{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Aragon Conviction Voting Model - Version 2\n", "\n", "New to this model are the following elements:\n", "\n", "* Influence - Participant social network where participants influence each others perception of a a proposal.\n", "* Conflict - A network with the notion of supporting one proposal may mean going against an alternative proposal. For proposals with conflicts, an edge is created between them with a function to calculate the degree of conflict.\n", "* Sentiment - Participant sentiment\n", "* Updated trigger function to better represent 1Hive's implementation\n", "* Updated plotting\n", "* Updated affinity distribution to between -1, 1\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# An Introduction to Conviction Voting\n", "\n", "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", "\n", "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", "\n", "\n", "## The Word Problem\n", "\n", "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", "\n", "## Converting to a Math Problem\n", "\n", "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", "\n", "### Participants\n", "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", "\n", "### Proposals & Shares Resources\n", "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", "\n", "### Participants Preferences for Proposals\n", "\n", "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", "![Replace this later](https://i.imgur.com/vxKNtxi.png)\n", "\n", "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", "![](https://i.imgur.com/KRh8tKn.png)\n", "\n", "## Aggregating Information\n", "\n", "In order to break out of the synchronous voting model, a dynamical systems model of this system is introduced.\n", "\n", "### Participants Allocate Voting Power\n", "![](https://i.imgur.com/DZRDwk6.png)\n", "\n", "### System Accounts Proposal Conviction\n", "![](https://i.imgur.com/euAei5R.png)\n", "\n", "### Understanding Alpha\n", "* https://www.desmos.com/calculator/x9uc6w72lm\n", "* https://www.desmos.com/calculator/0lmtia9jql\n", "\n", "\n", "## Converting Signals to Discrete Decisions\n", "\n", "Conviction as kinetic energy and Trigger function as required activation energy.\n", "\n", "### The Trigger Function\n", "\n", "https://www.desmos.com/calculator/yxklrjs5m3\n", "\n", "Below we show a sweep of the trigger function threshold:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [] }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": "for reference: max conviction = 5.239669785665982in log10 units\n" } ], "source": [ "from model.model.conviction_helper_functions import *\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "beta = .2 #later we should set this to be param so we can sweep it\n", "# tuning param for the trigger function\n", "rho = .001\n", "#alpha = 1 - 0.9999599 #native timescale for app as in contract code\n", "alpha = 1-.5**3 #timescale set in days with 3 day halflife (from comments in contract comments)\n", "supply= 21706 \n", "\n", "mcv = supply/(1-alpha)\n", "print('for reference: max conviction = '+str(np.log10(mcv))+'in log10 units')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "supply_sweep = trigger_sweep('effective_supply',trigger_threshold,beta,rho,alpha, supply)\n", "alpha_sweep = trigger_sweep('alpha',trigger_threshold,beta,rho,alpha, supply)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [] }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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V3s915aa5i+wqdb+ZdWvfT2Tt55zB2o8z7j6C8c8xybbjthl127C/D/vbsOcss+1a2w3ePrh98fdR/y8+xvLfh/1t7G27FLt3oeK/w/6vAHYW/rYr/1vx99sL/94O6E6gtxPYAaCH7N8bgBtV9bcQqXuL6PYGH/8G4POq+tgGn6JWDHbsdjcA761w/y0NtaNtc6EbMCFv/b85dANKWh+6AaNZCiwUbQjdgIKNoRuAsLt6iPei7T5v65C9qYXnaLrvmuqrJvqmzn23zvbV1a5p2zTt9tO8jkmee9Lnq/pcVe9fpV2beqXutn5DufvNbVosdb/ObH/842Dtx5lHd/xzYHSb58ZsO3674e0a1ZZhjzXsuYffb/VzDT7P7JDtBu9TfOzB5155257nKz7GqO2X/768XXGb5XbN78z+1un10VkemS/l/27Pf5b/tvz/XuG25b/3Bn6/Of/3puz/O24CrroN+BWAq5D9+wrgWkRsO4C/avDxXwHs2+DD187b5XFDtoZuQOK89f+20A0oaUfoBozGWspkUZOXT4YZfw5fn4UWnqPtvktFG+8djbe09l1i0V/qtPp8Xcy3+nxe9dHu+zKNnoULNRQtBjum4m3APUxbZ85N8Nb/DHhMzWLAw9JJrYXBY8jd3NJ7QfFKKZhg5TOVUp9X4ahfugsMUkyiNyRowYBPNV5z2KkeDHZMzduAexgGPNrjJeBBRKUxu2NyTfadp682K0GFWLF/iXxhtgfVhDU7arEV/mpIDOrCb+wzhv63ZgfM1u9Q2KvfsQQ7tTu2I/xJwjaEq91h6b0gCmUB7dRdKctae6pos+1NP1eV4+NCp3TdDqpHF3Nja4YQlTEDvyO6JjCzozbeMgyG4QG2HV6yOzidpRJLVw4tTGcJKcR7wewOm5rqJ+/9UoWVY5u3PrfSb1RJd8wwcdiUkliMe93TWgw19I737aIKGOygAV4DHt6CTV4CHkQT4i5OZaUenFvGwTFRLYINronIHAY7auVtwB0bb/3vYTTI7I5KLA1WLAwgUytWaqHPm+DtijplrL1vodtj6fhcp9D9inpXZOn1Z2t7rJS0FeBhIIm8YbCjdt4G3MN4ze4A4uh/axjwqCTWE2qyx/OhepDHQqUGBpnUEr7XtahrRZZpVyNpczpKzMGBmKf1UDxYoLQRMRTM9Fyw1JOQlRwpeixW2n6xUgt9Tn5ZLbBrpV3eCp1O0m8sUpqEHjrowEffdjGPOSyGa8BGxJs52YB18D8KrRMzOxoTQ4aB18uG3vqe01mmwuwOShkLlZaTanaH9fYRRWLabBMiagaDHY3yNugehgGPdjDgMRWLAQ8rLFwNYe0OKoP9lok5WBo6+BJz3xIR0SoMdjTO26B7GAY8iCqzdFLNQWTcmN1BbbB0TKOV+NmkGFiYKkfRYbCDyAxmd0zFYnYHBwd7MLuDymCh0vpZb19VoV7PpM87yfHH4XsW04osXWM160IUAq3jOTm1hyxggdJWsGBpON763kPB0h0A1oduxHAKQEI3wigWzoxbW4dobwUivbJSELQJ3IfCC7h/dRfmMbep+WKXi5jDfAMRTiuFRScpGtpUn2TtmcOc20zwuKyD/ZFEm5jZ0ZoYplR4PYjF0PfkFrM79mB2B4Xm9WvMihiOZzG8hjYt2FxeNNasgTqzSvpcGpaIwY52xTDo9nqm6KnvOZ1lKhans1jBwXfcvB6eB3ncT61PO7Devqpiez3UuhBTQ6xhH1AKGOxonadB9yhez6g99T0DHlHhlcQ9mN3hHwea7eBxwx7L+77lthERBcJgRxCeBt0UDgMeE7OY3WFl4BLj4Jvi47FQaSrqOJalNjBPpEgpDbfosuYdURxYoDQYb4UzB7FgKRnHYqWjhS5WGrIOb4jCfG32NwuVhmO9T6y3r00xF4Atq4E+6C91MLshfPHOUCYpGkoT2gBevBlhBoi0os1kmNlBU/B6ecxTZg2zO6JiJbvDAg+7NlFoPGaMxsyH9gQoUhp6+dk21F0zI7kMEq4wRyUw2BGUp0H3KAx4NM/DqNBowMPidBYrUr4iEnvtjrYOy00PNjmVJW5egxVe221Id6Gd687JDf6nVOdKMFasL8STuBxrmhjsCM7ToHsUnjWSYdYCHrxSu4eHOB5RFdYHwnW1j8ex6troM+v7X82aXH42xoE/UYoY7DAhhoCHR5763cOo0Gh2h0VWBgrM7ohXLDFoZnfEv6+G4qFfEwteeMElWxvG6SlUIxYoNcN74UwWLG1eyKqOzrFYqV0p7dahC8M2gUUvKSTufzSFHjroIN2Cqk0J2q8dpH0hB1kmQyqnVWUws8MUT5kGw3i5TOaZ9QwPw9kdnM4yXMonBVbeg6bwkBxGKlfjU16C1mu7BzVwDOwvMeuhCcwmIZoMgx1UM49n196DTNYYDniQTdZjeHWKMbjEQqXNq3NQGstAndrFFVlaE3O9kD6DNtQyBjvM4cA7DE/9ntLIsGbM7hguxgF4WVbeA4oLAwo+tP35Z5HS3dpakSVmTRZoHfdcdaxys7iu5GNsWON2xk5oDQx2mORp4D2Ml0tlgzz1u/WAB7M73Akd8LC+S9cpxmVomxZ6/6TmTDs4dzK4n1jsry8yowIQVpbBtdKOqcRW+4oaxQKlZnkqnDmM14KlVJ8dANaHbsRq1oqVLmHtKxfULL4H0/NcKNLL11Wd+2ld71fKnx3P+3xEupjHHBZH3r6IOcxHE/Wtro8OZg0XYe11ZtHp9UM3Iyoz8PGV1hZmdpjmKdNgGI9fLp76PKVL4TXjdJbhQl89T2mXZnZH/HhFnjyw8v1jUMy1M+rCwqlkHYMd1DCPZ9kMeNSH01nICZ7wT89zoVJKFz/7teOKLOUxWNAQTnWhHIMd5nkaeMeE/V4fowEPZncMF3pAaT1+Vydmd9iRYv/UFZyysAStpywaz0VKA6zI0rRJgw2xBCnGvY46X2MUtULIJQY7XPA+8E7xLLJNKY0OiRpkJeBEo4UOxlVV96CT+2iaPAVzKiizIkuqy89OKsmgArM4aAwWKHWDBUvb56nPtwHYHLoRY7BYaSlWiv1tR9iTB+u7c51C93XdPBdt9Pg1RWF53t+JKErr4Gf00gZmdrjCDI/2ee9zSzidhRyI+cq5x0MwURti/twTESWMwQ53OPimUTidJQpWTrpDTxfg7uwXC5WuZHkqC+t2hGHlOL/MWnvIpWlWr+mVzXCMKROSWsFgB7XM46VFTwEm6yNEZneUwhPPtLBQqR3sH6LxShYpbXNFli7G1/6IpY6Fx6Koa703RE1jsMMlT4PvYTyeTXrvc0uMBjxotdBX0EPF7hhsmp6nq+xE02hrX6/6PPwMBjNqgF8l6DJNlgQR7cECpW55Kp45jMdKcF76PKXqjjVisVIKqc1CpR4Pv4O8FXatu5BlnceHutpWR5tCFvzkMZeG6GIOcy4v0k0mtdcboxn4/4qvEzM7XGO2AY3C6SwTsTadxQJmd1BqeJ7vF7MZ3LGw/KzH6SHLOE0kx0ClGSJyHxH5TuFnq4j89cB9jhWRy/OfC0Tk0Kbaw8wOCsjj5UUv2R0UBStXGr1dRfcqtn5u+ip9bP1FabFyfF9mrT1E5JKq/hDAYQAgIusA/BzAuQN3+ymAI1