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()