{
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    "# 1.4 Saving Your Chip Design\n",
    "\n",
    "By the end of this tutorial you will know how to:\n",
    "\n",
    "1. **Export a design to a Python script** with ``to_python_script()`` — for reproducibility, version control, and CI replay.\n",
    "2. **Export to GDS** for fabrication, and visually inspect the result.\n",
    "\n",
    "We start from the full 2-qubit chip built in [tutorial 1.2](./1.1-Quick-start.ipynb). The block below is exactly what ``design.to_python_script()`` produces — a self-contained Python definition you can version-control, share, and replay."
   ]
  },
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   "cell_type": "markdown",
   "id": "871a5ed8",
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   "source": [
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qiskit-community/qiskit-metal/blob/main/tutorials/1%20Overview/1.4%20Saving%20Your%20Chip%20Design.ipynb)\n",
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/qiskit-community/qiskit-metal/main?labpath=tutorials%2F1%20Overview%2F1.4%20Saving%20Your%20Chip%20Design.ipynb)\n",
    "\n",
    "> 💡 **Running in Colab or Binder?** Skip the desktop GUI install — the cell below grabs the lite (no-Qt) wheel, and `qm.gui(design)` auto-picks an inline matplotlib viewer with the same API (`gui.rebuild()`, `gui.screenshot()`, `gui.edit_component(...)`) as the desktop `MetalGUI`."
   ]
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   "source": [
    "# In Colab / Binder, uncomment to install Quantum Metal (lite, no Qt).\n",
    "# Locally you should already have it via `pip install quantum-metal` or\n",
    "# `pip install 'quantum-metal[gui]'` for the desktop GUI.\n",
    "# !pip install -q quantum-metal"
   ]
  },
  {
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   "execution_count": 2,
   "id": "81b3554c",
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Design ready: 15 components\n"
     ]
    }
   ],
   "source": [
    "# === Design reproduced from tutorial 1.2 via design.to_python_script() ===\n",
    "from qiskit_metal import designs, Dict\n",
    "from qiskit_metal.qlibrary.qubits.transmon_pocket_cl import TransmonPocketCL\n",
    "from qiskit_metal.qlibrary.tlines.pathfinder import RoutePathfinder\n",
    "from qiskit_metal.qlibrary.tlines.meandered import RouteMeander\n",
    "from qiskit_metal.qlibrary.lumped.cap_3_interdigital import Cap3Interdigital\n",
    "from qiskit_metal.qlibrary.terminations.launchpad_wb import LaunchpadWirebond\n",
    "\n",
    "design = designs.DesignPlanar()\n",
    "design.overwrite_enabled = True\n",
    "\n",
    "Q1 = TransmonPocketCL(\n",
    "    design,\n",
    "    \"Q1\",\n",
    "    options=dict(\n",
    "        pos_x=\"0.7mm\",\n",
    "        pos_y=\"0mm\",\n",
    "        orientation=\"0\",\n",
    "        pad_gap=\"30um\",\n",
    "        inductor_width=\"20um\",\n",
    "        pad_width=\"425 um\",\n",
    "        pad_height=\"90um\",\n",
    "        pocket_width=\"650um\",\n",
    "        pocket_height=\"650um\",\n",
    "        gds_cell_name=\"FakeJunction_01\",\n",
    "        make_CL=True,\n",
    "        cl_gap=\"6um\",\n",
    "        cl_width=\"10um\",\n",
    "        cl_length=\"20um\",\n",
    "        cl_ground_gap=\"6um\",\n",
    "        cl_pocket_edge=\"180\",\n",
    "        cl_off_center=\"50um\",\n",
    "        connection_pads=dict(\n",
    "            readout=dict(\n",
    "                loc_W=1,\n",
    "                loc_H=1,\n",
    "                pad_gap=\"15um\",\n",
    "                pad_width=\"125um\",\n",
    "                pad_height=\"30um\",\n",
    "                cpw_extend=\"100um\",\n",
    "                pocket_extent=\"5um\",\n",
    "                pocket_rise=\"65um\",\n",
    "            ),\n",
    "            bus=dict(\n",
    "                loc_W=-1,\n",
    "                loc_H=-1,\n",
    "                pad_gap=\"15um\",\n",
    "                pad_width=\"125um\",\n",
    "                pad_height=\"30um\",\n",
    "                cpw_extend=\"100um\",\n",
    "                pocket_extent=\"5um\",\n",
    "                pocket_rise=\"65um\",\n",
    "            ),\n",
    "        ),\n",
    "    ),\n",
    "    make=True,\n",
    ")\n",
    "\n",
    "Q2 = TransmonPocketCL(\n",
    "    design,\n",
    "    \"Q2\",\n",
    "    options=dict(\n",
    "        pos_x=\"-0.7mm\",\n",
    "        pos_y=\"0mm\",\n",
    "        orientation=\"180\",\n",
    "        pad_gap=\"30um\",\n",
    "        inductor_width=\"20um\",\n",
    "        pad_width=\"425 um\",\n",
    "        pad_height=\"90um\",\n",
    "        pocket_width=\"650um\",\n",
    "        pocket_height=\"650um\",\n",
    "        gds_cell_name=\"FakeJunction_01\",\n",
    "        make_CL=True,\n",
    "        cl_gap=\"6um\",\n",
    "        cl_width=\"10um\",\n",
