test: admit full uniform full9 DFG qualification from pinned pilot
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# Uniform full-nine DFG qualification
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This is a separate full-run entrypoint. The pilot wrapper, pilot manifest, shared observer, reference data, gates and all production files remain byte-identical to c0be841. Numerical source remains 926ca27407c26ca11283282a6e53249925725376; actual execution HEAD is recorded separately. A new full manifest pins the added wrapper and the original pilot manifest.
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## Admission and case
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Require the completed exact c0be841 uniform SRT/full9 cylinder pilot directory, including result.json, preflight.json and uniform/ready.json. Admission checks finite complete pilot history, collision/inlet/case/observation/source identity, physical configuration, body, parameters, frozen gates, READY, clean checkout and positive timings. Bodyless, MRT, refined, stale-source or malformed receipts cannot admit this run.
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Restart from the unchanged original production initialization, not a pilot continuation. Keep D80, lattice mean U=.01, viscosity=.008, tau=.524, shifted FP32 double buffer, cylinder/walls/domain, no LES/force, and pressure-NEQ outlet all-nine damping .5. Only the already tested experimental inlet differs from the historical baseline.
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Maximum 2,400,000 steps to t*=300. Reuse the existing observer: t*=.5 intervals before240, then .02 through300. All force batches are included; force time is the interval midpoint, pressure time its endpoint. Early calibration remains accounted in the physical trajectory. Sparse health checks identify first observed failure, not exact onset. Timeout retains progress.
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Success requires the full physical cap, healthy completion, frozen periodic convergence AND official-reference agreement. Healthy completion alone or periodicity alone returns failure. The project tolerances remain unchanged; the reference data are official DFG data. This does not qualify a canonical do-nothing outlet, grid convergence, AMR, MRT, LES or other precision paths.
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## Cost and bounds
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Measured pilot startup: 3.3353 s. Step plus force: 3.6794 s for 40,000 steps. Linear step-work extrapolation is 220.764 s, before additional late-time dense observations and altered batch subdivision. The full observer has 3,480 intervals (480 sparse and 3,000 dense), compared with 10 pilot intervals. Prior same-size MRT full runs took 354–373 s total. Expect several minutes, with timing reported rather than promised.
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Internal cap: 720 s maximum. Outer watchdog: 900 s, then 30 s termination grace. The wrapper rejects a larger internal cap. Expiry preserves an incomplete result and does not qualify accuracy. No GPU execution is performed during preparation.
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## Commands
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CPU tests:
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```
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python tests/validation/experimental_full9/test_dfg_full.py
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python tests/validation/experimental_full9/test_dfg.py
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python tests/validation/experimental_full9/test_full9.py
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```
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Preflight against the actual retained pilot directory:
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```
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python tests/validation/experimental_full9/run_dfg_full.py --pilot-results <actual-c0be841-pilot-directory> --output <new-preflight-directory>
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```
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After independent review and explicit full-run admission:
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```
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CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 900s python tests/validation/experimental_full9/run_dfg_full.py --pilot-results <actual-c0be841-pilot-directory> --execute --gpu-admitted --wall-seconds 720 --output output/new-full9-dfg-full
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```
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The four admission tests use clearly labeled synthetic receipts. They are host regression fixtures, not measured pilot evidence. Runtime admission uses the actual retained pilot receipts.