T1FhE5CsBpAB7WRHuY2eGe9+wOj5fQvPQ5szsmwuwOe5jdUT+Ph17vUliVhSghdWWEeM4s8WJu4F9qzWMA/ERVry3+UVUvUNVb8l8vBLBfUw1gsCMKXgbfo/CsuzkMeLhnZcAdejpLKtjPNvBraTIWlqANIbUipQZXZCEik44BcOYa93kWgM821QBOY4kGp1e0i/0dNRYrtSdU3d2Y+76NmYScykJtm2afi/nzHrku5jGHxdDNMKmPDmbR2/37IuYwz4hutGYAbGlyhH879hWRSwp/OU1VTxu8m4jMAjgawMtHPZSIHIks2PHI2tuZY7AjKp4H4Kzf0Rzrq7PsALA+dCNWsxbwsIADS6LpWF6VhShiHOA7tBErsx07QCFmQ+HcqKqHl7jfUQC+paq/GnajiBwC4HQAR6nqTXU2sIjTWMgQfgk1h9NZ3LMynSWkVGp3tDmVpY3DrsdpCUB6X0l1vU88VpXHviKieD0FI6awiMj+AM4B8HRV/VGTjWCwY7ddoRtQE9bvaJf3/qaxWKx0NdaUIGu4T8bHY4DMY5sHBQq+lFl+lspbbChTmsvcUlkiMg/gj5EFNJb/dqKInJj/+ioA+wB4e7487SVDHqYWDHas4G2gPQoH4O3y0t/M7nCPVwGZ3UH+WV6VJRbT9LH1/rRSpLRlvf5ssOfuThA88BQYmGQ1mKYCKpyWFwdVXVTVfVT1tsLfTlXVU/P/H6+qd1LVw/KfMtNiJsKaHat4rB0xjJd6EsN4fA+89Lf1+h0GsXbHaqzdEZcYCpU2xePX0TS8vk9EU+qhg04LBSFSqR3SVn/SauvWAZubPEe7be27WMLMjqFiOQh5yTgYJpb3gKphdsearF91bAOzO2gQ+8oWHqfix+VnGzcso2SSLAyilDHYQVQbL8ElTmepjLU7VuPgMi4sVDpaE33jtS/alEofMTDkWuzBB1evjxmnNASDHSPFklngZQA+jMf3wEt/Ww94GGQp4MGT43R2YQaVyku5r+o8JsQSZAhRtyOWvnPKU52MmLgKiFByGOwYy+NgexgvA/BhYnkPqBqD2R20WoqDSwaaiCi0JoMqER/jGiuqWQMGDIiawQKla4qlOpmXAprDeHsPvPQ1i5VWZqlY6RJYtZy7cL1YqHS0JvrGa1+UxWOUHQ72te7CPOY2LYZuhktdzGMOkffdRqR5gWUCIsB6xs52Y2ZHKcwuoKo8Z9NYweyONVm4ApfiyQcLldqVcl9ZOB7ULZVpITG+dw0IufwsEfnEYEdSPA/AGXBqhvXCBwYDHpZqd5D9XdgbFiolIJ73KJbXYRVXZCEi4xjsKC2WwTYDHu3x0tccLbpm4YpgilfTmd2RHq7KUp2F49OkWKQ0OePqZgxbBjZWTb/WPuuTUIsY7KjE22B7FC+D8Biwr6fH7A5aA+N1VJRyYMhzcIGqYVCFiGhNLFBambdimbFh/zeDlR4rY7HSlbYjvTXuLfR7E1iolAA775GVdnhXpR9jPba1LInCoVNYXDeH+Z0NXEjeiLQDvzNo9pj56wYfuwHM7JhIDBkenjMOvPW/l762fHncYHYH2WJ5961LyhkLVnj7+iE/GRApD85q1MV86CasKcQSuBamjlhe+pfixWBH0rwMwofxdsbpua+tMBjwsDSdxcKJcoqDcQv93gRvh9hBnvZFL4PxSXn+jLBuR6u6C80HKpoYcI+r9WFVU4GHlGqbkA8MdkzM+5ngMg7CqSiFy+MUrRR2X0+D+LVwQNgMz8EF8qfkiix1SW352UmDB56yKHqdZt/TLSzakDQGO6YSS8DDK2/97yWwZHnEyOyOsSwMcmIajJNvTe2L3r56pmElIGWlHdY46hcuP1sfj5kkRKEw1jW1GApmbgWwJXQjJuSt/z33NREN1XYxv7aKwbJQaXvYD81i/xL5shG8eDKpGYDxsD2Y2VGLGC7zeMk6oHYwu6MSZnesFPIExfKuS9QWC8eBImvtsarpfqqSCcL3rHXM2CCqH4MdVOA14OEt2OS1ny0xGPCgtMU6MPB2eB3EqSw0LRYppQQ0GWjxsEIOxYvBjtrwzCcsb/3vIeDBS+SVMLtjJWZ3NCum9F4OCjNW+8FKu6y0g6I2btDPlUacaWO6J5nHYEetvA24h/EwCKf2WB41GszusBTwoPZZCDIRLeP+SG2pcUWWOpafTTGTIMXXTFQGC5TWzlvBzGG8FtH01vde+5lcaLto5jBtFdIcZhuAzYGeuy0xFSptUlP95L1f2hb6mBRrkdJYX1ckupjHHBZDN6M2sb2eKM2AWS0FzOygEbxmeHjLrvHQz8zuqITZHUTVcYpCxmo/WG1XW5glU4u6lp/t9Wen2n6RUcpasB/JAwY7GuFtwB0b9n/9LAc8aCQLJ+ip1e6w0OdN4GGVLPAWdJmkvVyRxaWqBT49BQqCrxITOkuVXGOwozExnBl6yDqIAft5OszuoITFVKi0SamuysLBKhERJYzBjkZZPwtG0890AAAgAElEQVQqw+tA3Fvfe+hny9kdBgMeVlgY7DC7g8rwdtWeqgv92eA+RkSUFBYopYixehwFpAAkdCNyoQsDUrNYqDQuVgtOWm0X8b2hKPQ2Ah1mK06PBUpXYGZH47xlGAzjIesgBh76mdkdNCFmd1AZTV55T/UkOrZ9MVR2Rmz9WDdjy8/GpBsgylzHcwav9UEEBjtawoBHODH0vTWWAx7GWKrdwRP1uKU6kLeAXzPVpHYsslikNAFdTB4wiXWQ3m/wdcXaZ+Qfgx2tieFsiAGP5nntYyuY3WEaB+T+eTqcesbaEs1h3wZdkaWu5WdDCZFlMQyDC0TlMNjRKp4lUhkeAh7M7iiN2R02cCqLH5zKYhcDBWRErz871fZWl36tM4ix1mu02gdEdWKBUqpoK4AtoRsxAVbWS8cOAOtDN2IlS8VKQ2urmGaKWKg0HOt9EluR4lAFOWPrRyKKzwx4nCpgZkfrYsju8JB5MIynvvfQx5azOzidZaSUsw2Y3UGexJxFwc9F/WLeX5ybpn4IEU2HwY4gPA26KRwGPKJiaTpLaJxK0JxY+pZTWezioLo6FiklIgqCwY5gvAc8PAzEh/He71QesztGSvkkmtkd9eChdDXrfRLjfjgpBmya6YMal5/1iEVDW8TpsFQSgx00BQY8muehj5ndURqzO4ioCg7KR2PftCdAoKy7EP/Uj7oLhHK6DNFqLFAalPWKZmV4LVjqCft4cgaLlVoRutBeyEKl2wBsDvTcbYilCGyTRShj6SPPQh+DJuW13Yb0lzqY3dAL3QzybgPWnpa4CcDNLbTFkhnw+62AmR3BecoyiAn7vV7M7iiN2R1pinEKAQ+jq6XSJ8yqsInvywrTZDqkOCUl9tfMvJc0MdhhgvezIw9TLYbx1O8e+thqwIO1O0YKPQBnoUiidoX+zFvSdmCARUpr1+vPhm4CNYGZU1QjBjuoJh4G45QuYwEPZneEF3uh0rYCSU3HjLkqC6/WEzVk0poZXfdT0JvF/iFLGOwww1OWQUw89buHgJLV7A4aKfSVQy8DTqKyPH2thDbt8YeBoOlwRRaKDWtV0AAWKDXFe8FSr4U0PfW71z62wFixUgUgoRuRuBCFStssbhhLEc4mC5WmqK59MOX3hUVKqWVdzGGOkVQqYwaIvPxKJczsoJp5yD6gZjG7wx1md9A0PJ9/e9n3mMFAoXH52dbEXCi07uV2ySYRuaOInC0iV4rIFSLy3wZuf7GIfCf/+Z6I7BSRvZtoC4Md5ng+a/TMU78zoDQ51u6gAYzNURM8faWkzEORUovPUYP+UrwD+ra0GRQpPtc0q9ws65dt+1rZiTFkL8bpFACfU9XfBXAogCuKN6rqG1X1MFU9DMDLAZyvqo0sEsxgh0nez5K8DsY99bv1PuYIkirycoW9DjEWKm2akwEcTYB1O8YLnXlHlYwKQNQRIKAcAxymicgWAI8C8G4AUNW+qt46ZpOnADizqfa4DHaIyGNF5IcicpWIvGzM/f6niKiIHN5m++rhaeA9jPXBODXPasCD2R1DpXxCbXVX9cTzV1YsAaEq6vq8xx5oIPdSDzIMThspnVHRksV1nNbi0L4icknh54SB2w8C8BsA7xGRb4vI6SIyNEQlIvMAHgvgo0011l2BUhFZB+BtAP4YwPUALhaRT6jqDwbutxnASQAuar+V5BeLlRIFE0tBzTJYqJSqSrkgqEUsUmpCrz+Lzmw/dDOStYg5zLuOdkdoBk1/59+oquMSCfYC8CAAz1fVi0TkFAAvA/DKIfd9PICvNzWFBfCZ2fFQAFep6tWq2gfwYQBPGHK/1wL4Z7i+Xun94OE1u8N7v1ti9ZI5szuGcny0pAR4yyLgV4kP3varunH52ZHaqInBgp0UoesBXK+qywkHZyMLfgxzDBqcwgL4DHbcA8B1hd+vz/+2m4g8EMA9VfVTbTasGd7PlrwGPLxg/1JkQk0psBqX88Tz11WKU1li4ilg4amtgxgQj864YEu3xkBM69OJmHUVjKr+EsB1InKf/E+PAfCDwfuJyB0AHAHg4022x2OwQ4b8bfd1URGZAfBmAH+z5gOJnLA83wi4rcYm1s3zGSTgc0Duqc+t96/VUSSzO4biyWx7WKiUqqpzoGypbgePO+NV7R/PAZWWTZpZUWcggChCzwfwQRG5HMBhAF4vIieKyImF+zwJwBdUtdEzFHc1O5Blctyz8Pt+AG4o/L4ZwO8BOE9EAOCuAD4hIker6iXFB1LV0wCcBgAi97Ey1CCi1uwAsD50I8iKbci+QWhyTZc98la3wlMZKKKW9Zc6mN3QG3uf7sI85jYtttQi/7qYxxwS668OGNA3RlW/A2CwrsepA/d5L4D3Nt0Wj8GOiwEcLCIHAvg5srk+T12+UVVvA7Dv8u8ich6Avx0MdPjj/YzJYzFNT31uvX85iixFMTx3rW2hC++lVFCThUrtYP9QVaGPlUREg5ovUOqKu2ksqno7gOcB+DyAKwCcparfF5GTReTosK1rmqepFcNYn24xjPc+t4TTWcgBq7spETWH0z6IiKLkMbMDqvoZAJ8Z+NurRtz30W20iSg869kdVAqzOzK8yu4Xp7KsVHd/1Pn66/qc19Gmadviab+w1lZr7SGXeuigg/HTkkZu25lFp1diCeEOMOFTUKLcZXaQ90wDZnc0y3r/Wr1sbiy7gxWE0sJCpXawf4jq0eLys73+7NjbW18JpCEsikpUHYMdLnkafA9jfUA+jPc+J5pA6BUSuAwtEVHGyoosob8XEtFDe8GiJsXyOsgvl9NYCPBVPJPaZX06i9VipcZWZrEynYXaEXraUN04laVZFqeypIr9RwNGTefwsFLKNFNRyIgZ8JhUwMwOCoTZHUQuhL6Kx+yO+nGqRvtS+PqoI5Ng2uPNNG1gkVIagpkJRL4x2OGa97MnBjyaY71vrY4kWbuDKHkMBhG1pr+0djChu9BszY1Fx5nSDMbkWNCcRmCwwz0vg29qHwMeVJPQ2R2piK1QadNfT7wST55Z23+ttccBFgz1w/LkbmoWgx0UmPUB+TAMMMWN2R3mcCoLxaDur446B6cMaPrA9ylKnjNLvGHQIz0sUBoF78VKrRfU9Mx631otVkqrsAhfO9jPNmwH06InUUfh1JCfgUnbb/Vz21Qh37Kvd6EDbGKxS6JWzYDfXwXM7IgGsw3axf6Om7HsDmJ2RxM4lYVixH0iSb3+bOgmmDWYOdJnnQ9KCIMdZASnszTHet/GPJqsiZWpLEyhJpqO5aksRBHrotkip9QCZivQBBjsiIqXwfco1gfllBZmd5iTSnZHbEElr19Nqa3KEtt+5wGDVUSjMbhBNWCwY7ddoRtQE69nlV556W/rgSRmd6zJSnYHxSWGAT0HjLbU8X4w8BJGoM9SmeVniYgmwWBHlLwMwIexPigfxkt/e+zb0JjdsUroQUgMg/MyQvczkWfTDNon3batz2yix4buAqehlFV1yk7Z1WB6hVofTU0L6jGbY3oCoNPgjzMMdqzAq8s2cFCeJqufP0MBD2Z3hGN19/TCS0x4UBPBNdbtoDZx/yhl3IC/N8EIb5JtYtJ1vUokxYTBjlViOaP1embplZf+th5IiuXzF7lEryxGK4ZsGQ7o6sHPNpVVdl9ZSHvQP4iFUonaxWDHULEMuLwMwIexPiintDC7wxQWKiWyjcGn8thXNMKw7BBmTBBVw2AHUW28BJesB5JiCTZGjgPxuLQRQPJyiBzkYSpLjHiMIQdiDz64en0bQjeALNordAPs2gZgc+hG1KALeDpQrbAVwJbQjajIS3977NvQdgBYH7oRGUVWgCpl28Fl6WilBQCbQjcikJRf+yjT9Mmk2y6BA66Aev1ZdGb7oZtBFNYMeH5UwMyOsWK5wuz5EpL1LARqRiyfvcileOWVU1kodtzn7GvyPYp4Wo3lehllV0SxyHPbKX4MdqyJgy6qyktwiYGk6li7w5QYCmtawqksVKeIB83uOHgv+kssZDqpJFZ+YcYUTYjBjmR4PsPkoDxNDDS6kOJVYGZ32NXUoM5D3Q4HA9rKuO9TQXfBbmYGEdnEYEcpsQy6GPBoj5e+9tavFjC7g4giF0uQwUsAyEs7B8WynxBRtFigtLRYCpZSe7wUK7WMnztaAwuV1quN/uShkTxgkdL6LHSATb3QraCSeuigA75fbs2Ax6ACZnYkx0vGwTDMQmgG+7U6ZneskOLVPU5lSY+HqSzWeM1YoCSNK7SZRF2MlrCgKbWJwY5KOJ0lPG8Dcy99bblfY/ncUWNYqJSKUh5gp/zaU8MAKBHRmhjsqIwDLyICmN0xIMUT71izO7gqCwF2PtNW2uFdlUAYg2a1YDbIeP2m+ofdTgUMdkwkhoCH5zNNy1kIw3jpa8v9GsNnjhrF7A5qA/czf7wM3L2007hefzZ0E9bURfuryliYOhLidROxQGnSWCWuPezr6VksVroDwPrQjcgoAAncBhbmi4f3wq+TFpcMIfavB0/vxSAWKW1Vf6mD2Q3NFsbsYh5zWKz5Mecw5+bCVqaPDmYbKELK4qYGzMD393fNmNkxMV5pDstyFoJn7FeiSmKdytIGX2MDP5ghQG1q+ZjUXWB2QGwW18Uc7aXQGOyYSgwBD89nm94G5p772gqLnznW7lgh5GCcUwyI6mUluGalHTS5BRZSmMSkdT84ZWSPzcxySBqDHQQOwmklb0EkosAsxuDq4D141FSGA5egJSsYBEpSN+p5b0T1YrBjarGe5XrhbWDOM9rpWfzMMbtjBWZ3NCumAQ4PiWkIPbUm9PN7xD6jkFjzhmrCAqW1sFg4sSrPFdK2AtgSuhEVeOhrb31KRES7eS4Kak2bfdn0c3G/MG0Rc5hnBJimtQ4sUFrAzA4q4AGWiixnzTC7g4yxuEvWwXumjKepLFbFlEnUJvabSxaWaA2hydc9ad2RqXHAT2Cwo0axnul6YXlgPgwDS9QgTmWJX0wDKR4OM+yH8WLa58mlYIN2IpoYgx21iiHgwbMtKrIcRLL4eWN2R9Is7pKULtZcoLbUGIjqL00fUOj1Z2toiS8MxBANx2BH7WI42/Ua8LA8MB/Gaz+TC8zuiF9b/eu9LzmVxYbQwZfQz98UZrxQixhUIW8Y7KDIeAt4eGC5Ty0GF5ndQVQZY7+2pT6gjjVQ0raFegbK3YX56bbHdNtXEXNwoM1+pAoEQKfBH2cY7GiExQFYVTzzbAf7mRrE7I72xXD4p3D4lTCet6DLJO1tOrBS5fEZ5CEA3USLttLkROSOInK2iFwpIleIyH8buP1YEbk8/7lARA5tqi0MdjQmhjNer2ddljMRhvHQz5b71OJnjdkd1BJOZaFxOFglakXVgACzIirgqioenQLgc6r6uwAOBXDFwO0/BXCEqh4C4LUATmuqIQx2UKQsD86JWmQhuyM1FuNvHjQZ92XdDhtCB19CPz8RUeREZAuARwF4NwCoal9Vby3eR1UvUNVb8l8vBLBfU+1hsKNRMZzxesg6iIGHfrYcQLL4WWN2x26pTWUhmoaHrwMiopr1OumtouPUviJySeHnhIHbDwLwGwDvEZFvi8jpIjIuP+dZAD7bVGP3auqBadk2AJtDN2JKXcDlfL2tALaEbgRReIqsYBXFaQnAhhaeZzuYTpyytvYzqxYAbArdiBFSf2+IaI8ZNP1dfaOqHj7m9r0APAjA81X1IhE5BcDLALxy8I4iciSyYMcjG2kpmNlBZIiHy3nM7qAJpZbdwd1xMpzKUr/Ypm54K1Kaihrfl/6SwyUfGhRiRZc6npOFTZN1PYDrVfWi/PezkQU/VhCRQwCcDuAJqnpTU41hsKMVMZz1ehiID2N5cO4V+7Q8Q1NZWLsjbhwAkhexBV/WYnFFlgT0+pNPiViMdJDe5OuKtc+oOlX9JYDrROQ++Z8eA+AHxfuIyP4AzgHwdFX9UZPtYbCjNTEEPLzyNDj3GlSygp8z0zgg9896FkMs+FXQHAYSwi4/u+A7ayNElsUwzJog454P4IMicjmAwwC8XkROFJET89tfBWAfAG8Xke+IyCVNNYQ1O6gCr7U7vPHQz6yHUt4OAOtDN4JC1JuIoWRTCE0eAi3XXfCAtSHIiO7CPOY2LYZuRu0WMYf5mqKdXcxjDqP7qI8OZtGr5bmIilT1OwAG63qcWrj9eADHt9EWBjtaFcOZr4eB+DAcnKcjhs9ZQ1ioNG4ciIZjvXhrbEEe7us0pbUCAURuzYDHxwJOY2kd0+ypDA85zJ6mB4VmqHZHaCxU6h+nslCqLE+B4TRBIqJVGOygCXgYiA/DwXk6Yhxh1oSFSil1lgesRV6/asvw8h7UhYGIpFmp80GUIgY7gohhIOb1LMxTwMNDH3vqz9CY3bEbT/ybE0vfejj8DUol4yWGfcxDsMVDGwfFsG9MgUVDiexhsCOYGAIeRJbxMzZSytkdnMpSj1QG9jHxOHim5hjfH/pLzIaoKqkMEss1ksgUFiilKbBYafM89LGn/gyNK7PsxgKDRGvz8BUQCo8h7YmtwK0RLJJKjZgBg0EFzOwIKobLfR5zjb1hH08uhs9YQ5jdEa9YUsmbPPQZv6qdBK/vgdd2W7LQTgZCrz/byvNQIGUG9Aklu9BwDHYEx8FYGKw1US/2Z3ms3ZGkGA/1sQeNJpFKn8QSUCMaYTHBlKrYX/Pm0A2gIBjsoBp4zTzwNED32scWxDjKjAQHTETtYlbCHm33RRvHu8SOqd2F+dBNICLjGOwwgYMxioGn4FFoRrI7OJWlXW0e6mMZ9HAqC2PdKfOyjyYmqUKgAfRYb4JqxAKlZmyD7wQrr1XUPBXX9NrHFnj/fEWMRQZ92w4WQqNwePygKbBAaDN66KCDXpgn34h0phOOwgKlKzCzg2rEy0/E7I7ymN0RXOonRNSMVParOrKHvGYueG33oCZeRyxZZcYwm4RoMgx2mMLpLGF4GqB7CChZ7U9+vsgATmWpzsNhz5NYBurULu43ROQQgx3meB+Q8ayUyJ3Q2R2xDMpT5TmTwcsAjl+tlKD+UprZDDGvitIFi8pSuxjsoAZ4PCuzmo0wjIf+tdqf1oKJRqaypMzzQL0MBpLCiH2/igVXZAlnIc1ARp26LQZFis9Vx5Sa0gGdYbUnik/Pmj20BhYoNYnFFMNgsVJKmAKQgM+fUqFBHuKr4yEvXgsANk2xfezHjmn7h1rVxRzmhlyUClq0k9Iyg7iPiRUxs8Msa1egq/KQfUDNYnZHOczuoAh4zmTwMpWlTnW9Zi9ZBJSsXn82dBOCGpw2Ym2KTJ+FV6lhDHYQrWB1gD4MA0oUmVADpxADdRYqpap4yLclxSCZQd0F1oAIiTU4yDoGO0yzdgW6Kp6ZkdXgkbXPlpHsjtCFSoli4jnbhdLB5WdHspYFQUTVMdhhnrVBWVUeAx5WB+jDeOxfIoM4MJ1e033Y5OGOV+nTFWORUnIjdGZEtNNIhhU2pSSxQCkRNcxq4VdrVSJ3AFgfuhEsVNqmNnfBlPqVyqmr8GUd+xaLlNarqf6IsFhqF/OYw2Ll7VIoOFrna0yhv6zQGaDHYM9uzOxwgdkd7WN2BxERGcPDfZqYeUQl1bEsLFFMGOxww3vAwyNPAQ/rrPaltc8Va3cASKtQaWw8T2VpAvepuDEIMZ2FtQfm/SUO3mkNzGKgMRjsoJZ4O0P1hv1L5BJXZbGDA1ciIqKoMNjhirWr0FV5HJBbzUjwyGpfWvtcGcnuSBWvxFNKGODJsB+IiKLEAqVE0egCXCaN6sJCpTSp7Wg2rdjboa7u/rD4+lmktBprbY2w8Ci1bxFzmJ/wwubiujnM7yyx7UbwosQads0Iep0mC973G3zs+jGzwx1rV6GrYnZH2qz2pffPFbnGqSx28Ao/UT1aPNZ0F8Yv39rrz7bUkmax+CilRkRmROR70zwGgx0ucWBGo3gMJtFqRqaysFApEZENVQNxTR0/GRBsxaK59K3JdCN5HRSGqu4CcJmI7D/pY3AaCwVgMQd3LVsBbAndiJKs96/VvtwGYHPoRhDFgVNZKBWcAkIDupjD3JCLTz100EEvQIuIXLsbgO+LyDdRuBylqkeX2ZjBDre8D8w8nqlaHaRTnHYAaHLOZUmha3ekos1DurV6ASmwXLejrsG6hbodXp+bzJqmDoVHqb1ecuHvp9mYwQ7XvAc8qDnWg0kMHFFJoQbmTWcmkF0c9PrFQJ4/Cx1gU9hshy7mMYfFoG2Y1KgskuR0wCmouV2YweK6JscA7RYoVdXzReQAAAer6n+KyDyAdWW3Z80OCsjjwdlqgU2qh7V6OEZqd1A7rO1+0+KJJ9FoLBZcWn+JhTmJUiUizwZwNoB35n+6B4CPld2ewQ73Yjs7pvpYDyYxcOQGC5XGJ4aBlvVDHJEnLDxaWV2ro3QxfjUZmt5yngPz4V16LoBHIB84qOqPAdy57MYMdlBgHs9WOUiPm7UAIrM7iKJQd/Cszq/Puga6MQTRLGNAgojS01PV3XNnRGQvVLgMx2BHFKwNzqryGPDwwnrfMnDkRujsjlR4P5zHgoPKcDz2vdU2hw4+hX5+IorB+SLydwDmROSPAXwEwCfLbswCpdFgsdJ2scBm3Ph5MoeFSuvXRp9yCVpq2zT7NYvTlsN+cmWwACtXXImbQtCvaYqVES8D8CwA3wXwfwB8BsDpZTdmsIOM8HjG6iXgYb1vvfRjSEaWoSUiIjKouzCPuU2jV1Tp9WfRmW13FQmq2QYwWyhBqroLwLvyn8oY7IgKr0YT1Yefp1UUgAR8/lSWleSuZ0MTV6/rznSpM5bNq/XtS+WYRjQJBjcIgIh8F6snU98G4BIAr1PVm8Ztz2BHdDyfJVvPQBjGS1aC9b710o8hMbsjGE5lmU7M/UercQBPRET1+SyAnQA+lP9+TP7vVgDvBfD4cRsz2LHbrtANICJzPAcPGxI6u4NokPVYLlXnMcvEY5sHhXoNCx1gUy/AE1MVXcxhjrU+qH2PUNVHFH7/roh8XVUfISJPW2tjBjtWWASiWOva8wDN41mrl6wE633rpR9DYnZHMoVKPR/GaTxmujQv5iKl1tvXkP5SB7MbwgREvBX07KGDDsr3VR8dzFa4/yTPUfpxO7Po9FhbZRq7MINF0+f7lW0SkYep6kUAICIPxZ6j4O1rbcxgBxlkfVBOaeGokyLHqSyjeRhYsm4HjcNpRaUMrlgy/eMNz4JoKkhgTSqvk4YTkWuQnUDvBHC7qh4+cPuLARyb/7oXgPsC+C1VvXnIwx0P4AwR2YQst3grgONFZCOAN6zVFgY7VmF2B03CS1aC9UCSl35MHKeykDXWD21EsSkbGGOwhShVR6rqjcNuUNU3AngjAIjI4wG8cESgA6p6MYAHiMgdAIiq3lq4+ay1GuEy2CEijwVwCoB1AE5X1X8cuP1EAM9FFk1aAHCCqv6g/DMw4BEez1zJEkufJU5l4VQWIuM4wC2PfUUjDJs+w4wJitBTAJw56kYRedHA70C2GsulqvqdtR58ZtrWtU1E1gF4G4CjANwPwFNE5H4Dd/uQqj5AVQ8D8M8A3tRyMylJW0M3oCTr80699GPiBhcBI9/aWN5vewvP0YSFBh7Ta1+0qYl+J6pZD53QTWiUq9fncaqkT/uKyCWFnxOG3EcBfEFELh1xOwBAROYBPBbAR8c83+EATgRwj/znBACPBvAuEXnJWo31mNnxUABXqerVACAiHwbwBAC7MzdUtTha2oiJTsuZ3REeszuIhmN2B6+GEhXw63K1EEVKWfMkqO7CPOY21Vd3g8ijXZhBt9kx7I2DNTiGeISq3iAidwbwRRG5UlW/MuR+jwfw9VFTWHL7AHiQqi4AgIi8GsDZAB4F4FJkiQ0jucvsQBbRua7w+/X531YQkeeKyE+QdcBJkz0VD5jhWc9CGOQlK8F6v1rsx22hG2BPitkdbV+R525XnvXDmhfMqLCvyfco4ve/158N3YQoNTywJodU9Yb8318DOBdZssIwx2DMFJbc/gCKS/TsAHCAqnaBted0eQx2DCuLt+qUW1Xfpqq/DeClAF4x9IFETlhOwbE5uKoLz5bbFfO+RHbsCN0Aik0bU1koHdyf7PDwXiw4mi7RAAYM1sApKm6IyEYR2bz8fwB/AuB7Q+53BwBHAPj4Gg/5IQAXisir86yOrwM4M3/sNWtyegx2XA/gnoXf9wNww5j7fxjAE4fdoKqnqerhWSrOqBUgYsnu8Bzw4OW6ZrBfq/P8OYqQhxN4WslrrQrW7SAio7qcw0a23AXA10TkMgDfBPBpVf2ciJyYLyKy7EkAvqCqY78NVfW1AJ4N4FZkhUlPVNWTVXW7qh47blvAZ82OiwEcLCIHAvg5svSXpxbvICIHq+qP818fB+DHmEos9TuoPVxCdXrsw7UZqN2R4jK0XJXFrpRrV8T42lkDgwr6Sx3MbuBKJESW5XU1Dx3y91MHfn8vgPeOehwR2aKqW0VkbwA/zX+Wb9t7jTofu7kLdqjq7SLyPACfR7b07Bmq+n0RORnAJar6CQDPE5E/QjYSuAXAceFabInnM+YYz+IsYL9W5/lzFCEWKiWqXyxBBi/HBy/tHBTLfkIUEYX4WkVntA8B+DNkRUiLJSsk//2gMg/iLtgBAKr6GQCfGfjbqwr/f0H9z8rsDqqKmQnTYx+6kGJ2R6zaGHS1nRlDNAmuyFIfr8GcRC1iDvMNTnXuYh5z0ZQJoKao6p+JiAA4QlV/NunjeKzZQVPxXHOANSaawX6tztLniIVKg+CqLOlh3Y7qWFeHHBlXJHSRWbBErVNVRbaay8QY7Kgkliik57NmbwNzrswyPfYhrYEDKiry9jVRp5Rfe2oiXiKWiKjgQhF5yKQbM9hRWSwBD6IiniFXZyloaCC7Y9UC4AmI9ap8G8GjWPuO6sdBfT2qfK7Z57XgKinjNZYtw2mSsTkSwDdE5CcicrmIfFdELi+7sYCoWpsAACAASURBVMuaHVQHz0UWvRXVZN2J6bEPiVwftsmfWGpPsF5EUroL85jbZPvCZA8ddNDuqjKsk5GOXZiJLdB21DQbM7NjIjxYUIyY3UFTCpndwaksVNTU4Yx1O6gpPIYBC1GsIOFCU1kV4x43khVCqH2vU9Vriz8AXld2YwY7JhZDwMNSGn5V3gbmrDsxPYt9aOkzZGAqS4piHahy4OWXta9Hz/vSpMEtTgMxq9efrf8xOYifSp/9R+Pdv/iLiKwD8OCyGzPYkTxLgzUKz9pZMlEFngdVZcV0yI41UESUkpYDO/2ltAbGk2ZgMACzx3p2hUsi8nIR2QbgEBHZmv9sA/BrAB8v+zgMdkwlhuwOz7wNzC1mJnhjsQ8tjT4NZHekWKiU0pLSVXsrr9VKO2hyKQSjW8JABqVAVd+gqpsBvFFVt+Q/m1V1H1V9ednHYYFSAqve0UreCsASBbYdcVZ/917Y0dOhLNZ9iJoVSxFZIqqNQqIKiFUJbAzDzI6pMbsjLGZ3pMdiHzK7YwUWKm2Wpd1tWpzKkobQn8vQz+8Rs2kooB6Dv1QTBjtqEUPAw/PZs7eAhwfsUyIit3gIr0+bg/6mgzIM+pjWxXzoJhBFh8EOKvAc8PDEYmaCNxb7kJ+fpMWaoeB9cORpCVqKC/cRl1INODS5IkrXzXxCskpEDhWR5+U/h1bZlsGO2sSQ3eGZt8tYFgfrg7z1Ke3BqSzRiym2FmugqCqr/WBl0G6lHZSsSVdGoUA815yi3UTkBQA+CODO+c8HROT5ZbdngdJaLQLuI8IsVkpebAWwJXQjiIiIqC4LHWBTb6qH6C7MY25TWhchu5jDHC9SEYBdmIktMPcsAA9T1e0AICL/BOAbAP6tzMbM7KCIeDvIM7sjPpYutxvI7ggpRHaH1Svz00ohUyZG1g7fofej0M/fFAsZLxbaQK3glBQKQADsLPy+M/9bKczsqB2zO4iIAGRTWUp/HVFlPFSX09QStFz2k8ilXn8Wndl+K88Vc8ZFDx10MF0WDlEJ7wFwkYicm//+RABnlN2YmR00gqUr1FV4+0Jhdsd0LPaf188OUUCxZsVUZbUfUr9yn/rrr0tN2TX9peaKaRKRLar6JgDPBHAzgFsAPFNV31x2ewY7GpHWPEEissrAVJbUCpVaHawSxcBb0GGS9lpaftZbfzvSa3D1k7oFb+vGsE9PYYnI+1X1W6r6FlU9RVW/LSLvL7s9p7E0htNZwmkqZ7kpHgptWu5Ti/3n9bND7rS1qy3Bd2V7y4ewJqX6uolaxikdZMUuzMS2hPL9i7+IyDoADy67MTM7KFKWp14QtclAdkdqmN0xGY/9xivf1cRaJJSIiGolIi8XkW0ADhGRrfnPNgC/BvDxso/DYEejYpjOwvoD7bBYe2KQ5QCSh/5LWGpTWYim4THo4wWPB0RELqjqG1R1M4A3quqW/Gezqu6jqi8v+zgMdlDELA/OKX4MFFJL2trVOFBMG7NY7OJ7QxFYXMc5d7RalcDGMAx2NI7ZHVSWh+wEywEkD/0XioGpLCGzO0Lg1Xl7LB++qLxQA3sGFMZj/9CA4IVNicACpS1hsdJwWJ2NQvL6uYmM9+KaKdkOf5X3FwBsCt2IMfg1GNYk+0fqx6yFDrApXLHPLuYxZ+hi5SLmMF9DtLbK66rrOal9uzDDQFMBMzuITPGQnWD5y89D/4ViILuDmsOpLHGJOTOI+1B4Id+Dlp67u9DMRcZFRg6Himz1DzJGRNaJyN1FZP/ln7LbMtjRGjsR4sl5nc5ieXBO8fP6uWkAp7IQ+RbDVAUGW6qJ4T13pGzQoMyVe17dpxiIyPMB/ArAFwF8Ov/5VNntOY2lVTFMZ6HmbQWwJXQj1sC8aJ92AFgfuhFhpJ4W7kmTU1l46CKKQn+pg9kNk0916fVn0Znt19gifzhVhZx4AYD7qOpNk2zMzA6qyOtVah7M08GpLJQor4fnGFi/+h3bV6D1/iYiorpcB+C2STdmZkfrmN1BZTC7Iy4sVLqbApBAzx0iu8Njwc21MEuGUmW5GK3lthFRa3ZhBt24zs+vBnCeiHwawO50LlV9U5mNmdlBE/B6+TC2S1s0GrM7RmOhUiIXYq75klrdDGaiJC2ygSdR236GrF7HLLIrh8s/pTCzI4gYsjt4pbp5zO6ICz8zu4XM7ohdLLsZ63bYxQyCdnjMoOK+QUQ1U9W/BwAR2Zz9qpXCx8zsCCaG1Vk8YnZHOpjdMVrC2R0hrijHeIU+tSvzZVi/es+vvz24/1IDuPpJi9jVyRCR3xORbwP4HoDvi8ilInL/stsz2EFT8DqdxRMPA3aeQZfHzwwRERlgPeCzEP9otu7gCKfLUKROA/AiVT1AVQ8A8DcA3lV2Y05jCSqG6SweMYc5HR6mAiWKU1maw6ksa/PyNRBjgdu6cMpEe+rua49TdMiejYgzc3JKCokty2ijqn55+RdVPU9ESn8zBs3sEJGDReRsEfmBiFy9/BOyTVSV1yvVnrIRmN1BTeBUllbFeEJm/cow2eZ1/7E+XYl26y7wgmIV/bgGyBkGi2NwtYi8UkTulf+8AsBPy24cehrLewC8A8DtAI4E8D4A7w/aotaxdgdRWrwGCIloTakMhFN5nd4k9r70l5obnHeZeR0dD8l8NNT/BvBbAM4BcG7+/2eW3Tj0NJY5Vf0vERFVvRbAa0TkqwBeHbhdVInXnGkvecwAp2NMg31nFqeyELXL09de09qeSjHJVBBO96AE9Tqz6PT6oZtBRqjqLQBOmnT70MGOJRGZAfBjEXkegJ8DuHPgNgXA2h0UA55Fl2clQLgDwPrQjQgjxCCizfoLVnaxabFuB+t2EBmziDnMc/ouUaNE5F9V9a9F5JPILo+toKpHl3mc0MGOv0Y2yj8JwGsB/CGA44K2KBjvAQ+vZ9ZeznYBZihMg31nFrM7fOOVZwqJRUppCr3+LDqzzCCoW9Bg0AbEWSOrgl2YwaKbsc1Yy6Ut/t80DxI02KGqF+f/XUCFuTdkldeAB9XHU/CIMglndxA1gQPw8hgsC6uJ/uf+3whmk5AnInINsoHhTgC3q+rhA7cfC+Cl+a8LAJ6jqpcV76Oql+b/PUxVTxnY/gUAzi/TltCrsdxbRN4lIl8QkS8t/4RsU1gsVhqGpy8PDyuzWGWt71ioNLjYV2WJZRdL/Cpd7er6ykusGOYKKb92IqJyjlTVwwYDHbmfAjhCVQ9BNrvjtDGPM2zWx1+WbUToaSwfAXAqgHchi/yQe8zuIGZ3UEWcyuKb56vzXg5XrNtBoYXI2FjoAJt6LT9peF3MYy7SC6A9dNBBeu8praSqFxR+vRDAfoP3EZGnAHgqgANF5BOFmzYDuKnsc4UOdtyuqu8I3AZjvNfu8MrLGS/A+hPTsNZ3VoKDnMpCRAnysCJLrDwHSY1oM3BQfK4u5jA3ZYpY6YDOBozPwty4xu3UhH1F5JLC76ep6mBmhgL4gogogHcOub3oWQA+O+TvFwD4BYB9AfxL4e/bAFxetrFBgh0isnf+30+KyF8hWzN396dVVW8O0S47vAc8rAzgKBxPwSNKGldloSZwUNue2Pu66jEq9v5wqo4AAeU2gtMbx1AI+ug0+RQ3jpiaUvQIVb1BRO4M4IsicqWqfmXwTiJyJLJgxyMHb1PVawFcm9f3uEFVl/Jt5pBlglxTprGhMjsuxcrE5RcXblMAB7XeIiJXA3RrGQo0OSuj0cDZHZzK4lvTQSNO44gXr/BTRKxP07A2RYaFV+Okqjfk//5aRM4F8FAAK4IdInIIgNMBHKWq46alnAXg4YXfdyIrhfGQMm0JEuxQ1QNDPK8vzO4g76wGjxgoogEcbKXN6qGqSXW9ZmYRkHHdhXnMbbIzuG+b9eALxUdENgKYUdVt+f//BMDJA/fZH8A5AJ6uqj9a4yH3UtXda0Sral9EZsu2J/RqLBtE5EUico6IfFRE/lpEeMpJAXmKLltbXYRoShq6AS3iqixUFdO2beGKLCb0lxpN16c19JqdLkE+3QXA10TkMgDfBPBpVf2ciJwoIifm93kVgH0AvF1EvjNQA2TQb0Tk6OVfROQJAG4s25jQBUrfh+w07N/y358C4P0AnhysRaYwu4O8s3rJ1Fp2h5XPCguVEtWGWQ/kQROZbZHs+9amfBB5oKpXAzh0yN9PLfz/eADHl3zIEwF8UETeimzC83UAnlG2PaGDHfdR1WJnfDmPAhEFZHWAPoy1QTuRU5zKMj3W7SCP+NmngDjNhOq2CzNYdDOOWZuq/gTA74vIJgCiqpXyVUMHO74tIr+vqhcCgIg8DMDXA7fJGGZ3EDXDWqDIymeFhUopQZ5i3NbUcRV/2oCDp0wCT20d5LntI/T6s+jM9te+Y6TGFQits3ho66vRdMCpf86JyNNU9QMi8qKBvwMAVPVNZR4naM0OAA8DcIGIXCMi1wD4BoAjROS7IlJ6/dz4eU+h8zhhnLU76uOpL4laxLodVFWd+wwPzX4sVbw/64k0LqYr50RGLedybh7xU0rozI7HBn5+IiKiDNPZp8epLCtFeCWcqDZljhcLHWATp3mU1XoGBVFDVPWd+X/frqq/mfRxgmR2iMjeIrI3smtNq35U9VpVvTZE2+xidkf7PH1ZMLtjMtb6zcrnZEfYp09pVRYi8osZFETh8SJF7C4QkS+IyLNE5E5VNw6V2XEpVs7MXj61lfz/B4VoFBERUavazFSwUhbGKtbtICIi53ZhBl3X9R5XUtWDReShAI4B8H9F5AcAPqyqHyizfZBgh6oeuPz/PMPjYDAuVwKLlbaPZ7/1sdqXLFRKBZzKQtbVGSCr67BsYbrONG3g556IyCxV/SaAb4rI6wG8CcC/AygV7AhaoFREjgdwPoDPAXhN/u+rQraJyC9rUzLIN05loQlVLaZYlbcK+5zqUE7T+40l1vaJlPqeGjNNNkEfnXJ3ZFAyOSKyRUSOE5HPArgAwC8APLTs9qFXY3kBgIcAuFZVjwTwQAA3hm2Sdazd0T6r9SY8stqXDBRRQFyVhYhi02JAp780fqDcXfCcFb0HV4ChRF0G4DAAJ6vqvVX1pap6admNQ6/GsqSqSyICEemo6pUicp/AbXLA+3QWao61KRk0GStTWXYAWB+6Ee1jSnu6rM62I6p6XGpqapGFKUsJ6GIec+4vcAI9dNABV9OhqRykqhPn+4YOdlwvIncE8DEAXxSRWwDcELhN1DgrA7kqeAZcH/YllVQsY02+MGBEqeDgnwaMGuBzWVhqg0LQKzstyIeDReRvAdwLhdiFqv5hmY2DBjtU9Un5f18jIl8GcAdkdTtoTczuoFGY3TEZa/3mMShIE2tzVZYYeOuvugfELFJK1IpYMizK6qODWWZikC0fAXAqgNMB7Ky6cejMjt1U9fzQbaA2eRzIMSOBUhR4Kkuo7I6YMxM8Hn4pDdN+7rgiCxFRbG5X1XdMunHoAqU0lXQizVSV9YKbVtM4rfcbETXO6uGJKEZlVoJZaDYlv9efbfTxmxTZdIXJecr0o6o+KSJ/JSJ3E5G9l3/Kbmwms4NS5PHyIrM7qE0ePyM0MW9TM9bCK+VEo3HaDxFRGcfl/7648DcFcFCZjRnscI+1O2gUazUoBlkNHFnvtxA4lSU6McTRYgsOVZX666d6xXy8a8gi5jBfQyoYVyxp3pa9gF/dHroV7diFGXRNnl9PRlUPnGZ7TmOJgufpLNtCN2ACzHGmNnn8jBDRKguhGzBGXV9rll9jk9p63WWmfBDRSLw87I+IrBeRk0Tk7PzneSJS+gocgx1kAAdzzbFeg4KBIz92hG5AGraHbgAB4KEpJA7o6xM6+BT6+YkoBu8A8GAAb89/Hpz/rRROY4kGp7O0y+oUDKoHp7KYw6ks9WtjKkvT/cepHDSIK7I0j/VGXBmcJpPacrrk3kNU9dDC718SkcvKbszMDjKC2R3NYXaHf/x8EBERjdJfGr8qSXeBFwTdY2A7VTtF5LeXfxGRgwDsLLsxMzuiwuyOdjG7I27M7lgtcKFSIu/qviLOzBYiilRvI9Dh1M7KdmEmtiWJXwzgyyJyNbIc3wMAPLPsxgx2kCExLA9gFQfu/vHzkcxUltgGsF6nBqQWz67r9XKKQ3nsKyKisVT1v0TkYAD3QXYWeKWqll6+iNNYdiudDWMc5+C1i1Mw6sF+JAoihhlSvPJH5BuL0hLRCCLyXABzqnq5ql4GYF5E/qrs9gx2kDExnHlTPKzXOwmBq7IQUcOmHfyGWAUkhuVnLQcdFqJKy29Ut6GUtOLUiKaeY3FdSul0VNKzVfXW5V9U9RYAzy67MYMdK8Qy0GZ2R7u8ZCVYH7h76ceQYjlGTUEDPW/bgwBmK8Sr7kEx95V6WR7wT4LLv06tO0E9PE81ExaTmq9HDs2IyO5JzCKyDsBs2Y1Zs4MMYm0CsoT1TlZjodKoxLAEbVNYt4MoCb3+LDqz/cafp4s5zCVwcWcRc5hP4HVatAszsQWwPg/gLBE5FdklrxMBfK7sxszsWCWWK6fM7miXlwM6szuIKELMbiBqV9mMEWaWENF0XgrgvwA8B8Bz8/+/pOzGzOwYKpbMAs9L0cbyHhDVjZ8NrspCZBxXGSmPfUUjdDGPuYGLl8yYoNSo6i4Ap+Y/lTGzg6g2Xr58rGd3WMQ+W42FSqmi2GohULO4v5ADkU0XWMXV6/NTJoVaxGDHSJzOEl4s7wFV4yVoFBI/G1Qz7lKjNXFIYpHS5sW8IgsREZXCaSxEtfJS3Y1FN6tjn5nCqSw0iH1VDy9fY03yWlA3cf2lDmY39EI3Izk9dNAB+92KXZiZaAUha0Tk/ar6dBF5gaqeMunjMLNjrFgudTG7g7xhdocPnMpCRNS6Jqf4RDx9qLtgdwDoaalaopY8WEQOAPC/ReROIrJ38afsgzCzg6h2Xi6LMVOhOkt9xkKlwbI7YsUlaKlOLLxph4f3gseGiSWRWbERnK6XnlORLTF7EIBLsfKMT/O/r4mZHWuKJbOA2R3kDbM7iMgID3U7iGK3wOwHolSo6ltU9b4AzlDVg1T1wMJPqUAHwGBHSRxsU1VeBupcZcQ3C8emBKeytJ3mzatZ5aXcVzG+9oinVKzAwBcR0VCq+hwROVREnpf/HFJle05jScoi4LZgDVP2yQpLU1mIU1mIGuBlNuZaPEzf8Iz9S2SOQqKqASMiJwE4AcA5+Z8+KCKnqeq/ldmewY7SONimqmI5WwyJfejDDgDrQzeC6sC6HUSZSfdTBgBWY5+40kcHs7HXACFPjgfwMFXdDgAi8k8AvgGgVLCD01iSw9odNIhTWaqz1Gf8XATBqSzpYd2O6mJ/fRSVXn925G0xLOVpRUxZB9QKAbCz8PtOVMjpZWZHJczuoKqYmTA99iGtgVNZqGg7ssr9KUr5taeGGVJElIb3ALhIRM7Nf38igHeX3ZiZHUlidgcNspSpQD4lWKg0VjzMkiWpFCm1hH1eC2YwjNdYtgwDvlFR1TcBeCaAmwHcAuCZqvqvZbdnZkdlsWR3eC5W6g0zE6ZnsQ8tFSqN5bjkTNtXVmO6as+r0vZZPOzS5Fg3gygJuzCDbmQHb1X9FoBvTbItMzsmwsteYbH/m8HsDnJMQzeAkuBlVXHaw0vdEC/tNK6/ZD+bIsRA1EKWSWwDcBpPRNaJyLdF5FNDbnuziHwn//mRiNzaVDtcBjtE5LEi8kMRuUpEXjbk9heJyA9E5HIR+S8ROSBEO+3zPJ2FyAJLASILQUBOZSEjPBV0jX2Q6/n1cTpHu1ro7+4Cs5qB5qaQsJArFbwAwBXDblDVF6rqYap6GLJVVc4Zdr86uAt2iMg6AG8DcBSA+wF4iojcb+Bu3wZwuKoeAuBsAP9cf0ssDCxS5q3/vVwOtDR4H+SlDykpsQ6G2jjExtp3oXkK9MTKc4CHKltkxsJU2H/xEZH9ADwOwOkl7v4UAGeOeay7iMiDROSBInKXqm1xF+wA8FAAV6nq1araB/BhAE8o3kFVv6yqy2kLFwLYr+U2OsLsDiKKRApTWTiQJSJL2g7sLISfjtGmSTMlOGWkgLVq6raviFxS