notebooks/tutorial_graph_dict.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ea4c239d",
   "metadata": {},
   "source": [
    "# Graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4b9f8b04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import networkx as nx\n",
    "G = nx.karate_club_graph()\n",
    "nx.draw(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e64d701c",
   "metadata": {},
   "source": [
    "Convert a graph into a dictionary of graph properties in tensor-format. Class `GraphDict` is supposed to behave like a python dict which has named tensor values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e9d868aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "from kgcnn.data.base import GraphDict\n",
    "graph_dict = GraphDict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b0e6ef87",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi'\n",
      " 'Mr. Hi' 'Officer' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Mr. Hi' 'Officer'\n",
      " 'Officer' 'Mr. Hi' 'Mr. Hi' 'Officer' 'Mr. Hi' 'Officer' 'Mr. Hi'\n",
      " 'Officer' 'Officer' 'Officer' 'Officer' 'Officer' 'Officer' 'Officer'\n",
      " 'Officer' 'Officer' 'Officer' 'Officer' 'Officer']\n"
     ]
    }
   ],
   "source": [
    "graph_dict.from_networkx(G, node_attributes=\"club\")\n",
    "print(graph_dict[\"club\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "003292ea",
   "metadata": {},
   "source": [
    "## Important: \n",
    "Functions to manipulate graph tensors are not methods of `GraphDict` anymore as of version >=2.1.1!\n",
    "\n",
    "Use Preprocessors class for graph dictionaires instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9f109147",
   "metadata": {},
   "outputs": [],
   "source": [
    "from kgcnn.graph.preprocessor import AddEdgeSelfLoops, MakeUndirectedEdges, SortEdgeIndices, NormalizeEdgeWeightsSymmetric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b931cd59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'node_number': array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33]),\n",
       " 'edge_indices': array([[ 0,  0],\n",
       "        [ 0,  1],\n",
       "        [ 0,  2],\n",
       "        [ 0,  3],\n",
       "        [ 0,  4],\n",
       "        [ 0,  5],\n",
       "        [ 0,  6],\n",
       "        [ 0,  7],\n",
       "        [ 0,  8],\n",
       "        [ 0, 10],\n",
       "        [ 0, 11],\n",
       "        [ 0, 12],\n",
       "        [ 0, 13],\n",
       "        [ 0, 17],\n",
       "        [ 0, 19],\n",
       "        [ 0, 21],\n",
       "        [ 0, 31],\n",
       "        [ 1,  0],\n",
       "        [ 1,  1],\n",
       "        [ 1,  2],\n",
       "        [ 1,  3],\n",
       "        [ 1,  7],\n",
       "        [ 1, 13],\n",
       "        [ 1, 17],\n",
       "        [ 1, 19],\n",
       "        [ 1, 21],\n",
       "        [ 1, 30],\n",
       "        [ 2,  0],\n",
       "        [ 2,  1],\n",
       "        [ 2,  2],\n",
       "        [ 2,  3],\n",
       "        [ 2,  7],\n",
       "        [ 2,  8],\n",
       "        [ 2,  9],\n",
       "        [ 2, 13],\n",
       "        [ 2, 27],\n",
       "        [ 2, 28],\n",
       "        [ 2, 32],\n",
       "        [ 3,  0],\n",
       "        [ 3,  1],\n",
       "        [ 3,  2],\n",
       "        [ 3,  3],\n",
       "        [ 3,  7],\n",
       "        [ 3, 12],\n",
       "        [ 3, 13],\n",
       "        [ 4,  0],\n",
       "        [ 4,  4],\n",
       "        [ 4,  6],\n",
       "        [ 4, 10],\n",
       "        [ 5,  0],\n",
       "        [ 5,  5],\n",
       "        [ 5,  6],\n",
       "        [ 5, 10],\n",
       "        [ 5, 16],\n",
