{
  "reference": {
    "project": "NeoPZ",
    "url": "https://github.com/labmec/neopz",
    "revision": "4c6b6d277ce097b97bfc8dea1b6725860f4fe05a",
    "module": "Shape/TPZShapeHDiv.cpp",
    "executed": true
  },
  "method": "Fit one invertible coefficient change on 150 points, verify vectors and analytic divergences on 150 different points. No native coefficients are used by PyMHM.",
  "points_seed": 2026,
  "point_count_fit": 150,
  "point_count_validation": 150,
  "prism_reference_change": "Native z in [-1,1] is mapped to [0,1] by affine contravariant Piola.",
  "families": [
    {
      "kind": "tetra",
      "pressure_degree": 1,
      "dimension": 18,
      "rank": 18,
      "value_max_difference": 1.8290924330699454e-14,
      "divergence_max_difference": 9.85878045867139e-14,
      "native_divergence_dimension": 4,
      "native_flux_polynomial_fit_max": 4.529709940470639e-14,
      "native_divergence_fit_max": 1.7763568394002505e-14
    },
    {
      "kind": "tetra",
      "pressure_degree": 2,
      "dimension": 32,
      "rank": 32,
      "value_max_difference": 4.934941344458821e-14,
      "divergence_max_difference": 3.2862601528904634e-13,
      "native_divergence_dimension": 10,
      "native_flux_polynomial_fit_max": 9.064970996064403e-14,
      "native_divergence_fit_max": 1.2434497875801753e-13
    },
    {
      "kind": "prism",
      "pressure_degree": 1,
      "dimension": 27,
      "rank": 27,
      "value_max_difference": 6.136481598392935e-14,
      "divergence_max_difference": 2.701172618913006e-13,
      "native_divergence_dimension": 6,
      "native_flux_polynomial_fit_max": 2.0664026045835726e-14,
      "native_divergence_fit_max": 9.769962616701378e-15
    }
  ],
  "pymhm_sources": {
    "src/pymhm/hdiv3d_family.py": "29cd2993848bc6ce5bc944a7a732eae3f9f6cdcc957bf787148d92704dc01c47"
  },
  "acceptance": {
    "value_max_difference_below": 2e-11,
    "divergence_max_difference_below": 2e-10,
    "change_of_basis_full_rank": true
  },
  "execution": {
    "utc": "2026-09-29T13:28:51.577559+00:00",
    "python": "3.12.14",
    "numpy": "2.5.3",
    "scipy": "1.18.1",
    "native_executable_sha256": "57fde2bcfe13d73e6de2fffb8ac97a6cdeff107226463a316296620d8141f280",
    "native_probe_sha256": "0aa5371efccce18251d36f68910623f041cad6279b6c238dce7c5244f3d64b00",
    "reference_shape_source_sha256": "1d9d180e728c4145c60c7a5d311e3c4c15cba2d84b5d20b66d1b02c4ae98db0e",
    "source_changed_during_run": false
  }
}