{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import scipy.stats as sts\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "#import conviction files\n",
    "from conviction_helpers import *\n",
    "from conviction_system_logic import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook uses the differential games framework developed by BlockScience. It is currently in private beta, and building towards a full open source release.\n",
    "\n",
    "**Description:**\n",
    "\n",
    "cadCAD is a Python library that assists in the processes of designing, testing and validating complex systems through simulation. At its core, cadCAD is a differential games engine that supports parameter sweeping and Monte Carlo analyses and can be easily integrated with other scientific computing Python modules and data science workflows.\n",
    "\n",
    "To learn more about cadCAD, follow our [tutorial series](https://github.com/BlockScience/cadCAD-Tutorials/tree/master/01%20Tutorials)\n",
    "\n",
    "**Installing cadCAD:**\n",
    "\n",
    "cadCAD is in private beta. Tokens are issued to participants. Replace `<TOKEN>` in the installation URL below\n",
    "```bash\n",
    "pip3 install cadCAD --extra-index-url https://<TOKEN>@repo.fury.io/blockscience/\n",
    "```\n",
    "\n",
    "If you'd like to participate in the beta program, contact cadcad [at] block [dot] science.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#THIS policy is one of the main paramters of this system!\n",
    "\n",
    "#maximum share of funds a proposal can take\n",
    "default_beta = .25 #later we should set this to be param so we can sweep it\n",
    "# tuning param for the trigger function\n",
    "default_rho = .1*default_beta**2\n",
    "\n",
    "def trigger_threshold(requested, funds, supply, beta=default_beta , rho=default_rho):\n",
    "    \n",
    "    share = requested/funds\n",
    "    if share < beta:\n",
    "        return rho*supply/(beta-share)**2\n",
    "    else: \n",
    "        return np.inf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Zargham/Documents/GitHub/conviction/conviction_helpers.py:158: RuntimeWarning: divide by zero encountered in log10\n",
      "  demo_data_Z0[sof_ind,ts_ind] = np.log10(trigger)\n",
      "/Users/Zargham/Documents/GitHub/conviction/conviction_helpers.py:160: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  demo_data_Z2[sof_ind,ts_ind] = trigger/tc #share of maximum possible conviction\n",
      "/Users/Zargham/Documents/GitHub/conviction/conviction_helpers.py:161: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  demo_data_Z3[sof_ind,ts_ind] = np.log10(trigger/tc)\n"
     ]
    }
   ],
   "source": [
    "dict1 = trigger_sweep('token_supply',trigger_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.15940000000000001, 1008990000.0, 'fixed alpha = 0.5')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trigger_plotter(dict1['share_of_funds'],\n",
    "                dict1['log10_trigger'], \n",
    "                'log10_trigger',\n",
    "                dict1['total_supply'],\n",
    "                'Token Supply')\n",
    "axis = plt.axis()\n",
    "plt.text(.2*axis[0]+.8*axis[1],axis[-1]*1.01, 'fixed alpha = 0.5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict2 = trigger_sweep('alpha',trigger_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['log10_trigger', 'trigger', 'share_of_max_conv', 'log10_share_of_max_conv', 'alpha', 'share_of_funds'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict2.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trigger_plotter(dict2['share_of_funds'],\n",
    "                dict2['log10_share_of_max_conv'], \n",
    "                'Log10 Share of Conviction Required to Pass',\n",
    "                dict2['alpha'],\n",
    "                'alpha')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "n= 35 #initial participants\n",
    "m= 3 #initial proposals\n",
    "\n",
    "initial_sentiment = .7\n",
    "\n",
    "network, initial_funds, initial_supply, total_requested = initialize_network(n,m,total_funds_given_total_supply,trigger_threshold)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note from Kris, consider: substitutibility of proposals st when a substitute passes, affinity for the others goes away; this will make the process more realistic because proposals will end up never passing.\n",
    "\n",
    "implementation notes:\n",
    "- create substitutability matrix (proposal x proposal)\n",
    "- update accounting when thing pass: change affinities and should affect sentiments\n",
    "- define a new 'type' of proposals for tracking 'dead' ones (no longer candidates = zero tokens in support)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "proposals = get_nodes_by_type(network, 'proposal')\n",
    "participants = get_nodes_by_type(network, 'participant')\n",
    "\n",
    "supporters = get_edges_by_type(network, 'support')\n",
    "influencers = get_edges_by_type(network, 'influence')\n",
    "competitors = get_edges_by_type(network, 'conflict')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'proposal',\n",
       " 'conviction': 0,\n",
       " 'status': 'candidate',\n",
       " 'age': 0,\n",
       " 'funds_requested': 76004.9165822238,\n",
       " 'trigger': 1911.7540934361125}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sample proposal\n",
    "network.nodes[proposals[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'participant',\n",
       " 'holdings': 899.7297436837233,\n",
       " 'sentiment': 0.7243294825269956}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sample participant\n",
    "network.nodes[participants[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'affinity': 0.006885421446880757,\n",
       " 'tokens': 0,\n",
       " 'conviction': 0,\n",
       " 'type': 'support'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sample relationship participant to proposal\n",
