Compare commits
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Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 ClaudeWorkerandClaude Opus 5.5
|
5ad4995f89 |
@@ -1,85 +0,0 @@
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Jet / fixed-patch review baseline — 2026-10-15
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Base main: 6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0
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Branch: baseline/jet-amr-20261014
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Publication target: Gitea Frank14f/CelerisLab only. This baseline does not
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advance main, publish to GitHub, or add new solver behavior.
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Scope
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The approved inventory contributes 43 previously tracked modifications and
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282 new files: D2 correctness/build/state repairs; planar slot/reservoir jet;
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static-circle surface actuation; one fixed 2:1 refinement patch; fine-interior
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circle integration; tests, examples and small historical validation records.
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Three reviewed repair logs are additionally retained: final-unit.log,
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final-gpu.log and simplification-checks.log. This explanation is the only new
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project document. Total: 329 changed/added paths relative to base main.
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Implementation: ed1a6ee54e07a5efbdc3f1880fde4cc357b10d7c (41 files)
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Tests/examples: cdbb9c42f6bfc65ec319313fb4e16cdc04dfdb95 (48 files)
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Historical evidence: 263f3b0c7addce7bacbb068f75ea707cf20b6810 (239 files)
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Historical source snapshots are evidence, not alternative runtime modules.
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|
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Explicit exclusions
|
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The user's local changes to src/CelerisLab/lbm/kernels/config/config_grid.h,
|
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config_method.h, config_objects.h, config_physics.h and
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tests/postproc/experiment.ipynb are not included. Their already committed
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base-main versions remain in the tree. Their five original-user-files backups
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are excluded. Also excluded: the six pre-existing docs/design files,
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docs/multilevel_grid_architecture_analysis.md, tests/audit/body删减功能.md,
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tests/validation/multigrid/MULTIGRID_VERIFICATION_STRATEGY.md, the twenty files
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under research/audit-2026-10-09 and research/design-2026-10-09,
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research/j3-lag-2026-10-12/trajectory.h5, caches and the other twenty-two ignored
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historical output files. These exclusions preserve local originals; they are
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not deletions from the working copy. Historical manifests/reports can reference
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excluded material. In particular analyze_j3_saved_frames.py needs the omitted
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17.2 MB trajectory, and historical example images/summaries are not all bundled.
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This is a selected review baseline, not a self-contained archival data package.
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Fresh clean-checkout checks
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Detached checkout of 263f3b0c7addce7bacbb068f75ea707cf20b6810 was clean before
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and after both successful batches. Its four generated config headers and
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experiment notebook were byte-equal to base main; excluded untracked files
|
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were absent. Existing pycuda_3_10 interpreter; PYTHONPATH explicitly selected
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the clean checkout's src, which was asserted at startup. CUDA_VISIBLE_DEVICES
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was empty. No CUDA context/GPU simulation or new CFD trajectory was requested.
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pytest selection 1 (tests/unit): test_refinement.py, test_fine_surface.py.
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Result: 24 passed, 23 subtests passed, exit 0; pytest time 0.75 seconds.
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pytest selection 2 (tests/unit): test_build_contracts.py,
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test_context_ownership.py, test_initializers.py, test_simulation_lifecycle.py,
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test_state_regressions.py, test_surface_actuation.py, test_planar_velocity.py,
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test_slot_velocity.py, test_reservoir.py.
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Result: 152 passed, 13 subtests passed, exit 0; pytest time 5.06 seconds.
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Both used -q -p no:cacheprovider, PYTHONNOUSERSITE=1,
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PYTHONDONTWRITEBYTECODE=1, PYTEST_DISABLE_PLUGIN_AUTOLOAD=1,
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OPENBLAS_NUM_THREADS=1 and OMP_NUM_THREADS=1. Boundary-header tests use the
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existing C++ compiler; compilation-contract tests mock the CUDA compiler.
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The first host-contract batch was interrupted when the temporary monitoring
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script raced a removed private build directory. Its test exit is unknown;
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it is not counted as a pass. Only the monitor was corrected and that batch
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rerun; the initial geometry batch was not repeated. Project code and test
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criteria were unchanged. The final documentation-only commit does not alter
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the tested implementation, tests, configuration or historical evidence.
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Historical limits retained
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- J3 positive/negative full velocity steady-state criteria did not pass.
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- The local-stress implementation README records Claude's review as incomplete;
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numerical execution is not a substitute for that implementation review.
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- repair provenance.json retains earlier 124/66 totals; final logs record
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130 unit +13 subtests and 74 GPU tests. simplification-checks.log describes
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an earlier phase with known XFAILs, not a new result on this baseline.
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- The 24-coarse-step joint run demonstrates startup disturbances crossing the
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interface, potentially acoustic. It does not establish a developed jet,
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physical accuracy, convergence order or long-term stability. Raw FP32 mass
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residuals remain nonzero despite the independently measured rounding ledger.
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- Fixed-patch support is not dynamic/block-level AMR, moving rigid bodies,
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complete 3D or multi-GPU support. Historical full suites were not rerun here.
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Publication screening
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Approved candidate bytes and the three logs were checked for common embedded
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credential/private-key patterns and unrelated private-location indicators;
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unchanged tracked blobs and staged content were also checked. No findings were
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detected. This bounded check is not a general security audit. Excluded files
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were hash-protected. No credentials, accounts, environments or remotes were
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modified by the baseline preparation.
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@@ -90,132 +90,6 @@ sim.run(100, stream=stream, upload_act=False, sync_obs=False)
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# Later: sync and read
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stream.synchronize()
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obs = sim.read_bodies(stream=stream) # sync already done, just read pinned buffer
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```
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### Fixed 2:1 refinement patch (experimental backend)
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`FixedPatchStepper` advances one fixed 2:1 refinement patch inside a coarse
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grid, optionally with stationary circles in the fine region and a prescribed
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normal surface velocity (blowing/suction). It is a standalone backend, not part
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of `Simulation`. Runnable demo (blocked fine storage; omit `--fine-block`
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for dense): `PYTHONPATH="$PWD/src" python examples/fixed_patch_circle.py --fine-block 16 20`.
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```python
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import numpy as np
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from CelerisLab.body.geometry.circle import CircleGeometry
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from CelerisLab.body.objects import SimObject, SurfaceActuation
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from CelerisLab.config import LBMConfig
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from CelerisLab.cuda.context import CudaContext
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from CelerisLab.lbm.equilibrium import compute_feq_d2q9
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from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
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cfg = LBMConfig(nx=32, ny=24, viscosity=.1)
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body = SimObject(0, geometry=CircleGeometry(16.0, 12.0, 2.15), center=(16.0, 12.0), radius=2.15,
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surface_actuation=SurfaceActuation(0.7, 0.85, 0.002)) # angle, half-width, speed
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with CudaContext(0) as ctx, FixedPatchStepper(cfg, (8, 6, 24, 18), context=ctx,
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fine_objects=[body], fine_block=(16, 20)) as run:
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rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
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# (9, ny, nx) postcollision populations per level; non-leaf cells are discarded.
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run.initialize(np.broadcast_to(rest, (9, *run.patch.coarse_shape)),
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np.broadcast_to(rest, (9, *run.patch.fine_shape)))
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run.step(128) # coarse steps; fine level takes two per step
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coarse_g, fine_g = run.download() # NaN on covered, ghost and solid cells
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```
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Scope and limits:
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- D2Q9, SRT, FP32, double buffer, unshifted, no LES or forcing; fixed 2:1 patches, two or three levels with separated rectangles.
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- `coarse_boundary="periodic"` (default) or `"slot_reservoir"` (bottom slot, top
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reservoir; patch needs `y0 >= 4`, `y1 <= ny-4`). Periodic mode ignores the wall/slot config fields.
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- Object centers/radii use the coarse **cell-edge** frame (cell `I` spans `[I, I+1)`),
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unlike `Simulation`'s integer-node frame. Surface speeds are in coarse lattice units.
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- Bodies must be stationary circles whose whole boundary stencil lies in the fine
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active region, clear of the coarse/fine transfer cells; violations are rejected
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before any GPU allocation.
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- `fine_block=(by, bx)` stores the fine level in fixed-size blocks; `by`/`bx` must
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divide the WHOLE fine allocation, i.e. `2*(y1-y0)+8` by `2*(x1-x0)+8` including the
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four-cell ghost band. It gives results identical to dense storage and is
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infrastructure for future block AMR, not a speedup.
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- Several separated patches: pass a sequence of `(x0, y0, x1, y1)`
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rectangles as `bounds`, at least 4 coarse cells apart, with both `fine_block`
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and `base_block`. The fine level is then one level-wide grid `(2*ny, 2*nx)`:
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`run.patch.fine_shape` gives it, `initialize`/`download` use it, and only the
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patch windows (active region plus 4-cell ghost band, origin `(2*y0-4, 2*x0-4)`)
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are stored; each window must align with `fine_block`. Order of rectangles does
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not matter. `fine_objects`/`jets` work as for one patch: each circle (same
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coarse cell-edge frame) must lie wholly inside one patch's active region with
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its boundary stencil clear of transfer cells; a jet may not select links of two
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different bodies, even across patches. Wall-touching patches are unsupported.
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Three-level nesting uses the explicit child coordinates described below.
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```python
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cfg = LBMConfig(nx=32, ny=16, viscosity=.1)
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rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
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with CudaContext(0) as ctx, FixedPatchStepper(
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cfg, ((4, 4, 12, 12), (16, 4, 24, 12)), context=ctx,
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fine_block=(4, 4), base_block=(4, 4)) as run:
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run.initialize(np.broadcast_to(rest, (9, *run.patch.coarse_shape)),
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np.broadcast_to(rest, (9, *run.patch.fine_shape))) # (9, 32, 64)
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run.step(32)
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coarse_g, fine_g = run.download() # coarse: NaN on every covered cell;
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# fine: NaN on every non-ACTIVE cell
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```
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- Three levels (one nested chain): add `child=(x0, y0, x1, y1)` in
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**L1 window cells** (the patch's fine grid including its 4-cell ghost band) and
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`child_block`, with `fine_block` and `base_block`. L2 must sit inside L1's
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ACTIVE cells, away from L1's ghost band and transfer footprint (checked before
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any GPU allocation). `initialize` and `download` take/return three arrays; each
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level is NaN on its non-ACTIVE (and child-covered) cells. One coarse step = 2 L1
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steps = 4 L2 steps. This scalar `child=` form uses one L1 patch.
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For separated L1/L2 sets, use `child_rectangles_in_parent`; see
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[coordinate frames and supported layouts](docs/fixed_three_level_multipatch.md).
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Optional stationary circles and Jets
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live on L2 via `child_objects` and `child_jets`; `fine_objects`/`jets` retain
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their L1 meaning and must be empty in this mode. All object and Jet geometry
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uses the **L0 edge frame**, not the child bounds' L1 window frame. L2 has
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dx=dt=0.25, so prescribed lattice velocity is unchanged. Each whole body and
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its BFL stencil must be inside L2 ACTIVE cells, outside the transfer footprint.
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A Jet may select one physical body across multiple blocks, never two bodies.
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```python
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from CelerisLab.body.geometry.circle import CircleGeometry
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from CelerisLab.body.objects import SimObject
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from CelerisLab.body.jets import Jet, Tube, Parallel
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cfg = LBMConfig(nx=16, ny=16, viscosity=.1)
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body = SimObject(0, geometry=CircleGeometry(8., 8., .8), center=(8., 8.), radius=.8)
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jet = Jet(Tube((6.5, 8.), 0., 3., .3), Parallel(0.), amplitude=.002)
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rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
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with CudaContext(0) as ctx, FixedPatchStepper(
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cfg, (4, 4, 12, 12), context=ctx, fine_block=(4, 4), base_block=(4, 4),
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child=(8, 8, 16, 16), child_block=(4, 4),
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child_objects=[body], child_jets=[jet]) as run:
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shapes = (run.patch.coarse_shape, run.patch.fine_shape, run.child_patch.fine_shape)
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run.initialize(*(np.broadcast_to(rest, (9, *s)) for s in shapes)) # 16², 24², 24²
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run.step(4)
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run.set_jet_amplitude(0, -.002, level=2) # default level=1 still addresses L1
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run.step(4)
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coarse_g, l1_g, l2_g = run.download() # solids/covered/nonleaves are NaN
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```
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- Manual synchronized L2 replacement: `replacement = current.remap_child(rectangles,
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child_objects=original_objects)` preserves the absolute step count and live Jet
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amplitudes. L0/L1 and whole body-containing L2 rectangles stay fixed; separated
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fluid rectangles may change. The source remains independently owned. See
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[ownership, pinning and transfer rules](docs/synchronized_leaf_remap.md).
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- Runnable three-level example: `PYTHONPATH=src python examples/multigrid_remap.py`.
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It uses two separated L1 regions, an L2 stationary Circle/Jet and an explicit
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fluid-rectangle move, retaining original root-frame body definitions. Add
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`--check-geometry` for a CPU-only check or `--verify-jet` for an optional
|
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next-step comparison with an explicitly driven control. No flowfiles are saved.
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- Not available: per-link surface exchange/force readout in blocked mode,
|
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checkpoints, moving bodies, L1 bodies/Jets in a three-level hierarchy,
|
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arbitrary depth, automatic AMR or `Simulation` integration.
|
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Storage/operator equivalence, remap and short-run gates do not establish
|
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convergence or long-time physical accuracy. The earlier shear-decay result is
|
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a research accuracy limitation, not a demonstrated solver bug. Pinned-body
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replay conditioned on actual L1 feeds is not an independent whole-body solver.
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See [three-level validation scope](docs/fixed_three_level_multipatch.md) and
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[remap validation scope](docs/synchronized_leaf_remap.md). The new usage example
|
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has CPU geometry/syntax checks only until its GPU command is run on Horsea.
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## Installation
|
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|
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@@ -0,0 +1 @@
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2026-10-14 ClaudeWorker coding test
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@@ -1,76 +0,0 @@
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# Fixed three-level separated patches
|
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`FixedPatchStepper` supports exactly three static, blocked levels with separated
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rectangle sets on either adjacent pair. This is not general AMR: there is no
|
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per-region timestep, moving geometry, dynamic refinement or L1 body support.
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All regions share one current/spare buffer pair per level. The existing schedule
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advances L0 once, L1 twice and L2 four times per base step, with aggregate transfers.
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No CUDA kernel changes are involved.
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## Explicit coordinate frames
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Keep the existing scalar `child=(x0,y0,x1,y1)` for a single scalar parent patch.
|
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Its coordinates retain their original meaning: half-open integer indices in the
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allocated L1 window, including its ghost band.
|
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|
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The new keyword `child_rectangles_in_parent=[...]` is mutually exclusive with
|
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`child`. It accepts a scalar or a set parent and interprets every rectangle in
|
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the actual allocated L1 array, including ghost bands and holes. It never infers
|
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region-local coordinates. The physical root cell edge corresponding to an L1
|
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index `(x,y)` is `parent.fine_origin + (x,y)/2`:
|
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|
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- A scalar L1 parent has a shifted window origin.
|
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- A set L1 parent has origin `(0,0)` and public shape `(2*ny,2*nx)`.
|
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- A child set has public shape twice the allocated L1 shape. Its root origin is
|
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the L1 allocated origin, even when the parent is a scalar window.
|
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|
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For a 16x16 root, scalar parent `(4,4,12,12)` and scalar child `(8,8,16,16)`
|
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are physically equivalent to parent set `[(4,4,12,12)]` with child set
|
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`[(12,12,20,20)]`. A child set on the *scalar* parent instead uses
|
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`[(8,8,16,16)]`. Reusing the same numbers after changing the parent frame can
|
||||
move the physical region.
|
||||
|
||||
Both adjacent pairs require a Chebyshev gap of at least four in their own
|
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parent-cell units. The whole child union must preserve inherited ACTIVE
|
||||
coverage, uncovered ACTIVE donors/receivers, surviving pulls, and the upstream
|
||||
restriction footprint. Sparse holes remain unowned; inherited INNER remains
|
||||
stream-only and OUTER remains invalid. Block sizes must align with every
|
||||
support edge, including its four-cell ghost band.
|
||||
|
||||
## Example
|
||||
|
||||
```python
|
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run = FixedPatchStepper(
|
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cfg, [(4, 4, 20, 28), (24, 4, 44, 28)], context=ctx,
|
||||
base_block=(4, 4), fine_block=(4, 4), child_block=(4, 4),
|
||||
child_rectangles_in_parent=[(16, 16, 32, 40), (56, 16, 80, 40)],
|
||||
)
|
||||
```
|
||||
|
||||
This example uses a 48x32 root. `initialize` and `download` use three Q-major
|
||||
dense arrays. Public arrays and masks still scale with the full allocated
|
||||
extent; sparse device buffers do not remove that host-memory limit.
|
||||
|
||||
Stationary whole-circle `child_objects` and `child_jets` use root edge
|
||||
coordinates and a single L2 boundary object. Body IDs are physical object-list
|
||||
positions, not region IDs or caller `obj_id`. Complete boundary stencils must
|
||||
avoid the transfer footprint. Change a child Jet with
|
||||
`set_jet_amplitude(index, value, level=2)`; L1 bodies/Jets remain unsupported.
|
||||
|
||||
## Verification
|
||||
|
||||
CPU geometry, table, pre-CUDA rejection, schedule and cleanup tests:
|
||||
|
||||
```sh
|
||||
PYTHONPATH=src python -m unittest discover -s tests/unit -p 'test_refinement*.py' -v
|
||||
```
|
||||
|
||||
Explicit GPU gates are in
|
||||
`tests/validation/multigrid/test_refinement_three_level_multipatch_gpu.py`.
|
||||
They cover physical-frame equivalence, twins, asymmetric refinement, multiple
|
||||
children, reversed order, independently varied aligned layouts, public/raw
|
||||
masks and two L2 bodies with static/zero/driven/switched Jets. Snapshots are
|
||||
0/1/2/8. CPU mocks do not execute CUDA and do not establish numerical accuracy.
|
||||
GPU equivalence gates supplement the separately frozen independent dense
|
||||
three-level numerical replay; passing either alone is not a conservation,
|
||||
performance or physical-accuracy claim.
|
||||
@@ -1,185 +0,0 @@
|
||||
# Synchronized leaf G remap and manual continuation
|
||||
|
||||
This is a CPU state-transfer component, **not a runtime adaptive solver**.
|
||||
It changes only a separated L2 rectangle set in a three-level periodic
|
||||
hierarchy, either body-free or with stationary Circles/Jets in unchanged pinned
|
||||
L2 rectangles (see below). L0/L1 topology, relaxation parameters, direction order,
|
||||
physical frame and completed time remain unchanged. Existing geometry checks
|
||||
validate child support/nesting and separation. The CPU helper itself adds no CUDA, scheduler, allocator, boundary handling,
|
||||
collision or ghost refill. A bounded runtime adapter is described below.
|
||||
|
||||
```python
|
||||
from CelerisLab.lbm.refinement import FixedPatchSet2D
|
||||
from CelerisLab.lbm.synchronized_remap import RemapTopology, remap_synchronized
|
||||
|
||||
# cfg: D2Q9/SRT/FP32/unshifted/double_buffer, nz=1, no LES
|
||||
parent = FixedPatchSet2D.from_config(cfg, [(4, 4, 20, 28), (24, 4, 44, 28)])
|
||||
old = RemapTopology.from_config(cfg, parent, [(16, 16, 32, 40)])
|
||||
new = RemapTopology.from_config(cfg, parent, [(20, 16, 36, 40)])
|
||||
candidate = remap_synchronized(
|
||||
old, new, current_g, base_count=7, level_steps=(7, 14, 28),
|
||||
phase="postcollision_g", origin=(0., 0.), spacing=1.,
|
||||
)
|
||||
```
|
||||
|
||||
The example has a 48×32 root; both child supports allow 4×4 blocks.
|
||||
Child bounds use the parent's allocated L1 coordinates, not rectangle-local
|
||||
indices. A scalar FixedPatch2D parent is also supported: its shifted L1 window
|
||||
origin is retained. Physical lower edges are `origin + spacing*(x,y)` on L0,
|
||||
`origin + spacing*(parent.fine_origin + (x,y)/2)` on L1 and
|
||||
`origin + spacing*(parent.fine_origin + (x,y)/4)` on L2.
|
||||
|
||||
Factory options `coarse_boundary` and `objects` must declare `"periodic"` and
|
||||
an empty L0/L1 body collection; use `child_objects`/`child_jets` for pinned L2
|
||||
bodies. LBMConfig's channel settings do not
|
||||
select this operator's boundary mode. Geometry metadata is factory-created;
|
||||
manual mutation/forging of metadata is unsupported. Caller certifies the
|
||||
actual state has no undeclared bodies or forcing, that all device work and old
|
||||
readers are quiescent, and that inputs are the **current owned-leaf postcollision G**.
|
||||
Count/phase stamps check consistency, not freshness or active-buffer identity.
|
||||
|
||||
`current_g` is three NumPy Q-major arrays `(9,ny,nx)`. For blocked inputs,
|
||||
pass `layouts=(base_layout, fine_layout, child_layout)`; each optional `None`
|
||||
entry denotes dense input. Every leaf must have an owner. Only owner cores
|
||||
are read, never redundant block halos. Mixed precision is rejected. FP64 is
|
||||
accepted for CPU reference tests; this does not enable FP64 runtime storage.
|
||||
Outputs `candidate.g` are separate dense arrays regardless of input layout.
|
||||
Memory scales with public grid extents, not only sparse allocated blocks.
|
||||
|
||||
Same-level leaf overlap is copied bitwise in physical coordinates. Newly
|
||||
refined L2 copies all nine values from its valid old L1 parent. Newly exposed
|
||||
L1 receives the complete four-child mean, including q0. Covered parents,
|
||||
ghosts and holes never serve as donors; NaN/Inf outside leaves is ignored,
|
||||
while nonfinite required leaves or nonpositive density reject the operation.
|
||||
Restriction uses FP64 quarter-weight accumulation and rounds to the input
|
||||
dtype. New nonleaves are NaN. Source arrays/metadata are not changed.
|
||||
|
||||
`candidate` retains `base_count`, `level_steps`, `phase`, `origin`, `spacing`
|
||||
and new `topology.leaf_masks`. Existing `FixedPatchStepper.initialize` resets
|
||||
the counter: using it is **not** a continuation adapter. This component neither
|
||||
publishes a candidate nor retires old state. Runtime table rebuild/halo refill
|
||||
and correct first-step scheduling are handled only by the explicit adapter below.
|
||||
|
||||
Tests accumulate leaf-area integrals in FP64 for each population, mass and
|
||||
momentum. The declared absolute tolerance is `2e-13 * sum(abs(old population
|
||||
integrals))` for FP64, `2e-7 * scale` for FP32, accounting for reduction and
|
||||
restriction rounding (not a solver accuracy bound). Coarse→fine→coarse copy
|
||||
round-trips preserve state; coarsening arbitrary fine structure loses it and
|
||||
is not invertible. No kinetic accuracy or stability claim follows.
|
||||
|
||||
```sh
|
||||
PYTHONPATH=src python -m unittest discover -s tests/unit -p 'test_synchronized_remap.py' -v
|
||||
```
|
||||
|
||||
## Explicit runtime continuation
|
||||
|
||||
`replacement = current.remap_child(rectangles)` returns a new ready
|
||||
`FixedPatchStepper` at the **same absolute step_count**. It supports only
|
||||
periodic three-level runs whose existing L2 uses
|
||||
`child_rectangles_in_parent`, either body-free or under the pinned-body rules below.
|
||||
Scalar or union L1 parents are supported; scalar
|
||||
`child=` is deliberately rejected. L0/L1, relaxation and block sizes stay fixed.
|
||||
No tagger, scheduler, in-place replacement, or general rollback is provided.
|
||||
|
||||
The method holds the stepper lock, validates geometry, synchronizes its stream,
|
||||
and downloads the actual current owned leaves. It certifies postcollision G
|
||||
and completed 1:2:4 counts internally, applies the CPU helper, rebuilds all
|
||||
geometry/transfer/kind/halo buffers, and uploads both current and spare buffers.
|
||||
No old halo is reused. The regular step schedule fills transit ghosts/halos
|
||||
before use. `initialize` itself still resets the count to zero.
|
||||
|
||||
The old stepper remains ready, unchanged and independently usable. The caller
|
||||
owns **both** objects and must close both before closing their shared CUDA
|
||||
context. Candidate construction or upload failure releases only candidate
|
||||
resources; an actual old-device synchronization/read failure marks the old
|
||||
stepper failed, consistent with its existing failure semantics.
|
||||
|
||||
```python
|
||||
replacement = current.remap_child([(20, 16, 36, 40)])
|
||||
# Explicitly choose the returned continuation only after success.
|
||||
current.close()
|
||||
current = replacement
|
||||
current.step() # advances the preserved absolute count by one
|
||||
```
|
||||
|
||||
CPU lifecycle mocks cover fresh current-buffer reads, exact transfer, separate
|
||||
ownership, time preservation, ordinary initialization reset, unsupported states
|
||||
and geometry, and candidate/source failure cleanup. GPU tests are predeclared
|
||||
in `tests/validation/multigrid/test_runtime_child_remap_gpu.py`: identity next
|
||||
step bitwise, shifted A→B→A with two intervals between changes, uniform moving
|
||||
and nonequilibrium states, exact CPU remap and overlap, both buffers reset,
|
||||
finite leaves, exact masks and absolute counts. These are GPU execution gates,
|
||||
not CPU-mock results. The separate body-free independent FP64 capture/replay
|
||||
gate is max population error **3e-6**, with exact masks; remap mass/momentum allow FP32 roundoff.
|
||||
Per-population conservation is not an advancement target under collision.
|
||||
|
||||
### Bounded pinned-body extension
|
||||
|
||||
`replacement = current.remap_child(rectangles, child_objects=original_objects)`
|
||||
also accepts stationary Circles in separated L2 rectangles. Every body’s
|
||||
**complete containing rectangle must remain identical**. Several bodies may
|
||||
share one pinned rectangle; there need not be any fluid-only rectangles.
|
||||
Separated fluid-only rectangles may be added, removed or moved. Existing
|
||||
nesting, four-cell gap, full-circle containment, reverse cut-link coverage and two-hop BFL
|
||||
transfer-footprint checks still apply. This is manual remapping, not adaptive
|
||||
body tracking or runtime body editing.
|
||||
|
||||
Supply all original root edge-frame definitions in their construction order.
|
||||
Do not pass `current.child_boundary.objects`: those are projected fine-local copies.
|
||||
There is no retained mutable original-object registry. Before reading device
|
||||
state, remapping reprojects the supplied definition onto the old topology and
|
||||
compares exact ordered circle centers/radii, flags, physical cut links, body
|
||||
IDs, q, lever arms, hits, BFL support,
|
||||
legacy SurfaceActuation specification and current per-link velocity against
|
||||
the existing boundary. Omission, changed geometry/actuation and changed body
|
||||
rectangle fail without device reads or allocations; reordered bodies fail
|
||||
too. Root object IDs are still assigned by list position, as in the constructor.
|
||||
|
||||
Jets are taken from the live L2 boundary, including the most recent successful
|
||||
`set_jet_amplitude(..., level=2)`. There is no replacement-Jets argument or
|
||||
constructor-time Jet snapshot. New blocked addresses may differ; the physical
|
||||
boundary and velocities must match exactly.
|
||||
|
||||
`RemapTopology.from_config(..., child_objects=..., child_jets=...)` prepares a
|
||||
typed `FineBoundary2D`; it derives L2 fluid leaves as ACTIVE minus SOLID. No
|
||||
caller mask is accepted. Solids, ghosts and holes are never donors and remain
|
||||
NaN, physical-fluid overlap is exact, and exposed L1 still restricts all four
|
||||
old fluid children. The helper checks the old/new body pins and boundary too.
|
||||
Its immutable `pinned_rectangles` is a canonical, deduplicated tuple, empty for body-free layouts; rectangle input
|
||||
order does not affect it. Scalar-parent window offsets remain part of the
|
||||
coordinate conversion.
|
||||
|
||||
Focused CPU mocks: `tests/unit/test_pinned_body_remap.py`. GPU declarations:
|
||||
`tests/validation/multigrid/test_pinned_body_remap_gpu.py`, covering no-op
|
||||
next-step bitwise identity, moved-fluid A→B→A, current-amplitude preservation,
|
||||
physical boundary/velocity equality, source independence and absolute counts.
|
||||
Multiple-body CPU coverage: `tests/unit/test_multiple_pinned_remap.py`.
|
||||
`tests/validation/multigrid/test_multiple_pinned_remap_gpu.py` adds two pins,
|
||||
two independently updated Jets, variable fluid-region counts and add/move/remove
|
||||
immediate comparisons with CPU transfer. All nine solid-excluded area-weighted
|
||||
population integrals, exact overlap and nonleaf NaNs are checked.
|
||||
These transfer/equivalence cases do not establish evolution accuracy. Historical
|
||||
pinned-body FP64 replay uses actual L1 feeds: it checks conditional L2 evolution,
|
||||
not an independent whole-body solver or whole-hierarchy accuracy. The body-free
|
||||
replay gate above does not establish that stronger claim either.
|
||||
|
||||
## Small runnable usage example
|
||||
|
||||
[`examples/multigrid_remap.py`](../examples/multigrid_remap.py) keeps the original
|
||||
root-frame Circle/Jet definitions, moves a fluid-only L2 rectangle, checks fluid
|
||||
leaves with geometry-derived masks and retires both old/new owners before their
|
||||
shared context. `--verify-jet` adds a temporary control solely to compare the
|
||||
next step against an explicitly set live amplitude; normal use needs no control.
|
||||
|
||||
```sh
|
||||
# Host-only: no CUDA import or allocation.
|
||||
PYTHONPATH=src python examples/multigrid_remap.py --check-geometry
|
||||
# Horsea: select an approved idle physical GPU; it becomes logical device 0.
|
||||
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/multigrid_remap.py --verify-jet
|
||||
```
|
||||
|
||||
The new example has passed host geometry and syntax/import checks only; its GPU
|
||||
run is pending Horsea. Expected scope: base counts 2 before/after remap, then 5;
|
||||
finite positive-density fluid leaves, NaN nonleaves, and exact next-step control
|
||||
agreement. This is a short public-API smoke run, not a physical accuracy test.
|
||||
No flowfiles are written.
|
||||
@@ -1,121 +0,0 @@
|
||||
"""Public API demo: fixed 2:1 patch with a stationary, optionally actuated circle.
|
||||
|
||||
From this checkout, after checking the selected physical GPU is idle:
|
||||
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_circle.py --fine-block 16 20
|
||||
... --speed -0.002 --fine-block 16 20 --mode slot_reservoir
|
||||
Omit --fine-block for the (equivalent) dense fine storage.
|
||||
|
||||
A short smoke run (default 128 coarse steps): it shows setup, stepping and
|
||||
fluid-only diagnostics, not a developed flow, accuracy or long-time stability.
|
||||
Normal blowing/suction injects/extracts mass, so leaf mass is expected to change.
|
||||
No files, plots or checkpoints are written.
|
||||
"""
|
||||
import argparse
|
||||
from pathlib import Path
|
||||
|
||||
import numpy as np
|
||||
|
||||
import CelerisLab
|
||||
from CelerisLab.body.geometry.circle import CircleGeometry
|
||||
from CelerisLab.body.objects import SimObject, SurfaceActuation
|
||||
from CelerisLab.config import LBMConfig
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY, SOLID
|
||||
from CelerisLab.lbm.equilibrium import compute_feq_d2q9
|
||||
from CelerisLab.lbm.refinement import ACTIVE
|
||||
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
|
||||
|
||||
NX, NY, BOUNDS = 32, 24, (8, 6, 24, 18) # coarse cells; patch is half-open (x0, y0, x1, y1)
|
||||
CENTER, RADIUS = (16.0, 12.0), 2.15 # coarse CELL-EDGE frame: cell I spans [I, I+1)
|
||||
|
||||
|
||||
def config(mode):
|
||||
if mode == "periodic": # x and y periodic coarse level
|
||||
return LBMConfig(nx=NX, ny=NY, viscosity=.1)
|
||||
# Bottom on-site velocity slot, top fixed-density reservoir, x periodic.
|
||||
return LBMConfig(nx=NX, ny=NY, viscosity=.1, velocity=0, wall_normal_velocity=.001,
|
||||
wall_slot_width=8, y_wall_bc="on_site_velocity", top_wall_bc="reservoir")
|
||||
|
||||
|
||||
def leaf_masks(run, mode):
|
||||
"""Known fluid leaves: uncovered coarse cells (minus wall rows in slot mode)
|
||||
and fine ACTIVE cells outside the body."""
|
||||
p = run.patch
|
||||
x0, y0, x1, y1 = p.bounds
|
||||
coarse = np.ones(p.coarse_shape, bool)
|
||||
coarse[y0:y1, x0:x1] = False
|
||||
if mode == "slot_reservoir":
|
||||
coarse[[0, -1]] = False
|
||||
solid = (run.fine_boundary.flags.reshape(p.fine_shape) & SOLID) != 0
|
||||
return coarse, (p.fine_kind == ACTIVE) & ~solid
|
||||
|
||||
|
||||
def leaf_diagnostics(coarse, fine, masks):
|
||||
"""Fluid leaves only; a non-finite population or rho <= 0 there is an error.
|
||||
|
||||
Mass counts a fine cell as 1/4 of a coarse cell (2D, 2:1)."""
|
||||
out = {}
|
||||
for name, g, leaf, area in (("coarse", coarse, masks[0], 1.0), ("fine", fine, masks[1], .25)):
|
||||
f = g[:, leaf].astype(np.float64)
|
||||
rho = f.sum(axis=0)
|
||||
if not np.isfinite(f).all() or (rho <= 0).any():
|
||||
raise RuntimeError(f"non-finite population or non-positive density on a {name} fluid leaf")
|
||||
ux = (np.array(D2Q9_EX)[:, None] * f).sum(axis=0) / rho
|
||||
uy = (np.array(D2Q9_EY)[:, None] * f).sum(axis=0) / rho
|
||||
out[name] = (area * rho.sum(), rho.min(), rho.max(), np.hypot(ux, uy).max())
|
||||
return out
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
|
||||
parser.add_argument("--mode", choices=("periodic", "slot_reservoir"), default="periodic")
|
||||
parser.add_argument("--speed", type=float, default=.002,
|
||||
help="normal surface velocity, coarse lattice units (+ blows, - sucks, 0 passive)")
|
||||
parser.add_argument("--fine-block", type=int, nargs=2, metavar=("BY", "BX"),
|
||||
help="blocked fine storage; must divide the whole fine allocation (32 x 40 here)")
|
||||
parser.add_argument("--steps", type=int, default=128)
|
||||
args = parser.parse_args()
|
||||
if args.steps < 0:
|
||||
parser.error("--steps must be nonnegative")
|
||||
root = Path(__file__).resolve().parents[1]
|
||||
if Path(CelerisLab.__file__).resolve() != root / "src/CelerisLab/__init__.py":
|
||||
raise RuntimeError(f"Set PYTHONPATH to {root / 'src'}")
|
||||
|
||||
# Aperture centred at angle 0.7 rad, half-width 0.85 rad (the tested fixture).
|
||||
spec = SurfaceActuation(0.7, 0.85, args.speed) if args.speed else None
|
||||
body = SimObject(0, geometry=CircleGeometry(*CENTER, RADIUS), center=CENTER, radius=RADIUS,
|
||||
surface_actuation=spec)
|
||||
cfg = config(args.mode)
|
||||
fine_block = tuple(args.fine_block) if args.fine_block else None
|
||||
# The caller owns the CUDA context; the stepper must be closed first (the
|
||||
# nested with-statement does that).
|
||||
with CudaContext(0) as context, FixedPatchStepper(
|
||||
cfg, BOUNDS, context=context, coarse_boundary=args.mode,
|
||||
fine_objects=[body], fine_block=fine_block) as run:
|
||||
p = run.patch
|
||||
# Rest equilibrium is already postcollision G, so no initial collision is
|
||||
# needed. Non-leaf entries (covered, ghost, solid) are discarded by initialize.
|
||||
rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
|
||||
run.initialize(np.broadcast_to(rest, (9, *p.coarse_shape)),
|
||||
np.broadcast_to(rest, (9, *p.fine_shape)))
|
||||
storage = f"blocked {fine_block}" if fine_block else "dense"
|
||||
print(f"mode={args.mode} fine storage={storage} speed={args.speed:+g} "
|
||||
f"(fine allocation {p.fine_shape[0]}x{p.fine_shape[1]}, fine origin {p.fine_origin})")
|
||||
masks = leaf_masks(run, args.mode)
|
||||
start = leaf_diagnostics(*run.download(), masks)
|
||||
for _ in range(0, args.steps, 32):
|
||||
run.step(min(32, args.steps - run.step_count))
|
||||
coarse, fine = run.download() # synchronized postcollision G, NaN on non-leaves
|
||||
d = leaf_diagnostics(coarse, fine, masks)
|
||||
mass = d["coarse"][0] + d["fine"][0]
|
||||
rho_lo = min(d["coarse"][1], d["fine"][1])
|
||||
rho_hi = max(d["coarse"][2], d["fine"][2])
|
||||
speed = max(d["coarse"][3], d["fine"][3])
|
||||
print(f"coarse step {run.step_count:4d}: leaf mass {mass:.9f} "
|
||||
f"(change {mass - start['coarse'][0] - start['fine'][0]:+.3e}) "
|
||||
f"rho [{rho_lo:.6f}, {rho_hi:.6f}] max |u| {speed:.3e}")
|
||||
print("smoke run only: storage/stepping demonstration, not accuracy or stability evidence")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,203 +0,0 @@
|
||||
"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
|
||||
|
||||
From this checkout, after checking the selected physical GPU is idle:
|
||||
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
|
||||
|
||||
The fixed-amplitude start includes acoustic transients, not a developed jet.
|
||||
Only native leaf cells are plotted. No interpolation, restart or flow oracle.
|
||||
Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
|
||||
H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
|
||||
An acoustic crossing (~78 steps) does not imply that transients have disappeared.
|
||||
Mach is sampled over all leaves every 50 steps and is usually inlet dominated;
|
||||
the discrete inlet peak is slightly below continuous A. This is not an accuracy test.
|
||||
The 120s checks are cooperative, not an exact interruption deadline. main elapsed
|
||||
includes construction, advancement and plotting; it is not pure CFD timing.
|
||||
"""
|
||||
import argparse
|
||||
from dataclasses import replace
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
import tempfile
|
||||
import time
|
||||
|
||||
import numpy as np
|
||||
|
||||
import CelerisLab
|
||||
from CelerisLab.config import load_lbm_config
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
|
||||
from CelerisLab.lbm.refinement import ACTIVE
|
||||
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
|
||||
|
||||
BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
|
||||
TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
|
||||
|
||||
|
||||
def measure(arrays, masks, centers, initial_mass):
|
||||
fields = []
|
||||
for array, mask in zip(arrays, masks):
|
||||
if not np.isfinite(array[:, mask]).all():
|
||||
raise RuntimeError("Nonfinite leaf populations")
|
||||
field = np.full((*mask.shape, 3), np.nan)
|
||||
field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
|
||||
fields.append(field)
|
||||
leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
|
||||
speed = np.hypot(leaves[:, 1], leaves[:, 2])
|
||||
mass = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
for area, a, m in zip((1, .25), arrays, masks))
|
||||
record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
|
||||
rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
|
||||
sampled_max_Mach=float(speed.max()*np.sqrt(3)),
|
||||
density_deviation=float(np.abs(leaves[:, 0]-1).max()),
|
||||
discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
|
||||
if not record['finite'] or record['rho_min'] <= 0 or record['sampled_max_Mach'] > MAX_MACH:
|
||||
raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
|
||||
walls = fields[0][[1, -2]]
|
||||
record['macro_sum_rho_v'] = dict(zip(('Q_in', 'Q_out'),
|
||||
(walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()))
|
||||
record['centerline'] = []
|
||||
for level, y in ((1, 16.25), (0, 32.5)):
|
||||
xs, ys = centers[level]
|
||||
columns = np.argsort(np.abs(xs-24))[:2]
|
||||
row = int(np.flatnonzero(ys == y)[0])
|
||||
values = fields[level][row, columns].mean(axis=0)
|
||||
record['centerline'].append(dict(level=level, x=24, y=y,
|
||||
sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
|
||||
rho_ux_uy=values.tolist()))
|
||||
return fields, record
|
||||
|
||||
|
||||
def draw(out, snapshots, masks, centers):
|
||||
import matplotlib
|
||||
matplotlib.use('Agg')
|
||||
import matplotlib.pyplot as plt
|
||||
from matplotlib.collections import PolyCollection
|
||||
|
||||
def decorate(ax):
|
||||
ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
|
||||
ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
|
||||
ax.axhline(1.5, color='black', lw=1)
|
||||
ax.axhline(46.5, color='black', lw=1, ls='--')
|
||||
ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
|
||||
|
||||
fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
|
||||
for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
|
||||
yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
cells = np.stack((xx[mask], yy[mask]), axis=-1)
|
||||
vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
|
||||
ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
|
||||
decorate(ax)
|
||||
ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
|
||||
'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
|
||||
'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
|
||||
fig.savefig(out/'layout.png', dpi=150, bbox_inches='tight', pad_inches=.15)
|
||||
plt.close(fig)
|
||||
vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
|
||||
for fields in snapshots for f in fields))
|
||||
fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
|
||||
for ax, step, fields in zip(axes, TIMES, snapshots):
|
||||
for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
|
||||
speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
|
||||
image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
|
||||
np.r_[ys-dx/2, ys[-1]+dx/2], speed,
|
||||
shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
|
||||
stride = int(4/dx)
|
||||
yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
selection = np.zeros_like(mask)
|
||||
selection[::stride, ::stride] = mask[::stride, ::stride]
|
||||
ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
|
||||
angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
|
||||
decorate(ax)
|
||||
ax.set_title(f'coarse t={step}, fine steps={2*step}')
|
||||
fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
|
||||
fig.suptitle('Low-Re startup flow in an x-periodic confined domain\n'
|
||||
'Fixed-amplitude start includes acoustic transients; not steady/developed\n'
|
||||
'Nozzle remains coarse; flow may cross patch sides (not fully enclosed)', fontsize=11)
|
||||
fig.savefig(out/'velocity.png', dpi=150)
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description=__doc__)
|
||||
parser.add_argument('--output', type=Path, required=True)
|
||||
out = parser.parse_args().output.resolve()
|
||||
root = Path(__file__).resolve().parents[1]
|
||||
if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
|
||||
raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
|
||||
out.mkdir(parents=True, exist_ok=False)
|
||||
cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
|
||||
nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
|
||||
wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
|
||||
lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
|
||||
store_precision='FP32', ddf_shifting=False, les_enabled=False)
|
||||
report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
|
||||
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
|
||||
guards=dict(check_every=50, positive_density=True, finite=True,
|
||||
max_Mach=MAX_MACH, max_seconds=MAX_SECONDS,
|
||||
timing='cooperative checks, not an exact interruption deadline'),
|
||||
scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
|
||||
W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
|
||||
W_squared_over_nu=WIDTH**2/cfg.viscosity,
|
||||
H_squared_over_nu=(cfg.ny-3)**2/cfg.viscosity,
|
||||
acoustic_crossing=(cfg.ny-3)*np.sqrt(3)),
|
||||
notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
|
||||
'Q_in/Q_out are bottom/top macro sum(rho*vy), not a closed population budget. '
|
||||
'Mach maxima are sampled every 50 steps, not every-step peaks. '
|
||||
'One acoustic crossing does not imply transient decay; no steady-state claim.',
|
||||
samples=[], status='running', last_synchronized_coarse_step=0)
|
||||
start, run = time.monotonic(), None
|
||||
try:
|
||||
with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
|
||||
coarse_boundary='slot_reservoir') as run:
|
||||
p = run.patch
|
||||
masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
|
||||
masks[0][[0, -1]] = False
|
||||
masks[0][4:28, 16:32] = False
|
||||
centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
|
||||
origin[1]+dx*(np.arange(shape[0])+.5))
|
||||
for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
|
||||
(p.fine_shape, p.fine_origin, .5))]
|
||||
initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
|
||||
for m in masks]
|
||||
for x in range(cfg.nx):
|
||||
v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
|
||||
initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
|
||||
run.initialize(*initial)
|
||||
mass0 = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
for area, a, m in zip((1, .25), initial, masks))
|
||||
snapshots = []
|
||||
for step in range(0, TIMES[-1]+1, 50):
|
||||
if time.monotonic()-start > MAX_SECONDS:
|
||||
raise TimeoutError('120 second demonstration limit reached')
|
||||
if step:
|
||||
run.step(50)
|
||||
report['last_synchronized_coarse_step'] = run.step_count
|
||||
if time.monotonic()-start > MAX_SECONDS:
|
||||
raise TimeoutError('120 second demonstration limit reached after chunk')
|
||||
fields, sample = measure(run.download(), masks, centers, mass0)
|
||||
sample.update(t=step, coarse_steps=step, fine_steps=2*step)
|
||||
report['samples'].append(sample)
|
||||
print(json.dumps(sample), flush=True)
|
||||
if step in TIMES:
|
||||
snapshots.append(fields)
|
||||
with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
|
||||
os.environ['MPLCONFIGDIR'] = cache
|
||||
draw(out, snapshots, masks, centers)
|
||||
if time.monotonic()-start > MAX_SECONDS:
|
||||
raise TimeoutError('120 second demonstration limit reached after plotting')
|
||||
report['status'] = 'complete'
|
||||
except BaseException as exc:
|
||||
report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
|
||||
last_synchronized_coarse_step=run.step_count if run is not None else 0)
|
||||
raise
|
||||
finally:
|
||||
report['elapsed_seconds'] = time.monotonic()-start
|
||||
report['elapsed_scope'] = 'main construction, advancement and plotting; not pure CFD time'
|
||||
(out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
|
||||
print(f'{report["status"]}: last synchronized coarse step '
|
||||
f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -1,76 +0,0 @@
|
||||
"""Public API demo: small periodic shear, one fixed 2:1 patch, eight coarse steps.
|
||||
|
||||
From this checkout, after checking the selected physical GPU is idle:
|
||||
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_periodic_patch.py
|
||||
|
||||
This demonstrates initialization/stepping/leaf output, not interface accuracy.
|
||||
There are no walls, objects, forces, checkpoint files or plots.
|
||||
"""
|
||||
from dataclasses import replace
|
||||
from pathlib import Path
|
||||
|
||||
import numpy as np
|
||||
|
||||
import CelerisLab
|
||||
from CelerisLab.config import load_lbm_config
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
|
||||
from CelerisLab.lbm.refinement import ACTIVE
|
||||
from CelerisLab.lbm.refinement_stepper import PeriodicPatchStepper
|
||||
|
||||
|
||||
def shear_equilibrium(shape, origin, dx, period):
|
||||
"""Sample ux(y)=1e-3*sin(2*pi*y/period) at physical cell centers.
|
||||
|
||||
Centers are origin + dx*(index+.5); this shear is independent of x.
|
||||
Fine origin includes patch offset AND the four-cell halo, with dx=.5.
|
||||
Equilibrium is already postcollision G, so no initial collision is needed.
|
||||
"""
|
||||
y = origin[1] + dx * (np.arange(shape[0]) + .5)
|
||||
ux = 1e-3 * np.sin(2*np.pi*y/period)
|
||||
rows = np.stack([compute_feq_d2q9(1.0, float(u), 0.0) for u in ux], axis=1)
|
||||
return np.repeat(rows[:, :, None], shape[1], axis=2)
|
||||
|
||||
|
||||
def leaf_summary(coarse, fine, coarse_leaf, fine_leaf):
|
||||
"""Use the same leaf masks/areas for initial and final mass."""
|
||||
c, f = coarse[:, coarse_leaf], fine[:, fine_leaf]
|
||||
mass = c.sum(dtype=np.float64) + .25*f.sum(dtype=np.float64)
|
||||
macros = np.array([compute_macro_from_ddf(v) for v in np.concatenate((c, f), axis=1).T])
|
||||
return mass, macros.min(axis=0), macros.max(axis=0)
|
||||
|
||||
|
||||
def main():
|
||||
root = Path(__file__).resolve().parents[1]
|
||||
if Path(CelerisLab.__file__).resolve() != root / "src/CelerisLab/__init__.py":
|
||||
raise RuntimeError(f"Set PYTHONPATH to {root / 'src'}")
|
||||
cfg = replace(load_lbm_config(str(root / "src/CelerisLab/configs/config_lbm.json")),
|
||||
nx=16, ny=16, viscosity=.1, velocity=1e-3, rho=1.0,
|
||||
lattice_model="D2Q9", collision="SRT", streaming="double_buffer",
|
||||
store_precision="FP32", ddf_shifting=False, les_enabled=False)
|
||||
with CudaContext(0) as context, PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context) as run:
|
||||
p = run.patch
|
||||
coarse = shear_equilibrium(p.coarse_shape, (0, 0), 1.0, cfg.ny)
|
||||
fine = shear_equilibrium(p.fine_shape, p.fine_origin, .5, cfg.ny)
|
||||
coarse_leaf = np.ones(p.coarse_shape, dtype=bool)
|
||||
x0, y0, x1, y1 = p.bounds
|
||||
coarse_leaf[y0:y1, x0:x1] = False
|
||||
fine_leaf = p.fine_kind == ACTIVE
|
||||
coarse[:, ~coarse_leaf] = np.nan
|
||||
fine[:, ~fine_leaf] = np.nan
|
||||
run.initialize(coarse, fine)
|
||||
initial_mass, _, _ = leaf_summary(*run.download(), coarse_leaf, fine_leaf)
|
||||
run.step(8)
|
||||
coarse, fine = run.download() # Both levels synchronized, stored postcollision G.
|
||||
assert np.isnan(coarse[:, ~coarse_leaf]).all() and np.isnan(fine[:, ~fine_leaf]).all()
|
||||
assert np.isfinite(coarse[:, coarse_leaf]).all() and np.isfinite(fine[:, fine_leaf]).all()
|
||||
mass, low, high = leaf_summary(coarse, fine, coarse_leaf, fine_leaf)
|
||||
print(f"periodic patch API demo: synchronized coarse_steps={run.step_count}, fine_steps={2*run.step_count}")
|
||||
print(f"leaf mass: initial={initial_mass:.12g} final={mass:.12g} drift={mass-initial_mass:+.6e}")
|
||||
for name, lo, hi in zip(("rho", "ux", "uy"), low, high):
|
||||
print(f"leaf {name}: [{lo:.9g}, {hi:.9g}]")
|
||||
print("covered coarse / fine halo: NaN; functional demonstration only")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,126 +0,0 @@
|
||||
"""Three levels, separated regions and an explicit fluid-region remap.
|
||||
|
||||
Run on an approved idle GPU (logical device 0):
|
||||
PYTHONPATH=src CUDA_VISIBLE_DEVICES=0 python examples/multigrid_remap.py --verify-jet
|
||||
Host-only geometry check, without CUDA:
|
||||
PYTHONPATH=src python examples/multigrid_remap.py --check-geometry
|
||||
|
||||
A short public-API smoke example, not an accuracy/stability benchmark. No files
|
||||
are written. Edit the rectangles below; this is manual remapping, not auto AMR.
|
||||
"""
|
||||
import argparse
|
||||
from contextlib import ExitStack
|
||||
|
||||
import numpy as np
|
||||
|
||||
from CelerisLab.body.geometry.circle import CircleGeometry
|
||||
from CelerisLab.body.jets import Jet, Parallel, Tube
|
||||
from CelerisLab.body.objects import SimObject
|
||||
from CelerisLab.config import LBMConfig
|
||||
from CelerisLab.lbm.equilibrium import compute_feq_d2q9
|
||||
from CelerisLab.lbm.refinement import FixedPatchSet2D
|
||||
from CelerisLab.lbm.synchronized_remap import RemapTopology
|
||||
|
||||
CFG = LBMConfig(nx=48, ny=32, viscosity=.1) # D2Q9/SRT/FP32, periodic
|
||||
PARENTS = ((4, 4, 20, 28), (24, 4, 44, 28)) # L0 cell-edge rectangles
|
||||
PIN = (16, 16, 32, 24) # L1 allocated-grid indices; whole body region stays fixed
|
||||
BEFORE = (PIN, (56, 32, 72, 40))
|
||||
AFTER = (PIN, (60, 32, 76, 40)) # move only the separated fluid rectangle
|
||||
LIVE_AMPLITUDE = -.004
|
||||
|
||||
|
||||
def geometry():
|
||||
# Retain these original L0 edge-frame definitions for every remap; never
|
||||
# substitute the stepper's projected fine-local boundary objects.
|
||||
objects = (SimObject(0, geometry=CircleGeometry(12., 10., .8),
|
||||
center=(12., 10.), radius=.8),)
|
||||
jets = (Jet(Tube((10.5, 10.), 0., 3., .3), Parallel(0.), amplitude=.002),)
|
||||
parent = FixedPatchSet2D.from_config(CFG, PARENTS)
|
||||
meshes = tuple(RemapTopology.from_config(
|
||||
CFG, parent, rectangles, child_objects=objects, child_jets=jets)
|
||||
for rectangles in (BEFORE, AFTER))
|
||||
if any(mesh.pinned_rectangles != (PIN,) for mesh in meshes):
|
||||
raise RuntimeError("the body-containing rectangle must remain pinned")
|
||||
return objects, jets, meshes
|
||||
|
||||
|
||||
def diagnostics(run, mesh):
|
||||
"""Masks come from geometry, never from whether downloaded values are finite."""
|
||||
mass = 0.
|
||||
for level, (g, leaf) in enumerate(zip(run.download(), mesh.leaf_masks)):
|
||||
fluid = g[:, leaf].astype(np.float64)
|
||||
rho = fluid.sum(axis=0)
|
||||
if not np.isfinite(fluid).all() or np.any(rho <= 0):
|
||||
raise RuntimeError(f"invalid L{level} fluid populations/density")
|
||||
if not np.isnan(g[:, ~leaf]).all():
|
||||
raise RuntimeError(f"unexpected L{level} nonleaf values")
|
||||
mass += rho.sum() / 4**level # area weights: 1, 1/4, 1/16
|
||||
print(f"absolute base step {run.step_count}: finite fluid leaves, mass={mass:.9f}")
|
||||
# Driven boundary injects/extracts mass; mass need not stay constant in time.
|
||||
|
||||
|
||||
def verify_live_jet(current, objects):
|
||||
"""Optional public-API check; normal continuation needs no control solver."""
|
||||
# Identity remap copies the same state. Explicitly setting the known live
|
||||
# amplitude on the control detects a stale amplitude on the continuation.
|
||||
# No private fields or constructor-time Jet snapshots inspect the solver.
|
||||
with current.remap_child(AFTER, child_objects=objects) as control:
|
||||
control.set_jet_amplitude(0, LIVE_AMPLITUDE, level=2)
|
||||
current.step()
|
||||
control.step()
|
||||
for actual, expected in zip(current.download(), control.download()):
|
||||
if not np.array_equal(actual, expected, equal_nan=True):
|
||||
raise RuntimeError("live Jet continuation differs from explicitly set control")
|
||||
print("live Jet amplitude preserved: next step equals explicitly set control")
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
|
||||
parser.add_argument("--check-geometry", action="store_true")
|
||||
parser.add_argument("--verify-jet", action="store_true",
|
||||
help="compare one step with an explicitly driven control")
|
||||
args = parser.parse_args()
|
||||
objects, jets, (old_mesh, new_mesh) = geometry()
|
||||
if args.check_geometry:
|
||||
print("geometry OK: three levels, two L1 regions, fixed body pin, moved fluid region")
|
||||
return
|
||||
|
||||
# Lazy imports keep --check-geometry useful on a CPU-only machine.
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
|
||||
|
||||
# ExitStack owns every old/new stepper, including on failure. All are closed
|
||||
# before the shared context. remap_child never consumes/closes its source.
|
||||
with CudaContext(0) as context, ExitStack() as owned:
|
||||
old = owned.enter_context(FixedPatchStepper(
|
||||
CFG, PARENTS, context=context, base_block=(4, 4), fine_block=(4, 4),
|
||||
child_block=(4, 4), child_rectangles_in_parent=BEFORE,
|
||||
child_objects=objects, child_jets=jets))
|
||||
rest = np.asarray(compute_feq_d2q9(1., 0., 0.), np.float32)[:, None, None]
|
||||
old.initialize(*(np.broadcast_to(rest, (9, *mask.shape))
|
||||
for mask in old_mesh.leaf_masks))
|
||||
old.step(2) # one base step advances L1 twice and L2 four times
|
||||
old.set_jet_amplitude(0, LIVE_AMPLITUDE, level=2)
|
||||
diagnostics(old, old_mesh)
|
||||
count = old.step_count
|
||||
current = owned.enter_context(old.remap_child(AFTER, child_objects=objects))
|
||||
if current is old or current.step_count != count:
|
||||
raise RuntimeError("remap must return a distinct continuation at the same time")
|
||||
diagnostics(current, new_mesh)
|
||||
|
||||
if args.verify_jet:
|
||||
verify_live_jet(current, objects) # optional control; advances one step
|
||||
else:
|
||||
current.step()
|
||||
if old.step_count != count or current.step_count != count + 1:
|
||||
raise RuntimeError("old/new absolute step ownership changed")
|
||||
old.close() # retire the old state only after successful replacement
|
||||
current.step(2)
|
||||
if current.step_count != count + 3:
|
||||
raise RuntimeError("continuation lost its absolute step count")
|
||||
diagnostics(current, new_mesh)
|
||||
print("smoke example only: no accuracy or long-time stability claim")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
+3
-1
@@ -7,7 +7,7 @@ name = "CelerisLab"
|
||||
version = "0.5.1"
|
||||
description = "GPU-accelerated Lattice Boltzmann Method (LBM) CFD solver using CUDA"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
requires-python = ">=3.8"
|
||||
license = {text = "MIT"}
|
||||
authors = [
|
||||
{name = "Frank14f"}
|
||||
@@ -19,6 +19,8 @@ classifiers = [
|
||||
"Topic :: Scientific/Engineering :: Physics",
|
||||
"License :: OSI Approved :: MIT License",
|
||||
"Programming Language :: Python :: 3",
|
||||
"Programming Language :: Python :: 3.8",
|
||||
"Programming Language :: Python :: 3.9",
|
||||
"Programming Language :: Python :: 3.10",
|
||||
"Programming Language :: Python :: 3.11",
|
||||
]
|
||||
|
||||
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||||
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||||
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|
||||
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|
||||
"examples/fixed_periodic_patch.py": "6732e440a47c237ea341703f2d80717903d34c68fd061bdc97189e5d877be46c",
|
||||
"examples/fixed_patch_jet.py": "9d58ac3f32478603e8e798efcdaf6ea16e9cc92346eb4780a60e438d331abced"
|
||||
}
|
||||
}
|
||||
@@ -1 +0,0 @@
|
||||
PYTHONPATH=/home/frank14f/CelerisLab/src CUDA_VISIBLE_DEVICES='' /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/validation/multigrid/test_fine_surface_gpu.py::test_missing_surface_device_buffer_rejects_before_launch -q
|
||||
@@ -1 +0,0 @@
|
||||
0
|
||||
@@ -1,2 +0,0 @@
|
||||
.. [100%]
|
||||
2 passed in 0.09s
|
||||
@@ -1,30 +0,0 @@
|
||||
[
|
||||
{
|
||||
"name": "cpu_maps",
|
||||
"command": [
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-m",
|
||||
"pytest",
|
||||
"-q",
|
||||
"-p",
|
||||
"no:cacheprovider",
|
||||
"tests/unit/test_refinement.py"
|
||||
],
|
||||
"exit_code": 0,
|
||||
"seconds": 1.8799934879643843
|
||||
},
|
||||
{
|
||||
"name": "cpu_shared_kernel",
|
||||
"command": [
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-m",
|
||||
"pytest",
|
||||
"-q",
|
||||
"-p",
|
||||
"no:cacheprovider",
|
||||
"tests/unit/test_numerical_operators.py::test_actual_semantic_and_auxiliary_kernels[0-0-0]"
|
||||
],
|
||||
"exit_code": 0,
|
||||
"seconds": 2.1572919980389997
|
||||
}
|
||||
]
|
||||
@@ -1,14 +0,0 @@
|
||||
{
|
||||
"command": [
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-m",
|
||||
"pytest",
|
||||
"-q",
|
||||
"-p",
|
||||
"no:cacheprovider",
|
||||
"tests/unit/test_fine_surface.py"
|
||||
],
|
||||
"exit_code": 0,
|
||||
"seconds": 1.947228622972034,
|
||||
"note": "Final CPU recheck after preflight aperture inputs were aligned with packed FP32 lever arms. No kernel/math or uploaded-array changes."
|
||||
}
|
||||
@@ -1,2 +0,0 @@
|
||||
............... [100%]
|
||||
15 passed in 0.59s
|
||||
@@ -1,14 +0,0 @@
|
||||
{
|
||||
"command": [
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-m",
|
||||
"pytest",
|
||||
"-q",
|
||||
"-p",
|
||||
"no:cacheprovider",
|
||||
"tests/validation/multigrid/test_refinement_followup.py::FaultGuardsCPU",
|
||||
"tests/validation/multigrid/test_refinement_gpu.py::CoupledGPU::test_cleanup_attempts_every_allocation"
|
||||
],
|
||||
"exit_code": 0,
|
||||
"seconds": 1.620646678027697
|
||||
}
|
||||
@@ -1,2 +0,0 @@
|
||||
..... [100%]
|
||||
5 passed, 5 subtests passed in 0.25s
|
||||
@@ -1,2 +0,0 @@
|
||||
......... [100%]
|
||||
9 passed, 23 subtests passed in 0.12s
|
||||
@@ -1,14 +0,0 @@
|
||||
{
|
||||
"command": [
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-m",
|
||||
"pytest",
|
||||
"-q",
|
||||
"-p",
|
||||
"no:cacheprovider",
|
||||
"tests/validation/multigrid/test_fine_surface_gpu.py::test_cross_interface_donor_rejects_before_cuda"
|
||||
],
|
||||
"exit_code": 0,
|
||||
"seconds": 1.665132363094017,
|
||||
"CUDA_VISIBLE_DEVICES": ""
|
||||
}
|
||||
@@ -1,2 +0,0 @@
|
||||
. [100%]
|
||||
1 passed in 0.09s
|
||||
@@ -1,2 +0,0 @@
|
||||
. [100%]
|
||||
1 passed in 0.63s
|
||||
@@ -1 +0,0 @@
|
||||
PYTHONPATH=src /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_fine_surface.py -q
|
||||
@@ -1 +0,0 @@
|
||||
0
|
||||
@@ -1 +0,0 @@
|
||||
PYTHONPATH=src /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_fine_surface.py -q -k 'projection_uses_cell_center or transfer_dependencies'
|
||||
@@ -1 +0,0 @@
|
||||
0
|
||||
@@ -1,2 +0,0 @@
|
||||
... [100%]
|
||||
3 passed, 12 deselected in 0.40s
|
||||
@@ -1,2 +0,0 @@
|
||||
............... [100%]
|
||||
15 passed in 0.59s
|
||||
@@ -1,290 +0,0 @@
|
||||
"""CPU preparation for one fixed D2Q9 2:1 patch and optional interior circles.
|
||||
|
||||
Cell indices use y*nx+x; population slots use q*(nx*ny)+cell, matching
|
||||
core/layout.cuh. Bounds are half-open (x0, y0, x1, y1) in coarse cells.
|
||||
The four fine halo cells implement the pinned CPUREF volumetric geometry.
|
||||
Base topology is independent of boundaries; prepare_fine_boundary checks them.
|
||||
"""
|
||||
from dataclasses import dataclass, replace
|
||||
from numbers import Integral
|
||||
|
||||
import numpy as np
|
||||
|
||||
from ..config import LBMConfig
|
||||
from .descriptors import D2Q9_EX, D2Q9_EY, FLUID, SOLID
|
||||
|
||||
ACTIVE, INNER_GHOST, OUTER_GHOST = 0, 1, 2
|
||||
HALO = 4
|
||||
|
||||
|
||||
def _readonly(values, dtype):
|
||||
array = np.ascontiguousarray(values, dtype=dtype)
|
||||
array.setflags(write=False)
|
||||
return array
|
||||
|
||||
|
||||
@dataclass(frozen=True, eq=False)
|
||||
class FixedPatch2D:
|
||||
"""Layer metadata and compact exchange tables, constructed by from_config.
|
||||
|
||||
Shapes are (ny, nx), including the fine halo. ``fine_origin`` is its lower
|
||||
cell edge in coarse physical units, with coarse dx=dt=1 and fine dx=dt=.5.
|
||||
``ghost_fine`` and ``ghost_coarse`` pair fine cells with coarse donors.
|
||||
``coalesce_coarse`` contains incoming population slots; each corresponding
|
||||
row of ``coalesce_fine`` contains four fine slots in (dy, dx) row order.
|
||||
Weights are all 1/4. Closed corner links are included even when the coarse
|
||||
donor is uncovered. These tables contain no DDF data and allocate no GPU.
|
||||
|
||||
This is preparation, not permission to advance these levels with OneStep:
|
||||
its channel boundaries and fused collision do not implement patch coupling.
|
||||
"""
|
||||
coarse_shape: tuple[int, int]
|
||||
bounds: tuple[int, int, int, int]
|
||||
tau_coarse: float
|
||||
tau_fine: float
|
||||
fine_kind: np.ndarray
|
||||
ghost_fine: np.ndarray
|
||||
ghost_coarse: np.ndarray
|
||||
coalesce_coarse: np.ndarray
|
||||
coalesce_fine: np.ndarray
|
||||
|
||||
@classmethod
|
||||
def from_config(cls, cfg: LBMConfig, bounds) -> "FixedPatch2D":
|
||||
"""Prepare maps without changing cfg or allocating coarse-sized tables.
|
||||
|
||||
The initial backend contract is D2Q9/SRT/FP32/unshifted/double_buffer,
|
||||
without LES. Two coarse cells of margin keep all halo donors in bounds;
|
||||
this does NOT certify that those donors are fluid or periodic.
