{
  "schemaVersion": 1,
  "lessonId": "transforms-05",
  "contentHash": "c6f1554d6740750d8f73e870475f9174bf1d0e1e07f237ae7c5117313a5c3189",
  "executedAt": "2026-10-20T10:45:24.879206+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Sum: 6.0\nMean: 2.0\nTracing sum_squares; shape: (3,)\n{ lambda ; a:f32[3]. let\n    b:f32[3] = mul a a\n    c:f32[] = reduce_sum[axes=(0,) out_sharding=None] b\n  in (c,) }\nExpected dynamic Boolean conversion error\nPASS: transforms-05\n",
  "notebookCells": [
    {
      "sourceHash": "9f169a99fd56a87bed362d86214ee9837fb7ede4b9551be6f03c098d3d045997",
      "outputs": []
    },
    {
      "sourceHash": "919f9e24238f0d9fb44c18040375fcbb239b6b39814954494121d989a02e0cd7",
      "outputs": []
    },
    {
      "sourceHash": "1723130b29045bacd60da1d2bdd7e32dfc5d4307e2feb6b90defda6e2e792e2a",
      "outputs": []
    },
    {
      "sourceHash": "f4a459c1ca8f99a4cc7ce7acc4da33319d685a69e06c5ff6153c63e2cddd3d20",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sum: 6.0\n",
            "Mean: 2.0\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "3141cb8f7f4b266278445ee49f1fe0350e2aa0f97dc77853239fa2cfea45914d",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "1d0ea6eb8a1d1c052eef68d018bf9a3a64cbe417f1733cec66378f1b1c530d27",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Tracing sum_squares; shape: (3,)\n",
            "{ lambda ; a:f32[3]. let\n",
            "    b:f32[3] = mul a a\n",
            "    c:f32[] = reduce_sum[axes=(0,) out_sharding=None] b\n",
            "  in (c,) }\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "ac0d14892235bca00f3fdc06e8dd34b9846e2d6593ecbaf4e7823ff535cfccbd",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Expected dynamic Boolean conversion error\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "e47042cb147818279c10777e4c35742e966f9da3d91807c00ed40f0456c21ffe",
      "outputs": []
    },
    {
      "sourceHash": "ec187dfbb88cf9f190d6a51a1838884054f72ef1a5014b62af59e4e704865142",
      "outputs": []
    },
    {
      "sourceHash": "1b5d2113db64bacb8a1e466bec21e58f6f34271635308f258a70814cc6c61667",
      "outputs": []
    },
    {
      "sourceHash": "b19d485d4d284f7390ed184caa7055bf380d4d2c1d36a59c5b34f84848a91e78",
      "outputs": []
    },
    {
      "sourceHash": "ed0aa056de4ec2545d9791bdda05944d02ffb40b7ab8ca16fd33115e71e19d78",
      "outputs": []
    },
    {
      "sourceHash": "3e6f8af145f5a864d54ec8f3c1704b566ddcc6e2e7031781520293a3d611f25c",
      "outputs": []
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}