conviction/.ipynb_checkpoints/conviction_cadCAD2-checkpoint.ipynb

{
 "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': 89026.13634431336,\n",
       " 'trigger': 4438.095706916903}"
      ]
     },
     "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': 570.1459900261814,\n",
       " 'sentiment': 0.9512015080497604}"
      ]
     },
     "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': 0.014451435550625114,\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': 5.586177183099282, 'type': 'influence'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "network.edges[influencers[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'conflict': 0.8113036023446017, 'type': 'conflict'}"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "network.edges[competitors[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Participants Social Network')"
      ]
     },
     "execution_count": 14,
     "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": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Proposals Conflict 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 = proposals, edgelist=competitors, node_color='b')\n",
    "plt.title('Proposals Conflict Network')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Histogram of Participants Token Holdings')"
      ]
     },
     "execution_count": 16,
     "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": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Histogram of Proposals Funds Requested')"
      ]
     },
     "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]['funds_requested'] for i in proposals])\n",
    "plt.title('Histogram of Proposals Funds Requested')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 121.63714285714283, 'participant_id')"
      ]
     },
     "execution_count": 19,
     "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": 20,
   "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": 21,
   "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": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "function"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(trigger_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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": 24,
   "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": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simulation_parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_conditions = {'network':network,\n",