|
||||
"""
|
||||
checked = replace(cfg)
|
||||
checked.validate()
|
||||
if (not checked.is_d2q9 or checked.collision != "SRT"
|
||||
or checked.streaming != "double_buffer"
|
||||
or checked.store_precision != "FP32"
|
||||
or checked.ddf_shifting or checked.les_enabled):
|
||||
raise ValueError("FixedPatch2D requires D2Q9/SRT/FP32/unshifted/double_buffer without LES")
|
||||
bounds = tuple(bounds)
|
||||
if len(bounds) != 4 or any(isinstance(v, (bool, np.bool_))
|
||||
or not isinstance(v, Integral) for v in bounds):
|
||||
raise ValueError("bounds must be four integers: (x0, y0, x1, y1)")
|
||||
x0, y0, x1, y1 = bounds = tuple(map(int, bounds))
|
||||
nx, ny = checked.nx, checked.ny
|
||||
if not (2 <= x0 < x1 <= nx - 2 and 2 <= y0 < y1 <= ny - 2):
|
||||
raise ValueError("patch must be nonempty with a two-coarse-cell margin")
|
||||
fx, fy = 2 * (x1 - x0) + 2 * HALO, 2 * (y1 - y0) + 2 * HALO
|
||||
if max(nx * ny, fx * fy) > np.iinfo(np.uint32).max:
|
||||
raise ValueError("layer cell counts exceed uint32 indexing")
|
||||
tau_c = 3.0 * checked.viscosity + 0.5
|
||||
tau_f = 6.0 * checked.viscosity + 0.5
|
||||
if not checked.omega_min <= 1.0 / tau_f <= checked.omega_max:
|
||||
raise ValueError("fine relaxation rate lies outside configured omega guards")
|
||||
|
||||
kind = np.full((fy, fx), OUTER_GHOST, dtype=np.uint8)
|
||||
kind[2:-2, 2:-2] = INNER_GHOST
|
||||
kind[HALO:-HALO, HALO:-HALO] = ACTIVE
|
||||
gy, gx = np.nonzero(kind != ACTIVE)
|
||||
ghost_fine = gy * fx + gx
|
||||
ghost_coarse = (y0 + (gy - HALO) // 2) * nx + x0 + (gx - HALO) // 2
|
||||
|
||||
targets, sources = [], []
|
||||
# Only the outside ring can receive fine-to-coarse populations.
|
||||
# Integer doubled midpoints include all eight diagonal corner passes.
|
||||
for y in range(y0 - 1, y1 + 1):
|
||||
xs = range(x0 - 1, x1 + 1) if y in (y0 - 1, y1) else (x0 - 1, x1)
|
||||
for x in xs:
|
||||
for q in range(1, 9):
|
||||
mx, my = 2 * x + 1 - D2Q9_EX[q], 2 * y + 1 - D2Q9_EY[q]
|
||||
if 2 * x0 <= mx <= 2 * x1 and 2 * y0 <= my <= 2 * y1:
|
||||
targets.append(q * nx * ny + y * nx + x)
|
||||
a, b = HALO + 2 * (x - x0), HALO + 2 * (y - y0)
|
||||
sources.append([q * fx * fy + (b + dy) * fx + a + dx
|
||||
for dy in (0, 1) for dx in (0, 1)])
|
||||
return cls((ny, nx), bounds, tau_c, tau_f,
|
||||
_readonly(kind, np.uint8),
|
||||
_readonly(ghost_fine, np.uint32),
|
||||
_readonly(ghost_coarse, np.uint32),
|
||||
_readonly(targets, np.uint64),
|
||||
_readonly(sources, np.uint64).reshape(-1, 4))
|
||||
|
||||
@property
|
||||
def fine_shape(self) -> tuple[int, int]:
|
||||
return self.fine_kind.shape
|
||||
|
||||
@property
|
||||
def fine_origin(self) -> tuple[float, float]:
|
||||
return self.bounds[0] - HALO / 2, self.bounds[1] - HALO / 2
|
||||
|
||||
@property
|
||||
def table_bytes(self) -> int:
|
||||
return sum(a.nbytes for a in (self.fine_kind, self.ghost_fine,
|
||||
self.ghost_coarse, self.coalesce_coarse,
|
||||
self.coalesce_fine))
|
||||
|
||||
def check_synchronization(self, coarse_steps: int, fine_steps: int, *, phase: str) -> None:
|
||||
"""Check a proposed backend handoff; does not convert or collide data.
|
||||
|
||||
Production storage is g=C(f), while CPUREF returns arrival_f. A future
|
||||
g-to-g coarse step must collide coarse cells once and fine cells twice;
|
||||
fine halo ghosts never collide. Coalescence must precede coarse collision.
|
||||
Converting reference f to g for comparison is an observation operation,
|
||||
not an additional production collision. Counts here are completed steps.
|
||||
"""
|
||||
if phase != "postcollision_g":
|
||||
raise ValueError("patch backend handoff requires postcollision_g")
|
||||
for value in (coarse_steps, fine_steps):
|
||||
if isinstance(value, (bool, np.bool_)) or not isinstance(value, Integral) or value < 0:
|
||||
raise ValueError("step counts must be nonnegative integers")
|
||||
if fine_steps != 2 * coarse_steps:
|
||||
raise ValueError("levels are not synchronized: fine_steps must equal 2*coarse_steps")
|
||||
|
||||
|
||||
@dataclass(frozen=True, eq=False)
|
||||
class FineBoundary2D:
|
||||
"""Fixed local projection plus auditable, finite transfer dependency sets.
|
||||
|
||||
transfer_reads rows are (hop, direction, cell), traced from coalescence at
|
||||
hop 2 back to exploded G at hop 0. No previous coarse interval is traversed.
|
||||
Cell footprints also include the whole explosion write/donor tables.
|
||||
"""
|
||||
objects: tuple
|
||||
flags: np.ndarray
|
||||
curved_host: tuple
|
||||
boundary_cells: np.ndarray
|
||||
transfer_fine_cells: np.ndarray
|
||||
transfer_coarse_cells: np.ndarray
|
||||
transfer_reads: np.ndarray
|
||||
|
||||
|
||||
def _transfer_footprint(patch):
|
||||
ny, nx = patch.fine_shape
|
||||
cells = nx * ny
|
||||
pending = [(2, *divmod(int(slot), cells)) for slot in patch.coalesce_fine.ravel()]
|
||||
reads = set()
|
||||
while pending:
|
||||
hop, q, k = pending.pop()
|
||||
if (hop, q, k) in reads:
|
||||
continue
|
||||
reads.add((hop, q, k))
|
||||
if hop == 0:
|
||||
continue
|
||||
y, x = divmod(k, nx)
|
||||
kind = patch.fine_kind[y, x]
|
||||
if kind == OUTER_GHOST:
|
||||
raise ValueError("Transfer reads an invalid post-hop outer ghost")
|
||||
# A collided output depends on all nine arrivals; ghosts only stream.
|
||||
for direction in (range(9) if kind == ACTIVE else (q,)):
|
||||
sx, sy = x - D2Q9_EX[direction], y - D2Q9_EY[direction]
|
||||
if not (0 <= sx < nx and 0 <= sy < ny):
|
||||
raise ValueError("Transfer dependency leaves the fine allocation")
|
||||
pending.append((hop - 1, direction, sy * nx + sx))
|
||||
fine = set(map(int, patch.ghost_fine)) | {k for _, _, k in reads}
|
||||
coarse = set(map(int, patch.ghost_coarse)) | set(map(
|
||||
int, patch.coalesce_coarse % np.prod(patch.coarse_shape)))
|
||||
return fine, coarse, _readonly(sorted(reads), np.int64)
|
||||
|
||||
|
||||
def prepare_fine_boundary(cfg, patch, objects, *, wall_aware=False):
|
||||
"""Project fixed circles and reject boundary/transfer overlap before CUDA.
|
||||
|
||||
Input centers/radii are in coarse physical coordinates (dx=dt=1).
|
||||
SurfaceActuation retains its lattice-velocity meaning: input coarse units
|
||||
are converted into independent fine-local objects with dx=dt=.5.
|
||||
Original objects are not retained or mutated. No runtime geometry updates.
|
||||
"""
|
||||
if not objects:
|
||||
return None
|
||||
checked = replace(cfg)
|
||||
checked.validate()
|
||||
if (patch.coarse_shape != (cfg.ny, cfg.nx) or not checked.is_d2q9
|
||||
or checked.collision != "SRT" or checked.streaming != "double_buffer"
|
||||
or checked.store_precision != "FP32" or checked.ddf_shifting or checked.les_enabled
|
||||
or patch.tau_coarse != 3*checked.viscosity+.5):
|
||||
raise ValueError("Fine boundary requires the matching fixed-patch configuration")
|
||||
from ..body.geometry.circle import CircleGeometry
|
||||
from ..body.objects import SimObject
|
||||
from ..body.coupling.soa_packer import pack_cut_links_to_soa
|
||||
|
||||
ny, nx = patch.fine_shape
|
||||
fine_cfg = replace(cfg, nx=nx, ny=ny, viscosity=2 * cfg.viscosity)
|
||||
flags = np.full(nx * ny, FLUID, np.uint16)
|
||||
active = patch.fine_kind.ravel() == ACTIVE
|
||||
local, links = [], []
|
||||
x0, y0, x1, y1 = patch.bounds
|
||||
dx = dt = .5
|
||||
for bid, obj in enumerate(objects):
|
||||
if (type(obj.geometry) is not CircleGeometry or obj.is_sensor or obj.is_force_region
|
||||
or any(getattr(obj.state, name) != 0 for name in ("vx", "vy", "omega"))
|
||||
or any(vars(obj.control).values())):
|
||||
raise ValueError("Fine boundaries require stationary circles without other roles")
|
||||
cx, cy = obj.geometry.center
|
||||
radius = obj.geometry._radius
|
||||
if (not np.isfinite([cx, cy, radius]).all() or radius <= 0
|
||||
or cx-radius < x0 or cx+radius > x1 or cy-radius < y0 or cy+radius > y1):
|
||||
raise ValueError("Entire fine circle must lie inside the physical patch")
|
||||
center = tuple((v-o)/dx-.5 for v, o in zip((cx, cy), patch.fine_origin))
|
||||
spec = obj.surface_actuation
|
||||
if spec is not None:
|
||||
spec = replace(spec, normal_velocity=spec.normal_velocity * dt / dx)
|
||||
item = SimObject(bid, geometry=CircleGeometry(*center, radius/dx),
|
||||
center=center, radius=radius/dx, surface_actuation=spec)
|
||||
item.validate_surface_actuation(fine_cfg)
|
||||
mask = item.get_flag_mask(nx, ny)
|
||||
solid = (mask & SOLID) != 0
|
||||
if not solid.any() or np.any(solid & ~active) or np.any(flags[solid] & SOLID):
|
||||
raise ValueError("Fine solids must be resolved, disjoint and entirely active")
|
||||
flags[solid] = mask[solid]
|
||||
local.append(item)
|
||||
for item in local:
|
||||
cut = item.geometry.build_cut_links(nx, ny, domain_flags=flags)
|
||||
if not cut:
|
||||
raise ValueError("Fine circle has no resolved cut links")
|
||||
if item.surface_actuation is not None:
|
||||
_, aperture = item.surface_actuation.project(
|
||||
np.array([link.rx for link in cut]), np.array([link.ry for link in cut]))
|
||||
if not aperture.any():
|
||||
raise ValueError("Surface aperture hits no resolved cut links")
|
||||
for link in cut:
|
||||
link.body_id = item.obj_id
|
||||
links.extend(cut)
|
||||
|
||||
boundary, writers, receivers = set(), set(), set()
|
||||
for link in links:
|
||||
r, q = link.fluid_idx, link.dir
|
||||
y, x = divmod(r, nx)
|
||||
sx, sy = x + D2Q9_EX[q], y + D2Q9_EY[q]
|
||||
s = sy * nx + sx
|
||||
if not (active[r] and flags[r] & FLUID and active[s] and flags[s] & SOLID):
|
||||
raise ValueError("Cut-link receiver/source must be active fluid/solid")
|
||||
writer = (s, q+1 if q % 2 else q-1)
|
||||
if writer in writers:
|
||||
raise ValueError("Duplicate fine boundary writer")
|
||||
writers.add(writer)
|
||||
receivers.add((r, q))
|
||||
boundary.update((r, s))
|
||||
if link.q < .5:
|
||||
dx_, dy_ = x - D2Q9_EX[q], y - D2Q9_EY[q]
|
||||
if not (0 <= dx_ < nx and 0 <= dy_ < ny and active[dy_*nx+dx_]):
|
||||
raise ValueError("q<.5 donor crosses the fine active interface; fallback cannot hide it")
|
||||
boundary.add(dy_*nx+dx_)
|
||||
# Reverse coverage: every fluid pull across a solid neighbor needs a writer.
|
||||
required = set()
|
||||
for r in np.flatnonzero(active & ((flags & FLUID) != 0)):
|
||||
for q in range(1, 9):
|
||||
if flags[r + D2Q9_EX[q] + nx*D2Q9_EY[q]] & SOLID:
|
||||
required.add((int(r), q))
|
||||
if required != receivers:
|
||||
raise ValueError("Fine solid pull coverage does not match the cut links")
|
||||
fine, coarse, reads = _transfer_footprint(patch)
|
||||
if fine & (boundary | set(map(int, np.flatnonzero(flags & SOLID)))):
|
||||
raise ValueError("Boundary stencil overlaps the two-hop transfer footprint")
|
||||
for k in coarse:
|
||||
y, x = divmod(k, cfg.nx)
|
||||
if x0 <= x < x1 and y0 <= y < y1:
|
||||
raise ValueError("Transfer coarse donor/target is not an uncovered bulk cell")
|
||||
if wall_aware and (y <= 2 or y >= cfg.ny-3):
|
||||
raise ValueError("Transfer footprint touches the coarse wall reconstruction stencil")
|
||||
return FineBoundary2D(tuple(local), _readonly(flags, np.uint16),
|
||||
tuple(_readonly(a, a.dtype) for a in pack_cut_links_to_soa(links)),
|
||||
_readonly(sorted(boundary), np.uint32),
|
||||
_readonly(sorted(fine), np.uint32),
|
||||
_readonly(sorted(coarse), np.uint32), reads)
|
||||
@@ -1,48 +0,0 @@
|
||||
{
|
||||
"start_utc": "2026-10-14T05:08:55.958692+00:00",
|
||||
"preflight_gpu": "0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5, 16140, 0\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5, 16140, 0\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5, 16140, 0\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5, 16140, 0",
|
||||
"preflight_apps": "",
|
||||
"preflight_ram_bytes": 64091750400,
|
||||
"physical_gpu_uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
|
||||
"command": [
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-c",
|
||||
"import CelerisLab,pytest; print('SOURCE', CelerisLab.__file__, flush=True); assert CelerisLab.__file__.startswith('/home/frank14f/CelerisLab/src/'); raise SystemExit(pytest.main(['-q', '-s', '-p', 'no:cacheprovider', 'tests/validation/multigrid/test_fine_surface_gpu.py', 'tests/validation/multigrid/test_refinement_followup.py::NormalBuildGPU::test_offcenter_rectangle_margin_two_one_step', 'tests/validation/multigrid/test_refinement_followup.py::NormalBuildGPU::test_slot_reservoir_eight_steps']))"
|
||||
],
|
||||
"cwd": "/home/frank14f/CelerisLab",
|
||||
"env": {
|
||||
"PYTHONPATH": "/home/frank14f/CelerisLab/src",
|
||||
"PYTHONNOUSERSITE": "1",
|
||||
"PYTHONDONTWRITEBYTECODE": "1",
|
||||
"OPENBLAS_NUM_THREADS": "1",
|
||||
"CUDA_VISIBLE_DEVICES": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
|
||||
"CUDA_CACHE_DISABLE": "1",
|
||||
"TMPDIR": "/tmp/celeris-fine-surface-gpu-e9g3hz7z"
|
||||
},
|
||||
"preflight_temp_bytes": 1637890,
|
||||
"limits": {
|
||||
"wall_seconds": 120,
|
||||
"temp_bytes": 2000000000,
|
||||
"ram_reserve_bytes": 6409175040,
|
||||
"vram_reserve_MiB": 1614
|
||||
},
|
||||
"note": "Sampled own process group; no fixed RSS/address-space cap.",
|
||||
"exit_code": 1,
|
||||
"elapsed_seconds": 25.39498820400331,
|
||||
"peak_group_rss_bytes": 386883584,
|
||||
"peak_temp_bytes": 3585985,
|
||||
"min_ram_bytes": 63638339584,
|
||||
"min_vram_free_MiB": 15826,
|
||||
"termination_reason": null,
|
||||
"scratch_removed": true,
|
||||
"source_hashes_captured_during_run": {
|
||||
"src/CelerisLab/lbm/kernels/refinement.cu": "129f3d91da93b4324f88a0da73a4da1e5390f72c14cce574ee63306712da9895",
|
||||
"src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "578a5b20a157241ee678547059abb1372dd5a589ad06bb2c15b987eb01ca1013",
|
||||
"src/CelerisLab/lbm/kernels/step/curved_double.cu": "bfa7a1df1e939020314d49755045f7a85fe4a19cc1c68dbe62653c66c5e7c2b3",
|
||||
"src/CelerisLab/lbm/refinement.py": "b3fe9e58118369adb1bdfc618fbfbd917d508a563beaf2555f656b59aeff4425",
|
||||
"src/CelerisLab/lbm/refinement_stepper.py": "9178224089ee6584420b79f10cf1d91441645b668e8b6898641d19eac757687b",
|
||||
"src/CelerisLab/lbm/stepper.py": "0dcb7cd7ae87e33e3dc67a38b6aa43042fbe673e37d9ad165342ee1d695933ce",
|
||||
"tests/unit/test_fine_surface.py": "b232b55e75eef52480f06a35c401d72b6145892bb8b79d1d1b3cfed965b3506c",
|
||||
"tests/validation/multigrid/test_fine_surface_gpu.py": "3dd0658f63a4e7a1c41eecf433842c872f8fecb391ea4b44d0b48947643d5189"
|
||||
}
|
||||
}
|
||||
@@ -1,79 +0,0 @@
|
||||
SOURCE /home/frank14f/CelerisLab/src/CelerisLab/__init__.py
|
||||
speed=0.0 audit=True BFL=7.4505806e-09 ledger=[1.604948192834854e-05, -5.038455128669739e-07, -6.919726729393005e-07] budget=0.00221051117 boundary=[4.0978193283081055e-08, 0.0, 0.0] transfer=[0.0, 0.0, 0.0] drive_mass=+4.09781933e-08; counts=PASS
|
||||
speed=None audit=False BFL=7.4505806e-09 ledger=[1.604948192834854e-05, -5.038455128669739e-07, -6.919726729393005e-07] budget=0.00221051117 boundary=[4.0978193283081055e-08, 0.0, 0.0] transfer=[0.0, 0.0, 0.0] drive_mass=+4.09781933e-08; counts=normal build
|
||||
.speed=0.002 audit=True BFL=9.73073444e-09 ledger=[1.597730442881584e-05, -5.154870450496674e-07, -7.622875273227692e-07] budget=0.00221052543 boundary=[0.0071802823804318905, 0.003110995050519705, 0.0026390845887362957] transfer=[0.0, 0.0, 0.0] drive_mass=+0.00620033871; counts=PASS
|
||||
.speed=-0.002 audit=True BFL=7.4505806e-09 ledger=[1.66366808116436e-05, -5.881302058696747e-07, -7.147900760173798e-07] budget=0.00221049693 boundary=[-0.007164992857724428, -0.0030983122996985912, -0.00262861093506217] transfer=[0.0, 0.0, 0.0] drive_mass=-0.00618575338; counts=PASS
|
||||
.FF.normal rectangle 17x13 bounds=(2, 2, 6, 5) fine=16x14 steps=1: max_population=1.14050047e-07 device_arrays=35288; halo/stride PASS
|
||||
host_peak_rss=279.887 MiB
|
||||
.slot/reservoir steps=8 max_population=1.78241457e-07 max_BC_error=2.21654773e-07 discrete_leaf_mass_change=+0.0309633738 final_sum_rho_v_bottom=0.00426894613 top=0.000960694626; raw halos/corners/fine BC isolation PASS
|
||||
host_peak_rss=279.887 MiB
|
||||
.
|
||||
=================================== FAILURES ===================================
|
||||
_ test_missing_surface_device_buffer_rejects_before_launch[surface_velocity_gpu] _
|
||||
|
||||
missing = 'surface_velocity_gpu'
|
||||
|
||||
@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
|
||||
def test_missing_surface_device_buffer_rejects_before_launch(missing):
|
||||
backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
|
||||
backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
|
||||
backend._fine_curved = SimpleNamespace(surface_velocity_gpu=object(), link_exchange_gpu=object())
|
||||
setattr(backend._fine_curved, missing, None)
|
||||
backend._curved = Mock()
|
||||
with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
|
||||
> backend._apply_fine_boundary(object())
|
||||
|
||||
tests/validation/multigrid/test_fine_surface_gpu.py:289:
|
||||
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
|
||||
|
||||
self = <CelerisLab.lbm.refinement_stepper.FixedPatchStepper object at 0x761fb9325480>
|
||||
buffer = <object object at 0x761fb937c570>, kw = {}
|
||||
cl = namespace(surface_velocity_gpu=None, link_exchange_gpu=<object object at 0x761fb937c630>)
|
||||
|
||||
def _apply_fine_boundary(self, buffer, **kw):
|
||||
"""Stage solid source slots; exchange buffer holds this fine substep only."""
|
||||
cl = self._fine_curved
|
||||
if cl is None:
|
||||
if self.fine_boundary is not None:
|
||||
raise RuntimeError("Fine boundary device buffers are missing")
|
||||
return
|
||||
> if self._curved is None or cl.fluid_idx_gpu is None:
|
||||
E AttributeError: 'types.SimpleNamespace' object has no attribute 'fluid_idx_gpu'
|
||||
|
||||
src/CelerisLab/lbm/refinement_stepper.py:195: AttributeError
|
||||
_ test_missing_surface_device_buffer_rejects_before_launch[link_exchange_gpu] __
|
||||
|
||||
missing = 'link_exchange_gpu'
|
||||
|
||||
@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
|
||||
def test_missing_surface_device_buffer_rejects_before_launch(missing):
|
||||
backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
|
||||
backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
|
||||
backend._fine_curved = SimpleNamespace(surface_velocity_gpu=object(), link_exchange_gpu=object())
|
||||
setattr(backend._fine_curved, missing, None)
|
||||
backend._curved = Mock()
|
||||
with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
|
||||
> backend._apply_fine_boundary(object())
|
||||
|
||||
tests/validation/multigrid/test_fine_surface_gpu.py:289:
|
||||
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
|
||||
|
||||
self = <CelerisLab.lbm.refinement_stepper.FixedPatchStepper object at 0x761fb92299c0>
|
||||
buffer = <object object at 0x761fb937f700>, kw = {}
|
||||
cl = namespace(surface_velocity_gpu=<object object at 0x761fb937f710>, link_exchange_gpu=None)
|
||||
|
||||
def _apply_fine_boundary(self, buffer, **kw):
|
||||
"""Stage solid source slots; exchange buffer holds this fine substep only."""
|
||||
cl = self._fine_curved
|
||||
if cl is None:
|
||||
if self.fine_boundary is not None:
|
||||
raise RuntimeError("Fine boundary device buffers are missing")
|
||||
return
|
||||
> if self._curved is None or cl.fluid_idx_gpu is None:
|
||||
E AttributeError: 'types.SimpleNamespace' object has no attribute 'fluid_idx_gpu'
|
||||
|
||||
src/CelerisLab/lbm/refinement_stepper.py:195: AttributeError
|
||||
=========================== short test summary info ============================
|
||||
FAILED tests/validation/multigrid/test_fine_surface_gpu.py::test_missing_surface_device_buffer_rejects_before_launch[surface_velocity_gpu]
|
||||
FAILED tests/validation/multigrid/test_fine_surface_gpu.py::test_missing_surface_device_buffer_rejects_before_launch[link_exchange_gpu]
|
||||
2 failed, 6 passed in 23.73s
|
||||
@@ -1,316 +0,0 @@
|
||||
"""Two coarse/four fine steps: isolated fine circle, no flux-accuracy claim.
|
||||
|
||||
Run only through the bounded GPU runner after a fresh resource check. The test
|
||||
hooks read actual kernel inputs/outputs; they never change the stepping order.
|
||||
"""
|
||||
import importlib.util
|
||||
from contextlib import nullcontext
|
||||
from pathlib import Path
|
||||
from threading import RLock
|
||||
from types import SimpleNamespace
|
||||
from unittest.mock import Mock, patch
|
||||
|
||||
import numpy as np
|
||||
import pycuda.driver as cuda
|
||||
import pytest
|
||||
|
||||
import CelerisLab
|
||||
from CelerisLab.body.geometry.circle import CircleGeometry
|
||||
from CelerisLab.body.objects import SimObject
|
||||
from CelerisLab.config import LBMConfig
|
||||
from CelerisLab.cuda import compiler_v2 as compiler
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm import refinement_stepper as implementation
|
||||
from CelerisLab.lbm.descriptors import FLUID, SOLID
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[3]
|
||||
CX = np.array([0, 1, -1, 0, 0, 1, -1, 1, -1])
|
||||
CY = np.array([0, 0, 0, 1, -1, 1, -1, -1, 1])
|
||||
OPP = np.array([0, 2, 1, 4, 3, 6, 5, 8, 7])
|
||||
W = np.array([4/9]+[1/9]*4+[1/36]*4)
|
||||
MOMENTS = np.stack((np.ones(9), CX, CY))
|
||||
GEOMETRY = ("fluid_idx", "dir", "q", "body_id", "rx", "ry", "rz", "fallback_class")
|
||||
BOUNDS = (4, 4, 20, 20)
|
||||
|
||||
|
||||
def read(pointer, shape, dtype=np.float32):
|
||||
values = np.empty(shape, dtype)
|
||||
cuda.memcpy_dtoh(values, pointer)
|
||||
return values
|
||||
|
||||
|
||||
def rest(shape):
|
||||
return np.broadcast_to(W[:, None, None], (9, *shape)).astype(np.float32).copy()
|
||||
|
||||
|
||||
def surface(speed):
|
||||
return None if speed is None else dict(angle=.7, half_width=.85, normal_velocity=speed)
|
||||
|
||||
|
||||
def object_spec(speed):
|
||||
return SimObject(0, CircleGeometry(12.25, 12.25, 2.15), center=(12.25, 12.25),
|
||||
radius=2.15, surface_actuation=surface(speed))
|
||||
|
||||
|
||||
def audit_compiler(original):
|
||||
def compile_private(*args, **kwargs):
|
||||
entry = Path(kwargs["build_dir"])/"fine_surface_audit.cu"
|
||||
entry.write_text('#define CELERIS_REFINEMENT_AUDIT\n#include "refinement.cu"\n')
|
||||
kwargs["source"] = entry.name
|
||||
return original(*args, **kwargs)
|
||||
return compile_private
|
||||
|
||||
|
||||
def reflection_oracle(before, cl, speed, *, verify_projection=True):
|
||||
"""FP64 BFL from frozen spatial populations, independent arc projection."""
|
||||
flat = before.astype(float).reshape(9, -1)
|
||||
radius = np.hypot(cl.rx.astype(float), cl.ry.astype(float))
|
||||
delta = (np.arctan2(cl.ry.astype(float), cl.rx.astype(float))-.7+np.pi) % (2*np.pi)-np.pi
|
||||
amplitude = 0 if speed is None else speed
|
||||
strength = amplitude*np.maximum(0, 1-(delta/.85)**2)**2
|
||||
velocity = strength[:, None]*np.column_stack((cl.rx, cl.ry))/radius[:, None]
|
||||
if verify_projection and cl.surface_velocity is not None:
|
||||
np.testing.assert_allclose(cl.surface_velocity, velocity, atol=3e-9, rtol=0)
|
||||
incoming = []
|
||||
for i, (k, d, q, fallback) in enumerate(zip(cl.fluid_idx, cl.dir, cl.q, cl.fallback_class)):
|
||||
k, d, q = int(k), int(d), float(q)
|
||||
rho = flat[:, k].sum()
|
||||
dot = CX[d]*velocity[i, 0]+CY[d]*velocity[i, 1]
|
||||
if fallback:
|
||||
value = flat[d, k]-6*W[d]*rho*dot
|
||||
elif q < .5:
|
||||
value = 2*q*flat[d, k]+(1-2*q)*flat[d, k-CX[d]-40*CY[d]]-6*W[d]*rho*dot
|
||||
else:
|
||||
value = flat[d, k]/(2*q)+(1-1/(2*q))*flat[OPP[d], k]-3*W[d]*rho*dot/q
|
||||
incoming.append(value)
|
||||
return np.array(incoming)
|
||||
|
||||
|
||||
def fine_flux(before, staged, active, solid):
|
||||
"""Population ledger across the fine leaf boundary: solid versus halo.
|
||||
|
||||
Internal fluid-to-fluid streaming cancels pairwise; solid and halo packets
|
||||
are counted in their actual direction, before any collision.
|
||||
"""
|
||||
boundary, transfer = np.zeros(9), np.zeros(9)
|
||||
magnitude = 0.0
|
||||
for d, (cx, cy) in enumerate(zip(CX, CY)):
|
||||
incoming = active & ~np.roll(active, (cy, cx), (0, 1))
|
||||
outgoing = active & ~np.roll(active, (-cy, -cx), (0, 1))
|
||||
from_solid = np.roll(solid, (cy, cx), (0, 1))
|
||||
into_solid = np.roll(solid, (-cy, -cx), (0, 1))
|
||||
received = np.roll(staged[d], (cy, cx), (0, 1)).astype(float)
|
||||
sent = before[d].astype(float)
|
||||
for vector, inc, out in ((boundary, incoming & from_solid, outgoing & into_solid),
|
||||
(transfer, incoming & ~from_solid, outgoing & ~into_solid)):
|
||||
assert np.isfinite(received[inc]).all() and np.isfinite(sent[out]).all()
|
||||
vector[d] = received[inc].sum()-sent[out].sum()
|
||||
magnitude += np.abs(received[inc]).sum()+np.abs(sent[out]).sum()
|
||||
return boundary, transfer, magnitude
|
||||
|
||||
|
||||
def coarse_flux(before, fine, active):
|
||||
"""Derive every replacement from physical midpoints, not production tables."""
|
||||
x0, y0, x1, y1 = BOUNDS
|
||||
incoming = np.stack([np.roll(before[d], (CY[d], CX[d]), (0, 1)) for d in range(9)]).astype(float)
|
||||
magnitude = 0.0
|
||||
for y, x in np.argwhere(active):
|
||||
for d in range(1, 9):
|
||||
if x0 <= x+.5-CX[d]/2 <= x1 and y0 <= y+.5-CY[d]/2 <= y1:
|
||||
a, b = 4+2*(x-x0), 4+2*(y-y0)
|
||||
children = fine[d, b:b+2, a:a+2].astype(float)
|
||||
assert children.shape == (2, 2) and np.isfinite(children).all()
|
||||
incoming[d, y, x] = children.sum()/4
|
||||
magnitude += np.abs(children).sum()/4
|
||||
assert np.isfinite(incoming[:, active]).all()
|
||||
# This retains the eight grazing-corner replacements of uncovered donors.
|
||||
flux = (incoming[:, active]-before[:, active].astype(float)).sum(axis=1)
|
||||
magnitude += np.abs(incoming[:, active]).sum()+np.abs(before[:, active]).sum(dtype=float)
|
||||
return flux, magnitude
|
||||
|
||||
|
||||
def run_patch(speed, *, audit=True):
|
||||
cfg = LBMConfig(nx=24, ny=24, viscosity=.05, velocity=0, rho=1)
|
||||
coarse_active = np.ones((24, 24), bool)
|
||||
coarse_active[4:20, 4:20] = False
|
||||
source = object_spec(speed)
|
||||
state = vars(source.state).copy()
|
||||
with CudaContext(0) as context:
|
||||
build = (patch.object(compiler, "compile_kernel", audit_compiler(compiler.compile_kernel))
|
||||
if audit else nullcontext())
|
||||
with build:
|
||||
backend = implementation.FixedPatchStepper(cfg, BOUNDS, context=context, fine_objects=[source])
|
||||
with backend, context.activate():
|
||||
c, f = backend._levels
|
||||
cl = backend._fine_curved
|
||||
geometry = {name: getattr(cl, name).copy() for name in GEOMETRY}
|
||||
flags = backend.fine_boundary.flags.reshape(40, 40)
|
||||
solid = (flags & SOLID) != 0
|
||||
active = np.zeros((40, 40), bool)
|
||||
active[4:-4, 4:-4] = True
|
||||
active &= (flags & FLUID) != 0
|
||||
active &= ~solid
|
||||
local = backend.fine_boundary.objects[0]
|
||||
assert local.center == (20., 20.) and local.radius == 4.3
|
||||
assert source.center == (12.25, 12.25) and source.radius == 2.15
|
||||
yy, xx = np.mgrid[:40, :40]
|
||||
roi = active & ((xx-20)**2+(yy-20)**2 <= 9**2)
|
||||
backend.initialize(rest((24, 24)), rest((40, 40)))
|
||||
if audit:
|
||||
for level in backend._levels:
|
||||
for name in ("collision_counts", "explosion_counts", "incoming_counts"):
|
||||
pointer, size = level.module.get_global(name)
|
||||
cuda.memset_d8(pointer, 0, size)
|
||||
initial = backend.download()
|
||||
initial_pop = initial[0][:, coarse_active].sum(axis=1, dtype=float)
|
||||
initial_pop += .25*initial[1][:, active].sum(axis=1, dtype=float)
|
||||
boundary, fine_transfer, coarse_transfer = np.zeros(9), np.zeros(9), np.zeros(9)
|
||||
budget_sum, reflection_error, drive_mass = 0., 0., 0.
|
||||
traces = []
|
||||
original_curved, original_fine, original_coarse = backend._curved, f.kernel, c.kernel
|
||||
|
||||
def curved(*args, **kwargs):
|
||||
nonlocal boundary, fine_transfer, budget_sum, reflection_error, drive_mass
|
||||
backend._stream.synchronize()
|
||||
before = read(args[0], f.shape)
|
||||
expected = reflection_oracle(before, cl, speed)
|
||||
original_curved(*args, **kwargs)
|
||||
backend._stream.synchronize()
|
||||
staged = read(args[0], f.shape)
|
||||
d, k = cl.dir.astype(int), cl.fluid_idx.astype(int)
|
||||
values = staged.reshape(9, -1)[OPP[d], k+CX[d]+40*CY[d]]
|
||||
passive = reflection_oracle(before, cl, None, verify_projection=False)
|
||||
drive_mass += .25*float(np.sum(values-passive))
|
||||
error = float(np.max(np.abs(values-expected)))
|
||||
reflection_error = max(reflection_error, error)
|
||||
assert error <= 1e-7
|
||||
np.testing.assert_array_equal(staged[:, active], before[:, active])
|
||||
b, transfer, magnitude = fine_flux(before, staged, active, solid)
|
||||
boundary += .25*b
|
||||
fine_transfer += .25*transfer
|
||||
budget_sum += .25*magnitude
|
||||
|
||||
def fine(*args, **kwargs):
|
||||
nonlocal budget_sum
|
||||
backend._stream.synchronize()
|
||||
staged = read(args[0], f.shape)
|
||||
original_fine(*args, **kwargs)
|
||||
backend._stream.synchronize()
|
||||
advanced = read(args[1], f.shape)
|
||||
assert np.isfinite(advanced[:, active]).all()
|
||||
assert np.isnan(advanced[:, solid]).all()
|
||||
# Include actual collision operands in the FP32 rounding budget.
|
||||
budget_sum += .25*np.abs(staged[:, active]).sum(dtype=float)
|
||||
traces.append(advanced[:, roi].copy())
|
||||
|
||||
def coarse(*args, **kwargs):
|
||||
nonlocal coarse_transfer, budget_sum
|
||||
backend._stream.synchronize()
|
||||
before, fine_values = read(args[0], c.shape), read(args[2], f.shape)
|
||||
transfer, magnitude = coarse_flux(before, fine_values, coarse_active)
|
||||
coarse_transfer += transfer
|
||||
budget_sum += magnitude
|
||||
return original_coarse(*args, **kwargs)
|
||||
|
||||
with patch.object(backend, "_curved", curved), patch.object(f, "kernel", fine), \
|
||||
patch.object(c, "kernel", coarse):
|
||||
backend.step(2)
|
||||
actual = backend.download()
|
||||
population = actual[0][:, coarse_active].sum(axis=1, dtype=float)
|
||||
population += .25*actual[1][:, active].sum(axis=1, dtype=float)
|
||||
ledger = boundary+fine_transfer+coarse_transfer
|
||||
error = MOMENTS@(population-initial_pop-ledger)
|
||||
budget = 8*np.finfo(np.float32).eps*budget_sum
|
||||
assert np.isfinite(budget_sum) and budget_sum > 0
|
||||
assert np.max(np.abs(error)) <= budget
|
||||
if speed:
|
||||
assert speed*drive_mass > 0
|
||||
assert len(traces) == 4 and backend.step_count == 2
|
||||
if audit:
|
||||
for level, mask, count in ((c, coarse_active, 2), (f, active, 4)):
|
||||
pointer, size = level.module.get_global("collision_counts")
|
||||
counts = read(pointer, mask.shape, np.uint32)
|
||||
assert size == counts.nbytes
|
||||
np.testing.assert_array_equal(counts, count*mask)
|
||||
for name, values in geometry.items():
|
||||
np.testing.assert_array_equal(getattr(cl, name), values)
|
||||
assert vars(source.state) == state and source.geometry.center == source.center
|
||||
print(f"speed={speed} audit={audit} BFL={reflection_error:.9g} ledger={error.tolist()} "
|
||||
f"budget={budget:.9g} boundary={list(MOMENTS@boundary)} "
|
||||
f"transfer={list(MOMENTS@(fine_transfer+coarse_transfer))} "
|
||||
f"drive_mass={drive_mass:+.9g}; counts={'PASS' if audit else 'normal build'}", flush=True)
|
||||
return traces, roi, actual
|
||||
|
||||
|
||||
def uniform_reference(speed, roi):
|
||||
# Reuse the existing explicit config helper without importing unrelated tests.
|
||||
spec = importlib.util.spec_from_file_location("fine_surface_cases", ROOT/"tests/integration/_cases.py")
|
||||
cases = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(cases)
|
||||
with cases.make_sim(nx=48, ny=48, viscosity=.1, velocity=0, rho=1) as sim:
|
||||
sim.add_body("circle", center=(24, 24), radius=4.3, surface_actuation=surface(speed))
|
||||
sim.initialize()
|
||||
# Uniform 48^2 has the same dx=dt=.5 representation. Its distant channel
|
||||
# boundaries cannot influence the circle ROI within these four hops.
|
||||
traces = []
|
||||
for _ in range(4):
|
||||
sim.run(1)
|
||||
traces.append(sim.get_ddf().reshape(9, 48, 48)[:, 4:44, 4:44][:, roi].copy())
|
||||
return traces
|
||||
|
||||
|
||||
@pytest.mark.parametrize("speed", [0., .002, -.002])
|
||||
def test_fine_surface_four_hops(speed):
|
||||
assert Path(CelerisLab.__file__).resolve() == ROOT/"src/CelerisLab/__init__.py"
|
||||
assert Path(compiler._KERNEL_DIR).resolve() == ROOT/"src/CelerisLab/lbm/kernels"
|
||||
assert Path(implementation.__file__).resolve() == ROOT/"src/CelerisLab/lbm/refinement_stepper.py"
|
||||
actual, roi, final = run_patch(speed)
|
||||
reference = uniform_reference(speed, roi)
|
||||
for got, wanted in zip(actual, reference):
|
||||
np.testing.assert_allclose(got, wanted, atol=3e-6, rtol=0)
|
||||
np.testing.assert_allclose(MOMENTS@got.astype(float), MOMENTS@wanted.astype(float),
|
||||
atol=2e-5, rtol=0)
|
||||
if speed == 0:
|
||||
passive, passive_roi, passive_final = run_patch(None, audit=False)
|
||||
np.testing.assert_array_equal(passive_roi, roi)
|
||||
for got, wanted in zip(actual+list(final), passive+list(passive_final)):
|
||||
np.testing.assert_array_equal(got, wanted)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
|
||||
def test_missing_surface_device_buffer_rejects_before_launch(missing):
|
||||
backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
|
||||
backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
|
||||
backend._fine_curved = SimpleNamespace(surface_velocity_gpu=object(), link_exchange_gpu=object())
|
||||
setattr(backend._fine_curved, missing, None)
|
||||
backend._curved = Mock()
|
||||
with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
|
||||
backend._apply_fine_boundary(object())
|
||||
backend._curved.assert_not_called()
|
||||
|
||||
|
||||
def test_close_frees_fine_boundary_after_stream_failure_once():
|
||||
backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
|
||||
backend.ctx = SimpleNamespace(activate=nullcontext)
|
||||
backend._lock = RLock()
|
||||
backend._status = "ready"
|
||||
stream, soa, first, second = Mock(), Mock(), Mock(), Mock()
|
||||
stream.synchronize.side_effect = RuntimeError("stream synchronization failed")
|
||||
backend._stream = stream
|
||||
backend._fine_curved = soa
|
||||
backend._fine_flags = first
|
||||
backend._curved = Mock()
|
||||
backend._levels = [object(), object()]
|
||||
backend._allocations = [first, second]
|
||||
with pytest.raises(RuntimeError, match="stream synchronization failed"):
|
||||
backend.close()
|
||||
assert backend._status == "closed"
|
||||
assert backend._levels == [] and backend._allocations == []
|
||||
assert backend._fine_curved is None and backend._fine_flags is None
|
||||
assert backend._curved is None and backend._stream is None
|
||||
backend.close()
|
||||
stream.synchronize.assert_called_once_with()
|
||||
soa.free.assert_called_once_with()
|
||||
first.free.assert_called_once_with()
|
||||
second.free.assert_called_once_with()
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,102 +0,0 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
"unchanged_baseline_files": 377,
|
||||
"baseline_file_count": 382,
|
||||
"post_status": " M pyproject.toml\n M setup.py\n M src/CelerisLab/__init__.py\n M src/CelerisLab/body/__init__.py\n M src/CelerisLab/body/ddf_patch.py\n M src/CelerisLab/body/manager.py\n M src/CelerisLab/body/objects.py\n M src/CelerisLab/body/preprocess/flag_overlay.py\n M src/CelerisLab/common/__init__.py\n M src/CelerisLab/common/checkpoint.py\n M src/CelerisLab/config.py\n M src/CelerisLab/configs/CONFIG.md\n M src/CelerisLab/cuda/__init__.py\n M src/CelerisLab/cuda/compiler_v2.py\n M src/CelerisLab/cuda/context.py\n M src/CelerisLab/lbm/__init__.py\n M src/CelerisLab/lbm/curved_links.py\n M src/CelerisLab/lbm/field.py\n M src/CelerisLab/lbm/initializers.py\n M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh\n M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh\n M src/CelerisLab/lbm/kernels/config/config_grid.h\n M src/CelerisLab/lbm/kernels/config/config_method.h\n M src/CelerisLab/lbm/kernels/config/config_objects.h\n M src/CelerisLab/lbm/kernels/config/config_physics.h\n M src/CelerisLab/lbm/kernels/kernel_v2.cu\n M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh\n M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh\n M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh\n M src/CelerisLab/lbm/kernels/step/aux_kernels.cu\n M src/CelerisLab/lbm/kernels/step/esopull_sync.cu\n M src/CelerisLab/lbm/kernels/step/init_flow.cu\n M src/CelerisLab/lbm/kernels/step/one_step_double.cu\n M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu\n M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh\n M src/CelerisLab/lbm/stepper.py\n M src/CelerisLab/simulation.py\n M tests/integration/test_body_sync_e2e.py\n M tests/integration/test_ddf_patch.py\n M tests/integration/test_sync_bodies_skeleton.py\n M tests/integration/test_unified_obs.py\n M tests/postproc/experiment.ipynb\n M tests/validation/run_kan99b_rotating_cylinder.py\n M tests/validation/run_sah04_st_matrix.py\n M tests/validation/test_sensor_accuracy.py\n?? docs/design/\n?? docs/multilevel_grid_architecture_analysis.md\n?? examples/\n?? research/\n?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh\n?? src/CelerisLab/lbm/kernels/refinement.cu\n?? src/CelerisLab/lbm/kernels/step/curved_double.cu\n?? src/CelerisLab/lbm/refinement.py\n?? src/CelerisLab/lbm/refinement_stepper.py\n?? \"tests/audit/body\\345\\210\\240\\345\\207\\217\\345\\212\\237\\350\\203\\275.md\"\n?? tests/integration/_cases.py\n?? tests/integration/test_numerical_gpu.py\n?? tests/integration/test_runtime_contracts_gpu.py\n?? tests/integration/test_state_gpu.py\n?? tests/integration/test_surface_actuation_gpu.py\n?? tests/unit/cpp/\n?? tests/unit/test_build_contracts.py\n?? tests/unit/test_context_ownership.py\n?? tests/unit/test_fine_surface.py\n?? tests/unit/test_initializers.py\n?? tests/unit/test_numerical_operators.py\n?? tests/unit/test_planar_velocity.py\n?? tests/unit/test_refinement.py\n?? tests/unit/test_reservoir.py\n?? tests/unit/test_simulation_lifecycle.py\n?? tests/unit/test_slot_velocity.py\n?? tests/unit/test_state_regressions.py\n?? tests/unit/test_surface_actuation.py\n?? tests/validation/analyze_j3_saved_frames.py\n?? tests/validation/diagnose_j3_lags.py\n?? tests/validation/multigrid/\n?? tests/validation/run_j1.py\n?? tests/validation/run_j2_slot.py\n?? tests/validation/run_j3_coverage.py\n?? tests/validation/run_j3_reservoir.py\n?? tests/validation/run_poiseuille.py\n",
|
||||
"patch_sha256": "9cf8b5cc4ea037c865762ba7069f0c1daabcb4383d4333167d279f8b7704e5b0",
|
||||
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|
||||
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|
||||
"baseline_copy_bytes": 1581541,
|
||||
"runner": "/tmp/celeris-fine-surface-gpu-run.py",
|
||||
"baseline_copies_removed": true,
|
||||
"runner_removed": true,
|
||||
"gpu_scratch_removed": true
|
||||
},
|
||||
"shared_kernel_exact_extraction": true,
|
||||
"diff_reverse_check": "passed",
|
||||
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|
||||
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|
||||
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|
||||
"report.txt": "ad8af2be7239f8fe728ac7a8db340d4458e6ec1bbb30b14e614c1072dd9804ec",
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"gpu_test_run1.py": "3dd0658f63a4e7a1c41eecf433842c872f8fecb391ea4b44d0b48947643d5189",
|
||||
"gpu_preparation_run1.py": "b3fe9e58118369adb1bdfc618fbfbd917d508a563beaf2555f656b59aeff4425",
|
||||
"cpu_surface_exit.txt": "9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa",
|
||||
"cpu_surface_stdout.txt": "bdb786f2d289eaeab4e53d0fdccb998525c217efaa778496cf7a97ccca9e1597",
|
||||
"cpu_preallocation_run.json": "363106050ba00d9a1c5c948c36926e8510ed7fdd75d28cfeca59f593fd0f1c50",
|
||||
"cpu_final_stdout.txt": "bdb786f2d289eaeab4e53d0fdccb998525c217efaa778496cf7a97ccca9e1597",
|
||||
"cpu_maps_stdout.txt": "7886fd4e2fa8a63e9cecf02bdf650e5447ba149704ac75f51da6964d8e77ba6b",
|
||||
"cpu_device_guard_exit.txt": "9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa",
|
||||
"cpu_preallocation_stdout.txt": "59907462a8d5fd93406cdf4c7d1eb2f7b7a96664ae85c4ec202693d419cd019e",
|
||||
"incremental.diff": "9cf8b5cc4ea037c865762ba7069f0c1daabcb4383d4333167d279f8b7704e5b0",
|
||||
"cpu_final_run.json": "020a9ef12904c2d18185613d68a58dd7ff9b1b22197ac1f95bba61f2f593eaac"
|
||||
}
|
||||
}
|
||||
@@ -1,115 +0,0 @@
|
||||
2026-10-14 — 固定加密区内静止圆表面吹吸：受限整合交付
|
||||
|
||||
状态：当前代码与验证完成，停在独立审查点。A 的单层静止圆功能保持；本次只
|
||||
把完整边界 stencil 位于 fine active 的圆接入 FixedPatchStepper。未增加
|
||||
checkpoint、forcing、运动刚体、喷嘴内部、墙穿接口、blockforest 或临时 ledger。
|
||||
所有 B 反例与既有证据保留。
|
||||
|
||||
入口与单位
|
||||
FixedPatchStepper(cfg, bounds, context=context, fine_objects=[obj])。
|
||||
obj 是现有 SimObject/CircleGeometry；中心/半径用 coarse 物理坐标，速度沿用
|
||||
coarse lattice 单位（当前 dx=dt=1）。构造独立 fine-local 副本，不修改调用方对象。
|
||||
C_local=(C_phys-origin)/dx-.5，R_local=R_phys/dx，U_local=U_phys*dt/dx。
|
||||
真实 hit 反变换为 origin+dx*(hit_local+.5)，lever arm 乘 dx，角度/q 不变。
|
||||
维持 D2Q9/SRT/FP32/unshifted/double_buffer、无 LES/forcing 的原 backend 范围。
|
||||
|
||||
生产改动：5 个现有文件 + 1 个共享文件，+300/−71，净 +229 行。
|
||||
- refinement.py：FineBoundary2D、prepare_fine_boundary；纯 CPU 建图和拒绝检查。
|
||||
- refinement_stepper.py：固定 fine 对象、flags/SoA 管理、两个 BFL 子步、solid
|
||||
叶掩码、初始化与释放；不接完整 Simulation/ObjectManager。
|
||||
- aux_kernels.cu → step/curved_double.cu：原 action_omega/CurvedBoundaryKernel
|
||||
代码块逐字相同，只抽取共享位置并增加 include guard，已比对确认。
|
||||
- refinement.cu：包含共享 BFL，PatchFineStep 接 flags；solid 不 pull/collide，
|
||||
输出 NaN；所有 Python launch 传完整参数。
|
||||
- 原 lbm/stepper.py：allocation 显式 is not None；驱动缓冲缺失报错。
|
||||
|
||||
数据/所有权
|
||||
explosion → BFL(current) → fine pull+collision → BFL(spare) → fine pull+collision
|
||||
→ coarse pull/coalescence+collision。active fluid 每 coarse 步碰撞两次；solid
|
||||
与 ghost 不碰撞。BFL 只填当前输入的 solid source 反射槽，下一子步重新填充。
|
||||
下载仅发布流体叶节点，coarse covered、fine solid/ghost 均 NaN。
|
||||
flags/level/transfer arrays 归 stepper._allocations；SoA 的列及速度/交换缓冲只
|
||||
归 SoA，未重复登记。initialize 清空最新交换缓存。无对象不创建这些新缓冲。
|
||||
内部交换缓冲仅代表最后一个 fine 子步，未新增公共 coarse 累计诊断。
|
||||
测试账本分别读取四个 fine 子步的实际 population，按面积 1/4 求和；不是用
|
||||
latest 值冒称区间总量，也不是喷嘴总推力。
|
||||
|
||||
有限依赖规则
|
||||
plan.transfer_reads 保存 (hop, direction, cell)，从实际 coalesce_fine 的 hop 2
|
||||
源槽反向两次 pull；遇 active collision 展开全部 9 个输入，hop 0 停止。
|
||||
transfer_fine_cells 加入全部 ghost_fine/explosion 写集；coarse 集合包含实际
|
||||
ghost_coarse donors 与 coalesce_coarse targets。ghost 可以合法参与运输；
|
||||
outer ghost 的各阶段有效性仍按原 kernel 判断。
|
||||
逐条检查 r active fluid、s=r+c active solid、反射写槽唯一、q<.5 的 r−c
|
||||
仍在 active；不可用 fallback 掩盖跨层 donor。同层真实 solid 阻挡的原 fallback
|
||||
语义不改。逆查所有 active-fluid→solid 邻接，确保与 cut links 完全一致。
|
||||
整个 solid 集合及 r/s/donor stencil 均不得碰到上述 transfer footprint。
|
||||
coarse donors/targets 必须 uncovered bulk；slot 模式另外拒绝其真实壁面
|
||||
reconstruction pull stencil。无对象旧 slot 模式保持原规则。
|
||||
|
||||
CPU 结果（原始 command/stdout/exit 见同目录）
|
||||
- 新建图/单位/边界覆盖/拒绝检查：15 passed，最终代码复测 15 passed，exit 0。
|
||||
同行补充的非对角圆心、origin=(2,2)、四子格平均等于 coarse I+.5 也通过。
|
||||
- 旧 maps：9 passed、23 subtests；共享 actual CUDA-header CPU 回归：1 passed。
|
||||
- 旧生命周期/边界模式：5 passed、5 subtests。
|
||||
- 新缺失驱动缓冲拒绝：2 passed，exit 0；同步失败后释放且不重复释放：通过。
|
||||
- 指定 donor 反例通过构造器检查，context.activate/mem_alloc 均未调用：1 passed。
|
||||
|
||||
真实 GPU 结果与首次批次失败说明
|
||||
使用现有 pycuda_3_10、显式 PYTHONPATH=/home/frank14f/CelerisLab/src；stdout
|
||||
首先打印并断言实际包来源。设备 0 UUID GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c，
|
||||
开始时占用 5 MiB、util=0、无计算进程；未用其他设备。
|
||||
运行批次真实 exit=1：5 项 GPU 检查和 1 项 CPU cleanup 检查通过，另 2 项 CPU
|
||||
缺失缓冲夹具失败，因为夹具未提供新增前置检查所需的 fluid_idx_gpu 字段。
|
||||
仅补齐夹具后，定向 CPU 重测这 2 项 exit=0；原日志/exit=1 保留，未重跑 GPU。
|
||||
|
||||
5 项 GPU 检查：
|
||||
1–3. speed=0,+.002,−.002 的批准小案例，各 2 coarse/4 fine 步。
|
||||
coarse24²，patch[4,20)²，fine40²，origin(2,2)，dx=dt=.5；物理圆心
|
||||
(12.25,12.25)、R2.15 → local(20,20)、R4.3；angle.7/half_width.85；
|
||||
nu_phys=.05，tau_c=.65/tau_f=.8，rho1/u0/G=feq。
|
||||
三个驱动使用私有 audit build 验证 fine fluid 碰撞4次、coarse fluid2次，
|
||||
solid/ghost0次。零驱动另与正常 production build 的 same-solid/no-actuation
|
||||
路径逐元素相等。参考采用正常 A build 的48²、dx=dt=.5、circle local(24,24)，
|
||||
对齐真实物理位置与时间（4 fine步=物理时间2），不是跨分辨率逐元素比较。
|
||||
4. 旧无对象 periodic 非居中矩形 normal build：1 coarse步，最大人口误差
|
||||
1.14050047e−7，通过。
|
||||
5. 旧无对象 slot/reservoir normal build：8 coarse步，最大人口误差
|
||||
1.78241457e−7、最大BC误差2.21654773e−7，通过。
|
||||
|
||||
主要数值：
|
||||
speed max |BFL误差| max |累计质量/动量账本残差| 预定FP32预算
|
||||
0 7.4505806e−9 1.6049482e−5 0.00221051117
|
||||
+.002 9.7307344e−9 1.5977304e−5 0.00221052543
|
||||
−.002 7.4505806e−9 1.6636681e−5 0.00221049693
|
||||
BFL阈值1e−7；同细分辨率、未触接口的圆周ROI人口atol3e−6、局部矩2e−5均通过。
|
||||
账本预算为8*eps32*实际参与加权population绝对值总和，未放宽。喷吸附加质量
|
||||
分别约+0.00620033871/−0.00618575338，符号正确。该短例净transfer项为0；
|
||||
仍逐项统计真实非零出入人口，但喷吸扰动尚未触达接口。
|
||||
|
||||
拒绝证据
|
||||
- physical C=(5.05,12.25),R=.7 → fine C=(5.6,20),R=1.4：r=(4,20),c=(1,0),
|
||||
hit=(4.2,20),q≈.2，donor=(3,20)为ghost，构造在任何CUDA调用前拒绝。
|
||||
- physical C=(6.05,12.25),R=.7：全部直接r/s/donor都active，仍因与真实
|
||||
两hop transfer footprint相交而拒绝。说明通过边界检查不能仅靠包围盒或边距。
|
||||
|
||||
资源与记录
|
||||
GPU批次外部耗时25.395s；进程组RSS峰值386883584 bytes，RAM最小空闲
|
||||
63638339584 bytes，VRAM最小空闲15826 MiB，相关临时空间采样峰值3585985 bytes。
|
||||
按实际余量保护，无固定RSS/AS上限；120s与2GB本次临时量约束未触发。监测是
|
||||
采样方式，不是OS硬资源隔离。编译临时目录已清理；不会清理其他任务或旧证据。
|
||||
baseline.json保存382个src/tests/examples文件哈希；其中377个保持不变。
|
||||
manifest.json和incremental.diff只描述本轮；共享kernel抽取相等与反向patch检查通过。
|
||||
GPU执行后仅将建图时的孔口预检输入改成与实际八列完全一致的FP32 lever arm，
|
||||
避免极窄孔口在分配前后得到不同覆盖判断；最终CPU15项复测通过。GPU算子、上传
|
||||
数组生成方式、步序和测试数值部分未变。gpu_test_run1.py/gpu_preparation_run1.py
|
||||
是按GPU运行中已记录的SHA256逐项核对后的执行版快照，保留首次运行的精确来源。
|
||||
|
||||
参考与边界
|
||||
直接复用A已接受BFL。ref/OpenLB/src/boundary/defineU2D.hh:74–79用于真实hit
|
||||
速度投影对照，offBoundaryPostProcessors2D.hh:115–127用于两分支stencil对照；
|
||||
OpenLB commit fb62326f260bf0c5ec2666fc5e055c0813ff50a9，仅算法对照、未复制代码。
|
||||
现有CPUREF-0.3与实际refinement kernel的ghost不碰撞、两hop/每层tau、incoming
|
||||
替换后coarse碰撞保持不变，未移植任何B候选。
|
||||
不声称喷流穿粗细接口精度、长时稳定性、空间收敛或性能已验证。设备free()自身
|
||||
抛错时沿用既有close限制，不保证完整释放或重试；上下文激活失败可保留资源重试。
|
||||
@@ -1,182 +0,0 @@
|
||||
{
|
||||
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||||
"src/CelerisLab.egg-info/top_level.txt": "cd51958ca03afabbaa9618c60b8280e486f8cc0b0359b839e10f886e7c3948f8",
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
9,2,9.0,1.0769307515201554e-08,0.0015491672233875443,-0.0003237603232264519,-0.00027247238904237747,-8.826204219714029e-07,0.0019684722647070885,0.0003237677738070488,0.0002724668011069298,-0.0003811251372098923,-0.00018009915947914124,-0.00012547895312309265
|
||||
10,1,9.5,6.5991891951000525e-09,0.001549105281009374,-0.00030333735048770905,-0.00025494955480098724,-1.3582019926516864e-06,0.0019654426723718643,0.0003033336251974106,0.000254947692155838,-0.0006271977908909321,-0.00022491207346320152,-0.00016344105824828148
|
||||
10,2,10.0,6.118484829897852e-09,0.001549051989981235,-0.0002833334729075432,-0.00023819785565137863,-9.026330124450865e-07,0.001966737676411867,0.0002833292819559574,0.0002382085658609867,-0.0008610719814896584,-0.0003546644002199173,-0.00026744231581687927
|
||||
11,1,10.5,6.552038911422642e-09,0.00154901751549866,-0.0002655861899256706,-0.0002231122925877571,-1.2630542108871268e-06,0.001964384224265814,0.00026558665558695793,0.00022311368957161903,-0.0011930274777114391,-0.00039019854739308357,-0.0003034067340195179
|
||||
11,2,11.0,9.802380018797408e-09,0.0015489874147144294,-0.00024848151952028275,-0.00020880158990621567,-9.786817930512726e-07,0.0019654412753880024,0.00024848291650414467,0.00020880764350295067,-0.001470054965466261,-0.0005364310927689075,-0.0004325839690864086
|
||||
12,1,11.5,1.0565094576975298e-08,0.0015489509835935602,-0.00023323949426412582,-0.0001959698274731636,-1.174757736199794e-06,0.0019635832868516445,0.00023323623463511467,0.000195962842553854,-0.0017936332151293755,-0.0005537522956728935,-0.0004546362906694412
|
||||
12,2,12.0,1.0153207108398732e-08,0.0015489143609847475,-0.00021865405142307281,-0.00018392689526081085,-9.567065110127615e-07,0.001964456867426634,0.00021865731105208397,0.0001839236356317997,-0.00204546470195055,-0.0006773108616471291,-0.0005757706239819527
|
||||
13,1,12.5,6.847925559938517e-09,0.0015489000506591615,-0.00020564347505569458,-0.00017303228378295898,-1.229019973680856e-06,0.0019629797898232937,0.0002056504599750042,0.00017301971092820168,-0.002280890941619873,-0.00067916139960289,-0.000582011416554451
|
||||
13,2,13.0,1.1770799335231175e-08,0.0015488750333560626,-0.0001933462917804718,-0.00016286037862300873,-9.379367493789204e-07,0.0019637630321085453,0.00019335513934493065,0.00016285711899399757,-0.002459546085447073,-0.0007534711621701717,-0.0006643435917794704
|
||||
14,1,13.5,8.936060558184522e-09,0.0015488612668431816,-0.00018239393830299377,-0.00015359185636043549,-1.2376870923702654e-06,0.001962530892342329,0.000182389747351408,0.00015358394011855125,-0.002583651803433895,-0.0007450981065630913,-0.0006575053557753563
|
||||
14,2,14.0,1.2725840020655355e-08,0.0015488343418273527,-0.0001720944419503212,-0.00014511216431856155,-8.9041709272486e-07,0.001963145099580288,0.00017209816724061966,0.00014511402696371078,-0.002680632285773754,-0.0007635904476046562,-0.0006860606372356415
|
||||
15,1,14.5,9.446215296082805e-09,0.0015488229734234565,-0.0001630391925573349,-0.00013743527233600616,-1.146773010329838e-06,0.001962078735232353,0.00016304105520248413,0.00013743527233600616,-0.0027179024182260036,-0.0007485975511372089,-0.000670840498059988
|
||||
15,2,15.0,9.313422921763959e-09,0.001548801691143042,-0.00015463586896657944,-0.00013038236647844315,-9.957984490327476e-07,0.0019625588320195675,0.0001546279527246952,0.0001303856261074543,-0.002754406537860632,-0.0007191230542957783,-0.000647230539470911
|
||||
16,1,15.5,7.756034481332108e-09,0.001548795055197433,-0.00014728587120771408,-0.00012414250522851944,-1.19767199602272e-06,0.001961618661880493,0.0001472746953368187,0.00012414157390594482,-0.0027457624673843384,-0.000701194629073143,-0.0006282757967710495
|
||||
16,2,16.0,4.9820187697502405e-09,0.0015487817877766277,-0.0001406259834766388,-0.00011855922639369965,-1.0063548837591085e-06,0.001962041947990656,0.0001406143419444561,0.00011856527999043465,-0.00275089917704463,-0.0006374767981469631,-0.0005653253756463528
|
||||
17,1,16.5,7.659630707479437e-09,0.0015487774975968425,-0.0001347297802567482,-0.00011365208774805069,-1.1021201878902431e-06,0.0019611907191574574,0.00013471907004714012,0.00011365814134478569,-0.0027269930578768253,-0.0006199139170348644,-0.0005475492216646671
|
||||
17,2,17.0,8.840773640939048e-09,0.001548763244042896,-0.00012935884296894073,-0.00010930560529232025,-1.016784981322516e-06,0.0019615269266068935,0.0001293686218559742,0.00010931165888905525,-0.002721673808991909,-0.0005361568182706833,-0.00046241283416748047
|
||||
18,1,17.5,1.2304882210378842e-08,0.0015487567261606326,-0.00012471340596675873,-0.000105343759059906,-1.0469923481526422e-06,0.001960811670869589,0.0001247120089828968,0.00010533956810832024,-0.0026941243559122086,-0.0005193613469600677,-0.00044766347855329514
|
||||
18,2,18.0,7.418095471223296e-09,0.0015487429170055658,-0.00012026354670524597,-0.00010176189243793488,-9.512738775585561e-07,0.001961167436093092,0.00012026121839880943,0.00010176049545407295,-0.0026859669014811516,-0.0004291580989956856,-0.00035731401294469833
|
||||
19,1,18.5,7.707569693593541e-09,0.0015487447557849957,-0.0001163184642791748,-9.842775762081146e-05,-1.1155910571991612e-06,0.001960610970854759,0.00011632218956947327,9.842775762081146e-05,-0.0026490092277526855,-0.00040957890450954437,-0.00034233927726745605
|
||||