       "        [ 6,  0],\n",
       "        [ 6,  4],\n",
       "        [ 6,  5],\n",
       "        [ 6,  6],\n",
       "        [ 6, 16],\n",
       "        [ 7,  0],\n",
       "        [ 7,  1],\n",
       "        [ 7,  2],\n",
       "        [ 7,  3],\n",
       "        [ 7,  7],\n",
       "        [ 8,  0],\n",
       "        [ 8,  2],\n",
       "        [ 8,  8],\n",
       "        [ 8, 30],\n",
       "        [ 8, 32],\n",
       "        [ 8, 33],\n",
       "        [ 9,  2],\n",
       "        [ 9,  9],\n",
       "        [ 9, 33],\n",
       "        [10,  0],\n",
       "        [10,  4],\n",
       "        [10,  5],\n",
       "        [10, 10],\n",
       "        [11,  0],\n",
       "        [11, 11],\n",
       "        [12,  0],\n",
       "        [12,  3],\n",
       "        [12, 12],\n",
       "        [13,  0],\n",
       "        [13,  1],\n",
       "        [13,  2],\n",
       "        [13,  3],\n",
       "        [13, 13],\n",
       "        [13, 33],\n",
       "        [14, 14],\n",
       "        [14, 32],\n",
       "        [14, 33],\n",
       "        [15, 15],\n",
       "        [15, 32],\n",
       "        [15, 33],\n",
       "        [16,  5],\n",
       "        [16,  6],\n",
       "        [16, 16],\n",
       "        [17,  0],\n",
       "        [17,  1],\n",
       "        [17, 17],\n",
       "        [18, 18],\n",
       "        [18, 32],\n",
       "        [18, 33],\n",
       "        [19,  0],\n",
       "        [19,  1],\n",
       "        [19, 19],\n",
       "        [19, 33],\n",
       "        [20, 20],\n",
       "        [20, 32],\n",
       "        [20, 33],\n",
       "        [21,  0],\n",
       "        [21,  1],\n",
       "        [21, 21],\n",
       "        [22, 22],\n",
       "        [22, 32],\n",
       "        [22, 33],\n",
       "        [23, 23],\n",
       "        [23, 25],\n",
       "        [23, 27],\n",
       "        [23, 29],\n",
       "        [23, 32],\n",
       "        [23, 33],\n",
       "        [24, 24],\n",
       "        [24, 25],\n",
       "        [24, 27],\n",
       "        [24, 31],\n",
       "        [25, 23],\n",
       "        [25, 24],\n",
       "        [25, 25],\n",
       "        [25, 31],\n",
       "        [26, 26],\n",
       "        [26, 29],\n",
       "        [26, 33],\n",
       "        [27,  2],\n",
       "        [27, 23],\n",
       "        [27, 24],\n",
       "        [27, 27],\n",
       "        [27, 33],\n",
       "        [28,  2],\n",
       "        [28, 28],\n",
       "        [28, 31],\n",
       "        [28, 33],\n",
       "        [29, 23],\n",
       "        [29, 26],\n",
       "        [29, 29],\n",
       "        [29, 32],\n",
       "        [29, 33],\n",
       "        [30,  1],\n",
       "        [30,  8],\n",
       "        [30, 30],\n",
       "        [30, 32],\n",
       "        [30, 33],\n",
       "        [31,  0],\n",
       "        [31, 24],\n",
       "        [31, 25],\n",
       "        [31, 28],\n",
       "        [31, 31],\n",
       "        [31, 32],\n",
       "        [31, 33],\n",
       "        [32,  2],\n",
       "        [32,  8],\n",
       "        [32, 14],\n",
       "        [32, 15],\n",
       "        [32, 18],\n",
       "        [32, 20],\n",
       "        [32, 22],\n",
       "        [32, 23],\n",
       "        [32, 29],\n",
       "        [32, 30],\n",
       "        [32, 31],\n",
       "        [32, 32],\n",
       "        [32, 33],\n",
       "        [33,  8],\n",
       "        [33,  9],\n",
       "        [33, 13],\n",
       "        [33, 14],\n",
       "        [33, 15],\n",
       "        [33, 18],\n",
