Add prospective DENIM sealed test v1
Browse filesAdd 128 frozen-role trajectories, generation contract, checksums, and leakage audit before model evaluation.
- DENIM_SEALED_TEST_V1_SHA256SUMS +10 -0
- README.md +28 -1
- artifacts/t2_denim_protocol_audit_v1.json +90 -0
- configs/t2_denim_sealed_test_v1.json +37 -0
- data/t2_denim_sealed_test_v1/README.md +25 -0
- data/t2_denim_sealed_test_v1/audit.json +12 -0
- data/t2_denim_sealed_test_v1/cohort.h5 +3 -0
- data/t2_denim_sealed_test_v1/index.csv +129 -0
- data/t2_denim_sealed_test_v1/index.jsonl +128 -0
- data/t2_denim_sealed_test_v1/manifest.json +41 -0
- src/audit_t2_denim_dataset_protocol.py +89 -0
- src/generate_t2_denim_sealed_test_v1.py +361 -0
- tests/test_t2_denim_sealed_test_v1.py +38 -0
DENIM_SEALED_TEST_V1_SHA256SUMS
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9ec75864ec79bfab96355b54250d10e2a6438b918378132fbeb75c6d3176701f data/t2_denim_sealed_test_v1/audit.json
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0325dfe3b0ed6f20312e6572019b728ace3c544eb1be2997f225c3b046d7bbd4 data/t2_denim_sealed_test_v1/cohort.h5
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70d982159f9a28bfd300449d672dd8085507617e6802573779138a9ea09c9f39 data/t2_denim_sealed_test_v1/index.csv
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+
479e9999d2d96498ab8ed68866879c48b4eedc3e5334a7a0b9272da9b8a3ec5d data/t2_denim_sealed_test_v1/index.jsonl
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147870191c17b50e54ad0d461c252d4c35991c505d279f3bed82d9e7c96796f3 data/t2_denim_sealed_test_v1/manifest.json
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40a293513a8e5c897d8b82195495db277d13f7d01b838f07da5a165b36f07c3e configs/t2_denim_sealed_test_v1.json
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296437c452977833e550bfdaa356582b4f4937cf3ed400978266381ed6b70c33 src/audit_t2_denim_dataset_protocol.py
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1c62a6a01a31bd80f56c25393f1fb1fc11f70722ec8e3a6a3f9ba2c2d064fad3 src/generate_t2_denim_sealed_test_v1.py
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040e1c3ecc0b43dcda1791c549e2ce2674a6138f07b626b0719202f8a00a94ad tests/test_t2_denim_sealed_test_v1.py
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2ed0d88dc677ec2357f7dd6f4df486a24f85ae13b8e66e79b92bf62e9c5f57a9 artifacts/t2_denim_protocol_audit_v1.json
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README.md
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@@ -38,8 +38,11 @@ repository contains four related, explicitly separated research protocols.
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- **T2 DENIM capability v4:** 1,000 trajectories for 100-cycle horizons,
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full six-component loading, AgentFEM-derived structural paths and paired
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discretization/noisy-observation tests.
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-
The repository now contains **3,
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are used as a staged evidence chain; they are not presented as 2,660
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exchangeable samples from one training distribution.
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@@ -129,6 +132,30 @@ redistribution. See `data/t2_denim_capability_v4/README.md` for the exact
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protocol and `artifacts/t2_denim_capability_v4/capability_summary.json` for
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machine-readable boundary statistics.
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## AgentFEM runtime validation
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The expanded DENIM checkpoint is also available as a checksum-authenticated
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- **T2 DENIM capability v4:** 1,000 trajectories for 100-cycle horizons,
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full six-component loading, AgentFEM-derived structural paths and paired
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discretization/noisy-observation tests.
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- **T2 DENIM sealed test v1:** 128 prospectively generated trajectories for
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globally unseen paths, 150/200-cycle horizons and combined amplitude/mean
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shift. The DENIM v2.2 weights and evaluation protocol were frozen first.
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The repository now contains **3,788 complete trajectories**. The original 2,660-role protocol remains frozen; the v4 extension has separate train/validation/test roles and does not retroactively alter published scores. Releases
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are used as a staged evidence chain; they are not presented as 2,660
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exchangeable samples from one training distribution.
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protocol and `artifacts/t2_denim_capability_v4/capability_summary.json` for
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machine-readable boundary statistics.
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## Prospective sealed test v1
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The 128-trajectory sealed test is a final, non-training extension: 64 globally
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unseen path-shape histories, 32 histories with 150 or 200 cycles, and 32
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combined amplitude/mean-shift histories. All eight path-family identifiers are
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disjoint from training. The reference integrator enforces finite values,
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monotone accumulated plastic strain, a relative yield-surface residual below
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`1e-8`, total equivalent strain no greater than `0.0155`, and accumulated
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equivalent plastic strain no greater than `0.10`.
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The manifest binds the data to DENIM v2.2 weights SHA-256
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`d7b848f41aa46616c76c5f0db536d8ecfbc508a5375faa3cbbcc555fb062633b`.
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These samples are ineligible for training, validation, checkpoint selection or
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model redesign. The repository-level protocol audit reports zero exact
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cross-role collisions for full model inputs and for input/target pairs. This
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dataset release intentionally contains no sealed-test model score; evaluation
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is published separately in the model repository.
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- Data card: `data/t2_denim_sealed_test_v1/README.md`
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- Lossless trajectories: `data/t2_denim_sealed_test_v1/cohort.h5`
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- Viewer indexes: `data/t2_denim_sealed_test_v1/index.csv` and `index.jsonl`
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- Generation contract: `configs/t2_denim_sealed_test_v1.json`
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- Leakage audit: `artifacts/t2_denim_protocol_audit_v1.json`
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## AgentFEM runtime validation
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The expanded DENIM checkpoint is also available as a checksum-authenticated
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artifacts/t2_denim_protocol_audit_v1.json
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{
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"exact_cross_role_collisions": {
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"full_model_input": 0,
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"model_input_plus_target": 0,
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"strain_only": 34
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},
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"family_overlap_with_training": {
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"sealed_test": [],
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"test": [
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"mean_shifted_cyclic",
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"monotonic_tension",
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"nonproportional_square",
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"orthogonal_cross",
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"out_of_phase_lissajous",
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"proportional_axial_cycle",
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"proportional_shear_cycle",
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"sequential_axial_shear",
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"symmetric_cyclic",
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"tension_compression",
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"unload_reload",
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"variable_amplitude"
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],
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"train": [
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"hydro_deviatoric_sequence",
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"mean_shifted_cyclic",
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"monotonic_tension",
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"nonproportional_square",
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"orthogonal_cross",
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"out_of_phase_lissajous",
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"principal_axis_rotation_3d",
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"proportional_axial_cycle",
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"proportional_shear_cycle",
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"sequential_axial_shear",
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"symmetric_cyclic",
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"tension_compression",
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"three_shear_rotation",
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"triaxial_phase_lissajous",
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"unload_reload",
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"variable_amplitude"
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],
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"validation": [
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"hydro_deviatoric_sequence",
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"mean_shifted_cyclic",
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"monotonic_tension",
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"nonproportional_square",
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"orthogonal_cross",
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"out_of_phase_lissajous",
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"principal_axis_rotation_3d",
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"proportional_axial_cycle",
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"proportional_shear_cycle",
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"sequential_axial_shear",
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"symmetric_cyclic",
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"tension_compression",
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"three_shear_rotation",
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"triaxial_phase_lissajous",
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"unload_reload",
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"variable_amplitude"
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]
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},
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"interpretation": {
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"existing_test_policy": "The 1,349 pre-existing test trajectories are development benchmarks because prior aggregate results informed later model design.",
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"sealed_policy": "sealed_test_v1 is the first prospective frozen-model test and must never be reused for training or checkpoint selection.",
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"strain_only_collisions": "Expected transfer pairs can share strain histories across different material descriptors and targets; they are not direct input/target leakage."
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},
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"passed": true,
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"role_counts": {
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"sealed_test": 128,
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"test": 1349,
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"train": 1808,
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"validation": 503
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},
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"schema": "agentfem.denim-ml-protocol-audit.v1",
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"sealed_test": {
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"eligible_for_training_or_selection": false,
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"families": [
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"sealed_biased_rosette_overload",
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"sealed_chirped_six_component_rosette",
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"sealed_mean_shift_reversal",
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"sealed_modulated_rotating_cycles",
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"sealed_nested_minor_cycles",
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"sealed_nested_nonperiodic_minor_loops",
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"sealed_rounded_multiaxial_polygon",
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"sealed_smooth_deviatoric_spline"
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],
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"family_count": 8,
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"family_overlap_with_training": [],
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"trajectory_count": 128
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},
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"trajectory_count": 3788
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}
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configs/t2_denim_sealed_test_v1.json
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{
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"schema": "agentfem.physics-data.denim-sealed-test",
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"schema_version": "1.0.0",
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"seed": 20261017,
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"sample_count": 128,
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"role": "sealed_test",
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"parent_dataset_revision": "44528002b59ad15d7ccb452e2b502483bdebc518",
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"frozen_model": {
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"repository": "HaomingLuo/AgentFEM-DENIM",
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"revision": "6d14b48ff0c1178a20f2bfec87fec6b86ab786ce",
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"tag": "v2.2.0-capability-validated",
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"weights_sha256": "d7b848f41aa46616c76c5f0db536d8ecfbc508a5375faa3cbbcc555fb062633b"
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},
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"cohorts": {
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"global_path_ood": 64,
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"horizon_ood": 32,
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"amplitude_mean_ood": 32
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},
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"applicability_guardrails": {
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"maximum_total_equivalent_strain": 0.0155,
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"maximum_accumulated_equivalent_plastic_strain": 0.10,
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"reference_hardening_extrapolation_allowed": false
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},
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"evaluation": {
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"selection_or_tuning_on_sealed_test": false,
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"primary_metric": "trajectory-macro stress RMSE (MPa)",
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"secondary_metrics": [
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"state-point-micro stress RMSE (MPa)",
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"per-component stress RMSE (MPa)",
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"plastic-only stress RMSE (MPa)",
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"trajectory RMSE median/p95/max (MPa)",
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"trajectory-bootstrap 95% confidence interval",
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"maximum yield residual (Pa)"
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]
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},
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"scope": "Prospectively sealed synthetic small-strain tests for the frozen DENIM v2.2 constitutive model. No trajectory may be used for training, validation, checkpoint selection, hyperparameter tuning, or model redesign."