    "network.edges[supporters[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'influence': 4.311864724268468, 'type': 'influence'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "network.edges[influencers[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'conflict': 0.9269205901765302, 'type': 'conflict'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "network.edges[competitors[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Participants Social Network')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw_kamada_kawai(network, nodelist = participants, edgelist=influencers)\n",
    "plt.title('Participants Social Network')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Proposals Conflict Network')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFPCAYAAACLVy0dAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAHTpJREFUeJzt3XtwVOXBx/FfEnK/k4RrIIQAgWyyIWrwBia16GhEBBTRajtQdeqF2k6rM6Ktg9OOjtTOWGvrtQzVVupUfBEqtlMtovX1EihkcyGRFHMjQriEkECWXHbfP/ZldT0JBLJk90m+n5kMJrt79tnkj6/nnOc5J8TtdrsFAACMEBroAQAAgIEj3AAAGIRwAwBgEMINAIBBCDcAAAYh3AAAGIRwA0GmuLhYL7/8cqCH4aOmpkYFBQWKj4/XM888o+XLl+tnP/uZJOnDDz9UdnZ2gEc49L7+OwCGEuHGsDNlyhRFR0crLi5OY8eO1YoVK9TR0RHoYZ13XV1dWr16taZPn67Y2FhNmTJF3//+91VXVzfoba9Zs0bFxcVqb2/X/fff7/PYvHnzVFNTc8ZtrFu3TnPnzj3tc4qLixUVFaXGxkbvz959911NmTJlQONcvXq1br/99gE9FzAV4cawtHnzZnV0dOg///mPSktL9ctf/tLyHLfbLZfLFYDRnR833XSTNm3apNdee01tbW0qKyvThRdeqPfee2/Q266vr5fNZvPDKM8sNjZWv/jFL4bkvc5Vb29voIeAEYxwY1ibOHGirr32WlVUVEjy7NE98sgjuvzyyxUTE6O9e/equblZCxcu1OjRozVt2jS99NJL3tevXr1aN910k5YtW6b4+HhdcMEFKisr8z6+e/duFRcXKykpSTabTZs2bfI+tmXLFuXk5Cg+Pl4TJ07UU089JUlqbW3VggULlJaWpuTkZC1YsEBNTU19jr+2tlZFRUVKTExUamqqli1b1ufz3n33Xf3zn//UW2+9pcLCQo0aNUqJiYm67777dMcdd0jSGT/nzTffrO9973uKj4+XzWbT9u3bJUlXXnmltm7dqpUrVyouLk6ff/65z3u///77Sk9P937f2NioJUuWKC0tTSkpKVq5cqV2796tu+++Wx9//LHi4uKUlJTU79/s/vvv1/r161VbW9vn483NzbrxxhuVlpamzMxMPfPMM5Kkv//973r88cf1+uuvKy4uTvn5+dq6davy8vK8r50/f77mzJnj/X7u3LnauHGjpNP/LZcvX6577rlHJSUlio2N1datW33G1N7erm9961u6//77xcUocb4RbgxrjY2N2rJliwoKCrw/e/XVV/Xiiy+qvb1dGRkZuvXWW5Wenq7m5ma98cYbevjhh332Ut966y0tXbpUR44c0Xe+8x0tWrRI3d3d6u7u1vXXX6+rr75aLS0t+u1vf6vbbrvNe9j4jjvu0AsvvKD29nZVVFToyiuvlCS5XC6tWLFC9fX1amhoUHR0tFauXNnn+H/+85/r6quvVmtrq5qamvTDH/6wz+e9++67mjNnjiZNmtTv7+JMn3PTpk265ZZbdPToUS1cuNA7pn/961+aN2+enn32WXV0dGjGjBn9vkdvb68WLFigjIwM1dXVad++fbrllls0a9YsPf/887r00kvV0dGho0eP9ruNiRMn6q677tLq1astj7lcLl1//fXKz8/Xvn379N577+npp5/WP/7xD11zzTV6+OGHtWzZMnV0dKisrEyXXnqpamtrdejQIfX09KiiokJNTU1qb29XZ2enduzYoXnz5p3xbylJr732mh555BG1t7f7HPI/fPiwvv3tb+vyyy/XM888o5CQkH4/G+APhBvD0qJFi5SUlKS5c+eqqKhIDz/8sPex5cuXy2azadSoUdq/f7/+/e9/68knn1RUVJRmz56tO++8U6+++qr3+RdeeKFuuukmhYeH6yc/+YmcTqc++eQTffLJJ+ro6NBDDz2kiIgIXXnllVqwYIHWr18vSQoPD1dVVZWOHTum5ORkXXDBBZKklJQU3XjjjYqJiVF8fLweeeQRbdu2rc/PER4ervr6ejU3NysqKqrfc8SHDx/W+PHj+/19NDY2nvFzzp07VyUlJQoLC9N3v/tdnyMLA/XZZ5+publZv/rVrxQbG3vaMZ/OqlWrtHnzZlVWVvr8vLS0VAcPHtSjjz6qiIgITZ06VXfddZf+8pe/9LmdqKgoXXTRRfrggw+0fft22e12zZ07Vx999JE++eQTTZ8+XSkpKWf8W0rSDTfcoMsvv1yhoaGKioqS5Nn7Lyoq0tKlS/s8HQOcD4Qbw9LGjRt19OhR1dfX6/e//72io6O9j319r7S5uVmjR49WfHy892cZGRnat29fn88PDQ317rU2Nzdr0qRJCg0N7fO1GzZs0JYtW5SRkaGioiJ9/PHHkqQTJ07oBz/4gTIyMpSQkKArrrhCR48e7fO86Zo1a+R2uzVnzhzZbDatXbu2z8+bkpKiL7/8st/fx0A+57hx47z/HRMTI6fTqZ6enn632ZfGxkZlZGRo1KhRZ/W6b0pLS9PKlSv16KOP+vz81P/EJCUleb8ef/xxHThwoN9tFRUV6f3339cHH3ygoqIiFRcXa9u2bdq2bZuKiook6Yx/S0l9Hs14++231dnZqbvvvntQnxc4G4QbI87XD2VOmDBBR44cUXt7u/dnDQ0Nmjhxovf7r89wdrlcampq0oQJEzRhwgQ1Njb6THD7+msLCwv11ltvqaWlRYsWLdLNN98sSfr1r3+tmpoaffrppzp27Jg++OADSerz3Oi4ceP00ksvqbm5WS+88ILuvffePs/9zp8/X5999lm/58oH8jn9YdKkSWpoaOgz+Gd7CPnBBx/U1q1btWPHDp/tZ2Zm6ujRo96v9vZ2bdmypd/3+Ga4i4qKLOE+09+yv23fdddduuaaa1RSUqLjx4+f1ecDzhXhxog2adIkXXbZZVq1apWcTqccDof+8Ic/6LbbbvM+Z8eOHXrzzTfV09Ojp59+WpGRkbrkkkt08cUXKzY2VmvWrFF3d7fef/99bd68Wbfccou6urr05z//WW1tbQoPD1dCQoLCwsIkeSYyRUdHKykpSUeOHNFjjz3W7/j++te/emOcnJyskJAQ73a+bv78+brqqqu0ePFi7dixQz09PWpvb9fzzz+vtWvXDuhz+sOcOXM0fvx4PfTQQzp+/LicTqc++ugjSdLYsWPV1NSkrq6uAW0rKSlJP/3pT7VmzRqf7SckJOjJJ59UZ2enent7VVFRodLSUu971NXV+QT4sssuU01NjT777DPvkYv6+np9+umnuuKKKyTptH/LM3n22WeVnZ2tBQsWqLOzc8C/K+BcEW6MeOvXr1ddXZ0mTJigxYsX67HHHtNVV13lffyGG27Q66+/ruTkZL366qt68803FR4eroiICG3atEnvvPOOUlNTde+99+qVV17RzJkzJXkmwU2ZMkUJCQl6/vnn9ac//UmS9OMf/1idnZ1KTU3VJZdcomuuuabfsZWWluriiy9WXFycFi5cqN/85jfKzMzs87lvvPGGSkpKtGzZMiUmJio3N1fbt2/X/PnzB/Q5/SEsLEybN29WbW2tJk+erPT0dL3++uuSPLPTbTabxo0bp9TU1AFt70c/+pHP/6ic2v6uXbuUmZmp1NRU3XnnnWpra5MkLV26VJLn1MGpOQWxsbG64IILZLPZFBERIUm69NJLlZGRoTFjxkjSGf+WpxMSEqIXX3xRkyZN0g033CCn0znA3xZwbkLcrF0A+rV69WrV1tZ6owsAgcYeNwAABiHcAAAYhEPlAAAYhD1uAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMQrgBADAI4QYAwCCEGwAAgxBuAAAMMirQAwAAnFlLi7RuneRwSG1tUmKiZLdLK1ZIaWmBHh2GUojb7XYHehAAgL6VlkpPPCG9847ne6fzq8eioyW3W7r2WmnVKqmwMDBjxNAi3AAQpJ57TnrgAamz0xPo/oSEeCL+1FPSPfcM3fgQGBwqB4AgdCraJ06c+blut+d5Dzzg+Z54D2/scQNAkCktlYqLBxbtb4qJkbZtky66yO/DQpBgVjkABJknnvAcHj8XnZ2e12P4Yo8bAIJIS4uUkeE7Ce1sRUVJDQ3MNh+u2OMGgCCybt3gtxES4p/tIDgRbgAIIg7H4Pa2Jc/h8vJy/4wHwYdwA0AQaWvzz3ZaW/2zHQQfloMBQAC1t7fL4XBo586d2rVrl/73f5dIKhn0dpOTBz82BCfCDQBDZP/+/d5An/p33759stlsKigo0IUXXqjISJvWrnXL6Qw55/eJjpby8vw4cAQVZpUDgJ+5XC7V1tb6BHrnzp3q7u5WQUGBCgoKNHv2bM2ePVvZ2dkaNeqrfShmleNMCDcADILT6VRlZaVPoB0Oh1JTU72BPvVvenq6QkLOvCe9ZIm0cePpL3Pan5AQafFiacOGc/gwMALhBoABam1t1a5du3z2pGtrazV9+nSfQM+ePVtJSUnn/D5cOQ2nQ7gB4BvcbrcaGxsth7qPHDkiu93usyedk5OjqKgov4/hbK5VfkpMDDcaGQkIN4ARraenR9XV1ZY96YiICMuh7qysLIWGDt0qWu4Ohr4QbgAjxvHjx32WXu3cuVNVVVVKT0+3HOoeN25coIcrSdq+3XPt8S1bPIH++jXMT92Pu6TEcz9uDo+PDIQbwLDU0tJiWXrV2NionJwcb5wLCgpkt9sVFxcX6OGe0cGDnsuYlpd7Lq6SnOxZ8rV8ObPHRxrCDcBoLpdLe/futZyPdjqdPnvRBQUFys7OVnh4eKCHDAwK4QZgjJMnT6qqqson0GVlZUpOTracj548efKAll4BpiHcAIJSW1ubZcLY559/rqysLMv56NGjRwd6uMCQIdwAAsrtdmvfvn2WQ90tLS2WpVc2m03R0dGBHjIQUIQbwJDp7e3V559/rp07d3ojvWvXLoWGhloOdU+bNk1hYWGBHjIQdAg3gPPixIkTKi8v9wl0RUWFxo8fb5k0Nm7cOM5HAwNEuAEM2qFDhyxLr+rq6jRz5kyfQNvtdiUkJAR6uIDRCDeAAXO73friiy8s56M7OjosE8ZmzZqliIiIQA8ZGHYIN4A+dXV1affu3ZalV/Hx8Zbz0VOmTOFQNzBECDcAHTt2TGVlZT570tXV1ZoyZYrl/tGpqamBHi4wohFuYARxu9368ssvLYe69+/fr9zcXJ896dzcXMXExAR6yAC+gXADw1Rvb6/27NljuYiJy+WyHOqeMWMGS68AQxBuYBjo7OxURUWFz150eXm5xo4da1l6NWHCBM5HAwYj3IBhDh8+bNmL3rt3r2bMmOET6Pz8fCUmJgZ6uAD8jHADQcrtdqu+vt5yPrqtrU35