+DlhyH3+FcBLAOwa90D57IsDAXxpyG2HiciFAM77/+zdeZxkVX3///eHYbqnewYERBMWFRBciAvoiBijoBKDJoKJGCESMTE/km9MNJqYuPBFQ/JNYswvGhMTxW8iKokLGiMqBIwCagIIyiK4gQQFISIiS0/3dA8zn+8f9zRzp6aqu5a7nHPu6/l41GN6qm5VnTp3qTqf+zmfqyJx4W2SLjGzy8zsScM2NsUCpftJuqX0/1slPXWF5V8h6fx6mkJRwHal1v9Ue5tcjH1IodIdbZG0tuU2ADWK8TBUl1g+KwVt00eBVKARLqu7Rsud7r5x0INm9guS7nD3r5jZ0au81omSPubuW/s8dpak33T3y3te/0gVl6N94jCNTTGzw/rc1/d8npmdLGmjikhQv8dPXY5KpTctokpkd6As5qksQIRynY6R+tdiSlkwTHvAOHI99mBFTPtA5J4u6Tgzu1nFDIxnm9nZA5Y9UYOnsKzvDXRIkrtfphGuTZdisONWSQ8r/X9/Sbf1LmRmx0h6k6Tj3H2x3wu5+5nuvrGITo17NjT1X4OpS63/qTsxuRj7kABRNJjKkhYGa2gCwSQgKYvTU203AWNy9ze4+/7ufoCKYMbn3f3k3uXM7NGS9pR06YCXOt/MPmNmLzGznw63l5jZZyT9+7DtSXEayxWSDjGzAyV9X0Un/kp5ATM7XNJ7JB3r7nc038QUzUtUUMYDYpqagdEwlQXovE0a4bxXA5jCEIdR1gNThxq3qGlNq+/5WSB5ZnaGpCvd/dxw10mSPuzufU9TufurzOx5Kmpz7qdidsetkt7l7ucN+77JBTvc/X4z+x1JF0haI+mf3P36ng58m4rD+TlmJknfc/fj6mtVDIOLLkut/2OZBA2gMgwMgDyNu2+PE+AhKISWzGtGs1FmziJl7n6xigKjcvfTex57yxDPP18T1t5MLtghSSGac17PfaeX/j6m8UYlN+Duh+wOlMWc3RFjwCim/srheDQBV//qTjlp6sx96ptSXf0U4yGoLrF8VgKKaMDi0pSmp5b6PragWc1Q525krWWsrJf0o+bftm3btEv2dV3M7Ex373cVmJ0kGewAdpbaL/JYfj0CdWEqC4bEILbAWX0AACRJZrbXoIckPX/Y1yHYUanUBtz9kN2BspiyFXoRMAIAICsVBD+XNk9ral23al9Q7wMZ+qGk72rHXN3l3N2HDvsiKV6NBRiAK7OgbTFdlSWG/WFLe2/dxlVZcr2ySAybEkYX21V72r4iStvvX5cYjju59i12sqjptpuA7rhJ0tHufmDpdpC7HyjpB8O+CMGOyuXwq5D5iAAQvdgGs7Gqq5+IVwNJWphrLoM55+DAAtm1qNc7VFyatp+/HPZFmMaCzKQ2lSiFqRhMZRlNzP0FRIq6HYVY63bEeKhtEttnNaravuempQ1M2QD62aZdtJBBSQJ3f9cKj/3tsK9DsKMWqQ24+6F2B5C+GI5FHStUyqAIqE9q+1eMl58d5fVT62/UgsvSok1m9kt97r5H0tfc/Y7Vnk+wAxmKYYCXm5izFbp+yhEDcQna6nBYBYCBRg0ILGhGMwQQhrNOcdSmQVteIelpki4K/z9a0mWSHmVmZ7j7B1d6MjU7akPtDgyLL7v8xFSoFEBn63ZQ1wUAkLZtkh7r7i9y9xdJOlTSoqSnSvqj1Z5MsKNWOQQ8UkXfV48BfJpi2BdavCpLGzgDNR76LX9tX7Wj7fcHAIzqAHcvX33lDkmPcve7NMQPTKaxYBXU7mgGUzEmE2P/xTz1p0O6MJUFeYm1SCkA1GhJ05oShWcn5W5aXJpquxlV+qKZfVrSOeH/J0j6gpmtl3T3ak8ms6N2MZxVnVSq01ly6HugCuwLWWtqqgKbUbfFPmWny8iKApCvV0p6n6TDJB0u6f2SXunum9z9Was9mcwOIBoxZif0ijlbIYX+6zKuyoKWNVXMNTa5fe629i326ZVVmZFEX2eBq7igCu7uZvYlSUsq8nW/7O4+7PPJ7GhEDqfDyO4ARkedkygM/ZWI1qV4hprf8ljJOHVCqC3SqtimACxUNJ18UdNDL7s0wrJAnczslyV9WcX0lV+WdLmZnTDs88nsAKKSQnZCzNkdGIxrh2aNS9AiFdQkaV+b66Ch917aPK2pddXXf1jQrGaSPQFYn0VNa5p6G6jHmyQ9xd3vkCQze4ik/5D0sWGeTLCjMTn8Qky1WGkOfY/hpBAs6rKOTWUBxkVAoD707WiYUhIlpohgkG1bd9HCXIrjtYF2WQ50BD/SCLNTmMYCRCeFLy+mZwyPvopCG1NZUpySkbumirnmKoWvJ3TDXJ7TLEaZarKaBU7+IA//bmYXmNnLzezlkj4j6bxhn0ywo1E51I9INXUvh77HcPg1Phj7ARKQYpAo9sMOQR5gB5md+R5LVbVAgDq5++sknSnpCZKeKOlMd/+jYZ/PNBYAqB11TrZjKkttqNuBruCKLADQGe7+cUkfH+e5BDsal8OvRGp31C+F2hMM4JEYl2QNvyeDI4yL2hIYBccaABkxs/vUfxKyqbgi7VCDEIIdADKUQrCoLSkF/dBZdQ7cmsqAwWBdC+R07fNiB1ypBE1y30VLm9OvaePulfxYpWZHK3KYN59q7Y6UxD4JXKL45ijoq+22tN2AfFGbAXVL4aspB3NtN2AMKbYZQNYIdqBjcgg0YTj8Ih+sw/sBV2WpRoc3oYFiP+QQCNuOQTlqME9GaXPIzsOQCHa0JodfimR31C/2X88SGQsAACQm9oBPjkHimlV52VogFwQ7WpVDwCNF9DvaQmBoO6ayYBUMduIfkLaJ7aM5Vfc127UkaYFMkMkQ28EQKFCKCaV6ZZaUUGxzfPTdYB0uVNrGVVmaRAHO1dFHuudnVwAAIABJREFU7Uu1aCdXPUnG0uZpTa2jMGinrZd0V9uNaNhWk+aIBC0js6N1ZBm0g36vFhkLw6OvOinHs9AcRneWwszDKnTlc6KzFpem2m5C43KvOTLUdUqRHYIdqAC1OxAzfpXHi6ksQKMoUtqeJqZu5BhUXQlnrwGsgmBHFDg91o6U+j2FATsZC+lJaR+oWBtXZWlSLoParg3e0JwU6kak0EagYvNr8s4wQbMIdqAiZHcAwyMw1Ek5DtxTjpelEhBiwAvUYmFuvJpzC9SqA5JBgdJodLhYYKtS6neKbY6PvovXFklr224EgBRRLBSIzoJmNdPWSdD1yvPEwihc9EEJmR2oENkdIGMhPSmfmgcilMKsw1iQtdKuOvqfdVoLskmA8RDsiAqDjnak1O/8ih5fbH1HYKh1bdTtaPJsSyrTNNCsqraL2A6pTeKsKQAkgWAHKkZ2BxjEY1RclSVpdceL6xxYEhAChtNGgKejQaVF5XuVmQWmFKNhBDuik1KWQU5S6vcun07LTSyBoZS2f6CDmBpQj6b7lfW4HX0xsfmEAwc5B3QQFwqUAqjBvZJ2b7sRfVCoFD1ckrXdCGSHQw3aQtFW1GBeM5oNJ9sWNa1pLTbyvovrpeneDLx12p71s15k6PXaKoKJJWR2RCn1s6xMZQEwqg5NZaFuB1Cd3Kc6MGjJApkMQDsIdgAPSCnIxFSW8cXWd0xlQQao29FNVRxOGcwjI7FPLYkt6MJVZlA3gh3RSn3gQXYHYhnEA6to46oswKiqDAoQ4Jlc7hklqZhbefC+tDmuwX3TKAiKriPYAewgpSBTbBkKwKSYylILBrYAgBoQTEHsKFAatfsk7dZ2IyYwL5Ge1nEUKh1OLP2U+jEHiEhshxmgnzlJGxJ4zRYsLk1pemqp7WYAo9kmpgeWkNkB7ITsDqBzmMoyuZTrdqC7GBSgRWRGIFdmtsbMrjKzT/d57LVm9nUzu9bMPmdmj6irHQQ7opfSwLsfancgVgSK4tShqSyIB1N92jVpwCGlQFjKwZWU+nlIC3PdzkBeqUDoUoXFTBsvjLq+2bdDX6+W9I0Bj10laaO7P0HSxyT9ZV2NINgB9JV6kCkmFCodTiz9xLbfGOp2YFQxFiklbly/Udd7hkGJ2HAVEWAwM9tf0s9L+r/9Hnf3i9x9+Yz4ZZL2r6stBDuSkPrgg+yOevFLEwCixOEZmAyBm5HEdmlZZGlvM7uydDu1zzLvkPSHKiqIrOYVks6vtIUlFCgFBqJYY3ViKcDZK7YKgrH2U9O2SFrb/Nu6JGv+bbNS92Fzs6R1Nb4+MAq2x8lkUsgULVsvgmJl21R3f9zp7hsHPWhmvyDpDnf/ipkdvdILmdnJkjZKOqraJm5HZkcyyO7ASjh9iCqlfrxJCD/Q4sFUHwAAJvV0SceZ2c2SPizp2WZ2du9CZnaMpDdJOs7dF+tqDMEOAAC6gME80F/KRUMBICLu/gZ339/dD5B0oqTPu/vJ5WXM7HBJ71ER6LijzvYQ7EhK6mdbU8zuSKnPY8/uiKUAZ6/Y+i2Wfkpp268Ql6BF7HItUtqlK7IAQMeY2Rlmdlz479tUTGI7x8yuNrNz63pfanYAACLUUt0OTI66HTuKrTQQ2hdbrYrY2oMkLWpa0xpvNsK8ZjQ7TNR0vchSTIi7Xyzp4vD36aX7j2mqDQQ7kpN60cx5KbnLdaXe5zGJtQAnoxG0qMnB+yYVPxYBoE5NBlDmpqUNgwfZS5unNbWutpIAQFy2ial5JUxjAbIS25QMjIepLK1iKkt3ccYQsRp18FLXtB6mC7VmIbmThUXGBtAmgh1JSn0AQu0OAMPY0nYDAGBlDP7RY9AAf1HTQ7/GKMsCGIxgB5Cd2LM7Ysla6BV7vyFruQ2Y6o4P59Zfo4qxSCmA5JGJgdwQ7EhW6pkGZHcAK4slKMR2nx0Gt83rQiw19SuyMMcdfSwuTbXdBAAToEApkKXYC27GWqgU8WnpqiwuyZp/W0SAIq5Ac7gSzESGvooJumObyH4sIbMjaamfcSW7A7HhBwMAAFGpeeC2MJde4U/0SOly5GgUwQ4AiBZTWToltzMx1O0ABott2kxs7QGAChDsSF7qg5AUsztSEXuWQiwD+V6x91sXtXRVlpwvQUvdjvQxOAVaVdWlYBeinnach92YmthZBDuAkaUeYEJaYg0KARhJzHHUqoJfMX/GHBDgAiayW9sNQOMoUJqF+8Tui/4oVIqqcJxpxGYx9zgGFCltT4oFK2Pdb9tuV4rrEkjdNhEYLSGzAxFIcSoL2R154/RkfJjKkiQOlWgal5+tH/VyACSCYEc2+EUJ5IupLKhBDnU7GHQBkKS56bZbEK3emiCLoq/QHQQ7EAmyO+oTe5YCA/l0pLLNA5Gq+nBMJgIwlKXNDPCTx9RCjIGaHVlhTj1QndjrnXTRFklr225E/dqeZ49C1+p2dO3zxoCaFsBAi9NTml5carsZ6dkqAuElZHYgIilmd6SC7I700UetybluRxNTWUgI6pbYv24AAJ1BsOMBW9tuQEX4Vdks+jtv/GrfGds8IkPdjvxwVrIdbfU76xtATQh2IDJkd9SHgTsAoAPaCIA19Z5dDQwQ1BxaXQVI50tTe+t6jyWKp6JiBDt2kEuaOGdem0V/VyOX/a9O9FFnLkHLD/t8UaQ0brn1J8eSiS0uTbXdhFotaLbtJgC1oUApIjQvceBFNChUisw1UZgy1frZXSva2bXPCwQLc7Oa2VBddvG8ZjTbJ7K5qGlNa7Gy94nVgmY1Q7Z2O1wEOUvI7NhJLmdOyTZoVir9zVQWVCGV7R2dwQ87oFnscwASQLADkSIa3E25BBvrRB+1NpWlaQwmkCri6liW27SgBvWri8GUE2A0BDv6ymUwwdnXZqXS3/wKHR19BuV9CVogNl0ZJHflcyJJSRUMZQoe+iDYASAyuQQbc5dKcA9D2dTAe6S6ydTRN8RPgSyQaQHEjQKlA90rafe2G1GBVKvCSRQqBQbJ5fg0iS2S1rbdCCAOc5I2tN2IyGyWtG7M547bn5O8JyY3Ny1tyL/4J7CirSJjrITMDqBSqZy65LTi6OgziEvQxoy+qkYTWT5AC5Y2JzQlIyELXLEOESPYsaJc0ulTGYD3Q6HSbspl38tdyscWAEhUnWdtOSPcCgIGQD0IdgCVS2UASKbC6GLqMwJCnbkqS1Oo24EqxXS47LoUsp4IsoxtvguBEqaHYUwEO1aVy4Ai5V+YZHd0Uy77HoDkUaQUAIDkUKAUqEXKhWGBUXRwW3dJ1uD7UfRweF3uqxyLlOb4mTC+Lu/fwLBcaWRzNYTMjqHkcoaZ7A704tTi6GLqs1yOTQCikkuR0lR+8Kc6hSOV/gXQWQQ7AESMwTxWQ92OSlG3AyiMG4AgALCzVIM5AJJHsGNouQy6Uv6VmVp2Ryp9HVOmAtKUyrZeIS5BCwDIUN0FT7nyDJpEsGMkuQQ8AEwmpgARxyVgB3UFhihSOrrcPx+ysjA3O/CxxaWpBlsCoCoUKO2kDhYUbA19Pbl7Je3ediMQtS2S1rbdCKB9FPTsDtY1gH62iqljJWR2jIyzqO1KbSpLKjj9hkl1cCpLrqjbgZjwo7159Hkl6p4OkrpFTdfzwlyxByUEOzqLX5rNoa8nF2OQMaYAUYz90wHU7UDOcrkiCwocPwB0EMGOsTCwaBfZHfWIafAOjIqrsqABBADSwyC/W+ZqyhaoUG0ZDSuIoShoG58bINjRaWQcAKgSxxREIqUBLnFmSEwdkeiDBtUVeCCggdhQoHRsFE1s17ykwVWz40Oh0snFuM8tSBGcLSnE2D8d4JKs7UbUYJOk9W03AmOJrXBlTIfJUY3bl5tF3YBILW2e1tS6xUpfc0GzmiHreGz0X8VcBNFLyOwAUMLREYhaShkLqyERCEhf08eknI6BAGqXZLDDzI41s2+Z2Y1m9vo+jz/TzL5qZveb2Qn1tSSH2h0p/9pMLQqccl9jMAJEO2pzO6duB5Alpjego8adFsJ0khK6olFmts7Mvmxm15jZ9Wb2x32WebuZXR1u3zazu+tqT3LBDjNbI+ldkp4n6VBJJ5nZoT2LfU/SyyX9S7OtA3IQ8+A9hwBjnegf4AF1nQHuUpHSLn3WFKUUBEqprZFbSGoaNzpoUdKz3f2Jkg6TdKyZHVlewN1f4+6Hufthkv5W0r/W1Zjkgh2SjpB0o7vf5O5Lkj4s6fjyAu5+s7tfK2lb/c3JYXBBxgEAjK3pS9A2hYFuc2KOMQMAMCQvLIc314bbSr+UTpL0obrak2KB0v0k3VL6/62SntpSW9A6CpV2T4yFOFOuwJebLSq+VzOWU/FDDoloQk77TFNiK3SLTplfM6PZrUSBx7JVdZ+s2NvMriz9/0x3P7O8QJiJ8RVJB0t6l7tf3u+FzOwRkg6U9Pm6GptisKNf3fuxzquZ2amSTi3+t+f4LcoCvzhRxuA9XTEEgzieAK2KbaDKV8pw6l5vBH2itqAZzZDmhfjd6e4bV1rA3bdKOszM9pD0CTN7nLtf12fREyV9LCxfixSnsdwq6WGl/+8v6bZxXsjdz3T3jcUKm+QaezlMZUkZhUoBtCzXqSxA141ba4KrhiAh1AFBHdz9bkkXSzp2wCInqsYpLFKawY4rJB1iZgea2ZSKTjq35TZlgkE4ymI+uxBjgDHm/kJ2mhpIpV63gyKlk+vSZ0XnLcwx6K/aPGldnWJmDwkZHTKzGUnHSPpmn+UerWJqxaV1tie5YIe73y/pdyRdIOkbkj7q7teb2RlmdpwkmdlTzOxWSS+W9B4zu77+lsU4+OoSsjuA7WI4HnEJWgyJw2GBeOnKuJoHWra4NNV2EzAKLjnbln0kXWRm16pIUvisu3+6PFYPTpL0YXevNTc2xZodcvfzJJ3Xc9/ppb+vUDG9BSNjrj0AAAASNTctbVhsuxVAO7ap1eBwuCLq4X3uP73n/29poj3JZXbELYazqV2WWnZHCmI+1Rjj/hZzf6F21O1ATMiEQFOqnC7GdjsWpooA/RHsQB/kFDeDfkadYggGMZWlVtTtGA6FIuPQdiw41+2A4AAaRFAFqSHYUbkYBhhAldr+hboS9jcALUk9CAQ0LZLAzNLm5oo55BwcWKQoBhJAsAMDpJp1kNpUllT7GYPFHBwCIsWhsBDr4aPrgZ1IBukIcs3SAVC5JAuUxu9eSbu33QgAnRfDsajNosdbJK1t9i1dkjX7lkBnzEna0HYjRrBZ0roRn1P3ZxylTan1N2qxpGlNiYKvydimeAPnLSCzAxlKLbsjBTEfNZnKgg6jbgcAtG5BsyMtzxSQ4S2ub7sFSBnBjtrkMAAjr7gZ9HN+Yg4OAR3U1bR3pl8AADqMYAcyRXYHUMgh8JoYLkE7nhTjvmS8jKbtOHBXg14A0FEEO2qVwyAjxV+fKUqhn9v+lbqSHPa1nHEJWmBoMR9qAQBICAVKAaAWC1LGl5xDRMYpgjiOTZKYO91drP94UUgUGZjXjGaJ9k5um8g6LCGzo3Y5nHFOIeugH6ayVI8voTTlcBwCgBZR/wQYyahFW4E6EOwAopFqUCkWDOjj1rGpLNTtGE+dm0ld9RpiP4OW2yA9t8+Tiyr3L9bxDtq4css8manIBMGORuQwCEt1IE52B9pEJgwAdNo4QQAG+5ObGz9AsDCXZ0bCAgEMdBDBDiAqKQSVYh7A5xBYrAt9k7WmrjIRexZDLmI+zE4q58+WijavSpN4IGdxaartJkSJQApiRYHSxtwrafe2GzGh+yTt1nYjxjAvMW8QiECqxxAA2WiqoG8uKH4apQXNaobsZfSzTVxmu4TMDgBj4NTc8OirOFC3A+IH4KTI7EEsMt2Xq8yQaKPWBxAbgh2NIo0cw0hhKkvM2M8Go2+QgBQPgQQBgKQsbSYQQDAEXUCwAyNK8VeoRKFSIBapHkMSQN0ODJJ4nYSd5PZ5AAC1INjROM6sYhgpDAiZnjE8+ioOTGUBMIGYgywxtw0AWkKBUowh1SKDFCrtjhwKAteFvgGSsCBle4GDnD8b0GNeM5rlpAeask1pnDNtCJkdrSC7AwCAger8oZZpYUNEbJxtjkwNAJgYwQ6MKdWQYUq1O1LoY85UDI++2i6FbTtRDOTb05VaJjl8TvaTenS8XxfIHgaiQ7CjNWR3APViHxusy31D3Y5K5DDg7RoyBQDkYl3bDUAqCHZgApydrV8KfUzGAgAASYk9C4Pg3MjmKYQD7IQCpeggCpWiLVTl2y7VQsdAgzhkDDYnaUPbjegI+roWi5rWtBbbbka61kt0Xx9bRfZlCZkdrepyKjnQBPYxdFDsZ2yHRZHSvKWaFEjGweToQzSF6S6dR7ADE0phmkU/FCqtVqq/Wrusy4Eg6nZUgjNHO6NPgHjMTbfdgqRQYBU5ItjRui4POIAuIjAEIHEEdeLUtYyJGjO0FuYY+OeGGYHdRLADFUgh8yB19PH4CCjGi+0aaFTXBsMraXoqE1OngKEsiYwcVIcCpVG4V9LubTeigyhUWi0q6aWny8eeLZLWtt2I+mxWHnOVqWPLobXLKAwapcWlKU1PLbXdDKA/F8HVEjI7UBHO0CJmsWV3MJWlk6jbERd+DAKdtrSZDII6LJKZgYgQ7IhGbIOxrqBQKdAutmtkJuUAUGqYlgOgjDgLehDsQIUYtICMhfQQaAXQEr4y2lVHdhMZU7UgWwIYD8GOqDDoaAfZHd0Q2/7Fr/z2tXAJ2iYx6ECdupzBQkYJACSBYAeAijGIx6g6FMSjbsfo6tw8uhgQYqCOcbDdAOnwGm+JIdgRndjOPo+qQ4MWIBupH3eAzBFDRhd1NMCykPHll5iOg6YR7AAkMZWlK2Ib1DOCaV/mU1kADNZ0Zk8T75dKgCCVdkZsQbONvddSKUgxX0EwZtiAzuL01MoLEDvBKgh2RCm2AdmoGIyDQTwwUJNpoF2cphGDLtezaFrug+bcP19HVBEgQLC+7QYgJQQ7gAeQ3YEuazvIyjaNFbB55IvYODLSZLYFgNUR7EBN+GWKWLU9qO/FL31kIOVMhi5mv1SVLZDyekc3zDHPoSy2eiDU8KiDq5iiW9ctLQQ7ohXbgAwYFYN4pCK9L290EIfUuDC9JA5dDFaOgGACmmZm68zsy2Z2jZldb2Z/3GeZ15rZ183sWjP7nJk9oq72EOwAdsBUFqA9HdqmqdsBAEgcwRT0sSjp2e7+REmHSTrWzI7sWeYqSRvd/QmSPibpL+tqDMGOqKWe3dGhgQsGiPVUZGz7Viz9FFu/AAljigdSQDB0oIU56m8Ao/LCcu7b2nDznmUucvflM8yXSdq/rvYQ7AB2klJ2BwBEou7BPfFz1IHBfvXo06GRGYEcmdkaM7ta0h2SPuvul6+w+CsknV9XW3at64VRlXsl7d52IyZwn6Td2m5ExuhfoBpbVJx8QCdtlrSu7UZgbHOSNrTdiCGlvK2l1M8YyqKmNa3Fvo/Na0az0WSejmi9Opxdt1U1nx3Y28yuLP3/THc/s7yAu2+VdJiZ7SHpE2b2OHe/rveFzOxkSRslHVVXYwl2AKjZghRZ9e9CbIHEWPqp7X7pUADPJVlD75XyAAv1qGrguknFwGISsRz+ckFQYmhLm6c1ta7/YH8li0tTmp5aqqFFeUo6cIJed7r7xmEWdPe7zexiScdK2iHYYWbHSHqTpKPcffSdcEhMY0lC6vPoU8w9TmkqS4r9CwAYGWOFbuLKLwASYWYPCRkdMrMZScdI+mbPModLeo+k49z9jjrbQ7ADAABJXII2AanFdjubRg0MYZggDoGekcyTIoX27SPpIjO7VtIVKmp2fNrMzjCz48Iyb1ORf3aOmV1tZufW1RimsSSj7dTyLpqXRCXuasSaoxzbfhVLP7XdLx2aypKbKqY0AKlgugjQvk7X54iPu18r6fA+959e+vuYptpDsAMNYfBSL/oXSBJ1O+JB/wAAkrdN6ZdAqA7TWIAVpVS7AwAAjIxLpQJAlgh2JCX1KF1qk61TE3v/xlpZL7b9KtZ+6grqdiByVR4iqqqHUEUK+aSfi9oOAIAeBDsAAH20HQSKPXiHgeqeO53apsFccvSKLZMktvYgSQsT1BxbGLZGHjWhMCKCHclpewAyqdR+pUpMZQFQK2+7AQCQsNWCNXPTjTQDQHwoUApkJfZCpbFcbaRX21cf6RVrPyF5FOFcGf0DVIN9qXKLmta0FttuBqK3TUyJ3o7MjiSlnt2RIrI70EVtH2vaygSjbgeAyIxak6SuGibURmnEJFNCYjL09BSgJgQ70IIUp7KgOkSbgexRpwJdweAfPQYN8OczCWAAKSHYkay2z7giXgSTxhPbPkVQqFOo2zGarh/mcr0iC4BWkYmB3BDsQEtS/KXKVBZ0UWxBoKZkPJWFKy80j0DAcNq8/Cz7BfpYmGPwD6SMAqVJi62oIuJBoVLkIvZtGdmhsCLQnDlJG9puRLoWNKsZTsZhB1vV3RNVOyOzAy0iuwOx4csBAICo1FwXZWkzl6ZN3vq2G4BYEewAgGhRt6NTcqvbwdQNYDCmzQBA7Qh2JI8z0Rgk9swZBvLpaPs4wyVoK5fDQCv2QxyQkhyOCQ1bXJqq5nVEZglQF4IdaFmKv1aZypK3tgf2ALJUdaZLjFdkAYAIrQ3xJKrFdQ8FSrNAoVIgXxRzBRpHkdLxbFI35843VWRz1Peh+CfQQdtE9vR2ZHYgAilmd6Qi9r7lYJwOMl4aQd0OdB2Xn43fsH1MfwJoGcGObDAQaRZTWfLG/hQf6nZULoeBSOzxXABoWW9NkAWyRdEhBDuA7DEaSB8ZMAAADLRa8HaOIqBAFxHsyErKZ6NTHJCT3VENBvLpSPkYA0Qg5iKlABAz6ihhDBQoBYC+KPwbn/sk7dZ2I+rnkqztRqBzRUopZtm8rm1jwAjm18xodisR3dFtU5onketBZgciwo5ZH/o2fXzhtyfjuh1NoEhpt7C+AQCRINjxgG1tN6AipJk3i6ks1WAgD7SCIqUA2jbJFXQAYAUEOxAZfrUiJgQPd0afAKhZivHvHAbsMQc/c+jfhszXdLWVJVHkFekh2LGDFL9d+2Ew0qxUsjtiDyTlsv/ViT6KfzuuiLfdACBhkwyMYx7wSwz6UbneS9MOo66ASl2vi+6iQCkAAKvaImlt241I1yZJ69tuxBjqKCBZdV8sSIwPMBCFZye2MDermQ2jndha0KxmkjkZhrxsUzonYutHZsdOcjlzmnJ2R0fO3CIRKe9LdaFPshL7mWw0h6wBdNTS5mamaHQlc2GcbBGgDgQ7gEqkEkGNPZCUS7ARQKNiP7QBuRk2MEYwFUCLCHYgUvxyBfojINSZ4wN1O5AqLj8LTGyhTxYIGRPAaAh29JXLYIJU82aR3ZEv9iVIRd0OAI3I5afYash8QMSSmnZTdX0lZIECpQAiQ7W9NNwrafe2G4Gq1FGIsxdFSrdLtS8A7GBxaUrTU0ttNwMo2SpObG5HZsdAuZxSSPmMNDsq0F8ux6dJcHwAHsAhYWdtFFulwCsARIVgB1ApprLkK+XAIarT8FQW6nYMj8NaNRiwM7UkVay3VlBHBDEj2LGiXE6VpDxI49drN+Wy7+Uu5WMLACSqzoBUzgGDOQblQNcQ7ACAJBEQAhAxrsiCUXQ8o4jsiJUtUuMIY6JA6aoolohRzUuabbsRQ7hP0m5tNyIxFOWMC9twpShSCuRpTtKGthuBuixoVjPJTKNG/baKzNvtyOzojJQ3eqaydBOZC4gVdTs6p47UfjIfVsfXAMo6nv0BYHQEO4bCty1GRYQdTYjh2JRyIBXZ6XJsPIbDAQAAESHY0SkpD0q6/Au2TvTr6FLejwBgCLmcQU/lc6RaFDSV/gXQWQQ7AESMU5VYDQG7SjUx6GL6BtAtqQZzACSPAqVDy6VQKQUWm0OhUnRFF48rWyStbbsRAOoybsFeioEicXUXPF3UtKa1WNvrY5s4WbhdkpkdZnasmX3LzG40s9f3eXzazD4SHr/czA5ovpWoHmdwEYuYprLwhdYJFCltH0VKR5f750NWljYPvvzrwlwKJ6+A9pnZw8zsIjP7hpldb2av7rPM68zs6nC7zsy2mtledbQnuWCHma2R9C5Jz5N0qKSTzOzQnsVeIenH7n6wpLdLems1786gAqOiUOnk2O8AjIC4OLqAehkA4nS/pN9398dKOlLSK3vH6u7+Nnc/zN0Pk/QGSZe4+111NCa5YIekIyTd6O43ufuSpA9LOr5nmeMlvT/8/TFJzzEza7CNkYvprPSo+BVbD/oVKWP7rRTz69OVY2w4x88EAJly99vd/avh7/skfUPSfis85SRJH6qrPSkGO/aTdEvp/7dq5w58YBl3v1/SPZIeXM3b860LQIoraBjDcSmm/mjKlrYbkC6mNwDNGiUThIBnJRaSqNvWnoW6aiGur+dlMbpQSuJwSZcPeHxW0rGSPl5XG1IsUNovQ6N3NvMwy8jMTpV0avjvnHTatyZsG5qzt6Q7224EJsI6TB/rsEnV1+0YvP6aiJ/V+R7d2SrZB9PHOozI0niPsQ7T8oi2G1Cv2y6QTtu7xjdYZ2ZXlv5/pruf2buQmW1QEcT4PXcfdEbsBZL+s64pLFKawY5bJT2s9P/9Jd02YJlbzWxXSQ+StFMnhhWz08pB/MzsSnff2HY7MD7WYfpYh2lj/aWPdZg+1mH6WIeIibsf23YbzGytikDHP7v7v66w6ImqcQqLlOY0liskHWJmB5rZlIpOOrdnmXMlnRL+PkHS592dWvYAAAAAANQg1Mn8R0nfcPe/XmG5B0k6StIn62xPcpkd7n6/mf2OpAskrZH0T+5+vZmdIelKdz9XRQd/0MxuVJHRcWJ7LQYAAAAAIHtPl/Srkr5mZleH+94o6eGS5O7vDvf9oqQL3b3WKl7JBTskyd3Pk3Rez32nl/7eLOnFTbcLjWL6UfpYh+ljHaasQepdAAAgAElEQVSN9Zc+1mH6WIfpYx0Cgbt/Sf3rZ/Yud5aks+pujzG7AwAAAAAA5CTFmh0AAAAAAAADEexAFMzsWDP7lpndaGav7/P4tJl9JDx+ebhus8zsZ83sK2b2tfDvs0vPuTi85tXh9tDmPlG3TLD+DjCzhdI6enfpOU8O6/VGM3tnKHiEmkywDl9aWn9Xm9k2MzssPMY+2KAh1uEzzeyrZna/mZ3Q89gpZnZDuJ1Sup/9sEHjrkMzO8zMLjWz683sWjN7Semxs8zsv0v74WFNfZ6umXAf3FpaR+eW7j8wHHNvCMfgqSY+S1dNsA8+q+e7cLOZvTA8xj4ItMXduXFr9aai0Ox3JB0kaUrSNZIO7VnmtyW9O/x9oqSPhL8Pl7Rv+Ptxkr5fes7Fkja2/flyv024/g6QdN2A1/2ypKepmPd3vqTntf1Zc71Nsg57lnm8pJtK/2cfjGsdHiDpCZI+IOmE0v17Sbop/Ltn+HvP8Bj7YRrr8FGSDgl/7yvpdkl7hP+fVV6WW3zrLzw2N+B1PyrpxPD3uyX9r7Y/a663SddhaZm9VFwgYTb8n32QG7eWbmR2IAZHSLrR3W9y9yVJH5Z0fM8yx0t6f/j7Y5KeY2bm7le5+23h/uslrTOz6UZajWVjr79BL2hm+0ja3d0vdXdX8aPihdU3HUFV6/Ak1Xy9dAy06jp095vd/VpJ23qe+3OSPuvud7n7jyV9VtKx7IeNG3sduvu33f2G8Pdtku6Q9JBmmo1gkn2wr3CMfbaKY65UHIPZB+tT1To8QdL57j5fX1MBDINgB2Kwn6RbSv+/NdzXdxl3v1/SPZIe3LPMiyRd5e6LpfveF1IG/zfp17WZdP0daGZXmdklZvaM0vK3rvKaqE5V++BLtHOwg32wGcOsw1Gfy37YrEnW4QPM7AgVZ6W/U7r7/4TpLW/nhEBtJl1/68zsSjO7bHn6g4pj7N3hmDvOa2I0leyDKrIfe78L2QeBFhDsQAz6DYB6LxO04jJm9lOS3irpN0uPv9TdHy/pGeH2qxO2E/1Nsv5ul/Rwdz9c0msl/YuZ7T7ka6I6VeyDT5U07+7XlR5nH2zOJPvMoOeyHzZr4v4O2TgflPRr7r585vkNkh4j6Skq0uv/aJJGYqBJ19/D3X2jpF+R9A4ze2QFr4nRVLUPPl7SBaW72QeBlhDsQAxulfSw0v/3l3TboGXMbFdJD1IxH1Jmtr+kT0h6mbs/cCbL3b8f/r1P0r+oSE9E9cZef+6+6O4/kiR3/4qKM5GPCsvvv8projoT7YPBTmey2AcbNcw6HPW57IfNmmQdKgSKPyPpNHe/bPl+d7/dC4uS3if2w7pMtP6Wp+S6+00q6h0dLulOSXuEY+7Ir4mRTbQOg1+W9Al337J8B/sg0B6CHYjBFZIOCRXHp1QMms7tWeZcSctXCDhB0ufd3c1sDxU/7t7g7v+5vLCZ7Wpme4e/10r6BUnXCXWYZP09xMzWSJKZHSTpEBUFLm+XdJ+ZHRmmPrxM0ieb+DAdNfY6lCQz20XSi1XMb1a4j32wWcOsw0EukPRcM9vTzPaU9FxJF7AfNm7sdRiW/4SkD7j7OT2P7RP+NRX1HtgP6zHJ+ttzeWpDOG4+XdLXwzH2IhXHXKk4BrMP1meS4+iynWpXsQ8CLWq7Qio3bu4uSc+X9G0VZ/bfFO47Q9Jx4e91ks6RdKOKqwMcFO4/TdImSVeXbg+VtF7SVyRdq6Jw6d9IWtP258z1NsH6e1FYP9dI+qqkF5Rec6OKHwTfkfR3kqztz5nzbdx1GB47WtJlPa/HPhjfOnyKijOXmyT9SNL1pef+eli3N6qYArF8P/thAutQ0smStvR8Fx4WHvu8pK+F9Xi2pA1tf85cbxOsv58O6+ia8O8rSq95UDjm3hiOwdNtf86cbxMeRw+Q9H1Ju/S8JvsgN24t3cydqX8AAAAAACAfTGMBAAAAAABZIdgBAAAAAACyQrADAAAAAABkhWAHAAAAAADICsEOAAAAAACQFYIdAIBOMrM3mdn1ZnatmV1tZk8N999sZnu32K4Xm9k3zOyinvsPMLOF0Nbl21QF73eAmV03wvI3m9nXQr9dYmaPmLQNkzKz3zOz2RGfc7SZfbquNgEAgHYR7AAAdI6ZPU3SL0h6krs/QdIxkm6p4HV3nfQ1JL1C0m+7+7P6PPYddz+sdFuq4P3G8azQbxdLOq2lNpT9nqSRgh0AACBvBDsAAF20j6Q73X1Rktz9Tne/rfT475rZV0MGw2MkycyOMLP/MrOrwr+PDve/3MzOMbNPSbow3Pc6M7siZD/8cb8GmNlJ4fWvM7O3hvtOl/Qzkt5tZm8b5oOY2VvM7A9K/78uZGscEDJE3hsyWC40s5mwzJPN7Bozu1TSK0vP/Skz+3LIGrnWzA5Z5e0vlbRf6fknl57/HjNbE+7/NTP7dsgEea+Z/V24/ywzO6H0/LnS3zv1oZmtN7PPhLZfZ2YvMbNXSdpX0kXL2TBm9lwzuzSsw3PMbEO4/1gz+6aZfUnSLw3TvwAAIE0EOwAAXXShpIeFAfjfm9lRPY/f6e5PkvQPkpYDCd+U9Ex3P1zS6ZL+rLT80ySd4u7PNrPnSjpE0hGSDpP0ZDN7ZvnFzWxfSW+V9OywzFPM7IXufoakKyW91N1f16fdjyxNYXnXEJ/zEEnvcvefknS3pBeF+98n6VXu/rSe5X9L0t+4+2GSNkq6dZXXP1bSv4XP9FhJL5H09PD8rZJeamb7SPpjSU+X9LOSDl2t0Sv04bGSbnP3J7r74yT9u7u/U9JtKrJNnhWmIJ0m6ZiwDq+U9FozWyfpvZJeIOkZkn5ytXYAAIB0VZFuCwBAUtx9zsyerGLQ+yxJHzGz17v7WWGRfw3/fkXbMwAeJOn9IdvBJa0tveRn3f2u8Pdzw+2q8P8NKgbuXygt/xRJF7v7DyXJzP5Z0jMVAgcr+E4IJAzrv9396tJnOcDMHiRpD3e/JNz/QUnPC39fKulNZra/pH919xsGvO5FZvYTku7Q9mksz5H0ZElXmJkkzYTHn6odP+tHJD1qlXYP6sMvSvqrkAnzaXf/Yp/nHqkioPKfoR1T4XM9JvTHDaEdZ0s6dZV2AACARBHsAAB0krtvVVFz4mIz+5qkUySdFR5eDP9u1fbvyj+RdJG7/6KZHRCeu2xT6W+T9Ofu/p4V3t4maHqv+7Vjpua60t+Lpb+3qghAmIpgzU7c/V/M7HJJPy/pAjP7DXf/fJ9Fn6XiM58l6QxJrw2v+353f0N5QTN74aD3K7fdisjEcsHVgX0YglTPl/TnZnZhyIbZYREVwaeTep532ArtAAAAmWEaCwCgc8zs0T31KA6T9N1VnvYgSd8Pf798heUukPTrpToR+5nZQ3uWuVzSUWa2d6hrcZKkSzSemyU9KbzXkyQduNLC7n63pHvM7GfCXS9dfszMDpJ0U5gacq6kJ6zwOgsqCoO+zMz2kvQ5SScsf1Yz28uKK7VcLuloM3uwma2V9OKetj85/H28tmfL9O3DMP1n3t3PlvRXy59b0n2Sdgt/Xybp6WZ2cHjurJk9SsU0pAPN7JFhuR2CIQAAIC9kdgAAumiDpL81sz1UZBfcqNWnNPylimksr5XUL9tBkuTuF4b6FZeGaRRzkk5WMaVjeZnbzewNki5SkYlwnrt/cszP8nEVAYerJV0h6dtDPOfXJP2Tmc2rCCwse4mkk81si6T/UZG1MVD4HB+S9Ep3/xMzO03ShWa2i6Qt4f7LzOwtKqaS3C7pq5LWhJd4r6RPmtmXVQRLNoXXHdSHB0t6m5ltC6//v8LrnCnpfDO7PdTteLmkD5nZdHj8NHf/tpmdKukzZnanpC9JetwQfQUAABJk7mR0AgCAZoRAxEZ3/5222wIAAPLFNBYAAAAAAJAVMjsAAAAAAEBWyOwAAAAAAABZIdgBAAAAAACyQrADAAAAAABkhWAHAAAAAADICsEOAAAAAACQFYIdAAAAAAAgKwQ7AAAAAABAVgh2AAAAAACArBDsAAAAAAAAWSHYAQAAAAAAskKwAwAAAAAAZIVgBwAAAAAAyArBDgAAAAAAkBWCHQAAAAAAICsEOwAAAAAAQFYIdgAAAAAAgKwQ7AAAAAAAAFkh2AEAAAAAALJCsAMAAAAAAGSFYAcAAAAAAMgKwQ4AAAAAAJAVgh0AAAAAACArBDsAAAAAAEBWCHYAAAAAAICsEOwAAAAAAABZIdgBAAAAAACyQrADAAAAAABkhWAHAAAAAADICsEOAAAAAACQFYIdAAAAAAAgKwQ7AAAAAABAVgh2AAAAAACArBDsAAAAAAAAWSHYAQAAAAAAskKwAwAAAAAAZIVgBwAAAAAAyArBDgAAAAAAkBWCHQAAAAAAICsEOwAAAAAAQFYIdgAAAAAAgKwQ7AAAAAAAAFkh2AEAAAAAALJCsAMAAAAAAGSFYAcAAAAAAMgKwQ4AAAAAAJAVgh0AAAAAACArBDsAAAAAAEBWCHYAAAAAAICsEOwAAAAAAABZIdgBAAAAAACyQrADAAAAAABkhWAHAGTAzP63mb277XbEwsxOMbPz225H7szsN8zs4rbbEQsz29XM3MwOqHJZAAAwOoIdABAZM5sr3baZ2ULp/y/t9xx3/xN3/62m29qPmZ1tZks9n+NFNb7fwWbm5fvc/f3u/rwa3uuYMED9aM/9G8P9/1H1ew7Zrseb2WfN7MfhdqWZ/VwbbUFczOzBZvZJM9tkZjeb2UtWWHadmb3XzO4ws7vM7Fwz2zc8tqZnn54zs61m9vbw+MFhHyg//samPicAAL12bbsBAIAdufuG5b/N7GZJv+HuAwfRZraru9/fRNtGeO8/c/e3NN2ehvxA0lFmtoe73x3ue5mkb7fRGDMzSZ+W9A5Jz1dxIuMISdvaaA+i825JmyQ9VNJGSZ8ys2vc/Zt9ln2tpCdLepyk+yT9o4rt6pfdfauk8rFpd0n/I+mc8guUj18AALSJzA4ASIyZ/amZfcTMPmRm90k6Odx3VmmZXzOz75nZnWb2RjO71cyODo/NhuyLu83s62b2+hBUWX7u/mb2CTP7oZn9t5m9cqX3HqHdO6Xth3a8Jfx9TDjz/IfhvW8zs5eVlp01s7eHz3WPmX3BzKYlfSE8vnw2+Sm90yvM7GdCtsM9ZvZlM3tq6bEvmdkfm9l/mdl9ZvbvZrbXCh9ls6RPSXrJ8ueSdIKkf+n5vH8X+v1eM7vCzH66Tz+eE97zSjN7/LB92eMnJD1c0nvdfYu7L7r7F939P8N79fbFDushrIN3mdnnQlsuMrOH9Sz7u2FbuNPM/sLMdvr9YGbvMbO39tx3vpn9Tp9ldzGzd4YMgnvM7FozO9TMDjGzH4UAjszsLDO7rfS8Dy+/npntYWbvM7PbQz+fUW5X+NzftCLT5fxhP5OZHRj2jX37dbaZPc3MLgvL3B4+x9oByw7s25KfM7MbQzvfWXruIWH5H4U2ftDMHtTvfQaxIiDxQkmnufsmd79E0mc0eL89UNK/u/sd7r4g6SOSfmrAsi+W9H13/69R2gQAQFMIdgBAmn5RxeD6QSoGJA8Ig+Z3SjpR0n6SHiLpJ0uLnCFpX0kHSPo5lQY+ZrZGRZbAFeG5PyvpdWb2nGHeuwL7S5oJ7fstSf8QBmyS9HZJT5D0VEl7SXqjiuyFZ0rFGeVwu6L8gma2t4oB3v8v6cEq+uY8M9uztNivSDpFReBgvYoz3Cv5gIpsDqnIprhKRcZH2eWhvXtJ+pikc0JwZtkvqejH5cc/EQIno7pD0k2S/tnMjjezh47xGidLOl3S3pK+LumDPY8fL+lJKjIDTtD2z172fkm/Ugoa/ISkoyR9uM+yz5N0pKRDJO2pYlu9y91vUBFMekJY7hmSFs3skPD/Z0q6JPx9tqQFSY8M7fp5Sb8W3vsESa8L7X6IinWxQzBq0Gdy9/929z3c/Tb1d7+kV6voq6dLOlbSbw5YVlq9b5+vIpvicBWBy2PC/SbpTyXtI+lQSQdJ+t/LTwoBnLsH3P4tLPZoSZvd/abS+12jwQGM/yvpGWa2j5mtV7FfDKp9c4qKdb6DEHi6xcz+ycwePOC5AADUjmAHAKTpS+7+KXffFs7Alr1Y0r+5+3+5+6Kk03oe/2VJ/8fd73b3WyT9XemxIyXt7u5/5u5L7n6jilT2E4d872WvLw28/meEz7VZ0p+GDIVzJS1KelQIwrxc0qvc/XZ33+ruX3L3LUO85gskXe/uH3L3+939bBXBgZ8vLfOP7n6Du8+rSMs/bJXX/KKkfczskSoGyR/oXcDdP+jud4VpPn8paXdJB5cWudzdPxE+w9vC408Z4vP0vs82SUdL+r6KgNDtISPgkSO8zKfc/T/D9vJGSc80s31Kj/+Fu//Y3W9WESw6qU87/ktF8OGocNdJkv7D3e/s835bVHzex4Tnft3dl7eTL6iYJrSfiu3hE+H/h0ialnRdeOw5kl7j7vPhue/Q9u30N1VMpfpW6P8/lXREeN7Qn6kfd7/C3S8P29JNks4sfeZ+VuvbP3f3e0I7LlbY9tz92+7+ubAf3qFi3T7wPu7+vBCU6Xd7YVhsg6R7etpzj6TdBrT1W5Jul3RbWO5gFX23AzM7SEWgp7zd36EicPQIFdOo9lSf/QIAgKYQ7ACANN2ywmP7lh93902Sflx6fJ+e55f/foSkh5fPEkv6Q+2YGbLSey/7i9LA6ydXX/wBd4baAMvmVQzYfkLSlKTvjPBay/aV9N2e+76rInNlWTkgs/yeA7m7q8gseLWK7INP9i5jxXScb5rZPSr6f72Ks/vLyutoq4pgxU5TJ6y40s7yFJ2/6308PP8Wd/9tdz9IxVSELZLOWukz9Ci35R4VA919+z2uou/6TvFQMbhdzhQ6WTtnMSy/x4Uqakn8g6QfmNm7zWx5AH6JiuDNUSoCHxeHv4+S9IXQ949QEfj4QWk7fZeK7UTh8XeVHrtTRRbQ/mN8ph2Y2WPM7DNm9j9mdq+KTKm9V3jKan3bd9szs580s4+a2ffD+5y1yvv0M6ciqFS2u4p6HP28R8Vvw71UbK+fVpEV1etlki529+8t3+Hu97r7V0Ig8nZJvyvpeSFDBACAxhHsAIA0+QqP3a7SoC4MNspTNv5HOw76yjUEbpF0Q89Z4t3c/QVDvvfgBhdn2BclzZbuHjYQ8gNJSyqmLOz00qs89zYVg9+yh6sILkziA5JeKelcd99cfsDMnqViKsyLJO2hov/nVExNWPaw0vK7qAi+7DR1IlxpZ3mKzk71L/os/z1Jf6+iyKRUFKdcrc/LbXmQiilKt/V7XEXfDZri8UFJv2Rmh6tYV59aoZ3vcPcnhXYequ1Thy5RMV3lqPD3F1UElJb/LxXb6bykvUrb6e7u/oTS46/o2Y5n3P3yMT5Tr/dIuk7Swe6+u4opKrbC8qv17SBvVbG/PD68z8vL72NmF9rOV0dZvi33+7ckzZjZgaXXfaKk6we85xMlvS9kvCxK+ltJP21me5Te1yT9qvpMYemxvF+u1DcAANSGYAcA5OccSS80syPNbErFmeeyj0p6oxUFHvdXMWBfdqmkJTP7fSsuQ7nGisuaPrmitl0j6aXhdX9e0s8M86SQ+XCWpHeEM95rzOzpoTDkHZI8pNb382lJP2VmL7GiOOWvqEjPP2