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}
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data/t2_denim_sealed_test_v1/README.md
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# DENIM sealed test v1
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This release adds 128 complete, prospectively sealed material histories to the
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AgentFEM Material Loading Memory dataset. DENIM v2.2 was frozen before data
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generation; none of these samples may be used for optimization or model
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selection.
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| Cohort | Trajectories | Purpose |
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|---|---:|---|
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| `global_path_ood` | 64 | Eight-dimensional-state response on four globally unseen six-component path shapes |
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| `horizon_ood` | 32 | Stable state propagation through 150 and 200 cycles |
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| `amplitude_mean_ood` | 32 | Combined amplitude extrapolation and biased/reversal loading |
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Each HDF5 group is one full trajectory. Fields include total strain, stress,
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plastic strain, PEEQ, plastic increment, the two-channel incomplete state,
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three-channel reference state, isotropic radius and normalized time. Quantities
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use SI units. Voigt order is `xx, yy, zz, xy, yz, xz`, with tensor shear.
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Quality gates passed for all 128 histories. The maximum accumulated equivalent
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plastic strain is `0.09327`; the largest reference relative yield-surface
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residual is `5.42e-11`. No failed trajectory was removed.
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The fixed data SHA-256 is
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`0325dfe3b0ed6f20312e6572019b728ace3c544eb1be2997f225c3b046d7bbd4`.
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See `manifest.json` and `audit.json` for machine-readable evidence.
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data/t2_denim_sealed_test_v1/audit.json
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{
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"all_finite": true,
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"all_roles_sealed": true,
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"case_ids_unique": true,
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"cohort_counts_match": true,
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| 6 |
+
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| 58 |
+
denim-sealed-v1-0056,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0056,sealed_nested_nonperiodic_minor_loops,241,1,0.007727756013927258,0.02653217627209103,156,687589489.7350693,1.4210598809378488e-11,True
|
| 59 |
+
denim-sealed-v1-0057,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0057,sealed_nested_nonperiodic_minor_loops,241,1,0.005922946585557219,0.017050708867127642,134,560425688.0443685,1.2885672705514091e-11,True
|
| 60 |
+
denim-sealed-v1-0058,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0058,sealed_nested_nonperiodic_minor_loops,241,1,0.004706034199031833,0.010917381420852456,110,473771392.39391214,1.2599783284323555e-11,True
|
| 61 |
+
denim-sealed-v1-0059,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0059,sealed_nested_nonperiodic_minor_loops,241,1,0.01079715452625046,0.04310445533089002,179,898667423.2715032,1.5091896057128905e-11,True
|
| 62 |
+
denim-sealed-v1-0060,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0060,sealed_nested_nonperiodic_minor_loops,241,1,0.012021589566303736,0.04983118847029315,184,980899190.1159164,1.4912443501608713e-11,True
|
| 63 |
+
denim-sealed-v1-0061,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0061,sealed_nested_nonperiodic_minor_loops,241,1,0.008522018394145495,0.030782941005436066,163,743066190.7050078,1.3391886438642229e-11,True
|
| 64 |
+
denim-sealed-v1-0062,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0062,sealed_nested_nonperiodic_minor_loops,241,1,0.012190012052222246,0.05076013347196716,185,992162717.1174836,1.53775726045881e-11,True
|
| 65 |
+
denim-sealed-v1-0063,global_path_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0063,sealed_nested_nonperiodic_minor_loops,241,1,0.010042658507336509,0.038995801458673096,175,847682664.9898616,1.447711672101702e-11,True
|
| 66 |
+
denim-sealed-v1-0064,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0064,sealed_modulated_rotating_cycles,1801,150,0.0015976872625644346,0.0156881606172974,373,310135655.35503256,1.2328582150595528e-11,True
|
| 67 |
+
denim-sealed-v1-0065,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0065,sealed_nested_minor_cycles,1801,150,0.001578480450555794,0.009775825360546067,177,317059282.9016594,1.1671015194484166e-11,True
|
| 68 |
+
denim-sealed-v1-0066,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0066,sealed_modulated_rotating_cycles,1801,150,0.0015436823203143094,0.008681519288899691,260,275982172.69739074,1.1669950825827462e-11,True
|
| 69 |
+
denim-sealed-v1-0067,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0067,sealed_nested_minor_cycles,1801,150,0.0015727335883458046,0.009321777359795377,193,316006195.62180245,1.2065470218658447e-11,True
|
| 70 |
+
denim-sealed-v1-0068,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0068,sealed_modulated_rotating_cycles,1801,150,0.0015487564975896297,0.008764572054035935,250,272658674.9406399,1.183514084134783e-11,True
|
| 71 |
+
denim-sealed-v1-0069,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0069,sealed_nested_minor_cycles,1801,150,0.0015138113579427814,0.005638656225651826,136,304666428.3944305,1.1583311217171805e-11,True
|
| 72 |
+
denim-sealed-v1-0070,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0070,sealed_modulated_rotating_cycles,1801,150,0.0015582565382258632,0.009641233919449129,302,290792627.71359885,1.197244439806257e-11,True
|
| 73 |
+
denim-sealed-v1-0071,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0071,sealed_nested_minor_cycles,1801,150,0.001529558714424307,0.006294030004028421,138,307423819.62248874,1.172849110194615e-11,True
|
| 74 |
+
denim-sealed-v1-0072,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0072,sealed_modulated_rotating_cycles,1801,150,0.0016011461596065596,0.012612311490115605,257,285652166.06962025,1.2272596359252929e-11,True
|
| 75 |
+
denim-sealed-v1-0073,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0073,sealed_nested_minor_cycles,1801,150,0.0015998172292860584,0.011414008426562693,196,321949489.90501213,1.201310328074864e-11,True
|
| 76 |
+
denim-sealed-v1-0074,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0074,sealed_modulated_rotating_cycles,1801,150,0.0015371782950141424,0.010326333355380756,270,298690912.7182155,1.2243645531790597e-11,True
|
| 77 |
+
denim-sealed-v1-0075,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0075,sealed_nested_minor_cycles,1801,150,0.0016026032928893185,0.011705394548689947,213,321953566.63263583,1.2400320598057339e-11,True
|
| 78 |
+
denim-sealed-v1-0076,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0076,sealed_modulated_rotating_cycles,1801,150,0.001559044301890451,0.011544001035711605,308,296683993.8016272,1.2436509132385254e-11,True
|
| 79 |
+
denim-sealed-v1-0077,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0077,sealed_nested_minor_cycles,1801,150,0.0015165715173217536,0.005767605848276091,133,304595770.38250124,1.1736154556274413e-11,True
|
| 80 |
+
denim-sealed-v1-0078,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0078,sealed_modulated_rotating_cycles,1801,150,0.0015951001019454112,0.013204917079791347,261,283535929.06611294,1.214104039328439e-11,True
|
| 81 |
+
denim-sealed-v1-0079,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0079,sealed_nested_minor_cycles,1801,150,0.0015161620733438407,0.005854108554034252,151,305091072.30784404,1.1546484061649867e-11,True
|
| 82 |
+
denim-sealed-v1-0080,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0080,sealed_modulated_rotating_cycles,2401,200,0.0015883841078855679,0.013148206317871941,315,280562051.6846659,1.203502927507673e-11,True
|
| 83 |
+
denim-sealed-v1-0081,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0081,sealed_nested_minor_cycles,2401,200,0.0015439675712953429,0.0075434109703673615,182,310186495.15089244,1.1946473802839007e-11,True
|
| 84 |
+
denim-sealed-v1-0082,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0082,sealed_modulated_rotating_cycles,2401,200,0.0015718978914722322,0.010864459590896934,328,284231329.29003114,1.2158283165522984e-11,True
|
| 85 |
+
denim-sealed-v1-0083,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0083,sealed_nested_minor_cycles,2401,200,0.0015839991695997388,0.01109839232441189,202,319136026.49509937,1.2179570538657053e-11,True
|
| 86 |
+
denim-sealed-v1-0084,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0084,sealed_modulated_rotating_cycles,2401,200,0.0015189733077323182,0.007353809403711413,308,274895599.27762383,1.1748075485229492e-11,True
|
| 87 |
+
denim-sealed-v1-0085,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0085,sealed_nested_minor_cycles,2401,200,0.001538453260110611,0.007248909368891437,203,309312450.2689048,1.1597786630902971e-11,True
|
| 88 |
+
denim-sealed-v1-0086,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0086,sealed_modulated_rotating_cycles,2401,200,0.0016078839035494805,0.014159629643919156,336,291927571.76412404,1.2449494429997035e-11,True
|
| 89 |
+
denim-sealed-v1-0087,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0087,sealed_nested_minor_cycles,2401,200,0.0015638506843337582,0.00906268080929361,212,314569040.3194289,1.2056316648210798e-11,True
|
| 90 |
+
denim-sealed-v1-0088,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0088,sealed_modulated_rotating_cycles,2401,200,0.0015900901082658066,0.013977258531241364,450,304555171.2314002,1.247291054044451e-11,True
|
| 91 |
+
denim-sealed-v1-0089,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0089,sealed_nested_minor_cycles,2401,200,0.0016094478757639834,0.01303230974806594,250,323964758.3980804,1.2612555708203998e-11,True
|
| 92 |
+
denim-sealed-v1-0090,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0090,sealed_modulated_rotating_cycles,2401,200,0.0015453939641145652,0.009244491047513964,277,270638079.08101916,1.1827051639556885e-11,True
|
| 93 |
+
denim-sealed-v1-0091,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0091,sealed_nested_minor_cycles,2401,200,0.0015341429544673852,0.006801326702937913,172,308085749.3966752,1.1541800839560372e-11,True
|
| 94 |
+
denim-sealed-v1-0092,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0092,sealed_modulated_rotating_cycles,2401,200,0.0015599848639618046,0.010791316038109521,304,284879531.3112276,1.2068450450897217e-11,True
|
| 95 |
+
denim-sealed-v1-0093,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0093,sealed_nested_minor_cycles,2401,200,0.0015972871270702356,0.01223936849909304,252,322691983.28468007,1.2471420424325126e-11,True
