diff --git a/Colab/.ipynb_checkpoints/CIC_Network_cadCAD_model-checkpoint.ipynb b/Colab/.ipynb_checkpoints/CIC_Network_cadCAD_model-checkpoint.ipynb
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--- a/Colab/.ipynb_checkpoints/CIC_Network_cadCAD_model-checkpoint.ipynb
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-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# CIC Current System Network Graph"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Graph overview \n",
-    "\n",
-    "Modeling as a weighted directed graph with agents as nodes. A network is a set of items (nodes or vertices) connected by edges or links. \n",
-    "We represent a network by a graph (N, g), which consists of a set of nodes N = {1, . . . , n}.\n",
-    "\n",
-    "#### Node types\n",
-    "* Agent\n",
-    "\n",
-    "An agent is a user of the CIC system.\n",
-    "* Chama\n",
-    "\n",
-    "A chama is a savings group consisting of multiple agents. Redemptions of CICs for fiat occur through chamas.\n",
-    "* Trader\n",
-    "\n",
-    "A trader is an agent interacting with the bonding curve for investment/arbitrage opportunities.\n",
-    "* Cloud\n",
-    "\n",
-    "The cloud is a representation of the open boundary to the world external to the model.\n",
-    "* Contract\n",
-    "\n",
-    "The contract is the smart contract of the bonding curve.\n",
-    "\n",
-    "### Edges between agents\n",
-    "The edge weight gij > 0 takes on non-binary values, representing the intensity of the interaction, so we refer to (N, g) as a weighted graph.\n",
-    "E is the set of “directed” edges, i.e., (i, j) ∈ E\n",
-    "\n",
-    "#### Edge types\n",
-    "* Demand\n",
-    "* Fraction of demand in CIC\n",
-    "* Utility - stack ranking. Food/Water is first, shopping, etc farther down\n",
-    "* Spend\n",
-    "* Fraction of actual in CIC\n",
-    "\n",
-    "![](images/dualoperator.png)\n",
-    "\n",
-    "\n",
-    "![](images/v3differentialspec.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Assumptions\n",
-    "(Defining data structures, not just initialization. Baking in degrees of freedom for future experimentation)\n",
-    "\n",
-    "* agents = a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p\n",
-    "* Agent starting native currency is picked from a uniform distribution with a range of 20 to 500. Starting tokens is 400.\n",
-    "* system = external,cic\n",
-    "* chama = chama_1,chama_2,chama_3,chama_4\n",
-    "\n",
-    "Chamas are currently set to zero, it can be configured for more detailed analysis later on.\n",
-    "* traders = ta,tb,tc\n",
-    "\n",
-    "Traders are currently set to zero, it can be configured for more detailed analysis later on.\n",
-    "* Utility Types Ordered:\n",
-    " * Food/Water\n",
-    " * Fuel/Energy\n",
-    " * Health\n",
-    " * Education\n",
-    " * Savings Group\n",
-    " * Shop\n",
-    "* Utility Types Probability \n",
-    "  * 0.6\n",
-    "  * 0.10\n",
-    "  * 0.03\n",
-    "  * 0.015\n",
-    "  * 0.065\n",
-    "  * 0.19\n",
-    "* R0 = 500\n",
-    "* S0 = 200000\n",
-    "* P = 1\n",
-    "* priceLevel = 100\n",
-    "* fractionOfDemandInCIC = 0.5\n",
-    "* fractionOfActualSpendInCIC = 0.5 # if an agent is interacting with the external environment, then the actual spend is 100% shilling.\n",
-    "* kappa = 4\n",
-    "\n",
-    "\n",
-    "## Initial State Values\n",
-    "\n",
-    "# Equations\n",
-    "\n",
-    "## Generators\n",
-    "* Agent generation for each time step: Random choice of all agents minus 2 for both paying and receiving.  \n",
-    "\n",
-    "* Agent demand each time: Uniform distribution with a low value of 1 and a high of 500. \n",
-    " \n",
-    "### Red Cross Drip\n",
-    "Every 30 days, the Red Cross drips 4000 shilling to the grassroots operator fiat balance.  \n",
-    "\n",
-    "### Spend Allocation \n",
-    "\n",
-    "#### Parameters:\n",
-    "* Agent to pay: $i$\n",
-    "* Agent to receive: $j$\n",
-    "* Rank Order Demand: $\\frac{v_{i,j}}{d_{i,j}}$\n",
-    "* Amount of currency agent $i$ has to spend, $\\gamma$\n",
-    "* Amount of cic agent $i$ has to spend, $\\gamma_\\textrm{cic}$\n",
-    "* Percentage of transaction in cic, $\\phi$\n",
-    "* Spend, $\\zeta$\n",
-    "\n",
-    "\n",
-    "if $\\frac{v_{i,j}}{d_{i,j}} * 1-\\phi > \\gamma_{i} \\textrm{and} \\frac{v_{i,j}}{d_{i,j}} * \\phi > \\gamma_\\textrm{cic} \\Rightarrow \\zeta = \\frac{v_{i,j}}{d_{i,j}}$ \n",
-    "\n",
-    "else $ \\Rightarrow \\zeta = \\gamma$\n",
-    "\n",
-    "Allocate utility type by stack ranking in. Allocate remaining fiat and cic until all demand is met or i runs out.\n",
-    "\n",
-    "\n",
-    "### Withdraw calculation\n",
-    "\n",
-    "The user is able to withdraw up to 50% of the their CIC balance if they have spent 50% of their balance within the last 30 days at a conversion ratio of 1:1, meaning that for every one token withdraw, they receive 1 in native currency. We are assuming that agents want what to withdraw as much as they can.\n",
-    "This is one of the most important control points for Grassroots economics. The more people withdraw CIC from the system, the more difficult it is on the system. The more people can withdraw, the better the adoption however. The inverse also holds true: the less individuals can withdraw, the lower the adoption.\n",
-    "\n",
-    "## Distribution to agents\n",
-    "#### Parameters\n",
-    "FrequencyOfAllocation = 45 # frequency of allocation of drip to agents\n",
-    "* idealFiat = 5000\n",
-    "* idealCIC = 200000\n",
-    "* varianceCIC = 50000\n",
-    "* varianceFiat = 1000\n",
-    "* unadjustedPerAgent = 50\n",
-    "\n",
-    "```\n",
-    "# agent:[centrality,allocationValue]\n",
-    "agentAllocation = {'a':[1,1],'b':[1,1],'c':[1,1], \n",
-    "                   'd':[1,1],'e':[1,1],'f':[1,1],\n",
-    "                   'g':[1,1],'h':[1,1],'i':[1,1],\n",
-    "                   'j':[1,1],'k':[1,1],'l':[1,1],\n",
-    "                   'm':[1,1],'o':[1,1],'p':[1,1]}\n",
-    "```\n",
-    "\n",
-    "Every 15 days, a total of unadjustedPerAgent * agents will be distributed among the agents. Allocation will occur based off of the the agent allocation dictionary allocation value. We can optimize the allocation overtime and make a state variable for adjustment overtime as a result of centrality. We are currently assuming that all agents have the same centrality and allocation.\n",
-    "\n",
-    "Internal velocity is better than external velocity of the system. Point of leverage to make more internal cycles. Canbe used for tuning system effiency.\n",
-    "![](images/agentDistribution.png)\n",
-    "\n",
-    "### Inventory Controller\n",
-    "Heuristic Monetary policy hysteresis conservation allocation between fiat and cic reserves. We've created an inventory control function to test if the current balance is in an acceptable tolarance. For the calculation, we use the following 2 variables, current CIC balance and current fiat balance, along with 2 parameters, desired cic and variance.\n",
-    "\n",
-    "Below is \n",
-    "```\n",
-    "if idealCIC - variance <= actual <= ideal + (2*variance):\n",
-    "    decision = 'none'\n",
-    "    amount = 0\n",
-    "else:\n",
-    "    \n",
-    "    if (ideal + variance) > actual :\n",
-    "        decision = 'mint'\n",
-    "        amount = (ideal + variance) - actual\n",
-    "    else:\n",
-    "        pass\n",
-    "    if actual > (ideal + variance):\n",
-    "        decision = 'burn'\n",
-    "        amount = actual - (ideal + variance) \n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "if decision == 'mint':\n",
-    "    if fiat < (ideal - variance):\n",
-    "        if amount > fiat:\n",
-    "            decision = 'none'\n",
-    "            amount = 0\n",
-    "        else:\n",
-    "            pass\n",
-    "if decision == 'none':\n",
-    "    if fiat < (ideal - variance):\n",
-    "        decision = 'mint'\n",
-    "        amount = (ideal-variance)\n",
-    "    else:\n",
-    "        pass\n",
-    "    \n",
-    "\n",
-    "```\n",
-    "\n",
-    "If the controller wants to mint, the amount decided from the inventory controller, $\\Delta R$ is inserted into the following minting equation:\n",
-    "\n",
-    "- Conservation equation, V0: $V(R+ \\Delta R', S+\\Delta S) = \\frac{(S+\\Delta S)^\\kappa}{R+\\Delta R'} =\\frac{S^\\kappa}{R}$\n",
-    "- Derived Mint equation: $\\Delta S = mint\\big(\\Delta R ; (R,S)\\big)= S\\big(\\sqrt[\\kappa]{(1+\\frac{\\Delta R}{R})}-1\\big)$\n",
-    " \n",
-    "\n",
-    "\n",
-    "If the controller wants to burn, the amount decided from the inventory controller, $\\Delta S$ is inserted into the following minting equation:\n",
-    " - Derived Withdraw equation: $\\Delta R = withdraw\\big(\\Delta S ; (R,S)\\big)= R\\big(1-(1-\\frac{\\Delta S}{S})^\\kappa \\big)$\n",
-    " \n",
-    "\n",
-    "There is a built in process lag of 7 days before the newly minted or burned CIC is added to the respective operator accounts.\n",
-    "\n",
-    "### Velocity of Money \n",
-    "\n",
-    "Indirect measurement of velocity of money per timestep:\n",
-    "\n",
-    "$V_t = \\frac{PT}{M}$\n",
-    "\n",
-    "Where\n",
-    "\n",
-    "* $V_t$ is the velocity of money for all agent transaction in the time period examined\n",
-    "* $P$ is the price level\n",
-    "* $T$ is the aggregated real value of all agent transactions in the time period examined\n",
-    "* $M$ is the average money supply in the economy in the time period examined.\n",
-    "\n",
-    "\n",
-    "\n",
-    "## Simulation run\n",
-    "* 5 monte carlo runs with 100 timesteps. Each timestep is equal to 1 day.\n",
-    "\n",
-    "\n",
-    "## Proposed Experiments\n",
-    "![](images/experiments.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Define cadCAD Model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: cadCAD in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (0.3.1)\n",
-      "Requirement already satisfied: pandas in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from cadCAD) (1.0.3)\n",
-      "Requirement already satisfied: funcy in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from cadCAD) (1.14)\n",
-      "Requirement already satisfied: wheel in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from cadCAD) (0.33.6)\n",
-      "Requirement already satisfied: pathos in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from cadCAD) (0.2.5)\n",
-      "Requirement already satisfied: fn in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from cadCAD) (0.4.3)\n",
-      "Requirement already satisfied: tabulate in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from cadCAD) (0.8.2)\n",
-      "Requirement already satisfied: python-dateutil>=2.6.1 in /home/aclarkdata/.local/lib/python3.7/site-packages (from pandas->cadCAD) (2.8.0)\n",
-      "Requirement already satisfied: numpy>=1.13.3 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from pandas->cadCAD) (1.18.2)\n",
-      "Requirement already satisfied: pytz>=2017.2 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from pandas->cadCAD) (2018.7)\n",
-      "Requirement already satisfied: ppft>=1.6.6.1 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from pathos->cadCAD) (1.6.6.1)\n",
-      "Requirement already satisfied: pox>=0.2.7 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from pathos->cadCAD) (0.2.7)\n",
-      "Requirement already satisfied: multiprocess>=0.70.9 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from pathos->cadCAD) (0.70.9)\n",
-      "Requirement already satisfied: dill>=0.3.1 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from pathos->cadCAD) (0.3.1.1)\n",
-      "Requirement already satisfied: six>=1.5 in /home/aclarkdata/anaconda3/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas->cadCAD) (1.14.0)\n"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install cadCAD"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import libraries\n",
-    "import math\n",
-    "from decimal import Decimal\n",
-    "from datetime import timedelta\n",
-    "import numpy as np\n",
-    "from typing import Dict, List\n",
-    "\n",
-    "from cadCAD.configuration import append_configs\n",
-    "from cadCAD.configuration.utils import bound_norm_random, ep_time_step, config_sim, access_block\n",
-    "\n",
-    "\n",
-    "# The following imports NEED to be in the exact order\n",
-    "from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
-    "from cadCAD import configs\n",
-    "\n",
-    "\n",
-    "import pandas as pd\n",
-    "from tabulate import tabulate\n",
-    "import matplotlib.pyplot as plt\n",
-    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
-    "import ipywidgets as widgets\n",
-    "from IPython.display import clear_output\n",
-    "import networkx as nx\n",
-    "from collections import OrderedDict\n",
-    "pd.options.display.float_format = '{:.2f}'.format\n",
-    "\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Supporting functions\n",
-    "\n",
-    "default_kappa= 4\n",
-    "default_exit_tax = .02\n",
-    "\n",
-    "#value function for a given state (R,S)\n",
-    "def invariant(R,S,kappa=default_kappa):\n",
-    "    \n",
-    "    return (S**kappa)/R\n",
-    "\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#return Supply S as a function of reserve R\n",
-    "def reserve(S, V0, kappa=default_kappa):\n",
-    "    return (S**kappa)/V0\n",
-    "\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#return Supply S as a function of reserve R\n",
-    "def supply(R, V0, kappa=default_kappa):\n",
-    "    return (V0*R)**(1/kappa)\n",
-    "\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#return a spot price P as a function of reserve R\n",
-    "def spot_price(R, V0, kappa=default_kappa):\n",
-    "    return kappa*R**((kappa-1)/kappa)/V0**(1/kappa)\n",
-    "\n",
-    "#for a given state (R,S)\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#deposit deltaR to Mint deltaS\n",
-    "#with realized price deltaR/deltaS\n",
-    "def mint(deltaR, R,S, V0, kappa=default_kappa):\n",
-    "    deltaS = (V0*(R+deltaR))**(1/kappa)-S\n",
-    "    if deltaS ==0:\n",
-    "        realized_price = spot_price(R+deltaR, V0, kappa)\n",
-    "    else:\n",
-    "        realized_price = deltaR/deltaS\n",
-    "    deltaS = round(deltaS,2)\n",
-    "    return deltaS, realized_price\n",
-    "\n",
-    "#for a given state (R,S)\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#burn deltaS to Withdraw deltaR\n",
-    "#with realized price deltaR/deltaS\n",
-    "def withdraw(deltaS, R,S, V0, kappa=default_kappa):\n",
-    "    deltaR = R-((S-deltaS)**kappa)/V0\n",
-    "    if deltaS ==0:\n",
-    "        realized_price = spot_price(R+deltaR, V0, kappa)\n",
-    "    else:\n",
-    "        realized_price = deltaR/deltaS\n",
-    "    deltaR = round(deltaR,2)\n",
-    "    return deltaR, realized_price\n",
-    "\n",
-    "\n",
-    "\n",
-    "def iterateEdges(network,edgeToIterate):\n",
-    "    '''\n",
-    "    Description:\n",
-    "    Iterate through a network on a weighted edge and return\n",
-    "    two dictionaries: the inflow and outflow for the given agents\n",
-    "    in the format:\n",
-    "    \n",
-    "    {'Agent':amount}\n",
-    "    '''\n",
-    "    outflows = {}\n",
-    "    inflows = {}\n",
-    "    for i,j in network.edges:\n",
-    "        try:\n",
-    "            amount = network[i][j][edgeToIterate]\n",
-    "            if i in outflows:\n",
-    "                outflows[i] = outflows[i] + amount\n",
-    "            else:\n",
-    "                outflows[i] =  amount\n",
-    "            if j in inflows:\n",
-    "                inflows[j] = inflows[j] + amount\n",
-    "            else:\n",
-    "                inflows[j] = amount\n",
-    "        except:\n",
-    "            pass\n",
-    "    return outflows,inflows\n",
-    "\n",
-    "\n",
-    "def inflowAndOutflowDictionaryMerge(inflow,outflow):\n",
-    "    '''\n",
-    "    Description:\n",
-    "    Merge two dictionaries and return one dictionary with zero floor'''\n",
-    "    \n",
-    "    merged = {}\n",
-    "\n",
-    "    inflowsKeys = [k for k,v in inflow.items() if k not in outflow]\n",
-    "    for i in inflowsKeys:\n",
-    "        merged[i] = inflow[i]\n",
-    "    outflowsKeys = [k for k,v in outflow.items() if k not in inflow]\n",
-    "    for i in outflowsKeys:\n",
-    "        merged[i] = outflow[i]\n",
-    "    overlapKeys = [k for k,v in inflow.items() if k in outflow]\n",
-    "    for i in overlapKeys:\n",
-    "        amt = outflow[i] - inflow[i] \n",
-    "        if amt < 0:\n",
-    "            merged[i] = 0\n",
-    "        else:\n",
-    "            merged[i] = amt\n",
-    "            pass\n",
-    "        \n",
-    "    return merged\n",
-    "\n",
-    "        \n",
-    "def spendCalculation(agentToPay,agentToReceive,rankOrderDemand,maxSpendCurrency,maxSpendTokens,cicPercentage):\n",
-    "    '''\n",
-    "    Function to calculate if an agent can pay for demand given token and currency contraints\n",
-    "    '''\n",
-    "    if (rankOrderDemand[agentToReceive] * (1-cicPercentage)) > maxSpendCurrency[agentToPay]:\n",
-    "        verdict_currency = 'No'\n",
-    "    else:\n",
-    "        verdict_currency = 'Enough'\n",
-    "        \n",
-    "    if (rankOrderDemand[agentToReceive] * cicPercentage) > maxSpendTokens[agentToPay]:\n",
-    "        verdict_cic = 'No'\n",
-    "    else:\n",
-    "        verdict_cic = 'Enough'\n",
-    "    \n",
-    "    if verdict_currency == 'Enough'and verdict_cic == 'Enough':\n",
-    "        spend = rankOrderDemand[agentToReceive]\n",
-    "    \n",
-    "    elif maxSpendCurrency[agentToPay] > 0:\n",
-    "        spend = maxSpendCurrency[agentToPay]\n",
-    "    else:\n",
-    "        spend = 0\n",
-    "        \n",
-    "    return spend\n",
-    "\n",
-    "\n",
-    "def spendCalculationExternal(agentToPay,agentToReceive,rankOrderDemand,maxSpendCurrency):\n",
-    "    '''\n",
-    "    '''\n",
-    "    if rankOrderDemand[agentToReceive] > maxSpendCurrency[agentToPay]:\n",
-    "        verdict_currency = 'No'\n",
-    "    else:\n",
-    "        verdict_currency = 'Enough'\n",
-    "    \n",
-    "    if verdict_currency == 'Enough':\n",
-    "        spend = rankOrderDemand[agentToReceive]\n",
-    "        \n",
-    "    elif maxSpendCurrency[agentToPay] > 0:\n",
-    "        spend = maxSpendCurrency[agentToPay]\n",
-    "    else:\n",
-    "        spend = 0\n",
-    "        \n",
-    "    return spend\n",
-    "\n",
-    "\n",
-    "def DictionaryMergeAddition(inflow,outflow):\n",
-    "    '''\n",
-    "    Description:\n",
-    "    Merge two dictionaries and return one dictionary'''\n",
-    "    \n",
-    "    merged = {}\n",
-    "\n",
-    "    inflowsKeys = [k for k,v in inflow.items() if k not in outflow]\n",
-    "    for i in inflowsKeys:\n",
-    "        merged[i] = inflow[i]\n",
-    "    outflowsKeys = [k for k,v in outflow.items() if k not in inflow]\n",
-    "    for i in outflowsKeys:\n",
-    "        merged[i] = outflow[i]\n",
-    "    overlapKeys = [k for k,v in inflow.items() if k in outflow]\n",
-    "    for i in overlapKeys:\n",
-    "        merged[i] = outflow[i] + inflow[i] \n",
-    "        \n",
-    "    return merged\n",
-    "\n",
-    "def mint_burn_logic_control(ideal,actual,variance,fiat,fiat_variance,ideal_fiat):\n",
-    "    '''\n",
-    "    Inventory control function to test if the current balance is in an acceptable range. Tolerance range \n",
-    "    '''\n",
-    "    if ideal - variance <= actual <= ideal + (2*variance):\n",
-    "        decision = 'none'\n",
-    "        amount = 0\n",
-    "    else:\n",
-    "        if (ideal + variance) > actual:\n",
-    "            decision = 'mint'\n",
-    "            amount = (ideal + variance) - actual\n",
-    "        else:\n",
-    "            pass\n",
-    "        if actual > (ideal + variance):\n",
-    "            decision = 'burn'\n",
-    "            amount = actual - (ideal + variance) \n",
-    "        else:\n",
-    "            pass\n",
-    "\n",
-    "    if decision == 'mint':\n",
-    "        if fiat < (ideal_fiat - fiat_variance):\n",
-    "            if amount > fiat:\n",
-    "                decision = 'none'\n",
-    "                amount = 0\n",
-    "            else:\n",
-    "                pass\n",
-    "    if decision == 'none':\n",
-    "        if fiat < (ideal_fiat - fiat_variance):\n",
-    "            decision = 'mint'\n",
-    "            amount = (ideal_fiat-fiat_variance)\n",
-    "        else:\n",
-    "            pass\n",
-    "    \n",
-    "    amount = round(amount,2)\n",
-    "    return decision, amount\n",
-    "    \n",
-    "#NetworkX functions\n",
-    "def get_nodes_by_type(g, node_type_selection):\n",
-    "    return [node for node in g.nodes if g.nodes[node]['type']== node_type_selection]\n",
-    "\n",
-    "def get_edges_by_type(g, edge_type_selection):\n",
-    "    return [edge for edge in g.edges if g.edges[edge]['type']== edge_type_selection]\n",
-    "\n",
-    "def get_edges(g):\n",
-    "    return [edge for edge in g.edges if g.edges[edge]]\n",
-    "\n",
-    "def get_nodes(g):\n",
-    "    '''\n",
-    "    df.network.apply(lambda g: np.array([g.nodes[j]['balls'] for j in get_nodes(g)]))\n",
-    "    '''\n",
-    "    return [node for node in g.nodes if g.nodes[node]]\n",
-    "\n",
-    "def aggregate_runs(df,aggregate_dimension):\n",
-    "    '''\n",
-    "    Function to aggregate the monte carlo runs along a single dimension.\n",
-    "    Parameters:\n",
-    "    df: dataframe name\n",
-    "    aggregate_dimension: the dimension you would like to aggregate on, the standard one is timestep.\n",
-    "    Example run:\n",
-    "    mean_df,median_df,std_df,min_df = aggregate_runs(df,'timestep')\n",
-    "    '''\n",
-    "    df = df[df['substep'] == df.substep.max()]\n",
-    "    mean_df = df.groupby(aggregate_dimension).mean().reset_index()\n",
-    "    median_df = df.groupby(aggregate_dimension).median().reset_index()\n",
-    "    std_df = df.groupby(aggregate_dimension).std().reset_index()\n",
-    "    min_df = df.groupby(aggregate_dimension).min().reset_index()\n",
-    "\n",
-    "    return mean_df,median_df,std_df,min_df\n",
-    "\n",
-    "\n",
-    "def plot_median_with_quantiles(df,aggregate_dimension,x, y):\n",
-    "    '''\n",
-    "    Function to plot the median and 1st and 3rd quartiles of the monte carlo runs along a single variable.\n",
-    "    Parameters:\n",
-    "    df: dataframe name\n",
-    "    aggregate_dimension: the dimension you would like to aggregate on, the standard one is timestep.\n",
-    "    x = x axis variable for plotting\n",
-    "    y = y axis variable for plotting\n",
-    "\n",
-    "    Example run:\n",
-    "    plot_median_with_quantiles(df,'timestep','timestep','AggregatedAgentSpend')\n",
-    "    '''\n",
-    "    \n",
-    "    df = df[df['substep'] == df.substep.max()]\n",
-    "    firstQuantile = df.groupby(aggregate_dimension).quantile(0.25).reset_index()\n",
-    "    thirdQuantile = df.groupby(aggregate_dimension).quantile(0.75).reset_index()\n",
-    "    median_df = df.groupby(aggregate_dimension).median().reset_index()\n",
-    "    \n",
-    "    fig, ax = plt.subplots(1,figsize=(10,6))\n",
-    "    ax.plot(median_df[x].values, median_df[y].values, lw=2, label='Median', color='blue')\n",
-    "    ax.fill_between(firstQuantile[x].values, firstQuantile[y].values, thirdQuantile[y].values, facecolor='black', alpha=0.2)\n",
-    "    ax.set_title(y + ' Median')\n",
-    "    ax.legend(loc='upper left')\n",
-    "    ax.set_xlabel('Timestep')\n",
-    "    ax.set_ylabel('Amount')\n",
-    "    ax.grid()\n",
-    "    \n",
-    "def plot_median_with_quantiles_annotation(df,aggregate_dimension,x, y):\n",
-    "    '''\n",
-    "    Function to plot the median and 1st and 3rd quartiles of the monte carlo runs along a single variable.\n",
-    "    Parameters:\n",
-    "    df: dataframe name\n",
-    "    aggregate_dimension: the dimension you would like to aggregate on, the standard one is timestep.\n",
-    "    x = x axis variable for plotting\n",
-    "    y = y axis variable for plotting\n",
-    "\n",
-    "    Example run:\n",
-    "    plot_median_with_quantiles(df,'timestep','timestep','AggregatedAgentSpend')\n",
-    "    '''\n",
-    "    \n",
-    "    df = df[df['substep'] == df.substep.max()]\n",
-    "    firstQuantile = df.groupby(aggregate_dimension).quantile(0.25).reset_index()\n",
-    "    thirdQuantile = df.groupby(aggregate_dimension).quantile(0.75).reset_index()\n",
-    "    median_df = df.groupby(aggregate_dimension).median().reset_index()\n",
-    "    \n",
-    "    fig, ax = plt.subplots(1,figsize=(10,6))\n",
-    "    ax.axvline(x=30,linewidth=2, color='r')\n",
-    "    ax.annotate('Agents can withdraw and Red Cross Drip occurs', xy=(30,2), xytext=(35, 1),\n",
-    "            arrowprops=dict(facecolor='black', shrink=0.05))\n",
-    "    \n",
-    "    ax.axvline(x=60,linewidth=2, color='r')\n",
-    "    ax.axvline(x=90,linewidth=2, color='r')\n",
-    "    ax.plot(median_df[x].values, median_df[y].values, lw=2, label='Median', color='blue')\n",
-    "    ax.fill_between(firstQuantile[x].values, firstQuantile[y].values, thirdQuantile[y].values, facecolor='black', alpha=0.2)\n",
-    "    ax.set_title(y + ' Median')\n",
-    "    ax.legend(loc='upper left')\n",
-    "    ax.set_xlabel('Timestep')\n",
-    "    ax.set_ylabel('Amount')\n",
-    "    ax.grid()\n",
-    "\n",
-    "\n",
-    "def first_five_plot(df,aggregate_dimension,x,y,run_count):\n",
-    "    '''\n",
-    "    A function that generates timeseries plot of at most the first five Monte Carlo runs.\n",
-    "    Parameters:\n",
-    "    df: dataframe name\n",
-    "    aggregate_dimension: the dimension you would like to aggregate on, the standard one is timestep.\n",
-    "    x = x axis variable for plotting\n",
-    "    y = y axis variable for plotting\n",
-    "    run_count = the number of monte carlo simulations\n",
-    "    Note: Run aggregate_runs before using this function\n",
-    "    Example run:\n",
-    "    first_five_plot(df,'timestep','timestep','revenue',run_count=100)\n",
-    "    '''\n",
-    "    mean_df,median_df,std_df,min_df = aggregate_runs(df,aggregate_dimension)\n",
-    "    plt.figure(figsize=(10,6))\n",
-    "    if run_count < 5:\n",
-    "        runs = run_count\n",
-    "    else:\n",
-    "        runs = 5\n",
-    "    for r in range(1,runs+1):\n",
-    "        legend_name = 'Run ' + str(r)\n",
-    "        plt.plot(df[df.run==r].timestep, df[df.run==r][y], label = legend_name )\n",
-    "    plt.plot(mean_df[x], mean_df[y], label = 'Mean', color = 'black')\n",
-    "    plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
-    "    plt.xlabel(x)\n",
-    "    plt.ylabel(y)\n",
-    "    title_text = 'Performance of ' + y + ' over the First ' + str(runs) + ' Monte Carlo Runs'\n",
-    "    plt.title(title_text)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Initilization \n",
-    "\n",
-    "# Assumptions:\n",
-    "# Amount received in shilling when withdraw occurs\n",
-    "leverage = 1 \n",
-    "\n",
-    "# process time\n",
-    "process_lag = 7 # timesteps\n",
-    "\n",
-    "# red cross drip amount\n",
-    "drip = 4000\n",
-    "\n",
-    "# system initialization\n",
-    "agents = ['a','b','c','d','e','f','g','h','i','j','k','l','m','o','p']\n",
-    "\n",
-    "# system actors\n",
-    "system = ['external','cic']\n",
-    "\n",
-    "# chamas\n",
-    "chama = ['chama_1','chama_2','chama_3','chama_4']\n",
-    "\n",
-    "# traders\n",
-    "traders = ['ta','tb','tc'] #only trading on the cic. Link to external and cic not to other agents\n",
-    "\n",
-    "allAgents = agents + system\n",
-    "\n",
-    "mixingAgents = ['a','b','c','d','e','f','g','h','i','j','k','l','m','o','p','external']\n",
-    "\n",
-    "UtilityTypesOrdered ={'Food/Water':1,\n",
-    "                    'Fuel/Energy':2,\n",
-    "                    'Health':3,\n",
-    "                    'Education':4,\n",
-    "                    'Savings Group':5,\n",
-    "                    'Shop':6}\n",
-    "\n",
-    "utilityTypesProbability = {'Food/Water':0.6,\n",
-    "                    'Fuel/Energy':0.10,\n",
-    "                    'Health':0.03,\n",
-    "                    'Education':0.015,\n",
-    "                    'Savings Group':0.065,\n",
-    "                    'Shop':0.19}\n",
-    "\n",
-    "\n",
-    "R0 =  500 #thousand xDAI\n",
-    "kappa = 4 #leverage\n",
-    "P0 = 1/100 #initial price\n",
-    "S0 = kappa*R0/P0\n",
-    "V0 = invariant(R0,S0,kappa)\n",
-    "P = spot_price(R0, V0, kappa)\n",
-    "\n",
-    "# Price level\n",
-    "priceLevel = 100\n",
-    "\n",
-    "fractionOfDemandInCIC = 0.5\n",
-    "fractionOfActualSpendInCIC = 0.5\n",
-    "\n",
-    "def create_network():\n",
-    "    # Create network graph\n",
-    "    network = nx.DiGraph()\n",
-    "\n",
-    "    # Add nodes for n participants plus the external economy and the cic network\n",
-    "    for i in agents:\n",
-    "        network.add_node(i,type='Agent',tokens=400, native_currency = int(np.random.uniform(low=20, high=500, size=1)[0]))\n",
-    "        \n",
-    "        \n",
-    "    network.add_node('external',type='Contract',native_currency = 100000000,tokens = 0,delta_native_currency = 0, pos=(1,50))\n",
-    "    network.add_node('cic',type='Contract',tokens= S0, native_currency = R0,pos=(50,1))\n",
-    "\n",
-    "    for i in chama:\n",
-    "        network.add_node(i,type='Chama')\n",
-    "        \n",
-    "    for i in traders:\n",
-    "        network.add_node(i,type='Trader',tokens=20, native_currency = 20, \n",
-    "                        price_belief = 1, trust_level = 1)\n",
-    "        \n",
-    "    # Create bi-directional edges between all participants\n",
-    "    for i in allAgents:\n",
-    "        for j in allAgents:\n",
-    "            if i!=j:\n",
-    "                network.add_edge(i,j)\n",
-    "\n",
-    "    # Create bi-directional edges between each trader and the external economy and the cic environment            \n",
-    "    for i in traders:\n",
-    "        for j in system:\n",
-    "            if i!=j:\n",
-    "                network.add_edge(i,j)\n",
-    "                \n",
-    "    # Create bi-directional edges between some agent and a chama node representing membershio      \n",
-    "    for i in chama:\n",
-    "        for j in agents:\n",
-    "            if np.random.choice(['Member','Non_Member'],1,p=[.50,.50])[0] == 'Member':\n",
-    "                network.add_edge(i,j)\n",
-    "\n",
-    "    # Type colors \n",
-    "    colors = ['Red','Blue','Green','Orange']\n",
-    "    color_map = []\n",
-    "    for i in network.nodes:\n",
-    "        if network.nodes[i]['type'] == 'Agent':\n",
-    "            color_map.append('Red')\n",
-    "        elif network.nodes[i]['type'] == 'Cloud':\n",
-    "            color_map.append('Blue')\n",
-    "        elif network.nodes[i]['type'] == 'Contract':\n",
-    "            color_map.append('Green')\n",
-    "        elif network.nodes[i]['type'] == 'Trader':\n",
-    "            color_map.append('Yellow')\n",
-    "        elif network.nodes[i]['type'] == 'Chama':\n",
-    "            color_map.append('Orange')\n",
-    "            \n",
-    "    pos = nx.spring_layout(network,pos=nx.get_node_attributes(network,'pos'),fixed=nx.get_node_attributes(network,'pos'),seed=10)\n",
-    "    nx.draw(network,node_color = color_map,pos=pos,with_labels=True,alpha=0.7)\n",
-    "    plt.savefig('images/graph.png')\n",
-    "    plt.show()\n",
-    "    return network"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:563: MatplotlibDeprecationWarning: \n",
-      "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
-      "  if not cb.iterable(width):\n",
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:660: MatplotlibDeprecationWarning: \n",
-      "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
-      "  if cb.iterable(node_size):  # many node sizes\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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69AjFxcWwsbFBamoquFwuFi1aBAcHBzg5OSEtLQ12dnYAysNUXV0dK1euRLt27bBs2TKEhITAzs4OCxYsgLm5+T967m+WV4uMjERMTAwaNmyIli1bwtzcHEKhEElJSYiJiUFsbCzq1atXIQjZskwMw/yX/WeD7/Hjx1ixYgW2bNlS6SMAQUFBWLZsGfLz8yGTyfDkyRNs27YNS5cuRVFREZSUlHD16lW0b98ec+bMgb+/PwDAyMgIt2/fxt69e/HTTz9BJpPJR4Lh4eFo2LAhgoKCYG5uDl9fX1y+fBlt2rSBt7e3/DGLf9qb5dUiIiIQGxuLJk2awNraGtbW1lBTU8PTp08RHR2NmJgYiMXiChNm2LJMDMP8l/xngw8AlixZgjZt2qB///6Vvr906VLs3LkT2dnZICIkJCTg4sWLmDx5MvLz88HhcBAQEICpU6fi0aNH6Nq1K3JycsDj8bB48WJ4eXnByckJp0+fhpaWFpYsWQJ/f3/Ex8fDyMgIu3fvhrGxMVauXIljx47BxMQEc+bMQZ8+ff7hT6Kit8urvT7eli1bomXLltDS0kJ8fDxiYmIQExOD9PR0ebk1tiwTwzBfu/908D19+hSLFy9GUFBQlcsPTZ06FdeuXUNKSgo4HI78C3/48OHIzMyETCaDi4sL9uzZA5lMBjc3N+zevRsA0KxZM9y4cQPFxcVwdHREfHw82rRpAy8vL8yePRtpaWmwtLTEH3/8gUaNGuHXX3/FwYMH0bBhQ0yfPh3Dhg37ImZcvlleLTIyEklJSWjevLk8CPX09CoEYUJCAvT09CpcHmXLMjEM87X4TwcfAKxYsQItWrTAkCFDKn1fJpPB2dkZz549Q1xcHHg8Hp4+fYq0tDQMHDgQSUlJEIlEsLCwwP3796GgoICbN2+iX79+KCgoAI/Hw5IlSzB//nzs378fU6ZMQXFxMcaOHQs7Ozv88MMPePXqFTp27IgjR45AXV0dgYGB2LlzJxQUFDBx4kRMmDDhiwjA10pKShATEyMPwpSUFJiZmcmD0NDQEImJifIgfPToEVRUVCoEIVuWiWGYL9V/PviSk5Mxb948BAUFQVlZudI2YrEY/fr1A1Be+1MgECAxMRGlpaUYMGAAHj58iKKiItSrVw/379+HsbExJBIJBg4ciDNnzgAATExMcOPGDWhra2PixInYuXMnlJSUsGHDBqSlpWHp0qXykeGuXbugqqqK7du3Y/PmzSguLoabmxumT5/+RT5qUFl5NUtLS1hbW6NVq1YwMjLCixcv5PcIY2JiUFxcXCEI2bJMDMN8Kf7zwQcA/v7+0NPTg7Ozc5VtCgsL0bt3b+jr6+PChQtQVFREUlISOBwOXFxc8NdffyE/Px98Ph8HDhzA4MGDAQDHjx/HiBEjUFZWBj6fjyVLlmDevHnIycmBg4MDHjx4gGbNmuHUqVPYvHkzNm/eDJlMhpEjR8oftzh69CgCAgKQnp6O4cOHY+7cuahXr94/9fF8sDfLq0VERCA/Px9WVlbyINTX10dOTg4ePXqEmJgYREdHIzU1Fc2bN2fLMjEM86+rE8GXmpqKOXPmICgoqNqV1tPT02Fvb48uXbpg3759UFZWxvPnz8Hn8zFz5kzs27cPeXl5kMlk+OGHH+Dn5wcAKC4uhr29PW7dugUAMDMzw9WrV6GtrY0rV65g5MiRyMrKgqOjI/bv34/Jkyfj0KFD4PP5mDZtGnx9fcHlcnHx4kWsWrUKcXFx6N+/P7y9vaGrq/uPfEafIicnRz4afF1e7fVl0ZYtW0JHRwclJSV4/PixfEQYFxeHxo0bs2WZGIb5x9WJ4AOAdevWQVNTE6NHj6623ePHj9G/f38MHz4cAQEBUFNTQ1JSEoRCIfz9/eHn54f8/HyUlZXhm2++QXBwsPz+XFBQEDw9PSEWiyEQCLB06VL8+OOPAICff/4Zfn5+4HA4+PnnnzFhwgS4uLjg0qVLUFFRwaJFizBr1iwAwL1797BixQqEhoaiZ8+emD9/PkxMTGr3A/qMKiuv9mYQamtrQyKR4OnTp/IgjImJgVAoZMsyMQxT6+pM8GVmZmLmzJnYtGnTeyuVhISEwNnZGdOmTcOiRYtQr149JCUlgc/n49ChQ5g1axYKCwtRWFgIXV1dREREyGc1ZmVloXv37oiOjgaHw4G5uTn++usvaGtrQyQSYcCAAQgODkajRo1w+PBhGBgYwMnJCffu3UP9+vUREBAgvyT7+PFjLFu2DFeuXEH79u0xf/58tG3bttY/q8+pqvJqbwbhm4W33wzCvLw8tiwTwzCfXZ0JPgDYvHkzhEIhxo8f/962p06dgqenJxYtWoRp06ZBS0sLCQkJ4PP5uHnzJkaPHo2ioiJkZWVBSUkJ58+fR5cuXeT9fX198dNPP0EqlUIoFGLp0qWYO3cugPKSagMHDsSzZ8/QoUMHnD17FsnJyXB2dkZsbCx0dXWxbds29O7dGwCQkpKC5cuX4/Tp0zA3N4eXlxe6d+9eK59RbauuvNrrB+pf/2KSm5tbIQifP3/OlmViGObTUR2SnZ1Nzs7OlJ2dXaP227dvp6ZNm9KRI0dIWVmZjIyMSCwWExFRfHw8tWzZkpo0aUJ8Pp/4fD6tWbOmQv+kpCQyNDQkAMThcMjS0pIyMjLk7wcFBZGamhopKCjQzJkziYjor7/+IiMjI+Lz+WRubk5hYWHy9q9evSJvb29q1qwZdevWjY4ePUpSqfRTP5Z/lUwmo4SEBPrzzz9p8eLFNGLECPL09KSgoCC6c+cOFRYWytuWlJRQREQE7d+/n3x8fGjYsGHk4eFB69evp8uXL1N6ejrJZLJ/8WwYhvka1KkRHwBs27YNYrEYkydPrlH7FStWYPv27QgICMDQoUOho6ODx48fg8/nIycnB0OGDEFiYiIyMzMhEokwbNgw+Xp9QPlzgjNnzsSGDRtARBAKhfD19cUPP/wAAJBIJBg/fjwOHDgAdXV1bN26FYMHD8Yff/yBadOmITs7G23btsUff/whL3pdXFyMdevWYefOnVBVVYWHhwfc3Ny+qGcBP1Z15dVatWoFCwsLedUYqVQqrzn6+gdgyzIxDFO9Ohd8eXl58PDwwNq1a6GtrV2jPrNmzcLly5exdu1aODo6Ql9fH7GxseByuRCJRHB1dcW9e/eQk5ODoqIimJub4969exXKej148AD9+vVDZmYmOBwOLC0tERwcLD+G1NRUODo6IioqChYWFjh37hx0dXURGBiIRYsWoaioCD169MDevXvlsx8lEgmCgoIQFBQEqVSKcePGYerUqVVWqfkava+82uui20D5ZdSMjIwKQciWZWIY5m11LvgAYPfu3cjNzcW0adNq1F4mk2HUqFFISkqCn58f7O3tYWRkhOjoaHC5XMhkMsyZMweHDx+GSCRCVlYWNDQ0cOfOnQqzMWUyGVxdXXHw4EEAgIKCApYtWyafzQmU31scN24c8vLyMGTIEOzZswdcLhc+Pj4IDAyEWCzG4MGDsW3bNvkD+TKZDPv378eGDRuQlZUFFxcXzJkzp9pHN75W7yuvZmpqWuFB+fz8fPnzhGxZJoZhgDoafIWFhZg4cSL8/f2ho6NToz4SiQTfffcdgPIlj3r16gUTExNERETIL6UFBATA398ffD4fKSkp4HK52LlzJ0aMGFFhW5cuXYKTk5O8ELaVlRUuXrxYYQQ6Z84crF+/HgKBAH5+fvDw8IBIJMLUqVPlYeju7o7Vq1dX+KI/e/Ys/P398fTpUwwaNAje3t41Htl+jd5XXq158+bg8Xjy9iKRCHFxcfIgZMsyMUzdUyeDDwAOHDiA1NRUzJ49u8Z9CgsL0adPHxgZGWHKlCno3bs3TE1NERYWJg+/o0ePYvbs2VBXV0d8fDxEIhFmzJghX9botdfl0C5evAgulwuhUIjly5dj5syZ8jZFRUVwdHTEzZs3oa+vj2PHjqFVq1bIz8/H2LFjcebMGSgoKGDu3LlYsGBBhXtZt2/fxooVKxAREQF7e3ssWLAARkZGn/ahfQXeV17N2Ni4QqjJZDL5Ir1sWSaGqRvqbPAVFxdj4sSJWL58OfT19WvcLzMzE/b29ujZsycGDRqEPn36wNraGqGhofI2ISEhGD16NNTV1fH48WOUlJSgS5cuCA4OfucLdP/+/ZgwYQJKSkoAANbW1rhw4UKFUdq9e/cwdOhQpKamonv37jh16hQUFRWRmpoKFxcX3Lp1C+rq6li2bBkmTpxYYfvR0dHw9fXFzZs30blzZ8yfPx/W1tYf85F9lfLy8vDw4UP5PcLKyqu9Pbp7+fJlhfuEbFkmhvlvqbPBBwBHjhzBkydP4O3t/UH9EhIS4OjoiHHjxqF9+/ZwdHRE69atERISIm+TmJiIoUOHgsPhIDExEfn5+dDR0cG9e/fQuHHjCtvLzc1F3759cffuXXC5XCgoKGDFihWYPn16hXZr166Fj48PZDIZZs+ejaVLlwIAnjx5guHDhyMqKgra2trYuHEjBg4cWKHvs2fPsHz5cpw7dw7W1tbw8vJC165dP+i8/wveLK8WGRmJ0tLSd8qrvR2EhYWFiI2NZcsyMcx/RJ0OvtLSUkycOBE///wzmjZt+kF9Q0NDMWLECPj4+EBXVxf9+/dHu3bt5PU6gfJAGzJkCLKzs5GVlYWsrCwIBAKcOXMG3bp1e2ebAQEB8Pb2hlgsBlBe5uvChQsValhKJBKMGDECJ06cQP369bFnzx7Y29sDAG7evAk3NzckJSXByMgIv//+e4WH6oHyEevrhXENDQ0xe/Zs+b3LuigzM7NCEALvlld7m1gsrrA+IVuWiWG+LnU6+ADg5MmTCA8Px8KFCz+47/nz5zFp0iSsX78eRIShQ4eiU6dOuHr1qryNSCTC2LFjER4eDg6Hg2fPnkEsFsPX11deyeVNKSkpsLe3x+PHj8Hj8SAQCLBy5cp3ZqA+ffoU3377LZ48eYJWrVrh7Nmz8i/pP//8E56ensjMzISVlRX27dsHc3PzCv0LCwuxevVq7N27F/Xr18fUqVPh4uJSp595oxqWV6usX0pKSrXLMjVr1gwCgeBfOCuGYd5W54NPJBJh0qRJ8Pb2hqmp6Qf337NnDxYuXCifLDNixAjY2dkhODhY3kYmk8HLywtHjx5Fo0aNEBMTg8LCQgwaNAiHDh16J2xkMhkWLlyIVatWQSaTgYjQqlUrnD9//p0VDA4ePAgPDw8UFRVh1KhR2Lp1a4Wi2fPnz0d+fj46deqEvXv3okmTJu+c/6ZNm7Bt2zZwuVx8//33mDx5MpvMgb/Lq0VERMjvE2poaFRaXu1t2dnZbFkmhvlC1fngA4Bz587h5s2b+OWXXz6q/+rVq7F582acPHkSkZGRcHV1RY8ePXD+/PkK7davXw9/f3+YmZnh7t27yM/PR/PmzXHv3r1Kn7l79OgRHBwckJycDB6PB6FQCD8/P0ydOvWdtlOmTMG2bdugpKSEwMBA+SoUMpkMS5cuhb+/P0pLS9GvXz/8/vvv76z3J5PJsHv3bmzYsAEFBQVwdXXF7Nmzq1y8ty6SyWRISkqSB2F0dDS0tbXlo0ErK6sqw6y4uLjKZZle/zRs2PAfPiOGqZtY8KH8vpmHhwdmzJgBKyurj9rGjz/+iLNnz+LixYv466+/MGbMGPTp0wenT5+u0O748eOYNWsWWrZsidu3byM3Nxeqqqq4evVqpfuWyWSYNGkSdu7cCQ6HA6lUitatW+PcuXPvjP5yc3Ph4OCA0NBQGBsb49SpU/JRrEgkwuzZs7Fjxw7IZDK4uLggMDCw0mA7fvw41qxZg+TkZDg5OcHLy4tN3qhEVeXVXgfhm+XV3lbZskwCgaDC+oRsWSaGqR0s+P7v8uXLuHDhApYvX/5RXzYymQzjxo1DbGwsgoODcfjwYUyYMAHffvstjh07VqFtaGgoRo0aBRMTE4SHh+PVq1eQSqXYunUrRo0aVen2b9++jUGDBiErK0t+7+/XX3/FlClT3ml7/fp1jBgxAi9fvkTfvn1x7Ngx+aXL/Px8TJgwAcePHwefz8fUqVPh6+tb6aXNq1evws/PD9HR0ejXrx/mzZsnrxfKvOtDyqu9japYlsnMzKxCuTW2LBPDfDoWfBZlOSIAACAASURBVP8nk8kwZcoUTJ48Ga1bt/7obQwYMAClpaU4c+YMdu7ciSlTpmDgwIE4fPhwhbbPnj3DkCFDoKmpiYyMDLx48UJeUWb9+vWVbr+0tBSurq44ceIE+Hw+JBIJWrdujbNnz1a6evnSpUuxbNkycDgc+Pj4YN68efL30tPTMXr0aFy7dg3Kysrw8fHBrFmzKp3cEh4ejmXLliEkJAR2dnZYsGDBO5NlmHdVVV7t9T3Ct8urva2yZZmMjY0rXB5lyzIxzIdjwfeG69ev49ixY1i1atVHX2IqLS2Fvb09GjdujIMHD2LLli2YPn06hg4digMHDlRom5ubCycnJxQUFEBZWRnR0dF49eoVbG1tERwcXGUx5VOnTmH06NEoKCiQj/5WrVpV6YoTYrEYAwcOlJdEO3ToUIVHHB4/foxRo0YhIiICmpqa8Pf3r3LUmZCQAF9fX1y+fBlt2rSBt7c3OnTo8FGfU11UVXm110H4dnm1t5WWlsrLrUVHR+Px48fQ0tKqEISNGjVil0cZ5j1Y8L2BiDB9+nSMHj0atra2H72dnJwc9OrVC506dcLGjRsRGBiI2bNnw9nZGbt3767QViKRwM3NDeHh4bCwsMC1a9eQk5ODhg0bIiQk5J1ZmK/l5+dj4MCBuHHjBoRCIUQiEdq0aYMzZ85UOvp79OgR+vfvj6SkJNja2uLcuXNQV1eXvx8SEgI3NzckJCRAV1cXW7ZsQd++fSvdd3p6OpYvX44TJ07AxMQEc+bMQZ8+fT7686qr3i6v9vLlS1hYWMgvjb5dXu1t71uWycLCAkZGRtWGae0pBfAXgCsAcgBwAWgB6AugMwA2a5j5F9XaSn9fqTt37tC0adM+eUHTpKQkMjMzo8WLFxMR0apVq4jP55Obm9s7baVSqXyB2cmTJ5OOjg6pqKiQiooKnTt3rtr9/Pbbb6SqqkpCoZAUFBRIRUWFNm3aVGX77du3k7q6OgmFQpo2bdo77588eZL09fVJIBCQubk53b17t8pt5eXlkY+PD5mYmFDnzp3pwIEDX/3CuP+m3Nxcun79Om3cuJEmTZpEI0eOJF9fXzp58iQ9e/bsvX8nZTIZpaWlUXBwMAUGBpKHhwcNGzaMfHx8aP/+/RQREUElJSW1fBZZRBRARF2JqB0RdSKibkRkR0Qdiag9EfUmoh1EVFj5JhimlrHge4tMJqNZs2bR9evXP3lbYWFh1LRpU9q8eTMREa1YsYJ4PB59//33lbbfuHEjGRoa0qxZs8jAwIAaNGhAQqGQli5dWu1+0tLSqE2bNsTn80lVVZX4fD7Z2trSy5cvK20vFotp7NixJBAIqH79+nT48OF32vz222/UsGFDEggE1KFDB4qNja1y/yUlJeTn50eWlpbUtm1b2rx5MwvAzyA7O5v++usvCggIIHd3d3J1daWVK1fS2bNn6cWLFzX65SwvL4/u3LlD27dvpzlz5tDQoUNp1qxZtHXrVrp58ya9evXqMx5xAhE5EFFbIupDRN9V8dPr/22ciajyv6MMU5tY8FXi/v375OHh8Vm+vIODg8nIyIiOHj1KRESLFy8mHo9HU6ZMqbT9yZMnydjYmKZOnUrm5uakq6tLfD6fBgwY8N7jWb58OSkpKZGioiIpKCiQqqoqbdmypcr2GRkZ1Lp1a+LxeGRhYUHPnz+v8L5UKiVfX1/S0NAgoVBIffv2pRcvXlS5PalUSlu3biUbGxsyNzenlStX/gMjjLojIyODLl68SP7+/jR27FgaO3Ys+fv706VLlygjI6NG2ygrK6OHDx/SwYMH6aeffqIRI0bQxIkTae3atXThwgVKSUn5yKsdKUTUk4g605shl5FhT999p00SybdUMfy+JSJbIhpCRHkfsT+G+XjsHl8liAheXl7o168fevTo8cnbO3jwILy9vbF792507doVixYtwrJly+Dp6Ym1a9e+0/7BgwdwdXWFra0tEhMT8ezZM6SlpaFZs2a4ffv2Ow+fvykhIQEODg5ISkqCqqoqCgsLYWNjg1OnTlV67w8oX8Nv7NixePXqFQYPHox9+/ZVmG1YWlqKefPmYevWrZBKpRg8eDA2btxY5XHIZDIcPXoUAQEBSE9Px/DhwzF37txqj5v5MFRJeTUlJSVYW1tXW17tbVUty/TmfcKmTZu+p5IPAXAFkAhAC+7uEZg2zQitW2sgM7MM7u4ROHasPXi8yu5XpgPoDWD5x3wMDPNx/t3c/XJFRkbShAkTSCwWf5btrVu3jpo1a0ZRUVFEROTt7U08Ho9++OGHSts/e/aMbGxsyNHRkZydncnAwICUlJRIU1OTHjx4UO2+pFIpzZw5U37PT1FRkVRVVWnr1q3V9vPy8pK3DQwMfOf9vLw8cnFxIUVFRVJWVqYpU6a8d0R34cIF6tOnDxkZGdG0adOqHTEyH08mk9GzZ8/oxIkT5OvrS87OzjRp0iTauHEjXb9+nXJzc2u8rczMTLpy5Qpt3LiRPD09ycnJiebPn0979uyhBw8eUFFR0Vs9Iqj83l35qG78eH0KC7Oj6kd8r3/6/b9vzUasDPM5sBFfNXx8fNCtW7fPNmNx/vz5OH78OC5cuAA9PT3MnTsXa9aswdy5c7F8+bu/8RYWFmLo0KEoKChA165dsW/fPpSUlKC4uBgbNmzA+PHjq91faGgoBg8ejIyMDKirqyM/Px/t2rXDiRMnqhz9FRcX49tvv8X169ehp6eHY8eOoU2bNhXapKenw93dHcHBwVBQUMCsWbOwcOHCamcP3rt3DytWrMD9+/fRo0cPLFiwAM2bN6/Bp8Z8jE8pr/a2t5dlio+Ph56enrzCjI3NESgp3QKgjdWrn+LKlWwIBBxwuRw4O+vi99+TMXWqEfbvTwURYfDgxhg8WOeNPaQDmATg+1r4JBimEv9y8H7RHj16RG5ubiQSiT7bNt3d3cnGxkY+qWD69OnE4/Fo4cKFlbYXi8U0ZswYsrS0pF9//ZUMDAzI0NCQBAIBTZgw4b33/crKymjUqFGkoKBA9erVIyUlpRqN/u7fv08GBgbE4/GoR48elfyWTxQXF0edO3cmoVBIWlpatGHDhvceT2xsLI0ZM4YMDAxo6NChdP/+/WrbM5+HRCKh2NhYOnToEPn4+JCTkxPNnDmTtm/fTqGhoR90L1YkElFMTAwdPnyYVqxYQHFxDSgiQo/i4y0oI8OWxozRoQcPKo74/PzMqaSkHyUm9iQXF135iPDvyS69aufEGaYSLPjeY/HixXTy5MnPtj2pVEoDBw6k7t27y79sPDw8iMfj0ZIlS6rs5+PjQ02bNqXAwEAyMzMjU1NTEggE1L59+0pD6W2XLl0iLS0tUlBQkM/W7Ny5c5UzP19bt26d/HKpt7d3pW3u3r1LVlZWJBAISE9Pjw4ePPje40lOTiYPDw8yNDQkBwcH+uuvv97bh/l8RCIRRUVF0b59+8jb25ucnJxozpw5tGvXLgoPD6eysrIabimRZLIOVFzcizIybCk+3oIGDVKhffsa0uPHLSgysiU5ONSn58970uug2769FQUEWFLFiS5tiaim+2SYT8OC7z3i4+NpzJgxVFpa+tm2WVJSQt988w0NGjRIPkKaMGEC8Xg8Wr58eZX9tmzZQoaGhrRmzRrq2LEjmZubk4KCAuno6FBCQsJ791tQUECOjo4kFAqpYcOGpKSkRGpqavTbb79V208sFtOwYcOIz+dTw4YNq3y28MyZM2RsbEwCgYCaN29Oly9ffu8xvXr1Sv4MY7du3ejo0aPsUYh/QVlZGYWHh9OuXbtozpw55OTkRN7e3rR//36Kioqq5l53LJU/n/f3fbvx4/Xp7t2OlJ3dmUJDzalrVyGFhzeVv3/qVHv66ScTqnivrz0R5df+iTIMseCrkWXLlskfR/hcXr16RTY2NjRhwgT5a25ubsTn82nVqlVV9jtz5gw1bdqUfHx8aMiQIWRiYkIaGhqkoqJCJ06cqNG+9+7dSxoaGqSoqEg6OjokEAioS5cu7x39PXv2jCwsLIjH41GbNm2qnEL/+++/U6NGjUgoFFLr1q1rdDmzqKiIli1bRmZmZtSuXTvatm0bC8B/UXFxMYWGhtK2bdto5syZ5OTkRD4+PvTHH39QbGwsSSSS/7d8TkQd6O3ge3Nyy7ffNqRz5xpTbm43IvqOduyoasT3eSaSMcz7sOCrgaSkJHJ1daXi4uLPut3k5GQyNzcnHx8f+Wuurq7E5/MpICCgyn5hYWFkbm5O48ePp7lz55KhoSE1adKEhEIhLVq0qEb7zsjIoE6dOpFQKCRdXV356G/79u3v7Xv48GHS1NQkgUBAY8eOrTSgpFIp/frrr6SpqUlCoZC6detG8fHx7922WCymDRs2UKtWrcjKyor8/f0/4LIbU1sKCgrozp07tGXLFvL09KQRI0bQ4sWL6fjxg1Rc3I5ksr8fWP/hh6Z09qwtvXmPb8kSI7p7twk9fdqDXF315PcAy3++IaLB/97JMXUOC74a+vXXX2t07+pDRUVFUbNmzWjDhg3y14YPH058Pr/Ca29LSUmh9u3bk6OjI23YsIEMDAzI2tqaBAIB9evXr8aPYaxdu5ZUVVVJRUWF9PT0SCAQUNeuXd87+iMi8vT0JAUFBVJXV68yMEtKSmju3LmkqqpKioqKNHDgQEpLS3vvtqVSKe3Zs4c6depEJiYm9PPPP1NBQUGNzompfa/Lq23YsIEOHuxE8fH1KS7OlNLT29OVK+3Iza0JjRihS0eP2tB332nT2bO2NHiwBg0eXI8OH7ahipc52xHR572iwjDVYcFXQykpKeTi4lIrX77Xr18nIyMj+uOPP+SvDRkyhPh8frWzLwsKCsjBwYE6dOhAhw8fJhMTE7K1tSWhUEjNmzevcTWPp0+fkpWVFQmFQjIyMiIlJaVqw+xNubm51KlTJ+LxeNSsWbMqS5vl5eWRm5sbKSsrk7KyMrm5uVFeXs0qdpw5c4Z69epFxsbGNGvWrBqfF/NPeUYiURt6+bIjPX1qSeHh+vTggR49eWJOGRm2VFLSm2Sy70gsdqAHD5pQfv439Hfo9aXyep61UbdTQkThRHSZiM4T0Q1izwsyRCz4PkhAQADt3r27VrZ9+PBhMjIyqjC7ccCAAcTn82nHjh1V9pNKpeTm5kbm5uZ0+vRpsrGxofbt25OKigppampWW2T67e3Mnz+flJWVSUNDg/T19UkoFJKdnV2NRn/Xrl2Tl1dzdHSs8vJkWloaDRw4kBQVFUlNTY1mz55d46n0N27coAEDBpChoSF9//33lJSUVKN+zD/hRyofuZU/qF5aak+ZmR0pPt6CwsKaUFhYE4qPt6CnTy3pwYMmJJU60t/39tZ/5mPJJqLdVB6qtlR+D/L1f9sT0WwiCiWiTytEz3y9WPB9gIyMDBo5cmSNRyofauPGjdS0aVOKiIiQv9avXz/i8/m0Z8+eavv+9NNP1LRpUzp27Bg5OjqSlZUVNWrUiBQVFatdreFtYWFhZGxsTEKhkMzMzOSjv+rC902+vr7yUV2Vj2cUp1Jy6E7yHm1JA9rxqU9bNfp1xdIaT2aJioqikSNHkoGBATk7O9PDhw9reHZM7SkkIhd6M/xe/8hk31FJSW/KyLClJ0/M6coVdbp1S5PS05vQ8+fDKTv7c47Cgql8BNmOymuHVlYppsP/359IrE5o3cQqt3ygTZs2QVFREePGjauV7S9evBgHDhzA+fPnYWBgAADo06cPrly5gj179mD48OFV9t2+fTt++eUXLFiwABERETh79iwUFBTw5MkTuLi4YPv27ZWusP42iUSCqVOnYteuXVBRUYGKigrS09PRsWNHHDlypMqqL2/2HzRoEM6fPw8tLS0cOnQIdl27ANmhQNJeIOs2wOECJENhURESE5PwKr8EZ6JVYd3PByPHz6nRcT579gzLly/HuXPnYG1tDS8vL3Tt2vW9/ZjaUgBgLoBQAAoANAG8XZ9TConkJZKS4vHqVRcEB9siIuIR6tWrJ68qY21tXWGtyJo7AWDx//er9J62BCATgCGAbQA+Zn/M14oF3wfKzs6Gp6cnNmzYUKMiwB/Dw8MDd+/eRXBwsLywc8+ePXHjxg0cOHAAQ4YMqbLvxYsXMXnyZIwaNQoNGzbEr7/+CmNjY9y+fRtWVla4evUqVFVVa3QcV65cgYuLC3JycmBmZoa4uDgIhUIEBARg7Nix7+3/+PFj9O/fH5mpCdg+TQsDuuiCL1AEhPXLg+8NLzNTkZoUhbIyMX4PaYC+32/FwEGDanScmZmZWLlyJY4dOwZDQ0PMnj0b3333XY36Mp+bBMBNALsARKI8YF7/cFEehHZ48MAU27ZFYO3aAPB4vM9QXu0+gMkoDz2FDzjeDACtAWzBuyHN/Fex4PsIv/32G2QyGSZOnFgr25fJZBg+fDgyMzNx4cIFKCoqAgC6deuGO3fu4MiRI+jfv3+V/aOiojBixAjY2tpi+PDh8PT0RIsWLXD16lVoaGjgypUrMDU1rdGxFBcXY8yYMTh9+jTq168PBQUFvHjxAp07d8Yff/zx3tEfxAVIPNAbOcn3kZ4rhYGBIaytrKtsnvriGbJexGL9eRluppti06ZN6NatW42OtbCwEP7+/ti3bx/q16+PqVOnwsXFpUajR6Y2JAIIA5CH8tCrB6ADgMYgIvj6+sLY2Biurq4VekmlUsTHx8tXnYiNjYW+vr585QlLS0v5v4m/uQGIR3nwocIKEdV7PfLbBMDm006X+Wqw4PsIeXl58PDwQEBAABo2bFgr+xCJRHB0dISSkhKOHz8u//Lu3LkzQkNDcfz4cfTr16/K/qmpqRg6dCg0NDSwfPlyuLm5oX79+oiMjERZWRl27tyJoUOH1vh4jhw5gokTJ6K4uBgtW7ZEVFQUBAJB9aM/IiDUE8i+C1JshIiISLx4kQIej4+WLa2hq6NbeTeZCJnJMZi0OQ/nwkRo3bo1goKC0LJlyxodq0gkwqZNm7Bt2zZwuVx8//33mDx58nuW1mH+aTk5OZg+fTqWLFmCpk2bVtlOLBYjLi5OHoTx8fEwNjaGtbU1WrVqBTMzPoTCsQAa4fWorebBBwAvAXQB4P8Zzor5GrDg+0i7du1Cfn4+PD09a20f+fn56N27NywtLbFjxw756x06dEB4eDjOnDmDXr16Vdm/uLgYw4YNw8uXL7Fjxw7MmDEDubm5yMvLQ3JyMmbOnIkVK1bU+HiOHj2KWbNmITMzEzo65dX1qx395UYBd8YBCo0ATvkXkkgkwp2QO8jPz4eKiio6dLCFspLyuzsTF0DKV8XCi9bYsGEjRCIR7OzssHnz5mq/JN8kk8mwe/dubNiwAQUFBXB1dcXs2bOhrFzJ/ph/RXBwME6cOAF/f/8a/2JSVlaG2NhYeRC2anUO33yTDS5XB+rqaggKysTVqzkVVogwN1fFjh3JSE4uhZISF6NGNUGvXq//vkoBZAE4BUC7ls6U+ZKw4PtIBQUFmDRpEvz9/eUhUBtSU1PRp08ffPvtt1i5ciWA8i/0du3aITo6GufOnat2sVyZTIZJkybhxo0b2L17NzZu3IibN2+icePGuHPnDr755hucOHGikktH7woODsb58+fRvHlz/PjjjxCLxWjfvj3u3r0LBQUFrFu3DqNHj/67Q4QPkHYRUHz3yyTz5UuEh4dBJBKjceNGaNvWBlzOG/dYiICyDMA2CPn8ZpgzZw727dsHmUyG/v37IzAwENraFbebl5eHoKAgREVFobS0FIaGhnB3d4epqSmOHz+ONWvWIDk5GU5OTvDy8qq1e7RMzRERfv75Z1haWlY7cas6UukgFBWlIjdXhIKCfJSUlGLFiiJMnKiHzp0bo6iIB0/PaEybZoTOnTVRUiLDy5dlaNr0zfuGL1E+4uvyOU6L+cKxmx8fSU1NDQMGDMCBAwdqdT+6uro4cuQIjh49itWrVwMAuFwuQkNDYWZmBgcHB9y4caPK/lwuF1u3boWrqyuGDx+OYcOGwd3dHc+fP8egQYNw7do1WFlZ4cWLFzU+pokTJyIyMhLm5uYICQmBkZERNDU1MWHCBPTs2RNZWVmA6BWQfrF8IksltBs2RB/7PmjevBkyMjJx7tw5PE18+ncDDgfg8IBn+6Guro6goCDEx8fD0dERJ0+eRNOmTTF58mTk5+fLu5SUlMDExARr1qzB/v370bNnTyxevBilpaUYOHAgrly5gm3btiEqKgpt27bFlClT8Pz58xqfN/P5cTgceHp64vjx40hOTv6obfB4xVBXrwcDA31YWlqidetWUFRUhEQiRmJiIrZvv4fGjUvQrVsD8PlcqKnx3wo9oPxeX9Ennw/zdWDB9wkGDBiA+/fvf/Q/2JoyNTXFrl27EBgYiL179wIoD7SwsDCYmJigd+/euHPnTrXb8PHxwc8//4wpU6agXr16WL16Ne7duwcnJydkZmbCysoK165dk7fPysrCsmXL4OrqChcXF2zevFn+3vbt2/Hjjz+iZcuWcHd3R3JyMrKysmBpaYlr165BV1cXffv0xrnQfIBbfvnq4dN8uK0Ix5GraRjlG4Yxy8JwJ+YVCtEYx2P0sOYcD1uOxuBS8CXk5uUhLrkQc7alw3n2bowZMwabN2+GlpYWDh8+jIiICHTs2BE7d+6EgYEBfHx8UFpaisaNG2PQoEGoX78+uFwuHBwcIJFIkJKSIj/27t274/Tp0zh27BiysrJgZ2eHUaNG4dGjR5/zj4z5AA0bNsSoUaMQEBAAmUz2EVsQojy4yvH5fCgoKEBXVwfW1lZQVdWFpiZQWFhdsHEACD5i38zXiAXfJ1BWVsagQYOwb9++Wt9Xp06dsG7dOvj4+ODixYsAysMvMjISxsbG6NGjB+7evVvtNsaMGYNt27bBz88PoaGhOHr0KMLCwtCzZ0+oqKigb9++WLNmDWQyGRYvXgxtbW1s27YNv//+u3xmZVxcHPT09LBv3z44OTmhoKAAt2/fhp6eHqKiomBpaQk9PT28ehEJ/0PxeJSUK9//qwIxxFIZfvduBdfeepi/4Ra2HLqNRa46+G2+HR5la+FVIXDjxnWER4RhXD897P3RCKtWrUJERAROnz4NADAxMcGlS5dw/fp1mJiYYNWqVWjSpAn8/f0rfHE+ffoUEomk0kvRrVu3xqFDh3D58mUIhUL069cPgwcPRkhIyCf/WTEfzsHBAUKhECdOnPiI3o0AlFb5buPGShCLVfHiRUqVbcqDU/Mj9s18jVjwfaLvvvsO0dHRSExMrPV99e/fHz4+Ppg8eTIePHgAoDz8oqOjoa+vj2+++QaRkZHVbqNnz544fvw4jh8/Dn9/f1y8eBHZ2dkwMjKClZUVvL29MWDAAGRnZ2PcuHFQVFSEUCiEhYUFAEBbWxt9+/YFl8tFr169kJOTAz09PURHR2Py5MmIj49HXl4euna2RVMtCQ6euo2U/3/h8HkcDO+uCz6Pi26tGqBMyoeNkRQRYfeQEHMH9VWkaGRU/tyWGr8QKXG3kZScCm1tbTg4OCAqKqrCubRr1w737t3DyZMnoaWlhQULFkBfXx+7du1CYWEhVq9ejZEjR1b7DFizZs2wfft23LlzBwYGBnB2dkafPn3kv1ww/wwOh4Np06bh0KFDSE1N/cDeQwGUVXhFU1OA9PTy17p3b4AnTyS4dSsPubn5KCiQ4OnTN0d/xQA0AFh9whkwXxMWfJ9IUVERTk5O8kuQtc3d3R3u7u4YOXKkPGy5XC5iY2Ohq6uLjh07vhMQb7O0tMTly5eRkJCAsWPH4s8//4S+vj6KioowYMAAnD9/HpcuXUJBQcE7fV8/UA8ACgrlDwqXlpaCy+VizJgxGDBgAMrKyrDt8B0kZPJQJuEiIiISEZGRUFHkgsstn8Ai5HOhpKSEhprKUFfXAJEMxYV5CLkXhuzsHOgYWeFkhBLGrX4OBQUF+Pn5Vbif9yZ7e3vExsZix44d4PF4mDBhAvT19SEWizFs2LAafa6NGzdGQEAAIiIi0KFDB0ydOhVdu3bFwYMHP/LyG/OhdHR0MGLECAQGBuLD5tz1QPlD6yL5K8OG6eDgwVQ4Oz/AjRs5WLzYFHfv8uDsfB/Tp0chMbHkjf75AEYDYI+71BUs+D4DBwcHJCQk4MmTJ//I/ubPn4++ffti8ODB5RNJUB5+jx8/RqNGjdChQwfExsZWuw1tbW1cunQJSkpKcHBwwMqVK+Hk5IQHDx5g+PDhyMnJgamp6XtHkK+JxWIsW7YMnp6eyMjIwIAhI6GtLoOAJ4W2dkPk5+chLS0NKW9MohEKhZBKpahfXxM6OjpQUFCEiooyCgoK8OveaDRSk8B1WD/o6+vj9u3b2LFjB9LT06s8hpEjR+LJkyfo3r07xGIxdu7ciTZt2lQ7+edt6urq+OWXXxAZGYmBAwfil19+Qfv27bFlyxYWgP+A/v37QyqV4syZMx/QSwmAE8ofSSgPzA4dNLFjR2scONAWgwfrwNJSDRs3toWfXwOsXdv0jUcZSlB+b+/bz3kazBeOBd9nIBQKMWLECOzZs+cf2+fatWthZmaGgQMHori4GED5Tf3Hjx+jQYMGsLGxQVxcXLXbUFZWxrFjx9CuXTv07dsXAwYMwJIlS3Dz5k1YWFiguLgYnTp1wu7du987+UMikUAsFkNDQwMqKiqYOXMW0mSmEPCAly9fQkNDE1wuFxEREbh95w5EIhF4PC74fB4aNGiA0tIyqKupgc8XQE9PFxyeApQU+dgXnA51dXVoaWkhNzcX+vr6GDNmDCQSSaXHsHLlStjZ2SEjIwNz585FUlIS7O3t0a1bt/eOhN+kqKiIuXPnIjIyEh4eHti6dSusrKzg5+eH0tKq7ycxn4bL5WL69OnYu3cvMjMzP6DnBABmKK/CUvlokcPhQE+vCVJSUlA+oCwDkAtgCQD2aEtdwoLvM+nduzdSUlIQHR39j+yP3jJxNQAAIABJREFUy+Viz549UFVVxdChQ+WjEaFQiLi4/7F33uFRVdvDfqfPZDKTXklIIIUWSiCAEBCpBgSBC9JBVJBLBxWFDxS4CCpFiiIINhCQqIjSpDej9BJIICEJhBRCQnomyWTa/v4YyDWCGhQFfzfv88wTnlPW3ufMcNZZa69yBRcXF5o3b/67a49SqZTVq1czYsQIBgwYgJOTE9HR0ZSVlVG3bl3kcjkjR45kwoQJv2nxaDQaxowZw9tvv83gwYM5cuQI3XsPxS8giFpezhQVFSAQeHl5UlCQz8HDhzAajWi1WoqLiwkMDKS0rAx/f39Mpgpe6OzAyRu1uJaRi9VqpU6dOnh7e+Pt7c3GjRvR6/UsX768yhwSEhI4deoU586dY+TIkSQkJNChQwd69+7N+fPnadWqFU8//TTXr1+/r/s8atQoTp48yX/+8x+2b99O48aNmTlzJoWFhb8voIb7xs/Pj3/961/36fJ0AN4DQoAsfu72/Dmurq7YbFZKStKAAmAW0OUBzLqGfxI1CewPkAMHDrB//34WLFiARPL3FLw1GAx07dqVoKAg1q9fX1nazGg0UrduXUpKSoiPj6/s9PBbbNy4kVmzZjFt2jR69uzJM888g06nQ6lUcuDAAdq2bcvOnTvvr/JJ3mk4NY4buQYuxCdjs9nw8vKksLAQo7ECjUaNg4OWx1q35lpqKlarhbq+jiRlWVl9LoIJU17j1KlTbNu2jZCQEIQQ/PTTT5w/f568vDxcXFxYvnw5gwYNQqH49XD0mzdvMnXqVLZv3w5A3759WbJkyV1J8NVh3759LF68mCtXrtCrVy+mT5+Or++9y6/V8MewWq288sor9OjRg65du97HmWXAGmALdotOBaixv+NbgBIMhhLi4wWtWn2ORNLygc+9hkefGovvAfLEE09QUFBAbGzs3zamo6Mj3333HRcuXOCVV16p3K5Wq0lOTkar1RIWFlYll+3XGDp0KJ9++ilLly5l5cqVHDhwAJ1OR1ZWFmPGjOH48eM0atTo/iJY3SIgfDG+Hk50bBuGk15HdnY2EokUb29vysvLyc29RUZmBgF+XiiseWSX6Qkdspcnn/oXs2fPpk6dOqxatQo/Pz+Sk5N55plneOutt+jSpQtGo5Fnn32W2rVr895775GYmHhPK8Hb25svvviCc+fO0a5dO7Zs2UJISAiTJ0/GYDBU/3qwB9Ps2bOHL7/8koyMDNq0acNzzz1HSkrKfcmp4deRyWRMnjyZzz77jLy8vPs40wGYAuwFZmO3AO/k+TkDfdFqv+PLL58iJqbGZf0/y9/b/u//PkeOHBEvv/yysNn+3u7OycnJIiQkRLzzzjtVtpeWlgoPDw+h1+tFdnb1Gn4mJCSIxo0biyFDhoiKigrx0ksviaCgIDFv3jyh1+uFk5OT2L179/1NsPCyEKcmCtv3LcWNT/3E0dkycXCWVMQt9xI/vIE4OU8iYpc4i7T9r4nnhg8Q6enplXMZOXKk+Pzzz4XVahWHDx8WTZo0EbVr1xZt2rQR7dq1E25ubgIQMplMhIeHixdffFFs3rz5N6/31KlT4rHHHhMajUa4uLiIOXPm/GrX+OrcrxEjRojatWuLfv36iTNnzvwhOTXczaZNm8TcuXMf+P+nc+fOiTFjxgiLxfJA5dbwz6BG8T1gbDabGD9+vDh58uTfPvbJkydFnTp1xGeffVZle0lJiXB3dxfOzs7VVn7Z2dkiMjJSdOrUSRQUFIg1a9aIgIAAMXv2bOHv7y80Go14++2373+SpZlCJH4gCr9/WhycoxNbX5KKNaPlYvy/QoSzTi3c3NzEtGnTxMSJEysVUUFBgZg+fbqYPXu2KC4uFkIIkZKSImbPni1GjRolDh8+LM6fPy8aNGggAKHVasXo0aPFkCFDxPTp08XevXtFaWnpPaezd+9e0bBhQ6HRaISXl5d47733qt0J/pekp6eLsWPHioCAABEVFSUOHTr0h+TU8F/MZrOYMGHCA7+XNptNTJ8+Xezfv/+Byq3hn0GN4vsLOHbsmJg0adLfbvUJIcSuXbtEQECA2LVrV5XtRUVFwtXVVbi4uIi8vLxqySovLxd9+vQRzZs3F6mpqeLQoUMiODhYjB07VrRu3VqoVCrRr18/YTab/9BcrVareO2114RCoRAKhUJMnDhR1K5dW6hUKhESEiKWLFlSeazFYhEfffSReOGFF0RKSkrl9tjYWDF16lQxadIkce7cOXHs2DHh7e0tJBKJ8PHxEcuXLxfz5s0TAwcOFAsXLhSnT5++51v+pk2bRGBgoNBoNCIgIKDSwvwj3FHUQUFB4vHHHxfffPPNH5ZVgxBJSUli6NChoqCg4IHKjYuLE88///wf/v3W8M+lRvH9BdhsNjFlyhTx448/PpTxP/vsM1GnTh1x4sSJKtvz8vKEi4uLcHV1FUVFRdWSZbVaxYQJE0RoaKg4efKkSE5OFs2bNxdPPfWUeO6554RKpRJhYWHVtiTvxYIFC4RKpRIODg4iMjJSDBkyRKjVaqFSqcTcuXOrHHv06FExZMgQcfDgwcptNptNxMTEiDFjxoiZM2eKK1euiI8//lhotVohlUpFgwYNxIYNG8TXX38tXnrpJTFixAjx8ccfi2vXrt11re+9957w8vISGo1GNGjQ4K4XiPuhtLRULFiwQNSvX19ERESITz75pEYB/kE+++wz8dZbbz1wuW+88caf+o5r+GdSo/j+Ik6fPi3Gjh370B50CxcuFCEhIeLKlStVtt+6dUs4OzsLd3f3aiu/O/ICAwPF1q1bRVFRkYiKihItW7YUb7/9ttBqtcLT0/MPu3dzc3NFrVq1xIgRI4Sjo6Nwc3MTM2bMEN7e3kImk4lOnTqJW7duVR6fmpoqXnzxRbF69eoqb+tms1l8//33YsSIEeKdd94RGRkZ4oUXXhAKhUKo1WrRpk0b8cEHH4gTJ06I9evXi5EjR4pJkyaJb7/9VuTn51fKKS8vF7Nnzxaurq5Co9GIli1bip9++un+LspiEeLiRSFiYoT54EHx5WuviTZhYaJx48ZiyZIlf3g98X+ViooK8e9//1vExMQ8ULlXrlwRzz77bM338T9GjeL7i7DZbGLatGkPdZ3npZdeEo0bN77LGsvOzhZOTk7C09NTlJSUVFve5s2bRWBgoFixYoWwWq1i7NixIiQkRHz44YfCw8NDODo6io8//vgPzbVZs2Zi27ZtYteuXaJWrVpCq9WKbt26icjISCGXy4Wbm5vYsGFD5fEGg0HMmzdPTJs27S7XbXl5uYiOjhaDBw8WH3zwgUhKShItWrQQUqlU+Pj4iD59+ohZs2aJ48ePi3PnzomlS5eKgQMHijlz5oijR49WPgSLiorExIkThV6vFw4ODqJz584iLi5OvP/+++KTTz6594Xk5Qnx+edCPPmkEK1aCdG6tf3z2GPC1rq1ONe/vxjYrJkICQ4Wc+bMua/7/7/O5cuXxfDhw+/rha06vPnmm+Lbb799oDJreLSpUXx/IbGxsWL06NEPLXLMarWKoUOHiscee+yuB2xGRobQ6/XCy8vrVwM/7sUPP/wggoODxUsvvSSsVqtYunSpCAwMFMuWLRMNGjQQarVa/Pvf/75vS3fw4MHilVdeEULY18j69u0rtFqt8PLyEu3btxdubm5Co9GIqKioSuvPZrOJzZs3ixEjRoi4uLi7ZBYVFYm1a9eKwYMHiw0bNojt27cLLy8vIZPJRGRkpJg8ebIYNWqU2Lp1q8jNzRUHDx4Us2bNEoMGDRIrVqwQcXFxwmaziaysLDF06FDh6Ogo1Gq1cHZ2Fo0bNxaxsbFVB9yxQ4jHHhMiIkKITp2E6Nmz6ufJJ4Vo2VKIiAiRNHCgiOrYUdStW1dMnTr1T7mK/5dYu3atWLx48QOVee3aNTFs2DBRXl7+QOXW8OhSk8D+FzNz5kyeeOKJ+0zCfXDYbDZ69uyJ1Wpl586dyOX/LcSblpZGo0aN0Ol0JCcnVzsxPSkpif79+1O/fn0+//xz9u/fz8SJE+nXrx+XL19m3759REREsGvXLvR6fbVkLl++nO3bt7N///7KbZs2bWLq1KmUlpbi5uZGkyZNOHjwIA4ODixbtoyhQ4cCcObMGZYuXcrAgQPp2bPnXcUDcnJy2LhxI2fOnGHAgAGcOHGCd999F5lMxoQJE3B3d+f06dO0b9+eXr16odVqOXz4MAcOHMBkMtGxY0c6deqEwWAgIiKC4uJiJBIJvr6+/PDDD9SpUwc2b4ZFi8DVFX6vm73NBtnZ0KIFPw0ezDtLlxIbG0vXrl2ZNWsWAQEB1bpn/4tUVFQwceJERo0aRatWrR6Y3EWLFhEQEPCHu8DX8M+iRvH9xVy+fJnFixezevXq36ws8ldSVlZGt27d8PPzY9OmTZXVXQCuXbtGkyZNcHJyIjk5GfXvPbRvk5ubS79+/ZBKpWzdupXMzEwGDx5M/fr1CQ0N5d1338XDw4O9e/dSr16935UXHx/P008/TWJiYhXlfOPGDUaMGMGPP/6ITCbj1VdfZe3ateTl5fHEE0+wfv163N3duXnzJgsWLCAgIIAJEyZUdo74Oampqaxfv57r168zYMAAFi9ezOHDh/H29ubjjz8mNzeX3bt34+/vT69evWjZsiWpqakcPHiQI0eOIJVKiY6ORiKRYLVasVgsqFQq3u3blzEJCcg8PUGpvGvccRcvMjYggMY/fwkQAm7ehO7dYd484uPjmT9/Pj/++CNt27Zl5syZhIX9gTY5FRUQEwOJiVBQAFot+PlBx47g5nb/8h5BLl68yJIlS1i5cuVvtpy6HzIzM3n11VdZs2bNA5NZw6NLjeL7G5gzZw6tWrWiR48eD20Oubm5dOnShccff5wVK1ZU2ZecnEyzZs1wdXXlypUr1VZ+RqORoUOHcvXqVbZs2YKzszP9+/enoqKCUaNGMXXqVADWr1/P008//ZuybDYb9erV48svvyQ8PPyu/StWrGDGjBlYLBaGDx9OeXk53377LVqtlqVLlzJ06FAqKipYuXIlqamp/L//9//w9va+51hxcXF89tlnmEwm2rZty4wZM0hPT6dt27Zs27aN2NhYtm/fTkFBAU899RRdu3ZFo9Ewc+ZMPvzwQ6xWKxKJBJ1Oh1QiYU1uLk5C4FG3LkF161Z5sfidi4acHIiOhrp1Abh+/ToLFixgz549NG7cmOnTpxMZGQnAhQsXKCoqon379nfLysmBLVvslmd5uV22XG7/a7OBTAadO8OQIfBHFOojxqpVqzCbzUyaNOmByVyxYgWurq4MGzbsgcms4dGkRvH9DSQnJzNv3jzWrl2L8h4Wwd/FtWvX6N69O8OGDWPWrFlV9iUmJtK8eXM8PDxITk6uYnX9FjabjalTp/L999/z+eef06JFiypFnV9++WVyc3OZNm0ac+bM+U1ZUVFRdO3alZdffvme++Pj4+nUqRPFxcUEBAQwbtw4Fi5cSH5+Ph07dmTdunW4ubmxc+dONm/ezJQpU4iIiLinLCEEx44dY/369bi6uqJSqViyZAkmk4kJEyawePFikpKS2L59OydPnqRdu3bs3buX69evo1KpKCwspLS0lBXPP0/UN99wKTeXgqIiZFIpQUFBBAQEVK9ea3Y2PPMMTJtWZXNOTg7vvPMO3377LQEBAUydOpUNGzaQkpLCxo0bq1rRsbEweTKUloKLC9zD2sVqhbw8uxKcNAmGDYO/qZ7sX0F5eTnjx49n0qRJNGvW7IHIzMnJYcqUKaxatQonJ6cHIrOGR5SHtrr4P8b8+fPF1q1bH/Y0xNmzZ0XdunXF2rVr79oXFxcnNBqNqFu37n0HpyxZskQEBgaKr7/+Wghhj5QLDAwUn376qWjTpo1Qq9WiV69evxlAMH36dPHMM8/85jjXr18XYWFhQqfTCScnJzF16lQxePBg4eDgIDw8PMSmTZuEEEJcunRJjBgxQnzxxRe/WUjAYrGI3bt3i2effVa8+eabok+fPkKhUAg3Nzexbds2IYQ92OaLL74Q3bt3F8OHDxfR0dEiNzfXLnf6dCFatxa2nj1Fbps24ic3N7FHqRSHHB1FRvPmQvTsKZ739xfn2re/O9ilZ08hunUTom1bIQyGe86vpKREzJkzR/j7+wutVitCQkJEVFTUf5O5Y2PtATWPP14p83fHCw8X4g9G3z5KnDlzRjz//POirKzsgclctWrVH45MruGfg2zO772G1/BA8Pf3Z+XKlfTo0aPa1tRfgY+PDw0bNuTVV1+lbt26VSwHT09PnnrqKZYtW8b69euZMGFCtbtMtGnTBj8/P6ZNm4YQgldffRU/Pz9mzpzJgAEDqF27Nt999x3R0dH07t37nkEvVquVTZs2MXbs2F8d18nJiZCQEIqKiigvL+fw4cPYbDZmzpxJTEwMX375JceOHWPo0KF0796dr776iuPHjxMREXFPa1sqlRIcHEz37t3Jy8sjJSWF/v37c/XqVT744AO+/vprBgwYQNu2bRk4cCAeHh4cPnyY7777DovFQuiWLUgdHZHIZDg4OFDLzw+dXk9BQQGZmZlk3bjBcSGIdHfH+14uZJnMbqm1bw/36BShVCrp0KEDFy5cIDs7m1u3bnH16lWOHj3K0B49kI0aBVIp/Ox+bsvOprWz86+Pp9HAkSPQuDH4+//Gt/po4+PjQ2pqKnFxcb9q2d8vdevW5f3336djx45oNJoHIrOGR48axfc34ezsTEpKCtnZ2TRq1OihziUoKAgvLy+mTZtGy5Ytq7Qs8vb2pkePHixbtoyNGzcybty4aiu/hg0b0rp1a2bOnMnVq1eZMmUK7du3Z968eXh7ezNy5Ei2bNnCJ598Qps2be5qleTp6cny5csZOHAgOp3uV8epW7cu169f57HHHsPPz48jR45w6NAhxo0bh4uLC3v37uWjjz4iJCSESZMmkZSUxKeffkrjxo1xdna+p0y5XE7Dhg3p1q0b6enplJWV0bFjR2JiYli4cCFxcXHodDqaNGlCnz59aNSoEadPn8bz668pslpRqtUoFQokEgmOWi1+fn5o1GquX7/OwbIynHNycBYCiUSCTQikUul/1wLLyuzrb35+3Lx5k23btjF79mzMZjNNmjQhNTWV5cuX4+7ujr+/PyqViqtXr6LetYsGubkofXyqfEe/qfjArvwsFkhLg969q/XdPqqEhYWxZs0agoOD/1CLqV+i0WgoKioiNjaWli1rWhb9n+Vhm5z/S2RkZIghQ4YIw6+4tf5uli5dKoKDg8WlS5fu2nf8+HGhUqlEw4YN79vtmZycLJo2bSr69+8vjEajyMrKEm3bthUdO3YUO3bsqEx2X7ly5V3ntm7dukqi+q9hMBjECy+8IH788Uexd+9eERgYKHQ6nWjbtq1Yu3at8PHxEVqtVvTs2VPcunVLHDx4UAwZMkQcOXKkWteQk5Mjli1bJoYOHSp69eolFAqFkEqlIiAgQAwaNEisW7dOxMfHC3OrVuJG06binJ+fuBQUJPLathXWHj1EfmSk+NHVVWwD0QXEchA7pVJxQKsVZ3x9xSkfH3Hax0dcCAwU6X5+YkG/fiIsLEz4+fkJPz8/4e7uLt58800hhBD79+8X9evXF//617/++11ZLKI4MlKkBAaKs35+4kZEhLB0717p6vyyeXMxNiBADPT1FUsbNhQVPXpUdXk+9ZQ93/BndU//qRw/flyMHj1aGI3GByKvqKhIDB48uCa38v8wNcEtfzN33tzv5KA9bKZPn86OHTvYu3fvXc1UY2Ji6NKlC6GhoZw/f7760YpAYWEhffr0QQjB1q1bcXBwYMSIESQkJLBs2TImTJhAamoqgwYN4qOPPqqUPWrUKJRKJR988MHvjpGYmMi8efNYunQpGo2G0aNHs2vXLpRKJTNmzODYsWPs2rULR0dHli1bRuvWrVmwYAGPPfYYI0eOrJbL+cqVK6xatYqLFy9y9OhRzGYzUqkUpVJJUFAQF+vWRWIwYHNwoLCggPSMDAoKCkAIyo1GbFYrK4CeQIhMhlQmw2az4eHhQWhICFKpFNvNm4x2dGTLuXOVXe5tNhs6nY7atWtjtVrJzs5Go9Egl8t56qmnmN2jB55z5yLx9qa0rIysrCyKi4rw9PLi9ZwcHORy5tarh0oqZd6VKzTW6xnu51f14m7ehMGD4aWXqv29PqosXrwYFxcXXnjhhQcib+PGjeTm5jJ58uQHIq+GR4uaRrR/M4MGDWLnzp0UFxc/7KkA8Pbbb9OyZUt69+5915zatWvHnj17SExMpEWLFpUP5erg7OzM3r178fLyolOnTmRmZrJ582Z69uzJ6NGjmT9/Pp06deKLL74gMjKS/Px8ANq2bcuFCxeqNUa9evXo06cPixYtQqPR8MUXX7B27VoUCgVz586lpKSE999/H5lMxujRo5k8eTKzZs0iIyOD119/ncLCwkpZpaWlJCQksG/fPj755BPmzp3LqFGjmDFjRqXL0cXFBb1ej0QiwWg04unpifnpp6GkBLPJRG5uLlaLBZ1Oh9lsRthsSGUy5AoFarUapUqFRCJBr9NRkJ/PTz/9RMblyyiDgogaOxYfHx80Gg1SqRS5XM7gwYMZO3Yscrkcs9mM0WikoKCA9evXs3zaNFKSkrhw4QLp6enIpFJc3dwoLCggLy+PFjYbOiHQyeUM8PXl6L2auWo09ny//wO8+OKLHDlyhMQHdD19+vTh5MmTZGZmPhB5NTxa1Fh8D4EPPvgABwcHRo4c+bCnAtitiz59+mAwGNi9e7c9CMRmhfwzUJ7JhfMnmbdgMQ5uwXz67QWk8uon4ttsNqZNm8b27dv55JNPaNeuHevWrWPOnDlMnjyZW7dusWzZMtzc3Ni+fTuOjo507dqV2NjY31znu4MQgjfeeIP69etXWtE5OTmMHDmSH3/8Ea1Wy9y5c9m9eze7d+9Gq9UydepU8vPziYmJoWnTppSXl1NWVoa/vz9+fn74+/tTu3Zt/Pz88Pb2RiaTATB16lT27NlDYGAg5eXlnDhxAlebjYMaDaUaDRVmM+VGIw4aDQaDAYVSSUVFBUstFvrI5QTLZDg6OlJeVoZKpcJRp8OSkcEilQpZ37706dOHZcuWkZ6eTkFBAcuXLyc9PZ13332XoqIiNBoNQUFBDBkyhMlubihXrqTC3Z2KigpMFRUYKyooKixk+o0bdDabCQF8fX3xaNCAqfHxbPllAIjBAL6+sHFjtb/PR5mYmBg2bdrEsmXLHkja0Jdffsn169eZ9otUkxr++dQEtzwE6tSpw/vvv0+nTp0eicgxiURC3759WbduHT/s/47eza1IYqdD+ha49QNe0iS6hWsJdrhC+rEV1KpVC4m2Nsh+f+4SiYQnn3wSm83Ga6+9hq+vL0OHDiUiIoJZs2bh4+PDlClT2LJlC59++inh4eH89NNPhIeH20uBVUN+s2bNWLlyJSEhIXh6euLg4EC3bt2wWq389NNPbN++HZPJREBAAGlpaRw8eJDCwkJ69erFpUuX6N+/P3PmzCEqKoo2bdrQqFEj/Pz80Ov1Vdy7arWa5ORkJBIJOTk55OXlUVBRgbfRSHB5OXkmE0IISg0GXF1dkctkKBUKTisUtHBwQGezYSgpwdnFBWGzYczPp3ZAAO+7uPD9gQN8/fXXFBcXU1JSgpOTE02bNqWsrIwrV65gNBqRyWTk5ORw9OhRjPHxhN66xa2yMvLy8sjJyeFmVhYlJSXEmM14Ar7YS3zlKhRcs1p5+pcJ/UYj+PhAr16Vm4qLi7l161a1S809Svj7+3Px4kXS09Np2rTpn5YXFBTERx99RPPmzX81KKqGfyY1iu8h4ODgQEFBAZcuXaJFixYPezqAPaqxf+dggm7Nx3zjAM7OHqB0AbkjKPSoHd2RqZzIyrhKRdpePIw/gEsz0Ny7OsoveeyxxwgICGDatGlYLBYGDRpE7969Wb58OYmJiaxZs4bt27cTHR2NVqvF0dGRjh07/qZMi8XCjRs3uHr1KmVlZbz11lucP3+edevWceTIEVxcXOjQoQPp6elkZGRgsVhYsWIFZrOZs2fPcuHCBUaPHs3JkyfZtm0b3bp1+811P3d3d9auXUtKSgppaWlIJBKioqJI0esJu3EDJ6uVEqsVuUxGWVkZQgisKhX7jUY6KZXIzWYUCgVFhYWI8nIcTCZG5uVxyWjE0dERk8lEWVkZZrOZdu3a0adPH5o1a8aOHTvIysrCbDYDoFAocBKC1gUF3CwpocJopMJkspdRs1o5IQQ5QAu9HrPFwuaSEppqtbT28qJKfG5hIQVhYSw9cYJvvvmG5cuX8/7773P8+HEGDhxYre/1UUIikRAWFsZ7771H06ZNcXV1/VPy5HI5MpmM/fv38/jjjz+gWdbwKFDj6nxIFBYWMm7cOFasWIG7u/vDno7drXlqPEYzHDsdh6+vL/VC766xmXUzi7Nnz1LLU0ezxg2g5Upwrb7yPnHiBMOHDycqKoply5ZRVlbG4MGDuXHjBh9++CETJ07k9OnTODs7c/36dRwcHDCZTGRkZJCRkUF6ejppaWmkp6eTnZ2Nm5tbpXsyPj4es9nM/PnzcXR0rBzTZrOxYMECli5ditVq5ZlnnqFdu3a89tprlJaWEhQUREZGBu3atWPNmjWVYfFCCAwGA4bERMTWrRTv3ElGQgJlJhOFCgV71GpilEoy8vNp7OLCvLw8vIFbgEQm45ZCwQagk7MznYRAo1ajkMsxZGaCycQyV1e2GAwYjcbKuUokEuRyORKJBBcXF55++mn27dtHampqlfsY3rgxu4QgKysLq0KB2WymsLAQuVzOYpOJCImEOKmUEqC+VMpgvR6VVErzFi2Qy2T2WqHZ2ZycMoU+06ZRWlpqt1Llcnr27Mm7775b7TSWR41Dhw7xzTffsHTp0j+dM2symXjxxReZOXMmISEhD2iGNTw+dCBQAAAgAElEQVRsahTfQ2TdunUYDAbGjx//cCdSdgN+HATIQOFIcUkxp06dJiioLoEBgXcdfiPrBufOnaOWpxPNmoZBZDQ4+N513K9x7do1+vXrR0BAAF988QVKpZKXX36Zbdu28frrr7Nq1SpOnjyJm5sbnTt3xmKx4O3tjb+/f5VPrVq1qqzlWCwWpk2bRufOnenZs+dd4547d47hw4dz/fp13NzcGD9+PBs2bODixYuVtTd9fX1p0qSJ3aq6cYNeaWkE5eVRWlpKkc2GztnZrmAsFrQyGeVWK/udnFhlNmMqK2NlSAjBKSlgs2EAfAICCA4JIf7CBUI9PUm9do14IVhksXDSZMLDw4OSkpIqyi8sNJTynByKCgspASp+dg1yuRx/f3/Ky8v5t4MDT1+/To5UikQiwc3dncKCAhwdHZErFPa/cjlXEhORSqVYrFa0Dg74+PriKpEgDw5G/dVXpKWlMWbMGPLy8jAYDISFheHk5ER4eDjh4eGVdVz/KQgh+M9//kO9evUYNGjQn5b3/fffc/z4cebOnfsAZlfDo0CN4nuIlJSUMGbMGN59991fLaj8Rzhw4AB79uxh4cKF1TshYRmkbgT1f+eQm5dHbOx5GjZsiI+3z12nZGRmEht7nmA/HfW6zYP61SsWLISguLiYuLg4xo0bR1lZGb169SIvL4+LFy+SnJxM586dK1sCOTg4sGnTJqKiorDZbFXW3Gw2GyUlJRQVFVV+UlNTWbVqFVFRUSiVyir7DAYDKpWKS5cukZSUhEQiwcnJCavVSkFBATabDX9/f8LCwhjfuDGd9u61W5gGA94+PoTWq4dCLicrK4vYCxewWCwoATcgRQhmu7rSpEsXitPSaHj9Om2ys3Gx2dCp1UidnEjz8+PNxESa9u/Phg0bsFgsgL16jLDZaAkMAdoCUrkcZycn1AoFR4uK+LC8nB8Bye0OH/7+/ohbt1hfUoJFIkHv40NBYSG1/f3JzskhODiY/Px8srOzMZtM2IRA6+CAs7MzwmzGRyZjS2QkB26/VHh7e7Njxw4MBkNl2sa5c+cqXcLu7u6Eh4fTvHlzGjZs+FBrzlaHO6kIdzp2/BksFgv//ve/mTp16kMvPlHDg6FG8T1kNm3aVFkc90FxX4rPUg6HuoHUAWRVH2Y3srK4fPkSzZo1w8317pY2aenpJFyKpZaXC40m3gDZfyuFCCHIzc0lLS2tiosyIyMDIQTXrl3DbDaTlpaG2Wxm0aJFPPfcc2zfvp0pU6ZgNBp5/PHH2bt3LyaTiW7dupGamlppjRQVFVFaWoqDgwNOTk5VPpmZmZw9e5aXX34ZDw+Pyu06na7S9XX48GGef/55MjIyUCqV+Pr6cvPmTUpLS+ni7MxCg4FCqxWtpycNGzbE4XYQkk0Izp87R15eHhUVFQhAArgDxTodg8vLCY2I4MyZMwB06NCBw4cPVyq5OyhuuycBwoF5gJdEgkKjIaOsDCdnZ3Q6HTKpFHVFBYXZ2RQLwXzg4M/ktJHLWS2Xk1dRgZOvLxq1moKCAiJatiQjPR2DwUBBQQGlpaVoNBpahodTmprKHm9vGq1aRZOmTbl27RqJiYmcPXuWmJgY3N3dqVevHvXr16d+/frUrVuXrCy7i/vcuXNcu3aNhg0bVlqEtWvX/nvdouYSKM8CaxlI1aD2ANXdv889e/awZ88eFi1aVBmZ+0c5cOAA+/bt46233vrHuoBr+C81iu8hU1paypgxY3jnnXeoVavWA5F5X4ov83u4OBvUXvfcnXo9latXrxIR0RL9PdILrqddJ+f6Rb5MbESr3rNJT0+vDCZRq9V4enri5uaGXq9Hq9WiVquxWCxcu3YNmUxGcXEx3333HcnJybRo0YLg4ODKpHeVSsXkyZNZu3Yt2dnZqNVq2rdvz+rVq3G+oxjuPNCMRjh7FgoLwWrlq++/p9DXl9G/6ELxc+5Y3N9//z1SqZThw4dzIyWF8Tt3YhMCodXi6uJCvXr10Gg0WCwWTp0+jc1qJSIigrj4eG7cuAHYlV8tmYztwCKNBqPRiNVqxdPTk8LCQioqKu4aXyqV0sFm421AqNU0a9++shzZ5cuXkclk9uuTSNCo1RgLC3EBFgHRt2UEBAQQnJvLIiEICQggIScHRxcX6tevT1paGkqlEpVazdlTp9CaTDRp0ADNuHE8vXkzSSdPEtGkCR169CD8ySdpcrueaX5+PleuXCEhIYGEhARSUlLw9PSkXr16NGjQAH9/f/Lz8ystQovFUmkNNm3a9K/pbCAEFCdA2ldw4/tf7LOCR1sIHGpfb5ZIb58ieP311wkPD6dfv35/anibzcb48eN58cUX79k2q4Z/FjWK7xHg66+/5tq1a38oXyg3N5c1a9YQHx+PEILHH3+ckJAQ9uzZQ/369dm7dy9arZZx48ZVRpDu37+fLVu2kJubi5NIo3+zQqLahQJw8WoxS768Sq82XmyNuYlUAk81l1CQn8uxVD3FpRY6NdHQMUxBeXk5SZnl7DlTyvFkK+mFGho0aEBQUBBCCEwmEzqdroo1ptfrcXZ2rvy3k5MT+fn5TJgwgfz8fBYvXszgwYP59NNPmTx5MvXr1ycqKorly5djMBhQq9Xs2LHjvxGfGRmwdSt89ZW9CasQIARWIP36deQdO+L3yivQooW9mPPP+Pzzz4mOjmbYsGFMnDiR/Px8esvlrPT0pMTBgfT0dPu6mFZLcFAQSUlJqNRqWrRogQSIv3SJG5mZWCwWbEKgAJyBJ4E7pQDuuGbvlfzfDFgNSPR65DodQUFBqFUqkpOTuZCZySaTiQJgXP36tFOpuHjhAjIhcAf+H7DvZ7JSjx7lyty5eJ04gaNaTd2gIHLy8pAC7s7OlJaV8WVqKvWHD6eNgwPl+/cTn5CA1WJBrVJRIZEgGTSIlm++ac/t+xkWi4XU1FQSExNJSEggMTGR4uJiQkNDCQ0NxcPDA4PBwOXLl7l48SI+Pj6VirBBgwZ/vii7qQjOz4D8U4AElG4g/ZlMYQNTvl0BOvhDi2WgtRffzs7OZurUqSxatOhPv1jGxMTwzTffsGTJkhqr7x9OjeJ7BDAajbz44ov85z//ITAwsNrn2Ww2Jk+eTNOmTRk2bBhSqZTk5GSysrJ47733GDt2LF27dmX37t1ER0fz2WefIZFIOHXqVGVydvw3/2b20q9ZOLYpQbW0XLxazKyPExnc2Zf+HXw4cCaXtz49SR1PeKoZFBvh40MwIUqGu17OzSIperXgWr6aqZ8UotPp6Nq1K48//ji1atVCr9ej0+nQ6XTo9XocHBxQqVSoVCreeustYmNjMZvNNG/enObNmzN16lTGjBnDoEGD6Nq1K40bN2bXrl0EBARQWFhITk4OWq2WgwcO0DI5GZYtsyu7e/ShKy0p4UZcHIF+figiI+Gdd+B2tOf+/ft5/vnnkcvlaDQaysvLcdBomJeUhJcQeIeG4uziwuVLlyguKWGpxUJ7rZYbbm4UWCwEW620KypCIZWiUqkoKizEJgTewGLgy9tzkMlkKBQKKioq7OXJbitAIQRbAX+tlgKrlZCQEFJSUrDabDg5OXHAwQE3rZaQa9cwlJYilUiQ3S53prDZUGJXsBU/G8dqtaIFuisUvDVsGMacHMqEoFX//qw6eBD/6Gi8zGb8AgLwatCAc7GxFBYWYjQa8XFzo1lAgF1R9+wJ06ffs5v8HYqKiqoowitXruDu7k5wcDCOjo6UlZWRlpZGZmYmYWFhlYrQ19f3/pRGRT6cGAVlGaDy/P0egqY8kKqg9VrQBQOwY8cOjh49yttvv31fZfd+iRCCyZMnM3ToUFq3bv2H5dTw8KlRfI8I3333HXFxccycObPa5yQkJDBv3jzWr19fZQ3jwIEDREdHs2bNGsCexNy/f3/Wr1+Pi4tLVSHxb/HmwpU0CfXh6UhvLl4tZs5nV/hqTgukUgnlFVa6TtnPsLZm/FztD51Pjkjp0FBKI3+ZPZpQa2PPZS3vbBMUFBQgl8txdnausq4lhEDc7k4gvR2FKJVKUdwO1pBIJHh4eGC1Witda4WFhbRq1Yri4mIuXrxIvXr1KgNYJiiVvKLX41C7NlK1GtntbgeVH5kMqVTKrZwcCvLzqe/mhjQ0FNaswaRQ0L59e06fPo0QAr1ez/Hjx6mvUpHTqRPnb9zAJgROTk7UqlWLS/HxLLVaUQjB8xoNKomET8rKCACecXdHrVZzKycHpVKJgxBklJUx8Pb4Li4uFBUVYTabkclkhIeH0759e27u2sV/cnJIKi7GZDIB4OrqilqtpmmzZsy+coUmMhnuGRmUl5XZLUqFglatWnHi+HHcrFbeAPZKJOj1ekpKSiqVqkQiwdvbmwYNGpCRkUHCli2catkSi8lEns2GTCrFy8vL3nQ4JcWumI1GwsLC8Pb0tNfwjIiA5cvh1zo8/AKr1UpaWlqlezQxMZH8/HwCAgJQqVSUl5dz8+ZNVCpV5dpg06ZNf7s6j9VkV3oliXalV11MBSB3gLabQO2OEILp06fTrl07ev0sWf+PcPLkST7//HNWrFhRY/X9g3l4jeFqqEL37t3ZunUrSUlJ1c4Xys3NxdPT854L9z+vNKG6bQndCZk/c+YMX3zxBZmZmQhDKhV5pQT6/VdJ6RzkSKX2/9RKuf3h3byxE/nZqYBApZTgqHfF2VmKwaxk04kCTmfq8fBQYrVaKS4uxtfXl1GjRlWu8Tk5OdmTt4uKKCwspKCggIKCAvLz8yksLOTo0aPo9XoUCgUKhYLLly9jNps5ceIEnp6eODk5cfHiRXQ6HUPd3BiZm0tcTg7k5SG/3Q5IIpHYE7Rv/73zYDKZTGRlZeF7+TLxR44wrqKCW7m5SG5bUcXFxTRv3pwNU6fytLs7bQMDOR8bS35eHrm5uShvK+dWEgmK8nJsQHvggFKJXq9HLpMhkUqJjIwk6fJlGmm1hAcE0LlzZ3bu3El2djYAer2edevWUa9ePQ4eOkRufj5SpRKdTkdxSQnFJSXo9HrGHz9OQnk5h4xGpMBLej3ecjn5+fmcOX2aiIgILp04wUjs7k6lUlnFlSpu5/dlZ2cT4uBA4bBhSICC2/utNhvZOTmUlJTg4e5Ovfr1eSs+nv2xsYxv2BB/Pz84cwZmz4a3365Wp3aZTEadOnWoU6cO3bt3B+xrqD+3CjMzM8nJyUEikXD8+HEKCgqoX78+LVq0IDw8nNDQ0Kpu0eyDUHSpSrRxtVC6gDELrm+CepOQSCRMmjSpsg3Xn4mgbtmyJdHR0fzwww81Se3/YGoU3yOCUqlkwIABbNy4keoW03F3d+fWrVtYrdZqR62ZzWYWLFjASy+9ROvWrZGb83jz3y0Qtt82/AMDAvF0UZOcnITZbKSiooJGjSJ4bfVF/J0guF4z+rXugslkYvPmzZw5c4Zdu3bx9NNPExsbS1paGiaTqUoeXsOGDfH398fLy4s33nijslg22EtnBQcHU1RURHR0NG5ubpw9e5ZpL7/MuKIifBo0oOLWLbuFKZPh7eODzWbDYrFgsViw3v4rhEChVFJaWspNICgnhxCdDpubG0VFRdhsNoQQGI1Gvtq4kcCsLLJtNqwWC3fuiNlsBokElzt97AA9kGcykZ6WhvV2msVPP/1EeWkptVQqTp06xalTp6rcw4KCAlq2bInO0ZHtOTlkC0FArVo4OzlRXFxMSkoK169fp6cQ5EskhMtkPHF7bTQgIACTycSJkyc5fuIECpmMSE9PvHNzuXmvAtTYXeGDDQZuJCVhVKngtmUJIGw2nF1caNioETKpFCe9HnelkitXrmAymwkKDISDB+H8efiDwRw6nY6IiIjKJrH79u1jy5Yt9O3bl8TERC5dukRcXBxXrlxh3bp1CCF47LHHaNOmDc3Dw/G+th5kDtVSvHehcLMHwgS/CDI1tWrV4plnnuG9997jzTff/F1rLS4ujhkzZjBgwACGDx9euV0ikTB8+HBWr15NZGTkn44WreHhUKP4HiG6devGli1buHz5Mg0aNPjd40NDQ3FxcWHdunUMGTIEqVRKSkrKb55jsVgwm804OTkhk8k4E5vBuQwNAZ6G3x3Png8lUBxKpKioiPPnzyGVyPGv355hIz9gx44drFmzBpPJROfOndm3bx916tSpbDFUUlJCRkYGZ8+e5fz585w/f56MjAxSUlLIzMzEbDZTXl6On58ftWvXpnnz5uzdu5cOHToQHR1N37596eDgQHb//qRkZdEiIoLsmzdJSkri5s2btIyIqFKxBewP/4LCQq6mpFBSUoK/nx8bO3VieGIiMTExlccJIbianW2P5rzt/deo1UikUiqMRoTNRp7FQuDt44sAHWCxWkEIdE5OdvetzUbpbzxUS0pKsJWUgEyGDXsyv0qprFx7ujO2TQjMFgtWq5WKigqSkpIq3cUAZquV3Px8oiIjWR8TU8XNWatWLYqKitCaTDxZUcH1sjJsEol9LfT2MSq1Gi9PTwoLCpBKpfbi2kolDRs2JP7SJcrLy6nv6opYvx5pkyYP5AEvlUrR6/U8+eSTPPnkkwAYDIbKCNLY2Fh+/PFH9u3bRy1dCQt6ZYDaCw93a+XvtdrIlGDOh5uHoJbdAu3duzcxMTHs2bOHqKioXz3VYrGwZs0a6tW7u3IRQNOmTXFxceHw4cN07ty5+nOq4ZGhRvE9QtxpRbNhwwbmz5//u8dLpVLeeOMNPvzwQ55//nkAnnjiCYKCgn71HI1Gw5gxY3j77bexWCy0atWK1u17QOl2sJl/czwJEBAQiE6XhaNjBcWF+XQMVvH1OStbzk6ibt26vPrqqxw7doyuXbtSVFTE6tWriY+PZ+HChYSHh9OgQQMcHR05e/YsaWlpyGQymjVrxsSJE3F3dyc9PZ0jR46QlpbGqVOnKgNCevfuzfDhw/nE2Rnnhg05n5nJ8WPHCG/enGbNmhEXF8eWn37iB2dnimQyWjg5YTGbUZaW8qRCQe2AAPLy8kguKMB5yxbiS0ruur48nQ610YheCJq3aoWDgwOG0lKSk5JQZGdz+nbHA7VMxmmFgkYVFZWKqNRgwGaz4SqRcBa7Ba9Wq+/ZfkohlyMBZLfbDZnNZqxWK/eyuQsKCyktLUUul2MymbBYrTg7O2OzWjGWlHDs2DGcnZ3Jzc0F7Iqzdu3aKJVKWiQlocjKQqfXYzQaMZtMyGQy9E5OJBYV8dHlyxTJZDRSqUAIJDIZeUYjLs7OZKSnk5udTa2rV5l76RKlDg4olcrKVBQfHx9CQ0NRqVQolUp72sTtoCWlUonJZCImJoasrCykUilNmzYlICCAzMxM3njjDU6dOoVWq+XZZ58lIiKCwMBAdDodBQUFdhe82cjpazKCfQq5cSOLlJtWtp62ERXhyg+XLahVSsb1CUQuk7B2RxrFZRb6tvNmQEd7ROqVdANrvssko+RllF5f0LZtW0aNGsXkyZOZMWMGERERv1oq8NtvvyU8PJyioqJ7/z+4bfUtWbKEDh06/Pmo1Rr+dmqCWx4xrFYr48aNY/z48TRp0uTvGzh5LSStApVX1VDxeyAQXE25gq3sJu9uK+d4bhjz58+ne/fud7mQxo0bx4cffkjLli0JDAykRYsWREZG0qJFi8q1x3uRn59P586dSUpKQqvVAnZrKSUwEB9/f1AqSbxyhYz0dBo2aoRGq2XosWO0tNnoHxDARZOJVTdv0lGlouttpYFEgtVqpZZSyftNmrD6xx/5+c9fKpXypkpFH7mcfLnc3u7HZEIqk7G4ooJw4CJgAEKBvkoltp+5D6VALYWCiXI5MeXld12Tp6cnVquVtWvW0HH6dEodHLgYH4/VakUikditNokEIQTrgaYSCc2wKzMJIAD57aAZm82Gu83GU0Jw6x73TyaTsdXdHbe8PDyCg1GrVEikUvvaqdXKUrOZDmo1z4WFcaGigvcyM+nl5sZADw/Avh6ckJCAj0xG2cyZpNSpw/fff88PP/yAwWCgS5cuPPHEE5hMJsxmMyaTCZPJREVFBUajkT179uDi4kLt2rUxm80UFBRgMBhITk7G19cXnU7HrVu3yMnJwc/PD6vVSklJSeXvp2u9Qq5mFjHyCTW+rlJSblr45JCJx+tD2xDB+etwKB6ebBfClP7B3Co0MXVlPB9MaYyXq4rkzFKsxmKCG7YgL2ges2fPJioqit69exMdHc3ly5eZPXv2Xb/XnJwcXn/9dZYvX87q1atxc3Or4ur8OXPmzKFVq1b06NHjV3/HNTya1LyqPGLIZDKGDh3K559/zsKFC/++yLGgUXaLL+Vj+7qKwuneaytCIDEXUdfHkZ1XHidTIyEx8QDz58/n3LlzTJo0qUqk3gcffIBcLmfVqlW0bduWsLAwdu3axfLly2nevDmRkZFERESg/kX0YGlpKf7+/pVJ6rt37+bAgQNk9+2LwWolJDSUeqGhODo6cik+ngpvb1zd3Wl58ybXUlJwBDyAUouFUoUCuUxmj/xUKDCUlXHp5El++c5ns9nYbLPRzWCgUAi4HXl6p8JKLexBLWBXQneU3h1FpAHSzWZizHdbzhKJBIPBQHl5OS+OGcMbRUVEmM1UHnlbuUmlUqxWa+V5UonErrB/lgYhlUrRA+ncDlj52fF3sFqt2PLzMVospCQnV7pwhc3GdcAKNDEaOXv6NPVCQ/ERAkNJCXkyWWUHh1p+fhhTU1m1aBFf3u7+oFAosFgsHD16lMTERGw2W+XnztzMZjM3b95Eo9Fw9erVykT88vJy5HI5Pj4+yGQynJycKCwspG7dumg0msrjjEYj9VwuoJGWkpprw8vJvnYrlQja15cgQUKYn2DXeQm923mjUcmo7aXB31PDtZtleLmqCK6lBZMZ5Eo8PT2JiooiLi6O3r17069fP15++WUOHTpEp06dqty3NWvWMGzYsLt+j/di6NChzJ8/ny5dujzyJdxqqEqN4nsEad++PdHR0Zw5c6YyMOAvRyKB0HHgHAbJH0HxZUBi77knkdqThK3lgAB9AyTBo+nWpTU/5cxBIpFy8OBB3NzcmDhxIq+88goSiaRKkE7t2rVZtmwZe/bsIT4+nqKiIk6cOMG+fftYsWIFzZo1IzIykpYtW+Lg4IC/vz/btm1j586dzJgxA6lUSo8ePTA0aMCZpCTKjUYaN25MLV9ftA4OfHb6NEIux8XFhbzbwR567IpErVaj0+nQOjig0WiQFxbS0NubnNtRh3fWx7y8vKj/+ONcPnKESKsVma8vJaWlZGVlITEacdRqcZbLQSLBQaMh88YNe0qGXI5cCJzMZu44qHU6Hf7+/uTk5FBYWFj5QL9Tym2jVEo7uRyp1YpNCBw0Gnx8fcnIyMDdzQ1ycpArFHi4upKdnY1cJkOhVGKqqMBsNuPq6Mgym42Rgwbx1VdfVXHLeXl50aVLFxpdvszNuDgaNG5MWVkZRcXFFBYWYigtRW//dgF7lGeolxfeajUhfn5VfhYWR0e8KirwvN1xvrS0FJPJxL/+9S+mTZuGXC6v/Mhk9vSWmJgYtmzZwtKlS6vI+nlFofLychISEnjuuefw9vYmJyeHhIQEe9EAi4VzbhL8XQSdPHTUru1Kic2AXpuLXqfG3d2DOnXq8tnJWNz1/1VQSrk9/QYg81Y5H2+7RlJhCRWaAVitVoKD7Xl9crmcyZMn88Ybb1QpwH3y5EnKy8tp37491SEkJITQ0FB27dpFnz59qnVODY8GNYrvEUQikTB06FA2bNhgrxLyd+YL/X/2zjs8qjr7/697p89kJpMyaQQICaGG3kFQehEWQUTBqCuifndxQVRYBURsK+qySBNxVxAFBXYRERVEEKUoEBRCb2mQ3pPp7d7fHzOZBYmK7rqAv7yeJ8/Dw8y985l67jmfc97vmH6Bv9pzkL8Jas+Czw5KA5haQOIYMAXGLdTA008/zZw5c/D7/ezbt4/hw4fz0ksvceutt7Ju3brLGhImT57M6tWrefHFF5k9ezZDhgxhyJAhWK1WDh48yFdffcWyZctIS0ujT58+9OjRg/bt2yNJEufPnw/sD6ak0EOnI+PUKTIyMujSpQtms5m+HTuy7dtvqXY6A00bNTXUut1E+P143G5qJQlfsHnG5HKx7/RpzgT35eqoqqpi04cf0mPuXJqdOYPn2DGKamvxBIfPHQ4Hbo0GSZaJjIhAq9EEMh2Ph3Dg/YgIvqgKDA1YrVZOnjwZGmCXZTk0gC6KIhmSRIEkEalUIhmNaNRqvF4vJqORbt27M/3rrwPi2tXVAHTv3h2jyUTW+fPUlJVRZrXyqSBwq9WKTqe7LPDViXIXulyIXi+nT58OlUmRZcIIlGuVSiVqlQqHw8Gxykp0cXHwvcCnVCqZ99JLnFy+nAsXLjBjxgw2bNhAZGTkD5qz1nUbe71eSktLOXr0KMePH2fXrl2cPHmSTz/9lJqaGvR6PeXl5ZSUlJCWlkZ+fj5///vfue222/DbC3jx/7oBMjU1NTicbjQaNV27dkWv0+P3//gOzeub80ixqJjx0hJ0iX3ZvHkz+/btC92enJzM0KFDef3115k9ezaCIJCZmcm5c+dCpU2Hw4EoiuTl5THnB6Tv7r77bubMmcPQoUOvC1PpBq6OhsB3ndKrVy/Wr1/P/v376dWr1/9+AaZUaDPzJ++m0+mYN28es2bNwuVyhTrdDh06RGZmJk888QSW4L7RP/7xD/x+P/PmzUOpVPLnP/8ZCGRHAwcOZODAgdjtdg4ePMi+fftYsWIFrVu3xuv1snv37kCn6x13oF2wgF69enHo0CG++eYbunbrRofISIwGA4fsdrrX1FBsMFDm99PM78fj9aJQKvF4vei9Xi5otWQ7nVfIiHk8HgwGAzu+/pqy5s3pXllJck0NyUYjT/n9OFwuPF4vfp+PrOxsdIJAvEpFdGIijxUV8YnHQ2xsbGhuDwIlR7VaHRC0ruvYDD7u0qgo/uZyUWa3U171wVcAACAASURBVFpdjahQkJSUxJHDh7HZbPiCxrIRZjMlJSWEh4cTExGBxetlst2OE1i/fj3fx+Vy8fHHHxNtsTBFEIiIjcXhcOBxu7Hb7TTXaNDIMse1WlrW1vKd00kW0KSoCGdKyr9/wH0+EEVUPXuycdAgHnjgAV555RU2btxIs2bNQo9ntVrJysoiMzOTU6dOkZWVxZ49e0hISECn0xEREYHZbCYyMpLU1FTmzp1L+/btCQ8PZ9SoUSxduhSz2czhw4cJCwtjxYoVbNmyBXexn1Gd/Gi1YTRLaoT5VCl6nf6qPr5Olwu9MRptQm/y8/PZunXrFa7yd911F9OmTWPv3r307duX9PR0xo0bF7r9zTffJCoq6kdNeZs2bUqHDh3YsmUL48ePv6q1NXDtaQh81yl1nWOrVq2iR48e/5HU0q+N0WjkueeeY+bMmTidTg4ePEiXLl3o0aMH06dP549//CO9e/cGYNWqVXi9XubMmYNarWb69OmXnctgMNC/f3/69++P0+nk0KFDfPLJJ7zyyivk5+dzc8eO3CLLKIEePXqQmZkZ6O7s1Im71Wr+6fezx+cjsaqKrlFRGJ1O1H5/YHg/aAb7lteLzW6/4nkkJycza9Ysjh07xuurVvFybS1dlUru9/vp6nCgliQUQF24lNVqPoiIQDNmDLvWr6dZbCynTp264rx1Jc5LUavVPPmvf9HSZiN22jSOZmdj9/nIyspCE+yKhEA5Mjw8HFmWKcnLoyo7mzdVKj4RBPzfc3yoo069Zn1ZGZOBcKDUasXr9ZKSkoLVauVeh4O1NTV8CKQCrQQBvcHAqdOnSUlJIdxkgooKGD0aTCb8Xi/PPPMMjz32GL1796Zfv35YrVYKCwtDXadxcXE0adKEtm3bMnToUI4fP05xcTGiKIa6jT/77LMrSokul4vdu3cjiiJTp04lMjKSqKgoVGGxGMOqaJfWmuM5DqD0Rz+HIWSZSQONLN0bxcY77yI5OZm+ffuSmZl52d1UKhXTpk3jhRdeCAXiS7O2ui7VH1WXASZOnMiMGTMYMWLEFeM0DVyfNHR1XsfIsszMmTMZNWrUDaESUVpaysyZM8nMzESn05GUlMSoUaPYuXMnnTt3ZvLkyaEmgLvuuouNGzfyt7/9jT/96U8/eE5Jknj55ZdZuXIlN998M4IgMHj/fnqXl6Nq3BitTkdBQQH5+fnEWCyICgXNmzfn/PnzPHvxIiNiYkgLBj4xKP01XJbxfK+JBECr1aLX60MdhgaDgcOHD7N27VpenzePFrJMlFqN3eOhBiiMiSEsMpLTp0+jUChITk7G7XaTn59fryj1pTz55JO89NJLHD58mEd79eJpjwczoNDpcGm1lFdWAoHmlnAgQqejyuXiZeCT4Ff2h766dXJwUVFRTCwt5W7AZjTSPrjXV2u1Ul1djdPhCI1ICIJAu7Q0jEYj586dwxQWRpjTyV87duRgdTXl5eVIkkRYWFhIfuz+++/ntttuo02bNsTExPzsknx2djbbtm1jz549tG3blv79+3P+/Hk+++wzRowYwe1jx6LL+lug5K6NC7ku/CiyDO4SMHeAbstA8cOdw3WsXLmSioqKXyQSX8fixYuJiIj4wQ7QBq4vrt80ooFQ1rd27dorfqSvR2JiYnjxxRdp3bo1NTU1obb2m2++GZvNxvTp08nLywNg3bp1/O53v+Oxxx7jjTfeqPd8RUVFDBkyhDVr1pCfn8+uXbsYPnw4t335JbrWrZGKizmUkUF+fj7IMgeKi8mvqkKhVFJosVCpVBJVU4MgCESo1eiARyUJpyxf8XoKgoBSqQx1X0qShOz1MrBrV9a+8QblwB6gqlcvPgeO6XRoTabQ8/H7/eTm5mKz2YiPj//JIBATE8Nnn33GkCFD2O12M6VZM55Uqcj0+VBVVhJNoCs1DrggyzzmcDBIkvg42D2ZmJhIQkICFosFtVp92V6qHHx+paWlrAIKgDCXC0mWOXPmDEqFAqVCEXLHqDvm7NmzHDlyBLvViufCBTYoFOg7dmTq1Kl88MEHHDlyhMzMTM6ePcvLL7/MRx99RG1tLbGxsVcd9NxuNzt27OCJJ57g+eefJzIykkWLFtGlSxdWrFhBZWUlixcvJj09HZ1eD22fhPjB4CoG/5XWTpch+QL3M7WGzguuKugBpKenc/78efbv339V96+Pu+66i61bt/7g7F8D1xcNGd8NwKxZsxgwYACDBg261ku5KnJzc3n88cfJzMxk2LBhKJVKmjZtSuvWrXn33XdJT09n2LBhCILA6NGj+fTTT1m+fDmTJ08OZUqiKIYy3i+++IJz586RkJDAli1bAlqmZWXwyCPkffEFF+x2rB4Ph2SZXZKEQqulhcXCQEGge3g4VefP43C5mGcw8JmtfoUajUZDq1atOHXsGD0kiXSgp0qFUq3G4XDgl2U+Bz5QKDgclIi75557uPXWW5kwYUKopV8URZRKJbIsh8YgLkWpVF5hSgvQqFEjiouL8fv9mASBaI0Gt8uFNjqaxDZt+C64/1VUVARAp06dyM7ORhVsTomLiyM/Pz9UIr2UJyZMYMC6dUTKMuWBFzcgFE5A09Xj8VBbW0urZs1oolSirK5GSkhgVVYWZ/x+FKNH02n0aDp27EhqamooyK5fv54nn3ySefPmcd999/3oZyIvL49t27bx1Vdf0apVK4YPH07nzp357rvvWLVqFREREUyaNKl+8QVZguy3A39+V8DwWGm8pNvYAT4bCApoNBpaPQrK+htNTpw4Ua8kYG1tLXFxcSxbtuwXlytXrFiBUqnkgQce+EXHN/C/oyHw3QCcPHmSBQsWhL5YNwJnzpzhiSee4OjRo/zhD39AlgPdeb///e9Zvnw5cXFxPPLIIxiNRkaMGBEaa9i/fz+DBw8mPT0dCHTW/f73v2f79u0YjUZyc3P/nd3YbGwZO5aY3bvRCQJ+hQKvKOJwuVALArEGAx6vl/2iyEqtln1lZfWWB7t160Z2dja97HamuVyYAB/g1GoRg/NnSBKRBEokucALKhXelBTuvPNOXnjhhcsySKPRiFqtDpUcZVnGZrPVu9cHgSA/duxYPvnkE3xOJ/1VKob5fMQKAm1atKBjv3586fPx4Icfcr6yMqSgIkkSJpOJ1NRU8vPziYiI4PTp01ecXxAEooBZskwfArOibp0OlV5P5y5dUFit1B45gt7rDXy+4uMhPp7KigpygufLMpvZHBFB+pIlIRFqgG3btoUEFx5//PHLHrdOvWXbtm2UlJSEungtFgvZ2dmhEuOkSZPo2rXrT2eNfheUfAk574LtfCDDE0TQJUDSRIgfBupfboK7YsUKnE4njz766C86vrKykilTprB06VKioq50hG/g+qEh8N0gzJs3jx49elz2o3O9c/ToUWbOnMnx48d56aWXkCSJffv28dRTT7Fjxw6++eYbHn/8cdq2bUvv3r355ptvaNSoET169GDjxo2h8xQWFoY6W+tKi3U88MADrHv7bR7t2JGHYmKozcpCI4pknD1LptHIWqsVf0wMPp8Pl8uFvZ6mFpVKxf+FhXFfVRVVgNFiwWgyUVxUhN3huOy+AhClUIDfzxMqFQdl+YoMThAEjEYjsbGxJCcnk5OTQ0FBAW63u95sD0AL3A3cI4roJQkv4BNFNDod7Vq1QnC7OX7yJJ9JEv8ALggCBoOB8PDwUKZY99h1X+mUlBQ8Hg/FxcWh7DMBGA3cCTSPjSVCFNHX1OBTqciSZSxt2hAZlPKSJIkDBw5gt1rRe73Ems00fekllA89dJm4wfr165k0aRKTJ09m0aJFXLx4kW3btrFr1y5atGjBsGHD6NatGwqFgoqKCt59912+/fZbJkyYwJAhQ375xZzkC2R5/6VxH5fLxZQpUy4zbf65rFy5ErfbzR/+8If/ypoa+HVQzLtaK4AGrimNGjVi+fLljBgx4oZRhI+NjaVFixYcPnyYDRs2MHHiRNq1a8fChQsZP348nTt3ZsGCBZSXl/PJJ59gtVqpra3F7XZz++23h9rPjUYj7Ro3Rv311/TV6VAdPw45OezPyGD2ggX4gH8dOcKTe/eyID+fL2JjebOsjK9sNmzBPbshQ4Zw2223cejQoStKkMMkicc9HsoApV4fav6IiIjgHbOZJL0evduNJEkoFArURiOy38+0lBS21tZSUk8w0+v1dOvWjV69evHQQw/Rv39/Dhw4UK92Z6Jez0KvlxGASxSplGWcgFuWsXu95BQVkVNailOWaQeMEUWOyDJTXniBkpKS0MWAQqEIzOYFbYqqq6sDYxGXrM8KHALeBmwqFb1EEWO3bgjJyZzIy+PChQtERkXx+PnzNNXrsWg0VNXU4FerqfV4iDp2DK3JFHJsKCgoYM6cOXg8Hg4ePMj69etD3olTpkxh5MiRJCYm4vF4WL9+PYsWLaJdu3bMnDmTtm3b/mfdyoL4Xwt6QKgkv3TpUgYPHhzyivw5pKSk8Prrr3PTTTc1dHhexzQEvhuEqKgoTpw4EdiLadXqWi/nqmnUqBHNmjXj0KFDrF27lvvuu49bbrmFV199lebNmzN58mSefPJJzp49i0qlQhRFysvLkWU5oKB/6hQsW0byO++QVlKCJiMD1XffUbF5M9716+np9WJMSKDnuHE8NWcO1dXVVFRUhHQf5Us6INPT0zly5AhVVVVIkoRWq6VxRASvOZ1UyzIeIMZioWuXLsTExFBSXMz26mrS1GqiRBGDwUDTJk2oqKzE6nbjqKigtc/HFoUCMTicXocoijidTjIzM9mwYQMnT56kqKgIo9GI45IsUg8s8nppCZQAnvpKoYKAVqtFpdFglSQESWIU8Oru3RzMyUGlUqFQKIiOjmbcuHFs3LiRnJwc8vLyLtvzU6lUKJVK/H4/LYCXfD7ybDZMFgsGvZ7Kykpqg36JtzdtSkpUFDqdDpvdTqdOndDodJzMyUGfkYGhXz9qDAbS09PJzs7G6XSGAm5cXBzPPvssRqMRSZL4/PPP+ctf/oLBYODJJ5+kd+/e163EV1xcHBcuXCAzM5Pu3bv/7OM1Gg0ul4sDBw7Qs2fPX2GFDfw3aCh13kDk5uYyd+5c3nzzzavSErye+Oyzz5gzZw6VlZVs374dnU7Hc889R1RUFJs3b0YQBEpKSlAoFNjtduw2GycfeYSW33wTuKqPiqKgtBS/349Oq+X4iRMIsozB50MvitTEx5NeUUFe0Im8bn+trgRY13SiVqvp06cPWq2WzZs3M1YU+bMkUUIgMEh+PynNm9OiRQuQZcbv3Uu/2lqayTJqjQZREALWTj4foiAQI8vcr1SSrVJdtoenUCho0qQJDocDp9MZUlep8wusm7V73OfjdgJBz2Kx4HA4QjOGarWapk2bEhcbS1Z2Nh06dEAURbZu3UqYJOEB7g4Pp8pux2Aw0Lx5c1JTU2nfvj3du3dn06ZNLFu2LPQeKBSKgOC1IPAXnY4hHg8FwWywZcuW2Gw2ioqKAjZJCgXNU1JI/J6SS3lFBRe/+w57WhrPhIeTkZFBdHQ0BoMh5PX46quvEhkZyZw5c1i7di1Go5FJkyZdtcHytcZut/PII48wffr0XyQUb7fbeeihh3jllVdo1KjRr7DCBv5TGgLfDcYrr7xCcnLyZQoTNwoffvghc+fORZIkvvjiC/R6PX/4wx84ceIEYWFhVFZWUlBQwK0jRjA4M5P2p07RpGtXomJigEDnXX5+Pq1ataK8vJwTJ04AIPn9RAH5Hg/3SBLVBMYFXC7XZaVFlUpFSkoKdrud1NRU4uPiuP299zADhpgYamprUSqV2G02xKDU2F89HkbKMs0I7J8pRJEwoxG3y4Xb4yHK72cL8H0TKUEQ6N69e0i8uaCggLKyMnw+H4IgoFKpaBEfz5t5edhVKtx+f6CUKoqICkXgfoDRZKJRQgJqtRpzRATfffsttVYrCoWCWOAFvZ7ZX3xBkyZN2LdvHxkZGZw8eZITJ06Qk5MDEHJ/qAt6Rllmh0KBLj4em9tNRUUFsiyjVqkQRBGvx8MKjYbpqanc0qTJFe+jrbaW3IwMXujWjQfnzsXtdlNTU0NZWVnIpmfkyJG43W5Wr17NoEGD/reye/8FMjIyWLFiBUuXLv1FF5n//Oc/ycnJYebMn1Y/auB/T8Mc3w3GxIkT2bRpU71NGtc7t912GzNnzsTr9TJq1CggoOQyadIkOnbsyEcffcS2bduY2aIF96rVSBYLGd99R2VwmNsQFhYqE+oNBiIiIujSpQuRUVFUKRRYJInXlEpSkpNDgsqXEh0dTXFxMbfddhs7d+6kV+PGNCKgW1lWXo7f58Nut6PRapElCVmSAsFAEBD4t6hzTXU1DqczMOiuVHJ/QsIVV/ayLPO73/2Obdu2sX//fgwGQygLjY+Px+Px0DIvD51KhVeSQJZRKZUBF3mvl7i4ONwaDW/V1PDAqVNMPn2a2bt343K5MIaFoVQqcckyd/t8GAwGYmJiGDNmDPPmzeP+++9Hp9Mxffr0UMDR6XShDtNbCEg21djtKEQRtVqNTqfD7fHg9XhQqdXo9XrM4fV3SIaZTLRs0YL2RUW88MIL9OrViwkTJpCens7u3bt56aWXWLBgAd26dWP27NmXSbjdKHTr1o02bdrw7rvv/qLjR40axbFjx8jNzf3vLqyB/woNge8GIzExkW7durF58+ZrvZRfxN13381jjz1GaWkpY8aMAWDKlCn079+fZ599lgijkfb79iFERNC5WzeioqI4ePAgVVVVKEQRnU6H3W6ntKSEmNhYtEGJKZVaTbVSybBGjeih13Py5MkrhtQtFgv33HMP77zzDmazmWUvv4wEGPT6QHATBGKDnnkmkynQCep245ckpGBh5NJ/A8Q1akSkRkP/oAzXpZnNCy+8wMiRI5kxYwZ5eXl4vV5atmwZKh/eBbiCxrAGgwEEIVCOBAqLiljt8RCtUvEn4GG3m7RgI4jT6SQyMhKPVkuq38+M4PD0/Pnzuemmm0hPT8dqtTJy5MhQY4vT6SQiIoL27duTZjIFHCb0erQ6HWIwk9VqtfglCZfLFbrY+CFUOh0z7riD6Ohobr75ZhYuXMgjjzwS0tocO3YsmzZtonXr1gwZMoSsrKxf9Hm5ljz44IPs3bu3Xhm6n0Kr1TJu3DjWrFnzK6ysgf+UhlLnDUhxcTGPPfYYK1as+EkdwesRWZZZsGABr732Gr1792bdunWIosiBAwfY+vTTPH7xIsaghYwMZBw8SGVVFT179KC2thZBECgtK6NFairHjx/HL0nExMRw7tw5mhkMHI6MZJYsU1lZie17A+t6vR6TyURJSQltZJn1RiOVoojdbg943slyoAFEktCo1cx3OhkJJBNoMpGCnnNy0N9OABoJAt1lme/3dtbZ9PzQCMPXoohXr0cOBkuf34/b7cbv95MPrAceJZCdCUHPPwi4LCiD+5FGr5cpQGbwHHVf50vX+H2eEgRGA6WyHPL7k+v8/oL3WQz8X6NGjO3UiXqLlJWVSD17smPoUKZPn05JSQmrVq0KZfJ1SJLE448/ztatW1m3bh0dO3as97W4Xvn666955513WLx48c9uyPF4PDz88MM89dRTgT3jBq4bGro6b0DCwsIoLi4mKyvrhvshgUBW1LNnT2pqavjggw+4ePEiw4cPJzExkU7bt1Ny7Bju4F6aACQ0akRlRQXfnD/Per+fVYWFHPb5qLl4kejgOWuqq/H5fITHxdHc5WK1zUap1XrFY/v9fmw2G7IsY1IqGevzYUlKIikpCavVij6YQWqCjgqHRJGWgFmWkQG9TofJZMLtciGKIhFGI7LPx98JBBvFJd2dKpWK+Pj4emWsBEHgIVmmNuge4fV4AgEy+Dj5QBlQ58Z4aQCTZBlJklCpVOhkmS8EgYuX3K5SqWjatGnIGf379AkPpwtgjI8PlIODprsatRoh2AR0VKvFUl2NVFFBQnz8FWMHttJSPi8uZpffz8svv0yTJk2YO3cuFovlsoYQQRAYNmwY1dXVPPXUU3Tp0oUm9ewbXq80btyYEydOkJub+7O/awqFAq1WyyeffEL//v1/pRU28EtoCHw3KMnJySxdupSBAwfecB2eEPhB7Nu3L4WFhbz33nt4vV769euHdskSjHFxFBQVYbXZMIeHIwoCsQkJzMvNpbHNxjhJItzt5n2vlxZ+P3pBQJIk/H4/MiC7XOzy+UIdi5dSF0BUKhXGhAQG1NZiLS3lYkkJXq8Xu8OBx+vF7fEgSRLfSBKpskxE8Hivz4fD6QxlU2FuNztlmS+C5750pMHv99cb9JRKJVqtljt9PpqlpJDQqBGRUVHodbqAPJrfj0cQOCKK1DXECwRa5du3a4dCFLHbbCAItG7alC1KJdnB/UyFQkFKSgrPP/88PXv2ZNu2bVc8fpjXy2BRpNbvxxAWFrBMkiTUGg06rZaOHTqw1+tlaNOmOAoLuXDhAjFBTVCn00l2Tg7usjLC772Xu557jujoaLp3705KSgozZ87EZrNdIarer18/VCoVTzzxBMnJybRs2fLnfmSuGWlpaSxdupR27dr9bEWWpKQk3n//fZKD+84NXB80BL4bFL1eT0VFBadOnaJz587Xejm/CFEUGTBgAOfOnWP16tVERUXR+ZtvUISHE2WxUFlZSWlpKeaICM46HGS4XAy3WpElKWC1A9RKEo39/kDQk2UEUUQny+xVqciqJ9uBQNBt1aoVURYLOoOBLlYrNZKE2WxGoVDg9/mIMJtxu93sB1oAERAwnpVldDodPq8XAYjWaFidkBAKPJdSNz6QnJwcKKX6/YwcOZJNmzbRv39/stevJ7y6msKqKtweD5WVlfj8fkRBoG/HjnxVWUmlLJOsVOKTJPL8fvReL126diXCbKa8uBhHeTnz7Xbq5JsTExN59NFHOXHiBHv37iU7O/uKdYW1aMEDBgMQ2Kuz2+3IBEpz0RYLSUlJfFRSQr/YWLqlplJUVERWVhY2u52ysjJiIiJIiI7GsnQpwiUXXS1btqRv377MmzePzMxMRo4cedmeZ7du3YiNjeWJJ54gMjKSDh06/JKPzf8crVZLVFQUK1euZMiQIT9r6F4URcLCwti0aRMDBw684bpbf6s07PHdwFRVVTFlyhQWL15MdHT0Tx9wneJ0OklPT+err77iTGwsUU2agFKJDBTk51NRUUGZxcKnVVU8l5TEl7t2IQO7AI9Kxb2RkQGLHa+X2JgYIiSJNT17svbUKfLy8gI/7LJMZGQkVVVVDBgwgB07dgQevLoahg0ju6qK01lZNE5MBEEIaIKKIjKBfSqBwD6bTqvFE8wGwyQJm07HeEHA7nCEftRUKhX+YDCGQKbmdrtRKBRERETg8XhwuVzcrFLxhlZLrtOJ3eFAIYqoVCrUGg16vZ6ssjKOJiSQ7fNRVlpKa7+focHzd+nShdyDB/lcFJn9vcy2cePG6HQ6XC4XhYWFoREKObg/qVar2ThgAP1ycjhZWUl1VVWgYUeW0Wg0GMLC6NSxY+B5SBLFxcWcPn0al8tFk8aNSYuJQRg1Cp5+ut73Mz8/n7FjxxIdHc2GDRuuUDDZunUrU6ZMYerUqb9YF/N/jSzLvPDCC6SkpDBx4sSfdawkSUyZMoUHH3zwhr1I/a3RkPHdwOh0OqxWK0eOHKFbt27Xejm/GJVKxYgRI9izZw+Ww4dJCFr+CIDJZEKpVHIqL48DXi8Tk5Koqq5G8vv5VpKIEkUsdjsejwe1SkWjhATCFQr2t2rFjowMfD4fiuBcXF1nY15eHjU1NRQWFuJVKCixWtHt20d048Zk5eRQXVWFTqvF6/VecYXu8/tRqVToRRGN38/adu04XFKCP+jYEBUVhcfjwWQyBcStIRQAZVnGGRyDiI+Pp0qn46bSUjSyTFRcHIIg4PZ4cAXvkxAZyT2dO3N7fDxN8vMZ2LQptqChbH5+PgZZ5nlJolqluqzEqtPpGNKpE8+1b8/c5GRanzjBQAKZq9NgYPKMGWhTUzHt2IHf5cLp96MJCl+bzWYEQeB8VhbIMhcuXEAUBNLatiXMYKAwKwtHTQ26+fPRxMXV+36aTCYmTJjAP//5T5YvX87w4cMvcz9PTU2le/fuzJo1i/Ly8hti/0sQBNLS0liyZAmdOnUiIiLipw+65Fiz2cz69esZMmRIQ9Z3HdCQ8d3gWK1WHn74YRYuXEhsbOy1Xs5/RFVVFS/17MmE7GxSv6d1WFVby/0ZGXRXKungdJLj8/E+8CDQSKPB4/EgyzJmoNxsZmZwT6qkpITa2lo8Hg8RERG8+uqrzJo1K9Cg4nZTVFSE3+djTlgYt9lslBEQhya4hycTKFfFxcZSXFwMgF6WiTUYeMJu54hGw82DBrFp+3aiLBbKysqIjo4O2QfVUZdxqdVqNBpNqMFmtCDwvFKJ1WDAFBHBhQsX0KjVqIP3MYeHIwgClVVVaDQa5OC4QQwBzc0pwfPHxcVht9tpZLUyWaHgvqZNUQgCecXFWB0OREAty6hUKk4CKwWB515+Ge2MGbhEEdFkwmAwoNFqiYuN5dixY9RarTRt0oQ2bdoEHsThwFFSwt0XL/KRzcagQYMYO3Ysbdu2pVWrVldUHSRJ4uGHH2bv3r2sXbv2imznxIkTjBs3jgEDBrBkyZL/TLfzf8Tnn3/Oxx9/zIIFC36WuLYsy0ybNo2JEyc2SJldBzQEvt8Aa9eupby8nGnTpl3rpfzHlOXmkt+mDTWyTM+bbkKr1QZGCASBwwUF/OXwYYoBIzBQEOig0eByuwNlQrWaGFnmWa2WD6qrrzj3rl27MJvNjBo1isqgvY/L5aJTp04cysggXa3mKYMBR00NlR4Plw5C6DQaohQK/A4HCqASiFIqcft8KEURWaFgu07HJlHk0PceOy4ujpqaGpxO52X6oVqtFrfLxSy9ntudTkpkGX+wq7JOGk0QRXxeb0CpJTYWWBpljgAAIABJREFUv8+HVFrKBWAShNYoiiK36/XMdDjwSRIVBEqziYmJSJJEUXExUnD/MByICw/nA62WU1FRvKZUEqZQYFUqOXzyJOFmM00aNwYCDhvhOh3tEhNR6nTwl79Q07EjiYmJ2Gw2YmNjiYuLIz4+nk8//bTebObFF1/krbfeYvHixYwcOfKy2/Ly8hg9ejRt27bl3Xffve6DnyzLPPPMM7Rr14477rjjZx2bkZHB6tWrWbJkSUPWd41pKHX+BkhJSeGNN96gZ8+el5WUbkQMZjM6txvv3r2cLSxErVaTcfAgUdHRJFksdFeraVlWRlcgRhTp2asXxUVFeH0+opVKWnbrRpvVq1m7bt0VLgy7d++moKAAs9nMiRMnQr52BQUF/G70aN46cIALPXqw9ssvaSnLRHu9aGQZPaD3+3FIEmFBMWs/UCZJ2AGrLOOSJNq63Yxyu+ktipw3myl3uzGZTAwcOJDMzMwrnmvdfN9JoxGHx0NfQUAvSTj9fvyyjFKlQqfV4na7EQGlzYbCbucoMFUQuNTnob8s84zHQ40sY1coEINmuDa7HVEU0QQ7MkWFAjdg9ftpZ7Vy+wMPIL74It+cOIH/228xyTLNIiIIVyjQeb0kRkdTVVXFSpcL46uvEjd4MFqtlrS0NLZv3055eTl2u51FixbVbyJLoKMzOjqaGTNmoFKpLhN/NpvNjB07luXLl/Phhx9y++23X9eek4Ig0LZtWxYtWkT37t1DDvZXQ0JCArt27UKn09G0adNfcZUN/BQNge83gFqtxu/3s3fvXvr06XOtl/Mfo+3VC/3x49iPH+dcURH+4L5adHQ04WYzfkmisrISgcB+UVRUFDX5+SgkCf3bb5N600107NiR995777LzOp1Oampq+O6775AkCbfbjSAIrF27lmeffZba2lpe/8c/eHDBAor69WPekSOsKi/nX0CbhAS66fVcdLupBvxBebE6JAKNNjV+P82AgU4n32m1qOPi2Lt3748+X7VazSNvvcVNc+awceNGOisUqD0eDH4/arcbPWBWqShv1Ii5VivLg7ZFgiAwfPhwPDk5LJNlrICkUmEymZBlmaRmzaitqcFqs+FyuzGFh+N2uVAGZdiUJhNR586xZN8+3Lfeyk3LlnFOqSTXYCBl5Ei45Rb2RkdTdP/9lKWmMuO55wDo2bMnzZo1Y+fOnXg8Hmpqati+fTt33HHHDwaC9u3b07lzZ2bNmkVeXh6DBw8OZT0Gg4G77rqLNWvW8O677zJ27Fg0Gs0v+ej8TzAYDOh0OtatW/ezdEgFQSAmJoZVq1YxfPjw6z67/S3TUOr8jeByuXjwwQd5/vnnSUpKutbL+Y95ff58tLNn0yEoOq00mbg5OBsmyzJ79+7F43IRbzbT1GjkVF4ez0REsL2ykr/97W/ExcUxfvz40PnES5RPLi03xsfHExMTw+DBg0lMTGTRokUIgoDX66Wmpga73c7c6GgmOp1c8HhwuN0Q7I4Ug6MPkiyjDe4zKoKZVrQoYk5IYGBhIRfrGauoW4NKpQp1faqDQ/MDunfHkpPDqtde47VXX0U2GLA3a8ab27aF9hkvZbpKxd0+H7V6PS63G4PBgCPYZapSKnG6XMiShFKlQq1S4fF6USmVqDUamppMRHfrhv5f/wKgqKiImTNnsnr16kD59PbbOXToEDt37qS4uJiHHnqItLQ0Vq5cydatW9m3bx+TJ0+mf//+2O121q5dG5Kiq49z585xxx13kJqayrvvvnvZDKrb7Wb8+PEUFRXx8ccfX9dzb7IsM2vWLHr27Mno0aN/1nGzZ89mwIABDBo06FdcYQM/RsMlx28ErVbL7bfffkWWc6Oy4+BBZuj1LFEo8AL62lq8RUVQW4tQVkZfs5mBSiUta2tx5OcTodOxITGRR/x+FkybxqRJk4BAh2P37t0vu7qWZRm9Xo8yGKRat27NgQMHePzxx8nJyaGwsJDw8HA0Gg1NJIkRZWXkuVy4PB4UCgV6vR6VSoVKqUShVCIIQmDEQZbxer34fT5KvV6qc3OZplIxYcIEdu7cSWRk5GVrMBgMIceE6Oho/H4/Pp+PLw4e5P2SEm79xz949tQpKnr0oNvtt9MpaP56KWatlgfNZiSzGYvFQmxsLC/W1vK1LLPE42Gu08l2tZqw2FjW+P3MdThY7fdj9XpJTk6mSbt26PPy4Nw5IHAhEBkZycmTJ5FlmeLiYux2O3/84x9p0aIFe/fuxW6306dPH5KTk1m4cCFpaWlcvHiRNm3aMH78+B/da05NTeWLL76grKyMoUOHUl5eHrpNo9GE9D0HDRp0Xet7CoLA1KlTWb9+/RWNTD913D333MP7779/RSm+gf8dDYHvN8SIESM4c+YM58+fv9ZL+Y/ZuHEj33z7LZbp07kvKoqpwE6nE0pLISsLnE5qLBbo0wepfXvyZZlan48/mEz8U5Z5xmYjQqVi/vz5nDx58jK9TK1Wy6JFi4iNjaWsrIxNmzaxZ88eFAoFMTExyLLM8ePHKSsrY3QwMPUbMAC9wYBOq8XpcuEP2ggJBH7MLhWuJmg7JMbEMM5o5M8PPcQdd9xxmfCz0WgMzRaaTCZcLldof9bn8yFJEqdPn8ZgMHDq1CmmTp3K1q1bQ8drNBri4+OZP3o0JpUKlcGAzW7HFRyhOObzcZ8o8ghw1OViaVUVt+p0zNHpQoo0siQFvA4FAT76KHTuPn36sG/fPsrKyvB6vWi1WsrLy5k6dSoajYYtW7YwduxYxo0bx/Lly0Ov6aFDh3jooYd4/fXX6dGjBy6Xq973NjIyku3btxMfH8+AAQM4c+ZM6DZRFFm1ahUDBw7k1ltv5ejRo7/0I/SrEx8fz5133snixYvr1UT9IVq3bk3jxo35/PPPf8XVNfBjNAS+3xBqtZo777yTtWvXXuul/McIgkCLFi149dVXKSgu5qGXXiK6qgqrIEDPnsjdu5NRUsKxM2dCVj+VVitWg4FyQaAf8Kbfz6ZVq64Qqna5XJcNVkdGRmIwGPD5fJSWliJJEjqdjkitlnFAhd/Pgf37Q4PwsizjlyRqZZkNssxfZZmlgkDGJWsHCAsPx2m38+qAAVRXVyMGB9RFUcThcGAwGLBaraEh8+9z8eJFqqqq+OqrrwKD7UGRZK1WS3h4OBaLBb3ViuzzIcsyPq+X6qBEWh+VCj1gkGUaAxaPB4vfT/dOnRjdqhWlokjm0aPs378fryjCJfY5ffr04euvv+bUqVPYbDbEoIi3w+GguLgYURR55plneOutt1iyZAkTJkwI2UUtW7aM9957j2PHjtGkSRPOBTPJ76NWq3nvvfcYPnw4I0eO5MsvvwzdJooiCxcuZOLEiYwZM+Yn90ivJaNGjcLr9V52UXI1pKens379etxu90/fuYH/Og3NLb8xkpKSWLt2LS1atMBisVzr5fxXEJ1OOi1fToTHw5nKSgzBbOnRrCzCHA7CJQmjyURKcjIXL17EbrcTl5KCvrKSuOJitgFpHTqgUqlC7gcFBQUMHTqUwsJCbDYbLVu2xGw2o1arSUhIwO1208puZ5gsY69zcpdldHo9jRMTUSgULLfbaSJJjJdlWgGfAolaLaZgxlZVXY3f56OZXs9HSiWNGzfGarWGhupHjBiB3W4PmeVeappbhyzLuN1uHA5H6EfSF/QNrKqqorss07ymhiKbDbvdjkql4oAs01aWCQ9mIWeBJiYTPePjOXv2LCWyjM9ioY/RSElJCeXFxXjUaiLvvx8IDKDv3LmT2NhYYmNj6dmzJy1btuTNN9+8rFzbrFkzxo8fz3vvvceSJUvo3bs3sbGxtG3blvT0dFauXMnChQtJSkqq18lcEAQGDx6MUqlk5syZREVFXSZjVmdqO2PGDJo3b35dOhwIgkDr1q1ZuHAhffv2DdhLXQWRkZGcPn2aqqoqWrdu/SuvsoHv0xD4fmPU7UF99NFHDBw48Fov57/Dhg2wdSuqRo3QGwxkZWWhEEU+LiujpSCgdTrRarUYwsLIyc7GYrFQXFyMA0gBSnU6Tvv9FBUVhTKrOqWVfv36kZubS4sWLbh48SIul4uSkhJsNhutZJkBgB1AEIiNjaVTp074/H7OWK3ss9kYF7Qm0gGasDCK1Go6h4XhcDoD7uuShMLnY5XHQ1VVVUjFRZIkcnNzsVqtuN1uVCpVvVmfss6ctp7bFAoF/Rs3pllBATZBIDExkTCjkS/sdloCMSoVjRs3psJiwahU0sjrpUnjxmSWlnKmqopxqak0bdqU2uJivszL4+m9exk+fDh6vZ6amhpqa2uZPn06qampbNiwgTFjxlzRwWgwGLj77rspLCxk1qxZ6PV6unTpgtlsZurUqezYsYNly5aRm5v7g00g3bp1IzU1lT//+c/U1NRw8803h27r3r07FouFGTNmEB0dXW8AvdaEh4cjSRJbtmyhf//+V93l2bRpU5YuXcrw4cNRqVS/8iobuJSGUudvkP79+1NWVnZd749cNX4/rFkDZjMA4SYTTZs0ITsnBylYcpRkmfKKCo4cOYLRZKK6ujrQwGIwoLNYuNPloqio6Ip9mHPnzvHxxx9TWVnJjh07KCwsJCoqik6dOqHRaBAI+NPJsozP56OwsJDPd+zgzOnTVAXHB14N/i1QKNgjyziDA+eX/vRd2k16aZONKIo0btw40CEa/Kv7fwiUNKdMmUJsbCwajeayY3v37s0999zDzvPnEZRKIsxmfH4/1dXV+P1+YmJi6NuvH2lpaaiUSqKjo0lt0YKamhpMRiNhYWEcPXqUvLw8OrZuTcRNN7Fv3z5atmzJ2rVrQ/t8siwTGxuLWq0mPz+/3rdIFEWef/553njjDf76179y77334nK5UKvV7Nmzh8cee4w1a9bQvn37UEn0+9x6661s3LiRdevWMWnSpMtGRe6++25ef/115s6dy5IlS376M3MNGDNmDFar9d8asFdBkyZN6NSpEx9dsr/awP+GhsD3G0SpVDJx4kTWrFnzszbdr0sOHoTKStDrQ/8VFRVFWLCkZDMY+Lsg8ILHw6raWorLy0Ni0AAXKitpo9ORVs9VuNfrRZIklEplqKEkOzub/fv343K5sPJvY9YQsozd4cBVWopJlpkBPKVUMhP4k8PB8KqqQMlSEDAYDKiAOmMitVrNokWLGDduHEqlkhiLhVvCw/mLSsWHERGc69KFXc2b8+GQIdyUlMS4ceN45513KC0tpVmzZgwaNCgU/L7++mveeustzpvNRKWmogcqKysJCwsjJiaGlJQUtN+bhQszGGjTti16gwGvx0Pz5s3xuN2cOnUK04QJfPnll4SHhzN58uRQV2zdHl379u1/8kJq6NCh7N69m8LCQm666SZOnDgBwMsvv8zmzZvJysoiMTGx3mF+gI4dO7Jjxw5OnjzJiBEjLtubHT58OO+++y6LFi3ieixSKZVKpk2bxttvv01FRcVVHzdhwgQ2b958xT50A78uDaXO3yhNmjThww8/JD4+noSEhGu9nF/O++/DyZPwPYX/+Ph4Pi4tpdTjYaIg0MHpZI8koRZF4gUBf9CRQKPVonG5qDWZ2P+9LsM614I6twUIZC8ajQaz2Uyhw0E64ANkQUCtVgfKl0AYcBRwCwJtzGZSkpPJtdsp83gwCgIxFgsOp5Nwv591wBEC5VW9Xs+woUOJz8hgyoULjLbb6R0bS6RGg9rnQ6yspFl5OXfKMvekpXGsspJcl4vq6mry8/Mva4bQaDTYHQ4qKiq4SZZJ7dCBZklJjElIIO6S+bjekZG0C3aMCoJAu+hohsTFUV5RgcnjwZqWxsOff865c+fYsGEDLpeLzZs3c/LkSWw2G6NGjcLpdPLtt9/St2/fH327wsLCSE9PJycnh9mzZ2MymejUqROpqak88MADvP3227z22mtYLBa6du16xfFGo5GJEyeyceNGli1bxrBhw0JD8U2aNGHAgAE888wznD17lqFDh15X0l8RERG4XC4+++wz+vXrd1VrMxqNFBQUkJube8PYNP0WaMj4fqOIokh6evqNn/VVVMAP7H/oDQaGmM2IDgdaWaYFUBg0pPX5/fglCVmWUWq1WAQBhUJx2fGCILB48WIeeughdDodCoWChQsXUlVVxYkTJ7ALAp+r1UQJAubwcAYMHBjqBBWBu4BiWeYvNhv3HT/OOrsdWaOhS+fOuD0evG43MvCZQhH6Efxo40bcM2fyrCjSMTmZclGkRJapkSTcCgXW4DnLFAqOrF7N46dP839xcfzud7+74n10u904nU72hYdT4/fju2Rc4qfQarW0TEoiymxmfkkJbrebzMxMOnTogM1m4x//+EfIg27QoEEkJCRw7Nixq/osiaLI/PnzWbZsGfPnz+f+++/H5XIRFxdHXl4et9xyC3/605+46667Litpht7X4B51ly5dGDp0KIcOHQrdlpaWxrZt2/jqq6+499576z3+WnLnnXdSWlrK7t27r/qYCRMmsHXr1npNixv4dWgIfL9hevXqhSRJHDhw4Fov5ZcTdEqoDwFo16xZ4G6CgFahQFCrMYeHExkZSVxsLPEJCViioxkxcuQVXYGyLPP73/+e119/nSeeeIKIiAimDBuGZssWYjZvZkZUFB1vvhmDUknnjh1RKBTYLjGcNQJjgSkeD38WBJ6KiaGjyRQImjYbFuArQaCoziQXmAv0qq7GbjIRn5qKWqNBEEUK8vPJy8ujoqIi4ChhtWJVqUjt0YP5YWGMEMV6B55vueUWjhcUcHrKFC5kZ3Ns3z6sVutPv64uF0JFBab583l05UpqamooKChApVKxZs0annnmGbZv307r1q3Zu3cvvXr1ori4mNxLxh5+ihEjRvDll1+Sm5tLv379OBMcPfnss8+YO3cuH3zwAW3atKG6HkFxURR54403uO+++7jjjjvYtGlT6LamTZvy+eefc/78eUaPHv2D84LXgrqS59///vd6n1d9WCwWbr75Zv75z3/+yqtroI6GwPcbRhCEGz/ri46GH1G4UIgio0aOZOjQocTExiIT0OTUqNVYYmIwh4cjAocvXODUqVNXHN+rVy+m/fGPtC0t5T2Nhuphw5D/8hek5cu5z2aj56lTNNJq0Z84gf3ixVCGEWYw8P1CVq3ViiEsjLZt26L3+XAASy553W8FhgOFwPmsLHJzcrA7HFy8cAG3x4Pdbket0dCyZUtMRiNt27ZFFRbGufJy+n35JV3q8b/LyMjgu+++497582n+xReo9Xqyv/6aU4cP168M4vFASQnU1sJzz8Ftt9G3b1+efvppEhISqK2tJSwsjA4dOjB8+HBatWrF7NmziYyMZM+ePdx2222Xqa38FAkJCezcuZO+ffsyfPhw1qxZA8DTTz8daihq2rQpBw8erPf4J598kvnz5/PYY4+xaNGi0P/HxMSwY8cO7HY7w4cPr3cU5FqRmprK4MGDWbFixVUfc8cdd7Bz586f9do28Mtp2OP7jXPDK8JrNPDxx2AwBBRGLuGjkhJ6mM3EabWIokiOJKE0GhnYqBGlZWUU5Ofjcjqx6PVk9OnD/rNnMRgMoaYWAHdZGc/U1NDim28QbDbOVVWRW1HBhaoqyt1uqn0+bDodJpcLZX4+YUol0S1bUlZeHhpNEAQBZJm4+HisNTVU5eQAMCssjKro6JCM2csEslQPAUPbyooKIiIiUKvVREdHI0kSHrcbURQJMxrR6XScO3sWQa1GYbfTpXdv7l2yhPHjx5OTk8OaNWvQ6XQ8//zzZGRkcNOYMaRMm4YUHk71nj1UnD0LNTUYAMFqBYcDJAnGjYO5c+ESl4R27drx6aefotFoaNOmDceOHWPIkCFkZGSwe/duNm/eTHl5OXv27OHNN9+kUaNGVz1aIAgCQ4cOJSkpidmzZ3P8+HGGDh1KcnIyDz/8MGvXrmXRokXo9Xp69+59xfFpaWl07dqVOXPmkJ2dHTJzrRNs2LJlC8uXL2f06NFXPUf3a9OmTRvef/99IiMjaRy0ePox6kylMzMzb2hT6RuFBpHq/w84cuQIb7zxBsuWLbtin+u6R5Zh9GiwWq9ocHkgM5M/JSXRMdj88F5BAUUuF48H7XFqa2spOXOGEw4HY6xWhOA+n06nCwytJyay0GYjRZZp3rs3flkmMzOTxcA9ERHI58+jUqkIMxqprqwk3u0miYAH3nHAyb+dMURZxixJaNVqSlQqHvP5OCfLNG/enObNm+P85hteKCujhMAelgAh8ehMo5H/x955R0V1dW38oXeQIgpIB+ldBAWNsVPsHRCNnWpXMBowEgv2rjHGEHmjxBKNXbEk2GIvKIJYEEEFFellmHm+P0jmCy+IaEzMK/Nby+Xi3lP2vaPs2efs/ZxLQiFeVlRAU0YGXWVk4K6mBpFIBJnfSxEMdHSgQAJHjgCKiigtLRX/kn/06BFmzZqF06dPo3///vjyyy+hqqiIcytXYv+aNVARCuEzcCBcfHwAL69aGbJ/5vjx4zh69CgWLlyIlJQUTJ48GTIyMnj58iUqKiowcOBA3L59Gw8ePEB2dja8vLyQlJRU5wDahnj06BGCgoIgEAiQmJgIc3NziEQi9O/fHwcOHEDPnj2xd+/eek8uuHfvHgYOHAgzMzP85z//EQtci0QijBw5EteuXcPevXth+vvy94cmLS0NCxcuxJo1a6CmpvbG9h/TodL/diRLnU0AJycnaGpq1pKF+p9BSgoYMaJmae6/vqNtdnISOz0ACDAwEDs9AFBXU4OlgQHkRo+GtLS0uB6vuLgYcnJyONOtG7qYmOApiStXr0JGWhqazZqhqqoKSr9HkUpKShAIBKiorERJ8+a4q6sLgZwcnJo3h5uhITSFwpo/IhF+BRApJwf/ykrcqa5GVVUVbt++jf3798NXKISaujocHBxgZ2cHDQ0NqKqoQEZGBrLFxRhSXo7pIhE+lZHBLqEQOUVFqK6uRmtLS5iZmkJBTQ2oqKgp7wBqRTZGRkZITEzE7t27cevWLbi4uGDpypXwmDwZ8+7dg/KUKRi8bx/8VqzArd+j0fro0qULFi1aVKNN2rEjfvvtN3Tr1g2vXr2CkZERfvvtN1y9ehVz585FZGQkzp8/D0tLS/HyZWMwMjLCqVOn0LZtW3Tv3h1JSUmQlpbGnj17sGTJEhw9ehTm5ub1LvmZm5vj5MmTKCgoQLdu3ZCXlwegZj/wu+++w6effgpfX1+kpqY22p6/ExsbG3h7e2PTpk2Naq+mpgY/Pz9s27btb7ZMgsTxNQH+2Ovbtm1bvQog/3r8/AAHhxqB6sYuUJA1e1nt22PbkyewtbWtdcabgUCAR1u34s7Ll3BwcEBZWRmuXL2K5s2bo6K8HKWlpaisqkJRcTFevnwJaWlpVFRUoFwoRDNPT0hraSFAWhrDZWQQIC+PHrKyiJKWxrmqKkjLyEBFRQUtWrSAnp4eLC0tYSYjgxelpUi/cwf3MjOhoKgIbW1tqGtowF5aGiokCMC8ogJaUlJoZmOD1q1b4/6DB/+f7ScUAvn5r31kV1dXHDlyBMuXL8f27dvh6uqKHTt2YNKkSbh48SJMTEzg5+eHkJCQRiVeyMrK4quvvsL333+PrKwsFBUVwcLCApMmTUJxcTFOnjyJ5s2bY8yYMejSpUuj96ekpaWxcuVKLFq0CLNmzUJoaCiqq6sxceJEnDlzBgUFBTA1Na33i1qzZs1w9OhRGBoaomvXruJ92z/GHDp0KPr27fuv0fccPnw40tLScPHixTc3BtC3b19cvHjxtWIBEt4Pkj2+JoKuri4uX74MgUAACwuLD23O2yErC3zyCXD2LJCdDSgp1WR7vg6hEHj6FHByApYuhbOnJ/r27Qs/Pz8cP34c1dXVSOrZEzpPn+JJcTEeZWdDQVERJcXFKC0rw6+VlbCWloZscTHyhEJsEomgAsBaSwstW7ZEdk4OZMvLoevlhW0PHuB5VRWkFRVr6gZ/V1hRVFSEmZkZpkyZgi+++AKOaWnQUVREtYwMXr16heKiIlT/Lpt2TSjErupqnABwQU4Or0QiaL56BQs1NRgYGOD+gwcgCVWRCFIeHjVfAhqgdevWGDNmDICa4vGdO3fC3t4eISEh8PHxwc6dOzF//nwIBAJ4enq+sd7MwsICN27cQKdOnZCcnCw+TWL79u1YtGgRWrVqhV27dmHdunXQ19dvdD2ara0tevfujfXr1+O7775D586dYWdnh9DQUOzYsQMrV66ESCRCp06davWTlpZGv3798PjxY8yePRt2dnYwMzMDUJPlKiUlhRkzZvwr9D1lZWVhYmKC1atXo1u3bmKh8dchLy8Pkvj1118/ikOl/61IHF8TwsDAABs2bICvr+//3l6fkhLg4wPk5ACpqUBJCSAjU7vGr6yspu6vvBzo1w/46itASQmamprQ1dWFhYUFHBwcIC8SISI3F1qmptDW1YWUlBRKSkpQLRSisLAQZ4RCtCZRIhAgUSSCDwAHObkakevfU+elpaRgXFkJpZEjIRQKkZ+fD5KoqqqCmpoahEIhcnNzsXfvXqxfvx4dBQIoFhZCXk1NLAFWUlyMvKoqbJeRQbyHB6ba2aGnmhrOvXoFMwUFKBQU4OmTJ9DW1kZpSQmqi4og7+MDWTu7N74uKSkpuLu7Y8yYMcjKysLcuXORkpKCHj16ICwsDJaWlli1apU4UaUhByElJYX8/Hzo6+tj1qxZ+Oabb1BaWoo2bdpg8+bNUFNTw+rVq5GcnIzExEScOHECfn5+UH7NXuKf0dTUxIgRI3D16lXExMTAwMAALi4uCAkJQUZGBtavX49ffvkFw4cPr+WgpaSk0KVLFygqKmL69Olo1qwZnJ2dAQAeHh7Q0dH51+h7tmjRAjk5Obhy5Qo8PDze2N7MzAybN2+Gs7OzWIFIwvtF4viaENra2khNTUVxcTGsrKw+tDlvj7w80KUL0Ls3oKYG3LwJPH9e4+iKimqJuewWAAAgAElEQVSSX8aOBebOBXr0qIkU/wtzc3P0atMGUklJkFJXh6KCQs0Brrq6kJOXh6CqCqfKy4HKShwj0Q+AlZwcpKWkoKysDEVFRSgoKkIkIwP5vDyEXLyIjMxMSP1+X0FBAdra2pCTk4O6ujo6deqEvXv3wlVHB5p370LT0BAaGhrQ1dWFiYkJymRkcOjZM5g8fQqZqiqkKynhXHk5PLW1YSAjAzlZWbx8+RIlxcVQFImwsbwclt7ejUqWAGoijs6dOyMgIABnz55FbGwsMjIyEBwcjIiICJSVlSEuLg5HjhyBi4vLa0/0UFRUxE8//YTAwEBkZWXB19cX+/btg56eHioqKpCQkIDZs2ejdevW4uivZcuWYmfUENLS0vDz80PLli0RHR2Ne/fuoWfPnhgwYAD09fWxceNGbNy4EQEBAWIBgT9wc3ODlZUVoqKiUFBQII4OHR0d0bp1a0ybNg0yMjKNcjh/J3+cWm9sbIyW9ZSl/BlZWVnIyMggOTkZHTt2/IcsbGJQQpPi/v37HD58OMvLyz+0KX8dkYgsLSXz88myspqfG8OdO6SnJ+nvX+dPVY8eHNSsGT8BOALgPoAHZWSYoqnJu9bWzHVz4/N27Vj0ySescnZm6dOnTElJ4dSpU9m2bVva29tz9OjRdHd3548//kihUFgzZ04O6e5O+vrWmfN7Z2f209ZmdwUFTpaT4yh1df7s7Eyhnx/zPDx4zdCQN7S1eUxDgwb6+nRycmJKSso7vbLU1FT27t2bZmZmnDdvHisrK1lQUMDQ0FAaGxtzwoQJLCgoqNNPKBRy+PDhzMnJ4aZNm5iUlMTi4mKGhITQ2NiYAwYMoKWlJXv37s0TJ07Q2tqa8vLy7NSpE/Pz8xttX2ZmJj09PdmhQwdmZWWRJG/dukVtbW0qKytz//799fa7fv06bW1tGRwcTIFAIL5++vRpmpubMzY29i3f1Pvn0qVLHDVqVKP+71VWVnLkyJG8c+fOP2BZ00NSztAEWbRoESwsLDBgwIAPbcqHISsLGDIEeE10M/r6dQQ0b44dOTnQFwrRjUSVQICqqio009CAkbExdHV0IPX0KXDuXE0kCqCwsBBnz56FoaEhdHR06n6znzixJiuzgfT/wqIiZN69i4KCAmhpa8PSwgKqqqoozszEKnV1LLh1C0KhEAKBAJqammjTpg327t1bK3GnMRw/fhxffPEFCgsLMXXqVIwYMQIZGRmYNm0a7ty5g5CQEEyePLlWWcH69evRvHlzGBsbY+/evYiLiwMA/Pbbb4iIiEB1dTVatGiB9PR0TJw4EXl5eVixYgXk5OSwYsUKjBw5slG2VVVVITw8HCdPnsSSJUvE6izt27fHzZs3MWnSJCxevLhOv6dPn6J///5QVVXFzp07xSfap6amYtCgQejWrRtWrFhRb6nEP8WKFSugpKSE8ePHv7Ht4cOHcebMGcybN+8fsKxpIcnqbIIEBATgp59+eu0RMR892to1f/9egF5vExUVLHVxwUs1NaS2aAETY2M009BAZVUVbt68ifO//IJ7BQV4/ifFEA0NDfj4+MDe3r7+5awxY2rmbEBiS0NdHW5ubmjXrh1kpKXx24ULuHP2LKo0NFDWrp1YhEBWVhYFBQU4deoUYmJi3lrdv0uXLkhJScH06dOxdOlSeHl5ITs7G/v378eqVauwbds2uLu7Y//+/eI+fxxVZGtri/T0dLEyjIeHB86fP4++ffsiLS0NNjY22LhxI86dO4ddu3ZBX18f48ePR6dOnRqV+SkvL4+vv/4aMTExmDx5MqZOnQp5eXlcuXIFo0ePxooVK+Dl5VUnQ7lly5Y4fvw4lJSU0LlzZ2RlZQGoWWY8ePDgv0Lfc8yYMTh79qz45IqG6Nq1K54+ffqvKc/4mJA4viaIoaEh3Nzcmu45YKqqQNeuNYkwDaAiK4t5Vla4UVaGFBkZuLm5wdrKCvp6emgmJYVNpaUwNzeHk5MTAgICMHr0aERERLx+QAeHGsWUgoKafcmG5lZRgZOTEzra2UFORQV9c3KwYtMmPHr0CHJycpCSkgJJyMnJYf369bC1tUV0dHSj9SGBmr21ESNG4MqVK/D398eECRPg5+cnlhALDAzEpEmT4Ofnh7S0NNjZ2SE/Px8lJSUwNDREenp6rbG++OILcdasSCSCoqIiJkyYgMGDB2PmzJm4ePEizM3N8d133zXKvqCgIBw6dAgpKSno0qULcnNzsWHDBiQmJuLKlSswMDCoox2qpKSEn376CR4eHujevbtYp9bU1BTHfj+Bol+/fh9M31NVVRWhoaFYtWpVrZM26uOP48W2bt36vys5+C9FstTZRHny5AmmTp2KjRs3NjpR4qPi5k1g1CigRYs6UmhvRChEZU4O+srK4vCVK7Vu6ejo4O7du2j2+8G59ZKcXOMABYKaA3b/dIQQgJoaxD8kxnR1gbVrUaKjg5CQECQlJYkjFgsLC8TExODLL7/Eo0ePoKWlBRkZGQwYMECsr/k2vHr1CnPmzBGfJL5gwQIoKipi1qxZOHjwIHx9fWFiYgJLS0sUFRVBVlYWgYGB9Y61efNmLFy4EAYGBigoKICysjJmzJiB2bNnIzMzE56enti1a1ejVF8qKioQGhqK06dPY9myZfD398fDhw/h4eGBoqIifP/99xg0aFCdfosXL8a6deuwZMkS8bJ+UVER+vbtCwD4+eef6yTL/FMsXrwY2tra4nMPX4dIJEJYWBjGjh0LV1fXf8i6jx9JxNdE0dPTQ/v27Wup3jcp7O0BK6s3Rn31kp8PBT8/HLx0Cd27d69VGlJaWgobGxsEBga+voi6a1dg1y5g9Gigurqm0P7Jk5pSjadPa35u3rzGOf74I2BiAlVVVSQkJKBfv37Q1dUFADx79gz37t3D9evXsXjxYggEAhQVFWHv3r1wcXHB5MmTxeomjaFZs2ZYvXo1jh8/jpKSErRr1w7x8fFYsmQJDh06hKysLKxevRorV66EnZ0dbt68+dqxRo8ejXPnzsHAwADFxcVQV1fHxIkT0b17d8yYMQOXLl1qdPSnqKiIb7/9FtHR0YiIiMDMmTNhZGSEnJwcuLi4ICAgABMmTKjTb/r06Vi8eDGmTZuGZcuWAQDU1dVx8OBBqKmpoWvXrm/1ft4n48aNw8mTJ2tFzfUhLS2NwMDA/22h+X8jHzCxRsIHJi8vj8OGDeOrV68+tCkfhtxcsmtXsn37ejM86/zx8yPbtiUHDCCLikiSVVVV9PDwoIKCApWUlGhvb08lJSVqaGhQS0uLbm5uXLp0KYuLi+u3obKSTEkhf/qJ3LaN/Pln8ubN12aoXrx4ka6urjx06BAjIiKora3NVq1aMSYmhtnZ2RwyZAhNTU3ZsmVLmpub09DQkKGhoXzy5Mlbv56zZ8/y008/pZWVFdeuXUuhUMg9e/ZQU1OT9vb29PLyYkVFxRvHOXjwIB0cHNimTRu6urrSycmJW7dupZ2dHeXl5dmhQ4dGZ36mpqbSzc2NXbp0ET/T1KlTKSsrSxcXl3ozJs+fP09LS0tGRESIs2yFQiEDAwPp6OjI+/fvv8VbeX/8+uuvDAkJYVVVVYPtRCIRIyMjee7cuX/Iso8fieNr4mzcuJHffPPNhzbjw/HgAenjQ7q5kd26vd7pde5MurqSAQE15RN/4tWrV2zdujWDgoJI1pSMDBs2jFpaWlRSUqKWlhb19PQ4YsQIXrx48S+ZKxKJePPmTYp+d4z37t2jj48PLSwsaGxszMjISC5evJi9evVip06dqK+vTzMzM7Zq1Yrjx4/n48eP33rOHTt20NnZmW5ubty7dy+XL1/Ozz77jM2aNaO3tzfT0tLeOEZ5eTknT55MIyMjdu7cmUZGRvzss884Z84cKisrU11dnd9++22j7CkvL2dwcDAtLS159OhRkuT+/fuprKxMbW3teksA7t+/T1dXV/bt21fsHIVCISMiImhtbc2bN2++xRt5P4hEIsbFxfH7779/Y9sLFy4wLCzs/8tjJPwlJI6vifPixQsOGzaMz58//9CmfDhevCDXrCE7diTbtKmp8evQgfT2Jj08aurvunUjv/uupm6wHioqKup8c6+urub69etpZ2dHRUVFamhoUFNTk56enly7du17q6WsrKzkxo0b6evry06dOtHY2Jg+Pj7s3bs3N23axL59+1JPT49mZmY0MDDg6NGjxTVyjUUoFHLZsmW0tLRk27ZtGRwczA0bNrBz5840NjZmSEhIvfV//83ly5fZvn172tnZ0d3dndbW1ly/fj0dHBwoLy9Pb2/vRkd/GzZsoImJCWfPnk2hUMgnT57QwMCACgoK3Lx5c532BQUF7NKlC9u3b89nz56Jr8fExNDc3JynT59u/At5T7x48YKBgYG8d+9eg+1EIhGnTp3KX3755R+y7ONG4vgk8Ntvv+W6des+tBkfnvJy8uhRMjqanDCBDA0lv/iCPH2a/FNR9LuQnp7OQYMGiaNATU1N6uvrc+zYse8t2rhy5QpHjBjB2NhYDh06lHp6ejQxMeHcuXN5/fp1Dho0iC1btqSpqSn19fUZHBzMzMzMt5qjuLiYkydPprKyMjt37syxY8fy9u3b9PX1pbm5OZcuXfrGqEQoFDI+Pp4mJib09vamqakpBw4cyM8///yto7/r16/TxcWF3bt357NnzygUCtmlSxfKysoyMDCwTnuBQMDhw4fTzs6Oqamp4uurVq2iqakpDxw48Fbv432QnJzMiIiIWoX39XHt2jWOGzeO1dXV/5BlHy8SxyeBhYWFHDZsWK1vwTU0UglFQqOprKzkypUraWNjQ0VFRaqrq7NZs2bs0KEDv/nmG1ZWVv6l8YuKirhgwQKGhYXx9OnTHD16NNXV1Wlubs59+/bxzp07HD58uNgp6unpMTAw8K0VQubMmcNPPvmEysrKDA8PZ2FhIfft20dXV1e6ubnx4MGDbxwjKyuLfn5+NDc3p4eHB83NzRkfH09HR0fKyck1OvorLS3lsGHDaG1tzePHj5MkY2NjKScnR1tb23r3V2fPnk0zMzPxUilJbt26lSYmJkxMTHyLN/HXEYlEjImJ4fbt29/YdtasWbVslvBuSByfBJI1/+nXrFlC8iDJIJJeJF1JticZQPIAybIPZ+BHyPXr19m3b182a9ZMHAW2atWKoaGhf0mqSiQS8fjx4wwICODu3buZl5dHHx8fqqmp0d3dnTt27OD9+/c5ZswYGhgY0MjIiC1btuSQIUNqRUENcf78eUZHR3PUqFH09PSkhYUF4+PjWVlZySVLltDc3Jx+fn6Neo6tW7fS0tKSbdq0oZmZGXv27Mno6GgqKytTTU2t0dHf2rVraWJiwtjYWAqFQp46dYqqqqrU0NDg1atX67T/5ptvaGJiUmuPe9++fTQxMeHq1asbNef7Ij8/nwEBAW9cgr59+zZHjRr1xoQYCQ0jcXwSSApYUbGKaWnNWVnpRLIDyZ4k/X7/uwPJNiS9Sa4j+deW/STUpqysjIsXL2br1q2ppKREdXV1ampq8tNPP+XWrVvfuAT2Op4+fcoZM2Zw1qxZzM/P59GjR+nk5ERjY2O6ublx48aNzM7OZmhoKA0MDGhoaMiWLVtywIABvH79eoNjV1ZWcsiQIdy8eTM3b97MAwcO0N3dnY6Ojty+fTsLCgo4YcKERu//FRQUcOTIkTQyMqK7uzuNjY35+eef08nJiXJycvTy8mpU9Hf58mU6OjrSx8eHL1684IsXL2hqakp5eXmuWrWqTvujR4/SzMyMs2bNEl9LSUn5IPqehw4d4uTJk9+4lBkbG/tazVIJjUPi+Jo8FSQnkXTlkycOzMy0Ien/mj/dWRMFTiT5EYhc/8sQiUS8cOEC/f39xVFgs2bNaGRkxMmTJ/Phw4dvPaZQKOSOHTsYGBjIU6dO8f79+xw1ahSHDx9OFxcX2tractGiRczOzuaUKVPYqlUrtmrVii1atGDfvn0bzEKNj4/nhg0bOHHiRPFcGzZsoLW1NTt27MiUlBTeunWLvr6+tLCwaNT+3/Hjx+ns7Ew7OztaWlqyQ4cOnDZtmjj6a0wGcnFxMQcNGkRra2v+8ssvFAqF7NWrF2VkZNivX786NqSmptLOzo6BgYHiLxnXr1+ntbU1IyMj/7FMSpFIxFmzZnH37t0Ntrt79y6Dg4MbVUoioX4kjq9JIyQ5kzXOzI/V1T68fNmAZWVd+Hrn5/d7++kkJZvsfxdFRUWMi4ujubl5rSiwe/fu3LFjx1v/Ms7MzGRISAjj4+OZm5vLOXPmMDo6mgkJCfT29qaFhQWjo6P54MEDRkdH08jIiAYGBtTV1aW/vz/Pnz9fZ8wzZ85w1qxZHDRoUK19tPLycs6ePZsmJibs168fMzIy3mr/r7KyklFRUTQyMqKrqysNDQ0ZERFBZ2dnysnJsV27do2K/pYvX05jY2PGxcVRKBRyyZIllJOTo7m5OQsLC2u1ffbsGdu3b88uXbqIo9P79+/TwcGBwcHB/5jze/LkCYcNG/bGspP58+e/0UFKeD0Sx9ekOUHSjaQvSX+OGmXIo0dtmZFhzdc7Pv/f27uSTP4gVjclRCIRf/31V/bo0YPNmjWjsrIyNTQ0aGZmxhkzZjAnJ6fRY/1R9jBy5EhevXqV3333HUeNGsXMzEwmJyezZ8+eNDExEe8xzp07l2ZmZtTX12fz5s3Zo0ePWschVVRUcPDgwZwxY0a9xdXPnj3jmDFjaGxszPHjxzM/P5+LFy9u9P7fzZs3+cknn9DCwoKtW7emm5sbJ06cSGVlZaqqqnLTpk1vfOYLFy7QwcGBvXv3ZkFBAX/77Teqq6tTTU2tTvlCeXk5+/btSxcXF3FR+7Nnz+ju7s7evXv/Y0d5/fzzz5wxY4a4VrM+srKyGBgYyLIyyb77uyCRLGvSfA9AEX9WrtPS0kJJSQlKS0sb6CcNQBlAwt9rngRISUmhQ4cOOHz4MO7du4epU6dCU1MTT548wYYNG2Bvbw9/f3/s27fvjacOyMvLY9y4cYiIiMCKFSsgFAoRHByML774AtLS0jh06BB27NiBvLw8dO/eHXfv3sWuXbswceJEaGho4Pr16+jfvz+6deuGU6dOQUFBAS4uLpCXl8eNGzfqzKerq4tNmzbh0KFDePLkCTw8PFBaWorTp0/D0NBQfBr864S17e3tceLECURGRkIgEEAgEGDXrl0YPHgwLC0tERoaivbt2zd44oO7uztOnz4NGRkZeHl5QSgUIjs7G/r6+mI90j9QVFTErl270KFDB/To0QPnzp2Drq4ukpOTUVRUBD8/v7c+BeNd8Pf3B8laJ2P8N0ZGRnBxccHevXv/dns+Sj6055XwochkTcKKH0l/Ll1qy169WrB//5b099fkqlV6XLDAmkFBBhw8WI8zZ5ozK+vPS6B+v/fP+HCP0ESprq7msWPH2KVLF2poaIijQAsLC86ZM6eespS6FBYWcv78+QwPD2dKSgrHjh3LjRs3ive4MjMz+dlnn9HIyIh9+vRhSkoKV61aRRsbG+rq6lJHR4effvoplyxZwvDwcIaHh79xzpMnT9LLy4s2Njb85ptveOPGDbHqzPLlyxtcTszJyWH//v1pZGREa2tr2tvbc8KECVRRUWl09BcfH09jY2PGx8eTJIcOHUpZWVl27969ztxLly6liYkJf/zxR5I10aC/vz89PDwa9X7/Ko8fP+awYcP49OnT17bJzc3lsGHDWPS7fJ6ExiNxfE2WzaxZrvz/JcxRowx59WoHCoW+vHrVkHv3OrKszIdVVb78+msHRkSYsPaSpxvJjR/sCSTU7AnNnDmTxsbGtfYC+/bty6NHjzboTEQiEZOTkxkQEMBt27YxJiaGUVFRtTIwnzx5wkmTJtHExIRdunThgQMH+PXXX9PBwYHNmzentrY2dXR06OXl1SjNV6FQyK1bt9Le3p6enp48evQof/75Z7q4uDRq/2/Hjh20srKitbU1W7VqxcGDB9PFxYVycnL09PR8497f6dOnaWtry379+rGwsJCbNm2ivLw8DQ0N+eLFi1ptd+/eTRMTE7Gj/EPf08nJ6Z0Sjd6WnTt3ctasWQ0uea5atYoJCQl/uy0fGxLH12T5imRb1uf4SH/m5Xnw+nUjlpd3o0jkz5KSnvT312VJSc8/9fEg+eUHewIJ/09VVRX379/PTz75RJwRqqamRmtra86bN6/BcoInT55w+vTpjI6O5vr16zly5EhmZNSO5IuKihgTE0NLS0t6enoyISGBCQkJdHV1pbKyMhUUFGhvb9/ohIvKykrOnz+fZmZm9PX15fXr1xkfH08zMzP6+/s3uP9XXFzM8ePHs1WrVrSysqKFhQVHjRoljv6+/vrrBucuKChg79696eDgwAsXLjA1NZWamppUUVHhkSNHarX97bff2Lp1a4aEhFAoFNbS92xszeO7Ul1dzcmTJ/Pw4cOvbdPkhebfEYnja7LMZY3jqt/xCQS+nDtXi/36qbBbNyX6+amxWzcN3r3bnkKh3+99PEnO/nCPIKFesrKyOHnyZBoaGoodoJaWFgcPHvxarUehUMikpCQGBgZy3bp1DAwMrFchpKKigsuXL6eDgwMdHR25YsUKzp49m9ra2lRRUaG2tra4SL4xmZAFBQWMiIigsbExR4wYwdu3b3P8+PE0NjZmaGhonezLP5OSkkI3NzexCHfPnj3FmZ8eHh4NRn9CoZDz58+nsbExly9fztLSUjo6OlJWVpbR0dF13qebmxt79+7N0t+1WufMmUMLCwueOXPmjc/4V3j48CEDAgIafJaNGzc2aqlXwv8jcXxNltWsWaqs3/GdOOHJCROM+eRJN5aXd+XDh+7s3FmNx4+34sWLekxLs2B+vikfPZrCkpKSD/okEuqnvLycu3btYvv27cUZoerq6rSzs2N8fHy9Ul53797l+PHj+fnnn3PUqFFct25dvQX0QqGQ3333Hdu2bUtLS0taWlqyc+fO7NixI7W1tamtrU1XV1f+5z//aZQDvH//PgcNGkQTExPOmDGDFy9ebNT+n0AgYExMDA0NDdm6dWuamppyyJAh4uhv/fr1Dc6bkpJCGxsbcUnGmDFjKCsry44dO9aas7CwkN27d6enpydzc3NJkitWrKCpqWmj5Nn+Ctu2bWNsbOxrlzxfvnzJYcOGNVrcW4LE8TVhzpJ0558d39SpZjx0qGb588ABd0ZEmLC01Ifl5T5ct86e/v66zM3tSoHAhwUFHZifb8r16wM5cOBAhoeHc926dTx16hSfPXvW4L6EhH8WkUjE9PR0hoWFsVWrVrWiwICAgDo1ehUVFVy/fj2HDx/O8PBwTp8+vc7+15/Zu3cvjY2NqaioyJCQEO7evZtdu3allpYWtbW16ejoyO+++65RDvD8+fP89NNP2bp1a65atYp79uxp1P7fnTt32KVLFxoaGtLQ0JAdO3akk5MTZWVl2bZt2wadwosXL+jr60tHR0devnyZiYmJVFBQoJ6eHrOzs8XthEIhR44cSRsbG7GyTUJCAk1MTPjDDz+88dneFYFAwIiICJ44ceK1bbZs2cK1a9f+bTZ8bEgcX5OlmmQPkp35h+M7f96LI0e24pAh+ty+3ZXz5llx4EA9fvaZIY8f9xQ7vpr2XUh2IymgQCBgeno6f/rpJ86fP59BQUEcMWIEFy1axJ9//pmZmZkSRfl/CcXFxfzPf/7Dtm3bUlNTk0pKSlRVVaWzszNXrVolXsojyUuXLnH48OEcN24chw8f3uC5e8eOHaO7uzs7eLWjo3UrTg4J4E87ttLX10fsAO3s7Lhp06ZGOcCdO3fSxcWFrq6u3Llzp3j/r1evXq/d//tDOcbMzIzm5uZs1aoV+/TpQxUVFaqoqDQY/QmFQsbGxtLExIRr167l/fv32bx5cyopKXHPnj212sbExNDMzEzsiP/Q9/w7HU9mZiYDAwP58uXLeu8XFRVx2LBh73TgcFNEipScZ990SQSwAoDeO/R9AiACwIg6d0ji6dOnuH37NtLS0nD79m08f/4cVlZWsLGxga2tLaysrKCkpPTXzJfwzpDEzZs3sXr1ahw+fBgvXryAjIwMFBUV4e/vj4kTJ8LZ2RlFRUVYvXo1rl+/DoFAgPHjx6Nnz57/PRhKn1zBD4v6w88FaKahjtzcJygtLUaVjA7K9QZj/U93cfTEOQA19X0RERGYMGECpKVfX0osEomwevVqrF27FkZGRvj888+RlJSEw4cPo1evXvjqq6+grq5ep19eXh4mTpyIX3/9FTIyMmjRogWqqqpw+/ZtuLi44ODBg9DR0al3zhMnTiAsLAzOzs7YuHEjunfvjsuXLyM0NBQrV64Ut0tISEBsbCyioqIwfvx4nD59GiNHjsSIESMwZ86cd/hE3szWrVuRnZ2N6OhoSElJ1bn/ww8/IC8vD5MmTfpb5v+YkDi+Jk0RgCAA+QDq/0VQPy8AaKPGcWo0qkdxcTHu3Lkjdob37t2Dvr4+bG1tYWtrCxsbm9f+MpLw91JQUIA9e/ZgzZo1ePDgASoqKiAjIwNra2uMGTMGwcHBOH36NNatW4eKigr4+vpiwoQJkJOTA0qzgeuzgKI7yHr0CPlFIrRp4wkAKC8rw6OHaagofgF5RWW8aNYHaw6V49ixZAA1YgmRkZEICQmBrKzsa+0rKSnBl19+iR9//BHt2rXDqFGjsGzZMmRmZiI8PBwRERH1OtD9+/dj5syZKC0tRVVVFZycnHD69GmQxOLFixESElLvfHl5eRg+fDjy8vKQkJCALVu2YM2aNXB2dsa5c+fEtp44cQLjxo3DoEGD8NVXX+HGjRsYOnQofHx8sHTp0gad+rtQVVWFSZMmISAgAN7e3nXul5aWYvz48ViwYAEMDQ3f69wfGxLH1+R5DGAUgGI0zvk9B6AKYDMAo3eeVSAQ4N69e0hLS8OtW7eQlpYGBYvcggUAACAASURBVAUF2NjYwM7ODjY2NjA2Nn7vvzwkvB6RSITLly9j7dq1OH78uDgKVFJSQr9+/RAYGIiffvoJ165dg62tLeJmBkMzIwoQlgPyOsh7no87d+7Aw8MDCvIK4nGrBFW4n5kBQUkurjxtiXKLGThz9jwOHToEkUgETU1NhIWFITw8HPLy8q+1Lzc3F9HR0fjll1/Qp08ftGvXDosWLYKMjAzmzZsHHx+fOn3KysoQFRWFnTt3QlpaGpqamiCJ9PR0ODs749ChQ/V+4RKJRIiJiUFiYiKio6Ohp6eHIUOGQEVFBefOnYOFhQUA4M6dOxg8eDDs7OyQkJCA7Oxs9OvXDy4uLtiyZct7//ebnp6Or776CqtXr4aGRt0vnTt37sS9e/cwc+bM9zrvx4bE8UkA8BTAJAD3USNHpgVA5k/3RQBeAhACMMW7L4++HpLIzc2ttTz66tWrWsujrVu3hqKi4nudV0L95OXlYefOnfj666+RnZ2N8vJyyMjIwNbWFq6ursi9dxkx3e/BytIYKhoGAABBtQBnz56FjY0NdJvr1hlTWC1AXvZNJPwiwM5UIwwZMgTp6enYu3cvhEIh1NXVMWHCBEyaNKnBz/natWuIjo7G3bt3MWbMGADApk2bYG9vj/j4eFhZWdXpc+nSJYSHhyM7OxsikQjW1ta4dOkSSCI+Ph6hoaH1znXkyBFERETA09MTsbGx8Pb2xsuXL7Fp0yYMHz4cAJCfn4/+/ftDTk4Ou3fvRkVFBXr37g0DAwMkJSU16Mzfhc2bN+Ply5eYPn16nXsVFRUYN24cYmNjYWZm9l7n/ZiQOD4Jv0MAVwD8ACAFgOzv16RQ4/C8AAwD4IY/a3v+nRQWFtZaHr1//z6MjIxgY2MjdoZaWlr/iC0fO8ePH8eRI0cQHx9f63p1dTXOnTuHdevW4cyZM3j+/DmkpaUR21+EbvZCFJTLw8rKCi1b6kEKwOUrV6CgIA97O/v6JxIJIarMx7ZHvbB04x5UVVVhwIABeP78OXbs2IHq6mqoqKhg/PjxmDJlCpSVlV9r86FDhxATE4OKigqEh4fjypUrOHz4MHr37o24uLg6+38ikQiLFi3C2rVrAdRoc8rLy+Pu3btwcnLC4cOH643+nj59iqCgILx69QpbtmxBZGQkTp8+jeDgYGzevBlAjcMJCgpCZmYmdu3aBR0dHfTp0weysrLYs2cPVFVV3+LTaJjKykpERERg9OjR8PDwqHN/3759uHbt2t+21/gxIHF8EurhOWqiwDIASqiJ7j78/ltVVRUyMzPFjjAtLQ3KysriPUJbW1sYGRnVu/EvoWFe5/j+THZ2Nnbu3Ild2zZhRd8MPC8SQSiqEdLW0WkONzc35Obm4uHDB/D27oDXfgoVzwCjgRBZT8OOHTuwevVqPHv2DL169YJQKERSUhIqKyuhrKyMsWPHYtq0aVBVVUViYiLOnz+P7OxsDBkyBAEBARCJRPjmm2+wfPly6OjoYMyYMdi+fXuD+38PHjxAWFgYrly5ApIwNTVFamqqOPoLCwurY7JIJMKsWbOQlJSE2bNnIysrCwsXLoSVlRV+++03KCsrQyQSYerUqThw4AC+/fZbtGnTBgMHDsSLFy+wd+9e6OrWjYLfldTUVCxevBhr166t41Srqqowfvx4REVF1Rv9SpA4Pgn/w5DE48ePxUujt2/fRlFREaytrcVJM5aWllBQUHjzYE2cxji+P6jK2ILyawtxN7sIr169QmVlJUQiQlpaCvr6Bnj+/Dm8vbxen7UrEgDVRUDnY4CsCgDg2LFjWLJkCTIyMtCjRw8oKirixx9/RFlZGZSUlPDZZ5/B09MTBgYGOHToEMzMzBAQECAesqKiAgsXLsT3338PJycndOvWDZs2bYKsrCzmzZtXNxMVNZmZc+fORUVFBeTk5KCgoIAHDx7A0dERR44cqTf6O3jwICZNmgQvLy8MGTIEAwcOhLy8PFJSUmBnZwcAWL16NZYtW4YFCxZg8ODBCAoKwu3bt/Hzzz/DyOjd98X/m/Xr16OqqgoTJ06sc+/w4cM4c+YM5s2b997m+5iQOD4JHxWvXr2qFRE+fPgQxsbGtaLCZs2afWgzPyjPnz/H119/jVu3boEkOnbsCEtLSxw5cgTW1tY4evQoVFRUEBoaCjc3NwBAcnIydu3ahefPn0Oj4ioGtlNCz/YmKCktxamLD7Bmz2O4Glfj7F1AWgro76kACzMz7D5fiuKyavTzbonBn+oDADKyS/D13jt4LLSDvJo+2rdvjzFjxkBWVhaXLl3CggULcOnSJXh7e0NXVxc7d+5EcXExFBQUEBwcDA0NjTqO7w/y8vIwe/ZsHD16FN27d4eenh4SExNhb2+PJUuWwNLSslb7V69eITIyEkeOHAFJ6OvrIzMzEySxcOFCRERE1JkjNzcXgYGBKC0txerVqzF48GA8ffoUK1euxIQJEwAAe/fuxaRJkzBu3DjMnDkTEREROHHiBHbu3Cl2kH+V8vJyhIeHIywsDK6urrXuVVdXIyQkBJGRkXBwcHgv831U/DPlghIkfBgqKip48+ZNJiUlMTY2lkOGDOHYsWO5fPlyHj58mI8ePWpSKjNCoZDh4eHctGkTy8vLWVlZyVu3bjE5OZl9+vTh4cOHKRQKeeDAAQYHB4vfzYULF5ibm0uRSMSb33Zkf+/mzEz8lDzpzxubO7JXO12ujzRj8heqjB0AfmINjvpEivtmKDD5K2P28dLl013dyJP+vJv4Ke9scmD1owN89uwZJ0yYUKdIPD09nSNHjqSRkRF79+7NyMhIGhsbU11dncrKyuzZs2eDaix37txh3759aWpqyunTp3P06NE0NjZmREREvfqfR48epZ2dHXV1damnp0czMzPKysrSxcWl3nmEQiGnTJlCU1NTJiQk0NfXlzIyMhw6dKi4zcWLF2ltbc3x48dTKBRy9uzZtLCwqPfQ3nfl6tWr/Oyzz2oJD/zBiRMnOH369Cb177uxSByfhCaFSCTiw4cPeejQIS5dupSjR4/msGHDOHfuXO7YsYO3bt1iZWXlhzbzbyMtLY0BAQF1lHSSk5M5duxY8c8VFRX09/evXynkpC/njTTj3rg2YsfXv0NLCo/7UXTSn+nfONDLRp6HvjRh8hwlHpghzT5uUtwUqsFnP7al6KQfecidzKk5dWDPnj2Mi4ur196cnBxGRkaKj0UKDQ2ltrY2FRUVqaWlxfDw8AbPxzt58iS9vb1pY2PD2NhY9ujRgxYWFly1alUdBZny8nJOmzaNurq6bN68Oa2srKiiokJlZWWuWrWq3vH37NlDCwsLjh07lvPnz6ecnBwtLS3FOqhZWVls06YNfX19WVJSwuXLl793fc+VK1dy3bp1da4LhUKGhITw0qVL722ujwXJUqeEJs/Lly/F+4RpaWl49OgRTE1NxTWF1tbW9dZM/S9y+vRp7Nq1C8uXL691vb49vl69euHrr7+Gnp4eLl++jG3btiEnJwfMP4fK8hIM6GSIoG6tcPN+EZb+eB/fRTkDAIRCou+ci9g83QnNNeXx/PlzTF5zA/Z6lXA0kkJRhSwuZcnjMdwhkteGUCiEhYUFFi1a9Fq7CwsLsWTJEiQlJaGqqgrm5uZ4/PgxcnNzIScnh0GDBiEmJgb6+vp1+opEIvzwww+Ij4+HkpISevTogX379kFWVhZxcXHo0aNHrfbXrl1DWFgYMjIyICUlBRUVFTx+/Bj29vY4cuRInSSVR48eISgoCAKBANOmTcOoUaMA1CwPu7u7o6SkBIMGDUJBQQF2796NY8eOITY2FgsXLsSQIUPe7gOsh9LSUoSFhWHq1Kl1ljXPnDmDnTt3YtmyZZKkrz8hqQ6W0OTR0tKCl5cXxo4di2XLliExMRHDhw+HsrIyDh48iHHjxmHChAlYtWoVjh07VvPL/3/0+6KOjg7y8/MhFAob3UcgEGD+/Pno168ftm7diu0b58LNQgGNeQVSkEJznebQb6kHVxdXmJubY/+VaihIleBUynmUlpbCxcXlje9TQ0MD8+bNw40bN+Do6IiMjAwoKipi0KBBMDAwwA8//AA7OzuMGjUK2dnZtfpKS0sjKCgIV65cQb9+/fDDDz+gRYsW8PLyQmhoKPr06YO7d++K2zs7OyMlJQXR0dGQlZVFcXExWrVqhYyMDJiYmNSSLgMAIyMjnDp1Cm3btsWMGTOwYsUK8fhLliyBqqoqDhw4AHt7e3Tt2hVOTk5YuXIloqKisG7dukZ/Dq9DRUUFYWFhWL16NSoqKmrda9++PUQiEc6fP/+X5/mYkDg+CRL+C0VFRTg6OmLo0KGYO3cutm3bhpkzZ8LCwgLXr1/HnDlzEBQUhLi4OOzevRtpaWkQCAQf2uxG0bp1a2hqaiIhIQEVFRWoqqpCWlpag32qq6shEAigoaEBGRkZXM5rhav3ygGK3mpuOTlZWLVujebNdaBj1hFObbxx6tQpzJ07Fxs3bsSCBQtQWFjYoB3S0tLo0KED4uLiEB4ejhs3bqC6uhq9evWCsbExduzYAXt7ewQFBSErK6tWf1lZWURFReHSpUto3bo19uzZA3d3d6ipqaFbt26IjIxEcXExgBpnOWXKFFy4cAHt27dHUVERFBQUoKOjg2nTpsHZ2Rl5eXnisaWlpbFy5UosWrQIcXFx6Nq1K3r37o2oqCj4+/sDAL755hsEBARgwIABkJaWRkJCApYuXYq4uLi3eo/14e7uDisrKyQmJta6LiUlhaCgICQmJkIkervP62NGstQpQcI78Pz5c3Hm6K1bt5CTkwNzc3Nx9qiNjQ3U1NQ+tJn1kp+fj40bN+L27dsAgE6dOsHc3LzBpc4DBw5g27ZtqK6uRtu2bVH9aD/05B5iuJ9dg0udupo1pSQzNtyGj4cuPnXWRGr6I6y54IAXxdXQ09PD48ePkZycjOrqasjKyqJz586YOXMm2rVrV8vuFStW4Pjx47WuRUZGoqysDCtWrMCjR4/g4uKChw8fIj09HVJSUvD19cVXX30Fc3PzOu8hKysLM2fOxPnz59G5c2c8evQIWVlZiIyMRFhYWK36v6SkJERFRaGwsBCKioooLCwEScyfP7+OKPSDBw8QFBQEAOjZsyfi4uKgp6eHa9euoVmzZkhMTMScOXMwffp0tG/fHkOHDoWvry+WLFnylyTOiouLERYWhujoaNjY2Iivk8SMGTPg7++PTz755J3H/5iQOD4JEt4D5eXlSE9PF+8TpqenQ0dHR1xCYWtri5YtW348+yxlOcDZIEAkBOQbuf9Jkbh4HXZRtW6JRCIcP34cixcvxrlz5yAUCqGvr4/Q0FCMGzeuUconv/76K+Lj45GamgpHR0c8e/YMt27dgrS0NLp06YIFCxbA2tq6Tr8LFy5g1qxZePToEby9vXH58mUoKCjgq6++Qrdu3cTtioqKMGXKFOzevRsikQhKSkp4/vw5bG1tcezYsVp7f9XV1eIyibCwMMybNw8CgQD79u3Dp59+il9//RWjR49G3759MW7cOAwYMABubm7YvHnzX3J+Z86cwdatW7Fq1apaUmk3btzAmjVrsH79esjIyDQwQtNA4vgkSPgbEAqFePjwYS3tUaFQKHaENjY2MDc3b/BUgn89hWnAhQkABYCcFtCQUxdVA5V5QMtugFMcIP36587Ly8Pq1auxZcsWvHz5EnJycujevTuioqLEdYUNcePGDSxYsABnz56FlZUVSkpKcOPGDUhJSaFTp05YuHBhvbV0P/30E+Li4kASdnZ2OHv2LBwcHLB48eJa9X+//vorQkNDkZOTA1lZWZSWlgIA4uLiMGXKlFpjJiUlYdasWejevTtOnz6NO3fu4PPPP0dsbCzS09MxaNAgWFtbY8mSJRgwYABatWr1l/U9FyxYAH19fYwYUfvIsM8//xydOnWq5cybKhLHJ0HCPwBJ5Ofn11KZefr0KSwsLMSO0Nra+r1qOv4jlDwErkUBJfcAKWlAThuQ/lNEUV0KVBcDUjKA6XDAMqSmXT3cunULsbGx4p9J4tmzZ0hPT0dZWRlEIhEMDQ0RGRmJ0aNHv1GwPCsrC/Pnz8eRI0dgZGSE6upq3Lx5EyTh7e2NhQsXwtnZuVYfkUiEtWvXYvXq1WjZsiU0NTVx/fp19O7dG/Pnzxd/PtXV1YiJicHGjRshEAigoKCAgoIC2NjYIDk5uVb0d+/ePQQFBUFOTg4tW7bE7t278cknn+DYsWN4+fIlBg4cCAD49ttvMWrUqL+s71lQUICIiAjExMTUcthpaWlYvHgxNm7cWHOkVBNG4vgkSPhAlJaW1loezcjIQIsWLWpFhS1atPj3L4+SQGEqkJUEPD32+0WpmqVNxeaAaTCg17PxS6L1kJeXh5UrV2LLli0oKCiAvLw8/Pz88Pnnn79RCSU/Px/x8fHYvXs3dHR0IC0tLXaAHh4eiI+PR5s2bWr1KSsrw9y5c5GUlARra2uUlZXh6dOniIiIqLX/l5aWhrFjxyI1NRVSUlKorKwEScTFxWHq1Kni8aqqqhAeHo6TJ0/C398f69evh5aWFq5cuQItLS0EBQUhPT0diYmJiIqKwsuXL7Fv3753PqPy5MmT2L17N5YvX15rVWHu3Llwc3MTJ9w0Wf7JokEJEiS8HoFAwIyMDO7Zs4cLFixgcHAwg4ODuWDBAu7Zs4cZGRkUCAQf2syGqS4ny56SJY/IihekSPjmPm+BUCjkwYMH2alTJyorK1NRUZE2NjbctGnTG4UHiouLOW/ePFpbW9PR0ZEeHh5UVVWlsrIyvb29efbs2Tp9cnJyGBwcTGNjY/r6+tLOzo7u7u48evRoLZvWrl3LFi1aUFVVlZqampSRkaGDg0Od4vqtW7fS1NSUo0aNora2NpWUlLh//34KhUJOmzaNFhYWPH78OIcOHUpnZ2dmZWW903sSiUScO3cuf/jhh1rXMzMzGRwczIqKinca92NB4vgkSPiXIhKJ+OTJE544cYJr1qxhaGgoBw4cyFmzZjExMZGXL19mSUnJhzbzg/Hs2TNGRUVRT0+PCgoKbNasGUeMGMGMjIwG+wkEAq5du5ZOTk60srKiu7s7VVVVqaSkRA8PD/7yyy91+ly/fp0+Pj40MzNjjx49aGpqyj59+jAzM1Pc5smTJ+zbty/V1NSoqqpKRUVFKioqcvHixbXGunPnDt3d3dmhQwc6OjpSVlaWU6dOJUmuXbuWJiYmTEhIYEhICG1sbJiamvpO7+f58+cMCAjggwcPal2fP38+d+3a9U5jfixIHJ8ECf9DFBcX8+LFi0xISGBUVBQHDhzI8PBwrlu3jqdOneKzZ8+anDbjH1Fghw4dxFGgvb09ExIS6siS/Xe/H374ge3bt6epqSldXV2ppqZGJSUluri4MDk5uU6fQ4cO0cPDgzY2NuzUqRMNDQ05ceJEsUQZSe7evZvGxsZUUVGhmpoaZWRkaGdnVyv6Ky8v52effUZLS0v6+/tTVlaWnp6eFAqF3LdvH01NTTlv3jyxvuf58+ff6d0cPXqUkyZNqiVR9+jRIwYGBtar79lUkOzxSZDwP0x1dTXu3btXK3tUTk5OXEtoZ2cHY2PjJpPCnpeXh6VLlyIhIQGvXr2CkpISBg4ciNmzZ8PY2Pi1/Q4dOoTly5cjPT0dWlpauH//PqqqqtC6dWssXLgQPj4+4rYikQhbtmzB0qVLoaioCBkZGRQWFiIyMhKhoaGQlpZGSUkJpk6diu3bt0MgEEAoFEJaWhpffvllrZPTt2zZgi+//BLOzs44fPgw1NTUcOHCBbx69QrDhg2Dl5cXrK2tsW7dOqxfv76OvNqbIIkvvvgCTk5O4iQaAFi2bBn09fUxdOjQtxrvo+EDO14JEiS8R0QiEXNzc5mcnMxVq1YxJCSEgwYN4uzZs/mf//yHV69eZVlZ2Yc282/njxMm2rdvTyUlJSoqKtLZ2ZlJSUkNRoHnz59nv3792KpVKzo4OFBdXV28j/jzzz/XalteXs7Y2FiamprS3d1dvGz65/2/8+fP087OjkpKSlRRUaGMjAxtbW1rRX+pqal0c3Ojl5cXmzdvTkVFRSYlJTEnJ4dt27Zlz549uWHDBpqYmHD79u1v/S6ePXvGYcOGMTs7W3wtNzeXw4YNY1FR0VuP9zEgcXwSJHzkFBUV8bff/q+9O42K6krXAPzWTMlUCgLFUEwFAgmJhIvpZWsSY5MsE5cddDmgSZyiONAORKLRaERsB8QBCIkGjXYvh0btGBPnZdISE4dus5QoglEcSiZBBCyKoqqo890fuZ6+1YrRVkTle/6pdc7ZZ/953d/Zw3HasGEDpaam0qBBg2jKlCm0evVq+v777+96vM/T4Nq1a5SSkkJdu3YlpVJJXbp0oUmTJlF5eXmr15SUlNC7775LAQEBFBUVRRqNhlQqFYWFhdH27dsdysk1NTWUlJREOp2O4uLiSKfT0VtvvSV+/7Pb7TR//nxyd3cnlUpFSqWSnJycaOnSpeI9zGYzvfvuu6TX6yk6OprkcjklJSWR0WikN954g+Li4igvL4+CgoLos88+u+8+2LVrF82YMcMh9HNycugvf/nLfd/racDBx1gHY7Va6ezZs7R9+3ZKT0+nxMREGj16NC1btox2795NFy9evOuo6El16/vZ7373O3HiSWxsLO3cubPV9y0vL6fk5GQKDAyksLAwMQCDg4Np8+bNDtfdOgNQp9NRTEwMBQQE0LRp08TvfxcuXKBevXqJI1CZTEaRkZEOo781a9ZQUFAQ9ezZk+RyOXXv3p3MZjMlJSVRREQErV69mkJCQlo9xqk1giDQzJkzHc49rK6upsTERKqrq7uvez0NOPgY6+AEQaCysjI6cOAArVq1ipKSkmjIkCE0b9482rJlCxUWFpLZbG7vZj5U165do6lTp5KnpycplUry9PSkadOmtXq2X11dHc2ePZtCQ0MpJCSENBoNKZVK0ul0tGHDBocALCgooN69e1NwcDBFRkaSXq+n3Nxc8Td5eXnk6elJKpWKFAoFqVQqWrRokXh9YWEhxcTEUGxsLKnVaurSpQuVlJTQokWLKDg4mFatWkXh4eGUkpJyX/9BKS8vp8TERKqoqBD/bs2aNZSXl3e/3ffE4+BjjN2mvr6ejh49SuvWraMZM2bQoEGDaPr06fT555/TDz/8QLW1te3dxIfi1igwLi5OHAX26NGD9u3bd8ffm81mysjIoKioKNLpdKTRaEihUJCfnx999tlnDkG0adMmio6OJr1eL34HvPX9r6amhhISEkitVpNCoSCpVEoRERFi8JpMJkpMTCS9Xi+WaL/44gvavHkzBQUF0dy5c+nZZ5+lUaNG3Vf4ffnll/Thhx+KpdobN25QYmLiU1/u/k8cfIyx32SxWOjMmTO0bds2SktLo2HDhtHYsWNp+fLltHfvXrp8+fITv4yisrKSJk+eTB4eHqRUKsnLy4tSU1PvWAq02+20du1aio2NJV9fX+rcuTMpFAry8fFxON3dZrPR0qVLKSQkhMLCwsjPz8/h+9+ePXsoICCAlEolyeVyUiqVDqO/3NxcCgwMJL1eTzKZjN5++206fPiweOr7Cy+8QAkJCb+5eP//tzslJcXhBPgNGzbQJ5988iBd98Th4GOM3TdBEMhgMNC+fftoxYoVNG7cOBo6dCh9/PHHlJ+fT6dPn35idwex2+20c+dOio2NJZVKRU5OTtSzZ887Lmy32+305Zdf0ssvv0ze3t5iAHbt2pUyMjLEnXYaGhpo2rRp5O/vT3q9nvz8/MTvf2azmSZMmEBqtZrkcjlJpVLq1q0bVVZWEhHRTz/9RM899xyFhYWRXC6nyMhIOn36ND3//PPUv39/6tWrF/Xt29dhLeHdGAwGGj58OFVXVxPRr5OfEhMTxed1BLyOjzH2UNTV1YlrCYuLi3HlyhUEBQWJawqjoqKg0Wjau5n3paqqCgsWLEB+fj6MRiM8PDwwduxYzJo167ZNpA8dOoRly5bhxIkTsNlsMBqNcHNzQ0pKClJTU6FUKmEwGDBz5kwUFBRAqVRCLpcjJSUFEyZMwKlTp/D222/jwoULEAQBMpkM8+bNw5w5c9DY2IgxY8bg+PHjqKmpgUKhwNdff420tDRYLBao1WqYzWbs3Lnznvb33Lp1q7gpuEQiwZYtW1BVVYXp06e3VVc+Xto7eRljT6fm5mb6+eefKT8/nz7++GMaOnQojRs3jlauXEn79u0jg8HwxJRHb43sunfvLo4CX3755TvuqHLy5EkaOnQoeXl5iSNAjUZDc+fOFScJ/fOf/6S+ffuSVqslrVZLcXFxdPDgQbLb7ZSeni6u+ZNIJBQeHi6OxlauXEn+/v7ifTMzM2nYsGEUHR1N/fr1o5iYmHva39Nms9GUKVPE3WkaGxtpxIgRZDAYHmKvPb44+Bhjj4QgCHTp0iXas2cPZWZm0pgxYygxMZHS0tJo27ZtVFRUdM/fqtpTZWUljR8/XpzYotVqKT09/baZrxcvXqT33nuPfHx8SKPRkFwuJ3d3d/rggw/E3+7YsYNiYmJIq9WSl5eX+P3vypUr4pIGiURCCoWCFixYQES/hmZ0dDT5+PiQTCajAQMG0MyZMyk0NJT69+9PkZGRdPbs2d98j9LSUhoxYoQ4UWnbtm20ZMmSh9xbjycOPsZYu6mtraXDhw/TmjVraNq0aTRo0CCaMWMGffHFF3Ts2DGqr69v7ya2ym630/bt2+nZZ58lpVJJarWa+vbtSydPnnT43a0F9P7+/uTu7k5yuZxcXV1pypQpZDKZyG63U3Z2NoWGhpKPjw95e3uL3/82bNhAGo2GJBIJSSQS0uv1VF5eTg0NDZSQkEDe3t4kl8spODiYVqxYQYGBgfTmm2/e8/6eGzdupPT0dBIEgcxmM73zzjtUWlraVl322ODgY4w9NsxmM506dYq2bNlCc+fOpSFDCe70TAAAD1ZJREFUhlBSUhJlZWXRgQMHqKys7LEsj5aXl9Po0aPFkZ2/vz8tXbrUYQRrNBopLS2NgoODxc2rO3XqJO7QYjKZaNasWeTr60ve3t4UFBREubm5VFtbS3/84x/F0Z9cLqf58+cTEVFGRgb5+PiQk5MTubi4UGZmJoWEhNBrr71GwcHBtH///ru222q10qRJk8SJO19//TWlpaW1XUc9Jjj4GGOPLbvdTqWlpbRr1y7KyMigUaNG0YgRIyg9PZ3+/ve/U3FxMVmt1vZupshut1N+fj4988wz4ijw9ddfdyg9WiwWys7OpsjISHJxcSGZTEZqtZpGjhxJdXV1VFlZSaNGjSJPT0/y8PCg2NhYOnjwIB08eJB8fHzE0V9oaCiVl5fTkSNHKCIiglxdXUkul1NycjJFRkbS73//ewoMDKT8/Py7tvncuXM0YsQIqq+vJ6vVSqNGjaKSkpK27qp2xbM6GWNPlOvXrzucRlFRUYGQkBBERUUhKioKERERcHV1be9moqKiArNmzcLOnTvR1NQEX19fpKSkYPLkyZDL5RAEAZs3bxZPhWhuboZCocBbb72F3NxcVFRU4IMPPsDx48dBRHjppZewePFiZGdnY926dbDZbJDL5Zg9ezamT5+OkSNHoqCgAEajEb169YLFYkFzczPq6uowe/ZsJCUltdrW9evXo7q6GjNnzsT+/ftx+PBhLFy48BH21iPWzsHLGGMPxGQy0cmTJ2njxo00Z84cGjx4ME2cOJFycnLo4MGDVFFR0a7l0Vvn/kVERJBCoaBOnTpR//796fz58+Jvdu/eTS+99JI4m1OpVNLAgQPp2rVrdODAAYqNjaXOnTuTh4cHTZ06lY4dO0Z6vZ4kEgkBoKCgILpy5QotWrSIPDw8SCaTkZ+fH8XHx1N4eDjpdDqHhfH/yWKx0Pjx4+nHH38km81G48aNo8LCwkfRPe2CR3yMsaeK3W7HpUuXxBHh2bNnIQgCoqKixDWFoaGhkMvlj7xtFRUVmDFjBnbt2gWz2YyAgACkpqYiKSkJUqkUx48fR3p6Og4dOoTm5mZIpVLEx8cjLy8Pe/fuxZ///GfcuHEDLi4umDVrFurr67Fw4UJYLBbIZDLMmTMH8fHxGDlyJMrKyiCTyfDqq6/izJkzEAQBQ4YMQWZm5h3bdvbsWSxduhSffPIJTpw4gb1792Lp0qWQSCSPuJfaHgcfY+ypRkSoqalxKI9WVVVBr9c7hKGzs/Mja5MgCNi0aRMWLlyIS5cuQalUIj4+HllZWdDpdCguLkZ6ejq++eYbmM1mSCQSvPLKK1i9ejU2bdqE3NxcmM1mBAUF4aOPPsKyZcvw008/gYgQGBiIb775BqmpqSgoKIDNZkPv3r1x/vx5SCQSxMfHY+3atZBKpbe16/PPP4fJZMLUqVORnJyMsWPHIjY29pH1y6PCwccY63BMJhNKSkrEIDx//jy8vb3FHWaioqLg5eX1SEY7ZWVleP/997F3716YzWYEBgZizpw5GDlyJCoqKpCeno6//e1vMJlMkEgk6NmzJ7KysvDpp59i27ZtsNvt6N27N/r06YP58+fDZDJBKpVi5syZUKlUyMzMRFNTE8LCwmA0GiGVStGjRw9s2bIFSqXSoS3Nzc1ITk7GhAkTYLVasXXrVqxcufKpG/Vx8DHGOryWlhZcunRJLI0WFxdDIpE4jAhDQkIgk8narA2CIGDDhg1YvHgxLl++DCcnJ/Tr1w9ZWVlQq9VYvHgx8vLycPPmTQBAbGwsFi5ciKysLBQUFEAqlSIxMRGlpaX49ttvQUTw8/PD8uXLkZKSgqqqKri7u8PV1RU2mw1RUVH46quvbtt6rbCwEKtWrUJOTg7mzJmDoUOHomfPnm323u2Bg48xxv4DEeHatWsO5dHq6mqEh4eLYRgREYFOnTq1yfPLysowdepU7N+/HxaLBcHBwZg3bx4GDhyI7OxsrFixAjdu3AARoXv37pgyZQqys7NRUlICZ2dnDBs2DH/961/R0NAAqVSKyZMn49SpUzhy5AikUil8fX1hNpsREhKCXbt2wcPDw+H5ubm5AIAXX3wR69evR05Ozh1Lo08qDj7GGLsHRqNRLI8WFxfjwoUL0Gq1DuXRrl27PtRnCoKAtWvXYsmSJbh69SrUajUGDBiAFStWYMeOHVi4cCEqKytBRIiKisLw4cOxevVq1NTUICAgACEhIdi/fz+ICD4+PkhISMC6devQ0tICrVaL5uZmaLVa7N69GzqdTnyuyWRCcnIypk6dik2bNuHNN9/EK6+88lDfrT1x8DHG2H+hpaUFpaWlDuVRhULhEIRBQUEPbaRkMBiQnJyM7777DhaLBXq9HmlpaZBKpfjwww9x8eJFEBFCQ0Pxhz/8AVu3boXZbEZ0dDQuX76M6upqSCQSDBo0CAcPHkRDQwM0Gg3sdjs8PT2xe/duREREiM87ceIEVq9ejaSkJOTl5eHTTz9tl5mwbYGDjzHGHgIiQmVlJYqLi1FUVITi4mLU1taiW7duYnm0W7duUKvVD/QcQRCwZs0aZGRkoKysDM7OzkhISEBCQgI++ugjFBUVgYig0+kQHR2Nf/zjHxAEARERESgsLIQgCPDw8ICnpyd++eUXKBQKqFQquLq64quvvkJcXJz4rJUrV8LZ2RlXrlxBYGAgGhsb4ePjg+HDhz9od7UrDj7GGGsjN2/eFEujZ8+excWLF+Hv7+8waeZezs9rzeXLlzF58mQcOnQIVqsV3bp1w/jx45Gfn4/jx49DEAR4eXnB398fRUVFUCqVUKlUqKmpAQBER0ejqKgIAKBSqeDs7IzNmzcjPj4ewK/l3ffeew+VlZU4evQotFothg0bhoyMjAfvnHbEwccYY4+I1WoVy6O3wlCtVjuUR3U63X2XRwVBQE5ODpYvX46Kigq4urri9ddfR01NDQoKCmC326HRaODm5oaqqiq4uLigvr4egiDA2dkZNpsNVqsVSqUSarUaeXl5GDx4MDZu3IjU1FRUV1dDJpPBy8sLw4YNa3UR/JOCg48xxtoJEaG8vNyhPNrQ0OBQHg0PD4eTk9M937O0tBSTJk3C4cOH0dLSgrCwMHh4eODo0aNoaWmBs7MzFAoFTCYT5HI5zGYzAMDFxQWNjY2QyWRQKBQIDQ1FUVERXF1dIZVK0dTUBIVCgTFjxiAnJ6etuuSR4OBjjLHHSENDg8N2a5cvX4ZOp3Moj3bp0uU37yMIAlauXIlVq1ahsrISrq6u0Gq1uHDhAmw2G1Qqlfi7lpYWEBHkcjlaWloc7uPi4oLQ0FCcO3cOANCnTx/s2bMHdeY6XKq/hCZbExRSBTw6eSC0c+gTsdidg48xxh5jVqsV58+fF8ujxcXFcHFxEcujkZGR0Ol0dw2cc+fOYdKkSThy5AhaWlrQpUsX1NXVwWazQSaTgX49og6txUFWVha+//57FP5ciEETB0HxvAIHLh6AVCIFEUECCQQSEOAegFHPj8KrIa+ik6Jt1jg+DBx8jDH2BCEiXL161eE7YWNjIyIiIsQwDA8Pv207MuDX0d2SJUuQm5uLqqoqODk5wWq1oqWlBRKJpNXgc3Nzg6HKgA8OfICT1SchgQRdOnWBXPrv5Q1EBKPViCZbE5wVzsh8LRP/4/s/bdYPD4KDjzHGnnA3btxASUmJWB41GAwICgpymDTj7u7ucE1RURGSk5Nx7Ngx2Gw2EBEEQbjzA5RAeGo43HRu8Hbx/s1yZqO1ESarCZnxmXgp6KWH9ZoPDQcfY4w9ZSwWC3755RdxVFhSUgI3NzcxBCMjI+Hv7w+JRAJBELBgwQKsWbMGVVVVt99MAuBNAFpA66ZFTEyMOOv0+tnrqD1Ti25Dut12WZOtCU3WJqx/az0iPCNu+/f2xMHHGGNPOUEQYDAYHMqjZrNZnCxza0To7+9/+8V+AN4A0PjrH9017ujZs+c9bdh9vek6evj2QFa/rIf6Pg+Kg48xxjqg2tpaMQSLi4vxww8/4MSJE5BIJJBIJOIMT0k/Cew+dqDp39cqVUr0eaUPFErFXZ8hkIAaUw12DtsJrau2jd/o3nHwMcYYw44dOzB79mwAQF1dHZqamjBg+ACciT6DhsoGXD1/FfYSO9Dwfxd4Ac///nkYLxgRNTwKAGC+bobhOwNM10yQSCXwjvWG9FkpxnQfg4lxE9vpzW73dOw4yhhj7IEYDAa4uLggOjoavXr1QnR0NGqca5B2JA3PRD4D+heBwgnX1NdgsViAxl/P7uts7QwAsFvtKNlaAp84H4QNDAMJBPN1M0hB+PHqjxx8jDHGHi8TJkzAxIkTHZZBfHPuGwgkwFRpgq3Rhph3Y/Cc9Dk0NTXh6NGjMF80o662DqdPn4av3BcKZwW0cf8uabr4usBsM+Om5WZ7vFKrnp6TBRljjP3XVCrVbWv/5FI5JJDAarRC5a6CRPrrMoZOnTqhb9++6PFiD8jkMuj1eliNVjhpbt9ajUBQSO/+LfBR4+BjjDF2RxonDaQSKZSuSlhvWkGC45QQqVSKwKBAqNVqKF2VaK5vvu0elhYLujo/3AN6HxQHH2OMsTt6QfsCVDIV5F3lUDgrcPX7q7Bb7RBaBBjLjQ6/1YRqYDPZUHWiCkKLALvVjsaKRljtViREJLTTG9wZz+pkjDHWqk//9SnWn1qPzkJnGL41iIHnEekBZ29nVP9cLc7qbKppguE7A5quNUEil8Cjuwc0L2iw/539cJLf+wkTbY2DjzHGWKvKb5ZjYP5AaNQaKGW37//ZGiJCZWMlRncfjeQeyW3YwvvHpU7GGGOt8nPzw/s938f1puuw2W33dA0RodpUjQiPCIzuPrqNW3j/OPgYY4zd1eCowZgcNxk1TTUwWoytnuIAADa7DVWNVQjpHILsftlwVjo/wpbeGy51MsYYuyffXvwW2cezUdlYCalECjeVG+RSOQQS0NzSDJPNBIVUgQHdBuBPPf70WIYewMHHGGPsPhARTlWdwpYzW1BYVQij1QiVTAVvF28MjhqM10Jfg6vKtb2beVccfIwxxjoU/sbHGGOsQ+HgY4wx1qFw8DHGGOtQOPgYY4x1KBx8jDHGOhQOPsYYYx0KBx9jjLEOhYOPMcZYh8LBxxhjrEPh4GOMMdahcPAxxhjrUDj4GGOMdSgcfIwxxjoUDj7GGGMdCgcfY4yxDoWDjzHGWIfCwccYY6xD4eBjjDHWoXDwMcYY61A4+BhjjHUoHHyMMcY6FA4+xhhjHcr/AjHXGg+DIT5jAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "genesis_states = { \n",
-    "    # initial states of the economy\n",
-    "    'network': create_network(),# networkx market\n",
-    "    'KPIDemand': {},\n",
-    "    'KPISpend': {},\n",
-    "    'KPISpendOverDemand': {},\n",
-    "    'VelocityOfMoney':0,\n",
-    "    'startingBalance': {},\n",
-    "    '30_day_spend': {},\n",
-    "    'withdraw':{},\n",
-    "    'outboundAgents':[],\n",
-    "    'inboundAgents':[],\n",
-    "    'operatorFiatBalance': R0,\n",
-    "    'operatorCICBalance': S0,\n",
-    "    'fundsInProcess': {'timestep':[],'decision':[],'cic':[],'shilling':[]},\n",
-    "    'totalDistributedToAgents':0,\n",
-    "    'totalMinted':0,\n",
-    "    'totalBurned':0\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Exogenous \n",
-    "def startingBalance(params, step, sL, s, _input):\n",
-    "    '''\n",
-    "    Calculate agent starting balance every 30 days\n",
-    "    '''\n",
-    "    y = 'startingBalance'\n",
-    "    network = s['network']\n",
-    "\n",
-    "    startingBalance = {}\n",
-    "\n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    division =  timestep % 31  == 0\n",
-    "\n",
-    "    if timestep == 1:\n",
-    "        for i in agents:\n",
-    "            startingBalance[i] = network.nodes[i]['tokens']\n",
-    "    elif division == True:\n",
-    "        for i in agents:\n",
-    "            startingBalance[i] = network.nodes[i]['tokens']\n",
-    "    else:\n",
-    "        startingBalance = s['startingBalance']\n",
-    "    x = startingBalance\n",
-    "\n",
-    "    return (y, x)\n",
-    "\n",
-    "def update_30_day_spend(params, step, sL, s,_input):\n",
-    "    '''\n",
-    "    Aggregate agent spend. Refresh every 30 days.\n",
-    "    '''\n",
-    "    y = '30_day_spend'\n",
-    "    network = s['network']\n",
-    "\n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    division =  timestep % 31  == 0\n",
-    "\n",
-    "    if division == True:\n",
-    "        outflowSpend, inflowSpend = iterateEdges(network,'spend')\n",
-    "        spend =  outflowSpend \n",
-    "    else:\n",
-    "        spendOld = s['30_day_spend']\n",
-    "        outflowSpend, inflowSpend = iterateEdges(network,'spend')\n",
-    "        spend = DictionaryMergeAddition(spendOld,outflowSpend) \n",
-    "\n",
-    "    x = spend\n",
-    "    return (y, x)\n",
-    "\n",
-    "def redCrossDrop(params, step, sL, s, _input):\n",
-    "    '''\n",
-    "    Every 30 days, the red cross drips to the grassroots operator node\n",
-    "    '''\n",
-    "    y = 'operatorFiatBalance'\n",
-    "    fiatBalance = s['operatorFiatBalance']\n",
-    "    \n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    division =  timestep % 30  == 0\n",
-    "\n",
-    "    if division == True:\n",
-    "        fiatBalance = fiatBalance + drip\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "    x = fiatBalance\n",
-    "    return (y, x)\n",
-    "\n",
-    "\n",
-    "def clear_agent_activity(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    Clear agent activity from the previous timestep\n",
-    "    '''\n",
-    "    y = 'network'\n",
-    "    network = s['network']\n",
-    "\n",
-    "    if s['timestep'] > 0:\n",
-    "        outboundAgents = s['outboundAgents']\n",
-    "        inboundAgents = s['inboundAgents']\n",
-    "        \n",
-    "        try:\n",
-    "            for i,j in zip(outboundAgents,inboundAgents):\n",
-    "                network[i][j]['demand'] = 0\n",
-    "        except:\n",
-    "            pass\n",
-    "\n",
-    "        # Clear cic % demand edge weights\n",
-    "        try:\n",
-    "            for i,j in zip(outboundAgents,inboundAgents):\n",
-    "                network[i][j]['fractionOfDemandInCIC'] = 0\n",
-    "        except:\n",
-    "            pass\n",
-    "\n",
-    "\n",
-    "        # Clear utility edge types\n",
-    "        try: \n",
-    "            for i,j in zip(outboundAgents,inboundAgents):\n",
-    "                network[i][j]['utility'] = 0\n",
-    "        except:\n",
-    "            pass\n",
-    "        \n",
-    "        # Clear cic % spend edge weights\n",
-    "        try:\n",
-    "            for i,j in zip(outboundAgents,inboundAgents):\n",
-    "                network[i][j]['fractionOfActualSpendInCIC'] = 0\n",
-    "        except:\n",
-    "            pass\n",
-    "        # Clear spend edge types\n",
-    "        try: \n",
-    "            for i,j in zip(outboundAgents,inboundAgents):\n",
-    "                network[i][j]['spend'] = 0\n",
-    "        except:\n",
-    "            pass\n",
-    "    else:\n",
-    "        pass\n",
-    "    x = network\n",
-    "    return (y,x)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# System\n",
-    "\n",
-    "# Parameters\n",
-    "agentsMinus = 2\n",
-    "# percentage of balance a user can redeem\n",
-    "redeemPercentage = 0.5\n",
-    "\n",
-    "# Behaviors\n",
-    "def choose_agents(params, step, sL, s):\n",
-    "    '''\n",
-    "    Choose agents to interact during the given timestep and create their demand from a uniform distribution. \n",
-    "    Based on probability, choose utility. \n",
-    "    '''\n",
-    "    outboundAgents = np.random.choice(mixingAgents,size=len(mixingAgents)-agentsMinus).tolist()\n",
-    "    inboundAgents = np.random.choice(mixingAgents,size=len(mixingAgents)-agentsMinus).tolist()\n",
-    "    stepDemands = np.random.uniform(low=1, high=500, size=len(mixingAgents)-agentsMinus).astype(int)\n",
-    "    \n",
-    "\n",
-    "    stepUtilities = np.random.choice(list(UtilityTypesOrdered.keys()),size=len(mixingAgents)-agentsMinus,p=list(utilityTypesProbability.values())).tolist()\n",
-    "\n",
-    "    return {'outboundAgents':outboundAgents,'inboundAgents':inboundAgents,'stepDemands':stepDemands,'stepUtilities':stepUtilities}\n",
-    "\n",
-    "\n",
-    "def spend_allocation(params, step, sL, s):\n",
-    "    '''\n",
-    "    Take mixing agents, demand, and utilities and allocate agent shillings and tokens based on utility and scarcity. \n",
-    "    '''\n",
-    "    # instantiate network state\n",
-    "    network = s['network']\n",
-    "\n",
-    "    spendI = []\n",
-    "    spendJ = []\n",
-    "    spendAmount = []\n",
-    "\n",
-    "    # calculate max about of spend available to each agent\n",
-    "    maxSpendShilling = {}\n",
-    "    for i in mixingAgents:\n",
-    "        maxSpendShilling[i] = network.nodes[i]['native_currency']\n",
-    "        \n",
-    "    maxSpendCIC = {}\n",
-    "    for i in mixingAgents:\n",
-    "        maxSpendCIC[i] = network.nodes[i]['tokens']\n",
-    "\n",
-    "\n",
-    "    for i in mixingAgents: \n",
-    "        rankOrder = {}\n",
-    "        rankOrderDemand = {}\n",
-    "        for j in network.adj[i]:\n",
-    "            try:\n",
-    "                rankOrder[j] = UtilityTypesOrdered[network.adj[i][j]['utility']]\n",
-    "                rankOrderDemand[j] = network.adj[i][j]['demand']\n",
-    "                rankOrder = dict(OrderedDict(sorted(rankOrder.items(), key=lambda v: v, reverse=False)))\n",
-    "                for k in rankOrder:\n",
-    "                    # if i or j is external, we transact 100% in shilling\n",
-    "                    if i == 'external':\n",
-    "                        amt = spendCalculationExternal(i,j,rankOrderDemand,maxSpendShilling)\n",
-    "                        spendI.append(i)\n",
-    "                        spendJ.append(j)\n",
-    "                        spendAmount.append(amt)\n",
-    "                        maxSpendShilling[i] = maxSpendShilling[i] - amt \n",
-    "                    elif j == 'external':\n",
-    "                        amt = spendCalculationExternal(i,j,rankOrderDemand,maxSpendShilling)\n",
-    "                        spendI.append(i)\n",
-    "                        spendJ.append(j)\n",
-    "                        spendAmount.append(amt)\n",
-    "                        maxSpendShilling[i] = maxSpendShilling[i] - amt \n",
-    "                    else:\n",
-    "                        amt = spendCalculation(i,j,rankOrderDemand,maxSpendShilling,maxSpendCIC,fractionOfDemandInCIC)\n",
-    "                        spendI.append(i)\n",
-    "                        spendJ.append(j)\n",
-    "                        spendAmount.append(amt)\n",
-    "                        maxSpendShilling[i] = maxSpendShilling[i] - amt * (1- fractionOfDemandInCIC)\n",
-    "                        maxSpendCIC[i] = maxSpendCIC[i] - (amt * fractionOfDemandInCIC)\n",
-    "            except:\n",
-    "                pass\n",
-    "    return {'spendI':spendI,'spendJ':spendJ,'spendAmount':spendAmount}\n",
-    "\n",
-    "\n",
-    "def withdraw_calculation(params, step, sL, s):\n",
-    "    ''''''\n",
-    "    # instantiate network state\n",
-    "    network = s['network']\n",
-    "\n",
-    "    # Assumptions:\n",
-    "    # * user is only able to withdraw up to 50% of balance, assuming they have spent 50% of balance\n",
-    "    # * Agents will withdraw as much as they can.\n",
-    "    withdraw = {}\n",
-    "\n",
-    "    fiftyThreshold = {}\n",
-    "\n",
-    "    startingBalance = s['startingBalance']\n",
-    "\n",
-    "    spend = s['30_day_spend']\n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    division =  timestep % 30  == 0\n",
-    "\n",
-    "    if division == True:\n",
-    "        for i,j in startingBalance.items():\n",
-    "            fiftyThreshold[i] = j * 0.5\n",
-    "        if s['timestep'] > 7:\n",
-    "            for i,j in fiftyThreshold.items():\n",
-    "                if spend[i] > 0 and fiftyThreshold[i] > 0:\n",
-    "                    if spend[i] * fractionOfActualSpendInCIC >= fiftyThreshold[i]:\n",
-    "                        spent = spend[i]\n",
-    "                        amount = spent * redeemPercentage\n",
-    "                        if network.nodes[i]['tokens'] > amount:\n",
-    "                            withdraw[i] = amount\n",
-    "                        elif  network.nodes[i]['tokens'] < amount:\n",
-    "                            withdraw[i] = network.nodes[i]['tokens']\n",
-    "                    else:\n",
-    "                        pass\n",
-    "                else:\n",
-    "                    pass\n",
-    "        else:\n",
-    "            pass\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "\n",
-    "    return {'withdraw':withdraw}\n",
-    "\n",
-    "# Mechanisms \n",
-    "def update_agent_activity(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    Update the network for interacting agent, their demand, and utility.\n",
-    "    '''\n",
-    "    y = 'network'\n",
-    "    network = s['network']\n",
-    "\n",
-    "    outboundAgents = _input['outboundAgents']\n",
-    "    inboundAgents = _input['inboundAgents']\n",
-    "    stepDemands = _input['stepDemands']\n",
-    "    stepUtilities = _input['stepUtilities']\n",
-    "    \n",
-    "    # create demand edge weights\n",
-    "    try:\n",
-    "        for i,j,l in zip(outboundAgents,inboundAgents,stepDemands):\n",
-    "            network[i][j]['demand'] = l\n",
-    "    except:\n",
-    "        pass\n",
-    "\n",
-    "    # Create cic % edge weights\n",
-    "    try:\n",
-    "        for i,j in zip(outboundAgents,inboundAgents):\n",
-    "            # if one of the agents is external, we will transact in 100% shilling\n",
-    "            if i == 'external':\n",
-    "                network[i][j]['fractionOfDemandInCIC'] = 1\n",
-    "            elif j == 'external':\n",
-    "                network[i][j]['fractionOfDemandInCIC'] = 1\n",
-    "            else:\n",
-    "                network[i][j]['fractionOfDemandInCIC'] = fractionOfDemandInCIC\n",
-    "    except:\n",
-    "        pass\n",
-    "\n",
-    "    # Create utility edge types\n",
-    "    try: \n",
-    "        for i,j,l in zip(outboundAgents,inboundAgents,stepUtilities):\n",
-    "            network[i][j]['utility'] = l\n",
-    "    except:\n",
-    "        pass\n",
-    "\n",
-    "    x = network\n",
-    "    return (y,x)\n",
-    "\n",
-    "\n",
-    "def update_outboundAgents(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    Update outBoundAgents state variable\n",
-    "    '''\n",
-    "    y = 'outboundAgents'\n",
-    "\n",
-    "    x = _input['outboundAgents']\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_inboundAgents(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    Update inBoundAgents state variable\n",
-    "    '''\n",
-    "    y = 'inboundAgents'\n",
-    "\n",
-    "    x = _input['inboundAgents']\n",
-    "    return (y,x)\n",
-    "\n",
-    "\n",
-    "def update_node_spend(params, step, sL, s,_input):\n",
-    "    '''\n",
-    "    Update network with actual spend of agents.\n",
-    "    '''\n",
-    "    y = 'network'\n",
-    "    network = s['network']\n",
-    "    \n",
-    "    spendI = _input['spendI']\n",
-    "    spendJ = _input['spendJ']\n",
-    "    spendAmount = _input['spendAmount']\n",
-    "\n",
-    "    for i,j,l in zip(spendI,spendJ,spendAmount):   \n",
-    "        network[i][j]['spend'] = l\n",
-    "        if i == 'external':\n",
-    "            network[i][j]['fractionOfActualSpendInCIC'] = 1\n",
-    "        elif j == 'external':\n",
-    "            network[i][j]['fractionOfActualSpendInCIC'] = 1\n",
-    "        else:\n",
-    "            network[i][j]['fractionOfActualSpendInCIC'] = fractionOfActualSpendInCIC\n",
-    "\n",
-    "    outflowSpend, inflowSpend = iterateEdges(network,'spend')\n",
-    "\n",
-    "    for i, j in inflowSpend.items():\n",
-    "        if i == 'external':\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] +  inflowSpend[i]\n",
-    "        elif j == 'external':\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] +  inflowSpend[i]\n",
-    "        else:\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] +  inflowSpend[i] * (1- fractionOfDemandInCIC)\n",
-    "            network.nodes[i]['tokens'] = network.nodes[i]['tokens'] + (inflowSpend[i] * fractionOfDemandInCIC)\n",
-    "        \n",
-    "    for i, j in outflowSpend.items():\n",
-    "        if i == 'external':\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] - outflowSpend[i]\n",
-    "        elif j == 'external':\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] - outflowSpend[i]\n",
-    "        else:\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] - outflowSpend[i]* (1- fractionOfDemandInCIC)\n",
-    "            network.nodes[i]['tokens'] = network.nodes[i]['tokens'] - (outflowSpend[i] * fractionOfDemandInCIC)\n",
-    "\n",
-    "    # Store the net of the inflow and outflow per step\n",
-    "    network.nodes['external']['delta_native_currency'] = sum(inflowSpend.values()) - sum(outflowSpend.values())\n",
-    "\n",
-    "    x = network\n",
-    "    return (y,x)\n",
-    "\n",
-    "\n",
-    "def update_withdraw(params, step, sL, s,_input):\n",
-    "    '''\n",
-    "    Update flow sstate variable with the aggregated amount of shillings withdrawn\n",
-    "    '''\n",
-    "    y = 'withdraw'\n",
-    "    x = s['withdraw']\n",
-    "    if _input['withdraw']:\n",
-    "        x = _input['withdraw']\n",
-    "    else:\n",
-    "        x = 0\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_network_withraw(params, step, sL, s,_input):\n",
-    "    '''\n",
-    "    Update network for agents withdrawing \n",
-    "    '''\n",
-    "    y = 'network'\n",
-    "    network = s['network']\n",
-    "    withdraw = _input['withdraw']\n",
-    "\n",
-    "    if withdraw:\n",
-    "        for i,j in withdraw.items():\n",
-    "            # update agent nodes\n",
-    "            network.nodes[i]['tokens'] = network.nodes[i]['tokens'] - j\n",
-    "            network.nodes[i]['native_currency'] = network.nodes[i]['native_currency'] + (j * leverage)\n",
-    "\n",
-    "        withdrawnCICSum = []\n",
-    "        for i,j in withdraw.items():\n",
-    "            withdrawnCICSum.append(j)\n",
-    "        \n",
-    "        # update cic node\n",
-    "        network.nodes['cic']['native_currency'] = network.nodes[i]['native_currency'] - (sum(withdrawnCICSum) * leverage)\n",
-    "        network.nodes['cic']['tokens'] = network.nodes[i]['tokens'] + (sum(withdrawnCICSum) * leverage)\n",
-    "\n",
-    "    else:\n",
-    "        pass\n",
-    "    x = network\n",
-    "    return (y,x)\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Operating Entity\n",
-    "\n",
-    "# Parameters\n",
-    "FrequencyOfAllocation = 45 # every two weeks\n",
-    "idealFiat = 5000\n",
-    "idealCIC = 200000\n",
-    "varianceCIC = 50000\n",
-    "varianceFiat = 1000\n",
-    "unadjustedPerAgent = 50\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "agentAllocation = {'a':[1,1],'b':[1,1],'c':[1,1], # agent:[centrality,allocationValue]\n",
-    "                   'd':[1,1],'e':[1,1],'f':[1,1],\n",
-    "                   'g':[1,1],'h':[1,1],'i':[1,1],\n",
-    "                   'j':[1,1],'k':[1,1],'l':[1,1],\n",
-    "                   'm':[1,1],'o':[1,1],'p':[1,1]}\n",
-    "\n",
-    "# Behaviors\n",
-    "def disbursement_to_agents(params, step, sL, s):\n",
-    "    '''\n",
-    "    Distribute every FrequencyOfAllocation days to agents based off of centrality allocation metric\n",
-    "    '''\n",
-    "    fiatBalance = s['operatorFiatBalance']\n",
-    "    cicBalance = s['operatorCICBalance']\n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    division =  timestep % FrequencyOfAllocation  == 0\n",
-    "\n",
-    "    if division == True:\n",
-    "        agentDistribution ={} # agent: amount distributed\n",
-    "        for i,j in agentAllocation.items():\n",
-    "            agentDistribution[i] = unadjustedPerAgent * agentAllocation[i][1]\n",
-    "        distribute = 'Yes'\n",
-    "        \n",
-    "    else:\n",
-    "        agentDistribution = 0\n",
-    "        distribute = 'No'\n",
-    "\n",
-    "\n",
-    "    return {'distribute':distribute,'amount':agentDistribution}\n",
-    "\n",
-    "\n",
-    "def inventory_controller(params, step, sL, s):\n",
-    "    '''\n",
-    "    Monetary policy hysteresis conservation allocation between fiat and cic reserves.\n",
-    "    \n",
-    "    '''\n",
-    "    fiatBalance = s['operatorFiatBalance']\n",
-    "    cicBalance = s['operatorCICBalance']\n",
-    "    timestep = s['timestep']\n",
-    "    fundsInProcess = s['fundsInProcess']\n",
-    "\n",
-    "\n",
-    "    updatedCIC = cicBalance\n",
-    "    updatedFiat = fiatBalance\n",
-    "\n",
-    "    #decision,amt = mint_burn_logic_control(idealCIC,updatedCIC,variance,updatedFiat)\n",
-    "    decision,amt = mint_burn_logic_control(idealCIC,updatedCIC,varianceCIC,updatedFiat,varianceFiat,idealFiat)\n",
-    "\n",
-    "    if decision == 'burn':\n",
-    "        try:\n",
-    "            deltaR, realized_price = withdraw(amt,updatedFiat,updatedCIC, V0, kappa)\n",
-    "            # update state\n",
-    "            # fiatBalance = fiatBalance - deltaR\n",
-    "            # cicBalance = cicBalance - amt\n",
-    "            fiatChange = abs(deltaR)\n",
-    "            cicChange = amt\n",
-    "\n",
-    "        except:\n",
-    "            print('Not enough to burn')\n",
-    "\n",
-    "            fiatChange = 0\n",
-    "            cicChange = 0\n",
-    "        \n",
-    "    elif decision == 'mint':\n",
-    "        try:\n",
-    "            deltaS, realized_price = mint(amt,updatedFiat,updatedCIC, V0, kappa)\n",
-    "            # update state\n",
-    "            # fiatBalance = fiatBalance + amt\n",
-    "            # cicBalance = cicBalance + deltaS\n",
-    "            fiatChange = amt\n",
-    "            cicChange = abs(deltaS)\n",
-    "\n",
-    "        except:\n",
-    "            print('Not enough to mint')\n",
-    "            fiatChange = 0\n",
-    "            cicChange = 0\n",
-    "\n",
-    "    else:\n",
-    "        fiatChange = 0\n",
-    "        cicChange = 0\n",
-    "        decision = 'none'\n",
-    "        pass\n",
-    "\n",
-    "    if decision == 'mint':\n",
-    "        fundsInProcess['timestep'].append(timestep + process_lag)\n",
-    "        fundsInProcess['decision'].append(decision)\n",
-    "        fundsInProcess['cic'].append(fiatChange)\n",
-    "        fundsInProcess['shilling'].append(cicChange)\n",
-    "    elif decision == 'burn':\n",
-    "        fundsInProcess['timestep'].append(timestep +process_lag)\n",
-    "        fundsInProcess['decision'].append(decision)\n",
-    "        fundsInProcess['cic'].append(fiatChange)\n",
-    "        fundsInProcess['shilling'].append(cicChange)\n",
-    "    else:\n",
-    "        pass\n",
-    "    \n",
-    "    return {'decision':decision,'fiatChange':fiatChange,'cicChange':cicChange,'fundsInProcess':fundsInProcess}\n",
-    "\n",
-    "\n",
-    "\n",
-    "# Mechanisms \n",
-    "def update_agent_tokens(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'network'\n",
-    "    network = s['network']\n",
-    "\n",
-    "    distribute = _input['distribute']\n",
-    "    amount = _input['amount']\n",
-    "\n",
-    "    if distribute == 'Yes':\n",
-    "        for i in agents:\n",
-    "            network.nodes[i]['tokens'] = network.nodes[i]['tokens'] + amount[i]\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "    return (y,network)\n",
-    "\n",
-    "def update_operator_FromDisbursements(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'operatorCICBalance'\n",
-    "    x = s['operatorCICBalance']\n",
-    "    timestep = s['timestep']\n",
-    "    \n",
-    "    distribute = _input['distribute']\n",
-    "    amount = _input['amount'] \n",
-    "\n",
-    "    if distribute == 'Yes':\n",
-    "        totalDistribution = []\n",
-    "        for i,j in amount.items():\n",
-    "            totalDistribution.append(j)\n",
-    "        \n",
-    "        totalDistribution = sum(totalDistribution)\n",
-    "        x = x - totalDistribution\n",
-    "\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_totalDistributedToAgents(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'totalDistributedToAgents'\n",
-    "    x = s['totalDistributedToAgents']\n",
-    "    timestep = s['timestep']\n",
-    "    \n",
-    "    distribute = _input['distribute']\n",
-    "    amount = _input['amount'] \n",
-    "\n",
-    "    if distribute == 'Yes':\n",
-    "        totalDistribution = []\n",
-    "        for i,j in amount.items():\n",
-    "            totalDistribution.append(j)\n",
-    "        \n",
-    "        totalDistribution = sum(totalDistribution)\n",
-    "        x = x + totalDistribution\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_operator_fiatBalance(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'operatorFiatBalance'\n",
-    "    x = s['operatorFiatBalance']\n",
-    "    fundsInProcess = s['fundsInProcess']\n",
-    "    timestep = s['timestep']\n",
-    "    if _input['fiatChange']:\n",
-    "        try:\n",
-    "            if fundsInProcess['timestep'][0] == timestep + 1:\n",
-    "                if fundsInProcess['decision'][0] == 'mint':\n",
-    "                    x = x - abs(fundsInProcess['shilling'][0])\n",
-    "                elif fundsInProcess['decision'][0] == 'burn':\n",
-    "                    x = x + abs(fundsInProcess['shilling'][0])\n",
-    "            else:\n",
-    "                pass\n",
-    "        except:\n",
-    "            pass\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_operator_cicBalance(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'operatorCICBalance'\n",
-    "    x = s['operatorCICBalance']\n",
-    "    fundsInProcess = s['fundsInProcess']\n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    if _input['cicChange']:\n",
-    "        try:\n",
-    "            if fundsInProcess['timestep'][0] == timestep + 1:\n",
-    "                if fundsInProcess['decision'][0] == 'mint':\n",
-    "                    x = x + abs(fundsInProcess['cic'][0])\n",
-    "                elif fundsInProcess['decision'][0] == 'burn':\n",
-    "                    x = x - abs(fundsInProcess['cic'][0])\n",
-    "            else:\n",
-    "                pass\n",
-    "        except:\n",
-    "            pass\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_totalMinted(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'totalMinted'\n",
-    "    x = s['totalMinted']\n",
-    "    timestep = s['timestep']\n",
-    "    try:\n",
-    "        if _input['fundsInProcess']['decision'][0] == 'mint':\n",
-    "            x = x + abs(_input['fundsInProcess']['cic'][0])\n",
-    "        elif _input['fundsInProcess']['decision'][0] == 'burn':\n",
-    "            pass\n",
-    "    except:\n",
-    "        pass\n",
-    "\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_totalBurned(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'totalBurned'\n",
-    "    x = s['totalBurned']\n",
-    "    timestep = s['timestep']\n",
-    "    try:\n",
-    "        if _input['fundsInProcess']['decision'][0] == 'burn':\n",
-    "            x = x + abs(_input['fundsInProcess']['cic'][0])\n",
-    "        elif _input['fundsInProcess']['decision'][0] == 'mint':\n",
-    "            pass\n",
-    "    except:\n",
-    "        pass\n",
-    "\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_fundsInProcess(params,step,sL,s,_input):\n",
-    "    '''\n",
-    "    '''\n",
-    "    y = 'fundsInProcess'\n",
-    "    x = _input['fundsInProcess']\n",
-    "    timestep = s['timestep']\n",
-    "\n",
-    "    if _input['fundsInProcess']:\n",
-    "        try:\n",
-    "            if x['timestep'][0] == timestep:\n",
-    "                del x['timestep'][0]\n",
-    "                del x['decision'][0]\n",
-    "                del x['cic'][0]\n",
-    "                del x['shilling'][0]\n",
-    "            else:\n",
-    "                pass\n",
-    "        except:\n",
-    "            pass\n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "    return (y,x)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# KPI\n",
-    "\n",
-    "# Behaviors\n",
-    "def kpis(params, step, sL, s):\n",
-    "    ''''''\n",
-    "    # instantiate network state\n",
-    "    network = s['network']\n",
-    "\n",
-    "    KPIDemand = {}\n",
-    "    KPISpend = {}\n",
-    "    KPISpendOverDemand = {}\n",
-    "    for i in mixingAgents:\n",
-    "        demand = []\n",
-    "        for j in network.adj[i]:\n",
-    "            try:\n",
-    "                demand.append(network.adj[i][j]['demand'])\n",
-    "            except:\n",
-    "                pass\n",
-    "\n",
-    "        spend = []\n",
-    "        for j in network.adj[i]:\n",
-    "            try:\n",
-    "                spend.append(network.adj[i][j]['spend'])\n",
-    "            except:\n",
-    "                pass\n",
-    "\n",
-    "        sumDemand = sum(demand)\n",
-    "        sumSpend = sum(spend)\n",
-    "        try:\n",
-    "            spendOverDemand = sumSpend/sumDemand\n",
-    "        except:\n",
-    "            spendOverDemand = 0\n",
-    "\n",
-    "        KPIDemand[i] = sumDemand\n",
-    "        KPISpend[i] = sumSpend\n",
-    "        KPISpendOverDemand[i] = spendOverDemand\n",
-    "\n",
-    "    #print(nx.katz_centrality_numpy(G=network,weight='spend'))\n",
-    "    return {'KPIDemand':KPIDemand,'KPISpend':KPISpend,'KPISpendOverDemand':KPISpendOverDemand}\n",
-    "\n",
-    "def velocity_of_money(params, step, sL, s):\n",
-    "    ''''''\n",
-    "    # instantiate network state\n",
-    "    network = s['network']\n",
-    "\n",
-    "    KPISpend = s['KPISpend']\n",
-    "\n",
-    "    # TODO: Moving average for state variable\n",
-    "    T = []\n",
-    "    for i,j in KPISpend.items():\n",
-    "        T.append(j)\n",
-    "        \n",
-    "    T = sum(T)\n",
-    "    \n",
-    "    # TODO Moving average for state variable \n",
-    "    M = []\n",
-    "    for i in agents:\n",
-    "        M.append(network.nodes[i]['tokens'] + network.nodes[i]['native_currency'])\n",
-    "        \n",
-    "    M = sum(M)\n",
-    "    \n",
-    "    V_t = (priceLevel *T)/M\n",
-    "\n",
-    "    return {'V_t':V_t,'T':T,'M':M}\n",
-    "\n",
-    "\n",
-    "# Mechanisms\n",
-    "def update_KPIDemand(params, step, sL, s,_input):\n",
-    "    y = 'KPIDemand'\n",
-    "    x = _input['KPIDemand']\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_KPISpend(params, step, sL, s,_input):\n",
-    "    y = 'KPISpend'\n",
-    "    x = _input['KPISpend']\n",
-    "    return (y,x)\n",
-    "\n",
-    "def update_KPISpendOverDemand(params, step, sL, s,_input):\n",
-    "    y = 'KPISpendOverDemand'\n",
-    "    x = _input['KPISpendOverDemand']\n",
-    "    return (y,x)\n",
-    "\n",
-    "\n",
-    "def update_velocity_of_money(params, step, sL, s,_input):\n",
-    "    y = 'VelocityOfMoney'\n",
-    "    x = _input['V_t']\n",
-    "    return (y,x)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# partial state update block\n",
-    "partial_state_update_block = {\n",
-    "    # Exogenous\n",
-    "    'Exogenous': {\n",
-    "        'policies': {\n",
-    "        },\n",
-    "        'variables': {\n",
-    "            'startingBalance': startingBalance,\n",
-    "            'operatorFiatBalance': redCrossDrop,\n",
-    "            '30_day_spend': update_30_day_spend,\n",
-    "            'network':clear_agent_activity\n",
-    "        }\n",
-    "    },\n",
-    "    # Users\n",
-    "    'Behaviors': {\n",
-    "        'policies': {\n",
-    "            'action': choose_agents\n",
-    "        },\n",
-    "        'variables': {\n",
-    "        'network': update_agent_activity,\n",
-    "        'outboundAgents': update_outboundAgents,\n",
-    "        'inboundAgents':update_inboundAgents\n",
-    "        }\n",
-    "    },\n",
-    "    'Spend allocation': {\n",
-    "        'policies': {\n",
-    "            'action': spend_allocation\n",
-    "        },\n",
-    "        'variables': {\n",
-    "        'network': update_node_spend\n",
-    "        }\n",
-    "    },\n",
-    "    'Withdraw behavior': {\n",
-    "        'policies': {\n",
-    "            'action': withdraw_calculation\n",
-    "        },\n",
-    "        'variables': {\n",
-    "        'withdraw': update_withdraw,\n",
-    "        'network':update_network_withraw\n",
-    "        }\n",
-    "    },\n",
-    "    # Operator\n",
-    "    'Operator Disburse to Agents': {\n",
-    "        'policies': {\n",
-    "            'action': disbursement_to_agents\n",
-    "        },\n",
-    "        'variables': {\n",
-    "        'network':update_agent_tokens,\n",
-    "        'operatorCICBalance':update_operator_FromDisbursements,\n",
-    "        'totalDistributedToAgents':update_totalDistributedToAgents\n",
-    "        }\n",
-    "    },\n",
-    "    'Operator Inventory Control': {\n",
-    "        'policies': {\n",
-    "            'action': inventory_controller\n",
-    "        },\n",
-    "        'variables': {\n",
-    "        'operatorFiatBalance':update_operator_fiatBalance,\n",
-    "        'operatorCICBalance':update_operator_cicBalance, \n",
-    "        'totalMinted': update_totalMinted,\n",
-    "        'totalBurned':update_totalBurned,\n",
-    "        'fundsInProcess':update_fundsInProcess\n",
-    "        }\n",
-    "    },\n",
-    "    # KPIs\n",
-    "    'KPIs': {\n",
-    "        'policies': {\n",
-    "            'action':kpis\n",
-    "        },\n",
-    "        'variables':{\n",
-    "            'KPIDemand': update_KPIDemand,\n",
-    "            'KPISpend': update_KPISpend,\n",
-    "            'KPISpendOverDemand': update_KPISpendOverDemand        \n",
-    "        }\n",
-    "    },\n",
-    "    'Velocity': {\n",
-    "        'policies': {\n",
-    "            'action':velocity_of_money\n",
-    "        },\n",
-    "        'variables':{\n",
-    "\n",
-    "            'VelocityOfMoney': update_velocity_of_money\n",
-    "        }\n",
-    "    }\n",
-    "}\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[{'N': 5, 'T': range(0, 100), 'M': [{}]}]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# config\n",
-    "params: Dict[str, List[int]] = {\n",
-    "    'month': [0,12,36,50,100]\n",
-    "}\n",
-    "\n",
-    "\n",
-    "sim_config = config_sim({\n",
-    "    'N': 5,\n",
-    "    'T': range(100), #day \n",
-    "#     'M': #params,\n",
-    "})\n",
-    "\n",
-    "seeds = {\n",
-    "    'p': np.random.RandomState(26042019),\n",
-    "}\n",
-    "env_processes = {}\n",
-    "\n",
-    "\n",
-    "append_configs(\n",
-    "    sim_configs=sim_config,\n",
-    "    initial_state=genesis_states,\n",
-    "    seeds=seeds,\n",
-    "    env_processes=env_processes,\n",
-    "    partial_state_update_blocks=partial_state_update_block\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Run cadCAD model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "exec_mode = ExecutionMode()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "                            __________   ____ \n",
-      "          ________ __ _____/ ____/   |  / __ \\\n",
-      "         / ___/ __` / __  / /   / /| | / / / /\n",
-      "        / /__/ /_/ / /_/ / /___/ ___ |/ /_/ / \n",
-      "        \\___/\\__,_/\\__,_/\\____/_/  |_/_____/  \n",
-      "        by BlockScience\n",
-      "        \n",
-      "Execution Mode: single_proc: [<cadCAD.configuration.Configuration object at 0x7f8787b0a690>]\n",
-      "Configurations: [<cadCAD.configuration.Configuration object at 0x7f8787b0a690>]\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/utils/__init__.py:113: FutureWarning: The use of a dictionary to describe Partial State Update Blocks will be deprecated. Use a list instead.\n",
-      "  FutureWarning)\n"
-     ]
-    }
-   ],
-   "source": [
-    "single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)\n",
-    "run1 = Executor(exec_context=single_proc_ctx, configs=[configs[0]])\n",
-    "run1_raw_result, raw_tensor_field = run1.execute()\n",
-    "df = pd.DataFrame(run1_raw_result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set subsetep to last\n",
-    "df = df[df['substep'] == df['substep'].max()]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>network</th>\n",
-       "      <th>KPIDemand</th>\n",
-       "      <th>KPISpend</th>\n",
-       "      <th>KPISpendOverDemand</th>\n",
-       "      <th>VelocityOfMoney</th>\n",
-       "      <th>startingBalance</th>\n",
-       "      <th>30_day_spend</th>\n",
-       "      <th>withdraw</th>\n",
-       "      <th>outboundAgents</th>\n",
-       "      <th>inboundAgents</th>\n",
-       "      <th>operatorFiatBalance</th>\n",
-       "      <th>operatorCICBalance</th>\n",
-       "      <th>fundsInProcess</th>\n",
-       "      <th>totalDistributedToAgents</th>\n",
-       "      <th>totalMinted</th>\n",
-       "      <th>totalBurned</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>timestep</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 338, 'd': 398, 'e': 166,...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 57, 'd': 398, 'e': 166, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0.16863905325443787, 'd'...</td>\n",
-       "      <td>21.78</td>\n",
-       "      <td>{'a': 400, 'b': 400, 'c': 400, 'd': 400, 'e': ...</td>\n",
-       "      <td>{}</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[e, l, g, h, d, f, c, l, f, o, g, l, external, f]</td>\n",
-       "      <td>[a, h, m, l, m, l, d, f, a, b, h, d, i, d]</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 83, 'b': 0, 'c': 0, 'd': 664, 'e': 0, 'f...</td>\n",
-       "      <td>{'a': 83, 'b': 0, 'c': 0, 'd': 289.125, 'e': 0...</td>\n",
-       "      <td>{'a': 1.0, 'b': 0, 'c': 0, 'd': 0.435429216867...</td>\n",
-       "      <td>11.87</td>\n",
-       "      <td>{'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....</td>\n",
-       "      <td>{'c': 57, 'd': 398, 'e': 166, 'f': 254.5625, '...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[h, f, a, d, d, i, l, h, m, d, l, m, h, i]</td>\n",
-       "      <td>[e, external, o, a, l, external, o, k, m, m, d...</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 195, 'c': 0, 'd': 258, 'e': 317,...</td>\n",
-       "      <td>{'a': 0, 'b': 195, 'c': 0, 'd': 60.1875, 'e': ...</td>\n",
-       "      <td>{'a': 0, 'b': 1.0, 'c': 0, 'd': 0.233284883720...</td>\n",
-       "      <td>21.00</td>\n",
-       "      <td>{'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....</td>\n",
-       "      <td>{'a': 83, 'i': 214, 'c': 57, 'd': 687.125, 'e'...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[j, g, j, k, external, k, k, k, d, b, m, k, e,...</td>\n",
-       "      <td>[m, c, p, d, l, external, o, o, a, m, p, b, c, e]</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 8, 'b': 0, 'c': 140, 'd': 0, 'e': 623, '...</td>\n",
-       "      <td>{'a': 8, 'b': 0, 'c': 140, 'd': 0, 'e': 227.87...</td>\n",
-       "      <td>{'a': 1.0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 0.36...</td>\n",
-       "      <td>16.09</td>\n",
-       "      <td>{'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....</td>\n",
-       "      <td>{'b': 195, 'j': 328, 'k': 198.0625, 'm': 415, ...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[c, a, k, e, e, f, m, p, j, i, i, k, m, e]</td>\n",
-       "      <td>[p, l, j, i, g, p, f, b, k, a, f, a, p, e]</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 134, 'b': 0, 'c': 202, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 134, 'b': 0, 'c': 38.9375, 'd': 0, 'e': ...</td>\n",
-       "      <td>{'a': 1.0, 'b': 0, 'c': 0.19275990099009901, '...</td>\n",
-       "      <td>8.44</td>\n",
-       "      <td>{'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....</td>\n",
-       "      <td>{'p': 92, 'b': 195, 'j': 669, 'k': 231.0625, '...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[m, k, j, a, p, c, external, p, o, o, l, m, c,...</td>\n",
-       "      <td>[c, i, e, h, b, a, external, f, h, f, b, l, a, m]</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                              network  \\\n",
-       "8   (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "16  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "24  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "32  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "40  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "\n",
-       "                                            KPIDemand  \\\n",
-       "8   {'a': 0, 'b': 0, 'c': 338, 'd': 398, 'e': 166,...   \n",
-       "16  {'a': 83, 'b': 0, 'c': 0, 'd': 664, 'e': 0, 'f...   \n",
-       "24  {'a': 0, 'b': 195, 'c': 0, 'd': 258, 'e': 317,...   \n",
-       "32  {'a': 8, 'b': 0, 'c': 140, 'd': 0, 'e': 623, '...   \n",
-       "40  {'a': 134, 'b': 0, 'c': 202, 'd': 0, 'e': 0, '...   \n",
-       "\n",
-       "                                             KPISpend  \\\n",
-       "8   {'a': 0, 'b': 0, 'c': 57, 'd': 398, 'e': 166, ...   \n",
-       "16  {'a': 83, 'b': 0, 'c': 0, 'd': 289.125, 'e': 0...   \n",
-       "24  {'a': 0, 'b': 195, 'c': 0, 'd': 60.1875, 'e': ...   \n",
-       "32  {'a': 8, 'b': 0, 'c': 140, 'd': 0, 'e': 227.87...   \n",
-       "40  {'a': 134, 'b': 0, 'c': 38.9375, 'd': 0, 'e': ...   \n",
-       "\n",
-       "                                   KPISpendOverDemand  VelocityOfMoney  \\\n",
-       "8   {'a': 0, 'b': 0, 'c': 0.16863905325443787, 'd'...            21.78   \n",
-       "16  {'a': 1.0, 'b': 0, 'c': 0, 'd': 0.435429216867...            11.87   \n",
-       "24  {'a': 0, 'b': 1.0, 'c': 0, 'd': 0.233284883720...            21.00   \n",
-       "32  {'a': 1.0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 0.36...            16.09   \n",
-       "40  {'a': 1.0, 'b': 0, 'c': 0.19275990099009901, '...             8.44   \n",
-       "\n",
-       "                                      startingBalance  \\\n",
-       "8   {'a': 400, 'b': 400, 'c': 400, 'd': 400, 'e': ...   \n",
-       "16  {'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....   \n",
-       "24  {'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....   \n",
-       "32  {'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....   \n",
-       "40  {'a': 583.0, 'b': 578.0, 'c': 371.5, 'd': 401....   \n",
-       "\n",
-       "                                         30_day_spend withdraw  \\\n",
-       "8                                                  {}        0   \n",
-       "16  {'c': 57, 'd': 398, 'e': 166, 'f': 254.5625, '...        0   \n",
-       "24  {'a': 83, 'i': 214, 'c': 57, 'd': 687.125, 'e'...        0   \n",
-       "32  {'b': 195, 'j': 328, 'k': 198.0625, 'm': 415, ...        0   \n",
-       "40  {'p': 92, 'b': 195, 'j': 669, 'k': 231.0625, '...        0   \n",
-       "\n",
-       "                                       outboundAgents  \\\n",
-       "8   [e, l, g, h, d, f, c, l, f, o, g, l, external, f]   \n",
-       "16         [h, f, a, d, d, i, l, h, m, d, l, m, h, i]   \n",
-       "24  [j, g, j, k, external, k, k, k, d, b, m, k, e,...   \n",
-       "32         [c, a, k, e, e, f, m, p, j, i, i, k, m, e]   \n",
-       "40  [m, k, j, a, p, c, external, p, o, o, l, m, c,...   \n",
-       "\n",
-       "                                        inboundAgents  operatorFiatBalance  \\\n",
-       "8          [a, h, m, l, m, l, d, f, a, b, h, d, i, d]                 4500   \n",
-       "16  [e, external, o, a, l, external, o, k, m, m, d...                 4500   \n",
-       "24  [m, c, p, d, l, external, o, o, a, m, p, b, c, e]                 4500   \n",
-       "32         [p, l, j, i, g, p, f, b, k, a, f, a, p, e]                 4500   \n",
-       "40  [c, i, e, h, b, a, external, f, h, f, b, l, a, m]                 4500   \n",
-       "\n",
-       "    operatorCICBalance                                     fundsInProcess  \\\n",
-       "8            200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "16           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "24           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "32           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "40           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "\n",
-       "    totalDistributedToAgents  totalMinted  totalBurned  run  substep  timestep  \n",
-       "8                          0            0            0    1        8         1  \n",
-       "16                         0            0            0    1        8         2  \n",
-       "24                         0            0            0    1        8         3  \n",
-       "32                         0            0            0    1        8         4  \n",
-       "40                         0            0            0    1        8         5  "
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.reset_index(inplace=True)\n",
-    "del df['index']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agents'] = df.network.apply(lambda g: np.array([get_nodes_by_type(g,'Agent')][0]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agent_tokens'] = df.network.apply(lambda g: np.array([g.nodes[j]['tokens'] for j in get_nodes_by_type(g,'Agent')]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agent_native_currency'] = df.network.apply(lambda g: np.array([g.nodes[j]['native_currency'] for j in get_nodes_by_type(g,'Agent')]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>network</th>\n",
-       "      <th>KPIDemand</th>\n",
-       "      <th>KPISpend</th>\n",
-       "      <th>KPISpendOverDemand</th>\n",
-       "      <th>VelocityOfMoney</th>\n",
-       "      <th>startingBalance</th>\n",
-       "      <th>30_day_spend</th>\n",
-       "      <th>withdraw</th>\n",
-       "      <th>outboundAgents</th>\n",
-       "      <th>inboundAgents</th>\n",
-       "      <th>...</th>\n",
-       "      <th>fundsInProcess</th>\n",
-       "      <th>totalDistributedToAgents</th>\n",
-       "      <th>totalMinted</th>\n",
-       "      <th>totalBurned</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>timestep</th>\n",
-       "      <th>agents</th>\n",
-       "      <th>agent_tokens</th>\n",
-       "      <th>agent_native_currency</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>495</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 362, 'b': 353, 'c': 0, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 362, 'b': 353, 'c': 0, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 1.0, 'b': 1.0, 'c': 0, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>14.32</td>\n",
-       "      <td>{'a': 3549.1844038994227, 'b': -759.6566540305...</td>\n",
-       "      <td>{'a': 407, 'b': 517.5246942932349, 'c': 359, '...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[external, external, o, a, a, b, h, j, m, o, m...</td>\n",
-       "      <td>[l, e, d, j, p, m, external, m, g, h, k, f, i,...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>96</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[3843.699663730596, 1181.2082080925675, 858.53...</td>\n",
-       "      <td>[4405.7172278645585, 2458.3895564163895, 1173....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>496</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 303, 'b': 0, 'c': 0, 'd': 164, 'e': 0, '...</td>\n",
-       "      <td>{'a': 303, 'b': 0, 'c': 0, 'd': 164, 'e': 0, '...</td>\n",
-       "      <td>{'a': 1.0, 'b': 0, 'c': 0, 'd': 1.0, 'e': 0, '...</td>\n",
-       "      <td>18.23</td>\n",
-       "      <td>{'a': 3549.1844038994227, 'b': -759.6566540305...</td>\n",
-       "      <td>{'a': 769, 'b': 870.5246942932349, 'c': 359, '...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[o, i, j, d, a, d, o, o, g, g, p, j, j, o]</td>\n",
-       "      <td>[m, b, o, i, d, a, g, external, k, k, l, h, k, l]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>97</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[3736.199663730596, 1375.573975395193, 858.534...</td>\n",
-       "      <td>[4298.2172278645585, 2652.755323719015, 1173.5...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>497</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 521, 'b': 537, 'c': 0, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 521, 'b': 537, 'c': 0, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 1.0, 'b': 1.0, 'c': 0, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>15.31</td>\n",
-       "      <td>{'a': 3549.1844038994227, 'b': -759.6566540305...</td>\n",
-       "      <td>{'a': 1072, 'b': 870.5246942932349, 'c': 359, ...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[p, m, a, o, g, h, m, l, l, l, a, b, l, b]</td>\n",
-       "      <td>[f, a, i, g, a, l, o, h, e, c, o, p, g, k]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>98</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[4018.122226032855, 1107.073975395193, 970.822...</td>\n",
-       "      <td>[4580.139790166818, 2384.255323719015, 1285.80...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>498</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 177, 'b': 322, 'c': 0, 'd': 109, 'e': 0,...</td>\n",
-       "      <td>{'a': 177, 'b': 322, 'c': 0, 'd': 109, 'e': 0,...</td>\n",
-       "      <td>{'a': 1.0, 'b': 1.0, 'c': 0, 'd': 1.0, 'e': 0,...</td>\n",
-       "      <td>28.10</td>\n",
-       "      <td>{'a': 3549.1844038994227, 'b': -759.6566540305...</td>\n",
-       "      <td>{'a': 1593, 'b': 1407.524694293235, 'c': 359, ...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[l, i, d, p, d, j, o, a, f, b, m, f, g, p]</td>\n",
-       "      <td>[k, p, a, b, o, external, l, i, o, e, b, c, c, m]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>99</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[3971.622226032855, 1230.0205571398026, 2492.6...</td>\n",
-       "      <td>[4533.639790166818, 2507.201905463625, 2807.62...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>499</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 118, 'c': 0, 'd': 503, 'e': 0, '...</td>\n",
-       "      <td>{'a': 0, 'b': 118, 'c': 0, 'd': 503, 'e': 0, '...</td>\n",
-       "      <td>{'a': 0, 'b': 1.0, 'c': 0, 'd': 1.0, 'e': 0, '...</td>\n",
-       "      <td>16.48</td>\n",
-       "      <td>{'a': 3549.1844038994227, 'b': -759.6566540305...</td>\n",
-       "      <td>{'a': 1770, 'b': 1729.524694293235, 'c': 359, ...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[f, h, l, p, d, k, f, b, d, h, m, g, k, f]</td>\n",
-       "      <td>[o, m, e, external, a, p, k, k, m, g, o, f, g, k]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>100</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[4030.622226032855, 1171.0205571398026, 2492.6...</td>\n",
-       "      <td>[4592.639790166818, 2448.201905463625, 2807.62...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 22 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                               network  \\\n",
-       "495  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "496  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "497  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "498  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "499  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "\n",
-       "                                             KPIDemand  \\\n",
-       "495  {'a': 362, 'b': 353, 'c': 0, 'd': 0, 'e': 0, '...   \n",
-       "496  {'a': 303, 'b': 0, 'c': 0, 'd': 164, 'e': 0, '...   \n",
-       "497  {'a': 521, 'b': 537, 'c': 0, 'd': 0, 'e': 0, '...   \n",
-       "498  {'a': 177, 'b': 322, 'c': 0, 'd': 109, 'e': 0,...   \n",
-       "499  {'a': 0, 'b': 118, 'c': 0, 'd': 503, 'e': 0, '...   \n",
-       "\n",
-       "                                              KPISpend  \\\n",
-       "495  {'a': 362, 'b': 353, 'c': 0, 'd': 0, 'e': 0, '...   \n",
-       "496  {'a': 303, 'b': 0, 'c': 0, 'd': 164, 'e': 0, '...   \n",
-       "497  {'a': 521, 'b': 537, 'c': 0, 'd': 0, 'e': 0, '...   \n",
-       "498  {'a': 177, 'b': 322, 'c': 0, 'd': 109, 'e': 0,...   \n",
-       "499  {'a': 0, 'b': 118, 'c': 0, 'd': 503, 'e': 0, '...   \n",
-       "\n",
-       "                                    KPISpendOverDemand  VelocityOfMoney  \\\n",
-       "495  {'a': 1.0, 'b': 1.0, 'c': 0, 'd': 0, 'e': 0, '...            14.32   \n",
-       "496  {'a': 1.0, 'b': 0, 'c': 0, 'd': 1.0, 'e': 0, '...            18.23   \n",
-       "497  {'a': 1.0, 'b': 1.0, 'c': 0, 'd': 0, 'e': 0, '...            15.31   \n",
-       "498  {'a': 1.0, 'b': 1.0, 'c': 0, 'd': 1.0, 'e': 0,...            28.10   \n",
-       "499  {'a': 0, 'b': 1.0, 'c': 0, 'd': 1.0, 'e': 0, '...            16.48   \n",
-       "\n",
-       "                                       startingBalance  \\\n",
-       "495  {'a': 3549.1844038994227, 'b': -759.6566540305...   \n",
-       "496  {'a': 3549.1844038994227, 'b': -759.6566540305...   \n",
-       "497  {'a': 3549.1844038994227, 'b': -759.6566540305...   \n",
-       "498  {'a': 3549.1844038994227, 'b': -759.6566540305...   \n",
-       "499  {'a': 3549.1844038994227, 'b': -759.6566540305...   \n",
-       "\n",
-       "                                          30_day_spend withdraw  \\\n",
-       "495  {'a': 407, 'b': 517.5246942932349, 'c': 359, '...        0   \n",
-       "496  {'a': 769, 'b': 870.5246942932349, 'c': 359, '...        0   \n",
-       "497  {'a': 1072, 'b': 870.5246942932349, 'c': 359, ...        0   \n",
-       "498  {'a': 1593, 'b': 1407.524694293235, 'c': 359, ...        0   \n",
-       "499  {'a': 1770, 'b': 1729.524694293235, 'c': 359, ...        0   \n",
-       "\n",
-       "                                        outboundAgents  \\\n",
-       "495  [external, external, o, a, a, b, h, j, m, o, m...   \n",
-       "496         [o, i, j, d, a, d, o, o, g, g, p, j, j, o]   \n",
-       "497         [p, m, a, o, g, h, m, l, l, l, a, b, l, b]   \n",
-       "498         [l, i, d, p, d, j, o, a, f, b, m, f, g, p]   \n",
-       "499         [f, h, l, p, d, k, f, b, d, h, m, g, k, f]   \n",
-       "\n",
-       "                                         inboundAgents  ...  \\\n",
-       "495  [l, e, d, j, p, m, external, m, g, h, k, f, i,...  ...   \n",
-       "496  [m, b, o, i, d, a, g, external, k, k, l, h, k, l]  ...   \n",
-       "497         [f, a, i, g, a, l, o, h, e, c, o, p, g, k]  ...   \n",
-       "498  [k, p, a, b, o, external, l, i, o, e, b, c, c, m]  ...   \n",
-       "499  [o, m, e, external, a, p, k, k, m, g, o, f, g, k]  ...   \n",
-       "\n",
-       "                                        fundsInProcess  \\\n",
-       "495  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "496  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "497  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "498  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "499  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "\n",
-       "     totalDistributedToAgents totalMinted  totalBurned  run  substep  \\\n",
-       "495                      1500           0            0    5        8   \n",
-       "496                      1500           0            0    5        8   \n",
-       "497                      1500           0            0    5        8   \n",
-       "498                      1500           0            0    5        8   \n",
-       "499                      1500           0            0    5        8   \n",
-       "\n",
-       "     timestep                                         agents  \\\n",
-       "495        96  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "496        97  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "497        98  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "498        99  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "499       100  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "\n",
-       "                                          agent_tokens  \\\n",
-       "495  [3843.699663730596, 1181.2082080925675, 858.53...   \n",
-       "496  [3736.199663730596, 1375.573975395193, 858.534...   \n",
-       "497  [4018.122226032855, 1107.073975395193, 970.822...   \n",
-       "498  [3971.622226032855, 1230.0205571398026, 2492.6...   \n",
-       "499  [4030.622226032855, 1171.0205571398026, 2492.6...   \n",
-       "\n",
-       "                                 agent_native_currency  \n",
-       "495  [4405.7172278645585, 2458.3895564163895, 1173....  \n",
-       "496  [4298.2172278645585, 2652.755323719015, 1173.5...  \n",
-       "497  [4580.139790166818, 2384.255323719015, 1285.80...  \n",
-       "498  [4533.639790166818, 2507.201905463625, 2807.62...  \n",
-       "499  [4592.639790166818, 2448.201905463625, 2807.62...  \n",
-       "\n",
-       "[5 rows x 22 columns]"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.tail()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create dataframe variables   \n",
-    "tokens = []\n",
-    "for i in df.index:\n",
-    "     tokens.append(sum(df['agent_tokens'][i]))\n",
-    "        \n",
-    "df['AggregatedAgentCICHolding'] = tokens  \n",
-    "\n",
-    "currency = []\n",
-    "for i in df.index:\n",
-    "     currency.append(sum(df['agent_native_currency'][i]))\n",
-    "        \n",
-    "df['AggregatedAgentCurrencyHolding'] = currency  \n",
-    "\n",
-    "AggregatedSpend = []\n",
-    "for i in df.index:\n",
-    "     AggregatedSpend.append(sum(df['KPISpend'][i].values()))\n",
-    "\n",
-    "df['AggregatedAgentSpend'] = AggregatedSpend   \n",
-    "\n",
-    "AggregatedDemand = []\n",
-    "for i in df.index:\n",
-    "     AggregatedDemand.append(sum(df['KPIDemand'][i].values()))\n",
-    "        \n",
-    "df['AggregatedAgentDemand'] = AggregatedDemand  \n",
-    "\n",
-    "\n",
-    "AggregatedKPISpendOverDemand = []\n",
-    "for i in df.index:\n",
-    "     AggregatedKPISpendOverDemand.append(sum(df['KPISpendOverDemand'][i].values()))\n",
-    "        \n",
-    "df['AggregatedKPISpendOverDemand'] = AggregatedKPISpendOverDemand  \n",
-    "\n",
-    "\n",
-    "AggregatedGapOfDemandMinusSpend = []\n",
-    "for i in df.index:\n",
-    "     AggregatedGapOfDemandMinusSpend.append(sum(df['KPIDemand'][i].values())- sum(df['KPISpend'][i].values()))\n",
-    "        \n",
-    "df['AggregatedGapOfDemandMinusSpend'] = AggregatedGapOfDemandMinusSpend  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['KPISpend'][1]['external']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "subset = df[['timestep', 'VelocityOfMoney', 'operatorFiatBalance',\n",
-    "       'operatorCICBalance', 'totalDistributedToAgents', 'totalMinted',\n",
-    "       'totalBurned', 'run', 'substep', 'AggregatedAgentCICHolding',\n",
-    "       'AggregatedAgentCurrencyHolding', 'AggregatedAgentSpend',\n",
-    "       'AggregatedAgentDemand', 'AggregatedKPISpendOverDemand',\n",
-    "       'AggregatedGapOfDemandMinusSpend']]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mean_df,median_df,std_df,min_df = aggregate_runs(subset,'timestep')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>timestep</th>\n",
-       "      <th>VelocityOfMoney</th>\n",
-       "      <th>operatorFiatBalance</th>\n",
-       "      <th>operatorCICBalance</th>\n",
-       "      <th>totalDistributedToAgents</th>\n",
-       "      <th>totalMinted</th>\n",
-       "      <th>totalBurned</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>AggregatedAgentCICHolding</th>\n",
-       "      <th>AggregatedAgentCurrencyHolding</th>\n",
-       "      <th>AggregatedAgentSpend</th>\n",
-       "      <th>AggregatedAgentDemand</th>\n",
-       "      <th>AggregatedKPISpendOverDemand</th>\n",
-       "      <th>AggregatedGapOfDemandMinusSpend</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>96</td>\n",
-       "      <td>15.73</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-1137.20</td>\n",
-       "      <td>19352.37</td>\n",
-       "      <td>2937.30</td>\n",
-       "      <td>2482.00</td>\n",
-       "      <td>13.00</td>\n",
-       "      <td>-455.30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>97</td>\n",
-       "      <td>17.29</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-1190.60</td>\n",
-       "      <td>19298.97</td>\n",
-       "      <td>3159.83</td>\n",
-       "      <td>2265.00</td>\n",
-       "      <td>66.37</td>\n",
-       "      <td>-894.83</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>97</th>\n",
-       "      <td>98</td>\n",
-       "      <td>19.40</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-1203.81</td>\n",
-       "      <td>19285.75</td>\n",
-       "      <td>3279.11</td>\n",
-       "      <td>2934.00</td>\n",
-       "      <td>10.01</td>\n",
-       "      <td>-345.11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>99</td>\n",
-       "      <td>14.27</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-1243.41</td>\n",
-       "      <td>19246.15</td>\n",
-       "      <td>2684.56</td>\n",
-       "      <td>1840.00</td>\n",
-       "      <td>19.34</td>\n",
-       "      <td>-844.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>99</th>\n",
-       "      <td>100</td>\n",
-       "      <td>14.77</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-1265.61</td>\n",
-       "      <td>19223.96</td>\n",
-       "      <td>2701.91</td>\n",
-       "      <td>2093.00</td>\n",
-       "      <td>8.65</td>\n",
-       "      <td>-608.91</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    timestep  VelocityOfMoney  operatorFiatBalance  operatorCICBalance  \\\n",
-       "95        96            15.73             16500.00           198500.00   \n",
-       "96        97            17.29             16500.00           198500.00   \n",
-       "97        98            19.40             16500.00           198500.00   \n",
-       "98        99            14.27             16500.00           198500.00   \n",
-       "99       100            14.77             16500.00           198500.00   \n",
-       "\n",
-       "    totalDistributedToAgents  totalMinted  totalBurned  run  substep  \\\n",
-       "95                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "96                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "97                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "98                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "99                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "\n",
-       "    AggregatedAgentCICHolding  AggregatedAgentCurrencyHolding  \\\n",
-       "95                   -1137.20                        19352.37   \n",
-       "96                   -1190.60                        19298.97   \n",
-       "97                   -1203.81                        19285.75   \n",
-       "98                   -1243.41                        19246.15   \n",
-       "99                   -1265.61                        19223.96   \n",
-       "\n",
-       "    AggregatedAgentSpend  AggregatedAgentDemand  AggregatedKPISpendOverDemand  \\\n",
-       "95               2937.30                2482.00                         13.00   \n",
-       "96               3159.83                2265.00                         66.37   \n",
-       "97               3279.11                2934.00                         10.01   \n",
-       "98               2684.56                1840.00                         19.34   \n",
-       "99               2701.91                2093.00                          8.65   \n",
-       "\n",
-       "    AggregatedGapOfDemandMinusSpend  \n",
-       "95                          -455.30  \n",
-       "96                          -894.83  \n",
-       "97                          -345.11  \n",
-       "98                          -844.56  \n",
-       "99                          -608.91  "
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mean_df.tail()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot of agent activity per timestep\n",
-    "plot_median_with_quantiles_annotation(subset,'timestep','timestep','AggregatedAgentSpend')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles_annotation(subset,'timestep','timestep','VelocityOfMoney')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','operatorCICBalance')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','operatorFiatBalance')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','totalMinted')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','totalBurned')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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OaMJLCPEigJ02r88C+I3Vrn/r1q0YHx/H9PR04M9ms9mOFibJZBJbt25tdjMYCyy8GIZhmLatXB+Px3HmmWfW9NnR0dG2zH9i2hshBIcaGYZh1jjtOcSKYdoQLifBMAzDsPBimAbBjhfDMAzDwothGgTneDEMwzAsvBimQbDwYhiGYVh4MUyD4DpeDMMwDAsvhmkQQRwvdsYYhmE6ExZeDNMgggivYrEYcmuYTkXTtGY3gWEYF1h4MUyDCDKqsVAohNwaplNh4cUwrQ0LL4ZpEEHqeLHjxdQKHzsM09qw8GKYBsGOF9MIWHgxTGvDwothGgTneDGNgI8dhmltWHgxTIPwK7yEEJynw9QMCy+GaW1YeDFMg/Bbx0vXdRZeTM2w8GKY1oaFF8M0CHa8mEbAwothWhsWXgzTIPwKL3a8mNXAMyQwTGvDwothGoTfUY3seDGrIcjoWYZhGg8LL4ZpEH7reLHjxawGFu4M09qw8GKYBsGOF9MIONTIMK0NCy+GaRCc48U0AhbuDNPasPBimAbBoxqZRsCOF8O0Niy8GKZBBKnjxQnSTK2wcGeY1oaFF8M0iCCOFwC+eDI1wY4Xw7Q2LLwYpkEEyfECWHgxtcGOF8O0Niy8GKZBBBnVCLDwYmqDw9QM09qw8GKYBhGkjhfAwoupDR4VyzCtDQsvhmkQ7HgxjYAdL4ZpbVh4MUyD4BwvphGw48UwrQ0LL4ZpAEpw8ahGJmzY8WKY1oaFF8M0ACWm/NbxAlh4MbXBwothWhsWXgzTANSFkB0vJkxYtDNM68PCi2EaQJBQI188mVoJ4qwyDNMcWHgxTAMwCy6viyI7XkytsGhnmNaHhRfDNACz8PJyvfjiydQKO14M0/qw8GKYBmC+EHoJL3a8mFph0c4wrQ8LL4ZpAEFCjXzxZGqFHS+GaX1YeDFMAwgSamTHi6mVIAKfYZjmwMKLYRoA53gxjcAstvj4YZjWhIUXwzQA8wXR76hGLoTJBIUdL4ZpfVh4MUwDCOJ4/fKXCdx77zAAdi2YYLDjxTCtT6zZDWCYtUAQJ+Kv/moTDhzoxuWXL+HCCzXE4/Gwm8d0COx4MUzrw44XwzSAII7X4mK0/J9dCyYI7HgxTOvDwothGkCQOl65HJX+R/jiyQSCHS+GaX1YeDFMAwhyQczn5WnJwosJivk442OHYVoTFl4M0wCChBqzWXa8mNoIMnqWYZjmwMKLYRqAX+GlaUCxqBwvYuHFBIIdL4ZpfVh4MUwD8OtEZLPC9JgdLyYY7HgxTOvDwothGoBfxyuTMd7jUCMTFHa8GKb1YeHFMA3Ab3J9Om28l8+z8GKCwY4Xw7Q+LLwYpgHU5nhxjhcTDC4nwTQTr4FDjCR04UVEUSJ6koi+XXp+JhH9nIgOEdG/E1FX2G1gmGbjt44XhxqZ1cChRqaZpNPpZjehLWiE4/W/AewzPf97AJ8SQpwNYB7AHzSgDQzTVPw6EWbhxcn1TFA41Mg0k5WVlWY3oS0IVXgR0VYA/x3Al0rPCcCVAL5RWuQOANeF2QaGaQU4uZ5pBOx4Mc2EHS9/hD1J9qcB/CmA/tLzYQALQohi6fk4gC12HySidwN4NwCMjIxgdHS0bo1aXl6u6/qY+tGp+yafz6NYlIf97OwsXnjhBdvlnnxyEMAuAMDCQg5jY2OYmZlpVDMd6dT90gmY900ulysLrkgkgqmpqSa2bG2zFs+ZbDaLI0eONLsZrrTCfglNeBHRGwBMCSH2ENHuoJ8XQtwG4DYAuOyyy8Tu3YFX4cjo6CjquT6mfnTqvnnxxRcxPz8PABgeHsa2bdtsl5ueNu4YI5EejIyM4JJLLmlEE13p1P3SCZj3zaFDh5BKpQAAsVgMO3fubGLL1jZr7ZwpFArYu3cvdu3a1eymuNIK+yVMx+sVAK4loqsBJAEMALgVwBARxUqu11YAEyG2gWFaAr+hxmzWeJzLRSCEgK7riER4ADLjDed4Mc2iUChA13VomoZoNNrs5rQ0ofXmQog/E0JsFUJsA3ADgB8KId4C4BEA15cWuxHAvWG1gWFahVqS63M5eXpyrg7jF+txxsP7mUaRz+cBSAHGuNOM2+gPAXg/ER2CzPn6lya0gWEaSq2OF8DCi/GP9dhi14tpFCy8/BN2cj0AQAgxCmC09PhFAC9txPcyTKvgt46Xea7GXI4AsPBi/GMVWrquc9iHaQhKcLHw8oYTRximAfgNNWazVH7MjhcTFKuo52OHaRTsePmHhRfDNIBa63gBfPFk/GPneDFMI2Dh5R8WXgzTAPwKr1zO/FiennzxZPzCjhfTLDjU6B8WXgzTAPwO889kjMec48UEhR0vplkox0v9Z5xh4cUwDWA1jhcLL8Yv7HgxzaBQKJSPPXa8vGHhxTANwH9yvfFYFlDliyfjHy4nwTQDs9iqVXitpWOVhRfDNAD/dbyMUY26TigWiYUX4wshBDteTFMwhxd1Xa9JRK0lp4yFF8M0AP91vCqf53Luwitnjk0yaxq742otuQhM87DmddWS58XCi2GYuuI31KgS6hXZbMRVeKkJkRnG7rhix4tpBFbRVIuIKhaLa2aKKxZeDNMAapkyCJB5Xk4XT03TsLKyUpf2Me0PO15Ms7A6XLUILzXB9lqAhRfDhIzdBdFJfFkdr3zeWXhlMpk1Zc8z7rDwYppFPYSXpmksvBiGqQ92Fz+nC6JVeLnleKXTaRZeTBkONTLNoh6hxlqT8tsRFl4MEzK1OF59ffJ9txwvdrwYM+x4Mc2CQ43BYOHFMCFTi/AaGhKl5xHoum67fDqdhqZpfHFlALDjxTQHu6R4Fl7usPBimJAJ4kQo4bVunXpuX71eCIFsKRO/WCzWq6lMG8OOF9MM7EpHcKjRHRZeDBMydp2Jl+O1fr16bi+8crlceb0cbmQAdryY5lAv4cXJ9QzD1I3aQo2Vz60dUjqdLj9m4cUA7HgxzcGu/6klBYJDjQzD1A2/F0QhDIfLy/HKZDLlxyy8GMD+OFsrFzKmeThVqQ/aL7HwYhimbvh1vIpFOT9jLCbQ1yedLhZejF+cQtprpRo40xzqKbzWikPLwothQsZvHS9VtT6ZBLq73YUXhxoZK04Ca61czJjm4NT/BO2XOMeLYZi64dfxqhRe8rFdjlexWKzo1Fh4MYCzwForFzOmOXCoMTgsvBgmZPwKr0xGvlYpvKodL3OYEWDhxUjY8WKaAQuv4LDwYpiQ8Ztcbye8stlq4WUOMwIsvBgJO15Mo7ErnqrgHC9nWHgxTMj4reOVTsvlzMIrn/fneHECNcOOF9NonNwugHO83GDhxTAhEzzHi1xzvKyOF8DV6xln4bVWLmZM46mX8FKjb9fKscrCi2FCxm+o0c7xsuZ4macKMsPhRsbJ2WLHiwkLt34nSJ+kjtG1cqyy8GKYkKllVGMyKR9bhVc2m7X9LAsvhh0vptG4OV5u+V9WlOBaK8cqCy+GCRm/dbzSadlJdXc7J9fbhRkBFl4MO15M43ETXoD/fsns6K+F45WFF8OETD3LSVgT6xUsvBh2vJhG49Xv+O2XzGKLhRfDMKtGJo4CN998Br785U3l16zYC6/K5HoWXowT7HgxjaZejpf5GF0LNwosvBgmZIQQmJ6O4/77N+DOO0cA+JkySD5W5SR0XYcQgkONjCPseDGNhoVXbbDwYpiQ0XUd6bQ81TIZ+d8+ud451CjfzzqWjWDhxbDjxTQSP8nzXsJMYRZbLLwYhlk10qmKApAOVrHof65GlVwPAEtLS47fwcKL4QKqTCPxI6o4x8seFl4MEzJCiLLTBUgxZT9lkPxvl+MFAMvLy47fwQVUGQ41Mo0kLOG1Fo5XFl4MEzJW4ZXJRAPV8VKLugmvtTTBLGMPhxqZRuJHVLHwsoeFF8OEjMzxipafp9P2jpdZeMViQCwmIAShUJCuV72GbjOdCTteTCOpp+PFOV4Mw9QVmeNldrwino6X/C+XMSfYu8HCa23DjhfTSPz0N36r13OOF8MwdUWGGg3Hy0+oUf5XwouqlrWDhdfahh0vppH47W/8LMehRoZh6orV8fIKNarEena8mCCw48U0EhZetcPCi2FCRtf1irIQzqFG6WwZjpf8z8KL8YOT4yVnTvA3WTHD+MXvSGo//ZJZbK2FGwUWXgwTMuY6XoBzqDGXk/+V4OruZseL8Y+buFoLLgLTWOopvNjxYhimrtgl19uHGisdr0RC/uccL8YPbk7BWnARmMbhN2keYOFlBwsvhgkZax2vdNo+1OjkeJnDlG6w8Fq7eF0E18LFjGkcQQo2s/CqhoUXw4SMtY5XJhO1dSCUs8U5XkxQvIQXO15MPQnS1/gRUlxOgmGYuiKE8JVcbxVeanRjPu/vNNU0bU10Wkw1Xvt9LbgITOMI4nj5Ofa4gCrDMHXFbwFVJ+HlN8cLYNdrraKOJyGA55/vrjpmWJAz9SSI8PKzLIcaGYapK9WjGu2T652El98cL4CF11pFHU+PPTaA3//9C/BP/7S54v21cDFjGkeYoUa7550GCy+GCRld1y3J9VKEWV0vZ8eLhRfjjjqWJia6AADPPttb8X6nX8iYxjI+LnDffcPwY3x5CS+7OnOdfqMQa3YDGKbTsTpeysESQoDICAmtNrkeYOFlZWlpCf39/c1uRugoYaWOlWPHEhXvd/qFjGksn/hEP77xjQEMDhbx6lenXJf1Ovbs3tc0DfF4fFVtbGVCc7yIKElEjxPRr4joWSK6ufT6mUT0cyI6RET/TkRdYbWBYVoBXa8uJyFfN1wIIYyLphJcPT3yfxDhFST3otPRdR2HDh3C4uJis5sSOsoxUMfKzEwXVlaM44YdL6aenDwpbyRnZ73FkRDCVXzZHZudfqMQZqgxB+BKIcROABcDeD0RXQHg7wF8SghxNoB5AH8QYhsYpunkcoCuG86WXahR1fBKJASUCdbdTaX3OLm+FnK5HHRdxwsvvICVlZVmNydUrMILAMbGDNer0y9kTGNZXJR90spK1GNJSVDhVcuNQjv1faEJLyFZLj2Nl/4EgCsBfKP0+h0ArgurDQzTbKzFU4HKUKPxmvyv3C6gNserXTqfRjgwuZKaVc5XVm3kDkRtT/NAjGPHklXvM0w9WFyUx5l5tLYbjXC81PneDoSaXE9EUSJ6CsAUgIcAvABgQQih4iHjALaE2QaGaSbm4qmJhOxg7EKNdsLLcLw6T3jNzs6G/h3mjrhYLOLgwYPI5/Ohf28zMBwvwx0153mx8GLqhRACS0uyT1te9ud4uaVAOOV4BaWdhFeoyfVCCA3AxUQ0BOAeAOf7/SwRvRvAuwFgZGQEo6OjdWvX8vJyXdfH1I9O3DdjY1I4DQ1lMTnZg0wmgsnJSSwuLpaT60+eTAK4AkAOo6OPlT53CoALkErlMTk56eu7iMj3skGo534RQiCfzyORSHgvvAry+XxVhz8xMYGkWd12AMvLy3jiiSeQy+WwsDBSfv3550X5WJiZmcHRo0eb1cQ1SSf2ZYASXq8CAMzM+OubFhYWEI3aizRN06pE0/z8PGKxYPKkWCz6+kwr7JeGjGoUQiwQ0SMA/huAISKKlVyvrQAmHD5zG4DbAOCyyy4Tu3fvrlt7RkdHUc/1MfWj0/ZNoVDAkSMvAACGhwWmpgRyuSg2bBjBS16yHT2leOL+/XL5oaFE+ffPzMi7PqJujIyMVK3biUsuuaRitGQ9qOd+OX78OFKpFLZv316X9Tnx/PPPY2lpqer1s846C0NDQ6F+dyMZHR3Fjh07cPjwYRD1lF+fnh4qHzd9fX0477zzmtXENUmn9WWKubk08nkponS9z1fftG3bNgwPD9u+Nz8/jxdffLHitS1btmDTpk2+25TP5zEzM4PNmzd7LtsK+yXMUY0bS04XiKgbwFUA9gF4BMD1pcVuBHBvWG1gmGZjzvHq7dXQ3W3k4tiHGg3BpB4HCTUCrT+ycX5+viEhUafQQ6tvn1rwyvHi5HqmXszOGuePeeSsG27nXD1yvIrFYlsd42HmeJ0K4BEiehrALwA8JIT4NoAPAXg/ER0CMAzgX0JsA8M0FZnjJU+z7m69LLys0wal0/L1yuT62oRXK+d5pdNpZLNZFAoFz4mdV4MKZ9rRicLLblRjKqErs04AACAASURBVBXDwoJ0JtrposS0NrOzxrFkrk/ohtvxV48cr3YTXqGFGoUQTwPYZfP6iwBeGtb3MkwrIR0v2TlJ4aUBiCOdjlbc6WUy8sLZ6cJrbm6u/LhYLIZWJNEt0bYThZe1gKpibCyJoaGVjvzNTHOYnzf6Lb/J9WGXk9A0ra2EF08ZxDAhYp4gu6dHc3S87IRXLZNkA60tvObn58uPw2znWhNe1lGNW7fK2LUa2ajreqgOI7N2mJ01RFFYdbw63fFi4cUwIWLO8XILNboLr85wvJaXlyvCf2GWdlirwkvleJ1zTgZAZZ5XJ/5upvEsLBj9VivleLXT8c3Ci2FCxFzHq6dHQ0+P7FAymcpQYzotOzMltsyPgwqvVMp97rRmYQ4zAuEKRLdiqe3UQfvFGmo891wlvLh6PVNf5ufNualR+DFSw87x4lAjwzBlnByvdDriWbm+VuG1srKC5eVl7wUbiBCiIswIcKixnliT6885Jw2AHS+m/pjv63SdKkbSOhF2jheHGhmGKWMWXj09tYUa/XRsVsIooroalpaWqi78LLzqh7WchAo1jo0lyo5EO12YmNZlYaEy59Qt3FgsAj/+8WBFQr4VzvGygYge9vMawzDVyOR6NarRnFwf9ZwySD3O5SK+7HwzCwsLLTWFhjXMCIQnvNxKSQCyU++0RHOr4zUyksfgYBHpdBSzs3LweicKTqbxpFKVwsttZOMPfrAO73//2fjSlzY6LlMP4aWWbxfx5Si8iChJROsBbCCidUS0vvS3DTy/IsP4Qtf1ilCjyvGyhhrtHK9oFIjF5OuFgr+Rjbkc4Uc/GkQ+T5iamqrHT1g1QggsLCxUvR6W8Mrn857CqtNEiK7rKBYBTSNEowKxGHD66Wpkozyo2uWixLQumqZheblSNriNbDx5sgsAMD4edzwn7Y7LWkKNTutqRdwcr/8BYA/k/Ip7TH/3AvjH8JvGMO2P2fHq6dGRTHpVrq/8vFreb57X/fcP40/+5GzccssZmJ2dbYmOKJVK2bYjLOHl5fRpWucJLyFEOcyoJmM/7TS5HVSCfaf9ZqbxFAoFLC1Vlv90K6K6uCiXTaVijn2Rk8gK0nd1jPASQtwqhDgTwAeEEL8mhDiz9LdTCMHCi2F8UJlcr6GnRyXXRz2T6+XzyvpMXkxMyIvsd74zjCefTGJmZmY1zV81QghH561YLIYS8nMb0fi5z23GVVftxNGj7dFB+8UsvJRYZ8eLqTfFYhFLS1JoDQ5KseOW46WWTaVijsK/HsKrY0KNCiHEZ4no5UT0+0T0dvXXiMYxTLtTnVyvykl4j2qUzyvrM3mh7jAB4BOfOA0nT04FsvjrzZEjR2wnqgbktgnDhXFzvH7600EsLsawZ0/dv7ap6LpedkWV43X66fVxvBYWFjA7O1uHVjLtTrFYLOd0jYzIPEq3HC+z8ArqePkNN5pzNtvF1fWTXP9vAP4fgF8HcHnp77KQ28UwHYG5jpe1gGplqLE6xwsAEonqOfjcWFw0OsF9+3rxjW/02+ZXzc3N4dChQ/5/SA2MjY3ZJtWbqSXc6NUhuwmvyUmZczI1FSyHpNURQtgIr9U7XoVCAUePHsX09HSdWsq0MzLUWCm83HK8VFhyYSG8UKNZbLWL4+VnrsbLAFwgOm0YEMM0AP+hRhlKdA41+hNeqZQ8pd/0pmncc89GfO5zW3DttUdw+eXrAMhO7tixY5idnUUikXBb1ao4efKkr+T+WoTX0tISEokEktaNVcJJeGUykfL2aXIEtu5UOl7ymFE5XuPjCeh6bW7A4cOHy1XB0+k0enp66tdopu0whxo3bfIjvOR7uVwES0tFDAxUL+MklvyKKPNy7SK8/PTmewFsCrshDNOJVM7V6BxqzMiySxWV64Hgwks5XtdfP42LL17C/Hwcn/rUAFZWVpDJZLBv375y2CisTmpmZgYTExO+lq1FeKXT6apirGachNfkpDEhd6tHzoJuF7scr95eHRs25JHPRzA52RV4f09OTlaEidn1YtLpArLZKCIRgY0bC6XXvHO8AGBmptq7cXOvO9nx8tObbwDwHBF9n4juU39hN4xhOgFNE8hmZeeTTDqHGpVWWG1yvcrxGhws4oMfHEMkInD33afg4YdPYP/+/RWJ50GHbPthYWEBx44d8718LcJrZWXFNnwKuJeSUEPbAWB2NtjE440mnU4HWl46XvI3qVAjYOR5HT2aCHRRSqfTVeJ5bm6ubS5sTDioQqj9/Rp6e+Wx4MfxAoILL7/9U6cKr78EcB2AvwXwD6Y/hmE8WFlRczBqiETgWLneOble/g8aahwc1HDeeRm86U0z0DTCLbecAk2r7MjqLbwKhQKOHDkSaKRircIrnU7bFkl1G9HYTsIroyxQn9iVkwCMPK+xsaTvUKOu6zh8+HDVftR1nZPs1zhzc/LY6uszhJdTcr0QqCg9EZbj1ZGhRiHEj+z+GtE4hml31JSJKrfLaZJs5VZYhVd3t/9QYzZLyOUiiMeNemHvfe8E+vuLePzxAfzoR4NVn6lnRzU2NhZ4fUGFVz6fLwsIO9fLT2I9AMzPt+5saZqmuVbet8OcXK/2PVBZy0sI4Utsj4+POwpYDjeubdQE2f39RfT1uTtemUwEmmbc4Nhp9qCTZ9vRkY4XES0R0WLpL0tEGhEtNqJxDNPurKwoQSUveGE6XurucmBAA5X6u6EhDe9850kAwEMPra/6TL1cr1Qq5Zp35URQgbGyslJ+bPd9bsLL7HjNzzuHR5pNoVAILEh1Xa/K8QKAM86oHNno5Xrpuu4qrrLZrGN5EKbzUfc60vGSx5mT8DKHGQHAboBzvR2vdikn4TmqUQjRrx4TEQF4I4ArwmwUw3QKhuMlOwclvKxTBnk7Xt6hsVSqsrCh4swzs6W2VHeQ9RBeuq5jbGysps8GFRjm3Kfl5WUUi0XEYkY35tfxWljoLOFlV04CqK5e73Ux8/O909PT6O/v91yO6Szk1F/ysTnHyym53iq87ML7nOPlAyH5FoDXhdQehukolPBSgsuYMiiKYtFcx8upnIR63/tUVYn1AwOVwss8ktJKPTqqEydO1Dwhd9A7VLPjBVSHG/06XouLUeTzrdlJq/INQbArJwEAW7fmQCRw/HgCxaL39vbzvQsLC6FN98S0LubiqX19Wvlm0tnxqvR15ueDCa+1Hmr8bdPf9UT0cQDOGawMw5RJp2VnozqpSARIJtWdorGck+MVJNSoSkkMDFR2Pm4hgdU6XtlsFpOTkzV/XggR6CJuHe3nV3gJYTheiYQOIQjT060ZlqjV8bJLrk8kBDZtykPTCBMT3iMb/XyvEKLpU1ExjccsvPr7Nc8cL6vjZZdXWY8cr45MrgdwjenvdQCWIMONDMN4oHK8lOMFwFRE1Tj9nEON8n8+732qGiMaG+d4HTt2zHUU4759PfjIR7Zhbs45q8GvyMhms1XtXVxcLL+Wz+cdheTCQgy5XAT9/UWccorMK5ucDK+TXo2gLRaL0HU98L4xjqHK71YlJcbGEp6Olt99MTMzE8o8m0zrYp4gW4Ya5XHmNKpR3QiqkKRdXiU7Xg4IId5p+nuXEOIWIYR3SWqGYWyFl3psjpp5CS8/OV7qDtPJ8bLLxfArELLZLI4dO4a5ublyQvzs7KxnovV//MdGfPe7w7jrrlMcl/F7sberbSWEQCqVAuCV3yWLp27alMfQkOyow5w2KOigATNqewR1vexyvACjpMTRo8m6OF6A/H3LKo7OrAnMVev7+4tIJnVEIjK30E7PK0G2das8LxcWgvU/teR4+R2522z8hBq3EtE9RDRV+vsmEW1tROMYpt1R4kqFGgHDgVKiDADyeS/h5d/xcsrxUnNGmvFzh6hpWnm02+HDh/HMM8/gmWee8ZVQrzrqRx+tLmWh8Huxt+Z3KVS40U9+l1l4TU+H10GvZnSV+mzQddiFGoFgjpfd+5OTcTz/fHfV6077g+lMzPM09vXJkdNGgn1136JyTpXwspsou96jGoN8rpn4CTV+GcB9ADaX/u4vvcYwjAcrK2qexupQoxJemgYUCoRIRCAer/y8El5BkuurQ43mavmVn/Fzd2i3TDqdRzrt/VmV//H88z0VU/aYWa3wSqVSpeRyb+E1MmIIL7uCjvVC07SaLwBBHS8V8rMrJwEAp51mlJQI6nhls4SbbjofN954PqamKvdf0CKvTHtjTa4HzH1ZtfBSIk0df3bCa7U5XpqmVYW8O0V4bRRCfFkIUSz93Q5gY8jtYpiOQIkr1UEBxoVRJd6ba3iRJaIYxPFySq6PRmVCvxBUJeD8CC9rR1YoEN7znnNx9dU7ysLSCXOH7OR6+U3ozmQy0HXgz/7sTHz601vKIlLXdSwtLfkqJbFpU74sTMOsBdpI4aWwK6AKGJMZz8zEA+d43XXXKZic7EKhEMGePZUlJIJOa9QMOA+tfhQKhYrkegCmaYOq+wG17ObN8vizG0m82lCj3fHcDrW8/AivWSJ6KxFFS39vBcDzRjCMDzIZleNldDgq7KhyrpyKp8pl5edXE2oEnPO8/N5VmvnSl07FU0/1I5WKYWIi4fpZc+LtaoSXFF06jhxJ4qGH1uPOOzfhC1/YXH5/fn7e13RBIyOFsuMV5uw3KjxbC+rCUXuOV6XYGB5Wvzfuub/NF61UKorbb99Ufv7kk30Vy2az2ZbPp3E7JphgVOZ4yeNIOV92CfbKgR8aKqK/vwghCDMzwYSXl3C2O547xfG6CcDvATgJ4ASA6wG8M8xGMUynYHa8iCoT7e0cLytGOQnv5HrleA0OVnc8TnleQR2vZ57pxZe/bFyMnUY0Kcx3wo8/PlCuV2bGj8BQ7sqJE0Ytri9/+VR861vDAGS40a/jpYTX3Fx48zXW6niZBVvQUKPdJNmADD1HowKpVAzptH/H6/bbN2F5OYZNm+R2tQovoPXDjSy86ocUXsaoRsA9x8ss0gyXOdh8sUFuFPx+phXwM6rxqBDiWiHERiHEKUKI64QQxxrROIZpd8w5XolEovwYUDlXui/Hy085CacCqnI9tTteqnPMZCL46Ee3QdcJRPJi71TDR6HeP/30LHK5CJ54orriuR+BofK7lPBSYuDv/u4M/OxnA+USDE7Y5XjNzoY3X6Ou6zW5QeYLSa3J9dZQYyQCrF8vt/H0tPNvNou+yck47r5bjkS95ZbDSCR0HD7cjfn5yrIgrRxu1DStLcJO7YI51KicLiPU6Ca8iuWbQWtepVf/43UOdazwIqIzieiTRPSfRHSf+mtE4xim3VFCp7tbQzweRywWMwmvaKnwpVzWTXj5Sa43Qo3VHY8R3qzd8br11i0YG0virLMy2L1bjiR0c7w0Tf5GIoHf/E05UZtduDGI8Dp+XIrX666bwTvfeQKaRvjwh3/NdtSdoliU+U1EAqecki9fBObmwhNetTpe5m1Rr3ISADA8LNflVuvWfBH74hdPRS4XwWtfO4edO1dw0UWydMRTT1W6Xq3seOXz+ba4CLcLuVwRKyvyfFaCy0iurz6X7ByvmZn6Ol6dHGr8FoAjAD4L4B9MfwzDeKCEV0+PjlgshlgsVpHjVel4VYe+/CbXF4vyrjMSMTpFM6txvDRNw549G/CNb5yCWEzHX//1YaxfLztSN+GlRF5vr4ZXvlLW2nr00UFY0zaEEK7OhNxGciMpx2vz5jze+97jeN3r5rCyEsX73nd21ag7xfR0F3SdsGFDAbEYyo6XXSXtelGr8DJvh/oKL1W7zHl/qe87ciSB++7bgGhU4L3vPQ4A2LVLCq9f/rJSeLWy41UoFNriItwOyAEssn/q7dUQiQDRaLTc19j1AyosOTBgFl7V63VjzYYaAWSFEJ8RQjwihPiR+gu9ZQzTAajk+p4eDdFo1OJ4RXw7Xl45Xubci4jNWb0ax2tmRsenP70DAPCe9xzHuedmXDtchboL7u3VsX17GsPDBZw8mcALL1T/UDeRkU6ny3lMSnidemoekQjwsY8dwa5dS5ia6sIHPnBWlagDKounAobwSqVioY16qzXUaN4OfsNkRo6XfagRMBwvtwR79d2f//wW6DrhjW+cwRlnyJCuEl52jlerjhxk4VU/zDW8VH5XIpFwnDZI01DhjjnlVYYhvNohvOxHeN1KRB8jov9GRJeov9BbxjAdgBFqNByvWkKNXo5XKqUS6+07HSOhP3g5ib/4iwHMzSWxY8cy3vY2GasyOlzndilRpu6QX/5y6Xr95CdDVct6CS/FiRMy1HjqqVIQdHUJfOITL2BwsIjnnuvF2Fj1KEtz8VRA5pwQCSwuRpHLhXNhrofj5eUEWnHK8QLMwivmuM5CoYC9e3vwwx+uQyKh413vOlF+76KLVhCNChw40IPlZWOfe9VPayYsvOqH3YjGZDLpmFxvPfdVv2QdSbzaHK9ODjVeBOBdAD4OI8z4/8JsFMN0CvbCqzLUqAqRrkZ4uSXWA0YSbCZjvTN176SEAO6/X8Y7b775CKKlj7sNI1eou2C1rDncaMVNeKn8rmyWMDsbRzQqsHGjsfzQkIZLLpFTF/3qV9Uj78yJ9QAQi8mLhxCEqalg4Ty/1CPHy+65G0bl+moHyo/jVSwW8fnPbwEAvPnNkxXbuLtbx/btK9B1wjPPtEe4kYVX/bBLrJfCyz7Hyzp9mZFXGb7j1Q773I/w+l0AvyaEeLUQ4jWlvyvDbhjDdAJK6PT0aFWOVzYbKRUGlRdKO+HV2ytPUW/hZV88VWHMDxnM8cpmgWKREI9rOO00w9nwI7zMd70A8LKXLSIW0/HMM71YWKj8nB/Hy+xcRS1fu3OnDIX96le9VZ83l5JQhD1tUD1CjXbP7RBCQAj3HK8NG+R63IqoplJFPP74AOJxHTfeWJ2F3255Xiy86oe5lIScLoiQSCTKKQzWUKN5WcBwvKx5lSy8nNkLoDo2wDCMK0IIW8fLSHSPlpYRpWWq19HdbThebqk0akSjU6ixVsdLzYNsLgBrXp9bOQn1nlq2t1fHJZcsQ9cJ//Vfla6X06TSmqaVE+utIUMzO3dKV8zd8TK7ZCrZvHVDjYB/x0vlAMbjum2On58iqseOyQNsZCRfDieZccvzakVYeNUPa45XLBarSK6vFl6VYUmnAS08qtGZIQD7iej7pnIS94bdMIZpd3I5HYVCBNGoQFeXMCXXKxHkXccrGiXE47JzUhNp22GEGt0dr6A5Xmp6xESicr21hBoB53Cjk8BYWloqP1alJDZvrs4pOv/8dLnWlMp3U9g5XkqgTk2Fkxhea+V663bwm+PlllgPVIYandY5Pi6PL7NANXPxxcsgEti7t7disAc7Xp2PeZ7G/v5i+SbSKbnecODlsabOt4WFyvxAL9ZsHS8AHwPwJgB/C+CTAH4B4OwwG8UwncDysnKyNBDBJrneO9QoLX25vFu40drRWXGrMO3WuSnh1d1duV5/wssY1ah45Stl/S9Z9NRY1kl4HT9+vPxYjWjcurWIuGU28Xhc4IILZGOffrrSkbHmeAHmUGN4oxob63g5hxkBa3K9fbsmJuQ6zNvJzMCAhrPOyqBQiOC554yQbrFYDFz6ohGw8Kof1uR6w/GyT2Gw5oMZwsvoL2qZrszP++2wz/1Urv8RgEUAbwBwO4ArAfxTuM1imPZnaUle1FVoMRaLIR6PV4QavRwv+XpluQA7vEKNTo4X4N5RqVBjMrn6UCMAbN2axxlnZLG0FKsIC9pduOfn5yvCWIbw0rF58+aq5e3yvNLpCBYXY+jq0rFunbFtwpyvUc0xF/QCYCfW/OZ4Oc3TqOjp0ZFMashmo0il7Nt1/Lhch10oV9EueV7KcWyHi3A7YE2ut9YkdMrxUg68uYSLrstjNOh0ZXbv2ZUy8TPHY7Nx7MmJ6NxSGYn9kMVTjwGgUnL9ZxvWQoZpU5TwUuEfa6jRT3I9AJPj5RZqdE+uN4s9K34cr1pCjdbkeoUqK7FnjzF9kFVgCCEq3C7AKCVx2mkahoeHkbRsMLs8LxVmHBnJozRVJrq7ux2Ht9cDdbEIGmq0C5v4dZKMEY3230lkJNifPFn9vqZpZWHr5HgBwCWXSOFlnbex1YSXebvVw1lZ65hzvPr65Cwcbjleqj/q75fHdDIpkEjoyOcjWFyUr6021OgWhm/1Wl5ujtd+SHfrDUKIXy+JLT46GcYnhuMli6cSUUWoMZ32LqAKGC6G27RBXuUkzNXyrfhxvJxCjSsrUcekfzvHCzAu7KojB6prVs3NzVVNcKyEwWmnyQnHt2zZUvH+jh2ysc8914tCQaosu4T83t7eUOdrVNsz6MXcTmQFTa53yvECjAR7O+FVKBQqRKoTu3bJnLunn+6rCBW3WoK9ebCGn/0wPT3d8i5JM5HCyyjSHIvFQEToL907WfsBa6gRMOdV+r8x8XK8anmvFXDrdX4bwAkAjxDRF4noNwC4l89mAtPqypypHSVa1HRBABCJRNDTI1/PZiMoFnVPx0tdTN0myjZCjfV1vFSemjXUGItJd0XTyFEQ2nW+cl1GjpsZJTLs3K5CgTA9HUckIrBli2zT0NAQenuNsOLgoIYzz8wgl4tg/365ka1V6+PxOLq6ukyjrIJ1ac8/D3jVC1XbM2jnX2sVbine3ZPrASPP6+TJ6t8shVfltrJjw4YiTjsti3Q6iuef7ym/3u6OVzqdxuLiYphNaltUyNZIrtfK/Vl3d7TcD5gdeWsdLwCmaYPk+btaJ9Lt3Ghb4SWE+JYQ4gYA5wN4BMD7AJxCRF8got9sVAM7nXw+z+KrQ1lZUcn1hvACgEQihkRChxCEdFqUL+RejtdqkuuV42UVO4CX42UvvADvcKPheFWKAXMdMzPqYjkzM1NVXmJyMg4hCKeckkciYXxu69atFcvt2KHCjVKQWRPrE4kE4vG4aQoT/47Xgw8C550H3HKL+3K1hhrt3K1isejLifFKrgcM4TU1Vf2b83mz4+Xusl18cXW4MZfLtdTFrpZQ4/T0dJhNalvUtjSS64vl/swp3KgceHNZEiW8pqfr43h1pPBSCCFWhBBfE0JcA2ArgCcBfCj0ljWYZtnMhULBsYYR096oSgiqeKrCnOe1sgKoKI13cr13OQmn5HrleNklw7t1gIuLqqp+9Xq9hZca1VjZCZqnTDJTKBSg6zpOnDgBK6qUxKmn5hE1VU/t6+vD4KBRmsJIsJeiwFpKoqurq0J4zc8756hZ+c//lP/37XNfTnX6QohA4ssprOgn3BjE8bITXrOzGjIZeRG1OpRWnPK8wgg31tovBxVexWIRqVSK+2Ib1DaxJtcDcEywN5eeUCg3Xk2Uvdocr04NNVYhhJgXQtwmhPiNsBrULKyhjUbRqkOxmdVj5EfpFWLBXER1eRm+RzU6hfR0HRWJr3YMDcn37RyvWkKNADwnyrar4wWgopyGmUKhgOnpadvzwTw5dtRStt6c62UWXkJUF09Vjpe6CCwsxHyLox/+0NhnbpjXF0R4uc2h6IUfx0sl109PV++vo0fl58yDEJxQeV5PPtlfkdcTRrhx2WtjO1Brcn0zXK9W7/+rHS+tXM6lsqSE2fGqLKAKVIca/ZwbxWLRdYorJzpKeHUyqVQKs2EMcfKAHa/OxSy8rI6XciaWl4M4Xvan68pKFLpO6OsrwvQ1FQwOJhGNCuTzEVj7q9WGGp0mynZKrjeP6jSTzWZx0i7zG+7Cq7u7G8PDwwCA00/PYd26Aubm4hgfTzg6Xmqi7KWlKLJZ71D/8ePAwYOyvV5awLw9g1wAnC7AXqkIfspJAEZy/cxMrMpJOnZM/ndLrFds2ZLHxo15pFIxHDhgTLcQhvDKZDI19Y+1OF4AMDs72/DoR6sNTLAinejKUcpmx8sINRrnszkRX2EdSez33HAS3yy8OoSxsbGG330UCoWWv+NhasNIrq8ONRr2vJGsbTdlEOAtvFSldqfEegDo7e0xjWysFC61Ol7+c7z8JdfPzc05dqZGqDFXJbwAlOt6ERl5Xk891Vc1Ui+RSJRqEMnEXyEI09PewuuRR4yLcVjCa3WOl7Sp/OR42U0bZFSt9xY5RMDu3bIQ7j//s1FPLQwBkc1mkfMazWBDrY5XoVDAwsJC4O9bDa02MMFKoVAojcCmUl+G8jnolOOl+gRzzqlVePl1g82zV5ipNf+rFUavsvAyoWkajh492tDvLBaL7Hh1KG6OVy2hRifhZSSyOnc23d3dppGNletx68BUnxc0x0vXjY5Yfa/RFnvh5dYhqpChneMFSCcrkZDiTIUbf/SjQeRyEQwMFMttSCQS5bIexvB27wvAQw8ZF/IgwqsVc7xk9frK/WlUrfd3E/iHf3gCPT0afvKTITzxhMz1ymQydb+o5XK50IWXdVs0OtzYDo6XdUQjleLRdtMG5XKEXC6CWEyvcGCNAS3ys6sVXrU6XrVM5VVvWHhZcAs5ptPput8NsePVuajio3aOl7pAptNkqsFkvx71ulNyvVfxVCJCMpmsyfFSvyFojpcSd729WtWkzU7J9W4cPy6F1+bN9sJLtlFuKCW8fvpTmXSvXBwiKuemmBPsp6e9O+LRUWPbKxfQCfP2rEeo0at/qAw1Ov+W9evVgII48vnKdk1MyG3qVkrCzPBwETfeKMPCn/rUadB1VdYi6/HJYNTieFnnyQw67czS0lLdf4cTsoByawuvfD5fDh2aE+sB6XhZB+6Yc8HM+YLKkVcjif0KoEwmY7sPaxFerVLVnoWXDdaQo67rGB8fx/79+zE3N1fX7+Icr87FmOewMrleThukRMvqHS+v6YK6uroQjUYdpw1yuzC5CS+nCXIB56r1gHM5CSeKRWB6ugtEAiMjzsKruxSr3b49ja4uOUE5UJnfpe7UZYK9P8fryJEijh6No6vLX3J9LaFGtymGgjhebsIrHhcYHCxC06hcxFJx8qQ8hvyEGhVvecskRkbyOHCgBw88sB5AfcNml7bKUwAAIABJREFUuq4jn88HFl7W7RXU8QJkSZNGoGlay/f/5qr15lISgH2Ol11+F2D0T/Pzcrkg54ZdnlctoxobJai9YOFlg6ZpOFbKNk2lUnj22WcxOTkZyt0Jj2rsXJaX5UXeLtSoxMfKShDHyz3U6OR4JZPJUuHW1ThewUKNTvldgJFcLycJd/zqMlNTXdA0woYNBXR1CU/Hq6tLYPt2QwCYhZciFouVHS+va+wDD8iNcOmlMuSxsiJDqU7UEmpc7fQnfkKNgBFuPHHC2PDFYtFX1XoryaTA//yfEwCAz39+C7JZquuFTa0rqDAJKrzs3p+dnW1ISErTNGia1tK1HK3TBVkdL2uOl9nxMmNMlB3M8ZLrrA431uJ4dbzwIqLTiOgRInqOiJ4lov9den09ET1ERAdL/9eF1YbVsLCwgP379+PQoUMVJ34ul6ubVammSbFa40xn4BZqNNwnIJt1F14q6d4rud6peGoikSgJL3vHy114qbYFCzW6CS+ZnCug61Se2scNFWY89VR5HnoJL8AINwKVifWKylCj+/msykhcfvkSkkmZkO92/1VLqNEsFkZHB/GRj2wrHxdBykl4CS9VUsIsvHI5o2p9EOEFAL/1W3PYvn0FU1NduPPOkZrysZxQF8lmOF7FYhHz8/OBvrcWVNta1fVS1ya7UhKA1fGyCq/K7WoIL/n+aoVXLY5Xq4R1w3S8igD+RAhxAYArAPx/RHQBgA8DeFgIcQ6Ah0vPW5IVdeU0UU/Xy3zCt+qJx9SOEi1ujtfyMnlWrvcqoOpVPNUQXvaOl3uoUf2GYKManarWK8yulxfmxHrAWXh1m4aFmoWXcryswkttL5Xsa0c6ncZjj8mpcS67bKliUIQTtTheZrHwla9swne/O4zR0aGq9+zwW04CME8bZLx24oSGYjGCwcFi+VjzSyQCvO994wCAO+7YhLGx+jk3Sni51XKyw9qXeu0DTdNsS6I0Ygoh9bvqKVjriVvxVECei9aUAyfHS+Z8yRIuxWIw4ZVOpyuul5qmuRoga1Z4CSFOCCF+WXq8BGAfgC0A3gjgjtJidwC4Lqw2hEW9dp65Q+VwY+ehREtvr46IKcPcXLneT3K9l+PllVyvBEdvryh9p3/HK51Wbau+oKqC8XY5XupC5lTQ1Wlkox2qlMTmzfalJBSRSKQcTqx0vOS5ZQ41mh2v2Vln4fX00wuYmEigt1fDueemTYLZub215HiZLyrz87HSd8vRgmquPDf8lJMADMfLLLwOH5br9ptYb+XSS5fx6lcvIJOJ4tZb19e0DjvMYiSIMAnqeN19dwy7d1+Mhx8ecvz+sGh14aW2pd08jUDlCG2vHK9o1Oij5uaC19oy53l5hWad3m+VUKNDucX6QkTbAOwC8HMAI0IINSfISQAjDp95N4B3A8DIyAhGR0fr1p7l5eWq9WWzWd8KfG5ursJurRVN08on3MLCgutFZa1gt2/alfn5ywHEkU5PY3R0suI9TdsIYCtOnlxCJjMAAHj88R+XL+xm5uaGAaxHKpXH5ORk1ftTU3K+Ql2fweTkVNX7i4uLICIIcTqADZiaSlesJxKJ2K4XAJaXXw4AiMWqvzubzQM4C/PzetV7x4/HS+tetl13PH4+gC6Mj8+DqNpZNnP48CkAgN7eGZw4ccJ1ZLF5zsDzzz8DR470o7f3GCYnC0ilUmUBLM/1AQDbMDGRczzmvv3tdQA248ILZzA7O4murnMAJPDII7/A2Jh9u81lFWZnZ3Ho0CHX3wdUlpWZm9sBANizJ1Hedj/+8Y/LAwOsFAoFLC4WS989h8lJ53IIXV09ADbhwIEFjI4+BQB49NH1AHZgaGjJ8Tjw4i1vWcajj74S9947jNtv/zm2bVv9zam5Tw7SP1rnvyUi12T5hx76NQixDnv2CLzkJZMVn3Mq6OsHP32ZugbMzs5i//79NX9XWKj2TU6qjKAFPPPM8Yp9kc93Q/YDGiYnJ3HihLxhiEYXq46n3t4cUqkYvvvdxzEyMhfI9TJfd3Vd9xRRqVSq6rV0Og1N05p+jQldeBFRH4BvAnifEGLR3HkIIQQR2fqFQojbANwGAJdddpnYvXt33do0OjoK6/qee+45307WwMAAzjnnnFW3Y3Z2FkeOHAEgpz3ZtGnTqtfZSui6jomJCXR3d2PDhg2+PmO3b9qVYlEKgLPP3oTdu8+teO+nP5VJydHoYHn03VVXvcq28vyLL8qRtEQ9GBmpvk/J5eSE0Gec0Y+RkcqLMxFh165dICLcffdk+TvN64nH49ixY4ftb8hmZcfY14eKzxARotHh0vcnq9oVjcqOesOGLts29/UpN/AUjIy4j4Sbn5fW2nnnJXHGGWfgggsucFx2fHy83Nn/4z8eRTodxebN0oXZuXNn+W49k8ng8OGjpd/Ya3vMzc/P45OflPvw5S/PY2RkBP39cl9t3345XvEK+zY89dRTZfG3fv16nHnmma6/z9zuYhFYWZEXlyNHBjAwcCq6u3Wcd9556Ovrs/3sAw88ACGkXbpp0wBGRpxdxG3b5HK53DB2794GABgdlUL29NPJdl/5YWQEuOqqeXzve8OYm9uBd7zDoRpwAJ588snyhTlI/3jgwIEKd4SIcMkllzgu/+lPq2UHqn7/JZdc4ih4vfDTl01NTWFsbKxu15R6c/LkSUxMTEDT5M3h5s3duPzyyzEwMFBeZnz8eQBAodCNkZERCKHKuCSqtufwsMDx48Dpp+/Chg37A6XYdHd3l8/9xcVFHDx40HV58/kOSNG1b98+zM/PN/0aE+qoRiKKQ4qurwohSlPMYpKITi29fyqA6lv0FqdeQ6bNlnin5Xipg3xqaqpl7N1Go0KN6mJtRl1DUyk53U8sJhyn+/Ffx6vaXo/H4+ULhwo1WkODzmUMgEIhgkhEIB6vvDONRqMYGiLb9QGVOSF2BAk1njjhXrXejDnBfmhIw+bN8ryKRCIVnbA51KiSfc3kcjmMjY1hz55+ADK/C0BFGRAnagk1qr5gYcFoo6YRnn22p+J9J/zU8QKMHC/zfI1Bqta7sWWL/PyJE6sfKJTP5yvckCD9o3VbeU1WrnL8rCH4oN9bC+0SajSParRGe5QG88rxAow81OlpPfCAskwmU3Yy/YwCtZ57rZLfBYQ7qpEA/AuAfUKIT5reug/AjaXHNwK4N6w2hEWxWKzL8N9OzfGanJzE/v37ax6V1AkI4S681Guqpo3TdEHm97zKSdgl15uFSF+fFF5WsePUAZrrkFlv+qPRKAYH5YtBRzXKdfpLrtc0I7l+0ybnGl6KpEOinDmxHlDlJIyJss3nc6FQwMGDB3H0KOH48QT6+4s455xMqd3uOV7Wbbka4QUYeV5O/YP6vqDlJMzC6/jxynpntbJ+vcofW/2ob+vN2mpyvAD3/aDOQbsbiEYJr1a98fZKrgeAoSG1/eR/t/I2qojqzIx33qIdanRjkGmgFGtCeAF4BYC3AbiSiJ4q/V0N4OMAriKigwBeW3redtTD9erEUY2HDh3C+Ph4xYiTTnK8/O6nbBbQdUJXl45ksrpD7++XokW5LU6J9QDQ0yOXtRNeQhjlJOzuMM2Cw8nxAuzFlyG87EpCxNDXF0E0KkfUWctCeI9q9Od4TU/HoWmE4eECkknnGl4KJ+FlTqxXDA9HQCSwuBgrT5StaRoOHjyIXC6HX/5Sip5du5ahvtZrVKO1sw9ax6taeMkwspPwUueZ33ISSnjNzBjbMWjVeq9115gmVkGtwsupNI/bhVqdg80UXkKIlrwGeCXXy9fkf7X9jGXtBuQYJVxqKcukhFctjlcrXYdCy/ESQjwKwCk4/hthfW+jyGQyFXHuWug0xyuXy9kmNKraZ7XmSrQSqVQKGzdu9FzO7BZZOyoAGBiQndP8vLfwUo6XXaX3TCaCYjGCZFKzLSVgFl4qvGkndjRNqxh5af4N1rkWAel4xWJyKHkqFcPKSqTsIMnPGlMG2aEEglf1erPbpb7XjVgshng8XnU+WR0v2YY4BgZk+6en5XyOBw8eLN8ZP/GEvKKowqmAd6jR2tnX6nht376Cfft68cwzfRDC+UJjdby8ykkMDGiIxXQsLcWQzcrj7sQJVcNrdX2QmpJoenr157lVaOXzeV99iFM/2urCS32X3Q1CM7GGGgcHq/fBwEAURAKZTBSaVhmWtGIULa7NFV2N8ForjldHU4+daA1vtMIcUqvBTnQBrXs3VwuLi4u+9pO6MFuLpyoGBtTQa//Cy87xUvldysK3Uim8gjleS0ui1DZ74WWu4WMNN3qHGv3N12guJaG+1ws718tOeJknyp6c1PDCCy9U1O6z5neZ211Px0sVUgYM4XX++Wls2JBHKhXD0aMJH46Xv3ISkYicZxGQuVj5vMDMTAxEAhs31ifUODMTXXVfZnUn/PYhQYVXoWAcu3a1vBopvFoxJcMQXvK4XLeuWvjG48Z8jZlMxCPUqEq41HZ8ZLNZFAqFwKHGVpuaiYVXjdRDeFk7iXZ3vdyG+beSzbsa/E7aqy7Mzo6XPPWEUHWynO/kjVBj9TJqnka3qvUKL8fLytKSVv4NVpTwcqper4SXV3K9l+Plt2q9GTvhZeckmBPs9++friiYOTHRhRMnEhgYMPK7AG/Hq5Ycr8oaXtJ9GhoqYscOKQKffrrPd6jRSXiZE6JVSHBiQsOxY0UIIadjchrc4Rcl6Obm4qsWEXb9hZ91BhVe5gnSrYWFgbUtvJQZIIRxfqsBNWZk2oHRD5jDklYM4VW7K7q0tOTL8TIv02rXHxZeNZLNZld1V2e+y1W0s/DSNM12IlNFqx34tVIoFHzl93kLr8pO3k+OVz5v53i5z9NoFl4DA2r0lj/Ha3FRlL7fPsfLzfFymyQbMFw0rxwvv1XrzXTbjFSwc7wqi6hWvqfCjJdcsgRzBLYWx8urnzD3A8rxWreuiB075Jc8/XSva3K9psnRp0QCXV323zUyMlIOESnhdfy4jqNH9dL7qxcYcsSbjnQ6irm52s93NTm2lTCEl3my8FYINbYSaltmMhFoGiGR0NHTU92XWW/AnKYMAoxQo9tsEV4sLy8HDjW2UpgRYOFVRo1A84uu66u6Q7E7cFrtxAtCKpVyvcCELbwaMcmsmtDWz0lsDjXaiYXBwcoOrNbkerd5GuPxeEXelkrotxs2bye8lpf1UtvsHa9IJLIKx8vfqEYVajz11PqHGs3TBlmT2h98UNb+uuKKymljVEhlacneWbK7wHuFG81iQbVjaKiInTsNx8vp+JYhOLlNEonq0aeKoaGhsiA1pg0SOHJkdVXrzRAZ6x4fr/0m0txXnDwZx/KyPEb89I9Oy/hzvCJVk5/X2if77Y9a3fECKudetCscLqvXy98xPd0FXSd0d2u2DqpKiVAjSWthaWkpcKix1W7817zwKhSAN70JeM1rzi0fYH5ZjYq2uzNrZ8fLKb9LEXanks/nQ99+av1+HC+v5PpkMoauLt303HldKgyZy0Vg1bZ+S0kAxugjO8fLPtSoHC/vHC+rW2A4XvaiI2hy/WpCjbFYrGrgAGCt5WXsoxMnuvD44/3o6tJx1VWVEyUrwajcQCtBR9QB9tMFrVtXxHnnpRGP63jxxW4sLkZsL+bSHVLCy75NiUQCiUQCPT2yJpiR4yVw7Jj8zGoT6xUqwX58vPYbIXWRXFyM4nd+5yX44z8+G0D4oUY5+Xl1qZVabur85uy2g/ByG9EIKMdLbkd1vtqFGYHqibJrwW+6BzteLUw8DqRS8sLx/e+v8/6AidXszE5yvIQQnsKrEY5XI8Qd4G+/eyXXmyfKBtyFVzRKZZFmzfNSyfVepSQAo1p8JlMt4NyS6+3KSbgl1+u64arZhSnlOr1DjbouRRAQTHjF4/GK5ezcLkDV8qoWXt/+9jCEIOzevVA1aCFoOQn5O2pzvLq6BLZvlyL/mWfsw43mCbKdSkmo0de9vbI0heF4EcbG5DL1CDWa172aIqrqPD55sgu5XARHjyYrXncjqPCyjq6rV56XX7FmPjZabYCV+t3mgqhOfZlyvv0Lr1hVHxSEoKKWhVcL8q53yf/33ONdJsAMO16S5eVlz7t6vyNRasU872VYqP1TKBQ8O1ZzjpedWIhEIr6FVyQSKSdNW8ONbo6XVXB0dcn16DpVCTi7fbOyooRX9UXULcdLCjsZbnDSSX5GNc7OxlEoRDA0VCgLHr/z9ZnzvJyG6JtDjWqQgq4D998vp0K69trq+f2M5Hr7jt9uO/o5NxSqHUoQqsm+nfK8ZMqDEWq0Y7A0m7lVeE1OAuPj8niql/BSjtfJk+7Cy+38UTdpykVV/xshvOo1srFYLHqKA7s2NdL10jTNtY1Wx8uueCpQmeNlCC+nwT4CyaQGTSPbbe2Hxx7rx3e+4z0Zu9q+mqa13LWVhRdkqHFwsIgDB3qwf7//OcZWU0TV7kBoV8fLy+1ShNmpNNLxArz3veF4OdceMofh3IQXEbkIL5Xj5e14RSKRsnCwhgbtHS/5P+ioRq9SEuZ1ujle1hpe6nv9YA43OjledqHGPXv6cfx4Aps25fDSly5VfSZocr3Ta2aUCBHCHGqU/YN5ZKPd8W3O8bJzvIgI/aUYczKZRCQSwYYNSnhFylXr6ye8jMr4br97bGzMsb9TwksdU6pAr6Zpnjc8wYVX5XO7WRhq6Zf9uFd2bWrkNWBhYcHVPLCWknASXkEcL8DI81I3GUEoFoEPfegsfOxjZ+K553o8llUTx7eW2wWw8AIgL3rXXCPFQxDXK5/P1+zi2HUgraLKc7kc5ufnMT4+jgMHDuDJJ590LRXh9p6ZMMONjRBe5v3jdTKrC7PDvMYApChTuE0ZJIWXXDafrxRxbuUk7IWXveCxO46Vq+MkvORFvbo2mFfVerlO+X1uOV5KVCpxpL7XD36EVyQSwfCwbL8SXvfdJ92ua66ZhU1amGeo0U7A+g01ZjIR5PPSlUwmZbsuukh+0d69vRgbO151YTaHGu0cr76+vnJ+GxGhu7u77HhNTUUwMSF/dz2S6wHDTZubizme7yo14eTJk7bvW4UXYDhRbue4U9V69Z4dc3OVz+sZamx1x2tubs51JHp1cv3qc7wAVLnMQXjuud5y//LNb7pfq9X2bbXEeoCFV5nf/V0pHr73vfWOd+EHDnTj5pvPwMyMccDUqqZb1fGamJjA3r178eKLL2JychLLy8vQdR3Hjh2zFYt+Ex3VsmHRqo6Xm/BSU/gA/kONVqFihBqrOzprknlQx8ttyiAlgAYG5G+wu0i6OV5+yknYCTi7JHk7/IQaAZSFVyoVw9JSFD/8oczzvOaaWdvl1bZwGgW9GsdLuV1moblhQxFbtuSQTkdx4EAcL7zwQsW+8go1qjCjore3t5xcPzkZxcJCFLGYXg4Rrha1ntnZuOP5rkalzczMVPWD5smxzceUeuzWR7rduDoLL7kfIxHn4sJh5Xg1U3gVi0UsLS1VFAz+/9l70zBJrvJK+ERERq5VlbV1rb13dfWm1oIWVgnZlqBBWAurBmE0BgMz5mHAGMOHMWM8HjM285hnMIwZlpEEmH2RWSSQAElmJFkIIakl9a7urq6la9/XXCLi+3HrjbgReSPiRlZWVTaq80etqqyIyMwbN84977nn9UJ2V6OqqqipYd/Z8LC+/Fr/MU/juxzi9Zvf1Nr//tnPGgM3xNHnu6F4VTG6unK4+OI5zM9r+MUvSk32i4sqPvzhXfjxj5tx771N3M8rR7xE2V5ridnZWd9VaKFQQG9vb8nPZcuMwOoSr7X0eAHh3zvNZ7W1/q9ZttwACC81ElHxLzW6x41oJx/vK5NplM3vzPQiiHjxnhA/yASoekuWqqpKt52SUbwAYNMmdv6pqRjuu68BuZyKq66aQUeH+GFLilcliZe3XRCVGQl8ntfCwoLrPgwrNXrbmmUyGaRSJjIZw+6v2dpasNU9XdeFqoYsqNQ4MRHzvR9pzrAsq2S+4ecI3gPklB397/HyiBc7R0tLvuSchN/FUuPk5CQsy/JVvCzLkvZ4AbCV72KRfX5+gc4Ar3hF39lI+XqZjIFcTg30em0QrwsEN93ECv53391c8rvPf74DAwNsAh8edlbQ5X6pfgRrvcqNhmGgp6cn8DWTk5OY8GjzYWXGYtG5wcohRrJEtFgsolgsrqqBn58UwwJ0HcXLnyjIEi9VVbldjXLmelGWFZ+75V3Zi8317Nq9xEtRFJvU0XOdP15YeCp/zGDFi/2OCJxsmRFgKhddY7Di5TTKJpuByFTvve75eUW4KytqqZF/wPE7GnmQz+vwYSafjo+PY2RkxD42Bet64yTi8XhJmKwTKeHMM7y/q76+fkU9aPn0er+FFr9Y86pe/BwhIvOVJl6Tk2yME9GupOJVzaVGmsfz+bzw/fGfJX32dXWmr+JMCzBC0KLLLzsvDLmcYt8D739/PwBWbgz6mA3D2Cg1Vjte9apJZDIGnnmmBmfOOA+uZ5/N4JvfbLH/f2TEkVsrqXgB61du7O3tlTp3X1+ffe3FYjFQqgaAf/zHLXjVqy7B888ny7oBgjwIPIigrdbn51UjLcsK/O7psim0VAS+DBmmeNFE9vzz7gepE6DqnuhEKk+5ipc3EoJf9YpLjfKKV9CuRi+Bi0K8AEY+4/F4oEpGjbIB4MSJNGpqirj2Wv/FhK5b0HUTxaIC0VCLqniJMrxKiRcpXs6A6e/vx9zc3LLHS1xqFBGoZDIJTdNWkXix4/qVGr3WBNM0MTw87Po9YS2IF+VJdXay44qIVzkxD9VMvPL5vGteFc3h/GdJ5bz6ev9jeue51TDXP/tsBvm8iu7uBdx44xiam/M4ezaFJ5/093Pkcrmq8U7z2CBeHFIpE69+NVsJ/Ou/MtUrn1fwt3+7DZal4PLL2S6nkZGVKV5BJcX1GCQiJcsPxWIR586dAxCeVj83p+JHP2qGYSh47LE631YgQQgjdvx1Aas3cYmuO8jnJUe8nN+FEa8bbmDfz5e/3M4ZjRUsLTGPjleV8iNeRGK8JmLRQ2BhgfpIuo/NEyDq3RZ1V6NMgKr3OFGJVyqVCiwzAu6djQBw6NCEbWz3Q5DBPirxEmV4NTS454ZduxaRThsYGEhgfJy9xrIsnD59GrlcziZe3u/Jj0Cl02kX8SJjfSwWQ21t7YqIV20taxs0P69herr0nhFZE0ZHR+37111qLB1T5RIvy7JKFhem6RAvUrxEXR2A6Au6cj1e1B1jNTE56Q4FFi1u3cSLVHX/Y3qHjFypMRrx+s1v2EmuvHIWsRhw881MmQ4y2XvfW09PAr/6VQsk94OtGjaIlwf0Zd5zTxPyeQV33NGGM2dS2Lp1CR/9KCMcvOJVTtfzoJtyrRWvfD5vEylZTE9PY2xsLNTf9eCDDXZp7NgxVleLSoxkFS+arFaLeIkmdTnFy/8W40lZGPG6/vopXHzxHCYmdNx1VxsAZyWazRolrWLCFC/vA0aseFEIqj/xymYV12vZv8N3NfLxGH7PGa9XrFzFKwixWMxVpr3xRrGpngcZ7EVDM2qpkb/f6UHkLRvHYsCBA2wB8uyzTn26WCxidHTU1TKIoCiKL4HiDfaAo3hls1koigJd1+2SZFQoimOwHxvTSuYzkTWBV73CFK98Pu+72AubO72EZnoaME0FmYyBxmWrkEjxkjk2D1pYl6N4AauvenkX2aI5ln+/NM80NPgvIuvr3fOJTKnx8cdr8Q//sAV/93db8Td/sw0f//h2PPSQP7sjY/2VV7I2XjffPAZVtfDAA/X2gsQL78L9nnua8Ld/ezE+8Qnf06wJNoiXB/v2LaC7ewHT0zF86UvtuPPOdgDAX/3VOWzenIOiWBgf18Fzp6iqV9DKbK0Vr56enrJWWP39/ZiZmQl8zb33OsbHY8fYRB613LiwsCAl86+H4hX0vdP9ns36kwVZ4gUAqqrgz/6M+Rq+/vVWDA7GI0VJsGNEU7wWF8UeLzHx0uw+dzK7GlUVSCaDIyW8JctyiFcUxaura8FOigecwFEvVkvx8is1AsCOHey+od6VPETJ9ZlMxvfz8ipe1C6oocHZVLQS1cvPYG8Yhq+CPTo6ikKh4LrPRMQL8CdBYXOn93ug8NRstmg3kK8E8XJy2aqPeC0tLZUo9YuLiyWLA9G4bG31J16lipf/mKcuFD09KXz3uy24++5N+PGPm/HTnzbhr/96h3CDw/y8iiNHMtA0C5deym68trYCXv7yaRSLqh167IWXVD7yCCN2r3mN7+WtCTaIlweKAtxyC1O97ryzHYah4E1vGsGLXjSHWIyt5kxTwfh4+T6vchSvO+8E/viPTV91ICqGhoBXvSqHe+4pbwiESeLDwzqeeKIWum4iFjPR25vE3JwaiXgVCgWYphk6ofKf51oqXsGlRjbpBpUaeTUsjHgpioKDB+fx6ldPIJ9X8bnPddrGetEk52euj6J4UanRGyfBe7zicQ3ptAHLUuxjypQa2XGDDfbefo/llBrDFC9d121/z803j7mUQ56IiK7bS7z87ocgxUum1Ai487G8ECleQcSJKV5uj5eqqq6/8cZQRIFfpESQNcEwjJJd06JSI+B/j0clXiMj7P+z2SIaGtwp+V6sJfFazaqHyFJiWVYJIabP0rLYRgkgmHh5Fa8gj9dll83hb/7mLD7wgT586EO9+OhHz+HjH+/Bvn3zmJ/X8JOflJKop5+ugWEo2L9/3o6uAIA3vnEUAPCDH2wSPhv5z3JsLIaTJ9NIJAy88pW+l7cm2CBeAhw6NGFPYq2tebz3vQP270iW531eY2NjoSGJPKIqXqYJfOhDJu66S8VTT0mfJhCf/rSFn/88ga98pa0yB/TgZz9rhGUpuPrqaezezYjpyZPpSMSIXhvml1gL4iWaDIPKzPRQDlK86urkiRftJnrf+/qRSJi4775GPPJI3fJxSqMk/NoUkVHeq3iJiRc7Z5AdBSZzAAAgAElEQVTixafX00NLZlcjf9wwxatcj5doV58Xuq7jne8cxN///Wm8+c2j9s8zmYyQvALOZgPqZUmIGt4J+Pdp9II3rXsh8ngFEad4PI6WFue1ra15u8xICFLMwuAoXqXEKwjeMqSf4iW6x/v6+kLvfe/3QA2y6+uLqK9nx6+Ex4v/ToO++/VQvLz+LoIf8VpcVJHLsRzBujr/8ZDNeomX/5ytKMANN0zgbW8bwa23juINbxjDTTeN4/bbWbTIt7/dAu+tRDESV1zh7ibxkpfMoKMjh/PnE3jssWCV9tFH2T1x6aUTofPtamODeAlQW2vg5pvHEIuZ+Ku/Oudi2Js2UeqzMwHmcjnf/CsRoipex487eTPeFhflIJ8H7rjDXD52GqsRHfbTn7Iy42tfO469e5kydOxYOpLiRa8NI178BBbkAVkJ/Miyn+rlEC9/Ayk/kckoXgCT19/6VuaH+drX2pbP4f58gsprFNrqfcB4HwKm6RCiIHO9qF+jzK5G/rh+Oxu9JcuoREBRlFCvEmuUbeC666ZcSfV1dXW+mUVEGGdm3J+L34NUvtTI5hQR8eJVJC+8cRKxWCz0fW/Zwo6TShmoqzNK1D2+1VBUOCTRKTVSWn0UiDZsAKXE5Ny5c3a8RhCCSo2NjbGS8/AoR/ESnTPoegirRbwWFhZ8519vSY7eLymsjY0F6Lr/XJbJxKDr7H5QVavEFyqDa6+dQmtrHr29yRIS5fi73MRL04DXv54tmL73veAk+0cfJXN+uI9ztbFBvHzwwQ/24f77n8FLX+r2MVHQHq94AcDQ0JD0DRO27dm7cv63f3Nu5NFR719Ex913Gxgfd/qgeSMKVopTp1J4/vk0stkiXv7yGZt4HT/OFC9ZYlSO4sUCJSsv1fsdU1RmNgynTFdX5z9Z8XESIcKMS434j/9xCI2NBRgGnSM8SoLgEK/SBww/7hYWLFgW6xHp5TthxEsmQBUILzWu1OMlA0VRhAQriHiR4jU97X5/5ZQa+XFVbqnRGychQ5j279dRV1fExRfPQ9NUoUJWbrmRSCKveM3Pz0fyklqWOBsOgIvM9fT0YExyNeqneGWzhk28RL0agfKJV9DctdalxqCd636KFy0GGhqKgcG6vPJdU2MI222FIRYD3vQmRqC/9S0nvml6WsOJE2noumlHq/C48cZxxGImHnkki6Gh0oUJwPIkf/1rRryuumqDeFUtNE3snWlpKVW8ADYJiJLdRQjzInhvvF/+kq9TS50iEP/8z+z85N157jmxibhckKn++usnoOuWbVg+fpytwmUJKr0uiscryvGjIIriRT9KpQzEYv63mGyAKuBulZPJmPjP//m8/f/eUqNfiQwAamrEihfgfhDMzLB/i9oF8ROwqFG2zK5G/tirVWqUhbcNCntP/qU2IozeUuNKFC/D8O9CAPDEy7/USMQrzNcGAC0tKfzoR8/iM585hbq6OmEwZrkGe54kkgIt28+VsLSk2gsLwL1rlhZvZ8+exfi4/EO0VPFi/2WKF/tcK1FqlCVepmni3nsb8ZGP7HS1vlktxcuvzAiw6ySSbJqm/VnxilcQ8WKNson4l29EvvnmMSQSJh59NItz59gC8skna2FZCi6+eF4Y9dLYWMTv/d4UTFOxY6C8eO65DGZnY9i6dQnt7eufZL9BvCLCT/ECgJmZmcDBTQhTcPiHvGVZ+Pd/dwb8SonXiRMF/OpXSSQSpl1TryTxMgzm7wKA17yGrbC6uhahaRZ6epJYWJA32MuWGr2/LycrLGyHph/xEileTvBoMPGQDVAFUBICeuONY+jqYgzP22evJqBBJP0qTPEi4iV6D36KFxElmV2NQLDixVRDzXUNa0W86urqbCVMFL5K1+MtNfopW34/5/P8ZmZisCwFdXVFiJ5vpIKNj+sl/hcqNVLpVtRPz4tMJoOaGhOxGAtNFSEejweSeD/wJJEFvOZWVGb0/n8ul8OZM2ek5loeXuI1Ps4e4vX1Rmip0TRN6S4a/FwRpnj9y7+04pe/bMBXv9pq/5zvZsCff3Z2tuxd74ODg6HzIpUbRTsaGxrEfRoJ/AIsyN8Vhvp6A4cOsefGd77DVC9vjIQIb3gDKwX98IfNQusM7WZ8+cujjcPVwgbxigjHXC8ehP39/aFG+7Cbh//9kSMzOH+eN/LLXqkY//RP7GF93XWTeMlLZpbPUTni9dvf1mJ0NI7Ozpzd6iQet7Br1yIsS8HJkylp4iVbavROqFFWjKOjozhx4kTggyEouTqXy5Wcn+wS6XRwSTUK8fIqEpoG/P3fn8Ef/dEQXvUqp4SgKIpvDALg9I4UkR038TKXryuYeLEGuX6Kl6zHq/RaiHRlMk7ZYi2JF0F0Tio10s5Vgp+yJQrvBOSN9QDzb9XUFGEYiq2MEbyKl0yvxVgsZqf6+xEvoDzVy8nxYp/rzMxM5BgZGkvkG+KJl2makRU0oPT7oQbZjY2WvcN4cVHz3Tkuu6CL4vEiz963vtXiKiPncjmYponJyUmcOXMGhw8fxsmTJ/HMM8/gueees0usYXOdaZo4c+YMzp8/H/g6QEy8SGFtbAwuNTLFi4jXyrbev+UtrNz44x83YW5O9TXW87j88jns3JnH6GgcDz9cWiInY/3LXha8wF4rbBCviHDM9WI5P5/Phw7yKKXGn/+cESVNY5P8SojX3FwO3/42K/fdcssoursXoesmenpY1EMlQGXG17523LU1n8qNx45lpCZhipIAoiteMsTLNE2cPXsWvb29wu3UPMImXK/qRcQrrNQWpdQoUl62b8/h/e8fcG3+SKfTvv3UgGDFi39IEKkIapBN/+aJF+/NkSVeolKjSDVbD+IlethELTX6/S4K8QLcfRB5eBUv2SbXmUwGtbW1gZ9rOT4vPscLgKslkCzo+6eFrp8SFQWlipdDvFTVGWt+nsNyiJff3MUUNMtWlBYXNdcO876+Phw+fNhW9njinsvlMD4+jnPnzuG5557D6dOnhfNXLpfD8ePHpZVBOgb/Pun6GhuLgePErXitjHh1dy/iRS+axcIC+0zOnEkhlTJw4IB/fI+iALffzq7bm2Q/NhbDiRNpJBImXvQif/K2ltggXhHBe7z8POIjIyO+2V5B7YIINCHncjk8+igb7CSzroR4fe1rkxgf17FjxyIuuWQe8biFPXsWYFlKRVSvpSUFDzzAdkdRmZGwbx+7qclgH34sh5xV2uNFExJvNl1cXPRVtcLOz3/XhUIBv/0tU8+am1ev1OiHMGM1/VrkZeEn99lZ9m9vn0ZAFCdBjaM1LC2pME1myg97/gf1axQZ9FeLePFExZt2LyIxjuLl/nmQ0h2mePElHT/4GewdxYuNX5lSI8BIul9WGaGmpiaQyItQV2dA0yzMzcWQyyllmcXp+6dw1/l5LbAZsgy838HkJHtfzcu2IH4ciyD7PmRKjYZhYHIyBtNUbFXve9/bZFdSFhYWpCOKpqamcPz4cZw6dcpWrWZmZnDs2LFIGZNLS0soFotCxStsLmP9ZCm7cOVhk7feylQvIqOXXTYHXfcfAKqq4k/+REc8buKxx+owMODcw//+72zxcMUVsyWN5NcLG8QrIlIpE7W1RRQKqm93dcuy0N/fL/ydjE+AbvCxsTE89RR7UlLjXtoCHRULCwv42tfY1rlbbnGCIi+6iBGiSvi8HnqoHgsLGi66aA5bt7rJT9RICZ48VVLxsiwLJ06cKJmQTNP0naTCJtyZmRkMDQ3h+PHjeOaZZ3Dvvez1L31pMAEs11wfhCB/F/s9+2+Y4kVqjqjU6DXX84oXKRVhOxqBYI+XKAtsLRQvb2lNdE5H8XL/PKriJdrRGKR4kZJEJTznOO4cryiKV1CZEaBScvCYKv0b51qJUEYFff91dUWkUgZMU/FVomTh/Q4mJ9kk2LSc10nK8UqJl4ziZRiG/T1u27aE666bQC6n4o47ys9VnJmZwYkTJ3Ds2DGcOnWqrI4k8/PzwgXBpk3hz53aWjLXrzyf6JprptDWloNpsu8oqMwIsDHf0ZHA9ddPwbLcJnuKkXjZy6rD3wVsEK+y4LezkYefr0GGeJGn6PTpSZw+nYKum3ZtOqritbCwgHPnzuHBB3vw2GN1iMdNvPa1zk4gkm8roXjdd5/bVM+DN9jPzoYbVaMQL+8EYxiG79/Mzc2VKFhDQzp+/vMGzM2Jy41hitfU1BQGBgZsqZ7MoFdfHfx3ug7U15tIJi2EtcaTVbzCHpLptAJVtZDLqSUmVH6F7fjUgkuNAFBXZy3/jSYdngo4uxpFD1RRuXItiJe3tCZWvCj93/3zlZQag9oFEfiYBh7leLwApo7KvLa8cqN/7pgMeMXTu2u2XJQSL3a85mZl+VwrJ16WZcEwDHz2s534l3/ZHbjTlT6bpqYi3vOeQaiqhX/912aXWlMOgjpqhME7P5K62tLi9xcO6utps8LKiReLlnCyk7z5XaWvZ9d5221sDv7hD5tRKCgoFmFnglWLsR7YIF5lQZReL8KoIHRLZldKPp/H5OQknnySySAHDszbuynHx1Gyq8kLwzAwOjqKY8eO4dixYxgbG8MPftAAy1LwB38wifp6ZzIgxevIkcyKpfyjRxl5u/rq0gGeTFrYuXMRpskM9mHlQJ60GoYRmP0lIll+xxf5HT796S346Ed34pe/FH+wUUolQ0M6+vqSyGQMvOhF4R/o17++iO9+t4CwBAAZ4pVOp0PJiaapviU+scfL/eBQVbXkWmpr2Wvn51XpDC8gzOPljqQQnbdSIOIlUnfEHi8iAu7rCSJesub6hgb/+cGv1OgEqJpQVTVyaTAM5Rjsg+IvZMCPI+/mjXLBfz8LCyzDUNdN21hPpTJRr0BAbh4oFouYmWHepG9+czcWFvyJFylezc0F7NixhEOHJlAsqvjyl9sjva9KYm5uzuPxYtcoQ7ze8pYZvPWtw7jhBv+8sCi4+eYx1NUV0daWQ3d3MJmk+/SaazTs3LmIiQkd//ZvWVeMxObNq9eKKSo2iFcEKIqCZDIpTK8XYXx8PLD5qB8KhQJGR0fx1FPsIXDZZaxPZG0t29UUtjO7r68Pvb299sqnWAR+9COmp1MfSsLmzTlks0WMj+sYGip/pTU3p2J8XEciYaKtTTzA+SDVsHKjlzgFfW5RiJdoN9TAAMuLefbZ8jxePB5/nD2kLr98FslkuJpw7bUKXvWq8OPKPExlSkLuRtn+/Rr9zPUiYkeCCCs1RlG8/EuNaxGeSiDiJfIzBSle8/Nu4hXkyamMuV7cNohXvGT9XVGQTCYjlxv59PpywH//Yd4rWfDfAcV/ZbNFxGLsuM4CQnweGW9qoVCw5xMAGBz0vxZH8WKf1bvffR6aZuGee5rsDKvVxNKSgnzePYYXFhZs4mWajhLb0hI+/+zYAXzwg/3283GlyGYNfPObR3HXXcdLQpy9cO7hjJ1k/4MfbOJ2M1aP2gVsEC9paJqGrq4uNDU1BWZ58WA3lzvgTzYLZm5uDk8/zSY76sZOk3JYudG7Mnv44SzGxuLYtm0Jl13mdgQrClPUgJX5vPr72UTR2ZnzTS3mg1RnvQYZD7yTXNDuINEDTzRJisqMgPNwOHtWER4riuJFZcarrpqRKuPoui5FqmTUHlni5TTK9u/XSKVGGeLFlxrLIV4yuxpXk3hpmgZFUYTKTtCuRupOQKiE4iVTauSJl2W5PV6yZcao2L17d6QWQn5lUVnwJevVULwc4mXYn1mQ/xFgc1CY4b1YLLpKhYOD4mPxxKu5mY2DzZvzuPHGMZimgi9+sSP8Da0AhgG85S0HcPvte10/N03Tnu9mZjSYJsuWS6fDx9Vq3KOtrQU0N4c/M+k7zGQyuOEG1mv58cfrcM89THColhgJwgbxkkAymcTevXvtNiIyHi+Ct9woq54sLSk4ejQNRbHsPCyalMPaBnmJwg9/yIyGN988BtHzuxIG+74+VhbdssV/Vcgb7IMCS/koCUKQSVUEEfESlRnZqo59j319SaE/QvY7syxH8bryylmpiSgWi0kRr0oqXk6jbP9+jbQ73Uu8RA/2bJYNKjfxCt+RJbOrcS2IF8AIsMjLFFRq9Cpea2Wu50uNxaIC01SgaRZiMXl/V1Soqordu3eHmvGDrjUKRB4vvxKgLEzTtC0LIyPsmPX1TkwC8e6g88jssKZFKAAMDoqPxZcaSfECgHe+cxC6buL++xtw5szqdXIeH9cxMJDAqVNp3yghIs1h7YIIqzX2ZEDnjsViaG6O2dmGw8PxqoqRIGwQrxDU1dVh7969doKzruvSihfAogb4BqSyD/EjRzIoFlXs3r1ob88tR/EaGdHxyCNZaJqFG24Qt9cgxevIkRCHdwD6+thks3Wrfwmxu3sBqmrh7NkUZmeLvrsIo2xK8Pu5SKUSlRlnZjS7NUlfX6IkD0dmlUs4ezaJ8XEdTU0F7Ny5JDURKYpSEcUrmUxKlZkY8QpXvBzi5SYMQaXG+XmtRKkKQhRz/WoTr0wmI0xpFweo0ufnX6r1orQJuen6mQzxImWEV5FyOTYuoqTWlwtFUbBz5040NjaGvtavLAowH+Sf/uluPP64v4K2Gh4vwPke+AbZdJ8S8Qo6T5j67S01jozowjmKKV7svPS9AkBbWwGHDk3AshQ7bX01MDzsPLv8LCay7YIIq32PBoEf95lMxk6yB8j2UR0xEoQN4hWATZs2oauryzWgGPGSV7zY60bsf8uWGsnfRWVGQI54eVPWf/KTJpimgle+cqqktQyBiNexYxlhuwUZEPHavNlf8UomLezYsQTDUPD88ynftHiRWuVHWOnznJyMlfRz4zE/Py+cNPmt+efPxzEzI24WKwN6kFxxxSwUpbIrwDDiJevBkVe82Pmieryi7GoMMtd7TfqrPak3UaaAB0E5XgsLmotsRSk1eseVzK5GUdsg+uyiRkmUC0VRsGPHDmzatCnwdUG7Gu++exMef7zOt68e4PZ4rQbxchpklypefqVGIJx4sVIjT7ziwnHhp3gBzpx/9Gj5C+EwDA/r3L/FxEu2QTahGhQvgBGvAwcWbEN+tfm7gA3iFYj29vaSBx4rNcorXgBTWmiilX2Qk7+L92TJEC9+YjBNx1R/003+f1Rfb2DLliXkciqefz4ldX1eEPEKKjUCTpDqsWMZ33KjiHgFKV6Liype//oDePe799g/p+a8BL8WI7x6UCyqOH3aPbFG83dRmZG9r0qShTBVLBrxEpvaeXLgNPoOJ16ZjAZdN1EoqPZkfSGZ6wH/nXuih0kiYUFRWCRHPu+8T/4B+6tfZXH8eEr4O8A9DywtKVhaYp9hUIlW1DaIiBdFSaym4sVj69ataG/3330XVGokH6RfDiLgV2qsJPFyog8cxUsJPU+Ywb6UeAUpXm6PF4EWwrRLfDUQVfGSGVfrqXh5iZeiAP/1v/bgbW8bws03r7DP3ipgg3j5IJVKCQebruuoqzOQSJiYn9ekWu1YloWxZbbkvQnvv78BDz5Y74pyKBaBZ54pVbyy2WjE68kna9Dfn0Rra97uy+gHP5+XZQHf/34zHn44eEs5ebyCSo2A2+c1NzcnXA1GKTUahoG+vgRmZ1lbiKUlhyjzk6Rf2wzvg+HMGdV1LlmiXCwCv/0t+86uumrWNmxXCmHHkjU+84qX9wEjUry8yfUiIsK3C6GVdJQ4ieAA1dVtkE3w+3xF71dRnHLj9LQzVoi4jo3F8Od/vgsf+cgu+3dBxIsvM4YNGW/boFzOTbzWUnXo6OjAzp07hYsCv/ZG8/OqnRkYFK7Kf/+rXWp0FC/24Yu6OhDC24cVXERmZCQunLump00sLmpIJErJ9vbtS0gmDQwMJDA1tTrjXoZ48d0ULiTFK51OQ1EU7N27iA98YKDqyozABvHyhV9ooKIoiMU0W/UaHZVTvUZHR0vaBU1MxPCxj+3AX/zFLrz//V0YHGTHOnUqjYUFDZ2dOdfW3KiKF5nqX/e6cTQ11WPTpk1IJMTblB2fl5t4feEL7fgf/2MbPvaxnb75YfPzLEoiHjftMqwf+EgJy7KEuxujKl58E3He2ErHWVxc9F2pelPAvT4vWcXr+PE05uZi6OzMoaMjX/FJKEjxisfjrjY3YceRU7zc3iGCiADx6fU0oUdLri895lp7vPygKIpPej27LmomzhOroaE4LEvBwEAC09Psb4NKjTL+LoI3y8ureK31w6+hoQF79+4tmVcYobEwMxNDoeCwyaeeqrE9lUHEyx0nUXniRd3CslnD/n7r69XQ84TNB/39CgxDsXvr+ileIyPUrqhQQrZjMWDPHuZ/XS3Vi7fJ+JUaZRtkE6rF46UoCtJhidTrjA3i5YOg0MByfF6FQgFjY2Ou8tfp0ylYFrvrHn00ize/eT++/e1NePJJKjO6SYmzq9GfwdPEMDur2X0T//APx9Dc3IytW7fioosuwsGDB7Ft2zbXe+SDVAnf/34zvvxltq15fl5zSeg8iOxs3uwfJUHYs2cRqmrh9OkUcjlF6POK6vHiV2y9vY5Bmo4T1CSWJpds1rLfC0+8ZBWvJ55wYiQASBMhWQQpXlEyloIULzfxYl+kN7lelnhF2dW43nESYQgy2E9Ps+vjiRev8lDp3qt4iXY0BvVpJHjbBpHitRbmej+kUins3bvXpbqqqjNf8aoy3ScA8xD55SKvtrmeGmQ3NJj2vUW7c4M8XmG9D3t62PdBC8zR0TgKhdJFyNAQtSsSzy/791O5cXUIRBTFq7lZTjFaL8VLFBqcyaxembYS2CBeAoT1JyvH5wUAg540Pdou/MpXTuH3f38Si4sa/uf/3IrPfrYTgLvMCPCKVzjxuu++BuRyKq66agabN+ddAzEej6O5uRltbU5fsO7uRei6ibNnk5ibU/HQQ1n8wz9sBeCkaZ84IfZ/yRjrCamUie3bHYO91+dlWZZwd1iQ4jU46BDC3t5SxcvP3wU45t+XvITeS7IsxYuPkQCA1tZWqb+TRaWIl6ZpvoqXO9mb/U7G48U3yibSEXVXo/cBvNYeryAEZXmR4sWPWZ5oEPGSUbzIShAEbz6WU2q0fK91LRCLxbB7927XYk6UXk/3CQAYhoLZ2dLvtVhk70vTLCSTTqmxkh6viQkiPs7Ay2bV5fP4Pxa9TaS9OHeOXePOnYuoq8vDMBQMDZXOZ6R4+RGv1fZ58c+tMMVLpk8jsH73qGjMbxCvCxC1tbWBD7pyFC+gVD05c4ZNyi960Sw+9akz+NSnTqOpqYBikX0tfsQrKMeLiALtGLrxxjEkEgnh4ORXx/G4he7uRViWgm9+s3W5tKjg3e8+b5sTT50Sr774DK90Oo1sNrscNNuCjo6OEtl3zx7H55XP512eLr/WQEEeL77USNcCMOK1tLQUuEqlh+QrXsG+7/7+hCvLS0bxyuUUHD7MyM+VV87an0ElEVRqjBJsyQJUgxUv0zRtFUomToJXvAgyxIvlTpkwTcVVjgJKc7wq3QYnCoJ2NlIz8aiKl7tPI3t9WKmxpqampNRIcRLrVWrk4S3xeNPrp6Y0nDyZXrYksHlKVG7kv3tFwaooXt4G2QDQ0MCOH0bw/HohmqaJvj42F3V25tDUxOa1/v7S1/KlRhH272fnWA3Fq1gERkf5UqMutJE4qfVyx620r1UWG8TrdwRhvcmiZnn54exZRhJ27WLE4Pd/fwrf/e4R3HrrMG69dRjbtrkVJGc7uf8x8/k8TpxI4fjxDOrqivi935vyHYTesgSVG7/whQ7kcipuuWUU73rXILq72fWdPBmseG3ZsoTu7m50dXVh+/bt2LJlC9rb20u26nv9ZHy50S8Lya9fo7fUSNcCMOIVpHYBjuL1spex/+/vTyCfL9pqmYzi9eyzGeRyKnbvXkBDQ9GlJFYKQeZvUf6UH4I8XvRQMgzDV/HyM9eXQ7z44/PXYhiO74uutdoVLzfxcl5/+nQ48ZIpNTY0NKC+vr4kH4v3eK3Xg48HP6d41TkqM1588Zzd7zaIeNGYkiFeX/5yGz784Z02EfWDo3ipy9fozCmOuT54rPkt5PjU+s2bHeI1MFD62tFRdg4/xWvLlhxqaooYG4tHWtzLgMWRKGhqKqC+ni30RbtP6WetrfJjSvY+jbJYDIN457FYbKgWbBAvAcKIV9T0ehEsy5mUd+xwFJ+6OgMf+lA/PvSh/hLTZW2tAVW1MDWlCvO2TNNEsVi0TfWHDk0gkbB8iZemaS4lgYgXAFxzzRQ+8pFeKAqwezdbfZ086ad4JZbfhyG88bw32cGD7DzPPsuuiy83BjXDFqlPzFwvLjVSs/Eg0AOsuxtoajKQy6kYG9MxPz9fEnLpB77MmEql0NDQEPo3UeH3QI3aQy/I4wU4LZiICMmXGt2fk4y5nj8+T7zowZfJGLZnsNqIV5DixWdXMR/nys317e3tiMfjJflYfI7Xevi7vHATLzdJJOJ15ZWz9nsVRUp41U6ZXo3f+EYrHnigAT/5iTiPjWAYBopF5oFVFAsNDc59JROgCoQRL2qdlkdzM5vXz593P2bZLvfS8FQeirJ6qheVFltb82htZef3+rzyeQVzczFomoWmJnmaIHuf+uXmlQO/cV/NqtcG8fIgHo+HKgiVULwmJ2OYno4hkzFCdwISVNXxgYhUr3w+j1xOwc9+xpKlqUQY5lcjXHnlDDIZA5dfPotPfvIM6FdbtuSQTBoYHo7bu7R4EPHq7haTg1Qq5TpPd/ci4nETPT0pzMxomJ2ddZW5/CAqN87OmpiejiEeN6HrJsbG4rZaY5qmb1kAYMoKTfwtLYw40vvxC1wVge/PuBpqF+BfaiuPePnHODDSZaBYZB4bXXcTYdlSo9eU7wdRiCp5bPhjVhvxIsJIxMvt8XIeBPPzGgYH4652NV5CHxae2tjYiFQqtUy8vKVGh3hVwwqf31TiLYvyCxQikFRm5RFV8crnFczMsHN89attgSHQhnCrFY0AACAASURBVGHYOxpZLBAfQwCoKstnCzqG35zCp9bzpUZv2yA+PNWPeAG8wV5MII4fT+HGGy/Cl77U7rtJQQQSC1pb82hrY3Ocl3jxYzIelx9XsmOQ2u9VAn7H2SBeFxBkvDmVULzIWL9z52Jodg+PoEiJfD6PBx+sx8xMDPv2zaO7e3HZ0+MfisqvFpqbi7jvvsP4/OdPurJPNA3o6mKrvFOn3MdaWFAxNhaHrpvYvt3/RuJVL1237F0/R4+6YyXcoacaPvzhnXjsMfa3IuLV388m47a2PDo7WXmQLzcGYXo6BsNQ0NBgIh4Hdu6kYzKfl4y/a25OxdGjGWiahZe+tCjVTqUc+CleUSV7RVFsBUFUUjEMAzMz7EGXShklY1NEgNhmFIdIxOMm4nG5J4EoUkKUfl+tuxqpG5iISBFJ8hrsveMqqNSoKIodVJpIJEraBvE5XtVAvESlxvFxHcPDOnp7k8hkDOzfP29v2BGVuLzEK5k0oWn+hIg/xsBAAvfd538PsuBS9m8+wwtgKlPQvUHI5XJCZX5szMDMTAyplIGGhqKteHkbZfPhqZR3JkKY4vWNb7Ti/PkEvvCFDvzlX+5wZRgGgUhWS0vBLvl6Dfb8GI6ipMrcp4lEArquV2zn9wbx+h1AWJkRYJNLY2MBmmZhclJHPh/dV0HG+p07gwNHvQgjXpSefugQW9ZRmJwfvDdVMmkJIyHI53XihHsS4KMkMhl/pdBLEKis+eyzTLGhciM/of34x8144IEGfPWrTEXyEi/DMDAwwK6/rS1vp+bLEi+asFtarOX36DbYh6VUA8BDD9XDMBQcODCPXbskXahlQKR4xWKxsvJqMhn2fkVBkaZpYnaWPXy8qpWqqsKxxIiX81rZMiMg7tdYbcQrqNQoIl70UKUdrl6DvVdJDSo1NjY22gp8LBZDU5Npn8M0eY+XVbWlxomJmK0KX3bZLGIxBJYavTtaGSHyV71IPVIUNq7vuqvNN3OQJ158aj2BxnFQiKplWcJy45kz7PydnTkoCmzFa2TEfY6oitexY5kSRWthQcUDD7CG5em0gZ//vBHvec8eu4QZBL7U6K94RWsXRJB5Lan0fpmSUbFRarzAoSiKlIIQi8Wgac5Nw+8QkQUpXjt2BOfCeBFGvMjcSYb9sMEnO1lT3yuv4kWeqs2bc4HKmpfQepPyp6enS9r8/PrX7Ls4d459Vl6lgDfWd3TksHVrbvma5Mzm9ICk5Ic9e9ik0deXgGmavi2NCLOzGj772c0AgDe8YXrV1C5ArHiVa1ClPxMFlxqGYZfPvOGpQZNqXZ3zvcka6wGxx8sbnirbSHy1EFRqJOJFalaxyJRUVbVw+eVi4uWveLl/zqtdhNpa3dU2qNpKjSxgml0Hn17P+7sAR90L29VICGobRPfxVVfNoq0th7NnU3jooXrh9THSU5paT6ipsVzX4Acx8WL/7exkZIYUr6Eh3TWv5XIGJidjyx4zf+LV2lpAU1MB09Mxe14nPPBAPZaWNFx66SzuuOM42ttzOHIkg9tv3+e7CYpA9piWFod4eRWvqA2yCTILJHomyRAvmc0iftenaVqkjUdriQ3ixSGTyUgNHCIrTnp9OcSL3Ry7dlVW8SKPQUcHu7bKES/a2ShWvJgPzH+QJxIJl7RMBvvnnmOruVwu5yI6uZyCp55ik/XwcBzz82qJ4sVneLW15e12RbKKF03YbW3s5t69W1n+e/Y+/Jp4E/73/+7A+LiOSy6Zw3/6T4lV3VFWSeJFipcor8g0TczNsd/LGOsJ5RIvUdugasrwAoIVL4p8c2IKnGgIWqwElRpNkxE1gKWo82hqaip5OPEG+4kJ3RUnUQ3EC3DmFH4HptPH1Eu8wj1e/L9FhMhZQOXx9rcPAwDuvLNN6HsyDMPVILtU8aJ7I3qkxNmz7LsgywMpXqOjOgoFZ+4aHjZhWcqymuR/DkVxett6O4rccw8zp99wwwS6upbwla8cx8UXz2F4OI53vnMPnnjC3/tJbb3a2vJ2qdHP49XQUIykpMoQHVK8ZEqNyWQydFwH/b5aVa8N4sVBpswIOEm55PPyC6ALwmooXvPzeQwPx6EoFtrbK0u8uroWoSgWzpxJujKXiKRs3x6+MuKJQltb3l7NEVEaGRmxf//MMzX2ah5gqpeo1EgZXh0d+ciKF63qOjrYeXYtt9br708Id6LxeO65NL7//U3QNAt//dfnsWlT5XbpiCBSfMolXuTHX1zUSh5OzONFpcbwDC8Cb42USa0niM31a9unMQxBihf1tHRiChylYNeuJSiKhXPn2D0jUrxmZzUYhoJMxnBtZBCpXYDX5xVzebyqodQIOHNKNluEqlqYno5heDiO+vqC7RWlMqRI8fISb/7fQcSrqamAG28cQ1NTAceOZfDYY6XzuWEYGBkh4lW6C7u2lsrw0RUvCk8l4pXJFJFKGVhc1DAx4byX8+ct+3rDQD6vY8ecBe/QEFMQ43ET113Hdm03Nhbx+c+fxKFD41hc1PCFL3T4HpMUr85OCx0dbE4tVbyitQsi1NeLlUaCpml2ZURG8Uomk6GvC7q+qJuP1gobxIuDLPECVrazcWIihqkpHZmMYW/nlQXtaqTJg0dvL2CaClpaCtB1S8rAKHtTpdMmtmzJoVhU0dPjEBsiTbt2hZupeaKgKKXlRn4yozIj4ezZUuLFlxrb2/PYsqU8xYtKjU1NQF0da34u8p445wU++cltsCwFf/RHQ7j66sZVz0/yHl9m960fEgkV8bgJw1BKco9M07RVnGiKl/Pv8kqN/ub6aiRe5H9bWFBhGAZHvJwHViplorMzB8NQ0NOTFBIvvzJjc3Oz8N7ldzaOjemuOIlqU7w0zb1h4IorZm3/KC0gg0uNzvgLLjVSabOAZNLCW9/qqF5emKbpKjV6PzOaooLS6wEx8ertZcci4qUosBfnfX3Oexkagn29YRDtbLz33iZYloJXvnIKtbXOvZZIWPjAB1ha66lTKaHiVyyycaMoFjo7FbS3A5pmYXzc7VV2zPWl5dggxOPxQN8pLwTIEK9EIhH6uqAFxwbxqnLEYrFIsmS56fWAW+2K+rwO6tfY0+OWumXeT5RV8u7dZLB3PARhURI8/A32pdf561/XLb+GmWh6epJCjxdleLW359DSUkAiYWJiQsfcXPjQ9hIvRXFHSvjhW99qwcmTaXR25vDe905WNJPGD17FayUBhHyWl9fnxcz14lJj0IPdrXhFJ16iOIlqIV6iTQW0KWBhQYNhGLY6SiSAyBEpPM8/n7JfI+rT6DXW+7Wc8pYa+QDVaiFePGGkzwFwyoyA2+PlJQjllhpJCXzjG0dRW1vEk0/W4umnS+cWvtToHVtUMg8rNRaLxZJNEn197PPnW6fR4ry317mXqHNckLGewCtehsHyH50yY2mmUFNTEfX1BczNxeySIo+xMSc8NZOJI5WKY9MmEhCc10dtF8QjKMeQJ0Kypcag14n6NHr/fr3nDxFWjXgpinKHoigjiqI8x/2sUVGUnyuKcmr5v5VPmiwTUdQuoPx+jUD5OxoBf+JVKBTQ3++0qwDk2H4U4uUY7NmKZnFRxehoHLGYiV27wj+DeDzuWr0cPMhIlde/MDWl4fjxNHTdtLPIenpKFa+5uSLGx3VomoXm5gJU1Zn0+NZBfqCyEB+91dWF5b8XE6/BwTj+z/9hMv6HP9yLXbva1yQt3HuOlRMvKpWVZgw5ipd8qbG+3rm+le5qrDaPF1BKOvksND/FC3ATL5HiJcrwCiqveLO8eHN9tZUaAedzANzEK5GwkE6zvDjvGBQRr6AQVW80QyZj4tZbmW3hjjtKy7V+cRIAUFur+J7HC171KhbZ3ADAtnkAjuLV3+/M18PD1K5IrjdnW1sOi4saenqSOHIkjXPnkmhqKuAlLynd/KMojm+YArp5UEmRVUVYRUS0s5HGZTnEK6jcyIsBiqKEkq+wUmOUXZTVhNVUvO4CcMjzs/8PwC8ty9oN4JfL/18ViEq8eMUrqrmeWgXt3BnN3wX4tw3K5/O232m1FC9v6yAy1nd25gOjJHjwhGHfvgWoqoUTJ9KuDJonnqiFZSm49NI5O+9LVGrs72d/09qat02qZLDnE+z94FW8AKCrS3W9Nx6WBXzqU1uwtKTh+usncP31xVVJqReh0sRLVOIDyjfX19Yq9nb+lZrrq63UCIiIl6N4FYtFzlzvr3gFlxqdsR304OI9XuPjuitOoloUL1GkRGurE/dCoPfMB84CpbtaAXmPF+EtbxlBKmXg0UezOH485Xk9+68oToIeA1GJV2+viWJRQUtL3m5YDjiK18CAc/8ODwf3afTCyfPK2GrXoUMTvsZ8fsx5wUdJxONx6LouTK93onakLtGFZDIptEEoilJCgjaIV4VhWdavAEx4fnwTgK8s//srAG5erfNHRdQ8JF7ximqup5VIkOLl92B1zPXuB7F3R6O3Ya0f+O3fYSDF6+TJNCzLITdbty5J+43495XJmNi5cxGGoeD4cedaqcx41VWz2L6dfFtJ5HLufo09Pey//AozSpYXTfg88dqzh024IuL18MNZ/L//V49MxsCf/3kfOjs7Q89RKfDEy7tDNCpUVeU8MyLFi50rCvHSdc1WgaKY68WlxupXvPgYDHep0a2+eEuN/GsBcakxKMRZ13U0NRn2uUjxymTWt0cjD554ERm68sqZElsF+dq8Pq8opUbLcnK8eOJVX2/glluYWv6Nb7jLttQgm+/TSHD6NYY/GvmdjadOseujRS+BFufnzztvnhpky3i8AMfndfhwBvffzyJrRGVGAkUJiRQvPrU+Ho8LFS/LcnabtrWVRxFEC9JUKlVSFgwjVZqmrZh4VePOxrX2eLValrVc4cYQALGR4QKAruvYtMkxuUq09LMRpnixY28S/o4m6PFxf+LV2ZkTDnI/yBKvlpYCstkipqdjGBnRbXKzdWtemgj49W0kg71lOcTrxS+eQTJpob2dGZT7+xMutaCvj72/9nZnsnMUr2AiaBjOhM+v6oJKjV/7Ghuu73rXeezYkYqskq4U9H2u9Lxhilc55nq+bVC0UmOQ4lUduxoB/1LjwoLqUrxIKSBSsXlzDvG4ieHhOCYmTN8ML9o0E4vFQlfotFBgpUY2D2Qy1WPX5YnXoUMTuOSSObz1rSMlr/PL8hKXGsULhfl5FbmcimTSKAn8vfXWEaiqhfvua3RVJUQNsgnZrOK6hiDwitfzz7Nze4kX+ad44jU6Gk3xOnCAEbx77mnC9HQMu3cv2NUHEeQUr4KteHmzvBYWnM+0rq68e0+k2ooIUBCposV8PB73tXPIVGwymcy6N4/3Yt20acuyLIVqEwIoivJuAO8GmNH0oYceqti55+bmVnw8wzCQy+WQzeYwPZ3AyZNTaGwMTzqfno5jclJHKlUE0I/h4dLXqKqKiYkJLC4ulrSmsCwgFrsYCwsa7rvvV0gknGyg/v5XAgDi8QH09RkYFh1cgFwuJ9UMGgC2b5/C4cPNePzxHE6dYueurx/FQw8dlfp7AFhaWrJX/Vu26AA24YknYrj++mH098dx/nwCtbV51NefxfAw0NGxBYODLXj66RwaGh62Cchzz20B0Ira2kn7vdbUFABsx5kzauD7n5yMwzQV1NXl8cgjj9o/Hx+PA3gZenvjrr/v6anFk0/WIpUq4uUvP4b+/hjOnz8v/Z4rARoPU1NTOENpjWWgUChA0w4CqMPg4KzrfY6Pj2NoqBtAMwxj2v5dsVjE4cOHfUlQsVhEMvliAHEUixPSY4/tpNqOycmC/TdTUyzXI5cbxfDwFCYnJ3Hy5Mly325FkM/nXaXuhYUYgIsxP6/g6aefto3Ww8O7l18xjOFh5sHZsmUWp09n8fOfD2J09BSWlhyle3CQsShNY59ZLBYLnZuKRQXALoyOqvb9Pzl5Hg891FeR91oJkBrU0AB88pM9AFAy1yWTLQDq0du74Bovc3MXLx9jEMPD7DM3DA3AVoyNFVyvHRhgD/P6+iWMjLhPoGnAy17WjIcfbsedd6Zx++0nYVmw+83Oz/fioYfcfzM83AJgPyYmClJjeHR0FADwyCPbAWxHNjvhumdisSEAXTh3rmh/r+fPX7X810MYHp4PPUdT0ziAbhQKbN675ppzgddWWxsDsBdnzyZw/vwINM15hvT2Mn9qIjGKxx8/BcuykEjUAdiK3l4Lw8PDGBxk1YdsNofjx4/j+eefD71GEbzPL9G8Rc9REcbHxzG4vBOBf2bwmJiYQA+VPgLA/71hGBXlE+VgrYnXsKIo7ZZlDSqK0g6gdBm0DMuyvgjgiwBwxRVXWNdee23FLuKhhx7CSo83NzeHEydOoK3NwPQ0YJodaG31b8hM6O9nq9mdO3NoaxMLftlsFl1dXRgYGMAQ7T3m0NBgYHRUw4ED12AzC07H00+fwcxMHImEib1767Fjx3bp3XZnz57FxIS3KizGgQMGDh8GRkY6MDpKJcEmXHvtAam/B4C+vj47s+vlL9fwT/8EPP98I1pbW3HvvWwF9OIXz6Gjg30+3d0WfvtbYHKyDVdcsdtWfP7xH6cAALt36/YuMFVlK6DBwVrfnWEAMDPDVoOdnTHXWLAspsLMzMSRTnfY27XvuGMrAOB1r5vApZfuRBdJY2uIZ555BoVCAZdccsmK/Dznz59HQwP7nHS9Ea2tzuSYzWahaezz3bQpbX+Gw8PDuOqqq3xL4BMTE7Za0NFRE/jZ82hrY8ezLOdc+TwpqVm0tiawbds2NDc3R32bFYX3XqR1ytJSDLt3d2NsjD2AZ2fZKn337jq0trIxtm9fAadPA3NzO3DJJarrQZHLsflg61b2/nft2hWahXTixDkAwNRU0lbW9uzZile8YtvK32iFcPjwYWFvVR7t7WwMFotNts/INInUAtu3N9k+po4O9jkZRsY1tgYG2M9bWy3hmHvnO6fx8MPtuO++7Xjf+2ZhGIBhqEilDOzduwPd3d2u109NGcvnSUuN4X379iGdTuMzn2HkYc8e3XXP7N3LxvfERAbXXnstLAuYmjKXX1uHTEbOf7R16xJ6e5NQVQtvelMezc3B19bensPgYAL5/BZs3+4Qm6mpuuVzp3HttZeiWCxiePgUAGByks2Zw8OMzDY3W7jsssvK3rXd39/vIogHDx4sqYzQc1SEzZs325/lqVOnhJ1EOjs70dZWGhviBf/MmZycXPHzf6VYa336RwBuX/737QB+uMbnrxjKTa93djT6S8V0bL+HjShE9exZ9t+Ojtxyb7No0Riy4FsHkQ+KfFGy4B/e27cvIZMxMDSUwOiojqeeYu/5qqucHVA7djCFwLuzcWCAzcq8x6u5uYBUysD0dAwzM/7XRdv+vXMri5RgEyO9v7k5Fffey7wVb3rT6Jp6u9zXpiCVSq3YRM3HSXi9LKZpgqwrUUuNBw/OI5Ew7VKHDIIDVKvX46VpLMLBshTMzDikge9xR6DP4/hxvaTUyCfdq6oqVUauq4vbbYPo7+vqqsNYT5CxHohCVBcWVFiWglTKcJnH/TxeImM9j4MH53Hw4Bymp2O4555GV2lXdB81NGjL1yE35kjZO3uWjV9vqZHlYFmYmtKwuAjMzrKyuqg0GoQDB5gy9pKXzKC5OXw3pF+5kTxemzdbUBRludTomOstq/x2QV7wCwi/TEmZUmPQ62Svr9oM9qsZJ/FNAP8OYI+iKP2KorwTwN8DuF5RlFMArlv+/wsS9IVHTa+nDK8gYz0RoUQiIVQYRMSLMrw6OvKIxWKRwjXL2dn47LM1GBlhURJdXdGM3vx70jRnUjl8OIPDh9nq6sUvdlY3RLzOnnWyvCzLsndx8h4vRXEM9kE7G2nCbm8vrf13dVHrIPb3P/lJExYXNVx55QyuuCId2JNyNaEoSkV8ZZqmcR4l9wOGmevZtBAluV7TNHzgA/345S+ftnvVyeBC3dUIOJ/P5CQbkzMzLIW+traIeNxREekhePJk3EW8xsZiOHeOjbGmpgJqa2ulfJl8lpdhVJ/HC5CbU0SNskWp9YB/k2w+PNUPt93GVJdvfKPVtZlBNK5oapLxeAGOz+vcOfb58xleAKCqzuL8/Hk+PLUYKcPxppvGsGXLEt7xjsHwF0NssOfDU/mmCE1NTAFcWNAwN6e5Fg8riSipqamx/96P+Oi67uu/kiFestf3giFelmX9B8uy2i3L0i3L2mxZ1v+1LGvcsqw/sCxrt2VZ11mWJVffqkJomrbcNojdVPff3yhMYfYiiuIFQGiy9xIv0zRdqclRd3FEubl27FhCLGbaRLOjI4+ammgJ6uzB7+xipCDV731vE+bndWzevOR6eNPORtZ6hb33xcUiRkfZJOJN/3d2NvpfF+1opD6NPLq71eW/T8A0ge98h7nv3/zmMWEbl7WCqqoripHgj+OneBUKBVcaOo+g1aWmaVAUIJmMlvvj3dVoGMzwryiWTQ6rl3ix65uednYZAu7sKoAnXgnk84469olPbMfcXAxXXjmDzs58aImREI/HS4zZNTXVpXjJzCkic72XdDsPbnFyfZjiBQDXXjuF9vYcenuTdhxDNmsIv9MocRIAI15TUyx7MJk0Sr57APYmrP7+aOGpPK64Yg53330El14a7gkDxIrX2JgOy1LQ3MzCUwmJRJwz2OsVU7wAR/UKIj4iUuXN+Fqp4iXTxWUtUV3LpAsMsVgMr371BLLZIg4frsFtt+0TJiXzcHY0hiteABu43sFFxGt4mE1GLMOLoiSiE68oN5euW65r37o1J9X6wQv+RiTi9cQTTowEj4aGIrLZIubnNQwMsAd7b68J01SwaVPB1eOOXVN4lpdfqRFwmmX39yfw+OO16O1NorU1j5tuUta1272qqhVZufEBql7Fq1gs2mTMWwoJU7zKgXdXI11POm3a7WWqlXhR+CvFbxCB8JKApiY2fmdnNfT1sbH69a+34rHHsshmi/hv/60HihIcI8EjkUi4EuF13UAiUR3hqYQoxIvP8fLuaKQdaX6lRoqSCCIysRjL9QKAu+9mVgZReCrgKF4ycRLsdQu2zaOzMy9UsagRdV+fifPn2XiXjZIoF6IQVYqLaGkpuEgIy/JyIiX4BtmVIl5BzyS/EqQ3QkeEKNdXTarXBvFaAXRdx+bNeXz960dx8cVzGBmJ4z3v2YO77mqFqL/y1JSGiQkd6bRhrzD8jktQFKXE60XEi/o18lESmzfnIpODqHIytQ4CgO3bw/0GIogULwJfZnTOwyaSEyfYkD17lr133t9FkMnyEoWnEvhm2aR2vf71o9iyZf3ULoBNHJUgIUGKl2VZdsQE7/EK2469cuJFO83Y9fClpmogXqJr4CMlAGdM8f4ugJW/SYE4elTDkSNpfO5zzCf4iU/0YNOmAjKZjPR9yLK8nHMkEmL1Zj0RhXjxpUYv8UokEssRG47ixW/09uam+eHmm8eQybCkfMDf4xVV8TIMAydPMhLl9XcRSPHq7XWIV1TFKyq2b1+Cplno60vY4dTe8FSCN8uLiHBTkyEdSeSH2tpa6LoemCkpIlXeZ5ifWhXl2bVBvH5HQF96W1sBX/ziCbz97UMwDAWf+9xm/NmfdWFqyn3zUplx+/alwPq+dzB5iRdl/lDbID61vqMjH1mBikq8yGAPAF1d0VtKAHD5pBobi/akpaqWq7UIYccO9uA6dYoN2Z4eIl6lk51MlhdN2KINMbRh8cSJNB5+OAtdN/HHf1xcV7ULkFdEwhCkeAFO2c/bMijsmOWAzkHn9JaagOogXmLFy63WOe2CSh+qRLyefDKBj31sBwxDwX/4D8O4+uppANG+W0VRsGmTQ4qrqU8jQY54OeZ6IlNej1cikYCu64jF2Ps0DMW1EUOm1MiOZ+KmmxxTrJ/HK5kEYjEL+byKQkHOhHXyJJuP/YiXk14PDA5aoderKMqKO2LouoVt25ZgWYr93KHWdq2tedf3wxOv4eH4itoFeaEoCjo6OgIXbjLES9O0kjEe1qfRi2oKUt0gXisAPxBiMeC//JcB/K//dQrZbBGPPJLFO96xFwMDDlMnYz0ZH/3gnbS8JntaKY6NsRsjl3OXGqMSr1gsFilgjg/vk2mOLUIqlXKdk1Svrq5p1NWVPvBJ8Tp1in02otR6Aq94eRvwEsjHIFK8Nm8G4nELCwsaTFPBdddN4uDB9c/6rdSKjQWolvZIJJCCE0XxUhSlLPKVSFhQFAu5nArDKCVe5R630ggy1xN5pTHV1FQoWaET8brrrjb09yfR3b2A971vwP69rL+LwI/beNyomj6NBLkGyBZSKQOFgtOv0RueS8QL4H1ePPEKN9cTKFAV8C81sh3h4j6mfvALTyXw/RplPF6NjY2Rx4MIXoM9Nc32Kl7etkG0gCinXZAIYXEUsrsdvT+LuthIpVJVsYgDNojXiiCa7F7xihl8/etH0d29gN7eJN7xjr04cYINfLoBaJeeCH4kiDfZe831AwMGcjkV2WwR9fVqWYMrysS9e7ejeO3ZU95KW1EU1430ildML/9XvGuHiNfZs+wm7e2l1PpS4tXYWEQmY2B2NmaHJXrhmOtLf6dpwPbtDun4kz+JXr5dDVQqfZl5xdhDbHa29PMhMhaFeAHlKVPMkO8Y7L2KRzWQLoJf2yAiqnyDbG+POSJehqEgmTTwyU+esXc+xuPxyDtl+U0hiYRRNQ8Ugux84i03ikqNdCzvzkbWfUK8oUGEjo48rr9+EgCbT/we3LW17HuRjZSgTFDvjkYC36/R2dXoT7za2toqos4Q8SKDPd8g26/UyCtelSJeYXOHjOIlel1U4qUoStWoXtUzq12A8PviqfR45ZUzGB/X8e5378ETT9RINcf2m7B4k723X+OZM2yi6Owsz+ge9F7E12LgmmumcMklc+juLn+nCF/3P3RoAt/5zhHccstZ4WuJrJ45k4BlWYHEi0VK+Jcbi0VWc2oE8gAAIABJREFU3lAUCz6dmbBrF/ts9+2bx2te0yj/pi4AqKpqq4JnzqRcfkTTBJaW2APHu6sxDJUw2FdjhhfBr1E2+dP43WC6rrvI1M6di3YT8Q9/uM8ValmOutHe7kzd8Xi072ktIDuf0FxGpNVLvKmtDf8zIl7T0zEYhoJstliywcYPH/94D770pRN48YtnfcdWTY3lupYwnDvHXucXo8L3axweZvOKn+JVX19vk/aVjn0i+6dPszmQiFdbW8H1nOHN9efPx20S3NKyNvRAlnh5lbFyyusbxOt3AEGrupoaE5/5zPO4/voJzM9reN/7dtv9CGV3NPLg2bozWZHRnN3MKyFeUUsVn/70adxxx0lkMuUrQfyDSVHY5+IncLS15ZFImBgbi2N8vIj+/tI+jTyCsrympmKwLAWNjYDfvXvttez4733vHFKp9Ve7KglVVdHUVERLSx7z85prE4ITJWG4vovVUrwAd6SEQ7yqJ0qC4L0Wr+LFx0l4iVcmY+IjH+nFBz7Qhz/8Q3eD43K8ex0dzrVQ26BqAoVzhsEbosqXmqlHnx/xkvV38UgmLVx22RwUxf/BTYqXTKnRMGDbPPzmIjLXDw+rOH8+uE8jH1cTZEiXgTdSgg9P5eEuNSZgmozMplJr4xvUNM11b8ViMeF34322lVNerxaD/QbxWgHCGHc8buHv/u4s3vzmERQKKpaWNKRS8jsavaBVAJnrJyZUWBbQ18cGbTnGepnz+sG75TcqopRXNA3Yto0R1meeMTA4yD57v89y61b/LC/HWO+/Sv7gB4Ff/OIU3vnOyhjaqwlUvtu3j5WMjx1zJngqM3qjJFaTeDkhqlqJx6uaTON+jbIdc72/4gUAb3zjGN72thHXxhoWlRD9YbB5s3O/JhLymyDWEuVkefGlRprL/EqN5O8qd4eg33glO62M4jU0FIdhKGhuzvtm2Om6hcbGAkxTweSkCkWx7MUzj7q6OhfZWinx6ujII5UyMDYWx9hYDOPjOlTVQkeH+15mY1BzbQppaCisqW+Qf2752TpWWmoENhSv3wnIDExVBf7iL/rwp3/KjLQHD877qjphx6QByZtSJycL6O9nEuxaKl789ZSLqL4WIl4PPggUCgqamgq+k51Taiz9PILCUwmxGHD55ZuqwttVaTjEi21oOHbMmYxE/i5ZrJx4OSZreshWU+hhqcfLMddbluM3amoqIh6PSz04U6lUWT42ahsEVKfiBZSXXs/HiXiJlzdElTK8ysnEChqrUYjXyZPsOw5rk0U+L4ApoiLO4O05WC7xoo1YqupUVx57rM4OT02nS++peDxulxuda1y7RY9MWGoliBcFn6831v8KLmDIkhVFAd7xjiF885tH8clPngl8rQzxApwJa3CwYGd4lbOjUea8MtdTDuLxeKSbh3xev/gFmxCDlENH8Sr9PGilHES8gPK8NxcCFEWBoig+ipfY37W6pUYnUsLr8amm3XpBitf8vIpcjvXgS6VM6LqORCIROsmX+3Dl2wZdyMTLG6LqLTXyx6lEqZEQNO9QlpdMiOrRo+z7o3vJD+TzAsTXW1NTU9KVolx1pq6uzn5/ZLB/5JHs8nXkhd8L69nozKeVCE+NAhnFi0rPhHKvb4N4XeBgbVLkS227dy+ivj64LBCVeA0NFV3hqWtJvCrRszDKMWhn429+Q82xxZ4KwMny6utLlkRKBIWnvlCgqqr9sDh+PG0b7J3Uevc4XQuP1+KiWlJqrGbFi4+TcEIn2X1J91PY+C734cqyvKqbeMl8dysrNcqFp4oQNFbr6hTXeYJw/DgjXnv3hhEvh9SISqNetQtA2Qb7ZDJpE3pS4n79a8YmW1tLo04A985GwCmXrxVkiBeAkhiMCxUbxGuFqPSXH3Q83nRIxKunJ4+REVa7b28vv6lpOauHSpThohAvUryoMbBoRyMhmzXQ3MzM47yiAzir6xc68WpsLKK1NY+FBc0uya53qdEbJ1DNxIs31/P+LkCeeK3Ex0Mhqhe2x4t9XqI4CXoYK4pSkl4PrKzUGDTfZbOK6zx+sCxHLV6J4pVOp303WJQzPnjiRYrXzAztVMwL7yl+ZyPAni/rVWoMeq7wBK2a/J9RsUG8VohKf/lhkxUNSiJeTz6pwLIUtLbmUVNTntolc96ga1kJohCvrVuX7C35QDDxUhTguutYZs9Pf+qOg3BKjVGu9HcLfj4vUbsgQE7xKj+93n9XYzURLy+x5EuNfIYXn8UXNL5ZkG35qnFLC7sXqlXxKsdcz5ea+Yesruv2mKhEqVFG8QrL8Roe1jE1pSObLQbORYBb8fJer0jtIkQlXpSP6FW8CN7wVEKp4rU+pUZvvqPf64AN4vWCxloqXkAp8Xr6afb6lexolDmv6DoqUSuP8uBJJCx0dDiTQ0eHf6kRAG64gYWy3n9/IwxOFNhQvBySRCUS8qo4itd6lBq1C8rjxZvrecWLf7AFjW9v94ao2L+f2mb5x9OsJ6IRL7fHq67O/Xnrul6ieEVJrfci6KFdX68unyd4fqPFyt69C4Et4AC34sWXGjVNC/SSRiVetNOc/q6xsYj6eud8ra3iEiIz1/PXaFYssFkGdM94fVxeeMn4hYoN4rVCVJJ1y+y4oImciNeRI+wGW4mxHmAP4igPzkr4u8o5DvVsBILN9QBwxRUWtm8vYnxcx29+4xhXNzxeDvHav9/xeQHrU2rk2xfxuxpVVa2qVW2Qud6b4UUIGt8r3dp+++1FfOtbR/C614m7Paw3oipeuZyCQkFFLGaittb9tzzx8ipe5cRJBI1V2VIjlRn3758PPZ9b8XI8adlsNpBoRB0j9AwgfxjfoB0oDU8leM31lejTGAWqqkLX9dAqCr2/qH0aqw0X7pVXCSrJumWO5VW8pqfZw2AlURJRzk+oFPFSVTVSyZIM9kBwqREA0ukUbruNTWo/+5lTbtwoNZZmeR0/noZh+BOvtcnxUoW72qoFMuZ6ryk5Fov53lcrJV7pdAJdXUvQtLVTJqJA1/XQcZNKmUgkTOTzKkZHnd2LyWRpWCaZ69kOUgWzszFomiXs7RqGSsRJEPEKM9YDTogq4CaKYc2woxrs+blUVG70hqcS4vE4mpoKiMXYvVipdkFRkEgkpIlXNS3IysEG8Voh1pt4ETo7V1ZqBKIN5pWG+/EoZ2djNlu0PR9+SCaTePvb2aT14IMNWFpSUCwysqooFpqby7/mCx1EvBoaimhry2FxUUNvb1Lo8ZIdF5VNrq++xs9+5nrm8XLKXt7r9hvfK72H4vF41a/6ZcYObUigsONMxhSmlPOKl7OLtBCYi1jOdcnESUQx1gPsPVHuGpVGNU1DHZ0sAFHGCU9ciNjv2sXmTLYBS0yEFUVBPB7DxRfPo7GxgG3bpE9ZMcTj8VDiRYuxDeL1AkclB4DMg4Ym21LidWEqXlGPRas3CkgNO253N3DppQXMz2t4+OEsJid1WJaCTZv82wW9EMCTJHpwHD2ath82vMdLVplZKfGam9OwuKhBUSyk02bVKV6KoriIjshc39BQLLlu0fjWNG3Nc/DWA1HKjZS55zXW03H4OImV+LuAlStevLF+82Y5xe2220Zw3XUTdjPtbDYrRZzLJV5exWvTJnF4KiEej+Of//kkfvjD51BTs/atumQUL03TfFsKXUi4sK++CrDWihfAbi6R4rXSB5Xs+TVNq+hDMQrxOnBgAX/5l+ekfBV03Le9TcXTTwM//WmTPemth5ReTeAn/H37FvDggw04fjyNYpF24zmKl2xLm5USLyIv6bQJVa2uHY2EWCyGfJ6VuHXdQixmolBQ7T54IsVL9OCshGK80l2Ra4F4PI6FhWBFiOayMOLFm+tXEiUByCleQcSLN9bX1GSQTqcxNDQUeM53vcvtxQsrMxJWSrz275/H6143hosumg+8p3RdRywGxGLmuhCbRCIhJR4kEomqU8OjYkPxWiHWWvECSolXImGivV1d8S4U2fNXsswY9XiKArz+9WPYuze4RQebRNh3c9ttGlTVwiOP1KGnh01MYan1v+vwEi8AOHo0I/R4rTbxIo8XPUyrMcOL4GewHx5m1+o11wPihUWlesZVS+85P0RRvPr72UNX5O/TdR3ptAlFsbC4qGFkhP2+0n0aAVniRWXGeSQSCXR0dEQiwaqqSpUZAfnv2KsEkT9M04BPfOIc3vjGscB7ar3DSdPptNR5E4nEBa94bRCvFWK9FC9qlA2wMqPXjLqa56/0Kjsej5f90PYDf41tbcA11xRQLKr4znda7J+9kOEmXkw9PHEiZZvbyTjOb02XOWY55J/KmkS8qKRUjataP5+XaSrLu/FKvWnJZLLkc6nU4qXSi6BKQ+Y7JI8XES8/xUtRnLFB6lg5qfVA8ILZKTX6Px75xHr6frdv3y49/mXLjIC8wV6kFnnHR9D34d0UstaQfa5cCCX2MGwQrxWCD0tcKaIQr1gMqK1lk04l/F1Rzr8ak32lyZz3eG9/O7tRn3mGqTcv5CgJwE286usNtLfnsLSk2SUUUqHS6XQkA3c5Zm86FxnUq7FdEMFvZyPA1C5VVUruI0VRSrwrG4qXA1LviXhls1bJnEpxN6SGnjvHPs/V8HglEkA8bqFYVJHPl87tvLF+//4Fe+5Np9OBYag8ZMuMBJk5V+SP8v6drOJVzcRmQ/HaAIDKDdIoxAtwJqyVhqcSZN/HavhKVpt4veENqivhe0Pxct/6tCWeSmZUQpMtMxLKUS5JNbIsZfmcFw7x4kuyQf3t+PEYi8Uq9t6q/QEUpdRYKLAxSTlaomPRTubVJF4AkMmw2AVRuXF4WMfkpJNYzxOe9vb2UJKkqqpviyA/lEu8vMQ8zOMl+ne1YcPjtQEA60O8FEWxiddaKl6KoqwK8aq0iua9xro64DWvccoSG4qX+9anIFUCEYqoispKiBeBwlMrXX6uBErbBrkVLxniVe0qVSURhXgRgogXkfLBQUYgKp1aT6itJeJV+ojkjfWqqrjIjEzJMUqZkVAJxYt6XvphQ/FaO2wQrwrAO7lomobOzs5IrDzKg4Zlrji9tXbsWFozxUvkV6kEKk3mRJMQlRuBDeLlnfjJ50Ug39VaKl6ETKb6oiQIlVC8qt2XVUnIfI/UKJvQ2CgeQ3ykhGmyOajSqfUEh3iVvpY31ota3KRSKXR0dPgeO2qZEZAj66I5j/eHhX0X9PswgrbeiMfjVTs/yKJ6P90LCPxkW19fj61bt0LXddTX1+PkyZMoFMInh3J6Jb7//f24+uppvPjFMxUhXorC/ClB17ta29credxEIiFcUd5wg4ps1sD0tIbNmyt2ugsSfqVGQirFyE/UcZlKpTA3Nxfxb9w5SNWYWk/wXheVZAGmePld9wtV8SIPrGX5t6DxKl5BxIsUL+e10c31cooX+6+IeHmN9SK0trbamYum6YyRcsqMgEOgDEOcGRbUXDqdTmN2djb0nqLFf7WH8gLVXQqVQfV/whcAaBvvjh07sGvXLntQJJNJdHd3Sw2Sch5wbW0FvPa1E0gk9IrdLGHXsVrES1XVipBHwP8a43HgzjsX8d//+yL276/IqS5YeMdLfb3hajqeSpmR1S52HP+Gv34gcz2hpqZ6iZd3bLlLjf6KF79z94WkeAHhc0op8RITIy/xSqcNF/GVhYzi5Zde702s95uzSDU6cOCAS+Eqp8xICBo3Qc2l6e9k7qnfhR2DFwI2iFcF0NDQgAMHDqCxsbHkd8lkEnv27AmdfMpRvAiVIixA+GpwNR8aa9F4++abM/jQhzaGvWjy51WvcolXbW1t5AdLLAbouvMArcZ2QQSvmsqXGpua/D1e7LWpslTECx3hiznTtfGlqcmfeFGpkb1udYz1gEO8KF6FQMb6urqi1KameDyOnTt3Yvfu3cv5i9EXJoQgpTQo8Z3mbFkBYIN4rT42nkAVQCaTCRysiUQCe/bskd5RIoPVIl7rpXgBlSN1QdcYJMm/kCAiR9QNIBYzoetWWSUxRVGkgyF58ASmmkuNgNev5RCBhgZ/xYu9Nv2CU7uA8DlFUdy9Z4OIF694rUZqPaGujqlHCwtu4sUb6xUlmPC4j1eH/fv3l+XvIgT9rQzxklW8XmgLg/XABvFaIyQSCXR1dfn+/kIgXrFYbFVvyubm5ooY96u9jUo1IEjxYi17ym9HU86q3p2UX93EiydPXsUr6LpTqdQLyt9FiBKiCgB+FqhSxau88FQ5xYvNQ16Pl5PfxRYpUeZeRVFWNL+l02nfezKIeCWTSek2bxuK19pgg3itIVKplO+KNyqh0TTN/pu1Il6rvVqvxE1fSa/Y7zJExOuii+ZRU1PEtm1LyGQyZT8kyjMPXzjEy614ye1qpL97IRIvGVWI93n5CaZrqXhRpIU3ToI31tPu8rVEc3Oz8Odhn7FsO54Nj9faYOMTXmPU19cLm8aWoyQlk0kUCoU1I15roSTpul6yEygKVivu4ncNIuJVU2PiBz84gmTSRE3N/9/e3cbIdZ11AP//79yZ3ZnZyc7OemeN3zbxSwKmGLd1g9NC5YR+sEmJwaQ0FSFVoURIlIQKVEKQShHqh6KKQqEURa0hQKlBaWlDExKq4kAJbZQGF7uxiRqF2rVjO6bgl03it/jhw713fXd2Zuf9njs7/5+08s6d2ZnjOffc+9znnHtO5/Nt+L6PYrGIl19uvpB5ZH5X45VUd3fMz3hFSysZKpUri2ZT8vn8onf3LVWtjBWMuhpJQ6lUv/1mMpm5aR6AZAKvQ4eKOHCgiHXrXkU+f2XBwPqkjzWVSgVHjx5dsB81OwcUCoWWM17Sfwq8EjYxMYEXX3xxwfZOA69z584tqcALAKrVKk6cONHR36qbsTWNBsBHt+d3MrA+rlwutxl4Xc1klEqWyslTI/UyXuXyZYyOLt6GB+E2/X4oFAqLToUAXM14jY0ZPK9xMFMuX32ulcCrXC4jn89jdHQUo6OjLa97GK1s8eST43jyySCDu3LlhZqB9e1ndrvl+z7Gx8dx+vTpuW3x3o9GxsbGWgo4c7ncUF4cJG04jwQORQeAWp0GXplMpqep4WKx2LA7JKmBwcuXL+/4xKvAqzXNl0zprkus3e7GeMZrYiK9QRcQBFBRG44G1y82a700D+SjSVSb3ZcRD7yaTZ46OTmJdevWYcWKFahUKnMBYCt27QLuv/84duz4HjZseAW+fwXHjgUXuJs3z7Y1sL7XJicn5z1upRyt3vCiMV7J0DfswMTEBI4fPz73uNOZgqMruF6Klrw4dOjQvO6+egv99ksmk8H09HTdzGAzCrxa12hiy3w+33XGKZo64eLFiy29Pj6X18RE+q8H8/k8zp8/jzVrLiCTMdxwwyupHpfmWqlUwpkzZxo+H2W8msXr5fLVfWOxwfX5fB5r1qxpr5AxIyPAXXedxa5dwWTAly4Rhw+P4MiRUWzePBu+xs1Y0vHxcfi+j8uXg/9/K8flVrOtvu9rjGwC0n+EW4Jq7/rq9Eq5H4FX9L4rV65csC3J8QzVarWjYFSBV+saHYx7NQC8nbsbo4wXaSiX0585irK/K1ZcxKOP7scHP/gdZbwW0TzjFQQR8YxWPfFZ7Rt1NXqeh7Vr13bdtRu/+MhmDevXn8ctt5ye6453lfEiOW/OyF6XQ/tx/ynwcqBQKMwLmDrd0XO5XN+6/6rV6rz0dNLzD0VZr3b/RgeN1jXKanU7vivSTndjFHgVClcwOpr+zFE8wJ+cvBxOAqt9r5FCobBoILRp0yzWrz+Pd7xj8cBrYiID0uB5Nm8KiriZmZmeBCPNsr4uM0PxuxuVoRo86mp0pFwu4+TJkwC6O2B3cut+q2ZmZnDw4EG89tprTjJJ1WoVJ0+enEupN6NsV3sanQh7FXiVSqWmg6ojVxflTvdUEpF6FyIKvBojibGxMZw9e7bu8+Xya3jkkSO4/vrrF32fsbEs7r33KHzfUC8hPjU1VXcFkU4sFnh5nud0P42mJnrllcbrRUp6KePlSHwW4m4O2P0MNnK53Nw4CRczbnueh+XR7UUtUODVnnqBVzab7dkVdDuz2EcZrzQvFxRXbxDyIASMLpWilacbaCVgymazuPPOl3DHHacWPFcoFLB69eqOy1drscArDVmmaJB9Gsoi7VHg5UixWJw7UKf5RFOpVDAxMeEsqJmcnGx5bJkCr/bUC7y6WdKknlYzstHg+kHJeAEL97c0t+M0WCyT6nleS/teo++YJNauXdvTcahpD7wqlQpGR0eHdpqSQaYacygafJz2A/bMzIyzW4x9328ja6LAqx31Dti96qaJjI+Pt3QyjAKvtK/TGFebBU57O3atWCw2DBLK5XJLd9I2+o7L5XLPg6Fm6++65vt+2+NgJR0UeDk0KIGX68ksa+etaUSBV3tqT4IjIyM9X9ImmsW+mWgi0rGxKwNzBR/f3zKZzMCU2xWSDfeFRkvh1PJ9v24gX61WuypbPeVyueFFQ1rGVbV6bJR00ZHCoVKp1PeFp5eC8fHxpsFfL+aeGja1gUKvs12RVk6qb3rTWWzaNIvbbjvXlzL0QzzjpTbcmnrjvEZGRpqO/4qr/a4LhULPbgiJ832/YfdnGjJeALQ82oBS4OVYuVzWQbsJz/OazgnVziB8CdQGXv26eq5UKk338eXLL2H37uewfXtrE66mQXxuu0HpHnWtXoDV7n5Xuy/1I9sVmZqaqrs9LRkvGUwKvBxr5aQkix+cR0ZGej4ofBjEA69isdi3q3iSLY9FGaQAJr6ag9pwa+qN8+om8FosK9ULY2NjC8byeZ6n+pauKPByrJ0U+zArlUoNT8rLly9Xyr0D8RNgv7oZI1NTU10Nnk6r6KQ8aOV2pXac1zXXXNN2sB3/rpctW9b3sXW1Wa+0dDPK4FLgJQOj3pVtLpfTANMORScskn3PGHqe11KX0CBlvICrA+wHrdwuxcdjddJ2o8CLZMOuwF6qVCrzLhrUzSjdUuAlA6PeQXp6elrZrg5FgVepVEokY1OtVptmJwYtgFHGq31Rlj+TybS1nmck+q7L5XIi+4vneVqiR3pKgZcMjHw+P+8W/mw22/Jt6LJQFAT1u5sx4vt+0/oatMAr2h8VeLWuWCzOLfTcSTdh9F0nke2KxD9LGS/plgIvGSjxrFcrGRRpzPO8lmcM75VmGcpBC2B830culxu4crvkeR6KxWLHQwSy2Szy+Xyi42NHRkbmJnJWxku65eSsRXI7yedIPk/yPhdlkMEUZWcymUyiV7xLUTRNR5LBay6Xaxjo+b4/kIF0oVBQ4NWmqampjifrzWazfZ1CopHoMxV4SbcSP8qRzAD4BIAdADYCeBfJjUmXQwZTNptFqVRCtVrVhKld8jwvsW7GuEZzrg1aN2OkVCppnGGbutnvfN93st+Oj48jn88ryJauubi8vBHA82b2gpldBLAHwE4H5ZABNTU1pTXKeiDefZKkfD4/txxL/GdQA69WFwKX3iDpLDO6atUqJ58rSwvNLNkPJG8HsN3M3hs+/nkAP2Jm76t53d0A7gaA6enpN+7Zs6dnZZidne3LEhPSPdVNOqle0kt1k06ql3RKql5uvvnmZ8xsS73nGi+/7piZPQDgAQDYsmWLbdu2rWfv/cQTT6CX7ye9o7pJJ9VLeqlu0kn1kk5pqBcX+dpjAFbHHq8Kt4mIiIgsaS4Cr6cBbCB5HckcgDsAPOygHCIiIiKJSryr0cwuk3wfgMcBZADsNrNnky6HiIiISNKcjPEys0cBPOris0VERERcGbzZCkVEREQGlAIvERERkYQo8BIRERFJiAIvERERkYQo8BIRERFJiAIvERERkYQo8BIRERFJiAIvERERkYQo8BIRERFJCM3MdRmaInkKwOEevuUyAP/Tw/eT3lHdpJPqJb1UN+mkekmnpOplxsym6j0xEIFXr5H8hpltcV0OWUh1k06ql/RS3aST6iWd0lAv6moUERERSYgCLxEREZGEDGvg9YDrAkhDqpt0Ur2kl+omnVQv6eS8XoZyjJeIiIiIC8Oa8RIRERFJ3NAFXiS3k3yO5PMk73NdnmFFcjXJvSQPknyW5L3h9grJL5P8dvjvhOuyDiOSGZL7SH4pfHwdyafCdvO3JHOuyziMSJZJPkTyv0geInmT2ox7JN8fHse+RfKzJEfVZtwguZvkSyS/FdtWt40w8PGwjvaTfEMSZRyqwItkBsAnAOwAsBHAu0hudFuqoXUZwK+b2UYAWwH8SlgX9wH4ipltAPCV8LEk714Ah2KPPwLgY2a2HsD/AfhFJ6WSPwLwmJl9P4AfRlBHajMOkVwJ4B4AW8zsdQAyAO6A2owrfwFge822Rm1kB4AN4c/dAD6ZRAGHKvACcCOA583sBTO7CGAPgJ2OyzSUzOy4mf1H+Ps5BCeQlQjq48HwZQ8C+Ck3JRxeJFcBuBXAp8LHBHALgIfCl6heHCA5DuCtAD4NAGZ20cxOQ20mDXwAeZI+gAKA41CbccLM/hXA/9ZsbtRGdgL4Swt8HUCZ5Pf1u4zDFnitBPDd2OOj4TZxiOS1AF4P4CkA02Z2PHzqBIBpR8UaZn8I4AMAroSPJwGcNrPL4WO1GzeuA3AKwJ+H3cCfIlmE2oxTZnYMwEcBHEEQcJ0B8AzUZtKkURtxEhMMW+AlKUNyDMDnAPyamZ2NP2fBLbe67TZBJN8O4CUze8Z1WWQBH8AbAHzSzF4P4GXUdCuqzSQvHC+0E0FgvAJAEQu7uiQl0tBGhi3wOgZgdezxqnCbOEAyiyDo+oyZfT7cfDJK9Yb/vuSqfEPqLQBuI/kdBF3xtyAYV1QOu1EAtRtXjgI4amZPhY8fQhCIqc249TYA/21mp8zsEoDPI2hHajPp0aiNOIkJhi3wehrAhvBukxyCAZAPOy7TUArHDX0awCEz+4PYUw8DeHf4+7sBfDHpsg0zM/stM1tlZtciaB//bGY/B2AvgNvDl6leHDAPJWWXAAADUklEQVSzEwC+S/KGcNOPAzgItRnXjgDYSrIQHteielGbSY9GbeRhAHeFdzduBXAm1iXZN0M3gSrJn0AwhiUDYLeZfdhxkYYSyR8F8FUAB3B1LNH9CMZ5/R2ANQAOA/hZM6sdKCkJILkNwG+Y2dtJrkWQAasA2AfgTjO74LJ8w4jkZgQ3PeQAvADgPQguoNVmHCL5uwDeieBu7X0A3otgrJDaTMJIfhbANgDLAJwE8DsAvoA6bSQMlP8EQdfwKwDeY2bf6HsZhy3wEhEREXFl2LoaRURERJxR4CUiIiKSEAVeIiIiIglR4CUiIiKSEAVeIiIiIglR4CUiqUZykuQ3w58TJI+Fv8+S/NM+fu42km/u1/uLyHDym79ERMQdM/segM0AQPJDAGbN7KMJfPQ2ALMA/j2BzxKRIaGMl4gMpDAj9aXw9w+RfJDkV0keJrmL5O+TPEDysXB5KpB8I8l/IfkMycdjy4jcQ/Igyf0k94QLt/8ygPeH2bUfIzlF8nMknw5/3hL77L8i+TWS3yb5S26+EREZBMp4ichSsQ7AzQA2AvgagJ8xsw+Q/HsAt5J8BMAfA9hpZqdIvhPAhwH8AoLFpq8zswsky2Z2muSfIZZdI/k3AD5mZv9Gcg2AxwH8QPjZmwBsRbBA8j6Sj5jZi4n9z0VkYCjwEpGl4h/N7BLJAwiWBHss3H4AwLUAbgDwOgBfDlYKQQZAtC7bfgCfIfkFBMuL1PM2ABvDvwWAa0iOhb9/0cxeBfAqyb0AblzkfURkiCnwEpGl4gIAmNkVkpfs6npoVxAc6wjgWTO7qc7f3grgrQB+EsBvk/yhOq/xAGw1s/PxjWEgVrv2mtZiE5G6NMZLRIbFcwCmSN4EACSzJH+QpAdgtZntBfCbAMYBjAE4B6AU+/t/AvCr0YNwwerITpKjJCcRDMp/uq//ExEZWAq8RGQomNlFALcD+AjJ/wTwTQBvRtDl+NdhF+U+AB83s9MA/gHAT0eD6wHcA2BLOAD/IILB95H9APYC+DqA39P4LhFphFez8SIi0q6Ep7gQkQGnjJeIiIhIQpTxEhEREUmIMl4iIiIiCVHgJSIiIpIQBV4iIiIiCVHgJSIiIpIQBV4iIiIiCVHgJSIiIpKQ/wftxH0W1P0mPQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','VelocityOfMoney')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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zeukVmir3jTrUtfz+VpO3MbZR6c11zZRSVQ4feTyUUl2VUsPN75EijOOldJ0zgIhqAslAc3/1Nbf99Rg/UL+rxaI/xvjuW1zJvA8xvkP6mPV6DlivzRv4apABtFNKecPR7815wCtKqVZmvdsqpUZVkb+m4yYA48fWAcCmlHrMTF9bdTlGKjMTuM08RuOAHuZ28sW4elAr5r47wKxDPsZn764hmxCVkuD5NGde/rsM44aUAxgtNw9Qt8/2GYwgZwvGzXB/mNPqo355wD0YX6CHgeswbmSprWlmnX7HuIT7AkZ/tVqvt9a6GCNoG4PRKvMmcJPWenstlj8O4+T6vtY6vfSFEdTbMPqwfgvMwWixS8S4AQeMEwTAPzAuc6YDH2CcKB1UQWu9EeOmy9cxtlki5h3s5rpcAUzG6ON5A0aQU1reqxh94bPMepQ/qb8GXKWMkQzmmJ/PhRiX7febdSy9ObS07k3M6bHAex5lTQTe9Nwu5rZ5m2NB9vUY/S0PYuxTH5fW9UT2XbMryLPAGmVcmo7RWh/CuKG0BFivlMrD6O+bY27D8mXsMusWAfyplMrBuEqyEaMfa4201gkYn8G/Mbb5JRhDShZXkvxJjMvXScD3GPtCndViHyhvvrmsVeayi/AI3LXWDowfSSPw6JJSi32jNsrsb7VYt8/NZXykjG5H2zCO2/rkgxGQZWGsUyuM+xjAuMEW4KBS6o9K8nph7MelNwzejdGdrsZh57TWhVrrFWZ3u/LzVmD86P4U48pCJ451panJTxg3kKcrpbLMaQ9hfheZ23EFxo/cyupV03GzHON7ZAfG/ltEHbrr1PEYqSz/Vox99wFzOz9lrs9OjL7+tdUU40fFYYz1OAjMqkN+IY5SZbvNCSFOlNkytw3jJpcKY0crpV4AWmutJ1bIfHzLWw+8rbV+r8bEDUwp9THGDTzlW8TFCTid9gEhhDjdScuzEPVAKXW5MsZWbY7RcvZVaeCsjLFyzzK7YPTHaDH8/ASWdb5SqrV52XgicBa1u2x8ypmXSjspY6zh0RgtzV80dL1Od6fTPiCEEH83p+PTzIRojO7A6NbgAn7BGFatVABGV41QjP6JL2E8VOR4deXY2Mu7gau0+ZCPRqg1RpeAIIy+0Hdqrf/XsFX6Wzid9gEhhPhbkW4bQgghhBBC1JJ02xBCCCGEEKKWJHgWQgghhBCils7YPs8tW7bUERERDV0NIYQQQogabdq0KUtrXdWTIk/G8lrZbLZ3gJ6cWY2tbmCb0+m8tV+/fpmVJThjg+eIiAg2btzY0NUQQgghhKiRUiq55lT1x2azvdO6detuwcHBhy0Wyxlzg5zb7VYHDhzonp6e/g5waWVpzqRfEkIIIYQQonZ6BgcH555JgTOAxWLRwcHBORgt7pWnOYX1EUIIIYQQpwfLmRY4lzLXu8oYWYJnIYQQQgjR6Fit1n5RUVHdO3fu3GP48OGRWVlZ1voo97nnngtu3759T6VUv7S0tDp3YZbgWQghhBBCNDo+Pj7u7du3x+/cufPPwMBA56xZs+rlhsnzzz//yA8//LAjNDS0+HjyS/AshBBCCCEatZiYmPzU1FRvgP79+3ddtWqVH0BaWpqtbdu2vQDmzJkTdOGFF3Y677zzOoeHh/ecMmVKu8rKGjRoUGHXrl2PK3CGM3i0DSGEEEIIUbMHPokL25Ge51efZXZpHVAw66reKbVJ63Q6WblyZcDkyZOzakobHx/vFxcXF2+3292RkZE9p02blhEZGVly4jU+RlqehRBCCCFEo+NwOCxRUVHdg4ODex84cMBr3LhxuTXlGTx4cG5QUJDLz89PR0ZGFu3atcunvuslLc9CCCGEEKJKtW0hrm+lfZ7z8vIsQ4cO7Txz5sxWM2bMyLTZbNrlcgFQUFCgPPN4e3sfHSHEarXqkpISRT2TlmchhBBCCNFoBQQEuOfMmbP3zTffDCkpKSEsLMyxYcMGf4CFCxc2P9X1keBZCCGEEEI0aoMGDSqMiooqnDt3bovp06dnvPvuu8HdunXrnpWVVedeFM8880yrkJCQszIyMrx79+7dfcKECeF1ya+0PiPHvyY6OlrL47mFEEIIcTpQSm3SWkefquXFxcXt6d27d4036P1dxcXFtezdu3dEZfOk5VmIxigjHs7QH7ZCCCFEYybBsxCNzV/L4K2BsPe3hq6JEEIIIcqR4FmIxkRrWPWi8b7wcMPWRQghhBAVSPAsRGOS+COkxRnvnY6GrYsQQgghKpDgWYjGorTV2ct8iJOrXh+IJIQQQoh6IMGzEI3Fnl8hZT30v8343yUtz0IIIURjI8GzEI3F6tnQJASiJxv/u4obtj5CCCFEA7Jarf2ioqK6d+7cucfw4cMjs7KyrPVR7qWXXtohIiKiZ+fOnXuMHz8+wuFw1OkphBI8C9EYpPwOu3+Gc+8G36bGNOm2IYQQ4gxW+njunTt3/hkYGOicNWtWcH2Ue/311x/avXv3toSEhD+LiorUq6++2rIu+SV4FqIxWD0b7M2h3ySwehvT5IZBIYQQAoCYmJj81NRUb4D+/ft3XbVqlR9AWlqarW3btr0A5syZE3ThhRd2Ou+88zqHh4f3nDJlSrvKypowYUKOxWLBYrEQHR2dv2/fPu+61KXOjzQUQtSztC2w4zsYNgN8moDLaUyXlmchhBCNwRf/F0ZmvF+9ltmqewHj3kipTVKn08nKlSsDJk+eXOMTD+Pj4/3i4uLi7Xa7OzIysue0adMyIiMjKz2hOhwO9fHHHwe9/PLLtapHKWl5FqKhrX4JfJoeu1HQYgWU9HkWQghxRnM4HJaoqKjuwcHBvQ8cOOA1bty43JryDB48ODcoKMjl5+enIyMji3bt2uVTVdqJEye2j4mJOTJ69OgjdamXtDwLcTJs/wbiFtXuEdvbv4bzpoI90PhfKaPrhoy2IYQQojGoZQtxfSvt85yXl2cZOnRo55kzZ7aaMWNGps1m0y6XC4CCgoIyN/t5e3sfPfFarVZdUlJS6c2AU6dObZOVlWVbvnz5rrrWS4JnIerbts/g08nQpLXRj7km7QdCzF1lp9l8pNuGEEIIAQQEBLjnzJmzd/z48ZEPPfRQZlhYmGPDhg3+w4YNK1i4cGEtTrRlvfzyyy1/+umnZqtXr06wWus+gIcEz0LUpz+/gE9vhbAYuH6J0Yf5eFi95IZBIYQQwjRo0KDCqKiowrlz57aYPn16xoQJEzrGxsYGjxw5MruuZT344IPhbdq0cURHR3cDuPjiiw/Pnj07rbb5JXgWor789ZXR4twuGq5ffPyBM4DVR/o8CyGEOKMVFBT8z/P/n376KbH0/Y4dO+JL38+ZM2c/wD333HMQOFg6feXKlYlUwul0bjqReskNg0LUh+3fwJKbIbQvXP8J+AScWHlWL+m2IYQQQjRC0vIsRFXy0uFgIhTlgiMPHLnGq3QouVIlBfDbG9CmN9zw6bGHnJwIuWFQCCGEaJQkeBaiMvv/B++NNQLj2mg/EK79CHyb1c/y5YZBIYQQolGS4FmI8nJSYdE14NcSLnkV/FoY4zD7NDX6MVsrGTJSKeNVX6xe0udZCCGEaIQkeBbCk+MIfDgBivNh8ucQ0r1h6mH1ltE2hBBCiEaoQW8YVEr9Uyn1p1Jqm1LqQ6WUr1Kqg1JqvVIqUSn1sVLK20zrY/6faM6P8CjnYXN6glJqVEOtjzhF3G4jyK33cl3GMHMZf8L42IYLnMHs8yzdNoQQQojGpsGCZ6VUW+AeIFpr3ROwAtcALwCvaK0jgcPAZDPLZOCwOf0VMx1Kqe5mvh7AaOBNpVTdR7wWp49l98KrvSCr0hFojt8Pj8GOb2HMi9B5RP2WXVdyw6AQQogznNVq7RcVFdW9c+fOPYYPHx6ZlZVVL/Hd1VdfHd61a9fuXbp06T569OiOOTk5dYqHG3qoOhtgV0rZAD8gDRgOfGLO/y8wznx/mfk/5vwLlFLKnP6R1tqhtU4CEoH+p6j+4lTLiIc/PoDCQ7BoPBQcqnsZ2SmQ+VfZ19rX4bfXof8d0P+2+q93XdlknGchhBBnttLHc+/cufPPwMBA56xZs4Lro9y33347JSEhIX7Hjh3x7dq1K37hhRda1SV/g/V51lqnKqVmA3uBQuB7YBOQrbUuHQtsH9DWfN8WSDHzOpVSOUCQOX2dR9GeecTfzU9PGzfuXTkPPr7ReN34Odi8a87rcsKKx40guTKRI2HUc/Vb3xpkJufyx3fJuJzuMtNtGSMYErQQ+ymtjRBCCNE4xcTE5G/ZssUO0L9//66zZ89OGTJkSEFaWpotOjq6W2pq6tY5c+YELVu2LLCwsNCyd+9enzFjxmS//fbb+8qX1aJFCzeA2+2msLDQoup4w3+DBc9KqeYYrcYdgGxgCUa3i5O5zNuB2wHat29/MhclToaUDZDwDQyfAV1GwWVvwGe3wrL7jPfV7fxHDsAnk2DPaoi+BToMKTvf6g2dhoP11B0SiZsyWREbj7evlSbNfY9Odxa7OJzZgS7erelwymojhBBCVO7RNY+GJR5O9KvPMiObRxY8PejplNqkdTqdrFy5MmDy5MlZNaWNj4/3i4uLi7fb7e7IyMie06ZNy4iMjKxwE9FVV10VsXLlymaRkZGFlQXY1WnI0TZGAEla6wMASqnPgEFAoFLKZrY+twNSzfSpQBiwz+zm0QzjEYyl00t55ilDaz0XmAsQHR2t632NxMmjNfz4FPgHw4A7jWlnjTceYvLLTAiKhPPurzzvvk2w+EYoOAiX/wd6X3PSq1vicFFc6MQ/sOKwdlprNn27h/VfJtG6YzPGTOmFX9NjLecHU4/w0dMbcLnqceg7IYQQ4jTjcDgsUVFR3TMyMrw6depUNG7cuNya8gwePDg3KCjIBRAZGVm0a9cun8qC508++WSP0+nk5ptvbj9//vzm995778GKpVWuIYPnvUCMUsoPo9vGBcBGYCVwFfARMBFYaqb/0vz/N3P+T1prrZT6EliklHoZCAU6AxtO5YqIU2DXT0ar8ZgXjbGWSw2dbgTQPz4JTUMhfFDZfIkr4NsHIaA1TP7eeArgSVRc5GTrz/vY/EMKRfklhHRoSpf+IUT2C8GvqTfOEhcrP9jOjg0ZdBkQwrAborB5lb3/wepl3IogwbMQQojGoLYtxPWttM9zXl6eZejQoZ1nzpzZasaMGZk2m027XC4ACgoKypwsvb29jzaOWq1WXVJSUuXJ1Gazcf311x968cUXW58WwbPWer1S6hPgD8AJ/A+jVfhr4COl1DPmtHfNLO8CHyilEoFDGCNsoLX+Uym1GIg3y/k/rbXrlK6MOLlKW52btYd+N5edp5TRZSN7L3x+R+X5O10AV75jPOzkJCkudLJl5T42/7gXR76T9j2CaNOpGYmbMln98U5+XZJIWLfmOAqcZCTlMuDSjvQbE05l/axKg2mnBM9CCCEEAQEB7jlz5uwdP3585EMPPZQZFhbm2LBhg/+wYcMKFi5c2LwuZbndbuLj43169uzpcLvdfP7554GdO3cuqksZDfqQFK3148Dj5SbvppLRMrTWRcD4Ksp5Fni23isoGof4pZC2Gca9ZYxCUZ6XL9zwCSR8W3FsZN9mEHURWE7O6IVaa7b+vI8NXyXhKHAS3iuIc8Z2IKRDUwCix0ZwMPUIOzZksOP3dIrynYy6rSeR/aq+sdd2tOW5oQfDEUIIIRqHQYMGFUZFRRXOnTu3xfTp0zMmTJjQMTY2NnjkyJHZdSlHa81NN93U4ciRIxatterWrVtBbGxscl3KUFqfmV1/o6Oj9caNGxu6GqImLie8GWMEv3euPWlB8PEoKTa6YOz8PYOw7i2IuawjrcKbVpleuzVurbFaqw+KSxwu5t77CwMDPuDsWe/Vd7WFEEKchpRSm7TW0adqeXFxcXt69+5d4w16f1dxcXEte/fuHVHZPHk8t2jc4hbBwZ0wYUGjCpxzswr55u2tHEw9Qsy4jpw9qvIuGJ6URWGl5q4YVpuRxqVtxlMPG9F6CyGEEGc6CZ5F45W1E5Y/Au36Q9TFDV2bo/bGH+T7d/8EDRf/ozfhPYLqtXyL1YJFaZzay+iGIsGzEEII0WhI8Cwap6Ic+PBaY/zlq+ZXP4bzKbcmIKQAACAASURBVLR5xV7WfppIi1B/xkzpRbPgeh328qjCksO4tPmIbi/fmjMIIYQQ4pSQO5JE/cpKNLoanAi3Cz69DQ4nwdXvQ2BYzXlOgQ3LkljzSSId+wZz5YPRJyVwTk9P56qrrmLqu+P5M/1gxRsghRBCCNGgJHgW9Wf71/B6P3jnAkjddPzl/PQM7FxujOkcMajm9CeZ1pr1X+7m92VJRA1szYW39sTLp367UmitiY2NpXv37nz66acAZOQVgtNRr8sRQgghxImR4FnUD6fD6J8cGA65+2HeBbDsn1BwqG7lbPsUfn0Z+k2Ccyazc2MGqz5MYMvKFFK2HyI/28GpHCFGa826pbvZ+M0eug9qw/Abu2Gx1G8XkqSkJEaNGsWkSZPo2bMnX3zxBQBFTsBVXK/LEkIIIcSJkT7Pon6se8voZnHj59C2H6x8Hjb8xxijecSTEH5uzWXkpMAX/wftB8KYF9n68z5WfbQDq82Cy+k+mszb10qTFr41dINWlA5sUT6dxaJo2T6Atl0Cadu5eaWP0AYjcF772S42/7CXHkPacv41XVD1GDi7XC7+/e9/88gjj2CxWHjzzTe54447SE42hpssdCLdNoQQQpyxrFZrv86dOxe6XC4VFhbmWLx4cVLLli3r7UF4N998c9jixYtbFhQU/K8u+SR4FsfN5XIbYxYfyYRVs6HLaOg03Jg5Zib0vR6+ngpf/qP2hTZtC1e/z7Y1maz6aAcRZ7Vk9G09KSoo4XBaPofSCjicnk9BTtUtsp4t05U1UjuLXST+nkH86v0ANGtlJzQyEF9/rzLpcrMK2fW/A/Qa2o7zJnSucSi6uti2bRu33nor69evZ+zYsbz11lu0b98eAF9f4wZBh1MbNwwKIYQQZ6DSx3MDXHHFFRGzZs0KfuGFF9Lro+xVq1b5ZWdnH1ccLMGzOC5bf97Hr0t24uVjpZnXAZo67qBZhzEErE7F6lXaG6gldItFtYynTVA2TZu6qy0TgIjBbPujhF8+NAPn23titVnwb+aDfzMf2kXVzyO23W5NVkoe+3dmk7ojm6QtWTgd5X7MWhR9L2zPwMs71Vvg7HA4eO6553j++edp1qwZCxcu5Nprry1TflahsZ0cLrd02xBCCCGAmJiY/C1bttgB+vfv33X27NkpQ4YMKUhLS7NFR0d3S01N3TpnzpygZcuWBRYWFlr27t3rM2bMmOy33357X/mynE4nDzzwQLvFixcndevWLbCudZHgWdTZzo0ZrPp4B227NKd5QAE5W/aQ6dWX3avzcLtzK8lhAVoQ2jmQrgNa0+nsYHz8vCpJB9tWpfLLooSjLc5W28nplm+xKFqFN6VVeFP6jGh/UpbhKTc3l6+++ornnnuO+Ph4brjhBl555RVatmx5NM3h/GLeWJlI7KodABQ5tXTbEEII0eD2/+uRMMfOnfU6xJRP584Foc89m1KbtE6nk5UrVwZMnjy5xicexsfH+8XFxcXb7XZ3ZGRkz2nTpmVERkaWOZk+//zzrcaOHZsdHh5+XCdZCZ5FnaT8dYgV78XTplMzLr6rF7aFl0C7BLj7D9zeTcnPKcbtKttXwlnsIikui4T16axcsP1od4zmbcoeh0VHStj2SyoRvYKMwNnr9L6fNTc3ly+//JIlS5awfPlyHA4HHTt25JtvvmHMmDFH0xUWu5i/Jom3f95FfrGTwV1aswtwON0y2oYQQogzlsPhsERFRXXPyMjw6tSpU9G4ceMqa6ErY/DgwblBQUEugMjIyKJdu3b5eAbPe/bs8friiy+ar1u3LuF46yXBs6i1zORcvn17K81b+3HRXWdhS/wK9q6Fi18BeyAWIKBF5Q/0CGrbhH5jwslMziNhfTqJGzPY9UdmhXSdzg5m5KQep23gXFhYyLJly1i0aBHffvstDoeDdu3aceedd9L27GH8ltuCuUmKuW+uOZon5VAhWUccjOgWwoOju+JltbDoDhvFTre0PAshhGhwtW0hrm+lfZ7z8vIsQ4cO7Txz5sxWM2bMyLTZbNrlMrpaFhQUlOlX6e3tfbQFz2q16pKSkjLz161b55ecnOwbERHRC6CoqMjSvn37nnv37t1W23pJ8CxqJTujgGWvx+Hr78Uld/fBpzgNvn8MQnrC2RNrVYZSipCIpoRENGXIhC4nucanjtPp5KeffmLRokV89tln5OXl0aZNG6ZMmcLVV19NTEwM89fs4Zmv/6JTsJPQQHuZ/OdENGfSoA7072D0596fXYjV6mX2eZaWZyGEEGe2gIAA95w5c/aOHz8+8qGHHsoMCwtzbNiwwX/YsGEFCxcubF6Xsq655pqca665Jq70fz8/v751CZxBgmdRC/nZRXz16u/okmIu6fk1/vNvg9x9oCwwbilY6veBIacLrTVLly7lwQcfZOfOnTRt2pTx48dz3XXXMXToUKxWK2635vlv/2Le6iTG9GzNKxP64OtV/fbysVmw2rwodrrkhkEhhBACGDRoUGFUVFTh3LlzW0yfPj1jwoQJHWNjY4NHjhyZfarrIsGzqFbB/n0snbWOgiI745o/TvMDeRA+ENrfAx3Oh1ZRDV3FBrFx40amTp3KqlWr6NatGx9//DGXXnrp0WHmAIqdbh74JI6lm/dz08BwHr+kB9ZajBPt42XFavWm2OWSbhtCCCHOWOXHX/7pp58SS9/v2LEjvvT9nDlz9gPcc889B4GDpdNXrlyZSA3qOsYzSPAsqlGw8Su++G82ec4gLh65n5ChS6B5RMWnjpxB9uzZw6OPPsqCBQsIDg7mrbfe4vqbJrE3u4hdhxyA0c1Ca5j57XZ+TczigVFduWto7Ye7O9by7JQbBoUQQohGRoJnUVFRDoVLH2Pp6r7kudpw8aQ2tO0/tqFr1WAOHDjAJ598wkcffcTq1avx9vZm+vTpPPzww+S5vbj4jbUkHyyokM9qUcy66izGR4fVaXk2i8Ji9abY5UQ7izlzf6oIIYQQjY8Ez2cqreGvr2Df7+VnUBi3gqXJd5Cr23LR3X1o2z24QapYlezsbHbs2EGPHj3w9/evVZ6SkhI2b97Mr7/+yubNm2ndujVdunQ5+mrVqhUul4vMzEzS0tLYv38/ycnJLFu2jBUrVuByuejWrRtPPvkkEydOpH379qQcKuDaeb+RU1jC7PG9CfAtezh1aOlPl5CAOq+fUgqrzRunqxhXsVMOUiGEEKIRkfPyacztcrNl5T7ysyte2rd5W/H2teFtt+Jtt+Fttx174MjhZFj/H0jfAlYvjIeYGDQW1hy5m2zacNHdfertiX71QWvN4sWLufvuuzlw4AAWi4WoqCj69etHv3796Nq1Kw6Hg4KCAvLz8ykoKCAzM5O1a9eyfv16CgqM1uHWrVtz8OBBSkqO9Sf28/OjqKgIt7vsUxA7dOjAgw8+yDXXXEOvXr2Odr3Yk5XPdfPWkV/sYtGtMfRq16xe19Xi5U2JqxhncbEcpEIIIUQjIufl05R2a376YDsJ69KxeVvK9kPWGmeJG3TV+WG8+arI6mXhov87i7BGFDjv37+fu+66i6VLlxIdHc2rr75KQkICmzZt4ocffuCDDz6oNJ/FYqFPnz7ceuutDB48mEGDBhEaGorL5WLv3r3s2LGDHTt2sHv3bgICAggNDaVNmzZH/7Zt27ZCX+XEzCNcN28dTrfmw9ti6B7atN7X12rzoaSgEFexq+bEQgghhDhlJHhuYCnxh/jfD8kVnsrn5Wuj/8UdCG5f8bK/1ppVH+8gYV06/S/pwDkXdag0TYnDRXGhk+JCF8Xbvse1bh4UZUOXMXD2TeBbedDXtKW9yoednGpaa+bPn8/UqVNxOBzMmjWL++67D5ut7K67f/9+kpKSsNvt+Pv74+fnh7+/P02aNMHb27tCuVarlQ4dOtChQwdGjRpV6/rsyMjjunnrAfjwthi6tq57twxP+evWkfavR3AXFpaZ3i7/EGluG85i5wmVL4QQQoj6JcFzA0redpBv3t6CX1NvmgaVfXBGRlIOn7ywkQGXdqTPyPZYPIY4W/fFbrb9kkrfke2JHhtRadlKKaPbhiqEldNgy0fQ7hwY+waE9j2Zq1VvUlJSuPXWW/n+++8ZMmQI77zzDp07d640bWhoKKGhoSetLsVON/PXJDHnx5008bGx6LYYIls1OaEynYcPs/+BB1F2O03HjD46vSArA7/EVKPPc4m0PAshhDgzWa3Wfp07dy50uVwqLCzMsXjx4qSWLVue8InxyiuvjFi3bl1AQECAC2D+/PlJ5557bmFN+UpJ8NxA9mzN4tv/bCUotAmX3tsHX3+vMvOLjpTw88Lt/Pb5LpK3HWTEpO4EtPBl47d7+GN5Mj2GtGXgFTUMf5YWB0smweEkGPovGDKtxgeapB5JJTknmT6t+uDn5VendXK73SQlJdGhQwcsluN/vLbWmg8++IB77rmHkpIS3njjDaZMmXJCZZ6ItYlZPPblnyRmHmFk9xCeuLQHbcs9JbCutNakP/EkzuxsOsz9D77duqG15vPEz1n07Tf4KEWJqxhXibvmwoQQQoi/odLHcwNcccUVEbNmzQp+4YUX0uuj7GeeeWbfpEmTDh9PXgmeG0BNgTOAbxMvRt3ek4R16az6aAcfPb2ByLODiV+TRpcBIZx/TZeqA2etYcNc+H4G+LWEiV9BxOBq67Qvbx/vbH2HpYlLcWonNouNvq36cm7ouQwKHUTXFl2xqIrBa0FBAStWrODLL79k2bJlZGRk0KlTJ+666y4mTZpE8+Z1emommZmZ3HHHHXzxxRcMHjyY2NhYOnXqVG71NIcLStC62k7dVSrNpTXoajqGHyly8sqKnXwVt5+wFnbm3xzN8KiQ41pmeblffkne8uUET70f327d2J2zm6d+e4pNGZvo598Oh0o3bhiUlmchhBCCmJiY/C1bttgB+vfv33X27NkpQ4YMKUhLS7NFR0d3S01N3TpnzpygZcuWBRYWFlr27t3rM2bMmOy33357X33XRYLnU2zPliy+nVt94FxKKUXUwDa0iQxkxXvxxK9Jo2OfYC64qRvKoiBnH6x4AvIPlM1YeNhode4yGi57E/yDqlyGZ9BsURau7no1g9sO5veM31mbupbX/niN1/54DbvNjk3ZcDvd5Cfnk5eQR+5fueRsy8Fd7MbX35e+5/flmgHXsOmHTUydOpUZM2Zwww03cNdddxEVFYXNZsNqtR4N+ouKikhPTyctLY309HSSkpJ4/vnnycvLY/bs2dx3331YrWVbynMKS/jHoj9YvTPruD+DuvC2Wbj3gs7cObRTjY/Vrq2S1FTSn34Ge79+NJ14I29ufpN3tr6Dr82XJwY+QT9bR6ZxBU5XsXHjpxBCCNGAfnz/r7BDqUfqdjm6Bi3aNim44KZuKbVJ63Q6WblyZcDkyZNrPPnHx8f7xcXFxdvtdndkZGTPadOmZURGRlZ4XO+TTz7Z9vnnn29z3nnn5b3++uv77HZ7rVvkJHg+hVK2H6p14OypWbCdy6f2JTUhm9AugVisFkj4Dr6YYjy+OaRH2Qw2O4x5EfrfXu3TAGO3xfLaH68dDZpv6XkLIf5Gy+p57c7j/n73syttFx989wGrf1zNni17SNmWQonD2Aebhzanx9geNOnTBEe4gzyVx4/8yL1v3su/Xf/mjTfeYMGCBcybN69s9cwg2uGoOMRedHQ0sbGx9OjRo8K8lEMFTIr9neSD+dxzQWdaNql4I2BtHd0qSlX5EBKlYHBkS8KDajeWdG1ot5v90x8GrQl69knuXfVPfk39lbEdxvLAOQ/Q0t6S9PRd+CqMbhvO42tdF0IIIU53DofDEhUV1T0jI8OrU6dORePGjcutKc/gwYNzg4KCXACRkZFFu3bt8ikfPL/88supYWFhJQ6HQ11//fXhjz76aOvZs2en1bZeEjyfQr8vS6JJoE+dAudSFquFsO4tjGD5+8dg7b8hpBeMj4WWkXWuS+LhRF7941UGtx3MozGPEmwP5sCBA2zeuZm//vqLX3/9lTVr1rBlyxa01lgsFvr27cvFd1xcZsi3UlprDhYd5Nl1z/Lm5jf5+OKPmTdvHi+++CJLlizh0KFDlJSU4HQ6j76aNWtG69atadOmzdG/ISEhlXZH+WPvYW7770ZKXG5mX9uOYu+44+624WXxYljYMAJ9A48r/4k4FPtfCn7/nRZPP8Y9259hU8YmHhv4GOO7HBs20NcvAB8FTmcxThmqTgghRAOrbQtxfSvt85yXl2cZOnRo55kzZ7aaMWNGps1m0y6XcX4sKCgoEzR4e3sfDQ6sVqsuKSmpEFSEh4eXANjtdn3LLbccfOmll+rUJ1OC51MkO7OAtMQcBl7eqc6B87FC9sIntxhPBYyeDKOeA6+6DymntebhLx8m8+NMfsv8jX7p/cjIyMDpPDYsWpMmTYiJieHxxx9n0KBBDBgwgICAqodlU0rR0t6SGTEz2LR0E4+ueZQFYxfQvHlzbr/99grpnS43FqXKjCJSla+3pHH/4s20aurN5efv4enNj+BwVWy1rgs/mx/XRl3LTT1uooXvyR/PuiQ9nSOrVnHglVfwGX4+9/kuZXtmAjPPm8nYjmUffe7r1xQfNBpNoUOCZyGEEGe2gIAA95w5c/aOHz8+8qGHHsoMCwtzbNiwwX/YsGEFCxcurNvNVUBycrJXeHh4idvt5rPPPgvs1q1brUfaAAmeT5mEdekoBV36t6458c4f4JtpUFLusyzKAYsXXPUe9LziuOqxceNGpj45lVVfr8JqtdL9/O6c1eusMg8H6dChA7169aowlnJtBNmDeCTmEab9Mo33tr3HbWfdBhgB+56DBfySkMkvOw7w2+6DOJxuAnxsNPPzopndePnayvYrLna5Wb0zi7MiimnSbiHvbY9jaLuh3B99P028jm+ouAOFB4jdFsv8bfNZtH0RE7pOYGKPibS0tzyu8irjOnKEgg2/k792Lflr11K8ezcA1vAwHhuUyo7s/bwy7BWGhg2tkNfH6oOXxfjhXFgk4zwLIYQQgwYNKoyKiiqcO3dui+nTp2dMmDChY2xsbPDIkSOz61rWhAkTOhw6dMimtVbdu3cveP/995Prkl8d76Xv0110dLTeuHHjKVmWdmven7GWFq39ueSePtUn3rsO3h8HzcOhfUzZeTZfox9zUKfK83ooKSkhMzOT9PR00tPT2b9/PwsXLuSXX37BarcSOTqS5a8uJ7x9+AmsWVmH84t565dd5BWVsKlwDunOjZzn9yw+ui0b9xxm7yHj8dgRQX4M6RJMoN2LnMKSMq9iV9kb5DRumrZaz86SxXhbvXm4/8Nc3PHi6ofoq6Xd2buZt3Ue3yR9g7fFm6nRU7km6prjKstdWEjBH39QsG49+RvWU7TtT3C5UL6++EVH43/uuRzp04k7k54nq+gg/x7+bwa0GVBleVPbh/Nyyl5+mvFPhj398vGuohBCiL8JpdQmrXX0qVpeXFzcnt69e5+au/Mbobi4uJa9e/eOqGyetDyfAqk7DnPkkINzL6/YN1lrTdy+HIqdbuyHt9Phq6vZkh3A2oAbifAfQFhEx7KBYi44D2WyecNaVny9lF9XLif/SF75QinIz6+wrLCwMC6971J2dt3JoisWEd6q/gLntJxCbnx3A3uy8mnh7422XIwO+ZPV2W9gP3Afvdo257bzOjCkS3CtbsArKCng66SvWfTXIrZlJzK03VAeG/gYwX7B9VbnjoEdef6855nSewozN8zk2fXPkpSTxAPnPIDNUrtDQ2tNxrPPcfjjj6GkBGw27L16EXT7bfgPGID97LOxeHsTdyCOe366hxJ3CfMunEfv4N7Vlmuzmi3P0m1DCCGEaFQkeD4Ftv+WjrfdRofeFbsFPLxwFXPnv48tM56gA5vYeaAE40nddwNgsTfFJ7Qr3qFd8WrRjqLkOAp2rMVdkIPy8sXeMRpru4pD0TXzbUJQUDBdO4bRp2sE5/boSIt2Vu5adSMXhY0j1DeKzNyiSuvr72PD36f2u8buA0e48d0N5BSWsODWAcR0NOrz/R4/pv4ylVsvTua2sy6sVVnJucl8tP0jliYuJa8kj6gWUbw45EVGR4yul9bmyoQ3Def14a/z0qaX+CD+A/bm7WXWkFk08a65W8iBl1/h8IIFNLv8cpqOHYPf2Wdj8S/74+C7Pd8x49cZBNuDeWPEG3Rs1rHGckuD5yKHdNsQQgghGhMJnk+y4kInu/7IpEtMa2zex/rzaq157tU3mfWvh3AX5RPazEbH1jYGXXwdEX2GEBLajl0Jf7Ltfxv5c/Mm9qxeAICv3Y+hw0YyfMxlxJx/Ab72isMuutyaxMwj/LH3MP/bm82ipEIWJe3D3v5drL5efLKiN0uW/1hlnS0KzmoXyODIlpwbGUS/8Ob42Cof43hbag4T528A4KPbY+jZttnReRdGXMio5FG8GfcmKXkpZR6yotE4XA4KSwopdBqvIyVHSMxOxKZsjIwYyXVR19E7uPdJC5o9WS1WHjznQSKaRvDc+ue48dsbef2C12nbpG2VeQ69/wEH580j8JoJtH788Qr11FrzztZ3mPO/OfRt1ZfXhr1Gc9/a3ddgsxllFUjLsxBCCNGoSPB8smz7FA4lkZgUgrOkLd1abIa4OLDa2JWSwe1Pvs1P67cSEtGGmya1p1/TQsKHPUFE5ChC/EqHazvWWpudnc327ds566yzsNvtFDgLOFR0iBxHOk53xdbJswPh7C4WoAWH84v5MWkjS1MSGRkyhX49Yiqk95SeU8SaxCze+mUXr69MxNfLwtntmxPVuildWzehc0gAXUIC2Lovh9ve30gzuxcfTO5Px+CKLbWPDHiE9Px01qSuqTDPy+qF3WbHz+aH3WYn0CeQCyMu5KrOV9Vr94y6uLrr1YQFhDH156lc9/V1jO0wtkJQ7Gfzo9OmdMJf+gzX4H4U3XMjWYVZZdK5tZs5f8xh6a6ljO0wlqcGPYWP1afW9bCaD2QpdMhDUoQQQojGRILnk2XLEtjxLQkHnyHQCiHr/oFTa15dV8xjKx1YrDD0mpYcuLAF3yn4VjWBzbNh82zsNjttm7St0O/WpV3kfJ1DdlE2xe7iOlepW4tuzLpwClZLzU/Km3phV/KKSli/+xC/Jmbxx97DLNqQTJHHE+8sCjoFN+H9yf1p08xeaTnNfZuzYOyCOte1IQ0MHciCixbw0KqH+Dzx8zLztNZ03JXPkI9dbG8Lz8RspuSrcVWWdWfvO7mz9511bj0/GjzLOM9CCCFEoyLB80mSPvY9SgYeYf8LWxkwJoQV+i2mPvIUW+MT6DywA5bxPhxu7s+9Xa/k+u43kGvzIjk3mT05e9iTu4f9R/bjpmyro0LRI6gHzX2b09ynOc19mxPoE4iXpXbjRvdp1adWgXOpAF8vRnQPYUR3Y+xwt1uz73AhCRl57MjII7eohClDOtHc//if9NdYdWzWkSWXLDn6v9Yad34+ju3bSXnlTlREMN3feJrXvR0cLDxIobPiEJEdmnXgnNbnHNfyLd7GoVkkj+cWQgghGpUGDZ6VUoHAO0BPQAO3AAnAx0AEsAe4Wmt9WBlNd68BY4EC4Gat9R9mOROBGWaxz2it/3sKV6NSD3y6Bd+EI7Q+nMKMN2ez/PtvCW4XTKd7OuHb1x/H4YG8ft50BneKAMAPaO3futrhyxqaxaJoH+RH+yA/Rnav08N4TgvuoiKKd+/GsXMnjsREHDsTKcnMwHXoMK5Dh9DFRmu/rXVrIt55F682bU5aXWw+xg+iwhJpeRZCCHFmUkr1u/TSSw8tXbo0CYxheFu1atW7T58++StXrkxsqHo1dMvza8B3WuurlFLeGDHkv4AftdYzlVLTgenAQ8AYoLP5GgC8BQxQSrUAHgeiMQLwTUqpL7XWh0/96hxze/9gHn7tBeb/+SU2H18uuHMkaWenEh06mDXrBzO+d++jgbM4NYr37CH7s8/J++lHtKNstxftcuJMzwC32dLr5YVPRAS20Db4do3C2qI5thZBWFu0wP/cc/EKaXVS62o1g2dpeRZCCHGmstvt7oSEBPuRI0dUkyZN9Oeff940JCSkpKHr1WDBs1KqGTAEuBlAa10MFCulLgOGmsn+C/yMETxfBryvjae6rFNKBSql2phpf9BaHzLL/QEYDXx4qtalMg/dOpF129YyYMhlHBztIKPNXka0uZa0pGE0sebzwKiohqzeGcOdn0/ud8vJ/uwzCjdtAosF/5gYrC3LDu+nlMKrbTt8unTGJzIS7/BwlNdxPka9Hnj5GF1hJHgWQghxJhsxYkTOkiVLAidNmnT4ww8/bHHllVceWrt2bROA3Nxcy+TJk9tv377d7nQ61SOPPLL/hhtuyE5ISPC+7rrrOhQWFloAXnvttb0jR47MX7ZsWcBTTz0V2qJFi5KEhAR7r169Cr744oski8VSfSXKaciW5w7AAeA9pVRvYBNwLxCitU4z06QDpf0D2gIpHvn3mdOqmt6grr9gCiMiJ7F35Jck5+/DP2Mcq//oCCTzrzFRBBzJpuRI1fktPt5YAwNPWX3/DrTWlKTup2jbVoq2baNw6zYKt2xBFxbiHRFB8P330+yyy056q3F9sPn6AuCQ4FkIIUQDu+WWW8K2bdtWcWzcE9CzZ8+C+fPnp9SU7sYbbzz0+OOPt5kwYUL2X3/95Td58uSDpcHzv/71rzbDhg3LXbJkyZ6srCxrdHR0t0svvTQ3NDTUuXr16h1+fn5669atPtdee23Hbdu2/QXw119/2Tdv3rw7IiKipF+/flE//PBDk1GjRlUTkVXUkMGzDTgbuFtrvV4p9RpGF42jtNZaKVVvzw9XSt0O3A7Qvn37+iq2Ut2ydtIp8yDXzkwwp3xybOZyqE1HHb+YGALHX0XAyJFYvP9+N+WdCF1cjGP3boq2b8eRsANHwnaK4v/ClW0+4t7LC9+uXQm8/HKaXnwRN4EDLAAAIABJREFU9r59T8l40fXFy88Y1s7hdBtdSer4q1gIIYT4OxgwYEDhvn37fObNm9dixIgROZ7zfv7556bLly8PnDNnTmsAh8OhEhMTvcPDw0smT54cHh8fb7dYLCQnJx8dK7ZXr175nTp1KgHo0aNHwa5du+ocYDVk8LwP2Ke1Xm/+/wlG8JyhlGqjtU4zu2VkmvNTgTCP/O3Maakc6+ZROv3nyhaotZ4LzAWIjo6ut6C8Mut6xlPSPJVO1/+Dlva6j1nszMwk5/PP2T91GtbAQJpdfjmB46/Cp2PNT6f7u3AePkz6E09SsH59hXmu/HzjcdiA8vbGp3Nnmoy4AHvPnvj26IlP1y6n9Q8Ob7sx9J/DpcFVDBbfBq6REEKIM1VtWohPptGjR2c//vjjYd9//31CZmbm0dhVa80nn3yS2Lt3b4dn+vvvvz+0VatWJZ9++mmS2+3Gbrf3K53n4+NzNP6zWq04nc46t6w1WPCstU5XSqUopbpqrROAC4B48zURmGn+XWpm+RL4h1LqI4wbBnPMAHs58JxSqvTRbRcCD5/KdanMnbf/B7d2E2Sv+Ojs2mr5f3eRv/Y3shcv5tAHH3DovfewhYTg26sn9l5nYe/VE9+ePbE2bVqPNW8cCjdvZt8/78eZlUWzSy/B4lM2eLT4++PTtSu+UV3xjohA2Rr63tf65eNvBs9OtxE8e0nwLIQQ4sx05513ZgUGBrr69+9fuGzZsoDS6cOGDct96aWXQmJjY/daLBbWrFljHzRoUGFOTo61Xbt2xVarlddffz3I5arfkasaOuK4G1hojrSxG5gEWIDFSqnJQDJwtZn2G4xh6hIxhqqbBKC1PqSUehr43Uz3VOnNgw2pto9hro6yWGgyeBBNBg/CmZVF7rffUbjl/9m77/Aoq+yB4987fZJJIwklhUDovYMKooCoWEARF1fXde26rrprF91d9beW3XVdxQK2tay69oYFBWyI0nsvgQAhCekhyfS5vz9mQEJCGEImGcL5PE+eMO/7zsxJSDk5c+65q3GtXk3V3MNvr90slMIQH0/aIw8TN25ckz2s1prSV15l7xNPYG7fnk5vvYW9X98me/zjhdlux4AKJc8tvrBYCCGEaDFdunTx3n///XsPPf7YY4/tue666zr27NmzdyAQUJmZme5vv/126x//+Me9F110UZe33347eezYsRV2u71JFxCp4PCKE8/QoUP10qVLWzqMRvNXVOBcuxb3hg0EnK7me+KDvl6qfvgB17p1tLvvPtr85rJjfmh/eTl77p1G1bffEjf+DDo8/HCrrKqH45O/3cTUB17ktL5n89UPMyE+raVDEkII0YKUUsu01kOb6/lWrVq1Y8CAAcXN9XzRZtWqVSkDBgzoVN+5lq48i0YyJiTgGDkSx8iRLRZD8rXXkHf7HRT+7W949+yh7R23oxqxsC3gdFL2v7cpefll/JWVtJt2L0mXX35cLfBramabDYvBhMfnD7ZtCCGEECIqSPIsGs1gt5Px9HQKH36E0v/8B19BPh0efRSD1XrkOxPc0a/s7bcpeell/MXFxJ5yMqm33Y69b58IRx79zDExmA1GPH6/tG0IIYQQUUSSZ3FMlNFIuz/fjzk9jb3/fBxvfgGxo45cDdcuF+Uff4y/qJiYk08i9cl/EzO02V6NinoWewwWgxGvz4f2ujhxa/BCCCFEdJHkWRwzpRTJV1+NuUMH8u//M84VK8K6X8yIEaQ+8QQxw4ZFOMLjjyUmNpg8+z34PR75RhVCCNHcAoFAQBkMhhNucVwgEFDAYRcZyu9k0WTizzmHuAkTai0qbEhj+qNPFGZ7LBaDIZg8uyV5FkII0ezWFhUV9U5NTa04kRLoQCCgioqKEoC1h7tGfieLJqWUghN4oV9TMdtjsSgjPr8Xn9tDeF3kQgghRNPw+XzXFBQUvFRQUNCX4BjhE0UAWOvz+a453AVHTJ6VUoPrOVwB5GqtfccQnBDiMCz2WKwGA5V+D36PLBgUQgjRvIYMGbIXmNjScUSjcCrPzwGDgdWAAvoC64AEpdSNWuuvIxifECckiz0Wi1J4/V78bkmehRBCiGgRThl+DzBIaz1Uaz0EGERwN8DxwD8iGZwQJyprTDxWg8Lr9+CTyrMQQggRNcJJnrtrrdftv6G1Xg/01FrnRC4sIU5s1hgHFhQ+nwe/x9/S4QghhBAiJJy2jXVKqRnA26HbU4H1SikrICUxISLAFhOPVSm8frdUnoUQQogoEk7l+XfAVuCPobec0DEvMCZSgQlxIrPZ47Aq8Pk9+L1SeRZCCCGixRErz1prJ/Cv0Nuhqpo8IiEEJnsMVkVokxRJnoUQQohoEc6oupHAA0DWwddrrbMjF5YQJzZlNGIJJc8+qTwLIYQQUSOcnueXgT8BywD5LS5EMzEZIRDw43bLOHUhhBAiWoSTPFdorb+MeCRCiFrMoRUJTqe7ZQMRQgghxAHhJM/fKqX+CXwIHPgtrrVeHrGohBCYjcH3TqenZQMRQgghxAHhJM8jQu+HHnRMA2ObPhwhxH4mkwagxiWj6oQQQohoEc60DRlHJ0QLMJqCfRvStiGEEEJEj8Mmz0qp32it31BK3Vbfea31E5ELSwhhDPVtVEvlWQghhIgaDVWeY0Pv45ojECFEbSZz8NvT6ZbkWQghhIgWh02etdbPh94/2HzhCCH2M1lCybNLRtUJIYQQ0aKhto3pDd1Ra31L04cjhNjPZLEA4JQ5z0IIIUTUMDRwblnozQYMBraE3gYClsiHJsSJzWgLfpu5PNK2IYQQQkSLhto2XgNQSt0IjNJa+0K3ZwLzmyc8IU5c5lDl2SXbcwshhBBRo6HK835JQPxBtx2hY0KICDLbrQC4PdK2IYQQQkSLcDZJeQxYoZT6FlDAaOCBSAYlhACL3Q6AyyeVZyGEECJahLNJyitKqS/5ZafBu7XWBZENSwhh3Z88S9uGEEIIETUamrYx+JBDu0Lv05RSaVrr5ZELSwhhjQ2OWndL8iyEEEJEjYYqz/9q4JwGxjZxLEKIg9gdoeTZJz3PQgghRLRoaNrGmOYMRAhRmy2UPHuk8iyEEEJEjSP2PCulzMCNBBcKAnwHPK+1luGzQkSQ1R6L2WDE45fkWQghhIgW4UzbmAGYgedCty8PHbsmUkEJIcASE4vFYMIjbRtCCCFE1AgneR6mtR5w0O1vlFKrIhWQECLIGhusPHv9frTWKKVaOiQhhBDihBfOJil+pVSX/TeUUtmAvI4sRITZYh1YDEZ8fi8Bv27pcIQQQghBeJXnO4FvlVI5BDdJyQKujGhUQghsMcHk2ev34Pf4MZrC+VtXCCGEEJEUziYp85RS3YAeoUObtNbuyIYlhLDaY7EYDPj8HnxuF5YYc0uHJIQQQpzwGtokZfJhTnVVSqG1/rApAlBKGYGlQJ7W+jylVGfgbSAZWAZcrrX2KKWswOvAEKAEmKq13hF6jHuBqwm2k9yitf6qKWIToiVZY+KxKCNenxefyw3EtXRIQgghxAmvocrz+Yf8e9ZBtzXQJMkzcCuwAYgP3f478G+t9dtKqZkEk+IZofdlWuuuSqlLQtdNVUr1Bi4B+gBpwFylVHettfRli+Oaxe7AalBU+z343Z6WDkcIIYQQNLxJyoG+ZqXUioNvNxWlVAZwLvAwcJsKjhMYC1wauuQ14AGCyfOk0L8B3geeCV0/CXg71EqyXSm1FRgO/NzU8QrRnGwx8ViVgQq/B79LOqWEEEKIaBDuCqRILfV/ErgLCIRuJwPlWuv9g213A+mhf6cDuwBC5ytC1x84Xs99hDhume0xWJTC6/fgk8qzEEIIERVabPm+Uuo8YK/WelkzPud1SqmlSqmlRUVFzfW0QjSKwWbHohQ+vwe/R5JnIYQQIho0tGBwFr9UnLOVUp8efF5rPfEYn3skMFEpdQ5gI9jz/BSQqJQyharLGUBe6Po8IBPYrZQyAQkEFw7uP77fwfepRWv9AvACwNChQ2VwrohqBqsFq1J4fR58bm9LhyOEEEIIGl4w+PhB//5XUz+x1vpe4F4ApdTpwB1a68uUUu8BUwhO3LgC+CR0l09Dt38Onf9Ga61DSf1bSqknCC4Y7AYsbup4hWhuymzGogjNeZbkWQghhIgGDSXP64FUrfX6gw+GpltEsufhbuBtpdTfgBXAy6HjLwP/DS0ILCU4YQOt9Tql1LuheH3ATTJpQ7QWZgP4/F78bt+RLxZCCCFExDWUPD8NPFfP8WTgfn6ZiHHMtNbfAd+F/p1DcFrGode4gIsPc/+HCU7sEKJVsRgJbpLileRZCCGEiAYNLRjsqrX+4dCDWuv5QP/IhSSE2M9sIDRtQ9o2hBBCiGjQUPLc0HZmsk+wEM3AbFQAOJ2uFo5ECCGEENBw8rw1NAmjFqXUBCAnciEJIfYzhhqrnNWSPAshhBDRoKGe5z8CnyulfgXsn8U8FDgZOC/SgQkhwGwKVp6rnc4WjkS0RgF/AIOxxcb9CyHEcemwPzW11luAfsD3QKfQ2/dAf6315uYITogTnclkBMBVI9tzi6azr9TFx08s5/X7fkYHZOS9EEIcjYYqz2it3cArzRSLEOIQRnPwW7TGKcmzaBpblhby3Zub8DiDE1w8bj9We4O/CoQQQhykoR0G9/HLDoO1TgFaax0fsaiEEACYrBZAkucTSfHufSz6JIdep6SRPSi1yR7X4/Txw9ub2bSogHad40nvkcTy2bl4nD5JnoUQ4igc9iem1rqhaRtCiGZgsoSSZ5ckz62d1prV3+zmp4+2ov2aHWtKGHpOJ4ad1xmDQR3TY+/eWMo3/91IVamLYed2Yug5nchZWQxwoAIthBAiPA1VnocBKVrrLw85PgHYq7VeVv89hRBNZX/l2en2tHAkIpJqKj3Me20DO9eV0Kl/Cqf9ugeLZ+Ww9IsdFO3cx/iremONOfoJoSV5Vfz04TZ2rishPsXGhXcMoUOXBAAs9mA/vVuSZyGEOCoNvVb3d+DKeo6vJ9gHPTYiEQkhDjBbbYAkz62Fc5+HgL92N1zRzn1888ZGPDU+Rl/Snb6npaOUYszlPWnbKZ7572zmvUeXMuHGfiSnOcJ6nn2lLhZ/msPGRQVY7SZOntyF/qdnYLIYD1xjtQeTcak8i6bgXLOG4udm4N2zp865xIsuos1vL2+BqISIjIaS5zitde6hB7XWuUqplAjGJIQIsdqDyXON7DB4XHM7fXz/1ia2LCms93ybtFgm3TqQ5PRfkmOlFH1Hp5OcFsuXL6zl/b8vI71bYnDVSQN0QJO3qRyNZuC4TIZM6IQttm7Ven/lWZJncSzc27ZR9ORT7JszB2NSEvbBg2t9jTqXLmPfvHmSPItWpaHkOamBczFNHYgQoi6LPfit5vZI8hytlny+nZyVRQwcl0m3Ye3qzE3O31rOnP+sp6rczaDxHUloa6913mQ20GVw21pV4YN16JrIr+4dxvx3NrOvNLzNcroPb8fQczsRn2w/7DWW0CJBSZ5FY3h251E84zkqPvoYg91Oys1/oM0Vv8PoiK113c6rr8Ffta+FohQiMhpKnucqpR4G7tdaawCllAIeBL5pjuCEONFZYoLJj0uS56hUuqeapZ/vwGgxMPfVDSz+fAdDzs6ix4j2KAVLvtjBsi92EJdsY/Idg2mfndCo53EkWZlwQ78mjX3/hA3peW79tNeLa9Nm0IFG3t+HZ/t23Js3496yBdeWzfiLilEWC20uv5zk66/D1KZNvfdVdhu6qOhYwhci6jSUPN8OvERwm+6VoWMDgKXAtZEOTAgBtthgFcftleQ52mitmf/uZsw2I5c+cBIFORUs/WIH3/53I0s+347dYaFo5z56nNSe0VO7H6j0Rguj2YDBqKTy3Mr5q6rYdcMNOJce+xp/ZbVi7dIFx8hRWLt3J/7sszCnpTV4H4PNTsAV3ismQhwvGhpVVw38WimVDfQJHV6ntc5plsiEEMQ6gj2wHq8kONEmZ2URuzeWcerUbsTEW8gemErnASnsXF/K0s93UFHs5Myr+9BtWLuWDrVeSiksdhNup7+lQxER4i8vZ+e11+HasIF206Zh7pjZqMdRBgPmzEwsHTuijPW3Fx2OwW5DO52Nel4holU4pZAXtdbjDj6glJp36DEhRNOzOYLj1iV5ji5ej58F720lOT2WvqPTDxxXSpHVJ5msPsktGF34LHaTVJ5bKV9JCTuvuhpPTg4Z06cTN3ZMi8ShpPIsWqGG5jzbgFggRSmVxC/rZ+OB9MPdTwjRdGLjght5en2S4ESTFV/lsq/UxQW3DaqzQPB4YpXkuVXyFhay88qr8O7ZQ8bMGThGjmyxWAw2G1qSZ9HKNFR5vh74I5AGLOOX5LkSeCbCcQkhgNi4BIzKgMcnL61Hi8piJ8u/3knXoW1J797QUKLoZ7EbJXluZTy789h55ZX4S0ro+OILxAwb1qLxKJsV7fWifT6UKbr6/oVorIZ6np8CnlJK3ay1froZYxJChNhjYrEYjPj8kuA0J5/Xz8KPcnDXeMnql0LH3m0OLPhb8P5WlIKRF3Vt4SiPncVmoqJI+lFbC9f69ey6/gYCbjcdX30Fe//+LR0SBltwYlDA5cbokORZtA5H/ErWWj+tlDoF6HTw9Vrr1yMYlxACiHHEYTaY8Pq8BPyB47pF4HjhqvbyxYzV5G+twBpjYuPCAgxGRVq3RFIyHOSsLGLEpGwcSbaWDvWYSdtG61E1/0fybr0VQ0ICWS+/hK1795YOCQiOqgPQLiccMgNaiOPVEZNnpdR/gS7ASmD/a8cakORZiAiLcSSEKs8efN4AFkmeI2pfqYvPnllF+d4azrymD10GpVKQU8mONcXsWF3M7o1lJKTaGXhG46YWRBtLjCTPrUH5+++T/9cHsHbvTubMmZjbtW3pkA74pfIsfc+i9QjnNZShQO/9G6UIIZpPTKwDi8GA1+/F7w3A8V/sjFoleVXMenoVXpeP828eSEaPYD9zWrdE0rolcsrkrlQWOzFZjJjMRzeuK1pZ7CY8bj86oFGGI+z7LaKO1prip5+h+LnniB05kvSnnqqzw19LM+yvPMu4OtGKhJM8rwXaA/kRjkUIcQhbbHwoeQ5WnkVk7NlSxhcz1mA0G7jwjsGkZMTVe118yuG3uz4eWe0m0OBx+w/sONgStM9H9aJF+MvLiT3lFExJx/dCzKbmWr+e4pnP483Lq3U84HLh2baNhMmT6fDgAyizuYUiPDxlCybPAZe7hSMRoumE89MyBVivlFoMHPjq11pPjFhUQgggOObJqoJtG35Jnpuc1po13+1mwftbiU+xc/4tA4hPbl0JckP2L4J013iPOXnWgQD7Zs/G2qsX1s6dj3y9z0fNkiVUfjmbfV9/jb+8PHhCKez9++M4/TRiR4/G1rs3Sp2YVXH39u0UTZ/Ovi9nY0hIwD5wAIran4vEi6fQ5oorovZzZLAd1PMsRCsRzk/LByIdhBCifgarFYtB4fZ58PskeW5K7hov3/x3IzkriujUL5lxv+uNLTb6KneRZLEFfwV4jnGXQV9pKXvuvofq+fNRZjPJN1xP8rXXYrBY6lzrLdxL6SuvUDFrFv6SElRMDHFjxhA/4WxMqalU/TCfqh9+oOip6RQ9NR1jagqOU0YSO2oUsaecjCn5+NiApj7+ioqwen8DVVWUvPIKFR99jLJaSb7xBpKvvBJjfHwzRNm0fqk8S8+zaD3CmbbxvVIqC+imtZ6rlIoBWkfDnxBRTlmtWJSi2u/B55HkuakU7qjk65fWUlXq5pSLujLwjMyordxF0v5q87EsGqxetJg9d9yBv6KCtvfcjWvNWoqffobKz7+gw0MPEjN0KADevDyKX3qJivc/QAcCxJ1xBvHnnINj9KkY7L9U++0DBpB68x/wFRcHE+n5P1D13XdUfPIJALbevbEPGYLBZq0diDJgTEzElNwGY5tkTMltMKWmYkpNbfTH1pQqPvmEPdPuA394f6gos5mkyy4l5frrj+s/GPb/3wak51m0IuFM27gWuA5oQ3DqRjowE5DtuYWIMGWzYVXBnme/bJRyVLTW5K4pweuu/XmrKKphyec7iIm3cOEdg2mfndBCEbY8yzEkz9rvp3jGTIqfew5LVhaZL76ArWdPABImTaTggQfJ/c3lJF48Be0PUPHpp6AUiZMnk3ztNVgyMhp8fFNKComTLyRx8oVovx/X+vVUL1hA9Y8LKH///TpJqA4EoJ6dONv87ne0vetOlKHlJtU4V68m/89/wT5oIAkTj9zxqAwGYk85BXNaWjNEF1m/tG1I5Vm0HuG0bdwEDAcWAWittyilomcOjhCtmDKbsSrw+b2yYPAo7VxXyufPra733InapnEoiz34IqL7KJPngNvNrutvoGbhQhImTaL9X/6MIfaXKQ+O0aPJ/mwWRc88S+lrr6FMJpJ+/WuSr74Kc/v2Rx2nMhqx9+uHvV8/Um64od5rtNYEqqvxl5TgKynFX1pC1fffU/rqq/hKS0h7+OEWWVDnKypi9823YEpNJePpp0+4xZDqQOVZkmfReoSTPLu11p79L2kqpUwE5zwLISJMKYXZoPB6ZcHg0dq+uhiz1chFdw/BcNAYNoNREZ9iPyHbNA7V2MpzxYcfUrNwIe0feICkS6bWe40hJoZ2d91Jm99ejrJYMLVpc8zxNkQphdHhwOhwYMnKAsAxbhzm9AyKnnwSf1k5GU89iSEmJqJxHCzg8bD7llvxV1bS6X9vnXCJMxxUeXZL8ixaj3CS5++VUtMAu1JqPPB7YFZkwxJC7Gc2qOAmKR5p2whXsGWjmMzebUhOc7R0OFHrQM+zK/zkWXu9FL/4IvZBg0ic+qsjXt+YSnNTUUqRcsP1GJPbUPDXB8i98koyZ85sliRWa03h//0N54oVpP/7iQMtLSeaAwsGpfIsWpFwkud7gKuBNcD1wBfAS5EMSgjxC4uBYM+z29vSoRw3SvKqqCpzM/z843ehVXMwmg0YjOqoKs8Vn87CtyefDg88cNxU75MuvhhTUhJ5t91O7mW/IemSS6CRsWuvl0B1NYGqKgI11QSqq0EZsHbrhrVHd2w9emDq0IHyt9+m/L33SL7uOuInTGjij+j4oSwWUIqAjKoTrUg40zYCwIuhNyFEMzMbwevz4PNI8hyuHatLAMjqm9LCkUQ3pRTWGBPuMEfVab+f4heex9a7N7Gnnhrh6JpW3BlnkPnSi+y++RYKH3nkmB9PxcRgjI3FEBuL9nio/PzzA+cMcXEEnE5iTxtN6q23HPNzHc+UUii7HS2VZ9GKhDNtYw11e5wrgKXA37TWJZEITAgRZDYG2zb8kjyHbceaYtp2iicmvu6cYVGbxWaqVXkOOJ21RscdrPLL2Xhzd9L26enHTdX5YLHDh9Nt/g/BanEjKbMZQ0xMnekd/qoq3Ju34N68CdemTeDz0fbOO1FGmexqsNmk8ixalXDaNr4E/MBboduXADFAAfAqcH5EIhNCAMHKc0AHcMuc1LDUVHoo3FHJ8POOvMudCC4a3J88V8yaxZ57p5H26KMknH9eret0IEDJ8zOxdutK3Ljjd1KpwWKpd/OWY2V0OIgZPIiYwYOa/LGPdwabDS3bc4tWJJzk+Qyt9eCDbq9RSi3XWg9WSv0mUoEJIYJMpmCFr6aq8dWyE0nu2hLQ0KmftGyEw2I34a7xobWm5D+vgM/HnrvvhoCfhEmTDly3b9483Fu2kvb44y06M1kcf5TdLjsMilYlnJ+ARqXU8P03lFLD+GWHwcZvSyWECIvFFPx2c1ZL5TkcuWuKiU2wkJIpUzbCYbWb8Lh8uFatwr1hA23vvpuY4cPZc8+9lH/4ERCcHFEy83ksWVnETzi7hSMWxxuD1YqWV85EKxJO5fka4D9KKQeggErgGqVULPBoJIMTQoDJHEyea6prWjiS6Of3Bdi5vpRuw9sdlz25LcFiN+Jx+ij734cYYmNJvPhiki6Zyu6b/kD+ffeBDmBq2xbXunV0ePhh6eEVR00qz6K1OWLlWWu9RGvdDxgIDNBa9wdytdbVWut3G/vESqlMpdS3Sqn1Sql1SqlbQ8fbKKXmKKW2hN4nhY4rpdR0pdRWpdRqpdTggx7ritD1W5RSVzQ2JiGikSm0K1q1U9o2jmTPlnK8br+0bByFYNuGl8ovZ5MwaSJGRywGu52M554lduRI8u+7n/z7/4wprQMJE2WJizh6smBQtDZH07imgClKqXnAiiZ4bh9wu9a6N3AScJNSqjfBudLztNbdgHmh2wATgG6ht+uAGRBMtoG/AiMIbiP+1/0JtxCtgdkSTJ6rpPJ8RDvWFGM0G8joKT8CwmWxm/C6AwQ8XhIvueTAcYPNRsazzxB72mh8hYUkX3NNi2xvLY5/ym6TUXWiVWmwbUMpZQcmAZcCg4A44ALgh2N9Yq11PpAf+vc+pdQGID30fKeHLnsN+A64O3T8da21BhYqpRKVUh1C187RWpeGYp4DnA3871hjFCIaWKzByQBVNVK5aYjWmh2ri8nokYTZIq0F4bLYgp8ry9CTsXXvXuucwWol4+mnqf7pJxzH2VxnET0MNjsB2Z5btCKHrTwrpd4CNgPjgaeBTkCZ1vq70MYpTUYp1Ylgcr4IaBdKrCE4Dq9d6N/pwK6D7rY7dOxwx4VoFUxWKwBOedmzQeWFNVQWu+jUT3YVPCq7dwBgn3RRvacNFgtxp58uvc6i0ZTNKpVn0ao01LbRGygDNgAbtNZ+6m6WcsxCCxE/AP6ota48+Fyoytxkz6mUuk4ptVQptbSoqKipHlaIiLLa9ifPnhaOJLod2FVQ+p2PimfRj0Cw8ixEJBhssmBQtC6HbdvQWg9USvUEfg3MVUoVA3FKqXZa68KmeHKllJlg4vym1vrD0OFCpVQHrXV+qC1jb+h4HpB50N0zQsfy+KXNY//x7w7zMb0AvAAwdOjQJv9DQIhIsIQDZJKNAAAgAElEQVR2e3O5ZZOBhuxYU0xyuoO4NraWDuW44c3Lw7d6GfQ/Ga9PppOIyDDYbVEzqs5d46W6PLxCREyCBVus9PmLuhrsedZabyS4GO+vSqkhBHuflyildmutTzmWJ1bBOVIvE6xqP3HQqU+BK4DHQu8/Oej4H5RSbxNcHFgRSrC/Ah45aJHgmcC9xxKbENHEFhOcV+yW5PmwXNVe8rdVMPjMji0dynGl7N33MPmCSc3BW3QL0ZSUzYb2etE+H8oUzoTcyNi1vpTZL6zB4/KHdb3BpOg6uC19T8ugfXa8jL8UB4T9Vay1XgYsU0rdATTFypGRwOUEdyxcGTo2jWDS/K5S6mogF/hV6NwXwDnAVqAGuDIUV6lS6v+AJaHrHtq/eFCI1sAeEwuA2+1t4UiiV86KInRA06m/tGyES3s8lL//PvFDRoIGtyTPIkIMtuCrZwGXG6OjZZLn9Qv28P2bm0jqEMOQszsF54cdQf62Cjb9nM/mxYWkZDroOzqd7sPbY7ZK//+J7rBfxUqpp2m43/iYJm5orX/k8F++4+q5XgM3Heax/gP851jiESJa2R1xAHg80vNcH5/Xz5LPt9M2K452neNbOpxm46+qpvjp6bi3bmvU/QNVVfhLSki58Fz40CeVZxExyh5spdJuFzhim/W5tdYsnrWdpV/sILNXEmdf1w+LPbwEvtvQdpw0KZstSwpZ810e3725iZ8/2saAcZn0H5OBNUZaOk5UDX0FLQ29H0lw8eA7odsXA+sjGZQQ4hf2uEQAvF5Jbuqz9vs8qsrcjLui1wnzsqpz7Trybr8N767d2Pr2bfTHHX/eeSSedjJ8OF8qzyJiDNZg8hxo5okbfm+Ab/67gc2LC+k1sgOnXdoDo/FotrcAi81En1PT6T0qjfxtFaz4eieLZ21n5Zyd9BuTwYBxmdgdlgh9BCJaNbRg8DUApdSNwCittS90eyYwv3nCE0I4EkLJs0+Sm0O5nT6WfZlLZq8kMnq2aelwIk4HApS++hp7//1vjG3a4HjqSXbGxLB27VrWrFnD2rVrWbt2LWazmZEjRzJq1ChGjRrFwIEDMZlMVFZWsm7dugPXxtus/M1qxmBSUnkWEWPYX3lupnGbfm+AHWuLWfH1Tgq3VzJiUjZDzs46pj+ulVKkdU0krWsixbv3sfSLHSybncuqb3bTd3Q6Q87OksWFJ5BwXrtIAuKB/X3EjtAxIUQziE8Izi32SfJcx8o5O3FVeznpgi4tHUqj6cDhx+ZrrcnLy2PVqlWsXLiQde9/wK7duym0WtiTs42aM888cG1cXBx9+/Zl8uTJOJ1OfvzxRz744AMAYmNjSU5OZufOnQeuV0qhtWbatGlY7SZJnkXEqP09zxGsPGutKdxRyaaFBWxZWoi72oc93sL4q3vTfVj7Jn2ulIw4zr6uH6V7qln65Q7Wz89j8FmyWPlEEk7y/BiwQin1LcEe5dHAA5EMSgjxC0ebFBRSeT5UTaWHlfN20XVIW9pmHX+9zt78fIqff56KDz9Ch/rZA1qz0unk2+oq1rlcbHS7Kff/MhkgxWSiY1YWAwYO5PyOHcnMzKR79+7069ePzMzMOpW13bt3s2DBAubPn09ZWRl9+/alb9++9OvXj7lz53LttddSVFSExSbJs4icSFaePU4fGxfms/b7PMoKajCaDWQPSKHHSR3I7JWE4SjbNI5Gm7RYzry6D+4ar/Q/n2COmDxrrV9RSn1JcDwcwN1a64LIhiWE2M/hSMRiMOHzewn4AxH9ZXA8WfrFDvzeACMmZrd0KEfFW7iXkhdeoPzdd9GA47xzWe50MmvFCj5ftYqCigosJhN90tM5Pz2d3unp9M3IoG9mJh0mTsTaJfwqe0ZGBlOnTmXq1Kl1zrVt2xYgmDzbTbid4Y3vEuJoKVuo57kJN0opL6xhzXe72fBzPl6Xn3ad4xlzeU+6DG6LNcwFgU1FEucTzxG/wkLzmM8AsrXWDymlOiqlhmutF0c+PCGE3eHAbDDi9Xvx+zSG42xKUlWZG3ucGaOp6ZL+iiIn6+bn0WtkBxLbxTTZ4zYVX2kp++bOhUNaMtxbt5H39tusqa5ic+ds1lnM/PzyyxQVFWGz2TjnnHOYMmUK5557LvHxka2mp6amAlBcXIzF3k4qzyJiDPb9o+qOLnnes7WcTT/nEwjUHvxVXe5m18YyDAZF1yFt6T8m84SatCNaXjh/nj0HBICxwEPAPoK7Ag6LYFxCiBBLjB2LwYjX58HvDRw3M0ary90smpXDxp/yaZ+dwLk39W+yCs3iWTkog2L4uZ2b5PGakq+oiNzLf4tnxw4Ayv1+ltbUsLCmmqVOJ1s9HgJaw44ddO3albPOOouJEycyYcIEHA5Hs8W5P3kuKioiJSad8sKaZntucfzSWjMndw5Pr3ia8Vnj+cOgP2BQDf9hrKzW4H3DTJ5d1V5+/mgb63/cg8VuwmKv/TPPZDYy9JxO9B2dTmyCtXEfiBDHIJzkeYTWerBSagWA1rpMKSVzWYRoJpYYGxaDAZ/fg897+MVl0cLj8rFyzk5WzNlJwK/pNqwdW5ft5eN/r+D8mwcSEx/+j4+CnAp2byyrdczvC7B5SSGDz+xIbGJ0/eL0lZay+be/ZeHWrawePowf1q1j5Zo1aK2JjYlh5KhRXHrqqYwYMYJhw4aRnJzcYrEenDynpUjP8/Fob24lBTkVdY63z06IyDqAvKo8Hl74MPPz5pNqT+XFNS+SW5nLw6MexmayHfZ+ByrPR9iiW2vNlqWF/PjuFlzVPgaN78iw8zofNwUDceIIJ3n2KqWMhDZMUUqlEqxECyGagcFmC1ae/R583qbrS9VahzW6yev2s2NNMQHfkb/ta/Z5WTlnJzWVHroMbsvJF2aTkBpDjxHt+XLmGj58fBkTbx1IfLK94cep9PDzh1vZuLD+5RUJqXYGnZl1xHgaq7CwkPvuu49169bh8XjweDx4vV48Hg9JSUn07duX/v37069fP/r164ff7+ez99/ng7//nZ/27qUmEMCyaycnn3wyDz74IGPHjmXYsGFYLC1Td9BaU+IqYXvFdrZXbCenIodtZdswmAzs3bsXa4YJd40kz8eTTYsK+Oa1DXVaGgBMZgOXPngScW0On9AeDW/Ay3/X/5cZK2eglOLOoXdyaa9LeWP9Gzyx7AkKagqYPmY6yfb6/xg02PYvGKy/8uyq8lKYW8mqebvYtb6Utp3iOf+WHqRmxjVJ/EI0tXCS5+nAR0BbpdTDwBTgzxGNSghxgMFqxaoMeP3Bto1jVVZQzebFhWxeXEDArxl7eS8ye9c/I7m8sIYvn19D6Z7qsB+/fXYCE27oR/vshAPHOvZJZuKtA/ns2dV89PhyJt46kKT2dXcaC/gDrPkuj8WzcvB5Aww+K4vBZ2dhstR+WdigFMrQ9BuiaK155ZVXuOOOO6iurmb06NFYrVYsFgtmsxmz2UxRURFff/01r7/+ep37dzCbuXTiRCZdfTVjxowhNrZxu6ltKNlAmbuszvFUeyqZcZkNVvn2C+gA64rXMXfnXObtnEduZe6Bc3aTnQRrAgaHgdz8XCx2I163n0BAY4jA51U0rVXzdvHje1tI757IGVf2xmT+pTJbXeHmvUeXsvDjbYy/qg8AP+b9yEtrXiKgG/fzY2/NXvKq8hibOZZ7R9xL+9jg6Lff9f0dGXEZ3Dv/Xi774jKeHfcsXRLrLmhV9tqj6qor3GxeVMje3Er25lZSWRw8brYZOXVqd/qeli5fhyKqhTNt402l1DKCW2Yr4AKt9YaIRyaEAIL9ghaDwuf34A+j+lsfV7WXTQsL2Ly4gL25+1AKMnomUVXm5tPpKxk4viMnTcqutagvZ2UR815dj8FoYMIN/UhOP3IiqJQiLtlWb0W7Q9dELrx9EJ8+tZIPH1/OkLOzak0O0QHNhp/2UJJXTWbvNpz6q271JthHo6C8AL/yYzL98qPObDTTxlb3j4WtW7dy/fXX880333Dqqafywgsv0LNnz1rXBKqr8ZWUAFBcWsrajRtZu349ZZ/OYnh1Nae/+AJxp5/e6Hi11sxYNYMZq2Y0eF27mHZkxWfRMb4jSdYkrEYrVqMVi9GCxWhhS9kW5u2cR2FNISZlYniH4fyq+6/omtiVzgmdaRfbjg2lGxgaNzSUPAc/Px6nTzZ6iGJaaxZ+vI3lX+0ke1Aq46+qnTgD2BxmBp6RybLZufQ7PQPaObnr+7uIs8SRGZ/ZqOftlNCJu4bdxdiOY+ucOyPrDNrFtOPmb27m8i8uZ2LXiShqf/+PyTidOKUIuJwE/AFmTV9JSV41cck22mbF0+fUdNp2iqdtVhwWW/NOyhCiMcKZtvFfrfXlwMZ6jgkhIkxZrViUgX1+b6N6nqvKXHz4+HL2lbhI7RjHyCld6TasHbEJVrwePwve38rKOTvJ21TGmVf3IT7VzuJPc1g2O5e2WXGcdV3fI7ZZhCslI47Jdwxh1tMrWfD+1jrnHW2sTLi+H50HphzzVtsf/fARk8dMhgAYbAaMsUaMMUaMsUa6te9Grw69cDgcOBwOvF4vL730EhaLhZkzZ3LttddiMAQTe++ePez79luqvv2OmkWL0F7vgefIDL1hNJIx47ljSpz9AT+PLn6Udza9w6Quk7io+0W1zgd0gL01e8mtzGVn5U5y9+UyN3cuFe4KNLVfurdiYGTaKdw6+FZGZ4wmwZrAoboldsMUZyK/MF+S5+NAwB/g2zc3sfGnfPqcmsboX/c4bHV28NlZbPgpn/nvbmb2wJn4tZ+XznwprOTZ4/IddQLbL7Ufb537Fnd+fyefbP2k1rkaXw1byrZwh92OdrlZvyCfkrxqzrymD92Gtjuq5xEiWoTzHdLn4Buh/uchkQlHCHEoZTBgUSrYtuE5uuS5ptLDJ0+uxFXt5cI7BpPWNbHWebPFyOmX9qBjrzZ888YG3nl4McnpDgq3V9J7VBqnTu1Wp7J1rBLbxXDpgyfVu0DNajc12Rzr5//7PGi46PcX4axyUl1ZTVVFFXlFeWzK2URpbikep4eqqiqcTicXXHAB06dPJy0tjUBNDcVvvEnl55/j3rQJAGPHDNadnoWrc3vOzT6Pg3N7S9eu2Pv0OUwkR+b1e5n24zRm75jNlX2u5E9D/hT2Hw9aa3zah8dViXvWH3Bv/ooEDTH5n0P8QOhUf/XeYrSQlJxEaU7pgbm4Hpf0PUcjvzfA7BfXsmN1McPO7cSw8zo3+PVhsZk46YIufPP6BspMfu6edPcRE2etNYs+zWH57FzG/rYXPU/ucFQxpjnSePPcN+sc//3c31PiKsFgteKq8bLokxzSuiXSdUjbo3p8IaLJYZNnpdS9wDTArpSqhAOvw3iAF5ohNiFEiMWg8Pk8+I6ibcNV7eXT6SupKnVx/i0D6yTOB8selErbTnHMfWU9BTmVjLm8J71HpjVF6PUyGg3YHZFdPLfwm4W069OO9599v9bxCncFU2ZNwWq08u557xJjjjmweFL7fJS9/Q5Fzz6Dv6gYw4BBpN55B4uy/Txc8CpVnkI0OzD2HMclPS85YgzegJcqTxVV3iqqPFX4Aj7ax7Ynxf5LZb3GW8OfvvsTP+35iduG3MaVfa88qo9TKYXZXYP53SuI3TEfzvwbdB0Ps++GL++CZa/C2Y9B9ml17tu+bXv2LN+D2Rb8A0kmbkQfvz/AVy8FE+dTp3an/5iMsO5n7LGP4tjdjM67mPMyz2rw2oA/wPf/28z6H/dgj7fw7RsbiUu2kd496Zjjd1gc5Fbmouw2NpSn4fJ4GfWrbsf8ypIQLemwybPW+lHgUaXUo1rre5sxJiHEIcxG8HrDXzDocfn47JlVlBVUc+7v+5PW7fCJ836OJBuT/jQIr8t/4GX849XyzcupyKngrNvqJg0J1gQeHfUoV311FY8tfoyHRj4EwL5589j7ryfw5OTg692Pe3pfwt7sZHp3mMPynYsZ3HYwfz3lrzy+5HH+seQf9EvpR5+UutVmrTUzV83klXWv4PTVP5rLarSS7kgn3ZFOQU0BOeU5PHTKQ1zY7cKj/2Ar8+HNKVC0CSa/BP0vDh6//GPY+Dl8dS+8PhE6DABT7fabToYqllT7KfHuBZBdBqOM3x9gzkvr2L7q6BJnj9/DtAXT0N3tjF1xJSvn7mL4efXPRPd5/cx5eT05K4sYMiGLgWd05MN/LuPLmWuYcvfQY96EyGF2UOWtosbRkRx3Jr1HpckUDXHcC2fB4L1KqSSgG2A76PgPkQxMCPGLA20bYYyq83r8fP7savbm7uPs6/rSsXf4s4SVUsd94gww4+3ggrvLN5SzffJFdc4nAy/WJFDseo+Vjp+J8xrx5OZi6dwZ+z+e4MJVfsxJP+GMfZmVe03cf9KfubjHFAzKwCOjHuHizy7m9u9v553z3qnVTxzQAf6x5B+8ueFNxmSOoU9yHxwWB7HmWOLMcRgNRvKr88nbl8fuqt3kVeVR463hidOfqHcxVi01pVBdfMixEvjwOnCWwmXvQpeDHkMp6HUedB0HPz8L2w/5kV2+kx7unQCsK1wDpEjlOYoE/AHmvrKebSuKGDmla9iJM8CzK59lU9kmnjnnGVyGZFZ8lUuvUzrUGV3ndvr44rnV7NlSzqhfdWPA2GBrx7k3DeCDfyzls2dWMeXuodgcje+Dd1gcVHmq2JQ8BqP2MWJidqMfS4hoEc6CwWuAW4EMYCVwEvAzwR0HhRDNwGIEn9/DTx9tY9lXOxu81uP0UV3hZvxVvckemNpMEUaXOV/OISnBSva2XIynjUbVs6d5e1Io2LuSDd5ChnYcSvurroJzzmTSW0/iS/sKn6mKHnEnsXz5GPLSBmDoGezFTrQl8vhpj/O72b/j/gX3M33MdJRS+AN+Hvj5AT7e+jG/6fUb7hp2V9O9NL32A/j49+CrZ05ubCr87jNIG1T/fc12GH1H8O1gC2fQa8HtwYfPX0kmZ0jyfJT83gDf/28TOauKSOuaSMc+yWT1TT7m+cqBgGbeaxvYunQvJ0/uwsAzOoZ93yUFS3hl7StM6T6F0zJPo/JCJ9tXFTPvtQ10PGQk5ZalhZTmVTP+qt50H97+wPGEVDsTbujPJ/9ewRczVzPp1kEYzY1bi+AwO2hXkk2RtRO9vEuJiT+7UY8jRDQJp8R0K8GtuBdqrccopXoCj0Q2LCHEwawGH16fkw5d6k5NqE/XIe1O2AU5JZUl7Fy+kwsz07F26ULHFw6/RMOwbxcXz7qYHkl+zshy8+SH5+GxVdA9fjD3j/wjg9oO4q7AKqZ/s5VBWUmM6RH8nA5IHcDtQ27n70v+zuvrX+fSnpdyz/x7+Dr3a24ccCM3DrixaRLnQAC+ewR++Cd0PAWGXV33mqyREH90i7sAMMeQFhOMcX3+WjI5A7ckz2Fz7vPw5cw15G+roPOAFIp27WP7quArA23SYknrloipkQlnaX4NO9eVMGJSNoOPYjOg73Z9x10/3EXH+I7cOfROAOJT7Aw/vzM/f7SNvE21Z4db7CbOuak/WX3qvjrVoUsC467oxdcvr+ObNzYctu3jUDaH5cACVIBYg4NTci8kJlBBp6qVYX8sQkSzcJJnl9bapZRCKWXVWm9USvWIeGRCiAPMJgM+n4ezr+vX0qFEvRc/ehHt0ZztM+I4wui4zLhM7htxH9N+nMbyvcvxVWdzYac7eeScSQeueWhSX1bvruBP76zks5tHkZEU7AG9rNdlLCtcxr+X/Zu5uXNZWbSSO4bewRV9rmiaD8RdBR9dDxs/g0GXw7lPgKkJF1laYkkNJc9b8rdwjsmAR3YZDEtJXhWfP7eamkoPY6/qQUJvRYfYfpTl15C7roTctSVsWlSArrv5X1gMCkZMymbohE5hXa+15o0Nb/DPJf+kT3Ifpo+dToz5l17lwWdl0X9MBoeGYzAqjA1Mt+k2rB0VRTUs+nQ7mxcVhh2/LdZMfIqNhFQ77soUkpwmuvMtuGrCfgwholk4yfNupVQi8DEwRylVBuQe4T5CiCZkNhrwaY3b58ZqsrZ0OFHtg08+wGQ2MNxixXF63QkThzq/y/lsLKjg+XllnNH5FP529uBa521mIzN/M4Tzn/6Rm95czrs3nIzVZEQpxUMjH2LqZ1NZVbSKv578V6Z0n9I0H0T5Tvjfr2Hvejj7MfTw65mzYS+7y+pfgHioU7om07N9fMMXWWJJjQ0mzxWlFZjaKdzHMKpue8V2nlz2JEXOojrnMhwZDO8wnOHth5MZl3nEqnxBdQGL8hexKH8RORU5deZYJ1gSuGPYHXRP6n5UMZa5ynh25bMU1tRNBJNtyXRJ7EKXhC5kJ2bTLqZdvXHuWFPM1y+vw2wxMujqJO7afgM7NuygT3IfJnebzITTJjBofPhtFsfKF/Dx2OLHeGfTO4zPGs/Dox7Gbqo7l91kadzIySETOpGaFY9rn+eI12qC4zEri5xUFDkp3FGJs8RIbuI6xlQVEnCF9/UrRLQLZ8Hg/uXfDyilvgUSgNkRjUoIUYvZFPzFt69mH9Z4SZ4PJxAIsOaHNQzpkIwtMZGYQYfpAw5Zs7uCNxbm8smqZDonZfL4rwbUu/FEp5RY/nnxAG54Yxk3/HcZN5zWheGd2xBnieM/Z/2HwppCBqQOOPqAc38K9jK799U+7qkCoxUue49A9jge+mw9r/60I+yHjbOZ+PpPo+mQ0MDmNuYY2tiDH6tvn49Apq9RPc/egJfX1r3GjJUzsJls9Eut/eqI1pqlhUv5cseXALSPbc/w9sPpFN+pTnKaV5XH4vzF7NwX7OtPsibRO7k3xkN61tcWr+Wyzy9j2ohpXND1grBaZJYULOGeH+6hzF1WZwtprTUr9q7ggy0fHDg2qGgcfaqGk+5IJ8GSACq4C+bujWUkZzioOWMzN6z5F22sbbhp4E3MyZ3D/y38P/655J+c2elMJnSeQKy58Ttkmg1mLEYLNqPtwPtDPw8un4v7F9zPT3t+4qq+V3Hr4FsxqKaZk76fUqreto5wLcpbxMw5L/Cb1SMxO+vp2RfiOBTOgsGDVxisCb1v5ItRQojGMId6JyuqK0iJT2nhaKLXJ/M/wV3i5pz4WOynjOTxb7YRazWRnmgnI8lOemIM8XYTn6/O541FO1m1qxy72cgFA9O5ZVw3HNbD/0g8u2977p3Qk6e/2cq3mxaSlRzDxUMyuGhIBgNS2x/2foeVvxremgqxKdB7Uu1zRgsMuxp3Yja3vb2Cz1fnc9XIztwyrmudrY/rPGylk8nP/cSd763m9auGH3YXOiyxmAyKNglxBKoCeIyuo06eN5Zu5C8L/sKG0g2MzxrPtBHTSLHX/frUWrO9cjtL8pewqGAR83fP51P3p3Wuc5gdDG03lF/3/DXDOwyna2LXepPBYmcx98y/h7/89BeWFi7lvhH31WpTOJgv4OP51c/z/Krn6RjfkWfGPUOv5F71xljqKiWnIoctO3dQuiiJaksFm6u2YTfZSbGnkGBJpNPwJD5t9wILNv7I2MyxPHjKgyTaErm+//WsK1nHB1s+4IucL/h0W92PLxJMytT4MYfNwGFzgAKPWWF1SfIsWodw2jaWE9yBtozgRimJQIFSqhC4Vmu9LILxCSEAszn4rVpZU9nCkUS3V997FYDTDSY2Z/fn2W+3Hfbarm0dPHB+byYPySDeFt4orutP68LlJ2cxe20B7y7dxeNfb+ZfczbTo10cJuORq58xFhPn9G3P5CwX8f+bDNZ4uGIWJNQdQ7bP5eX6V5bw07YS7pnQk+tHZ4dVYU2IMXPfub2476O1vLEol9+e3Kn+Cy3BqmhqUhxVLkW1qsTjDG+7ZI/fE5xlvfYVEqwJPHH6E4zPGn/Y65VSZCdkk52QzdSeU9Fa4w1461xnMpjCqpym2FN4/ozneWHNC8xYOYO1xWv512n/omtS11rXFVQXcPcPd7N873ImdpnYYJKtlCLZnkyyPZmqeXFUGPK5etoZfF8+l9fXv05ORQ5t7W3xBDy4Sl385eS/MKXblAP/J0op+qb0pW9KX+4ceidritfg142cm62DFX23313rzR+o+3hD2g2pd954tIgzB2c6e8ygndK2IVqHcJLnOcD7WuuvAJRSZwIXAa8AzwEjIheeEALAEkqey/dVtHAk0W3B3AVktY0j1WLhpZjOpMZ5+faO08kvd7K73ElemZO9+9yc0iWZEZ3bHP1EjKJNxOgAkwf3YvLgDHaW1PD+sl2s2xPeHzV7Klw8N2sB46wPYDB52HzOmwyMS+fQdHHvPhe/+88SNhXu418XD+CiIeHP+AW4dHhHvl5XyCNfbGBk1xS6pDrqXhRKIlMTHbicbsp1CW7nkScqbCrdxLQfp7G5bDMTu0zkrmF31Zp1HQ6lFBbjsS1+NBqM3DjgRga3HczdP9zNlFlT6vT6uvwuLAYLj576KOdlnxfW41YWO9m4IJ8+p6aR0jaBi9pexIXdLmRB3gLe2PAGvoCP+066j+yEw88rjjHHMKKD/GoEDrSuuMwa7fWi/X6UsXH910JEi3CS55O01tfuv6G1/lop9bjW+nqllDRfCtEMLJZgZbSssuwIV564NuRuoGRzCZO7ZGEbMICvd7k4p18HHFYT3drF0a3dMexqpjUsfRlm3wsouOhF6D2Jjskx3HbmUQwfqinF9eLtqIoqrvD/hYXvFdP+q29Iiq2dSBZWunB6/Lx0xdAD4/GOhlKKf0zpz1lP/sBt767igxtOxnToVIVQ5Tklwc6OPTVUUYmr5vCLwnwBH6+ue5VnVz5LgiWBp8c+zemZpx91bE1tRIcRvD/xfd7a8FadHR3NRjNTuk2hY3z4C/iWfrEDZVAMPrvTgWMGZeDUjFM5NePUpgr7hBFnCX7fuYzB3VG1y4WKbXwvuBDRIJzkOV8pdTfwduj2VKBQKWUEwtsrWAhxTKzWUPJcUdrCkUSvGW/PAA1neRWl/f3AP0QAACAASURBVIezr8LHuF5NMOvaXQWf/QnWvAtdx4OrAt69As56BE7+ffiP4yyHt6Ziq9wOv3mfVzNH8dW6Ar5eX4jHV/tHaXZKLNeNzmZA5pG3VT+cdvE2/nZBX/7w1gpmfLeNm8d1q33B/raNeDvO9U48Jhfuivp7nnMrc7nvx/tYVbSK8Vnj+fNJfybJltTo2Jpaij2FWwbfcsyPU1FUw8aFBfQ7PR1HktSGmoLFaMFsMOMMJc8BlwuDJM/iOBdO8nwp8FeCo+o0sCB0zAj8KnKhCSH2s1qCv8grW7jyrLVma/lW5u6cy+L8xXgCtSuVCkW6I51uSd3oltiNrkld6RDbocknANRn9heziXOY6WW1MjelJ7HVXk4reRvWdoT0IZDYMbhl9dEo2gTv/haKN8PY+2HU7eB3wwfXwFf3QsUuOPNhMDTw8XmqYdHzsODJ4FSNi1+D7NOwAZMGpjNpYPoxfdwNOa9/Gl+vK+SpeVsY07MtfdMPaq8w2QBFapyF8tJyPMpJwBPc3e7gRYbrStZx5ewrMRlMPHbqY5zT+Zym2zkxyiz9fAdGo2LwWeFvTCKOLM4SR40p2K8dkIkbohUIZ1RdMXCzUipWa119yOmtkQlLCHEwq21/8lzeZI/p8XvIr84P69pSVynf7vqWebnz2Lnv/9m78/ioqvv/468ze2Yme8KShCQQAoR9B1FxZ7EqqLRqXevaVn76/XaxtS619qu2dnFBq7VqVXAXUVSquFEBEdlkDTuEAGHJvkxmP78/7oABAgyQZLJ8no/HfSRz586dMxlueOfM55yzA4WiX2o/EuyHziUcCodYsW8Fc7bNObjPaXHSJ6UPfVP70je1L/3S+pGbkNukgbq2vpYt325hQkZXbJmZvFdp5/bOK7F/0WAxVFe6EaK7DgbHceZABiPoLnzSWN762lnQ42xjvykOfvQKfPI7+OYfUL0LLn0OrIctyRz0w/KXjdUBa/dC/ng47z7o0rIL3Tw4qR+Lt5Vx0bQFR/ztsNbuIM1tIRQKYbUY74e/PojDZXzSEQgHuH/h/cRb43ntB6/R2RXdgMK2qHKvhw2L9zDovG64EqXXuSm5rC5qTcYAUS1zPYt2IJqp6sYAzwNuIFspNQi4TWt9Ap9XCiFORVycEczqmiA8F5YVMmvzLOZsm0OVL/oBiBZlYWTXkVzf73rO6XYO6c70ox5b469hS+UWNlduZmPFRtaXr+edje/gDRm9Ti6ri1THyc8de4AOayo3VbLj8x2EvWEmhi2ERo1ha5mHCd2/A2caXP0W7F4Bu5bDrmWw8ROinm0z+zSY8iIkZBy632SGCX+CxG4w9x7YsdgI51aHEbatTmOBk8odxvLZP3oFskef8us9GUlOGzNuGsUHq0pouOTd8h2V1BbbSYkzBm85TUbddcPw/O81/2ZjxUaePOfJdh2cAZZ8tA2z1cSQE1gOW0THbXVTZzbCs/Q8i/YgmrKNx4DxwGwArfVKpdTYZm2VEOIQDqdRI1hWsYei6mMv8Km1JkwYrTUhHSKsw4R0iBV7V/De5vfYULEBm8nGudnncnrm6VhMx/81EGeOY3iX4cecVcHv97N582Y8Hg/hcJhQKESXUBc6687cNPQmUtNT2Va1jbVla1lbupZqf+MzVNSV17Fz9U5jW7WT+qp6UrqlkJqTenBTJsXG/25kw7wN1OyvwWw1M3JkPmdWKFZ3G4B5R4ic8q+h4AdGb3PmMBgReYJAPYSOv1oaYEwld7QSBaVgzFRI6QFrZhrnDXiMr94qSMqBix6DvPNOvFykieV3jucXFxw6YHL6N0V4dthJiUxQ4YyM/95TsZ+EtGy2Vm3l2ZXPMj53POdkn9PSTW5R5SV1bFyylyEXZONMaMIl0AUAbpubamWM19A+Cc+i7YsmPKO1Lj6sxu0kJ68UQpwMd5wx1dg3exZz0azoptxqTL/Uftwz6h4mdp8Y9fRi5eXlbNy4kZVFKwkGgwc3j8fD+vXrWb16NWvWrGHjxo0Eg0dfZKOgoICzzjqLs88+m5vOugm73c6mTZsObhs3bmTZsmVs3LgRAIfDwejRo8kYlsGGDRsonFOIx+M5eD6bzcaECRP44Q9/yMUXX0z9k9OofPdd3lddmZy6BnNdJfQaf2RDrHHG1lT6XGhsbYzbbqYeOyl2YyCXQxuhcfPerfTsmcUfvv4DcZY4fjvyt7FsZpPSWrNi7g4q9noO2V9aXGMstz2u5ZbV7khcVhc1ag8gPc+ifYgmPBdHSje0UsoK3AkUNm+zhBANJcYbQXdIuC+Xj/opVtuxF/UwYUKh8NZ5qdpfRfm+cnS1Jrg2yIKPF/DGzjcoLi7G5/ORk5NDbm4uubm55OTkEBcXx8qVK1mxYgXLly9n+/btx3yu7t27M2DAACZPnky/fv2Ij4/HbDZjMpkwmUxorVm5ciXz5s1jxowZPPvss0ecQylFTk4OAwYM4Oabb+aMM85g2LBh2Gzf9wKGw2GKi4spLCyktraWCy64gMRE4+eitWb/vHnYR41iUXENM3LWQr0VerTvHtNT4bJZqMNBqsPoC7GHjf8Otpfu4K0Nb7F833L+ePofG10xsK1aO383i2ZtwZloO2LlxZEXdyfOLb3OzSHeGs8eZYTmsNQ8i3YgmvD8U+AJIBPYBcwFbm/ORgkhDpWQZExZ9ur0ubw6fS4ul4vk5GSSk5Ox2w8d3KS1prKykpKSkkN6ag9ISkqiW7duZGVlYbPZKCoqYtGiRVRUHDqTR35+PqNGjeJnP/sZffv2xel0YrFYsFgsBHfuIrBgATluF66Gz79pU6PtHwhcO2oUweHDWbNnD98UFaE19OiUTo9OncntlI7D4UCZTICCJUupWrL0iPM4gWGR7/0vv8L+yPdhj4fArl3s/sEVBPdpBtV/A7mnRzcwsINyOyx4tJ1sm/FpQV1dDW5g/Z5NfOv5lNO6nsakvEnHPkkbUl1Wz9czN5PVJ5lL7hzcbmcMaY1cVhdVygjNWpboFu3AMcNzZC7nJ7TWV7dQe4QQjUhLS+X5rG5sGDuK+D4DqaioOLgFAkcuc5yfn0/Xrl3p2rUrGRkZB79mZWXhdjey2hxQVVVFUVERtbW19O/fn4SEI4Ond8MGSp/+BzVz56JsNsJuNzUn+FryIhvhMLqiAr2uEE8wSF0oBKGTrwgzJyXxSWI+/WqKiavcBKNvOulzdQRuu4US7DhVNS6Xi4qqcjoD+yrLCMeHuf+0+2MaMLXWbFi8h5ItVZx+eU9sjqiqDI96ri+nrwfgnGv6SHBuYfG2eCoxwnNYlugW7cAxfxtprUNKqRyllE1rHeUIGyFEUzO7XIxxuRhw2nBGTv1Nk5xTa41u8B9ZvNVK/549D94ON+i19m3bRtmzz1Lz6WeY3G7Sfv4zUq67DnPSyS/icbil28tZVnTkPNY9O7k5r+D4Mz2Ewpr/PPQZ93baCHtpvN5ZHOSyW/BgRwU8pKenU1FRBvFgDzmYOngqWfEntiR4U/LWBpj32nq2LDc+WyjbWctFUwcdnAXkRK1bsJud6ys468e9SUhrwnp3ERWX1UWdxfiEQ3t9MW6NEKcumj/ltwILlVKzgYPzPGut/95srRJCHMISmW2jqrKGYCh85FLLJ6h+1Sr2PvQw9StXRv0YU3w8abffTsp112JOjG6wYTSCoTCPfbaRf8zb0nAmtUNcOzqH+y7qi81y9Nf9XXEF5XV+zkhdBmm9jFkwxFG57RY82oEpaITnsvIyTMmKszqdy9UFE2PWruLCcj5/aR31tQFOuzSPxE5xzH1hLe/9fQWX3Dn4hGfDqCn3snDmZjJ7J9HvjIzjP0A0ObfVjT+SNsJStiHagWjC85bIZgLij3OsEKIZuBPjqQZWbNrDrx/6jHN6d+K8gk6M7ZVOgiP63rjAvn3sf+xxqmbNwpyeRtrUqZjiHMd9nMnlIuHCCzE3UspxKkqq6rnj9RUs2V7Bj4Zn8bsLCw4JyGEN0z7fxD+/2sqGPTX845qhpLkbX8Di88J9JJi8pJctgVG3NWk726MDPc+WoIe0tDT27duHvb+F7s6emE3mFm+P3xvk2w+3sfKzYpI6O/nB7YNIzzb+y7no5xbmPLuKd/+6jEn/M4T4lOP/mwXj05V5M9ajNZx7bQHKJOUaseC2uQlE0oYskiLag2hWGPxDSzTkVCmlJmAMbDQDz2ut/xTjJgnRZBxuI7RO6JnInt6d+HL9Pmat2IXFpEhyHhmex+Slcf/FfQ8GzbDXS8WMGZT+4xnCgQCpN99E6k9/htntatHX0dAX6/fyy7dW4guGefyKwUwe0vgy1XdfWEDfjAR+M3MVF09bwHPXDmdA1pE931+s38f1nbehKvzQa0JzN7/Nc1rNeLBjDXtJT0tj7dq12OIs+OuPPt1gUyndWcPW70qpLq2nen89VaX1eKqMysD+Z2Uy5vKeWG3fB/hufVO45I7BfPjUSt79ixGgkzo7j/s8hV+XsGNdOWOv7CXlGocJhULs37+f1atXs3LlSlauXMmqVasoKiri9NNPZ9KkSVx88cV07dr1iMfW1dWxefNmzGbzwYHLcXFxR60ld1vdoBTaYZep6kS7EM0Kgx9w5HJcVcBS4J9a65hfCZGBjU8DFwA7gSVKqdla63WxbZkQTcMUKdtIXLGWXwff41daU+r3sauyHn8wfMixobCmdF4Z856pJd/ix1FXSbjKWJDEfc45dP7NXdhyc5u8jVWeAI99tpGyuuMPj/D4gny+fh8FXRN4+sdD6JHe+CDGAyYNziQv3c1t05cx5dmv+dW43mQkfR+G6vxB1u+p4Ynuq8CRCN1GnfLrae9MJkXQbATQ9NRk9u/fj70FwnPlXg+z/rocvy+EO8lOQloc2f1SSUxzkJGfREZ+cqOP69ozicm/GMrsJ7/jzf/7FnsU9c/1tX4y8pPoP7bxP8zaO5/Px+eff867777LkiVLqKmpoba2ltraWuoPG7iXmZnJoEGDGDFiBJ9//jlz5szhtttuY9SoUUyYMIGqqioKCwspLCxkx44dRzyXzWYjKSmJzp07k5mZSWZmJhkZGWRmZtJ1iBHAtd0qU9WJdiHamud04PXI7SuAGqAX8C/g2uZp2gkZCWzWWm8FUEq9AUwCJDyLdsGclo492Y9vezG+HSWgFA4g72izBtgsVJnNlCszjm6JZJ+eS9KYsbimHHuWSa01pbV+1pVUs253NWt3V7GupJrq+gB3Tyzg8mGNDyIrLvfwk5eWUFRWR7fk4/cIAtx4enfumtAbhzW6EoH+mYnMnno6t7+2nIfmHDnVvFmF6Vn1NfQ8H8wnN7Csowlb4iAE6ckJ1NfXo80BfJ7mK20I+EL855+rMZlNXPvHkSfcG5yeHc9lvxrKqi93Ejrsj8bGWGxmho7L7lDlGh6Phzlz5vDuu+/y4YcfUlNTQ0JCAmeeeSbJycm43W7i4+Nxu90kJyfTr18/Bg0aRGpq6sFzaK1ZvXo177//Pu+//z5/+MMfiIuLo0+fPpxxxhkUFBTQu3dvgIOz/lRWVlJeXs7evXvZtWsXK1euZM+ePWitGXP2GLgBwnYrWnqeRTsQTXgeo7Ue0eD2B0qpJVrrEUqptc3VsBOUCRQ3uL0TkK4n0W6YUrLo8dN+ULkDgl5jCeig19iiteZjlpet5L85dxA2GeHS4w+xr8bH3mov+6q97K32UR/4frq4rOQ4+nZNoLTWxy/fXsnCLaX8cVJ/XPbvf3WsLK7kppeX4A+GmX7TKEb3SD3iqZtKqtvOazePZmtpHeHDRhemVK7C/Pp+Kdk4AWGrE0KQlmR8slEfrMHqb7rBoA1prflyxnrKS+q45P8NPukyiuQuLs66qncTt67tKyws5Nlnn+Xll1+mqqqKtLQ0rrjiCi677DLOPffcI+aDPxalFAMHDmTgwIHcd999VFdX43a7MZlObKByMBjk6quvZuGihSSTTMhmISzLc4t2IJrw7FZKZWutdwAopbKBA5+xtqnp65RStwK3AmRnyzKsog0xW+H62Ufu15qjTlERsXl/Lfe9u5xxu57hJyVvwq5l3BG4g92kYbeY6Zxgp1OCgwFZSZwfbycjKY6Crgn07ZpAYqSeOhTWPPn5Jp78YhPfFVfy9I+HUtA1gblr93DHGytIc9t549bR9OzU/GOKTSZFz06NlHmsnQfKZPQ8i6hoqwu8kJ5k/Dw9gWri6punDn71vJ1sWrKXUZN60K1vSrM8R0fj9/t5//33eeaZZ/jyyy+xWq1MmTKFm2++mbFjx2KxnPzc2A01Nud7NCwWCwUFBbz99tskBhIJWU3S8yzahWiurF8CC5RSWwAFdAd+rpRyAS83Z+NOwC6gW4PbWZF9h9BaPwc8BzB8+PBjJw4h2gKljO0YenZO4PWfnQ2cDWtnMfT9/8cC1wNw+b+iDppmk+J/L+jFqO4p3Pnmd0x6eiGXDMpg5vKdDMxM5PnrR5AeH33PVtSqdsKOb47cb3NB10GQ0GDqsY0fG7XOTglmUbMaQTk9wegFrvNVYfJ2avKnKdlcycK3N5M7MI1h43Oa/Pztidfr5ZNPPqG6uhqbzYbdbsdms2G1WtmzZw/r168/uG3atIlAIEBOTg6PPPIIN954I506Nf37dyry8vLQWhMoDRCwmWSqOtEuRDPbxhylVD7QJ7JrQ4NBgo83W8tOzBIgXynVHSM0Xwn8OLZNEqIV6ncpdB4Ab10HM6bAwB+BI/qFTsYAX/UPMX/Tfnat9DIx3clZuelY5kd6xZUJskdB/jgj4J6sQD0sfAIWPHbs0hR3F8gcBp37wZ5VcP4DJ/+cHZCKvEdp8cbcybXeKuJ8IcKhMKZTnEv8gLoqHx//aw3xqQ7Ov0Gmizua1atX88ILLzB9+nTKy8uPepzFYqFnz5706dOHSy65hDPPPJPx48djNrf89ILRyMvLM74pA79VHbIwUyx4/EHKao/80Dw93h71+Ashoplt47LDduUppaqA1Vrrfc3TrBOjtQ4qpaYCn2BMVfei1rq11GML0bqk9YSbP4OPfwOFHxy37ONwcRjT2oScGrNfodY0uDPkh8XPgCUOeo2DvpONlf6iDdJaw/oP4ZPfGfXd/S6F0/8HrIcNQqyvgN0rYPdy2LUMNnwEKOh94Qm9lo7O7Ij0PB8Iz/VVpAM71pVjc3wfJEIhTV2lj9pyHzUVXmrLvfg8QYZPzCV3YNpRzx/whfjkuTX4PUEuuWMw9kamVewodu/ezbx58/D7Dw1uVVVVvP766yxevBibzcall17KjTfeSI8ePfD7/fh8voNfO3fuTI8ePbBa287P8UB41qUan1UR9sSu53nx1jJum7GMSk/giPscVhNn9UpnQv8unNunM4lxbednLFpeNGUbNwGnAV9glG2cDSwDuiulHtRaT2++5kVPaz0HmBPrdgjRJticcMk0YzsJiqP88giHoGghrH3PCObr3jeCdHpvo8TiwBafAXb3kY9d/jJs+QI69YXrP4DuY4/eiOwGY4LrK8FTBql5J/V6OiqLw3gPEu0Kq9VKTX0lOOCjp1cd9TFx8VbcyQ589UH+88/VjL+lPz0Gpx9xXMAX4sOnVrJnaxXjbu5PauaxpyNsi/bs2cN7773Hxo0b6du3LwMGDKBfv3643cZrLS4uZubMmbzzzjt8/fXX6KP8odq3b18ee+wxrrnmGtLSjv7HSFvUqVMnXC4Xof0hfMk6ZlPVvbdiF3e9s4puKXH87sICTA3K3bTWrN5VxSdr9/DJ2r1YTIrT8lIZkp1MtB+U3Dq2B05b09SYi9YvmnfaAhRorfcCKKU6A69gzGbxFdAqwrMQohUwmY3A230sXPgXKPoa1n8EZZuhogh2LDJ6jY/GnggT/gwjbgbzCfxHFJdkbOKEHAjPKlBHWloaQXMdl/1q6BHTwCmTwpVox51sxxJZvMTnCTD7yZV88twaxt96aID2e4N89PQqSjZXcsGN/eg5rHXV4Z6K7du3M2vWLGbOnHkwENtstkN6lPPy8khISGDFihUADBo0iAcffJCLLrqIpKRD/51aLBYyMzOPusBIW6eUIi8vj9J9pdSnh9FeX4s+v9aaJz/fzGOfbeS0Hqk8e82wgwOhG/rh8G48cHE/Vu6s5OO1e5i7di/zN5VG/TzXjM6R8NyBRPNOdzsQnCP2RfaVK6WO/OxDCCEgEqTPNLaG/B6oKYGA58jHJHaTENyCbJHwHPIZ4bm0tJSuPaP7+dudVi65czAfPPmdEaBv6U+PIen4vcFIj3M1F9zUj/zhnZvzJTSLPXv2cO+99/Ltt9/i9Xrx+Xx4vV68Xi/V1caCQ4MGDeKBBx7g8ssvp6CggO3bt7N69WpWrVrF6tWr2bdvH4888giXX345+fn5MX5FsZWXl8eOZTuoHxgi7G25Sbr8wTC/fXcV7y7fxeVDs3jksgHYLEev5TeZFEOykxmSnczdEwuO+kmBENGE53lKqQ+BtyO3L4/scwGVzdYyIUT7ZHNKeUUrYXMaUwv662tIT0+ntDT6njYAe5yFi++IBOh/reHc6/qwdsFuIzjf2LfNBedgMMgzzzzDvffei9frZfz48bhcLhwOBw6HA7vdTrdu3Zg8efL3A+EievToQY8ePZg0aVKMWt965eXlMfvD2dSags0yYHBvtZdH5hRSWX9of97uyno27q3lFxf04v+d2/OEe/fb66cB4tRFE55vBy4DzojcXgp01lrXAec0V8OEEEI0L2dcHH5tJlBfS3p6OsuXLz/hc9jjLFxyx2A+mPYdn71UiDIpxt3U9ko1Fi1axM9//nO+++47LrjgAp566il69eoV62a1C3l5eYQCIUrq69B+PzoUQjXR7CDF5R6ufn4xpbU+8g+b/91lt/DElYOZNLhjLs8umk80U9VppdRWYDTwQ2AbMLO5GyaEEKJ5uewW6rET9hnhef/+/Sd1HlukB3rBW5vIHZjW6ADC1mDnzp28+OKL7N69+5CZLCorK/nss8/IzMzkrbfeYsqUKdLr2IQO9NIX19YBVrTXi3Kd+mI8m/fVcPXzi/EGwrx2y2gGd5OSL9EyjhqelVK9gKsiWynwJqC01tLbLIQQ7YDbYaEOBzZfHWlp3aisrCQQCJzUVGg2h4VzrytohlaeuhUrVvC3v/2NN998k3A4TFpa2sHFRw4sRHLXXXdx7733Eh/f/KtkdjQHwnNJtQdIJOz1YjrF8LxmVxXXvfgtJqV487bR9OlycqsgCnEyjtXzvB6YD1yktd4MoJT63xZplRBCiGbntpup13YsvjrS043e4rKyMrp06RLjlh2qurqa7du3s337drZt20ZZWRmZmZnk5OSQm5tLTk4OcXFxaK2pra2lvLycsrIytm7dyj/+8Q++/PJL3G43U6dO5c477yQ3NzfWL6lDyc7OxmwxH1ycRJ/iKoNLt5fzk38vISHOyoybR9E9rXmWlBfiaI4Vni/DWKnvS6XUx8AbGNO7CiGEaAdcdgse7MT7vw/P+/fvj3l49vv9fPzxx0yfPp3PP/+ciopjTG8YkZSURF1dHYHAoYPGsrKyePTRR7nllluOmCZOtAyLxUJ6ZjoVVcYMO6eyRPeyogqufeFbuiY6mHHzKDKS4pqqmUJE7ajhWWv9HvBeZFaNScD/AJ2UUs8As7TWc1uojUIIIZqBy2ZhNw44LDw3t5qaGkpKSrDb7Ydsa9eu5ZVXXuGNN96gtLSU9PR0Lr/8cnr16kVubu7BLSUlhZKSErZv305RURFFRUWUlJQQHx9PSkoKKSkppKamkpaWxsiRI9vUinztVWZOJts3roVECNefXHguqarntunL6JRg583bTiM93t7ErRQiOtEMGKwDXgNeU0olYwwa/A0g4VkIIdowt92CR9tRQc/Ble2aMzxv3bqVJ554ghdeeIG6urpGj7Hb7UyaNInrrruOcePGHTX4ZmVlkZWVxRlnnNHo/aJ1ye6ezapvV0Ai6JNYZdAbCHHrK8vwBkK8dssoCc4ipk5oORytdQXwXGQTQgjRhh0o2zAHqg72PJ/oXM/Ho7Vm0aJF/P3vf2fWrFmYTCauuuoqLrjgAgKBAD6f7+DWqVMnLr30UimvaIe69+hOwBumMhSi2wn2PGutueudVazZXcW/rh1Or84yqFPElqwlKYQQHZTNYsKr4jCH6klITQWatud5/vz53H333SxcuJCkpCTuuusupk6dSmamzLvb0eTnGassFvv99DvBnudn/ruF2St38+vxvTm/b9taeEe0TxKehRCiAwua47CG6rFYLKSkpDRJeF67di133303H3zwARkZGUybNo0bbrgBt9t9/AeLdqlPfh8AigMBtNcX9eM+W7eXv3yygYsHZfDzs2VlUtE6SHgWQogOLGiOwxYyegLT0tJOOjwHg0GKiop4+OGHeemll3C73Tz88MPceeedOJ3OpmyyaIP69uoLwI6An3AjPc+rdlby6jc70OiD+7SG/6zZQ7+MBB69fKAsXCNaDQnPQgjRgYUsTizBAISCUa8yuGrVKh599FG2bdtGaWkppaWlVFRUoLXGZrNx5513cs8995AaKQURIi0xDWuihWJ/AH1YzXM4bNQ0by+rI9lpO+S+vE5unrl6KHG2plnOW4imIOFZCCE6sLAl0iscMKar27x581GP3b9/P/fddx//+te/SEhIYOjQoQwePJi0tDTS09NJS0vjoosukkVIxBFMykRc5ziKi/1HzPP80eoS1u+p4fErBjN5iNTDi9ZPwrMQQnRg2hoJz34P6enpLFq06Ihj/H4/Tz31FA8++CC1tbVMnTqV3//+96SkpLRwa0Vb5urqonhr6SFT1QVDYR77dCO9Oru5eFBGDFsnRPQkPAshRAembJGljf11pKWlUVpaSjgcpra2loULFzJv3jxmzpzJli1bmDhxIn/7298oKCiIbaNFm5SUmUxhcA911TWkR/a9u2IXW0vrH9N7PwAAIABJREFUePaaYZhNUtMs2gYJz0II0YEpeyQ8R8o2QqEQw4cPZ+XKlYTDYaxWK6NHj2batGlMnDgxto0VbVpKpvFJRdGeEnIBXzDEE59tYmBWIuP7yRR0ou2Q8CyEEB2Y2R6ZPs7vYdiwYSQlJREfH88999zDWWedxWmnnSazZYgm0Sm7EwDb9uzlLODNJcXsqqzn4csGyEwaok2R8CyEEB2YOdLzrP21jB17ARUVFTFukWivumZ3BWDb/n3U+0NM+2IzI3NTGJuf1qzPW1payuLFi/nmm29YsmQJKSkpjB07ljPPPJOCggJMJlOzPr9ofyQ8CyFEB2aJM3qefZ4aHDFui2jf0lLTcJlNFJWV8cqi7eyv8fH0j4c2Wa+zx+Nh48aNbNiwgQ0bNlBYWMiSJUvYsmULACaTif79+7Nq1Spef/11AFJTUznjjDPo27cviYmJh2wZGRn06dMHh0OuDHEoCc9CCNGBWePiAfDV10p4Fs0q3hZPZ6eNbRUVfPffLYztlc7I7qc2Y4vWmrfeeov777+fjRs3HtyvlCI7O5uhQ4dy6623Mnr0aIYNG4bL5UJrzdatW/nqq6+YP38+8+fP56OPPiIYDB5xfrPZTK9evRg4cCADBgygoKCAjIwMMjIy6NKlCzab7YjHiPZPwrMQQnRg9kjPs99THeOWiPbOZXOR7rSyrbIKkyfAr8b1OqXzbdq0ialTpzJ37lyGDBnCgw8+SO/evenTpw/5+fnExcU1+jilFHl5eeTl5fGTn/wEMEJ4fX09VVVVB7eioiJWr17NqlWr+Pbbb3nzzTePOFdaWhoZGRnMnTuXzp1l0GNHIeFZCCE6MIczAYCgtzbGLRHtXbw1njS3jWX7yhnf1c3ArKSTOo/X6+XPf/4zjzzyCHa7nWnTpvGzn/0Ms/nkVyFUSuF0OnE6nXTtatRmjxo1ih/96EcHj6murmbz5s2UlJSwe/duSkpKDn6fkJBw0s8t2h4Jz0II0YE5XEbZRtBbF+OWiPbOZXWRGm8lqDWpKvo/1g6UWSxdupQlS5bw3nvvsWXLFq688kr+/ve/Hwy7ze3AqppCSHgWQogOzO2wUa9thKTnWTSzeFs8SYlGjbDDs/+I+8vKyti+ffsh24YNG1i2bBnl5eUA2O12hg8fzjPPPMMFF1zQou0X4gAJz0II0YG57GbqcKD90vMsmpfL6iIhyQjPunrPwf0bNmzgjjvuYO7cuYccn5CQQF5eHpdddhkjRoxgxIgR9OvXTwbpiZiT8CyEEB2Y226hXtsJS3gWzSzeFk9cogWbUtSX7aauro6HHnqIv/71r8TFxfHAAw8waNAgcnNzyc3NJSnp5GqihWhuEp6FEKIDc9ktVGDHGvDEuiminXNZXQSsJrKsVpZ89Rl9+77Pjh07uO6663j00UdltgrRZkh4FkKIDsxpM+PBQXJAep5F83Jb3fitkG21Mm99IQMGDOCrr77izDPPjHXThDghEp6FEKIDU0rhUw5MgfpYN0W0c26bG58Fpqalc+2f/8x1t92GxSIxRLQ98q9WCCE6uIDJgTlUFetmiHbOYXbgtyj6Ohz0nDxZgrNos0yxboAQQojYCpjjsIak5lk0P6/FmCkj7PXGuCVCnDwJz0II0cEFzU6sYSnbEM2rvM6Pz2QFIFwv4Vm0XRKehRCigwtZ4rCFJcyI5lVU7sFntgOgffLvTbRdEp6FEKKDC1udOLQXtI51U0Q7VlzuwWeOlG1Iz7Now2ISnpVSf1FKrVdKrVJKzVJKJTW4726l1Gal1Aal1PgG+ydE9m1WSv22wf7uSqnFkf1vKqVk6SEhhDgRVhdmwhD0xboloh0rKvPgMzkA0F4pExJtV6x6nj8F+mutBwIbgbsBlFJ9gSuBfsAE4B9KKbNSygw8DUwE+gJXRY4F+DPwmNa6J1AB3NSir0QIIdo6m8v4KguliGZUVOZB252A9DyLti0m4VlrPVdrHYzc/AbIinw/CXhDa+3TWm8DNgMjI9tmrfVWrbUfeAOYpJRSwLnAO5HHvwxMbqnXIYQQ7YE6EJ79tbFtiGjXiss9WOPiAQhLz7Now1pDzfONwH8i32cCxQ3u2xnZd7T9qUBlgyB+YL8QQogomexGePbX18S4JaI9KyqvI85tVGlq6XkWbVizzVCulPoM6NLIXfdord+PHHMPEAReba52HNamW4FbAbKzs1viKYUQotUzO9wA1NfVIoNGRHPwBkLsrfYxsKcRngP1shy8aLuaLTxrrc8/1v1KqRuAi4DztD44xHsX0K3BYVmRfRxlfxmQpJSyRHqfGx7fWJueA54DGD58uAwrF0IIwBIJzz6P9DyL5lFcbtTTpyWlAuCtq45lc4Q4JbGabWMCcBdwida64QiV2cCVSim7Uqo7kA98CywB8iMza9gwBhXOjoTuL4EpkcdfD7zfUq9DCCHaA1ukDtXnkUDTKmz9L9Tui3UrmtSOSHjOSErBZ4GA/KEm2rBY1Tw/BcQDnyqlvlNKPQugtV4LvAWsAz4GbtdahyK9ylOBT4BC4K3IsQC/AX6hlNqMUQP9Qsu+FCGEaNvsTqPn2V8vAwZjbtdyeOUSeGEcVO+OdWuaTFGZEZ6zk1LwWcEv4Vm0Yc1WtnEskWnljnbfQ8BDjeyfA8xpZP9WjNk4hBBCnAS70+h5DsiAwdj78mFwJEJdKbx0EdzwESR0jXWrTtmOcg8um5mu8Un4rBD0SM2zaLtiEp6FEEK0Hg5XIgAhr/Q8x1Txt7D5Uzj/AcgeAzMug5cvhhs+hPjGxt+fpOoS2PE17FsPOnzofRY79JoAXQc23fNhhOduKU7ibfFUWyBYL3OKi7ZLwrMQQnRwcS6jbCPkk97AmPri/8CVDiNvNRauufodmHF5JEB/BO5OJ3debzWsew+KFhmhuWJ75A4F6rDqTR2CLx+Czv1h0JUw4EcQ3/nknldr8FaBzc2Ocg956S7cVjc+K4Tqm3eeZ1/Ix4JdC6j2nXwdf1Z8FsM7D8dYUkKI70l4FkKIDs7tdBHSirCE59jZvgC2/RfGP/z9io85p8HVb8OrU4wAfeFfwHTYf9tpvcGVevTz1u6DVybBvnXgTIXs02DELca5uwwEs/XQ4z3lsGYmrHwd5t4Ln/4eepwN8dGUjkTCcu1eqNlrfA350D3OZUf5LZzbpxMumwu/BbS3eeZ53la1jXc2vsPsLbOp9FWe8vn6pfbj5gE3c272uZgO/0NDdFgSnoUQooNzOax4cKD9Ep5jQmv44iFwd4HhNx56X+7p8OO34NUfGgH6cHHJMPlZ6D3hyPuqdhmDD6t3G+fIHwfH60V1psDIW4xt/0YjRK//EPZviO61OBLA3Rly8oye8rr9qJWvMzo8gm4p/XBb3fitqknDs9aauete5c0ts1lSUYhFmTmn0zCmZJ1HbtbpYLEe/ySHnxPNot2LeHHNi/zvvP+le2J3bup/Exf2uBCr6cTPJ9oX9f0Uyx3L8OHD9dKlS2PdDCGEaBX2/T6X3Z3OZPDt02PdlI5nyxcw/VKY+BcYdWvjx1TugPKth+4L+uGLB2HPahhzB5x3//c9yRXb4eVLjJ7kq982eppjIejH+/hQtlabKL36U8b27syMi/tTUBlH/j3/d9yHK7sNe34vrJkZjZZPhAI+HnpvCm97tpMZCDKlppbJtbWkhSK13K5OMOx6GHYDJGadePPDQT4t+pTnVz/PxoqNJNuTGZg+kP5p/RmQNoD+af1JtCee8HlPhlJqmdZ6eIs8mTgm6XkWQgiBV9lRARnE1eIO9DonZBkh72iSso3tcN3Hwid3w9dPQvFimPIiBOqN4BzwwPXvQ+aw5mv/8VhsfJc/ldErfsP+0rnQ+1pqE204N9Wy63/+J+rTmBITcRQU4CgowJ6fj7LbCNZX8PqSv7MLH/dY05iQfR7KZQIXVAEq7MdW9x32eX9Fzf8b9L4QRtwM3c8CU3QlGBaThYndJzIhdwLzd83nk+2fsKZ0DV/t/AqN0fmYHZ/NC+NfoIurCQd1ilZNwrMQQgh8yoEp2LyDuEQjNs2FXUvhoseNmS5OlNUBFz0GOafDB3fCs2eCyWyE8hs+gi79m77NJ2ih4yziwzn0XfpXGHUFcy7pQvkPsvnFsF8c97Hhujp8GzbgXVeIt7CQildfRfv9B+8/L7LBPkp4vdFzmJw9iOuWQFzht8R9+SmOkWdjueHVI+u9j0EpxdissYzNGgtAjb+GdWXrWF26msKyQtLi0qI+l2j7JDwLIYTAb3JiCUrPc5PwVkPhBxDyH//Yb/8FSTkw5JpTe84BU6DrYHj7Bqgvh2vfg/Rep3bOJlJU7uVFx3X8reKPsOwl4pzx7Ioz4+jVoH3hMFQWAYeVkqYl4swZCeOM5Rx0MMTeb97mgXWvUGw1c2evqzir348bfV4dDOLbsJH6FcvxrPiO0lX7IZwK/12N+emh2PoMxJ7XA1uPPMxJSeiAHx0MQiCADgTQ4WOXteZFtsn0wTTSD06JVB2FvNNCCCEImB24QhKeT1l9hVG/vHtF9I+59LkT6gU9qrSecNtXRmi3Ok79fE1kR7kHV/rpYD0TvnoUd//TqfXX4gv52FK5hY3FC9i0/Hn21JdGdb7VDjuVXW08fsafGZM38ZjHOnr1IvHiiwAI1dbiXbUK7yfP41/6Gb7yLdRs20ao4p1Tfo1Jl1+Gyek85fOItkHCsxBCCILmOKz+slg3o22rr4BXJhvTwv3wZeg26viPMVvB1YQf+ZtMYGo9wRmM8Dy+XxcY+QA8fx6umn185S1h5KsjCUcWabGbNF2TMzEdPhVfI9ItcfztzIcZ0HnwCbXD7HbjGjMG15gxMO9PMO8RGH4TwTH3Eq6rQ1mtxmaxoKxWMJujPrey2U6oLaJtk/AshBCCkMWJ3Ss1zyfNUw7TJ8O+QrhiBvQaH+sWtQo13gDldX6yU5yQNQAKLuGSnfMx9z2PvP3b6LVnHfmdh5B96XOYE7u1XMPO+o0xoHLhE1iscTDu/44/jd8BgXrYu9b4dGH3CtizCm7+/ORq1kWbJOFZCCEE2urErptn4Yr2oM4X5OkvN/PN1iN75wuSQjxYdQ/m0vVwxavQa1wMWtg67Sg3SoFyUiMlDefdz/lPj+L8xe+CyWosRT7qp1HPftFklILz/wABLyx6ypipxBpF2YWnHPYXQjho3HamQcYQ41OHplxCXbRqEp6FEEKgrU4c2hfrZrSsoB+qio05lAON97prNEu2V/D20mIqPAFGdXJjtTQIelozbv1LhEy7CFwxA0eMg3OVJ8CK4oqYPX//zETS3N/3wBZHwnN2SiSYpuXD6XcYKype/AR07heLZhqUggl/MhZ22TYfglH8+4/vbPxxlDHE2BIyo++xFu2GhGchhBBgc+NUPsKhEKYTqPVsUwL18PkfYfdyIzBX7+aI2R0Oo4CRkQ0b0MiKzyGLjZu8v8C/IIkXe4ZwWGPz89tX4+WHzy6iqCx2Az/tFhNXjczmtrN60DUx7mBbslMb9Oqe/0BM2tYokwnOvTfWrRBtjIRnIYQQKJsRburqqolPSI5xa5pBfSW8fhXsWAQ5Y4yFMpJzjIVHEruBPf6Qw99cWsxri3fgsJq57rQcJvTvgvkoPYzm+K5csinAL99eya3Tl/HctcMOCdBaaxZtLWPu2r0EDqx8dwwmpfjBwK6M7pEa9curqg9w/YtL2Fft45mrh9I5seUHDfqDYWYu28mMb4p4dXERU4Z1o7TWR5LTSoJDlrQW7YeEZyGEEJjsLgDqa2vaX3iu2QMzLof9G4wV+PpfdszDZy7byW++3sUPBpzGHyf3J8V1/JkULhsKwZDmrpmruP3V5TxzzTDqfEFmLt/Ja4t3sLW0jjirGZf9+L3S9f4Q078pYsqwLH53YcFxn7/eH+Lml5eweV8NL1w/grG90o/7HM1ldI9U7jgvn39+tYW3luzEHwozKKtllq8WoqVIeBZCCIHFYfS8euqqY9ySJla+1Zh3uXY/XP0W5J17zMNX7Kjg7lmrOa1HKo9fORirOfqBbD8a0Q1/KMy9763homnz2V7mwR8MMywnmb+d05MfDOwaVUlHvT/EtC828dxXW/m8cC+/u7CAKcOyUI30fAdCYW5/bTlLiyqYdtWQmAbnA7qlOPm/yQOYek4+Ly/aTv8MCc+ifZHwLIQQAovDDYDPUxPjljShklVGj3M4CDd8AJnDjnn4niovt01fRucEO09fPfSEgvMB14zOIRTWTPtiM1eO6MaPR2XTp0vCCZ0jzmbmrgl9mDwkk9+9u5pfv7OKd5bt5IYxuXRLcdIt2Umi00o4rPnV2yv5Yv0+Hr50ABcNzDjh9janLokOfjOhT6ybIUSTk/AshBACa1w7Cs+VO2DxP2HpvyEuGW746LhLVXsDIW6bvpQ6X5DpN50eVanG0Vw/Jpfrx+Se9OMP6NU5nrduO403lxbzyJxCfvbq8oP3xTsspLhsFJV5+PX43vx4VPYpP58QIjoSnoUQQmA/EJ7ra2PcklNQ/C0sehoKPzBu951kLH6RmHnMh2mtufvd1azcWcVz1w6jd5f4Yx7fkkwmxVUjs5k0OIOt++vYWeGhuLye4goPOyvquXpUNrec2SPWzRSiQ5HwLIQQArvLKC0I1rfynufib2HhExAKEAyH8fhD1AdCmGv3kla7Hp/FTWHW1azNuoJaR1f4zgtsOeYpt5XWMWvFLn41rhfj+rXOhS6cNgv9MxPpnyn1w0LEmoRnIYQQOJxGb2vI24p7ntfOIjzzVqpxsTucTDD8/RzNPqw8Gbqed7xn4dnkgE1VQFXUp758aBa3n9OzGRothGhvJDwLIYTA6TbCc9BX1/xPtuQFqNsPY/4f2FzHP15r+PpJ+PR+Vuje3Ov4HYN69SAn1UVOqpOcVCe9kpz81qL47Uk2yWmT/w6FENGR3xZCCCFwOI2yDe1r5p7n7Qvgo18CGlbMgIl/ht4XHn2J41AQ/vNrWPoic8KjeTrpV7xyy1jS4+2NHy+EEM3sxOfhEUII0e4omzFgUPubcWlnbzXM+hmkdIdrZhqr+r3xY3j9SqjYfuixfg/sW2/cv/RFngtdwrTku3nlVgnOQojYkp5nIYQQYLbgxwKBZizb+Pi3UL0TbpwL3UYYS2Qvfhbm/QmeHgX544zVACuLoHYvABoT94duYkWnS3ntxlEkn8IUckII0RQkPAshhADAq+IwNVd4XjcbvnsVxt5lBGcAs9Woe+53GXx6H+xaBknZRohOzmFlbRK/XgBxGQW8euMoEp3W5mmbEEKcAAnPQgghAPApB6ZAfZOes9Ljx+ErxfHBndB1MJx115EHJWbClBcP2fXZur389ONlDMhK5OUbR5LgkOAshGgdpOZZCCEEAH6TA3OoaWqetda8vbSY0//0OSueuoawvw4u+5fR23wcX27Yx89fXU7fjAQJzkKIVkfCsxBCCAACZifW0Kn3PFd6/Nz+2nJ+/c4q7khayGmhZfzRdxXPrDUTbjA3c2MWbCrltunLyO/sZvqNoyQ4CyFaHQnPQgghAAia4045PH+9uZQJj8/n03V7+eM5ydzq/TeB3LPZ1+ca/vzxeq55YTF7q72NPnbRljJufmUJPdJczLhJapyFEK2T1DwLIYQAIGyJw6arD9lXUlXP64t34A2Gj/v40lofs1bsonuai+evP53+C6ZCOIR10hM8lZTD2KXFPDB7HRMe/4prRudgNX/ffxMIhXlhwTa6JTuZcbPMqiGEaL0kPAshhAAgZHFh11601oQ1zPimiL98sgGPP4jdYj7u400Krh6VzT0X9iWu6AsonA3n3gfJuSjgihHZDMtJ4Rdvfce0LzYf8fiCrgm8fOMI0twyj7MQovWS8CyEEMJgc+LEy6qdVfx+9lq+K67kzPw0Hpo8gOxUZ/TnCdTDnF9BWi8Yc8chd/Xs5Ob920+nsdJnkwJ1tJUGhRCilZDwLIQQwmB14sTHpf9YSLLTxuNXDGbS4IwTD7Tz/2asGHj9B2A5svxCKYVZMrIQoo2S8CyEEAIApzueOHxMGZbF7y4sIMl5EnXHpZtgweMw4EfQfWzTN1IIIWJMZtsQQggBQHaXTthVkEcv7XtywVlr+OgXYHXC+IeavoFCCNEKxDQ8K6V+qZTSSqm0yG2llHpSKbVZKbVKKTW0wbHXK6U2RbbrG+wfppRaHXnMk0oK5oQQ4qQom8v4xn+SS3Svfge2fQXn3QfuTk3XMCGEaEViVrahlOoGjAN2NNg9EciPbKOAZ4BRSqkU4PfAcEADy5RSs7XWFZFjbgEWA3OACcB/Wup1CCFEu2GNDAp84QIIBYyBf8F6CDQ+L/MRQn7IGALDb2y+NgohRIzFsub5MeAu4P0G+yYBr2itNfCNUipJKdUVOBv4VGtdDqCU+hSYoJSaByRorb+J7H8FmIyEZyGEOHE9zoLePwClwBoX2ZxgtoGK4oNKkwWGXQ+m409rJ4QQbVVMwrNSahKwS2u98rAqi0yguMHtnZF9x9q/s5H9QgghTlRKD7jqtVi3QgghWrVmC89Kqc+ALo3cdQ/wO4ySjRallLoVuBUgOzu7pZ9eCCGEEEK0cc0WnrXW5ze2Xyk1AOgOHOh1zgKWK6VGAruAbg0Oz4rs24VRutFw/7zI/qxGjj9am54DngMYPnx4I1P0CyGEEEIIcXQtPtuG1nq11rqT1jpXa52LUWoxVGu9B5gNXBeZdWM0UKW1LgE+AcYppZKVUskYvdafRO6rVkqNjsyycR2H1lALIYQQQgjRZFrbIilzgAuBzYAH+AmA1rpcKfVHYEnkuAcPDB4Efg68BMRhDBSUwYJCCCGEEKJZKGNii45n+PDheunSpbFuhhBCCCHEcSmllmmth8e6HUJWGBRCCCGEECJqEp6FEEIIIYSIkoRnIYQQQgghoiThWQghhBBCiChJeBZCCCGEECJKEp6FEEIIIYSIkoRnIYQQQgghoiThWQghhBBCiCh12EVSlFL7gaImPGUaUNqE5xNNQ96X1kvem9ZJ3pfWS96b1qml3pccrXV6CzyPOI4OG56bmlJqqaz80/rI+9J6yXvTOsn70nrJe9M6yfvS8UjZhhBCCCGEEFGS8CyEEEIIIUSUJDw3nedi3QDRKHlfWi95b1oneV9aL3lvWid5XzoYqXkWQgghhBAiStLzLIQQQgghRJQkPJ8ipdQEpdQGpdRmpdRvY92ejkwp1U0p9aVSap1Saq1S6s7I/hSl1KdKqU2Rr8mxbmtHpJQyK6VWKKU+jNzurpRaHLl23lRK2WLdxo5IKZWklHpHKbVeKVWolDpNrpnYU0r9b+T32Bql1OtKKYdcM7GhlHpRKbVPKbWmwb5GrxFleDLyHq1SSg2NXctFc5HwfAqUUmbgaWAi0Be4SinVN7at6tCCwC+11n2B0cDtkffjt8DnWut84PPIbdHy7gQKG9z+M/CY1ronUAHcFJNWiSeAj7XWfYBBGO+RXDMxpJTKBO4Ahmut+wNm4ErkmomVl4AJh+072jUyEciPbLcCz7RQG0ULkvB8akYCm7XWW7XWfuANYFKM29Rhaa1LtNbLI9/XYISATIz35OXIYS8Dk2PTwo5LKZUF/AB4PnJbAecC70QOkfclBpRSicBY4AUArbVfa12JXDOtgQWIU0pZACdQglwzMaG1/gooP2z30a6RScAr2vANkKSU6toyLRUtRcLzqckEihvc3hnZJ2JMKZULDAEWA5211iWRu/YAnWPUrI7sceAuIBy5nQpUaq2Dkdty7cRGd2A/8O9ISc3zSikXcs3ElNZ6F/BXYAdGaK4CliHXTGtytGtEckEHIOFZtDtKKTcwE/gfrXV1w/u0Mb2MTDHTgpRSFwH7tNbLYt0WcQQLMBR4Rms9BKjjsBINuWZaXqR+dhLGHzcZgIsjywZEKyHXSMcj4fnU7AK6NbidFdknYkQpZcUIzq9qrd+N7N574GOzyNd9sWpfB3U6cIlSajtGadO5GHW2SZGPpEGunVjZCezUWi+O3H4HI0zLNRNb5wPbtNb7tdYB4F2M60iumdbjaNeI5IIOQMLzqVkC5EdGQNswBnTMjnGbOqxIHe0LQKHW+u8N7poNXB/5/nrg/ZZuW0emtb5ba52ltc7FuEa+0FpfDXwJTIkcJu9LDGit9wDFSqnekV3nAeuQaybWdgCjlVLOyO+1A++LXDOtx9GukdnAdZFZN0YDVQ3KO0Q7IYuknCKl1IUY9Zxm4EWt9UMxblKHpZQ6A5gPrOb72trfYdQ9vwVkA0XAj7TWhw/+EC1AKXU28Cut9UVKqR4YPdEpwArgGq21L5bt64iUUoMxBnLagK3ATzA6VuSaiSGl1B+AKzBmEVoB3IxROyvXTAtTSr0OnA2kAXuB3wPv0cg1Evlj5ymMMhsP8BOt9dJYtFs0HwnPQgghhBBCREnKNoQQQgghhIiShGchhBBCCCGiJOFZCCGEEEKIKEl4FkIIIYQQIkoSnoUQQgghhIiShGchRIeklEpSSv088n2GUuqdZnyuwZFpLYUQQrRxEp6FEB1VEvBzAK31bq31lOMcfyoGAxKehRCiHZB5noUQHZJS6g1gErAB2AQUaK37K6VuACYDLiAf+CvGAiLXAj7gwshiCHnA00A6xmIIt2it1yulfoixiEIIqMJYankzEIexTO8jwIfANKA/YAUe0Fq/H3nuS4FEjAUxZmit/9DMPwohhBAnwBLrBgghRIz8FuivtR6slMrFCLQH9AeGAA6M4PsbrfUQpdRjwHUYq4o+B/xUa71JKTUK+AdwLnA/MF5rvUsplaS19iul7geGa62nAiilHsZYpvxGpVQS8K1S6rPIc4+MPL8HWKKU+khWKBNCiNZDwrMQQhzpS611DVCjlKoCPojsXw0MVEq5gTHA28ZqvADYI18XAi8ppd4C3v3/7d0vbxRRFIbx50WBqMGjcDWUYGuLIal7VAWuAAABTklEQVRBVFTWYOrQGOR+lq0niKptUpImbP+Iqn4AQkJaVbOnYi5k2S7JZBOSSfb5qXtncs+MmpycnHvnH/HfArtJPrb5U7rf/AJ8raqfAEmOgG3A5FmSBsLkWZIeu58bz+bmM7rv5hPgV1VtLS6sqg+tEv0OOEvyZkn8AO+r6vqvi926xV46e+skaUDcMChpXd0BG6ssrKpb4Kb1N5POqzZ+WVWnVfUJ+AG8WPKsL8BhWtk6yeu5eztJnid5Rtd7PVnlHSVJ/4fJs6S11FojJkkugdEKIfaBgyRT4Ipu8yHAKMlFi3sCTIFjYDPJ9yR7wGe6jYLnSa7a/LdvwBg4B8b2O0vSsHjahiQNRDtt48/GQknS8Fh5liRJknqy8ixJkiT1ZOVZkiRJ6snkWZIkSerJ5FmSJEnqyeRZkiRJ6snkWZIkSerJ5FmSJEnq6QED6HhzUTtCsAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "first_five_plot(subset,'timestep','timestep','AggregatedAgentCICHolding',5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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Gc889x/PPP09ubi4nnHACra2tdHZ2kpGRQVdXFwChUIje3t7BfQ3o6+vb5WeW6rq6ulK+zOFwGDfs5tFpaWm7fJ/K/edUP594TYdr815T7j/ruqSmmfI7U+4/z4RzgeRfl6QFOTObjVebthzYATyE1zQ6ZZxzdwF3ARx66KGuvLx8yPr169fv9qS+iZwQOD8/ny9/+cuUlZWxdu1aKioqSE9PJz8/n4997GPcc8893HrrrZgZb775JgcffDBHH300jz32GCeeeCJvv/02b7/9NrNmzSI/Px8zIy8vj/7+fkpLSykrK+Pdd9/lz3/+M7m5uYPlHnjOyckhIyNjl/PJzs7m4IMPTsg57ikVFRUMv86pwjlHdXX1iCOK586dy+LFi0f8XKqez0Sl8rV5r9N1SU0z7XdmppxLsq9LMptWjwU2OeeanHP9wCPA4UCR39QKsAho8F83AIsB/PWFQEvs8hE+M20tWrSI888/f5fll19+Of39/Rx44IHsv//+XH755QB8+ctfpquri/32248rrriCQw45ZJfPHn/88YTDYfbbbz8uueQS1q5dO+XnISOLRCJUVlaOOi3M8Bo6ERGRkSRz+pFaYK2Z5eI1rR4DvA78DjgFeABYBzzub/+E//6P/voXnHPOzJ4Afmlm3wcWAKuA1/bkiSTSQPNmrPLy8sG0n5OTw49+9KNdtsnJyeGBBx4YcZ+x/d2eeeaZcY97yimncMopp0yg1BLLOcf27dvp7u6mtLSUgoKCIevD4TCVlZX09PSMuQ8REZHxJLOP3Ktm9jDwFyAMvInX7PkU8ICZXe0vu9v/yN3Az8ysCmjFG6mKc+5vZvYr4B1/P+c45yJ79GREfK2trWzZsoVgMAhAW1sbmZmZlJSUUFpaCkBlZeW4tzuLRqNTXlYREZn+kjohsHPuSuDKYYurGWHUqXOuD/jnUfZzDXBNwgsoEqfOzk7q6+tHrGULhUI0NjbS2NhIIBAgEhn//xmqkRMRkXjozg4ik1RfXx/3BMrxhDhQjZyIiMRHQW4Y55xuED8C1RDtyjnHpk2baGtrm5J9i4iIjCfZEwKnlOzsbFpaWvRHdBjnHC0tLWRnZye7KCkjHA6zYcOGKQlxoCAnIiLxUY1cjEWLFlFfX09TU9OEP9vX1zejg052djaLFi1KdjFSQjAYpKqqatwBC5OhplUREYmHglyMjIwMli9fvlufraiomHaT5crE9fb2smHDBsLh8PgbT4Jq5EREJB5qWhWJUzAYpLKycspDHCjIiYhIfBTkROLQ39/Phg0b6O/v3yPHU9OqiIjEQ0FOUlo0GqWrqyvuaTumwsCdGEKh0B47pmrkREQkHuojJylrYHqPgfuRZmZmkpOTQ05ODpmZmXHtIxwO09zcPGSZmZGXl0dWVta4n49Go1RVVdHb2zvxE5gE1ciJiEg8FOQkZdXW1g65qXwoFCIUCtHe3h73PkKhEJs3bx5xXVZWFvn5+RQUFFBQUEAgEBiyPhqNsnHjRrq7u3fvBCZBNXIiIhIPBTlJSVu2bNmlJi3RgsEgwWBwyo8zEaGQ8YtflPHUUyXcfTccfXSySyQiIqlMQU4SJhqNUl9fP3jD+AFmRlFREcXFxaSljd8tc/v27TQ2Nk5VMVPWyy8XcOONi6mr8+YjfPppBTkRERmbgpwkRDgcpqqqatRmyPb2durr65k9ezZz5swhNzd3xO3a2tqoq6ubyqKmnPr6TG68cTG//30RAJmZUUKhNPr6HKDbxYmIyOgU5GTS+vr6qKqq2qUmbrhIJEJzczPNzc3k5uaOOGBhIv3fphPn4Kc/LePRR+cQDg8NZ62t6fT3pzFrVoQvfWkLGRmOG25YwhTeOEJERGYIBTmZlK6uLjZu3DjhSXJ7enro6emZolKlFufghz9cyE9/Om/UbT72sRYuuKCe0tIw//M/xQCqkRMRkXEpyMluiUQitLW1UVtbqxGWY3AObr55Eb/4RRmBgOOqq2o4+ODOIdtkZ0cpKto5T15GhvfzHKeCU0REREFO4hONRunu7qajo4POzk56enoU4MbhHNx44yIeeKCM9PQo115bTXn5+E3HmZnez1VNqyIiMh4FORlXT08PGzZsSOrdFaabaBRuuGExDz00l4yMKNdfX82RR8bX/y8jw5sMOBhUUBYRkbEpyMmYent7qaysVIgbRX+/ceONi3jttYJdljc2ZpGZGeWGGzZy+OEdce8zK0tNqyIiEh8FORlVX18flZWVEx7I8F4RicCVVy7j+eeLR1yfkxPhhhs2snZt54jrR7OzRm7SRRQRkRlOQU5GFAwGqayspL+/P9lFSUnOwXXXLeH554uZNSvCdddtZN680JBtSkv7ycub+D1T1UdORETipSAnuwiFQmzYsIFQKDT+xu9Rt922gEcemUNmZpQbb6zi0EO7ErbvzEzVyImISHwU5N6jwuEwra2tI87l1tXVpRA3hp/+tIx7751PIOC47rrqhIY42FkjpyAnIiLjUZB7D3HO0dHRQXNzM+3t7Zo+ZDf893+XcuutizBzfPvbm+IeiTqWjIwMAoHA4Pv8/AwAgkFNBiwiImNTkHuPaGlpoaGhQX3edlN7e4Abb1zM00+XAHDxxbUcf3zbpPebnp7O6tWrSU/f+atYWuo9q0ZORETGoyA3wznnqK+vZ/v27XFt39CQSX19Fgce2E1OzsQ76s9EFRWF/Od/LqWlJYOsrChf+Uodp5zSnJB9L168eEiIA8jO9p4V5EREZDwKcjNYOBymurqazs7xp79obU3nxz+ezyOPzCESMbKyonzgAx0cdVQ7Rx7Zzpw5772avB07AtxwwxKee86bXmTNmi6uuKKGpUsTk7AKCwspLt516pKsLO85FFLTqoiIjE1Bbobq7e1l48aNBMep1unrM37xizLuu28e3d0B0tIcK1f2UFWVy8svF/Hyy0UALFvWOzhR7YBAwLFgQZDFi3c+li7to7h46uadCwaN7353KS+8UEQ8Xfycc5jZsGUW85pR9xOJGNGoF2rPPbeBz3xmOzFd2SYlLS2NJUuWjLguM9N7DoWMaBTS0hJzTBERmXkU5Ka55uZment7hyxzztHS0kI0OnbT6G9+U8SNNy6mqclLDkccsYNzz21g5co+mpvTefnlQl58sYjXXiugpiZnxH28886sXZZ9/vONnHPOFizBFUo9PWl89at78ec/F4y/cYJ84AMdXHppLYsXJ7adc8GCBWQOJLZh0tK8kauhkBEK7WxqFRERGU5BbppyzlFbW0tz8+711Xr77Vwuu2wFkYix777dXHhh/ZBpNEpLw5x8cgsnn9xCX59RU7NrmggG09iyJYva2izq67Oorc3m3Xdzuffe+UQixvnnNyQszLW3B7jggpW8/XYeJSX93HJLZVxNnNu3b2fu3Lm7LDdzMa8ZsZxmkJGR+JG9ubm5I5YpVlYWhEJePzkFORERGY2C3DQUDofZuHEjXV27N39ZT08al1++nEjEOPXUbVx0Uf2YzXfZ2Y599+0dcd2aNd1D3ldUFHLxxXvxs5/NA0hImGtuTufcc1dRVZXL/PlBbr+9kiVL4pvnLjs7Qm7u0DCWzGlXzIylS5fu0tw7nDeXnNHXB