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9 changed files with 867 additions and 37 deletions
+89
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@@ -459,3 +459,92 @@ What's kept and enforced:
a 600 kB cap. If invalid it is dropped and an error is recorded, keeping
the scalar receipt.
- There are no new pass gates; this is a mechanism diagnostic only.
### Single x-gap-width contrast (`wide_x_shear_n128`)
This opt-in admits only Re100/N128/projected depth3 with `--probe-trace`.
The outer boxes, three grid spacings, viscosities, initialization, five main
sample times and trace windows are unchanged. L1→L2 parent-frame rectangles
are `[(56,44,96,212),(160,60,200,228)]`: both x-normal middle gaps widen from
6 to 12 root cells, while y gaps remain 6. Active leaves are
`[7936,20352,53760]`, hops `[2048,4096,8192]`, work 540,016,640 active updates.
This also moves the L2 x faces and reduces its volume; it is not a pure
travel-distance experiment. No new qualification matrix, assessor, threshold
or snapshot is added. Existing scalar screens and all failures stay visible.
The same 24 targets and actual-center metadata are retained. The horizontal
probes stop before the new inner face x = 28: they do not bracket that interface
or sample its fine side. The first 8 horizontal L0/L1 probes keep identical
centers, and the y-normal x = 38 transect is unchanged. Their temporal residuals
can support a descriptive timing contrast, but cannot establish a crossing
or reflection coefficient. Changed-level probes must not be treated as
collocated samples. `rho-1` remains raw density deviation; do not substitute
the 24-probe mean for the global pressure gauge.
### POST-G initialization counterfactual (`postg_shear_n128`)
Exactly three fresh Re100 cases are admitted: U128, U512, and projected R128
depth 3 with the original nested rectangles. Each requires `--flow shear_wave
--diagnostic postg_shear_n128 --probe-trace`; snapshots and early-pressure mode
are excluded. Geometry, physical velocity/density, viscosities, collisions,
five main times and the 24 signed probes/windows are unchanged. Total work is
2,952,265,728 active updates, with 15 main rows, 774 trace rows and five builds.
Only initialization changes. At level spacing h, k_level = h k and
A_i = 3 w_i U cos(theta) (c_i dot e) (c_i dot k_level). Initialize physical
FP64 **POST G = feq - (tau - 1) A**, then use the existing shifted FP32 codec.
This is the first-gradient, low-Mach Chapman-Enskog approximation, not an
exact discrete eigenstate. The PRE coefficient is -tau; the physical viscous
stress coefficient tau - 1/2 must not replace the raw POST-G coefficient.
The correction has zero mass/momentum before encoding; FP32 introduces normal
roundoff. U512 uses its native k and tau, matching nested L2 physical spacing.
Receipts pin the new initializer module and identify `postg_first_gradient_v1`,
with `qualification_eligible=false`. Existing scalar screens remain visible
as descriptive outcomes, including failures; no new pass gate or assessor is
introduced. Historical assessors reject the new diagnostic and initialization
identities. Compare raw rows and signed traces with the retained equilibrium
receipts as a startup-state counterfactual. The host first-interval pressure
RMS reduction is not a prediction of long-time improvement, and individual
probe errors can increase. All equilibrium paths and historical verdicts stay
unchanged.
### Short square orientation diagnostic (`axis_square_shear_n128`)
Four fresh cases only: U128, U256, constant R128 and projected R128 depth 2.
Use `--flow shear_wave --diagnostic axis_square_shear_n128 --probe-trace`.
The supported union is `[[(32,32,96,96)]]`; a full-height periodic fine strip
is not supported by the unchanged production geometry. All four cases use
POST G = feq - (tau - 1) A, mode (2,0), polarization (0,1), phase pi/4,
U=.03 and Re100. Root/fine nu are .0384/.0768 and tau are .6152/.7304.
This first-gradient low-Mach initialization is not an exact discrete mode.
Stop at root step 8: two global rows at 0/8, nine local rows at 0..8;
U256 advances two native steps per root step. Refined leaves are [12288,16384],
hops [8,16], work 360,448 per refined case. Four-case work is 1,900,544 ACTIVE
updates, six build sidecars and 720 native cell-time samples. Existing runtime,
build/source guards and receipt/trace caps apply. No snapshots or late fit.
`screening_pass=null`, `qualification_eligible=false`: exit zero means valid
finite completion, with no physical pass threshold or legacy assessor.
Eight root-unit-cell groups (i,j): inner L/R/B/T = (32,64)/(95,63)/(64,32)/(63,95),
outer L/R/B/T = (31,64)/(96,63)/(64,31)/(63,96). Refined inner groups contain four
fine cells, outer groups one coarse cell; U128 uses one and U256 four per group.
Retain raw rho/ux/uy, native indices, physical centers/areas and parity. Group
residuals are signed means of rho-1 and rho*u-u_exact, evaluated at each actual
center; normalization uses that group's mean analytic d(uy)/dx. Only inner
L/B and R/T pairs have exactly opposite equal-magnitude gradients. Controls
have their own native quadrature. Probe density is ungauged; global pressure
RMS uses one domain gauge.
Actual-table local corridors match tangentially extended straight faces beyond
22.5 root cells. The conservative paired-map radius is 2.5 root cells per root
step, so these selected groups through step 8 are locally straight-face
equivalent. This is not a claim about global corner errors. For projected
explosion with actual missing-normal-gradient fallback, the stationary
linearized affine reference after the first complete root interval predicts
zero conserved-moment error on vertical faces. At the
bottom/top inner fine quartets its mean delta jx / d(uy)/dx is
-/+ 1/(576*tau_f), with opposite adjacent-coarse redistribution.
Keep raw values, step-zero rounding and fresh controls: sinusoidal curvature
and finite-Mach effects prevent treating this coefficient as an exact gate.
