{
  "snippet": "overview_hierarchy.py",
  "snippet_sha256": "971881485726543b74b99b6cd13805306ba2635523da6da9b86786a51ad5456d",
  "environment": {
    "recorded": "2026-09-20",
    "git_head": "2ca8b349f0dffccc7950535b1dec30c6abbd7af3",
    "src_differs_from_head": true,
    "src_sha256": "e9b814b881bff1a010c29a1784111a722df3b59fdb861d14a3c117968605b98e",
    "platform": "macOS-26.5-arm64-arm-64bit",
    "machine": "arm64",
    "python": "3.12.9",
    "bayesmith": "0.9.0",
    "jax": "0.11.1",
    "numpy": "2.5.2",
    "numpyro": "0.21.0",
    "blas": "accelerate",
    "jax_enable_x64": true
  },
  "plans": {
    "hierarchy": {
      "text": "block 0  {x}              GCR exact         structurally certified; numerical check 3 scales x 3 at-points (max 0.00e+00)\n         kappa in [2.2003166, 485.25358] -> tol=2.0607782e-06, guard hoisted out of the\n         sweep\n         exact block ['x']: sigma does not move with the block (0.000e+00 relative,\n         rtol=1.0e-08), so the covariance is fixed and one Wiener solve is exact; the\n         linearity check held ['sigma'] at their prior centre rather than drawing them\n         -- they are not Gaussian, so their prior has no draw this module will take; the\n         kappa sweep held ['sigma'] at their prior centre rather than moving them --\n         they are not Gaussian, so this module has no prior width to sweep them by, and\n         the interval is not an interval in them\nblock 1  {sigma, theta}   NUTS\n         outside the exact block ['x']: sampled by NUTS, and the exact block is solved\n         CONDITIONAL on them, once per sweep\nexecution: HMCGibbs(inner=NUTS, gibbs_sites=['x']); noise_std rebuilt every sweep",
      "blocks": [
        {
          "latents": [
            "x"
          ],
          "method": "gcr",
          "route": "GCR exact",
          "evidence": "structurally certified; numerical check 3 scales x 3 at-points (max 0.00e+00)",
          "refused_claim": false
        },
        {
          "latents": [
            "sigma",
            "theta"
          ],
          "method": "nuts",
          "route": "NUTS",
          "evidence": "outside the exact block ['x']: sampled by NUTS, and the exact block is solved CONDITIONAL on them, once per sweep",
          "refused_claim": false
        }
      ],
      "execution": "HMCGibbs(inner=NUTS, gibbs_sites=['x']); noise_std rebuilt every sweep"
    }
  },
  "tables": {}
}