4WFe6ZsIiIy/SjITTM9PT1s3LhxUhP23nzzIurqslm5sofzz29IaB+s8vJ2rrtu46hhzjmoqsrhlVcKCIeNwsIwhYUR/zlMVtbQ5uCurgDf+tZy6uuzWbasl9tvr+Lgg+cwb968uMpTUVHB+9///iHLotEo27ZtY9u2bUQikcmf9ASUlZWRm5s77nYauSoiIvFQkEtBzjna29t3CRnhcJgtW7aM2/dtLL//fSGPPDKHjIwoV1+9afAuAok0Upg7/PB2XnyxiBdfLGLLlqwJ73Pffbv50Y9qOeSQFcyatWu/vIlIS0tj/vz5zJkzh8bGRpqamqasls7MyM/Pp7CwkMLCQrKy4jv3gc0U5EREZCwKcimmo6OD+vr6XQYwJEJrazrf+c5SAM45xxvUMFWGh7mBQAdQXNzPEUe0U1zcT3t7eswjQCi0a/Xgfvv1cN117RxwwN5D7oAwWenp6SxevJi5c+fS0NBAW9vkJ/gFyMzMpKCggMLCQgoKCkjbjSpPBTkREYmHglyK6Ovro76+nvb2drZuzaCiYg79/bvf5rloUZCDD+6kqMir1XMOrr56Ka2tGRx6aAef+1x8EwRPRHp6OsuXL6e5uZm2trbBMPetby1n3rwQH/5wO0cdtYMDDuiOexqPQCDAokWLKC1dnvDyDsjKymLFihVs2bKFxsbG3dpHQUHBYHjLTsDohIEg1zd1WVtERGYABbkki0QibNmyhaamJnp6jPvum899980jGExMx7UVK3p5//s7ycpyvPRSEXl5Ya66qibhc5Olp6ez9957k5OTQ0FBAe3t7dTW1lJe3s5LL/3vhI+XmZlJWVkZpaWlu1WjtTsWLFhAeno6dXV1cX8mMzOT5cuXk5eXl9CyqI+ciIjEQ0Euidra2qirqyMY7OeZZ4r54Q8XDs7p9uEP72Dx4t2rjolEjMrKHP7v//Kors6hunrnHHAXX1zHvHneXRrS0tJGrD0Kh8MTGkwRCARYtWoVOTk7j1NYWMjq1atpaGigqakp7n3l5ORQVlZGcXHxuCM7p8LcuXMJBAJs3rx53H5zxcXFLFmyJKHNvQPUtCoiIvFQkEuCYDBIXV0d7e3tvPXWLL73vb0GJ9Zdvbqbiy6q46CDusfZy/hCIeOdd3J58818/vrXWey9dy/HH99KTk4Oc+bMobi4eNQQ0tvbS3t7Ox0dHXR1dY0aagKBAHvvvfeIIzEDgQBLliyhtLR0xDtMpKWlDT4CgQBpaWmjTpK7J5WUlBAIBNi0adOIA0sGzmuk22slSlaWF2LVtCoiImNRkNuDotEo27dvp7GxkebmNG69dSlPPlkKwNy5/ZxzTgMf+1hL3M2QaWlppKenj1pzlZUFhx0W5rDD2oA28vLymDNn37hGfebk5JCTk8O8efOIRCJ0dXXR09Mz+AiFQoM1ceNNp5GbmxvXlBuppKioiFWrVo14n9qSkpIpD5wDlZuqkRMRkbEoyO0BkUiEpqYmtm3bRl9fmIcfnsOddy6gqyudzEzH175mfPObGeTlLSMcXkQoFKK/v3+XWjAzIz09nfT0dDIyMvZY37FAIDA4fUbsOUWjUTIyMvZIGZIhLy8v4X3f4jVQI6cgJyIiY1GQm0LhcJjt27ezfft2IpEI//u/s7juulVUVnq1U0ce2cWPf5zLPvvsrFEbCGqpLhAITEnfMPGoj5yIiMRjz1TpjMLMiszsYTN718zWm9mHzKzYzH5tZpX+82x/WzOzH5hZlZm9ZWbvj9nPOn/7SjNbl7wzGuqdd97xm1GNb397KWedtS+VlbksWBDk5ptr+PWvM9lnn6ReAklRmn5ERETikeyqn1uAZ51zp5hZJpALXAr81jl3rZldAlwCXAx8DFjlPw4D7gAOM7Ni4ErgUMABb5jZE865xMzuOgn9/VH++79Lue22hXR0pJOREWXduq184QvbWLNmb7Kykt+xX1KTph8REZF4JC3ImVkhcBTweQDnXAgImdlJQLm/2U+BCrwgdxJwn/M6jv3Jr82b72/7a+dcq7/fXwPHA/fvqXMZyRtvwLp1q/jb37yBBWvXtvONb9SxZEmQZcuWTfo2UzKzqWlVRETikcwaueVAE/BfZrYGeAO4AChzzg1Mr78VKPNfLwRiZ2qt95eNtjxp6uth7VoIh2cxd26Iiy6q45hjdmAG8+bNo6SkJJnFk2lATasiIhKPZAa5dOD9wHnOuVfN7Ba8ZtRBzjlnZgm7m7mZnQ2cDVBWVkZFRUWidk1XV9eQ/X3iEysJBCKcfno1eXmOzk7DzOjs7KSysjJhx5WxDb8u00Vj41JgORs2bKaiYhOws5p6Op7PSKbrtZnJyv1nXZfUNFN+Z8r955lwLpD865LMIFcP1DvnXvXfP4wX5LaZ2XznXKPfdDpwU9AGYHHM5xf5yxrY+b0YWF4x0gGdc3cBdwEceuihrry8fKTNdktFRQWx+/vwh8Gb3m1pwo4hEzf8ukwXr73mPc+bt5Ty8qHfoel4PiOZrtfmvfiu118AACAASURBVEDXJTXNtN+ZmXIuyb4uSRsy6ZzbCtSZ2T7+omOAd4AngIGRp+uAx/3XTwBn+KNX1wLtfhPsc8BHzGy2P8L1I/6ypErC3aVkBlEfORERiUeyR62eB/zCH7FaDXwBL1z+yszOBDYDn/G3fRo4AagCevxtcc61mtl3gD/72/3HwMAHkelKfeRERCQeSQ1yzrn/xZs2ZLhjRtjWAeeMsp97gHsSWzqR5Nk5/YgDVL0rIiIj02y0IilINXIiIhIPBTmRFKQgJyIi8VCQE0lBQ5tWRURERqYgJ5KCNGpVRETioSAnkoLUtCoiIvFQkBNJQQNNqwpyIiIyFgU5kRSkplUREYmHgpxIChoIcqFQcsshIiKpTUFOJAWpj5yIiMRDQU4kBe2cfiS55RARkdSmICeSgnb2kdPtuUREZHQKciIpSH3kREQkHgpyIikotkbO6eYOIiIyCgU5kRSUlgYZGV6CU62ciIiMRkFOJEVpLjkRERmPgpxIisrM9J41BYmIiIxGQU4kRWkKEhERGY+CnEiKysry+sgpyImIyGgU5ERSVFaWN4ecgpyIiIxGQU4kRQ00raqPnIiIjEZBTiRFadSqiIiMR0FOJEVpsIOIiIxHQU4kRWVne33k1LQqIiKjUZATSVFqWhURkfEoyImkKAU5EREZj4KcSIpSkBMRkfEoyImkKE0/IiIi41GQE0lRqpETEZHxKMiJpCgFORERGY+CnEiKUtOqiIiMR0FOJEWpRk5ERMajICeSohTkRERkPApyIilKQU5ERMajICeSotRHTkRExqMgJ5KiVCMnIiLjUZATSVEKciIiMh4FOZEUpaZVEREZj4KcSIoaqJHr63PJLYiIiKQsBTmRFKWmVRERGY+CnEiKGmhaDQZVIyciIiNTkBNJUTubVpNbDhERSV0KciIpSk2rIiIynqQHOTMLmNmbZvY//vvlZvaqmVWZ2YNmlukvz/LfV/nrl8Xs45v+8r+b2UeTcyYiiaUgJyIi40l6kAMuANbHvL8OuMk5txJoA870l58JtPnLb/K3w8xWA6cC+wPHA7ebWWAPlV1kymj6ERERGU9Sg5yZLQI+DvzEf2/A0cDD/iY/BU72X5/kv8dff4y//UnAA865oHNuE1AFfHDPnIHI1FGNnIiIjCc9yce/GfgGkO+/LwF2OOfC/vt6YKH/eiFQB+CcC5tZu7/9QuBPMfuM/cwQZnY2cDZAWVkZFRUVCTuRrq6uhO5PEmM6X5fOznTgCHp6IlRUvES5v3y6ns9w0/nazFTl/rOuS2qaKb8z5f7zTDgXSP51SVqQM7MTge3OuTfMrHxPHNM5dxdwF8Chhx7qyssTd9iKigoSuT9JjOl8XXp7vedIJH3IOUzX8xluOl+bmU7XJTXNtN+ZmXIuyb4uyayROxz4pJmdAGQDBcAtQJGZpfu1couABn/7BmAxUG9m6UAh0BKzfEDsZ0SmrZ3TjxjOgSW3OCIikoKS1kfOOfdN59wi59wyvMEKLzjn/hX4HXCKv9k64HH/9RP+e/z1LzjnnL/8VH9U63JgFfDaHjoNkSmTlgbp6d5kwP39SS6MiIikpGT3kRvJxcADZnY18CZwt7/8buBnZlYFtOKFP5xzfzOzXwHvAGHgHOdcZM8XWyTxsrIgHPYGPGQmuzAiIpJyUiLIOecqgAr/dTUjjDp1zvUB/zzK568Brpm6EookR3Y2dHd7U5Dkj7+5iIi8x6TCPHIiMgpNQSIiImNRkBNJYQpyIiIyFgU5kRQ2cHcHBTkRERmJgpxICts5BUlyyyEiIqlJQU4khWVlebPHqUZORERGoiAnksLUtCoiImNRkBNJYWpaFRGRsSjIiaQwjVoVEZGxKMiJpDAFORERGYuCnEgKUx85EREZi4KcSApTHzkRERmLgpxIClPTqoiIjEVBTiSFqWlVRETGoiAnksLUtCoiImNRkBNJYWpaFRGRsSjIiaQwBTkRERmLgpxIClMfORERGYuCnEgKUx85EREZi4KcSApT06qIiIxFQU4khalpVURExqIgJ5LC1LQqIiJjUZATSWFqWhURkbEoyImkMAU5EREZi4KcSArb2UfOJbcgIiKSkhTkRFKY+siJiMhYxg1yZvbbeJaJSOIpyImIyFjSR1thZtlALlBqZrMB81cVAAv3QNlE3vM0/YiIiIxl1CAH/BtwIbAAeIOdQa4D+OEUl0tEUI2ciIiMbdQg55y7BbjFzM5zzt26B8skIj6NWhURkbGMVSMHgHPuVjP7B2BZ7PbOufumsFwiws6m1VAoueUQEZHUNG6QM7OfAXsB/wtE/MUOUJATmWKqkRMRkbGMG+SAQ4HVzjlNZCWyh8X2kXPs7KgqIiIC8c0j9zYwb6oLIiK7CgQgEHA4Z4Tj+n+XiIi8l8Tzl6EUeMfMXgMGG3icc5+cslKJyKDsbOjuhiBZZBBOdnFERCSFxBPkrprqQojI6LKyvCDXRzZ5dCe7OCIikkLiGbX64p4oiIiMbHDAA1nJLYiIiKSceEatduL1swbIBDKAbudcwVQWTEQ8g3d3UJATEZFh4qmRyx94bWYGnASsncpCichOgyNXyU5uQUREJOXEM2p1kPM8Bnx0isojIsNkZXmTjqhGTkREhounafXTMW/T8OaV050fRfYQ9ZETEZHRxDNq9RMxr8NADV7zqojsAeojJyIio4mnj9wXpuLAZrYY7zZfZXiDKe5yzt1iZsXAg3j3dq0BPuOca/P7590CnAD0AJ93zv3F39c64Fv+rq92zv10KsoskgzqIyciIqMZt4+cmS0ys0fNbLv/+G8zW5SAY4eBrzrnVuMNnjjHzFYDlwC/dc6tAn7rvwf4GLDKf5wN3OGXrxi4EjgM+CBwpZnNTkD5RFKCmlZFRGQ08Qx2+C/gCWCB/3jSXzYpzrnGgRo151wnsB5YiNdsO1Cj9lPgZP/1ScB9/oCLPwFFZjYfb+DFr51zrc65NuDXwPGTLZ9IqlDTqoiIjCaeIDfHOfdfzrmw/7gXmJPIQpjZMuBg4FWgzDnX6K/aitf0Cl7Iq4v5WL2/bLTlIjOCmlZFRGQ08Qx2aDGz04D7/fefBVoSVQAzywP+G7jQOdfhdYXzOOecmblRPzzxY52N1yxLWVkZFRUVido1XV1dCd2fJMZMuC6trfsA8wdr5Kb7+QyYCddmpin3n3VdUtNM+Z0p959nwrlA8q9LPEHui8CtwE14gxJeARIyAMLMMvBC3C+cc4/4i7eZ2XznXKPfdLrdX94ALI75+CJ/WQM7vxcDyytGOp5z7i7gLoBDDz3UlZeXj7TZbqmoqCCR+5PEmAnX5aGHvOeBIDfdz2fATLg2M5WuS2qaab8zM+Vckn1dxm1adc5tds590jk3xzk31zl3snOudrIH9keh3g2sd859P2bVE8A6//U64PGY5WeYZy3Q7jfBPgd8xMxm+4McPuIvE5kRNNhBRERGE8+EwMuB8/CmAxnc3jn3yUke+3DgdOD/zOx//WWXAtcCvzKzM4HNwGf8dU/jTT1ShTf9yBf8crSa2XeAP/vb/YdzrnWSZRNJGeojJyIio4mnafUxvJqzJ4Foog7snHsZsFFWHzPC9g44Z5R93QPck6iyiaQS1ciJiMho4glyfc65H0x5SURkRJp+REazfft2duzYsdufX7hwIbNmzUpgiURkT4snyN1iZlcCzwPBgYUDc8CJyNRS06oMF41G2bx5M62tk+tF0tPToyAnMs3FE+Teh9eX7Wh2Nq06/72ITDE1rUqsYDDIxo0b6e3tTci+RGR6iyfI/TOwwjkXmurCiMiu1LQqAzo6Oti0aRPhcDgh+1OQE5n+4glybwNF7JzPTUT2INXIzVzBYJCtW7cSiUTG3TYajdLe3p7w44vI9BZPkCsC3jWzP7Ozj5xzzp00dcUSkQHqIzfzRCIRGhsb2b59O96A/ORQkBOZ/uIJclfGvDbgSODUqSmOiAynGrmZwzlHU1MTjY2NCWsenYxoNEp/fz8ZGRnJLoqI7KZxg5xz7kUzOxj4HF5/uU3AnVNdMBHxqI/c9BMKhaiuriYaHTr1Zjgcpr+/P0mlGlkwGFSQkwkLhUJkZmYmuxjCGEHOzPYGPus/moEHAXPO/eMeKpuIoKbV6SYSiVBZWUlfX1+yixKXUEjj2CR+zjm2bt1KY2MjpaWlLFmyJNlFes8bq0buXeD3wInOuSoAM/vKHimViAxS0+r0EY1GqaqqSrkQFw5DdXUOVVU5bNzoPVdV5ZCe7njmmR0UFye7hLI7uru72b5913GIWVlZFBcXk52d2P/89fX1UVNTQ3d3NwBNTU1EIhGWLVuGd/t0SYaxgtyn8frC/c7MngUeYPRbaonIFFHT6vRRU1NDV1fXpPbhHLz7bi5tbbv+8zxnTj+LF/eRnT3+AIloFP761zyefbaY3/xmNu3tI/9z//LLxvveN6kiSxJ0d3dTWVk56ojnxsZGcnNzKS4upri4eNLN59u2bWPLli27dBdobW0lGo2yYsUKhbkkGTXIOeceAx4zs1nAScCFwFwzuwN41Dn3/B4qo8h7mmrkpoe6ujra2tomtQ/n4PvfX8T995eNuo2ZY8GCEMuW9bF8eS8lJWGysqJkZkbJzo6Smen4299m8dxzs9m6ded3ZuHCIHvv3cPKlb3stVcvFRVFPPtsCZs2TarIkgRdXV1UVVWNO21NT08PPT091NfXk52dvdtBKxKJjNkEv2PHDiorK1m5ciVpaWm7dQzZffEMdugGfgn80sxm4w14uBjvll0iMsXURy61DK+RAK+JaaQmrolwDm66yQtx6elRDj20k9i/u9Go0diYSUND1uDjD38oHHOfZWUhjj++leOPb2Xlyt4h+9u+PZNnny2htlZ/eKeTeEPccFPd3N/Z2cmGDRsoKCgYstzMmD9//pQe+70unulHBjnn2oC7/IeI7AFqWt19NTU1tLS0DFkWCATYa6+9yM/Pj3s/HR3d/O533Tz9NBQX93LKKc0JLadzcMstC/nlL70Qd/311Rx11MiT//b3G3V1WdTUZFNTk017ezqhkNHXl0YwmEY4nMH8+VHKy7eyZk0Xo1WQLFjgzSFXX59BNBpVTco0EI1GqaysHPE/E4nw5JMl3HdfGRdcUM8RR3RM+PPd3d2D/edizZ07l0AgkIgiyggmFOREZM9T0+ru6+zs3GVZJBKhqqqK5cuXU1RUNOpnW1uDPPJIJ08/ncaLL+bT2rrz5vKzZ4c55pgdCSmjc/CDHyzk5z+fR3p6lOuuGz3EAWRkOFas6GPFil1rWGbNmsWqVasIBAK0tUWpqwuOOt3JggVeU9mWLZkEg0FycnIScj4yNbq7uwkGg1MW4h57rISrr14GwGWXreC++9azdGliJowOh8MKclNIQU4kxalpdff09fWN2q8nGo1SXV3N0qVLKSkp2WXdc881c9pps2ltLR1cvmBBkL326uX3vy/iu99dypo1XZSWjjyp74YNOTz1VAkdHQE6OwN0dqbT2Rmgv9+YPz/EkiV9LFoUZMmSIK+9ls/Pfz6PQMBx7bXVfPjDu3cbrtgQBzB79mwKCgqor6+nuXnXGsSBGrktW7IIBjsV5FJYX18fVVVVU3YXkNgQt2JFL9XVOXz963vx05++S07O5INjOBwmK0v/EZ0qCnIiKU41crunra2Dv/wlj97eoU2GgYBjzZpucnKi1NTUEA6HKSsr8z/TxpNPtvLv/76M7u4Aq1b1cNxxbRx11A722qsP5+C881bx6qsFfOc7y7j55iqG9x9/661ZnHvuKnp6Rq6B2LQph1deGdq3bSDElZcnJsTt3G+ApUuXUlxcTHNz85AgMHs2FBSE6ehIp74+xBiVk5JE/f39VFZWTtmdQGJD3IUX1vGpTzWzbt2+VFfncPXVS7n66k27fMcnKhXuYjKTKciJpLj0dO8PfSQSIExAv7Rx+tGPjG9/e58R182dG+Kii+o45pgd1NfXEwqF6Ovr4ze/cVx00V709QU49thWvvOdGjIydoYfM7jyyhr+5V9W84c/FPLoo6V8+tM7a7vWr8/lvPO8EPeP/9jGEUe0k58fIS8vQn5+hEDAsWVLJrW12dTVZVFXl0VPT4Azz2zc7Zq4vLw8Vq5cOWbTVX5+/oh9Ahcv7uNvf0tn48YoBxywW4eXKTTQDWCqJm0eHuJOO80bsHPDDdWsW7cvzz1XzPve18WppzZN6jgKclNLfxNEpoGsLOjp8Wrl9Es7Pucczz7r1WDuv383hYU7/5Bs3ZpJdXUOl1yyF4cd1sE3vlELbOfllwv4xjdWEgqlceKJLfzkJ9DXV7JLs+Tcuf1cckktl122gptuWsQHPtDJ4sVBKitzOPfcVXR3BzjmmDauuaaa9BEu1t579wITD21FRUW7hDEzo6SkZLcHKixeHOZvf4Pq6qlpsnsvcM7R3t5Ofn5+QvuBOefYuHEjPT09cX8mGoV77pnHK68UEokYznnLotFdq9Scg8rKXAAuuKB+MMQBLF/exxVX1HDJJXtx002L2W+/Htas2XUQQ7wU5KaW/iaITAMDQa6PbGaNv/l7XlNTF2++mQfAzTdXMXv2zj8kkQg89lgpt922kFdfLeDUU1dz/PGtPP10CZGIccopTdx5ZzolJbOBEpxzu4x8/ehH23jxxVaef76YK69cxqWXbubf/30V7e3pHHnkDq6+etOIIW53zZ07l8WLFyduh75Fi7wpLDZv1kSuuyMajbJx40Y6OjowMwoKCigqKqKwsHDSE/DW1NSMOFhnNOEwfPvby3jmmZJxtx1g5jjvvAZOP33bLuuOPXYHn/vcNn75yzIuuWQF55zTEFcTa3FxmCVL+pg3L8RArlWQm1oKciLTgKYgmZjf/jZEKJTPvvt2DwlxAIEA/NM/NXP00Tu49daFPPFEKU8+6Q1qOP30bfzgB9kUFe3sw7Zs2TKcc7S2tg7Zz8UX1/Lmm3m89VYeZ5yxH6FQGocd1sG111YPaY6drIULFzJv3ryE7S/WkiVekKut1YjCiQqHw1RVVVFdHaKysoDDDuukvb2d9navtnUyE/A65yY071swaFxyyQp+//sicnIifOtbm1m4MIgZpKV5gW2kohQVhSkrG3lUM8D559ezfn0ub76Zz1VXLZ/QOWRkRFm8OMiSJX186lNhzj9/Qh+XCVCQE5kGsrK8f4UV5OLzm994z4cdNnqNxuzZYa64YjMnndTM3XfPZ+3aTq64ooDCwoJdth0Ic7F3bigsjHDllTWce+7ehEJpvP/9ndx4YxVZWYkJcWY24qjaRFq61BuR2NCQSSgUInPKjjSz9Pf3s2HDBn7zm0wuv3w1nZ3plJT0c8opTXz6002UlIT32P12u7rS+OpXV/LGG/kUFoa55ZZKDjgg/ubYsaSnw/XXV3PvvfNobY0vLjQ1ZVBbm8327V4XhurqHP70pyjnncekB03IyBTkRKYBTUESv0gkwssve1NpHHbY+JOarlnTzW23bWLlypXk5eWNuI2ZsXz5cpxz7Nixc/64tWs7ueSSzWzYkMsFF9THdQ/UeKSlpbFixQoKC8e+c8NkDQS5xsbJB7lwOMzmzZtH7NOVk5NDQUEBhYWFcU1DEQqFaG9vp6Ojg56enl2m3cjJyWH58uWkT7D92jlHQ0PDiPfDzczMJCcnZ/Dxwx9msW0bfPnLsDymMqqvr4+//72S228v4a67FgAwe3Y/LS0Z/OhHC7j77nkcd1wbJ5/cPKRv5kSlpzuys73brmVlObKydp0GZMeOAOefv4p33plFaWmIH/6wkpUrExsgZ88O85Wv1E/4cz09adTWZvHFL+5LX18aPT0wS/1CpoSCnMg0oClI4ldV1cmGDUVkZUVZs2bsG9hnZGQwd+5cSktLxw0FZsaKFSvYvn07TU1NBIPePGy7e5eHQCDAnDlzKC0t3aWTfFpa2h6508LixTuDXE9PNyPH2PF1dHRQU1Mz6uTDA8Gsrq6OrKwsCgoKRgx0/f39tLe3j1ub1d/fz/r161m5cmXc89/19/dTXV09YogDb8LdgRrXt9/O5Wtf2w+AG290HH98J2ee2cr73tfP1q1BLr10MS+/XISZ48tf3sLnP7+VN97I58EH5/DSS0U880zJhPqqxSstbWigHRjEsHBhkNtu28CiRVMzunV35OZG2XffXvLzI7S0pNHeriA3VRTkRKYB9ZGL33PPeWHi4IM7KSmZRUZGBsFgkGAwOHh/ypycHMrKyiguLp5QPyYzo6ysjLKyMtrb22lqahrsExWvzMxMysrKKC0tTfptsfLy0igp8WqTNm/uZ+4EP++co76+fkL3mQ0GgzQ1TW46C/DC4bvvvjvuHTrAC2nV1dVxT+Nx331en8QVK3rZvDmbp58u4OmnC/jgBzsG73NbWBjmmmuqWbvWa77/wAc6+cAHOtmyJZOHHprDq68WEInsbh85CId33nZt4Hmk0afve18XN9ywcdTJqZNt1qwILS0ZtLfDggXJLs3MpCAnMg2oRi5+v/2t98/a2rUdLFiwYMiUHZFIhP7+frKzJ99EXVhYSGFhIcFgMO7RhRkZGRQUFOx2J/hECwQCLFgQpKUlg+rqKB+YwGf7+vqorq6mt7d3yso3noFRowsWLBj1xuwtLS1s3rw57rsibN6cxe9+V0RGRpTbb99AOGw88MBcHnlkDq+95vWf3Hffbq6/vnrwNmexFiwIccEFDUDDbp/XSJyDxsZtg5NXD0j1O1/l53v/eWprc0BqfO9nGgU5kWlAfeTi09cX5I9/9Npv1q7tIi9v0ZD1gUAg4fd8zMrKmra3H0pLS2P+/BD/93+waVP8n2tpaaG2tnbK7vs5UVu2bKGjo2OXKT8ikQgdHRO7+fvPf16Gc8bHP948WMt14YUNnHnmVh59tJTe3jTWrduasP6Q8TLzQluqB7fh8vIGglwUmGaFnyYU5ESmATWtxuf117tpaiqmpKSfgw9OT5mar1SVlpbGwoXe4ITNm8dv5o1Go9TW1u4yr14qGK3v20Q0N6fz1FMlmDlOO23o3Gr5+RHOOGPX+dZkbANBrrU1goLc1FCQE5kG1LQan+ee82qIPvjBjhGnEZGh0tLSBpsHGxrG/nPQ19fHxo0b99i0Gsnw4INzCYXS+Md/bGPZsmCyizMj5Od7tZpejZxMBQU5kWkgFZtWYwcPDDAzsrKyktKJ3znHiy96TWuHHdZBQcHUTKI7k3hNq15gaWgY/T8JO3bsYNOmTSnTlDoVurrSeOihOQCqeUugnU2rug3cVFGQE5kGUqVpNRgM0traSmtr65g1M9nZ2eTk5JCbmzv4mOicXxO1Y0cPr7/uTaDxD//QG/e0FO9lXtOqVyO3ZcvIs8iFw2FqampmdIgD77ZtXV3pvP/9nbzvfbt/X1EZaiDI7dgxs78/yaQgJzINTEXT6sBoy3hG80UiEXbs2EF3d3x/4Pr6+ujr6xtyJ4Ts7GxmzZpFXl4es2bNwjk36rxju+O3v+2ht3cWK1b0smpVbsL2O5OlpaUxb14IM8f27Zn0k04GQ6exaGho2KXmdabp7zd++UtvNOgZZ2xNcmlmlp1BLskFmcEU5ESmgUQGuR07dtDU1DTh0XyTNRDuBjrK9/b28tZbbyVs/888401S5TWrqn9cPNLS0sjIcMyd28+2bZnUsZgV7By+2tPTQ3Pz7k14PJ08+2wx27dnstdevRx++J79vZjpBoLcBKdblAlQkBOZBmL7yMVbKzZQ0+acwzlHT08PTU1NcU+KOt28+qoX3g47rIP8/GXJLcw0MTAVy4IFQbZty2QTy4cEubq6umQVbUoEg8addy6gpWXoNCVvvOHNNXj66Vt1P9AE2xnk9IOdKgpyItNAbB+5d999N7mFSUEdHQHWr88lPT3K4YeHd5lPTEY2MChlwYIQb74Jm9h5U9HW1taETOmRSu65Zz4/+9nIg2Dmzw9y/PGte7hEM99AkOvoUJCbKgpyItNAqk0/0tER4KWXCunr2/3RqV1dmcyenU96uiMQcKSnO9LS2K0akb//PYdo1DjooC7mzcsf/wMyyJuCxBu5WsMywJsvrr5+4jdKT2W1tVncd5/XD+7CC+soKhraF/Dgg7uY4vE470kDd3ZQkJs6+tqKTAOpMv1IMGg89NAc7rlnPh0dqffPh/rHTVzsXHIDNXKNjY0JHYiyuzZtymbDhhyOO66Nycxo4xxcf/1i+vvT+MQnmjnttPjvDSuTM1Aj19mZ3PsKz2Sp9y+xiOwi2dOPRKNeh/A77lhAY6NXhoMO6mTFit2fHLa7u5fMzFzCYSMcNiIRYzIzXOTnR/inf2omL2/ke27KyGJr5AaC3LZtyZ9H7bHHSrj++iWEQmm8/noTl15au9v91154oYg//amQ/Pww552X2HugytgU5KaegpzINJDoplXn4Omni3n99dGbIRsbn+b119dRXv4KW7asYcMGb0qPvfbq5bzz6jn88I5JdQx/5ZVXiEajHHHEEYPLRpprLhKJxH3D8/z8/IRPRnzWWWdx0UUXsXr1ar773e9y6aWXAlBTU8OJJ57I22+/Pebn490uWdLS0rj11tOAOwabVgd+3meffTbNzc1kZWWRkZHBZZddxj777BP3vs8++2wuvPBCVq9ePWR5OBzmjjvu4IUXXiA3N5fMzEzOOussDj/8cIJB4/rrl/D446UABAKORx+dQ2am42tfq5vwd66nJ43vf38xAEceeTOf+cw1zJ07l97eXhYuXMiXvvQl1qxZM+JnH374YbKzsznxxBMndlAZNGuWF+S6uwOEw1HS0xXoEk1BTmQaGAhyv+UYih9I45hjdjBnzvhNX++++y51dXUcd9xxg8s2b87immuW8pe/jNeX7CngCCoqngU+xNy5If7f/9vCxz/ekpAbd1dXV9PQ0MARRxxBWloaS5cupbi4eJftOjs72bhxY1xzmU1Fs+pPLbZMsgAAIABJREFUfvKTwdexQW6ywuHwlE+SHI+0tDQyM6OkpTkaowvoHdZ8f/XVV7N69WqeeOIJbrnlFm6//fZJH/OOO+6gubmZBx98kMzMTFpaWvjLX/5CQ0MmF1+8gnffnUVWVpRvfGMTc+dGueiivXjwwblkZUU577yGCYW5n/xkPtu2ZbJ6dTeHHNLFrFnHcfHFFwPw+uuv841vfIM777yT5cuXD/lcOBzmlFNOmfS5TpVIJDI46jiVpadDbm6Enp4AbW39zJkz8sTTsvuS/6+IiIzr/e+HfDrYzDK+9z248cbFrFnTxbHHtrF06dB7QgaDPfz970/w/PP30NBQT0lJCccddxz9/cZ995Vx993zCYXSmD27n3Xrtg52Ro4VCnVz++0vcvrpv+SBB87i619fx5FH7iAzM8L111/Pn//8Z8rKykhPT+eTn/wkxx57LOvXr+emm26ip6eHoqIirrrqKkpLSzn77LM54IADeP311+nq6uLyyy/ngAMO4Be/+AX9/f289dZbXHrppXR0dHDBBRcA3q2+XnrpJfLz88nPz2efffahsrKSRx99lJ///OeYGStXruQ73/kOL730EnfffTf9/f0sWLCABx54gLKyMq666ipqa2uprq6mtraWCy+8kPPPP3/IeT700EP88Y9/5Pvf/z633HILt9xyC9XV1VRXV3P66afzhz/8gfLycr73ve/x8MMP09vby0EHHcT+++/PNddcQyQS4Utf+hKvvPIKCxcu5PHHHycnJ4c33niDL37xiwB85CMfGTzevffeyyOPPEJXVxeRSISnnnqKk046iba2Nvr7+7n66qs56aSTuOGGG8jKyuL888/nK1/5Cn/961954YUXeOGFF7j77v/f3p2HV1Xd+x9/fzOTOSEQAkSSMImxKEodC43WCq2KCtY6FqdyFbxqtc73qnW6FvX25zxQcGjVOmGtVsWJCF5LmUREVBIQZEzISObhZP3+OCchgYRBTnKSk8/refIkZ5999lk7Oyv5ZK2115rNCy+80OY87rzzTt566y1qamo47rjjeOqppzAzcnJyOProo5k/fz5lZWXMnj2bcePGUVNTw8UXX8wXX3zB4MGDqauro2/fBrZvhw0MafdncPTo0fzlL38BvHMAzpw5k7Vr19LY2Mi0adPIycmhtraWP/zhD+Tl5ZGRkUFd3e7rldbW1vL3v/+dN998k7CwCLZujWDDhgwKC0fxP/+Txo4dicTGXkpy8nsMGXIDq1atom/ff7JtWwTPP38ZkZFn85vfrOOmm26isLAQj8fDZZddxsknn8wjjzzCggULCA0N5ZhjjmHSpJt44YVUzBw33vg969a1LcvYsWM588wzmTt3Ltdddx3Tpk1j5MiRrFixggkTJlBVVUV0dDQXXngh06ZNY8SIESxfvpzGxkZuu+02Dj300F3qXh333Xcfq1evJjQ0lGuvvZaxY8fi8Xh45JFH+OyzzwgJCeGMM87gnHPO4auvvuLBBx+kpqaG8PDwllbK1atXt4TNa665hgsuuICxY8cyZcoUpkyZwuLFi7nxxhtZuHBhm/O95ppr2r12gRYb6w1yJSUe+vULdGmCj4KcSA9wyCGwicG8zanMynmMzz5LYMWKOFasaN2qtgp4CHgRMMA731x1dQqzZw/ggw+SyM/3do+edloRV1+9icTE9lu53n33XU444WguuSSBTz+NY/Dgz4iKGsWHH37Mli1bePXVVykpKeFXv/oVkyZNorGxkfvvv58HH3yQpKQk3n//fR577DFuv/12wNt68Pzzz/Ppp58ya9YsHn/8cc4//3wKCwt59tlnCQ8P57TTTuOxxx7j+OOPp7KykqionS1Dffr0oampiWeeeYbZs2eTmJhIuW+G0cMPP7zlGEuWLGHmzJk8+OCDgLdFcv78+VRUVDBy5EiuuOKKNlOTjBs3jpkzZwKwcOFC+vbty+bNm1m4cCHjx49v8z257777ePTRR1mxYgXg7TLNy8vjpZdeYtasWZx99tm8/vrrXHDBBVx88cU8+uijjB8/nuuvv77NcZYvX87KlStJTk6msbGRN954g/j4eIqKinzhYxLjxo3jwQcf5KqrrmLp0qXU1dXR0NDQbrkArrzySm677TYALrzwQt5++21OO+00wNuytHjxYt555x3+8Ic/8OGHH/LEE08QHR3N119/zVtvvcWZZ57JyJH1bN/uvXO1vb+1n332GTk5OQDMmTOHH//4x9x+++1UVFQwdepUjj76aF5//XWioqJ47bXXyMvL44ILLtjtON9/v5GwsMFceulRbNoUSV3drl1tVVx77SAmTXqxpXyvvvosH38cz+23n8usWT9lw4bVREUN4N57n/K+oqqClStref/9T3joobcwM6qqdvDHPx6Ex2OceeZ2srOrdwtyAAcffDBz585tedzQ0NASWJ966qk2+9bW1vLiiy+yfPly7rzzTl555ZU2z7/66qsAvPzyy6xfv54ZM2Ywd+5c3nrrLbZs2cKLL75IWFgY5eXlNDQ0cMstt3DvvfeSnZ1NZWUlkZF7HjpRW1vLoYceyu9+9zvKysq48847ef311zEzKioq9vjaQIqN9VBYCCUlwb1CSKAETZAzs4l4/4qFAn92zt0X4CKJ+FU8FZzHS4x84DqqqkJYuDCB+fOjWL/+LbZufYTa2nU0NdUDbX9ZVlSk8cQTgwAYPLiWW275nqOO2vMv/Xnz5nHOOecA3halefPmMWrUKL744gtOOukkQkJCSElJYezYsYA31Kxdu5YZM2YA3uCWkpLScrwTTjgBgFGjRrFlyxbAOxltYmJiS7A6/vjjufbaazn//POZPHkygwcPblOmhQsXcu6555Kenk5FRQUJCQkAFBYWcvPNN7csB9a6i+yUU04hMjKSyMhI+vfvT0FBQZvjDhgwgMrKSioqKti4cSPnnXceCxYsYOHChUyePHlvl4TMzEwOP/xwAI488kjWr19PWVkZZWVlLYHrwgsv5N133215zc9//vOWLmTnHLfccgsLFiwgJCSEzZs3U1BQwJFHHsmyZcvYsWMHkZGRHHHEESxdupSFCxfy8MMP71aO+fPnM3PmTKqrqykpKSE7O7slyDWfR3P5ABYsWNDSOpmdnc2wYcNISfFOx/EdmW2C3H/913/R2NhIdXU1L774IgCLFi3ik08+4a9//SvgbYnatm0bn3/+ecvPzfDhwxk2bNhuZf3440SKi8MpLvauhZuSUs9BB9Vx0EG1HH54JXfdFcopp+QAsGLFCk444QT69OnDKac08NFHJ7JgwQLef/8XwL189NHzwKnAOKARiOfss//Xt+1UIIKEhEZmzOj4Boddx1+2HoawqwkTJgBwxBFHUFVVRUVFBXFxO/+ZWrFiBb/+9a8ByMjIIC0tje+//55///vfTJkypaUrPSEhgfz8fPr27Ut2djYAsbGxHb5vs5CQEE488cSW/SMjI7nzzjsZN24c48aN2+vrA6X5hoeSEq232hmCIsiZWSjwGPBzYBOwxMz+4ZxbHdiSifhfdnY2eXl5bNw4k0WLvN2M1dUdT9yamrqZ9PSZpKQk8MtfGsnJCRQXJ5GQkNDuGK3y8nKWLFlCfn4+ZkZTUxNm1tLt2ZGsrCwWLlxIdHTbdU5jY2PJzs5m9OjRFBUVERoayujRo3n11VexVoOdbrrpJk455RTeeecdjj/+eObNm8fBBx/c5lghISEMHz6coqKilkXc//M//5Pp06dz1llnsXjxYu64446W/Vu3cISGhtLY2HbuMIDjjjuOZ555hpEjRzJu3DjmzJnDv/71r5ZWvT3Z9fg1NTV7fU1MTEzL1y+88ALbt29n2bJlhIeHk5GRQW1tLeHh4WRmZvLss89y3HHHMXr0aObPn09+fj6jRo1qc7za2lqmT5/O0qVLSU9P54477qC2dufdxM1l7Oj8m28O6ddv5xQkR7V6/u6772bUqFE89NBD3H///dx///0455g5cyYZGRl7Pd/W1q+P5PnnfwJ8z3XXrWLSpAZiYtr+cf/jHyM6HPs1fHgNsbEl5OcPpqbm/6ipmUdFxS306ZNDYuItOPcJNTXzqa5+g8bGhxk06F2uuGJzhy3PAN9++22b8+jTp0+H+9oug/N2fewPoaGhbcJl65VYIiJ2fm/CwsJ47rnnWLx4MR999BGvvPIKTz75pN/L4w/NQa60VEGuMwTL7SNHAfnOuXXOuXrgb8DpAS6TiN99DowfP56jjjqK2bNnU1VVtdfZ9wsLv+Grr+7g009/z623/p5LL72USZMmceyxx3L88cczYcIE5syZA3j/qC9YsIDJkyezcuVK8vLy2Lp1K8OHD2fNmjUcdthhfPzxxzQ1NVFcXMyyZcsAb4irqqpi9erVLS1sa9asITw8HDMjLCyM8PDwlufCw8Pp06dPm+6gtWvX8qMf/Ygbb7yRH//4x7utYHHiiSe2dOn269eP8PBwUlNTqampITs7m+joaJ577rn9/p6OGzeOBx54gPHjxzNmzBjmz59PZGRkS4tfa+Hh4XudXy0xMZHExEQ+/fRTgN3Gs7VWXl5O//79CQ8PZ/78+WzYsKHdco0bN44nn3ySMWPG7BYemkNbSkoKlZWVvPbaa3s95/Hjx7e0ruXl5ZGfn0///t7A0HznamtmxuWXX86XX37J+vXrOfbYY3n55ZdbAkfztRozZgzvvfceAPn5+eTn57cco6HBuPXWLOrrY8nKOo81a24hIsI7hq60tJQPP/xwt/cdM2YMubm51NbWUlNTw/z58znvvBE89NAC/va3Dbz33mHcd98UDjtsIc8/v5RZs5bwzjsH8fbblxIZuYKXX15NTk7Hi3wuW7aMN954gzPPPHOv3zOA999/H/C2vMXGxu7Winb44Ye3tL5u2LCBbdu2MWTIEI4++mjmzp3bEqTLy8sZMmQIxcXFfPXVVwBUVVXR2NjIwIEDWbNmDU1NTWzbtq3l+V1VV1dTWVnJT37yE6677jry8vL26RwCoTnIlZXt293nsn+CokUOGAS0XhRwE3D0rjuZ2TRgGkBqaiq5ubl+K0BlZaVfjyf+EUzXJQeoBFavXo3H42m3daU9zrkOW4rq6uqoq6sjPz+/JVS9+eabnHvuuW3+gBx22GG8/PLLTJ8+nU8++YTJkyeTkpJCZmYmjY2NVFRUcPPNN3P55Ze3DOQ/66yzOPXUUykrK2PZsmVUVlZSXl5ObW0tubm5jBgxgpdeeolhw4Zx3nnnsWrVKj7//HNCQkLIyMggOjp6t2s3efJkxo4d29Iyd9NNNzFlyhROO+00YmNjOeKIIygrKyM3N5f169fTp0+flmNUVVWxaNGilu7FZuHh4WzcuJHIyEgWLlxIbGws6enpLa9rXf6JEycybNgwhg8fzmWXXUZVVVXLfmvXrqWmpobc3FxmzJjB1KlTMTPGjh3bst8333zD5s2bW16TkZHB008/TVZWFiNHjuSggw5qKWNcXBxbtmyhoaGBr7/+GuccaWlp7f48n3zyyQwbNoykpCTS09NZv349ubm5HX7vs7OzefvttxkyZAjp6ekMHTqUiIhiwNsi1zyPXENDAyUlJS2PTz/9dJ566imuuOIKnn76ac466yyccy03l4wfP57ly5dzxhlntBy3+fVz5ozk22+jSU2t5u67J/L6688wefJkIiIiiIyM5IILLqCgoADnXMv7JSUlkZOTw/nnn99ynklJSSxZsoQ5c+a0/JMwY8YMNmzYwF133UV9fT3OOS655JLd5sMrLy9n3rx5LeMOBwwYwE033UR0dDQFBQW7nW9VVRUej6flOY/Hw9lnn43H4+Hqq6/e7fg//elPWbVqFVOmTCE0NJSrrrqK0tJSjjvuOL755ht+9atfERYWxoQJEzjttNP4/e9/z7333kt9fT0RERHcc889DBgwgOTkZCZPnkx6ejpZWVmUlpa2vFfz55KSkr2eb3cRFpYCJPPNN9vIzf2CHN/2YPndHOi/M7av8zN1Z2Z2FjDROXeZ7/GFwNHOuSs7es3YsWPd0qVL/VaG3NzcloHA0n0E1XXxtcSUl5Vx88038+yzz1JbW7vPc6ztyc0338y99967T/tu3LiRoqIiSkpKuOiii1iwYMFuUzfsi6C6Nj3Yli1b2Lp1K0VFYUyceBh9KWLe0g17f+F+WLIkjunThxMSArNmfcvo0VV+PX5X6GhOvK5UUFBAampqwN7/h3rkkUE899wArruuhAceSN65Dl8Q5A/out9lZrbMOTd21+3B0iK3GUhv9Xiwb5tI0ElISODxxx/n8ssvZ+rUqeTl5VFV9cP/MEZEROzXH4cLL7yQkpISqqurue22235QiJPuo3mMXN++jURRQzEpVFVt3G3s2g9VVhbK7bdn4Jxx6aVbemSIkwPT3LVaXh4cwa27CZYgtwQYbmaZeAPcOcB5gS2SSOcaPXo0y5cv5/nnn+fqq6+mrq6uzSB38E6Q2zw9yLZt29i+fTslJSWUl5dTU1NDZGQkHo+HAQMG7PP7Bkt3iHg1BzkzyGA93zCKrVsjGDas7c9SYyNs2xbBli2RbNkSQVFROBMnljB4cH17hwW8DS733DOEwsIIRo+u5JJLtnbquXSmp59+OtBF6LHi4prHBvr/5hAJkiDnnGs0syuBeXinH5njnGt/hKhIEDEzpk6dyumnn87111/PCy+80GY8nMfj4e6772bIkN0neW1sbKS0tJTi4mKGDh3alcWWbqT1kmbNQW7GjBFERe1skWtoMIqKwmlqavuH+I03+jF79jcMGND+DSCPPz6Q+fOTiInxcNdd39ENFrKQAGhukduxI/BBbsuWLS1TFbUWHR1NUpL3bv7OuBu5MwVNtXLOvQO8E+hyiARCYmIis2bNYvr06UydOpV169ZRVVVFXV1dm/ncWgsLC6Nfv37001TrvVrrqT5O5GPe4xcUF4fvtp+ZIzW1noED6xg4sJ5166L4+usYZswYwZ///C1JSW1vvnnxxf4880waoaGOe+5Zx6BBHbfcSXBrDnIVFYGdKGPjxo0UFha2+1xtbS0lJSWEhoaSlJREcnLyblMpdVdBE+RExDtdw4oVK5gzZw7XXXcdNTU1beYtE9lV6xa563mAc3mJZX9/t80+oaGQktJAePjOMU4VFaFMmzaCvLxorr56GE88saZlXN277ya3LFT/3/+9np/8ZEcXnIl0VzuDnHcuw64OHs45NmzYQHFx8V739Xg8FBUVUVRUtM/H35d1oDtTsMwjJyI+ISEhXHbZZXz33Xf7NKeY9G6tgxzAYDYzeHB9m4+0tPo2IQ4gLs7DI4/kMWhQHatXx3D99UOprzf+7//iueOODACuuWYjp55a0lWnIt1Uc5CrrGx/UurO5Jzju+++26cQ11MpyIkEqeTkZCZNmhToYkg3t2uQ2x8pKY08+mgeffs2sHhxPNdcM4wbbhiKx2NMnbqNCy5ovxtLepdABbmmpiby8/PbHRMXTNS1KiLSix1IkANIT6/j4YfzmDZtJIsXxwMwaVIRV16pGaDEKy6ubdeqvzU2NrJmzZp9WiIvGKlFTkSkFzvQIAcwcmQNf/pTPomJDUyYUMItt2ygh934J50oOrqJkBBHbW0oNTX+DXIej4e8vLxeG+JALXIiIr2aP4IcwBFHVDJv3ko6WO9eejEziInxUFERRmmphzQ/Hbe567S6utpPR+yZ1CInItKL+SvIAQpx0qHm7tXSUv+sGNIc4iorK/1yvJ5MQU5EpBcLVfqSLtB8w0Np6YEv0+WcY+3atVRUVBzwsYKBgpyISC/nz1Y5kfY0B7mysgMPct999x07dmhuwmaqvSIivZyCnHS2mBj/BLnt27cH/XQi+0u1V0Skl1OQk87WPEaurOyHH6O6upqNGzf6qUTBQ7VXRKSXU5CTztbctfpDe0Q9Hg/r1q3DuQPvmg02qr0iIr2cgpx0tp1B7of9rG3YsIG6ujp/FiloqPaKiPRyCnLS2Vqv7rC/NC5uz1R7RUR6OQU56Wyt11vdH9XV1WzatKkzihQ0tLKDiEgvpyAnnW1vQa6pqYk1a9bQ1NR2wuD6+vrdtklbCnIiIr2cJgWWzhYX511jtaMgV1xcTFVVVVcWKWjo3zARkV5OLXLS2fbUIueco6CgoKuLFDRUe0VEejkFOelsewpypaWluiP1AKj2ioj0cgpy0tn2FOS2bdvW1cUJKqq9IiK9nIKcdLbmILfr9CNlZWXU1NQEokhBQ7VXRKSXU5CTzhYZ6QgLa6KhIYRaIlu2qzXuwKn2ioj0cgpy0tnMdrbKlZMAQEVFhe5U9QPVXhGRXk5BTrpC8+oOZSQCao3zF9VeEZFeTvPISVfYtUVux44dgSxO0FCQExHp5dQiJ11h1yAn/qHaKyLSyynISVdoDnLNXaviH6q9IiK9nIKcdAW1yHUO1V4RkV5OQU66goJc51DtFRHp5RTkpCvseteq+Idqr4hIL6cgJ11BLXKdQ7VXRKSXU5CTrqAg1zlUe0VEejkzw8wCXQwJcs1dqwpy/qUgJyIimhRYOp2mH+kcCnIiIqLuVel06lrtHKq5IiKiICedLi6uEVCQ8zfVXBERUZCTTqeu1c6hmisiIgpy0umag9wO4nEBLkswUc0VEREFOel0YWEQGdmEhzCqiAl0cYKGaq6IiCjISZdoHien7lX/Uc0VEREFOekSunPV/wJSc83sfjP7xsxWmtkbZpbY6rmbzSzfzL41swmttk/0bcs3s5tabc80s3/7tr9sZhFdfT4iIj2d5pGTrqAg53+B+hfsA+BQ59xoYA1wM4CZHQKcA2QDE4HHzSzUzEKBx4BfAIcA5/r2Bfgj8Cfn3DCgFLi0S89ERCQIqEVOukLz6g7qWvWfgNRc59z7zrlG38NFwGDf16cDf3PO1TnnvgPygaN8H/nOuXXOuXrgb8Dp5l1T5kTgNd/rnwPO6KrzEBEJFgpy0hXUIud/YYEuAHAJ8LLv60F4g12zTb5tABt32X400BcoaxUKW++/GzObBkwDSE1NJTc390DL3qKystKvxxP/CKbrkuP7HCznE0zXJhg0NjYy0Pd1QUFBQMsi7WtsbOzx1yYkpB+QTDkJPf5cmnk8noD+Luu0IGdmHwID2nnqVufcm759bgUagRc6qxytOeeeBp4GGDt2rMvJyfHbsXNzc/Hn8cQ/gvG6BMv5BOO16ckKCwtbvk5NTQ1gSaQjBQUFPf7a9O/vHcZeRiI/7uHn0qysrCygv8s6Lcg5507a0/NmdhFwKvAz51zz3ICbgfRWuw32baOD7cVAopmF+VrlWu8vIiL7SF2r0hXUtep/gbprdSJwAzDJOVfd6ql/AOeYWaSZZQLDgcXAEmC47w7VCLw3RPzDFwDnA2f5Xj8VeLOrzkNEJFgoyElXUJDzv0DV3EeBOOADM1thZk8COOe+Al4BVgPvATOccx5fa9uVwDzga+AV374ANwLXmlk+3jFzs7v2VEREej4Fue4jPj6esLDuMITd/5rvWlWQ85+A/KT4pgrp6Ll7gHva2f4O8E4729fhvatVRER+IM0j132kp6fj8XhYs2YNTU1NgS6OXzW3yGn6Ef/Rv2AiIqIWuW4iISGBqKgoYmJiGDp0KN5ZtoKHulb9LzjbbkVEZL8oyHUPAwbsnOwhPj6eIUOGsH79er++R2hoKHFxcURHR+8WFD0eDyUlJdTX1/v1PZu1DXKd8x4ATU2walUMFRU/vKU5La2erKxaP5aqcyjIiYiIglw3EBsbS2xsbJttffv2paGhgc2bD2xChri4OOLj4zsMcK0NGjSI8vJyioqKKC8vZ+fEEgeu7coOhXve+QeoqQnhn/9M5qWXUtmwIeqAj5eTU8rll29h2LDuG+gU5EREREGuG2jdGrfr9oaGBgoLC3e7Tvsyhq5///6kp6fvdb/WEhISSEhIoL6+npKSEhobG/f+IiAsLIzw8PCWj4iICNatW8eOHTuAXVvk/BfkCgvDeeWVfsyd248dO7zRJjW1nqFDa37Q8Zqa4PPP48jNTeKTTxKZMKGE//iPraSn1/mtzP6iICciIgpyAdanTx8SEjoeN5aens7atWsZM2ZMm+1FRUV8//33HbaapaSk7HeIay0iIqLDgLmvDjroIFavXk1TUxPR0d4gV0E8Hg8cyD02zsEXX8Tw8sv9+fjjJDwebytjdnYV551XwM9+VsqB3PxbVBTGnDlpzJ2bwnvv9eWDD5KZMKGEY4/dweGHVzJgQD3dYQijgpyIiCjIBdgPXbEhJSWFqKgo1q5du1urWXJyMkOGDPFH8Q5IZGQkAwcOZNOmTYSGQjzl7CCBE088fB9e28SIEdVkZ1eTnV3FIYdUERvr4b33knnllf6sWRMNQGioY8oUD1dd1cQxx4QDg3FuEKWlpRQWFtLQ0LDf5U5JaeSGGzZy4YUFzJqVxttv9+Wdd7wfAP3713PYYZWMGLGdrCzIzNzvt/ALBTkREQm6uyN7koiICJKTk3/w62NjYxk1ahT5+fnU1Hi7EhMTE8nIyPBTCQ9c//79KSkpobq6mpP4kLlMoapq781xVVWhLFqUwKJFO1srw8ObaGjw/uORlNTIb38LV14ZRnp6KND2mAMGDCA1NZXi4mIKCgqord3/sW5pafXcdtsGLrpoGx9/nMgXX8SycmUshYURfPBBMh98kMyRRyrIiYiI9EqpqakHHKQjIiI4+OCD+e6772hqaiIrK6tbhXMzY8iQIXzzzTe8xlnsIJ4V+7DQfEVFGF9/Hc1XX8WwalUMX38dTXV1KNnZVfzmNzuYPr0fsbF7jjJmRkpKCikpKQd0E8dBB9Vx0UUFQAFNTbBhQxQrVsSyZEk4P/3pwP06lj8pyImIiARIWFgYKSkpfjlWSEgIQ4cOpampqVuFuGbR0dH0798fAxLYQWzs3m/UiI2tJy2tnhNPLAPA44EdO8LIyoojMzNzv8//X0wKAAAL20lEQVSz+SaOxsZGSktLKS4upqqqar/PJSQEMjNrycys5YQTysjKUpATEREJCpGRkQwePHifxh2Gh4f7fXxidx7vOHBg+4EnNjaW6OjofTpGRkYk/fv3P6ByhIWF0a9fP/r160dtbS11dXWYWcvH/nwPFy9efEBlOVAKciIiIn6SkJBAZmamljzrQOuAlJSURGJiYsDXlo2KiiIq6sDnnAsUBTkRERE/GDhwIGlpaYEuRo+RlZUV6CIEBQU5ERGRAxAWFkZmZibx8fGBLor0QgpyIiIie2BmxMbGkpiYSJ8+fXZ7PioqivDw8ACUTERBTkREermwsLB2x7RFRUWRlJREQkJCQMdwieyJfjJFRKTXiImJISkpicjIyJaP7nyXp8jeKMiJiEivEBsby/DhwxXcJKjop1lERIKeQpwEK/1Ei4hIUFOIk2Cmn2oREQlasbGxDBs2TCFOgpbGyImISFCKj48nKytLqyxIUFOQExGRoBIXF0daWhpxcXGBLopIp1OQExGRoJCQkEBaWhoxMTGBLopIl1GQExGRHiM8PLzdRelDQ0OJjIwMUKlEAkdBTkREeoTIyEiGDx+uwCbSim7jERGRLhUVFbXfC8xHRUUxcuRIhTiRXahFTkREukxYWBjDhg0jMjKSoqIiNm3ahMfj2eNr+vTpw4gRI7TeqUg71CInIiJdwswYOnRoS6taSkoKhxxyyB5b52JiYhg5cqRCnEgHVDNERKRLDBkyhNjY2DbbIiIiGD58OEVFRZSUlLRZzD4qKoqoqCjMLEAlFun+FORERKTTpaWl0bdv3w6fT0lJISUlpQtLJBIc1LUqIiKdKikpiYEDBwa6GCJBSUFOREQ6TXx8PBkZGYEuhkjQUteqiIh0irS0NLXEiXQyBTkREfGr0NBQMjMzSUhICHRRRIKegpyIiPhNdHQ0WVlZmrhXpIsoyImISIdCQkJITU3dp3nczIy+ffsSEqLh1yJdRUFORETaFR0dTWZmJlFRUYEuioh0QEFORETaMDMGDBhAWlqaJuMV6eYU5EREpI2RI0cSExMT6GKIyD7QQAYREWlDIU6k51CQExEREemhAhrkzOw6M3NmluJ7bGb2sJnlm9lKMzui1b5TzSzP9zG11fYjzexL32seNg3oEBERkV4iYEHOzNKBk4HvW23+BTDc9zENeMK3bzJwO3A0cBRwu5kl+V7zBPDbVq+b2BXlFxEREQm0QLbI/Qm4AXCttp0OPO+8FgGJZpYGTAA+cM6VOOdKgQ+Aib7n4p1zi5xzDngeOKNrT0NEREQkMAIS5MzsdGCzc+6LXZ4aBGxs9XiTb9uetm9qZ7uIiIhI0Ou06UfM7ENgQDtP3QrcgrdbtUuZ2TS8XbakpqaSm5vrt2NXVlb69XjiH8F0XXJ8n4PlfILp2gSLHN9nXZfuKVjqTI7vczCcCwT+unRakHPOndTedjP7EZAJfOG7L2EwsNzMjgI2A+mtdh/s27aZnde+eXuub/vgdvbvqExPA08DjB071uXk5HS0637Lzc3Fn8cT/wjG6xIs5xOM1yZY6Lp0T8FWZ4LlXAJ9Xbq8a9U596Vzrr9zLsM5l4G3O/QI59w24B/Ab3x3rx4DlDvntgLzgJPNLMl3k8PJwDzfczvM7Bjf3aq/Ad7s6nMSERERCYTutrLDO8AvgXygGrgYwDlXYmZ3AUt8+93pnCvxfT0deBboA7zr+xAREREJegEPcr5WueavHTCjg/3mAHPa2b4UOLSzyiciIiLSXWllBxEREZEeSkFOREREpIdSkBMRERHpoRTkRERERHoo895f0PuY2XZggx8PmQIU+fF44h+6Lt2Xrk33pOvSfenadE9ddV2GOOf67bqx1wY5fzOzpc65sYEuh7Sl69J96dp0T7ou3ZeuTfcU6OuirlURERGRHkpBTkRERKSHUpDzn6cDXQBpl65L96Vr0z3punRfujbdU0Cvi8bIiYiIiPRQapETERER6aEU5A6QmU00s2/NLN/Mbgp0eXozM0s3s/lmttrMvjKzq33bk83sAzPL831OCnRZeyMzCzWzz83sbd/jTDP7t6/uvGxmEYEuY29kZolm9pqZfWNmX5vZsaozgWdmv/P9HltlZi+ZWZTqTGCY2RwzKzSzVa22tVtHzOth3zVaaWZHdHb5FOQOgJmFAo8BvwAOAc41s0MCW6perRG4zjl3CHAMMMN3PW4CPnLODQc+8j2Wrnc18HWrx38E/uScGwaUApcGpFTyEPCec+5g4DC810h1JoDMbBBwFTDWOXcoEAqcg+pMoDwLTNxlW0d15BfAcN/HNOCJzi6cgtyBOQrId86tc87VA38DTg9wmXot59xW59xy39cVeP8gDcJ7TZ7z7fYccEZgSth7mdlg4BTgz77HBpwIvObbRdclAMwsARgPzAZwztU758pQnekOwoA+ZhYGRANbUZ0JCOfcAqBkl80d1ZHTgeed1yIg0czSOrN8CnIHZhCwsdXjTb5tEmBmlgGMAf4NpDrntvqe2gakBqhYvdn/A24AmnyP+wJlzrlG32PVncDIBLYDz/i6vf9sZjGozgSUc24z8ADwPd4AVw4sQ3WmO+mojnR5LlCQk6BjZrHA68A1zrkdrZ9z3tu0dat2FzKzU4FC59yyQJdFdhMGHAE84ZwbA1SxSzeq6kzX8423Oh1v0B4IxLB71550E4GuIwpyB2YzkN7q8WDfNgkQMwvHG+JecM7N9W0uaG7a9n0uDFT5eqnjgUlmth7v8IMT8Y7LSvR1G4HqTqBsAjY55/7te/wa3mCnOhNYJwHfOee2O+cagLl465HqTPfRUR3p8lygIHdglgDDfXcSReAdjPqPAJep1/KNu5oNfO2c+99WT/0DmOr7eirwZleXrTdzzt3snBvsnMvAW0c+ds6dD8wHzvLtpusSAM65bcBGMxvp2/QzYDWqM4H2PXCMmUX7fq81XxfVme6jozryD+A3vrtXjwHKW3XBdgpNCHyAzOyXeMf/hAJznHP3BLhIvZaZ/QRYCHzJzrFYt+AdJ/cKcBCwATjbObfrwFXpAmaWA/zeOXeqmWXhbaFLBj4HLnDO1QWyfL2RmR2O9yaUCGAdcDHef/JVZwLIzP4A/Brv3fifA5fhHWulOtPFzOwlIAdIAQqA24G/004d8QXvR/F2hVcDFzvnlnZq+RTkRERERHomda2KiIiI9FAKciIiIiI9lIKciIiISA+lICciIiLSQynIiYiIiPRQCnIi0uuYWV8zW+H72GZmm31fV5rZ4534vjlmdlxnHV9Eep+wve8iIhJcnHPFwOEAZnYHUOmce6AL3joHqAQ+64L3EpFeQC1yIiI+vhazt31f32Fmz5nZQjPbYGaTzWymmX1pZu/5loPDzI40s0/MbJmZzWu1bM9VZrbazFaa2d/MLAO4HPidr/VvnJn1M7PXzWyJ7+P4Vu/9FzP7l5nlmdlvA/MdEZHuTi1yIiIdGwqcABwC/AuY4py7wczeAE4xs38CjwCnO+e2m9mvgXuAS/AuPp/pnKszs0TnXJmZPUmr1j8zexH4k3PuUzM7CJgHjPK992jgGLwLpn9uZv90zm3psjMXkR5BQU5EpGPvOucazOxLvMvwvefb/iWQAYwEDgU+8K7MQyjQvK7iSuAFM/s73uV82nMScIjvtQDxZhbr+/pN51wNUGNm84Gj9nAcEemlFORERDpWB+CcazKzBrdzTcMmvL8/DfjKOXdsO689BRgPnAbcamY/amefEOAY51xt642+YLfr+olaT1FEdqMxciIiP9y3QD8zOxbAzMLNLNvMQoB059x84EYgAYgFKoC4Vq9/H/jP5ge+BeybnW5mUWbWF+9NEks69UxEpEdSkBMR+YGcc/XAWcAfzewLYAVwHN4u1r/6umQ/Bx52zpUBbwFnNt/sAFwFjPXdELEa780QzVYC84FFwF0aHyci7bGdPQUiItIddPGUKCLSg6lFTkRERKSHUouciIiISA+lFjkRERGRHkpBTkRERKSHUpATERER6aEU5ERERER6KAU5ERERkR5KQU5ERESkh/r/cIfOheIu/fsAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles_annotation(subset,'timestep','timestep','AggregatedAgentCICHolding')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','AggregatedAgentCurrencyHolding')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','AggregatedAgentDemand')"
-   ]
-  }
- ],
- "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": "3.7.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Simulation/.ipynb_checkpoints/CIC Network v3 cadCAD-checkpoint.ipynb b/Simulation/.ipynb_checkpoints/CIC Network v3 cadCAD-checkpoint.ipynb
deleted file mode 100644
index 9dc33fc..0000000
--- a/Simulation/.ipynb_checkpoints/CIC Network v3 cadCAD-checkpoint.ipynb	
+++ /dev/null
@@ -1,1441 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# CIC Current System Network Graph"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Graph overview \n",
-    "\n",
-    "Modeling as a weighted directed graph with agents as nodes. A network is a set of items (nodes or vertices) connected by edges or links. \n",
-    "We represent a network by a graph (N, g), which consists of a set of nodes N = {1, . . . , n}.\n",
-    "\n",
-    "#### Node types\n",
-    "* Agent\n",
-    "\n",
-    "An agent is a user of the CIC system.\n",
-    "* Chama\n",
-    "\n",
-    "A chama is a savings group consisting of multiple agents. Redemptions of CICs for fiat occur through chamas.\n",
-    "* Trader\n",
-    "\n",
-    "A trader is an agent interacting with the bonding curve for investment/arbitrage opportunities.\n",
-    "* Cloud\n",
-    "\n",
-    "The cloud is a representation of the open boundary to the world external to the model.\n",
-    "* Contract\n",
-    "\n",
-    "The contract is the smart contract of the bonding curve.\n",
-    "\n",
-    "### Edges between agents\n",
-    "The edge weight gij > 0 takes on non-binary values, representing the intensity of the interaction, so we refer to (N, g) as a weighted graph.\n",
-    "E is the set of “directed” edges, i.e., (i, j) ∈ E\n",
-    "\n",
-    "#### Edge types\n",
-    "* Demand\n",
-    "* Fraction of demand in CIC\n",
-    "* Utility - stack ranking. Food/Water is first, shopping, etc farther down\n",
-    "* Spend\n",
-    "* Fraction of actual in CIC\n",
-    "\n",
-    "![](images/dualoperator.png)\n",
-    "\n",
-    "\n",
-    "![](images/v3differentialspec.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Assumptions\n",
-    "(Defining data structures, not just initialization. Baking in degrees of freedom for future experimentation)\n",
-    "\n",
-    "* agents = a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p\n",
-    "* Agent starting native currency is picked from a uniform distribution with a range of 20 to 500. Starting tokens is 400.\n",
-    "* system = external,cic\n",
-    "* chama = chama_1,chama_2,chama_3,chama_4\n",
-    "\n",
-    "Chamas are currently set to zero, it can be configured for more detailed analysis later on.\n",
-    "* traders = ta,tb,tc\n",
-    "\n",
-    "Traders are currently set to zero, it can be configured for more detailed analysis later on.\n",
-    "* Utility Types Ordered:\n",
-    " * Food/Water\n",
-    " * Fuel/Energy\n",
-    " * Health\n",
-    " * Education\n",
-    " * Savings Group\n",
-    " * Shop\n",
-    "* Utility Types Probability \n",
-    "  * 0.6\n",
-    "  * 0.10\n",
-    "  * 0.03\n",
-    "  * 0.015\n",
-    "  * 0.065\n",
-    "  * 0.19\n",
-    "* R0 = 500\n",
-    "* S0 = 200000\n",
-    "* P = 1\n",
-    "* priceLevel = 100\n",
-    "* fractionOfDemandInCIC = 0.5\n",
-    "* fractionOfActualSpendInCIC = 0.5 # if an agent is interacting with the external environment, then the actual spend is 100% shilling.\n",
-    "* kappa = 4\n",
-    "\n",
-    "\n",
-    "## Initial State Values\n",
-    "\n",
-    "# Equations\n",
-    "\n",
-    "## Generators\n",
-    "* Agent generation for each time step: Random choice of all agents minus 2 for both paying and receiving.  \n",
-    "\n",
-    "* Agent demand each time: Uniform distribution with a low value of 1 and a high of 500. \n",
-    " \n",
-    "### Red Cross Drip\n",
-    "Every 30 days, the Red Cross drips 4000 shilling to the grassroots operator fiat balance.  \n",
-    "\n",
-    "### Spend Allocation \n",
-    "\n",
-    "#### Parameters:\n",
-    "* Agent to pay: $i$\n",
-    "* Agent to receive: $j$\n",
-    "* Rank Order Demand: $\\frac{v_{i,j}}{d_{i,j}}$\n",
-    "* Amount of currency agent $i$ has to spend, $\\gamma$\n",
-    "* Amount of cic agent $i$ has to spend, $\\gamma_\\textrm{cic}$\n",
-    "* Percentage of transaction in cic, $\\phi$\n",
-    "* Spend, $\\zeta$\n",
-    "\n",
-    "\n",
-    "if $\\frac{v_{i,j}}{d_{i,j}} * 1-\\phi > \\gamma_{i} \\textrm{and} \\frac{v_{i,j}}{d_{i,j}} * \\phi > \\gamma_\\textrm{cic} \\Rightarrow \\zeta = \\frac{v_{i,j}}{d_{i,j}}$ \n",
-    "\n",
-    "else $ \\Rightarrow \\zeta = \\gamma$\n",
-    "\n",
-    "Allocate utility type by stack ranking in. Allocate remaining fiat and cic until all demand is met or i runs out.\n",
-    "\n",
-    "\n",
-    "### Withdraw calculation\n",
-    "\n",
-    "The user is able to withdraw up to 50% of the their CIC balance if they have spent 50% of their balance within the last 30 days at a conversion ratio of 1:1, meaning that for every one token withdraw, they receive 1 in native currency. We are assuming that agents want what to withdraw as much as they can.\n",
-    "This is one of the most important control points for Grassroots economics. The more people withdraw CIC from the system, the more difficult it is on the system. The more people can withdraw, the better the adoption however. The inverse also holds true: the less individuals can withdraw, the lower the adoption.\n",
-    "\n",
-    "## Distribution to agents\n",
-    "#### Parameters\n",
-    "FrequencyOfAllocation = 45 # frequency of allocation of drip to agents\n",
-    "* idealFiat = 5000\n",
-    "* idealCIC = 200000\n",
-    "* varianceCIC = 50000\n",
-    "* varianceFiat = 1000\n",
-    "* unadjustedPerAgent = 50\n",
-    "\n",
-    "```\n",
-    "# agent:[centrality,allocationValue]\n",
-    "agentAllocation = {'a':[1,1],'b':[1,1],'c':[1,1], \n",
-    "                   'd':[1,1],'e':[1,1],'f':[1,1],\n",
-    "                   'g':[1,1],'h':[1,1],'i':[1,1],\n",
-    "                   'j':[1,1],'k':[1,1],'l':[1,1],\n",
-    "                   'm':[1,1],'o':[1,1],'p':[1,1]}\n",
-    "```\n",
-    "\n",
-    "Every 15 days, a total of unadjustedPerAgent * agents will be distributed among the agents. Allocation will occur based off of the the agent allocation dictionary allocation value. We can optimize the allocation overtime and make a state variable for adjustment overtime as a result of centrality. We are currently assuming that all agents have the same centrality and allocation.\n",
-    "\n",
-    "Internal velocity is better than external velocity of the system. Point of leverage to make more internal cycles. Canbe used for tuning system effiency.\n",
-    "![](images/agentDistribution.png)\n",
-    "\n",
-    "### Inventory Controller\n",
-    "Heuristic Monetary policy hysteresis conservation allocation between fiat and cic reserves. We've created an inventory control function to test if the current balance is in an acceptable tolarance. For the calculation, we use the following 2 variables, current CIC balance and current fiat balance, along with 2 parameters, desired cic and variance.\n",
-    "\n",
-    "Below is \n",
-    "```\n",
-    "if idealCIC - variance <= actual <= ideal + (2*variance):\n",
-    "    decision = 'none'\n",
-    "    amount = 0\n",
-    "else:\n",
-    "    \n",
-    "    if (ideal + variance) > actual :\n",
-    "        decision = 'mint'\n",
-    "        amount = (ideal + variance) - actual\n",
-    "    else:\n",
-    "        pass\n",
-    "    if actual > (ideal + variance):\n",
-    "        decision = 'burn'\n",
-    "        amount = actual - (ideal + variance) \n",
-    "    else:\n",
-    "        pass\n",
-    "\n",
-    "if decision == 'mint':\n",
-    "    if fiat < (ideal - variance):\n",
-    "        if amount > fiat:\n",
-    "            decision = 'none'\n",
-    "            amount = 0\n",
-    "        else:\n",
-    "            pass\n",
-    "if decision == 'none':\n",
-    "    if fiat < (ideal - variance):\n",
-    "        decision = 'mint'\n",
-    "        amount = (ideal-variance)\n",
-    "    else:\n",
-    "        pass\n",
-    "    \n",
-    "\n",
-    "```\n",
-    "\n",
-    "If the controller wants to mint, the amount decided from the inventory controller, $\\Delta R$ is inserted into the following minting equation:\n",
-    "\n",
-    "- Conservation equation, V0: $V(R+ \\Delta R', S+\\Delta S) = \\frac{(S+\\Delta S)^\\kappa}{R+\\Delta R'} =\\frac{S^\\kappa}{R}$\n",
-    "- Derived Mint equation: $\\Delta S = mint\\big(\\Delta R ; (R,S)\\big)= S\\big(\\sqrt[\\kappa]{(1+\\frac{\\Delta R}{R})}-1\\big)$\n",
-    " \n",
-    "\n",
-    "\n",
-    "If the controller wants to burn, the amount decided from the inventory controller, $\\Delta S$ is inserted into the following minting equation:\n",
-    " - Derived Withdraw equation: $\\Delta R = withdraw\\big(\\Delta S ; (R,S)\\big)= R\\big(1-(1-\\frac{\\Delta S}{S})^\\kappa \\big)$\n",
-    " \n",
-    "\n",
-    "There is a built in process lag of 7 days before the newly minted or burned CIC is added to the respective operator accounts.\n",
-    "\n",
-    "### Velocity of Money \n",
-    "\n",
-    "Indirect measurement of velocity of money per timestep:\n",
-    "\n",
-    "$V_t = \\frac{PT}{M}$\n",
-    "\n",
-    "Where\n",
-    "\n",
-    "* $V_t$ is the velocity of money for all agent transaction in the time period examined\n",
-    "* $P$ is the price level\n",
-    "* $T$ is the aggregated real value of all agent transactions in the time period examined\n",
-    "* $M$ is the average money supply in the economy in the time period examined.\n",
-    "\n",
-    "\n",
-    "\n",
-    "## Simulation run\n",
-    "* 5 monte carlo runs with 100 timesteps. Each timestep is equal to 1 day.\n",
-    "\n",
-    "\n",
-    "## Proposed Experiments\n",
-    "![](images/experiments.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Run cadCAD model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
-      "  import pandas.util.testing as tm\n",
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:563: MatplotlibDeprecationWarning: \n",
-      "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
-      "  if not cb.iterable(width):\n",
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:660: MatplotlibDeprecationWarning: \n",
-      "The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
-      "  if cb.iterable(node_size):  # many node sizes\n"
-     ]
-    },
-    {
-     "data": {
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jgw4dOrB1QoZhmpVmF3wA8NNPP2Hy5Mlo3749BAIBVFVVkZSUhLy8PBgYGGD58uWYNWsWt+tTXV0dJSUlqKqq4qY/fX19MWPGDCxduhQXL15sEJQqKiqYNm0apk2b9t4BCAC1tbVISEhAREQE7t69CzU1NS4E+Xz+PwqsyspK3L9/H7/99ht3AF8sFqNVq1awtrZGt27dYGdnB4FA8K/GzDAM09Q1y+ADgDVr1sDf3x/a2trQ1taGpqYmIiMjkZeXh5YtW+Lo0aOYPXs2UlNTuWpOLBYDAF6+fImamhq0bdsWx44dQ6tWrbBkyRJEREQAANTU1CAlJQUej4fJkydjxowZ//pwukQiwf3797l1QRkZGa6HqImJyT+u2oRCIdLS0hAeHo47d+4gOTkZQqEQioqKXIcZR0dHGBkZ/eXGG4ZhmM9Nsw0+AJg5cyZ27doFfX19qKurw9zcHOfPn0dRURGICEeOHMGvv/6KAwcOgIigpKQELS0t5OfnQywWo6SkBEKhEF27dsWZM2cQFxcHf39/PHjwAESE9u3bo/7xent7Y9asWR9ks0l9I+36t0mUlZXB0dERLi4usLS0fK+dnWKxGJmZmYiKisLt27dx7949VFRUQFZWFkZGRnBxcYGLiwvMzMzQokWLf/0dGIZhPpVmHXwA4OHhgV9//RUmJibo0KEDnJ2dcfDgQQiFQhQVFWH9+vVQV1fHzJkzUVFRAR6PBx0dHZSUlEBWVhYFBQVcQCxbtgx+fn44ceIEVq9ejefPn0MikUBTUxNEhJqaGowbNw7z5s2DoqLiB/sO9Ts8IyIikJOTAzs7Ozg7O8PGxua9g5aI8OzZM8TFxeHWrVuIjY1FUVERpKSkwOfz4ejoCDc3N5ibm7/Roo1hGKYpa/bBBwBdunRBdHQ0zM3N0a5dO7i7u2PLli1QUFBAVlYWJkyYgPnz52PkyJFIT0+HnJwclJWVwefz8fTpU8jLy3MBqKmpiZMnT8LGxgZ79uzBpk2bUF5eDrFYDD6fD5FIhNLSUowZMwYLFiz44NXTy5cvcffu3b9spP0+iAj5+flISEjA7du3ER0djefPnwMA2rVrB3t7e7i5ucHKyoodrGcYpkljwYe69TMLCws8fvyYq2BGjx4Nf39/aGpqIjY2Fs7Ozjh79izmzZuHY8eOQSKRgMfjwcrKCtnZ2VBUVERBQQHKyspQU1ODvn374vjx45CVlcW3336LPXv2cK3RDAwMUFtbi4KCAowcORKLFy9ulGMG9Y20w8PDkZCQAENDQ7i4uMDJyQlt2rT519cvKipCcnIywsLCEBkZyfUcVVJSgrW1Ndzc3NC5c2d2sJ5hmCaFBd//q66uhqGhIYqLi2FmZoZ27dph2rRp8PHxgampKW7evAkdHR3cunUL169fx7x581BdXQ0FBQW0a9cO6urqePToEVRVVfHs2TOUlpZCXl4egYGB8PX1RWlpKVauXIkjR46Ax+OhpqYGJiYmqKmpQU5ODoYOHYply5Y1Wj/OmpoaxMXFcY20NTU1uR2iHTt2/CD3KC8vx4MHD3D37l2EhoYiPT0dRAQZGRlYWFjAzc0N1tbWMDEx+aBTvQzDMP8EC77XFBUVwdDQEABgaGiI9u3bY+HChZgwYQKsrKxw+fJlKCsr49KlS1BSUoKnpyeys7MhKysLOTk5uLq64t69e2jdujXy8/NRVlaGkpIS8Pl8nDt3DqampsjNzYWfnx+uXLkCJSUlVFZWolOnTqiurkZmZiYGDhwIPz8/tG/fvtG+p0gkQnJyMiIiIho00nZ2dv6g7wmsrq5GWloaYmJiEBoaiuTkZEgkEhAR9PX14erqCjs7O5ibm7/zQX2GYZh/iwXfHzx58gTm5uZQVVWFtrY2NDQ0sGrVKowcORJmZma4efMmamtrsW/fPnz55ZeYNm0afv31V0gkEigqKkJfXx8tW7ZEamoqNDU1kZGRwU1/Dh06FAcOHICCggIePnyIJUuWICoqCioqKqioqIC9vT0qKiqQmpoKd3d3LF++HJqamo36fesbadfvEBWJRNwxCTMzsz9tpP0+RCIRMjIykJCQgNDQUMTFxUEoFEIikUBDQwNOTk5wdHSEubk5NDQ02DohwzCNggXfW8TFxaFLly7g8/lo2bIldHR0sHHjRgwZMgRaWlpITk5GXl4eli1bhmXLliE4OBjLly+HUCiEsrIyZGRk4O7ujmvXrkFdXR2FhYUoLS1Ffn4+FBUVsWXLFnh7ewMAIiMj4efnh/T0dLRs2RKlpaXo0qULysrKkJiYiN69e8Pf3x86OjqN/r2JCE+ePOF2iBYWFsLR0RHOzs7o1KnTBz/PJ5FIkJ2djaSkJISFhSE6OhplZWUAgJYtW8LOzg4uLi6wsLCAQCD4oCHMMEzzxYLvT1y6dAmDBw+GjY0NRCIRDAwM8N1332HIkCFQVlZGSUkJkpKSMHToUBw6dAjJycnw8vLi3uIgIyMDR0dHSCQSJCUlwcTEBAkJCaitrUVhYSGMjY1x7tw56OrqAgDOnTuH1atXo7CwEC1atEBpaSl69eqF4uJiREdHo3v37vD394e+vv5HewZ5eXncgfnHjx/D2toazs7OsLOzg5KS0ge/X33z7ZSUFERGRiIyMhIFBQWQlpaGnJwcOnfuzJ1VNDIyAo/H++BjYBjmv48F31/Yt28fpk6dii+++ALPnz+HiYkJduzYgWHDhnHvx7t06RKsra1x6dIlyMjIYPLkybhx4wYkEglUVVXB4/Hg4eGBI0eOgM/nc5VfYWEhhEIhxo4di927d0NWVhYSiQQHDx5EUFAQamtroaioiJKSEvTv3x+vXr1CaGgoXFxcsGLFCpiYmHzUZ1FSUsIdk0hJSYGZmRn3bsHGbHxdWFiIlJQUxMTEIDw8HE+ePIGsrCyICKampnB1dYWlpSXMzMz+1XENhmGaDxZ8f2PNmjUICAjAuHHjcO/ePVhYWGDXrl0YO3YssrOz4erqij179kBTUxOXL1+Gvr4+tm3bhrVr14KIoKysjJqaGgwePBh5eXm4d+8eHB0dERYWBllZWWRnZ6NFixbYvXs3hg8fDqBuLWzLli3YvXs3lJWVISUlhfLycgwdOhQvXrzArVu34ODggBUrVsDCwuKjP5PKykrExMQgIiIC8fHxEAgE3OaYxtyUA9Q1375//z7i4+MRHh6O9PR0yMjIcC8crn+/obm5eaOPhWGYzxMLvnfwzTffIDg4GHPmzMGVK1dgbW2N3bt3Y9q0aYiMjISXlxfWrFkDHo+H48ePo1u3boiJiYG3tzeKi4u5dmft2rWDh4cHdu3aBUNDQ4jFYjx8+BC1tbXIy8uDpaUlzp49Cy0tLQB1xwMCAwMREhICdXV1VFdXo7q6GiNHjkRubi6uXr0Ka2tr+Pn5wdbW9pM8G6FQ2KCRdtu2bbkQ1NHRafQNKpWVlUhNTUVSUhLCw8ORnJwMKSkpiEQitG3bFk5OTrCxsYGZmdk/buzNMMx/Ewu+d+Th4YFz585h3bp1+Omnn+Dk5IQffvgBixcvxunTpzFv3jz4+flBKBRi06ZNmDRpEkpLS+Ht7Y3IyEgQEdq1a4eSkhJMnz4dMTExSEhIwBdffIErV65wXWJqa2sxadIkbN26lXtLQn5+Pvz9/XHp0iUIBAKUlJSgtrYW48ePx9OnT/Hrr7/CwsICfn5+cHJy+mTPSCwW48GDB9zmGFlZWS4EjY2NP0roCIVCpKenIzk5GXfv3kVsbCzXXJzH48He3p47QmFgYPCvm4czDPP5YcH3jiQSCdzc3BAbG4udO3di06ZNcHNzw/bt27Fu3Trs2bMHfn5+WLVqFQoKCjB9+nSsX78e0tLS+Pbbb7FlyxbIyclBSUkJNTU1sLCwQP/+/REUFAQzMzMoKSkhPDwcLVu2xIMHD9C6dWvs378f/fv358bw6NEjLFu2DOHh4TAzM0NOTg63rpiZmYlTp07B2NgYS5cuRdeuXT/h06rbqPLo0SMuBCsqKrhjEhYWFh+tk0t98+379+8jOjoad+/eRVVVFWRkZEBE6NSpE+zt7WFubg4TExMoKyt/lHExDPPpsOD7B0QiEaysrPD48WMcOXIES5YsQc+ePbF161YEBwcjMDAQ/v7+2LFjBx48eIDevXsjJCQECgoKCAsLw9dffw2hUIiamhqoq6ujtLQU/v7+OH36NBISEuDp6Ynz589DIpGgsLAQ+fn5sLe3x6lTpxqsV8XFxWHZsmV4+PAhLC0tkZGRAUVFRUyfPh0PHz7EiRMnoKuri0WLFqFPnz6f8In9LicnhwvB3Nxc2Nvbc9OQH+KNFe+qvvl2cnIy7t27h/DwcBQVFUFOTg61tbUwNDSEo6MjLCwsYGZm1middBiG+XRY8P1D5eXlMDMzQ3FxMU6fPo2ZM2fC3d0dQUFBOH78OBYsWIAFCxbg6tWruHr1KoyNjXHhwgV06NABxcXF8PLy4jqYdOzYEc+fP4e7uzucnJwQGBgIS0tLaGlp4cyZM9DR0UFcXBwkEglmzZqFNWvWNHhJ7NWrVxEQEICXL1/CysoKSUlJaNWqFXx9fZGSkoKQkBB07NgR8+fPx4ABAz7hU2uosLCQ2yGalpaGTp06wdnZGfb29h99Z2Z98+2UlBQkJCQgMjISOTk54PF4EAqF0NDQgKOjIywtLWFubg5NTU22TsgwnzkWfO8hPz8fZmZmAOrO33l7e2PQoEFYv349bty4ga+//hqTJ0/Gy5cvsWvXLrRp0wanT59G586dIZFIsGbNGuzatQvKysqQlpaGoqIipKSksH79euzcuRMJCQn4+uuvcf78eRQUFEBJSQkJCQlo164dfv75Z3Tv3p0bS/17A9evXw8AMDc3R1RUFDQ0NDB//nwkJCTgwIEDaNeuHebPn4+hQ4d+ikf2p8rKyhAVFYWIiAgkJibCyMiIOybxIRppv4+ioiKkpKRw64QZGRng8XgQi8VQUlKCo6MjrKysYG5uDl1dXdaAm2E+Myz43lN6ejpsbW2hqqqKM2fOYOzYsRg6dCjWrFmDmJgYjBkzBoMHD4aenh6WLFkCeXl5BAcHY9CgQQCAW7duYerUqZCXl0dxcTFMTEyQnp6OqVOnQkdHBytXrkSnTp1gY2OD4OBg6OvrIyUlBQUFBejatSuOHj3aYBpOIpFg+/bt2LFjB9q0aQMDAwOEhoZCIBBgyZIliI2Nxb59+6Cqqoo5c+ZgxIgRDarHpqC6upprpB0TE4OOHTty64IfqpH2+6hvvp2SkoKoqCikpKRAXl4eRAQigq2tLaytrWFmZgZjY+OPOnXLMMw/x4LvX6jvqKKjo4NffvkFnp6e8PT0xKpVq/Dw4UMMGzYMDg4O8PDwwMSJE1FbWws/Pz/MmzcPQF3lOG7cOGRmZnIvrC0qKoKGhgaCgoKwevVqJCQkYPbs2bh27RoSExNhZmaG69evQ0pKCkuWLMGSJUsaBFh1dTXWrVuHgwcPwsDAAFpaWrh58yZMTU2xbNky3L17F8HBwVBUVISPjw/GjRvX5AIQqFtPTUpK4hppq6iocDtE9fT0Pul0Y33z7eTkZMTHxyMuLg4yMjKQkpKCUCiEmZkZd4TCzMysUQ/4Mwzzz7Hg+5d+/fVXjBgxAp07d8aePXswbNgweHl5wd/fH7m5uRg0aBD4fD4WLVqEkSNHoqioCJ6enti5cyekpaUhkUiwYsUKHDhwAGpqaqiqqoJAIEB6ejpWrVoFaWlprFixAp06dYK7uzu+/fZbaGhooLy8HPfu3UPHjh1x5MgRODg4NBhXcXEx/P39cfbsWdjb20NVVRXXrl2DtbU1/P39ERERgZ07d0JGRgbTp0/H5MmTm2QAAnXTuampqVwIisXiBo20P/W4RSIRHj16hOTkZCQkJCAqKgpisRiysrKorq4Gn8+HjY0Nt2GmQ4cObJ2QYT4hFnwfwO7du+Hj44M+ffogMDAQw4cPx8SJE7FkyRIUFxdj0KBB4PF42L59Ozw9PZGZmQkHBwecOnWKewP7pUuXMGvWLLRq1Qp5eXmwtbVFYmIinJyc8L///Q8LFixAQkIClixZgrt37+Ly5cvo2rUrLl26hOLiYvTr1w8HDx5Ey5YtG4ztyZMn8PPzwydIo/sAACAASURBVO3bt9GjRw9ISUnhxo0bcHR0REBAAMLCwrB9+3aIxWJMmzYNU6ZMadJrVkSE7OxsREZGIjw8HK9evYKDg0OjNdJ+H/XNt5OTk7l1wvLycu49jK1atYKdnR0sLCxgbm4OPp//ycObYZoTFnwfSEBAANauXQsvLy/MmDEDnp6emDJlChYsWIDq6mp4eHiguLgYISEhmDp1KiIiIqCtrY2zZ89yjapzc3Ph5eWFFy9eAABat24NeXl5FBYW4ocffsDTp0+56u+rr75CQEAAZGVlIRAIcPbsWcjJyWHVqlXw8fF54x/SlJQULF26FElJSRg4cCCKi4tx69YtdOvWDStXrsSdO3ewdetWVFVVYdKkSZg5c2aTCJG/8+LFC66RdnZ2NqytreHi4gJbW9tGaaT9PogIz58/R0pKCpKSkhATE4O8vDwoKSmhtrYWsrKyXEVobm4OQ0PDz+LZM8znigXfBzRlyhT89NNP3O7JUaNG4ZtvvsHcuXMhEokwbtw4pKam4vTp01i7di1CQkLQsmVLHD58GF26dAFQVy0sWrQIx44dg46ODnJycuDm5oZbt25h9OjRmDNnDmbMmIGEhAT4+/sjLS0NBw4cQPfu3ZGUlISkpCQIBAIcPXoUnTt3fmOMoaGhWL58OXJzczFixAg8fvwYd+7cQd++fbFixQqEhYVhy5YtKC4uxldffYXZs2d/Nps1iouLubc63L9/H+bm5nB2doajo2OTW2erb76dkpKC2NhYPH78GEpKSiAi1NbWwsLCAlZWVjAzM4OpqSk3M8AwzL/Hgu8DGzRoEC5fvoygoCDY29tjzJgxmD17Nnx8fCCRSDBz5kzcvHkTx48fx4ULF7Bu3TrIyMjg22+/xVdffcVd5+zZs5g3bx60tLTw+PFjODo64tGjR+DxeNi3bx9iYmK46m/u3Lnw8/NDXl4e+vfvjx9//BHl5eUYMmQIgoOD3/qP5qlTpxAYGIja2lp4eXkhKioK0dHR+PLLL7kADAoKQn5+Pry8vDB//vwmU0G9i4qKCsTGxiIiIgJxcXHQ1dX9aI2030d98+3k5GQkJibiwYMH3DGXyspKGBgYcEcozMzM0LZt2089ZIb5bLHg+8AkEglcXV1x79497N+/H1paWhg/fjzmzZuHb775BgCwfPlyhISE4MCBA3j27BlmzpwJkUiE6dOncxtagLr1ubFjx6K8vBzS0tKQlZWFkZERQkNDsWjRIgwfPhzTp09HQkICVqxYgdLSUmzcuBE2NjaQkZHBmTNnoKioiG+//RaTJk1661iDg4Px3XffQVVVFWPHjsXVq1eRkJAADw8PLF++HOHh4diwYQNycnIwatQoLFq06LOrPoRCIe7du4eIiAhERUVxjbRdXFygra3dJDea1Dffrp8eTUxMhLy8PGRkZFBZWYkOHTqgc+fOMDMzg7m5ObS0tJrk92CYpogFXyOorq6GjY0NsrOzcf78ecjIyOCrr77CokWLMHXqVADAli1b8N1332HHjh1QU1ODp6cnysrK0KdPHxw4cIBb4xGJRJg7dy7OnTsHExMTpKamYsiQIbh48SJMTEywd+9eXL58mav+Vq5ciYCAAMTFxWHs2LE4ceIE0tPTYWRkhKNHj8LU1PSN8QqFQgQFBWHv3r3Q19fH6NGjcfToUaSmpmLUqFFYunQpIiIisH79emRlZWH48OFYsmQJWrVq9VGf64cgFotx//59rn2avLw8VwkaGRk12fCob75df7A+Li4OUlJS4PF4qK6uBo/Hg7W1NVcR6uvrf6RNSmUArgCIAVAMgAdAE0B/AOYAmubzZJo3FnyNpLi4GFZWViguLkZoaChevXoFb29v+Pn5cdXXTz/9hBUrViAwMBAuLi4YPHgwcnNzYWJigpMnTzaYkjt69CiWLFkCMzMzpKamwtbWFtXV1UhNTcWmTZvg4ODAVX8rV66EoqIili1bBg0NDbi5uWHz5s2oqanBmDFjsH379reu25WXl2PlypU4duwY7O3tMWTIEOzbtw+PHz/G+PHjsXDhQkRFRWHt2rVITU3F0KFDsXTp0s922o2IkJGRwW2O+VSNtN/H682364OwpqYGSkpKEAqFEIlEsLS05DbMGBsbQ1FR8QOO4CmAgwDOAagFIAdABgABqEFd4OkA8AbgDoDtWmWaDhZ8jejZs2ewtraGRCJBTEwMMjIyMGXKFAQEBHDreWfPnoWvry/mzZuH8ePHY+jQoUhMTESbNm1w7NgxWFpactd79OgRvLy8IJFIwOPxUFpaii+//BK//PIL3N3dsXnzZpw4cYKr/oKCgrB+/XqcP38eo0ePRlpaGs6fPw8VFRVs3boVo0ePfuu4X7x4AT8/P1y7dg19+vRBr1698MMPP+D58+eYPHkyZs+ejfj4eKxevRrJyckYOHAgli1bBnV19Y/yXBvLs2fPuErwxYsXsLOzg7OzM2xsbMDj8T718P7S6823U1JSEB8fj+LiYrRo0QJisRiVlZUwMjKCubk5VxW+f8UeC2AOgGoAaqgLvTdGhLpqsBxAbwArAXwem6SY/z4WfI0sJSUFrq6uUFZW5rp8TJ8+Hf/73/8wduxYAHU7Lb/66iuMHz8ey5Ytw6RJk3DhwgXweDzs3LmzQYNpoVCIWbNm4erVq3BwcEBERARGjx6N0NBQVFVVITg4GFpaWg2qPz09Pfj4+ICIMHXqVKxbtw5Pnz6FlZUVQkJCoK+v/9axP3z4EMuWLUNsbCxGjBgBGxsbfPfdd9w7BWfMmIG4uDgEBgYiPj4e/fr1g5+fH/ci3c9ZYWEhVwlmZGQ0aKT9Oaxxvt58Ozk5GUlJScjJyYGKigqkpKRQVlYGTU1NWFpacuuE6urq7zDVmwzga9RNab5LQ3EJgBcAugPYgLqqkGE+LRZ8H8Ht27fRv39/aGhoID4+Hr/99htmzpyJdevWwdPTEwBw7949jBo1Cn379sWWLVsQEBDAdXdZvHgxZs+e3eCahw4dgr+/P+zt7ZGUlAR9fX0YGhri5MmTmD59OhYsWIAjR45w1d/27duxa9cu7N27F/369YOmpiY2btwIkUiEyZMnY+PGjX96duzu3btYvnw5srKy4O3tDR0dHWzZsoUL4YkTJyIlJQWrV6/G3bt30atXL6xYsQJ8Pr/Rn+3H8MdG2sbGxlwj7c/ptUX1zbfrw/DRo0do2bIlpKWlUVFRgRYtWjQIQoFAABmZ14OqAsAgACIALTFpUgJ8fATo3PnvjorUh99sAOMa58sxzD/Agu8jOXHiBMaNGwcTExNERkbi0qVL8PX1xbfffovhw4cDqJvKHDp0KKysrHDgwAEcPHgQixcvhkQiwfDhw7Ft27YGB9MfPnwILy8vKCgooGXLlsjMzMS0adOwd+9eaGhoYN++fZCXl29Q/dnb22PGjBl4+vQpFixYgKNHj+LmzZto3bo1du3axTXRfpsLFy5g9erVKCsrg6+vL2RlZbFlyxbIyMhg7ty5GDNmDNLS0rBq1SqEhYWhW7duWL58OQwNDRv9+X4s1dXV3DGJmJgYaGlpcZtjNDU1P/Xw/pHXm28nJSXh4cOHUFZWhry8PKqqqkBE3LRo3Yt6MyAntwZA3ZT2uwcfAFShbt3vIoCmu3bKNA8s+D6i7du3Y/78+XBxccHVq1dx+vRpzJs3D5s2beJeF5Sfn4+BAweiffv2OHbsGMLDw+Ht7Y2amhrY2Njg6NGjDabaqqurMX36dISFhaFXr164ePEiRowYgby8PISHhyMwMBCenp745ZdfuOrvhx9+wJkzZ7Bu3Tp06tQJI0aMwPz581FQUAAHBwccOnQIOjo6b/0OEokEhw4dwsaNG6GgoIDFixfjxYsX2LFjB5SUlLBo0SIMGzYMjx49wqpVq3Dr1i24uLjA39//rTtKP2cikQiJiYlcD1FVVVUuBHV1dZvsDtE/83rz7frKkMfjQUFBAUJhDWbOvA11dRnIybXBgQMluHu3AvLyMpCWlsKoUZpIT69ASkoZhEIJdHWV8M03AujovL6hJg9AEAC3T/QNGeb/EfNRLV26lHg8Ho0cOZKIiI4cOUICgYB+/fVX7jMlJSXUo0cP6t69O5WUlND9+/fJ1NSUNDQ0yMbGhh4/fvzGdffs2UMCgYAmTZpE1tbW1LNnT9q+fTvp6+vT+PHjqaysjAoKCmj48OFkaGhIhw8fpoKCAho1ahTp6enRd999RwsXLqQWLVpQixYtaOHChVRbW/un36O2tpaCgoLI0NCQevToQbdu3aKgoCAyMTEhV1dXunDhAhERZWdn0+TJk4nP59OwYcMoISHhAz/RpkEsFtP9+/dp7969NHnyZJo4cSLt2bOHkpOTSSwWf+rhvZfa2lpKTU2l48eP0/ff+1BaWmuKjlan+HgtiovrSAMHKtCRIxqUmWlBBQXOdO6cDVVWupNQ2J9277YkHx8BEQ147ZcLEX3zEUb+nIiSiCiWiFKJqPwj3JP5nLDg+wQmTJhAPB6PZs2aRUREhw8fJoFAwIUFEVFVVRUNGjSI7O3t6cWLF5SXl0cuLi6kqalJ+vr6FBoa+sZ1ExISuNAbNWoUGRgYUHBwMPXt25csLS25v3P48GEyNDSk4cOHU0FBAZ07d44sLCyoR48edP36dXJzcyMej0daWloNxvQ2FRUVtHTpUhIIBDR48GCKjY2lwMBAMjAwoB49etCNGzeIiCgnJ4emTZtGfD6fBg8eTNHR0R/qcTY5EomEMjMz6eeff6aZM2fS2LFjaevWrRQdHU1CofBTD+89/UYSiQNVVPSk58/tKT3dhAYPVqJDh9pQfLwWxcdrUVRUB4qP16L0dFN69MiW3N3bUFlZP/o9+Hr9//82hloi+o2IJhORPRE5vfbLmYjWEVFGI92b+dyw4PsExGIxubu7k4KCAq1Zs4aIiA4cOEACgYCuXLnS4HPjxo0jS0tLysjIoKqqKho2bBhpampSx44d6eDBg29cu6ysjEaNGkUmJia0ePFi0tPTo+nTp1NgYCDx+XxaunQpicXiN6q/qqoq8vX15T5z5MgR6tChA/F4POrTpw/l5OT85XcqKCig6dOnE5/Pp/Hjx1NaWhotX76c9PT0qG/fvhQWFkZERHl5eeTj40N8Pp/69+//1gD/r8nNzaWTJ0/SggULyNPTkzZs2EB37tyhysrKTz20f+AyETnQ6xWct7c2RUY6Un6+I6Wnm9LSpUrk6dmaBg1Soy+/bElduyrQpUsd6OFDI8rJsaXSUlcSi3s2wtgeEFE/qgs8FyLqTw0rzS/+/8/siGg+EVU0whiYzwkLvk+ktraWHBwcSFFRkfbu3UtERD/++CMJBAK6fv069zmxWEyzZ88mY2Njio+PJ7FYTHPnziUNDQ3S0NAgf3//t15/69atxOfzac6cOeTs7ExOTk508uRJsrW1pS5dulBGRt1//f6x+ouOjiYnJyeysbGhK1eu0IwZM0hJSYlUVFQoICDgb6ftsrKyaNSoUcTn88nX15eys7Np4cKFJBAIaMCAARQbG0tERC9fvqS5c+eSrq4u9e3bl27evPkBnmrT9+rVK7p48SL5+/vTiBEjaOXKlXTlyhUqKSn51EP7G3eIyJFeD5SJE7UpPt6NiAbQjRtONHlyR7pypQNVVPSi8vJ+NGBAe3r8uDu9fOlCjx9bUmqqNt29q0GLFy+mAwcOUExMDJWX/9tpyHiqC7su1DDs3vbrS6oLv7HEpj+bN9ZO4RORlZXF9evXwefz4ePjg7Nnz8Lb2xvLli3D5MmTcfv2bQCAtLQ0Nm/ejLFjx2LYsGEIDQ1FUFAQli5dCikpKezduxdeXl4QCoUNru/j44Pjx4/j2rVraNWqFTp37ox58+Zh6tSp6NSpE/r06YPdu3dj9OjRCA8PBwC4uLggPT0dYWFhGDFiBKZMmYKamhrcuXMHRkZGWLt2LQwMDHDr1q0//V4CgQC//PILTp8+jfT0dPTo0QNKSkoICwuDnp4ePDw8MGzYMDx//hxBQUGIi4uDra0tJk2ahJ49e+Ly5cuN9sybgtatW6Nfv35YuXIl9u3bh27duiEmJgZff/01lixZgrNnz6KgoOBTD/MtdACIUXcwvU7r1nJ48aIGAFBVJYaiohwMDDoiNTUDP/30DAAgLy8LNTU18Pl8GBtrwtp6DEaOHAkpKSmcOHECEyZMgK+vL3bt2sV1OHp32QBmoe4A/e+H8fPzazBwYBTE4j/u25MC0AHAQwCLUHfMgmmWPnXyNnd5eXmkra1NKioqdOfOHSIi+uGHH0hPT4/7fb3t27eTQCCgM2fOEBHRr7/+Stra2qSjo0PdunWjgoKCN65fUlJCHh4eZGZmRhs2bCBDQ0MaN24cHT9+nIyNjcnDw4OKioqI6M3qLysri9zd3cnExIRCQkJo37591KZNG1JUVKSBAwdSXl7e336/a9euUZcuXcjExIS+//57ysnJoalTpxKfz6dRo0ZxlWdZWRmtWLGCDAwMqGvXrg02+zQHNTU1FBkZSZs3b6bRo0fT7Nmz6ciRI/TkyROSSCSfenj/byIRuVJ9BRUZ6UoTJmiRp6cmhYTY0OrVxjR8uAZ5eLSkI0cMacCA9pSb25t+r7bsqa5C+11tbS09ePCATpw4QatWraLRo0fT5MmTafPmzXT58mV69uzZX3z/pf9/zYbVZ15eHxowoD2JRF/Sn1d+tkQU+aEfEPOZYMHXBGRkZFC7du1ITU2NkpOTiYho27ZtpKenR5GRDf/PGRISQgKBgPbv309ERLGxsWRkZES6urpkbm7O/f0/2rBhA/H5fFq+fDn16dOHOnXqRNeuXaOhQ4eSiYkJt4klPz+/wdofEdH+/fvJ0NCQhgwZQqmpqTRu3DhSUlIiVVVV2rBhwzvtWgwJCSFra2uytramkJAQys7OpgkTJpCOjg5NmDCBsrOziYiosrKS/ve//5GRkRG5uLjQsWPHPttdke9LJBJRQkIC7dy5kyZMmEBTp06l/fv308OHDz9xCN6i+qD5q181NX0pNrYjlZX1eO3n3YhoMBH99fglEgllZ2fTxYsXaePGjeTt7U1jx46lwMBAOn36NKWlpZFIJCKil1S35uhO/zz4BlDdppdZH/DZMJ8Tdo6viYiJiUGfPn2gqKiIyMhIrjvKtm3bEBISAnt7e+6zFy9exIwZMzBz5kzMnTsXz549w9ChQ/Hq1StIJBLs2LED7u7ub9wjLCwMU6ZMgZGREUxNTXH48GHMmjULioqK2LBhAwYOHMh1cPnjuT9ZWVn4+vrizp078PHxgaurK7y9vZGZmQmBQID9+/fD0dHxL7+jRCLBzp07sW3bNrRt2xYBAQEQCATc64/69euHgIAAqKuro7q6Gtu2bcOPP/4IFRUV+Pr6YvTo0W+8Wf6/jv6/kXZERATCw8NRXV3NNdI2Nzf/yI20awF4AngO4K8bk798+RI5ObmwsDCHtLQEQD6AQAD9/vFdCwoKcP/+fdy/fx8pKSnIz8/HiBE16NkzGbKyWtizJx+3bxdBTk6KO1O4f/9TzJghwC+/5IKIMHSoOoYO1XjtqvVjOgtA4+03Zv67Pm3uMq+7fPkyqaiokK6uLjdtuWHDBtLX1+c2hdSLjIwkAwMDWrp0KRHVTRX279+fBAIBaWlp0datW996j6KiIvryyy/J0tKSdu/eTWZmZjR48GCKiooiV1dXsre3587ava36u3LlCllZWZGbmxvdu3ePNm/eTK1btyYlJSXy9PTkpk3/SlVVFa1cuZL09PTI3d2d4uPjKTk5mTw8PIjP59OsWbOosLCQiIiEQiFt2bKFzM3NydbWln788cdmVwG+7smTJ3TkyBGaM2cOjR49mjZv3kyRkZFUU1PzkUbwjIh6U13F9NeVX3q6KWVnmxORNRF9R39X7b2rsrIyys8fRM+fG1FKij5FR2vQ0KEqdOGCIb165UrPnnWnAQPa04YNplRV5U5ZWT1pzBhNriL8/Zc91e1WZZobFnxNzMGDB0lJSYksLS2prKyMiIjWrl1LBgYGFB/fcH0kOTmZTE1NaerUqSQWi0ksFtPUqVNJW1ubtLW1ycfH560hIRaLafXq1cTn82nt2rXk4eFBpqamdP36dVq8eDHx+fwGU5h/XPurqqqiuXPnEp/Pp4ULF9LTp09pyJAhpKioSGpqavT999+/UzgVFRXR7NmzufW+zMxMio2NpQEDBpBAIKCFCxdyux3FYjHt2LGDrKysqFOnTrRz5873C8Dql0Q5F4kehxBl/UL09CxR+ZN/fp0mID8/n86ePUtLliyhkSNH0po1a+jmzZsfYKfk33lCRAOpbodkd6pbM/tj8PUjkciGHj1qQ0+eLKcPFXq/G05EdVOpYnF/8vJSp8uXTSg11YiuXOlAXbsq0M2bvx+g//HHTvTdd+Z/GKMtEZ34wONiPgcs+JqgjRs3kpKSErm4uHDdU1avXk2GhoaUlJTU4LPZ2dlkbW1NI0aM4D67du1a6tixI+np6dGAAQO4AP2jmzdvkomJCY0aNYpbA/Tz86ObN2+ShYUF9evXjzu/97bqLz4+nlxdXbn1wps3b5K+vj4pKiqSlZXVOx9Sf/r0KY0fP574fD5NmzaNCgoKKDw8nPr27Ut6enq0fPlyqqioO3slFospODiYrK2tydLSkrZu3fqXHWaIiEgiIXqVQBS/lOiSA9FFe6ILNkQXrIku2tX9/u50ovxQIrHoncbc1JSUlNDVq1dp1apVNGLECFq+fDlduHCBXr582Uh3LKe60BhEdZWTNdUFiQ3VBaIDES2nlJQjNGHChEYIY0+qC903j1a8eNGb+vVrQ6GhHbh1xnPn7GnFCkNqGHx2RHT6A4+L+Ryw4Gui5s6dS4qKijRgwACusgkICCBDQ8M3NrAUFBSQi4sL9evXjwuIkJAQ0tHRIRMTE7K3t+c2j/xRXl4e9e3blzp37kxHjhwhGxsb6tmzJz18+JC8vLzIwMCAjh07xn3+j9WfWCymjRs3kkAgoAkTJtDLly9pxYoVpKqqSsrKyjRhwoR3PqOWnJxMgwcPJoFAQEuXLqWKigq6fv069ejRgwwMDCgwMJCqqqqIqC4ADx48SHZ2dmRqakobN258+3SfuJYoeV1dwF1yILruTnRzQMNfN/oTXXImumhLFDWDqPbzPuNVWVlJd+7coQ0bNpCnpyctWLCATp48Sbm5uY1wNwkRxRHRYSLaTkR7iegsEb3iPrFjxw4KCgr6wPedSXXn994MvvrNLfHxnenBg7qw27fvbRWfPRHd/MDjYj4HLPiasNGjR5OioiJNnDiR+5mfnx8ZGxtTampqg8+WlZVRnz59qEuXLtw62507d8jAwIAsLCzIyMjojR2i9cRiMfn5+ZFAIKBt27bRhAkTyMDAgE6ePEmHDh0iPT09mjBhAheqb6v+srOzadCgQWRoaEiHDh2i7Oxs6tOnDykpKVG7du0oODj4nb/3nTt3qEePHmRoaEgbN26k2tpaOn/+PLm6upKJiQkFBQVxVZ5YLKYjR46Qk5MTGRsb05o1a7hwJImY6N6yuuruxlsC740A/LIuIMPGEdV+Tl1V/pxQKKSYmBjatm0bjR07lmbOnEk///wzZWZmfrQdolVVVTRlypQP3KXnCr2+w3TePD26eLGus0x98G3YYEJRUVqUnOxIY8d2pLi419f4vqC6VmZvnw1h/ttY8DVhYrGYevfuTUpKSrR48WLu54sXLyYTExPuDFy9mpoa8vDwIFtbW26KMiMjgzp37kwWFhbE5/MpJCTkT+934cIFMjQ0pPHjx1NwcDDp6enRjBkzKCsri3r37k1WVlYUHh7Off6P1R8R0c8//0xGRkb05ZdfUnZ2Np05c4a0tbVJUVGR7O3t35iq/SunT58mOzs7srS0pP3795NYLKbjx4+Tvb09mZub0/bt2xus8506dYq6dOlChoaGFBAQQFUpO+qmM2/0//vQaxB+tkRxC995nJ8LsVhMKSkpFBwcTBMnTqRJkyZRcHAwpaSkNPqGodTUVBo7duwHnHqtJqKuRNSH/nim8ORJWxowoD1dvOhAI0e2pYEDW9CxY7b0ZrW37gONhfncsOBr4qqqqsjOzo6UlZVp06ZN3M/nz59Ppqamb4SfWCymyZMnk7m5OVcVFhUVUc+ePcnY2Jh0dHRo5cqVf3q/nJwc6tGjB9na2tKlS5fIxcWFnJyc6P79+7RmzRruLGD9P5Rvq/6KiorI29ubBAIBbdiwgSoqKmjOnDmkoqJCLVq0oOnTp3PV49+pX9Pj8/mkoaFBFy5c4KY5ra2tqVOnTrRv374G/3BfuHCB+vZyo6g1PErbpUvCq/3ePfjqpz4v2hGVv/kWjP8KiURCjx49okOHDtHMmTPJy8uLvv/+e4qJifn7NdP3dPDgQQoICPiAleb3VLem+Oc7SyWSLykhgU/Fxa9Xe/2obn0v/QONg/ncsHN8n4Hi4mI4OjoiNzcXP/zwA7y8vAAAc+bMwdWrV3H+/Pk33na+aNEinDp1CocPH4adnR1EIhEmTJiAyMhIEBG6dOmCvXv3vvUcmEQiwaJFi3D8+HH4+/sjMTERZ86c+T/2zjs6qmrtw8/MZCa9F9JIAukJIVQpCT2hBUSQICBFUQQEFBC5CtIFASkKCogYqjQpKhfESDG0IB0MCIQOoaT3yWTK+/0RHM0FFL+rV9E8a81iseecffYpmd95934L48ePJzo6moEDB2Jvb8+yZcuoUaMGwH1xf25ubuzZs4dRo0ZhY2PDhx9+iLW1NQMGDODkyZM4Ojoye/Zsevfu/UjXYMeOHbzzzjvcunWLgIAApk2bRoMGDUhKSmL+/PloNBpef/11EhMTK2L9MrZTcGAkZy/nUlpaipeXF8HBQagt1I920cvuQkAvCBv5SJsXFBSwZMkS0tLSKCsrw9/fnxdeeIHQ0NBHO96fzO3bt0lNTSU10XuwSwAAIABJREFUNZUbN25Qv359mjZtSv369bGysvpdjmEwGBg9ejTt27enffvfHs93P8XAC8BVwOOhW+Xm5nL79m0iIiJRKIxUVIN/CRj8O4yhiscR1aRJkyb92YOo4pexsrKia9eurFmzhs2bN1OnTh2Cg4Np3749P/zwA++88w4JCQk4Ov5UCTs+Ph6tVssbb7xBrVq1CAoKolu3bty9e5eTJ0+SnZ3Nli1b6Ny5M9bW1pWOp1AoaNu2LTVr1mT8+PH4+PgwdOhQJk6cyM2bN1mzZg2nT59mwoQJ2NnZUa9ePaKioujZsyfbtm1j+vTpuLm50blzZwYMGMCVK1d466230Gq1rFixgpo1a/LNN9+wceNGduzYQUxMDG5uvxwQfe3aNcrKyli7di3p6elMnjyZ/fv3M2DAAMaNG0d5eTmzZ8/m008/xd3dnTDdGqwsTFT3D8LJ0ZHbd26Tnp6OVqvF0dERC9WvBH4rNZB/GgJ6g/LXg8Tz8/PRarUMGjSIPn36YDKZmD9/PgkJCf/jIPP/H/b29oSHh9O2bVtat26NXq/n22+/5eOPP+bcuXPo9Xrc3NywtLT8fx9DqVQSGRnJ3Llzadq0Kfb29v/lqDVAC2AfkAFYA/cnOLCysiYzMxNLSxNWVkVAb2A4Fbk7q/gnUmXxPUacOXOG1q1bYzAY2LZtG40bN8ZkMvHyyy9z8OBBduzYgbe3d6V9li5dyrRp03j33Xfp3r07AJ988glTpkzBw8MDnU7Hhg0bCAsLe+Axr1+/zrPPPovBYGDevHlMmDCBzMxMli5dyp07d3jttdeIjo5myZIlODlVJAp+kPWXlpbG0KFDycvLY+bMmTRr1oyRI0eybt06lEolL7zwAtOnT8fKyors7GyWLFnCmTNnEBGaN29OcHAwX3/9NWFhYSQnJ6NUKtFqtZw4cYI2bdrQtm1bdu3axaFDh7h27Rqze5XzVOvauHt48P3lQuZsuEyraFvWfXMNg0FP/3h3agT4sTL5DoWlBrrGetKjVcW1u3CjmCX/vs7Nu/lovFvQtHlbXnzxxd8sYD169GD69OkEBQX91lv9l6G4uJgjR45w6NAhTp48SVBQkDlzzK+9rDyML774ggMHDjBjxozfKRNPITAb+JqKjCz2VIig4t7/CyguziMjo4iQkHkoFE9TJXr/cP7MedYqfjv79u0TZ2dnqVatmpw9e1ZEflrXi46Oltu3b9+3z2effSb+/v6yePFic1tycrLUqFFDmjRpIoGBgfL11w/PYKHX62X48OFSs2ZNWbt2rUyaNEn8/f1lzpw5kpWVJV26dJHw8PBKtQQftPZnNBrl/fffl5o1a5odHY4cOSJ169YVW1tb8fPzkw0bNsiwYcPk448/Fq1WKzqdTs6cOSM7d+6ULl26yI4dO8RoNMq2bdukX79+cv78eenevbt4enrKoEGDpLCwUI5+t0861rOSVcOs5OA7brJ3brQ82bSarB1fV/Q7O8qmibWkZbhCnmuO7HunmpxfHiPdmnnKnU3xIns6SfrqVnJuRUsxbGssd9P3yuDBg+Xzz39bvNelS5eka9eu/4Ng8v8dZWVllRJpjxw5UjZs2CA3btz4Tf2YTCYZO3ZspTCZ34ccEVkpPyXErisVnpsvisn0rYwePUJSUlJ+52NW8ThSJXyPIZs3bxZHR0fx8/OT69crso4YjUZ57rnnpF69eg+smrBr1y6pWbOmvPPOO+a2tLQ0iYyMlMaNG4u/v78sXLjwF4+7fv16qVmzpgwfPlz27NljTneWl5dnrhwxYsSISs4RD/L8zMjIkKeeekqCg4PN3prz588XNzc3sba2Fk9PT0lPr+x4sHPnThk4cKD5/2VlZdKpUyfJza2IFzt8+LC0bdtWAgMDZfq0KTKlr6dsnlxXflgcJEtespSWtTSSvSlGZE8nKd3RQWLC1LLweeTL15Dt/1JJr+a2smdu/cpOLjsaixRelM8//1zefvvtR74/JSUlMnToUNmwYcMj7/O4odfr5eTJk7Jo0SLp37+/DB48WFasWCEXLlx4JOeVzMxMefbZZ+XSpUt/0AhNIlI5GcGJEydk0KBB95JcV/FP5p+V8fdvQteuXZk1axZ5eXnEx8eTm5uLUqnkk08+ITIyko4dO95X061169asX7+epKQkXn/9dQAiIyPZvXs3SqUSFxcXZs+ezciRIzGZHlynrEePHiQnJ3PkyBHGjx/P+vXrUalUNG3alIiICHbs2MHhw4eJiYnhzJkzAPTq1YsDBw4AFfX+1q5di7e3N1u2bGH69OnMmDGDhIQEEhIS+OGHH2jSpAk5OTk0bNiQsWPHVqoz+ONUKmBeayorKwMq1o+ioqLw9fVlztz3+eZoFjcy7hAaGkr9BvVxtNVw8uRxjhw9Qn5+NgqFAjcnS5RKBSJCeVkph4+e4viJE1y4lsOUFefoOyudHs+PZuXKlRQWFj7SvSkvL2fq1KmEhoaSmJj4SPs8jlhYWBAdHc3gwYNZtmwZI0eORESYM2cOAwYMYMmSJZw+fRqj0fjA/d3d3RkwYABz5869r5bk74MCUFVqiY6OxtnZ+RfrSVbxz6BK+B5TXnrpJUaPHk1GRgbt2rWjtLQUpVLJ8uXLCQ4OJiEh4b6ing0aNGDr1q189dVXDBgwAJPJhIeHh7kgrqWlJcnJyXTr1o3S0tIHHjcwMJCUlBQiIyPp2rUr/fr1Y8iQITz33HOsXr2alJQUWrRoQUJCAnPnzsVkMuHu7s5nn33G5MmTmThxIomJiWRnZ9O9e3eOHDlC9erVadOmDR999BELFiygRYsWeHp6Mn/+fMLDw9m+ffsvXgu9Xs/06dPp2rUrO3fuJDMzk7CIaEqKstm3bz/5efk4OTkRGxuLlZU1x4+fwGg0YWVphY2NDWq1GpVKBSjIy8tl0pLDWJTfZvqIdmzYuIV+/fohj7AUrtfrefvtt3F1dWXYsGGPfC8fdxQKBSEhIfTv359FixYxZcoUnJycSEpKom/fvrz33nscPnz4PoFr1aoVPj4+rF69+n82zj59+rBmzRoMBsP/5JhV/DWpEr7HmAkTJtCvXz/OnTtH586dMRgMKJVKPv30UwICAujQoQP5+fmV9gkNDSU5OZnTp0/TvXt3ysvLsbKyYtOmTbRt2xatVsvt27dp3bo1N2/efOBxNRoNixcvZsKECYwYMYKrV6+yefNmtm/fTrt27RgxYgTLly8nKSmJzp07c/fuXeDB1p+dnR1Llixh1apVbNmyhQEDBuDs7Mxrr73G6NGjycvLIzExkXHjxj3U6jIYDOj1ehwdHVGpVJw4cYIcgxc+Pr5U9/Xi8uUrZGZlUlxcQmRkBK6urlhYqCgsLMRgMKBQKFCplFhaarC2tqHcCBqVgUHTdtGhQwdWrVr1q/fCYDDwzjvvoNFoGDlyJArFP9N5QqFQUL16dXr06MF7773He++9R82aNdmyZQt9+/ZlxowZpKSkUFJSgkKhYOjQoaSkpJCWlvY/GV9kZCS+vr4kJyf/T45XxV+TKq/OxxyTyURiYiLJycm0b9+e9evXo1Qqze23b99mx44dODg4VNovPz+fJ598Eo1Gw+eff46dnR1ApR+r27dvs3Llykq1AP+Tc+fO0bdvX+zt7Vm6dClTp05l//79zJo1i7i4OAYPHsyRI0eYMWMG3bp1M+/3IM9Pg8HA5MmTWb58Ob6+vvj5+aHT6bh8+TLp6ekAvPnmm4wdOxYLCws6d+7MkiVL8PLyYtu2baxduxaDwcATTzyBwWDAq3wffRvc4eQNKyYnnWJYvAErKytsbO2YsF7H8LaCpVJHaWkJn+wx0Sranro1LCjWWTB/ax6Hrtnj7u5BVlYWTk5OrF279qHXIi0tjTfffBONRlPJU3HSpElERkb+v+/v34mCggIOHz5MamoqaWlpRERE0LhxYzQaDZ9++ikLFizAxsbmDx9Heno606ZNY8mSJWg0mj/8eFX89agSvr8BBoOB+Ph4jh07Rt++ffnwww+BClF8+umnycrKYseOHWZx+5GysjK6detGfn4+X3zxBe7u7gBs2bKFUaNGERYWxrlz55g5cyY9evR46PHLysoYPHgwBw8e5P333ycnJ4eJEyfSsWNH5s2bx7p165g4cSKtWrXigw8+MAdEZ2Vl8fLLL3Pq1CkmT55Mr169ADh//jxDhgwhMzOTGTNm0KlTJ7Zu3cqIESPIzMzEx8eHDz74gLi4uF++MOUFcOh50GaApQflej2HDh2irEyLu7s7SqWSatU8uXUrg5ycXMrLy/Fw1qDRWHHKZhRHf8hi69atJCQkALBt2zbCwsIYN24csbGx/697VUUFWq2WY8eOkZqayrFjx8jOzjYnJqhWrdofdNQy4CCQyb//vZ5q1YJo2LA70ID/XA+s4m/On+dXU8XvSVFRkdStW1fs7e1lwoQJ5na9Xi+dOnWSZs2aPbA8kV6vl549e0qdOnUqVXA4cuSIhIWFSVxcnAQEBDySV+NHH30kAQEBMm7cOLlw4YI53dm5c+fk2rVr0rp1a4mOjr4vWfaDPD+NRqN8+OGHUrNmTenZs6fcvXtXtFqtjBkzRpycnMTe3l6efvrpB4ZvVEJ7V2RfD5Ht9aTsq+ZybK63FP27lRyb6y1fvWEhR2Z7yvF5PpKz8Qk5NdNSDr5tK3VqWktISIiMHz9eUlNTJTY2VqKjo2XdunXy+uuvS82aNSUuLk527dr1q9ekil+nvLxc9u3bJ02aNJF27drJ8OHDZc2aNXLlypXfKb3ZDRGZLyLNpKJcUl0pK6slly+7iNFYXyoSVq8SkV8volzF34Mq4fsbcffuXQkODhZHR0dZsGCBuV2n00nHjh2lRYsWD8yRaTQaZciQIRIWFlap5NG1a9ekQYMGEhMTI6GhofLcc8/9ah7HU6dOSZ06daRt27aSkZEhI0aMkBo1apjzaf5YAHfSpEmV8ms+KO5PROT27dvSvXt3CQwMlI8++khEKhIet2zZUuzt7cXd3b1S0dwHUl4kcmGx3F4dLndX+leUIEpuIZeW+MnxmbZyfLqFnH3PSQ4u7SItG4fJkiVLxNvbW+zt7aVRo0Zy7do1mTt3rlSvXl18fX2lXbt2EhYWJra2tuLu7i6xsbG/dmuqeATOnDkjffr0kdTUVPn4449lwIABMnDgQPnkk0/k7Nmz/08RTJaKavENRKSt/GeF+IyMeiLS+t73rUXk7O90NlX8lakSvr8ZFy9eFF9fX3FycqpUiUGn00m7du2kdevWP5Xt+Q/eeustCQoKqlSBoaioSNq3by916tSR+vXrS5s2bcxljx5GUVGR9OzZU8LCwmTPnj2ydetWCQ4Olr59+0pJSYk5aL1Vq1Zy9WrlRNAPsv5EKmIXw8PDJS4uTi5cuCAiFUmPfX19xd7eXqKiomTfvn0PHZPRaJQBz/WR2yc/FTn2msjB/nJlTTM5s7KNpG4YIwE+bhIcHCy1a9eWzp07S3p6urRt21YCAgLE3t5eRo0aJenp6fL0009LSEiILFiwQPLy8sw1EmNjY39zkHsV97N8+XKZOnWqmEymSom0hw4dKn379pUPPvhAjh8//oiJtP8tFUms28iDEliXlsbJsWPeotd3uNfWTCpq/J35Y06uir8MVcL3N+TIkSNSrVo1cXV1lR07dpjbtVqtxMXFSVxc3EPFb968eRIQECDbt283txmNRnnhhRckNDTUPF35n/UAH8T8+fPF399fpk6dKhkZGRIfHy/R0dFy5MgRc422mjVryvLlyyvt9zDrr6ioSIYMGVLJYiwqKpJBgwaJo6OjODo6Su/evSsJ5s+vyahRoyq17dq1S2bPni0iImPHjpWpU6dKRESEWFtbS9++feXSpUvy7LPPyuDBg8XDw0P8/f1lxowZsm7dOomKipIWLVrI0aNHRavVyvTp0yU0NFQaN24sGzZs+MPL/PxdKS8vl2HDhsnOnTvv+y4jI0M2btwor732mvTs2VNmz54tBw4ceMizfEYqpjXj5JeqN1y6FCk3btT9WVszEWklFVlgqvi7UiV8f1N27Nghrq6u4uHhIYcPHza3a7Vaad26tbRr1+7BFctFZMWKFeLv7y+rV6+u1D516lQJCAiQp556SgIDAx/44/SfHDlyRKKioiQhIUFycnIqpTsTqai5FxwcLM8888x9ldofZv2lpqZKw4YNpWHDhmbr9NixY9KwYUNxcHCQatWqyfz58yuJz/Tp0yu9BIhUTMu++eabIlIhgpMnTxaj0SiJiYliZWUltWvXlmXLlsmzzz4rq1evlhYtWkhkZKSEh4fLzJkzZfjw4RIYGCgjR46UgoIC0el0Mnv2bAkPD5eGDRvKqlWrqgTw/8GVK1ekd+/eD8xA9CM5OTmybds2eeuttyQxMVGmTp0qO3fulMLCwntbjBaRRvKgCu0//5SVxcuxY95SXt7uZ+0NpGLNr4q/K1XC9zdm9erV4uzsLL6+vpUstJKSEmnZsqV07NixQvwKLoikvSNyoI9IylMi+3vJhc+6S+cYL1mw4P1Kfa5atUoCAgKkZ8+e9+X/fBgFBQXSrVs3iYiIkP3798u+ffsqpTu7e/eudO7cWcLDw+8T04dZf0aj0SyiQ4YMkaKiIrNDjJeXlzg4OEi9evXk0KFDkpeXJ88888x965s3b96Ul156SUQqXgieeeYZycnJkdLSUuncubOEhIRIQECAxMbGSocOHWT79u3Sr18/GT16tNSrV0+ioqLkjTfekNjYWKlTp45s3LhRTCaT6PV6mT9/vkRGRkq9evVk6dKlVQL4G9m4caO88cYbj7SuV1RUJLt375Zp06ZJjx49ZNq0VyU3N1h0up+svYcJn0gnuXKllly7Fv2zttZS4fDyx9QlrOLPp0r4/ubMmTNHnJycJDAw0FyVXaTix2Jw92jZ+baPGLfXF/mqoUhyC5FvWot801Lkq0ZS+FmY7JpgI2vffUbkZz9AKSkpEhQUJE8//bQEBgbKqFGjHumHfdasWeLv7y+zZs2SvLw86datm4SHh8uePXtEpGJqNCAgQEaNGnXfGs7DrL8LFy5I27ZtJTw8XDZv3iwiItnZ2dKnTx/z9Gfr1q0r5Sj9Ea1WK926dTP/uL7//vuyadMmERE5evSoNGvWTN5880159dVXxcvLS/z9/WX9+vXy8ssvy6JFiyQpKUmio6MlOjpaevXqJaGhodK9e3e5fPmyiFSI88SJEyUqKkpq164tCxcufPB10utFcnJEbt0Syc8XqRJJMRqN8q9//Uu2bNnym/YrKyuT9PRxcutWdTl2zFvS0mrKhAm+0rGjm3Tr5indu3vJxo315cyZFjJ6dE155hlv6dfPWxYudBWd7udWX0MROfjLB6visaVK+P4BvPHGG+Lk5CS1a9eucEwxmUQurRDDv+vIiVn2cvhdDzHtSXhgNfKizxtK2ruW8tXMBmIs/2kt5cKFCxIdHS3t2rWTqKgo6dq160PXDX/O/v37JSIiQrp16yYFBQXmdcC33npLjEajnDlzRho3bmyu+v5zHmb9iYgsWbJEAgMDK4U4pKSkSK1atUSj0YiHh4csXrz4PuHp0aOHOcwjLS1NhgwZYhbCGTNmSOvWrWXnzp2SkZEhnTp1EltbW+nevbu8+uqrMnXqVCktLZVFixZJZGSkREVFyRNPPCHh4eEye/Zs2bt3r9SqVUveffddWbZsmdSrV08iIyPlvffeqxD2a9dE5s0TiY0VadhQ5IknKv5t00bkk09EMjN/+83+G3H79m3p3bt3pTCbR2OUiMSI0Zgg+fnN5cqVWtKli41s2OAlN27UkcuXY6R7dy9JSWkien1HKSxsL/v2hcrVq1Hyk/DVE5G1v/cpVfEXoSpl2T+Ad955hy5dunD9+nUSEhIov7gazr+PyroakXVj0On0HDt2DOH+XAZ2jtUICG+Cn0Uan09viOle0uHg4GB2796NTqfDzs6O7OxsWrduza1bt35xLDExMRw4cACdTkdsbCxNmjTh888/Z/v27cTHx+Pk5MS+ffto2rQpHTt2ZMGCBeZ9H5bzE2DgwIEcPHgQtVpNTEwMCxcuJDY2lrVr11K3bl1zVfnY2FhOnjxp7tPV1ZWcnBwAIiIi0Ov1XLx4EYDBgwdjb2/P+++/j0qlYuvWrSxdupRDhw6xceNG9uzZw5gxY+jVqxcnT57k+eefp6CgAKPRyIcffkj79u1JT09n1apVNGnShCNHjjB27Fi+WLGCNR4e3I6JwbRqFdjYQLVq4OFR8S/AokXQqRNMnQr3EnH/0/D09KR///7MmTPnN+bWLARUKJUKHB0dCAgIwMXFFR8fb0SEjRvP4eKST2ysMxYWSuztLWjUKICcnBx0Ot29PhRAwe9/UlX8JagSvsecXbt2MWbMmF/dLikpiZiYGEozv+fKV8MRjSso1agtLGjU6Am02jKOHz/+QPGztbUjMDKGCIfLTB7SxFwRwcXFha+//hp/f3/y8vLw9PSkTZs2HD169BfH4uTkxJdffkmPHj3o3r07+/bt48CBA/j5+dGiRQu2bt3KnDlzWLp0KYsWLaJz585kZmaa939Qzk8ADw8P1q5dy/vvv8+iRYuIi4vj008/5V//+hcnTpygZcuWnD17ltatWzN48GCKi4srCZ9CoaBNmzbs3LkTAEdHR1555RVMJhOzZ8/GZDLRs2dP1qxZQ+3atSkrK+Ozzz6jbdu2ZGRkMHLkSE6ePMlzzz1HQUEBpaWl6HQ6zp8/z5gxYzCZTPSOi2OXry8JLi5cKi7m2/PnSb92DePPK2JYW4OnJ7i6whdfwJAhUFLyq/f470h8fDxubm7me/xo2ACVq0IoFGBjY0P16tWxtfXC39/BnEMWQK1W4+Hh8bMXNxNQOdNRFX8fqoTvH4JSqWTjxo281N6F4uJiTpw+YxY5tYWaRo0aUVpayokTJx4ofpaW1gSG16Vl9Wt06NDenDD6xzyLHTt25PTp08TExJCYmMimTZvM+44dO5Znn32WHj16MHz4cL777juUSiVvvfUWy5cvZ+HChTz//PN88MEHTJw4kdGjRzN8+HBatGjBoUOHsLOzIzY2li1btpj7/CXrr1OnThw5coSwsDDmz5/P/v378fT05PPPP2f16tW4u7uzfv16atWqxaVLl8zCBxXlm/bt22euJNCqVSvq1KnDpUuX2Lx5MwDNmjXjtddeIyQkhJkzZ5Kfn0+dOnWYNm0aGo2GN954Aw8PD9RqNQA6nY5t27Yx7+23YfhwFJmZuIaHExsbS0REBJlZWaR8+y299+3jRF7eTxddpaoQwLQ0eOMN+AdWFFAoFAwfPpzk5GR++OGHR9wrAHh4qSN3dw3l5Xbcvn27kiXp6elJXl7evRc7C8Djvxh5FX9lVJMmTZr0Zw+iiv8/V65c4dKlS8THx//qthZSRl3lRq7eyicvvxCdToeHR8Uft0qlwsvTi8tXrpCXl4unpycKKlcYUKms8HNXcey6Fe/MW0rnzp2xs7NDoVAQHx+PpaUlq1atomPHjnz44YeUlZURGxtLYGAgzz33HM888wyBgYG8/fbbxMXFYW1tTUBAAD169GDNmjUsWLCAwYMH88ILL7Bw4UKSkpKIi4tj0KBBODg4MG7cOM6cOUN8fDwWFhYAREVF0bNnT7Zt28b06dNxc3MjKioKCwsLVCoVtra2HD58mI8++oiIiAji4+MZNGgQJSUlpKam8v3333Po0CFatmyJh4cHtra2nDhxAmtra/z8/FAoFERERLB9+3bS0tJo2LAhzs7O1KxZE0tLS7766is+/fRTVCoVc+fOZdWqVTg5OXHx4kXs7OxwdnbGaDRSVlZGrbQ0nsjJwSogwHxl7ezs8KteHVtbW4ILCii8cQOdToeTkxMqpbLCVLG1hXPnICwMAgJ+z8fnscDKygovLy8WLVpU6d4/HHdgI2AL9670vn25eHhYEhRki4eHhuXLM/D2tsbWtgwLCzsyMrS4ulphMgkFBZk4OzsA4wD1H3puVfw5VFl8jxHZ2dlMnz6dZ599lt69e7N48WLzd0lJSfTs2ZMXXniBY8eOmdt37tzJkCFDSExM5MX+3dl5PJ/6DRqj0ajZd/wG3cbuZVPKbfpMO8GLs8+AQwhHzuWTOPZbek09zoY9P63ZXbhZwr8+uUlWdg45OTnUr1+f8+fPm78fNGgQCxcuZMeOHcTHx7NixQpefPFF/Pz87tW7q3iDNxqNZusMKqYov/rqKzp16kSXLl3YvXs3KSkpNG7cmA4dOrBixQr69+/P7t27uXjxIk2bNq00nfow6y85OZnnn3+eAwcO0L17d/r168fAgQMpLy9n+vTpHDx4kNDQUK5evUqLFi0YOXIkpaWllaY7ocIS6NOnD9bW1rz77rtma7BDhw48+eSTvPXWW7zyyiscPXoUW1tbXn/9dRQKBYsXL+bs2bNkZ2eTn53NcBcXzt6+zeHvvqOoqKjSvfXw8KBJkyZER0dTkJ/P3pQUzpw9S7leXyF+VlbwCOWR/q40adKEiIgIkpKSHmHrICCCn6/RJSZ6sX79LXr2PM7+/blMmhTCwYNGBg1KZ+jQU1y5ogXA07MaJlMOubmtqJgyreJvyZ/tXVPFo2E0GmXYsGHy8ccfi1arFZ1OJ2fOnJGdO3dKly5dZMeOHWI0GmXbtm3Sr18/s2fi4cOH5datW2IymeT7r6ZLt6aOcnF1Kync2kI+GqiRxsEKmT/YV/Q7O8qOmU9IlyZOMq6nt2x/00b+/ZaHdInxkOvrW0j5N+3khxXN5MzHdUR3YJDcvHlToqKixNvbW06cOFFprKdOnZKIiAhJTEyURo0aSXx8vLz55pvStWtX6dSpk0yYMOGh8Vnbt2+X4OBg6devn2i12vvSnf08fm/KlCn3eWn+6PkZEBAgzZs3r/T95cuXpX379hIWFibr168XEZHvvvtO2rRpI35byyt3AAAgAElEQVR+fuLs7CyBgYGycuVKc0zfjxgMBnn1lVdk0PPPy5J7OUN/ZP369TJkyBDJz8+XrKwsadmypdStW1f8/Pyka9euFTGU+/eLNGwo5e3ayemAAPnG2lpO+flJWXy8SKdOIp06yYDq1eVEs2YinTpJTtOmcsjDQ3ZaW8v3AQFSFhcn0qCByKVLv/3hycwUOX1a5PBhke+/rwideAwpLi6W559/Xo4ePfoIW38rFZ6ZP6Yje/AnI6OepKeH/awtTnJyguWDD17/Q86hir8GVWWJHhPOnTvH1KlTWblypdl6ggrnlvXr17NkyRKgYj2pe/furFy5Emdn58qdpH/M21MnUjvUhydjPNl/4gZvfPQ947qqiK5dG2cXD1q8/BXPt4DqriACS/dAy0gVtfwsUCqV2FvBjXwrpu+qQWFhIVlZWeh0OqKjo/H29kaj0WBpaYler2fXrl1YWFigVqspKSkxF8stLS0lPDwclUplnpL8+aekpISVK1dSVlbGwIEDcXBw4OOPP6awsJAhQ4YQHBzM5cuXWbRoEQ4ODrz++ut4enpW6mvGjBns37+fevXqMWHCBNzc3MzH27JlCx988AFhYWH07NmT0aNHM2DAAPLz89m4cSNGo5Fq1aoxbNgwhvfsCVu3woYN6G7eJOPWLUwKBc4xMbi++io0awYaDatXr+bw4cNmizw1NRUnJyeCg4NJS0tjnqsrnUTQ+PoCUFxczNmzZykuKcGvenX8/f0ZfPYswwMCqOPoaL5l+fn5XEhPp7CwkBBbW+ymTMFlyBAALl68iEajwc/P7/4HxmiEo0fh00/h0CGwsKi4oQAmE7RoAb16QZ06FRblY8Lp06eZM2cOH3zwAfb29r+wpQBzgU8BTx5WdshoNPH996cJCgrCzk4N5FJePp6BAzczfvx4goKCfvdzqOLPp0r4HhP279/Ppk2bmDdvXqX2Xbt28fXXXzNr1ixz288LtB47doy1a9eSkZGBFF9Dl3OWp1vVoE+8L99fLuTtFWcYEFOEQgG1a9dlwNyLDGxehp2lEQsLCz78qoRGwRY0DLYku0jYdbqcU9eVnLltiYWFBba2ttjY2HD16lVCQ0NxcXFBpVLh5OSElZUV+/fvp7S0FG9vb27cuEGPHj24du0a9erVIyIiAisrKywtLdFoNKhUKkwmE0ajEb1ezyeffMLBgwfp0aMHTZs2ZePGjaSkpBAXF0dcXBxarZZ169Zx/vx52rVrR506dTCZTOh0OjZu3EhsbCx79uzh7t27NG3alJCQEIxGo1l89+/fz9WrVxERHB0dadSoEXq9nuPHj0NBAa8bjXSwtMTG2hqtRoNBpaK0rAxDeTm2RiOutrYYLC05UKsWp8LC+OHcOXJzc8nLy8NoNJKfn49Op6NGjRq8U1aGZ0YGtj4+hISEoLawQIA7d+5wMT2d8vJyZmi1TKhbl1gfH/5TigoKC8k6fZplCgWZTz/NuHHjeP311ykpKWHdunWVCw3fvAkjRsD16xUOMi4u8LPiuBiNkJtbIYChoTBvHri5/f4P7R/E0qVLycnJYcyYMb9S6d4IvAesoWLa0hHuu7KQlZVJaekN/Px8USjGAk+xbds2jhw5QpULxN+TX1slruIvgpubG1lZWRiNxkoW3y+h1+uZPn06o0aNolGjRlgUnuLtkV0Q00/vOtbW1oSFeXPu3DlOnjqJyWRDrVqR5GddQwQsLfWYTHpsbGw4dMaSyBo6OnRqw45zTnz33XdotVpatWrF9evX2bt3L97e3nh4eJCdnY1SqaR169YcPXqU69evEx4ezrp16/Dw8MDZ2RkRobCwkOLiYgoLCzGZTNjb22NnZ4eDgwP169fHzc2NDRs28MMPP/Dqq6/Spk0b5syZQ05ODosXL+all15i69atjB07FoCPPvqIY8eOYTAYmDJlCvBTtXdra2tztXeAHTt2MGzYMK5evWpet9uxYweKzEyutm9P7vffc9dgwEKvJ7RGDTyqVcNkNHL27FnUajU6Cwv8PT3pnZFB58hIsubOZc26dSxbtgxnZ2esrKzQarVoNBpaPPEEyhMnOHvrFvv27sXH1xc3V1eKi4oo0+nMISInT55EffMm7m5uODo54ejoiNrCAkcHBxyDghjWvj2jLl6kQYMGiAje3t5MmDCBuXPnVlR+v3IFXngBtNqfYgL/E5UK3N0rLMALF6BvX0hKAi+v/9ez+b+mX79+jBgxgr1799KiRYtf2FIFjALqAUnAOSqEz5IK9wYjoMPNDfbs8SAvbzh16jwFQNu2bdm8eTM//PAD4eHhf+j5VPG/p0r4HhNCQkJwdnZmxYoV9O7dG6VSyaVLl35xH4PBgF6vx9HREZVKxbHLwokrRvw9dZW28/fzR6cr5+KlyxQUFGChVuPj40Nubi52dkbs7MrJzc3l+g0IreZC6z4zqFeqZPLkyYgIHTp0MAd97969mwYNGtC9e3eqVatGWVkZ9evXZ9++fXz99df4+Phw/vx5dDodKpWKatWq4efnZxZDOzs7rKyssLKyoqysjOLiYurXr8/cuXN55ZVX6NatG08++SRffvkl9evXp3bt2ri5uVGnTh0OHDhAjRo18PHxoWXLlixbtgx7e3tcXFyYN28e77//Pg0bNuTNN9/kueeeIyUlBScnJ5ycnFAqlezcuZNXnn+eBSUl1LS2xqJ2bbTXrlFSUsL3aWm4ZGRQKyqKwMBALl2+jNFopNRgwM3PD8tvv8WtZk2mTJnCZ599RkFBAcOGDWPz5s3ExMSQvHMn7fV6atasyc2MjApv3IsXESp+ipVKJQqTCRQK8nJzUavVGAwGrl29ipW1NU6OjriUlVEtIoLVkybh6elJYWEh586d4+rVq3h5efGvgQPh5ZdBp3s0C06hqAiaz86GYcNg5coKD9K/OBqNhtdee42JEycSGRlpfpF5MAqg1b1POvAlcBUoBeyBWigUCTg732HRosV8+GEv8/R8z549Wb16NdOmTfujT6mK/zFV4QyPCQqFgoYNG/Ltt9+ydOlSPv/8c5RKJS4uLveFM6xdu5bOnTvj7OyMg4MDixcv5rPPPsNgMODtaoO98QrRIR5k5ulIPZPHU7GeuLq6UlKq5d/fFRDolE3tyBBKS0s5cLaERrX98HAAT7tilqfA1PfWcvjwYdq0aYNWq2Xo0KE0btyY3r1706xZM5YtW4bRaMTBwYGDBw+yadMm7ty5g6WlJTdv3qR9+/aUlJRgbW3NK6+8gouLC+Xl5WRkZHDmzBlSU1PZsWMHJ0+e5Pbt2yiVSuLj48nLy+Obb77hySefZMmSJTg7O7Njxw5atmzJ1KlT6d27N3l5eezatQsPDw/q1atHcXExt27d4vr167i6ulJeXk5SUhILFy5EpVLh5+dHSUkJDRo0ICwsjKjUVNzT0ii0sUGj0VBcVETNwECKCgspKi7mxvXrqFQqbGxsUKlUZGVl4eLujoW9PaSmomjZkpM3bvD999/z1VdfkZWVxalTp3BwcqJGejpFJhMatRqdTofRYACFAgGsraw4YDDQ1M0Np3uWsMFgIDQ0FCcnJ7RaLSWZmfRKTWXY+PEUFBRgMpkQEVQqFXv27KHeDz8QcP06Kk/P3/Zw2dhUTI96eUFExO/74P5BuLi4oNfr2bp1K61atfqVKc8fcQWaAh2BLkB7KqxBe7y8vDhy5AharZaQkBAAAgIC2LBhA/7+/lR7mPVcxWNJ1RrfPw19Eex/BvQFoHGp9JUgHD9+nOzsHKytrWjUqBEXLqTj7u6Ou7MtGTfS6fJOPpGNnyImJoa9e/fSqlUrunbtiru7u7mfM2fOkJiYSPPmzVm4cCE6nY7Lly9z8eJFdu3aZXa8MRqNqNVqZsyYQaNGjfD19a2YrgNEhPz8fDIzMyt9du/eTXJyslnYlEolKSkpODg4MGbMGK5evUp+fj4HDx5Eo9GwbNkyQkNDK51nVlYWcXFxXL16lXHjxpGdnU14eDghfn6Ev/oqOaWl3M3Lw9rGhrKyMqytrLBQq8nPy6OouBjuiY3KwgI7OztEBC8vL+xKSrjbuDGjc3NJTk7mxz8thULBW2+8wfMbNnDj5k3KRLC0tMTbx4f8vDzy8vIQEebo9XS3siIuMJDbt26h1WpBoaC6ry+Brq5YhIZyaPBgOnfuXCkcxM3NjTnvvEP8nDlk5eVh5+qKt7c3VlZWj/5cFBeDvX1FppjHxNnFaDTyr3/9ixYtWtC5c+f/ur+rV68yfvx4Fi9ejO09yzclJYWtW7fy7rvvPqK4VvE4UCV8/0SKr8Ch58Gkv0/8TCIcPvwdBQWF2NvbUadOHa6kn6FGdTdsmi7ks713eeGFF2jevDkff/wxX3/9NcnJyTRq1Iju3bvj4+MDwPXr13nqqacICgpizZo1lYKOr127RteuXbG3t0dEOH/+PLGxsSiVSmrUqEFwcDBBQUEEBQXh4+NjFsMfuXTpEs8++ywKhYKZM2diNBqZOnUqaWlp2Nra0rJlS3MWmjt37hAbG0vnzp3x8PAwf6ZPn87u3bvJzs7G29ub8ePH85ynJ0yYANWqodfruX79OtnZ2VhZWzNfhPbu7nyTmcnVrCxq6PUkANZqNY6Ojmg0GhQmE8rCQjprNFzLzb3vsg+2tualsjIy1Wqsra0REUxGIwqlEp1OZ15nVCqV+Hh7YzSZKC8vp6SoCF8LC3LeeIM6I0dSq1Ytrl27hlKpRKVS4evry9POzrx05QomNzdMJhPFJSXMLC2lm58fB4uKuF1WRnNXV/r5+vLe5cucKS4m1NaWN4KCsPvR4/PuXVi8GOrX/50fuD+OW7du8frrrzNz5kx873nM/je89957uLi40K9fPwBMJhPDhw/nueeeo2HDhv91/1X8NagSvn8qxVfh6DAouwsqa7BwML/pG4wGUlMPIYYSPF1t8Patwexdnrw8YQUeHh4cPnyYhIQE/P39WbFiBaWlpQwfPpzbt2/j6OiIr68vtra26HQ6cnJycHBwYNOmTdjY/BQQXFhYSGJiIoWFhTRr1oyNGzcybdo0IiMjSU9P5+LFi1y8eJGCggICAwMJDAw0C6K3tzd6vZ7hw4eze/duZs+eTZcuXZgyZQpz586lb9++zJs3D51Ox6ZNm5g4cSIeHh706tULrVZLZmYmGzZsQK/XY2FhQVZWFgCpDRoQbTKh9vgpVVVuXh4njh9nkVqNu6MjU8PDsVQqGXP8OA55eTQ3GBBAo1YTGhqKt4UFFu++i8NTT1FcXFzpkjuqVJxr0gT13bucysjAQq3GaDTi5enJjRs3KC8vR6FQICIolEpUSiUWKhUewCGTiaF6PaJSYTQaK7ZRKLC2tmbgwIHMdnVFPv+cfLWa/IICCvLzmZKfj60Ir3h64lO9OmOvXMFVrebVGjXwtbZm8oUL1LK3p9e9lxVu3apYI3zhhT/yyfvd2b59Ozt37mTWrFmPkNXll8nOzuaVV15h/vz55rXD1NRU1q1bx3vvvVdl9f1NqBK+fzLGMrizB66sgOLLgALECAol5QYDh09cYE2qCrw70KZDInv37mXWrFlYWlpy8uRJOnfujLu7O8OGDaNPnz6YTCa+/vprNm/eTI0aNejRowd+fn5069YNrVbL1q1bcXJy+unwRiMvvvgi3333Hf3792fx4sUMHTqU0aNHm7cpKiri0qVLXLx40SyIxcXFBAYGEhQUxKVLl1i5ciU9evTAyckJPz8/lixZgslkYvny5YSGhpKfn89LL73EqVOnmDNnDh07djTnJr1x4wYGgwERYblORw1bW+o0bYpGozGP4fLly4y+do1mKhUhRUW4ubmRptOxzWBglKUlBfn5oFCgVCqJdHXlI1dXpp89e9/lrlOnDpFubvRJScHfyorrWi3CTzkiS0pKUCgUqCwscHdzoyA/HwetlnRLS8Y7OXHpZ0mVf0ShUKDRaPimbl0C795FZ2ODAGIyMebmTdpaWBCo1VJWVsYGoGF4OMMDAwHYevcupwoLeSs4uKKzu3chMRFef/33eLr+Z4gIkyZNIiwsjF69ev3X/a1atYqcnBxGjBhh7n/kyJEkJiYSExPzX/dfxZ9PlXPLPxmlBTgEQ/WnwaM5uNQF9ybgGYeqRk/0Qa8wcd5mTp9Jx8nJCV9fXw4fPkyTJk3w8vKiefPmrFq1iqysLFJTU4mIiCAmJoZOnTqh1+tJSkri6NGjDBkyhJMnT7JgwQISEhLMMWdKpZKnnnqK7OxskpKSGDZsGB9//DHff/89CQkJKBQKLC0t8fT0JCIigmbNmtGlSxfatWuHl5cXxcXFFBcXo1Ao2LJlCykpKTRo0IB+/fqRmZnJlClTcHZ2pnHjxiQmJmJjY8PYsWM5e/Ysjo6OPPnkk2i1WnMs4dMmE45qNeevXEGj0ZjHefXaNb4pLKSGVosLUFJaihE4KMLTHh4VYQtlZRgMBhQlJewoKiLdwqJSAmQbGxtyc3M5dv48Oy0sCAVCASe1moKyMkxUhFybjEbs1Gq81Gpcra056eXF85mZZJWUoFarMf28igMVZZVatmzJ0y4uOOblobxnaRcUFJBcWEhNrRY7vR6AC4BlWRlNfXxQqVRc02q5VFJC6x+9IktKKgLaGzf+I5+63x2FQkF0dDTz588nKioKV1fX/6q/4OBglixZQt26dXF2dkahUODu7s6KFSvo0KFDldX3N6BK+Kq4lwvSDeyDwDG8QgxtvHFxcSUmJobPPvuMkydPUq9ePe7cuUNZWRnh4eF4e3vTtGlTFi9eTGhoKF9//TUlJSVERUUREhJCQkIClpaWrFu3DicnJwwGA/PnzycuLq6SC3rLli1xcnJi5syZDBgwgJSUFDZv3syTTz6JpaXlfcO1tLTEy8uLyMhImjVrxjPPPIObmxvnz59n9+7d5phAEWHVqlV8+eWX1KhRg2bNmtGzZ0+SkpLIyMhg2LBhdOzYkc2bN5Obm0t3R0eaBAVhaW/P+QsXyMnNxdHRkfPnz7OvvBwPwE+lQqFQkCHCVaORBkYjxcXF6PV61Go11iJsMxg4bzDg6Ohoru+mVqvRarUoFAoMajWfl5dzMzyc4SNG4Hz9OtrMTFysrPCytsbV2ZnS9u0J+uQTCuLiWLV2rdkq/U90Oh3FxcWEG404Xr7MxTt3KCgoQFdezj6djhDA5d5a4FVLSzQmEy73YiczTCZuGww/CV9hIcTHQ1TUH/GU/aFYW1vj7u7ORx99RNu2bR851vVBqNVqLC0t2bp1K61btwbAy8uLvXv3olarqVGjxu817Cr+JKqSVFfxizRo0IClS5eiUqn48MMP8ff3Z8uWLeZirg0bNmTNmjVs376d2rVrc+XKFUaNGsWVK1dQqVS0aNGCBQsW0Lt3b0JCQtBoNLRp04ZDhw5VOk7//v1Zvnw5SUlJNG3aFLVaTatWrX41VhEqpqIOHz7Mpk2bmDx5Mvv27cPX15dNmzbx6aefkpeXR+/evRkwYADjx4+nRYsWVK9enYSEBNasWUNiYiLFxcXYP/kkCq0WHx8fYmJi0JeXk5KSYnY6OQrki2Dp5MR+IEqppKCwEL3BgIOjI9wT21P3xvVj6SaA0tJSRASlUklZWRkmk4kbKhXK0aPRfvYZi9RqrpWUYDQa0RYXU/rppxh79uSJxYvp6uSElfLBf6omk4mMjAzePX4chVKJvZ0d1tbWGO8VDLaytMTK0hIPd3dsbW1Rq9Xk5uZy6dIl8gsKft5RRWB7s2aP9mD8BWnWrBmBgYEsX778v+6rXbt2ZGVlVWTxocKq7Nu3L2vvvYRU8XhTJXxV/Crt2rXj3XffBeDdd9+lXr16zJ49mzt37gDQqFEjVqxYwUcffYSHhwddunRh/PjxbNiwAaPRiEKhoFGjRsyePZsVK1YQEhJCfHw806ZNM4sKVFh+27ZtY9euXdjY2NC0aVPat2/P3r17f3F8Z86cQa1WExISwksvvcQXX3zBtm3bePbZZ80B7U888QRpaWmEh4fTsWNHEhMTSUhIYNGiRSxYsABHR0fOeHtTVFqKtriYjIwMVCoVVve8LwWIAtYplbxdUICjyUSMyUT16tWxtramsKAAB6ORIxYWWPj6YmNj80AL7UdBggrB5vPPKWnVihdLSrA1mUgvLuZKcTG39XpOZ2aiPXWKMTk5/NtkovEvLMenifB9URGG/HxKtVqsra2xtLREoVTi6OSEhYUF5Tod2tLSCmccjaZyxfG8PGjQAKpXf7SH4i/KkCFDSE1NNb+Y/X+xsLCgf//+LFu2zDy9HBUVhYeHB7t27fo9hlrFn0jVVGcVj0Tt2rVRKpUcOHCA1NRUOnXqxPbt22ndujUWFhb4+fkRHR3NmDFjqF27NiNGjODLL79k27ZtREZG4uDggEKhoFq1avTv3x+TycScOXNITk7G3t6egIAA1Go1bm5uJCYmkpSURGZmJr169WLcuHE4OTlRp06dB45t9erVNGzYkLCwMACqVatGnz59SE5O5s033zRniZk1axZz5szh7NmzjBkzhh5duvBqdDQx33xD/7t3iTp2DHVmJsbLl8ktKKDEZMLO0ZHi4mKOKBTUA+JFaKZUEm1pibOTE9nZ2ejupRvztrdnnkbD97m5lQT9QSgUCp43GIj65huu5uaSazDwYz6dH6uxFxYVcT0zk0KTCQ3wFGBdsyY3rK3vK2skADY2tNTpKBLB3t6eRoCfgwO+vr7k5+fTKSgIq7t30dzLClPL1ZVaIliq1Vjr9TBmDDwo4fVjhEajwd/fn/nz5xMfH1/JSem34uvry7fffotSqaRmzZoA+Pj4sHjxYjp27PhfTadW8edSJXxVPDJNmjQxZyI5fvw4devW5dSpU8TExKBQKAgICCAqKorRo0fj4+PDiBEjzAJnYWFBaGio2TGgefPmBAcHs3btWvLz89m2bRtarZaAgACcnZ3p1asXycnJfPvtt4wePZpp06Zx9+7d+7J0lJSUsGjRIl555ZVK64EajYaCggJSU1O5e/cuOp2OevXqMWfOHLZ++SVn33yTWklJGP79b2yMRvJEuJabS57RiL9Gg5PRSHWVCrXJRLZez0GTiRDAmQqRMRqNlJaWYjIasbK0pFVEBJerVWNWVha6B4jefzpE9LS0ZGh5ORfy8yl5yNSZgor1TB9fX9y8vVHb2hJ54wbflZVx/WeW44+c1+tp4+2Nv1bL7cJCLNRqHOztuXLlCvrycmpFRlKm1WJra0tRUREKpZJaERHkp6VR4u2Ng7097NwJJ05ATg74+MB/IRx/Fl5eXty5c4fU1FSaNm36/+5HoVDg5+fHwoUL6dChAxYWFri5uXH69GlKSkruS4xQxeNDlfBV8ZuIj48nLS2NS5cukZ6ejr29PeXl5URGRgJQo0YNIiMjee2113D7P/bePDyq+uz/f51l9plkJntCQhZIICwBIkQQZZF9EVTqXlutrfrV0vaRxce9auWnbUW0oFZcKy5gEdFHEQUBBUTZgwJhDSRkz2QmmX3mnPP7YyZTttpiBfV55nVdXF7CzOFzksPc+dyf+/1+p6Uxbdq0eLLC6tWr6d27dzxOplevXvTv35/nnnuOCy+8EL1ez9NPP43L5aKoqIjrr7+eQ4cO8cILL3DvvffyyiuvsHbtWi655JK4XmvVqlWIosioUaNOWKemacyZMydunVZbW8vatWv51Y038stjx+i3cye7a2qobW/HHQziiUkJwkCrqpJnMqFEIoheL2myzIaUFIoFgSRFiQ/OaECSzUZKKMQ+Wca2cCHrN2+Ot4A76YxK6myZWYC/KApOReGb9oUC0WlQURBobGwkrKokJyVxkSzzot9/yustVivvulz0VlX6xqZFnW43oXCYSCRCamoqoiRhtljompeHwecjo7kZqyhyZP9+GtasQT1wAKGyEnn9eoQ33oi2QPPy4LiopB8Dffv25bXXXotLXL4tnUNTjY2N8Wc8Ly+PZ555hokTJ/7HusEE3w+JwpfgjJkyZQqffvoptbW1NDY20traSmFhITk5OQB069aNHj16MHPmTDIzMxkyZAgXX3wxXq+XefPmYTab6d69O4IgUFhYyNChQ3n44YfJyspizpw5VFVVsWDBAhoaGrjpppuw2+3MmTOH3/72t3z55Ze88sorTJ48GYvFwoIFC5g2bRrZJyULCILAlVdeyeWXX86wYcM477zz2LN7NzlvvEHPvXtJLinBnJxMbU0Nj0cipAMpgoAgCBiTkznS3o5dVTHIMg6DgUvNZto6OgjHdlp6IA2waBqR4cMZvWMHLy1eTHp6Oi0tLaec5R0vQxgHXAx4JYmkpCSMJhM2q5VwKERBfj7hSAS73Y7X6406t/h8mE0mzCYT3kgEeziMq6CAytbW+L3abDYCgQABRWGNLJPucFDq92PTNAQgArQ6nXTNzcXf0ECO34/d6cSv16Pr14+gycTBxkaavV5ag0FqXS6SHA6MX38Nb78NPXv+qNqgsixTUlLC3LlzGTFiBCaT6Vtfq3v37jz55JOMHj0ao9GIw+GgqqqK1tZWev1IvE0TnEii8CU4YwRB4LLLLuP999+nqakJj8fD/v37GTJkSFz71umy0tn27NOnDz179qSiooLXXnuNDRs2UFZWhtlsJicnh3HjxvHII4/w9ddfM336dD744ANSU1NZtGgRqampjBs3jscee4wpU6agqiqPPvoo+fn57Ny5k5tvvvm02ipBEDCbzXTp0oXy8nJuu+ACChcvZp/LRVt7O4cPHcJsNrOuc+w/JkIXAL+iUKdphAwG7FYrWnMzkqIgiiIZFgtFeXm8azTyoKqyKBBA0Olwu93U19efUPRORq/T8fHAgaQmJ9Pq9eKLFTeDwUBEUfgkFOL1jg5WhkLsliSKs7PpkZJCq9NJOBSKToT6fERaW9mSkhL18ySaxNE5SGRPTeW9piZWpaayx+ejCMgALOEwIb+fUDiMXRbYvhAAACAASURBVJY5YrWyq7WVZqeTvNxc2traqA+FeD4Q4GNNIyM1lZ7Z2VE7s/feg969f1TDL6mpqfj9flasWMHw4cO/tf7OarXS1tbGzp0747Zl+fn5zJ8/n/Hjx6PT6b7LZSc4BySmOhN8K4xGI8uXLyctLQ2Xy0VVVRUPPfQQPp8v/prJkyczd+5cZs+ezbJly4Bom+hPf/oTffv25Xe/+x2rV69G0zRKSkr46KOP2LFjBwMGDGDr1q14vV6ef/55unXrxrp16xg/fjyLFi1Cr9dzxRVXcMMNN5CSkvIvP9AqKyupr6+HN97AaLUSDIc5euQIKSkplJaWxqNJ1djUZCgcRotFBPmNRtY0N7NZVWkUBLb84he8NGoUVzoc3NnQQK0sEwqFTjCN7iQ9PT3eCpMkCb1ez4TzzqNl504ONzczcOBASktLURWFVqeTQCCALRzmv7OzWTZ4MJc6HDxdX49flulXVoYGhCMR2iWJSTYbRoMhbgPXuaPU6/V4PB7MZjNHWlpYKctcAwwTRQYBNwUC+J1OqiIRqmpqombgbW3srKxEp9ezSRQpFEUeMBiY2Knvs1jAao0Ov9TVfbsH5nviqquuwu12s3Llyv/4OuvXr+fYsWNA9DkuLy/n3Xff/S6WmeAck9jxJfjWGI1GJk6cyOLFi2lvb6elpQW3282wYcPixai0tJTc3FxmzpxJUVERPXr0iFp79e7NgAEDeOmll9i6dStlZWUkJyezefNmtm/fTjgcxul0cv3119O/f38mTZqELElYDhyg+4cfMnDrVq5TFDI3bcK1Zg25ffpAVtYpyQIdHR387Gc/o/KTTzh/9Wq2V1djtloZOHAg1dXVHDh4kC2SRBebjbeDQVZrGo2qShGgi4nVRVHEG4mQBLxQXc2SvXs5HCsagUAAr9eL3W6Ph8kCzJ8/n5KSEtatW0dqampc+/XQrbdyYUsLDbEsvc6CabFYCIXDpCgKwY4OamtrKbJa2ez1km+z0X7oEOFwGL1OR3FJCd2yskj/7W/5cscONE2LyxI6E+b1ej16vZ5gMIggCPz1r3+lrKyMq48cweh00uDxIMZ8PwGkmFH2JlVlct++pIZCHDp8mIyMjOiORq+PCtwNBqioOMtP1ndH57M2d+5cLrjggvj58pliMBgQBIFVq1YxbNgwIBpb9Je//IWxY8ee1mghwQ+XROFL8B+RnJzMyJEjefPNN/F6vRw6dAi73U7f49w/evXqRXZ2NjNnzqS4uDied+ZwOBg7diy1tbX85S9/wel08uGHH8bPyRoaGiguLqasb1+k1aspXriQ0Q0N9DQYcDY2EgoE6JmXR/jrrwm89Rb29esRbDYoLo4XwOeee44NGzZgWL+ecrebrn37opNlduzYgd/vJzMzk88VBb/Fwh2ZmfRoa2Mz0A7kaxpWqzXquhIIYAb8fj/rBOGEMztN0+Jj851DLCtWrGD79u2EQiH8fj+KoqAoCltWr2ZwfT2tPh+yTodAVL6gxAZmdhCNSl2taawOBHApCg6XiwxVJSkpibT0dFpaWwm1tnLLpk3UNjURCoUQRRFVVeOSEb/fH2+DQjRZ/tZLL2XEl19S3d4e/zs71x8Oh1lqNtNisbDL52MjMMBopO7AAVLT0qIf7DodVFbCNdfAj2ioIzk5GZ1Ox5IlSxg1atS3bnl269aNRYsW0b17dzIyMrDZbNTX13Po0KF/KrVJ8MMkUfgS/MdkZGRw3nnn8fbbb+P1etm6dSvl5eUnxMT06dOH9PR0Zs6cSc+ePenevTsQ/Ym8X79+9OnTh3feeYfy8nKuueYasrOz2bVrF2s/+YT/FwigW7AAVBUhJQVTairecJgIUNfcjD45mSavl/a6OtK3bkV0ueCCC6itq+PWW2/l4MGDDIoJwGtdLpyxyKBBgwZRXFzMCqeTgeEwhvp6dESnLj8HKiAq+o4VEB3R3O73TvLLhH/4RQ4aNIju3btTVVV1Wi2fDrhBlvFLEplZWSQlJ9PR3o5ep6NFUXgDuFIUGadpDFFV9gJ5oshVI0aQ37UrNpsNm8VCS00Nj/t8hMJhVFWNF77Or6nX6z1lfZmffkqxy0U70daoQEz/B6RnZDDcbqfeaOSKnBzuKi6mKDubUChE1d69JCcnY7LZwOWCkhKI6dp+LJSUlPDpp5/idDrj05lniiRJJCcns3jxYsaOHYsgCBQVFTF//nxGjRp1ZvmHCb5XEoUvwXdC165dKSgoYMWKFXR0dPDpp58yadIkko8bgy8rK8PhcDBr1iz69OkTFwVDdBBh7NixVFdXs2LFCq6//nr+/Kc/MXjrVuQ33sBUUIBstYIgEAgEqG9oiA8aNDY2kpScjNPjodbpJKumBqW9nWGzZ3Po0CE0TaNcVRkIuBUFo9FIRUUFJpOJlpYWltXVUeT3kxRr+6nAJmCEKHK8V4oecAHvneb+ZVmmrq6OPXv2sHfv3tN+jYxGI6rRyLBIBIei0Ox20+HxoKoqqqbRrmlsA87XNIzATmA70F3TkGJDRG6Xi/aDB9loNLIzLY1QKER6ejrhcBhFUbDb7eTk5Jxy5qhpGj/V60n1+wkQPc/UyTI6WUaSJAJ+Px6vl0pBoKfDQbdYEGtaWhoIAnt278ZkNmNTVSgtjZpZ/4gQBIGysjKefPJJ+vfvj8Ph+FbXyc/PZ8WKFVitVvLz8zGbzbS2trJnzx7Ky8u/41UnOFskCl+C74zS0lIsFgvr16/H6XSyfv16rrzyyhPcM/r374/NZmPWrFn079+fgoKC+J9JkkR5eTklJSU8/fTT+D77jAnbthGy2zl89Gi8ZVVfX4/ZbMaenExqSgpGk4m6Y8fI6dKFQCjE/tpalA0bcOXmsq25GVEU6S6KXKCqdAD5XbvS1NRE9ZEjNDU28onXS6qikBNbR6MoUguMT03FarXGz82sQI3RyK6sLAKBwAnTmzNmzOCmm25i5MiR1NTU4HQ6KSoqiu8ugfg5X3J2NpdaLCTl5OBsbY16eAoCJk0jArxPtPBaAavJREokQlo4jNfnw+vxYNU03iwqYmdjI7169cLv98edXHr37k1VVdUpk6WiKHJTair2UAifokRjlCQp3uZUVJVIJMIGr5eeKSmUHhcf5bDbMRiN7N69G5soYhkw4EeX4ABRTaTD4eCFF15gzJgx38p5RRAEcnJyeO6555gwYQKSJFFUVMSCBQsYPnz4CZmTCX64JApfgu+UgQMH4vV62bVrFzU1NezevZvLL7/8hHOV8vJyTCYTs2fPpry8nPz8/BOukZGRwdixYxEffxzv/v0kd+mC1Wrl4MGDWK1Wamtrye/aNT5GnmSzYXc4OLB/PzpZJhyJoIZCqPX1bEpNJRwO0xEMMg3wAO1ud7R9qWkoisLnqkqLKNJTklA1jZWSRLEgkOH14vP5ouGwqkoy8Kqmsc3rRVXV+KRmJBKhtraWzz//nE2bNlFfX8/9999Pbm5u3Iy7c619+vSheORI8jZuJBQIoMX+zs5CVQgMBUbo9XQHylSVLIjfl1VVaRRFHmhpISs7m3A4jMvlwuv1otfrCYfDJCUlnWCQrdfryc3N5eeFhWSHQgRju2ZVVdFU9YRdbSVgdLvJ0DRSU1Liv59ks2Gz2WjYv5/NRiMlV175nTwv55qCggIqKys5dOgQAwYM+FbXyMzMZMeOHXR0dNCzZ09MJhMej4ft27dT8SMa/Pm/TKLwJfjOGT58OAcPHuTIkSNUVlbi8/ni8S6dDBw4EJ1Ox5133snAgQNPcdeQm5vJ+tvfkLKyOHz4MKIokpmZyd69e6kXBBZ2dPBiTQ2HfD42OJ0c9HjIjURwu92IkkRIEChSVf7u9dIaDuMkWlCygKAgoNfpCAaDKIrCJk1jgCDwoaKwUZLIlyR+1qULhQUF+H0+VE1DVlX0ksSioiIa29riha/zHM/j8dDR0UE4HCYUCvH555+zbds2DAZDvA0piiL19fVs2rKFQ4rCuGCQjnCY8GnODEVRxGQ0ojcYQNMIhkKYgCRZ5reRCA2xidLOD92SkhIqKipISkrivffeY8GCBXFdnyiK0Q9po5Hura3Ud3ScYKBtMhpRFQVZp+MrSSJLEMhQlGjag80Wl3tYLBYsgsCfDxzgs7o6xowZ86PLpus8i33mmWcoLi4mIyPjW12nqKiIp556irFjx6LX6+nWrRtPP/00Q4cOxWq1fserTvBdkyh8Cc4K48eP54svvqCtrY01a9aQm5tLv379TnjNoEGDEEWRO++8k8GDB58wDMN778HGjRjT00lLT8flctHc3IwqCMxta2Ncejq/79ULVJUX9+/H2tZGoShiMBjw+/1EFIVkoBXo9OlvByYAHTEnFYvFQl5eHoNUla7AhUYjk+x2egA+j4dwJIIsy/h9PhyKwmJVZZnTGS8ancMkgiCgaRqRSIRALJDW4XDg8XgYM2YMtbW1hEKhE4pNNeAWRcbErM/Sc3LwejxoRK3K8vLy6NOnD16PB51Oh+z1YhVF/ktR+NpkIhKJEIkV+lAohNVqJScnhw0bNvDEE08QjoXPdq5TVVX2tbdzeThMQBQRYsMwYqxwSTHpxk5NozQtjQn9+1N37Bgej4dkuz1a4EIh9LJM2ZIlzPnjH9m0aRNTp0790RU/g8FAbm4u8+fPZ8yYMd9KgJ6cnExdXR379u1jwIABGAwGgsEgX3zxBYN/hG3g/2skBOwJzgqiKPLaa69RUlJCamoqv/71r1m/fv0pr5s+fTq333471157LVu2bPnHHxw7BrEMOjl2jpKTk0Ol04nOYKC0vZ11a9bQsXkz9th0o9/vJxAIYLVYEAWBENDtuEm7z4CviLqYAITDYY7W1OD1egkGg2iaRigUIhyJYDab8ft8JCcnk2kw4NPpWPRP7jUtLQ2r1Urv3r353e9+R79+/Whra0OWZTZv3nxCEepEkiT+LgjcAZiTkxmQk0OGTodRp8PhcOB0OtlVWYna1ISpvZ12WebXBgMbRfEEmUInbrebrl278sQTT5CXl3faVIKjkQjSRRfRMzMTi9WKAOj0eswWS7xw/z+rlRvKytDr9fQsLSUSibCvqoqIooDTCVdcQVGvXnz00UdUVVUxderUE/SLPxYGDRpEeXk5Cxcu/NbXuPbaa1m1ahVNTU0ATJ06lS1btlBTU/NdLTPBWSJR+BKcNWRZZunSpWRnZ5OcnMyUKVM4dOjQKa+74447uPXWW7nmmmv+kaMWCMQLX1tbG+72dkLhMJasLByyjKoo+Px+VFUliWih1ev1WK1WRFFEFEUQBKRgMC4uDgN3ALXA+YWF2JOT0ev1yLJMWVkZ3YqKKCoqoktODqIo4g8E8NfW0u71cks4TNM/uc+Wlpb4Wdvjjz/OunXrMJlMWK1WHA7HaWUNnbq+aoOBRV4vu44coVCSuBC4QBC4MCUFi9vN6lCI3xmNTIlE+DJW8ARBOKWwtbW1sWDBAmbNmoXP5zvt35mUlMQfamowyTIFOTlIsozJaCTF4aBnaSlabBfcuQOSRJHi4mJMJhMHKisJA1x+OQBZWVmsXr0an8/HuHHjcLlc3/Ak/DC56aab+Oqrr/jiiy++1ftTUlKYPHkyf/vb34BoK/jSSy/l9ddf/y6XmeAskCh8Cc4qVquV5cuX43A40Ov1DBs2DPfxyd8xZs2axS9+8QuuuOIKKisrwW6H2MBHbW0t27dvZ/fXXyN4PARjH/qdRasdohZjRJPOOzo6os4lokjrca4mEJUj3CQIHLDbsYdCpITDaOEwHo+HQCDAvn37qK2pQWlqIiUU4lgoxC9lmarY+0926BBFEbPZTCAQoK6ujltuuYUHHniAkpISHA4HX3/99WlbgQXAn4G/B4P8AnC3tbHV72djOMx2v59dR4/iVxTkpCR2uVxoRD9Yly1bRnl5OSmxwRO9Xh/X8HW63dTX1582BNflcrHa6eT94mLExkYGZ2ZS6vHQ0+mkoKaGkSYTSfX17N2y5YQ2bn56OplGI7/1+XjoxReprq5Gi4n7V6xYQUpKCqNHj6buR2ZnZjQaueOOO1iwYMFpn8l/h8svv5xdu3axf/9+IGrT9/XXX3P48OHvcqkJvmMSZ3wJzjoWi4WxY8fy1ltv0dHRweLFizEYDDz++ONccskl8bHyiy66CJfLxb333svkUaNwbNkCVitutxuPx0M4HEb0eFjr9WLU6xmQmUllIMAXmkaBTkdOMEgkEomKvG02BK+XNzWNAyetJwi81tbGCq8XLRKhDAi6XPhaWpBCIUyKwmbgz6LIE0BzJILVakVVVSZMmEBHRwcej4eysjIaGxsJhULxc76DBw/y6aef0tzcHN95aZqGIAjIshx1tQmHeSZmi9YM+EQRfySCQnRX2hGJ4JdlevTrR7kkMbitjS9lmaZwGK/Xy86dO+M6vczMTAoKCmhra/tGc+xObH4/FzQ0MDIlBam+HkHTMFqtCJKELEkYQiFsXi+e6mp0FguS1wuKgumpp3ivo4N58+axbNkyli9fTlVVFTk5Ofz6179m8+bNzJkzh4svvpj09PTv6tE566Snp9Pe3s7HH3/MRRdddMbnlbIsYzKZWL58ORdffDE6nQ5Jkvj4448ZPnz4WVp1gv+UROFLcE5ISUnhggsu4O233+bIkSO8++67uN1uJk2adMIH5fDhw2lubub+Z5/l5yYTeknCEwzS1NyMEIsNKhBFVoVC/N3lwpycjC0SwRQOUyhJWC2W6O6towMBeCo5mUAkEvXCjLX/MjMzcbndtACfCQJvaBqrNY1VgsBSYCGwFKjRNJRO4+pQCFVV8fv9ZGdn43A4GDVqFPv27TvhzK1zd5mSkkJbWxvwjxBaTdPoFokwPxIhAjgBQRQpLy+PtknDYdKJht0KQHNrK0dbW0kCRqsqH2ka2/ftO8GD0+Px4PF4GDlyJE888QSiKLJr167Tfg8KgReAEVlZHBNFjoVCmHQ6zKqKEHNyUVQ1OkwTiRA5dgzPgAGYnn8eBgzgwgsvZNmyZRw7doxIJMKBAwcYNmwY3bp1Y8qUKdTW1nLfffdx/vnnnzio9AOnT58+vP322+j1+hNMFf5dCgsLWbZsGZmZmXTp0oXCwkJeffVVSktLowYACX5wJApfgnNGZmYmr7/+etzh3ufzMWLECEpLS0943ciRI6mtr2fj2rVcoGkEZZm6+nrMJhOqopCi1zNEp2OwotBDVfksFKKbJNE3PZ1WpxNVVemi17PcbGZlRweqqp5w5uX3+09oBSqShNdkokmSaNY0Lp48mbq6uuhODsiN/coAjEDvwYMpKSlhx44d7Nu3D1mWT2ktHp9SAdGW6MRx47j74EHSbDbyy8rweb0EAgHcbjfh41Lec0wmLBZL3HYsQLQY9iAqbu8srrIs43A4KC0tZc6cOYwaNYrc3Fyef/75U772GcCLQIpez1G/n+bWVpLS0xHS0yE7m/9yuci1WsmwWGhTFOylpexob8e7dy97HQ4Khg/HaDTS3NxMfX09NTU15Ofn89BDD0XPU4HRo0cTiUSYPXs2JSUlFBcXn8nj8b0hiiKlpaU8/vjjXHTRRVhirjVn8v6MjAxeeumleEyR0Wjk/fffP0XGk+CHQaLwJThnLFmyhDfeeANVVVFiSeYHDhzglltuib4gEIA1a+CjjxilaQTa2hArKzHp9YQkKa5Zc9vtpCQlEfT5+MLvZ7uqcqnRiLetDUmSyLZYkE0mXsjNpSamuTuek4uUIAjk5uai1+tRFIWpU6eyf+tWLtE0/iRJ/ExRmAJMBq4Giquq2LV3L1/W1+MNh+PvO925GoDdbo8O4VRVcQXQJss0NjQgShLh2BRpRFH4AigBbJEIqqKQmpoaNZOORPADPUWRlZqGm+iHraIoBGPt3c8++4zdu3dz99134/P5EEURWZbj9/4QUAw4RRFVUUDT6FZUhNFkwuPz0bWtDZvVSnZZGYddLiyZmRypqyOsaRjWrePVYJCLLr6YzMxMli5dylVXXcWxY8dYvHgxU6ZMiftUDhkyhLS0NGbMmEFaWhplZWXfybNztrHHJBtLly79VkbWOTk5bNy4EUVR6N69OwUFBSxevJiioqJvrRVMcPZIFL4E54yCggJ69eqF2+2mubmZQCBAU1MTmarKwK++gv/+b/joI9i2DfbtozgcJuzzYauvJy8piaAsk9W1K86UFP6/fftYHQrRAkwCUsNhDEYjw/v1IzM1lcUXXcTft2/H4/H8W2tzuVxxXVvGp58yLxxmmCgSjkRo0zRUoxGPotChKNiAIYEAPwkGaRMEDhkMca3c6VBVlYqKCm73einLyMAX0+75fL6oe0qsYH5BdFeXKorRyKOYxEKn06GoKmZNQxUEBv/Xf/HJJ58wevRoNmzYgN/vp7GxkfXr18fPFGVZpk+fPlgsFux+P7M1jcaYflHVtGjMjiiSlZXF/v378cXatXmxoFmn00lHRwdBVSVVkvhg1y7e3LaNG264geLiYm6++WZ+9rOf8e6778ajeTr9L8vKyigpKWHWrFkoisKQIUO+/UNzDunRowerV6/G4/Gc0oX4VwiCQH5+PgsWLGDChAnxCeO3336b0aNH/+i0jv/bSRS+BOcMvV5PaWkp11xzDVOnTmXnzp30DQS4atUqDLt2Yc7MhORksNni4ae2vDyOdHRgaGwkMxTCnpyM6vFQ0trKUGAgkErU17Kbw4FHVbG++ipfCwKbN28+ZczeaDTGPTM7sVqtcceVG0Mhfq0ouAA30SR2QRAwmkzxHZQ1JYWWYJCIpvETqxVRltlwXPtUjBWuThRFwXX0KDPDYYIWC+FIBL/PF19Hp4j8S6CnJGFXVURJQq/TxXdukizjCYcpA363YwcbNm5k7969uN3u+JTlZZddFj/f0zSN+vp6Ojo6eHnMGDJqa2nvjCEialJtNBoJ+P00NzczT1XJEAR6ZGaSlJTE4cOH47tySRTprmn8XRB47bXXmD59Ona7HVmWufLKK9m9eze///3vqaioiJ/tFRcXM3jwYO6++27q6+sZPXr0d/cgnSUEQaBv37488cQTDBw4EPtxfqX/DikpKRw6dIja2lr69u1Lfn4+y5YtIycnh+zs7LO06gTfhkThS3DOEQSB9PR0ftGvH6PfeYcgcLCtDUtS0il2T6qq0ubzsdfjIQAku92E3G5URcEKmAEb0AQ8ZzQy2+XiwYULWbNmDYFAINou7DSZtlqRZZmkpCTCsTgfiA6uZGZmMsbr5Xexa0UEAavViiRJ2Gw2+vbpgyhJJCUlcezYMURBQNTpcPr9XKgo1GkatRZLPAuvMyqouLiY1tZWuogiUxWFuvZ2BKLOH36/H43oWZ2iqnwBFGsaRQ4HOlmmS5cu9OvXj4L8fNJSU6k5dowMnY4XwmG8wSCbN2+moaEBXUz0vnnz5lO+zqWlpdze0IAqirh9PhRVjbZeFQWPx4PL5ULTNDZpGr0kiS5mMw67HXd7O20uV7SlKor0TUvjxtdfZ/P+/cyZM4dBgwaRm5uLIAhMmDCBUCjE7Nmzyc3NpVevXgDk5uYyZswYHn74YbZv387kyZN/8Dsfq9VKUlISL7/8MmPGjImfX/67dO/enaeeeoqRI0dGjdTt9hNijBL8MEgUvgTfD01NcNNNmB0OPACaxtGaGux2OyaTCYi2H3ft2kVdXR1JdjsBWeaAx4NFFHnFYGBvURHvh8O8GAyyANjh9xOIFbmcnByeeuopHn74YdauXcuECRPYtWsXnlgMUKePZScRr5dnBYGAXk9mbi4pKSnIsoyzrY1gzIbM5XLhjMkGNKI/4YuyjD8SYYiiUPrQQ6RmZLBt27b4mV9rayuiKJJvMjFVVfELAsFQCG+szRm99X+0OksAe6w4NTU14XK7aWpqYv/+/UiyjC4U4m+aRkt7O4qixMXmnbq6k11dQqEQvwoEaI0523RasKmxRIjOANwvgIF2O5kGA6kpKUiShMvlok/v3gSDQYpycjBOmsSlt96K3+/nzjvvJCUlJW5Dd8EFF5CXl8esWbMIh8MMHToUiMoFpk6dyrx581i5ciWXXXbZt0pFOJcUFRWxdetWampqTrHZ+1dYLBba29vZtm0bFRUV5OXl8cEHH5CSkvKjmnT9305CwJ7g++Hdd8HvR7BaKSwsxJaUhD05Oe56v2/fPiorK/H6fEiyjKaqhCMRQoJAu6oypksX5h06xNL2dr7iH4GqZWVlJCUl0dbWxm9+8xuGDx9Oe3s777zzDj6fD1mW41N3H374IR6Ph8mTJzNGltFrGh2hULSgiSIms5kkmw2j0UhdfT1tLhfBQCCa7q5ptLa0EAqH8UQi2CSJT//wB5555plTLMoEQUDncJwwbNJZ7PQ6HVarFb1ej9FgICc7m0gkgsfjobCoCFmWo5pEUSQ3JwdR0wgIAmazGVEUCYVCBINBJEk6rQjb7XYTiO3sBEGIfp1iCfKR43R/GpCZkREPCE5JSYl+HWIJFD6fD2Kt2VmzZjF//nwefPBB7rzzzvg9TZs2jTfffJPnn3+e2267Lf77ubm5rFq1itbW1rgO8oeMIAhMnz6dVatWsWfPnjN+/5VXXsmmTZs4evQogiDw05/+lEWLFv3T4acE5x5BS3w3EpxrQiEYPz5qSRbb3Smqyt69e/F6vRzu6GCd2UyV241JURgtCPQUBExmM7ldunD44EGSQyGmAA0nXVoQBCRJirc2R40axS233ML8+fPZuHEjc+fO5bPPPuP9999HURS6du1KfV0dHzocSI2NHI5p7yRJQhTFaKQR8CFwlGgY7WBgEFGtndliIeD3k2Uy0Waz8VOgoeHkVYFBklihaWiahvc0/+QkUWSeqjJVlilQFNTYa45PSU8GjgA/O+l+OwXyp/unLIoim4xG2kMhbKmp0d2WptHS2ooWy+BLTUvjr3o9lwBlNhuFhYXIskxLaystLS3Yk5PRmpvJ/vBD6NkzaavC7gAAIABJREFUfu29e/dy9dVXk5+fz2uvvRZvUx85coRp06bRpUsX3nzzzfgOPhAI8JOf/ITm5maWL19OVlbWP3lAfhhs2rSJF198kaeeeuqM09WXL1/Ozp07uf/++9E0jVmzZjFlyhSGDRt2llab4ExI7PgSnHs2bQKPJ170IPrBX1JSgqzX84aqkuH18lhmJpNEkbcUBXdst3Tk6FFEnQ6BqLzgZDRNIy0tjYKCAoxGI5mZmfE2Wzgc5ve//z0vv/wyTqcTl8vF9u3bibS1IVVX0xYTccuyjKIohMNhNOBNonFGM0SRnxFtSR6OpbN7vV4UVaXO68Xe2EigtfW0txxUFF5VVayahhwrqsejxHZHZpOJ9PR0LLEdXWdbUBAETILA4uM8OjMyMti1axcffvghycnJJ1yzs42rqiprfD7S9XocdjvEiq/RYECSJPr160ckHKalpYXsnBz0BgNfff01Hq+XFIcDn8+HRafD5fUSysnheHr27MnatWsJhUKMGDEibtOVn5/PJ598gt/vZ9SoUfEfBIxGI++++y49e/Zk7NixHDx48Jueku+dwYMH06tXL1544YUzfu+kSZOoqamhsrIyvut7/fXX/y13nQRnn0ThS3DuqamJt82ORyfLCLm5hEWRi4D62lryIhF6ANtjwyiiKBLw+wkJAj1PuUKUtrY2mpubaWlpYeHChXz00UfxQtbQ0BBPIlAUBUmSMITDeAKBuBuKTpbj1zoG+ICLAFQVOzBQFNkrivFdgNlkwmw2owLG03ywdQ7IrI4V4vMHDSK/a1ckUSQtNTX6GlHkN0BOIEB2djYV55+PLEnxdqRO0wjLMvuzs+NFzefzcfPNN3PJJZegxSQKnRgMBkwmE5IksVgQCPp8HNi/n1A4jN5gwGqz0TU/n2AoxAVDh6LX6dj11VfIkkTXrl3Zt28fTU1NpKel4a+r40B5OZtP4whjt9t5//33GTJkCGPHjuWTTz4BoobYH3zwAcXFxYwaNYqvvvoKiO5AX3rpJcaMGcOECRNOTOT4AXLzzTezbdu2M16nLMv8/Oc/54UXXkDTNPr164fD4WDNmjVnaaUJzoTEcEuCc8/GjbB9e1S2cBIH/H7qIhG6HrdzqiOanF6sqqixgFQ90K5pvHeay3fp0gW73Y7H44n/hC3LMhUVFVgsFtxudzyPz2azMWrwYEbU1+OKFVdNVZFjZ1vVkQi7BIFNwEZgoyBQK0lk2Gz0FQSSbDb8fj8GgwFDJMJinY6O44qfKIoMGjQITdO4/7HHcFVXY9y+Hb8koWgaJSUltDmdKIqC0WSKFufGRo5UV8d3gSJR55W5qsqnx53jhUIhGhsbue2221ixYgUbNmygrq4uXtjD4TCaptFhsTA2EsGmaXTEwnf79+9PRno6dXV1SLLMZ+EwI7OyaD14kHA4TI8ePairqyMSChF2u/HPns36ysrTtuoEQWDixIno9XpmzZqFXq+PZy1edtllNDc3c9ddd8XdXARBYNy4cXi9Xu666y569epFt27dzvgxOhfodDqKioqYN28eo0ePPsWk/JvIy8tj9erV6PV6CgsLycnJ4bnnnmPSpElnPC2a4LslUfgSnHv27o0Wv6SkU/7Ioyisam3l2sJCnLFzqB2CQJokUShJZGZlYTQaMWka7WlpvB8On6LLa2ho4I477uCDDz6I26NBVJTdr18/9u/fT2FhIXPmzGHhwoVcc9116BYtosHtjnpzahr5BQVoqoonEuEIcLfJxE9ycihrb2eYJNFLVeOWYxFFIRIM4tDreVGvZ84f/0h+fj7btm0DoK6ujvz8fGpra3lm61Yu6dGDjJYWWv1+woqCJMtkZmREz/+8XjT+ca4nA5lE260L+UcLUwYuBG7S63movBx5zRrEnTsJCgJV7e0cf9oXCodps1iYpCgEBQFRlmlsbCQlJYXUtDR27t/PmnCYX5aU0C03l6M1NdTW1lLSvTuGtjaWKAof63RUVVUxceLE+JndyQwcOJD+/ftzzz33sGfPHiZMmIAgCIwYMQK73c7MmTMxmUwMHDgQgAsvvBCr1cqsWbPIzs6mT58+Z/ggnRsyMzNxOp2sW7eOoUOH/tuyhE5HoGeffZYJEyaQlZXF9u3bCQQCPxo7t/+tJApfgnNPSwt88gmcpNkDSNHp+LC5GZPNxvDu3dnudPJRMMgYVcUU242lOBwkaxqHCwv51O+Pe1p28uKLL/LXv/6V/fv3xycsxVhrcvfu3Vx44YWsWbOGIUOGRMf9b7sNz8aNFGoaIVlGlCTanE40oCgtjf1mM43t7XSNeWPub2ujJRLBRrSNmZ6ejiUQYL2m8U4oxOrVq9m7d2/cRSU7O5va2lr27NmDPxikqksX+mRmkt/aitLRgcvnw9XRgdfjQRBF0DT0QBpRneJfgQWxe+uRlcVlXi+PEXWs6Ws0Eqyupvqzz0hraOByg4Hx4TABVeUg0Ln3PBgOE7HZGB4OI+j1JKekUFVVRa2i8KTXy3nAuK5d0ev15ObmEvD5cO7ZQ3tZGR8NGcJLr7xCXV0db775JmvXrsXr9TJgwIBTvn8FBQVMmTKFJ598kqVLl3LJJZdgNBrp378/ffv25a677qK+vp6LL74YQRAoLy8nPz+fWbNmodPpqKio+M+fr7NAnz59WLJkCRaLhYKCgn/7fenp6Xz11Vc4nU569epFly5dePbZZ5k4ceIPXtbxv5nEVGeCc08gAOPGgcEQ/XUSR/1+nqmu5pDPR8TlYojfTw+iE44OhwNRFEny+7nOYKDS5SJH00gDdEBIknhx1Soku53BgwcTDAZJTk4+ZdQ/KyuL7Oxs9u3bRzgcZrzdzlxF4UBHB1mZmej0eg4fPhyNnUlLY1FTE/tj0UHpgsBwTWNgSgoerxdJFHGEQtwOfGUyEQgETuvdKQgCJpOJ1NRUjtXWUqxp/IRoAZNEEYvJRHpmJtXV1QRUlbeAd4CG2LBNjqbxrCiSpaq0ETWvFogW9byuXQkFg/To2ZOdGzZgDIXYCcwgmkEI0eGSGX37cu3+/WSnp6NZLFQePIjRYCApZh7QNSsL2tpA0zjQty+XbtxIj969+fzzz2ltbUWSJPLz87nzzju54YYb/um32Ofzcd1113H48GFef/31uKh9z549XHnllfTt25eXX345Hqi7fv16brjhBq677joefPDBM3iYzh2HDh3i/vvvZ968eWeUunDs2DFmz57Ns88+i81m45FHHqF3795ceumlZ3G1Cb6JROFL8P0wfz688gp8w0i7s62NrVu2EI5E4p6WkigysKiI3YLAY9XVXBMO0xPobHaKgCTL7OnWjT8eOoTYsyczZszgF7/4BRAVGB+vI+tMaxdUlRU6HbpQCJ8sYzQa8Xg88eIlAPaYF2VHezupaWnIskxebi7Hdu+mtqODKURblJ3BsKdDFEVssXPBSOy+bMBP+/XjwgEDqKuv562VK9lJNDewk/MLC3nw8GFsQOfp5wJJ4mqzmW6iiNfni09sCqIY1Qf6fBwSRWbb7Vx/66307t2b3//+9/QvKmJIezvXaxqOSITD1dW0t7ej1+vJ79YN289/zruyzAurVvGnP/2JGTNm8MUXX6BpGu3t7RgMBt58800mTpz4jd9iVVW5++67eeutt3jyySeZPDk6h9vU1MS0adPQ6XS8/fbbcWuwr776iiuuuIKRI0cyf/78H+Q52JIlS6isrOThhx8+IyeWZ555BlmW+dWvfkV1dTX33XcfCxcuPGOZRILvhh/ek5Xg/waXXw46HZwU33M8ycnJ9B8wgPyuXbGYzQiCgKiqBBoaSK2p4UmzmWJJopFoMWgFFIcDp6JQWlXFq5rGMyYTD8ycGW8rnexs0hkk+tSCBVywZg0OoxGjquKNFT1ZkuJemp2BuIqi0NzcjNfjYd+OHYS9XlaNHEmXmDPHPyt6FouFX/7yl/GYpM7XdQAv79vHXZ98wqyVK/mSaNGLxw717MntR46QzD+KnixJmIxGIopCQUFBdGo1EkHTNBx2O/3798cpSfTS6bjXYOCXv/wl1157LRs2bECz2Xiqvp7LJYmv77yT7h98QMeDD3KH1cpAp5Mjl1+O3K0ba9eu5brrruNXv/oVt99+O21tbVgsFqZNm8btt9/O3Xff/U/vFaJF/tFHH+XBBx9k+vTpPPbYY0BUhvHxxx/jcDgYMWJEXNbQp08fVq5cyeeff87VV199ytntD4Fp06YRCAT4n//5nzN637XXXsuaNWuor6+noKCAsrIy3n333bO0ygT/isSOL8H3x7p1MHNm1Jj6nwxMdKKoKq0NDVBdjRoIcERVaQ4E0Ol0RGJmyqIoYjIaSUlJofbYMSRRJFPTOKTX896kSbz2zjun6KhsNhsjR47E6/WyadMmBnq9/EkUSc3K4kBzM0OGDuXAgQPkdulCZWUlgUAAk9mMJIpIHR1IwCxg03GC99Oh0+nIzMxE0zSampqIxIpUJ8eH1R6PIAj0FUVe0DRaRBEEgcyMDBoaGnhCUZgEdBdFjAYDWdnZHKutjQ62aBp9+vTB2dyMJRCgaO9eiEknAN544w3uuusuNE1j0aJFXHTRRTQ3NzN+/HiOHDnCPffcw3PPPYff7yc1NZWKigo6OjpYuXIlZrOZV155hRkzZuBwOFi0aNG/FKN/+eWX/PznP6eiooKFCxei1+tRVZUZM2bw/vvv8+KLL3LhhRcC0NLSwtSpU7FarSxduvQU/9bvm/r6embOnMljjz12RjZkS5Ys4fDhw9x5553x9udzzz13xvl/Cf5zEju+BN8fw4fDH/8IXi80Np5W2weAqiI5nWSEQmQ4HBxWVVpCobjQ/ElV5TBQMWgQZWVltDqd0UIiCLRIEkNTU7nwvfeiOXQn0dHRwXvvvce6deuiwy/p6dwmy+xsasIRDnPkyy/xtLVRXV0dbYtqGlavl+RAgDaLhdtkGWXw4LiEwHYaiQZAOBymtrYWl8uF1Wo9peh1eoOejKZpXElUL9enb1+6d+9Om8sVtXEDGoFnVZWHg0EWtraSlp2NQa/HZDKxe88ekCRyc3Lg/fdPuO4111zD5s2bKSkpYdKkSTzxxBOkp6fzxRdfUF5ezh/+8AecTmfcPs3tdvOb3/yG8ePHI0kSN954I/feey85OTkMGzaMFStWfOO3uqKigtWrV3Pw4EHGjBlDU1MToijyxBNPMH36dK6//noWL14MQFpaGh9//DGiKDJu3DhaWlq+8drnmuzsbH76058yd+7cM9qVTp06lb1791JVVUWXLl04//zzWbZs2VlcaYJ/RqLwJfh+GTkSFi2CSy6JDlU0NESnPp3O6H/r66G5Gc4/H/r3h5QUsrt3B02Lm0VD9AyuuaUFS2x3UFRYiNFgIByJsOXYMQaEw0zt0uW0o/h/+MMf+PTTTzGbzbjdbraEQlweiXADsNTnQ/R6kRobSQuFyEtOxvyTn3CzwcBlfj/XP/YYR48ejZ9BHn9+mJ6eznnnnRf/f5PJxJgxY5gxY8YJf3+nmfXJu0VRFEk3mbgmNZVWQeBIdTU1R48SCgYJBYMIQJUo8nOdjttVlX1uN2ucTi644AJKSkpITkrC6XSy5cABGp944pT7Tk9P5+OPP2bmzJk88MADTJo0CZfLxauvvsp5551HR0cHTqeTpKQkFi5cSEVFBRkZGVx77bWMGjWKO+64g9TUVO644w5uu+22f9n6zMnJYfXq1eTl5TFixAi2bt0KwPTp05k3bx533XUXjz76KABms5n33nuPrl27Mnr0aI4cOfJPr/t9MH78eJKSkliyZMm//R6DwcB1110XF7VfffXVfPDBB6f1WE1wdkm0OhP8cHC74eOPYfduaG+P5sfl55N05ZUgSTB5MqSl4Q+FWL9+fTxuaIEsc0NKCumx8zej0YjFYom2R1tbo36UmsaXksTvTrPrk2UZURTjwyZw4oCKXq9Hiu3oBJ2O888/n4MHD5KWlsb+/fsRRfEESYUQizTyeDzY7Xbsdjt1NTVcVVxM6NAhrKJIRKejNhJhp8GAoNPR1NR0Wr/N/nY7S/V6WgQBt9tNMBhEjPmRzo1EGK5p9CV65rdWp6MjGOQqq5V+/ftjMBg4dPAgHo8Hs9vNwxMnMm/BAnJOsh4DWLp0KTNmzEAURR555BEyMzOZM2cOFRUVPPvsswwdOpTly5ezdu1ali9fjtfrZebMmdx4442Iosg999zDfffdh8Ph4NVXX/2X+XOPPPIIzz//PI8++ihXXXUVAFu2bOH6669n+PDhPP300/HvwW9/+1tWrVrF4sWLf1CJ7k6nk9/85jc88MAD/7Yur/N+rr32WoYMGcIzzzyDwWCID18lODckdnwJfjgkJ8NPfgL33w9//jM31dQw9Z13UDMz4b33QNNAkjCZTOh0OmSdDoPBgCSK2JKSKCgooC4U4mG3m1UNDbS2tGDQ65FlmTZgmCCQF4vxOZ4BAwZQUFBwwlnL8RqrzMxMDBYLOpMJVVX57LPPaGpqips5+04a0NE0jVAohE6no0dGButuuYXNmZk86vHwZ4eD6aEQt7e38wefjzdcLn4lyxQlJdG3b99TJgV9LhcdHg8tLS2EQyFsNhuOlJT4NGDniiOKQklBAblFRYiSxOcbN7J7926Ki4vJy8vDZDbjb2tj6NChzJ0795Sd2bRp03jqqacoLCzk3nvv5ZlnnmHkyJFkZGTw9ttvs3HjRs4//3xSU1Oja4ntTj/77DPKy8uZPn06t99+O126dGH48OH/svV5zz33MHfuXO666y7uu+8+VFVl4MCBrFy5kq1bt3LJJZfg9XoRRZG//OUvXH311Vx22WWsW7fuG697LklJSeHWW2/l8ccfJxgM/us3EP2B6sYbb+Tll18mEolw1VVXsWrVKpxO51lebYLjSQjYE/wgCYVCzJkzh5qaGnJzc+nzySfRs8CY7q+lpQWDwUDF+efz1pEj5Pp81Le18Wo4zASgR8yBxWA0gqaRmpaG5vWyCzh00q7K4XAwadIk9u3bRyAQiLctOwmHw3g8nnjqg6ZpqKpKVVUVqqqetr2nKApDbTYeqa9HXbsWj9/P0Y4Omvx+2iIROgAvUQeWfh0dXCmKtGZns7muDvhHOoQFmBoOoxmN5OfnYzQYCMTS3j9XVUbk5DCqvJyc7Gw+PXqUDkXhpwMHYrVYqDl6lOrqapKSkshNSmJrRQWZ2dl88MEHvP766/Tr1++E3V+PHj3iu1+Px8PKlStpampixIgRDBs2jK1bt7Jw4UJycnKwWq0Eg0EqKiqYOHEiXbt25YEHHiA/P59p06Zxzz330NjYGBeqn47S0lJGjRrFnDlzWLNmDVOmTCE1NZVrr72WJUuW8Ne//pWJEydis9kYMWIEOp2O2bNnk5+fT2lp6X/wdH13dO3alb1797J3794T2trfRHZ2Nl9++SXBYJB+/frhdruprKyMO9okOPskdnwJfpBs3boVURTR6XTMmzcPb11dVP4Qw2Q207O0FINeT1p6OvuDQV7y+5kC9BRFLGYzer0ej8dDRFFob29HUxSMJ01TAuzevZsXnn6acqeTu/V6/iAI3KNp/EIQ6G4wEPj/2TvvqKiu7Y9/hzIMvVeRoQ2gdIQIKKIICAg2RKVo7IotVizRaGKLIsbYYi9RsWE0NkCxoQgWRAELKFUQKQJDG2CY2b8/0HnyAGPez/hM3nzWmrWUOeeec+7cdfbd++zS2AgGgyEyhbYpYNvS0uHG7ionh5+bmmDEZqNGVhYCGRkIBQLIyclBW1sbykpK0NfXh5aBAd5ISaGusRFjU1Phgtawh3fFckuJIGwdCMXFxSgrL4esrCy6de8ObW1tGBsZQVFBAerq6ujatSukJCWRmZEBCUlJ9OvXDzo6OijKykJSYSGCgoPh5eUFGxsbGBkZITAwELNmzWqjsYaEhMDR0RFmZmb47rvv8OLFC4SFhcHCwgKWlpZYvHgxHj58iDNnziAuLk7k3PFOGyssLMTevXsRGRmJS5cuwdvbGyUlJZ3+zlZWVrh+/TqqqqrQr18/FBYWQkFBARcuXICVlRU8PT3x8OFDAMC0adMQGRmJuXPnYteuXX/+ofqLmDp1KpKTk0Xz/BjGjx+PY8eOoaGhAYGBgUhMTERZWdlfOEsx7yMWfGK+SGJjYyEUClFfX4/Kyko8zspqNXW+hYRCUXydBIOBXFVVGDAY4LwtNMt8m41ElsWCQCBAQ0MDiMGAFIvVGrDOYEBaWhqaANbo6+OWnBxWCoUYwufDT0YGoxQVMVtaGqclJLBbWhp3N21qjZ2TlW0nOIkITCYTISEhGDt2LOz09LBFUhJ1zc1Iz8tDXV0dmpqbIc1kQlFBAbq6uuDz+VBRVkZLS0trtXJFRdQRIRKAen29aIxmCQlclJaGilAIY2NjmHE4kJGRQXFRERoaGtD0nkOMhIQEVJSV0b17d9TV1eHxkyfoamAAp27dcFlHB76+vvj9998xe/ZsKCkpITAwEI8ePYKTk5PIu5DBYGDSpEnQ1tZGbm4ukpOToa+vj379+qFLly5IS0tDSkoK9PT0kJCQgDVr1ojG19PTw+XLl+Hn54f58+cjJCTko0yfampquHTpEmxsbODp6Ylbt25BQkICe/bsQXBwMIYNGyaKmxs+fDj27NmDdevWYe3atf+vZ+xToaCggG+++QY///wz6urqPqqPkZERevTogVOnTkFZWRm+vr44duzYXzxTMe8QmzrFfJEcO3YMLBYL9fX1mDp1KlwaG6FUWyuK93tdWgoNdXVIS0vjbGkpphsbI19KClK6unBUVQWXywWfz28NeXhb1UEOwAUJCeS/NWV2EwqxD0C32lpwhUIodekCoZwcymprUdXUhEYpKWgaGsJEUhLKN29igIsLYl6+RNPb675v4pSVlYWqqiqGDh0Ki/v3YVhaCu7bM0hpaenWDC1KSuC/rX3XwOOhtrYWPB4Pefn5ABGk5OXBbGqCJICkt9clIkh37Qr/xkbomJhAS0sLWlpaUFJSgquUFJpKSsDlcsFgMOCkqYle6uqQkpKCuro6ZFksFL2Ne0z08ICylhauXr2KgwcPQldXF2w2G0QER0dH/Pzzz7h+/Trc3NygpKQEJycn3L59G48fP8bu3btx//59nDp1CmVlZdDS0sK4ceNw7949xMfH4/79+/Dy8gKLxQKDwYCHhwfs7OywatUqKCkpISgoCMuWLfug6ZPBYCAgIABCoRARERFQVFSEg4MD3N3doa6u3qbqg7GxMdzc3LBs2TLk5ubC29v7T2VR+SvQ0dFBaWkpkpOT4erq+lF9TE1NsWXLFri7u8PGxgY7duyAs7MzlDpI3i7m0yIWfGK+SAICAjBy5Ejk5eVhxIgRMDY1BRISRImtX79+DQ1NTUhJSeFsaSl6qaoiUFcXx0tK0CwnhwBra0hJSaG4uBh8Ph9MAFIMBtYBUFBVRaijI1YUF0NCUhK1TCaYbzftdxUXhG/DJfZUVCC9rg5qfD608/OhLy+PBnt7vC4tbRPDxefzkZubi7izZ7FaIAC7e3eYmpvjTUUF6uvrRabSRh4PTU1NranF0KqlvYvfEwgEaJGQgJVAgDNMJhqFQkhKSoIrIQFnBQWYtLSA9TYIXVpaGirKytDW1oakpCQqKirw8uVLkWbJlJYGS0YGGkTIdXLCxEOHkJWVJfKEffz4MbKzszF58mQ8e/YM7u7uqKysxMqVK9HS0gJXV1e4uLggPj4eWVlZ+Pbbb5GZmQmBQIB9+/bBxsamtUitvDwYDAbWr18PExMTkXejoaEhQkNDcebMGVy6dAlLlizB0aNHERMTA09Pz07jHd8Vf128eDHy8vLg7e0NW1tb2NvbY8mSJXj58iU8PT2hp6cHPz8/rF27Frdv38aQIUP+68LP2toaR44cgYqKCgwMDP6wvZycHBoaGnDnzh306dMHAoEASUlJHy04xfzniE2dYr5odHV18erVq9Z4PxYLeOs9JyRql8tRXkoKK83NcZ/LRXRxscjcKS8vD01JSZxCa9mjxspKjLx1C0IiVLa0QIbJhJycHMwtLODi4gJVVVWoqqhAv2vX1lRpEhJoaG5GQVMTPCoroX77Npqbm9uMTW8zpdz68UdoKyriaW4url+/LorR4vP5aGxsRJ2kJE5JSuInBgNREhKIf2t2JQDycnJQUFUFS1ISAbKymDlzJoKDg9HS0oLpVVVILS9HXU5OG5OvhIQE1NTUYG5uDktLS0hLSeH58+fIzMhA9bNnaOnRAw779mHt2rWtWW7enlPKyspCS0sLM2bMQFlZGVgsVmsS63nzRJlc0tPTsXTpUuTk5ODs2bNYuHAhTExMEBgYiKVLl+L58+ei7Ctz5szB9OnTMXXqVDQ2NgJoDbo/ffo0JkyYgBUrVsDX1xd6enro27fvB02f3t7eiIuLQ2JiIgICAlBXVwd3d3ecP38e8fHxGDVqFJqbm2FiYoKEhATk5OQgICBANO5/CxkZGcybNw87duz4aC/NwMBApKamIi8vDwEBAXj48OEXF7P4T0Ss8Yn5osnPz0dtbS1sHByAujogORlQVMSrV6+gq6MDCQkJDNbRgc5b934ZCQn4aWnBRkkJRS9fooHHA0tCAopSUog2NcXz8nJ4ARgAoPyt1qWqqgo5OTlUVVVBS0sLL1++hOCtE0smnw8WgwEbRUWw5OTA5/NhSYTTb4Pj36e8vByyN2+C/eYNKng8SElJQV5eHrKyspCVkwNfIMCupiZoCoUYBcAFAFMoBEdLCza2tjAxMUGXLl1APB70ra0h5+OD+vr61kwv0tI4VFIC/bIysF69AktGBkwFBeA9LUdKSgpKCgrQZjKhKBDgiY4OlkpKIq+4GP3790dRUREKCwvR0tICBQUFsNlsuLi44MaNG7h16xacnJyQm5sLX19fKCsrY8WKFXj58iUWLVqE6OhoqKqqQkdHB0QERUW5EhCsAAAgAElEQVRFtLS0IDk5GWVlZdiwYQMGDRqE/fv3Y+vWrbC3txel83JxcUGfPn2wYcMGCIVCjBgxAitWrPig6VNNTQ2hoaE4deoUtmzZAg8PD5iZmSEoKAj79u3D4cOHMWjQIGhoaGDUqFE4cuQIDhw4gKFDh/5XEz+rq6ujsbERFy9ehLu7+x9qodJvzeHnzp0TmWyvXr0KNze3zzTj/03EGp+YLxqRxgcA48cDpqZAWRlIKGytXdcJLS0tqK+vh7OjI3oaG8Ni82ZcyMzE7aQkTJWRgUg3YDBQVl6OkpIS1NTW4m5hIX6qr8ey2lrs53JR/1bDlGYyoaKsjCZpaRjJysKvg9yULBYLfW1soKisjB49esDa2ho6OjpQUFQEA0AJg4FaAP0BSDMY0FZXR5ibG2xtbaHwXgyhnr4++tnb4+uvv8aGDRtw/PhxrF69GsHTpmG9iQnm1tfj4oMHeHztGmqePoXw9evWjDevXgFlZWBYWUFuxw70vHYN2/ftA4fDwf79+8FisaCkpAQTExMsWrQIBQUFyMjIgIODA7p37459+/YhJSUFOTk5qKysxObNm/HkyRN4eHigZ8+euHjxInR0dFBTUwMbGxvY2dlh8ODBuHTpEoYMGQJFRUUkJCRg+PDhGDlyZJtMLg4ODkhKSoKenh52796NefPmibw+Rb/vv6GgoICzZ8+ib9++8PX1RXx8PDQ0NHDp0iVoaWmhX79+yMrKgoKCAi5evAhNTU14enqiqKjoTz5ln5YRI0agpqYGcXFxH9V+wIABKC8vx4MHDzBw4EBkZWXhxYsXf/Es/7cRa3xivmiam5tx/fp1+Pj4AEwm4O4OunULDdnZUO/SBYxOinlWVlZCsqkJakTA2LHA5MkAg4GudXVQPXsWhbW1IABmHE6rGbKpCbV1dVhXXg5HBgNBaE2MnUgEUxkZGDMY4NbUQE5ODvKSkuiiooLfamraJL1uaWmBJZ8PG6EQpW/PCsFgQJbFgqqaGqoVFPCqpQWu7xJWo7UOn6ysbNuipPX1EJqbI1lGBmfPnsW6detw+vRptLS04Obt27AZNgzfZ2biSGEh0ior8ai+HlVsNmp69gR/5kwoTZsGCSMjgMGAjIwMzM3N4evrC3t7e9TV1YHJZEJTUxNTpkzBmzdvkJKSAl1dXRgYGKCiogJJSUmQkZERmd+cnJywbt06SEtL48mTJwgICMD169chEAjQv39/5OTkQEmqDmmx66CJLAR7GWOIpzWOnYjB5p1H4OrqCk1NTUhLS2Po0KFQUlLCjz/+iH79+kFaWhqrV6+Gqalph9lPGAwGBgwYAHl5eURERABordweGBiIvLw8fPfdd7CxsYGJiQmCgoKQmpqK1atXo2/fvtDS0vp0D+KfQEJCApaWlti4cSNcXV07Pc98v726ujoOHTqEgQMHgsViITY2Fn379v08E/4fRCz4xHzRyMjI4MiRIxg+fHir2UheHgIvLyQcPw5rIuBdbkxJyVazX0sLUFWF6qIiyGtpQW7FCiAs7F8mwfR0yKakoLSuDpqamrC0tISunl5rguqaGjzi8zFEKASIoEmEXAYDykTowueDyWRCRkYGQiLICAT49W3B2fcxZbHgwWTCxM4OXfT0oKmhAVVVVQiJkPvqFVL4fMx2dkYXPT2oqaqCW1OD/IIC8JubISsnBylJSYDLxXMDA3hGRODSpUuora0Fn8+Hjo4OvvrqKxgbG2PixInoM2wYYrKzcSwvD6eLi5FBhCdvq6Q/efIElZWVYDKZUFFREW2ufn5+GDZsmMik9i5+7unTpyguLoarqyukpaXx+PFj5L0Nxairq8OqVavw5MkT3Lx5E6mpqRg8eDByc3PAqLyLr51eI8ThNfwc5cErvo3awpvoKluIEa5M2OtxEbVpBwoqCF/1dAGDwYCdnR38/Pzwyy+/oKqqCkFBQVi5cuUHTZ8ODg5wdHTEsmXLkJ6ejoCAAAwYMABSUlKIiIiAhoYGbG1tERAQgFevXmHZsmVwcnJC165d/+IntGOUlJTAZDJx7Ngx9O/f/w9rC+rr6+P69euQkJCAh4cHoqOjYWZmBk1Nzc804/8txIJPzBcNk8nEqVOn4O3tLTq7aQKw5vZtjDh+HNDUBF68AN68ac31yWBAYG2NSADu589DxsamzTkYnjxB3fnzaJSUFKUIk5SUhIqyMqoVFZFXX4/ub50kJCUlkUsEGQBfaWjAwtwcurq60NXWhoGeHhhhYbhz5w4EAgGYTCaYTCam//ADNC5dwpPcXNTU1oLFYqGouBjlZWWwNTbGAz4fFXw+uikoQEJKCuVSUrDo0gX19fUoyM8Hr6EBcgC0N2/GgKAgpKeno7m5Gc3NzdDX10dGRgYOHDiAGzduoLy8HB4eHhgwYAAKCwuRlpaG7Oxs9OzZE56ennj58iVOnz6N6OhoPHv2DNXV1ZCRkYG6ujqMjY3h6ekJZ2dnVFVVgcvlQlZWFnfu3IGioiL8/f1RXFyMjIwMlJSUID09HYMHD0ZISAjOnz+PS3HnEeHLgzf7KbSUCEVlPBiZ2UJdxxCFryrxPO81ZORVYc5Wg2d3AapfxGHZlgT0dveCoqIi1NXV8fXXXyMjIwPHjx/HxIkTceHCBZw4cQJeXl4dakkGBgYYMmQItm3bhmPHjsHf3x/u7u4wNTVFREQEamtr0adPH/Tv3x9EhAULFsDU1BRmZmZ/+XPaEWZmZkhMTERlZSUsLS0/2JbBYMDAwADbt2+Hv78/FBUV8fvvv38w842Y/xyx4BPzRcNgMHD79m2Ym5tDQ0MDANDQ0IDY2FgEhoWhpVs3eOzaBcXZs9H9p5+AceNwT1MTWfX18B04sN31mnNyUBIdDT1T03ZOEPUCAZLq6zG/Vy9oamlBSlISl2troSktDd3mZpS/LY+jwmKBoaKCoBMnUFNTAyUlJaioqIDBYMDM1hYGRDCqq8MrLhc5ubloaGhAly5doKGujq9UVXG9shJ7Cgtx5vVrSDAY+EpNDcrKytDU1ITwzRvc5vPhf+gQMjMzoaenh+LiYpSXlyMiIgIREREYNmwYrK2tIS8vj/LycuTl5UFKSgrKysqoqqpCUlISTp06BV1dXaxevRp+fn6QlZVFdnY2YmJicPz4cWRnZ6OmpgZaWlpwc3PD4MGDweFwoKioiNTUVCQlJcHW1hb9+/fHw4cPkZOTg/T0dFRXV2Pzzz/BQzUeepJPUFoNNPIlIRAKISUlDXU1Nejp6YEpw0RW1nO8qa5HFwMzWBjIwkSxCKPmHICCsjpsbGwgISEBX19fGBoaYv369a1nnQoKWLNmTaemT2VlZYSFhSE+Ph4bNmxA79694ebmBnd3dyxfvhwPHz6Ev78/XFxcoKGhgQULFkBVVRV2dnZ/wdP5YRgMBmxsbPDzzz/Dzs4OqqqqH2yvoaGBrKwslJaWYuDAgYiJiYGBgcEf1joU8+cRV2cQ88UTGRmJHj16wMPDA0Brns758+fjwIED2L9/P2bPno1x48Zh06ZNAIBNmzbBxMQEAQEB7a51LjISPX7+GXp2dm01QQAtQiEmpadjqI4OvFRVEZOejkMNDfBTUYGbQAChQABeYyMUGhrwQEUFVz09YWlpiZMnT4LH44HJZGLw4MEQpKdj/M2bqGYwwFJSApfLRW1dHRgMBmRlZaGkqAhpJhPS0tKQfptpRlpaGlISEpCrrUXpd99heGQk0tPTISsrK4rVu3bt2gerHnC5XBQUFODUqVPYtWsXysvLISkpCTs7O/j7+8PY2BhsNhvKysooKytDZmYm0tPTUVBQgJaWFixatAjW1tZgsVg4evQooqKiUFlZCW9vbwgEAsTFxYHBYGBRoArCvaXRyFDB48dP0dLSAjk5WbBYLDg7u+DdXW1qbkZGRgZqampgbm6GLmpSeFGtDr/vcuDg4IAdO3ZARUUFAPDq1St8/fXXqKioQEBAAA4dOoSRI0dizZo1HZoJhUIhVqxYgcOHD2PDhg0YNmwYXr16haFDh0JNTQ0nT56EgoICYmNjMX36dEyfPr1dOajPxfXr13HixAls2rQJTCbzg21LSkowb948/PLLL3j06BHOnj2LyMhIsdb3iRFrfGK+ePLz81FXVycqScPlcnHz5k2YmppiyZIlqK2tRVNTE8aMGQMA2Lp1KyZPngw5Obk21yktLcWG/fsxSksLUlyuKOH1OyQYDFgqKOBoURG2ZmWBKSeHbpqa0FZSgjeHAxaLBX5zM1Bfj20KCkjMzsb9+/dRWlqKqqoqkbZV1NSEgJEj4cjlQpvNhoGREUyMjcFkMlFTU4O6ujrIsljQ1NKCjIwMiAj8piYwSktxk8PBr7W1kJGRQXl5OZqamlBRUYGmpiZkZ2eDy+UiPz8fJSUlqKqqEiXVZr6NRdTW1ka/fv0wf/58WFpa4s6dO3j+/DnS0tLAYrFQVVWF+Ph43Lp1CwBgYWEBBQUFUdLvmJgYxMXFQUNDAxMmTACHw8GpU6fw/Plz9O/fH0yJFkxzyUNRaS34LQQjIyPU1NSCx2sAj9cINTU10X2XkpR8T/vLxpuaRpjrAaPn7cVv569j3bp1oqB3RUVFhIWFobS0FAcPHkRQUBCuXr3azvSZmZmJCRMmQCgUYvbs2dDR0UFERATq6uowcOBABAcH49SpU9i+fTt8fHzg6OgIFxcXfPvttygqKoKXl9df+qx2BJvNRmZmJnJycmBvb//BtoqKiqisrMSjR48QGBiIc+fOQUtLC126dPlMs/3fQKzxifniuXbtGu7fv48FCxYAAAoKCrB69WqUlJSgoKAA1dXV0NXVxdatWyEjI4MDBw5g48aN7a7zzntwpIICsGIF0IEJic/n49mzZ1BTU2u32ZRXVKAsNxeqBgYYr6aGhCtXRHX8iAgMBgOamppISkqCqYkJcOAAsG1ba+C9iopIwyyvqEBeXh5quFyoqarCTFsbChISrd6nM2aI2mVlZSEsLAzNzc3w8PDA+fPn0dTUBGdnZ/To0QN1dXWorq5GdXU1amtrIScnJ6r/9+6jpKSE1NRU/Prrr6iuroa2tjbWrl2LYcOGoaCgAPn5+YiNjUVKSgqMjIzAZDJFJuX6+nqUl5dDUVER5eXlSElJwdCvpDHfpwEFpU1oaeFDWloa2to6qKx8Ax6PBwkJCXA4ZjAxMQYD/9JS3ml/0oJKQH8IbEOOYefOnVi3bh0GDBiAn376SWR6TkxMxNSpU2FiYgIFBQWkpqbi559/hpeXF+bOnQsmkwlbW1uMHj0aAPDgwQOMHj0adnZ22Lt3L5hMJsLDw5GYmIhDhw7B0dERWVlZCAwMxFdffYU9e/b8obPJp6a2thYzZszAggULYGVl9Ydtp06divXr1+Ply5c4evQoNm3aJNb6PiFijU/MF09TUxNu3LiBAQMGAIBoE9bV1UV5eTmqqqrebsDaKCkpAYfDaedMkJaWhsuXL2PevHmQNDQEzp4FampEuT+BzoWekAgFBQWoLC8HR10dqitXIuT778HlcvH48WNRLTYpKSlISkri7t27AIMBq9GjIWFvDxQWArm5rWWVBALIM5nooqYGPXl5CGpqkFRaip1qaqjz84NFt26iDU5DQwNmZmawsLDAokWLMGPGDHTp0gUJCQm4desWrKyssGzZMgQHB2PkyJHw8vKCo6MjTE1NoaGhASkpKdTX14PJZMLKygpEhKysLJw8eRLr1q1DTEwMcnJyICsri8bGRujo6ODZs2coKSmBnp4eVFRUIBQKkZGRgfz8fBARWFQBAb8JXbVkISUljayiJvx8vgYCIeFYshApzwEmox7pz15i89kKHL/+GkIhwdZUBXp6enj+WogtR25h7vJd4LcI4OPjgzt37mD79u2ioHc2m43Q0FBcuHABmZmZCAgIQGRkJBITE9GnTx+wWCzIycnB1tYWQGus57vA9v3798PPzw8hISGora3FokWLYGRkhF69emHIkCHYtGkT4uLiMGTIEFGquM+BjIwMDAwMsGXLFnh5eUG6g7qQ77cFgISEBAQHB+PSpUtQVFT8qDRoYj4OseAT88XDZDIRHR2NwMBAMBgMlJWV4enTp9iwYQOUlZXRs2dPLFu2DPb29ti/fz/GjBkDZWVlUf+WlhasXLkSEyZMAJvNbi1v1LMn8PvvrSnQWCyR0FNVU4P+e0KvubkZ2dnZgFAIMyUlSIeGAuPG4UVODmJiYvDy5UuwWKzWQHUFBUhJSYHH4+HatWv45ZdfkNvUBPMFC6A6YkTruAxGq4m1SxdI9e0LlchIdFm+HJl1ddi6dSt27tyJ2tpa2NragslkwtDQUGQeYzAYsLKywoQJE2BqaooTJ05gzZo1KCgogIODA9TV1aGiogIdHR0YGhrCwsICdnZ2cHZ2Rt++fTF69Gi8fv0a+vr6eP36tSiRt5WVFfLy8mBubg5XV1fweDzcunULKioqqK6uRktLCwwMDGBiYoxwl0LsvyEEW7UZMpItqGmSxP1cQhcVIYJ6AjLSQFKOHEhCGgMta9GDI48DV6rR104DCrJS4BMLzuYsVElwkJiSAS6Xi1mzZkFDQwNLlixBeXk5+vXrB1lZWYwcOVKUG7RPnz64evUqSkpKoKurC1VVVZHgA1pLOYWFheH27dtYs2YNnJycMGrUKGhra2PBggWQkJCAp6cnRowYgQMHDiA6OhpDhw4VCZnPgZ6eHoqKinDv3j04Ozt/sK2pqSkOHToEDoeD7t274+DBg/D19RVrfZ8KEiPmC0coFNLIkSOJy+USEdHDhw9pyZIlRET0008/UXx8PBERZWdn05QpU0goFLbp/9tvv9Hy5cvb/Z2ePCHy8CC+vT090denl/b2JPT3J3r74bq7U1qXLlTO4ZCwRw+ijRupsb6eNm/eTHZ2djRo0CC6ffs2jRs3jm7dukXl5eVUVVVFq1atInt7e+rSpQuZmpqSrq4u+fj40MmTJ0kgEHS6ToFAQNHR0eTu7k5GRkY0bdo0ys/P/+C9SU5OpsGDBxObzaYJEyZQbm5up22fPn1KISEh1NLSQjwej5YsWUIqKiokLS1NWlpa9ODBAyIiamxsJH9/f6qsrCQiIh6PR69evaKnmWlUe9KcFo7sQvvmGtP9KD3aPl6SepkxKHaxNJ2dBzo5C+RkDHp60J1qz/el5B81aFhPaTr3gznRNf/WT7wLUVUGRUdHk66uLllaWlJ5eTmlpaWRo6Mj9erVi549eyaad1paGunq6pKtrS0FBQWRhoYGzZs3r9N1rl+/ngwNDenXX38lIqKbN2+SqakpzZ49mwQCAfF4PBo0aBA5OTnRq1evPnh/PzU8Ho8mTZpEycnJf9j26tWrNG/ePBIIBLRgwQK6evXqZ5jh/wbilGVivngYDAb09PREqa2am5tFpqKioiJRTsiUlBS4uLi0eSuurKzEyZMnMWnSpPZvy926oWb3bpxQVoaqoiK6SEqC8fo1qKIClVlZqMjIAEdZGRo+PmBs24Z0Dw8MHjYM+/btQ3h4OE6ePAkXFxfs27cPvXr1goaGBlRUVPDtt9/iwYMH2L9/P2xtbcFgMPD8+XPMmTMHlpaWWLJkCV6/ft1unRISEggODsb169dx9OhRVFRUwM3NTVTktSOcnZ1x5swZXLhwATweD3379kVwcDAyMzPbta2oqICWlhYkJSXBYrGwevVqvHz5Ev7+/qiqqoKrqyu8vLyQn58PAKKkz48fP0ZUVBS+X/UjJm4pQ1ZRC6RZSujh4AAXZxdoqMpDSlIKbLYBbG26QVJSAjlZjyBoEcC5pzM01VWQ9Twf9+7fw4uiavxw+CVGT12K06dPw8HBAXw+H66urnj69CmSkpLg5OQEHx8fbNy4EUKhEM3NzRg9ejTs7e2RlpYGc3NzHDx4EAsXLmxTGuodCxYswJYtW7BixQosXLgQrq6uiIuLw7Vr1xAUFAQAOH36NCwtLeHt7Y3nz59/6PH7pLBYLMyZMwfbt28XJTDvjL59+6KlpQW3b9/GmDFjEB0d3aYiiJj/HLHgE/O3QFdXV1TJm/82iwoRtRF8ycnJ7UxIBw8ehLe3d4decVwuF0s2boRg/Hhop6WBsX49+MHBSFJUxC0tLaj/8APkL19G/dq1WHnpEkLDwqChoYEzZ85g8uTJf+ia7uXlhZiYGKSlpWH06NFQUVFBbW0tjh8/jh49emDo0KGIj4/vcPPu2bMnjh8/jpSUFBgbG2PChAno1asX9u7d2y5bDABYWlriyJEjSExMhJKSEvz9/REQEICkpCRRGw0NDZSXl7fpr6CgIKqqEBISgpSUFNjb2+PevXsoKioCn8/HmjVrMHToUBw6dBjHvndBD46cqECEpKQEVFRU4OLijMbGJuTn50NWVg5Kysq4d/8+0jPSIa+gAGtra0hJSWPFzmQoSNVjxy/bceLECUyaNAmDBw/G999/j+XLlyM0NBTffvst9u/fj3379mHgwIG4ceMG8vLy0NLSAm1tbaSlpUFWVhaHDh2Cl5dXh7k+/f39RdUchg0bBh0dHVGldy8vL1RUVGD//v3w9fXFwIEDcf/+/Q/+lp+Sbt26wdPTE1u2bGlX1Ph9GAwGxo8fj4MHD8Lc3Bw6Ojq4cuXKZ5vnPxmx4BPzt+D9ZNV8fqs3IZfLhYSEBJSUlFBcXIz6+vo2WTqePn2Khw8fYuTIke2ux+VysXTpUvTs2RNhYWFgyMjglbk55uTm4r6fH3yuXoXy9Om4nZ8PX19fnD17Ft9//z0OHTrUek74J9DS0sLy5cvx6NEj7N69GzY2NiAiPHr0COPHj4eDgwPWrFmD6urqdn319PQQFRWFzMxMjBo1Ctu3bxc5tVRVVbVrz2azsXPnTty9exdmZmYYM2YMPDw8cOHCBZiZmUFVVRUHDx5EY2Mjmpub8fTpUwCtmsjevXuRlZWFQYMGoby8HO7u7ggLC0NdXR2UlZUhKSmJ1BpnpD1vP668nDy+cnKCpaUlGhsbUVVZCXNzM/B4PBS9LMKbyjews7OFsrISnpcI0N93GC5cuCAqTxQcHCwS0q6urigpKUFKSgq0tLTwyy+/oH///ti8eTPOnTuH6dOng8lkQk9PD0pKSp2WOerWrRuuX78u0oSrqqoQFxcHfX19eHp64unTp1i/fj0mTpyIkSNH4vLly3/qd/3/EBISgvLyciQkJHywnY2NDfT19XHx4kWEhYXh2LFj7UpiifnziAWfmL8Fenp6Io2vubkZTCazQ23vnTlTKBRi586dGDt2LGTf89wEgJqaGixduhROTk6tQo/BwN27dxEREYGBAwfim2++AY/Hw/z58zFhwgTY2dkhLi5OlOPyP+VdppLTp0/jwYMHCA0NhbKyMsrLy7Fr1y5YWVkhNDQUycnJ7fqyWCzMnDkT9+7dQ2RkJO7duwd7e3uMGzcOjx8/btdeS0sLUVFRePToEdzd3TFnzhz06tUL3bt3R3FxMcaPH4+xY8fi5s2b7e7zsWPH0K9fP/Tq1Qvnzp1DYmIihg4diuHDh+PGMwZ6WigC1F7rBABtTW2oqalBS0sb2dnZkJSUgoqKMl6XlCA5+Ta+9lSFQKs/ampqEBISgpycHNFGrqmpiZMnT4q0v3HjxiEqKgrr169HVFQUwsPDRWbvpUuXws3NDQ8fPkSvXr0wbdq0Dk2fKioqiI2NRc+ePeHt7Y2kpCQcOXIEAwcOREBAAK5evYqIiAgsXboUkydPxtGjR//Tn/dPISUlhblz5+LAgQMoLS39YNtx48bh5MmT6NKlC4yMjBAfH/9Z5viP5r98xihGzEfx5MkTmjNnDhERXbhwgbZt20axsbG0adMmIiKaO3cupaWlidrHxcXRggUL2jm0cLlcmjFjBh08eJCEQiEJBAI6dOgQjR07lp49e0ZCoZBiY2PJycmJXF1d6fr163/pugQCAZ05c4b8/f1JR0eH2Gw26ejoUM+ePWnz5s1UX1/fad/MzEwaO3YssdlsGjBgAJ07d65T55mmpiaKiooiKysrsrW1pW3bthGfz//D+T19+pT69etHLBaLlJSUaMGCBdT8YBlRbA+iqwP/5bDSwacx3ose/KRPl5fK0uPtJpS3U5fOLpSjKVMmE5fLpWfPnpG3tzd169aNTp482WbcsrIyGj58OHE4HIqOjqbS0lIaPHgwWVhY0MWLF0Xtzp07RxwOh/z9/cne3p769etHxcXFHa5l27ZtxGazadu2bUREtGPHDmKz2XTgwAEiIvr999/J0NCQNm/e/If35VPx22+/0cKFCz/o9EREtGXLFtq7dy/l5OTQ6NGjicfjfaYZ/jMRCz4xfwuqq6tp1KhRRER0+vRp2r17N+3Zs4diYmKooqKCgoODRRt5bW0thYWFUU5OTptrcLlcmjlzJh04cICEQiHV1NTQ8uXLadGiRVRVVUVlZWU0fvx4Mjc3p+XLl1NdXd1nXWNRUREtXLiQzM3NSU9Pj/T19alr1640ceJEysjI6LTfmzdvaNmyZWRhYUEODg60adOmTjdGgUBAe/fuJUdHR7KwsKC1a9d+1Cb64MEDcnZ2JhkZGdLTUqH0HdYkuOj4h8KPrvlT5ele9GiDIiWvlqOdm74jX19f4nA4tHPnThIIBLRnzx4yNTWlIUOG0MuXL9uMGx0dTRwOh4YPH07l5eW0Y8cOMjIyovDwcNG8S0pKyNvbm6ytrWngwIHE4XDowoULHa7j6tWrxOFwaNq0aSQQCOjixYtkbGxMy5cvJ6J/eYAuXbr0D+/Jp0AgENCiRYvot99++2C7N2/eUHBwMJWWltKPP/5IMTExn2V+/1TEgk/M3wKhUEgjRoygmpoaOnHiBB04cIBWrFhBKSkpdP78eYqKihK13bFjh+it/h01NTVthF5OTg5NmDCB9uzZQ3w+n44ePUrW1tbk5eVF6enpn3t5bRAIBHTy5Eny8fEhbW1tMjAwIC0tLerTpw/t3bu3UxSy8LYAACAASURBVE2tpaWF9u3bR66urmRiYkJz5szpVPsRCAR06tQpcnNzI1NTU1q8eDFVVVX94dxu3bpFtra2pKnCpCMzZej1AX0SXu7bueBL8CK62IOEV3zo6J41ZGZmRl5eXhQVFUWWlpbk7u5OqamplJSURGw2m+Tk5Mja2poCAwNp+PDhNHz48HbaX05ODvXt25fs7e0pJSVFtJ7vv/+e2Gw2BQUFkaGhIUVERHSoSeXl5ZGjoyN5e3tTVVUVPXr0iLp3705jxowhPp9PmZmZ1K1bN5oyZcofamKfgtLSUgoJCaG8vLwPtjty5AhFRkZSYWEhhYaGfvYXs38SYsEn5m/DN998Q8+ePaPDhw9TdHQ0TZw4kYqKiujbb7+l27dvE1HrphYaGko1NTWifu+E3v79+0koFNKVK1coJCSEEhMTqaioiIYPH07m5ua0ZcuWjzL/fU4KCgpo7ty5onhAPT09MjIyolmzZrXTaN/nxo0bNGTIEOratSsFBQWJBERHJCQkkI+PDxkaGtKMGTM6FZbvExcXR9bdORTaW4ouL2VS2SFDEsY6EcX3IorvTRTnTBTrRHSpD1HWNqLGN0TUqo3Pnj2b2Gw2TZo0iWbOnElsNpumTJlCXC6Xrly5Qvb29uTs7Ex3795tM+b72l9paSmtXLmS2Gw2LV26VCSgbt68KRKotra2nZo+6+vraciQIWRra0tPnjyhV69ekbOzM3l5eRGXy6WCggJycHCgoKCgz/JMXL58mWbOnEnNzc2dtuHxeDRmzBjKzs6mqKgoio6O/svn9U9FLPjE/G1Yt24dXbt2jfbv30/R0dE0dOhQqqyspKCgIGpsbCShUEiLFi1qY+aqqamhWbNm0b59+6i5uZm2b99OkydPpry8PNq+fTuZm5tTYGAgFRYW/hdX9se8C2739vYmLS0t0tfXJ01NTRowYMAHA+Pz8/Np+vTpZGRkRO7u7nT48OFO2967d4+GDRtGBgYG9PXXX1N2dvYfzismJoaMjNjkYi5FkV+r0Ivj/kR3ZxA9XEr06hJRS2OH/Z49e0Z+fn4is6KPj4/I/NnU1ERLly4lNptN4eHhVFtbK+r379pfR0Hv1dXVNHz4cDIzMyNvb+9OTZ8CgYAiIiLI2NiYzp07R/X19RQQEEA9evSg/Px8evPmDfXu3Zu8vLzazOGvQCgU0sqVK0XnjZ0RGxtLixcvpuLiYgoODm7zgifm4xELPjF/G3799Vc6cuQI7dq1i3bt2kVTpkyhK1eu0MqVK4mIKDExkWbOnCna2N8Jvb1791JFRQXNnz+fVq5cSQ8fPiRvb2+ytLSko0ePts/o8oXz4sULmjVrFhkZGZGOjg5pa2uTmZkZLV68mEpKSjrsU1tbS+vWrSNra2uytLSklStXdrppPnv2jMaMGUMGBgYUGBhIqampH5yPQCCg/fv3k56eHjGZTDIzM6PLly9/1FrOnDlDNjY25OzsTCtWrGhj/nzn/GJhYdHO+eV97a+4uJhmz55NhoaG9NNPP4l+/y1btpChoSH5+fl90PR56NAhMjQ0pHXr1pFAIKDw8HAyMzOjlJQUamhoIF9fX3J2dqbS0tKPWtN/SnV1NY0ePZqePHnSaZuWlhYKDw+nu3fv0tatW/9QUIrpGLHgE/O3ISEhgTZs2EBbt26lDRs20MqVK2nVqlWUkJBAPB6Pxo4dS5mZmUTUVuilp6fTmDFjKDo6mlavXk0mJiY0ceJEUUquvyt8Pp8OHjxIffv2JQ0NDdLT0yMtLS0aMmQIxcXFdbjJvzs/9PDwIENDQ5oyZQo9f/68w+u/fPmSpk2bRmw2m3x8fOjatWsfnI9AIKDNmzeTpqYmMZlMsrW1pTt37nzUOlauXEmGhoY0fPhwmjp1ahvz5969e4nD4dDgwYOpoKBA1O/ftb8rV66QpaUl+fj4iMybjx49oh49epCTkxNZW1t3avpMSUkhCwsLGjt2LPH5fFHas5iYGBIIBBQSEkI2NjYfTAn3KUhJSaGJEyd+0OHo7t27FB4eTq9fv6bg4OC//XP830As+MT8bch+eI1+XjaKYraG067VX9Ox3SspKGg41dTU0K+//kqRkZFE1Cr0vvnmG9q9ezedPn2aQkND6ddffyVXV1dycHD4aG3k78SzZ89EQkpbW5s0NTXJysqKVq1a1anTSmpqKoWGhpKBgQH5+/vTpUuXOmxXWVlJCxcuJGNjY3J3d6fffvvtg04ffD6fVq9eTaqqqiQjI0MuLi6iF5IPUVxcTKGhoWRoaEjTp0+nAQMGEIfDod27d9ObN29o7NixbTSzd7yv/eXl5dGYMWPIxMSEDh06REStZ2MTJkwgY2Nj6tu3b6emz+LiYurVqxe5u7tTaWkpnThxggwNDSkqKooEAgHNmjWLzM3N24TN/BVs2rSJtm7d2un3QqGQFi9eTLGxsSLrh5g/h1jwifmyEfCJypKI7oQT/7w9ZW1Vp6J9XSnnF20qOWBAj7Z3ozfph2hM6AiqqKgQCb1ffvmF1q1bR+Hh4TR16lQyMjKiiIgIamho+G+v6C+lqamJ9uzZQ25ubqSuri4yhQYHB4scgP6d0tJSioiIIA6HQ1999RXt2LGjQyeL+vp6WrVqFVlYWJCTkxMdOHDggwKQx+PRokWLSElJiWRkZKh///4fpTHdvHmTXF1dydramubMmdPG/Hn16lVycHAgZ2fnNg475eXlbbS/kydPEofDoVGjRokE/+HDh0XCj81md2j65PF4FBISQt27d6fU1FRKTk4mDocjMqGvXLmSjI2N/1D7/f9QX19P48ePb+fc8z7Pnz+nMWPG0KtXryg4OJjKy8v/svn8ExELPjFfLg2viW6OaPUOjHMh4VU/uh+lS892cuh+lB49+cWYKo5ZUtFePXodbU31xXfpm2++ocjISJo+fTqFh4eTra0tubm5iSoP/C+RmZlJU6ZMIX19fdLW1iZ1dXVydHSkTZs2dRgY39TURNu3bycnJyficDi0aNGiDs+1+Hw+bdmyhWxsbMja2po2bdpETU1Nnc6jtraWpk+fTgoKCsRisWjw4MF/6DkqEAhox44dxOFwyNPTk8aNGycyf76LW+zI+eV97e/Jkyc0aNCgNkHvubm51Lt3b7KysiJLS8tOTZ/vTK/Hjh2j3NxccnBwoCFDhhCPx6MdO3aIzKB/FRkZGTRmzBhRRZKOiIyMpCNHjtCBAwc+qCGKaY9Y8In5Mml4RXTFu9Ut/r24sIythpS+xZBur9Wgext0qeykMz3abEDNF1wod4cubflhPA0fPpy8vLzIyMiI1q1b98WFKHxu3m3Wrq6upK6uTlpaWqSnp0cTJ06kR48eddgnLi6OBg4cSAYGBhQaGtqhee9d1puePXuSubk5ff/99x/0fqyqqqIxY8aQnJwcycrKUlhY2B+eT9XU1NCMGTOIzWZTSEgIeXl5EYfDoV27dtHTp09Fzi8nTpwQ9fl37W/79u1tgt4FAgHNnTuXDAwMyMXFpVPT56lTp8jIyIiWLVtGb968of79+5OrqyuVlpbSyZMnydDQkHbs2PHB+f9/2Lt3L61Zs6ZT56vS0lIKDg6m/Px8Cg4O/uwllv7OiAWfmC8Pfj3RjaFE8c7tAqKf77Ggext06dZqVcrYakiPNhvQm1OulLnNiJ5u1aGHG5Spl50B+fr6fjDO7X+VtLQ0GjduHOnq6pKmpiapqamRm5ubKJD/33n27BlNmjSJ2Gw29e/fn06dOtWhefPcuXPUr18/MjY2pvnz53/Q9FZaWkqBgYEkKytL8vLy7bS2jnj8+LEo5GHChAnUrVs3kflz3759xOFwaNCgQW2cX97X/u7cuUPu7u5kb28vcri5ePEicTgc6tmzJxkYGHRo+kxPTycrKysKCgoSZQSytLSkzMxMunbtGhkbG4u8ij81TU1NNH369A/W4du7dy9t2bKFoqOjaePGjX/JPP6JiAWfmL+chIQEWrBgwcd3ePl7ay7IDjKBvDxsR7dWq9HNVaqUuc2Ynu4wFWmAV76Tp4frmHTv4NC/XYjC56b+bUHdr776ilRVVUlDQ4O6du1KM2fOpBcvXrRrX11dTT/88AN1796dbG1taf369R2aS2/evEl+fn4is+T7gujfKSgoIB8fH2KxWKSoqEgLFy6kxsaO4/7eERMTQ9bW1tSzZ08KDg4mNptNU6dOpYKCApHzy9q1a0UC7H3t7/Dhw/TDDz+0CXovLS0lHx8fMjMzIwsLiw5NnxUVFeTh4UHOzs5UWFhI3377LRkbG9OlS5coLS2NzM3N24TRfEpycnIoNDS00xeJ2tpaCg0NpadPn1JoaOgXH4/6pSCuziDmy4IIyD0ASMp3+LWMDAt8fjNaWvior69DfX0DysrKUFPDhbKyMrrZ9IajdgkYLXV/atjDhw9jxowZGDx4MKKjoz/BQr5s5OTkMHPmTNy5cwfx8fHw8/NDc3Mzjh49CicnJ3h5eeHEiROiagfKyspYtmwZMjIyMH/+fJw7dw7W1taYNWsWCgsLRdft3bs3Lly4gDNnzqCyshJubm4ICwsTlT96HwMDA8TGxuLRo0ews7PDpk2boKOjg7Vr13ZYoxAAAgMDcf/+ffj6+iI5ORnW1tbIysqCp6enqF7hyZMn0atXL9y5cwcaGhqiig/ff/890tPTsX//fsTGxsLd3R1VVVW4cOECRo8ejYaGBtTU1MDd3R0XLlwQjamuro7Lly/D2toanp6e8PHxwZIlSzB58mSkpqYiNjYWN27cQFhYWKfz/k8xNjbG4MGD8dNPP3VYu09BQQFBQUE4ceIEhgwZ8j/x7H4KxIJPzJdFdQbQ8BKQUuzwaxZLBs3NfLS0CMDj8VBWVgYiIWxtbdHDwQFMlhxALUDJpT81rK6uLsaNGwcnJ6dPsYq/FU5OTjh48CBevHiBxYsXw9DQEKmpqQgPDweHw8GSJUtEtRAlJCQQFhaGxMREHD58GK9fv0bv3r0RGBiIW7duia5pZ2eHEydO4OrVq2AymfD19cXQoUNx586dduObmZkhMTERd+/ehYmJCVasWAFtbW1s3769Q0HCZDKxfPlyJCUlQUFBAXl5ebC1tcXGjRvxww8/4JdffoGXlxdGjhyJadOmoa6uDsHBwbh9+zYAYMqUKZg1axYcHR3h4+ODrVu34ttvv8WxY8fQ1NQEOTk5hIeHIyIiQjS+hIQEdu3ahfDwcIwePRoAsGvXLqxZswZ79uzB5cuXkZeXB39/fzQ0NHzS32fYsGFobm7GuXPnOvzez88PhYWFYLPZePz4MXJzcz/p+P9EGNTRa4QYMf8hFRUV2LVrFx4/fgwiQp8+fcDhcBAfHw8LCwtcunQJ8vLymDZtGnr06AEASEhIwKlTp1BRUQFlyTcYblkIH7duAICM3BpEnchFgIs2Tt96DYBgr10CCQbhUjpAkrL4eqA5gvu31uXLflmHXb9no6hWCUxtJ7i6umLixImQkpL6qPlHRUVBV1cXISEhf8n9+buQlJSEbdu24fLly6DWIxH07t0bU6dOxYABAyAh8a935qKiIkRFReHs2bPQ0dHB5MmTMXr06DZtXr9+jbVr1+Ls2bPgcDhYsGABvLy8Ohw7OTkZkyZNQnZ2NjQ0NBAZGYnQ0NBO55qYmIiFCxeivr4eJiYmSEtLg6+vLyZNmoQlS5agoKAAK1asEBUkPnr0KJYvXw5bW1sEBwfju+++g4GBAfbs2QMFBQVMnDgR9+7dg7S0NPT19XH48GHo6emJxouPj8f06dMREBCA8ePHIzg4GHZ2dti6dStGjBgBHo+H33//HWpqav/fn0FESUkJ5s+fjx9//BFdu3Zt9/3NmzcRExOD/v3749GjR1i2bNknG/sfyX/Tzirmn4VAIKAZM2bQ7t27icfjUVNTEz1+/JgSEhJo8ODBomwiFy5coDFjxojO4e7evUuvXr0ioVBIGeeX0TBXFXpxuB/RNX9K39uHBrlq09Fl9sRP8KPYdV+RuwVonDuo4PBXVHCsPw1z06HXp7xanV8O96Nne3tQS9JEKi0tpalTp9KZM2c+eg0bNmygI0eO/FW36G8Hl8sVpTpTUVEhFRUVsrCw6DAwnsfj0caNG8nOzo4sLCxo+fLl7dpwuVxaunQpmZqaUq9evej48eOdno1dunSJTExMSFpamthsNp07d67TeQoEAtq2bRuZmppSnz59yM3NTRT8/i7zy/vOL++f/e3bt08U9H748GEiItq+fTsZGBiQlZUVmZqaths7OzubHBwcaODAgZSTk0Ourq7k4eEhuq6Dg8MHzzf/E2JjY2n27NkdOiEJhUKaO3cuxcfHi2pLiukcseAT88l4+vQphYSEUEtLS5u/JyQk0KRJk0T/b2xsJH9//45d2V8coJWjden3VY4iwTfMTYcEV1rrvjXE+VIfSxY9PtBH5PDyTaARJW/r9S8nmPjerYmSqTUX5KpVqz56DWLB1znXrl2joKAgUlNTI1VVVVJXV6dRo0bRrVu32rQTCAT0+++/k7e3N7HZbBo3bly7/JM8Ho/Wr19P3bt3JwcHB1Ftvo6IiYkhfX19kpaWJjMzM0pMTOx0jlwul8LDw0Vp1iwsLMjd3Z1u3LjRofPL+56f7+oCjho1iqqrqykzM5McHR3JzMyM9PX1acGCBW3mWFtbS35+fuTg4EAZGRk0ZMgQsre3pxcvXtDUqVOpW7duH5Wx5mMRCoW0YsUKkXD+dzIzM2ncuHF09uzZz1ZP8O+K+IxPzCejoqICWlpakJSUbPedioqK6N8yMjIAgMbGRgBAamoq5s+fj+DgYIyauxepL3ioaWgRtVeUk4KEBAMAwJSSgJKSEjSUZETfM6UY4DUJAADF5Tz8cCgXo3+4hREjRuDXX39FTU3Np1/s/yB9+/bFiRMn8Pz5c8ydOxeampqIjY3FwIEDYWdnh59//hkNDQ2QkJDAoEGDEB8fj/Pnz0MgEMDX1xe+vr6IjY0FALBYLCxYsAAZGRmYPHkydu7cCRsbG0RGRoqei3cEBgaioKAAu3btApfLRf/+/WFnZ4cHDx60m6OSkhK2b9+O8//X3n1HRXWuawB/ZpihDL2IlABDDSiISLFRNALWoKKi2CIoEaJAKPGgV6MxHqPGiFExseOxIJaQqDGxEI1YL5YYjSAWBBGkCImUYYCZ9/7hzZzDQU1ijBp5f2u5ls5m9v72t1w+fn3/fiiVSrS0tEBdXR3jx4+HpqYmVq1ahV27dqFXr144e/Zsq7G/xYsXIykpCQ0NDejZsyfu3LmDnJwcBAQEAAD27NmDwMBA1Xinjo4O9u3bB39/fwwbNgxTp06Fn58fBg4ciIkTJ2LEiBEYNmxYq7HPP0MgECA2NhbffPMNCgoK2lzv3Lkz7OzsIJPJcO/ePVy+fPmZPPdVxMHHnhkTExNUVlZCoVD87u80Nzdj4cKFGD58OLZs2YIdO7+Ep6M2SPn77/GfVn91G6+ZqGPtms+wc+dOTJw48ZGz4djTMzIywuzZs5GXl4ddu3YhICAAxcXFmDdvHqRSKSIjI/Hjjz8CAFxdXbF582acO3cOnp6eSEhIgJeXF1auXInGxkYIhUJMnToVubm5mDNnDr788kt06dIFc+bMafUfFqFQiEmTJqG0tBQff/wxSkpK0KNHD/Ts2RPXrl1rU0ZXV1ccPHgQ//znP1FWVoYOHTrghx9+QEJCAqKiohAcHIzRo0cjJiYGmpqaqpmfy5Ytg7q6OiIiIvDOO+8gMTERK1aswNKlS0FEuHv3Lvz9/bF//35VuVJTUzFz5kxER0fDzs4O0dHRGDt2LFxdXREXF4cJEyZg7969z6zuo6OjsWzZMsjl8jbXIyIi8NVXX2HYsGHYunUr/91/DA4+9sw4OTnB0NAQmzdvRmNjI5qamh45jf0/tbS0oLm5Gfr6+lBTU8P5K4W4eFcX+IPLEX4lkzVCotcBmmY+KCkpUbUwfktLSwuampqgVCqhUChUv2dPFhQUhK+++gr5+fl49913oaenhz179sDPzw89evTAhg0b0NTUBBMTEyxYsABXrlxBTEwMtm/fDjc3NyQlJaG0tBRCoRCjR4/GyZMnsXLlSpw5cwZdu3ZFQkICKioqVM8TCoWIj49HRUUF5syZg7y8PHTp0gWBgYEoKSlpU76wsDDk5uZi0KBBKCsrg5mZGVJTU3H8+HGsWLECt2/fhre3NzIzM1u1/tatW4e4uDhcvXoVvXv3hp2dHY4ePQozMzMoFApMnTq11azPyZMnY+vWrUhLS0N+fj6WLl2KlJQUyGQyLFy4EPHx8di0adMzqXNfX184Ojo+8n6Wlpbw9fVFSUkJHjx48MhWMePgY8+QUCjE+++/j9LSUkRGRmLSpEnIycl54ne0tLQwdepULFq0COHh4fj+++/R3W/Qw4vKlid+tw0iRAbq4thNQ4SNHo2VK1fCz8/vd3111apVGDFiBI4fP46dO3dixIgROHr06B97fjtmamqKuXPnoqCgABkZGfD390d+fj4SExNhY2OD2NhY3Lx5EyKRCJMnT8bp06exbt063Lx5Ez179kR4eDhyc3MBAP3798fhw4eRkZGBwsJC+Pj4YMqUKSgsLFQ9TygUYs6cOaioqEBcXBzOnj0LBwcHDB06FJWVla3KpqmpiQ8//BDHjx+HmZkZ5HI5FAoFpk+fDqlUiri4OMyZMwchISFoaGhQtf5Wr14NExMTBAUFYdSoUVi/fj2ys7MRFhYGAMjMzGzV9enr64sjR47gxx9/xGeffYa1a9diw4YNOH78OFavXo0FCxZgyZIlz6S+o6OjcfbsWVy8eLHNtbFjx+L7779H//79udX3OC92iJGxx7i2muiAB1H2wEfu4NLm13eDiQ54Ep1LeHiiA3vhysrKaNasWSSVSklXV5f09PQoICCgzUzOW7duUUxMDEmlUgoICKAdO3a0un7lyhUaO3YsWVtb0+jRox+5v2h9fT1FRUW12gf0cQftfvfdd+Tj40POzs7k6elJjo6OtHz5ctXkl4ULF5JCoWg183PhwoXk6elJvr6+lJ+fT99++y05OjqSVCpVneD+K5lMRiNHjiQ3Nzc6dOgQeXp60pAhQ+j48ePk6OhIycnJz2SXl4sXL9KkSZMeud1bZmYmffTRRxQXF0enT5/+08961XDwsZeTUkl09ZOH4Xe4z5ND70gg0YFuRLnTiZpf7WOH/o4UCgV98cUXFBQURHp6eqSrq0tWVlY0Y8aMVtuD1dbW0kcffURubm7k6upKCxcubPWPelFREU2dOpVsbGxo8ODBlJOT0+ZZNTU1NGbMGNLU1CSJRELR0dGPPNRVoVDQp59+Sg4ODtStWzdycHCggIAAWrduHXl6elL37t1Vxx79OvMzNDSUoqKiSCqV0ooVK6i8vJwGDhxIlpaWZG5u3mrWp0KhoNmzZ5OtrS1t27aNgoODqUePHpSTk0Ourq40adKkZxJ+a9asoSVLlrT5vLGxkSZNmkS7du2iadOm8RZ+/4UXsLOXFxFw92vgxudAYwUAISDWBQRqACkBRQOgbAJE2oDtBMB2IiB89EL1n376CfPmzXvktV27dv1178BaKSkpwYoVK5CRkYFffvkFAoEAvXv3RmxsrGphvFKpxK5du7BmzRoUFhZiwIABSE5Ohr29PQCgsrISixYtwpdffgkbGxskJiZiyJAhrZ5TUVGByZMn4/DhwxCLxZg+fTo+/PDDNhsZ/Pzzz0hJScE333yDDh06oKKiAgMGDICxsTEyMjIwYMAALF26FI2NjYiJicGlS5cwatQo1bPXrl2LrVu3YuXKlRAIBHB0dMS2bdtUC94zMzORkpKCiIgIFBYW4uzZs1ixYgVmzZoFc3NzZGZmQlNT86nrUy6XIz4+HuPGjWvTrX/kyBEcPHgQSqUSQ4cOhb+//1M/55XzopOXsd+kVBBV5RKdTyI6OojocADRdwOIzkQRlWUTtTz+LDj2clIoFLRr1y7q06cP6erqko6ODtnZ2dEHH3zQatF7bm4ujRkzhqytrSkkJISys7NV12pra2nevHnk5OREPXr0oK1bt7ZpRd25c4f69u1L6urqpK+vr+rG/G8XL16kfv36ka2trWrR+oIFC6h///7k7OxMO3bsIKJ/t/6GDRtGI0eOJHt7e9q2bRudOXOGXF1dydLSkmxtbVt1febm5pKLiwuNGzdOtcH17t27qW/fvhQQENBmkf8fVVBQQOPGjaOqqqo2dTx9+nRKT0+nt99+u8362vaMg48x9kLdvn2bEhISyMzMjHR0dEhfX5+GDx/eamF8WVkZJScnk4ODA/Xo0YPWrFmj2sFELpdTamoqubm5kbu7O6WlpbXZ3aSgoIC6d+9OYrGYjI2N6fPPP39kAG7fvp06depELi4uqjHH+fPnk6OjIw0ZMoSKiopajf3FxcWRg4MDhYeH0927d2nMmDHUsWNH6tixY6uxvPLycgoICKDevXtTamoq2djY0IoVK2jYsGHk6en5mwfz/pbt27fT+++/36ZL8/z58xQVFUX/+Mc/6PDhw3/qGa8SDj7G2EtBoVDQtm3bqFevXqStrU3a2trk7OxMqampqiOQZDIZrVq1ijw9PcnJyYlmzpypOrJHoVDQxo0bycvLi5ydnWnhwoXU0NB6zPfy5cvUpUsXEolEZGZmRhkZGW3KIZPJaObMmWRtbU2dO3cmS0tLmjRpEo0bN67V5JdfW39Dhgyh/v37k4uLCx08eJA+//xzsrCwoI4dO1JAQADduXOHiB6eXP/WW2+Rs7MzpaWlkb29Pb333ns0adIk6ty585/aZqy5uZkSEhIeeaDu7NmzafXq1RQZGUlNTU1P/YxXCQcfY+ylc+PGDYqJiSETExPS1tYmQ0NDGj9+fKuT4A8cOKA6+2/ixIn0448/EtG/J9P4+/uTvb09paSktOlOPHHiBDk5OZFIJCIbG5tHJNJ0LgAAGwlJREFUBkZRURGFhobSa6+9Rk5OTuTg4EDvvfceeXp6ko+PD505c6ZV6+/XWaHvvPMOnT9/njw9PcnU1LTNPqOLFy8mqVRKS5YsITc3NxozZgwlJSWRo6OjakLN07hz5w6NHTu2Tevx1q1bNG7cOJo5c+Yj37M94uBjjL20mpubKT09nby8vEhbW5skEgm5u7vT+vXrSS5/OLabn59PkydPJhsbGwoMDKSsrCxVF2N2djYNGDBAFUj/HQoHDhwgGxsbEolE5Ojo2GbfUaKHm2V7eXmRra0tWVlZkZ+fH0VHR6sO262trVW1/gYMGEA9e/akbt260cmTJ2nq1KnUoUMH6tChQ6uuz3379pGdnR3FxsZS7969qU+fPvThhx+Sra0tHThw4Knra+/evZSUlNRmPC81NZWWLFlCEydOVNVbe8bBxxj7W8jLy6PJkyeTkZERSSQSMjY2pujoaNWJ8TU1NTRv3jxycXGhrl270ieffKJaypCbm0uhoaFkbW1NEydOpIKCglb33rVrF5mbm5NIJCI3N7c2awUVCgV98sknZGtrS/b29mRhYUHh4eEUGBiomvzya+vPwcGBRo4cSTY2NjRnzhzKzMwkKysrMjExIX9/f1XX59WrV6lLly40ZMgQGjp0KLm7u9OiRYvIxsaGtmzZ8lR1pFQqafbs2arJOL+qrKyk8PBwmjVrFmVlZT3VvV8lHHyMsb8VuVxO69atI3d3d9LS0iKJRELdu3dXLXxXKBSUnp5Ovr6+ZGdnR3FxcVRcXExED1uHEydOJGtraxoxYgSdP3++1b3Xr19PJiYmJBaLycfHh27dutXq+v3792nKlClkYWFBUqmUHBwcKDIykhwdHWnw4MF0+/ZtVesvMDCQ3N3dydfXl44dO0Z+fn5kbGxMVlZWqq7PmpoaCg4OJi8vL4qMjCQHBwdatGgRSaVSSk1Nfar6qayspHHjxqn+Q/CrzZs305w5c2jcuHFtxj7bGw4+xtjf1uXLl2nChAlkYGBAWlpaZGpqSgkJCaouzZycHAoNDSUrKysaMWIEnTx5koiI7t69S++8847q+KKjR4+q7qlQKGjp0qVkYGBAYrGY+vbt26aL9Pz589S3b1+ysLAgCwsL6t27Nw0dOpSkUin985//pPLyctVyh+DgYJJKpbR8+XKaOXMmGRsbk5GRkarrU6FQUExMDDk6OlJsbCxJpVJ6//33ycHBgWbNmvVU9XLs2DGKiYlp1a1ZV1dH48ePp5SUFMrMzHyq+74qOPgYY397v872dHFxUbUCAwIC6MCBA6RQKKioqIji4uLIzs6OfH19afPmzaRQKKimpoZSUlLI3t6e/P396Ysvvmiz+4quri6pq6tTSEhIm0kyW7ZsIWdnZ3rttdfIzMyMQkJCqGvXruTt7U2nTp1Stf78/PzIycmJBg0aRBkZGWRra0uGhobk6+ur6vpMS0sjGxsbiomJIVtbW4qLiyMXFxeKior6w7u8KJVKWrRoEa1bt67V5/v27aP4+HgaO3bsI7c6ay84+Bhjr5Tz589TWFgY6evrk5aWFllaWqpOg6+vr6elS5eSu7s7ubi40Lx581SfL1y4kJydncnb25s2btyoChu5XE5xcXEkkUhIQ0ODxo4dq1peQfQwdGfMmEEWFhZkaWlJUqmUhg4dqpr8UlhYqGr99erVixwcHGjNmjU0YMAAMjAwIEtLS1XXZ3Z2Njk4OFBYWBg5OTnRmDFjyMPDg0JDQ//wpJQHDx7QxIkTW41XNjc309tvv03JyclPPY74KuDgY4y9kurr62n58uXk4OBAmpqapK2tTQMGDKCcnBzVkofAwECysbGhKVOmUH5+PjU3N1NaWhq5u7uTm5sbpaamqgJHJpPRW2+9RZqamqSlpdWmK/HWrVs0bNgwMjU1JVNTU/Ly8qLevXuTs7Mzbd++XdX66969O0mlUgoPD6f58+eTsbExGRgYUGJiIikUCrp16xZ5enqSv78/eXh4UGBgIPXq1Yv69ev3h1tp586do4iICKqrq1N9dvLkSYqMjFSdNN8e8bFEjLFXkkQiQXx8PK5fv45jx44hMDAQJ06cQFBQEOzt7XH9+nVkZWVh7969kMvlCA4OxtChQ2FnZ4cLFy5gxowZyMzMhJubG+bPn4+Wlhakp6ejvLwcgwYNwsaNG2FsbIyUlBQolUrY2toiKysL6enpsLS0xJ07d3D9+nVYWFhgzpw52LZtG3bs2AErKysIBALk5+cjIyMD8+bNg6mpKdavXw9fX1+IxWIcO3YMhoaGaG5uRmNjI+RyOYgIgYGBrc4n/C2enp7w8vLCunXrVJ/17NkTxsbGMDU1xZ49e/6Kqn/5vejkZYyx56W2tla1ZEBDQ4N0dXUpNDSULl68SOXl5TRz5kxydHQkLy8vSktLI7lcTvv27aO+ffuSnZ0dJSUlqXaKKS8vp/79+5NYLCZ9fX1atGhRq/HBJUuWkJWVFZmampKVlRX5+vqSVCqlBQsW0NatW8nR0ZE8PDzIysqK3n77bRo5ciTp6emRubk57du3jxQKBc2YMYPs7OwoODiYXn/9dRo4cCC5ubm1mbH5JDKZjKKioujUqVOqz/Ly8mjMmDE0atQoun///rOt5L8BDj7GWLuUk5NDAwYMIG1tbdLQ0CAnJyf6/PPPqb6+ntasWUPdu3dX7dZy7949ysnJocGDB6vG7oqKiojo4Y4pvr6+JBKJVPuA/qqyspIiIiLIxMSEjI2NqUuXLuTi4kLe3t709ddfq9b7OTs7U7du3Wj27NlkbGxMenp6lJCQQAqFgjZv3kxSqZSCg4PJxsaGQkJCyMnJqc1SjCfJy8uj8ePHU3V1teqzjz76iKKjo2n16tXPrlL/Jjj4GGPt2q8L3y0tLUlDQ4P09fVpwoQJdP36dTpy5AiFhISQtbU1hYeH07lz5+jSpUs0evRosra2pnHjxtGVK1eI6OFG2N26dXvkPqC5ubnk5+dHRkZGZGRkRN7e3mRlZUVRUVG0YcMGcnBwoE6dOtFrr71G06ZNIzc3N9LR0SEfHx+6c+cOnTlzhpydncnPz4+sra1pyJAhZGdn1+q0it/yr3/9iz744APVRtalpaU0cuRIGjFiBJWXlz/bSn3J8RgfY6xdMzAwwNy5c1FSUoJvv/0WHh4e2L17N1xdXZGQkIAxY8bgyJEj0NPTw8iRI/Huu+8iNDQUR44cgaamJgYPHoxhw4ahuroa58+fR25uLgwNDTF+/HjY2Njg8OHD8PLywvHjx7Fs2TLo6+vj5s2baGlpwenTp7F48WIkJiaiU6dOEAgEOHDgAPT09DBo0CDk5eXBy8sLFRUVyM7OhkKhgKGhIa5cuQI7OztMnjwZu3fv/l3vGR4ejvv37+Pw4cMAAHNzcwQHB0NHRwc7duz4K6v4pcPBxxhj/69Pnz44evQoSkpKkJiYiIqKCkyaNAndu3cHABw8eBCBgYGYP38+RowYAQcHBxw5cgS2trYYM2YMgoKCUFFRgatXr+K7776DSCTCwIED4ejoiDNnzuCtt97ClStXEBkZiebmZpSUlICIsGjRIjQ0NCApKQlCoRD37t3D6dOnMWrUKBARxo4di8WLF+Pw4cPo1KkTRCIRioqKYG5ujuTkZHz22We/+W4ikQhJSUnYvHkz7t27BwAYM2YMZDIZjh49irt37/6ldfsy4RPYGWPsMZRKJQ4fPowPPvgAFy9eBAB07twZ77//Purq6rB27VoUFxdj4MCBiI6Oxs6dO5GZmQlTU1PExsZi1KhROHDgAKKjo1FeXg5nZ2fs2LEDnTt3xs2bNxEXF4eTJ08CeNgCa2howNixY3H9+nWcPn0aAoEAr7/+Oqqrq1FQUAAXFxd8+eWX2LRpE9avXw9tbW2IRCI8ePAAERERmDt37m++U1ZWFs6cOYOPPvoIQqEQe/bswc6dO+Hl5YX33nvvL63PlwW3+Bhj7DGEQiH69++PU6dOoaioCDExMSgqKlJ1eXp7e2PNmjW4f/8+Bg8ejCtXrmDlypUYOnQo5s+fD29vb5SWlqK4uBjp6emoqKhA165d4ePjA7FYjK+//hrbt2+HhYUFysrK0NDQgIyMDBQVFSEqKgqampq4ceMGfv75Z/Tr1w/Xrl2Dh4cH3N3dsWzZMshkMigUCohEImzevBnTpk2DUql84jsNGzYMQqEQWVlZAIA333wTGhoa+P7773H79u3nUKsvHgcfY4z9Dqampli2bBnKy8uxe/duWFtbY+XKlQgJCUFJSQlSU1NhZ2eHadOmISsrCwkJCZgyZQrWrFmDLl26oLS0FEVFRVi+fDlu3LgBe3t79OnTBz4+Prhy5QpSUlIgEAhw//593Lt3D2vXrkXPnj3RrVs3NDY24n//93/RvXt3CIVChIeH47vvvkNWVhYEAgHU1NTQ0tKCgwcPYty4cWhpaXnsewgEAiQkJOCLL77A7du3oa6ujoiICKipqWHbtm3PsUZfHO7qZIyxp1RaWooPPvgAu3btQl1dHUxMTBAZGQl9fX3s2LEDDQ0NCA0NhZ2dHTZt2oSKigqMHj0aSUlJSEtLw5IlSyCTyRAUFISMjAw0NjYiISEB+/fvh1KphKGhITQ0NBAcHIxvvvkGMpkMEokEurq6uHbtGpydnZGeno6EhATcvn0bMpkMOjo6sLe3xxdffAGJRPLYsmdnZ+PLL7/EsmXLIBKJEBcXh+vXr2PlypVwdHR8jrX4/HGLjzHGnpKFhQXWrFmDqqoqbN26FcbGxvj4448xd+5cGBgYICYmBhcuXMCHH34IBwcHJCcn4+zZs/Dw8EBVVRWuXbuG+Ph4fP/99zA1NUV8fDw2bNiAQ4cOqcb2KisrsWfPHtjZ2cHDwwO1tbUoLS2Fh4cHCgoK8MYbb2DatGno168fhEIhamtrcePGDQQFBaGqquqxZX/jjTdgZmaG7du3QyAQICoqCkSEf/3rX8+xBl8MDj7GGPuThEIhwsLCcPnyZVy/fh1hYWE4d+4ckpOTcfXqVdXszIULF0IgEOCdd97BrVu30KNHD9TU1ODChQt466238NVXX8HIyAgbN27EqVOn8Omnn0IikeDBgwe4dOkSLl26hICAAGhpaam2QxOLxZgwYQLU1NSQkJAAoVCI+vp6lJaWIjAwEMXFxY8ss0AgwPTp05GdnY2rV6+iS5cu6NGjB06fPo2rV68+5xp8vjj4GGPsGbK2tkZ6ejpqamqwfv16aGlp4dNPP8WePXvg4uICBwcHbNy4ESUlJRg9ejTq6+sRFBSEX375BceOHUNISAg2b94MIyMjFBQUID8/H1OmTEFTUxOqq6tx7Ngx6Ovro3PnzqiurkZLSwusrKywadMmpKenY/HixdDQ0IBMJkNVVRWCgoJw5cqVR5ZVX18f06ZNQ2pqKmQyGSZPngwA2LBhA17lUTAOPsYY+wsIhUJMnDgR+fn5uHbtGgYNGoQTJ05g3bp1aGpqgpubG3JycpCbm4ugoCCIxWKEhYWhrq4OWVlZ6NOnD1JTU2FlZQVzc3PV5Ja6ujrcvHkTly9fhpubGzQ1NVFRUQELCwsUFhYiNjYWycnJMDMzQ3NzM3755RcMGTIEJ06ceGQ5u3fvDjc3N6xfvx7W1tZ48803ce7cOVy6dOk519jzw5NbGGPsOVEqlVi3bh2WLFmCO3fuQFNTE97e3lBXV8dPP/2Ebt26QSKR4OzZs7CxscGUKVOwdu1anDx5Enp6eliwYAEsLS0RFxeHsrIyaGhoQE9PD2ZmZrhx4waEQiGEQiHq6uoQFhaGyspKnDt3DkQEdXV1pKWlYfjw4W3K1dDQgNjYWERHR8Pe3h5hYWFwcnJCWloaBALBC6ipv5bavHnz5r3oQjDGWHsgEAjg5eWF+Ph4hIWFoaCgACdOnMCNGzdgZGQEXV1dXLp0CRYWFjA2NsbOnTuhrq6Od999F3fv3sWmTZuQnZ2Njz/+GJ06dcKZM2fw4MED/PLLL7CxsYFMJoNcLoeenh5yc3MBAMHBwcjPz0djYyO++eYbGBkZoVu3bq3KJRaLYW9vj+XLl2Pw4MGQSCTYv38/unTpAktLyxdRVX8pbvExxtgL1NLSglWrViE1NRWlpaWQSCR4/fXXUV9fDwCwsbFRrbd78803kZWVhfz8fJibm2PJkiXIyMjAoUOHQESQSCTo2LEj7t69CzU1NcjlcojFYoSHhyMrKwsymQzq6up47733kJKS0qYsGzduRHl5Od59912MGDECHTp0QHp6+ivX6uPgY4yxl8RPP/2EhIQEnDhxAs3NzbC0tIShoSFqamoglUpRXV2N5uZm9O3bF4cOHcLt27chlUoxY8YMLFu2DDdv3oRIJIKxsTFkMhkaGxshFArR2NiIvn374urVq6ipqYFYLEZERAQ++eQTCIX/nurR1NSExMREhIaGQi6XY+7cufjkk0/g5+f3Amvl2ePgY4yxl0xjYyOWLl2Kzz77DBUVFZBIJDA3N0d9fT06duwIuVwOmUwGT09PnDp1CmVlZXj99dcxfPhwrFq1CnV1dVBXV4eRkRGqq6shEAjQ1NQES0tLSCQSFBUVQSgUIiQkBFu2bGkVfoWFhZgzZw6WLl2K2NhYKJVK7Nq1q9XP/N1x8DHG2Evs3LlzSEhIQG5uLpRKJYyNjSESiaCjowM1NTXU1tbCxcUFFy9eRHV1NVxdXWFnZ6fa/UVLSwtEhObmZigUCojFYri4uCAvLw8A4Ovri71790JTU1P1zN27d+PixYt48803ERMTg48//hiBgYEvqgqeOQ4+xhj7G2hsbMS8efOwadMmVFVVQVtbWxV+EokE9fX1sLKyQn5+Purq6uDu7g65XI68vDwIBAJoa2tDJpOBiKBQKODk5ISioiIolUq4urriyJEjMDAwAPBw9mlKSgp69eqF/fv3o6SkBPv374dIJHrBtfBscPAxxtjfzIkTJ5CYmIhLly6BiKCrqwuhUAhdXV3IZDKYmJjg9u3bkMvl6NSpE4qLi/Hzzz9DTU0NIpEILS0tUCgUMDAwQFNTE5qamiCVSnHs2DFYWFgAAMrKypCcnIypU6di+vTpiIyMRE5ODvz9/REfH/+Ca+DP4eBjjLG/qbq6OsyaNQvbt29HTU0NNDU1IRKJoKuri8bGRujq6uLevXtQKBSwsbFBUVERWlpaIBaLoVAooFQqIRKJoKmpiYaGBpiamiI7OxsuLi4AgG+//RY7d+7E119/jYqKCojFYowYMQIZGRkv+M3/nFdntJIxxtoZHR0drFixAlVVVfj222/h6OiIhoYGlJeXQyaT4cGDB9DS0oKRkRGKi4shEAhgYmKiavH9epxRbW0ttLS0UF5ejp49e+Ls2bMAgMrKSmzZsgUVFRUAoJok83fHLT7GGHuFPHjwAImJiaqjkkQikerXr7u6CIVCqKmpQSaTQSgUgohARKqWoLq6Ojp16oQLFy5AIpGgsbERSqUSAoEAgwYNwv79+1/0a/4pHHyMMfaKysrKwv/8z/+goKAAwMP9Q9XV1aFUKiGXy1XjfU86tV1dXR0WFhYoLi6GUqmEi4vLw/WAshoU/lyIhuYGiIViGEuMYW9o/7dY7M7Bxxhjr7jq6mpMnz4de/fuRUNDAwQCAUQikWqZg1AofGL4paSkYOfOnVAoFejSrwvcx7rj0K1DEAoethYFEEBJSljpW2GS+yS8YfcGJOLHH4L7onHwMcZYO7J161bMnTsXhYWFAKBqoT0p+IyNjXHx6kXMPjobeQ/yIIAARhIjiIT/Xt5ARKhtqkVDcwO0xdpYGrwUXhZef+3LPCUOPsYYa4fKysoQHR2NgwcPQi6XP/mH1QGXf7hAx0oHptqmv9mdWddUh/qmeiwNWgp/qf8zLPWzwbM6GWOsHTI3N8dXX32FhoYGrF69Gubm5o/+QQGAYCDvXh5KC0pbXaq6WoVrO6+1+YqOug50NXTxjyP/QH5V/l9Q+j+HW3yMMcZQVlamWrzeiiWAQQDqHv7R0NAQPXv2hFDtt9tNVQ1V8LHwwacDP32mZf2zuMXHGGMMFy5cgKamJrS0tKCvr6/aDk3oLgT+Y/ivpqYG2dnZaG5q/s17GmkZ4XTJaZTVlv2FJf/juMXHGGMMwMMJKv85fldWW4ZBWwahuqQaJTdKoLymBH75/4umgLuvO2qv16LT2E4AAFmVDMXfFaO+vB4CoQAdPTtC6CpEZNdIxHjHvIA3erRXY8dRxhhjf9p/T1rJr8qHuro63Dq7QXBeAKWjEuWScjTJm4A64NIPl2DUZAQAUDQpkL8zH2beZnAMdQQpCbIqGUhMOHnnJAcfY4yxl19dUx2UpER9WT2a65rhMdEDAqEA9fX1OHPmDGS3ZKi+X43Lly/DQmQBsbYY5t7/niSjY6EDWbMMD+QPXuBbtMVjfIwxxh5JJBRBAAGaapugoa8BgfBhi1BbWxv9+vWDT3cfqInU4ODggKbaJmgaaLa5B4EgFoqfd9GfiIOPMcbYIxloGkAoEEJdVx1ND5pAytZTQoRCIWykNtDS0oK6rjoaf25scw95ixwdtDs8ryL/Lhx8jDHGHqmbeTdoqGlA1EEEsbYYd47fgaJJAWWLErV3a1v9rIG9AZrrm3Hv3D0oW5RQNClQV1qHJkUThjsPf0Fv8Gg8q5Mxxthjrc5djU0/bIKh0hDF2cWqwDN2MYZ2R21U/FihmtXZUNmA4u+K0VDeAIFIAOOuxjDoZoCDEw5CU9S2G/RF4eBjjDH2WHcf3EVoZigMtAygrqb+u79HRCirK0NE1whM95n+F5bwj+OuTsYYY49lqWeJpF5JqGqoQrPitxetAw9Dr6K+As7GzojoGvEXl/CP4+BjjDH2RKM6jcI072mobKhErbwWT+oobFY0417dPdgZ2mHFwBXQVtd+jiX9fbirkzHG2O+SfSsbK86uQFldGYQCIfQ09CASiqAkJRpbGlHfXA+xUIyQ10MQ6xP7UoYewMHHGGPsDyAi/HDvB2RcycCle5dQ21QLDTUNdNTpiFGdRiHYPhi6GrovuphPxMHHGGOsXeExPsYYY+0KBx9jjLF2hYOPMcZYu8LBxxhjrF3h4GOMMdaucPAxxhhrVzj4GGOMtSscfIwxxtoVDj7GGGPtCgcfY4yxdoWDjzHGWLvCwccYY6xd4eBjjDHWrnDwMcYYa1c4+BhjjLUrHHyMMcbaFQ4+xhhj7QoHH2OMsXaFg48xxli7wsHHGGOsXeHgY4wx1q5w8DHGGGtX/g9j+KEdYjiMAAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[{'N': 5, 'T': range(0, 100), 'M': [{}]}]\n"
-     ]
-    }
-   ],
-   "source": [
-    "import math\n",
-    "import pandas as pd\n",
-    "from tabulate import tabulate\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "import numpy as np\n",
-    "\n",
-    "from model.parts.supportingFunctions import *\n",
-    "\n",
-    "pd.options.display.float_format = '{:.2f}'.format\n",
-    "\n",
-    "%matplotlib inline\n",
-    "from tabulate import tabulate\n",
-    "from typing import Dict, List\n",
-    "\n",
-    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
-    "import ipywidgets as widgets\n",
-    "from IPython.display import clear_output\n",
-    "\n",
-    "# The following imports NEED to be in the exact order\n",
-    "from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
-    "from model import economyconfig\n",
-    "from cadCAD import configs\n",
-    "\n",
-    "exec_mode = ExecutionMode()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "                            __________   ____ \n",
-      "          ________ __ _____/ ____/   |  / __ \\\n",
-      "         / ___/ __` / __  / /   / /| | / / / /\n",
-      "        / /__/ /_/ / /_/ / /___/ ___ |/ /_/ / \n",
-      "        \\___/\\__,_/\\__,_/\\____/_/  |_/_____/  \n",
-      "        by BlockScience\n",
-      "        \n",
-      "Execution Mode: single_proc: [<cadCAD.configuration.Configuration object at 0x7f78b7d16c90>]\n",
-      "Configurations: [<cadCAD.configuration.Configuration object at 0x7f78b7d16c90>]\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/utils/__init__.py:113: FutureWarning: The use of a dictionary to describe Partial State Update Blocks will be deprecated. Use a list instead.\n",
-      "  FutureWarning)\n"
-     ]
-    }
-   ],
-   "source": [
-    "single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)\n",
-    "run1 = Executor(exec_context=single_proc_ctx, configs=[configs[0]])\n",
-    "run1_raw_result, raw_tensor_field = run1.execute()\n",
-    "df = pd.DataFrame(run1_raw_result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set subsetep to last\n",
-    "df = df[df['substep'] == df['substep'].max()]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>network</th>\n",
-       "      <th>KPIDemand</th>\n",
-       "      <th>KPISpend</th>\n",
-       "      <th>KPISpendOverDemand</th>\n",
-       "      <th>VelocityOfMoney</th>\n",
-       "      <th>startingBalance</th>\n",
-       "      <th>30_day_spend</th>\n",
-       "      <th>withdraw</th>\n",
-       "      <th>outboundAgents</th>\n",
-       "      <th>inboundAgents</th>\n",
-       "      <th>operatorFiatBalance</th>\n",
-       "      <th>operatorCICBalance</th>\n",
-       "      <th>fundsInProcess</th>\n",
-       "      <th>totalDistributedToAgents</th>\n",
-       "      <th>totalMinted</th>\n",
-       "      <th>totalBurned</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>timestep</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 26...</td>\n",
-       "      <td>{'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 94...</td>\n",
-       "      <td>{'a': 1.0, 'b': 1.0, 'c': 1.0, 'd': 0, 'e': 0....</td>\n",
-       "      <td>22.59</td>\n",
-       "      <td>{'a': 400, 'b': 400, 'c': 400, 'd': 400, 'e': ...</td>\n",
-       "      <td>{}</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[c, a, m, j, e, l, g, b, i, g, o, e, j, m]</td>\n",
-       "      <td>[k, g, a, l, i, a, external, k, d, external, m...</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 1.0, 'd': 1.0, 'e': 0, '...</td>\n",
-       "      <td>16.89</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'a': 143, 'b': 187, 'c': 462, 'e': 94, 'g': 2...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[k, k, h, h, d, k, c, m, i, h, g, k, m, o]</td>\n",
-       "      <td>[external, g, g, b, p, m, g, d, i, p, b, g, e, d]</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 310, 'e': 0, 'f'...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 93.25, 'e': 0, '...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0.30080645161290...</td>\n",
-       "      <td>15.11</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'d': 363, 'h': 321, 'k': 561, 'a': 143, 'b': ...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[external, f, o, d, m, p, g, h, e, p, g, o, h,...</td>\n",
-       "      <td>[k, o, e, m, external, i, d, h, k, external, e...</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 383, 'b': 0, 'c': 984, 'd': 365, 'e': 54...</td>\n",
-       "      <td>{'a': 383, 'b': 0, 'c': 135.625, 'd': 164.625,...</td>\n",
-       "      <td>{'a': 1.0, 'b': 0, 'c': 0.13783028455284552, '...</td>\n",
-       "      <td>18.27</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'f': 333, 'p': 225.5, 'external': 280, 'd': 4...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[p, a, f, external, d, e, c, c, g, e, i, c, h, i]</td>\n",
-       "      <td>[f, o, c, p, h, f, m, external, m, external, b...</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'f': 349.5, 'p': 338.25, 'external': 546, 'd'...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[g, d, i, d, l, k, b, e, c, j, external, k, m, l]</td>\n",
-       "      <td>[p, d, j, external, p, c, j, g, g, f, d, b, j, a]</td>\n",
-       "      <td>4500</td>\n",
-       "      <td>200000.00</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                              network  \\\n",
-       "8   (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "16  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "24  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "32  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "40  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "\n",
-       "                                            KPIDemand  \\\n",
-       "8   {'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 26...   \n",
-       "16  {'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...   \n",
-       "24  {'a': 0, 'b': 0, 'c': 0, 'd': 310, 'e': 0, 'f'...   \n",
-       "32  {'a': 383, 'b': 0, 'c': 984, 'd': 365, 'e': 54...   \n",
-       "40  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...   \n",
-       "\n",
-       "                                             KPISpend  \\\n",
-       "8   {'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 94...   \n",
-       "16  {'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...   \n",
-       "24  {'a': 0, 'b': 0, 'c': 0, 'd': 93.25, 'e': 0, '...   \n",
-       "32  {'a': 383, 'b': 0, 'c': 135.625, 'd': 164.625,...   \n",
-       "40  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...   \n",
-       "\n",
-       "                                   KPISpendOverDemand  VelocityOfMoney  \\\n",
-       "8   {'a': 1.0, 'b': 1.0, 'c': 1.0, 'd': 0, 'e': 0....            22.59   \n",
-       "16  {'a': 0, 'b': 0, 'c': 1.0, 'd': 1.0, 'e': 0, '...            16.89   \n",
-       "24  {'a': 0, 'b': 0, 'c': 0, 'd': 0.30080645161290...            15.11   \n",
-       "32  {'a': 1.0, 'b': 0, 'c': 0.13783028455284552, '...            18.27   \n",
-       "40  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...             0.75   \n",
-       "\n",
-       "                                      startingBalance  \\\n",
-       "8   {'a': 400, 'b': 400, 'c': 400, 'd': 400, 'e': ...   \n",
-       "16  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "24  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "32  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "40  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "\n",
-       "                                         30_day_spend withdraw  \\\n",
-       "8                                                  {}        0   \n",
-       "16  {'a': 143, 'b': 187, 'c': 462, 'e': 94, 'g': 2...        0   \n",
-       "24  {'d': 363, 'h': 321, 'k': 561, 'a': 143, 'b': ...        0   \n",
-       "32  {'f': 333, 'p': 225.5, 'external': 280, 'd': 4...        0   \n",
-       "40  {'f': 349.5, 'p': 338.25, 'external': 546, 'd'...        0   \n",
-       "\n",
-       "                                       outboundAgents  \\\n",
-       "8          [c, a, m, j, e, l, g, b, i, g, o, e, j, m]   \n",
-       "16         [k, k, h, h, d, k, c, m, i, h, g, k, m, o]   \n",
-       "24  [external, f, o, d, m, p, g, h, e, p, g, o, h,...   \n",
-       "32  [p, a, f, external, d, e, c, c, g, e, i, c, h, i]   \n",
-       "40  [g, d, i, d, l, k, b, e, c, j, external, k, m, l]   \n",
-       "\n",
-       "                                        inboundAgents  operatorFiatBalance  \\\n",
-       "8   [k, g, a, l, i, a, external, k, d, external, m...                 4500   \n",
-       "16  [external, g, g, b, p, m, g, d, i, p, b, g, e, d]                 4500   \n",
-       "24  [k, o, e, m, external, i, d, h, k, external, e...                 4500   \n",
-       "32  [f, o, c, p, h, f, m, external, m, external, b...                 4500   \n",
-       "40  [p, d, j, external, p, c, j, g, g, f, d, b, j, a]                 4500   \n",
-       "\n",
-       "    operatorCICBalance                                     fundsInProcess  \\\n",
-       "8            200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "16           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "24           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "32           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "40           200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "\n",
-       "    totalDistributedToAgents  totalMinted  totalBurned  run  substep  timestep  \n",
-       "8                          0            0            0    1        8         1  \n",
-       "16                         0            0            0    1        8         2  \n",
-       "24                         0            0            0    1        8         3  \n",
-       "32                         0            0            0    1        8         4  \n",
-       "40                         0            0            0    1        8         5  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.reset_index(inplace=True)\n",
-    "del df['index']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agents'] = df.network.apply(lambda g: np.array([get_nodes_by_type(g,'Agent')][0]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agent_tokens'] = df.network.apply(lambda g: np.array([g.nodes[j]['tokens'] for j in get_nodes_by_type(g,'Agent')]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agent_native_currency'] = df.network.apply(lambda g: np.array([g.nodes[j]['native_currency'] for j in get_nodes_by_type(g,'Agent')]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>network</th>\n",
-       "      <th>KPIDemand</th>\n",
-       "      <th>KPISpend</th>\n",
-       "      <th>KPISpendOverDemand</th>\n",
-       "      <th>VelocityOfMoney</th>\n",
-       "      <th>startingBalance</th>\n",
-       "      <th>30_day_spend</th>\n",
-       "      <th>withdraw</th>\n",
-       "      <th>outboundAgents</th>\n",
-       "      <th>inboundAgents</th>\n",
-       "      <th>...</th>\n",
-       "      <th>fundsInProcess</th>\n",
-       "      <th>totalDistributedToAgents</th>\n",
-       "      <th>totalMinted</th>\n",
-       "      <th>totalBurned</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>timestep</th>\n",
-       "      <th>agents</th>\n",
-       "      <th>agent_tokens</th>\n",
-       "      <th>agent_native_currency</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>495</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 90, 'b': 369, 'c': 23, 'd': 0, 'e': 73, ...</td>\n",
-       "      <td>{'a': 0, 'b': 369, 'c': 2173.134679223996, 'd'...</td>\n",
-       "      <td>{'a': 0.0, 'b': 1.0, 'c': 94.48411648799983, '...</td>\n",
-       "      <td>39.50</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 177, 'c': 0, 'd': 380.3278659415...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[c, i, m, i, b, c, i, l, external, e, a, a, i, i]</td>\n",
-       "      <td>[j, external, l, l, h, m, o, o, a, o, h, h, i, i]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>96</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1927.5761232713448, -2581.075082991195...</td>\n",
-       "      <td>[-1654.70852899975, 2248.5549359185716, 651.94...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>496</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 307, 'c': 316, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 0, 'b': 307, 'c': 651.9404037671989, 'd'...</td>\n",
-       "      <td>{'a': 0, 'b': 1.0, 'c': 2.063102543567085, 'd'...</td>\n",
-       "      <td>19.00</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 546, 'c': 2173.134679223996, 'd'...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[l, c, l, j, b, h, b, e, c, d, c, p, i, external]</td>\n",
-       "      <td>[k, j, e, d, k, g, b, e, p, g, m, m, k, j]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>97</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1774.0761232713448, -2907.045284874794...</td>\n",
-       "      <td>[-1654.70852899975, 2095.0549359185716, 325.97...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>497</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 35, 'b': 305, 'c': 293, 'd': 0, 'e': 0, ...</td>\n",
-       "      <td>{'a': 0, 'b': 305, 'c': 325.97020188359943, 'd...</td>\n",
-       "      <td>{'a': 0.0, 'b': 1.0, 'c': 1.1125262862921481, ...</td>\n",
-       "      <td>24.16</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 853, 'c': 2825.075082991195, 'd'...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[m, b, j, m, a, external, f, c, external, m, k...</td>\n",
-       "      <td>[g, i, m, k, e, h, l, l, i, m, a, d, i, b]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>98</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1621.5761232713448, -3070.030385816594...</td>\n",
-       "      <td>[-1654.70852899975, 1942.5549359185716, 162.98...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>498</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 233, 'c': 0, 'd': 461, 'e': 201,...</td>\n",
-       "      <td>{'a': 0, 'b': 233, 'c': 0, 'd': 369.1639329707...</td>\n",
-       "      <td>{'a': 0, 'b': 1.0, 'c': 0, 'd': 0.800789442452...</td>\n",
-       "      <td>27.93</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 1158, 'c': 3151.0452848747946, '...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[h, h, i, m, h, m, h, j, i, e, b, g, d, f]</td>\n",
-       "      <td>[j, e, c, j, m, f, j, i, k, d, f, f, b, m]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>99</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1689.6580897567273, -2990.030385816594...</td>\n",
-       "      <td>[-1654.70852899975, 2010.636902403954, 242.985...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>499</th>\n",
-       "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 254, 'd': 285, 'e': 290,...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 242.98510094179971, 'd':...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0.9566342556763768, 'd':...</td>\n",
-       "      <td>25.28</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 1391, 'c': 3151.0452848747946, '...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>[e, m, g, k, f, i, c, h, o, o, k, d, g, external]</td>\n",
-       "      <td>[d, a, o, g, p, d, j, c, l, l, m, m, l, a]</td>\n",
-       "      <td>...</td>\n",
-       "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>100</td>\n",
-       "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[927.339751973192, 1689.6580897567273, -3029.0...</td>\n",
-       "      <td>[-1430.3687770265578, 2010.636902403954, 203.9...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 22 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                               network  \\\n",
-       "495  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "496  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "497  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "498  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "499  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
-       "\n",
-       "                                             KPIDemand  \\\n",
-       "495  {'a': 90, 'b': 369, 'c': 23, 'd': 0, 'e': 73, ...   \n",
-       "496  {'a': 0, 'b': 307, 'c': 316, 'd': 0, 'e': 0, '...   \n",
-       "497  {'a': 35, 'b': 305, 'c': 293, 'd': 0, 'e': 0, ...   \n",
-       "498  {'a': 0, 'b': 233, 'c': 0, 'd': 461, 'e': 201,...   \n",
-       "499  {'a': 0, 'b': 0, 'c': 254, 'd': 285, 'e': 290,...   \n",
-       "\n",
-       "                                              KPISpend  \\\n",
-       "495  {'a': 0, 'b': 369, 'c': 2173.134679223996, 'd'...   \n",
-       "496  {'a': 0, 'b': 307, 'c': 651.9404037671989, 'd'...   \n",
-       "497  {'a': 0, 'b': 305, 'c': 325.97020188359943, 'd...   \n",
-       "498  {'a': 0, 'b': 233, 'c': 0, 'd': 369.1639329707...   \n",
-       "499  {'a': 0, 'b': 0, 'c': 242.98510094179971, 'd':...   \n",
-       "\n",
-       "                                    KPISpendOverDemand  VelocityOfMoney  \\\n",
-       "495  {'a': 0.0, 'b': 1.0, 'c': 94.48411648799983, '...            39.50   \n",
-       "496  {'a': 0, 'b': 1.0, 'c': 2.063102543567085, 'd'...            19.00   \n",
-       "497  {'a': 0.0, 'b': 1.0, 'c': 1.1125262862921481, ...            24.16   \n",
-       "498  {'a': 0, 'b': 1.0, 'c': 0, 'd': 0.800789442452...            27.93   \n",
-       "499  {'a': 0, 'b': 0, 'c': 0.9566342556763768, 'd':...            25.28   \n",
-       "\n",
-       "                                       startingBalance  \\\n",
-       "495  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "496  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "497  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "498  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "499  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "\n",
-       "                                          30_day_spend withdraw  \\\n",
-       "495  {'a': 0, 'b': 177, 'c': 0, 'd': 380.3278659415...        0   \n",
-       "496  {'a': 0, 'b': 546, 'c': 2173.134679223996, 'd'...        0   \n",
-       "497  {'a': 0, 'b': 853, 'c': 2825.075082991195, 'd'...        0   \n",
-       "498  {'a': 0, 'b': 1158, 'c': 3151.0452848747946, '...        0   \n",
-       "499  {'a': 0, 'b': 1391, 'c': 3151.0452848747946, '...        0   \n",
-       "\n",
-       "                                        outboundAgents  \\\n",
-       "495  [c, i, m, i, b, c, i, l, external, e, a, a, i, i]   \n",
-       "496  [l, c, l, j, b, h, b, e, c, d, c, p, i, external]   \n",
-       "497  [m, b, j, m, a, external, f, c, external, m, k...   \n",
-       "498         [h, h, i, m, h, m, h, j, i, e, b, g, d, f]   \n",
-       "499  [e, m, g, k, f, i, c, h, o, o, k, d, g, external]   \n",
-       "\n",
-       "                                         inboundAgents  ...  \\\n",
-       "495  [j, external, l, l, h, m, o, o, a, o, h, h, i, i]  ...   \n",
-       "496         [k, j, e, d, k, g, b, e, p, g, m, m, k, j]  ...   \n",
-       "497         [g, i, m, k, e, h, l, l, i, m, a, d, i, b]  ...   \n",
-       "498         [j, e, c, j, m, f, j, i, k, d, f, f, b, m]  ...   \n",
-       "499         [d, a, o, g, p, d, j, c, l, l, m, m, l, a]  ...   \n",
-       "\n",
-       "                                        fundsInProcess  \\\n",
-       "495  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "496  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "497  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "498  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "499  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
-       "\n",
-       "     totalDistributedToAgents totalMinted  totalBurned  run  substep  \\\n",
-       "495                      1500           0            0    5        8   \n",
-       "496                      1500           0            0    5        8   \n",
-       "497                      1500           0            0    5        8   \n",
-       "498                      1500           0            0    5        8   \n",
-       "499                      1500           0            0    5        8   \n",
-       "\n",
-       "     timestep                                         agents  \\\n",
-       "495        96  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "496        97  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "497        98  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "498        99  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "499       100  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
-       "\n",
-       "                                          agent_tokens  \\\n",
-       "495  [703.0, 1927.5761232713448, -2581.075082991195...   \n",
-       "496  [703.0, 1774.0761232713448, -2907.045284874794...   \n",
-       "497  [703.0, 1621.5761232713448, -3070.030385816594...   \n",
-       "498  [703.0, 1689.6580897567273, -2990.030385816594...   \n",
-       "499  [927.339751973192, 1689.6580897567273, -3029.0...   \n",
-       "\n",
-       "                                 agent_native_currency  \n",
-       "495  [-1654.70852899975, 2248.5549359185716, 651.94...  \n",
-       "496  [-1654.70852899975, 2095.0549359185716, 325.97...  \n",
-       "497  [-1654.70852899975, 1942.5549359185716, 162.98...  \n",
-       "498  [-1654.70852899975, 2010.636902403954, 242.985...  \n",
-       "499  [-1430.3687770265578, 2010.636902403954, 203.9...  \n",
-       "\n",
-       "[5 rows x 22 columns]"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.tail()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create dataframe variables   \n",
-    "tokens = []\n",
-    "for i in df.index:\n",
-    "     tokens.append(sum(df['agent_tokens'][i]))\n",
-    "        \n",
-    "df['AggregatedAgentCICHolding'] = tokens  \n",
-    "\n",
-    "currency = []\n",
-    "for i in df.index:\n",
-    "     currency.append(sum(df['agent_native_currency'][i]))\n",
-    "        \n",
-    "df['AggregatedAgentCurrencyHolding'] = currency  \n",
-    "\n",
-    "AggregatedSpend = []\n",
-    "for i in df.index:\n",
-    "     AggregatedSpend.append(sum(df['KPISpend'][i].values()))\n",
-    "\n",
-    "df['AggregatedAgentSpend'] = AggregatedSpend   \n",
-    "\n",
-    "AggregatedDemand = []\n",
-    "for i in df.index:\n",
-    "     AggregatedDemand.append(sum(df['KPIDemand'][i].values()))\n",
-    "        \n",
-    "df['AggregatedAgentDemand'] = AggregatedDemand  \n",
-    "\n",
-    "\n",
-    "AggregatedKPISpendOverDemand = []\n",
-    "for i in df.index:\n",
-    "     AggregatedKPISpendOverDemand.append(sum(df['KPISpendOverDemand'][i].values()))\n",
-    "        \n",
-    "df['AggregatedKPISpendOverDemand'] = AggregatedKPISpendOverDemand  \n",
-    "\n",
-    "\n",
-    "AggregatedGapOfDemandMinusSpend = []\n",
-    "for i in df.index:\n",
-    "     AggregatedGapOfDemandMinusSpend.append(sum(df['KPIDemand'][i].values())- sum(df['KPISpend'][i].values()))\n",
-    "        \n",
-    "df['AggregatedGapOfDemandMinusSpend'] = AggregatedGapOfDemandMinusSpend  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['KPISpend'][1]['external']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "subset = df[['timestep', 'VelocityOfMoney', 'operatorFiatBalance',\n",
-    "       'operatorCICBalance', 'totalDistributedToAgents', 'totalMinted',\n",
-    "       'totalBurned', 'run', 'substep', 'AggregatedAgentCICHolding',\n",
-    "       'AggregatedAgentCurrencyHolding', 'AggregatedAgentSpend',\n",
-    "       'AggregatedAgentDemand', 'AggregatedKPISpendOverDemand',\n",
-    "       'AggregatedGapOfDemandMinusSpend']]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mean_df,median_df,std_df,min_df = aggregate_runs(subset,'timestep')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>timestep</th>\n",
-       "      <th>VelocityOfMoney</th>\n",
-       "      <th>operatorFiatBalance</th>\n",
-       "      <th>operatorCICBalance</th>\n",
-       "      <th>totalDistributedToAgents</th>\n",
-       "      <th>totalMinted</th>\n",
-       "      <th>totalBurned</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>AggregatedAgentCICHolding</th>\n",
-       "      <th>AggregatedAgentCurrencyHolding</th>\n",
-       "      <th>AggregatedAgentSpend</th>\n",
-       "      <th>AggregatedAgentDemand</th>\n",
-       "      <th>AggregatedKPISpendOverDemand</th>\n",
-       "      <th>AggregatedGapOfDemandMinusSpend</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>96</td>\n",
-       "      <td>21.41</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-251.65</td>\n",
-       "      <td>16153.53</td>\n",
-       "      <td>3180.47</td>\n",
-       "      <td>2237.60</td>\n",
-       "      <td>56.60</td>\n",
-       "      <td>-942.87</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>97</td>\n",
-       "      <td>14.46</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-265.55</td>\n",
-       "      <td>16139.63</td>\n",
-       "      <td>2263.33</td>\n",
-       "      <td>1913.20</td>\n",
-       "      <td>8.07</td>\n",
-       "      <td>-350.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>97</th>\n",
-       "      <td>98</td>\n",
-       "      <td>17.58</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-46.55</td>\n",
-       "      <td>16358.63</td>\n",
-       "      <td>2864.87</td>\n",
-       "      <td>2800.60</td>\n",
-       "      <td>8.79</td>\n",
-       "      <td>-64.27</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>99</td>\n",
-       "      <td>11.75</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-77.95</td>\n",
-       "      <td>16327.23</td>\n",
-       "      <td>1780.46</td>\n",
-       "      <td>2094.80</td>\n",
-       "      <td>5.57</td>\n",
-       "      <td>314.34</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>99</th>\n",
-       "      <td>100</td>\n",
-       "      <td>14.91</td>\n",
-       "      <td>16500.00</td>\n",
-       "      <td>198500.00</td>\n",
-       "      <td>1500.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>8.00</td>\n",
-       "      <td>-53.25</td>\n",
-       "      <td>16351.93</td>\n",
-       "      <td>2328.69</td>\n",
-       "      <td>1862.80</td>\n",
-       "      <td>18.12</td>\n",
-       "      <td>-465.89</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    timestep  VelocityOfMoney  operatorFiatBalance  operatorCICBalance  \\\n",
-       "95        96            21.41             16500.00           198500.00   \n",
-       "96        97            14.46             16500.00           198500.00   \n",
-       "97        98            17.58             16500.00           198500.00   \n",
-       "98        99            11.75             16500.00           198500.00   \n",
-       "99       100            14.91             16500.00           198500.00   \n",
-       "\n",
-       "    totalDistributedToAgents  totalMinted  totalBurned  run  substep  \\\n",
-       "95                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "96                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "97                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "98                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "99                   1500.00         0.00         0.00 3.00     8.00   \n",
-       "\n",
-       "    AggregatedAgentCICHolding  AggregatedAgentCurrencyHolding  \\\n",
-       "95                    -251.65                        16153.53   \n",
-       "96                    -265.55                        16139.63   \n",
-       "97                     -46.55                        16358.63   \n",
-       "98                     -77.95                        16327.23   \n",
-       "99                     -53.25                        16351.93   \n",
-       "\n",
-       "    AggregatedAgentSpend  AggregatedAgentDemand  AggregatedKPISpendOverDemand  \\\n",
-       "95               3180.47                2237.60                         56.60   \n",
-       "96               2263.33                1913.20                          8.07   \n",
-       "97               2864.87                2800.60                          8.79   \n",
-       "98               1780.46                2094.80                          5.57   \n",
-       "99               2328.69                1862.80                         18.12   \n",
-       "\n",
-       "    AggregatedGapOfDemandMinusSpend  \n",
-       "95                          -942.87  \n",
-       "96                          -350.13  \n",
-       "97                           -64.27  \n",
-       "98                           314.34  \n",
-       "99                          -465.89  "
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mean_df.tail()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot of agent activity per timestep\n",
-    "plot_median_with_quantiles_annotation(subset,'timestep','timestep','AggregatedAgentSpend')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles_annotation(subset,'timestep','timestep','VelocityOfMoney')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','operatorCICBalance')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','operatorFiatBalance')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','totalMinted')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','totalBurned')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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2rIGtIYQQ0ghaNtRISKuRTqezfzPPixBCFicUXoTUCbvjRQghZPFB4UVInbAKr2g0mueAEUIIWRxQeBFSJ6zCS0qJhYWFBraGEEJII6DwIqRO2EufsKwEIYQsPii8CKkTduHFPC9CCFl8UHgRUifswisajTaoJYQQQhoFhRchdcKeTG+aJvO8CCFkkUHhRUidcJreiuFGQghZXFB4EVInKLwIIYRQeBFSJyi8CCGEUHgRUiechFcqlYJpmg1oDSGEkEZA4UVInXASXgAovAghZBFB4UVInXCbIojCixBCFg8UXoTUCTfHyzCMOreEEEJIo6DwIqROMNRICCGEwouQOkHhRQghhMKLkDpB4UUIIYTCi5A6QeFFCCGEwouQOsHkekIIIRRehNQJlpMghBBC4UVInWCokRBCCIUXIXWCwosQQkio0Q0gZLHgJLyeeGIp0ukunHVWAxpECCGk7tRUeAkhDgGYB2ACMKSU24QQywHcCWATgEMA3i6lnK5lOwhpBuzCK5EQ+MhHTodpAu99L9DV1aCGEUIIqRv1CDW+Rkp5oZRyW+b/jwN4REp5JoBHMv8T0vbYhdcLL/QgkQjAMAKYmmpQowghhNSVRuR4vRnArZm/bwVwVQPaQEjdsQuv3/2uN/s3hRchhCwOhFvCb1VWLsRBANMAJICvSSlvEULMSCn7M+8LANP6f9tnbwRwIwAMDg5efMcdd1StXZFIBEuWLKna+kj1aOdjE4vF8sTXF75wIX7xi7UAgC996Tls3TrbqKYVpZ2PS6vDY9Oc8Lg0J/U6Lq95zWuesUT68qh1cv3vSymPCSFWA3hICLHH+qaUUgohHJWflPIWALcAwLZt2+TQ0FDVGjU8PIxqro9Uj3Y+Ns8++2ye8Nq7d2X277Vrz8fQULgRzfJFOx+XVofHpjnhcWlOmuG41DTUKKU8lvk9BuBuAC8HMCqEOAUAMr/HatkGQpoFq+gaGwtjdLQj+//kpHNxVUIIIe1FzYSXEKJXCNGn/wbwhwB2ALgXwPWZxa4HcE+t2kBIs2AP6e/Y0Zv3/9RU7UL+hBBCmodahhoHAdyt0rgQAvBdKeVPhBBPAfi+EOI9AA4DeHsN20BIU+CWWN/ZmUYiEcDkZCNaRQghpN7UTHhJKQ8A2Orw+iSA19Zqu4Q0I26O18teNofHH+/nqEZCCFkkcMogQuqAVXgZBrBrlxJer3zlHACWkyCEkMUChRchdcAqvPbtU4VTN26MY+PGBABgZqZRLSOEEFJPKLwIqQPpdG7Uos7vOv/8KJYuNQAA09O8FAkhZDHAuz0hdcDqeGnhdcEFUSxbpoTXzIxoSLsIIYTUFwovQuqAVXjpxPoLLoigr88EAMzM8FIkhJDFQK0r1xNCkBNeMzNBHD3ahc7ONM44IwYhACEk5ueDME0gGGxwQwkhhNQUPmYTUge08NJu13nnRREKKaGVc70a1jxCCCF1gsKLkDqghdf27Wpy1vPPj2bf0wn2LClBCCHtD4UXIXVAj2rM5XdZhZdyvCi8CCGk/aHwIqQOSClhmsDOnblSEppcSYmGNI0QQmqGYRiNbkLTQeFFSB2QUuLgwS5Eo0GsWZPAqlWp7Hva8ZqYSLt9nBBCWpJkMtnoJjQdFF6E1AEppWOYEUC2lheFFyGk3aDwKoTCi5A6IKXMJtbbhZd2vCYnKbwIIe1FIpFodBOaDgovQuqAl+PV16ccr8nJujeLEEJqCh2vQii8CKkD8/PAwYNdCIXSOOushbz3li1TjheT6wkh7QaFVyEUXoTUgakpCSkFli830Nkp895jHS9CSLtC4VUIhRchdUCnOXR0FOZx0fEihLQjUkqkUqniCy4yKLwIqQPxuPrd0ZHvdoVCIfT3q9emp0W9m0WIL+hakHIwDAOmaTa6GU0HhRchdUA7XuFwvvAKh8NZx2t2lpcjaU4WFhaKL0SIDcMwsrN2kBy80xNSB7Tw6uzMvwmFw+Gs4zUzE4CU9k8S0ljS6TRLApCy0FXrKb7yofAipA7oUKOT49XVBXR1mUilBKJRhw8T0kAMw6DwImVB4eUMhRchdcAtuT4cDiMQCHCibNK0mKZJ4UXKgsLLGQovQupAPK6cLntyfUdHB4QQnCibNC2maTK5npQFhZczFF6E1IHcqEY6XqS1oONFykULL45szIfCi5A6kEyqUhFOOV5CiOxE2RRepNkwDIP1mEhZ0PFyhsKLkDrgNaoxEAigr4+OF2lOtFtB14uUihbrFF75UHgRUge8RjVaHa+JCd6gSHNB4UXKhY6XMxRehNQBHWq05niFQiEIIWw5XizkRZoLLbyYYE9KhcLLGQovQupArpxETliFw2EAyBvVODlJ4UWaC9150vEipULh5QyFFyF1wKmOlxZegUDAklxP4UWaCzpepBxM04TMTMVB4ZUPhRchdSCRKBzVaHW8mFxPmhXmeJFy0G4XwHISdii8CKkDOsfLOqrRKry04zUzI+rfOEI8sDpekpOJEp9YhRcdr3wovAipA9oscHK8rMn109MUXqS5sHagDDcSv1B4uUPhRUgdyI1qzAmvjo4OALBNGUThRZoLa5iI4UbiFwovdyi8CKkDOsfLLbm+tzeNYFAiGg2ApgJpJqzCi44X8QuFlzsUXoTUgZzwck6uFwLo6+NE2aS5sCdF0/EifqHwcofCi5A6kJur0dnxAmDJ86pz4whxgcKLlAtHNbpD4UVIHciNalSOl65aDyD7mxNlk2bD2nkCDDUS/9DxcofCi5A6kKvjlc78Dmff044Xa3mRZoOOFykXCi93KLwIqQOpVH6Ol1V40fEizYpdeBmGwU6U+ILCyx0KL0LqgH2SbCfHizlepNlwys2h60X8kEqlsn9TeOVD4UVIHUgk1KXm5XjpWl50vEizYM/xAii8SHGklHmincIrn5oLLyFEUAjxnBDi/sz/m4UQvxFC7BdC3CmE6Kh1GwhpJFJKS6jR3fHSocbJSd6kSHPg5HgxwZ4Uwy7YKbzyqYfj9ZcAdlv+/wcAX5RSngFgGsB76tAGQhpGOp22lJNQjpeuWg/kHC+dXD85yfnwSHPAUCMpByenlOIrR02FlxBiPYD/BuDfM/8LAJcB+GFmkVsBXFXLNhDSaKSUSCbVpaYnyfZyvBhqJM0ChRcpByfhxVpeOWrteH0JwEcBaKm7AsCMlFIflREA62rcBkIaihJe+Y6Xc44Xy0mQ5sKpA2WokRSDjpc3oVqtWAjxJgBjUspnhBBDZXz+RgA3AsDg4CCGh4er1rZIJFLV9ZHq0Y7HxjQlDOM1AICpqZMIBID5+fns+1JKxGIxpFK9AF6CEycSGB5+skGtdaYdj0u7UMtjk0gkCpwKIQTGxsZqsr12YjFfM4ZhFAj0ubm57ENmI2mG41Iz4QXgVQCuFEJcAaALwFIAXwbQL4QIZVyv9QCOOX1YSnkLgFsAYNu2bXJoaKhqDRseHkY110eqRzsem5kZFZoJh9M45ZRBhEIhbN26Nfu+YRh4/vnnEQ6ryzEW62q6fdCOx6VdqOWx2bVrF2KxWMHrW7duRShUy+6j9VnM18yJEydw/PjxvNde8pKXoLe3t0EtytEMx6VmoUYp5f+WUq6XUm4CcA2An0kp3wngUQBXZxa7HsA9tWoDIc1APK4T6gvDjEBhOYmZGQG68qQZcMvLYZ4X8YKhRm8aUcfrYwA+JITYD5Xz9Y0GtIGQuqGFl9N0QUAuuT4UAnp7TaTTApZIJCENw6kDBSi8iDcUXt7UxSuWUg4DGM78fQDAy+uxXUKagVhMCS89Qbab4wUo1ysaDWJqCli2rH5tJMSOlNK1s2SCPfGCoxq9YeV6QmpMMccL4ETZpPnw6ijpeBEv6Hh5Q+FFSI3RfZRbjhfAibJJ80HhRcqFwssbCi9CakwuuT6d+V04SxYnyibNhpfwYqiReEHh5Q2FFyE1Jh5Xv/04XpwomzQLbon1gBJeUnJqK1JIOp12FFkUXjkovAipMToq41S1XsPq9aTZ8HK81MTvqTq2hrQKboKdwisHhRchNUaHGp3madTkQo10vEhzUGwUGsONxAkKr+JQeBFSY3SoMRyWCIVCjtNm2JPrmeNFGk0x4cXyAMQJNyeU50sOCi9CakwikUuud3K7gMLk+slJ5s+QxuKV4wXQwSDO0PEqDoUXITXGWk7CTXjZk+spvEijKeZQsCMlTlB4FYfCi5AakxvV6N/xGhvzdhsIqTUUXqQcKLyKQ+FFSI2xjmr063hNTwNHjhypS/sIcYLCi5QDhVdxKLwIqTGJhBJVnZ3FHa9ly1RnNzcXwvj4OE6cOFGfRhJigzlepBwovIpD4UVIjcnN1Vjc8erqSiMcTiORCCAeFzh+/DgmJibq1lZCNHS8SDm4CS+OasxB4UVIjdGOV0dH2nG6ICDneAmRy/Oanw8BUCHHmZmZOrSUkBwUXqQc6HgVh8KLkBpTyqhGAFi+XNXBGRtTy0opcfDgQcRisdo2lBALFF6kHCi8ikPhRUiNyQmv4jleALBpkxoGefBgV/a1dDqNSCRSu0YSYkFKWbSjZEdK7EgpXYWXlJLze2ag8CKkxuhQY1eXcKxaD+Q7XqedpoVXt209iRq1kJB8iiXWAxReix2n40+X1B8UXoTUGD2lXWen+zJW4bV5swopHjjQlbcMhRepF34SodmJLm6OHDmCuC5SmIEjYf1B4UVIjYnHdTkJ92WsoUbteB04QMeLNAYKL1KMRCKBvXv35k2WTuHlDwovQmqMvi91dTmHGYF8x2vDhgSCQYnjxzuyog2g8CL1g8KLFMMwDKRSKezduzc7MTaFlz8ovAipMbkcL/dlrI5XOCxx6qlxSClw6FB+gr316ZKQWsEcL1IMLc6186WFmJ/PLHYovAipMbnK9e7L2JPuN29muJE0DjpepBjWcyQej2Pfvn1FHwx5zigovAipMX5CjVbHCwBOO00l2FtLSgAUXqQ+UHgRL5zKjSwsLGB0dNTzczxnFBRehNSYZLJ4qJGOF2kmKLyIF27nR7E6XTxnFBRehNQYax0vN6rpeLHCPakU5ngRL/ycH06Ues606zlG4UVIjdGOVyk5Xhs3qpGNIyOdWeEG+BNe8/Pz5TWUkAx+k6DbtWMk3pSbJF/q+WIYRlsm5FN4EVJjtPDq7vbveHV0SKxfn0A6LXD4cM71Kia8pJSIRqMVtJYQCi/iTbliqNTPmaZJ4UUIKR0/oUanqYR0uNFawd40Tc8h2/F4vC1vVKS+UHgRL+rleJmmWXZYs5mh8CKkxuSS6/07XkAuwb6UORsXFhYovEjF+O3sKLwWJ/UUXu14P6PwIqTG+Ak1+nW8AG/hFYvF2BmSiqHjRbyoV3J9uzpeoUY3gJB2Jp0GDEM933R1uT/nODle5czZSMeLVAMKL+JFPR2vdoSOFyE1RGukcDiNYND9cnNyvDZujCMQUCMbtWum1knHi9SOdDpdtB6TdVmy+OCoxsqg8CKkhmiN1NEhHV0tjZPw6uqSWLcuAdMUOHIkV4vCTXglk8m2vVGR+lHK+UPhtThhcn1lUHgRUkPiKlqIjo60p/Bye88p3BjXK7WxsLAAgJ0hqYxSOjqea4sTlpOoDAovQmpIJY4X4FzB3u0p0Fqxvh1vVqQ+1MrxklJifn4eIyMjOHbsWDlNI00Ck+srg8n1hNSQeFwCEOjoSLuKK00gECi4MXnN2RgK5V++2vEC1A0uGAxW0HKyWKm28IpEIhgbG8Pc3Fx23b29vWW3jzSeeoYa/eYbthJ0vAipIbGYummEw96OF+BdUsLPnI10vEg1qLbwmpmZwfT0dN56k8lkWW0jzQFzvCqjqPASQjzi5zVCSCHK8Sqe4wU453lt2hSHEBKHD3chlXIf2WiaJhKJBBYWArj//uWYmmLuDSmPaud4OXXSqVSK+WEtDAuoVoZrTyCE6BJCLAewUggxIIRYnvnZBGBdvRpISCuTE17lOV5dXRJr1yZhmgJHj7qPbNRu1733rsBnPrMZX/0qw4ykPKrteLktQ9erNZFSli2a6XgpvHqC9wJ4BsBLMr/1zz0AvlL7phHS+vgd1Qh4jWwsrGBvF146v2t8vAMAcOJEWc0lpOrCy219FF6tSSVCSEpZUs6WaZol1b3EeeUAACAASURBVJVrFVx7Ainll6WUmwF8WEp5mpRyc+Znq5SSwosQH1TqeAHOczbaS0poxysaVduYnS2vvYRQeBEv9PGMxcpLEfd7flmdtXZzvYruOSnlzUKI3xNCvEMI8S79U4/GEdLqWIVXsVGNxUpKWB0ve6FU7XhFoyrEODfnvS1C3PDTye3Z043bb18Nwyg/1Og1AwNpXkzTxH/8xxpcdtlWPPvskpI/7zfcaL2/tVuel5/k+u8A+H8Afh/AyzI/22rcLkLaglyosbhVXkoRVSDXcUkpLY6XFl5lNZcQX53cTTetxxe/uAHPPRcue310vFoT0zSxc2cvUqkA/v3fTyn58+UIr3ZzvPzU8doG4FxZYpBVCNEF4OcAOjPb+aGU8tNCiM0A7gCwAipn7DopJa9A0pZYHa9iuDlemzYp4XX4cCcMA9DluxKJBHp6ehCPx7M5EHS8SKX4EV4zM+oknJ4uHm5icn17YZomFhbUfebJJ5fihRe6cfbZsSKfyuFXeFnF1qJzvADsALCmjHUnAFwmpdwK4EIAbxBCXALgHwB8UUp5BoBpAO8pY92EtAQ6mtLVVb7j1dOTximnJGAYAYyMFI5stNbv0jle8/MUXqQ8/HRyCwvqPItGy18fQ42tiWEYWeEFALfdNljS5+l4+RNeKwHsEkL8VAhxr/4p9iGpiGT+DWd+JIDLAPww8/qtAK4qo92EtAS5UGPxZb1ywDZuVJ2Uk/CyVqzXjheFFykXP52c7ngtp54jXqUHUqlU241WWwwoxysnHR58cDlOniwectYwx8tfqPEz5a5cCBGECieeAeBfALwIYEZKqa/sEbAmGGlj9EN9Z6f3coC74wUAS5eqSyYSyT1pOgkv3SHOzwcgJVAkn5+QAvx0jDnHy/sEK7auZDKJTj8XB2karKHGLVsi2L59Ce68czX+8i/9zb9Jx8uH8JJSPlbuyqWUJoALhRD9AO6GqgnmCyHEjQBuBIDBwUEMDw+X24wCIpFIVddHqke7HZsDBzYCOA3x+AyGh3/nuWwymXS9wQSDqwAsx4kTCxgdHQUAjI2N4fjx44jFYlnnIBJRHaJpCvz0pz9HV1d1qoO323FpJ6p5bKwDNdwwTSAeVx3vyZPzntsutr7Z2dmiZVZalXa9ZpLJJKLRIQDA1VfvwvbtL8ddd63AlVduR09PcYE0MzPjax5ZwzCyeYCTk5PYu3dvRe3WNMNxKSq8hBDzUCFCAOiAChlGpZRL/W5ESjkjhHgUwCsB9AshQhnXaz0AR5kspbwFwC0AsG3bNjk0NOR3c0UZHh5GNddHqke7HZv77lOxxsHBZRgaOt1z2SNHjmB8fNzxvVWrVKxSiH4MDuZyY84//3zs2LEDAGAYQCKRu6Ft3XopTil90JEj7XZc2gk/x2Z0dBSDg8VzcRYWFrB7927PZbS4B4BQaBmGhs52XTYej2Pnzp2u75966qlYuXJl0Xa1Iu16zbz44gHEYiq0+PrXh/CjH83j2Wf78MtfnoNrrx0r+vmNGzdi1apVRZc7fvw4TmQqQS9fvhybN2+urOEZmuG4+Knj1SelXJoRWt0A/hjAvxb7nBBiVcbpghCiG8DrAewG8CiAqzOLXQ9VCZ+QtkTneHV2Fo/5eeV49fYq213ncGmmp6ezf9vfY0kJAiiH4uTJk76XLYY1sXphwfu8Lpabw5GNrUc8noZpCoRCaYTDEtddpxz4O+5YDT8RQYYa/SXXZ8kkzP8IwOU+Fj8FwKNCiO0AngLwkJTyfgAfA/AhIcR+qJIS3yixzYS0DLlRjcWX9Qq5LFmibkLWHC/AW3ixej0BlNtlL7jrhj/hlTtPY7GAZ4I8hVf7MTenjndvrxJQr3rVLE49NY6TJzvx8MMDRT/P5Hp/oca3Wv4NQNX1irssnkVKuR3ARQ6vHwDw8hLaSEjLUkpyvZfj5Sa88hPr84UbHS9iGAYmJiYAKJHT3d3tuXwqlSq6TqvjFYsFkE6nXXN2inWyLCnReszPK+HV3a3uSYEAcO21o/j850/FbbcN4vLLpz0H9dDx8ud4/ZHl53IA8wDeXMtGEdIuVGtUo5vwsmJ/rxGOl5+Om9SPsbGxbEfn59iU6njF4wHPjpSOVz7tcH1o4dXTkzvuV1wxiYGBFPbs6cUzz3hPI0THy9+oxnfXoyGEtCOlhBr9OF72cKKVUkON8XgcXX4aVgLxeBzhsP+aPqR2mKaJsbFcsrMfkVNqjpd2vNwo1snqWl7F5jFtB1KpFAzDaPnrY35e/e7pyYmhzk6Jt799HF/72lrcdtsgtm2LuHzav4ha1JXrhRDrhRB3CyHGMj93CSHW16NxhLQ6OeFVWXK9H8erUHh5d3rWMhTVgqGj5mF8fDyvw/IjqvyFGq05XsGKHC8pZVu4QH5IJBK+3Z5mJZ1OZ2u3WR0vAHjb28bQ2ZnG44/348AB9we6chwvKWVbiS8/ocZvArgXwNrMz32Z1wghRYjH1U2qHqHGwhGP3qLKMIyqdnpSykUXOmpW0ul0tt6bphGOl5/OcrGI9UQi0fLiwVo81ep4AUB/v4krr1T5hF7TCJUjvID2yvPyI7xWSSm/KaU0Mj/fAlC8CAchBLof6+6uh+MVyKxHCS49+sgNa4HCauB35Fyr0Mo3+omJiYL2FxPZhmH4ckBLyfHy08kuFrEej8db3vGyThfU3V34Xd7xjjEIIfFf/7UcExPOmUzlCq92urf4EV6TQohrhRDBzM+1ACZr3TBC2oFEQokpP6FGP45XNBqEW9+oHa/ly1WHOzPjvT3TNKsuvFpZrNiZ18ksLYaUssDtAooLHL/nQrUdr8UivNoh1GiaJmIx7XgVfpcNGxJ4zWtmkEoFcOedqx3X4WcfOJ037XRv8SO8bgDwdgAnAZyAKn7KhHtCfFCtHK9QCOjsVIULYzHny1YLr8FB1ZHR8aqMSMQ9QbiZmZmZcTyuxY6137Cz9fyrNLkeYKixlTAMI+us20ONGl1Q9Yc/XFVQ4gYoX3i1+r6z4qdy/WEp5ZVSylVSytVSyquklEfq0ThCWp1ksjqOF1A83GgXXsVGNdLxckc92XvPWdisuAmZdDrt2Xn5PResuYSVJteXst1WZzE4XgBwwQVRbN0awfx8CPfcUzgdFB0vf6MaNwsh/lkI8Z9CiHv1Tz0aR0iro/vASnO8AD/CS13Oq1cr52J21nt91Xa8TNNsm6fSWCzWsjd6r3Z7HW+/54LV8TJNgXicwqsY2g1u9evDmuPl5ngBwHXXqSmqvvvdwmmE/OyDdne8itbxAvAjqGl97gPQ2nKdkDqjc7y6u4tH9f06Xm61vHTujXa8iqUoVbsjaKdQY6OFVyU11rxChl7V6/2GGu3nXyTiHtJmcr1Cu5Dt4HgtLCjZ4OZ4AcCll85i48Y4jhzpwiOPDODyy3NTm9Hx8pfjFZdS3iSlfFRK+Zj+qXnLCGkDdKix0imDgOKOl3599Wqd41Vfx6udQo2xWKxhIjKZTOZNBVUq9XS8AG/h5WcfLoYyJO0lvIo7XnoaIQD4zncG8wYEUXj5E15fFkJ8WgjxSiHES/VPzVtGSBughVdPT/Ucr2I5XmvWaMfLW3hpx6taAkOXI2j1zgVQwiudTjfku0QikYo6GS/nqtz3rNgdr2jUfVm/+2+xCK9Wd4QNw7DU8fI+tl7TCBU7L9o91OhHeF0A4M8BfAHAP2V+/l8tG0VIu1BKqLFaOV4rV6YghEQ0GoDbvcoqKqrV6Wmx0A43yHg8DqAxT9nz8/MV7cN6OV7hsLIxKnW8Stl2q9JOjpc+/nqSbDe6uiSuvnocAPDQQ8vz3itHeLWT4+Unx+ttAE6TUrb3lUFIlUmnAcPQoxord7x6e/05XkuWmOjpSSMaDWJ+HujvL1zWPpWMW95PKViFVyvPR6fn1AMaIyIjkQiWLl1a9ufLEV6mafoWBdrxWL1a4tgx4ep4pdNp31NStXtJiXYSXvo+09tb/LuceaYaGTw+nn8/KLYfnM7hdnig0/hxvHYAcLh1E0K80H1JR0cawWBtHS8pcx1ib286u6xbSQnrja3ajlerP5lay0jU+7sYhoF4PF52J1Os+rzbsS7lHNA5Pqsz9TG9hJdfFovj1erioRTHCwCWL1fh66mpfI+Hjldx+gHsEUI8BUA/lkgp5Ztr1yxCWp9MtArhsCzqZgGV5XglEgKmKdDZmUY4LLPu2Nyc87qsN7ZquQ3tEmpspPDS1fLL3W6xPC239/0KH6vAHxxUAs9NeJVyHrSz8Eqn09n93g6OlxbefhyvFSvUeTw1VZrj1e45Xn6E16ctfwsArwZwTW2aQ0j7YHW8hHCfY1FTieOlX9OCq96Ol5Qye2Ns9RtkI4WXrpZfiePlRTqdhmEYCIXyb/2pVApSAp/4xGYAwN///UHHzyeTSuCHwxIDA+p8pePljfXBptWvDWtyfSmO1+RkGFIC+hZXbD84va/zUv08xDY7firXPwZgDsCbAHwLwGUA/q22zSKk9dH3285Of3kufoWXTqK3ksu78Ce87DlelWJdX6uHBHRiPVD/jrLWjhfgfLyTySQSCYGHHlqOhx5anh0UYkeHmfr6gN5e9drCgvOydLwUVuHV6o5XKmUNNRb/Lj09aXR2ppFIBPKmDyrH8fJ6vdVwFV5CiLMyZST2ALgZwBEAQkr5GinlzXVrISEtijXU6Bc/E2U7OV5aeOkh3sVCjdV2vKzra/WbY6McL+s0RbVyvABncZZMJvPOq/l57wEcvb3AkiXejlcp38Eajms32kV4pdNpxGICUgp0dZkIFjfxIQSwYoXO88qFG8sVXq3+UKfxcrz2QLlbb5JS/n5GbLX2HZWQOpILNfoXXl6ul5fwyuVdlO54qTCT/zY60S7Cyz6fXj1v9POWqQbq7XilUinMzeXCj/PzzlkoVsdLCy83x6tUkdGurle7CK/84qn+v0cu3Jg7p+h4ufNWACcAPCqE+LoQ4rVQOV6EEB+UGmoEyne83HK8/DheQOWdnnV9rfxUap8Yu543ep3fBaDsQrSVhBqtLtfcnLfjVe1QI9C+JSXs36tVxYMSXtpZ9/8dli8vTLCn4+WClPJHUsprALwEwKMA/ieA1UKIrwoh/rBeDSSkVdGhxlKEl5fj5VXHy1rDy7qsH8cLqK7watWOBSgUXo1yvMrdtp/PuDleVuHlFmrMOV6iqPCi46WwC69Wdb1UYn3pjlcu1OjP8fJ66Gjle4sVP8n1USnld6WUfwRgPYDnAHys5i0jpMUpJ9To1/GyRwbdk+udt11Lx6uaN8eo13w0NcCaWA/UT3hZ87usr5WKH8fLvoyeNsoaXnQLNeYEfs7xisWq43i1o/BymoeyVcWDOkf1iMZSQo3qGpqczDleXvvA6722d7yckFJOSylvkVK+tlYNIqRdyIUa/X/Gy/Hq7JQIh9MwjEDBqLPC5Hr1e2bGWXjV0vGq5s1xfHy8auvyQ6Mcr2g0WpBnVy/HSwsxa3jRLdToPKrRuRuh8FLfyX5cW9XxUlXr83NJ/ZArouov1FiuKGslWr8gBiFNSjmhxnKLqJaaXN8KjpeUEtPT01XvqBYWFly3Z3e86nWjt4cZy912OTle+n8/oUZnxyvgeIxKPW7tmOPl9J387JdmHOFZruNVaqiRjhchpGyq7XgB7sLLnlyfKydRP8drz55ufOtbg0gkqiNW5ufnkU6nq+6EjIyMON744/F4gTthLQxbS6yJ9ZpSOxnTNH2NTpVSOpYT8RNqdHK84nFn4UXHy1l4+dkvzShCrY5XOcn11lBjLRwvp2uoWaHwqiPtYpMSf9RSeGnnQWNPri/ueJm47bbV2LGjB0B1hNdXvrIOX/nKejz9dE/F5SkAYGZmpiptsxOPxzE6Our4uhO1vm7T6bRjLlup2y3FJbHuU/25UkY1Wh2vagmvdqzlVa7j1Ywi1DCMrONVSnL9mjXqnubX8fJ64HB7LxaLuTrZzQiFVx2Zcxvb30S0i5XbDORCjf4/U26oMZdcn85bbm6uUMiZpont23vwpS9twN/+7SYA1RFeY2MdAFS9nmqIldmMaqx2J2SaJkZHRwvOdXt+l6bW14RTflc52y1lees+LSXU6OR4VSvUCDSn01MJ5QqvZtwP+XW8/F/fGzao+4I1x6vayfXz8/NNKVbdoPCqI3Nzc1VxAmpJKz01NDvxuDrW1SonAXgJr/wcL6/K9aZp4vhxdTM8cKAb4+Ph7Bx+5WIYBqanQ5ltVi68YrFY9kZazRuqnu/NNE2cPHmyYJtO1Fp4OeV3AY11vEob1VgdxwtoLsFRjYeHckKNTz0FfOQjS1zd6kaRX8fLv6geHOxCOJzGwkIQ8bi6v3kd53JEWSQS8X3uNMPgBgqvOrKwsND0qrzew/fbGS28urr81x2u1PHST6J6ufn5wm0bhoHx8Y7s/08/3QegfIGjhsybmJnRwitYsViZtfQ61Qw/Wds1Pj6et+5qCq9EIuH7IcstN6WWjpf1ezvneJXieAVdHa99+7rxwQ+egf37u3y1q5nuj9XIGSrH8friF4Hbb+/DffdVvPmqYnW8/EyQrenp6S7I87LPEGHfjhtu53gkEvF97jSD+UHhVSeklIjFYk2fw0DHq3rkHC//nynmeLkVUbXneHV0SIRCaSSTAvbUJdM0MTaWs/2feqoy4WWaJmZnQ5BStb0ajpdVeFWzM7a2K51O4/jx49m/3Z6Yy/ku8XjcV8ftlt9VznbLdbycQo1uOV7a8fCb4/XTnw7giSeW4cc/XuGrXc3keLmFgP3iVgi02HGdnFTbnJgoe9M1QRVQzU9p8EN3d7fjfI1uDzqlOl6JRAKpVMrXuZNOpym8FhOxWAxSyqYXXvF4nIMAqkQjc7yEcJ82yDAMTEzkboCVOl7WMCOgOvBKziHDMPLESDWFl/2JeXJyEolEwjWx3ukzflBT8DiHEK1EIhHXJ/965HjpsCvgL9SoHY++PqC7GxBCIpEIIJVyFhh6/scTJzoK3neimYSX387cDbcOvpjjpYseT02VvemaUK7jFQ6HsWKFWt46X2M5wgsoPM/1daYLAXvRLOcXhVed0E5SM1npdqSUSCQSFF5VQl/j3d3+Q43VyvFSf6sbvD1XRDleuY7w+PFOjIx0VE14zc6GKgo12nMha+V4AeqcP3bsmGsnAJQfavQjvLyWqYfjlRNguXNKCIloNAinr211vIQAurvVcYpEnEONWsydOOHv6aOZ7o9OswmUQrnCSz8oTU+XvemaoPaHvs/4c7xCoRCEEFi1Si1fqePl9L7VWS4mrCi8moxaO1FaeDWz46WrLFN4VYd6OV6GAcTjQQgh8wobupWUUDle6gZ45pnqvHz66b6yb0qGYeTdUCt1vHQZCY3VlakUJxE1PT2NyclJ18+Us+1kMoloNOqjk3Uf6VyPHC/9OxoNQkqBJUvSWLpUi6nCcKPV8QKAnh69bL7IsLtoJ0/6c7ycKr03ikqFV7nzDerrdWqqvP0Qj8cxNzeHSCSChYWFvIEqlWBNrvfreIXD6r6werUWXtV3vFpReDn7yYuQeDyePUlqQSs4XjrcQuFVHRKJ0pPry6njZR1pZP2428hGwzCzwuuNb5zCvn09eOqppXjHOwprW/lBCa98x6vcc0hK6ShGkskkuru7y1qnFbd2eTlP5YYapZSIRCJYunSp63q9cipr6XjptAd9P9I5XcuWpREKCczOqnBjf39+G6yOF5ATXvY0NS06dKhxcjKMeFygq6u4mEgmk+gs5WmlRqi6VfV3vPSAGJXr5f/eEYlEcPLkybz8SE04HMaWLVt8r8uOzo0qdZLsnPBS+8JaRLUajpc9HFysf20W4UXHK0MlF1gxdGI90NyOlz4pKbyqQzmhxnIcL30z1O/Zl7Xfh8fH00ilAujrM/DqV6s3leNVfqhRj2gElMtRbqgxEok4nn/VemCp1fyHdnIJ6+6Czk8ospRtl9rOZDJZUEpi2TKJ/n71vlOCfamOl/U89et6NUvnaJqmZ+5fMcpxvEwzJ7z85njNzs7ihRdewAsvvOAouoDKS6LoNuce8kpzvHJFVHPCyzAMx/6wFMfLPoCl2LnTLMYHhVeGWgqveDyevQibWXjR8aou+pSqheNl7dDs0wXZl7UbSCdOqG2sWpXCpk1xrFyZxORkGHv3hsqqcWMPNVYyqtGt46jWDbOcdpXaaVkH0XiJKz8Flf22t5xwrNXx0ufQsmUSAwNKRNlLSpimCmkDQI+a8CD72y68co5X8wkvv8fTNM2SyoLYKcfxsuoIPzle4+Pj2L9/f9ERtJWmkOh9Vq7jNTio/rc644Bzv1vs+Fi/h/36apVQI4VXhloKL2s4oZmFFx2v6lLOlEHlOF65EY35x03/b9cyx46p36tWpSAE8LKXqZvXU0/1lSVw7Mn1iUQA0Wh5RQrdhFe1rptynvwrmXNwYWHBtaOtpuNVriuXCzWq49ffL9HfLzLts3eS2lmV0Kdpb69zqFHNG5m/juPH/V0IflyLXbt2YWxsrKzv7XcGET33ZTl9QyqVKkt4WU9/P8KrlOuiEtdLXwO5KYPMovcqICe8TjlFLWsNNar1Fe7bYg9/Xo5XsfvX9u0BPPbYauzd67lYzaHwyuBVx6dSrEPjK60QXkvoeFWXWoxq1KOJrDlebsLLzfE6eVItv3q1uklt26YEwNNPlye8TNPMc7yA4onBTp2SV1mHVnK8rPcRnefltIyf+43f9pYjTJ1DjcDy5boeW77jZc/vAnKOl5PwiscDMM3c+ey3pESxY60Txo8ePYrt27fj4MGDmJqah59dlUqlfAkp64Tj5YQbvcSd1zHNF14CxQxo+7k5OxvEe95zNn70o8K6aZUKL8NQD1WBgERnp0SPPvgeaOG1dq06d4o5Xn4metf7z2nwg9c1lUwm8dOfDuBzn9uCu+4q2vSawuR6C7FYrCZJnfYE2lQqhVCouXZ9Op3O3vAovKqDvgfUOtRor+GlcXO8Tp5Uz1srV6pOVztezzzTh1hsBvZccD9PoNrxCgYlTFMUfVo/duwYRkdHEQwGEQwGEQgEPG+4jczx0p/ze83a2zo/P1+QYO/H7dLbreZyVqyOlxZeAwNAb6/Ie01jz+8CckVUnZLr7cKtWqFG6/1USonJySlcc80KjIyksW9fAF56YGFhwde+st4Dy3G8vI6v1/Vk1WvptMD8vBLDbti/y69+tRTPP78EyaTAVVflj9StxDVWIifndgkB9Pb2Fg1xauG1alUIoVAakUgIiYTITqPmJLyKob+z07Z1mN9poFwikciekzqPsVHQ8bJQi3Cjk1XdLAl+Vqw3Owqv6pBzvPxfZsXs+66uNIJBXbRSdZC6hpc94dXN8Rod1Y6XuhGvXZvEunUJzM+H8Oyz+eInkUhgz549nqLIKrzWr1dfenraW0Baw9rJZBLxeLzo02o1KFd4lXJNOAkvO6WEu/xQTqeaSCSy+0OHBAcGco6XPdTo5Hi5CS/TNAuEW7VCjfYH2eeeW4Inn1yK48cD2LfPe90LCwu+9mmjhJf9IanYA4z9uB89qqZmOnKkC/ZLttK5WHP3GdX+Xn3wPdACqKMjnJ02yJqWYHcT7cfm2WeXYMeOHsdl3Pax2/mTSCSyD6wDA0WbXlMovCzUQnhZE+s1zZjnZb0AKLyqQy1CjdaK9PomYp8uSOM0qlFKidFRdeNbtSonEF72MiUEHnss11nOzs5i9+7diMVinp1FLGZifj6EYFBahJfn1yg5rF+ta6bcc7ucqvAap86+GRwv6/1OOwEDA8J1VGPO8cqdo145Xlq4rVmjzh2/jlexCuR24XXnnauzf2dmgHIlGo3W3PFKJBKeDwpuUwkBhQ9JxUY22r/L0aNK3EajwYKwXqWhRu14dXenIYQoKdQYCoUK5msEClN88vd7AB/4wJm48cazMTqaPxoScJ9L023fK8dL5zIWbXpNofCyUAvh5VSnpxmFFx2v6hOPqw6qmo4X4C683HK89BQkgDq2eoLsNWtyy+s8r1/+Ut24T5w4gf3792fPBS/hNT6ufvf3G1i2TN0Ui41sLNXBqkZuZCUju0rZdiKRwM9+1p99UrfnefkNdwG1dbysLmbOCRBZN6Aw1OjkeInMe/kPDNaq9eeck0YgIDE+Hs66tMVwE+apVCrvu548GcbwcK4XLSa8/Dpe1uOTTCZLGu3rR1S7rc/ueJUqvEZGcq7ikSNdnsuWgnW6oN5eE6FQCB0dHZ4PijqFQLNypdq+PR/U2u9aj82xYx1IJAJIJgP45jfX5H2PdDrtWgPPy/GyhtQbSc2ElxBigxDiUSHELiHETiHEX2ZeXy6EeEgIsS/zu8G7IEclQ4fdcDo5mjHUWC3Ha2FhAdFoNJsA6+T4LRb0Ya5mjheQE1ja+nfP8SqcMshatf7UU8PZ7eUS7Luxe/eL2cmjNV7zCeon64GBVFZ4zc66V683DKPsavCVUMo29+/vwgc/eAb27u0u+bPHjqXxsY+dhr/4i7MwO6uOjbUz9htmBPx3lpU+zOkOacWKgEV42UONhTleWoTZb3NqnkYd0gZWrzaQTos858ILt2Ntv5/eddeqvAT+o0fd95cWbaU6XkBpD+V+jq9fx6uYc2z/LkeOdDr+7bRsKeRXrU9npwLyKjpuf2/lSvWdrfM1Au7Cyyoif/SjldnBGaZpek5g7kd4tbPjZQD4KynluQAuAfAXQohzAXwcwCNSyjMBPJL5vykod+iwF63meBmGqmxeDqZpYs+ePdizZw92796NXbt2YefOnZiYmKhmU1uGXHK9/8+U53gVztNoXc7qeMViagRiICCxdm0wO5hk5UoDp50WQzwewC9/WXiD9hJe09PqBrt8uYG+Pp1/4T5fY7kCqp7C6557VuKJJ5bhoYeUCvHbaam5HwWkFIhGg7j9dlXAqFzh5bfNlbqBOgRTuuOl3yt0vKz5NOvW8Qw9KQAAIABJREFUqe9RaYK99X6aSAjcffdKAMDllytr6PBh9/2gP1tr4eXH8XI7rqU4XoWTRQcxM5MTO7VyvHp6zKyo8hqMZhdeTvM1AsWFlxAShhHAN76xJruM1z72CjW2veMlpTwhpXw28/c8gN0A1gF4M4BbM4vdCuCqWrWhHCqpVOxEKzleMzNBvOENW/DZzw6WtQ775MaaqD0BZJGQTKrOqJSBsn4cL7dQo3tyfW6dx46p11asSKGjI5g3DY8e3fjEE0uxc2cP7rhjFT7xic1485vPx9/93UWOle2tifUDAwaWLtWhRnfHq9yyLZVeN6V0PPv2qf2i93EpztPUVE6w3HnnaszMBLMhrnQ6XdL1UC/HS3/PFSsCPnK8cq+5hRqV45UTcxs3qk7Xa7Lsxx9fipMnVafsR3g9+OByzMyEcfbZC3jta5U1NDLiHrHQn9XT33hh3+9++4VYLObrmBVzvDo7tUjx30arQwRU1/FS01vlpibTI3w7OtyFtF146WmDvEpK5IcaVfvf+tYJBAIS9923EiMjHZkRs+4PL07njmEYMIxc3mGjHa+61DQQQmwCcBGA3wAYlFKeyLx1EoBjLy+EuBHAjQAwODiI4eHhqrUnEokUrE+HxKampqo2Z6ObgyaEwNjYWFW2US0WFhbw/PPqRvbrX3eWtb+TyaTjxT0+Po7Dhw/7WofTsWlVFhZ+H0AATz75iwI3yg0/rmswuAZAP44di2J0dBTT0xsAAKnUJEZHx7PLRaMhABdgetrE8PDjAIDf/a4XwMswMLCAPXv2AMgJmjPPBIDV+OY3T8E3v3lK3jaPHVuD++77BVauzP8epmniyJG1AICurllIOQtgI8bGDDz55JMIBgunnTEMw5eIkhJ4+OH1OPPMGWzaFKn42tSVyP1sd+/eCwAAU1NJjI6OYnJyEnt9VF1Mp9M4fDhXQykaDeKWW5bg+uv3Ynh4GEKIkh7uxsfHceLECc9lIpEIYrFYVkxICfjQ73nMzJwHANi9+1cIh9MAXoXZ2QBGR3Pzd46PK8U1OXkIw8OHAADHj68CcB4mJ+N5120ikcDo6FmZdR9EV1cQwGbs25fKW6dm584BfPSjZ+IVrxjFpz71DCYmJnDgwIGC5fT3lBK47bYzAABvfOM+BIMRAKfj8OEkhod/4/gdE4lEtmPXx8INey7ZxMQE9u/f77q8xnpuG4bh+F0BNXDFyd1+4YWXAFiDVasWMDKyBM8/fwTDw4X7AVDnmvVc+t3v1DU7OBjH6GgXDh4M5m0/EAjg5MmTRb+DE/F4HKOj6zL/RbB//34cPny4YD9ZmZqayrvvm+YKACtw/LhZsF/GM4mi1vUdPKjua+eccxizswk8/PB63HzzAD70oe1F22uf9D6dTmN6OgXTFOjsNPDEE4/7+do1o+bCSwixBMBdAP6nlHLOerJLKaUQwvHRQ0p5C4BbAGDbtm1yaGioam0aHh6GfX27du1CLBbDsmXLcMYZZ1RlO1NTUzh48KDjey996Ut9uRvVIplMuj6dRKPRTCes/Nd4vKNg//hh+/btrhfh1q1bfdVBcjo2rYphqFP79a9/NTweDPNIJBLYsWOH5zIrVyrxEQwOYHDQQCqlkrjXr1+KwUFrMqv6vbAQxKWXDiEQAA4cULGMtWslLrzwQoTD4WyH8rrXBfAv/5LC9HQYmzbFcMEFUVxwQRS33z6Iw4e70N19DoaGVua1ZXJyEt/5ji5L0YENG1TsKZnsxdatW7FyZf7yAHD48GFf4eef/GQAX/rSaTjvvChuvXUPli9fjs2bNxf9nBte16OV8fEw5ubUAUunezE4OOh725OTk7j3XiWct2yJYPv2Jbj//s248cYIzjprRcmdn5/JjYeHh9GXsaH27OnG+953Fj74wWN461v9h/ijUfV93/jGV2Yd2mg0jNWrB7MiLhBQtcjOP38ThoY2AQCmp5WQkbI377p94YUXYJqqTRdffDoikRi+9z1gfn4Ag4OFz9oPPKDCSMePL8Pg4CC6urpw3nnn5S1jGAaef/55AMBvf9uLF19chv7+FN72NhPT032Z9nTj0ksvdRQ11vvTueee6znp+qFDh/I6b7+TTL/44ouYmZkBAIyOjjp+VwA4/fTT0e9gu3zxi+qesXGjiZERYMmSjRga2ui4junp6TxxOjenRndedVUXvvY14MSJJVi1ajA7y0AgEMBFF11U9Ds4sX37doRCqr0rV3biggsuwJo1azA5OYlDhw45fmbDhg1YvTo34nRiQrmS0WhfwX4555xz0NPTgyNHjmRF2Pi4Pt+6sW3bNB59dB0efXQd3v/+GWza5P0Adf755+eFQaempvCrX40AAJYsMRrex9R0VKMQIgwlum6XUv5n5uVRIcQpmfdPAdBU1k81c7ystvjUVAif+cyp+MlPlLipd57X+Pi4q72tXQAdMopEgiUnxC8sLHh+p8UWbjRNwDBUj1WKSVPNHK9gEOjuNiGlyM4BZ50uKBjMDzUuWZLGPffswM9+9lv88Ie78OlPH8Zb3zqB005T18SLLxa6mdbk+uXLDSxbpsOb7qMa/bpdt92mbs579vQgFgsUHaJfavjIDR1mBHJhXL+fTSaT2evo1a+exStfOYuFBZXrNT8/X1J+F+Avx8v6vR97rB+RSAhPPdXn8Ql7mwUSiQBCIYneXnW+9vZKpNMie24B1rIluc/qUGMsVhhqzNUGEzjtNPVZt+r1u3erh4fR0Q6k087hIuv9VJeQeMtbJtDZKbFyZQpCSExNhTE7W3ivsTszxfar/X0/SflSSt9lQtxDjepYnnKKOtcnJ73r51nRocaXvlTlbCYSAYyN5ZduKGegky5Kak1p0A/RpeR45SbKLnwA1/2u/k7pNHD8uDpX1q5NYv36JK68cgLptMDXv762aJvt9wprDa++vsbPHFPLUY0CwDcA7JZS/rPlrXsBXJ/5+3oA99SqDeWQTCarVk5B3ygOH+7Eu9/9Etx//0r827+tzW6nnsRiMdd58LRdrTuMWCyIeLy0fVCsQ3Eb+tuu6H6joyNdUtinkhwvp3CmvZbXiRPqkl+1KpUdEm4NB/b0pLF0af561q5V56pD5AeGYWBmJjeqUd/UKs3xeuaZJdizR7lnpimwc2eP5zUTiUSKPsz4va6rJbwGBlK48UYVJrzzztU4cSJZ8nXgp7O0Cq9du9Q+syfGe6GX7eszs+dqf7+eKDvXSeq5Gq05Xn19gex71nZYy0kMDACnn67W45bjpYVXMhnA9HQob6Jxjd534+Nh/OxnAwgGJf74j5U7Egop4Z9OCxw+XPjwbN/vxY6n0/vFQsR+S1UA7udixizDKafoh2H/wksn0595JrBpUyrvNbfP+EF/Rh//np60pTCq/xyv3LRBhU+iWnjp/aJKjwSwYkUqW7D1Pe85gVAojQcfHMD+/d4jluz3GGsNr97eNhZeAF4F4DoAlwkhfpv5uQLAFwC8XgixD8DrMv83FdVyvRYWFvDb3/bihhtekk0UPH68E6mUqLvjlUwmMeWSqalPUusFoUMIfnETdZrF5njlJsgurTxJOY6XTnp1El76Na2LT5xQPevq1cnsU6tXyAXIdQJHjxaKKeV45UY1Wh2vSkY16tGAesDA7363xPOamZubK3pN+e109u/P7Q+dUO63Q7UKr/5+AxdcEMXv/Z5yvbSDVyp+ty2lcgeBwlIQXuTmacwJPKcEe2fHS/2OxfJdcmvl+v5+YPNm9ffJkx0FcyrOzATzBNnoqOrM7Z2nFk933bUSpikwNDSDNWtyx1xPgXXgQKGwt99/SnW81Hf07hf8ul2Au+OlV7FunbpGykmuP+MM4LTT1HvVSLDX15U+/t3dZl5yvdvDYmFyfRDBoMTsbKignptdeOn+ct263LFcsyaFt7xlAlIWd72chFfuAaPxVQVqOarxcSmlkFJukVJemPl5QEo5KaV8rZTyTCnl66SURUrE1Z9qCK9EIoEHH+zD//gfZ2F2NoRXv3oGg4NJpNMCIyOddXe8kskkZmdnHW8odsdL/e3fktZ1VbzwI7zchGErknO8ShNepThe0WgQUuYEmH4ydFpW62I9QfbKlSnfwkt3AidOdDg6B9ZRjdrxmp8PIpUqPNeSyWTRkOChQ534xS/60dmZxvvep+qJbd/e6+iCaPwIr/o5XqrDGRhQn7nxRvUd9AjHUvET4gKAsbFwtip4aY6XOn5Ll+bOH6eSEk6OlxZe8XjAVXgNDADd3cCKFQZMU2BiIr9D3r07f+oZXXLC3nlGo1Gk08Ddd68CAPz3/56fpaJnYjhypHB/lep4NUp46es053i5r8P6HSKRAKamwujqkli3Dti8WbW/Go6Xvq6sjpc1X9fN9bILr87OMPr7dRFV55GNXsILAN797pPo6EjjkUcGMDHh/nBh71+TyWT2fGx3x6tlqUZJiX/4hyQ+/vHTkEwGcPXVY/i///fFbK7M4cOddXW89BQcUkpMO1zJ9hwvAJia8i+83MpIWDEMwzPEpOofHfO9zWZHn0J+k+o1pYYaEwkB0xTo6Eg7ijxdRFU7Xlp4rV6dyoYY/Tpex451OnZg1gKqoZBy2dJpkc1XseInzKjdriuumMQf/IGKvWzfvgRSOrtlaqj7QtGHGcMwsHt3D269dbDAddGkUgIHDxYKL339FCOZTFpCr+oGf/75C/i935tFLBbEd76zxuvjjhQTjLpdOlxnbbcfco5X7vs5FVH1drxywkvn29mH7q9bp/aHPc/L2m4gJ7ysx1OPFpycVOJy2TIDF12UP2XMqlXqnjo6GnB1y6zr88LpfS/hZZ+doBhux3R+Xl3/OrzvNeeptQ/RbtfmzWkEAsAZZ6hjoacQ0lTD8bLW8QKc87zsVesBNW3QihVqXfZwo86h0/tFfx+78Fq9OoWtW9V+3rnTfa5I6/FPp9MZ4aXOx7Z2vFqZSh2vn/0sgU9/ug9SCnzgAyP42MeOIhQCTj1V9caHD3fVVXhZt2V3lVKpVPZkt14MMzP+nZpiYUaNl+sVjUarml9XK/zObJArnlr6TAjFwo1W4eWV32VdVh+isTG1/OCgkd1OMeGlO4GTJzsQjeZfG3NzJuLxIDo60lmRp10vp8TgYuJoejqEBx5Q5Rje+c5RrF2bxIoVKczOhnDkiLNTPDc3h8cfX4oHHvAWG6Zp4uab1+Hmm9fj0UedC/kcOtQF0xTZG77KXcp93otUKpUZtp4vvICc6/WDH6xyFX1u+HW8dJgRKM3x0uFEq/DSE2VbQ41ejpdVeJmmCcNQHbUQEkvV4DRs2KC+uD3PSwuv009X55aT46WF07Fj6r316xMFuZNaeI2Pd+SJIKeSB17H0m0uRa8HcuXGeT+sPvbYMnz/+8qtc1o2kVBFYUOhNAYGDASDEtGogNslYz0v9OTYp5+u/j/jDHUsDx+uvuPV2yvz7lFOjpdT2RchBFasUPvdXr1erT9mcbzUOrXbbuXcc9W54CW8rPcJ/bc+l+l4NSmVCK90Oo2f/ES5SlddNY7rrx/N3iBOPVXdSI4c6aprqNG6rfn5+bybkPVmop/U1d/1FV56CHazCy+/4dByQ41AcderHOE1N6d+FhaC6Ooy0d+fu/SLCS+VcJ9AMhnA0aP5562ep3FgwMie5zo53ylMUszx+sEPViGRCODVr1ZDxoVQZRkA5Xo5XTeHDkXwV391Bt773uXwMqsNw8h26k8+udRxGR1mPPvsBXR3q5F98Xgg+3kvkskkEgmBhYUgQqF03qTl55+/gBUrUlhYCGanbPKLX8dLJ9artgSQSPgb1aFD1fmOl/qsVcA5Va7X8yTH4wGYphIT1qr1fX3pbDmDU09V63dzvF7zGnXCOOV45YSXsxMCWIVXOO9e4zSgwetYek115fbAXCzMaBjApz61Gf/4jxsxNhZ2FF76Ntrbqwbk6GLEbuHGfOGl9stZZ6mdffrpal8fO9YJ61etRHjp4790af555eR4udXb03UAnRLsFxYWsvvF6zifd546trt2uU/SrR+CgNx5tChGNbYyXhdYMUZGRrB/vzrAZ5yRL+A2btSOV31DjfbOyioe9EmZSonsqA/AezSNlVIm/PUSXlq8NbPwklJma8wUo9xQI1Dc8dIiKxIJWiaudX7a1svOzuZKSaxenUIolOtQg8Gg5+gkABgcVOfygQP5bsDEhNr+8uW58znXYRR2/F7CKx4XWUfgne/MFVjcskWdN9u39zpeN/fdF4BpCiSTAi71KgGoc0vnQD35pHO5BS28zjwzlnVqdEkFP8LL6nbZ9bMO2XpVb3fCj+NlTawPBPSIRH+uV67CvHeo0alyfTCoRu6qKZJyjldOzOXOlVNPVTvEKrymp0M4ebIT3d0mXvEKJV6cQo3+hJdafnw8nOd4Od13yhFegPtDebFR3Xv39mQfkiYnw47b0KvQgl1Pv+X2rOcsvERmHUEMDiZhmiLvfCun38kJL3X8ly7Nvz/5dbwA67RBhY6X9Zj5EV47d/bCKwChzx99z8mNamSosWkpx/WamZn5/+y9eZAkZ5ke/uRVZ1dV3/cx0z09Mz2j0YUkEOIQlwCDgmXBC+sAtIC9tlfGG7GxtvHaeB2B1/55N9b27hqvWRsWYgkg9gBrLdDiRWKE0LUgaSQkzUzPPdP3VV3dXV1dR2b+/vj6zfwy68urunrUA/1EKFrTVV2Zlfnl9z3f877v82JxcdFKaCSFi0ChxqtXr2+o0Y94keLFq11Afc8wL4RVuwDbddqNcrlsncdu9MtsFqj5d5hw405CjVEUL1rgwiheU1Ns0uMT6wlBqhcRr5kZzbpXzvwuexHwU7z8lN7vfrcDq6sajh4t4nWvsydhP8Vra2sL/+//2UzAz5t0fV23Fr+pqYQVzuBBFY1HjpQtgsHneflBlN/Fg7yZvLysvBBG8Zqf17CyoiGbrWFw0LnDD4KocbC7qtE0xYoXACST5vbxTOt8aZHjE/YPHmTLDf/9Se06cmQTg4PsmvHEi561MMSLqhoXFzVH2EqkePldUz9S5g43rq8D999v4g//0N837YUX7Iu2uqoGKF7s3KjhvIh4uXMOiXiR97eiKNx6YxOvnYUaiUw7aUMUxaunh50zbYB4EPHa3GSFArGYYamYPLq7q+joqGJ9Xa3LYeNBhIt+2lWN+4rXnkXUxb9SqVjtEa5cYYOBBj6hu7uKeNzYNvmTdtzYNsq58djc3LQmEFFiPWD7yQQhCvEyDEN4XVddB4vymdcTVEQQpvjCtpOIfpwgxSuVMiBJJkolhdvFiRcSXvG6do1N9ryVBCGYeLHFa2bGTrDXdd2DeNW2j1lvxOuleBmGnVT/sY/NO9Sio0c3oaoGLl5MYGnJ+cxcu7buUK+8iJdhGHV5JSKTUVK8JiaqyGSoD2G4ysZyuWxVNFL1Fg8iXmQMGRZhFC9Su44e3XQ0Kg8DEfFyVzVWKlTEYdapuFRNS8SL9/Diw5eHDrHzmZmxHwoiXhMTmzh4MAFFMbG8rFl9TqnND40bv9wfPscLsJWuZoUaAXvzWCyydl0PPljAww9L+NKXerG15b1hOnXKSbzCKF5+Gxj3+VOOF0+8hobs1BavvwsDWj9I+d2J4kVG9qJQI52bbZxahmgqlKRw4UYv4tXSsk+89iyiEC/TNHHp0iXUajUUizKWlmKIxQz09DgnB1nmE+yvX7hRpDKQ6kUkwi39hjHYZt83mj+X6P2FQgHr6wq+8IV+LC/H9zTxAsKNDeJmjRCvIMVLlm1CRc7UYZLrp6fZIkiu9TyCiFd3NyletqUEbyXhDDWK3esNw/Ac8z/+cQZXriTQ01PBO9/pXGnicRMTE5swTQnPPeccpw89ZKBWs6exmRlxyJX3GyM8+6wzzyufV7G0FEMqpWNkxOQUr8ZCjW7097MFgBSdsAijeFF+17FjxTqftyDwDvMEd6jRS+0CxIqXmHix6z8/H7NCRDzxam/PWqoVjetKxWk6S4rXgQP195kS0gsFFZWKhGKx6NlLsFHilc/ncerUKZw5cwYPP5zH177GxlC5LDvIFQ/TjKZ42cTLW/Hiz79YlLG8rCEeNzHE2htCURQrtWWniletVoNp8oqXc1xpmla3WfQiXn7u9QS7otFbHefDjV5whxpt4rUfatyziGIpMTc3Z8mktLsYGipD0B+Yy/O6fuFGL+JlmianeDkflEIhODE3avsTQGxkuLGxgW98gzVn/rM/O4yNjY3rpgaGBU8yoyheCX+DZSGimKhSInJQjtfampN4RVW8enuJeMUd7T3cnlWAvWCsrSmO++gXZiSl6S1vWYWopSfleb3wQoJrBm3iO99hkzQRPy/ixfK72AePjbFr8uMfZ8CvfxRmPHSoBE1TuByvcIqX27Xejd5eUryal+NFrzkVL9tLLQx4vy2CW/Gi/B4R8UqlnMSLKV5kJWETr0yGjY1yWbYWXvLwOnasiGw2a10jvrKRiNfWloTFxRhU1cTb3jaONv6EwTYkRNyWlliel1enAMMwPFMG/IiXruswDAPlsoT/8B9GYJqSZZHwzDPigo3LlxNYXeUrxsXEi6bTdFqHJEnWBkZEvERWEsPDNUshYsRr54oXI10mp3gaSCbrH1C36hVEvEShRoJfOJkQhnjVK17svPcVrz2MsIpXsVjE7Oys9W8KMxLBcuO1qGwUEbxyuYzV1VVr8qGJsKeHfJ+CiRevTOXzKh55pB3f/764TJ/gJl6FQgGmaVoP0HPPdcE0GyN1YaDrekM+bXzVUpixsZNQYxQvr4UFIl5hFC/2O1GoMZFI+B63u5stYLyJqrNPY7Di5ZdYTwstWVe4ceKEnedF43lubgNPP80Wuw98gDWE9lO8yLjzTW8y0dNTweqq5jBLnZy0iZeqqpbiRWpPlBwvUaiRvlszc7xIjeCVIzvUGI14tbfby4E7x4uuAYVfebiJl9u1ngflcc3OxrCyomJ+nimM4+MsV8iPeNHv+voqiMcVjI6O4sCBAw71lhLsFxZYZaOfIu9FQsKQky99qQ+XLydx4EAJ/+7fXQbgTbxI7ZIkdn3yeXGokVe84vG4b1WjKLF+dNQmkrzixedBRSVe7orGZNKomzuA+jwvL+Jltw3yVrzCEC+ylDh7NgWvr1SpVBx5gvuK1w0AtqvxL303DAOXL1927JzIN+XAAfHifr0rG/myWjdmZmas/6cFY2yMiJf/0DAM4KmnavjiF/vwwANHcd99N+NznzuIz352DJcuecs8W1tbjkmHES974VhZSWByMrlr4cbZ2dmG2hfxRDAMcbNDjREaNW4jmuLFJjhqreP1vrU1u12QSPGSJAkJH3mOQo2zszFUqwa2trYcoUaeaPCKV1jiRZVXVPnnxi23sHv28stplEpscX3ooSrKZRk337yBo0eJGIo/nw819vUBd93F7idvK0GK1/h4CYqiRAo1kkmxX6iRcrzm5mIIsHyqO3cvVKtVLC4mkM8zU9H+/op1z6MSr44Oe9zVhxqDFS96rLxCjQAwOGh7edEzz1Q6tvHq6yMTVDvBnogXKTuDg/a82dHRgWPHjqFl+8Qoz2tpSdvOQfS2f/EitEEEe3Iyia9+tReSZOLf/tsruPPOdSQSOs6fTwmtQoh43Xor2zyECTUmEglfxUvk4TU+br8uyzIGBipQFBOzszGHtUgU8uWuaEyndSGpCq94qZAkFg72Og0v81Qe2ayO4eEtlMuyo8UXj3K5bM05tRojj7JsIpl87Svn94mXD9xJ325MTU3VLcIk65LM6wZf2dgMxSuMqaMX+HOnRYmM98hB2Qv33WfiYx8bx//6X/145ZU0VNW0Qhy8iiACER/TNFEoFLCwoDnyb556KmcpYc1EpVLBwsJCQ1WTPPEql8uB57aTUGMUxYsWKN4zSvS+QsHZINud4wX4hxsTCQMdHVXUajKWlljVmLtPI4FXvMKGGkkFIsXDja6uKvr6yigWFfz0p+zzH3qIkYK3vz1vhXu87CR4K4n+fhl33cUUTD4x37aS2ISqqpFCje6QvYh4JZMGWlurqFZl31CL6Ny9UKvVcP58DgAjMJJk2xA0J8fLrXjV/72beLkbZPMYGrK9vHjildo2BOvvd1Y2lkola54iJWR42HltY7EYjhw5gkQiwVU2itsO8fC6n/7XG/j850eg6xL+/t9fxK23FhGLmVYV7rPP1l8gIl733svWkzChRl7xCiZeTisJQiKhoL+/DNOUrGvn/tsgNKJ4ybIsnF/YOaloba3BNKW6SnoCnStV53ohKNyo67pF2m0PL12YsH+9sQdOYe9iamrKoQrxWFtbE3o6eVU0EijUeOVKAuVy44qXaZq4evUqlpaWfN8XltyR9EvEi3esdkPXgcceY///4Q8v4L/+1/N47LEX8aEPsevhp3gBNvHa2NiAruvWBByPs8noqaeyofo/RsXU1FRDdhVbW1uO6xjmM3abeFFOlx1qFEsoRLzyeRPz8zbxEk2etPh5wfahiln+beLkejvHKKziRQSSVCERTpxg4+HppyWsr9fw+ONswn3b21a5pGzxlFar1awcr74+m3g9/3wGlYqEWg24eLHxUCONDz/Fi/9+UcKNfsetVqs4d44Rr2PH2PWJUtVomrziZT/zySQraqhUZGxtSb6KVzpdr3jZ3mDOsXzgAPvJiJed35XetsAfGGDjmMYDvzmkBXlkRHw9UqmUw0Q1CI2EGr/+9R6cPp1GT08FDz5otzi7+24mV7nDjXNzGubm4shkarjjDjbmiHC476tb8bLtJOo3efw5kkJ0+LBzznZWNjZGvGhc0/13twsi8IqXl9pFr9EmTbT5MAy+qtF/7aJwI28c7AZtmGk8em1Qrzf2iVcAZmdncfHiRccOpVar4fLly3XvNU1e8RITr0xGR3s7C5FMTTWm6BiGgYsXL2JxcTGQAIQlXjQZ0K5pY8N7aKyuAqYpIZOp4bOgNq8LAAAgAElEQVSfvYY3v7mAZNKwwquXL/uzDdqFUDiRHpz771+CLBt46aUWbGzITQ03FotFq09l1BwvUb5Z0GfspKoxSqhR19n98raTYON2aYklx7a1VaFpppB4BfdsZGOJejZWq16hRlLZwuV4bW7KKBRUxGKGJ2EBbD+vZ59V8NBDJZRKCiYmihgYqFiT+cKC3eKHB6949fay/8bGSiiXZfz0p2lcu5ZApSKjv7+MlhbDEWqkRcdvwaLnzPbxEm+qGrGUME3Tk3yVy2WH4gUgUnJ9sSjDMCQkkzricee4ozDh+roqbBdEIL7OK16kMLgVL97LiwoCJiZKFumnUKSo8tMmXuJNRjKZRHe3baIahKihxtnZGL74xX4AwG/91hXHZucNb2BzxDPPZB1h5BdeYBfslls2LFW2UGBjxK16FQrs3y0tBhKJBGeg6k+8SPE6cqS+NyIfYSFESXEJapBN4BUvP+LF2gYRoax/3+KihmpVRnt71bIp8YKteHlvGKnojZ4F2hS+1tgnXiGQz+cxOTlpDcKrV68KB+/SkobNTQW5XA2trd7MmkjZuXPRL3+tVsPk5KQVBm0W8aKHwCZeitUCxI3lZfaTdmQEIl7u/mBukJJF34EUrzvvXMfExCp0XcKzz2abSrympqas/4/aE1JEvMIrXtFzvKKEGglexCuRMKAo9sRNikAjxItyLmZnYyiVSsjnmZVDOq07jGJ5xStMqJEPM/pxTsrzeu45Dd/6FrtGb387G0OplIFUSkelIgvNf/mwaG8v+/58nheFGanbBK94hQk1uhUvUXI90LilhNex19bWcf48U1lIAYhiJ8GHYNzjjkjT2prdmiq84kXEy/mZo6Ps96dPpzE/H0M6rePIEdnabAwMsM+am4vVEWgiqyIrCYCNX95ENQhRQ43f+lYnymUZ73hHHvfc45wTRkbK6O0tY3VVs4o0AGd+Vy7HPpeFGuuJF2W2ZLNsY0Tzqyi5nidEVOlJVhIEXvFqNMHe3SCbtTOqn5/CKl4A0NXl3a8xbJgRAA4f3oSimLh4MWkRQzfoGtvmqfuK1w2FYrGIM2fOYGZmxlJO3AgKMxIo3HjpkhYpj6lcLuPMmTOOEFyQ8sIqrRT8j//R7xveoAXjwAEZsZiJalVGsSgepDbxcr7OEy+/5OFqtYq1tbXtXClb8Tp+vIQ77mDhyqeeyqFUKjUlD251ddXRjgIIX7VqmqawD1vQdd8J8YqieBG8iJckOV8j4iXKwdA0TUjICLZawwpDZmfZBO4mGek0I3ubmwq2ttixa7War5IAeOd3EcbHNxGPG7h8OYa/+Ru2uL397fazSIuuKMG+VtOtqsaeHkasXv96Il4ZR6sggF0fd46XnwVBuVxGrcbUIUUxLdXPjUYtJUTXrlar4dIlHWtrceRyNeuzoxAv22G+/vP5fo1+ihc1yibnBpZczz6XT9gHgPFxdg9IfTxyxE6sB1hz7mRSx+am4jh/07QX5YMHxd/FGWoMJrZRQo21GvDXf90JAPjlX65PJJQkp+pFIG+v227bQDKpoKVFh65L2xtb5zVfW2NjK5eTtol/cHK9bSVRrbMv4isb+c1wI8SL7r+IeAPseaI5JYh4dXZS26D694WpaCQkEibGxzdhGJKjQbwINB73idcNiEql4rCOcIMGdxDxaqSyUdd1nD17ti5cYxiGLwmoVCp4+OEOfPnLffj617uF72E5HKyxb2urbIUYVlaCiJfzAW5pMdDZWUG5LAfmsFDu3NxcDIWCitbWKo4cSeJ1r1sAADz9dBamuXMXe9M0HWoXIWy4cWNjQ5gIG0Tc6OOvn+LlzXT593Z3V6Aoiucx/FQvyrkg5WFxkX0Gn98FYDvB27lbD2Ml4ZffBQCqaocXSiUFY2MlR1suCuWI3OsLBQPlsoxUykRLC1sobrttA4rCrExogRwf39w+lloXagS8Fy3eSiKXq3kqd3QNm6F4ra2tWWrxsWNFy+0/ip2EHYIRGZIS8VIDFC/2vmKR/XQm1zvHWUeH7KjAnZjYdOQWappaZykBMJVoc1NBS0utjszZf6uhr4/NXUSy/RAl1PjEE61YXtZw8GDJUl7dIOL19NMs9FsoaLh4MYl43MCxY5vIZDJoa+NVL3eokf3M5bCteBnb75Xq1D8aD6RkHTxYf868l1ezFK+WFm+hgFSvIOJFbYNElhJ2Z4Jg4gXYKq9fuBGwc5b3QrsgYJ94NRVBFY2ERiob5+bmPEmaHwlglXxsMHv1taIFo72dNfbNZslvRryYUz6/m3gBCJ3nRaodtXw4dmwTra05jI6uo7OTnfP580ksLi7uyHZjcXHRseh/+9ud+P3fH0SxGE7x8vITK5fLnjYd7HX2M5l8bRUv92uiPo08/ImXs8mzXwUfKSjLy2ws+Y1zm3gFT7aU5wU41S7AJl7T0/XXgqode3pMSBJb2NJpAydObMAwJCsXxy/UCPgTL792QYRG2waJyMD6+rqjMpDQCPHim1kT+FCjf44X9VNkY71W04UWFQAj5f399vM8MWEn1gOMLBDxIqsUwNkqiG/w7kZ3dwzxuIFiUbFsQLwQJdT47W8ztesXfmGprvk54c471yHLJl58MY3NTRmvvtoOALjppiI0zUQ2m0V7O5Gpei8v8k7M5djPRIKRVF2XwIvuhmFYcw8lzY+O1t8/RWGNsmMxA4uLsVC5im6EVbwAO88riHhR2yBRcr2teIVbF8MYqQL7ocafaUQNNYZ1r69UKpj3qpOHN/EyTRPVatXaWfAlxTxsSwBqVcF+n8+LdzekeIkWmLDEi8AvHLlcDpIE3H03IztPPplFqVTC6dOnG6pwNAzDUihNE/jv/70fv/M7I/jGN3rw5JPhQrx+Rq5+qtleyfFyv7e7W2wlQfAjXrwSUatBaJ5KcJs/hvHwCgo1AraDPQC84x1u4kW93kTEi13THtYO0iKfVN0IsKraoaEyJEkShhoB8aJlGIajwtOvQMCuDI0LiwC8EKR4TUyIiFdwVSO9hzZbPHhLCT/Fq6WFelqS8mWgWpURixlIp+vH2tCQfX9uuqnsGHNEFgCn4sV7O/ltHNLplGWiGqR6ed1Ldzh5djaGp5/OQtMMvO99y56fl8vpOHasiFpNxvPPt+CVV9gFvO02NsYymQw6Omzi5d640VTT1saWZU3ThOFGUUUj9WjkoSgKFMXOl6KNd1jiRa71gL+BLiGs4jU8zH6+/HIabo4bxsOLR3jitR9qvGFRqUg4f96bUARVNBIGB8uQZRMzMzFsbAQTr+npaWFuiWGwMIgX8SJSR8RqZkY82duWAGxQktu0l+LlFWoEohMvyu86caIMTdMgSRLuuYdp7k89lbO+x9mzZwOtM9zI5/Oo1WowDOA//+chfOUrfdZrP/lJuORbr5YjgL/SuJNQY1TFS5JMJJPe6pszx6vetZ6HH/GKx010dlag66x1ix/RsBv82s2OvRA2xwugJOUajh8vYmzM+ZyR4jUzUz/IFxfl7WOwfxP5pAR7gFU5Kor9mijUKFJD6q0kvJ/plhYDmQxrm+NuTO8H93GZOWTFYclAoIKKcllGteo//vxDjfQe/6pGO8eLHYvajYkS9gFgaMjY/jsdR47UWyCIQo2UEzcwUA7cOIS1lBDdS9HvHnqoA6Yp4e1vX/UtmgLsTePTT+fwyitM8br11g3EYjHE43F0dNju9TzxMgzbO5EULz7B3ot4kXmqu6IRsMex3bMxUff3fuBFAXoG/IhXWMXrzW82MTBQxrVrCfzt3zrLXqPkeAHAwYNbSCZ1zMzEfZ+nfcXrBsXly3E88MBRfPSjx/Hww+11r1erzKROkkyrksQLmmZaxnaTk/4ls8Vi0dN9+fd+bwhve9uteOUV8WCiBYGUiXJZFlaS0IDt7GSfk8vR7xtXvIIqGwGmQlFS5O23s+sgyzJe//p1KIqJF19ssWwtTNPElStXcOXKldAFCYuLi6jVgN/+7QP4y7/sRixm4O/9PaaSnDqVCJyAREn1PMIpXqFO1YFwPl72PU+lDN9qQJ6keXl42Z+V8nWw5/O8iNCLiZdT8QoXagwmXtmsjr/6q5fxx388WRfysZPrnePDNE0sLirbx2AXiq7BTTcVrZwjCjPWEy9vxUvXdStfMYzixc4herjRfdy1tTXMzrL8yGy2jJ4ee5Hkc+yCEuzt1j71zxTfNsivSTYpXqWSk3h5FRiQ4sE71hNUVZzjxS/IQcTLbaLqBXESfc31bzup/oMfrPdtdIMKNn74wxzOn89CUUzcfDPrQwkAHR3sfe5QY7HILHqYrQcbR8zEt76ykSdEtpVE/TWh6+T28gqbuuEkXkTQgxUvt4u9G4mEik9+kkUivvzlPqsQa3NTxsqKBk0zLPIcBEWx1V6/PC+beO3neN0weOSRdnz84xM4d47d2O98p6PuPdPTMei6tN1HLJgYULhxctJ/kRUlhgPsgfurv+qCrkt44QVNmG9k78TtHQhJuTxoASUZnCZcr7x2yttxVzUCNvEKMlEF2DVbW1PR0VHFyAibbCRJQiaj48SJDei65GjpAgBLS0uYnJwM/OxSqYSVlU38q381hkce6UAyqeMP/uA8fv3X2Zd66aUWbG7653kF9Yv0U7zKZXaNdtvHC/APM7LX7bERFGqUJAnDtDIKYOd5xYTmqQTaWRYKsqMZuxu1GlMmZNm0QkxBaG3VhR4/dnK985niPbzcoUZVBV73OkawDx/edLzGtwwirs8vzMViEadPn7aqnP36NPLgWweFhVuJ4fO7xscLdSQ0bNsgr9Y+gDPUaCse9Z9hK14yDMOwEpm9iNd738sc/N///uU6014WanS2DQLcOV7+im13t7fi9eijrfjYx45ifl4TEi/3dX7qqRwWFmIYGtqy3On9cNNNRaTTOmZn4zAMGUeObCKVMpDZvnBdXex97lAjb55qj01xZSOd99aWhIWFGBTFxNhY/Xel59zt5bUTxSub9Z6b4vG4r2s9QdM0vO99K+jpqeDixSR+8AO24PDGqVHc5cOEG/cVrxsIW1sSPv/5EXzucwdRKil45ztXoCgmnn8+g9VV5+AKW9FIIPn3wgXvW5DP5+tsEAhf/WoPDIPNttTCxQ3mVwWHBCsqY6fXu7qIeNHOVUwgl5aIeNU/wN3dVSSTOvJ5re4auUFhkqNHN5FMsutHpOONb2Sk56mn6hvPbmxs+PZgY+e4hM997iAef7wV2WwNf/zHk7jzznUcO6ahvd3A8rKGc+f8F/qgiko/xYtux243yQaCiRe9V1UN5HI134ULYLko7e31qi7gNFH1U3hobLCebDVPxWt+PgbTlLaVON/TCgQRr4UF5/VjrvW2hxfg9DH7zGem8dGPzuP++5cdr8XjQCxmolaTUamwz6SFeXZ2tq7K2E8B5EHkNYqlhHuxXF9ftywwxsbqNwhhE+xth/n61/hQY1jFS9d1S2UThS8B4JZbVHz/+y/h/vuXHYn1gHeoMaziJUkS+rYzCkTE60tf6sOZM2n86Ec5YT6Xm3iFSarnoarO8PVtt7H52yZe7EPcxItvF0TfLyjUaPeurEDT6k/OS/HyM+TlIVK8cjnv9SoWiwWGGQH2vTTNxAMPsPLjL32pD6bJf59wYUZCOAd7b9uU1wL7xMsDU1MxPPDABB56qBPxuIF/82+u4D/9p0u488416LqEJ55odbw/bEUjgQja+fPi1cY0TUxPTwtfm5vT8PDDtuq2vOxNvAoF1SJogDjB3g41skmIkju9WlVSpyQR8ZJl+7sFhRvtisaiFd4i0vHGNzLS8/TTOWFe2szMjGfI0TAMzMys4LHH2qAoJv7kT87ippvYw5lOp3DXXdSayFuZLJVKgZK8X2XjTkKNYRQvnmyFJV5dXVXIstg81Y3BwUHhAsebqIr6NBJogmMeUCXPe0X5XWHVLj94tQ1iihf7ziLiNTq6hd/8zSlLGeS/tzvcWCqVMDk5KRx/YUONRCwabRtE7ZqImPT21uchhiVedqix/rWwilcmw14rlWRHuyAv4sUnYbvDUoqiWO7zCwsx6DpL45ifj0GSTAwM1AI3JgMD9oaUx+xsDJOTbM6hsVsfWrT/PT+v4cknc1BVwyLlYUDhRoAl1ieTSYuQdHXR3OoMNYoUL03TuFzJ+nOk/K6REfE85Va8Ll9OCJVbL/DzH+X4tbZ6jydFUXzTFAh0LT7wgSV0dFQxOZnCj36Ui5zfReAd7L2yUGyj4P1Q457GH/7hIC5cSGJkZAtf+coZfPCDbMdDjU4fe8w5U4WtaCRQqPHyZQ0XLlzA/Pw8isWiNZkvLCx4hme+9rUe1GqyNYj8FC+3V4oor4QmISJelONFuRr172c/vUIqBw+GS7C3W4ZsWg8skY7Dh0vo6Khifj6GCxfqP6dcLmN5WTwZ5vN5TE2xB623t4JDh+x7kkqlcPfd7Hv9+Mfek0hY/zAv1Ytu3W4pXooCKzfJz8OLvW4TLyAc8dI0Df39/XW/501U/ZLJKTelUFB9CxSi5HcFobW1Bkkykc8r4Dmz27Ue8L8G/Gt8uBFg48Ir9y+oXRCB8uSiEC9+oaQQOF277u76MRjWRNWrmTUQPseLRKutLRm1Ws3XogKAVUTjVrsAdu3jcRMdHVXouoSlJQ1zczEYhrStpgdbZAwPs/eQjQ7hhz/MWf9P86Jb+eH//X//bwcMQ8Jb31oQbi68QAn2AEusz3BstafHJl5ixctwhBpFjbJpLFA6x9iYeONFxKujo4Zcrob1ddUio1GJF1W1ZrP+17/Fz29iG7LMOhXE4yY+/nGmev3v/90XuaKR0NdXQVtbFaurmmfepO3jta947WlQ/sTv/d4Fy80aYMRLkkw8+2zW4RMTtqKRwO9CVldXMTU1hTNnzuDUqVOYnJz0NGpdWVHx7W+zRIF/9I/Ye/wUL1pwVJWRKpHiRQsG+avYE249ATBNYGWFqm/EDy//3bxgGPY1Pn68ZO18iXTIst14lqob3ZidnRUqKUtLS8Ldk6IoiMfjuOce9hA+/7w3K1paWsOrr3rvoAheeV673asRsBfXIMWLCDIpLUE5GITu7u66HBwiDVNTcd+cJl7x8iNeZCURxsMrCKrK1CbTlMD3r+dDjZTj5WciK1K8eEsJLwS1CyLwlhJhwRMCIn5EvLq66sdgWEsJet1tdMp+Z78nrOLlJF7+Zpsi4iXLMiRJshTQ+fmYw1QzzNg9eJBdV7fi9cQTPPESExC6zroO/J//Ez6pnsfAQAX/5J9M45OfPIPWVt1FvNj5+ylefKiRniMR8aJQ8/Hj/sRLkoCDB9kYuXgxfJ6XSPFqa/MfT6J7KgKpXh/60BJaW6t45ZU0vv99NuCiEi9JsjtOiKIsrBH8vp3EnsfGhozZ2ThiMaOOSHV21nDiRBGVioynn7bzj+iGU3J5ELq6WC5UoaA6cqGY6/O6Zwz+61/vRrks481vXrV2VmEUr1tuYROriHjReyjx00/xKhaZrUY8bjj68/EIYykxNRXHxoaKzs4KhoacDzORMPp+P/mJYLbf/n6Li85JsVQqYWNjQ0i8iETcdRcgyybOnEliba1endB1Hb/7uzl84hMT+M53xLlO/PFE2ElyfRjFCwhPvN785gI+/elZfPrTjKiHUbwIIyMjjn/39lYgSSYWFlhuFssZq/872qmvrYVTvMJYSYSBqLKxVrNDjUS8AO/rwP+eqrj4ykYv+BnK8iB1b3a2vh+hF2ihNE1zu5uCnXze2SkiXuEaZZMi1tHhTbxWV1VsbbH3pQSFYzbxUlCtVq1FLoh4uUk9we3lFTa/i3DgAHv/4qJmXd+NDdkxjxBJ9go1/vjHGczNxTEwUHZ4vYXFP/yHc/jwhy9uFwuJiVeY5Hq7qtG+lkSIzp9nxOvECfF15q/V6Cibky9eTDq+px9EOV5BglZU4pVMGvjYx5hHJT0/UXO8AP/wPQuBszUrFotgnreL2CdeAtDgPHBgS7iokGP2Y4+xmWljQ8bysoZ43LAqaoIgSXY+GN853g9rawr+4i+YLPWpT81ZycTLy6xCh39QdF2HruvWzu7OOxnZWFjQrERhgO0GaMCT4kXEi3xlePhZSRDCEC/K7+LDjAT6N8Xuz571LhOem5tzTGDk9cVXyBBoos9kgMOHmR/VM8/U3698ft2yDHnooU7PYwPBocbdspMAwhOvZNLAP/2nM5bvVRTixfrfdVn/1jTTMca9wmq0U19bU5rm4RUG9Excu2aPz6UlHbWajGzWAG9TFoZ4uUONXtB1O5zhpQQTslkd6TTrR0h/EwRKBKcWVisrKqpVGe3tOhKJ+pBe2FAjHZ8KanhkMmzOKJfJtdwUVpslEjIUxYSuSygWq9x1iK54AfUJ9jzxCjN229o0tLSwhul0Ls88k0WtJlsVuEGhRiI199xTiFRh50YqlXIQoNZWdk3X11WUy/WhRi/FiyrJAUaaymUJV64kIMsmbrpJfIKSJFnq+ejozhQvP8WTR1i1nr+PH/7wokUwAeecHRZ+lcJ7zUoC2CdeQtBDR74+blCe15NP5lCpSJbaNTy8FekhtY3twskif/7nXSgWFdx55xpOnCgik9ERi7H2GKWS00jVNk9lA3xgAOjrq8I0JceuYHNTRrksI5HQrfg9hRrX1+u/jJ95qv29mEHs9HTcQfJ4UH7XsWP1xIuM+AYGKmhpYWGipSXxhFutVi3VyzAMK+/LT/ECgDvvZOf/5JP1i9Z3v1u2yOgLL2R8c3G8Q43S9nfx/FNPhJ28iHAF5Xi5ETbUSBgYGHCQQT4s6JX7witefmhmjhfAm6ja14R6N1LVLsHrOvgl13uhUFB9FUAektRYgj0L4znDjENDYnITxk6iVmMqlSybyOXq3ydJzqR7L7VDkpj/FDueXdUoyhsjZLNZ3+vvDDXa1W7hw+TsfKiy8fHH2Rd5//vZ/BAUaqQwJSX6N4qMi6koim3Dw4cPSfHKZOz76eXjxZqjJ2AYEoaHt5DLeY8hul5uxSuocEjXdWtDaxhsnABixbMR8NWPLS0GPvpR1qO3vb0qtIoJgh2+9yZee6WiEdgnXkIQ8RobEy+qg4MVHD68iWJRwd/9XSZyRSMhitno5qaMb3yDxUk+9Sm2kkgSONVLdZAA2zzVVrOGhmhRstkAX4lFDykpXqLduF+fRkIsxpyJDUPy7A9Jpb8TE8U6t3QiXpIEHDnCvpNf9/m5uTnouo58Pm9NnDRZU+k+4CRed93FJrhnn61/BP7yL6nqik0A3/ue9wpSqVQ8PNTou3j+qSearXi5EUXxAurzofgdqZfySbkUa2uKZzjNMIKJV9hrQbDbBtUTr+5u54mECzWyn0E5XmHzuwjuvpdhwCoGnYn1IyOS8BrR9fdTvPi8F00Tv48nT36u5dQ5oVDQfSslCbmcOG8TqDdRpRyv/v5KaOLV38/OZ3GRtbd68kl2vPvvX4Ysm1hbU1GtSp7Ei3ICaTw1CjJO5UEdQpaX7bmHFC/+7ZIkWdefSBpZQZCn5Ph4ydew1CZetuJlmsGKlyi/K8ioOQrcz95HP7qAm2/ewAc+EK07CcHeyNQ/TzTO3W3WXkvsEy8BghQvAHjb25jqdfJka+SKRgIRtTDE61vf6kShoOLEiQ3ccYedc0A5Le48L7drfU8PMDTEHjaayABnXgopLTQnkms8jzChRsDfSNUwxBWNBP7f1PzXj3jVajUsLCxYYUbThGOXDDAVif/ce+5h3+2555x5NisrJTz2GJv9HnyQ2Xn8zd9Ey/MyTRNbW+b2d/H9UyHCKl5070UGpl6ISrpE58STWfexaScbj5uIxw3UarI1cbuRz6uoVGTkcjXPXW6YKiketomq/Tvq09jbG514hQ01hmkXxIMWiiju9ZVKxcqXs4mX7Eu8/BQveq2lRfccc3zSvd+tSCbN7c80LJVT5IZP8CNQ7lAj3y4o7Pjt72fnvbio4cUXW7C2pmJ4eAsHD25ZOXj5fH2jaiIkpHjRM9YIvCo3qVH2yop9zVdX2e/c4VnKvaPWW+7E+vHxLV/vLK/KxkaIVzrdvPwo9zlnszq+/OWzePDBmYY+zy/UaBv67oca9yxME7hwIQzxYtrvyZOtuHSJvT9sRSMhrN8VAHz3u8y361d+Zc5h5EcLjTfxshWv4WGnGsRet93H3YpXsaigVnMuiGFCjYB/ntfVq3FsbrJwQmenbilcBP7fR46whcYvzwtgqheZza6tsaa+qZRuyfruRN4TJ+LI5WpYWlJx9ar9+299q4xiUcGxY0V85CMs9+D8+ZRvj04+z2tlZQWvvPIKyuXGQ41hVZ4HHpjDb/3WFbzznfngN28japiRwC/MvDrlTiTv7LRz4miMeOUxhcnvcodqgkALJU+8yFCVT6wHvIlXI6FG20oirOIVPdSYz+etKt6wipdfVSO/IHmNC1618rsVpHitrxtcqDF6n1LASbwuX05gbU1FIqGjvd37PN0YGmLjdXFRs6oZ3/rW1e3zstMwghSvnRAvsk1wo73d3D6GfX3sUKPzvbkcy58rFiVUKjbxInHg6FH/UKhXZWMU4mU3SG8e8Wp0A+iFoSEJsmxicVGD+6vtNdd6YJ941WF5WUWhoKKlpeabKD82toWhoS2srmr40Y/Ygx22opFARG1qSty8mgftjG+5xelkTxPD8rKGra0ta2IWKV4jI2xy5ImXKNSoqkxWNgwJhYJzsC4u0s7MfxD7kUo+zBiPx+sWDv53YRQvAI5wH5/fRR/tJl6qquDECfbZTzxhP6l/8RfsGrz73SvQNBPveAcjNY88Ut8milAqlVAoFPDqq6/i0qVL2NwsQ9fZgUMYOdchvOJVwy/+4pJndakIzVC8+Lw5PscrkUg4Qit2uFF8zDAVjS0tLaGvB2BvREjlAmD1aeztdY6zaIpXUKgxXEUjoRFLiVXO0Ziu3fCweLyEqWq0TSX9FC/7//0UL9DJMrYAACAASURBVFIsmeLFPre9vXHi1d5eg6oaVmL/wEAFkhR+40CV0ouLmpXf9Za3FLbPi7yx6pWf+lBj48TL61zJLzGft1+nLiHuIgdNU617mc8z4mWawOSkv5UEwW0UDLA8r0YUr4jisy/CGK1GQSaTQG8vW7P4VlPA3rOSAPaJVx34MKOf8CBJdriRJoeoOV4tLQZaWnSUyzIKBe8JpViUsbGhIh436ggP5SAsLbF+jVRBVqlUtj23bP+iAwdExKs+1AjYkvfKihfx8n9w/UxUn32WLc5Hj9aHGQGm+FDewsjIFuJxA7Ozcd9rxMOvopHH7beza/Xkk5TsquPkyTQkycR99zHC9d73suSK732vDR4m9VhYWMD58+ctxbFaZQMnkTBDtRlxI2peUxQ0g3g5FS97gk6lUkilUtb5BytewR5eyWQy0jnTQrm4aJ8vOdlT+Ikg+lz3Ykk8kqq6vBDWtZ7AW0qEBb9Y8sRLNF7CVDUSIQ5LvPwVL3P7eJJFUnO5xsaxqqqQZTgafxPZDzsWyL3+Jz/J4Nq1BHK5Gk6cYJtWvrKRDzVS/lSlIqFQUKEoZuicPRG8rmlnJ4UPFWujTIqXm3i5vbyq1SqWl1WsrmpoaanhwAH/cem0lNip4uX7J5GQSCQibaiCkEwmrUIT9zO1r3jdAAiT30Ug4gWwBaiRqoneXgqNeE/AxOB7eip1CzmveAF2vlGlUkGxKKNSkZFKmUingdFR9jd8Xoko1AgA2Sztypxsw69PIw/eRJUnLBcvJvDII+1QFBPvelfec+dD4UZFsZsXB4UbCSIHZBHxuvNOdr+eeYY9Bt/8ZhmViozbb9+wXN5vvXUDPT0VzM3F8eKL4pnHbeJKRLxRz5hmTkhu7ETip7yMnp4KFIXaS9njIJVKQZZlq1giSPEKCjVqmrbd1y28bGi3DbLH8vIy+/++Pud1FV0L9+/CK17RcrwaIV48ghSvMMTLrvbyriKLqngtLWkwTQktLTXEYo2FtWke4scFPcthFa+BAfbz8mXbFoJurZfiRSSMnxMbfRS9woyAs1E2HZOS691kVdM0a64lxYvWqPHxEuJx//Hj5eWl67pnGy9ArHhFjPr7glXCJoPfGBKJRAIjI84wPGHfTuIGQJj8LsLx40V0dbHJIaraRejrYw+eWx7lwRMvN/gcLwCc6lJ1qF0A0N0tI5nUsb6uWiqEnZvi3PXaxMv5cIapagSA1lYdbW1VlEoKFhbshfOP/mgAhiHhgx9cxMhIOZB4AXa4MSzxomRcSgKXJEl4nLvuAiTJxMsvqyiVgG9+k01673mPXectyyzsCACPPOKfZE8gxauR/C46391CozlegE1eVdVWqYig8q9TQrFtKSE+ZlBFI03MUYhXOm0gHjdQKinY2KA+jdr2cYKJl/v62Dle/lOln4s/IR6PW9+lra2GeNzA+roqLGLxw9aWhNVVDZpmoqdHTLxYBZqJzU2lLueFENTaBwif45VKUauz2PZ7vVW0INA94Oe7qMTL3e3qLW+xN8mkeOXzqpB4NSOx3p23ykPUKJu6hLS3O7+fqqrWBmZlhREvqmg8dKjkexzAW/EKqmwUmaeSmXCz4GWg2wiSyaSl/rnD9/uK1w0A20oiOF9Llm1Pr6gVjYSBgTDEixLk6ycCkeJVq9Usk0UA6OlhD4yqKtYERqoXkbOODuegpAR7qrYhhK1qBOoT7J9/vgVPPNGKZFK32h15ES/+95RgH5TnRXBXNCaTSSGZ6eyMYWyshFpNwiOPAE8+mYCqGpZBLoHCjY8+2maRKj9UKuyxiscbU7z2YqgRgGOH+q//9VX8xm9cc2w46onXznK86HhRzlmS7GdiZsZwEC/q00gIo3hFtZPwCzV2dHRY10aSGsvzAuzr1t9vl/e7CYksB6teYRzmwyte7Cf5ZjWDeDkVL/b/YccCf681zXD0TyTFa3lZs4xpARHxalwh8cth6u6u79dIZtWtrfWbA9rk2sSLV7zCE6+Ojhqy2XCVjWLz1L1LvBKJBA4eJOIlzvHa9/Hao9B122DOy8PLjQcemMPb3563DOCiYmCAPXjNVLxEFY0Ae4j5XnuAvWB0djoJFhGvvKtgjsqaW1trGB8f95WLeeJlmsAf/MEgAODjH5+3ctOiKF5hiZc7x8vrAU8kEjhxgrnj/8t/yRIz7757rS6Pbny8hLGxEgoF1dEmygtkGtuo4gXsXrixWcTr9a9fxz/4B/aYj8Vi1iRPFhBBihdNkM1UvAD7mZiaqqFcrlljnJ4DQnNDjcHJ9TzxAuzxGcVSAuDNU+1nVrQAB3l5RQ01hlG8aK7KZPSG1VW6BzsJNcbjdhL7HXesO0yGecULsJUft5VET0/jVXx+hMjdr7FaBUolCYpiIpOpV7yIMIhDjeGJlyQ5VS8/E1Wx4tXcOalZxCsej0OWZRw4wObd/VDjDYbp6TjKZRk9PZXQ7Li3t4rf/d2LOHzYSdTCDqrBQXFcmgdNZkeOpHDw4EGMjo5ibGwM4+PjGBlhxIV50gDlctkKN/IVjQB7CGkCI1WIJp+ODjHxWl11Tj75PBsy7e3MHHBiYgLDw8PCRYw3iH300Va88koaHR1VqzeXpmmeEyk/oYyObkFRzG0biuDWLbSgU6jR617E43HcfDMjXhcusM+lsKIbFH50hxvX1hQ8/ngOjz7aiieeyOGZZzJ46aWW7c/3PVVfBKlesVgMuVwu8uS1k1CjH8nmzyMejzt26iLFa2NDxvo6KxjxIis7JV7T0zoWFhihbm3V6ypMRY2ydxpq9Pou2Wy2rk1OI+71gDO/iyDawNju9WKyTQtSW1szFC/2GbbiVWtqqLG/v+xogRMGVExB1YwEuke0MbUbYzsrGt0KaRSEJV6GYTjaBWma817x7vUrK0CpVLPa/oyPl33NU4H68RymstEwDEfRAY39ZibXA96RiKigsU9tZd0bmb0YamyumcYNjiDH+ijIZrO+zYEJQ0PsJ4UTRaAcqYmJDNrbnRNPa+s6WlurWF3VkM+r6OysWe7WbsWLJ14zM3FH1SPXjg+A7cFT4OasSoUtmIpioq2NnYckSejq6kJ7eztmZmawuLhoSfdEvM6dS+KZZ5hS9Ku/OmMl4vrJ8WQpYZomYjETY2MlTE6mMDmZxK23Fj3/jvm4yOjoqFo2C37NeG+7zQ4RJxI63vrWgvC973nPCr7whQH88IetePnlFJ57LoMf/SiHl15qsawj3NhJ7qgsy47JL5vNor29Hclk0lERVCgUcP78+dCfuxPFK5FIWPfEDfc1TqfTDvd6N/gwo2ju5ZNvGyVeMzOG5WDf1aUDqD8PRVEcC5CX4uXn42UYwTleHR3MjiSdTlvXsBH3esDeiI2M2HOBWPHyt5Swc7y8jxU2x4vMNZuZ40WKYFdXBYmECUWJNnY//WngK18p4V3vcm6maHzQxpTuvzvUODDQuC7hH2qkqkYNul6y5th0Wq8bf+6qxnPnZNRqMgYHt9DaGnw96olXcGWjWwmjsd/M5HrAfsb91kmv+YYHzRO0EZmfj8EwYIXh+erdvYJ94sWhmcQrk8lgjndx9MDICHsIw4Qa+YmWEI/H0dnJiNfysuYiXiLFi01m09MxrK8r0HUJ6bSOVMpN6NhPzjrIaluRzdYQizkXQ0VRMDQ0hGKxiGKRESMiXqdOZbbPf8vREsJvciJLCbLHOHp0E5OTKZw5k/IlXu6KxqDqmcOHJWSzNaytqXjrWwuWEaQbfX0V3HrrOk6dyuBXfmWC+94mbr99HblcDZWKjGpVQqUiQdclPPigBtFiHwaSJEFVVXR0dKCrq8tzB53NZiHLsrBtkQg7IV5+E6WIeOVyrMOCSPGyE+vFRSm8l1vUc6Yw9uysaREv6t3nhqqqvsQrTI4XPUctLTVoWv0ioSgKWrcfKKr63NzcbLiyka4dbyUgepaCQo10X/x6KkbN8SoU7EWuUXWV/u7AgS186lOzVqFT1HHwz/858IEPLGBpyXnvecWLTzJ3K14DA42rw36KVzoNxGLMo2xjw7CIF2uQ7fw7TdMcPl6nT7NzCxNmBIIUrzXRn9QRr93w8SKkUilf4tXS0oJqteowqXaDxn46zdoxrawoWF7WrMIfGv97ybl+n3hxiFLR6AdJkkK3OhkeZoN6YSEGXWf2CTxM0yZepI7xiMfj6Oio4fx5tlM7cqRkTSQ0gYhCjTMzcUcJvHt3SkmeVG0DOCsavSZBXp3o7a0gHrdNED/zmSlHA+EgE714PG4Rr7AO9nx7ETqG3847mYzjrrvW8P3vt+P++/37hP3SLy3i1KkM2tqquOeeAt70pgLe8IY1tLSISc+xY8d8P88Pw8PDyGQygaqBJEnI5XLIu5PxPLBTx+iwxKulpQWZDGPtIsWLVJ6gxHqgccVrbk7CPItqo6tLvGt2Xw/3QpVMArJsolyWUatB2AA7KLG+ra3NcR/T6XRTiBdt2gDxQh/UKJsWJL+eimFzvNydcbJZveEwkixTGyQTv/ZrdguZRoicKBQXj5tIp3UUiwrW1hSLcLlzvIaG1EibGv48/casJLEq8vl5GUtLtpVEOl1PVlm/RnK6N3H2LLvPhw6VQpmQ+ile1ao4rcJNvHbDx4sQlCqRzWZRqVR8iRc/VwwOGlhZUTA7G0NXVxW1Gjt/STIbar69W9jP8eIQxcPLD5TsF2aRa2lR0dUF6Lpkhf14bGwo2NxUkEoZwgmSFC/AJloEd1KxJEkYHKQmwjFrghG14qCQ5hq3KSIPr9ZWb+LFT3SKYld73nzzRl0YLwzxIoS1lOBd64HgBzsej+Ozn72KL33pDN7whnXf9953Xx5/+7cv4nvfewn//t9fwTvfuepJuoCdJcjncrnQf9/mJ1m4sJMcL0Cc5yXy2kqlUlaOlyjHKMjDayfEi56H+XmbeHklSotCOzwkKTjcGJTfRWFGAuV5UaiRb1ofBtFzvLwUL8rx8j4WH4b0W3jridfOFrkwVh9h4JUDJbKUEClejWxUwihRbW3UxNvk2gWJxyi1GFpZMSNVNAL114yvbJyZER/PS/FqdqgRCJ6fc7lcYNswfuyTlxfNL87uDDs50+ZiD53Ka4utLQnXrsWhKGbk1j9uRCmDV1XVUrJECfaU+9XXpwtzYWKxmFX2TESK4PbxAoCWFpb/VKvJmJxkg55vF0SgCbdQ4B3Aa9uv1eciENyL5D33FJBM6viN37hWd/5BxIt//fDhEiTJxIULSatqUISwFY38MVpbddxyi3f4kgdz+A/11l01QuURlqRJkrQrxEt0jRVFQVcXGwuijgNhKxoBfzNKEUjxWliQMT/P/i4s8RJdn6DKRqpoFOV3xePxOvWbiFd7ew2aZqBQUPGJTxzFRz5yDL/wC8fxnvecwC//8gRWV+uPZxhiBVxR6kmCX6jRNG1C7HZL56GqNiHwr2p0/tvPGywMRPehmSSIt5TgiZdpsrZxACNeUUm/3zF5UDETr3hlMuJrRvm2KytmpIpGoP468pWNZ8+Kx/P1VLz8Euw1TUMymfSNHsViMcfcQAn2NL/sxXZBwC4SL0mSvixJ0oIkSS9zv2uXJOlvJUk6t/0z/FZ9l3HpUhyGIWFoaKth/yVClKRgnniJEuxpkqXqRxF6e9kD61a8KMeLL6Pnw40vv8wWgLa2qifxIn8ZAFhYsNsFeX039+8ffHAGjz76Im66yRmeUhQlsCKHn1iSSQMjI1vQdckKCYvQiOIVBVHef72IlyzLoZpJN6Mxreh6el3j3t4kJMnExgaruOVB49qLeLk/M8oCaFusKFhclLaPI57cgxQvgM/zEt9Pes5Eipdb7QIY2ae2OBMT7Ll49dU0LlxIYmoqgaWlGM6dS+GHP6yXuPN5FZWKjNZWvW4hdG9k/Bplb23J0HUJ8biBdNqfjA8PswbEbjsOHm7Fy88bLAxExGu3FC8+1FgoKKjVZLS06EilpIaemTAhwI4Odn2WliRL8SLT6vr3srE7NSVjYSGGRELHwEA59Fzkled15kw44mXnSIU6XCTIsux5vajvq6Zpnu9xbwTJy4tEjL1oJQHsruL1FQDvcf3uswAeNU1zHMCj2//eE5ictGPnO0VYxYt28hQyECtetLv13pVS819e8SqXJWxsqFBV0xFKUFVVQLzqS78prLm+bv+e79MYVvECxK1zwkwa7veE8fNyNsgObksRhUh1dnbi+PHj6A1ZZ369iBcQLty4U7UL8A4ripDLtXiGu/wULxEpj0K8bDVDxdwcWROI3xuGeJFxpFeo0a9dkIh4AfY1+2//7Tz+5/88iz/90zP4xjdexbe//TL+8T9meU2nTtXv9GmOIP8/Hu6x7FfVSCpkS0tw9eGf/znw3e8adZXPPNzEq7V1bxAvTdOEioqX4kVzaFcX+91uhRrJY2x5WbIULy9iQ83Gt7bYz0OHSlAUKXDjSvDK8zp3Tvz3PPEyTWYHBABjY6EOFxne84cd5/baWLoJ2ego+66UQ0rh9J8bxcs0zR8CcGfvfQDAV7f//6sAfmG3jh8V586xGxXGsT4IYYkXvW4rXt7Ei5LwRaCyZ5LIAWd+Fz+viry8RDleNOb5xGi+T2MU4iVCmD5dfGUbABw5wiYML+K1tSVheVmDqhro6qoinU4HTtZBibCEnp4ejIyMQJIkDAwMYICawXlAkqRddaB3o7W1NfB4zVC8gPp75zVxptNpqxSeV12qVQlLSxpk2bRabvEQ7W6jEK9YzEQuV4OuS9bi0t8vfn6ihBq9vLy8rCQymYzn4mibzOq4444NnDhRxPh4CUNDZdx9N5NARL1BReapBPd188vxooWJ9d30f0aOHQPe/W7/97S0OMfeThWvMOa2YSBJknDseOV4UdSA2Y/sJvFiP5eXJcsr0Yt4pdMakkmbOIyPlxCLxULPL16K14ULcVy4cAFzc3NYX1+3igh44rWwoKFYVNDVZfoS753Aa/7gyZZXuNE9F5GJqijHay/helc19pimObv9/3MAPPahgCRJvwrgVwG26J08ebJpJ7GxsVH3eT/96XEAQGfnLOYpI7cBSJKEp59+GgAbwH7uwLIsY3l5Gevr3QCO4epVo+7YV66wS1Qun8fJk7OCTwE2NmIAurdzWtjfnz/PmFMqtYGTJ5+z3lupVNDS0gvAbmYmy8t46aVlxwPK4vpvxvq6ZF2r8+fHAaQgyyv4yU/OeT74YfzL8vk8Ll++LPguznuztbVlTQg9PTUAg3j5ZVV4j65eZQ9nd3cJS0vzWFvLY3ZWfM14lMtlh2eWG5qmYX19vc4vq1arWV0C3JAkqaljNgyCvsfS0lKo6yECf1/4cc2PdxGSydsAxHHpUgGxGCMUs7MpmKaEzs4Slpfr76OqqnVWLJVKxbfFiRutrSUUChlrAzI9/RxOnqz/e13XrcpZSZLw+OOP172nXD4OoAvT0xvCcTc72wcAUJRlx+urq6uYmZmpez/ATCq9KrXa2iTE44dx5UoCk5N55HL2GKPk6nh8ASdPXgBg3xv+uwC0gB5CPq/XnfdPf0r5n6t4/vmzO1Znp6c1APdY/15bu4KTJ680/Hmi+53P53H69OnInyV6LlQ1DqAfU1M1XLx4ETMzMyiVSrh4kd3LVKqAkyf/zvcZ98L6OivSEa0zhFKpD8ARXLq0BkUpAhhAqTSHkydfrHtvrVZDS0s7SiV273t6FjA9PY2lJf8qbIL7+7Nq48M4fz6OM2fOOnJvZVmGaZqWd9ZzzzGG2N9fwMmTp0IdLypEz4Isy/jRj35k/ds0TcsYnEehUHCMXbbBexNmZzXMzc1jaooRMFW1n11d16/73OzGa2YnYZqmKUmS57bINM0/AfAnAHDHHXeY9957b9OOffLkSbg/79o1tpDccUccPV5xiRBIpVKYmGA+T4uLi7h69arne7PZLMbHx6FpwOc/D+Tz2bpjr62xbdA733kE9957RPg5hw4xrTqfT1h/f+4c+7uxsYzju167dg2XLzuJ0YEDKbzudQcsryEA2wZ0Jra2VNxzz1uhaRJ+53fY3w0Pp/DmNx/z3A2+8MILgSXYo6OjwvCY+96cO3fO8iV7wxsYMbx8OYeOjp660v7Jydz2+dXQ09ODY8eOhVLWLl++jGVqQunC0NAQun2SW/L5PC5dulRn8qdpGm6++ebAYzcTQeOts7MTI5R9GhH8fVleXrZIc0tLC44cEY9LAOjpKeL8eUDTutHTwxSZq1fZTnZgoCZ81kTXfHZ21pPEiI9r4sr2ui/LJt7//rsRi9WrNsViEWfOnAHA8oFOnDhR957RUeCJJwBNaxcm6ZdKjPCPjKSt7yPLMm655RZPQqPrOk6d8l7IbrppE889l8HMzAEcPmxXAxeLLHR55509uPdeJpXTvSmVSnj11Vet9w4Ps7FfLifrrnM+z67vkSPA61//eoejfiM4d27V8e9bbhnB8eMHG/686enpOvLtNWcEQfR8j4ywa7O1lcHAwABOnDiB559/HtUqIxpjY2nce++9WFpawpUr4Qmkoii49dZbAYjXGcKVK4xo6HobMhmm+Bw50od7752oe+/y8jLa2kwsLrJ/3367anUMCYPz58+jwDlhd3dj27tQg6IMOhrdu0Hj5I1vbPX8LjuFYRh44YUXHL/r6+tDv6vT+SuvvFJH0G677TbHM2aaQDptoFhUkUz2g9LIe3o06xnI5/O79l3C4npXNc5LktQHANs/G2tw2GTk8yyxPR43rDBco+AX+rChRt5x1w07tOD9OZ2dccTjBkolxQqHkGQu6k/n/o6iUCNrssvI08oKOSdTn0bvqkYgXFgobH4CHz7JZnX095dRLstW420e09N2RWMsFgtFutzH4DEyMuJLugCWWzU+Pl4nl1/PMCOh1c+QCc3J8QKcoYGg4gWyJfmjPxrAb/7mKD73uQP40z9lOXJhE+uBxr28AJbDKCJdgPOaeI3psKFGPrk+lUr5qkiKovgmYd9yywaA+nCjyDyVUJ/j5R1qpOfnwIGtpowLPtSoqgZSqZ2N/2ZVNQLiuYZyvFZWWI4XNcumHK++Pkawo467MIn1ANDTQ/O0YplUe1WXqqrqCJUdOhSuopHgV9lI7Ye8QL2Ljx8PfbjIECXY5wTtFNx5Xu6KRoB9N7JMmp2NWWOfwu57BdebeP01gAe2//8BAA9d5+ML8fJ23eXYWGnHXh+NEK++PrYrX1lRUa3aD59p2u2CBge9Pycej1neRTRxUIjFLSiwMv8qVNVWpERVjYBdZUPEi/o0+vV2A5pLvNwTjJ+RKp9YL3pwwx4DYAamnZSIEYBMJoOJiQkcOnTIUg6uZ2I9QdM039LrZuV4UesgIJh43Xwze9/kZAonT7bhkUc68Hd/x9RY8nhzw8srLAp44kV2KyLwn+tFQGi+93KAFyXXhyH9fiqTF/GizRklEfOQZdnxXPlVNV69yha64eFyU4hXOi2DAhjZrA5V3dlnNsvHCxA/35TjtbLC+iW6TaepYCnquAtLiLq72fyQz8tWcj2ZVrvB92vs7S0jm9V3RLwA4OBB28HeD5cusXGyAy/oUODnEVVVhfOKe27zesYo/3FuLmaN/bC9l68Xdi3UKEnSNwDcC6BTkqQpAL8N4P8D8OeSJH0awBUAv7Rbx4+Cn/6U/WxGq6Aoxo/0UKsqa+g6NcWIFrX1WVtTsLWloKXFQC7nvZCzfok1TE/HsbysYXi4XOdaT1AUBYrC1IZr19hD1doqbmhLJogrK+wn+Qp1dvrvZoO+t1fCqwjZbNbRr+vIkU384AdtOHMmhfe9z1m7wbvW53LhSBNQP1kODg6iq4FM0lwuh1wuh7W1NYe0fz3R2tqKjY0N4WvNIl6SJCGRSKBUKgUSr9/+bQ1HjpzG2hozAt7clLG5qUCSgPe+tz6869U4PbriZZOtIOJF48vr+lDSs6iq0TRt4sUn14chXi0tLZ4h7ptvLkKSTJw+nUK5LFkWNyLXeh7xeNzKSUqndUiSiWJRcXTFqNXs1lrDw1tN2SQoioxEgqnuYSolgz+vOVWNgL/iRR5slBtnK17sfbtFvHp71e3jK6A/of63bmiahlyObTjHx0uRjgOIrxutdX6Kl2nar18P4rWy3ZMuk8kIIwZuxctLXaQI0sxMnKtq3Ft2ErtGvEzT/GWPl96xW8dsFES8mmklAYRXvAAWSpyaYjtaIl5hPLwIPT1kyOdUvEShRoCRk2vXEtsViuKHkxac1VUThmGXoJOvjBeCFsmwahfAHq6enh4r34MsJZ5/PgPThCMxlMxTBweroXyt+GMQ+vr6dpTjBzCymN0N05sQaGtrw9TUlPC1ZoUaATbOy+VyYGhF0xTcfruBra3gggv6XPHnNB5q7OryzzekRtmNhBqLRda0OJnUrabswM4Vr0xGx9hYCefPp3D6NOtPurXFuluoqmkpMm4kEgkruVuWGfna2FBRLCrWrn96Og5dl9DbW95uPr3zccGsWxjxymbFG7ko2O1QYyajQ1UNFIsKtrYki3hRZThVwUY9ZthQI7mMrK6qViub9nbxfVBV1Qpj0xoVhXiJvgPfs9ELi4saNjZUdHSYVmPv3QK/gfOKVpCfF+V5eT1jfGXjXq1q3HeuR/MUL7fHUVTiBTi9vGziFXxs4go0cYhc6wF7QiNyR7t00URHJeGrqyaWlmowDNZQO5n0/17NJF4AI0P0N7ffvoG2tirOnk3h8cftB9Q07VDjkSP1sX8/yLIMTWPJl+6EzhsNsVjMU4VqluIFsEmPDzn6IQoJbhbxotA7AHR3+xMvui5BoUaRcz0pJm7z1DDEK5lM+o7TW29lyiX5eS0sUJsl7+4JXnlefJiUDzM2KyTOmn8b1jF3SuaarXi5x6kkOVUvt+JFFj2KokTK1wxLiOJxRop1XcLsLDuWV6hRlmX84i+u4CMfWcCHP7wITdMi3TfRdaMcrwsXEvCqg+LVrt1OWeXnWqEfcQAAH45JREFULL9NKx9u9CK5vIkqNYLfJ157ENksewh2qnhFzU3hHwhRgj052Q8PB4/6/n6niapXcj0dk/rEUa6D6EGmjUc+b2J+nk1Sra3ervWEIGIVlXjJsozBbfaZShn49KeZJcIXvjAAqjgvFFgoq6WlhuHh6E3FBgcHrWPc6PAy7Wwm8UqlUoFhRkJQgYL7c0WI2u6IV7zCEq+gUKOYeNWHGWOxWOhz9c/zYm2sKM+LNmWDg96LSBgvrytXGDkYGWlOYj1ACdI28dopoQvjrxYWQV5ey8sqyuUytrbIdNpAd7d9/CjPTVjFix2fHPOl7X97H2dkxMC/+BfX0NNTjdxtQ3TtOjpq6OqqYGNDtQxS3bh0ia1nx47tfqGQoiiIx+NIJpO+6wu/ifPa3NgmqjHOuX6feO05fPe7wLPPnnXkhTQC0UDwG0QixYtvGxTGPJVA0jgRLr/kesBW9/r7vQ0UiXitrppYWNC3f+cdkiE0W/ECWAiNdkIf+tASBgbKuHQpiYcfZiSDclb6+yvI5aKH+drb2yP/zV5FV1eXMMm+2YpXWOKVSCRCFzv4KUWNtA0CvF3rCUHEyy/USOFtvtl32GpaIFyC/UsvtcAweOLlTSTDVDbSQjsy0pz8LoAUL906ZrNDjTsdu0F5XuWynRfb0VFDLBY+csG/LwpBbG+372MiYSAe975m/Dk0g3hJUr2i6gYpXrtZ0cgjlUoFpmgQ8RJVNBJI8Zqdjf9ctgy6oSBJ9XJq2IWFEFXxEhOv+lCjn5UEYXCQDbClJQ26bpe4u3PE6ZhvfOMa/uN/vIjPfGbKcwCTO0GhAIt4tba+NsQLYJWGbPdq4td+bRoA8MUv9mNrS7IS64eHa5Enpp81SJKEAwcO1E24zczx0jQtUh5bmDZLlLTvd8ywYJV1ZLzrnyMZNtQoSq4nwj84aFu0NIt49fVV0N1dQaHAVIkw1jLubg+kePGhRiJezbKSAOwcL4B5RDU71LjTzxMTL6fiZbvWVx3XMOy4izrv8MQryO6g2cQLsInXCy94ES9SvCIdrmGkUqnADZqmaZYy5oWeHljN5wuF/VDjDYVcLucZsvHCbhGvMBGwoSE7xFgoqDAMCe3tJtxzhizLkCQJsgzcd18enZ3ekyQRr9XVcH0aCbtFvOLxuLWAv+tdeUxMFLG4GMM3v9lt5XeNjl5//6y9iHg8jiFuhaa+oM0+Rli0tLT4Wl3Q5/nl00RRPWTZzvOiMHzQ5wYpXiI7iZ0SL79rIkm26nXqVAtX0ej9eZIkBVpKEPFqlpUE4Aw1NqOqkc1R9mfs9DxFY5Xy8vJ5zdGnsbPT7XIfbtxFCTMCdoI9AGQy/uFwfk5tNvEStaYyzetnJUHIZDKBcwS9z+9ayzLQ38/urWGwRvBUFbxXsE+8PNDX1xfZzVk0GLweWvdCKGqUTR5eYRQvSgZdWtKwskJhRvGCE3Y3Scmea2sSlpftPo1BxEpRFN+JdyeKVG9v77bMDHzmM0z1+spXevHqq+T+HC0J+2cZHR0dltN3M8OMjSJI9QpKwo+aYP/rvz6NT35yFkeP+hMvGv9ez4FtJ1E/pol4DQ01RrxUVfXdiNh+XmmOePlP2/w85G6UvbEhY3mZmUX39laaRsYlSbKq85oRagTCmduGhb+JKvts24KnMeIVdV7r6LDJAJlVe2E3FK9Dh0pIp3VMT8ettYawvKxibU1FW5uJEGJ1U5BOp0MX6wQ9Y3we5F4zTwX2iZcQmUwG6XQayWQydEWLV0Kt12Lhfpi7uoB43MTamopSSd42Tw0fauzqAiTJRD6vWn/nldNc71IvHgZtbey7r63BaleRy/m71hP8FsmoCygPWZatkONdd63jDW8oYGNDxQ9+wAjG0aM/32FGN0ZGRiIle+8mcrmc54SZSqUCixuijpt3vSuPBx+cCTTzDJ/jFax4BYVLRfBbRPg8HCJeo6P+zx+/MLtzvKiicWhoC7Lc3PDzffetYmKiiNe/fq0pnxvG3DYs/EKNVAFOild3t1Md2S3ixc/PZFbthd0gXoriVFR58GHG16AJhy+CFC8AGBqyryeZz+4l7BMvAWhnzhJGw+1evd7n9dC6f89aHbARPj+vYXVVRbkso7XVRAj1FarKcgZMU8KFC9RM1eu94SqGqIVFoSBz7YKCQ42A9yIZtRRahFwuh4mJCaRSKfyzfzbteG1sbI/NEq8xFEXBgQMH9oTiBUDokRaLxXDo0KHAcdEoYQ9r6+L1Pnr+NjcVR+l9qSRjaSm2XQXHkuvDWmzw8JtjDh0qIZnUMTWVsMLpBw/6fx9+UXLneNmJ9YwoNpN4veMd6/izPzuDgYHmKGn8ue1GqLFe8WI/e3ud6tNuhRq7uuxxksmEz0OM+ixTeokI3sSLwox7bz7VNC0w/5oPx++1/C5gn3jVwV1ZETbBfqfEC3B6eVF148BA+Ng0mahOTvoTr7ChRjL0W1+XkM+H69NI8AqfNJrf5UYymcTRo0fxjne0473vtR3sG+wB/TONTCazZ/zJ2tvbHWNAURQcOnQoFKlqlDwGLdqqqvouTsyIlD2HfLiReoMODFQsV/goYUaC39+oKnDiBLOV0HUJ2WwNQbZo/OfVEy/bsR5obmsr/rNujFCjWPFyz5u7pXh1ddnXKKjol86h0TSNoDwvP8VrLyJoc3PwIE9q94nXnkcf9YrYRtg8r6jGj37Ea34+xllJhN9x9PayxeHcOXYuOw01UnL9+rps9Wlsbw9HBL2+d7OIF8Aevt7eXvz+76eQSum45RYTETedPzcIk7R6PSBJkqV6SZKE0dHR0GRlNxWvoPeI2gbtNLE+7N+QKgHYScN+SKVS1sLkDjXyVhJAcxUvfjFsxuc2U/ESeXnZdhLOHC93MUbYTUHUc6R+jQACyfRuEa/jx4tQVQPnziWxsWGfDyXWXy8riWZjdJS/tvuhxj2NRCKBVmIb27ieihefYG9bSYQnXjRhkPHdThUv2oWtrclWn8awhZ7Xg3gRJiYSOHtWwaOP7j1ZfB/16OzshKqqGBoaimRJ0SjxCqN4Bb1H5OVFvU53SryCwpNO4hW8e2cVhuzc3FWNvJUE0FziRRs4SZIih1tFaGaOF1A/91BT89VVFbpuK17kiSg6Dy9EDTMCdr9GwE7r8AKN/WYTr0TCxLFjmzBNCS+9xDZnrEfj3la8gjA2Zs8V+4rXHoeo6iqorQfgn1DbSKiRV7yimKn397OHS9fZQ+yleIXN8SLitbGhWL5ge5F4Aew6RXT/2MdrBFmWMT4+HrkRedACKFrsw7R8URQlkNRlMuwzePf6ZileQQn5J04UIcvm9rH8q98ItGHkqxoNA7h6lUKN7Jx3I9TYrM9sZqgRqCctqsqqtA1DQj6vWiHHvr7oxKsRQtTTYx8niHjtluIF2MSe/LxWVpj/VTZrYo9kKETG0JBsPTP7xGsPIx6PC93LmTGg/2Tqt2NVVVX4WhDximIlQSBLCUJYxctrokwkmBFdtSpbkxKfl+CH60289nFjIao5McCeRa9FMJlMWtYZPMIoJW7vKxFEbYNsKwlbPWp0fPvNMem0gfFx1mmCVPEg0PXlc7wWFjRsbSloa6taDbN3I9S4G8RrNxQvwM7zunQpCV2XkMvVkE47x9huKV6trbDIQS4XvDlopGKW/3sv3Hab08+LDzPutYrGsNA0oLubbTr2qxr3MHp6ejzJU1CeVxAxEw16f+KlRXKtJ7gFu52GGiXJNvbTdWZEl8mEmwD3idc+dgNe4yqTyQgrJptVkSYKNboVr0YXxTB/+653sQKSN70pquJl53iRlQTldwG7o3g1i8xdD+JFJqpUkNTRURWOmaBx1IgSpSjMnoedRzDDUVV1VxSvm29mxOuVV9KoVOyq+L1Y0RgFAwPs3u77eO1h+CUfBxGvRowfw+d4+X60A666gB2HGgGnozIzTw23kO12VeM+fj7h7bWVQSqVqnsWwy7YQQsafSwpXrUae04lyUR/P7OSaCTMSAj62098Yh4nT76Au+8OtxgS8Uqn2aJTLCq4fNlpJQHsTo5Xs8gcf693I9QI2D09qSCps7Maer7m0SjpbmujVmzB9yEWi+1KnmNrq47R0RLKZRmnT6euu2P9buG229i9HRvbCnjn9cc+8QoBv7CILMvCEAePsDuoXI5N8FtbitV8N0qOF694pdMmvPhi2FAjOyeT+/9g13r+M0XH2St+Uvu4MeE1/mjj5Fa9mq14EfGanY1D1yX09FQQi7FnZDeJlywzd/Moz18ikYCqAqmUDsOQcPo0m8fISgLY28Tr+ipe7Np0dtaE5x903RtVokZH2fHHxoKvWdROKjxE16+3t9cqbuFtJSix/kataCR87nMbePjhlyw7lr2EfeIVAolEwicBPReqairM7wBb4TJN1msxSioMr3h1d3vvjKM0oOWN/cL0aeThnqx+3ptX72PnEC2AyWTSGpdud/xmeTC52wY1K7GeP34YwhJF8aCFmsKNr7zC/r1boUZK1Wh2qNHPYy0K/HO8GPHu6hKHpfzG0U5Mof/Lf1nF1752BkePXl/ilc1mMTAwgMHBQUiS5CJePxuKVyoVQ29v9bU+DSH2iVdIeKleYRppR5Gu+dBiFCsJgDlsk9GjV34XEI14ORWvcOapBPf33g8z7mOnED1L7vAir3qFJQFBC7tb8bp2rbnEK8zfR1WM3Qn2RC7ISgK4MRSvZqnksix7enlVq+ycyYTaDb9z2Ml97+yUcfPN4cjBTrz4+Pscj8cxOjoKgJ17R0eHlWD/4x9nsLqqIZMxI0Vb9iL28nqzT7xCQrTbUFU1lA+RKKfKa6LniVcjA59ULz/iFSXHq9FQI7BPvPbRfIgWQDfxam9vt8ZesxZtd79Gt+KladqOjxW0gEfN73FbSpimBEUxMTBQsd6zl4kX3yanWXDPQaR4EXp6xAbRu0W8ohiv7mT+pPOXZRljY2OOY/b396O/v4aengq2ttjv92KPxqjYSU/g3cY+8QoJkeLV3t4eSgJ3P7R+DzFfLh4lsZ7Q2+vv4QVEy/HieWXYPo2EfeK1j2YjjOIlSRK6tx+AZi3atp2EONS4U7ULCM4za5x42eGz/v4yNI2Ri2YZnRJ2q6pxd4mX02qAun+4sZvE63rkvdI1HBkZqTtfTdPQ19frMOq90Ssagb293uwTr5AQKV5hwoxANOLlDDWGOzceYRQvSZIcZMu/4oX/fz3SJLhPvPbRbLjHVCqVEo7Jrq6uhhoKe8EdatwN4tVsxYsS7Plyej6/q5mEBmi+jxfQWFNoPwQpXgIPbQA/G8Srp6dH6FUJsPD8HXeUrH/f6PldAPvOzRyLzcTePKs9iFgs5nhAEolEaBNI94S5m8RrfJz9HBvzfx+fuOoHnni1t4fzECK4J7l94rWPncL97HhZuSiKgo6OjqaRCz7UaBjA9PTeJ14AI6ZO4mXnpDV7wW92qBFg97GZBNFdROFWvNwm1AS/a78T/7ZGejw2gkQigYGBAc/XZVnGu99tiws3ekUjYa+uOfvEKwJ41Sus2gX8/+3de5Ck1V3G8e/T3XPpmb3MzuywYXd2F1CCrgFz2ULISmqJqRSXyCpS5OIlFY2UVUZiSiuiVsVYVv6IlTKaGGNRAUWJWSwSCSYRTEXQWBKKABECiBCEhPsuQpzVZGZ35+cf79vsu7M9M93T3e/79vTzqdra6ct2n92z5/TT55z3nNWPeK1mjddVV8FNNwXveEdrZVqp0WePspiaam/42SNe1m1DQ0PHTY8tt+B4y5YtXVvncWzEq8LBg0PMzVWYmDjMunXJl5FuBK+V1omt5u8yPj5+3FRjdiuJdvqwVnR7qrHxWr2caqzXFxgZWUgfW2Bysvl7LVUvrV6NupS8RrxauTJ0z54JJiaOIAVnntnzIuWirJ85Dl5tyI5wLTVk20yeU43r18O+fWKl/2+trp84Pni1V5bsB4WkUi92tP6RbT/LbV48PDzc0WhE1rHtJKqZo4KS0aNOjnJZbLkAt5pjlpJNZU+caqxUKmzevLn9Ai6jF1ON3Q4miz+IpWObqCabp7Z+ti50HrjzCl6tqFbhhhvmuf76+b6/orGhnc/pPJWjxvvEsX1x1reVpBvnNUbEy7eXUq/DWWfBc8+1fi7barQ61bhp07HHOwlei0cqzFarVqtx+PDhJdd39UJ2jdfi9V2djnpk1et1ZmdnT7h/ZGSkpSuoF0uC18GXbze2kpicnPRUY2rTpiM8/fTIkscFQe+CVyvnhObpzW9uP9yX2dTUFLOzs7zwwgtFF+U4HvFqQ+Mb52qG6Ns5/uKOO+Dhh1lx1KoTrY54Zc8Qm55uLzhld68vU+di/a0R6Fc6qqubsmc1Lt7Dq5P9lRZb6oP8pOUuU15GpVJ5efpsbOwoU1NHOnq9ld4Lyj3V2GwvtMYC+82blw5ekpqWI4+rWa0zO3bsKN2/sYNXG4aGhhgdHV3xiKBm2gleY2PJ8UG91Ooar8aIV6USTE21/w258SHpXeutW4oMXs1GvFYzErWUZh8Q1Wq1o2nBk05K2u3Ond9PD75f35XAsFivRry6PTK31JYSywUvaN5vd+Pf0X1jb1UqFU477bRSXeFYnpL0iW3btq2qArt94GunWp1qPPnkKiMjC2zdOsfw8OqDl0e8rFsa09bdHGla+T1hdDRYWBDf+lbyYTszM4ekrgavZh/kmzdv7uhD47zzKlxyyUGuuOIZoDejXdC7NV7dnk5eHHROPjkJ0Fu3zrcVvBrbdXSqTIFgrarX68yUaOFa8Qmgz0xk91doQ3a9U5mC10qd2rp1cM01j1CvH6ZWa/8/biNwOXhZt9RqNer1em7ruxqSA+zh8ceTD9uZmTnGx8e7PrU2PDzM/Hyyu3x2M9jV2rRpjA984D+BpB1u7NFwej9MNUIyNfziiy++fPvyyw8wOXmEiy6aBZbu4xZfHFS26Stb3vT0NLOzs8fVfVEctXNSthGvdo7jOPPMOXbunFvVVYke8bJuGxoaynWasaHxlgsLol4/yuTkkZ6EmOyo18TERMdtJ3s15PT0dM8ucumXqcbFI5QbNhzl0ksPHnchUTOLy9GL6VrrrZ07d5biIi8Hr5xkG23e39SbaXWqMfvc1XSADl7WbUUFrw0bjnXY27fPIdHz4NWNacFqtcro6GhPtpDI6tXO9d3uL0dHR5v2Ryv1bw5e/a8X/59Ww8ErJ9kRpjIk7nbOQXPwsjIZGhrKdX1XQzbrbduWjAD34sO38ZrJrvPd+XuOjY31ZAuJrF5MNQ4NDfVkDVSzwOzgZXlx8MpJI4CUYZoR2gtejV2PV9OhNnbj9gJS65bR0dFCvrVmg9fMzFzP1ko11g5tWe7A1TaNjY31bFF9Q6Of6OYXy159YWt2QYSDl+WlHClgADQabVmCV6McrU41rnbX+aGhIY922ZqwOHh182rGrHq9zvDw8Kq2rVnK1NRUz/ueSqXS9S9YvTrtYv369cdtag3tBa9areaTOGzVPAyRk7IFr3anGldb7uHhYe9TY2tCNmft2DHfs+AliZmZma6OHOXR70jqm5HtarV6wjTuSkEq+7hHu6wT/dFK1oB+nmrsJHhJcidla0J2xOuVr+ztIt1ujnblRVJp+rdWLA7O7Yx4uU+zTjh45aSxqL5MHVO1Wm3pG2qlUuloWL1xxqVZP2sEr1ptgTPOWFtn2nVLmfq3lSxeo+fgZXlx8MpRmU6ih9Z3he50Lx0HL1sLGgMkW7fOMznZ4zO9+lSZ+reV1Ov1tja2zq5hc/CyTjh45ahswavVPU06DV5l2DfFrFONEa8dO+b9wbuEMvVvrchON7ZS9sZzXP/WCQevHJUxeLU61VimcpsVYc8eeMUrjnDJJfNFF6W0+q2fyE43thq8RkZG+uYiAiun/molfa6xp1VZDA8Pt3TlVFk2fTUr0q5dcM89BzzasYwy9W+taGwr0Wof5+1xrBv6q5X0ubKNeLW6YL7VkTGzta5WqxVyXFG/KFP/1oparcbY2BhHjx5t+fkOXtYpf5rmqGzBq9UOxFONZokNGzZ4zeIy+rGf2LhxY8vlrtVqHvG0jhUSvCRdIOlhSY9KuqqIMhShjFONrehk53qztcSbAS+vTP1bqzZs2ODgZbnKPXhJqgKfAC4EdgFvl7Qr73IUoXEGW1m0Grx6dVCtma0t/Ri8xsfHW+6bfRKHdUMRn6ZnA49GxGMRMQ/sB/YVUI7c9Wvw8tSKmbWiH4MXwOTkZEvPW7dunS80so4pe0hoLm8oXQZcEBHvTm//PPBjEfGeRc+7ArgCYMuWLa/bv39/18pw6NChE87psnJw3ZST66W8XDfl5Hopp7zq5fzzz787InY3e6y0X08i4mrgaoDdu3fH3r17u/bat99+O918Pese1005uV7Ky3VTTq6XcipDvRQx1fgUsD1zeya9z8zMzGxNKyJ43QWcLulUScPA24CbCyiHmZmZWa5yn2qMiCOS3gPcClSBayPigbzLYWZmZpa3QtZ4RcSXgC8V8d5mZmZmRfHmTGZmZmY5cfAyMzMzy4mDl5mZmVlOHLzMzMzMcuLgZWZmZpYTBy8zMzOznDh4mZmZmeXEwcvMzMwsJw5eZmZmZjlRRBRdhhVJOgA80cWX3Awc7OLrWfe4bsrJ9VJerptycr2UU171sjMipps90BfBq9skfT0idhddDjuR66acXC/l5bopJ9dLOZWhXjzVaGZmZpYTBy8zMzOznAxq8Lq66ALYklw35eR6KS/XTTm5Xsqp8HoZyDVeZmZmZkUY1BEvMzMzs9wNXPCSdIGkhyU9KumqosszqCRtl3SbpAclPSDpven9k5K+LOmR9PdNRZd1EEmqSrpX0hfS26dKujNtNzdIGi66jINI0oSkGyX9h6SHJJ3rNlM8Se9L+7FvSvqMpFG3mWJIulbS85K+mbmvaRtR4mNpHd0n6bV5lHGggpekKvAJ4EJgF/B2SbuKLdXAOgL8RkTsAs4BfjWti6uAr0TE6cBX0tuWv/cCD2Vufxj4aET8IPAi8EuFlMr+BLglIn4I+FGSOnKbKZCkbcCVwO6IeBVQBd6G20xR/hK4YNF9S7WRC4HT019XAJ/Mo4ADFbyAs4FHI+KxiJgH9gP7Ci7TQIqIZyLinvTnWZIPkG0k9XFd+rTrgJ8qpoSDS9IMcDHwqfS2gDcCN6ZPcb0UQNJG4A3ANQARMR8RL+E2UwY1oC6pBowBz+A2U4iI+BfgvxfdvVQb2Qf8VSS+BkxIOrnXZRy04LUN+E7m9pPpfVYgSacArwHuBLZExDPpQ88CWwoq1iD7Y+D9wEJ6ewp4KSKOpLfdbopxKnAA+It0GvhTksZxmylURDwFfAT4Nkng+i5wN24zZbJUGykkEwxa8LKSkbQO+Czw6xHxP9nHIrnk1pfd5kjSW4DnI+LuostiJ6gBrwU+GRGvAf6XRdOKbjP5S9cL7SMJxluBcU6c6rKSKEMbGbTg9RSwPXN7Jr3PCiBpiCR0fToiPpfe/VxjqDf9/fmiyjeg9gCXSHqcZCr+jSTriibSaRRwuynKk8CTEXFnevtGkiDmNlOsNwH/FREHIuIw8DmSduQ2Ux5LtZFCMsGgBa+7gNPTq02GSRZA3lxwmQZSum7oGuChiPijzEM3A+9Mf34n8Pm8yzbIIuK3I2ImIk4haR//FBE/C9wGXJY+zfVSgIh4FviOpDPSu34CeBC3maJ9GzhH0ljarzXqxW2mPJZqIzcDv5Be3XgO8N3MlGTPDNwGqpIuIlnDUgWujYgPFVykgSTpx4GvAvdzbC3R75Cs8/pbYAfwBHB5RCxeKGk5kLQX+M2IeIuk00hGwCaBe4Gfi4i5Iss3iCS9muSih2HgMeBdJF+g3WYKJOn3gbeSXK19L/BukrVCbjM5k/QZYC+wGXgO+D3gJpq0kTQo/ynJ1PD/Ae+KiK/3vIyDFrzMzMzMijJoU41mZmZmhXHwMjMzM8uJg5eZmZlZThy8zMzMzHLi4GVmZmaWEwcvMys1SVOSvpH+elbSU+nPhyT9WQ/fd6+k1/fq9c1sMNVWfoqZWXEi4gXg1QCSPggcioiP5PDWe4FDwL/l8F5mNiA84mVmfSkdkfpC+vMHJV0n6auSnpB0qaQ/lHS/pFvS46mQ9DpJ/yzpbkm3Zo4RuVLSg5Luk7Q/Pbj9V4D3paNr50malvRZSXelv/Zk3vuvJd0h6RFJv1zMv4iZ9QOPeJnZWvEDwPnALuAO4Gci4v2S/g64WNIXgY8D+yLigKS3Ah8CfpHksOlTI2JO0kREvCTpz8mMrkn6G+CjEfGvknYAtwI/nL73WcA5JAck3yvpixHxdG5/czPrGw5eZrZW/ENEHJZ0P8mRYLek998PnAKcAbwK+HJyUghVoHEu233ApyXdRHK8SDNvAnalfxZgg6R16c+fj4jvAd+TdBtw9jKvY2YDzMHLzNaKOYCIWJB0OI6dh7ZA0tcJeCAizm3yZy8G3gD8JPC7ks5s8pwKcE5EfD97ZxrEFp+95rPYzKwpr/Eys0HxMDAt6VwASUOSfkRSBdgeEbcBvwVsBNYBs8D6zJ//R+DXGjfSA6sb9kkalTRFsij/rp7+Tcysbzl4mdlAiIh54DLgw5L+HfgG8HqSKcfr0ynKe4GPRcRLwN8DP91YXA9cCexOF+A/SLL4vuE+4Dbga8AfeH2XmS1Fx0bjzcysXTlvcWFmfc4jXmZmZmY58YiXmZmZWU484mVmZmaWEwcvMzMzs5w4eJmZmZnlxMHLzMzMLCcOXmZmZmY5cfAyMzMzy8n/A8Vo9VUGE12oAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','VelocityOfMoney')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "first_five_plot(subset,'timestep','timestep','AggregatedAgentCICHolding',5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles_annotation(subset,'timestep','timestep','AggregatedAgentCICHolding')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','AggregatedAgentCurrencyHolding')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_median_with_quantiles(subset,'timestep','timestep','AggregatedAgentDemand')"