+103 -27
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@@ -25,7 +25,13 @@ NESTED_SHEAR = "nested_shear_n128" # fixed three-level/two-region shear preset
SHEAR_NESTED_SHA256 = "fa6cfe87fb4df8c6d732c637c885276833c81973b950c7724d734f8fc350bcb0"
TWIN_SHEAR = "twin_shear_n128" # depth-2 twin: nested L0->L1 boxes without L2
SHEAR_TWIN_SHA256 = "1cbf37f18e89aea577581631c4565f51e68d22a3739b698816ef64acbf2b2bb4"
SHEAR_PROBES_SHA256 = "53ba8af8ac9c8078c40f84488c7ade4c11ccc91dd1fc275ff806042e9af30166" # signed interface-probe mechanism diagnostic
WIDE_X_SHEAR = "wide_x_shear_n128" # one projected x-gap-width contrast
SHEAR_WIDE_X_SHA256 = "13d16ba355117e2d074edccd9dc5d694c2fc13c673a0abdfca6401f6ed917733"
AXIS_SQUARE = "axis_square_shear_n128" # short four-face orientation diagnostic
SHEAR_AXIS_SQUARE_SHA256 = "0baffa6eb99c268ce998d90300c993d45bb3b7b27c524b636874d75808bd0a8c"
POSTG_SHEAR = "postg_shear_n128" # initialization-only three-case counterfactual
SHEAR_POSTG_SHA256 = "9c909fa013c092490ee21532e3125b2a78a4c5102c7a1bdc0e76986d3f0ef903"
SHEAR_PROBES_SHA256 = "e2e6490d281cc275f448dc6d6ea7b9b4407cc74a51e9256b86c08c8626b89b76" # signed interface-probe mechanism diagnostic
def flow_functions(flow="taylor_green"):
@@ -121,6 +127,27 @@ def verify_source(repo, revision, flow="taylor_green", probes=False):
or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_PROBES_SHA256):
raise RuntimeError("Wrong shear_probes module checkout or content")
result["shear_probes_sha256"] = SHEAR_PROBES_SHA256
if flow == "shear_axis_square":
import shear_axis_square
module = harness / "shear_axis_square.py"
if (Path(shear_axis_square.__file__).resolve() != module
or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_AXIS_SQUARE_SHA256):
raise RuntimeError("Wrong shear_axis_square module checkout or content")
result["shear_axis_square_sha256"] = SHEAR_AXIS_SQUARE_SHA256
if flow == "shear_postg":
import shear_postg
module = harness / "shear_postg.py"
if (Path(shear_postg.__file__).resolve() != module
or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_POSTG_SHA256):
raise RuntimeError("Wrong shear_postg module checkout or content")
result["shear_postg_sha256"] = SHEAR_POSTG_SHA256
if flow == "shear_wide_x":
import shear_wide_x
module = harness / "shear_wide_x.py"
if (Path(shear_wide_x.__file__).resolve() != module
or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_WIDE_X_SHA256):
raise RuntimeError("Wrong shear_wide_x module checkout or content")
result["shear_wide_x_sha256"] = SHEAR_WIDE_X_SHA256
if flow == "shear_twin":
import shear_twin
module = harness / "shear_twin.py"
@@ -128,14 +155,14 @@ def verify_source(repo, revision, flow="taylor_green", probes=False):
or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_TWIN_SHA256):
raise RuntimeError("Wrong shear_twin module checkout or content")
result["shear_twin_sha256"] = SHEAR_TWIN_SHA256
if flow in ("shear_nested", "shear_twin"): # the twin reuses the nested geometry
if flow in ("shear_nested", "shear_twin", "shear_wide_x", "shear_postg"):
import shear_nested
module = harness / "shear_nested.py"
if (Path(shear_nested.__file__).resolve() != module
or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_NESTED_SHA256):
raise RuntimeError("Wrong shear_nested module checkout or content")
result["shear_nested_sha256"] = SHEAR_NESTED_SHA256
if flow in ("shear_wave", "shear_nested", "shear_twin"):
if flow in ("shear_wave", "shear_nested", "shear_twin", "shear_wide_x", "shear_postg", "shear_axis_square"):
import shear_wave
module = harness / "shear_wave.py"
if (Path(shear_wave.__file__).resolve() != module
@@ -209,48 +236,76 @@ def main():
p.add_argument("--output", type=Path, required=True)
p.add_argument("--explosion", choices=["constant", "projected_linear"], default="constant")
p.add_argument("--diagnostic",
choices=[SCALED_DIAGNOSTIC, SCALED_SHEAR, NESTED_SHEAR, TWIN_SHEAR],
choices=[SCALED_DIAGNOSTIC, SCALED_SHEAR, NESTED_SHEAR, TWIN_SHEAR,
WIDE_X_SHEAR, POSTG_SHEAR, AXIS_SQUARE],
help="explicit four-case N256/fine512 same-placement diagnostic "
"(scaled_n256: Taylor-Green; scaled_shear_n256: shear wave) or the "
"fixed three-level/two-region shear preset (nested_shear_n128) "
"or its depth-2 twin (twin_shear_n128)")
"or its depth-2 twin (twin_shear_n128), or the single projected "
"x-gap-width contrast (wide_x_shear_n128), or three-case POST-G "
"initialization counterfactual (postg_shear_n128), or short square "
"orientation diagnostic (axis_square_shear_n128)")
p.add_argument("--probe-trace", action="store_true",
help="signed interface-probe trace (nested U128/U512/projected d3, "
"twin projected d2); mechanism diagnostic, no gates")
"twin projected d2, wide-x projected d3, POST-G three-case set, "
"axis-square four-case set); "
"mechanism diagnostic, no gates")
p.add_argument("--final-snapshot", action="store_true",
help="nested_shear_n128 projected depth-3 only: final macro snapshot")
p.add_argument("--early-pressure", action="store_true",
help="also save 65 scalar pressure samples at t*=k*.001875, k=0..64")
p.add_argument("--flow", choices=["taylor_green", "shear_wave"], default="taylor_green")
args = p.parse_args()
axis_square = args.diagnostic == AXIS_SQUARE
nested = args.diagnostic == NESTED_SHEAR
if args.flow == "shear_wave" and (args.re != 100 or (args.depth == 3 and not nested)
wide_x = args.diagnostic == WIDE_X_SHEAR
postg = args.diagnostic == POSTG_SHEAR
if (wide_x or postg or axis_square) and not args.probe_trace:
p.error(f"{args.diagnostic} requires --probe-trace")
if args.flow == "shear_wave" and (args.re != 100 or (args.depth == 3 and not (nested or wide_x or postg))
or args.early_pressure):
p.error("shear_wave requires --re 100, depth 1 or 2 and no --early-pressure")
probe_cases = {(NESTED_SHEAR, 128, 1, "constant"), (NESTED_SHEAR, 512, 1, "constant"),
(NESTED_SHEAR, 128, 3, "projected_linear"),
(TWIN_SHEAR, 128, 2, "projected_linear")}
(TWIN_SHEAR, 128, 2, "projected_linear"),
(WIDE_X_SHEAR, 128, 3, "projected_linear"),
(POSTG_SHEAR, 128, 1, "constant"), (POSTG_SHEAR, 512, 1, "constant"),
(POSTG_SHEAR, 128, 3, "projected_linear")}
if axis_square:
import shear_axis_square
probe_cases.update((AXIS_SQUARE, n, depth, scheme)
for _, n, depth, scheme in shear_axis_square.CASES)
if args.probe_trace and (args.final_snapshot or (
args.diagnostic, args.n, args.depth, args.explosion) not in probe_cases):
p.error("--probe-trace requires nested U128/U512/projected depth 3 or twin projected "
"depth 2, without --final-snapshot")
p.error("--probe-trace requires a fixed nested, twin, wide-x, POST-G or axis-square case, "
"without --final-snapshot")
if args.final_snapshot and not (nested and args.depth == 3
and args.explosion == "projected_linear"):
p.error("--final-snapshot requires nested_shear_n128 projected depth 3")
initial, metrics, limits, initialization = flow_functions(args.flow)
if args.output.exists():
p.error("Output already exists; choose a new path to retain prior evidence")
if args.explosion != "constant" and args.depth != 2 and not nested:
if args.explosion != "constant" and args.depth != 2 and not (nested or wide_x or postg):
p.error("projected_linear requires depth 2")
twin = args.diagnostic == TWIN_SHEAR
if nested or twin:
if axis_square:
preset = shear_axis_square
if args.flow != "shear_wave" or (args.re, args.n, args.depth, args.explosion) not in preset.CASES:
p.error("axis_square_shear_n128 requires one of its four Re100 shear cases")
initial, metrics, limits, initialization = preset.initial, preset.metrics, {}, preset.INITIALIZATION
elif nested or twin or wide_x or postg:
import shear_nested
import shear_twin
preset = shear_nested if nested else shear_twin
import shear_wide_x
preset = shear_wide_x if wide_x else shear_nested if nested else shear_twin
if postg:
import shear_postg
preset = shear_postg
initial, initialization = preset.initial, preset.INITIALIZATION
if args.flow != "shear_wave":
p.error(f"--diagnostic {args.diagnostic} requires --flow shear_wave")
if (args.re, args.n, args.depth, args.explosion) not in preset.CASES:
p.error(f"{args.diagnostic} requires one of its four Re100 cases")
p.error(f"{args.diagnostic} requires one of its fixed Re100 cases")
elif args.diagnostic:
cases = {(256, 1, "constant"), (512, 1, "constant"),
(256, 2, "constant"), (256, 2, "projected_linear")}
@@ -270,9 +325,9 @@ def main():
p.error("--run-gpu and exactly one explicit CUDA_VISIBLE_DEVICES are required")
repo = args.repo.resolve()
sys.path[:0] = [str(repo / "src"), str(repo)]
source = verify_source(repo, args.expected_revision,
"shear_nested" if nested else "shear_twin" if twin else args.flow,
probes=args.probe_trace)
source_flow = ("shear_axis_square" if axis_square else "shear_postg" if postg else "shear_wide_x" if wide_x else "shear_nested" if nested
else "shear_twin" if twin else args.flow)
source = verify_source(repo, args.expected_revision, source_flow, probes=args.probe_trace)
runtime = runtime_source(repo)
if args.dry_run:
print(json.dumps(dict(source=source, runtime_source=runtime, dry_run=True,
@@ -288,7 +343,7 @@ def main():
cfg = config(args.n, args.re)
if args.depth == 1:
refinements = []
elif nested or twin:
elif nested or twin or wide_x or postg or axis_square:
refinements = [list(level) for level in preset.REFINEMENTS]
else:
refinements = rectangles(args.n, args.depth)
@@ -296,6 +351,8 @@ def main():
np.testing.assert_array_equal(leaf_partition(h), np.ones((args.n, args.n)))
masks = [k == ACTIVE for k in h.kinds]
main_steps, early_steps = sample_steps(args.n, args.early_pressure)
if axis_square:
main_steps = [0, preset.case_steps(args.n)[-1]]
report = dict(
schema=1,
source=source,
@@ -323,7 +380,7 @@ def main():
cuda_visible_devices=selected,
device_id=0,
limits=limits,
workload=workload(masks, round(TIMES[-1] * args.n / U)),
workload=workload(masks, main_steps[-1]),
rows=[],
early_pressure=dict(enabled=args.early_pressure, rows=[],
sampled_max_pressure_l2=None),
@@ -331,11 +388,19 @@ def main():
)
if args.flow != "taylor_green":
import shear_wave
report.update(flow=args.flow, mode=list(shear_wave.MODE),
polarization=shear_wave.E.tolist(), angle_deg=shear_wave.ANGLE_DEG,
phase=shear_wave.PHI, eps=shear_wave.eps(args.n))
wave = preset if axis_square else shear_wave
report.update(flow=args.flow, mode=list(wave.MODE),
polarization=wave.E.tolist(), angle_deg=wave.ANGLE_DEG,
phase=wave.PHI, eps=wave.eps(args.n))
if args.diagnostic:
report["diagnostic"] = args.diagnostic
if postg:
report.update(initialization_id=preset.INITIALIZATION_ID, qualification_eligible=False,
screening_scope="descriptive scalar screens only; no qualification assessor")
if axis_square:
report.update(initialization_id=preset.INITIALIZATION_ID, qualification_eligible=False,
reference_harness=None, historical_baseline_revision=None,
screening_scope="no numerical gates; short orientation diagnostic")
args.output.parent.mkdir(parents=True, exist_ok=True)
def save():
temporary = args.output.with_suffix(args.output.suffix + ".tmp")
@@ -373,6 +438,8 @@ def main():
probe_steps = set()
if args.probe_trace:
import shear_probes
if axis_square:
shear_probes = preset
probe_root = dict(zip(shear_probes.case_steps(args.n), shear_probes.STEPS))
probe_steps = set(probe_root)
probes = shear_probes.select(masks, args.n)
@@ -382,9 +449,16 @@ def main():
run.step(step - run.step_count)
if step in probe_steps:
trace = report["probe_trace"]
trace["steps"].append(probe_root[step]) # root-physical step
trace["values"].append(shear_probes.sample(
(run.download(),) if args.depth == 1 else run.download(), probes))
if "error" not in trace:
arrays = (run.download(),) if args.depth == 1 else run.download()
try:
values = shear_probes.sample(arrays, probes)
shear_probes.validate_row(values, len(probes))
except (ValueError, ZeroDivisionError) as error:
report["probe_trace"] = dict(error=str(error))
else:
trace["steps"].append(probe_root[step]) # root-physical step
trace["values"].append(values)
if step not in main_steps and step not in early_steps:
continue # probe-only step: no qualification metrics
row = sample(run, masks, step, args.n, cfg.viscosity, initial_mass,
@@ -439,7 +513,7 @@ def main():
),
flush=True,
)
if args.probe_trace:
if args.probe_trace and "error" not in report["probe_trace"]:
try:
report["probe_trace"]["bytes"] = shear_probes.validate(report["probe_trace"])
except ValueError as error: # keep the scalar receipt; drop an invalid trace
@@ -447,7 +521,7 @@ def main():
report.update(
completed=True,
seconds=time.monotonic() - started,
screening_pass=all(
screening_pass=None if axis_square else all(
row[key] <= limit for row in report["rows"] for key, limit in limits.items()
),
)
@@ -458,6 +532,8 @@ def main():
),
flush=True,
)
if axis_square:
return int("error" in report["probe_trace"])
return 0 if report["screening_pass"] else 1
@@ -0,0 +1,136 @@
"""Short axis-shear orientation diagnostic; no physical acceptance gates."""
import json
import numpy as np
import shear_wave as sw
from shear_probes import sample, validate_row, TRACE_MAX_BYTES
from oracle import CX, CY, W, U, centers
ROOT_N = 128
MODE, E, PHI, ANGLE_DEG = (2, 0), np.array([0., 1.]), np.pi / 4, 0.
REFINEMENTS = [[(32, 32, 96, 96)]]
CASES = ((100, 128, 1, "constant"), (100, 256, 1, "constant"),
(100, 128, 2, "constant"), (100, 128, 2, "projected_linear"))
STEPS = tuple(range(9))
INITIALIZATION_ID = "postg_first_gradient_v1"
INITIALIZATION = "physical FP64 axis-shear POST G=feq-(tau-1)A; first-gradient low-Mach CE"
GROUPS = dict(inner_left=(32, 64), inner_right=(95, 63),
inner_bottom=(64, 32), inner_top=(63, 95),
outer_left=(31, 64), outer_right=(96, 63),
outer_bottom=(64, 31), outer_top=(63, 96))
def eps(n):
return (4 * np.pi / n)**2
def exact(x, t, length, viscosity):
"""Transverse velocity and physical x derivative in the supplied length units."""
k = 4 * np.pi / length
amplitude = U * np.exp(-viscosity * k * k * t)
return amplitude * np.sin(k * x + PHI), amplitude * k * np.cos(k * x + PHI)
def initial(shape, level, length, viscosity):
x, _ = centers(shape, level)
uy, gradient = exact(x, 0, length, viscosity)
tau = .5 + 3 * viscosity * 2**level
a = (3 * W * CX * CY)[:, None, None] * gradient * 2.**-level
return sw.equilibrium(np.ones_like(uy), np.zeros_like(uy), uy) - (tau - 1) * a
def metrics(arrays, masks, t, length, viscosity, initial_mass=None):
rho, ux, uy, x, _, w, _ = sw._leaves(arrays, masks)
if not np.isclose(w.sum(), length**2, rtol=0, atol=1e-10):
raise ValueError("leaf partition does not cover domain once")
ey, _ = exact(x, t, length, viscosity)
p = (rho - 1) / 3
p -= w @ p / w.sum() # one domain gauge, never the probe mean
mass = float(w @ rho)
return dict(tstar=t * U / length, mass=mass,
mass_relative=0. if initial_mass is None else abs(mass-initial_mass)/initial_mass,
velocity_l2=float(np.sqrt(w @ (ux**2 + (uy-ey)**2) / (w @ ey**2))),
spurious_pressure_rms=float(np.sqrt(w @ p**2 / w.sum())),
rho_min=float(rho.min()), rho_max=float(rho.max()),
max_speed=float(np.hypot(ux, uy).max()), leaf_cells=len(rho))
def case_steps(n):
return [r * (n // ROOT_N) for r in STEPS]
def select(masks, n=ROOT_N):
"""Exact native cells filling eight unit-area groups; no interpolated samples."""
