n3d_pytorch_ann_to_networkx.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "490b9329-9fa8-4572-b04a-2f35bf5e962c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.fx\n",
    "\n",
    "\n",
    "# A simple image classifer used in PyTorch MNIST example\n",
    "# https://github.com/pytorch/examples/blob/main/mnist/main.py\n",
    "class Net(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Net, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(1, 32, 3, 1)\n",
    "        self.conv2 = nn.Conv2d(32, 64, 3, 1)\n",
    "        self.dropout1 = nn.Dropout(0.25)\n",
    "        self.dropout2 = nn.Dropout(0.5)\n",
    "        self.fc1 = nn.Linear(9216, 128)\n",
    "        self.fc2 = nn.Linear(128, 10)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv1(x)\n",
    "        x = F.relu(x)\n",
    "        x = self.conv2(x)\n",
    "        x = F.relu(x)\n",
    "        x = F.max_pool2d(x, 2)\n",
    "        x = self.dropout1(x)\n",
    "        x = torch.flatten(x, 1)\n",
    "        x = self.fc1(x)\n",
    "        x = F.relu(x)\n",
    "        x = self.dropout2(x)\n",
    "        x = self.fc2(x)\n",
    "        output = F.log_softmax(x, dim=1)\n",
    "        return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "265c0c39-26b2-4b3f-9338-ef39a2d6c6e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "\n",
    "def extract_traces(model):\n",
    "    # Trace the model with a dummy input\n",
    "    dummy_input = torch.randn(1, 1, 28, 28)  # 1 sample, 1 channel, 28x28 image\n",
    "    trace = torch.fx.symbolic_trace(model)\n",
    "    trace_output = []\n",
    "    for node in trace.graph.nodes:\n",
    "        trace_output.append(node.format_node())\n",
    "\n",
    "    parsed_list = []\n",
    "\n",
    "    for entry in trace_output:\n",
    "        if entry.startswith('return'):\n",
    "            # Handle the return statement separately\n",
    "            call_type = 'return'\n",
    "            target = entry.split(' ')[1]\n",
    "            args = None\n",
    "        else:\n",
    "            # Extracting the type of call\n",
    "            call_type = re.search(r'=\\s*(\\w+)\\[', entry).group(1)\n",
    "\n",
    "            # Extracting the target\n",
    "            target = re.search(r'target=([\\w\\.]+)', entry).group(1)\n",
    "\n",
    "            # Extracting args\n",
    "            args_match = re.search(r'args\\s*=\\s*\\(([^)]+)\\)', entry)\n",
    "            args = args_match.group(1) if args_match else None\n",
    "\n",
    "            # Formatting args to remove any surrounding whitespace and trailing commas\n",
    "            if args:\n",
    "                args_list = [arg.strip() for arg in args.split(',')]\n",
    "                args = args_list if len(args_list) > 1 else args_list[0]\n",
    "\n",
    "        # Creating the tuple\n",
    "        parsed_tuple = (call_type, target, args)\n",
    "        parsed_list.append(parsed_tuple)\n",
    "\n",
    "    return parsed_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4942b329-2b3d-4849-90ac-9969b61ddda5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_number_of_neurons(input_width, input_height, kernel_x, kernel_y, padding_x, padding_y, stride_x, stride_y,\n",
    "                                output_channels):\n",
    "    # TODO: The following calculation might not be accurate - it needs to be reviewed\n",
    "    # Source: Calculations in Deep Learning by Goodfellow chapter 9\n",
    "    # Link: https://www.deeplearningbook.org/contents/convnets.html\n",
    "    output_width = int(((input_width - kernel_x + 2 * padding_x) / stride_x) + 1)\n",
    "    output_height = int(((input_height - kernel_y + 2 * padding_y) / stride_y) + 1)\n",
    "    output_dimensions = output_width * output_height\n",
    "    last_out_channels = output_channels\n",
    "    neurons_count = last_out_channels * output_dimensions\n",
    "    return neurons_count, output_width, output_height\n",
    "\n",
    "\n",
    "def extract_layers(model, image_width=28, image_height=28, padding=0):\n",
    "    # Add image pixels as the first layer\n",
    "    layers = {0: image_width * image_height}\n",
    "    layer_counter = 1\n",
    "    output_width = image_width\n",
    "    output_height = image_height\n",
    "    last_out_channels = 0\n",
    "\n",
    "    traced_operations = extract_traces(model)\n",
    "\n",
    "    for op in traced_operations:\n",
    "        operation, module_name, _ = op\n",
    "        if operation == 'call_module':\n",
    "            module = getattr(model, module_name)\n",
    "            if isinstance(module, (nn.Conv2d, nn.Linear)):\n",
    "                if isinstance(module, nn.Conv2d):\n",
    "                    layers[layer_counter], output_width, output_height = calculate_number_of_neurons(output_width, output_height,\n",