|
| 96 |
+
denim-sealed-v1-0094,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0094,sealed_modulated_rotating_cycles,2401,200,0.0015488943330355253,0.009923318113226684,424,293604700.2711557,1.212848084313529e-11,True
|
| 97 |
+
denim-sealed-v1-0095,horizon_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0095,sealed_nested_minor_cycles,2401,200,0.001513290444788047,0.005906394869996094,145,305694561.2121614,1.147836446762085e-11,True
|
| 98 |
+
denim-sealed-v1-0096,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0096,sealed_biased_rosette_overload,321,1,0.014589553979079796,0.08754302020080543,321,911830159.9082056,1.645003046308245e-11,True
|
| 99 |
+
denim-sealed-v1-0097,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0097,sealed_mean_shift_reversal,321,1,0.014676475726548111,0.054350074912692045,278,1258929436.4839563,1.439218010221209e-11,True
|
| 100 |
+
denim-sealed-v1-0098,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0098,sealed_biased_rosette_overload,321,1,0.014639196023913604,0.08626914283116985,321,980610293.9645584,1.6778707504272462e-11,True
|
| 101 |
+
denim-sealed-v1-0099,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0099,sealed_mean_shift_reversal,321,1,0.01485846489833203,0.055154420265339774,278,1271865340.4073796,1.4827506882803782e-11,True
|
| 102 |
+
denim-sealed-v1-0100,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0100,sealed_biased_rosette_overload,321,1,0.014689874216194145,0.08556403616929081,321,982585985.9067105,1.6334652900695802e-11,True
|
| 103 |
+
denim-sealed-v1-0101,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0101,sealed_mean_shift_reversal,321,1,0.01481954412458991,0.05498235143393586,278,1269100026.4535055,1.4771521091461183e-11,True
|
| 104 |
+
denim-sealed-v1-0102,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0102,sealed_biased_rosette_overload,321,1,0.014588296216981135,0.08646859485645489,321,965572957.2588328,1.5867395060403007e-11,True
|
| 105 |
+
denim-sealed-v1-0103,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0103,sealed_mean_shift_reversal,321,1,0.014939019095014133,0.05551063583132103,278,1277586639.450334,1.4760664531162807e-11,True
|
| 106 |
+
denim-sealed-v1-0104,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0104,sealed_biased_rosette_overload,321,1,0.014904485689393756,0.08940796341738447,321,927176924.6030387,3.781233515058245e-11,True
|
| 107 |
+
denim-sealed-v1-0105,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0105,sealed_mean_shift_reversal,321,1,0.01451503091254291,0.05363701523593062,278,1247441833.4480543,1.483921493802752e-11,True
|
| 108 |
+
denim-sealed-v1-0106,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0106,sealed_biased_rosette_overload,321,1,0.01494890172512185,0.08918776799007963,321,956124286.2658119,1.6673547880990163e-11,True
|
| 109 |
+
denim-sealed-v1-0107,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0107,sealed_mean_shift_reversal,321,1,0.014270368978480769,0.05255726299751935,278,1230011167.7491698,1.4827081135341098e-11,True
|
| 110 |
+
denim-sealed-v1-0108,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0108,sealed_biased_rosette_overload,321,1,0.01467503106170329,0.08681063447920702,321,915567160.3885115,1.6398302146366664e-11,True
|
| 111 |
+
denim-sealed-v1-0109,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0109,sealed_mean_shift_reversal,321,1,0.014938507647718535,0.055508373817057526,278,1277550323.0574775,1.4263604368482318e-11,True
|
| 112 |
+
denim-sealed-v1-0110,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0110,sealed_biased_rosette_overload,321,1,0.015460313963732262,0.09326958237180286,321,962652481.5767021,5.420574120112828e-11,True
|
| 113 |
+
denim-sealed-v1-0111,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0111,sealed_mean_shift_reversal,321,1,0.014447844790580755,0.05334040458909617,278,1242657854.597925,1.4929260526384625e-11,True
|
| 114 |
+
denim-sealed-v1-0112,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0112,sealed_biased_rosette_overload,321,1,0.015010552787391926,0.08803607117150448,321,999008690.0108626,1.5806726046970913e-11,True
|
| 115 |
+
denim-sealed-v1-0113,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0113,sealed_mean_shift_reversal,321,1,0.014649549468606818,0.05423111713054534,278,1257014286.2189178,1.4509473528180804e-11,True
|
| 116 |
+
denim-sealed-v1-0114,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0114,sealed_biased_rosette_overload,321,1,0.015149191163832058,0.09057484306203036,321,952606408.0615753,4.173346928187779e-11,True
|
| 117 |
+
denim-sealed-v1-0115,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0115,sealed_mean_shift_reversal,321,1,0.015199391233066753,0.056663167595281685,281,1296060483.8624787,1.4527993542807442e-11,True
|
| 118 |
+
denim-sealed-v1-0116,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0116,sealed_biased_rosette_overload,321,1,0.015182869186771341,0.09125932458747761,321,947826678.8271102,1.659670046397618e-11,True
|
| 119 |
+
denim-sealed-v1-0117,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0117,sealed_mean_shift_reversal,321,1,0.014987345674227387,0.055724394188754356,278,1281017666.7433083,1.494927065713065e-11,True
|
| 120 |
+
denim-sealed-v1-0118,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0118,sealed_biased_rosette_overload,321,1,0.01538421751111012,0.09148522615916477,321,1003950563.3347223,3.693018640790667e-11,True
|
| 121 |
+
denim-sealed-v1-0119,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0119,sealed_mean_shift_reversal,321,1,0.015462187308815616,0.057827936158392754,281,1314677389.7231865,1.50395291192191e-11,True
|
| 122 |
+
denim-sealed-v1-0120,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0120,sealed_biased_rosette_overload,321,1,0.014707594867995834,0.08820853552578711,321,920107437.5031269,1.7858403069632393e-11,True
|
| 123 |
+
denim-sealed-v1-0121,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0121,sealed_mean_shift_reversal,321,1,0.014872638366311681,0.05521708784640865,278,1272872201.311994,1.498056309563773e-11,True
|
| 124 |
+
denim-sealed-v1-0122,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0122,sealed_biased_rosette_overload,321,1,0.014626106780294334,0.08784350003900912,321,913903203.3905361,3.9452952998025076e-11,True
|
| 125 |
+
denim-sealed-v1-0123,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0123,sealed_mean_shift_reversal,321,1,0.014848067021610612,0.055108448610205675,278,1271126636.7923987,1.4937349728175572e-11,True
|
| 126 |
+
denim-sealed-v1-0124,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0124,sealed_biased_rosette_overload,321,1,0.014853179886632177,0.08937614996319469,321,921722395.3217319,1.645620380129133e-11,True
|
| 127 |
+
denim-sealed-v1-0125,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0125,sealed_mean_shift_reversal,321,1,0.014894534779529683,0.05531390924029111,278,1274427518.9208868,1.4916488102504186e-11,True
|
| 128 |
+
denim-sealed-v1-0126,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0126,sealed_biased_rosette_overload,321,1,0.014548500449748786,0.08638661797684857,321,909467599.1708863,4.153358084814889e-11,True
|
| 129 |
+
denim-sealed-v1-0127,amplitude_mean_ood,sealed_test_v1,sealed_test,denim-sealed-v1-0127,sealed_mean_shift_reversal,321,1,0.014354825830452361,0.05292987606466692,278,1236031181.3658056,1.4267010348183767e-11,True
|
data/t2_denim_sealed_test_v1/index.jsonl
ADDED
|
@@ -0,0 +1,128 @@
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| 1 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0000", "maximum_absolute_stress_pa": 2269556655.2422686, "maximum_equivalent_strain": 0.011448086467913475, "maximum_peeq": 0.08859475661324198, "maximum_yield_surface_relative_residual": 1.8291388239179338e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 232, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0000", "split": "sealed_test_v1"}
|
| 2 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0001", "maximum_absolute_stress_pa": 1269739692.1512458, "maximum_equivalent_strain": 0.008925743930737315, "maximum_peeq": 0.06477164760410108, "maximum_yield_surface_relative_residual": 1.986473798751831e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 228, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0001", "split": "sealed_test_v1"}
|
| 3 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0002", "maximum_absolute_stress_pa": 880444034.0981332, "maximum_equivalent_strain": 0.00644133693506209, "maximum_peeq": 0.040977227204026585, "maximum_yield_surface_relative_residual": 1.939875738961356e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 224, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0002", "split": "sealed_test_v1"}
|
| 4 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0003", "maximum_absolute_stress_pa": 1420041646.2425508, "maximum_equivalent_strain": 0.011786190171118963, "maximum_peeq": 0.08941693443855278, "maximum_yield_surface_relative_residual": 1.9482842513493128e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 230, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0003", "split": "sealed_test_v1"}
|
| 5 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0004", "maximum_absolute_stress_pa": 2278900027.322614, "maximum_equivalent_strain": 0.01244748884108082, "maximum_peeq": 0.08672975141285241, "maximum_yield_surface_relative_residual": 2.4891538279397148e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 231, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0004", "split": "sealed_test_v1"}
|
| 6 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0005", "maximum_absolute_stress_pa": 1899206022.4865236, "maximum_equivalent_strain": 0.009802727199959744, "maximum_peeq": 0.06711194276811591, "maximum_yield_surface_relative_residual": 1.6387019838605608e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 230, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0005", "split": "sealed_test_v1"}
|
| 7 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0006", "maximum_absolute_stress_pa": 976714353.4744864, "maximum_equivalent_strain": 0.007623677996510515, "maximum_peeq": 0.05265855133420004, "maximum_yield_surface_relative_residual": 1.534649303981236e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 227, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0006", "split": "sealed_test_v1"}
|
| 8 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0007", "maximum_absolute_stress_pa": 791848775.4698396, "maximum_equivalent_strain": 0.005499313764203498, "maximum_peeq": 0.03139586190857304, "maximum_yield_surface_relative_residual": 1.4481799943106516e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 222, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0007", "split": "sealed_test_v1"}
|
| 9 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0008", "maximum_absolute_stress_pa": 1560344161.9696784, "maximum_equivalent_strain": 0.00975821207547065, "maximum_peeq": 0.06574621783951685, "maximum_yield_surface_relative_residual": 2.0504849297659736e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 229, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0008", "split": "sealed_test_v1"}
|
