1638 lines
726 KiB
Plaintext
1638 lines
726 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Aragon Conviction Voting Model - Version 3\n",
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"\n",
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"New to this model are the following elements:\n",
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"\n",
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"* Adding the realism that not all participant tokens are being allocated to proposals at each timestep.\n",
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"* Refactored parameters and system initialization to make more readable and consistent.\n",
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"* Changed file structure and file names to align with emerging cadCAD standards.\n",
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"* Making the distinction between effective and total supply.\n",
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"* Refining alpha calculations to more accurately reflect the 1Hive implementation. Discussion of alpha and its relation to alpha in the contract and how it relates to the timescales\n",
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"* Updated differential specification and write-up to respect new state variables\n",
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"* Moved all unit denominations to honey.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# An Introduction to Conviction Voting\n",
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"\n",
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"Conviction Voting is an approach to organizing a communities preferences into discrete decisions in the management of that communities resources. Strictly speaking conviction voting is less like voting and more like signal processing. Framing the approach and the initial algorithm design was done by Michael Zargham and published in a short research proposal [Social Sensor Fusion](https://github.com/BlockScience/conviction/blob/master/social-sensorfusion.pdf). This work is based on a dynamic resource allocation algorithm presented in Zargham's PhD Thesis.\n",
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"\n",
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"The work proceeded in collaboration with the Commons Stack, including expanding on the pythin implementation to makeup part of the Commons Simulator game. An implemention of Conviction Voting as a smart contract within the Aragon Framework was developed by 1hive.org and is currently being used for community decision making around allocations their community currency, Honey.\n",
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"\n",
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"\n",
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"## The Word Problem\n",
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"\n",
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"Suppose a group of people want to coordinate to make a collective decision. Social dynamics such as discussions, signaling, and even changing ones mind based on feedback from others input play an important role in these processes. While the actual decision making process involves a lot of informal processes, in order to be fair the ultimate decision making process still requires a set of formal rules that the community collecively agrees to, which serves to functionally channel a plurality of preferences into a discrete outcomes. In our case we are interested in a procedure which supports asynchronous interactions, an provides visibility into likely outcomes prior to their resolution to serve as a driver of good faith, debate and healthy forms of coalition building. Furthermore, participations should be able to show support for multiple initiatives, and to vary the level of support shown. Participants a quantity of signaling power which may be fixed or variable, homogenous or heterogenous. For the purpose of this document, we'll focus on the case where the discrete decisions to be made are decisions to allocate funds from a shared funding pool towards projects of interest to the community.\n",
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"\n",
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"## Converting to a Math Problem\n",
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"\n",
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"Let's start taking these words and constructing a mathematical representation that supports a design that meets the description above. To start we need to define participants.\n",
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"\n",
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"### Participants\n",
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"Let $\\mathcal{A}$ be the set of participants. Consider a participant $a\\in \\mathcal{A}$. Any participant $a$ has some capacity to participate in the voting process $h[a]$. In a fixed quantity, homogenous system $h[a] = h$ for all $a\\in \\mathcal{A}$ where $h$ is a constant. The access control process managing how one becomes a participant determines the total supply of \"votes\" $S = \\sum_{a\\in \\mathcal{A}} = n\\cdot h$ where the number of participants is $n = |\\mathcal{A}|$. In a smart contract setting, the set $\\mathcal{A}$ is a set of addresses, and $h[a]$ is a quantity of tokens held by each address $a\\in \\mathcal{A}$. \n",
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"\n",
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"### Proposals & Shares Resources\n",
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"Next, we introduce the idea of proposals. Consider a proposal $i\\in \\mathcal{C}$. Any proposal $i$ is associated with a request for resources $r[i]$. Those requested resources would be allocated from a constrained pool of communal resources currently totaling $R$. The pool of resources may become depleted because when a proposal $i$ passes $R^+= R-r[i]$. Therefore it makes sense for us to consider what fraction of the shared resources are being request $\\mu_i = \\frac{r[i]}{R}$, which means that thre resource depletion from passing proposals can be bounded by requiring $\\mu_i < \\mu$ where $\\mu$ is a constant representing the maximum fraction of the shared resources which can be dispersed by any one proposal. In order for the system to be sustainable a source of new resources is required. In the case where $R$ is funding, new funding can come from revenues, donations, or in some DAO use cases minting tokens.\n",
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"\n",
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"### Participants Preferences for Proposals\n",
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"\n",
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"Most of the interesting information in this system is distributed amongst the participants and it manifests as preferences over the proposals. This can be thought of as a matrix $W\\in \\mathbb{R}^{n \\times m}$.\n",
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"\n",
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"\n",
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"These private hidden signals drive discussions and voting actions. Each participant individually decides how to allocate their votes across the available proposals. Participant $a$ supports proposal $i$ by setting $x[a,i]>0$ but they are limited by their capacity $\\sum_{k\\in \\mathcal{C}} x[a,k] \\le h[a]$. Assuming each participant chooses a subset of the proposals to support, a support graph is formed.\n",
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"\n",
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"\n",
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"## Aggregating Information\n",
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"\n",
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"In order to break out of the synchronous voting model, a dynamical systems model of this system is introduced.\n",
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"\n",
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"### Participants Allocate Voting Power\n",
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"\n",
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"\n",
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"### System Accounts Proposal Conviction\n",
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"\n",
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"\n",
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"### Understanding Alpha\n",
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"* https://www.desmos.com/calculator/x9uc6w72lm\n",
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"* https://www.desmos.com/calculator/0lmtia9jql\n",
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"\n",
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"\n",
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"## Converting Signals to Discrete Decisions\n",
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"\n",
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"Conviction as kinetic energy and Trigger function as required activation energy.\n",
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"\n",
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"### The Trigger Function\n",
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"\n",
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"https://www.desmos.com/calculator/yxklrjs5m3\n",
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"\n",
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"Below we show a sweep of the trigger function threshold:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/javascript": [
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"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
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" return false;\n",
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"}\n"
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],
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"text/plain": [
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"<IPython.core.display.Javascript object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%javascript\n",
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"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
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" return false;\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import warnings\n",
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"warnings.filterwarnings(\"ignore\")\n",
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"\n",
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"from cadCAD.configuration.utils import config_sim\n",
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"from model.parts.utils import *\n",
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"from model.parts.sys_params import * \n",
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"\n",
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"sim_config = config_sim({\n",
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" 'N': 1,\n",
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" 'T': range(100), #day \n",
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" 'M': params,\n",
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"})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"for reference: max conviction = 5.25318713934522in log10 units\n"
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]
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}
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],
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"source": [
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"supply = initial_values['supply']\n",
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"alpha = sim_config[0]['M']['alpha']\n",
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"\n",
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"mcv = supply/(1-alpha)\n",
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"print('for reference: max conviction = '+str(np.log10(mcv))+'in log10 units')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"supply_sweep = trigger_sweep('effective_supply',trigger_threshold, sim_config[0]['M'], supply)\n",
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"alpha_sweep = trigger_sweep('alpha',trigger_threshold, sim_config[0]['M'], supply)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
|
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"scrolled": true,
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"tags": []
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},
|
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"outputs": [
|
||
{
|
||
"data": {
|
||
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qqfxb6LYQERGljkEQIiK79kVW+2MZWXr6Hw+sKvEyAJ9CVjvkLAB/3nQDiWg8Efk2slovzx+sz0FERETN43QYIiIiIiIiIkoCC6MSERERERERURIYBCEiIiIiIiKiJLAmSE5kNwV+K3QzKrAhdANm4DEm56XN1rcLCd0A+6xsaiHbEeq1m959mtwdmnhvdb+fut5DXdtb1c9b1fNZep5ZP9NZtrlpX3ua993EY8rcv9R9i5W3kbnJ0+7nNkx+rjnMfh8Zc/scRrdz3POOuk1GPF+Z+w+7b5HrijxX/+Vxj++/bdT1O9+nl1+3/r6D/0pekmHurvyOPWD7w3p9//aGXL4rv2//7Xeu/1fvAjp3AdsAdJD9+wvgZlW9JyL1EBFdrfH5fwF8XVWPqPElGsEgyHa/hay+YAy2hG7ADDaHbsAUlkI3oCDrfbsxdAPWsxSbUQCbQjcCwELg1w+1GTfd9032cxN9umuNz71c43PX0TdV90WV73+xoueZtU2z9vssfTxt26dtc9m2lm1fmc90U/E6gXPLrUL3W1jsTrzP0qbJzzU/V+B5MP55FsfcvoDRzz/ucUtoj3i+TqnnGvb6w+477PUGX2ux0H12PPfgc8733bf/tv7nGPX4tcf2X7f2uczn73H75U5+39U8KLIKbH+JtbP4O/L/r13uAFjJL3fyf9fuc2v+7y07Lm+7BbjiNuBGAFcg+/fNwNWI2CrqrZL/ZmCPGp++MVbGFg1gwXYbbg/dgIixb0tj3ej1hh/XEYVT55AXhTHrz9UdlbSinKZ+Yuvc3lfCRP5bK5MHk7q9+QZaEod2ZdHMnXX6ovPtugYAQw+0UDIYBNnJ8GiuP1tDN2BG3k7Wi42G0CTbQjdgOEuBkJXQDTAg1NdD030fW7ApxElpFerY3qruCwaBqhVbf8ZyaFuzDkYHWaY54e84Optv1RA0qeM5iarEIMg6sfxaeA+EeOMlEGI9wGQ0EGKJhUBI6BN065uxNzH0Z2wnrqFUdQjEzyN6vdVigYFOmxkc/coEVGrLtiAi1gQZro3qJsaGtBV+64PcDvs1LAa14KM+iMe+DUxhqz6IBR2kl7a6gmZrg6TYx0RrUvmpugP11syhqLSwOLIOSQyvN5MFMACLLMMhhrPYujETZCQnO/xEnjNCYhiepPKYDTKRhWyQ0Pj1UK0m+pNTYnbglJj6xVwXhIZqBRiI4rQPIp8YBBmLgZDwvB1RcFpMNQwGQizVBrEi9LSYEFgbxC4GAqoRy6HPLKxvSxEWR22C5ekl42qSWMdAEHnEIMhEPBqgshgIiZalQAizQbgJV43ZIFQl64GElDg4lC2yQgwN56kI69TqXAqdksQgSCEOfj0mYjZIs7wEQiwzmA1ijYVASIqZCswGsauuE29OiQnD488/1YbL5BJRVVgYNSkslEqDrPfrNgAbQzdiZyySaov1TdibJvqThSDti6U+vJdtzUs7B/RWlzC3PHnQp9Oex8Jit4EWEdEG+D3baxIzQQqLIRsEYEZIk7xkg3jrVwM4LWZnKWYqMBskPR6yQazxnJ0ybdv5k+rWuLocluuJVK1b8/SaEAVsiQYxCFIKAyHheTu6YCBkdpwWQxNY3nypeZ5PvGeV8ntPDT9rIqKpMQhSGgMhVJaXQIhlBgMhzAbZWYqZCrFmg7BAKgF2DncY5KxGmc8z4hVimjSqYGlKWSXjdBdqyjhhEVUqgEGQqVg5MkgVj4jqwX6lGYUMhHDzpX4pF0ilnXnpXy/trFEVK8RwqsVwgwGZugIx46bSdB0vA0zxYWHUqcVQNYyFUpvTAlz8MFvuVxZJHWsFwKbQjUhQ0/3eARpZDZEFUv1aha2RUGvtKWPatlv+KU1cG0tYrDhDt4VFLHGAdGqt5TksrfZCNyMaG8CvnyKYCTKTGL7wPE+L8Tb0y2kxs+O0mLFSnxbj7SuByDorhznct83qrRYb4Om0q8kCSG2Z3GkzNtruB2qr43W4l+rFIAjBdyCEqsejTaJSLASf6uD9q4BTYih2LI6apBYDHEQzYxBkZlaGSWblNRDi7SjdSzaI5X5lNshYFk7ImQ1Sr5iK0PLkvx7WTo5Dt4fbWYbFUckLr1PoyA0GQSoRSyDEK29nPV4CIURUmIXgUx28fb0O8pQNQjZNuw1Ns40wWJO0TsDCoXVml7BYLVnEwqiVYaHUsLxVIfNQKNVyn7JI6lgWiqQ2VcBzGMubblVC9m/VWCA1Y7UfrBzepLBfU3AdzGMB3aG31VFUlWq0DOCW0I1o3hzsn2FYwEyQSsWQEeJ1WgzVw/JwJ6fFkDGxZoOQT6GnoFAyihZHLYLL5E5ncAlcIhqPQZDKMRASjuUT9mE4mkA1snBCztog9Wqqf733JafE2BA6KBPrVJPQ/erQtCuuTCO24ET/+2myH4mqxiBILRgICcfbUamHQIjlPmU2yFgWAiGpYZ9PJ9YT1LKs9kMMhzWzaDLQYHUbqACXyfWJq9FQjBgEoQhZPmn3ynKfGgyE0A7MBqkXs0FonNiyBLxthxbbyxVialE2UMAsihK4UgzVgIVRa2OlktgsWCi1GR6KpFIpLJKaNvb5dOosDLqKeg6kPf3UWFDX50BERACyDAf+LE3GTJBaxZA/6nVajDecFjMbg9kglqbFhMZskHqF7F+qntXpEDEc0ljtWyKCMkBKDWIQpHYxHDV4DYR4O/thIGQ2BgMhVrBOBVXB8u5fRGxTQ1IVaju0vP0YaFuVK8RQHFhLhCxjEKQRDISE4/2onVxjNsgOqWWDMPA0HY8j9dZ/ZgycICdtmu3D435QodDL5HZgq/BqVfVDyqxU0y25qg0DHuQNgyCNiSEQQvVjNshsmA0ykoWTck7bqA8LpMYl5pNgBmXCC1gctaoVYkKxUtCUQQei2bAwKpXgtVCqt8p1HgqleuvTgCwVSU1ZiE2WBVKn47FAaipiqPle5/ZFjen25jE/15368W0sYdHgwFMH81jA9O+rXxuLWBwT8bLaBzSbOfj/mm4CM0EaFUM2CKfFkHUGs0GsTIthNkjcmA0SjvU+iS37gnVBiIhoBgyCNI6BkHCsH6X28xCZt9yfBgMhVlgIhITC2iDkCafEUBnsU7PK1OIgomYwCBIEAyFUBAMhUbGSDWIBs0HqE0vf1hkA4MnibGI4hGlaIsVRuUIMEXnBIEgwPIoIgyft6WA2yEgpZycwG6Qa/Cpdz3qfMPizg8MAQ+WMH4ZWsUJM00IXK00q44S1nWhGLIwalPcKYyyUWj8WSY0Ki6Tu0AFSOl6jKbCAJftgHP70NGdFgE3VpTN22vNYWKym+KdnLEw6owUwuDvEBvg8O2saM0FoRl6nxVgfsuvn4QfSan8yG2SkGLMTioo9G4QFUifjgXN4Xj8Dr+1OUMv8IJItoTNZ6rCxL2OEMVPqxyBIcMbzEQvxGgihNBgLhLA2yA6x1K8gWmM9MFTVCXwMhy5Na2LbSCxA0+3N1/bcHdT33EQxE5F9ReSivr+tIvLqIfc7NL/9UhE5q+/6q0Tkkvy28+tqJ6fDmOB9WoxXnnJpOS0mKlamxawA2BS6EYGE2Fyb7O9YphvVOR1kFT7mlXNKTD089KuHNiaI01hqtgAOkjimqpcD2B8ARGQDgOsBnNJ/HxHZDcBHAByhqteIyJ4DT3OYqt5cZzuZCWKG92EVr9kg1oft+nn4wbXan8ayQWgHHuj4ZnWXD4l90hz2Nc2gbX5wyaduyAi8h8B2Wg4H8HNVvXrg+ucB+LKqXgMAqnpT0w1jJogp3jNCvBZK9cRDRohV2wBsDN2IHZgNEl7syUuxZIOQTVUcsnjJxhnktd2Dajjs7K0uYW7Zw6CNL8w+oaIaKIy6x8A0lRNU9YQR930OgM8Puf4hADaKyLeRHYl9UFU/k9+mAL4hIgrgo2OeeyYMglDFPAZCYj8Tahr7k0pK6WQ9xqBT3bs8p8RU2wde3jPZUvEKMUW0VpawtCm9E/8O5rGAOFfP6WIe85G+t4TcrKoHTrqTiMwDeDqAY4fcvAuAA5BliiwC+J6InKOqPwVwiKpen0+ROVNELlPVsytsPwBOhzHI+7QYrzzl1KZ3QFAdY9NirBRJ5UoxRNXiduXDHQ2/Houjbtdps/DorJpczaX/tToVjFoUXrlnUvCXAV3LngLgQlW9ccht1wH4uqqu5rU/zgawHwCo6vX5vzchqyVyUB2NYxDEJO+BENYHqZ/1QIinviQA4QMhKdUGiXG53Lo1fbJKzZn1pD32nxtu+66MCkxUETigXGzZlPF6LoZPhQGAUwEcIiK7iMgSgIMB/ERElkVkMwCIyDKAJwP4UR2NYxDELAZCyDurR6bMBqEBVjdVTzz3oZOR80pxqVyKxKRlcgtnHESqPRCUsRaM6S7Yag9VIw9gPAnAl/uuO1pEjgYAVf0JgDMAXAzg+wA+rqo/AnAvAP8uIj/Mrz9dVc+oo42sCWIaC6U2z1M9CxZJnR6LpA4Vul4Fa4PUI6V+taTqnxMul2pLLLVVvB9q1ijm2hxVYcFWewTAYp1n+HdOvouqrgK4x8B1xw9cfj+A9w9cdyXyaTF1YyYI0TqehjSt//B46ktKGjfV2dXdh5wWQHXgdlW53ioHaIriMr1EYTAIYp73XFNOiyGrZ5ecFjMUa4M0h7VB7OCUmOlVcZiSUl0Qz8VRVyykLFZr2iBELMGLce+jW2EKYePTkmLI0qJaMQjiAgMhzfN0RGU9G4SIKFFV/5QwayFNCX/urZU4gg1NsVbzg8gqBkHcYCCkeQyEVMdqXzIbZKhUs0GsbqaecEoMpSTFDKIKcZlcqgRrJdEUGARxxXsgxCOeFRFRjTglxg6e0KaLwTUioqRwdRhqkMfVYjyxvlqM1ZV3uFLMUKmuFGN1M/Wk7j70tkqK5VViqlrhpIoVRmZti6d911pbuUIMVaCFRSxNOWDbWp7D0mpv8h0XwID+BBs2AJvrrIlyW43P3SBmgrjjPRuE02LqxWkx0zE2LYbSwmwQO5gNQlSJJleI6fbGT6tpvChnTWIpxkpkAYMgLjEQ0jyrJ+8UJdYGybA2CBFRpuyUHa4QE0yrgrSaDuKol1JFXxDVgUEQt7wHQqg+zAaZjrFsECuBEGpG6IBT1VggdWeWV4mxtFSuR8weilqVwQgPK7cwaEGpYBCEAmE2SNrYl26EPjlnNkj1OCVmPJ7UhjNr38+y33oLrEWCK8QQUQgsjOqa90pWHgulWqtmNor1IqlWsUgqBRS6GG3VvHxdEoXA/aOw1soSljbVl+XaxhIWzWfRDjdLMdKoLIMB7JzMARtZGHUiZoK45/2Lz2NGiBfWf9CtDrUbmxZjAbNB4hNDNkjqI/epv3+qlvfDyQCqKlTKgqf1Wxz4l4hBkCjwl6tZMZ8ZkTmsDULUvDpGFC3/dLAuyGyaGoG2UhyViMg5BkHIAI/ZIJaPZvsxG2Q6zAZZh9kgzYhtuVyruzjZxbog9hVcIabJZXKpOA8FWonqxiBINLwPv3gMhHjBQIh7zAYhGo4nrUQEoNsbX2C1lfCUk3Ysk0DqrHNByWFh1Kh4L5TqDauaxc1YkVQLQhfu7ABJDGCF7mfKrKL6g+6qfzbuALBrRc9Vx/ul8XgYQTQai51OR1Dd70LEmAmyXS90AyriOSPEYzaIlywGZoO4x2yQcGLePGOYEsNsEFs8H4ZQEFwml4iaxiBIlDwfgXgMhHhhPRBiEWuDrJNqbZCmhe5nopA81gWxWhy1DMOHj62VdKezlFVXzY9WX7Z5Xa+hzEajhjAIspOYh/s88RYI4XZTDav9aCgQwmyQcKxunlWIIRukLh5WiWEmDI3D6QSFjFumtoPymSotR9PT61iit5vE3FXyjEGQdbweqQ0yHM6Pkpftxno2iJd+TByzFMgaBgKqwRNmKoorxEyFK7MQ2cDCqEPFUqnKc6HUrQC2hG5EpFpAwlXSp2OoSKoiK3qVslAFUpv+aWCBVPLK8+FH02I55KTKdTCPBXR3uq6NJSw2OKDVxQLmvcxDXUY6U2bH2QAWuS6AmSAjxTIi7TkjhNNi0sR+nMjCtBhmg8SFU2JG45SYMELWBSEqqI6pJERUPwZBiCrl5ajL+rQYiwzVBqFwoz1N7+IMNqbROAQAACAASURBVBUXYyAgBE6JsV8clYbq9rjKTAgMBJFHDIKM5eWEdhJmg5A3sex7NWI2CFWNacRUJc+HHtZFuEJME8vktgyfrDOQMAGnd1DFGASZKJaTMc9HI94CIV62GevZIBb7kdkgpvCk3R+Lu3URHqbEEI3CDJWoeVqJhsgKBkEKieVIxXMgxBsv24z1QAiNxWyQMDglxq6Up8TE+N5TOXn3csgQWGuF2RJEEwmy4vF1/UWCQZDC+AsVlrdsEKqGxf2O2SCmMBukWiyQSkA8wYdZtjXWBZmMy+RGiZkllAIGQZLjORvEWyDEy5E+s0HKMxQIYTZIGMwGSQ+nxJTn+ZCDkjOuLkcHLLpalS77kgxgEKSUWI5WPB+VMBBSD8uBEC99SMEwG4T6xTgtpKiU33tq+FkTEU2NQZDSeEJGRACzQQakmKkQazYIp8QQYGdah5V2eFemHz2PlRnCaSXj1bZaz671PC3FZZfQDfDpdgCbQzdiRm3A7ZfzVgBbQjeiBC/bSwswu0Sblz6kYDqIqmAXGbUKLtXojZefDy/tNK7bm8f8XDd0M8bqYAELDacwtrGIxcDRrRaWsGQ68zgSc+DvVAHMBEma51A/p8Wkx2IfMhtkJ8wGiYf3KUaepgrEug2t8XyoweKojeq0668VUUf2wbhaIlZ1aho1YPYLecEgyNRiOWrxfHRC1WOEnhzzfuJeREyBplh+Rq3xFAAi/wquEFOV1JbJnbYga11Bjjp0F+pt6yLnPdAQDILMhEdwYTEbpB6WAyEW+5DZIDuJ6SSdfKsrGJDSKL+V92qlHdY4CnhxmdzqeMw8IbKGQZCZWTwpK8tzNggDIUQUGAukTo9fiRn2Q73Yv0S++ElkIaeYIEQ5z4VSqXosklrONgAbQzciowCazU5ebwXApkCvzQKpRFmGgKUVEniIUUzdP29lCvvyM2tcG0tYNJ2NSy6wMGohzASpRCxDDF4zQpgNkh72IRkT6ybpvc4Kp8TQrFgclRJQ5xQbFkslixgEqUysR8BeMBBSPY5GlMPaIDsJWRvE+4l7ETHVXvHwddgEq/1g5WTeSjsoauOCAdMWKaVAmBVKYzAIUimrRzBleM0GoXpYDoRY3N8MBUKoeRY3SSIiR6pYJrfbSy9YwWwLonIYBKlcDEfBXgMhzAYh2o7ZIPGLqUBqnRytoFEpa+879KFFrD+5Fj7nhpfJpXAYbKFYMAhCkfEWCPGA2SDlMBuEqDSLu/IkdUzPsNoPqU9FsRBoiEBVy+S2VmZ7nlaDhd9jDhp0ON/EpjlkhbHr+osEgyC1sHoUU0boIZtUxLCtkFnMBmked2mi+ngLxkzT3rq/Q8q0iYeCtfEUQOiGbmtEJ94pEJF9ReSivr+tIvLqgfv8FxH5noh0ROQvBm67SkQuyR97fl3t5BK5tbG4jGdZXtdH2wpgS+hGlOBhW+GSueUYWjKX4tbUcsTelx62tmRsU1J930QN4/K2RBlVvRzA/gAgIhsAXA/glIG73QrglQD+cMTTHKaqN9fWSDATpGYxDAl6HQbgtJjq8cfdpdSzQUKI4as/BI/95i0zIbTQhxQetzEiIr8OB/BzVb26/0pVvUlVz0PAOeQMghCZwCOz2VjsP9YGMcF7Uc8iWCA1Lha/zgAGfCxjzRKKQGuZp6VO7CEi5/f9vXTMfZ8D4PMln18BfENELpjw3DPhdJjaWUzVL4vTYprhYVvhtBiXFEDo4v1NTdsgGoVTQ+KwCmA5wOty+xlvRYBNFlIPyYouFjDP6Hnz5lD3d+TNqnrgpDuJyDyApwM4tuTzH6Kq14vIngDOFJHLVPXsaRo6DkNujbA6rFNG6BzWaXFaDIXEbBATWCDVD4/9Zj1DglkCYVksjmpcpz0/83N0e9M/R9vYYE8Hs/cHALRLDGiWXdXGWp+RCU8BcKGq3ljmQap6ff7vTchqiRxUQ9sYBGlO4r9oVJCH7cRybRAP/RcIB+jixikxcYn5q8zrmEpMAq4QU9UyuaFUFZCYFYMO5MBzUXIqjIgsi8jmtf8DeDKAH9XQNp9BEBE5QkQuF5ErROQNY+73RyKiIjIxZYeK8Hrk4i0bxMPRr+VAiDXMBtmOy+VSaMyKmI31rJciuF9GobUSZxCgyuCGp2V4KS55AONJAL7cd93RInJ0/v97i8h1AF4D4M0icp2IbAFwLwD/LiI/BPB9AKer6hl1tNFdTZB8qZ0PI+vY6wCcJyKnqeqPB+63GcCrAJzbfCtHiaFmAeuDkHUx7Gc1sVAbhOoTS90Vj7twqDoVRcVWz8J6f5N5LSxhKfEBnQ4WsMD0PqqBqq4CuMfAdcf3/f8GAHsNeehWAPvV27qMx0yQgwBcoapXqmoXwBcAPGPI/d4F4K9hbtyHQxBUhIftJO2Dh3KYDbIds0H84zEzpcrYEeVOLLeNiJozB2Chxr9IeAyC3BfAtX2Xr8uv205EHgXgfqp6epMNSwenxZB1MZ55VoS1QciDOndhLyeLMX+NeT2MmBaLoyatbJFRIqqfxyDIWCIyB+A4AK8tcN+Xrq1xDNxWf+O2i+GXzesRjKdAiIfthNkgxTEbZLuQ2SCxY4HUcGKol1FEDO/Tw8+rRytpz7dksVIiPzwGQa4HcL++y3vl163ZDOB3AHxbRK4C8BgApw0rjqqqJ6jqgdlax3erscnD8BeYiuB2Mj323UgpZ4NwSgylyksGDDXDeDCrimVyU5NUxkkM9a8oKI9BkPMAPFhE9haReQDPAXDa2o2qepuq7qGqD1TVBwI4B8DTVfX8MM0dx/uRMbNBCLCdDWJtH2M2yHbMBqFJOCXG3leYJcZP4qPCZXJrwdVbZsTiyDQDd6vDqOqdInIMgK8D2ADgE6p6qYi8E8D5qnra+GeganG1mPp5WCqhBTAN1JeUV4rpoPniXk3uxk2tEhOiHykeXg8fYltpJ2Ld3jzm57qhm+FGG0tYND2wNYW+fTWZo9Q5MEBUgLsgCACo6tcAfG3gureOuO+hTbRpeh5OcCfxeiRDabC2j20DsDF0I2yIZUlXojXWl26t6gTe+vu0qIk+SyxA01pZwtKmek7aowwIENF2HqfDRIj5rmF4mhbjYRvhwYI7rA0Sr1imG3n46qsb+6AeHvrVQxsT1AHrldRJGWClBjAIYob3XzrWB6mf920kJGt9x9og28Vysl6Etc2wCp6DSV7qgtBorAtCM2ilM0GiUUELtHKKJhXEIAhVyGsghKrDbBB3Us4GIaoDT8yL83rYEEsArY5tNfFlcuvC7BOiarmsCRIva7ULUsEiqWmw1nesDRIcC6T6YG3X9Y51QWgaLP9G5AMLoxbCTBBzvOdLex3WoeowG6Q4I9NiQmeDpDQlJkacElM/74cGVrFfTeu008x+aEc8TYdTkMgKBkGoBh4DIawNUi2rgRAPfUeN8nwCXwQDTGFwSgwNM812UfZny0lgr7fKk+FZNRks6falTVZR86NbdHrPsIyGhRH/JyqBQRCTeKIWBgMhFAKzQQCkdbLO3bc89lm8Zh03YcCJDBkVmAhaLLRP20g7iEJjEMQs70d8HrNBqFrMBiEnYs8GaYLnPnQycl7pV1dV75kBCAqstTI+G6LbS3NKzZqO8VQJTo+hUFgY1TTv1eA8VtFikVQKwUiRVAUQsrB/LIU8i2CB1PixcGjcqiowGxq305HaWMKi2QEdGzpYwILrKHiE5hDHd1PNmAlCtI6naTHWWT14YDYIUeXqPg7mbkt14HZVPS6TW5j1TA2iWDEIYp73X2dOi6mX9+0jJGt9Z6Q2SGihaoNwICttXqbExCqluiCe2joowkO61KdjjAvCVFnHpPGaKMxuogkYBHHB2slaWR5/NT1lg1jfPqxmg9BQoQukpqTJXTelwrMxY12QNEW6QoxnnaKrmxCRSQyCEI3kKRBindVAiLUAErNBgmI2yOw4JWZnDBAQjVRkmdxOm8GGMqysQtMoZn3QFFgY1Q3vRTA9Fkn1xPv2QaawQGpzWCDVjlgKXVJzuM0QkTVzYGCoAGaCuOJtCGwQp8WkjdkgxTAbJChmg1BKOG0iY+1ngIiIasUgCFE0eBRHFQpdG4Q1LPzilJidVT0lxuL7r+I9sjhqONbaQy61Zygy210ouEoOMxyoIgyCuGPx6KcMZoPUy/r2wWwQonVYINUOZkYQVaPBZXJbK+NPvru9OOqKsBgrUXUYBHHJ+wkbAyFE4xmZEpNqNginxBCRNVZWiPF4COfQLFkVlnTHLMFLFBKDIG55D4RQfaxvG8wGIVonts2PU2LqZXGp3FSx/2jAqACGh5VbYgm+JE0ALNT4FwkGQSgQj0MJzAahJjEbBACzQerAKTHNS6Hmgve6IKkH1mgoBgWI4sQgiGvef7E9BkK8sL5tMBuEiIziyD5RY3qrk4MMnXa9tTBajgMdDNLkuFQ1lcQgiHs8aWsWs0GoScwGSUpsX+ecEkM0mrXsIGvtIarQltANIHMYBKHAPGaDeAmEWD9DYDYIFcQpMdXjlJjmWV4ql9kvRKVVtVpLJ6ZCC8YxGEJrdgndAKrC7QA2h24EmWR922gBTOWcYBuAjaEbkWWDNLfiYbqs77KpuANMr57GKoDlGZ+jDTioH7mzpraXst8PobfjFQE2MZWQqFEbMPv3cAKYCRINz6PXzAYhazzvT5FiNkj1muhTTomhprE4av08HrYlbDDTpO0uykhUPQZByAj+otbH+lGd1WkxlhipDUJERGRQa2V8Vmm3V29xVWoAsxuoQgyCRMX6yW5smA0SN+5P64TOak6ljgU3PRvqqJPBuiDUj8VIiUZjqRSqEYMg2/VCN6Aino+ePWaDeAmEWN8umA0yGbNBguGUmNlwSkxaeGJPRETGsTAqGeOxIhrFi1Uq12GBVCKq26yHAlUUaC3LanHUMkL0G4De6hLmlscPhnTa81hY7DbUIt9aWMRSDQOLXSxgPo9q1/UareU5LK3GMjAdyByATaEbYR8zQXYSy2g0h8WaxWyQasSy/9WJ2SDJFEi1vrumIrUpMRRff3Ka08zaU6xiN81jQuESvZQiBkHWieVEzPOvuMdpMV543i5CYZ+tE7o2CFUrhikxVA2eMFOiWg0FLVqJZDun8j7JLwZByChvgRAv2SDWxRKErBOzQVggldZhX9nCuiDxK3qYtsL5k9Malk3SAVe5IaoCgyBDxXIixqPCZnkJhHC7KI99tk6K2SDMZiBqjrexkGkxYESGucro4BK6VAILo47UAhzN5xvNc2FHFklNUyz7Xp22AdgYuhFhrYCFv6rURH924HPJwzoKXlZdgNLzT31dYi6OSmZ0MI8FsGArGTIHn7+1DWMmCFGlmA0SL/YZgQVSLWNfVYN1QexvS9bbF0hrZfwASrfHqSR1YGFVGiQiu4nIySJymYj8RER+d8h9DhWRi0TkUhE5q+/6q0Tkkvy28+tqIzNBxoplRNrzEBGzQdIUy75XJwPZIFwul4hGCbTcKs3I8DK5MetgAQuccznarmCA1pcPAjhDVf9YROYxcFAvIrsB+AiAI1T1GhHZc+Dxh6nqzXU2kJkgE8Xyhex52MDbxGBmg8SLfWZKKgVSm8JVYkbzsFQu0Sg8eYyap+V4KX4icjcAjwPwjwCgql1V/c3A3Z4H4Muqek1+n5uabSWDIAXFEgih5ngJhFjG/W4yAyvFsEBq/Rh7Ky7lvorxvXsbA5kWA2KFdNqczkLkwN4AfgXgkyLyAxH5uIgM5pc9BMDuIvJtEblARF7Qd5sC+EZ+/UvraiSnwySF02JokPVtwuK0GOt9lhgWSK0W+5OAeAp8ckpOvYoemq0IsCnFiDlRAHOo+3tvj4FaHSeo6gl9l3cB8CgAr1DVc0XkgwDeAOAtA/c5AMDhyL5Fvici56jqTwEcoqrX51NkzhSRy1T17KrfBDNBCotlVNrzUJG3ISEv2SCetwkyIcVjW2aDTM/rlBhKy7T7HKeekHN1T69pmRvcopJuVtUD+/5OGLj9OgDXqeq5+eWTkQVFBu/zdVVdzWt/nA1gPwBQ1evzf28CcAqAg+p4EwyClBJLIITIE4v7naUzUgNTYogsqWv3ZF2Q8mJ/fyFZ+hmKxLiTc9bdICpGVW8AcK2I7JtfdTiAHw/c7VQAh4jILiKyBOBgAD8RkWUR2QwA+RSaJwP4UR3t5HSYJHlO5/c2LWYrgC2hG1GA522CTAi5UgyncFSL/elXjF/l3n72Y8BpRJVoYwmLJgdybOhiHvPoVv/Ey2BGVnivAHBSvjLMlQBeJCJHA4CqHq+qPxGRMwBcDKAH4OOq+iMR2QfAKSICZHGKz6nqGXU0kEGQ0izWKJhGjEdKVnkJhFhmcb+ztA8ZWC43RR0ACw2+nqVNblZN9x2VF0tdEMok8nm2VpawtMl24KGFRSw1PMWbS/BSk1T1IgAHDlx9/MB93g/g/QPXXYl8WkzdGASZisUTspRwWKgeMZ1hUXKYvUD96vo6q+NEkqPu9fLSv17aSTTGuOyXEMGfJNVfGDUKrAmSNM8TSr19iXopkmqZxZEdS/uQgdogLJAaj5XQDaBoeK4LwuKojeqt1j/A2O1Vv8xuB/6W7m0bGkxkoVQKgUGQqVk8IZuGpZM4Co/bA5FpMe2isQaQQotpGyH7Gh6T6rT9BRxCaBkKchBZxCDITGIJhHjFbJD0WNznLJ1xJJ4NwuwFakJKo/xW3qu3n3tabyVU5Wzfhq1K4zHzJKTNnBpCQzAIQrB1EkfhcXsgKiXWjAbvQSVPX2Wep4xQOJ62cSIiQxgEmZnFkelpeP0l9TY85CUbxPL2YHGfs9RfzAaJnqXNbVaxBpBCs7aNhA7yhH59K8pk9rDPKCBl9sb05pAV8K7rLxIMglTC4klZShgIISIioho0GVBi4CFpnYDrhod8baIQGASpTAyBEGtDRxSW5e3B4v5mqb8MZIOEFCIbpOmMhqY2N++ZNXX1k5VaGU2w8l69jXdY6TcqZdxKJcPqc9BkXQZYyCAGQSgS3o6OmA1CkUtxuVyaDqfEZJgFQERUHU6poTEYBKmUxdHpsiyNZlN4lrcHi/ub5f6i2vFknizh1xE1pcJxqN7q7NkWrZX0MjaYpUJUzi6hGxCfFuD+i+h2AJtDN2IKbcDVuuhbAWwJ3QiK1jYAG8M2QQGEWhVxBcCmQK/dlKa+qr33ZV39dAeiKhJXu1WEHZkN/fp18XrIRi51sYB5Rvxtm0Oc33UVYyYIRcbbtBgPLA8nMhuEKAo8pibL+LVejZVqouKd9vxMj+/2Znt8GTFnaLRcDTwS7YxBkFpYPDEri7/4zWBtEKqTgQKpqS2Xy5N5moXVuiBWinx6G+eYpt/q3ga4TC6VxGAHxYhBkNowEBKOt6MkD4EQy9uCxX3Ncn9RVLhKDI3DryKiRnRQLruEgYUSOLWDasAgCBFR1AxkgxAVUWcWDZfKtYGZBUREZAALo9aKRVLDYZHU6lneFmLY1yKWWoHUDoCFhl+T4hFrAU8L2LdEFDsBj0EKYCZI7Sym6qfC27QYioulPHRmg0SNU2KoCcx6scvSzw3RlLoLPHOn5jAIQgXw17UZrA0yGwYcTQtZIDUEFkidjscpMdbF9r5DjW/E1o9Vq/Bz6a0ys7Of1xVmWPeELGMQpBExnJx5/fVnNgiF5HW/iQwzGKhOzJCgcSyuEJOA1sr0gYOW06DDJJ0ScyTKBl7KPDeRBQyCNCaGQAjVj9kgs+F+NhqnxESNU2LiEvNJcMzvzYuQy+SuhCoQVQ0rWRllV6Mhop0xCEIlWD75HYfZIBSS1/2mBiGnxIQ4eeeUGHu4O84mhqwXBmGi0GnHGQSoMqOC01GIRuPqMI2KYQULyyuEjONptRiuFDObGPazumwDsDF0I4jG87i6zh0Adg3diDEsf2UTBdDtzWN+rhu6GUG1sYhFDhTGZw5QroI1ETNBGsd0fSqC02Liwr7aLrUCqU3ilBhKBYujEhHRDBgEoSl4PQpgtDsdDDaOlnBtEE6JIU9inrYR83sLxeuhWQKs1BEhoh0YBAmCJ2hUBLNB4sK+2o7ZIPWJZTPjUrl2xVAXpGlcIYaIyBQGQWhKXo8imQ2SDgYbR2M2SKNizAbhlJj1rAcHvP5s14EBhnokfojFFVsa5K1uFJnDwqjBxFC80WulNRZJrZbX7SAE9hURERlgvJhvb3UJc8txD2a0sIilCiNHbSxhkQNAyettAFrLdeY59Gp87uYwEyQoflER1Yv7mFmcElOfWEb8OSWGGQvjsDhqc6reDlek4iekJG0qcB+ukkIjMAhCM/J6NOApZ5O1QagOnBLTKE6JSYP1KTGWMMBDNWuteM+4blYn8jkmzMOlfgyCBBfDSDVPgMkya/sY95ftmA1C5BODPeU10WeJ/bx02vXV4Gi5n7JOROMwCGKCtZO0VDAbpFqJHX1Fgdkg0Ypld4wxgyakWLaLKnjIRPHQxgRxydt61VvPgmIhIhtE5LJpH8/CqFQRFnwky6wVIub+kqQO4qtov4Ji87It8rIbroLz2kfxVOeczOn25jE/1w3djOgELdC6jOSD5yqC7kKdBxs2BpFV9S4RuVxE7q+q15R9PIMgZlg7SUuFpyMorhRDddgGYGO4l1cArJFHMTG+6oYpDPDEx9NhFRF5tzuAS0Xk++jLnVPVp096IIMgpngPhHg9Afb0i+0hEGKVtf3L6/4SEc9ZDEVwE6M6pRzsiWXfSvkzdIbL3xIN9ZZpH8hJV1QxTjgmbgNUUkoFUmNM0627vgqXyq1Wiu+ZZhegPklv1dLARXNiXqWl5WbQkTxQ1bMAXAVgY/7/8wBcWOSxDIKYwyhvGDbmtxXjoUiqVdb2LytnIwkXSCXygAUy69F0v3JVnR1WOA9yVh3UtzrOON0KgjSFV9+Z9FKcTpc0EXkJgJMBfDS/6r4AvlLksZwOY5K1tP2yYskTpelxGyAnQkyJabJAKnfFMDjNoDmeZrROo2zdFO7zJnmfztLCIpasDBgug4HhMXqYq3mJZyPbQeblAA4CcC4AqOrPRGTPIg9kJgjRdqZ26gmYDRIPZoMASGtKTIw8T4mh6VWR2cCTGYpIqOyMoqxNteka7y8yr6Oq25d4EpFdUPCIkkEQs/xGizNWTuwoHKvbgPd9iypX9wk82Wb1q6pOKb5nilKnPf4kurXiObN6dqzBQZE7S0TeCGBRRJ4E4EsAvlrkgQyCUI08HmUxG4QomJSyQZrMbPD4VUzrMWPCFu5XRAyyUGhvAPArAJcAeBmArwF4c5EHsiaIad5rgxBZnZxsbd+y0k/bAGwM3Qii4ZqspVIF1gXxoWzNjdjUsZ1GUqelhSUs1Zw9aqrWBpEzqtoD8LH8rxQGQcyzdrJWlpWTuzI8/XpvBbAldCOI/AtRIDU2nvvQ408V7eDpZ9tzcCz1gFGE2ljE4oggjOtirrsi2ey5HuaSqbUiIpdgfR7xbQDOB/BuVb1l1GM5HYZoKEblq2M1Z9jaD7uVfmKB1MZwSgyFVNU2weKo9nB/L6zbm+5kse16gLJ5VSyrS36IyG4icrKIXCYiPxGR3x24/b+IyPdEpCMifzFw21UicomIXCQi5094qX8BcDqAI/O/ryILgNwA4FPjHshMEBeYDULjMBuEiMikqkf9ORKfpoQ/997qEuaWrQ1a2OU6e4Ni8kEAZ6jqH4vIPNafyN4K4JUA/nDE4w9T1ZsLvM4TVfVRfZcvEZELVfVRIvIn4x7ITBA3+IXWPGaDVMfqsJS1/cpKPyWaDcJVYmbHpXIpJVa+sr1akdAtoBgwycQUEbkbgMcB+EcAUNWuqv6m/z6qepOqnofZDzg3iMhBfa/9aAAb8ot3jnsggyDUEB4p1IsrxRC5xCkxdrB/iIiIJtlDRM7v+3vpwO17I1ux5ZMi8gMR+biIlMllUwDfEJELhjz3oBcD+EcR+U8RuQpZ4OUl+eu9b9wDOR3GFU6LaZ6namvWWf38re1XVvspEZ6LexKVVdXXjYVin7P8XCc83YSI4tLDHFr1HtferKoHjrl9FwCPAvAKVT1XRD6IbCnbtxR8/kNU9XoR2RPAmSJymaqePeyOeTbJI/LsE6jqbX03/9O4F3EZBBGRI5DNNdoA4OOq+lcDtx8N4OUA7kJ2SPtSVf1x4w0lahRrg1CVAi+XqwCYKe1T3YGk1JfKjfWEPdb3NYyFoFE/a+0hlzpYwMKU6Y2FlyNeBgsp23cdgOtU9dz88snIgiCFqOr1+b83icgpAA4CMDQIIiKvGbgMZKvDXKCqF417HXfTYURkA4APA3gKgIcBeK6IPGzgbp9T1Ueo6v4A/gbAcQ03s0bWahiU5THfmLVBqmP18/e+X5FrnBJjB/uHqBoNHjp12uNXeGmtWMr2nB5XpCEPVPUGANeKyL75VYcDKJSMICLLIrJ57f8AngzgR2MeciCAowHcN/97GYAjAHxMRP5y3Gt5zAQ5CMAVqnolAIjIFwA8A32dq6r9BRKWEd2ii9bS98kOZoPEwcqUmESzQTglhoisKZspU9fPSEoZOwHNklVhSQuLWOJgYopeAeCkfGWYKwG8KJ+pAVU9XkTujWwp2y0AeiLyamTJDXsAOCXP6NgFWWLDGWNeZy8Aj1LVFQAQkbchWzL3cQAuQJYMMZTHIMh9AVzbd/k6AAcP3klEXg7gNQDmATyhmaZRMVZO8MrwVBvEeiDE6ufP4CJRZRhIolRY/UmjYDqYxwK6667n8rWUinwqymDdkOP7br8BWQBj0FYA+5V4qT2xcz7tNgD3UtW2iIyNInoMghSiqh8G8GEReR6ANwM4avA+ecXZvOrsHk02rwLeT9g8HjV4CoSQfx73EZpak3UuYti0WBekutF4S8VRQ2YZMMOBhihcqyISsWSgpKwHQSud85WTAJwrIqfml58G4HP5VJqxU3Dc1QQBcD2A+/Vd3iu/bpQvAPjDYTeo6gmqemBWJKgiUQAAIABJREFU4dbyyPko6XwpU1nWl8zlxHs/Zl3CfUahJjOuBHpdCo9fT34x696flfAVsLu98TVFLOvAb9srxQBmklT1XcgSGn6T/x2tqu9U1VVVPXLcYz0GQc4D8GAR2TufZ/QcAKf130FEHtx38Q8A/KzB9lFhHo80eYQVN2uBRY/7CFGOgSSi0e4I3QA/equeM5+JqGoisiX/9+7Iao58Nv+7Mr9uInfTYVT1ThE5BsDXkS2R+wlVvVRE3gngfFU9DcAxIvJEZEOYv8aQqTDx8D4thurD2iBUlcAFUlPBKTHleJsSQ2QZl8ktjTU+/NgC4MbQjaAqfQ7AU5EVP+3PGZb88j6TnsBdEAQAVPVrAL42cN1b+/7/qsYbRVPyeCTO2iBxY2DRHK4SQzFIoS4IEZXGFVSaw6+5OKjqUyVbQubxqnrNNM/hMghCg3jSRqMwG8Q/K33EbJBGMLvBBiu7nTfei6NOq6ntxcoyuUVxzIiocYo5dBM4kFBVFZHTATximsd7rAlCQ3lOx/NY94AR+7h53p8ixQKp1Wviq7fu/uMiBjRolp/n1cpaETf2kyuDK4V0EjhBpmRcKCKPnuaBDIKQER4DIV5wpRj/2EdERESjdNrjV0lprTBj2j3WrKH1DgbwPRH5uYhcLCKXiMjFRR7I6TBR4bSYZjHPM27cn9bjlJhGcEqMDXVMJWBdEOrHYqREI+kyIMw6ovF+f9oHMhOEDOFod32sZ4PQZNw/OCWmBjFMiSFbuPQrERE1492qenX/H4B3F3kgM0G2uyt0AyrC0etmMRukGlaHILk/rcdsEDKGmTPx8VgcNQahMlNWBNgUKspNFJce5tbVgYnYw/sviMgGAAcUeSAzQXYSy0ir56KOHj8DL0VSmQ1CEUjlOJkFP4mmF6I4alOHL4lOD+itckCiqHbJwZt2wRPm/hPrulYf6S4wok2TicixInI7gEeKyNb873YANwE4tchzMAhCREZ4DIA1jX0UDKd0zMZr/9Wxy1U9XSTRk2IqiD8bhXR7owurtqbICO1gfKHW2JUNxBCVoarvU9XNAN6vqlvyv82qeg9VPbbIczAIsk4svxbMBmkWs0Hi5Xlfqsu20A2gKnn8yh3EzJlqxLAtEBnG4ABRdYoGPIZhEISM4pFYmvi5T8Y+4pQYIuNYHDV+RTOQvIwRGdQZMuWEQRSiarAw6lBWizSWxaKOzfJSJHUrgC2hG+EM96X1EiyQugJgU+hGECUileKoXCaXDGtjCYteMmJ3BacHIiuMymDZZMwEGSmW0VYnX1xDxfIZUDn83CdjH1HFuFTuaKwL4hMzEKgBPNkkCktE9hORY/K//Yo+jkEQokp5OepibZDyPAcUIxRqSkzTJ/KcElMc+6oajLHaXyGGhuq00y5GGkpCy7GSMSLyKgAnAdgz/ztRRF5R5LEMgowVy6+Z55O3WD4DKoefuw8skEpE1Lg6M38irufSWrGbtcFAAtFU/gzAwar6VlV9K4DHAHhJkQcyCDIRT8aoLGaDxMtSQJHfTckUSG0Kp8RQlSI+mXbHw8/FioRugVtJLMebQn0gmoYAuKvv8l35dROxMGoyPBd2jKVQLZXDz90HFkitXQcYskgANamOr6OqC2LGWEg0xvdEU+utLmFu2dJgBJE9Chm6slCkPgngXBE5Jb/8hwA+UeSBzAQpxEMIvQj+cDSH2SDUhFi+m4gqwrog5BGzZoiISlPV4wC8CMCt+d+LVPUDRR7LIAg5wZO9NFn83BlMNIVTYqrFKTEE2PzqnYaX8QivitYm4edARDUQkc+q6oWq+qH87wci8tkij2UQpLBYjgg8n8B5+wy8/OozG4RmlWCBVK4SQxQ3rhBDiap7KgWLwFKFHt5/QUQ2ADigyAMZBCmFv2xEzbO431kKJlrsH6KA6goY1bGrxT4NIvb3R1Hp9kYXGG25ratHFB8ROVZEbgfwSBHZmv/dDuAmAKcWeQ4WRk0Si6Q2pw24iHhvBbAldCOIpqMoWAucCvH2NUs7xFhINMb3VIU6+6Xqor2J6mAeC+iGbkZ6FlDvMtLG9TAXfbaNqr4PwPtE5H2qeuw0z8FMkNI46kpEALNBBnFKTO1imhLDuiD2Wfhaoerw8yRjmF1Ds5o2AAIwCJIwSydwZXn7JWdtkNl5+8ypcSyQSk3gV5E/Xn6CqRKd9ugpLVa0A5z8W8gM6KazbCs5wCDIVGI5CvIcCCGywNI+ZOF7KcFsELLJU9ZM7HUzPL+/JlPqPfdTVVbqn9fYWmH2AVBf8dO6i6oSVYVBkKlZOOFImbf+9zIUxWwQolJinRLDpXL9SnguvBn8uUpKiMyOmHRhP3uH7BKRDSJyHxG5/9pfkcexMGryPBdJJSLqwwKpRETNarhwbW91CXPLlrIw69XBAhamiH63sYRFU9mq4WxcBnBb6FY0RyHJTD0SkVcAeBuAGwH08qsVwCMnPZZBkJmwhH5Y3vqfK8XMzuJnbimQaKF/tgHYGLgNRDWysJs1xcp75Qoxw3nqFy+HQA4wwEG03asA7Kuqt5R9IKfDzCyGnEfPX6Te+t/LtBgiKizWaR3evl4HsS4IEZFLrWWeolIh12LKPB9mghDREMwGKYfZIDsLmA2SwpSYDhBNpusKgE2hGxEhaxkCdwDYNeDrMwuhvNCfGRHRZFcC+LaInI6+oQ9VPW7SAxlmq4T34TKA2SBNYjYIERGRCzGtEOPtcCkxFpaxJXLmGgBnAphHNgK49jcRM0Goj6XRbKJxLGQ7DOL+k7RYMxos7mpl1JU1471fqH7cRlzq9uYxP9cN3YzGtbGIxZoG6VpYxBIHABvTw1wyATVVfQcAiMim/HLhCcrMBKkMw+theet/Dz8GlpfLpfEs7A/bwr20hnvpxniqdzFJrDVVyrJaF8TC1wnApX8puBYHOnyxNCWQaiEivyMiPwBwKYBLReQCEXl4kccyCFIpK0cKs/A8LYbSEsP+RkRERNutzF7UqdOer6AhROTACQBeo6oPUNUHAHgtgI8VeSCDIBQRbyfFzAaJj6Ugorf9IQLMaCBLrGVOhM508fCTOw0Ln7OFNiSug2YCP6lMsyA3llX1W2sXVPXbKJgDFDQIIiIPFpGTReTHInLl2l/INs0uhhMPSydyROQXp8TUqqkpMd5/1urqJ+/9QpSo1kpz01qaCk6E0I1mmTJy7EoReYuIPDD/ezOyFWMmCl0Y9ZMA3gbgAwAOA/AiMDuFZuKtEpmHdfu4XG45LJBKVFqshWXLsrosqcWv2iZZW3LYq4oOeXqrS5hb5oAd0TA9zKGdznHonwJ4B4Av55e/k183UeggyKKqflNERFWvBvB2EbkAwFsDt2tGMRwt8ESOyD8L30XbAGwM89IKYPbp5eXwZJ6oPt6CEdN8BdcdCCvTJqtBOWpUG0tYZJY4lSAiVyH7trkLwJ2qeuCQ+xwK4O+QHSTerKqPL/rYNar6awCvnKaNoYMgHRGZA/AzETkGwPWI5vDRwsnHrLwGQrz1PbNBZmPx8/a675A7dS0BO8jibkaTeQsaEDlVNlDAwEIJC4hrRbR0HKaqNw+7QUR2A/ARAEeo6jUismfRx+aP/ztVfbWIfBVDJkCr6tMnNS50EORVyM4UXgngXQCeAOCooC0iIooKz17JiTqzaOoKFnH3KoeZBUREBDwPwJdV9RoAUNWbSj7+s/m//2faBgStv6Gq56nqiqpep6ovUtVnqeo5IdtUrRiqpnmNUnvrew9l6y2vFOPt805NYgVSuUoMzSL0Kiox8/BTS0TknwL4hohcICIvHXL7QwDsLiLfzu/zghKPhapekP93f1U9q/8PwP5FGhg0E0REHgLgdQAe0N8WVX1CsEYREVWCU2KoIZwSQ03g528Xpz1RBFpYwpLbwVc7ephDp96Dgj1E5Py+yyeo6gkD9zlEVa/Pp7mcKSKXqerZfbfvAuAAAIcjqwnwPRE5R1V/WuCx/Y4C8MGB61445Lp1Qk+H+RKA4wF8DFnxkwjFcNTg9WTOW9+zNshsvH3eTWLfEDUWLKJ6hTrhZ6BhPPYPDWDdk2jdPK5YKQCo6vX5vzeJyCkADgLQH8i4DsAtqroKYFVEzgawH4CfFngsROS5yKbU7C0ip/XdtBnArUXeROggyJ2q+g+B29AAnoCEw76nkLwGEOvAVWKoAI/9Zv1nhienYVlcIca6FQE2hZjLmOn25jE/1w32+oM6WMBCw5VBQ7wmxUFElgHMqert+f+fDOCdA3c7FcDfi8guAOYBHAzgAwUfCwDfBfBLAHsA+Nu+628HcHGRdgYJgojI3fP/flVE/hzAKeir+6uqhSI41CSezDWD2SBUF+tnajQTZjmQF6mf4FuQwM9Bpz2PhcXqAxmep2y0sIilmgrj1Pnc5M69AJwiIkAWa/icqp4hIkcDgKoer6o/EZEzkAUsegA+rqo/EpF9hj128AVU9WoAV4vIkQB+oap3AICILALYC8BVkxoZKhPkAuw8Nve6vtsUwD6Nt6h2MfzieA2ExND3VAw/a9sCZoNQNbiLNYOBgvp4GGuwpOptkf1fCU41IatU9UpkU1sGrz9+4PL7Aby/yGPH+CcAv9d3+S5k5TYePemBQYIgqrp3iNcl8sHDEQKzQYrzGjyMDKfE+OFxqdxUMAhGRvRWlzC3HF8QoMqMCgZK0qQQtM2fR1RmF1XdnvKlql0RmS/ywKBL5IrIriLyGhH5soj8PxF5tYhEPPYRwzKeXr9MY+h7Koaf9WjsG6JaWN+1VkM3gMiW1goHJ2peQYSoCb8SkaevXRCRZwC4ucgDQxdG/QyyQ4f/m19+HoDPAvgfwVpEZIKHbBAqjtkgO3BKTG24VC6lgivEEBERcDSAk0Tk75Hl+14L4AVFHhg6CPI7qvqwvsvfEpEfB2tNI2I4evR6QhdD31tieUoMP+vREu4bTokhT2KuCxLzewuFARqzOpjHAuysNkMUC1X9OYDHiMim/PJK0ceGDoJcKCKPUdVzAEBEDgZwfuA2NSDhkxAqgdkgcfEaPCQKgHVBKCZcJpeIqDIi8ieqeqKIvGbgegCAqh436TlCB0EOAPBdEbkmv3x/AJeLyCUAVFUfGa5pNJ7XEzoGoKplORuE7OKUmNpwSkw4qfRJDO+TYwz1SDwbhYVIyYIe5lKo97L2TTP1r1HoIMgRgV8/oBiOIogs4z42WsJ9wykxlKrET1BpgPWfgRUBNmnoVriS1LSbZWRBf0qSqn40/+9HVPVX0zxHkNVhROTuInJ3ZF/B6/5U9WpVvTpE26gMr9Fu62X8+1WzTFq9toZugCNe95k6bAvdACL77gjdAMO44k1zuB3Wou0yo5rIlP8QkW+IyJ+JyO5lHhgqE+QC7Dwetxbqlfz/+4RoVPOsh+GJvOM+RgmKpeYF64KQRcyomR2nI1EVFpD9TlCyVPUhInIQgOcAeFO+wMoXVPXESY8NEgRR1b3X/p9nhDwYyZZ/8n6Sxtog9fNwtMDaIMVZ2Wc87QMV45SYaiS8CY3EPimOhT+pZp32PBYWp5se0u3NY34ukakluTYWsegiA7kEBrujp6rfB/B9EXkvgOMAfBqAzSDIGhF5MYBXAdgLwEUAHgPguwAOD9kuKsvKSR3RMDwrsYsFUokaVVUWA79Wy2uizxLLUumtLmFumdNMqRjrw4lV6WEOrUTerYhsAfBMZJkgDwJwCoCDijw2SE2QPq8C8GgAV6vqYQD+K4DbwjYpBE81KmLiqd89ROZZG8QfT/tAxWKvtxdLwTimOlNdPPysshaHSS0O/NWqu8D0DSrshwD2B/BOVX2Iqr5eVS8o8sDQq8Pcoap3iAhEZEFVLxORfQO3iabCbBCyzNqwJfeXJHFKjC1e6oJw2ghRLVorS1jaxEySqnWwgIVoIvFk3D6qOtWwVuggyHUishuArwA4U0R+DSDRVWE8H0l65qnfWRuEYsQpMRQZTz8r3iU2/YOIJlgGV45Ky4NF5C8APBB9cQ1VfcKkBwYNgqjqM/P/vl1EvgXgbgDOCNgkmglHt4mKs7K/JHzGFqJAKlEsqvjq8JrlEkvwpY6v/1j6xhhmVxAN9SUAxwP4OIC7yjwwdCbIdqp6Vug2hJfwyUhQnvrdQzaIVZ4+Z4pWk1NivEz3mCTGaUQh8SSVpuE1YEWUmB7m0DYxyNaIO1X1H6Z5YOjCqLSO90KFnFtJLJDqT+jvnW2BX59mEnrzmYWXgVUWyKQUraSZqhfzyh7dKCLzZMhXReTPReS3ROTua39FHsggCBEAX0fxHkraW2Xtc2bQMLjYV4khotGa/jlt4ifISz0EHsrMrMnR/v7XqiJIU/Q5dFLWGrMEU3cUgNcB+C6AC/K/84s80Mx0GOrnPW3fSq0DCocFUolG4pSY+Hn/Gfck9uk9nIYShQ7msYBu6GbEgcVPKaeqe0/7WGaCEG1nLUtgHA6hxMNKNkjo7Z9TYlyre/NZqfn5aTpVfO6c6kMRsV6LwdpUm5bx/iLbRGSjiLxSRE7O/44RkUJLDjITxCzvw0jMBiGr2SDe9y2qHFeJSVuK2TKxZ09QMnqrS5hbHj2Y0GnPY2Ex3QyMNpawaGawhZqgEHQwH7oZTfkHABsBfCS//Pz8uhdPeiCDIEQ78XSCzJViKDbbkP2WJYBTYqgsTouwhYEkInSxgHk3FaYpQo9W1f36Lv+biPywyAM5Hca00Onps2LkmayuFGNt37Kyr1jrFyLHuDuRB3Vsp5HUa+j2khlNJ/LqLhF50NoFEdkHwF1FHshMEKJ1mA1ClBxOiZld3V+dTWbPUDr4M0oBcbpKTZbBekNpeB2Ab4nIlciO4h4A4EVFHsggiHmeTsiHYW0QssravmVlXwndLwlNiSE7OGVoelV8Zcw61cfT1JTQX7GziHBKVmtlCUub0g1CdLCAhRHTWcbdVlYLi1hiUX+qmKp+U0QeDGDf/KrLVbXQRssgiAuefzEBOyd3ZXjqc+vDWFYLpBIFxrogVFaVJ6GeAgepK/u587OtXQtLWGIGBxnUw5z5VYqqIiIvB3CSql6cX95dRP5MVT8y4aGsCUJERAQgmxJDs+FSuTtjXRCi0YokBqxwnmIZCa0KsgMDfil7iar+Zu2Cqv4awEuKPJBBEDe8H0l5jJZ76nPrKYYskFqMlf0kdL9sC/z6REQFRFIAlIjIqQ0isj1SKiIbgGKRQAZBiIiIQmkys4GrGI7H/iEiIvLkDABfFJHDReRwAJ/Pr5uIQRBXQo/OzsrKKHcZ3vvcEmaDFONxP4kIp8RQSqrKZLDwNTrLe7GeTElERMO8HsC/Afhf+d83AfxlkQeyMCpRNKwXSCVfQhcH5ioxbnGp3J1V3R8RrtABIN73NUzor9dB1tpDLs2yAkwX85hHd/IddwWXvp1AIegkUgldVXsAjs//SmEmiDsWhltm4XGU23ufW8JsEKJ1OCWGiGLTYL2U3ur4lTA67QSLhRLRWAyCEEWFOb1xsBIsTDQ4xCkx6WKQiKwqO/pdVxCCo/DBeBzdT2WpVvKHQRCXvJ+YWDnBK8N7nxN5xFViiMg4rhBDA0ad+JdZvrbF6c1EI4nIZ/N/XzXtczAI4hZPymkU69kgnBJDtE6TU2KaUPfuFFt/lVXlaDxP4oko12bwhXw4QETuA+BPRWR3Ebl7/1+RJ2BhVAqkBbhLkWPlMGqSlX0k0e1eAcjEe/nUARxmVfuWwm5UxXuctTjqKoDlKR/L2uI0RLc3j/m5AgU7iYzoYS6FTKLjka0Esw+AC7DzEZvm14/FTBDXOHJNozAbZDrcp+zhlBhqGOuCEDWnyOHKSr0R6daKhQGH6bDmRo6B/aSo6odU9aEAPqGq+6jq3n1/EwMgADNBKCgrI91lpDCcR3Z43Edoat6Wfp2EX5dEo3H/ICKaiar+LxHZD8Bj86vOVtWLizyWmSDuceSaRmE2CFUl0e+ZmFeJiSHbIfW6IERVSvRrfhYtDlK4schh/yiJyCsBnAT8f/buPE6Wsrz7//fLcuacOUcERYyKETFoXEjQ4JIfUVGj4gYmGsUlijExj8aYxF80+mhMNCaPhiSaqM/L8MQ1aiQxkvAghqiAO8giIOAGuLCoyKIwZ4Y5cOZ6/qgaaPr09HRP13LfVZ/369Wvme6u7rpr7aqrrvsq7Vc+Pmz79yf5LKsEWpbjlW4u33Qbyzc9N0vas+1GALOpetcya/2MQbPU0gAwkyXNa0uWd07MT25nHFjXb0t6eERslyTbb5X0ZUnvWO+DZIJ0AuF7rCX1bBCsjwMjoHFdyJRpQ18PR5q6w860dwXizj8Aus2Sdg4836kJy9qTCYIEkA3SXzdI2qvtRozA8t1V2/OkJ9kg1AVB33GHmPRNuozIMAIat6Ld+lQw932SzrR9Qvn86ZLeM8kHyQTpjL5efgH6gGyQ1lAXJG3UBQEgaWV7b076pjZ8QtyD26eiZba/a/trts+zffaI93/e9pdtL9v+42k+Oygi/k7SiyRdVz5eFBFvn6SNZIIgEWSD1Cf1S1upZoNgV7ms80CiUq4LAnTY8tImzW3Z0XYzMIutootXXh4TEdes8d51kl6hInNj2s/eTkScK+ncaRtHJkinkA0CVIftKT03t92AZpDdkIYuZMpMg5OL5vEzA6xpcSunqV0VEVdHxFlq8cAuy7XL9hG2v2n7EtuvGfH+K21fbPsC25+xfa822tmOnH9Rc0z5z2V+p14gldvlri/H7aMj6BIzm1x2k6gGyxsAumxf22cPPF4yYpiQ9N+2z1nj/XFm+ezEsusOY3t3Se+S9HhJV0g6y/aJEXHxwGBflXRoRCzafqmkv5b07PHfvHP82wB6iO4fu2KeIDFdKyaLPLv5dKEIaFu799R77UISt/LNxYqsZW2qcxTXRMSh6wzzKxFxpe39JH3K9jci4nMTfv/En7V9V0n3KJ9eGRE/mnAcWWaCPEzSJRFxWUTskPRRSUcNDhARp0XE6lZ6hqT9J/vqrlyNzvkyTI4711zmd+rZIMAk6BIDYB2zdO1J/ady2tvkdsXCRHe9hFT3CbCk+oqrLmZXHxCjRMSV5d+rJZ2g4vy9ss/aPsT2GZJOV5Hs8NeSPmv7DNsPmWQ8OQZB7iHp8oHnV+i2CNAoL5b0yVpbBKACXQlC1inHIGFHdLlLTBNyiRUPq6O7UNXzoq8nxZgMtV4msriw9sn3jpXpgwo53aJ0WXNtNwEdYnur7Tus/i/pCZIurPiz75f0BxFx/4j41fLx85L+UMVtc9eVXXeYadh+vqRDJT16jfdfIqnsa7RP+WpX7lSRc8p6jneKyQU5p9PLeVuqC/OkU5YljoEhqRtdOoCELWuT5tT9u9Qsa05zvasujdJdJZ1gWypiDR+JiP+y/T8kKSLebftnJJ2t4qR7xfYfSnqApH1HfXbEOLZGxJnDL0bEGWXwZF05BkGulHTPgef7l6/dju1flfQ6SY+OiJFbYUQcJ+m4Yvh7cp0PM+CksBpdCULWiSBh0SVmz7YbgZRQFyQt/CR236R1Wwisbdiitmh+qH8WwQWkLiIuk/SLI15/98D/P9TochU3jPrsCJ+0/QlJH9RtPUTuKekFkkYFTXaRYxDkLEkH2b63iuDH0ZKeOziA7QdL+kdJR5T9iabUlROxnI9CONFDSnLellCZkNRkt3RO7IHu4+cFQIVCu2XVHWsjIuIVtp+koi7orYVRJb0rIk6e5DuyC4JExC22Xy7pFEm7S3pvRFxk+02Szo6IEyUdq+LQ8d/KdJrvR8SRrTUaPZHLkUzqXWK6EoTsulzWd0ykiS4xua4ydcybXOdFk3K8Qwx6Z1Hzmu9wva6sMk+2ihpJPRIRn9QMdT+zC4JIUhnhOXnotTcM/P+rs4+lKydiOR9pkQ0CjMa2QZcYYAABg1210Q2Drh+tWtk+r922djcgAWB9to+LiJesN1yWQRAgXbkEnVLPBklRLssWtaJLTLqYV9XgRD79n0iCXhuyvLRJc1u6X5S0aTs0p025ZIugE2zfaa23JD15ku8gCDIW2SDt44p3P3Vl2+u6nPctAIBdsFtvxZLmtaXD3WqAiv1Y0vd0+8tSq5ep9pvkCwiCrIuTMUwrlyOI1C91pSilZUuAkC4xFaMuCKrEsk5HDtk9HJJsWC8CKHMSySaTWdFuWuz+8eFlkh4XEd8ffsP25SOG38VulTcJibqx7QbMoOM7dqzhhrYbAIzW9A3VFxoeH3ZVx8F3zj/LTaHIIQYtNNkXEUDC3i5pnzXe++tJvoAgyEQ4GcO0cjm6XVp/ECQshQBhLus6eqHPASMCBvliNwoAE4uId0XE+Wu8945JvoPuML2Sc24qqf9IRc7bURfRJaZSTXSJQfpy6D4xia5MR6omLdDKcgBQA9u/PuLln0r6WkRcPe6zBEEmRm0QTIuT5dmx3eWBdR1TYHVBDjZao4ITfmRuSVu0hUxh5OHFkn5Z0mnl88MlnSPp3rbfFBH/vNYHCYL0Ts5Hn2SD1INqZNNLaTtiu2gFt8rtnzqyZFLaldSh69OHTllcmNf8ttHdTHesbNKm3bi9bhW4pW69VrSbdqxsarsZTdlD0v0j4keSZPuukj4o6eGSPidpzSAINUGm0pXaIHQ+bQ7zenZd2e5Qn5vbbgBSQl0Q9AHLGgDuuRoAKV1dvnad1jk4JAiCzKRQCLKLSHvErAj4dQYX6JASTvabx+68EktkaY61WFcWMt3R+uR02yfZfqHtF0o6sXxtq6SfjPsgQZCpdeWqNL9wzWFezy7F7S6l5UpwsBXcKnfjUtp8MNr2thuASrE8AXTP70l6n6RDyscHJP1eRGyPiMeM+yBBkA1J8YSsTzjhqwfZIMgZXWLQALJk8pPLyT+BwUqsbE8/+2JZzddrSCErpbbMD/RWRISkL0g6VdJnJH2ufG1dFEbtNSqWAbNJaRtKoUBqSvMDvZZTIdmubzY5Tx91w5vF/G7MorbOiqCyAAAgAElEQVRovoaLX3V9Lya3snM3LS60fTzYDNvPknSspNNVlKt/h+1XRcTH1vssQZAN49ad7UrhhG8auRwFpnwEwjaHBDV9l5im1HEnlGG57BZzc5OkzW03oue4TW6ylpc2aW5LtXd5WdS85slS3jDmH2bwOkkPjYirJcn2XSR9WtK6QRC6w/Qe+ZcAuqIHXWK6VBcEQP6aLly70MWoc/Xa6HIDtGC31QBI6VpNGN8gCDITaoO0K7eoMQGn2aW4zaW0XFPYJlKaHwBmkko9De4Qk79U1qXMUEejAmTGddl/2T7F9jG2j5H0CUknT/JBusNA5CTj9lLuEgMkiC4xaaqrLkgd84WfYWwEXZ96aVlzmqNKM6CIeJXtZ0g6rHzpuIg4YZLPEgSZGXUK2kVtEAA9k1PRz/WwS0QTqNEBZGXH3Jw2LRPo2YhYsZaX+tMdKiL+XdK/T/s5usOgRAo7BqVc2ZsuMeP1vUtMD+qCAOtJrftISrvIPpumSwrLDECibN9o+4YRjxttT3SiQCZIJcgGaRfZIAAAoAZN9hDl8KDXljSvLS1dyKCLDXISETPvKckEwQDC/hhENsh02H56LdpuQE1yPyau6246uc8X1I9CoFlaXMjpoloelrK6UIm+IAhSmRRPyvokhS4A0+CEGXVKYXugS0ytunSrXHaHhVTnQyon86l18UHv7FjpT52FTqBoMMagO0ylutAthlxMAAAAtKCC7kcr2+e129YULgYALVjZTSvbyb5ZD5kg6BB+8KpHl5jppHQpl+2hcV3tEoM8pZY50fbuMZWMli5KbV3rIbqcANMhCFK5FE/MptX2kUpfMJ/RdXSJqVVTXWJyr39BXRB0GQEINIhgC7qCIAg6hqvf1SMbBEDNiAkjZSn/DOakqmycBc/08eWl5mp7dDlosNjYbZOA6hEEqUUXTsw4Im0G87l7UlqmBAUbR5cYzCKl3ccgupI0J9V1AL21rLm2mwBUjsKo6KBFqcORdyAvbRZbvlnSni2NG0DlblJed3zYLmlr240YMk2bqJU/sUXNa36KCw/L2qQ57aixRd0RWyUTiJ3cimbOluoDMkFqQzYIJpXDfE45FzjFbS2HZYpOoC7IZLp0S+FpUC8CAIBdEAQBgE6jSwwykWPsMPfgUNNyXMYAgM4hCFKrFK9QTyvXI5bcTvxymM9kg2CjenaXGOqCYBY5/BzkipR6AIAIggBATTiTQUPoEoMmEEBIF92e0AE71NxdewAKo9buBkl7td2IGeVaGYsCqdVbkrglWobYFgBgJvz8AVNZ1pzmiJ43b0VpJ28ngkwQIBlkDsyGLjFpo0sMJlDnalJXxkzqx/hdyxLo2vR0RZXLhRO421lsIfq2RMQPHUcQpBFdODnL9QQ9t9og6JZctxsAQCU20o2In46ZrWzfePbj4kI3MyeXaswI3aG52r4bqANBECApORz5pHyJpgsBx7oQEOw06oJ0Sw4/BRvV5WnLRZv1XTKvLbNjJY26FcsEHYCZEARpTBdOznI9cuHkD23KdbupQ8/mBV1i0DWZn8BK6sY0NKlnu+22VZmtsUyhUWBNFEYFkpNDIVoqxCE3N0vas+1GYBJ17gIXJG2r6bsBNGfB0raNR5qXlzZpbsuOChuUn0Vt0XzS2b3YkBUR7J0AmSCNIhukPWSD9EcXtrO6sB10WlNdYrCr1LsJUUwUANAg27vb/qrtk9Z4/1m2L7Z9ke2PDLy+0/Z55ePEutpHJgiQJLJBuiWH5dkU5kX2liW6o6NVN0na3MJ4+dkDgEn9gaSvS9pr+A3bB0l6raTDIuJ62/sNvL0UEYfU3TgyQRrXhavUZIMgdV3YzurS5+2AW+UiI7n+1E6iy9PWFrJ9klXnXVmAFNneX9JTJP3TGoP8jqR3RcT1khQRVzfVtlUEQVrBCRoAAGuq8ySZbkNoGrfJBdAvb5f0ahUVSka5r6T72v6i7TNsHzHw3mbbZ5evP72uBtIdBhuUa0r7opRNRD6HeUxu8ORyWJ5NYV7UhsKf7elLN6Htkra23YgZdWEaUtRWNyUAt1lR3Zlh+9o+e+D5cRFx3OoT20+VdHVEnGP78DW+Yw9JB0k6XNL+kj5n++CI+Imke0XElbYPlHSq7a9FxKVVTwRBkNbcoBFdpABUhm1sbTkFA6vWwl1iQpKbHWXt+nLC3yWcoGIQgaDKLWpe873uctqgreIOKO25JiIOHfP+YZKOtP1kFb86e9n+UEQ8f2CYKySdGRE3S/qO7W+pCIqcFRFXSlJEXGb7dEkPllR5EITuMJgBuZr1y2Eec3u1yeWwPAEAaFkPDi2WtanS76P2CFIQEa+NiP0j4gBJR0s6dSgAIkn/oSILRLb3VdE95jLb+9ieG3j9MEkX19FOgiCtojZIO4jS9wfbWLoICGEdrCLMg3EoBNqcqtdDruCjCmQyZcX2m2wfWT49RdK1ti+WdJqkV0XEtZLuL+ls2+eXr78lImoJgtAdBjOib3/9mMeoA11iOou6IOtjHrUv1582SmFlY2X7vHbbyoWvXtsq6bq2G9FfEXG6pNPL/98w8HpIemX5GBz+S5IObqJtBEFaR92CdvT5BLAOHBVOLtcjf8yEuiD90Jd5Qj0JdNziwrzmt/UrgLKsOc1pue1m1GYvSY3fh7UNKyKLcAJ0h0EF2NKQMrrEpIt9B9AoupC0p4kuIH1bvgtdiywDaApBkCRwktaOnCL8OZws9qCKWefktA1gKgttNwBIXA51KXL46QcqtkimNhpAEAQV4ZcamBzbS/tubn6U0fwos1fnppJLoIjdBZCUHSvV3tUFQPMIgiSDbJB25HQlnCPhjWP7Shfrdda6230cOehb9w9UanmJYEYdFtusEbe5vVEjLxRGBVAhCqTmhyLBQKX6Uhy1CtSJblcdBW5vEieiNVjUFs3T7RiT2Kk8uvu1jEyQpOR+tTrXK7pkg/RDatsXy7J9LXSJaVIu3T2Qpz4fZHMuCgBZIwgCoGIcHWJaPQoIdbEuSN1dYqgLUi26kGAjerSbBtB9BEGSk9rV6mnxKwnkJ6dsKKCH+GlFH/X0mspSh7uotlovBBhAEASQlNdJIEfDG5dakJFl2b6Od4lBOygYm4emu/Q0Mb5cMn363J2qIssNFh8aHFcVQZodE7Z9ces6p6rUX8IGURg1STdI2qvtRsyASmegQCqm1aP9RkhyQ+NakLStoXEBbeh6Ic4e7Rq7bEnz2pLVBbeEbVY+wb42hJg/EyATBLhVTj9OZBB0RyrLMqf1H8nJuS4INq6Kq/ksW3TIYuJdWVLrakP3GLSFIEiyUkvbnxZHNUi1M2/u2xaqR5eYXqM4KtBZK9vTOulv2rI2td0EIEkEQYDbyelqOIEmABPo40l+F7HLT0uqcf6+WWiqbyFGIZMDuSIIkrTcr1hzxIZUpbZtpbKttB0ETGU+NKCLt8rF7VEcFTmgQOmaFhf6nUUCdBmFUYFdLEqJ9ZnMFwVSgd5YVr2V+ikQiTpsl7S17UZ0TNeL1VZoWZs0px1tNwNdslO9uqa0UWSCJC+1K9bTYiusF/MXqAZ1QXqNLkN5y6nGSc6ZFxxydM647ixLOV/E4ta5WAdBEAA1S7XjdGoBxlSOLukS05gmu8Rwko9hVQUOuENMenIKCrVseWljhUN3rFBwdBqp3ZUGIAiShdRO1qaV49FN2yeC08hx/gIApsbuvp9Y7gBQKYIgAABIoktMBeouBprbySDFUYG1TZJFlGoyaaLIuAAmQ2HUbNwgaa+2GzGDHCvaUSC1OqkWSE1tu0plO2l73U9lPgDAGKn+tAF9sk1519qp2oqYHxMgEwTohNwujwKQRF2QlDB/AADoBYIgWaE2SPNyqg2SulRzWnPfrgAAM+GqKQD0CkEQoDNyDDJhV6ksx7YDgG3NB+qCzIw6GPWqctPo0h1iuCPKxhEEQgV2cF9aZIQgSHa4at28tk8GAXRak11iuiCVOOGkCAphGEGHRq1sp75b6hYnrUO2td52oD8ojIqGUfCwXqnP31SryKVWIBWoyYKKInIYjfkDVOMmSZsbGteCpW3djyYvaovmk+1ajGSsKN0e6AkhEyRLZIMA3ZbKpe62s6DoEgMAkqbfHdbVPSiVn6eO68qtbpfpIoNEEQRBC3L8BW37ZLBLCE8DnUcXEPQFP2kYslbXjq4ENoAuIAiSLbJBsJYcg0wpSG2bYjn2SvczuavV982jq8VRAbSKzA30BUEQtCTHI1iyQdBHfV3vO9wlZqHtBvQQmTGTafMOMQRxMMLiAtkbQBdRGDVrFHPEWiiQujFsU+lJfV1G51AcFWjOdrV+x4/lpU2a27Kj3UZs0LLmNEeUtViHmA2FFRHUnQCZIGgR2SDAeDluIwCAdXGSMjnqrgCoGEGQ7KVWxwBA9xD8a0TX6oLUfVWOGCFQHYIy6LA7tJxthPQQBEHLOIqtT+rzNtVLOwQW08OtcitHXZDmVR0USn0XD3TcjpVNlXzPsqr5HqyPzrVYRRCkEzhpaxZXxdEkznSAxvUtSMQdYmbTVEyfnwMAqASFUZEACh/WJ/V5m2qBVOxqURJV8msXktx2I4AWpf6zlZObJG3u8fiBPlpRdYHtDiMTBNgQskG6jeyq9NAlpnJNZDtQrR9N4za59SMjBUDmCIJ0BidtQHdxxAmMxKYBQJIWxqfQrWzvbybjcM2RJbI6AYIgSEWOR7K5ZIOkPm9TLZCKXeWyzgOJojgqAGzMXNsNQJcQBOkUskGA6rA9pacnZ3xdu1VuriiOirrR/QZY0445oh6oD4VRkRCqodUn9XlLgdT1pb4Mu+xmSXu23Yh6LEjaVvM4lsUVvD7ZLmlr240AgJ5aUW+uGc2CTJBbrbTdgIpw9bpZdA8AgFZxsNc9LNN2tJWZQkYMgIYRBEFiOPJBSggq7orAH4DEtdG1p6nyVn09TKJ82MTqKny6PJDSR3FVrMf27ra/avukEe89yva5tm+x/cyh93baPq98nFhX+7IMgtg+wvY3bV9i+zUj3l9zxo7XlT0sJ27NyuWkMPUjp65sf3VKfRk2oSe3yqUuSHdx2+C0kZWAIYsL3T7hX0yoO/KOoTvZIGt/IOnra7z3fUnHSPrIiPeWIuKQ8nFkXY3LLghie3dJ75L0JEkPkPQc2w8YGmzcjEXyONFDSggqouOaKACa64l/DsVR+cnEOBS8ncjyUrUn34trZEr0JYMipcAKmmd7f0lPkfRPo96PiO9GxAVqsR5FjoVRHybpkoi4TJJsf1TSUZIuXh0gIr5bvreBGduVAo03SNqr7Ub0yKKUxQ8bxTVRhVzWd/QGu7Zq3CRpc9uNAABs2E7VndG2r+2zB54fFxHHDQ3zdkmv1sZ+mTeX33+LpLdExH9ssJ1j5RgEuYekyweeXyHp4S21BUCluhKErBNne8wDIHHcIab7Jt0NE1jbsCXNa8tQl+tFbdE83YfRrmsi4tC13rT9VElXR8Q5tg/fwPffKyKutH2gpFNtfy0iLt1oY9eSXXeYKtl+ie2zi2jTYMisKzuXnNP4ye9FSnLellAd6oIAqBg1SJCwJS5MYXqHSTrS9nclfVTSY21/aNIPR8SV5d/LJJ0u6cE1tDHLIMiVku458Hz/8rWpRcRxEXFoEc3ikgVmRYHUanQlCNl1uazvmAh1QZrFvFhf6j9VgKQdKxTyTMbc+oOgfhHx2ojYPyIOkHS0pFMj4vmTfNb2Prbnyv/3VRFQuXj8pzYmxyDIWZIOsn1v25tUzNwabp/TlROxnK9gcwQEjMa2wTxAYyiOmqcu3yYXADJj+022jyz/f6jtKyT9hqR/tH1ROdj9JZ1t+3xJp6moCVJLECS7miARcYvtl0s6RdLukt4bERfZfpOksyPiRNsPlXSCpH0kPc32GyPigS02G72RS8FIaipMj2LDkIouMXs2N7qQ5OZGlzV2a9WghgM1TXK1YGkb/QibRp2SxISSuStURJyuokuLIuINA6+fpaI3x/DwX5J0cBNtyy4IIkkRcbKkk4deW3fGTq8rRRpzPnnjqLafurLtdV0uQT8A6JA6D406HABa2T6v3bam2ZVzWZs0px1tNwPojRy7wwCJS/MHFl1D/jsqRl0QVImCn+lI5KrwWKwvGCM6GphDewiCrKsr6V3UBsEw5uv0ct6Ouoh1GA2pI0BEQAhABZapCApMjSAIgER1JQDZdX3MfOJWucnqc1ysi9PexWnCxnFYAKAiBEEm0pW9Llexm5PLiSFHmHlj+QFA9ugKAgCNyrIwKvqIAqn9lGKB1JwLDXcR+4ZKLUja1nYj0Lqu3CGmK9ORqkl3vywHoDk7xTWyCZAJMrGuZIOgOblkgwCzYl3HFKiFgRxsNDuDw0Vkjhoj6AOCIL2Tc5cYwpr1YL7mjeXXDuqC9A7FUadHNw9kZHlp05rvLS5wO/iqLCaX4Ys+IggyFcL7QPNS3O5yDiYCHUdcEH3Aeg4AG0YQpJdyPoHL7Vc/l24Cuc1XYBDrb6XqyHhAM7q4KXRxmgAAraIw6tRSLNQIoHkpFUhNoTjooqS+pQvfLGnPthuRp2WJbudAg6YpTrpd0tYa29ITi5rXfDYXw5q3Q3PaVEefwK3qd1e8UPe7WlaATJDeIhukOfwAzi7FLjFAw6gLgibd1HYDgA1YcNstWNdSCxcMlrV2vROgjwiCbAgnZOii3IJLwCDWXzSArkL5ySWY0+cr1+iFNoI/wFoIgvRaztkguSEbpJtS2oZSCAKwniMRKWwOk+p62nLOJ/c5tz1HDczvle3Vn4jvWMkvy6KugMQO+jkiEwRBNoxskHbldISbk5TnK9scUtTwrXKb0kTGQ9dP/tuS8m68L/i5AibGLXPRBgqj9l5KxR0BAGOFpPS7vAPoi6brcnN/goksaV5byM7sp52i6+YEyASZCaH+duV2uYsfo9mluM3RJeb22lzPU5h+oENSqafBpp2/VNalzFBHowLc6QgjEASB0jqJQ/s42gTQAXXtyrjChlTwc91LdB8BZkcQZGYpXpnuk9yOAMgGAbqn4bogTd0ql5P95lAfBQCAxhAEAZCZFAOPKWVTpRAYpEsMJsTJfz+0fZcVumJMr+1lhl5bpBsQakZh1Ep0oUoTBVIxqOlKZwCAyrALr852NVdToO5x3SRpc43fj5ksa5PmtKPtZiB3K+J60ATIBEEH5Lal0yUG6J6O3ioXwMakmLQIrIE6I+gbgiCV6cKvXUop/WhfysGlFLe3lLaflJddE3ow/dQFmQzFUWeXSleSHmzWaN/y0qa2m9A5y5pruwnALgiCoCNyOzoiGwRdxzqOCVEXpMB8AJK2uECdiqxwa1yMQRAEQ1K6mg0AAIDeqKIg64Ir+BIAXUZh1Ep1oUBqzqgEV72U52mK2xsFhvvtZkl7tt0IoJDy7rsNFAWtD+ta65Y1pznSySAVhVFZFdZFJghGIBukGXQXQJ1S6CLGrXJrRV2QyfRgVcgCt1ytB+s3GkR9D3QFQZDKpViwEZhFykdYbG8AWpJ7cAhoWiJFdle2N1fbY1HdrSOy1OFpQ/cRBEHHpHzCPgrZIN1DJhUwNVJ3C6nOh0ROXltDFktauP4BYEYEQWrRhb0zJ3JA/lIICvYt0Hdz2w0AuiuFXdo0NnI4WHfAZZqAFsEfSFpKrv4aMDsKo6KDqNBVvZTnaYoFUpGGlNfbioSkJm6EsCBpWwPjAYAM7VjZpE277Zh4+CXNa0vvLhJszOLW3TS/faXtZuRjRXTXnACZILUhGwST4kewe9h2gKTklkFQlb5ONwAAYxAEQUdx5AcU2BaaR5eYDUm1HsY4XG2bTtvdK/pe2wQAIIkgSM3IBsGkcsgGSflkugvbWpdxq1xgYjkGgwAAyAhBEACoBQFENCQaGg9ZD/1GFgWAGnX5dsJID0GQ2nXhCnWuJ3NcAa4e8zRPLDcAmEnbXXnGYRcPYFDU+OgIgiBAMnLoEpOyLgQcu6xv6zd1QZLT1xPFrk1316anK6pcLikHnDCxRe7ch4QRBGkEJ2ft4WgJbco1i6pr2A9kI8d6GHQTwjgbOQQkCNCq5aVNbTfhdpZa6CayrLnGxwk0iSAIJsTJXDNyuFrOCWWeWG6d1qEUVXQcJ/howoLbbkFyllVfcIesD+SGIEhjyAYB6sd2lrYcgnwYi6yHZuSYEYN8TFPktuqgVeYFdhcX0ijeSdABmA1BEEwh12wQroCjTbluN13Txn6AuiDomMxPYCV1YxrQ2WseVWZrtNGNBikIFccfdT26gSBIozq6x0bFcrhaTmApTyw3ZKDOLAg2AQCSVrYTICBIgjrY3mz7K7bPt32R7TeuMdyzbF9cDvORgdd32j6vfJxYVzv3qOuL0VU3SNqr7UZswI2S7tB2I9CIJYk0UfRRSKIbfDsWJG1ruxFj8BMIAGjGsqTHRsSC7T0lfcH2JyPijNUBbB8k6bWSDouI623vN/D5pYg4pO5GkgkCALWjS8xtcsh0wljUBUHb2srooagrAIwVhdUjhT3Lx3D59t+R9K6IuL78zNUNNlESQZAWdKFLTK4ndDnlQedwopjT/AQk6oIgKxRHxTT4SQbQjH1tnz3weMnwALZ3t32epKslfSoizhwa5L6S7mv7i7bPsH3EwHuby+89w/bT65oIusMA6CC6xKyNvHgALdsuaWvbjWgQP0m9tqh5zWdxcQvdsFM1R0WviYhDxw0QETslHWJ7b0kn2H5QRFw4MMgekg6SdLik/SV9zvbBEfETSfeKiCttHyjpVNtfi4hLq54IMkFa0YVsENQvhx9MLj1NLtcMqjrksG5najjhNFcUR00Xd1dpBl1vAGSuDGqcJumIobeukHRiRNwcEd+R9C0VQRFFxJXl38sknS7pwXW0jSAINijXEzqOfvuDYCNGYR9QCeqC7Ip5kg8COfXo+e51x0p1t7cFcmX7LmUGiGxvkfR4Sd8YGuw/VGSByPa+KrrHXGZ7H9tzA68fJuniOtpJEKQ1nKABaEvPj1QbR10QJIDNHoNSDwSRCTO1Zc213YTmbG67ARjjbpJOs32BpLNU1AQ5yfabbB9ZDnOKpGttX6wiU+RVEXGtpPtLOtv2+eXrb4mIWoIg1ATBDLhdbv0WpeTv457T/GxbrtsMACSGn57m9K2GS0OWNK8tdA9Fx0TEBRrRhSUi3jDwf0h6ZfkYHOZLkg6uu40SQZCWUSkLqBfbWLpyCPBlKiS57UZUYFmq7cJmLifQdc4DoC03iSv5mN1WkTE00oqovbY+usNgRrnWBskJOzLUoc+58X2ediARuZ685NruPlroQjQYMyGDCWsgCNI6aoO0g5OgajE/J0fgsJ86WBeEQqC76ss8Sb2eBDCj5aX+FTldJHMWPUIQBEDHEWhMF1lOAHqiiZ+ivl2P4OcdU6AiGwYRBEEFcr2yndPRAieLqENO2wCAmbHJ3yaHbBa63qCHdqh/WThoHoVRk0DxRnRBLpUGU8BdYtrXxvp6s6Q9mxkVxVHXl8sui+KoQFIWF+Y1v42LU0jVioh4r49MEFQk12yQnPCDu3HkzAK16EsNDKSJ43zMYGU7dyirww6itsgAQZBkcJLWDo6gqsX8xLQI7qFjCAwBQDu4GwwmRBAEFSIbBJhcKtsLgSsALcm15kWu7R5WR10UflJqsSSyVoAqEQRJCtkg7cjpF5ur5hvH9oVhbWz7Dd4qN5obVa2W225Ax1S12udQWBQAgBEojAqgYrlUG0Q6FiWucuVrQdK2thuxQeyugMlsF10NgCzsVDrZxukiEyQ5uV+tZqMD8pNTNhTQQ2TDoI+60u1oSssdvkUs3XqQCoIggKS8TgLpErNxqQUZCRq2L6dtH0Clmu7S08RPUC67NLpTzWxRWxob19LAuJYruPvLpG3fMbfOuMhOwgYRBElSaidq0+LEDrkchQFtoC5I53GHmOZ0/eemp9kQXbNIBkR1CHygAgRBgFvldCRFNgiq1vb6zzqNMegO0l2c5KNDdqx0tysL0CUURkVNbpC0V9uNAEZYkhpMIV0f2wo6gOKoealqmm+StLmC7wHqsmBpGylxq5a1SXPa0XYzbrVDc9pElLtiK8q/V0H9yARJFisvctd2ZgEwKdZVZIDzhLSQwZIGDpfHohApMBpBEOB2cjoZovsAuqZP6zR1QQAAeSPIglwRBEla7uFtCqQiValtW6lsKzkFAYHEURwVOeAuLWtaXqK+B9BVBEGAXXAiWB3mJdAbdZ/00x0EdSAIUD1++idGJgXQDgqjJi+1Io7TouhjvRYlfkCBCvSxOiZuxeLPW07LL+fDuu3i9qQds6R5bVmjK+qy5jSXa/R5q3ocOF8Rkcj1kQkCoGap7ojpEjNa28uLuiC1oC4IhlW1qVeRSUGRUbRkZTsXkpqwrLm2mwDcDkGQLKR2sjatVE7uptH2ieA0+nTSCAA91tsrmz03bZAop0OYTC0uEDwBckYQBAAAoA4URwVmQ5bQVMi4ACZDEARYE5dSqpPqvEwtyyqVrKm2l1db2U1tT3cHUBwVfcIJ+mwoSosqEPfBBlAYNRs5V9KSKJBaNwqkAnm6WdKebTcCUl7FNQEAGGlFdJVfH5kgAAD0AcVRAQAACILkJbXU/Wmlkuo/DdLjq5PqvExtu8pxO+mSVNdToAas7gW6ZQBArxAEATqD1DdUqe2zI9bnbFEXpF4pTn8Kt8lte5eVM4JAqMBi1t320TcEQbKT2lXrPuDICkCdbm67AagTd4jBMA7lmrXgtluAdUwcQKEIKipCYVQ0jAKp9Uq9QGqqlQdzLzwMTCgkcT6wtlR3UUBumtyWevITvqR5bSFLEuvaKS7gro9MkCxxCQHotlTqgvT1R7Sv0w0gWdN2F6prN8ZtgRuxrE1tN6ESdJFBqgiCoAWpnOBNg5MioHlc8QKQOIICGLJjZXQAYzHpTF2gXwiCAJ2T+oljqgElMqzQpo7VBaE4appLjOsAACAASURBVL2qnP5Ud8kAGkfmBvqCIEi2cj9hIxsEGC/HbQRZiLYb0EN9KI6a+x1Gcm8/arG81I1uKQBuj8KoAIAx2q4U2Vax37anG+ih7ZK2zvB5NlsAvbdTXEhbH5kgWcs9GwT1oUvMxrBNAb2X6u4J6KJJMnBqrruysj3fWh10Xylta7sByA1BELQoxyglR8doUo7bCFDqQxcQYKOIuQNAawiCZI9fUQB1I/jXjI4VR61b34ujAlWiJgqAHiEIgpZxpbs+dInZGAKL6WlrXU51Ha0AxVGbV3VmDEEgoFWLC9V0o1ni1rm127OsNUTnIayiMCowNSqvoUk3SNqr7UYA6DJ+1vIwa+FYAD2wIi7orS/LTBDbR9j+pu1LbL9mxPtzto8v3z/T9gHNt7JJrOhYS+rZIACQoA4nAdWqii4VNRfBrEWqbWY9BtAw25ttf8X2+bYvsv3GEcM8yva5tm+x/cyh93baPq98nFhXO7MLgtjeXdK7JD1J0gMkPcf2A4YGe7Gk6yPi5yS9TdJbm20lppNjlxiOLKqR6nwksLirVJdV13SsLgjFUdG0WXZV1MWYzKRBH342gD5alvTYiPhFSYdIOsL2I4aG+b6kYyR9ZMTnlyLikPJxZF2NzC4IIulhki6JiMsiYoekj0o6amiYoyR9oPz/Y5IeZ9sNtrEFnLQB6DLqglSuC3VBqIsBAGMN1xxZ1qaWWoI+iMLqJZA9y0cMDfPdiLhARd+dVuQYBLmHpMsHnl9RvjZymIi4RdJPJd25kdZhg3LMBslF6l1iOnySWRm2DwAA1rTetcCFjl8LBRJie3fb50m6WtKnIuLMKT6+2fbZts+w/fSamtjvwqi2XyLpJeXTBen132yzPZjKvpKuabsRmAnLMH8sw7ztq2hg+dUd56zr+/NYs9kG88cyTMC4y9Hj4ivleyzDvNyr7QbU66pTpNfvW+MINts+e+D5cRFx3OAAEbFT0iG295Z0gu0HRcSFE37/vSLiStsHSjrV9tci4tKK2n6rHIMgV0q658Dz/cvXRg1zhe09JN1R0rXDX1QusOOGX0f6bJ8dEYe23Q5sHMswfyzDvLH88scyzB/LMH8sQ6QkIo5ouw2rIuIntk+TdISkiYIgEXFl+fcy26dLerCkyoMgOXaHOUvSQbbvbXuTpKMlDVeOPVHSC8v/nynp1IjoQu9nAAAAAACSY/suZQaIbG+R9HhJ35jws/vYniv/31fSYZIurqOd2QVByhofL5d0iqSvS/rXiLjI9ptsr1aQfY+kO9u+RNIrJe1yG10AAAAAAFCZu0k6zfYFKpIXPhURJw2eq9t+qO0rJP2GpH+0fVH52ftLOtv2+ZJOk/SWiKglCGISJJAj2y8Z7n+GvLAM88cyzBvLL38sw/yxDPPHMgTyQxAEAAAAAAD0QnbdYQAAAAAAADaCIAiSYPsI29+0fYntXWq42J6zfXz5/pm2Dyhff7ztc2x/rfz72IHPnF5+53nlY7/mpqhfZlh+B9heGlhG7x74zC+Vy/US2/9g281NUf/MsAyfN7D8zrO9YvuQ8j22wQZNsAwfZftc27fYfubQey+0/e3y8cKB19kOG7TRZWj7ENtftn2R7QtsP3vgvffb/s7AdnhIU9PTNzNugzsHltGJA6/fu9znXlLugzc1MS19NcM2+Jih38KbbD+9fI9tEEhNRPDg0epD0u4qbn10oKRNks6X9IChYV4m6d3l/0dLOr78/8GS7l7+/yBJVw585nRJh7Y9fV1/zLj8DpB04Rrf+xVJj5BkSZ+U9KS2p7Wrj1mW4dAwB0u6dOA522Bay/AASb8g6YOSnjnw+p0kXVb+3af8f5/yPbbDPJbhfSUdVP5/d0k/kLR3+fz9g8PySG/5le8trPG9/yrp6PL/d0t6advT2tXHrMtwYJg7SbpO0nz5nG2QB4/EHmSCIAUPk3RJRFwWETskfVTSUUPDHCXpA+X/H5P0ONuOiK9GxFXl6xdJ2uLy1kpozIaX31pfaPtukvaKiDMiIlQcbDy9+qajVNUyfE75WTRv3WUYEd+NiAskrQx99okqqrdfFxHXS/qUpCPYDhu34WUYEd+KiG+X/18l6WpJd2mm2SjNsg2OVO5jH6tinysV+2C2wfpUtQyfKemTEbFYX1MBzIIgCFJwD0mXDzy/onxt5DBR3Cb5p5LuPDTMMySdGxHLA6+9r0w9/FPSuGsz6/K7t+2v2v6s7UcODH/FOt+J6lS1DT5b0r8MvcY22IxJluG0n2U7bNYsy/BWth+m4ir2pQMv/2XZTeZtXCiozazLb7Pts22fsdqNQsU+9iflPncj34npVLINqsiWHP4tZBsEEkIQBJ1g+4GS3irpdwdefl5EHCzpkeXjN9toG8b6gaSfjYgHS3qlpI/Y3qvlNmEDbD9c0mJEXDjwMtsg0KAye+efJb0oIlavVL9W0s9LeqiKNP0/aal5GO9eEXGopOdKervt+7TdIEyv3AYPlnTKwMtsg0BiCIIgBVdKuufA8/3L10YOY3sPSXeUdG35fH9JJ0h6QUTceuUrIq4s/94o6SMq0hxRvQ0vv4hYjohrJSkizlFx5fK+5fD7r/OdqM5M22BplytfbIONmmQZTvtZtsNmzbIMVQaQPyHpdRFxxurrEfGDKCxLep/YDusy0/Ib2F9epqKe0oNV7GP3Lve5U38npjbTMiw9S9IJEXHz6gtsg0B6CIIgBWdJOqisgL5JxcnUiUPDnChp9Y4Fz5R0akSE7b1VHPS9JiK+uDqw7T1s71v+v6ekp0q6UKjDLMvvLrZ3lyTbB0o6SNJlEfEDSTfYfkTZheIFkv6ziYnpqQ0vQ0myvZuKA79b64GwDTZukmW4llMkPcH2Prb3kfQESaewHTZuw8uwHP4ESR+MiI8NvXe38q9V1JNgO6zHLMtvn9UuEuV+8zBJF5f72NNU7HOlYh/MNlifWfajq56joQsCbINAgtquzMqDR0RI0pMlfUtFJsDrytfeJOnI8v/Nkv5N0iUq7lZwYPn66yVtl3TewGM/SVslnSPpAhUFU/9e0u5tT2dXHzMsv2eUy+c8SedKetrAdx6q4kDhUknvlOS2p7PLj40uw/K9wyWdMfR9bIPpLcOHqujjvl3FFeaLBj77W+WyvURFV4rV19kOM1iGkp4v6eah38JDyvdOlfS1cjl+SNK2tqezq48Zlt//Vy6j88u/Lx74zgPLfe4l5T54ru3p7PJjxv3oASoyR3Yb+k62QR48Ens4IgQAAAAAANB1dIcBAAAAAAC9QBAEAAAAAAD0AkEQAAAAAADQCwRBAAAAAABALxAEAQAAAAAAvUAQBADQS7ZfZ/si2xfYPs/2w8vXv2t73xbbdWzZrmOHXj/G9o/Ltp5n+4MVjW/i6bX9ftvfKcd/vu3HVdGGjbK9t+2XbeBzf277j+toEwAASNsebTcAAICm2f5lSU+V9JCIWC6DAJsq+N49IuKWGb/mJZLuFBE7R7x3fES8fMbvn9WrIuJjth8j6ThJB7XYlr0lvUzS/26xDQAAICNkggAA+uhukq6JiGVJiohrIuKqgfd/3/a5tr9m++clyfbDbH/Z9ldtf8n2/crXj7F9ou1TJX3G9lbb77X9lXLYo4ZH7sKxti8sx/Hs8vUTJW2TdM7qa+PYPtz2SQPP32n7mPL/79p+44jpuLPt/y6zTf5JksvXt9r+RJnhceEE4/+ypHuUn929nJ6zysya3x2Yznfa/qbtT9s+2fYzB9q3b/n/obZPH2jHLvPP9gPL184rx3GQpLdIuk/52rHlcK8aaMcbB+bN62x/y/YXJN1vvXkLAAC6iUwQAEAf/bekN9j+lqRPq8iw+OzA+9dExEPKrhZ/LOm3JX1D0iMj4hbbvyrpryQ9oxz+IZJ+ISKus/1Xkk6NiN+yvbekr9j+dERsH/j+X5d0iKRflLSvpLNsfy4ijrS9EBGHrNHuZ9v+lfL/v5f0nXWmc9R0/JmkL0TEm2w/RdKLy2GPkHRVRDxFkmzfcZ3vPkLSf5T/v1jSTyPiobbnJH3R9n9LerCKgMMDJN1V0sWS3rvO975OI+afpP8h6e8j4sO2N0naXdJrJD1odX7ZfoKKzJSHqQjunGj7UZK2SzpaxTzfQ9K5ks5Zpx0AAKCDCIIAAHonIhZs/5KkR0p6jKTjbb8mIt5fDvLx8u85KgIWknRHSR8oMxBC0p4DX/mpiLiu/P8Jko4cqDmxWdLPSvr6wPC/Iulfyi4vP7L9WUkPlXTiOk2/XXcY24evM/yo6XjU6v8R8Qnb15evf03S39p+q6STIuLza3znsWWgZ39Jv1y+9gRJv7Ca5aFiXh1Ujmt1Oq8qs2XWs9b8+7Kk19neX9LHI+Lbtkd99gmSvlo+31a24w6SToiIRenWjBsAANBDBEEAAL1UnpifLul021+T9EJJ7y/fXi7/7tRtv5V/Iem0iPg12weUn101mOVhSc+IiG/W0e4ht+j2XVs3D70/ajpGiohv2X6IpCdLerPtz0TEm0YMuloT5PdVZHX8kopp/v2IOGVwQNtPnrDtg+1ea/593faZkp4i6eSyy81lQ8NY0v+KiH8cascfjmkHAADoEWqCAAB6x/b9yoyOVYdI+t46H7ujpCvL/48ZM9wpKmqKrNbaePCIYT6vomvL7rbvoiJj4iuTtH3I9yQ9wPZc2XVkkru1fE7Sc8u2PUnSPuX/d5e0GBEfknSsii4+47xT0m62n6himl9qe8/yu+5re2s5rtXpvJuKrJtV31URQJFu61YkrTH/bB8o6bKI+AdJ/ynpFyTdqCLLY/Czv2V7W/mZe9jer2zH021vsX0HSU9bfzYBAIAuIhMEANBH2yS9owwc3CLpEhV3ZRnnr1V0h3m9pE+MGe4vJL1d0gW2d1NRt+OpQ8OcoKIryfkquta8OiJ+OO1ERMTltv9V0oXleL66zkck6Y2S/sX2RZK+JOn75esHq+jqsiLpZkkvXWfcYfvNkl4t6fGSDpB0bhm8+LGkp6uYzseqqAXyfRVdWgbb8R7bf6HbZ9WsNf+eJek3bd8s6YeS/qqswfJF2xdK+mREvMr2/SV9uYyhLEh6fkSca/t4FfP7aklnTTCfAABABzki2m4DAADoAdvvV1Fv5GNttwUAAPQT3WEAAAAAAEAvkAkCAAAAAAB6gUwQAAAAAADQCwRBAAAAAABALxAEAQAAAAAAvUAQBAAAAAAA9AJBEAAAAAAA0AsEQQAAAAAAQC8QBAEAAAAAAL1AEAQAAAAAAPQCQRAAAAAAANALBEEAAAAAAEAvEAQBAAAAAAC9QBAEAAAAAAD0AkEQAAAAAADQCwRBAAAAAABALxAEAQAAAAAAvUAQBAAAAAAA9AJBEAAAAAAA0AsEQQAAAAAAQC8QBAEAAAAAAL1AEAQAAAAAAPQCQRAAAAAAANALBEEAAAAAAEAvEAQBAAAAAAC9QBAEAAAAAAD0AkEQAAAAAADQCwRBAAAAAABALxAEAQAAAAAAvUAQBAAAAAAA9AJBEAAAAAAA0AsEQQAAAAAAQC8QBAEAAAAAAL1AEAQAAAAAAPQCQRAAAAAAANALBEEAAAAAAEAvEAQBAAAAAAC9QBAEAAAAAAD0AkEQAAAAAADQCwRBAAAAAABALxAEAQAAAAAAvUAQBAAAAAAA9AJBEAAAAAAA0AsEQQAAAAAAQC8QBAEAAAAAAL1AEAQAAAAAAPQCQRAAAAAAANALBEEAAAAAAEAvEAQBAAAAAAC9QBAEAAAAAAD0AkEQAAAAAADQCwRBAAAAAABALxAEAQAAAAAAvUAQBAAyZ/uRtr/ZdjtSYfuTtl/Ydju6zvbptn+77XakwvYxtr9Q9bAAAKBaBEEAIEG2FwYeK7aXBp4/b3DYiPh8RNyvrbYOKk/udg61/501ju/PbX9o8LWIeFJEfKCGcb3fdtg+auj1t5WvH1P1OCds14ttf8P2jbZ/ZPtk23dooy1Ii+3HlevGou3TbN9rzLCH2P687Z/avsL2nw6897yhbXqxXOd/qXz/z23fPDTMgU1MIwAA0yIIAgAJiohtqw9J35f0tIHXPrw6nO092mrjmHF/ebD9EfHyRhtWr29JesHqk3IePEvSpW00xvajJf2VpOdExB0k3V/S8W20BWmxva+kj0v6U0l3knS2xq8bH5H0uXLYR0t6me0jJSkiPjy0T3qZpMsknTvw+eOHtvvLqp8qAABmRxAEADJi+/DyKu2f2P6hpPetvjYwzENsf7XMDPg328fbfvPA+6+2/QPbV9n+7fKK7s+V783Z/hvb3y+zCt5te8ta456i3buk/w+N9/2232X7E2W7z7R9n4FhH2j7U7avK9v1P20fIel/Snp2eeX5/HLYW7tp2N7N9uttf8/21bY/aPuO5XsHlG14YTm919h+3TqT8n8l/YrtfcrnR0i6QNIPB9p6H9un2r62/M4P29574P3v2n6t7YttX2/7fbY3TzovhzxURdDpq5IUEddFxAci4sbheVE+v91yKKf/FbYvK9t6rO3dBob9ou13ltkB37D9uOEG2N5ULpeDB17br8wWuMuI4X/O9mfL77zG9vHl62+0/Y7y/z1tb7d9bPl8i+2bbN+pfP4I21+y/RPb59s+fOD772j7PeU6fqXtN9vefZJpsv0a2yetNbPL9y8t19GLbf/amGHXnLcDw/xNuQ58x/aTBl5/ke2vl+O5zPbvrjWeMX5d0kUR8W8RcZOkP5f0i7Z/fo3hD5D04YjYGRGXSvqCpAeuMewLJX0wImID7QIAoFUEQQAgPz+j4mrtvSS9ZPAN25sknSDp/eUw/yLp1wbeP0LSKyX9qqSfk3T40He/RdJ9JR1Svn8PSW+YZNwVOFrSGyXtI+kSSX9ZtvkOkj4t6b8k3b1s12ci4r9UZEGsXoH+xRHfeUz5eIykAyVtkzTcPedXJN1P0uMkvcH2/ce08SZJ/1m2VSqyQj44NIwl/a+yrfeXdE8VJ6CDnifpiZLuo2J+v37MOMc5U9ITywDCYbbnNvAdvybpUEkPkXSUpN8aeO/hKrJc9pX0Z5I+vhqIWBUROyR9VNLzB15+jopl9OMR4/sLSf+tYjnvL+kd5euf1W3r40NVBJYeVT7/ZUnfjIjrbN9D0ickvVnFuvjHkv59IODyfkm3qFhPHizpCZIGa5esOU0R8ZaIeOqINq+6VNIjJd1Rxbr6Idt3GzP8evP2m2U7/lrSe2y7fO9qSU+VtJekF0l6m+2HSJLtny2DP2s9nlt+xwMlnb86sojYXrZ/rcDG2yW9oAxA3U/FPP/08EAuutQ8Sruu908rg2EX2X7pmHkCAECrCIIAQH5WJP1ZRCxHxNLQe4+QtIekf4iImyPi45K+MvD+syS9LyIuiohFDZyclydgL5H0R2VGwY0qggxHD3x+3LhvbcPQSdkjJpyuEyLiKxFxi6QPqwjESMXJ4A8j4m8j4qaIuDEizpzwO58n6e8i4rKIWJD0WklH+/Zded4YEUsRcb6Kk8ZRwZRBH1Rxsri3im4D/zH4ZkRcEhGfKufRjyX9XTncoHdGxOURcZ2KYM9zJpye24mIz6u44v8QFYGBa23/3Wrmw4TeWi7v76s4ER5sy9WS3l6uS8erOGl/yojv+ICk5wycxP+mpH9eY3w3qwii3b1cnquZKV+WdJDtO6s4yX6PpHvY3qZi/n22HO75kk6OiJMjYiUiPqWiq8eTbd9V0pMl/WFEbI+IqyW9Tbdfhyedpl2UWRVXleM9XtK3JT1szEfGzdvvRcT/iYidKubf3STdtRzPJyLi0ih8VkXQ6JHle9+PiL3HPD5Sfv82ST8das9PJa1VL+YkSc+UtCTpG5LeExFnjRjuBZI+HxHfGXjtX1UE/O4i6XdUBBM3tE4DAFA3giAAkJ8fl+nto9xd0pVDaeqXD71/+Rrv3UXSvKRzVgMYKrIvBrs0jBv3qjOGTsrOWGf4VT8c+H9RxUmcVGRSbLTmxt0lfW/g+fdUBInuOsF4RypP2u8i6XWSThoOBtm+q+2Pll0xbpD0IRVX+wcNzvfvle3cRXlVfbXQ5CPXaM8nI+JpKrIijlKR+TLNXVvGtWV4XRrZ1jIotSjp8LK7xc9JOnGN8b1aRbbMV8rp+63yO5ZUBDMerSII8llJX5J0mG4fBLmXpN8YDLSpyOa5W/nenpJ+MPDeP0rab9ppGsX2C2yfN/DdD9Kuy3bQuHl763pXBiSlct2z/STbZ5SZFT9REdgZN55RFlRkkgzaS9KNwwOWmTD/JelNkjar2OaeaPtlI773BSqCNreKiIvL4NDOiPiSpL9XEVABACA5BEEAID/j+uH/QMXVcw+8ds+h9/df471rVFwFfuBAAOOOZSHEScY9znYVARZJku2fmeKzl6voyjLKeu25SsWJ8aqfVdFV4kdTjH+UD0n6/7VrlwCpyJ4JSQdHxF4qMhc8NMzgfP/Zsp27iIgHDhSa/Py4BpXZCZ+RdKqKk3NpaL6r6M40bFxbhtelNduq4sT4+SqyQD62VrAsIn4YEb8TEXeX9LuS/rfL2jAqAh2PVdGN5azy+RNVZFt8rhzmckn/PBRo2xoRbynfW5a078B7e0XEYBeQaabpVmU3kP8j6eWS7hwRe0u6ULsu20ETLeeh8cxJ+ndJfyPpruV4Tl4dT9kdZmHMY/XuURdpIKvJ9lYV3a8uGjHaAyXtjIgPRsQtEXGFii5OTx5q22EqAjkfW2cyQuPnCwAArSEIAgDd8mVJOyW93PYeLm7nOpiu/6+SXmT7/rbnVdw5QlJxEq3iJO9ttveTJNv3sP3ECtp1vqQHurgN52btWiNjnJMk3c32H7oo3HoH2w8v3/uRpAOGC04O+BdJf2T73mW3itUaIrdscDpW/YOkx+u2E/NBd1BxFf6nZf2KV40Y5vds719egX+dNnhHF9tH2T7a9j4uPExF1sRq9s15kn7d9nwZaHjxiK95Vfn5e0r6g6G27CfpFWWdiN9Q0eXh5DWa8yEVNTCer9HBodU2/4bt1UDc9SpOmFfK559VkWlwcRS1Rk5XkdXynbitvsiHVNSfeKLt3W1vdlG0d/+I+IGKriN/a3svF4Vx7+PiLjrrTpOLW72evkbTt5Zt/XE57It0W7BpLePm7Vo2SZorx3OLi4KpT1h9s+wOs23MY/XuUSdIepDtZ5Tb3BskXRAR3xgxzm8Vk+TnlvPsZyQ9W0XR30EvlPTvZVe5W5Xr4eA6+AoVtXMAAEgOQRAA6JDyxPHXVZzs/kTFCelJKq6OKyI+qeIE/jQVxUdXT5aXy79/svp62ZXj0yqKhs7arm+pSLX/tIo6Cl8Y/4nbffZGFQGHp6noQvBtFYVOJenfyr/X2j53xMffq6I2xeckfUdFYdPf38AkDLfpuoj4zFC3ilVvVFGj46cq6nR8fMQwH1Fxsn6Ziq4+bx4xzCSuV1GD4duSVrveHDtwIvw2STtUBIs+oKLWyrD/lHSOioDJJ1TU4lh1pqSDVGQJ/aWkZ0bEtaMaEhGXq7hlakgal7XyUEln2l5Q0WXmD+K226l+SdIW3RZculjFMrs12FSO5ygVdwb6sYrsj1fptmOaF6gIJFysYv58TEVXmUmm6Z6SvrjG9F0s6W9VBBp/JOngtYYdMG7ejlSu769QEbC8XtJztXbXonHf82NJz1AxjderKMR6a20UF3d+enc57A0q9ht/VA57noosl8G7Sm1WUVPodl1hSker2G/cqCIA9taIGDUcAACt8+jjNwBAV9g+U9K7I2KXW9q6uBPKhZLmKsiOwARsf1fSb0fELnfeaKEtIemgiLhkxHvHqGjnr0zxfe+VdFVEbPRuN7Vab5psnyfpcWsFeqYc15rzFgAAtIdMEADoGNuPtv0zZXeYF0r6BRVFD1ff/7WyW8k+kt4q6f8SAMGsbB+gIptg3WyHVEXEIVUEQAAAQLoIggBA99xPRQ2On6go3vnMslbCqt9VcZvQS1XUD3lp4y1Ep9j+CxUZRccO3ToVAAAgKXSHAQAAAAAAvUAmCAAAAAAA6AWCIAAAAAAAoBf2aLsBqdhj371jzwPu3nYzkrCbVtpuQvKYRwWrf93purzsu7Q8c11OubQ75Xam0ra2t6c25kOT46x7XHV9f9XrRZXtnPW7Zp22jY5/2s9N285Jv3/i4VbWH7/X+6qdY94b9/Vrfe+o1zf62jTPR/0/7rXV6Y6h9wb+jxVpZUVaCenm8iO3qLhX/Iqkq6RrIuIuI6akE+5rx/Yav/8q6ZSIOKLGUTSCIEhpzwPurnuf/eG2m5GEeS223YTkbWEe3WpOO9puQuO6vI1s6tDyzHU55bJ/mddS200YaU7LbTfhVltankdtbAObGpr/da9/dc27OvaxVbW1iu+ZZfo2Ov5p95nTHrdM8/3zO9dfL+eW1x//3HpnsQtj3hu3Ca71vaNev2nCYYefD49/3PA3jXh91PvD7y0PvTYw3M3bpaVl6cabpB9JukHF3yslLUl6vfQ9ddh2SS+r8ftfL+1b49c3hu4w2MWi5ttuQvKWmEe3WtamtpuACu1geQLIwKK21Pz99fzOs49tH8ctE9rcdgPWsbXtBiBnBEEwEoGQ9REI6S+2jzzkupzYt8xmWXNtN+FWSzWfqAMAgOkRBMGacj2BaBInK4U+XlXp8vbBlUpMou4r8ZhdG/upHQkFoQAAGIWaIBhrUfPZ9qtvypLms+nDX6dlbeplfRCkLdd9GPuV2SxrLqnaIEAOct1f5mZ5btNEdUE2bE7j64KkbqvWrl2Cde0mcYliAmSCYF1dvuINzKLL2wbZIJgE2SDro0tMfagLUujKb1Gq00HW75RIBkMGCIJgIqn+MKWCH8gC3WK6pSuBkFyXEfsVVIEuMWhSG78bXdxXLlP0E6gVQRCgIl38Ed6IPgZCgD5LNRskpQKpAFCpbW03AMgbQRBMLNerqU0iEFLoWyCky9sGMLF9LAAAIABJREFU2SDA7OgSA6Slb8cptSJrBRmiMCqmQtEsAGhOLgVSF7VF81pquxm7oEBqoY3f7h2a06YG5n3d615d826HNmlTgsXEOc6bzeLuWzS/M7194a3WKjpaZzHSJgqdbpZ0U83jyMTukvZquxEZIBMEU+OK6nhkgxT6dpWly9sF2SDA7MgGQZ3YvwHA5AiCYEP4sR2PQEiBQEh3dCUQkiP2JwByMsvvRZd/RwGkgyAINowfqvE4cQHSw36rPhRITVuX1/1U1z00h2MuANMgCAKgVmSDdAfZIO3hAL8b+tYlpiu3yu3yfh2TYR+cp8E9LnUyMIggCGbCgcF4/GgWCIQgJSyf+qR6RZ5sEKSo6sByVfs29pH1W57r13ERkBruDlMKue0mZItK4uPlcneHui1rk+YSrISP6aR6R4Np5bjfYl+CWeW43gMAJre7pDu03YgMkAkygFTvjeOqwXhkhPQP2wT6KtVskFTQJaYeda937NO7p29ZqgBuQxBkCIGQjeMAYTwCIf074OjqNtGV/WSOy4f9yMbRJQZoDneImd3y1hk+zO4OGIsgyAhdOcBvAz9cWE/fAiFdxX4S45ANMl6b2SD8TqeFfWn3LP4/9u4/3raqrBf/59kb9zp7nx8CIlwDvGIR+RMEUq5XTcMf6KsbftW+aRZoKJGodO2W0re0b97S6qblt4SOQELXzEILvILKlxSvKdjBEFQsDlgKoQgov/Zh7TznuX+sudhrr71+zF9jjucZ4/N+vdbrnD3X2nPNPecYY875zGeMsZhQ+7cl9gYQhcEgyBQ8KdXHC6zp+BQ3P6wPtnk8PmxH6mM2SBypdInxIOfBUbNrG7dF+t4mGSpERnBg1BlSGQCQbOHghvkNkprqYIRsI2mWVSxjBXtibwZRa1Jty4mi2QLgwRKf2wrggcDbkogFILdwYC3MBJmDGSH1eHyC0KXsnlZMwG4xZIXH9optiH/sEkPkC9tdonQwCFICAyH18CJrNp5M8wqEpFof2D6SN+wSE0dXXWI8SrUdTfXvIiL/GAQpiQ15Pane+BHVkWp9SKF99HhsPARSOUYDdY1lLg1dtckxH8b0e5G+O/aYHrG/nwgMglSSwoV+DB5vLrri4SYmtJyyQYjIBivZIOwS44+H/Zbz4KhERGVwYNSKOBBgPRxMbDoOlJrXQKmp1oUU2kaPx8ZD+8EBUomIHODgo0lYALA99kY4wEyQGpgRUg+fKEzHjJC8sC7YxWOTD2aDdF/eOVXudLy2bAevpxxjN5lkiMhZIvJlEfmKiPzShPdfKSLXi8gNIvI5ETm6621kEKQmnqyI2sVuMf6xXYzDw0W/x5tSIqK6Vhczb/NCxTsZKDFPRJ4I4LUAngrgaAA/ISI/NPaxrwP4MVV9EoC3A9jZ7VYyCNIIL/ir41PW6TzcyISWUyAk1bqQQruY6rEhonZ4aCOsbGMK54SY+l5u+r1sJ3XhcQCuUdVVVf0+gKsAvGT0A6r6OVX9bvHj1QAO63gbGQRpio17dVZOzBYxEJJXIISoLR7aDovZIOwSk26XGGpHzGs2i9eLHtpaosi+DOCZIvIIEVkB8CIAh8/4/GkALu9ky0ZwYNQWpDAgYNc8DkDYFQ8DHVI7Uq0HKbSJqR4bolx4HJA3hbaTOrYNwP1T3usB6He4LSFsAfBg7I3wZRHAjrBfcZCI7Br5eaeqPtSdRVVvFJHfBfBJDIbavQ7A3kkrEpHnYBAEeUbA7Z2IQRCKhjcZ0+UeCOFsMUTVeWg3LN6Y9tFDz/2dAhHVldM1B1EL7lTV42d9QFXPB3A+AIjI7wC4dfwzIvJkAOcBeKGq3hViQ2dhd5iWsFtMPRZTHckGdovxLYU2ke0TdYldYnxh+2AXu6wQxSUiBxf/PhqD8UD+Yuz9RwP4CICfU9V/7n4LGQRpVQoX/THwQmIynsTzkWodYJvYPbYbROssjkPTJSvnFp4Lpuv3uG9q8R9HTd2HReSrAD4K4ExV/Z6InCEiZxTvvxXAIwC8V0SuG+te0wl2h2kZ+3PWwy4Bk3lIbw8ppxRV1gGbeFzaxy4x0+3BMpaN7RsitoPU2FYMRoegLKjqMycsO3fk/68B8JpON2oMgyABMBBCbWIgJJ9ASIrYHnYv9zaD6un6RncNPSwZCDxZwzZzIwZgDLA+OCkDLBssAJnnwJXD7jCBMPWvOitpmxblnuKey/ggrAM28bi0z2I3BSvT5ZIfbBtoltVFe+0cEQ0wCBIQAyHV8YKCcpdiHUihLfR2XHIPnHoWc4DUFFkMuHXJW9vlQRLt69bIv08UGYMggaVw8d81nrAnS+Kk20Au2SCpYltI4yzenOaeDcJZYihXlq8x+gw4ELWOQZAO8OK/OgZCJmMgJI+6xPJvk7fjknt7QdSFEO2CxevGpn9n138T2z8imoUDo3aEA11Vx8GwJst90MNcBkpNsfyzHaRxFmeKsYCzxLSL5YyoJCuDjFrZDocWAeyIvREOMBOkQxYj+9Z5e/LaFT7hIIrDW5vEtqI6dolhlxiyxVu7S0T2MQjSMQZCquPJj8axW4xfbANpnMWxQSzgAKnUlhTPJSnp9xqeF7fNeI8xRgBgDaBNGASJgDcB1Ibcn/AyEOKX9zbQ2zHJva2oI/dskBSFDLblMi4IEVEqGASJhCe3arzddHQl95ubXAIhRERdYpcYmsTb4KgWrC4yo4vIIg6MGhEHCawmxYEi25D7QKk5SLHse2//vB0T6+0EB66cjAOkEnWnysDr1ttUyteCANtDxpUfDLjuDjETJLIco+JNMCNkspwzQnLJBkmx7Htv/1I8JrSOXWIoJTm2VzlfGxHRbAyCGOD9RqBrOZ7IabZcAiFETVi/IeAAqZPFGiA1xXMtxwXxK8XySETxBAuCiMjhIvIpEfmqiHxFRM4qlh8oIleIyE3FvwcUy0VE3iMiu0XkehE5dmRdpxafv0lETh1ZfpyI3FD8zntERGZ9h2U80VXDk+Fm1m9wqLkUy733ti/FY0LrmA3SHY4LQuTc1rGfy1bpLW1vCNF8ITNBvg/gl1X18QBOAHCmiDwewFsAXKmqRwK4svgZAF4I4MjidTqAc4BBQAPA2wA8DcBTAbxtJKhxDoDXjvzeScXyad9hmvebga7x5mOznAMhuWSDsNxTE9bbCGaD2ML2hsaxTMTRHw8wEFEjwYIgqnq7qn6x+P99AG4EcCiAkwFcWHzsQgAvLv5/MoCLdOBqAPuLyKMAvADAFap6t6p+F8AVAE4q3tuhqlerqgK4aGxdk77DPAZCquHJeDPrNzkh5RIISY33do/tUNosZIPE6hKTIgba4vLe3lNLGNShyDqZHUZEHgPgKQCuAXCIqt5evPUtAIcU/z8UwDdHfu3WYtms5bdOWI4Z3zG+XadjkHWC/R79qIp/VTjeZ03omrdZGrqQ86jlVUZ39yrFMs92rzvW2wfOFJOvNfSwhH7szagtRNvcZtuY4rmDGtgK4IGSn92CZGYFSd3CArDM2WHmCj4wqohsA/BhAL+kqveOvldkcGjI75/1Haq6U1WPV9XjFx9pa9gQRsqJaBZmH9jC40GpYtkmz6pmx1bJKG0z87bf43U/UZeCBkFE5GEYBEA+oKofKRZ/u+jKguLfO4rltwE4fOTXDyuWzVp+2ITls77DFQZCyuNF2mbsFpO+1Mo927zuWG8frHVZYJcYovi8nvNWFzuou9vCf0UK2IrSUMjZYQTA+QBuVNV3jbx1KYDhDC+nArhkZPkpxSwxJwC4p+jS8gkAzxeRA4oBUZ8P4BPFe/eKyAnFd50ytq5J3+EObwrK83pyDMn6jU5IuQRCyA5vbVDO7QPZ1cUsMd6myrUmh78xa2XH6+C4HuRYyEyQ/wzg5wD8uIhcV7xeBOCdAJ4nIjcBeG7xMwBcBuAWALsBvA/A6wBAVe8G8HYA/1C8fqtYhuIz5xW/czOAy4vl077DJQZCyuOJebOcb3RyCISkVua9t3epHY+YmA2yWaxsEJbruNpsFy0cS+/tvDvxmy4ic4INjKqqnwUgU94+ccLnFcCZU9Z1AYALJizfBeCJE5bfNek7POOggeVx4K/NrA+ESM2kVubZ3nWHbQMREVE6ZAF4WMgsnXsCrrtDwQdGpfYwcl6ehScd1uSaEZJDNgjZwvanPcwGyZP3LjFENEGZG3N2saGOMAjiDAMh5fFGhIZyCISkVt7Z1nUn1wCpV+wSYx/3lS1s44hoHIMgDvHmoDxeiGyU84UAAyH+eG7rUjsWRBSXtfYwVhvXxfdavV7oM0uCqDUMgjhl7WRoGW9GNso5EEJEk1luF6x1W7DQJSaH6XLZJSYcC9dFqVzHWm47s8DAENUUbGBUCo+DB1JduQ6G2McSeonXGQ6Sakdqx4KIZZqontXFZazs3TPzM/3eEnp9n+c7MmQBDA6VwEwQ51KJpIdm4amHNbk+vbCa5tomlnc7PB0Ly22CtSf2FrJByDZPdZ8oRdu3xN4CsoxBkAQwEFIOL0hoKIdASErYxhFtlsMAqV10ifGEbSERUTsYBEkET4zlMBCykeUnv9RMamXdcxvn6VhYbhOYDUIhWCtXXWmjXfLUtmVhW43fSbTbxDKbZ5qDQZCEeL5J6BJP2htZvukJKYdsEJZ1orTlMECqZ2yDw6izX3O91klKogEbioNBkMQwEFIOL0w2yvXiIIdASEo8t2+e2hzL7UGuT+2tYZcYaoPlNp3XB4ZUHNvjYbkHSxYw2GehXolgECRBlk8qlni6KemC5RufkFK/0GE5JwqHXWLS4Cm4xms8qqWNpqrMDXDuAQhyg0EQyhpvEDfKNRCSupTKuecbAE/HwXJb4OmGtQvsEkMUl+X2MjsTgjA7ut8KcoBBkER5vlHomqcbEwoj9WyQ1Hhu39jepCfXbBB2iSnHcp3n4Kj+9LvKtGjre/xWXUocgyAJ83yj0DWexNfl+kQj9UAIyzhVZbktYDbIRswGIbJvdXF+Pe330r4WCSqh8SoovP1ibwCFtYYlLGEt9ma4sIoVrGA19maYsAcrWM5wX/SxhF7C9SWlMu65bUvpONBAHz300I+9GdTAKpaxgj2xN6MUz+3fuLp/S512NNdrm+RsBfBA7I0wbAEcm6UEZoJkgBkhVIflp8BEANu2LlhuB5gNEh+7xBARkUcMgmSCNwvlsMvARpZvgEJhtxjqAo8DtY1dYuyyXN85Lsh0qV8PtIIZB+QUgyAZYSCknFRP5nUxEJKelMo427XwLLcBlrJBch0gNSWWyhMREYXDIEhmeMNQTko3iVQPAyF+eG3XUjoGZEOMbBB2iYnDa7tHgW2LvQEtYpYJBcSBUTOU0oBaIXHwwnUcTIwoDC/tjOU2wNKAlhwglabxUtdj6HJw1FAst5FmcYDTMDgwainMBMkUnyCUwye16yynxIfCbBA/2KYRxZNSW5Jjl5iUjh/VwBtmyhCDIBlbwxJvHErgxcE6BkLSw/Idn5djYLn+W7pxjT02SOoDpLJLjE1sx8pZXUy7fta2JfYGUJtE5L+KyFdE5Msi8kERmXiEReSlIqIicnzX28ggCDEQUoKXk3sXYl9AxJB6ICQVbMvCy7H+E1nFNi9N/d7s49qvm7lhIX7IrJPkicihAN4I4HhVfSKARQAvn/C57QDOAnBNt1s4wCAIAeCJtAwGQtbxRigtKZVtr21ZSseA8swGSakMh8osSmkf5YIPQYhq2Q/AsojsB2AFwL9N+MzbAfwugAe73LAhBkHoIV5vHrrEC5h8pX4hxLJNZVkNglrqEkNhsUsMEdEUgkHWT6gXcJCI7Bp5nT769ap6G4D/AeAbAG4HcI+qfnLDJoocC+BwVf1Yy399aQyC0AYMhMzHm8UBqzdCIaUeCEmF13aMbQsRxRK7/anbbsfebqIM3amqx4+8do6+KSIHADgZwBEAfgDAVhH52ZH3FwC8C8Avd7nR4xgEoU283kB0iSfdAQZC0pJSufbajnk5BlbrvqVsEHaJoS5YautyP/5W28VWcQBTmu+5AL6uqt9R1X8H8BEATx95fzuAJwL4tIj8C4ATAFza9eCoDILQRJZOqmRbFif9MQyEEBHFFbpLDMcFSVeO1y21WB/ElL3irPoGgBNEZEVEBMCJAG4cvqmq96jqQar6GFV9DICrAfykqu7qciMZBKGpGAiZjRcy63hBkZZUyrbXNszL/rda75kNso7ZIERE1CVVvQbAxQC+COAGDOINO0Xkt0TkJ6Nu3Ij9Ym8A2baGJSxhLfZmmLWKFaxgNfZmmLAHK1jOaF/0sYQe64Z5bMOIiMrhNU03VheXsbJ3T7gv2Abg/nCrD24rgAdibwQ1oapvA/C2scVvnfLZZwffoAkYBKG5eBMxGy8a8pVyIITlOi4v+99q8HMVy1hBwJuMCvrooYd+7M1I0hp6WAq4b0OVo7brdyrXaVb/jpTP9UEwiBHXIux3ZTKA3WGoFK9p5V1h+u+A1fT4kDg+iH1e269U9j/FxS4x1KUYxz7F8tbv+TxvEXnBIAiV5vVGoispnoTryDEQQpQzq3WeY4MQUar6fNJP1AiDIFQJAyGzMRAyYPWmKBRmg9jnte1KZf9TXDGyQbridZYYq3Jpc0Jdp7i9/mkSVLEQkLGwDeQKgyBUmdebia7kcgExj9sLgZoYCLGPbVc4Vut7bjewlqTSboTS9v5h+0alxEhKYyIcGcSBUakWq4NXWeFlUMPQrA6aGAoHT6MQ2J6kgQOkUi6atFm8viRqaAHMjCmBmSBUG586zManYANWnxBTNamUZ6/tlof9b7WuMxtkgF1i6mMZss9DG0lEdjAIQo14vaHoCk/K+WG3GPvYboVjNRBiRW4DpKbSZoTC/eNH2+f21UUG1rqwY+T/26NtBVnEIEhhH3dFbbyhmI0XOfndGDEQQiFw39fHJ/kDKWeDUHvXY2xriCh1vPMfwUa/PgZCZmPZYiCEbGGbFU5udb0qZoOEEbpLDKWHbRVRvhgEGcOb1fp4UzEby1Z+FxypBkJSKcse26xU9n0MzAahJlh+qmnSVnlsm0Po9xrsh23tbQc5swBgS8BXIhgEmYAXmfXxxEXz5BYISRXbSZqF9Xy2mNkg7BJjC9vS9CTV/nGWEUoUgyBT8KRUHwMh07FcDSR1gTBHqtkgqfDYXrEdqY9P8+Ngl5ju5DwuiMdtbqIfK0CRUDYA5YtBkBlWsZJdg9oWjzcWXWGZGmAgxL9UyrLH9srDvs+pjnvDbJB6GETLW6rn8qjKBnIYeKGWMQhSgoeLTYs83lh0hWUqP6lePLEskzdWbmRzGyCVpmM7SkTULQZBSuIJqh4GQqZjmcrvSTEDIXZ5bKs87Pfc6jhNxy4x+fEwOGrMNmp1MVJANnYV4TgjYS1gsI9DvRIRLAgiIheIyB0i8uWRZR8SkeuK17+IyHXF8seIyJ6R984d+Z3jROQGEdktIu8RESmWHygiV4jITcW/BxTLpfjcbhG5XkSObetv8nDBaZHHm4uusEzxJonsYFuVD2aDsEtMXVbKziw5jwtCDSR0g0s0T8hMkPcDOGl0gar+tKoeo6rHAPgwgI+MvH3z8D1VPWNk+TkAXgvgyOI1XOdbAFypqkcCuLL4GQBeOPLZ04vfbw1PCPXw5mI6lqm8AiHMBqE2edjvOdVvms1DeSXfWMaIqIxgQRBV/QyAuye9V2Rz/N8APjhrHSLyKAA7VPVqVVUAFwF4cfH2yQAuLP5/4djyi3TgagD7F+tpDRvYehgImY5lKq8bJQZC7PLYTnnY7xbrt5Un+swGaZ/HLjEe6jGVZ7HN61SdrJIyg58yW4VaEmtMkGcC+Laq3jSy7AgR+UcRuUpEnlksOxTArSOfubVYBgCHqOrtxf+/BeCQkd/55pTf2UBETheRXSKya993JsZrpuLJqh6PNxhdYZnK66Ih1UBICthOEdEsVgJos1hpx3ht00y/Z+M4EqVmv0jf+wpszAK5HcCjVfUuETkOwN+KyBPKrkxVVUS06kao6k4AOwFg6fgnVf79YcO+gtWqv5q1NSxhCWuxN8OkVaxkX572YAXLme8Dz1iG4/Cw3y3W7VUsYwV7Ym8G+uihh36U796DZSx3uA88lFVaF/N4Wbxe7GMJPWPbZMJWAA/E3ggCsD4wKs3UeSaIiOwH4CUAPjRcpqp9Vb2r+P+1AG4G8MMAbgNw2MivH1YsA4BvD7u5FP/eUSy/DcDhU34nCEa5q7PyhMIilqd8pJoNkkIZZhtF5Bu7xFBZnrNQ+7Nudrd1thnh8GaeAonRHea5AL6mqg91cxGRR4rIYvH/x2IwqOktRXeXe0XkhGIckVMAXFL82qUATi3+f+rY8lOKWWJOAHDPSLeZYHjiqo43GdPlXp48X5BUxUAItcXDPrdYt610bYg5NghVZ6XcEBFRdSGnyP0ggM8DOEpEbhWR04q3Xo7NA6I+C8D1xZS5FwM4Q1WHg3S8DsB5AHZjkCFyebH8nQCeJyI3YRBYeWex/DIAtxSff1/x+53wcAFqDQMh0+VenizeLIWSaiDEO4/tU+7tBtXT9QCpLKfd8NiGtcFT+VpdZDCNKIZgY4Ko6iumLH/VhGUfxmDK3Emf3wXgiROW3wXgxAnLFcCZFTe3NezrWp3FPp9W5F6eLI4hEEqK/YxTKL9sn9pnsV5bGRuE2rWGHpYijbWSkqZteQrnAmqoB7RaFTkGCTUUa3aYpHmKQFuR69OKMnIvTzllhKQo9/IbA/e5XzlNl8tyOhn3y0a8PjTA+rgc1revawsYTDcc6pUIBkEC4UmsOp7opsu9POUSCEm1W4z38su2qX0W6zTHeEhTyAFSWWZoFovtHBENMAgS0CpW3F/8d20NS7zhmCL3spTLxUSqgRDvvLVLubcXnnGAVGqTt7YrlirXGEmcp5s2MwllBFCeGATpAC9Gq+NJe7LcyxIDIX7lXnZjsL7PLdbn3J/ss0uMDSnul67/ppT2Yb+X3jUBUWwMgnQkpca4KwyETMaylAcGQuxhm9Q+i4EQC5gN0i52iWnOe/tNJVkZX8PKdlCyGATpEE8g1fGmY7KcyxJvmigmb21Szm1FXbnc1E7DbBCyxlu7S0T2BZsilybjNGHVcYrKyXIuSxan2AyB0+ZSDnKpz1X10UOP07tSC3gdZdvq4jJW9taforu/FehNmy52G4D7a686GduBfM4yC2AmTQnMBImATz2q41OAyXIuS7lkhLBbjD3e2iPv+zsGZoOk9/d76xLDektEFA6DIJFw5pjqvN14UHgMhPjlvf3z1h5Z39+51OWqchkbxHr5pIGmx8n6cQ4xQwzbNiKbGASJzPoJwRpvNx5dyL0M5XKBkWIghMiy3LNBiLzL/fqIiKZjEMQANtLVMBCyWe5lKJdASGq8l1tvbZH1/c16PFmsbBB2ianGepcYb+3VOO/bT0S2cGBUIzhYYDUc5Guz3MtQDoMrcqBUe7y1Rd73d9dWsYwV1B+wkMpj2SSart9bQq9v/FyzFcADM34u+3vUDAdGLYWZIIZYf0pnDZ8KbMYylL4Uu8Ww3NIQs0FsSTEbhJpJfVwQIsoDgyDG8ORQDQMhm+VchnK5gUoxEOKZt3bIehthrR5bGBuEA6S2h11iiApVqkLbmQXMVKDIGAQxiDPHVMOT+mY5lx9rN1ChpBYI8V5m2Q5RqpgNQp5VPbfEuoZYXWQ9I+oSgyCGeb8p6BJvQDbLufwwEOKT9zLrqR2yvq+t1WFmgxDFZ62NtTRNbp+ZFaXsiL0BZAaDIMZZv1C1xNrJ0YKcy4+1mygqJ+cy2zXua7KIXWLsY9vhzLaKny8bUNlSdUOoEwsYdHUK9UoEgyAO8GRTHgMhm+VcfnIIhKSWDeId26D2WKu/Fm5uOV1unlIbFyTn6xKi1InIUSJy3cjrXhH5pQmfe3bx/ldE5Kqut5NT5DrBqePKG57gPU1bGVrO5YdT5/rjvbx6mjbX+76mNHVRLtfQwxL6Qb+DiCg3qvpPAI4BABFZBHAbgL8Z/YyI7A/gvQBOUtVviMjBXW8nM0EcYeS8GgtPOyzJufxYe6IcQmoZITmXV1pnre4yG4TKsFBOiMwp03Sxi01qTgRws6r+69jynwHwEVX9BgCo6h1dbxiDIM5w5phqGAjZKOeyY+1mKgQGQuzw1PZY38851F2ieazV01jbU6dt9TJDzDz9np/zCiXtIBHZNfI6fcZnXw7ggxOW/zCAA0Tk0yJyrYicEmZTp2N3GKeYwlyep9T0LuRcdnLoGkN2eGp7cm4XqlrFMlawJ+o29NFDL0JXjj1YxnJHfzu7xIRjoW1Kpc1JrTuqOz0gwyo82wLKD25bz52qevy8D4nIEoCfBHD2hLf3A3AcBpkiywA+LyJXq+o/t7qlMzATxDFrTwUs8/RUtgssO+liNgilyOqTWaJp2CWGRpVpw1YXWWYoKS8E8EVV/faE924F8AlVfUBV7wTwGQBHd7lxDII4xxuE8hgI2SjXspPDzRQDIXZ4anc87+euWbjBjTU2SJdYJomoruX0m0jrXoHJXWEA4BIAzxCR/URkBcDTANzY2ZaBQZAk8CKhPE83JF3ItewwEOKP57Lqqd2xvJ+t1VsLgZAYUhsgdc1RMMnaVLmW24sc9et0gfBT/Ct5WNjuIDSHiGwF8DwAHxlZdoaInAEAqnojgI8DuB7AFwCcp6pf7nIbOSZIIoYnohT6V4ZmoS+sJan0y60qh/FB2FeZKG2xxgahciyMH5OiOtdxuV7rJGULgAdjbwSVoaoPAHjE2LJzx37+fQC/3+V2jWImSGIYlS/H05PZLuRabqw9WQ4hpYwQz+XUU5tjeT9bq7PMBgnPcnmkZiwfW2ttTdaqZnXkngUyHBg11CsRDIIkyPJJxRJPNyVdyLXc8ELHF8/llG0OhZDD2CCh5dolhtrh4mHDthbWUeYGOPZN8pbI309uMAiSKJ4ky+EwAGHhAAAgAElEQVRNyUa5lpvUAyEuLtAqyLWcdsnyPrZWX5kNEp7l8jiP5fLBcUH86fc6Op+3FcyIHRQBDNdAiolBkITxxFQOAyEb5VpurN1YtS21QIhXntoby21B6vWViNLDdiswAwEX8oNBkMStYsX0hawVa1hydXMSWq5lJvULlJQCIZ7LKNua9MR+2s8uMc2xS0wcdf+WOu2oh/22usi8hbkY7KAWMAiSCQ8NvwW8OVmXa5lhIMSPXMtolyzv49TrqgfsElNO7CAZUTAcg8OeBQyOS6hXIhgEyYjnC4guMRCyjmWGrPNaRj21M173cddi3+gyG6Q5T9kgbeG4INMx0EqULgZBMpPqiaptnm5QQsuxzKR+4ZNSNohnbGeaS72uetBlNggRZYTdXiggBkEylONNbR28QVmXY5lJ/eYqpUCI5/LppZ2xvI8t1VVmg4RluRzO03bZ8Lwv2mKp/bRyTu17Chx42lZKDoMgmeKAqeVYOsHGlmN5sXRzFYKVi7Y25Fg+u8Z9TNOklA3CLjHd67JtYTs2gYUiz4AIdWy/2BtAca1iBStYjb0Zpq1hCUtYi70ZJuRYXvZgBcsJ/819LKGXSPn2Wj7ZxjRnqZ6uYhkr2BPt+/vooYd+tO8PzWs9Tx2PSzmW2ipK1AIYVCqBmSDEqHgJsZ+SWJJjeWFGCIXmpY3Jsf4TtYVdYqiMedPk9ns1zxfb6v1aqyxknRCBQRAq8EQ6n5eblC7kWF4YCPEhx7JJA5bqaI5jg6Q0XW6OXWJoMkvtChG1h0EQeghvHuZjIGRdjuWFF0M+eC2bXtoXr/uXiKaL3f7UbVdibzcR+cQgCG3AAVPnW8MST7qFHMtKyoGQVLJBAL9l00vbYnX/WqqfzAahLliqi5a2JYaUzqFTcawJSgSDIDRR7ieyMrzcrISWY1mxdKPVtiwu4ihpKddPWue1S0zs4Bjled1Si/WAh/XtI9M4OwxNxZG+5+OsDgM5lpWUR3hPZcYYr+XSS7vidf92KceZYvZgGcsR/2YioqxxdphSmAlCMzFaPh8zQgZyLCspP3FOJSPEa7n00q5Y3b+W6iaf/IfDbJDh+trZD7HbnVzak9DtUz/2DXDT79/SylYQzcQgCM3FcULmi33hYEWO5cTSzVbbGAiJi+0KtYFjg1CXYrS3KbaV86bJJaJmGASh0rzeSHQlxZNwHSwnZBHLZThW962lACWzQYioTf0erzmJmggWBBGRC0TkDhH58siy3xSR20TkuuL1opH3zhaR3SLyTyLygpHlJxXLdovIW0aWHyEi1xTLPyQiS8XyXvHz7uL9x4T6G3Nk9WLXCgZCBnIrJ5ZuttqWSjaIV17aFKt1PuW6WUWMbJCusEtMu7y0OU2FKjfmz5nbpixvUszndV/pontO7C5A5E7ITJD3AzhpwvJ3q+oxxesyABCRxwN4OYAnFL/zXhFZFJFFAH8C4IUAHg/gFcVnAeB3i3X9EIDvAjitWH4agO8Wy99dfI5aZPVi14pcLiDmya2cpHyzZf6iriSvZZJtShqs3vSGwi4x3fLavo1L5e8gikYwCGqFeiUiWBBEVT8D4O6SHz8ZwF+qal9Vvw5gN4CnFq/dqnqLqq4B+EsAJ4uIAPhxABcXv38hgBePrOvC4v8XAzix+Dy1iCep2dawxBsX5FdOGAixL7cy2SWr+zblelkFs0GoKzweRGRdjDFBXi8i1xfdZQ4olh0K4Jsjn7m1WDZt+SMAfE9Vvz+2fMO6ivfvKT6/iYicLiK7RGTXvu+UjdfQEAdMnY+BkPwuhlK+4WIgJB62JWlgNohPuXWJ8Sh0G+lthhga2D7SVYd7nEZ1HQQ5B8APAjgGwO0A/qDj799AVXeq6vGqejwOOijmprjm8YaiS7x5ya+MpHxxk0ogxCMPbYnVup5ynawi5WwQSmeqXCKi0DoNgqjqt1V1r6ruA/A+DLq7AMBtAA4f+ehhxbJpy+8CsL+I7De2fMO6ivcfXnx+rtU1RuTrsnrhawUvKPIrIynfdKUQCMmtPHaJ+3a23J7+d5UN4nWAVIqHbRVRvjoNgojIo0Z+/L8ADGeOuRTAy4uZXY4AcCSALwD4BwBHFjPBLGEweOqlqqoAPgXgZcXvnwrgkpF1nVr8/2UA/q74fCmra8sMhtTEk8lsDITkV0ZSDoSkwGN5ZDtSH+vjALNBbEk1KNakffXYNo9q60HB6mL9stFva7YUzrrizyIGswCFeiUi5BS5HwTweQBHicitInIagN8TkRtE5HoAzwHwXwFAVb8C4K8AfBXAxwGcWWSMfB/A6wF8AsCNAP6q+CwAvBnAm0RkNwZjfpxfLD8fwCOK5W8C8NC0ulUwEFIPxwmZjTcw/i9uqkr1xiuFbBDAZ3n00I5Y3a9W6mOqN77TpJIN4kHOXWI8bnMT/V6kv5eBEUrAfvM/Uo+qvmLC4vMnLBt+/rcB/PaE5ZcBuGzC8luw3p1mdPmDAH6q0sZOsbq2jJWlPW2sKjurWMEKVmNvhklrWMIS1mJvRlS5lY89WMFygn9vH0voJVCWPZZHD+2Ix/2aiz566KEfezPcWUMPS9xv2Ur1XB7VVgAPtPg5opJizA7jCrvH1McnMtPl9rRiktzKh5Un0G1LJSOE8mGlLjIbhIZyKwtERLExCFISAyH15HajW8UalrIPhuTWfcrKzVfbUgiEeCyHHtoPj/u1SzFvflMdG4Rlzs4+8DAuSMx9Fe2aIPa4Dmk2PeRMsO4wKRoGQthFpprhCYZp0ZN5SGsPLae0+VTTaVPoGuOxHHpoPyzu11TrIYWXU5cYD+0LtagHZFK0k6YLLQ6MmzBmgtTArJB6rDyZsMjDE93QciofzAixK6dymDsr9TCnbBAOkDodu8S0g9dTjvHGnTrEIEhNDITU4/HCpCs8cedVPqzcgJF/HtqOnOo2pW+N+fyl5Vr3LUyTG1WogMaWQOul7DAI0gAHTa0n1xNiGR5uZkLLqXykGAhhNkgcHtoOi/vVSh1kNgi1LYWpctlmOBIqOMHsEAqEQZAWMBBSXW4DYlbh4WYmtJzKRooXVAyExMG2g2idxzrMLjFxeCwrQ/3e9Haf40IQTceBUVuyurbMAVNrsDhgngUcjIxlwzsOlEqTWNynVgZJXcUyVhDnOqKPHnodjoi4B8tYjvS3tiWnAVK94TUU5WzfgqDfe1jAb0ijbjETpEXsHlOP5wh8SJxCN5+ykWI2CMCMkBg8tBkW92mqdTB3Fstal6z8/Va2w6Js2p62s1KY5ZIFEVkUka+FWDeDIAEwEFIdT5DTebipCSmXspHqhVAKgRBvcm8zPOPYIGSxSwzHBcmc9YADxylOlqruBfBPIvLottfNIEggzAqpjuOETJf7TU0u5YKBEJs8lj/rbYbFfZpq/ctdyLLGWWLyVLat8H7um8l6YIRScgCAr4jIlSJy6fDVdKUcEyQwjhVSncU+4xbk3sc1l3JhZXyCtnkfIySX8tcl7tPJODYItYn1rJzs9tM2APfH3giiUn4jxEoZBOkAAyHVZXcyKomBkDzKRaqBEO+8lb/c24s6rNS9mIEQqibEAKkWj3/T9qTr9jOl9m91cRkrezsqDz2A4/36tg8LWF0M2Ruh23qlqleJyH8EcKSq/v8isgJgsel62R2mI+weU53FdGkLrKe5h5ZLuUgxNT+F1GBv5c96e2Fxf6ZY96roemyQLlgsZ1Qej1+GtsTeALJCRF4L4GIAf1osOhTA3zZdL4MgHWMgpBqOEzKZ9Rub0HIpEynejKUQCKF25VKfq7I4QGYIHCA1PNYx25qe6/u96efVPsfuAADsiL0BmRGR/UXkYhH5mojcKCL/aez9h4vIR0XkSyLyFRF59YzVnQngPwO4FwBU9SYABzfdRgZBImBWSHU8gW+W+xS6uZQJBkLs8Vb2cm4n6kqx3lXBbJBqQgyQmksQjIiS9EcAPq6qPwLgaAA3jr1/JoCvqurRAJ4N4A9EZNrFSl9VH+qDIyL7AdCmG8ggSEQMhFTj7cajKznf4ORSJlK8IWMgpFvW2wlv+7MrudwIMxvEh6btiPV6XmX7OEMM0WQi8nAAzwJwPgCo6pqqfm/sYwpgu4gIBsP03g3g+1NWeZWI/BqAZRF5HoC/BvDRptvJgVEj46Cp1QxPUJ4GJ+xCSgOAVeVtsMq6rAzY2CbOGNMt6+2Etf2ZYp2rouuZYroQsoyFGCC1TdbqVxest3lEIezDQuCHZ/ccJCK7RhbsVNWdIz8fAeA7AP5MRI4GcC2As1T1gZHP/DGASwH8G4DtAH5aVfdN+cK3ADgNwA0AfgHAZQDOa/pXMBPEAHaPqc7604QYrD/pDSmX8sCMEHtyKXu5slDnmA2Sr1yOfRlsax0YH8y07HgkHLfEmztV9fiR186x9/cDcCyAc1T1KQAewCCQMeoFAK4D8AMAjgHwxyIycegWVd2nqu9T1Z9S1ZcV/2d3mJQwEFINT4ibMRCSPgs3ZW3zHgjxxHobkUs99iLFsUGomdS7xFgVdspTolbdCuBWVb2m+PliDIIio14N4CM6sBvA1wH8yKSVicgNInL92Ot/i8i7ReQRdTeSQRBjmBVSDU+mm1m/yQkpl9mEUgyEeOatzFlvI6ztTwv1LZeMgC6yQXIeINVa3aLItlX4bNvZGoyvJktVvwXgmyJyVLHoRABfHfvYN4rlEJFDABwF4JYpq7wcwMcAvLJ4fRTALgDfAvD+utvJMUGM4lgh5XGckM2GNzm59oXNoe9zauMVcHyQbrGvfDUW6tsqlrGC7q8LUhwbhPJRta2r0paXbRfKnN8stDE52B57A/LxBgAfKGZ8uQXAq0XkDABQ1XMBvB3A+0XkBgAC4M2qeueUdT1XVUczSW4QkS+q6rEi8rN1N5BBEMMYCKnG201IF3K+0cmhPKR20cRACA1xX+ZrD5axHDjYw/LVTKxrCx636fq9JfT6fs+flBZVvQ7A8WOLzx15/98APL/k6hZF5Kmq+gUAEJEfBbBYvDdtRpm5GAQxbtg1hsGQcniC3IyBkLTLAwMhtngqc9bbBmv70kJdYzaIfSFmiWnzuFuoVxa2ISf9rUDvgfmfe0gPKFWEt2Iw5CWZopDUxlp7DYALRGQbBlkj9wJ4jYhsBfCOuitlEMQJZoWUx+4xm1m/2Qkph4stCzdnbWIgpDs5tw1kVxfZIEREZJ+q/gOAJ4nIw4uf7xl5+6/qrpdBEEeYFVKNpxuRLuR8s5NDWWAghOqy3DZYq7sW6hmzQdoRsmyFyAah+iy3cVkpkznC7BIaIyJvGvsZAO4BcG3R7aYWzg7jEGePKY8joW+0hiXzM0OEkkNZsDCLRZs8p3PmUN66Ym1fplbPrOpiphhPrM0SE+taoov2wFqbM8RpcilTxwM4A8ChxesXAJwE4H0i8qt1V8ogiFMMhJRn9WQWEwMh6UrtBo2BkG7k2iZ4FWvK3H5i81p6qqOpSWXflz3nljmXpXb+7kTbU/eSRYcBOFZVf1lVfxnAcQAOBvAsAK+qu1J2h3GM3WPK4zghm+WaHmotvT4ECyn7bfLcNcZTebPcJljbjxbqWKxuMVQOu8QQxfWwrcCeDKvgPiykFlA7GBuH6v13AIeo6h4RqX2EmQmSAGaFlJfKk4e25Pr0N4dykNgJkBkhHbHcJljbj6nVsbK6zAbpokuMtXI1C7vE0Cz9Xo3jsa397TCBGSIp+QCAa0TkbSLyNgB/D+Avitlhvlp3pQyCJGJ1bZnBkJI8XfB0IdeLmBzKQa43aUS5iNUthspZS6z7kBV1zt+5XuskYevYv5QVVX07gNMBfK94naGqv6WqD6jqK+uul0GQxDAQUs4qVrK4CS4r14uDHMpASoEQZoN0w3J7YG0/plS/qmA2CLXB8n63vG119NsIIHgJQmyJvQHUBhHZUfx7IIBbAPx58bqlWNYIgyAJYlZIeamd5JrIdeaYHMpASjdqDIR0w3Jb4Gk/doHZIHlhlxh7UjrHNhY7ADEhULOj+62gdvxF8e+1AHaNvIY/N8KBURO2urbMQVNLsDbgXmyWB0cMJYeBcy0M5NgWDpTaDcttgaX9mFLdqqKPHnodDfy5B8tYdjoILAdIpaE2zl2ri8tY2dtBXegBrRTbrQAeaGE91r7LsH1YSOJhgar+hIgIgB9T1W+0vX5mgiSOWSHlsHvMRrk+2Um9DKT0tIoZIWRJ7LrFbJDmPNXLlI533f2e6rggsdsSF2Jnm1BnVFUBfCzEuhkEyQQDIeV4uggKzcPFQgipl4GULrAYCAnPcjvgZR92JcaNcWpjg4TCAVIpWV7GCSHPvigiP9r2ShkEyQgDIeXwwnqd5RugkFIvAwyEUBWW2wFLdTWlepUrS+WpKxwXZLocywORQU8D8HkRuVlErheRG0Tk+qYr5ZggmRkGQjhWyGw5jBFR1vDixurYAKFYGnMghJTGMfA6RoinMmZ5fBBLYterVSxjpeOxMzg2SBwxjjVNF7vuD/V7S+j1nbTV88Yd2QLgwY62hSx7QYiVMhMkU8wKKYdPAdal+qRnltSPf0pPrr1mhKRexrrAfRhfl91iQgtVntglZrouxwWhCbbF3gBqk0IemvExxCuC/66q/zr6AvDfm66UQZCMcdDUcniSXcdASHoYCInPSxmzXP8t7cPYdSqlQTMn8Tw2iFU5dYmJvZ1ez1PBcWwRmu4Joz+IyCKA45qudG4QRETeICIHNP0isouBkPksXWDHFvsCIobUj3/sm7Y2eb3A9FLGcqz/VE5K2SChtJ0NknrAy4IYbfO8c/LqYr3j3rcQaLCwDeSCiJwtIvcBeLKI3Fu87gNwB4BLmq6/TCbIIQD+QUT+SkROKubrpcQwK2Q+TqO7LmJKXDSpH/uUAiFeeSljVuu+pf0Xuz6lfnMcOhvEUlnKBfc5EY1S1Xeo6nYAv6+qO4rXdlV9hKqe3XT9c4MgqvrrAI4EcD6AVwG4SUR+R0R+sOmXkz0MhMzHE/U6qzdDoaR+7GPfuLXFazYINWepjsauT6lPmUvt8tolhnW+Y8zkoI61EfCYpNTsMKqqIvItAN8C8H0ABwC4WESuUNVfDbFhFA9nkJnP06wOoeU2a0TqMwdZGeG+Kc4YE1Zu9Z7sCT1TTKi6uIYellqcTYezxFTH9qukebO3xLYVwAOxN8KefVgwFRy0qsyYIGeJyLUAfg/A3wN4kqr+IgYDkrw08PZRRMwKmY3dY9bllhEC2Hr61LZUnmZ5zQjxUras1ntL+y92XWI2CBER0WZlxgQ5EMBLVPUFqvrXqvrvAKCq+wD8RNCto+g4Vsh8li64Y7J6QxRSysc+9s1bWxgICctqvbe0/1KpSxZ5HRvE6gCpsetN7O+fpu3tCn1e6vcit8tbGv4+u9zQGBE5WkReX7yObmOdU4MgInKgiBwI4I8A3Df8eWQ5VPXGGb9/gYjcISJfHln2+yLyNRG5XkT+RkT2L5Y/RkT2iMh1xevckd85TkRuEJHdIvKe4cCsxXZcISI3Ff8eUCyX4nO7i+85tulOImaFzMOskAEOmJqWVG7eGAgJy2qd97L/QmM2CHUp93FB2pLK+ZeoKRE5C8AHABxcvP6niLyh6XpnZYJcC2BX8bp27LWrxLrfD+CksWVXAHiiqj4ZwD8DGB3o5GZVPaZ4nTGy/BwAr8VgcNYjR9b5FgBXquqRAK4sfgaAF4589vTi96kFDITMl+KJuA6rN0WhpHzcU7kQYyCEYkqlHlnkNRvEqlz+Xu/XKXWnyQ3CQuYG464pOw3A01T1rar6VgAnYBAbaGTqwKiqekSTFavqZ0TkMWPLPjny49UAXjZrHSLyKAA7VPXq4ueLALwYwOUATgbw7OKjFwL4NIA3F8svUlUFcLWI7C8ij1LV25v8PTTAQVPn8zKwYWi5DTyW8nHnYKlxeShbVuu7pX0Xsx7FGDyzjx56pkdVjIsDpKbJ+vmyvxXoTRpMdBuA+wN9KQcw7VSCA6MKgL0jP+8tljVSZkwQiMhLRORdIvIHIvLipl9a+HkMghlDR4jIP4rIVSLyzGLZoQBuHfnMrcUyADhkJLDxLQCHjPzON6f8DrWEWSGzsXvMgPcnLVWlfMxTeZLtNSPEA6v1PeV6WUWMbjFdCZ0NQtU0aQtYX4lozJ8BuEZEflNEfhODRIoLmq60zOww7wVwBoAbAHwZwBki8idNvlRE/h8Mptr9QLHodgCPVtWnAHgTgL8QkR1l11dkfWiN7ThdRHaJyK59d95V9dezx0FT5+PJPL9xQlI+5gyExOOlXOVU1+tIpQ6VlcrYIF4GSG2Ll/ZmVOht9jY4Kg0sj1Sx7fE2gxpQ1XcBeDWAu4vXq1X13U3XO7U7zIgfB/C4ItAAEbkQwFfqfqGIvAqDWWVOHK5TVfsoZqJW1WtF5GYAPwzgNgCHjfz6YcUyAPj2sJtL0W3mjmL5bQAOn/I7G6jqTgA7AWDhKU/RtQd7WNrC1M2qVteW2T1mBkvp2DFZTZcPYXixlOJxt57qW5bHrjFsS+qztO9y6xbTlT1YxnKif1tZKR9fIsqTiPy5qv4cgC9OWFZbme4wuwE8euTnw4tllYnISQB+FcBPqurqyPJHishi8f/HYjCo6S1Fd5d7ReSEYlaYUwBcUvzapQBOLf5/6tjyU4pZYk4AcE+V8UDWHrQZlbeOWSGzsXvMQG5PiVM95qk8zfb4JM5DmbJazz3suxQxGyRPHrrEWG2rhpqca6NPk0vUnieM/lDEDI5rutIyQZDtAG4UkU+LyKcBfBXADhG5VEQunfZLIvJBAJ8HcJSI3CoipwH442J9V4xNhfssANeLyHUALgZwhqreXbz3OgDnYRB4uRnr44i8E8DzROQmAM8tfgaAywDcUnz+fcXvV7L2YI/BkJoYCJmNF1H2LzraluoxZyAkHg9lymo9t7LvYtaflKfM9Tg2SNtdYto6vlbqShVWtrmr+t3JDDGTiqeF2WBoKoU81BU9xKsrInK2iNwH4Mkicm/xug+D3h+XzPn1ucp0h3lrnRWr6ismLD5/ymc/DODDU97bBeCJE5bfBeDECcsVwJmVNnaKYSCEXWSq4Qwys1lKy44lp64xQLrHnF1j4vFQpnKr556w20Q9HuodhcPjH0APKDVJEmeYyY6qvgPAO0TkHap6dtvrn5sJoqpXAfgnAA8HsAPAP6nqVcNX2xtkEbNC6mFWyHTsHsMBU1PBjBCaxWIdt1IXU6k7ZTEbZDqrA6Q2ZbH+E5EvIQIgQLnZYV4D4AsAXgLgZQCuFpGfD7ExlrGLTD0cK2Q2KxfjMeV0kZTq8c7tZs6KVMtTF6zsu9y6xaTAStmZJYUuMTmMCxIr+N6P3Z0l9vcTodyYIL8C4Cmq+ipVPRWDgUjeHHaz7GIgpB4GQqbzcEEVGgMh/qUQCPGYDeKhPOVUv2k2ZoNQaB7aRLO2xd4Aou6UCYLcBeC+kZ/vK5Zli1kh9TArZDp2j8nrRinVY81ASBweypPF+m1lvzEbxJ8QZSfVLjG5aqteuz2vbqnxO2UyRJhFkiURWRSRHxCRRw9fTddZZmDU3QCuEZFLACiAkzGYyeVNAKCq72q6EV5x4NR6VteWOWjqFLkPujW8UcphMMXhRXRqxzuFwVI5UGoYFgdKtbLfYtabrgdJ7aOHXqmREJvZg2UsZzz4a1vHtWkdaVLvrdTPURa3aZp+bwm9fkdtbqiBS7cAeDDAehO2DwtmgvxtEJE3AHgbgG8D2FcsVgBPbrLeMkGQm4vX0HBKmu1Nvjglaw/2GAipiDPITJfqzXEVFm+WQvF0QVUWAyFxpFiWusD9RlasoYelDgJEtJHna47VxWWs7OW1NCXtLABHFTPDtmZuEERV/982vzBVzAqph1kh0+V+Ye75oqSqFI81AyFxWC9LOdXrqpgN0r6Q2SDW6xqQ71TIHo7NkMfzjAnMEMnJNwHc0/ZK5wZBRORTGKScbKCqP972xqSAwZDqmBUynacTeQi5dY9J7VgzEBKH9bJkMRBiZZ+lUGeoGYvZIDG7xJABPaBxkQzVXYZycAuAT4vIxzBSEpsOyVGmO8x/G/n/FgAvBfD9Jl+aA3aRqY5ZIZOxe0w+F1BWbsTaNBzUzfONncdAiHUW63SK9a8KZoNUl3uZ6YLnfcygZkcYYEndN4rXUvFqRZnuMNeOLfp7EflCWxuQMmaFVMeskOk8Xwi0weJNUwipHmfvF4PeAiEeylEudboqdouhNuXaJaaqKu2Rh/Z1nv5WoNckcMDAg1mDgVHTmflrODSHiGwrfr6/jfXOnSJXRA4ceR0kIi8A8PA2vjwXnFK3Ok6lO1lKoz3XYXGazRBSnTLZ7VR/BW/T56ZYhkKzss+81xVr9gS8Ichlutymf2fX528rdbkNnbYH27r7qpk4Fa5rIrK/iFwsIl8TkRtF5D+NvS8i8h4R2S0i14vIsTPW9UQR+UcAXwHwFRG5VkSe0HQby3SHuRaDMUEEg24wXwdwWtMvzhG7yFTDrJDJcu8ew3FCfGNGSLeslyGL2SDW91lozAYha3Kvk9TcMoB7Y29EXv4IwMdV9WUisgRsiuS9EMCRxetpAM4p/p1kJ4A3qeqnAEBEng3gfQCe3mQD52aCqOoRqvrY4t8jVfX5qvrZJl+aM2aFVLe6tszMkAlSespRR05ZIanx/pSbGSHtsliXLewz7/XEmpyzQVJKjU9R03PK6uL049vv2WtfKW0i8nAAzwJwPgCo6pqqfm/sYycDuEgHrgawv4g8asoqtw4DIMX6Po0WcoWmBkFE5EdF5D+M/HyKiFxSpK4c2PSLc8dgSHUMhGyWareJsizePIWQ4jH2foPHQEi7cqnLVcWqJ13fNPcNdv+gzbx1iamqyvaV3Rfez3VEExwkIrtGXqePvX8EgO8A+DMR+UcROU9ExoMWh2Iw9e3QrcWySW4Rkd8QkccUr1/HYMaYRmZlgvwpMMEmOIoAACAASURBVMhRFZFnAXgngIswmKd3Z9MvpgEGQqphVshk1m9wQrJ+UdWWFI+x94tDBkLaZa0uW99foaWYPcBsEL/q7N/c6zDlaR8WsIZesBeAO1X1+JHXeFxgPwDHAjhHVZ+CwRC6b2nwJ/08gEcC+EjxemSxrJFZQZBFVb27+P9PA9ipqh9W1d8A8ENNv5jWMSukOgZCNsv5ZL+GJXM3UCGkeIwZCOlWimUoJAv7y3sdKYvZIETTuWgHxp/1byn5e6z6qbkVwK2qek3x88UYBEVG3Qbg8JGfDyuWbaKq31XVN6rqscXrLFX9btONnBkEEZHhwKknAvi7kffKDKhKFTEYUg2zQjZj9xhfN6R1pHiMXVzczeAtEGKZxTpsob7l0i2mCyGzQXKQepcYmqLt2xPO/pIsVf0WgG+KyFHFohMBfHXsY5cCOKWYJeYEAPeo6u2jHxCRPyz+/aiIXDr+arqds4IZHwRwlYjcCWAPgP9dbMgPYdAlhgIZBkI4k0w5q2vLnEFmTM4jqVucbSKE1I4xZ43pjvWyk0sd9qLL2WK8zxQTom6toYellvZJ1zP/WFD1mMRqf2KcQ/pbgd4DnX5ldPFD2tl4A4APFDPD3ALg1SJyBgCo6rkALgPwIgC7AawCePWEdfx58e//CLGBU4MgqvrbInIlgEcB+KSqavHWAgZ/GAXGKXXL43S6m+U8lW4u0+hav5mtioGQ7lgvO9YCIRb2l/f6UVYXgZA9WMZyZsGANsWqDxbq4aiy29NF3V1dXMbKXpZpskFVrwNw/Njic0feVwBnzlnHtcV/j1HVPxp9T0TOAnBVk22c2a2lmLJmfNk/N/lCqoZZIdUwK2QzaxcNXbJ2IxVCasfX+40eAyHtsVZ/LeyvWPUjxwyCupgNMp+1up26fm8JvX6F/b0NwP0lPrcVgyEvyZR9WDDRjbNFpwL4o7Flr5qwrBKO7eEEgyHlMStks9yzQlK/2LJwc9YmBkK6Y73sWKu/1vdXKpgNQpSgMkETBlaoICKvAPAzAI4YGwNkO4C7J/9WeQyCOMMuMuUxK2SzXC/grd1IhZDasWUgpDuplZ3UMRvEvhzqlKcuMV7GBZnH+3mRqKLPAbgdwEEA/mBk+X0Arm+68lmzwzxERP6jiDy3+P+yiGxv+sVUH2eRKY8zyGyWWIpcaTlMo5vazDGcNaY7lsuNtXprYV/lMFtMF1PmepopZq3F/WFh1h9r9bouC+1B1jjLTLJU9V9V9dMAXgngGlW9SlWvAnAjBlPqNjI3CCIir8Vgft8/LRYdBuBvm34xNcdgSHkMhmyU2s1yFalceM2S0rHdgxXXwRAGQtphrd5a3ldkA8sIjSpzHvN0vnCBAZJU/BWAfSM/7wXw101XWqY7zJkAngrgGgBQ1ZtE5OCmX0ztYReZ8thFZqMcUnYnsZrq2qbUjq3nNGB2jWmHtXobe1/l0C2GY4NsZG2A1Nh1gDaqM0NMstPkbgHwYOyNiEMhrrLcSthPVR86+avqWjH1biNlusP0R79YRPYDoDM+TxEwK6Q8ZoVslGtWSC7dY1LCjJBuWC43qdfZqjzXibK66BYTiuW6ZEHd+lxnv1b9HbY1hmwp/i2b2cEMkNR8R0R+cviDiJwM4M6mKy0TBLlKRH