    "                                                                                                     module.kernel_size[0], module.kernel_size[1],\n",
    "                                                                                                     0, 0,\n",
    "                                                                                                     module.stride[0], module.stride[1],\n",
    "                                                                                                     module.out_channels)\n",
    "                    last_out_channels = module.out_channels\n",
    "                    layer_counter += 1\n",
    "                elif isinstance(module, nn.Linear):\n",
    "                    last_out_channels = module.out_features\n",
    "                    layers[layer_counter] = module.out_features\n",
    "                    layer_counter += 1\n",
    "        elif operation == 'call_function' and 'max_pool2d' in module_name:\n",
    "            # Handle functional max pooling if different from nn.MaxPool2d layer\n",
    "            kernel_size = int(op[2][1])\n",
    "            stride = kernel_size  # Assuming no stride for simplicity, so by default, it'll be equal to kernel size\n",
    "            layers[layer_counter], output_width, output_height = calculate_number_of_neurons(output_width,\n",
    "                                                                                             output_height,\n",
    "                                                                                             kernel_size, kernel_size,\n",
    "                                                                                             0, 0, stride, stride,\n",
    "                                                                                             last_out_channels)\n",
    "\n",
    "            layer_counter += 1\n",
    "\n",
    "    return layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a328b569-3862-4dc0-b89a-c3e005ca24cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "def create_networkx_from_layers(layers, descale_factor=1):\n",
    "    # Reduce the number of neurons for the sake of faster visualization\n",
    "    if descale_factor > 1:\n",
    "        for layer in layers:\n",
    "            if layer < len(layers) - 2:  # Descale all layers except the last 2 layers\n",
    "                layers[layer] = int(layers[layer] / descale_factor)\n",
    "\n",
    "    G = nx.DiGraph()\n",
    "\n",
    "    # Adding nodes with positions for visual clarity\n",
    "    pos = {}\n",
    "    node_label = 0\n",
    "    for layer in layers:\n",
    "        layer_nodes = layers[layer]\n",
    "        for node in range(layer_nodes):\n",
    "            node_id = f\"{layer}_{node}\"\n",
    "            pos[node_id] = (layer, -node + (layer_nodes / 2))  # Position nodes for a balanced look\n",
    "            G.add_node(node_id)\n",
    "\n",
    "    # Connecting nodes between successive layers\n",
    "    last_layer = len(layers) - 1\n",
    "    for layer in range(last_layer):\n",
    "        # TODO: The connection between neurons might not be accurate\n",
    "        for src_node in range(layers[layer]):\n",
    "            pixels = int((28 * 28) / descale_factor)\n",
    "            src_id = f\"{layer}_{src_node}\"\n",
    "            start = src_node  # % pixels if layer != 0 and layer != last_layer else 0\n",
    "            end = layers[layer + 1]\n",
    "            step = pixels if layer < last_layer - 2 else 1\n",
    "            for dst_node in range(start % step, end, step):\n",
    "                dst_id = f\"{layer + 1}_{dst_node}\"\n",
    "                G.add_edge(src_id, dst_id)\n",
    "\n",
    "    return G, pos, layers\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "def draw_networkx_diagram(G, pos):\n",
    "    # Draw the network\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    nx.draw(G, pos, with_labels=False, node_size=1, node_color=\"skyblue\", edge_color='gray', linewidths=0, width=0.1,\n",
    "            arrowsize=0.1)\n",
    "    plt.title('PyTorch\\'s Simple MNIST CNN Visualization')\n",
    "    plt.axis('off')  # Turn off the axis\n",
    "    # plt.savefig('/Users/michelgokan/Downloads/tweet.png', dpi=300, bbox_inches='tight')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "164e90bd-cf4e-4b07-8ece-69cb34ca6901",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: 784, 1: 21632, 2: 36864, 3: 9216, 4: 128, 5: 10}"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create the model\n",
    "model = Net()\n",
    "\n",
    "# Extract layers information\n",
    "layers_info=extract_layers(model)\n",
    "\n",
