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docs: strip notebook outputs (nbstripout)
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‎docs/coreai-core/tutorials/construct-a-graph.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"id": "intro",
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"id": "0",
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"metadata": {},
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"source": [
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"# Constructing a CoreAI Graph\n",
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},
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{
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"cell_type": "markdown",
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"id": "warning",
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"id": "1",
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"metadata": {},
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"source": [
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":::{warning}\n",
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},
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{
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"cell_type": "markdown",
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"id": "setup-md",
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"id": "2",
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"metadata": {},
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"source": [
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"## Setup\n",
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "imports",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:09.232797Z",
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"iopub.status.busy": "2026-06-04T23:13:09.232330Z",
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"iopub.status.idle": "2026-06-04T23:13:12.445622Z",
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"shell.execute_reply": "2026-06-04T23:13:12.444678Z"
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}
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Dev installation detected. Using local Core AI Framework.\n"
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]
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}
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],
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"execution_count": null,
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"id": "3",
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"metadata": {},
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"outputs": [],
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"source": [
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"import shutil\n",
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"from pathlib import Path\n",
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},
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{
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"cell_type": "markdown",
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"id": "specs-md",
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"id": "4",
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"metadata": {},
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"source": [
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"## Describe the inputs and outputs\n",
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "specs",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:12.447443Z",
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"iopub.status.busy": "2026-06-04T23:13:12.447294Z",
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"iopub.status.idle": "2026-06-04T23:13:12.451834Z",
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"shell.execute_reply": "2026-06-04T23:13:12.451081Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"input: tensor<2x3xf32>\n",
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"output: tensor<2x3xf32>\n"
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]
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}
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],
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"execution_count": null,
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"id": "5",
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"metadata": {},
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"outputs": [],
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"source": [
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"input_spec = TensorSpec(shape=[2, 3], dtype=np.float32)\n",
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"output_spec = TensorSpec(shape=[2, 3], dtype=np.float32, name=\"y\")\n",
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},
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{
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"cell_type": "markdown",
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"id": "build-md",
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"id": "6",
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"metadata": {},
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"source": [
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"## Build the graph\n",
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "build",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:12.453228Z",
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"iopub.status.busy": "2026-06-04T23:13:12.453111Z",
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"iopub.status.idle": "2026-06-04T23:13:12.470623Z",
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"shell.execute_reply": "2026-06-04T23:13:12.470201Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Module verified.\n"
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]
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}
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],
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"execution_count": null,
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"id": "7",
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"metadata": {},
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"outputs": [],
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"source": [
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"module = Module.create()\n",
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"with module:\n",
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},
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{
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"cell_type": "markdown",
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"id": "program-md",
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"id": "8",
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"metadata": {},
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"source": [
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"## Wrap in an `AIProgram`\n",
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},
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"cell_type": "code",
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"execution_count": 4,
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"id": "program",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:12.472009Z",
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"iopub.status.busy": "2026-06-04T23:13:12.471916Z",
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}
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},
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"execution_count": null,
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"id": "9",
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"metadata": {},
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"outputs": [],
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"source": [
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"program = AIProgram(module)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "save-md",
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"id": "10",
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"metadata": {},
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"source": [
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"## Save as an `.aimodel`\n",
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},
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"cell_type": "code",
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"execution_count": 5,
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"id": "save",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:12.475505Z",
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"saved to: hello-graph.aimodel\n"
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]
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}
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],
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"execution_count": null,
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"id": "11",
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"metadata": {},
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"outputs": [],
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"source": [
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"asset_path = Path(\"./hello-graph.aimodel\")\n",
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"if asset_path.exists():\n",
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{
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"cell_type": "markdown",
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"id": "inspect-md",
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"id": "12",
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"metadata": {},
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"source": [
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"## Inspect the saved asset\n",
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},
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"cell_type": "code",
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"execution_count": 6,
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"id": "inspect",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:12.480788Z",
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"iopub.status.busy": "2026-06-04T23:13:12.480705Z",
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"contents: ['main.hash', 'main.mlirb', 'metadata.json']\n",
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"total size: 446 bytes\n"
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]
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}
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],
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"execution_count": null,
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"id": "13",
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"metadata": {},
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"outputs": [],
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"source": [
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"files = sorted(p.name for p in asset_path.iterdir())\n",
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"total_bytes = sum(p.stat().st_size for p in asset_path.rglob(\"*\") if p.is_file())\n",
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},
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"cell_type": "markdown",
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"id": "validate-md",
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"id": "14",
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"metadata": {},
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"source": [
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"## Validate that the asset is loadable\n",
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},
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"cell_type": "code",
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"execution_count": 7,
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"id": "validate",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-06-04T23:13:12.484574Z",
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"iopub.status.busy": "2026-06-04T23:13:12.484499Z",
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"OK\n"
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]
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}
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],
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"execution_count": null,
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"id": "15",
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"metadata": {},
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"outputs": [],
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"source": [
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"reloaded = AIModelAsset.load(asset_path)\n",
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"async with reloaded.executable() as model:\n",

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