| 10 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0009", "maximum_absolute_stress_pa": 1051024469.3886465, "maximum_equivalent_strain": 0.009010876278880984, "maximum_peeq": 0.05834171081178207, "maximum_yield_surface_relative_residual": 1.6113902841295516e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 227, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0009", "split": "sealed_test_v1"}
|
| 11 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0010", "maximum_absolute_stress_pa": 832029584.461285, "maximum_equivalent_strain": 0.004098922591596106, "maximum_peeq": 0.026199019710484432, "maximum_yield_surface_relative_residual": 1.4019651072365897e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 223, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0010", "split": "sealed_test_v1"}
|
| 12 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0011", "maximum_absolute_stress_pa": 871008253.9173435, "maximum_equivalent_strain": 0.006440882806824327, "maximum_peeq": 0.038173332596601446, "maximum_yield_surface_relative_residual": 1.4591855662209646e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 223, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0011", "split": "sealed_test_v1"}
|
| 13 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0012", "maximum_absolute_stress_pa": 1697061111.9843216, "maximum_equivalent_strain": 0.00909822635791496, "maximum_peeq": 0.062269919231437425, "maximum_yield_surface_relative_residual": 1.5845894813537597e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 229, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0012", "split": "sealed_test_v1"}
|
| 14 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0013", "maximum_absolute_stress_pa": 2102570906.3708742, "maximum_equivalent_strain": 0.012626211281809747, "maximum_peeq": 0.09113523626941114, "maximum_yield_surface_relative_residual": 1.7418393066951207e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 231, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0013", "split": "sealed_test_v1"}
|
| 15 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0014", "maximum_absolute_stress_pa": 701217145.2733221, "maximum_equivalent_strain": 0.004107311871535446, "maximum_peeq": 0.021956946423007318, "maximum_yield_surface_relative_residual": 1.3050862721034458e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 221, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0014", "split": "sealed_test_v1"}
|
| 16 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0015", "maximum_absolute_stress_pa": 1721350601.6046288, "maximum_equivalent_strain": 0.009409368749593397, "maximum_peeq": 0.06454165306927667, "maximum_yield_surface_relative_residual": 1.8361423696790423e-11, "path_family": "sealed_chirped_six_component_rosette", "plastic_step_count": 229, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0015", "split": "sealed_test_v1"}
|
| 17 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0016", "maximum_absolute_stress_pa": 294086517.4083123, "maximum_equivalent_strain": 0.010753282878584397, "maximum_peeq": 0.0403144073519903, "maximum_yield_surface_relative_residual": 1.4623148100716728e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 212, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0016", "split": "sealed_test_v1"}
|
| 18 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0017", "maximum_absolute_stress_pa": 221897904.48155254, "maximum_equivalent_strain": 0.006370027233510159, "maximum_peeq": 0.02251107489196598, "maximum_yield_surface_relative_residual": 1.3574957847595215e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 163, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0017", "split": "sealed_test_v1"}
|
| 19 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0018", "maximum_absolute_stress_pa": 246226868.29628956, "maximum_equivalent_strain": 0.007893842308332314, "maximum_peeq": 0.03297194437986172, "maximum_yield_surface_relative_residual": 1.4476478099822999e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 190, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0018", "split": "sealed_test_v1"}
|
| 20 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0019", "maximum_absolute_stress_pa": 266793335.6395967, "maximum_equivalent_strain": 0.008193997502128677, "maximum_peeq": 0.03775506812474906, "maximum_yield_surface_relative_residual": 1.4144395078931537e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 189, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0019", "split": "sealed_test_v1"}
|
| 21 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0020", "maximum_absolute_stress_pa": 298201537.45446026, "maximum_equivalent_strain": 0.010481286632809176, "maximum_peeq": 0.0368160624815675, "maximum_yield_surface_relative_residual": 1.4333639826093401e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 202, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0020", "split": "sealed_test_v1"}
|
| 22 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0021", "maximum_absolute_stress_pa": 333482907.16514075, "maximum_equivalent_strain": 0.01276395130592266, "maximum_peeq": 0.053232647878211775, "maximum_yield_surface_relative_residual": 1.5545104231153217e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 207, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0021", "split": "sealed_test_v1"}
|
| 23 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0022", "maximum_absolute_stress_pa": 234465733.0785406, "maximum_equivalent_strain": 0.011236886399375427, "maximum_peeq": 0.03778645437138594, "maximum_yield_surface_relative_residual": 1.448030982698713e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 203, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0022", "split": "sealed_test_v1"}
|
| 24 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0023", "maximum_absolute_stress_pa": 185436730.07049948, "maximum_equivalent_strain": 0.004148758785807405, "maximum_peeq": 0.010359931660197566, "maximum_yield_surface_relative_residual": 1.2463969843728202e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 125, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0023", "split": "sealed_test_v1"}
|
| 25 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0024", "maximum_absolute_stress_pa": 231981128.14578643, "maximum_equivalent_strain": 0.005899887263808739, "maximum_peeq": 0.021527992613519144, "maximum_yield_surface_relative_residual": 1.3558353696550641e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 187, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0024", "split": "sealed_test_v1"}
|
| 26 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0025", "maximum_absolute_stress_pa": 324242155.20835173, "maximum_equivalent_strain": 0.011557960839299206, "maximum_peeq": 0.051052790458966345, "maximum_yield_surface_relative_residual": 1.5237501689365933e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 210, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0025", "split": "sealed_test_v1"}
|
| 27 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0026", "maximum_absolute_stress_pa": 333450937.0107253, "maximum_equivalent_strain": 0.010724203439293421, "maximum_peeq": 0.042922988643473096, "maximum_yield_surface_relative_residual": 1.464315823146275e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 208, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0026", "split": "sealed_test_v1"}
|
| 28 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0027", "maximum_absolute_stress_pa": 332165315.6164376, "maximum_equivalent_strain": 0.012651279818469635, "maximum_peeq": 0.05382132982665842, "maximum_yield_surface_relative_residual": 1.5614713941301618e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 200, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0027", "split": "sealed_test_v1"}
|
| 29 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0028", "maximum_absolute_stress_pa": 285514174.31346965, "maximum_equivalent_strain": 0.01047159559327713, "maximum_peeq": 0.047551815196666056, "maximum_yield_surface_relative_residual": 1.4482225690569196e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 198, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0028", "split": "sealed_test_v1"}
|
| 30 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0029", "maximum_absolute_stress_pa": 288180251.19360256, "maximum_equivalent_strain": 0.012950876818239284, "maximum_peeq": 0.05299141343299179, "maximum_yield_surface_relative_residual": 1.5619822910853793e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 207, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0029", "split": "sealed_test_v1"}
|
| 31 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0030", "maximum_absolute_stress_pa": 195861699.8579425, "maximum_equivalent_strain": 0.004920035117103572, "maximum_peeq": 0.021027311394997035, "maximum_yield_surface_relative_residual": 1.3519184929983956e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 158, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0030", "split": "sealed_test_v1"}
|
| 32 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0031", "maximum_absolute_stress_pa": 310566139.4934182, "maximum_equivalent_strain": 0.010522742878744789, "maximum_peeq": 0.047501409500271576, "maximum_yield_surface_relative_residual": 1.47208571434021e-11, "path_family": "sealed_smooth_deviatoric_spline", "plastic_step_count": 206, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0031", "split": "sealed_test_v1"}
|
| 33 |
+
{"all_finite": true, "cohort": "global_path_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0032", "maximum_absolute_stress_pa": 995098248.1476072, "maximum_equivalent_strain": 0.007804182374109755, "maximum_peeq": 0.0387433659306876, "maximum_yield_surface_relative_residual": 1.5889533928462437e-11, "path_family": "sealed_rounded_multiaxial_polygon", "plastic_step_count": 236, "points": 241, "role": "sealed_test", "sample_id": "denim-sealed-v1-0032", "split": "sealed_test_v1"}
|
| 34 |
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| 114 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0113", "maximum_absolute_stress_pa": 1257014286.2189178, "maximum_equivalent_strain": 0.014649549468606818, "maximum_peeq": 0.05423111713054534, "maximum_yield_surface_relative_residual": 1.4509473528180804e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 278, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0113", "split": "sealed_test_v1"}
|
| 115 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0114", "maximum_absolute_stress_pa": 952606408.0615753, "maximum_equivalent_strain": 0.015149191163832058, "maximum_peeq": 0.09057484306203036, "maximum_yield_surface_relative_residual": 4.173346928187779e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0114", "split": "sealed_test_v1"}
|
| 116 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0115", "maximum_absolute_stress_pa": 1296060483.8624787, "maximum_equivalent_strain": 0.015199391233066753, "maximum_peeq": 0.056663167595281685, "maximum_yield_surface_relative_residual": 1.4527993542807442e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 281, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0115", "split": "sealed_test_v1"}
|
| 117 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0116", "maximum_absolute_stress_pa": 947826678.8271102, "maximum_equivalent_strain": 0.015182869186771341, "maximum_peeq": 0.09125932458747761, "maximum_yield_surface_relative_residual": 1.659670046397618e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0116", "split": "sealed_test_v1"}