    "layers_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "4a452f30-ae37-4754-89fc-8abd53e1cbee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: 7, 1: 216, 2: 368, 3: 92, 4: 128, 5: 10}"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Scale down the size of the network 100x times for faster demonstration\n",
    "G, pos, new_layers = create_networkx_from_layers(layers_info, descale_factor=100)\n",
    "new_layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "196d5b96-0a0e-4d16-96f8-180b4072a36a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "821\n",
      "29465\n"
     ]
    }
   ],
   "source": [
    "# Showing the size of the final Graph\n",
    "print(len(G.nodes))\n",
    "print(len(G.edges))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "30c5a7e5-8627-4b8e-bcce-92a45ab46af9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Final drawing\n",
    "draw_networkx_diagram(G, pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "11d637a7-4efb-4673-aaee-da49504f4eb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'0_0': (0, 3.5),\n",
       " '0_1': (0, 2.5),\n",
       " '0_2': (0, 1.5),\n",
       " '0_3': (0, 0.5),\n",
       " '0_4': (0, -0.5),\n",
       " '0_5': (0, -1.5),\n",
       " '0_6': (0, -2.5),\n",
       " '1_0': (1, 108.0),\n",
       " '1_1': (1, 107.0),\n",
       " '1_2': (1, 106.0),\n",
       " '1_3': (1, 105.0),\n",
       " '1_4': (1, 104.0),\n",
       " '1_5': (1, 103.0),\n",
       " '1_6': (1, 102.0),\n",
       " '1_7': (1, 101.0),\n",
       " '1_8': (1, 100.0),\n",
       " '1_9': (1, 99.0),\n",
       " '1_10': (1, 98.0),\n",
       " '1_11': (1, 97.0),\n",
       " '1_12': (1, 96.0),\n",
       " '1_13': (1, 95.0),\n",
       " '1_14': (1, 94.0),\n",
       " '1_15': (1, 93.0),\n",
       " '1_16': (1, 92.0),\n",
       " '1_17': (1, 91.0),\n",
       " '1_18': (1, 90.0),\n",
       " '1_19': (1, 89.0),\n",
       " '1_20': (1, 88.0),\n",
       " '1_21': (1, 87.0),\n",
       " '1_22': (1, 86.0),\n",
       " '1_23': (1, 85.0),\n",
       " '1_24': (1, 84.0),\n",
       " '1_25': (1, 83.0),\n",
       " '1_26': (1, 82.0),\n",
       " '1_27': (1, 81.0),\n",
       " '1_28': (1, 80.0),\n",
       " '1_29': (1, 79.0),\n",
       " '1_30': (1, 78.0),\n",
       " '1_31': (1, 77.0),\n",
       " '1_32': (1, 76.0),\n",
       " '1_33': (1, 75.0),\n",
       " '1_34': (1, 74.0),\n",
       " '1_35': (1, 73.0),\n",
       " '1_36': (1, 72.0),\n",
       " '1_37': (1, 71.0),\n",
       " '1_38': (1, 70.0),\n",
       " '1_39': (1, 69.0),\n",
       " '1_40': (1, 68.0),\n",
       " '1_41': (1, 67.0),\n",
       " '1_42': (1, 66.0),\n",
       " '1_43': (1, 65.0),\n",
       " '1_44': (1, 64.0),\n",
       " '1_45': (1, 63.0),\n",
       " '1_46': (1, 62.0),\n",
       " '1_47': (1, 61.0),\n",
       " '1_48': (1, 60.0),\n",
       " '1_49': (1, 59.0),\n",
       " '1_50': (1, 58.0),\n",
       " '1_51': (1, 57.0),\n",
       " '1_52': (1, 56.0),\n",
       " '1_53': (1, 55.0),\n",
       " '1_54': (1, 54.0),\n",
       " '1_55': (1, 53.0),\n",
       " '1_56': (1, 52.0),\n",
       " '1_57': (1, 51.0),\n",
       " '1_58': (1, 50.0),\n",
       " '1_59': (1, 49.0),\n",
       " '1_60': (1, 48.0),\n",
       " '1_61': (1, 47.0),\n",
       " '1_62': (1, 46.0),\n",
       " '1_63': (1, 45.0),\n",
       " '1_64': (1, 44.0),\n",
       " '1_65': (1, 43.0),\n",
       " '1_66': (1, 42.0),\n",
       " '1_67': (1, 41.0),\n",
       " '1_68': (1, 40.0),\n",
       " '1_69': (1, 39.0),\n",
       " '1_70': (1, 38.0),\n",
       " '1_71': (1, 37.0),\n",
       " '1_72': (1, 36.0),\n",
       " '1_73': (1, 35.0),\n",
       " '1_74': (1, 34.0),\n",
       " '1_75': (1, 33.0),\n",
       " '1_76': (1, 32.0),\n",
       " '1_77': (1, 31.0),\n",
       " '1_78': (1, 30.0),\n",
       " '1_79': (1, 29.0),\n",
       " '1_80': (1, 28.0),\n",
       " '1_81': (1, 27.0),\n",
       " '1_82': (1, 26.0),\n",
       " '1_83': (1, 25.0),\n",
       " '1_84': (1, 24.0),\n",
       " '1_85': (1, 23.0),\n",
       " '1_86': (1, 22.0),\n",
       " '1_87': (1, 21.0),\n",
       " '1_88': (1, 20.0),\n",
       " '1_89': (1, 19.0),\n",
       " '1_90': (1, 18.0),\n",
       " '1_91': (1, 17.0),\n",
       " '1_92': (1, 16.0),\n",
       " '1_93': (1, 15.0),\n",
       " '1_94': (1, 14.0),\n",
       " '1_95': (1, 13.0),\n",
       " '1_96': (1, 12.0),\n",
       " '1_97': (1, 11.0),\n",
       " '1_98': (1, 10.0),\n",
       " '1_99': (1, 9.0),\n",
       " '1_100': (1, 8.0),\n",
       " '1_101': (1, 7.0),\n",
       " '1_102': (1, 6.0),\n",
       " '1_103': (1, 5.0),\n",
       " '1_104': (1, 4.0),\n",
       " '1_105': (1, 3.0),\n",
       " '1_106': (1, 2.0),\n",
       " '1_107': (1, 1.0),\n",
       " '1_108': (1, 0.0),\n",
       " '1_109': (1, -1.0),\n",
       " '1_110': (1, -2.0),\n",
       " '1_111': (1, -3.0),\n",
       " '1_112': (1, -4.0),\n",
       " '1_113': (1, -5.0),\n",
       " '1_114': (1, -6.0),\n",