    "        cl_length=\"20um\",\n",
    "        cl_ground_gap=\"6um\",\n",
    "        cl_pocket_edge=\"180\",\n",
    "        cl_off_center=\"50um\",\n",
    "        connection_pads=dict(\n",
    "            readout=dict(\n",
    "                loc_W=1,\n",
    "                loc_H=1,\n",
    "                pad_gap=\"15um\",\n",
    "                pad_width=\"125um\",\n",
    "                pad_height=\"30um\",\n",
    "                cpw_extend=\"100um\",\n",
    "                pocket_extent=\"5um\",\n",
    "                pocket_rise=\"65um\",\n",
    "            ),\n",
    "            bus=dict(\n",
    "                loc_W=-1,\n",
    "                loc_H=-1,\n",
    "                pad_gap=\"15um\",\n",
    "                pad_width=\"125um\",\n",
    "                pad_height=\"30um\",\n",
    "                cpw_extend=\"100um\",\n",
    "                pocket_extent=\"5um\",\n",
    "                pocket_rise=\"65um\",\n",
    "            ),\n",
    "        ),\n",
    "    ),\n",
    "    make=True,\n",
    ")\n",
    "\n",
    "Bus_Q1_Q2 = RoutePathfinder(\n",
    "    design,\n",
    "    \"Bus_Q1_Q2\",\n",
    "    options=dict(\n",
    "        pin_inputs=dict(\n",
    "            start_pin=dict(component=\"Q1\", pin=\"bus\"),\n",
    "            end_pin=dict(component=\"Q2\", pin=\"bus\"),\n",
    "        ),\n",
    "        fillet=\"99um\",\n",
    "        total_length=\"7mm\",\n",
    "        layer=\"1\",\n",
    "        lead=dict(start_straight=\"0mm\", end_straight=\"250um\"),\n",
    "        advanced=dict(avoid_collision=\"true\"),\n",
    "        step_size=\"0.25mm\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "Cap_Q1 = Cap3Interdigital(\n",
    "    design,\n",
    "    \"Cap_Q1\",\n",
    "    options=dict(\n",
    "        layer=\"1\",\n",
    "        pos_x=\"2.5mm\",\n",
    "        pos_y=\"0.25mm\",\n",
    "        orientation=\"90\",\n",
    "        trace_width=\"10um\",\n",
    "        finger_length=\"40um\",\n",
    "    ),\n",
    ")\n",
    "Cap_Q2 = Cap3Interdigital(\n",
    "    design,\n",
    "    \"Cap_Q2\",\n",
    "    options=dict(\n",
    "        layer=\"1\",\n",
    "        pos_x=\"-2.5mm\",\n",
    "        pos_y=\"-0.25mm\",\n",
    "        orientation=\"-90\",\n",
    "        trace_width=\"10um\",\n",
    "        finger_length=\"40um\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "Readout_Q1 = RouteMeander(\n",
    "    design,\n",
    "    \"Readout_Q1\",\n",
    "    options=dict(\n",
    "        pin_inputs=dict(\n",
    "            start_pin=dict(component=\"Q1\", pin=\"readout\"),\n",
    "            end_pin=dict(component=\"Cap_Q1\", pin=\"a\"),\n",
    "        ),\n",
    "        fillet=\"99um\",\n",
    "        total_length=\"5mm\",\n",
    "        layer=\"1\",\n",
    "        lead=dict(start_straight=\"0.325mm\", end_straight=\"125um\"),\n",
    "        meander=dict(spacing=\"200um\", asymmetry=\"-50um\"),\n",
    "    ),\n",
    ")\n",
    "Readout_Q2 = RouteMeander(\n",
    "    design,\n",
    "    \"Readout_Q2\",\n",
    "    options=dict(\n",
    "        pin_inputs=dict(\n",
    "            start_pin=dict(component=\"Q2\", pin=\"readout\"),\n",
    "            end_pin=dict(component=\"Cap_Q2\", pin=\"a\"),\n",
    "        ),\n",
    "        fillet=\"99um\",\n",
    "        total_length=\"6mm\",\n",
    "        layer=\"1\",\n",
    "        lead=dict(start_straight=\"0.325mm\", end_straight=\"125um\"),\n",
    "        meander=dict(spacing=\"200um\", asymmetry=\"-50um\"),\n",
    "    ),\n",
    ")\n",
    "\n",
    "for name, px, py, ori in [\n",
    "    (\"Launch_Q1_Read\", \"3.5mm\", \"0um\", \"180\"),\n",
    "    (\"Launch_Q2_Read\", \"-3.5mm\", \"0um\", \"0\"),\n",
    "    (\"Launch_Q1_CL\", \"1.35mm\", \"-2.5mm\", \"90\"),\n",
    "    (\"Launch_Q2_CL\", \"-1.35mm\", \"2.5mm\", \"-90\"),\n",
    "]:\n",
    "    LaunchpadWirebond(\n",
    "        design,\n",
    "        name,\n",
    "        options=dict(\n",
    "            layer=\"1\",\n",
    "            pos_x=px,\n",
    "            pos_y=py,\n",
    "            orientation=ori,\n",
    "            trace_width=\"cpw_width\",\n",
    "            trace_gap=\"cpw_gap\",\n",
    "            lead_length=\"25um\",\n",
    "        ),\n",
    "    )\n",
    "\n",
    "for name, src_comp, src_pin, dst_comp, dst_pin, length in [\n",
    "    (\"TL_Q1\", \"Launch_Q1_Read\", \"tie\", \"Cap_Q1\", \"b\", \"7mm\"),\n",
    "    (\"TL_Q2\", \"Launch_Q2_Read\", \"tie\", \"Cap_Q2\", \"b\", \"7mm\"),\n",
    "    (\"TL_Q1_CL\", \"Launch_Q1_CL\", \"tie\", \"Q1\", \"Charge_Line\", \"7mm\"),\n",
    "    (\"TL_Q2_CL\", \"Launch_Q2_CL\", \"tie\", \"Q2\", \"Charge_Line\", \"7mm\"),\n",
    "]:\n",
    "    RoutePathfinder(\n",
    "        design,\n",
    "        name,\n",
    "        options=dict(\n",
    "            pin_inputs=dict(\n",
    "                start_pin=dict(component=src_comp, pin=src_pin),\n",