+fk+e9I5OTmKjIwM9JABDAHCDQSB7u5uVVdXWy5iEhMTYznUnZmZqdDQ0EAPGUCAEG5giLW3t8vhcPhcCrSqqkqTJ0+2TBobM2ZMoIcLIMgQbuA82r9/v2Uvet++fbLZbD5ro+12u2JjYwM9XAAGINyAH7hcLtXW1lrOR3d3d1v2orOzszVq1KhADxmAoQg3cJacTqcqKyt9Au1wOJSammo5H52ens7SKwB+RbiB02htbbUsvdqzZ4+mT59uWXqVnJwc6OECGAEINyDP0qvGxkbLoe7Dhw9bll7ZbDZFRUUFesgARijCjfOipUVat05yOKS2NikxUbLbpRUrpLS0wI6tp6dH1dXVlj3piIgIy6HurKwsll4BCCqEG35VWio98YT0zjue753Orx6Ljpbcbunaa6VVq6TCwvM/nuPHj/ssvdq5c6cqKyuVnp5umTQ2bty48z8gABgkwg2/ee456YEHpM5OT6D7ExLiifhTT0n33OO/929pabEsvWpoaFBOTo5PoO12u+Lj4/33xgAwhAg3/OJUtE+cGPhrYmKs8Xa5XFq/fr0WL17c7y0lXS6X9u7dazkf3dnZaTnUPXPmTIWHhw/y0wFA8CDcGLTSUqm4+OyifUpMjLRtm3TRRdKhQ4e0ZMkSffjhh/rb3/6m6667TidPnlRVVZVPoMvKypSUlGQ51J2RkcHSKwDDHuHGoC1ZIm3cePrD4/0JCZEWL5YefPATLViwQG1tbXK5XMrLy5Mk1dTUKCsryyfQs2fPVkpKip8/BQCYgXBjUFpapIwM30loZys8vFfd3eMkHfL+bNasWfrjH/+o3NxcRUdHD36gADBMsM4Fg7Ju3eC3ERYWqoUL/0dLly5VYmKiIiMj1draqsLCQqINAN/ABZMxKA7H4Pa2JcnpDFFi4ly98spcud1ulZWVqbGx0T8DBIBhhnBjUNra/LOdhoZj6uqK8l4EZfbs2f7ZMAAMM4Qbg5KY6J/t7Nz5LyUm3qrs7GzZ7XafLy6MAgBfIdwYFLtd2rBhcIfLo6Oln/1ske6777CqqqrkcDhUVlamt99+W2VlZQoPD7fEPCcnR5GRkf77IABgCGaVY1D8Mas8KkpqaOj7GuZut1vNzc3emDscDjkcDv33v/9VVlaWT8zz8/M1YcIE1nIDGNYINwbNH+u4N2w4u9edPHlSu3fv9ol5WVmZent7fUJut9tls9mYnQ5g2CDcGDR/XTnNHw4cOOATc4fDoZqaGmVkZPjE3G63a/LkyeydAzAO4YZf+Ota5edDV1eXampqfGJeVlamEydOKC8vzyfmubm5iouLO78DAoBBINzwm0DfHexsHTx4UOXl5T4x3717tyZOnGiZDJeZmcl9uQEEBcINv9q+3XM/7i1bPIHu7PzqsVP34y4p8dyP21+Hx/2pp6dHe/bs8Ym5w+FQa2ur8vLyLEFPSEgI9JABjDCEG+fFwYOey6GWl0utrVJyspSXJy1f3vfs8WDX2trq3Ts/FfPKykqlpaVZZrZnZWUpLCws0EMGMEwRbuAc9fb2au/evZbJcAcOHJDNZvOZDJeXl6fRo0cHesgAhgHCDfjZsWPHfM6dOxwOlZeXKzEx0TKzfcaMGRo1iusgARg4wg0MAZfLpbq6Op+YOxwONTU1aebMmT4xt9vtSjPxfAKAIUG4gQDq6OhQZWWlZTJcdHS0JeYzZ85UREREoIcMIMAINxBk3G63GhsbLTGvq6vTjBkzLJPhxo4dy4VkgBGEcAOG6Ozs9LkJy6l/w8LCLDGfNWuWoqKiAj1kAOcB4QYM5na79eWXX1puwlJbW6upU6darts+ceJE9s4BwxFuYBg6efKkqqurLUvVurq6+rwJS0xMTKCHDGCACDcwghw4cMByzfaamhpNnjzZslQtIyODvXMgCBFuYITr7u7u8yYsHR0dfd6EJT4+PtBDBkY0wg2gT4cOHbLchKWqqkrjx4+3LFWbOnUqN2EBhgjhBjBgPT09qq2ttSxVO3LkiHJzcy03YUlMTAz0kIFhh3ADGLSjR49absJSUVGh1NRUy1K1adOmcRMWYBAIN4DzwuVyae/evZalavv371dOTo5PzPPy8pSSkhLoIQNGINwAhlR7e7sqKiosS9USEhIsS9VmzJih8PDwQA8ZCCqEG0DAud1u1dfXW2Le2Nio7Oxsy1K1MWPGBHrIQMAQbgBB6/jx4z43YTl12D0yMtIS85kzZyoyMjLQQwbOO8INwChut1tNTU2WmH/xxReaNm2aZana+PHjuZAMhhXCDWBYcDqd3puwfD3okizL1HJychQdHR3gEQPnhnADGLbcbrf2799vWXe+Z88eZWZmWpaqpaens3eOoEe4AYw4XV1dqq6utixVczqdlpjbbDbFxsYGesg+Wlqkdeskh0Nqa5MSEyW7XVqxQkpLC/TocL4RbgD4fy0tLSovL/eJeXV1tdLT0y1L1TIyMob8Mq+lpdITT0jvvOP53un86rHoaMntlq69Vlq1SiosHNKhYQgRbgA4je7ubu3Zs8eyVK2trU15eXk+Mc/NzVVCQsJ5Gcdzz0kPPCB1dnoC3Z+QEE/En3pKuuee8zIUBBjhBoBzcOTIEZ+QOxwOVVZWauzYsZalalOnTj3jZV4rKio0bdo0RUVFWR47Fe0TJwY+vpgY4j1cEW4A8JPe3l6fm7Cc+jp48KBsNptPzPPy8pScnOx9bUpKilJSUvT2229r+vTp3p+XlkrFxWcX7VNiYqRt26SLLvLDh0PQINwAcJ61tbX53CLV4XCovLxcycnJys/PV1ZWln73u9+pt7dX0dHRevnll3XrrbdKkpYskTZuPP3h8f6EhEiLF0sbNvj5AyGgCDcABIDL5dIXX3whh8OhjRs36rXXXlNPT4/38euuu05r1/5NGRm+k9DOVlSU1NDAbPPhZGinRAIAJEmhoaHKysrS4sWLlZ+fL0mKjY3V6NGjVVJSottuu03r1g3+fUJC5JftIHiMCvQAAGCkKyws1GOPPabrr79eubm53ovA3H774Pa2Jc8s9PJyPwwSQYNwA0CAzZs3T/PmzbP8vK3NP9tvbfXPdhAcOFQOAEEqMdE/2/na5HUMA4QbAIKU3e6ZXDYY0dFSXp5/xoPgwKxyAAhSLS1iVjks2OMGgCA1Zozn2uPnesOykBCppIRoDzfscQNAEOPKafgm9rgBIIgVFnquOR4Tc3avO3WtcqI9/LAcDACC3KkbhXB3MEgcKgcAY2zf7rkf95YtnkB3dn712Kn7cZeUeO7HzZ728EW4AcAwBw96LmNaXu65uEpysmfJ1/LlTEQbCQg3AAAGYXIaAAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAGIdwAABiEcAMAYBDCDQCAQQg3AAAG+T9APjsCbrTaaQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw_kamada_kawai(network, nodelist = proposals, edgelist=competitors, node_color='b')\n",
    "plt.title('Proposals Conflict Network')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Histogram of Participants Token Holdings')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([ network.nodes[i]['holdings'] for i in participants])\n",
    "plt.title('Histogram of Participants Token Holdings')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Histogram of Proposals Funds Requested')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([ network.nodes[i]['funds_requested'] for i in proposals])\n",
    "plt.title('Histogram of Proposals Funds Requested')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "affinities = np.empty((n,m))\n",
    "for i_ind in range(n):\n",
    "    for j_ind in range(m):\n",
    "        i = participants[i_ind]\n",
    "        j = proposals[j_ind]\n",
    "        affinities[i_ind][j_ind] = network.edges[(i,j)]['affinity']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 121.63714285714283, 'participant_id')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dims = (20, 5)\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "\n",
    "sns.heatmap(affinities.T,\n",
    "            xticklabels=participants,\n",
    "            yticklabels=proposals,\n",
    "            square=True,\n",
    "            cbar=True,\n",
    "            ax=ax)\n",
    "\n",
    "plt.title('affinities between participants and proposals')\n",
    "plt.ylabel('proposal_id')\n",
    "plt.xlabel('participant_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.9]\n"
     ]
    }
   ],
   "source": [
    "#power of 1 token forever\n",
    "conviction_capactity = [10]\n",
    "alpha = [1-1/cc for cc in conviction_capactity]\n",
    "print(alpha)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "params= {\n",
    "    'sensitivity': [.75],\n",
    "    'tmin': [7], #unit days; minimum periods passed before a proposal can pass\n",
    "    'sentiment_decay': [.001], #termed mu in the state update function\n",
    "    'alpha': alpha,\n",
    "    'base_completion_rate': [10],\n",
    "    'trigger_func': [trigger_threshold]\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "function"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(trigger_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
    "# Settings of general simulation parameters, unrelated to the system itself\n",
    "# `T` is a range with the number of discrete units of time the simulation will run for;\n",
