{
  "schemaVersion": 1,
  "lessonId": "deployment-01",
  "contentHash": "996b7ae3906cffdb498add59edb1b30dc571162f999c431c441f51793de81f2c",
  "executedAt": "2026-10-20T10:50:26.277718+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Matched dense outputs: [[ 3.1  -0.45]\n [-4.9   4.55]]\nMatched dense outputs: [[ 3.1  -0.45]\n [-4.9   4.55]]\nEqual shapes, unequal outputs\nFeature order failed, then matched after aligning kernel rows.\nChanged batch verified\nTwo-layer reference scores: [ 6.5  -4.25]\nPASS: deployment-01\n",
  "notebookCells": [
    {
      "sourceHash": "ec4892b994d7e8771066c38e169a95c3b0fbe7df56962d9f9172e2e07c9d4307",
      "outputs": []
    },
    {
      "sourceHash": "681ca79e1ce8eda5291aa460e747e62e9cb87c602d893b88f6043453eeae3d39",
      "outputs": []
    },
    {
      "sourceHash": "712fbf905d62f5429009b8956b5afba7ae7f6ca0ccc4a68593071d3559ae59ef",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Matched dense outputs: [[ 3.1  -0.45]\n",
            " [-4.9   4.55]]\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "de6db74a14843eff77e5df647e04eb45d997af2dfedd58027abe31fd3dd50d48",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Matched dense outputs: [[ 3.1  -0.45]\n",
            " [-4.9   4.55]]\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "82d9d587367d44b0656b4250b8c5d3428b1be7f019e21e2c3c3a7307905bf659",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "39afee2c9b1e973ca5add7da6aa0ec1d809730a05d3c9e9f1fb5929e5dc671ab",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Equal shapes, unequal outputs\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "e979eed7fd0c83851333cea8a3365b4e6dbce81f3b8da83212c1a93b9e8d94de",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Feature order failed, then matched after aligning kernel rows.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "991a2eb2af14cdff0c0a1008e299079a0351d9cc9bfaa75c2967a55c23d7dcfb",
      "outputs": []
    },
    {
      "sourceHash": "0015690d963c3eef783cb2072f41832a51179bc72a3895c842bd777a69cdf8c8",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Changed batch verified\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "77854d1fcc2401aecada25f112b157ce52830b1f0bfc01997941dd4c16a8bece",
      "outputs": []
    },
    {
      "sourceHash": "fafd132dbb2c946d9d94b10409c85541a20d15f40d30418f12676d6ac826a794",
      "outputs": []
    },
    {
      "sourceHash": "0cb4ae9ca2cad7a56aca8fcf3415b10b7f295f869139693e7603bdbed4ef3da2",
      "outputs": []
    },
    {
      "sourceHash": "e462bafb06b4066234af3d2d8999e29095a1995583f6902692e58dee6eb88c0f",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Two-layer reference scores: [ 6.5  -4.25]\n"
          ]
        }
      ]
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}