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|
||||
"src/CelerisLab/lbm/refinement_stepper.py": "f2bb34fa90805ad21c3e7cf9f9a67d88d3ae3e249b4517d3898567b4bf9e364d",
|
||||
"src/CelerisLab/lbm/refinement_tables.py": "fdd344024b89df3a83174dc810ca5e32db5e19eb8b1609f8f73b0821f56546b6",
|
||||
"src/CelerisLab/lbm/stepper.py": "0dcb7cd7ae87e33e3dc67a38b6aa43042fbe673e37d9ad165342ee1d695933ce",
|
||||
"src/CelerisLab/lbm/synchronized_remap.py": "7400fc4beaffd4649d6a9c524d38ce5fd6fa7eeb32eb5332e4030a4b6648f197",
|
||||
"src/CelerisLab/simulation.py": "0a03904dc6de88667d7af699005a289adf8b09f0976cb0d099b041f4830a8f4c",
|
||||
"tests/validation/data/refined_dfg/source_manifest.json": "e495948b10f8112c77ca67255122b5e8bc9e32570e8c899802afcb85e608fef4",
|
||||
"tests/validation/periodic.py": "a2212c0e2705126327a5019e9cafe64eeca398da1b75061ff23630c9843697a6",
|
||||
"tests/validation/re100_helpers.py": "289c6e01075ff361573f862b90cfd61e5980c9a8efcbc78aef69979b4004fd60",
|
||||
"tests/validation/run_refined_dfg.py": "992169a38ab16ab20a9b9bb4a29853cafe1d6bc07adba0df435a104be1de7b68",
|
||||
"tests/validation/source_provenance.py": "6dfe8f2d819dba0e240ba761d31162a5033685d492d09db75eb2b8aaab3a5a4c"
|
||||
},
|
||||
"runtime_sha256": {
|
||||
"tests/validation/experimental_full9/run_dfg.py": "400f6ff373623e5312c8dfae3cb8dc0172360e40feb2a9780443ec7f7ded6eea",
|
||||
"tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py": "56b9ef786001c7760abab8d870f6437d719b427c21964f00067188f5fb27caad",
|
||||
"tests/validation/source_provenance.py": "6dfe8f2d819dba0e240ba761d31162a5033685d492d09db75eb2b8aaab3a5a4c",
|
||||
"tests/validation/data/dfg_re100/reference_cycle.json": "073d1bda1629697efebad95667bfe80598e217d708dbffd7d5f6c6999379c55f",
|
||||
"tests/validation/experimental_full9/run_dfg_full.py": "b82f3fcab73f20ce86394a4de80022022434215b3e07fa9aaf5cbd8118413ef1",
|
||||
"tests/validation/experimental_full9/dfg_source_manifest.json": "f5b7ebfc136555f5cdfebd95b886bd8263491f27b8abd723bbe76c9b1aeba476"
|
||||
},
|
||||
"experiment": "uniform_full9_dfg_full_qualification"
|
||||
}
|
||||
@@ -0,0 +1,115 @@
|
||||
"""Separately admitted full uniform DFG qualification after the pinned sparse pilot."""
|
||||
import argparse
|
||||
import hashlib
|
||||
import json
|
||||
import math
|
||||
import os
|
||||
from pathlib import Path
|
||||
import sys
|
||||
import time
|
||||
|
||||
HERE = Path(__file__).resolve().parent
|
||||
sys.path.insert(0, str(HERE))
|
||||
import run_dfg as pilot
|
||||
|
||||
OBSERVATION = 'uniform_standard_full_v1'
|
||||
|
||||
|
||||
def configuration(source):
|
||||
cfg, body, parameters, pilot_manifest = pilot.configuration(source)
|
||||
_, _, _, full_manifest = pilot.diagnostic.source_config(source, HERE / 'dfg_full_source_manifest.json')
|
||||
return cfg, body, parameters, pilot_manifest, full_manifest
|
||||
|
||||
|
||||
def admit_pilot(path, cfg, body, parameters, manifest):
|
||||
import run_refined_dfg as runner
|
||||
expected = pilot.identity(manifest)
|
||||
result = runner.read_finite_json(path / 'result.json')
|
||||
preflight = runner.read_finite_json(path / 'preflight.json')
|
||||
ready = runner.read_finite_json(path / 'uniform/ready.json')
|
||||
pilot.verify_pilot(result, expected)
|
||||
for name, document in [('preflight', preflight), ('ready', ready)]:
|
||||
if any(document.get(k) != v for k, v in expected.items()):
|
||||
raise ValueError('Pilot ' + name + ' identity mismatch')
|
||||
if (preflight.get('config') != cfg or preflight.get('body') != body
|
||||
or preflight.get('parameters') != parameters or preflight.get('source') != manifest
|
||||
or preflight.get('max_steps') != 40000 or preflight.get('cap_tstar') != 5.