    "# `N` is the number of times the simulation will be run (Monte Carlo runs)\n",
    "time_periods_per_run = 1000\n",
    "monte_carlo_runs = 1\n",
    "\n",
    "from cadCAD.configuration.utils import config_sim\n",
    "simulation_parameters = config_sim({\n",
    "    'T': range(time_periods_per_run),\n",
    "    'N': monte_carlo_runs,\n",
    "    'M': params\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'N': 1,\n",
       "  'T': range(0, 1000),\n",
       "  'M': {'sensitivity': 0.75,\n",
       "   'tmin': 7,\n",
       "   'sentiment_decay': 0.001,\n",
       "   'alpha': 0.9,\n",
       "   'base_completion_rate': 10,\n",
       "   'trigger_func': <function __main__.trigger_threshold(requested, funds, supply, beta=0.25, rho=0.00625)>}}]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simulation_parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_conditions = {'network':network,\n",
    "                      'supply': initial_supply,\n",
    "                      'funds':initial_funds,\n",
    "                      'sentiment': initial_sentiment}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'network': <networkx.classes.digraph.DiGraph at 0x1a22b49b38>,\n",
       " 'supply': 33548.84968598687,\n",
       " 'funds': 1125525.315252941,\n",
       " 'sentiment': 0.7}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initial_conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
    "# The Partial State Update Blocks\n",
    "partial_state_update_blocks = [\n",
    "    { \n",
    "        'policies': { \n",
    "            #new proposals or new participants\n",
    "            'random': driving_process\n",
    "        },\n",
    "        'variables': {\n",
    "            'network': update_network,\n",
    "            'funds':increment_funds,\n",
    "            'supply':increment_supply\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "      'policies': {\n",
    "          'completion': check_progress #see if any of the funded proposals completes\n",
    "        },\n",
    "        'variables': { # The following state variables will be updated simultaneously\n",
    "            'sentiment': update_sentiment_on_completion, #note completing decays sentiment, completing bumps it\n",
    "            'network': complete_proposal #book-keeping\n",
    "        }\n",
    "    },\n",
    "        {\n",
    "      'policies': {\n",
    "          'release': trigger_function #check each proposal to see if it passes\n",
    "        },\n",
    "        'variables': { # The following state variables will be updated simultaneously\n",
    "            'funds': decrement_funds, #funds expended\n",
    "            'sentiment': update_sentiment_on_release, #releasing funds can bump sentiment\n",
    "            'network': update_proposals #reset convictions, and participants sentiments\n",
    "                                        #update based on affinities\n",
    "        }\n",
    "    },\n",
    "    { \n",
    "        'policies': { \n",
    "            'participants_act': participants_decisions, #high sentiment, high affinity =>buy\n",
    "                                                        #low sentiment, low affinities => burn\n",
    "                                                        #assign tokens to top affinities\n",
    "        },\n",
    "        'variables': {\n",
    "            'supply': update_supply,\n",
    "            'network': update_tokens #update everyones holdings \n",
    "                                    #and their conviction for each proposal\n",
    "        }\n",
    "    }\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cadCAD.configuration import append_configs\n",
    "# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #\n",
    "# The configurations above are then packaged into a `Configuration` object\n",
    "append_configs(\n",
    "    initial_state=initial_conditions, #dict containing variable names and initial values\n",
    "    partial_state_update_blocks=partial_state_update_blocks, #dict containing state update functions\n",
    "    sim_configs=simulation_parameters #dict containing simulation parameters\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tabulate import tabulate\n",
    "from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
    "from cadCAD import configs\n",
    "import pandas as pd\n",
    "\n",
    "exec_mode = ExecutionMode()\n",
    "multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)\n",
    "run = Executor(exec_context=multi_proc_ctx, configs=configs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "multi_proc: [<cadCAD.configuration.Configuration object at 0x1a233e3dd8>]\n",
      "[<cadCAD.configuration.Configuration object at 0x1a233e3dd8>]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Zargham/Documents/GitHub/conviction/conviction_system_logic.py:238: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  force = grants_completed/grants_outstanding\n",
      "/Users/Zargham/Documents/GitHub/conviction/conviction_system_logic.py:361: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  force = proposals_accepted/proposals_outstanding\n",
      "/Users/Zargham/Documents/GitHub/conviction/conviction_system_logic.py:104: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  new_proposal = bool(rv2<1/proposal_rate)\n",
      "/Users/Zargham/Documents/GitHub/conviction/conviction_system_logic.py:238: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  force = grants_completed/grants_outstanding\n"
     ]
    }
   ],
   "source": [
    "i = 0\n",
    "verbose = False\n",
    "results = {}\n",
    "for raw_result, tensor_field in run.execute():\n",
    "    result = pd.DataFrame(raw_result)\n",
    "    if verbose:\n",
    "        print()\n",
    "        print(f\"Tensor Field: {type(tensor_field)}\")\n",
    "        print(tabulate(tensor_field, headers='keys', tablefmt='psql'))\n",
    "        print(f\"Output: {type(result)}\")\n",
    "        print(tabulate(result, headers='keys', tablefmt='psql'))\n",