|
| 118 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0117", "maximum_absolute_stress_pa": 1281017666.7433083, "maximum_equivalent_strain": 0.014987345674227387, "maximum_peeq": 0.055724394188754356, "maximum_yield_surface_relative_residual": 1.494927065713065e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 278, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0117", "split": "sealed_test_v1"}
|
| 119 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0118", "maximum_absolute_stress_pa": 1003950563.3347223, "maximum_equivalent_strain": 0.01538421751111012, "maximum_peeq": 0.09148522615916477, "maximum_yield_surface_relative_residual": 3.693018640790667e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0118", "split": "sealed_test_v1"}
|
| 120 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0119", "maximum_absolute_stress_pa": 1314677389.7231865, "maximum_equivalent_strain": 0.015462187308815616, "maximum_peeq": 0.057827936158392754, "maximum_yield_surface_relative_residual": 1.50395291192191e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 281, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0119", "split": "sealed_test_v1"}
|
| 121 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0120", "maximum_absolute_stress_pa": 920107437.5031269, "maximum_equivalent_strain": 0.014707594867995834, "maximum_peeq": 0.08820853552578711, "maximum_yield_surface_relative_residual": 1.7858403069632393e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0120", "split": "sealed_test_v1"}
|
| 122 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0121", "maximum_absolute_stress_pa": 1272872201.311994, "maximum_equivalent_strain": 0.014872638366311681, "maximum_peeq": 0.05521708784640865, "maximum_yield_surface_relative_residual": 1.498056309563773e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 278, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0121", "split": "sealed_test_v1"}
|
| 123 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0122", "maximum_absolute_stress_pa": 913903203.3905361, "maximum_equivalent_strain": 0.014626106780294334, "maximum_peeq": 0.08784350003900912, "maximum_yield_surface_relative_residual": 3.9452952998025076e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0122", "split": "sealed_test_v1"}
|
| 124 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0123", "maximum_absolute_stress_pa": 1271126636.7923987, "maximum_equivalent_strain": 0.014848067021610612, "maximum_peeq": 0.055108448610205675, "maximum_yield_surface_relative_residual": 1.4937349728175572e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 278, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0123", "split": "sealed_test_v1"}
|
| 125 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0124", "maximum_absolute_stress_pa": 921722395.3217319, "maximum_equivalent_strain": 0.014853179886632177, "maximum_peeq": 0.08937614996319469, "maximum_yield_surface_relative_residual": 1.645620380129133e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0124", "split": "sealed_test_v1"}
|
| 126 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0125", "maximum_absolute_stress_pa": 1274427518.9208868, "maximum_equivalent_strain": 0.014894534779529683, "maximum_peeq": 0.05531390924029111, "maximum_yield_surface_relative_residual": 1.4916488102504186e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 278, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0125", "split": "sealed_test_v1"}
|
| 127 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0126", "maximum_absolute_stress_pa": 909467599.1708863, "maximum_equivalent_strain": 0.014548500449748786, "maximum_peeq": 0.08638661797684857, "maximum_yield_surface_relative_residual": 4.153358084814889e-11, "path_family": "sealed_biased_rosette_overload", "plastic_step_count": 321, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0126", "split": "sealed_test_v1"}
|
| 128 |
+
{"all_finite": true, "cohort": "amplitude_mean_ood", "cycle_count": 1, "group_id": "denim-sealed-v1-0127", "maximum_absolute_stress_pa": 1236031181.3658056, "maximum_equivalent_strain": 0.014354825830452361, "maximum_peeq": 0.05292987606466692, "maximum_yield_surface_relative_residual": 1.4267010348183767e-11, "path_family": "sealed_mean_shift_reversal", "plastic_step_count": 278, "points": 321, "role": "sealed_test", "sample_id": "denim-sealed-v1-0127", "split": "sealed_test_v1"}
|
data/t2_denim_sealed_test_v1/manifest.json
ADDED
|
@@ -0,0 +1,41 @@
|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cohort_counts": {
|
| 3 |
+
"amplitude_mean_ood": 32,
|
| 4 |
+
"global_path_ood": 64,
|
| 5 |
+
"horizon_ood": 32
|
| 6 |
+
},
|
| 7 |
+
"complete_release": true,
|
| 8 |
+
"config_sha256": "40a293513a8e5c897d8b82195495db277d13f7d01b838f07da5a165b36f07c3e",
|
| 9 |
+
"data_sha256": "0325dfe3b0ed6f20312e6572019b728ace3c544eb1be2997f225c3b046d7bbd4",
|
| 10 |
+
"frozen_model": {
|
| 11 |
+
"repository": "HaomingLuo/AgentFEM-DENIM",
|
| 12 |
+
"revision": "6d14b48ff0c1178a20f2bfec87fec6b86ab786ce",
|
| 13 |
+
"tag": "v2.2.0-capability-validated",
|
| 14 |
+
"weights_sha256": "d7b848f41aa46616c76c5f0db536d8ecfbc508a5375faa3cbbcc555fb062633b"
|
| 15 |
+
},
|
| 16 |
+
"generation_seconds": 28.80978687503375,
|
| 17 |
+
"index_csv_sha256": "70d982159f9a28bfd300449d672dd8085507617e6802573779138a9ea09c9f39",
|
| 18 |
+
"index_jsonl_sha256": "479e9999d2d96498ab8ed68866879c48b4eedc3e5334a7a0b9272da9b8a3ec5d",
|
| 19 |
+
"path_family_counts": {
|
| 20 |
+
"sealed_biased_rosette_overload": 16,
|
| 21 |
+
"sealed_chirped_six_component_rosette": 16,
|
| 22 |
+
"sealed_mean_shift_reversal": 16,
|
| 23 |
+
"sealed_modulated_rotating_cycles": 16,
|
| 24 |
+
"sealed_nested_minor_cycles": 16,
|
| 25 |
+
"sealed_nested_nonperiodic_minor_loops": 16,
|
| 26 |
+
"sealed_rounded_multiaxial_polygon": 16,
|
| 27 |
+
"sealed_smooth_deviatoric_spline": 16
|
| 28 |
+
},
|
| 29 |
+
"point_count": 92928,
|
| 30 |
+
"quality": {
|
| 31 |
+
"all_finite_failures": 0,
|
| 32 |
+
"maximum_peeq": 0.09326958237180286,
|
| 33 |
+
"maximum_reference_yield_residual": 5.420574120112828e-11,
|
| 34 |
+
"minimum_plastic_step_count": 94
|
| 35 |
+
},
|
| 36 |
+
"role": "sealed_test",
|
| 37 |
+
"sample_count": 128,
|
| 38 |
+
"schema": "agentfem.physics-data.denim-sealed-test",
|
| 39 |
+
"schema_version": "1.0.0",
|
| 40 |
+
"sealed_protocol": "Model weights/configuration were frozen before generation. No sealed trajectory is eligible for training, validation, checkpoint selection, or redesign."
|
| 41 |
+
}
|
src/audit_t2_denim_dataset_protocol.py
ADDED
|
@@ -0,0 +1,89 @@
|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Machine-readable split, overlap, and sealed-test audit for DENIM data."""
|
| 2 |
+
|
| 3 |
+
from __future__ import annotations
|
| 4 |
+
|
| 5 |
+
import hashlib
|
| 6 |
+
import json
|
| 7 |
+
from collections import Counter, defaultdict
|
| 8 |
+
from pathlib import Path
|
| 9 |
+
|
| 10 |
+
import numpy as np
|
| 11 |
+
|
| 12 |
+
from src.evaluate_t2_denim_sealed_test_v1 import load_trajectories as load_sealed
|
| 13 |
+
from src.train_t2_denim_capability_model_v4 import load_v4_trajectories
|
| 14 |
+
from src.train_t2_denim_conditional_v2 import load_all_trajectories
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
ROOT = Path(__file__).resolve().parents[1]
|
| 18 |
+
OUTPUT = ROOT / "artifacts" / "t2_denim_protocol_audit_v1.json"
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
def _hash(*arrays: np.ndarray) -> str:
|
| 22 |
+
digest = hashlib.sha256()
|
| 23 |
+
for value in arrays:
|
| 24 |
+
selected = np.ascontiguousarray(value)
|
| 25 |
+
digest.update(str(selected.shape).encode())
|
| 26 |
+
digest.update(selected.view(np.uint8))
|
| 27 |
+
return digest.hexdigest()
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
def run() -> dict[str, object]:
|
| 31 |
+
old = load_all_trajectories()
|
| 32 |
+
new, _ = load_v4_trajectories()
|
| 33 |
+
sealed, _ = load_sealed()
|
| 34 |
+
all_items = old + new + sealed
|
| 35 |
+
role_counts = Counter(item.role for item in all_items)
|
| 36 |
+
role_families: dict[str, set[str]] = defaultdict(set)
|
| 37 |
+
full_input_roles: dict[str, set[str]] = defaultdict(set)
|
| 38 |
+
input_target_roles: dict[str, set[str]] = defaultdict(set)
|
| 39 |
+
strain_roles: dict[str, set[str]] = defaultdict(set)
|
| 40 |
+
for item in all_items:
|
| 41 |
+
role_families[item.role].add(item.family)
|
| 42 |
+
descriptors = np.concatenate((item.descriptor.numpy(), np.asarray((item.young, item.poisson, item.yield_stress))))
|
| 43 |
+
full_input_roles[_hash(item.strain.numpy(), descriptors)].add(item.role)
|
| 44 |
+
input_target_roles[_hash(item.strain.numpy(), descriptors, item.stress.numpy())].add(item.role)
|
| 45 |
+
strain_roles[_hash(item.strain.numpy())].add(item.role)
|
| 46 |
+
|
| 47 |
+
def collisions(values: dict[str, set[str]]) -> int:
|
| 48 |
+
return sum(len(roles) > 1 for roles in values.values())
|
| 49 |
+
|
| 50 |
+
training_families = role_families["train"]
|
| 51 |
+
report = {
|
| 52 |
+
"schema": "agentfem.denim-ml-protocol-audit.v1",
|
| 53 |
+
"trajectory_count": len(all_items),
|
| 54 |
+
"role_counts": dict(sorted(role_counts.items())),
|
| 55 |
+
"exact_cross_role_collisions": {
|
| 56 |
+
"model_input_plus_target": collisions(input_target_roles),
|
| 57 |
+
"full_model_input": collisions(full_input_roles),
|
| 58 |
+
"strain_only": collisions(strain_roles),
|
| 59 |
+
},
|
| 60 |
+
"family_overlap_with_training": {
|
| 61 |
+
role: sorted(families & training_families) for role, families in sorted(role_families.items())
|
| 62 |
+
},
|
| 63 |
+
"sealed_test": {
|
| 64 |
+
"trajectory_count": len(sealed),
|
| 65 |
+
"family_count": len(role_families["sealed_test"]),
|
| 66 |
+
"families": sorted(role_families["sealed_test"]),
|
| 67 |
+
"family_overlap_with_training": sorted(role_families["sealed_test"] & training_families),
|
| 68 |
+
"eligible_for_training_or_selection": False,
|
| 69 |
+
},
|
| 70 |
+
"interpretation": {
|
| 71 |
+
"strain_only_collisions": "Expected transfer pairs can share strain histories across different material descriptors and targets; they are not direct input/target leakage.",
|
| 72 |
+
"existing_test_policy": "The 1,349 pre-existing test trajectories are development benchmarks because prior aggregate results informed later model design.",
|
| 73 |
+
"sealed_policy": "sealed_test_v1 is the first prospective frozen-model test and must never be reused for training or checkpoint selection.",
|
| 74 |
+
},
|
| 75 |
+
}
|
| 76 |
+
report["passed"] = bool(
|
| 77 |
+
report["exact_cross_role_collisions"]["model_input_plus_target"] == 0
|
| 78 |
+
and report["exact_cross_role_collisions"]["full_model_input"] == 0
|
| 79 |
+
and not report["sealed_test"]["family_overlap_with_training"]
|
| 80 |
+
and len(sealed) == 128
|
| 81 |
+
)
|
| 82 |
+
OUTPUT.parent.mkdir(parents=True, exist_ok=True)
|
| 83 |
+
OUTPUT.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8")
|
| 84 |
+
print(json.dumps(report, indent=2, sort_keys=True))
|
| 85 |
+
return report
|
| 86 |
+
|
| 87 |
+
|
| 88 |
+
if __name__ == "__main__":
|
| 89 |
+
run()
|
src/generate_t2_denim_sealed_test_v1.py
ADDED
|
@@ -0,0 +1,361 @@
|
|
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|
|
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|
| 1 |
+
"""Generate the prospectively sealed 128-trajectory DENIM test set.