       " '1_115': (1, -7.0),\n",
       " '1_116': (1, -8.0),\n",
       " '1_117': (1, -9.0),\n",
       " '1_118': (1, -10.0),\n",
       " '1_119': (1, -11.0),\n",
       " '1_120': (1, -12.0),\n",
       " '1_121': (1, -13.0),\n",
       " '1_122': (1, -14.0),\n",
       " '1_123': (1, -15.0),\n",
       " '1_124': (1, -16.0),\n",
       " '1_125': (1, -17.0),\n",
       " '1_126': (1, -18.0),\n",
       " '1_127': (1, -19.0),\n",
       " '1_128': (1, -20.0),\n",
       " '1_129': (1, -21.0),\n",
       " '1_130': (1, -22.0),\n",
       " '1_131': (1, -23.0),\n",
       " '1_132': (1, -24.0),\n",
       " '1_133': (1, -25.0),\n",
       " '1_134': (1, -26.0),\n",
       " '1_135': (1, -27.0),\n",
       " '1_136': (1, -28.0),\n",
       " '1_137': (1, -29.0),\n",
       " '1_138': (1, -30.0),\n",
       " '1_139': (1, -31.0),\n",
       " '1_140': (1, -32.0),\n",
       " '1_141': (1, -33.0),\n",
       " '1_142': (1, -34.0),\n",
       " '1_143': (1, -35.0),\n",
       " '1_144': (1, -36.0),\n",
       " '1_145': (1, -37.0),\n",
       " '1_146': (1, -38.0),\n",
       " '1_147': (1, -39.0),\n",
       " '1_148': (1, -40.0),\n",
       " '1_149': (1, -41.0),\n",
       " '1_150': (1, -42.0),\n",
       " '1_151': (1, -43.0),\n",
       " '1_152': (1, -44.0),\n",
       " '1_153': (1, -45.0),\n",
       " '1_154': (1, -46.0),\n",
       " '1_155': (1, -47.0),\n",
       " '1_156': (1, -48.0),\n",
       " '1_157': (1, -49.0),\n",
       " '1_158': (1, -50.0),\n",
       " '1_159': (1, -51.0),\n",
       " '1_160': (1, -52.0),\n",
       " '1_161': (1, -53.0),\n",
       " '1_162': (1, -54.0),\n",
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       " '5_9': (5, -4.0)}"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "c5ce3824-282d-4cd2-9325-cc63ca2b7932",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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'5_1'), ('4_72', '5_2'), ('4_72', '5_3'), ('4_72', '5_4'), ('4_72', '5_5'), ('4_72', '5_6'), ('4_72', '5_7'), ('4_72', '5_8'), ('4_72', '5_9'), ('4_73', '5_0'), ('4_73', '5_1'), ('4_73', '5_2'), ('4_73', '5_3'), ('4_73', '5_4'), ('4_73', '5_5'), ('4_73', '5_6'), ('4_73', '5_7'), ('4_73', '5_8'), ('4_73', '5_9'), ('4_74', '5_0'), ('4_74', '5_1'), ('4_74', '5_2'), ('4_74', '5_3'), ('4_74', '5_4'), ('4_74', '5_5'), ('4_74', '5_6'), ('4_74', '5_7'), ('4_74', '5_8'), ('4_74', '5_9'), ('4_75', '5_0'), ('4_75', '5_1'), ('4_75', '5_2'), ('4_75', '5_3'), ('4_75', '5_4'), ('4_75', '5_5'), ('4_75', '5_6'), ('4_75', '5_7'), ('4_75', '5_8'), ('4_75', '5_9'), ('4_76', '5_0'), ('4_76', '5_1'), ('4_76', '5_2'), ('4_76', '5_3'), ('4_76', '5_4'), ('4_76', '5_5'), ('4_76', '5_6'), ('4_76', '5_7'), ('4_76', '5_8'), ('4_76', '5_9'), ('4_77', '5_0'), ('4_77', '5_1'), ('4_77', '5_2'), ('4_77', '5_3'), ('4_77', '5_4'), ('4_77', '5_5'), ('4_77', '5_6'), ('4_77', '5_7'), ('4_77', '5_8'), ('4_77', '5_9'), ('4_78', '5_0'), ('4_78', '5_1'), ('4_78', '5_2'), ('4_78', '5_3'), ('4_78', '5_4'), ('4_78', '5_5'), ('4_78', '5_6'), ('4_78', '5_7'), ('4_78', '5_8'), ('4_78', '5_9'), ('4_79', '5_0'), ('4_79', '5_1'), ('4_79', '5_2'), ('4_79', '5_3'), ('4_79', '5_4'), ('4_79', '5_5'), ('4_79', '5_6'), ('4_79', '5_7'), ('4_79', '5_8'), ('4_79', '5_9'), ('4_80', '5_0'), ('4_80', '5_1'), ('4_80', '5_2'), ('4_80', '5_3'), ('4_80', '5_4'), ('4_80', '5_5'), ('4_80', '5_6'), ('4_80', '5_7'), ('4_80', '5_8'), ('4_80', '5_9'), ('4_81', '5_0'), ('4_81', '5_1'), ('4_81', '5_2'), ('4_81', '5_3'), ('4_81', '5_4'), ('4_81', '5_5'), ('4_81', '5_6'), ('4_81', '5_7'), ('4_81', '5_8'), ('4_81', '5_9'), ('4_82', '5_0'), ('4_82', '5_1'), ('4_82', '5_2'), ('4_82', '5_3'), ('4_82', '5_4'), ('4_82', '5_5'), ('4_82', '5_6'), ('4_82', '5_7'), ('4_82', '5_8'), ('4_82', '5_9'), ('4_83', '5_0'), ('4_83', '5_1'), ('4_83', '5_2'), ('4_83', '5_3'), ('4_83', '5_4'), ('4_83', '5_5'), ('4_83', '5_6'), ('4_83', '5_7'), ('4_83', '5_8'), ('4_83', '5_9'), ('4_84', '5_0'), ('4_84', '5_1'), ('4_84', '5_2'), ('4_84', '5_3'), ('4_84', '5_4'), ('4_84', '5_5'), ('4_84', '5_6'), ('4_84', '5_7'), ('4_84', '5_8'), ('4_84', '5_9'), ('4_85', '5_0'), ('4_85', '5_1'), ('4_85', '5_2'), ('4_85', '5_3'), ('4_85', '5_4'), ('4_85', '5_5'), ('4_85', '5_6'), ('4_85', '5_7'), ('4_85', '5_8'), ('4_85', '5_9'), ('4_86', '5_0'), ('4_86', '5_1'), ('4_86', '5_2'), ('4_86', '5_3'), ('4_86', '5_4'), ('4_86', '5_5'), ('4_86', '5_6'), ('4_86', '5_7'), ('4_86', '5_8'), ('4_86', '5_9'), ('4_87', '5_0'), ('4_87', '5_1'), ('4_87', '5_2'), ('4_87', '5_3'), ('4_87', '5_4'), ('4_87', '5_5'), ('4_87', '5_6'), ('4_87', '5_7'), ('4_87', '5_8'), ('4_87', '5_9'), ('4_88', '5_0'), ('4_88', '5_1'), ('4_88', '5_2'), ('4_88', '5_3'), ('4_88', '5_4'), ('4_88', '5_5'), ('4_88', '5_6'), ('4_88', '5_7'), ('4_88', '5_8'), ('4_88', '5_9'), ('4_89', '5_0'), ('4_89', '5_1'), ('4_89', '5_2'), ('4_89', '5_3'), ('4_89', '5_4'), ('4_89', '5_5'), ('4_89', '5_6