if (n, len(masks)) not in ((128, 1), (256, 1), (128, 2)):
raise ValueError("unsupported square probe layout")
probes = []
for name, (x, y) in GROUPS.items():
level = int(len(masks) == 2 and name.startswith("inner"))
factor = (n // ROOT_N) * 2**level
for dy in range(factor):
for dx in range(factor):
i, j = factor*x + dx, factor*y + dy
if not masks[level][j, i]:
raise ValueError("square probe is not ACTIVE")
probes.append(dict(group=name, level=level, i=i, j=j,
center=[(i+.5)/factor, (j+.5)/factor],
width=1/factor, area=1/factor**2, parity=[i % 2, j % 2]))
if len({(p["level"], p["i"], p["j"]) for p in probes}) != len(probes):
raise ValueError("duplicate square probes")
return probes
def new_trace(probes, case_viscosity, case):
return dict(schema=1, kind="axis-square orientation diagnostic; no pass gates", case=case,
time_unit="root step (N=128)", sample_phase="postcollision G at root synchronization",
root_n=ROOT_N, viscosity_root=U*ROOT_N/100, case_viscosity=case_viscosity,
mode=list(MODE), phase=PHI, amplitude=U, fields=["rho", "ux", "uy"],
probes=probes, steps=[], values=[])
def group_moments(trace):
"""Signed unit-area means; normalize by each group's mean actual-center derivative.
Momentum is rho*u. Raw density is ungauged. Per-cell parity stays in the trace.
U128 samples one center, whereas U256/refined-inner use four different centers.
"""
out = []
for step, row in zip(trace["steps"], trace["values"]):
values, groups = np.asarray(row).reshape(-1, 3), {}
for name in GROUPS:
indices = [i for i, p in enumerate(trace["probes"]) if p["group"] == name]
probes = [trace["probes"][i] for i in indices]
weights = np.array([p["area"] for p in probes])
if weights.sum() != 1:
raise ValueError("probe group does not have unit area")
rho, ux, uy = values[indices].T
ey, gradient = exact(np.array([p["center"][0] for p in probes]), step,
ROOT_N, trace["viscosity_root"])
drho, djx, djy = (float(weights @ v) for v in (rho-1, rho*ux, rho*uy-ey))
derivative = float(weights @ gradient)
groups[name] = dict(drho=drho, djx=djx, djy=djy, mean_duy_dx=derivative,
djx_over_duy_dx=djx/derivative, djy_over_duy_dx=djy/derivative)
out.append(dict(root_step=step, groups=groups))
return out
def validate(trace):
if trace["steps"] != list(STEPS) or len(trace["values"]) != len(STEPS):
raise ValueError("square trace schedule mismatch")
_, n, depth, scheme = trace["case"]
if (100, n, depth, scheme) not in CASES or len(trace["probes"]) != (
20 if depth == 2 else 8*(n//ROOT_N)**2):
raise ValueError("square trace case/count mismatch")
for row in trace["values"]:
validate_row(row, len(trace["probes"]))
trace["group_moments"] = group_moments(trace)
size = 0
while True:
final = len(json.dumps(dict(trace, bytes=size), allow_nan=False).encode())
if final == size:
break
size = final
if size > TRACE_MAX_BYTES:
raise ValueError("square trace exceeds byte cap")
return size
@@ -0,0 +1,34 @@
"""First-gradient POST-G initialization counterfactual, not a qualification preset.
PRE F = feq - tau*A; POST G = feq - (tau - 1)*A. This low-Mach,
first-order Chapman-Enskog approximation is not an exact discrete eigenstate.
The physical viscous-stress factor tau - 1/2 is not the raw POST-G factor.
"""
import numpy as np
import shear_nested as nested
import shear_wave as sw
from oracle import CX, CY, W, U, centers
REFINEMENTS = nested.REFINEMENTS
CASES = ((100, 128, 1, "constant"), (100, 512, 1, "constant"),
(100, 128, 3, "projected_linear"))
INITIALIZATION_ID = "postg_first_gradient_v1"
INITIALIZATION = (
"physical FP64 POST G=feq-(tau-1)A at actual cell centers; "
"A=3*w*U*cos(theta)*(c.e)*(c.k_level); rho=1; first-gradient low-Mach CE"
)
def initial(shape, level, length, viscosity):
"""Return physical FP64 G; production initialize owns shifted FP32 encoding."""
x, y = centers(shape, level)
k = sw.wavevector(length)
theta = k[0] * x + k[1] * y + sw.PHI
k_level = k * 2.0**-level
tau = 0.5 + 3 * viscosity * 2**level
ce = CX * sw.E[0] + CY * sw.E[1]
ck = CX * k_level[0] + CY * k_level[1]
correction = (3 * W * ce * ck)[:, None, None] * U * np.cos(theta)
return sw.initial(shape, level, length, viscosity) - (tau - 1) * correction
+15 -4
View File
@@ -107,6 +107,12 @@ def residuals(trace):
return out
def validate_row(row, probe_count):
"""Reject an invalid optional sample before it can enter a scalar receipt."""
if len(row) != 3 * probe_count or not all(math.isfinite(v) for v in row):
raise ValueError("malformed or nonfinite trace row")
def validate(trace):
"""Exact schedule, finite values, fixed probe count and byte cap."""
import json
@@ -114,10 +120,15 @@ def validate(trace):
raise ValueError("trace steps differ from the fixed schedule")
if len(trace["probes"]) != len(NORMAL_COORDS) * len(TRANSECTS):
raise ValueError("unexpected probe count")
width = 3 * len(trace["probes"])
if any(len(r) != width or not all(math.isfinite(v) for v in r) for r in trace["values"]):
raise ValueError("malformed or nonfinite trace row")
size = len(json.dumps(trace, allow_nan=False).encode())
for row in trace["values"]:
validate_row(row, len(trace["probes"]))
# Include the final byte-count field itself, including its number of digits.
size = 0
while True:
final_size = len(json.dumps(dict(trace, bytes=size), allow_nan=False).encode())
if final_size == size:
break
size = final_size
if size > TRACE_MAX_BYTES:
raise ValueError(f"trace exceeds {TRACE_MAX_BYTES} bytes ({size})")
return size
@@ -0,0 +1,20 @@
"""One projected x-gap-width diagnostic (opt-in wide_x_shear_n128).
Keep the nested outer boxes and all three spacings. Shrink only L2 in x,
so each x-normal middle gap grows from 6 to 12 root cells; y gaps stay 6.
This also reduces L2 volume and moves its x faces. It is a descriptive
geometry contrast with no new qualification matrix, assessor or pass gate.