       "        [33, 19],\n",
       "        [33, 20],\n",
       "        [33, 22],\n",
       "        [33, 23],\n",
       "        [33, 26],\n",
       "        [33, 27],\n",
       "        [33, 28],\n",
       "        [33, 29],\n",
       "        [33, 30],\n",
       "        [33, 31],\n",
       "        [33, 32],\n",
       "        [33, 33]]),\n",
       " 'club': array(['Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi',\n",
       "        'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Officer', 'Mr. Hi', 'Mr. Hi',\n",
       "        'Mr. Hi', 'Mr. Hi', 'Officer', 'Officer', 'Mr. Hi', 'Mr. Hi',\n",
       "        'Officer', 'Mr. Hi', 'Officer', 'Mr. Hi', 'Officer', 'Officer',\n",
       "        'Officer', 'Officer', 'Officer', 'Officer', 'Officer', 'Officer',\n",
       "        'Officer', 'Officer', 'Officer', 'Officer'], dtype='<U7'),\n",
       " 'edge_weights': array([[0.05882353],\n",
       "        [0.0766965 ],\n",
       "        [0.07312724],\n",
       "        [0.09166985],\n",
       "        [0.12126781],\n",
       "        [0.10846523],\n",
       "        [0.10846523],\n",
       "        [0.10846523],\n",
       "        [0.09901475],\n",
       "        [0.12126781],\n",
       "        [0.17149859],\n",
       "        [0.14002801],\n",
       "        [0.09901475],\n",
       "        [0.14002801],\n",
       "        [0.12126781],\n",
       "        [0.14002801],\n",
       "        [0.09166985],\n",
       "        [0.0766965 ],\n",
       "        [0.1       ],\n",
       "        [0.09534626],\n",
       "        [0.11952286],\n",
       "        [0.14142136],\n",
       "        [0.12909944],\n",
       "        [0.18257419],\n",
       "        [0.15811388],\n",
       "        [0.18257419],\n",
       "        [0.14142136],\n",
       "        [0.07312724],\n",
       "        [0.09534626],\n",
       "        [0.09090909],\n",
       "        [0.11396058],\n",
       "        [0.13483997],\n",
       "        [0.12309149],\n",
       "        [0.17407766],\n",
       "        [0.12309149],\n",
       "        [0.13483997],\n",
       "        [0.15075567],\n",
       "        [0.0836242 ],\n",
       "        [0.09166985],\n",
       "        [0.11952286],\n",
       "        [0.11396058],\n",
       "        [0.14285714],\n",
       "        [0.16903085],\n",
       "        [0.21821789],\n",
       "        [0.15430335],\n",
       "        [0.12126781],\n",
       "        [0.25      ],\n",
       "        [0.2236068 ],\n",
       "        [0.25      ],\n",
       "        [0.10846523],\n",
       "        [0.2       ],\n",
       "        [0.2       ],\n",
       "        [0.2236068 ],\n",
       "        [0.25819889],\n",
       "        [0.10846523],\n",
       "        [0.2236068 ],\n",
       "        [0.2       ],\n",
       "        [0.2       ],\n",
       "        [0.25819889],\n",
       "        [0.10846523],\n",
       "        [0.14142136],\n",
       "        [0.13483997],\n",
       "        [0.16903085],\n",
       "        [0.2       ],\n",
       "        [0.09901475],\n",
       "        [0.12309149],\n",
       "        [0.16666667],\n",
       "        [0.18257419],\n",
       "        [0.1132277 ],\n",
       "        [0.09622504],\n",
       "        [0.17407766],\n",
       "        [0.33333333],\n",
       "        [0.13608276],\n",
       "        [0.12126781],\n",
       "        [0.25      ],\n",
       "        [0.2236068 ],\n",
       "        [0.25      ],\n",
       "        [0.17149859],\n",
       "        [0.5       ],\n",
       "        [0.14002801],\n",
       "        [0.21821789],\n",
       "        [0.33333333],\n",
       "        [0.09901475],\n",