4NwLKIPA+D9JOPNv1iCoPBkPIYCNko14u11C90Ujuunm/6PAVCqBwL9StGnbAwpkSbPD01bXNsEGqHhXZgnn6vhfNPmaIXOwAR+/sphDMA/JqIfENEvgngzQB+oelKywRB3gLgOwBuKL7wMgC/3vSLKSwGQ8phVshGOWeFpCy148pASHiWy4u1+mp5X4WU2iCpoVguH20cQ8t/nzVtnLs6O/9ta2k9W+Z/pDVTmontXW4DtU5Vb1bVEwA8HsDjVPXpqrq76XrLjAnyYgAXqer7mn4ZdY/jhZTDsUI2yrGf7/DGytKYA21L6bhyjJDwLJcXjg+ykef6YEWuY4PEVrcudzFVbgxezg9RbQWQ4jgmtIGI/Kyq/k8RedPYcgCAqr6ryfrLBEH+C4B3i8hnAHwIwMdV9ftNvpS6NcwIYTBktmFGCIMhAx4uFkKwdnPVtpSOq+cbPy8XupbLS+p1taoY9SG1QVJDsVyPujyG3rCNKYEBCXP2YcF19tyIYeem7SFWPjcIoqqvFpGHAXghgFcA+BMRuUJVXxNigygcBkPKYTBk3TDN1erFWyipX/hYviCvioGQ8CyXF0t11fJ+Cimlm2hP2SCW5Fr2iSgcVf3T4r/vVdXvtL3+MmOCQFX/HcDlAP4SwLUYdJEhpzheSDkcK2Rdjn1+U589JqVjyjFCwrNcXizV09j7yXNdKMPz0822y0ZKA6R2OUtMKFa2ZXXR0bXrvEFMOcgpDfy9iHxSRE4TkQPaWuncIIiIvFBE3g/gJgAvBXAegP/Q1gZQPAyEzMeBU9elNrhmWZZusNqW0jH1fPPHQEhaYu+n1GeLCR0I8TRTTFtyGiA19nZaPFf1LQQbeEtCU6jqD2MwKcsTAFwrIv9LRH626XrLZIKcAuBvARylqq9S1cs4Jkg6mBVSDgMh62JfQMSQciAESOeYWry4LIuBkGZSr6MepDZtbgjMBvEnRtsy73xQ91zXyjS5TVkIuJA7qvoFVX0TgKcCuBvAhU3XOTcIoqqvUNW/VVUOJJEwBkPmY1bIupQyCMpK/SYrleO5BytugyEMhDRjqY7G3kde60BZzAZpX+wglqX6S0R2iMgOETlVRC4H8DkAt2MQDGlk6sCoIvJZVX2GiNwHQEffAqCquqPpl5M9HDx1Pg6cui63wdBSn0Y3pePpdcBUDpbaDAdKXZf6bDE0YGm63BhlPnY9G2VpW4LpAUaKG02xDwvRg5ot+xIGvVJ+S1U/39ZKpwZBVPUZxb9BpqUh29Ye7DEQMsfq2jIDIchzBhlLN1ptS+kijoGQsKyWFUv10+o+SkHoKXNDzRTDMhEfj0FJ2wDcH3sjZtgC4MHYG0EdeKyq6vyPVVNmYNQ/L7OM0sMuMvOxi8y62OnfXUs5dTel7k5euwWwa0wzKdfPKlIfJDW03LrFxD52Vutt29sVul5GnyGm6bgfHDeENjpSRHYWM8T83fDVdKVTM0FGPGH0BxHZD8BxTb+Y/GAXmfmYFTKQW1YIu8f4wIyQPFnJCIldj1LuFhM6GySUtssEu8Skca4axfaf6CF/DeBcDGao3dvWSqdmgojI2cV4IE8WkXuL130Avg3gkrY2gPxgZshszApZZ/XpcChWn161IZVjyYyQcFIpIyHF3kdey38ZHCS1XbGzQboSqk52VdfbrtONpsm1kLlhYRsolO+r6jnFDDHXDl9NVzprTJB3AHiHiLxDVc9u+kWUDo4XMhsHTh1I8cnMLClnhaRyLJkREo7VMmIlGwSwu49C4SCps6WcDdKEpTqbon5vCb1+x/uXY3d0ah8WUgt8f1REXgfgbzAyLK+q3t1kpXPHBAHwBRF5+PAHEdlfRF7c5EvJP2aFzMeskLTGligr1ayQVI6l1wsDZoTUZ6lOxtxHKY8PwmwQW2KU89DfaakdofIexgyRFJwK4FcwmB732uK1q+lKywRB3qaq9wx/UNXvAXhb0y+2RveV2RU0jsGQ2dhFZsDqzVEoKV8spXAsGQgJx2r5SLlOVuG17Keq7fqy1lIwKJcuMTGxLnZvR+wNoFpU9YgJr8c2XW+ZO/9JnykzoKo7e+5fwZ772SjVwWDIbAyGpJNJUNYalpK98UrhOO7BisuLUAZC6rNSH63un1CYDZKnJuW8q7pqvS42ae+jzxBD1BIReZiIvFFELi5erxeRhzVdb5kgyC4ReZeI/GDxehcGaSjJYjCkPgZDZss9EALYv+hom5Ubr7alchwZCAnDavmwUh/ZLSaM0IGQEJgN0h4r7Y7XwVEn2jZhmb9qRr6dg8HMtO8tXscVyxopk9HxBgC/AeBDABTAFQDObPrFHgwDIcvb8hnIrC0cPHU6Dpya51S6KQ70lspAjx4HTOVgqf7F3D8ey7wFe7CMZQ72mq1Uz+VRbQXwQInPcXDV0vZhwUxAsCU/qqpHj/z8dyLypaYrnZsJoqoPqOpbAPyYqv6oqv6aqpYprhCRC0TkDhH58siyA0XkChG5qfj3gGK5iMh7RGS3iFwvIseO/M6pxedvEpFTR5YfJyI3FL/zHhGRWd9RFzND6mFWyGzMCrHz1KYLqXaPSaWbEzNCwrBYNlKsh3V0XeaZDTKd1WyQptglZrZY551+L3IbyMFKqZq9IvKDwx9E5LEA9jZd6dwgiIg8XUS+CuDG4uejReS9Jdf/fgAnjS17C4ArVfVIAFcWPwPACwEcWbxOR5HmIiIHYjAQ69MAPBXA20aCGucAeO3I75005zsaYTCkHgZDpuNYIencRJeV6g1YCseQgZAwLJYNK/XQ4r4JyWMXi3E5jQ3i8XjlVqfa1Gdwgmz6FQCfEpFPi8hVAP4OwC83XWmZMUHeDeAFAO4CAFX9EoBnlVm5qn4GwPgcvicDuLD4/4UAXjyy/CIduBrA/iLyqOK7r1DVu1X1uxh0xzmpeG+Hql6tqgrgorF1TfqOVjAYUg+DIdMxGJLXhYuVG7C2pXAMGQgJw2LZsFIPc3wSHRqzQSi27I9nnYBKmWrLQE12VPVKDJId3ojBMB1Hqeqnmq631LywqvrNsUVNUlAOUdXbi/9/C8Ahxf8PBTD6PbcWy2Ytv3XC8lnf0SoGQ+phMGQ6BkLyyQpJuXuMdx5vDBkIqcdKHcwpEJJCtxgP2SBWBkj10CWmiq63yc0MMaGCEwx6ZE9EzgSwrKrXq+r1AFZE5HVN11smCPJNEXk6AC2mqPlvKLrGNFVkcGgb66rzHSJyuojsEpFduOs7tb+DwZB6GAiZjFkhNm+WQrF4kddUCsEsj1PoMhBSj5U6aHHfhOKxm8W4EIGQnMqAJZ73u7fzFIWnkIcetIV4RfBaVf3eQ3/foGfIa5uutEwQ5AwMZoM5FMBtAI5Bs9lhvl10ZUHx7x3F8tsAHD7yucOKZbOWHzZh+azv2EBVd6rq8ap6PB7xyAZ/0gCDIdUxK2S63IMhKdxIl8WsELu8XWAyEFJPivWvCm/lvCyP3WLalMIAqR6+r4lU694mW1peHzNEcrI4nPwEAERkEWh+0p4aBBGR3y3++xxVfaWqHqKqB6vqz6rqXQ2+81IAwxleTgVwycjyU4pZYk4AcE/RpeUTAJ4vIgcUA6I+H8AnivfuFZETih1zyti6Jn1HJxgMqY7BkOlyDoQAvi5mmkrxRiyF4+ftIpWBkHos1D92i/Ell2yQmMfKQr2sy+KxrGVb7A2YgwGR1H0cwIdE5EQRORHAB4tljczKBHlREVw4u+7KReSDAD4P4CgRuVVETgPwTgDPE5GbADy3+BkALgNwC4DdAN4H4HUAoKp3A3g7gH8oXr9VLEPxmfOK37kZwOXF8mnf0SkGQ6pjMGQyZoXklRWSmhSOHwMh7fNeJkJhIKRdzAbJ++8vq0q9S+E83XiaXBYr6s6bMZgR5heL15UAfrXpSveb8d7HAXwXwDYRuReAYDC2hmAw1MaOeStX1VdMeevECZ9VTOlmo6oXALhgwvJdAJ44Yfldk74jlmEgZHnbauQt8WMYCFna0o+8JbYMAyErS3sib0kcw4uUFaRdl4YXWEtYi7wl7VrFiutjtwcrWHa0/X0soWe8DFkrE2tYMlHvrO0X7/rooYcw1xN7sIxltHtOtnj8V7GMlQZ/Z9d/k8V9WFeXbXl/K9B7oJOvmm0rAAvbQdGp6j4A5xav1swKgvy6qv6KiFyiqie3+aW5YjCkOgZDJltdW842EAKkdXEzi5UbsjZ5P3YMhLTPWpmwUu9i7Zeuy3jTm2uabw09LAUKAnXBSp0MpWmdm/X7q4vLWNnL+rUDyKaV2YcFZlqWMKs7zOeLf+/tYkNywm4y1bGLzGbsIuO/i0UZKaTdjvN+3LzNHMOuMdWlWO+qYLeYajg2SNnft/c3hZbj30zkwawgyJKI/AyAp4vIS8ZfXW1gyhgMqYbjhUzGYEj6dSjF2WNSCGJ5C4R4CIZYYqHO5TQ+CIWV49ggVetPbuOCEFkmIn9e/HtWiPXPCoKcAeCZAPYH8F/GXj8RYmNyxWBINQyGTJZ7IMT7DXUZKV50eT9u3m4ULQdCLJYFC3XO4n4Jgdkgm+Vy7MuwUBdjstx2P2R8lpays7Zwdhea7DgR+QEAP1/MEnvg6KvpyqeOCaKqnwXwWRHZparnN/0imo9jhlTD8UI248CptsYWCCHFQVO9HzeOE9Iei2XBwngEHB+kPd4GSbXG2wCp1JJtAO5vcX0c+JTmOxeDmWAeC+BaDCZnGdJieW1TM0FE5FcBQFXPF5GfGnvvd5p8Kc3GzJBqmBmyWc5dZJgV4pP3Y8aMkPZYLAsW6lus/eKtbKemzePuvUtMnXpooUtMmXXGqGeNp8l1aHvsDeiAQh7qAhvi1dnfofoeVX0cgAtU9bGqesTIq1EABJjdHeblI/8/e+y9k5p+Mc3HYEg1DIZslmsgBLB5I9W21MYK8R7A8nazyEBINSnVtaq6LNvsFmNfF8eIqplVR1cXqx2vftnuKbzkpilE5F9E5AYRuU5Edk14/5Uicn3xmc+JyNHT1qWqvygiR4vI64vXk9vYxllBEJny/0k/U0AMhlTDYMhGzApJv+6kdnPm+Zhx5pj2eC4HoeSyT7wHQtqWWjZILuWYKHPPUdVjVPX4Ce99HcCPqeqTALwdwM5pKxGRNwL4AICDi9cHROQNTTduVhBEp/x/0s/UAQZDqmEgZKPcgyGpYyDEFgZC2mGtHFioZ+wWYx+zQcKx1iWmS5bb6lK2lPgML92zoKqfU9XvFj9eDeCwGR9/DYCnqepbVfWtAE4A8Nqm2zArCHK0iNwrIvcBeHLx/+HPT2r6xVQfgyHlMStks1yDITlkhbB7jC2ebhotX1xbKwMW6lgOgRBmg2zEbBCbvI8L4l6ZwArFoAA+KSLXisjpcz57GoDLZ7wvAPaO/LwXLfRKmTU7zGLTlVNYnE2mPM4ks9nq2nKWs8gML0RSHp3ewmwWbfI8m4CnmWM4a0x5FuqYtX0SQhezxYQSYqaYHI45UWu2IMsZaPZhIXRA7aCxcT52qup4d5ZnqOptInIwgCtE5Guq+pnxFYnIczAIgjxjxvf9GYBrRORvip9fDKDxzLWzMkHICWaGlMfMkI1yzQoB0nkKNU2KWSFeeXq6x4yQ8izUrxj7xFN5LiPXQVLbyAZJuUuMR3XqposZYoYDtVbJ+ig7uCvVcaeqHj/y2jSeh6reVvx7B4C/AfDU8c8UA5yeB+BkVb1r2pep6rsAvBrA3cXr1ar6h03/CAZBEjIMhjAgMh+DIRvlGgzx3t2iDAs3am3xfLw83TgyEFJeSvWrCnaLicdaHWjC8t9iedvqqDpDzETbSnwmdvChZ2AbMiciW0Vk+/D/AJ4P4Mtjn3k0gI8A+DlV/ed561TVLxZT5r5HVf+xje1kECRRDIaUw2DIRjkGQoD0LnbGMSvEBk8zxzAQUl7susXxQWxjNkj62hwXZJ6u2ubS0+TO02VAYsp3LfMyv2uHAPisiHwJwBcAfExVPy4iZ4jIGcVn3grgEQDeO20a3dCmjglCaeC4IeVwzJB1w0BIbuOFcKwQXzz3jfcyTgjHCCkvdt2ytj886qOHHnxcA6R0vOv+LXXqnIf95uX8ENVWZDnWhxeqeguAoycsP3fk/6/BYNaXaJgJkglmhpTDzJB1OXeRSVnsp9Zt8nysPGWEWM0KsXb8Y9et1McH8dwthtkgPllrY0ziJTMFJiKHiMixxeuQttbLTJDMMDOkHGaGrMsxMyT1rJDhzVoKWSGej5WnJ35Ws0KsPdnNMSOky3LsebaYtlkr+7mLXfeHPJ1X5mZ0MOOjln1YSCKAJyLHADgXwMMB3FYsPkxEvgfgdar6xSbrZyZIppgZUg6zQtblmhWSwolkmthPrtvk9Th5yQgB7I4T4vXYh5J6RkhozAbpXt0y63GWmNjfP4mJGWI4mClt9n4AZ6nq41T1ucXrRwD8EgbT5jbCIEjmGAyZj11k1rGLTHpSGjTV63HigKnNWTr2qdSnqroqw567XrQdCLFU7j0fl1ksBhXrtsOtzBDTVJVpbil3W1X1mvGFqno1WgibMQhCABgMKYPBkHU5BkOYFeKD5+PEQEgzlo577PpkaV+EEPqG29OUuW3JKRuEiFy4XEQ+JiI/LSJPL14/LSIfA/DxpitnEIQ2YDBkPgZD1uUaDEkVs0LiYyCkGUvHPXZdsvgEu01eAyHMBokv1D6LXefbNnGa3G2db8Z07EKTNFV9I4A/BvAcAGcXr+cA+BNVfX3T9XNgVJqIA6jOx8FT162uLXPg1IRYGeCtKa8DB3oZ2I6Dpc4Xuy6lPlAqtWsNPSw5mSbYs9D10n0d7AEshvUpJJmAnKpeDuDyEOtmJgjNNMwMYXbIdMwMGcg1K8TSU7g2pZIV4vUYeRknhBkh88WuRylnhDAbZMBSeW9yTKx2iUm5DgXBDA0KTER2Nl0HgyBUGoMhszEYMpBrMCRVsW/g2uL1GHm4EGYgZL7Y9cjSvmib10CIVbHHBumK9y4xbbe7jWaImVdkugiKMPCSHBE5cMrrEQBe1HT97A5DlbGrzGzsJjMwDITk0k0m5S4yw4s6711kLHWTqMJDavPwgtxa9xhLxzx215iueSi3Me3BMpbR3vnRUllfxTJWav5tlv6OFK0uLmNlbx7XZeTedwD8KwAZWabFzwc3XTkzQag2ZobMxsyQgdwyQ1J+4hr7aXYbPHeP8cBiVoil4x2zDqWc0u81G6TtbjFt8ZgN4q1LjKV2KWkjGSI2axvNcAuAZ6vqESOvx6rqEQC+3XTlzAQZ2ivA/T1gW95P7+tgZshszAwZyGnwVGaF2OfxaaOXJ+sWB0y1dLxjZoSkPFBqk+yDMvrooWd8tEZL5dwD7i9K0T4spBJk+0MABwD4xoT3fq/pypkJMu7+3vqLKmFmyGzMDMkzKySRE9EmzAqJgwOm1mfpWOeWEULTWR0ktWk2SIoDpJbV1nbMa+tntbNtnSfMT5NLyVLVP1HVL0157/9run5mgswyDIQwO6QSZobMxsyQPMcLSfFpE7NC4vGQFWI1IwSwkaWVU0YIs0EoBR7PFeZtBfBAi5+j5IjISyYsvgfADap6R931MhOkDGaG1MLpdWdjZkhemSEesw7KsvL0rQmPx4YZIfVZOd45ZYRwfJDpmA0y6Xe7Ki/x2oJY3726GPm6a0vcryd3TgNwHoBXFq/3AXgzgL8XkZ+ru1IGQapgV5naGAyZjsEQBkNSsIYl98EQj8eGgZD6rBxrBkLaFzoQEoLVQVK98X4eiqnRNLlt4DS3NNl+AB6nqi9V1ZcCeDwGs8Q8DYNgSO2VUh3sKlMLu8pMx24y+Q2emmJabQrTgHo7NsMbS8vdYyx2jQHsHOsU6k1ZHrpyzeOhW0xbZXsNPSw1+FtTmy637Da1Vafd1JcesKGYhOq+sgXAgwHWm5B9upDag8XDVXV0Npg7imV3i8i/110pM0GaYnZILcwMmS73zBBmhfiXSlaIN9azQvpYMpkV4vFYtynVv5/ZIFSW5zrQxeCoUTE7hIBPi8j/EpFTReRUAJcWy7YC+F7dlTII0iYGQypjMGQ6BkMYDPEuhUCIt+Pi4aKXgZDJ2C2mfSEDISHGBmmbhXINdB+Q8nTusXKMgms7mPF/2nvzcNuustzz/dLsfc7ZJ3CiCTwxAQNWwELAAKG5hVo0RQiIBIs8ELzSSYkl4HMtSgQuliKoJZeywcIrlasIlA1wES4pGmPoxUtCGkIauMAhoCREuiSQ02Qfcs5Xf8y59p57rdnPMcf4xhjv73nWc/ZZe665Zr/X/K33+wblSE68GMBfAji7fLwVwItV9aCqPnbsTClB5oAyZDCUIc1QhuQlQ1KDqRD/UISMw8J+pghxT2wixGIaZGqD1ClYOC/HEvvfvgXmh8llo9WkUVUF8EkAHwHwYQCfKJ+bBCXInLBUZjAcUaYZypA8ZEiM6YM+xP5hMLb9chh7zMsQipB6KEKISxGSwkgxYxh6Hg3ZTimcJ8FHiCGkJyLyDACfBnABgGcAuFxELpg6XzZG9QUbqQ6GTVTryb2Bai7NUxcfsqw1hZvC4kNpzA0gLTbqa8N6Uz2LDVMt7OOQjVJ9r7+PY3RKc84uYmiSGjsWzslc2Fxfw/qmgWvycqPViZy0C/heJg1Vjx07LrUvTV8F4OGq+k0AEJFTAXwIwLumzJRJEN8wHTIYJkPqyTkZkksqBLDxzbRrUkiFxIT1b9uZCKknp0SID3Iui7GSBsmRPufx1P2TfHNUkjvHLQRIyXfgwGFQgoSEMmQQlCH1UIakL0NiK8XoQ+y9QmLbJ9bLYyyOHGNh/+YiQiwfm6lg4XhmSQwhZAR/LyKXiMjzROR5AN4P4ANTZ0oJYgGmQwbBviH1UIZQhsRIzCIEiO+DsPWbTYqQVWI/R/ri49jMOQ3iilBpEAvnYkisX7sBYOXQ6DuCC0d6IS2o6ssAXATgweXjIlV9+dT5UoJYgzJkEJQhq1CG2PvQ6JrUPgwyFeIX6x+mKUJWCXV+pNAAcpmcRYiFY9l3GiQWQuybIc1Ra0eImQJHdCEDUNW/U9WXlo/3uJgnG6NahY1UB8Emqqvk3EB1IUJSbqCaauNUNk31AxumDsPCvg11frBRKlnmCNaxFqAZ7Jhjceh5M+Q9+k7r49x1ec3s3Rx1L4ADTt7SG3cLvQAe0GPHJfEFsYjcAaBuKFxBMXLupN3JJIh1WCozCCZDVmEyJO1vnWJLIXSRQiokFmLoE2IJC/s2l0RIzDAN0mcZ0v67bA3L13lCmlDVk1T1bjWPk6YKEIASJC4oQ3rDviGr5C5DUsfCokL14wAAIABJREFUB1uXxC5CYtoflj8gU4SskoMIYVnMKtb6g8TUG2TOBqk+sXyt7kWfkhr2ByGeoASJEaZDBkEZspNcZQhTIfHBVIg/LH+4tjZyjIX9ShHihthEiCssHMOppEH6bksfQ+VmCaUJGQklSOxQhvSGMmQnlCHpQhlih5j2Bctj+mNhv1KEuCGmm3FrZTGh0iCknjHXyCHNUaNiAxQkpBU2Rk2FqghhM9VW2ER1J7k2UGXz1PiIuXGqhcaafbHcNJUNU3eSQ7NUy8djF5tYx3qABqKxMLZBrbUGqTHg4jza3ADWDzpaoCFsADhY+beLdSDr0+6o8AvyHnhPgojI/UXkmsrjeyLyqyLyahG5ufL8kyuveaWI7BeRL4jIEyvPn1c+t19EXlF5/j4icnn5/DtExM7XRz5gOqQX7BuyEyZD0iX0N9YuiT0VEgtMhPQn9H5lImQ6MZXFMA1ij5TOhQWb6yOvK8uHg880RkP640QmQkgN3iWIqn5BVc9W1bMBPAzAIQCL8X7/aPE7Vf0AAIjIAwBcCODHAJwH4D+KyPEicjyAPwXwJAAPAPCscloAeF05r/8OwG0AXuBr/UzB3iG9oQzZhjIkTSzE910SswiJZT9YLo+hCNlJDiJkbnItiwnN2O3uo0Gqa9gXxBG7Qi8ASYHQPUEeD+DLqvrPLdOcD+Dtqrqpql8BsB/AI8rHflW9UVWPAHg7gPNFRAA8DsC7yte/FcDTZluDWKAM6QVlyDaUIWkS0014F0yF+MGyCLEkQ0Lv01jPhb7E3B8k9SapqaZBQp/TUbA39AIQMo7QEuRCAH9b+f9LRORaEXmziJxcPnc6gK9VprmpfK7p+R8EcLuq3rX0/Aoi8kIRuVJErsRt35q+NjHAdEgvKEO2WciQ3IQIZUg8xHrzF9M+sCpCAFupkND7M8S5kGIpwBxYLosJjc80yFxYWRZL18NOuhIdeX3sJJ4JJkHKPh1PBfCfy6f+DMCPADgbwC0A/mDuZVDVi1T1HFU9ByefOvfb2YMypBP2DdkJZUh6WPngNhWmQubH8g2opQ/+ofcnRcg0ciyLySkNEvrvhIuSmLHnQNPrvI4Q09Sfg307iGdCjg7zJABXq+o3AGDxLwCIyH8C8L7yvzcDuFfldWeUz6Hh+e8A2CciJ5RpkOr0pA6OLNMLjiqzTY4jyqQ8mkxKo8gsPmDGNopMLPtg8SHa4mgdlkaOCT2yRIhRY1IaMWbsqCVdWB4tJvQx63OkGEvzJ8Q5CuDO0Athn5DlMM9CpRRGRE6r/O5nAVxf/nwxgAtFZF1E7gPgLACfBnAFgLPKkWDWUJTWXKyqCuCjAC4oX/9cAO+ddU1SgumQTpgM2SbXZEiqxFSe0UXob/vGEsv2t5oKYSJkGyZCphFLfxBLZTG5p0FCn/OuqRshZtNSYsPSspDoCCJBRGQDwBMAvLvy9H8QketE5FoAjwXwvwGAqt4A4J0APgfg7wG8WFWPlimPlwC4BMDnAbyznBYAXg7gpSKyH0WPkL/wsFppwd4hnbBUZpvcZEgOJTIpfJiLtUQmlu1vWYRYkSGh92PqImRuYiqNcUHofWd1e7veLnOfl8Gvf1M/DlJuEA8EKYdR1YMo5ET1uWe3TP+7AH635vkPAPhAzfM3ohg9hriA5TKdsFSmILcymZRLZIB0YsAhSgNcEMP2Z3lMN6FLnVIujZm7LGYuXJfFHMZu7J6hfGcMR7CONc8lPzFcK4fStU6xHvuEWCH06DAkNpgOaYXJkAImQ9IhllRCF0yFzIvlVIgVQu7HlBMhLIspsNQkddr7+/lbmmtJzCzNUbuGyfWR7OgaaYaQJUI2RiUxw3RIK1URknM6hMmQdAj9bbYrYm6can3bW02FWEmEAGH3IxMh48mxUeoUUkyDuJ5/rAnF6NgF4GDx490AI3mpmTkK4EDohbAPkyALFp102U13OEyHtMJ0yHYyJJd0CJMh9mEqZD4spkLYJ6SAiZDxWO1XUcVSGiSGJqkx/h0gJBZE5HgR+YyIvK9lmqeLiIrIOT6XDaAEqYcyZBxsptoKZUgBZUgaxHAz3kXMJTLWsShCADvlMRQh82D1uGuDZTF17z1uHaxcG10tR9d82o53V9c68yPEEMv8OxSDl9QiIieV01zubYkqUIK0cScoRMZCGdIIR5UpoAyJn1iSCV3EKENi2PaHscfkTSlFCEXIWGLpD2KFGNIgQ7B+zY2Svr08KF6iQkTOAPDTAP68ZbLXAngdAt1pU4L0hUJkHEyHtEIZQhmSAjHckPchNhECxPGhnCKkGYqQ+GBZjB98pUFCXvdDvfcszVGHQKERO6eIyJWVxwtrpvljAL8O4FjdDETkoQDuparvn3NB22Bj1DFURQi7EfeHzVQbYSPVvJqoptpANYXmqTE2To1hu1scznEhQkI3TWWzVPfE2Cg11WFzQzRJnZO+x6+r4zyGptgAihFiqs0414HBu30DW01MJ02TO8cwd2PUb6tqYw8PEXkKgG+q6lUi8pia3x8H4A8BPG+2JewBkyBTYUJkHEyHNJJ7OoTJkPhJIRkSa4mMZVge00zIcybVREiMjVItlsXEmAYZSmzX+io++oIExd4pQbp5NICnishXAbwdwONE5K8qvz8JwAMBfKyc5lEALvbdHJUSxCUUIsNhuUwjlCH5jCiTsgyJndg+HMcgoChCmslJhPjA4rHWhUsRYqUsxndvEOvXwCoxnHt1zVEH47oEpprEZ3mNKVT1lap6hqqeCeBCAB9R1Z+v/P67qnqKqp5ZTnMZgKeq6pU+l5MSZC4oRIZDIVILG6nmkw5JUYbEcFPeBVMh7rF4c0oR4vc4Z6NUP7gSIaGwmAbpe+xavg5PPS84QgwZioi8RkSeGno5FlCC+IBCZDiUIbVQhlCGxApliH+sb3OL5TGbWDMhQ3JpmEoRUk+KZTFMg4zH57p4a47aBSVLEqjqx1T1KeXPv6mqF9dM8xjfKRCAEsQ/lCHDYDqkltzTIZQh8WL9xrwPMYkQwP7NgDURAthIhVCEuCVnEcI0iG2mnm/J9wVxwO70PzJucww7v4B3/UgESpBQJHgwzQ6FSC2UIekfD5Qh9mAqxC1WUyGhoQhxC0XINEKmQcZs3zmHy02hJIaQnKEEsQCFyHAoQ1agDElfiFCG2CNGGWIZipBVchk5xvqxSQpiK4tJhSjOj71L/++7q3d1T0KIayhBrEEhMgymQ1ZgqQxlSIykIENiwfq2tihCrMiQEKQmQpgGiZeU0yAh/oYMORecjBBTJVDPj7jPAOISShDLUIgMg0JkBcqQtI+FVGVIrDAV4g6Wx9RDEeIGipBpMA1iD5d9Qfo2R+UIMSRmTgi9AKQnVRHC2Fg3CxGydzPschihKkJ27z0UcEn8sxAha7vSPRYWImTP2uHAS+KGxQfsPYjzWF3cMK7hSOAl6cb6tj6MPdhtaNk2sYb1wPv1EPYE2V9HsObtmPaxjnMeW4ewG3uQxvW4iVDH4ZhtO3RZfR7rQwi1zZ2xAeCgg2lIO8cAHAi9EPZhEiRGmBDpD9MhK+SaDsmhb0hqyRDrZRtdMBXiBmupEAvlMUyEuCGmRIi1NMhUUkmDxF4SEz1taRQmVUgLlCCxQyHSHwqRHeTcO4QyJC5iliExlchY386WRAgQvjyGIsQN1o6rNqyJkFDHoI/eIDEy5liO6fgfJDXS/YhHHEEJkhIUIv2hDNkBZUiaUIbYgTLEDRZTISEJta8oQvphvT9IaCynQeZokBoSF9eqXs1Rl0eIccGQw2QDq7KEiRBSAyVIqlCI9IPpkB3kmg7JRYakIkQs36R3EZsMsQpFyE4oQqYTkwhxhYU0yFgRYnm7NuGiJMbXud63OWonc3y0apIa7JlIBsDGqDnApqr9qIoQNlTdEiE5NVKtipBUG6mm1ETVelPPNqw23lvG8ja21DR1IUJCNk0N0TSRzVL74bpR6ibWsQ43f6MOYzd2T1y2WBp2ptIg1RKbG8A6G5na4ijYGLUHTILkBhMi/WBCZAumQ9KEyZDwMBUyHZbH7ISJkOnEkghhWYytNIiVa2RUfUG6ylRYxkJmhBIkZyhE+kEhsgVlSHpQhoQnFhlieftShGwTSoT4OoatHoN9sCpCLJTF+GLocro+rkOWxIS+NgFgKQsxAyUIKaAQ6QdlCIA80yGpD7GbmgyJEcqQaVhKhYQeRjf1hqlzr5uV46gPqYgQpkHioFdzVEIigBKErEIh0g3TIVvkJkOAtNMhqcgQqzfqfYhBhAB2P/BbuoEN/c0rRch4YimLcYkLERIDoa9dsRy7zpqjDqVvGQzTI2QCbIxK2mFT1W7YUBUAdoiQXJqpLkRIik1UU2mgarmxZxuLG0nrTfmsbt/FTYCFxqmbWGPD1JmYe91ybJQ6lSn75AjWsTZiPVxvz2VCNEjtek/TzWj3go05Q6LgF9k9YBKE9OdOMCXSBRMiAPIrl0m5VIbJkLDEVCJjESupEAvlMb5hIqQd9gepZ2xZzFDmOm6sXgsXNF2Hphznm13JDR+7lE1UyUAoQRYcDb0AEUIh0g6FCID8ymUoQ2xDGTIfVrettV4hoQixfyhC2klZhPhm7jKjEA1SiQMqcuQkJtpJBUqQKgcqDzIMCpF2KEOyTYekxkKGxC5ErN6wd2FdhAB2t60lERJahviEIqQdyz1CpsA0yHSmnDvR9wUhZGYoQZo4AEqRsVCINMN0CIC80iEslbGN1Rv2NmJIhQA2v+lkKqSAImQcMYgQpkHmw9p1N9Q11ukIMX3LWNL7CEUCQwnSFwqRcVCINEMhwnRIIlCGhCEGGWJ1u1KEhBEhPo7XWEWIS6yIkBiGzA15fQomMWboCzII9u8gBuDoMGOoipC9wZYiPjjSTDMcYSar0WVSHVUmhRFlrI520kYMI8lY3K5WRpBZ3JCEGEEmxH7xMdJGjKPGWB0x5jB2Y/eE5QoxWsyc9D1+XR2DIUamGcPmBrB+sPLEmBFidmH1S9MNAAdb/k9WOQp+ad8DJkGmwrKZcTAh0gwTItmkQ1ItlWEyJAyxJEOsYeWb/dxSIXMTYyLEaqPU2MgpDdL2eivXtllgmoRMhBLENRQiw6EQaSZzIZJTuUzKMiRmIRKrDLGMxW1qpVcIRYhb5j7WYhAhLoixLMYC1q5zY6lrjjq4L8icu5FChIyAEmROmBIZzp2gFGmCQiQrGZKqEIkVizfubcSSCrG2Ta2IkFAyJEURAsy7XtZFSAr9Qca933xpEN/X1jneL3hfkC4oNsjMUIL4hEJkOBQi9WQsRJgOiRvKEL/EIkMskXsqxPcxThFSj0UREoqY0yB9YEnM/JxIqUKWYGPUUCyLEDZY7YaNVetZiJAMG6rm0kw1xUaqsTdRtdjosw3rzVMtbs85ml8OJXTTVF/7w1fzxznXyXqzVBeNUmNrkjp0+w1ZPt8NUmNgpTkqCcMx8Av3HjAJYgWmRIbBhMgqGadDgDzKZVIslWEyxC/WkyHWtidTIX4TIbE3TM0hERJbWUwq+CyJqaOuL0gnbV/wbjT8TIgnKEEswl4iw6AQWSVjIZJLuUyqMiRWIWLt5r2LGGSIJShC/EERYp+pImQsY8piLPQG6TNPSyUxfacf3BzVAHcLvQDEDJQgMUAp0h82Vl2FQiRpIcJ0iC0oQ9xhbVtaSIWEapqaYp+QmESItTTIVKw3SSUz0efQY7k78QQlSIxQiPSHQmQnFCJZCJFUoAzxh1URAtjbllZkSAgoQvqTuggJVRbjo0mq1TSI5et0MNqkSTofh8gMsDFq7LDBan/YWHUnVRGSWVPVhQhJtZlqVYSk0Ew15iaqFht+NhFD81RL2zF049RQTVNTa5gaU7PU1BqljsVHk9QYGXMsb2ItSOPlQWwAOIhCavTZ7YseI7k2aWVj1F4wCZIaTIn0g2UzO8k0IcJ0SFzE3DfEWpqhDZbI9CfXVIjP/eDjeGQiZDxTEiGWzuVl5kiDuGDse7noC9KnOermcpNTn1/ObqD+S05+8UlqoARJGfYS6Q+FyDYUIqEXZRZS6x0Suwyx/OF/AWVIfyyIkFAyxBcUIduk1OPCZ1nMnE1SXc3P0nWtD0Gao3I0GeIASpCcoBTpB4XINpkLkVShDLGBtRv5JihD+pFzKsQXFCHbuBIhodMggO3+IH2xco20cj3sRZfMoOwgMxJMgojIV0XkOhG5RkSuLJ/7ARG5VES+VP57cvm8iMifiMh+EblWRB5amc9zy+m/JCLPrTz/sHL++8vXiv+1NA6FSDcUIttkKESYDokHlsrMj3UZYoVcRYjP8pg5oQgZR6hhc4eSQhrEdUmM12tG06FG4UE8EzoJ8lhVPVtVzyn//woAH1bVswB8uPw/ADwJwFnl44UA/gwopAmA3wLwSACPAPBbC3FSTvOLldedN//qRAxTIt2wj8g2FCLJkYoMAeJNh1CGTMPS9gudCkm9PMaHCJlrXShC6rFcFtMXi9fFKYztC+INipN6jgE4POMjEUJLkGXOB/DW8ue3Anha5fm3acFlAPaJyGkAngjgUlW9VVVvA3ApgPPK391NVS9TVQXwtsq8SB8oRbqhECmgEEmKFNMhsWHpZr4NypBuLMgQ37Bhajcpi5ApWDlvlwmRBrE8/y5WmqMOhY1MiQdCShAF8A8icpWIvLB87p6qekv5878CuGf58+kAvlZ57U3lc23P31Tz/A5E5IUicqWIXInbvzV1fdKGQqQdpkQKqkIkEymSgxCJnVhLZSzdzLdBGdJNaBHiW4awPKabVEVIiLKYFNMgMZXEdDZH9TFCDFMhZCAhJchPqOpDUZS6vFhEfqr6yzLBoXMugKpepKrnqOo52HfqnG+VFkyJdEMhUpCpEEkNpkPCYulmvg3LMsQCTIXMB0WIW0KKEKtNUmNLg5CSihzZHf9HGOKQYBJEVW8u//0mgPeg6OnxjbKUBeW/3ywnvxnAvSovP6N8ru35M2qeb+YYeGM/FkqRdihECjISIjmkQ2IXIpQh82FRhljadiFlSKhUiA8oQmwNnRtChAx/n7jTIHO9topVUUfIVIJIEBHZEJGTFj8DOBfA9QAuBrAY4eW5AN5b/nwxgOeUo8Q8CsB3y7KZSwCcKyInlw1RzwVwSfm774nIo8pRYZ5TmVc/eGM/Hm63Zlg2U0AhkgQpyZCYhMjiht7KTX0TlCHt5JQK8bXd5z7mchIhoRuljiG2NMhUXJfE9MVpc9S+ZSwsd+nPMQAHZ3wkwgmB3veeAN5Tjlp7AoC/UdW/F5ErALxTRF4A4J8BPKOc/gMAngxgP4BDAJ4PAKp6q4i8FsAV5XSvUdVby59fBOAtAHYD+GD5GM/yDb2P+rYU4HZrpypCcm0EVRUhezfDLYcHqiJk995DAZfELVURsrYr3n24ECF71uJpf774UL4Hdo+nxQf1NRwJvCTbWNlui5uR3QGWYyFC1j3ul0PY42WbH8HabMfbXOtwGHucHQeHsBt7HAzjsIl1rCPMNX3sdj6CdawNWGZX22p1ObqPQV/nQ182sebserC5Aaw33TCvA7W7aAPdN9lNryVmEJFdAD6BYm+dAOBdqvpbNdM9A8CrUbS/+Kyq/pzP5QwiQVT1RgA/XvP8dwA8vuZ5BfDihnm9GcCba56/EsADJy9sE3UpB97gd0Mp0sxyMiRHKUIhEj0LIUIZ4hcrN/VtUIY04/IGeCgub3z6QBHSTIoi5DB2Y/fI5fB1rAzZVr7FRdf7tR3nPpd1c30N65sznG99xAixxiaAx6nqARE5EcAnReSD5QivAAAROQvAKwE8WlVvE5F7+F5Ia0Pkxg1LaIbDbdZM7mUzLJmJmhR6h8RcKmMZq2UyocmpV4jP8pi5mGsdUiyN8d0fZO6ymL70Of4sXHu6cHJMuv7Ss1oek+OXhobRgsVd3YnlY3mwk18E8Keqelv5mm/CM5Qgc8Ib/OFwm9WTey8RCpGoSUmIxAJlyHCsbLPQMsQn7BNSD0XIdIaKkCHbyfd1wucx1vca4LQvSB0UG1EjIseLyDUoBjm5VFUvX5rkfgDuJyL/JCKXich5vpcxVE+QPGEpyHCq24zba5uce4ksi5CEy2ZSLJmJvVymKkJiKJepfngOXfLRhLUymdxLZHz3CvG1vWMrj2FpzDbWemcA/ZfJR28QKyUxpsmprOYY5v7C9BQRubLy/4tU9aLqBKp6FMDZIrIPRR/QB6rq9ZVJTgBwFoDHoBjF9RMi8iBVvX3WJV9aABIKSpFhcHvVk3svkUz6iCyESGoyBIhfiMQgQwA7N/dNUIasErpxamq9QihCwouQsYzZvlaapLogBpmx3BektTlqlZwERRp8W1XP6TOhqt4uIh8FcB6KkWAX3ATgclX9PoCviMgXUUiRK2pmMwssh7HEcikIy0Ha4baqh2UzSZfNsFzGHiyVcQvLZFYJVSITolfI3LA0JizW+4PMURbjozfImON6yLHl/PoT6M/9Sbl9URgAETm1TIBARHYDeAKA/7Y02X9BkQKBiJyCojzmRo+LSQliHt7o94fbapWce4lQiERJCjIkFiFi4ea+DcqQVULKEF/42M5zHls5iJDY+oPkztBjcra+IH0S3BvdkxDznAbgoyJyLYpkx6Wq+j4ReY2IPLWc5hIA3xGRzwH4KICXlaPEeoPlMLHBkpD+cFutkmsvkQz6iKTWPyT2cpmYSmUslH20wTKZVUL0CwnRKyTW8pg5jhFrpTEx9QeZsyzGZ2+QGEpivNNWSrMBBKjcyh5VvRbAQ2qe/83KzwrgpeUjCJQgscMb/f5wW+0k514iifcRoRCxQ0yNVK03UbUoQ0KLEMB/vxCfMsSHcIqpTwhFSIE1EWKFMcdyqAbMg1iIjr69QxafZ3PtM3IUwB2hF8I+LIdJDfYV6Q+3005yLZ1JvGwmtZKZmPuHsFTGDZbKZCxsp1xKZOYkpvKY1EpjxhL6vKviszfI2PV2URLT59jbXN/5us05yluaDrkN1JfTsMSG1EAJkgO82e8Ht9NOKESSI1UhEhsx9Q6xcJPfBGXITlJvnOqrV8gczCFCXO3v0CLEZ3+QOZukWsH3NXFwX5Ah5JRQJt6hBMkRpkX6wW20TY4pkaoQSVCKpCREmA6Zn8UNaOgb/TooQ7ZhKmQ6sYgQwJ34ilWE+Bgtpi8xp0G8XjOqpejVXcG0BvEMJQgp4A1/N9xG2+QmRAAKkUiIVYgwHTIdypBtQsgQ36mQOZnrWJrjuKAImVeEzDFkbiyMLYnxBsUJmQAlCKmHN/zdcBsV5J4SSYyqEIldisQuRKwT+ka/CcqQbVKWISyP2YYiZN7jwHVZjIs0yNT5z8lyX5DBUG4QD3B0GNKPupv83EdXWYajzxTkNupM4sPvpjLSTIwjzMQysozVUWUsjSYTeljdUEPq+hpBJsbRY6yOHBN61JixI8YMZehoMX3xNWrU2Pdpet2U4+fQ8bux52jzPtvcANbnHqllF/L5Iq6LY8h3ZJwBMAmy4Bjy+ibbBUxCtMPtU5BbUiSTlEjMxJwOsZ4QCZ18qGORDAn97SgQdvswFTKeOctjXJJzIsRSWUy/9573vLBwvTNBZRefyIQJqUAJUsfyTVsON24uYMPVdrhtCnI6rxJurpqCEGG5zHxYlCGAnVKZHGWID2Isj3F9LFgSIb6xUhbjajnmapA6hNn7gvT980uBQRxDCdIXipFx8Ma/GW6b/M4pChGzxChEYkiHWB1VhjLEvwxJKRUyBymKkBj6g4QcLSbUNcjHKDGtfUGaysX7iA7KEOIISpApUIwMh2mRZrht8jqfEk2JUIiEwboMAWymQyhD0pYhcxFDeQxFSH9ClsV0v9/4NIjPa9uh42faLk195eL580yMwsaorqm7cUu9MeRU2HS1mdybrebUZLUqQhJprppCU9XYGqrG0Ew1dJPQOqw0UQ25bXw3T/XROHXu7TlH01SXjTUXImTqfp3aLDW1Rql9t0effTlX490uhhxndefq0OvFrM1RN8BGoFUWfS5JK5QgPqAYGU7uN/9N5L5dcpEiCY44QyHiH+tCxOKoMrnLEFc3zX1ZJEJ8yJA5RQjg9phxvf9dCK7YRIivUVpc0CVCutal7fdDJUuIkaRqcS02djmeH4kelsOEgqU0w2CpSD25b5Nczp/EymaqJTOxls3EVjJjvVzGWqmMlRFlQm2XFEtkYuwVYq08JrbSGAtlMZaua3OzXBLT2hekShx/RkliUIJYgmJkGLkLgDpy3ia5nDsJ9hKhEPGH9WaqFhupUob4lSFzM+e2pAjphiKk6X3bj505RooZ8hrn52agJPNu+3+miScoQaxDMdIfpkVWyXmb5HLeUIiYgkLEHZQhq+QgQ2JvnDrHcWJRhEyRIdZFiFXGrsfQ47HvMTL0WNrk6C/EEOwJEiPsMdIfNl1dJde+Ijn0E0msl0jsfURi6iFiuX+Itd4hFvqG5NAzxEe/kDm3o+uGly6X1VXfhyl9Qqb0CJmbnJqkxtQ7pZam3iGLz3g59gE5BuCO0AthHyZBUoGJkf7knI6oI9dtkcP5klBKJPY+IjEmRCxiKR1ioW8IkyFuyDEV4mofhkiExFoW44K29XA5XG7dsdHnPBzdF6SNhdDoSonsKqdZno7pElIDkyAp03Rjl+I34FPJNR1RR67pmdSTIkyJmCGWhAjTIf0JnQ7JJRnCVEiB62F0Q44cMzYR4mPEmCGJEFfvH2rI3LHMOppMU8qDQ+ISBzAJkiNMjXTDtMhOctwWqZ8jCTVYZUJkfiz3D7GYDglFyGSID5gK2cblvmYipJm+iRArTVLHpEF8XjN29AWpfsFm+08gSRAmQUgB+4x0k2tCoo4ckzM5JUUiToksi5CYUiJMiEzDUjqkerMR4lvdEMmQlPqF5JgKYSJkOlPW3yJ1x8TciaxBrANG28qQCKAEIc2wnKYbipGCHLdDylIkodL2u4umAAAgAElEQVSZWMtmYhMilmQIEK48pI6QpTIhxBBlSDeWRQgwbd+lKEJcN0p1URbTNo+23zXNd8oxtCxLDh2/G3uObm+DzfU1rG8OON7HlLuwRGabY+C26AElyIJjoRcgIpgaaSdHIVBHbmkRShHzUIjMB9Mh3eTWNyS1fiFziBDA3fFgafSYWETIEEL0ByEO2MB2WoSihFSgBKnS1Osg9Zs3F1CMtEMxkt82yEWKJCBEgHikCIXIeKykQ3IrlfElQ5gKKbBSHhODCJmrUaqrspi50iBDmL0kZi/69ZrbhTT7s5FgUIL0gXJkHCynaSc3KVBHTmmRVKUIUyLBoBAZB9MhBZQh44glFUIR0o+Q/UFCjRYzR0nMyryWSmKqbG4A63WJjD49PpjmII6gBJkC5cg4mBppJncxktP6p3oeJCBFYkyJUIiMw4oQoQxxz5wyJIZUiKtlnLq/FqOmjJEhFkWItbIYH2mQPnQJs8F9QRZwmFwyE5Qgc0A5MhymRprJSQzUkdP6p5gWSUyKUIi4wbIQsSBDAP9ChDJkOHNsM6ZCdhKzCPFVFuNynnXbIcgoMUMkR59pN5BPOc0x5LOuE6AE8QnlyHBS/bZ8KjmJgTpyKaOhFDFHbCmRqhABbEoRa0Ik93SI7/X3KUNiK5GxmAqhCClwKUJSSYMQEhPHhV4AguKGru5B6rmz4ZE7OR9Duax7isf8gfWdj8g4fGDP1iMGjty5vvWwyKEju3dIkdAcwp6tRyiOYG3r4Ruf634Ye7aEyFxsYm0rGeKaObaV6/3uYvmm7qNFecxQNrGOTQy/bh0e+H5DttGRnsvTZ5273rfrOBizb4ccW332+/I0h45vXu/Njcp/PH6RdeJG9zQkD5gEsQyTI8NgSc0qOSdGclj31JMiTInMiuWyGWvpEMBWuUzKpTI+kiE5l8i4SAa46BPis2GqlWapUxmbDhq6Pn2nH5qu6tUXpE9zVEIcQAkSI23fcqd2k+cCltTsJAc50ETqZTSpHesJlc5QiIzHmhCxUC4TqncIZUh/5pIhrkQIELY8xroI6UssZTFNzNFvxDmLnh91w+TWSZNq2oPNU0kDlCCpwfRIP5ga2UmuYiSH9U4pLRKxFIkpJWK5jwiFyCoh0iE+1zsFGZJ6KiSWkWOGiBCr/UFCpkH67OvladqGyh1N24gxQL0oyUmGHAVwR+iFsA8lSC5QjvSDcmSbXI+Z1MUIpYgJYpUiFCLNhBYiqadDqv0G5hIic8mQ1FMhocpjUhUhU/CdBpnScHhzA1hfyIm9WP38xWFwyYxQguQOS2v6QTmyTeqSoI6U1zmlEppEpAiFyHCWm6mGliKh+4eETIekUCoTiwxJLRWSiwiZ+