|
||||
or preflight.get('observation_width_tstar') != .5
|
||||
or preflight.get('gates') != runner.helpers(pilot.ROOT)[1].GATES
|
||||
or preflight.get('reference_gates') != runner.helpers(pilot.ROOT)[1].REFERENCE_GATES):
|
||||
raise ValueError('Pilot physical plan or gates mismatch')
|
||||
if (ready.get('case') != 'uniform' or ready.get('mode') != 'pilot'
|
||||
or ready.get('step') != 4000 or ready.get('tstar') != .5
|
||||
or ready.get('runner_sha256') != runner.runner_hash()
|
||||
or ready.get('all_runtime_and_observation_paths_exercised') is not True
|
||||
or ready.get('calibration_batches_seconds') != result.get('calibration_batches_seconds')):
|
||||
raise ValueError('Pilot READY mismatch')
|
||||
checkout = result.get('checkout')
|
||||
if (checkout != preflight.get('checkout') or checkout != ready.get('checkout')
|
||||
or not isinstance(checkout, dict) or checkout.get('checkout_dirty') is not False
|
||||
or checkout.get('checkout_revision') != 'c0be841b2e6e1ccba3b8343cecd3cee2fe0ed14f'):
|
||||
raise ValueError('Pilot checkout provenance mismatch')
|
||||
for key in ['startup_seconds', 'step_seconds', 'wall_seconds']:
|
||||
value = result.get(key)
|
||||
if isinstance(value, bool) or not isinstance(value, (float, int)) or value <= 0:
|
||||
raise ValueError('Invalid pilot timing')
|
||||
return dict(result_sha256=hashlib.sha256((path/'result.json').read_bytes()).hexdigest(),
|
||||
checkout=checkout, startup_seconds=result['startup_seconds'],
|
||||
step_seconds=result['step_seconds'], wall_seconds=result['wall_seconds'],
|
||||
step_force_scaled_seconds=60 * result['step_seconds'])
|
||||
|
||||
|
||||
def qualified(result):
|
||||
return (result.get('mode') == 'full' and result.get('case') == 'uniform'
|
||||
and result.get('steps') == 2400000 and result.get('executed_steps') == 2400000
|
||||
and pilot.accuracy_pass(result))
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description=__doc__)
|
||||
parser.add_argument('--source', type=Path, default=pilot.ROOT)
|
||||
parser.add_argument('--output', type=Path, required=True)
|
||||
parser.add_argument('--pilot-results', type=Path, required=True)
|
||||
parser.add_argument('--execute', action='store_true')
|
||||
parser.add_argument('--gpu-admitted', action='store_true')
|
||||
parser.add_argument('--wall-seconds', type=float, default=720.)