       "        [0.12909944],\n",
       "        [0.12309149],\n",
       "        [0.15430335],\n",
       "        [0.16666667],\n",
       "        [0.09622504],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.25819889],\n",
       "        [0.25819889],\n",
       "        [0.33333333],\n",
       "        [0.14002801],\n",
       "        [0.18257419],\n",
       "        [0.33333333],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.12126781],\n",
       "        [0.15811388],\n",
       "        [0.25      ],\n",
       "        [0.11785113],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.14002801],\n",
       "        [0.18257419],\n",
       "        [0.33333333],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.16666667],\n",
       "        [0.20412415],\n",
       "        [0.18257419],\n",
       "        [0.18257419],\n",
       "        [0.1132277 ],\n",
       "        [0.09622504],\n",
       "        [0.25      ],\n",
       "        [0.25      ],\n",
       "        [0.2236068 ],\n",
       "        [0.18898224],\n",
       "        [0.20412415],\n",
       "        [0.25      ],\n",
       "        [0.25      ],\n",
       "        [0.18898224],\n",
       "        [0.33333333],\n",
       "        [0.25819889],\n",
       "        [0.13608276],\n",
       "        [0.13483997],\n",
       "        [0.18257419],\n",
       "        [0.2236068 ],\n",
       "        [0.2       ],\n",
       "        [0.10540926],\n",
       "        [0.15075567],\n",
       "        [0.25      ],\n",
       "        [0.18898224],\n",
       "        [0.11785113],\n",
       "        [0.18257419],\n",
       "        [0.25819889],\n",
       "        [0.2       ],\n",
       "        [0.12403473],\n",
       "        [0.10540926],\n",
       "        [0.14142136],\n",
       "        [0.18257419],\n",
       "        [0.2       ],\n",
       "        [0.12403473],\n",
       "        [0.10540926],\n",
       "        [0.09166985],\n",
       "        [0.18898224],\n",
       "        [0.18898224],\n",
       "        [0.18898224],\n",
       "        [0.14285714],\n",
       "        [0.10482848],\n",
       "        [0.08908708],\n",
       "        [0.0836242 ],\n",
       "        [0.1132277 ],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.1132277 ],\n",
       "        [0.12403473],\n",
       "        [0.12403473],\n",
       "        [0.10482848],\n",
       "        [0.07692308],\n",
       "        [0.06537205],\n",
       "        [0.09622504],\n",
       "        [0.13608276],\n",
       "        [0.09622504],\n",
       "        [0.13608276],\n",
       "        [0.13608276],\n",
       "        [0.13608276],\n",
       "        [0.11785113],\n",
       "        [0.13608276],\n",
       "        [0.13608276],\n",
       "        [0.09622504],\n",
       "        [0.13608276],\n",
       "        [0.10540926],\n",
       "        [0.11785113],\n",
       "        [0.10540926],\n",
       "        [0.10540926],\n",
       "        [0.08908708],\n",
       "        [0.06537205],\n",
       "        [0.05555556]])}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# graph_dict.add_edge_self_loops().make_undirected_edges().sort_edge_indices().normalize_edge_weights_sym()\n",
    "graph_dict.update(AddEdgeSelfLoops()(graph_dict))\n",
    "graph_dict.update(MakeUndirectedEdges()(graph_dict))\n",
    "graph_dict.update(SortEdgeIndices()(graph_dict))\n",
    "graph_dict.update(NormalizeEdgeWeightsSymmetric()(graph_dict))\n",
    "graph_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a78652ff",
   "metadata": {},
   "source": [