    "                end_pin=dict(component=dst_comp, pin=dst_pin),\n",
    "            ),\n",
    "            fillet=\"99um\",\n",
    "            total_length=length,\n",
    "            layer=\"1\",\n",
    "            lead=dict(start_straight=\"0mm\", end_straight=\"150um\"),\n",
    "            advanced=dict(avoid_collision=\"true\"),\n",
    "            step_size=\"0.25mm\",\n",
    "        ),\n",
    "    )\n",
    "\n",
    "print(f\"Design ready: {len(design.components)} components\")"
   ]
  },
  {
   "cell_type": "code",
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   "id": "d5d9da7f",
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     "shell.execute_reply": "2026-08-09T22:26:36.560598Z"
    }
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   "source": [
    "import qiskit_metal as qm\n",
    "\n",
    "# On local desktop, qm.gui(design) opens the interactive MetalGUI so you\n",
    "# can inspect/edit this design as you work through the rest of the\n",
    "# notebook -- everything below also works with just qm.view(design) if\n",
    "# you'd rather stay headless (e.g. Colab/Binder, or no display).\n",
    "gui = qm.gui(design)\n",
    "\n",
    "if hasattr(gui, \"load_stylesheet\"):\n",
    "    gui.load_stylesheet(\"metal_dark\")"
   ]
  },
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   "cell_type": "code",
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    {
     "data": {
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",
      "text/plain": [
       "<Figure size 900x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import qiskit_metal as qm\n",
    "\n",
    "fig_full = qm.view(design, figsize=(9, 9), title=\"Full 2-qubit chip\")\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(13, 6))\n",
    "qm.view(design, components=[\"Q1\"], title=\"Q1 — FakeJunction_01\", ax=axes[0])\n",
    "qm.view(design, components=[\"Q2\"], title=\"Q2 — FakeJunction_01\", ax=axes[1])\n",
    "plt.tight_layout()\n",
    "plt.close(fig)\n",
    "\n",
    "display(fig_full)\n",
    "display(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "760009da",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-09T22:26:36.801579Z",
     "iopub.status.busy": "2026-08-09T22:26:36.801313Z",
     "iopub.status.idle": "2026-08-09T22:26:36.832283Z",
     "shell.execute_reply": "2026-08-09T22:26:36.829390Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nfrom qiskit_metal.qlibrary.qubits.transmon_pocket_cl import TransmonPocketCL\\n\\nfrom qiskit_metal.qlibrary.tlines.meandered import RouteMeander\\n\\nfrom qiskit_metal.qlibrary.tlines.pathfinder import RoutePathfinder\\n\\nfrom qiskit_metal.qlibrary.terminations.launchpad_wb import LaunchpadWirebond\\n\\nfrom qiskit_metal.qlibrary.lumped.cap_3_interdigital import Cap3Interdigital\\n\\nimport qiskit_metal\\nfrom qiskit_metal import designs, MetalGUI\\n\\ndesign = designs.DesignPlanar()\\n\\ngui = MetalGUI(design)\\n\\n\\n\\n            # WARNING\\n#options_connection_pads failed to have a value\\nQ1 = TransmonPocketCL(\\ndesign,\\nname=\\'Q1\\',\\noptions={\\'cl_pocket_edge\\': \\'180\\',\\n \\'connection_pads\\': {\\'bus\\': {\\'cpw_extend\\': \\'100um\\',\\n                             \\'cpw_gap\\': \\'cpw_gap\\',\\n                             \\'cpw_width\\': \\'cpw_width\\',\\n                             \\'loc_H\\': -1,\\n                             \\'loc_W\\': -1,\\n                             \\'pad_cpw_extent\\': \\'25um\\',\\n                             \\'pad_cpw_shift\\': \\'5um\\',\\n                             \\'pad_gap\\': \\'15um\\',\\n                             \\'pad_height\\': \\'30um\\',\\n                             \\'pad_width\\': \\'125um\\',\\n                             \\'pocket_extent\\': \\'5um\\',\\n                             \\'pocket_rise\\': \\'65um\\'},\\n                     \\'readout\\': {\\'cpw_extend\\': \\'100um\\',\\n                                 \\'cpw_gap\\': \\'cpw_gap\\',\\n                                 \\'cpw_width\\': \\'cpw_width\\',\\n                                 \\'loc_H\\': 1,\\n                                 \\'loc_W\\': 1,\\n                                 \\'pad_cpw_extent\\': \\'25um\\',\\n                                 \\'pad_cpw_shift\\': \\'5um\\',\\n                                 \\'pad_gap\\': \\'15um\\',\\n                                 \\'pad_height\\': \\'30um\\',\\n                                 \\'pad_width\\': \\'125um\\',\\n                                 \\'pocket_extent\\': \\'5um\\',\\n                                 \\'pocket_rise\\': \\'65um\\'}},\\n \\'gds_cell_name\\': \\'FakeJunction_01\\',\\n \\'orientation\\': \\'0\\',\\n \\'pad_width\\': \\'425 um\\',\\n \\'pos_x\\': \\'0.7mm\\',\\n \\'pos_y\\': \\'0mm\\'}\\n)\\n\\n\\n\\n\\n\\n            # WARNING\\n#options_connection_pads failed to have a value\\nQ2 = TransmonPocketCL(\\ndesign,\\nname=\\'Q2\\',\\noptions={\\'cl_pocket_edge\\': \\'180\\',\\n \\'connection_pads\\': {\\'bus\\': {\\'cpw_extend\\': \\'100um\\',\\n                             \\'cpw_gap\\': \\'cpw_gap\\',\\n                             \\'cpw_width\\': \\'cpw_width\\',\\n                             \\'loc_H\\': -1,\\n                             \\'loc_W\\': -1,\\n                             \\'pad_cpw_extent\\': \\'25um\\',\\n                             \\'pad_cpw_shift\\': \\'5um\\',\\n                             \\'pad_gap\\': \\'15um\\',\\n                             \\'pad_height\\': \\'30um\\',\\n                             \\'pad_width\\': \\'125um\\',\\n                             \\'pocket_extent\\': \\'5um\\',\\n                             \\'pocket_rise\\': \\'65um\\'},\\n                     \\'readout\\': {\\'cpw_extend\\': \\'100um\\',\\n                                 \\'cpw_gap\\': \\'cpw_gap\\',\\n                                 \\'cpw_width\\': \\'cpw_width\\',\\n                                 \\'loc_H\\': 1,\\n                                 \\'loc_W\\': 1,\\n                                 \\'pad_cpw_extent\\': \\'25um\\',\\n                                 \\'pad_cpw_shift\\': \\'5um\\',\\n                                 \\'pad_gap\\': \\'15um\\',\\n                                 \\'pad_height\\': \\'30um\\',\\n                                 \\'pad_width\\': \\'125um\\',\\n                                 \\'pocket_extent\\': \\'5um\\',\\n                                 \\'pocket_rise\\': \\'65um\\'}},\\n \\'gds_cell_name\\': \\'FakeJunction_01\\',\\n \\'orientation\\': \\'180\\',\\n \\'pad_width\\': \\'425 um\\',\\n \\'pos_x\\': \\'-0.7mm\\',\\n \\'pos_y\\': \\'0mm\\'}\\n)\\n\\n\\n\\n\\nBus_Q1_Q2 = RoutePathfinder(\\ndesign,\\nname=\\'Bus_Q1_Q2\\',\\noptions={\\'_actual_length\\': \\'0.8550176727053895 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'250um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0mm\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Q2\\',\\n                            \\'pin\\': \\'bus\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Q1\\',\\n                              \\'pin\\': \\'bus\\'}},\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\n\\nCap_Q1 = Cap3Interdigital(\\ndesign,\\nname=\\'Cap_Q1\\',\\noptions={\\'finger_length\\': \\'40um\\',\\n \\'orientation\\': \\'90\\',\\n \\'pos_x\\': \\'2.5mm\\',\\n \\'pos_y\\': \\'0.25mm\\'},\\n\\ncomponent_template=None,\\n)\\n\\n\\n\\n\\nCap_Q2 = Cap3Interdigital(\\ndesign,\\nname=\\'Cap_Q2\\',\\noptions={\\'finger_length\\': \\'40um\\',\\n \\'orientation\\': \\'-90\\',\\n \\'pos_x\\': \\'-2.5mm\\',\\n \\'pos_y\\': \\'-0.25mm\\'},\\n\\ncomponent_template=None,\\n)\\n\\n\\n\\n\\nReadout_Q1 = RouteMeander(\\ndesign,\\nname=\\'Readout_Q1\\',\\noptions={\\'_actual_length\\': \\'5.000000000000001 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'125um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0.325mm\\'},\\n \\'meander\\': {\\'asymmetry\\': \\'-50um\\',\\n             \\'spacing\\': \\'200um\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Cap_Q1\\',\\n                            \\'pin\\': \\'a\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Q1\\',\\n                              \\'pin\\': \\'readout\\'}},\\n \\'total_length\\': \\'5mm\\',\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\n\\nReadout_Q2 = RouteMeander(\\ndesign,\\nname=\\'Readout_Q2\\',\\noptions={\\'_actual_length\\': \\'5.999999999999999 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'125um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0.325mm\\'},\\n \\'meander\\': {\\'asymmetry\\': \\'-50um\\',\\n             \\'spacing\\': \\'200um\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Cap_Q2\\',\\n                            \\'pin\\': \\'a\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Q2\\',\\n                              \\'pin\\': \\'readout\\'}},\\n \\'total_length\\': \\'6mm\\',\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\n\\nLaunch_Q1_Read = LaunchpadWirebond(\\ndesign,\\nname=\\'Launch_Q1_Read\\',\\noptions={\\'orientation\\': \\'180\\',\\n \\'pos_x\\': \\'3.5mm\\',\\n \\'pos_y\\': \\'0um\\'},\\n\\ncomponent_template=None,\\n)\\n\\n\\n\\n\\nLaunch_Q2_Read = LaunchpadWirebond(\\ndesign,\\nname=\\'Launch_Q2_Read\\',\\noptions={\\'orientation\\': \\'0\\',\\n \\'pos_x\\': \\'-3.5mm\\',\\n \\'pos_y\\': \\'0um\\'},\\n\\ncomponent_template=None,\\n)\\n\\n\\n\\n\\nLaunch_Q1_CL = LaunchpadWirebond(\\ndesign,\\nname=\\'Launch_Q1_CL\\',\\noptions={\\'orientation\\': \\'90\\',\\n \\'pos_x\\': \\'1.35mm\\',\\n \\'pos_y\\': \\'-2.5mm\\'},\\n\\ncomponent_template=None,\\n)\\n\\n\\n\\n\\nLaunch_Q2_CL = LaunchpadWirebond(\\ndesign,\\nname=\\'Launch_Q2_CL\\',\\noptions={\\'orientation\\': \\'-90\\',\\n \\'pos_x\\': \\'-1.35mm\\',\\n \\'pos_y\\': \\'2.5mm\\'},\\n\\ncomponent_template=None,\\n)\\n\\n\\n\\n\\nTL_Q1 = RoutePathfinder(\\ndesign,\\nname=\\'TL_Q1\\',\\noptions={\\'_actual_length\\': \\'1.0750176727053897 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'150um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0mm\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Cap_Q1\\',\\n                            \\'pin\\': \\'b\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Launch_Q1_Read\\',\\n                              \\'pin\\': \\'tie\\'}},\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\n\\nTL_Q2 = RoutePathfinder(\\ndesign,\\nname=\\'TL_Q2\\',\\noptions={\\'_actual_length\\': \\'1.0750176727053897 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'150um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0mm\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Cap_Q2\\',\\n                            \\'pin\\': \\'b\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Launch_Q2_Read\\',\\n                              \\'pin\\': \\'tie\\'}},\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\n\\nTL_Q1_CL = RoutePathfinder(\\ndesign,\\nname=\\'TL_Q1_CL\\',\\noptions={\\'_actual_length\\': \\'2.610508836352695 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'150um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0mm\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Q1\\',\\n                            \\'pin\\': \\'Charge_Line\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Launch_Q1_CL\\',\\n                              \\'pin\\': \\'tie\\'}},\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\n\\nTL_Q2_CL = RoutePathfinder(\\ndesign,\\nname=\\'TL_Q2_CL\\',\\noptions={\\'_actual_length\\': \\'2.610508836352695 \\'\\n                   \\'mm\\',\\n \\'fillet\\': \\'99um\\',\\n \\'lead\\': {\\'end_jogged_extension\\': \\'\\',\\n          \\'end_straight\\': \\'150um\\',\\n          \\'start_jogged_extension\\': \\'\\',\\n          \\'start_straight\\': \\'0mm\\'},\\n \\'pin_inputs\\': {\\'end_pin\\': {\\'component\\': \\'Q2\\',\\n                            \\'pin\\': \\'Charge_Line\\'},\\n                \\'start_pin\\': {\\'component\\': \\'Launch_Q2_CL\\',\\n                              \\'pin\\': \\'tie\\'}},\\n \\'trace_gap\\': \\'cpw_gap\\'},\\n\\ntype=\\'CPW\\',\\n)\\n\\n\\n\\ngui.rebuild()\\ngui.autoscale()\\n\\n# Keep the MetalGUI window open when this file is run as a standalone script\\n# (``python my_chip_design.py``). Without an event loop the process exits\\n# immediately and the window disappears.\\n#\\n# Guarded on __main__ so that importing this file -- or executing it inside a\\n# session that already runs a Qt loop (Jupyter/IPython with ``%gui qt``) --\\n# does not block the caller. ``gui.qApp`` may be None if no QApplication could\\n# be created (e.g. a headless machine), so check before calling into it.\\nif __name__ == \"__main__\" and gui.qApp is not None:\\n    gui.qApp.exec()\\n'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design.to_python_script()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a005811d",
   "metadata": {},
   "source": [
    "## Saving with `to_python_script()`\n",
    "\n",
    "`design.to_python_script()` serialises the entire design state — every component, every option, every route — into a self-contained Python script. Running that script recreates the design identically, with no dependency on the original notebook session.\n",
    "\n",
    "**When to use it:**\n",
    "- **Version control** — commit the `.py` file alongside your notebook; diffs are readable\n",
    "- **Sharing** — send the script to a collaborator who can reproduce the exact design\n",
    "- **Headless / batch** — run the script in CI or a parameter sweep without launching the GUI\n",
    "- **Long-term archiving** — the script is plain Python, readable years later without notebook tooling\n",
    "\n",
    "The output prints to the cell below. Copy it into the cell underneath and run it to verify it reproduces your design cleanly."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e614c57e",
   "metadata": {},
   "source": [
    "### Replay the saved script\n",
    "\n",
    "Copy the output from the cell above into a fresh code cell (or a `.py` file) and run it. It should rebuild the full design without any of the intermediate cells above.\n",
    "\n",
    "You can also save it directly to a file:\n",
    "\n",
    "```python\n",
    "import pathlib\n",
    "\n",
    "script = design.to_python_script()          # returns the script as a string\n",
    "pathlib.Path(\"my_chip_design.py\").write_text(script)\n",
    "print(\"Saved to my_chip_design.py\")\n",
    "```\n",
    "\n",
    "Then replay from the command line:\n",
    "\n",
    "```bash\n",
    "python my_chip_design.py\n",
    "```\n",
    "\n",
    "> **Tip:** the script is deterministic — running it twice produces the same geometry. This makes it safe to use as a fixture in automated tests or as input to a parameter sweep."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30460f25",
