| 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() |
|
|