19,2,19.0,9.897528907565345e-09,0.001548736220618044,-0.00011231936514377594,-9.525753557682037e-05,-8.746676823934152e-07,0.0019609862938523293,0.00011232960969209671,9.52649861574173e-05,-0.0026348931714892387,-0.0003248099237680435,-0.00026043038815259933
|
||||
20,1,19.5,7.458307527130614e-09,0.0015487257938516241,-0.00010872259736061096,-9.228847920894623e-05,-1.117876357703551e-06,0.001960530411452055,0.00010872026905417442,9.2280562967062e-05,-0.0025746123865246773,-0.000293082557618618,-0.0002375887706875801
|
||||
20,2,20.0,7.1616321761780455e-09,0.0015487109979796746,-0.00010512489825487137,-8.937250822782516e-05,-9.404776560861805e-07,0.0019608777947723866,0.00010512815788388252,8.937017992138863e-05,-0.002546322997659445,-0.00022387364879250526,-0.00017382996156811714
|
||||
21,1,20.5,1.2005225979994094e-08,0.0015487181439359362,-0.00010188575834035873,-8.659716695547104e-05,-1.0574914846017691e-06,0.0019605131819844246,0.00010188296437263489,8.659809827804565e-05,-0.002445746213197708,-0.00016940850764513016,-0.00013363640755414963
|
||||
21,2,21.0,7.5469843707765e-09,0.001548692199227755,-9.881984442472458e-05,-8.39056447148323e-05,-9.763081801894558e-07,0.0019607869908213615,9.881611913442612e-05,8.391123265028e-05,-0.0023945574648678303,-0.0001229965128004551,-9.305356070399284e-05
|
||||
22,1,21.5,6.037053218443944e-09,0.0015486938404374378,-9.613670408725739e-05,-8.161552250385284e-05,-1.0525385535364862e-06,0.00196036696434021,9.6137635409832e-05,8.160900324583054e-05,-0.002243565861135721,-3.6747660487890244e-05,-2.6164110749959946e-05
|
||||
22,2,22.0,9.586391680471706e-09,0.001548693360520578,-9.382795542478561e-05,-7.957685738801956e-05,-9.683724135900462e-07,0.001960549969226122,9.383400902152061e-05,7.956428453326225e-05,-0.0021634772419929504,-1.710653305053711e-05,-1.1105090379714966e-05
|
||||
23,1,22.5,9.489836569342991e-09,0.0015486823349255578,-9.185541421175003e-05,-7.787439972162247e-05,-1.0168454692704998e-06,0.0019601034000515938,9.18535515666008e-05,7.786881178617477e-05,-0.0019649858586490154,0.00010295165702700615,8.555082604289055e-05
|
||||
23,2,23.0,6.585969006267511e-09,0.0015486694330888832,-9.038113057613373e-05,-7.635168731212616e-05,-9.023735720870008e-07,0.0019602179527282715,9.038485586643219e-05,7.635634392499924e-05,-0.001856005284935236,9.549083188176155e-05,7.625715807080269e-05
|
||||
24,1,23.5,6.188236104098799e-09,0.0015486604639943502,-8.921325206756592e-05,-7.526762783527374e-05,-1.0200224049849993e-06,0.001959813293069601,8.920999243855476e-05,7.527368143200874e-05,-0.0016284165903925896,0.0002412758767604828,0.00019868742674589157
|
||||
24,2,24.0,9.620717680847157e-09,0.0015486650695279314,-8.823629468679428e-05,-7.427390664815903e-05,-9.335468453830487e-07,0.0019598701037466526,8.823955431580544e-05,7.426505908370018e-05,-0.0014977920800447464,0.0002111736685037613,0.00016872771084308624
|
||||
|
@@ -1,73 +0,0 @@
|
||||
step,level,substep,max_error,max_ratio,regime,drift_m,drift_px,drift_py,ideal_defect_m,ideal_defect_px,ideal_defect_py,measured_rounding_m,measured_rounding_px,measured_rounding_py
|
||||
1,fine,1,6.200234548003891e-08,0.28965071213188953,True,1.6061589121818542e-05,1.7695128917694092e-08,6.51925802230835e-09,-3.41740524767431e-16,1.214306433183765e-17,-8.673617379884035e-18,1.6061589122160283e-05,1.7695128905551027e-08,6.519258030981967e-09
|
||||
1,fine,2,9.592780092493314e-08,0.3574847775115332,True,-3.2549723982810974e-07,-1.3969838619232178e-09,-1.4435499906539917e-08,-5.4539706084710815e-15,1.3877787807814457e-17,3.469446951953614e-17,-3.2549723437413913e-07,-1.3969838758010056e-09,-1.4435499941234387e-08
|
||||
1,coarse,1,1.1080350609260492e-08,0.10456730670501622,True,-1.5292316675186157e-06,-1.30385160446167e-08,-1.5832483768463135e-07,-4.288236432614667e-15,-5.551115123125783e-17,1.3877787807814457e-17,-1.5292316632303793e-06,-1.3038515989105548e-08,-1.5832483769850914e-07
|
||||
2,fine,1,7.754918973645886e-08,0.34580397879479957,True,8.987262845039368e-07,-2.3283064365386963e-08,-1.9744038581848145e-07,-5.167741234934908e-15,-1.5612511283791264e-17,2.931682674400804e-16,8.98726289671678e-07,-2.328306434977445e-08,-1.974403861116497e-07
|
||||
2,fine,2,1.155261522001183e-07,0.321440603069343,True,2.284534275531769e-06,-2.8870999813079834e-08,8.66129994392395e-08,-1.1794384913166311e-14,-7.112366251504909e-17,2.203098814490545e-16,2.2845342873261537e-06,-2.887099974195617e-08,8.661299921892962e-08
|
||||
2,coarse,1,1.6365805183271576e-08,0.1544470929589978,True,-1.426786184310913e-06,-3.0919909477233887e-07,-3.0919909477233887e-07,-6.286637876939949e-15,-8.326672684688674e-17,-8.326672684688674e-17,-1.4267861780242752e-06,-3.0919909468907214e-07,-3.0919909468907214e-07
|
||||
3,fine,1,9.149310453704373e-08,0.3150717610922152,True,4.654750227928162e-06,1.0896474123001099e-07,6.146728992462158e-08,-1.1813466871402056e-14,1.1449174941446927e-16,2.1163626406917047e-16,4.6547502397416285e-06,1.0896474111551924e-07,6.146728971298532e-08
|
||||
3,fine,2,1.0172501863081607e-07,0.3828123813437159,True,7.561873644590378e-06,1.257285475730896e-08,5.168840289115906e-08,-1.7838161503469507e-14,8.673617379884035e-18,3.2786273695961654e-16,7.561873662428539e-06,1.2572854748635343e-08,5.168840256329632e-08
|
||||
3,coarse,1,1.0010523732173482e-07,0.2854567053212911,True,9.115785360336304e-06,3.3155083656311035e-07,3.203749656677246e-07,-3.837208328860697e-15,1.5334955527634975e-15,1.2420620087993939e-15,9.115785364173512e-06,3.315508350296148e-07,3.203749644256626e-07
|
||||
4,fine,1,1.1511500297434196e-07,0.3632811360585352,True,1.1234544217586517e-05,3.3155083656311035e-07,2.3469328880310059e-07,-2.0365653607967715e-14,2.5673907444456745e-16,2.393918396847994e-16,1.1234544237952171e-05,3.315508363063713e-07,2.3469328856370875e-07
|
||||
4,fine,2,1.323716875001324e-07,0.420721981505359,True,1.0875053703784943e-05,7.171183824539185e-08,5.4016709327697754e-08,-1.6948248360293405e-14,-6.83481049534862e-16,-4.0939474033052647e-16,1.0875053720733191e-05,7.17118389288729e-08,5.4016709737092494e-08
|
||||
4,coarse,1,1.2150177930436712e-07,0.37139422446265463,True,1.3064593076705933e-05,5.997717380523682e-07,5.62518835067749e-07,-1.2559397966072083e-14,-5.967448757360216e-16,-2.498001805406602e-16,1.306459308926533e-05,5.99771738649113e-07,5.625188353175492e-07
|
||||
5,fine,1,1.2583242237074188e-07,0.3554646638422362,True,9.815674275159836e-06,-2.789311110973358e-07,-3.608874976634979e-07,-1.565240992373873e-14,-1.9949319973733282e-16,-3.642919299551295e-17,9.815674290812246e-06,-2.789311108978426e-07,-3.6088749762706873e-07
|
||||
5,fine,2,1.2541811456046048e-07,0.3685724336736591,True,9.207520633935928e-06,-2.5192275643348694e-07,-4.0512531995773315e-08,-1.5307199952019346e-14,3.469446951953614e-17,4.3021142204224816e-16,9.207520649243128e-06,-2.519227564681814e-07,-4.051253242598474e-08
|
||||
5,coarse,1,1.2532259030528792e-07,0.38942307019337585,True,1.49458646774292e-05,9.723007678985596e-07,1.2628734111785889e-06,-1.6535384173010925e-14,1.5959455978986625e-16,6.175615574477433e-16,1.4945864693964583e-05,9.72300767738965e-07,1.2628734105610273e-06
|
||||
6,fine,1,1.0399005534456052e-07,0.4260869217553865,True,5.527399480342865e-06,-8.754432201385498e-08,-1.555308699607849e-07,-1.4764231504038605e-14,4.336808689942018e-17,3.86843335142828e-16,5.5273994951070965e-06,-8.754432205722307e-08,-1.5553087034762825e-07
|
||||
6,fine,2,1.295425238190262e-07,0.36331211716460343,True,5.567912012338638e-06,-2.6542693376541138e-08,-2.0908191800117493e-07,-1.4812803761365956e-14,-5.186823193170653e-16,1.734723475976807e-18,5.567912027151442e-06,-2.654269285785882e-08,-2.0908191800290965e-07
|
||||
6,coarse,1,1.0239773140519048e-07,0.43028837580529966,True,1.3461336493492126e-05,5.308538675308228e-07,4.2654573917388916e-07,-2.033095913844818e-14,2.0816681711721685e-16,1.2212453270876722e-15,1.3461336513823086e-05,5.308538673226559e-07,4.2654573795264383e-07
|
||||
7,fine,1,1.1958961998459472e-07,0.4029625240438387,True,5.150679498910904e-06,-5.3551048040390015e-08,-7.497146725654602e-08,-1.5931700403370996e-14,-5.204170427930421e-17,-1.700029006457271e-16,5.150679514842604e-06,-5.355104798834831e-08,-7.497146708654312e-08
|
||||
7,fine,2,1.265965450247819e-07,0.3851888208747954,True,3.789551556110382e-06,0.0,3.725290298461914e-09,-1.5173626244369132e-14,7.806255641895632e-17,3.903127820947816e-16,3.7895515712840083e-06,-7.806255641895632e-17,3.725289908149132e-09
|
||||
7,coarse,1,1.0902046165828239e-07,0.38161058826685446,True,1.2835487723350525e-05,8.326023817062378e-07,-2.6635825634002686e-07,-2.4501234374696423e-14,-5.48172618408671e-16,-2.5673907444456745e-16,1.283548774785176e-05,8.326023822544104e-07,-2.663582560832878e-07
|
||||
8,fine,1,1.2448945463372496e-07,0.3720247984466396,True,2.2617168724536896e-06,7.869675755500793e-08,3.259629011154175e-09,-1.5289852717259578e-14,7.28583859910259e-17,-2.636779683484747e-16,2.2617168877435423e-06,7.869675748214955e-08,3.259629274832143e-09
|
||||
8,fine,2,1.3473279458775522e-07,0.39946262369614577,True,2.4368055164813995e-06,7.031485438346863e-08,-1.5366822481155396e-08,-1.6287318715946242e-14,4.683753385137379e-17,-1.196959198423997e-16,2.4368055327687183e-06,7.03148543366311e-08,-1.5366822361459476e-08
|
||||
8,coarse,1,1.265961931951054e-07,0.38341345468786764,True,8.130446076393127e-06,7.506459951400757e-07,-5.830079317092896e-07,-2.2391810627908626e-14,-1.6861512186494565e-15,1.0408340855860843e-16,8.130446098784938e-06,7.506459968262269e-07,-5.83007931813373e-07
|
||||
9,fine,1,1.3222774730703435e-07,0.3900959817916434,True,2.078711986541748e-06,8.568167686462402e-08,6.239861249923706e-08,-1.5612511283791264e-14,-2.5326962749261384e-16,2.42861286636753e-16,2.0787120021542593e-06,8.568167711789365e-08,6.239861225637577e-08
|
||||
9,fine,2,1.2824470274619415e-07,0.4272642246416919,True,8.78702849149704e-07,9.266659617424011e-08,-1.3830140233039856e-07,-1.4988010832439613e-14,-1.6653345369377348e-16,-1.2836953722228372e-16,8.787028641377148e-07,9.266659634077357e-08,-1.3830140220202902e-07
|
||||
9,coarse,1,1.1335454486172125e-07,0.3876201969620664,True,5.185604095458984e-06,-2.384185791015625e-07,-6.07222318649292e-07,-2.583350200424661e-14,3.122502256758253e-16,7.632783294297951e-17,5.185604121292486e-06,-2.384185794138127e-07,-6.072223187256198e-07
|
||||
10,fine,1,1.2645846059200494e-07,0.3781818251482199,True,2.073124051094055e-06,6.426125764846802e-08,1.0151416063308716e-07,-1.6764367671839864e-14,2.949029909160572e-16,-2.1163626406917047e-16,2.073124067858423e-06,6.426125735356503e-08,1.0151416084472342e-07
|
||||
10,fine,2,1.3663077158554415e-07,0.43888780198316496,True,1.5008263289928436e-06,7.031485438346863e-08,1.9883736968040466e-07,-1.6273440928138427e-14,-1.4051260155412137e-16,6.071532165918825e-17,1.5008263452662846e-06,7.031485452398123e-08,1.9883736961968934e-07
|
||||
10,coarse,1,1.5257769281351585e-07,0.4176679708473079,True,4.520639777183533e-06,-5.904585123062134e-07,-3.166496753692627e-08,-2.443184543565735e-14,-4.649058915617843e-16,1.0408340855860843e-16,4.520639801615378e-06,-5.904585118413075e-07,-3.166496764100968e-08
|
||||
11,fine,1,1.4342478449336227e-07,0.40055388671598813,True,9.159557521343231e-07,1.4388933777809143e-07,1.103617250919342e-07,-1.6368850719317152e-14,-7.979727989493313e-17,-1.3877787807814457e-17,9.159557685031738e-07,1.438893378578887e-07,1.1036172510581199e-07
|
||||
11,fine,2,1.229973988214894e-07,0.44018383771634995,True,1.3504177331924438e-06,-2.7939677238464355e-08,-3.725290298461914e-09,-1.6167622796103842e-14,-1.942890293094024e-16,1.457167719820518e-16,1.3504177493600666e-06,-2.7939677044175326e-08,-3.725290444178686e-09
|
||||
11,coarse,1,1.0126133054289e-07,0.37920635013850246,True,2.175569534301758e-06,-1.341104507446289e-07,1.2665987014770508e-07,-2.38073449843057e-14,9.020562075079397e-17,5.759281940243e-16,2.175569558109103e-06,-1.3411045083483453e-07,1.2665986957177688e-07
|
||||
12,fine,1,1.2071681543268653e-07,0.4311470967916149,True,1.3746321201324463e-06,-2.1420419216156006e-08,1.4528632164001465e-07,-1.6273440928138427e-14,-2.237793284010081e-16,-4.0072112295064244e-16,1.3746321364058872e-06,-2.1420418992376677e-08,1.4528632204073577e-07
|
||||
12,fine,2,1.371591822341145e-07,0.44227593234711177,True,1.982320100069046e-06,9.73232090473175e-08,1.448206603527069e-07,-1.6818144099595145e-14,-2.96637714392034e-16,1.214306433183765e-17,1.98232011688719e-06,9.732320934395522e-08,1.4482066034056384e-07
|
||||
12,coarse,1,1.2813768046626706e-07,0.42388935775355246,True,3.3173710107803345e-06,-4.898756742477417e-07,-1.8067657947540283e-07,-2.7193525209412428e-14,-1.1171619185290638e-15,-4.649058915617843e-16,3.3173710379738597e-06,-4.898756731305798e-07,-1.8067657901049694e-07
|
||||
13,fine,1,1.3950153099351326e-07,0.4396993900025004,True,1.2670643627643585e-06,2.3050233721733093e-07,1.2153759598731995e-07,-1.662038562333379e-14,3.903127820947816e-16,9.194034422677078e-17,1.2670643793847441e-06,2.3050233682701815e-07,1.215375958953796e-07
|
||||
13,fine,2,1.2581214114959494e-07,0.4721292711508529,True,1.1995434761047363e-06,3.7159770727157593e-07,1.0710209608078003e-07,-1.5909148998183298e-14,-8.153200337090993e-17,9.540979117872439e-17,1.1995434920138853e-06,3.7159770735310793e-07,1.0710209598537024e-07
|
||||
13,coarse,1,1.2660152992616247e-07,0.45318197065007865,True,7.878988981246948e-07,-1.210719347000122e-07,3.334134817123413e-07,-2.346040028911034e-14,-4.2327252813834093e-16,2.706168622523819e-16,7.878989215850951e-07,-1.2107193427673968e-07,3.3341348144172445e-07
|
||||
14,fine,1,1.5054562552130335e-07,0.5104225030616341,True,6.658956408500671e-07,1.778826117515564e-07,-2.60770320892334e-08,-1.6335890973273592e-14,2.96637714392034e-16,3.86843335142828e-16,6.658956571859581e-07,1.7788261145491868e-07,-2.6077032476076734e-08
|
||||
14,fine,2,1.3530934717120857e-07,0.4009751179733903,True,1.2051314115524292e-06,-1.955777406692505e-08,1.6205012798309326e-07,-1.6099968580540747e-14,-1.5785983631388945e-16,8.500145032286355e-17,1.2051314276523978e-06,-1.9557773909065213e-08,1.620501278980918e-07
|
||||
14,coarse,1,1.3409460186686317e-07,0.39963893479139145,True,3.9692968130111694e-06,8.754432201385498e-08,2.9616057872772217e-07,-2.5528190672474693e-14,-6.245004513516506e-17,-6.314393452555578e-16,3.96929683853936e-06,8.754432207630503e-08,2.961605793591615e-07
|
||||
15,fine,1,1.2702620799665e-07,0.37981873927853255,True,1.000240445137024e-06,-3.166496753692627e-08,7.729977369308472e-08,-1.607568245187707e-14,-2.1337098754514727e-16,1.4051260155412137e-16,1.0002404612127064e-06,-3.166496732355528e-08,7.729977355257212e-08
|
||||
15,fine,2,1.1264902777252672e-07,0.42131603992753336,True,8.651986718177795e-07,-4.377216100692749e-08,-1.0151416063308716e-07,-1.5992415725030185e-14,4.336808689942018e-17,3.2959746043559335e-17,8.651986878101953e-07,-4.377216105029558e-08,-1.015141606660469e-07
|
||||
15,coarse,1,1.305862756817433e-07,0.5086178241462508,True,1.6335397958755493e-06,-6.146728992462158e-08,2.2165477275848389e-07,-2.533390164316529e-14,-4.85722573273506e-17,2.706168622523819e-16,1.633539821209451e-06,-6.146728987604932e-08,2.2165477248786702e-07
|
||||
16,fine,1,1.3092614292720128e-07,0.40502514569399495,True,9.629875421524048e-07,-9.685754776000977e-08,8.66129994392395e-08,-1.6838960781306866e-14,-9.194034422677078e-17,8.500145032286355e-17,9.629875589913656e-07,-9.685754766806942e-08,8.661299935423805e-08
|
||||
16,fine,2,1.3893401662468108e-07,0.39764517507033376,True,1.5990808606147766e-06,-8.009374141693115e-08,-5.3085386753082275e-08,-1.6518036938251157e-14,3.0531133177191805e-16,3.5735303605122226e-16,1.5990808771328135e-06,-8.009374172224248e-08,-5.308538711043531e-08
|
||||
16,coarse,1,1.2888908407227007e-07,0.4083972967001409,True,5.159527063369751e-06,-4.3213367462158203e-07,1.4901161193847656e-07,-2.6131874442114622e-14,7.216449660063518e-16,-3.885780586188048e-16,5.159527089501625e-06,-4.32133675343227e-07,1.4901161232705462e-07
|
||||
17,fine,1,1.249536419889452e-07,0.39288318869275274,True,1.12876296043396e-06,-1.7601996660232544e-07,-2.3283064365386963e-07,-1.7957857423311907e-14,-5.551115123125783e-16,1.3530843112619095e-16,1.1287629783918174e-06,-1.7601996604721393e-07,-2.3283064378917806e-07
|
||||
17,fine,2,1.3328934989065289e-07,0.46401164838116316,True,7.129274308681488e-07,-2.1373853087425232e-07,-2.6496127247810364e-07,-1.634803403760543e-14,-2.914335439641036e-16,9.71445146547012e-17,7.129274472161828e-07,-2.1373853058281878e-07,-2.6496127257524815e-07
|
||||
17,coarse,1,1.246264329513025e-07,0.4613853551985751,True,5.302950739860535e-06,-2.0675361156463623e-07,1.1362135410308838e-07,-2.8373137173076657e-14,7.7021722333370235e-16,-6.869504964868156e-16,5.302950768233672e-06,-2.0675361233485345e-07,1.1362135479003888e-07
|
||||
18,fine,1,1.5840482392448507e-07,0.48249679461224454,True,8.10716301202774e-07,-1.4016404747962952e-07,-2.6402994990348816e-07,-1.6878859421254333e-14,7.632783294297951e-17,2.0816681711721685e-17,8.107163180816335e-07,-1.4016404755595735e-07,-2.6402994992430484e-07
|
||||
18,fine,2,1.217794476371381e-07,0.4447119430321027,True,1.4016404747962952e-07,-2.8545036911964417e-07,-8.847564458847046e-09,-1.709223040879948e-14,-1.1275702593849246e-16,1.8214596497756474e-16,1.4016406457185993e-07,-2.8545036900688714e-07,-8.847564640993011e-09
|
||||
18,coarse,1,1.3857981828735433e-07,0.4519491616828685,True,5.850568413734436e-06,-1.2479722499847412e-07,-1.471489667892456e-07,-2.688821387764051e-14,-8.534839501805891e-16,9.08995101411847e-16,5.85056844062265e-06,-1.2479722414499017e-07,-1.471489676982407e-07
|
||||
19,fine,1,1.4433919059975153e-07,0.3821888438774327,True,1.9441358745098114e-06,-1.3969838619232178e-09,-2.7474015951156616e-08,-1.628905343942222e-14,-3.920475055707584e-16,2.42861286636753e-17,1.944135890798865e-06,-1.3969834698757122e-09,-2.7474015975442745e-08
|
||||
19,fine,2,1.4349667698532187e-07,0.4183999473130793,True,2.1490268409252167e-06,1.7834827303886414e-07,-7.869675755500793e-08,-1.678344963007561e-14,-5.204170427930421e-18,2.949029909160572e-17,2.1490268577086663e-06,1.783482730440683e-07,-7.869675758449823e-08
|
||||
19,coarse,1,1.264100825126846e-07,0.5347769553832019,True,5.165114998817444e-06,3.91155481338501e-08,1.1734664440155029e-07,-2.6804947150793623e-14,-4.2327252813834093e-16,-3.8163916471489756e-16,5.165115025622391e-06,3.9115548557122626e-08,1.1734664478318946e-07
|
||||
20,fine,1,1.1464598925758906e-07,0.39800949885565845,True,1.8593855202198029e-06,7.031485438346863e-08,-2.2817403078079224e-08,-1.695171780724536e-14,1.457167719820518e-16,-7.632783294297951e-17,1.8593855371715207e-06,7.031485423775186e-08,-2.281740300175139e-08
|
||||
20,fine,2,1.3166252321727967e-07,0.41581763506478076,True,2.2118911147117615e-06,9.313225746154785e-10,9.033828973770142e-08,-1.7095699855751434e-14,-3.7643499428696714e-16,2.0990154059319366e-16,2.2118911318074613e-06,9.313229510504728e-10,9.033828952779988e-08
|
||||
20,coarse,1,1.3024161815700097e-07,0.47356066681074566,True,4.023313522338867e-06,5.997717380523682e-07,-8.568167686462402e-08,-2.7228219678931964e-14,3.0531133177191805e-16,3.7470027081099033e-16,4.023313549567087e-06,5.997717377470568e-07,-8.56816772393243e-08
|
||||
21,fine,1,1.361732063775989e-07,0.4205892378883329,True,2.439599484205246e-06,1.4854595065116882e-07,-1.327134668827057e-07,-1.6781714906599632e-14,3.885780586188048e-16,8.673617379884035e-17,2.439599500986961e-06,1.4854595026259076e-07,-1.3271346696944186e-07
|
||||
21,fine,2,1.2473161092874108e-07,0.45376916235253945,True,2.2514723241329193e-06,3.5902485251426697e-07,1.9976869225502014e-07,-1.692396223162973e-14,6.938893903907228e-17,-1.457167719820518e-16,2.2514723410568815e-06,3.5902485244487803e-07,1.9976869240073691e-07
|
||||
21,coarse,1,1.5484813187249813e-07,0.561763881940829,True,3.507360816001892e-06,7.431954145431519e-07,6.202608346939087e-07,-2.6131874442114622e-14,-4.579669976578771e-16,1.5265566588595902e-16,3.5073608421337665e-06,7.431954150011189e-07,6.20260834541253e-07
|
||||
22,fine,1,1.1594882032284204e-07,0.46103443091228286,True,1.2228265404701233e-06,2.300366759300232e-07,1.9185245037078857e-07,-1.5529244556944377e-14,-3.469446951953614e-18,7.28583859910259e-17,1.2228265559993678e-06,2.3003667593349264e-07,1.918524502979302e-07
|
||||
22,fine,2,1.4032262196650436e-07,0.41123793671363457,True,2.0829029381275177e-06,1.317821443080902e-07,1.1594966053962708e-07,-1.6656814816329302e-14,-2.42861286636753e-17,2.7755575615628914e-17,2.0829029547843325e-06,1.3178214433237634e-07,1.159496605118715e-07
|
||||
22,coarse,1,1.4061314457247676e-07,0.5696050037738337,True,5.517154932022095e-06,1.6167759895324707e-06,1.0058283805847168e-06,-2.643718577388654e-14,-4.996003610813204e-16,-4.579669976578771e-16,5.5171549584592805e-06,1.616775990032071e-06,1.0058283810426838e-06
|
||||
23,fine,1,1.172129048265802e-07,0.43537551205849856,True,1.8416903913021088e-06,2.230517566204071e-07,2.1746382117271423e-07,-1.620752143605131e-14,-4.735795089416683e-16,1.9081958235744878e-17,1.8416904075096302e-06,2.2305175709398661e-07,2.1746382115363228e-07
|
||||
23,fine,2,1.2559042006365928e-07,0.4297035689234779,True,1.998152583837509e-06,7.031485438346863e-08,4.98257577419281e-08,-1.62231339473351e-14,3.0184188481996443e-16,-3.7816971776294395e-16,1.998152600060643e-06,7.031485408162674e-08,4.982575812009782e-08
|
||||
23,coarse,1,1.5135824793510722e-07,0.4407189177218073,True,1.2038275599479675e-05,1.3243407011032104e-06,7.692724466323853e-07,-2.7304547511874944e-14,1.4502288259166107e-15,-4.371503159461554e-16,1.2038275626784223e-05,1.3243406996529816e-06,7.692724470695356e-07
|
||||
24,fine,1,1.1879041472706575e-07,0.3912946498849803,True,1.0398216545581818e-06,1.62515789270401e-07,1.3737007975578308e-07,-1.705927066275592e-14,1.6306400674181987e-16,-9.020562075079397e-17,1.0398216716174524e-06,1.62515789107337e-07,1.373700798459887e-07
|
||||
24,fine,2,1.4235627243674998e-07,0.4195513876580241,True,1.6004778444766998e-06,1.3830140233039856e-07,1.7927959561347961e-07,-1.668977456237286e-14,-1.9949319973733282e-16,1.2663481374630692e-16,1.6004778611664744e-06,1.3830140252989176e-07,1.792795954868448e-07
|
||||
24,coarse,1,1.5865499780609582e-07,0.5231448442629695,True,9.544193744659424e-06,4.5821070671081543e-07,2.942979335784912e-07,-2.545880173343562e-14,3.8163916471489756e-16,-1.457167719820518e-16,9.544193770118226e-06,4.5821070632917626e-07,2.94297933724208e-07
|
||||
|
@@ -1,25 +0,0 @@
|
||||
step,time,average_bound_ratio,leaf_m,leaf_px,leaf_py,delta_m,delta_px,delta_py,boundary_m,boundary_px,boundary_py,fine_transfer_m,fine_transfer_px,fine_transfer_py,coarse_transfer_m,coarse_transfer_px,coarse_transfer_py,raw_m,raw_px,raw_py,collision_drift_m,collision_drift_px,collision_drift_py,average_rounding_m,average_rounding_px,average_rounding_py,closure_m,closure_px,closure_py,cumulative_raw_m,cumulative_raw_px,cumulative_raw_py,cumulative_closure_m,cumulative_closure_px,cumulative_closure_py
|
||||
1,1,0.28124994289828603,560.7534663206898,0.0016594058834016323,0.0014196881093084812,0.003462142776697874,0.0016594058834016323,0.0014196881093084812,0.0034477608278393745,0.0016594044864177704,0.001420031301677227,-3.557652235031128e-07,0.0,0.0,5.308538675308228e-07,-1.862645149230957e-09,-1.7695128917694092e-07,1.4206860214471817e-05,3.259629011154175e-09,-1.6624107956886292e-07,1.4206860214471817e-05,3.259629011154175e-09,-1.6624107956886292e-07,1.7508864402770996e-07,-1.862645149230957e-09,-1.7695128917694092e-07,0.0,0.0,0.0,1.4206860214471817e-05,3.259629011154175e-09,-1.6624107956886292e-07,0.0,0.0,0.0
|
||||
2,2,0.37499987985940486,560.7572004375979,0.003110479563474655,0.002638322301208973,0.0037341169081628323,0.0014510736800730228,0.0012186341919004917,0.003732521552592516,0.0014515905641019344,0.0012190532870590687,-2.193264663219452e-06,-4.6566128730773926e-09,-1.685693860054016e-07,2.032145857810974e-06,-1.5087425708770752e-07,1.695007085800171e-07,1.7564743757247925e-06,-3.6135315895080566e-07,-4.200264811515808e-07,1.7564743757247925e-06,-3.6135315895080566e-07,-4.200264811515808e-07,-1.6111880540847778e-07,-1.555308699607849e-07,9.313225746154785e-10,0.0,0.0,0.0,1.596333459019661e-05,-3.580935299396515e-07,-5.862675607204437e-07,0.0,0.0,0.0
|
||||
3,3,0.2812499146093721,560.7611049492843,0.004511175211519003,0.0038183839060366154,0.00390451168641448,0.0014006956480443478,0.0011800616048276424,0.0038831778801977634,0.0014002365060150623,0.0011796201579272747,-3.6400742828845978e-06,4.698522388935089e-07,4.6798959374427795e-07,3.641471266746521e-06,-4.637986421585083e-07,-4.600733518600464e-07,2.1332409232854843e-05,4.530884325504303e-07,4.3353065848350525e-07,2.1332409232854843e-05,4.530884325504303e-07,4.3353065848350525e-07,1.3969838619232178e-09,6.05359673500061e-09,7.916241884231567e-09,0.0,0.0,0.0,3.729574382305145e-05,9.499490261077881e-08,-1.5273690223693848e-07,0.0,0.0,0.0
|
||||
4,4,0.37499987985940486,560.7650738614611,0.005782689433544874,0.004893188830465078,0.003968912176787853,0.0012715142220258713,0.001074804924428463,0.003933848347514868,0.0012704567052423954,0.001073895487934351,-6.910879164934158e-06,3.1711533665657043e-07,3.9534643292427063e-07,6.800517439842224e-06,-2.6263296604156494e-07,-3.371387720108032e-07,3.517419099807739e-05,1.0030344128608704e-06,8.512288331985474e-07,3.517419099807739e-05,1.0030344128608704e-06,8.512288331985474e-07,-1.103617250919342e-07,5.448237061500549e-08,5.820766091346741e-08,0.0,0.0,0.0,7.246993482112885e-05,1.0980293154716492e-06,6.984919309616089e-07,0.0,0.0,0.0
|
||||
5,5,0.3749998295680158,560.7690546456724,0.006910111755132675,0.005846448242664337,0.003980784211307764,0.001127422321587801,0.0009532594121992588,0.0039466856978833675,0.001126923132687807,0.0009523364715278149,-7.287599146366119e-06,1.0672956705093384e-06,4.637986421585083e-07,7.417052984237671e-06,-1.0095536708831787e-06,-4.023313522338867e-07,3.396905958652496e-05,4.414469003677368e-07,8.614733815193176e-07,3.396905958652496e-05,4.414469003677368e-07,8.614733815193176e-07,1.2945383787155151e-07,5.774199962615967e-08,6.146728992462158e-08,0.0,0.0,0.0,0.00010643899440765381,1.539476215839386e-06,1.5599653124809265e-06,0.0,0.0,0.0
|
||||
6,6,0.46874973195382685,560.7730254461057,0.007904952857643366,0.006686040665954351,0.003970800433307886,0.0009948411025106907,0.0008395924232900143,0.003946303389966488,0.0009944625198841095,0.00083962082862854,-6.226822733879089e-06,2.0954757928848267e-07,-1.8533319234848022e-07,6.167218089103699e-06,-2.477318048477173e-07,9.499490261077881e-08,2.455664798617363e-05,4.1676685214042664e-07,6.193295121192932e-08,2.455664798617363e-05,4.1676685214042664e-07,6.193295121192932e-08,-5.960464477539063e-08,-3.818422555923462e-08,-9.033828973770142e-08,0.0,0.0,0.0,0.00013099564239382744,1.9562430679798126e-06,1.6218982636928558e-06,0.0,0.0,0.0
|
||||
7,7,0.4687496533735736,560.7769900038838,0.008779809810221195,0.007423080503940582,0.003964557778090239,0.0008748569525778294,0.0007370398379862309,0.003942790906876326,0.0008741165511310101,0.0007373974658548832,-2.6883091777563095e-05,-1.3766344636678696e-05,-7.656868547201157e-06,2.6874244213104248e-05,1.3727694749832153e-05,7.636845111846924e-06,2.177571877837181e-05,7.790513336658478e-07,-3.3760443329811096e-07,2.177571877837181e-05,7.790513336658478e-07,-3.3760443329811096e-07,-8.847564458847046e-09,-3.864988684654236e-08,-2.0023435354232788e-08,0.0,0.0,0.0,0.00015277136117219925,2.7352944016456604e-06,1.2842938303947449e-06,0.0,0.0,0.0
|
||||
8,8,0.4687496533735736,560.7809417177923,0.009547093417495489,0.00806809077039361,0.0039517139084637165,0.0007672836072742939,0.0006450102664530277,0.0039388518780469894,0.0007664291188120842,0.0006456412374973297,-0.00016948627308011055,-8.736597374081612e-05,-5.452195182442665e-05,0.0001695193350315094,8.732080459594727e-05,5.4486095905303955e-05,1.2828968465328217e-05,8.996576070785522e-07,-5.951151251792908e-07,1.2828968465328217e-05,8.996576070785522e-07,-5.951151251792908e-07,3.306195139884949e-08,-4.516914486885071e-08,-3.585591912269592e-08,0.0,0.0,0.0,0.00016560032963752747,3.6349520087242126e-06,6.891787052154541e-07,0.0,0.0,0.0
|
||||
9,9,0.4686406250816172,560.7848850805312,0.010217653587460518,0.008631827309727669,0.0039433627389371395,0.0006705601699650288,0.0005637365393340588,0.00393525930121541,0.0006706290878355503,0.0005643940530717373,-0.000617987010627985,-0.0002765483222901821,-0.00019021378830075264,0.0006179474294185638,0.00027653947472572327,0.00019023939967155457,8.143018931150436e-06,-6.007030606269836e-08,-6.831251084804535e-07,8.143018931150436e-06,-6.007030606269836e-08,-6.831251084804535e-07,-3.958120942115784e-08,-8.847564458847046e-09,2.561137080192566e-08,0.0,0.0,0.0,0.0001737433485686779,3.5748817026615143e-06,6.05359673500061e-09,0.0,0.0,0.0
|
||||
10,10,0.4685945715880829,560.7888254267164,0.010803885292261839,0.00912527134642005,0.00394034618511796,0.000586231704801321,0.0004934440366923809,0.0039321803487837315,0.000586662907153368,0.0004931562580168247,-0.0014882697723805904,-0.0005795764736831188,-0.00043088337406516075,0.0014883410185575485,0.0005796011537313461,0.00043090246617794037,8.094590157270432e-06,-4.5588240027427673e-07,2.6868656277656555e-07,8.094590157270432e-06,-4.5588240027427673e-07,2.6868656277656555e-07,7.12461769580841e-08,2.468004822731018e-08,1.909211277961731e-08,0.0,0.0,0.0,0.00018183793872594833,3.1189993023872375e-06,2.7474015951156616e-07,0.0,0.0,0.0
|
||||
11,11,0.37499977927664024,560.7927596913651,0.011317913420498371,0.009557455778121948,0.003934264648705721,0.0005140281282365322,0.0004321844317018986,0.003929825499653816,0.0005140695720911026,0.0004319213330745697,-0.0026630824431777,-0.0009266296401619911,-0.0007359907031059265,0.002663079649209976,0.0009266063570976257,0.0007360205054283142,4.441943019628525e-06,-1.816079020500183e-08,2.3329630494117737e-07,4.441943019628525e-06,-1.816079020500183e-08,2.3329630494117737e-07,-2.7939677238464355e-09,-2.3283064365386963e-08,2.9802322387695312e-08,0.0,0.0,0.0,0.00018627988174557686,3.1008385121822357e-06,5.080364644527435e-07,0.0,0.0,0.0
|
||||
12,12,0.46874663591177923,560.7966943499632,0.011769441422075033,0.009937478695064783,0.003934658598154783,0.00045152800157666206,0.00038002291694283485,0.003928040154278278,0.00045189354568719864,0.0003798864781856537,-0.0038390979170799255,-0.0012310631573200226,-0.0010304069146513939,0.0038390420377254486,0.0012311115860939026,0.0010304339230060577,6.674323230981827e-06,-4.139728844165802e-07,1.0943040251731873e-07,6.674323230981827e-06,-4.139728844165802e-07,1.0943040251731873e-07,-5.587935447692871e-08,4.842877388000488e-08,2.7008354663848877e-08,0.0,0.0,0.0,0.00019295420497655869,2.6868656277656555e-06,6.174668669700623e-07,0.0,0.0,0.0
|
||||
13,13,0.37499972898527817,560.8006243831478,0.01216893782839179,0.010273906867951155,0.0039300331845879555,0.0003994964063167572,0.0003364281728863716,0.003926742821931839,0.00039900559931993484,0.00033587682992219925,-0.004740437027066946,-0.0014326325617730618,-0.0012463550083339214,0.004740472882986069,0.0014326423406600952,0.0012463442981243134,3.2545067369937897e-06,4.810281097888947e-07,5.620531737804413e-07,3.2545067369937897e-06,4.810281097888947e-07,5.620531737804413e-07,3.585591912269592e-08,9.778887033462524e-09,-1.0710209608078003e-08,0.0,0.0,0.0,0.00019620871171355247,3.16789373755455e-06,1.1795200407505035e-06,0.0,0.0,0.0
|
||||
14,14,0.4687474688530803,560.8045558938757,0.012523647397756577,0.010573056526482105,0.003931510727852583,0.00035470956936478615,0.00029914965853095055,0.003925675991922617,0.00035448791459202766,0.00029869796708226204,-0.005264284089207649,-0.0015086885541677475,-0.0013435659930109978,0.0052642785012722015,0.0015086643397808075,0.0013435855507850647,5.840323865413666e-06,2.4586915969848633e-07,4.3213367462158203e-07,5.840323865413666e-06,2.4586915969848633e-07,4.3213367462158203e-07,-5.587935447692871e-09,-2.421438694000244e-08,1.955777406692505e-08,0.0,0.0,0.0,0.00020204903557896614,3.4137628972530365e-06,1.6116537153720856e-06,0.0,0.0,0.0
|
||||
15,15,0.4682317851482336,560.8084840090014,0.012841148767620325,0.010841074865311384,0.003928115125745535,0.00031750136986374855,0.00026801833882927895,0.003924637567251921,0.00031766900792717934,0.00026782089844346046,-0.005472308956086636,-0.0014677206054329872,-0.001318071037530899,0.005472287535667419,0.001467689871788025,0.001318071037530899,3.4989789128303528e-06,-1.3690441846847534e-07,1.9744038581848145e-07,3.4989789128303528e-06,-1.3690441846847534e-07,1.9744038581848145e-07,-2.1420419216156006e-08,-3.073364496231079e-08,0.0,0.0,0.0,0.0,0.0002055480144917965,3.276858478784561e-06,1.809094101190567e-06,0.0,0.0,0.0
|
||||
16,16,0.4687439328019107,560.8124153451063,0.013128423597663641,0.011083992663770914,0.0039313361048698425,0.0002872748300433159,0.00024291779845952988,0.003923660609871149,0.0002878890372812748,0.00024270685389637947,-0.005496661644428968,-0.0013386714272201061,-0.0011936011724174023,0.005496615543961525,0.0013386663049459457,0.001193629577755928,7.721595466136932e-06,-6.09084963798523e-07,1.825392246246338e-07,7.721595466136932e-06,-6.09084963798523e-07,1.825392246246338e-07,-4.6100467443466187e-08,-5.122274160385132e-09,2.8405338525772095e-08,0.0,0.0,0.0,0.00021326960995793343,2.667773514986038e-06,1.991633325815201e-06,0.0,0.0,0.0
|
||||
17,17,0.46873638940438433,560.8163452413864,0.013391933869570494,0.011306562926620245,0.003929896280169487,0.0002635102719068527,0.0002225702628493309,0.003922717645764351,0.0002640876919031143,0.00022296980023384094,-0.005448666866868734,-0.0011560707353055477,-0.0010099620558321476,0.005448700860142708,0.0011560898274183273,0.0010099466890096664,7.1446411311626434e-06,-5.96512109041214e-07,-3.841705620288849e-07,7.1446411311626434e-06,-5.96512109041214e-07,-3.841705620288849e-07,3.3993273973464966e-08,1.909211277961731e-08,-1.5366822481155396e-08,0.0,0.0,0.0,0.00022041425108909607,2.0712614059448242e-06,1.607462763786316e-06,0.0,0.0,0.0
|
||||
18,18,0.4687180348178792,560.8202739986591,0.013636329676955938,0.011513229925185442,0.003928757272660732,0.00024439580738544464,0.000206666998565197,0.003921979106962681,0.00024497322738170624,0.0002071000635623932,-0.00538009125739336,-0.0009485194459557533,-0.0008049774914979935,0.005380067974328995,0.0009484924376010895,0.0008049644529819489,6.80144876241684e-06,-5.504116415977478e-07,-4.200264811515808e-07,6.80144876241684e-06,-5.504116415977478e-07,-4.200264811515808e-07,-2.3283064365386963e-08,-2.7008354663848877e-08,-1.30385160446167e-08,0.0,0.0,0.0,0.0002272156998515129,1.5208497643470764e-06,1.1874362826347351e-06,0.0,0.0,0.0
|
||||
19,19,0.4687494647810733,560.8242048402317,0.013865197543054819,0.011706916149705648,0.003930841572582722,0.00022886786609888077,0.00019368622452020645,0.0039215972647070885,0.00022865179926156998,0.00019369274377822876,-0.005283902399241924,-0.0007343888282775879,-0.0006027696654200554,0.005283888429403305,0.0007343888282775879,0.0006027519702911377,9.258277714252472e-06,2.1606683731079102e-07,1.1175870895385742e-08,9.258277714252472e-06,2.1606683731079102e-07,1.1175870895385742e-08,-1.3969838619232178e-08,0.0,-1.7695128917694092e-08,0.0,0.0,0.0,0.00023647397756576538,1.7369166016578674e-06,1.1986121535301208e-06,0.0,0.0,0.0
|
||||
20,20,0.468749291904748,560.8281343518756,0.01407972676679492,0.011888547334820032,0.003929511643946171,0.00021452922374010086,0.0001816311851143837,0.0039214082062244415,0.00021384842693805695,0.00018165074288845062,-0.005120935384184122,-0.0005169562064111233,-0.00041141873225569725,0.005120944231748581,0.0005169659852981567,0.00041141733527183533,8.094590157270432e-06,6.710179150104523e-07,-1.816079020500183e-08,8.094590157270432e-06,6.710179150104523e-07,-1.816079020500183e-08,8.847564458847046e-09,9.778887033462524e-09,-1.3969838619232178e-09,0.0,0.0,0.0,0.0002445685677230358,2.4079345166683197e-06,1.180451363325119e-06,0.0,0.0,0.0
|
||||
21,21,0.4686316241476506,560.8320638332516,0.014281701296567917,0.012059765867888927,0.003929481375962496,0.0002019745297729969,0.00017121853306889534,0.003921300172805786,0.000200699083507061,0.00017050933092832565,-0.004840303678065538,-0.00029240502044558525,-0.00022668996825814247,0.004840286448597908,0.00029242970049381256,0.00022671185433864594,8.198432624340057e-06,1.2507662177085876e-06,6.873160600662231e-07,8.198432624340057e-06,1.2507662177085876e-06,6.873160600662231e-07,-1.7229467630386353e-08,2.468004822731018e-08,2.1886080503463745e-08,0.0,0.0,0.0,0.00025276700034737587,3.6587007343769073e-06,1.8677674233913422e-06,0.0,0.0,0.0
|
||||
22,22,0.46868277541627273,560.835993598681,0.014473678078502417,0.012222256977111101,0.0039297654293477535,0.00019197678193449974,0.0001624911092221737,0.003920916933566332,0.00018997164443135262,0.0001611732877790928,-0.004407043103128672,-5.385419353842735e-05,-3.726920112967491e-05,0.004407068714499474,5.3880736231803894e-05,3.727339208126068e-05,8.822884410619736e-06,1.978594809770584e-06,1.3136304914951324e-06,8.822884410619736e-06,1.978594809770584e-06,1.3136304914951324e-06,2.561137080192566e-08,2.6542693376541138e-08,4.190951585769653e-09,0.0,0.0,0.0,0.0002615898847579956,5.6372955441474915e-06,3.1813979148864746e-06,0.0,0.0,0.0
|
||||
23,23,0.4687343150126283,560.8399298018776,0.014657547231763601,0.01237749820575118,0.003936203196644783,0.0001838691532611847,0.0001552412286400795,0.003920321352779865,0.000182238407433033,0.000154225155711174,-0.0038209911435842514,0.0001984424889087677,0.00016180798411369324,0.00382099486887455,-0.00019842945039272308,-0.00016182847321033478,1.5878118574619293e-05,1.6177073121070862e-06,1.0365620255470276e-06,1.5878118574619293e-05,1.6177073121070862e-06,1.0365620255470276e-06,3.725290298461914e-09,1.30385160446167e-08,-2.0489096641540527e-08,0.0,0.0,0.0,0.0002774680033326149,7.255002856254578e-06,4.217959940433502e-06,0.0,0.0,0.0
|
||||
24,24,0.46876041911371336,560.8438616539352,0.014835720416158438,0.012527641374617815,0.0039318520575761795,0.00017817318439483643,0.00015014316886663437,0.003919683396816254,0.0001774495467543602,0.00014953874051570892,-0.003126208670437336,0.0004524495452642441,0.0003674151375889778,0.0031261928379535675,-0.00045248493552207947,-0.0003674216568470001,1.2184493243694305e-05,7.59027898311615e-07,6.109476089477539e-07,1.2184493243694305e-05,7.59027898311615e-07,6.109476089477539e-07,-1.5832483768463135e-08,-3.5390257835388184e-08,-6.51925802230835e-09,0.0,0.0,0.0,0.0002896524965763092,8.014030754566193e-06,4.828907549381256e-06,0.0,0.0,0.0
|
||||
|
@@ -1,97 +0,0 @@
|
||||
metric,time,signal,baseline,absolute,any_crossed,peak_crossed,x,y,q
|
||||
coarse_interface_u,1,0.0,0.0,0.0,False,False,3.5,3.5,
|
||||
coarse_interface_u,2,0.0,2.63417801721126e-09,2.63417801721126e-09,False,False,3.5,3.5,
|
||||
coarse_interface_u,3,0.0,2.63417801721126e-09,2.63417801721126e-09,False,False,3.5,3.5,
|
||||
coarse_interface_u,4,0.0,6.585443742795605e-08,6.585443742795605e-08,False,False,3.5,3.5,
|
||||
coarse_interface_u,5,0.0,1.2644051067663912e-07,1.2644051067663912e-07,False,False,3.5,3.5,
|
||||
coarse_interface_u,6,2.123413592043705e-07,1.4528626697542904e-07,3.5762762617979955e-07,False,False,20.5,12.5,
|
||||
coarse_interface_u,7,4.0664670353703905e-06,2.0116559817931723e-07,4.267265792606936e-06,True,True,20.5,13.5,
|
||||
coarse_interface_u,8,2.316397368189694e-05,1.5646213891164667e-07,2.3320343327342335e-05,True,True,20.5,13.5,
|
||||
coarse_interface_u,9,6.795742008554701e-05,1.5646213891164667e-07,6.81138583592495e-05,True,True,20.5,13.5,
|
||||
coarse_interface_u,10,0.00013453387391202865,9.750014426779573e-08,0.00013463070833560589,True,True,20.5,13.5,
|
||||
coarse_interface_u,11,0.00020315493961354394,1.1795114315203827e-07,0.00020326776624343072,True,True,20.5,13.5,
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||||
coarse_interface_u,12,0.0002578325145358002,7.455233297611785e-08,0.00025790659921174714,True,True,20.5,14.5,
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||||
coarse_interface_u,13,0.0002848355625376438,3.83541997932092e-08,0.0002848672209318115,True,True,20.5,14.5,
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||||
coarse_interface_u,14,0.00028850325159438407,3.003423681142711e-08,0.00028847339892346693,True,True,20.5,15.5,
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||||
coarse_interface_u,15,0.0002790426599299092,6.516592454722021e-08,0.00027900289954439403,True,True,20.5,16.5,
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||||
coarse_interface_u,16,0.0002656231695763881,1.006517304071618e-07,0.0002656687325338991,True,True,20.5,17.5,
|
||||
coarse_interface_u,17,0.00025167224259872663,9.86322156278415e-08,0.00025171418857411254,True,True,20.5,18.5,
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||||
coarse_interface_u,18,0.00023917435962541014,1.0286787296380317e-07,0.00023916330914968713,True,True,20.5,19.5,
|
||||
coarse_interface_u,19,0.0002264648202014007,7.783088195871973e-08,0.00022649832134267317,True,True,20.5,20.5,
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||||
coarse_interface_u,20,0.00021450009842274482,8.503127640307697e-08,0.0002145262119900782,True,True,20.5,20.5,
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||||
coarse_interface_u,21,0.00019565444290966713,7.893743237430962e-08,0.00019572665753668725,True,True,20.5,20.5,
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||||
coarse_interface_u,22,0.00017530342242023255,5.2749351285234925e-08,0.0001753561669734725,True,True,20.5,20.5,
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||||
coarse_interface_u,23,0.00016284198169591366,8.178685339035058e-08,0.00016288798599953632,True,True,20.5,14.5,
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||||
coarse_interface_u,24,0.00016001299284349154,6.715860617082587e-08,0.00016005458983486885,True,True,20.5,14.5,
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||||
coarse_bulk_u,1,0.0,0.0,0.0,False,False,0.5,0.5,
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||||
coarse_bulk_u,2,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,3,0.0,0.0,0.0,False,False,0.5,0.5,
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||||
coarse_bulk_u,4,0.0,0.0,0.0,False,False,0.5,0.5,
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||||
coarse_bulk_u,5,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,6,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,7,9.685747920378016e-08,2.12341462371735e-07,3.0919894157551517e-07,False,False,21.5,12.5,
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||||
coarse_bulk_u,8,1.885523449607647e-06,2.458690369633922e-07,2.131116250194691e-06,True,False,21.5,13.5,
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||||
coarse_bulk_u,9,1.1801222962468464e-05,1.564621179284487e-07,1.1957591962850096e-05,True,True,21.5,13.5,
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||||
coarse_bulk_u,10,3.7763148161723895e-05,1.0327184058071679e-07,3.786536052602384e-05,True,True,21.5,13.5,
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||||
coarse_bulk_u,11,8.290997527773004e-05,4.214683516511236e-08,8.293984645156337e-05,True,True,21.5,13.5,
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||||
coarse_bulk_u,12,0.00013975592467875463,5.890198697622995e-09,0.00013975397806857782,True,True,21.5,13.5,
|
||||
coarse_bulk_u,13,0.00019498935130707817,4.806920811870088e-08,0.00019495727755690072,True,True,21.5,14.5,
|
||||
coarse_bulk_u,14,0.00023699059195898703,3.215422633434082e-08,0.00023698211801486242,True,True,21.5,14.5,
|
||||
coarse_bulk_u,15,0.000255587117158192,3.434546877545681e-08,0.0002555629409290573,True,True,21.5,14.5,
|
||||
coarse_bulk_u,16,0.00025699080829703886,0.0,0.00025699080829703886,True,True,21.5,15.5,
|
||||
coarse_bulk_u,17,0.00024815159847585574,6.606481633104396e-08,0.0002482080995082901,True,True,21.5,16.5,
|
||||
coarse_bulk_u,18,0.00023639704637690832,6.929437569595666e-08,0.00023645799303108044,True,True,21.5,17.5,
|
||||
coarse_bulk_u,19,0.00022522644482484474,1.0390817551817351e-07,0.00022530812767909556,True,True,21.5,19.5,
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||||
coarse_bulk_u,20,0.0002151574621150763,1.042082306083734e-07,0.00021524519922552202,True,True,22.5,18.5,
|
||||
coarse_bulk_u,21,0.00020618043430475382,9.442706670805767e-08,0.00020625960942046836,True,True,21.5,20.5,
|
||||
coarse_bulk_u,22,0.0001977039381507293,5.556802130737047e-08,0.00019775833634301496,True,True,22.5,20.5,
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||||
coarse_bulk_u,23,0.00018973381549205,4.4703464263670685e-08,0.00018970107840731907,True,True,22.5,21.5,
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||||
coarse_bulk_u,24,0.00018031585591623997,9.995996742145265e-08,0.0001802207328329628,True,True,22.5,22.5,
|
||||
fine_band_neq,1,0.0,3.000928300994632e-09,3.000928300994632e-09,False,False,4.25,4.25,
|
||||
fine_band_neq,2,0.0,4.501393077727123e-09,4.501393077727123e-09,False,False,4.25,4.25,
|
||||
fine_band_neq,3,0.0,2.069606169774474e-08,2.069606169774474e-08,False,False,4.25,4.25,
|
||||
fine_band_neq,4,0.0,4.1392115429639276e-09,4.1392115429639276e-09,False,False,4.25,4.25,
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||||
fine_band_neq,5,0.0,4.1392115429639276e-09,4.1392115429639276e-09,False,False,4.25,4.25,
|
||||
fine_band_neq,6,3.8661114470928126e-07,9.934099098884985e-09,3.766770456103963e-07,True,True,19.75,13.25,
|
||||
fine_band_neq,7,2.0898831959437203e-06,9.934099098884985e-09,2.0799490968448353e-06,True,True,19.75,13.25,
|
||||
fine_band_neq,8,5.086951299526632e-06,9.934099098884985e-09,5.077017200427747e-06,True,True,19.75,13.75,
|
||||
fine_band_neq,9,7.3187303596400355e-06,1.1589783133203468e-08,7.307140576506832e-06,True,True,19.75,14.25,
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||||
fine_band_neq,10,7.498180437826019e-06,9.106256526614231e-09,7.489074181299404e-06,True,True,19.75,15.25,
|
||||
fine_band_neq,11,6.85740365241605e-06,5.794905943989903e-09,6.86319855836004e-06,True,True,19.75,17.25,
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||||
fine_band_neq,12,6.20376639004494e-06,6.622735776451449e-09,6.200455026694751e-06,True,True,19.75,18.25,
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||||
fine_band_neq,13,5.366229072267803e-06,4.139212333997833e-09,5.369540443278531e-06,True,True,19.75,19.25,
|
||||
fine_band_neq,14,5.300103189165295e-06,4.967056432825245e-09,5.30507024559812e-06,True,True,19.75,19.75,
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||||
fine_band_neq,15,4.0156351262532475e-06,4.553132745832578e-09,4.018946498263176e-06,True,True,19.75,19.75,
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||||
fine_band_neq,16,3.7773208383384826e-06,6.622738135675377e-09,3.783943576474158e-06,True,True,19.75,16.75,
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||||
fine_band_neq,17,3.59763095919563e-06,6.622736969941201e-09,3.598458797438031e-06,True,True,19.75,17.75,
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||||
fine_band_neq,18,3.1864885083332517e-06,1.7384672978959514e-08,3.2038731813122112e-06,True,True,19.75,18.75,
|
||||
fine_band_neq,19,3.2079558324737967e-06,9.934106745546067e-09,3.2054722903795962e-06,True,True,19.75,19.75,
|
||||
fine_band_neq,20,3.2478981990546885e-06,8.278412177986638e-09,3.256176611232675e-06,True,True,19.75,19.75,
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||||
fine_band_neq,21,2.8408409309954585e-06,1.1589792486832451e-08,2.83256250521724e-06,True,True,19.75,19.75,
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||||
fine_band_neq,22,2.2599308021065134e-06,1.241763983306221e-09,2.2599308009962904e-06,True,True,19.75,19.75,
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||||
fine_band_neq,23,1.7067130013148635e-06,2.0696062086322797e-09,1.7075408424993554e-06,True,True,19.75,19.75,
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||||
fine_band_neq,24,1.7691307190870198e-06,7.864502313270627e-09,1.768302879068262e-06,True,True,4.25,8.25,
|
||||
transfer_neq,1,0.0,1.5004641487625925e-09,1.5004641487625925e-09,False,False,3.5,3.5,6
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||||
transfer_neq,2,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
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||||
transfer_neq,3,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
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||||
transfer_neq,4,0.0,6.881438113781613e-09,6.881438113781613e-09,False,False,3.5,3.5,6
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||||
transfer_neq,5,0.0,6.467520081987477e-09,6.467520081987477e-09,False,False,3.5,3.5,6
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||||
transfer_neq,6,4.801482146599145e-08,1.7384695072397705e-08,3.063012639359375e-08,False,False,20.5,12.5,1
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||||
transfer_neq,7,9.917490157301811e-07,1.4901174696935193e-08,9.76847841033246e-07,True,True,20.5,13.5,1
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||||
transfer_neq,8,5.3319513640959215e-06,7.450589978308386e-09,5.324500774117613e-06,True,True,20.5,13.5,1
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||||
transfer_neq,9,1.3926900000016396e-05,4.967061900673642e-09,1.3921932938115722e-05,True,True,20.5,13.5,1
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||||
transfer_neq,10,2.2683459353481372e-05,7.0366557441969846e-09,2.269049600922557e-05,True,True,20.5,13.5,1
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||||
transfer_neq,11,2.6366830318105827e-05,8.692339972804497e-09,2.6375522658078632e-05,True,True,20.5,14.5,1
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||||
transfer_neq,12,2.307753771932375e-05,1.0761948318616099e-08,2.3088299667642365e-05,True,True,20.5,14.5,1
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||||
transfer_neq,13,1.804053278801898e-05,6.6227364148296886e-09,1.804715552443381e-05,True,True,16.5,20.5,3
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||||
transfer_neq,14,1.3273871487681776e-05,3.725288785783043e-09,1.327759677646756e-05,True,True,17.5,20.5,3
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||||
transfer_neq,15,1.109810416584367e-05,1.7074248230553035e-09,1.1096396741020614e-05,True,True,20.5,20.5,5
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||||
transfer_neq,16,1.0547037354428218e-05,3.777030622292843e-09,1.0550814385050511e-05,True,True,20.5,20.5,5
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||||
transfer_neq,17,7.76073680465103e-06,1.5522043823879006e-09,7.762289009033418e-06,True,True,20.5,20.5,5
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||||
transfer_neq,18,6.477044739522375e-06,2.4835230261199825e-09,6.479528262548495e-06,True,True,16.5,3.5,4
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||||
transfer_neq,19,6.888961226400592e-06,4.553130164564045e-09,6.893514356565156e-06,True,True,16.5,3.5,4
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||||
transfer_neq,20,8.081834403372845e-06,1.6556842147297246e-09,8.080178719158115e-06,True,True,3.5,15.5,2
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||||
transfer_neq,21,9.19306995308955e-06,4.553133203799575e-09,9.19762308629335e-06,True,True,3.5,15.5,2
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||||
transfer_neq,22,9.90222802181584e-06,1.241762831449833e-09,9.90346978464729e-06,True,True,3.5,15.5,2
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||||
transfer_neq,23,9.820215213826589e-06,3.725291089495819e-09,9.823940504916084e-06,True,True,3.5,16.5,2
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||||
transfer_neq,24,9.034586770997888e-06,6.208816516473092e-09,9.028377954481415e-06,True,True,3.5,17.5,2
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||||
|
Binary file not shown.