-   ]
-  }
- ],
- "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": "3.7.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Simulation/.ipynb_checkpoints/Grassroots Economics - CICs V0-checkpoint.ipynb b/Simulation/.ipynb_checkpoints/Grassroots Economics - CICs V0-checkpoint.ipynb
deleted file mode 100644
index 23a5ead..0000000
--- a/Simulation/.ipynb_checkpoints/Grassroots Economics - CICs V0-checkpoint.ipynb	
+++ /dev/null
@@ -1,532 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Model Specifications \n",
-    "\n",
-    "<!-- ![](images/differentialspec.png) -->\n",
-    "\n",
-    "![](images/SystemStockandFlow.png)\n",
-    "\n",
-    "![](images/graph.png)\n",
-    "\n",
-    "## System Definition\n",
-    "Reserve $R_t \\in \\mathbb{R}_{++}$ at time $t$ is the total quantity of reserve currency tokens bonded to the bonding curve contract.\n",
-    "\n",
-    "Supply $S_t \\in \\mathbb{R}_{++}$ at time $t$ is the total quantity of community tokens issued by the bonding curve contract.\n",
-    "\n",
-    "Spot Price $P_t \\in \\mathbb{R}_{++}$ at time $t$ is the estimate of the value of the community token, in units of $R$ per units of $S$.\n",
-    "\n",
-    "\n",
-    "The system level state is $\\bar x_t := (R_t,S_t,P_t) \\in \\bar{X} \\subset \\mathbb{R}^3_{++}$.\n",
-    "\n",
-    "The agent level state is $\\hat{x}_{a,t} := (r_{a,t}, s_{a,t}, p_{a,t}) \\in \\hat{X}_a \\subseteq \\mathbb{R}^3_{++}$.\n",
-    "\n",
-    "The system state is $x_t = (\\hat x_{1,t},\\ldots \\hat x_{n,t}, \\bar x_t) \\in X \\subset \\mathbb{R}^{3(n+1)}_{++}$ and lies in the Cartesian product of the system-level state and the agent-level state.\n",
-    "\n",
-    "\n",
-    "Conservation Function is:\n",
-    "\n",
-    "\\begin{equation} \\label{vnought}\n",
-    "V(R_t,S_t)  := \\frac{S_t^\\kappa}{R_t} \\equiv V_0,\n",
-    "\\end{equation}\n",
-    "where $V_0 = V(R_0,S_0) := \\frac{S_0^\\kappa}{R_0}$ is a constant defined by initial supply $S_0$ and initial reserve $R_0$. Parameter $\\kappa$ is the curvature of the bonding curve.\n",
-    "]\n",
-    "\n",
-    "\n",
-    "Given the conservation function, allows us to assert that the spot price $P_t$ is completely determined by reserve currency and community token supply holdings and the functional form of $V$:\n",
-    "\\begin{equation}\\label{spot_price}\n",
-    "P_t = P(R_t,S_t) = \\left . \\vphantom{|} -\\frac{\\partial V /\\partial S}{\\partial V /\\partial R} \\right |_{(R_t, S_t)}.\n",
-    "\\end{equation}\n",
-    "\n",
-    "\n",
-    "\n",
-    "## Burn to Mint\n",
-    "The Bond to Mint mechanism takes a system-level state $\\bar x_t = (R_t, S_t, P_t)$ and an agent $a$'s action, given by a bonded quantity $\\Delta R_t := r_{a,t}-r_{a,t+1} \\ge 0$ such that $r_{a,t+1}\\in \\mathbb{R}_{++}$. Quantity $\\Delta R_t$ is reserve currency transferred to the bonding curve, and returns the state $ x_{t+1}$ such that\n",
-    "\\begin{equation*}\n",
-    "    (R_{t+1},S_{t+1},P_{t+1}) = \\left(R_t + \\Delta R_t,\\sqrt[\\kappa]{V_0(R_t+\\Delta R_t)}, \\frac{\\kappa (R_t+\\Delta R_t)}{\\sqrt[\\kappa]{V_0(R_t+\\Delta R_t)}}  \\right) \n",
-    "\\end{equation*}\n",
-    "and the associated updates to the agent-level state $\\hat x_{a,t}$ are given by,\n",
-    "\\begin{align*}\n",
-    "    (r_{a,t+1},s_{a,t+1}, p_{a,t+1}) = \\left(r_t - \\Delta R_t,s_{a,t}+\\sqrt[\\kappa]{V_0(R_t+\\Delta R_t)}, g_a(x_{t+1}, \\varepsilon_t)\\right)\n",
-    "\\end{align*}\n",
-    "and $(r_{a',t+1}, s_{a',t+1}, p_{a',t+1})= (r_{a',t}, s_{a',t}, g_{a'}(x_{t+1}, \\varepsilon_t)$ for all agents $a'\\not=a$ where $g_a$ is a private mapping for agent $a$ and $\\varepsilon_t$ is an exogenous signal.\n",
-    "\n",
-    "* Realized Price is: $\\bar{P}(\\Delta R) =\\frac{\\Delta R}{\\Delta S} = \\frac{\\Delta R}{\\sqrt[\\kappa]{V_0(R+\\Delta R)}-\\sqrt[\\kappa]{V_0(R)}} \\rightarrow \\big(\\frac{\\partial S(R)}{\\partial R} \\big)^{-1}$ as $\\Delta R \\rightarrow 0$\n",
-    "\n",
-    "### Derivation to CIC\n",
-    "\n",
-    "$$\\textrm{CIC Issued} = S[(1+\\frac{\\text{Added Reserve}}{R})^F-1]$$\n",
-    "\n",
-    "Where:\n",
-    "$$ F = \\frac{1}k$$ \n",
-    "\n",
-    "Use:\n",
-    "$$V_0 = \\frac{S^k}R$$\n",
-    " \n",
-    "$$\\Delta S = (V_0(R + \\Delta R))^\\frac{1}k - S $$\n",
-    "\n",
-    "\n",
-    "$$ \\Delta S = (\\frac{S^k}R(R + \\Delta R))^\\frac{1}k - S $$\n",
-    "$$ \\Delta S = S(1+\\frac{\\Delta R}R)^\\frac{1}k - S$$\n",
-    "$$ \\Delta S = S((1 + \\frac{\\Delta R}R)^\\frac{1}k-1$$\n",
-    "\n",
-    "\n",
-    "## Burn to Withdraw\n",
-    "The Burn to Withdraw mechanism takes a system-level state $\\bar x_t = (R_t, S_t, P_t)$ and an agent $a$'s action, given by a burned quantity $\\Delta S_t := s_{a,t+1}-s_{a,t}\\le 0$ such that $ s_{a,t+1}\\in \\mathbb{R}_{++}$. Quantity $\\Delta S_t$ is token supply removed from the system, and results in the state $x_{t+1}$ such that\n",
-    "\n",
-    "\\begin{equation*}\n",
-    "    (R_{t+1},S_{t+1},P_{t+1}) = \\left(\\frac{(S_t+\\Delta S_t)^\\kappa}{V_0},S_t+\\Delta S_t, \\frac{\\kappa (S_t+\\Delta S_t)^{\\kappa}}{V_0(S_t+\\Delta S_t)}  \\right) \n",
-    "\\end{equation*}\n",
-    "and the associated updates to the agent-level state $\\hat x_{a,t}$ are given by,\n",
-    "\\begin{align*}\n",
-    "    (r_{a,t+1},s_{a,t+1}, p_{a,t+1}) = \\left(r_{a,t}+R_t-\\frac{(S_t+\\Delta S_t)^\\kappa}{V_0},s_{a,t}+\\Delta S_t , g_a(x_{t+1}, \\varepsilon_t)\\right)\n",
-    "\\end{align*}\n",
-    "and $(r_{a',t+1}, s_{a',t+1}, p_{a',t+1})= (r_{a',t}, s_{a',t}, g_{a'}(x_{t+1}, \\varepsilon_t)$ for all agents $a'\\not=a$ where $g_a$ is a private mapping for agent $a$ and $\\varepsilon_t$ is an exogenous signal.\n",
-    "\n",
-    "Given these mechanisms, an agent's action set $U({x}_{t},a)$ can be fully determined from both agent-level restrictions and system-level conservation laws:\n",
-    "\n",
-    "* Realized Price is: $\\bar{P}(\\Delta S) =\\frac{\\Delta R}{\\Delta S} = \\frac{\\frac{S^{\\kappa}}{V_0}-\\frac{(S-\\Delta S)^\\kappa}{V_0}}{\\Delta S} \\rightarrow \\frac{\\partial R(S)}{\\partial S} $ as $\\Delta S \\rightarrow 0$\n",
-    "    \n",
-    "### Derivation to CIC\n",
-    "\n",
-    "$$\\textrm{Reserve Redeemed} = R[(1+\\frac{\\text{CIC Redeemed}}{R})^\\frac{1}{F}-1]$$\n",
-    "\n",
-    "\n",
-    "Where:\n",
-    "$$ F = \\frac{1}k$$ \n",
-    "\n",
-    "$$\\Delta R = R - \\frac{(S-\\Delta S)^k}{V_0}$$\n",
-    "\n",
-    "Use:\n",
-    " $$V_0 = \\frac{S^k}R$$\n",
-    "\n",
-    "$$\\Delta R = R - \\frac{(S-\\Delta S^k)}{S^k})*R$$\n",
-    "$$ \\Delta R = R - (\\frac{S- \\Delta S}{S})^k *R $$\n",
-    "$$ \\Delta R = R(1-(1-\\frac{\\Delta S}{S})^k)$$\n",
-    "\n",
-    "## Reference papers by Dr. Zargham and others\n",
-    "* https://epub.wu.ac.at/7433/1/zargham_paruch_shorish.pdf\n",
-    "* https://epub.wu.ac.at/7385/\n",
-    "\n",
-    "\n",
-    "\n",
-    "### Simulation setup\n",
-    "\n",
-    "#### System Initialization\n",
-    "\n",
-    "\n",
-    "#### Agent Initialization"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Simulation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[{'N': 1, 'T': range(0, 360), 'M': [{}]}]\n"
-     ]
-    }
-   ],
-   "source": [
-    "import math\n",
-    "import pandas as pd\n",
-    "from tabulate import tabulate\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "import numpy as np\n",
-    "\n",
-    "%matplotlib inline\n",
-    "from tabulate import tabulate\n",
-    "from typing import Dict, List\n",
-    "\n",
-    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
-    "import ipywidgets as widgets\n",
-    "from IPython.display import clear_output\n",
-    "\n",
-    "# The following imports NEED to be in the exact order\n",
-    "from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
-    "from sim import economyconfig\n",
-    "from cadCAD import configs\n",
-    "\n",
-    "exec_mode = ExecutionMode()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "                            __________   ____ \n",
-      "          ________ __ _____/ ____/   |  / __ \\\n",
-      "         / ___/ __` / __  / /   / /| | / / / /\n",
-      "        / /__/ /_/ / /_/ / /___/ ___ |/ /_/ / \n",
-      "        \\___/\\__,_/\\__,_/\\____/_/  |_/_____/  \n",
-      "        by BlockScience\n",
-      "        \n",
-      "Execution Mode: single_proc: [<cadCAD.configuration.Configuration object at 0x7f7f637eb690>]\n",
-      "Configurations: [<cadCAD.configuration.Configuration object at 0x7f7f637eb690>]\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/aclarkdata/repos/CommunityInclusionCurrencies/v0/sim/parts/functions.py:64: RuntimeWarning: invalid value encountered in double_scalars\n",
-      "  realized_price = quantity_recieved/deltaS\n",
-      "/home/aclarkdata/repos/CommunityInclusionCurrencies/v0/sim/parts/functions.py:64: RuntimeWarning: divide by zero encountered in double_scalars\n",
-      "  realized_price = quantity_recieved/deltaS\n"
-     ]
-    }
-   ],
-   "source": [
-    "single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)\n",
-    "run1 = Executor(exec_context=single_proc_ctx, configs=[configs[0]])\n",
-    "run1_raw_result, raw_tensor_field = run1.execute()\n",
-    "df = pd.DataFrame(run1_raw_result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <td>[{'agent': 6, 'mech': 'burn', 'amt': 8493.3896...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>[530.9524347906868, 6172.526885259749, 14578.0...</td>\n",
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-      "text/plain": [
-       "                                              native  \\\n",
-       "0  [530.9524347906868, 767.4188125782725, 733.768...   \n",
-       "1  [530.9524347906868, 767.4188125782725, 733.768...   \n",
-       "2  [530.9524347906868, 767.4188125782725, 733.768...   \n",
-       "3  [530.9524347906868, 6172.526885259749, 14578.0...   \n",
-       "4  [530.9524347906868, 6172.526885259749, 14578.0...   \n",
-       "\n",
-       "                                                 cic         supply  \\\n",
-       "0  [9587.357534446111, 4868.714330437587, 17019.7...  100000.000000   \n",
-       "1  [9587.357534446111, 4868.714330437587, 17019.7...  100000.000000   \n",
-       "2  [9587.357534446111, 4868.714330437587, 17019.7...  100000.000000   \n",
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-       "4  [9587.357534446115, 0.0, 0.0, 0.0, 0.0, 4463.0...   34301.833135   \n",
-       "\n",
-       "         reserve  spot_price    user_spend        impact  \\\n",
-       "0  100000.000000    2.000000      0.000000      0.000000   \n",
-       "1  100000.000000    2.000000  29113.071395      0.000000   \n",
-       "2  100000.000000    2.000000  29113.071395      0.000000   \n",
-       "3   11766.157564    0.686037  29113.071395      0.000000   \n",
-       "4   11766.157564    0.686037  29113.071395  47064.630256   \n",
-       "\n",
-       "                                              prices  \\\n",
-       "0  [2.595940395058093, 1.4010176731572506, 1.6767...   \n",
-       "1  [0.7557579805938984, 0.4078792754476903, 0.488...   \n",
-       "2  [0.7557579805938984, 0.4078792754476903, 0.488...   \n",
-       "3  [0.7557579805938984, 0.4078792754476903, 0.488...   \n",
-       "4  [0.7557579805938984, 0.4078792754476903, 0.488...   \n",
-       "\n",
-       "                                             actions  run  substep  timestep  \n",
-       "0                                                 {}    1        0         0  \n",
-       "1                                                 {}    1        1         1  \n",
-       "2  [{'agent': 6, 'mech': 'burn', 'amt': 8493.3896...    1        2         1  \n",
-       "3  [{'agent': 6, 'mech': 'burn', 'amt': 8493.3896...    1        3         1  \n",
-       "4  [{'agent': 6, 'mech': 'burn', 'amt': 8493.3896...    1        4         1  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = df[df['substep'] == df.substep.max()]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7f612ffa90>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df.user_spend.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7f61168a10>"
-      ]
-     },
-     "execution_count": 6,
-     "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.spot_price.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7f60a89290>"
-      ]
-     },
-     "execution_count": 7,
-     "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": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7f609fe790>"
-      ]
-     },
-     "execution_count": 8,
-     "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.reserve.plot()"
-   ]
-  }
- ],
- "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": "3.7.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Simulation/.ipynb_checkpoints/abc_sim-checkpoint.ipynb b/Simulation/.ipynb_checkpoints/abc_sim-checkpoint.ipynb
deleted file mode 100644
index ef87877..0000000
--- a/Simulation/.ipynb_checkpoints/abc_sim-checkpoint.ipynb
+++ /dev/null
@@ -1,1326 +0,0 @@
-{
- "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",
-    "\n",
-    "%matplotlib inline\n",
-    "\n",
-    "#import conviction files\n",
-    "#from conviction_helpers import *\n",
-    "#from conviction_system_logic3 import *\n",
-    "from bonding_curve_eq import *"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "System initialization"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "hatch_raise = 100000 # fiat units\n",
-    "hatch_price = .1 #fiat per tokens\n",
-    "theta = .5 #share of funds going to funding pool at launch\n",
-    "\n",
-    "R0 = hatch_raise*(1-theta)\n",
-    "F0 = hatch_raise*theta\n",
-    "S0 = hatch_raise/hatch_price\n",
-    "\n",
-    "kappa = 2\n",
-    "V0 = invariant(R0,S0,kappa)\n",
-    "P0 = spot_price(R0, V0, kappa)\n",
-    "\n",
-    "dust = 10**-8"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "agent initialization"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#number of agents\n",
-    "n= 3\n",
-    "\n",
-    "#gain factors\n",
-    "g = np.random.normal(2, .5, size=n)\n",
-    "phat0 = g*F0/S0 #derivative, integral and proportion\n",
-    "#agents as controllers, co-steering\n",
-    "\n",
-    "#wakeup rates\n",
-    "gamma =  sts.expon.rvs(loc=1,scale=5, size=n)\n",
-    "\n",
-    "#holdings fiat\n",
-    "h = sts.expon.rvs( loc=100,scale=1000, size=n)\n",
-    "\n",
-    "#holdings tokens\n",
-    "s_dist = sts.expon.rvs(loc=10, scale=10, size=n)\n",
-    "s0 = s_dist/sum(s_dist)*S0\n",
-    "\n",
-    "#lambda for revenue process\n",
-    "lam = 200\n",
-    "\n",
-    "#phi for exiting funds\n",
-    "phi = .05\n",
-    "\n",
-    "#beta is param for armijo rule\n",
-    "beta = .9"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(array([1., 0., 0., 0., 0., 0., 0., 0., 1., 1.]),\n",
-       " array([2.8983858 , 2.95780209, 3.01721838, 3.07663467, 3.13605095,\n",
-       "        3.19546724, 3.25488353, 3.31429981, 3.3737161 , 3.43313239,\n",
-       "        3.49254868]),\n",
-       " <a list of 10 Patch objects>)"
-      ]
-     },
-     "execution_count": 4,
-     "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(gamma)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "params= {\n",
-    "    'kappa': [kappa],\n",
-    "    'lambda': [lam],\n",
-    "    'gains': [g],\n",
-    "    'rates':[1/gamma],\n",
-    "    'population':[n],\n",
-    "    'beta':[beta],\n",
-    "    'phi': [phi],\n",
-    "    'invariant': [V0],\n",
-    "    'dust' : [dust]}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "initial_conditions = {'holdings': h,\n",
-    "                      'tokens': s0,\n",
-    "                      'supply': S0,\n",
-    "                      'prices': phat0,\n",
-    "                      'funds':F0,\n",
-    "                      'reserve': R0,\n",
-    "                      'spot_price': P0,\n",
-    "                      'actions': {}}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'holdings': array([1628.962088  ,  609.07074557,  970.43373875]),\n",
-       " 'tokens': array([107809.69284187, 241390.85830628, 650799.44885184]),\n",
-       " 'supply': 1000000.0,\n",
-       " 'prices': array([0.08959197, 0.11065636, 0.06829373]),\n",
-       " 'funds': 50000.0,\n",
-       " 'reserve': 50000.0,\n",
-       " 'spot_price': 0.09999999999999999,\n",
-       " 'actions': {}}"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "initial_conditions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#change in F (revenue and spending accounted for)\n",
-    "def revenue_process(params, step, sL, s):\n",
-    "    lam = params['lambda']\n",
-    "    rv = sts.expon.rvs(loc = 0, scale=1/lam)\n",
-    "    delF= 1-1/lam+rv\n",
-    "    \n",
-    "    #avoid the crash (temporary hacks, tune martingale process better)\n",
-    "    #if delF <1:\n",
-    "    #    if s['funds'] <1000:\n",
-    "    #        delF =100\n",
-    "    \n",
-    "    print(delF)\n",
-    "    \n",
-    "    return({'delF':delF})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def update_funds(params, step, sL, s, _input):\n",
-    "    \n",
-    "    funds = s['funds']*_input['delF']\n",
-    "    \n",
-    "    key = 'funds'\n",
-    "    value = funds\n",
-    "    \n",
-    "    return (key, value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def update_prices(params, step, sL, s, _input):\n",
-    "    \n",
-    "    g = params['gains']\n",
-    "    phat = g*s['funds']/s['supply']\n",
-    "    \n",
-    "    key = 'prices'\n",
-    "    value = phat\n",
-    "        \n",
-    "    return (key, value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#change in F (revenue and spending accounted for)\n",
-    "def choose_agents(params, step, sL, s):\n",
-    "    n = params['population']\n",
-    "    rates = params['rates']\n",
-    "    \n",
-    "    agents = []\n",
-    "    for a in range(n):\n",
-    "        sq_gap = (s['spot_price']-s['prices'][a])**2\n",
-    "        pr = (rates[a]+sq_gap)/(1+sq_gap) #rates when sq_gap =0, 1 when sq_gap -> infty\n",
-    "        rv = np.random.rand()\n",
-    "        if rv < pr:\n",
-    "            agents.append(a)\n",
-    "    \n",
-    "    #shuffle\n",
-    "    shuffled_agents =np.random.choice(agents,len(agents), False)     \n",
-    "        \n",
-    "    return({'agents':shuffled_agents})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def agent_actions(params, step, sL, s, _input):\n",
-    "    \n",
-    "    R = s['reserve']\n",
-    "    S = s['supply']\n",
-    "    F = s['funds']\n",
-    "    V0 = params['invariant']\n",
-    "    P=s['spot_price']\n",
-    "    \n",
-    "    actions = []\n",
-    "    for a in _input['agents']:\n",
-    "        h_a = s['holdings'][a]\n",
-    "        phat_a = s['prices'][a]\n",
-    "        s_a =  s['tokens'][a]\n",
-    "        beta = params['beta']\n",
-    "\n",
-    "        if P>phat_a: #equiv: pbar(0)>phat_a\n",
-    "            mech = 'burn'\n",
-    "                        \n",
-    "            #approx for burn s.t. p=phat\n",
-    "            #armijo style\n",
-    "            amt = s_a\n",
-    "            \n",
-    "            def pbar(amt):\n",
-    "                output = withdraw_with_tax(amt, R,S, V0, params['phi'], params['kappa'])\n",
-    "\n",
-    "                if not(output[2])>0:\n",
-    "                    return np.Infinity\n",
-    "                else:\n",
-    "                    return output[2]\n",
-    "\n",
-    "            if amt > 10**-8:\n",
-    "                while pbar(amt)< phat_a:\n",
-    "                    amt = amt*beta\n",
-    "\n",
-    "        else: # P<phat_a; #equiv pbar(0)<phat_a\n",
-    "            mech = 'bond'\n",
-    "            #approx for buy s.t. p=phat\n",
-    "            #armijo style\n",
-    "            amt = h_a\n",
-    "  \n",
-    "            def pbar(amt):\n",
-    "                output = mint(amt, R,S, V0, params['kappa'])\n",
-    "\n",
-    "                if not(output[1])>0:\n",
-    "                    return 0\n",
-    "                else:\n",
-    "                    return output[1]\n",
-    "                \n",
-    "            if amt > params['dust']:\n",
-    "                while pbar(amt)> phat_a:\n",
-    "                    amt = amt*beta\n",
-    "        \n",
-    "        action = {'agent':a, 'mech':mech, 'amt':amt, 'pbar':pbar(amt),'posterior':{}}\n",
-    "        \n",
-    "        if action['mech'] == 'bond':\n",
-    "            h_a = h_a-amt\n",
-    "            dS, pbar = mint(amt, R,S, V0, params['kappa'])\n",
-    "            R = R+amt\n",
-    "            S = S+dS\n",
-    "            s_a = s_a+dS\n",
-    "            P = spot_price(R, V0, kappa)\n",
-    "    \n",
-    "        elif action['mech'] == 'burn':\n",
-    "            s_a = s_a-amt\n",
-    "            dR, pbar = withdraw(amt, R,S, V0, params['kappa'])\n",
-    "            R = R-dR\n",
-    "            F = F + params['phi']*dR\n",
-    "            S = S-amt\n",
-    "            h_a = h_a + (1-params['phi'])*dR\n",
-    "            P = spot_price(R, V0, kappa)\n",
-    "        \n",
-    "        action['posterior'] = {'F':F, 'S':S, 'R':R,'P':P, 'a':a,'s_a':s_a, 'h_a':h_a}\n",
-    "        actions.append(action)\n",
-    "        \n",
-    "    key = 'actions'\n",
-    "    value = actions\n",
-    "    \n",
-    "    return (key, value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def resolve_actions(params, step, sL, s):\n",
-    "    \n",
-    "    H_a = s['holdings']\n",
-    "    S_a =  s['tokens']\n",
-    "    \n",
-    "    actions = s['actions']\n",
-    "    \n",
-    "    for action in actions:\n",
-    "        a= action['agent']\n",
-    "        H_a[a] = action['posterior']['h_a']\n",
-    "        S_a[a] = action['posterior']['s_a']\n",
-    "    \n",
-    "    #last action only\n",
-    "    F = action['posterior']['F']\n",
-    "    R = action['posterior']['R']\n",
-    "    P = action['posterior']['P']\n",
-    "    S = action['posterior']['S']\n",
-    "    \n",
-    "    return({'F':F, 'S':S, 'R':R,'P':P, 'S_a':S_a, 'H_a':H_a})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def update_F(params, step, sL, s, _input):\n",
-    "    \n",
-    "    F = _input['F']\n",
-    "    \n",
-    "    key = 'funds'\n",
-    "    value = F\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_S(params, step, sL, s, _input):\n",
-    "    \n",
-    "    S = _input['S']\n",
-    "    \n",
-    "    key = 'supply'\n",
-    "    value = S\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_R(params, step, sL, s, _input):\n",
-    "    \n",
-    "    R = _input['R']\n",
-    "    \n",
-    "    key = 'reserve'\n",
-    "    value = R\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_P(params, step, sL, s, _input):\n",
-    "    \n",
-    "    P = _input['P']\n",
-    "    \n",
-    "    key = 'spot_price'\n",
-    "    value = P\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_holdings(params, step, sL, s, _input):\n",
-    "    \n",
-    "    H_a = _input['H_a']\n",
-    "    \n",
-    "    key = 'holdings'\n",
-    "    value = H_a\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_tokens(params, step, sL, s, _input):\n",
-    "    \n",
-    "    S_a = _input['S_a']\n",
-    "    \n",
-    "    sumS = np.sum(S_a)\n",
-    "    S = _input['S']\n",
-    "    \n",
-    "    tokens = S_a*S/sumS\n",
-    "    \n",
-    "    key = 'tokens'\n",
-    "    value = tokens\n",
-    "    \n",
-    "    return (key, value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "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': revenue_process\n",
-    "        },\n",
-    "        'variables': {\n",
-    "            'funds': update_funds,\n",
-    "            'prices': update_prices\n",
-    "        }\n",
-    "    },\n",
-    "    {\n",
-    "      'policies': {\n",
-    "          'random': choose_agents\n",
-    "        },\n",
-    "        'variables': { \n",
-    "            'actions': agent_actions, \n",
-    "        }\n",
-    "    },\n",
-    "    {\n",
-    "      'policies': {\n",
-    "          'act': resolve_actions,\n",
-    "        },\n",
-    "        'variables': {\n",
-    "            'funds': update_F, #\n",
-    "            'supply': update_S, \n",
-    "            'reserve': update_R,\n",
-    "            'spot_price': update_P,\n",
-    "            'holdings': update_holdings,\n",
-    "            'tokens': update_tokens\n",
-    "        }\n",
-    "    }\n",
-    "]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "time_periods_per_run = 100\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": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[{'N': 1, 'T': range(0, 100), 'M': {'kappa': 2, 'lambda': 200, 'gains': array([1.79183936, 2.21312719, 1.36587453]), 'rates': array([0.34501963, 0.29451016, 0.28632385]), 'population': 3, 'beta': 0.9, 'phi': 0.05, 'invariant': 20000000.0, 'dust': 1e-08}}]\n"
-     ]
-    }
-   ],
-   "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": 18,
-   "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": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "                            __________   ____ \n",
-      "          ________ __ _____/ ____/   |  / __ \\\n",
-      "         / ___/ __` / __  / /   / /| | / / / /\n",
-      "        / /__/ /_/ / /_/ / /___/ ___ |/ /_/ / \n",
-      "        \\___/\\__,_/\\__,_/\\____/_/  |_/_____/  \n",
-      "        by BlockScience\n",
-      "        \n",
-      "Execution Mode: multi_proc: [<cadCAD.configuration.Configuration object at 0x7f9a1a674c90>]\n",
-      "Configurations: [<cadCAD.configuration.Configuration object at 0x7f9a1a674c90>]\n",
-      "1.0059732834560666\n",
-      "1.0003979136632812\n",
-      "1.007758363792569\n",
-      "0.9995539944773082\n",
-      "0.9963116699702721\n",
-      "1.0001086336225762\n",
-      "0.997927941962102\n"
-     ]
-    },
-    {
-     "ename": "UnboundLocalError",
-     "evalue": "local variable 'action' referenced before assignment",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRemoteTraceback\u001b[0m                           Traceback (most recent call last)",
-      "\u001b[0;31mRemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\", line 121, in worker\n    result = (True, func(*args, **kwds))\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\", line 44, in mapstar\n    return list(map(*args))\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/pathos/helpers/mp_helper.py\", line 15, in <lambda>\n    func = lambda args: f(*args)\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/__init__.py\", line 47, in <lambda>\n    results = p.map(lambda t: t[0](t[1], t[2], t[3], t[4], t[5], t[6]), l)\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 229, in simulation\n    list(range(runs))\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/pathos/threading.py\", line 134, in map\n    return _pool.map(star(f), zip(*args)) # chunksize\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\", line 268, in map\n    return self._map_async(func, iterable, mapstar, chunksize).get()\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\", line 657, in get\n    raise self._value\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\", line 121, in worker\n    result = (True, func(*args, **kwds))\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\", line 44, in mapstar\n    return list(map(*args))\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/pathos/helpers/mp_helper.py\", line 15, in <lambda>\n    func = lambda args: f(*args)\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 228, in <lambda>\n    lambda run: execute_run(sweep_dict, states_list, configs, env_processes, time_seq, run),\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 219, in execute_run\n    sweep_dict, states_list_copy, configs, env_processes, time_seq, run\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 190, in run_pipeline\n    sweep_dict, simulation_list, configs, env_processes, time_step, run\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 166, in state_update_pipeline\n    sweep_dict, sub_step, states_list, simulation_list, s_conf, p_conf, env_processes, time_step, run\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 113, in partial_state_update\n    self.get_policy_input(sweep_dict, sub_step, sH, last_in_obj, policy_funcs)\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 49, in get_policy_input\n    col_results = get_col_results(sweep_dict, sub_step, sL, s, funcs)\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 36, in get_col_results\n    return list(map(lambda f: f(sweep_dict, sub_step, sL, s), funcs))\n  File \"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/cadCAD/engine/simulation.py\", line 36, in <lambda>\n    return list(map(lambda f: f(sweep_dict, sub_step, sL, s), funcs))\n  File \"<ipython-input-13-c4285b60d5ba>\", line 14, in resolve_actions\n    F = action['posterior']['F']\nUnboundLocalError: local variable 'action' referenced before assignment\n\"\"\"",
-      "\nThe above exception was the direct cause of the following exception:\n",
-      "\u001b[0;31mUnboundLocalError\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-19-6e7972e764e1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mverbose\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mraw_result\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor_field\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrun\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mraw_result\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/cadCAD/engine/__init__.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    110\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexec_context\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mExecutionMode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmulti_proc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    111\u001b[0m             \u001b[0;31m# if len(self.configs) > 1:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 112\u001b[0;31m             \u001b[0msimulations\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexec_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msimulation_execs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_dict_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstates_lists\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfigs_structs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv_processes_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    113\u001b[0m             \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    114\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpartial_state_updates\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mep\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msimulations\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpartial_state_updates\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/cadCAD/engine/__init__.py\u001b[0m in \u001b[0;36mparallelize_simulations\u001b[0;34m(simulation_execs, var_dict_list, states_lists, configs_structs, env_processes_list, Ts, Ns)\u001b[0m\n\u001b[1;32m     45\u001b[0m     \u001b[0ml\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msimulation_execs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_dict_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstates_lists\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfigs_structs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv_processes_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     46\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mPPool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfigs_structs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 47\u001b[0;31m         \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     48\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mresults\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pathos/multiprocessing.py\u001b[0m in \u001b[0;36mmap\u001b[0;34m(self, f, *args, **kwds)\u001b[0m\n\u001b[1;32m    135\u001b[0m         \u001b[0mAbstractWorkerPool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_AbstractWorkerPool__map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[0m_pool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_serve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 137\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_pool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# chunksize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    138\u001b[0m     \u001b[0mmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAbstractWorkerPool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    139\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mimap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\u001b[0m in \u001b[0;36mmap\u001b[0;34m(self, func, iterable, chunksize)\u001b[0m\n\u001b[1;32m    266\u001b[0m         \u001b[0;32min\u001b[0m \u001b[0ma\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mthat\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mreturned\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    267\u001b[0m         '''\n\u001b[0;32m--> 268\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_map_async\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmapstar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    269\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    270\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstarmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/multiprocess/pool.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    655\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    656\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 657\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    658\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    659\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mUnboundLocalError\u001b[0m: local variable 'action' referenced before assignment"
-     ]
-    }
-   ],
-   "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": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "experiment_index = 0\n",
-    "df = results[experiment_index]['result']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.supply.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.funds.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "(df.funds.diff()/df.funds).hist()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf = df[df.substep == 3].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['token_wts'] = (rdf.tokens/rdf.supply)\n",
-    "rdf['wt_mean_price'] = (rdf.token_wts*rdf.prices).apply(sum)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['holding_wts'] = (rdf.holdings/rdf.holdings.apply(sum))\n",
-    "rdf['h_wt_mean_price'] = (rdf.holding_wts*rdf.prices).apply(sum)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['wealth'] = rdf.holdings + rdf.spot_price*rdf.tokens"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['wealth_wts'] = rdf.wealth/rdf.wealth.apply(sum)\n",
-    "rdf['w_wt_mean_price'] = (rdf.wealth_wts*rdf.prices).apply(sum)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.prices.apply(np.min).plot()\n",
-    "rdf.prices.apply(np.median).plot()\n",
-    "rdf.prices.apply(np.mean).plot()\n",
-    "rdf.wt_mean_price.plot()\n",
-    "rdf.h_wt_mean_price.plot()\n",
-    "rdf.w_wt_mean_price.plot()\n",
-    "rdf.prices.apply(np.max).plot()\n",
-    "rdf.spot_price.plot()\n",
-    "plt.legend(['min', 'median','mean','tok wt mean','hold wt mean','wealth wt mean','max', 'spot'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.prices.apply(np.median).plot()\n",
-    "rdf.prices.apply(np.mean).plot()\n",
-    "rdf.wt_mean_price.plot()\n",
-    "rdf.h_wt_mean_price.plot()\n",
-    "rdf.w_wt_mean_price.plot()\n",
-    "rdf.spot_price.plot()\n",
-    "plt.legend(['median','mean','tok wt mean','hold wt mean','wealth wt mean', 'spot'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.prices.apply(np.min).plot(logy=True)\n",
-    "rdf.prices.apply(np.median).plot(logy=True)\n",
-    "rdf.prices.apply(np.mean).plot(logy=True)\n",
-    "rdf.wt_mean_price.plot(logy=True)\n",
-    "rdf.h_wt_mean_price.plot(logy=True)\n",
-    "rdf.w_wt_mean_price.plot(logy=True)\n",
-    "rdf.prices.apply(np.max).plot(logy=True)\n",
-    "rdf.spot_price.plot(logy=True)\n",
-    "plt.legend(['min', 'median','mean','tok wt mean','hold wt mean','wealth wt mean','max', 'spot'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['median_price']=rdf.prices.apply(np.median)\n",
-    "rdf['mean_price']=rdf.prices.apply(np.mean)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "(np.sign(rdf['mean_price']-rdf['spot_price'])*(rdf['mean_price']-rdf['spot_price'])**2).apply(np.log10).plot(alpha=1)\n",
-    "(-np.sign(rdf['mean_price']-rdf['spot_price'])*(rdf['mean_price']-rdf['spot_price'])**2).apply(np.log10).plot(alpha=.5)\n",
-    "plt.legend(['over','under'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['est_err'] = rdf.spot_price - rdf.wt_mean_price\n",
-    "rdf['sq_est_err'] = rdf['est_err']**2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.est_err.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.est_err.apply(np.abs).plot(logy=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#head T\n",
-    "T = 50\n",
-    "rdf.head(T).prices.apply(np.min).plot()\n",
-    "rdf.head(T).prices.apply(np.median).plot()\n",
-    "rdf.head(T).prices.apply(np.mean).plot()\n",
-    "rdf.head(T).wt_mean_price.plot()\n",
-    "rdf.head(T).h_wt_mean_price.plot()\n",
-    "rdf.head(T).w_wt_mean_price.plot()\n",
-    "rdf.head(T).prices.apply(np.max).plot()\n",
-    "rdf.head(T).spot_price.plot()\n",
-    "plt.legend(['min', 'median','mean','tok wt mean','hold wt mean','wealth wt mean','max', 'spot'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "T = 50\n",
-    "rdf.tail(T).prices.apply(np.min).plot()\n",
-    "rdf.tail(T).prices.apply(np.median).plot()\n",
-    "rdf.tail(T).prices.apply(np.mean).plot()\n",
-    "rdf.tail(T).wt_mean_price.plot()\n",
-    "rdf.tail(T).h_wt_mean_price.plot()\n",
-    "rdf.tail(T).w_wt_mean_price.plot()\n",
-    "rdf.tail(T).prices.apply(np.max).plot()\n",
-    "rdf.tail(T).spot_price.plot()\n",
-    "plt.legend(['min', 'median','mean','tok wt mean','hold wt mean','wealth wt mean','max', 'spot'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tx_data = rdf.actions.values\n",
-    "transactions = []\n",
-    "states = []\n",
-    "for t in range(time_periods_per_run):\n",
-    "    for tx in range(len(tx_data[t])):\n",
-    "        states.append(tx_data[t][tx]['posterior'])\n",
-    "        transactions.append(tx_data[t][tx])\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sdf = pd.DataFrame(states)\n",
-    "tdf = pd.DataFrame(transactions).drop('posterior', axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ind=tdf[tdf.amt==0].index\n",
-    "tdf.drop(ind, inplace=True)\n",
-    "sdf.drop(ind, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf = sdf.merge(tdf, right_index=True, left_index=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "emas = ['P', 'pbar']\n",
-    "for com in [2,4,8,16]:\n",
-    "    k = 'pbar_ewma'+str(com)\n",
-    "    emas.append(k)\n",
-    "    txdf[k] = txdf.pbar.ewm(com).mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf[emas].plot(alpha=.8)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf[emas].plot(alpha=.8)\n",
-    "plt.axis([0, 3000, .095, .115])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf['dP'] = txdf.P.diff()\n",
-    "txdf['percent_dP'] = txdf.P.pct_change().apply(abs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf.plot.scatter(x='R', y='dP', c='percent_dP', alpha=.7, logx=True)\n",
-    "plt.gca().set_facecolor('cyan') "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf.plot.scatter(x='a',y='dP', c='percent_dP', alpha=.7)\n",
-    "plt.gca().set_facecolor('cyan') "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.scatterplot(x=\"pbar\", y=\"P\", data=txdf) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#txdf.plot(x='pbar',y='P')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.jointplot(x=\"pbar\", y=\"P\",kind=\"reg\", data=txdf.replace([np.inf, -np.inf], np.nan).dropna(how=\"all\")) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf['P_err'] = txdf.P-txdf.pbar"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.jointplot(x=\"agent\", y=\"P_err\",kind=\"reg\", data=txdf.replace([np.inf, -np.inf], np.nan).dropna(how=\"all\")) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.jointplot(x='index',y=\"P\",kind=\"reg\", data=txdf.replace([np.inf, -np.inf], np.nan).dropna(how=\"all\").reset_index()) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.scatterplot(x='index',y=\"P_err\", hue = \"pbar\", data=txdf.replace([np.inf, -np.inf], np.nan).dropna(how=\"all\").reset_index()) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.scatterplot(x='index',y=\"P\", hue = \"pbar\", data=txdf.replace([np.inf, -np.inf], np.nan).dropna(how=\"all\").reset_index()) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "txdf['P_err_factor'] = txdf.P/txdf.pbar"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.scatterplot(x='index',y=\"P_err_factor\", hue = \"pbar\", data=txdf.replace([np.inf, -np.inf], np.nan).dropna(how=\"all\").reset_index()) \n",
-    "plt.gca().set_yscale('log')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tx_summary=tdf[['agent','mech','pbar','amt']].groupby(['agent','mech']).agg(['median','count']).T.iloc[:-1].T"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tx_summary"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tx_summary.pbar['median'].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sdf['P'].plot(logx=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sdf['P'].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sdf.F.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bond_amts = [tdf.iloc[k].amt for k in range(time_periods_per_run) if tdf.iloc[k].mech=='bond']\n",
-    "burn_amts = [tdf.iloc[k].amt for k in range(time_periods_per_run) if tdf.iloc[k].mech=='burn']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.hist(bond_amts, bins=20)\n",
-    "plt.yscale('log')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.hist(burn_amts, bins=20)\n",
-    "plt.yscale('log')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['invariant'] = rdf.supply.apply(lambda x: x**kappa)/rdf.reserve"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.plot(x='reserve', y='supply', kind='scatter', alpha=.5)\n",
-    "axis = plt.axis()\n",
-    "xrange = np.arange(axis[0], axis[1], (axis[1]-axis[0])/100)\n",
-    "yrange = np.array([supply(x, V0, kappa) for x in xrange ])\n",
-    "plt.plot(xrange, yrange, 'y')\n",
-    "plt.title('Bonding Curve Invariant')\n",
-    "plt.legend(['Invariant', 'Observed Data'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def gini(x):\n",
-    "\n",
-    "    # Mean absolute difference\n",
-    "    mad = np.abs(np.subtract.outer(x, x)).mean()\n",
-    "    # Relative mean absolute difference\n",
-    "    rmad = mad/np.mean(x)\n",
-    "    # Gini coefficient\n",
-    "    g = 0.5 * rmad\n",
-    "    return g"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "plt.hist(rdf.iloc[-1].holdings)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['gini_h'] = rdf.holdings.apply(gini)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.gini_h.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.hist(rdf.iloc[-1].tokens)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['gini_s'] = rdf.tokens.apply(gini)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.gini_s.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.tokens.apply(np.count_nonzero).plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['asset_value'] = rdf.holdings + rdf.spot_price*rdf.tokens"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.hist(rdf.iloc[-1].asset_value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['gini'] = rdf.asset_value.apply(gini)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf.gini.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rdf['pref_gap'] = (rdf.prices - rdf.spot_price)/rdf.spot_price"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.hist(rdf.iloc[-7:].pref_gap, bins=7)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "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": "3.7.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Simulation/.ipynb_checkpoints/abc_sim-simpler-checkpoint.ipynb b/Simulation/.ipynb_checkpoints/abc_sim-simpler-checkpoint.ipynb
deleted file mode 100644
index c19f589..0000000
--- a/Simulation/.ipynb_checkpoints/abc_sim-simpler-checkpoint.ipynb
+++ /dev/null
@@ -1,1243 +0,0 @@
-{
- "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",
-    "\n",
-    "%matplotlib inline\n",
-    "\n",
-    "#import conviction files\n",
-    "#from conviction_helpers import *\n",
-    "#from conviction_system_logic3 import *\n",
-    "from bonding_curve_eq import *"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "System initialization"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "hatch_raise = 100000 # fiat units\n",
-    "hatch_price = .1 #fiat per tokens\n",
-    "theta = .5 #share of funds going to funding pool at launch\n",
-    "\n",
-    "R0 = hatch_raise*(1-theta)\n",
-    "#F0 = hatch_raise*theta\n",
-    "S0 = hatch_raise/hatch_price\n",
-    "\n",
-    "kappa = 2\n",
-    "V0 = invariant(R0,S0,kappa)\n",
-    "P0 = spot_price(R0, V0, kappa)\n",
-    "\n",
-    "dust = 10**-8"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "agent initialization"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#phi for exiting funds\n",
-    "phi = 0\n",
-    "\n",
-    "#beta is param for armijo rule\n",
-    "beta = .9\n",
-    "\n",
-    "#param for open loop\n",
-    "rules = [\"martin\", \"step\",\"ramp\", \"sin\"] # step or \"ramp\" \"sin\" or \"martin\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "params= {\n",
-    "    'kappa': [kappa],\n",
-    "#    'lambda': [lam],\n",
-    "#    'gains': [g],\n",
-    "#    'rates':[1/gamma],\n",
-    "#    'population':[n],\n",
-    "#   'beta':[beta],\n",
-    "#    'phi': [phi],\n",
-    "    'invariant': [V0],\n",
-    "    'dust' : [dust],\n",
-    "    'rule' : rules,\n",
-    "    'dP' : ['N/A', P0/4, P0/1000, P0/2],\n",
-    "    'sigma': [.005,'N/A','N/A', 'N/A'],\n",
-    "    'period': ['N/A', 2000,2000,2000]}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "initial_conditions = {'supply': S0,\n",
-    "                      'price': P0,\n",
-    "                      'reserve': R0,\n",
-    "                      'spot_price': P0,\n",
-    "                      'output_price': P0,\n",
-    "                      }"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'supply': 1000000.0,\n",
-       " 'price': 0.09999999999999999,\n",
-       " 'reserve': 50000.0,\n",
-       " 'spot_price': 0.09999999999999999,\n",
-       " 'output_price': 0.09999999999999999}"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "initial_conditions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def set_action(params, step, sL, s):\n",
-    "    \n",
-    "    R = s['reserve']\n",
-    "    S = s['supply']\n",
-    "    V0 = params['invariant']\n",
-    "    P=s['spot_price']\n",
-    "    period = params['period']\n",
-    "    \n",
-    "    if params['rule'] == 'step':\n",
-    "        bump = int((s['timestep'] % int(period/2) == 0))*int(s['timestep']>0)\n",
-    "        sign = -(-1)**int((2*s['timestep']/period))\n",
-    "        new_price = s['price'] + params['dP']*bump*sign\n",
-    "    elif params['rule'] == 'ramp':\n",
-    "        sign = (-1)**int((2*s['timestep']/period))\n",
-    "        new_price = s['price'] + params['dP']*sign\n",
-    "    elif params['rule'] == 'sin':\n",
-    "        new_price = P0 + params['dP']*np.sin(2*np.pi*s['timestep']/period)\n",
-    "    elif params['rule']=='martin' :\n",
-    "        rv = np.random.normal(0, params['sigma'])\n",
-    "        new_price = s['price']+s['price']*rv\n",
-    "    else :\n",
-    "        new_price = s['price']\n",
-    "    \n",
-    "    \n",
-    "    #print(params['rule']+': '+str(new_price))\n",
-    "    \n",
-    "    if P>new_price: #equiv: pbar(0)>phat_a\n",
-    "        mech = 'burn'\n",
-    "                        \n",
-    "        #approx for burn s.t. p=phat\n",
-    "        #armijo style\n",
-    "        amt = S*(1-params['dust'])\n",
-    "\n",
-    "        def pbar(amt):\n",
-    "            output = withdraw(amt, R,S, V0, params['kappa'])\n",
-    "\n",
-    "            if not(output[1])>0:\n",
-    "                return np.Infinity\n",
-    "            elif amt==0:\n",
-    "                return P\n",
-    "            else:\n",
-    "                return output[1]\n",
-    "\n",
-    "        if amt > params['dust']:\n",
-    "            while pbar(amt)< new_price:\n",
-    "                amt = amt*beta\n",
-    "\n",
-    "    else: # P<phat_a; #equiv pbar(0)<phat_a\n",
-    "        mech = 'bond'\n",
-    "        #approx for buy s.t. p=phat\n",
-    "        #armijo style\n",
-    "        amt = R*(1-params['dust'])\n",
-    "\n",
-    "        def pbar(amt):\n",
-    "            output = mint(amt, R,S, V0, params['kappa'])\n",
-    "            \n",
-    "            if not(output[1])>0:\n",
-    "                return 0\n",
-    "            elif amt==0:\n",
-    "                return P\n",
-    "            else:\n",
-    "                return output[1]\n",
-    "\n",
-    "        if amt > params['dust']:\n",
-    "            while pbar(amt)> new_price:\n",
-    "                amt = amt*beta\n",
-    "    #print(mech)\n",
-    "    #print(amt)\n",
-    "    action = {'mech':mech, 'amt':amt,'pin':new_price ,'pbar':pbar(amt),'posterior':{}}\n",
-    "    \n",
-    "    if action['mech'] == 'bond':\n",
-    "\n",
-    "        dS, pbar = mint(amt, R,S, V0, params['kappa'])\n",
-    "        R = R+amt\n",
-    "        S = S+dS\n",
-    "        P = spot_price(R, V0, kappa)\n",
-    "\n",
-    "    elif action['mech'] == 'burn':\n",
-    "        dR, pbar = withdraw(amt, R,S, V0, params['kappa'])\n",
-    "        R = R-dR\n",
-    "        S = S-amt\n",
-    "        P = spot_price(R, V0, kappa)\n",
-    "\n",
-    "    action['posterior'] = {'S':S, 'R':R,'P':P}\n",
-    "    \n",
-    "    return {'action': action}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def update_S(params, step, sL, s, _input):\n",
-    "    \n",
-    "    action = _input['action']\n",
-    "    S = action['posterior']['S']\n",
-    "    \n",
-    "    key = 'supply'\n",
-    "    value = S\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_R(params, step, sL, s, _input):\n",
-    "    \n",
-    "    action = _input['action']\n",
-    "    R = action['posterior']['R']\n",
-    "    \n",
-    "    key = 'reserve'\n",
-    "    value = R\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_P(params, step, sL, s, _input):\n",
-    "    \n",
-    "    action = _input['action']\n",
-    "    P = action['posterior']['P']\n",
-    "    \n",
-    "    key = 'spot_price'\n",
-    "    value = P\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def update_Pbar(params, step, sL, s, _input):\n",
-    "    \n",
-    "    action = _input['action']\n",
-    "    pbar = action['pbar']\n",
-    "    \n",
-    "    key = 'output_price'\n",
-    "    value = pbar\n",
-    "    \n",
-    "    return (key, value)\n",
-    "\n",
-    "def capture_Pin(params, step, sL, s, _input):\n",
-    "    \n",
-    "    Pin = _input['action']['pin']\n",
-    "    if Pin== 0:\n",
-    "        print(_input['action']) \n",
-    "    key = 'price'\n",
-    "    value = Pin\n",
-    "    \n",
-    "    return (key, value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
-    "# The Partial State Update Blocks\n",
-    "partial_state_update_blocks = [\n",
-    "    {\n",
-    "      'policies': {\n",
-    "          'act': set_action,\n",
-    "        },\n",
-    "        'variables': {\n",
-    "            'supply': update_S, \n",
-    "            'reserve': update_R,\n",
-    "            'spot_price': update_P,\n",
-    "            'output_price': update_Pbar,\n",
-    "            'price': capture_Pin,\n",
-    "        }\n",
-    "    }\n",
-    "]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "time_periods_per_run = 4000\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": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[{'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'martin', 'dP': 'N/A', 'sigma': 0.005, 'period': 'N/A'}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'step', 'dP': 0.024999999999999998, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'ramp', 'dP': 9.999999999999999e-05, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'sin', 'dP': 0.049999999999999996, 'sigma': 'N/A', 'period': 2000}}]\n",
-      "[{'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'martin', 'dP': 'N/A', 'sigma': 0.005, 'period': 'N/A'}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'step', 'dP': 0.024999999999999998, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'ramp', 'dP': 9.999999999999999e-05, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'sin', 'dP': 0.049999999999999996, 'sigma': 'N/A', 'period': 2000}}]\n",
-      "[{'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'martin', 'dP': 'N/A', 'sigma': 0.005, 'period': 'N/A'}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'step', 'dP': 0.024999999999999998, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'ramp', 'dP': 9.999999999999999e-05, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'sin', 'dP': 0.049999999999999996, 'sigma': 'N/A', 'period': 2000}}]\n",
-      "[{'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'martin', 'dP': 'N/A', 'sigma': 0.005, 'period': 'N/A'}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'step', 'dP': 0.024999999999999998, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'ramp', 'dP': 9.999999999999999e-05, 'sigma': 'N/A', 'period': 2000}}, {'N': 1, 'T': range(0, 4000), 'M': {'kappa': 2, 'invariant': 20000000.0, 'dust': 1e-08, 'rule': 'sin', 'dP': 0.049999999999999996, 'sigma': 'N/A', 'period': 2000}}]\n"
-     ]
-    }
-   ],
-   "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": 12,
-   "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": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "                            __________   ____ \n",
-      "          ________ __ _____/ ____/   |  / __ \\\n",
-      "         / ___/ __` / __  / /   / /| | / / / /\n",
-      "        / /__/ /_/ / /_/ / /___/ ___ |/ /_/ / \n",
-      "        \\___/\\__,_/\\__,_/\\____/_/  |_/_____/  \n",
-      "        by BlockScience\n",
-      "        \n",
-      "Execution Mode: multi_proc: [<cadCAD.configuration.Configuration object at 0x7f737b45ad50>, <cadCAD.configuration.Configuration object at 0x7f737b45aed0>, <cadCAD.configuration.Configuration object at 0x7f737b463050>, <cadCAD.configuration.Configuration object at 0x7f737b463190>]\n",
-      "Configurations: [<cadCAD.configuration.Configuration object at 0x7f737b45ad50>, <cadCAD.configuration.Configuration object at 0x7f737b45aed0>, <cadCAD.configuration.Configuration object at 0x7f737b463050>, <cadCAD.configuration.Configuration object at 0x7f737b463190>]\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": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.10015990554705045"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "experiment_index = 0\n",
-    "results[experiment_index]['result'].price[1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'kappa': 2,\n",
-       " 'invariant': 20000000.0,\n",
-       " 'dust': 1e-08,\n",
-       " 'rule': 'martin',\n",
-       " 'dP': 'N/A',\n",
-       " 'sigma': 0.005,\n",
-       " 'period': 'N/A'}"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results[0]['simulation_parameters']['M']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def assign_run(df, T = time_periods_per_run):\n",
-    "    temp_df = df.reset_index()\n",
-    "    temp_df[\"run\"] = temp_df['index'].apply(lambda x: int(np.floor(x/(T+1))))\n",
-    "    \n",
-    "    return temp_df.drop(\"index\", axis =1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def append_parameters(result, experiment_index):\n",
-    "    sim_params = result['simulation_parameters']\n",
-    "    params = sim_params['M']\n",
-    "    frame = result['result']\n",
-    "    frame[\"experiment_index\"] = experiment_index\n",
-    "    for key in params.keys():\n",
-    "        frame[key] = params[key]\n",
-    "        \n",
-    "    return frame"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def package_results(results):\n",
-    "    dataframes =  [ assign_run(append_parameters(results[experiment_index],experiment_index)) for experiment_index in range(i)]\n",
-    "    return pd.concat(dataframes)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = package_results(results)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "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[['timestep','experiment_index','run','price', 'spot_price']].groupby(['run','experiment_index']).plot(x='timestep', y=['price', 'spot_price'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['err'] = df.price-df.spot_price\n",
-    "df['abs_err']= df.err.apply(abs)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f739caad2d0>"
-      ]
-     },
-     "execution_count": 22,
-     "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[df.rule=='step'].err.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f739ca43690>"
-      ]
-     },
-     "execution_count": 23,
-     "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[df.rule=='step'].iloc[1995:2050].plot(y=['price', 'spot_price'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f739c99de50>"
-      ]
-     },
-     "execution_count": 24,
-     "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[df.rule=='step'].iloc[1995:2050].plot(y=['err','abs_err'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f739c5a56d0>"
-      ]
-     },
-     "execution_count": 25,
-     "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.abs_err.plot(logy=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "run  experiment_index\n",
-       "0    0                   AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "     1                   AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "     2                   AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "     3                   AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 26,
-     "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"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "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[['timestep','experiment_index','run','abs_err']].groupby(['run','experiment_index']).plot(x='timestep', y='abs_err', logy=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x7f739c4c8650>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x432 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.jointplot(x='price', y='spot_price',kind='kde',data=df[df.rule==\"martin\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x7f739b816610>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x432 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.jointplot(x='price', y='spot_price',kind='kde',data=df[df.rule==\"ramp\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x7f739b6baa50>"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x432 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.jointplot(x='price', y='spot_price',kind='kde',data=df[df.rule==\"sin\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x432 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.jointplot(x='price', y='spot_price',kind='kde',data=df[(df.rule==\"step\")])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "gb=df[['timestep','experiment_index','run','abs_err']].groupby(['run','experiment_index'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>supply</th>\n",
-       "      <th>price</th>\n",
-       "      <th>reserve</th>\n",
-       "      <th>spot_price</th>\n",
-       "      <th>output_price</th>\n",
-       "      <th>run</th>\n",
-       "      <th>substep</th>\n",
-       "      <th>timestep</th>\n",
-       "      <th>experiment_index</th>\n",
-       "      <th>kappa</th>\n",
-       "      <th>invariant</th>\n",
-       "      <th>dust</th>\n",
-       "      <th>rule</th>\n",
-       "      <th>dP</th>\n",
-       "      <th>sigma</th>\n",
-       "      <th>period</th>\n",
-       "      <th>err</th>\n",
-       "      <th>abs_err</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.000000e+06</td>\n",
-       "      <td>0.100000</td>\n",
-       "      <td>50000.000000</td>\n",
-       "      <td>0.100000</td>\n",
-       "      <td>0.100000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>20000000.0</td>\n",
-       "      <td>1.000000e-08</td>\n",
-       "      <td>martin</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.003176e+06</td>\n",
-       "      <td>0.100160</td>\n",
-       "      <td>50318.134269</td>\n",
-       "      <td>0.100318</td>\n",
-       "      <td>0.100159</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>20000000.0</td>\n",
-       "      <td>1.000000e-08</td>\n",
-       "      <td>martin</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>-0.000158</td>\n",
-       "      <td>0.000158</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>9.980062e+05</td>\n",
-       "      <td>0.100046</td>\n",
-       "      <td>49800.814088</td>\n",
-       "      <td>0.099801</td>\n",
-       "      <td>0.100059</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>20000000.0</td>\n",
-       "      <td>1.000000e-08</td>\n",
-       "      <td>martin</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.000246</td>\n",
-       "      <td>0.000246</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.008073e+06</td>\n",
-       "      <td>0.100305</td>\n",
-       "      <td>50810.553452</td>\n",
-       "      <td>0.100807</td>\n",
-       "      <td>0.100304</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>20000000.0</td>\n",
-       "      <td>1.000000e-08</td>\n",
-       "      <td>martin</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>-0.000503</td>\n",
-       "      <td>0.000503</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.005005e+06</td>\n",
-       "      <td>0.100645</td>\n",
-       "      <td>50501.765321</td>\n",
-       "      <td>0.100501</td>\n",
-       "      <td>0.100654</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>20000000.0</td>\n",
-       "      <td>1.000000e-08</td>\n",
-       "      <td>martin</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>N/A</td>\n",
-       "      <td>0.000145</td>\n",
-       "      <td>0.000145</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         supply     price       reserve  spot_price  output_price  run  \\\n",
-       "0  1.000000e+06  0.100000  50000.000000    0.100000      0.100000    0   \n",
-       "1  1.003176e+06  0.100160  50318.134269    0.100318      0.100159    0   \n",
-       "2  9.980062e+05  0.100046  49800.814088    0.099801      0.100059    0   \n",
-       "3  1.008073e+06  0.100305  50810.553452    0.100807      0.100304    0   \n",
-       "4  1.005005e+06  0.100645  50501.765321    0.100501      0.100654    0   \n",
-       "\n",
-       "   substep  timestep  experiment_index  kappa   invariant          dust  \\\n",
-       "0        0         0                 0      2  20000000.0  1.000000e-08   \n",
-       "1        1         1                 0      2  20000000.0  1.000000e-08   \n",
-       "2        1         2                 0      2  20000000.0  1.000000e-08   \n",
-       "3        1         3                 0      2  20000000.0  1.000000e-08   \n",
-       "4        1         4                 0      2  20000000.0  1.000000e-08   \n",
-       "\n",
-       "     rule   dP  sigma period       err   abs_err  \n",
-       "0  martin  N/A  0.005    N/A  0.000000  0.000000  \n",
-       "1  martin  N/A  0.005    N/A -0.000158  0.000158  \n",
-       "2  martin  N/A  0.005    N/A  0.000246  0.000246  \n",
-       "3  martin  N/A  0.005    N/A -0.000503  0.000503  \n",
-       "4  martin  N/A  0.005    N/A  0.000145  0.000145  "
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['price_pc']=df.price.pct_change()\n",
-    "df['spot_price_pc']=df.spot_price.pct_change()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 429x360 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.lmplot(x='spot_price_pc', y='price_pc', hue='rule',truncate=True,data=df)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def response_plot(rdf, title):\n",
-    "    plt.subplots(figsize=(10,6))\n",
-    "    ax1=subplot(2,1,1)\n",
-    "    rdf[[\"spot_price\",\"price\"]].plot(ax=ax1)\n",
-    "    plt.legend([\"spot price (output: $P_t$)\", \"price sample (input: $\\hat P_t$)\" ])\n",
-    "    #plt.xlabel(\"transaction count (time)\")\n",
-    "    plt.ylabel(\"Price, $\\hat P_t$, $P_t$\")\n",
-    "    plt.title(title+\" Response Dynamics\")\n",
-    "    ax2=subplot(2,1,2)\n",
-    "    rdf[[\"abs_err\"]].plot(ax=ax2,logy=True, color='green')\n",
-    "    plt.legend([\"$Error: |P_t-\\hat P_t|$\" ])\n",
-    "    plt.xlabel(\"transaction count (time)\")\n",
-    "    plt.ylabel(\"Absolute Value of Estimation Error\")\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'subplot' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-36-783e7ec4e4dd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mresponse_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrule\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'step'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"Step\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-35-0ec474876cdb>\u001b[0m in \u001b[0;36mresponse_plot\u001b[0;34m(rdf, title)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mresponse_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrdf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0max1\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0mrdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"spot_price\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"price\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"spot price (output: $P_t$)\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"price sample (input: $\\hat P_t$)\"\u001b[0m \u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'subplot' is not defined"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "response_plot(df[df.rule=='step'], \"Step\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "response_plot(df[df.rule=='ramp'], \"Ramp\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "response_plot(df[df.rule=='sin'], \"Periodic\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "response_plot(df[df.rule=='martin'], \"Martingale\")"
-   ]
-  },
-  {
-   "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": "3.7.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Simulation/.ipynb_checkpoints/hatch_sim-checkpoint.ipynb b/Simulation/.ipynb_checkpoints/hatch_sim-checkpoint.ipynb
deleted file mode 100644
index f2b5b5e..0000000
--- a/Simulation/.ipynb_checkpoints/hatch_sim-checkpoint.ipynb
+++ /dev/null
@@ -1,964 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import seaborn as sns\n",
-    "\n",
-    "\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### System timeline\n",
-    " - initial raise\n",
-    " - hatch sale\n",
-    " - reference implementation launch"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Augumented bonding curve Mathematics\n",
-    "\n",
-    "### Hatch Sale Equations\n",
-    "\n",
-    "- Initial Raise $d_0$ Dai\n",
-    "- Initial Reserve is $R_0 = (1-\\theta) d_0$\n",
-    "- Hatch sale Price $p_0$ (dai per token) determines the initial supply: $S_0 = d_0/p_0$\n",
-    "- Power Function Invariant shape: $V(R, S) = \\frac{S^\\kappa}{R}$\n",
-    "- Price function (DAI per Token): $P(R) = \\frac{\\kappa R^{(\\kappa-1)/ \\kappa}}{V_0^{1 / \\kappa}}$\n",
-    "- Supply function (tokens): $S(R) = \\sqrt[\\kappa]{V_0 R}$\n",
-    "- Reserve function (xDAI): $R(S) = \\frac{S^{\\kappa}}{V_0} $\n",
-    "- The invariant coef: $V_0 = V(R_0, S_0) = \\frac{S_0^\\kappa}{R_0} = \\left(\\frac{1}{p_0(1-\\theta)}\\right)^\\kappa R_0^{\\kappa-1}$\n",
-    "- The post hatch price: $p_1=P(R_0) = \\frac{\\kappa R_0^{(\\kappa-1)/ \\kappa}}{V_0^{1 / \\kappa}} = \\kappa R_0^{(\\kappa-1)/ \\kappa} \\cdot(1-\\theta)p_0\\cdot R_0^{-(\\kappa-1)/\\kappa} = \\kappa(1-\\theta) p_0$\n",
-    "- The Return factor: $\\frac{p_1}{p_0} = {\\kappa}(1-\\theta)$\n",
-    "\n",
-    "### Invariant Preserving Deposit-to-Mint\n",
-    " - Deposit $\\Delta R$ xdai \n",
-    " - Conservation equation: $V(R+ \\Delta R, S+\\Delta S) = \\frac{(S+\\Delta S)^\\kappa}{R+\\Delta R} =V_0$\n",
-    " - Derived Mint equation: $\\Delta S = mint\\big(\\Delta R ; (R,S)\\big)= \\sqrt[\\kappa]{V_0(R+\\Delta R)}-S$\n",
-    " - Realized Price is: $\\bar{P}(\\Delta R) =\\frac{\\Delta R}{\\Delta S} = \\frac{\\Delta R}{\\sqrt[\\kappa]{V_0(R+\\Delta R)}-\\sqrt[\\kappa]{V_0(R)}} \\rightarrow \\big(\\frac{\\partial S(R)}{\\partial R} \\big)^{-1}$ as $\\Delta R \\rightarrow 0$\n",
-    " - The limiting price is the spot price: $\\lim_{\\Delta R \\rightarrow 0} \\bar{P}(\\Delta R)=\\big(\\frac{\\partial S(R)}{\\partial R}\\big)^{-1}= \\big(\\frac{V_0^{1/\\kappa} \\cdot  R^{1/\\kappa-1}}{\\kappa}\\big)^{-1}= \\frac{\\kappa R^{1-1/\\kappa}}{V_0^{1/\\kappa}} = \\frac{\\kappa R^{(\\kappa-1)/\\kappa}}{V_0^{1/\\kappa}} =P(R)$\n",
-    " \n",
-    "### Invariant Preserving Burn-to-Withdraw\n",
-    " - Burn $\\Delta S$ tokens\n",
-    " - Conservation equation: $V(R- \\Delta R, S-\\Delta S) = \\frac{(S-\\Delta S)^\\kappa}{R-\\Delta R} =V_0$\n",
-    " - Derived Withdraw equation: $\\Delta R = withdraw\\big(\\Delta S ; (R,S)\\big)= R-\\frac{(S-\\Delta S)^\\kappa}{V_0}$\n",
-    " - Realized Price is: $\\bar{P}(\\Delta S) =\\frac{\\Delta R}{\\Delta S} = \\frac{\\frac{S^{\\kappa}}{V_0}-\\frac{(S-\\Delta S)^\\kappa}{V_0}}{\\Delta S} \\rightarrow \\frac{\\partial R(S)}{\\partial S} $ as $\\Delta S \\rightarrow 0$\n",
-    " - The limiting price is the spot price: $\\lim_{\\Delta S \\rightarrow 0} \\bar{P}(\\Delta S)=\\frac{\\partial R(S)}{\\partial S}=\\frac{\\kappa S^{\\kappa-1}}{V_0} = \\frac{\\kappa \\cdot (\\sqrt[\\kappa]{V_0 R})^{\\kappa-1}}{V_0}= \\frac{\\kappa R^{(\\kappa-1)/\\kappa}}{V_0^{1/\\kappa}}=P(R)$\n",
-    " - Given friction coef $\\phi$ \n",
-    "     - sent to burning agent address: $\\Delta R_{agent} = (1-\\phi) \\Delta R$\n",
-    "     - sent to the funding pool address: $\\Delta R_{pool} = \\phi \\Delta R$\n",
-    "     - due to the friction the true realized price for the agent is $(1-\\phi)\\cdot \\bar{P}(\\Delta S)$\n",
-    "     - due to the friction the true return factor post withdraw is: ${\\kappa}(1-\\theta)(1-\\phi)$"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#integer_units = 10**12 #account for decimal places to a token\n",
-    "#scale_units = 10**6 #millions of tokens, million of DAI\n",
-    "#mu = integer_units*scale_units\n",
-    "\n",
-    "#value function for a given state (R,S)\n",
-    "def invariant(R,S,kappa):\n",
-    "    return (S**kappa)/R\n",
-    "\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#return Supply S as a function of reserve R\n",
-    "def supply(R, kappa, V0):\n",
-    "    return (V0*R)**(1/kappa)\n",
-    "\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#return a spot price P as a function of reserve R\n",
-    "def spot_price(R, kappa, V0):\n",
-    "    return kappa*R**((kappa-1)/kappa)/V0**(1/kappa)\n",
-    "\n",
-    "#for a given state (R,S)\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#deposit deltaR to Mint deltaS\n",
-    "#with realized price deltaR/deltaS\n",
-    "def mint(deltaR, R,S, kappa, V0):\n",
-    "    deltaS = (V0*(R+deltaR))**(1/kappa)-S\n",
-    "    realized_price = deltaR/deltaS\n",
-    "    return deltaS, realized_price\n",
-    "\n",
-    "#for a given state (R,S)\n",
-    "#given a value function (parameterized by kappa)\n",
-    "#and an invariant coeficient V0\n",
-    "#burn deltaS to Withdraw deltaR\n",
-    "#with realized price deltaR/deltaS\n",
-    "def withdraw(deltaS, R,S, kappa, V0):\n",
-    "    deltaR = R-((S-deltaS)**kappa)/V0\n",
-    "    realized_price = deltaR/deltaS\n",
-    "    return deltaR, realized_price"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x1a1c9f4390>"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a1c6c0d68>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(10,4))\n",
-    "X= np.arange(0,12, .01)\n",
-    "vals = [1-1/2**x for x in X]\n",
-    "\n",
-    "vals3 = [1/2**x for x in X]\n",
-    "ax.plot(X,vals, X, vals3)\n",
-    "plt.xlabel('months')\n",
-    "plt.ylabel('percent vested')\n",
-    "plt.title('Vesting Schdule with 1 month vesting \"Half-Life\"')\n",
-    "plt.legend([\"Share of hatch tokens Vested\", \"Share of Hatch tokens Locked\"])\n",
-    "plt.vlines(3,0,1, linestyle ='-.')\n",
-    "plt.text(3.2,.85, str(int(1000*7/8)/10)+ \"% of tokens vested after 3 months\" )\n",