    "        print()\n",
    "    results[i] = {}\n",
    "    results[i]['result'] = result\n",
    "    results[i]['simulation_parameters'] = simulation_parameters[i]\n",
    "    i += 1\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = results[0]['result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a233e39b0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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E4MnrhjDulISAK4puChYRiWrTFm3nZ/9aTkwj458/OJMh3dsHXVLUU7CISNR68L3VPP3ZZjq2jOXtO0aQ1L5F0CWdEBQsIhJ1SsoquOmFRcxNz2VA1zZM+/6ZtGyqX3f1RUtaRKLKzoIDXPXUfDLyD3DF4ET+fPUgQhdLl/qiYBGRqFF4sJQrJ81nx54D/HJcP/7nHN1HJQgKFhGJCuk5hVz11Hzy95cycWxfhUqAFCwi0uDNWJXF918K3dnjkf8apEveB0zBIiIN2htfZnDPtGW0jI1h6q1nckpS26BLOuEpWESkQfv3yiwAPp84inYtYgOuRqD2tyYWEYlIW3bvY3jPDgqVCKJgEZEGyTnHr95eyfrsIk7q0DLocqQSbQoTkQZnV2ExNzz/Basy9zK4ezsmju0bdElSiYJFRBqcn76+jFWZe7lpRA/+3yX9dAJkhFGwiEiDUVxWzm0vf8nsdbu4YnAiv7q0f9AlSRUULCLSIGzJ3cc1kxeQtfcgF5+SwB++o5t0RSoFi4hEvHeWZXLnq0sAeGD8AK4/MznYgqRaChYRiVjFZeX87PXlvL00k7bNm/DiTWcwqFu7oMuSGihYRCQircos4MbnF5FTWMyovp15/NrBuvR9A6H/JRGJKM45npy9kYdnrAPgwW8P5LphJwVclRwNBYuIRIysgoP84OXFLN2+h55xLXlmQio9O7UKuiw5SjWeeW9mzczsCzNbZmarzOw3vr2HmS00sw1m9pqZxfr2pv51un8/udK87vXt68zsokrtY3xbuplNrNRe5RgiEn3eWrKDkX+cxdLte7hxRDIf3XOuQqWBqs0lXYqBUc65QcBpwBgzGw78EXjEOZcC5AM3+/43A/nOud7AI74fZtYfuAYYAIwBnjSzGDOLAZ4AxgL9gWt9X6oZQ0SiRMGBUm6Zsoj/fW0prZs15rVbh3P/pQNo1EgnPTZUNQaLCynyL5v4hwNGAa/79inA5X56vH+Nf/8CC50WOx6Y6pwrds5tBtKBM/wj3Tm3yTlXAkwFxvvPHGkMEYkCH6/JZsRDs/hoTQ6XDerKvIkXMKxnx6DLkuNUq30sfq1iMdCb0NrFRmCPc67Md8kAEv10IrAdwDlXZmYFQEffvqDSbCt/Zvth7cP8Z440hog0YEXFZdz7xgreWZZJy9gYJn9vKKMHdAm6LAmTWgWLc64cOM3M2gFvAv2q6uafq1p/ddW0V7XWVF3//2BmtwK3AnTv3r2qLiISIWatzebuqUspPFjG6P7xPHzlINq2aBJ0WRJGR3VUmHNuj5nNBoYD7cyssV+jSAIyfbcMoBuQYWaNgbZAXqX2Qyp/pqr23GrGOLyuycBkgNTU1CrDR0SCVXCglF+8sYL3VuykZWwMk64bwthTEoIuS+pAbY4K6+TXVDCz5sCFwBrgE+BK320C8Lafnu5f49+f5Zxzvv0af9RYDyAF+AJYBKT4I8BiCe3gn+4/c6QxRKQBmbEqixEPzeK9FTsZO7AL8yZeoFCJYrVZY0kApvj9LI2Aac65d81sNTDVzH4HLAGe9f2fBV4ys3RCayrXADjnVpnZNGA1UAbc7jexYWZ3ADOAGOA559wqP6+fH2EMEWkA8vaVcO8by5mxKpvWTRvzzPWpXNg/PuiypI5ZaMUgeqSmprq0tLSgyxA5oTnneG3Rdu6fvorisgouHdSV310+kLbNtS8lUpnZYudcajjmpTPvRSSs0nOK+Mk/l7F0+x46tW7KI1efxsiUuKDLknqkYBGRsCivcDw8Yx1PzdkIwP+c3YOfjelLk5janIct0UTBIiLHbW3WXm56fhGZBQc5JbEtf7l6ECnxrYMuSwKiYBGR4zJ7XQ7ff2kxxWUV3H9pf244K1n3oD/BKVhE5Jhk5O/nvrdWMnvdLlrGxjDt9hG6CZcAChYROUqH3y/lqqFJ3HdJfx3xJV9RsIhIra3KLOAXb6xgWUYB/RPa8KcrT2VgYtugy5IIo2ARkRrtLirm9++v5V9fZgBw56je/OjCPrq0vVRJwSIiR1RaXsFTszfy+Kx0SsoruKBvZ3592QC6dWgRdGkSwRQsIvIfnHO8tXQHD763htyiElI6t+K3lw9kuO6VIrWgYBGRb5i3MZcH3lnN2qxC2rVowp++cypXpSbpEGKpNQWLiAChkxwffG8Nn23IpUmMcfcFKfzw/F40bRwTdGnSwChYRE5wew+W8vv31jB1UehGrt8d1p2fjj6Z9i1jA65MGioFi8gJ6mBpOX+fs4lJc9I5WFrBhf3iuf/S/toxL8dNwSJygiktr+CFz7fw2KwNFB4so098K+4d14/zT+4cdGkSJRQsIieIsvIKXl6wlcdmpZO3r4RuHZrzhytO4ZJTuwZdmkQZBYtIlCsrr+CVhdt4fNYGcotK6Nq2Gf931SC+MyRRR3pJnVCwiESpkrIKXlm4lSc+SSe3qISEts146IpTuDq1m86YlzqlYBGJMgdLy3lh3hb+Pmcj+ftLSWzXnD9+5xSuGqpAkfqhYBGJEgUHSnl27maem7uZouIykju24L6L+3OFNnlJPVOwiESBZz7bxJ9mrKOkrIJ+CW24c1Rvxg7sokCRQChYRBq49JwifvfeGlrGxvDszWdwdkqnoEuSE5yCRaSBWp9dyMMz1jFzdTYAk69PZUTvuICrElGwiDQ4e/aX8NzczTz+STrOwRVDErn9/N706tQq6NJEAAWLSIOxbfd+/v7pRqalbae03DGoWzv+fNUgendWoEhkqTFYzKwb8CLQBagAJjvnHjWzDsBrQDKwBbjaOZdvob2FjwLjgP3ADc65L/28JgD3+Vn/zjk3xbcPBV4AmgPvA3c759yRxjjuf7VIA7JoSx5/n7OJj9aENnmdnRLHbef14qxe2uwlkak2ayxlwI+dc1+aWWtgsZnNBG4APnbOPWRmE4GJwM+BsUCKfwwDJgHDfEjcD6QCzs9nug+KScCtwAJCwTIG+MDPs6oxRKKec45bpqTx8docGhlcOTSJ75/Tk5T41kGXJlKtGoPFObcT2OmnC81sDZAIjAfO892mALMJ/dIfD7zonHPAAjNrZ2YJvu9M51wegA+nMWY2G2jjnJvv218ELicULEcaQySqzduYy9/nbGLO+l0M79mBJ747hI6tmgZdlkitHNU+FjNLBgYDC4F4Hzo453aa2aFLoyYC2yt9LMO3VdeeUUU71YxxeF23ElrjoXv37kfzTxKJGBUVjg9WZjFpTjord+ylcSPj+jNPYuLYvrSI1e5QaThq/dNqZq2AfwH/65zbW82JV1W94Y6hvdacc5OByQCpqalH9VmRoO3ZX8JL87fy0oKt5BQW07ppY350YR8mnHUS7VroZlvS8NQqWMysCaFQecU594ZvzjazBL8mkQDk+PYMoFuljycBmb79vMPaZ/v2pCr6VzeGSIO3IqOAKfO38NaSHZRVOPrEt+KuC1K4cmgSzZrodsDScNXmqDADngXWOOf+Uumt6cAE4CH//Hal9jvMbCqhnfcFPhhmAL83s/a+32jgXudcnpkVmtlwQpvYrgcer2EMkQbpQEk5byzJ4B8Lt7Eqcy8AF/brzE0jenCWTm6UKFGbNZYRwPeAFWa21Lf9gtAv+2lmdjOwDbjKv/c+oUON0wkdbnwjgA+Q3wKLfL8HDu3IB27j68ONP/APqhlDpEFZn13Ic3M38+aSHRSXVRDXKpY7R/XmumEn0aVts6DLEwkrCx28FT1SU1NdWlpa0GWIALA8Yw+vfrGdV7/YBsB5J3fi2jO6861+8bqEvUQUM1vsnEsNx7x0qIlImOXtK+GNLzP4Z1oG67ILAfhW/3h+Ma4fPeJaBlydSN1TsIiEQUWFY876XUxL286MVVlUOEhq35wfXdiHq09PIqFt86BLFKk3ChaR47C7qJipi7bz/OebyS0qoUmMcemgrlxzeneG9+yg+6HICUnBInKUDpSU8+HqLN5csoM563fhHPRLaMM93zqZy07rSqum+lrJiU3fAJFaKCuvYM76XUxflsmMVVkcLK2gddPGXD20G1cMSeSMHlo7ETlEwSJyBBUVjnkbd/POskzeX7mTwoNlNIkxLuwXz/jTujKqbzyxjRsFXaZIxFGwiFRSUeFYvC2ft5fu4N3lO9mzv5RGBuf06cSlp3ZlzMAutNSmLpFq6RsiJ7yKCseX2/L5YGUWby/NJLeomJhGxlm9OnLxKQmMGdhF1+wSOQoKFjkhFZeVs2BTHjNWZTFzdTa7Cotp3Mg47+ROXHJqV87v25m2zZsEXaZIg6RgkRNGwf5SZq/PYebqbOas20VhcRlNGzfinD6duGhAFy7s11lrJiJhoGCRqOWcY1PuPmatyeHjtdks2pJPeYWjfYsmfGtAPBcN6MLZKXG614lImOkbJVHlYGk58zftZs66XXyyLoetu/cD0LNTS24Z2YNRfTuTmtyBGF2nS6TOKFikwcvZe5CP1uTw71VZLNy0m+KyCmJjGjG8V0cmnJnMBf06c1JHXaNLpL4oWKRBKimr4N+rspg0eyNrdobua9KtQ3OuTu3G+X07MbxnR23iEgmIvnnSIDjnWJ9dxOfpucxNz2Xhpt3sKymnY8tYfnrRyYzsHcepSW119rtIBFCwSET7ZF0Ob365g3kbd5NbVAyErhp86aCunJ3SiXNP7qRrc4lEGH0jJSLl7D3IZxty+fE/lwFw8akJjOgVx4jeHbW/RCTCKVgkIuTtK2Hhpt0s3JzHpxt2sWnXPgC6tm3GCzedQZ/41gFXKCK1pWCRQOTvK2Fuei6LtuSxYNNu1mcXAdC0cSPO6NGBK4cmMaJXHAO6tqFxjC70KNKQKFikXhXsL2Xh5t3cM20ZRcVlNGvSiKEnteeSU7syvGdHBnVrS9PGMUGXKSLHQcEidSqr4CDzNuayeGs+aVvyWZ9TiHMQG9OI31w2gO8O604TrZGIRBUFi4RNRYVjy+59LN6az5fb8vlicx4b/b6SlrExDO7enrGndOGM5A6c1r2dzjMRiVL6Zssx21VYzIode1i6bQ9LMwpYtn0PBQdKAWjTrDFDTmrPtwcnct7JnemX0EaXURE5QShYpFZ2FxWzYkcBqzL3sjxjDysyCsgsOAhAI4M+8a0ZM6ALg7u3Y3D39qR0bkUjBYnICanGYDGz54BLgBzn3EDf1gF4DUgGtgBXO+fyLXTa86PAOGA/cINz7kv/mQnAfX62v3POTfHtQ4EXgObA+8Ddzjl3pDGO+18s1XLOkZF/gDU797Iqcy+rd+5l5Y4CdvoQATipYwuGJnfgxsS2nJrUloGJbXVXRRH5Sm1+G7wA/A14sVLbROBj59xDZjbRv/45MBZI8Y9hwCRgmA+J+4FUwAGLzWy6D4pJwK3AAkLBMgb4oJoxpA7MXpfDG4ed4W4GPeNacnpyBwYmtmFg17YMSGyrG2CJSLVqDBbn3KdmlnxY83jgPD89BZhN6Jf+eOBF55wDFphZOzNL8H1nOufyAMxsJjDGzGYDbZxz8337i8DlhILlSGPIcSrYX8rarL2syy5kzc5C1mbtZcm2PQCMGdCFESmh80f6dmmtHewictSO9bdGvHNuJ4BzbqeZdfbticD2Sv