{
  "checked_on": "2026-10-17",
  "guide": "/guides/nadac-python.html",
  "product": "nadac",
  "publication_id": "96e80affc2d29e295b214083b321c0792d594a3100c77942ed1571fdf0b86213",
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  "source_edition": "2025 NADAC",
  "source_versions": null,
  "source_snapshot_id": "e387714991b1362c743609fc64afd0378caaa65d2f06d1153a88a97da8eee24a",
  "processing_recipe": {
    "name": "nadac-preparation",
    "revision": "1",
    "settings": {
      "comparison": "adjacent_snapshots",
      "rates": "decimal_source_precision",
      "missing": "retained_not_imputed"
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    "runtime": {
      "python": "3.13.6",
      "implementation": "CPython",
      "unicode": "15.1.0",
      "zlib": "1.3.1"
    },
    "code_sha256": {
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      "artifacts.py": "88a62f022fb6d0c3b75692b6a3fc202435d4ec5b0a0f84897aa5cb0b44c83060",
      "example.py": "f560c2dad2615a22f490cce03108be73321e15385980de2c9b0854cc4db0d0a8",
      "processing.py": "4cb1389882b45d63cab17d54bed5a6d735a1974edb9ca44d508fb63f43764eae",
      "release.py": "3e0666cd988ec8ccc01f7294756587d7436ef204c18acfdf4173d9b110c00b6f",
      "schema.py": "0157cf86082507e5a8f92cdaddb3f04300a13747720c274a3463d474bb287509",
      "sources.py": "1e8fa67d8ffb584d1376f9a1f20dcf7ff893b2dd8393aff5129309e13dafd2fa"
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  },
  "packaged_at": "2026-10-17T04:54:56Z",
  "reference_rows": {
    "observations.csv": 159
  },
  "reference_selection": "All matching reference relationships for the example codes; original columns and cell values retained.",
  "input_note": "Customer records are fictional; reference records are unchanged selections from the paid release.",
  "inline_example_sha256": "f560c2dad2615a22f490cce03108be73321e15385980de2c9b0854cc4db0d0a8",
  "sample_and_full_results_equal": true,
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