   "metadata": {},
   "source": [
    "## Exporting to GDS\n",
    "\n",
    "`to_python_script()` captures your design intent; GDS export produces the fabrication mask. The GDS renderer handles junction placement, ground-plane cheesing, and layer assignment.\n",
    "\n",
    "```python\n",
    "gds = design.renderers.gds\n",
    "\n",
    "# Point to a GDS file containing your Josephson junction cells.\n",
    "# The file can use any unit (µm, nm, mm) — the renderer auto-scales.\n",
    "gds.options.path_filename = \"../resources/Fake_Junctions.GDS\"\n",
    "\n",
    "# Control whether cheese/no-cheese geometry appears in the output.\n",
    "# {1: False} = process layer 1 but suppress cheese holes from the file.\n",
    "# Using Dict(main={}) omits the layer entirely and triggers a warning.\n",
    "gds.options.cheese.view_in_file    = Dict(main={1: False})\n",
    "gds.options.no_cheese.view_in_file = Dict(main={1: False})\n",
    "\n",
    "gds.export_to_gds(\"my_chip.gds\")\n",
    "```\n",
    "\n",
    "After export, inspect the result:\n",
    "\n",
    "```python\n",
    "import gdstk\n",
    "\n",
    "lib = gdstk.read_gds(\"my_chip.gds\")\n",
    "\n",
    "# show=True embeds an SVG preview directly in this cell output.\n",
    "# Increase scale for a larger chip; increase width to fill the cell.\n",
    "gds.debug_summarize_gds_library(lib, show=True, scale=100, width=900)\n",
    "```\n",
    "\n",
    "### Junction units\n",
    "\n",
    "The qubit components in this design use `gds_cell_name` to name the junction placeholder:\n",
    "\n",
    "| Qubit | `gds_cell_name` |\n",
    "|-------|----------------|\n",
    "| Q1 | `FakeJunction_01` |\n",
    "| Q2 | `FakeJunction_02` |\n",
    "\n",
    "These names must match cells inside the GDS file pointed to by `path_filename`. The renderer reads the file's `unit` field and rescales all junction geometry automatically — a junction file in nm, µm, or any other unit will land at the correct physical size. See **1.1 Quick start → Render to GDS** for a full walkthrough including layer options and the debug summary tool.\n",
    "\n",
    "### What's next\n",
    "\n",
    "- **1.1 Quick start** — run and visualise this design without the Qt GUI\n",
    "- **2 From components to chip** — multi-qubit designs, CPW routing, and design variables\n",
    "- **3 Renderers** — HFSS, Q3D, GDS, and gmsh/Elmer in depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3c244cef-b426-4784-911d-d36b4e20eb9a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-09T22:26:36.835486Z",
     "iopub.status.busy": "2026-08-09T22:26:36.835300Z",
     "iopub.status.idle": "2026-08-09T22:26:36.900249Z",
     "shell.execute_reply": "2026-08-09T22:26:36.899067Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "04:26PM 36s WARNING [import_junction_gds_file]: Not able to find file:\"../resources/Fake_Junctions.GDS\".  Not used to replace junction. Checked directory:\"/Users/zlatkominev/CODE_REPOS/quantum_hardware_all/qiskit-metal/docs/tut/resources\".\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal import Dict, open_docs\n",
    "\n",
    "gds = design.renderers.gds\n",
    "\n",
    "# Point to a GDS file containing your Josephson junction cells.\n",
    "# The file can use any unit (µm, nm, mm) — the renderer auto-scales.\n",
    "gds.options.path_filename = \"../resources/Fake_Junctions.GDS\"\n",
    "\n",
    "# Control whether cheese/no-cheese geometry appears in the output.\n",
    "# {1: False} = process layer 1 but suppress cheese holes from the file.\n",
    "# Using Dict(main={}) omits the layer entirely and triggers a warning.\n",
    "gds.options.cheese.view_in_file = Dict(main={1: False})\n",
    "gds.options.no_cheese.view_in_file = Dict(main={1: False})\n",
    "\n",
    "gds.export_to_gds(\"my_chip.gds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "47d96d2e-6fea-4ede-aeb9-ffca207e6915",
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     "iopub.status.busy": "2026-08-09T22:26:36.902011Z",
     "iopub.status.idle": "2026-08-09T22:26:36.910244Z",
     "shell.execute_reply": "2026-08-09T22:26:36.909524Z"
    }
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       "<use transform=\"translate(0 0)\" xlink:href=\"#TOP_main_1\"/>\n",
       "</g>\n",
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       "</g>\n",
       "</defs>\n",
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       "</g>\n",