|
| 2 |
+
|
| 3 |
+
The design is intentionally small and hard: globally new path shapes, 150--200
|
| 4 |
+
cycle histories, and high-amplitude/biased histories. Generation is fully
|
| 5 |
+
deterministic and records the frozen model identity before any evaluation.
|
| 6 |
+
"""
|
| 7 |
+
|
| 8 |
+
from __future__ import annotations
|
| 9 |
+
|
| 10 |
+
import argparse
|
| 11 |
+
import csv
|
| 12 |
+
import hashlib
|
| 13 |
+
import json
|
| 14 |
+
import math
|
| 15 |
+
import os
|
| 16 |
+
import time
|
| 17 |
+
from collections import Counter
|
| 18 |
+
from pathlib import Path
|
| 19 |
+
|
| 20 |
+
import h5py
|
| 21 |
+
import numpy as np
|
| 22 |
+
|
| 23 |
+
from src.generate_t2_denim_boundary_v1 import quality as boundary_quality
|
| 24 |
+
from src.generate_t2_denim_capability_v4 import (
|
| 25 |
+
_equivalent_strain,
|
| 26 |
+
_integrate_reference,
|
| 27 |
+
_scale_history,
|
| 28 |
+
_symmetric_from_voigt,
|
| 29 |
+
)
|
| 30 |
+
from src.generate_t2_graybox_closure import MATERIAL
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
ROOT = Path(__file__).resolve().parents[1]
|
| 34 |
+
CONFIG_PATH = ROOT / "configs" / "t2_denim_sealed_test_v1.json"
|
| 35 |
+
DATA_DIR = ROOT / "data" / "t2_denim_sealed_test_v1"
|
| 36 |
+
DATA_PATH = DATA_DIR / "cohort.h5"
|
| 37 |
+
INDEX_PATH = DATA_DIR / "index.jsonl"
|
| 38 |
+
INDEX_CSV_PATH = DATA_DIR / "index.csv"
|
| 39 |
+
MANIFEST_PATH = DATA_DIR / "manifest.json"
|
| 40 |
+
WEIGHTS_PATH = ROOT / "models" / "t2_denim_capability_model_v4" / "weights.safetensors"
|
| 41 |
+
|
| 42 |
+
PATH_FAMILIES = (
|
| 43 |
+
"sealed_chirped_six_component_rosette",
|
| 44 |
+
"sealed_smooth_deviatoric_spline",
|
| 45 |
+
"sealed_rounded_multiaxial_polygon",
|
| 46 |
+
"sealed_nested_nonperiodic_minor_loops",
|
| 47 |
+
)
|
| 48 |
+
HORIZON_FAMILIES = (
|
| 49 |
+
"sealed_modulated_rotating_cycles",
|
| 50 |
+
"sealed_nested_minor_cycles",
|
| 51 |
+
)
|
| 52 |
+
AMPLITUDE_FAMILIES = (
|
| 53 |
+
"sealed_biased_rosette_overload",
|
| 54 |
+
"sealed_mean_shift_reversal",
|
| 55 |
+
)
|
| 56 |
+
|
| 57 |
+
|
| 58 |
+
def _sha256(path: Path) -> str:
|
| 59 |
+
digest = hashlib.sha256()
|
| 60 |
+
with path.open("rb") as handle:
|
| 61 |
+
for block in iter(lambda: handle.read(1024 * 1024), b""):
|
| 62 |
+
digest.update(block)
|
| 63 |
+
return digest.hexdigest()
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
def _write_json(path: Path, value: object) -> None:
|
| 67 |
+
path.parent.mkdir(parents=True, exist_ok=True)
|
| 68 |
+
temporary = path.with_suffix(path.suffix + ".tmp")
|
| 69 |
+
temporary.write_text(json.dumps(value, indent=2, sort_keys=True) + "\n", encoding="utf-8")
|
| 70 |
+
os.replace(temporary, path)
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
def load_config() -> dict[str, object]:
|
| 74 |
+
return json.loads(CONFIG_PATH.read_text(encoding="utf-8"))
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
def _polyline(anchors: np.ndarray, count: int) -> np.ndarray:
|
| 78 |
+
anchors = np.asarray(anchors, dtype=float)
|
| 79 |
+
distance = np.linalg.norm(np.diff(anchors, axis=0), axis=1)
|
| 80 |
+
coordinate = np.concatenate(([0.0], np.cumsum(distance)))
|
| 81 |
+
target = np.linspace(0.0, coordinate[-1], count)
|
| 82 |
+
return np.column_stack(
|
| 83 |
+
[np.interp(target, coordinate, anchors[:, column]) for column in range(anchors.shape[1])]
|
| 84 |
+
)
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
def design(seed: int = 20261017) -> list[dict[str, object]]:
|
| 88 |
+
rng = np.random.default_rng(seed)
|
| 89 |
+
rows: list[dict[str, object]] = []
|
| 90 |
+
|
| 91 |
+
def add(cohort: str, family: str, *, points: int, cycles: int, amplitude: float) -> None:
|
| 92 |
+
index = len(rows)
|
| 93 |
+
rows.append(
|
| 94 |
+
{
|
| 95 |
+
**MATERIAL,
|
| 96 |
+
"case_id": f"denim-sealed-v1-{index:04d}",
|
| 97 |
+
"material_model": "hidden_three_memory_tabulated_hardening",
|
| 98 |
+
"cohort": cohort,
|
| 99 |
+
"split": "sealed_test_v1",
|
| 100 |
+
"role": "sealed_test",
|
| 101 |
+
"group_id": f"denim-sealed-v1-{index:04d}",
|
| 102 |
+
"path_family": family,
|
| 103 |
+
"path_seed": int(seed + index * 982451653),
|
| 104 |
+
"path_shape_a": float(rng.random()),
|
| 105 |
+
"path_shape_b": float(rng.random()),
|
| 106 |
+
"path_shape_c": float(rng.random()),
|
| 107 |
+
"maximum_equivalent_strain": float(amplitude),
|
| 108 |
+
"points": int(points),
|
| 109 |
+
"cycle_count": int(cycles),
|
| 110 |
+
"observation_protocol": "clean_blind",
|
| 111 |
+
}
|
| 112 |
+
)
|
| 113 |
+
|
| 114 |
+
for family in PATH_FAMILIES:
|
| 115 |
+
for _ in range(16):
|
| 116 |
+
add("global_path_ood", family, points=241, cycles=1, amplitude=rng.uniform(0.004, 0.013))
|
| 117 |
+
for local in range(32):
|
| 118 |
+
cycles = 150 if local < 16 else 200
|
| 119 |
+
family = HORIZON_FAMILIES[local % len(HORIZON_FAMILIES)]