    "Each Preprocessors takes arguments to specify the name of the tensors to interpret as e.g. indices, attributes etc. that overwrites the default naming such as \"edge_indices\" and \"node_labels\". See the documentation of Preprocessors of `GraphPreProcessorBase`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e53f01a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'in_place': False,\n",
       " 'name': 'add_edge_self_loops',\n",
       " 'edge_indices': 'edge_indices',\n",
       " 'edge_attributes': '^edge_(?!indices$).*',\n",
       " 'remove_duplicates': True,\n",
       " 'sort_indices': True,\n",
       " 'fill_value': 0}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AddEdgeSelfLoops().get_config()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "88e3cfce",
   "metadata": {},
   "outputs": [],
   "source": [
    "from kgcnn.graph.preprocessor import SetAngle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "50133428",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'node_number': array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33]),\n",
       " 'edge_indices': array([[ 0,  0],\n",
       "        [ 0,  1],\n",
       "        [ 0,  2],\n",
       "        [ 0,  3],\n",
       "        [ 0,  4],\n",
       "        [ 0,  5],\n",
       "        [ 0,  6],\n",
       "        [ 0,  7],\n",
       "        [ 0,  8],\n",
       "        [ 0, 10],\n",
       "        [ 0, 11],\n",
       "        [ 0, 12],\n",
       "        [ 0, 13],\n",
       "        [ 0, 17],\n",
       "        [ 0, 19],\n",
       "        [ 0, 21],\n",
       "        [ 0, 31],\n",
       "        [ 1,  0],\n",
       "        [ 1,  1],\n",
       "        [ 1,  2],\n",
       "        [ 1,  3],\n",
       "        [ 1,  7],\n",
       "        [ 1, 13],\n",
       "        [ 1, 17],\n",
       "        [ 1, 19],\n",
       "        [ 1, 21],\n",
       "        [ 1, 30],\n",
       "        [ 2,  0],\n",
       "        [ 2,  1],\n",
       "        [ 2,  2],\n",
       "        [ 2,  3],\n",
       "        [ 2,  7],\n",
       "        [ 2,  8],\n",
       "        [ 2,  9],\n",
       "        [ 2, 13],\n",
       "        [ 2, 27],\n",
       "        [ 2, 28],\n",
       "        [ 2, 32],\n",
       "        [ 3,  0],\n",
       "        [ 3,  1],\n",
       "        [ 3,  2],\n",
       "        [ 3,  3],\n",
       "        [ 3,  7],\n",
       "        [ 3, 12],\n",
       "        [ 3, 13],\n",
       "        [ 4,  0],\n",
       "        [ 4,  4],\n",
       "        [ 4,  6],\n",
       "        [ 4, 10],\n",
       "        [ 5,  0],\n",
       "        [ 5,  5],\n",
       "        [ 5,  6],\n",
       "        [ 5, 10],\n",
       "        [ 5, 16],\n",
       "        [ 6,  0],\n",
       "        [ 6,  4],\n",
       "        [ 6,  5],\n",
       "        [ 6,  6],\n",
       "        [ 6, 16],\n",
       "        [ 7,  0],\n",
       "        [ 7,  1],\n",
       "        [ 7,  2],\n",
       "        [ 7,  3],\n",
       "        [ 7,  7],\n",
       "        [ 8,  0],\n",
       "        [ 8,  2],\n",
       "        [ 8,  8],\n",
       "        [ 8, 30],\n",
       "        [ 8, 32],\n",
       "        [ 8, 33],\n",
       "        [ 9,  2],\n",
       "        [ 9,  9],\n",
       "        [ 9, 33],\n",
       "        [10,  0],\n",
       "        [10,  4],\n",
       "        [10,  5],\n",
       "        [10, 10],\n",
       "        [11,  0],\n",
       "        [11, 11],\n",
       "        [12,  0],\n",
       "        [12,  3],\n",
       "        [12, 12],\n",
       "        [13,  0],\n",
       "        [13,  1],\n",
       "        [13,  2],\n",
       "        [13,  3],\n",
       "        [13, 13],\n",
       "        [13, 33],\n",
       "        [14, 14],\n",
       "        [14, 32],\n",
       "        [14, 33],\n",