@@ -1,170 +0,0 @@
|
||||
{
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"exact_average_residual": [
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||||
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||||
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||||
}
|
||||
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||||
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"baseline": 9.934099098884985e-09,
|
||||
"absolute": 3.766770456103963e-07,
|
||||
"x": 19.75,
|
||||
"y": 13.25
|
||||
},
|
||||
"peak": {
|
||||
"metric": "fine_band_neq",
|
||||
"time": 10,
|
||||
"signal": 7.498180437826019e-06,
|
||||
"baseline": 9.106256526614231e-09,
|
||||
"absolute": 7.489074181299404e-06,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 19.75,
|
||||
"y": 15.25
|
||||
}
|
||||
},
|
||||
"transfer_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 9.917490157301811e-07,
|
||||
"baseline": 1.4901174696935193e-08,
|
||||
"absolute": 9.76847841033246e-07,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "transfer_neq",
|
||||
"time": 11,
|
||||
"signal": 2.6366830318105827e-05,
|
||||
"baseline": 8.692339972804497e-09,
|
||||
"absolute": 2.6375522658078632e-05,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 14.5
|
||||
}
|
||||
}
|
||||
},
|
||||
"raw_minus_zero": [
|
||||
6.053410470485687e-05,
|
||||
2.1085143089294434e-06,
|
||||
9.126961231231689e-07
|
||||
]
|
||||
}
|
||||
@@ -1,2 +0,0 @@
|
||||
/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python /home/frank14f/CelerisLab/research/fine_surface_joint_20261014/runner.py
|
||||
Child command, explicit environment, fresh resource preflight and actual exit are stored in gpu_run.json.
|
||||
@@ -1,110 +0,0 @@
|
||||
FROZEN BEFORE GPU — bounded fine-surface/interface validation, 2026-10-14
|
||||
|
||||
Scope: exactly three independent trajectories speed=0,+.002,-.002, each24
|
||||
coarse/48fine steps, same physical time[0,24]. No other GPU tests, extensions,
|
||||
parameter sweeps or time extensions. Read-only hook instrumentation of normal
|
||||
production build, no audit macro and no stepping/formula changes.
|
||||
|
||||
Geometry: periodic24x24 coarse domain; patch edge bounds[4,20)x[4,20);
|
||||
fine40x40 including4halo; origin edge(2,2); fine dx=dt=.5; coarse dx=dt=1.
|
||||
Circle physical center(12.25,12.25),radius2.15 => fine integer center(20,20),R4.3.
|
||||
Stationary solid; surface angle.7rad,half_width.85rad,C1 amplitude0,+/-.002.
|
||||
nu_coarse=.05,tau_coarse=.65,tau_fine=.8; unforcedD2Q9SRT,FP32,unshiftedDB.
|
||||
Initial rho1,u0,Q-major postcollision equilibrium, same FP32 initial populations.
|
||||
All initial sources and device omega are checked. Actual package path must be
|
||||
/home/frank14f/CelerisLab/src. The preserved old tests are not changed or run.
|
||||
|
||||
Validity at every fine/coarse hop and publication:
|
||||
All valid fluid leaves finite, density(.9,1.1) and |u|<.05 in local collision
|
||||
oracle validity regime. Fine solids and outermost2halo after each fine hopNaN;
|
||||
inner ghost exactly stream-only including legitimate directionalNaNs.
|
||||
Published fine ghost/solid and coarse coveredNaN. Geometry and flags unchanged.
|
||||
|
||||
Propagation definitions (strict >; horizons and masks never adjusted):
|
||||
- Fine band: fine active fluid nodes with any D2Q9 nonrest neighbor outside
|
||||
geometric active patch, excluding solid boundaries.
|
||||
- Coarse interface: uncovered receiver cells of actual coalescence map.
|
||||
- Coarse bulk: ALL uncovered coarse fluid except that interface receiver set.
|
||||
- Transfer neq: actual replaced q component of the full reconstructed coarse
|
||||
incoming vector minus FP64feq(rho,u) of that same incoming vector, BEFORE
|
||||
coarse collision. Do not form full macros from partly valid ghost children.
|
||||
- Fine band neq: postcollision g minus FP64 equilibrium from its own macros.
|
||||
- Velocities: FP64 moments of published postcollision g / rho.
|
||||
- Physical coordinate coarse(I+.5,J+.5);fine(2+.5*(i+.5),2+.5*(j+.5)).
|
||||
Interface transfer and publication sampled at integer physical t=1..24.
|
||||
Boundary substeps at t=n-.5,n; no claim of sub-integer arrival resolution.
|
||||
- At each same point/q,time,phase compare driven and ZERO trajectory:
|
||||
velocity norm difference>1e-6 AND >10*zero velocity norm;
|
||||
neq absolute difference>1e-7 AND >10*abs(zero neq).
|
||||
Fine-band criterion uses maxq at each node for BOTH signal/baseline; this
|
||||
conservatively requires excess over the largest zero neq at that node.
|
||||
- For BOTH signs, all4 metrics (fine-band neq, actual-transfer neq,
|
||||
coarse-interface velocity, coarse-bulk velocity) must cross by24 or FAIL.
|
||||
Record each first qualified sample and global peak's time,physicallocation,
|
||||
baseline,absolutevalue,signal; per-step maxima and qualifying flag retained.
|
||||
These are aligned signal witnesses, not necessarily the same node/direction.
|
||||
This tests startup distribution/macroscopic propagation, possibly acoustic;
|
||||
not established jet advection, physical accuracy or shear-only transmission.
|
||||
|
||||
Ledger (M maps9populations to mass,px,py; area weights coarse1,fine1/4):
|
||||
L_n=M(sum coarse leaves+1/4 sum fine fluid leaves), FP64 accumulation.
|
||||
Each of48fine hops individually captures pre-BFL and staged BFL populations.
|
||||
B_h=1/4 M(actual solid-to-fluid arrivals minus fluid-to-solid departures).
|
||||
F_h=1/4 M(actual ghost-to-fluid arrivals minus fluid-to-ghost departures).
|
||||
B_n=B_h1+B_h2; F_n=F_h1+F_h2. No using latest buffer as two-hop sum.
|
||||
C_n=M(actual reconstructed coarse incoming minus previous coarse leaves),
|
||||
including periodic native streaming, all replacement links and8grazingcorners.
|
||||
Coarse incoming constructed from independent physical midpoint map; compare
|
||||
all target/source slots to actual tables. avg32=.25*((a+b)+c+d) inFP32.
|
||||
RAW_n=L_n-L_(n-1)-B_n-F_n-C_n; cumulative raw uses same initial/final leaves.
|
||||
Report RAW and driven-minus-zero RAW FIRST, never call them corrected to zero.
|
||||
|
||||
Source-based rounding decomposition and separate fixed checks:
|
||||
1. Each fine/coarse collision: reconstruct actual FP32 input using pure pull
|
||||
and avg32 where applicable. Independently evaluate FP64 SRT at the actual
|
||||
device FP32omega, verifying omega against tau and force=0.
|
||||
Every q,node must obey |GPUout-SRT64(input)| <= 8*eps32*|input_q|.
|
||||
This fixed local, near-rest acceptance bound reflects short FP32 rho/macro/
|
||||
feq/FMA path and fast-math compilation; it is not a general roundoff theorem.
|
||||
Report max absolute error and max normalized ratio, and fail if ratio>1.
|
||||
Cround = weighted sum M(GPUout-input) measured LOCALLY, independently of L
|
||||
or RAW. Record FP64 ideal moment defect and measured GPUout-ideal separately.
|
||||
Arbitrary collision error cannot be excused solely by global closure.
|
||||
2. Transfer Tround=M(avg32-avg64exact), computed independently from actual4
|
||||
children. Require each slot <=gamma3*sum|children|/4, u=eps32/2,
|
||||
gamma3=3u/(1-3u); exact power-of-two scaling in this normal positive regime.
|
||||
avg32 already in C_n, so DO NOT subtract Tround a second time.
|
||||
Also report RAW_exact_average=RAW+Tround to expose this source explicitly.
|
||||
3. BFL local oracle abs error<=1e-7, actual active cells unchanged.
|
||||
4. |RAW_n-Cround_n|<=1e-10 componentwise per interval;
|
||||
|sum RAW-sum Cround|<=1e-9 cumulative. These are FP64 bookkeeping bounds,
|
||||
NOT a physical-conservation/accuracy test. No broad eps*whole-domain
|
||||
accumulated budget used to label raw conservation as passing.
|
||||
5. Both driven cases' cumulative actual-minus-passive-oracle boundary mass
|
||||
has same sign as specified normal speed. BFL passive evaluated on same
|
||||
actual populations; not another trajectory and not a conservation fix.
|
||||
|
||||
Saved data: pertrajectory24ledger rows,72local collision rows,48fine boundary
|
||||
rows; small compressed diagnostic signals for reproducible zero comparisons;
|
||||
no full-field populations. Per-step link_exchange_GPU also saved separately:
|
||||
latest fine Fx,Fy scaled1/4; torque scaled1/8 for physical lever length. These
|
||||
body momentum diagnostics differ from fluid mass exchange and are NOT thrust
|
||||
or exchange rate. A fine-hop fluid exchange rate is B_h/.5; the coarse interval
|
||||
rate is (B_h1+B_h2)/1, numerically equal to interval sum only because dt_c=1.
|
||||
Do not equate B_h2/latest with two-hop interval sum.
|
||||
|
||||
No post-result tolerance/formula/window changes, retries or added steps to
|
||||
chase PASS. Preserve errors with real stdout/exit. Report precise unmet checks.
|
||||
Resource guards: fresh physicalGPU0UUID/apps/VRAM/RAM, onlyGPU0ifidle; no
|
||||
other task interference; 180secondwalltimeout; current available RAM reserve
|
||||
max(4GiB,10%),VRAM reserve max(512MiB,10%), own temporary+evidence<=2GB.
|
||||
Sample own process group RSS, no fixed address-space/RSS cap; remove only owned
|
||||
scratch. Every text artifact<=40000characters. Hash criteria/script/source at
|
||||
freeze then verify before launch; preserve all previous dirty/evidence.
|
||||
|
||||
Reference trace: accepted local tests/test_fine_surface_gpu.py BFL/flux hooks;
|
||||
refinement.cu actual two fine hops and coalesce order; macro.cuh and
|
||||
collision_srt.cuh actual FP32 collision path; compiler_v2.py --use_fast_math.
|
||||
Previously accepted OpenLB defineU2D.hh74-79/offBoundaryPostProcessors2D.hh115-127
|
||||
remain BFL hit/stencil reference; no new CFD formula or borrowed code.
|
||||
Production change limited to one coordinate-frame documentation sentence.
|
||||
@@ -1,105 +0,0 @@
|
||||
{
|
||||
"frozen_utc": "2026-10-14T05:55:03.221284+00:00",
|
||||
"hashes": {
|
||||
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|
||||
"src/CelerisLab.egg-info/top_level.txt": "cd51958ca03afabbaa9618c60b8280e486f8cc0b0359b839e10f886e7c3948f8",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"src/CelerisLab/config.py": "2f1bba7515f5bc08cb3a8d140bcafe7fa0689e01b3b06494697bb2956a71530e",
|
||||
"src/CelerisLab/__init__.py": "21cc469bd6e970a1f9ff5970c8eea4602065e41fc881854759ee565ee55c10c6",
|
||||
"src/CelerisLab/cuda/compiler_v2.py": "c4cc3ec4445c8d75e6a253dd87963877117a722bc73b9d4811806fc6045d08c1",
|
||||
"src/CelerisLab/cuda/obs_layout.py": "5ffb2c3aeeaaaaeb64f2cd8febfbcf4ad9919e5414020ad753cfade0683b21c2",
|
||||
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|
||||
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|
||||
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|
||||
"src/CelerisLab/lbm/field.py": "0e727eacc3706add4d8d15c418e9b631050871f831698d3ac689dd5f2c701b9b",
|
||||
"src/CelerisLab/lbm/equilibrium.py": "2fb2f2bb7ff326d23abce80fc2a4c0907b17740ea3e29fe6ae079c5044783826",
|
||||
"src/CelerisLab/lbm/descriptors.py": "c9f025dfc14da43b989047b84cc22bd05d5cc92c9ec695c1da68fdfb788e3f2b",
|
||||
"src/CelerisLab/lbm/initializers.py": "dacf9586963e862d6d0a98ef1a066036be6f91e9d423720661d8ef2c1fb2df6a",
|
||||
"src/CelerisLab/lbm/curved_links.py": "00d9c29d660b41190f32dd737b12f60e10ce4214b6c9a6ab2a63438813faa594",
|
||||
"src/CelerisLab/lbm/stepper.py": "0dcb7cd7ae87e33e3dc67a38b6aa43042fbe673e37d9ad165342ee1d695933ce",
|
||||
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|
||||
"src/CelerisLab/lbm/refinement.py": "8935b070ec9e7020897919c15f43f7fa6293f02e2ff64a19a3e3d99bc444dbcc",
|
||||
"src/CelerisLab/lbm/kernels/kernel_v2.cu": "c7bd3fb705b77261ba2441c52a24a7e6a7865c165cba088a1b75201c4d29c408",
|
||||
"src/CelerisLab/lbm/kernels/refinement.cu": "129f3d91da93b4324f88a0da73a4da1e5390f72c14cce574ee63306712da9895",
|
||||
"src/CelerisLab/lbm/kernels/config.h": "7d1124125e0b354558297934460e64c760fb68cdd7bf6d01a1238bb2eaab8c37",
|
||||
"src/CelerisLab/lbm/kernels/kernel_v2.ptx": "a599ee30ae66800f4d4220eb79dfed35ff32991661260f01ea58023ef780f0ca",
|
||||
"src/CelerisLab/lbm/kernels/operators/turbulence_smag.cuh": "ff7f000297ee0817e255ad9fcb6a13b647e3ddd5b206518d35f38d2895a9f501",
|
||||
"src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh": "aee444eb60c47a3fd518dca975d1af05425a0818a0ec6c3fb3f6150f60c2cb44",
|
||||
"src/CelerisLab/lbm/kernels/operators/collision_trt.cuh": "9725b9840b9ad8b4ec7be61ff5d06d3151e86d1a87585c13f2fbf934d0d2c5f6",
|
||||
"src/CelerisLab/lbm/kernels/operators/collision_srt.cuh": "6b7ff842f392c8f853d2d1a97cc69bfe50f21283f73e659404da07cf6c95f5e1",
|
||||
"src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh": "969a430c1af03f32e3bd0df95d805e64f56334717c44dd4ba208ba503062a24b",
|
||||
"src/CelerisLab/lbm/kernels/operators/macro.cuh": "e27c1c410dc857be98da4596568e405eeaf88701d291ac0e398aa9cd23dee740",
|
||||
"src/CelerisLab/lbm/kernels/operators/helpers.cuh": "0b3a4d95d7d19f5fec09e5423b8f4cc99f8a226b541967425967330da5a051ec",
|
||||
"src/CelerisLab/lbm/kernels/core/precision.cuh": "849df14b4cce50af52399e4b8f3e997196f3ae5f1163f68e28df3e6b2507a8c4",
|
||||
"src/CelerisLab/lbm/kernels/core/descriptors.cuh": "8440bc14857da9007982650f828a23608eec9f7cc4bf772e8c8dc1239cb45356",
|
||||
"src/CelerisLab/lbm/kernels/core/obs.cuh": "b742b77c9f61e1f020fe9922c3838ae9d855e17b381154958b58f10a22938922",
|
||||
"src/CelerisLab/lbm/kernels/core/params.cuh": "6e18bf730d936d940e3d85452f0714a2eaae31bf41002f9fd520ec5b372878dd",
|
||||
"src/CelerisLab/lbm/kernels/core/flags.cuh": "0025705f24710330d9d9195f713879bfb650a85a3449baef0e196b831af104ab",
|
||||
"src/CelerisLab/lbm/kernels/core/layout.cuh": "1fbd820021c89ac3efcde24145996cb0147769e607e498e61f308ed3e0b13706",
|
||||
"src/CelerisLab/lbm/kernels/boundary/ibm_kernels.cuh": "e6909b547dc8d64cdd8a76a90660243a8f5fee535caa161b52b4dd8b7c29934b",
|
||||
"src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh": "0b2f9e0bd483c199637e5672dc0ffc460bc383dd1804805befbeb4c5d8c708d1",
|
||||
"src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh": "de8b213a6da42c2e5e9f8966199fc66ea4541b85144a90f3f5dbad3c6ab63b97",
|
||||
"src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh": "7bccf7e7091c012d7a3d4874a881d4d46699021faedd83d125933fbdaa562711",
|
||||
"src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh": "aba3748c564ed91b161d268ef8b737b7c7be96a823063d201f3da684dd845233",
|
||||
"src/CelerisLab/lbm/kernels/boundary/esopull_curved_helpers.cuh": "b9b474bc4edaff05681c5443235472d04072d0d775fc0eb9c5967faef52b0258",
|
||||
"src/CelerisLab/lbm/kernels/boundary/inlet/equilibrium.cuh": "f0964c811b2c41a5aaa1c6d99c490b06e850c634eb8749f1f05ef61f93c2de1d",
|
||||
"src/CelerisLab/lbm/kernels/boundary/inlet/channel_stabilized.cuh": "efe077afcbb6b731256a987c2fd79a1dbc470c902f87070d60421ea6cb13d4e2",
|
||||
"src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh": "f3cec54c8873c65b3dca4375605d2c89a8727765884d3954c235242fdff9c6ba",
|
||||
"src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh": "e73e66b853b1e4e0e30d8f4185d832aa414ce670a1813ce2b5459f2887f71f89",
|
||||
"src/CelerisLab/lbm/kernels/boundary/inlet/regularized.cuh": "943d4a571818bacb89c70bccfaac202691121e3e385803ce6309123a0a03ddaf",
|
||||
"src/CelerisLab/lbm/kernels/boundary/outlet/pressure_neq.cuh": "c8b2adc66d12fe602076ddc9693c5c208711fcaddb58aa9a31401a269f51c4c4",
|
||||
"src/CelerisLab/lbm/kernels/streaming/esopull_single_buffer.cuh": "77ed4ab9a0ebc5ff62a91a7c39066ef395391ae36e9040a69fb2bd8b1626dc79",
|
||||
"src/CelerisLab/lbm/kernels/streaming/pull_double_buffer.cuh": "b65d741ed78b7b62f99531ba0c0ce1936663d8dc9640e7d7d16c707f1baf6549",
|
||||
"src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh": "dd5a9091628b079efd97e53fd49e52d09dcee88529235db77a5648e02937af6e",
|
||||
"src/CelerisLab/lbm/kernels/step/curved_double.cu": "bfa7a1df1e939020314d49755045f7a85fe4a19cc1c68dbe62653c66c5e7c2b3",
|
||||
"src/CelerisLab/lbm/kernels/step/esopull_sync.cu": "c0ff3e72900c3ab89a05dd03684e96d3b740cf1672d565727fc2af165933d087",
|
||||
"src/CelerisLab/lbm/kernels/step/init_flow.cu": "305be3bb12fc0d039acec1701baabcf0e8a35e683c49c34f2af8ca9867d2b29c",
|
||||
"src/CelerisLab/lbm/kernels/step/esopull_macro.cu": "c73116020ca217ede1e4de27c8269c31f9d91e33433ac8252a21e9b14187c50f",
|
||||
"src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "578a5b20a157241ee678547059abb1372dd5a589ad06bb2c15b987eb01ca1013",
|
||||
"src/CelerisLab/lbm/kernels/step/one_step_esopull.cu": "aa223b2744ae6c9125673df311a96ce588032c1ba58bebb11fd33ecb990f8ed4",
|
||||
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|
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{
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|
||||
"sha256": "facbe3d1568f80643ed7af3ebe93f076f9a3e0f7b1b90cb33e4b2fb27f6c25e9"
|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,110 +0,0 @@
|
||||
2026-10-14 — fine surface + fixed patch：24粗步短联合验证
|
||||
|
||||
结果：仅运行0、+.002、-.002三条同时间轨迹，各24coarse/48fine、物理时间24；
|
||||
唯一GPU批次exit0，全部预设局部算子、有效性、记账与传播检查通过，已停止。
|
||||
这不是严格守恒、物理精度、成熟喷流、空间收敛或长期稳定性认证。
|
||||
|
||||
先报告未修正累计收支残差（质量、Px、Py；实际FP32 transfer账本）：
|
||||
零驱动 +2.2911839187e-4 +5.9055164456e-6 +3.9162114263e-6
|
||||
正吹 +2.8965249658e-4 +8.0140307546e-6 +4.8289075494e-6
|
||||
负吸 +3.3393828198e-4 +2.1932646632e-7 +2.6496127248e-7
|
||||
相对零驱动的原始残差差值（不是修正后的守恒量）：
|
||||
正吹 +6.0534104705e-5 +2.1085143089e-6 +9.1269612312e-7
|
||||
负吸 +1.0481989011e-4 -5.6861899793e-6 -3.6512501538e-6
|
||||
零驱动本身有FP32累计漂移，不能把bitwise非零视为传播，也不能把舍入后闭合0
|
||||
说成原始残差为0。正吹/负吸的原始质量残差分别约占实际边界净质量交换的
|
||||
0.310%/0.357%；扣同时间零驱动基线后的差值分别约占0.0647%/0.1122%。
|
||||
这里只报告比例，没有事后以这些比例新增通过判据。
|
||||
|
||||
传播证据（两驱动同样的首次达标时间和物理坐标；时间以整数粗步采样）：
|
||||
量 首次t/位置 正吹差值 负吸差值
|
||||
fine接口内侧post-G neq 6 /(19.75,13.25) 3.86611e-7 3.73349e-7
|
||||
真实transfer arrival neq 7 /(20.5,13.5),q1 9.91749e-7 1.00666e-6
|
||||
coarse接收圈post-G速度 7 /(20.5,13.5) 4.06647e-6 4.09198e-6
|
||||
接收圈之外coarse bulk速度 8 /(13.5,21.5) 1.10692e-6 1.01799e-6
|
||||
对应零驱动基线依次9.93410e-9、1.49012e-8、2.01166e-7、1.00583e-7。
|
||||
预先固定速度差>1e-6，neq差>1e-7，且均>同位置/时间/阶段基线10倍；两符号均满足。
|
||||
负吸bulk首次点的绝对速度9.17512e-7，差值1.01799e-6；判据本来就针对差值，
|
||||
未把它改写为绝对速度超过1e-6。随后峰值处绝对速度和差值均明显非零。
|
||||
|
||||
峰值（相对零驱动，全部位于预设采样窗口内）：
|
||||
量 峰值t/位置 正吹 负吸
|
||||
fine接口内侧neq 10 /(19.75,15.25) 7.49818e-6 7.38603e-6
|
||||
真实transfer neq 11 /(20.5,14.5),q1 2.63668e-5 2.62411e-5
|
||||
coarse接收圈速度 14 /(20.5,15.5) 2.88503e-4 2.87819e-4
|
||||
接收圈之外bulk速度 16 /(21.5,15.5) 2.56991e-4 2.56441e-4
|
||||
这里证明喷吸启动扰动实际到达并通过接口，可能含压力/声学传播。不同指标的
|
||||
首次点是各自固定区域的检测见证，不冒称同一个流体质点的轨迹。24粗步内不能
|
||||
判断成熟射流或纯剪切扰动的跨接口精度。区域及实际传递方向保存在regions.json；
|
||||
每步指标、first/peak、同点基线和绝对值均有CSV/JSON；小型NPZ供离线复核。
|
||||
|
||||
逐步收支与舍入：
|
||||
每条轨迹24行复合叶节点质量/动量账本；48行真实fine边界交换（每区间2行、
|
||||
每次面积权重1/4）；72行局部collision诊断（每区间fine2次、coarse1次）。
|
||||
实际fluid boundary、fine transfer和coarse transfer分别统计，未用最新一帧
|
||||
link_exchange代替两子步累计。最新body impulse另列，仅为该子步的动量交换；
|
||||
fine rate=该子步交换/.5，coarse rate=两子步之和/1，不冒充总推力。
|
||||
|
||||
24区间累计（质量、Px、Py）：
|
||||
正吹B = (+.0935678868555, +.0148278460838, +.0125229167752)
|
||||
正吹F = (-.0672332551330, -.0119119063020, -.0101141575724)
|
||||
正吹C = (+.0672331918031, +.0119117666036, +.0101140532643)
|
||||
负吸B = (-.0934597565793, -.0147664458491, -.0124674369581)
|
||||
负吸F = (+.0670307464898, +.0118954917416, +.0100988540798)
|
||||
负吸C = (-.0670307874680, -.0118956044316, -.0100990422070)
|
||||
其中B为solid边界净交换，F为fine叶/halo交换，C为coarse真实incoming收支。
|
||||
正吹/负吸同实际population上相对passive BFL oracle的累计附加质量分别
|
||||
+.0743640140662、-.0742686590511，符号正确；这不是额外轨迹或守恒修正。
|
||||
|
||||
每个碰撞逐q/节点独立FP64 SRT参考：使用实际读回FP32omega并核对tau/force；
|
||||
固定近静止判据|GPUout-SRT64(actual_input)|<=8*eps32*|input_q|。
|
||||
三轨迹最大归一化误差分别.463942、.569605、.528511，全部<1；
|
||||
最大绝对误差分别1.29143e-7、1.58655e-7、1.64771e-7。
|
||||
它是本例的固定局部容差，考虑实际fast-math/FMA路径，不是一般舍入定理。
|
||||
每次局部M(output-input)独立测得的累计漂移与原始账本残差吻合；逐区间和累计
|
||||
剩余闭合误差在FP64计账中恰为0，满足预设1e-10/1e-9。这个零是记账分解验证，
|
||||
不是离散方案的精确物理守恒结论，也未以全域大容差掩盖raw残差。
|
||||
|
||||
coalescence的顺序FP32四子格平均与精确FP64均值之差独立由实际children计算，
|
||||
所有槽通过固定gamma3局部界限；实际transfer账本已经包含它，没有重复扣除。
|
||||
累计平均舍入（质量、Px、Py）：
|
||||
零驱动 (-5.7183206081e-7, -1.8812716007e-7, -2.8312206268e-7)
|
||||
正吹 (-6.3329935074e-8, -1.3969838619e-7, -1.0430812836e-7)
|
||||
负吸 (-4.0978193283e-8, -1.1269003153e-7, -1.8812716007e-7)
|
||||
采用精确平均记账的原始残差亦保存在各summary的exact_average_residual中。
|
||||
BFL最大局部误差三轨迹均<=1.27259e-8，低于冻结1e-7。
|
||||
未从末态差反推任何收支项，也未看到结果后改公式、阈值、窗口或步数。
|
||||
|
||||
有效性：每细步active流体有限、solid与最外2层halo为NaN；inner ghost按真实
|
||||
逐方向stream-only（包含合法NaN）核对。每粗步发布fine全部非叶和coarse covered
|
||||
均NaN；leaf finite、局部密度/速度范围达标；几何/flags/源对象不变。
|
||||
coarse320叶节点，其中68接口接收节点、252外部bulk；fine963流体叶，
|
||||
124接口内侧节点；实际coalescence196方向槽，包括原有8个grazing-corner槽。
|
||||
|
||||
执行和范围：
|
||||
冻结2026-10-14 05:55:03 UTC，GPU启动05:55:16 UTC，实际耗时9.596s，exit0。
|
||||
GPU0 UUID GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c，预检5MiB/util0/无计算进程。
|
||||
包来源严格为/home/frank14f/CelerisLab/src；现有pycuda_3_10环境；未安装依赖。
|
||||
峰值进程组RSS297836544bytes，最少可用RAM63740788736bytes，最少可用VRAM
|
||||
15826MiB，本轮临时与证据采样峰值2081386bytes，远小于2GB；无保护触发。
|
||||
采样保护不是OS硬隔离；独占scratch已删除，GPU退出后5MiB且无计算进程。
|
||||
|
||||
生产增量只有refinement_stepper.py一行文档，+1/-0，明确fine_objects采用
|
||||
edge/cell-center坐标（coarse中心I+.5），普通Simulation使用integer-node坐标。
|
||||
完整610文件基线比对仅这一文件改变；既有dirty、旧审查和运行证据全部保留；
|
||||
100个冻结脚本/源码哈希复核一致；不改生产公式、helper、网格或推进时序；
|
||||
无提交/推送、无DynamisLab修改、无额外GPU矩阵。默认旧测试未改未重跑。
|
||||
|
||||
证据导航：
|
||||
criteria.txt + frozen.json：运行前完整判据、时间戳、SHA256；不可事后改写。
|
||||
command.txt + runner.py + gpu_run.json + stdout.txt：确切命令、环境、预检、退出。
|
||||
validate.py：本次独立验证脚本，复用已接受test_fine_surface_gpu.py的只读钩子。
|
||||
zero/blow/suction_{ledger,collisions,boundary}.csv：必要逐步量与分解。
|
||||
blow/suction_propagation.csv、*_summary.json、*_signals.npz：信号与对齐基线。
|
||||
result.json：固定判据结果；regions.json：坐标/方向；integrity.json：范围完整性。
|
||||
incremental.diff：唯一生产增量；baseline_*.json：保留旧文件的哈希基线。
|
||||
代码/数值只读agent交叉复核见review.txt。所有最终文本每份<=40000字符。
|
||||
|
||||
限制：以上仅短时离散联合一致性和启动扰动跨接口证据。原始FP32漂移仍存在，
|
||||
未在本轮修正；不证明物理精度、空间收敛、稳态、长时稳定、性能或通用AMR。
|
||||
此步已完成并停止，没有延伸B墙穿接口候选、checkpoint或其他特性。
|
||||
@@ -1,412 +0,0 @@
|
||||
{
|
||||
"passed": true,
|
||||
"runs": {
|
||||
"zero": {
|
||||
"speed": 0.0,
|
||||
"initial_leaf": [
|
||||
560.7500041779131,
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"final_leaf": [
|
||||
560.7502328557894,
|
||||
4.124827682971954e-06,
|
||||
3.1795352697372437e-06
|
||||
],
|
||||
"raw_residual": [
|
||||
0.00022911839187145233,
|
||||
5.905516445636749e-06,
|
||||
3.916211426258087e-06
|
||||
],
|
||||
"exact_average_residual": [
|
||||
0.00022854655981063843,
|
||||
5.717389285564423e-06,
|
||||
3.6330893635749817e-06
|
||||
],
|
||||
"cumulative": {
|
||||
"boundary": [
|
||||
1.3131648302078247e-07,
|
||||
-1.5925616025924683e-06,
|
||||
-4.5355409383773804e-07
|
||||
],
|
||||
"fine_transfer": [
|
||||
-9.47713851928711e-05,
|
||||
3.1068921089172363e-06,
|
||||
-2.084299921989441e-06
|
||||
],
|
||||
"coarse_transfer": [
|
||||
9.419955313205719e-05,
|
||||
-3.295019268989563e-06,
|
||||
1.8011778593063354e-06
|
||||
],
|
||||
"rounding": [
|
||||
0.00022911839187145233,
|
||||
5.905516445636749e-06,
|
||||
3.916211426258087e-06
|
||||
],
|
||||
"average": [
|
||||
-5.718320608139038e-07,
|
||||
-1.8812716007232666e-07,
|
||||
-2.8312206268310547e-07
|
||||
]
|
||||
},
|
||||
"checks": {
|
||||
"validity": true,
|
||||
"geometry_unchanged": true,
|
||||
"boundary_count": 48,
|
||||
"collision_count": 72,
|
||||
"local_collision": true,
|
||||
"local_regime": true,
|
||||
"bfl": true,
|
||||
"transfer_rounding": true,
|
||||
"interval_closure": true,
|
||||
"cumulative_closure": true
|
||||
},
|
||||
"max_collision_ratio": 0.46394191845799526,
|
||||
"max_collision_error": 1.2914339875269576e-07,
|
||||
"max_bfl_error": 1.0332863675799331e-08,
|
||||
"max_interval_closure": 0.0,
|
||||
"drive_mass": 3.733417470608985e-07
|
||||
},
|
||||
"blow": {
|
||||
"speed": 0.002,
|
||||
"initial_leaf": [
|
||||
560.7500041779131,
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"final_leaf": [
|
||||
560.8438616539352,
|
||||
0.014835720416158438,
|
||||
0.012527641374617815
|
||||
],
|
||||
"raw_residual": [
|
||||
0.0002896524965763092,
|
||||
8.014030754566193e-06,
|
||||
4.828907549381256e-06
|
||||
],
|
||||
"exact_average_residual": [
|
||||
0.00028958916664123535,
|
||||
7.874332368373871e-06,
|
||||
4.7245994210243225e-06
|
||||
],
|
||||
"cumulative": {
|
||||
"boundary": [
|
||||
0.09356788685545325,
|
||||
0.014827846083790064,
|
||||
0.01252291677519679
|
||||
],
|
||||
"fine_transfer": [
|
||||
-0.0672332551330328,
|
||||
-0.01191190630197525,
|
||||
-0.010114157572388649
|
||||
],
|
||||
"coarse_transfer": [
|
||||
0.06723319180309772,
|
||||
0.011911766603589058,
|
||||
0.010114053264260292
|
||||
],
|
||||
"rounding": [
|
||||
0.0002896524965763092,
|
||||
8.014030754566193e-06,
|
||||
4.828907549381256e-06
|
||||
],
|
||||
"average": [
|
||||
-6.332993507385254e-08,
|
||||
-1.3969838619232178e-07,
|
||||
-1.043081283569336e-07
|
||||
]
|
||||
},
|
||||
"checks": {
|
||||
"validity": true,
|
||||
"geometry_unchanged": true,
|
||||
"boundary_count": 48,
|
||||
"collision_count": 72,
|
||||
"local_collision": true,
|
||||
"local_regime": true,
|
||||
"bfl": true,
|
||||
"transfer_rounding": true,
|
||||
"interval_closure": true,
|
||||
"cumulative_closure": true,
|
||||
"propagation": true,
|
||||
"drive_sign": true
|
||||
},
|
||||
"max_collision_ratio": 0.5696050037738337,
|
||||
"max_collision_error": 1.5865499780609582e-07,
|
||||
"max_bfl_error": 1.2725840020655355e-08,
|
||||
"max_interval_closure": 0.0,
|
||||
"drive_mass": 0.07436401406617413,
|
||||
"propagation": {
|
||||
"coarse_interface_u": {
|
||||
"threshold": 1e-06,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 4.0664670353703905e-06,
|
||||
"baseline": 2.0116559817931723e-07,
|
||||
"absolute": 4.267265792606936e-06,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "coarse_interface_u",
|
||||
"time": 14,
|
||||
"signal": 0.00028850325159438407,
|
||||
"baseline": 3.003423681142711e-08,
|
||||
"absolute": 0.00028847339892346693,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 20.5,
|
||||
"y": 15.5
|
||||
}
|
||||
},
|
||||
"coarse_bulk_u": {
|
||||
"threshold": 1e-06,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 8,
|
||||
"signal": 1.1069172403255332e-06,
|
||||
"baseline": 1.005827957173589e-07,
|
||||
"absolute": 1.2074577299858699e-06,
|
||||
"x": 13.5,
|
||||
"y": 21.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "coarse_bulk_u",
|
||||
"time": 16,
|
||||
"signal": 0.00025699080829703886,
|
||||
"baseline": 0.0,
|
||||
"absolute": 0.00025699080829703886,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 21.5,
|
||||
"y": 15.5
|
||||
}
|
||||
},
|
||||
"fine_band_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 6,
|
||||
"signal": 3.8661114470928126e-07,
|
||||
"baseline": 9.934099098884985e-09,
|
||||
"absolute": 3.766770456103963e-07,
|
||||
"x": 19.75,
|
||||
"y": 13.25
|
||||
},
|
||||
"peak": {
|
||||
"metric": "fine_band_neq",
|
||||
"time": 10,
|
||||
"signal": 7.498180437826019e-06,
|
||||
"baseline": 9.106256526614231e-09,
|
||||
"absolute": 7.489074181299404e-06,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 19.75,
|
||||
"y": 15.25
|
||||
}
|
||||
},
|
||||
"transfer_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 9.917490157301811e-07,
|
||||
"baseline": 1.4901174696935193e-08,
|
||||
"absolute": 9.76847841033246e-07,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "transfer_neq",
|
||||
"time": 11,
|
||||
"signal": 2.6366830318105827e-05,
|
||||
"baseline": 8.692339972804497e-09,
|
||||
"absolute": 2.6375522658078632e-05,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 14.5
|
||||
}
|
||||
}
|
||||
},
|
||||
"raw_minus_zero": [
|
||||
6.053410470485687e-05,
|
||||
2.1085143089294434e-06,
|
||||
9.126961231231689e-07
|
||||
]
|
||||
},
|
||||
"suction": {
|
||||
"speed": -0.002,
|
||||
"initial_leaf": [
|
||||
560.7500041779131,
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"final_leaf": [
|
||||
560.6568783186376,
|
||||
-0.014766339212656021,
|
||||
-0.012467360123991966
|
||||
],
|
||||
"raw_residual": [
|
||||
0.00033393828198313713,
|
||||
2.193264663219452e-07,
|
||||
2.6496127247810364e-07
|
||||
],
|
||||
"exact_average_residual": [
|
||||
0.00033389730378985405,
|
||||
1.0663643479347229e-07,
|
||||
7.683411240577698e-08
|
||||
],
|
||||
"cumulative": {
|
||||
"boundary": [
|
||||
-0.0934597565792501,
|
||||
-0.014766445849090815,
|
||||
-0.012467436958104372
|
||||
],
|
||||
"fine_transfer": [
|
||||
0.06703074648976326,
|
||||
0.011895491741597652,
|
||||
0.010098854079842567
|
||||
],
|
||||
"coarse_transfer": [
|
||||
-0.06703078746795654,
|
||||
-0.011895604431629181,
|
||||
-0.01009904220700264
|
||||
],
|
||||
"rounding": [
|
||||
0.00033393828198313713,
|
||||
2.193264663219452e-07,
|
||||
2.6496127247810364e-07
|
||||
],
|
||||
"average": [
|
||||
-4.0978193283081055e-08,
|
||||
-1.126900315284729e-07,
|
||||
-1.8812716007232666e-07
|
||||
]
|
||||
},
|
||||
"checks": {
|
||||
"validity": true,
|
||||
"geometry_unchanged": true,
|
||||
"boundary_count": 48,
|
||||
"collision_count": 72,
|
||||
"local_collision": true,
|
||||
"local_regime": true,
|
||||
"bfl": true,
|
||||
"transfer_rounding": true,
|
||||
"interval_closure": true,
|
||||
"cumulative_closure": true,
|
||||
"propagation": true,
|
||||
"drive_sign": true
|
||||
},
|
||||
"max_collision_ratio": 0.5285112236646456,
|
||||
"max_collision_error": 1.6477090769573266e-07,
|
||||
"max_bfl_error": 1.2498588997100768e-08,
|
||||
"max_interval_closure": 0.0,
|
||||
"drive_mass": -0.07426865905109248,
|
||||
"propagation": {
|
||||
"coarse_interface_u": {
|
||||
"threshold": 1e-06,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 4.091979903802207e-06,
|
||||
"baseline": 2.0116559817931723e-07,
|
||||
"absolute": 3.8910894220610345e-06,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "coarse_interface_u",
|
||||
"time": 14,
|
||||
"signal": 0.0002878189146376881,
|
||||
"baseline": 3.003423681142711e-08,
|
||||
"absolute": 0.0002878487673732557,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 20.5,
|
||||
"y": 15.5
|
||||
}
|
||||
},
|
||||
"coarse_bulk_u": {
|
||||
"threshold": 1e-06,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 8,
|
||||
"signal": 1.0179867624062477e-06,
|
||||
"baseline": 1.005827957173589e-07,
|
||||
"absolute": 9.175116276483961e-07,
|
||||
"x": 13.5,
|
||||
"y": 21.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "coarse_bulk_u",
|
||||
"time": 16,
|
||||
"signal": 0.00025644070267233306,
|
||||
"baseline": 0.0,
|
||||
"absolute": 0.00025644070267233306,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 21.5,
|
||||
"y": 15.5
|
||||
}
|
||||
},
|
||||
"fine_band_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 6,
|
||||
"signal": 3.733491271140643e-07,
|
||||
"baseline": 9.934099098884985e-09,
|
||||
"absolute": 3.832832262129493e-07,
|
||||
"x": 19.75,
|
||||
"y": 13.25
|
||||
},
|
||||
"peak": {
|
||||
"metric": "fine_band_neq",
|
||||
"time": 10,
|
||||
"signal": 7.386030289713297e-06,
|
||||
"baseline": 9.106256526614231e-09,
|
||||
"absolute": 7.395136546239911e-06,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 19.75,
|
||||
"y": 15.25
|
||||
}
|
||||
},
|
||||
"transfer_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 1.0066612778220074e-06,
|
||||
"baseline": 1.4901174696935193e-08,
|
||||
"absolute": 1.0215624525189426e-06,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "transfer_neq",
|
||||
"time": 11,
|
||||
"signal": 2.6241128339946074e-05,
|
||||
"baseline": 8.692339972804497e-09,
|
||||
"absolute": 2.623243599997327e-05,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 14.5
|
||||
}
|
||||
}
|
||||
},
|
||||
"raw_minus_zero": [
|
||||
0.0001048198901116848,
|
||||
-5.686189979314804e-06,
|
||||
-3.6512501537799835e-06
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,36 +0,0 @@
|
||||
Read-only agent review, 2026-10-14
|
||||
|
||||
/root/architecture — pre-run:
|
||||
No blocking issue in hooked kernel arguments/order, masks or area weighting.
|
||||
Caught CSV signal-location ambiguity and exchange-unit ambiguity before freeze:
|
||||
fixed any_crossed versus peak_crossed; renamed latest_body_impulse_x/y and
|
||||
latest_body_angular_impulse. No production behavior changes.
|
||||
|
||||
/root/numerical — pre-run:
|
||||
Avoid rho/u at partly valid halo children; transfer neq is defined at full
|
||||
coarse incoming vector, actual replaced q. No double-counting average rounding.
|
||||
Require independent local SRT oracle before describing measured local drift as
|
||||
rounding. Freeze pointwise baseline comparisons; startup propagation may be
|
||||
acoustic, not established jet advection. Suggestions incorporated before GPU.
|
||||
|
||||
/root/architecture — post-run:
|
||||
All frozen hashes match current sources; frozen.json digest matches gpu_run.
|
||||
Freeze05:55:03 precedes launch05:55:16UTC, real exit0. Each trajectory has correct
|
||||
ordered24ledger/72collision/48boundary rows; result/summary/final ledger agree.
|
||||
Independently reconstructed all4metrics' per-time any_crossed/peak_crossed,
|
||||
first-arrival and peaks/locations from saved signals.npz; all agree.
|
||||
All text artifacts inspected within40000characters. No material gap.
|
||||
|
||||
/root/numerical — post-run:
|
||||
Independently summed all3ledger/collision CSVs: all components of locally
|
||||
measured collision drift exactly reproduce raw global residual. Each interval
|
||||
fine_transfer+coarse_transfer-average_rounding is0. Largest FP64ideal moment
|
||||
defect about2.94e-14. Maximum independent local oracle normalized error.569605
|
||||
is below fixed1. Thus ledger closure is not the sole acceptance gate.
|
||||
No blocking issue. Raw mass residuals2.29118e-4/2.89652e-4/3.33938e-4 remain;
|
||||
identifying their FP32 source does not physically repair them or establish
|
||||
strict conservation. First6/7/8 are integer sampling threshold witnesses,
|
||||
not accurate propagation-speed or mature-jet/accuracy claims.
|
||||
|
||||
Agents performed read-only inspection/offline data parsing, no file edits,
|
||||
no GPU launch and no old regression runs. Root is the sole editor/launcher.
|
||||
@@ -1,130 +0,0 @@
|
||||
"""One launch, fresh resource guards, only owned scratch/process-group cleanup."""
|
||||
import hashlib
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
import shutil
|
||||
import signal
|
||||
import subprocess
|
||||
import tempfile
|
||||
import time
|
||||
from datetime import datetime, timezone
|
||||
|
||||
ROOT = Path('/home/frank14f/CelerisLab')
|
||||
OUT = Path(__file__).resolve().parent
|
||||
PYTHON = '/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
|
||||
UUID = 'GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c'
|
||||
|
||||
|
||||
def command(args):
|
||||
return subprocess.check_output(args, text=True, timeout=10)
|
||||
|
||||
|
||||
def gpu():
|
||||
return command(['nvidia-smi', '--query-gpu=index,uuid,name,memory.used,memory.free,utilization.gpu', '--format=csv,noheader,nounits'])
|
||||
|
||||
|
||||
def apps():
|
||||
return command(['nvidia-smi', '--query-compute-apps=gpu_uuid,pid,process_name,used_memory', '--format=csv,noheader,nounits'])
|
||||
|
||||
|
||||
def ram():
|
||||
for line in Path('/proc/meminfo').read_text().splitlines():
|
||||
if line.startswith('MemAvailable:'):
|
||||
return int(line.split()[1])*1024
|
||||
raise RuntimeError('MemAvailable unavailable')
|
||||
|
||||
|
||||
def disk(paths):
|
||||
return sum(p.stat().st_size for root in paths for p in root.rglob('*') if p.is_file())
|
||||
|
||||
|
||||
def group_rss(pgid):
|
||||
total = 0
|
||||
for proc in Path('/proc').iterdir():
|
||||
if not proc.name.isdigit():
|
||||
continue
|
||||
try:
|
||||
fields = (proc/'stat').read_text().rsplit(') ', 1)[1].split()
|
||||
if int(fields[2]) == pgid:
|
||||
for line in (proc/'status').read_text().splitlines():
|
||||
if line.startswith('VmRSS:'):
|
||||
total += int(line.split()[1])*1024
|
||||
except (OSError, ValueError, IndexError):
|
||||
pass
|
||||
return total
|
||||
|
||||
|
||||
def main():
|
||||
assert not (OUT/'gpu_run.json').exists(), 'Do not repeat an existing launch'
|
||||
data = dict(start_utc=datetime.now(timezone.utc).isoformat(), command=[PYTHON, str(OUT/'validate.py')],
|
||||
cwd=str(ROOT), physical_gpu_uuid=UUID, note='Sampled guards, not an OS hard isolation; no fixed RSS/AS cap.')
|
||||
scratch = None
|
||||
process = None
|
||||
started = time.monotonic()
|
||||
code = 1
|
||||
try:
|
||||
frozen = json.loads((OUT/'frozen.json').read_text())
|
||||
for path, digest in frozen['hashes'].items():
|
||||
assert hashlib.sha256((ROOT/path).read_bytes()).hexdigest() == digest, path
|
||||
data['preflight_gpu'], data['preflight_apps'], data['preflight_ram_bytes'] = gpu(), apps(), ram()
|
||||
fields = next(line.split(', ') for line in data['preflight_gpu'].splitlines() if UUID in line)
|
||||
used, free, util = map(int, fields[-3:])
|
||||
assert fields[0] == '0' and used <= 16 and free >= 2048 and util == 0
|
||||
assert UUID not in data['preflight_apps'] and data['preflight_ram_bytes'] >= 4*1024**3
|
||||
limits = dict(wall_seconds=180, temp_bytes=2_000_000_000,
|
||||
ram_reserve_bytes=max(4*1024**3, data['preflight_ram_bytes']//10),
|
||||
vram_reserve_MiB=max(512, free//10))
|
||||
data['limits'] = limits
|
||||
scratch = Path(tempfile.mkdtemp(prefix='celeris-joint24-'))
|
||||
env = dict(PYTHONPATH=str(ROOT/'src'), PYTHONNOUSERSITE='1', PYTHONDONTWRITEBYTECODE='1',
|
||||
OPENBLAS_NUM_THREADS='1', CUDA_VISIBLE_DEVICES=UUID,
|
||||
CUDA_CACHE_DISABLE='1', TMPDIR=str(scratch))
|
||||
data['env'] = env
|
||||
data['frozen_sha256'] = hashlib.sha256((OUT/'frozen.json').read_bytes()).hexdigest()
|
||||
data['peak_group_rss_bytes'] = 0
|
||||
data['peak_temp_bytes'] = disk([OUT,scratch])
|
||||
data['min_ram_bytes'] = data['preflight_ram_bytes']
|
||||
data['min_vram_free_MiB'] = free
|
||||
data['termination_reason'] = None
|
||||
with (OUT/'stdout.txt').open('w') as output:
|
||||
process = subprocess.Popen(data['command'], cwd=ROOT, env={**os.environ, **env},
|
||||
stdout=output, stderr=subprocess.STDOUT, start_new_session=True)
|
||||
while process.poll() is None:
|
||||
available, occupied = ram(), disk([OUT,scratch])
|
||||
free = int(next(line.split(', ')[-2] for line in gpu().splitlines() if UUID in line))
|
||||
data['peak_group_rss_bytes'] = max(data['peak_group_rss_bytes'], group_rss(process.pid))
|
||||
data['peak_temp_bytes'] = max(data['peak_temp_bytes'], occupied)
|
||||
data['min_ram_bytes'] = min(data['min_ram_bytes'], available)
|
||||
data['min_vram_free_MiB'] = min(data['min_vram_free_MiB'], free)
|
||||
if (time.monotonic()-started > limits['wall_seconds'] or occupied > limits['temp_bytes']
|
||||
or available < limits['ram_reserve_bytes'] or free < limits['vram_reserve_MiB']):
|
||||
data['termination_reason'] = 'Time/disk/RAM/VRAM guard triggered'
|
||||
os.killpg(process.pid, signal.SIGTERM)
|
||||
try:
|
||||
process.wait(timeout=5)
|
||||
except subprocess.TimeoutExpired:
|
||||
os.killpg(process.pid, signal.SIGKILL)
|
||||
break
|
||||
time.sleep(.5)
|
||||
code = process.wait(timeout=10)
|
||||
data['postflight_gpu'], data['postflight_apps'] = gpu(), apps()
|
||||
except BaseException as error:
|
||||
data['runner_error'] = repr(error)
|
||||
if process is not None and process.poll() is None:
|
||||
os.killpg(process.pid, signal.SIGKILL)
|
||||
process.wait(timeout=10)
|
||||
raise
|
||||
finally:
|
||||
data['exit_code'] = code
|
||||
data['elapsed_seconds'] = time.monotonic()-started
|
||||
if scratch is not None:
|
||||
shutil.rmtree(scratch)
|
||||
data['scratch_removed'] = scratch is None or not scratch.exists()
|
||||
(OUT/'gpu_run.json').write_text(json.dumps(data, indent=2)+'\n')
|
||||
print(json.dumps(data, indent=2), flush=True)
|
||||
raise SystemExit(code)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
File diff suppressed because one or more lines are too long
@@ -1,49 +0,0 @@
|
||||
step,substep,time,bfl_error,drive_mass,latest_body_impulse_x,latest_body_impulse_y,latest_body_angular_impulse,boundary_m,boundary_px,boundary_py,fine_transfer_m,fine_transfer_px,fine_transfer_py
|
||||
1,1,0.5,3.7331066016221826e-09,-0.0015482641756534576,0.0010669892653822899,0.0009111212566494942,1.329833948571224e-05,-0.0015482641756534576,-0.0010669846087694168,-0.0009111212566494942,0.0,0.0,0.0
|
||||
1,2,1.0,7.450580596923828e-09,-0.001546488821844781,0.0005881106480956078,0.0005055302754044533,7.090981909652072e-06,-0.0018966365605592728,-0.000588112510740757,-0.0005055312067270279,-3.557652235031128e-07,0.0,0.0
|
||||
2,1,1.5,7.450580596923828e-09,-0.0015455698188904868,0.0007474450394511223,0.000630686990916729,6.323601846380811e-06,-0.0017942930571734905,-0.0007474464364349842,-0.0006306902505457401,-8.530914783477783e-07,-7.450580596923828e-09,-1.6763806343078613e-07
|
||||
2,2,2.0,7.450580596923828e-09,-0.0015454305605910922,0.0006957640871405602,0.0005812598392367363,-9.326976928458741e-06,-0.0019257990643382072,-0.0006957687437534332,-0.0005812682211399078,-1.3401731848716736e-06,2.7939677238464355e-09,-9.313225746154785e-10
|
||||
3,1,2.5,7.450580596923828e-09,-0.0015454182331193405,0.0007162690162658691,0.0006032083183526993,2.0262676536653146e-06,-0.0019086366519331932,-0.0007162792608141899,-0.0006032129749655724,-1.6577541828155518e-06,1.5832483768463135e-07,1.5832483768463135e-07
|
||||
3,2,3.0,8.221284986120736e-09,-0.0015455955498631406,0.000675516203045845,0.0005694478750228882,-2.283530538660372e-06,-0.0019611637108027935,-0.0006755241192877293,-0.0005694576539099216,-1.982320100069046e-06,3.1152740120887756e-07,3.096647560596466e-07
|
||||
4,1,3.5,7.450580596923828e-09,-0.0015457821940822736,0.0006534429267048836,0.000552385114133358,3.1464089307320364e-06,-0.001949384342879057,-0.0006534415297210217,-0.000552391167730093,-3.2121315598487854e-06,3.5297125577926636e-07,3.762543201446533e-07
|
||||
4,2,4.0,7.450580596923828e-09,-0.0015460265831878312,0.0006101150065660477,0.0005156379193067551,2.1656969761973954e-07,-0.001972564961761236,-0.000610120128840208,-0.0005156439729034901,-3.698747605085373e-06,-3.585591912269592e-08,1.909211277961731e-08
|
||||
5,1,4.5,7.450580596923828e-09,-0.0015462236236817618,0.0005800491198897362,0.0004902100190520287,2.4401852956046355e-06,-0.0019627874717116356,-0.0005800472572445869,-0.0004902174696326256,-3.6563724279403687e-06,5.550682544708252e-07,2.4121254682540894e-07
|
||||
5,2,5.0,8.17224322935406e-09,-0.001546429669342637,0.0005416562780737877,0.00045779068022966385,6.411905253411732e-07,-0.0019741454161703587,-0.0005416539497673512,-0.000457793939858675,-3.6312267184257507e-06,5.122274160385132e-07,2.2258609533309937e-07
|
||||
6,1,5.5,7.450580596923828e-09,-0.0015465991853560995,0.0005121780559420586,0.00043242890387773514,1.926527342988038e-06,-0.001966074574738741,-0.0005121775902807713,-0.000432425644248724,-2.8940849006175995e-06,5.164183676242828e-07,3.213062882423401e-08
|
||||
6,2,6.0,1.0613033563089402e-08,-0.001546759810737387,0.00047842320054769516,0.00040392857044935226,7.323118594859679e-07,-0.001972377300262451,-0.0004784250631928444,-0.00040392763912677765,-2.0721927285194397e-06,6.435438990592957e-07,9.12696123123169e-08
|
||||
7,1,6.5,7.450580596923828e-09,-0.0015468885373133533,0.00045062508434057236,0.0003800736740231514,1.5839877249845813e-06,-0.0019662114791572094,-0.0004506339319050312,-0.00038006948307156563,2.334360033273697e-06,3.114808350801468e-06,1.4849938452243805e-06
|
||||
7,2,7.0,8.999190503899968e-09,-0.0015470132347384351,0.00042080413550138474,0.0003548497334122658,8.012649583832854e-07,-0.0019701728597283363,-0.0004208004102110863,-0.00035485532134771347,1.5432480722665787e-05,1.1287163943052292e-05,5.935784429311752e-06
|
||||
8,1,7.5,1.0738867337045654e-08,-0.0015471137993936443,0.0003952737897634506,0.00033300556242465973,1.388882160391347e-06,-0.0019654585048556328,-0.0003952831029891968,-0.0003329990431666374,5.064625293016434e-05,2.6551075279712677e-05,1.5786848962306976e-05
|
||||
8,2,8.0,7.94032639639397e-09,-0.0015472117748432483,0.00036898814141750336,0.00031079165637493134,8.204820101109789e-07,-0.0019681239500641823,-0.0003689778968691826,-0.0003107842057943344,0.00010942388325929642,6.19497150182724e-05,3.8951635360717773e-05
|
||||
9,1,8.5,8.976009713279609e-09,-0.0015472804270270975,0.00034602265805006027,0.0002911807969212532,1.3696224959725e-06,-0.001964463386684656,-0.0003460417501628399,-0.00029119057580828667,0.0002314508892595768,9.650783613324165e-05,6.443960592150688e-05
|
||||
9,2,9.0,1.0052167986884797e-08,-0.001547337366734857,0.00032305438071489334,0.0002718055620789528,8.737507810607781e-07,-0.00196637911722064,-0.00032305577769875526,-0.0002718069590628147,0.0003751874901354313,0.00017973734065890312,0.00012484891340136528
|
||||
10,1,9.5,7.4023787099974925e-09,-0.001547404346943595,0.00030282605439424515,0.0002545500174164772,1.3337265093449346e-06,-0.0019635148346424103,-0.00030282698571681976,-0.00025455933064222336,0.0006195390596985817,0.00022383593022823334,0.000162455253303051
|
||||
10,2,10.0,6.968939966767174e-09,-0.001547448671976346,0.0002828845754265785,0.00023786630481481552,9.501839344228102e-07,-0.001965020317584276,-0.00028289156034588814,-0.00023785652592778206,0.0008522137068212032,0.00035300618037581444,0.0002658138982951641
|
||||
11,1,10.5,1.0530962046839676e-08,-0.0015474870615136364,0.00026516150683164597,0.00022298935800790787,1.3016631345008634e-06,-0.0019626920111477375,-0.00026516104117035866,-0.00022298330441117287,0.0011819470673799515,0.0003880225121974945,0.00030118972063064575
|
||||
11,2,11.0,7.354702624695619e-09,-0.0015475354224584415,0.0002481304109096527,0.00020870380103588104,8.941672690054858e-07,-0.0019638948142528534,-0.00024813972413539886,-0.00020870286971330643,0.00145752914249897,0.0005337242037057877,0.00042963773012161255
|
||||
12,1,11.5,8.767222503536232e-09,-0.001547562607513273,0.00023286882787942886,0.00019576307386159897,1.1601679523742803e-06,-0.001962078735232353,-0.0002328716218471527,-0.00019576400518417358,0.0017802291549742222,0.0005506309680640697,0.00045162299647927284
|
||||
12,2,12.0,9.096382980189333e-09,-0.0015476002059964218,0.00021828524768352509,0.00018361210823059082,8.859918445569548e-07,-0.0019631017930805683,-0.00021829502657055855,-0.00018362188711762428,0.002031440380960703,0.0006739604286849499,0.000572004821151495
|
||||
13,1,12.5,6.5197561377461355e-09,-0.0015476129016728998,0.00020523089915513992,0.00017269793897867203,1.2139267550059785e-06,-0.0019616251811385155,-0.00020523276180028915,-0.00017269421368837357,0.0022674263454973698,0.00067532854154706,0.0005780183710157871
|
||||
13,2,13.0,5.146194359539891e-09,-0.0015476392796307777,0.00019292067736387253,0.00016248133033514023,9.107929975771256e-07,-0.0019624661654233932,-0.0001929309219121933,-0.0001624850556254387,0.002446614671498537,0.0007499088533222675,0.0006604096852242947
|
||||
14,1,13.5,8.330306375259333e-09,-0.0015476535128897996,0.0001819990575313568,0.00015316344797611237,1.1346972110803932e-06,-0.0019612740725278854,-0.0001819925382733345,-0.00015317555516958237,0.0025721797719597816,0.0007412796840071678,0.0006537484005093575
|
||||
14,2,14.0,8.454041688921166e-09,-0.0015476762461938956,0.00017176009714603424,0.00014458410441875458,9.925571977653647e-07,-0.0019619660452008247,-0.00017175264656543732,-0.0001445794478058815,0.0026705721393227577,0.000760519877076149,0.0006827609613537788
|
||||
15,1,14.5,8.024249306681774e-09,-0.0015476863880568553,0.0001627029851078987,0.00013693515211343765,1.1326488877916319e-06,-0.0019609066657721996,-0.00016270345076918602,-0.00013692351058125496,0.0027098902501165867,0.0007453667931258678,0.0006675352342426777
|
||||
15,2,15.0,8.5509712643983e-09,-0.0015477023138736976,0.00015427079051733017,0.0001298980787396431,1.0080659256228586e-06,-0.0019614454358816147,-0.00015425775200128555,-0.00012989435344934464,0.0027480190619826317,0.0007168371230363846,0.0006446875631809235
|
||||
16,1,15.5,1.2498588997100768e-08,-0.0015477122014419843,0.0001468295231461525,0.000123598612844944,1.1824087963185903e-06,-0.001960494089871645,-0.00014683278277516365,-0.000123604666441679,0.002740874420851469,0.0006989189423620701,0.000626422930508852
|
||||
16,2,16.0,9.256705402194143e-09,-0.0015477301148594871,0.00014006812125444412,0.00011796411126852036,9.308136234009723e-07,-0.0019609369337558746,-0.00014007184654474258,-0.00011796131730079651,0.002747458405792713,0.0006359582766890526,0.0005640769377350807
|
||||
17,1,16.5,9.86708736938624e-09,-0.0015477351078586202,0.00013425014913082123,0.00011301040649414062,1.1052945718681428e-06,-0.001960096415132284,-0.0001342552714049816,-0.0001130090095102787,0.002724500373005867,0.0006184643134474754,0.0005468325689435005
|
||||
17,2,17.0,8.028477438415393e-09,-0.0015477600973967448,0.00012889597564935684,0.00010859500616788864,9.277017700703993e-07,-0.001960489433258772,-0.0001288936473429203,-0.00010859174653887749,0.0027201655320823193,0.0005353703163564205,0.00046224379912018776
|
||||
18,1,17.5,7.699842763386755e-09,-0.0015477556081742207,0.00012428779155015945,0.00010465551167726517,1.036442421664674e-06,-0.00195977371186018,-0.0001242849975824356,-0.00010466109961271286,0.0026930058375000954,0.0005191462114453316,0.0004479791969060898
|
||||
18,2,18.0,7.779478172764698e-09,-0.0015477652772308585,0.00011980719864368439,0.00010108202695846558,9.591615347526172e-07,-0.001960138790309429,-0.00011981278657913208,-0.0001010717824101448,0.0026853615418076515,0.00042929593473672867,0.0003578970208764076
|
||||
19,1,18.5,1.0115823734224705e-08,-0.0015477747316547663,0.00011577177792787552,9.778235107660294e-05,1.1382919499203226e-06,-0.001959627028554678,-0.00011577224358916283,-9.777536615729332e-05,0.002648819237947464,0.0004100445657968521,0.0003434009850025177
|
||||
19,2,19.0,9.594118610678493e-09,-0.0015477738185972504,0.00011185649782419205,9.45916399359703e-05,8.908682038732962e-07,-0.0019600135274231434,-0.0001118597574532032,-9.458651766180992e-05,0.0026350892148911953,0.0003254576586186886,0.00026165833696722984
|
||||
20,1,19.5,8.744199350707582e-09,-0.0015477812550560438,0.00010816752910614014,9.154155850410461e-05,1.0807081907149296e-06,-0.001959587913006544,-0.0001081652007997036,-9.154481813311577e-05,0.0025749970227479935,0.0002942616119980812,0.00023942533880472183
|
||||
20,2,20.0,7.241793387180451e-09,-0.0015478027222764852,0.00010451860725879669,8.863583207130432e-05,9.283607647070369e-07,-0.0019599981606006622,-0.00010452233254909515,-8.862745016813278e-05,0.002547156997025013,0.00022500474005937576,0.0001754332333803177
|
||||
21,1,20.5,9.080666218963529e-09,-0.0015478099147822168,0.00010123103857040405,8.586794137954712e-05,1.0566826715852073e-06,-0.0019596004858613014,-0.00010123662650585175,-8.586607873439789e-05,0.0024467245675623417,0.0001708432100713253,0.0001354874111711979
|
||||
21,2,21.0,8.309436028142159e-09,-0.001547811782321707,9.799562394618988e-05,8.317828178405762e-05,9.359370445327642e-07,-0.0019598989747464657,-9.798770770430565e-05,-8.317967876791954e-05,0.0023957067169249058,0.0001242239959537983,9.476905688643456e-05
|
||||
22,1,21.5,8.807171658631319e-09,-0.0015478071837582907,9.528174996376038e-05,8.07885080575943e-05,1.0299947542646848e-06,-0.001959493849426508,-9.528035297989845e-05,-8.077593520283699e-05,0.0022453111596405506,3.82973812520504e-05,2.8362032026052475e-05
|
||||
22,2,22.0,7.708700941466695e-09,-0.0015478350620986127,9.280815720558167e-05,7.856637239456177e-05,9.84289633354507e-07,-0.0019597294740378857,-9.280489757657051e-05,-7.857801392674446e-05,0.0021656760945916176,1.8442049622535706e-05,1.2994743883609772e-05
|
||||
23,1,22.5,5.829010607527607e-09,-0.0015478298144738873,9.077228605747223e-05,7.675401866436005e-05,1.0561968476485717e-06,-0.0019593103788793087,-9.077740833163261e-05,-7.675448432564735e-05,0.001967994961887598,-0.00010093534365296364,-8.322251960635185e-05
|
||||
23,2,23.0,1.00678847481106e-08,-0.0015478396129139588,8.917506784200668e-05,7.518846541643143e-05,9.189075473869934e-07,-0.001959436573088169,-8.916761726140976e-05,-7.51987099647522e-05,0.0018595317378640175,-9.398628026247025e-05,-7.435213774442673e-05
|
||||
24,1,23.5,9.096645881001564e-09,-0.0015478476094394076,8.79606232047081e-05,7.397029548883438e-05,9.397743796490943e-07,-0.0019590607844293118,-8.79545696079731e-05,-7.396889850497246e-05,0.0016328254714608192,-0.00023874826729297638,-0.00019633769989013672
|
||||
24,2,24.0,8.815424390462567e-09,-0.001547844811637395,8.694268763065338e-05,7.304549217224121e-05,9.335749210359623e-07,-0.001959147397428751,-8.693570271134377e-05,-7.305433973670006e-05,0.0015028249472379684,-0.0002091461792588234,-0.00016683153808116913
|
||||
|
@@ -1,73 +0,0 @@
|
||||
step,level,substep,max_error,max_ratio,regime,drift_m,drift_px,drift_py,ideal_defect_m,ideal_defect_px,ideal_defect_py,measured_rounding_m,measured_rounding_px,measured_rounding_py
|
||||
1,fine,1,8.229037262719174e-08,0.3569820693406681,True,1.626182347536087e-05,-3.3527612686157227e-08,-1.7695128917694092e-08,-3.0010716134398763e-16,-1.214306433183765e-17,-1.734723475976807e-18,1.6261823475660978e-05,-3.352761267401416e-08,-1.7695128915959368e-08
|
||||
1,fine,2,5.173531247848473e-08,0.2677766155245442,True,-3.394670784473419e-07,1.3969838619232178e-09,1.7229467630386353e-08,-5.745404152435185e-15,-1.0408340855860843e-17,5.898059818321144e-17,-3.3946707270193777e-07,1.3969838723315586e-09,1.7229467571405754e-08
|
||||
1,coarse,1,1.1080350609260492e-08,0.10456730670501622,True,-1.5292316675186157e-06,-1.30385160446167e-08,-1.5832483768463135e-07,-4.288236432614667e-15,-5.551115123125783e-17,1.3877787807814457e-17,-1.5292316632303793e-06,-1.3038515989105548e-08,-1.5832483769850914e-07
|
||||
2,fine,1,9.892327201832529e-08,0.29769478490638285,True,9.881332516670227e-07,-3.3527612686157227e-08,-1.993030309677124e-07,-5.195496810550537e-15,-2.949029909160572e-17,2.1337098754514727e-16,9.881332568625195e-07,-3.352761265666693e-08,-1.993030311810834e-07
|
||||
2,fine,2,8.832159215099722e-08,0.3121116042355555,True,2.668239176273346e-06,-4.284083843231201e-08,1.2852251529693604e-07,-1.1539380562197721e-14,-1.457167719820518e-16,2.2898349882893854e-16,2.6682391878127265e-06,-4.284083828659524e-08,1.2852251506795254e-07
|
||||
2,coarse,1,1.6365805183271576e-08,0.1544470929589978,True,-1.426786184310913e-06,-3.0919909477233887e-07,-3.0919909477233887e-07,-6.286637876939949e-15,-8.326672684688674e-17,-8.326672684688674e-17,-1.4267861780242752e-06,-3.0919909468907214e-07,-3.0919909468907214e-07
|
||||
3,fine,1,8.23703105723439e-08,0.31152334896616624,True,4.902016371488571e-06,1.5227124094963074e-07,1.280568540096283e-07,-1.1922754450388595e-14,9.540979117872439e-17,3.452099717193846e-16,4.902016383411326e-06,1.5227124085422095e-07,1.2805685366441832e-07
|
||||
3,fine,2,1.0607572520360264e-07,0.3828123813437159,True,8.435919880867004e-06,7.35744833946228e-08,-3.259629011154175e-08,-1.7525911277793682e-14,9.540979117872439e-17,3.5561831257524545e-16,8.435919898392916e-06,7.357448329921301e-08,-3.259629046716006e-08
|
||||
3,coarse,1,1.0010523732173482e-07,0.2854567053212911,True,9.115785360336304e-06,3.3155083656311035e-07,3.203749656677246e-07,-3.837208328860697e-15,1.5334955527634975e-15,1.2420620087993939e-15,9.115785364173512e-06,3.315508350296148e-07,3.203749644256626e-07
|
||||
4,fine,1,9.437402781475868e-08,0.3632811360585352,True,1.0774470865726471e-05,2.8405338525772095e-07,3.0174851417541504e-07,-2.0582494042464816e-14,2.411265631607762e-16,2.7929047963226594e-16,1.0774470886308965e-05,2.840533850165944e-07,3.0174851389612456e-07
|
||||
4,fine,2,1.411709008580786e-07,0.4323516759917293,True,1.1160969734191895e-05,2.169981598854065e-07,5.774199962615967e-08,-1.6453852169640015e-14,-5.533767888366015e-16,-4.2847669856627135e-16,1.1160969750645747e-05,2.1699816043878328e-07,5.7742000054636367e-08
|
||||
4,coarse,1,1.2150177930436712e-07,0.37139422446265463,True,1.3064593076705933e-05,5.997717380523682e-07,5.62518835067749e-07,-1.2559397966072083e-14,-5.967448757360216e-16,-2.498001805406602e-16,1.306459308926533e-05,5.99771738649113e-07,5.625188353175492e-07
|
||||