'), ('4_89', '5_7'), ('4_89', '5_8'), ('4_89', '5_9'), ('4_90', '5_0'), ('4_90', '5_1'), ('4_90', '5_2'), ('4_90', '5_3'), ('4_90', '5_4'), ('4_90', '5_5'), ('4_90', '5_6'), ('4_90', '5_7'), ('4_90', '5_8'), ('4_90', '5_9'), ('4_91', '5_0'), ('4_91', '5_1'), ('4_91', '5_2'), ('4_91', '5_3'), ('4_91', '5_4'), ('4_91', '5_5'), ('4_91', '5_6'), ('4_91', '5_7'), ('4_91', '5_8'), ('4_91', '5_9'), ('4_92', '5_0'), ('4_92', '5_1'), ('4_92', '5_2'), ('4_92', '5_3'), ('4_92', '5_4'), ('4_92', '5_5'), ('4_92', '5_6'), ('4_92', '5_7'), ('4_92', '5_8'), ('4_92', '5_9'), ('4_93', '5_0'), ('4_93', '5_1'), ('4_93', '5_2'), ('4_93', '5_3'), ('4_93', '5_4'), ('4_93', '5_5'), ('4_93', '5_6'), ('4_93', '5_7'), ('4_93', '5_8'), ('4_93', '5_9'), ('4_94', '5_0'), ('4_94', '5_1'), ('4_94', '5_2'), ('4_94', '5_3'), ('4_94', '5_4'), ('4_94', '5_5'), ('4_94', '5_6'), ('4_94', '5_7'), ('4_94', '5_8'), ('4_94', '5_9'), ('4_95', '5_0'), ('4_95', '5_1'), ('4_95', '5_2'), ('4_95', '5_3'), ('4_95', '5_4'), ('4_95', '5_5'), ('4_95', '5_6'), ('4_95', '5_7'), ('4_95', '5_8'), ('4_95', '5_9'), ('4_96', '5_0'), ('4_96', '5_1'), ('4_96', '5_2'), ('4_96', '5_3'), ('4_96', '5_4'), ('4_96', '5_5'), ('4_96', '5_6'), ('4_96', '5_7'), ('4_96', '5_8'), ('4_96', '5_9'), ('4_97', '5_0'), ('4_97', '5_1'), ('4_97', '5_2'), ('4_97', '5_3'), ('4_97', '5_4'), ('4_97', '5_5'), ('4_97', '5_6'), ('4_97', '5_7'), ('4_97', '5_8'), ('4_97', '5_9'), ('4_98', '5_0'), ('4_98', '5_1'), ('4_98', '5_2'), ('4_98', '5_3'), ('4_98', '5_4'), ('4_98', '5_5'), ('4_98', '5_6'), ('4_98', '5_7'), ('4_98', '5_8'), ('4_98', '5_9'), ('4_99', '5_0'), ('4_99', '5_1'), ('4_99', '5_2'), ('4_99', '5_3'), ('4_99', '5_4'), ('4_99', '5_5'), ('4_99', '5_6'), ('4_99', '5_7'), ('4_99', '5_8'), ('4_99', '5_9'), ('4_100', '5_0'), ('4_100', '5_1'), ('4_100', '5_2'), ('4_100', '5_3'), ('4_100', '5_4'), ('4_100', '5_5'), ('4_100', '5_6'), ('4_100', '5_7'), ('4_100', '5_8'), ('4_100', '5_9'), ('4_101', '5_0'), ('4_101', '5_1'), ('4_101', '5_2'), ('4_101', '5_3'), ('4_101', '5_4'), ('4_101', '5_5'), ('4_101', '5_6'), ('4_101', '5_7'), ('4_101', '5_8'), ('4_101', '5_9'), ('4_102', '5_0'), ('4_102', '5_1'), ('4_102', '5_2'), ('4_102', '5_3'), ('4_102', '5_4'), ('4_102', '5_5'), ('4_102', '5_6'), ('4_102', '5_7'), ('4_102', '5_8'), ('4_102', '5_9'), ('4_103', '5_0'), ('4_103', '5_1'), ('4_103', '5_2'), ('4_103', '5_3'), ('4_103', '5_4'), ('4_103', '5_5'), ('4_103', '5_6'), ('4_103', '5_7'), ('4_103', '5_8'), ('4_103', '5_9'), ('4_104', '5_0'), ('4_104', '5_1'), ('4_104', '5_2'), ('4_104', '5_3'), ('4_104', '5_4'), ('4_104', '5_5'), ('4_104', '5_6'), ('4_104', '5_7'), ('4_104', '5_8'), ('4_104', '5_9'), ('4_105', '5_0'), ('4_105', '5_1'), ('4_105', '5_2'), ('4_105', '5_3'), ('4_105', '5_4'), ('4_105', '5_5'), ('4_105', '5_6'), ('4_105', '5_7'), ('4_105', '5_8'), ('4_105', '5_9'), ('4_106', '5_0'), ('4_106', '5_1'), ('4_106', '5_2'), ('4_106', '5_3'), ('4_106', '5_4'), ('4_106', '5_5'), ('4_106', '5_6'), ('4_106', '5_7'), ('4_106', '5_8'), ('4_106', '5_9'), ('4_107', '5_0'), ('4_107', '5_1'), ('4_107', '5_2'), ('4_107', '5_3'), ('4_107', '5_4'), ('4_107', '5_5'), ('4_107', '5_6'), ('4_107', '5_7'), ('4_107', '5_8'), ('4_107', '5_9'), ('4_108', '5_0'), ('4_108', '5_1'), ('4_108', '5_2'), ('4_108', '5_3'), ('4_108', '5_4'), ('4_108', '5_5'), ('4_108', '5_6'), ('4_108', '5_7'), ('4_108', '5_8'), ('4_108', '5_9'), ('4_109', '5_0'), ('4_109', '5_1'), ('4_109', '5_2'), ('4_109', '5_3'), ('4_109', '5_4'), ('4_109', '5_5'), ('4_109', '5_6'), ('4_109', '5_7'), ('4_109', '5_8'), ('4_109', '5_9'), ('4_110', '5_0'), ('4_110', '5_1'), ('4_110', '5_2'), ('4_110', '5_3'), ('4_110', '5_4'), ('4_110', '5_5'), ('4_110', '5_6'), ('4_110', '5_7'), ('4_110', '5_8'), ('4_110', '5_9'), ('4_111', '5_0'), ('4_111', '5_1'), ('4_111', '5_2'), ('4_111', '5_3'), ('4_111', '5_4'), ('4_111', '5_5'), ('4_111', '5_6'), ('4_111', '5_7'), ('4_111', '5_8'), ('4_111', '5_9'), ('4_112', '5_0'), ('4_112', '5_1'), ('4_112', '5_2'), ('4_112', '5_3'), ('4_112', '5_4'), ('4_112', '5_5'), ('4_112', '5_6'), ('4_112', '5_7'), ('4_112', '5_8'), ('4_112', '5_9'), ('4_113', '5_0'), ('4_113', '5_1'), ('4_113', '5_2'), ('4_113', '5_3'), ('4_113', '5_4'), ('4_113', '5_5'), ('4_113', '5_6'), ('4_113', '5_7'), ('4_113', '5_8'), ('4_113', '5_9'), ('4_114', '5_0'), ('4_114', '5_1'), ('4_114', '5_2'), ('4_114', '5_3'), ('4_114', '5_4'), ('4_114', '5_5'), ('4_114', '5_6'), ('4_114', '5_7'), ('4_114', '5_8'), ('4_114', '5_9'), ('4_115', '5_0'), ('4_115', '5_1'), ('4_115', '5_2'), ('4_115', '5_3'), ('4_115', '5_4'), ('4_115', '5_5'), ('4_115', '5_6'), ('4_115', '5_7'), ('4_115', '5_8'), ('4_115', '5_9'), ('4_116', '5_0'), ('4_116', '5_1'), ('4_116', '5_2'), ('4_116', '5_3'), ('4_116', '5_4'), ('4_116', '5_5'), ('4_116', '5_6'), ('4_116', '5_7'), ('4_116', '5_8'), ('4_116', '5_9'), ('4_117', '5_0'), ('4_117', '5_1'), ('4_117', '5_2'), ('