       "        [15, 15],\n",
       "        [15, 32],\n",
       "        [15, 33],\n",
       "        [16,  5],\n",
       "        [16,  6],\n",
       "        [16, 16],\n",
       "        [17,  0],\n",
       "        [17,  1],\n",
       "        [17, 17],\n",
       "        [18, 18],\n",
       "        [18, 32],\n",
       "        [18, 33],\n",
       "        [19,  0],\n",
       "        [19,  1],\n",
       "        [19, 19],\n",
       "        [19, 33],\n",
       "        [20, 20],\n",
       "        [20, 32],\n",
       "        [20, 33],\n",
       "        [21,  0],\n",
       "        [21,  1],\n",
       "        [21, 21],\n",
       "        [22, 22],\n",
       "        [22, 32],\n",
       "        [22, 33],\n",
       "        [23, 23],\n",
       "        [23, 25],\n",
       "        [23, 27],\n",
       "        [23, 29],\n",
       "        [23, 32],\n",
       "        [23, 33],\n",
       "        [24, 24],\n",
       "        [24, 25],\n",
       "        [24, 27],\n",
       "        [24, 31],\n",
       "        [25, 23],\n",
       "        [25, 24],\n",
       "        [25, 25],\n",
       "        [25, 31],\n",
       "        [26, 26],\n",
       "        [26, 29],\n",
       "        [26, 33],\n",
       "        [27,  2],\n",
       "        [27, 23],\n",
       "        [27, 24],\n",
       "        [27, 27],\n",
       "        [27, 33],\n",
       "        [28,  2],\n",
       "        [28, 28],\n",
       "        [28, 31],\n",
       "        [28, 33],\n",
       "        [29, 23],\n",
       "        [29, 26],\n",
       "        [29, 29],\n",
       "        [29, 32],\n",
       "        [29, 33],\n",
       "        [30,  1],\n",
       "        [30,  8],\n",
       "        [30, 30],\n",
       "        [30, 32],\n",
       "        [30, 33],\n",
       "        [31,  0],\n",
       "        [31, 24],\n",
       "        [31, 25],\n",
       "        [31, 28],\n",
       "        [31, 31],\n",
       "        [31, 32],\n",
       "        [31, 33],\n",
       "        [32,  2],\n",
       "        [32,  8],\n",
       "        [32, 14],\n",
       "        [32, 15],\n",
       "        [32, 18],\n",
       "        [32, 20],\n",
       "        [32, 22],\n",
       "        [32, 23],\n",
       "        [32, 29],\n",
       "        [32, 30],\n",
       "        [32, 31],\n",
       "        [32, 32],\n",
       "        [32, 33],\n",
       "        [33,  8],\n",
       "        [33,  9],\n",
       "        [33, 13],\n",
       "        [33, 14],\n",
       "        [33, 15],\n",
       "        [33, 18],\n",
       "        [33, 19],\n",
       "        [33, 20],\n",
       "        [33, 22],\n",
       "        [33, 23],\n",
       "        [33, 26],\n",
       "        [33, 27],\n",
       "        [33, 28],\n",
       "        [33, 29],\n",
       "        [33, 30],\n",
       "        [33, 31],\n",
       "        [33, 32],\n",
       "        [33, 33]]),\n",
       " 'club': array(['Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi',\n",
       "        'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Officer', 'Mr. Hi', 'Mr. Hi',\n",
       "        'Mr. Hi', 'Mr. Hi', 'Officer', 'Officer', 'Mr. Hi', 'Mr. Hi',\n",
       "        'Officer', 'Mr. Hi', 'Officer', 'Mr. Hi', 'Officer', 'Officer',\n",
       "        'Officer', 'Officer', 'Officer', 'Officer', 'Officer', 'Officer',\n",
       "        'Officer', 'Officer', 'Officer', 'Officer'], dtype='<U7'),\n",
       " 'edge_weights': array([[0.05882353],\n",
       "        [0.0766965 ],\n",
       "        [0.07312724],\n",
       "        [0.09166985],\n",
       "        [0.12126781],\n",
       "        [0.10846523],\n",