|
||||
a = parser.parse_args(); a.source = a.source.resolve()
|
||||
cfg, body, parameters, pilot_manifest, full_manifest = configuration(a.source)
|
||||
import run_refined_dfg as runner
|
||||
from source_provenance import checkout_provenance
|
||||
h, periodic = runner.helpers(a.source)
|
||||
admission = admit_pilot(a.pilot_results, cfg, body, parameters, pilot_manifest)
|
||||
if not math.isfinite(a.wall_seconds) or not 0 < a.wall_seconds <= 720:
|
||||
raise ValueError('Full-run internal ceiling must be positive and at most720 seconds')
|
||||
if a.execute and (not a.gpu_admitted or not os.environ.get('CUDA_VISIBLE_DEVICES')):
|
||||
raise ValueError('Explicit GPU admission and device selection required')
|
||||
if a.output.exists() and any(a.output.iterdir()):
|
||||
raise ValueError('Use new/empty output directory')
|
||||
a.output.mkdir(parents=True, exist_ok=True)
|
||||
receipt = dict(experimental_variant=pilot.VARIANT, collision='SRT', control='with_cylinder',
|
||||
observation_mode=OBSERVATION, numerical_source_commit=full_manifest['commit'],
|
||||
manifest_sha256=hashlib.sha256((HERE/'dfg_full_source_manifest.json').read_bytes()).hexdigest(),
|
||||
checkout=checkout_provenance(pilot.ROOT), pilot_admission=admission)
|
||||
pilot.diagnostic.dump(a.output/'preflight.json', dict(**receipt, config=cfg, body=body,
|
||||
parameters=parameters, source=full_manifest, max_steps=2400000, cap_tstar=300.,
|
||||
observations='t*=.5 before240; .02 thereafter; forces at interval midpoint, pressure at endpoint',
|
||||
initialization='Original production initialization; restart, no pilot continuation',
|
||||
gates=periodic.GATES, reference_gates=periodic.REFERENCE_GATES,
|
||||
wall_seconds=a.wall_seconds, executed=False, accuracy_qualified=False))
|
||||
if not a.execute: return 0
|
||||
a.mode = 'full'; a.deadline = time.monotonic() + a.wall_seconds
|
||||
progress = {}
|
||||
try:
|
||||
result = runner.run_case(a, h, periodic, 'uniform', inlet_scheme=pilot.VARIANT,
|
||||
sparse_pilot=True, receipt_identity=receipt, progress=progress)
|
||||
except TimeoutError:
|
||||
pilot.diagnostic.dump(a.output/'result.json', dict(**receipt, status='wall_time_limit',
|
||||
healthy=False, accuracy_qualified=False, **progress))
|
||||
return 3
|
||||
passed = qualified(result)
|
||||
pilot.diagnostic.dump(a.output/'result.json', dict(**result, accuracy_qualified=passed))
|
||||
return 0 if passed else 2
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
raise SystemExit(main())
|
||||
@@ -0,0 +1,97 @@
|
||||
"""CPU-only full admission and unchanged observer tests; fixture receipts are synthetic."""
|
||||
from copy import deepcopy
|
||||
import json
|
||||
from pathlib import Path
|
||||
import subprocess
|
||||
import sys
|
||||
from tempfile import TemporaryDirectory
|
||||
import unittest
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parent))
|
||||
import run_dfg_full as f
|
||||
import test_dfg as pilot_tests
|
||||
|
||||
|
||||
def fixture(path):
|
||||
cfg, body, parameters, manifest, _ = f.configuration(f.pilot.ROOT)
|
||||
import run_refined_dfg as runner
|
||||
_, periodic = runner.helpers(f.pilot.ROOT)
|
||||
expected, result = pilot_tests.receipt()
|
||||
checkout = dict(checkout_revision='c0be841b2e6e1ccba3b8343cecd3cee2fe0ed14f', checkout_dirty=False)
|
||||
result.update(checkout=checkout, startup_seconds=3.3353, step_seconds=3.6794, wall_seconds=8.)