4_117', '5_3'), ('4_117', '5_4'), ('4_117', '5_5'), ('4_117', '5_6'), ('4_117', '5_7'), ('4_117', '5_8'), ('4_117', '5_9'), ('4_118', '5_0'), ('4_118', '5_1'), ('4_118', '5_2'), ('4_118', '5_3'), ('4_118', '5_4'), ('4_118', '5_5'), ('4_118', '5_6'), ('4_118', '5_7'), ('4_118', '5_8'), ('4_118', '5_9'), ('4_119', '5_0'), ('4_119', '5_1'), ('4_119', '5_2'), ('4_119', '5_3'), ('4_119', '5_4'), ('4_119', '5_5'), ('4_119', '5_6'), ('4_119', '5_7'), ('4_119', '5_8'), ('4_119', '5_9'), ('4_120', '5_0'), ('4_120', '5_1'), ('4_120', '5_2'), ('4_120', '5_3'), ('4_120', '5_4'), ('4_120', '5_5'), ('4_120', '5_6'), ('4_120', '5_7'), ('4_120', '5_8'), ('4_120', '5_9'), ('4_121', '5_0'), ('4_121', '5_1'), ('4_121', '5_2'), ('4_121', '5_3'), ('4_121', '5_4'), ('4_121', '5_5'), ('4_121', '5_6'), ('4_121', '5_7'), ('4_121', '5_8'), ('4_121', '5_9'), ('4_122', '5_0'), ('4_122', '5_1'), ('4_122', '5_2'), ('4_122', '5_3'), ('4_122', '5_4'), ('4_122', '5_5'), ('4_122', '5_6'), ('4_122', '5_7'), ('4_122', '5_8'), ('4_122', '5_9'), ('4_123', '5_0'), ('4_123', '5_1'), ('4_123', '5_2'), ('4_123', '5_3'), ('4_123', '5_4'), ('4_123', '5_5'), ('4_123', '5_6'), ('4_123', '5_7'), ('4_123', '5_8'), ('4_123', '5_9'), ('4_124', '5_0'), ('4_124', '5_1'), ('4_124', '5_2'), ('4_124', '5_3'), ('4_124', '5_4'), ('4_124', '5_5'), ('4_124', '5_6'), ('4_124', '5_7'), ('4_124', '5_8'), ('4_124', '5_9'), ('4_125', '5_0'), ('4_125', '5_1'), ('4_125', '5_2'), ('4_125', '5_3'), ('4_125', '5_4'), ('4_125', '5_5'), ('4_125', '5_6'), ('4_125', '5_7'), ('4_125', '5_8'), ('4_125', '5_9'), ('4_126', '5_0'), ('4_126', '5_1'), ('4_126', '5_2'), ('4_126', '5_3'), ('4_126', '5_4'), ('4_126', '5_5'), ('4_126', '5_6'), ('4_126', '5_7'), ('4_126', '5_8'), ('4_126', '5_9'), ('4_127', '5_0'), ('4_127', '5_1'), ('4_127', '5_2'), ('4_127', '5_3'), ('4_127', '5_4'), ('4_127', '5_5'), ('4_127', '5_6'), ('4_127', '5_7'), ('4_127', '5_8'), ('4_127', '5_9')]\n"
     ]
    }
   ],
   "source": [
    "edges = list(G.edges)\n",
    "print(edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4908b1a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "node_positions = {\n",
    "    0: [-0.81, -0.48, 0.38],\n",
    "    1: [0.13, -0.97, 0.27],\n",
    "    2: [0.91, -0.24, 0.40],\n",
    "    3: [0.81, 0.48, -0.38],\n",
    "    4: [-0.02, 0.20, -1.00],\n",
    "    5: [-0.44, -0.70, -0.59],\n",
    "    7: [-0.62, 0.55, 0.58],\n",
    "    8: [0.01, -0.20, 1.00],\n",
    "    9: [0.44, 0.70, 0.59],\n",
    "    10: [-0.13, 0.97, -0.27],\n",
    "    11: [-0.91, 0.24, -0.40],\n",
    "    6: [0.63, -0.55, -0.59],\n",
    "}\n",
    "\n",
    "edges = [(0, 1), (0, 5), (0, 7), (0, 8), (0, 11), (1, 2), (1, 5), (1, 6), \n",
    "         (1, 8), (2, 3), (2, 6), (2, 8), (2, 9), (3, 4), (3, 6), (3, 9), (3, 10), \n",
    "         (4, 5), (4, 6), (4, 10), (4, 11), (5, 6), (5, 11), (7, 8), (7, 9), (7, 10), (7, 11), \n",
    "         (8, 9), (9, 10), (10, 11)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "06773a7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'0_0': (0, 3.5, 0.0), '0_1': (0, 2.5, 0.0), '0_2': (0, 1.5, 0.0), '0_3': (0, 0.5, 0.0), '0_4': (0, -0.5, 0.0), '0_5': (0, -1.5, 0.0), '0_6': (0, -2.5, 0.0), '1_0': (1, 108.0, 0.0), '1_1': (1, 107.0, 0.0), '1_2': (1, 106.0, 0.0), '1_3': (1, 105.0, 0.0), '1_4': (1, 104.0, 0.0), '1_5': (1, 103.0, 0.0), '1_6': (1, 102.0, 0.0), '1_7': (1, 101.0, 0.0), '1_8': (1, 100.0, 0.0), '1_9': (1, 99.0, 0.0), '1_10': (1, 98.0, 0.0), '1_11': (1, 97.0, 0.0), '1_12': (1, 96.0, 0.0), '1_13': (1, 95.0, 0.0), '1_14': (1, 94.0, 0.0), '1_15': (1, 93.0, 0.0), '1_16': (1, 92.0, 0.0), '1_17': (1, 91.0, 0.0), '1_18': (1, 90.0, 0.0), '1_19': (1, 89.0, 0.0), '1_20': (1, 88.0, 0.0), '1_21': (1, 87.0, 0.0), '1_22': (1, 86.0, 0.0), '1_23': (1, 85.0, 0.0), '1_24': (1, 84.0, 0.0), '1_25': (1, 83.0, 0.0), '1_26': (1, 82.0, 0.0), '1_27': (1, 81.0, 0.0), '1_28': (1, 80.0, 0.0), '1_29': (1, 79.0, 0.0), '1_30': (1, 78.0, 0.0), '1_31': (1, 77.0, 0.0), '1_32': (1, 76.0, 0.0), '1_33': (1, 75.0, 0.0), '1_34': (1, 74.0, 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'2_256': (2, -72.0, 0.0), '2_257': (2, -73.0, 0.0), '2_258': (2, -74.0, 0.0), '2_259': (2, -75.0, 0.0), '2_260': (2, -76.0, 0.0), '2_261': (2, -77.0, 0.0), '2_262': (2, -78.0, 0.0), '2_263': (2, -79.0, 0.0), '2_264': (2, -80.0, 0.0), '2_265': (2, -81.0, 0.0), '2_266': (2, -82.0, 0.0), '2_267': (2, -83.0, 0.0), '2_268': (2, -84.0, 0.0), '2_269': (2, -85.0, 0.0), '2_270': (2, -86.0, 0.0), '2_271': (2, -87.0, 0.0), '2_272': (2, -88.0, 0.0), '2_273': (2, -89.0, 0.0), '2_274': (2, -90.0, 0.0), '2_275': (2, -91.0, 0.0), '2_276': (2, -92.0, 0.0), '2_277': (2, -93.0, 0.0), '2_278': (2, -94.0, 0.0), '2_279': (2, -95.0, 0.0), '2_280': (2, -96.0, 0.0), '2_281': (2, -97.0, 0.0), '2_282': (2, -98.0, 0.0), '2_283': (2, -99.0, 0.0), '2_284': (2, -100.0, 0.0), '2_285': (2, -101.0, 