"""
import shear_nested as nested
ROOT_N = nested.ROOT_N
DEPTH = nested.DEPTH
REFINEMENTS = [nested.REFINEMENTS[0],
[(56, 44, 96, 212), (160, 60, 200, 228)]] # parent L1 coordinates
CASES = ((100, ROOT_N, DEPTH, "projected_linear"),)
LEAVES = [7936, 20352, 53760]
HOPS = nested.HOPS
WORK = sum(c * h for c, h in zip(LEAVES, HOPS)) # 540016640 active updates
NU = nested.NU
TAU = nested.TAU
@@ -0,0 +1,172 @@
"""Fixed square geometry, native sampling, POST phase and runner admission; CPU only."""
import hashlib
import io
import json
import sys
import tempfile
import unittest
from copy import deepcopy
from pathlib import Path
from unittest.mock import patch
from contextlib import redirect_stdout
import numpy as np
import run_case as rc
import shear_axis_square as axis
import shear_wave as sw
import test_shear_wave as legacy
from oracle import CX, CY, W, U, centers
from CelerisLab.lbm.hierarchy import build_hierarchy, leaf_partition
from CelerisLab.lbm.refinement import ACTIVE
REPO = Path(__file__).resolve().parents[3]
def masks(n, depth):
h = build_hierarchy(rc.config(n, 100), [] if depth == 1 else axis.REFINEMENTS)
np.testing.assert_array_equal(leaf_partition(h), np.ones((n, n)))
return [k == ACTIVE for k in h.kinds]
class AxisSquareTests(unittest.TestCase):
def test_geometry_native_groups_and_work(self):
work = 0
for _, n, depth, _ in axis.CASES:
m = masks(n, depth)
p = axis.select(m, n)
self.assertEqual(len(p), 20 if depth == 2 else 8*(n//128)**2)
self.assertEqual(len({(v['level'], v['i'], v['j']) for v in p}), len(p))
roots = [(32, 64), (95, 63), (64, 32), (63, 95),
(31, 64), (96, 63), (64, 31), (63, 96)]
expected = []
for group, (x, y) in enumerate(roots):
level = 1 if depth == 2 and group < 4 else 0
factor = (n//128) * 2**level
expected += [(level, factor*x+dx, factor*y+dy,
[x+(dx+.5)/factor, y+(dy+.5)/factor])
for dy in range(factor) for dx in range(factor)]
self.assertEqual([(v['level'], v['i'], v['j'], v['center']) for v in p], expected)
for name in axis.GROUPS:
group = [v for v in p if v['group'] == name]
self.assertEqual(sum(v['area'] for v in group), 1)
np.testing.assert_array_equal(np.mean([v['center'] for v in group], axis=0),
np.array(axis.GROUPS[name])+.5)
for v in group:
self.assertTrue(m[v['level']][v['j'], v['i']])
w = rc.workload(m, axis.case_steps(n)[-1])
work += w['active_collision_updates']
if depth == 2:
self.assertEqual(w['active_cells_by_level'], [12288, 16384])
self.assertEqual(w['level_hops'], [8, 16])
self.assertEqual(axis.case_steps(n), [r*(n//128) for r in range(9)])
self.assertEqual(work, 1900544)
def test_postg_moments_stress_and_matching_fine_control(self):
for level in (0, 1):
x, _ = centers((33, 41), level)
k, h, tau = 4*np.pi/128, 2.**-level, .5+3*.0384*2**level
uy = U*np.sin(k*x+np.pi/4)
eq = sw.equilibrium(np.ones_like(x), np.zeros_like(x), uy)
g = axis.initial(x.shape, level, 128, .0384)
a = 3*W[:, None, None]*CX[:, None, None]*CY[:, None, None]*h*k*U*np.cos(k*x+np.pi/4)
np.testing.assert_allclose(g, eq-(tau-1)*a, rtol=0, atol=6e-17)
for v in (np.ones(9), CX, CY):
np.testing.assert_allclose(np.einsum('q,qyx->yx', v, g-eq), 0, rtol=0, atol=2e-16)
np.testing.assert_allclose(np.einsum('q,qyx->yx', CX*CY, g-eq),
(1-tau)*h*k*U*np.cos(k*x+np.pi/4)/3, atol=6e-17)
self.assertGreater(g.min(), 0)
np.testing.assert_array_equal(axis.initial((256, 256), 0, 256, .0768),
axis.initial((256, 256), 1, 128, .0384))
def test_signed_momentum_and_actual_center_time(self):
m = masks(128, 2)
probes = axis.select(m)
trace = axis.new_trace(probes, .0384, [rc.AXIS_SQUARE, 128, 2, 'projected_linear'])
for step in axis.STEPS:
arrays = []
for level, mask in enumerate(m):
x, _ = centers(mask.shape, level)
uy, _ = axis.exact(x, step, 128, .0384)
arrays.append(sw.equilibrium(np.full_like(x, 1.001), np.zeros_like(x), uy))
trace['steps'].append(step)
trace['values'].append(axis.sample(arrays, probes))
trace['bytes'] = axis.validate(trace)
self.assertEqual(trace['bytes'], len(json.dumps(trace, allow_nan=False).encode()))
for row in trace['group_moments']:
for name, v in row['groups'].items():
self.assertAlmostEqual(v['drho'], .001, places=14)
x = np.array([p['center'][0] for p in probes if p['group'] == name])
uy, gradient = axis.exact(x, row['root_step'], 128, .0384)
self.assertAlmostEqual(v['djy'], .001*uy.mean(), places=14)
self.assertAlmostEqual(v['mean_duy_dx'], gradient.mean(), places=14)
self.assertAlmostEqual(row['groups']['inner_left']['mean_duy_dx'],
-row['groups']['inner_bottom']['mean_duy_dx'], places=14)
with patch.object(axis, 'TRACE_MAX_BYTES', trace['bytes']-1), self.assertRaises(ValueError):
axis.validate(trace)
for mutate in (lambda t: t['steps'].pop(),
lambda t: t['steps'].__setitem__(1, 0),
lambda t: t['values'][1].__setitem__(0, float('nan')),
lambda t: t['probes'].pop()):
bad = deepcopy(trace); mutate(bad)
with self.assertRaises(ValueError): axis.validate(bad)
def test_four_full_mock_schedules_and_old_rejection(self):
helper = legacy.ProbeTraceTests()
helper.setUp()
def arrays(m, n, t):
return [axis.initial(v.shape, level, n, U*n/100) for level, v in enumerate(m)]
for _, n, depth, scheme in axis.CASES:
with patch.object(helper, 'exact_arrays', side_effect=arrays):
r, counts, files = helper.run_mocked(n, depth, rc.AXIS_SQUARE, scheme,
masks(n, depth), initializer=axis.initial)
self.assertEqual(counts[-1], 8*(n//128))
self.assertEqual([v['step'] for v in r['rows']], [0, 8*(n//128)])
self.assertEqual(r['probe_trace']['steps'], list(range(9)))
self.assertEqual(r['probe_trace']['probes'], axis.select(masks(n, depth), n))
self.assertEqual(r['mode'], [2, 0])
self.assertEqual(r['phase'], np.pi/4)
self.assertEqual(r['initialization'], axis.INITIALIZATION)
self.assertEqual(r['limits'], {})
self.assertIsNone(r['screening_pass'])
self.assertFalse(r['qualification_eligible'])
self.assertEqual(files, ['probe.json'])
old = legacy.NestedPresetTests(); old.setUp()
records = old.nested_set(); records[-1]['diagnostic'] = rc.AXIS_SQUARE
self.assertEqual(old.mod.assess_nested(records, 'r')['status'], 'INVALID_SET')
records = [legacy.receipt(128, 1), legacy.receipt(256, 1), legacy.receipt(128, 2),
legacy.receipt(128, 2, 'projected_linear')]
records[-1].update(diagnostic=rc.AXIS_SQUARE, initialization=axis.INITIALIZATION)
self.assertEqual(old.mod.assess(records, 'r')['status'], 'INVALID_SET')
self.assertNotIn(rc.AXIS_SQUARE, old.mod.PRESETS)
with patch.object(axis, 'sample', return_value=[float('nan')]*24):
r, _, _ = helper.run_mocked(128, 1, rc.AXIS_SQUARE, 'constant', masks(128, 1),
initializer=axis.initial)
self.assertIn('error', r['probe_trace'])
self.assertTrue(r['completed'])
self.assertEqual(len(r['rows']), 2)
def test_admission_and_module_pin(self):
from tests.validation.multigrid import check_projected_pairs as gate
self.assertEqual(hashlib.sha256(Path(axis.__file__).read_bytes()).hexdigest(), rc.SHEAR_AXIS_SQUARE_SHA256)