5,fine,1,1.2376571800754022e-07,0.4335945297787668,True,1.0852236300706863e-05,-3.022141754627228e-07,-3.1618401408195496e-07,-1.5610776560315287e-14,5.377642775528102e-17,-3.625572064791527e-16,1.085223631631764e-05,-3.022141755164992e-07,-3.1618401371939775e-07
|
||||
5,fine,2,1.2417755734794866e-07,0.3644862055932074,True,8.977483958005905e-06,-2.621673047542572e-07,-7.031485438346863e-08,-1.519617764955683e-14,-1.8041124150158794e-16,8.430756093247282e-16,8.977483973202083e-06,-2.6216730457384596e-07,-7.031485522654424e-08
|
||||
5,coarse,1,1.2532259030528792e-07,0.38942307019337585,True,1.49458646774292e-05,9.723007678985596e-07,1.2628734111785889e-06,-1.6535384173010925e-14,1.5959455978986625e-16,6.175615574477433e-16,1.4945864693964583e-05,9.72300767738965e-07,1.2628734105610273e-06
|
||||
6,fine,1,9.483337493065847e-08,0.32226540864225656,True,6.834045052528381e-06,4.284083843231201e-08,-1.0244548320770264e-07,-1.4689638394571602e-14,1.1102230246251565e-16,2.914335439641036e-16,6.83404506721802e-06,4.284083832128971e-08,-1.0244548349913618e-07
|
||||
6,fine,2,1.1486422213380365e-07,0.36328113343919116,True,6.2193721532821655e-06,-4.190951585769653e-08,-1.30385160446167e-08,-1.437044927499187e-14,1.7694179454963432e-16,-1.0408340855860843e-17,6.219372167652615e-06,-4.190951603463833e-08,-1.3038516034208358e-08
|
||||
6,coarse,1,1.0239773140519048e-07,0.43028837580529966,True,1.383945345878601e-05,4.954636096954346e-07,4.284083843231201e-07,-2.0011770018868447e-14,3.191891195797325e-16,1.0269562977782698e-15,1.383945347879778e-05,4.954636093762455e-07,4.284083832961638e-07
|
||||
7,fine,1,1.1381071352012384e-07,0.39830750519457453,True,5.2102841436862946e-06,-2.0023435354232788e-08,-1.0477378964424133e-07,-1.6167622796103842e-14,9.020562075079397e-17,0.0,5.210284159853917e-06,-2.002343544443841e-08,-1.0477378964424133e-07
|
||||
7,fine,2,1.1557639800763297e-07,0.4252975630997776,True,4.476867616176605e-06,-1.2479722499847412e-07,4.0046870708465576e-08,-1.4878723253453074e-14,8.673617379884035e-18,4.388850394221322e-16,4.4768676310553285e-06,-1.2479722500714774e-07,4.004687026958054e-08
|
||||
7,coarse,1,1.0902046165828239e-07,0.38161058826685446,True,1.321360468864441e-05,9.126961231231689e-07,-2.086162567138672e-07,-2.4445723223465166e-14,-5.898059818321144e-16,-3.122502256758253e-16,1.3213604713090132e-05,9.126961237129749e-07,-2.0861625640161696e-07
|
||||
8,fine,1,1.2369974378145798e-07,0.3659033398608433,True,4.209578037261963e-06,-1.2479722499847412e-07,-2.421438694000244e-08,-1.5269036035547856e-14,-1.4224732503009818e-16,-7.28583859910259e-17,4.209578052530999e-06,-1.247972248562268e-07,-2.4214386867144055e-08
|
||||
8,fine,2,1.3039186863572638e-07,0.3566417233064843,True,4.0014274418354034e-06,5.075708031654358e-08,-1.6298145055770874e-08,-1.6002824065886045e-14,-2.949029909160572e-17,-2.5153490401663703e-16,4.0014274578382275e-06,5.075708034603388e-08,-1.629814480423597e-08
|
||||
8,coarse,1,1.265961931951054e-07,0.38341345468786764,True,9.08784568309784e-06,6.09084963798523e-07,-5.979090929031372e-07,-2.2336299476677368e-14,-1.4224732503009818e-15,2.0816681711721685e-17,9.087845705434139e-06,6.090849652209962e-07,-5.979090929239539e-07
|
||||
9,fine,1,1.1700286717264419e-07,0.42325024900493485,True,2.2551976144313812e-06,-1.150183379650116e-07,-3.026798367500305e-08,-1.5406079190150024e-14,6.418476861114186e-17,2.6194324487249787e-16,2.2551976298374604e-06,-1.1501833802919637e-07,-3.0267983936946297e-08
|
||||
9,fine,2,1.05960657470483e-07,0.3591277749177671,True,3.159046173095703e-06,-5.8673322200775146e-08,-1.471489667892456e-07,-1.5987211554602254e-14,-6.245004513516506e-17,-2.0816681711721685e-17,3.1590461890829147e-06,-5.86733221383251e-08,-1.4714896676842892e-07
|
||||
9,coarse,1,1.1063907701114317e-07,0.4156431955412631,True,5.3513795137405396e-06,-3.1478703022003174e-07,-5.345791578292847e-07,-2.5042468099201187e-14,1.0408340855860843e-16,-2.2898349882893854e-16,5.351379538783008e-06,-3.1478703032411515e-07,-5.345791576003012e-07
|
||||
10,fine,1,1.6477090769573266e-07,0.3991506368171169,True,2.605374902486801e-06,1.2619420886039734e-07,6.007030606269836e-08,-1.5024440025435126e-14,-3.2786273695961654e-16,-2.8622937353617317e-16,2.605374917511241e-06,1.2619420918826008e-07,6.007030634892774e-08
|
||||
10,fine,2,1.233670676725751e-07,0.3467327260376902,True,2.4153850972652435e-06,-1.5133991837501526e-07,-1.19674950838089e-07,-1.5607307113363333e-14,-1.9949319973733282e-16,4.631711680858075e-16,2.4153851128725506e-06,-1.5133991817552206e-07,-1.1967495130126016e-07
|
||||
10,coarse,1,1.3984166169489498e-07,0.4038458162128909,True,6.22868537902832e-06,-2.942979335784912e-07,3.725290298461914e-09,-2.3592239273284576e-14,-4.163336342344337e-16,1.1657341758564144e-15,6.22868540262056e-06,-2.942979331621576e-07,3.725289132727738e-09
|
||||
11,fine,1,1.1264907540109448e-07,0.37435057774799535,True,1.6032718122005463e-06,4.190951585769653e-09,2.9336661100387573e-08,-1.5607307113363333e-14,2.723515857283587e-16,-1.0234868508263162e-16,1.6032718278078534e-06,4.190951313418068e-09,2.9336661202736258e-08
|
||||
11,fine,2,1.3385929209519531e-07,0.4296446436631812,True,1.1781230568885803e-06,2.3469328880310059e-07,1.126900315284729e-07,-1.665854953980528e-14,2.0296264668928643e-16,3.2959746043559335e-17,1.1781230735471299e-06,2.3469328860013794e-07,1.1269003149551315e-07
|
||||
11,coarse,1,1.2484760447684096e-07,0.3737977990108256,True,1.9688159227371216e-06,-6.146728992462158e-08,-2.421438694000244e-08,-2.295386103412511e-14,-1.5265566588595902e-16,-9.575673587391975e-16,1.9688159456909826e-06,-6.146728977196592e-08,-2.4214385982435083e-08
|
||||
12,fine,1,1.1342225503252479e-07,0.3929712248585018,True,2.9103830456733704e-06,1.1827796697616577e-07,1.6670674085617065e-07,-1.6981208106336965e-14,2.5153490401663703e-16,1.0234868508263162e-16,2.9103830626545785e-06,1.1827796672463087e-07,1.6670674075382197e-07
|
||||
12,fine,2,1.2337913590787508e-07,0.3632480304781915,True,2.22865492105484e-06,7.450580596923828e-09,1.3690441846847534e-07,-1.7019372022808454e-14,-1.9081958235744878e-17,1.6479873021779667e-16,2.228654938074212e-06,7.450580616005786e-09,1.369044183036766e-07
|
||||
12,coarse,1,1.0392955884785948e-07,0.34435036745116887,True,4.416331648826599e-06,8.009374141693115e-08,-7.264316082000732e-08,-2.665923037881157e-14,1.942890293094024e-16,3.3306690738754696e-16,4.4163316754858295e-06,8.009374122264212e-08,-7.264316115307423e-08
|
||||
13,fine,1,1.120637568297056e-07,0.3794727716066827,True,1.1702068150043488e-06,-1.4016404747962952e-07,-1.0477378964424133e-07,-1.6571813366006438e-14,8.153200337090993e-17,-1.0928757898653885e-16,1.1702068315761621e-06,-1.4016404756116152e-07,-1.0477378953495375e-07
|
||||
13,fine,2,1.1608141914365433e-07,0.3684207409368108,True,1.93621963262558e-06,-2.1979212760925293e-07,-7.543712854385376e-08,-1.696733031852915e-14,1.5612511283791264e-17,4.0072112295064244e-16,1.93621964959291e-06,-2.1979212762486544e-07,-7.543712894457488e-08
|
||||
13,coarse,1,1.1553440504297185e-07,0.413461159221051,True,2.12155282497406e-06,9.872019290924072e-08,3.1851232051849365e-07,-2.4966140266258208e-14,1.0685896612017132e-15,3.885780586188048e-16,2.1215528499402003e-06,9.872019184065106e-08,3.185123201299156e-07
|
||||
14,fine,1,1.3012184874039434e-07,0.4470057319678252,True,2.093147486448288e-06,-2.7474015951156616e-08,1.816079020500183e-08,-1.6941309466389498e-14,2.0469737016526324e-16,-2.393918396847994e-16,2.0931475033895974e-06,-2.7474016155853986e-08,1.816079044439367e-08
|
||||
14,fine,2,1.161938236737825e-07,0.43455223301865037,True,2.180226147174835e-06,1.6577541828155518e-07,3.166496753692627e-08,-1.662038562333379e-14,-3.139849491518021e-16,-5.724587470723463e-17,2.180226163795221e-06,1.6577541859554012e-07,3.1664967594172144e-08
|
||||
14,coarse,1,1.171716388359556e-07,0.34014613609932465,True,3.285706043243408e-06,5.21540641784668e-08,-8.940696716308594e-08,-2.5222879340702775e-14,2.0122792321330962e-16,-3.95516952522712e-16,3.2857060684662875e-06,5.2154063977238874e-08,-8.940696676756898e-08
|
||||
15,fine,1,1.188765739179587e-07,0.3778719310571328,True,2.386048436164856e-06,1.0989606380462646e-07,4.190951585769653e-08,-1.6297727056802103e-14,3.0010716134398763e-16,5.0306980803327406e-17,2.386048452462583e-06,1.098960635045193e-07,4.190951580738955e-08
|
||||
15,fine,2,1.2815464434101642e-07,0.3887039950605819,True,2.2151507437229156e-06,5.3551048040390015e-08,1.5599653124809265e-07,-1.6632528687665626e-14,-3.469446951953614e-17,-2.220446049250313e-16,2.2151507603554443e-06,5.3551048075084484e-08,1.5599653147013726e-07
|
||||
15,coarse,1,1.132467172260121e-07,0.3798076391349909,True,4.431232810020447e-06,-6.891787052154541e-08,-4.6566128730773926e-08,-2.4917568008930857e-14,5.898059818321144e-16,7.008282842946301e-16,4.431232834938015e-06,-6.891787111135139e-08,-4.656612943160221e-08
|
||||
16,fine,1,1.1449205894464853e-07,0.4232816528057199,True,1.267995685338974e-06,7.962808012962341e-08,8.89413058757782e-08,-1.7224069392973718e-14,1.9255430583342559e-16,2.3071822230491534e-16,1.2679957025630434e-06,7.962807993706911e-08,8.894130564505998e-08
|
||||
16,fine,2,1.1465035798519096e-07,0.38660659294745114,True,1.61072239279747e-06,2.0070001482963562e-07,8.242204785346985e-08,-1.688579831515824e-14,2.0816681711721685e-16,-3.95516952522712e-16,1.6107224096832684e-06,2.007000146214688e-07,8.24220482489868e-08
|
||||
16,coarse,1,1.026492656430733e-07,0.39551928594354874,True,4.755333065986633e-06,2.8870999813079834e-07,-1.30385160446167e-08,-2.5340840537069198e-14,8.465450562766819e-16,-1.4988010832439613e-15,4.755333091327474e-06,2.887099972842533e-07,-1.3038514545815616e-08
|
||||
17,fine,1,1.4306400941688224e-07,0.3804206132029011,True,2.477318048477173e-06,2.952292561531067e-07,2.1420419216156006e-07,-1.6018436577169837e-14,1.1102230246251565e-16,-2.498001805406602e-16,2.4773180644956094e-06,2.952292560420844e-07,2.1420419241136024e-07
|
||||
17,fine,2,1.206053866775747e-07,0.40931703720753354,True,2.6957131922245026e-06,3.655441105365753e-07,1.7834827303886414e-07,-1.704365815147213e-14,3.382710778154774e-16,-1.43982048506075e-16,2.6957132092681607e-06,3.6554411019830424e-07,1.7834827318284618e-07
|
||||
17,coarse,1,1.3320810943184824e-07,0.4098554436464823,True,4.893168807029724e-06,2.3655593395233154e-07,3.632158041000366e-07,-2.93723378952393e-14,-4.649058915617843e-16,4.2327252813834093e-16,4.893168836402062e-06,2.3655593441723743e-07,3.632158036767641e-07
|
||||
18,fine,1,1.1518374609664761e-07,0.37525164303996766,True,3.0049122869968414e-06,2.92900949716568e-07,2.4633482098579407e-07,-1.704365815147213e-14,-1.474514954580286e-16,5.724587470723463e-17,3.0049123040404996e-06,2.929009498640195e-07,2.463348209285482e-07
|
||||
18,fine,2,1.5383020013359783e-07,0.4339170567027524,True,2.28220596909523e-06,3.2549723982810974e-07,2.48197466135025e-07,-1.700029006457271e-14,-1.214306433183765e-16,-3.122502256758253e-16,2.28220598609552e-06,3.254972399495404e-07,2.4819746644727525e-07
|
||||
18,coarse,1,1.4574858631100085e-07,0.42004802685791165,True,4.898756742477417e-06,-1.564621925354004e-07,-2.123415470123291e-07,-2.679106936298581e-14,1.457167719820518e-16,-4.85722573273506e-17,4.898756769268486e-06,-1.5646219268111716e-07,-2.1234154696375684e-07
|
||||
19,fine,1,1.1289196333308382e-07,0.4426868958150174,True,2.4051405489444733e-06,3.8230791687965393e-07,4.23286110162735e-07,-1.7246620798161416e-14,-5.447031714567174e-16,-2.42861286636753e-16,2.405140566191094e-06,3.823079174243571e-07,4.2328611040559627e-07
|
||||
19,fine,2,1.3318459290978524e-07,0.4458767766498759,True,2.4051405489444733e-06,-1.3504177331924438e-08,-1.6298145055770874e-08,-1.6679366221517e-14,-1.8561541192951836e-16,4.683753385137379e-17,2.4051405656238395e-06,-1.3504177146309027e-08,-1.6298145102608408e-08
|
||||
19,coarse,1,1.3627775263813646e-07,0.37598585924709055,True,6.38328492641449e-06,-2.514570951461792e-07,2.1792948246002197e-07,-2.724209746673978e-14,-7.91033905045424e-16,-1.3877787807814457e-17,6.383284953656587e-06,-2.514570943551453e-07,2.1792948247389976e-07
|
||||
20,fine,1,1.2067538701643343e-07,0.397654453667931,True,3.3676624298095703e-06,-7.636845111846924e-08,8.195638656616211e-08,-1.6471199404399783e-14,1.0581813203458523e-16,7.806255641895632e-17,3.3676624462807697e-06,-7.636845122428737e-08,8.195638648809955e-08
|
||||
20,fine,2,1.1349498318935503e-07,0.4276325956343959,True,3.5767443478107452e-06,-7.869675755500793e-08,6.565824151039124e-08,-1.5959455978986625e-14,9.020562075079397e-17,5.898059818321144e-17,3.5767443637702012e-06,-7.869675764521356e-08,6.565824145141064e-08
|
||||
20,coarse,1,1.5850306378517587e-07,0.5285112236646456,True,3.5408884286880493e-06,-1.993030309677124e-07,-3.7066638469696045e-07,-2.525757381022231e-14,7.91033905045424e-16,-2.3592239273284576e-16,3.540888453945623e-06,-1.993030317587463e-07,-3.7066638446103806e-07
|
||||
21,fine,1,1.2747028055315468e-07,0.3807671146447972,True,3.180466592311859e-06,-9.872019290924072e-08,-4.377216100692749e-08,-1.619537837171947e-14,5.204170427930421e-17,-1.4224732503009818e-16,3.1804666085072375e-06,-9.872019296128243e-08,-4.3772160864680165e-08
|
||||
21,fine,2,1.1436689684174439e-07,0.41457208617159613,True,2.8158538043498993e-06,-4.516914486885071e-08,3.119930624961853e-08,-1.622833811776303e-14,-2.0296264668928643e-16,-1.7867651802561113e-16,2.8158538205782374e-06,-4.516914466588806e-08,3.119930642829505e-08
|
||||
21,coarse,1,1.3219836714206679e-07,0.4111722561110483,True,5.48921525478363e-06,-9.816139936447144e-07,-5.345791578292847e-07,-2.7602919949742954e-14,4.0245584642661925e-16,2.7755575615628914e-16,5.48921528238655e-06,-9.816139940471702e-07,-5.345791581068404e-07
|
||||
22,fine,1,1.247986221031283e-07,0.4025936491208882,True,2.5955960154533386e-06,-1.1734664440155029e-07,7.636845111846924e-08,-1.670712179713263e-14,2.0643209364124004e-16,-1.196959198423997e-16,2.5955960321604604e-06,-1.1734664460798239e-07,7.636845123816516e-08
|
||||
22,fine,2,1.2467687349193568e-07,0.4026463456064581,True,2.169981598854065e-06,-2.0023435354232788e-07,-2.5331974029541016e-07,-1.5954251808558695e-14,4.336808689942018e-17,8.847089727481716e-17,2.1699816148083167e-06,-2.0023435358569597e-07,-2.5331974038388105e-07
|
||||
22,coarse,1,1.303169513411362e-07,0.4534581358023719,True,4.8317015171051025e-06,-1.4826655387878418e-06,-8.456408977508545e-07,-2.6728619317850644e-14,-9.71445146547012e-17,-4.163336342344337e-16,4.831701543833722e-06,-1.4826655386906973e-06,-8.456408973345209e-07
|
||||
23,fine,1,1.1580148451262318e-07,0.3892248238329876,True,2.83215194940567e-06,-4.284083843231201e-08,-1.3317912817001343e-07,-1.7317744460676465e-14,2.2551405187698492e-17,-3.9898639947466563e-17,2.8321519667234146e-06,-4.284083845486342e-08,-1.331791281301148e-07
|
||||
23,fine,2,1.4772394407724931e-07,0.44883956143532583,True,2.432148903608322e-06,-1.0570511221885681e-07,-3.306195139884949e-08,-1.628211454551831e-14,4.85722573273506e-17,1.1796119636642288e-16,2.4321489198904367e-06,-1.0570511226742907e-07,-3.3061951516810684e-08
|
||||
23,coarse,1,1.4415727089822639e-07,0.46236304392819116,True,8.864328265190125e-06,-8.624047040939331e-07,-5.19677996635437e-07,-2.839395385478838e-14,-3.7470027081099033e-16,-1.0269562977782698e-15,8.864328293584078e-06,-8.624047037192328e-07,-5.196779956084807e-07
|
||||
24,fine,1,1.1816075007331506e-07,0.40334771123509106,True,2.196524292230606e-06,-5.2619725465774536e-08,-1.327134668827057e-07,-1.619537837171947e-14,3.400058012914542e-16,7.979727989493313e-17,2.1965243084259845e-06,-5.261972580578034e-08,-1.3271346696250297e-07
|
||||
24,fine,2,1.2605529897680157e-07,0.4651221485857391,True,2.941582351922989e-06,-2.2584572434425354e-07,6.05359673500061e-09,-1.802204219192305e-14,-2.5153490401663703e-16,2.3418766925686896e-16,2.941582369945031e-06,-2.2584572409271864e-07,6.053596500812941e-09
|
||||
24,coarse,1,1.573361411155716e-07,0.43294013951653565,True,9.939074516296387e-06,-2.905726432800293e-07,1.4156103134155273e-07,-2.768618667658984e-14,-1.6653345369377348e-16,1.1102230246251565e-15,9.939074543982573e-06,-2.9057264311349584e-07,1.415610302313297e-07
|
||||
|
@@ -1,25 +0,0 @@
|
||||
step,time,average_bound_ratio,leaf_m,leaf_px,leaf_py,delta_m,delta_px,delta_py,boundary_m,boundary_px,boundary_py,fine_transfer_m,fine_transfer_px,fine_transfer_py,coarse_transfer_m,coarse_transfer_px,coarse_transfer_py,raw_m,raw_px,raw_py,collision_drift_m,collision_drift_px,collision_drift_py,average_rounding_m,average_rounding_px,average_rounding_py,closure_m,closure_px,closure_py,cumulative_raw_m,cumulative_raw_px,cumulative_raw_py,cumulative_closure_m,cumulative_closure_px,cumulative_closure_py
|
||||
1,1,0.28124994289828603,560.7465738453902,-0.0016551441513001919,-0.001416988205164671,-0.003430332522839308,-0.0016551441513001919,-0.001416988205164671,-0.0034449007362127304,-0.0016550971195101738,-0.001416652463376522,-3.557652235031128e-07,0.0,0.0,5.308538675308228e-07,-1.862645149230957e-09,-1.7695128917694092e-07,1.4393124729394913e-05,-4.516914486885071e-08,-1.587904989719391e-07,1.4393124729394913e-05,-4.516914486885071e-08,-1.587904989719391e-07,1.7508864402770996e-07,-1.862645149230957e-09,-1.7695128917694092e-07,0.0,0.0,0.0,1.4393124729394913e-05,-4.516914486885071e-08,-1.587904989719391e-07,0.0,0.0,0.0
|
||||
2,2,0.37499987985940486,560.7428558217362,-0.003098900429904461,-0.0026293257251381874,-0.003718023654073477,-0.001443756278604269,-0.0012123375199735165,-0.0037200921215116978,-0.0014432151801884174,-0.001211958471685648,-2.193264663219452e-06,-4.6566128730773926e-09,-1.685693860054016e-07,2.032145857810974e-06,-1.5087425708770752e-07,1.695007085800171e-07,2.2295862436294556e-06,-3.855675458908081e-07,-3.7997961044311523e-07,2.2295862436294556e-06,-3.855675458908081e-07,-3.7997961044311523e-07,-1.6111880540847778e-07,-1.555308699607849e-07,9.313225746154785e-10,0.0,0.0,0.0,1.6622710973024368e-05,-4.307366907596588e-07,-5.387701094150543e-07,0.0,0.0,0.0
|
||||
3,3,0.2812499146093721,560.739008476492,-0.004490140359848738,-0.0038015726022422314,-0.003847345244139433,-0.0013912399299442768,-0.001172246877104044,-0.0038698003627359867,-0.0013918033801019192,-0.001172670628875494,-3.6400742828845978e-06,4.698522388935089e-07,4.6798959374427795e-07,3.641471266746521e-06,-4.637986421585083e-07,-4.600733518600464e-07,2.245372161269188e-05,5.573965609073639e-07,4.1583552956581116e-07,2.245372161269188e-05,5.573965609073639e-07,4.1583552956581116e-07,1.3969838619232178e-09,6.05359673500061e-09,7.916241884231567e-09,0.0,0.0,0.0,3.907643258571625e-05,1.2665987014770508e-07,-1.2293457984924316e-07,0.0,0.0,0.0
|
||||
4,4,0.37499987985940486,560.7351214168593,-0.005752546712756157,-0.004868627525866032,-0.0038870596326887608,-0.0012624063529074192,-0.0010670549236238003,-0.003921949304640293,-0.0012635616585612297,-0.001068035140633583,-6.910879164934158e-06,3.1711533665657043e-07,3.9534643292427063e-07,6.800517439842224e-06,-2.6263296604156494e-07,-3.371387720108032e-07,3.50000336766243e-05,1.1008232831954956e-06,9.220093488693237e-07,3.50000336766243e-05,1.1008232831954956e-06,9.220093488693237e-07,-1.103617250919342e-07,5.448237061500549e-08,5.820766091346741e-08,0.0,0.0,0.0,7.407646626234055e-05,1.2274831533432007e-06,7.990747690200806e-07,0.0,0.0,0.0
|
||||
5,5,0.3749998295680158,560.7312193890102,-0.006873782258480787,-0.0058157010935246944,-0.0039020278491079807,-0.0011212355457246304,-0.0009470735676586628,-0.003936932887881994,-0.001121701207011938,-0.0009480114094913006,-7.287599146366119e-06,1.0672956705093384e-06,4.637986421585083e-07,7.417052984237671e-06,-1.0095536708831787e-06,-4.023313522338867e-07,3.477558493614197e-05,4.079192876815796e-07,8.763745427131653e-07,3.477558493614197e-05,4.079192876815796e-07,8.763745427131653e-07,1.2945383787155151e-07,5.774199962615967e-08,6.146728992462158e-08,0.0,0.0,0.0,0.00010885205119848251,1.6354024410247803e-06,1.6754493117332458e-06,0.0,0.0,0.0
|
||||
6,6,0.46874973195382685,560.7273077829741,-0.007863933686167002,-0.0066518173553049564,-0.003911606036126614,-0.0009901514276862144,-0.000836116261780262,-0.003938451875001192,-0.0009906026534736156,-0.0008363532833755016,-4.966277629137039e-06,1.1599622666835785e-06,1.234002411365509e-07,4.9192458391189575e-06,-1.2051314115524292e-06,-1.993030309677124e-07,2.6892870664596558e-05,4.9639493227005e-07,3.129243850708008e-07,2.6892870664596558e-05,4.9639493227005e-07,3.129243850708008e-07,-4.7031790018081665e-08,-4.516914486885071e-08,-7.59027898311615e-08,0.0,0.0,0.0,0.00013574492186307907,2.1317973732948303e-06,1.9883736968040466e-06,0.0,0.0,0.0
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||||
7,7,0.4687521208060999,560.7233943245374,-0.008734654169529676,-0.0073870024643838406,-0.003913458436727524,-0.0008707204833626747,-0.0007351851090788841,-0.003936384338885546,-0.0008714343421161175,-0.0007349248044192791,1.7766840755939484e-05,1.440197229385376e-05,7.420778274536133e-06,-1.7741695046424866e-05,-1.4455989003181458e-05,-7.407739758491516e-06,2.290075644850731e-05,7.67875462770462e-07,-2.7334317564964294e-07,2.290075644850731e-05,7.67875462770462e-07,-2.7334317564964294e-07,2.514570951461792e-08,-5.4016709327697754e-08,1.30385160446167e-08,0.0,0.0,0.0,0.00015864567831158638,2.8996728360652924e-06,1.7150305211544037e-06,0.0,0.0,0.0
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||||
8,8,0.4687808518052075,560.7194780893624,-0.009498408995568752,-0.008031456731259823,-0.00391623517498374,-0.0007637548260390759,-0.0006444542668759823,-0.003933582454919815,-0.0007642609998583794,-0.0006437832489609718,0.00016007013618946075,8.850079029798508e-05,5.473848432302475e-05,-0.00016002170741558075,-8.852966129779816e-05,-5.477108061313629e-05,1.7298851162195206e-05,5.350448191165924e-07,-6.384216248989105e-07,1.7298851162195206e-05,5.350448191165924e-07,-6.384216248989105e-07,4.842877388000488e-08,-2.8870999813079834e-08,-3.259629011154175e-08,0.0,0.0,0.0,0.00017594452947378159,3.4347176551818848e-06,1.0766088962554932e-06,0.0,0.0,0.0
|
||||
9,9,0.46888398548910104,560.7155580227263,-0.010167959611862898,-0.008595113176852465,-0.003920066636055708,-0.0006695506162941456,-0.0005636564455926418,-0.003930842503905296,-0.0006690975278615952,-0.0005629975348711014,0.0006066383793950081,0.0002762451767921448,0.00018928851932287216,-0.0006066281348466873,-0.0002762097865343094,-0.00018923543393611908,1.0765623301267624e-05,-4.884786903858185e-07,-7.119961082935333e-07,1.0765623301267624e-05,-4.884786903858185e-07,-7.119961082935333e-07,1.0244548320770264e-08,3.5390257835388184e-08,5.3085386753082275e-08,0.0,0.0,0.0,0.0001867101527750492,2.9462389647960663e-06,3.6461278796195984e-07,0.0,0.0,0.0
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||||
10,10,0.46903176896324594,560.7116407523863,-0.01075396640226245,-0.009087595622986555,-0.003917270340025425,-0.0005860067903995514,-0.0004924824461340904,-0.0039285351522266865,-0.0005857185460627079,-0.0004924158565700054,0.001471752766519785,0.0005768421106040478,0.0004282691515982151,-0.0014717373996973038,-0.0005768109112977982,-0.0004282798618078232,1.1249445378780365e-05,-3.1944364309310913e-07,-5.587935447692871e-08,1.1249445378780365e-05,-3.1944364309310913e-07,-5.587935447692871e-08,1.5366822481155396e-08,3.119930624961853e-08,-1.0710209608078003e-08,0.0,0.0,0.0,0.00019795959815382957,2.626795321702957e-06,3.0873343348503113e-07,0.0,0.0,0.0
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||||
11,11,0.4691126134417028,560.7077189418487,-0.011267102789133787,-0.009519137907773256,-0.003921810537576675,-0.0005131363868713379,-0.0004315422847867012,-0.003926586825400591,-0.0005133007653057575,-0.0004316861741244793,0.0026394762098789215,0.0009217467159032822,0.0007308274507522583,-0.0026394501328468323,-0.0009217597544193268,-0.0007308013737201691,4.750210791826248e-06,1.7741695046424866e-07,1.1781230568885803e-07,4.750210791826248e-06,1.7741695046424866e-07,1.1781230568885803e-07,2.60770320892334e-08,-1.30385160446167e-08,2.60770320892334e-08,0.0,0.0,0.0,0.00020270980894565582,2.804212272167206e-06,4.2654573917388916e-07,0.0,0.0,0.0
|
||||
12,12,0.46901560970475215,560.7038032673299,-0.011718058958649635,-0.009898302145302296,-0.003915674518793821,-0.00045095616951584816,-0.0003791642375290394,-0.0039251805283129215,-0.00045116664841771126,-0.00037938589230179787,0.003811669535934925,0.0012245913967490196,0.0010236278176307678,-0.0038117188960313797,-0.0012245867401361465,-0.001023637130856514,9.55536961555481e-06,2.0582228899002075e-07,2.3096799850463867e-07,9.55536961555481e-06,2.0582228899002075e-07,2.3096799850463867e-07,-4.936009645462036e-08,4.6566128730773926e-09,-9.313225746154785e-09,0.0,0.0,0.0,0.00021226517856121063,3.0100345611572266e-06,6.575137376785278e-07,0.0,0.0,0.0
|
||||
13,13,0.46940153309401067,560.6998843806796,-0.012116494122892618,-0.010233358014374971,-0.00391888665035367,-0.00039843516424298286,-0.0003350558690726757,-0.003924091346561909,-0.00039816368371248245,-0.00033517926931381226,0.004714041016995907,0.0014252373948693275,0.0012384280562400818,-0.004714064300060272,-0.0014252476394176483,-0.0012384429574012756,5.227979272603989e-06,-2.612359821796417e-07,1.3830140233039856e-07,5.227979272603989e-06,-2.612359821796417e-07,1.3830140233039856e-07,-2.3283064365386963e-08,-1.0244548320770264e-08,-1.4901161193847656e-08,0.0,0.0,0.0,0.00021749315783381462,2.748798578977585e-06,7.958151400089264e-07,0.0,0.0,0.0
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||||
14,14,0.37547977019595935,560.695968686603,-0.012470003217458725,-0.010531187988817692,-0.003915694076567888,-0.0003535090945661068,-0.0002978299744427204,-0.00392324011772871,-0.0003537451848387718,-0.00029775500297546387,0.005242751911282539,0.0015017995610833168,0.0013365093618631363,-0.005242764949798584,-0.0015017539262771606,-0.0013365447521209717,7.559079676866531e-06,1.9045546650886536e-07,-3.958120942115784e-08,7.559079676866531e-06,1.9045546650886536e-07,-3.958120942115784e-08,-1.30385160446167e-08,4.563480615615845e-08,-3.5390257835388184e-08,0.0,0.0,0.0,0.00022505223751068115,2.93925404548645e-06,7.562339305877686e-07,0.0,0.0,0.0
|
||||
15,15,0.46931915536962354,560.6920553292148,-0.012786881532520056,-0.010797811206430197,-0.003913357388228178,-0.0003168783150613308,-0.00026662321761250496,-0.003922352101653814,-0.00031696120277047157,-0.0002668178640305996,0.005457909312099218,0.0014622039161622524,0.0013122227974236012,-0.00545794703066349,-0.0014622155576944351,-0.0013121794909238815,9.032431989908218e-06,9.452924132347107e-08,1.5133991837501526e-07,9.032431989908218e-06,9.452924132347107e-08,1.5133991837501526e-07,-3.771856427192688e-08,-1.1641532182693481e-08,4.330649971961975e-08,0.0,0.0,0.0,0.00023408466950058937,3.0337832868099213e-06,9.075738489627838e-07,0.0,0.0,0.0
|
||||
16,16,0.4688354158197654,560.6881414898671,-0.013073210138827562,-0.011039237957447767,-0.0039138393476605415,-0.00028632860630750656,-0.0002414267510175705,-0.00392143102362752,-0.00028690462931990623,-0.0002415659837424755,0.005488332826644182,0.0013348772190511227,0.0011904998682439327,-0.005488375201821327,-0.001334870234131813,-0.0011905189603567123,7.634051144123077e-06,5.690380930900574e-07,1.5832483768463135e-07,7.634051144123077e-06,5.690380930900574e-07,1.5832483768463135e-07,-4.237517714500427e-08,6.984919309616089e-09,-1.909211277961731e-08,0.0,0.0,0.0,0.00024171872064471245,3.6028213798999786e-06,1.0658986866474152e-06,0.0,0.0,0.0
|
||||
17,17,0.4688642199257324,560.6842309772037,-0.013335466850548983,-0.011260137427598238,-0.003910512663424015,-0.0002622567117214203,-0.00022089947015047073,-0.003920585848391056,-0.0002631489187479019,-0.0002216007560491562,0.005444665905088186,0.001153834629803896,0.0010090763680636883,-0.005444658920168877,-0.0011538397520780563,-0.0010091308504343033,1.00662000477314e-05,8.973293006420135e-07,7.557682693004608e-07,1.00662000477314e-05,8.973293006420135e-07,7.557682693004608e-07,6.984919309616089e-09,-5.122274160385132e-09,-5.448237061500549e-08,0.0,0.0,0.0,0.00025178492069244385,4.500150680541992e-06,1.821666955947876e-06,0.0,0.0,0.0
|
||||
18,18,0.46904972325243455,560.6803212598898,-0.013579126913100481,-0.01146557042375207,-0.003909717313945293,-0.0002436600625514984,-0.00020543299615383148,-0.003919912502169609,-0.0002440977841615677,-0.00020573288202285767,0.005378367379307747,0.0009484421461820602,0.0008058762177824974,-0.005378358066082001,-0.0009484663605690002,-0.0008058585226535797,1.0185874998569489e-05,4.6193599700927734e-07,2.8219074010849e-07,1.0185874998569489e-05,4.6193599700927734e-07,2.8219074010849e-07,9.313225746154785e-09,-2.421438694000244e-08,1.7695128917694092e-08,0.0,0.0,0.0,0.00026197079569101334,4.9620866775512695e-06,2.103857696056366e-06,0.0,0.0,0.0
|
||||
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|
||||
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|
||||
21,21,0.46903467995095127,560.6685956828296,-0.01421999093145132,-0.01200737152248621,-0.003908020444214344,-0.00020031072199344635,-0.00016962643712759018,-0.003919499460607767,-0.0001992243342101574,-0.00016904575750231743,0.0048424312844872475,0.0002950672060251236,0.00023025646805763245,-0.00484243780374527,-0.00029502809047698975,-0.0002302899956703186,1.1485535651445389e-05,-1.1255033314228058e-06,-5.471520125865936e-07,1.1485535651445389e-05,-1.1255033314228058e-06,-5.471520125865936e-07,-6.51925802230835e-09,3.91155481338501e-08,-3.3527612686157227e-08,0.0,0.0,0.0,0.0002951351925730705,3.5995617508888245e-06,1.9585713744163513e-06,0.0,0.0,0.0
|
||||
22,22,0.4690269226422474,560.6646860563196,-0.014409893658012152,-0.01216775132343173,-0.003909626509994268,-0.00018990272656083107,-0.0001603798009455204,-0.003919223323464394,-0.00018808525055646896,-0.00015935394912958145,0.004410987254232168,5.6739430874586105e-05,4.135677590966225e-05,-0.0044109877198934555,-5.675666034221649e-05,-4.13600355386734e-05,9.597279131412506e-06,-1.80024653673172e-06,-1.0225921869277954e-06,9.597279131412506e-06,-1.80024653673172e-06,-1.0225921869277954e-06,-4.656612873077393e-10,-1.7229467630386353e-08,-3.259629011154175e-09,0.0,0.0,0.0,0.00030473247170448303,1.7993152141571045e-06,9.359791874885559e-07,0.0,0.0,0.0
|
||||
23,23,0.46895167590501197,560.6607814244926,-0.014590884558856487,-0.012320364825427532,-0.0039046318270266056,-0.00018099090084433556,-0.00015261350199580193,-0.003918746951967478,-0.00017994502559304237,-0.00015195319429039955,0.0038275266997516155,-0.00019492162391543388,-0.00015757465735077858,-0.0038275402039289474,0.0001948866993188858,0.0001576002687215805,1.4128629118204117e-05,-1.010950654745102e-06,-6.859190762042999e-07,1.4128629118204117e-05,-1.010950654745102e-06,-6.859190762042999e-07,-1.3504177331924438e-08,-3.4924596548080444e-08,2.561137080192566e-08,0.0,0.0,0.0,0.00031886110082268715,7.883645594120026e-07,2.50060111284256e-07,0.0,0.0,0.0
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||||
24,24,0.46890732263511536,560.6568783186376,-0.014766339212656021,-0.012467360123991966,-0.003903105854988098,-0.00017545465379953384,-0.00014699529856443405,-0.003918208181858063,-0.00017489027231931686,-0.00014702323824167252,0.0031356504186987877,-0.0004478944465517998,-0.00036316923797130585,-0.003135625272989273,0.00044789910316467285,0.00036318227648735046,1.5077181160449982e-05,-5.690380930900574e-07,1.4901161193847656e-08,1.5077181160449982e-05,-5.690380930900574e-07,1.4901161193847656e-08,2.514570951461792e-08,4.6566128730773926e-09,1.30385160446167e-08,0.0,0.0,0.0,0.00033393828198313713,2.193264663219452e-07,2.6496127247810364e-07,0.0,0.0,0.0
|
||||
|
@@ -1,97 +0,0 @@
|
||||
metric,time,signal,baseline,absolute,any_crossed,peak_crossed,x,y,q
|
||||
coarse_interface_u,1,0.0,0.0,0.0,False,False,3.5,3.5,
|
||||
coarse_interface_u,2,0.0,2.63417801721126e-09,2.63417801721126e-09,False,False,3.5,3.5,
|
||||
coarse_interface_u,3,0.0,2.63417801721126e-09,2.63417801721126e-09,False,False,3.5,3.5,
|
||||
coarse_interface_u,4,0.0,6.585443742795605e-08,6.585443742795605e-08,False,False,3.5,3.5,
|
||||
coarse_interface_u,5,0.0,1.2644051067663912e-07,1.2644051067663912e-07,False,False,3.5,3.5,
|
||||
coarse_interface_u,6,1.9186142054314123e-07,1.4528626697542904e-07,4.660334981743319e-08,False,False,20.5,12.5,
|
||||
coarse_interface_u,7,4.091979903802207e-06,2.0116559817931723e-07,3.8910894220610345e-06,True,True,20.5,13.5,
|
||||
coarse_interface_u,8,2.311182477441854e-05,1.5646213891164667e-07,2.2955448242208372e-05,True,True,20.5,13.5,
|
||||
coarse_interface_u,9,6.767647549251264e-05,1.5646213891164667e-07,6.752003656156048e-05,True,True,20.5,13.5,
|
||||
coarse_interface_u,10,0.0001337150378395613,9.750014426779573e-08,0.00013361820089187484,True,True,20.5,13.5,
|
||||
coarse_interface_u,11,0.00020218710417179174,1.1795114315203827e-07,0.00020207424859213912,True,True,20.5,13.5,
|
||||
coarse_interface_u,12,0.0002568344215192973,7.455233297611785e-08,0.00025676033381921514,True,True,20.5,14.5,
|
||||
coarse_interface_u,13,0.00028408902792915417,3.83541997932092e-08,0.00028405737088288245,True,True,20.5,14.5,
|
||||
coarse_interface_u,14,0.0002878189146376881,3.003423681142711e-08,0.0002878487673732557,True,True,20.5,15.5,
|
||||
coarse_interface_u,15,0.00027841070597653145,6.516592454722021e-08,0.0002784504724796873,True,True,20.5,16.5,
|
||||
coarse_interface_u,16,0.0002652060129478788,1.006517304071618e-07,0.00026516043242156813,True,True,20.5,17.5,
|
||||
coarse_interface_u,17,0.0002512614305767982,9.86322156278415e-08,0.00025121946497710793,True,True,20.5,18.5,
|
||||
coarse_interface_u,18,0.00023870047136388868,1.0286787296380317e-07,0.00023871152377663379,True,True,20.5,19.5,
|
||||
coarse_interface_u,19,0.00022600944747549703,7.783088195871973e-08,0.00022597593519089906,True,True,20.5,20.5,
|
||||
coarse_interface_u,20,0.00021431184774763036,8.503127640307697e-08,0.00021428571329826077,True,True,20.5,20.5,
|
||||
coarse_interface_u,21,0.00019575956040664123,7.893743237430962e-08,0.00019568735051647606,True,True,20.5,20.5,
|
||||
coarse_interface_u,22,0.00017544769865184928,5.2749351285234925e-08,0.00017539495458202247,True,True,20.5,20.5,
|
||||
coarse_interface_u,23,0.00016267972853265252,8.178685339035058e-08,0.00016263380071292468,True,True,20.5,14.5,
|
||||
coarse_interface_u,24,0.00015978262119523088,6.715860617082587e-08,0.00015974108955029212,True,True,20.5,14.5,
|
||||
coarse_bulk_u,1,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,2,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,3,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,4,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,5,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,6,0.0,0.0,0.0,False,False,0.5,0.5,
|
||||
coarse_bulk_u,7,7.82310665831233e-08,2.12341462371735e-07,1.341103957886117e-07,False,False,21.5,13.5,
|
||||
coarse_bulk_u,8,1.9454402095498935e-06,2.458690369633922e-07,1.6999616130940679e-06,True,False,21.5,13.5,
|
||||
coarse_bulk_u,9,1.177304052098705e-05,1.564621179284487e-07,1.1616666785920634e-05,True,True,21.5,13.5,
|
||||
coarse_bulk_u,10,3.768468268046806e-05,1.0327184058071679e-07,3.758247372213889e-05,True,True,21.5,13.5,
|
||||
coarse_bulk_u,11,8.249500148168606e-05,4.214683516511236e-08,8.24651319357052e-05,True,True,21.5,13.5,
|
||||
coarse_bulk_u,12,0.00013911632875122394,5.890198697622995e-09,0.00013911827376976638,True,True,21.5,13.5,
|
||||
coarse_bulk_u,13,0.0001940498057077554,4.806920811870088e-08,0.00019408186753519264,True,True,21.5,14.5,
|
||||
coarse_bulk_u,14,0.00023606781230746572,3.215422633434082e-08,0.0002360762872001673,True,True,21.5,14.5,
|
||||
coarse_bulk_u,15,0.0002548619441637075,3.434546877545681e-08,0.0002548861189892584,True,True,21.5,14.5,
|
||||
coarse_bulk_u,16,0.00025644070267233306,0.0,0.00025644070267233306,True,True,21.5,15.5,
|
||||
coarse_bulk_u,17,0.00024779621047094693,6.606481633104396e-08,0.00024773971117601724,True,True,21.5,16.5,
|
||||
coarse_bulk_u,18,0.00023605776538134437,6.929437569595666e-08,0.00023599681787995022,True,True,21.5,17.5,
|
||||
coarse_bulk_u,19,0.00022483643371073512,1.0390817551817351e-07,0.00022475474112598463,True,True,21.5,19.5,
|
||||
coarse_bulk_u,20,0.00021493179783986402,1.042082306083734e-07,0.0002148440172340466,True,True,22.5,18.5,
|
||||
coarse_bulk_u,21,0.00020607683833491475,9.442706670805767e-08,0.00020599766123702618,True,True,21.5,20.5,
|
||||
coarse_bulk_u,22,0.0001975946374450119,5.556802130737047e-08,0.0001975402371312418,True,True,22.5,20.5,
|
||||
coarse_bulk_u,23,0.00018932913257368715,4.4703464263670685e-08,0.00018936187038743642,True,True,22.5,21.5,
|
||||
coarse_bulk_u,24,0.000179693129058515,9.995996742145265e-08,0.00017978823062286703,True,True,22.5,22.5,
|
||||
fine_band_neq,1,0.0,3.000928300994632e-09,3.000928300994632e-09,False,False,4.25,4.25,
|
||||
fine_band_neq,2,0.0,4.501393077727123e-09,4.501393077727123e-09,False,False,4.25,4.25,
|
||||
fine_band_neq,3,0.0,2.069606169774474e-08,2.069606169774474e-08,False,False,4.25,4.25,
|
||||
fine_band_neq,4,0.0,4.1392115429639276e-09,4.1392115429639276e-09,False,False,4.25,4.25,
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||||
fine_band_neq,5,0.0,4.1392115429639276e-09,4.1392115429639276e-09,False,False,4.25,4.25,
|
||||
fine_band_neq,6,3.733491271140643e-07,9.934099098884985e-09,3.832832262129493e-07,True,True,19.75,13.25,
|
||||
fine_band_neq,7,2.0319504568933056e-06,9.934099098884985e-09,2.0418845559921905e-06,True,True,19.75,13.25,
|
||||
fine_band_neq,8,5.038458095685261e-06,9.934099098884985e-09,5.048392194784146e-06,True,True,19.75,13.75,
|
||||
fine_band_neq,9,7.299560118911863e-06,1.1589783133203468e-08,7.3111499020450665e-06,True,True,19.75,14.25,
|
||||
fine_band_neq,10,7.386030289713297e-06,9.106256526614231e-09,7.395136546239911e-06,True,True,19.75,15.25,
|
||||
fine_band_neq,11,6.856089636353424e-06,5.794905943989903e-09,6.850294730409434e-06,True,True,19.75,17.25,
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||||
fine_band_neq,12,6.198413803892855e-06,6.622735776451449e-09,6.201725167243044e-06,True,True,19.75,18.25,
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||||
fine_band_neq,13,5.319780258750129e-06,4.139212333997833e-09,5.316468887739401e-06,True,True,19.75,19.25,
|
||||
fine_band_neq,14,5.283330124894459e-06,4.967056432825245e-09,5.278363068461633e-06,True,True,19.75,19.75,
|
||||
fine_band_neq,15,3.967651562297725e-06,4.553132745832578e-09,3.964340190287796e-06,True,True,19.75,19.75,
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||||
fine_band_neq,16,3.7551803555024854e-06,6.622738135675377e-09,3.74855761736681e-06,True,True,19.75,16.75,
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||||
fine_band_neq,17,3.5764174459163023e-06,6.622736969941201e-09,3.5755896076739013e-06,True,True,19.75,17.75,
|
||||
fine_band_neq,18,3.230913338148067e-06,1.7384672978959514e-08,3.2135286651691075e-06,True,True,19.75,18.75,
|
||||
fine_band_neq,19,3.160623228692927e-06,9.934106745546067e-09,3.1631067707871274e-06,True,True,19.75,19.75,
|
||||
fine_band_neq,20,3.2258282446351316e-06,8.278412177986638e-09,3.217549832457145e-06,True,True,19.75,19.75,
|
||||
fine_band_neq,21,2.8042083782819915e-06,1.1589792486832451e-08,2.8124868040602102e-06,True,True,19.75,19.75,
|
||||
fine_band_neq,22,2.2509872253939633e-06,1.241763983306221e-09,2.2509872265041864e-06,True,True,19.75,19.75,
|
||||
fine_band_neq,23,1.7420757160158118e-06,2.0696062086322797e-09,1.7412478748313198e-06,True,True,19.75,19.75,
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||||
fine_band_neq,24,1.7765396425617475e-06,7.864502313270627e-09,1.7773674825805053e-06,True,True,4.25,8.25,
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||||
transfer_neq,1,0.0,1.5004641487625925e-09,1.5004641487625925e-09,False,False,3.5,3.5,6
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||||
transfer_neq,2,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
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||||
transfer_neq,3,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
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||||
transfer_neq,4,0.0,6.881438113781613e-09,6.881438113781613e-09,False,False,3.5,3.5,6
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||||
transfer_neq,5,0.0,6.467520081987477e-09,6.467520081987477e-09,False,False,3.5,3.5,6
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||||
transfer_neq,6,4.1392107713589255e-08,1.7384695072397705e-08,5.877680278598696e-08,False,False,20.5,12.5,1
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||||
transfer_neq,7,1.0066612778220074e-06,1.4901174696935193e-08,1.0215624525189426e-06,True,True,20.5,13.5,1
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||||
transfer_neq,8,5.309127742339492e-06,7.450589978308386e-09,5.316578332317801e-06,True,True,20.5,13.5,1
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||||
transfer_neq,9,1.3828140735375194e-05,4.967061900673642e-09,1.3833107797275868e-05,True,True,20.5,13.5,1
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||||
transfer_neq,10,2.2517463971680196e-05,7.0366557441969846e-09,2.2510427315936e-05,True,True,20.5,13.5,1
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||||
transfer_neq,11,2.6241128339946074e-05,8.692339972804497e-09,2.623243599997327e-05,True,True,20.5,14.5,1
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||||
transfer_neq,12,2.301816285713021e-05,1.0761948318616099e-08,2.3007400908811593e-05,True,True,20.5,14.5,1
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||||
transfer_neq,13,1.7994855878653016e-05,6.6227364148296886e-09,1.7988233142238186e-05,True,True,16.5,20.5,3
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||||
transfer_neq,14,1.325129952600701e-05,3.725288785783043e-09,1.3247574237221227e-05,True,True,17.5,20.5,3
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||||
transfer_neq,15,1.102909472382868e-05,1.7074248230553035e-09,1.1030802148651736e-05,True,True,20.5,20.5,5
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||||
transfer_neq,16,1.0516298765687881e-05,3.777030622292843e-09,1.0512521735065589e-05,True,True,20.5,20.5,5
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||||
transfer_neq,17,7.773419831963446e-06,1.5522043823879006e-09,7.771867627581058e-06,True,True,20.5,20.5,5
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||||
transfer_neq,18,6.4455684595787766e-06,2.4835230261199825e-09,6.4430849365526566e-06,True,True,16.5,3.5,4
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||||
transfer_neq,19,6.882601883972939e-06,4.553130164564045e-09,6.8780487538083745e-06,True,True,16.5,3.5,4
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||||
transfer_neq,20,8.06233390339417e-06,1.6556842147297246e-09,8.0639895876089e-06,True,True,3.5,15.5,2
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||||
transfer_neq,21,9.1730277525931e-06,4.553133203799575e-09,9.1684746193893e-06,True,True,3.5,15.5,2
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||||
transfer_neq,22,9.87202560678857e-06,1.241762831449833e-09,9.87078384395712e-06,True,True,3.5,15.5,2
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||||
transfer_neq,23,9.794260003304078e-06,3.725291089495819e-09,9.790534712214582e-06,True,True,3.5,16.5,2
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||||
transfer_neq,24,8.98628849999028e-06,6.208816516473092e-09,8.992497316506753e-06,True,True,3.5,17.5,2
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||||
|
Binary file not shown.
@@ -1,170 +0,0 @@
|
||||
{
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|
||||
"rounding": [
|
||||
0.00033393828198313713,
|
||||
2.193264663219452e-07,
|
||||
2.6496127247810364e-07
|
||||
],
|
||||
"average": [
|
||||
-4.0978193283081055e-08,
|
||||
-1.126900315284729e-07,
|
||||
-1.8812716007232666e-07
|
||||
]
|
||||
},
|
||||
"checks": {
|
||||
"validity": true,
|
||||
"geometry_unchanged": true,
|
||||
"boundary_count": 48,
|
||||
"collision_count": 72,
|
||||
"local_collision": true,
|
||||
"local_regime": true,
|
||||
"bfl": true,
|
||||
"transfer_rounding": true,
|
||||
"interval_closure": true,
|
||||
"cumulative_closure": true,
|
||||
"propagation": true,
|
||||
"drive_sign": true
|
||||
},
|
||||
"max_collision_ratio": 0.5285112236646456,
|
||||
"max_collision_error": 1.6477090769573266e-07,
|
||||
"max_bfl_error": 1.2498588997100768e-08,
|
||||
"max_interval_closure": 0.0,
|
||||
"drive_mass": -0.07426865905109248,
|
||||
"propagation": {
|
||||
"coarse_interface_u": {
|
||||
"threshold": 1e-06,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 4.091979903802207e-06,
|
||||
"baseline": 2.0116559817931723e-07,
|
||||
"absolute": 3.8910894220610345e-06,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "coarse_interface_u",
|
||||
"time": 14,
|
||||
"signal": 0.0002878189146376881,
|
||||
"baseline": 3.003423681142711e-08,
|
||||
"absolute": 0.0002878487673732557,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 20.5,
|
||||
"y": 15.5
|
||||
}
|
||||
},
|
||||
"coarse_bulk_u": {
|
||||
"threshold": 1e-06,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 8,
|
||||
"signal": 1.0179867624062477e-06,
|
||||
"baseline": 1.005827957173589e-07,
|
||||
"absolute": 9.175116276483961e-07,
|
||||
"x": 13.5,
|
||||
"y": 21.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "coarse_bulk_u",
|
||||
"time": 16,
|
||||
"signal": 0.00025644070267233306,
|
||||
"baseline": 0.0,
|
||||
"absolute": 0.00025644070267233306,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 21.5,
|
||||
"y": 15.5
|
||||
}
|
||||
},
|
||||
"fine_band_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 6,
|
||||
"signal": 3.733491271140643e-07,
|
||||
"baseline": 9.934099098884985e-09,
|
||||
"absolute": 3.832832262129493e-07,
|
||||
"x": 19.75,
|
||||
"y": 13.25
|
||||
},
|
||||
"peak": {
|
||||
"metric": "fine_band_neq",
|
||||
"time": 10,
|
||||
"signal": 7.386030289713297e-06,
|
||||
"baseline": 9.106256526614231e-09,
|
||||
"absolute": 7.395136546239911e-06,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"x": 19.75,
|
||||
"y": 15.25
|
||||
}
|
||||
},
|
||||
"transfer_neq": {
|
||||
"threshold": 1e-07,
|
||||
"baseline_factor": 10,
|
||||
"first_arrival": {
|
||||
"time": 7,
|
||||
"signal": 1.0066612778220074e-06,
|
||||
"baseline": 1.4901174696935193e-08,
|
||||
"absolute": 1.0215624525189426e-06,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 13.5
|
||||
},
|
||||
"peak": {
|
||||
"metric": "transfer_neq",
|
||||
"time": 11,
|
||||
"signal": 2.6241128339946074e-05,
|
||||
"baseline": 8.692339972804497e-09,
|
||||
"absolute": 2.623243599997327e-05,
|
||||
"any_crossed": true,
|
||||
"peak_crossed": true,
|
||||
"q": 1,
|
||||
"x": 20.5,
|
||||
"y": 14.5
|
||||
}
|
||||
}
|
||||
},
|
||||
"raw_minus_zero": [
|
||||
0.0001048198901116848,
|
||||
-5.686189979314804e-06,
|
||||
-3.6512501537799835e-06
|
||||
]
|
||||
}
|
||||
@@ -1,347 +0,0 @@
|
||||
"""Isolated, pre-registered 24-interval validation; never imported by pytest."""
|
||||
import csv
|
||||
import hashlib
|
||||
import importlib.util
|
||||
import json
|
||||
import struct
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
import numpy as np
|
||||
|
||||
ROOT = Path('/home/frank14f/CelerisLab')
|
||||
OUT = Path(__file__).resolve().parent
|
||||
spec = importlib.util.spec_from_file_location('accepted_hooks', ROOT/'tests/validation/multigrid/test_fine_surface_gpu.py')
|
||||
h = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(h)
|
||||
EPS = np.finfo(np.float32).eps
|
||||
M = h.MOMENTS
|
||||
|
||||
|
||||
def save(name, obj):
|
||||
text = json.dumps(obj, indent=2, allow_nan=False)+'\n'
|
||||
assert len(text) <= 40000, (name, len(text))
|
||||
(OUT/name).write_text(text)
|
||||
|
||||
|
||||
def table(name, rows):
|
||||
with (OUT/name).open('w') as file:
|
||||
writer = csv.DictWriter(file, fieldnames=list(rows[0]))
|
||||
writer.writeheader()
|
||||
writer.writerows(rows)
|
||||
assert (OUT/name).stat().st_size <= 40000
|
||||
|
||||
|
||||
def vec(row, prefix, values):
|
||||
row.update({prefix+'_'+axis: float(value) for axis, value in zip(('m', 'px', 'py'), values)})
|
||||
|
||||
|
||||
def equilibrium(values):
|
||||
a = values.astype(float)
|
||||
rho = a.sum(axis=0)
|
||||
u = M[1:]@a/rho
|
||||
cu = h.CX[:, None]*u[0]+h.CY[:, None]*u[1]
|
||||
eq = h.W[:, None]*rho*(1+3*cu+4.5*cu*cu-1.5*(u*u).sum(axis=0))
|
||||
return eq, u, rho
|
||||
|
||||
|
||||
def pull(a):
|
||||
return np.stack([np.roll(a[q], (h.CY[q], h.CX[q]), (0, 1)) for q in range(9)])
|
||||
|
||||
|
||||
def collision(incoming, output, omega, area):
|
||||
"""Local observed drift; no access to global initial/final states or ledger."""
|
||||
a, b = incoming.astype(float), output.astype(float)
|
||||
eq, u, rho = equilibrium(a)
|
||||
ideal = (1-omega)*a+omega*eq
|
||||
tolerance = 8*EPS*abs(a)
|
||||
error = abs(b-ideal)
|
||||
# Independent local FP64 oracle plus a measured (not inferred) drift.
|
||||
return dict(drift=area*(M@(b-a).sum(axis=1)),
|
||||
ideal_defect=area*(M@(ideal-a).sum(axis=1)),
|
||||
measured_rounding=area*(M@(b-ideal).sum(axis=1)),
|
||||
max_error=float(error.max()), max_ratio=float((error/tolerance).max()),
|
||||
regime=bool(np.isfinite(b).all() and np.all(a>0) and np.all(b>0) and np.all((rho>.9)&(rho<1.1))
|
||||
and np.max(np.linalg.norm(u, axis=0))<.05))
|
||||
|
||||
|
||||
def coarse_arrivals(before, fine, active, p):
|
||||
"""Independent midpoint map; FP32 addition order checked against actual map."""
|
||||
got = pull(before)
|
||||
ideal = got.astype(float)
|
||||
targets, sources = [], []
|
||||
for y, x in np.argwhere(active):
|
||||
for q in range(1, 9):
|
||||
if 4 <= x+.5-h.CX[q]/2 <= 20 and 4 <= y+.5-h.CY[q]/2 <= 20:
|
||||
a, b = 4+2*(x-4), 4+2*(y-4)
|
||||
children = fine[q, b:b+2, a:a+2].ravel()
|
||||
assert len(children) == 4 and np.isfinite(children).all()
|
||||
got[q, y, x] = np.float32(.25)*(((children[0]+children[1])+children[2])+children[3])
|
||||
ideal[q, y, x] = children.astype(float).sum()/4
|
||||
targets.append(q*576+y*24+x)
|
||||
sources.append([q*1600+(b+dy)*40+a+dx for dy in (0, 1) for dx in (0, 1)])
|
||||
order = np.argsort(targets)
|
||||
porder = np.argsort(p.coalesce_coarse)
|
||||
np.testing.assert_array_equal(np.array(targets)[order], p.coalesce_coarse[porder])
|
||||
np.testing.assert_array_equal(np.array(sources)[order], p.coalesce_fine[porder])
|
||||
assert np.isfinite(got[:, active]).all()
|
||||
flux = (got[:, active].astype(float)-before[:, active]).sum(axis=1)
|
||||
rounding = (got[:, active].astype(float)-ideal[:, active]).sum(axis=1)
|
||||
children = fine.ravel()[p.coalesce_fine]
|
||||
bound = 3*(EPS/2)/(1-3*(EPS/2))*np.abs(children.astype(float)).sum(axis=1)/4
|
||||
differences = abs(got.ravel()[p.coalesce_coarse]-ideal.ravel()[p.coalesce_coarse])
|
||||
return got, M@flux, M@rounding, float(np.max(differences/bound))
|
||||
|
||||
|
||||
def observation(values, mask):
|
||||
eq, u, _ = equilibrium(values[:, mask])
|
||||
return u, values[:, mask].astype(float)-eq
|
||||
|
||||
|
||||
def run(speed, label):
|
||||
cfg = h.LBMConfig(nx=24, ny=24, viscosity=.05, velocity=0, rho=1)
|
||||
cmask = np.ones((24, 24), bool)
|
||||
cmask[4:20, 4:20] = False
|
||||
source = h.object_spec(speed)
|
||||
state = vars(source.state).copy()
|
||||
ledger_rows, collision_rows, boundary_rows = [], [], []
|
||||
trace = []
|
||||
with h.CudaContext(0) as context:
|
||||
with h.implementation.FixedPatchStepper(cfg, h.BOUNDS, context=context, fine_objects=[source]) as backend, context.activate():
|
||||
c, f = backend._levels
|
||||
cl, p = backend._fine_curved, backend.patch
|
||||
geometry = {name: getattr(cl, name).copy() for name in h.GEOMETRY}
|
||||
flags = backend.fine_boundary.flags.copy().reshape(40, 40)
|
||||
solid = (flags & h.SOLID) != 0
|
||||
active = backend._fine_leaf.copy()
|
||||
fine_mesh = p.fine_kind == 0
|
||||
band = active & np.logical_or.reduce([~np.roll(fine_mesh, (cy, cx), (0, 1))
|
||||
for cx, cy in zip(h.CX[1:], h.CY[1:])])
|
||||
interface = np.zeros(576, bool)
|
||||
interface[p.coalesce_coarse % 576] = True
|
||||
interface = interface.reshape(24, 24)
|
||||
bulk = cmask & ~interface
|
||||
if speed == 0:
|
||||
def coords(mask, dx, origin):
|
||||
yx = np.argwhere(mask)
|
||||
return ((yx[:, ::-1]+.5)*dx+np.array(origin)).tolist()
|
||||
save('regions.json', dict(coarse_interface=coords(interface, 1, (0, 0)),
|
||||
coarse_bulk=coords(bulk, 1, (0, 0)), fine_band=coords(band, .5, (2, 2)),
|
||||
transfer_slots=[dict(q=int(slot//576), x=float(slot%24+.5),
|
||||
y=float((slot%576)//24+.5)) for slot in p.coalesce_coarse]))
|
||||
backend.initialize(h.rest((24, 24)), h.rest((40, 40)))
|
||||
initial = backend.download()
|
||||
initial_m = M@(initial[0][:, cmask].sum(axis=1, dtype=float)
|
||||
+.25*initial[1][:, active].sum(axis=1, dtype=float))
|
||||
previous = initial_m.copy()
|
||||
totals = {name: np.zeros(3) for name in ('boundary', 'fine_transfer', 'coarse_transfer', 'rounding', 'average')}
|
||||
interval = None
|
||||
orig_b, orig_f, orig_c = backend._curved, f.kernel, c.kernel
|
||||
omegas = []
|
||||
for level, tau in ((c, p.tau_coarse), (f, p.tau_fine)):
|
||||
pointer, size = level.module.get_global('d_params')
|
||||
assert size == 20
|
||||
omega, fx, fy, fz, count = struct.unpack('=ffffI', h.read(pointer, (size,), np.uint8).tobytes())
|
||||
assert omega == float(np.float32(1/tau)) and (fx, fy, fz) == (0., 0., 0.)
|
||||
omegas.append(omega)
|
||||
omega_c, omega_f = omegas
|
||||
|
||||
def curved(*args, **kwargs):
|
||||
backend._stream.synchronize()
|
||||
before = h.read(args[0], f.shape)
|
||||
expected = h.reflection_oracle(before, cl, speed)
|
||||
passive = h.reflection_oracle(before, cl, None, verify_projection=False)
|
||||
orig_b(*args, **kwargs)
|
||||
backend._stream.synchronize()
|
||||
staged = h.read(args[0], f.shape)
|
||||
d, k = cl.dir.astype(int), cl.fluid_idx.astype(int)
|
||||
values = staged.reshape(9, -1)[h.OPP[d], k+h.CX[d]+40*h.CY[d]]
|
||||
np.testing.assert_array_equal(staged[:, active], before[:, active])
|
||||
b, tr, _ = h.fine_flux(before, staged, active, solid)
|
||||
exchange = h.read(cl.link_exchange_gpu, (cl.count, 3)).astype(float).sum(axis=0)
|
||||
row = dict(step=interval['step'], substep=len(interval['boundary'])+1,
|
||||
time=interval['step']-1+.5*(len(interval['boundary'])+1),
|
||||
bfl_error=float(abs(values-expected).max()),
|
||||
drive_mass=.25*float((values-passive).sum()),
|
||||
latest_body_impulse_x=float(.25*exchange[0]), latest_body_impulse_y=float(.25*exchange[1]),
|
||||
latest_body_angular_impulse=float(.125*exchange[2]))
|
||||
vec(row, 'boundary', .25*(M@b))
|
||||
vec(row, 'fine_transfer', .25*(M@tr))
|
||||
interval['boundary'].append(.25*(M@b))
|
||||
interval['fine_transfer'].append(.25*(M@tr))
|
||||
boundary_rows.append(row)
|
||||
|
||||
def fine(*args, **kwargs):
|
||||
backend._stream.synchronize()
|
||||
staged = h.read(args[0], f.shape)
|
||||
incoming = pull(staged)[:, active]
|
||||
orig_f(*args, **kwargs)
|
||||
backend._stream.synchronize()
|
||||
after = h.read(args[1], f.shape)
|
||||
assert np.isfinite(after[:, active]).all() and np.isnan(after[:, solid]).all()
|
||||
outer = np.ones((40, 40), bool)
|
||||
outer[2:-2, 2:-2] = False
|
||||
assert np.isnan(after[:, outer]).all()
|
||||
# Inner ghost is stream-only: compare including legitimate NaNs.
|
||||
ghost = ~fine_mesh & ~outer
|
||||
np.testing.assert_array_equal(after[:, ghost], pull(staged)[:, ghost])
|
||||
stat = collision(incoming, after[:, active], omega_f, .25)
|
||||
interval['collision'].append(stat)
|
||||
row = dict(step=interval['step'], level='fine', substep=len(interval['collision']),
|
||||
max_error=stat['max_error'], max_ratio=stat['max_ratio'], regime=stat['regime'])
|
||||
for key in ('drift', 'ideal_defect', 'measured_rounding'):
|
||||
vec(row, key, stat[key])
|
||||
collision_rows.append(row)
|
||||
|
||||
def coarse(*args, **kwargs):
|
||||
backend._stream.synchronize()
|
||||
before, fine = h.read(args[0], c.shape), h.read(args[2], f.shape)
|
||||
incoming, flux, avg, ratio = coarse_arrivals(before, fine, cmask, p)
|
||||
interval['coarse_transfer'], interval['average'] = flux, avg
|
||||
interval['average_ratio'] = ratio
|
||||
eq, _, _ = equilibrium(incoming[:, cmask])
|
||||
neq = np.full(c.shape, np.nan)
|
||||
neq[:, cmask] = incoming[:, cmask].astype(float)-eq
|
||||
interval['transfer_neq'] = neq.ravel()[p.coalesce_coarse].copy()
|
||||
orig_c(*args, **kwargs)
|
||||
backend._stream.synchronize()
|
||||
after = h.read(args[1], c.shape)
|
||||
assert np.isfinite(after[:, cmask]).all() and np.isnan(after[:, ~cmask]).all()
|
||||
stat = collision(incoming[:, cmask], after[:, cmask], omega_c, 1.)