-    "plt.scatter(3,7/8)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2458.387573380661"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "10*10**6*vals3[-1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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Qtm8fsy99kOxmrarqtCgtpI27iHZ+biKa+hLVIoiEqBYM6haDX2QEvs2aNeIZNcy5lEE22xxxwFzAjEdS2GW3jq6vrmSQhRBCCCHq4S4pYe/OvexKzSI9+zCZucfILiwju8yXfaoJh/2boikfgkuP8cGKP4OPDwf6T6UgOIzA3r1pHhGBrWkwAa2aEtO+Le3jowkKPifiyAvZUuAN4F2g4lQqSgZZCCGEEBe90uIS0lMz2JuWTWLxAbTsTD7NLufTkhbYN79NxYEDPNN7Kl/H9AXA5C6nVVkhbSmlXQBENfcjsmUw0RFhDOlpxr9tW5SfXyOf1e/vHMsgb3LZrb0bUveCzSA3a9aMwsLCOsvMmTOHuXPn0qVLF/72t7/xyCOPVO0bPHgwa9euPeVjjBgxgnnz5jFmzJiqx/7xj3+wa9cuXn755dPq75ni6+tL9+7dKS8vJzY2lnfeeYfQ0FAAFi9ezBNPPAHAo48+ysyZM71qs6SkhBkzZrBx40ZatmzJ+++/j9lsPqHMzp07mTJlStV2WloaCxcu5L777mPBggW8/vrrtGqlf/X0t7/9jbFjxzbo/F599VWCgoKYMWMGs2bNYty4cUyePJkRI0bwzDPP0LdvX8aOHct7771Xdd4N5dnv0tJS5s+fz/XXX39abZ5N1X/P3nrrLTZs2MCiRYtqrZOdnc0999zD0qVL2bJlC9nZ2Q1+bYQQorFoFRUc2pvFjuQM9mYeIuNgIVkFJWSVKHJowiH/ZriVPp739S+fJ6o4j+Kul+GObInvkGG0iGrLbS2imNmiBea4KCLMEZj8Ltgw6kKxzGxz3Ap8DJRUPuiyW4/WV/GifmX/9a9/Vd2vHiDXFxzX5vrrrycpKemEADkpKYmnn3664R09wwIDA9myZQsAM2fO5KWXXuJPf/oThw8f5vHHH2fDhg0opejTpw/jx4+nRYsW9bb5xhtv0KJFC1JTU0lKSuLhhx/m/fffP6FM586dq45bUVFBZGQkV199ddX++++/nwcffPC0z+/222+vt8yKFStO+ziVKvudkpJCnz59mDx5Mn5nIWtQUVGBr+/vezUyQEREBEuXLgVgy5YtbNiwQQJkIcQ5p6K8gn3pObhSs2hXcJDmBzP5NfMIi4615s7UL4jYs4MVUX15sedkwITSmhNeWkhbiuntf5zI4HKiw4OJiWxJn9uW0DyqHRY/P+70OEar2g4uzlVzjJ/zPR7TgJj6Kl7wAfKqVatYsGAB4eHhbNu2jT59+vDuu++ilKrKKC5dupSioiJ69uxJ165dWbJkSVWmrbCwkAkTJpCXl0dZWRlPPPEEEyZMqPV4kydP5tFHH6WkpISAgABcLhfZ2dkMHTrUq7ZWrVrFM888w6effgrA3XffTd++fZk1axYbN25k7ty5FBYWEh4ezltvvUW7du144YUXePXVVzGZTHTp0oWkpCSvn59BgwaxdetWAL744gtGjRpFWFgYAKNGjeLzzz/3KiO6bNkyFixYUPUc3H333WiahlKqxvJff/01HTt2pH379l73ddWqVfz5z3+mTZs2bNmyhUmTJtG9e3eef/55ioqK+OSTT+jYsSMLFiygWbNmdQbbZrOZDRs2EB4ezrPPPsubb+pXDM+ZM4f77rsPl8vFlVdeydChQ1m7di2RkZEsW7aMwMDAWtuMj48nKCiIvLw8Wrduze7du7nrrrs4ePAgQUFBvP766yQkJPDhhx/y+OOP4+vrS0hICKtXr6aiogKbzcaqVasoKSnhrrvu4rbbbmPVqlU8/vjjtGvXji1btnDVVVfRvn177rxT/5O9YMECgoODeeCBB3j66af54IMPKCkp4eqrr+bxxx/3+rkFmDVrFs2bN2fDhg3s27ePp556ismTJ+NyuRg3bhybNm3iscceo6ioiDVr1jBv3jzatm3LvffeC4BSitWrVxMcHHxKxxVCCG9omsbxg7ls3+Fi794DpO/PJzO/mOwijWy3P/v9mlHqqycn7t/0AaPTf6a4fReKLFehdbLQcsQAxraOpnuzpphj2xHdqT2BQU0a+azE2eSyW6MbWveCD5ABNm/ezPbt24mIiGDIkCH88MMPDB06tGq/3W5n0aJFVdlNT02aNOHjjz+mefPmHDp0iIEDBzJ+/PhaA7+WLVvSv39/Pv/8cyZMmEBSUhJTpkxBKXXKbXkqKyvjD3/4A8uWLaNVq1a8//77/OlPf+LNN9/EbrezZ88eAgICOHLkCAAbNmzg1VdfPSFLXl1FRQVff/01s2fPBiArK4vo6N9+l6KiosjKygJgypQp7Ny586Q25s6dy4wZM06oazKZCAkJITc3l/Dw8BqPnZSUdFLgvWjRIt5++2369u3L//3f/9WYuf7ll19wOp2EhYXRoUMH5syZw/r163n++ed58cUX+cc//lHX03iSjRs38u9//5uffvoJTdMYMGAAw4cPp0WLFqSkpPCf//yH119/neuuu47//ve/3HjjjbW2tWnTJuLj42ndujUAt956K6+++irx8fH89NNP3HnnnXzzzTcsXLiQL774gsjIyKrX64033iAkJISff/6ZkpIShgwZwujR+kW269evZ9u2bcTGxrJ582buu+++qgD5gw8+4PPPP2flypWkpKSwfv16NE1j/PjxrF69mmHDhp3S85GTk8OaNWtITk5m/PjxTJ48uWqfv78/CxcuPGFIxlVXXcVLL73EkCFDKCwspEkT+WcjhGi4IwfzSEt2Yco9QGReDkcyspmf35bL9/3CYOca0kzNufOyyuRHc4LLTLRzH6ejqZRhTfOJCguifbswekz7E+3iYrAEBnKlR/utAUsjnJc4kdnmuAJ4HvAF/uWyW+3V9gcAbwN9gFxgistudZltDjPgBCoDkh9ddmutXxubbY5A4F6gvctuvcOY1SLeZbd+Vl8fL4oAuX///kRFRQHQs2dPXC7XCQFyXTRN45FHHmH16tX4+PiQlZXF/v37adu2ba11KodZVAbIldnJhrRVaefOnWzbto1Ro0YBenDbrl07ABITE5k2bRoTJ05k4sSJAPTt27fW4LgyW+5yuejTp09VmzVdsFkZvFcfLlFdXXWrKy0tZfny5fz973+veuyOO+5g/vz5KKWYP38+DzzwQNXz5qlfv35V592xY8eqILJ79+58++23dfaxJmvWrOHqq6+maVP9eoJJkybx/fffM378eGJjY+nZsycAffr0weVy1djGc889x+uvv05aWhqff/45AIWFhaxdu5Zrr722qlxJiT78aciQIcyaNYvrrruOSZMmAbBy5Uq2bt1aNZQhPz+flJQU/P396d+/P7HGEqG9evXiwIEDZGdnc/DgQVq0aEFMTAwvvPACK1eupFevXlXHT0lJ8SpA9nydJk6ciI+PD126dGH//v311h0yZAhz585l2rRpTJo0qep9JoQQNXGXlbEnJR1XahauzEOkHywko7CMrDIT2cZKcABXuH7k3i1LoWkzDg29i/LwtoROvoaeEVE838Qfc/s2tO8UQ2jL07uORPz+zDaHL/ASMArIBH422xzLXXbrDo9is4E8l90aZ7Y5pgJPApUXMe122a09vTzcm8CvwCXGdjbwISABMkBAQEDVfV9fX8rLy72uu2TJEg4ePMjGjRvx8/PDbDZTXFxcZ52JEycyd+5cNm3aRFFREb179/a6LZPJhNvtrtqu3K9pGl27dmXdunUnHc/hcLB69WqWL1/OX/7yF7Zv347JVPtLWzkGOT8/n3HjxvHSSy9xzz33EBUVxapVq6rKZWZmMmLECKD+DHJUVBQZGRlERUVRXl5Ofn5+1VCN6j777DN69+5NmzZtqh7zvH/LLbcwbty4Gut6vpY+Pj5V2z4+Pqf0ulaqaxaX6r83RUVFNZarHIP80UcfMWPGDHbv3o3b7SY0NLTGbyVeffVVfvrpJxwOBz179mTLli1omsaLL754wth10IeVVAbvlSZPnszSpUvZt28fU6dOrTqPefPmcdttt9V5voGBgZSWluLv7w/A4cOHT8jye56zNzPc2Gw2rFYrK1asYODAgXz11VckJCTUW08IceHK3XeIg3syicjfR2lGBi/ugcCjuUze+Q2l2dlcc8XjFPk1AQLwdZtoW1ZAhE8JXZoUEtOinOjWoXSZcA2dLA/gExLCymrJltoHOYrzRH8g1WW3pgGYbY4k9JfVM0CeACww7i8FFpltjvq/bj9ZvMtuvd5sc1wL4LJbj3vbzkURIHvDz8+PsrKyky6uys/Pp3Xr1vj5+fHtt9+yd+/eettq1qwZI0aM4Oabbz5hGIE3bbVv354dO3ZQUlJCcXExX3/9NUOHDqVz584cPHiQdevWMWjQIMrKyti1axcWi4WMjAwuvfRShg4dynvvvUdhYaFXszOEhITwwgsvMGHCBO644w7GjBnDI488Ql5eHqBnNSuzvPVlkMePH8/ixYsZNGgQS5cu5bLLLqs1g/yf//znpOEVOTk5VZnhjz/+mG7dutXb/zNh2LBhzJo1C5vNhqZpfPzxx7zzzjsNamvSpEksXryYxYsXc9tttxEbG8uHH37Itddei6ZpbN26lR49erB7924GDBjAgAED+N///kdGRgZjxozhlVde4bLLLsPPz49du3YRGRlZ43GmTp3KLbfcwqFDh/juu+8AGDNmDPPnz2fatGk0a9aMrKws/Pz8qoZ7VBo+fDjvvvsuN998M0VFRXzwwQc89dRTXp9jcHAwBQUFVdu7d++me/fudO/enXXr1pGcnCwBshAXuNLiEtJT0knbncXezFzScwvJKKwgq8yXHN+mFPoF0v7oPl795hkAdg+ZQ2hAAIGJiTS3juUvTX0Ia9ucDnFRRMVFy0wQFx6TUmqDx/Zrmqa95rEdCWR4bGcCA6q1UVXGZbeWm22OfKClsS/WbHNsBo4Cj7rs1u/r6Eup2eZogn5hHmabIxYo9eokvCl0Mbj11ltJTEykd+/eLFmypOrxadOmcdVVV9G3b1969uzp9T//66+/nkmTJp1wwZw3bUVHR3PdddeRmJhIfHx81Vfm/v7+LF26lHvuuYf8/HzKy8u577776NSpEzfeeCP5+flomsb9999PaGioV2OQQf/KvkePHiQlJTF9+nTmz59Pv379AHjsscdqzQJXN3v2bKZPn05cXBxhYWFV552dnc2cOXOqZo04fvw4X375Jf/85z9PqP/HP/6RLVu2oJTCbDaftP9s6d27N7NmzaJ///6AfpFer169ah1OUZ/HHnuMG264gVtuuYUlS5Zwxx138MQTT1BWVsbUqVPp0aMHDz30ECkpKWiaxsiRI+nRoweJiYm4XC569+6Npmm0atWKTz75pMZjdO3alYKCAiIjI6s+VIwePRqn08mgQYMA/UPau+++e1KA/Pzzz3PbbbfxwgsvoGkaM2bMOKVxypdeeil2u52ePXsyb9481qxZw7fffouvry9dunThyiuvrL8RIcQ5ze12k7vvEM0O6RngL5MPseVQCbfkrKMsI4OH249lY+vORukm+FVUZoFL6RFYQHSLCuJ6RhF77yf4RUbxbrNq34L9/qckfl/lmqb1rWN/Tdmz6l9Z1lYmB4hx2a25ZpujD/CJ2eboWse0bQuBz4Eos82xGBiOPnyjXrJQiBBCCHGRKTpezN6dLlxpObiycknPPUbmsXKyyv3IMTXluKkJSz99lKblxbxluZKvzf34IGc5AdHR/NiqE4UhrYiNDsccH01kbCS+pt9/CkpxbqpvoRCzzTEIWOCyW8cY2/MAXHbr3z3KfGGUWWe2OUzAPqCVy27VqrW1CnjQZbd6ZqyrH68VMBg96F7rslsPeHMekkEWQgghLkAVhYWUZWaS4tzLl6mHGXc0hYCMPfynNJx/Rg9DMxbFgED8K0y0Ky8g0reMPoEFxIRVEPnsM7QwR/PXyEiebNoU0IfGXdNoZyQuED8D8cZwhyxgKnBDtTLLgZnAOvQvHb5x2a2aEewedtmtFWabowMQD6TVdiCzzfGYy25dCCwztn3MNsfbLrt1Rn2dlABZCCGEOA+53W4O5RwiLdlFmusArv1HSM8vJbPEh0yfIB7csIQ+B3axsY2FFwbNJm7zVhJDTfSICWFOcD7t2zbHHNOa2Lgo2sZTMiwHAAAgAElEQVS0kyyw+F0YY4rvBr5An+btTZfdut1scywENrjs1uXAG8A7ZpsjFTiMHkQDDAMWmm2OcqACuN1ltx6u43DxZpvjIZfd+rTZ5vAHkjjxYsBayRALIYQQ4hylud0cy97Hhl/SaJO/n5b70tmReZi/uuPIMjXjuOnEucdblRwlkmKim2hcF+FDj/i2aJFRaO2iCA2XKdHE2VffEIvfk9nm8AHeAzYCI4GvXXarV0sbS4AshBBCNKKy4hL27trL7tQs9mTmkn6okPRjbnof3MnYX77gqNuH66x/4dZfl3H13nUcNnfi+U5WYoIUMWFBxEaE0aFjBLEJZoKCz4m4RFzEzoUA2WxzJHps+qFnpNcArwG47Nat9bUhQyyEEEKIs+x4wTHy96TT7GA2RXszsO/WyCjSyHIHsM8/GLdP5fCGQAIqfImoKKBHWCta3HADbWKieT2wKd1umkfbjtEok4khjXo2QpzzXqq2XQD0MB7X0Idq1OmCzSD/9a9/5b333sPX1xcfHx/++c9/MmDAAPbs2cPUqVM5fPgwvXv35p133qlaNKE+V1xxBT/++CNDhw7l008/rXq8tjZLSkqYMWMGGzdupGXLlrz//vuYzeaT2v3888+59957qaioYM6cOdhstgY9HwCDBw9m7dq1uFwuxo0bx7Zt21i1ahXPPPMMn376KcuXL2fHjh2ndYzc3FxGjhwJwL59+/D19aVVq1aAvixyTc9namoqkydPrnHhDCGEuBAUFR4nzbmH1NQs0rIOQ95hJmWup3TvXmZ1nUHs0Rz+9LM+z/oto2w09dWI8nMT09yP9q2C6dC+FR06tSciNgIfH596jibEuelcyCCfCWctg+xMsDQBVgMBxnGWWpKdf3YmWGLRB0mHAZuA6ZZkZ6kzwXLSutuWZKerIcdet24dn376KZs2bSIgIIBDhw5RWqrPC/3www9z//33M3XqVG6//XbeeOMN7rjjDq/afeihhzh+/PhJc/TW1uYbb7xBixYtSE1NJSkpiYcffvikBTcqKiq46667+PLLL4mKiqJfv36MHz+eLl26NOTUWbt2bZ37x48fz/jx4xvUdqWWLVtWBboLFiygWbNmPPjgg6fVphBCnA+00lJKM7NYu3k3v+7NxZV7nPQijQytCQf8gz1mhggmrqCQq4uLaTqgP3e0VIS164H5oXH4x8SwxovFnIQQp8dscwQD8/ktY/wd8ITLbi2ovZbubH5ELQEusyQ7ewA9gSucCZaB6OtpP2dJdsYDefw2YfNsIM+S7IwDnjPKNUhOTg7h4eFVy+aGh4cTERGBpml88803TJ6sT1M+c+bMWhdjqMnIkSMJDg4+4bG62ly2bBkzZ84E9OWBv/7665OW712/fj1xcXF06NABf39/pk6dyrJly0469ogRI7j//vsZNmwYFouFn3/+mUmTJhEfH8+jjz5aVa5Zs2Z1nsNbb73F3XffDcDevXsZOXIkiYmJjBw5kvT0dABmzZrFPffcw+DBg+nQoQNLly71+jkCeOqpp+jWrRvdunXjxRdfPGl/amoqvXr1YtOmTZSXlzN37lz69+9PYmJi1cImX331FSNHjmTSpEl07tyZGTN+m5HloYceokuXLiQmJvLwww+fUt+EEKI+ZSWlpP6awhcffUvu4nfY95cneOoPT2K9+3WSe/UmbexYXlu2gWcPNGNlcTCFbh8S/YqY0zyfv8W7eX90azbdN5CvXpqD+f0kIp58khv/OIux060EJibiK8GxEL+XN4EyYIZxKwX+7U3Fs5ZBtiQ7NaDQ2PQzbhpwGb/Nd7cYfa3tV6hh3W1ngkUZ7ZyS0aNHs3DhQjp16sTll1/OlClTGD58OLm5uYSGhmIy6acdFRVFVlYWAEuWLOHpp0++sDEuLq7OALGuNrOysoiOjgbAZDIREhJCbm4u4eHhVfU9y1TW/+mnn2o8lr+/P6tXr+b5559nwoQJbNy4kbCwMDp27Mj9999Py5Yta6xXm7vvvpsZM2Ywc+ZM3nzzTe65556q4D4nJ4c1a9aQnJzM+PHjqz4A1Gf9+vUsWbKE9evXU1FRQf/+/Rk+fDhBQUEAOJ1ObrjhBt5++226d+/Oyy+/TOvWrVm/fj0lJSUMHDiQ0aNHA7Bp0yZ27NhB69atGThwID/++COxsbGsWLGC7du3o5TiyJEjp3TOQggBUF5WTnpKOqm70klLP4TrUCF7C91kuP3J8W9OhTEmeMlnLxLuW0HTxMtp2yqc0DlzCDSb+Ut4JM1jYwiPaCXDIYQ4d8W77NZrPbbnm20Or8Z6ntWL9JwJFl/0qTXi0AdG7waOWJKd5UaRTPT1tsFj3W1LsrPcmWCpXHf7kGebSqlbgVuBWscON2vWjI0bN/L999/z7bffMmXKFOx2O1ar9aSySumrGU6bNo1p06ad8jnWNIa7ss269nlTv7rKoRHdu3ena9euVcsMd+jQgYyMjFMOkNetW8dHH30EwPTp0/njH/9YtW/ixIn4+PjQpUsX9u/f73Wb33//Pddcc01VQDxx4kTWrFnD6NGj2b9/P1dffTWffPJJ1TLbK1euxOl0Vi1NnZ+fT0pKCgADBw6sOseePXvicrno06cPPj4+3HLLLVitVsaNG3dK5yyEuHhUlFdQeuAA7vS9JCen8989RUw5tIVmrhTeM7XnDctYo2QgAeW+RLoLiDOVMrLpEWLbNKejuTU97/0fQW1b07na32XJAQtxXig22xyDXHbrOgCzzTEQKPam4lkNkC3JzgqgpzPBEgp8DFhqKFYZIXqzNjeapr2GMU1H06ZNa80u+/r6MmLECEaMGEH37t1ZvHgxM2fO5MiRI5SXl2MymcjMzCQiIgJoeAY5PDy81jajoqLIyMggKiqK8vJy8vPzCQsLO6F+ZZlKnvWrqxwy4uPjU3W/cru8vLzGOqfCMzD3bP9ULuSsq2xoaCgRERH88MMPVQGypmm8/PLLVRf9Vfrqq69O6IOvry/l5eX4+fmxYcMGvvzyS5KSknjllVdYuXKl1/0TQlx4juQeYdevqaTuzmF3zhH25Jeyt8yPTFMwD218jyE529gVHseHg2Yz6GABPWPNjIzsRERICR1iWhNnaU9kbKRkgoW48NyJvuBIZUBRBEz3puLvMs2bJdl5xJlgWQUMBEKdCRaTkUWOArKNYplANJDpTLCYgBD01VNO2c6dO/Hx8SE+Ph6ALVu20L59e5RSXHrppSxdupSpU6eyePFiJkyYADQ8g1xXm+PHj2fx4sUMGjSIpUuXctlll52UHe7Xrx8pKSns2bOHyMhIkpKSeO+99xpy2qds8ODBJCUlMX36dJYsWcLQoUNPu81hw4Zx22238dBDD1FRUcGyZcuqLkwMCAhg2bJljB49muDgYK677jrGjBnDyy+/zPDhwzGZTOzcuZOYmJha2y8oKKC4uJhx48YxYMCABl/MKIQ4v1SUlrF7RxqmfVmEZO9ld1o2fzsWQboK4rB/5bUXPvhoobQtO0q0Twn9gvLpeuNkYrrMJTY6huvatsXXNBHQ/9kMbrSzEUKcTWabY5LLbv3IZbduArqabY4wQLns1lxv2zibs1i0AsqM4DgQuBz9wrtv0dfVTkJfZ7vyirST1t1uyPhjgMLCQv7whz9w5MgRTCYTcXFxvPbaawA8+eSTTJ06lUcffZRevXoxe/bselr7zSWXXEJycjKFhYVERUXxxhtvMGbMmFrbnD17NtOnTycuLo6wsLCqYQTZ2dnMmTOHFStWYDKZWLRoEWPGjKGiooKbb76Zrl27NuS0T9kLL7zAzTffzNNPP02rVq3497+9Grdep/79+3P99dfTr18/AO644w66d+9OamoqoA9/+fTTTxk1ahRNmzbltttuIz09nZ49ewLQunXrGi9SrJSfn8+kSZMoKSnB7Xbz7LPPnnafhRDnBrfbzcHMA+zakUbKnn2k7S8gJi+LkbvWcDR7H1df+Rdm7PiM63d9jdYqgvI+0xkUcIzYMDcdI8Po1CmKDl07EhjUpP6DCSEuZI8CH1Vu1LMcdY3qnAfZmKptHHAJEIGemt4GOCzJzu11NexMsCSiX4Tniz5bxgeWZOdCZ4KlA79N87YZuNGS7CwxjvUO0Atj3W1LsjOtrmPISnpCCHH+cRcXU7p3LyvWp5GSdZg9eSXsLfEhw7cZhX6BVeX8KsoZeySZh5pk4m+O5dvmHeneOYJO3eMwtWjRiGcghKjNuTAPstnm2OSyW3ufThu1BsjOBMsC4CpgFfqFdgeAJkAn4FLj/gOWZGe9y/WdLRIgCyHEucntdpOZmkFWiovOeZmU7tmD/VAIJQXHuGfd26BpzBr1CPubhtGq5CjRFGMOgg7hTYmLCSeucwzmzmZMfrLgqxDnk3MkQD4OpNawSwGay25NrGHfCer6y/OzJdm5oJZ9zzoTLK2B2geLCiGEuOCVFhWTuj2N5OR0UjNz2Z1Xwp4SX9JNwRSbAggpKSTpsyfwCQoiqO81BIaHEX7XXfjHmnknPIp2ncwEtwhp7NMQQlxY9qAneRvslJaadiZYfIBmlmTn0dM56JkiGWQhhPh9VBQWsnvrLn7ekcGo/N2UpKXxj+J2fNKye9WcwQCtSo7SXhUR29SHuNbNiDe3YWi/Tvi1aV3rFJZCiAvHOZJB3uyyW3udThv1fnflTLC8B9wOVKAPtQhxJlietSQ7T54TTQghxHnL7XaTvSebnTv2sGvPPnYfKGTPMY37t31My4xUPu54Ca91n0CHlR/Qul04PeLbEhycT3xEKJ066mODQ1pKNlgI0eh+ON0G6s0gOxMsWyzJzp7OBMs0oA/wMLDRkuysd/zG2SYZZCGEOHVaeTmlGRns3pbKCuch0g4XkVbsQ7opmOOm32aACCovJqa8kHkB6XTt2JaCSDPF7aKJ79oBU0DNCzUJIS5u3mSQzTbHFcDz6BM5/Mtlt9qr7Q8A3kaPO3OBKS671eWxPwbYASxw2a3PnNkz0Hlz9YOfM8HiB0wEFlmSnWXOBEuDpl8TQgjx+ykqPM7OX1MJyMqgZVYqu9P2YVNdmL11Gf2yt7OpVScWDbmVliWK9qqIsU2O0qGVm86xbejUNfakxTPCG/FchBAXBrPN4Yu+uvIo9DUwfjbbHMtddusOj2KzgTyX3Rpntjmmok8TPMVj/3PAZ2ezn94EyP8EXMAvwGpngqU9cE6MQRZCCGEEwltTcCZnsCsrj9T8UtLKm5AT0By38uH6nV8yY9dXBJk7Ep0QT+tRl9Eu4Uauam9mXHR7QlvJlGlCiN9NfyDVZbemAZhtjiRgAnpGuNIEYIFxfymwyGxzKJfdqpltjolAGlDnEAKzzeEDDHTZrWsb0sl6A2RLsvMF4AWPh/Y6EyyXNuRgQgghGs5dUsKvG5yUZmTSPieVo7vTmGnqT05ACG7lAyh83CFElR8lzlTCFcFH6BwVRu/Jt9Ah8Sl8/P15t7FPQghxoTMppTZ4bL+madprHtuRQIbHdiYwoFobVWVcdmu52ebIB1qabY4i9KG+o4AH6+qEy251m22O/wMGNegk6ivgTLAEANcA5mrlFzbkgEIIIep2vODYCRlhn7zD3LDjM8oyMrnr0gdpX7CPRze9h3/79vSydOXKYOgUHUZCQjSdusfTRFaSE0I0nnJN0/rWsb+m6WyqD92trczjwHMuu7XQbHN405eVZpvjGuAjl916SsODvRlisQzIR5/BouRUGhdCCFE7d3ExOzYl84szg11ZR9idX0aaO4Ac/+ZoygfwwdcdSo+yIm5OsBAy7ir+2qoNbeL60znxAZS/P4sa+ySEEOLUZALRHttRQHYtZTLNNocJCEFfZXkAMNlsczwFhAJus81R7LJba/tTOBdoClQY2efKhUKa19dJbwLkKEuy8wovygkhhKhBWUkpFRnplKak8NnWbL47UM7cbR9Rlp7B3/tN54eIRHzdIURV5NPZr4RxzfPpFN0SiyWGuK4dCfDICA9vxPMQQogz4Gcg3mxzxAJZwFTghmpllgMzgXXAZOAbIwN8SWUBs82xACisIzjGZbcGN7ST3gTIa50Jlu6WZOevDT2IEEJcDNxuN5kp6Wzbupsdew6QkltEaomJdL8Q/v3l32hZfJSU+BFs6zgEldCV8KvG80C7jjwSE0189zj8mwQ09ikIIcRZZYwpvhv4An2atzdddut2s82xENjgsluXA28A75htjlT0zPHUhhzLbHMoYBoQ67Jb/2K2OaKBdi67dX19db2ZB3kHEIe+bF8JRnpa5kEWQlzMyvPyKE1NZfMvu1maVkTKcdjj25xjfr9le1uVHKWDKiI+xMSsLiFEdeuEf4cO+ARIICyEuDCdCyvpVTLbHK8AbuAyl91qMdscLYCVLru1X311vckgX3m6HRRCiPPV8YJj7Ni0k6Y56YTt3cX2tP08FNSP+zf8hz4Hd5HSxsKXfW+ggyrgisCjdGqj0aVTJF17diKsTcvG7r4QQlzMBrjs1t5mm2MzgMtuzTPbHF6tcuTNNG97nQmWHvw27uN7S7Lzl4b3VQghzj0V5RWk7djN1l/SSE4/xK68UnaX+5NtTKE2Y8dX3OD6nhadutAv9DgxU68hOjGWDvHxzGjd+oQFNYQQQpwTyoyFSTQAs83RCj2jXC9vhljcC9wCfGQ8dDXwmiXZ+WKDu3uGyBALIURDFOTlc9iZQvP0VI44d3F3fgxppuYUmfShD0pzE1GST5yplE4t/Okc3ZK+PTvSvksHlMmbL96EEOLidI4NsZiGvgJfH+At9Av+HnXZrR/WV9ebAHkrMMiS7DxmbDcF1skYZCHEuc7tdpO+cy9bf0mlICOL4RmbKd6ZzI2dptEpL515G5bgExzMwsGzadc8gC4RIXSzRNO1dwJNmzdr7O4LIcR551wKkAHMNkcCMNLY/MZltzq9qedNKkQBFR7bFdQ8gbMQQjSa4wXH2LbRya/OdJxZR9l1TGO3z28XzbU55suAXck06ZzAH6LdtB0+gLgnb8IUEcESJX/ShBDiAhWEPluGBgR6W8mbDPJc9LnoPjYemgi8ZUl2/qNh/TxzJIMsxMVH0zT2u7LYvnknPQ7upmRnMn8vaMuKMIux3DI0KS+hY/lROjXVsLRrTrfOUXTvm0Bwi5BG7r0QQlzYzqUMstnmeAy4FvgvenJ3IvChy259or663lyk96wzwbIKGGo0fpMl2bn5tHoshBBeqCivIHVbCr9s2c22vblMSV+L346tvNO6D+8mjGap42VC2oTTs1s4bYLz6WIOJzGxAx26dMTX5NvY3RdCCNG4rgd6uezWYgCzzWEHNgEND5CdCZbmlmTnUWeCJQxwGbfKfWGWZOfh0+y0EEJUKS0u0Zdd/tXFtsw8kgs1dvs257hJHyJhcocwoAh6jbyMazt0ZVS7lnSZ9x2BoSHENXLfhRBCnJNcQBOg2NgOAHZ7U7GuDPJ7wDhgI8b0GAZlbHc41V4KIQRAceExNv+4nbDsNJqn7OCHPXnMa3c5Zb4mwEST8ubEaUcZ26SAblG+JHYz07V3AgFBEwCIaNzuCyGEOD+UANvNNseX6LHrKGCN2eZ4AcBlt95TW8VaA2RLsnOc8TP2zPZVCHExyTtwmC3rd7B1ZxYR+/fQe8cacrJyuXHMo9y+9Ssm5W7D3K0XU5oeoVv7cBJ7dKBT93hMfjKdmhBCiNPyMb9dQwewytuKtV6k50yw9K6roiXZucnbg5wtcpGeEOeWw/ty2fTTNrbszGbbgSKSK5qwL+C3C+PG7dvCw00yCbBY+LF1Z/r17UzbuPYomUVCCCEuCOfSRXqno64Uzf/VsU8DLjvDfRFCnEeO5B4hc/MO2u1Npnj7Nm4q68aupm2Mvc2JKHdj8SvmmhaQGN+Onn0ttImxVtUf3zjdFkIIIepV7zRv5zLJIAvx+yg8UsDmn7axO3kvozI3UbxtG39sO5K8JsG89O1z+EVE8F7P8QS1bU2vzhH0GtCNsLYtG7vbQgghfmcXSga5riEWk+qqaEl2flTX/t+DBMhCnHnHC47xy0/b2bx9L9tyCthR7Ed6QChu5YPS3Cxb/wItunRme1xvVPtYRo7ogSksrLG7LYQQ4hxwLgbIZpujqctuPaWAsa4hFlfVsU8DGj1AFkKcnrKSUspSUyj5dRv/25rN4uMt2eMfitvHFwgipFTD4lvI5c3z6RnXll79Eoh88ksAohu360IIIUSdzDbHYOBfQDMgxmxz9ABuc9mtd9ZXt65ZLG46nU45EyzRwNtAW8ANvGZJdj5vzKv8PmBGn5/uOkuyM8+ZYFHA88BY4Dgw61y4EFCIC4Xb7SYzJR12OQnY8Svf79zPn1oO5ZnVLxGXn0V5x/6EdR7OJcH59OzYmt79LER1jMLHx6exuy6EEOICYrY5rkCP+XyBf7nsVnu1/QHoMWQfIBeY4rJbXWaboz/wmlFMAQtcdqvnLBXVPQeMAZYDuOzWX8w2xzBv+ljXQiE3WpKd7xpLTZ/Ekux8tp62y4EHLMnOTc4ESzCw0Zlg+RKYBXxtSXbanQkWG2ADHgauBOKN2wDgFeOnEKIB8nPz2bB2K5t3ZPDLgSK2a0057B/MHb98zITM9cR078uEwHzaP3g/HQcmkhAVxc0ym4QQQoizyGxz+AIvoc9JnAn8bLY5lrvs1h0exWYDeS67Nc5sc0wFngSmANuAvi67tdxsc7QDfjHbHP9z2a3ltR3PZbdmmG0Oz4cqvOlnXUMsKsePBHvTUHWWZGcOkGPcL3AmWJxAJDABGGEUW4w+J93DxuNvW5KdGvCjM8ES6kywtDPaEULUQSsv52jyLj78LpktmUfYVuTH3oBQNOUDhBBZ4aZfwHF6tPPlsvF30rnvyyh/f/o3dseFEEJcbPoDqS67NQ3AbHMkoceAngHyBGCBcX8psMhscyiX3Xrco0wTTlzIriYZxjALzWxz+AP3AE5vOlnXEIt/Gj8f96ahujgTLGagF/AT0KYy6LUkO3OcCZbWRrFIIMOjWqbxmATIQlRTfvAgxzdvZtGP2QRkZ2Bd/wnlRcU8bX2CAHcwFp8CRofk07tzJP0Gd6Nlu1aN3WUhhBACao73qo8YqCpjZIvzgZbAIbPNMQB4E2gPTK8rewzcjj6UI9I4zkrgLm86WdcQixfqqmhJdta6PF+1dpoB/wXusyQ7jzoTLLUVrem73ZM+GSilbgVuBfD39/emC0Kc18pKy9j28w5+2pjCpsyjFOYXMv+7VwDYOPhWWgU2J3TSJAJ7JPJVRwuRCR1k3LAQQojGYlJKbfDYfk3TtNc8tr2J92ot47JbfwK6mm0OC7DYbHN85rJbi2vpi3LZrdO87binuoZY3I4+1uMDILuWztbJmWDxQw+Ol3hMC7e/cuiEM8HSDjhgPJ7JiRfGRxnHPYHxJL8G+jRvp9onIc51eQcO89P3v/CzM4sth8vY4RNCkSkACCSsvIJewW5a/fFhgnr14AOLBd8mTarqhtTerBBCCPF7KNc0rW8d+72J9yrLZJptDhP6v7fDngVcdqvTbHMcA7oBG6jZWrPNsQd9coj/uuzWI96eRF0BcjvgWvRB0eWVjVuSnXneNGzMSvEG4Kx2Qd9yYCZgN34u83j8bmeCJQk91Z4v44/Fhc7tdpO6NYWWaU5Kt2zmlUwf3mnVG0354KOF0MF9GGtQPn06tGLAwC6YE8ySHRZCCHE++xmIN9scsUAWMBW4oVqZylhxHTAZ+MZlt2pGnQxj2EV7oDP6jGg1ctmt8cbMF1OBP5ltjh1Akstufbe+Tnq1kp4zwRIJXA/MBR62JDvf8aLOUOB74Ff0ad4AHkEfh/wBEAOkA9dakp2HjYB6EXAF+jRvN1mSnbV9IgBkoRBx/ik5XsyGNb8QnradoF834cgswW6ZyCtfP0MHjrGj7+XsjOlKv24x9B2cSEhLyQkLIYQ4f3izUIjZ5hgL/AN9mrc3XXbrX802x0Jgg8tuXW62OZoA76Bfv3YYmOqyW9PMNsd09NnPytBjy4Uuu/UTb/pltjnCgWeBaS671bfe86gvQHYmWHqjB8ejgI3A/1mSnTvqrPQ7kQBZnOsK8vL5afUW1v2azsbccnaYWlDq68cftixlIvso7DmADTGJjL2kC227dkJJdlgIIcR57FxaSc9sczQHrkbPIHcEPgY+cNmtG+urW9dFeo8D49Cnw0gC5lmSnXVdKSjERe/4oVy++nIjPybnsClfY5d/GG4fX3y0UOK1XK4JzGdAQluG/sFOeGQbAHo0cp+FEEKIC9QvwCfomeZ1p1Kx1gyyM8HiBtKAIuOhyoIK0CzJzsSG9fXMkQyyaGxl+/ez/LMNlKalMmDzVxSm7mHyuCfQgC7lefQOMzGwaxQDh/cipGVoY3dXCCGEOKvOlQyysSDJ0y67tcYF7+pT10V6sQ3rkhAXrrQdaaxevZUsVzZTNnxMWWYmbw69E18fX4a0aUuEdRxJcW2wDOxBYLOgxu6uEEIIcVFy2a0VZpujwV/S1pVBVsaqdrXypszZJBlkcbZlpKazetUW1qYeYmNJE/YF6BfNtSwp4L/la/n/9u47Pqoq///465BCCUW6QMRBgmRohhKagihSZFxwXXVRdgHbqoviur8vOPbytYyra1cURQUXBQEpOkhTEb8uSBNRnFCEEYJ0Qq9Jzu+PuYlDSJmEMgm8n49HHjP33HPO/cxcwQ8n555TtV1b9jVLoV4rN3HltS63iIic3UrLCDKAy+v/N9AEmADkJoxBn+eTAhs5ChtB/iqQ7J4ETHWnBdbnFAaS3fHAJYSW3/gKeL9kYYuUPpnbtzN/9ndM/HEriw/EsbFCdSCGyker0iZmNwPPjeOSTsm0SG1OuXL9AagR3ZBFREQkfzWAHcDlYWUWKDJBLmwEuQJwMzCA0HSLXYT2vY4htFXf6+60wLITCvsEaQRZTlRmRgarvl7Iu4t/o9+KWdQKLO7VTO8AACAASURBVGNWw1TeatWPFLubDvUT6NL+Qi7q1IqY2CJXhRERETmrlaYR5BMR6TrIcUAt4KA7LRDxLiSnmhJkKa4De/fzzZxFzFv2K83WLKHNktmkJ9Ti7svu5bH9S7mizfnEpXagkjtZUyZERESKqTQlyC6v/0JgBFA36PO0cHn9rYC+QZ/nyaLaRpQgl1ZKkKUoWZlZ/DB/OV/NT+O/mw6yPLYGR2PiiMvKZND+AHe0OoeKqe2Ja96c+Arlox2uiIhImVbKEuSvgWHAW0Gfp7VT9lPQ52lRVNvC5iCLlElHN2/m46kLmLtmBwuzqrA7PgGoygX2KNdV2k3XVg3p0iOVhKr9oh2qiIiInDqVgj7PQpfXH14W0Z4eSpClzMvev595M+fzww9ruWrRVI6sXcvYLkPYXKU2neL2cUlSBS67vA0NLkiMdqgiIiJy+mx3ef2NcfbycHn91wKbImlYZIIcSHbfBYx1pwUyTihEkZMkOzubtO9XMnvucq5aMYujixbxWZOefN6oI54G51HnuusY1aYDdVs2pZy2bhYRETlbDQFGAskur38jsA74SyQNi5yDHEh2P0loD+ulwLvAzGiufRxOc5DPHvt272PuzAV8uXwD/91fPnc94lfWTqZDalOyOlxM9batqZhQMcqRioiInL1K0xzkHC6vPwEoF/R59kbaJtJVLAzQE7gJaAd8DIxypwV+KWGsJ4US5DPbqh9WMevLZczbsI/vY0IP11XIPEw7u4tLG1WjZ4+2nN/UFe0wRURExFGaEmSX138P8B6wF3gbaAN4gz7PrKLaRjQH2Z0WsIFk92ZgM6HJzdWBiYFk92x3WmB4iSMXCXPk0GG2freE2G/nsnLBDwxqNhBI4LzsI1xbeTeXtzmfS3p2p2KlCtEOVUREREq/m4M+z8sur78XUIfQQO97hPbzKFQkc5CHEto1bzvwDjDMnRY4Gkh2lwNWA0qQpcQO79nL4W//jz1ffMn1R1ri3r6OYT99gqtjBx5pcICu3VqT1DIp2mGKiIhI2WOc1z7Ae0Gf5weX128Ka5AjkhHkWsA17rTAr+GF7rRAdiDZfVXx4hSB9at+ZfqMhXwR3Mvmw/DWF88RW706Ay9N5Py+nbjwnWGUq1SJm6MdqIiIiJRlS1xe/yxCO0Lf7/L6qwDZkTQsMEEOJLtrOG9fynMMgDstsNOdFgiULF45m2RnZ/PD/OV8/vVPfLU1i9UVagGVaJB9mG61s6g/5gOqtW3NhTHayllERORM5/L6ewMvAzHAO0Gfx5fnfHlgDNAW2AH8OejzBF1efw/AB8QDR4BhQZ/ny0IudQuQAqwN+jwHXF5/TULTLIpU2AjyEpx14/h9iDqHBS6I5AJydrLWsmr+MsbOXs6cjFh+q3AOxlajOTsYWnMPvbun0KyNO9phioiIyGnk8vpjgNeBHkA6sMjl9U8L+jw/h1W7BcgI+jxJLq+/P/As8GdC033/EPR5fnN5/S2AmUCDQi5ngWbAVcATQAIQ0YNMBSbI7rRAo0g6EMmRlZnFwrlLKL/wW6rO+YwlRyoxtvNttCu3nVsaHsbj6cS559eLdpgiIiISPe2BNUGfZy2Ay+sfB/QDwhPkfsBjzvuJwGsur98EfZ7vw+qsACq4vP7yQZ/ncAHXeoPQlIrLCSXIe4FJQGpRQUa0ikUg2X0NcAmhTPwbd1pgSiTt5MyXlZlF+ndLKP/1HDZ9MY+/tr2Tfus2848mTejZsxe9OneiZr3a0Q5TRERETo9YY8zisOOR1tqRYccNgA1hx+lAhzx95NYJ+jyZLq9/N1CT0Ahyjj8B3xeSHAN0CPo8bVxe//dOXxkurz8+og9RVIVAsvsNIAn4yCm6I5Ds7uFOCwyJ5AJy5snOzmbxvKV88uVPzNpXgXP3bueF78ZTq0sX3mhhSP2f+6hep0bRHYmIiMiZJtNa266Q8/mtIpF3U45C67i8/uaEpl30LCKWo86Ujpytpmtzog/phbkUaJGze14g2T0a+DGSzuXMElgaYNL0JXy+3bCxwjnEZVWnY7nteDo3osmL3xJTuTLnRTtIERERKc3S4Zh0IRH4rYA66S6vPxaoBuwEcHn9icBkYGDQ5ylqw7pXnLp1XF7/U8C1wEORBBlJgrwSaAjkLPN2HrA8ks6l7Nv4ywYmTP4Wf/phVleohbHVaGO2cZvrKP2u6aqRYhERESmORUATl9ffCNgI9AduzFNnGqE9OOYTSmq/DPo81uX1nwP4gfuDPs+3RV0o6POMdXn9S4DuhEalrw76PBGtwFbkVtOBZPfXhCYzL3SKUp2ADwC40wJ9I7nQqaCtpk+NvRm72TPnSzI/ncJnmzJ5ru2NJB/ajuf8Cvyx78UkNk6MdogiIiJSCkWy1bTL6+9DaBnhGODdoM/zlMvrfwJYHPR5prm8/grAB0BrQiPH/YM+z1qX1/8QcD+hjepy9Az6PFsjic1JsIcEfZ6nivwcESTIlxZ23p0W+DqSoE4FJcgnj7WWg4sXs27Sp1ybmcKNabO44eg64q/qx6Eu3bkwpWm0QxQREZFSLpIE+VRzef3nAQ8D9YEpwIfA/wJ/BT4K+jz3FNVHkVMs3GmBrwPJ7nMJLcthgUXutMDmEwlcSo9fVwb58JNv2bFqLbfM/5DYSpUY2LseV/zjJhp3b48xEe3IKCIiIlJajAG+JrSkW29gAaFl4VoFfZ6IcthIRpBvBR4BviQ0f+NS4Al3WuDdksd9cmgEuQBr18IFBe/jcvjAIaZ+/AUfL9/CkrjaWFOO9oc28Va32lTr2YNylSqdxmBFRETkTFFKRpB/CPo8F4UdbwEaFrEk3DEieUhvGNDanRbYARBIdtcE/gtEPUGWfDzzDDzwADz9NNx//zGnfvn5F8ZM+JYpuyuwOz6BurYCt1bdTf8/dqJxM0+UAhYRERE5uVxef3V+Xy5uM1DJ5fUnAAR9np1FtY8kQU4ntPNIjr0cu8BzvgLJ7ncJbe231Z0WaOGU1QDGAy4gCFzvTgtkBJLdhtCe3H0IPfw32J0WWBpBbBJmyuMjeG5LPX4bPo36G3Yw7PER9HvwNpZP/4qn525gYVxtDNXpbLbx1/a1uaJvb2JiY6IdtoiIiMjJVA1YwrHrKefklRYo+NfsjkgS5I3Ad4Fk91Sn037AwkCy+58A7rTACwW0ex94jdA8kBxe4At3WsAXSHZ7neP7gCuBJs5PB2AEx++qIoWY8vgI7t9Th4NVQ1uMb6xam+F7j7C57620+C1AsNs93Fp1N3+9visNmzSMcrQiIiIip0bQ53GdaB+RJMi/OD85pjqvVQpr5E4LzAsku115ivsB3Zz3o4G5hBLkfsAYZzOSBYFk9zmBZHc9d1pgUwTxyTPP8NyWernJcY4jsfG81/hyZjesyH//dR0x8XFRClBERESk7IhkFYvHT+L16uYkve60wKZAsruOU57fvtwNgOMSZGPM34C/AcTHR7Sd9plt7VqyHniQjcOn5nt6a6XqVP3XmzB8WKEP7omIiIhISJEJciDZ/RXH75GNOy1w+UmMI5J9uUOF1o4ERkJoFYuTGEOZc/DAIT6csYz373oPTLl869TfuyP0wJ6SYxEREZGIRDLF4n/C3lcA/gRklvB6W3KmTgSS3fWAnJ1PItmXWxz7du3lvfemM3q9ZXv5KjSJ2cv1B39hWmwDDsX9Ps2i4tFDDKt78LjVLERERETOBi6vPwaoS1jOG/R51hfVLpIpFkvyFH3rbD9dEjl7a/uc16lh5XcFkt3jCD2ct1vzj4+XsS2DkaM+58OtseyOr0wKW3m647lc0fdKypUrR+fHR/DolgrsrlKLBnt3MKzuQa5+9M5ohy0iIiJy2rm8/ruBR4EtQLZTbIFWRbWNZIpFjbDDckBb4NwI2n1E6IG8WoFkd7oToA/4OJDsvgVYD1znVJ9OaIm3NYSWebupqP7PJll79rDz/fe5aUUsP1U/n45mC3dd3pBLeh67dvHVj97JrmuvhRGTGJzPOsgiIiIiZ5F7gKZBn2dHcRtGMsViCaFs2xCaWrEOuKWoRu60wA0FnOqeT10LDIkglrPKvl17efvtT7l08ltU3LmVO3tfTz1PJ9p0KWRTj6uugvbtYfjw0xeoiIiISOmzAdhdkoaRTLFoVJKOpeTskSNkTJjA/A8m83LKTVRu24O//v1PuN3uyDqoU6foOiIiIiJntrXAXJfX7wdyt5kO+jwF7eGRq8AEOZDsTgU2uNMCm53jgYQe0PsVeMydFihymz4pnuzsbCZ/OItls/7LjQsn0KJdOz7rXZsW3R6KdmgiIiIiZc165yfe+YlYYSPIbwFXAASS3V0JzR++G0ghtMzatSWJVPK39JvveeKTZSwrX4fG1RvzjzdHUuPSSzAmvxXwRERERKQwQZ+nxHt5FJYgx4SNEv8ZGOlOC0wCJgWS3ctKekE51pb0LTz5up/PsmtT1STwYOIhBt92A3HltQmKiIiInHlcXn9v4GUgBngn6PP48pwvD4whtDDEDuDPQZ8n6PL6awITgVTg/aDPc1cB/b8U9Hn+4fL6PyWffTWCPk/fomLMf3eJkJhAsjsnge4OfBl2LpKH+6QQ2dnZvP/mFK54cR6fZ9Xkhgo7meu9gtvu+lOpTo5jYmJISUmhRYsWXHfddRw4cACAGTNm0LRpU5KSkvD5fEX08jtrLUOHDiUpKYlWrVqxdOnSfOstWbKEli1bkpSUxNChQ7E29N/7hAkTaN68OeXKlWPx4sW59YPBIBUrViQlJYWUlBTuuOOOEn3ebt26HdPvqdKtWzeaNm3KRRddxMUXX8zKlSsLrOtyudi+fXvEfS9btozp06cXWa9y5coR95nX6NGjadKkCU2aNGH06NH51tm5cyc9evSgSZMm9OjRg4yMDADS0tLo1KkT5cuX5/nnny9xDCIiUvo56xK/DlwJNANucHn9zfJUuwXICPo8ScCLwLNO+SHgYY7doyM/HzivzwP/zuenSIUluh8BXweS3duBg8A3AIFkdxIlfCJQQn5emsYDH8xnWfk6tMzOwNe/Pc1Tm0c7rIhUrFiRZctCv0AYMGAAb775Jvfccw9Dhgxh9uzZJCYmkpqaSt++fWnWLO9/78f7/PPPWb16NatXr+a7777jzjvv5Lvvvjuu3p133snIkSPp2LEjffr0YcaMGVx55ZW0aNGCTz75hNtvv/24No0bN86NNRqysrKIiYmJuP7YsWNp164dI0eOZNiwYUybNu2kxLFs2TIWL15Mnz59Tkp/ee3cuZPHH3+cxYsXY4yhbdu29O3bl+rVqx9Tz+fz0b17d7xeLz6fD5/Px7PPPkuNGjV45ZVXmDJlyimJT0RESpX2wJqgz7MWwOX1jwP6AT+H1ekHPOa8nwi85vL6TdDn2Q/8n8vrTyrsAkGfZ4nzWtJ9OwoeQXanBZ4C/h/wPnCJsxRbTpu7S3rBs5nNymLHqFG89tyHrClXhYfPP8yU5waWmeQ4ry5durBmzRoWLlxIUlISF1xwAfHx8fTv35+pU6cW3QEwdepUBg4ciDGGjh07smvXLjZtOnaPmE2bNrFnzx46deqEMYaBAwfmJlNut5umTZuWKP6FCxdyzTXX5MZRsWJFjhw5wqFDh7ggbGvuCRMm0L59ey688EK++eYbIJT8Dhs2jNTUVFq1asVbb70FwNy5c7nsssu48cYbadmyJQD/+c9/aN++PSkpKdx+++1kZWUVGlfXrl1Zs2ZNoXVeffVV2rRpQ8uWLUlLS8v9PJ07d6Z169Z07tyZlStXcuTIER555BHGjx9PSkoK48ePZ9++fdx00020bNmSVq1aMWnSpNx+H3zwQS666CI6duzIli1bIvoeZ86cSY8ePahRowbVq1enR48ezJgx47h6U6dOZdCgQQAMGjQo9x7WqVOH1NRU4uLiIrqeiIiUaQ0ILb+WI90py7dO0OfJJDQwW/O0ROcodKqEOy2wIJ+yVacunDPXLz//woZ//Zu6C77i7h69eWToxZx7fr1oh1VimZmZfP755/Tu3ZuNGzdy3nm/7xSemJiYOwp877338tVXXx3Xvn///ni93nzbbty4kXr1fv9uNm7cSGJi4nF1irJu3Tpat25N1apVefLJJ+nSpcsx59u0acP3338PwDfffEOLFi1YtGgRmZmZdOjQ4ZjPunDhQqZPn87jjz/OnDlzGDVqFNWqVWPRokUcPnyYiy++mJ49ewKhRPWnn36iUaNGBAIBxo8fz7fffktcXBx///vfGTt2LAMHDiww7k8//TQ3uS5IrVq1WLp0KW+88QbPP/8877zzDsnJycybN4/Y2FjmzJnDAw88wKRJk3jiiSdYvHgxr732GgD33Xcf1apV48cffwTIneqwf/9+OnbsyFNPPcXw4cN5++23eeihhxg7dizPPffccTEkJSUxceLEAu9hXlu2bMm9r/Xq1WPr1q3H1RERkTIv1hgTPjdxpLV2ZNhxfqsP5J0nHEmdU0pziU+DnVOnMWhOBtUqtGSsryfV+vUrs6tTHDx4kJSUFCA0gnzLLbfkO1qc8/lefPHFQvvLmUucX9vi1MmrXr16rF+/npo1a7JkyRKuvvpqVqxYQdWqVXPrxMbGkpSURCAQYOHChfzzn/9k3rx5ZGVlHZNM54wyt23blmAwCMCsWbNYvnw5EydOBGD37t2sXr2a+Ph42rdvT6NGoeXDv/jiC5YsWUJqaioQ+v7qFLBO9YABA6hYsSIul4tXX3210M8XHtMnn3ySG8OgQYNYvXo1xhiOHj2ab9s5c+Ywbty43OOcqRDx8fFcddVVuf3Onj07N64BAwYUGEtJ7o+IiJyxMq217Qo5nw6cF3acCPxWQJ10l9cfC1QDSry8sMvrT3CmZ0RMCfIpdPDAIXY862Pv+PHc17kXLYfdwznusr3vSvgc5ByJiYls2PD7b0vS09OpX78+UPQIcmFtw/tPT08vtE5e5cuXp3z58kAo2WvcuDGrVq2iXbtj/8x26dKFzz//nLi4OK644goGDx5MVlbWMQ+L5fQTExNDZmYmEEoKX331VXr16nVMf3PnziUhISH32FrLoEGDeOaZZwqNF36fgxyJ/GJ6+OGHueyyy5g8eTLBYJBu3brl29Zam28CGxcXl1se3m9RI8iJiYnMnTs3tzw9PT3fa9etW5dNmzZRr149Nm3aVOA/FERE5Iy2CGji8vobARuB/sCNeepMAwYB8wktK/xl0Ocp9giyy+vvDLwDVAYaurz+i4Dbgz7P34tqW9gqFnICgoF1/PGBcbzxQwY1b7uVq0Y+j6uMJ8cFSU1NZfXq1axbt44jR44wbtw4+vYNraDy4osvsmzZsuN+vF4vAH379mXMmDFYa1mwYAHVqlU7ZnoFhEaDq1SpwoIFC7DWMmbMGPr161doTNu2bcud67t27VpWr159zLziHF27duWll16iU6dO1K5dmx07dpCWlkbz5oXPC+/VqxcjRozIHaVdtWoV+/cf/4/T7t27M3HixNzpBDt37uTXX38ttO+S2r17Nw0ahKZxvf/++7nlVapUYe/evbnHPXv2zJ1uAb9PsSjIgAED8r2HOaPnvXr1YtasWWRkZJCRkcGsWbOO+4cDhO51zgoXo0ePLvIeiojImceZU3wXMBMIAB8HfZ4VLq//CZfXn7P82iigpsvrXwP8E/DmtHd5/UHgBWCwy+tPz2cFjHAvAr0ILRVH0Of5AegaSZwaQT4F5s9ZyB3TgxyNrcId1/ehzo3HJwtnktjYWF577TV69epFVlYWN998c5EJZo4+ffowffp0kpKSqFSpEu+9917uuZSUlNzR6hEjRjB48GAOHjzIlVdeyZVXXgnA5MmTufvuu9m2bRsej4eUlBRmzpzJvHnzeOSRR4iNjSUmJoY333yTGjVqHHf9Dh06sGXLFrp2Df15adWqFXXq1ClyisCtt95KMBikTZs2WGupXbt2vqswNGvWjCeffJKePXuSnZ1NXFwcr7/+Oueff35E309xDB8+nEGDBvHCCy9w+eWX55Zfdtll+Hw+UlJSuP/++3nooYcYMmQILVq0ICYmhkcffTR3ykZJ1KhRg4cffjh3GskjjzyS+13feuut3HHHHbRr1w6v18v111/PqFGjaNiwIRMmTABg8+bNtGvXjj179lCuXDleeuklfv7552Omw4iIyJkj6PNMB6bnKXsk7P0h4LoC2rqKea0NLq8/vKjwJ+UdJr/5g2VFQkKCzW/ULpqmfjSL4Uv3U/PoAd4d1Jbk1smn9fo5I4eDBw8+rdcVERERMcYcsNYmFF3z1HN5/RMJjTa/BnQEhgLtgj5P/6LaagT5JHr7tUk8syGeC4/uZvQ/e1O34bnRDklERETkbHUHoR37GhB68G8WMCSShkqQT5KRr03i6fQKdDq6hbcfu47K51SJdkhSxv3xj39k3bp1x5Q9++yz+c7vFRERkWMFfZ7tQMHLMBVCCfJJMOqNT3g6vQKdj27hvSdvpHylCtEOSc4AkydPjnYIIiIiZZbL6x8N3BP0eXY5x9WBfwd9npuLaqtVLE7QlllzeDPtAB2ObGHU/yo5FhERESklWuUkxwBBnycDaB1JQyXIJ+DgihVk3DecN7bO5t3HrqeikmMRERGR0qKcM2oMgMvrr0GEsyc0xaKEdm3L4PWnP+Ca6jVo/erzxFatHO2QREREROR3/wb+66xmAaGl456KpKFGkEvoo3+9x6gGndn/4FPE1q4d7XBEREREJEzQ5xkD/AnYAmwFrgn6PB9E0lYJcgnsmTGDbp++zfjELbTr3iHa4YiIiIiIw+X1V3VeawCbgQ+BscBmp6xImmJRTPt27WXRS2/TqJmb5CFFPgQpIiIiIqfXh8BVwBIgfEc84xxfUFQHSpCL6Y03P2Vkq4HM+EN9TExMtMMRERERkTBBn+cql9dvgEuDPs/6kvShKRbFcHDfAT7aGkPbzB0kdUmNdjgiIiIiko+gz2OBEm8ooAS5GMb/ZxYZ8ZW57dLG0Q5FRERERAq3wOX1l2hEU1MsimHKygwa2jgu/8OV0Q5FRERERAp3GXCHy+sPAvtx5iAHfZ5WRTVUghyhHZu2sTy+FjdV2UW5chp4FxERESnlSjyiqQQ5QiuWrSbblCPVnRjtUERERESkAC6vvwJwB5AE/AiMCvo8mcXpo1QlyIFkd2/gZSAGeMedFvBFOaRcv6ZvA2Jp1Lh+tEMRERERKbNcXv8x+V7Q5/HlOV8eGAO0BXYAfw76PEHn3P3ALUAWMDTo88zM5xKjgaPAN4RGkZsB9xQnxlIzVyCQ7I4BXuf3D3JDINndLLpR/W791r0Ym835F54f7VBEREREyiSX139cvufy+vPme7cAGUGfJwl4EXjWadsM6A80B3oDbzj95dUs6PP8JejzvAVcC3QpbpylJkEG2gNr3GmBte60wBFgHNAvyjHl2rDnCLWO7KNCpQrRDkVERESkrGoPrAn6PGuDPk9B+V4/QqPAABOB7s66xv2AcUGf53DQ51kHrHH6y+tozpviTq3IUZqmWDQANoQdpwPH7eNsjPkb8DeA+Pj40xMZ4I1fz/aDB4AbTts1S2Lw4MHRDkFERETOXrHGmMVhxyOttSPDjiPJ93LrBH2eTJfXvxuo6ZQvyNO2QT4xXOTy+vc47w1Q0TnOWcWiapEfoqgKp5HJp8weVxD6kkcCJCQkHHf+VHH972O4TtfFRERERMqmTGttu0LOR5LvFVQnolwx6POc8FbHpWmKRTpwXthxIvBblGIRERERkZMvknwvt47L648FqgE7I2x7UpSmEeRFQJNAsrsRsJHQJOwboxuSiIiIiJxEi4AmLq+/sHxvGjAImE/oIbsvgz6PdXn904APXV7/C0B9oAmw8FQEWWpGkN1pgUzgLmAmEAA+dqcFVkQ3KhERERE5WZyH5o7J94I+zwqX1/+Ey+vv61QbBdR0ef1rgH8CXqftCuBj4GdgBjAk6PNknYo4jbWnbRrvSZeQkGD3798f7TBEREREBDDGHLDWJkQ7jhNVakaQRURERERKgzI9gmyMyQYOnsZLxgIlWk9PSgXdv7JN969s0/0r23T/yrbTef8qWmvL/ABsmU6QTzdjzOIili6RUkz3r2zT/SvbdP/KNt2/sk33r/jKfIYvIiIiInIyKUEWEREREQmjBLl4RhZdRUox3b+yTfevbNP9K9t0/8o23b9i0hxkEREREZEwGkEWEREREQmjBFlEREREJIwS5AgZY3obY1YaY9YYY7zRjkciZ4w5zxjzlTEmYIxZYYy5J9oxSfEYY2KMMd8bYz6LdixSfMaYc4wxE40xac6fw07RjkkiZ4y51/m78ydjzEfGmArRjkkKZox51xiz1RjzU1hZDWPMbGPMaue1ejRjLAuUIEfAGBMDvA5cCTQDbjDGNItuVFIMmcD/s9a6gY7AEN2/MuceIBDtIKTEXgZmWGuTgYvQvSwzjDENgKFAO2ttCyAG6B/dqKQI7wO985R5gS+stU2AL5xjKYQS5Mi0B9ZYa9daa48A44B+UY5JImSt3WStXeq830vof84NohuVRMoYkwh4gHeiHYsUnzGmKtAVGAVgrT1ird0V3aikmGKBisaYWKAS8FuU45FCWGvnATvzFPcDRjvvRwNXn9agyiAlyJFpAGwIO05HCVaZZIxxAa2B76IbiRTDS8BwIDvagUiJXABsA95zpsm8Y4xJiHZQEhlr7UbgeWA9sAnYba2dFd2opATqWms3QWjQCKgT5XhKPSXIkTH5lGl9vDLGGFMZmAT8w1q7J9rxSNGMMVcBW621S6Idi5RYLNAGGGGtbQ3sR7/eLTOcuar9gEZAfSDBGPOX6EYlcuopQY5MOnBe2HEi+hVTmWKMiSOUHI+11n4S7XgkYhcDfY0xQUJTmy43xvwnuiFJMaUD6dbanN/aTCSUMEvZcAWwzlq7zVp7FPgE6BzlmKT4qstKNwAABTVJREFUthhj6gE4r1ujHE+ppwQ5MouAJsaYRsaYeEIPKEyLckwSIWOMITT/MWCtfSHa8UjkrLX3W2sTrbUuQn/uvrTWavSqDLHWbgY2GGOaOkXdgZ+jGJIUz3qgozGmkvN3aXf0kGVZNA0Y5LwfBEyNYixlQmy0AygLrLWZxpi7gJmEnuB911q7IsphSeQuBv4K/GiMWeaUPWCtnR7FmETOJncDY50BhrXATVGORyJkrf3OGDMRWEpoRaDv0bbFpZox5iOgG1DLGJMOPAr4gI+NMbcQ+kfPddGLsGzQVtMiIiIiImE0xUJEREREJIwSZBERERGRMEqQRURERETCKEEWEREREQmjBFlEREREJIwSZBE5Ixljsowxy4wxPxljPjXGnBPtmApjjLnaGPOI8/4xY4w1xiSFnb/XKWvnHE/P+UzGmH3Oq8sY85Pzvp0x5pWTHOM4Y0yTk9mniEhppARZRM5UB621KdbaFsBOYMipupAx5mSsKT8ceCPs+EdCm6PkuJawDTastX2stbsK6sxau9haO/QkxBVuhBOniMgZTQmyiJwN5gMNcg6MMcOMMYuMMcuNMY87ZQnGGL8x5gdn1PnPTnlbY8zXxpglxpiZYdu1zjXGPG2M+Rp40BgTNMaUc85VMsZsMMbEGWMaG2NmOO2/McYk5w3OGHMhcNhauz2seArQzzl/AbAb2BbWJmiMqVXQBzbGdDPGfOa8r2GMmeJ83gXGmFZO+WPGmHedz7LWGDO0sO8C+Aa44iT9g0BEpNTSX3IickYzxsQQ2h53lHPcE2gCtAcMMM0Y0xWoDfxmrfU49aoZY+KAV4F+1tptTqL4FHCz0/051tpLnfptgEuBr4A/ADOttUeNMSOBO6y1q40xHQiNEl+eJ8yLCe1UFm4PoS2aWxBKlMdT8h3oHge+t9ZebYy5HBgDpDjnkoHLgCrASmPMCKB33u8CwFqbbYxZA1wELClhLCIipZ5GkEXkTFXR2Vp8B1ADmO2U93R+vieUlCYTSph/JDQ6+qwxpou1djfQFGgBzHb6eghIDLvG+Dzvc0Za+wPjjTGVgc7ABKf9W0C9fGKtR9jocJhxTl9XA5OL8dnzugT4AMBa+yVQMyfpBfzW2pzR661AXfL/LnJsBeqfQCwiIqWeRpBF5Ex10Fqb4iSCnxGag/wKoVHjZ6y1b+VtYIxpC/QBnjHGzCKUlK6w1nYq4Br7w95Pc9rVANoCXwIJwC5rbUp+jcNjBarlU/4p8Byw2Fq7xxhTRDcFyq+hdV4Ph5VlAbHW2lV5vwtr7RNOnQpOvCIiZyyNIIvIGc0Z/RwK/I8zZWImcLMzuosxpoExpo4xpj5wwFr7H+B5oA2wEqhtjOnk1I0zxjQv4Dr7gIXAy8Bn1tosa+0eYJ0x5jqnvTHGXJRP8wCQlLfQWnsQuI/QtI4TMQ8Y4MTQDdjuxJavAr6LHBcCK04wHhGRUk0jyCJyxrPWfm+M+QHob639wBjjBuY7I7L7gL8QSlCfM8ZkA0eBO621R4wx1wKvOCPRscBLFJwgjgcmAN3CygYAI4wxDwFxhKZN/JCn3Tzg38YYY6214SesteNK+rnDPAa8Z4xZDhwABhVRvyV5vgsAY0xdQiPzm05CTCIipZbJ83exiIhEgTHmZeBTa+2caMdSEGPMvcAea+2oaMciInIqaYqFiEjp8DRQKdpBFGEXMDraQYiInGoaQRYRERERCaMRZBERERGRMEqQRURERETCKEEWEREREQmjBFlEREREJIwSZBERERGRMP8fR54E7y7w8PEAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a158f59b0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "d0 = 1 #million DAI\n",
-    "p0 = .01 #DAI per tokens\n",
-    "theta = .25\n",
-    "\n",
-    "R0 =  d0*(1-theta) #million DAI\n",
-    "S0 = d0/p0\n",
-    "\n",
-    "kappa = 2\n",
-    "V0 = invariant(R0,S0,kappa)\n",
-    "\n",
-    "reserve = np.arange(0,10,.01)\n",
-    "supp = np.array([supply(r,kappa, V0) for r in reserve])\n",
-    "price = np.array([spot_price(r,kappa, V0) for r in reserve])\n",
-    "\n",
-    "fig, ax1 = plt.subplots(figsize=(10,3))\n",
-    "\n",
-    "color = 'tab:red'\n",
-    "ax1.set_xlabel('Reserve (Millions)')\n",
-    "ax1.set_ylabel('Supply (Millions)', color=color)\n",
-    "ax1.plot(reserve, supp,'-', color=color)\n",
-    "ax1.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
-    "\n",
-    "color = 'tab:blue'\n",
-    "ax2.set_ylabel('Price in Reserve per Token', color=color)  # we already handled the x-label with ax1\n",
-    "ax2.plot(reserve, price,'-.', color=color)\n",
-    "ax2.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "ax1.vlines(R0,0,S0, alpha=.5)\n",
-    "ax1.scatter(R0,S0, color='red', marker='D')\n",
-    "# ax1.text(R0+.02*reserve[-1], .9*supp[-1], \"Initial Value R0=\"+str(int(100*R0)/100)+\" million Reserve Units\")\n",
-    "# ax1.text(R0+.02*reserve[-1], .70*supp[-1], \"Initial Value S0=\"+str(S0)+\" million Tokens\")\n",
-    "ax1.text(-.4, .9*supp[-1], \"Initial Values: R0=\"+str(int(100*R0)/100)+\" million Reserve Units\")\n",
-    "ax1.text(-.4, .80*supp[-1], \"S0=\"+str(S0)+\" million Tokens\")\n",
-    "\n",
-    "#ax1.hlines(S0,0,R0)\n",
-    "\n",
-    "# ax2.text(R0+.02*reserve[-1], price[25], \"Initial Value P0=\"+str(spot_price(R0,kappa,V0)))\n",
-    "# ax2.text(R0+.02*reserve[-1], price[25]/10, \"where P_hatch=\"+str(p0))\n",
-    "ax2.text(R0+.04*reserve[-1], price[25], \"P0=\"+str(spot_price(R0,kappa,V0))+\" where P_hatch=\"+str(p0))\n",
-    "ax2.scatter(R0,spot_price(R0,kappa,V0), color=color)\n",
-    "\n",
-    "plt.title('Augmented Bonding Curve with Invariant V = S^'+str(kappa)+'/R')\n",
-    "fig.tight_layout()  # otherwise the right y-label is slightly clipped\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.015"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "spot_price(R0,kappa,V0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a13494588>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax1 = plt.subplots()\n",
-    "\n",
-    "cp = 100\n",
-    "color = 'tab:red'\n",
-    "ax1.set_xlabel('Supply (Millions of Tokens)')\n",
-    "ax1.set_ylabel('Reserve (Millions of Reserve)', color=color)\n",
-    "ax1.plot(supp[cp:], reserve[cp:],'--', color=color)\n",
-    "ax1.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
-    "\n",
-    "color = 'tab:blue'\n",
-    "ax2.set_ylabel('Price in xDAI per Token', color=color)  # we already handled the x-label with ax1\n",
-    "ax2.plot(supp[cp:], price[cp:],'-.', color=color)\n",
-    "ax2.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "ax1.vlines(S0,0,reserve[-1], alpha=.5)\n",
-    "ax1.text(S0*1.02, reserve[-1], \"Initial Value S0=\"+str(int(100*S0)/100)+\" mil tokens\")\n",
-    "ax1.text(S0*1.02, .95*reserve[-1], \"Initial Value R0=\"+str(R0)+\" mil Reserve\")\n",
-    "#ax1.hlines(S0,0,R0)\n",
-    "\n",
-    "ax2.text(S0*1.02, price[3], \"Initial Value P0=\"+str(int(100*spot_price(R0,kappa,V0))/100))\n",
-    "\n",
-    "\n",
-    "plt.title('Augmented Bonding Curve with Invariant S^'+str(kappa)+'/R')\n",
-    "fig.tight_layout()  # otherwise the right y-label is slightly clipped\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a15c92080>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax1 = plt.subplots()\n",
-    "\n",
-    "cp = 100\n",
-    "color = 'tab:red'\n",
-    "ax1.set_xlabel('Supply (Millions of Tokens)')\n",
-    "ax1.set_ylabel('Reserve (Millions of Reserve)', color=color)\n",
-    "ax1.plot(supp[cp:], reserve[cp:],'--', color=color)\n",
-    "ax1.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
-    "\n",
-    "color = 'tab:blue'\n",
-    "ax2.set_ylabel('Price in Reserve per Token', color=color)  # we already handled the x-label with ax1\n",
-    "ax2.plot(supp[cp:], price[cp:],'-.', color=color)\n",
-    "ax2.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "ax1.vlines(S0,0,reserve[-1], alpha=.5)\n",
-    "ax1.text(S0*1.02, reserve[-1], \"Initial Value S=\"+str(int(100*S0)/100)+\" mil tokens\")\n",
-    "ax1.text(S0*1.02, .95*reserve[-1], \"Initial Value R=\"+str(R0)+\" mil Reserve\")\n",
-    "#ax1.hlines(S0,0,R0)\n",
-    "\n",
-    "ax2.text(S0*1.02, price[3], \"Initial Value P0=\"+str(int(100*spot_price(R0,kappa,V0))/100))\n",
-    "\n",
-    "\n",
-    "plt.title('Augmented Bonding Curve with Invariant S^'+str(kappa)+'/R')\n",
-    "fig.tight_layout()  # otherwise the right y-label is slightly clipped\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#given V0 and kappa\n",
-    "#sweep the reserve\n",
-    "reserve = None\n",
-    "reserve = np.arange(.01,100,.01)\n",
-    "price = np.array([spot_price(r,kappa, V0) for r in reserve])\n",
-    "\n",
-    "#realized price for withdrawing burning .1% of tokens\n",
-    "withdraw_price=[withdraw(supply(r,kappa,V0)/1000, r,supply(r,kappa,V0), kappa, V0)[1] for r in reserve]\n",
-    "\n",
-    "#realized price for depositing .1% more Xdai into the reserve\n",
-    "mint_price=[mint(r/1000, r, supply(r,kappa,V0), kappa, V0)[1] for r in reserve]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#from IPython.display import Image\n",
-    "#Image(filename='slippage.jpeg')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pdf = pd.DataFrame({'reserve':reserve, 'spot_price':price, '.1% mint_price':mint_price,'.1% withdraw_price':withdraw_price })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1a158ae860>"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1066f8b38>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pdf.plot(x='reserve')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pdf['mint_slippage'] = (pdf['.1% mint_price']-pdf['spot_price'])/pdf['spot_price']\n",
-    "pdf['withdraw_slippage'] = (pdf['spot_price']-pdf['.1% withdraw_price'])/pdf['spot_price']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
-      "  series.name = label\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1565ecf8>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a15ca5b38>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pdf.plot(x='reserve', y = ['mint_slippage', 'withdraw_slippage'])#, logy=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#given V0 and kappa\n",
-    "R = 20\n",
-    "S = supply(R,kappa,V0)\n",
-    "p = spot_price(R,kappa,V0)\n",
-    "#sweep the transaction fraction\n",
-    "TXF = np.logspace(-6, 0, num=1000)\n",
-    "\n",
-    "#realized price for withdrawing burning .1% of tokens\n",
-    "withdraw_price2=[withdraw(S*txf, R,S, kappa, V0)[1] for txf in TXF]\n",
-    "\n",
-    "#realized price for depositing .1% more Xdai into the reserve\n",
-    "mint_price2=[mint(R*txf, R,S, kappa, V0)[1] for txf in TXF]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "516.3977794943223\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(S)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pdf2 = pd.DataFrame({'tx_fraction':TXF, 'spot_price':p*np.ones(len(TXF)), 'mint_price':mint_price2,'withdraw_price':withdraw_price2 })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
-      "  series.name = label\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1a15b90828>"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a1348add8>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pdf2.plot(x='tx_fraction',y=['mint_price','withdraw_price','spot_price'], logx=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pdf2['bond_to_mint_slippage'] = (pdf2['mint_price']-pdf2['spot_price'])/pdf2['spot_price']\n",
-    "pdf2['burn_to_withdraw_slippage'] = (pdf2['spot_price']-pdf2['withdraw_price'])/pdf2['spot_price']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
-      "  series.name = label\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,0,'Transaction size as percent of the asset Burned or Bonded\\nnormalizd units: bonded/Reserve, burned/Supply')"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a1bdfe390>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(10,3))\n",
-    "pdf2.plot(x='tx_fraction', y = ['bond_to_mint_slippage', 'burn_to_withdraw_slippage'], logx=True, logy=True, ax=ax)\n",
-    "plt.title(\"Friction for Bond and Withdraw accounting Without Exit Tax\")\n",
-    "plt.ylabel(\"\"\"Percentage Change:\n",
-    "Realized Price\n",
-    "Relative to Spot Price\"\"\")\n",
-    "plt.yticks([10**k for k in range(-6,1)])\n",
-    "plt.xlabel(\"\"\"Transaction size as percent of the asset Burned or Bonded\n",
-    "normalizd units: bonded/Reserve, burned/Supply\"\"\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tax = .02\n",
-    "pdf2['burn_to_withdraw_slippage_with_tax'] = pdf2['burn_to_withdraw_slippage']+tax"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/anaconda3/lib/python3.6/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
-      "  series.name = label\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,0,'Transaction size as percent of the asset Burned or Bonded\\nnormalizd units: bonded/Reserve, burned/Supply')"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a1c3e7550>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(10,3))\n",
-    "pdf2.plot(x='tx_fraction', y = ['bond_to_mint_slippage', 'burn_to_withdraw_slippage_with_tax'], logx=True, logy=True, ax=ax)\n",
-    "plt.title(\"Friction for Bond and Withdraw accounting for Exit Tax\")\n",
-    "plt.ylabel(\"\"\"Percentage Change:\n",
-    "Realized Price\n",
-    "Relative to Spot Price\"\"\")\n",
-    "plt.yticks([10**k for k in range(-6,1)])\n",
-    "plt.xlabel(\"\"\"Transaction size as percent of the asset Burned or Bonded\n",
-    "normalizd units: bonded/Reserve, burned/Supply\"\"\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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Q4vRSSp0V89cbMpK/FajIldiGo5fJTLf21bT/GEqp25VSK5VSKwNH2M4kixcvZvjw4VxzzTU4HA5uuOGGytHM4cOHs3LlSlwuF4WFhfTp04cbbrgBMANTgLy8PC6++GL69etHz549mT9/fq3tXXPNNXz22WcUF5vpUX0+H5mZmQwdOjSouhYvXsxvf/vbyu077riDmTNnArBq1SouvPBC+vfvz6hRo8jKyqq1L8nJyURHR3Pw4MGgHqv58+czYcIEIiIi6NChA507d+ann36q8fzc3Fy++eYbrrzyyqDqrxATE8P9999P//79GTlyJD/99BPDhw+nY8eOLFhgpiSt+jhUZ9q0acyYMQOAL7/8kmHDhlFefuyiXtdddx2XXnopH3xwZHGt2bNn89xzz5Genk5GRjCLrAkhhBAiGA0SCOsO7S+Yq0BVLCpQ3We7Ri37j91pGK8bhjHAMIwBdfl4/ddmzZo1vPjii2zatIm0tDSWLVt21HG3201UVBRr167l/fePXnArMjKSefPmsXr1ar799lvuueceapv60qxZMwYOHMgXX3wBQEpKCtdddx1KqTrXFai0tJQ//elPzJ07l1WrVnHrrbfyl7/8pdYyq1evJjk5mYSEBACeeeYZ+vTpc8zXtGnTAMjIyKBt2yMr3yYlJdUaJM6bN4+LL76Yxo0bV+778ccf6d27N5dddhkbN26stlx+fj7Dhw9n1apVxMbG8tBDD/HVV18xb948HnmkxgXHjuF2u5kzZw7ffvst06ZN45133jlq+kOgfv364fWaC0nt2rWL3bt3M3DgQMaPH8+cOXOCblMIIYQQtTvtEaPu0CZh3kR3sebVKyKrdKBtwGlJmCs0Ucv+s9LAgQNJSkoCoE+fPvh8PoYOHRpUWcMwePDBB1m6dCkhISFkZGSwZ88eWrWqebXeiRMnkpKSwtixY0lJSeHtt9+ud10VNm/ezIYNG7jkkksAKCsro3Xr1tWe+8ILL/DGG2+QlpZWGZAD3Hvvvdx77721XmtVtc2VnT17NlOnTq3c7tevHzt27CAmJoaFCxdy5ZVXsnXr1mPKhYeHM3r0aAB69uxJREQENpuNnj174vP5amyvqujoaN544w2GDRvGCy+8QKdOnYK6tpSUFMaPHw/AhAkTmDJlCnfffXfQ7QohhBCiZqc1ELYyQNwPXKh59YKAQwuAD3SH9jzmzXLJwE+YI8LJukPrAGQAE6jbWvNnnIiIiMqfQ0NDqcs0j/fff599+/axatUqbDYbdrudoqKiWstceeWV3H333axevZrCwkL69esXdF1hYWFHfbxfcdwwDLp3786PP/7I8dx1111Mnz6dTz75hJtvvplt27YRGRnJM888c8yIN8CwYcN46aWXSEpKYteuI7Nm0tPTSUxMrLaN/fv389NPPzFv3rzKfYEjw5dffjl//OMfyc7OPma+rc1mqwywK260q/i5rlNw1q9fT7NmzcjMrP293Jo1axgwYABgBvB79uypfCwyMzPZunUrycnJdWpbCCGEEMc6ZVMjdIc2G/gR6Ko7tHTdoU0BXsZc4/4r3aGt1R3avwE0r74Rcz34TZjrtf+f5tXLNK/uB+4AvgR04EPr3HOazWajtLT0mP05OTkkJCRgs9n49ttv2bFjx3HriomJYfjw4dx6661MnDixTnW1b9+eTZs2UVxcTE5ODl9//TUAXbt2Zd++fZWBcGlpaY1TDyqMGzeOAQMGMGvWLMAcEV67du0xXy+99BIAY8aMISUlheLiYrZv387WrVsZOHBgtXV/9NFH/Pa3vz0qs8bu3bsrR15/+uknysvLadas2XEfr/rasWMHzz33HGvWrOHzzz9nxYoV1Z738ccfs2jRIiZOnMjmzZvJz88nIyMDn8+Hz+fjgQceICUl5ZT1UwghxK9faXFJ5c8fzVrIYzPeZe67n9dSQtTkVGaNmFjN7rdqOf9vwN+q2b8QOGPWWa+4WWzy5MlBlwkmw8XmzZtJS0tjwIAB9OzZk169etGvXz/ef/99CgvNGzdvuOEGrrjiCgYMGECfPn1wOBy1tjF8+HAeeOABJk6cyLhx40hJSeHFF19ky5YtzJgx47h1tW3blvHjx9OrVy+Sk5Pp27cvYE4nmDt3LtOmTSMnJwe/38+f//xnunfvflT72dnZ/Oc//+G9996juLgYTdN4/vnnue2222qcP1vhgw8+wOfzERUVRXJyMq+88gqhoaEUFxdjt9uJjIwkISGBOXPmkJKSgsvl4u9//ztvvfUWoaGhjBw5ksWLFxMWFkZUVBQpKSkopdi+fTsTJkzgwIED9OvXL+h50dWZOnUqd999N5qm4XA4eOONN0hMTOStt95i8uTJREZGsmvXLrKzs3G5XISGhhIZGcncuXNp0aIFr7zyCldddVVlfX6/nxdeeIGkpCQefvjhevdLCCHEr1tRfiEZBWWkHyxk2/K1ZPkymXzoF0ozMngqqicb4tvz3Ys3AjBn3W7WhDXn2tQ9lam4RPDOypXlGjVqZDRU+rT6BMLnavq0UaNG8cc//pGxY8cC5tSBnj17BlV2+fLltG/fnuTk5KP68uqrr/LLL7/w73//m5SUFObNm8ecOXOCTrc2fvx4xo0bx4QJE/j9739P7969+cMfTnx13dpSnQWbcs3v99O8eXMOHTp0wv0RQgjRcApy84lsFEVISAjf/Pc7lqzeTkaen8zSEHaHRHEgPOao80PLy/j0l9do3DqB71r3ZHd8a6bfZ443Htx7gNgmjQmznd7bvpRSBYZhNDqtjZ4CQU+N0B1axPHPEifiXEuflpWVVXljIBB0EAxmwF7dDXjz589n0qRJldf39ddfYxhGUOnWDMPgm2++4ZprzPfUkyZN4tNPPz2mjccee4xJkyZx6aWXYrfb+eSTT7jvvvvo2bMno0ePrpy2UvGc1cd7771Hz5496dGjBw8++OAxx/ft28egQYMqbzB0u90MHDiQXr16VaZpS01NpUePHkyZMoXu3btz2WWXVc7jfuGFF+jWrRu9e/fmxhtvrFcfhRBCVC//cD5bMw+xePNe3vn4Bx55/F3W3v0A26+7juev+RPd/raY7KxsAJat8/F+fhybSiOIUuWcH5HP7+MO8fzVPfjo90NYdudgNv/tcnp+4aH9O+9w45N3VwbBAE0Smp72IPhsUuMjpzs0BVwL3AAMBsp1hxaOedOaB3ijYqELcfKsWbOGjRs3kpiYyPnnn8+yZcuOyhrhdrt5+eWXWbt27TFlK1KeNW7cmOzsbAYPHsyYMWNqzKYQmD6tImtE1fRpwdYVqCJ92vz582nRogVz5szhL3/5S2VGigp33XUXI0aM4De/+Q2XXnopt9xyC/Hx8WzevJnrrruu2roXL15MfHx8jW0HplULCwsjLi6O/fv3k5GRweDBgyvPqy7d2v79+4mPj69cva22lGzbtm3j22+/ZdOmTQwZMoSPP/6Yp59+mquuugqPx1PnfMWB0tPTeeihh1i5ciVxcXGMHDmSzz77rDJ7RVZWFmPGjOGpp55ixIgRLFy4kJ07d7JixQoMw+Dyyy/nhx9+ICEhgc2bNzN79mx69uzJuHHj+PTTT5kwYQJPP/00O3bsIDw8XEaYhRCijvIP5xESFkZUdCQbf95IysKV1ohuKLtDojkUfvRAaVh5HH18u+kfF03fxNb8PuYQoSHm/9N77hzHA5EREsw2kNoe9W+BJcDjwDrNq5cB6A4tAbgIeF53aB9pXv3YW/tFvZ1L6dNuueUWRo0axRdffMH8+fN57bXXWLduHV27dq020A/2MahKKRVUurW6pGS77LLLKtOolZWVHZVirS5p1aqzYsUKRowYUTmN4vrrr2fp0qWMHj2akpISRo4cyWuvvVb5uli0aBGff/555RztvLw8tmzZQkJCAp07d64cae/fv39l37p3786NN97I2LFjTyhoF0KIs1FxQRHpBwvIyC/Dtz2LrcvXMDDHR4/0TWw65Of/+t3KS33CGTPhEnbt3EtKXjwJpbm0Dinhwog82sSV0mlQH+wdW5PYKIyEuGhCbeY0wPaYQVSF6NgzfnbBGa22QHiUteTxUTSvvheYA8yxRojFSXSupU9LTEzk1ltv5dZbb6VHjx5s2LCBmJiYeo8IV6RVS0pKwu/3k5OTQ9OmTYNKt1Yx/9bv9xMWFlZrSrbANGpVU6yd6MqGtc3bt9ls9O3bl0WLFlUGwoZh8NBDDzFlypSjzk1NTa3x9fTll1+yZMkS5s+fzxNPPMGGDRtqXZ5aCCHOJmX+MooLi4iObcTBvQf415sLST9cQkaxIpNIssNjMNSR2aNh5fHE7s2nd0wMyV3a8ceYHDp3MQcfRo65AO9YRWiY/A09E9UYCFcEwbpDswOZmlcv0R3aUKAX8J7m1Q9rXr2kpvLi1KlIn2az2Y7a35Dp04qKivj6668ZOnToUenThgwZQmlpKVu2bDkma8QXX3zBxRdfjM1mY/fu3ezfv582bdrQqlWreo8IjxkzhlmzZjFkyBDmzp3LiBEjUEoxZswYrr/+eu6+++7KXLxV060ppbjooouYO3cuEyZMYNasWZU38p1OgwcP5t5772X//v3ExcWRkpLC9OnTK/s4c+ZMrr76ap599lmmT5/OqFGjeOKJJ5gwYQKNGjUiPT39qFRxVZWVlZGens6IESMYOnQo77//PgUFBcTGxp6uSxRCiFPKMAxyDhewK9fPzv15bPlqKU1yshmR9QvF6emM7T6VaxrnM+PRm1GhIbyRE0ezknxaU8iA8EKSGpfRsUcnOvbsQlJ8JC1jIwizHfl/cF9AWzKl4cwWzLP3KXCe7tA6Ae9izg/+AHN1ONEAbr/99qPSp1WoLX1abQLTp9WlrhNNn7Zo0SLuvPPOyqDtmWeeCWrqBcB9993HBx98QEFBAUlJSUydOpXHHnuMKVOmcNNNN9G5c2eaNm1aeU3du3dn/PjxdOvWjbCwsMp0a2AuqPHmm2+SmJjIU089xYQJE3jooYfo27fvMaOsp0NSUhIzZsxg+PDhGIbBFVdcgdPprBzNDQsL48MPP8TpdBIbG8vvfvc7vF5v5Rzo2NhYPvjggxrr9/v9XH/99eTm5lJeXs79998vQbAQ4ozjL/VXBqHv/GseW3cfJj3fT6bfRlZoI/JtgQMCjTl/XyYXHjpIVNeuTI7LoU+vjgDEN4tn06OXEBVd8wCCOHsdN32a7tBWa169n+7Q7gWKNa/+ku7Q1mheve/p6WLdnWnp04QQQghxtFJ/GbsPF7PrYAFbv1/J4YzdjDu4idL0dB6MOY+CmHg+feEWAIb/+T9k2mJpVZpLYmgpSVGK9m0TSD6/P22bRtEmAuKbxTXwFZ1dzpb0acGMCPt1h3YtcBNQcVeNrZbzhRBCCCGC9u1n3/Pzxp2kHyoiowgyiWBveCxl6si820alMYxes4rwpCQubB5CWasjuXbnPegkrnn8cRdjEqKqYALhW4E/Ak9rXj1Nd2gdgNmntltCCCGEONP5y8rJyili2/qtpG7YxqWFPkJ27WR2bizvx/dk5VPjCLOF8emyrcw3EogvCaO1UUB3WzGjYg0clw6jbdNoEsP8tGnVhPBIM8/776q00ySh6em/OHFWOG4grHn1DZiBcMX2dqpZClkIIYQQ56aMtHR+Xr4RX+ZBdh4sJL3QIKM8gj3RTfCXV0zBjCBx6Rd0bRyKvWN/RkbnU5RfSEx8LA/9yckTURHENpHpC6Ju7C5Pc8xBWzsBca3P7bw9mPLHDYR1hzYYeCSgAQUYmlfvUvfuCiGEEOJMYhgGe/YcJPWXLSQc2k2TPems33WA50ra8cS1feh7fh/+99UqHt0eBsQSUxpGYnk+XW1FXNEvAXu7BNrY/LSNCiHprwsJs4XRCXPFrgotEhMa6OrEWWA+sBz4Hiira+Fgpka8g5kpZFV9GhBCCCHEr1tpcQnbNqXhS8tke8Z+dmYXsCu/jD1NE0kvgsJS89//HWsX4NyxHDpohHdtS0mxuaT8aOdgum/LoGPX9jRt1awhL0Wcexr53M576ls4mED4sObV/1vfBoQQQgjR8A7uPUDujl3EZ2eSt2MXf98RxogebbjqhlFs25TG6DnbrDOjiSgLI7Esl/ap1X+cAAAgAElEQVQR5QzrbScpOoRWBzLpedMDJCa3RwsPZ0RA3S2TWtIyqWVDXJYQn9tdnkt9buei+hQOJhD+Rndofwc+ASpXmtO8+i+1FdId2tuYuYb3al69h7WvKeaqdHbAB4zXvPpB3aEp4B/A5UABMFnz6qutMpOAh6xqn9C8+qygr04IIYQ4h+zP2keq7iPNt4ftuw+REdmEzMh4dmTnc6CglIt3rmT66hQMYNWov5C85xAAHbra+WunzXRo35IOnZNobU+sJgNDcLnphahgd3lGY8Z3ocCbPrfTXeX4MOBFzMXaJvjczrkBx8qA9dbmTp/bOaaGZn4P3G93eQqAEqwpvD63M6g7KIMJhIdW+Q5gAMOOU24m8DLmIhwVXMDXmld36w7NZW3fD1wGJFtfg4B/AYOswPlRYIDV5irdoS3QvPrBIPothBBCnFUMw6Ds4EFKduxg0dpd+ENtXHPzZQCc/+f3yYisWIJeoYw4Eg4X06lTKKN6tKblzs306jeYDo9OJDypDT80OpICNiI6kptuO/0raYqzl93lCQVeAS4B0oGf7S7PAp/buSngtJ3AZGB6NVUU+tzOPkE01fxE+hlM1ogL6lOx5tWXWsszBxoLDLd+ngUsxgyExwLval7dAJbrDi1ed2itrXO/0rz6AQDdoX0FjEbStwkhhDhLlZeXs2dnFqmbd+Lbl8fuFm3x7S8gdd0WynJz+ec3zwPw7pDbKIhrxjU3m+WuSgzBFppHhzZN6dy5DR0cdqJiogNq7nn6L0acywYCqT63Mw3A7vKkYMZ7lYGwz+30WcfK69uIz+0ss7s8E4COPrfzSbvLkwS0xLy37biCyRrRAngCaKN59d/qDq0bMFDz6jPr0d+WmlfPAtC8epbu0CpuE20D7Ao4L93aV9P+YyilbgduB3OJXyGEEOLXyigvZ+/OTLZtzeA3lwwC4NmnZ/N5ZikZYTEUhUVUnhsakkbbJlEkRofRzhZKywcfwNauHa+0aEOTDm0rz5t+38TTfh3inBamlFoZsP26YRivB2xXF8MNqkP9kXaXZyXgB9w+t/PT6k6yuzwvYy70Ngx4EnOK7b+B84JpJJipETOB9zFHbgG2Ys7znRlMA0FS1ewzatl/7E7zwX8dzCWWT17XhBBCiLor85eRkZZOuorCd6CILas2kpaWyV3bviRq+1bea38B7zsuYdOQgsqR24QQPwOiD9O+WSM6JjWnc5ck2nfrhC302BXTYk/3BQlxNL9hGANqOR50DFeDdj63M9Pu8nQEvrG7POt9bue2as77jc/t7Gd3edYA+NzOA3aXJ+gR0WAC4QTNq3+gO7R7ATSvXqo7tPqmUdujO7TW1mhwa2CvtT8daBtwXhKQae0fXmX/4nq2LYQQQpxU5eXmJ7ohISGs/WEdn/5vHb7Dfnb6w8iwxVIceuT/sU0ZtPaHU5DYnsRB/bmmlZ1h8bGVN6XJiK44y9QU2wXF53ZmWt/T7C7PYqAvUF0gXGp3eUKwgmy7y9MMCHqqRTCBcL5105oBoDu084DcYBuoYgEwCXBb3+cH7L9Dd2gpmMPmOVaw/CXwpO7QmljnXQo8UM+2hRBCiHrJK/aTmpaFd/kvdMpJJzFjG2uz8ri/5Qhevbg1wy4/n9TUTP6TF09r/2HahZYwOPow9hYxaEP709HeklaNIwkNOTJIJsnGxFnuZyDZ7vJ0ADKACcD1wRS0uzxNgAKf21lsrRx3PvB0Dae/AnwMtLC7PI8D44EZwXYymEB4OvBfoKPu0JZgzvm45niFdIc2G3M0t7nu0NIxsz+4gQ91hzYF807BioVlFmKmTkvFnNtxC4Dm1Q/oDu2vmA8mwIyKG+eEEEKIk6m0uIQtv2wlNTWDtIz9bN9fyI4iRUZsAtklR86bumEN1xVsoXVHB6Oicolv1hWAK665iLHXhWCLkPtUhPC5nX67y3MH8CVm+rS3fW7nRrvLMwNY6XM7F9hdnvOAeUAT4Aq7y/O4z+3sDmjAa9ZNdCGYc4Q31dDOu3aXZxUwEnM6xrU+t3NDsP1UhnH86Rq6Qwu3OqWw7vbTvHpJrYUaUKNGjYz8/PwGaXvmzJkATJ48uUHaF0IIUTN/qZ+cnRlEZO6iaLuPp7b6GZTckmtuvoydW3cy7K31lefGl+STVJ5P5w6t6NI7GXvjcJJKcujcvSPRsY1qaUWIs59SqsAwjAb/RbC7PJN8buesKvue8LmdD9VUJlAwWSPe0Lz6bcA6azsac0rDJfXorxBCCHFKlZeXs3fXHrZsTGPrjj2kE01Go+Zsz87Ht/sQA7M28dDPZor7Hy9x0SR9PwBtOrThyeR1dO7UmuRuHWmSEFQ+fiFEw7re7vIU+9zOFAC7y/MS0DjYwsFMjdinO7R/al79T7pDiwc+4+RmjBBCCCHqzCgpIXVDKtkH8hgyciAAN97zNmuII98WaZ0Vgc0owd4ynw7NGzG4ZDd9k7vSftq7hNvtfNe8OUqZ83ZDw0K5fsoVDXQ1Qoh6ugr4r7US3WWYc4snB1s4mAU1HtQd2nO6Q3sFc4W35zSv/mF9eyuEEEIEq7y8nH17DrCjKIRt+/LYtPRn9mZmc+/GTyhNz2BG/xvJaNqGpVYg3D42lITSw3RqXkbn9i3o7GhP++R2hNkq/t3Vlu1JCHGmsLs8gaO+kzDvZ1sGPGh3eRr73M7DwdRTYyCsO7TANZ2XAo8DK4Ai3aGN0bz6grp3WwghhKjZim9+5ruVqaQdKMRXFMLO0BjybFGVx8MJJ6k8ilCtO3FOJ39u0QFbUlLl8b89Nqkhui2EOP02cmTNiYrvY60vA2gXTCW1jQhfW2V7PRBt7TcwU54JIYQQQcvec4DN67bQ/mA6tp3b+WpnIf8O7chnf3ES36IJXyzz8k5+U5qWKNqpQi6JzKVj8zJ6jhpGp1ZxJMZHWSnIzHWFWzTs5QghGojP7Wx7/LOOr8ZAWPPqN52MBoQQQpxb/KV+fN7t6Bt9pKZnk7a/kIyWHfDl+jmQbyYcenLZu/Q75CO62xA6t00i93Ae8S2acMfU0dwZFkZ8iybHaUUIIcDu8oQBt2MusQzmwmtv+txOfzDlg8kakQj8Axhq7VoK3KV59aBXBxFCCHH2MUpKOJS6na9XptG7TyeSe3Xh28++5/Yl2ZSG2qyzGtOkJIROpaWM6t4ae3gZbQv3c96Uf9C8YzscoaGMC6izWWsZ4xVC1MkrQCPgbWv7RqAfZnB8XMFkjXgHmGtVDHCTtW9UnbophBDijJR3KJfU3TmkFcAW3142/rCG/lleRq39nEOhUUy//DGm719Lcq8udNbac+3P2+jSOo4unVrj6NmZpq2aNfQlCCHOXoN9bmfvgO1FdpdnXbCFgwmEW2pe/Y2A7Td1h3ZH0N0TQghxxijzlzHzjfmkZuWSllfGdiOKvRFHbs4OC1Ek+sPpm9CKZrdNpXXHzsxrmkiXXskAtO3UlicflxvWhBCnTbnd5bH73E4fgN3lsQPlwRYOJhA+oDu0CcAca3s8IMscCyHEGcgwDLJ8mezesh37vh2UpG3j4ezmxDWO5tknJhMaFspLW/0UhsbRrvwwvcML6RRXjqO7nR6De9G+WSNsoSFH1dm3ga5FCCGA+4CldpdnC2bmiM7AlGALBxMI3wq8ijkHwwCW16UBIYQQp195eTmZ2zPZ+Esqm7fvYVtRCLviE9m6N4/cIj+t8rN55ys3ITExNDnvWuKjj4z6LrzjN7Rs2yog964QQvy62F2ewT63c7nP7fzK7vJ0BTTMQHiTz+0sDLae2vII36F59Zc1r+4DLj/hHgshhDglsjP2sHmjj/MvHQTAQ4/N4tPcRgH5d2OI9xfQtVkIY/sk0vbwXjrHd6DzQ0sIS2jB09bKahXadExCCCF+5V7FvCkOK/BdXZ9Kanu7fyvwcn0qFUIIcfIdKihhy548NqxYz6YNaUza9QMRWzfxbov+vO+4hPUDc4mJj6V98xhGlhymS0sDR8dWdO+dTMt2rRq6+0II8asjn3sJIcSvTN6hXH75eRN6agZbsw6TmldOGtEcCI+tPCfa35hR5WF0H3ER17TvyrAWsdjCzZRlt91xdUN1XQghTpeOdpenxsXdfG7nmJqOBaotEO6lO7Tq1mlWgKF59cbVHAuK7tDuAqZizjleD9wCtAZSgKaYw9s3aV69RHdoEcC7QH9gP3CdNV1DCCHOaGX5+ZSkbWfXplRm6TmMH9WP3kN68sWC75m+qRyIIKIsDnt5DoMjCugxJBnN0ZbkJhEkNo8lJMQMeBMb9jKEEKIh7AOeO9FKaguE12te/aTfDKw7tDbANKCb5tULdYf2ITABcx7yC5pXT9Ed2r8xb8j7l/X9oObVO1vZK54CrjvZ/RJCiFPFX+onbeM2tuSVs7UwlE3bdrPJu4vLUr/j6tQl7IuK48ORD9DTu5PeQ3pywfC+vBS+nm7dO9BB60BoWGhDX4IQQvza5PrcziUnWklDTY0IA6J0h1YKRANZwAjgeuv4LOAxzEB4rPUzmAt7vKw7NKV5deN0dlgIIYJVXFDEm68twLs3j62FoWwPa0xxWDgASkH7JlEkhxXR9cJBtJk2jg6dOrMpKQlbhHlOy3atGCNzeoUQoja+k1FJbYHwRyejgao0r56hO7RngZ1AIbAIWAUc0rx6xbrQ6UAb6+c2wC6rrF93aDlAMyA7sF6l1O1Yy+mFh4efiq4LIUSlwoIiMjduoVlGGsVbtvJwZgzN46J58vFJ2CLDeSUjFFt5DJ1UPldF5+BIjKd73y706NuVqHAZ4RVCiBPhczvHHf+s46sxENa8+pMno4GqdIfWBHOUtwNwCDPgvqyaUytGfFUtx47sMIzXgdcBGjVqJKPFQoiTory8nJ2bd7Dhl21sPlCMLz4Rb9Zhtu05TJu8fbz+9TMom42o828iJsG8mS0kJITv7hlGk5bNCAkJOU4LQgghGkpDTI0YCWzXvPo+AN2hfQL8BojXHVqYNSqcBGRa56cDbYF03aGFAXHIynZCiFOgsKCIqOhIAF598SM+35FHWkhj8m2RleckHT6Io1Vjhkfk0TWmJR3v/ozw9u35R9jRf06btW5xWvsuhBDnGrvLo4Akn9u5q7511Lagxp2aV/+H7tDO17z6svo2UI2dwGDdoUVjTo24GFgJfAtcg5k5YhIw3zp/gbX9o3X8G5kfLIQ4UVm79rDup030yN6G2qzzbnYEb7ccyC+PjyYqOpL9eUUAjIo8jKM1dO+SRPf+XYlvFt/APRdCCAHgczsNu8vzKWZmsXqpbUT4FuAfwD+xVu44GTSvvkJ3aHMxU6T5gTWYUxo8QIru0J6w9r1lFXkL+I/u0FIxR4InnKy+CCHOfv5SP1vWb+WXdWls2rmf7S07omcXkZ1XDMDzS+bSK9pPr+5DmByfR3GhOSr88EM3NXDPhRBCBGG53eU5z+d2/lyfwsowqh9c1R3abGAI0ALYFlgGM49wr/o0eDo0atTIyM/Pb5C2Z86cCcDkyZMbpH0hzmW5B3MAiG0Sx4pvfuaxBRtJs8VRHGreQBtW7qdzk0h6dG5F12iDzuQxYGA3Yls0bchuCyHEGUcpVWAYRqOG7ofd5dkEdMXMIpGPFaf63M6g4tTabpabqDu0VsCXQFCrcwghxOlgGAa79x1mzZKVxGTtpOP2X9iZmsEN3W7iIXspU/4wjtj4GCKVwbiow3RrG0+vHh1w9O5CRHTk8RsQQghxpqgu4ULQar1ZTvPqu4HeukMLB7pYuzdrXr30RBoVQohgVWRtWLN6C+u372VreFP0kojKqQ2jfNu5d/9GkhwOfh+fw4A+5iBAt34a8/ppDdl1IYQQp5jP7dxhd3mGAsk+t/Mdu8vTAogJtvxxs0boDu1CzCWOfZjDzW11hzZJ8+pL69lnIYSoVnl5OYf2HqRpq2YA3HjP2/xCLIdt0QCElMfRIayQC/sk0aNNYzrl76FX37uIb9EEgPsbrOdCCCEagt3leRQYgDk94h3ABrwHnB9M+WDSpz0PXKp59c0AukPrAszmBO7QE0KI8nKDrRtSSV27hQG7N1G0cSPTbX3Ij4ln4YuTAWhsgwtVLj0SFb27taPXed2Ibhz4Rr9Dg/RdCCHEr8ZVQF/MJAz43M5Mu8sTG2zhYAJhW0UQDKB59S26Q7PVuZtCiHNWaXEJm9dtYe0vaWzIyiOtRQc2ZuaQX1JGWLmfeV/OJqZLZ8Z2VZS3a1JZ7lX3rQ3YayGEEGeAEiuNmgFgd3nqdANfMIHwSt2hvQX8x9q+AXNJZCGEOEaZvwwVoggJCeGjWQuZuWYvqZWZG0KJKIuiWxM/1/RPoktIAT2aRdDtr8sJjQiX8V0hhBB19aHd5XkNiLe7PLcBtwJvBFs4mED4D8D/AdMw5wgvBV6tR0eFEGeZ8vJydm3dRWiql3DvRhZv2cvjMefx0USNbgO6UVzqR2FwZVQOPds1pU/vTjj6dCXM1hCLWgohhDjb+NzOZ+0uzyXAYczEDo/43M6vgi1/3P9Gmlcvxpwn/Hy9eymEOCvszdjLqh83oIc0ZuNhg7Vp+9hfYvDn1XMYlbmGxO79ubTZYWzh5p+WG6eO4cYG7rMQQoiGYXd5RmMuzhYKvOlzO91Vjg8DXgR6ARN8bufcgGOTgIeszSd8buesWppaD0QBhvVz0GRYRghRo5z9Obz9zkJ+2VOI7o9kd0QcAIoCOiXEMqxLc5L37+DiR+4k+bwehEREMLSB+yyEEKLh2V2eUOAV4BIgHfjZ7vIs8LmdmwJO2wlMBqZXKdsUqMgGYQCrrLIHq2lnKvAI8A3mzIV/2l2eGT638+1g+imBsBACw++neOtWCtet47G1eXRKiGXa3dcRHmHjlb3RNPcbaGFFXNdc0cfRlr5DehLfLM4qPbBB+y6EEOJXaSCQ6nM70wDsLk8KMBaoDIR9bqfPOlZepewo4Cuf23nAOv4VMBoza1lV9wJ9fW7nfuvcZsAPwMkPhHWHFgLEaF79cF3KCSF+XXbvPsC6/SWs2XmI5d/8TOjB/Tzx/WvmsQt+R5NGEQBExUTz8/QLaJIgSxALIYQ4SphSamXA9uuGYbwesN0G2BWwnQ4MCrLu6sq2qeHcdCA3YDu3StlaBbOgxgfA74EyzGwRcbpDe17z6s8E24gQouEU5hWw5sf1rFzvY21WHhv80eyNaAyALVTRJTySHolxJD77LFF9epPSpg1KqcryEgQLIYSoht8wjAG1HFfV7DOCrLsuZTOAFXaXZ751zljgJ7vLczeAz+2s9R63YEaEu2le/bDu0G4AFmIu3rQKkEBYiF8ZwzDI3OLjh+U6V980mpCQEO55IoWFtARiSPCX0yOsgD4JIZw/7hK6t4kj0hba0N0WQghx9kkH2gZsJwGZdSg7vErZxTWcu836qjDf+h7UohpBLahhLaBxJfCy5tVLdYcWbEQvhDiFikrLWLVyMz9+t47hO1bSeO0K/hvTmX/2vZa+G7fRuWcyN43swSV7DnLe4O4kdUpq6C4LIYQ4N/wMJNtdng6Yo7YTgOuDLPsl8KTd5alYYelS4IHqTvS5nY+fSCeDCYRfA3zAOmCp7tDaY+ZqqzfdocUDbwI9MIexbwU2A3MAu9XeeM2rH9QdmsJMvXE5UABM1rz66hNpX4gz1Z70Pfy4dC0/b9nNhtgkNh0oprTMABrTLLuYURdcwJXde3ORPZH2XdoDMGSk3MwmhBDi9PK5nX67y3MHZlAbCrztczs32l2eGcBKn9u5wO7ynAfMA5oAV9hdnsd9bmd3n9t5wO7y/BUzmAaYUXHj3MmmDKPug7u6QwvTvLq/vo3qDm0W8J3m1d/UHVo4EA08CBzQvLpbd2guoInm1e/XHdrlwJ8wA+FBwD80r17rZOtGjRoZ+fn59e3eCZk5cyYAkydPbpD2xdkny5fBX//9JeuKwsmINN8c28r8dG8SxqC+HenfuhF9WkSS0CahgXsqhBDiXKGUKjAMo07LGf8aBXOzXARwNeZIbeD5M+rToO7QGgPDMPPGoXn1EqBEd2hjOTIfZBbmXJD7MSc9v6t5dQNYrju0eN2htda8elZ92hfi16qsqIjijRvJX7Wa6ZsVfVo34q7pE4mNb8zykkZ0C83n6maHGdi7A/3P701Uo6iG7rIQQghxRgtmasR8IAfzBrnik9BmR2Af8I7u0Hpb9d4JtKwIbjWvnqU7tIrhrZpSaBwVCCulbgduBwgPDz8J3RTi1MrJLWBVRi4rth/g+/+tJOrgPv76g7U8+oW/A2IAiImPZeWz1xISEtJwnRVCCCF+Rewuzz+pJQuFz+2cFkw9wQTCSZpXHx1sx4Jssx/wJ82rr9Ad2j8AVy3nB5VCw8pd9zqYUyNORkeFOJn2Zuxl2eI1rNicxcrDim0RzTCUwhaqcERG0rt9U5JueJmovn2Z1fTolGUSBAshhBBHWXn8U44vmED4B92h9dS8ep3Wbq5FOpCuefUV1vZczEB4T8WUB92htQb2Bpxf3/QbQjSY3TuyaNW+NQAPPjqLD4qbAxBeFk93dZCpcTlcNH4Ufds1ISpcUpgJIYQQwfK5nbOq2293eSKBK4KtJ5hAeCgwWXdo2zGnRijA0Lx6r2AbCaR59d26Q9ulO7SumlffDFyMudzeJmAS4La+V+SBWwDcoTu0FMyb5XJkfrD4Ndq5ZQdhG9ehVq/kk225PNNuJIsndcOudeD87m2IT9vLb/p1pP/QPkRFRzZ0d4UQQoizgt3lCcVMsTYRc3nm74CPgikbTCB8Wf27VqM/Ae9bGSPSgFuAEOBD3aFNAXYC11rnLsTMGJGKmT7tllPQHyHqLH1bOiuyClieVciyjelkFsF9K1O4OCeV/uddwJ3NcytvaHOOH4mzgfsrhBBCnE3sLs8wzNzETuAn4Hygg8/tLAi2jqDSp1k3tV1gbX6nefV1de/u6SPp08SpsD9rH0u+XsUybxY/59nYaaUyi4uyMahNDL1y0xk91EGnft1RoTLVQQghxNmrodOn2V2edMyB038Bn/rczly7y7Pd53Z2qEs9waRPuxO4DfjE2vWe7tBe17z6P+vaaSHOJLkHc9iblU2nbp3IPZjDwBd+pCwklEh/HL1DDnFV81yGX9ibXv0dhIZUd0+nEEIIIU6RjzFXPb4OKLO7PPOpJYtETYKZGjEFGKR59XwA3aE9BfwISCAsziqFBUV4l60mSV9J/vIVTG08jLgoGx+/0InYJnE80N6PIzmB84b2IULm+AohhBANxud23ml3ef4MXIQ5N/gZoLHd5RkPLPS5nXnB1BNMIKyAsoDtMqpPaSbEGaW8vBzvhu38eDiEpVv2sXxzFiF+Px9+8QYx3bvxh3bQtGdy5flT/29cA/ZWCCGEEIF8bqcBfAN8Y3d5bJj3tU0AXgWaB1NHMIHwO8AK3aHNs7avBN6qe3eFaHj7Mvey+KuVLPHuZkVRFPsiGgPQsUUjru4QzeB4SH74eyLj46jTJCMhhBBCNAi7y9MCwOd2LgAW2F2eoJdePW4grHn153WHthgzjZoCbtG8+pp69lWI06qkqBij3CAiOpL33lzAw1sVhgohprQxA0JzuKBdBJeOvZC2bZo1dFeFEEIIESS7y6OAR4E7MDOPKbvL4wf+6XM7ZwRbT42BsO7QGmte/bDu0JoCPuur4lhTzasfqF/XhTi1CnelU7Tse/Rlq5kaMYhHukcy4RYnAwd05ba9P3PRwC4MuKAPtghZilsIIYQ4Q/0ZM13aeT63czuA3eXpCPzL7vLc5XM7XwimktpGhD8Afgus4ui78JS13bE+vRbiZCstK2fVjoN8vW4Xi5asp3fGRv6wfj7NEtvgHNyVTh36ANClT1ce7NO1gXsrhBBCiJPgZuASn9uZXbHD53am2V2eG4FFwIkFwppX/631XaZKil+dPel7+OqLFXyzOZufQpuRRxhhIYreEYp+5/em41O3E96hA88oua9TCCGEOAvZAoPgCj63c59141xQapsa0a+2gppXXx1sI0KcLG+9+gkfbzmMHtEMQ4XSpKwRw6NycV57MUOTmxMbGfRrXwghhBBnrpJ6HjtKbVMjnqvlmAGMCLYRIeqjvKSE1V/9wEfLfTzx0PXYIsLZtieXchS3xeVwyW80+g3tQ2iYrOImhBBCnGN6212ewxyZsltBAUEn+69tasRF9e+bEPVzKDuHL/77PZ3XLyN2ySLWxHVkfr8J3LRuCz0G9uCvD98oga8QQghxjvO5nSclGKhtakStqwdoXv2T2o4LEaz0bel8ve0QX6cX8MPWffgNmJpexJTLL+Pqi0Zw48BBRMVEA0gQLIQQQohKdpdnpM/t/F+VfZN8buesYMrXNjXiilqOGYAEwqLetqzdzIJFq/k6sxg9sgUA7ZtFc8v5di60HWbwX58mzBbMei9CCCGEOIc9Ynd5rgamAzHAm0AxcGKBsObVbzkp3RMiQHl5OVfdM4t1EQlAY7qSzR/iD+Ec2Y/u/R0oyfIghBBCiOBdCNwDrLW2H/G5nbODLVzb1IgbNa/+nu7Q7q7uuObVn69TN4+tPxRYCWRoXv23ukPrAKQATYHVwE2aVy/RHVoE8C7QH9gPXKd5dd+JtC1On5KdO/lo7hL+l1XKO8/cSkhICEMSwvn/9u48TIrq3v/4+zssooyAgAswaosgXagwoBhQFNQoQnOVGMISbgSXS4xBTEiirUlu1F9i2qsx6o+4cF3ARAXFKMQ2oBdFvREXEFGwmrjQCrggCChrmJlz/6iasRlm6ZmB6Rnm83qefqbr1DlV3+56Cr5z5tQ5Zx+whRHD+3PUcUfnOkQRERFpvA4BvgV8ABQAR0fiSUsnYq7qZoG8Kva1Dn8eXMmrrq4C/Iztm4E/eim/O7ARuDQsvxTY6KX8bgSTI9+8F84t+9D7fppb/+tRlo4cywfnDuGTZ1/g8115bPpiIwDxa8cxecpoJcEiImELCpgAACAASURBVCJSV68Cf08nYucB/YDOwD+ybVzV0Ih7w5831DXC8vyoVwDEgN8BU/yoZwTTsX0/rDIDuB64G7ggfA8wG5jqRz3zUn5Wmb7Uj88++pTke5uYm9rAsjWbgTYcenABw68ZwlXnnsMvunTJdYgiIiKy//l2OhH7GCCdiG0HJkfiyTOybVzV0Ig7q2ropfzJWYe4p9uBq/mmZ7kDsMlL+UXh9hqgNHPqAqwOz1nkR73NYf09VhOR+rVl09fMfWIhc1Z8wRvNO1KS14yendpw7bePZUiXA4h4sVyHKCIiIvux0iS4XNlL2bav6rH8y4HlwGPAJwQTFNeZH/WGA+u8lL/Ej3qDw+KKju2y2FfGzCYCEwFatmy5FyKVyhQXFXPlr2bwfFE7djQ/gMPcgVyUv4mRw/pxwslersMTERERyUpViXAn4HvAaKAImAU84aX8jXU852nA+X7UG0aw8kcbgh7idn7Uax72ChcQJN8Q9A4fCazxo15zoC3wZfmDOuemAdMAWrdurWETe9m7i1fwymsruezHF9KseTN2FsOQlpv57unHcdo552l+XxEREWl0qhojvAG4B7jHj3pdgLHACj/qXeOl/D/X9oReyr8WuBYg7BH+uZfyx/lR73FgJMHMEeOBOWGTueH2onD/8xofXD82bdjErv95li1/fYI//6sTs7sN5sLPNtD+iA7cf8sluQ5PREREhEg82Qw4nIy8tqIhExWpdsUCP+r1JUiCzwH+DiypXZjVugaY6Ue93wJLgfvD8vuBP/tR732CnuAx++j8AjjneCO9kb/87Q3mf7yN+OJZnJG/k0sv6MNPhvSn/REdch2iiIiICACRePJK4DfA50BJWOyAXtm0r+phuRuA4QRTnM0Ers14mG2v8FL+QmBh+P5D4JQK6uwgGKIh+9C6tet4+NEFPLWtLR9tc7Rumcd5LTdy8o3X0vX0k7TQhYiIiNRIJJ48D7gDaAbcl07EEuX277FWRDoRS0fiyQhB/rkyrPpqOhG7vJLTXAX0SCdiG2oTY1U9wr8GPgR6h6+b/KgHwcNrzkv5WWXa0nCVlJTw+guLmfHscv6npD27mrWhsNkWJn/vVIaeeAQHtdQSxyIiIlJz4XCFPxGMKFgDvBGJJ+emE7F3M6pdCmxMJ2LdIvHkGIK1IkaH+z5IJ2KFWZxqNbC5tnFWlekcU9uDSuPwH9dMZ0GzwzmwuB0XtNrIhPP7ccIpJ+Q6LBEREWn8TgHeTydiHwJE4smZBGtDZCbCe6wVEYkna/on6A+BhZF4MgnsLC1MJ2JZrYBcVSL8cXUPpWlhi8Zl9cpV/PfMl7n6qu+Q3+5ghhx/OKd8vZ0x3z+Hth3a5jo8ERERaTyam9nijO1p4QxepcrWgQitIVgKmYrqpBOxokg8WbpWBMAxkXhyKfAV8Kt0IvZyJXF8HL5ahq+afYgq9r3gR70ngDleyi978s6Pei2BgQQzObwATK/pSaV+fbXsbb6eMZ1X3/gnfxkwkUEvLeXs889g1AQteCEiIiK1UuScO7mK/dmsA1FZnU+Bo9KJ2IZIPHkS8FQknjw+nYh9Vb5yOhGr0wrIVSXC5wGXAI/6Ue8YYBPBvL/NgGeBP3op/626nFz2nZISx7NLP+Kuv7zA0WvfY9KHL3P690bx8oW96dL96FyHJyIiIvu30nUgSmWuEVG+zppIPFm2VkQ6EXOEwxzSidiSSDz5AXAcUNYDHYknb08nYj+JxJN/o4KF1tKJ2PnZBFnVPMI7gLuAu/yo1wLoCGz3Uv6mbA4subFz2w5m/X0JD67axar1Wzmi5cEMG9CLbg9cR7P8/FyHJyIiIk3DG0D3SDx5DLCWYPrb75ers8daEelEzEXiyUMJEuLiSDzZFehOMBY4U+maFrfWJcispgXwUv4ugm5qaaC2b9nG9AeSPLCqiC8OaMOJR7Rm6vf7cN7xR9C8WV6uwxMREZEmJBzzOwmYTzCa4IF0IrYiEk/eCCxOJ2JzCdeKiMST5deKOAO4MRJPFgHFwOXpROzLcsdfEv58sS5xmnP737NurVu3dlu3bs3JuadPnw7AhAkT6uV8WzZ9zf33P8OMtfBly3xO2LGOK8+IcM6IQeTlKQEWERGRvc/MtjnnWuc6jrrSRLGN3Mfvr+b2dQfRx63nD6d1ZlBsqBJgERERkSxks8TyJOBhL+VvrId4pBquuJiZDzzN22s28fsbxtPz5J48k5eH1/ffch2aiIiISE5E4snW6USsxsMBsukRPgJ4w496bwIPAPM1d3D9KykpYcvzz/PF7bfzdotuLD26kO1btnFg/kF4faO5Dk9ERESk3kXiyVOB+4B84KhIPNkb+GE6Ebsim/bV/g3dS/m/Inha735gAvCeH/Vu8qPesbWOWmrkrTdX8p2fzeCJ394NxSX8fOJQnrntIg7MPyjXoYmIiIjk0h+BIcAGgHQitozgYbusZDWYNOwB/ix8FQGHALP9qPdfNY1Wsvfl1n9x3ZPvcOHj75POO5j8MWPp+re5dBg6ROOARURERIB0Ira6XFFxtm2zGSM8mWCOt/UEXc+/8FL+Lj/q5QHvAVfXIFbJQtGuIqbd9SR3rW3O9uYHMP7UCFedeSzt8lvlOjQRERGRhmR1ODzCReLJlsBkwM+2cTZjhDsCF3op/6PMQi/ll/hRb3iNQpVqLVv0DtfMWkKq1aGcXPQ5v/3hUKLHdsp1WCIiIiIN0eXAHUAXgpXqngV+nG3jSucR9qNe+6oaein/y6r2V8aPekcCDxE8hFcCTPNS/h3h+WYBESANjPJS/kY/6hnBBxwGbAMmeCn/zarO0RjnEd6+bQe33PY4M75qS37RDq49sTWjxmsqNBEREWl49pd5hKvKspYQrOm8OHyf+VpcRbvqFAE/81K+B/QHfuxHvZ5AHFjgpfzuwIJwG2AowcN63YGJwN11OHeDVVJUxN835HGuree5nw1mzMUxJcEiIiIiVYjEkzMi8WS7jO1DIvHkA9m2r3RohJfyj6lrcJUc91PC5Zq9lP+1H/V8gu7sC4DBYbUZwELgmrD8ofCBvVf9qNfOj3qdwuM0asVFxUyfNoexPxhC6zb5/P26YbQ79JBchyUiIiLSWPRKJ2KbSjfSidjGSDzZJ9vGWXU5+lHvQj/q3eZHvT/4UW9EbaKs5LgRoA/wGnB4aXIb/jwsrNYFyHwacE1Ythszm2hmi81scVFR0d4KcZ/ZtW4d8664mv/38QE8+pf5AEqCRURERGomLxJPliVQkXiyPTVYOTmbWSPuAroBj4ZFl/tR7xwv5Wc9ELmS4+YDTwA/8VL+V37Uq6yqVVC2x8Bm59w0YBoEY4TrEtu+tuaVxWy/ZgrHbtnC9Mmncsb47+Q6JBEREZHG6A/AK5F4cna4/T3gd9k2zqZHeBAwxEv5D3op/0GCh9YG1zTKTH7Ua0GQBD/spfy/hsWf+1GvU7i/E7AuLF8DHJnRvAD4pC7nzxXnHPfdl+TsJ1ezvGNXIjNnMvji72ossIiIiEgtpBOxh4DvAp8T5I4XphOxP2fbPpsMbCVwVMb2kcDbNQkyUzgLxP2A76X82zJ2zSWYr5jw55yM8ov8qGd+1OsPbG6M44OLSxzXz13Bb9+HvvYVg+7+A616HJfrsEREREQanUg82Sb82Z5gwbdHgIeBz8KyrGQzhqID4PtR7/Vwux+wyI96cwG8lH9+TQIHTgN+ALzjR723wrLrgATwmB/1LgU+JujaBniGoBf6fYLp0y6u4flybvuWbUya+hwLNjXnP04/hmuHDiMvr6IRHyIiIiKShUeA4QSzmWUOibVwu2s2B8kmEf7PGodWBS/l/y8Vj/sFOLuC+o4aTIzc0Hy9cTM/uPGvvHXAYVxT2IYfxXrmOiQRERGRRi2diA2PxJMGDEonYh/X9jjVDo3wUv6LBMMj2gJtgJVeyn+x9FXbEzcFW7/awg9u/Ctvt+zI749z/GjM6bkOSURERGS/kE7EHPBkXY5RbSLsR73LgNeBC4GRBHP5XlKXkzYF27ftYPz1j7GsZUd+18MYe4lWoxYRERHZy16NxJP9ats4m6ERvwD6eCl/A4Af9ToArwBZr9rRFL3x4pssa9aB3xxTzNhL9trUyyIiIiLyjTOByyPxZBrYSjhGOJ2I9cqmcTaJ8Brg64ztr9l9gQupwBlDT2VBt485qvtR1VcWERERkdoYWpfG2STCa4HX/Kg3h+ApvAuA1/2oNwWg3BRoTd66VRvZvrMYQEmwiIiIyD4QiSdbAZcTLPr2DnB/OhGr8dLC2cwj/AHwFN9MTTEH+BQ4OHxJqHjzZpauLmLetsPYvm1HrsMRERER2V/NAE4mSIKHEqwwV2PV9gh7Kf+G2hy4KVp3663EX3uK174/ngMPapXrcERERET2Vz3TidiJAJF48n6CiR1qrNpE2I96L7D7RMUAeCn/rNqccH+1ctFbbJ7zDFtO6kPLLh1zHY6IiIjI/mxX6Zt0IlYUiSdrdZBshkb8nGDmiF8AvwbeAhbX6mz7sesee5NfDLqSNQNOq3Hb/Pz8autcdtllvPvuuwDcdNNNu+079dRTa3WOwYMHM3/+/N3Kbr/9dq644ooaH2tv2rBhA2eeeSb5+flMmjSpRm137tzJ6NGj6datG9/61rdIp9MV1ps3bx49evSgW7duJBKJsvKpU6fSrVs3zIz169eXlS9cuJC2bdtSWFhIYWEhN954Y60+m4iIiOwVvSPx5Ffh62ugV+n7SDz5VbYHMef26Oytlh/1XvRS/qAaN6wnrVu3dlu3bq238y1bvZEL/vQKPz26hLYHbgBgwoQJWbfPz89ny5Yt+6x+ZW3uvfdeXn31VR588MGysv79+3PLLbdw+umVL/5Rm/PXxNatW1m6dCnLly9n+fLlTJ06Neu2d911F2+//Tb33HMPM2fO5Mknn2TWrFm71SkuLua4447jueeeo6CggH79+vHoo4/Ss2dPli5dyiGHHMLgwYNZvHgxHTsGvfsLFy7k1ltv5emnn96rn1VERKQxMrNtzrnWuY6jrrJZUKN9xqujH/WGAEfUQ2yNxoxFH3HwAc255OLz6nSchQsXMnjwYEaOHEk0GmXcuHGU/qJSmpjF43G2b99OYWEh48aNA77pod2yZQtnn302ffv25cQTT2TOnDlVnm/kyJE8/fTT7Ny5E4B0Os0nn3zCwIEDszrWwoULGT78m4VCJk2axPTp0wFYsmQJgwYN4qSTTmLIkCF8+umne7SfMGECl19+OaeffjrHHXdcWZLZunVrBg4cSKtWNR9nPWfOHMaPH1/2+RYsWED5X/Zef/11unXrRteuXWnZsiVjxowp+3x9+vQhEonU+LwiIiLS+GQzfdoSgjHCBhQBq4BL92VQjcn2LduY/9ZqhvY8nINbtajz8ZYuXcqKFSvo3Lkzp512Gv/4xz8YOHBg2f5EIsHUqVN566239mjbqlUrnnzySdq0acP69evp378/559/PmZW4bk6dOjAKaecwrx587jggguYOXMmo0ePxsxqfKxMu3bt4sorr2TOnDkceuihzJo1i1/+8pc88MCea7Ck02lefPFFPvjgA84880zef//9KhPg0aNHs3Llyj3Kp0yZwkUXXcTatWs58sgjAWjevDlt27Zlw4YNZT27wG51AAoKCnjttdeq/VyLFi2id+/edO7cmVtvvZXjjz++2jYiIiLScGUza8Qx9RFIY7Vw3qtsLcnj2wfunaEYp5xyCgUFBQAUFhaSTqd3S4Sr4pzjuuuu46WXXiIvL4+1a9fy+eefc8QRlXfgjx07lpkzZ5YlwqXJam2OVWrlypUsX76cc845BwiGInTq1KnCuqNGjSIvL4/u3bvTtWtXUqkUhYWFlR67/DCH8ioa6lM+ec+mTnl9+/blo48+Ij8/n2eeeYYRI0bw3nvvVdlGREREGrZKE2E/6vUDVnsp/7Nw+yLgu8BHwPVeyv+yfkJs2N5IrSXPteO0s/ruleMdcMABZe+bNWtGUVH2c0M//PDDfPHFFyxZsoQWLVoQiUTYsaPq+YxHjBjBlClTePPNN9m+fTt9+/bN+ljNmzenpKSkbLt0v3OO448/nkWLFlUbc/kEtLqEtLoe4YKCAlavXk1BQQFFRUVs3ryZ9u3b71a3tE6pNWvW0Llz5yrP26ZNm7L3w4YN44orrmD9+vW79TSLiIhI41JVj/C9wLcB/Kh3BpAArgQKgWnAyH0eXQY/6p0H3AE0A+7zUn6imib1IrVxF0cXb+TgQ9rW2zlbtGjBrl27aNFi96EYmzdv5rDDDqNFixa88MILfPTRR9UeKz8/n8GDB3PJJZcwduzYGh3r6KOP5t1332Xnzp3s2LGDBQsWMHDgQHr06MEXX3zBokWLGDBgALt27eKf//xnhUMJHn/8ccaPH8+qVav48MMP6dGjR5XxVtcjfP755zNjxgwGDBjA7NmzOeuss/ZIrvv168d7773HqlWr6NKlCzNnzuSRRx6p8rifffYZhx9+OGbG66+/TklJCR06dKiyjYiISFMWiSd3y93SiVii3P4DgIeAk4ANwOh0IpYO911LMBS3GJicTsR2n+ZqL6nqYblmGb2+o4FpXsp/wkv5vyZYzq7e+FGvGfAngpVDegJj/ajXsz5jqMyXxc3omFfjFf3qZOLEifTq1avsYblS48aNY/HixZx88sk8/PDDRKPRrI43duxYli1bxpgxY2p0rCOPPJJRo0aVxdKnTx8AWrZsyezZs7nmmmvo3bs3hYWFvPLKKxWeu0ePHgwaNIihQ4dyzz33lI0PjkQiTJkyhenTp1NQUFA2dVx1Lr30UjZs2EC3bt247bbbyqZG++STTxg2bBgQ9GRPnTqVIUOG4Hkeo0aNKkvS77zzTgoKClizZg29evXisssuA2D27NmccMIJ9O7dm8mTJzNz5sysxkuLiIg0RZF4co/cLRJPls/dLgU2phOxbsAfgZvDtj2BMcDxwHnAXeHx9rpKp0/zo95yoNBL+UV+1EsBE72U/1LpPi/ln7AvAqoklgEEwzGGhNvXAngp//cV1a/P6dP6//QRerXYwbT/ugSgbNaEmkyf1lRNmDCB4cOHM3Jkvf5xQUREROqouunTIvHkAOD6dCI2JNy+FiCdiP0+o878sM6iSDzZHPgMOBSIZ9bNrLe3P0dVQyMeBV70o956YDvwMoAf9boBm/d2INXoAqzO2F4DfCuzgplNBCZC0CNZX5JXn0NR8TfjZJUAi4iISBPQ3MwyF1ib5pyblrFdbe6WWSdcHW4z0CEsf7Vc2y57K/BMlSbCXsr/nR/1FgCdgGe9lF/adZxHMFa4PlX0N+jdurLDL38aBD3C9REUQIdOh9bXqfY7pb3nIiIi0ugUOedOrmJ/tblbFXWyabtXVDl9mpfyX62g7J/7IpBqrAGOzNguAD7JQRwiIiIiUr1scrfSOmvCoRFtgS+zbLtXZLOgRkPwBtDdj3rHAGsJBlB/P7chiYiIiEgl3gC6R+LJqnK3ucB4YBHBbGTPpxMxF4kn5wKPROLJ24DOQHfg9X0RZLVLLDcEXsovAiYB8wEfeMxL+StyG5WIiIiIVCSdiO2Ru6UTsRWRePLGSDx5fljtfqBDJJ58H5jCNw/JrQAeA94F5gE/TidixfsizkpnjWjM6nPWCBEREZGmprpZIxqLRtEjLCIiIiKyt+2XPcJmVkIw5Vt9aQ7U76oaUle6Zo2TrlvjpOvW+OiaNU71ed0OdM41+g7V/TIRrm9mtriaKUSkgdE1a5x03RonXbfGR9escdJ1q7lGn8mLiIiIiNSGEmERERERaZKUCO8d06qvIg2MrlnjpOvWOOm6NT66Zo2TrlsNaYywiIiIiDRJ6hEWERERkSZJibCIiIiINElKhOvAzM4zs5Vm9r6ZxXMdj1TMzI40sxfMzDezFWZ2VVje3syeM7P3wp+H5DpW2Z2ZNTOzpWb2dLh9jJm9Fl6zWWbWMtcxyu7MrJ2ZzTazVHjPDdC91rCZ2U/DfxuXm9mjZtZK91rDY2YPmNk6M1ueUVbhvWWBO8P85G0z65u7yBs2JcK1ZGbNgD8BQ4GewFgz65nbqKQSRcDPnHMe0B/4cXit4sAC51x3YEG4LQ3LVQRr1Je6GfhjeM02ApfmJCqpyh3APOdcFOhNcP10rzVQZtYFmAyc7Jw7AWgGjEH3WkM0HTivXFll99ZQoHv4mgjcXU8xNjpKhGvvFOB959yHzrl/ATOBC3Ick1TAOfepc+7N8P3XBP8xdyG4XjPCajOAEbmJUCpiZgVADLgv3DbgLGB2WEXXrIExszbAGcD9AM65fznnNqF7raFrDhxoZs2Bg4BP0b3W4DjnXgK+LFdc2b11AfCQC7wKtDOzTvUTaeOiRLj2ugCrM7bXhGXSgJlZBOgDvAYc7pz7FIJkGTgsd5FJBW4HrgZKwu0OwCbnXOnyobrnGp6uwBfAg+GQlvvMrDW61xos59xa4FbgY4IEeDOwBN1rjUVl95ZylCwpEa49q6BMc9E1YGaWDzwB/MQ591Wu45HKmdlwYJ1zbklmcQVVdc81LM2BvsDdzrk+wFY0DKJBC8eUXgAcA3QGWhP8Wb083WuNi/69zJIS4dpbAxyZsV0AfJKjWKQaZtaCIAl+2Dn317D489I/FYU/1+UqPtnDacD5ZpYmGHZ0FkEPcbvwz7ege64hWgOscc69Fm7PJkiMda81XN8GVjnnvnDO7QL+CpyK7rXGorJ7SzlKlpQI194bQPfwydqWBA8XzM1xTFKBcGzp/YDvnLstY9dcYHz4fjwwp75jk4o55651zhU45yIE99bzzrlxwAvAyLCarlkD45z7DFhtZj3CorOBd9G91pB9DPQ3s4PCfytLr5nutcahsntrLnBROHtEf2Bz6RAK2Z1WlqsDMxtG0EvVDHjAOfe7HIckFTCzgcDLwDt8M970OoJxwo8BRxH8Z/A951z5BxEkx8xsMPBz59xwM+tK0EPcHlgK/Ltzbmcu45PdmVkhwQOOLYEPgYsJOl10rzVQZnYDMJpghp2lwGUE40l1rzUgZvYoMBjoCHwO/AZ4igrurfCXmqkEs0xsAy52zi3ORdwNnRJhEREREWmSNDRCRERERJokJcIiIiIi0iQpERYRERGRJkmJsIiIiIg0SUqERURERKRJUiIsIg2GmRWb2VtmttzM/mZm7XIdU1XMbISZ/Wf4/nozc2bWLWP/T8Oyk8PtZ0o/k5ltCX9GzGx5+P5kM7szB58jGn7vS83s2CzblF6rFWa2zMymmFleuTp3mNnazHIzm2BmU8P3k8zs4r37aUREsqdEWEQaku3OuULn3AnAl8CP99WJMlbNqourgbsytt8hWACk1EiCxQkAcM4Nc85tquxgzrnFzrnJeyGumhoBzHHO9XHOfZBlm9JrdTxwDjCMYF5TAMLk9zvAauCMSo7xAJCLzysiAigRFpGGaxHBpP4AmNkvzOwNM3s7XAAAM2ttZsmwR3K5mY0Oy08ysxfNbImZzc9YgnShmd1kZi8CvzSzdGlvZbiy1moza2Fmx5rZvLD9y2YWLR+cmR0H7HTOrc8ofgq4INzfFdgMfJHRJm1mHSv7wGY22MyeDt+3N7Onws/7qpn1CsuvN7MHws/yoZlNruq7KHf8wvBYb5vZk2Z2SLgw0E+Ay8zshXL1jzaz98yso5nlhd/FueWP65xbB0wEJoUT+QOcCSwH7gbGVvR5nXPbgLSZnVLZdyIisi8pERaRBsfMmhEs9To33D4X6A6cAhQCJ5nZGQSrJn3inOsd9iLPM7MWwP8HRjrnTiLodcxc9bGdc26Qc+4GYBkwKCz/N2C+c24XMA24Mmz/c3bv9S11GvBmubKvCJYYPoEg+ZtVh6/hBmCpc64XwUqID2XsiwJDCL6P34SfeY/vooJjPgRcEx7zHeA3zrlngHuAPzrnzsys7Jz7CLg53P8z4F3n3LMVBeuc+5Dg/5TDwqKxwKPAk8DwMMaKLAZOr/xrEBHZd5QIi0hDcqCZvQVsIFja9bmw/NzwtZQg+YwSJMbvAN82s5vN7HTn3GagB3AC8Fx4rF8BBRnnmFXufWnP6RhglpnlA6cCj4ft7wU6VRBrJzJ6ezPMDI81giAJrK2BwJ8BnHPPAx3MrG24L+mcK+2NXgccTsXfRZmwbTvn3Ith0QwqH7JQxjl3H3AwcDnBLwVVsfBcLQmGSjzlnPuKYDnzPXqSQ+uAztXFISKyL+yNMXIiInvLdudcYZi0PU0wRvhOggTr9865e8s3MLOTCJKu35vZswTJ5wrn3IBKzrE14/3csF174CTgeaA1sMk5V1hdrEDbCsr/BtwCLHbOffXNSIEaq6ihC3/uzCgrBpo75/5Z/rtwzt1Y25OXBWF2EN/8IpEPfF1Jva5hLOsIetfbAu+En/8gYBuQrKBpK4LvUkSk3qlHWEQanLA3czLw8/BP6vOBS8LeWsysi5kdZmadgW3Oub8AtwJ9gZXAoWY2IKzbwsyOr+Q8W4DXgTuAp51zxWEP5ioz+17Y3sysdwXNfaBb+ULn3HbgGnYfjlEbLwHjwhgGA+vD2CpUyXeRGddmYKOZlQ5D+AHwItW7GXgY+E/gvys596EEwyemOuccwbCIy5xzEedcBDgGODdMqss7jmAssYhIvVOPsIg0SM65pWa2DBjjnPuzmXnAorCHcQvw7wSJ6C1mVgLsAn7knPuXmY0E7gx7lpsDtwMrKjnVLOBxYHBG2TjgbjP7FdCCYLjDsnLtXgL+YGYWJn+Zsc+s7efOcD3woJm9TdCbOr6a+idS7ruooM544J4wIf0QqHLqMjMbBPQDTnPOFZvZd83sYufcg3wzjKUFUEQwjOO28NhDgB+WHsc5t9XM/pegp7i80wjGQ4uI1Dsr9++3iIhkyczuAP7mnPufXMfSGJlZH2CKc+4HuY5FRJomDY0QEam9mwjGv0rt1MFB/wAAAEJJREFUdAR+nesgRKTpUo+wiIiIiDRJ6hEWERERkSZJibCIiIiINElKhEVERESkSVIiLCIiIiJNkhJhEREREWmS/g+DvUuQ7RSWVAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a257e6c18>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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Ulpb69VwtWLCACRMmEBgYSNeuXenRowcrVqxoc//Kykq+/fZbLrvsMr/abxIWFsa9997L4MGDGT16NCtWrGDkyJF069aNTz/VSqa2fB5aM336dB555BEAvvrqK0aMGIHHs/8iZVdffTVjxoxh7tx9i4XNmzePZ599lry8PHbt8mfROEVRFEU5acwGLmhn+zbgHGdWRj/g/wGvt7PvYVEBcgf69ddfeeGFF9iwYQNbt27lhx9+aLY9KyuL4OBgfvvtN959t/kCYkFBQXz88cesXr2axYsX8/e//532JlzGxMQwdOhQFi5cCEB2djZXX301QoiDbstXY2Mjf/3rX/nggw9YtWoVU6dO5R//+Ee7x6xevZqePXsSHx8PwNNPP82AAQP2u02fPh2AXbt2kZKyb4Xf5OTkdoPHjz/+mPPOO4+IiAjvYz/99BP9+/fnwgsvZP369a0eV11dzciRI1m1ahXh4eE88MADfP3113z88cf861/+r96alZXF/PnzWbx4MdOnT2fWrFnN0ih8DRo0iNzcXAB27txJYWEhQ4cOZfz48cyfP9/vcyqKoijKic6ZlbEMKGln+4/OrIym0bXlQPLR6ssJnWJxohs6dCjJydprO2DAAJxOJ8OHD/frWCkl999/P8uWLcNgMLBr1y52795NQkLbK4xOnDiR7Oxsxo0bR3Z2Nm+99dYht9Vk48aNrFu3jvPPPx8At9tN586dW933+eefZ+bMmWzdutUbqAPMmDGDGTPaXviptWC9vVzcefPmceONN3rvDxo0iO3btxMWFsYXX3zBZZddxubNm/c7LiAggAsu0D64pqWlERgYiNlsJi0tDafT2eb5WgoJCWHmzJmMGDGC559/nu7du/t1bdnZ2YwfPx6ACRMmMG3aNO666y6/z6soiqIoxzGTEGKlz/3XpZSHMwI8DfjyMPvUJhUgd6DAwEDvz0ajsdkErgN599132bt3L6tWrcJsNmO1Wqmrq2v3mMsuu4y77rqL1atXU1tby6BBg/xuy2QyNUsTaNoupaRPnz789NNPHMidd97J3XffzUcffcTkyZPZsmULQUFBPP300/uNkAOMGDGCF198keTkZHbu3Ol9PC8vj8TExFbPUVxczIoVK/j444+9j/mOJF900UXcdtttFBUV7ZfPazabvYF30wS/pp8P5rUBWLt2LTExMeTn57e736+//sqQIUMALbDfvXu397nIz89n8+bN9OzZ86DOrSiKoijHIZeUcsiRaMiamXMuWoDs36jiIVApFsc5s9lMY2Pjfo+Xl5cTHx+P2Wxm8eLFbN++/YBthYWFMXLkSKZOncrEiRMPqq3U1FQ2bNhAfX095eXlfPPNNwD06tWLvXv3egPkxsbGNlMYmlxxxRUMGTKEOXPmANoI8m+//bbf7cUXXwTg0ksvJTs7m/r6erZt28bmzZsZOnRoq22///77XHzxxc0qfRQWFnpHalesWIHH4yEmJuaAz9eh2r59O88++yy//vorX375JT///HOr+3344YcsWrSIiRMnsnHjRqqrq9m1axdOpxOn08l9991Hdnb2UeunoiiKcnKRbjfu8nIa8vKQ+sBO/R9/UPbxJ+ye8w4/Pf86cx55lX/d9xquuvoO7u2hsWbm9APeAMY5szKKj9Z51AjyYWiapDZlyhS/j/Gn6sbGjRvZunUrQ4YMIS0tjX79+jFo0CDeffddamu1SaCTJk3ikksuYciQIQwYMACbzdbuOUaOHMl9993HxIkTueKKK8jOzuaFF15g06ZNPPLIIwdsKyUlhfHjx9OvXz969uzJwIEDAS0t4YMPPmD69OmUl5fjcrn429/+Rp8+fZqdv6ioiHfeeYf//ve/1NfXY7fbee6557jpppvazM9tMnfuXJxOJ8HBwfTs2ZOXX34Zo9FIfX09VquVoKAg4uPjmT9/PtnZ2WRmZvLEE0/w5ptvYjQaGT16NEuWLMFkMhEcHEx2djZCCLZt28aECRMoKSlh0KBBfuddt+bGG2/krrvuwm63Y7PZmDlzJomJibz55ptMmTKFoKAgdu7cSVFREZmZmRiNRoKCgvjggw+Ii4vj5Zdf5vLLL/e253K5eP7550lOTuaf//znIfdLURRFOXF46uvxVFTgrqzEnJCAISSEhu3bqf7pJ9yVlXgqKnFXaf/G//0uzImJlC9YwJ7nX8BTUYGnpgYJlARFUPfybP5wBfD7d7+Su6uMneHxuAzRAJg8bm7cXUqX1AOnUh5PrJk5XYCPgOucWRmbjua5TuiV9EJDQ2VHlnk7lAD5VC3zNnbsWG677TbGjRsHaCkIaWlpfh27fPlyUlNT6dmzZ7O+vPLKK6xZs4ZXX32V7OxsPv74Y+bPn+93Wbjx48dzxRVXMGHCBG699Vb69+/Pn/98+KsIt1eSzd/ScC6Xi9jYWMrKyg67P4qiKMqxIRsb9UC2AmNUFEaLBVdREZXffIunsgJ3RSXuinI8FZVET7me4H79qF6+nF0zZuCpqETW7xvV7TJ7FqHp6VR88QW77vq79qDZjDEsDENEOMkvvkhQr15sX/ITC79awYiwBmItIbzfGMtTu8O87SSEB9ArKhBbYgS9U6KxJ0fRNTYUs/HYJhEIIWqklKHt7WPNzJkHjARigd3Ag4AZwJmV8ao1M+cN4Eqg6atulzMr44ikbexHSunXbUMvW6C/+x6rW0hIiOxIs2bNkrNmzTqoY0JDQ6WUUi5evFiec8458sorr5S9evWS11xzjfR4PFJKKc855xz5yy+/yHvvvVcaDAbZv39/ec011zQ7vrKyUo4aNUoOHDhQ9u3bV37yySf7ncNXUVGRjI2NlXV1dVJKKbdt2yZTUlKkx+Pxq63FixfLjIwM7+N/+ctfvNe+cuVKOWLECDlo0CA5ZswYmZ+fv9/509LS5MqVKw/quWqp5XWNGTNG/vjjj1JKKRsbG2VMTIz0eDzy8ccfl48//nir+zXxeDwyJiZGNjY2Siml/PHHH+WYMWP2O+eDDz4oJ0+eLM8//3yZmpoqP/zwQzljxgzZt29fOXbsWNnQ0CCl3PeaSSllamqq3Lt3b6vXMGvWLPmXv/yl2WPvvPOO7Nu3r+zTp4+87777vNdjsViklFLu2bNHDh06VH755ZdSSimfeOIJefrpp8u0tDT58MMPSyml3Lx5s+zTp4+cOnWq7N27t7zgggtkbW2tlFLK5557TtrtdtmvXz85adKkdp9jRVGUU5nH5ZKu0lJZv2OHbCwqklJK6a6ulqXvvy+L3nxL7n7hBVnw8CMy7+4ZsuKbb6WUUtZv2yY3jThHOgYOkht62by3kvfek1JKWbNmzb7H+/SVG9OHyc1jxsjKpUullFLWbd4s8x/4pyx86im599XXZMncubLss89l45493vPXFRbKbbuK5cK1+fKFrzfJW99ZKb/N3S2llHKls0Sm3vu5XLS+UEop5abCCjn7h21y+ZYiWVbdcEyfv/YA1fI4iB39vbWZYuGw2QXwJ2ASkA54HDZ7ALALyAFm2nMdW49K1H6K+PXXX1m/fj2JiYmcddZZ/PDDD82qWGRlZfHSSy/x22+/7XdsU2m2iIgIioqKSE9P59JLL22zuoNvmbemKhYty7z525avpjJvCxYsIC4ujvnz5/OPf/zDWyGjyZ133smoUaM488wzGTNmDDfccAORkZFs3LiRq6++utW2lyxZQmRkZJvn9i3/ZjKZsFgsFBcXs2vXLtLT0737tVYWrri4mMjISO9qde2VjtuyZQuLFy9mw4YNDBs2jA8//JCnnnqKyy+/nJycnIOut+wrLy+PBx54gJUrV2KxWBg9ejSff/65t5pGQUEBl156KU8++SSjRo3iiy++YMeOHfz8889IKbnooov48ccfiY+PZ+PGjcybN4+0tDSuuOIKPvnkEyZMmMBTTz3F9u3bCQgIUCPSiqKc1KSUyNpa3OXlYDBi7qSVEy37+BM8FeXaCG5lBZ7yCkKGnk7klVfiqa9nywUXaikKPt9Kx9xyC/F3/g1PfT0FD+ipbgYDhvBwjOHhhOgTrA0WC6HDz8IYHoHREoEhPAJjRDjBAwYAENirFz2WLsEYHo4IDt7vb2tgjx50/n+PeO83uDz8trOM3D8qcHxXSG5hBZsKK6lucAMgBKRGh1Beo81P6psUwZK7R9IlWlv1tmencHp2Cj8Kz+6ppb0c5MXAUuBh4Hd7rsMN4LDZ44FzgeccNvv79lzH/uUHFL+cSmXebrjhBsaOHcvChQtZsGABr732Gr///ju9evVq9QOAv89BS0IIv8rC+bNPkwsvvNBb7s3tdjcrBXcw5d9a8/PPPzNq1ChvOsY111zDsmXLuOCCC2hoaGD06NG89tpr3vfFokWL+PLLL7054FVVVWzatIn4+Hh69OjhTVsZPHiwt299+vTh2muvZdy4cYcVzCuKohwrnoYGZF0dRr0KUfXy5bh278ZdXo67vAJ3RQUByUlEX389AM5J19LgdOKuqAB9YnvERReR9NyzAOx+9FFv8NsU4JqTtGpIIiCA0GHDMISFNgtyg+zafByjxUKPb7/BEBGBISQE0WLejCkqisTHHmvzWgwBARg6dWpzu5SSF/63mW5xoYwbkESdy83417SJ75ZgM7aEcP40JAVbQji2zhGc1imMkIB94VugyYg1tt3MBeUQtBcgj7XnOvab4mjPdewB5gPz9RFl5RCdamXeEhMTmTp1KlOnTqVv376sW7eOsLCwQx5Bbir/lpycjMvlory8nOjoaL/KwjXl97pcLkwmU7ul43zLvbUsBXew5d9aai1Qb2I2mxk4cCCLFi3yBshSSh544AGmTZvWbN8//vijzffTV199xdKlS1mwYAGPPvoo69ata3eZbkVRlCNBejzeYLJ+yxYa8wtwV5TjLi/HU1GBCAgkZuoNABQ8/DC1q1ZrAXBFBbK2lqD+/eiqL5i0O+tJ6vVFlUALckOHn+UNkIN69yawe3eMlgiMFguGiAgCfWrQd/vsUwyhoRjCwhAt/v8TQpD4eNsBrjAYMLfx98Ff5bWNbCysxFFQQW5hBRsKKukUHsjrk4cghGDhukLO6BbNuAFJRASZeffGM+geF0aniEC/vs1Vjrw2A+Sm4Nhhs1uBfHuuo8Fhsw8H+gH/tec6Kuy5joZj081TV1OZN7PZ3OzxjizzVldXxzfffMPw4cOblXkbNmwYjY2NbNq0ab8qFgsXLuS8887DbDZTWFhIcXExSUlJJCQkHPII8qWXXsqcOXMYNmwYH3zwAaNGjUIIwaWXXso111zDXXfd5a0l3LIsnBCCc889lw8++IAJEyYwZ84c7wTCYyk9PZ0ZM2ZQXFyMxWIhOzubu+++29vH2bNnc+WVV/LMM89w9913M3bsWB599FEmTJhAaGgoeXl5zUrateR2u8nLy2PUqFEMHz6cd999l5qaGsLD1ddviqL4z1VaiqugYN8Ibnk5npoaYm6YAkDJ2+9Qufhb7XF9uwgM5LQfvgdgz/PPU/W/b5q1GWC1egNkY2go5i4pBEX0xWixYLREYE7et4Jq0nPPIoxGDBERGCMi9gtyE/5xf7v9P9wA92At27SXX5wlOAq0oHhXWa13W1SIGXvnCPokWryPfXHH2RgN+wLhs3rsP8lbObb8KfP2CXC6w2bvDryNln88F7j4aHZM0dx8883Nyrw1aa/MW3t8y7wdTFuHW+Zt0aJF3HHHHd5g7umnn/YrhQPgnnvuYe7cudTU1JCcnMyNN97IQw89xLRp07juuuvo0aMH0dHR3mvq06cP48ePp3fv3phMJm9ZONAWCnnjjTdITEzkySefZMKECTzwwAMMHDhwv1HZYyE5OZlHHnmEkSNHIqXkkksuISMjwzv6azKZeO+998jIyCA8PJxbbrmF3Nxcb451eHg4c+fObbN9l8vFNddcQ2VlJR6Ph3vvvVcFx4pyipINDbjKyvCUl+MuK8NVVkbY2WdjCAqi6rvvqVz0Fe6yMtylZVogXFZG94VfYggNpfjV1yjRa9f7ir52EsJsxlNdhayrxxwXj7FnTwwRFkwx0d794m6/nZip07QR3ogIDBYLhoB9X0LH6wMDbQns1u3IPRFHSEVdI+GBJoQQvLdyJ1+tK+TNKafiXlfKAAAgAElEQVQDMG/FDr5aX0i3uDAGpUYxKb0L9s4R2BMiWh0V9g2OlePDAcu8OWz21fZcxyCHzT4DqLfnOl502Oy/2nMdA49NF9t2IpZ5UxRFUZTDId1u3BUVuMvKMMfHYwgNpcHppGrpUlxlZVqQq986P/ggAVYrpdnZFD708H5tdfvyCwK7dqXk7bcpmjkTU2QkRkskxqhIDBYLne69F2N4OHUOBw15efrobqQ3lUEEBZ30KQAej2R7SY2WHlGgpUfkFlaQV1rLT/eNorMlmP8u387na/KZM3UogSYjeyvrCQ8yEWRW6WxN/CnzdjzxZwTZ5bDZ/wRcBzTN8DG3s7+iKIqiKH5oytN1V1VR+9vvWmBb3hTglmO5bBzBffpQs3o1+ffdh7tMy99FH9xKmTmTsLOHU7dpE7ufyAKDAWNEBMbISIyRkXjqtUzIoLQ04u6Yrj1usXi3N6UeRE+eTPTkyW32M8huJ8huP/pPyHFi3a5y3v15B46CCjYWVlLbqFWQMAjoFhfGgJRIJg7t4q0lfG16Ktemp3qPjwsPbLVd5cThT4A8FbgNeMqe69jqsNm7AvOObrcURVEU5cQiGxpwlZbhLivFXardArp1I6hXL1xFRex+Igt3aSmuslItjaG0lE6Z9xI1YQKNO3ey88Ybm7VnCAsjZPAggvv0wWixENw3rXmAGxVJ4GmnARA2YgSn/bwcQ3j4flUWAIL79CG4RerbqczjkewoqSE4wEiniCA2FlYybc4vPH55GiNOi2NvZT1frC3A3jmcq09PoXfnCOydI+jZKUyNCp8iDhgg23Md69AC5Kb724C2p3sqiqIoyglOut1aLV0pMcXEIKWk7P33vYFtU6AbNmIE0ZMm4a6sZNPpQ/drJ+bPtxLUqxcYDNSuW4spMgpzfCeCetkwRkUReFovQJuwlvruf70ju8aICITP5OzA7t1JevaZNvtrCAqCdibsnsqq6l3kFlTg0KtINI0K1zS4uXP0adwxuiedIgLpnxJJWJAWFp1zWhy//ev8kz595GRmzcyJRRvkteIT7zqzMm725/gDBsgOmz0d+JfPCQQg7bmO0w6+u4qiKIrSMRp37cJVVISrpMQb6Jri47BccgkAO265hcbtO7QAWE9jiLjkEpKefgohBLuznkTW1CBCQrRc3agoZINWc9cQFqalMERFYYyM0v6NisSsT0Y2RUfT46uv2uybITiYkMGDj/6TcBLzeCTVDS7Cg8zUu9z8de6v5BZWsqOkxrtPRJAJe+cIxg9Jwd45nKFdYwCIDAng5WsGefczqElzJ4MFwHLge8B9sAf7k2IxC7gHWHUwJ3DY7EHAMiBQP88H9lzHg3qKRjYQDawGrtNLyAWiVckYDBQDV9tzHc6DuBZFURTlFOGpq8NdXIynrs5b77Z8wQLqNm7CXVKCq6QYd0kp5sREkl/8NwA7b/0z9Zs3N2sn9Mxh3gDZFBmJISQEk0+Q25TCAND9yy+1RSRaGakVQhD75z8frctVWqhrdLOxsJKy2kbOOS0OgIte/I7u8WG8fM0gAk1GSmsaSEuyMH5IMraECOyJESRaTv5JhYpXqDMr4++HerA/AXKFPdfx2SG0XQ+Msuc6qhw2uxn43mGzfwncBTxvz3VkO2z2V4FpwP/p/5bacx09HDb7BOBJoPUVJBRFUZSTTlOtXVdxCe7SElzFJcj6emJvvQWA3U8+ReXXX+MqKUHWaKOC5qQkenzzPwDKP/ucmhUrMMbEYIqOxhgTTUBqF2/78ffMAI9HG92NjsYYGYUhNMS7PfHJJ9vtX9OyxcqxVVRVz4b8CjYUVLAhX0uR2LK3Co+EpMhgfsgcBcD1Z1qJDN6XlvL+rWd2VJeV48OX1sycMc6sjEWHcrA/AfK3Dpv9CeAjtKAXAHuuY017B9lzHRKo0u+a9ZsERgHX6I/PAR5CC5DH6T8DfAC85LDZhd6OoiiKcgKRHo9WS7eoiIBu3RBGI9U/r6D6xx/1Ed4S3CUluEtL6ZbzOcJoZO+//01Z9vxm7YiQEGJuuRkhBKb4eIIHDtSC3+hoTDHRmOL3Ba3Jr7yM8FntsqWws88+qtesHB63R5JXWkNqjFYJ7PmvNzFvxQ72VO5b1DfREkTvxAgu7JtA70Rt4lyTiUO77Nemckq7FbjXmplTAzSgpwg7szKi2z9M40+APLzFv6AFuiMOdKDDZjeipWb0AF4GtgBl9lxH0/q8eUCS/nMSsBPAnutwOWz2ciAGKPJtUwhxM3AzaItUKIqiKMeGb9DrKirCVVSMq7gIy7hxmKKiqPjyS4pmzsRdVIyrpAT0BW96LFmMOSGB2tWrKH7jDYxRUd4R3qDevZH19YiQECKvvIrQs87C1DQCHB2tVWXQA96mVdvaYlB/E04YNQ0ucgsr2ZBfwSX9ErGEmHl16Rae/moj6x4eS1igidjwQIb3jKV35wh6J0bQu3MEkSHqNVb8dljLEfpTxeKQP3Lbcx1uYIDDZo8EPgZaK6LYNELc2kf+/UaPpZSvA6+DtlDIofZNURRF0YJePB6EyYSrqIjqn5bjKi7Sg+BiXMXFxN91J0F2OxWff07+Pffu10bIwIGYoqIQQUGY4+IJstsxxcZpgW5sDIYwbfXGmGnTiLnlllbLkAEEp/UlOK3vUb1e5diSUrKnst6bHrGhoAJHfgXbiqubSjnTNTaUs3rEMtreifjwQG8wcF16Ktf51BZWTn7WzJy30FZq3uPMytjvPwNrZo4A/g1cBNQAU5xZGatba8uZleG2ZuZMALo5szIet2bmJAOd0AZuD8ifKhZxwKNAkj3XcbHDZu8NDLXnOmb7cwIAe66jzGGzLwHSgUiHzW7SR5GTgXx9tzwgBchz2OwmwAKU+HsORVEURSOlxFNdjWvPXlx792JOSiIgOYnGXbvY+5+XcBUX4yrSg+CSEhKfehJLRgb1f2whf8YMrRGzWQ9wY/HU1gIQ3K8fne6/H1NsDMaYWEyxMZhiYjBYLACEn3su4eee22a/hBrhPam5PZKte6uIDAkgLjyQX5wl3PrOKoqrG7z7pEQHY0+I4NIBid6R4aTIYAB6JYTTKyG8o7qvHB9mAy+hFW1ozYVAT/12BlqK7hmt7WjNzHkJLb13BPA4WkD9KnC6Px3xJ8ViNvAu0DRssBmYrz/eJj2wbtSD42BgNNrEu8XAVWiVLK5HK8MB8Kl+/yd9+7cq/1hRFGUfKSXusjJce/c2uwWnpRGano5r716c116La89epB7UAsTfcw8xU29Aut1U//wzppgYzPHxBPXWRnoDu3UDILhfGt2+yNGC3oiI/XJ5A6xWoq3WY3nJynGqsq6RXL2ucJfoEEb2iqe4qp7zn1/Gg5f05oazupIUGcwoW7w3PcLWOQJLsFqIV2mbMytjmTUzx9rOLuOAt51ZGRJYbs3MibRm5nR2ZmUUtLLvmc6sjEHWzJxf9bZLrJk5fn9K9ydAjrfnOuY6bPYZAPZcR6PDZven3FtnYI6eh2wA3rPnOj532OwbgGyHzf4o8Cvwpr7/m8A7Dpv9D7SR4wn+XoSiKMqJTErpDUarvvsO1+7d3uC3cc8eQgYP0fJvGxvZPGz/mfnR06YSmp6OISKC4D59MY2MwxQfhylOuwXoZdACunSh5+Jv2+yHISTEGywrCmjvzYLyOm/1iA36bXvxvtrC44ckM7JXPHHhgfx7wgAGp0YBkBgZzNN/6t9RXVeOPyYhxEqf+6/rabMHwztfTdc0l621ALnRmpljQE/XtWbmxAAevzvrxz7VDps9uukEDpv9dKDyQAfpVS4GtvL4VmC/5YbsuY464E9+9EdRFOWE0DTi66muISBZm49cPGs2DVu3eNMfXHv3Ejx4MMkvPA9AfuZ9uIuLATBYLJjiYgmya9M3REAAnf71T0yRkd7g1xQXhyFUm/VvCAwk6blnO+BKlZPFH3sqKatpZIhVm+g/6tmlbCuq9m63xoTQJzGCqwYlayPDiREkRGh1oYUQjBuQ1Gq7igK4pJRDDrMNv+ar6V4GPgTirJk5DwPjgUf8PZE/AfLdwGdAN4fNvhQtUr/K3xMoiqKcjDwNDbj27MG1ezee2jrChp8FwJ4XXqDml5XaKPCePciGBoL69qXrB+8DUPHFFzTm52OKj8cUF0ug3UZwv32jbF3efANDWDimuFgMgYH7nTf6mmv2e0xRDlZNgwtHQSUb8ssprKhjxlgbAI/mOCgsr2Ph37RCVROHphBsNmLXUyTCAv0JGxTlqGmar9bEdy5bM86sjLetmTmr0FJ8BfAnZ1bGOn9P5E8Vi5UOm/1ctAoUAtjgb+OKoignGiklnvJyGnfvwbVnN67du3GXlxMzbRoAu7OepHzBAtylpd5jjHGxnPbddwB4KioQBgPBAwZg6hSPuVMnAlL3zcS3zs9us4oDQJDNdpSuTDlVlVY3sD6/gvX55d5/txVV49HH3aJDA5h+Xk8CTUbuGWsjwLRvkO7mEd07qNeK0qpPgdutmTnZaJPzytvIP8aamXO9MytjDrDe57FHnVkZD/hzIn+qWMy05zpuAn7X74egTaw7358TKIqiHE/cVdU05u2ksaAAV2EhjQWFNBYUkPjYo4iAAPZkZVEyp8UEaoOB6MmTEWYzAVYr4eef7w1+TfqtScK//tXu+dsLjhXlcJVWN7Byeyln94wlyGzkhf9t4oX/7VteW1tow8LF/RLpkxhBnyRLs+WXeydGtNW0ohx11sycecBIINaamZMHPIhWiQJnVsarwBdoJd7+QKtKcUM7zV1jzcypd2ZlZOttvwj4/Qb357uSvQ6b/T/2XMdf9XrGn3OAChaKoigdxVVaSt2GDfuC38ICXPkFdH78McwJCZRlz2PPMz55uiYT5k6dcJWVYY6PJ+zcUZg6d94X/MZ3whQfhzBrs++jJlzdQVemKPu4PZJtRdWszy9nQ34FVwxKpldCOD9tLea2d1fz6e1n0S85krN6xBJsNtIn0ULvxAiiQ1WpPeX45czKmHiA7RL4i5/NXQ58Zs3McaOVh6txZmVM8bcvQsoDV1Jz2OzPAkHAEOBZe67jPX9PcDSFhobK6urqA+94lMyePRuAKVOmdFgfFOVU4youpvrHH2ksKMRVWOAdAe780IMEDxhA+ec55N99t3d/Y1ws5s6JJD7+GIE9elC/dSv1mzZh7twZU0JnTLExCKOxA69IUdpX73KzqbCqWYpEbmElNQ1aQakAo4Gn/9SPcQOSKK9p5I+9lfRJtBBkVu9r5fghhKiRUoYe7fNYM3N8R4kj0ObR/QDcD+DMyqjwp502R5AdNvulPneXAQ8DPwN1Dpv9Unuu49OD7bSiKEpbmkqducvLqVj4FY27dmm3/Hwad+0i/t57sGRk0OB0kj/jHkCr8mBOSMDcuTPoQW7osHS6vD0Hc2Ii5vj4/RanCOzWTZUyU45bHo9k5fZSLMFmeiWEs724mvOeXYpLTxgOCzTRu3ME44ekaCkSiRZ6xIcRYNJSdywhZganRnfkJShKR1uPVtlC+Pw7Tr9JoIs/jbSXYtGy5NpaIER/XKIlSiuKovhFejwIgwFPfT3lH33kDXwb9CA45vrribnxRjxVVRQ++KCW+pCQgDkpidCzzsKs5/kG9e5Nt5zPMSckeMub+TLFaKu7Kcrxbm9lvXdU2BJs5tr0VISAaXN+YdyARB69LI3kqBBuPac79s4R9EmMoEt0CAZDa5WuFEUBcGZlpBx4rwPzK8XieKVSLBTl+CHdbm+qQsncuTTuzGs2Ahxx0UUk/PMBZGMjuf0HgNGIObGzNtKblETEmDGEjRiBdLtx7dmDKT5epT4oJwUpJTtLapulSKzPr2BPZb13n1G2eN6aoq2Au2p7KV2iQ4gL37/Mn6KcqI5VikUTa2aOCbgZbalpgCXAG86sDJc/x/tTxSIR+DcwXH9oGXCnPdfRat05RVFOfhULv6J+0yYadu6kcedOGnbuJHjgAFJeegmA4ldfw11e7g1+g/r0IeR07Y+/MJvpuXQJxpiYVis6CKNRS5lQlBPUzpIatuytYmSveACue3MF3/9RBIDRIOgRF8bwHrH01lMkeic2X4K5aSU6RVEOy8tAKPCWfv9aYBBa0HxA/lSxmAV8oDcMcJ3+2NiD6qaiKCeMmpUrqduwgYYdegCcl4fRYsE6910Aime9Rd3adVoKREoK4aPOJXjAAO/x3T77FENEhLd0VEumuLhjch2KcjS53B627K1m7a5y1u0q5/6L7ASYDMz+0cm7P29n3UNjMRkNjD89hYvSOtMnMYJeCeFq8pyiHBvpzqwM37XOF1kzc37392B/AuRO9lzHTJ/7bzhs9tv97p6iKMed+q3bqFu3lobtO2jM20nDzjw8VVV0+3QBACXv/JfKr77CEBKCuUsXArt1JfC0Xt7jU155BWN4+H4T4JoYLZZjch2Kcqw0uDxs2l3J+vxyPSCuwFFQQb3LA0Cw2ch1w1LpHhfG5GGp/GlIMgb9A+Kl/RM7suuKcqryWDNzrM6sDCeANTPHCnj8PdifALnEYbNPAObr98cDJQfZSUVRjiFPdTX125w0bHfSsH07jdu307B9B13mzMYQGEjZ/PmUzJkDQmDqnEBAcgpBaX29ecSd7ssk4aEHMUZGtjoKrCbBKSezBpcHR0EFKdEhRIcGsHBdAdPn/UaDW/vbGhZook9iBNemp5KWZKFvUgRdY8Mw6pPnUmOOWZqloihtuwdYZs3M2YRWyaIHMM3fg/0JkKcCr6Dlckhg+cGcQFGUo8NTU0PDjh00OLfTsF27xU3/K+aEBErfe589Tz7p3deUkECA1YqnogJDXBxR111H5Pg/YU5JwdDKKLA5IeFYXoqidJjaBjcbCrSJc7aECIZ2jWZbUTXjXv6B56/uz+UDk+nZKZwbhlvpm2ihb5KFVFVJQlGOW9bMnHRnVsZyZ1bG19bMnF6AHS1A3uDMyqj1t5326iDfbs91vGTPdTjRlvVTFOUYkx4PrsJC6rduo2HrVsJGnE2A1Urlt9+Sd1vzxYRMcXFEXT0ec0IC4eeOxJyUSECqlYAuKRiCg5vtG5CcdCwvQ1GOC1X1LjbkV7BOzxlel1/OH3uq0EsMc9PZXRnaNZrucaG8MmkQQ7tq9YS7x4Vx34X2Duy5oigH4RW0yXjoAfHqQ2mkvRHkqcBLh9KooigHx9PQQIPTiTE8HHPnzjRs307enXfSsM2JrN33gdcQ+igBViuBp/Ui7m93EJCaSkBqKuYuqRjD9n2tG2C1EmC1dsCVKMrxoby2kbKaBlJjQvF4JBf8exmb91TRVNk0PjyQtCQLF/Tt7E2TSIgIAsBkNHBRmqqkoiinMn9SLBRFOUKky4UwmfDU1bH3xf/QsHUr9Vu30piXBx4PsbfdRtz0v2KMjMQUHUPo6acT0LUbAd26Eti9O8ZobUQrIDmJ2Ftv7eCrUZTjQ0l1A+t2lbOnsp6rBicDMPmtFYSYjcy7OR2DQXBWj1gu7pdI36QI+iZaiNeDYUVRTjrdrJk5bS5m58zKuLStbb7aC5D7OWz21tarFoC05zoiWtmmKIqudu1a6jdton7TZuo3a7fQEWeT+NhjiIAAyj/6CFOnTgT16Y3l4osJ6N6N4H79AK0KRJc3Zh7gDIpy6impbmDtrnLW5pWxJk9bcGNXmfYtS7DZyOUDkzAaBHeO7kmgaV85tQcv6dNRXVYU5djaCzx7uI20FyCvtec6Bh7uCRTlZOapq9NGgTdvpv6PPxDmAOKm/xWA/Ltn0LB9OyIoiMDu3Qk96yxC04cBIAwGev74Q6sLZSiKoimvaSQi2IQQgrd/cvL6sq3kle5LOeoaG8qg1CgmD9OqSfRJtHgrSTQt0qEoyimn0pmVsfRwG1EpForiB+nx0JiXR2NeHqFnngnArnvuoeLzHPDoZRXNZkKHDvUek/j0UxgjIzEnJbW6ZLIKjhVln4q6RtbtKqdXp3BiwgL5+Nc87pz/O9/dcy4p0SFYgs30T4nkuvRU0pK1ahIRQeYDN6woygnDmplzAdrqzUa0ZaGzWmzvAswBIvV9Mp1ZGV+0aMZ5JPrSXoD8/pE4gaKcqKqXL6dy0dfU5eZSv3EjnupqMJuxrVqJCAggdOhQApJTCOzZg8CePQlITUWY9/3BbkqXUBSluap6F+t3aQturMnTKkpsLaoG4IWrB3DZwCQGpERxzwW9vKvOjRuQxLgBqvqKopysrJk5RrSSwucDecAv1sycT51ZGRt8dnsAeM+ZlfF/1syc3sAXgNW3HWdWxhVHoj9tBsj2XMfjR+IEinI8c+3dS13uRupyHdTnbqQuN5cus97CHB9P7dq1lC9YQGCvXljGjSPQbiPIZgN9NDjyqqs6uPeKcvyTUiKEYE9FHU98mcvaXeVs2buvmkSiJYi+SRauGJREWnIkA1IiAS194raRPTqw54qiHGNDgT+cWRlbAayZOdnAOMA3QJZA0xw4C5B/tDqjUiyUU0bjnj3UrVtPUJ8+mDvFU/7Z5+TPmOHdbkrsTJDN7i2rFj15MjHTpqlUCEXxU12jm9KaBjpbgnF7JJf853tG9+7EXeefRkigiZ+2FNM3KYJL+iXST0+TiAsP7OhuK4pybJiEECt97r8upXzd534SsNPnfh5wRos2HgIWWTNz/gqEAqNbO5E1M0cAyc6sjJ2tbfers21tcNjsd9hzHf922Oxn2XMdPxzqCRSlo7hKSymdN4+6deupW7cO1549AHR+7FEir7ySkMGD6HRfJoE2O0G9TsMYGdnseEOg+sOtKG2pa3SzsbCSNT4VJTbvqeKMrtHMvSkdo0EwxBpF19gQQFueefn953VwrxVF6UAuKeWQdra3tjylbHF/IjDbmZXxrDUzZxjwjjUzp68zK8Pju5MzK0NaM3M+AQYfamfbG0G+AS1R+j/oK5IoyvHIXVVF3Zo11K5ZS936dYSeeSZREycCUPSflwjo2pWQM84guG8fgvr2JciurYhlTkwk+vrrO7LrinJCyVlTwPd/7GVNXjkbCytx6UvQRYcGkJZk4fzenRicGuXd/5FxfTuqq4qinHjygBSf+8nsn0IxDbgAwJmV8ZM1MycIiAX2tNLecmtmzunOrIxfDqUz7QXIDofN7gTiHDb7Gp/Hm+ogqxlIyjEnPR7c5eWYoqKQUuK86k/UbdhAU0JjQGoqwYO1D4ymqChO++WXZivMKYrSPrdHYhAghODDVXl8tiaf2Tdo1VkWri9k6cY99EuO5KYR3eiXZCEt2UJSZDBCtDb4oyiK4rdfgJ7WzJyuwC5gAnBNi312AOcBs62ZOXYgCK3ucWvOBW61ZuY4gWr0+NWZleFX/NreJL2JDps9AfgK8GvVEUU50tzl5dSuWUPtr79R+/vv1K5ZQ2CPHljnzUUIQciQIYSNOpfg/gMI7peGMaL5+jUqOFaUtkkpySutZU1eOWvyyvhtZxnrdpWz8G8jSIkOodHtob7RQ02Di5AAE1lXpBESYFTBsKIoR5wzK8Nlzcy5HS3uNAJvObMy1lszcx4BVjqzMj4F/g7MtGbm3ImWfjHFmZXRMg2jyYWH0x8hZVvt7uOw2QOA0/S7G+25jsbDOemREhoaKqurqzvs/LNnzwZgypQpHdaHk01jfj51Dgfh52m5ijv/fBtVixeDwUBgz54EDxhAyJAhWC65uIN7qignnoq6RlY5S/ltZxlr9Lzh4uoGAAKMBuyJEfRPtnDziG4kR4V0cG8VRTmZCCFqpJTHdNTKmpkzHOjpzMqYZc3MiQPCnFkZ2/w59oBVLBw2+znA22iFlwWQ4rDZr7fnOpYdRp8VBYDGwkKqvvuO2pUrqfllJY35WrpRz59+xBQVRcxNNxF9/WSC+qap0WBFOUjltY1kr9jBWT1i6Ztk4fedZdww+xeEgJ7xYZxri6d/SiT9ky3YEiIIMKmKLYqinBysmTkPAkOAXsAswAz8FzjLn+P9KfP2HDDGnuvYCOCw2U8D5nEYMwOVU5OUkvpNm6n5+WfCx5yPOSGBqmXLKPzXgxhjYggZMoToKVMIOX2IN1UiZJBa7VxRDqTe5Sa3oFJPkyhnQBdtxTmDgKyFufzjIjt9kywM6hJF9s3p9E2yEBaoqnwqinJSuxwYCKwGcGZl5Fszc8L9Pdif/yHNTcExgD3Xsclhs6v1PRW/uKuqqPxqEdU//UT18uW4i4oAMEZFYbnkYiLGjCFkyOkEdLWqvEZF8YPbI9myt4rfd2opEr/nlZFbUEmDW6tyFBsWQHJUMADhQWZ+/ef5RIYEABAaaCK9W0yH9V1RFOUYatDLvUkAa2bOQX0N7U+AvNJhs78JvKPfnwSsOtBBDps9BS01IwHwAK/rdZWjgfloSwM6gfH2XEepw2YXaGXlLgJqgCn2XMfqg7kYpeO5Skup+XkFxkgLoenpyNpaCv7xD4yxsYSmpxM6LJ3Q9HTMSdqSscbIyP3qDyuKsk9+WS0F5XXe8mljX1jGH3uqAK22cFqShRuGW+mfHEn/lEgSLUHNPmw2BceKoiinmPesmTmvAZHWzJybgKnATH8P9idA/jPwF2A6Wg7yMuAVP45zAX+35zpWO2z2cGCVw2b/GpgCfGPPdWQ5bPZMIBO4F222YU/9dgbwf+y/gopyHKpds4aqJUupWraMuvXrQUrCx4whND0dU1wc3b78ggCrGiFWlAMpqW7g951lbNpdyS3ndAfgsS8c/L6zjO/vHQXAtOFdCTAa6J9ioVtsGAaD+r1SFEVpyZmV8Yw1M+d8oAKt0MS/nFkZX/t7/AEDZHuuox4tD/m5g+mYPddRABToP1c6bHYH2jKC44CR+m5zgCVoAfI44G17rkMCyx02e6TDZu+st6McR1ylpdRv3ERouvb5pfDRx6hbt47g/v2Jvf0vhA47k+C0fQsEBHbt2lFdVZTjVr3LzYb8Cn7bWea9bS+uAUAIuGpwMjFhgdw2shCdVkwAACAASURBVDtuz75qQxOHdumoLiuKopxo1gLBaCXh1v7/9u48PqrqfPz450wWAglkIewEBiQwF5AdXAABFaEdXFqpqKiAUL/Wora21umiVfv71qm2ta1aly/i0lqhahV0cKsC7sguwh0kwAAhQCCEJED2Ob8/7k0cQjKZhIRJ4Hm/Xnkl995zz31mxotPTp57TkNOPC1PaZguw4lVKL0K6FKV9Bp+c5/pMjrbzWpbg7sHdpJdRSl1C3ALQHy8/OnwdNBaU5aVRdEHH3B05UcUb9yIio2l/6ovcLRtS7f/9ztiO3UiNjW1/s6EOAtprdEaHA7Fcn8uf/lgG2ZOYXXdcJcObRiWkcK1o3sxLCOFc3t++xDdoO7J0QxdCCFaJafHNw+4D/gQqwLiMafH92DA614YyfnNniCbLiMJeA34ieE3C02XUVfTSNbgRmv9DPAMWPMgN1Wc4kQ6GAStUTEx5L/4Igce8gKQMHgw6bfeStKEi1Bt2lj7+vcP15UQZ50jx8vQGlIT49mUXcBNC1fxxPUjuLBfOrExijaxDuaMdTIsI4VhvVLoltw22iELIcSZ5m5geMDrzgNwenwdgc+Apk+QTZfhAJIMv1kYYfs4rOT4JcNv/sfefaCqdMJ0Gd34dv3sSNbgFs1Il5dzfPVqCt9/n6MffEjX+39L+4svJmnCBFR8PEkXX0Jcl871dyTEWaSsIoi578RSiZ2HjvGzyf25/ZJMMtLaMnlgFzq0tSb/GZ/ZifGZnaIctRBCnPGygaKQ7SJOrFQIK5KFQv4F3ApUYs1ekWy6jD8bfvORes5TwLOAafjN0PrlpcAswGt/XxKyf77pMhZhPZxXIPXHp0fw2DEOPPIIRe+8S+WRI6i2bUkaN46YFKtkIt7pJN7pjG6QQrQQlUHNW1/lVCfDm3MKKauwSiU6tbdKJaaP7MmkAdYvkynt4nl4+tBohiyEEGejvcAqp8e3BKsi4UrgS6fHdxdAwOsO+2xdJCPIA+3SiJnAMqwH6tYCYRNkrJVKbgQ2mS5jg73vV1iJ8b9NlzEX2A38wD62DGuKtyysad7mRBCbaAStNSVbtlCek0OHyZNR7dpxfM0aEi+8kA7f/Q6J48bhSEiIdphCtBgvfBagvDLIvPF9cSj43VtbOFpawZAeKcy+0C6VyEihW40p1oQQQkTNdvurStWAbESLhUS0UIhdKnEV8LjhN8tNl1Fv7a/hNz+h9rpigEtqaa+xppMTzaR8/34K3niDgjeWUBYIENulC+0vuQTlcNB36VKUQ5aZFWev8sogW/cXsX53Puv3HOFgUSn/mGvN1PL59jxKKyqZN74vSilev20s3ZITiI2Re0YIIVqigNf9wKmcH0mC/DTWgh4bgY9Ml9Eba0450YrkPfc8uY88AsEg7UaPJu3mOXS47LLqpFiSY3G2OVhUyvrd+azbfYR1u/PZlF1AcXklYK1GNywjlbKKIPGxDp6YOYKYkPmGM9LaRStsIYQQp0Ek8yD/DfhbyK5dpsuY1HwhiaZQum0b+a+8Qsr3vkeCYdBu1EjSb/0fkr/3PeIzMurvQIgzSHllEP++IjK7JJEQF8MTy7N45N2tAMTFKAZ2T+baMRmM6JXK8F4p9Ehpe0KpRIwsxiGEEGeVSB7SawNcjbU0dGj7B5spJtFIuqKCouXLyf/nSxxftQri4kjo358Ew6DtuefS9txzox2iEKdFblEJ63YdwejWnt4dE1mx9SA/fHENr9x6AaOdaYztl05cjGJEr1QG90gmIS4m2iELIcRZz+nxTQX+CsQACwJet7eWNtcA92M9eLcx4HVf3xyxRFJisQQowHowr7Q5ghCnTgeD7Pze9yndto3Ybt3odNddpEy/mti0tGiHJkSzKq8MsiWnkHW781lvl0tk5xcDcM9UFz+aeA5jnGk8dt1wMjsnAVQ/VCeEEKJlcHp8McATwGSsKdpWOz2+pQGve0tIm0zgl8DYgNed7/T4Tpp71unxPUYt62hUCXjdd0QSTyQJck/Db06NpDNxepVlZ1PoW0bHW36IcjhIue5aYjt1ov2kSajY07JIohBRUVJeyaPvf8O63fl8lV1AqT3NWtcOCYzobc0sMbxXSvUqdMnt4rh8aPdohiyEECK8MUBWwOveAeD0+BZhTc22JaTND4EnAl53PkDA6849qRdY0xTBRJJFfWa6jHMNv9mgNaxF8ynZupW8/1tA4dtvg8NB+8mX0qZvX9Kub5a/MggRNVrr6lrge9/4mvYJsfxiqos2sQ5eX7+XHqltueH83tW1w91TZEU6IYRooWKVUqHJ6zP26shVenDiQh7ZWOtihOoP4PT4PsUqw7g/4HW/E9og4HW/UNvFnR5fAnB5xMFG0GYcMNt0GTuxSiwUoA2/OSTSi4imUX4gl/2//S1HV6zA0a4dabNmkTbrJuK6dIl2aEI0iYNFpazddZi1u6zZJUrKK/HdMR6wSikqgtZfzZRSfP7LS+ThOSGEaD0qtNajwhyv7R/0mqUSsUAmMBFrxeWPnR7f4IDXfaS2Du2yjcuA64ApwMfAK5EEG0mC/J1IOhLNJ1hSgiMhgZjkDpTv20enO+8g9frriUlOjnZoQjRaMKjZlnuUNbsOszaQz9rd+ezKOw5AfIyDwT06cOE5HQkGNQ6Hwnv1ib+TS3IshBBnlGwgdJqtnkBOLW2+CHjd5cBOp8e3FSthXh3ayOnxXQRcD7iBL7EWr+sT8LqPRxpMJNO87TJdxlBgvL3rY8Nvboz0AqLxynNyOPi3xzi+bh3nvPUmjoQE+rzxuqzUJVql4rJK1u/OZ5QzjfhYB39418/TK3cA1rzDI3qlMvO8XozsncbgHh1oEyszSwghxFlkNZDp9Pj6YC0TfS1WkhvqDazR4OedHl86VsnFjtAGTo8vG2ul5ieBuwNed5HT49vZkOQYIpvm7U6souj/2Lv+abqMZwy/+VhDLiQiFywuJm/Bs+QtWABakzpzJrq8HBUfL8mxaDX2FRSzJpDP0J4p9OrYjhVbc/nRS+t4/bYLGd4rlWnndqd/5/aM7J1K747t5L9tIYQ4iwW87gqnxzcfeBervnhhwOve7PT4HgTWBLzupfaxy5we3xagEisBzqvR1WtYqz/PACqdHt8SwsxqUReldfhzTJfxFXCB4TeP2duJwOctoQY5MTFRHzt2LGrXf/755wGYPXt2k/VZvncvgRtupGLfPtp/Zypd7r6buO7y9L1o2Soqg/j3F7F2Vz5rduWzNnCYnIISAH7jNpg3vi9Hjpexfs8RxjjTSGwjs6wIIcTZRCl1XGudeDqu5fT4FDAJa7T5u0AHYC6wLOB1H42kj0j+L6WwsvQqldReSC1OgS4rQ8XHE9utG4kXXkDylVeSOGZMtMMSok7FZZU8uSKLtbvz2bD7CMfKrH8munZIYKQzlR/2TmVk71SMbh0ASGkXz6QBJ01ZKYQQQjSpgNetgQ+BD50eXxzW83TXAn8H0iPpI5IE+TlglekyXre3rwKebXi4ojY6GCT/pX+R9+yzOP+9mLjOnen+v/8b7bCEqJX3bT/tE2L58aR+xMc6ePGLXXRPbsvVI3sy0k6Iay7TLIQQQkSD0+PrBGCXZyx1enwRzwUayUN6fzZdxgqs6d4UMMfwm+sbGasIUb53L3t/cQ/Fa9eSOH481FPuIsTpEAxqth4oYnXgMF/uPExhSQUv3mz9NWPP4eOktIsDrFkkVv3qEnmYTgghRIthl1f8FpgPOADl9PgqgMcCXveDkfZTZ4JsuowOht8sNF1GGhCwv6qOpRl+83DjQhcAhe+8w75774NgkG4PPUTyVVfKqJuIitKKSjZlF/Bl4DCrdx5mza58ikoqAKtc4ry+adVTrT0xc8QJ50pyLIQQooX5Cda0bqMDXvdOAKfH1xd40unx/TTgdT8aSSfhRpD/BUwD1nLi03/K3u7bmKiFpej9/xLfpw89/vRH4jMy6j9BiCZSVFJOu/hYYhyKBR/v4OF3t1JmL9Xcr3MS04Z0Z7QzldHONHqmSrmEEEKIVuUmYHLA6z5UtSPgde9wenw3AO8Bp5YgG35zmv29zykGKmwVBw8SLC0lvmdPuj34gDVtW1xctMMSZ7jcwhLiYx2ktItnuT+XuS+sZun8cQzukYzRrQOzLujNKGcao51ppCXGRztcIYQQ4lTEhSbHVQJe90H7gb2IhCuxGFHXMQDDb66L9CICijdvJvvH84nt1AnnvxfjSDwtM52Is4zWmp2HjrEmkG+VTAQOsyvvOPdfPpDZY/swqHsHbr84s7qOeGy/dMb2i+iBXiGEEKI1KGvksROEK7H4U5hjGrg40ouc7Y598QXZt/0YR3KyNXIsf7IWTSQY1GzZV8iXO61keHUgn0NHSwFIbRfHKGcaN5zXm/H9OwHQuUMCP53cP5ohCyGEEM1pqNPjK+TbkuAqCkiItJNwJRaTGh+bqFL03/+y96d3Ee90kvHsAuI6yzyw4tRs3HOEo6UVjO2XTlBrrnn6c46XVdIjpS3jM9MZ7UxjTJ9U+qYn4XDIL2NCCCHOHgGvu0meHg9XYvH9cCcafvM/4Y4L0BUVHPr7kyQMHEjG008Rk5IS7ZBEK1NaUclX2QXsOHiUGaN7AdZcxAXF5Sy7czyxMQ7+76ZR9ElPpHtKxNM7CiGEEGc0p8d3acDr/m+NfbMCXvcLkZwfrsTi8jDHNCAJcj1UbCy9nluIio2VmmMRkZLySjbsOcKqHYdZtTOPdbvzKSkPEutQXD60O+3iY/ndVYNIafftw3RSQyyEEEKc5D6nx3c18HMgCVgAlAKnliAbfnNOk4R3Fjq+bh35//wn3R56iJjk5GiHI1q4bQeKeHNjDl/sPMyGPUcoqwiiFBhdO3D9mN6c1zeNMc402sVbt2u/zu2jHLEQQgjR4k0AfgZssLfvC3jdL0d6crgSixsMv/lP02XcVdtxw2/+uUFhniXKc3LInn87Me3bEzx+HEebNtEOSbQw+wtK+McXAX4wMgNneiKb9hbw+PIsBvdIZtYFvTmvT0dGO9NIbidTAAohhBCNlAqcB2wHegK9nR6fCnjdES1bHK7EoqomQIarIhQsLmbP/PnosjJ6Pvkksamp0Q5JRFlRSTlrAvl8sTOPUb3TmDywC+WVQZ5auQOjWwec6YlMHdyVSwd2oUOCJMRCCCHOXk6PbyrwVyAGWBDwur11tJsOvIK1Wt6aOrr7AvAGvO6FTo+vLfAH4FPgwkhiCVdi8bT9/YFIOhJw4PcPUWr6yXjqSdr0lfVVzkbFZZWs2XWYz7bn8dn2PL7eW0BlUBMXo2gbF8PkgV3omdqWTfdfVl0yUfVdCCGEOFs5Pb4Y4AlgMpANrHZ6fEsDXveWGu3aA3cAq+rp8tKA170bIOB1FwN3OD2+iyKNJ1yJxd/CnWj4zTsivcjZoCIvj6L336fjvLkkTZgQ7XDEafbE8ixWbj3I+j35lFdqYh2KoRkp3DbxHM7v25ERvVJpG2/NPKOUkqRYCCGEONEYICvgde8AcHp8i4ArgS012v0OeBjr4bs6VSXHNfZ9FGkw4f4vfSvwNfBvIAdrgmVRh9iOHemzdAmxMpXbWeH19dls3FPA/VcMAuCTbYcoqajk5rF9uOAcq4Y4sY0kwUIIIUSEegB7QrazsWqIqzk9vuFARsDrfsvp8YVNkE9VuP+DdwN+AMwAKoDFwGuG38xvzoBao+OrV9N2xAhZBOQMVLVS3efb81i1M4/Hrx9BQlwM23OPsTpwmIrKILExDv4xdwyxMY5ohyuEEEK0VLFKqdB64We01s+EbNc2EFv9QJ3T43MAjwKzmye8E4WrQc4DngKeMl1GD+A6YLPpMu4x/OY/TkdwrUHivn3s+sPDdP75z+g4d260wxGnSGvNttyjfL49j8+2H+KLHYcpKC4HoG+nRPYeKeacTkncNbk/P58yoPo8SY6FEEKIsCq01qPCHM8GMkK2e2JVMFRpDwwGVjg9PoCuwFKnx3dFXQ/q2XXNXQjJd2srvahNvX8DNl3GCKzkeDLwNrA2ko5Nl7EQmAbkGn5zsL0vDWsk2gkEgGsMv5lvugyF9dTid4HjwGzDb66L5DrR1mv5CmI6diRlxoxohyJOQVbuUf76wTY+357HoaOlAGSktWXKoC5ceE46F5zTkS4dvl3CXZZwFkIIIZrUaiDT6fH1AfYC1wLXVx0MeN0FQPXKWE6PbwXw8zDJ8e3Ab4EDQNDerYEhkQQT7iG9B7ASXBNYBPzS8JsVkXRqex54HHgxZJ8H+MDwm17TZXjs7XuA7wCZ9td5wJPUqDtpidrv3k2H3btJ/9UviUlKinY4ogGOl1Xw0DI/Y/ulM3VwV+JiFF/syGN8ZjoX9O3IBed0JCOtXbTDFEIIIc4KAa+7wunxzQfexZrmbWHA697s9PgeBNYEvO6lDezyTmBAwOvOa0w8Suva50s2XUYQ2AEU27uqGipAG36z3gzcdBlO4K2QEeStwETDb+4zXUY3YIXhNweYLuNp++eXa7YL139iYqI+duxYfWE0my+mTKXtoUOc++knOBIS6j9BREVpRSXrdx/hk22HaNcmhtsm9kNrzcV/WsmM0RncOuEcwCqvUEpGhoUQQoimppQ6rrVOrL9l03B6fMuByQGvuyGDu9XClVg0x0S+XaqSXjtJrnqqrbYnF3sAYRPkaKo8epT4oiL2jx7NUEmOWxStNf79RXyadYiPtx3iy52HKS6vJMahmDqoK2BNtfbhzyackBBLciyEEEKcMXZg1Sv7gNKqnQGvO6KVoMMlyLsNvxl2OT7TZaj62kQo7JOLJzRU6hbgFoD4+PgmuHTjxCQl8dUP56GCwfobi9NiuT+XNzbs5dOsb+uIz+mUyDWjejIusxPn9U07YbU6SYiFEEKIM9Zu+yve/mqQcAnyctNlvAYsMfxm9RN/psuIB8YBs4DlWLXGkTpguoxuISUWufb++p5crGZPCfIMWCUWDbh2k9Hl5WitQSl0TEw0QhCAf38hi1fv4Z6pLhLiYlgdOMynWYcY2y+dcf3SGdsvne4pbaMdphBCCCFOs4DXfUorQYdLkKcCNwMvmy6jD3AESMAqnH4PeNTwmxsaeL2lWIm11/6+JGT/fNNlLMJ6OK+gvvrjaDr68cfk/OIe2l5zDcWdO0U7nLOC1pqtB4r46JuDTBzQmf5d2pNzpJiXv9zN1SN6MrhHMndcksndUwbIyLAQQghxlnJ6fH8JeN0/cXp8b1JLNULA674ikn7CzYNcAvwd+LvpMuKwptYoNvzmkUg6Nl3Gy8BEIN10GdlYU214gX+bLmMu1rD3D+zmy7CmeMvCmuZtTiTXiJai994Hh4OSjmnRDuWMduR4GZ9kHeKjbw6y8puDHCi0yibiYxz079Ke8Zmd2HDfZSTEWaP4Vd+FEEIIcdaqWqvjj6fSSZ2zWLQG0ZjFQldU8M3YcbSfOIH3DAOA2bNnn9YYzlTBoGZj9hFWfnOQj745yIY9Rwhq6JAQy/jMTkzo34nx/dPplixlE0IIIURrcrpnsThV9S4UIk5UYvoJFhSQOP4iOHQw2uG0egcKS8jOP87I3tZo/A9fXEPesTKG9kzh9oszuah/J4b2TJaV6oQQQghx2kiC3EDHV68GoN3o0fD2sihH0/pUVAbZsq+QIT1TALj3ja/ZnFPIJ/dMwuFQPHPTKPp0TCQ1MXozlAghhBDi7BbJUtPzgZcMv5l/GuJp8RLPP4/Od99NXJfO9TcWABw+VsbKb3L50G+VThQUl/P5Ly+mW3Jb7rw0E0fIQ3UjeqVGMVIhhBBCnEmcHl9iwOtucD1uJCPIXYHVpstYBywE3m2iuY9bpYSBA0kYODDaYbRoWmvMfUUs35rLh/5c1u/OJ6ghPSmeS40uXOzqTHJbaz7iQd2ToxytEEIIIc40To/vQmABkAT0cnp8Q4H/CXjdt0Vyfr0JsuE3f2O6jHuBy7Bml3jcdBn/Bp41/Ob2xofe+gSPHaP4q69IOPdcYpKSoh1Oi7Q5p4B5L6xhX0EJAOf2SGb+xZlc7OrMkB7JOBwyBZsQQgghmt2jwBSsqYQJeN0bnR7fRZGeHNGTT/aI8X77qwJIBV41XcbDDQ63FSv+ejO759xM8YaN0Q6lxSivDDL7uS955iPrd6XeHRMZ3iuFh68ewpe/uoQ3bx/HXZP7MywjRZJjIYQQQpw2Aa97T41dlZGeG0kN8h1Yi3ocwhqqvtvwm+Wmy3AA24BfNCDWVq00axsAbTIzoxxJdGit2ZxTyHtbDnC0pIL7Lh9IXIyDpDaxtIm15iBOahPL32eOjHKkQgghhDjL7bHLLLTT44sH7gDMSE+OpAY5Hfi+4Td3he40/GbQdBnTGhRqK1eek4OKjye2U3q0QzltyiuDrNpxmPe37Of9LQfIKSjBoeDCc9LRWqOU4vHrR0Q7TCGEEEKIULcCfwV6ANlYq0D/ONKT60yQTZdRtUzcX2psA2D4zcOG34w4Ez8TVOzbT2zXrijHmT0nb1FJOSu2HuT9LQdYvjWXopIKEuIcjM/sxE8m9+cSV2c6JrWJdphCCCGEOIM4Pb6pWEltDLAg4HV7axy/C5iHVe57ELg54HXvOqkjIOB1HwJmNjaWcCPIa/l2DeuaxaMa6NvYi7ZW5fv2EdetW7TDaBb7C0pIbBND+4Q4Xl+/l/uWbKZjYjzfGdyVyQO7Mq5fOm3jZSlnIYQQQjQ9p8cXAzwBTMYa8V3t9PiWBrzuLSHN1gOjAl73cafH9yPgYWBGHf29ANwZ8LqP2NupwJ8CXvfNkcRTZ4Js+M0+kXRwNul672/QFRXRDqPJVFQGiY1xkJVbxKV//oiHrx7CNaMzcJ/bjYHdOjC8Vyox8mCdEEIIIZrfGCAr4HXvAHB6fIuAK4HqBDngdS8Paf8FcEOY/oZUJcf2uflOj294pMFEtJKe6TK+D4zDGjn+2PCbb0R6gTPJmTD/ceDQMZZ9vY93vt7PoO4deOj7QzinUxL3ThvIBed0BKBjUhspoRBCCCFEU4pVSq0J2X5Ga/1MyHYPIHTWiWzgvDD9zQXeDnPc4fT4UgNedz6A0+NLowErSEcyi8XfgX7Ay/auW02XMdnwmxEXOp8JdHk5hW+/TdshQ4h3OqMdToNk5RaxbNN+3v56P+a+QgCGZqQwuIe1SIdSirnj5A8GQgghhGg2FVrrUWGO1/Yn61oXpnN6fDcAo4AJYfr7E/CZ0+N71d7+AfC/kQQKkWXSE4DBVavnmS7jBWBTpBc4U1QWFpLzi3vocu9vSGsFCXJW7lGWbszh7U372JZ7FIBRvVO5d9pApg7uSo+UtlGOUAghhBCiWjaQEbLdE8ip2cjp8V0K/BqYEPC6S+vqLOB1v+j0+NYAF2Ml39+vUc8cViQJ8lagF1D1lGAG8FWkFzhTBIuKAIhp3z7KkdRtz+HjdE1OIC7Gwevrs3lyxXbG9EnjhvMHMWVQV7omJ0Q7RCGEEEKI2qwGMp0eXx9gL3AtcH1oA7uG+GlgasDrzq2tE6fH1yHgdRfaJRX7gX+FHEsLeN2HIwkmkgS5I2CaLuNLe3s08LnpMpYCGH7zikgu1NpV2gmyo4UlyFVzEa/akceMZ77gudmjmeTqzJyxfZh9YR86tZdaYiGEEEK0bAGvu8Lp8c0H3sWa5m1hwOve7PT4HgTWBLzupcAjQBLwitPjA9gd8Lpr5qH/AqZx4mxsYI0iRzwLWyQJ8n2RdHSmCx61yhQciYlRjgQKjpfz9tf7WLoxh9HONH46uT/De6Xy6+8aDOzeAYB0echOCCGEEK1IwOteBiyrse++kJ8vjaCPaU6PT2GVYOxubCz1JsiG31xpuoyuWNNvaGC14Tf3N/aCrZWuDAKgYuOicv2yiiDLt+by2tpslm/NpbxS0yc9kfSkeADiYx388KKzbmpqIYQQQogTBLxu7fT4XgdGNraPSGaxmIc1ivwh1vD0Y6bLeNDwmwsbe9HWqO2woThffZU2fZyn7ZpaazbnFPLq2myWbszh8LEy0pPacNMFTq4a1oPBPTqglMxTLIQQQghRwxdOj290wOte3ZiTIymxuBsYbvjNPADTZXQEPgPOqgQ5JimJtoMHndZrPvLuVv6+YjvxMQ4mD+zC1SN7cFFmJ2JjzuylroUQQgghTtEk4FanxxcAjmHXIAe87iGRnBxJgpwNFIVsF3HiRM5nhbLsvRz75BPaT7mM2NTUZrnGrrxjPPDmFn52WX8GdU9m6uCudE9py+VDupPcLjqlHUIIIYQQrdB3TuXkSBLkvcAq02UswapBvhL40nQZdwEYfvPPpxJAa1HqN9l///20HXJukybIOUeKOXysjME9kkluG0dW7lH2F5QwqHsyQ3qmMKRnSpNdSwghhBDiTOb0+BKAW7EWudsEPBvwuisa2k8kCfJ2+6vKEvt7y5rvrJnpoPWQHjExp9xXRWWQFVsP8vKXu1m+NZehGSm8fttYUtrFs/LuiVJXLIQQQgjROC8A5cDHWKPIA4E7G9pJJLNYPNDg0M5EQXsqvVNIXo8cL2PR6j28+FmAnIISOrVvw48mnsO1o3tVt5HkWAghhBCi0QYGvO5zAZwe37PAl/W0r1Uks1gsp5a1sA2/eXFjLthqBSsBUI6GPyCXlXuU5z/byWtr91JcXskFfTty3+UDucToQpw8cCeEEEII0VTKq36wFx9pVCeRlFj8POTnBOBqoMG1HK2drhpBdjSsxGLlNweZtfBL4mMcXDmsO3PG9qlezEMIIYQQQjSpoU6Pr9D+WQFt7e2qWSwiSsIiKbFYW2PXp6bLWNmgUM8ASRMn0PftZcT36BG2ndaaD/25lFcGmTq4G+f1SeMXUwdwzagMWd1OCCGEEKIZBbzuU39YDKj37/umy0gL+Uo3XcYUoGtTXLw1iUlKok2fPqj4+LDtlFI8vXIHCz8JAJAQF8NtE/tVJ8dJSUn1CVRdxwAAEtlJREFUXmvevHls2bIFgN///vcnHLvwwgvrPb+2a0ycOJF33333hH1/+ctfuO222xrcV1PKy8tj0qRJJCUlMX/+/AadW1payowZM+jXrx/nnXcegUCg1nbvvPMOAwYMoF+/fni93ur9c+fOZejQoQwZMoTp06dz1F5OXAghhBBnt0gKYNcCa+zvnwM/A+Y2Z1AtUcnWb8hb+ByVtSRRn2Yd4pqnPye3sASAx64fzks/PK/R11qwYAEDBw4ETk6QP/vss0b1ed1117Fo0aIT9i1atIjrrruucUE2kYSEBH73u9/xxz/+scHnPvvss6SmppKVlcVPf/pT7rnnnpPaVFZW8uMf/5i3336bLVu28PLLL1f/8vHoo4+yceNGvvrqK3r16sXjjz9+yq9HCCGEEK1fvQmy4Tf7GH6zr/090/Cblxl+85PTEVxLUrLpK3Iffphg0bdrpuSWxvCPPcnMXLCKvfnF7MkvBqBLh4R6H75bsWIFEydOZPr06bhcLmbOnInWVp3zxIkTWbNmDR6Ph+LiYoYNG8bMmTOBb0d0jx49yiWXXMKIESM499xzWbJkSZ3XApg+fTpvvfUWpaWlAAQCAXJychg3blxEfa1YsYJp06ZVb8+fP5/nn38egLVr1zJhwgRGjhzJlClT2Ldv30nnz549m1tvvZXx48fTv39/3nrrLQASExMZN24cCQkJYeOvzZIlS5g1a1b16/vggw+q38MqX375Jf369aNv377Ex8dz7bXXVr++Dh2sMiStNcXFxTKDiBBCCCGAMDXIpssYDewx/OZ+e/smrAf0dgH3G37z8OkJsWXQlfY8yA4HJeWVPPbhNp7amUq8Q/Pr7xrceEFvEuIaVvayfv16Nm/eTPfu3Rk7diyffvop48aNqz7u9Xp5/PHH2bBhw0nnJiQk8Prrr9OhQwcOHTrE+eefzxVXXFFnktexY0fGjBnDO++8w5VXXsmiRYuYMWMGSqkG9xWqvLyc22+/nSVLltCpUycWL17Mr3/9axYuPHkl8kAgwMqVK9m+fTuTJk0iKysrbGI8Y8YMtm7detL+u+66i5tuuom9e/eSkZEBQGxsLMnJyeTl5ZGenl7dNrQNQM+ePVm1alX19pw5c1i2bBkDBw7kT3/6U72vVwghhBBnvnAP6T0NXApguoyLAC9wOzAMeAaY3tTBmC5jKvBXIAZYYPhNbz2nnD7aSpC35pVwxz8/ZsfBYwztUMplnY/yw4v6NqrLMWPG0LNnTwCGDRtGIBA4IUEOG47W/OpXv+Kjjz7C4XCwd+9eDhw4QNeudZeHV5VZVCXIVUlsY/qqsnXrVr7++msmT54MWCUN3bp1q7XtNddcg8PhIDMzk759++L3+xk2bFidfS9evDjstWuOFsPJ80jX1+a5556jsrKS22+/ncWLFzNnzpyw1xRCCCFE83B6fCfkgQGv21vjeBvgRWAkkAfMCHjdgeaIJVwdQEzIKPEM4BnDb75m+M17sZbva1Kmy4gBnuDbVU+uM13GwKa+TmPpyko+6zaIq/+1maMlFfxz7nl8r3sRibEnJ2CRatPm21ktYmJiqKiIfPa8l156iYMHD7J27Vo2bNhAly5dKCkpCXvOVVddxQcffMC6desoLi5mxIgREfcVGxtLsGo1Qag+rrVm0KBBbNiwgQ0bNrBp0ybee++9Wq9fM3mtb4R6xowZDBs27KSvF198EbBGg/fs2QNARUUFBQUFpKWlndBHaBuA7OxsunfvfkKbmJgYZsyYwWuvvRY2HiGEEEI0D6fHd1Ie6PT4auaBc4H8gNfdD3gU+ENzxRM2QTZdRtUI8yXAhyHHIpk/uaHGAFmG39xh+M0yYBFwZTNcp1EOlMJDo27E1SmRZXeOZ1xmev0nNYG4uDjKy8tP2l9QUEDnzp2Ji4tj+fLl7Nq1q96+kpKSmDhxIjfffPMJD+dF0lfv3r3ZsmULpaWlFBQU8MEHHwAwYMAADh48yOeffw5YJRebN2+u9fqvvPIKwWCQ7du3s2PHDgYMGBA23sWLF1cn3qFfN910EwBXXHEFL7zwAgCvvvoqF1988UlJ9+jRo9m2bRs7d+6krKyMRYsWccUVV6C1JisrC7CS/DfffBOXy1XveyiEEEKIZjEGyAp43TsCXnddeeCVWEtJA7wKXOL0+JrlAaJwie7LwErTZRwCirHWtMZ0Gf2AgmaIpQewJ2Q7GzhpKgil1C3ALQDx9Uy51pQGXPs9/vXNfgZk9iA50Rr5nT17drNf95ZbbmHIkCGMGDGCl156qXr/zJkzufzyyxk1ahTDhg2LOLm77rrr+P73v3/CjBaR9JWRkcE111zDkCFDyMzMZPjw4YD1Gbz66qvccccdFBQUUFFRwU9+8hMGDRp0Uh8DBgxgwoQJHDhwgKeeeqq6/tjpdFJYWEhZWRlvvPEG7733XvUsHuHMnTuXG2+8kX79+pGWllb9mnJycpg3bx7Lli0jNjaWxx9/nClTplBZWcnNN9/MoEGDCAaDzJo1i8LCQrTWDB06lCeffDKi91AIIYQQDRarlFoTsv2M1vqZkO1I8sDqNvYqeQVAR+BQUweraqvRrGK6jPOBbsB7ht88Zu/rDyQZfnNdUwZiuowfAFMMvznP3r4RGGP4zdvrOicxMVEfO3asKcMQzWT27NlMmzaN6dObvHRdCCGEEC2cUuq41jqxruNOj+8HwJSA1z3P3r4RGBPwum8PabPZbpNtb2+32+Q1dbxhSyUMv/lFLfu+aeogbNlARsh2TyCnma4lhBBCCCFajkjywKo22U6PLxZIBpplVrXmqCVurNVApuky+gB7gWuB66MbkmgqVXMmCyGEEELUYjWQ6fT4wuWBS4FZWAvXTQc+DHjdjZ8tIYxIVtI7LQy/WQHMB94FTODfht+s/WkvIYQQQghxxgh43SflgQGve7PT43vQ6fFdYTd7Fujo9PiygLsAT3PFE7YGuaWTGmQhhBBCiJavvhrklqbFjCALIYQQQgjRErTqEWSlVBBrCrrTJRaIfDUP0RLJZ9j6yWfY+sln2PrJZ9j6ne7PsK3WutUMzLbqBPl0U0qt0VqPinYcovHkM2z95DNs/eQzbP3kM2z95DMMr9Vk8kIIIYQQQpwOkiALIYQQQggRQhLkhnmm/iaihZPPsPWTz7D1k8+w9ZPPsPWTzzAMqUEWQgghhBAihIwgCyGEEEIIEUISZCGEEEIIIUJIghwhpdRUpdRWpVSWUqrZljYUTUcplaGUWq6UMpVSm5VSd9r705RS7yulttnfU6Mdq6ibUipGKbVeKfWWvd1HKbXK/vwWK6Xiox2jCE8plaKUelUp5bfvxwvkPmxdlFI/tf8d/Vop9bJSKkHuxZZNKbVQKZWrlPo6ZF+t952y/M3Ocb5SSo2IXuQtgyTIEVBKxQBPAN8BBgLXKaUGRjcqEYEK4GdaawM4H/ix/bl5gA+01pnABzTjWu6iSdwJmCHbfwAetT+/fGBuVKISDfFX4B2ttQsYivV5yn3YSiilegB3AKO01oOBGOBa5F5s6Z4HptbYV9d99x0g0/66BXjyNMXYYkmCHJkxQJbWeofWugxYBFwZ5ZhEPbTW+7TW6+yfi7D+p9wD67N7wW72AnBVdCIU9VFK9QTcwAJ7WwEXA6/aTeTza+GUUh2Ai4BnAbTWZVrrI8h92NrEAm2VUrFAO2Afci+2aFrrj4DDNXbXdd9dCbyoLV8AKUqpbqcn0pZJEuTI9AD2hGxn2/tEK6GUcgLDgVVAF631PrCSaKBz9CIT9fgL8AsgaG93BI5orauWR5V7seXrCxwEnrNLZRYopRKR+7DV0FrvBf4I7MZKjAuAtci92BrVdd9JnlODJMiRUbXsk/nxWgmlVBLwGvATrXVhtOMRkVFKTQNytdZrQ3fX0lTuxZYtFhgBPKm1Hg4cQ8opWhW7TvVKoA/QHUjE+pN8TXIvtl7yb2sNkiBHJhvICNnuCeREKRbRAEqpOKzk+CWt9X/s3Qeq/nRkf8+NVnwirLHAFUqpAFZZ08VYI8op9p95Qe7F1iAbyNZar7K3X8VKmOU+bD0uBXZqrQ9qrcuB/wAXIvdia1TXfSd5Tg2SIEdmNZBpP7Ebj/VwwtIoxyTqYderPguYWus/hxxaCsyyf54FLDndsYn6aa1/qbXuqbV2Yt1zH2qtZwLLgel2M/n8Wjit9X5gj1JqgL3rEmALch+2JruB85VS7ex/V6s+Q7kXW5+67rulwE32bBbnAwVVpRhnK1lJL0JKqe9ijV7FAAu11v8b5ZBEPZRS44CPgU18W8P6K6w65H8DvbD+4f+B1rrmgwyiBVFKTQR+rrWeppTqizWinAasB27QWpdGMz4RnlJqGNaDlvHADmAO1gCN3IethFLqAWAG1uxA64F5WDWqci+2UEqpl4GJQDpwAPgt8Aa13Hf2Lz6PY816cRyYo7VeE424WwpJkIUQQgghhAghJRZCCCGEEEKEkARZCCGEEEKIEJIgCyGEEEIIEUISZCGEEEIIIUJIgiyEEEIIIUQISZCFEC2SUqpSKbVBKfW1UupNpVRKtGMKRyl1lVLqPvvn+5VSWinVL+T4T+19o+ztZVWvSSl11P7uVEp9bf88Sin1tyi8Dpf9vq9XSp0T4TlVn9VmpdRGpdRdSilHjTZ/VUrtDd2vlJqtlHrc/nm+UmpO074aIYRoHEmQhRAtVbHWepjWejBwGPhxc10oZDWwU/EL4O8h25uwFjipMh1rcQUAtNbf1VofqaszrfUarfUdTRBXQ10FLNFaD9dab4/wnKrPahAwGfgu1pyrANhJ8feAPcBFdfSxEIjG6xVCiJNIgiyEaA0+x1qUAACl1N1KqdVKqa/sBQxQSiUqpXz2CObXSqkZ9v6RSqmVSqm1Sql3Q5ZZXaGU+r1SaiXwa6VUoGp0014xbI9SKk4pdY5S6h37/I+VUq6awSml+gOlWutDIbvfAK60j/cFCoCDIecElFLpdb1gpdREpdRb9s9pSqk37Nf7hVJqiL3/fqXUQvu17FBK3RHuvajR/zC7r6+UUq8rpVLtBZF+AsxTSi2v0b63UmqbUipdKeWw34vLavartc4FbgHm24sPAEwCvgaeBK6r7fVqrY8DAaXUmLreEyGEOF0kQRZCtGhKqRispW2X2tuXAZnAGGAYMFIpdRHWClA5Wuuh9qjzO0qpOOAxYLrWeiTWKGXoKpgpWusJWusHgI3ABHv/5cC7Wuty4Bngdvv8n3PiKHGVscC6GvsKsZZYHoyVFC4+hbfhAWC91noI1mqQL4YccwFTsN6P39qv+aT3opY+XwTusfvcBPxWa70MeAp4VGs9KbSx1noX8Af7+M+ALVrr92oLVmu9A+v/L53tXdcBLwOvA9PsGGuzBhhf99sghBCnhyTIQoiWqq1SagOQh7WU7fv2/svsr/VYSakLK2HeBFyqlPqDUmq81roAGAAMBt63+/oN0DPkGotr/Fw10notsFgplQRcCLxin/800K2WWLsRMjocYpHd11VYyWFjjQP+AaC1/hDoqJRKto/5tNZVo9e5QBdqfy+q2eemaK1X2rteoO7Sh2pa6wVAe+BWrF8WwlH2teKxSi7e0FoXYi31ftLIsy0X6F5fHEII0dyaou5OCCGaQ7HWepidzL2FVYP8N6zE6yGt9dM1T1BKjcRKxh5SSr2HlZRu1lpfUMc1joX8vNQ+Lw0YCXwIJAJHtNbD6osVSK5l/5vAI8AarXXhtxUHDVbbidr+XhqyrxKI1Vp/U/O90Fo/2NiLVwehVDu+/QUjCSiqo11fO5ZcrNH4ZGCT/frbAccBXy2nJmC9l0IIEVUygiyEaNHs0c87gJ/bf5p/F7jZHt1FKdVDKdVZKdUdOK61/ifwR2AEsBXopJS6wG4bp5QaVMd1jgJfAn8F3tJaV9ojnjuVUj+wz1dKqaG1nG4C/Wru1FoXA/dwYllHY3wEzLRjmAgcsmOrVR3vRWhcBUC+UqqqnOFGYCX1+wPwEnAf8H91XLsTVhnG41prjVVeMU9r7dRaO4E+wGV2sl1Tf6xaZSGEiCoZQRZCtHha6/VKqY3AtVrrfyilDOBze0TyKHADVoL6iFIqCJQDP9JalymlpgN/s0eiY4G/AJvruNRi4BVgYsi+mcCTSqnfAHFYZRMba5z3EfAnpZSyk8LQ2Bc19nWHuB94Tin1Fdbo66x62p9LjfeiljazgKfsRHUHEHaKNaXUBGA0MFZrXamUulopNUdr/RzflsPEARVY5SB/tvueAvxPVT9a62NKqU+wRpZrGotVby2EEFGlavxbLoQQohGUUn8F3tRa/zfasbRGSqnhwF1a6xujHYsQQkiJhRBCNI3fY9XXisZJB+6NdhBCCAEygiyEEEIIIcQJZARZCCGEEEKIEJIgCyGEEEIIEUISZCGEEEIIIUJIgiyEEEIIIUQISZCFEEIIIYQI8f8B6UIY1lDo818AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a25be2b70>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a25f11d30>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a26136c18>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "Kappa_List = [2,4,6,8]\n",
-    "for kappa in Kappa_List:\n",
-    "    \n",
-    "    V0 = invariant(R0,S0,kappa)\n",
-    "    \n",
-    "    reserve = np.arange(0,100,.01)\n",
-    "    supp = np.array([supply(r,kappa, V0) for r in reserve])\n",
-    "    price = np.array([spot_price(r,kappa, V0) for r in reserve])\n",
-    "\n",
-    "    fig, ax1 = plt.subplots(figsize=(10,3))\n",
-    "\n",
-    "    color = 'tab:red'\n",
-    "    ax1.set_xlabel('Reserve (Millions of xDAI)')\n",
-    "    ax1.set_ylabel('Supply (Millions of Tokens)', color=color)\n",
-    "    ax1.plot(reserve, supp,'--', color=color)\n",
-    "    ax1.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "    ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
-    "\n",
-    "    color = 'tab:blue'\n",
-    "    ax2.set_ylabel('Price in xDAI per Token', color=color)  # we already handled the x-label with ax1\n",
-    "    ax2.plot(reserve, price,'-.', color=color)\n",
-    "    ax2.tick_params(axis='y', labelcolor=color)\n",
-    "\n",
-    "    ax1.vlines(R0,0,supp[-1], alpha=.5)\n",
-    "    ax1.text(R0+.02*reserve[-1], supp[-1], \"Initial Value R=\"+str(int(100*R0)/100)+\" mil xDAI\")\n",
-    "    ax1.text(R0+.02*reserve[-1], .95*supp[-1], \"Initial Value S=\"+str(int(100*S0)/100)+\" mil Tokens\")\n",
-    "    #ax1.hlines(S0,0,R0)\n",
-    "\n",
-    "    ax2.text(R0+.02*reserve[-1], price[3], \"Initial Value p1=\"+str(int(1000*spot_price(R0,kappa,V0))/1000))\n",
-    "\n",
-    "\n",
-    "    plt.title('Augmented Bonding Curve with Invariant S^'+str(kappa)+'/R')\n",
-    "    fig.tight_layout()  # otherwise the right y-label is slightly clipped\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Power function independent variables for analysis\n",
-    "vec_d0 = np.arange(2.5,5.1,.1) #millon dai\n",
-    "vec_theta = np.arange(.1,.55,.05) #unitless\n",
-    "mat_R0 = np.outer(vec_d0.T, (1-vec_theta)) #million dai\n",
-    "vec_p0 = np.arange(.01,.11,.01) #dai per token\n",
-    "mat_S0 = np.outer(vec_d0.T, vec_p0) #milion tokens\n",
-    "vec_kappa = np.arange(4,1,-1) #integer\n",
-    "\n",
-    "mat_return_ratio = np.outer(vec_kappa.T, (1-vec_theta))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[3.6 , 3.4 , 3.2 , 3.  , 2.8 , 2.6 , 2.4 , 2.2 , 2.  ],\n",
-       "       [2.7 , 2.55, 2.4 , 2.25, 2.1 , 1.95, 1.8 , 1.65, 1.5 ],\n",
-       "       [1.8 , 1.7 , 1.6 , 1.5 , 1.4 , 1.3 , 1.2 , 1.1 , 1.  ]])"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mat_return_ratio"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,1,'Hatch Return Rate: Rho')"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a251a94e0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "p0_lab = [str(int(100*p)/100) for p in vec_p0] \n",
-    "th_lab = [str(int(100*th)/100) for th in vec_theta]\n",
-    "k_lab = [str(k) for k in vec_kappa] \n",
-    "fig, ax = plt.subplots(figsize=(10,2))    \n",
-    "sns.heatmap(mat_return_ratio,xticklabels=th_lab, yticklabels=k_lab, annot=True, annot_kws={\"size\": 20},ax=ax)\n",
-    "plt.yticks(rotation=0)\n",
-    "plt.ylabel('Invariant Power: Kappa')\n",
-    "plt.xlabel('Funding Pool Fraction: Theta')\n",
-    "plt.title('Hatch Return Rate: Rho')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,1,'Funding Pool Funds at Launch (Millions of xDAI)')"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a224c9be0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "d_lab = [str(int(100*d)/100) for d in vec_d0] \n",
-    "sns.heatmap(vec_d0-mat_R0.T,yticklabels=th_lab, xticklabels=d_lab)#, annot=True)\n",
-    "plt.yticks(rotation=0)\n",
-    "\n",
-    "plt.xlabel('Initial Fundraise: d0 (Millions of xDAI)')\n",
-    "plt.ylabel('Funding Pool Fraction: Theta')\n",
-    "plt.title('Funding Pool Funds at Launch (Millions of xDAI)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,15,'Intial Raise d0 (Millions of xDAI)')"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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7jnrJQgihmw0MdLoETZVU7iskbQn8BLhQ0r20cGM0hBB60nhvlrH9urx6oqQFwBbAz0a1VCGE0O26vHIftiukpO8Ordu+JE/WeuqoliqEELpdDzzE9IzqRh4zZq/RKU4IIYwPHuxM//VSDa/cJR0vaSWwu6QHJK3M23cA541ZCUMIoRuN11EhbX8W+Kykz9o+fgzLNCL3e21R3NoWxih7RBOL4lar7EHf6S6LW616IzfUt2pCYd4DZXGrBssfWn7okbLRK6atLXtMe8qaScV59z9UlmZ/f9nvRd8DZelNnlbeQ2KzaQ8VxU3cfHVR3ITpDxbnrWl9ZWnOmFIU56llcQAqjNX06YV5TyvOm9LYPQ4uT7ORLu8tU/KX/FFJb5H0cQBJO0jaZ5TLFUIIrWnlQ6AduvzKvaRyPwV4HuuHDngw7wshhE1Xl1fuJd+r97X9HElXAti+V9LkUS5XCCF0tw4NCFaqpHJfm3vIGEDStkB3d/AMIYTR1uX93Esq96+QBvd6vKTPAIcCHxvVUoUQQrfr8q6QJU+ofl/S5cBLSBNwvNb2daNeshBC6GZd3lumdCamPwEPDMVL2tH2zaNWqhBC6HIe780ykt4LnAD8DRggXb0b2H10ixZCCF1svDfLkMZz39X23aNdmBBCGDfaOGaMpH7g10AfqV4+2/YJdeLeAJxIusC+ynbD2e1K+rnfAtw/kgI3IukgSTdIWibpw3VeP07StZKulvQrSU9uZ/4hhLDRBl2+DG8N8GLbzwb2AA6S9NxqgKTZwPHA8/OMdcc2S7Dhlbuk4/LqcuBiST/NBQDA9pdKSlwn3Ymkh6BeSppEe6GkeTXT6F0JzLG9StI/k+ZPPWwk+YUQwqhY174bqrZNekAUYFJeaj8V3gWcYvve/J47mqXZ7Mp9Rl5uBi4EJlf2zWi18BX7AMtsL7f9CHAm8JpqgO0FtlflzUupMxVfCCF0VJuH/JU0UdJi0uCMF9q+rCbkqcBTJf1O0qWSDmqWXrM29z7bHykqVWu2JzX1DFkB7Nsk/h00mBxE0lHAUQB7P24Pdpk+q01FDCGEYbRwQ7VaV2Vzbc+txtgeAPbIM9/9WNIzbV9TCdkMmA0cQLrg/U2Oua9ens2u3Jt+KmyEekMe1v0pSXoLMAf4Yr3Xbc+1Pcf2nKjYQwhjyYOD5UulrsrL3Ibppsr6Yjasg1cA59lea/vPwA2kyr6uZpX7RElbSXpcvaX8R7CBFcAOle2Z1JmTVdKBwEeBQ2yvqX09hBA6qo03VCVtm6/YkTQFOBC4vibsJ8CLcsw2pGaa5Y3SbNYs8zTgchpfae88bInrWwjMlrQTcCtwOOtHnARA0p7AN4GDhrtpEEIIHdHefu5PAk7LHU4mAGfZPl/SScCiPL3pBcDLJF1Leubog826qDer3K+1vWcbCw+A7XWSjiYVdCJwqu2lNQfxRWA68COliStutn1Iu8sSQggj1sbhB2xfDWxQ39r+RGXdwHF5GVbp8ANtZXs+ML9mX/UgDhzzQoUQQgu6fQ7VZpX7yWNWihBCGG/Ga+Vu+ztjWI4QQhhfxvvAYSGEEOoYr1fuIYQQmujyyr1k4DAkHdxsO4QQNjUeGCxeOqH0yn1v4Pwm2x13X+FzTo+08GVlTWHsak0sinu4MG6qij5zAVjleo8hbOghlcVNc3neUwfLYqcOFh732vJzM3VtWTe0KQ+XzeXe99C6orj+vrI4gL4pa4viJk8tO5ZJU8uf5dtselnshOkPFcZNKs57wrS+ojhN6y9LcOqU4rw1pTDNdujyK/eiv6bacYXrjTMcQgidNKYVO+O7K+SjJP0dMKsab/v0USpTCCF0v/FeuUv6LvAUYDHpkVdIww9E5R5C2HR1d0/Ioiv3OcBu+dHXEEIIgNd1d+1eckfsGuCJo12QEEIYVwZbWDqg5Mp9G+BaSX/ksdPsxUBeIYRNVi/cUD1xtAsRQgjjTne3ygxfudu+RNITSH3bAf4YY6yHEDZ13X7lPmybu6Q3AH8E/gF4A3CZpENHu2AhhNDVeqDN/aPA3kNX65K2BX4JnD3cG/Ps3CeTJuX4lu3P1bx+HPBOYB1wJ/B223/Jrw0AS3JoTNYRQugqLn9YuSNKKvcJNc0wd1N2xT8ROAV4KWne1IWS5tm+thJ2JTDH9ipJ/wx8ATgsv7ba9h4lBxFCCGPN473NHfi5pAuAH+Ttw6iZRamBfYBltpcDSDoTeA3waOVue0El/lLgLSWFDiGEjuvyyn3YK3DbHwTmArsDzwbm2v5QQdrbA7dUtlfkfY28A/hZZbtf0iJJl0p6bb03SDoqxyy6+cGbC4oUQgjt4cHypRNKBw47BzinxbTrDUNY9/aypLeQnoTdv7J7R9u3SdoZuEjSEts31pRrLumDh1fu+MruvnUdQugp47ZZRtJvbb9A0koeWymLNBH35sOkvQLYobI9E7itTj4Hkm7a7m+7+pDUbfn/5ZIuJs0MfmPt+0MIoRM8UDaMdqc0m0P1Bfn/GSNMeyEwW9JOwK3A4cCbqgGS9gS+CRxUvWkraStgle01krYBnk+62RpCCF2h26/cS3q9fLdkXy3b64CjgQuA64CzbC+VdJKkoW6NXwSmAz+StFjSvLz/6cAiSVcBC4DP1fSyCSGEjvKgipdOKGlzf0Z1Q9JmwF4lidueT03PGtufqKwf2OB9vweeVZJHCCF0wri9cpd0fG5v313SA3lZCfwNOG/MShhCCF3IVvHSCQ0rd9ufze3tX7S9eV5m2N7a9vFjWMYQQug63d4VsmQ89z9K2mJoQ9KWjfqdhxDCpmJwQMVLJ5RU7ifYvn9ow/Z9QEyQHULYpPXCDdV6HwBFDz+FEEKv6lSlXarkyn2RpC9JeoqknSV9Gbh8tAsWQgjdzC5fOqHkCvy9wMeBH5KeTv0F8J7RLNRI3D/wcFHcGpV/6Xh4wqSiuH4mlqVX+IVnlcrSA5haGNuvsquMaS75vB/KuyzN/gmFeQ+Wn5t+lx331MIJFaY8XHbXa8qa8nFe+x8aKIubXJbm5L7yvPv6y2InTSkr46SpZX9fABMLYydOX1kUN2Fq2e+FpvUVxbVLt1+5l8zE9BDw4TEoSwghjBvt7OIoqR/4NdBHqpfPtn1CTUwfcDrpOaO7gcNs39QozWEr9zw5x7+SHmbqH9pv+8WtH0IIIfSGgfb2glkDvNj2g5ImAb+V9DPbl1Zi3gHca3sXSYcDn2f9/BcbKPkO/n3gemAn4JPATaRxY0IIYZPVzoeYnDyYNyflpbZN8TXAaXn9bOAlUuO20ZLKfWvb3wbW2r7E9tuB5xa8L4QQelYrXSGrc0/k5aja9CRNlLQYuAO40PZlNSGPzpGRx+66H9i6UflK7lSszf//VdKrSMP2zix4Xwgh9KxWesFU555oEjMA7CFpS+DHkp5p+5pKSPEcGVBWuX86P6H6L8BXgc2B9xe8L4QQetZo9ZaxfV+ew+IgoFq5D82RsSIP4LgFcE+jdJpW7nmS69m2zyd9BXjRRpY7hBB6wsBgebfh4eSOK2tzxT4FOJB0w7RqHnAE8AfgUOAiu/H3h6aly18TDmkWE0IIm6I2P8T0JGCBpKtJHVYutH1+zfwX3wa2lrQMOI5huqiXNMv8XtLXSA8xPbT+wHxFUZHrkHQQcDIwEfiW7c/VvP5u0oNSA8CDwFExWUcIoZsMtrGfu+2rSVOJ1u6vzn/xMPAPpWmWVO5/l/8/qZonMKJ+7rmp5xTgpaQ2pIWS5tVU3mfY/kaOPwT4Eqn9KYQQukKnxmkvVfKEarvb2fcBltleDiDpTFL/zUcrd9sPVOKn0eSOcAghdEKnxowp1Wwmpu9U1o9oY56P9tXMVuR9tfm/R9KNpImxj2lQxkf7jt7+0G1tLGIIITQ3aBUvndDshuqzK+vva2OeRX01bZ9i+ynAh4CP1UvI9lzbc2zPeeK07dpYxBBCaG5gcELx0gnNch2tLx1DfTWHzCQ9GNXImUDM/BRC6CpuYemEZm3uMyV9hXSlPbT+KNt1m0oKLARmS9oJuBU4HHhTNUDSbNt/ypuvAv5ECCF0kU41t5RqVrl/sLK+qF0Z2l4n6WjgAlJXyFNtL5V0ErDI9jzgaEkHkoY+uJfUcT+EELrGuO0tY/u0Rq9tLNvzgfk1+6r9OdvZxh9CCG1XNr1L58RcqCGEMAKu2zeke0TlHkIII7BuvDbLhBBCaGzcXrlL+ipNevFsRG+ZEEIY98Zzm3vbesiEEEKvGbdX7rW9ZSTNSLsfnecvhBA2WeP5yh0ASc8Evgs8Lm3qTuCttpeOduFacf+6VUVxayZMKk7zYa8riutX2a2Lhwvz7mdiURzA6sLbJv0qewT6IZXnXZpmf+EVzpQJ5VdC/YU3s6YVxvUXPiI+ZbCFn89A2bOJU1aVVRP9qweK8+6bUBbbN6nwd7yvLA5gcmHspP6yMk6asnb4IGCzKY8UxQHMKI5sbGC8XrlXzAWOs70AQNIBwH+zfijgEELY5IzSLHttU1K5Txuq2AFsXyxp2iiWKYQQut5gD1y5L5f0cVLTDMBbgD+PXpFCCKH7dflw7s3nUM3eDmwLnAv8OK+/bTQLFUII3W6whaUTSmZiuhc4RtLmwGD0lgkhBBhUdzfLDHvlLulZkq4ElgBLJV2ee9CEEMIma6CFpRNK2ty/yYa9ZeYSvWVCCJuw6C0TQgg9qNt7y5TcUF0u6eOSZuXlYxT2lpF0kKQbJC2T9OE6r79b0hJJiyX9VtJuef8sSavz/sWSvtHaYYUQwugaz9PsDXk78ElSbxmAX1PQW0bSROAU4KWkeVMXSppn+9pK2Bm2v5HjDwG+BByUX7vR9h5FRxFCCGNsXDfLSNoWeDLwCdv3tZj2PsAy28tzWmcCrwEerdxtP1CJn0b3dx0NIQSg+8eWadgsI+mdwFLgq8D1+cq6FdsDt1S2V+R9tfm8R9KNwBeA6jDCO0m6UtIlkl7YoIxHSVokadE9q+9osXghhDByAypfOqFZm/uxwDNsP4/UM+b4FtOud0gbXJnbPsX2U4APAR/Lu/8K7Gh7T+A44Izcz772vXNtz7E953FTHt9i8UIIYeS6/SGmZpX7I7bvBMhNK30tpr0C2KGyPRO4rUn8mcBrc35rbN+d1y8HbgSe2mL+IYQwarq9cm/W5j5T0lcabRfMxLQQmC1pJ+BW4HDgTdUASbNt/ylvvgr4U96/LXCP7QFJOwOzgeUlBxRCCGOhy6dQbVq5f7Bm+/JWEra9TtLRwAXAROBU20slnQQssj0POFrSgcBa4F7giPz2/YCTJK0jPeD1btv3tJJ/CCGMpm6/oVo8E9NI2J4PzK/Z94nK+vsavO8c4JyNzT+EEEZLO4cVkLQDcDrwRNLnxlzbJzeI3Ru4FDjM9tmN0iybxieEEMJjtLmf+zrgX2xfkac0vVzShTXPBQ09P/R5UotIU2Vzi4UQQniMdt5Qtf1X21fk9ZXAddTpOg68l9SqMWzf76jcQwhhBFqp3KvP5OTlqEbpSpoF7AlcVrN/e+B1QNFwLCUTZH+lzu77STdFzyvJJIQQek0rj9PbnksaTbcpSdNJV+bH1jzBD/CfwIdyL8Jh8yxpc+8Hngb8KG+/nvTk6jskvcj2sQVphBBCT2n32DKSJpEq9u/bPrdOyBzgzFyxbwO8UtI62z+pl15J5b4L8GLb63IB/gv4BWlAsCWtH0IIIYx/be4tI+DbwHW2v1QvxvZOlfjvAOc3qtihrHLfnjSo1/15exqwXf5qsKaw7KPugbUPFcWtmTi5OM2+CZOK4lZPKOt0tMpl6fWrvBNTaexkTRyFvMvSnFx4a2eKym8B9RfG9hfm3VeYdX8LT65MKYydMliW+WSXn5spg2W9sPsfLovre7i8EaJfZdVe32bryuImlaU3qTAO0mXvxhps7ziHzwf+EVgiaXHe9xFgR4Ch0XNbUfLb8gVgsaSLSePF7Af8W56w45etZhhCCL2gnQ8x2f4t9cfjahR/5HAxJRNkf1vSfNIQvgI+YntojJjap1hDCGGT0O3jk5d+D54A3AncA+wiab/RK1IIIXS/8TxwGACSPg8cRuohM1ROk2ZkCiGETdI6dfe1e0mb+2uBXW13zc3TEELotO7M3iUEAAAWn0lEQVSu2ssq9+XAJCAq9xBCyMbtqJAVq0i9ZX5FpYIvGM89hBB6Vpu7QrZdSeU+Ly8hhBCy7q7ay7pCbvS47rUkHQScTJrE41u2P9cg7lDSsAd7217U7nKEEMJIjdtmGUln2X6DpCXUn9h695FkmMcjPoU0fMEKYKGkeXXGLZ4BHEPNyGghhNANBrr82r3ZlfvQLEkHtznPfYBledJtJJ0JvAa4tibuU6SnYz/Q5vxDCGGjdfuVe8OHmGz/Nf//l3rLRuS5PXBLZXsFNYPSS9oT2MH2+c0Sqo6R/OCamGI1hDB23MK/TmjWLLOSJvcMbG8+wjzrjZ/waD6SJgBfBo4cLqHqGMk7Pu5Z3f0dKYTQU7r9yr3ZBNkzACSdBNwOfJdUMb8ZmLERea4AdqhszwRuq2zPAJ4JXJzHLX4iME/SIXFTNYTQLbq9K2TJ2DIvt/112yttP2D7v0gTdozUQmC2pJ0kTQYOp9LV0vb9trexPcv2LNIs31GxhxC6iltYOqGkch+Q9GZJEyVNkPRmNmKc+jzpx9Gk2buvA86yvVTSSZIOGWm6IYQwltbh4qUTSh5iehOpT/rJpA+h3+V9I2Z7PjC/Zt8nGsQesDF5hRDCaOjUjdJSJQ8x3UTqqhhCCCEbtzdUh0jaFngXMKsab/vto1esEELobuP+yh04D/gNaUq9ds4JG0II49a4v3IHptr+0KiXJIQQxpEBd/eVe0lvmfMlvXLUSxJCCOPIIC5eOqHkyv19wEckrQHWkh5k8kY8oRpCCOPeuG9zH3pStdvd/8iqorj+iWuL05w0seSzDyZPmFQU11cYN3lCWb6txParMG9NLM+7MLZfhT/HVvIunNu9vzDNPpWlN1n1Rs+ob0phGfsmlKU5ue7IHQ3ydmHepXEtNDD3u+x8962bXBa3tqwS7W+hFfxpxZGNjfs2d0n71dtvOybIDiFssrp9+IGSj9gPVtb7SUP2Xg68eFRKFEII40AvNMu8urotaQfSOOshhLDJ6vbeMuWNu+utII3aGEIIm6xx3ywj6ausH9hsArAHcNVoFiqEELrduL+hClSH2l0H/MD270apPCGEMC6M2zZ3STvavtn2aWNZoBBCGA+6vVmmWSfXnwytSDpnDMoSQgjjhu3ipROaVe7VJyZ2Hknikg6SdIOkZZI+3CTuUEmWNCdvz5K0WtLivHxjJPmHEMJoGcDFy3AknSrpDknXNHh9C0n/K+kqSUslvW24NJu1ubvBehFJE4FTgJeSetgslDTP9rU1cTOAY4DLapK40fYereYbQghjoc3NMt8Bvgac3uD19wDX2n51Hob9Bknft/1IowSbXbk/W9IDklYCu+f1ByStlPRAQWH3AZbZXp4LcCb1J/34FKnf/MMFaYYQQldoZ7NMfuL/nmYhwAxJAqbn2HXN0mxYudueaHtz2zNsb5bXh7ZLBg3bHrilsr0i73uUpD2BHWyfX+f9O0m6UtIlkl5YkF8IIYyZVkaFlHSUpEWV5agWs/sa8HTgNmAJ8D7bTXtjjuQhplL1Rjl69CNM0gTgy8CRdeL+Cuxo+25JewE/kfQM24/5xpB/QEcB9E/ehsmTYqDKEMLYaKUrpO25wNyNyO7lwGLSsC9PAS6U9JvaOrGqbEi4kVkB7FDZnkn61Bkyg/Sk68WSbgKeC8yTNMf2Gtt3A9i+HLgReGptBrbn2p5je05U7CGEsTRgFy9t8DbgXCfLgD8zzOCWo1m5LwRmS9pJ0mTgcGDe0Iu277e9je1ZtmcBlwKH2F4kadt8QxZJOwOzgeWjWNYQQmjJGE/WcTPwEgBJTwB2ZZg6cdSaZWyvk3Q0cAEwETjV9lJJJwGLbM9r8vb9gJMkrSPN2/pu281uNoQQwphqZ28ZST8ADgC2kbQCOAGYBGD7G6SOJ9+RtITU5P0h23c1S3M029yxPR+YX7PvEw1iD6isnwPEg1MhhK7VzoeTbL9xmNdvA17WSpqjWrmHEEKv6vbhB6JyDyGEERi3A4eFEEJobKB5N/OOi8o9hBBGoFMDgpWKyj2EEEYg2txDCKEHRZv7GHnokbJxxx6e0HAQtQ1MmlD245k8sc1xhfkCTJowqa1ptpJ3cZoqjZtYnneb0+xT2fN8kykvY2mamxXG9bXwzOFk1Rv9Y+Rp9k0oSy+lWRY72YVlLKxD+1x+bl5SHNnYYDTLhBBC74kr9xBC6EHRWyaEEHpQNMuEEEIPimaZEELoQXHlHkIIPSiu3EMIoQcNeKDTRWgqKvcQQhiBGH4ghBB6ULcPPzCa0+w1JOkgSTdIWibpw3VeP1LSnZIW5+WdnShnCCE0Yrt46YQxv3LPc6OeAryUNIn2QknzbF9bE/pD20ePdflCCKFEt/eW6cSV+z7AMtvLbT8CnAm8pgPlCCGEEXML/zqhE5X79sAtle0VeV+t10u6WtLZknaol5CkoyQtkrRocPCh0ShrCCHUNeDB4qUTOlG51xsKrvaj7X+BWbZ3B34JnFYvIdtzbc+xPWfChGltLmYIITTW7W3unajcVwDVK/GZwG3VANt3216TN/8b2GuMyhZCCEUG7eKlEzpRuS8EZkvaSdJk4HBgXjVA0pMqm4cA141h+UIIYVjdfuU+5r1lbK+TdDRwATARONX2UkknAYtszwOOkXQIsA64BzhyrMsZQgjNdHs/9448xGR7PjC/Zt8nKuvHA8ePdblCCKFUPKEaQgg9KCbrCCGEHtTtDzFF5R5CCCMQzTIhhNCDYjz3EELoQXHlHkIIPajb29xb6og/HhfgqE7EdTLv8VDGTTXv8VDGTTnvXlo6XoBRP8D0YNSYx3Uy7/FQxk017/FQxk05715aOjJZRwghhNEVlXsIIfSgTaFyn9uhuE7mPR7KuKnmPR7KuCnn3TOU26RCCCH0kE3hyj2EEDY5UbmHEEIPiso9hBB6UFTu44Ckx0naqtPlKCHpOZ0uw3AkbdPGtOLctFE7z82mrqcrd0mPK4zbRdLrJe1Ws3/LFvLarLI+XdKcZvlL2lbSnpKeJWl6ndd3lHSmpDuBy4CFku7I+2aVlmskJD1N0s8k/VTSUyR9R9J9kv4o6emVuOfULHsB8/JxtaUikbS5pL1GWoFKeoWkP0v6bS7XUuAySSskvaTJ+7aSNKPBax05N6XnJceO6rnZ2POS02j53DQ7LzVxT8jHvaekJ4y0jONap5+iatcCfKyyvhvwf8CfgZuAfWtiFwDb5PV/zLHfApYA763ErQN+CbwD2LJJ3kcCd+d0XgEsB34F3AK8sSZ2t5zmMuARUuXwZ+A7wBaVuD8AhwETK/smkuacvbTwZ7Kksr4DcCbwG+AjwKTKaz+ped+vgVcDbwT+kvNU3verStwg8Pv88xxaVuf/L6rEvb2yPjP/bO7L731qTd7fq5ybl+ef4S9zOf6hEndPPmcvIff6avAzWAw8HXhePkfPzfufDlxRE7sdcDpwPzAA3JyXE2t+Xh05N6XnZTTOTel5GY1zU3pecuwewKWkeZd/mZfr877njEVd1C1LxwvQtgN57C/DT4FX5PV9gN/XxF5TWV8IbJ3XpwJXV15bAhwMfD//8p2X/6Cm1KS3BNgG2Al4AHhK3v+Eanp536XArpWynZbX3wWcXYn7U5Nj/VNl/e8bLK8H7qzEXQi8O//yfzX/8Q4d95U16V9ZWV/W5Od8KHAJ8MrKvj8Pc27OAv6J9K3xdWxYKVUrvd8Ds/L6NsBVldduAI4GfgfcCpw8VDk0yfuWmtcW12xfBBxQ+bl+GZgGfBqY2+lzU3peRuPclJ6X0Tg3pedl6H3UXMzl/c+tLWevLx0vQNsO5LG/KA0rq6FtYPu8vgDoz+sTgaUN0pwCvAE4l1TRn1F5rfqLeFtNXrWVe+0fQjWPayvrZwJfB/YlXblsl9e/DpxViVtLuur/nzrLynplzNtvAZYCT6lTMVQ/4P5fzWvX1GxPz39sPwJ2BJYPc25qy1F7bpYCm+f13wITqq81SHNH4F+BK0jfmv6t8tpFpArrg8DVwPuB7YEjgN8Oc24ur6xf3+lz08p5afe5KT0vo3FuSs9L3m72wbus0Wu9uPTSkL87S5pH+po6U9JU26vya5NqYt8P/ELSOaRf2osk/Rx4IekPb4iGVmyvJl3ZnCVpC+C1lbibJX0WmAFcL+k/SB8CBwJ/rcn7RkkfJ339/XvSlQaSJvHYIZjfSmoO+iTpF16kr8L/C3y7Enc18O+2r6n9gUg6sLI5SVK/7Yfz8XxP0u3ABaSroKpTJE23/aDtr1fS24X0NfdRth8E3i9pD+A0UoVSa6akr+Rj2FbSJNtrh8pVE/tJYIGkU0hXfj+SdB7wYuDn1cOrlOFm4AvAFyTtSvp2NeQI4GOkZoqXkZo0LiA1J7yrJu87Jb2FVOm8ntSkhyTx2PtTnTo3xeclp9POc1N6XqD956b0vAD8TNJPSc04t+R9O5DOWW05e1rPPKEqaf+aXZfbfjDfTDnU9ik18VsAbwKeSqpUVwDn2b6+EvMB2/9ekPfmwHsAA18jtUm+jfRL+mnbf63EbklqV90NuAr4nO2VuTxPt31pi8f9QuAv+Y+o9rU5thfl9feTrqguqYnZE/iC7Ze2km+DsgiYYfuBmv1H1ITOs32vpCcCx9j+SE38LqQ/7uq5+YntCyoxX7J93MaWuSbfHYF/J52bxcAHbf9V0takZoFzWkyvp85NyXnJcW09N62eF0mvAF7D+g/eFfm45rerTONBz1TumxJJB9s+v5vz7mQZS41GGTt13K3ku6mem01NT3eFHCLpqHbHtjuuxdi9C9M7uJ1xreRdGtdK3qNwPKXH0vY0O3kspbGj8fvTqZ9jji3+W+wFm0TlTqUNsI2x7Y7bIFbSPpL2zuu7STpO0ittn1CY3ogr4tK8x7CMrcQ+Jq4NZRw2b0mnA4zFuRlpvp0qYyuxo1hGaO1vcdzrqWYZSU8jtbNdlm8mDe0/yPbPRxLb7rjSWEknkPrMb0bqKrcvcDHpJu0Ftj9Ted8+gG0vVHoQ6yBSL4LHtDG2EFeU92iUsd3H00oZW0hzXm2RgReRbvhh+5DaY6q893Tbb230erO4VvLtVBlbiR2jMr6A1OX4Gtu/KClrr+iZyl3SMaSbmteR+gu/z/Z5+bUrbD+n1dh2x7WY5pL8eh9wOzDT9gOSppA+FHbPcaNREZfm3dYyjsbxlJaxxTSvAK4lPahjUqX0A3JPkKEbo6WVVwtxRfl2soyjcTwt5v1H2/vk9XeR/tZ+TOqN87+2P8emwl3QH7MdC+lBoul5fRawiFRxwoZ9qYti2x3XYpp11/P24pr0JpIewHqA9X2Rp7DhA1nDxrWYd1vLOBrHU1rGFtOcQOpOeyGwR95Xtw856cnOA4D98/9/zev7jyCuKN9OlnE0jqfFvKvneyGwbV6fRuVBrE1h6XgB2nYglQeA8vZ0Ur/WL9X5Iy6KbXdci2leBkzN69UHRragwQNbtKEibjHvtpZxNI6ntIytljPvm0l6QOhrwM11Xi+tvIor7ZJ8O13Gdh9Pi3lfBWwFbE3NxNi157TXl44XoG0Hkr6i7VGzbzPSwwwDI4ltd1yLafY1OM5tgGdVtttaEbeYd1vLOBrHU1rGVstZ875XUXnyss7rRZVxaVxpvp0uY7uPpyQ90gNOy0njNS0Hnpj3T6fOB3QvLx0vQNsOJJ34JzZ47fkjiW13XKuxhcfd1op4lM5NKxVsx45ntH9GpZVxK5X2KJyrtpex3cczkvRITW07deJn2qmlZ26ohhBCWG9T6eceQgiblKjcQwihB0XlPk5IerAg5lhJUyvb8zXMbFKSblKdqc3y/iWSrpZ0iaQnF+Q/bH6tqh63pCMk/SkvRzR5z9mSds7rN0n6Tc3riyVdk9fnKI2KiKQjJX0tr58o6QN5/SQ9dhTHMSHpGEnXSfp+YfyRku6UdGX+GV0g6e9qYjaTdJfSKKbV/RdLmpPXf6lxMnVgaCwq995yLOnGEQC2X2n7vo1I70VOD/lcTBqatak25NeQ0pSFJ5AeLNoHOKFeBSTpGaQZkpZXds+QtEN+/THT0dleZPuYZnnb/oTtDYbUHQP/jzTZxptbeM8Pbe9pezbwOeDcmmN+GWkyjTdIavQ4/ndz3mEci8p9nJF0QL7KOlvS9ZK+r+QY0qQRCyQtyLGPXpVL+omkyyUtVesDKP2BNFzCUBnqpjWUn6RpSvN8XiXpGkmH5df3yt8CLs9XlU+qc3w7SfqDpIWSPlV56eXAhbbvsX0vqc/zQXXK+mbSjFlVZ5GmxYM0ZvgPKvkdIKnp6INKc5Uemtdfkq+Ml0g6VVJf5dg/KemK/NrT8v798zeFxfl9G8z/qTTWzTV5OTbv+wawM2ne0/fXiT81rz8rv29qbbq2FwBzger5fiNpZqSbSbMT1TMvx4VxLCr38WlP0lX6bqQK4Pm2vwLcRrraflGd97zd9l7AHOAYpbGwSx0E/KSFtA4izUj1bNvPBH6uNBnJV0lj6+8FnAp8hg2dDPyX7b1JwwUM2Z71ky9AGqN7ezb0fODymn1nkyZGgTTf6P/WP8zmJPWTZlY6zPazSM8n/HMl5C6n4SP+C/hA3vcB4D229yBNBrO6Js29SGP/70uqbN8laU/b72b9+fxyTVH+E9hF0utIk8v8k9dPTFPrCmDog2YKaV7T80kfcHUr8Pzh2dfi70joMlG5j09/tL3C9iBp8oJZBe85RtJVpDlcdwBmF7xngaQ7SGOrnNFCWkuAAyV9XtILbd8P7Ao8E7hQ0mJSM8/MOnk+n/VX1t+t7K/XhFCvH++TgDtr9t0D3CvpcNKYPo0qwuHsSpqH9P/y9mnAfpXXz83/X876c/I74Ev5m9WWttfVpPkC4Me2H3IaRO5c0odAQ/m8H0n6+Vxi+3dNwqs/t4OBBfmD4BzgdZImNnjfHaRvgmGcisp9fFpTWR+A5tMlSjqAVEE/z/azSXPI9hfk8yLgyaSpCE8qTStXfnuRKvnPSvoEqZJZanuPvDzL9ssa5Fuv0l5B+iAZMpN0ZVtrdYNj+yFwCpUmmREYbsjYofPy6DlxGqjqnaTxaS4daq5pIc1GZgMPMnwFvCfpAw3SlfqBkm4ifQBtTTrH9fRT8y0jjC9RufeWlaR5XGttAdxre1WuXBq1tW7Aae7YY4G35puaw6YlaTtgle3vkaZHew7pJt62kp6XYyblm5+1fsf6eTarNxIvAF4maat8I/VleV+t64Bd6uz/MWkuz3rvKXU9MEtpujmAfwQuaRKPpKfYXmL786RB4mor918Dr5U0VdI04HXAb2rTqUlzC1Lz1X7A1kP3A+rE7U9qb/9vpakgXwDsaHuW7VmkERM3aJrJN1qfSJ6rNIxPUbn3lrmkCYIX1Oz/ObCZpKuBT5GaU4o5zQH7A1JlUJLWs4A/5uaXj5LmkX0EOBT4fG7SWQz8XZ33vg94j6SFpA+SoTLck/NbmJeT8r5aPyWNGlh7DCttfz6XY0ScJrB+G2ly6CWkiZ2/Mczbjs03PK8iXQn/rCbNK0jt+H8kjW3zLdtXDpPml4Gv529I7wA+J+nx+bXD8s3b/yPN1ft629eR7jlcZLv6re884JChm8IVewGX1mlCCuNIDD8Qekq+abiAdJN5oNPlGY8knUyaUPpXnS5LGLm4cg89JTcjnUD9njShzDVRsY9/ceUeQgg9KK7cQwihB0XlHkIIPSgq9xBC6EFRuYcQQg+Kyj2EEHrQ/wexRYolJwYyWgAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a22c0b4a8>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "d_lab = [str(int(100*d)/100) for d in vec_d0] \n",