0.0), '2_286': (2, -102.0, 0.0), '2_287': (2, -103.0, 0.0), '2_288': (2, -104.0, 0.0), '2_289': (2, -105.0, 0.0), '2_290': (2, -106.0, 0.0), '2_291': (2, -107.0, 0.0), '2_292': (2, -108.0, 0.0), '2_293': (2, -109.0, 0.0), '2_294': (2, -110.0, 0.0), '2_295': (2, -111.0, 0.0), '2_296': (2, -112.0, 0.0), '2_297': (2, -113.0, 0.0), '2_298': (2, -114.0, 0.0), '2_299': (2, -115.0, 0.0), '2_300': (2, -116.0, 0.0), '2_301': (2, -117.0, 0.0), '2_302': (2, -118.0, 0.0), '2_303': (2, -119.0, 0.0), '2_304': (2, -120.0, 0.0), '2_305': (2, -121.0, 0.0), '2_306': (2, -122.0, 0.0), '2_307': (2, -123.0, 0.0), '2_308': (2, -124.0, 0.0), '2_309': (2, -125.0, 0.0), '2_310': (2, -126.0, 0.0), '2_311': (2, -127.0, 0.0), '2_312': (2, -128.0, 0.0), '2_313': (2, -129.0, 0.0), '2_314': (2, -130.0, 0.0), '2_315': (2, -131.0, 0.0), '2_316': (2, -132.0, 0.0), '2_317': (2, -133.0, 0.0), '2_318': (2, -134.0, 0.0), '2_319': (2, -135.0, 0.0), '2_320': (2, -136.0, 0.0), '2_321': (2, -137.0, 0.0), '2_322': (2, -138.0, 0.0), '2_323': (2, -139.0, 0.0), '2_324': (2, -140.0, 0.0), '2_325': (2, -141.0, 0.0), '2_326': (2, -142.0, 0.0), '2_327': (2, -143.0, 0.0), '2_328': (2, -144.0, 0.0), '2_329': (2, -145.0, 0.0), '2_330': (2, -146.0, 0.0), '2_331': (2, -147.0, 0.0), '2_332': (2, -148.0, 0.0), '2_333': (2, -149.0, 0.0), '2_334': (2, -150.0, 0.0), '2_335': (2, -151.0, 0.0), '2_336': (2, -152.0, 0.0), '2_337': (2, -153.0, 0.0), '2_338': (2, -154.0, 0.0), '2_339': (2, -155.0, 0.0), '2_340': (2, -156.0, 0.0), '2_341': (2, -157.0, 0.0), '2_342': (2, -158.0, 0.0), '2_343': (2, -159.0, 0.0), '2_344': (2, -160.0, 0.0), '2_345': (2, -161.0, 0.0), '2_346': (2, -162.0, 0.0), '2_347': (2, -163.0, 0.0), '2_348': (2, -164.0, 0.0), '2_349': (2, -165.0, 0.0), '2_350': (2, -166.0, 0.0), '2_351': (2, -167.0, 0.0), '2_352': (2, -168.0, 0.0), '2_353': (2, -169.0, 0.0), '2_354': (2, -170.0, 0.0), '2_355': (2, -171.0, 0.0), '2_356': (2, -172.0, 0.0), '2_357': (2, -173.0, 0.0), '2_358': (2, -174.0, 0.0), '2_359': (2, -175.0, 0.0), '2_360': (2, -176.0, 0.0), '2_361': (2, -177.0, 0.0), '2_362': (2, -178.0, 0.0), '2_363': (2, -179.0, 0.0), '2_364': (2, -180.0, 0.0), '2_365': (2, -181.0, 0.0), '2_366': (2, -182.0, 0.0), '2_367': (2, -183.0, 0.0), '3_0': (3, 46.0, 0.0), '3_1': (3, 45.0, 0.0), '3_2': (3, 44.0, 0.0), '3_3': (3, 43.0, 0.0), '3_4': (3, 42.0, 0.0), '3_5': (3, 41.0, 0.0), '3_6': (3, 40.0, 0.0), '3_7': (3, 39.0, 0.0), '3_8': (3, 38.0, 0.0), '3_9': (3, 37.0, 0.0), '3_10': (3, 36.0, 0.0), '3_11': (3, 35.0, 0.0), '3_12': (3, 34.0, 0.0), '3_13': (3, 33.0, 0.0), '3_14': (3, 32.0, 0.0), '3_15': (3, 31.0, 0.0), '3_16': (3, 30.0, 0.0), '3_17': (3, 29.0, 0.0), '3_18': (3, 28.0, 0.0), '3_19': (3, 27.0, 0.0), '3_20': (3, 26.0, 0.0), '3_21': (3, 25.0, 0.0), '3_22': (3, 24.0, 0.0), '3_23': (3, 23.0, 0.0), '3_24': (3, 22.0, 0.0), '3_25': (3, 21.0, 0.0), '3_26': (3, 20.0, 0.0), '3_27': (3, 19.0, 0.0), '3_28': (3, 18.0, 0.0), '3_29': (3, 17.0, 0.0), '3_30': (3, 16.0, 0.0), '3_31': (3, 15.0, 0.0), '3_32': (3, 14.0, 0.0), '3_33': (3, 13.0, 0.0), '3_34': (3, 12.0, 0.0), '3_35': (3, 11.0, 0.0), '3_36': (3, 10.0, 0.0), '3_37': (3, 9.0, 0.0), '3_38': (3, 8.0, 0.0), '3_39': (3, 7.0, 0.0), '3_40': (3, 6.0, 0.0), '3_41': (3, 5.0, 0.0), '3_42': (3, 4.0, 0.0), '3_43': (3, 3.0, 0.0), '3_44': (3, 2.0, 0.0), '3_45': (3, 1.0, 0.0), '3_46': (3, 0.0, 0.0), '3_47': (3, -1.0, 0.0), '3_48': (3, -2.0, 0.0), '3_49': (3, -3.0, 0.0), '3_50': (3, -4.0, 0.0), '3_51': (3, -5.0, 0.0), '3_52': (3, -6.0, 0.0), '3_53': (3, -7.0, 0.0), '3_54': (3, -8.0, 0.0), '3_55': (3, -9.0, 0.0), '3_56': (3, -10.0, 0.0), '3_57': (3, -11.0, 0.0), '3_58': (3, -12.0, 0.0), '3_59': (3, -13.0, 0.0), '3_60': (3, -14.0, 0.0), '3_61': (3, -15.0, 0.0), '3_62': (3, -16.0, 0.0), '3_63': (3, -17.0, 0.0), '3_64': (3, -18.0, 0.0), '3_65': (3, -19.0, 0.0), '3_66': (3, -20.0, 0.0), '3_67': (3, -21.0, 0.0), '3_68': (3, -22.0, 0.0), '3_69': (3, -23.0, 0.0), '3_70': (3, -24.0, 0.0), '3_71': (3, -25.0, 0.0), '3_72': (3, -26.0, 0.0), '3_73': (3, -27.0, 0.0), '3_74': (3, -28.0, 0.0), '3_75': (3, -29.0, 0.0), '3_76': (3, -30.0, 0.0), '3_77': (3, -31.0, 0.0), '3_78': (3, -32.0, 0.0), '3_79': (3, -33.0, 0.0), '3_80': (3, -34.0, 0.0), '3_81': (3, -35.0, 0.0), '3_82': (3, -36.0, 0.0), '3_83': (3, -37.0, 0.0), '3_84': (3, -38.0, 0.0), '3_85': (3, -39.0, 0.0), '3_86': (3, -40.0, 0.0), '3_87': (3, -41.0, 0.0), '3_88': (3, -42.0, 0.0), '3_89': (3, -43.0, 0.0), '3_90': (3, -44.0, 0.0), '3_91': (3, -45.0, 0.0), '4_0': (4, 64.0, 0.0), '4_1': (4, 63.0, 0.0), '4_2': (4, 62.0, 0.0), '4_3': (4, 61.0, 0.0), '4_4': (4, 60.0, 0.0), '4_5': (4, 59.0, 0.0), '4_6': (4, 58.0, 0.0), '4_7': (4, 57.0, 0.0), '4_8': (4, 56.0, 0.0), '4_9': (4, 55.0, 0.0), '4_10': (4, 54.0, 0.0), '4_11': (4, 53.0, 0.0), '4_12': (4, 52.0, 0.0), '4_13': (4, 51.0, 0.0), '4_14': (4, 50.0, 0.0), '4_15': (4, 49.0, 0.0), '4_16': (4, 48.0, 0.0), '4_17': (4, 47.0, 0.0), '4_18': (4, 