p7W0yBt9OoL0hdKEjIBShDSTK5JgCGkdAM5hZQlQRMp9xdJJS0SqRSJJSXCspkey5FhOiSlUpmYZIilVAhFSPuyzF0WM2bIXJdpkMklMWOao1KIkIFQgiw4iu2bmpRuZuaA6ZF2mBopyE2ipSyCUpF9lCKzEkNKhEIkzXRIzDIkxVTIlP0xtk+IJRHSb37zNkq1OsKNd6pyZBcoSsgWlCB18CZ/PLnd+A6BcqQgZVmwTMrrmkJaZFmKAFGIkRhKZyhEOpYjoBAJmQ6hDFnFaolMjKkQKyLEV38Q12UxdfObuyRmR1+QNpj0II6hBBkKBck4uN2aoRzJS56lKkaYFglCDCkRq2UzFCL+hYivdaUMcVsiE5sIATBIhoQUIVPfb2xZjGu6SmJ60ac5at0wuWSVu0IvgH0oQVzCG/1x5HQDPATKkXSFwTKprmeKaRFKkclYTIlQiPgvl/GRDsldhlhJhUwtj/HRJySUCJm7LGboPOdKgzjvC1KVI2N6iJDsOc73G4rIvUTkoyLyORG5QUT+Xfn8q0XkZhG5pnw8ufKaV4rIfhH5gog8sfL8eeVz+0XkFZXn7yMil5fPv0NE1hCaAx0Psgq3Vz13NjxyIZdjIsV1TOG4PbC+82Gcwwf27HhY48id6zseFjh0ZPfWI+hyYM/WwydHsLb18IGPdTyMPVuPOdjE2pYQcYXL7eJqf05dnrHb/xB2b/UKGcIiFdKXwwPeo++2ONJjGcas2873aN63Pq8frs8Bp2yEXgBijRBJkLsA/O+qerWInATgKhG5tPzdH6nq/1WdWEQeAOBCAD8G4IcAfEhE7lf++k8BPAHATQCuEJGLVfVzAF5XzuvtIvImAC8A8Gezr9kUmCIZBrfXKm03lDF+Az+UVNMUVVJMTcVeRsOkiFOspUSsDL0bashdn+UyKZTKzJUMsVQiE1sqJJVEyBxlMXOnQdp+P6oviAsoQ0iJdwmiqrcAuKX8+Q4R+TyA01tecj6At6vqJoCviMh+AI8of7dfVW8EABF5O4Dzy/k9DsDPldO8FcCrYV2CtNH1DXDMN0BzkOKN4lRyLa3J5VhITQDFXEYTWbNVy1LEYi+R0GUzuZTLxF4q41qGWC2RCdErhCLEzjV6KL1KYur6grTR1jB1A3EmTokXgvYEEZEzATwEwOUAHg3gJSLyHABXokiL3IZCkFxWedlN2JYmX1t6/pEAfhDA7ap6V830acJURD+4nVahHNlJSsdBSmKEaRFvUIr0J1chklo6hDJk/LK5SIVQhCzPa7wICZEGWcZJg9RlFqJj8W9Tc9TllMfByvN2/+zOgAL4fuiFMI/3niALRGQvgL8D8Kuq+j0USY0fAXA2iqTIH3hYhheKyJUiciUOfGvutwsDe5H0g9toJ7n2HUl9/6e0fjEfnxH1FbHcU8RSL5HQfURy6B8y9/rN2TfEdc8Qa/1CpizL2G0+pk/IJtYH9QkJ1SNkCmP25dT9N5bN9e1l3awrUwl/aScjaOr/uTTN3UXk/xORz5bTPN/3cgZJgojIiSgEyF+r6rsBQFW/Ufn9fwLwvvK/NwO4V+XlZ5TPoeH57wDYJyInlGmQ6vQ7UNWLAFwEAPLD5+jE1YoTpiO64TbaJse+I6mnRpgYCU9EJTRWkyKWUiKh+4gs39D4Son4SojEnA6xngxhKqRuudwnQrrnM09ZzNDXjU2DtC7D0FFi2mgrhSEhqe3/WfbtXPBiAJ9T1Z8RkVMBfEFE/lpV/QxPhjCjwwiAvwDweVX9w8rzp1Um+1kA15c/XwzgQhFZF5H7ADgLwKcBXAHgrHIkmDUUzVMvVlUF8FEAF5Svfy6A9865TsnCFEk33D7b5JYeSXm/p7RusR6TkaRFrCZFLI06k2NKJLV0iGusJkNcpULGLsuUVMhQQiZCXIwY0/Y+Y0aLcZkGWT62B+/TMV/ENG3S6hchbIrqBVW9RVWvLn++A0Bd/08FcFLpBfYCuBWFPPFGiCTIowE8G8B1InJN+dy/B/AsETkbxUb5KoBfAgBVvUFE3gngcyg2zotV9SgAiMhLAFwC4HgAb1bVG8r5vRzA20XkdwB8BoV0aUeRb3+EsbBhaztMkBTklh5JOTmSSmokxsRIJGmRGJIiTImU7+0hIZJKOqR6E+cyHWI1GeKqX4jPVMhCGgxJhQxNhADolQrps+4h+4MMYY40SJXqKDGtMPVhiVNE5MrK/y8qqytWWOr/WeWNKIIOXwdwEoBnquox94vajBTBCSL3Pkfxa1d2T1iH9Q/PVonx5skXuW+bnM6pVPd1CusV23FoUIosY0WKVAndYHVBqOF3Af8jzfgYYQaYd73maKTqcmhdwN36T91fU5ZjzHYeWh4zpGEq0E+EFMvRvexdIqSYT/v7tb1P075rek3d83XzqJtueV9Vj+fl31VLYqoSZGuo3OqXLotNdLDy752Vnw9WpjtY+f3i5++gyBmUP8uXcJWqnrOyAokg8hAFPj7jO9y91/Yr+39+HMDvLtpfVH53AYpgxEtR9AS9FMCPl31CvRB0dJhk6BOvju3DtA+YJGkm9xRJTumRVJMjKaRGYkuMRJAWsZgUsdJPJORoM6knRGJJh1TLCFwIESvJkCnL4SMVsiiNcd0nxFciZAxDRotxkQYZvB+7hsqtjhDDlIg56vp/LvF8AL9ftrHYLyJfAfCjKFpeeIESxBcUJcOhJKmHgqSe1M6fFOVICusUuxihFOnEghQJWTaTohDxVS5jtVTGpQwJUSIzdvsOlQdzNEz1IUJ8lMX0YVl0LA+X20TvkpgprIOixBNN/T+X+BcAjwfwjyJyTwD3B3Cjp0UEQAliC4qSYVCSrJLzNsklPZKCSFgm9tRITGLEeFqkrrlqaDFiTYpQiExjznXKQYbEmApJRYSMfY8mERIyDdI0SszmRqUkZg6s/m1Oi6b+n/cGAFV9E4DXAniLiFwHQAC8XFW/7XMhKUFig6KkPzkLgSZyTZHkIEhSkyOxrw/FiDOspUVCS5FQKRHfQ+/6FCJzyRDAfalM7jJkjGiaszzGpwiZo1HqEJHhM1Wyg3UU/T7qyl6Wn1seAYbpD++o6idRiI22ab4O4Fw/S1QPJUiKUJT0g5JkJ7luj9QFSWriK2Y5QjHiBEqRnViQIrELkZjSIS77hliRIbGnQvqOHBNahAyh73yWpxtSEtOUBtmiqS9IUw+QhSzpO32yHAXgrb9otFCC5ApFSTddUgCI48bLFandTPchV0ES4/6MdV1i6nFjtL+ItRIaS1KEQmQ4c62L5XRIaBliPRXisjzGhwhpnu88ZTFDaJJXo/qCVJujEjIQShDSDEVJN7mmJ5bJcTukLEhSEl6x9huJITXCtEgvQkqRECkRn2UzsQsRyhA37z9WhoQqj+mznlNEyNxlMV2vHdsgdWv6MX1BmtIeG+AoMqQWSpAFR8Fv/sfQ18Ba+/DuCx5TBblJkhwFSUz7MNZ1oBgZjaW0SM5ShEJkJ67TIa5KZVysaygZYiEV4qpPiAURMncapLMkZkFTqQshI6EEGUqfm1rA/odp3zBV0gxFSV6SJFVBkkJ6JEY5EkM5TSRihFJkfiniKyXiS4hYLpexkg7xLUN8pEJ89gmZS4QMoc98XKRBaktilvuCLNIc1VQHEx5kBJQgc9FXlgC2P2D7hKmSZnKSBHXksv5d50Csx36McqFKjMtvPTViUIxYSYtYkSKppETmFCIxlMukIkPmLpEZkgqZozzGtwiZWhYz90gxzofK3UBGSRIFRvSMyQ1KEAswXTIMypJVck+TUJLEebzHnh6Jbfmtp0YiECM5SZEUUyJVIQK4lSLWy2Vcl8r4liE+S2RClMdYFyF9ymKGpEGaSmJGNUgdwvIQuiRbKEFigumSYbAEZyc5i5IcJAkFiS1iSo9YliN1YgQIJkcspEWWpQjgR4yElCKxpURiESK5yBALqZDYRMiY5es7zWAWJTF1fUGWR4hZvjweLKdhuQxZghIkVShM+sFUyU5yFSWpS5LUymxiFiSxyxErx4qh1IhFMZKaFPGdEslFiLhIh0xdP+syxGUqpE+fkK71OlLe5TfJEFcixFVZzJg0yNa0TSUxbSPBUHaQnlCCEAqTPgwZh9zKTcJc5Fi+lbocSkmSxCpIYlnu2FIjmYoRSpFpxChEYk+HWJUhQ1MhFspjhsib7fn1EyEuymK66F0Sw+aoZAKUIAuOIa5v6EJBYdIN0yUFqYuDZVJOk6QiSWIRDcvE8LfJqhwxVE4TUoyEKKEJJUXmFCKAOyniepktpkNikCGuS2SslMc0iZCh5Sp9RchYeu+D5VFi+lKVI+vIRJQcBXBH6IUwDyVIH8acdJY+nIZi6HbLbZtRluQlSlJe1xT6kcQoSGJY5pjkSOZiJBUpEmNKxPUyWxEiU0TP2O08VIbMVSLjsjzGlwiZMmLMkDRI03C5vUpiFn1BqnJjuS8IIT2gBJkLCoDhMGVST+6lODmV36QoSlJIkcQgG5axnh6xKEeMpEZCiRHfaZFlKQLMI0bmlCIxpERcC5FY0iFzyhDfqRALIqTP67tESBN1aRDno8SwXIYsQQliBaZNhkHJVE/OwiQXWZKaKIl9FKfYyqCsC51Y5AjFyCz4SIv4kiKpChEL6ZAUZUhXKqRPw9Q5RYiLspixaZBW2uTGBlb/pnCIXFJCCRIzFCf9oTRZJddynBxkSW6ixPIxal06VLG8rNZKrgykRqyIEUqReuZIiaQqRFKQIS5LZMamQiyIkLFpkDoWaZCtkpi2oXKBVcFRbZrKchmyBCVIbowRJ0D4D8C+oTTZZugfDss3pENIXZakJEpilSQxpUhiFCQZypEQYsRnWsRHCU0sUsTlcoYWImPlzpjkzVwyxHUqZIoIAeqH0J1LhPR53YKmNEjXcLm1sMSlgaMAvhd6IcxDCbKAo8O0w9RJO9w+2+RWkpOyLElFlMRachOLJLEqSChHANSLEWBeORJSjMQoRSylRFwKEcvpEAsyJER5zBwipEuMtP2+qSxmZbrlBqnLNDVH3YWdiZAwo6YTg1CC9GFsegKw8yE1BEydtMO0SV7CJNXGv6lIoBjTJDFIEouCxFJpjTE5koIYmTstMocUsZoSmSpEQqZDYpAhPlIhTSKkbtlcipC2spimYXF7NUitK4lhIoSMgBJkbihQhkN5Uk/uaZOcynJSEQtVYl+nGNMk1iUJBUkzgeSI79RIKDGSsxTJRYgMTdoMfQ+fMmRKKmRon5Apo8Z0iZAqXU1SBzdI7WKRCGm4tJL8oASxzBSBAoT/gOsbypNVchYnOUiTFNMlMZfgxCZKLEsSi8tmQZBkIEd8iJE50yLWpYiL5Tu8NI+hUsSFELGSDhkiQ3yUyDSJEKB/n5Cm9e/T9LRNhPTpJ9KWBqktiammQOquwwfBpAiphRIkZShR+sG0zk5yFSepS5OUhEnMqZKYRIlFEbHA2rKF7j9iSI74EiOAWzkylxhZlg7AdDEylxQJkRIZK0R8pkNcyRAfJTJjy2P69gmZOvpLU1nMoDRI1ygxhPSAEmTBMaDxmrT6dzEPKFG6YfqkIMftkLI0SUWYxLoesQxfbTm1Y6XUJnSvmSY5AswmSFJKjfgSI1akiOuUSAxCxHWpjC8Z0pYKGVMe41KEjC2LaXtupTfIMk1pj+rwuNkkQo4BuCP0QpiHEqQPrkrScpMpUyUKYOvGxCUUTAU5pU7GjFEf+ia3D6k0+I0xXRJDqsSiKLGUIglZYuM5PeJLjsydGplDjLhOi1iRIlPKZnwJkbnSIT5liKvymCENU6eIkKblqhsydzkNslUSs0iDAP3kRlWGEAJKEL9QpgyHsqCenEt4ckqdpJg2iTWdsSC25Y8hVWJJSgB2lieUIPGcHgkpR3IRIxalyFghAvSXInMKEUsyxEcqZE4R0lUW08rQkpiNAdOSpKEEiRGHzZKTFyou0iiAjZsZV+QqlnIQR6mlTWJPmcQkTCzLEmtpEgvLE6rMxqMgaZIjgDtBMmdqxIcYcSVFgHFiZMry+E6JjBUifWVI13z7CKC+MsRliUxbKmQOEdI0v7aymEUapLVBKlAvOA5ie2QYQipQgiw4hu0TJCdL6FKoAOlKFZb2bJOjREk5fTI2HmpRnsRcXhWLMLEqS6yVM4VOk4RIkRgQJNbliGsxYi0tEkKKzC1EQqRDDlU+TNcJkan9QvqmQuqkzFQR0meo3d5pkD4lMcujx1CGkBJKkDrmOkFykCtMqTTDVEpBThIl5XVNRZ7EmDaJQZgMOT58HhMWUhxA2OUIkSLxJEjmTo/MIUfqxAgwXo64EiMu0iKupMgYIQL0kyJzCJGh6ZCxpTJj+4VMTYXUvX6sCOkqi+mVBulTEpNNU1Sg+GbffSPq1KAE8QnlyjBcp1SANMSKK5kC2LihG0pOqZwUS3hilyexpU1ikDzW0iVWUiWhRIlvSdImSABnkmTO9IgvOWJNjPiSIr5SIqGEyNRSmSn9QoakQrrKY1yLkF5U0yBVFvdGy5sk1XsmMhhKkBSY02ymdrGgWNlJrkIlh1ROaimUmOVJTOLEsjSxli6xIEtCiBLfoxLNnCKZMz3iWo64TI3UiRFgmByZmhbxKUWGpkRCC5EpMgRYFSJNMmRIKqRPecxyL5UpImRQGgTYec9y59LzHBmGLEEJsuAYpp0gFj5oz8Hc0bEUJAvFSoFLoQLYuwmvI2WZkopEifW6HksfGqvSxJIwCS1LLIoSV9t85hTJXIKkSY4A4wTJ3HLElxgZ+95zS5EhsmaoEBmbDhnbN2SMDJlaHjNGhGyvR70IWaGpJGYdO3s+UoaQEkoQV/g8qVISLpQs9cwhVoC45EpOUiVFmZJC2VKMAsW6PLGYirEyFHXIXi++RY2vNMmMkqRNkADjJYnL9IgrOTI1NeJbjCxLEaBbjIyVIlOFiItymTGlMkNkyJRUSFVwVOfbJUK6ymJ2pEGA7mvYoilqSvdQZBKUIDFC4dIfH02QYhItc8kVwL5gcS1VgPA36cukVt4Us0iZep22OrrKMlaaiC4z53JZkCahhIlPWeJDlASSJGMEicv0SJMcAYYJkimpEZdiZI60SN9+In2XpU8/lanlMm3pkDllSFsqpK1PSF8R0lUWs0XdKXIQmTVFBYCjAO4IvRDmoQRZMNfxctIM8/RJiNhYbOLF14XVumyZU7AANiVLymIllSROrCkbF9deS30x6gjdK6OOEI1G63DaU2PAtK7W35csmbupbpckAUaJEtcpEh+CpK8cmZIaqRMjQP+haYe83xApspwSAZrFyBgpMkaIjE2HNPUNmSJDulIhbX1CuobP7RIhANrTIBvYLpPJToaQNihB5ia0iItRwlC81OPzwm1RuOQiWeYQKwtiGqWkC+u9L9qw2BejiTmvjRb7zliRJ6HSJr57vPgSNHOmSmYQJS4lSZsgAfpLkqnpEd9yZKgYGVpC07d8po8U6UqJdM2jTYgMTYccrky/uyXhUSz3emuJTFsqpEuE9GmUCmBnGqTuGnEQhSFZ9AOx+PmWBIESZMExdN9kxnjihJYwC6zLmJCNkiwKGN+m3MK5NbdkWRBStqQkWGJO4cQkVCyLFEsSJXQiJtToST6lydzCZM5muo5FSZckAfqLEheSZIogaZIjwLBRWRYMFSNt7zNEjMwlRYamRMYIkSHpkFWx0a9Epi4VUp1XXxGyY32W0yB1n12r6Y9dYBKEbEEJMgTLJ46Fm8g2rMgYwJ6QCd2p2oKECXFuhTpnfMkWwK9wmVOwAHZ7T/TBYtlHE1bKQZoIVSZSh+/SkTmWwbc88dXfZW45M0cZTh9RAvSWJa5EyVRJMocg6duMtIqr1EhfMdK3hKZLikxJiUwRIlNlyJhUSHWaqghZPLdYn+WyGKyjuTfI4lxdyBDr90vEG5QgC/oOkWvhhrEOy4IGsHXRsSRkgPBSJrSEAcKcVyHPGV/ng0/hAswrXeaWLAsslVj0xUqioQ2fo4r0xXcKoglf6QiX7+1TnvgQJ3NJkznSJQ5liQtRMkWStAkSoFmSjEmPNMkRoDtt0TV/l2LEpRRpEiLLy1cnROrSIXWlMlNkSFcqpKlZarFMq2UxW+9ePZ93YbsvSDZD5B6D/w+A8UEJMpSYT56QAse6pKniW9hYkzJVfAkaa+fV3OdK6PNhrmM8xN9c1+LFl2wBbCQJ+uBiOS3KFdfXHZ/piCbmvvmf+p6+Rk2au7fLHGLGdR+YvrIEaBUmfUQJ0CxLuiQJ0CxKxkiSNkEC9OvJsWPZOiRF03zrxAiwKke6xEhXSqVNioxJiYwVIsvy5UjlNWvYrJUhfVIh1fVqEiE4HlujxWDHO2Pn6DAcIpdUoARZcAxhbkZ9pgCs3WiOwcfFK/QN6hjmuqm1LGgWzHEOWTxXXB77Vo5xF8dtyC87pgoYn8IFGC8MLKdwLAmgua4bg0oqHL7vnEJg7PvNLVHmLE1yLU5cShMHwmSKLBkrSrokCbAqSoZKkr6CpG86pY8cmSJG2vqkNEmRppTIUCHSJx1SlSFjUiFdImSFakPUTdj5/EOCQwmyIFRj1BhuMqfi8ibV4s3pFFzd2MZ+UZ9ybsV2Do09H6wf+2OOZWvH7dDj0ELadIiI8S1dFvi+me5Ln+XysUyuEwJDaL0xnuH92tbVh8BxtS3rttscpUkupYyrEqYhwgRYkSZ9ZQmwU5j0ESXAqiwZKkqGSBKXgqRLjtSJEWBbjowRI02vqZMih5b+2OzB4RUhMiQd0kVVeHQtZ1WEFG9RkwapjhJDCChBhmHtA3to+l5IYrtJdUWfm13rN7Yu6HNznNK51XVexHw+tB3TMR3LTcek5eOw6biyIGKq1N1vhJIvVVzfYI4l9HK4ujHuy8oN9IzvVV23uQXOHDLFdWmSK4EyVZ4MlSbAljgZIkyAQpr0lSXAtjDpI0qAQpZ0SRJgZ7Kh9f0bRER1Pk1yBMDWsLF1rLfMu2n56panrxQZQlWINKVD6l5TTYU0UidCqr1Aho1WTRKGEmTB9xHXh3gLVLcXa+xWqd5Q5WyeFzf9oRvA+mJxXqR4TiyO6diP5zsQ3/EYy3Fltfv+YYQdnnrBAfgfTjrk+4deX+u43j53ws01Ivh+GyFOMNwJHz6wp/dQwoPo9h9kTpZFSLUMxvKXHc44CuB7oRfCPMlKEBE5D8AbUJwKf66qv9/5ottmWphkt3IF199ux3aD0sWcEdxYcPGHx+LNVRNTzwnL54DvYTXnYMzxaOH4G3JchTqG5hgRwwV99/nc+7nPnVrIkZZc3/z6er+293HxHk3H9VyjDLns4TNmXnXrO7U/zdjSuN6j8SzJkx7Le7iaVOkYUaeaTGmTJ9U0SuvoOIsERI9RcNoauraNbtM2mk1Tk9a6/iN1ZUDLJT/LvU+WG65W+4pU+4nsrm2Wur6VElkkROp6gyyWZ2UbVEXIAQD3APBN2Pg7njgici8AbwNwTwAK4CJVfcPSNILiPv3JAA4BeJ6qXu11OVXV5/t5QUSOB/BFAE8AcBOAKwA8S1U/1/yahylwmacljJ0TQy+AfXIQX32wfCM/B5Zu8l2TwgeHWI/HWI4rqysXbnEAAA/LSURBVMeIpf0ecl+G2D++0jdzpxbmmr/r+bo6vlws15R5jFmPMe835DVDlqnH8MR9EihtAgVolidA81DBQL00aXpN3VC/y8P61r12+T2qv6/Oc0/FCq9XalUWYmTxusWQu3tWnj+y9fMeHNr6/24cwjqOYDcO4eRD38X6N1AkQr4JyP+Iq1T1nJWVSASR0xV40Yzv8But209ETgNwmqpeLSInAbgKwNOq9+Ei8mQAv4JCgjwSwBtU9ZEzLvQKqd6qPQLAflW9EQBE5O0AzgfQKEGAIwC+6mHRmrCQ042Ju4VegHbuCvGmBo+hudJVtWQg50Jesb8103x93qB+Z4Z5xiIoFsx5I+ziGJnjeJi63y3sYxf7bcz+8S2Qxm7rbw+Ydsy27Lvt5vgz7FKU9J1X2/acOo8p51Pbeze939DXDJIdTfNdSqTUTHd4eZqa911RHEty5bs4eevnZalyO/Zt/dwkU5YlyuI1VWGxYz4tYmMx3bI0WQiT27Fva/rFtGs4snV5Xvxu8frbsA97cBi3Y9+WHNmNw7gdJ2MPDuF27MMaNremWe4Zsvh5E2vAHmDPvQ/jbrceGVtpRQagqrcAuKX8+Q4R+TyA07HzPvx8AG/TIo1xmYjsE5HTytd6IVUJcjqAr1X+fxMKy9TCHQA+Xv5s6Wuj2BjWxCo/eGyZF1iz4Gi/B5FrbTj4xO9VlDUR4zFpUHquYFRMWvnkE/LPQQix4yuJMud2nWu7ud42rrbB1PWdsl5jL3FDpdFc0/fZdn3mtWOamjv48n0O1/1u7+J39c9/t2Feq/NZlSjL0mVZtCwLlrakyLIAAbblSfV1a5Xndm+lPw7vkCRFGqSQI4tkyCn4NvYdfzt2n3oI+069HTVrTmZCRM4E8BAAly/9qu5e/XSU8sQHVj4KBEFEXgjgheV/DwC/+IWQy0MGcQqGffdD7MF9GD/ch3GT5/6zIhPdCMA892FacB/GT3b7cFmsLP/fuGb44dALMC9fvwT4jVNmfINdInJl5f8XqepFyxOJyF4AfwfgV1XVXKfWVCXIzQDuVfn/GeVzOyh32MpOI/YRkStTrufLAe7D+OE+jBvuv/jhPowf7sP44T4kllDV80Ivg4iciEKA/LWqvrtmkl736nNynM8388gVAM4SkfuIyBqACwFcHHiZCCGEEEIIIYSQJClHfvkLAJ9X1T9smOxiAM+RgkcB+K7PfiBAokkQVb1LRF4C4BIUgyS9WVVvCLxYhBBCCCGEEEJIqjwawLMBXCci15TP/XsA9wYAVX0TgA+gGBlmP4ohcp/veyGTlCAAoKofQLGBSZqwjCl+uA/jh/swbrj/4of7MH64D+OH+5CQElX9JADpmEYBvNjPEtUjxTIQQgghhBBCCCGEpE2qPUEIIYQQQgghhBBCdkAJQkwgIueJyBdEZL+IvKLm9+si8o7y95eX405DRJ4gIleJyHXlv4+rvOZj5TyvKR/38LdGeTFh/50pIocr++hNldc8rNyv+0XkT8pGS2QmJuzDf1vZf9eIyDERObv8Hc9Bj/TYhz8lIleLyF0icsHS754rIl8qH8+tPM/z0CNj96GInC0inxKRG0TkWhF5ZuV3bxGRr1TOw7N9rU9uTDwHj1b20cWV5+9TXnP3l9fgNR/rkisTzsHHLv0tvFNEnlb+jucgIdZQVT74CPpA0bz2ywDuC2ANwGcBPGBpmhcBeFP584UA3lH+/BAAP1T+/EAAN1de8zEA54Rev9QfE/ffmQCub5jvpwE8CkVd4QcBPCn0uqb6mLIPl6Z5EIAvV/7Pc9DWPjwTwIMBvA3ABZXnfwDAjeW/J5c/n1z+judhHPvwfgDOKn/+IQC3ANhX/v8t1Wn5sLf/yt8daJjvOwFcWP78JgC/HHpdU31M3YeVaX4AwK0A9pT/5znIBx/GHkyCEAs8AsB+Vb1RVY8AeDuA85emOR/AW8uf3wXg8SIiqvoZVf16+fwNAHaLyLqXpSYLRu+/phmKyGkA7qaql6mqoviw8TT3i05KXO3DZ5WvJf7p3Ieq+lVVvRbAsaXXPhHApap6q6reBuBSAOfxPPTO6H2oql9U1S+VP38dwDcBnOpnsUnJlHOwlvIa+zgU11yguAbzHJwPV/vwAgAfVNVD8y0qIWQKlCDEAqcD+Frl/zeVz9VOo6p3AfgugB9cmubpAK5W1c3Kc39ZRg//D8a4Z2Pq/ruPiHxGRD4uIj9Zmf6mjnkSd7g6B58J4G+XnuM56Ic++3Doa3ke+mXKPtxCRB6B4lvsL1ee/t2yTOaP+EXBbEzdf7tE5EoRuWxRRoHiGnt7ec0dM08yDCfnIIq05PLfQp6DhBiCEoQkgYj8GIDXAfilytP/VlUfBOAny8ezQywbaeUWAPdW1YcAeCmAvxGRuwVeJjICEXkkgEOqen3laZ6DhHikTO/8vwCer6qLb6pfCeBHATwcRUz/5YEWj7Tzw6p6DoCfA/DHIvIjoReIDKc8Bx8E4JLK0zwHCTEGJQixwM0A7lX5/xnlc7XTiMgJAO4O4Dvl/88A8B4Az1HVrW++VPXm8t87APwNipgjcc/o/aeqm6r6HQBQ1atQfHN5v3L6MzrmSdwx6RwsWfnmi+egV/rsw6Gv5Xnolyn7EKVAfj+AV6nqZYvnVfUWLdgE8JfgeTgXk/Zf5Xp5I4p+Sg9BcY3dV15zB8+TDGbSPix5BoD3qOr3F0/wHCTEHpQgxAJXADir7IC+huJm6uKlaS4GsBix4AIAH1FVFZF9KD70vUJV/2kxsYicICKnlD+fCOApAK4HmYMp++9UETkeAETkvgDOAnCjqt4C4Hsi8qiyhOI5AN7rY2UyZfQ+BAAROQ7FB7+tfiA8B73TZx82cQmAc0XkZBE5GcC5AC7heeid0fuwnP49AN6mqu9a+t1p5b+Cop8Ez8N5mLL/Tl6USJTXzUcD+Fx5jf0oimsuUFyDeQ7Ox5Tr6IJnYekLAZ6DhBgkdGdWPvhQVQB4MoAvokgCvKp87jUAnlr+vAvAfwawH8VoBfctn/8NAAcBXFN53APABoCrAFyLomHqGwAcH3o9U31M2H9PL/fPNQCuBvAzlXmeg+KDwpcBvBGAhF7PlB9j92H5u8cAuGxpfjwH7e3Dh6OocT+I4hvmGyqv/YVy3+5HUUqxeJ7nYQT7EMDPA/j+0t/Cs8vffQTAdeV+/CsAe0OvZ6qPCfvvfyj30WfLf19Qmed9y2vu/vIavB56PVN+TLyOnokiOXLc0jx5DvLBh7GHqCoIIYQQQgghhBBCUoflMIQQQgghhBBCCMkCShBCCCGEEEIIIYRkASUIIYQQQgghhBBCsoAShBBCCCGEEEIIIVlACUIIIYQQQgghhJAsoAQhhBCSJSLyKhG5QUSuFZFrROSR5fNfFZFTAi7X68vlev3S888TkW+Vy3qNiLzN0fv1Xl8ReYuIfKV8/8+KyONdLMNYRGSfiLxoxOteLSK/NscyEUIIIcQ2J4ReAEIIIcQ3IvJvADwFwENVdbOUAGsO5nuCqt41cTYvBPADqnq05nfvUNWXTJz/VF6mqu8SkccCuAjAWQGXZR+AFwH4jwGXgRBCCCERwSQIIYSQHDkNwLdVdRMAVPXbqvr1yu9/RUSuFpHrRORHAUBEHiEinxKRz4jIfxWR+5fPP09ELhaRjwD4sIhsiMibReTT5bTnL7+5FLxeRK4v3+OZ5fMXA9gL4KrFc22IyGNE5H2V/79RRJ5X/vxVEfntmvX4QRH5hzJt8ucApHx+Q0TeXyY8ru/x/p8CcHr52uPL9bmiTNb8UmU93ygiXxCRD4nIB0TkgsrynVL+fI6IfKyyHCvbT0R+rHzumvI9zgLw+wB+pHzu9eV0L6ssx29Xts2rROSLIvJJAPfv2raEEEIISRMmQQghhOTIPwD4TRH5IoAPoUhYfLzy+2+r6kPLUotfA/C/APhvAH5SVe8Skf8JwO8BeHo5/UMBPFhVbxWR3wPwEVX9BRHZB+DTIvIhVT1Ymf//DOBsAD8O4BQAV4jIJ1T1qSJyQFXPbljuZ4rIT5Q/vwHAVzrWs249fgvAJ1X1NSLy0wBeUE57HoCvq+pPA4CI3L1j3ucB+C/lzy8A8F1VfbiIrAP4JxH5BwAPQSEcHgDgngA+B+DNHfN9FWq2H4D/FcAbVPWvRWQNwPEAXgHggYvtJSLnokimPAKF3LlYRH4KwEEAF6LY5icAuBrAVR3LQQghhJAEoQQhhBCSHap6QEQeBuAnATwWwDtE5BWq+pZykneX/16FQlgAwN0BvLVMICiAEyuzvFRVby1/PhfAUys9J3YBuDeAz1em/wkAf1uWvHxDRD4O4OEALu5Y9B3lMCLymI7p69bjpxY/q+r7ReS28vnrAPyBiLwOwPtU9R8b5vn6UvScAeDflM+dC+DBi5QHim11Vvlei/X8epmW6aJp+30KwKtE5AwA71bVL4lI3WvPBfCZ8v97y+U4CcB7VPUQsJW4IYQQQkiGUIIQQgjJkvLG/GMAPiYi1wF4LoC3lL/eLP89iu2/la8F8FFV/VkRObN87YJqykMAPF1VvzDHci9xF3aWtu5a+n3detSiql8UkYcCeDKA3xGRD6vqa2omXfQE+RUUqY6HoVjnX1HVS6oTisiTey57dbmbtt/nReRyAD8N4ANlyc2NS9MIgP9TVf+fpeX41ZblIIQQQkhGsCcIIYSQ7BCR+5eJjgVnA/jnjpfdHcDN5c/Pa5nuEhQ9RRa9Nh5SM80/oihtOV5ETkWRmPh0n2Vf4p8BPEBE1svSkT6jtXwCwM+Vy/YkACeXP/8QgEOq+lcAXo+ixKeNNwI4TkSeiGKdf1lETizndT8R2Sjfa7Gep6FI3Sz4KgqBAmyXFQEN209E7gvgRlX9EwDvBfBgAHegSHlUX/sLIrK3fM3pInKPcjmeJiK7ReQkAD/TvZkIIYQQkiJMghBCCMmRvQD+71Ic3AVgP4pRWdr4DyjKYX4DwPtbpnstgD8GcK2IHIeib8dTlqZ5D4pSks+iKK35dVX916EroapfE5F3Ari+fJ/PdLwEAH4bwN+KyA0A/iuAfymffxCKUpdjAL4P4Jc73ltF5HcA/DqAJwA4E8DVpbz4FoCnoVjPx6HoBfIvKEpaqsvxFyLyWuxM1TRtv2cAeLaIfB/AvwL4vbIHyz+JyPUAPqiqLxOR/x7Ap0qHcgDAz6vq1SLyDhTb+5sAruixnQghhBCSIKKqoZeBEEIIIRkgIm9B0W/kXaGXhRBCCCF5wnIYQgghhBBCCCGEZAGTIIQQQgghhBBCCMkCJkEIIYQQQgghhBCSBZQghBBCCCGEEEIIyQJKEEIIIYQQQgghhGQBJQghhBBCCCGEEEKygBKEEEIIIYQQQgghWUAJQgghhBBCCCGEkCz4/wFGKrOEN1VcggAAAABJRU5ErkJggg==\n",
|
||
"text/plain": [
|
||
"<Figure size 1440x1440 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"trigger_grid(supply_sweep, alpha_sweep)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Resolving Passed Proposals\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"## Social Systems Modeling\n",
|
||
"\n",
|
||
"Subjective, exploratory modeling of the social system interacting through the conviction voting algorithm.\n",
|
||
"\n",
|
||
"### Sentiment\n",
|
||
"\n",
|
||
"Global Sentiment -- the outside world appreciating the output of the community\n",
|
||
"Local Sentiment -- agents within the system feeling good about the community\n",
|
||
"\n",
|
||
"### Social Networks\n",
|
||
"\n",
|
||
"Preferences as mixing process (social influence)\n",
|
||
"\n",
|
||
"### Relationships between Proposals\n",
|
||
"\n",
|
||
"Some proposals are synergistic (passing one makes the other more desireable)\n",
|
||
"Some proposals are (parially) substitutable (passing one makes the other less desirable)\n",
|
||
"\n",
|
||
"### Notion of Honey supply\n",
|
||
"#### Total supply = $S$\n",
|
||
"#### Effective supply = $E$\n",
|
||
"#### Funding Pool = $F$\n",
|
||
"#### Other supply = $L$, effectively slack. Funds could be in cold storage, in liquidity pools or otherwise in any address not actively participating in conviction voting.\n",
|
||
"$$S = F + E + L$$ \n",
|
||
"\n",
|
||
"System has the right to do direct mints:\n",
|
||
"$$F^+ = F + minted$$\n",
|
||
"$$S^+ = S + minted$$\n",
|
||
"\n",
|
||
"\n",
|
||
"Arrival of new funds which come from outside:\n",
|
||
"$$L+ = L - donated$$\n",
|
||
"$$F+ = F + donated$$\n",
|
||
"The above assumes the donated tokens were not in use for voting\n",
|
||
"$$L+ = L + tokens$$ that haven't been used in voting recently\n",
|
||
"$$E+ = E - tokens$$ that haven't been used in voting recently\n",
|
||
"$$L+ = L - tokens$$ that come into use\n",
|
||
"$$E+ = E - tokens$$ that come into use\n",
|
||
"\n",
|
||
"Tokens in $L$ or $E$ are defined at the level of the account holding them.\n",
|
||
"\n",
|
||
"Total supply $S$ can be made a param and the state supply should be only $E$, effective supply."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## cadCAD Overview\n",
|
||
"\n",
|
||
"In the cadCAD simulation [methodology](https://community.cadcad.org/t/differential-specification-syntax-key/31), we operate on four layers: **Policies, Mechanisms, States**, and **Metrics**. Information flows do not have explicit feedback loop unless noted. **Policies** determine the inputs into the system dynamics, and can come from user input, observations from the exogenous environment, or algorithms. **Mechanisms** are functions that take the policy decisions and update the States to reflect the policy level changes. **States** are variables that represent the system quantities at the given point in time, and **Metrics** are computed from state variables to assess the health of the system. Metrics can often be thought of as KPIs, or Key Performance Indicators. \n",
|
||
"\n",
|
||
"At a more granular level, to setup a model, there are system conventions and configurations that must be [followed.](https://community.cadcad.org/t/introduction-to-simulation-configurations/34)\n",
|
||
"\n",
|
||
"The way to think of cadCAD modeling is analogous to machine learning pipelines which normally consist of multiple steps when training and running a deployed model. There is preprocessing, which includes segregating features between continuous and categorical, transforming or imputing data, and then instantiating, training, and running a machine learning model with specified hyperparameters. cadCAD modeling can be thought of in the same way as states, roughly translating into features, are fed into pipelines that have built-in logic to direct traffic between different mechanisms, such as scaling and imputation. Accuracy scores, ROC, etc. are analogous to the metrics that can be configured on a cadCAD model, specifying how well a given model is doing in meeting its objectives. The parameter sweeping capability of cadCAD can be thought of as a grid search, or way to find the optimal hyperparameters for a system by running through alternative scenarios. A/B style testing that cadCAD enables is used in the same way machine learning models are A/B tested, except out of the box, in providing a side by side comparison of muliple different models to compare and contrast performance. Utilizing the field of Systems Identification, dynamical systems models can be used to \"online learn\" by providing a feedback loop to generative system mechanisms. \n",
|
||
"\n",
|
||
"\n",
|
||
"## Differential Specification \n",
|
||
"\n",
|
||
"\n",
|
||
"## File structure\n",
|
||
"* ```Aragon_Conviction_Voting_Model.ipynb```\n",
|
||
"* model\n",
|
||
"\n",
|
||
"In the model folder there exist 4 files and folder, the [```config.py```](model/config.py), [```partial_state_update_block.py```](model/partial_state_update_block.py), [```run.py```](model/run.py), and [```state_variables.py```](model/state_variables.py). The [```config.py```](model/config.py) contains the simulation configurations, aggregating the partial states, and the state variables. The [```partial_state_update_block.py```](model/partial_state_update_block.py) contains the partial state update blocks and how they update the state variables. [```state_variables.py```](model/state_variables.py) defines the state variables and [```run.py```](model/run.py) actually runs the simulation.\n",
|
||
"\n",
|
||
"The mechanisms of the model live within the parts subfolder as:\n",
|
||
"* [```system.py```](model/parts/system.py)\n",
|
||
"* [```participants.py```](model/parts/participants.py)\n",
|
||
"* [```proposals.py```](model/parts/proposals.py)\n",
|
||
"\n",
|
||
"The initial parameters and hyperparameters of the system are defined in [```sys_params.py```](model/sys_params.py) and helper functions, plots, trigger function, etc are in the [```utils.py```](model/utils.py)\n",
|
||
"\n",
|
||
"## Schema of the states \n",
|
||
"The model consists of a temporal in memory graph database called *network* containing nodes of type **Participant** and type **Proposal**. Participants will have *holdings* and *sentiment* and Proposals will have *funds_required, status*(candidate or active), *conviction* Tthe model as three kinds of edges:\n",
|
||
"* (Participant, participant), we labeled this edge type \"influencer\" and it contains information about how the preferences and sentiment of one participant influence another \n",
|