-    "sns.heatmap(mat_R0.T,yticklabels=th_lab, xticklabels=d_lab)#, annot=True)\n",
-    "plt.yticks(rotation=0)\n",
-    "\n",
-    "plt.title('Initial Reserve: R0 (Millions of xDAI)')\n",
-    "plt.ylabel('Funding Pool Fraction: Theta')\n",
-    "plt.xlabel('Intial Raise d0 (Millions of xDAI)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,15,'Intial Raise d0 (Millions of xDAI)')"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a22a6cc18>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.heatmap(mat_S0.T,yticklabels=p0_lab, xticklabels=d_lab)#, annot=True)\n",
-    "plt.yticks(rotation=0)\n",
-    "\n",
-    "plt.title('Initial Supply: S0 (Millions of Tokens)')\n",
-    "plt.ylabel('Hatch Sale Price: p0 (xDAI per Token)')\n",
-    "plt.xlabel('Intial Raise d0 (Millions of xDAI)')"
-   ]
-  },
-  {
-   "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": "3.7.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Simulation/AggregatedAgentCICHolding_FirstFiveRuns.jpeg b/Simulation/AggregatedAgentCICHolding_FirstFiveRuns.jpeg
new file mode 100644
index 0000000..4569f68
Binary files /dev/null and b/Simulation/AggregatedAgentCICHolding_FirstFiveRuns.jpeg differ
diff --git a/Simulation/CIC_Network_cadCAD_model.ipynb b/Simulation/CIC_Network_cadCAD_model.ipynb
index 9dc33fc..2f39029 100644
--- a/Simulation/CIC_Network_cadCAD_model.ipynb
+++ b/Simulation/CIC_Network_cadCAD_model.ipynb
@@ -250,7 +250,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -311,8 +311,8 @@
       "        \\___/\\__,_/\\__,_/\\____/_/  |_/_____/  \n",
       "        by BlockScience\n",
       "        \n",
-      "Execution Mode: single_proc: [<cadCAD.configuration.Configuration object at 0x7f78b7d16c90>]\n",
-      "Configurations: [<cadCAD.configuration.Configuration object at 0x7f78b7d16c90>]\n"
+      "Execution Mode: single_proc: [<cadCAD.configuration.Configuration object at 0x7fbf17ed0d50>]\n",
+      "Configurations: [<cadCAD.configuration.Configuration object at 0x7fbf17ed0d50>]\n"
      ]
     },
     {
@@ -392,15 +392,15 @@
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 26...</td>\n",
-       "      <td>{'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 94...</td>\n",
-       "      <td>{'a': 1.0, 'b': 1.0, 'c': 1.0, 'd': 0, 'e': 0....</td>\n",
-       "      <td>22.59</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 193, 'd': 484, 'e': 254,...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 193, 'd': 59, 'e': 254, ...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 1.0, 'd': 0.121900826446...</td>\n",
+       "      <td>14.98</td>\n",
        "      <td>{'a': 400, 'b': 400, 'c': 400, 'd': 400, 'e': ...</td>\n",
        "      <td>{}</td>\n",
        "      <td>0</td>\n",
-       "      <td>[c, a, m, j, e, l, g, b, i, g, o, e, j, m]</td>\n",
-       "      <td>[k, g, a, l, i, a, external, k, d, external, m...</td>\n",
+       "      <td>[i, d, i, p, c, l, p, e, e, i, m, j, h, m]</td>\n",
+       "      <td>[f, external, m, f, d, m, d, b, g, c, a, c, ex...</td>\n",
        "      <td>4500</td>\n",
        "      <td>200000.00</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
@@ -414,15 +414,15 @@
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 1.0, 'd': 1.0, 'e': 0, '...</td>\n",
-       "      <td>16.89</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'a': 143, 'b': 187, 'c': 462, 'e': 94, 'g': 2...</td>\n",
+       "      <td>{'a': 336, 'b': 0, 'c': 0, 'd': 768, 'e': 291,...</td>\n",
+       "      <td>{'a': 336, 'b': 0, 'c': 0, 'd': 326.0, 'e': 29...</td>\n",
+       "      <td>{'a': 1.0, 'b': 0, 'c': 0, 'd': 0.424479166666...</td>\n",
+       "      <td>29.48</td>\n",
+       "      <td>{'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....</td>\n",
+       "      <td>{'c': 193, 'd': 59, 'e': 254, 'h': 365, 'i': 2...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[k, k, h, h, d, k, c, m, i, h, g, k, m, o]</td>\n",
-       "      <td>[external, g, g, b, p, m, g, d, i, p, b, g, e, d]</td>\n",
+       "      <td>[j, l, h, d, f, m, e, k, a, external, d, f, g, h]</td>\n",
+       "      <td>[p, e, g, h, j, k, j, e, l, o, l, c, h, c]</td>\n",
        "      <td>4500</td>\n",
        "      <td>200000.00</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
@@ -436,15 +436,15 @@
        "    <tr>\n",
        "      <th>24</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 310, 'e': 0, 'f'...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 93.25, 'e': 0, '...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0.30080645161290...</td>\n",
-       "      <td>15.11</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'d': 363, 'h': 321, 'k': 561, 'a': 143, 'b': ...</td>\n",
+       "      <td>{'a': 0, 'b': 334, 'c': 19, 'd': 463, 'e': 0, ...</td>\n",
+       "      <td>{'a': 0, 'b': 334, 'c': 19, 'd': 7.5, 'e': 0, ...</td>\n",
+       "      <td>{'a': 0, 'b': 1.0, 'c': 1.0, 'd': 0.0161987041...</td>\n",
+       "      <td>22.56</td>\n",
+       "      <td>{'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....</td>\n",
+       "      <td>{'a': 336, 'f': 418.125, 'g': 198.5, 'k': 59, ...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[external, f, o, d, m, p, g, h, e, p, g, o, h,...</td>\n",
-       "      <td>[k, o, e, m, external, i, d, h, k, external, e...</td>\n",
+       "      <td>[m, i, external, p, d, g, external, b, h, j, k...</td>\n",
+       "      <td>[k, a, b, d, e, a, c, f, c, external, b, e, h, c]</td>\n",
        "      <td>4500</td>\n",
        "      <td>200000.00</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
@@ -458,15 +458,15 @@
        "    <tr>\n",
        "      <th>32</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 383, 'b': 0, 'c': 984, 'd': 365, 'e': 54...</td>\n",
-       "      <td>{'a': 383, 'b': 0, 'c': 135.625, 'd': 164.625,...</td>\n",
-       "      <td>{'a': 1.0, 'b': 0, 'c': 0.13783028455284552, '...</td>\n",
-       "      <td>18.27</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'f': 333, 'p': 225.5, 'external': 280, 'd': 4...</td>\n",
+       "      <td>{'a': 0, 'b': 443, 'c': 0, 'd': 496, 'e': 0, '...</td>\n",
+       "      <td>{'a': 0, 'b': 443, 'c': 0, 'd': 15.75, 'e': 0,...</td>\n",
+       "      <td>{'a': 0, 'b': 1.0, 'c': 0, 'd': 0.031754032258...</td>\n",
+       "      <td>8.80</td>\n",
+       "      <td>{'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....</td>\n",
+       "      <td>{'b': 334, 'a': 336, 'f': 418.125, 'g': 406.5,...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[p, a, f, external, d, e, c, c, g, e, i, c, h, i]</td>\n",
-       "      <td>[f, o, c, p, h, f, m, external, m, external, b...</td>\n",
+       "      <td>[d, o, b, f, k, e, h, f, i, f, j, j, l, b]</td>\n",
+       "      <td>[m, c, i, h, j, e, l, k, k, e, p, j, d, b]</td>\n",
        "      <td>4500</td>\n",
        "      <td>200000.00</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
@@ -480,15 +480,15 @@
        "    <tr>\n",
        "      <th>40</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>{'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....</td>\n",
-       "      <td>{'f': 349.5, 'p': 338.25, 'external': 546, 'd'...</td>\n",
+       "      <td>{'a': 213, 'b': 0, 'c': 60, 'd': 0, 'e': 0, 'f...</td>\n",
+       "      <td>{'a': 213, 'b': 0, 'c': 60, 'd': 0, 'e': 0, 'f...</td>\n",
+       "      <td>{'a': 1.0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 0, '...</td>\n",
+       "      <td>5.19</td>\n",
+       "      <td>{'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....</td>\n",
+       "      <td>{'o': 108, 'b': 777, 'a': 336, 'f': 700.125, '...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[g, d, i, d, l, k, b, e, c, j, external, k, m, l]</td>\n",
-       "      <td>[p, d, j, external, p, c, j, g, g, f, d, b, j, a]</td>\n",
+       "      <td>[g, c, a, f, h, e, c, g, k, e, i, i, o, i]</td>\n",
+       "      <td>[p, l, c, o, h, external, d, e, m, d, o, l, g, h]</td>\n",
        "      <td>4500</td>\n",
        "      <td>200000.00</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
@@ -512,53 +512,53 @@
        "40  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
        "\n",
        "                                            KPIDemand  \\\n",
-       "8   {'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 26...   \n",
-       "16  {'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...   \n",
-       "24  {'a': 0, 'b': 0, 'c': 0, 'd': 310, 'e': 0, 'f'...   \n",
-       "32  {'a': 383, 'b': 0, 'c': 984, 'd': 365, 'e': 54...   \n",
-       "40  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...   \n",
+       "8   {'a': 0, 'b': 0, 'c': 193, 'd': 484, 'e': 254,...   \n",
+       "16  {'a': 336, 'b': 0, 'c': 0, 'd': 768, 'e': 291,...   \n",
+       "24  {'a': 0, 'b': 334, 'c': 19, 'd': 463, 'e': 0, ...   \n",
+       "32  {'a': 0, 'b': 443, 'c': 0, 'd': 496, 'e': 0, '...   \n",
+       "40  {'a': 213, 'b': 0, 'c': 60, 'd': 0, 'e': 0, 'f...   \n",
        "\n",
        "                                             KPISpend  \\\n",
-       "8   {'a': 143, 'b': 187, 'c': 462, 'd': 0, 'e': 94...   \n",
-       "16  {'a': 0, 'b': 0, 'c': 41, 'd': 363, 'e': 0, 'f...   \n",
-       "24  {'a': 0, 'b': 0, 'c': 0, 'd': 93.25, 'e': 0, '...   \n",
-       "32  {'a': 383, 'b': 0, 'c': 135.625, 'd': 164.625,...   \n",
-       "40  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...   \n",
+       "8   {'a': 0, 'b': 0, 'c': 193, 'd': 59, 'e': 254, ...   \n",
+       "16  {'a': 336, 'b': 0, 'c': 0, 'd': 326.0, 'e': 29...   \n",
+       "24  {'a': 0, 'b': 334, 'c': 19, 'd': 7.5, 'e': 0, ...   \n",
+       "32  {'a': 0, 'b': 443, 'c': 0, 'd': 15.75, 'e': 0,...   \n",
+       "40  {'a': 213, 'b': 0, 'c': 60, 'd': 0, 'e': 0, 'f...   \n",
        "\n",
        "                                   KPISpendOverDemand  VelocityOfMoney  \\\n",
-       "8   {'a': 1.0, 'b': 1.0, 'c': 1.0, 'd': 0, 'e': 0....            22.59   \n",
-       "16  {'a': 0, 'b': 0, 'c': 1.0, 'd': 1.0, 'e': 0, '...            16.89   \n",
-       "24  {'a': 0, 'b': 0, 'c': 0, 'd': 0.30080645161290...            15.11   \n",
-       "32  {'a': 1.0, 'b': 0, 'c': 0.13783028455284552, '...            18.27   \n",
-       "40  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...             0.75   \n",
+       "8   {'a': 0, 'b': 0, 'c': 1.0, 'd': 0.121900826446...            14.98   \n",
+       "16  {'a': 1.0, 'b': 0, 'c': 0, 'd': 0.424479166666...            29.48   \n",
+       "24  {'a': 0, 'b': 1.0, 'c': 1.0, 'd': 0.0161987041...            22.56   \n",
+       "32  {'a': 0, 'b': 1.0, 'c': 0, 'd': 0.031754032258...             8.80   \n",
+       "40  {'a': 1.0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 0, '...             5.19   \n",
        "\n",
        "                                      startingBalance  \\\n",
        "8   {'a': 400, 'b': 400, 'c': 400, 'd': 400, 'e': ...   \n",
-       "16  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "24  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "32  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
-       "40  {'a': 495.0, 'b': 341.0, 'c': 169.0, 'd': 414....   \n",
+       "16  {'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....   \n",
+       "24  {'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....   \n",
+       "32  {'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....   \n",
+       "40  {'a': 415.0, 'b': 402.5, 'c': 420.5, 'd': 511....   \n",
        "\n",
        "                                         30_day_spend withdraw  \\\n",
        "8                                                  {}        0   \n",
-       "16  {'a': 143, 'b': 187, 'c': 462, 'e': 94, 'g': 2...        0   \n",
-       "24  {'d': 363, 'h': 321, 'k': 561, 'a': 143, 'b': ...        0   \n",
-       "32  {'f': 333, 'p': 225.5, 'external': 280, 'd': 4...        0   \n",
-       "40  {'f': 349.5, 'p': 338.25, 'external': 546, 'd'...        0   \n",
+       "16  {'c': 193, 'd': 59, 'e': 254, 'h': 365, 'i': 2...        0   \n",
+       "24  {'a': 336, 'f': 418.125, 'g': 198.5, 'k': 59, ...        0   \n",
+       "32  {'b': 334, 'a': 336, 'f': 418.125, 'g': 406.5,...        0   \n",
+       "40  {'o': 108, 'b': 777, 'a': 336, 'f': 700.125, '...        0   \n",
        "\n",
        "                                       outboundAgents  \\\n",
-       "8          [c, a, m, j, e, l, g, b, i, g, o, e, j, m]   \n",
-       "16         [k, k, h, h, d, k, c, m, i, h, g, k, m, o]   \n",
-       "24  [external, f, o, d, m, p, g, h, e, p, g, o, h,...   \n",
-       "32  [p, a, f, external, d, e, c, c, g, e, i, c, h, i]   \n",
-       "40  [g, d, i, d, l, k, b, e, c, j, external, k, m, l]   \n",
+       "8          [i, d, i, p, c, l, p, e, e, i, m, j, h, m]   \n",
+       "16  [j, l, h, d, f, m, e, k, a, external, d, f, g, h]   \n",
+       "24  [m, i, external, p, d, g, external, b, h, j, k...   \n",
+       "32         [d, o, b, f, k, e, h, f, i, f, j, j, l, b]   \n",
+       "40         [g, c, a, f, h, e, c, g, k, e, i, i, o, i]   \n",
        "\n",
        "                                        inboundAgents  operatorFiatBalance  \\\n",
-       "8   [k, g, a, l, i, a, external, k, d, external, m...                 4500   \n",
-       "16  [external, g, g, b, p, m, g, d, i, p, b, g, e, d]                 4500   \n",
-       "24  [k, o, e, m, external, i, d, h, k, external, e...                 4500   \n",
-       "32  [f, o, c, p, h, f, m, external, m, external, b...                 4500   \n",
-       "40  [p, d, j, external, p, c, j, g, g, f, d, b, j, a]                 4500   \n",
+       "8   [f, external, m, f, d, m, d, b, g, c, a, c, ex...                 4500   \n",
+       "16         [p, e, g, h, j, k, j, e, l, o, l, c, h, c]                 4500   \n",
+       "24  [k, a, b, d, e, a, c, f, c, external, b, e, h, c]                 4500   \n",
+       "32         [m, c, i, h, j, e, l, k, k, e, p, j, d, b]                 4500   \n",
+       "40  [p, l, c, o, h, external, d, e, m, d, o, l, g, h]                 4500   \n",
        "\n",
        "    operatorCICBalance                                     fundsInProcess  \\\n",
        "8            200000.00  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
@@ -674,15 +674,15 @@
        "    <tr>\n",
        "      <th>495</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 90, 'b': 369, 'c': 23, 'd': 0, 'e': 73, ...</td>\n",
-       "      <td>{'a': 0, 'b': 369, 'c': 2173.134679223996, 'd'...</td>\n",
-       "      <td>{'a': 0.0, 'b': 1.0, 'c': 94.48411648799983, '...</td>\n",
-       "      <td>39.50</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 177, 'c': 0, 'd': 380.3278659415...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 1, 'd': 0, 'e': 216, 'f'...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 1, 'd': 0, 'e': 216, 'f'...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 1.0, '...</td>\n",
+       "      <td>16.09</td>\n",
+       "      <td>{'a': 1397.2279590304938, 'b': 919.89307291706...</td>\n",
+       "      <td>{'a': 817, 'b': 383, 'c': 281, 'd': 2576.04463...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[c, i, m, i, b, c, i, l, external, e, a, a, i, i]</td>\n",
-       "      <td>[j, external, l, l, h, m, o, o, a, o, h, h, i, i]</td>\n",
+       "      <td>[k, m, j, f, c, e, k, o, k, p, g, j, d, c]</td>\n",
+       "      <td>[g, k, o, j, external, b, a, h, k, i, j, l, g, c]</td>\n",
        "      <td>...</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
        "      <td>1500</td>\n",
@@ -692,21 +692,21 @@
        "      <td>8</td>\n",
        "      <td>96</td>\n",
        "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1927.5761232713448, -2581.075082991195...</td>\n",
-       "      <td>[-1654.70852899975, 2248.5549359185716, 651.94...</td>\n",
+       "      <td>[1371.5511663962209, 1304.8160607519264, 3067....</td>\n",
+       "      <td>[1880.9234604645571, 2330.19597510887, 1045.05...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>496</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 307, 'c': 316, 'd': 0, 'e': 0, '...</td>\n",
-       "      <td>{'a': 0, 'b': 307, 'c': 651.9404037671989, 'd'...</td>\n",
-       "      <td>{'a': 0, 'b': 1.0, 'c': 2.063102543567085, 'd'...</td>\n",
-       "      <td>19.00</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 546, 'c': 2173.134679223996, 'd'...</td>\n",
+       "      <td>{'a': 586, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f'...</td>\n",
+       "      <td>{'a': 586, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f'...</td>\n",
+       "      <td>{'a': 1.0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f'...</td>\n",
+       "      <td>14.88</td>\n",
+       "      <td>{'a': 1397.2279590304938, 'b': 919.89307291706...</td>\n",
+       "      <td>{'a': 817, 'b': 383, 'c': 282, 'd': 2576.04463...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[l, c, l, j, b, h, b, e, c, d, c, p, i, external]</td>\n",
-       "      <td>[k, j, e, d, k, g, b, e, p, g, m, m, k, j]</td>\n",
+       "      <td>[l, o, p, external, o, m, a, k, a, o, external...</td>\n",
+       "      <td>[h, c, i, c, m, c, g, b, e, k, m, c, c, i]</td>\n",
        "      <td>...</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
        "      <td>1500</td>\n",
@@ -716,21 +716,21 @@
        "      <td>8</td>\n",
        "      <td>97</td>\n",
        "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1774.0761232713448, -2907.045284874794...</td>\n",
-       "      <td>[-1654.70852899975, 2095.0549359185716, 325.97...</td>\n",
+       "      <td>[1078.5511663962209, 1510.8160607519264, 3442....</td>\n",
+       "      <td>[1587.9234604645571, 2536.19597510887, 1420.05...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>497</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 35, 'b': 305, 'c': 293, 'd': 0, 'e': 0, ...</td>\n",
-       "      <td>{'a': 0, 'b': 305, 'c': 325.97020188359943, 'd...</td>\n",
-       "      <td>{'a': 0.0, 'b': 1.0, 'c': 1.1125262862921481, ...</td>\n",
-       "      <td>24.16</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 853, 'c': 2825.075082991195, 'd'...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 56, 'd': 346, 'e': 406, ...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 56, 'd': 1360.3531211347...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 1.0, 'd': 3.931656419464...</td>\n",
+       "      <td>28.76</td>\n",
+       "      <td>{'a': 1397.2279590304938, 'b': 919.89307291706...</td>\n",
+       "      <td>{'a': 1403, 'b': 383, 'c': 282, 'd': 2576.0446...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[m, b, j, m, a, external, f, c, external, m, k...</td>\n",
-       "      <td>[g, i, m, k, e, h, l, l, i, m, a, d, i, b]</td>\n",
+       "      <td>[o, d, o, k, l, g, e, m, c, m, j, j, f, j]</td>\n",
+       "      <td>[g, a, l, o, a, m, m, l, m, j, e, d, a, f]</td>\n",
        "      <td>...</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
        "      <td>1500</td>\n",
@@ -740,21 +740,21 @@
        "      <td>8</td>\n",
        "      <td>98</td>\n",
        "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1621.5761232713448, -3070.030385816594...</td>\n",
-       "      <td>[-1654.70852899975, 1942.5549359185716, 162.98...</td>\n",
+       "      <td>[2278.64406597355, 1510.8160607519264, 3414.44...</td>\n",
+       "      <td>[2788.0163600418864, 2536.19597510887, 1392.05...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>498</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 233, 'c': 0, 'd': 461, 'e': 201,...</td>\n",
-       "      <td>{'a': 0, 'b': 233, 'c': 0, 'd': 369.1639329707...</td>\n",
-       "      <td>{'a': 0, 'b': 1.0, 'c': 0, 'd': 0.800789442452...</td>\n",
-       "      <td>27.93</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 1158, 'c': 3151.0452848747946, '...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 514, 'd': 0, 'e': 0, 'f'...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 514, 'd': 0, 'e': 0, 'f'...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 0, 'f'...</td>\n",
+       "      <td>34.34</td>\n",
+       "      <td>{'a': 1397.2279590304938, 'b': 919.89307291706...</td>\n",
+       "      <td>{'a': 1403, 'b': 383, 'c': 338, 'd': 3936.3977...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[h, h, i, m, h, m, h, j, i, e, b, g, d, f]</td>\n",
-       "      <td>[j, e, c, j, m, f, j, i, k, d, f, f, b, m]</td>\n",
+       "      <td>[k, external, h, f, i, g, k, c, c, g, f, i, c, l]</td>\n",
+       "      <td>[j, i, a, j, k, m, d, f, j, k, f, k, l, e]</td>\n",
        "      <td>...</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
        "      <td>1500</td>\n",
@@ -764,21 +764,21 @@
        "      <td>8</td>\n",
        "      <td>99</td>\n",
        "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[703.0, 1689.6580897567273, -2990.030385816594...</td>\n",
-       "      <td>[-1654.70852899975, 2010.636902403954, 242.985...</td>\n",
+       "      <td>[3093.590125261905, 1510.8160607519264, 3157.4...</td>\n",
+       "      <td>[3602.9624193302416, 2536.19597510887, 1135.05...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>499</th>\n",
        "      <td>(a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 254, 'd': 285, 'e': 290,...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 242.98510094179971, 'd':...</td>\n",
-       "      <td>{'a': 0, 'b': 0, 'c': 0.9566342556763768, 'd':...</td>\n",
-       "      <td>25.28</td>\n",
-       "      <td>{'a': 570.0, 'b': 1690.488462001112, 'c': -166...</td>\n",
-       "      <td>{'a': 0, 'b': 1391, 'c': 3151.0452848747946, '...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
+       "      <td>{'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...</td>\n",
+       "      <td>3.51</td>\n",
+       "      <td>{'a': 1397.2279590304938, 'b': 919.89307291706...</td>\n",
+       "      <td>{'a': 1403, 'b': 383, 'c': 852, 'd': 3936.3977...</td>\n",
        "      <td>0</td>\n",
-       "      <td>[e, m, g, k, f, i, c, h, o, o, k, d, g, external]</td>\n",
-       "      <td>[d, a, o, g, p, d, j, c, l, l, m, m, l, a]</td>\n",
+       "      <td>[l, k, g, j, a, f, l, h, j, f, o, f, b, b]</td>\n",
+       "      <td>[e, external, g, f, o, i, o, b, c, h, a, a, o, l]</td>\n",
        "      <td>...</td>\n",
        "      <td>{'timestep': [], 'decision': [], 'cic': [], 's...</td>\n",
        "      <td>1500</td>\n",
@@ -788,8 +788,8 @@
        "      <td>8</td>\n",
        "      <td>100</td>\n",
        "      <td>[a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]</td>\n",
-       "      <td>[927.339751973192, 1689.6580897567273, -3029.0...</td>\n",
-       "      <td>[-1430.3687770265578, 2010.636902403954, 203.9...</td>\n",
+       "      <td>[3093.590125261905, 1510.8160607519264, 3157.4...</td>\n",
+       "      <td>[3602.9624193302416, 2536.19597510887, 1135.05...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -805,53 +805,53 @@
        "499  (a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, ...   \n",
        "\n",
        "                                             KPIDemand  \\\n",
-       "495  {'a': 90, 'b': 369, 'c': 23, 'd': 0, 'e': 73, ...   \n",
-       "496  {'a': 0, 'b': 307, 'c': 316, 'd': 0, 'e': 0, '...   \n",
-       "497  {'a': 35, 'b': 305, 'c': 293, 'd': 0, 'e': 0, ...   \n",
-       "498  {'a': 0, 'b': 233, 'c': 0, 'd': 461, 'e': 201,...   \n",
-       "499  {'a': 0, 'b': 0, 'c': 254, 'd': 285, 'e': 290,...   \n",
+       "495  {'a': 0, 'b': 0, 'c': 1, 'd': 0, 'e': 216, 'f'...   \n",
+       "496  {'a': 586, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f'...   \n",
+       "497  {'a': 0, 'b': 0, 'c': 56, 'd': 346, 'e': 406, ...   \n",
+       "498  {'a': 0, 'b': 0, 'c': 514, 'd': 0, 'e': 0, 'f'...   \n",
+       "499  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...   \n",
        "\n",
        "                                              KPISpend  \\\n",
-       "495  {'a': 0, 'b': 369, 'c': 2173.134679223996, 'd'...   \n",
-       "496  {'a': 0, 'b': 307, 'c': 651.9404037671989, 'd'...   \n",
-       "497  {'a': 0, 'b': 305, 'c': 325.97020188359943, 'd...   \n",
-       "498  {'a': 0, 'b': 233, 'c': 0, 'd': 369.1639329707...   \n",
-       "499  {'a': 0, 'b': 0, 'c': 242.98510094179971, 'd':...   \n",
+       "495  {'a': 0, 'b': 0, 'c': 1, 'd': 0, 'e': 216, 'f'...   \n",
+       "496  {'a': 586, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f'...   \n",
+       "497  {'a': 0, 'b': 0, 'c': 56, 'd': 1360.3531211347...   \n",
+       "498  {'a': 0, 'b': 0, 'c': 514, 'd': 0, 'e': 0, 'f'...   \n",
+       "499  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...   \n",
        "\n",
        "                                    KPISpendOverDemand  VelocityOfMoney  \\\n",
-       "495  {'a': 0.0, 'b': 1.0, 'c': 94.48411648799983, '...            39.50   \n",
-       "496  {'a': 0, 'b': 1.0, 'c': 2.063102543567085, 'd'...            19.00   \n",
-       "497  {'a': 0.0, 'b': 1.0, 'c': 1.1125262862921481, ...            24.16   \n",
-       "498  {'a': 0, 'b': 1.0, 'c': 0, 'd': 0.800789442452...            27.93   \n",
-       "499  {'a': 0, 'b': 0, 'c': 0.9566342556763768, 'd':...            25.28   \n",
+       "495  {'a': 0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 1.0, '...            16.09   \n",
+       "496  {'a': 1.0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f'...            14.88   \n",
+       "497  {'a': 0, 'b': 0, 'c': 1.0, 'd': 3.931656419464...            28.76   \n",
+       "498  {'a': 0, 'b': 0, 'c': 1.0, 'd': 0, 'e': 0, 'f'...            34.34   \n",
+       "499  {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': ...             3.51   \n",
        "\n",
        "                                       startingBalance  \\\n",
-       "495  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "496  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "497  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "498  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
-       "499  {'a': 570.0, 'b': 1690.488462001112, 'c': -166...   \n",
+       "495  {'a': 1397.2279590304938, 'b': 919.89307291706...   \n",
+       "496  {'a': 1397.2279590304938, 'b': 919.89307291706...   \n",
+       "497  {'a': 1397.2279590304938, 'b': 919.89307291706...   \n",
+       "498  {'a': 1397.2279590304938, 'b': 919.89307291706...   \n",
+       "499  {'a': 1397.2279590304938, 'b': 919.89307291706...   \n",
        "\n",
        "                                          30_day_spend withdraw  \\\n",
-       "495  {'a': 0, 'b': 177, 'c': 0, 'd': 380.3278659415...        0   \n",
-       "496  {'a': 0, 'b': 546, 'c': 2173.134679223996, 'd'...        0   \n",
-       "497  {'a': 0, 'b': 853, 'c': 2825.075082991195, 'd'...        0   \n",
-       "498  {'a': 0, 'b': 1158, 'c': 3151.0452848747946, '...        0   \n",
-       "499  {'a': 0, 'b': 1391, 'c': 3151.0452848747946, '...        0   \n",
+       "495  {'a': 817, 'b': 383, 'c': 281, 'd': 2576.04463...        0   \n",
+       "496  {'a': 817, 'b': 383, 'c': 282, 'd': 2576.04463...        0   \n",
+       "497  {'a': 1403, 'b': 383, 'c': 282, 'd': 2576.0446...        0   \n",
+       "498  {'a': 1403, 'b': 383, 'c': 338, 'd': 3936.3977...        0   \n",
+       "499  {'a': 1403, 'b': 383, 'c': 852, 'd': 3936.3977...        0   \n",
        "\n",
        "                                        outboundAgents  \\\n",
-       "495  [c, i, m, i, b, c, i, l, external, e, a, a, i, i]   \n",
-       "496  [l, c, l, j, b, h, b, e, c, d, c, p, i, external]   \n",
-       "497  [m, b, j, m, a, external, f, c, external, m, k...   \n",
-       "498         [h, h, i, m, h, m, h, j, i, e, b, g, d, f]   \n",
-       "499  [e, m, g, k, f, i, c, h, o, o, k, d, g, external]   \n",
+       "495         [k, m, j, f, c, e, k, o, k, p, g, j, d, c]   \n",
+       "496  [l, o, p, external, o, m, a, k, a, o, external...   \n",
+       "497         [o, d, o, k, l, g, e, m, c, m, j, j, f, j]   \n",
+       "498  [k, external, h, f, i, g, k, c, c, g, f, i, c, l]   \n",
+       "499         [l, k, g, j, a, f, l, h, j, f, o, f, b, b]   \n",
        "\n",
        "                                         inboundAgents  ...  \\\n",
-       "495  [j, external, l, l, h, m, o, o, a, o, h, h, i, i]  ...   \n",
-       "496         [k, j, e, d, k, g, b, e, p, g, m, m, k, j]  ...   \n",
-       "497         [g, i, m, k, e, h, l, l, i, m, a, d, i, b]  ...   \n",
-       "498         [j, e, c, j, m, f, j, i, k, d, f, f, b, m]  ...   \n",
-       "499         [d, a, o, g, p, d, j, c, l, l, m, m, l, a]  ...   \n",
+       "495  [g, k, o, j, external, b, a, h, k, i, j, l, g, c]  ...   \n",
+       "496         [h, c, i, c, m, c, g, b, e, k, m, c, c, i]  ...   \n",
+       "497         [g, a, l, o, a, m, m, l, m, j, e, d, a, f]  ...   \n",
+       "498         [j, i, a, j, k, m, d, f, j, k, f, k, l, e]  ...   \n",
+       "499  [e, external, g, f, o, i, o, b, c, h, a, a, o, l]  ...   \n",
        "\n",
        "                                        fundsInProcess  \\\n",
        "495  {'timestep': [], 'decision': [], 'cic': [], 's...   \n",
@@ -875,18 +875,18 @@
        "499       100  [a, b, c, d, e, f, g, h, i, j, k, l, m, o, p]   \n",
        "\n",
        "                                          agent_tokens  \\\n",
-       "495  [703.0, 1927.5761232713448, -2581.075082991195...   \n",
-       "496  [703.0, 1774.0761232713448, -2907.045284874794...   \n",
-       "497  [703.0, 1621.5761232713448, -3070.030385816594...   \n",
-       "498  [703.0, 1689.6580897567273, -2990.030385816594...   \n",
-       "499  [927.339751973192, 1689.6580897567273, -3029.0...   \n",
+       "495  [1371.5511663962209, 1304.8160607519264, 3067....   \n",
+       "496  [1078.5511663962209, 1510.8160607519264, 3442....   \n",
+       "497  [2278.64406597355, 1510.8160607519264, 3414.44...   \n",
+       "498  [3093.590125261905, 1510.8160607519264, 3157.4...   \n",
+       "499  [3093.590125261905, 1510.8160607519264, 3157.4...   \n",
        "\n",
        "                                 agent_native_currency  \n",
-       "495  [-1654.70852899975, 2248.5549359185716, 651.94...  \n",
-       "496  [-1654.70852899975, 2095.0549359185716, 325.97...  \n",
-       "497  [-1654.70852899975, 1942.5549359185716, 162.98...  \n",
-       "498  [-1654.70852899975, 2010.636902403954, 242.985...  \n",
-       "499  [-1430.3687770265578, 2010.636902403954, 203.9...  \n",
+       "495  [1880.9234604645571, 2330.19597510887, 1045.05...  \n",
+       "496  [1587.9234604645571, 2536.19597510887, 1420.05...  \n",
+       "497  [2788.0163600418864, 2536.19597510887, 1392.05...  \n",
+       "498  [3602.9624193302416, 2536.19597510887, 1135.05...  \n",
+       "499  [3602.9624193302416, 2536.19597510887, 1135.05...  \n",
        "\n",
        "[5 rows x 22 columns]"
       ]
@@ -954,7 +954,7 @@
     {
      "data": {
       "text/plain": [
-       "0"
+       "23"
       ]
      },
      "execution_count": 11,
@@ -1036,7 +1036,7 @@
        "    <tr>\n",
        "      <th>95</th>\n",
        "      <td>96</td>\n",
-       "      <td>21.41</td>\n",
+       "      <td>12.79</td>\n",
        "      <td>16500.00</td>\n",
        "      <td>198500.00</td>\n",
        "      <td>1500.00</td>\n",
@@ -1044,17 +1044,17 @@
        "      <td>0.00</td>\n",
        "      <td>3.00</td>\n",
        "      <td>8.00</td>\n",
-       "      <td>-251.65</td>\n",
-       "      <td>16153.53</td>\n",
-       "      <td>3180.47</td>\n",
-       "      <td>2237.60</td>\n",
-       "      <td>56.60</td>\n",
-       "      <td>-942.87</td>\n",
+       "      <td>-1451.11</td>\n",
+       "      <td>18194.36</td>\n",
+       "      <td>2081.82</td>\n",
+       "      <td>2015.40</td>\n",
+       "      <td>14.96</td>\n",
+       "      <td>-66.42</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>96</th>\n",
        "      <td>97</td>\n",
-       "      <td>14.46</td>\n",
+       "      <td>24.53</td>\n",
        "      <td>16500.00</td>\n",
        "      <td>198500.00</td>\n",
        "      <td>1500.00</td>\n",
@@ -1062,17 +1062,17 @@
        "      <td>0.00</td>\n",
        "      <td>3.00</td>\n",
        "      <td>8.00</td>\n",
-       "      <td>-265.55</td>\n",
-       "      <td>16139.63</td>\n",
-       "      <td>2263.33</td>\n",
-       "      <td>1913.20</td>\n",
-       "      <td>8.07</td>\n",
-       "      <td>-350.13</td>\n",
+       "      <td>-1294.82</td>\n",
+       "      <td>18350.66</td>\n",
+       "      <td>4124.56</td>\n",
+       "      <td>3285.20</td>\n",
+       "      <td>21.05</td>\n",
+       "      <td>-839.36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>97</th>\n",
        "      <td>98</td>\n",
-       "      <td>17.58</td>\n",
+       "      <td>21.78</td>\n",
        "      <td>16500.00</td>\n",
        "      <td>198500.00</td>\n",
        "      <td>1500.00</td>\n",
@@ -1080,17 +1080,17 @@
        "      <td>0.00</td>\n",
        "      <td>3.00</td>\n",
        "      <td>8.00</td>\n",
-       "      <td>-46.55</td>\n",
-       "      <td>16358.63</td>\n",
-       "      <td>2864.87</td>\n",
-       "      <td>2800.60</td>\n",
-       "      <td>8.79</td>\n",
-       "      <td>-64.27</td>\n",
+       "      <td>-1336.96</td>\n",
+       "      <td>18308.52</td>\n",
+       "      <td>3758.32</td>\n",
+       "      <td>2205.60</td>\n",
+       "      <td>66.20</td>\n",
+       "      <td>-1552.72</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>98</th>\n",
        "      <td>99</td>\n",
-       "      <td>11.75</td>\n",
+       "      <td>20.86</td>\n",
        "      <td>16500.00</td>\n",
        "      <td>198500.00</td>\n",
        "      <td>1500.00</td>\n",
@@ -1098,17 +1098,17 @@
        "      <td>0.00</td>\n",
        "      <td>3.00</td>\n",
        "      <td>8.00</td>\n",
-       "      <td>-77.95</td>\n",
-       "      <td>16327.23</td>\n",
-       "      <td>1780.46</td>\n",
-       "      <td>2094.80</td>\n",
-       "      <td>5.57</td>\n",
-       "      <td>314.34</td>\n",
+       "      <td>-1273.16</td>\n",
+       "      <td>18372.32</td>\n",
+       "      <td>3531.91</td>\n",
+       "      <td>2682.40</td>\n",
+       "      <td>8.81</td>\n",
+       "      <td>-849.51</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>99</th>\n",
        "      <td>100</td>\n",
-       "      <td>14.91</td>\n",
+       "      <td>10.78</td>\n",
        "      <td>16500.00</td>\n",
        "      <td>198500.00</td>\n",
        "      <td>1500.00</td>\n",
@@ -1116,12 +1116,12 @@
        "      <td>0.00</td>\n",
        "      <td>3.00</td>\n",
        "      <td>8.00</td>\n",
-       "      <td>-53.25</td>\n",
-       "      <td>16351.93</td>\n",
-       "      <td>2328.69</td>\n",
-       "      <td>1862.80</td>\n",
-       "      <td>18.12</td>\n",
-       "      <td>-465.89</td>\n",
+       "      <td>-1283.46</td>\n",
+       "      <td>18362.02</td>\n",
+       "      <td>1833.99</td>\n",
+       "      <td>1736.60</td>\n",
+       "      <td>32.98</td>\n",
+       "      <td>-97.39</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1129,11 +1129,11 @@
       ],
       "text/plain": [
        "    timestep  VelocityOfMoney  operatorFiatBalance  operatorCICBalance  \\\n",
-       "95        96            21.41             16500.00           198500.00   \n",
-       "96        97            14.46             16500.00           198500.00   \n",
-       "97        98            17.58             16500.00           198500.00   \n",
-       "98        99            11.75             16500.00           198500.00   \n",
-       "99       100            14.91             16500.00           198500.00   \n",
+       "95        96            12.79             16500.00           198500.00   \n",
+       "96        97            24.53             16500.00           198500.00   \n",
+       "97        98            21.78             16500.00           198500.00   \n",
+       "98        99            20.86             16500.00           198500.00   \n",
+       "99       100            10.78             16500.00           198500.00   \n",
        "\n",
        "    totalDistributedToAgents  totalMinted  totalBurned  run  substep  \\\n",
        "95                   1500.00         0.00         0.00 3.00     8.00   \n",
@@ -1143,25 +1143,25 @@
        "99                   1500.00         0.00         0.00 3.00     8.00   \n",
        "\n",
        "    AggregatedAgentCICHolding  AggregatedAgentCurrencyHolding  \\\n",
-       "95                    -251.65                        16153.53   \n",
-       "96                    -265.55                        16139.63   \n",
-       "97                     -46.55                        16358.63   \n",
-       "98                     -77.95                        16327.23   \n",
-       "99                     -53.25                        16351.93   \n",
+       "95                   -1451.11                        18194.36   \n",
+       "96                   -1294.82                        18350.66   \n",
+       "97                   -1336.96                        18308.52   \n",
+       "98                   -1273.16                        18372.32   \n",
+       "99                   -1283.46                        18362.02   \n",
        "\n",
        "    AggregatedAgentSpend  AggregatedAgentDemand  AggregatedKPISpendOverDemand  \\\n",
-       "95               3180.47                2237.60                         56.60   \n",
-       "96               2263.33                1913.20                          8.07   \n",
-       "97               2864.87                2800.60                          8.79   \n",
-       "98               1780.46                2094.80                          5.57   \n",
-       "99               2328.69                1862.80                         18.12   \n",
+       "95               2081.82                2015.40                         14.96   \n",
+       "96               4124.56                3285.20                         21.05   \n",
+       "97               3758.32                2205.60                         66.20   \n",
+       "98               3531.91                2682.40                          8.81   \n",
+       "99               1833.99                1736.60                         32.98   \n",
        "\n",
        "    AggregatedGapOfDemandMinusSpend  \n",
-       "95                          -942.87  \n",
-       "96                          -350.13  \n",
-       "97                           -64.27  \n",
-       "98                           314.34  \n",
-       "99                          -465.89  "
+       "95                           -66.42  \n",
+       "96                          -839.36  \n",
+       "97                         -1552.72  \n",
+       "98                          -849.51  \n",
+       "99                           -97.39  "
       ]
      },
      "execution_count": 14,
@@ -1180,7 +1180,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -1203,7 +1203,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -1313,7 +1313,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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DjYQQ0uJwySBCmoRxvAghhLQua1p4KeU4IbLl4ffiTyi8CCGErFnh1dXVhVAoRJFRhFIKoVAIXV1dq90UUoRlWRRehBDS4qzZRbKHh4cxPj6OmZmZmt8bj8fXtTDp6urC8PDwajeDFEHHixBCyJoVXu3t7di7d29d7x0ZGVmTxUXJ2oaOFyGEkDUbaiRkrUHHixBCCIUXIU2CwosQQgiFFyFNgqFGQgghFF6ENAmlFAuoEkJIi0PhRUiTUEpRfBFCSItD4UVIk7AsCwAYbiSEkBaGwouQJmGK/VJ4EUJI60LhRUiToPAihBBC4UVIk2CokRBCCIUXIU2CjhchhBAKL0KaBB0vQgghFF6ENAk6XoQQQii8CGkSFF6EEEIovAhpEgw1EkIIofAipEnQ8SKEEELhRUiToPAihBBC4UVIkzChRq7VSAghrQuFFyFNwjheXCibEEJaFwovQpqEcbwAhhsJIaRVofAipEkYxwug8CKEkFaFwouQJkHhRQghhMKLkCbBUCMhhBAKL0KaBB0vQgghFF6ENAkKL0IIIRRehDQBe5gRoPAihJBWhcKLkCZgd7sACi9CCGlVKLwIaQIUXoQQQgAKL0KaAkONhBBCAAovQpoCHS9CCCEAhRchTaFYeHGtRkIIaU0ovAhpAsWhRi6UTQghrQmFFyFNoNjxAhhuJISQVoTCi5AmUOx4ARRehBDSilB4EdIE6HgRQggBKLwIaQoUXoQQQgCgzcudi8g5AEsAMgDSSqkjIrIFwD8B2APgHIDXK6XmvWwHIasNQ42EEEKA5jheL1NK3aCUOpJ9/H4ADyul9gN4OPuYkHUNHS9CCCHA6oQaXw3g7uz/7wbwmlVoAyFNhcKLEEII4L3wUgAeEpFjInJn9rkhpdTl7P8nAQx53AZCVh2GGgkhhACAON2JN2znIjuVUhMisg3AtwG8A8DXlVKbbK+ZV0ptdnjvnQDuBIChoaHn33fffQ1rVyQSwYYNGxq2P9I41uu5SafTSCaTBc8Fg0F0dnauUotqY72el/UAz40/4XnxJ806Ly972cuO2VKsCvA0uV4pNZH9Oy0i9wN4AYApEdmhlLosIjsATJd5710A7gKAI0eOqKNHjzasXSMjI2jk/kjjWK/nZmpqCuPj4wXPdXV14dChQ6vUotpYr+dlPcBz4094XvyJH86LZ6FGEekVkT7zfwC/CuAEgK8DeEv2ZW8B8DWv2kCIX2CokRBCCOCt4zUE4H4RMcf5olLqmyLyEwBfFpHfBXAewOs9bAMhvsAppM+1GgkhpPXwTHgppcYAXO/wfAjAy706LiF+xMnxUkohnU6jrc3TiD8hhBAfwcr1hDSBcpNY6HoRQkhrQeFFSBMoJ7yY50UIIa0FhRchTcAp1AhQeBFCSKtB4UVIE6DjRQghBKDwIqQpUHgRQggBKLwIaQoMNRJCCAEovAhpCnS8CCGEABRehDQFOl6EEEIACi9CmgIdL0IIIQCFFyFNQSmFTAYo1l8UXoQQ0lpQeBHSBBIJC6973SG85z37Cp6n8CKEkNaCi8QR0gRmZtpw4UIXJic7oBSg147nkkGEENJq0PEipAnE4/pvMhnA0lIw97xSCqlUapVaRQghpNlQeBHSBGKx/P9nZtoLtlF4EUJI60DhRUgTSCQk9/9i4ZVMJpvdHEIIIasEhRchTSAezwuv2VkKL0IIaVUovAhpAibHC6DwIt7CCRuE+BsKL0I8RimFRCL/U5uZ6SjYTuFFGglzBgnxNxRehHiMFl7M8SLNgcKLEH9D4UWIx1iWVeB4MdRIvITXEyH+hsKLEI8pDjUWC69UKlV2LUdCaoWOFyH+hsKLEI9RSiGZLAw1FussDpakUfBaIsTfUHgR4jGWZSEez//UUqkAFhaCBa9heIg0CsuyOLOREB9D4UWIx2jHq/Cnxjwv4hUUXoT4GwovQjymOLkeoPAi3kHhRYi/ofAixGOKc7yA0lpezMshjcKyLKTT6dVuBiGkDBRehHiMUiqX49XfrwdE1vIiXkHHixB/Q+FFiMdYlpXL8dq5MwGAwot4h1KKwosQH0PhRYjH2CvXG+HFHC/iFQw1EuJvKLwI8Rj7rMbhYWfhlU6nYVlW09tG1h8MNRLibyi8CPEYex2vcqFGgAn2pDFQeBHibyi8CPEY+6zGnTt1SHF2trR6PcONpBEw1EiIv6HwIsRj7HW8+vrS2LgxjXSa1euJN9DxIsTfUHgR4jH2RbK7uixs3apDisW1vCi8SCNQStHxIsTHUHgR4jF24dXRoWzCizMbSWMxEzToeBHiXyi8CPEYXcdL53h1dloYHKTwIt5A4UWI/6HwIsRj7I6XFl75BHs7FF5kpRjhxVAjIf6FwosQjykUXvlQY7HwYjkJslKM8FJKsS4cIT6FwosQj0kmLWQygkBAoa2tfI5XJpNhiIisCLvY4rVEiD+h8CLEY2Ix/bezU0EEthyvjpLXMtxIVoKyFYej8CLEn1B4EeIx8bj+29lpQURywqs41AjUJryeegp45zsVZmcb0kyyDrA7XszzIsSfeC68RCQoIo+LyL9lH+8VkcdE5LSI/JOIlN72E7KOiMW0C6EdL8HAQF54Fafh1CK8PvlJ4FOfEjzwQMOaStY4DDUS4n+a4Xj9AYCTtsd/BeDjSqmrAcwD+N0mtIGQVSMe16Ukurq08OrsVOjvTyOTEYTDbQWvrSXBfnpa/41EGtZUssah40WI//FUeInIMIBfA/CZ7GMBcAuAr2RfcjeA13jZBkJWm+XlvOMVCOifXCOKqM7P67+JRAMaSdYFdLwI8T9t1V+yIv4PgPcC6Ms+HgAQVkqZW7FxADud3igidwK4EwCGhoYwMjLSsEZFIpGG7o80jvV4bs6e7QJwJYA4Ll26BMuysHHjbgDdOH06ik2bZnKvnZ2dxblz51zt9+LFIwA2YHT0LEZGznvQ8jzr8bysF+znJp1O58T73Nwc2ttL8whJc+Bvxp/44bx4JrxE5DYA00qpYyJytNb3K6XuAnAXABw5ckQdPVrzLsoyMjKCRu6PNI71eG4uXLgAANi0qRO7du1CPB7Hzp2Cxx8HUqlBDA3ljefOzk4897nPdbVf43Tt2LEXR4/ubXi77azH87JesJ+b6elpXLx4EQCwbds27Nq1axVb1trwN+NP/HBevHS8XgzgN0TkVgBdADYC+ASATSLSlnW9hgFMeNgGQlYdM6uxqysfaiw3s7G2UKMCIAw1khwMNRLifzzL8VJK/Tel1LBSag+AOwB8Vyn12wAeAXB79mVvAfA1r9pAiB8wyfWdnYBOc7TneBVO6lVKuUqKjseB5WW9LwovYqDwIsT/rEYdr/cB+CMROQ2d8/XZVWgDIU3DCKPubpQk19dby8sk1gN5R40QzmokxP94nVwPAFBKjQAYyf5/DMALmnFcQvxALFZYTgKwV693Fl49PT0V9zk3l/8/HS9ioONFiP9h5XpCPCaRMMILVXO8gNodLwovYqDwIsT/UHgR4jFmrcbu7nyOl6leHwq1o3h8dCO86HgRJ+xrNTLUSIg/ofAixGOM42XP8eroKF+9vlbhxRwvYrA7XpZlFQgxQog/oPAixGPswss4XgAwOKgFVnGel5tlg+h4ESesosU/GW4kxH9QeBHiMfkcL8k5XsDKankxx4s4USy8GhVuZNiSkMZB4UWIh1iWhURC/8x6egodr3K1vFKpVNUQEUONxAmvHK9aFm8nhFSGwosQD1FKIR7XP7Nix6tcLS+lVNWBrtZQI3N9WgMKL0L8D4UXIR5iWRaSSWfHq1Itr2oDXa2hRoaKWoNigd2I825ZFq8fQhoIhRchHqKUsiXXO+d4lSuiWom5ufwAG49Xd7PoWLQGXjhemUyGSfqENBAKL0I8RCllc7wCjjleoVDtjletocZaFt8maxcvhJdlWRRehDQQCi9CPMSyLFuOF4ocL+dyEkDjhRcdr9bAi1mNDDUSJ5g3Wj8UXoR4iHa8tMvV01MYahwY0INZKNSO4nGtkkNlWUA4nH/sZlYjhdf6RylVMhgy1Ei8otEueitdYxRehHiIzvFyDjW2tysMDSVhWYKJic6C91USSgsLgFKC3l7dUaXTgiKjo4R0Ol3ihpD1hZMDwVAj8YpGC6+FhYWG7s/PUHgR4iH2Ol69vYECxwsArrpKL+R45kx3wfOVOjUTZuzvT6OzU4upauFGDp7rHydh3ahQI68dUkyiwZWb5+1Ttdc5FF6EeIjd8SpeMgjIC6+xsa6C5ys5XkZ4bdyYRnu7HmyrhRuVUhw81zlOwouhRuIVjXS8LMvC4uJiw/bndyi8CPEQe45XcXI9AOzbpxVTseNVyWUwN4YbN2bQ0aHDS24cLyZIr2+8dLx47ZBiGim8lpaWWspZpfAixEPsocZKjlex8ALKu16Fjpd74dUqnVqrUqvjFXe51hSvHeJEI0ONxu1qlTxUCi9CPMQeanRyvPbu1YPf+fNdSKUKRVm5O8q88MrkcryqjaEcPNc/tQqvSCTiar8MNRInGul4GeHVKtcZhRchHpJMWshkBIGAQnt7qePV3W1h584EMhnBhQvuZjaaUGN/Px0vkqdcXaVy5z0ajbqqxWRZFpRSLeNGEHekUqmG1PJKJpM597VV+igKL0I8JBbTHVNnp4JIqeMFAPv2mQR7dzMb7Y5XR4f7WY3M01nflBNG5c778vKyKzFlXtMqgyKpjhHjjbgm7En1rXKNUXgR4iExralyIcFixwsArr7a5Hm5m9lohFdfX7qm5PpW6dRalXIiyum8K6UQj8ddXRPmNbx+iMFca40ozGwXXq3iqlJ4EeIhdscLKOd4Oc9sLNephUJ6X/39eceLOV6kFuGVSCRgWVZNjhcdU2Iw11QjromlpaWS/a53KLwI8RDjeHV1abHk5HjVWkR1fl7vi7MaiZ1aQo2x7IXp5ppgqJEU0ygxHo1GC/bRKtcYhRchHmKcqM5s3ryT43XllXEEAgrj451IJPLCrLzjpf/WWrmejsX6phbHywgvN44XQ42kmEYJr+Kiqa1yjVF4EeIhxY4XUOp6dXYq7NqVgGUJzp3L53mVmzVkZjX29WVyjlelUCMdi9agFsdreXkZAB0vUh9eCS/meBFCVoyT8KplZqOT6xUOa+HW3592NauRA2drUEs5CYYayUpoRHJ9JpNBNBotea4VoPAixENMcn0lxwtwP7MxFgPicUFHh4XOTuVqViMHztbAbagxk8nk8gdrCTUyVE0MjXC8lpaWSm4WWqWPqiq8RORhN88RQkqJx7XI6rYZWSuZ2ZgvJZGBCFzNaqTwag3chhqN2wXQ8SL10Qgx7rQodquEGtvKbRCRLgA9ALaKyGYA5jZ9I4CdTWgbIWue4uR6oPLMxmpFVI3w6u/XHZ6bWY2mMzMFD4PBoOv2k7WDW8fL5HdVeo/Tfim8iKERjpeT8GqVa6ys8ALwnwH8IYArABxDXngtAvhrj9tFyLrAmAvd3ZVzvHbvjqOtzcLERCdisQC6u51zKExi/caNusNzM6vRPrhSeK1f3AqvWhyv4muHEGDlwiuRSDgust0q11jZUKNS6hNKqb0A3q2U2qeU2pv9d71SisKLEBeYvqXLlrrl5Hi1tQG7d+sXj40Vzmy0Y18uCICrWY32PIpW6dhaES9CjfbtvHaIYaXCqzip3tAq11glxwsAoJT6lIj8IoA99tcrpe7xsF2ErAtiMZPjlRdbTo4XoMONY2PdGBvrxqFDOhxULtRoHK9akusBJkivZ9zOarQLr2qhRl47xAl7+kI6nUZbW1UpUUC8zJ1iy+d4GUTkHwFcBeAJAOYXrABQeBFShbzjVXlWI6CF17e/XTizsZrjVUs5CaB17ihbETehRrNUkNO2avvktUMMxYK8UcKrVa4xN9/WEQDXqnK3U4SQstTmeOnOyJ5gXy3HyzhebmY1Aq3TsbUi5YSXfVKFPbG+0nsMDDUSJ1bqhFZyvJRSZW9O1wtu6nidALDd64YQsh4xSwBVKycB5Iuo2ktKZDKZggEvFNIdXj7Hy53jZfpGDp7rl0oiypx3e5jR/rybfSqlWiYURCpjv24aKbyA1gg3uhFeWwE8LSLfEpGvm39eN4yQ9YBTHa9yd3PDwwl0dKycpgwAACAASURBVFiYmupAJJL/adpdr1Aov0C23q/eVyXh9dRTAbzsZTfg3nu3MU9nHeO18HLzetIarMTxSiQSZfMRgda4xtyEGv/c60YQsl4xjldXV/VQYzAI7NkTx7PP9uDMmW5cf72e+ZNKpdCVnRaZr+OlO6feXv0TrhRqfOKJIGKxII4d60Mms7Siz0P8SyXhZQbHYuFVS6jRPG5vb6+zhWS9YL9ual02qJLbBVB4AQCUUv/RjIYQsh4xfUxPT154VcpfuOqqGJ59tgdjY3nhZZ/ZODdX6HgZ4VXJ8TJj7dJSsCU6tValmouQyWRKaifV6njRMSXAyhyvasKrFUKNbmY1LkHPYgSADgDtAKJKqY1eNoyQ9UA+x6u64wXkK9iXm9k4P6/3Y3K8enqC2eMo5GscF2LyqZeWghw41zHVQo3FbhegxVqlZGaGGokTXgqvVrjG3Dhefeb/on+drwZwk5eNImS9EI9rkeXe8ao8szEvvNIIBoPo7Q1mj1O+DXnh1dYSnVorYgRUOdLpdMVyE+XKATiFGgmh8FoZbpLrcyjNAwBeUe21ItIlIj8WkZ+LyFMi8qHs83tF5DEROS0i/yQiHXW2nRDfYxwvu/Cq5Hg5zWw0ocZMBlhcDEBEYcMGnWtjcsfcCK/FRYYa1ytucrWcHK9q76XjRZxYyaxGCi93ocbfsj0MQNf1qvzNaRIAblFKRUSkHcD3ReQbAP4IwMeVUveJyKcB/C6Av6296YT4H6dQYyXHa8eOJLq7MwiF2hEOB7FpUybneIXD+jV9fRkEg0B7e3tu8e1KoUbTz8ViQcTj679Ta0XcCK/iGl72bW732wqDIqlOvcn1mUymqlBrhRwvN47Xr9v+vQLAEnS4sSJZdyySfdie/acA3ALgK9nn7wbwmhrbTMiaQCmFZFL/xHp78z+1So5XIADs36+diZMnewHkHS8zo7Gvz9TwandVTmJ5OS/ITAFWsr6oVt86nU7XVS28eBtzBElxWLuWa6Ka2wW0hrh3k+P1n+rduYgEARwDcDWAvwFwBkBYKWXO1DiAnfXunxA/Y1lWLsfLreMFAM99bhRPPrkBx4/34kUvWsx1bPlSEqZqfYerUKOpng8A4bC0RGXoVqOaS7C8vFx2QGOokdSCZVk4fboL3/nOZrz1rZPo6sqvjFCNZgqvTCaDeDyO3t7ehuyvkbgJNQ4D+BSAF2ef+h6AP1BKjVd7r1IqA+AGEdkE4H4AB9w2TETuBHAnAAwNDWFkZMTtW6sSiUQauj/SONbbuYnFXggAeOKJH2FyUttSTtP67ezeLQCGcOxYG6ampgAAjzzyCH7ykwEAh9HVtYypqSnMz89jYaEDwEsRjaYxMvJDx/2FQgcA6EnI588v4D/+o/YKMevtvKwnIpEIfvjDH7oa1JwIh8NlB81EIlG0ckIIZ8+eres4rcZ6/c0opfDpTz8HIyNXYGBgCi996SQeffRRVzdzqVSqamgyFArh9OnTK25nIpFAMBgsmTjih/PipoDqPwD4IoDXZR+/Kfvcr7g9iFIqLCKPAHgRgE0i0pZ1vYYBTJR5z10A7gKAI0eOqKNHj7o9XFVGRkbQyP2RxrGezk0qlcot1fOyl70IQ0P6/3NzcxUHr5e8RP8sT53agsHBIQQCwMGDB3H5cg8AYGAgiKGhIezbtw+xmH6tZbWX/d4CgXzR1Pb2bXjRi3aj0ySHuWQ9nZf1xsjICI4cOYJnnnmmrvfv2bMHAwMDjttGR0cRjUZzjzdu3Ij9+/fXdZxWY73+ZhKJBJJJLfKTya0YGrJw4MABV87SmTNnEDbJqmXYsmUL9u7du6I2Tk5OYmJiAkNDQxgeHi7Y5ofz4ibHa1Ap9Q9KqXT23+cBDFZ7k4gMZp0uiEg3tFA7CeARALdnX/YWAF+rq+WE+BzLspBImFBj/vlKOV4AMDSUwuBgEouLbbhwQQukZDJZEmrUOV56X25DjZzZuD5ZSUIyk+tJLViWheVl3e+Ew/rGz22eVzNCjYuLi5iYmKipXc3GjfAKicibRCSY/fcmACEX79sB4BEReRLATwB8Wyn1bwDeB+CPROQ0gAEAn6238YT4GaVUTnh15euhVrXkRXSeFwAcP74BgHbPQiHdIeUXyG5HR4feVzotKDf2xmL5n/nSUptvOyNSP80SXrx2iJ4hq0PTtQgv3R9WmAVk23+9JBIJjI2N5R7XupxRs3AjvN4G4PUAJgFchnarqibcK6WeVErdqJQ6rJR6rlLqv2efH1NKvUApdbVS6nVKqepngpA1SCqlkMkIAgEF+/J21RwvADh82Aiv/MzG2dnC5YLa29sRDAbQ2akHx3J9mlmoG6DjtV6pNquxEkyuJ7VgWVbuZm5+XgsvNwKn2uLY9v3X264zZ84UXKN+FV5uZjWeB/AbTWgLIeuK5WXdgXR2Fs4idCO8rrtOV2Ixwks7XkZ46RlEgUAAgUAA7e06pBmPF4Y0DcZ1A6qv1+h2dhLxF145XqxcT4rRocbaHS+3kz/qvcYuXLhQUiR4zQovEdkL4B0A9thfr5SiGCOkAsvLWihpRyovftzM/jlwYBnBoMKZM92IRgPYuDGVy/HauDGN9qyFJiLo6NDHcXK8lFK5khYAsLhYOdS4vLyMjo6OmpPvyeqyEuFVi+OllIJlWa5uHgzJZBIdHVygZL1gz/Gan9f9kBvh5SbMCNQnvKLRKEKh0gyodDrty/I5bmY1PgCdh/WvANZ/SVlCGkQsZoRXob3uZtDq6lK45pplPP10L06e7MHAQDJX/LS/P5MTXoFAAB0dutNz6tfstcQA43iV7wATiQRSqRSF1xrDC8er0tqOtQivWCxG4bWOSKctxGL+crxMMr0T6XT+RtUvuPn1xJVSn1RKPaKU+g/zz/OWEbLGMa53V1eh8HJ792US7J98cgNSqVRugey+vnRuINPCS+/fqV9zFl7lO7ZEIlFQPoCsDbwQXuWeb/TafGRtEYnk+7PFxSDS6cYKr2oLvhezuLiIpaWlstv9OCHEjfD6hIj8mYi8SESeZ/553jJC1jh5x6vwebduwXXX5RPsM5kMwmEtvOyOl4igvb18qDGRsJDJ2JPr26oKr3Jr+hH/4kWosZLjVQvlFucma5OFhfx1oZRgcbHNVS5VLQK8lmvs0qVLFbf7Mc/LTajxOgBvhl5j0XzjZs1FQkgZTI5XvY6XSbA/caIXSgHhsBZsfX2F1nmlWY2RSOHgubQUrHgHmEgkEI/HfZkXQcrT7FCjW9yWECBrh0ik8PH8fBu2bk1WfE86na7JecpkMiUV550Ih8NVHfq1KrxeB2CfUqryN0sIKcDc4HV3157jBQA7dyaxeXMK8/PtOH26G6mUoLPTQleXKhBeJn3G6YYyGlXZ11hIJgOuHC89XTyGnp4eV+0kpaTTaVcDR6PwopxErSFIJ2odcIn/WVwsvNbC4TZYVrzipItaw81ubySquV2AP4WXmxHgBIBNXjeEkPWGibAUhxrdOkn2Qqo/+IFea9Few8vQ0VHe8YpG9baBgRREFKLRIJLJ8rk7ZlBluHFlLC8vr8iFqhW/Ol6pVIolKNYZTo4XUDmXqlbh5eaamZubcxXG9qPwdyO8NgEYFZFvicjXs/+4zA8hVTA5XsWOl4i4Fl+mkOoPftAPoLBqvcE4Xs7Cy7TBQm+vfu/CgvOx7CGh1UiwX4lr4zf0enbNCxI0M8erloEsmUxSeK0zioWXm5mNjRZeSilXbhfgT8fLjRf+Z7b/C4BfAnCHN80hZP1gKsY7VWYQEVdCw+R5PfmkXjrIvk6jweSQVRJeXV0WNm7MIBJpw9yc83FXW3iFw2Fs3ry56cf1gmQyiWQyiS77WlEeshLhVa42VyNCjalUCpZlMWdwHRGJFJ5HL4RXtet5dnbWde6gH4VXVccrWzpiEcBtAD4PnVT/aW+bRcjaJ5/jVbrNbZ7XtdcuIxBQuZmJfX35qvWGSuUk7MKrr08PmIuLQceOLZFI4PLlDszPtyEejzc1VAYAk5OTTT2el6wlxwtwFlONCjXW+h7ib+zlJIB8EdVKAqfRjtfU1JTrfa2pUKOIPCdbRmIUwKcAXAAgSqmXKaU+1bQWErJGKTerEXCf59XTY+Hqq/N5DPaq9YZKocZ8LTErlx9Wbr3G2dkk3vCGg3jHO66GUqqpeV4XLkTw7ndvw/e/vz5qNBvHq1msVHg5vb8Rwst8BxRe64elJVPWRvcn1XK8lFI1/xYqXS+1zpRda47XKLS7dZtS6iVZscVfDyEuMaHG7u5SkVVL5W+TYA/ozq64CriJZlUKNXZ25h2vpSXnmY1nzihEIm0YHe1FOBxsarjxC19I4sEHB/Dxj1N41UM9+XFPPdWDy5f1teR0PTQi1HjmDPAXf3ElzpxZH+eVANGo7s927tQdTrVQo9vFse0vqXSN1SqkzLJBfqJS7/9bAC4DeERE/l5EXg6d40UIcUE8bhyv0m215LscPpzPZt24MePgeJUPNRrTqtjxcuokL13Kd07PPNPTVOF1/Lg+doWVP9YMlmUhlUr52vGam2vD2952AO95z76y729Ecv2Xv9yLr31tK+691/2NBvE3RnhdcYU74eUmzBiPC26//RA+9rFdACpfz8W/K6WAD394N2677bmYmXFeGshv4cayvwal1ANKqTsAHADwCIA/BLBNRP5WRH61WQ0kZK0Si+kOyqkcVr2Ol1Oo0STvOzle+XCn3fEqDTValoWpqbwYHB1tnvBaXl7GqVPaebl8uSmH9BQzMPhZeI2PdyKTEVy+rC8er3K85ub0NRUO+8txqBdW4bc7Xvr6rhZqDIfDVfd5/nwXzp/vwne/qytX1eJ4PfTQZjzwwCAmJzvxL/+y1dV7Vhs3yfVRpdQXlVK/DmAYwOMA3ud5ywhZ4xghtFLHa/fuRM6tcnK8KoUa7Y5XpVBjIpHA7Gx+v6OjPUgmk025U5yfn8fYmP4QU1MB+CwqUDNGcDWzs69VeE1P63MdiQShlDfCy7Ks3GoLFZbSq0gzxasbZmdnV7sJq040qs+p3fFSyvl6j8fjmJubc7FPvej23Fw70unK15j9mpidbcPHPrY79/j++7fCqctac8LLjlJqXil1l1Lq5V41iJD1gnG8VprjFQgAR47okWvnzoSD41U+1GjaUC25vlh4PfOMtuma4XqNjS3lZkYlEoGydcbWCmZgMCHHZlCr8DLnOpMRxGIBx/evNMcrlUphcVG7IfUKr1gs1vTZteWwLMuViFjvGMdr8+Y0urszSKUCiEYDZdIXLrnKr1pe1v2hZQnm5tornnPzm1IK+Mu/vBILC2140YsWsGdPDLOzHXj00dJ672sm1EgIWRnGgXISXrXWNPrAB87jM58ZxbXXLjsILyk4nh3jeBUm15fmeCUSCYRC+f1euNCFSCTgufCKxWI4ebLwu1jr4Ub7jCu/Cq/p6fwEjUjEeZZruX2aul/V0MIrmD1GTc0r2Idf3IpIJFKwukMrYlkWlpf1Oe3pyWDTJt2PhMNtJX3K8vIy5ufnXe03Egnm/j893e7K8XrwwS149NFN2LAhjT/5k/N47Wu1G/nVrw6WvMcv15CBwosQjzCzGnt6VuZ4AUB/fwY33BCFCMqGGk0yv53CchKmjlflUGMwqPfz7LPe53mFw2GMjRUWOpuYqDyo11oTqNnYQyF+C5UZ7EnItQovwJ3rlUqlsLTUlj1GHY2Ev4TXQtaKXUl71rpo08JL9109PRY2b84Lr0wmU+Buua0sD+RDjYB2Y6vleE1Pt+N//k+diP+ud41jaCiFX/u1EDo7LTz22EZcuNBZ8h4/QeFVAb+dLLK2yJeTKN22kire5ZLrnYVXPtTY16c7SafkervwuuEGPUqOjvZ4XsvLnt9luHChclhgaWnJ1wOY3fFaK8KrllAj4C50k0wmsbCgB1QTnqoVPwqvesNWmUxmVVaEaCTlHC+TKmC+m2g0mvu+3GD2CWg3trLjlcJHPnIllpba8JKXhHHbbSEAOv/1V39Vh4Lvv78wyZ6hxjVELYqdkGIaVcfLTnHVesAuvEpfn1+oW1V0vOLxBEIh7U68+MW6wxwd7UE6nXYsVphIJDAzM7Oi+jiJRAKxWCzneO3dqxs7Pl5ZVC0vL/tmMHai2Y5XPedgZiYfanQS4sDKHa94PIVIxDhe9QuvRn6H8Xgci4uLdb3P/A7qvfYSiURNhT/9SLHjlRdehTMbJ2qsC2MS9gF9U1Dp2vvqVzfgBz/oR19fGh/4wAXY72Ff+9oZAMDXv74ViUR+g9/6CwqvMiilEAqFmlq9m6wvTB/b21v6M6vX8SoungrkhV0iUc3x0oNlJFKY46WUwvx8GvF4EF1dGTzveToTenTUOcE+EolgdHQUFy5cwPHjxzE9PV1XArTJ/zCO1wteoI9bLdQYi8V86yQppQo6eb+2043jZZ77/OeH8Md/vBd2reVGeIVC+ddEIvUNNY10vCKRCJ555pm6XCe7e1Nve+ziba1iWRZisbzjZQ81Aia8vISl7GyKeFzwz/88iNnZystC20ONMzPlQ43pdBp/93c7AADvfvdFDA4WnotDh5ZxzTXLWFhow8MP59d9pfBaIySTSSilMD09vdpNIWuUeFz/vJzKSdTreBWHGYFqjpdzqDGVyndsyWQSMzO6Y9y6NYX9+2MIBhXOnetCPC4FNx+hUAjPPvtsTrilUilcvHgRJ06cwNTUVE0CLBwOY36+DfPz7ejtzeDaa/WAWCm5Xinla+FV3C4/tjMaDRSEdsrleJnnvvSlITz00BacOtVdsq0SoVD+WlheXt1Q4/z8fO66rWd/jRBeiUTCdX5iM0KSqVSq5pB9aY6X/i7sjpfd7frGNwbwV3+1G3ffvb3ifguFV0fZCRyLiylMTnYiGFR45StLZ5iKALffrl0ve5I9hdcawdyZzM3N+e6kkbWBsbqdHK9GCq+uLn0cpz7dhDu7uiy0tem7VMsSLC7m3TH7jMaBgTQ6OxX27YvBsgSnTuUT7CcmJnDu3DnH0FYqlcL4+LjrWUzJZBLRaDTndu3dG8vdvdoLuZZ+nnhTyzTUSrGj4cdQY3F170rJ9UohNzPx9OmVCK/66rPVK5TsTE1NYWxsLPc91bq/TCaDiG12QL35QrWEGmdmZuo6Ri3UE8aNxXT5iGBQob1dFcxqBPSNmV00mt+3vVSNE0bMAfnr00l4jY3p423fnkQwWLIZAPCKV8yhtzeDn/98A06f1scvTvxfbSi8ymB+IEopFs0jdWGEVyPKSRichFc+1Fj6euN4dXbqTsyEG+36yJ5Yv3WrHpQOHNAu18mTOsE+kUhgcnKyavvchuaNg2Dyu/bti+eE1+RkmR7Vtn8/OklAabtSqZSvOnygML8LcA41mseJhCCV0sPEmTN54eVGfIRC+c+tlKDWrI1MJgPLsuo+19/8JvDWty7h3LnxgudrFU5LS0sF59DrUGMmk8H8/Lzn1009onZpSbeptzcDEZQIr+L8uYsXtR1vd7ScsG83xX2dxP3YmL4ud+wo/z329Fi49VadcO9X14vCqwx2S3ilScSkNckLr9JtzQo15sOdusMyRVSrCa9rrtGj5OhoDyzLch2ScCu8jINg7oj37Yvljj0721Y2ZGn276dO1I6TSPCbSDQDm8HJ8TKPTQFUoFB4VbseMpkMFhYKr/Fai6iac1zvuX7vexO4++4+/PznGxz365bi2XkrCTUqpapeD8bV9Tq/uB7Hyzjl3d3692lyvEyosZiLF/Xv216nywm78IpE2hCLBRyvsXPn9PF37KjcbpNk/+CDAzk3zU8zGym8ylBcBNFtCIUQQ6Ucr0Y6XibUWMnxMsLLadmgwlBjoeNlEuzd4nYtOxOOMIP5vn1xbNiQQWennq4eCjnf0Zr9+03MGJwcDa/bWm+ocXBQXxOVHC8TZgRqE172qvWGxcXaJmAYgVOL8DdcuHARY2P6+MWiYKXCq54BPJPJ5N5XLc/LbF+qt9y/S+oRXnbHC0BJOQk76TQwMaHd1VqEF1B+ZuP587o/qya8rr46jsOHI4hGg3jssY0A/HWzRuFVhuIOlEn2pFaSyeY4Xt3del/FY75SColEoePltFC2k+P1nOfEIKJw5kx37nO4IZPJVA2n2F9z9mze8RLJH//CBedOko7XyjGhxgMH8sLLadF0s80wNdWRm51YTQglk8kC0QYA4XBt4sl+jms53xcvXsSpU6HcYG7CYIZaHdziY9dz7dnFVrXfh3ltpN6qsy6pT3jpv8WOV/F3DOjrJZ3W10v1UKN+3bZtuj3lZjZevOhOeAHAnj3xgrb5qc+g8HJAD1iFP45oNLrmi9+R5pIXPaXbGut46b/FfahlWTnXzeR4Oa3X6CS8enosXHllHJmMFDgdbqgWIjG/I/uMxqEhfVzjuDkJr0QikWtzOp32zRp+dtaS43XggH68tBTMJtLn95N3vAoHVHMtNNPxKv5/JcbHxzE9PY3x8XzlcidR4Na1cioCqpSq2fWyXxe1CC8vU1zS6fSKHa++vgyCQYVoNFhyg2byu4DqjpeZZWvEUnnhpc9lpRwvw4YN+ZtMgMLL95hSEsX40fXycwXvViadBtJpQSCg4KCV6na8nOp4lZvVaBdeTqFGk1xrWVZJqBGoP9xYTXiZ7WfO5Gc0Gh1qhN/4eOkgXbxfP3WkQGkNL4PfHC8jsg8d0l+6GRTtQjaf41U4YBrhVU142NdpNNhn0rqh1npoExMTmJqaAoAC4bWwUCq83F475aqv13rt2cWW21BjJpNxHbqvh3pKdRTneDkl2Bvs5yAaDaLcUKVU3hG78kojvJyr11+6ZIRX9evBXrcQYI6X7yl3RzI/P++rzj6TySAcDq92M4gDsZjuoDo7FZzMrXocr7a2Nsf3mVBj8R1nKmUhlQpARKGjQ7en2PEy13qx4wV4J7yM43X2bD6/y2BmNl6+XDpIm/1++cuD+P73N/pO0JRrj9/aaZLrr7vOLGCt/9oHOiPCzFqLZv3Oehyv9nb93oUFbx0vI7qAfFI34Ox4udlfOp0uG+WodRB3G2osjrZ4medVT6jRfB09PfnzX1y93mA/B0DhskB2EglBJiPo6LBwxRW6PdPTpTle8biFmZl2BAIKQ0PV220cL3N9+2nspvByoNwPQ1f49k+S/eLioq8uJpJneTkvvJyox/FyCjMC5ctJRKO64+rqsnLirzjHK5FIIJUSLCy0IRhUuZwNoHbh9b3v9eNP/3QP5ucr36UbAWWf0Wgwws+piGosFsP4eAc+9rHd+MhHrvSdoFkt4VVLOMqy8iL74EH9nJPjVZxcf+CAPkfGpXST42VCPMPD+rmlpdqF1wMPDOBnP9tQtZ8zMwYN1UKNbvrNYtETDgfxxjcexJe/PLgix6uS8Cr+HF4KLxOur0VEmqWfenry59IUUS3+nu2hRv1eZ+Fl3K7e3gwGB8vneI2NpaCUYHAwhbbKhfABUHitOSpZwX5a8iEcDvvKPiV57I6XE/U4XuWFl0muL9xnNGrakO8k7es1mnUYzRqNW7akYNeD11yjB9tTp7qRTldv76c+tRMPPjiAH/2ou2wnZ88rsc9oNBjhNTVVOtNueXk555LNzHRgack/HSlQvm/wk0AMh9uQTgfQ35/Gtm36uWg0CMsqFFPm/0Y8/cIv6M9Wi+NlQny7d+vnal0i8dw54MMf3oMPfWiPK+Flp1qo0U2/WTwOHD++Ac8+24NvfnPLioRXpZISxcf0KsHenqdWy2cxOtDueJUrKWHOgXFL7esx2jFOmBZeui1OocaxMf34iivcjcHFwstPYyWFlwOJRAI/+MFGvO99+3Idj8EvnahSCgsLC766mEgeu9vkRDXHa2hoqESclRNenZ2mTo3ArlWM8LK3wb5skHG8jANiz+/Sr81g584EkskAxscLayEVEw4Hc8VQw+G2suFGe+jGPqPRYIRXKNReUtIllUrh3Ll8+OL8eX8l15frG2p1FbzEJNYPDWUQDAK9vVa2uGmgjOOlB9PnPlehtzeD+fl2zM21lV3SxaDX7NN95+7dkt1XbTleFy7o901MdGJxsbI4KBYsjXC8is+n+Tzz8201nc90Ol3y+nI398U5XV7lednbU8uYFo2WOl5OOV6WlT8HJmG+vOOVX4IoL7xKHa+zZ/Uxt293117T19HxWiMkEgl8/vPb8fDDm/HDH24s2OYX4RWJRApqwxB/YfpVpxmNQHXHa8eOHThw4AA6O/MDSDnhFQhIztWy3/g7C6/SUKNTfpfBhBtPn95Yss3OE0/khdniYnnhZZ53mtFob8PMTKHwMu87fz7/fVy4ULFJTaeSG+5lv1FLqNEIr+3b9XXQ36/fW1xSIp/jpQetrVsDuOoqE26s7no5OV61mDeWZWF6Oj9Qnz1b+fdi/+5jsQBCoXaI6M9Wr/AqPp/mu5iba69pEHe6LspdK06CzItwY70LuZtQY3d3aY6X/Xuenm5HMhnAli2pXD5WOeFlnt+wIVNUTqJQ2J87p/+6Saw3+7Pv30/LBlF4FaGUQjyeyC0Ia2Z7GfwSajSzbTir0Z+YHK+urvpyvILBIHp6enDw4EFs2bIFQHnhJSJob9edlL3fzrfBOdRohJe5xp2E18GDptCpe+G1sFDd8XKa0Qggl+MxO9teMAiZ/dkdL78Jr0oDmF9u2EwNr+3bzWQL/Xyx8CquXD8wELQJL30Oyt30pVIpxOO6nEpbm8L27PrIteiHVCpVsL7f2FjlcgT2a8UU7dy1K4FgUGF5OVgShl+J4xWNBhGNur/hXU/CyxjWvb32HK/SIqomsX7XrkSu9EQ54WVCjT09GXR1KfT1pZFKBTA7W9h3muKp9YYaAf+4XhReRSSTSVy+3I5IxCz6WTjYmfXDVhszm5GOlz8xOV7lhFclxytoW/01GAxi7969uPLKKwvcr2LMrEUnx8ueZ2YPNSaTLImFEgAAIABJREFUSaTTaVuosfRaMo7XmTP9ZY8NAI8/3pf7/+JisGx4JJ9YX5rfBQD9/Rm0tVlYWmrDwkJ+QDD7swuv8XF/dV8rEV5GBC8vL3s6acbMaLziCn1NGMdraanNMdRoxMbgYLDE8aokvMz7Nm2y0Je9NGopg1gsvC5c6KzY19mFjAlxDQ8ncm5McZ6Xm++3+DX2IqBTU+7HACcxVS7U6PS8F3le9YYaTQFdJ8fLnuNlEut37Yo7CiA7+eR6/Z3m12wt/H2b37vbUKOfhZeLuQGtRSKRd7sA5BKP7SSTSXSViyE1AftiqxRe/iQ/q9F5eyXHq81hys7WrVsrHs+Iq2qhRrvjFY1qEWQPNba1FeavmAT7M2c2Ip2G42yi5eVAwczHcLgtV+zULiKTyWSu43PK7wJ0XaCBgTSmpjowPp7GNdeYYywjHA4iHM4Pxpcu6VyjeovRNpJyNbwM5Qa3dDqN48ePl9zMDQ8PY2hoyPWx3WLO9RVX6Mf9WT1dLtRoZjUODrbj6qsLhdfCwgL6+vKC22AvJdHfr3LCy4Sp3FAsvC5e7EQqlXL8bRQnq9uF19RUB0KhdiwstGHbtvz5cVOHrPic2PN9Z2bcfxa3jlcymXS8qU+n04jFYuh2WgKjTupdFWB52WlWY2mo0Qiv4eFETlhVz/HS19/gYApjY92YnCx8/fi4fmxKTlTDLryU0n2LX4SXv24ZfUAikcCzz9qFV2l4Z7XDjfbaXRRe/mR5WXdM3d0rc7zcYhyvaqHGjg6Fzk4LmYwgEtHb7aHG4s598+Y09uyJIR5vw89+VjrIAsDx473IZCSXU2MG3eJwo/2xGbyvuqr0Dt+EPCcmdLuNG3T+fOHNzuRkh29CeOWKLtu3OxEKhRwHW69WyZie1mG44WF9/W3apJ8vXq8xP6tRn8tt29px9dX5mY1KAXNzc46f2V48dfNmZXO83IuVdDpd0PdevNhZ9jssLsFgwlx2x6s4z6ta9XmnY5nvAgCmp90LXrfCq9Js+ka7XvWHGgtFEuBcTsKI3127Eq4dL/M6k25gd7zSaWBy0kwMcdfetjagqysDyxLfLZRN4VVEPB7H6dOVhddqd/bFRVP9cjGRPEtL+pyUM0ZrdbyqYYpU2vtzo3OKZ1aacKMZHO2zGru6ukpE4S236Ovtu9/d5Hhsk991/fV6cFhYCGaPXyi87GLC1PDau7c0JJmv5SWwLKskv+uaa/TjyckO39zBVusTym2fnZ11fL6Wgbae5Ppdu/Q56u/X59q+diegHa9EQnJ5Wr29wNCQTpaORoOYmmrPCqzSGhF6nUZ9DW/eDGzYYD7TShyvrrLnulwpieHhBPr7y68lWKtDaRcOtcxsdBJUTiUlKgmvRud5rVx4lc5qdA415oVXufUaTY7Xxo36+siHGvOvv3QJyGQEW7cmy5boccKvtbwovIrQjlc+bOI34eVUTdlr4ZVKpapWIyeFRCL1C696HC+nUKM5ZfY6XkA+3Gg6I7vj1dnZWXL8W27RRYMfeWSz47Ifjz+uR9abb9YTPkw+TTnHa36+DeFw6YxGgz3B3uQ9AXnh9cIX6sF+aqoDiYR/HK9at0cikbKDbT1Vxd2QF176+tu0Kb9sULHwMqG1/n5dgLejoyOX52VuTkOhkGPbjajfssXueLkfboqF19RUR9mSEuVKSQwPJyou4lyr8LKHGt0Kr3Q6XXYCVHG7m+l42dtey9qTxjlyqly/sNAGy9KlJOzJ9dUdL73P/v4AAoFALiQ8PZ0/Z6dP62O4ndFoaDnhJSK7ROQREXlaRJ4SkT/IPr9FRL4tIqeyfzd71YZ6CIeTuHixE8GggojC/HxbyWDTyA6x1ho/TksEeS28kskkLl686Okx1huRiL5o6iknUY/jZYRXYagR2TYUO175PC/LyucxDgyk0NHRUSK8rrkmhu3bowiF2vHkk4X1vFIpwfHjRniFc/sFSmsSFc9o3LcvP6Oxs7MTw9kS58W1vIqF17XXRrFxYxqJRACXL/vD7a2WfpBKpUqcqXJul6Hx4SXB/Hw7gkGFnTu1qLELr+JQowmtmQR8u/AyoeJwOFwiLOw5Xlu2SM7xqkV4RSJpLC7q1RSGh/VFffq0s9Nh/+51SKoDIgrDw0kMDupjGhfWTq2hxkLHy11JiWpV6u1UEl56pmjp9nonehW33c2Ypt3nUserrU276JYlWFwMZm+YAti0KYW+vkzVWY3GCdu4Uc/ctlevN5/PFE91m1hv8GsRVS8drzSAdymlrgVwE4D/T0SuBfB+AA8rpfYDeDj72BcopfD00wEoJdi7N4EtWyxYlpRU5G2k8EqlUjh16pTrC8Jp0dZmOF6RSMTx7pY4E43qH3ylfNhy4qu+HC/9102o0b5e4+JiEOl0AH19aXR2KkfHSwR48YsnAQAPP1wYbhwd7UEiEcCePbHc9P1oNIhUShCPx3Mdp0m2B/JrNO7dG8+2ZyMOHjyITdmEIyO8TEkJI+BMjteePfFcB3zuXHNnGE9OTjr+3tz0CfbXZDKZqsuPuc3zchtqtIeU29r0tbd5c3nHy7hWmzbZhZc+Z0Z4KaUwNzdXcBwdajSOl+QcLzNou8Gs1TkwkMKVV5rcMuffi12QTE52IJMRbNuWwqZNXTBzUhrteM3NtbkSXrWsglKtUOrc3BxCoRDGx8dx6tQpPPnkkzh9+nTVNjhRj/DSxVzzpR/s2J1Fe5gRcJ5daCcvvAQdHR25UOP0dL56vfmdu02sN9jrFgIt4HgppS4rpX6W/f8SgJMAdgJ4NYC7sy+7G8BrvGpDrSSTSZw6Ze6q09i2TZ9su+VtXtcoTBjPjfjSnWFpToXXwsvsf2JignXDXGIS2ysJr3LhxpU4Xva+3PTjxaHGfGfUVlI81Ul4AcAv/qIWXo88srmgOv7PfqbtjBtvjKCjoz3njiwuBqGUyg0mdhExOalV4s6dCQwNDeHqq69GMBhER0cHRKSgiGosFkM8HkcqJZiY6ISIwq5diVyCbTON2EuXLmFiYgKnTp0q+R24mXBj7zfKJdXbabTjZcKM27bl+wszq3FpKVhSTsIMVps3l3e8gNJwo93xGhgI5Byv5eWA6/7DrNW5dWsKu3YZsef8e3EqJbFzZwK9vb0YGKiviGpxH69UaY7XSh0vuyhzUwz78uXLOHfuHKampnIlRy5eTCCdrq0oqFKq5Dy4E155x6u7u/DatU9isM9oBNwLr/7+QuE1O9tuE176tTt21Daxza+hxqaUkxCRPQBuBPAYgCGllFkCdxKA45xpEbkTwJ2AXj5lZGSkYe2JRCKO+7MsC088sQ8AsG3bZUxMbAEwgDNnoti8eabgtY1yf8yMLQA4f/58xTIV9tfamZ+fr2uwdotZrgUApqamyhbybATlzs1aIxTaCQCYn7+EkRFndRCLxRzdivn5eZw8ebKm46VSBwH04qc/PYHeXh3CunRpD4BNSKcXMTU1lXttW5u+ricmltHergXRxo1RTE9P43vf+16BO2W46qo0BgdjmJrqxve+l8CBAzqs+NhjOjy4b98ELl2aRG/vVZib68XY2ALS6Uju2rRfQ5cu6UUCu7sXcfr0VMFdezweh8gygP2YnBSMjo5CKYULF/TMye3bowiHJ9HfvwXAJjzxxDxGRkZr+q7qwb7GJFD6Wy13Lu2Ew+GcqLW7gZWwn7dypFIpV687fVpXMu3rW8LIyI8BAOfPbwFwGHNzaZw9exaXs4onFovh4sUdAADLmsPIyCgsy8pOzDiAsbFOXLo0BaPRL1++nHNwl5eXMT2traaZmWfwox9Noa3tpUinA/jOd0bKllixMzqqbbINGyLYtGkWwBCeeirh2DfYcwmfflrvfGAgjFOnTiEa3QxgK6anrZLvKBQKlXWMis9nIhFAKpUXftPTwPHjxzE6Wv7ai0QiOHHiRFlBNTMzg/HxcQB67Knkjjnxk58M4s///Dr8/u+fxhvfOO76ffYbIsPc3FzVfn15WaDUzejsTGN2tvC77O4eBrABZ89G8eyzej9btoQwNTWFeLwbwLVYWHC+nhcW9Jg7MzOGU6f0+sOBwHWYm2vDo49+Hx0dgqefvg5AN7q7pzE1NVOyj3IEAoMAtuDy5WVMTU1BRJDJZFZ9jPFceInIBgBfBfCHSqlFe3hFKaXEzEEvQil1F4C7AODIkSPq6NGjDWvTyMgInPY3PT2NS5f0ndwrX3kFlpbacOwYkMkMYmio8G7ruuuuQ4eJ76yA2dlZnD9/Pve4p6cH+/fvdxRS58+fd8wLGRoayuXHeMGFCxcwM6MvdhHBtdde61kds3LnZi0RjUbx2c/qWUj79u3E0aNXOb7u+PHjjnea+/btw+bNtaU+btmi3ZH9+58L8/V95jNaHG3d2lNQE2poyIx8m5BO6+t9xw7Bnj17cPDgQZw9e7YkfDQ1NYVf/uVFfOlL3XjiiX24+eYJWBYwOjoAALj55iD279+PHTs6cfEi0N6+DUNDvRgcHMTu3bvxzDPP5ByceLwv+56DOHr0YMFxTp8+DREtBsPhbmzLruT89NM6DHnVVWkMDQ1h3z6TwL+1ZB+NJhwOY2xsrERY9fb2Yv/+/QgEAnj88cerCq8rrrgCO3bsQDQarThg23nOc57jWCvLzoMPPuiq5lcyqcXQVVd15X5jpptJpXqwc+dOXHfddQCAY8eOQWRL9vVbcPToUSQSCZw4cQLbtycwOdmJVGp3ror49u3bsXPnTiSTyex1rW2uX/xFfY77+izMzwOHDr0Qw8OV61GlUil885taAA4PB3DokO5nZ2c34eabby4I0cdiMTz99NO5x4uL+jPu3x/AL/3SLyGVWsy+rqfkO+rr68NznvOckuNbloXHH3+84LnZ2cL+OBLpxtVXX429e/eW/RwjIyMYGhoqOzFJRPC85z0vu//CccAN3/mO7leOH9+No0evdv2+5eXlkhu7LVu2VPwsADA2pj9Hb6/C0NBQQc2/7du1AldqK+bm9HIIBw60Y2hoCJ2delss1uF4nSaTeix5/vP348CBNM6fP48tW1KYne3Arl2/gIMHN2B+Xt+0HTxYeh4rsW2bvnZENmFoSF+rS0tLqz7GeDqrUUTaoUXXvUqpf8k+PSUiO7LbdwCY9rINtRCP52t4HTnSnlvqwsuZjcV3QybsGArpu4Xx8XGcO3cOp0+fLhkMy+2j0djtWaUUE+2rkEgkkEiYJNTySfSNDDWaCvmFoUbJbiufXG8PNZobiXI5Zi9/uc5JevjhzVBKl4RYXGzD0FASO3Yk0d7ejuzqRrnQjhl07IPP3JwJeTl9ji5s3pxGIKAQDrcjldKfwSTWX3mldgVMjtfly20VBc9KQwvRaBRnz551PEY0GsXp06cRj8dd5VmZPqNaUr2dauHGWpKri5cLApzreOWr1ucT5AHkro/iPC8gHwEwnzGf46W39/aakF/1UKN9RuO2bVYu1OhUUqLYJTKz6fbsyaCjowNbt0r2uKW/qXL9ZqXEerOQvNscr0qhRntJiVrdrnA4iB/9SMeJjx9vQy059k7tdjOeLS6a2oT6r/3m2ynUaM6bvZyE088kH2oM5Fw3M7NxfFzBsoCJCf2alc5qBGorv+IVXs5qFACfBXBSKfW/bZu+DuAt2f+/BcDXvGpDrZw7l0Ek0oZNm9LYvbvDJrycq9c3Aqcf//LyMs6dO4fx8XFMTU0hFAph4f9n70uj47jOK28tvS9AYwe4COIGiqIokaIka6eGMkXH8irbkWM7lhM5ts8446NZMsmZLGcmnsQ+OZnFTjyJ48TxeBJbtmx5iWNrs6h4kWWtFCkuAFeQALGjG0Dv3VXz4+GrerVXdTdISsE9RwcU0F1dXfXqvfvu9333y+UcJ9mVzrsyP6gLCwu21ZWrYOCJ18VKrqfwjR3xstpJ6G2DzFYSbp+/Y0cenZ1VjI9HcPx4TGsTtHPnomY3QAsdX9lYLBYNY5eKVbq77b5HBJIEdHRQZSN7LTXHHhw0Ey9nL698Pu+ZsOwG5ul3wpXcLC0t+U5wrlQqqNfrjhsoO3gl2AdZRKhd0Jo1+u/4HC+aR8yu9US8WE/QkMVSAqC8Lr3VEe/jBUBLsM/lvBkCT7z6+9m9liTV1lLCycNryxZq7u1MvJzGjZt5am9vBeGwglJJQi7nveH1mpuJcAUlXk89lUG9zr5bPi/i5En/722UeC0usrFGVYo88SIT1fl5a44Xb2RaLFopB1W7ZjKSRu4pz2t8HJiYAKpVViVpzi3zwr864gXgVgAfAvBvBEF4Zfm/XwHwGQBvFgRhBMDdy/9/WeDVV9lAvuqqMgSBhV+Ai6t4XapjBD3++fPnL4sBfDmiXC6jUmFjJxa7OIoXEa9iUZ+YvBSvxUUpkOIlisBdd+mqF/l3XXcdU2XC4TA6O9lnkpeXoiiWfMi5OXJDt/seEe18AL2whRQvM/GanHQmXgsLCw0/p6zQxl+1sd/PqFQqmJ+f91SpslkJr73GvARbqXiZ2wUBxpZBqqoaEq8puZ6IF+CcYA8w1UsnXmbFC8vH9J4zeOLV26sgGpWxZg1bxIeHjUSGJyyqqjfI3raNjaP2dgmyrKBYtDbKrtVqtnOYW0VjOl3TKvimPVKN/NwbIo5Biddjj7ELS5uqZ5/1n3RuN6b9qHcLC1Qw5Kx4nTwZQ7EoIZ2uob1dv1fUh9GcYK+quoFqeztPvNg9GB8HKAIbVO0C/hUSL1VVf6qqqqCq6g5VVa9b/u+fVVWdVVV1r6qqm1VVvVtVVf/bvxWEqqo4epQ97Nu2sZt1MYiX31DI17/ejYce2qhVJvG4mKFGAlN1Lm3rpMsVfkONK2EnUSrpk4oT8eL7NdLY7uyseSpeALB3L1M6n3oqoznW79zJyAHz4BGXj60fgydexaKIUklCNKpq1W48aDLniZeqWolXZ2cVkqRidjaEhQX7Z7FR4lWtVjE8PNxyA9NqtarlSrrh05++Ah/+8FV44YUk6vW666IchHhRuyAyTwWYq7wgqCgWJdRqTKHRFS+9MpFgJF7GPM9sNrscdtUVIlK80iztR1u83cATr74+FZIkadYEw8PG9/Nz0OysjFJJQltbDWvXMqYny5Jjo2z6LDPciFcyWdfUnZkZwXUR97PAl8vl5S4B/ufSiYkQXnophUhEwX33sfH0/PP+1wC77+zVaxSwKl4RrkqCrvFrr7HrTmoXwamysVQSoSgCIhFGsCVJgiiKnOIl4PRpNh5XidcbEJVKBcPDbCK59lr2u4EBdnnMdhL0+lbAD2lSFOBv/mYAP/lJOz760S24cMGY1L+SxIufiM1YJV72MIYagylegiA0RLxo88kTL9rhO7UMclK83Fz1d+5cRFtbDaOjUUxNhdHWVtP8uMLhsCXHCzCOT17tsuOd4XDYMPHOzIQwOytjaUk2qA2SpPdsO3vWOj4VRUE+nw+c41Wr1TA8PLwiY7ter3t2gFBVaCHcb32LxWLdVK9GFK+1a/X7K4pAOs3GTD7P8rz0HC97xWtwsARRVHHuXNSgIpG6mc+LqNcFxOOKtiFIJqk1UTDi1d/PFOD168lE1fhanpTyjvXUc1SSJMd+jYD93OmW45VK1dHRobfIcRtffu5NqVQKPNYef5w9ZHfckcWuXayI5+WXg7VjsoPXmkZdi2IxBaIoGorL6LmkfC0iygQn4kVhxmSyrs17vKXEhQsiTp4kIST4mkvqvpOVxaXCKvFaRrlcxsgIk/d37WIP6Jo1xpYqPC4m8TpzJqrt1s6fj+KjH92C8+f1Qb+SxMttYlklXlYoioJqtdqw4tUI6QKAaJQdi09p8pNcHyTHC2D5GhRuBFh/RuJpLNQI7dh2oPyunh7n6xKJRAyKFxmnXnFFyUDW3ExUFxcXbfvhuaFer2NkZCRw2KeVmJwMac/600+3I5uVWkK88nkR+byESERBd7dxPkulGBmiPC8KNZrztAB2j6NRFWvXllGvC5bG5cz/y+h4zz4Dy8f0Jl6lUhXz8zIEQUVvLyNepKDwXl5m7ysiXoOD+jWRJAltbez7+M3z8lK8iMjNzYVc516/ilfQ8fajHzHidc89c9i6lRH5w4fDtonrdmiUeNEwjMfrkGXZkBJBxItAifUEZ+JFhqyKNh+Gw2H09FAOp4izZ9kXC+rhxX8u3+D8csAq8VrG3FxJaxW0cyflBwChkIJ8XkKpZFwoLibxolyaW27JYceOJUxMRPDRjw7hzBld6l0p8uV23FXiZQWNC1ICgipejRIv3UBVn31LJXZ8p1BjNisjn5cQDitobxe08/E6B2qaDUDbccuyDEEQNMXLrkULwFqtAPb5Xfp3iWjVYzMzIUuYkUCK1+io9RhkNOz3OVUUBSMjI5e8J+nx43qf2FpNxD//c6drgr1f4kUpCt3dFYTDRuKVTuv5N7zCTWSjnWtWQCoHqZyjo1ZTLrr3mYx+btQAeWnJmx1MTLCOIe3tNcRiLPy0fj2ba86c0ceVU2L9Js5ZwUvx8ku8iDAkk3Wt8KMVile5XA5UAHLqVBTDw3GkUjXccssCenuraG+vIpeTMTzsj8AFqebkQYpXPK5AkiQD8aJrTPAbaiTilUzq14pXvCYnRc48tTWhxssBq8RrGYcPq1AU1iooHmc3SRCAri42oMzhRn5n2Ch4Wd8NlEtz2205fP7zI9i1axHT02F89KNDGBlhkvpKEa9VxSsY6JpUKuzRSiScHzE7xatRI1xSvPjNsxPxikYVyLKiVUV1dVURjeoLqBfxuuGGRS1cSfldtCB7KV5uifX6+UU59/qwxUqCQBPxuXPW6xiUeJ0/f953i56VBBGvwUG2GH/nO10oFkuOz7fffBWykujpqVoIP+VfkaWEuarRrHgBMFg8mEHqAk/YUikKNXqfK+9aTws8fd6ZM/o87NQce2hIH3utJl6pVF1Td7yIl597o6qqbTcSJ1BS/d698wiHVQgCNNXrF7/wN9adztkrLG9WvERR1OaKWEwxVE87hRqJaBHICd+JeE1MyBgdZa9ZJV5vQOgVjcbB193NHrKVCDf6JUsHD+rVY4mEgs99bgRvelMO8/MhfPzjWzAzI79hidfU1BTOnj2LbDbbcEPYiwm9SolIj/NrW6l46cSLTfbMCdueeAmCrnoBxjCjn3MIhVR8+tOn8dBD57BtW2H5d+RWzV5jl8gMuFtJEJxCjWbFi0KNY2PG61ipVLRFWVEUXxukZmwnWgkiXg88MIGOjipOnYrh8OGEIykMqnj19FivBe/lRRtK1mtTgiSp4P1baZyQokHWATxI8erosIYaFxe9c5EmJvQNAREvspSYmAhpPUjN8w+RwKuuMp5TJlNfPi9v4mXXzJydt7z8PXTiNTfn3CjbTycDgv+enHyYUQ/3E/F64QXvsWDXLojgP9SoaHMEbRQFwah6kUJJcCJAupKoX6tQKIRUqo5IREE+L2oqZyPEiwoBCgUxkNfZSmOVeC3jyBE2gK65xnh3urvZjbtUxGtyMoTx8QgSibpWTRSNqvjzPz+Jq6/OI5eT8cILqUtGvFayQkRRFFy4cAEzMzM4efIkXnnlFYyMjGBqagrZbBZLS0soFouaP9LlAF3xolCj82tbqXiZfbx44kVhSB6U5wWwCkE+UdYP+bv11gV84ANTWs6VWfFyCjW6mafq3yViSK73Il7j48ZrZlYQ/Dynl4t6SwbO27YVcO+9rBr0O9/pcszz8ku8yMOrv9/6nFAuFq94kdqVTiuGvDpJkgxVhqQy8dArGvU3UgWrF8eo1+uaSzwRL0a+oFlKnDjBvrOT4rV5s3FZo5Cnn+R6p7FCYddUqqaFGrNZ5w2vVwP0RvDaa3GMjUXQ1VXRQvyATrwOHvRezoM2BuextERzWl2bp4x5XuzYiUTdEnokAmQmXmQlQXmGAJZ7tuqWEtWqgGSyZpiz/EKS2GerqmBR2y4lVonXMo4fZw/tddcZL0l3N3toLxXxojDjtdcugV8PIxEV27ezWWxmxj3Jsxl4SemtLrnnMTMzY/heJMufO3cOJ0+exPHjx3HkyBEcOnQIr7zyyoqei1/QAk7J9RdL8aJcMuIPtZqinYPZQBXQTVQBq+LlVtXoBFK8EgmmiJVKVt8kgE+udz5WNBpFZ2cVgqBifl7G+HgYkqRa8kacTFTNxMsrhEIFEZcauZyECxciiEQUXHFFCW9/O3O4f/zxDCYmmlO8eHsGM9raKP9Kz/EiotHWZj1+OBzWiJeb4kWeboB/xYuvaOQVL0APXx07xhZgniwvLYnI5WREowr6+43HDNIo24mA8zleenK9c6hxJYgXqV379s0b1gIiXkeOxDznwGaIF5HmREKxJV50XdatK1kqlr1yvCjcDeibOHKvB4CBAf3cJEkyzFdeuBzDjavEC0zCJSuJ6683Ppw9PUS8Wu9e72eyJ+JFJpU8KBwzO7tyxMvruCulFKiq6qvxL48grVhWCuYcr4uleJlzvAoFNm4jEQV2PMpN8RJF0dFjzAn0fkEAMhm20NnleflRvEKhEMJhEe3tNSiKAFUVsHZtGeZLQ8n1k5NhVCrsWbDLmfF6Ti8XtYvyNTdvLkCSgMHBMnbuXESxKOF734vYqsv+FS92fwYGrMcgZYoPNdpVJhLC4TB6eyuQZQXT02GLG7m51RCgK16Fgn/ixbzaJG0zQpYSx49bFS+9olG1jPfOTmfFyzwHO40VY3I95XjZhxqLxWLLK2NrNeCJJxjx2r/faH25Zk0FyWQNs7MhnDjhLim6zedOYVbC0hLNabr1A99Ym0Kw5vwuwNtOgg9nm93rAX2TxT4/FmiedFLbLiVWiReAc+dYIml7exWDg0aJQidel1bxciNeMzOhFQu1eZHDlVq05ubmAl9fs0N6s2iEzOq91y6u4mUONebz5C5tvzDzxMuseDVyHjxxo9weu3CjH8ULMCbYA9YwI8B23ul0DeWyiPFx9trZHd5gAAAgAElEQVRCoWB5FrzGkd9xduZMBO973zY88USwBuZ+cewYy+/askXPN3vHO9hm4tFHO20rLoMqXrxrPaG9XSde5lBje7s98ZIktuAD1nAjvberSx/ftLDS4u0Es+LF2xaQ4nniBHs2+fushxmtxI7aBtmNR7/ESw81GpPrifDzWAm164UXUpidDWH9+hKuuso4DgQBGBpiY+a559zna6/53O3v+Ty7jk6KF10XszIN+FG89PtGSfsUagSM+V1Bideq4nWZ4tVX2c+tW8sQReOD29vLJp6VMFEtl2t44IEhfOpTm2w9WBYXJZw4EUMopODqq607GSq5X0nF61IRr6BqF8DuR5AKIS8E7UdZrVahKMqyA7gAUVQRsg4bDa308TKHGvN5NqAozJjit5Swhhp54tTIefA7X7cEe7/Ei0+wB+yJF2D18rK7/61SvL7xjR6cOhXD44+vDPGixPqhIX1hvfvueSQSdRw6lMRTT03gxIkTOH36NM6ePYvz58/7Hu+U48WbpxKIeC0uypZQI6mXPKyVjWbiZVW8aPjl86JnU3OeeImiqC2ylLB94oTgmN+1aZP1+1HeoZ3iZa4s9yJeyWQdsZiCaLSOSkW07T3J2kIBtVow1dgN1BD77rvnbY2HKdz40kvux/Gaz92eFSJevOLFE6B7753FnXdmtdxEHk7kh3K8+FAjYKxsBIweXkGJ1+VoorpKvAAcPMh+bttmJS96o+zWE6+xMRWHDyfxs5+14cUXrf1TDh5MQFUFXHVVwTZBmle8VjLUWCoJFh8zwkoQr1wu13CVWSvDjUF3ruYwYySi2k6SBDvFq1WhRiJepHjF43GDqsUrXn19VhLYjOKlJ9gbv4uq6qFGt6pGdt7eiheghxvdiFcrNg+KAvz4x6z8z24u8IPTp6M4dcpZAh0e1olX23ITxWhUxVvewhayhx9OIpfLYW5uDjMzM5icnMSiD38GRdE3jmvWWAdkJsPGISle9XpdI0+8JQRBJ172eV7mPo2AHmosFkVXdd7cp5Hv5EBE7/Rp0dHDa+NG6zG7uthPO+JFn0mwm9NrNaBUkiCKKuJxZfm7UbW7YCBuxWIRhUIJ99+/Df/+39/Sskq606epYtPeZ043UnVfC7zWCXfiRRY59orXli1F/Pmfn8QVVzgrXnQM8zHb2oy/txIvo+IVZH7STVRXiddlBVK8duyw/s2NeHnFxL0wNaW/9+GHrRIAbyNhh5UmXox0Ae9+93Y8+OAQ7ObLlSBeExMTDb83m8225FqoqorFxcVAIVxzRaMdWeaxEs71lNBuJl7MwbtNez2veFFrLB5BEuypvxqBQjt8v0aAnNEFpNMqvHJj/SpeNCGPjrKKOLvS/FYoXgcPJjEzwwgHeZEFQT4v4iMfGcJHPrLVNtxWKgk4cyYKUVSxaVMJ/VyG+DvewYjXD37QqY2tIMjlZNRqItLpGtJp6zxmtpPgQ408eSKYiZc11Gh1vNcVL8n1+axUqtpc29vLxi4t7mQpceGCjPl5eysJO+KVTosIhRSUSlYjbMCbePEeXvTIOllKzM/PY3w8jFOnYjh5sg2HDiUcv2sQOJkIE4h4HTsWd+100FyoUc/xonsScpP0OXiFGkl1JYRCIc29HjAm16+GGt8gIMVr507rjenro0bZsmX34qexqBt4ceaZZ9otPRjd8rsAVkUiSSoWFmQUCq3P8apWq7hwIYypqTCOHUvgJz9ps7ym1cRLURTXicMLqqpibq75vutEqoM4mVs9vNy3u61UvCjUSOtGoWAlXmlOzyfFSxBU9Pdbx30QAmgOU1JTZbPC4Mc8lWAmXmbzVAKFGs+fF7U2QWa0IseLz+tqRPE6cKAdS0usU8Azz1hlpFOnYqjXBQwOlpDJRJBIJDSFcuvWArZsKSCXk/Gzn1mfQS9QmLG7u2q7UBIfN1Y1Wi0hCCupeE1P11GtikgmawbzYbOlxMiIfoyRkRiOHGFq4ebN1mP6bZTtZIpN1yKZrGubJbJOmJ83WkrMz89rJAlg971ZlEoCLlxglb3mVjyE9etLiEbrmJiI4OxZ5wT7ZkKNZHaaSFh9vLzglOCu53hZFS/++adQYyQSsbjmu0GW5VXidbniM58BPvGJaVx3Xdjyt2RSQjJZQ60mWnbwQHPhRp54KYqAb35Tj79UKoLW6f3aa+2JiChC85RpQiRyBC/7A8A//mOv5TV+SvGDEKlWlPW3ItxIJCqIm7k11Oj++tbaSYjL52BUvCjHS5IkpFIp7TPJQLWjo4ZEwnqizREv9tNc1ai3C/JWbfhQY0dH1WD4yoM3UXXKd/IyUfXaPPBhRgAoFiVtEfILchwHYJucT/ldW7YUEF2uyMgsS0aCANx+ew4ANIIRBBTCZJWh1gWLiNfiIh9qtDbIJoRCIQiC4Ohe76V4ud0Ls2s9wWwpMTLCfj82FsYnP7kZxaKE97xHtVW8mNrr7V7vL78rtvzdrO71hUIBpVIJp0/rpcwHDrT77qHohLNno1BVdr2d+IYk6UUZv/yl8xzaTKiRqledfLzcwJMf/noQ8cpkjPMN69dYRSJRR2dnVeu3Sdff7+fGYrFV4nW54p3vBD71qTmk0/YLEG/bYEYzxGt2lk1qlDj/ne90aVL4kSNxVCoiNmwoaoPODnRuk5Otv5XValVrNQIAL72UwrFjVn8Et9LpWq3mO1eqWCy2pDqzWCw23f6F7msjipfu4RU81Nhsjpc5uZ4UL2rxkVyWHqjlj9lKghCEeJlVFKfk+iCKlyzL2LiRjW2nvBbAaKJqJl6FgqjZwDg9p1QQ4QYKMw4MlLWdd5Bw49ycjOeeS0OSVIiiimefbbNU2B0/zp6roaEit7jrzGXzZnYNiEQFwS9/yVjPDTcsuhIvIkV8cj3vxUUQBAGhUEgL/U1OhrV5q1ZjxxEEFVxkG/E4U1fLZRGVivMzThvIzs6aLfEiS4mTJ0XMzcn45Cc3Y3Y2hN27F/HVr9oTeq+2QURGvKwkUqkaYrEYBEGwDTXSPMfn8Z07557X5weU3+UUZiRQuPHVV2XHeatRxataZfdOFFVEo/qm0e98FYmoCIUU1Gqiwd+PNjB2OV7hsIq//dtj+OIXj2shXno2/M5PsVhMm+tWc7wuQ8QcDJckSUJnZ+vbBrGQGBsIt96aw/btS1hYkPHDHzK5wCvMSNBJYevbBtVqNS1MIctscfra16yql5tikM/nfSfKtyJESGjWWqIZ4kUPuBfxMitegiA0ZF4KAPE4ex/lANFp86FGAFqe1/btedx2Wxbvf/+UrRlhaxQv4zH8VjQSrr4a+NKXjuGP/uiM42t4E1V+HNZqwIMPDuFd79qOXE5yfE79PL9PPskI0N6984ZKYr948skM6nUBN9+cw+7di6jXBTz9tDEExSfWk+IVj8e1f5OaQV5ffqGqwC9/yULMt9xiP5b5HC/dToIqE+3HYzgchiwDAwPsmo+PR7RjAEA6bfTTEgQgkSB/N3uiqygKJifJisKoeOkJ9mSiGsOnPrUJ585FsWVLAZ///HlH6xa//Rr9WEkwj7mwbaNsIl4UahwYYJu/ZsON1LmBGpM7gYjX8eNx27nUT/ssJ2JG9yweryMU0q8h36/RC3bKk57jZSVeALBpU8mQrL+qeL3B4E68Wq941Wo1bRLIZGq4//4pAMDXv94DVdWJFzUhdgLfxLvVxIsPNb7rXTMQBBWPPZbRWnoQ3IgXtfXxgyAkxwtzc3NN9XbU1auyr+tar9e11z33HFvoduxw3102W0nIg7gTEa9i0RpqBKDleUWjKv7X/zqJt71ttmni5VfxolCjV0UjIRKJ4Lrr8loFmR2YyaaKubmQIXH629/uxvBwHIWChLNno44Lip8w41NPsYXz7rvntXOh6kw/oDDj/v1z2LePLYhkhgkA9breKmjLloJhLiLVa+3aMqLROqamwshm/d+bkyejmJ0Noaurgi1b7BfdWAyQZaZoFIvKsoEqESD7z6IxY87zontObXp4ULjRzoIBsPfwIphDjY8/3oGjRxNYs6aMz31uRKvMtAMLNXr3a/QTaiTXdD7UWKvVUCgUlluo6QrVe95zEkDzxIuO55TnSOAT7O2iDH7mMaeCMbpnfJ9GQiPhRoKdcz3gnLQfhHgJgoBIJOLYoPtSYpV4LcMf8Wqdez0LwVHJdg1792bR2VnFyZMxvPBCyrOikUBVlytFvKi57nXXLWHPnixqNRGPPGJcOb0Ur1qt5uvcWtmouF6vN2VkyN9XP4SQf/0zzzBVaf9+94nSrG41GmYEeANVUrzYT7PiFY1GDQoVhY28zs0NTopXM6FGOlcvSJJuKUHu7EtLIr74Rb0qcGoq5PicehEvPsy4bVvBdS6ww/h4GAcPJhGJKLjjjhzuuisLSVLx/PMp7XqcOxdBqSSht7eCTEYxEGEiXqIIbNrEno8TJ/yrXrQJuPHGRYTD9ouZIACpFBsnuRwMilfGwbKM7rm5WTaRFDvjVVK8FhftleBqVa9odM7x0p+pjo4q/vIvh9HVVXOtrmtW8eJd62VZNhAvCjXSXDM7K2NpSUY6XcOePeOIRus4ejSBiYnGLEgAXUHzUrw2bCgiFFJw7lwUc3M1i9WI3/xZu/mO7lk8XrfMU0GJFxEgVdVDjUmTmxLv38b/juYEP58pyzJCodCq4nU5o1HFq9GqPl7xam+vIRRScd990wCAP/uzdVhclNHbWzG0SrDD2rVsMHkRr0ZsL/gcr+7uKt7/fqbKPfJItyFO73QNVFXVcq28SFW1WkW53Np+ec2EG/nv5Id40evPnw/jxIk4Eok6br314iletO7UagIUxTnUCMBgK+HU86yZUKOueDUXavTbj42ekYkJdh5f/nI/sln9WWUthRojXnyYURAQONRIZqt33plFPK6gra2ON71pAYoiaAn75sR6flzEYjFtsdm8mT1DQfK8KMx4000LrosVNSmmxUknUPavd7KU0BUvu89gPxcW7OeifD5v6dNIoH/39VXQ2cmSrj/3uRGsXcvu68UgXqmUrnjxjbJ54kWJ9YODJUQiCm6+meUd2lWyAox8uEX/6nVgdNSf4iXL+hixCzf6JV52G1Ze8WqWeNH1LBZFqKqwrKJZX2+eV/g12k9bs1Xi9TqA00IjCAK6u9mNs3Ovb7QKzxhqZMd497unIcsKTp1iA+zaa5dcDThDoRDWrGG30Mu9/sKFC4HPlZf+u7ur2LlzCVu35pHNhvDDH+qhEqfFq1AoaOE+L+L1xBMV3H77Tvz6r/8b/PZvb8L//t9r8IMfdGB4ONawCeHi4mJDTvZmmxA/ifp0DWiCveWWHCIR94mhlYqXIOhhxXLZnXjxthJ2ifXm13vBvOjxVY083/fTp5GHX+JFitfERBjj42F87WvsA/buZQvI1JQz8XJTrM1hRoA3zvRHvKixMd9f781vZv9+/HH2NyJeW7cWbFW+jmUmS4uq3zyvalXASy8xKeHGGxddyQk1w15aklCrMUdxQVAtISCC2b2eyIHueG99D6kaTopXLpdzJF56FR3wD/9wBN/61mFs3arPKc0QL6/kerKTSKXsFC9ZCzMCeliQ1Km77mLdL+zCjaoK/OEfDmLfvmu1yIIZFy6EUamI6OmpIJn0ngip68GxY3Fks1nDhttvRMSOePGKl3lu8OvlZbaUIOUrkbD/XubjmsURr/lSluVlGx1SWleJ1+sKRLzsJlsn7xcvVKtVg+IFsHytN79ZH/Re+V2RSARr1uiKl9t5LC4u4syZMwHPsaZNCF1dVQgCNNXra1/r1RZVPr+JB09YvIjXj37EckxmZ6N49tk2fPWrffijP7oSv/Zr2/ChD11l6+zvB6dOnQrcsNac5xBE8SLideedWc9wXSsVLwAIh9k5l0oAXe5IRLUcN51Oa5/drOLFNzEmxGIsh6xSETVPMyC44uUn1AjoJqoTE2F84QsDqFRE3HPPHO66i4iXfTNjwF3xMocZAV3x8lPVeOJEFCdOxJFO1zTlAwD27MkiHFbw8stJTE+HtPyuoaGCrfJO4cYtW9g5+CVehw8nUCxK2LChiO7uqutCxS9ORDTSafsG64A11GhWvIh883BTvMi/z4t4sb/VtNxWu7+bIYoi2tvZ3GhHvGij5TRG3HO8QlAU/fvoxIs9gLfdloMkqXjppZRFAX700S788Iedy/5s9gyXV9D8gPK8jh6No1arIZfLaX/zu/GuVCqWzSYRr1isdYqX3iDbnoi7KV5+PpeIG9+L9HLBKvHyAWqUbad4AY3leVUqNW2S4u0ifvVXp7R/e+V3RaNR36HGYrGIhYUF3z0QVVXF7CxbPFOpOuJx9nDs2zev5aJRmTpgbynB+3d5Ea/xcXb8D35wGH/2ZyfxsY+Na1Vkx4/H8bGPDeF3fmcDzp+3V2icUK/XcfLkyYYc6AmVSsVzt1gul5HNSnjllSQkScWtty54Eq9WKl6ATrzKZZ14RaPWZFjeVqJZxctpt2vXKDso8fJrlEihxmeeacePftSJcFjBJz85ht5eslqxV7xUVXV9ds1hRoAnXt67fEqq37t3HqGQvrgkkwpuuSUHVRXw5JMZLtRYtCWb0WgUsVhMy/E6dSoGP+IFPZ833shIn5syQcrW0pKkEY102llhoXGzZk0FoqhiYiKMSkXgFC+r2ptK0QJoPR6Z33qFGp3gpbp0dFAOm/14KhQKjukYvJ0EEa9wWEUiUUe9LhiUFLPilU7Xcf31rJKVN6A+ezaC//E/1mr/T8VUZng51puxaxe7uP/yL+1YWhIN4cYgEQ+z6kVkuZHketrkWYkXKV6NES+vMUHn1dbG1NtiUfL13FwMrBIvH6BG2U7hhUbyvObn2UObTNYMk/L27QXcd9803vzmOWzc6E5WIpEI1q5lg2tuLoRKxX5UlctljXiMjY35SmI39kyrcS0iVLz3vaR66Suo3TXgd01eqtPYGHs4N2/O4q67svjoRy/gs589he9+9xA+/vExRKN1/PjHGbz3vVfj859fY+n55YZSqYRTp075znOzW4y9wo3lchk//WkbFEXA7t2Ly+1F3EONK6V4sVCjnlxvd1zK82pW8XIibhRqooWuVmP/FgTVVg1xgh/Vi4gXEZj3v38K/f0VreXI5GTYtpTe7bm1CzMCcLWW4aGqOvG65x5raT8p2w8/3I35+RBSqRr6+yuO37ejowPJpIKBgTIqFVEL7bmBT6wH3MkJ715PNiAUfrQDJT+HQir6+ytQFAHj42Htfnd1WZ9PIl527SVzuRzyeRHFooRIRNHUJYJfdcMJnZ3s2XDq1+j2fJuT6+m7U54Xr36SQrVpU1V7vvfsYeFGUsNrNeAP/uBKlEqS5uHoRLzMRM4LV15Zwq5diygUJPzTP3Uil8tp6R5Biq/MxIvIciPJ9YkEMwJ3Il6ktpphnlvicWNuo59QIwBEIqHLrrJxlXj5QFcXIIoqcjkZ1ap1MW1E8ZpaFrYozMjj935vFH/6p6cdZX4CK5UNoa2thnpdwPS0/QDmQ2WqquL06dOeVgt8Yn1vr3Hxvu++GYTDCn7603Zt0rFTiSqVChSFWRzU63XH62T07zEeJxpV8eCDE/j2t1/DW986i2pVxFe+0odPf/oK1/M3Y2FhAefPn/f1WrsF2S3cSMoJH2YEvCsDzX9vlnhRb0gWanQnXpTn5US8/FY1Oi141JiYquNyORmqKqCzE7aJtE7wk+fFF6C0t1fxkY8w+3NqssvC8Nbn1O25tQszAnqniNlZ2dWR/NChBMbHI+jpqdimDNxxRw7RaB3nz+s+XaIoOBIvCjfqCfbu4calJRGvvZaAJKnYtYsxHbeFivfyolBje7v7HGEXbtSNV63jJ512VrwWFhYMapcgGM+3WcWrGeJlDjUCMIQb6ZiLixJmZ0OIRuu48kpJOyeaD37+8zaUSgL++q8HcORIAv39ZXz+8ycRj7NxYLbpAYIrXgDwvvexxeUb3+hBraZoJCqI4lWpVAwRCyLLdoqX17WnucZMvKiiMZWyfx9PvMLhcGClje8nebk1yl4lXj4QDku2uxtCI8SLSJId8fILWpRoF07tNswwK1zFYhFjY2Oux+bNU/v7jXH9TKamhUFffJE9NWayQg/tX/zFGtx553UYHY04Km3FYlGzAujstJ9genqq+K//9Qy+9KVjANgkFjTpfmpqylc7Ibv76Ua8KpUKikXgF79gE8wdd/gjXmbFq5WhRvK0ikSsORkAk+2ZO3RzoUan91OrGQo1Bg0zEvwQL0quB4CPfeyCloQcDqvo6KiiXheWFWHjfXVTvJ57jo3rPXuyhgKXeFxBJMIaLru1DaKk+n375myJZiymaG2AAJbfFYlEHFXSSCSCeDyu5Xl5WUq8+GIK9bqAq6/Oa9cjqOJlZwnBgxQIvnUQKV52zbUpuX5pyfgdS6USyuWyRrwonBtE8fL6ezotIRRSUC6Lto2y3Z5vuwpPs6UEwPttlZFMxrXk7t7eKrZty6NcFvHXfz2Av//7Poiiiv/2385gy5ZO7NrFxqFZ9VJV3krCv9XOnj1Z9PZWMDoaxS9/mdLCjUGLq3jVqxk7CTPxItVJN9u1fx8/Xu1yH/2OicuxX+Mq8fIBL/f6RkKNtP7Tw9sIaHfc08MG1cSE/aRtN6lMTU25VvzxHl59faplkF9/PdsCvfCCPfHK5/NQFOD73+9EtSri4MGkI/Gani4in6cQg/vkcN11eXR1VZDPSxgfD5bvBQCjo6Oe9ytoqLFcLuP559MoFiVs3ZpHXx/7Dn6IF7/QtkrxYjle7ooXwFQUp8nLT7k24Ey8urqIeOmhcMBfn0YefkKNiYSCffvmcOutObzrXdOGv+nhxmDEi9zCqUqMIAh6twinPK9aTc8Pu+ee+eX3CRgcHDSES/hCGqfEeh7t7e1anpeXpQRvI0FwV7z0BGQvKwkChZB4Ly+3qkZSNszEi+YhXvEC/BMvWZZ9WAs4VzaqKkt1cFIwabG2Ei/jZpyI14YNetun7mW3YAo3fvWrfVBVAR/+8ASuv76A3t5e3HgjG5fk3UiYn5exsCAv9yv0v07IMjRroocf7sHi4qJvL0Xj5+vjUw81Bk+uj8VituSnUCDiZX/v+LnF7tnwm+N1OVpKrBIvH/Dy8gpaNQcAMzNssDWqeIVCIW1h7+1lg2py0j/xAoDx8XHH4/M5XmvWCJZBfsMN7sRraWkJIyMxza18YiLsSLxOn2YTT3d3xdU+g3DVVex6HzsWvG+dqqoWY0Ez7BZkt6qn2dlZzTT1zjt1FcMPceFf07zixX76CTUC+qLgBD9E0Dm5nv3UiVdjipffysY//dMz+Iu/OG1pItzTw+7Z1FTYcv/8EC877yQ+3GiH0dEo5uZC6OsrY+vWAkRRxMaNG9HZ2Yl2bvW+5ZacVmLvZCXBI5VK+W4dRIn1RLwkSXIdjzzx8jJPJRDx4r289FZD1teT4lUoiIZUB6q844mXHfF3Go9+7AzcLCW+9a0uvPWtOzTPNR6Kois0bW36+diFGvmeikQUenp6IAiCZisBAFddlcdv/dYF9PT0QJZl3HQTG09mxYuvkPQzL/J45ztnEAop+OlP23DuXAgzMzOBq++r1aoWuSCyHNROIhwOQxRFRCIRzTbCmuNl/+V4c+dmFK9V4vU6hZd7PWsVEcygdG6OXfpGiRcfgiH3+qkp66Cq1WqOhIFc5e3A53gNDFgH+bZtecRidZw9G8X0NKuopAdbURQUi0Ut9Aa4E6/RUfY+WiS9sHMne1ApmToo3NQrs4cXDzsCm81mMTMzh5/8xJjfBfjLk+Jf07ocL1ULp7gRL68wnp/zd1K8zP0aiYA3Qrz8nEc0GsXAwIDl97qrvVXxcs45BEZH2bVZv95Kzry8vMbG2HsHB0sIhWRs2bJFK2bgG19Hoyr++38/hf/4H0excWPJU/FKJBJYv76GWKyO6Wnn1kFTUyGcPh1DPF7H9u1srHuRE6pC5BUvO/LEIxaLQZIkQ9sgut9uilehIGnzDtlIAHCsaCQ4LbTNEi/qxPHyy9YE93xegqoKSCTqiET09zETVXOokd2/DRvK2r0MhULo7OzE4GAJ27cvIZms4Y//+DQiEQG9vazv7e7dCiRJxfHjcUPRUCP5XYSOjhr27ZuHqgp45JFuTE9Pe7/JBqR60ZRpp3gJgnVjTqDNRDgcdszxItJvh1Xi9a8YkiRp8redpYRXWboZzDyV5OvWES87SwkiCxMTIVsp3Un94UON69dby/plWfcZI48tUhDy+TxUVdWqqtjnh1EqlWwJKhEvSob2wo03snNZCeLl1KvM7n21Wg1nz57F4cMJzM6GMDBQ1pKfAX/EpZWKFw2JYlEx5Hg1Suj8vM85x4v9JMWr0RwvQRA8CQnA8o26u7stryUyb2cp4aR4TU+HUCpJyGSqSKetKoGXpcTYGJmL1jA0NKQpQwBbiHhl67bbFnD//dPa39wgCALa2lJauHFkxH78k9q1a9eipgB6Ey82VhcXecXLW2ZJJFi/REFQMT4e8ZXjVSiI2iZtcXFRU7+c2gURnJ4PP88N69doJV4nTzKvNUAnzDz4ikb+nPhQI41tIkpbttQNz35vby8EAfirvxrG9753GIODZU3tAoC2NhlDQwUoioDDh/Wx0gzxAnRrou9+twu5XGPrDBEvUrwSCfv5xOke0DrF90yka0o/29qc58lwOAxBsC868RtqXM3xep3CK9QIBAs3mvs0NgKeeNFG3454FYtFPP10O+69dwceftgaWnLK86rVdPPUtWutfbMAa54XXYOlpSWUSoJhBzkxEYaqqpbFrlwuY2qKFmVv8ioIAm6+mT2Ex47FXSvLnFAsFh1ld7fwk1nxOnv2LGq1mqGakQ8JXHzFi/0sFlXNuNRN8fKC1/tEUXR8DSletMjRePfbIJuHuYzc6TWCIGDdunWG39OYMocaeYXWDLcwI0XbSnIAACAASURBVADPfo20gO/c2Wa7YLTbJE85LS5mpFIpz8pGs40E4J948cn1VCDhhkQigUhERU8PK2KoVkWEwyrsuDKveNG15+cfL8WrVaFG3svriSd0ac6OeJH6l0rVDHMgU7IYYZyfl1EqMTsNSVIxNGQ8z2g0ikwmg2hURTpdX06479X+LsuyVqzEhxubJV7bthWwffsSFhdlrdgjKCjcmM+TF5f965yIl53iRSFGPYTrTrxisZhtmNyNcPOh9VXF63UKURS15EYnE9WgxMvsWh8URuJFbYNkW8Xr5z9nE7Hdw+dEvEolvWHt2rWy7aS3ezeb2J9/nh2fV7xeeimFalXE+vXsujDiZa2wLBQKWkWjH8UrkUjgyisFtLUpmJsLOd4PLzjlvbkpl/x75ubmkM2SPw/ld2UNrw+S4yUIQqDG1HagUCNTvFaeeDmpXYCxbRAQvF0QD7+KF8CICU9snEKNbvfZLcwIePdrpAV882b7hSFjE4dzq2jkkU6nXSsbVVVPrCfjVMD9XgHGqkY3Swgz9Dwvff5rb1dsc5J04qUrXryz+sUONaqq3rYJYA3NzVxcJ17W3KbeXvYl5+ZCOHs2ClUVsG5dCW1t1o0CT7S6u7stVhlEvPgE+6AeXnb41V+lJPvuhjapAFO9SPEKSrzcFC8vOwlAJ15BPtP8N1EUNa+wVeL1OsJKKF56n8bGiBe/O3ZrG1QsFrUJ+siRhKVtRaVSsT33yUkViiIgk6kiGrVXvIaGCkgk6hgbi2BiIqQRr6WlJS2/a+/eeSSTNZTLInI5ydbagpQ1P8QrlUpBEIBrrmHf8/hxf+1TzHAKN7opXtVqFZVKBdVqFaOjowCAM2ciOHMmhnS6Zuk0EETxajbMCJhDjStPvNwWPHOj7EZDjYB/xYuwbt067bryyfWKomgbEz+J9bRpMMOc22MGEa8NG5zP1UyE/BYRRKNRbN3KvpNdZeOpU1HMzobQ2VnFxo36+XsRL97Hi8hyZ6c3EaQOCJTnxY5lv8LroUameJXLZcN94EONds9Dq5Prjx+PYXQ0io6OKjo6qqjVREvPRN7Dy3xOfX2SdjyeJNkRhUQigVQqZVG7APbsX3stmzsOHUqgVmMNpCcmIpBlBWvWBKua5+/13Xez7h8nTsS1vp1BMT8/ryleTonwTveAV7zYXMRaw1WrApdc7/zZjRIv8/nw4/tywCrx8oGVCTWy42Qywfs8AkbFa/16dqyZmRCqVZ3IKYqCQqGkES9FEfD889bthVn1qtfrXPiPHc9ukMsyNHPGF15IoVwua2E8Il5vetOCZnBpl2BvVLy8Q4000e/axSaARiobAWfi5ZWrVygUcObMGY3g/vSnTCq49dacpaIuSI5Xs2FGAKC1u1BgfkWAs4+XH7RW8WqceDmFGgjmBPxwOKwtbnqoMQRF0b2M/BAvpxCPW1WjqkKzOXEiXoA13OhH1SNcfz173k+dilpaoHz96+wC33TTgkF18qt4LS7KnOLlPSYlSUI0GjUQr0zGnniZFS9+3qlUBORyMiRJRXt7bYVyvIz9Gknt2rt33tJzkuCU4wUAfX2ydryTJ9n9u/LKkuNGoa+vz5DbxZ9/Z2cN69eXUCxKOH48jrNnddU16OPLK6qhkKpZrHzjGw08fKBwIxEv+znN7h4IgqCNO6bo6o2y83nRF/EKhUKOz4ZblMB8Pvz4vhywSrx8wFzVaCfZBiFefIPsnh57NckNZMxH6OiQNVPHXE4ncqVSCWNjIRSL+mv5hHeCmXjx+V1kVeG0CFO4kYhXPp/H9HQIp07FEIvVsWNH3pN40Wd5VTUKgqARr927vRPsazU49uZqRPECWMsl/nr97Gfsib7ttpzltX5CRyuheC0sMLVSlhXIcuOkzos4+lO82PPSaFUjnYebImS30PX19S3vslW0tdVQrYrIZmWNWLvdZ69Qo5uP1/y8jGJRQnu74uqDZQ43+lW8AGBgIIU1a8qoVkWNJALA4cNxfOc7XZAkFQ88MGF4jxfxikSAcFhBvS5wRqb+lodEImFSvOxfZ1a8+DAjbWg7O6sQRfsx26pQI41Jso+45545TVUy53npfRqtxCuZjCCdrkFRBC1EuHFjxfF80uk0+qgSynRuADTV65VXkk3ldyWTScO1uu++GUiSigMH2jXlOSgoLOikeNndGz58TtYQfLiRiFejoUanz7X7/eXWKHuVePmAJElIJBREo3VHx2q3ZF0zCoUa8nkJkqSiq0sOtNsFrDYAgqCH6ajZNPucghaOIDXpF79IW4gjNaglVKtVzbW+r48lkDoNcJ54VSpVLCwsaK7fu3cvIhRSDcSrXC4beofxuWQbNrgvPvF4XCMDu3ax3zkRL0UBfuM3tuJ977vats0ThQ3N8FK8eIK9tCTi5ZeTEEUVb3qTkbz6zddaCcWL+uJGo0pTx25G8QqHgWRSRb0uYH5eRj4vIRRStZ1nULiFG+3+Jooi1qxZA8A+z8vpPlerAsbHIxBFVVNBzODtJMzPkm4l4Z5Qk0wmPZ25ncAS7FmeF/l51evAZz+7Hqoq4AMfmMSGDcYF24t4seOy8VKtihAE//cqmUwacrycbCiIeBWLIiqVqqGi2s08ldDKUOOhQwlMTETQ21vBjh157V6biRcpJHahRt7Li6oRr7rK/Tzs5gWyY+AT7MmaohHiFYvFDES+u7uKm2/OoV4X8MMfBk+yV1Xe7NS/4mVep8x5XjqZc/7scDjsen/9Ei++eORywCrx8gFWIeHdINev6sW3CwqHnaVUJ9j5L3V3swHNE69isahNzPv3z6GtrYYLFyLajp7Ae+kARvNUIl6iKNpOGps3F9HWVsPERARjY2Fks1ktzEjmjTzxAvTrVCgUMDcXQr3Ocsn6+ztdCUuK2xoNDbEw2vi47h3E4/DhBI4cSWB0NIqDBxOWvwNW1cvNw8sOzz+fRq0m4ppr8loYg+CXeLVW8WIkjgynLyXxAnQvJ9q9d3cjsBEkISjxAlhj6UgkYmiW7aV4nT8fgaII6O+vaC2YrJ/HNmHlsmhp1k5WEm5hRgKFG/1WNBJCoRC2bWNzEVlKPPpoF44eTaC3t4IHHzT2DpMkydcYSKd1U9NkUvHsFUtglhI6kXWqhpRl5l2mKAImJhYMJqoU4qO5wq/iJQiC71Ajr3iR2vXmN89BFKEpXuZuGG6KF/PyYvNFpcIu1tVXN/Yc85WNBw8mG06slyQJkUjEMp7uvXcWAPBP/xSgQ/0yymUBiiIgElEQifgnv+ZzMHt5+VG8vOCXeHV0rBKv1x3IRblVeV5EvNraasvhEP+TLmBPvHp62CTGtw0qFApaftfQUEEjQl7hRrN5KsFuMhRFY55Xva77d5EKZCZeFG5kPRr1xPpIJOK6QCS5khpZhrb42JXVP/WUHsr5+c/tt+5m4lWpVAIZ4f7sZ+x73nprY2FGQCderVC8aFgsF1siElF9t/6xQ/ONidlPIl5B2wXxaIR4AWyyN7vXu/nuUW6Nk5UEgTZh5nAjKSYbN3pPrUS8/FY08rj2Wvb6kZEYcrkwvvAFpu499NA5xOPGJqZ+FCEAWuUX+7f/3NNYLIZkUtBUdbek/GSSmlUbcwD0noTsuvslXn43LLyP1/y8jCeeoF6abJdCxNGqeNnbSQBsbPHFUf39ZXR2BpvLCbIsY/36MjKZKubmQpoXW1DFi9YS85pyxx05tLXVMDwcx7FjwTb6lKoSi1lVP/78zbBTvCjHa2FB1lQ0p0pJP3Cao6zEy+gddqmxSrx8gs/z+v73O/F3f9eHz39+DT7zmXX4kz9Zj/Pnw76JF9+n0S150Al2RK2vj01ofNsgXvHatKmoES/eUZ5gJV5ssuaJl9NDx/t5DQ+zNkG9vRVccUV5+dzsiZcxv6uCcDjsOpEmTU/oddex72xOsFdV4Kmn9EQTstMww454+YWquud3BQ01tkLxomGRzXq71vtBs4oXES/avTeS30Vweka8yDojXsZ+jW4Ee3TUvaKR4LQJ0ysavYkUVbkF3XgBwI03ss8ZHo7hy18ewsKCjJtuWsDevVnLa/2EGdn56NekrS1YB/p4PK7lebnlhhHxokWXYM5p8htq9EsqBUFAIsHy2CoVEbOzIaxdW8JVV7GQ7cCAU6jRObleEAR0denXyS2x3gsUVSHVa2mJzQdeGwAz6POtapOK/ftZDsL3v98V6Jik6iYSzoU6dr83nwMfaqQNdyLhX1n1+7l2v18lXq9TsDJgNoF/73td+MIX1uArX+nDI4/04Nvf7sb//b99AYiX3qexVYpXfz8RL3ZLy+UyFhdVnD8fhSwrGBwsacTrhRdSlqTzQqGgldobzVO9ndX5PC++mpE28US8Jietihcpaz09jIQyd26rQhWPxy0T3/XXs/8353kdORJfzt+oIxZTcOJEXHvQzd+ZX4CDEK+RkRimp8Po7q4Y3OoJQUONrcnxYhc8m23eSsLrnETRuyiElA9KAG+GeFEIxQyvhS4UCqG31+he73afdfNU9yILJxNVLysJHoIgoL29vSHitX17AvF4HTMzYTzxxDrIsoLf+Z1R21CuX+LFK15BiVcymcS2bWwjMzTkpnixn+Y8WTPx8qtu+SVe7P2SwTdx37557Xp1d1cRCjFvQP7c9FCj/bPEGwJfeWWpoXvJzo19N0qwB1huolm99AJtUOzO421vYzv+H/2oA5WKf4WVV7yC5NmZn1c+1EiV7M2EGQH/xKutLWSwsrjUWCVePiFJEu6/fwrvec8U3vveKXzkIxfwyU+exwc+MAmALcReFXGEWRZuR3s7IxuyLAeaQOyJF7uVU1PsZ6FQ0EqcN2woQZaBvr4qrryyiEJBwqFDVn2XVC9e8Vq3Tn/QnB66jRtLyGSqmJkJ49FH2UzEJ5uzprfqst2FgGKxCFVVUSqVNELU369PMJ2d1jwEs9oFOLcOevJJFma87z4Vt93GFshnn7WqXtRTkuD3/gG62nXrrTnbxe7SJNezYy0s6FYSzRzX7Tv4WcwpyboVihdgT7K8iBeveFGo0V9Fo/smysnLK0iOF8DCjUEVbwCQZRFbtugE8kMfmnQki36JF1+N2NYWzG0zkUjgE58Yxze/OYJ9+5xfx7vXE+p1/bqTwtNqxYvebyRec9q/RREYGGDXk8/z0tva2F8PPny+ZUu94bA+EQXeC/DKK+1727qBxlIkErE8v0NDRWzeXEAuJ+MnP/Ff5UKKl12fRoK5X6MoipZxZ6d48SprI/AbagyH9YrKfP7SW0qsGPESBOHvBEGYEgThMPe7DkEQnhAEYWT5p00r1csTkiRh7doKfvd3z+E//+dz+Lf/dhwPPDCplW2fOBFDoeCteNXrda2kN5OpaoPT705Jkqx9EwFgzRp2K6en2d+KxaKW+0S93QCdELmFG/P5GrJZtkMgk0DAeXchCHq4cWwsAkFQccMNC9z72I5SVQVMTYVQrVa1SkoieGvW6A9ge3u75bNSNluja64BJEnFmTNRrTehqgI//jEbVvffL+OeexihsyNe7Lvq4cYgipfu32Xv/O93sVsJO4lcbuUVLz/fj/jzhQvsxC4F8WKKF+/lpbj26qRQo1eIR/fy0hf+alXA1FQYoqhi/XrXt2tIp9OGXo5BsGMHG9vd3UX85m9ecHyd37HIC81OJqhOoNZB27ZVXQsokkn2R15VunAhjGpVNCg8dmPPrhlzkOdGlmUtz2vDhiI2bTLeY0qw5728KNToZJHR16d/j23bGldS6Hts3VpAJMKuQaMVjQS76ve3vY3t+r//ff9J9qR4xePOihdgvBd24gCzk2DfjRQvt4pGP/BrMcL3a3xDEy8Afw9gv+l3vwvgKVVVNwN4avn/XxdwGnCZTA2dnVUUixLGxkKeqomxT6OerOh312s3oAGdeFG/Rj6xnlqMAPCV53XhApt0OzuriET0Qeo2yVG4EQCuuqqA9nZjcq45z2tu2fOAHsA1a/RJixUyGCcGO8UrGgU2bapCUQTtux4/HsPYWATd3TXccgvwK7/Crstzz6VtPb34Rdiv4pXLSTh0KAFZVgwEk4fTfTKjlYpXLMaORYvFShIvP9/PbCvQSJ9GHo0SL7JamZpibav4Cl4eS0ss9ycSUTw95fRG2fozMTERhqIIGBhQ4JPrQBRF32PFjAceEDA0VMBDDx1ENOpMlPwTL/0YNl2NXCHLMqLRqCcRooWWV7zIOoEnu36VjKCKFymVvNpFsPPyIjsJ8oEyY2BAP5/t25t/1mQZuOYaNj6DEq9wOGy4bnab+be8ZQ6SpOLZZ9swM+OPgJDiFYu5mzHzf7P7bBZaZ/+mtBMnXzC/sDsfuwp8QRCQSlFF5RuYeKmq+i8AzKP7HQC+svzvrwB450p9fqvhtgiRonTiRMwzz4tvF9TF5Tg2S7zWrmXHpLZB5sR6wvXXL0GWFRw5Ere0D6pWqygWi5iYEJfPz9i6w+0a8MSLyB0PM/GiPoekeK1fbzw2T7xisZjjA0+tgyjBnqoZ7723AkkCtm4NY/36EhYXZc1rhwe/CPtVvH7xizQURcDOnUvaDs4Mv4tpKxUvCjWq6son1wdRvAitVrwoTO+GcDiMREIxtK1yekb5VkGi6B5qtevdSmHGK69sLnziF3v2xPD1rw/j2mutJIKHf+KlL4JO7vNuSCQSnuMtlWKfwdtwmCsa3RzJzccPSrx+/dcn8P73T+L++6csfzcTL0bSSfGyJwhr1rDx19FRxcBAY/ldgPH5//jHx7F//6yWDO8X5jXEjvxkMjXcfnsW9bqAf/5nf6oXKV6JRHOKFwC0t1NKDLtvK0G8nOYECmteDorXxT6DXlVVSROfANDr9EJBEH4LwG8BrMHogQMHWnYSS0tLgY9XrVYdPZ4GBjIA0njlFQXPP/+862LA2vFcCwBQlEkcOHBy+d+Kr+T8ubk5rU+g8biAKN6JXE7G00//C+r1EoaHtwIA2ttHMTmpk4pt29bh1Ve78MQTCm6/fdJy/OFh9kC2tS3imWee1/5Wq9UcyUk0CnR2bsLsbBRDQ2cxOWmcNFKpdgAdOHGigslJ/TMnJ3cAAObnD+PAAdVwb0qlEhSF7bKmpqwTJQD09AwA2IKXXxZw222TeOwx9p2vueY4Dhxg1YY7dw5idHQQTz4pob9/0nKMmeUyU6fG2WY89RQbtjt2jBm+C49cLucrz4uu6cLCQsP5IYSTJzMArtX+X1HyGB4exunTpxs+Jl2TWq1m+K7ZbBbHjh1zfe/YWCeAa7T/P3fuRRw4sOj8Bh+g/ECALaSknLqhUCigs7OIpaUUjh5dxIYN9udw6BAr4e3pyWFychKybG06TxCEMoCNmJyEdl2OHmWLTTI5hQMHhoN+tYZQLpct98YM3qjUDfPzPQC2AQCWls7jwAHnY9qhVqtBURScO3fO8TW53CYAazE1VeCuG2PkHR1TmJychCAIjvNzuVw2GFX7fc4AtrFqb6/hgx88g3weMEecmai+DqdOsXtaKkmo1wVEInWMjZ3C9PR5yzFVFbj33kFs2pTDSy/NG/4WZJ3h5//+fuC3f/uU7Tm6YW5uDufP6+dI/TDNuP12FQcO7Majj7Zh375XPb31JieJwOXxzDOHHV9XqVS05yWbzWJkZMTymkIhDaAf1Sq7Z8XiJA4ccJ9H3KCqqqUbiiiKmKVEag6yfBWABObnlZbyiUZwyaifqqqqIAiO2ypVVb8I4IsAsHv3bnXPnj0t++wDBw4g6PHGx8dx4YJ9HsW11wp49FFgYqILW7ZEsd4lwWN2dhaFAtuZbN/ehz171gJgD8krr7zieR6Dg4O2yecAC39MT4eQyWzF9PQsCoUQOjqq2LrVGDe4444SXn0VOHZsHd7zHuMtCIfDqFZZsscVV4QN1ymbzeLkyZOO5/bHfzyK4eEY9u4NQRCMnHrjRrbDWVrqQG8vU5kKBRGFAgvt7Nt3AxKJuOHezMzM4OzZs9iwYYOlxQqhXq/hC18Azp3rxMLCIMbHE8hkqvh3/24naHN28uQ4vvtd4NVXB9Dba1XjNm3ahGg0isOHnScVgqIAL73Evtv+/Yql4S3hmmuu8aU0TE9PY3R0FLt27WqaeJk7J2QyEVxzzTW2bUr84pVXXkG9Xsfk5KThuw4NDdmGf3mYv/5b3nI9BgcbPhUAwIkTJ7RWM/39/Rjg/U4ccOjQIQwMKDh7FqjX+9Dbax+ezGYZAdiyhW32Nm7caOjLyaNaZV9ucTGmXZfFRSZh33JLP/bs8T6vVmBychIvvvii4zhkDZivtf2b9Vj6Ir1jxzrs2eNhw25CsVjE7Ows1q5d6/iaJ54AHn0UEMU27ZwnJzPLn8l6bEYiEWzfvt32/adPnzaQ7e3bt/tWl8fGxjAxMeH496uvZvPyzEwKvb29XAJ4HVu3bnWc1zs6DkIQBOzYscfw+yDrTKFQwNGjR3291gnmedLpmG99K/CXf1nFuXMpzMxcie3b3TecksTig729Mdfvw19fp/khl5sx/P/mzX3Ys6fx+alWq+HgwYOG36XTaWzevNny2oEBtu5Uq3Hs2XNDw5/ZClzsqsZJQRD6AWD5p72McRliJUKNvb3GikE/srnbJEPu9adPl2wT6wk33cR2wHbtgyqVimbxQK71/Dm64cYbF/HBD07Z7qDMlhKALjd3dVURjVq/VyaTgSiKrgs89Ww8cSKGxx5jSUX79xfBn+odd6gIhxUcOZIw5OQQ8vm87zDjkSNxZLMhDAyUHXMwqC+ZH1BYpVnSBQCxmPFxbjbUCDjf8yBVjYRmc7wAY7jRr2dSKBTScrb48WeGbiXB7mskErEt6gCMXSzoGQri4dUqeKUo+A0zAsZwmpP7vBui0ajn5+ltg/Rx5cfDi9BMcr3Xs0BeXuPjESiK0cPL7XMikUjD/l1+z80P/IQaAZZH9pa3+Pf0okIIrxoQrxwvAOjqMs6LK5Fc73SvKIexULj0ocaLTby+B+DDy//+MIDvXuTPbxhuD8aVV5YgiipGR6PI5dwTtCuVqpZc39NjvPx+8rzciBe514+NKVp+F59YTxgaKmhtfsztgwA974q3eACay0OiyjLK8WKfQx5eVcfy8f7+flcS09YGrFtXQaUi4pFH2Mr+7ncbzzuTiWju+nau/fl83ndivZeNBMAWuyDO9a2YdAE9x0v//5UhXn6JJS/MJhKq58TtB40TL91Swgl6RWNZe1/aYWWIxRTE43VUKnrboKBWEq1AK4kX9bMD/DfI5uHkwcdDt5Ngx89mJeRyMhKJutan0W8Cd9Bnx+u1iYSC9vaqZrDq1i6IRyQSacgShEezOZ6CIFjWBjtLBwJ5en33u5340pf6bAuPCFQIQfl5TqDv4FR5DwAdHeZqdddD+oJfMk45jEtL/vMCVworaSfxNQDPAhgSBOG8IAi/CeAzAN4sCMIIgLuX//91AfcHT8X69SUoioDhYcm1WXY2W0etJiIWq6OtzfhQeFlKeKlipFDNzIS0Kj87xUsU3asbddd644PWzOTAJ9eTQqA34na+Xk4hFB7bt7NZI59nbUH27zdex2g0iltuYd/XzsW+UCj4Vrx44uWEIFVqfnvN+YF5+DTr4wU4eyf5IZZ8dLgVahegky1Zln2TinA4bLCUsIOqGj28yCDWjUiQpQQl2AcxT20VvO5FEOLV2anf666uxpYGr7GvG6iyz+IrGulr+FW8giTWex2XoLcOCnPtglaeeDHnevdnys12JBaL2b7faU3ZtKmED31oArWaiL/6qzV44IGt2mbdDCLJXiSJ7ofbOtbdbRyPzSpegHVdcppPaWNxOSTXr2RV4/tVVe1XVTWkqupaVVX/VlXVWVVV96qqullV1btVVQ1WtnEJ4fXQ8uFGN/WEb5Btnji8Hl6vSY1SeWZnQ1rzXDtXdUD383rmGatBje6tZfx9M4t4KlVHPF5HoSBpE5pO8JwrqPws8Nddpytce/fmkExaW1XccgsjSs8+m4ZiKkSs1WqGlklOmJ2VceRIAuGwYqjiNCMI8Wql4mX+2JVSvPwu5rKsy/vN9Gk0f7Ysy4FCO35CjdPTIRSLEtrbq2hrq2vfMRwOO95P3kR1YUHC4qKMWExpGcn0i2aNbgl8qJEnYa2EWfEyhxkB93mGX1SDblj8ES/dy4sUr0Ri5UONgPf36e3tdXyN09rhRoI+9akxfOELw+jvL+PYsQQ+9KGttupXUMXLbf7r6AiBT+1uheLll3hRo+w3NPF6o8FrF+Y3z2t6mv3MZGqWSbFZ4kV5xmNjEZw7F4EkqY7d7e+8M4twWMHzz6dw4YLxPCgEyHtrAfb+KH4hCFZLCd3Dq7ny++uv18/p7W+3Vp6GQiFs2FBDf38Z2WzI0tsRsPZttAOZsO7evejqm3SpFK/LjXgBep5Xs1YSPGKxWKCFzuheb6+S6GqXHmYkOKlevJcXuZ0PDiqeVWKtRquIV1sbIMsqJEnVetu1GrTQ5vPs+GYrCcA/8VoZxUu3lPAbaozFYg17sQU5v0gk4lhY1QjxAlhe7te/fgTvec+Upn69853b8dBDG/E//+daPPJIlxZC9yJJdG/cPlMUWUiXsKp4rcIVbg9FW1ubRrxGRuKuxMvcLoiH10PiTbzYOT7/fAqKIuCKK0oIh+0JQltbHXv2ZKGqgsHFuFAQkc9LCIcVdHf7T1z0AzPx0vtBNjcMb745jFBIQUdHFfv2Oe0I3cONfkBhWVLPnHCpFC/z8GkF8bJb1IOFrxgLaSXxisfjgRUvvl+jXX9sIgCUWM9/R6c8LyJeMzMhze38Ynl48WgV8ZJl4A//cAy///tnEQqtDHvUk+sbU7xWPtSoEy8yT02l3BWveDzekuIYr7k1FAqhq8s+Gb5R4gUwIvS7v3sO/+f/DGNgoIyJiQh+8pN2/MM/9OIzn7kCx46xEGc67T5P0/3wmv9SqdYSL7/ebnqj7EtPvC79GbxO4PbQEqeNywAAIABJREFUZjIZbNrEvGuY4jXj+FpqkJ3JKJaHVZIkhMNhx3wjrwGttw1ik61TmJHwjnfM4PHHO/D973fiwQcvQBT1fBXWNNY6PJpZyM0J9qR4mc1Tg2JgQMbf/M0IYrEKOjo22b4mEong5ptz+Na3uvHss2148EHnsnI7KIqemM/3oXT6LL/w02zaL+wUr2aPfTkqXkGJFzXnjcXqKBYl5POixfjW3CqI/46pVAqCIBgaqgN6ZePcXAiVCnv2Nm68+HvZVuV4AcB99y04epe1Ak6KVyOhxpUgXmvX6sSLkv1TqVrLNkducHtWqaAlFAohlUpZvNmcnocgTbtvuGERjz12BhcutOOll5Zw7lwUo6MsehKPK9i9231TQS2dvD4znVZBzkwXN9TI7uHloHhd+jN4ncDpwRMEAel0GmvX1hCP1zE7G8L4eNU2wVZVVczNseN0ddk7nkej0YaJ17p1xtu5ebO7P8sNNyyiv7+MCxcieP75FG66adFg8WA3sa2E4nXFFc0Pw5tvVlEuK47XKBqN4oYbJiBJKg4dSuCxxzLYt2/ed1hoZCSG+XnW98+pGTEhaKhx5XK81IZDwwS7cwvy/Sgy0krilUqlAi26LAGdVc+ePSthcjKMZNKoSptDjTxhIUsT82LH92vM5dgYvhTEi+xIzMQwiK0JQZIky3FaCV7xKpcFjI+HIUmqRnjoHJyw8qFGPbl+wwZ/dhKtgttn8OOxq6vLMBZlWXbtWShJ7gVfPDo6UhgcTKCjw2oWm0hs9Hw/tY5yA69yXcxQI2UMXA7EazXU6BNOXkvRaBSiKCIWi2DjRqYwvfaa/WWtVquah5dDqN5RMma7dnfDyjVrjBOLl+IlinrT1O99j0nYuuJVCeSR4gc88arX9QbDg4PBduV2iMVijp5LALtPiYSCX/mVWSiKgP/yXzbgYx/bovmdeYHCjDfdtOBK1kKhUCCy08pQYygEQ+JqItF8+KNZxevuu9kO9/bbmz4VDUEXXLrGemWj9fz5dkF2n2EXbuRzvCgPZuPGi5zgtQynpsRBIUnSiqo7enK9hHPnIlBVAWvWlBEK6ePWbY7hz62R5HqvkGBPTwWSpGJmJqzNhamU0vQGxu/5OYG/l5lMxvDdvdTfIKpXKpVybP3k53rHYjHPa8W3ploJxcvpOlKfyH+NPl6va9gNKCJK0WiUy/OyV63y+bxGvJwqn5wekr6+Ps9JIxqF1ggU8CZeACNegqDi6afbsbAg+fLWahQ88ZqbC6FeF5DJVBGNNj8M/RAvAPiDPziL3//9M8hkqnjppRQ++MGr8NnPrkM26/69ViLMCLQ2uV4QYMjpa0GhVdPE6zd+A5iYqGD37ubPpRnwlhKTk0ZCUq0KGB+PQBBUrFtnVbwAJ+Klm6heCisJHnYbtqBhRqC1GwE76HYSomYlYTYidvt8XiFuhFh6kQJJ0o1Uh4fZA8Q3D19J+FW8BEGw9LJ1g1/iJQgCEomEFsUxw8+48BIHAGP1bKtzvGRZdlwnSfFaWpJt8zwvJlaJVwDYDTw74mWubFRVFefPn8epU6cczVPNx+MRDocdkyrN6Olhi0FbWw3d3fa9JXn091dw442LqFRE/OhHHVr4r7fXPhTaCsVrcjLMfY4/CdwL0WjUlXgRIRJF4J3vnMW3v/0a3v/+SQgC8M1v9uC9773aUt1JKJUEvPJKEoKg4sYbW0u8Wr3QGYlX6xUvWZYD7/5jseYrvpqFm6XE2FgY9bqA/v4KIhF2/cykJR6PW8Y+7+NFY6fZlkiNolXEa6UVr0iEVU5Wq6LmG2WuvPb6/GaIV5AEexonHp6wLYNf4gUA3dzOvVXEK5FIaM+2XSWvn7nfD/Gi6kJBaI2psl+LkWiUzY+1mggfbZFXFKvEKwD8Eq+REZ14lUolHDt2TGsIS4qXE/Gye0j6+/t9V82Qe/2mTUXf+UtvfzsrBvje9zo1QmRuF0RohHjRuff0VCEIKqan9YWqv781xCuRSLguNGYX51Sqjv/wH87jH//xCK6+Oo/5+RAefthehnz55RQqFRFbtxbQ3u5+vpdS8WKf39pQo5lkNbKYXw5wc683hxmdyLBZBaBQ49RUGLWaiJ6eektUxkbweiFeggAkk2yMHjnCLlYQxQvQ56BGiJefZ21gwBitaLdaHa4I3M7N/F35dlatIl78xtVO8fJz7fwUvRDxSqXQEuuVIN5uVFGZcy9MX3GsEq8A8Eu8Tp2KolAoYXp6GkePHkWhoCe52/VpNH8GP2G6ebfYobeXTWp2rYKcsGdPFul0DceOJfDii+zh6++312KDTsqCIKBnObM6FFLR1VWFogh47TW21fHR49j353jBbgLauLGE3/mdUQCsb1m5bD0O5Xd5hRmBy0Hx0v+dTDb/eJvP7fVKvNzc682tgpy+o1kFiEZVJBI6ER8ctN+sXAy8XogXoIcbjx5lc0AjxMtPvpYdgihehEzm4uTtuZ2b3b3s7u6GIAgrQrxCoZCBRPntJ+vnNfQYtSK/CwhGvChsvEq8XkcwPxg8SYpEImhrq6Onp4JSScLBg4sYHR2FYrJJJ+LV3+8mieoPShC1CwB272ahxhtvdHZWNyMSUbWmqXNz5CZv/9qg6kxbWxs6uG7JFG48fJhNumZ3/JWEEynatq2AoaECcjkZTz9t3d4+9xybIW66aQHtHtvfN5ri9UYhXk6hxmPHYlqPTzsrCR52KgCFG4FLl98FsHHXCnVypXO8AF3xokpQuu6Avypfr9ZpXu/1wqUiXkFCjQDQ3t6OZDLpuT5EIhHP11B+Fw9+o9HKMUGHTadbc12DFFzQZ68Sr9cRzIOP32nQZMAn2JtRqwELCzIEQUVPj/PEQceNRCIG0uIHn/hEDU8++Qpuvz3YyKJwI8HsWk8IShI6OjoQj8e1iYOIFyle69ZdvCHotPMTBODd72YtBb79bWO4cWZGxokTcUSjdezYkUdPT4/rJNaIg3UriRfleImiimi0+cnyjUK8zO71qgp885vd+MhHtmJsLIItWwra5sPpO9q1KqJwIwBs2HBpp1Oz8nG5K14Au37ptK4a+skflGV5RYmX0dpCRSJxce5rUOIlCALWrl3reVy7Btpm8PldBH6j0co5SiderTker376JV7ZbGs+u1GsEq8AMD+05kk4Go1qlhJ2DUcXFtigYL3g3FtQAMDAwEBgOT0UCnnmIdlhaKiIrVtZ25xEoo5Mxn4AB5mUJUnSdk30k4hXucyG3rp1K29MSHCT3O+5Zw6xWB0vvZTC6dP66yjMeP31S4hE2ATl1Ky2lWaojYK+IjNPXSVehFAohLa2OiIRBUtLMv7Tf9qAz352PapVEffdN40vf/mYVhHstqibVS/q1wgAmzatEi8/4Hv+8WoXfb4XVoJ48XM5eXkBzDzVzkh6JeA0d7ip4n6NhL3CjXaFSYlEQvvcVs5rFDRoZdGC3/OkispVxet1BDfFC7BWNppBFY2ZjDsxikajiEajgdUuwHnRyGQynu99+9uZp1dnZ9VxAAd5ANvb2y1VMpRnQxgcbGwCbQRuk08yqWD/fqZ4PPqoXkHK20iQZ5tTC5lW9GtrFqR4taJdEGDN7Xi9Eq9wOLxsosrG34EDGSQSdfzJn5zC7/3eqCFE6/YdOzs7DdeDV7wulYcXwazAN3L/L7biZa5o9DO/SJLUMBGw+26CIKCvr0/7/1SqjnS6pv37YrjW03k026LLCY0QL95WopXX4K67gA98QMVDD7XskL4rXdvb2fVdJV6vI/ghXuSdZUe8KL+ro8M9CTcWi2Ggwaxzu4d03bp1honFCW996yzuuCOLX/u1yZYQL544plIpiKKoKV6EtWsv3mIVDoddQxnvfjcLt/7gB50olwUoCvDLX+rEi3aXTrYVlwPxolOIRJpvF0Tgr9nl8B0bAfn7UBhpy5YCvvrVo9i3b97yWreFLhqNGqxdjKHGFp5wA+DVj0YVoYuR48Xn9gRNrAdar3il02mLDQLleV0s13qC3Wc1+l15uBEvu/wuAhGvVl6DRAL4f/9PwP79LTukb8WL8vX+f3t3HiTnUd5x/PvMzM61K62kPSTtIe0uUtmWTTAgOwInWCYcJoYIJ+Iw4SibK1UQHJwUwQkmUIEqSFEmJiEECpw4CcFJGQfMEQg4JiEVoIwjYxsrFI45ZOMLyRaWrMPSdv5433f17uwc7+zOvMfM71Ol0s7s7EzP9HS/z/t0v91JB17JL+GaIVECr5mZo+Tzjn37Shw9apTLp86kT61a3zzwyuVykTJUjf42vEXE2NgY4+PjzM/P191WJGxwcJ6rr/4/AAYG6i+tEJyV1V40UKtQKCwKUHK5HKtWrVoUeBWL86xbF2/sXyqVOHKk/sKyZ5zxBGeccZi9ewe5+ea1bNlyhP37vWUIZmaOUql4B9xgPkTtZ5CGoCQ81NipA2jwPGkYSl2JgYEBrrjiPm677TFe8pL9i7JctY9rZmJiggMHDnDy5MmFocZi0TExkZ6M13KzJN3eMgg6E3gtV73nX7NmDQMDAxQKhYV9Kicnj7F372CsGS/w3lvt4tvdzngNDQ01PCENRiri/AyWI2rgddZZcM45P2d6Otq6mN2ijFcbwl++elcRlctlikXH5s1Hcc64997FgVkw1Nho1fpOCQ4cw8PDTE9PA95Bs52tI5p9gaN0fOvWrVsyP214eHhR4LVhw8mOrOPSjlafwcUXe1mvG28cXRhmDLYJCjIKZlY365WGwCvoo7sReGV1mDFQLBaZnT3K7t0/bxh0BY9rplAoLGSQg4zX1NRJYthVpqnwVdYrCbziHGpcTuDVyasazWzhSuVw4BrM84o747XSnSIaGRwcbDhFotmip8EFJWk/4YoaeF12GXzgA3fw8pfHUarGFHi1IdwoGq2bk8vlGs7zCjJeo6PdjTYGBgaoVCrMzs4uCn5arfdS+xyNRGmE9TJ2w8PDCxOcATZujH/do1bB0QtfeIBq9SS3376KG2/0zoqC9bvCQzlpDbyCIijwWirKwTpq4DE+Pk6xWOS0056gXD7J+eefaPk3cQja+HLrKo6hxqDplErzS+Z8Rs14dWqO19DQ0MJzhdv37KzXh4+N1d86rVvqva9OtbvZ2dm6z9Vsxw/w+u20B15BHUUp53LWf+s0BV5taBV4gXfwDa9gHxasWzM21t2Kr1arbNmypeVVmI20WpywVUdUKpXqnkUVi0Wq1cpC1qtTi6e2o1XGa3Dw1CT7ffu8x5577uOUSqVF77ve2WMaAq/g7ZVKnQu8gsxu1gOvKOWPmknJ5XJMTEywYcOTfP3r3+Oaa3oj8Ioz47V589ElWcK4M17hdfnCffoLXvAo73rXj7n00gd6Yo5X8Nxzc3OL+vZcLtdym5/h4eFMDDXmcrlIy5Eo8MqY8JevURBTLpc56yxvWYYvfGFk0f5/wVDj+vXd/dgnJyfrdrxRA69WHU3rCYyN56eFhxvjnFgfiDLcGqzpBXD66YdZu/bEkkC7Uqks+hzMLBWBiTJejUU5gLXzHkdGRqhWq5TLjlIpHZ/NSgMvM+v6gSm45mZubulcyyhBTiczXo0Cr2LR8dKX7md09ETPZLzAG3IMpp8Et1vV9+DgYFvTVJKwku9EEhR4tSFKxqtcLnPOOY9z/vmPcehQgXe/ewZ/nnvL7YI6pVFDijrU2OoA1eoL3mwZjOHhYSYmvCuGNm+O/+sXpQM5/fQjbNvmBc/1hhkD4RS9t1xB8mdS3Zxcr8BrqampqdQE3bDywCsOu3bB619/gMsue3DJ76J8Z1cSHIafv3Z/13K5vOR5Gy3x0C3dmuMVNjY2ttBHtxpmDLQzTSUJCrx6WPjqrkbDSl7jhauu+jEjI0+yZ88qrrvOm4gbBF4bNiTzBSkUCpEacasvcLPOsVKpNG2kQ0NDvPa1+7nkkod5zWviT19HXQPoiiv2cd55B9m928t+1Qu8wsONaRhmBCiXvQNHpeI6Fgj2SuAVpfztvsdVq1Yx1u2rZdoQBA9prqs1a+DKKx9lbu7okt91O7sUfv7a7b/q9etxH8xrX6/TW4oFNm/eTKVSaTnMmBUrWdstCQq82hA02maBRdBw16w5yXvf+yMAPv7xCe66q8qjj3pn3En201HOXFYy1Bhl0denPa3ElVc+xPh4MhmiKEOuZ599mGuuuYcNG55s+Dfhs8W0BF6nhho795y9EnhFyXgtZz7NZJwbjrYQXHGbhuxrM42ySN0OvMILAtebElHbP8Y9t6m2b+1Wm8vlcszNzfVM4KWMV4/L5/NNg5fwUNaOHY/zqlc9xMmTxlVXzS7M8RpNcAmRKEHHSoYao6w/Njw8nGig0mixwEYaLdhYKpUWbZKeBsGWGMPDnbtitJ8Cr+VuLJ0mw53ci6VLGgU0cQQ6QR9er83W9u1JZ7y62ebqDa1mlQKvHtcq8Kq94uYtb7mfrVufYN++MseP5ygW52nzuN9RUQKv5Q41FovFSAFI0oFXu2d5zT6zYLgxLYHXq189z5vf/DMuueQXHXvOIEuQ9U46ygKwWQ8uIRuBV1IZr+A1Gp0gJp3xqn29Tl3R2OtWsptBEhR4talV4AWLs16lkuN97/vRwtpV69bNx75oaFiUocblZryiTtTM5/PL2oeyU9rNeDULvIL3nJbAa3zceOMbH+joUh2tlhfJklbf7V4IvNLyXWwmyYxXoVBYMr8rkHTgFWfGq5ekfV5jLQVebWo38AJ4ylOOcvnl9wEwPR3/oqFhtetR1bPcOV6NVkauJ2qQ1g35fL6ty6OzFHgFmYROHjDy+XzqhtOWq1nn3EvvM+2SzHhVq9Wm6zCGy9DLQ429Ju1LXoRlZ1A0JcrlcsvGWO8L8LKXPcLatSc4//wRINnGVKlUOHToUMPfLzfwSjKYatfQ0BBHjy69qqqeZoHXwMDAwgbgadCtwKsfMl46yMWn3mcd1/dstMUk23K5zOHDhxfKFLfwnpH6TkaXpcArHUeLDIkyP6he9sMMnv/8R3nqU5NfAbjVPK9WwzH1OqNyuZypMfaow435fL5lNitNywkEBy4FXvU1O5DpIBeftWvXsnXr1kVtK64gp1X/F/59EhO2w59DlvrUpKXl5DeK7JQ0JaJkdZpF3mno3Ft1PK06GzNb0klmKdsF0SfYR5kT12i+SBKCSfAKvOprdiDTQS5eq1ev5swzz2RiYiKWPSKjCrf5pDJegTQcL6TzNNTYpigNoVQqkcvlmJ9fOp8rDZ17s2Ai6hlePp/nZLAkP9kLvMrl8pL3UE+Uq0DTFpR0+iAWdQ+0LNBQY7qYGRs3bmTdunUcOHAg6eIAi/vHJDJewWtGuQpXsqk3etMUqjc8VSgUUnGQrlQqDcsRNTCs7RCyFnhBtOHGtG+VUY8yXo1pqDGdSqUSGzduTLoYQHoyXmk4SZfuUODVJbXDjWaW6BIKYWbWcDh0fHw80nOEA6/aDaOzIspwY9SNxdMkTcM2aaOMl7SSz+cXvgtJtKNeWbBYGsve0TIjgsAmn88zNjbG+Ph4qs5gqtUqR44cWXTf4OBgyyt+AuEOqZ1lJNKkVcbLzDKZ8dIQRWOFQiHV0wAkHSqVCsePH090qFGBV+9S79wlQ0NDTE9PMzo6msr5MdVqlf379y+6b9OmTZH/PtwhZXGYEVoHXs2GZNOs00ONvWZgYIBjx44tuV8HOglUKhUOHjyooUbpivRFBD1i9erVjI+PpzLogqVzl0ZHR9saVgs6BzPL7EarrRbDzWK2CzTU2Eq9eg0yYSLgfUeSuqhEGa/ep56mT9WuVTM5OdnW3wcH9mq1mumDfLOsV1YDSgVezc3MzCzJ0iq7IGGVSiWxNqQ5Xr1PgVefCk8gnZiYaHsuQ/D4rA4zBhoFV+VymZGRkZhL0xm9tPxDN+TzebZs2bJo/TUd5CQsyQWhNdTY+9Q797FqtUq1Wl3Wyuu9Eng1ynht2rQpk/O7QB12FLlcjrm5uYXgWoGXhCU5hUJDjb1Pk+v7WLVaZcOGDcv622BNsqwOxwXqLaQ6MjKS6YBSgVc0ZsbMzAyFQkFDs7JEkoGXrkzubarZPjY+Pr7sA04+n2doaKgnhrSGhoY4ePAg4L2vqamphEu0Mgq82jM1NbWwKbFIIKmTr1wu13J/WMm27B81ZdlWcpZfKBQynRUKCw83Tk5OZv5MM+vlT4I+M6mV5Hciq1dUSzSJBF5mdqGZ/cDM7jGzdyZRBlmZfD7fM4FXMKQwODi4rPluaaOMl0i2ZXHHDIku9sDLzPLAR4EXAduAS8xsW9zlkJXphfldgWq1ipm1tYBsminwEsk2Zbx6WxIZr3OBe5xz9zrnjgPXA7sSKIcI4GXvNm3a1DNnmQq8RLKtV/oiqc+cc/G+oNlu4ELn3Bv8268Bftk599aax70JeBPA+vXrn3n99dd3rAyHDh3qmWxNr1HdpJPqJb1UN+mkekmnuOrlggsuuM05t73e71I7o9Q59wngEwDbt293O3fu7Nhzf+Mb36CTzyedo7pJJ9VLeqlu0kn1kk5pqJckhhrvB6ZDt6f8+0RERER6WhKB163AVjObNbMi8ErgpgTKISIiIhKr2IcanXMnzOytwFeBPHCtc+77cZdDREREJG6JzPFyzn0Z+HISry0iIiKSFK1cLyIiIhITBV4iIiIiMVHgJSIiIhITBV4iIiIiMVHgJSIiIhITBV4iIiIiMVHgJSIiIhITBV4iIiIiMVHgJSIiIhITc84lXYaWzOwR4CcdfMpR4OcdfD7pHNVNOqle0kt1k06ql3SKq142O+fG6v0iE4FXp5nZd51z25Muhyylukkn1Ut6qW7SSfWSTmmoFw01ioiIiMREgZeIiIhITPo18PpE0gWQhlQ36aR6SS/VTTqpXtIp8XrpyzleIiIiIkno14yXiIiISOz6LvAyswvN7Admdo+ZvTPp8vQrM5s2s1vM7G4z+76ZXe7fv87MvmZmP/T/X5t0WfuRmeXNbI+ZfdG/PWtm3/HbzT+ZWTHpMvYjM1tjZjeY2f+a2V4ze5baTPLM7O1+P3aXmX3GzMpqM8kws2vN7GEzuyt0X902Yp6P+HV0h5k9I44y9lXgZWZ54KPAi4BtwCVmti3ZUvWtE8DvO+e2ATuAt/h18U7gZufcVuBm/7bE73Jgb+j2B4EPO+e2AI8Cr0+kVHIN8BXn3OnA0/DqSG0mQWY2CbwN2O6cOwvIA69EbSYpfwtcWHNfozbyImCr/+9NwMfiKGBfBV7AucA9zrl7nXPHgeuBXQmXqS855x5wzv2P//PjeAeQSbz6uM5/2HXAS5MpYf8ysyngIuCT/m0Dngvc4D9E9ZIAMxsGngN8CsA5d9w59xhqM2lQACpmVgCqwAOozSTCOfefwIGauxu1kV3A3znPt4E1Zrax22Xst8BrEtgXun2ff58kyMxmgKcD3wHWO+ce8H/1ILA+oWL1sz8H3gHM+7dHgMeccyf822o3yZgFHgH+xh8G/qSZDaI2kyjn3P3Ah4Cf4gVcB4HbUJtJk0ZtJJGYoN8CL0kZMxsCPgv8nnPuF+HfOe+SW112GyMzezHwsHPutqTLIksUgGcAH3POPR04TM2wotpM/Pz5QrvwAuMJYJClQ12SEmloI/0WeN0PTIduT/n3SQLMbAAv6Pq0c+5G/+6HglSv///DSZWvT50H/IaZ/RhvKP65ePOK1vjDKKB2k5T7gPucc9/xb9+AF4ipzSTrecCPnHOPOOeeBG7Ea0dqM+nRqI0kEhP0W+B1K7DVv9qkiDcB8qaEy9SX/HlDnwL2OueuDv3qJuB1/s+vAz4fd9n6mXPuSufclHNuBq99/Ltz7reBW4Dd/sNULwlwzj0I7DOz0/y7fg24G7WZpP0U2GFmVb9fC+pFbSY9GrWRm4DX+lc37gAOhoYku6bvFlA1s1/Hm8OSB651zr0/4SL1JTP7FeCbwJ2cmkv0R3jzvP4Z2AT8BHi5c652oqTEwMx2An/gnHuxmc3hZcDWAXuAVzvnjiVZvn5kZmfjXfRQBO4FLsU7gVabSZCZvRd4Bd7V2nuAN+DNFVKbiZmZfQbYCYwCDwF/AnyOOm3ED5T/Em9o+AngUufcd7texn4LvERERESS0m9DjSIiIiKJUeAlIiIiEhMFXiIiIiIxUeAlIiIiEhMFXiIiIiIxUeAlIqlmZiNmdrv/70Ezu9//+ZCZ/VUXX3enmT27W88vIv2p0PohIiLJcc7tB84GMLP3AIeccx+K4aV3AoeA/47htUSkTyjjJSKZ5Gekvuj//B4zu87MvmlmPzGz3zSzPzOzO83sK/72VJjZM83sP8zsNjP7amgbkbeZ2d1mdoeZXe9v3P47wNv97NqvmtmYmX3WzG71/50Xeu2/N7NvmdkPzeyNyXwiIpIFyniJSK94CnABsA34FvBbzrl3mNm/ABeZ2ZeAvwB2OeceMbNXAO8HLsPbbHrWOXfMzNY45x4zs78mlF0zs38EPuyc+y8z2wR8FTjDf+1fAnbgbZC8x8y+5Jz7WWzvXEQyQ4GXiPSKf3XOPWlmd+JtCfYV//47gRngNOAs4GveTiHkgWBftjuAT5vZ5/C2F6nnecA2/28BVpvZkP/z551zR4AjZnYLcG6T5xGRPqbAS0R6xTEA59y8mT3pTu2HNo/X1xnwfefcs+r87UXAc4CXAH9sZk+t85gcsMM5dzR8px+I1e69pr3YRKQuzfESkX7xA2DMzJ4FYGYDZnammeWAaefcLcAfAsPAEPA4sCr09/8G/G5ww9+wOrDLzMpmNoI3Kf/Wrr4TEcksBV4i0hecc8eB3cAHzex7wO3As/GGHP/BH6LcA3zEOfcY8AXg4mByPfA2YLs/Af9uvMn3gTuAW4BvA3+q+V0i0oidysaLiEi7Yl7iQkQyThkvERERkZgo4yUiIiISE2W8RERERGKiwEtEREQkJgq8RERERGKiwEtEREQkJgq8RERb6BzYAAAAEUlEQVRERGKiwEtEREQkJv8P9s6iDjqs5MQAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -1335,7 +1335,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -1357,7 +1357,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -1379,7 +1379,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -1401,7 +1401,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
diff --git a/Simulation/images/graph.png b/Simulation/images/graph.png
index 5e1b875..4226965 100644
Binary files a/Simulation/images/graph.png and b/Simulation/images/graph.png differ