    "                      'supply': initial_supply,\n",
    "                      'funds':initial_funds,\n",
    "                      'sentiment': initial_sentiment}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'network': <networkx.classes.digraph.DiGraph at 0x1a212fac88>,\n",
       " 'supply': 27015.659260348395,\n",
       " 'funds': 729845.845271248,\n",
       " 'sentiment': 0.7}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initial_conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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": 28,
   "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": 29,
   "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": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "multi_proc: [<cadCAD.configuration.Configuration object at 0x1a21e70908>]\n",
      "[<cadCAD.configuration.Configuration object at 0x1a21e70908>]\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": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = results[0]['result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a23109b70>"
      ]
     },
     "execution_count": 32,
     "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.supply.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1acaf67cc0>"
      ]
     },
     "execution_count": 33,
     "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": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2213f710>"
      ]
     },
     "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.plot(x='timestep', y='funds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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": 36,
   "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": 37,
   "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": 38,
   "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": 39,
   "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": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdf= df[df.substep==4].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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": 42,
   "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": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 545.3181818181818, 'participant_id')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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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": 44,
   "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": 45,
   "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., ...,  143.,  136.,  106.],\n",
       "       [ 999.,  999.,  999., ...,  144.,  137.,  107.],\n",
       "       [1000., 1000., 1000., ...,  145.,  138.,  108.]])"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make2D('age_all', rdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a23f3c4a8>"
      ]
     },
     "execution_count": 46,
     "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": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a230b5c50>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YREQOoEg0+/tYFFhERA4gNYVJxhk5ciRTpkypMc+kSZP45ptv6nTcpUuX0rVr1xrzXHjhhXTv3p377ruvTseOZ9KkSVx11VX7fRyRdJMLD/pS530OmjRpEl27duWHP/xh0o757bff8u6777Js2bKkHVMkG2lJF0maJ554gu7du9OjRw8uuugili1bxqBBg+jevTuDBg1i+fLlgFfjuOKKKzjxxBM59NBD+c9//sPFF1/MkUceyciRIyuO17hxY371q1/Rq1cvBg0axJo1a6qcc/bs2QwYMIDevXszePBgVq1axZQpU5g1axY//elPKS0tZfv27XHzxfbv0aMH/fr1q3WU2SmnnMLq1aspLS3lv//97x4PAFu7di3t27cHvKB29tlnM2TIEDp06MCNN95YcYyJEydyxBFHMGDAgD2GSj/77LN07dqVHj160L9//326/iLpYndgyd7IknM1lt99+DsWrl+Y1GN2atmJm46+qdrt8+fP55577uGdd96hqKiI9evXM2LECH7+858zYsQIJkyYwNVXX80LL7wAwIYNG3jzzTeZOnUqZ5xxBu+88w6PPvooRx11FGVlZZSWlrJ161Z69erFH//4R8aOHctdd93FAw88UHHOmpbTf+CBBxg3bhx9+vSpMd+oUaMYP348AwYM4IYbbqjxGkydOpWhQ4dSVlZW6/UqKyvjk08+oaCggI4dOzJ69GhCoRB33nkns2fPplmzZpx44on07NkTgLFjxzJ9+nTatm2r5fgl4ymwSFK8+eabnHvuuRQVFQHeEvnvvfce//znPwG46KKL9vjL/YwzzsDM6NatG61bt6Zbt24AdOnShaVLl1JaWkogEKhYiPJnP/tZxRL3MYkup19dvk2bNrFx40YGDBhQUcZ///vfSbkegwYNolmzZgB07tyZZcuWsXbtWgYOHEhxcTHgrYn2xRdfAHDccccxcuRIzj///CqfUyTTRHNg2fycCyw11Szqi3Ou1qGFlbfHlqsPBAIVr2PvKy9fX93+sXN26dKlYtXjmsoWL9/GjRv3azhk5SX5q1uOH/Zckr+68z388MN88MEH/Otf/6K0tJSysjJatWq1z2UTSSU9QVKSYtCgQZx11llcd911tGrVivXr13Psscfy9NNPc9FFF/HUU09x/PHH1+mY0WiUKVOmcMEFF/D3v/+9yv6Vl9Pv168f5eXlfPHFF3Tp0mWPpflrytesWTPefvttjj/++Iql8hPVvn17Zs+ezdFHH13rKDWAvn37cs0117Bu3TqaNm3Ks88+S48ePQD48ssv6du3L3379uWll15ixYoVCiySdqJRx2VPzmb5+q015tuyw/tDSjUW2S9dunThtttuY8CAAQSDQXr27Mn999/PxRdfzB/+8AeKi4uZOHFinY7ZqFEj5s+fT+/evWnWrBmTJ0/eY3tNy+mPHDmSyy+/nAYNGvDee+9Vm2/ixIlcfPHFNGzYkMGDB9epfNdffz3nn38+Tz75JCeddFKt+du0acOYMWPo168fbdq0oVevXkQiEQBuuOEGFi1ahHOOQYMGVQQckXSydVeY1xd8R6cfNKGkqFGNefsfkcdhB9WcJ5Np2fwM1bhxY7Zs2ZLqYqSVbPw9S+ZYv3UXve5+jTFndGbkcSWpLk6dadl8EZE0E/YfZp8X0teqmsIyVKpqK9OnT+emm/YcAFFSUsLzzz+