||
"* (Proposal, Proposal), we labeled this edge type \"conflict\" and it contains information about how synergistic or anti-synergistic two proposals are; basically people are likely to support multiple things that have synergy (meaning once one is passed there is more utility from the other) but they are not likely to pass things that have antisynergy (meaning once one is passed there is less utility from the other).\n",
|
||
"* The edges between Participant and Proposal, which are described below.\n",
|
||
" \n",
|
||
"\n",
|
||
"Edges in the network go from nodes of type Participant to nodes of type Proposal with the edges having the key *type*, of which all will be set to *support*. Edges from participant $i$ to proposal $j$ will have the following additional characteristics:\n",
|
||
"* Each pairing (i,j) will have *affinity*, which determines how much $i$ likes or dislikes proposal $j$.\n",
|
||
"* Each participant $i$, assigns its $tokens$ over the edges (i,j) for all $j$ such that the summation of all $j$ such that ```Sum_j = network.edges[(i,j)]['tokens'] = network.nodes[i]['holdings']```. This value of tokens for participants on proposals must be less than or equal to the total number of tokens held by the participant.\n",
|
||
"* Each pairing (i,j) will have *conviction* local to that edge whose update at each timestep is computed using the value of *tokens* at that edge.\n",
|
||
"* Each proposal *j* will have a *conviction* which is equal to the sum of the conviction on its inbound edges: ```network.nodes[j]['conviction'] = Sum_i network.edges[(i,j)]['conviction']```. \n",
|
||
"\n",
|
||
"\n",
|
||
"The other state variables in the model are *funds*, *sentiment*, *effective_supply*, and *total_supply*.\n",
|
||
"\n",
|
||
"The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
|
||
"\n",
|
||
" \n",
|
||
"## Partial State Update Blocks \n",
|
||
"\n",
|
||
"Each partial state update block is kind of a like a phase in a phased based board game. Everyone decides what to do and it reconciles all decisions. One timestep is a full turn, with each block being a phase of a timestep or turn. We will walk through the individaul Partial State update blocks one by one below."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
"{\n",
|
||
"# system.py: \n",
|
||
"'policies': { \n",
|
||
" 'random': driving_process\n",
|
||
"},\n",
|
||
"'variables': {\n",
|
||
" 'network': update_network,\n",
|
||
" 'effective_supply':increment_supply,\n",
|
||
"}\n",
|
||
"```\n",
|
||
"\n",
|
||
"To simulate the arrival of participants and proposal into the system, we have a driving process to represent the arrival of individual agents. We use a random uniform distribution generator, over [0, 1), to calculate the number of new participants. We then use an exponential distribution to calculate the particpant's tokens by using a loc of 0.0 and a scale of expected holdings, which is calculated by .1*supply/number of existing participants. We calculate the number of new proposals by \n",
|
||
"```\n",
|
||
"proposal_rate = 1/median_affinity * (1+total_funds_requested/funds)\n",
|
||
"rv2 = np.random.rand()\n",
|
||
"new_proposal = bool(rv2<1/proposal_rate)\n",
|
||
"```\n",
|
||
"The network state variable is updated to include the new participants and proposals, while the *effective_supply state variable is updated for the additiona of new particpant's funds. \n",
|
||
"```\n",
|
||
" {\n",
|
||
" 'policies': { \n",
|
||
" 'random': minting_rule\n",
|
||
" },\n",
|
||
" 'variables': {\n",
|
||
" 'total_supply': mint_to_supply,\n",
|
||
" 'funds':mint_to_funds,\n",
|
||
"\n",
|
||
" }\n",
|
||
"},\n",
|
||
"```\n",
|
||
"A behavior called *minting_rule* is included to record the general expansion of system supply every day. The *total_supply* and *funds* state variables are incrased with these minted values.\n",
|
||
"[To see the partial state update's code, click here](model/parts/system.py)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
"{\n",
|
||
" # participants.py \n",
|
||
" 'policies': {\n",
|
||
" 'completion': check_progress \n",
|
||
" },\n",
|
||
" 'variables': { \n",
|
||
" 'sentiment': update_sentiment_on_completion, #not completing projects decays sentiment, completing bumps it\n",
|
||
" 'network': complete_proposal\n",
|
||
" }\n",
|
||
"},\n",
|
||
"```\n",
|
||
"\n",
|
||
"In the next phase of the turn, [to see the logic code, click here](model/parts/participants.py), the *check_progress* behavior checks for the completion of previously funded proposals. The code calculates the completion and failure rates as follows:\n",
|
||
"\n",
|
||
"```\n",
|
||
"likelihood = 1.0/(base_completion_rate+np.log(grant_size))\n",
|
||
"\n",
|
||
"failure_rate = 1.0/(base_failure_rate+np.log(grant_size))\n",
|
||
"if np.random.rand() < likelihood:\n",
|
||
" completed.append(j)\n",
|
||
"elif np.random.rand() < failure_rate:\n",
|
||
" failed.append(j)\n",
|
||
"```\n",
|
||
"With the base_completion_rate being 100 and the base_failure_rate as 200. \n",
|
||
"\n",
|
||
"The mechanism then updates the respective *network* nodes and updates the sentiment variable on proposal completion. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
" # proposals.py\n",
|
||
" 'policies': {\n",
|
||
" 'release': trigger_function \n",
|
||
" },\n",
|
||
" 'variables': { \n",
|
||
" 'funds': decrement_funds, \n",
|
||
" 'sentiment': update_sentiment_on_release, #releasing funds can bump sentiment\n",
|
||
" 'network': update_proposals \n",
|
||
" }\n",
|
||
"},\n",
|
||
" ```\n",
|
||
" \n",
|
||
"The [trigger release function](model/parts/proposals.py) checks to see if each proposal passes or not. If a proposal passes, funds are decremented by the amount of the proposal, while the proposal's status is changed in the network object."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
"{ \n",
|
||
" # participants.py\n",
|
||
" 'policies': { \n",
|
||
" 'participants_act': participants_decisions\n",
|
||
" },\n",
|
||
" 'variables': {\n",
|
||
" 'network': update_tokens \n",
|
||
" }\n",
|
||
"}\n",
|
||
"```\n",
|
||
"\n",
|
||
"The Participants decide based on their affinity if which proposals they would like to support,[to see the logic code, click here](model/parts/participants.py). Proposals that participants have high affinity for receive more support and pledged tokens than proposals with lower affinity and sentiment. We then update everyone's holdings and their conviction for each proposal.\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Model next steps\n",
|
||
"\n",
|
||
"The the model described above is the third iteration model that covers the core mechanisms of the Aragon Conviction Voting model. Below are next additional dynamics we can attend to enrich the model, and provide workstreams for subsequent iterations of this lab notebook.\n",
|
||
"\n",
|
||
"* Add a uniswap instance\n",
|
||
"* Mixing of token holdings among participants\n",
|
||
"* Departure of participants\n",
|
||
"* Proposals which are good or no good together\n",
|
||
"* Affects of outcomes on sentiment"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Simulation"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Configuration\n",
|
||
"Let's factor out into its own notebook where we review the config object and its partial state update blocks."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Params (config.py) : {'beta': 0.2, 'rho': 0.0025, 'alpha': 0.875, 'gamma': 0.001, 'sensitivity': 0.75, 'tmin': 1, 'min_supp': 1, 'base_completion_rate': 45, 'base_failure_rate': 180, 'base_engagement_rate': 0.3, 'lowest_affinity_to_support': 0.3}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from model import config"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# pull out configurations to illustrate\n",
|
||
"sim_config,state_variables,seeds,partial_state_update_blocks = config.get_configs()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[{'N': 1,\n",
|
||
" 'T': range(0, 100),\n",
|
||
" 'M': {'beta': 0.2,\n",
|
||
" 'rho': 0.0025,\n",
|
||
" 'alpha': 0.875,\n",
|
||
" 'gamma': 0.001,\n",
|
||
" 'sensitivity': 0.75,\n",
|
||
" 'tmin': 1,\n",
|
||
" 'min_supp': 1,\n",
|
||
" 'base_completion_rate': 45,\n",
|
||
" 'base_failure_rate': 180,\n",
|
||
" 'base_engagement_rate': 0.3,\n",
|
||
" 'lowest_affinity_to_support': 0.3},\n",
|
||
" 'subset_id': 0,\n",
|
||
" 'subset_window': deque([0, None]),\n",
|
||
" 'simulation_id': 0,\n",
|
||
" 'run_id': 0}]"
|
||
]
|
||
},
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"sim_config"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[{'policies': {'random': <function model.parts.system.driving_process(params, step, sL, s)>},\n",
|
||
" 'variables': {'network': <function model.parts.system.update_network(params, step, sL, s, _input)>,\n",
|
||
" 'effective_supply': <function model.parts.system.increment_supply(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'random': <function model.parts.system.minting_rule(params, step, sL, s)>},\n",
|
||
" 'variables': {'total_supply': <function model.parts.system.mint_to_supply(params, step, sL, s, _input)>,\n",
|
||
" 'funds': <function model.parts.system.mint_to_funds(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'completion': <function model.parts.participants.check_progress(params, step, sL, s)>},\n",
|
||
" 'variables': {'sentiment': <function model.parts.participants.update_sentiment_on_completion(params, step, sL, s, _input)>,\n",
|
||
" 'network': <function model.parts.participants.complete_proposal(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'release': <function model.parts.proposals.trigger_function(params, step, sL, s)>},\n",
|
||
" 'variables': {'funds': <function model.parts.proposals.decrement_funds(params, step, sL, s, _input)>,\n",
|
||
" 'sentiment': <function model.parts.proposals.update_sentiment_on_release(params, step, sL, s, _input)>,\n",
|
||
" 'network': <function model.parts.proposals.update_proposals(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'participants_act': <function model.parts.participants.participants_decisions(params, step, sL, s)>},\n",
|
||
" 'variables': {'network': <function model.parts.participants.update_tokens(params, step, sL, s, _input)>}}]"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"partial_state_update_blocks"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Parameters\n",
|
||
"\n",
|
||
"Initial values are the starting values for the simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'initial_sentiment': 0.6,\n",
|
||
" 'n': 30,\n",
|
||
" 'm': 7,\n",
|
||
" 'initial_funds': 4867.21,\n",
|
||
" 'supply': 22392.22}"
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"initial_values"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"$n$ is initial participants, whereas $m$ is initial proposals.\n",
|
||
"\n",
|
||
"Sim_config holds the global hyperparameters for the simulations"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'beta': 0.2,\n",
|
||
" 'rho': 0.0025,\n",
|
||
" 'alpha': 0.875,\n",
|
||
" 'gamma': 0.001,\n",
|
||
" 'sensitivity': 0.75,\n",
|
||
" 'tmin': 1,\n",
|
||
" 'min_supp': 1,\n",
|
||
" 'base_completion_rate': 45,\n",
|
||
" 'base_failure_rate': 180,\n",
|
||
" 'base_engagement_rate': 0.3,\n",
|
||
" 'lowest_affinity_to_support': 0.3}"
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"sim_config[0]['M']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Hyperparameter explanations:\n",
|
||
"* $\\beta$ = .2 Upper bound on share of funds dispersed in the example Trigger Function\n",
|
||
"* $\\rho$ = 0.002 Scale Parameter for the example Trigger Function\n",
|
||
"* $\\alpha$ : 0.875 The decay rate for previously accumulated conviction\n",
|
||
"* $\\gamma$: 0.001 The expansion of supply per per day\n",
|
||
"* sensitivity of participant decisions to changes in affinity \n",
|
||
"* tmin = 1 unit days; minimum periods passed before a proposal can pass\n",
|
||
"* min_supp = 50 number of tokens that must be stake for a proposal to be a candidate\n",
|
||
"* base_completion_rate': 45, \n",
|
||
"* base_failure_rate': [180],\n",
|
||
"* base_engagement_rate' :[0.3],\n",
|
||
"* lowest_affinity_to_support': [0.3],"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Initialization\n",
|
||
"Now we will initialize our model's state variables. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# initialize \n",
|
||
"network = initialize_network(initial_values['n'],initial_values['m'],\n",
|
||
" initial_values['initial_funds'],\n",
|
||
" initial_values['supply'],sim_config[0]['M'])\n",
|
||
"initial_funds = initial_values['initial_funds']\n",
|
||
"\n",
|
||
"genesis_states = { \n",
|
||
" 'network': network,\n",
|
||
" 'funds':initial_values['initial_funds'],\n",
|
||
" 'sentiment': initial_values['initial_sentiment'],\n",
|
||
" 'effective_supply': initial_values['supply']-initial_values['initial_funds'],\n",
|
||
" 'total_supply': initial_values['supply']\n",
|
||
"\n",
|
||
"}\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"#### Exploring the State Data Structure\n",
|
||
"\n",
|
||
"A graph is a type of temporal data structure that evolves over time. A graph $\\mathcal{G}(\\mathcal{V},\\mathcal{E})$ consists of vertices or nodes, $\\mathcal{V} = \\{1...\\mathcal{V}\\}$ and is connected by edges $\\mathcal{E} \\subseteq \\mathcal{V} \\times \\mathcal{V}$.\n",
|
||
"\n",
|
||
"See *Schema of the states* above for more details\n",
|
||
"\n",
|
||
"\n",
|
||
"Let's explore!"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# To explore our model prior to the simulation, we extract key components from our networkX object into lists.\n",
|
||
"proposals = get_nodes_by_type(network, 'proposal')\n",
|
||
"participants = get_nodes_by_type(network, 'participant')\n",
|
||
"supporters = get_edges_by_type(network, 'support')\n",
|
||
"influencers = get_edges_by_type(network, 'influence')\n",
|
||
"competitors = get_edges_by_type(network, 'conflict')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'type': 'participant',\n",
|
||
" 'holdings': 205.35221804104904,\n",
|
||
" 'sentiment': 0.45453013086234006}"
|
||
]
|
||
},
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"#sample a participant\n",
|
||
"network.nodes[participants[0]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0, 0.5, 'Count of Participants')"
|
||
]
|
||
},
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Let's look at the distribution of participant holdings at the start of the sim\n",
|
||
"plt.hist([ network.nodes[i]['holdings'] for i in participants])\n",
|
||
"plt.title('Histogram of Participants Token Holdings')\n",
|
||
"plt.xlabel('Amount of Honey')\n",
|
||
"plt.ylabel('Count of Participants')\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 1.0, 'Participants Social Network')"
|
||
]
|
||
},
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"nx.draw_spring(network, nodelist = participants, edgelist=influencers)\n",
|
||
"plt.title('Participants Social Network')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'type': 'proposal',\n",
|
||
" 'conviction': 0,\n",
|
||
" 'status': 'candidate',\n",
|
||
" 'age': 0,\n",
|
||
" 'funds_requested': 1404.0215339155227,\n",
|
||
" 'trigger': inf}"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"#lets look at proposals\n",
|
||
"network.nodes[proposals[0]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Proposals initially start without any conviction, and with the status of a candidate. If the proposal's amount of conviction is greater than it's trigger, then the proposal moves to active and it's funds requested are granted. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"All initial proposal start with 0 conviction and state 'candidate'we can simply examine the amounts of funds requested"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"funds_array = np.array([ network.nodes[i]['funds_requested'] for i in proposals])\n",
|
||
"conviction_required = np.array([trigger_threshold(r, initial_funds, supply, alpha,sim_config[0]['M']) for r in funds_array])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')"
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"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.bar( proposals, funds_array/initial_funds)\n",
|
||
"plt.title('Bar chart of Proposals Funds Requested')\n",
|
||
"plt.xlabel('Proposal identifier')\n",
|
||
"plt.ylabel('Amount of Honey requested(as a Fraction of Funds available)')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0, 0.5, 'Amount of Conviction')"
|
||
]
|
||
},
|
||
"execution_count": 20,
|
||
"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.bar( proposals, conviction_required)\n",
|
||
"plt.title('Bar chart of Proposals Conviction Required')\n",
|
||
"plt.xlabel('Proposal identifier')\n",
|
||
"plt.ylabel('Amount of Conviction')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Conviction is a concept that arises in the edges between participants and proposals in the initial conditions there are no votes yet so we can look at that later however, the voting choices are driven by underlying affinities which we can see now."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 55.73999999999998, 'Participant_id')"
|
||
]
|
||
},
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 1440x360 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"m = len(proposals)\n",
|
||
"n = len(participants)\n",
|
||
"\n",
|
||
"affinities = np.empty((n,m))\n",
|
||
"for i_ind in range(n):\n",
|
||
" for j_ind in range(m):\n",
|
||
" i = participants[i_ind]\n",
|
||
" j = proposals[j_ind]\n",
|
||
" affinities[i_ind][j_ind] = network.edges[(i,j)]['affinity']\n",
|
||
"\n",
|
||
"dims = (20, 5)\n",
|
||
"fig, ax = plt.subplots(figsize=dims)\n",
|
||
"\n",
|
||
"sns.heatmap(affinities.T,\n",
|
||
" xticklabels=participants,\n",
|
||
" yticklabels=proposals,\n",
|
||
" square=True,\n",
|
||
" cbar=True,\n",
|
||
" cmap = plt.cm.RdYlGn,\n",
|
||
" ax=ax)\n",
|
||
"\n",
|
||
"plt.title('Affinities between participants and proposals')\n",
|
||
"plt.ylabel('Proposal_id')\n",
|
||
"plt.xlabel('Participant_id')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Run simulation\n",
|
||
"\n",
|
||
"Now we will create the final system configuration, append the genesis states we created, and run our simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from cadCAD.configuration import Experiment\n",
|
||
"\n",
|
||
"# Create configuration\n",
|
||
"exp = Experiment()\n",
|
||
"\n",
|
||
"exp.append_configs(\n",
|
||
" sim_configs=sim_config,\n",
|
||
" initial_state=genesis_states,\n",
|
||
" seeds=seeds,\n",
|
||
" partial_state_update_blocks=partial_state_update_blocks\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
" ___________ ____\n",
|
||
" ________ __ ___/ / ____/ | / __ \\\n",
|
||
" / ___/ __` / __ / / / /| | / / / /\n",
|
||
"/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
|
||
"\\___/\\__,_/\\__,_/\\____/_/ |_/_____/\n",
|
||
"by cadCAD\n",
|
||
"\n",
|
||
"Execution Mode: local_proc\n",
|
||
"Configuration Count: 2\n",
|
||
"Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 11, 1, 5)\n",
|
||
"Execution Method: local_simulations\n",
|
||
"SimIDs : [0, 1]\n",
|
||
"SubsetIDs: [0, 0]\n",
|
||
"Ns : [0, 0]\n",
|
||
"ExpIDs : [0, 0]\n",
|
||
"Total execution time: 295.97s\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"from model.parts.utils import *\n",
|
||
"from model import run\n",
|
||
"from cadCAD import configs\n",
|
||
"pd.options.display.float_format = '{:.2f}'.format\n",
|
||
"\n",
|
||
"%matplotlib inline\n",
|
||
"\n",
|
||
"rdf = run.run(configs)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"After the simulation has run successfully, we perform some postprocessing to extract node and edge values from the network object and add as columns to the pandas dataframe. For the rdf, we take only the values at the last substep of each timestep in the simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df= run.postprocessing(rdf,0)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"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>funds</th>\n",
|
||
" <th>sentiment</th>\n",
|
||
" <th>effective_supply</th>\n",
|
||
" <th>total_supply</th>\n",
|
||
" <th>simulation</th>\n",
|
||
" <th>subset</th>\n",
|
||
" <th>run</th>\n",
|
||
" <th>substep</th>\n",
|
||
" <th>timestep</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>funds_requested</th>\n",
|
||
" <th>share_of_funds_requested</th>\n",
|
||
" <th>share_of_funds_requested_all</th>\n",
|
||
" <th>triggers</th>\n",
|
||
" <th>conviction_share_of_trigger</th>\n",
|
||
" <th>age</th>\n",
|
||
" <th>age_all</th>\n",
|
||
" <th>conviction_all</th>\n",
|
||
" <th>triggers_all</th>\n",
|
||
" <th>conviction_share_of_trigger_all</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4889.60</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14020.01</td>\n",
|
||
" <td>22414.61</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2023.8985335003392, 1383.0657869234687, 885.0...</td>\n",
|
||
" <td>[0.28285854854742537, 0.1810120572127376, 0.18...</td>\n",
|
||
" <td>[0.41391885115356875, 0.28285854854742537, 0.1...</td>\n",
|
||
" <td>[inf, 850701.9692844815, 1009658.2631503225, inf]</td>\n",
|
||
" <td>[0.0, 0.0013960996497106308, 3.492302152809813...</td>\n",
|
||
" <td>[1, 1, 1, 1]</td>\n",
|
||
" <td>[1, 1, 1, 1, 1, 1, 1, 1]</td>\n",
|
||
" <td>[0.0, 953.5807774574494, 1187.6647213262083, 3...</td>\n",
|
||
" <td>[inf, inf, 850701.9692844815, 1009658.26315032...</td>\n",