with tempfile.TemporaryDirectory() as tmp:
base = ['run_case.py', '--repo', str(REPO), '--expected-revision', 'f'*40,
'--output', str(Path(tmp)/'case.json'), '--dry-run', '--re', '100',
'--flow', 'shear_wave', '--diagnostic', rc.AXIS_SQUARE, '--probe-trace']
for n, depth, scheme, valid in [(n, d, s, True) for _, n, d, s in axis.CASES] + [
(512, 1, 'constant', False), (256, 2, 'projected_linear', False), (128, 3, 'constant', False)]:
for extra in ([], ['--final-snapshot'], ['--early-pressure'], ['--flow', 'taylor_green'], ['--re', '1000']):
argv = base + ['--n', str(n), '--depth', str(depth), '--explosion', scheme] + extra
with patch.object(sys, 'argv', argv), redirect_stdout(io.StringIO()), patch('sys.stderr', io.StringIO()), \
patch.object(rc, 'verify_source', return_value={}) as verify, patch.object(rc, 'runtime_source', return_value={}):
if valid and not extra:
self.assertEqual(rc.main(), 0)
verify.assert_called_once_with(REPO, 'f'*40, 'shear_axis_square', probes=True)
else:
with self.assertRaises(SystemExit): rc.main()
verify.assert_not_called()
with patch.object(gate, 'preflight', return_value=rc.NUMERICAL_REVISION), \
patch.object(rc, 'provenance', return_value=dict(source_tree_sha256=rc.SOURCE_SHA256)):
rc.verify_source(REPO, 'r', 'shear_axis_square', probes=True)
for module, key, value in ((axis, '__file__', '/wrong/helper.py'), (rc, 'SHEAR_AXIS_SQUARE_SHA256', 'wrong')):
with patch.object(module, key, value), self.assertRaisesRegex(RuntimeError, 'shear_axis_square'):
rc.verify_source(REPO, 'r', 'shear_axis_square', probes=True)
@@ -429,7 +429,7 @@ class ProjectedPairsTests(unittest.TestCase):
patch.object(run_case, "runtime_identity", side_effect=AssertionError("CUDA reached")), \
redirect_stdout(stdout):
self.assertEqual(run_case.main(), 0)
verify.assert_called_once_with(REPO, MOCK_REVISION, "taylor_green")
verify.assert_called_once_with(REPO, MOCK_REVISION, "taylor_green", probes=False)
self.assertTrue(json.loads(stdout.getvalue())["dry_run"])
self.assertFalse(output.exists())
@@ -531,7 +531,7 @@ class ProjectedPairsTests(unittest.TestCase):
else:
self.assertEqual(run_case.main(), 0)
receipt = json.loads(output.read_text())
verify.assert_called_once_with(REPO, MOCK_REVISION, "taylor_green")
verify.assert_called_once_with(REPO, MOCK_REVISION, "taylor_green", probes=False)
self.assertEqual(selectors, [scheme] if depth == 2 else [])
self.assertEqual(receipt["source"], source())
self.assertEqual(receipt["runtime_identity"], RUNTIME)
@@ -1012,6 +1012,14 @@ class ProbeTraceTests(unittest.TestCase):
trace["values"] = [[1.0, 0.01, -0.02] * 24 for _ in sp.STEPS]
size = sp.validate(trace)
self.assertLess(size, sp.TRACE_MAX_BYTES)
final_trace = dict(trace, bytes=size)
self.assertEqual(size, len(json.dumps(final_trace, allow_nan=False).encode()))
self.assertEqual(sp.validate(final_trace), size)
with patch.object(sp, "TRACE_MAX_BYTES", size):
self.assertEqual(sp.validate(trace), size)
with patch.object(sp, "TRACE_MAX_BYTES", size - 1):
with self.assertRaises(ValueError):
sp.validate(trace)
realistic = dict(trace, values=[[1.0000012345678901, 0.012345678901234567,
-0.023456789012345678] * 24 for _ in sp.STEPS])
self.assertLess(sp.validate(realistic), sp.TRACE_MAX_BYTES)
@@ -1054,15 +1062,17 @@ class ProbeTraceTests(unittest.TestCase):
with self.assertRaises(SystemExit):
run_case.main()
def run_mocked(self, n, depth, diagnostic, scheme, masks):
def run_mocked(self, n, depth, diagnostic, scheme, masks, initializer=sw.initial):
from types import SimpleNamespace
from contextlib import nullcontext
arrays = self.exact_arrays(masks, n, 0.0)
counts = []
counts, selectors = [], []
class FakeRun:
def __init__(self, *args, **kwargs):
self.step_count = 0
if "refinements" in kwargs:
selectors.append((kwargs["explosion"], kwargs["refinements"]))
def __enter__(self):
return self
@@ -1071,7 +1081,9 @@ class ProbeTraceTests(unittest.TestCase):
pass
def initialize(self, *given):
pass
assert len(given) == depth
for level, (values, mask) in enumerate(zip(given, masks)):
np.testing.assert_array_equal(values, initializer(mask.shape, level, n, U * n / sw.RE))
def step(self, count):
self.step_count += count
@@ -1098,7 +1110,11 @@ class ProbeTraceTests(unittest.TestCase):
patch.object(run_case, "build_capture", return_value=nullcontext()), \
redirect_stdout(io.StringIO()):
run_case.main()
return json.loads(output.read_text()), counts, sorted(p.name for p in Path(tmp).iterdir())
rec = json.loads(output.read_text())
expected = ([(scheme, [[tuple(r) for r in level] for level in rec["refinements"]])]
if depth > 1 else [])
self.assertEqual(selectors, expected)
return rec, counts, sorted(p.name for p in Path(tmp).iterdir())
def test_mocked_probe_traces(self):
sp = self.probes
@@ -1108,6 +1124,7 @@ class ProbeTraceTests(unittest.TestCase):
self.assertEqual(trace["steps"], list(sp.STEPS))
self.assertEqual(len(trace["values"]), len(sp.STEPS))
self.assertLessEqual(trace["bytes"], sp.TRACE_MAX_BYTES)
self.assertEqual(trace["bytes"], len(json.dumps(trace, allow_nan=False).encode()))
self.assertEqual(trace["case"], [run_case.NESTED_SHEAR, 128, 3, "projected_linear"])
self.assertEqual(len(rec["rows"]), 5) # qualification samples preserved
self.assertEqual(files, ["probe.json"]) # no field dumps
@@ -1122,3 +1139,278 @@ class ProbeTraceTests(unittest.TestCase):
self.assertTrue(all(p["level"] == 0 for p in t512["probes"]))
res = sp.residuals(t512)
self.assertLess(abs(res[0][0][1]), 1e-14) # exact field at t=0 at actual centers
def test_invalid_optional_trace_preserves_scalar_rows(self):
sp = self.probes
case = (128, 1, run_case.NESTED_SHEAR, "constant", [np.ones((128, 128), bool)])
baseline, _, _ = self.run_mocked(*case)
original = sp.sample
for bad in ([float("nan")] * 72, [float("inf")] * 72, [1.0],
ZeroDivisionError("zero probe density")):
calls = []
def sample(arrays, probes):
calls.append(True)
if len(calls) == 2: # probe-only step 1, before the next scalar save
if isinstance(bad, Exception):
raise bad
return bad
return original(arrays, probes)
with self.subTest(bad=repr(bad)), patch.object(sp, "sample", side_effect=sample):
rec, counts, files = self.run_mocked(*case)
self.assertTrue(rec["completed"])
self.assertEqual(rec["rows"], baseline["rows"])
self.assertEqual(set(rec["probe_trace"]), {"error"})
self.assertEqual(len(calls), 2) # no further probe sampling after rejection
self.assertEqual(counts[-1], 2048)
self.assertEqual(files, ["probe.json"])
with patch.object(sp, "TRACE_MAX_BYTES", 100):
rec, _, _ = self.run_mocked(*case)
self.assertTrue(rec["completed"])
self.assertEqual(rec["rows"], baseline["rows"])
self.assertIn("exceeds", rec["probe_trace"]["error"])
class WideXDiagnosticTests(unittest.TestCase):
"""One width contrast; historical qualification matrices remain unchanged."""