       "</svg></div><table style=\"font-size:12px;font-family:monospace;border-collapse:collapse;margin-top:8px\"><thead><tr style=\"border-bottom:1px solid #ccc;text-align:left\"><th></th><th style=\"padding:1px 10px\">Layer</th><th style=\"padding:1px 10px\">DType</th><th style=\"padding:1px 10px\">Description</th><th style=\"padding:1px 10px\">Polygons</th><th style=\"padding:1px 10px\">Paths</th></tr></thead><tbody><tr><td><div style=\"width:18px;height:12px;background:#4C9BE8;border:1px solid #888;border-radius:2px;margin:2px 0\"></div></td><td style=\"padding:1px 10px\">1</td><td style=\"padding:1px 10px\">0</td><td style=\"padding:1px 10px;color:#555\">metal (boolean result)</td><td style=\"padding:1px 10px;text-align:right\">39 poly</td><td style=\"padding:1px 10px;text-align:right\">0 paths</td></tr><tr><td><div style=\"width:18px;height:12px;background:#F5A623;border:1px solid #888;border-radius:2px;margin:2px 0\"></div></td><td style=\"padding:1px 10px\">1</td><td style=\"padding:1px 10px\">10</td><td style=\"padding:1px 10px;color:#555\">component polygon input</td><td style=\"padding:1px 10px;text-align:right\">28 poly</td><td style=\"padding:1px 10px;text-align:right\">0 paths</td></tr><tr><td><div style=\"width:18px;height:12px;background:#7ED321;border:1px solid #888;border-radius:2px;margin:2px 0\"></div></td><td style=\"padding:1px 10px\">1</td><td style=\"padding:1px 10px\">11</td><td style=\"padding:1px 10px;color:#555\">CPW FlexPath trace</td><td style=\"padding:1px 10px;text-align:right\">42 poly</td><td style=\"padding:1px 10px;text-align:right\">0 paths</td></tr></tbody></table>"
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       "<IPython.core.display.HTML object>"
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== GDS LIBRARY SUMMARY ===\n",
      "name:      library\n",
      "unit:      0.001\n",
      "precision: 1e-09\n",
      "cells:     4\n",
      "\n",
      "CELLS:\n",
      "  - TOP                            geom=True bbox=((-4.5, -3.0), (4.5, 3.0))\n",
      "  - TOP_main                       geom=True bbox=((-4.5, -3.0), (4.5, 3.0))\n",
      "  - TOP_main_1                     geom=True bbox=((-4.5, -3.0), (4.5, 3.0))\n",
      "  - ground_main_1                  geom=True bbox=((-4.5, -3.0), (4.5, 3.0))\n",
      "\n",
      "LAYER / DATATYPE USAGE:\n",
      "  layer  dtype   polys   paths\n",
      "  -----  -----   -----   -----\n",
      "      1      0      39       0\n",
      "      1     10      28       0\n",
      "      1     11      42       0\n",
      "\n",
      "=== END SUMMARY ===\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import gdstk\n",
    "\n",
    "lib = gdstk.read_gds(\"my_chip.gds\")\n",
    "\n",
    "# show=True embeds an SVG preview directly in this cell output.\n",
    "# Increase scale for a larger chip; increase width to fill the cell.\n",
    "gds.debug_summarize_gds_library(lib, show=True, scale=100, width=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0348dfe6",
   "metadata": {},
   "source": [
    "### GDS layer legend\n",
    "\n",
    "The renderer writes geometry across several **layer / datatype** pairs.\n",
    "The layer number matches the `layer` option on each component (default `1`).\n",
    "The datatype encodes how the geometry was produced:\n",
    "\n",
    "| Layer | Datatype | Content |\n",
    "|-------|----------|---------|\n",
    "| 1 | 0 | **Final metal pattern** — post-boolean result (chip outline, ground plane, qubit pockets merged into a single mask) |\n",
    "| 1 | 10 | **Component polygons** — individual pad, pocket, and junction-extension-pad outlines before the boolean merge |\n",
    "| 1 | 11 | **CPW traces** — `FlexPath` geometry for routes, transmission lines, and connectors |\n",
    "| 53 | 0 | **Junction primary layer** — polygons from the imported junction GDS file (`FakeJunction_01/02`) |\n",
    "| 54 | 0 | **Junction secondary layer** — second contact layer from the same junction GDS file |\n",
    "\n",
    "> **Layers 53 and 54 are whatever layers your junction file uses.** If you supply\n",
    "> your own junction GDS, its layer numbers will appear here instead. Use KLayout's\n",
    "> layer panel (right-hand side) to toggle each layer on/off and identify them.\n",
    "\n",
    "The `plot_gds_zoom` panels below colour each `(layer, datatype)` pair distinctly,\n",
    "making it easy to see where the junction sits relative to the qubit pads.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c97fcee",
   "metadata": {},
   "source": [
    "### Zooming into junction pads in GDS\n",
    "\n",
    "``debug_summarize_gds_library`` gives a chip-level overview. To inspect individual junctions at fabrication scale, ``gds.plot_gds_zoom`` clips a small window out of the flattened GDS and renders it with matplotlib — no KLayout required.\n",
    "\n",
    "It works by calling ``top.get_polygons(depth=None)`` to flatten the full cell hierarchy, filtering to a bounding box around your target, then drawing each polygon coloured by ``(layer, datatype)``.\n",
    "\n",
    "> **Matplotlib backend note:** when ``qm.gui(design)`` returns the desktop ``MetalGUI`` (Qt path), matplotlib's backend is ``Qt6Agg`` — ``plt.subplots()`` then opens a Qt window instead of rendering inline. The ``%matplotlib inline`` cell below resets to the static ``Agg`` backend. With the headless viewer this isn't needed; the inline backend is already active."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e635be1c-547d-47f9-a2af-bd536837c6da",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-09T22:26:36.911423Z",
