{
  "schemaVersion": 1,
  "lessonId": "operations-04",
  "contentHash": "e4af015be92bf0b2b6ccb5343222cd5de15b9dbdef7fbc0df0a5e892c717717c",
  "executedAt": "2026-10-20T10:51:39.679728+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "first / second content IDs: 810b956e3376228ff3c1f03f469feb3ab26653b488ba51271e82277672590b80 aed1378a7842598237e59c5d189b13d486068b6284d9c1ca3d4e865866ba6990\nfailed gate kept selection: True rollback restored first: True\nfirst / second content IDs: 810b956e3376228ff3c1f03f469feb3ab26653b488ba51271e82277672590b80 aed1378a7842598237e59c5d189b13d486068b6284d9c1ca3d4e865866ba6990\nfailed gate kept selection: True rollback restored first: True\nPASS: operations-04\n",
  "notebookCells": [
    {
      "sourceHash": "82dbdc57f40296c9c99a753a1715d43174177c96321b61aa76ce87bfcfdd73b1",
      "outputs": []
    },
    {
      "sourceHash": "6eb86abf8bb037a0c00eff6d8d53d5b1f2a2612d3034be238dc49292abd4f84c",
      "outputs": []
    },
    {
      "sourceHash": "3176d262fea05d86de310418a84395d675119528144fc75775df912272344051",
      "outputs": []
    },
    {
      "sourceHash": "7a923a6879fda874d660dd16d6b9caffcce4bcb68f5e54102e69e9a98bbab6e1",
      "outputs": []
    },
    {
      "sourceHash": "da906b6ad08842782d9acdf4d3cf2579d2c8a36d34da7afbc76babb64bed22ba",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "first / second content IDs: 810b956e3376228ff3c1f03f469feb3ab26653b488ba51271e82277672590b80 aed1378a7842598237e59c5d189b13d486068b6284d9c1ca3d4e865866ba6990\n",
            "failed gate kept selection: True rollback restored first: True\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "5a9fb4d65d037e7eea9c9c5659d27530682b41a37ea02f157412000ae97c992d",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "first / second content IDs: 810b956e3376228ff3c1f03f469feb3ab26653b488ba51271e82277672590b80 aed1378a7842598237e59c5d189b13d486068b6284d9c1ca3d4e865866ba6990\n",
            "failed gate kept selection: True rollback restored first: True\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "6353cfde585097db31cab9a93f38c696c40095a2d724861b5042b51ff103a410",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "29663fe3e5f49fd2e6ec1e0504913cc0e25c99ff9cb045ca6918c92f886e9e01",
      "outputs": []
    },
    {
      "sourceHash": "01222e491dc8cdd18346922f0a110ada946e3d5f15741eaf96ba4ef64febca8b",
      "outputs": []
    },
    {
      "sourceHash": "c907f7378ae6b446326070eb6d6b722e7b06f63e82a8ad13a38135ef17814849",
      "outputs": []
    },
    {
      "sourceHash": "0189327b4096c258fac62115f7b05b4a203ba28f8de9a0c7599abbb0977511f8",
      "outputs": []
    },
    {
      "sourceHash": "3bafcedfefaaafff192e772f3f01bc4fc85da64a523fa68b96cce207baa5b94f",
      "outputs": []
    },
    {
      "sourceHash": "91db89e10723ed17e2c6210aeb823a87cbd28e8947f4558c78dfe1e5a33abec9",
      "outputs": []
    },
    {
      "sourceHash": "3ef99f041dec7b5d13fd20af44afaa39a68a26f4bd6921c01452e29407b98e8d",
      "outputs": []
    },
    {
      "sourceHash": "4cc1313017801b7326c3280f40f79caac95e7417abbe79dd542c8e7cfaf34816",
      "outputs": []
    },
    {
      "sourceHash": "1787b337abe2bbfcb1477a1cb0d3fd4636d4c2549b8b67bcd86760913b4ebdaa",
      "outputs": []
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}