def setUp(self):
import shear_nested
import shear_probes
import shear_wide_x
from CelerisLab.lbm.hierarchy import build_hierarchy
self.wide, self.nested, self.probes = shear_wide_x, shear_nested, shear_probes
self.h = build_hierarchy(run_case.config(128, 100), self.wide.REFINEMENTS)
def test_geometry_counts_and_legal_pair_tables(self):
from CelerisLab.lbm.blocks import BlockLayout2D
from CelerisLab.lbm.hierarchy import build_hierarchy, leaf_partition
from CelerisLab.lbm.refinement import ACTIVE
from CelerisLab.lbm.refinement_tables import projected_explosion_tables
wide, h = self.wide, self.h
self.assertEqual(wide.REFINEMENTS[0], self.nested.REFINEMENTS[0])
self.assertEqual(wide.REFINEMENTS[1], [(56, 44, 96, 212), (160, 60, 200, 228)])
for outer, inner in zip(wide.REFINEMENTS[0], wide.REFINEMENTS[1]):
x0, y0, x1, y1 = (v / 2 for v in inner)
self.assertEqual((x0 - outer[0], outer[2] - x1), (12, 12))
self.assertEqual((y0 - outer[1], outer[3] - y1), (6, 6))
# Independent physical rectangle masks at each native spacing.
masks = []
for level, kind in enumerate(h.kinds):
x, y = centers(kind.shape, level)
outer = ((x >= 16) & (x < 60) & (y >= 16) & (y < 112)
| (x >= 68) & (x < 112) & (y >= 24) & (y < 120))
inner = ((x >= 28) & (x < 48) & (y >= 22) & (y < 106)
| (x >= 80) & (x < 100) & (y >= 30) & (y < 114))
masks.append(~outer if level == 0 else outer & ~inner if level == 1 else inner)
np.testing.assert_array_equal(kind == ACTIVE, masks[-1])
self.assertEqual([int(m.sum()) for m in masks], [7936, 20352, 53760])
np.testing.assert_array_equal(leaf_partition(h), np.ones((128, 128)))
self.assertEqual(run_case.workload(masks, 2048)["active_collision_updates"], 540016640)
self.assertEqual(wide.LEAVES, [7936, 20352, 53760])
self.assertEqual(wide.HOPS, [2048, 4096, 8192])
self.assertEqual(wide.WORK, 540016640)
np.testing.assert_allclose([c.viscosity for c in h.configs], wide.NU, rtol=0, atol=0)
np.testing.assert_allclose([1 / c.omega for c in h.configs], wide.TAU, rtol=1e-15)
old = build_hierarchy(run_case.config(128, 100), self.nested.REFINEMENTS)
for name in ("ghost_coarse", "ghost_fine", "coalesce_coarse", "coalesce_fine"):
np.testing.assert_array_equal(getattr(h.pairs[0], name), getattr(old.pairs[0], name))
root = BlockLayout2D.build(128, 128, 8, 8, periodic=(True, True))
for level, pair in enumerate(h.pairs):
layout = root if level == 0 else h.pairs[level - 1].fine_layout((8, 8))
neighbors, offsets = projected_explosion_tables(pair, layout, h.kinds[level])
legal = np.unique(pair.ghost_coarse)
legal = legal[(h.kinds[level].ravel()[legal] == ACTIVE) & ~pair.covered.ravel()[legal]]
self.assertTrue(np.isin(neighbors, layout.owner.ravel()[legal]).all())
self.assertEqual(neighbors.shape, (len(pair.ghost_fine), 4))
self.assertEqual(len(np.unique(pair.ghost_fine)), len(pair.ghost_fine))
self.assertTrue((np.abs(offsets) == .25).all())
if level == 0:
expected = projected_explosion_tables(old.pairs[0], root, old.kinds[0])
for a, b in zip((neighbors, offsets), expected):
np.testing.assert_array_equal(a, b)
def test_fixed_probes_and_complete_runner_schedule(self):
from CelerisLab.lbm.refinement import ACTIVE
masks = [k == ACTIVE for k in self.h.kinds]
probes = self.probes.select(masks)
old = self.probes.select(self.nested.leaf_masks())
self.assertEqual([p["level"] for p in probes[:12]], [0] * 3 + [1] * 9)
self.assertLess(max(p["center"][0] for p in probes[:12]), 28)
self.assertEqual(probes[:8], old[:8]) # identical-center old L0/L1 probes
self.assertEqual(probes[12:], old[12:]) # unchanged y-normal transect
helper = ProbeTraceTests()
helper.setUp()
rec, counts, files = helper.run_mocked(128, 3, run_case.WIDE_X_SHEAR,
"projected_linear", masks)
self.assertTrue(rec["completed"])
self.assertEqual(rec["refinements"], [[list(r) for r in level] for level in self.wide.REFINEMENTS])
self.assertEqual(rec["workload"]["active_cells_by_level"], self.wide.LEAVES)
self.assertEqual(rec["workload"]["active_collision_updates"], self.wide.WORK)
self.assertEqual([r["step"] for r in rec["rows"]], [0, 512, 1024, 1536, 2048])
self.assertEqual(rec["probe_trace"]["steps"], list(self.probes.STEPS))
self.assertEqual(rec["probe_trace"]["probes"], probes)
self.assertEqual(counts[-1], 2048)
self.assertEqual(files, ["probe.json"])
self.assertNotIn("final_snapshot", rec)
def test_one_case_admission_and_pin(self):
self.assertEqual(run_case.SHEAR_WIDE_X_SHA256,
hashlib.sha256((HERE / "shear_wide_x.py").read_bytes()).hexdigest())
repo = HERE.parents[2]
with tempfile.TemporaryDirectory() as tmp:
base = ["run_case.py", "--repo", str(repo), "--expected-revision", "f" * 40,
"--output", str(Path(tmp) / "case.json"), "--dry-run", "--re", "100",
"--flow", "shear_wave", "--diagnostic", run_case.WIDE_X_SHEAR,
"--n", "128", "--depth", "3", "--explosion", "projected_linear", "--probe-trace"]
for extra in ([], ["--n", "512"], ["--depth", "2"], ["--explosion", "constant"],
["--re", "1000"], ["--flow", "taylor_green"], ["--final-snapshot"],
["--early-pressure"]):
with self.subTest(extra=extra), patch.object(sys, "argv", base + extra), \
patch.object(run_case, "verify_source", return_value={}) as verify, \
patch.object(run_case, "runtime_source", return_value={}), \
redirect_stdout(io.StringIO()), patch("sys.stderr", io.StringIO()):
if not extra:
self.assertEqual(run_case.main(), 0)
verify.assert_called_once_with(repo, "f" * 40, "shear_wide_x", probes=True)
else:
with self.assertRaises(SystemExit):
run_case.main()
verify.assert_not_called()
with patch.object(sys, "argv", base[:-1]), patch("sys.stderr", io.StringIO()):
with self.assertRaises(SystemExit):
run_case.main()
def test_historical_matrix_rejects_width_case(self):
helper = NestedPresetTests()
helper.setUp()
records = helper.nested_set()
self.assertTrue(helper.mod.assess_nested(records, "r")["passed"])
records[-1].update(diagnostic=run_case.WIDE_X_SHEAR,
refinements=self.wide.REFINEMENTS)
self.assertEqual(helper.mod.assess_nested(records, "r")["status"], "INVALID_SET")
self.assertNotIn(run_case.WIDE_X_SHEAR, helper.mod.PRESETS)
class PostGDiagnosticTests(unittest.TestCase):
"""Three initialization-only cases, excluded from historical qualification."""