|
||||
preflight = dict(**expected, checkout=checkout, config=cfg, body=body, parameters=parameters,
|
||||
source=manifest, max_steps=40000, cap_tstar=5., observation_width_tstar=.5,
|
||||
gates=periodic.GATES, reference_gates=periodic.REFERENCE_GATES)
|
||||
ready = dict(**expected, checkout=checkout, case='uniform', mode='pilot', step=4000,
|
||||
tstar=.5, runner_sha256=runner.runner_hash(),
|
||||
all_runtime_and_observation_paths_exercised=True,
|
||||
calibration_batches_seconds=result['calibration_batches_seconds'])
|
||||
(path/'uniform').mkdir(exist_ok=True)
|
||||
for name, data in [('result.json', result), ('preflight.json', preflight), ('uniform/ready.json', ready)]:
|
||||
(path/name).write_text(json.dumps(data))
|
||||
return cfg, body, parameters, manifest
|
||||
|
||||
|
||||
def test_admission_rejects_mismatches():
|
||||
with TemporaryDirectory() as temp:
|
||||
path = Path(temp); args = fixture(path)
|
||||
receipt = f.admit_pilot(path, *args)
|
||||
assert abs(receipt['step_force_scaled_seconds'] - 220.764) < 1e-10
|
||||
cases = [('result.json', 'collision', 'MRT'),
|
||||
('result.json', 'step_seconds', float('nan')),
|
||||
('result.json', 'healthy', False),
|
||||
('uniform/ready.json', 'step', 160),
|
||||
('uniform/ready.json', 'runner_sha256', 'wrong'),
|
||||
('preflight.json', 'body', {'objects': []}),
|
||||
('preflight.json', 'gates', {}),
|
||||
('preflight.json', 'source', {})]
|
||||
for filename, key, value in cases:
|
||||
fixture(path)
|
||||
target = path/filename; data=json.loads(target.read_text()); data[key]=value
|
||||
target.write_text(json.dumps(data))
|
||||
with unittest.TestCase().assertRaises(ValueError): f.admit_pilot(path, *args)
|
||||
fixture(path); (path/'uniform/ready.json').unlink()
|
||||
with unittest.TestCase().assertRaises(FileNotFoundError): f.admit_pilot(path, *args)
|
||||
|
||||
|
||||
def test_full_requires_health_periodicity_and_reference():
|
||||
good = dict(case='uniform', mode='full', steps=2400000, executed_steps=2400000,
|
||||
healthy=True, periodic=True, reference_comparison=dict(reference_agreement=True))
|
||||
assert f.qualified(good)
|
||||
for key, value in [('healthy', False), ('periodic', False), ('steps', 40000),
|
||||
('executed_steps', 2399900), ('mode', 'pilot'), ('case', 'refined'),
|
||||
('reference_comparison', {}),
|
||||
('reference_comparison', dict(reference_agreement=False))]:
|
||||
bad=deepcopy(good); bad[key]=value; assert not f.qualified(bad)
|
||||
|
||||
|
||||
def test_preflight_preserves_physics_and_gates():
|
||||
with TemporaryDirectory() as temp:
|
||||
root=Path(temp); incoming=root/'pilot'; incoming.mkdir(); cfg, body, params, _=fixture(incoming)
|
||||
output=root/'full'
|
||||
subprocess.run([sys.executable, str(Path(f.__file__)), '--pilot-results', str(incoming),
|
||||
'--output', str(output)], check=True)
|
||||
data=json.loads((output/'preflight.json').read_text())
|
||||
assert data['config']==cfg and data['body']==body and data['parameters']==params
|
||||
assert data['max_steps']==2400000 and data['cap_tstar']==300 and data['wall_seconds']==720
|
||||
assert not data['accuracy_qualified'] and not data['executed']
|
||||
assert data['numerical_source_commit']=='926ca27407c26ca11283282a6e53249925725376'
|
||||
assert 'restart' in data['initialization']
|
||||
|
||||
|
||||
def test_old_files_and_late_observer_unchanged():
|
||||
root=f.pilot.ROOT
|
||||
for name in ['tests/validation/run_refined_dfg.py',
|
||||
'tests/validation/experimental_full9/run_dfg.py',
|
||||
'tests/validation/experimental_full9/dfg_source_manifest.json',
|
||||
'tests/validation/periodic.py']:
|
||||
old=subprocess.check_output(['git','-C',str(root),'show','c0be841:'+name])
|
||||
assert old==(root/name).read_bytes()
|
||||
source=(root/'tests/validation/run_refined_dfg.py').read_text()
|
||||
assert 'begin * SPEED / p["diameter"] >= 240' in source
|
||||
assert 'cap = 5.0 if a.mode == "pilot" else 300.0' in source
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
result=unittest.TextTestRunner(verbosity=2).run(unittest.TestSuite(
|
||||
unittest.FunctionTestCase(fn) for name,fn in sorted(globals().items()) if name.startswith('test_')))
|
||||
raise SystemExit(not result.wasSuccessful())
|
||||
Reference in new issue
Block a user