46.0, 0.0), '4_19': (4, 45.0, 0.0), '4_20': (4, 44.0, 0.0), '4_21': (4, 43.0, 0.0), '4_22': (4, 42.0, 0.0), '4_23': (4, 41.0, 0.0), '4_24': (4, 40.0, 0.0), '4_25': (4, 39.0, 0.0), '4_26': (4, 38.0, 0.0), '4_27': (4, 37.0, 0.0), '4_28': (4, 36.0, 0.0), '4_29': (4, 35.0, 0.0), '4_30': (4, 34.0, 0.0), '4_31': (4, 33.0, 0.0), '4_32': (4, 32.0, 0.0), '4_33': (4, 31.0, 0.0), '4_34': (4, 30.0, 0.0), '4_35': (4, 29.0, 0.0), '4_36': (4, 28.0, 0.0), '4_37': (4, 27.0, 0.0), '4_38': (4, 26.0, 0.0), '4_39': (4, 25.0, 0.0), '4_40': (4, 24.0, 0.0), '4_41': (4, 23.0, 0.0), '4_42': (4, 22.0, 0.0), '4_43': (4, 21.0, 0.0), '4_44': (4, 20.0, 0.0), '4_45': (4, 19.0, 0.0), '4_46': (4, 18.0, 0.0), '4_47': (4, 17.0, 0.0), '4_48': (4, 16.0, 0.0), '4_49': (4, 15.0, 0.0), '4_50': (4, 14.0, 0.0), '4_51': (4, 13.0, 0.0), '4_52': (4, 12.0, 0.0), '4_53': (4, 11.0, 0.0), '4_54': (4, 10.0, 0.0), '4_55': (4, 9.0, 0.0), '4_56': (4, 8.0, 0.0), '4_57': (4, 7.0, 0.0), '4_58': (4, 6.0, 0.0), '4_59': (4, 5.0, 0.0), '4_60': (4, 4.0, 0.0), '4_61': (4, 3.0, 0.0), '4_62': (4, 2.0, 0.0), '4_63': (4, 1.0, 0.0), '4_64': (4, 0.0, 0.0), '4_65': (4, -1.0, 0.0), '4_66': (4, -2.0, 0.0), '4_67': (4, -3.0, 0.0), '4_68': (4, -4.0, 0.0), '4_69': (4, -5.0, 0.0), '4_70': (4, -6.0, 0.0), '4_71': (4, -7.0, 0.0), '4_72': (4, -8.0, 0.0), '4_73': (4, -9.0, 0.0), '4_74': (4, -10.0, 0.0), '4_75': (4, -11.0, 0.0), '4_76': (4, -12.0, 0.0), '4_77': (4, -13.0, 0.0), '4_78': (4, -14.0, 0.0), '4_79': (4, -15.0, 0.0), '4_80': (4, -16.0, 0.0), '4_81': (4, -17.0, 0.0), '4_82': (4, -18.0, 0.0), '4_83': (4, -19.0, 0.0), '4_84': (4, -20.0, 0.0), '4_85': (4, -21.0, 0.0), '4_86': (4, -22.0, 0.0), '4_87': (4, -23.0, 0.0), '4_88': (4, -24.0, 0.0), '4_89': (4, -25.0, 0.0), '4_90': (4, -26.0, 0.0), '4_91': (4, -27.0, 0.0), '4_92': (4, -28.0, 0.0), '4_93': (4, -29.0, 0.0), '4_94': (4, -30.0, 0.0), '4_95': (4, -31.0, 0.0), '4_96': (4, -32.0, 0.0), '4_97': (4, -33.0, 0.0), '4_98': (4, -34.0, 0.0), '4_99': (4, -35.0, 0.0), '4_100': (4, -36.0, 0.0), '4_101': (4, -37.0, 0.0), '4_102': (4, -38.0, 0.0), '4_103': (4, -39.0, 0.0), '4_104': (4, -40.0, 0.0), '4_105': (4, -41.0, 0.0), '4_106': (4, -42.0, 0.0), '4_107': (4, -43.0, 0.0), '4_108': (4, -44.0, 0.0), '4_109': (4, -45.0, 0.0), '4_110': (4, -46.0, 0.0), '4_111': (4, -47.0, 0.0), '4_112': (4, -48.0, 0.0), '4_113': (4, -49.0, 0.0), '4_114': (4, -50.0, 0.0), '4_115': (4, -51.0, 0.0), '4_116': (4, -52.0, 0.0), '4_117': (4, -53.0, 0.0), '4_118': (4, -54.0, 0.0), '4_119': (4, -55.0, 0.0), '4_120': (4, -56.0, 0.0), '4_121': (4, -57.0, 0.0), '4_122': (4, -58.0, 0.0), '4_123': (4, -59.0, 0.0), '4_124': (4, -60.0, 0.0), '4_125': (4, -61.0, 0.0), '4_126': (4, -62.0, 0.0), '4_127': (4, -63.0, 0.0), '5_0': (5, 5.0, 0.0), '5_1': (5, 4.0, 0.0), '5_2': (5, 3.0, 0.0), '5_3': (5, 2.0, 0.0), '5_4': (5, 1.0, 0.0), '5_5': (5, 0.0, 0.0), '5_6': (5, -1.0, 0.0), '5_7': (5, -2.0, 0.0), '5_8': (5, -3.0, 0.0), '5_9': (5, -4.0, 0.0)}\n"
     ]
    }
   ],
   "source": [
    "for key in pos:\n",
    "    x, y = pos[key]\n",
    "    pos[key] = (x, y, 0.)\n",
    "\n",
    "print(pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "615ec32f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: [3.5, 0, 0], 1: [2.5, 0, 0], 2: [1.5, 0, 0], 3: [0.5, 0, 0], 4: [0, 0, 0]}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import bpy\n",
    "import bmesh\n",
    "\n",
    "import sys\n",
    "import os\n",
    "\n",
    "dir = os.path.dirname(bpy.data.filepath)\n",
    "if not dir in sys.path:\n",
    "    sys.path.append(dir )\n",
    "\n",
    "import positions1\n",
    "import imp\n",
    "imp.reload(positions1)\n",
    "from positions1 import *\n",
    "\n",
    "for node, (x, y, z) in node_positions.items():\n",
    "    node_positions[node] = (x, y * 0.01, z)\n",
    "\n",
    "\n",
    "# Create a new mesh and object\n",
    "mesh = bpy.data.meshes.new(\"GraphMesh\")\n",
    "obj = bpy.data.objects.new(\"GraphObject\", mesh)\n",
    "bpy.context.collection.objects.link(obj)\n",
    "\n",
    "# Create a BMesh to add vertices and edges\n",
    "bm = bmesh.new()\n",
    "bm_verts = {}\n",
    "for key, co in node_positions.items():\n",
    "    bm_verts[key] = bm.verts.new(co)\n",
    "\n",
    "# Add edges\n",
    "for edge in edges:\n",
    "    v1, v2 = edge\n",
    "    bm.edges.new((bm_verts[v1], bm_verts[v2]))\n",
    "\n",
    "# Write the bmesh to the mesh\n",
    "bm.to_mesh(mesh)\n",
    "\n",
    "# Apply the Geometry Nodes modifier\n",
    "modifier = obj.modifiers.new(name=\"GeometryNodes\", type='NODES')\n",
    "modifier.node_group = bpy.data.node_groups[\"default_node\"]\n",
    "\n",
    "modifier[\"Socket_2\"] = 2.2\n",
    "modifier[\"Socket_3\"] = 4.4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40c382d2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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