def setUp(self):
import shear_postg
self.postg = shear_postg
def test_moments_phase_and_physical_scaling(self):
from CelerisLab.lbm.population_storage import _encode_physical, _decode_stored
velocities = np.array([CX, CY], dtype=float).T
for level in range(3):
shape, nu = (31, 47), .0384
h, tau = 2.0**-level, .5 + 3 * nu * 2**level
eq = sw.initial(shape, level, 128, nu)
g = self.postg.initial(shape, level, 128, nu)
x, y = centers(shape, level)
k = sw.wavevector(128)
strain = (.5 * U * np.cos(k[0] * x + k[1] * y + sw.PHI)[None, None]
* (np.outer(sw.E, h * k) + np.outer(h * k, sw.E))[:, :, None, None])
tensor = np.einsum("qi,qj->qij", velocities, velocities) - np.eye(2)[None] / 3
a = 3 * oracle.W[:, None, None] * np.einsum("qij,ijyx->qyx", tensor, strain)
np.testing.assert_allclose(g, eq - (tau - 1) * a, rtol=0, atol=6e-17)
for weights in (np.ones(9), CX, CY):
np.testing.assert_allclose(np.einsum("q,qyx->yx", weights, g - eq),
0, rtol=0, atol=2e-16)
stress = np.einsum("qi,qj,qyx->ijyx", velocities, velocities, g - eq)
np.testing.assert_allclose(stress, (1 - tau) * 2 / 3 * strain, rtol=0, atol=6e-17)
pre = eq - tau * a
rho = pre.sum(axis=0)
pre_eq = sw.equilibrium(rho, np.einsum("q,qyx->yx", CX, pre) / rho,
np.einsum("q,qyx->yx", CY, pre) / rho)
np.testing.assert_allclose((1 - 1 / tau) * pre + pre_eq / tau, g, rtol=0, atol=4e-16)
self.assertAlmostEqual((tau - .5) * h, .1152, places=16)
self.assertGreater(1 - tau, 0)
encoded = _decode_stored(_encode_physical(g, True), True)
self.assertGreater(encoded.min(), 0)
for weights in (np.ones(9), CX, CY):
np.testing.assert_allclose(np.einsum("q,qyx->yx", weights, encoded - eq),
0, rtol=0, atol=3e-9)
# The U512 control is the same physical spacing/tau/phase as nested L2.
np.testing.assert_array_equal(self.postg.initial((512, 512), 0, 512, .1536),
self.postg.initial((512, 512), 2, 128, .0384))
def test_actual_initializers_and_three_complete_schedules(self):
helper = ProbeTraceTests()
helper.setUp()
work = 0
for _, n, depth, scheme in self.postg.CASES:
masks = helper.nested.leaf_masks() if depth == 3 else [np.ones((n, n), bool)]
rec, counts, files = helper.run_mocked(n, depth, run_case.POSTG_SHEAR, scheme, masks,
initializer=self.postg.initial)
self.assertEqual(rec["initialization"], self.postg.INITIALIZATION)
self.assertEqual(rec["initialization_id"], "postg_first_gradient_v1")
self.assertFalse(rec["qualification_eligible"])
self.assertTrue(rec["completed"])
self.assertEqual(rec["limits"], sw.LIMITS)
self.assertEqual([r["step"] for r in rec["rows"]], run_case.sample_steps(n)[0])
self.assertEqual(rec["probe_trace"]["steps"], list(helper.probes.STEPS))
self.assertEqual(rec["probe_trace"]["probes"], helper.probes.select(masks, n))
self.assertEqual(counts[-1], 16 * n)
self.assertIn(1920 * (n // 128), counts)
self.assertEqual(files, ["probe.json"])
self.assertNotIn("final_snapshot", rec)
work += rec["workload"]["active_collision_updates"]
self.assertEqual(work, 2952265728)
def test_fixed_admission_and_source_pin(self):
from tests.validation.multigrid import check_projected_pairs as gate
repo = HERE.parents[2]
self.assertEqual(run_case.SHEAR_POSTG_SHA256,
hashlib.sha256((HERE / "shear_postg.py").read_bytes()).hexdigest())
with tempfile.TemporaryDirectory() as tmp:
base = ["run_case.py", "--repo", str(repo), "--expected-revision", "f" * 40,
"--output", str(Path(tmp) / "case.json"), "--dry-run", "--re", "100",
"--flow", "shear_wave", "--diagnostic", run_case.POSTG_SHEAR, "--probe-trace"]
for n, depth, scheme, valid in ((128, 1, "constant", True), (512, 1, "constant", True),
(128, 3, "projected_linear", True),
(128, 3, "constant", False), (256, 1, "constant", False),
(128, 2, "projected_linear", False)):
argv = base + ["--n", str(n), "--depth", str(depth), "--explosion", scheme]
extras = ([], ["--final-snapshot"], ["--early-pressure"], ["--re", "1000"],
["--flow", "taylor_green"]) if valid else ([],)
for extra in extras:
with self.subTest(argv=argv + extra), patch.object(sys, "argv", argv + extra), \
patch.object(run_case, "verify_source", return_value={}) as verify, \
patch.object(run_case, "runtime_source", return_value={}), \
redirect_stdout(io.StringIO()), patch("sys.stderr", io.StringIO()):
if valid and not extra:
self.assertEqual(run_case.main(), 0)
verify.assert_called_once_with(repo, "f" * 40, "shear_postg", probes=True)
else:
with self.assertRaises(SystemExit):
run_case.main()
verify.assert_not_called()
with patch.object(sys, "argv", base[:-1] + ["--n", "128", "--depth", "1"]), \
patch("sys.stderr", io.StringIO()):
with self.assertRaises(SystemExit):
run_case.main()
with patch.object(gate, "preflight", return_value=run_case.NUMERICAL_REVISION), \
patch.object(run_case, "provenance", return_value=dict(source_tree_sha256=run_case.SOURCE_SHA256)):
self.assertEqual(run_case.verify_source(repo, "r", "shear_postg")["shear_postg_sha256"],
run_case.SHEAR_POSTG_SHA256)
for module, attr, value in ((self.postg, "__file__", "/wrong/shear_postg.py"),
(run_case, "SHEAR_POSTG_SHA256", "wrong")):
with patch.object(module, attr, value), self.assertRaisesRegex(RuntimeError, "shear_postg"):
run_case.verify_source(repo, "r", "shear_postg")
def test_old_assessors_reject_identity_or_initializer(self):
from copy import deepcopy
helper = NestedPresetTests()
helper.setUp()
for base, assessor in ((helper.nested_set(), helper.mod.assess_nested),
([receipt(128, 1), receipt(256, 1), receipt(128, 2),
receipt(128, 2, "projected_linear")], helper.mod.assess)):
self.assertTrue(assessor(base, "r")["passed"])
for change in (dict(diagnostic=run_case.POSTG_SHEAR),
dict(initialization=self.postg.INITIALIZATION)):
records = deepcopy(base)
records[-1].update(change)
self.assertEqual(assessor(records, "r")["status"], "INVALID_SET")
self.assertNotIn(run_case.POSTG_SHEAR, helper.mod.PRESETS)