File size: 2,877 Bytes
ebc46a9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | import json
import numpy as np
from src.load_t2_material_loading_memory import load_trajectory
from src.t2_material_loading_memory import prescribed_history
from src.t2_material_loading_memory_v1 import (
DATA_DIR,
MATERIAL_MODELS,
PATH_FAMILIES,
case_identity,
design_parameters,
split_assignments,
)
def test_v1_design_is_unique_balanced_and_stratified():
rows = design_parameters()
split = split_assignments(rows)
assert len(rows) == 1008
assert len({case_identity(row) for row in rows}) == 1008
assert sum(value == "train" for value in split.values()) == 768
assert sum(value == "validation" for value in split.values()) == 120
assert sum(value == "test" for value in split.values()) == 120
for model in MATERIAL_MODELS:
assert sum(row["material_model"] == model for row in rows) == 504
for family in PATH_FAMILIES:
indices = [
index
for index, row in enumerate(rows)
if row["material_model"] == model and row["path_family"] == family
]
assert len(indices) == 84
assert sum(split[index] == "train" for index in indices) == 64
assert sum(split[index] == "validation" for index in indices) == 10
assert sum(split[index] == "test" for index in indices) == 10
def test_v1_parameter_ranges_and_model_labels_are_explicit():
rows = design_parameters()
for row in rows:
assert 150.0e9 <= row["young_pa"] <= 230.0e9
assert 0.25 <= row["poisson"] <= 0.34
assert 180.0e6 <= row["yield_stress_pa"] <= 450.0e6
assert 0.003 <= row["maximum_equivalent_strain"] <= 0.012
if row["material_model"] == "j2_linear_isotropic":
assert row["backstress_c1_pa"] == 0.0
assert row["isotropic_saturation_pa"] == 0.0
else:
assert row["hardening_modulus_pa"] == 0.0
assert row["backstress_c1_pa"] > 0.0
def test_v1_histories_preserve_reversals_under_refinement():
for row in design_parameters()[::83]:
_, coarse, anchors = prescribed_history(row, points=121)
_, fine, _ = prescribed_history(row, points=241)
np.testing.assert_allclose(coarse, fine[::2], rtol=0.0, atol=1.0e-15)
for anchor in anchors:
assert np.any(np.isclose(coarse, anchor, rtol=0.0, atol=1.0e-15))
def test_v1_packaged_data_and_lightweight_reader_when_present():
manifest_path = DATA_DIR / "manifest.json"
if not manifest_path.exists():
return
manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
assert manifest["sample_count"] == 1008
assert len(manifest["shards"]) == 8
sample = load_trajectory(DATA_DIR, 0)
assert sample["history"]["stress_pa"].shape == (121, 3, 3)
assert np.isfinite(sample["history"]["stress_pa"]).all()
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