0yfFt17RlVtFc3hhylj1ZnM3/TbtZnF7I+u5DsvcVfvdemWWP6JbThhrOSmXBWMj3idLkUETk+4f5ztKq9te4Y2o9uULNbCW1Oo3v37kf78ah2/9srmTJ/KwADE9swolccfbq05uT41vRNaE2XNs10RWARCatjDZZsM0vwaxIJQI5vzwC6VeqXBGT69vMOa5/t25Oq6F/dGP/BOTcZmAyQmpp61MEUDQ6WlrNp1z425BSyLquQDTlFrMsqZFvefhLbNeeje86leazOaBeRuneswTIdmAA85J/frtR+h5lNJbTzvsAHwwzg92bW3vcbDdzrnMszs0IzGw4sBK4HHq9hDPGmpW3nw1VZpOcUsS1vPxU+UmMaGT3iWnJKYluuHJrE9WeepFARkXpTm8ONXyW0thFnZhmEju56CJhmZjcD24CrfPf3CR1qnE7ocOMbAXyA/BZY5Ps9cGhHPnAbXx9u/IF/UM0YQihUfvb6cprEGN/qH89lpyWS0rkVfeJbkxzXQtfbEpHAWOgAruiRllDpAAAIpUlEQVSRmprq0tLSgi4jrJxzzN+0m9WZe0nPKWJDThGLt4ZO6Vn1m4t0DomIHDczW+ycSw3HvPQbqQHYkFPEd59eCED7Fk1IiW/NdcO6852hSQoVEYk4+q0UwXYVFjNrbTZvLtkBwHM3pDKqb3zAVYmIVE/BEmH2HizllQXb+Dw9l7npuQA0bmQM6NqGYT06BlydiEjNFCwBcs6xZPseNuYUkbnnIMsz9vDx2tBR1V3bNuOO83tzTp9ODOneTndRFJEGQ8ESgLLyCt5fmcUHK3bywcqsr9o7t27K6P7xXH9mMiNT4gKsUETk2ClY6sm+4jIe+3gDK3YUMG/jbiB0kccecS3523cH06tTK5o10SHCItLwKVjqUFFxGY9+tJ512UV8un4XAEntm3PN6d0Y3rMj405JILaxNnGJSHRRsISJc468fSVk7jnIptwiPtuQy8drssnfX0rXts24amgSI1PiGH9aYs0zExFpwBQsx8g5R/7+Uu57awVrswrJ3HOAg6UVX73foWUsKfGtGdytHT8f01d3UxSRE4aCpRacc/7+7gW8vTSTtVl72Z53gAOl5QAkd2zBfw87ia7tmtO1XTMS27Wgf1fd411ETkwKlsOUVzjy95ewaHMez87dzK6iYrIKDlJcFlobMYML+nZmZO9OdG3XjF6dW3F27zgdDiwi4p3wwbK/pIx/fbmDdVl7+WTtLrL3HqSs4uvrp407pQuj+8eT1L4FyXEtGdC1DXGtmgZYsYhIZDvhgqWiwlFwoJT0XUWs2lHA1EXbWZtVCEC/hDaMP60r8W2a0al1U/oltNEdFUVEjtIJEyyLt+Zz16tLyCk8SGn512sksTGNOLNnR165ZZh2sIuIhEFUBsuG7EIWbs6jpKyC0vIKFm7OY5a/VMotI3uQ2L45Se1bMDCxDfGtmylQRETCKOqCpbS8grGPfvaN/SRmcHZKHDeOSNbVgUVE6ljUBcvarEISKhzfG34SPx7dh9jGjYiNaaSjtkRE6knUBUvb5k24/9L+XHtGd117S0QkAFEXLN07tODGET2CLkNE5ISl7UMiIhJWChYREQkrBYuIiISVgkVERMJKwSIiImGlYBERkbBSsIiISFgpWEREJKzMOVdzrwbEzAqBdUHXUQtxQG7QRdRCQ6izIdQIqjPcVGd4neycax2OGUXdmffAOudcatBF1MTM0lRneDSEGkF1hpvqDC8zSwvXvLQpTEREwkrBIiIiYRWNwTI56AJqSXWGT0OoEVRnuKnO8ApbnVG3815ERIIVjWssIiISoKgJFjMbY2brzCzdzCZGQD1bzGyFmS09dLSFmXUws5lmtsE/t/ftZmaP+dqXm9mQOqzrOTPLMbOVldqOui4zm+D7bzCzCfVU56/NbIdfpkvNbFyl9+71da4zs4sqtdfZz4WZdTOzT8xsjZmtMrO7fXtELc9q6oy05dnMzL4ws2W+zt/49h5mttAvm9fMLNa3N/Wv0/37yTXVX8d1vmBmmystz9N8e2DfIz9GjJktMbN3/eu6X57OuQb/AGKAjUBPIBZYBvQPuKYtQNxhbX8CJvrpicAf/fQ44APAgOHAwjqs6xxgCLDyWOsCOgCb/HN7P92+Hur8NfCTKvr29//nTYEe/mchpq5/LoAEYIifbg2s97VE1PKsps5IW54GtPLTTYCFfjlNA67x7U8Bt/npHwJP+elrgNeqq78e6nwBuLKK/oF9j/w49wD/AN71r+t8eUbLGssZQLpzbpNzrgSYCowPuKaqjAem+OkpwOWV2l90IQuAdmaWUBcFOOc+BfKOs66LgJnOuTznXD4wExhTD3UeyXhgqnOu2Dm3GUgn9DNRpz8Xzrmdzrkv/XQhsAZIJMKWZzV1HklQy9M554r8yyb+4YBRwOu+/fDleWg5vw5cYGZWTf11XeeRBPY9MrMk4GLgGf/aqIflGS3Bkghsr/Q6g+q/OPXBAR+a2WIzu9W3xTvndkLoyw509u1B13+0dQVZ7x1+c8JzhzYxVVNPvdXpNxsMJvTXa8Quz8PqhAhbnn6zzVIgh9Av2o3AHudcWRVjflWPf78A6BhEnc65Q8vzQb88HzGzpofXeVg99fH//lfgZ0CFf92Relie0RIsVkVb0Ie7jXDODQHGAreb2TnV9I3E+uHIdQVV7ySgF3AasBP4s28PtE4zawX8C/hf59ze6roeoZ6g6oy45emcK3fOnQYkEfqruF81Y0ZMnWY2ELgX6AucTmjz1s+DrNPMLgFynHOLKzdXM2bY6oyWYMkAulV6nQRkBlQLAM65TP+cA7xJ6EuSfWgTl3/O8d2Drv9o6wqkXudctv9CVwBP8/XqeGB1mlkTQr+sX3HOveGbI255VlVnJC7PQ5xze4DZhPZJtDOzQ5efqjzmV/X499sS2nwaRJ1j/CZH55wrBp4n+OU5ArjMzLYQ2mw5itAaTN0vz3DvKAriQeiaZ5sI7Vg6tFNxQID1tARaV5qeR2jb6cN8c6fun/z0xXxz594XdVxfMt/cKX5UdRH6a2wzoR2O7f10h3qoM6HS9I8IbfcFGMA3dy5uIrSjuU5/LvxyeRH462HtEbU8q6kz0pZnJ6Cdn24OfAZcAvyTb+5s/qGfvp1v7myeVl399VBnQqXl/VfgoUj4HvmxzuPrnfd1vjzD/g8I6kHoyIv1hLbJ/jLgWnr6/4hlwKpD9RDaXvkxsME/d6j0g/iEr30FkFqHtb1KaLNHKaG/RG4+lrqAmwjtxEsHbqynOl/ydSwHpvPNX4y/9HWuA8bWx88FMJLQJoHlwFL/GBdpy7OaOiNteZ4KLPH1rAR+Ven79IVfNv8Emvr2Zv51un+/Z03113Gds/zyXAm8zNdHjgX2Pao0znl8HSx1vjx15r2IiIRVtOxjERGRCKFgERGRsFKwiIhIWClYREQkrBQsIiISVgoWEREJKwWLiIiElYJFRETC6v8DPa06p16DEssAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.supply.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ae5fbc550>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sentiment.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25618390>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='timestep', y='funds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pad(vec, length,fill=True):\n",
    "    \n",
    "    if fill:\n",
    "        padded = np.zeros(length,)\n",
    "    else:\n",
    "        padded = np.empty(length,)\n",
    "        padded[:] = np.nan\n",
    "        \n",
    "    for i in range(len(vec)):\n",
    "        padded[i]= vec[i]\n",
    "        \n",
    "    return padded\n",
    "\n",
    "def make2D(key, data, fill=False):\n",
    "    maxL = data[key].apply(len).max()\n",
    "    newkey = 'padded_'+key\n",
    "    data[newkey] = data[key].apply(lambda x: pad(x,maxL,fill))\n",
    "    reshaped = np.array([a for a in data[newkey].values])\n",
    "    \n",
    "    return reshaped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['conviction'] = df.network.apply(lambda g: np.array([g.nodes[j]['conviction'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='candidate']))\n",
    "df['candidate_count'] = df.network.apply(lambda g: len([j for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='candidate']))\n",
    "df['candidate_funds'] = df.network.apply(lambda g: np.sum([g.nodes[j]['funds_requested'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='candidate']))\n",
    "df['candidate_funds_requested'] = df.network.apply(lambda g: np.array([g.nodes[j]['funds_requested'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='candidate']))\n",
    "df['active_count'] = df.network.apply(lambda g: len([j for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='active']))\n",
    "df['active_funds'] = df.network.apply(lambda g: np.sum([g.nodes[j]['funds_requested'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='active']))\n",
    "df['completed_count'] = df.network.apply(lambda g: len([j for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='completed']))\n",
    "df['completed_funds'] = df.network.apply(lambda g: np.sum([g.nodes[j]['funds_requested'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='completed']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['funds_requested'] = df.network.apply(lambda g: np.array([g.nodes[j]['funds_requested'] for j in get_nodes_by_type(g, 'proposal')]))\n",
