{
  "schemaVersion": 1,
  "lessonId": "operations-08",
  "contentHash": "5a242aea00f1dd2f24dbfcb2bc3b6cb306416e79defc37b721a8536ad40ab193",
  "executedAt": "2026-10-20T10:51:54.787441+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Accepted original / changed artifact / expired approval / wrong target: [True, False, False, False]\nAll failed gates preserved the selected version. This fixture does not authenticate reviewers.\nAccepted original / changed artifact / expired approval / wrong target: [True, False, False, False]\nAccepted original / changed artifact / expired approval / wrong target: [True, False, False, False]\nAll failed gates preserved the selected version. This fixture does not authenticate reviewers.\nExpiry is exclusive: 199 accepted, 200 rejected.\nChanged evaluation invalidates the old approval.\nOwnership change requires renewed review.\nPASS: operations-08\n",
  "notebookCells": [
    {
      "sourceHash": "d5beac9686fce1ebc8914c4a048cebfc7909f9e93791500e20f0b0e415bf1950",
      "outputs": []
    },
    {
      "sourceHash": "9b03483943fafde8f51fb93578a53ae8360e6c074225dce75f8d5c52a38c0203",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accepted original / changed artifact / expired approval / wrong target: [True, False, False, False]\n",
            "All failed gates preserved the selected version. This fixture does not authenticate reviewers.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "becf4161f2b58c1015fee6df409b7b33c4027c71ac3ceedce17e69fa8e944219",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accepted original / changed artifact / expired approval / wrong target: [True, False, False, False]\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "75b6a06bc99c74f3b03662523bb5d4d707a9aad5b7bea6b3d1663e9ce4b57ae3",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accepted original / changed artifact / expired approval / wrong target: [True, False, False, False]\n",
            "All failed gates preserved the selected version. This fixture does not authenticate reviewers.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "8cce59b5d4ef68b8528e7a372b160bc4010df02230ef804134ae55028b7bd178",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": "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",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "f0c0f39d502b7b7e88bf1bdf2ab41a1dc783c337267f025117d80597f9308b93",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Expiry is exclusive: 199 accepted, 200 rejected.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "9e04f4fd737709c4c7ef6f7ad5bc061d47ce7a30759d5654e438347d16ce6157",
      "outputs": []
    },
    {
      "sourceHash": "be8663c6b020d08df9548abef5baa227622911309e0134c6ffec3309a975a65d",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Changed evaluation invalidates the old approval.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "7d9c480db8bfbad4d2100c3d2f8daddf5cecc5c504d3026ca57eca233275fd18",
      "outputs": []
    },
    {
      "sourceHash": "42114d23918b780e47397f6370844ce44ac1168de3b7f23f9ee8987284500f97",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ownership change requires renewed review.\n"
          ]
        }
      ]
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}