       "        [0.10846523],\n",
       "        [0.10846523],\n",
       "        [0.09901475],\n",
       "        [0.12126781],\n",
       "        [0.17149859],\n",
       "        [0.14002801],\n",
       "        [0.09901475],\n",
       "        [0.14002801],\n",
       "        [0.12126781],\n",
       "        [0.14002801],\n",
       "        [0.09166985],\n",
       "        [0.0766965 ],\n",
       "        [0.1       ],\n",
       "        [0.09534626],\n",
       "        [0.11952286],\n",
       "        [0.14142136],\n",
       "        [0.12909944],\n",
       "        [0.18257419],\n",
       "        [0.15811388],\n",
       "        [0.18257419],\n",
       "        [0.14142136],\n",
       "        [0.07312724],\n",
       "        [0.09534626],\n",
       "        [0.09090909],\n",
       "        [0.11396058],\n",
       "        [0.13483997],\n",
       "        [0.12309149],\n",
       "        [0.17407766],\n",
       "        [0.12309149],\n",
       "        [0.13483997],\n",
       "        [0.15075567],\n",
       "        [0.0836242 ],\n",
       "        [0.09166985],\n",
       "        [0.11952286],\n",
       "        [0.11396058],\n",
       "        [0.14285714],\n",
       "        [0.16903085],\n",
       "        [0.21821789],\n",
       "        [0.15430335],\n",
       "        [0.12126781],\n",
       "        [0.25      ],\n",
       "        [0.2236068 ],\n",
       "        [0.25      ],\n",
       "        [0.10846523],\n",
       "        [0.2       ],\n",
       "        [0.2       ],\n",
       "        [0.2236068 ],\n",
       "        [0.25819889],\n",
       "        [0.10846523],\n",
       "        [0.2236068 ],\n",
       "        [0.2       ],\n",
       "        [0.2       ],\n",
       "        [0.25819889],\n",
       "        [0.10846523],\n",
       "        [0.14142136],\n",
       "        [0.13483997],\n",
       "        [0.16903085],\n",
       "        [0.2       ],\n",
       "        [0.09901475],\n",
       "        [0.12309149],\n",
       "        [0.16666667],\n",
       "        [0.18257419],\n",
       "        [0.1132277 ],\n",
       "        [0.09622504],\n",
       "        [0.17407766],\n",
       "        [0.33333333],\n",
       "        [0.13608276],\n",
       "        [0.12126781],\n",
       "        [0.25      ],\n",
       "        [0.2236068 ],\n",
       "        [0.25      ],\n",
       "        [0.17149859],\n",
       "        [0.5       ],\n",
       "        [0.14002801],\n",
       "        [0.21821789],\n",
       "        [0.33333333],\n",
       "        [0.09901475],\n",
       "        [0.12909944],\n",
       "        [0.12309149],\n",
       "        [0.15430335],\n",
       "        [0.16666667],\n",
       "        [0.09622504],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.25819889],\n",
       "        [0.25819889],\n",
       "        [0.33333333],\n",
       "        [0.14002801],\n",
       "        [0.18257419],\n",
       "        [0.33333333],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.12126781],\n",
       "        [0.15811388],\n",
       "        [0.25      ],\n",
       "        [0.11785113],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.14002801],\n",
       "        [0.18257419],\n",
       "        [0.33333333],\n",
       "        [0.33333333],\n",
       "        [0.16012815],\n",
       "        [0.13608276],\n",
       "        [0.16666667],\n",
       "        [0.20412415],\n",
       "        [0.18257419],\n",
       "        [0.18257419],\n",
       "        [0.1132277 ],\n",
       "        [0.09622504],\n",
       "        [0.25      ],\n",
       "        [0.25      ],\n",
       "        [0.2236068 ],\n",