fkvKIpItdscASUGBRYJE6GTx4cJ37W0RyQTjidSvkhbK3Uz5RORNas60vSfak36+kWrlfYwmpxpIbgaWwsJB169bpyydLOedYt24dhYWFqS6K5LCKprBgTnyt1ignmsLatWvHypUr466nJdmhsLCQdu3apboYksNiTWH5agrLjcCSl5dHSUnmDf8TkcyhprDddAVERJKgPNZ5r6YwBRYRkWQor+hjUVOYAouISBKUq/O+gq6AiEgSxJrCQqqxJBZYzKy5mU0xs4VmtsDM+plZSzN7zcwW+f+28POamd1vZovNbI6Z9ap0nBF+/kVmNqJSem8zm+vvc7/566dXdw4RkXQTq7Hkq8aScI3lz8ArzrlOQA9gAXAz8IZzrgPwhv8e4FSgg/9zGfAQeEECuBPoCxwN3FkpUDzk543tN8RPr+4cIiJpYfOOcp54bylvLPgOUFMYJBBYzKwp0B94DMA5t8s5txEYBjzuZ3sc+In/ehjwhPO8DzQ3szbAYOA159x659wG4DVgiL+tqXPuPefNYHxir2PFO4eISFp4Zd633PHifF4o+4bGBSFaNMpPdZFSLpF5LIcCa4CJZtYDmA1cA7R2zq0CcM6tMrOD/PxtgRWV9l/pp9WUvjJOOjWcQ0QkLWzd6T24a+YNJ9K6WQEFoWCKS5R6idTZQkAv4CHnXE9gKzU3ScXruXL7kJ4wM7vMzGaZ2SzNrheRA2ln2OtbadU4X0HFl0hgWQmsdM594L+fghdovvObsfD/XV0p/8GV9m8HfFNLers46dRwjj045x5xzvVxzvUpLi5O4COJiCRHLLAU6DksFWq9Es65b4EVZtbRTxoEfAZMBWIju0YAL/qvpwI/90eHHQNs8puzpgOnmFkLv9P+FGC6v22zmR3jjwb7+V7HincOEZG0sDMcIRQwQuq0r5DoWmGjgafMLB9YAozCC0rPmNklwHLgPD/vNOA0YDGwzc+Lc269md0NfOTnG+ucW++/vgKYBDQA/u3/APy2mnOIiKSFneVR1Vb2klBgcc6VAfGehTwoTl4HXFnNcSYAE+KkzwK6xklfF+8cIiLpYkc4QkGe+lYqU5gVEdkPqrFUpashIrIfdoYVWPamqyEish92hiMUqilsDznxoC+RTDX8r+8xZ+WmVBdDarAzHKFbu+apLkZaUWARSWNlKzbS6QdN6Htoq1QXRWpwQoeiVBchrSiwiKSxSNRx3OFF3DikU6qLIpIw9bGIpLFw1BEK6PkeklkUWETSVDTqLZkXUGCRDKOmsCy1ozzCA28uZou/8mplR7Ruwv/pe0gKSiV1EfYDi2oskmkUWLLUvK838cCMxTTKD+6xhtH28giAAksGiDovsAQDaliQzKLAkqV2+Y9JfWzkURxTaUTR/776OeNnLE5VsaQOYjUWrW0omUa3bJYKR7wvpbzgns0ooWAA57zRRpLeIhHVWCQz6Y7NUuGoV2PZ+0sp6LfXl/s1GklfEac+FslMCixZqjwS/0spVoNRjSX9xf440KgwyTQKLFkqFjjy9mqgD/k1mFhTmaSviEaFSYZSYMlSsaauYGDvPha/KSyqprB0F6novFdgkcyiwJKlqu2892ssagpLfxWBxRRYJLMosGSpWPv83s/hrqixqPM+7VVMkAwqsEhmUWDJUtXN2o69Vx9L+ouqKUwylAJLlgpXMyosVoMJq48l7YXVFCYZSoElS8WauvZuCsuL1VjUx5L21HkvmUqBJUuFo9XPvAc1hWWCiPpYJEMpsGSp6v7aDWnmfcaI/XEQUFOYZBgFliwVCxx5gfijwjTcOP1FK5Z00X9TySy6Y7NUOOIIWNXlQGJfUuVqCkt74Yj6WCQzKbBkqfJoNO5furEai0aFpT/1sUim0vNYUuyrtVt5e9GapB937spNcb+QYn0sr87/jqVrtyb9vJI8i1ZvAdTHIplHgSXF/jB9IdPmflsvx+5wUOMqaa2bFpIXNJ58f1m9nFOSKxQwDmpSkOpiiNSJAkuK7SiP0ukHTfjbL/om/dhNCqv+en/YvAGf3HEKO/xHFEt6K8wL0rhA/00ls+iOTbFI1FEQClDU+MD9Vdq4IKQvK5EU+HrL13y39btUF6Pe6dslxaLO6UFOIjnAOcc5U89ha3n2920qsKRYJOq0FpRIDtgV3cXW8q2c3eFshrQfkuriVHEsxybtWAosKRaJqsYikgt2RnYCcHjzw+n3w34pLk390jyWFFONRSQ37IrsAqAgmP2j/BRYUizinCbAieSAWI0lP5if4pLUPwWWFItGnSbAieSAnWEvsKjGIvUu4pzWghLJAaqxyAETiWrJDpFcEAsshcHCFJek/iUcWMwsaGafmNnL/vsSM/vAzBaZ2WQzy/fTC/z3i/3t7Ssd4xY//XMzG1wpfYifttjMbq6UHvcc2SQSjRJUeBfJerHOe9VY9nQNsKDS+98B9znnOgAbgEv89EuADc65w4H7/HyYWWfgAqALMAT4ix+sgsCDwKlAZ+BCP29N58gakaiawkRyQazGkgt9LAnNYzGzdsDpwD3AL83MgJOA/+NneRwYAzwEDPNfA0wBHvDzDwOeds7tBL4ys8XA0X6+xc65Jf65ngaGmdmCGs6RNaIOgmn6IKe5a+by54//TNiFU10UkYy3ccdGQIGlsj8BNwJN/PetgI3OVXzjrATa+q/bAisAnHNhM9vk528LvF/pmJX3WbFXet9azpE1vHksqS5FfO9+8y4ffPsBfVr3wdQPJLJfWjZoSUmzEn7U9EepLkq9qzWwmNlQYLVzbraZDYwlx8nqatlWXXq8P9dryh+vjJcBlwEccsgh8bKkrXSeeR+rqUwYPEGBRUQSlkgbzHHAmWa2FHgar3nqT0BzM4sFpnbAN/7rlcDBAP72ZsD6yul77VNd+toazrEH59wjzrk+zrk+xcXFCXyk9BF16TvzPhwNE7SggoqI1EmtgcU5d4tzrp1zrj1e5/ubzrmfAjOAc/1sI4AX/ddT/ff42990zjk//QJ/1FgJ0AH4EPgI6OCPAMv3zzHV36e6c2SNcBp33keiEUIBLScnInWzP73GN+F15C/G6w95zE9/DGjlp/8SuBnAOTcfeAb4DHgFuNI5F/H7UK4CpuONOnvGz1vTObJGNI0DS3m0XIFFROqsTt8azrm3gLf810vYPaqrcp4dwHnV7H8P3siyvdOnAdPipMc9RzZJ55n34WhYgUVE6iw9x7nmkEgarxUWdl4fi4hIXSiwpFg6N4Wpj0VE9oUCS4qlc+d9OBomL5CX6mKISIZRYEmxaJr3sagpTETqSoElxdL5CZJhp857Eak7BZYUcs4RdaTvzHuNChORfaBvjQRFoo57py1g3dZdSTumNweU9K2xqClMRPaBAkuCVm7YxqNvf0WrRvk0KkjeZSspakTPQ5on7XjJFHERdd6LSJ0psCQoHPVqF3ec0ZlhpVm3yHJcagoTkX2hPpYERf3Akq4juOqDAouI7AsFlgTFaizp2h9SH9THIiL7Qn+OJigSdVjeOl5YMZ4Pt2T/E+AAVmxeQdeirqkuhohkGAWWBEWijrymc3l3zSu02twqJ55REgwE6d26d6qLISIZRoElQRHngAgAr5/3uvoeRESqoT6WBEWiDiwKoH4HEZEaKLAkKBZYAgRyohlMRGRfKbAkKBJ1QJSgmsBERGqkwJKgSNRhFlEzmIhILRRYElTRFKbAIiJSIwWWBMUCS9DUFCYiUhMFlgSF/T6WkGosIiI1UmBJUEUfizrvRURqpMCSIG+CZFSd9yIitVBgSVAkGgWLasa9iEgtFFgSFInid96rxiIiUhMFlgR5NZYIwYACi4hITRRYEhSJghElpOHGIiI1UmBJkPpYREQSo8CSoNhaYSE1hYmI1EiBJUHhqPP7WFRjERGpib4la7F1Z5jt5RE27wj7TWGqsYiI1CQnAsu/567ii++2cGn/Ehrm1/6RnXPMWDGDr79fy2+mLaQ84j3gq6BoM3mBdvVdXBGRjJYTgeWKpz4GoOchzel/RHGt+VduXsk1M64BINR6z4v0g0YH1UcRRUSyRk4ElphYzaM2W8NbAbis803874vGb87uysAjvIByUEMFFhGRmuRUYPFWKK5deaQcgOb5RbhwhKLCH9Cmcev6LJqISNbIqVFh4UiCgSXqBRbz424ooGfci4gkKrcCSzSxprBYYAngjQALKrCIiCQsp5rCItU0hS1ft41FqzcD0POQFhWBBecFFtVYREQSlzOBpTHbsB0bgarDhf/v32azYNX3AJzTqx2nH7ML2N0UphqLiEjiam0KM7ODzWyGmS0ws/lmdo2f3tLMXjOzRf6/Lfx0M7P7zWyxmc0xs16VjjXCz7/IzEZUSu9tZnP9fe43M6vpHPtiWv4tnPnawLjbvt9ezkmdDqKkqBGbd5TvrrHE+liCCiyVSZuXAAARyUlEQVQiIolKpI8lDPzKOXckcAxwpZl1Bm4G3nDOdQDe8N8DnAp08H8uAx4CL0gAdwJ9gaOBOysFiof8vLH9hvjp1Z2jzg4JrCHoymH7xirbyiNRWjctoElhiPJItFLnfawpLKe6okRE9kut35jOuVXOuY/915uBBUBbYBjwuJ/tceAn/uthwBPO8z7Q3MzaAIOB15xz651zG4DXgCH+tqbOufeccw54Yq9jxTvHvlv5UZWkXZEoecEAecEAuyLRiuHGRNUUJiJSV3X6U9zM2gM9gQ+A1s65VeAFHyA2c7AtsKLSbiv9tJrSV8ZJp4Zz7Lu5U6oklYej5AcD5AcDlIdd1RqLmsJERBKWcGAxs8bAc8C1zrnva8oaJ83tQ3rCzOwyM5tlZrPWrFkTN89WV1Dt/uURR14oQF7Ir7FUjArTPBYRkbpKKLCYWR5eUHnKOfdPP/k7vxkL/9/VfvpK4OBKu7cDvqklvV2c9JrOsQfn3CPOuT7OuT7FxcV7bwMgRMRLiIarbI81heUHzetjiew53DioPhYRkYTVOtzYH6H1GLDAOfe/lTZNBUYAv/X/fbFS+lVm9jReR/0m59wqM5sO/KZSh/0pwC3OufVmttnMjsFrYvs5ML6Wc9Ro3tebOKhpAQe5DbivZhKisCKwRCPlvLJkGlvKtwDekyHzms9n8favWGvb2RjaycervfjlNI9FRKTOEpnHchxwETDXzMr8tFvxvuyfMbNLgOXAef62acBpwGJgGzAKwA8gdwOx3vOxzrn1/usrgElAA+Df/g81nKNGQ8e/TfOGeZR1fJLAgqkcFbiNoHk1lwWRzdz035v2yF/YBv67wX/TCGasgKIGReC8moo670VEEldrYHHOvU38fhCAQXHyO+DKao41AZgQJ30W0DVO+rp450jExm3lsGEpAE3YVpG+ye8/uf/E++lW3I1N23dx8h9n8ssfH8Hn321m9rINvDT6eBrnNea52d8BqrGIiNRFls+892opDdhZkbLVebPq2zZpS1GDIqLhHbhIE5oXtqJJXohweblXW2H3opWqsYiIJC4neqUb2u7AssXvvG+c1xjwRoQB5AeNvGBgj2e2xJbZ1wRJEZHEZd03Zrxxyg3YVfF6q/MCS6O8RoA3hwUgPxSbx7I7sET81ZA1j0VEJHFZ1xQWG15cWawpLAJ8FN4GefD2F98TtG2s2rQDwJt5HwqwMxzllXmrAFiwylvxWE1hIiKJy8LAUjWtoXnB47FmTXkzbycuUsiVT83ZI0/LRvm0apRPOOq4/G8fV6Q3LgiRF8y6ip2ISL3JvsASJy3WFLbBDxB/OO4h2p96RMX2wrwg7Vs1pG9JK/ofUbzHc1uKGheoxiIiUgdZF1iiNTSFhc1o7oxTO/aJu2/Q4IhWBYCDQAgCwfosqohIVsq6wBKvKayBPyosDARrWoWs7O/wwhXe6xbt4eoyMNVWRETqIus6D/YILFFvGZeGsc57M4I1rW+5dhFYAA47yZtcGVszTEREEpZ9gaVy4Ah7AaViVFggVHMVLbILQg3g0BP99ztryi0iInFkX2CpXCHxaxwNzOu8DweChGpqCovsgmAeBPP32F9ERBKXdYFlydotDA/OYG7BJbBpOQC9bBEAkUCQYLxOmJjILi+oBPN2vxcRkTrJus77Vo0K6GZLyLco9LuKDTvhuQ+/5ITOPyISfY/gznXV7xwp9wNLrMaiwCIiUldZF1jaNCvkB03y2bazIQWD72Hd6i38+t3/cH+XnoQ/+4hQbTWWUD6E/KdNqilMRKTOsq4pDCBoUaL+R4st8RIwb0mXYDTsjf6KR01hIiL7LSsDS4jdgSU2iT5gRiQQ8uaxPHZK/B0j5Xt13iuwiIjUVVYGlgCuIrDElmcJmBFp1o5QYXPYvh4i4ao7VtRYNCpMRGRfZWdgsSiRihrL7qawMFGCDVp4mXZtrrqjmsJERPZbVgaWIJX7WLy0gBmRaIRgLGjsjBNYwnvNYwlrgqSISF1lbWCJ1VgisRpLACIuQjDgB414gSWyC4IF3g+oKUxEZB9k3XBjgEClGsv2Xd56YQEzwtEwoVhtZMt30PyQPXcM79yzKWzn91UDUH5jLUwpIlKDrAwssRrL0rVbufD/vQ9AfjBA2IUJhpp4mZ48K/7OBx0JeQ29189dUnX7UZfC6ePqodQiItkhKwNLgCgRjDX+Y4eHdm9D7/YtiMyLEGzQEs6436uNxNNhMLQ6DIb9xRs9VtkHf4UNX9Vz6UVEMluWBhZvuHFsqPGIY9tTEAoScRFCwTzoPaL2g/T8adW0BS9DNM4w5Uyy+Vv4yzGwY1Ni+Y+7Bk4eU58lEpEsk5WBJUiUsAsQjka99/6jhbeVbyNk+/GRA6H4818yyaavYfsG6HoOtDy05rwfPwnfzT8w5RKRrJGVgSXWFBaOeDWWUMBY9v0y1mxfg+1Px3sgmPlDkKP+SLeeP/MeaFaTJW9pZJyI1FlWDjcO+J334WgssAT4YsMXAAw6ZNB+HDiU+U1hsUARyKs9byAv8z+viBxwWVtjKXcBXl/wHZa3lk/XvcsXWz4AoHfr3vt+4GAWfNHGaiyBBH71gaBqLCJSZ1kZWPIDjl0RmDJ7JY0Om8BvPvZGd7UqbEXT/Kb7fuBsqLFEvXk9FXN1ahLMg/Lt9VseEck6WRlY2jTNp2nThvAlWGAHJ7QZxP/0+gWtG7be/z6WTA8skbrUWPJ213BERBKUlYEl4KI0aejPsA+EKW7Ymq5FXZNw4GyosdQlsGTBKDiRA+nr2fD9N9Vvb9AC