|
| 120 |
+
# Keep the 150/200-cycle histories within the reference hardening
|
| 121 |
+
# table's calibrated accumulated-plastic-strain range (PEEQ <= 0.10).
|
| 122 |
+
add("horizon_ood", family, points=cycles * 12 + 1, cycles=cycles, amplitude=rng.uniform(0.00151, 0.00161))
|
| 123 |
+
for local in range(32):
|
| 124 |
+
add(
|
| 125 |
+
"amplitude_mean_ood",
|
| 126 |
+
AMPLITUDE_FAMILIES[local % len(AMPLITUDE_FAMILIES)],
|
| 127 |
+
points=321,
|
| 128 |
+
cycles=1,
|
| 129 |
+
amplitude=rng.uniform(0.0142, 0.0155),
|
| 130 |
+
)
|
| 131 |
+
if len(rows) != 128:
|
| 132 |
+
raise RuntimeError(f"Expected 128 sealed trajectories, got {len(rows)}")
|
| 133 |
+
return rows
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
def _global_path(row: dict[str, object]) -> np.ndarray:
|
| 137 |
+
count = int(row["points"])
|
| 138 |
+
t = np.linspace(0.0, 1.0, count)
|
| 139 |
+
phase = 2.0 * np.pi * t
|
| 140 |
+
family = str(row["path_family"])
|
| 141 |
+
a, b, c = (float(row[f"path_shape_{key}"]) for key in "abc")
|
| 142 |
+
rng = np.random.default_rng(int(row["path_seed"]))
|
| 143 |
+
if family == PATH_FAMILIES[0]:
|
| 144 |
+
chirp = 2.0 * np.pi * (t + (0.30 + 0.30 * a) * t * t)
|
| 145 |
+
values = np.column_stack(
|
| 146 |
+
(
|
| 147 |
+
np.sin(chirp),
|
| 148 |
+
-0.55 * np.sin(chirp + 0.4 + b),
|
| 149 |
+
0.35 * np.sin(0.5 * chirp + c),
|
| 150 |
+
0.60 * np.sin(1.7 * chirp + 0.2),
|
| 151 |
+
0.35 * np.sin(2.3 * chirp + 0.7),
|
| 152 |
+
0.25 * np.sin(0.8 * chirp + 1.1),
|
| 153 |
+
)
|
| 154 |
+
)
|
| 155 |
+
elif family == PATH_FAMILIES[1]:
|
| 156 |
+
knots = rng.normal(size=(8, 6))
|
| 157 |
+
knots[:, :3] -= knots[:, :3].mean(axis=1, keepdims=True)
|
| 158 |
+
knots[0] = knots[-1] = 0.0
|
| 159 |
+
raw = _polyline(knots, count)
|
| 160 |
+
kernel = np.asarray((1, 4, 6, 4, 1), dtype=float) / 16.0
|
| 161 |
+
values = np.column_stack(
|
| 162 |
+
[np.convolve(np.pad(raw[:, j], (2, 2), mode="edge"), kernel, mode="valid") for j in range(6)]
|
| 163 |
+
)
|
| 164 |
+
elif family == PATH_FAMILIES[2]:
|
| 165 |
+
values = np.column_stack(
|
| 166 |
+
(
|
| 167 |
+
np.tanh(2.2 * np.sin(phase)),
|
| 168 |
+
-0.6 * np.tanh(2.0 * np.sin(phase + 0.8)),
|
| 169 |
+
-0.4 * np.tanh(1.8 * np.sin(phase - 0.5)),
|
| 170 |
+
0.6 * np.tanh(2.1 * np.sin(2.0 * phase + a)),
|
| 171 |
+
0.3 * np.sin(3.0 * phase + b),
|
| 172 |
+
0.25 * np.sin(5.0 * phase + c),
|
| 173 |
+
)
|
| 174 |
+
)
|
| 175 |
+
values -= values[:1]
|
| 176 |
+
values -= t[:, None] * values[-1:]
|
| 177 |
+
elif family == PATH_FAMILIES[3]:
|
| 178 |
+
anchors = np.asarray(
|
| 179 |
+
(
|
| 180 |
+
(0, 0, 0, 0, 0, 0), (1, -0.4, -0.2, 0.5, 0, 0),
|
| 181 |
+
(0.25, -0.1, 0.05, 0.15, 0.25, 0), (0.75, -0.3, -0.1, 0.45, -0.2, 0.2),
|
| 182 |
+
(-0.65, 0.35, 0.1, -0.5, 0.25, -0.2), (-0.1, 0.05, 0, -0.1, 0, 0.15),
|
| 183 |
+
(-0.9, 0.5, 0.2, -0.6, -0.2, -0.25), (0, 0, 0, 0, 0, 0),
|
| 184 |
+
), dtype=float,
|
| 185 |
+
)
|
| 186 |
+
values = _polyline(anchors, count)
|
| 187 |
+
else:
|
| 188 |
+
raise ValueError(f"Unknown global sealed family: {family}")
|
| 189 |
+
return _scale_history(_symmetric_from_voigt(values), float(row["maximum_equivalent_strain"]))
|
| 190 |
+
|
| 191 |
+
|
| 192 |
+
def _horizon_path(row: dict[str, object]) -> np.ndarray:
|
| 193 |
+
count, cycles = int(row["points"]), int(row["cycle_count"])
|
| 194 |
+
t = np.linspace(0.0, float(cycles), count)
|
| 195 |
+
phase = 2.0 * np.pi * t
|
| 196 |
+
slow = 2.0 * np.pi * t / max(cycles, 1)
|
| 197 |
+
a, b = float(row["path_shape_a"]), float(row["path_shape_b"])
|
| 198 |
+
if str(row["path_family"]) == HORIZON_FAMILIES[0]:
|
| 199 |
+
values = np.column_stack(
|
| 200 |
+
(
|
| 201 |
+
np.sin(phase), -0.45 * np.sin(phase + 0.4 * np.sin(slow)),
|
| 202 |
+
-0.25 * np.sin(phase - 0.3 * np.cos(slow)),
|
| 203 |
+
(0.35 + 0.15 * np.sin(slow)) * np.sin(phase + 0.5 + a),
|
| 204 |
+
0.22 * np.sin(phase + slow + b), 0.18 * np.sin(2.0 * phase - slow),
|
| 205 |
+
)
|
| 206 |
+
)
|
| 207 |
+
else:
|
| 208 |
+
carrier = np.sin(phase)
|
| 209 |
+
minor = 0.32 * np.sin(3.0 * phase + 0.7) * (0.5 + 0.5 * np.sin(slow) ** 2)
|
| 210 |
+
values = np.column_stack(
|
| 211 |
+
(carrier + minor, -0.48 * carrier, -0.20 * carrier, 0.42 * np.sin(phase + slow),
|
| 212 |
+
0.20 * np.sin(2.0 * phase + a), 0.15 * np.sin(5.0 * phase + b))
|
| 213 |
+
)
|
| 214 |
+
return _scale_history(_symmetric_from_voigt(values), float(row["maximum_equivalent_strain"]))
|
| 215 |
+
|
| 216 |
+
|
| 217 |
+
def _amplitude_path(row: dict[str, object]) -> np.ndarray:
|
| 218 |
+
count = int(row["points"])
|
| 219 |
+
t = np.linspace(0.0, 1.0, count)
|
| 220 |
+
phase = 2.0 * np.pi * t
|
| 221 |
+
a, b = float(row["path_shape_a"]), float(row["path_shape_b"])
|
| 222 |
+
envelope = np.sin(np.pi * t) ** 2
|
| 223 |
+
if str(row["path_family"]) == AMPLITUDE_FAMILIES[0]:
|
| 224 |
+
values = np.column_stack(
|
| 225 |
+
(np.sin(phase) + 0.55 * envelope, -0.55 * np.sin(phase + 0.8) - 0.25 * envelope,
|
| 226 |
+
-0.25 * np.sin(phase - 0.3) - 0.30 * envelope, 0.7 * np.sin(2 * phase + a),
|
| 227 |
+
0.35 * np.sin(3 * phase + b), 0.2 * np.sin(phase + 1.2))
|
| 228 |
+
)
|
| 229 |
+
else:
|
| 230 |
+
anchors = np.asarray(
|
| 231 |
+
((0, 0, 0, 0, 0, 0), (1.4, -0.6, -0.3, 0.5, 0, 0),
|
| 232 |
+
(0.4, -0.2, 0, 0.15, 0.35, 0), (-1.0, 0.6, 0.2, -0.55, 0, 0.3),
|
| 233 |
+
(0.7, -0.1, -0.5, 0.35, -0.25, -0.2), (0, 0, 0, 0, 0, 0)), dtype=float)
|
| 234 |
+
values = _polyline(anchors, count)
|
| 235 |
+
return _scale_history(_symmetric_from_voigt(values), float(row["maximum_equivalent_strain"]))
|
| 236 |
+
|
| 237 |
+
|
| 238 |
+
def solve_row(row: dict[str, object]) -> tuple[dict[str, np.ndarray], dict[str, float | bool]]:
|
| 239 |
+
cohort = str(row["cohort"])
|
| 240 |
+
strains = _global_path(row) if cohort == "global_path_ood" else _horizon_path(row) if cohort == "horizon_ood" else _amplitude_path(row)
|
| 241 |
+
arrays = _integrate_reference(strains)
|
| 242 |
+
metrics = boundary_quality(arrays)
|
| 243 |
+
metrics["maximum_equivalent_total_strain"] = float(np.max(_equivalent_strain(strains)))
|
| 244 |
+
metrics["trajectory_point_count"] = int(len(strains))
|
| 245 |
+
metrics["plastic_step_count"] = int(np.count_nonzero(arrays["plastic_increment"] > 1.0e-12))
|
| 246 |
+
return arrays, metrics
|
| 247 |
+
|
| 248 |
+
|
| 249 |
+
def generate(*, force: bool = False) -> dict[str, object]:
|
| 250 |
+
config = load_config()
|
| 251 |
+
expected_hash = str(config["frozen_model"]["weights_sha256"])
|
| 252 |
+
actual_hash = _sha256(WEIGHTS_PATH)
|
| 253 |
+
if actual_hash != expected_hash:
|
| 254 |
+
raise RuntimeError(f"Frozen model hash changed: {actual_hash} != {expected_hash}")
|
| 255 |
+
rows = design(int(config["seed"]))
|
| 256 |
+
DATA_DIR.mkdir(parents=True, exist_ok=True)
|
| 257 |
+
if DATA_PATH.exists() and not force:
|
| 258 |
+
raise FileExistsError(f"{DATA_PATH} exists; pass --force to regenerate deterministically")
|
| 259 |
+
temporary = DATA_PATH.with_suffix(".h5.tmp")
|
| 260 |
+
records: list[dict[str, object]] = []
|
| 261 |
+
started = time.perf_counter()
|
| 262 |
+
with h5py.File(temporary, "w") as h5:
|
| 263 |
+
h5.attrs["schema"] = str(config["schema"])
|
| 264 |
+
h5.attrs["schema_version"] = str(config["schema_version"])
|
| 265 |
+
h5.attrs["material_json"] = json.dumps(MATERIAL, sort_keys=True)
|
| 266 |
+
h5.attrs["frozen_model_json"] = json.dumps(config["frozen_model"], sort_keys=True)
|
| 267 |
+
for index, row in enumerate(rows):
|
| 268 |
+
arrays, metrics = solve_row(row)
|
| 269 |
+
if not bool(metrics["all_finite"]):
|
| 270 |
+
raise RuntimeError(f"Non-finite sealed trajectory {index}")
|
| 271 |
+
if float(metrics["minimum_peeq_increment"]) < -1.0e-12:
|
| 272 |
+
raise RuntimeError(f"PEEQ decreased in sealed trajectory {index}")