|
||
" <td>[0.0, 0.0, 0.0013960996497106308, 3.4923021528...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4912.02</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14020.01</td>\n",
|
||
" <td>22437.03</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2023.8985335003392, 1383.0657869234687, 885.0...</td>\n",
|
||
" <td>[0.2815678028323018, 0.18018605941831756, 0.18...</td>\n",
|
||
" <td>[0.4120300484771818, 0.2815678028323018, 0.180...</td>\n",
|
||
" <td>[inf, 777718.4969475684, 915125.4456196274, in...</td>\n",
|
||
" <td>[0.0, 0.0028633385488795573, 7.224484378507722...</td>\n",
|
||
" <td>[2, 2, 2, 2, 1, 1]</td>\n",
|
||
" <td>[2, 2, 2, 2, 2, 2, 2, 2, 1, 1]</td>\n",
|
||
" <td>[0.0, 1787.9639577327175, 2226.8713524866407, ...</td>\n",
|
||
" <td>[nan, inf, 777718.4969475684, 915125.445619627...</td>\n",
|
||
" <td>[nan, 0.0, 0.0028633385488795573, 7.2244843785...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4934.45</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14020.01</td>\n",
|
||
" <td>22459.46</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2023.8985335003392, 1383.0657869234687, 885.0...</td>\n",
|
||
" <td>[0.2802875103161102, 0.17936675102767485, 0.18...</td>\n",
|
||
" <td>[0.41015654240793276, 0.2802875103161102, 0.17...</td>\n",
|
||
" <td>[inf, 714227.461598159, 833893.7938611279, inf...</td>\n",
|
||
" <td>[0.0, 0.005392458281027445, 0.0001116560357568...</td>\n",
|
||
" <td>[3, 3, 3, 3, 2, 2, 1]</td>\n",
|
||
" <td>[3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1]</td>\n",
|
||
" <td>[0.0, 2762.051367124017, 3851.4417898322044, 9...</td>\n",
|
||
" <td>[nan, inf, 714227.461598159, 833893.7938611279...</td>\n",
|
||
" <td>[nan, 0.0, 0.005392458281027445, 0.00011165603...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4956.91</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14020.01</td>\n",
|
||
" <td>22481.92</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2023.8985335003392, 1383.0657869234687, 885.0...</td>\n",
|
||
" <td>[0.27901754515876276, 0.17855405151090062, 0.1...</td>\n",
|
||
" <td>[0.4082981487987109, 0.27901754515876276, 0.17...</td>\n",
|
||
" <td>[inf, 658632.291912014, 763553.973192334, inf,...</td>\n",
|
||
" <td>[0.0, 0.008720549889434468, 0.0001528784306217...</td>\n",
|
||
" <td>[4, 4, 4, 4, 3, 3, 2, 1, 1]</td>\n",
|
||
" <td>[4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 2, 2, 1, 1]</td>\n",
|
||
" <td>[0.0, 3724.036509428909, 5743.635760411284, 11...</td>\n",
|
||
" <td>[nan, inf, 658632.291912014, 763553.973192334,...</td>\n",
|
||
" <td>[nan, 0.0, 0.008720549889434468, 0.00015287843...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4979.40</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14020.01</td>\n",
|
||
" <td>22504.41</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2023.8985335003392, 1383.0657869234687, 885.0...</td>\n",
|
||
" <td>[0.2777577835319367, 0.17774788162549154, 0.17...</td>\n",
|
||
" <td>[0.40645468644630556, 0.2777577835319367, 0.17...</td>\n",
|
||
" <td>[inf, 609660.0537822687, 702220.7465638807, in...</td>\n",
|
||
" <td>[0.0, 0.012152542617523193, 0.0001675535588109...</td>\n",
|
||
" <td>[5, 5, 5, 5, 4, 4, 3, 2, 2, 1, 1]</td>\n",
|
||
" <td>[5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 3, 3, 2, 2, 1, 1]</td>\n",
|
||
" <td>[0.0, 4619.543028450615, 7408.919785790502, 11...</td>\n",
|
||
" <td>[nan, inf, 609660.0537822687, 702220.746563880...</td>\n",
|
||
" <td>[nan, 0.0, 0.012152542617523193, 0.00016755355...</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 33 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" network funds sentiment \\\n",
|
||
"5 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4889.60 0.60 \n",
|
||
"10 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4912.02 0.60 \n",
|
||
"15 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4934.45 0.60 \n",
|
||
"20 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4956.91 0.60 \n",
|
||
"25 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4979.40 0.60 \n",
|
||
"\n",
|
||
" effective_supply total_supply simulation subset run substep \\\n",
|
||
"5 14020.01 22414.61 0 0 1 5 \n",
|
||
"10 14020.01 22437.03 0 0 1 5 \n",
|
||
"15 14020.01 22459.46 0 0 1 5 \n",
|
||
"20 14020.01 22481.92 0 0 1 5 \n",
|
||
"25 14020.01 22504.41 0 0 1 5 \n",
|
||
"\n",
|
||
" timestep ... funds_requested \\\n",
|
||
"5 1 ... [2023.8985335003392, 1383.0657869234687, 885.0... \n",
|
||
"10 2 ... [2023.8985335003392, 1383.0657869234687, 885.0... \n",
|
||
"15 3 ... [2023.8985335003392, 1383.0657869234687, 885.0... \n",
|
||
"20 4 ... [2023.8985335003392, 1383.0657869234687, 885.0... \n",
|
||
"25 5 ... [2023.8985335003392, 1383.0657869234687, 885.0... \n",
|
||
"\n",
|
||
" share_of_funds_requested \\\n",
|
||
"5 [0.28285854854742537, 0.1810120572127376, 0.18... \n",
|
||
"10 [0.2815678028323018, 0.18018605941831756, 0.18... \n",
|
||
"15 [0.2802875103161102, 0.17936675102767485, 0.18... \n",
|
||
"20 [0.27901754515876276, 0.17855405151090062, 0.1... \n",
|
||
"25 [0.2777577835319367, 0.17774788162549154, 0.17... \n",
|
||
"\n",
|
||
" share_of_funds_requested_all \\\n",
|
||
"5 [0.41391885115356875, 0.28285854854742537, 0.1... \n",
|
||
"10 [0.4120300484771818, 0.2815678028323018, 0.180... \n",
|
||
"15 [0.41015654240793276, 0.2802875103161102, 0.17... \n",
|
||
"20 [0.4082981487987109, 0.27901754515876276, 0.17... \n",
|
||
"25 [0.40645468644630556, 0.2777577835319367, 0.17... \n",
|
||
"\n",
|
||
" triggers \\\n",
|
||
"5 [inf, 850701.9692844815, 1009658.2631503225, inf] \n",
|
||
"10 [inf, 777718.4969475684, 915125.4456196274, in... \n",
|
||
"15 [inf, 714227.461598159, 833893.7938611279, inf... \n",
|
||
"20 [inf, 658632.291912014, 763553.973192334, inf,... \n",
|
||
"25 [inf, 609660.0537822687, 702220.7465638807, in... \n",
|
||
"\n",
|
||
" conviction_share_of_trigger \\\n",
|
||
"5 [0.0, 0.0013960996497106308, 3.492302152809813... \n",
|
||
"10 [0.0, 0.0028633385488795573, 7.224484378507722... \n",
|
||
"15 [0.0, 0.005392458281027445, 0.0001116560357568... \n",
|
||
"20 [0.0, 0.008720549889434468, 0.0001528784306217... \n",
|
||
"25 [0.0, 0.012152542617523193, 0.0001675535588109... \n",
|
||
"\n",
|
||
" age \\\n",
|
||
"5 [1, 1, 1, 1] \n",
|
||
"10 [2, 2, 2, 2, 1, 1] \n",
|
||
"15 [3, 3, 3, 3, 2, 2, 1] \n",
|
||
"20 [4, 4, 4, 4, 3, 3, 2, 1, 1] \n",
|
||
"25 [5, 5, 5, 5, 4, 4, 3, 2, 2, 1, 1] \n",
|
||
"\n",
|
||
" age_all \\\n",
|
||
"5 [1, 1, 1, 1, 1, 1, 1, 1] \n",
|
||
"10 [2, 2, 2, 2, 2, 2, 2, 2, 1, 1] \n",
|
||
"15 [3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1] \n",
|
||
"20 [4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 2, 2, 1, 1] \n",
|
||
"25 [5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 3, 3, 2, 2, 1, 1] \n",
|
||
"\n",
|
||
" conviction_all \\\n",
|
||
"5 [0.0, 953.5807774574494, 1187.6647213262083, 3... \n",
|
||
"10 [0.0, 1787.9639577327175, 2226.8713524866407, ... \n",
|
||
"15 [0.0, 2762.051367124017, 3851.4417898322044, 9... \n",
|
||
"20 [0.0, 3724.036509428909, 5743.635760411284, 11... \n",
|
||
"25 [0.0, 4619.543028450615, 7408.919785790502, 11... \n",
|
||
"\n",
|
||
" triggers_all \\\n",
|
||
"5 [inf, inf, 850701.9692844815, 1009658.26315032... \n",
|
||
"10 [nan, inf, 777718.4969475684, 915125.445619627... \n",
|
||
"15 [nan, inf, 714227.461598159, 833893.7938611279... \n",
|
||
"20 [nan, inf, 658632.291912014, 763553.973192334,... \n",
|
||
"25 [nan, inf, 609660.0537822687, 702220.746563880... \n",
|
||
"\n",
|
||
" conviction_share_of_trigger_all \n",
|
||
"5 [0.0, 0.0, 0.0013960996497106308, 3.4923021528... \n",
|
||
"10 [nan, 0.0, 0.0028633385488795573, 7.2244843785... \n",
|
||
"15 [nan, 0.0, 0.005392458281027445, 0.00011165603... \n",
|
||
"20 [nan, 0.0, 0.008720549889434468, 0.00015287843... \n",
|
||
"25 [nan, 0.0, 0.012152542617523193, 0.00016755355... \n",
|
||
"\n",
|
||
"[5 rows x 33 columns]"
|
||
]
|
||
},
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.head(5)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f082247ec90>"
|
||
]
|
||
},
|
||
"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"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep','sentiment')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f07dc3e12d0>"
|
||
]
|
||
},
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep',['funds', 'candidate_funds'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Funds are the total available funds, whereas candidate funds show how many funds are requested by candidate proposals."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 612x792 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"affinities_plot(df)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.legend.Legend at 0x7f07dc3f4350>"
|
||
]
|
||
},
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(x='timestep',y=['candidate_count','active_count','completed_count', 'killed_count', 'failed_count'],\n",
|
||
" kind='area')\n",
|
||
"plt.title('Proposal Status')\n",
|
||
"plt.ylabel('count of proposals')\n",
|
||
"plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.legend.Legend at 0x7f07c9f4fed0>"
|
||
]
|
||
},
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(x='timestep',y=['candidate_funds','active_funds','completed_funds', 'killed_funds', 'failed_funds'], kind='area')\n",
|
||
"plt.title('Proposal Status weighted by funds requested')\n",
|
||
"plt.ylabel('Funds worth of proposals')\n",
|
||
"plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nets = df.network.values"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 52,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"K = 0\n",
|
||
"N = 1\n",
|
||
"\n",
|
||
"snap_plot(nets[K:N], size_scale = 1/300,savefigs=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"On the left side are participants, with the right side of the graph being the proposals. With this graph, we can see the links between the participants and the proposals that they support. The percentage on the right hand are the the amount of the required amount to pass that has been fulfilled.\n",
|
||
"\n",
|
||
"You can move the K and N to different points within the 100 timesteps, 0 indexed, to see how the model evolves overtime. \n",
|
||
"\n",
|
||
"As you can see with the plot above at the start of the simulation, no proposals have been formally supported yet. Below we can see a many interactions between agents and proposals."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 53,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"snap_plot(nets[80:81], size_scale = 1/300,savefigs=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f07bb191dd0>"
|
||
]
|
||
},
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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mR0EJZjCkt7qVxpqSgYjEzI6CYgb17EzH9kmxrkrCUzIQkZjZUVii9oJWIpJpL0VEIlJZ5TRk0OEdBSVcPG5AM9ZIIqVkICJN4tVP8rjhsQwqqxo2Av0I3Rm0CkoGItIklr+fTfdO7Zl7dlrE27RPascVk4c0Y60kUkoGItJoFZVVvPpJPheM6cd3Lxgd6+pIFNSALCKNtnbHPooOl3PhmP6xropEqd5kYGZLzCzPzMKntpxvZtlmti74XBrER5jZ4bD4r8O2mWxmH5jZFjO734KZr82sj5m9bGafBj97N8eJikjzWfVxHslJxrmj+8a6KhKlSO4MlgKX1BJf5O6Tgs+LYfGtYfEbw+IPA98CRgef6n3eAaxy99HAqmBZRNqQv2/KZdrIFLp3So51VSRK9SYDd3+D0NzEUTOzgUAPd38nmOz+ceArwepZwGPB98fC4iLSBmzbW0xmfjEXnNov1lWRRmhMm8HNZrYheIwU/mgnzczeN7PXzezcIDYYyAorkxXEAPq7e07wfQ9Q50NHM5tnZhlmlpGfn9+IqotIU1m1KReAC9Re0KZFmwweBkYBk4Ac4BdBPAcY5u6nA/8B/NHMekS60+Cuoc5Oyu7+iLunu3t6ampqlFUXkab09025nNy/G0M1QU2bFlUycPdcd6909yrgUWBKED/i7gXB97XAVuBkIBsI70w8JIgB5AaPkaofJ+VFUycRaXlFJeWs2b5PdwVxIKr3DMxsYNijncuBjUE8FSh090ozG0mooTjT3QvN7ICZTQPeBa4HHgi2XwHMAe4Lfi6P+mxEpMk8k7GLJ97decIyxUcqqKxyLhyj9oK2rt5kYGZPAtOBvmaWBdwNTDezSYQe6WwHvh0U/zxwj5mVA1XAje5e3fj8HUI9kzoDfw0+EEoCy8xsLrADuKrRZyUijfbH1TvZVVjCuME96yzTo3Myk4f3ZtJQ9Qhv6+pNBu4+u5bw4jrKPgc8V8e6DGB8LfEC4IL66iEiLcfd2ZJ7iMvPGMw9s477ZytxSG8gi8hx9hwo5eCRCkb36xbrqkgLUTIQkeNszj0EwOj+3WNcE2kpSgYicpxPcw8CcLKSQcJQMhCR43yae4iUrh3o07VDrKsiLUTJQESOsznvIKP7q70gkSgZiMgxqnsS6RFRYlEyEJFjqCdRYlIyEJFjqCdRYlIyEJFjqCdRYlIyEJFjqCdRYlIyEJFjqCdRYlIyEJGj1JMocSkZiMhR6kmUuJQMROQo9SRKXEoGInKUehIlrnqTQTDhfZ6ZbQyLzTezbDNbF3wuDeIzzWytmX0Q/Dw/bJvXzOyTsG36BfGOZva0mW0xs3fNbETTn6aI1GVz7kGWr8tm+bpsXvskXz2JElQk014uBX4FPF4jvsjdF9aI7QW+5O67zWw8sBIYHLb+umCSm3BzgX3ufpKZXQP8DLg60hMQkegdOlLBNY+8Q2Fx2dHY+adqCstEFMlMZ29E+te6u78ftvgh0NnMOrr7kRNsNguYH3x/FviVmZm7eyTHFJHoLX1rG4XFZSyek05a364ADOrVOca1klhoTJvBzWa2IXiMVNsEqP8CvFcjEfwueER0p5lZEBsM7AJw9wqgCEip7YBmNs/MMswsIz8/vxFVF5Giw+U88kYmF47pxwVj+jMytRsjU7vRKTkp1lWTGIg2GTwMjAImATnAL8JXmtk4Qo97vh0Wvs7dTwPODT5fa+hB3f0Rd0939/TU1NQoqy4iAIvf3MaB0gr+febJsa6KtAJRJQN3z3X3SnevAh4FplSvM7MhwJ+B6919a9g22cHPg8Afw7bJBoYG27YHegIF0dRLRCKzr7iMJW9u4wvjBzBuUM9YV0dagUgakI9jZgPdPSdYvBzYGMR7AS8Ad7j7W2Hl2wO93H2vmSUDlwF/D1avAOYAbwNXAK+ovUCk8SqrnLe27GX/4fLj1r32cR7FZborkM/UmwzM7ElgOtDXzLKAu4HpZjYJcGA7nz0Ouhk4CbjLzO4KYhcBxcDKIBEkEUoEjwbrFwO/N7MtQCFwTeNPSyRxlZRV8ExGFovf3MbOwpI6y11++mC9TyBHWVv9Izw9Pd0zMmr2UhVpO3731jYefm1rveWqHCqrqqiodCoj+PdaXllFeaVzxrBe3HDuyDp/4Q/r04UO7fXeaaIxs7Xunl4zHtVjIhFpvBc/yCGpnTH9lPo6QxjJSUZSOyPJjKP98OrQrp1x0dj+TB7ep8nqKvFPyUAkBtydzbmH+OKEgfzk8tNiXR0RjU0kEgv5B49QdLickzU6qLQSSgYiMfCJBoSTVkbJQCQGNFS0tDZKBiIx8GnuQXp3SaZvN40OKq2DkoFIDGzOPcjo/t2x+roGibQQJQORFubufJp7iJM16by0IkoGIi2sep5hNR5La6JkINLCjjYe91MykNZDyUCkhX02z7AeE0nroWQg0sI25x6kb7cOpHTrGOuqiBylZCDSwjbnHtIjIml1lAxEWpC7syVPPYmk9VEyEGlBu4tKOXSkQm8eS6sTUTIIJr3PM7ONYbH5ZpYdTHC/zswuDVv3X2a2xcw+MbOLw+KXBLEtZnZHWDzNzN4N4k+bmV7LlLi0eY/GJJLWKdI7g6XAJbXEF7n7pODzIoCZjSU0W9m4YJuHzCzJzJKAB4EvAGOB2UFZgJ8F+zoJ2AfMjfaERFqzzepJJK1URPMZuPsbZjYiwn3OAp5y9yPAtmA6yynBui3unglgZk8Bs8xsE3A+cG1Q5jFgPvBwhMcTiQl35/5VW9hRUBzxNuuy9pPavSO9uujmV1qXxk5uc7OZXQ9kAN9z933AYOCdsDJZQQxgV434VCAF2O/uFbWUP4aZzQPmAQwbNqyRVRdpnMLiMhb9fTN9unaga8ekiLf7lzOGNGOtRKLTmGTwMPAjwIOfvwC+2RSVqou7PwI8AqE5kJvzWCL12ZofuiP4xVUTmXFKvxjXRqRxok4G7p5b/d3MHgWeDxazgaFhRYcEMeqIFwC9zKx9cHcQXl6k1crMDw0rMaqvnv9L2xd111IzGxi2eDlQ3dNoBXCNmXU0szRgNLAaWAOMDnoOdSDUyLzC3R14Fbgi2H4OsDzaeom0lMy9xXRo347BvTvHuioijRbRnYGZPQlMB/qaWRZwNzDdzCYReky0Hfg2gLt/aGbLgI+ACuAmd68M9nMzsBJIApa4+4fBIb4PPGVmPwbeBxY3ydmJNKPM/EOMSOlCUjvNSSBtX6S9iWbXEq7zF7a73wvcW0v8ReDFWuKZfNbjSKRNyMwv5pQBel9A4oPeQBaJQnllFTsLSxiZ2jXWVRFpEkoGIlHYUVBCRZUzUo3HEieUDESiUN2TSHcGEi+UDESikLk39I7ByFTdGUh8UDIQiUJm/iH6dutIz87Jsa6KSJNQMhCJQmZ+sR4RSVxRMhCJwtb8Q4xSMpA4omQg0kD7isvYV1KunkQSV5QMRBooc696Ekn8UTIQaaDq0UpHqSeRxBElA5EGyswvJjnJGKIB6iSOKBmINNDW/EMMT+lK+yT985H4of+bRRooM/8QI/uqvUDiS2OnvRRpVd7NLODlj3LrL9gIOwtLmDl2QLMeQ6SlKRlI3DhSUcmtT62joPgIHZrxEU6XDu05+6SUZtu/SCzUmwzMbAlwGZDn7uNrrPsesBBIdfe9ZnYbcF3YvscE6wrNbDtwEKgEKtw9PdhHH+BpYAShSXKucvd9jT81STTL1uxiz4FSnrhhKmef1DfW1RFpUyL582kpcEnNoJkNBS4CdlbH3H2Bu09y90nAfwGvu3th2GYzgvXpYbE7gFXuPhpYFSyLNMiRikoeem0r6cN787lR+qtdpKHqTQbu/gZQWMuqRcDthKa9rM1s4MkI6jALeCz4/hjwlQi2ETnGMxlZ5BSVcuuFozHTNJQiDRXVg1UzmwVku/v6OtZ3IXQ38VxY2IGXzGytmc0Li/d395zg+x6g/wmOO8/MMswsIz8/P5qqSxwqq6ji4de2csawXpyjx0MiUWlwA3Lwi/4HhB4R1eVLwFs1HhGd4+7ZZtYPeNnMPg7uOo5ydzezuu40cPdHgEcA0tPT6ywnrVNllfP3TbmUllc26X4/yCoie/9h7r18vO4KRKIUTW+iUUAasD74hzcEeM/Mprj7nqDMNdR4ROTu2cHPPDP7MzAFeAPINbOB7p5jZgOBvOhORVq7lz7cw7898V6z7Hvy8N6cd3Jqs+xbJBE0OBm4+wdAv+rloJdQurvvDZZ7AucB/xpWpivQzt0PBt8vAu4JVq8A5gD3BT+XR3Um0uq9vjmf7h3b8+ebPtfkf8EP6tlZdwUijRBJ19IngelAXzPLAu5298Un2ORy4CV3Lw6L9Qf+HPxjbQ/80d3/Fqy7D1hmZnOBHcBVDT4LafXcnX98upfPnZTCSf26x7o6IlJDvcnA3WfXs35EjeWlhLqjhscygYl1bF8AXFBfPaRt215QQvb+w9w4fVSsqyIitdDYRNIi/vFpqPfXuertI9IqKRlIi/jHp3sZ0rszw1O6xLoqIlILJQNpduWVVby9tYBzR6eqkVeklVIykGa3ftd+Dh2p4NzRekQk0lopGUiz+8enezFDYwaJtGJKBtLs/vFpPhMG96RXlw6xroqI1EHJQJrVgdJy1mcVce5ovR0s0pppchuJWFWVc9uzG3juvawGb3uO2gtEWjUlA4nYwpc+4bn3srhy8hAG9eoc8Xa9uiQzZUSfZqyZiDSWkoFEZFnGLh56bSvXTh3GvV/R6KAi8UbJII5UVjnPb9jN4bKmHSL6QGk5P//bJ5w7ui8//PI4JQKROKRkEEdWfriHW59a1yz7PnVAd3517RkkN+NE8yISO0oGceSFDTn07daRFTefTVP/8d63W0clApE4pmQQJ0rKKlj1cS5XNLBxV0QE9J5B3Hj143xKy6v44mmDYl0VEWmDIkoGZrbEzPLMbGMt675nZm5mfYPl6WZWZGbrgs9dYWUvMbNPzGyLmd0RFk8zs3eD+NNmpldVG+jFD0KPiKakqQuniDRcpHcGS4FLagbNbCihKSx31lj1D3efFHzuCcomAQ8CXwDGArPNbGxQ/mfAInc/CdgHzG3oiSSyw2WVvPJxHpeM709SO/X0EZGGiygZuPsbQGEtqxYBtwMewW6mAFvcPdPdy4CngFkW6qd4PvBsUO4x4CuR1EtCXv0kj8PllVx62sBYV0VE2qio2wzMbBaQ7e7ra1l9lpmtN7O/mtm4IDYY2BVWJiuIpQD73b2iRry2Y84zswwzy8jPz4+26nEn1IuoA1PTNCqoiEQnqt5EZtYF+AGhR0Q1vQcMd/dDZnYp8BdgdPRV/Iy7PwI8ApCenh7J3UhcqqxydhWWUOVORZXzysd5fPWMwXpEJCJRi7Zr6SggDVgfvI06BHjPzKa4+57qQu7+opk9FDQuZwNDw/YxJIgVAL3MrH1wd1AdF8DdOVxeyYHDFWzJO8RfN+aw8sNc9h46cky5L07QIyIRiV5UycDdPwD6VS+b2XYg3d33mtkAINfd3cymEHoUVQDsB0abWRqhX/bXANcG5V4FriDUjjAHWN6Ic4oLVVXOT17cxONv76CssupovHNyEjNOTeXzo1Pp3CEJgO6d2nPWSD0iEpHoRZQMzOxJYDrQ18yygLvdfXEdxa8A/s3MKoDDwDXu7kCFmd0MrASSgCXu/mGwzfeBp8zsx8D7QF37TggVlVXc/uwG/vR+Nl+eOIixg3rQo1MyA3p25KyRfY8mARGRpmKh39NtT3p6umdkZMS6GrUqLa+k+EhF/QVrUVnl/PdfNvLyR7n850Unc9OMkzQwnIg0GTNb6+7pNeMajqKJuTvTF7zGngOljdrPPbPGcf1ZI5qmUiIi9VAyaGIFxWXsOVDKlyYO4swRvaPax8n9uzNNbQAi0oKUDJrYnqLQHcFlEwZy8bgBMa6NiEhkNFBdE8sJksHAnp1iXBMRkcgpGTSxnKLDAAzsqWGkRaTtUDJoYjlFpSQnGSldNfCqiLQdSgZNbE9RKf17dKKdhoYQkTZEyaCJ7d5/mEF6RCQibYySQRPbc6CUAWo8FpE2RsmgCbk7OUWl6kkkIm2OkkETKiwuo6yiSncGItLmKBk0oc/eMVCbgYi0LUoGTSoWkAgAAAthSURBVGiPXjgTkTZKyaAJffbCmZKBiLQtSgZNKKeolPbtjL7dOsa6KiIiDVJvMjCzJWaWZ2Yba1n3PTPzYFpLzOw6M9tgZh+Y2T/NbGJY2e1BfJ2ZZYTF+5jZy2b2afAzuqE+WwG9cCYibVUkdwZLgUtqBs1sKHARsDMsvA04z91PA35EMHl9mBnuPqnGxAp3AKvcfTSwKlhuk3YXHdYjIhFpk+pNBu7+BlBYy6pFwO2Ah5X9p7vvCxbfITS5fX1mAY8F3x8DvhLBNq3SnqJSBvZSTyIRaXuiajMws1lAtruvP0GxucBfw5YdeMnM1prZvLB4f3fPCb7vAfpHU6dY0wtnItKWNXhyGzPrAvyA0COiusrMIJQMzgkLn+Pu2WbWD3jZzD4O7jqOcnc3szonZQ6SyDyAYcOGNbTqzWpfSTlHKqoY0EPJQETanmjuDEYBacB6M9tO6FHQe2Y2AMDMJgC/BWa5e0H1Ru6eHfzMA/4MTAlW5ZrZwGDbgUBeXQd290fcPd3d01NTU6OoevOp7lY6qJeSgYi0PQ1OBu7+gbv3c/cR7j4CyALOcPc9ZjYM+BPwNXffXL2NmXU1s+7V3wndVVT3TloBzAm+zwGWR302MZSzP/TC2QC9fSwibVAkXUufBN4GTjGzLDObe4LidwEpwEM1upD2B940s/XAauAFd/9bsO4+YKaZfQpcGCy3OTkH9PaxiLRd9bYZuPvsetaPCPt+A3BDLWUygYk148G6AuCC+urR2u0pOqwXzkSkzdIbyE0kZ3/ohbMkvXAmIm2QkkETySnSpDYi0nYpGTQRzXAmIm1Zg98zSGTuzprt+yg+UnHcut37D3PhmH4xqJWISOMpGTTA2h37uOo3b9e5Pq1vtxasjYhI01EyaIC3thRgBk9+axqdkpOOWde+nTFmYI8Y1UxEpHGUDBrg3W0FjBnQg2kjU2JdFRGRJqUG5AiVVVTx3s59TB3ZJ9ZVERFpckoGEdqQtZ/S8iqmpumuQETij5JBhN7JDI25NyVNdwYiEn+UDCL07rZCTunfnT5dO8S6KiIiTU7JIALllVWs3aH2AhGJX0oGEfggu4iSskr1IhKRuKVkEIF3M0NTQKu9QETilZJBBN7JLOCkft00PLWIxC0lg3pUVFaRsb2QqborEJE4FtEbyGa2BLgMyHP38TXWfQ9YCKS6+14zM+CXwKVACfB1d38vKDsH+L/Bpj9298eC+GRgKdAZeBG41d29kedWqwdWfcqK9bsjLl9R5RSXVTJV7QUiEsciHY5iKfAr4PHwoJkNJTSf8c6w8BeA0cFnKvAwMNXM+gB3A+mAA2vNbIW77wvKfAt4l1AyuAT4a3SndGKp3Tsyun/DBpRLH96b80/ViKQiEr8iSgbu/oaZjahl1SLgdo6dxH4W8Hjwl/07ZtbLzAYC04GX3b0QwMxeBi4xs9eAHu7+ThB/HPgKzZQMrpkyjGumDGuOXYuItFlRtxmY2Swg293X11g1GNgVtpwVxE4Uz6olXtsx55lZhpll5OfnR1t1ERGpIapkYGZdgB8AdzVtdU7M3R9x93R3T09NTW3JQ4uIxLVo7wxGAWnAejPbDgwB3jOzAUA2MDSs7JAgdqL4kFriIiLSQqJKBu7+gbv3c/cR7j6C0KOdM9x9D7ACuN5CpgFF7p4DrAQuMrPeZtabUMPzymDdATObFvREup5j2yBERKSZRZQMzOxJ4G3gFDPLMrO5Jyj+IpAJbAEeBb4DEDQc/whYE3zuqW5MDsr8NthmK83UeCwiIrWzZurO3+zS09M9IyMj1tUQEWlTzGytu6fXjOsNZBERUTIQEZE2/JjIzPKBHQ3YpC+wt5mq05ol4nkn4jlDYp53Ip4zNO68h7v7cX3z22wyaCgzy6jtOVm8S8TzTsRzhsQ870Q8Z2ie89ZjIhERUTIQEZHESgaPxLoCMZKI552I5wyJed6JeM7QDOedMG0GIiJSt0S6MxARkTooGYiISGIkAzO7xMw+MbMtZnZHrOvTHMxsqJm9amYfmdmHZnZrEO9jZi+b2afBz96xrmtTM7MkM3vfzJ4PltPM7N3gej9tZh1iXcemFkwa9ayZfWxmm8zsrHi/1mb278H/2xvN7Ekz6xSP19rMlphZnpltDIvVem2DAUHvD85/g5mdEe1x4z4ZmFkS8CCh6TjHArPNbGxsa9UsKoDvuftYYBpwU3CedwCr3H00sCpYjje3ApvCln8GLHL3k4B9wIkGVmyrfgn8zd1PBSYSOv+4vdZmNhi4BUgP5mFPAq4hPq/1UkJT/4ar69qGTzM8j9AUwlGJ+2QATAG2uHumu5cBTxGamjOuuHuOu78XfD9I6JfDYELn+lhQ7DFCU4rGDTMbAnyR0Ki3BMOgnw88GxSJx3PuCXweWAzg7mXuvp84v9aEpuntbGbtgS5ADnF4rd39DaCwRriua3t0muFg6uDqaYYbLBGSQV3TbcatYL7q04F3gf7BnBEAe4D+MapWc/l/hObhrgqWU4D97l4RLMfj9U4D8oHfBY/HfmtmXYnja+3u2cBCYCehJFAErCX+r3W1uq5tk/1+S4RkkFDMrBvwHPB/3P1A+DoP9SOOm77EZnYZkOfua2NdlxbWHjgDeNjdTweKqfFIKA6vdW9CfwWnAYOArhz/KCUhNNe1TYRkUNd0m3HHzJIJJYIn3P1PQTi3+rYx+JkXq/o1g7OBLwdTrz5F6JHBLwndKrcPysTj9c4Cstz93WD5WULJIZ6v9YXANnfPd/dy4E+Ern+8X+tqdV3bJvv9lgjJYA0wOuh10IFQo9OKGNepyQXPyhcDm9z9f8JWrQDmBN/nEEdTirr7f7n7kGDq1WuAV9z9OuBV4IqgWFydM0AwvewuMzslCF0AfEQcX2tCj4emmVmX4P/16nOO62sdpq5rW9c0ww3n7nH/AS4FNhOaUvO/Y12fZjrHcwjdOm4A1gWfSwk9Q18FfAr8HegT67o20/lPB54Pvo8EVhOaRvUZoGOs69cM5zsJyAiu91+A3vF+rYEfAh8DG4HfAx3j8VoDTxJqFykndBc4t65rCxih3pJbgQ8I9baK6rgajkJERBLiMZGIiNRDyUBERJQMREREyUBERFAyEBERlAwkwQWjf34n+D7IzJ6tb5tGHGuSmV3aXPsXaQwlA0l0vYDvALj7bne/op7yjTGJ0LsfIq2O3jOQhGZm1aPYfkLohZ4x7j7ezL5OaGTIroSGB14IdAC+BhwBLnX3QjMbReiln1SgBPiWu39sZlcCdwOVhAZVu5DQi1GdCQ0X8FPgeeABYDyQDMx39+XBsS8HehIadOwP7v7DZv5PIQmuff1FROLaHcB4d58UjPb6fNi68YRGf+1E6Bf59939dDNbBFxPaMTUR4Ab3f1TM5sKPERojKS7gIvdPdvMerl7mZndRegN0ZsBzOwnhIbQ+KaZ9QJWm9nfg2NPCY5fAqwxsxfcPaM5/0NIYlMyEKnbqx6aG+KgmRUB/xvEPwAmBCPEfg54JjRcDhAaIgHgLWCpmS0jNKhabS4iNNDefwbLnYBhwfeX3b0AwMz+RGi4ESUDaTZKBiJ1OxL2vSpsuYrQv512hMbTn1RzQ3e/MbhT+CKw1swm17J/A/7F3T85JhjarubzWz3PlWalBmRJdAeB7tFs6KH5IrYF7QPV89FODL6Pcvd33f0uQhPRDK3lWCuB7wajcGJmp4etmxnMe9uZUNvFW9HUUSRSSgaS0IJHMW8Fk48viGIX1wFzzWw98CGfTam6wMw+CPb7T2A9oeGWx5rZOjO7GvgRoYbjDWb2YbBcbTWhuSk2AM+pvUCam3oTibQyQW+iow3NIi1BdwYiIqI7AxER0Z2BiIigZCAiIigZiIgISgYiIoKSgYiIAP8fZP71wqvjKUEAAAAASUVORK5CYII=\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep',['effective_supply'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f082c1c1bd0>"
|
||
]
|
||
},
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep',['participant_count'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"As expected *effective_supply* is increasing with the arrival of new participants."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Conclusion\n",
|
||
"\n",
|
||
"We have created a conviction voting model that closely adheres to the 1Hive implementation. This notebook describes the use case, how the model works, and provides descriptions of how it fits together."
|
||
]
|
||
}
|
||
],
|
||
"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
|
||
}
|