|
||||
interval['collision'].append(stat)
|
||||
row = dict(step=interval['step'], level='coarse', substep=1,
|
||||
max_error=stat['max_error'], max_ratio=stat['max_ratio'], regime=stat['regime'])
|
||||
for key in ('drift', 'ideal_defect', 'measured_rounding'):
|
||||
vec(row, key, stat[key])
|
||||
collision_rows.append(row)
|
||||
|
||||
with patch.object(backend, '_curved', curved), patch.object(f, 'kernel', fine), patch.object(c, 'kernel', coarse):
|
||||
for n in range(1, 25):
|
||||
interval = dict(step=n, boundary=[], fine_transfer=[], collision=[])
|
||||
backend.step(1)
|
||||
coarse_g, fine_g = backend.download()
|
||||
assert np.isfinite(coarse_g[:, cmask]).all() and np.isnan(coarse_g[:, ~cmask]).all()
|
||||
assert np.isfinite(fine_g[:, active]).all() and np.isnan(fine_g[:, ~active]).all()
|
||||
assert len(interval['boundary']) == 2 and len(interval['collision']) == 3
|
||||
current = M@(coarse_g[:, cmask].sum(axis=1, dtype=float)
|
||||
+.25*fine_g[:, active].sum(axis=1, dtype=float))
|
||||
b = sum(interval['boundary'])
|
||||
ft = sum(interval['fine_transfer'])
|
||||
ct = interval['coarse_transfer']
|
||||
drift = sum(s['drift'] for s in interval['collision'])
|
||||
raw = current-previous-b-ft-ct
|
||||
row = dict(step=n, time=n, average_bound_ratio=interval['average_ratio'])
|
||||
for key, value in (('leaf', current), ('delta', current-previous), ('boundary', b),
|
||||
('fine_transfer', ft), ('coarse_transfer', ct), ('raw', raw),
|
||||
('collision_drift', drift), ('average_rounding', interval['average']),
|
||||
('closure', raw-drift)):
|
||||
vec(row, key, value)
|
||||
for key, val in (('boundary', b), ('fine_transfer', ft), ('coarse_transfer', ct),
|
||||
('rounding', drift), ('average', interval['average'])):
|
||||
totals[key] += val
|
||||
cumulative = current-initial_m-totals['boundary']-totals['fine_transfer']-totals['coarse_transfer']
|
||||
vec(row, 'cumulative_raw', cumulative)
|
||||
vec(row, 'cumulative_closure', cumulative-totals['rounding'])
|
||||
ledger_rows.append(row)
|
||||
iu, ine = observation(coarse_g, interface)
|
||||
bu, _ = observation(coarse_g, bulk)
|
||||
fu, fne = observation(fine_g, band)
|
||||
trace.append(dict(coarse_interface_u=iu, coarse_bulk_u=bu,
|
||||
fine_band_neq=fne, transfer_neq=interval['transfer_neq']))
|
||||
previous = current
|
||||
print(label, n, 'raw', raw.tolist(), 'cumulative_raw', cumulative.tolist(), flush=True)
|
||||
assert backend.step_count == 24 and len(boundary_rows) == 48 and len(collision_rows) == 72
|
||||
for name, val in geometry.items():
|
||||
np.testing.assert_array_equal(getattr(cl, name), val)
|
||||
np.testing.assert_array_equal(flags.ravel(), backend.fine_boundary.flags)
|
||||
assert vars(source.state) == state and source.geometry.center == source.center
|
||||
table(label+'_ledger.csv', ledger_rows)
|
||||
table(label+'_collisions.csv', collision_rows)
|
||||
table(label+'_boundary.csv', boundary_rows)
|
||||
# Small compressed diagnostic arrays, not full-field population snapshots.
|
||||
np.savez_compressed(OUT/(label+'_signals.npz'), **{key: np.stack([t[key] for t in trace]) for key in trace[0]})
|
||||
final = ledger_rows[-1]
|
||||
checks = dict(validity=True, geometry_unchanged=True, boundary_count=len(boundary_rows),
|
||||
collision_count=len(collision_rows),
|
||||
local_collision=max(r['max_ratio'] for r in collision_rows)<=1,
|
||||
local_regime=all(r['regime'] for r in collision_rows),
|
||||
bfl=max(r['bfl_error'] for r in boundary_rows)<=1e-7,
|
||||
transfer_rounding=max(r['average_bound_ratio'] for r in ledger_rows)<=1,
|
||||
interval_closure=max(abs(r['closure_'+k]) for r in ledger_rows for k in ('m','px','py'))<=1e-10,
|
||||
cumulative_closure=max(abs(r['cumulative_closure_'+k]) for r in ledger_rows for k in ('m','px','py'))<=1e-9)
|
||||
return trace, dict(speed=speed, initial_leaf=initial_m.tolist(), final_leaf=previous.tolist(),
|
||||
raw_residual=[final['cumulative_raw_'+k] for k in ('m','px','py')],
|
||||
exact_average_residual=(np.array([final['cumulative_raw_'+k] for k in ('m','px','py')])+totals['average']).tolist(),
|
||||
cumulative={k: v.tolist() for k,v in totals.items()}, checks=checks,
|
||||
max_collision_ratio=max(r['max_ratio'] for r in collision_rows),
|
||||
max_collision_error=max(r['max_error'] for r in collision_rows),
|
||||
max_bfl_error=max(r['bfl_error'] for r in boundary_rows),
|
||||
max_interval_closure=max(abs(r['closure_'+k]) for r in ledger_rows for k in ('m','px','py')),
|
||||
drive_mass=sum(r['drive_mass'] for r in boundary_rows))
|
||||
|
||||
|
||||
def compare(driven, zero, label):
|
||||
regions = json.loads((OUT/'regions.json').read_text())
|
||||
summaries, rows = {}, []
|
||||
for key in driven[0]:
|
||||
velocity = key.endswith('_u')
|
||||
floor = 1e-6 if velocity else 1e-7
|
||||
first, peak = None, None
|
||||
for n, (d, z) in enumerate(zip(driven, zero), 1):
|
||||
difference = d[key]-z[key]
|
||||
if velocity:
|
||||
signal = np.linalg.norm(difference, axis=0)
|
||||
base = np.linalg.norm(z[key], axis=0)
|
||||
absolute = np.linalg.norm(d[key], axis=0)
|
||||
elif difference.ndim == 2:
|
||||
signal, base, absolute = abs(difference).max(axis=0), abs(z[key]).max(axis=0), abs(d[key]).max(axis=0)
|
||||
else:
|
||||
signal, base, absolute = abs(difference), abs(z[key]), abs(d[key])
|
||||
eligible = (signal>floor)&(signal>10*base)
|
||||
idx = int(np.argmax(signal))
|
||||
def location(i):
|
||||
region = key.removesuffix('_u').removesuffix('_neq')
|
||||
if key == 'transfer_neq':
|
||||
return regions['transfer_slots'][i]
|
||||
return dict(zip(('x','y'), regions[region][i]))
|
||||
record = dict(metric=key, time=n, signal=float(signal[idx]), baseline=float(base[idx]),
|
||||
absolute=float(absolute[idx]), any_crossed=bool(eligible.any()), peak_crossed=bool(eligible[idx]), **location(idx))
|
||||
rows.append(record)
|
||||
if peak is None or record['signal']>peak['signal']:
|
||||
peak = record.copy()
|
||||
if first is None and eligible.any():
|
||||
i = int(np.argmax(np.where(eligible, signal, -1)))
|
||||
first = dict(time=n, signal=float(signal[i]), baseline=float(base[i]), absolute=float(absolute[i]), **location(i))
|
||||
summaries[key] = dict(threshold=floor, baseline_factor=10, first_arrival=first, peak=peak)
|
||||
# q is present only for transfer populations; normalize CSV columns.
|
||||
for row in rows:
|
||||
row.setdefault('q', '')
|
||||
table(label+'_propagation.csv', rows)
|
||||
return summaries
|
||||
|
||||
|
||||
def main():
|
||||
assert Path(h.CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
|
||||
assert Path(h.compiler._KERNEL_DIR).resolve() == ROOT/'src/CelerisLab/lbm/kernels'
|
||||
frozen = json.loads((OUT/'frozen.json').read_text())
|
||||
for path, digest in frozen['hashes'].items():
|
||||
assert hashlib.sha256((ROOT/path).read_bytes()).hexdigest() == digest, path
|
||||
print('SOURCE', h.CelerisLab.__file__, 'CRITERIA', frozen['frozen_utc'], flush=True)
|
||||
traces, summaries = {}, {}
|
||||
for label, speed in (('zero', 0.), ('blow', .002), ('suction', -.002)):
|
||||
traces[label], summaries[label] = run(speed, label)
|
||||
save(label+'_summary.json', summaries[label])
|
||||
for label in ('blow','suction'):
|
||||
summaries[label]['propagation'] = compare(traces[label], traces['zero'], label)
|
||||
summaries[label]['raw_minus_zero'] = (np.array(summaries[label]['raw_residual'])-summaries['zero']['raw_residual']).tolist()
|
||||
summaries[label]['checks']['propagation'] = all(s['first_arrival'] is not None for s in summaries[label]['propagation'].values())
|
||||
summaries[label]['checks']['drive_sign'] = summaries[label]['speed']*summaries[label]['drive_mass']>0
|
||||
save(label+'_summary.json', summaries[label])
|
||||
passed = all(all(v for k,v in s['checks'].items() if k not in ('boundary_count','collision_count')) for s in summaries.values())
|
||||
save('result.json', dict(passed=passed, runs=summaries))
|
||||
print('RESULT', json.dumps(dict(passed=passed, summaries=summaries)), flush=True)
|
||||
raise SystemExit(0 if passed else 1)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -1,49 +0,0 @@
|
||||
step,substep,time,bfl_error,drive_mass,latest_body_impulse_x,latest_body_impulse_y,latest_body_angular_impulse,boundary_m,boundary_px,boundary_py,fine_transfer_m,fine_transfer_px,fine_transfer_py
|
||||
1,1,0.5,1.862645149230957e-09,-3.725290298461914e-09,0.0,0.0,0.0,-3.725290298461914e-09,0.0,0.0,0.0,0.0,0.0
|
||||
1,2,1.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.557652235031128e-07,0.0,0.0
|
||||
2,1,1.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-8.530914783477783e-07,-7.450580596923828e-09,-1.6763806343078613e-07
|
||||
2,2,2.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-1.3401731848716736e-06,2.7939677238464355e-09,-9.313225746154785e-10
|
||||
3,1,2.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-1.6577541828155518e-06,1.5832483768463135e-07,1.5832483768463135e-07
|
||||
3,2,3.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-1.982320100069046e-06,3.1152740120887756e-07,3.096647560596466e-07
|
||||
4,1,3.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.2121315598487854e-06,3.5297125577926636e-07,3.762543201446533e-07
|
||||
4,2,4.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.698747605085373e-06,-3.585591912269592e-08,1.909211277961731e-08
|
||||
5,1,4.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.6563724279403687e-06,5.550682544708252e-07,2.4121254682540894e-07
|
||||
5,2,5.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.6312267184257507e-06,5.122274160385132e-07,2.2258609533309937e-07
|
||||
6,1,5.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-2.8940849006175995e-06,5.164183676242828e-07,3.213062882423401e-08
|
||||
6,2,6.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-2.759043127298355e-06,1.4202669262886047e-07,-9.173527359962463e-08
|
||||
7,1,6.5,7.450580596923828e-09,1.2056459275378018e-08,2.60770320892334e-08,2.60770320892334e-08,0.0,2.2351741790771484e-08,-2.9802322387695312e-08,-2.9802322387695312e-08,-2.505723387002945e-06,1.41095370054245e-07,1.909211277961731e-08
|
||||
7,2,7.0,3.3177493669045433e-09,8.59302214106794e-09,6.146728992462158e-08,3.5390257835388184e-08,0.0,5.634501576423645e-08,-6.565824151039124e-08,-3.119930624961853e-08,-2.1560117602348328e-06,9.872019290924072e-08,-7.171183824539185e-08
|
||||
8,1,7.5,3.3720288783456454e-09,5.322996345785702e-09,-1.1175870895385742e-08,-3.725290298461914e-09,-1.3969838619232178e-09,7.031485438346863e-08,1.1641532182693481e-08,1.0710209608078003e-08,-2.4740584194660187e-06,2.6496127247810364e-07,1.103617250919342e-07
|
||||
8,2,8.0,5.7645661577510054e-09,9.257705106853475e-09,8.568167686462402e-08,6.891787052154541e-08,5.587935447692871e-09,6.658956408500671e-08,-8.242204785346985e-08,-6.100162863731384e-08,-2.444721758365631e-06,1.7601996660232544e-07,1.5832483768463135e-08
|
||||
9,1,8.5,5.7645661577510054e-09,1.0978071169134851e-08,1.1548399925231934e-07,1.043081283569336e-07,2.3094196555106805e-09,3.166496753692627e-08,-1.1082738637924194e-07,-1.0710209608078003e-07,-2.629123628139496e-06,1.7415732145309448e-07,-9.313225746154785e-08
|
||||
9,2,9.0,6.9608347974536855e-09,7.898425626214067e-09,1.3131648302078247e-07,1.648440957069397e-07,6.947145747560057e-09,3.119930624961853e-08,-1.19674950838089e-07,-1.578591763973236e-07,-2.517830580472946e-06,1.7741695046424866e-07,-1.0477378964424133e-07
|
||||
10,1,9.5,8.157103437156366e-09,1.1035995113421737e-08,9.592622518539429e-08,1.387670636177063e-07,-4.134291242685606e-09,-5.3085386753082275e-08,-9.499490261077881e-08,-1.4062970876693726e-07,-2.5741755962371826e-06,4.377216100692749e-08,-2.1420419216156006e-08
|
||||
10,2,10.0,9.843117876329188e-09,-2.3864622283528703e-09,-5.587935447692871e-09,1.601874828338623e-07,-2.2389515352827516e-08,-5.820766091346741e-08,4.656612873077393e-10,-1.5692785382270813e-07,-2.477318048477173e-06,1.1362135410308838e-07,-4.6566128730773926e-08
|
||||
11,1,10.5,5.7645661577510054e-09,8.417366170396234e-09,3.073364496231079e-08,1.4062970876693726e-07,5.2116290616410765e-08,-5.541369318962097e-08,-2.2817403078079224e-08,-1.4295801520347595e-07,-2.542976289987564e-06,-1.0943040251731873e-07,-1.3923272490501404e-07
|
||||
11,2,11.0,8.646849236626508e-09,4.201981729581861e-09,2.0489096641540527e-08,6.51925802230835e-08,2.9745662044611265e-08,-1.3969838619232178e-08,-2.0489096641540527e-08,-7.264316082000732e-08,-2.610962837934494e-06,2.561137080192566e-08,-1.2153759598731995e-07
|
||||
12,1,11.5,7.450580596923828e-09,6.251696621321912e-09,-2.3283064365386963e-08,2.514570951461792e-08,-8.029562570399662e-09,-2.9802322387695312e-08,2.7939677238464355e-08,-2.7939677238464355e-08,-2.630986273288727e-06,-2.60770320892334e-08,-1.0337680578231812e-07
|
||||
12,2,12.0,5.7645661577510054e-09,2.728442157970412e-09,1.3969838619232178e-08,4.377216100692749e-08,3.1274215439580644e-09,-6.51925802230835e-09,-1.1175870895385742e-08,-4.377216100692749e-08,-2.6319175958633423e-06,1.4901161193847656e-08,-1.4528632164001465e-07
|
||||
13,1,12.5,5.7645661577510054e-09,-9.308885346587248e-11,-1.5832483768463135e-08,-1.3969838619232178e-08,-5.176395001527112e-08,-2.1420419216156006e-08,2.2351741790771484e-08,7.450580596923828e-09,-2.5229528546333313e-06,-1.30385160446167e-07,-1.94646418094635e-07
|
||||
13,2,13.0,5.7645661577510054e-09,2.221090411418103e-09,-8.381903171539307e-09,6.51925802230835e-09,-8.495223857707401e-09,-1.862645149230957e-09,8.381903171539307e-09,-1.3969838619232178e-08,-2.4405308067798615e-06,-7.12461769580841e-08,-1.8673017621040344e-07
|
||||
14,1,13.5,5.7645661577510054e-09,2.3050655134637665e-09,-1.0244548320770264e-08,1.7695128917694092e-08,-5.172617645321509e-08,-1.4435499906539917e-08,7.916241884231567e-09,-1.4435499906539917e-08,-2.2603198885917664e-06,-1.4062970876693726e-07,-2.561137080192566e-07
|
||||
14,2,14.0,5.7645661577510054e-09,-1.3810677766332158e-09,4.6566128730773926e-09,1.955777406692505e-08,-2.4717821789366212e-08,-1.5832483768463135e-08,-9.313225746154785e-09,-1.955777406692505e-08,-2.158805727958679e-06,-5.587935447692871e-08,-2.654269337654114e-07
|
||||
15,1,14.5,5.7645661577510054e-09,3.710991161934296e-09,-2.514570951461792e-08,1.955777406692505e-08,-3.6359353972059694e-08,-2.3748725652694702e-08,2.7474015951156616e-08,-1.3504177331924438e-08,-2.0223669707775116e-06,-1.7834827303886414e-07,-2.752058207988739e-07
|
||||
15,2,15.0,5.7645661577510054e-09,5.327543748170904e-09,1.3969838619232178e-08,1.5832483768463135e-08,1.7229467630386353e-08,1.0710209608078003e-08,-1.257285475730896e-08,-1.7229467630386353e-08,-1.909211277961731e-06,-5.8673322200775146e-08,-2.812594175338745e-07
|
||||
16,1,15.5,5.7645661577510054e-09,4.6057723086800895e-10,-2.7008354663848877e-08,-2.1420419216156006e-08,-3.447782204180072e-08,-2.2351741790771484e-08,2.7939677238464355e-08,2.7008354663848877e-08,-1.9264407455921173e-06,-1.3737007975578308e-07,-4.237517714500427e-08
|
||||
16,2,16.0,6.254311957221148e-09,5.437245712697214e-09,-9.313225746154785e-10,-1.3969838619232178e-08,1.6260371493714842e-08,4.190951585769653e-09,3.259629011154175e-09,1.3504177331924438e-08,-1.8654391169548035e-06,-1.0617077350616455e-07,-1.7136335372924805e-07
|
||||
17,1,16.5,9.13659503609665e-09,3.3756476485596876e-09,-4.0046870708465576e-08,-3.632158041000366e-08,-2.366079998594728e-09,-1.0710209608078003e-08,3.864988684654236e-08,4.0512531995773315e-08,-1.7364509403705597e-06,-2.062879502773285e-07,-3.864988684654236e-08
|
||||
17,2,17.0,6.254311957221148e-09,-1.3075458155445419e-09,-2.7939677238464355e-09,-5.681067705154419e-08,-2.5630257582953675e-08,-1.1641532182693481e-08,5.122274160385132e-09,4.7963112592697144e-08,-1.6386620700359344e-06,-1.2153759598731995e-07,-9.73232090473175e-08
|
||||
18,1,17.5,6.254311957221148e-09,6.7173146229421166e-09,1.862645149230957e-09,-1.862645149230957e-08,2.366079998594728e-09,-1.1641532182693481e-08,-5.122274160385132e-09,2.3748725652694702e-08,-1.4598481357097626e-06,-5.2619725465774536e-08,5.541369318962097e-08
|
||||
18,2,18.0,7.94032639639397e-09,6.865774111568246e-09,8.754432201385498e-08,-1.30385160446167e-08,-1.534793570012738e-08,7.450580596923828e-09,-8.754432201385498e-08,8.381903171539307e-09,-1.3792887330055237e-06,-5.587935447692871e-08,-2.0489096641540527e-08
|
||||
19,1,18.5,9.13659503609665e-09,1.0526447616343582e-08,7.636845111846924e-08,-5.587935447692871e-09,1.5908030892575198e-08,-6.51925802230835e-09,-7.82310962677002e-08,3.725290298461914e-09,-1.307111233472824e-06,1.909211277961731e-08,5.122274160385132e-09
|
||||
19,2,19.0,6.254311957221148e-09,9.55982605143485e-09,1.2479722499847412e-07,-1.1175870895385742e-08,-3.2520742987429685e-08,0.0,-1.2200325727462769e-07,9.313225746154785e-09,-1.2475065886974335e-06,-3.213062882423401e-08,-3.119930624961853e-08
|
||||
20,1,19.5,7.450580596923828e-09,8.078089798642385e-09,9.499490261077881e-08,-1.4901161193847656e-08,2.2911836983219303e-08,-9.778887033462524e-09,-9.639188647270203e-08,1.7229467630386353e-08,-1.2731179594993591e-06,8.568167686462402e-08,5.4016709327697754e-08
|
||||
20,2,20.0,9.13659503609665e-09,6.598118141264153e-09,8.288770914077759e-08,-4.563480615615845e-08,2.065907767079267e-08,4.656612873077393e-10,-8.800998330116272e-08,4.6100467443466187e-08,-1.1995434761047363e-06,8.195638656616211e-08,-2.60770320892334e-08
|
||||
21,1,20.5,9.13659503609665e-09,3.7482895407295325e-09,7.729977369308472e-08,-4.7497451305389404e-08,-1.2497307633196897e-08,-1.5832483768463135e-08,-7.729977369308472e-08,4.0046870708465576e-08,-1.3262033462524414e-06,1.471489667892456e-07,-4.563480615615845e-08
|
||||
21,2,21.0,9.13659503609665e-09,9.180836884128962e-09,9.313225746154785e-08,-3.91155481338501e-08,-1.5700276301267024e-08,1.6298145055770874e-08,-8.987262845039368e-08,3.585591912269592e-08,-1.3378448784351349e-06,1.1781230568885803e-07,-7.310882210731506e-08
|
||||
22,1,21.5,9.13659503609665e-09,5.584703916330924e-09,1.0058283805847168e-07,-2.7939677238464355e-08,-3.1589420412814206e-08,-1.1175870895385742e-08,-1.0244548320770264e-07,2.60770320892334e-08,-1.443084329366684e-06,1.317821443080902e-07,-1.7276033759117126e-07
|
||||
22,2,22.0,9.13659503609665e-09,1.0796289612313714e-08,9.592622518539429e-08,-5.3085386753082275e-08,-1.7493244630628624e-09,1.1641532182693481e-08,-9.266659617424011e-08,5.541369318962097e-08,-1.4277175068855286e-06,1.1641532182693481e-07,-1.6298145055770874e-07
|
||||
23,1,22.5,9.13659503609665e-09,5.392017251963643e-09,1.0803341865539551e-07,-3.5390257835388184e-08,-2.3635404966526607e-08,6.05359673500061e-09,-1.1315569281578064e-07,3.585591912269592e-08,-1.3522803783416748e-06,4.6566128730773926e-08,-1.1920928955078125e-07
|
||||
23,2,23.0,1.0332863675799331e-08,9.153846265187726e-09,1.1175870895385742e-07,-4.470348358154297e-08,-2.7845243333324277e-08,1.30385160446167e-08,-1.1082738637924194e-07,4.7497451305389404e-08,-1.2884847819805145e-06,3.026798367500305e-08,-7.310882210731506e-08
|
||||
24,1,23.5,7.450580596923828e-09,3.828949286105443e-09,5.3085386753082275e-08,-3.632158041000366e-08,-3.0305757237059083e-08,4.190951585769653e-09,-5.820766091346741e-08,3.958120942115784e-08,-1.028645783662796e-06,6.193295121192932e-08,-4.7031790018081665e-08
|
||||
24,2,24.0,7.450580596923828e-09,1.2711602917839238e-08,5.8673322200775146e-08,-6.612390279769897e-08,-6.552603404319512e-08,1.257285475730896e-08,-7.217749953269958e-08,6.100162863731384e-08,-9.830109775066376e-07,1.257285475730896e-08,-1.5366822481155396e-08
|
||||
|
@@ -1,73 +0,0 @@
|
||||
step,level,substep,max_error,max_ratio,regime,drift_m,drift_px,drift_py,ideal_defect_m,ideal_defect_px,ideal_defect_py,measured_rounding_m,measured_rounding_px,measured_rounding_py
|
||||
1,fine,1,3.083712529772242e-08,0.08007812434516381,True,1.6147270798683167e-05,0.0,0.0,-8.326672684688674e-17,0.0,0.0,1.6147270798766433e-05,0.0,0.0
|
||||
1,fine,2,1.1382831566209006e-08,0.09960937460709829,True,-3.4831464290618896e-07,0.0,0.0,-5.169475958410885e-15,0.0,0.0,-3.48314637736713e-07,0.0,0.0
|
||||
1,coarse,1,1.1080350609260492e-08,0.10456730670501622,True,-1.5292316675186157e-06,-1.30385160446167e-08,-1.5832483768463135e-07,-4.288236432614667e-15,-5.551115123125783e-17,1.3877787807814457e-17,-1.5292316632303793e-06,-1.3038515989105548e-08,-1.5832483769850914e-07
|
||||
2,fine,1,3.2078889655728915e-08,0.1679687748837782,True,8.158385753631592e-07,-1.30385160446167e-08,-1.7508864402770996e-07,-4.496403249731884e-15,-1.734723475976807e-17,2.740863092043355e-16,8.158385798595624e-07,-1.3038516027269464e-08,-1.7508864430179627e-07
|
||||
2,fine,2,6.788307005400895e-08,0.19140625209547577,True,2.376735210418701e-06,-1.1175870895385742e-08,1.2665987014770508e-07,-1.0479464518375892e-14,-4.336808689942018e-17,2.7582103268031233e-16,2.3767352208981657e-06,-1.1175870852017655e-08,1.2665986987188405e-07
|
||||
2,coarse,1,1.6365805183271576e-08,0.1544470929589978,True,-1.426786184310913e-06,-3.0919909477233887e-07,-3.0919909477233887e-07,-6.286637876939949e-15,-8.326672684688674e-17,-8.326672684688674e-17,-1.4267861780242752e-06,-3.0919909468907214e-07,-3.0919909468907214e-07
|
||||
3,fine,1,8.23703105723439e-08,0.31152334896616624,True,4.382804036140442e-06,1.6111880540847778e-07,1.3690441846847534e-07,-1.0234868508263162e-14,6.245004513516506e-17,3.2612801348363973e-16,4.38280404637531e-06,1.6111880534602774e-07,1.3690441814234733e-07
|
||||
3,fine,2,7.843806204554937e-08,0.3828123813437159,True,7.607974112033844e-06,5.029141902923584e-08,2.2351741790771484e-08,-1.5149340115705456e-14,1.5612511283791264e-17,2.654126918244515e-16,7.607974127183184e-06,5.029141901362333e-08,2.2351741525358793e-08
|
||||
3,coarse,1,1.0010523732173482e-07,0.2854567053212911,True,9.115785360336304e-06,3.3155083656311035e-07,3.203749656677246e-07,-3.837208328860697e-15,1.5334955527634975e-15,1.2420620087993939e-15,9.115785364173512e-06,3.315508350296148e-07,3.203749644256626e-07
|
||||
4,fine,1,9.437402781475868e-08,0.3632811360585352,True,1.0219402611255646e-05,3.771856427192688e-07,3.67872416973114e-07,-1.84297022087776e-14,4.371503159461554e-16,5.238864897449957e-16,1.0219402629685348e-05,3.771856422821185e-07,3.678724164492275e-07
|
||||
4,fine,2,9.851323801157719e-08,0.3388670872446077,True,1.0103452950716019e-05,2.975575625896454e-07,1.9976869225502014e-07,-1.6042722705833512e-14,-1.7694179454963432e-16,6.938893903907228e-18,1.0103452966758741e-05,2.975575627665872e-07,1.9976869224808125e-07
|
||||
4,coarse,1,1.2150177930436712e-07,0.37139422446265463,True,1.3064593076705933e-05,5.997717380523682e-07,5.62518835067749e-07,-1.2559397966072083e-14,-5.967448757360216e-16,-2.498001805406602e-16,1.306459308926533e-05,5.99771738649113e-07,5.625188353175492e-07
|
||||
5,fine,1,9.851323801157719e-08,0.3144530263816977,True,1.0738149285316467e-05,-4.190951585769653e-08,-1.1548399925231934e-07,-1.6018436577169837e-14,4.891920202254596e-16,5.30825383648903e-16,1.0738149301334904e-05,-4.1909516346888553e-08,-1.1548399978314472e-07
|
||||
5,fine,2,9.540882917047355e-08,0.32177729440809383,True,9.94466245174408e-06,0.0,1.7695128917694092e-07,-1.7361112547575885e-14,4.198030811863873e-16,1.0477729794899915e-15,9.944662469105192e-06,-4.198030811863873e-16,1.7695128812916794e-07
|
||||
5,coarse,1,1.2532259030528792e-07,0.38942307019337585,True,1.49458646774292e-05,9.723007678985596e-07,1.2628734111785889e-06,-1.6535384173010925e-14,1.5959455978986625e-16,6.175615574477433e-16,1.4945864693964583e-05,9.72300767738965e-07,1.2628734105610273e-06
|
||||
6,fine,1,9.023481550851642e-08,0.2998045916974925,True,9.546522051095963e-06,1.0104849934577942e-07,-6.007030606269836e-08,-1.5754758608821362e-14,-1.3530843112619095e-16,3.469446951953614e-16,9.546522066850721e-06,1.0104849948108785e-07,-6.007030640964306e-08
|
||||
6,fine,2,9.023481550851642e-08,0.29199211258675606,True,8.22870060801506e-06,8.614733815193176e-08,-1.6065314412117004e-07,-1.482668154917377e-14,1.3010426069826053e-16,-8.847089727481716e-17,8.228700622841742e-06,8.61473380218275e-08,-1.6065314403269915e-07
|
||||
6,coarse,1,1.0239773140519048e-07,0.43028837580529966,True,1.3286247849464417e-05,4.898756742477417e-07,3.818422555923462e-07,-1.9283186158958188e-14,-3.469446951953614e-17,8.673617379884035e-16,1.3286247868747603e-05,4.898756742824362e-07,3.8184225472498445e-07
|
||||
7,fine,1,9.023481550851642e-08,0.29199211258675606,True,8.461065590381622e-06,9.96515154838562e-08,1.862645149230957e-08,-1.6153745008296028e-14,4.649058915617843e-16,-1.97758476261356e-16,8.461065606535367e-06,9.965151501895031e-08,1.8626451690068047e-08
|
||||
7,fine,2,9.023481550851642e-08,0.29199211258675606,True,7.561873644590378e-06,7.497146725654602e-08,4.237517714500427e-08,-1.456647302777725e-14,8.153200337090993e-17,5.741934705483231e-16,7.561873659156851e-06,7.497146717501402e-08,4.23751765708108e-08
|
||||
7,coarse,1,1.0902046165828239e-07,0.38161058826685446,True,1.3303011655807495e-05,9.387731552124023e-07,-2.5331974029541016e-07,-2.4202861936828413e-14,-8.326672684688674e-17,-2.3592239273284576e-16,1.3303011680010357e-05,9.387731552956691e-07,-2.5331974005948776e-07
|
||||
8,fine,1,9.023481550851642e-08,0.29199211258675606,True,6.217043846845627e-06,7.12461769580841e-08,1.5040859580039978e-07,-1.42785089307651e-14,6.765421556309548e-17,1.9081958235744878e-17,6.217043861124136e-06,7.124617689042989e-08,1.5040859578131782e-07
|
||||
8,fine,2,9.023481550851642e-08,0.31249989522621113,True,6.183981895446777e-06,1.5832483768463135e-08,1.210719347000122e-08,-1.374594882364022e-14,2.914335439641036e-16,-2.0816681711721685e-17,6.183981909192726e-06,1.583248347702959e-08,1.2107193490817902e-08
|
||||
8,coarse,1,1.265961931951054e-07,0.38341345468786764,True,7.713213562965393e-06,5.718320608139038e-07,-6.761401891708374e-07,-2.1399548799649892e-14,-1.4432899320127035e-15,3.885780586188048e-16,7.713213584364942e-06,5.718320622571937e-07,-6.761401895594155e-07
|
||||
9,fine,1,7.678237223807116e-08,0.32031244446989565,True,5.04031777381897e-06,9.685754776000977e-08,-1.434236764907837e-07,-1.3928094788617784e-14,-1.0581813203458523e-16,2.6020852139652106e-17,5.0403177877470645e-06,9.68575478658279e-08,-1.4342367651680454e-07
|
||||
9,fine,2,7.823108461035844e-08,0.2934569717253952,True,4.06801700592041e-06,3.5390257835388184e-08,-1.7695128917694092e-08,-1.4047790708460184e-14,-9.367506770274758e-17,1.9081958235744878e-16,4.068017019968201e-06,3.539025792906325e-08,-1.7695129108513674e-08
|
||||
9,coarse,1,1.0774685821335339e-07,0.3876201969620664,True,1.385807991027832e-06,-2.7567148208618164e-07,-4.470348358154297e-07,-2.468858451010192e-14,1.249000902703301e-16,-5.967448757360216e-16,1.3858080157164165e-06,-2.7567148221108173e-07,-4.470348352186848e-07
|
||||
10,fine,1,7.885198249901748e-08,0.3164059705161431,True,3.97535040974617e-06,2.0954757928848267e-08,3.306195139884949e-08,-1.408248517797972e-14,1.0408340855860843e-17,1.3183898417423734e-16,3.975350423828655e-06,2.0954757918439926e-08,3.30619512670105e-08
|
||||
10,fine,2,6.684825892833146e-08,0.33007805480156616,True,3.22144478559494e-06,2.7939677238464355e-09,1.3969838619232178e-08,-1.3690437672408962e-14,2.220446049250313e-16,1.942890293094024e-16,3.221444799285378e-06,2.7939675018018306e-09,1.3969838424943148e-08
|
||||
10,coarse,1,9.857692329084955e-08,0.4038458162128909,True,2.164393663406372e-06,-4.470348358154297e-07,3.203749656677246e-07,-2.49592013723543e-14,-3.5388358909926865e-16,8.257283745649602e-16,2.1643936883655734e-06,-4.470348354615461e-07,3.2037496484199623e-07
|
||||
11,fine,1,7.202226570690584e-08,0.2885741439022296,True,2.462416887283325e-06,7.264316082000732e-08,3.259629011154175e-08,-1.4660148095479997e-14,-2.0990154059319366e-16,-2.203098814490545e-16,2.4624169019434733e-06,7.264316102990886e-08,3.259629033185163e-08
|
||||
11,fine,2,7.864501860854745e-08,0.26904281257170715,True,2.048444002866745e-06,2.3283064365386963e-09,6.938353180885315e-08,-1.4498818812214154e-14,-1.5265566588595902e-16,-4.198030811863873e-16,2.048444017365564e-06,2.328306589194362e-09,6.938353222865623e-08
|
||||
11,coarse,1,1.2914339875269576e-07,0.3858170203504229,True,-3.026798367500305e-06,-2.6635825634002686e-07,3.4831464290618896e-07,-1.938033067361289e-14,-2.0816681711721685e-17,-2.2898349882893854e-16,-3.0267983481199745e-06,-2.663582563192102e-07,3.4831464313517246e-07
|
||||
12,fine,1,6.72621854880262e-08,0.2617186813731729,True,2.3399479687213898e-06,3.771856427192688e-08,4.7031790018081665e-08,-1.3525638942191165e-14,-4.683753385137379e-17,3.9898639947466563e-17,2.3399479822470287e-06,3.7718564318764414e-08,4.7031789978183025e-08
|
||||
12,fine,2,6.829698973032095e-08,0.310546814493141,True,1.689419150352478e-06,8.847564458847046e-08,1.1082738637924194e-07,-1.4262896419481308e-14,-6.938893903907228e-18,-1.491862189340054e-16,1.6894191646153744e-06,8.847564459540935e-08,1.1082738652842816e-07
|
||||
12,coarse,1,1.0137883943439618e-07,0.3215142032133043,True,-2.1997839212417603e-06,-4.4889748096466064e-07,1.2479722499847412e-07,-2.423061751244404e-14,-1.5265566588595902e-16,-3.0531133177191805e-16,-2.1997838970111427e-06,-4.48897480812005e-07,1.2479722530378545e-07
|
||||
13,fine,1,7.243620325780853e-08,0.2641600946299196,True,2.107582986354828e-06,1.1827796697616577e-07,1.685693860054016e-07,-1.5241280459932227e-14,3.8163916471489756e-17,-7.979727989493313e-17,2.1075830015961083e-06,1.1827796693800186e-07,1.685693860851989e-07
|
||||
13,fine,2,6.581346223555329e-08,0.3027343282446967,True,2.037733793258667e-06,1.387670636177063e-07,7.171183824539185e-08,-1.5482407023093003e-14,-6.418476861114186e-17,2.2724877535296173e-16,2.037733808741074e-06,1.3876706368189107e-07,7.171183801814307e-08
|
||||
13,coarse,1,8.762392122996232e-08,0.40144193790160176,True,-4.213303327560425e-06,-1.1920928955078125e-07,4.0978193283081055e-08,-2.413347299778934e-14,1.249000902703301e-16,-4.718447854656915e-16,-4.213303303426952e-06,-1.1920928967568134e-07,4.097819375492584e-08
|
||||
14,fine,1,6.41577777571456e-08,0.3027343237918107,True,2.5937333703041077e-06,2.3562461137771606e-07,1.5087425708770752e-07,-1.5074747006238454e-14,3.469446951953614e-17,-2.7755575615628914e-17,2.5937333853788547e-06,2.356246113430216e-07,1.508742571154631e-07
|
||||
14,fine,2,8.133550555289304e-08,0.27001943973665604,True,2.884306013584137e-06,1.3597309589385986e-07,1.3690441846847534e-07,-1.4148404670066839e-14,-1.8388068845354155e-16,-1.3530843112619095e-16,2.8843060277325416e-06,1.3597309607774055e-07,1.3690441860378377e-07
|
||||
14,coarse,1,9.602967243615979e-08,0.3371390787341595,True,-2.9336661100387573e-06,1.5087425708770752e-07,1.2479722499847412e-07,-2.4147350785597155e-14,7.494005416219807e-16,-1.942890293094024e-16,-2.9336660858914065e-06,1.5087425633830698e-07,1.2479722519276315e-07
|
||||
15,fine,1,6.68482650345581e-08,0.3076171427746889,True,2.0759180188179016e-06,3.3527612686157227e-08,3.3527612686157227e-08,-1.462545362596046e-14,2.654126918244515e-16,-3.694961003830599e-16,2.0759180334433552e-06,3.3527612420744535e-08,3.352761305565333e-08
|
||||
15,fine,2,7.512668886988649e-08,0.28124994080281324,True,2.1229498088359833e-06,1.2246891856193542e-07,1.4388933777809143e-07,-1.3600232051658168e-14,-2.6020852139652106e-16,-4.0245584642661925e-16,2.1229498224362153e-06,1.2246891882214395e-07,1.4388933818054728e-07
|
||||
15,coarse,1,1.0723740850870911e-07,0.41406218567886527,True,-3.604218363761902e-06,2.514570951461792e-07,2.8870999813079834e-07,-2.2641610808449286e-14,2.2898349882893854e-16,-2.8449465006019636e-16,-3.604218341120291e-06,2.514570949171957e-07,2.88709998415293e-07
|
||||
16,fine,1,7.098747656364424e-08,0.32714839408436125,True,2.566725015640259e-06,9.033828973770142e-08,6.426125764846802e-08,-1.4136261605735001e-14,5.724587470723463e-17,3.7296554733501353e-16,2.5667250297765204e-06,9.033828968045554e-08,6.426125727550247e-08
|
||||
16,fine,2,6.767610849500727e-08,0.28320307876856565,True,2.248678356409073e-06,1.969747245311737e-07,2.3748725652694702e-08,-1.4096362965787534e-14,-1.7694179454963432e-16,-2.6020852139652106e-16,2.248678370505436e-06,1.969747247081155e-07,2.3748725912903224e-08
|
||||
16,coarse,1,1.1131294752608767e-07,0.344951775990682,True,-8.195638656616211e-07,2.5704503059387207e-07,3.7997961044311523e-07,-2.4764912343044898e-14,-8.673617379884035e-16,7.632783294297951e-17,-8.195638408967088e-07,2.570450314612338e-07,3.799796103667874e-07
|
||||
17,fine,1,6.063944912870767e-08,0.2998044890847571,True,2.319924533367157e-06,9.406358003616333e-08,6.798654794692993e-08,-1.590221010427939e-14,1.1622647289044608e-16,-2.237793284010081e-16,2.319924549269367e-06,9.406357991993686e-08,6.798654817070926e-08
|
||||
17,fine,2,8.506079685055568e-08,0.3017577892533187,True,2.0246952772140503e-06,1.4808028936386108e-07,4.190951585769653e-08,-1.4058199049316045e-14,-9.367506770274758e-17,-2.463307335887066e-16,2.0246952912722493e-06,1.4808028945753615e-07,4.190951610402727e-08
|
||||
17,coarse,1,8.329367096049367e-08,0.37439878535241283,True,-2.942979335784912e-07,1.2665987014770508e-07,2.5331974029541016e-07,-2.1892210266827306e-14,4.926614671774132e-16,9.020562075079397e-17,-2.9429791168628094e-07,1.266598696550436e-07,2.5331974020520454e-07
|
||||
18,fine,1,6.995265811049478e-08,0.2617189776211021,True,1.6298145055770874e-06,5.494803190231323e-08,-3.5390257835388184e-08,-1.580506558962469e-14,-1.8561541192951836e-16,5.204170427930421e-18,1.629814521382153e-06,5.4948032087928644e-08,-3.5390257840592354e-08
|
||||
18,fine,2,6.477865954757078e-08,0.30517565195263086,True,1.5725381672382355e-06,4.423782229423523e-08,-3.771856427192688e-08,-1.470698562933137e-14,1.5612511283791264e-16,-1.7694179454963432e-16,1.572538181945221e-06,4.4237822138110117e-08,-3.7718564094985085e-08
|
||||
18,coarse,1,1.1793568432949542e-07,0.4212736354253594,True,-1.5087425708770752e-06,-1.043081283569336e-07,3.3527612686157227e-07,-2.4147350785597155e-14,2.0816681711721685e-16,3.608224830031759e-16,-1.5087425467297244e-06,-1.0430812856510041e-07,3.352761265007498e-07
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||||
19,fine,1,6.871091096094517e-08,0.31933573148866196,True,1.2880191206932068e-06,1.7043203115463257e-07,-9.12696123123169e-08,-1.4236875567341656e-14,2.0990154059319366e-16,2.8622937353617317e-16,1.2880191349300824e-06,1.7043203094473103e-07,-9.126961259854627e-08
|
||||
19,fine,2,7.491972742190711e-08,0.24023424324702233,True,1.1730007827281952e-06,-2.468004822731018e-08,-1.327134668827057e-07,-1.3513495877859327e-14,-1.0061396160665481e-16,-8.673617379884035e-17,1.173000796241691e-06,-2.468004812669622e-08,-1.3271346679596951e-07
|
||||
19,coarse,1,9.475610251996613e-08,0.35516793189978335,True,-1.5124678611755371e-06,8.940696716308594e-08,1.7136335372924805e-07,-2.3293866835416566e-14,1.3183898417423734e-16,7.147060721024445e-16,-1.5124678378816703e-06,8.940696703124695e-08,1.7136335301454197e-07
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||||
20,fine,1,7.098746790390464e-08,0.2802732595156336,True,1.6228295862674713e-06,4.423782229423523e-08,-2.277083694934845e-07,-1.5477202852665073e-14,1.8735013540549517e-16,2.7755575615628914e-17,1.6228296017446742e-06,4.4237822106885094e-08,-2.2770836952124007e-07
|
||||
20,fine,2,8.112854432695826e-08,0.32421854647703796,True,1.5408731997013092e-06,6.05359673500061e-09,-2.2863969206809998e-07,-1.490300938211675e-14,3.2439329000766293e-16,-1.0234868508263162e-16,1.5408732146043186e-06,6.05359641060732e-09,-2.286396919657513e-07
|
||||
20,coarse,1,9.781275722708926e-08,0.4218746642002769,True,-6.798654794692993e-07,-1.8812716007232666e-07,6.146728992462158e-08,-2.1871393585115584e-14,-1.1102230246251565e-16,9.43689570931383e-16,-6.798654575979057e-07,-1.8812715996130436e-07,6.146728898093201e-08
|
||||
21,fine,1,7.30570710594236e-08,0.2949216850976223,True,1.6815029084682465e-06,4.237517714500427e-08,-1.2712553143501282e-07,-1.4618514732056553e-14,8.500145032286355e-17,3.625572064791527e-16,1.6815029230867612e-06,4.237517706000282e-08,-1.2712553179757002e-07
|
||||
21,fine,2,6.68482604826437e-08,0.2656249015126583,True,1.530628651380539e-06,6.472691893577576e-08,-1.0104849934577942e-07,-1.4838824613505608e-14,-3.2612801348363973e-16,4.85722573273506e-17,1.5306286662193636e-06,6.472691926190377e-08,-1.0104849939435168e-07
|
||||
21,coarse,1,1.1487904549856154e-07,0.3810092874429201,True,-8.23289155960083e-07,-2.5704503059387207e-07,3.0174851417541504e-07,-2.7519653222896068e-14,-1.3877787807814457e-16,-8.326672684688674e-16,-8.232891284404298e-07,-2.570450304550942e-07,3.017485150080823e-07
|
||||
22,fine,1,6.788306161631397e-08,0.30419906371761746,True,1.2782402336597443e-06,1.816079020500183e-08,-2.416782081127167e-07,-1.4958520533348008e-14,-1.1275702593849246e-16,-8.153200337090993e-17,1.2782402486182648e-06,1.8160790317758857e-08,-2.4167820803118467e-07
|
||||
22,fine,2,7.098746757083774e-08,0.3193357487763267,True,1.34296715259552e-06,4.190951585769653e-08,-1.3690441846847534e-07,-1.436524510456394e-14,2.2551405187698492e-17,-4.0419056990259605e-16,1.3429671669607651e-06,4.190951583514513e-08,-1.3690441806428477e-07
|
||||
22,coarse,1,9.781274745712665e-08,0.4098554174530562,True,-2.427026629447937e-06,-2.1047890186309814e-07,-5.4016709327697754e-08,-2.54379850517239e-14,4.0245584642661925e-16,4.3021142204224816e-16,-2.427026604009952e-06,-2.10478902265554e-07,-5.4016709757909176e-08
|
||||
23,fine,1,8.754431335411539e-08,0.26367162956761353,True,1.911073923110962e-06,9.96515154838562e-08,-1.434236764907837e-07,-1.4030443473700416e-14,-3.3306690738754696e-16,-3.434752482434078e-16,1.9110739371414054e-06,9.965151581692311e-08,-1.4342367614730844e-07
|
||||
23,fine,2,7.491972731088481e-08,0.29589836062223757,True,9.583309292793274e-07,1.4808028936386108e-07,-8.381903171539307e-08,-1.40391170910803e-14,-1.5439038936193583e-16,3.2959746043559335e-17,9.583309433184445e-07,1.4808028951825147e-07,-8.381903174835281e-08
|
||||
23,coarse,1,9.883161822266118e-08,0.46394191845799526,True,-4.954636096954346e-07,-6.332993507385254e-08,1.2665987014770508e-07,-2.6922908347160046e-14,2.220446049250313e-16,1.942890293094024e-16,-4.954635827725262e-07,-6.332993529589714e-08,1.2665986995341605e-07
|
||||
24,fine,1,7.098748533440613e-08,0.34619121759181026,True,1.4575198292732239e-06,1.043081283569336e-07,-1.0058283805847168e-07,-1.4247283908197517e-14,8.153200337090993e-17,1.474514954580286e-16,1.4575198435205078e-06,1.0430812827540159e-07,-1.0058283820592318e-07
|
||||
24,fine,2,7.823108527649225e-08,0.30419908362462666,True,6.756745278835297e-07,2.0256265997886658e-07,-4.7031790018081665e-08,-1.4353102040232102e-14,-2.8449465006019636e-16,-1.8041124150158794e-16,6.756745422366317e-07,2.0256266026336123e-07,-4.7031789837670424e-08
|
||||
24,coarse,1,1.0749213752436759e-07,0.3774035044304019,True,-4.043802618980408e-06,-1.2852251529693604e-07,3.520399332046509e-07,-2.2246093855926574e-14,4.85722573273506e-16,1.3877787807814457e-17,-4.043802596734314e-06,-1.285225157826586e-07,3.520399331907731e-07
|
||||
|
@@ -1,25 +0,0 @@
|
||||
step,time,average_bound_ratio,leaf_m,leaf_px,leaf_py,delta_m,delta_px,delta_py,boundary_m,boundary_px,boundary_py,fine_transfer_m,fine_transfer_px,fine_transfer_py,coarse_transfer_m,coarse_transfer_px,coarse_transfer_py,raw_m,raw_px,raw_py,collision_drift_m,collision_drift_px,collision_drift_py,average_rounding_m,average_rounding_px,average_rounding_py,closure_m,closure_px,closure_py,cumulative_raw_m,cumulative_raw_px,cumulative_raw_py,cumulative_closure_m,cumulative_closure_px,cumulative_closure_py
|
||||
1,1,0.28124994289828603,560.7500186339021,-1.4901161193847656e-08,-3.3527612686157227e-07,1.4455989003181458e-05,-1.4901161193847656e-08,-3.3527612686157227e-07,1.1175870895385742e-08,0.0,0.0,-3.557652235031128e-07,0.0,0.0,5.308538675308228e-07,-1.862645149230957e-09,-1.7695128917694092e-07,1.4269724488258362e-05,-1.30385160446167e-08,-1.5832483768463135e-07,1.4269724488258362e-05,-1.30385160446167e-08,-1.5832483768463135e-07,1.7508864402770996e-07,-1.862645149230957e-09,-1.7695128917694092e-07,0.0,0.0,0.0,1.4269724488258362e-05,-1.30385160446167e-08,-1.5832483768463135e-07,0.0,0.0,0.0
|
||||
2,2,0.37499987985940486,560.7500202683732,-5.038455128669739e-07,-6.919726729393005e-07,1.6344711184501648e-06,-4.889443516731262e-07,-3.5669654607772827e-07,2.9802322387695312e-08,0.0,0.0,-2.193264663219452e-06,-4.6566128730773926e-09,-1.685693860054016e-07,2.032145857810974e-06,-1.5087425708770752e-07,1.695007085800171e-07,1.7657876014709473e-06,-3.334134817123413e-07,-3.5762786865234375e-07,1.7657876014709473e-06,-3.334134817123413e-07,-3.5762786865234375e-07,-1.6111880540847778e-07,-1.555308699607849e-07,9.313225746154785e-10,0.0,0.0,0.0,1.603551208972931e-05,-3.46451997756958e-07,-5.159527063369751e-07,0.0,0.0,0.0
|
||||
3,3,0.2812499146093721,560.750041406136,4.516914486885071e-08,-2.0442530512809753e-07,2.1137762814760208e-05,5.490146577358246e-07,4.87547367811203e-07,2.9802322387695312e-08,0.0,0.0,-3.6400742828845978e-06,4.698522388935089e-07,4.6798959374427795e-07,3.641471266746521e-06,-4.637986421585083e-07,-4.600733518600464e-07,2.110656350851059e-05,5.42961061000824e-07,4.796311259269714e-07,2.110656350851059e-05,5.42961061000824e-07,4.796311259269714e-07,1.3969838619232178e-09,6.05359673500061e-09,7.916241884231567e-09,0.0,0.0,0.0,3.71420755982399e-05,1.9650906324386597e-07,-3.632158041000366e-08,0.0,0.0,0.0
|
||||
4,4,0.37499987985940486,560.7500747130252,1.3741664588451385e-06,9.83942300081253e-07,3.330688923597336e-05,1.3289973139762878e-06,1.1883676052093506e-06,2.9802322387695312e-08,0.0,0.0,-6.910879164934158e-06,3.1711533665657043e-07,3.9534643292427063e-07,6.800517439842224e-06,-2.6263296604156494e-07,-3.371387720108032e-07,3.33874486386776e-05,1.2745149433612823e-06,1.1301599442958832e-06,3.33874486386776e-05,1.2745149433612823e-06,1.1301599442958832e-06,-1.103617250919342e-07,5.448237061500549e-08,5.820766091346741e-08,0.0,0.0,0.0,7.05295242369175e-05,1.4710240066051483e-06,1.0938383638858795e-06,0.0,0.0,0.0
|
||||
5,5,0.3749998295680158,560.7501105009578,2.3622997105121613e-06,2.369750291109085e-06,3.578793257474899e-05,9.881332516670227e-07,1.385807991027832e-06,2.9802322387695312e-08,0.0,0.0,-7.287599146366119e-06,1.0672956705093384e-06,4.637986421585083e-07,7.417052984237671e-06,-1.0095536708831787e-06,-4.023313522338867e-07,3.5628676414489746e-05,9.30391252040863e-07,1.3243407011032104e-06,3.5628676414489746e-05,9.30391252040863e-07,1.3243407011032104e-06,1.2945383787155151e-07,5.774199962615967e-08,6.146728992462158e-08,0.0,0.0,0.0,0.00010615820065140724,2.4014152586460114e-06,2.41817906498909e-06,0.0,0.0,0.0
|
||||
6,6,0.46874973195382685,560.7501414637081,2.941582351922989e-06,2.4265609681606293e-06,3.09627503156662e-05,5.792826414108276e-07,5.681067705154419e-08,2.9802322387695312e-08,0.0,0.0,-5.653128027915955e-06,6.584450602531433e-07,-5.960464477539063e-08,5.5246055126190186e-06,-7.562339305877686e-07,-4.470348358154297e-08,3.106147050857544e-05,6.770715117454529e-07,1.6111880540847778e-07,3.106147050857544e-05,6.770715117454529e-07,1.6111880540847778e-07,-1.2852251529693604e-07,-9.778887033462524e-08,-1.043081283569336e-07,0.0,0.0,0.0,0.00013721967115998268,3.0784867703914642e-06,2.5792978703975677e-06,0.0,0.0,0.0
|
||||
7,7,0.4687496533735736,560.7501708613709,3.914348781108856e-06,2.1560117602348328e-06,2.9397662729024887e-05,9.727664291858673e-07,-2.705492079257965e-07,7.869675755500793e-08,-9.546056389808655e-08,-6.100162863731384e-08,-4.661735147237778e-06,2.398155629634857e-07,-5.2619725465774536e-08,4.654750227928162e-06,-2.849847078323364e-07,3.5390257835388184e-08,2.9325950890779495e-05,1.1133961379528046e-06,-1.9231811165809631e-07,2.9325950890779495e-05,1.1133961379528046e-06,-1.9231811165809631e-07,-6.984919309616089e-09,-4.516914486885071e-08,-1.7229467630386353e-08,0.0,0.0,0.0,0.00016654562205076218,4.191882908344269e-06,2.3869797587394714e-06,0.0,0.0,0.0
|
||||
8,8,0.4687496533735736,560.7501910906285,4.438683390617371e-06,1.5152618288993835e-06,2.022925764322281e-05,5.243346095085144e-07,-6.407499313354492e-07,1.3690441846847534e-07,-7.078051567077637e-08,-5.029141902923584e-08,-4.91878017783165e-06,4.409812390804291e-07,1.2619420886039734e-07,4.896894097328186e-06,-5.047768354415894e-07,-2.0302832126617432e-07,2.0114239305257797e-05,6.58910721540451e-07,-5.136243999004364e-07,2.0114239305257797e-05,6.58910721540451e-07,-5.136243999004364e-07,-2.1886080503463745e-08,-6.379559636116028e-08,-7.683411240577698e-08,0.0,0.0,0.0,0.00018665986135601997,4.85079362988472e-06,1.873355358839035e-06,0.0,0.0,0.0
|
||||
9,9,0.37499998044222344,560.7502015968785,4.073604941368103e-06,6.379559636116028e-07,1.0506249964237213e-05,-3.650784492492676e-07,-8.773058652877808e-07,6.28642737865448e-08,-2.3050233721733093e-07,-2.6496127247810364e-07,-5.146954208612442e-06,3.5157427191734314e-07,-1.9790604710578918e-07,5.0961971282958984e-06,-3.427267074584961e-07,1.9371509552001953e-07,1.0494142770767212e-05,-1.434236764907837e-07,-6.081536412239075e-07,1.0494142770767212e-05,-1.434236764907837e-07,-6.081536412239075e-07,-5.075708031654358e-08,8.847564458847046e-09,-4.190951585769653e-09,0.0,0.0,0.0,0.00019715400412678719,4.707369953393936e-06,1.2652017176151276e-06,0.0,0.0,0.0
|
||||
10,10,0.4687496533735736,560.7502107927576,3.5660341382026672e-06,6.789341568946838e-07,9.195879101753235e-06,-5.075708031654358e-07,4.0978193283081055e-08,-1.1129304766654968e-07,-9.452924132347107e-08,-2.975575625896454e-07,-5.0514936447143555e-06,1.5739351511001587e-07,-6.798654794692993e-08,4.997476935386658e-06,-1.471489667892456e-07,3.91155481338501e-08,9.361188858747482e-06,-4.23286110162735e-07,3.674067556858063e-07,9.361188858747482e-06,-4.23286110162735e-07,3.674067556858063e-07,-5.4016709327697754e-08,1.0244548320770264e-08,-2.8870999813079834e-08,0.0,0.0,0.0,0.00020651519298553467,4.284083843231201e-06,1.6326084733009338e-06,0.0,0.0,0.0
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||||
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||||
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|
||||
},
|
||||
"new_source": "examples/fixed_patch_jet.py"
|
||||
}
|
||||
@@ -1,8 +0,0 @@
|
||||
{
|
||||
"utc": "2026-10-13T11:37:44.074597+00:00",
|
||||
"physical_device": 0,
|
||||
"uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
|
||||
"gpus": "index, uuid, name, memory.used [MiB], memory.free [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n",
|
||||
"compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
|
||||
"ram_available_bytes": 64097140736
|
||||
}
|
||||
@@ -1,179 +0,0 @@
|
||||
"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
|
||||
|
||||
From this checkout, after checking the selected physical GPU is idle:
|
||||
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
|
||||
|
||||
The fixed-amplitude start includes acoustic transients, not a developed jet.
|
||||
Only native leaf cells are plotted. No interpolation, restart or flow oracle.
|
||||
"""
|
||||
import argparse
|
||||
from dataclasses import replace
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
import tempfile
|
||||
import time
|
||||
|
||||
import numpy as np
|
||||
|
||||
import CelerisLab
|
||||
from CelerisLab.config import load_lbm_config
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
|
||||
from CelerisLab.lbm.refinement import ACTIVE
|
||||
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
|
||||
|
||||
BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
|
||||
TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
|
||||
|
||||
|
||||
def measure(arrays, masks, centers, initial_mass):
|
||||
fields = []
|
||||
for array, mask in zip(arrays, masks):
|
||||
if not np.isfinite(array[:, mask]).all():
|
||||
raise RuntimeError("Nonfinite leaf populations")
|
||||
field = np.full((*mask.shape, 3), np.nan)
|
||||
field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
|
||||
fields.append(field)
|
||||
leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
|
||||
speed = np.hypot(leaves[:, 1], leaves[:, 2])
|
||||
mass = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
for area, a, m in zip((1, .25), arrays, masks))
|
||||
record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
|
||||
rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
|
||||
measured_Ma=float(speed.max()*np.sqrt(3)),
|
||||
density_deviation=float(np.abs(leaves[:, 0]-1).max()),
|
||||
discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
|
||||
if not record['finite'] or record['rho_min'] <= 0 or record['measured_Ma'] > MAX_MACH:
|
||||
raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
|
||||
walls = fields[0][[1, -2]]
|
||||
record['macro_sum_rho_v_bottom_top'] = (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()
|
||||
record['centerline'] = []
|
||||
for level, y in ((0, 3.5), (1, 8.25), (1, 16.25), (0, 32.5)):
|
||||
xs, ys = centers[level]
|
||||
columns = np.argsort(np.abs(xs-24))[:2]
|
||||
row = int(np.flatnonzero(ys == y)[0])
|
||||
values = fields[level][row, columns].mean(axis=0)
|
||||
record['centerline'].append(dict(level=level, x=24, y=y,
|
||||
sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
|
||||
rho_ux_uy=values.tolist()))
|
||||
return fields, record
|
||||
|
||||
|
||||
def draw(out, snapshots, masks, centers):
|
||||
import matplotlib
|
||||
matplotlib.use('Agg')
|
||||
import matplotlib.pyplot as plt
|
||||
from matplotlib.collections import PolyCollection
|
||||
|
||||
def decorate(ax):
|
||||
ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
|
||||
ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
|
||||
ax.axhline(1.5, color='black', lw=1)
|
||||
ax.axhline(46.5, color='black', lw=1, ls='--')
|
||||
ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
|
||||
|
||||
fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
|
||||
for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
|
||||
yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
cells = np.stack((xx[mask], yy[mask]), axis=-1)
|
||||
vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
|
||||
ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
|
||||
decorate(ax)
|
||||
ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\nRed: internal patch; orange: coarse slot; dashed: reservoir')
|
||||
fig.savefig(out/'layout.png', dpi=150)
|
||||
plt.close(fig)
|
||||
vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
|
||||
for fields in snapshots for f in fields))
|
||||
fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
|
||||
for ax, step, fields in zip(axes, TIMES, snapshots):
|
||||
for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
|
||||
speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
|
||||
image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
|
||||
np.r_[ys-dx/2, ys[-1]+dx/2], speed,
|
||||
shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
|
||||
stride = int(4/dx)
|
||||
yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
selection = np.zeros_like(mask)
|
||||
selection[::stride, ::stride] = mask[::stride, ::stride]
|
||||
ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
|
||||
angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
|
||||
decorate(ax)
|
||||
ax.set_title(f'coarse t={step}, fine steps={2*step}')
|
||||
fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
|
||||
fig.suptitle('Low-Re startup flow in an x-periodic confined domain\nFixed-amplitude start includes acoustic transients; not steady/developed')
|
||||
fig.savefig(out/'velocity.png', dpi=150)
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description=__doc__)
|
||||
parser.add_argument('--output', type=Path, required=True)
|
||||
out = parser.parse_args().output.resolve()
|
||||
root = Path(__file__).resolve().parents[1]
|
||||
if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
|
||||
raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
|
||||
out.mkdir(parents=True, exist_ok=False)
|
||||
cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
|
||||
nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
|
||||
wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
|
||||
lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
|
||||
store_precision='FP32', ddf_shifting=False, les_enabled=False)
|
||||
report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
|
||||
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
|
||||
guards=dict(check_every=50, positive_density=True, finite=True,
|
||||
max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
|
||||
notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
|
||||
'Boundary rho*v is a macro measurement, not a closed population budget.',
|
||||
samples=[], status='running', last_synchronized_coarse_step=0)
|
||||
start, run = time.monotonic(), None
|
||||
try:
|
||||
with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
|
||||
coarse_boundary='slot_reservoir') as run:
|
||||
p = run.patch
|
||||
masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
|
||||
masks[0][[0, -1]] = False
|
||||
masks[0][4:28, 16:32] = False
|
||||
centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
|
||||
origin[1]+dx*(np.arange(shape[0])+.5))
|
||||
for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
|
||||
(p.fine_shape, p.fine_origin, .5))]
|
||||
initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
|
||||
for m in masks]
|
||||
for x in range(cfg.nx):
|
||||
v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
|
||||
initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
|
||||
run.initialize(*initial)
|
||||
mass0 = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
for area, a, m in zip((1, .25), initial, masks))
|
||||
snapshots = []
|
||||
for step in range(0, TIMES[-1]+1, 50):
|
||||
if time.monotonic()-start > MAX_SECONDS:
|
||||
raise TimeoutError('120 second demonstration limit reached')
|
||||
if step:
|
||||
run.step(50)
|
||||
report['last_synchronized_coarse_step'] = run.step_count
|
||||
fields, sample = measure(run.download(), masks, centers, mass0)
|
||||
print(f'step={step} rho=[{sample["rho_min"]:.7g},{sample["rho_max"]:.7g}] '
|
||||
f'Ma={sample["measured_Ma"]:.7g}', flush=True)
|
||||
if step in TIMES:
|
||||
sample.update(coarse_steps=step, fine_steps=2*step)
|
||||
report['samples'].append(sample)
|
||||
snapshots.append(fields)
|
||||
with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
|
||||
os.environ['MPLCONFIGDIR'] = cache
|
||||
draw(out, snapshots, masks, centers)
|
||||
report['status'] = 'complete'
|
||||
except BaseException as exc:
|
||||
report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
|
||||
last_synchronized_coarse_step=run.step_count if run is not None else 0)
|
||||
raise
|
||||
finally:
|
||||
report['elapsed_seconds'] = time.monotonic()-start
|
||||
(out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
|
||||
print(f'{report["status"]}: last synchronized coarse step '
|
||||
f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -1,182 +0,0 @@
|
||||
--- /dev/null
|
||||
+++ b/examples/fixed_patch_jet.py
|
||||
@@ -0,0 +1,179 @@
|
||||
+"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
|
||||
+
|
||||
+From this checkout, after checking the selected physical GPU is idle:
|
||||
+ PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
|
||||
+
|
||||
+The fixed-amplitude start includes acoustic transients, not a developed jet.
|
||||
+Only native leaf cells are plotted. No interpolation, restart or flow oracle.