    "df['share_of_funds_requested'] = df.candidate_funds_requested/df.funds\n",
    "\n",
    "df['share_of_funds_requested_all'] = df.funds_requested/df.funds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['triggers'] = df.network.apply(lambda g: np.array([g.nodes[j]['trigger'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='candidate' ]))\n",
    "df['conviction_share_of_trigger'] = df.conviction/df.triggers\n",
    "df['age'] = df.network.apply(lambda g: np.array([g.nodes[j]['age'] for j in get_nodes_by_type(g, 'proposal') if g.nodes[j]['status']=='candidate' ]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['age_all'] = df.network.apply(lambda g: np.array([g.nodes[j]['age'] for j in get_nodes_by_type(g, 'proposal') ]))\n",
    "df['conviction_all'] = df.network.apply(lambda g: np.array([g.nodes[j]['conviction'] for j in get_nodes_by_type(g, 'proposal') ]))\n",
    "df['triggers_all'] = df.network.apply(lambda g: np.array([g.nodes[j]['trigger'] for j in get_nodes_by_type(g, 'proposal')  ]))\n",
    "\n",
    "df['conviction_share_of_trigger_all'] = df.conviction_all/df.triggers_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdf= df[df.substep==4].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_net= df.network.values[-1]\n",
    "last_props=get_nodes_by_type(last_net, 'proposal')\n",
    "M = len(last_props)\n",
    "last_parts=get_nodes_by_type(last_net, 'participant')\n",
    "N = len(last_parts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "affinities = np.empty((N,M))\n",
    "for i_ind in range(N):\n",
    "    for j_ind in range(M):\n",
    "        i = last_parts[i_ind]\n",
    "        j = last_props[j_ind]\n",
    "        affinities[i_ind][j_ind] = last_net.edges[(i,j)]['affinity']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 487.1635514018691, 'participant_id')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 7200x1800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dims = (100, 25)\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "\n",
    "sns.heatmap(affinities.T,\n",
    "            xticklabels=last_parts,\n",
    "            yticklabels=last_props,\n",
    "            square=True,\n",
    "            cbar=True,\n",
    "            ax=ax)\n",
    "\n",
    "plt.title('affinities between participants and proposals')\n",
    "plt.ylabel('proposal_id')\n",
    "plt.xlabel('participant_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "#working on deduplicating colors\n",
    "#\n",
    "#last_props=get_nodes_by_type(last_net, 'proposal')\n",
    "#M = len(last_props)\n",
    "\n",
    "#cm = plt.get_cmap('gist_rainbow')\n",
    "#c= [cm(1.*j/M) for j in range(M)] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   1.,    1.,    1., ...,   nan,   nan,   nan],\n",
       "       [   2.,    2.,    2., ...,   nan,   nan,   nan],\n",
       "       [   3.,    3.,    3., ...,   nan,   nan,   nan],\n",
       "       ...,\n",
       "       [ 998.,  998.,  998., ...,  492.,  457.,  300.],\n",
       "       [ 999.,  999.,  999., ...,  493.,  458.,  301.],\n",
       "       [1000., 1000., 1000., ...,  494.,  459.,  302.]])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make2D('age_all', rdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1aefcb8b38>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rdf.plot(x='timestep',y=['candidate_count','active_count','completed_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ab2284470>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rdf.plot(x='timestep',y=['candidate_funds','active_funds','completed_funds'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'share_of_funds_requested')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(rdf.timestep,make2D('share_of_funds_requested_all', rdf))\n",
    "plt.title('share_of_funds_requested by proposal')\n",
    "plt.xlabel('time $t$')\n",
    "plt.ylabel('share_of_funds_requested')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'share_of_funds_requested')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.loglog(make2D('share_of_funds_requested_all', rdf), make2D('conviction_all', rdf), '.')\n",
    "plt.ylabel('conviction')\n",
    "plt.xlabel('share_of_funds_requested')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'proposal_age')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M7RQRkeNUTeCvdvdXUvO7gVe7+35gbLqVzKzbzJaE6XbgzcC242msHB2d34tIWjWjdH5pZhuA74f5dwMbwyid3hnWWwHcHPrxI+D/ufuG42qtVE+XRxaRCtUE/odJQv5SkpPGbwE/CKNwrphuJXd/FLhgNhopx0in+CKSUs2wTAduCw8REalT0wa+md3n7peZ2QCTx88byf8DizJvnYiIzJppA9/dLwvPC+euOTJr1IUvIhVmHKVjZpGZPT5XjZFZpnH4IpIyY+C7eww8kr54moiI1KdqRumsALaa2W+AoXKhu78rs1aJiMisqybwO4F3puYN+EI2zZFZo8sji0iFagI/7+6/SBeEX86KiEgdmWlY5r8F/pzk6piPphYtBO7PumFynDRKR0QqzHSG/13gJ8B/Az6dKh8I19EREZE6MtM4/D6gD7h27pojs0p9+CKSUs3VMkVEpAEo8BtUcrFMneKLyAQFvohIk1DgNyzXlRVEZBIFfqPSsEwRqaDAFxFpEgp8EZEmocBvZOrDF5EUBX6jUh++iFRQ4DcyDdMRkRQFvohIk8gs8M3sFDO7x8yeNLOtZvaxrPYlIiJHVs318I9VEfiEu//WzBYCm83sZ+7+RIb7lDLdAEVEKmR2hu/uL7n7b8P0APAksDKr/YmIyMzmpA/fzFYDFwAPTrFsvZltMrNNe/bsmYvmiIg0pcwD38w6gR8AH3f3/srl7n6Tu/e4e093d3fWzRERaVqZBr6ZFUjC/jvufnuW+5IKjoZlisgkWY7SMeDvgCfd/YtZ7UdERKqT5Rn+pcAHgCvNbEt4vD3D/UmKfmgrIpUyG5bp7vehgYEiIvOGfmnbqFw3QBGRyRT4IiJNQoEvItIkFPiNSt/aikgFBX4jUye+iKQo8EVEmoQCX0SkSSjwG5UujywiFRT4IiJNQoHfqDRKR0QqKPBFRJqEAr+RaVimiKQo8EVEmoQCv1GpD19EKijwRUSahAK/YWkcvohMpsAXEWkSCvwGpR/aikglBb6ISJNQ4DcyneKLSIoCv1E5+uGViEyiwBcRaRKZBb6ZfcPMdpvZ41ntQ2aiX16JyGRZnuH/H+BtGW5fRESOQmaB7+4bgf1ZbV+OwNGXtiIyifrwRUSaRM0D38zWm9kmM9u0Z8+eWjdHRKRh1Tzw3f0md+9x957u7u5aN0dEpGHVPPAlIxqHLyIVshyWeQvwa2CNme0ys+uz2peIiBxZPqsNu/u1WW1bRESOnrp0RESahAK/Uen6yCJSQYEvItIkFPgNSj+0FZFKCnwRkSahwG9UGocvIhUU+CIiTUKBLyLSJBT4jUrDMkWkggJfRKRJKPAble5wKCIVMruWjohIM3J3hkox+8aK7B8rsX+syP6xIvtGi2G6FJYlj6WFPHdeeNactE2B38g0LFPkuIzFTm+xSO9YiQNjRXqLSYD3jpU4UEzKDoyV6C1OhPn+sSIj8dR/YucNugp5ugp5lhXyrO1oZ3V7y5y9HgW+iDS0kjt9xRJ9YyV6iyX6QoD3FZNHMp2EeV8o7y2W6B0rMlCKp91uzmBJPs/SQo4l+Rwnt7Vw3sL8eKB3FXIsC8HeVUjqLc7nsBqeiCnwG5X68KWBuDsHSzEDpZj+Yom9o0V2j46Nh3RvsVgR4KFsrDRjaAO0RsbifBLGS/J5TmgtsKajLQR5EtRLC3mW5JPn8nxnLiKqs7+iFfgikqmx2BkolRgoJo/+Yjw+318sMRDm+4slBkOgj9ctheXFEjPFdntkLM7nWRzOtk9qLXB2ZxtL8rmkPJ8bXzYxnZS355pn7IoCv2FpHL7MjrHYGQwBXf4yctvQIYZLMQdLMUPlkC6lAj01PzxNf3ZawYyF+YhF+RwLczkW5nOsam+hM5djUT55dObC8nzSVXJCa4GlIbxbo+YJ7eOhwBdpAkPFEt98YS99xRKH4phDsTNcihmOYw6VPJTFDJeSZeX5oVI87ReQZZ25iIUhqBflI5YWkrBelMvRGUJ8UmCHQE/CO2JhLkdbE51l15ICv1GpD19S7t4/wN9sf4mCGe05oy2KJh45oz2K6MzlWN6Sp328PGJBFNEZQrkjn9TpzEWs7WhjaSFPa2R114/dzBT4Ik2gd6wIwG8uOZsVrXM3DFDmFwX+LPPYoRTjJcdLDiXH4xiKjsflsnhiWSlO1imGeiXHi44X44nHWJysU0zqJ3XCNorlfSXLy9suDY7VdPiXzC/9xRIAi/K5GrekccVxEfcx4niU2MfweDSZjkcnyscfI8Q+MR1ZnhUr3p15Gxsi8A89fSAJxRCo46FYDtfYJwVseZmXJtY5bFkcwjROBXPJU/UrQj1sK7OulJxh+QjLGeQiLG9YLjq8vDVHlIvIL2mlfV13Ro2RetNfLJEzWFCHX266xyEwi7gXQ5iOJdPxGO5h2ot4PBbCdCxMp8N3jNhHJ4K4ok4cjybzIYh9vHwsNT25zkSYj8GM44hmVih0KfCrte9bTySBX62cTQRkzrDIIB8lz1MtK0REucL4MstFEBmWt+Q5Vw7cVAhHk7czvt0obPewZWE6CgFeiJLn/MT2RI5VX7HE4nyO0dHdFItD4yHpXgrBVwplpVBeDtDi5Hqp5R6HOuXgHJ8uh3J4Lgexp0N6+rqTlod9Z8OIohbMCkRRS/KwFiwqEEWF1HQLUW4BdqQ6YTsW6kRRIbXt8nRrmG+d2GfUShS1ZvQaJ8s08M3sbcCNQA74urt/Pov9dK8/LxmCWA7LqCJ8U2FLhLo65jF3x0n+UEr+YPLUdJj35FwqdqfkEIeyEk6cWhaHZXFYNu167qF8ov74ej6x/5ijWy+GsM9kvVKqTaVUnZJ7aluHL4tTr62Uanvl/Ex1fz88SmdU5L7735DBv5qNB5pZPkznQ8CFZytgUT5ZbgUs1x6m80lghnUtyocQTdWNCkm9GepGYX8WQjgKIZwOcxsP5QJmLZjV9levtZBZ4JtZDvgy8BZgF/CQmd3p7k/M9r78BOMXBwboGxshHokpRQsg9QFwPAkAykHgEx9Q91QY+GEfXq/44B0WQGE5qW14WBaHuuPznvT3pOtUBpunp9PLfOIPxnK9mIllyf6ShZXlPsM6k/czsf24on3j5anXQ3k+VTaxjk25vYl17PD2NeEPByJicjgRMVFyVIjMJ5UbTlSuY+W6cShLz5e3EU8qy+OcQcx58RbMWjjn7M9jUQGz3ER4Wi4EZrksF8rzqRCfXJaUJ+tKfcjyDP8i4Bl33w5gZrcCVwGzHvh333cRrYzQBYyR50/te8e9TfPkg2apD6IRYzD+TPjAMb68/EjqABXlSeRFUywjtZ6NL5t6P9Nto3I/lWW5afeTfg2Vr2/611G5jfJ2okn7qdz+1PuZeRsT+ykvKwdhOdxsUnk8vq2I0kSQppZFOJERlkFufB+EUCXUSabDH5ATIWtJWc5Ibc/GtxcZSWCbJfOhbhLkhiW9dxhR+IFchGHhgndRUmTJnpPyKBzzZHqqMjDMyq1lfDrZR1K2ZPFfcOKJV1X7MZAGk2XgrwR2puZ3ARdXVjKz9cB6gFWrVh3TjrYMX0inD9I1sp+4mOP2121JPniWfLBylD+c4cMXPpjJc6hT/gCHD5gZ4x8SGz/zTD6Qk+ax8V+02nhklAssVcbUZeMf8PQ+mGIf6bbMsL0p21hZr3J7s7idaY7RxJ/OE89J2eRjNqnelMd6Yv8T4TaxranKIJq0r2b7M16kLMvAn+pTddgYFne/CbgJoKen55jGuPzHd3z7WFYTEWkqWY7R2gWckpo/GXgxw/2JiMgMsgz8h4CzzOw0M2sBrgHuzHB/IiIyg8y6dNy9aGb/DvgpSTf6N9x9a1b7ExGRmWU6Dt/dfwz8OMt9iIhIdervd9YiInJMFPgiIk1CgS8i0iQU+CIiTcLcs7qe79Ezsz3A88ew6nJg7yw3pxHouBxOx2RqOi6Hq5djcqq7V3Ut9HkV+MfKzDa5e0+t2zHf6LgcTsdkajouh2vEY6IuHRGRJqHAFxFpEo0S+DfVugHzlI7L4XRMpqbjcriGOyYN0YcvIiJH1ihn+CIicgQKfBGRJlH3gW9mbzOzp8zsGTP7dK3bM1fM7BQzu8fMnjSzrWb2sVDeZWY/M7Onw/PSUG5m9j/CcXrUzC6s7SvIjpnlzOxhM9sQ5k8zswfDMfleuFw3ZtYa5p8Jy1fXst1ZMrMlZnabmW0L75lLmv29Ymb/Pnx2HjezW8ysrdHfK3Ud+Kkbpf8RcA5wrZmdU9tWzZki8Al3Pxt4PfDh8No/Ddzt7mcBd4d5SI7RWeGxHvjK3Dd5znwMeDI1/wXgS+GYHACuD+XXAwfc/UzgS6Feo7oRuMvd1wLnkxyfpn2vmNlK4KNAj7ufS3IJ92to9PeKu9ftA7gE+Glq/jPAZ2rdrhodix8CbwGeAlaEshXAU2H6q8C1qfrj9RrpQXJntbuBK4ENJLfa3AvkK98zJPdquCRM50M9q/VryOCYLAKeq3xtzfxeYeKe213h334D8NZGf6/U9Rk+U98ofWWN2lIz4c/LC4AHgRPc/SWA8PyqUK1ZjtUNwKeAOMwvA3rdvRjm0697/JiE5X2hfqM5HdgDfDN0dX3dzDpo4veKu78A/Hfg98BLJP/2m2nw90q9B35VN0pvZGbWCfwA+Li7989UdYqyhjpWZvZOYLe7b04XT1HVq1jWSPLAhcBX3P0CYIiJ7pupNPxxCd9XXAWcBpwEdJB0ZVVqqPdKvQd+U98o3cwKJGH/HXe/PRS/YmYrwvIVwO5Q3gzH6lLgXWa2A7iVpFvnBmCJmZXv7pZ+3ePHJCxfDOyfywbPkV3ALnd/MMzfRvIfQDO/V94MPOfue9x9DLgdeAMN/l6p98Bv2hulm5kBfwc86e5fTC26E/hgmP4gSd9+ufxfhREYrwf6yn/ONwp3/4y7n+zuq0neCz939+uAe4D3hGqVx6R8rN4T6tfdWduRuPvLwE4zWxOK3gQ8QRO/V0i6cl5vZgvCZ6l8TBr7vVLrLxFm4cuXtwO/A54FPlvr9szh676M5E/KR4Et4fF2kn7Fu4Gnw3NXqG8kI5qeBR4jGZ1Q89eR4fF5I7AhTJ8O/AZ4Bvg+0BrK28L8M2H56bVud4bHYx2wKbxf/h5Y2uzvFeCvgG3A48D/BVob/b2iSyuIiDSJeu/SERGRKinwRUSahAJfRKRJKPBFRJqEAl9EpEko8EVEmoQCX2QWmNlgrdsgciQKfGkY4XLZIjINBb7UBTNbHW7ecXO4Kcdt4WfxO8zsP5vZfcB7zWydmT0Q6tyRuqnHvWZ2g5n9Ktzw4qJQ3mVmfx/qP2Bm54XyPzSzLeHxsJktNLNOM7vbzH5rZo+Z2VVVtn3a9czsc+F1/SzchOOTofwMM7vLzDab2S/NbO2sH1RpPrX+qa8eelTzAFaTXEri0jD/DeCTwA7gU6l6jwJ/GKb/GrghTN8LfC1MXw48Hqb/J/BfwvSVwJYw/aPUvjpJrjiZBxaFsuUkP7Mv/1p9cIa2T7ke0ENySYx2YCHJJQ4+GerdDZwVpi8muXZLzf8d9KjvR/mqcCL1YKe73x+mv01yxyKA7wGY2WJgibv/IpTfTHL9k7JbANx9o5ktMrMlJNckenco/7mZLQvbuR/4opl9B7jd3XeFq5P+VzO7nOR6+yuBE4CXj9Bum2a9y4AfuvtwaP+PwnMnyZUbv59c1wtIrvMiclwU+FJPKi/8VJ4fOo71p7zOubt/3sz+geSCdA+Y2ZtJbiXZDbzO3cfCZZjbqtjvddOsN9W+Ielq7XX3dVVsW6Rq6sOXerLKzC4J09cC96UXunsfcMDM/iAUfQD4RarK1QBmdhnJJX/7gI0kgYyZvRHY6+79ZnaGuz/m7l8gucrkWpJroO8OoX0FcGqV7Z5uvfuAPw43z+4E3hFeRz/wnJm9N7TLzOz8KvclMi2d4Us9eRL4oJl9laS/+yvARyrqfBD432a2ANgO/Flq2QEz+xXJPV4/FMr+kuTWf48CB5m45vnHQziXSK6T/hOSfvYfmdkmkr73bVW2+ztTrefuD5nZncAjwPMk/7H0hXWuA75iZv8JKJDc0OWRKvcnMiVdHlnqQrhv7wZ3P/cY17+X5AvRTbPYrOOAToP2AAAAW0lEQVRmZp3uPhj+g9oIrHf339a6XdKYdIYvUls3mdk5JH36NyvsJUs6wxeZJWb2WpI7J6WNuPvFtWiPSCUFvohIk9AoHRGRJqHAFxFpEgp8EZEmocAXEWkS/x9JkSAKFge8XgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(make2D('age_all', rdf), make2D('triggers_all', rdf))\n",
    "plt.ylabel('triggers')\n",
    "plt.xlabel('proposal_age')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'phase: Triggers & Conviction')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.loglog(make2D('conviction_all', rdf), make2D('triggers_all', rdf))\n",
    "a = plt.axis()\n",
    "plt.loglog(a[:2],a[2:], 'k',alpha=.5 )\n",
    "plt.ylabel('triggers')\n",
    "plt.xlabel('conviction')\n",
    "plt.title('phase: Triggers & Conviction')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x1a2eca74a8>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "T = time_periods_per_run\n",
    "plt.loglog(rdf.timestep,make2D('conviction_share_of_trigger_all', rdf))\n",
    "plt.title('conviction_share_of_trigger')\n",
    "plt.xlabel('time $t$')\n",
    "plt.ylabel('conviction_share_of_trigger')\n",
    "plt.hlines(1,0,T, linestyle='--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x1a3a1e6630>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.loglog(make2D('age_all', rdf), make2D('conviction_share_of_trigger_all', rdf))\n",
    "plt.ylabel('triggers')\n",
    "plt.xlabel('proposal_age')\n",
    "plt.hlines(1,0,T, linestyle='--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "nets = rdf.network.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "snap_plot(nets[-1:], ani=False, savefigs=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}