     "iopub.status.busy": "2026-08-09T22:26:36.911345Z",
     "iopub.status.idle": "2026-08-09T22:26:36.913241Z",
     "shell.execute_reply": "2026-08-09T22:26:36.912893Z"
    }
   },
   "outputs": [],
   "source": [
    "# Reset to the static Agg backend so plots render inline.\n",
    "# Needed because MetalGUI (used above) initialises PySide6 which can\n",
    "# switch matplotlib to Qt6Agg. See the note in the markdown cell above.\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "81267beb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-09T22:26:36.914570Z",
     "iopub.status.busy": "2026-08-09T22:26:36.914495Z",
     "iopub.status.idle": "2026-08-09T22:26:37.041855Z",
     "shell.execute_reply": "2026-08-09T22:26:37.041450Z"
    },
    "nbsphinx-thumbnail": {}
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1300x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Zoom into each qubit — 200 µm window centred on the junction.\n",
    "# Q1 sits at (0.70,  0) mm (orientation   0°) → junction cell rotated  90° → vertical\n",
    "# Q2 sits at (−0.70, 0) mm (orientation 180°) → junction cell rotated −90° → vertical\n",
    "fig, axes = plt.subplots(1, 2, figsize=(13, 6))\n",
    "fig.suptitle(\"GDS junction pad zoom — 200 µm window\", fontsize=13)\n",
    "\n",
    "gds.plot_gds_zoom(\n",
    "    lib,\n",
    "    center_mm=(0.70, 0.0),\n",
    "    span_mm=0.10,\n",
    "    title=\"Q1 — FakeJunction_01 at (0.7, 0) mm\",\n",
    "    ax=axes[0],\n",
    ")\n",
    "gds.plot_gds_zoom(\n",
    "    lib,\n",
    "    center_mm=(-0.70, 0.0),\n",
    "    span_mm=0.10,\n",
    "    title=\"Q2 — FakeJunction_02 at (−0.7, 0) mm\",\n",
    "    ax=axes[1],\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "# plt.close(fig)\n",
    "# fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7e4c9d2-viewer",
   "metadata": {},
   "source": [
    "## Viewing your GDS file\n",
    "\n",
    "Once you have a `.gds` file, you'll want to inspect it visually — zoom into junction pads, verify layer colours, check that routes don't collide. Several free tools can do this on every platform.\n",
    "\n",
    "---\n",
    "\n",
    "### KLayout (recommended)\n",
    "\n",
    "[KLayout](https://www.klayout.de) is the industry-standard open-source GDS/OASIS viewer and editor. It handles multi-layer designs, has a Python scripting console, and runs on **Windows, macOS, and Linux**.\n",
    "\n",
    "**Install:**\n",
    "\n",
    "| Platform | Method |\n",
    "|----------|---------|\n",
    "| **macOS** | `brew install --cask klayout` — or download the `.dmg` from [klayout.de/build.html](https://www.klayout.de/build.html) |\n",
    "| **Windows** | Download the `.exe` installer from [klayout.de/build.html](https://www.klayout.de/build.html) |\n",
    "| **Linux** | `.rpm` / `.deb` packages available, or `conda install -c conda-forge klayout` |\n",
    "\n",
    "**Open your file:**\n",
    "\n",
    "```bash\n",
    "# From the terminal — opens KLayout with the file loaded\n",
    "klayout my_chip.gds\n",
    "```\n",
    "\n",
    "Or launch KLayout and use **File → Open**.\n",
    "\n",
    "**Key things to check:**\n",
    "- **Layer panel** (right side) — toggle layers on/off to isolate metal, junctions, cheese holes\n",
    "- **Ruler tool** (`R`) — measure distances in design units\n",
    "- **Zoom to fit** (`F`) — see the full chip at once\n",
    "- **Zoom into junction pads** — verify physical size matches your design (30 µm × 3 µm for the fake junctions here)\n",
    "\n",
    "---\n",
    "\n",
    "### Quick in-notebook preview (no install needed)\n",
    "\n",
    "You already have `gdstk` and the `debug_summarize_gds_library` tool. For a fast sanity check without leaving Jupyter:\n",
    "\n",
    "```python\n",
    "import gdstk\n",
    "lib = gdstk.read_gds(\"my_chip.gds\")\n",
    "gds.debug_summarize_gds_library(lib, show=True, scale=100, width=900)\n",
    "```\n",
    "\n",
    "This embeds an SVG overview directly in the cell output and saves with the notebook. Good for a quick geometry and layer check; use KLayout for detailed inspection.\n",
    "\n",
    "---\n",
    "\n",
    "### Other free viewers\n",
    "\n",
    "| Tool | Platform | Notes |\n",
    "|------|----------|-------|\n",
    "| [gdstk](https://heitzmann.github.io/gdstk/) | Python (all platforms) | Programmatic; `cell.write_svg()` for per-cell previews |\n",
    "| [Magic VLSI](http://opencircuitdesign.com/magic/) | Linux / macOS | Full DRC + extraction; steeper learning curve |\n",
    "| [GDS3D](https://github.com/trilomix/GDS3D) | Windows / Linux | 3D visualisation of GDS layers |\n"
   ]
  }
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