|
||||
+"""
|
||||
+import argparse
|
||||
+from dataclasses import replace
|
||||
+import json
|
||||
+import os
|
||||
+from pathlib import Path
|
||||
+import tempfile
|
||||
+import time
|
||||
+
|
||||
+import numpy as np
|
||||
+
|
||||
+import CelerisLab
|
||||
+from CelerisLab.config import load_lbm_config
|
||||
+from CelerisLab.cuda.context import CudaContext
|
||||
+from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
|
||||
+from CelerisLab.lbm.refinement import ACTIVE
|
||||
+from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
|
||||
+
|
||||
+BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
|
||||
+TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
|
||||
+
|
||||
+
|
||||
+def measure(arrays, masks, centers, initial_mass):
|
||||
+ fields = []
|
||||
+ for array, mask in zip(arrays, masks):
|
||||
+ if not np.isfinite(array[:, mask]).all():
|
||||
+ raise RuntimeError("Nonfinite leaf populations")
|
||||
+ field = np.full((*mask.shape, 3), np.nan)
|
||||
+ field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
|
||||
+ fields.append(field)
|
||||
+ leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
|
||||
+ speed = np.hypot(leaves[:, 1], leaves[:, 2])
|
||||
+ mass = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
+ for area, a, m in zip((1, .25), arrays, masks))
|
||||
+ record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
|
||||
+ rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
|
||||
+ measured_Ma=float(speed.max()*np.sqrt(3)),
|
||||
+ density_deviation=float(np.abs(leaves[:, 0]-1).max()),
|
||||
+ discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
|
||||
+ if not record['finite'] or record['rho_min'] <= 0 or record['measured_Ma'] > MAX_MACH:
|
||||
+ raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
|
||||
+ walls = fields[0][[1, -2]]
|
||||
+ record['macro_sum_rho_v_bottom_top'] = (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()
|
||||
+ record['centerline'] = []
|
||||
+ for level, y in ((0, 3.5), (1, 8.25), (1, 16.25), (0, 32.5)):
|
||||
+ xs, ys = centers[level]
|
||||
+ columns = np.argsort(np.abs(xs-24))[:2]
|
||||
+ row = int(np.flatnonzero(ys == y)[0])
|
||||
+ values = fields[level][row, columns].mean(axis=0)
|
||||
+ record['centerline'].append(dict(level=level, x=24, y=y,
|
||||
+ sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
|
||||
+ rho_ux_uy=values.tolist()))
|
||||
+ return fields, record
|
||||
+
|
||||
+
|
||||
+def draw(out, snapshots, masks, centers):
|
||||
+ import matplotlib
|
||||
+ matplotlib.use('Agg')
|
||||
+ import matplotlib.pyplot as plt
|
||||
+ from matplotlib.collections import PolyCollection
|
||||
+
|
||||
+ def decorate(ax):
|
||||
+ ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
|
||||
+ ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
|
||||
+ ax.axhline(1.5, color='black', lw=1)
|
||||
+ ax.axhline(46.5, color='black', lw=1, ls='--')
|
||||
+ ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
|
||||
+
|
||||
+ fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
|
||||
+ for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
|
||||
+ yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
+ cells = np.stack((xx[mask], yy[mask]), axis=-1)
|
||||
+ vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
|
||||
+ ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
|
||||
+ decorate(ax)
|
||||
+ ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\nRed: internal patch; orange: coarse slot; dashed: reservoir')
|
||||
+ fig.savefig(out/'layout.png', dpi=150)
|
||||
+ plt.close(fig)
|
||||
+ vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
|
||||
+ for fields in snapshots for f in fields))
|
||||
+ fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
|
||||
+ for ax, step, fields in zip(axes, TIMES, snapshots):
|
||||
+ for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
|
||||
+ speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
|
||||
+ image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
|
||||
+ np.r_[ys-dx/2, ys[-1]+dx/2], speed,
|
||||
+ shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
|
||||
+ stride = int(4/dx)
|
||||
+ yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
+ selection = np.zeros_like(mask)
|
||||
+ selection[::stride, ::stride] = mask[::stride, ::stride]
|
||||
+ ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
|
||||
+ angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
|
||||
+ decorate(ax)
|
||||
+ ax.set_title(f'coarse t={step}, fine steps={2*step}')
|
||||
+ fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
|
||||
+ fig.suptitle('Low-Re startup flow in an x-periodic confined domain\nFixed-amplitude start includes acoustic transients; not steady/developed')
|
||||
+ fig.savefig(out/'velocity.png', dpi=150)
|
||||
+ plt.close(fig)
|
||||
+
|
||||
+
|
||||
+def main():
|
||||
+ parser = argparse.ArgumentParser(description=__doc__)
|
||||
+ parser.add_argument('--output', type=Path, required=True)
|
||||
+ out = parser.parse_args().output.resolve()
|
||||
+ root = Path(__file__).resolve().parents[1]
|
||||
+ if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
|
||||
+ raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
|
||||
+ out.mkdir(parents=True, exist_ok=False)
|
||||
+ cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
|
||||
+ nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
|
||||
+ wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
|
||||
+ lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
|
||||
+ store_precision='FP32', ddf_shifting=False, les_enabled=False)
|
||||
+ report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
|
||||
+ rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
|
||||
+ guards=dict(check_every=50, positive_density=True, finite=True,
|
||||
+ max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
|
||||
+ notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
|
||||
+ 'Boundary rho*v is a macro measurement, not a closed population budget.',
|
||||
+ samples=[], status='running', last_synchronized_coarse_step=0)
|
||||
+ start, run = time.monotonic(), None
|
||||
+ try:
|
||||
+ with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
|
||||
+ coarse_boundary='slot_reservoir') as run:
|
||||
+ p = run.patch
|
||||
+ masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
|
||||
+ masks[0][[0, -1]] = False
|
||||
+ masks[0][4:28, 16:32] = False
|
||||
+ centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
|
||||
+ origin[1]+dx*(np.arange(shape[0])+.5))
|
||||
+ for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
|
||||
+ (p.fine_shape, p.fine_origin, .5))]
|
||||
+ initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
|
||||
+ for m in masks]
|
||||
+ for x in range(cfg.nx):
|
||||
+ v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
|
||||
+ initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
|
||||
+ run.initialize(*initial)
|
||||
+ mass0 = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
+ for area, a, m in zip((1, .25), initial, masks))
|
||||
+ snapshots = []
|
||||
+ for step in range(0, TIMES[-1]+1, 50):
|
||||
+ if time.monotonic()-start > MAX_SECONDS:
|
||||
+ raise TimeoutError('120 second demonstration limit reached')
|
||||
+ if step:
|
||||
+ run.step(50)
|
||||
+ report['last_synchronized_coarse_step'] = run.step_count
|
||||
+ fields, sample = measure(run.download(), masks, centers, mass0)
|
||||
+ print(f'step={step} rho=[{sample["rho_min"]:.7g},{sample["rho_max"]:.7g}] '
|
||||
+ f'Ma={sample["measured_Ma"]:.7g}', flush=True)
|
||||
+ if step in TIMES:
|
||||
+ sample.update(coarse_steps=step, fine_steps=2*step)
|
||||
+ report['samples'].append(sample)
|
||||
+ snapshots.append(fields)
|
||||
+ with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
|
||||
+ os.environ['MPLCONFIGDIR'] = cache
|
||||
+ draw(out, snapshots, masks, centers)
|
||||
+ report['status'] = 'complete'
|
||||
+ except BaseException as exc:
|
||||
+ report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
|
||||
+ last_synchronized_coarse_step=run.step_count if run is not None else 0)
|
||||
+ raise
|
||||
+ finally:
|
||||
+ report['elapsed_seconds'] = time.monotonic()-start
|
||||
+ (out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
|
||||
+ print(f'{report["status"]}: last synchronized coarse step '
|
||||
+ f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
|
||||
+
|
||||
+
|
||||
+if __name__ == '__main__':
|
||||
+ main()
|
||||
@@ -1,53 +0,0 @@
|
||||
{
|
||||
"baseline_files_checked": 531,
|
||||
"all_baseline_files_unchanged": true,
|
||||
"new_source": "examples/fixed_patch_jet.py",
|
||||
"added_lines": 179,
|
||||
"actual_runs": 1,
|
||||
"exit_code": 0,
|
||||
"guard_checks": 25,
|
||||
"max_Mach_from_printed_checks": 0.03416159,
|
||||
"output_bytes": 159016,
|
||||
"files": {
|
||||
"examples/fixed_patch_jet.py": {
|
||||
"bytes": 9646,
|
||||
"sha256": "f27cd067fd7b9a7c6d7fab19fa471fe0617ee67889ae3931048557cc5659181b"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/incremental.patch": {
|
||||
"bytes": 9891,
|
||||
"sha256": "dd95a98f03b7ce06d024a1d1d1f454dd206ad10a573a8060f728bad71941d6e8"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/baseline.json": {
|
||||
"bytes": 69721,
|
||||
"sha256": "d2a83d490ca545589a7a7fc0e3fd187f4801e22e5c8d2d18ddb519097d3281b9"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/before.json": {
|
||||
"bytes": 690,
|
||||
"sha256": "dd47f1e25a807a3eafef7d12429f034117f945a4ebfeb98eb1688d1752c3d30d"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/notes.txt": {
|
||||
"bytes": 2214,
|
||||
"sha256": "155be36e201c9c8a043a87fc7a7d0064b703990b2aad86853767603fe38a256d"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/stdout.txt": {
|
||||
"bytes": 1272,
|
||||
"sha256": "925abb3038095560d71a4e7733b38d93672397640cc88197c733a8a39e2f9f51"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/results.json": {
|
||||
"bytes": 1100,
|
||||
"sha256": "fcd944b8dec61b399874b5386d6e00880f0dbc34d248ad371a6af8781fddaa93"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/output/summary.json": {
|
||||
"bytes": 6446,
|
||||
"sha256": "a9a4ab5975684a386f05746f570ec4d7b1c5ee3be413400445122448f534eca3"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/output/velocity.png": {
|
||||
"bytes": 108248,
|
||||
"sha256": "0f8ffc3a7b36ffefa5c0cd8550309fe89d9de72cd5476f354a27fac89cb39b0a"
|
||||
},
|
||||
"research/fixed_patch_jet_20261013/output/layout.png": {
|
||||
"bytes": 44322,
|
||||
"sha256": "cfc354c0192a5a9727a8056ff6c5bc4571f916143853e4da2dc16da965e10173"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,7 +0,0 @@
|
||||
Added only examples/fixed_patch_jet.py (179 lines). Existing backend, BC helper, tests, prior sources/evidence unchanged against this round baseline. No dependencies/environment/system edits, DynamisLab access, commit or push.
|
||||
Public API only: configuration loader + replace, equilibrium/macroscopic helpers, CudaContext, FixedPatchStepper(slot_reservoir). Native coarse/fine leaves, physical centers, on-site clipping Y=[1.5,46.5], no interpolation or oracle. Layout and three synchronized velocity panels inspected after run. Centerline values average two explicitly recorded neighboring native columns.
|
||||
One real production compile/run, no retry or parameter/tolerance changes: 1200 coarse /2400 fine steps, 25 successful checks including initial state, exit0. Predeclared checks every50 steps: all leaf populations/macros finite, density positive, measured Ma<=0.1. External120s resource watchdog. stdout.txt is directly redirected merged stdout/stderr, unmodified.
|
||||
Runtime resource results in results.json: elapsed7.101054s, peak sampled process-group RSS280051712 bytes, minimum available RAM63756603392 bytes, minimum GPU0 free15826MiB; peak combined task temporary/current output/prior refinement evidence1929396 bytes, below2GB. Monitoring is sampled, not an OS hard memory/disk limit; no256MiB RSS cap. Private compilation scratch and Matplotlib cache cleaned; temporary runner removed.
|
||||
Snapshots0/300/1200 are low-Re startup flow in an x-periodic confined domain. Fixed-amplitude startup includes acoustic transients; no steady/developed jet, vortex/head detector, uniform-coarse comparison or accuracy/conservation certification.
|
||||
Final rho range[0.99340069294,1.00000023842], measured Ma0.03416155101. Node mass2208.00001640618 ->2202.30112983007 (delta -5.69888657611); final macro boundary sums bottom0.12769020163, top0.03066523932. These node-weighted quantities are not an exact physical volume integral or a demonstrated population-budget closure. No mass-conservation assertion.
|
||||
Read-only delegate reviewed geometry, wall clipping, probes and safety. One reduction-order issue was corrected before the only run: initial/current node mass both sum populations in FP64. No post-run source changes.
|
||||
@@ -1,33 +0,0 @@
|
||||
{
|
||||
"command": [
|
||||
"/usr/bin/prlimit",
|
||||
"--core=0",
|
||||
"--",
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-B",
|
||||
"/home/frank14f/CelerisLab/examples/fixed_patch_jet.py",
|
||||
"--output",
|
||||
"/home/frank14f/CelerisLab/research/fixed_patch_jet_20261013/output"
|
||||
],
|
||||
"cwd": "/home/frank14f/CelerisLab",
|
||||
"environment": {
|
||||
"PYTHONPATH": "/home/frank14f/CelerisLab/src",
|
||||
"CUDA_VISIBLE_DEVICES": "0",
|
||||
"CUDA_CACHE_DISABLE": "1",
|
||||
"OPENBLAS_NUM_THREADS": "1",
|
||||
"PYTHONDONTWRITEBYTECODE": "1",
|
||||
"PYTHONNOUSERSITE": "1",
|
||||
"TMPDIR": "/tmp/celeris-jet-run-zdq8n25a"
|
||||
},
|
||||
"exit_code": 0,
|
||||
"elapsed_seconds": 7.101054363010917,
|
||||
"peak_sampled_group_rss_bytes": 280051712,
|
||||
"min_ram_available_bytes": 63756603392,
|
||||
"min_gpu_free_mib": 15826,
|
||||
"ram_reserve_bytes": 6409714073,
|
||||
"vram_reserve_mib": 1614,
|
||||
"peak_combined_temporary_and_refinement_evidence_bytes": 1929396,
|
||||
"temporary_budget_bytes": 2000000000,
|
||||
"termination_reason": null,
|
||||
"monitor": "Own process group RSS recorded, not capped; live RAM/VRAM and temp sampled, not OS hard limits"
|
||||
}
|
||||
@@ -1,26 +0,0 @@
|
||||
step=0 rho=[0.9999999,1] Ma=0.03416157
|
||||
step=50 rho=[0.9999995,1.009438] Ma=0.03416151
|
||||
step=100 rho=[0.9984777,1.010592] Ma=0.03416153
|
||||
step=150 rho=[0.9973579,1.003838] Ma=0.03416153
|
||||
step=200 rho=[0.9933594,1.000131] Ma=0.03416159
|
||||
step=250 rho=[0.9925539,1] Ma=0.03416156
|
||||
step=300 rho=[0.9937773,1.000459] Ma=0.03416155
|
||||
step=350 rho=[0.9999761,1.009384] Ma=0.03416157
|
||||
step=400 rho=[0.9999998,1.007331] Ma=0.03416151
|
||||
step=450 rho=[0.9997285,1.006167] Ma=0.03416155
|
||||
step=500 rho=[0.9933134,1.000157] Ma=0.03416156
|
||||
step=550 rho=[0.9927858,1] Ma=0.03416158
|
||||
step=600 rho=[0.9945809,1.000122] Ma=0.03416153
|
||||
step=650 rho=[0.9999998,1.006541] Ma=0.0341615
|
||||
step=700 rho=[0.9999998,1.007461] Ma=0.03416157
|
||||
step=750 rho=[0.9999998,1.007199] Ma=0.03416156
|
||||
step=800 rho=[0.9945453,1.000039] Ma=0.03416156
|
||||
step=850 rho=[0.9931565,1] Ma=0.03416155
|
||||
step=900 rho=[0.9935648,1] Ma=0.03416153
|
||||
step=950 rho=[0.9997682,1.005144] Ma=0.03416155
|
||||
step=1000 rho=[0.9999998,1.007829] Ma=0.03416158
|
||||
step=1050 rho=[0.9999998,1.007131] Ma=0.03416152
|
||||
step=1100 rho=[0.9964147,1.001809] Ma=0.03416152
|
||||
step=1150 rho=[0.9931713,1] Ma=0.03416154
|
||||
step=1200 rho=[0.9934007,1] Ma=0.03416155
|
||||
complete: last synchronized coarse step 1200; output=/home/frank14f/CelerisLab/research/fixed_patch_jet_20261013/output
|
||||
@@ -1,559 +0,0 @@
|
||||
{
|
||||
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|
||||
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"research/design-2026-10-09/jet-study.md": "a362142ef04a5ad5dbb4c9db9d221b1199dccec53780c8f2da49a15201cfe529",
|
||||
"research/design-2026-10-09/PLAN.zh-CN.md": "0341dd7ee306a040340c8e5dedb07a109e931c27dbf3c994d072aa78e3b6bc67",
|
||||
"research/design-2026-10-09/jet_closure_results.json": "12cf7d400a206f9f9ec9ea6ad251fe6bb0232e27bcbed22fbc1ead2c0fc7d249",
|
||||
"research/design-2026-10-09/grid-study.md": "4435dc1275ec5e15b118becc6ac391f306195d1e5beaa58037b1aff3bb2465c7",
|
||||
"research/design-2026-10-09/jet_closure_check.py": "fde45d0f8518740ef5c0bf0fe7635d6adaf9a2e789927dd4e68e991c138ddc30",
|
||||
"research/design-2026-10-09/api-architecture-study.md": "d6fb45ec784f0e1db55fb9f34e137b9f551db0b9b39fd4f0ef247a78fc34eedf",
|
||||
"research/design-2026-10-09/math_checks.py": "4254983a783fe4bad8888b3d7c243c87d991c7bbf242edb0f56f25cbaefee890",
|
||||
"research/refinement_example_20261013/incremental.patch": "6acd05df6669ccdcf234ac1680c6e76c75a2587974adb6728f7edda6fd625b69",
|
||||
"research/refinement_example_20261013/baseline.json": "ae0af15ddb40709d1e348655a665264984a240ded1e28af816a8000d08e784be",
|
||||
"research/refinement_example_20261013/manifest.json": "6da85ac513065dcf49200bc0872bec38b6c7ba61f7d82036c2189cabe5ac29ce",
|
||||
"research/refinement_example_20261013/before.json": "d95cd518f080eab92af5e53e1e9b6b6fad626eae51990e510d2d2f2ae9d0ec7b",
|
||||
"research/refinement_example_20261013/notes.txt": "f111f8cba94b43d1127945fa41615037e1740efcfc529e802338dd8c4ff02795",
|
||||
"research/refinement_example_20261013/stdout.txt": "9c59fb315a5552cce4ceab171003e425bf64d747137c89bd86d8779a34adcbd1",
|
||||
"research/refinement_example_20261013/results.json": "8ab13bbc022f2a66898aa07ed94f43cb6716570e7a360a809b7fcd097316db7e",
|
||||
"research/j3-reservoir-2026-10-12/gpu-availability-sandbox.log": "1d58470512e583a0acfabf6896ee5f31e5b493b8231aed54b864f64eb275b02c",
|
||||
"research/j3-reservoir-2026-10-12/REVIEW.md": "1ea5f860728584ea6cbe40ba3994e40471102d8e2cf6d93e28fe47222cba0cab",
|
||||
"research/j3-reservoir-2026-10-12/baseline-status.txt": "0ef1a8c9878c4053ebc1a7d4bace6d4ec38bf27ace167b4239ddbb1c6c897e20",
|
||||
"research/j3-reservoir-2026-10-12/baseline.json": "847fefd1eae971985d34d04d89ee6d6f1c91f6940c54fe351d112faba7bc6838",
|
||||
"research/j3-reservoir-2026-10-12/cpu.log": "b33f6c1a1b0ee67968c4cff85d491e46e30e0d6c796b552629714ab8b5dcead0",
|
||||
"research/j3-reservoir-2026-10-12/gpu-validation.log": "ff04024db197e332f37c912a96413e3251fd0186947348ffbc33af6f4a899f2c",
|
||||
"research/j3-reservoir-2026-10-12/results.json": "49685de7679a14860258abf1753aaa6d116ad709b868d907ddb40e74c9b845ea",
|
||||
"research/j3-reservoir-2026-10-12/incremental.diff": "fae312831d71e46dd477a640b06ed927853a9e735d26bf9f5868927fa31cfa56"
|
||||
},
|
||||
"prior_source_snapshot": "research/fixed_patch_jet_records_20261013/fixed_patch_jet.py"
|
||||
}
|
||||
@@ -1,17 +0,0 @@
|
||||
{
|
||||
"operation": "CPU-only geometry redraw, no CUDA context or solver",
|
||||
"input_summary": "/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output/summary.json",
|
||||
"elapsed_seconds": 1.8603430899675004,
|
||||
"peak_self_rss_bytes": 76394496,
|
||||
"ram_available_before_bytes": 64069128192,
|
||||
"ram_available_after_bytes": 64015175680,
|
||||
"sampled_related_evidence_and_temporary_bytes": 1219264,
|
||||
"temporary_budget_bytes": 2000000000,
|
||||
"private_plot_cache_cleaned": true,
|
||||
"disk_monitor": "sampled before/after redraw, not OS hard guarantee",
|
||||
"leaf_counts": [
|
||||
1824,
|
||||
1536
|
||||
],
|
||||
"CFD_runs_this_round": 0
|
||||
}
|
||||
@@ -1 +0,0 @@
|
||||
{"operation": "CPU-only geometry redraw, no CUDA context or solver", "input_summary": "/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output/summary.json", "elapsed_seconds": 1.8603430899675004, "peak_self_rss_bytes": 76394496, "ram_available_before_bytes": 64069128192, "ram_available_after_bytes": 64015175680, "sampled_related_evidence_and_temporary_bytes": 1219264, "temporary_budget_bytes": 2000000000, "private_plot_cache_cleaned": true, "disk_monitor": "sampled before/after redraw, not OS hard guarantee", "leaf_counts": [1824, 1536], "CFD_runs_this_round": 0}
|
||||
@@ -1,58 +0,0 @@
|
||||
--- a/examples/fixed_patch_jet.py
|
||||
+++ b/examples/fixed_patch_jet.py
|
||||
@@ -8,6 +8,10 @@
|
||||
Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
|
||||
H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
|
||||
An acoustic crossing (~78 steps) does not imply that transients have disappeared.
|
||||
+Mach is sampled over all leaves every 50 steps and is usually inlet dominated;
|
||||
+the discrete inlet peak is slightly below continuous A. This is not an accuracy test.
|
||||
+The 120s checks are cooperative, not an exact interruption deadline. main elapsed
|
||||
+includes construction, advancement and plotting; it is not pure CFD timing.
|
||||
"""
|
||||
import argparse
|
||||
from dataclasses import replace
|
||||
@@ -87,7 +91,7 @@
|
||||
ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
|
||||
'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
|
||||
'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
|
||||
- fig.savefig(out/'layout.png', dpi=150)
|
||||
+ fig.savefig(out/'layout.png', dpi=150, bbox_inches='tight', pad_inches=.15)
|
||||
plt.close(fig)
|
||||
vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
|
||||
for fields in snapshots for f in fields))
|
||||
@@ -130,7 +134,8 @@
|
||||
report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
|
||||
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
|
||||
guards=dict(check_every=50, positive_density=True, finite=True,
|
||||
- max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
|
||||
+ max_Mach=MAX_MACH, max_seconds=MAX_SECONDS,
|
||||
+ timing='cooperative checks, not an exact interruption deadline'),
|
||||
scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
|
||||
W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
|
||||
W_squared_over_nu=WIDTH**2/cfg.viscosity,
|
||||
@@ -168,6 +173,8 @@
|
||||
if step:
|
||||
run.step(50)
|
||||
report['last_synchronized_coarse_step'] = run.step_count
|
||||
+ if time.monotonic()-start > MAX_SECONDS:
|
||||
+ raise TimeoutError('120 second demonstration limit reached after chunk')
|
||||
fields, sample = measure(run.download(), masks, centers, mass0)
|
||||
sample.update(t=step, coarse_steps=step, fine_steps=2*step)
|
||||
report['samples'].append(sample)
|
||||
@@ -177,6 +184,8 @@
|
||||
with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
|
||||
os.environ['MPLCONFIGDIR'] = cache
|
||||
draw(out, snapshots, masks, centers)
|
||||
+ if time.monotonic()-start > MAX_SECONDS:
|
||||
+ raise TimeoutError('120 second demonstration limit reached after plotting')
|
||||
report['status'] = 'complete'
|
||||
except BaseException as exc:
|
||||
report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
|
||||
@@ -184,6 +193,7 @@
|
||||
raise
|
||||
finally:
|
||||
report['elapsed_seconds'] = time.monotonic()-start
|
||||
+ report['elapsed_scope'] = 'main construction, advancement and plotting; not pure CFD time'
|
||||
(out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
|
||||
print(f'{report["status"]}: last synchronized coarse step '
|
||||
f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 51 KiB |
@@ -1,55 +0,0 @@
|
||||
{
|
||||
"CFD_runs_this_round": 0,
|
||||
"CFD_runs_total": 2,
|
||||
"cpu_redraw_exit_code": 0,
|
||||
"baseline_files_checked": 554,
|
||||
"unchanged_baseline_files": 553,
|
||||
"changed_files": [
|
||||
"examples/fixed_patch_jet.py"
|
||||
],
|
||||
"static_checks": [
|
||||
"AST/compile",
|
||||
"measure AST unchanged",
|
||||
"BOUNDS/TIMES/constants unchanged",
|
||||
"cfg AST unchanged"
|
||||
],
|
||||
"current_entry_CFD_run": false,
|
||||
"diff": {
|
||||
"added": 12,
|
||||
"removed": 2
|
||||
},
|
||||
"files": {
|
||||
"examples/fixed_patch_jet.py": {
|
||||
"bytes": 11491,
|
||||
"sha256": "9d58ac3f32478603e8e798efcdaf6ea16e9cc92346eb4780a60e438d331abced"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/fixed_patch_jet.py": {
|
||||
"bytes": 10650,
|
||||
"sha256": "7d6370fe6d8b723b1b3e1492e89fcc72562383c0dc030c25a254ac3fc899845a"
|
||||
},
|
||||
"research/fixed_patch_jet_closure_20261013/incremental.patch": {
|
||||
"bytes": 3490,
|
||||
"sha256": "18b30ecc0703bcb4cb6577255d12a5b0d95dfea99d02d761bbc1b5b231bba1d3"
|
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},
|
||||
"research/fixed_patch_jet_closure_20261013/baseline.json": {
|
||||
"bytes": 72692,
|
||||
"sha256": "ccf88409836657aebbf091f06c41141c81d20169c2cac0fd8e2a16b40df36882"
|
||||
},
|
||||
"research/fixed_patch_jet_closure_20261013/notes.txt": {
|
||||
"bytes": 3023,
|
||||
"sha256": "bc3c939659ef0cbda506024d79b896707f4dc4af94bb088924e139f81a9e885f"
|
||||
},
|
||||
"research/fixed_patch_jet_closure_20261013/cpu_stdout.txt": {
|
||||
"bytes": 590,
|
||||
"sha256": "4e1f371a568eb1c2a7912cb5ea564c8c23f0106dbc41a68f179bbcafdff2cdff"
|
||||
},
|
||||
"research/fixed_patch_jet_closure_20261013/layout_uncropped.png": {
|
||||
"bytes": 51785,
|
||||
"sha256": "0ef6709c02ed5beba5707e033d9f6f9795a9bbfe3d7fc23341fa7dab6e85288c"
|
||||
},
|
||||
"research/fixed_patch_jet_closure_20261013/cpu_results.json": {
|
||||
"bytes": 628,
|
||||
"sha256": "6bae91721db9051f18bbf89dacca40b80410f84f037e7732cb1af4eadc24aaf8"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,15 +0,0 @@
|
||||
本轮无 CFD 运行，案例累计仍为2次。第一次与第二次实际运行源码已分别逐字保存于 research/fixed_patch_jet_20261013/fixed_patch_jet.py 和 research/fixed_patch_jet_records_20261013/fixed_patch_jet.py；原PNG/stdout/summary/results/manifest全部不变。当前examples入口只增加说明、布局边距和协作式计时检查，未重新运行CFD；既有数据来自第二次源码快照。
|
||||
|
||||
25组记录每50粗步采样，node mass约在2199.806433至2216.155705间振荡，Q_out也有约300步的变化周期。H=NY-3=45、c_s=1/sqrt(3)，闭开声学估计4H/c_s=311.769步，与观测尺度相符。这是基于边界条件与现有记录的合理解释，不是已证明的因果或唯一模态。末态相对初值-5.698886576是两个时刻的节点质量状态差，不能单凭它推断长期或单调累积损失。50步macro sum(rho*vy)采样不证明population预算闭合；节点面积1与1/4的账本不是精确物理体积分。
|
||||
|
||||
采样最大Mach0.034161593来自每50步全leaf测量，由施加的入口离散峰值主导；连续峰值A=.02，而最近slot节点的解析速度约.019723187，略低于A。它不是逐步全程峰值，也不是精度验证。时间尺度使用连续峰值A（非入口平均速度）：W/A600、H/A2250、W²/nu1440、H²/nu20250；声学穿越约77.94步不意味着瞬态消失。0/300/1200中的两个发展快照不代表充分发展，流动可能越过patch两侧，喷口仍由coarse解析。
|
||||
|
||||
第二次脚本main elapsed=6.24919704697秒，包含构造、推进、绘图，不是纯CFD耗时；外部进程elapsed=6.70286765601秒。120秒限制是协作式检查：现有chunk前检查之外，当前入口补上chunk结束后和绘图结束、status=complete之前的检查。它不能在进行中的操作内精确中断；外部watchdog亦为采样监控，两者都不是120秒整点停止的OS硬保证。
|
||||
|
||||
新layout_uncropped.png只读取第二次summary实际nx/ny/bounds/W与公共CPU FixedPatch2D几何生成原生leaf网格；coarse1824、fine1536，Y裁剪[1.5,46.5]，无CUDA上下文或求解器。绘图耗时1.860343秒，进程峰值RSS76394496字节，采样临时及相关证据1219264字节（<2GB），私有绘图缓存与临时脚本已清理。原velocity图保留，没有从PNG/probe重建速度场。
|
||||
|
||||
静态核验：AST与compile通过，measure函数AST、BOUNDS/TIMES及其关联常量、cfg构造AST与第二次源码一致；本轮基线除examples/fixed_patch_jet.py外均未变。没有环境/依赖/系统/DynamisLab修改，没有提交或推送。
|
||||
|
||||
以后获授权复现当前入口时使用新的输出目录（本轮未执行此命令）：
|
||||
PYTHONPATH=/home/frank14f/CelerisLab/src CUDA_VISIBLE_DEVICES=0 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python /home/frank14f/CelerisLab/examples/fixed_patch_jet.py --output /tmp/celeris-fixed-patch-jet-new
|
||||
运行前仍须预检实际物理GPU占用/UUID/显存/RAM，并使用外部采样watchdog；命令本身不提供外部watchdog。
|
||||
@@ -1,548 +0,0 @@
|
||||
{
|
||||
"hashes": {
|
||||
"src/CelerisLab.egg-info/PKG-INFO": "0b9a8a4e8d60bc531473688723ddef0aab02c7ccc4997e31c9b6a6c35011ca77",
|
||||
"src/CelerisLab.egg-info/top_level.txt": "cd51958ca03afabbaa9618c60b8280e486f8cc0b0359b839e10f886e7c3948f8",
|
||||
"src/CelerisLab.egg-info/dependency_links.txt": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
|
||||
"src/CelerisLab.egg-info/requires.txt": "36e1404178e5ea590b2fc04e8ba4d748ec9a82e7693136ccf0dfd204fe265c04",
|
||||
"src/CelerisLab.egg-info/SOURCES.txt": "f36b29c1b34c4bd6b2acc3ccdd21c24ee5077df7e2a20a652d9fae77eedb8e21",
|
||||
"src/CelerisLab/simulation.py": "34d69e71844f553790c5a2bed0f8fbfb912a9498e95b500d1ef2ad41cae3b424",
|
||||
"src/CelerisLab/config.py": "2f1bba7515f5bc08cb3a8d140bcafe7fa0689e01b3b06494697bb2956a71530e",
|
||||
"src/CelerisLab/__init__.py": "21cc469bd6e970a1f9ff5970c8eea4602065e41fc881854759ee565ee55c10c6",
|
||||
"src/CelerisLab/cuda/compiler_v2.py": "c4cc3ec4445c8d75e6a253dd87963877117a722bc73b9d4811806fc6045d08c1",
|
||||
"src/CelerisLab/cuda/obs_layout.py": "5ffb2c3aeeaaaaeb64f2cd8febfbcf4ad9919e5414020ad753cfade0683b21c2",
|
||||
"src/CelerisLab/cuda/context.py": "013dd4ec6d01d2fbd11afdfb103eac6a273bd9f798d663d761b851eeb27885e9",
|
||||
"src/CelerisLab/cuda/__init__.py": "0d01dff9f0399c8baba822aab5ca0122a135f011008ed8a499ebd9f7e5b06aea",
|
||||
"src/CelerisLab/lbm/refinement_stepper.py": "ad57a6a3887b007488b4954b24ff06cd8cde2b12674bdafb97bfda1961ae1da4",
|
||||
"src/CelerisLab/lbm/field.py": "0e727eacc3706add4d8d15c418e9b631050871f831698d3ac689dd5f2c701b9b",
|
||||
"src/CelerisLab/lbm/equilibrium.py": "2fb2f2bb7ff326d23abce80fc2a4c0907b17740ea3e29fe6ae079c5044783826",
|
||||
"src/CelerisLab/lbm/descriptors.py": "c9f025dfc14da43b989047b84cc22bd05d5cc92c9ec695c1da68fdfb788e3f2b",
|
||||
"src/CelerisLab/lbm/initializers.py": "dacf9586963e862d6d0a98ef1a066036be6f91e9d423720661d8ef2c1fb2df6a",
|
||||
"src/CelerisLab/lbm/curved_links.py": "587f3f4638688c09c0850bef2f314780d03f06c9211abc5fd773fbeecabc3326",
|
||||
"src/CelerisLab/lbm/stepper.py": "e9e51e3a902fbda086d4707c0487e7b1dea6246fab290a24d82bd52d4296410e",
|
||||
"src/CelerisLab/lbm/__init__.py": "7f60fb3aaae81501b510d08c2fedff44fcb05657260eb10b6f5cc91e7204306b",
|
||||
"src/CelerisLab/lbm/refinement.py": "554735c5613129eb29f339c6aeeb4f3a3bbc5aba67558be51fbf7c2fb6ac442a",
|
||||
"src/CelerisLab/lbm/kernels/kernel_v2.cu": "c7bd3fb705b77261ba2441c52a24a7e6a7865c165cba088a1b75201c4d29c408",
|
||||
"src/CelerisLab/lbm/kernels/refinement.cu": "025c59dc9c207a831e78e1635cb3f14fe60b64c021004a0d66e5d01fda8554b5",
|
||||
"src/CelerisLab/lbm/kernels/config.h": "7d1124125e0b354558297934460e64c760fb68cdd7bf6d01a1238bb2eaab8c37",
|
||||
"src/CelerisLab/lbm/kernels/kernel_v2.ptx": "a599ee30ae66800f4d4220eb79dfed35ff32991661260f01ea58023ef780f0ca",
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|
||||
},
|
||||
"prior_source_snapshot": "research/fixed_patch_jet_20261013/fixed_patch_jet.py"
|
||||
}
|
||||
@@ -1,8 +0,0 @@
|
||||
{
|
||||
"utc": "2026-10-13T11:51:01.475368+00:00",
|
||||
"physical_device": 0,
|
||||
"uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
|
||||
"gpus": "index, uuid, name, memory.used [MiB], memory.free [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n",
|
||||
"compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
|
||||
"ram_available_bytes": 64059838464
|
||||
}
|
||||
@@ -1,193 +0,0 @@
|
||||
"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
|
||||
|
||||
From this checkout, after checking the selected physical GPU is idle:
|
||||
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
|
||||
|
||||
The fixed-amplitude start includes acoustic transients, not a developed jet.
|
||||
Only native leaf cells are plotted. No interpolation, restart or flow oracle.
|
||||
Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
|
||||
H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
|
||||
An acoustic crossing (~78 steps) does not imply that transients have disappeared.
|
||||
"""
|
||||
import argparse
|
||||
from dataclasses import replace
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
import tempfile
|
||||
import time
|
||||
|
||||
import numpy as np
|
||||
|
||||
import CelerisLab
|
||||
from CelerisLab.config import load_lbm_config
|
||||
from CelerisLab.cuda.context import CudaContext
|
||||
from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
|
||||
from CelerisLab.lbm.refinement import ACTIVE
|
||||
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
|
||||
|
||||
BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
|
||||
TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
|
||||
|
||||
|
||||
def measure(arrays, masks, centers, initial_mass):
|
||||
fields = []
|
||||
for array, mask in zip(arrays, masks):
|
||||
if not np.isfinite(array[:, mask]).all():
|
||||
raise RuntimeError("Nonfinite leaf populations")
|
||||
field = np.full((*mask.shape, 3), np.nan)
|
||||
field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
|
||||
fields.append(field)
|
||||
leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
|
||||
speed = np.hypot(leaves[:, 1], leaves[:, 2])
|
||||
mass = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
for area, a, m in zip((1, .25), arrays, masks))
|
||||
record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
|
||||
rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
|
||||
sampled_max_Mach=float(speed.max()*np.sqrt(3)),
|
||||
density_deviation=float(np.abs(leaves[:, 0]-1).max()),
|
||||
discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
|
||||
if not record['finite'] or record['rho_min'] <= 0 or record['sampled_max_Mach'] > MAX_MACH:
|
||||
raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
|
||||
walls = fields[0][[1, -2]]
|
||||
record['macro_sum_rho_v'] = dict(zip(('Q_in', 'Q_out'),
|
||||
(walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()))
|
||||
record['centerline'] = []
|
||||
for level, y in ((1, 16.25), (0, 32.5)):
|
||||
xs, ys = centers[level]
|
||||
columns = np.argsort(np.abs(xs-24))[:2]
|
||||
row = int(np.flatnonzero(ys == y)[0])
|
||||
values = fields[level][row, columns].mean(axis=0)
|
||||
record['centerline'].append(dict(level=level, x=24, y=y,
|
||||
sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
|
||||
rho_ux_uy=values.tolist()))
|
||||
return fields, record
|
||||
|
||||
|
||||
def draw(out, snapshots, masks, centers):
|
||||
import matplotlib
|
||||
matplotlib.use('Agg')
|
||||
import matplotlib.pyplot as plt
|
||||
from matplotlib.collections import PolyCollection
|
||||
|
||||
def decorate(ax):
|
||||
ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
|
||||
ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
|
||||
ax.axhline(1.5, color='black', lw=1)
|
||||
ax.axhline(46.5, color='black', lw=1, ls='--')
|
||||
ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
|
||||
|
||||
fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
|
||||
for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
|
||||
yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
cells = np.stack((xx[mask], yy[mask]), axis=-1)
|
||||
vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
|
||||
ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
|
||||
decorate(ax)
|
||||
ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
|
||||
'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
|
||||
'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
|
||||
fig.savefig(out/'layout.png', dpi=150)
|
||||
plt.close(fig)
|
||||
vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
|
||||
for fields in snapshots for f in fields))
|
||||
fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
|
||||
for ax, step, fields in zip(axes, TIMES, snapshots):
|
||||
for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
|
||||
speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
|
||||
image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
|
||||
np.r_[ys-dx/2, ys[-1]+dx/2], speed,
|
||||
shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
|
||||
stride = int(4/dx)
|
||||
yy, xx = np.meshgrid(ys, xs, indexing='ij')
|
||||
selection = np.zeros_like(mask)
|
||||
selection[::stride, ::stride] = mask[::stride, ::stride]
|
||||
ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
|
||||
angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
|
||||
decorate(ax)
|
||||
ax.set_title(f'coarse t={step}, fine steps={2*step}')
|
||||
fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
|
||||
fig.suptitle('Low-Re startup flow in an x-periodic confined domain\n'
|
||||
'Fixed-amplitude start includes acoustic transients; not steady/developed\n'
|
||||
'Nozzle remains coarse; flow may cross patch sides (not fully enclosed)', fontsize=11)
|
||||
fig.savefig(out/'velocity.png', dpi=150)
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description=__doc__)
|
||||
parser.add_argument('--output', type=Path, required=True)
|
||||
out = parser.parse_args().output.resolve()
|
||||
root = Path(__file__).resolve().parents[1]
|
||||
if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
|
||||
raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
|
||||
out.mkdir(parents=True, exist_ok=False)
|
||||
cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
|
||||
nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
|
||||
wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
|
||||
lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
|
||||
store_precision='FP32', ddf_shifting=False, les_enabled=False)
|
||||
report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
|
||||
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
|
||||
guards=dict(check_every=50, positive_density=True, finite=True,
|
||||
max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
|
||||
scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
|
||||
W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
|
||||
W_squared_over_nu=WIDTH**2/cfg.viscosity,
|
||||
H_squared_over_nu=(cfg.ny-3)**2/cfg.viscosity,
|
||||
acoustic_crossing=(cfg.ny-3)*np.sqrt(3)),
|
||||
notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
|
||||
'Q_in/Q_out are bottom/top macro sum(rho*vy), not a closed population budget. '
|
||||
'Mach maxima are sampled every 50 steps, not every-step peaks. '
|
||||
'One acoustic crossing does not imply transient decay; no steady-state claim.',
|
||||
samples=[], status='running', last_synchronized_coarse_step=0)
|
||||
start, run = time.monotonic(), None
|
||||
try:
|
||||
with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
|
||||
coarse_boundary='slot_reservoir') as run:
|
||||
p = run.patch
|
||||
masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
|
||||
masks[0][[0, -1]] = False
|
||||
masks[0][4:28, 16:32] = False
|
||||
centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
|
||||
origin[1]+dx*(np.arange(shape[0])+.5))
|
||||
for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
|
||||
(p.fine_shape, p.fine_origin, .5))]
|
||||
initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
|
||||
for m in masks]
|
||||
for x in range(cfg.nx):
|
||||
v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
|
||||
initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
|
||||
run.initialize(*initial)
|
||||
mass0 = sum(area*a[:, m].sum(dtype=np.float64)
|
||||
for area, a, m in zip((1, .25), initial, masks))
|
||||
snapshots = []
|
||||
for step in range(0, TIMES[-1]+1, 50):
|
||||
if time.monotonic()-start > MAX_SECONDS:
|
||||
raise TimeoutError('120 second demonstration limit reached')
|
||||
if step:
|
||||
run.step(50)
|
||||
report['last_synchronized_coarse_step'] = run.step_count
|
||||
fields, sample = measure(run.download(), masks, centers, mass0)
|
||||
sample.update(t=step, coarse_steps=step, fine_steps=2*step)
|
||||
report['samples'].append(sample)
|
||||
print(json.dumps(sample), flush=True)
|
||||
if step in TIMES:
|
||||
snapshots.append(fields)
|
||||
with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
|
||||
os.environ['MPLCONFIGDIR'] = cache
|
||||
draw(out, snapshots, masks, centers)
|
||||
report['status'] = 'complete'
|
||||
except BaseException as exc:
|
||||
report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
|
||||
last_synchronized_coarse_step=run.step_count if run is not None else 0)
|
||||
raise
|
||||
finally:
|
||||
report['elapsed_seconds'] = time.monotonic()-start
|
||||
(out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
|
||||
print(f'{report["status"]}: last synchronized coarse step '
|
||||
f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -1,87 +0,0 @@
|
||||
--- a/examples/fixed_patch_jet.py
|
||||
+++ b/examples/fixed_patch_jet.py
|
||||
@@ -5,6 +5,9 @@
|
||||
|
||||
The fixed-amplitude start includes acoustic transients, not a developed jet.
|
||||
Only native leaf cells are plotted. No interpolation, restart or flow oracle.
|
||||
+Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
|
||||
+H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
|
||||
+An acoustic crossing (~78 steps) does not imply that transients have disappeared.
|
||||
"""
|
||||
import argparse
|
||||
from dataclasses import replace
|
||||
@@ -41,15 +44,16 @@
|
||||
for area, a, m in zip((1, .25), arrays, masks))
|
||||
record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
|
||||
rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
|
||||
- measured_Ma=float(speed.max()*np.sqrt(3)),
|
||||
+ sampled_max_Mach=float(speed.max()*np.sqrt(3)),
|
||||
density_deviation=float(np.abs(leaves[:, 0]-1).max()),
|
||||
discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
|
||||
- if not record['finite'] or record['rho_min'] <= 0 or record['measured_Ma'] > MAX_MACH:
|
||||
+ if not record['finite'] or record['rho_min'] <= 0 or record['sampled_max_Mach'] > MAX_MACH:
|
||||
raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
|
||||
walls = fields[0][[1, -2]]
|
||||
- record['macro_sum_rho_v_bottom_top'] = (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()
|
||||
+ record['macro_sum_rho_v'] = dict(zip(('Q_in', 'Q_out'),
|
||||
+ (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()))
|
||||
record['centerline'] = []
|
||||
- for level, y in ((0, 3.5), (1, 8.25), (1, 16.25), (0, 32.5)):
|
||||
+ for level, y in ((1, 16.25), (0, 32.5)):
|
||||
xs, ys = centers[level]
|
||||
columns = np.argsort(np.abs(xs-24))[:2]
|
||||
row = int(np.flatnonzero(ys == y)[0])
|
||||
@@ -80,7 +84,9 @@
|
||||
vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
|
||||
ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
|
||||
decorate(ax)
|
||||
- ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\nRed: internal patch; orange: coarse slot; dashed: reservoir')
|
||||
+ ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
|
||||
+ 'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
|
||||
+ 'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
|
||||
fig.savefig(out/'layout.png', dpi=150)
|
||||
plt.close(fig)
|
||||
vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
|
||||
@@ -101,7 +107,9 @@
|
||||
decorate(ax)
|
||||
ax.set_title(f'coarse t={step}, fine steps={2*step}')
|
||||
fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
|
||||
- fig.suptitle('Low-Re startup flow in an x-periodic confined domain\nFixed-amplitude start includes acoustic transients; not steady/developed')
|
||||
+ fig.suptitle('Low-Re startup flow in an x-periodic confined domain\n'
|
||||
+ 'Fixed-amplitude start includes acoustic transients; not steady/developed\n'
|
||||
+ 'Nozzle remains coarse; flow may cross patch sides (not fully enclosed)', fontsize=11)
|
||||
fig.savefig(out/'velocity.png', dpi=150)
|
||||
plt.close(fig)
|
||||
|
||||
@@ -123,8 +131,15 @@
|
||||
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
|
||||
guards=dict(check_every=50, positive_density=True, finite=True,
|
||||
max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
|
||||
+ scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
|
||||
+ W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
|
||||
+ W_squared_over_nu=WIDTH**2/cfg.viscosity,
|
||||
+ H_squared_over_nu=(cfg.ny-3)**2/cfg.viscosity,
|
||||
+ acoustic_crossing=(cfg.ny-3)*np.sqrt(3)),
|
||||
notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
|
||||
- 'Boundary rho*v is a macro measurement, not a closed population budget.',
|
||||
+ 'Q_in/Q_out are bottom/top macro sum(rho*vy), not a closed population budget. '
|
||||
+ 'Mach maxima are sampled every 50 steps, not every-step peaks. '
|
||||
+ 'One acoustic crossing does not imply transient decay; no steady-state claim.',
|
||||
samples=[], status='running', last_synchronized_coarse_step=0)
|
||||
start, run = time.monotonic(), None
|
||||
try:
|
||||
@@ -154,11 +169,10 @@
|
||||
run.step(50)
|
||||
report['last_synchronized_coarse_step'] = run.step_count
|
||||
fields, sample = measure(run.download(), masks, centers, mass0)
|
||||
- print(f'step={step} rho=[{sample["rho_min"]:.7g},{sample["rho_max"]:.7g}] '
|
||||
- f'Ma={sample["measured_Ma"]:.7g}', flush=True)
|
||||
+ sample.update(t=step, coarse_steps=step, fine_steps=2*step)
|
||||
+ report['samples'].append(sample)
|
||||
+ print(json.dumps(sample), flush=True)
|
||||
if step in TIMES:
|
||||
- sample.update(coarse_steps=step, fine_steps=2*step)
|
||||
- report['samples'].append(sample)
|
||||
snapshots.append(fields)
|
||||
with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
|
||||
os.environ['MPLCONFIGDIR'] = cache
|
||||
@@ -1,58 +0,0 @@
|
||||
{
|
||||
"case_runs_total": 2,
|
||||
"this_round_runs": 1,
|
||||
"exit_code": 0,
|
||||
"records": 25,
|
||||
"baseline_files_checked": 543,
|
||||
"unchanged_baseline_files": 542,
|
||||
"changed_files": [
|
||||
"examples/fixed_patch_jet.py"
|
||||
],
|
||||
"diff": {
|
||||
"added": 25,
|
||||
"removed": 11
|
||||
},
|
||||
"output_bytes": 199615,
|
||||
"files": {
|
||||
"examples/fixed_patch_jet.py": {
|
||||
"bytes": 10650,
|
||||
"sha256": "7d6370fe6d8b723b1b3e1492e89fcc72562383c0dc030c25a254ac3fc899845a"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/incremental.patch": {
|
||||
"bytes": 5539,
|
||||
"sha256": "63485fb4eee8e2e89b683961aee32a6ca00ef5e607a362efb3290f3a08809222"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/baseline.json": {
|
||||
"bytes": 71228,
|
||||
"sha256": "d73ddb2a6629f03655aa05fae08bb4bbc9474c686af56dbe29c99d6491b7508e"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/before.json": {
|
||||
"bytes": 690,
|
||||
"sha256": "68ec7ef820d5f826b6e24c6afdef71c76bd22400393815321ac3a1905c437796"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/notes.txt": {
|
||||
"bytes": 2449,
|
||||
"sha256": "6d55a6395833fa02883357752ab3d8ea43df516fbcb40e4006fb1756757b1e99"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/stdout.txt": {
|
||||
"bytes": 20750,
|
||||
"sha256": "6e579eff0c1762ba31d8b1cee709e0cdba2e3f408432b71fe374b2d9f450665c"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/results.json": {
|
||||
"bytes": 1136,
|
||||
"sha256": "7997ee1626ad0640a9d362499c8e0eeefe9d71913fef5f2280112d5bdc9b50d4"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/output/summary.json": {
|
||||
"bytes": 32817,
|
||||
"sha256": "a448c2e66a56ee48071315d6f73d0ec1afccc29d680ab3a40d51d1df62dd973a"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/output/velocity.png": {
|
||||
"bytes": 116196,
|
||||
"sha256": "7c67c5f64a4bec94547c0ac7833e6d47eeaae9696904c1465a9d5d969008b79d"
|
||||
},
|
||||
"research/fixed_patch_jet_records_20261013/output/layout.png": {
|
||||
"bytes": 50602,
|
||||
"sha256": "678ba19a51c112960ace2a4b8d9d94e43287d97c3a6ef892684630ab37b70255"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,7 +0,0 @@
|
||||
Second same-parameter case run, explicitly authorized to repair recording/captions. Total case executions now2; no third run. Same48x48, bounds(16,4,32,28), W12/A.02/nu.1/rho1, initial state, guard values and1200 coarse/2400 fine steps. Only example record/description/caption changes; all other baseline files unchanged.
|
||||
Original run source saved byte-for-byte at research/fixed_patch_jet_20261013/fixed_patch_jet.py, SHA256 f27cd067fd7b9a7c6d7fab19fa471fe0617ee67889ae3931048557cc5659181b. Original PNG/stdout/summary/results/manifest retained unmodified. Historical source/doc wording is retained as evidence, not silently rewritten.
|
||||
New stdout.txt is unmodified directly redirected merged stdout/stderr; 25 complete JSON samples exactly match output/summary.json.samples at0,50,...1200. Records include t, macro Q_in/out=sum(rho*vy), node-weighted leaf mass/change, density deviation, sampled maximum Mach and two centerline probes at16.25(fine)/32.5(coarse) with explicit native-column arithmetic mean. Only three macro-field snapshots retained for plots. Native-cell plots inspected, on-site clipping preserved; new captions note flow may cross patch sides and nozzle remains coarse.
|
||||
Measured exit0, elapsed6.702868s, sampled maximum Mach0.0341615929682, sampled rho range[0.992553949356,1.010591745377]. Discrete leaf mass2208.00001640618 ->2202.30112983007, delta -5.69888657611. Final macro Q_in0.127690201625, Q_out0.0306652393192. Three shared snapshot scalar diagnostics and fluxes are identical to first run. Do not infer steady state or population-budget closure from these observations. Sampling every50 steps is not a bound on every-step maxima.
|
||||
Scale estimates use continuous peak A=.02, not mean inlet velocity; on-site H=NY-3=45. W/A600, H/A2250, W^2/nu1440, H^2/nu20250; acoustic crossing~77.94 is not a transient-decay time.
|
||||
Live precheck UUID/occupancy/VRAM/compute-apps/RAM in before.json. Real production compilation, private scratch/plot cache, no256MiB cap. Peak sampled group RSS281206784 bytes; minimum RAM63706316800 bytes, minimum GPU free15826MiB; combined task temporary/related evidence peak2192956 bytes (<2GB). Own temporary runner, compilation scratch and plot cache removed. No environment/system/dependency/DynamisLab edits, commit or push.
|
||||
Read-only agent confirmed no numerical/guard change and no backend/kernel/helper modification. AST syntax passed before execution; no other tests or numerical cases run.