       "        [0.18898224],\n",
       "        [0.20412415],\n",
       "        [0.25      ],\n",
       "        [0.25      ],\n",
       "        [0.18898224],\n",
       "        [0.33333333],\n",
       "        [0.25819889],\n",
       "        [0.13608276],\n",
       "        [0.13483997],\n",
       "        [0.18257419],\n",
       "        [0.2236068 ],\n",
       "        [0.2       ],\n",
       "        [0.10540926],\n",
       "        [0.15075567],\n",
       "        [0.25      ],\n",
       "        [0.18898224],\n",
       "        [0.11785113],\n",
       "        [0.18257419],\n",
       "        [0.25819889],\n",
       "        [0.2       ],\n",
       "        [0.12403473],\n",
       "        [0.10540926],\n",
       "        [0.14142136],\n",
       "        [0.18257419],\n",
       "        [0.2       ],\n",
       "        [0.12403473],\n",
       "        [0.10540926],\n",
       "        [0.09166985],\n",
       "        [0.18898224],\n",
       "        [0.18898224],\n",
       "        [0.18898224],\n",
       "        [0.14285714],\n",
       "        [0.10482848],\n",
       "        [0.08908708],\n",
       "        [0.0836242 ],\n",
       "        [0.1132277 ],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.16012815],\n",
       "        [0.1132277 ],\n",
       "        [0.12403473],\n",
       "        [0.12403473],\n",
       "        [0.10482848],\n",
       "        [0.07692308],\n",
       "        [0.06537205],\n",
       "        [0.09622504],\n",
       "        [0.13608276],\n",
       "        [0.09622504],\n",
       "        [0.13608276],\n",
       "        [0.13608276],\n",
       "        [0.13608276],\n",
       "        [0.11785113],\n",
       "        [0.13608276],\n",
       "        [0.13608276],\n",
       "        [0.09622504],\n",
       "        [0.13608276],\n",
       "        [0.10540926],\n",
       "        [0.11785113],\n",
       "        [0.10540926],\n",
       "        [0.10540926],\n",
       "        [0.08908708],\n",
       "        [0.06537205],\n",
       "        [0.05555556]]),\n",
       " 'angle_combinations': array([[  0,  17],\n",
       "        [  0,  27],\n",
       "        [  0,  38],\n",
       "        ...,\n",
       "        [189, 151],\n",
       "        [189, 158],\n",
       "        [189, 171]]),\n",
       " 'angle_indices_nodes': array([[ 0,  0,  1],\n",
       "        [ 0,  0,  2],\n",
       "        [ 0,  0,  3],\n",
       "        ...,\n",
       "        [33, 33, 30],\n",
       "        [33, 33, 31],\n",
       "        [33, 33, 32]])}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SetAngle(range_indices=\"edge_indices\", angle_indices=\"angle_combinations\", in_place=True)(graph_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78d17239",
   "metadata": {},
   "source": [
    "## Warning!!!\n",
    "\n",
    "If you change the graph tensors, redefine edges or delete nodes, then dependent tensors such as attributes or angles or index maps are not modified accordingly or updated automatically, since `GraphDict` is nothing but a dictionary of tensor values. \n",
    "\n",
    "Preprocessor such as `SortEdgeIndices`, however, allow to add a pattern-matching string or a list of names for edge dependent tensors such as e.g. \"edge\\_attributes\" or in general all \"\\^edge\\_.\\*\" names to sort accordingly. Check the documentation for more details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "148966fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G_modified = graph_dict.to_networkx()\n",
    "nx.draw(G_modified)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ccb1ae8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}