|
| 273 |
+
if float(metrics["maximum_yield_surface_relative_residual"]) > 1.0e-8:
|
| 274 |
+
raise RuntimeError(f"Reference yield residual failed in sealed trajectory {index}")
|
| 275 |
+
if float(metrics["maximum_peeq"]) > float(config["applicability_guardrails"]["maximum_accumulated_equivalent_plastic_strain"]):
|
| 276 |
+
raise RuntimeError(
|
| 277 |
+
f"PEEQ applicability guardrail failed in sealed trajectory {index}: "
|
| 278 |
+
f"{float(metrics['maximum_peeq']):.6g}"
|
| 279 |
+
)
|
| 280 |
+
group = h5.create_group(f"{index:04d}")
|
| 281 |
+
for key in ("case_id", "cohort", "split", "role", "group_id", "path_family", "observation_protocol"):
|
| 282 |
+
group.attrs[key] = str(row[key])
|
| 283 |
+
group.attrs["points"] = int(row["points"])
|
| 284 |
+
group.attrs["cycle_count"] = int(row["cycle_count"])
|
| 285 |
+
group.attrs["parameters_json"] = json.dumps(row, sort_keys=True)
|
| 286 |
+
group.attrs["quality_json"] = json.dumps(metrics, sort_keys=True)
|
| 287 |
+
for name, value in arrays.items():
|
| 288 |
+
group.create_dataset(name, data=value, compression="gzip", shuffle=True)
|
| 289 |
+
records.append(
|
| 290 |
+
{
|
| 291 |
+
"sample_id": row["case_id"], "cohort": row["cohort"], "split": row["split"],
|
| 292 |
+
"role": row["role"], "group_id": row["group_id"], "path_family": row["path_family"],
|
| 293 |
+
"points": row["points"], "cycle_count": row["cycle_count"],
|
| 294 |
+
"maximum_equivalent_strain": row["maximum_equivalent_strain"],
|
| 295 |
+
"maximum_peeq": metrics["maximum_peeq"], "plastic_step_count": metrics["plastic_step_count"],
|
| 296 |
+
"maximum_absolute_stress_pa": metrics["maximum_absolute_stress_pa"],
|
| 297 |
+
"maximum_yield_surface_relative_residual": metrics["maximum_yield_surface_relative_residual"],
|
| 298 |
+
"all_finite": metrics["all_finite"],
|
| 299 |
+
}
|
| 300 |
+
)
|
| 301 |
+
if (index + 1) % 16 == 0:
|
| 302 |
+
print(f"generated {index + 1}/128", flush=True)
|
| 303 |
+
os.replace(temporary, DATA_PATH)
|
| 304 |
+
INDEX_PATH.write_text("".join(json.dumps(x, sort_keys=True) + "\n" for x in records), encoding="utf-8")
|
| 305 |
+
with INDEX_CSV_PATH.open("w", newline="", encoding="utf-8") as handle:
|
| 306 |
+
writer = csv.DictWriter(handle, fieldnames=list(records[0]))
|
| 307 |
+
writer.writeheader(); writer.writerows(records)
|
| 308 |
+
manifest = {
|
| 309 |
+
"schema": config["schema"], "schema_version": config["schema_version"],
|
| 310 |
+
"sample_count": len(records), "role": "sealed_test", "complete_release": len(records) == 128,
|
| 311 |
+
"cohort_counts": dict(sorted(Counter(str(x["cohort"]) for x in records).items())),
|
| 312 |
+
"path_family_counts": dict(sorted(Counter(str(x["path_family"]) for x in records).items())),
|
| 313 |
+
"point_count": int(sum(int(x["points"]) for x in records)),
|
| 314 |
+
"data_sha256": _sha256(DATA_PATH), "index_jsonl_sha256": _sha256(INDEX_PATH),
|
| 315 |
+
"index_csv_sha256": _sha256(INDEX_CSV_PATH), "config_sha256": _sha256(CONFIG_PATH),
|
| 316 |
+
"frozen_model": config["frozen_model"], "generation_seconds": time.perf_counter() - started,
|
| 317 |
+
"quality": {
|
| 318 |
+
"all_finite_failures": sum(not bool(x["all_finite"]) for x in records),
|
| 319 |
+
"maximum_reference_yield_residual": max(float(x["maximum_yield_surface_relative_residual"]) for x in records),
|
| 320 |
+
"maximum_peeq": max(float(x["maximum_peeq"]) for x in records),
|
| 321 |
+
"minimum_plastic_step_count": min(int(x["plastic_step_count"]) for x in records),
|
| 322 |
+
},
|
| 323 |
+
"sealed_protocol": "Model weights/configuration were frozen before generation. No sealed trajectory is eligible for training, validation, checkpoint selection, or redesign.",
|
| 324 |
+
}
|
| 325 |
+
_write_json(MANIFEST_PATH, manifest)
|
| 326 |
+
return manifest
|
| 327 |
+
|
| 328 |
+
|
| 329 |
+
def audit() -> dict[str, object]:
|
| 330 |
+
manifest = json.loads(MANIFEST_PATH.read_text(encoding="utf-8"))
|
| 331 |
+
rows = [json.loads(line) for line in INDEX_PATH.read_text(encoding="utf-8").splitlines() if line]
|
| 332 |
+
with h5py.File(DATA_PATH, "r") as h5:
|
| 333 |
+
required = ("strain", "stress_pa", "plastic_strain", "peeq", "plastic_increment", "memories_pa", "truth_memories_pa", "isotropic_radius_pa")
|
| 334 |
+
missing = [f"{g}:{f}" for g in h5 for f in required if f not in h5[g]]
|
| 335 |
+
finite = all(np.isfinite(h5[g][f][:]).all() for g in h5 for f in required if f in h5[g])
|
| 336 |
+
group_count = len(h5)
|
| 337 |
+
report = {
|
| 338 |
+
"sample_count": len(rows), "hdf5_group_count": group_count,
|
| 339 |
+
"all_roles_sealed": all(x["role"] == "sealed_test" for x in rows),
|
| 340 |
+
"cohort_counts_match": Counter(x["cohort"] for x in rows) == {"global_path_ood": 64, "horizon_ood": 32, "amplitude_mean_ood": 32},
|
| 341 |
+
"case_ids_unique": len({x["sample_id"] for x in rows}) == len(rows),
|
| 342 |
+
"missing_fields": missing, "all_finite": finite,
|
| 343 |
+
"data_hash_matches": _sha256(DATA_PATH) == manifest["data_sha256"],
|
| 344 |
+
"frozen_model_hash_matches": _sha256(WEIGHTS_PATH) == manifest["frozen_model"]["weights_sha256"],
|
| 345 |
+
}
|
| 346 |
+
report["passed"] = bool(len(rows) == 128 and group_count == 128 and all(report[k] for k in ("all_roles_sealed", "cohort_counts_match", "case_ids_unique", "all_finite", "data_hash_matches", "frozen_model_hash_matches")) and not missing)
|
| 347 |
+
_write_json(DATA_DIR / "audit.json", report)
|
| 348 |
+
return report
|
| 349 |
+
|
| 350 |
+
|
| 351 |
+
def main() -> None:
|
| 352 |
+
parser = argparse.ArgumentParser()
|
| 353 |
+
parser.add_argument("--force", action="store_true")
|
| 354 |
+
parser.add_argument("--audit-only", action="store_true")
|
| 355 |
+
args = parser.parse_args()
|
| 356 |
+
result = audit() if args.audit_only else {"generation": generate(force=args.force), "audit": audit()}
|
| 357 |
+
print(json.dumps(result, indent=2, sort_keys=True))
|
| 358 |
+
|
| 359 |
+
|
| 360 |
+
if __name__ == "__main__":
|
| 361 |
+
main()
|
tests/test_t2_denim_sealed_test_v1.py
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from collections import Counter
|
| 2 |
+
|
| 3 |
+
import numpy as np
|
| 4 |
+
|
| 5 |
+
from src.generate_t2_denim_capability_v4 import FULL_3D_FAMILIES
|
| 6 |
+
from src.generate_t2_denim_sealed_test_v1 import (
|
| 7 |
+
AMPLITUDE_FAMILIES,
|
| 8 |
+
HORIZON_FAMILIES,
|
| 9 |
+
PATH_FAMILIES,
|
| 10 |
+
design,
|
| 11 |
+
solve_row,
|
| 12 |
+
)
|
| 13 |
+
from src.t2_multiaxial_ood_v2 import PATH_FAMILIES as EXISTING_PATH_FAMILIES
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
def test_sealed_design_is_fixed_and_disjoint():
|
| 17 |
+
rows = design()
|
| 18 |
+
assert len(rows) == 128
|
| 19 |
+
assert len({row["case_id"] for row in rows}) == 128
|
| 20 |
+
assert {row["role"] for row in rows} == {"sealed_test"}
|
| 21 |
+
assert Counter(row["cohort"] for row in rows) == {
|
| 22 |
+
"global_path_ood": 64,
|
| 23 |
+
"horizon_ood": 32,
|
| 24 |
+
"amplitude_mean_ood": 32,
|
| 25 |
+
}
|
| 26 |
+
sealed = set(PATH_FAMILIES + HORIZON_FAMILIES + AMPLITUDE_FAMILIES)
|
| 27 |
+
assert sealed.isdisjoint(set(EXISTING_PATH_FAMILIES) | set(FULL_3D_FAMILIES))
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
def test_one_reference_trajectory_per_cohort_is_physical():
|
| 31 |
+
rows = design()
|
| 32 |
+
for cohort in ("global_path_ood", "horizon_ood", "amplitude_mean_ood"):
|
| 33 |
+
row = next(item for item in rows if item["cohort"] == cohort)
|
| 34 |
+
arrays, quality = solve_row(row)
|
| 35 |
+
assert all(np.isfinite(value).all() for value in arrays.values())
|
| 36 |
+
assert quality["minimum_peeq_increment"] >= -1.0e-12
|
| 37 |
+
assert quality["maximum_yield_surface_relative_residual"] <= 1.0e-8
|
| 38 |
+
assert quality["plastic_step_count"] > 0
|