|
||||
@@ -1,34 +0,0 @@
|
||||
{
|
||||
"case_run_number": 2,
|
||||
"command": [
|
||||
"/usr/bin/prlimit",
|
||||
"--core=0",
|
||||
"--",
|
||||
"/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"-B",
|
||||
"/home/frank14f/CelerisLab/examples/fixed_patch_jet.py",
|
||||
"--output",
|
||||
"/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output"
|
||||
],
|
||||
"cwd": "/home/frank14f/CelerisLab",
|
||||
"environment": {
|
||||
"PYTHONPATH": "/home/frank14f/CelerisLab/src",
|
||||
"CUDA_VISIBLE_DEVICES": "0",
|
||||
"CUDA_CACHE_DISABLE": "1",
|
||||
"OPENBLAS_NUM_THREADS": "1",
|
||||
"PYTHONDONTWRITEBYTECODE": "1",
|
||||
"PYTHONNOUSERSITE": "1",
|
||||
"TMPDIR": "/tmp/celeris-jet-records-run-gnfs6m58"
|
||||
},
|
||||
"exit_code": 0,
|
||||
"elapsed_seconds": 6.70286765601486,
|
||||
"peak_sampled_group_rss_bytes": 281206784,
|
||||
"min_ram_available_bytes": 63706316800,
|
||||
"min_gpu_free_mib": 15826,
|
||||
"ram_reserve_bytes": 6405983846,
|
||||
"vram_reserve_mib": 1614,
|
||||
"peak_combined_temporary_and_related_evidence_bytes": 2192956,
|
||||
"temporary_budget_bytes": 2000000000,
|
||||
"termination_reason": null,
|
||||
"monitor": "Own process group RSS recorded, not capped; live RAM/VRAM and temp sampled, not OS hard limits"
|
||||
}
|
||||
@@ -1,26 +0,0 @@
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
{"finite": true, "rho_min": 0.9964147210121155, "rho_max": 1.0018093585968018, "speed_max": 0.019723162200346454, "sampled_max_Mach": 0.03416151901692203, "density_deviation": 0.0035852789878845215, "discrete_leaf_mass": 2206.7887076763436, "mass_change": -1.2113087298348546, "macro_sum_rho_v": {"Q_in": 0.12807970866560936, "Q_out": 0.2554724644869566}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9992902874946594, -1.4911744245216772e-08, 0.007389858762817912]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9998897016048431, -3.44636083569892e-08, 0.005732718796797301]}], "t": 1100, "coarse_steps": 1100, "fine_steps": 2200}
|
||||
{"finite": true, "rho_min": 0.9931712746620178, "rho_max": 1.000000238418579, "speed_max": 0.019723172283986106, "sampled_max_Mach": 0.03416153648229823, "density_deviation": 0.006828725337982178, "discrete_leaf_mass": 2201.227777376771, "mass_change": -6.772239029407501, "macro_sum_rho_v": {"Q_in": 0.12766188196837902, "Q_out": 0.1938594225794077}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9959544539451599, -9.351055873348861e-09, 0.005925549967763543]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9975717067718506, 3.6411556051212644e-08, 0.00414892074651798]}], "t": 1150, "coarse_steps": 1150, "fine_steps": 2300}
|
||||
{"finite": true, "rho_min": 0.9934006929397583, "rho_max": 1.000000238418579, "speed_max": 0.01972318067164439, "sampled_max_Mach": 0.03416155101014853, "density_deviation": 0.006599307060241699, "discrete_leaf_mass": 2202.30112983007, "mass_change": -5.6988865761086345, "macro_sum_rho_v": {"Q_in": 0.12769020162522793, "Q_out": 0.030665239319205284}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9964200258255005, -5.613009959780303e-09, 0.0051035086848514625]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9982107579708099, -9.338345695949091e-10, 0.001630484555699851]}], "t": 1200, "coarse_steps": 1200, "fine_steps": 2400}
|
||||
complete: last synchronized coarse step 1200; output=/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output
|
||||
@@ -1,55 +0,0 @@
|
||||
# J1 两平面吹吸：限定实施与验收
|
||||
|
||||
2026-10-12。以下门槛在本包第一次数值测试前写定。唯一写入者root；保留起点工作树，`baseline.json`及`baseline-status.txt`为证。仅独立CelerisLab，使用既有pycuda_3_10解释器和进程级PYTHONPATH；先查GPU0/1空闲，仅占用空闲获准设备。不提交或推送。
|
||||
|
||||
## 模型与时序
|
||||
|
||||
D2Q9/SRT/FP32/unshifted/double-buffer，无对象、体积力、LES。新on-site模式默认关闭，x周期，物理平面y=1与NY−2，H=NY−3；下壁(0,V)，上壁(U,V)。上下helper只补poststream未知方向，不碰撞或存储；融合核顺序为pull到t+dt、重建到达时刻速度、同节点碰撞、存postcollision g(t+dt)。初态为rho0、线性u、常量v=V的局部平衡，边界初态满足目标；后续不以解析指数场初始化来回避收敛。
|
||||
|
||||
参考：`research/design-2026-10-09/jet-study.md`中Zou–He/Ho scheme A原文核对与矩公式；本地`ref/OpenLB/src/boundary/zouHeDynamics.hh`的missing population重建；现有paired D2Q9方向表和pull时序为地址依据。连续解v=V，u=U*expm1(Vy/nu)/expm1(VH/nu)，V=0取线性极限。连续解不是精确离散LBM解；预期小Ma下有截断误差与FP32舍入，若不满足下列候选门槛须报告失败，不能静默放宽。
|
||||
|
||||
## 预先固定的有界验证
|
||||
|
||||
- 主案例NX=16、H=32、nu=.1、U=.02、rho0=1，V依次0、+.001、−.001、+.01、−.01；Re_U=6.4，最大Ma约.039。先不铺网格矩阵，也不声称证明二阶收敛。
|
||||
- 采样间隔ceil(.5*H²/(pi²*nu))=519步，最多40个间隔=20760步/案例。至少8个间隔后才允许判稳；连续4个间隔的u剖面RMS变化/U≤2e−5、v剖面RMS变化≤2e−7，且每间隔质量相对变化≤2e−6。最后4间隔质量相对跨度≤6e−6。不能把持续质量增长作为gauge freedom接受。
|
||||
- H32内部u连续解析剖面相对L2≤1e−3；v最大绝对误差≤2e−6；非零V内部三个独立截面的实测Σrho*v相对rho_bar*V*NX误差≤1e−3，V=0用绝对平均速度≤2e−6。不使用重建节点的赋值验证通量。
|
||||
- 全域质量统计仅含y=1..NY−2，不含ghost。末态相对初态质量偏移≤1e−3，另以上述增量/跨度独立约束漂移；记录全部采样质量和剖面残差，不能仅记录最终密度范围。
|
||||
- 实际population跨界收支：测试临时CUDA构建在真实SRT调用前记录边界重建后的未知incoming，以及collision前后质量差；结合旧postcollision outgoing，核对16个连续步的ΔM=入−出+collision舍入。纯周期x对消；全局每步预算残差/M≤2e−7，另报告未加collision舍入的物理残差，不将记录器加进生产kernel。
|
||||
- helper上下方向、V正/负/零及非平衡已知分布：未知方向外逐值不变，独立质量/动量矩误差≤3e−7（rho O(1)）；平衡保持同容差。
|
||||
- 关闭模式：与本包起点源码同参数、同初值的短默认通道结果逐值相同；同时运行受影响配置/恢复回归。不声明全部旧工况或性能已重新验证。
|
||||
|
||||
完整执行命令、原始日志、结果和本包增量将在本目录追加；任何门槛变化必须显式记录，当前未运行数值测试。
|
||||
|
||||
## 完成记录（以上为运行前冻结记录）
|
||||
|
||||
本包限定实现完成，门槛未改。生产代码新增75行、删除5行；配置说明新增15行；测试/验证新增364行。`incremental.diff`相对于本包起点的脏工作树生成，不是相对于HEAD。未提交、推送、安装依赖或修改DynamisLab。新增模式没有额外生产kernel启动；未进行性能基准，因此不声称已证明性能无回退。
|
||||
|
||||
CPU针对性回归77 passed、13 subtests passed（1.30秒）；checkpoint GPU回归10 passed、8 deselected（34.31秒）。五个J1案例全部通过，包括独立内部截面通量、末段质量变化与实际population预算。默认关闭模式的7步场和flags与本包起点逐值相同。只读architecture复核通过，没有发现限定范围内必须修复的项。
|
||||
|
||||
| V | 收敛步数 | u相对L2 | v最大绝对误差 | 相对初态质量偏移 | 末4间隔质量相对跨度 | 内部通量误差 |
|
||||
| --- | ---: | ---: | ---: | ---: | ---: | ---: |
|
||||
| 0 | 4152 | 1.66909e-5 | 8.00937e-8 | 2.98475e-7 | 1.33772e-8 | 4.84288e-8（绝对平均速度） |
|
||||
| +.001 | 7785 | 7.27898e-4 | 2.53653e-7 | 5.01238e-5 | 3.51193e-7 | 2.53631e-4（相对） |
|
||||
| −.001 | 7785 | 6.86307e-4 | 1.72778e-7 | 4.90631e-5 | 2.53997e-9 | 1.61564e-4（相对） |
|
||||
| +.01 | 9342 | 1.73175e-4 | 1.63549e-7 | 6.19301e-5 | 2.08842e-9 | 8.44460e-6（相对） |
|
||||
| −.01 | 8304 | 2.44096e-4 | 1.76794e-7 | 4.90692e-5 | 4.40262e-9 | 9.94338e-6（相对） |
|
||||
|
||||
每例末态再审计16步，审计版与普通版逐值一致。独立记录实际collision舍入后，预算残差均为0；这是用双精度累加已记录FP32 populations所得的离散收支一致性，不代表连续物理误差为0。不扣除collision舍入时，最大相对物理收支残差为7.733e-9。完整内部实测通量、质量历史、剖面及逐步预算见`results.json`。
|
||||
|
||||
本包只实现全平面固定速度边界，限定D2Q9/SRT/FP32/unshifted/double_buffer、无对象/体积力/LES。尚不是有限slot Jet；未扩展曲面、多层网格、AMR，也未证明网格收敛阶。
|
||||
|
||||
## 执行与原始证据
|
||||
|
||||
所有命令工作目录均为`/home/frank14f/CelerisLab`；解释器、Python导入和CUDA源码位置已校验，见`baseline.json`与`results.json`。每次GPU运行前检查物理GPU0/1空闲；实际仅用GPU0。执行命令如下：
|
||||
|
||||
```bash
|
||||
env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_planar_velocity.py tests/unit/test_build_contracts.py tests/unit/test_state_regressions.py tests/unit/test_simulation_lifecycle.py -q --tb=short -p no:cacheprovider > research/j1-2026-10-12/cpu.log 2>&1
|
||||
env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_j1.py --output research/j1-2026-10-12/results.json --baseline-kernels /tmp/celeris-j1-before/src/CelerisLab/lbm/kernels > research/j1-2026-10-12/gpu-validation.log 2>&1
|
||||
env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/integration/test_state_gpu.py -k checkpoint -q --tb=short -p no:cacheprovider > research/j1-2026-10-12/checkpoint-gpu.log 2>&1
|
||||
```
|
||||
|
||||
第一次J1执行在V=0数值计算后因NumPy bool不能序列化JSON而退出，原始记录保留为`gpu.log`。只将输出的steady转为Python bool后，按同一门槛完整重跑；成功记录为`gpu-validation.log`。完成数值验证后将`--baseline-kernels`改为可选，便于日后只重跑五例；省略时旧模式比较明确记录为null，不视为已通过该比较。此CLI变动通过`--help`检查，数值路径未改动。
|
||||
|
||||
## 保存与清理
|
||||
|
||||
所有起点manifest文件仍存在，只有diff列出的9个已有文件发生本包修改，另新增4个实现/测试文件。四份config头文件及`tests/postproc/experiment.ipynb`均与起点SHA256一致。`git diff --check`通过，增量补丁反向适用检查通过。保留本目录原始成功/失败日志；临时审计构建自动清除。起点副本可由当前源码和增量补丁反向重建，临时重复备份在完成核验后清除。停在此步，等待主线程复核。
|
||||
@@ -1,62 +0,0 @@
|
||||
M pyproject.toml
|
||||
M setup.py
|
||||
M src/CelerisLab/__init__.py
|
||||
M src/CelerisLab/body/__init__.py
|
||||
M src/CelerisLab/body/ddf_patch.py
|
||||
M src/CelerisLab/body/manager.py
|
||||
M src/CelerisLab/body/preprocess/flag_overlay.py
|
||||
M src/CelerisLab/common/__init__.py
|
||||
M src/CelerisLab/common/checkpoint.py
|
||||
M src/CelerisLab/config.py
|
||||
M src/CelerisLab/configs/CONFIG.md
|
||||
M src/CelerisLab/cuda/__init__.py
|
||||
M src/CelerisLab/cuda/compiler_v2.py
|
||||
M src/CelerisLab/cuda/context.py
|
||||
M src/CelerisLab/lbm/__init__.py
|
||||
M src/CelerisLab/lbm/curved_links.py
|
||||
M src/CelerisLab/lbm/field.py
|
||||
M src/CelerisLab/lbm/initializers.py
|
||||
M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh
|
||||
M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
|
||||
M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh
|
||||
M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh
|
||||
M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh
|
||||
M src/CelerisLab/lbm/kernels/config/config_grid.h
|
||||
M src/CelerisLab/lbm/kernels/config/config_method.h
|
||||
M src/CelerisLab/lbm/kernels/config/config_objects.h
|
||||
M src/CelerisLab/lbm/kernels/config/config_physics.h
|
||||
M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh
|
||||
M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh
|
||||
M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh
|
||||
M src/CelerisLab/lbm/kernels/step/aux_kernels.cu
|
||||
M src/CelerisLab/lbm/kernels/step/esopull_sync.cu
|
||||
M src/CelerisLab/lbm/kernels/step/init_flow.cu
|
||||
M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu
|
||||
M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh
|
||||
M src/CelerisLab/lbm/stepper.py
|
||||
M src/CelerisLab/simulation.py
|
||||
M tests/integration/test_body_sync_e2e.py
|
||||
M tests/integration/test_ddf_patch.py
|
||||
M tests/integration/test_sync_bodies_skeleton.py
|
||||
M tests/integration/test_unified_obs.py
|
||||
M tests/postproc/experiment.ipynb
|
||||
M tests/validation/run_kan99b_rotating_cylinder.py
|
||||
M tests/validation/run_sah04_st_matrix.py
|
||||
M tests/validation/test_sensor_accuracy.py
|
||||
?? docs/design/
|
||||
?? docs/multilevel_grid_architecture_analysis.md
|
||||
?? research/
|
||||
?? "tests/audit/body\345\210\240\345\207\217\345\212\237\350\203\275.md"
|
||||
?? tests/integration/_cases.py
|
||||
?? tests/integration/test_numerical_gpu.py
|
||||
?? tests/integration/test_runtime_contracts_gpu.py
|
||||
?? tests/integration/test_state_gpu.py
|
||||
?? tests/unit/cpp/
|
||||
?? tests/unit/test_build_contracts.py
|
||||
?? tests/unit/test_context_ownership.py
|
||||
?? tests/unit/test_initializers.py
|
||||
?? tests/unit/test_numerical_operators.py
|
||||
?? tests/unit/test_simulation_lifecycle.py
|
||||
?? tests/unit/test_state_regressions.py
|
||||
?? tests/validation/multigrid/
|
||||
?? tests/validation/run_poiseuille.py
|
||||
@@ -1,202 +0,0 @@
|
||||
{
|
||||
"head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
|
||||
"python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
|
||||
"package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
|
||||
"cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
|
||||
"hashes": {
|
||||
"docs/design/README.md": "98242c6960866d9b75aaf363f703edf02c4210bc38da1a340e9f6add49c6a3ce",
|
||||
"docs/design/integrated_architecture.md": "c26b0d301321fe4b86d83d11c7e0b8d0c0545ee2995afa563966f004e9788132",
|
||||
"docs/design/multi_level_grid_architecture.md": "e56a67d9129f2e3c311342e21a3fb2ed14bd492dd881949b251d5d9ac577bdee",
|
||||
"docs/design/multi_level_summary.md": "eebf23e0bec9b154e5ce2128e2806e7558a7d4824b2c700cfd16afd1158b2354",
|
||||
"docs/design/multi_level_visual_reference.md": "cad4bfbd561e5650ec297334529334b662a1ed35f7373c61f34ee22ecf1f66bd",
|
||||
"docs/design/spatial_coupling_refinement.md": "36c878c7afad524999d89fa842297a98a0433e0283e78b36ca734ddbf8723ed8",
|
||||
"docs/multilevel_grid_architecture_analysis.md": "90309730b1759d63531cb258c30db990ab71ca1b56ae47d0bbe2f4e2ae52012c",
|
||||
"research/audit-2026-10-09/REVIEW.zh-CN.md": "2841fd3aa7a6baedbe1079d90915c8b05212b133824ed6abccaa1f09656eaefe",
|
||||
"research/audit-2026-10-09/architecture-cpu-results.json": "e1b809210005c8765b13fddbb5ed710d15f6fcbb4c5788a4064f3e88808433ef",
|
||||
"research/audit-2026-10-09/architecture-report.md": "861079dc3f4ced9fdc41bfb22002d32e190c0d630d3ba2f138f9dc7a949b8371",
|
||||
"research/audit-2026-10-09/numerical-report.md": "970330b3a593f79f09866ce6ae82bc0ddd81226230d0a6ff06ae8ae756ee80da",
|
||||
"research/audit-2026-10-09/numerical_collision_results.json": "51e5c263bb8cde82cedef2ccfdbf5ef657742a80218d7896b1ff877516e59693",
|
||||
"research/audit-2026-10-09/numerical_compile_results.json": "c3b0ae02072a2ec408ada7513b542ec255f6855cb743a3ed7f91bd8f31504f44",
|
||||
"research/audit-2026-10-09/numerical_semantics_results.json": "b95b065b594aa2911740dab216f87936c9bf7f7fa25acfda93b5738443564035",
|
||||
"research/audit-2026-10-09/root-initializers-report.md": "ca448457c444949d5d0e1e10fa7121064510b77fc4c3512580900f0299219867",
|
||||
"research/audit-2026-10-09/state-report.md": "f8708807efc2e109810c5955f7c1884a932668c0b3cb2963c2df3b09f2a3d5c4",
|
||||
"research/audit-2026-10-09/state_results.json": "da9170df3e11231c73f20e5e79ed68e08966673d1dd52004ea6b6a279afc0dcd",
|
||||
"research/design-2026-10-09/Contracts.lean": "2442d9a778ef20e8af3fecf23be6fea6d73c6299ff744c9664b652bc5ee3f034",
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||||
"src/CelerisLab/lbm/kernels/core/flags.cuh": "0025705f24710330d9d9195f713879bfb650a85a3449baef0e196b831af104ab",
|
||||
"src/CelerisLab/lbm/kernels/core/layout.cuh": "1fbd820021c89ac3efcde24145996cb0147769e607e498e61f308ed3e0b13706",
|
||||
"src/CelerisLab/lbm/kernels/core/obs.cuh": "b742b77c9f61e1f020fe9922c3838ae9d855e17b381154958b58f10a22938922",
|
||||
"src/CelerisLab/lbm/kernels/core/params.cuh": "6e18bf730d936d940e3d85452f0714a2eaae31bf41002f9fd520ec5b372878dd",
|
||||
"src/CelerisLab/lbm/kernels/core/precision.cuh": "849df14b4cce50af52399e4b8f3e997196f3ae5f1163f68e28df3e6b2507a8c4",
|
||||
"src/CelerisLab/lbm/kernels/kernel_v2.cu": "5bcc192e2c38371d4b24b6725f75fec7d00364557c4b4536b064edf2ec9c75c5",
|
||||
"src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh": "aee444eb60c47a3fd518dca975d1af05425a0818a0ec6c3fb3f6150f60c2cb44",
|
||||
"src/CelerisLab/lbm/kernels/operators/collision_srt.cuh": "6b7ff842f392c8f853d2d1a97cc69bfe50f21283f73e659404da07cf6c95f5e1",
|
||||
"src/CelerisLab/lbm/kernels/operators/collision_trt.cuh": "9725b9840b9ad8b4ec7be61ff5d06d3151e86d1a87585c13f2fbf934d0d2c5f6",
|
||||
"src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh": "969a430c1af03f32e3bd0df95d805e64f56334717c44dd4ba208ba503062a24b",
|
||||
"src/CelerisLab/lbm/kernels/operators/helpers.cuh": "0b3a4d95d7d19f5fec09e5423b8f4cc99f8a226b541967425967330da5a051ec",
|
||||
"src/CelerisLab/lbm/kernels/operators/macro.cuh": "e27c1c410dc857be98da4596568e405eeaf88701d291ac0e398aa9cd23dee740",
|
||||
"src/CelerisLab/lbm/kernels/operators/turbulence_smag.cuh": "ff7f000297ee0817e255ad9fcb6a13b647e3ddd5b206518d35f38d2895a9f501",
|
||||
"src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "bb7f07d898f0d5151e5bd0f45e6bd819c5e83a345a265b73204906ac3cc29db4",
|
||||
"src/CelerisLab/lbm/kernels/step/esopull_macro.cu": "c73116020ca217ede1e4de27c8269c31f9d91e33433ac8252a21e9b14187c50f",
|
||||
"src/CelerisLab/lbm/kernels/step/esopull_sync.cu": "c0ff3e72900c3ab89a05dd03684e96d3b740cf1672d565727fc2af165933d087",
|
||||
"src/CelerisLab/lbm/kernels/step/init_flow.cu": "b1139addaf8c2fa8532c167b4324b38ddd5b931cc499152c7c287710746eeaa6",
|
||||
"src/CelerisLab/lbm/kernels/step/one_step_double.cu": "9bbf48e0c907dc5e0bf9e8fb653acd09f49ebed7208dd595c802d07f7439e289",
|
||||
"src/CelerisLab/lbm/kernels/step/one_step_esopull.cu": "aa223b2744ae6c9125673df311a96ce588032c1ba58bebb11fd33ecb990f8ed4",
|
||||
"src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh": "dd5a9091628b079efd97e53fd49e52d09dcee88529235db77a5648e02937af6e",
|
||||
"src/CelerisLab/lbm/kernels/streaming/esopull_single_buffer.cuh": "77ed4ab9a0ebc5ff62a91a7c39066ef395391ae36e9040a69fb2bd8b1626dc79",
|
||||
"src/CelerisLab/lbm/kernels/streaming/pull_double_buffer.cuh": "b65d741ed78b7b62f99531ba0c0ce1936663d8dc9640e7d7d16c707f1baf6549",
|
||||
"src/CelerisLab/lbm/stepper.py": "e9e51e3a902fbda086d4707c0487e7b1dea6246fab290a24d82bd52d4296410e",
|
||||
"src/CelerisLab/simulation.py": "f701d60981d73df688e1284a85f4e42e732416253a631fb81d063490890490f6",
|
||||
"tests/audit/Force_region.md": "3092080afe4a30665fe1b721803621ba9d0dd5d20ad17826984d94efc160fdac",
|
||||
"tests/audit/Force_region_validation.md": "279a4484d1bfca0fd67aed4de3282d547aa048f89389420d8e5f2fd86db54fc2",
|
||||
"tests/conftest.py": "fa0ec26667872c9c1011d608310d2551fd24719b5d216f06d923ff4c74c73237",
|
||||
"tests/integration/__init__.py": "c354e43ba09b55a8013a2df2069438740b5f48b5917d855e52e33ab5d7da5a6c",
|
||||
"tests/integration/test_body_sync_e2e.py": "d29f01771f3512a4b3ad06fae4ee952327d7fd9f0476942402fe92e9e327fcec",
|
||||
"tests/integration/test_ddf_patch.py": "dda2abba32ca13e17098232f2831a0b1b66439c35f8931d9997a0257250c1281",
|
||||
"tests/integration/test_sync_bodies_skeleton.py": "65f55a0980659b49ae0027f0642a27e2ebaead226ef083f233e878150884b07c",
|
||||
"tests/integration/test_unified_obs.py": "4a681536099741d92bdc258525fe3374cbdbeba0d49996e53808381a1b6a13fa",
|
||||
"tests/postproc/experiment.ipynb": "c6b45db1c57200f0777213ef8d44cb4996c1aa7a5fb42b968b77e56f51b4fca4",
|
||||
"tests/postproc/run_exp_ctrl_matrix_streakline.py": "529d5f31a3862080f890c65177502b589710b2d960ddf131abaf7dc2f9e2a96f",
|
||||
"tests/postproc/run_exp_ctrl_matrix_vorticity.py": "b7e0c4113111b9b677f321750c0055656ccfa4f45c25fe7846f3ed22f30d1467",
|
||||
"tests/postproc/run_kan99b_streakline.py": "a2bbf3fc629ea170d2d4879317dbf2b81c43378a328100ac1f2ee8d9895666cb",
|
||||
"tests/postproc/run_stealth_steady_sweep.py": "3c32c4dede7da77fd6cfbd3f7b1ff43bb11390aaba621883ec96c6c7fdad5af7",
|
||||
"tests/postproc/streakline_triangle_clean.png": "aa6669de7af6f82e98af25698a15f494e9cea20cb911ad9a30fe52597d33bb79",
|
||||
"tests/postproc/vorticity_triangle_clean.png": "f831b8143b50f038d5920a0658469622655f34176d30cf7216feff108aa2ecaf",
|
||||
"tests/screening/run_config_sweep.py": "5030c99923815ed6ad39110cb56f748c579ff4c66c7c1a368ad1a6008017e2ff",
|
||||
"tests/specs/Kan99b_validation.md": "0d8bf74f2361f863809af1979bf8807adaa423f98321e1104a3d86d8c7a863cf",
|
||||
"tests/specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
|
||||
"tests/specs/exp_ctrl_matrix.md": "5d9dd2e703582572eb68afe3a7096ea43ec82aa03418d20ed283c5365031e433",
|
||||
"tests/specs/kan99b.md": "b7e0669f0a6b677d902204f3427d1b3ac254bfe70c37d9cf995fb3e8f1fedfb1",
|
||||
"tests/specs/sah04.md": "33dbe5e0fd63738abd055c4aa403c191b6de04e6efdbc568f1942c6d23c7459f",
|
||||
"tests/specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
|
||||
"tests/unit/__init__.py": "17f57920d9c1ff46096ceb2af008eb38c4b98dc81ffa3c3d310e758e80ca1cd4",
|
||||
"tests/unit/test_body_flags.py": "ac6409157924e15a13a3d2cc2f1a09014b8b0198ba17c824f412ff20b19e2aac",
|
||||
"tests/unit/test_equilibrium.py": "1ecbcc4547b1c846b75320463d828d6a36b6aae73208084fae476b1001c1bb50",
|
||||
"tests/unit/test_pending_edits.py": "905a0dff23b123e8e38aaf364984c810fe51c39acd64aa271e343a4701d3d024",
|
||||
"tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
|
||||
"tests/validation/run_kan99b_rotating_cylinder.py": "323186429a100f36b41ab9b81ade2da6a47e93be3ccb7034a3a6b97f4ee8eb00",
|
||||
"tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
|
||||
"tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
|
||||
"tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
|
||||
}
|
||||
}
|
||||
@@ -1,629 +0,0 @@
|
||||
--- a/src/CelerisLab/common/checkpoint.py
|
||||
+++ b/src/CelerisLab/common/checkpoint.py
|
||||
@@ -214,6 +214,10 @@
|
||||
|
||||
# Config compatibility check
|
||||
saved_cfg = json.loads(hf.attrs["config_json"])
|
||||
+ if "on_site_velocity" in (saved_cfg.get("y_wall_bc"), lbm_cfg.y_wall_bc):
|
||||
+ for key in ("y_wall_bc", "velocity", "wall_normal_velocity"):
|
||||
+ if saved_cfg.get(key) != getattr(lbm_cfg, key):
|
||||
+ raise ValueError(f"Checkpoint on-site boundary mismatch on '{key}'")
|
||||
for key in ("lattice_model", "nx", "ny", "nz", "store_precision",
|
||||
"streaming", "ddf_shifting"):
|
||||
saved_val = saved_cfg.get(key)
|
||||
@@ -279,6 +283,9 @@
|
||||
if key in raw_params}
|
||||
if not all(np.isfinite(value) for value in params.values()):
|
||||
raise ValueError("Checkpoint runtime parameters must be finite")
|
||||
+ if lbm_cfg.y_wall_bc == "on_site_velocity" and (
|
||||
+ bodies.count or any(params.get(k, 0.0) != 0 for k in ("fx", "fy", "fz"))):
|
||||
+ raise ValueError("on_site_velocity does not support body forces or objects")
|
||||
obs_accum_steps = int(hf.attrs.get("obs_accum_steps", 0))
|
||||
if obs_accum_steps < 0:
|
||||
raise ValueError("Checkpoint obs_accum_steps must be nonnegative")
|
||||
--- a/src/CelerisLab/config.py
|
||||
+++ b/src/CelerisLab/config.py
|
||||
@@ -34,7 +34,7 @@
|
||||
"regularized": 3,
|
||||
}
|
||||
OUTLET_MAP = {"neq_extrap": 0, "zero_gradient": 1, "blended": 2}
|
||||
-Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1}
|
||||
+Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1, "on_site_velocity": 2}
|
||||
DTYPE_MAP = {"FP32": "float", "FP64": "double"}
|
||||
|
||||
|
||||
@@ -86,6 +86,7 @@
|
||||
inlet_regularized_neq_damp: float = 0.5
|
||||
outlet_srt_neq_damp: float = 0.5
|
||||
y_wall_bc: str = "bounce_back"
|
||||
+ wall_normal_velocity: float = 0.0
|
||||
omega_min: float = 0.01
|
||||
omega_max: float = 1.99
|
||||
|
||||
@@ -127,7 +128,7 @@
|
||||
for name in ("viscosity", "velocity", "rho", "les_cs", "trt_magic_param",
|
||||
"outlet_blend_alpha", "inlet_trt_neq_damp",
|
||||
"inlet_regularized_neq_damp", "outlet_srt_neq_damp",
|
||||
- "omega_min", "omega_max"):
|
||||
+ "omega_min", "omega_max", "wall_normal_velocity"):
|
||||
if not math.isfinite(getattr(self, name)):
|
||||
raise ValueError(f"{name} must be finite.")
|
||||
if self.viscosity <= 0 or self.rho <= 0:
|
||||
@@ -150,6 +151,13 @@
|
||||
)
|
||||
if self.dim == 2 and self.nz != 1:
|
||||
raise ValueError("nz must be 1 for 2D")
|
||||
+ if self.y_wall_bc == "on_site_velocity":
|
||||
+ if (not self.is_d2q9 or self.collision != "SRT"
|
||||
+ or self.streaming != "double_buffer" or self.store_precision != "FP32"
|
||||
+ or self.ddf_shifting or self.les_enabled):
|
||||
+ raise ValueError("on_site_velocity requires D2Q9/SRT/FP32/unshifted/double_buffer without LES")
|
||||
+ if abs(self.wall_normal_velocity) >= 1:
|
||||
+ raise ValueError("on_site_velocity requires abs(wall_normal_velocity) < 1")
|
||||
if not (0.0 <= self.inlet_trt_neq_damp <= 1.0):
|
||||
raise ValueError("method.inlet.trt_neq_damp must lie in [0, 1].")
|
||||
if not (0.0 <= self.inlet_regularized_neq_damp <= 1.0):
|
||||
@@ -187,7 +195,9 @@
|
||||
"""Parameters that cannot change while field allocations/state are retained."""
|
||||
self.validate()
|
||||
return (self.lattice_model, self.nx, self.ny, self.nz, self.data_type,
|
||||
- self.store_precision, bool(self.ddf_shifting), self.streaming)
|
||||
+ self.store_precision, bool(self.ddf_shifting), self.streaming,
|
||||
+ (self.velocity, self.wall_normal_velocity)
|
||||
+ if self.y_wall_bc == "on_site_velocity" else None)
|
||||
|
||||
def to_macros(self) -> Dict[str, Any]:
|
||||
"""Return flat dict of macro_name → value for header generation."""
|
||||
@@ -216,6 +226,7 @@
|
||||
"OUTLET_BLEND_ALPHA": _float_literal(self.outlet_blend_alpha),
|
||||
"OUTLET_BACKFLOW_CLAMP": int(self.outlet_backflow_clamp),
|
||||
"Y_WALL_BC": Y_WALL_BC_MAP[self.y_wall_bc],
|
||||
+ "WALL_NORMAL_VELOCITY": _float_literal(self.wall_normal_velocity),
|
||||
"OMEGA_COLLISION_MIN": _float_literal(self.omega_min),
|
||||
"OMEGA_COLLISION_MAX": _float_literal(self.omega_max),
|
||||
"TRT_MAGIC_PARAM": _float_literal(self.trt_magic_param),
|
||||
@@ -284,6 +295,7 @@
|
||||
inlet_regularized_neq_damp=m["inlet"].get("regularized_neq_damp", 0.5),
|
||||
outlet_srt_neq_damp=m["outlet"].get("srt_neq_damp", 0.5),
|
||||
y_wall_bc=m.get("y_wall_bc", "bounce_back"),
|
||||
+ wall_normal_velocity=m.get("wall_normal_velocity", 0.0),
|
||||
omega_min=m["omega_guard"]["min"],
|
||||
omega_max=m["omega_guard"]["max"],
|
||||
threads_per_block=c["threads_per_block"],
|
||||
--- a/src/CelerisLab/configs/CONFIG.md
|
||||
+++ b/src/CelerisLab/configs/CONFIG.md
|
||||
@@ -101,3 +101,18 @@
|
||||
D2Q9/D3Q19 的 flag 扩展位 `0x0800` 定义为 `FRC_REGION`，用于标记 force_region 类型物体的格子。
|
||||
- ForceRegionKernel 不依赖 flag 位执行，flag 只用于后处理可视化。
|
||||
- `merge_flag_masks` 会正确合并 force_region 的 `FLUID | FRC_REGION` 标记。
|
||||
+# J1 on-site velocity planes (limited reference case)
|
||||
+
|
||||
+Set `method.y_wall_bc` to `"on_site_velocity"` and
|
||||
+`method.wall_normal_velocity` to V (default 0). This selects an x-periodic
|
||||
+domain with physical planes through fluid rows y=1 and y=NY−2, H=NY−3.
|
||||
+The bottom velocity is (0,V); the top is (`physics.velocity`,V).
|
||||
+These are constant **Cartesian** velocities: positive V injects through the
|
||||
+bottom and leaves through the top. The selected rows do not also receive
|
||||
+halfway reflection. Initialization uses a linear tangential profile and V.
|
||||
+
|
||||
+Supported only for D2Q9/SRT/FP32/unshifted/double_buffer without LES, objects
|
||||
+or body forces. Boundary targets and the mode are fixed at construction;
|
||||
+checkpoint restart requires matching targets. This is an entire-plane
|
||||
+Couette-throughflow reference, not a finite slot or curved jet API. The default
|
||||
+`bounce_back` mode and existing configurations retain their previous path.
|
||||
--- a/src/CelerisLab/cuda/compiler_v2.py
|
||||
+++ b/src/CelerisLab/cuda/compiler_v2.py
|
||||
@@ -65,6 +65,8 @@
|
||||
macros = cfg.to_macros()
|
||||
if isinstance(n_objects, bool) or not isinstance(n_objects, int) or n_objects < 0:
|
||||
raise ValueError("n_objects must be a nonnegative integer")
|
||||
+ if cfg.y_wall_bc == "on_site_velocity" and n_objects:
|
||||
+ raise ValueError("on_site_velocity currently requires an object-free domain")
|
||||
build_dir = tempfile.mkdtemp(prefix="celeris-build-", dir=build_root)
|
||||
try:
|
||||
shutil.copytree(_KERNEL_DIR, build_dir, dirs_exist_ok=True,
|
||||
@@ -173,6 +175,7 @@
|
||||
#define OUTLET_BLEND_ALPHA {m['OUTLET_BLEND_ALPHA']}
|
||||
#define OUTLET_BACKFLOW_CLAMP {m['OUTLET_BACKFLOW_CLAMP']}
|
||||
#define Y_WALL_BC {m['Y_WALL_BC']}
|
||||
+#define WALL_NORMAL_VELOCITY {m['WALL_NORMAL_VELOCITY']}
|
||||
|
||||
#define OMEGA_COLLISION_MIN {m['OMEGA_COLLISION_MIN']}
|
||||
#define OMEGA_COLLISION_MAX {m['OMEGA_COLLISION_MAX']}
|
||||
--- a/src/CelerisLab/lbm/field.py
|
||||
+++ b/src/CelerisLab/lbm/field.py
|
||||
@@ -123,6 +123,8 @@
|
||||
if self.cfg.is_d2q9:
|
||||
flag[0:self.nx] = SOLID | BC_WALL
|
||||
flag[(self.ny - 1) * self.nx:self.ny * self.nx] = SOLID | BC_WALL
|
||||
+ if self.cfg.y_wall_bc == "on_site_velocity":
|
||||
+ return flag # x periodic; physical y planes are the adjacent fluid rows.
|
||||
flag[::self.nx] = SOLID | BC_INLET
|
||||
flag[self.nx - 1::self.nx] = SOLID | BC_OUTLET
|
||||
flag[0] = SOLID | BC_WALL
|
||||
@@ -231,6 +233,10 @@
|
||||
|
||||
Accepted keys: omega, fx, fy, fz, n_objects.
|
||||
"""
|
||||
+ if self.cfg.y_wall_bc == "on_site_velocity" and (
|
||||
+ any(float(kwargs.get(k, 0.0)) != 0 for k in ("fx", "fy", "fz"))
|
||||
+ or int(kwargs.get("n_objects", 0)) != 0):
|
||||
+ raise ValueError("on_site_velocity does not support body forces or objects")
|
||||
self._runtime_params.update({
|
||||
"omega": float(kwargs.get("omega", self._runtime_params["omega"])),
|
||||
"fx": float(kwargs.get("fx", self._runtime_params["fx"])),
|
||||
--- /dev/null
|
||||
+++ b/src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
|
||||
@@ -0,0 +1,22 @@
|
||||
+// On-site D2Q9 Zou-He velocity closure, paired lattice ordering.
|
||||
+// Input is poststream f at the arrival time. Only unknown populations change;
|
||||
+// the caller owns collision/store. No force, shifting or off-lattice walls.
|
||||
+#ifndef CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
|
||||
+#define CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
|
||||
+
|
||||
+__device__ __forceinline__ void reconstruct_bottom_velocity(float* f, float u, float v)
|
||||
+{
|
||||
+ const float rho = (f[0] + f[1] + f[2] + 2.0f*(f[4] + f[6] + f[7])) / (1.0f-v);
|
||||
+ f[3] = f[4] + (2.0f/3.0f)*rho*v;
|
||||
+ f[5] = f[6] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u + (1.0f/6.0f)*rho*v;
|
||||
+ f[8] = f[7] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u + (1.0f/6.0f)*rho*v;
|
||||
+}
|
||||
+
|
||||
+__device__ __forceinline__ void reconstruct_top_velocity(float* f, float u, float v)
|
||||
+{
|
||||
+ const float rho = (f[0] + f[1] + f[2] + 2.0f*(f[3] + f[5] + f[8])) / (1.0f+v);
|
||||
+ f[4] = f[3] - (2.0f/3.0f)*rho*v;
|
||||
+ f[6] = f[5] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u - (1.0f/6.0f)*rho*v;
|
||||
+ f[7] = f[8] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u - (1.0f/6.0f)*rho*v;
|
||||
+}
|
||||
+#endif
|
||||
--- a/src/CelerisLab/lbm/kernels/kernel_v2.cu
|
||||
+++ b/src/CelerisLab/lbm/kernels/kernel_v2.cu
|
||||
@@ -56,6 +56,9 @@
|
||||
#include "boundary/bounce_back.cuh"
|
||||
#include "boundary/curved_boundary.cuh"
|
||||
#include "boundary/inlet_outlet.cuh"
|
||||
+#if Y_WALL_BC == 2
|
||||
+#include "boundary/planar_velocity.cuh"
|
||||
+#endif
|
||||
#include "boundary/ibm_kernels.cuh"
|
||||
|
||||
// ============================================================================
|
||||
--- a/src/CelerisLab/lbm/kernels/step/init_flow.cu
|
||||
+++ b/src/CelerisLab/lbm/kernels/step/init_flow.cu
|
||||
@@ -49,10 +49,12 @@
|
||||
{
|
||||
if (y == 0u || y == (unsigned int)(NY - 1))
|
||||
return (uint16_t)(FLAG_SOLID | FLAG_BC_WALL);
|
||||
+#if Y_WALL_BC != 2
|
||||
if (x == 0u)
|
||||
return (uint16_t)(FLAG_SOLID | FLAG_BC_INLET);
|
||||
if (x == (unsigned int)(NX - 1))
|
||||
return (uint16_t)(FLAG_SOLID | FLAG_BC_OUTLET);
|
||||
+#endif
|
||||
return FLAG_FLUID;
|
||||
}
|
||||
|
||||
@@ -85,7 +87,15 @@
|
||||
if (is_solid(fl)) {
|
||||
write_rest_equilibrium(fi, k);
|
||||
} else {
|
||||
+#if Y_WALL_BC == 2
|
||||
+ // Initial g(0)=feq: both boundary velocities are already satisfied.
|
||||
+ // Start from linear Couette, not the sought exponential steady profile.
|
||||
+ float f[NQ];
|
||||
+ compute_feq(RHO, U0*(float)(y-1u)/(float)(NY-3), WALL_NORMAL_VELOCITY, f);
|
||||
+ stream_pull_store(k, f, fi);
|
||||
+#else
|
||||
write_equilibrium(fi, k, inlet_target_u((float)y));
|
||||
+#endif
|
||||
}
|
||||
#elif DIM == 3
|
||||
unsigned int x, y, z; unsigned long k;
|
||||
@@ -138,4 +148,4 @@
|
||||
#endif
|
||||
}
|
||||
|
||||
-#endif // CELERIS_STEP_INIT_FLOW_CU
|
||||
\ No newline at end of file
|
||||
+#endif // CELERIS_STEP_INIT_FLOW_CU
|
||||
--- a/src/CelerisLab/lbm/kernels/step/one_step_double.cu
|
||||
+++ b/src/CelerisLab/lbm/kernels/step/one_step_double.cu
|
||||
@@ -88,7 +88,12 @@
|
||||
bounce_back_swap(f);
|
||||
|
||||
if (is_fluid(fl) && (y == 1u || y == (unsigned int)(NY - 2))) {
|
||||
-#if Y_WALL_BC == 1
|
||||
+#if Y_WALL_BC == 2
|
||||
+ // Reconstruct f(t+dt) on the physical plane, then collide below.
|
||||
+ // This replaces, rather than compounds, the halfway wall correction.
|
||||
+ if (y == 1u) reconstruct_bottom_velocity(f, 0.0f, WALL_NORMAL_VELOCITY);
|
||||
+ else reconstruct_top_velocity(f, U0, WALL_NORMAL_VELOCITY);
|
||||
+#elif Y_WALL_BC == 1
|
||||
apply_wall_freeslip_d2q9_y_pull(y, f, fi_in, k);
|
||||
#else
|
||||
apply_wall_bb_d2q9_y_pull(y, f, fi_in, k);
|
||||
--- a/src/CelerisLab/simulation.py
|
||||
+++ b/src/CelerisLab/simulation.py
|
||||
@@ -115,6 +115,8 @@
|
||||
Returns:
|
||||
int body_id (formal id before initialize; -1 if staged).
|
||||
"""
|
||||
+ if self.lbm_cfg.y_wall_bc == "on_site_velocity":
|
||||
+ raise ValueError("on_site_velocity currently requires an object-free domain")
|
||||
type_lower = str(type).strip().lower()
|
||||
|
||||
if type_lower == "circle":
|
||||
--- /dev/null
|
||||
+++ b/tests/unit/cpp/planar_velocity.cpp
|
||||
@@ -0,0 +1,30 @@
|
||||
+#include <cstdio>
|
||||
+#include <initializer_list>
|
||||
+#define __device__
|
||||
+#define __forceinline__ inline
|
||||
+#include "boundary/planar_velocity.cuh"
|
||||
+
|
||||
+int main() {
|
||||
+ const int cx[9]={0,1,-1,0,0,1,-1,1,-1};
|
||||
+ const int cy[9]={0,0,0,1,-1,1,-1,-1,1};
|
||||
+ const float w[9]={4.f/9,1.f/9,1.f/9,1.f/9,1.f/9,1.f/36,1.f/36,1.f/36,1.f/36};
|
||||
+ for (int top : {0,1}) for (float rho : {1.f,1.04f})
|
||||
+ for (float u : {-.02f,0.f,.02f}) for (float v : {-.01f,-.001f,0.f,.001f,.01f})
|
||||
+ for (int neq : {0,1}) {
|
||||
+ float f[9];
|
||||
+ printf("%d %.9g %.9g %.9g %d\n",top,rho,u,v,neq);
|
||||
+ for (int i=0;i<9;++i) {
|
||||
+ float cu=cx[i]*u+cy[i]*v;
|
||||
+ f[i]=w[i]*rho*(1+3*cu+4.5f*cu*cu-1.5f*(u*u+v*v));
|
||||
+ f[i]+=neq*.0001f*(i-4);
|
||||
+ // Unknown inputs must be completely overwritten, never consumed.
|
||||
+ if (cy[i]==(top?-1:1)) f[i]=-7.f-i;
|
||||
+ printf("%.9g ",f[i]);
|
||||
+ }
|
||||
+ puts("");
|
||||
+ if (top) reconstruct_top_velocity(f,u,v);
|
||||
+ else reconstruct_bottom_velocity(f,u,v);
|
||||
+ for (float value : f) printf("%.9g ",value);
|
||||
+ puts("");
|
||||
+ }
|
||||
+}
|
||||
--- /dev/null
|
||||
+++ b/tests/unit/test_planar_velocity.py
|
||||
@@ -0,0 +1,95 @@
|
||||
+"""J1 actual-header moments and bounded host capability contracts."""
|
||||
+import json
|
||||
+from pathlib import Path
|
||||
+from types import SimpleNamespace
|
||||
+
|
||||
+import h5py
|
||||
+import numpy as np
|
||||
+import pytest
|
||||
+
|
||||
+import CelerisLab
|
||||
+from CelerisLab.config import LBMConfig, load_lbm_config
|
||||
+from CelerisLab.cuda import compiler_v2 as compiler
|
||||
+from CelerisLab.common.checkpoint import save_checkpoint, load_checkpoint
|
||||
+from .test_numerical_operators import compile_run
|
||||
+from .test_state_regressions import device, make_field, manager
|
||||
+
|
||||
+
|
||||
+def test_planar_helper_moments_and_known_populations(tmp_path):
|
||||
+ root = Path(__file__).resolve().parents[2]
|
||||
+ assert Path(CelerisLab.__file__).resolve() == root/'src/CelerisLab/__init__.py'
|
||||
+ assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
|
||||
+ lines = compile_run(tmp_path, 'planar_velocity.cpp', {})
|
||||
+ cx = np.array([0,1,-1,0,0,1,-1,1,-1])
|
||||
+ cy = np.array([0,0,0,1,-1,1,-1,-1,1])
|
||||
+ w = np.array([4/9]+[1/9]*4+[1/36]*4)
|
||||
+ for start in range(0, len(lines), 3):
|
||||
+ top, rho, u, v, neq = np.fromstring(lines[start], sep=' ')
|
||||
+ before, after = [np.fromstring(s, sep=' ') for s in lines[start+1:start+3]]
|
||||
+ known = cy != (-1 if top else 1)
|
||||
+ np.testing.assert_array_equal(after[known], before[known])
|
||||
+ density = after.sum()
|
||||
+ np.testing.assert_allclose([after@cx, after@cy], density*np.array([u,v]), atol=3e-7, rtol=0)
|
||||
+ if not neq:
|
||||
+ cu = cx*u+cy*v
|
||||
+ expected = w*rho*(1+3*cu+4.5*cu**2-1.5*(u*u+v*v))
|
||||
+ np.testing.assert_allclose(after, expected, atol=3e-7, rtol=0)
|
||||
+ assert abs(density-rho) <= 3e-7
|
||||
+
|
||||
+
|
||||
+@pytest.mark.parametrize('override', [
|
||||
+ dict(collision='TRT'), dict(collision='MRT'), dict(streaming='esopull'),
|
||||
+ dict(store_precision='FP16S'), dict(ddf_shifting=True), dict(les_enabled=True),
|
||||
+ dict(lattice_model='D3Q19'), dict(wall_normal_velocity=1.),
|
||||
+ dict(wall_normal_velocity=float('nan')),
|
||||
+])
|
||||
+def test_planar_unsupported_configuration(override):
|
||||
+ with pytest.raises(ValueError):
|
||||
+ LBMConfig(y_wall_bc='on_site_velocity', **override).validate_runtime()
|
||||
+
|
||||
+
|
||||
+def test_planar_config_roundtrip_and_fixed_targets(tmp_path):
|
||||
+ path = Path(__file__).resolve().parents[2]/'src/CelerisLab/configs/config_lbm.json'
|
||||
+ data = json.loads(path.read_text())
|
||||
+ data['method'].update(y_wall_bc='on_site_velocity', wall_normal_velocity=-.01,
|
||||
+ collision='SRT', streaming='double_buffer',
|
||||
+ store_precision='FP32', ddf_shifting=False)
|
||||
+ data['method']['les']['enabled'] = False
|
||||
+ path = tmp_path/'config.json'
|
||||
+ path.write_text(json.dumps(data))
|
||||
+ cfg = load_lbm_config(str(path))
|
||||
+ assert float(cfg.to_macros()['WALL_NORMAL_VELOCITY'][:-1]) == -.01
|
||||
+ with pytest.raises(ValueError, match='object-free'):
|
||||
+ compiler.generate_config(cfg, n_objects=1, build_root=tmp_path)
|
||||
+ before = cfg.allocation_signature()
|
||||
+ cfg.wall_normal_velocity = .01
|
||||
+ assert cfg.allocation_signature() != before
|
||||
+
|
||||
+
|
||||
+def test_planar_force_rejected_before_state_change(device):
|
||||
+ field = make_field(device, y_wall_bc='on_site_velocity')
|
||||
+ before, writes = field._runtime_params.copy(), device.writes
|
||||
+ with pytest.raises(ValueError, match='body forces'):
|
||||
+ field.update_params(fx=.001)
|
||||
+ assert field._runtime_params == before and device.writes == writes
|
||||
+
|
||||
+
|
||||
+@pytest.mark.parametrize('damage', ['target', 'mode', 'force'])
|
||||
+def test_planar_checkpoint_contract_before_writes(device, tmp_path, damage):
|
||||
+ field = make_field(device, y_wall_bc='on_site_velocity')
|
||||
+ bodies = manager(field)
|
||||
+ bodies.sync_to_gpu(field)
|
||||
+ path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg, bodies,
|
||||
+ str(tmp_path/'plane.h5'))
|
||||
+ with h5py.File(path, 'a') as hf:
|
||||
+ if damage == 'force':
|
||||
+ hf.attrs['runtime_params_json'] = '{"fx":0.001}'
|
||||
+ else:
|
||||
+ cfg = json.loads(hf.attrs['config_json'])
|
||||
+ cfg['wall_normal_velocity' if damage == 'target' else 'y_wall_bc'] = (
|
||||
+ .01 if damage == 'target' else 'bounce_back')
|
||||
+ hf.attrs['config_json'] = json.dumps(cfg)
|
||||
+ writes = device.writes
|
||||
+ with pytest.raises(ValueError):
|
||||
+ load_checkpoint(path, field, SimpleNamespace(_step_count=0), field.cfg, bodies)
|
||||
+ assert device.writes == writes
|
||||
--- /dev/null
|
||||
+++ b/tests/validation/run_j1.py
|
||||
@@ -0,0 +1,239 @@
|
||||
+"""Bounded J1 Couette-throughflow validation; gates fixed before first run.
|
||||
+
|
||||
+See research/j1-2026-10-12/REVIEW.md. No production audit kernel or extra launch
|
||||
+is added: a temporary test build records actual incoming populations and the
|
||||
+roundoff of the real collision, then is compared with uninstrumented stepping.
|
||||
+"""
|
||||
+import argparse
|
||||
+import hashlib
|
||||
+import json
|
||||
+import os
|
||||
+from pathlib import Path
|
||||
+import sys
|
||||
+from tempfile import TemporaryDirectory
|
||||
+from unittest.mock import patch
|
||||
+
|
||||
+import numpy as np
|
||||
+import pycuda.driver as cuda
|
||||
+
|
||||
+import CelerisLab
|
||||
+from CelerisLab.cuda import compiler_v2 as compiler
|
||||
+from CelerisLab.simulation import Simulation
|
||||
+
|
||||
+ROOT = Path(__file__).resolve().parents[2]
|
||||
+CX = np.array([0,1,-1,0,0,1,-1,1,-1])
|
||||
+CY = np.array([0,0,0,1,-1,1,-1,-1,1])
|
||||
+GATES = dict(u_relative_l2=1e-3, v_max_error=2e-6, flux_relative_error=1e-3,
|
||||
+ mass_offset=1e-3, mass_window_span=6e-6, mass_chunk_change=2e-6,
|
||||
+ u_change=2e-5, v_change=2e-7, budget_relative_residual=2e-7)
|
||||
+
|
||||
+
|
||||
+def make_sim(v, mode='on_site_velocity'):
|
||||
+ config = json.loads((ROOT/'src/CelerisLab/configs/config_lbm.json').read_text())
|
||||
+ config['grid'].update(nx=16, ny=35, nz=1, lattice_model='D2Q9')
|
||||
+ config['physics'].update(viscosity=.1, velocity=.02, rho=1.)
|
||||
+ config['method'].update(collision='SRT', streaming='double_buffer',
|
||||
+ store_precision='FP32', ddf_shifting=False,
|
||||
+ y_wall_bc=mode, wall_normal_velocity=v)
|
||||
+ config['method']['les']['enabled'] = False
|
||||
+ with TemporaryDirectory(prefix='celeris-j1-config-') as folder:
|
||||
+ lbm, body = Path(folder)/'lbm.json', Path(folder)/'body.json'
|
||||
+ lbm.write_text(json.dumps(config))
|
||||
+ body.write_text('{"objects":[]}')
|
||||
+ return Simulation(str(lbm), str(body), device_id=0)
|
||||
+
|
||||
+
|
||||
+def populations(sim):
|
||||
+ return sim.get_ddf().reshape(9, sim.field.ny, sim.field.nx).astype(np.float64)
|
||||
+
|
||||
+
|
||||
+def observables(f):
|
||||
+ interior = f[:, 1:-1, :]
|
||||
+ rho = interior.sum(axis=0)
|
||||
+ ux = np.einsum('q,qyx->yx', CX, interior)/rho
|
||||
+ uy = np.einsum('q,qyx->yx', CY, interior)/rho
|
||||
+ return rho, ux, uy
|
||||
+
|
||||
+
|
||||
+AUDIT = r'''
|
||||
+__device__ double j1_incoming[2*NX];
|
||||
+__device__ double j1_collision[NX*NY];
|
||||
+__device__ void j1_collide_audit(float* f, float rho, float ux, float uy) {
|
||||
+ const unsigned x=threadIdx.x+blockIdx.x*blockDim.x, y=blockIdx.y;
|
||||
+ double before=0.0;
|
||||
+ for(int i=0;i<NQ;++i) before+=(double)f[i];
|
||||
+ if(y==1) j1_incoming[x]=(double)f[3]+f[5]+f[8];
|
||||
+ if(y==NY-2) j1_incoming[NX+x]=(double)f[4]+f[6]+f[7];
|
||||
+ collide_dispatch(f,rho,ux,uy);
|
||||
+ double after=0.0;
|
||||
+ for(int i=0;i<NQ;++i) after+=(double)f[i];
|
||||
+ j1_collision[y*NX+x]=after-before;
|
||||
+}
|
||||
+'''
|
||||
+
|
||||
+
|
||||
+def population_budget(sim):
|
||||
+ """16 real steps, separate incoming/outgoing/collision records, no targets."""
|
||||
+ saved = sim.get_ddf().copy()
|
||||
+ count = sim.stepper.step_count
|
||||
+ sim.run(16)
|
||||
+ plain = sim.get_ddf().copy()
|
||||
+ sim.field.ddf[:] = saved
|
||||
+ sim.field.upload_ddf()
|
||||
+ sim.stepper._step_count = count
|
||||
+ build = compiler.generate_config(sim.lbm_cfg)
|
||||
+ original_step = sim.stepper.step_fn
|
||||
+ try:
|
||||
+ source = Path(build)/'step/one_step_double.cu'
|
||||
+ code = source.read_text().replace('collide_dispatch(f, rho_n, ux, uy);',
|
||||
+ 'j1_collide_audit(f, rho_n, ux, uy);')
|
||||
+ marker = '__global__ __launch_bounds__(NT, 2)'
|
||||
+ assert code.count(marker) == 1
|
||||
+ source.write_text(code.replace(marker, AUDIT+'\n'+marker))
|
||||
+ audit_hash = hashlib.sha256(source.read_bytes()).hexdigest()
|
||||
+ ptx = compiler.compile_kernel(build_dir=build)
|
||||
+ rows = []
|
||||
+ with sim.ctx.activate():
|
||||
+ module = compiler.load_module(ptx)
|
||||
+ params, size = module.get_global('d_params')
|
||||
+ cuda.memcpy_dtod(params, sim.field.module.get_global('d_params')[0], size)
|
||||
+ incoming_ptr, _ = module.get_global('j1_incoming')
|
||||
+ collision_ptr, size = module.get_global('j1_collision')
|
||||
+ cuda.memset_d8(collision_ptr, 0, size)
|
||||
+ incoming = np.empty(2*sim.field.nx, dtype=np.float64)
|
||||
+ collision = np.empty(sim.field.n, dtype=np.float64)
|
||||
+ sim.stepper.step_fn = module.get_function('OneStep')
|
||||
+ for _ in range(16):
|
||||
+ before = populations(sim)
|
||||
+ mass = before[:, 1:-1].sum()
|
||||
+ outgoing_bottom = before[[4,6,7], 1, :].sum()
|
||||
+ outgoing_top = before[[3,5,8], -2, :].sum()
|
||||
+ sim.run(1)
|
||||
+ after = populations(sim)
|
||||
+ cuda.memcpy_dtoh(incoming, incoming_ptr)
|
||||
+ cuda.memcpy_dtoh(collision, collision_ptr)
|
||||
+ delta = after[:, 1:-1].sum()-mass
|
||||
+ bottom = incoming[:sim.field.nx].sum()-outgoing_bottom
|
||||
+ top = incoming[sim.field.nx:].sum()-outgoing_top
|
||||
+ physical_residual = delta-bottom-top
|
||||
+ residual = physical_residual-collision.sum()
|
||||
+ rows.append(dict(step=sim.stepper.step_count, mass=mass, delta_mass=delta,
|
||||
+ bottom_net_in=bottom, top_net_in=top,
|
||||
+ collision_roundoff=float(collision.sum()),
|
||||
+ physical_residual=physical_residual,
|
||||
+ budget_residual=residual))
|
||||
+ identical = np.array_equal(sim.get_ddf(), plain)
|
||||
+ return dict(steps=rows, instrumented_matches_plain=identical,
|
||||
+ audit_source_sha256=audit_hash,
|
||||
+ max_relative_residual=max(abs(r['budget_residual'])/r['mass'] for r in rows),
|
||||
+ max_physical_relative_residual=max(abs(r['physical_residual'])/r['mass'] for r in rows))
|
||||
+ finally:
|
||||
+ sim.stepper.step_fn = original_step
|
||||
+ compiler.cleanup_build_dir(build)
|
||||
+
|
||||
+
|
||||
+def run_case(v):
|
||||
+ height, nu, speed, nx = 32, .1, .02, 16
|
||||
+ chunk = int(np.ceil(.5*height**2/(np.pi**2*nu)))
|
||||
+ with make_sim(v) as sim:
|
||||
+ sim.initialize()
|
||||
+ # Reject unsupported entrypoints before observing the reference flow.
|
||||
+ try:
|
||||
+ sim.add_body('circle', center=(8,16), radius=2)
|
||||
+ except ValueError:
|
||||
+ pass
|
||||
+ else:
|
||||
+ raise AssertionError('J1 accepted an object')
|
||||
+ rho, ux, uy = observables(populations(sim))
|
||||
+ initial_mass = rho.sum()
|
||||
+ previous_u, previous_v, previous_mass = ux.mean(axis=1), uy.mean(axis=1), initial_mass
|
||||
+ history = [dict(step=0, mass=float(initial_mass))]
|
||||
+ steady = False
|
||||
+ for sample in range(1, 41):
|
||||
+ sim.run(chunk)
|
||||
+ f = populations(sim)
|
||||
+ if not np.isfinite(f).all():
|
||||
+ raise AssertionError('Nonfinite J1 populations')
|
||||
+ rho, ux, uy = observables(f)
|
||||
+ u, normal, mass = ux.mean(axis=1), uy.mean(axis=1), rho.sum()
|
||||
+ item = dict(step=sim.stepper.step_count, mass=float(mass),
|
||||
+ u_change=float(np.sqrt(np.mean((u-previous_u)**2))/speed),
|
||||
+ v_change=float(np.sqrt(np.mean((normal-previous_v)**2))),
|
||||
+ mass_change=float(abs(mass-previous_mass)/initial_mass))
|
||||
+ history.append(item)
|
||||
+ previous_u, previous_v, previous_mass = u.copy(), normal.copy(), mass
|
||||
+ tail = history[-4:]
|
||||
+ steady = sample >= 8 and all(
|
||||
+ r['u_change'] <= GATES['u_change'] and r['v_change'] <= GATES['v_change']
|
||||
+ and r['mass_change'] <= GATES['mass_chunk_change'] for r in tail)
|
||||
+ steady = steady and np.ptp([r['mass'] for r in history[-5:]])/initial_mass <= GATES['mass_window_span']
|
||||
+ if steady:
|
||||
+ break
|
||||
+ y = np.arange(height+1)
|
||||
+ exact = speed*y/height if v == 0 else speed*np.expm1(v*y/nu)/np.expm1(v*height/nu)
|
||||
+ relative_l2 = float(np.linalg.norm(u[1:-1]-exact[1:-1])/np.linalg.norm(exact[1:-1]))
|
||||
+ v_error = float(np.max(np.abs(uy-v)))
|
||||
+ sections = [8,16,24] # Distances above physical bottom; none is a BC row.
|
||||
+ flux = [float(np.sum(rho[s]*uy[s])) for s in sections]
|
||||
+ target_flux = float(rho.mean()*v*nx)
|
||||
+ flux_error = max(abs(q-target_flux)/abs(target_flux) for q in flux) if v else max(abs(q)/nx for q in flux)
|
||||
+ mass_span = float(np.ptp([r['mass'] for r in history[-5:]])/initial_mass)
|
||||
+ offset = float(abs(mass-initial_mass)/initial_mass)
|
||||
+ result = dict(v=v, height=height, nx=nx, nu=nu, top_u=speed,
|
||||
+ pe=v*height/nu, re=speed*height/nu,
|
||||
+ ma=float(np.hypot(speed,v)*np.sqrt(3)),
|
||||
+ steps=sim.stepper.step_count, max_steps=40*chunk, steady=bool(steady),
|
||||
+ relative_l2=relative_l2, v_max_error=v_error,
|
||||
+ mass_offset=offset, mass_window_span=mass_span,
|
||||
+ rho_range=[float(rho.min()),float(rho.max())],
|
||||
+ section_y=sections, measured_flux=flux, reference_flux=target_flux,
|
||||
+ flux_error=flux_error, profile_u=u.tolist(), profile_v=normal.tolist(),
|
||||
+ analytic_u=exact.tolist(), history=history)
|
||||
+ budget = population_budget(sim)
|
||||
+ result['population_budget'] = budget
|
||||
+ result['passed'] = bool(steady and relative_l2 <= GATES['u_relative_l2']
|
||||
+ and v_error <= GATES['v_max_error']
|
||||
+ and flux_error <= (GATES['flux_relative_error'] if v else GATES['v_max_error'])
|
||||
+ and offset <= GATES['mass_offset'] and mass_span <= GATES['mass_window_span']
|
||||
+ and budget['instrumented_matches_plain']
|
||||
+ and budget['max_relative_residual'] <= GATES['budget_relative_residual'])
|
||||
+ return result
|
||||
+
|
||||
+
|
||||
+def off_path_check(baseline):
|
||||
+ outcomes = []
|
||||
+ for kernel_root in (baseline, Path(compiler.kernel_path(''))):
|
||||
+ with patch.object(compiler, '_KERNEL_DIR', str(kernel_root)):
|
||||
+ with make_sim(0., mode='bounce_back') as sim:
|
||||
+ sim.initialize()
|
||||
+ sim.run(7)
|
||||
+ outcomes.append((sim.get_ddf().copy(), sim.get_flags().copy()))
|
||||
+ return bool(all(np.array_equal(a,b) for a,b in zip(*outcomes)))
|
||||
+
|
||||
+
|
||||
+def main():
|
||||
+ parser = argparse.ArgumentParser(description=__doc__)
|
||||
+ parser.add_argument('--output', type=Path, required=True)
|
||||
+ parser.add_argument('--baseline-kernels', type=Path,
|
||||
+ help='Optional pre-change CUDA source for the off-mode comparison')
|
||||
+ args = parser.parse_args()
|
||||
+ assert Path.cwd() == ROOT == Path('/home/frank14f/CelerisLab')
|
||||
+ assert Path(CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
|
||||
+ assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == ROOT/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
|
||||
+ assert os.environ.get('CUDA_VISIBLE_DEVICES') in ('0','1')
|
||||
+ report = dict(python=sys.executable, package=CelerisLab.__file__,
|
||||
+ cuda_source=compiler.kernel_path('kernel_v2.cu'),
|
||||
+ physical_gpu=os.environ['CUDA_VISIBLE_DEVICES'], gates=GATES, cases=[])
|
||||
+ report['off_path_bitwise_equal'] = (off_path_check(args.baseline_kernels)
|
||||
+ if args.baseline_kernels else None)
|
||||
+ for v in (0., .001, -.001, .01, -.01):
|
||||
+ case = run_case(v)
|
||||
+ report['cases'].append(case)
|
||||
+ args.output.write_text(json.dumps(report, indent=2)+'\n')
|
||||
+ print(json.dumps({k:case[k] for k in ('v','steps','steady','relative_l2','v_max_error',
|
||||
+ 'mass_offset','mass_window_span','flux_error','passed')}), flush=True)
|
||||
+ return 0 if report['off_path_bitwise_equal'] is not False and all(c['passed'] for c in report['cases']) else 1
|
||||
+
|
||||
+
|
||||
+if __name__ == '__main__':
|
||||
+ raise SystemExit(main())
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,119 +0,0 @@
|
||||
# J2 静态有限平壁 slot：运行前冻结约定
|
||||
|
||||
2026-10-12。root唯一写入，沿用J1能力范围。起点HEAD和208个现有文件的准确SHA256见baseline.json；src/tests副本仅为制作本包增量和旧路径对照。保留此前脏树、checkpoint v3、四个配置头和notebook。不提交推送，不修改其他项目或环境。
|
||||
|
||||
## 参考和修改范围（代码修改前记录）
|
||||
|
||||
沿用本地lbm-ref-architecture-guard。已搜索并核对ref/OpenLB/src/boundary/zouHeDynamics.hh:67–118，以及research/design-2026-10-09/jet-study.md中Zou–He Eq14–18、Ho scheme A的本地阅读记录。
|
||||
|
||||
1. 只重建poststream未知populations；已有paired-D2Q9 helper负责对应方向、密度分母和切向矩修正，不改公式。
|
||||
2. reconstruction后在同一节点collision/store。slot与零速flanks共用y=1物理平面，均不额外halfway反射。
|
||||
3. 空间目标profile只改变传给helper的局部速度，不改变分布阶段或引入launch。静态幅值不需要时间插值。
|
||||
4. profile与离散求和是本包公开的设计约定，不声称由参考文献证明其数值精度；实际流量、对称与收支须实测。
|
||||
|
||||
修改范围：config参数/宏/静态签名→compiler生成临时头→planar_velocity目标函数→现有init/step；checkpoint仅增加静态宽度比较（旧v3缺省为0）；CONFIG说明、针对性单测和复用J1审计的J2验证器。没有注册框架或新生产kernel。
|
||||
|
||||
## 参数、符号与初始化
|
||||
|
||||
新增整数method.wall_slot_width=W，默认0保留J1整平面路径；非零时要求2≤W≤NX、on_site_velocity且physics.velocity=0。中心c=(NX−1)/2，x=0..NX−1，单元面积权重均为1。
|
||||
|
||||
有限宽W<NX时s=2(x−c)/W，w(x)=(1−s²)²（|s|<1），其余为0。底部Cartesian v_b=A*w，A=wall_normal_velocity是连续profile中心峰值，离散中心不一定取到A，不重新归一峰值。公开请求Q=A*Σ_x w(x)，上部Cartesian v_t=Q/NX。W=NX明确使用w=1而不是保留边缘shape；W=0仍是J1的均匀A。CPU双精度求和生成top速度宏，实际CUDA目标为FP32，容许对应舍入；这只是请求体积配平，不是实际密度加权质量精确配平。
|
||||
|
||||
正A：底部向流体法向+n_y注入，上壁向流体法向−n_y故排出；负A两端反转。平面y=1与NY−2，H=NY−3。有限slot初态rho=1、u=0，v在底部profile与均匀top之间按y/H线性插值，写局部feq作为g(0)；初态满足目标但不是已求得的稳态/散度自由场。之后pull g(t)→到达时刻f(t+dt)→未知重建→SRT→g(t+dt)。全宽/禁用沿原J1初始化。
|
||||
|
||||
## 冻结有界验收（首次测试前）
|
||||
|
||||
- NX48，NY35，H32，nu=.1，U=0，rho0=1。有限宽W16，A=0,+.002,−.002；峰值尺度Re=A_abs*H/nu=.64，Ma≈.00347。不做端点或网格sweep。
|
||||
- 采样间隔519步，每例最多40间隔=20760步，至少8间隔后才判稳。连续4间隔完整u/v场各自RMS变化/速度尺度≤5e−5；速度尺度固定max(|A|,.002)，不是用近零观测值作分母。每间隔相对初始质量变化≤2e−6，最后4间隔质量相对跨度≤6e−6，初末相对质量偏移≤1e−3。记录完整历史，不将持续增长解释为gauge freedom。
|
||||
- 所有populations有限，rho最大偏离1≤.005，实际最大速度≤.01。零幅值时所有流体节点最大速度≤2e−6。
|
||||
- 有限正/负：内部距离底平面8、16、24处实测Σrho*v，对rho_bar*Q的相对误差≤.005，三个截面流量跨度/|rho_bar*Q|≤.002；这是带弱可压缩/离散误差的诊断参照，不以请求量自证。另记录所有边界和内部宏观体积流量Σv、质量流量Σrho*v。底部/上部宏观目标最大速度误差≤2e−6。
|
||||
- x镜像x↔NX−1−x：rho、v偶对称，u奇对称。max|rho−mirror(rho)|/rho0≤2e−5；max|v−mirror(v)|/速度尺度、max|u+mirror(u)|/速度尺度≤.002。容差为FP32温和低速案例诊断值，不宣称误差阶。实际内部中心v须与A同号，且max|u|>1e−5，防止只有均匀伪解通过流量。
|
||||
- 全宽W=NX、A=.002：同网格/U=0/初值，与本包起点原J1均匀路径比较初始化和64步DDF/flags逐值相同。默认关闭的旧bounce_back短通道也与起点逐值相同。
|
||||
- 每例再核对16步实际全平面population预算：包含全部底部slot、零目标flanks和整个上壁的真实incoming/outgoing；独立记录实际collision舍入。预算残差/M≤2e−7，另报不扣collision的物理残差；审计版与普通版逐值相同。必要时复用J1测试审计并细分slot/flank账，生产不加记录器。
|
||||
- 配置错误、静态参数改变、checkpoint宽度/幅值不一致必须在写状态前拒绝；同参数slot恢复后续短轨迹逐值相同；兼容旧v3缺少宽度字段时默认0。实际profile节点值/请求Q独立验算（CPUshim与GPU场），保持已有J1矩测试。
|
||||
|
||||
全部运行固定cwd=/home/frank14f/CelerisLab、解释器=/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python、进程PYTHONPATH=/home/frank14f/CelerisLab/src。每次Python/编译/测试核对来源；每次GPU执行先查获准GPU0/1空闲。原始失败/成功日志保留；门槛变动必须显式记录。当前尚未执行本包测试。
|
||||
|
||||
## 完成状态：实现完成，有限 slot 未通过质量稳态验收
|
||||
|
||||
以上为运行前冻结记录。门槛未改，未追加长期计算或更换参数以求通过。正/负有限slot均达到20760步上限，末段速度变化达标，但质量仍增长；不能称为稳态质量验收通过，也不能以压力基准自由度接受。生产模式默认关闭，CONFIG中已标注本轮实测限制。
|
||||
|
||||
| 案例 | 步数 | 质量相对初态偏移 | 末4间隔质量相对跨度 | 内部质量流量最大相对误差 | 判定 |
|
||||
| --- | ---: | ---: | ---: | ---: | --- |
|
||||
| A=0，W16 | 4152 | 6.70552e-8 | 0 | 内部实测0 | 通过 |
|
||||
| A=+.002，W16 | 20760 | 9.44271e-5 | **9.10981e-6** | 2.41774e-4 | **质量/稳态失败** |
|
||||
| A=−.002，W16 | 20760 | 8.50923e-5 | **8.50902e-6** | 3.34474e-4 | **质量/稳态失败** |
|
||||
|
||||
有限案例末4间隔的质量增量分别约2.18–2.33e-6与2.01–2.20e-6/间隔，超过2e-6；窗口跨度超过6e-6。总偏移仍小于1e-3，不能用这一点替代末段漂移门槛。零幅值最终整个流体域u=v=0。
|
||||
|
||||
### 请求与真实流量
|
||||
|
||||
W16、NX48时Σw=8.533447265625，Q=±0.01706689453125，top v=±0.000355560302734375。离散峰值略小于A。原始实际rho/u/v二维场、全部纵向截面的宏观Σv和Σrho*v、质量采样与真实population账均见results.json。
|
||||
|
||||
| A | 内部y距8处Σrho*v | 距16处 | 距24处 | 底平面Σrho*v | 顶平面Σrho*v |
|
||||
| --- | ---: | ---: | ---: | ---: | ---: |
|
||||
| +.002 | .01706983335 | .01707181893 | .01707263291 | .01707108133 | .01706793159 |
|
||||
| −.002 | −.01706487872 | −.01706400141 | −.01706263795 | −.01706563681 | −.01706770062 |
|
||||
|
||||
内部截面跨度相对参照为1.64019e-4和1.31282e-4，均通过.002门槛。边界最大速度误差为3.59193e-8和3.30522e-8；最大实际速度约.0019844，密度最大偏差分别3.41552e-4和2.47041e-4。
|
||||
|
||||
### 对称与独立质量预算
|
||||
|
||||
rho偶对称误差/rho0：正5.01052e-7、负4.99189e-7。u奇对称误差/固定.002：正9.03279e-5、负9.03303e-5；v偶对称误差/固定.002：正1.00537e-4、负9.03337e-5。均低于冻结门槛。内部中心v方向和非零横向u检查通过。
|
||||
|
||||
每例末态16步的实际全平面预算残差均为0，审计版与普通版逐值相同。这只证明已记录FP32分布的离散收支相符，不代表质量恒定或物理误差为0。
|
||||
|
||||
| A | 每步平均ΔM | 全边界平均净流入 | 平均collision舍入 |
|
||||
| --- | ---: | ---: | ---: |
|
||||
| 0 | 0 | 0 | 0 |
|
||||
| +.002 | 8.10414e-6 | 3.89630e-6 | 4.20783e-6 |
|
||||
| −.002 | 6.77782e-6 | 2.62831e-6 | 4.14951e-6 |
|
||||
|
||||
未扣collision的最大相对物理预算残差为正4.94425e-9、负8.18954e-9。正case底slot/flanks/top平均净交换为.01706407918、7.56886e-6、−.01706775173；负case为−.01705836912、−7.00448e-6、.01706800191。完整incoming/outgoing均已存储，没有忽略零目标flanks。这种按节点索引的population分账包括时间变化和斜向分布重分配，flanks分账净值不能直接解释为该处宏观穿壁速度。
|
||||
|
||||
结论限于实测：请求体积配平没有给出实际质量精确配平，且FP32碰撞舍入也贡献了增长。只读复核未发现本包profile、Zou–He未知方向、符号、阶段或checkpoint方面的必改编码错误。若后续要改变质量控制/出口条件，应先重新明确物理契约；本包未加入动态top、质量修正或密度钳制。
|
||||
|
||||
## 回归与只读复核
|
||||
|
||||
- CPU：98 passed、13 subtests passed，4.34秒，见cpu.log。包括实际CUDA helper CPUshim的9种profile/幅值组合、离散Q、配置/静态签名、checkpoint宽度不一致在写状态前拒绝、旧v3缺宽度按0、同宽度恢复，以及已有J1矩/力/对象限制与状态测试。
|
||||
- 全宽W48与起点原J1 W0，U0=0/A=.002，初态与64步DDF/flags逐值相同。默认关闭旧通道7步DDF/flags与起点逐值相同。
|
||||
- 正slot checkpoint载入新Simulation后7步DDF/flags/step_count逐值相同。
|
||||
- architecture只读复核：未发现生产编码必改项；发现验证器原先允许省略baseline使两项比较跳过。现已要求该参数，并用CLI检查确认省略时在访问CUDA前退出2。本次GPU调用始终带baseline，因此不影响数值结果；未重跑物理路径。
|
||||
- 本轮最终数值验证进程退出1，真实反映两例失败，不报告成全通过。
|
||||
|
||||
## 实际执行与失败记录
|
||||
|
||||
首次沙箱内nvidia-smi无法连接驱动；获准设备访问后只读检查成功：GPU0为0%、9MiB且无计算进程，GPU1已有其他Python进程占约362MiB。每次GPU运行前重复核对，只用物理GPU0；未干扰GPU1。未安装依赖或修改环境设置。
|
||||
|
||||
CPU实际命令（cwd固定为本项目）：
|
||||
|
||||
```bash
|
||||
env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python - <<'PY' > research/j2-slot-2026-10-12/cpu.log 2>&1
|
||||
from pathlib import Path
|
||||
import sys, pytest, CelerisLab
|
||||
from CelerisLab.cuda import compiler_v2 as compiler
|
||||
root=Path('/home/frank14f/CelerisLab')
|
||||
assert Path.cwd()==root
|
||||
assert sys.executable=='/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
|
||||
assert Path(CelerisLab.__file__).resolve()==root/'src/CelerisLab/__init__.py'
|
||||
assert Path(compiler.kernel_path('kernel_v2.cu')).resolve()==root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
|
||||
print(sys.executable, CelerisLab.__file__, compiler.kernel_path('kernel_v2.cu'))
|
||||
raise SystemExit(pytest.main(['tests/unit/test_slot_velocity.py','tests/unit/test_planar_velocity.py','tests/unit/test_build_contracts.py','tests/unit/test_state_regressions.py','tests/unit/test_simulation_lifecycle.py','-q','--tb=short','-p','no:cacheprovider']))
|
||||
PY
|
||||
```
|
||||
|
||||
数值验证实际命令（执行两次；两次前均核对GPU0空闲）：
|
||||
|
||||
```bash
|
||||
env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_j2_slot.py --output research/j2-slot-2026-10-12/results.json --baseline-kernels /tmp/celeris-j2-before/src/CelerisLab/lbm/kernels > research/j2-slot-2026-10-12/gpu-validation.log 2>&1
|
||||
```
|
||||
|
||||
第一次在零幅值计算完成后，输出JSON时因NumPy bool失败，日志原样移为gpu-serialization-failure.log；没有生成完整结果。将checks显式转为Python bool后完整重跑，模型/参数/门槛未改。第二次数值失败记录保留为gpu-validation.log，逐项指标在results.json。
|
||||
|
||||
CLI缺baseline检查使用同一解释器/进程PYTHONPATH和来源断言，通过runpy运行run_j2_slot.py，argv为`['run_j2_slot.py','--output','unused.json']`，断言SystemExit.code==2；原始stderr与确认在cli.log。未访问GPU、未创建unused.json。
|
||||
|
||||
## 增量与保存
|
||||
|
||||
incremental.diff仅包含相对本包起点的12个文件：生产代码6个文件+43/−3行，CONFIG说明+29/−2行，测试与验证5个文件+256/−6行，总计+328/−11行。没有新增生产文件或kernel launch。为避免混入此前同文件中的修改，不提交；没有推送。四个配置头和notebook的SHA256与起点相同，其余原文件均保留。git diff --check和增量补丁反向校验通过，反向应用后逐字节匹配起点哈希。
|
||||
|
||||
保留全部原始成功/失败日志。临时CUDA审计构建自动清理，重复起点副本在补丁反向核验后删除。日后复跑需先在临时副本中用本包diff反向重建起点src，再提供其kernels目录作为必需的baseline；不要在当前脏工作树直接反向应用。停在此包交复审；尚未覆盖长期质量稳定、端点/网格阶/性能、其他碰撞/精度/streaming、曲面slot或AMR。
|
||||
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