2h9/4MqTIlkZWHARsKD32iIUxJZx2V9ZEVj88ifUFJYFn1fkQCnf4T3rqbb/M1d/UvtQ/wyXnYElGvWarYhiFiE/kS/RRATyMv8v+Fj51RQmkly7tnpB5bhrodu5VbcvfQdeuQm2bzzwZTvAsjOwuAhYAMybIJm8GksW9LGoKUykfoS9JaRoWQI/6FZ1+9Y1fr4MnwuXgKycx0I04gUB80ZA5aspbDc1hYnUj1hgCRXG3x5Lj+XLYtkZWPw+FjPvS7EgpMBSoc4TJNUUJpKQWE2k1sCiGktm2qvGUpiswJIVEyRjNZYEmsKCeZogKZIo1VgqZGdgcVG/j8WvsaiPZbc6zWPJghqayIFSEVgK4m+PpSuwpJ6ZDTGzz81ssZndnNBOLuoNN67oY0nWqLAs+KKNlT+hprAs+LwiB4pqLBXSOrCYWRB4EDgV6AxcaGada90xGoFAAKuvznvnknO8VKhT572awkQSVtHHUl2NRX0s6eJoYLFzbolzbhfwNDCs1r1iEyT9prC8RP46T0Ss+Si23lYmigUKS+BXHwh51zKTA6nIgRKrieQ1iL89L3dqLOk+j6UtsKLS+5VA35p2WLz2M37S7BD4/kMatC0D6iGwPNQvsS/mdLRltdcMlsiaabHr9mDfxPKL5LLYU1mrayGJ1VjeuR/K/n5gypQi6R5Y4n2bVfnz2cwuAy4DKDqkAYcWFkPLQ2lFU7btDNGtOM5kpX3R8TT4bl5m9zsUd4TWCa6b1ul0WLMgsz+vyIHUqBhatI+/LRCE/jfC2s8PaJES92HSjmQujZs5zKwfMMY5N9h/fwuAc+7e6vbp06ePmzVr1gEqoYhIdjCz2c65Psk4Vrq353wEdDCzEjPLBy4Apqa4TCIiUoO0bgpzzoXN7CpgOhAEJjjn5qe4WCIiUoO0DiwAzrlpwLRUl0NERBKT7k1hIiKSYRRYREQkqRRYREQkqRRYREQkqRRYREQkqdJ+VFhd+DPw15rZslSXJU0UAWtTXYg0oWuxm67FbroWu3VM1oGyKrAAlznnilNdiHRhZrOSNZM20+la7KZrsZuuxW5mlrQlS9QUJiIiSaXAIiIiSZVtgeWRVBcgzeh67KZrsZuuxW66Frsl7Vqk9erGIiKSebKtxiIiIimWNYHFzIaY2edmttjMbk51eeqbmR1sZjPMbIGZzTeza/z0lmb2mpkt8v9t4aebmd3vX585ZtYrtZ8g+cwsaGafmNnL/vsSM/vAvxaT/UcvYGYF/vvF/vb2qSx3splZczObYmYL/fujX67eF2Z2nf//Y56Z/cPMCnPlvjCzCWa22szmVUqr831gZiP8/IvMbEQi586KwGJmQeBB4FSgM3ChmXVObanqXRj4lXPuSOAY4Er/M98MvOGc6wC84b8H79p08H8uAx468EWud9cACyq9/x1wn38tNgCX+OmXABucc4cD9/n5ssmfgVecc52AHnjXJOfuCzNrC1wN9HHOdcV79MYF5M59MQkYsldane4DM2sJ3In3SPijgTtjwahGzrmM/wH6AdMrvb8FuCXV5TrA1+BF4MfA50AbP60N8Ln/+q/AhZXyV+TLhh+gnf8f5STgZbzHWq8FQnvfI3jP9+nnvw75+SzVnyFJ16Ep8NXenycX7wugLbACaOn/nl8GBufSfQG0B+bt630AXAj8tVL6Hvmq+8mKGgu7b6CYlX5aTvCr7D2BD4DWzrlVAP6/B/nZsv0a/Qm4EYj671sBG51zYf995c9bcS387Zv8/NngUGANMNFvFnzUzBqRg/eFc+5rYBywHFiF93ueTW7eFzF1vQ/26f7IlsBicdJyYribmTUGngOudc59X1PWOGlZcY3MbCiw2jk3u3JynKwugW2ZLgT0Ah5yzvUEtrK7uSOerL0WfpPNMKAE+CHQCK/JZ2+5cF/UprrPvk/XJFsCy0rg4Erv2wHfpKgsB4yZ5eEFlaecc//0k78zszb+9jbAaj89m6/RccCZZrYUeBqvOexPQHMziy1bVPnzVlwLf3szYP2BLHA9WgmsdM594L+fghdocvG+OBn4yjm3xjlXDvwTOJbcvC9i6nof7NP9kS2B5SOggz/aIx+vg25qistUr8zMgMeABc65/620aSoQG7kxAq/vJZb+c3/0xzHApliVONM5525xzrVzzrXH+92/6Zz7KTADONfPtve1iF2jc/38WfGXqXPuW2CFmcUWFBwEfEYO3hd4TWDHmFlD//9L7Frk3H1RSV3vg+nAKWbWwq8BnuKn1SzVnUtJ7KQ6DfgC+BK4LdXlOQCf93i8KukcoMz/OQ2vTfgNYJH/b0s/v+GNnPsSmIs3Uibln6MerstA4GX/9aHAh8Bi4FmgwE8v9N8v9rcfmupyJ/kalAKz/HvjBaBFrt4XwF3AQmAe8CRQkCv3BfAPvL6lcryaxyX7ch8AF/vXZDEwKpFza+a9iIgkVbY0hYmISJpQYBERkaRSYBERkaRSYBERkaRSYBERkaRSYBHZi7868P/4r39oZlPq8VylZnZafR1fJBUUWESqag78D4Bz7hvn3Lm15N8fpXjzj0SyhuaxiOzFzJ7GW2Pqc7yJZEc657qa2UjgJ3jLr3cF/gjkAxcBO4HTnHPrzewwvMlmxcA24FLn3EIzOw9vCfII3gKHJ+NNOmsAfA3ci7cC73igG966X2Occy/65z4Lb4JfCfB359xd9XwpRPZJqPYsIjnnZqCrc67UXzn65UrbuuKtJF2IFxRucs71NLP7gJ/jrVH2CHC5c26RmfUF/oK3ftkdwGDn3Ndm1tw5t8vM7sCb5XwVgJn9Bm8pkYvNrDnwoZm97p/7aP/824CPzOxfzrlZ9XkhRPaFAotI3cxwzm0GNpvZJuAlP30u0N1fbfpY4FlveSrAq2UAvANMMrNn8BZEjOcUvAU1r/ffFwKH+K9fc86tAzCzf+It66PAImlHgUWkbnZWeh2t9D6K9/8pgPe8j9K9d3TOXe7XYE4HysysSh68NZvOcc59vkeit9/e7dZqx5a0pM57kao2A032ZUfnPRPnK78/JfYs8R7+68Occx845+7AezrhwXHONR0Y7a/Gi5n1rLTtx/4zyxvg9fW8sy9lFKlvCiwie/Gbm94xs3nAH/bhED8FLjGzT4H5eAMBAP5gZnP9484EPsVbwr2zmZWZ2XDgbiAPmOPnu7vScd/GW6G3DHhO/SuSrjQqTCQD+KPCKjr5RdKZaiwiIpJUqrGIiEhSqcYiIiJJpcAiIiJJpcAiIiJJpcAiIiJJpcAiIiJJpcAiIiJJ9f8BYbTdDmmC9HsAAAAASUVORK5CYII=\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": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'share_of_funds_requested')"
      ]
     },
     "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": [
    "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": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, '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.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": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'proposal_age')"
      ]
     },
     "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.plot(make2D('age_all', rdf), make2D('triggers_all', rdf))\n",
    "plt.ylabel('triggers')\n",
    "plt.xlabel('proposal_age')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'phase: Triggers & Conviction')"
      ]
     },
     "execution_count": 51,
     "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": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x1a6d890828>"
      ]
     },
     "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": [
    "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": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x1a7bfa8908>"
      ]
     },
     "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": [
    "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": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "nets = rdf.network.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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
}