+SDxKm+BytYrDbazcVtR3ulLRW0ltUnCkvOyLU2Fgr6Q9UnG2/QiMys73N7M1mdpAVHqKidsVlYZFrJD0hrMcZSW/u8zIvsKLw5rSKaQtfCmfnl/1h2F4eLulVGlCrxd2/K+lqFQPhc3qDQKU2HxFuu6oIxixJ2hpe4xvh7xNVZHL8WEVmzPEKwY4w/eoSSX9lZrtbUfD0YDN7ZniLd0t6k5k9NrzfHqGOR1nfz2TbL6G6v/rbTUV2xqbw+ivV65BW79tBdgt9c48VRU3/oPyguz+3FATrvb0gLHOviqyjP7GiwO8zVEzfOnvAe14h6ZTQp2sl/bak7/n2qw5JReDpoZI+Xn5iON48KqyLh0j6G0mfc/e5IT4rAACVI9gBAJlx92slvUZF0OM2ST8Kt8WwyJtVZErcLOlCFcGPxfDc+1UUTDwiPH6nijPZvanw43qVigKnd6uoLXLuCM99jaRvSPqKpLsk/Zkkc/f7JP25pMvDtIWN5Se5+w8lHSfpj1T0w2sk/YK73zXhZ5EXVz3pN3A9T9J/SLpBRT/eqyLjpuwTKqZ63KXiyi6/5ONdQnhRRRbFRSqyR74W/v310Mavq+iri1Wc6f9Cn9c4W8VA/E4VxUF/tefxT6kIYlwV2n3WCu15v6THa8AUlmAPFbVg7lbRP7erqEmx7AuS7vDtRUIvUTEN5ZrSMierCCB9XUUw5ByFrBV3P0fSX6soCnuvpGtVFOMd5jM9TEVNl0G1Zn5fRXHO+1TsG6sV6V2tbwd5s4r98B4V+8nHV158oN9Ssf/+MLTlVA+XnTWzo8M0n2WvVRFoujEs/7MqCumWnSLpY2F6XNnBKo4n96lYT3OSXjpmmwEAmJgVU18BALmy4momd0t6RDgj3vv470p6obs/Z6cnoxZm9qeS9nf3l0fQlrMl3ejub+nz2K4q6n8cGApoDvN6z1YRyDjII/yRsdpnsuJSyLe4+z9W8F4D+xYAANRrnEvcAQAiZ2bHqcgs2EXFJVe/uhzoCFekeISKaQ6PVpHp8NctNRUZCdOmXi3pvTEGOoZBYAIAgDwwjQUA8vSLKqaw3CrpAO14Wc1pSe9VkW7+WRXp8e9puH3IjJk9XsV0kr1UXMoVAACgNUxjAQAAAAAAWSGzAwAAAAAAZIVgBwAAAAAAyAoFSoNd997D1x6wb9vNSMou2tZ2E6JHH0mmbk2Vy3md5/LZUtwmU+n7WNsZS7va3vaa7ocm36/O96prvVXd5qper4rXmaTPxnn/cZ4zShtHef1hlt1l2+rvbau9zNYVHlvp5Qe9br/7x71vpf+P8nfvv8uf2Uv3b9vxb98mbdsmbfPisltbJd0vaSkscpt0p7s/pM+nyMKjzHa6LniVbpMucPdja3yLShHsCNYesK8OvPKf225GcmY133YTojZD/0iSprXUdhMalfN+kcM2ner2mELfz2qh7Sb0Na3FtpvwgJkW+6iNY9NUQ31f97ZXx+eous1Vrd8qXmdqguPsuO8/6jFy1O+CYV9/duvq63V6cfX3nl5txDq3wmMrba6DXrff/ZuHXK73vt73Lz++ecD95b+Xnz/X89imnsc3le7bXPy9ZZO0sCjdt1m6V9IPwu37khYknSZ9t88nyMYmSb9d4+ufJu1d48tXjmksmMi8ZttuQtQW6B9J0qKm2m5Co9gv4ta17bFJ85ppuwl9LWq67SYAO4l1f+E7rH6L03wPNW33thuAVhDsCFzWdhOSxZfiygh4ICdsz+2h7zEpvq/zxvoFgB0R7ChZ4mzf2PiCXRmDlO6dTWefiFvXtscmxXq2OhYLHeufpYayatjuMCq+B4D8UbOjx5KmJppn2GXzms26VgEmt6ipZOslYLsFzSZRP2I1KW6PufR9GxY1HVXtDqRlSdON1R/JwSS/p/k9WYFprVy3A9naRSL0W0JmRx9keKAOZHd0D9kdAGLDcSkuZKTkZ35NNet0cX0lLzOZdW03AJgMwY4BCHiMhx9RKyPg0b200Vz3iVy25RS3xxT6ngHcypjKgrpU9Z2T4ndXCsfGSm1o6X1jCMIAQyLYsQICHuNJ8QuySZ37Mu4jxQEmdsa2jNRwVZa8EWQDAJQR7FgFAY/xEPDAaroU8GB/iFuK22IKgSYGnvHimDQeMlS6LYXjbnKGzRIhmwRjokDpEChaOh4KTA1GkcHuyXV/YFtGamIpVLqgGc1ooe1mIALzmtEs2wKACqyRtHvbjYgImR2oFWePBuMMQZpn1JGnFLfFFI4hZHdgGZeg7Z5JsqP5/VgjsiTQIQQ7hsR0FtQhhcFK3VIcZI4r1x9vbMdITSy1O9osVJrr8Qis21G0+Rtkcbo7v392wBVe0CCCHSMg4DEevnSB7XLdH3IIeKQYeEuh3znTjpx0qW5Hrt9XGICMD2SIYMeICHiMhy/MwVIYrNQtxUEmAGA0XQoUoB38pgJQRrBjDAQ8xkPAYzC+nLsV8Mh1X8hhO05xO8yh39vAVJZ8j0UpZhOl2GYMNr+G9TmyYTJLyD7BiLgay5i4Qst4cr0iRRW4qgWAXHG1CQDokGkpgoteddIaSbu13YiIkNkxATI8xpPrmaQqdP0MbYpn1ceV636Qwzac4naYQ7+3IZbsji7JYSpLCp8hlu+Y3H4rN32sXUwlkyGVdqJzCHZMKLeDeFNi+RJGfFIcaI6L/QBdQpr+YExlqR7bWzXa3D5y3TYbE39MbnUb2m4AUkewowIEPFAlztB2K+CRoxy24RS3wRz6HegyAjTtSPF4/wCCAcCKCHZUhIDH6IjYD8agpTty3Q/YhtFPjIO5WKaytJndgdGlMJUFALqOAqUVomjp6ChYOljXC5YuakrTHdmf2A/ilOI22PXjBsbT9DFoSdOaonohasJxEF22i8TpphIyOypGhsfocj2zjcklnVqKLLI72AarR3YHmhLjttakWH5f8dt4sMVp+mYsHLIxJIIdNeCgPrpYvpBjk8NgEcNhHwDAVBbEGKDh+6nj1lXwGlytBS0h2FETAh6j48u0v64HPLp0Zj3HfSCH7Te1bTCHPkfzmj7+5FDzIofPELuUvxfn18QXuMoSgRSsgGAHkICuD15SG2xiR13ffrGzGM9eM5UlTzFuawCAZlCgtEYULB0dhRoH63rBrRSLRY6DfSBOqW1/XT9epGxBM5rRQtvNQCb4TqleFsfX9ZI2tfh81GYXSbu13YiIkNlRM6azjC7llEWgCjnuA2R3oFeMZ9y7nt3BVBZ0VcwZpItM00BizOw1Zna9mV1nZh8ys3U9j33VU2QAACAASURBVD/czC4ys6vM7Foze35dbSHY0QACHqPLcbBXha4PGGP+MYL8pbb9df14kTIKlaajjoBNjIHASX+XNf1bmOMf0A4z20/SqyRtdPfHSVoj6cSexU6T9FF3Pzw89vd1tYdgR0MIeIyOgEd/Xf8CT23AOa4ct/+ub7vYWYyDOuSH7QwYUixZJCR9pW5XSTNmtqukWUm39TzuknYPfz+oz+OVIdjRIAIeo8txwFcFBo1AO1ILtnGsGB1TWZjKgrjwWxBIh7t/X9JfSfqepNsl3ePuF/Ys9hZJJ5vZrZLOk/S7dbWHYEfDCHiMji859EptwDmuHLd9Bt/oxVn3/pjKgqrk+F2Sk8XpCX/TbFjhMWKJktSpPWCNipSJum6S9jazK0u3U8vvb2Z7Sjpe0oGS9pW03sxO7mnmSZLOcvf9JT1f0gfNrJa4BMGOFhDwQBW6Pmgk4JGu1Lfd1La91Pu7DV3P7shRnUG1rtTtAABJd7r7xtLtzJ7Hj5H03+7+Q3ffIulfJf10zzKvkPRRSXL3SyWtk7R3HY0l2NESAh6jyXHAV4WuD2JSG3QCQAqYyoJ+UitSGoP5NQSt0Dnfk3Skmc2amUl6jqRv9FnmOZJkZo9VEez4YR2NIdjRoi4e9CdBwKO/rgc8uiDHbT/17Ta1QFvs/c1Z7P6YygI0Z5TjeuzHVKAt7n65pI9J+qqkr6mIN5xpZmeY2XFhsd+X9P+Z2TWSPiTp5e7udbSntmCHmT0sXD/3G+E6u68O9+9lZp81sxvCv3uG+83M3mlmN4br7T6p9FqnhOVvMLNTSvc/2cy+Fp7zzhA9GvgeMSLgMZocB31V6PKXbmqDznGx7cenK9teVzGVBTnp4ndIl38bAW1y9ze7+2Pc/XHu/qvuvujup7v7ueHxr7v70939ie5+WJ8CppWpM7Pjfkm/7+6PlXSkpFea2aGSXi/pc+5+iKTPhf9L0vMkHRJup0r6B6kIXEh6s6SnSjpC0ptLwYt/CMsuP+/YcP+g94gSAY/RdPELGytj0Jkmfog2K/b+Jrujv7ayO3L8rqVuR7py3B6BOuwiaabGW2pqC3a4++3u/tXw930q5ursp6I66/vDYu+X9MLw9/GSPuCFyyTtYWb7SPo5SZ9197vc/ceSPivp2P/H3p3H2VZVdwL/rSqo+6re48kkxgaNYNCOGkBBpTUxKmLQToutJIF2QIPSKA5p0g7YRhPTaTW2Y7eojyGiURxwABNQaVSMCujDAVQ0PDCRF4mMMlVxK/BW/3HPfXWr6g77nHvO2Wvt/ft+PvfzXp26w6m71z3n7HXX3rv43WZVvbQoe/nImuca9hpmMeFRDk9661nvyND0Uox773HLRFvaWN3RHs7bQeTcxjU/h36k1z6OqEatzNkhIg8B8GgAlwN4gKreAPQSIgD2Ke62L4DrBx62vdg2bvv2Idsx5jXW7teJ/WVz7rvptqp/Xm2Y8CgnxY7ftLx3HKeRS6eTcU/TsH6M4DfZRLbxHBRHlwkBokoaT3aIyCYAnwHwJ6p6x7i7DtmmFbYHU9Ut/WVzZu9vY1oPJjzK4Ul3PeudmSblkvBIjfeYZdylzUJ1B4ey1IcJtbh4nUsAemtvELWg0WSHiOyKXqLjY6r62WLzL4shKCj+vbHYvh3AgwYevh+AX0zYvt+Q7eNewwWeCIiqy6HjmWIHhNpjPbnEzmi+vA9lsT5vB88dtEqZahEmJ8ipJldjEQBnArhaVd818KvzAfRXVDkewHkD219YrMpyOIDbiyEoXwLwdBHZo5iY9OkAvlT87k4RObx4rReuea5hr+EGEx7hePJez3pnhqaXWtx7j9kckmyUp9SONZSXsueWWMfybofnEKrHLIDNDd68abKy44kAXgDgqSLy/eL2TABvA3CkiFwD4MjiZwC4AMB1ALYBOB3AywFAVW8F8JcAvlPc3lJsA4CXATijeMy1AC4sto96DUoUL8bW8955nAY7nj7lHLNts/5eW6vuyHkoC5EV1q71Qo+ji7P87FrBlsjPLk09sap+A8Pn1QCAI4bcXwGcPOK5zgJw1pDtWwE8asj2W4a9hjfLmMMclmPvhhuLWMACFmPvhilLWMB8pu9JF3PoJP75YczbkkPMETVtGR3ModvoayxiHgtYavQ1UsZzj0GbANwVeyeI7GllNRaqjsNZyrGW9bfA+je4NJ3UYp7x2h6+1+XkXN2R2nGmSdbn7bCA17YtKxuSoXN5cIUYcoDJDgd4UiiHF2XUx+Es1DbGXH1S6+ARWcBrJCLKSWPDWKheHNJSDkssV+NwlrQ/O6nFu/d49RRz3t9rShOHshARVTMjwG5NFiLe0+BzN4CVHY6wwoOmkXPJeg7ftqf2bV3O8UorrFV3cCgLhfC+hC5RI0KGvXBoDNWMyQ5nmPAIxwuz9diBJGqHpwQbjwtEVFasa6wqr5vKMa7LRABRaUx2OMSERzgmPNZL5aRflqfOZ1WpxXuusUqrsbojT6yOWK3Oz0Fq54q65XC9QJQLJjucYsIjHE/q1JfDBQzj3Q5P8cbEki8cylIPa4m0nKRyHctjZ2SsdqEJmOxwLJUTRRtSu0CbFk/O5AVjlQB7nVJWd9AkrEyhQYuzk49h3Q6v64nqxtVYnOMqLeFSW7FiWrmuwuBppYyqUot1z7HqKd48v885WsI85rmaCBHRULttAO5wtnJIHWZmgHmuxrITKzsSwAqPcKzwWC3Xb809DS+oirFOqbFW3ZGrNo8tbVRHeIora/vK8wwRWcdkRyKY8AjHk/NqTHiQB57j1FOseX6f28ahLOSZ52uhnFdkGWtThcd4mvOixL42WtlArjDZkRAmPIhokOeL2WE8X6x6SnhYZu2b7dhiTVRKYThvx3i8bqUgVZI4RAUmOxLDE0eY1DqB0/LciZxGDh1QxjqVlevxoIpcqztSG8pCtFZy1wcZfYx29VStQo3jBKUJ4qSlYVKbxHFauU5O6GkCSfIdp4w1IpsWMY8FJ5O9etpXSswGTJ6cciOAu1vYF6uvb4DMNJzwub3B524AKzsSxQqPMPzWe7Vcv9FN7hucNRjnVJblYwGHsqzGoSxUVR3nBp5fbB8vCdgcewcoKiY7EsaERxieqFfjSTtNKcW55xhNPbGWIw5laZ7noSye953qtTg7fWKy29YQjbpep83w39Dia5EbTHYkjgmPMCl1BKkadkJ98Zzw8MLye8zqjtVY3TE9xpQvqV63dTu8FiGqE5MdGWDCI0yqJ84qLHdympR6woMxbkPqcZYjVndQm1JKzLR5jZrrtU1yOAEplcAJSjPBSUvDcNLSFZ4ngpxG6pNIphTjucZomyy/x5yoMS/L6GAO3di7QUSDOCGoPTNgQmgAKzsywgqPMPymagW/BSFqBqs70hO7uoNDWeyyPG8HJykdjcdpIv+Y7MgMEx5UVo4Jj9QvcFK6MPUcn17izPJ7nFI5v1cpHU8YT0REaWGyI0NMeEyW0sVbHSx3dpripSNaVUoxnmN8to3vsQ+pV3dYrpBoGxMztpg5Rm6KvQM14sedasBkR6aY8Jgspc4gVZN6woPiY4xNz1KnL/ZQFrKLiZrRql6T8jrNOS4VSy1gsiNjTHhMxhPpCjPfWlBtUopvxmfz+B7TKCkdSywlz9qSUvtNwuPYEBYms7SwD6mYQS+R1NTNGSY7MseEx2Q5XQRMkuNFQurfvDO+40s9xtpgqYMau7qDQ1koBp5LwizOpv35JLKGyQ5iwiMAT+IrmPAgq3KMzbbxPSayw1KSj+rT7Yy/5uhWrYKwkCdkBQe1jMkOAsCERwgmPFbk2OFJOeGRUmx7jc2U46stljp+OVZ3pHQcaSqWWJXiD4/NRL4x2UE7MeExWUoXc0SDGNvxebmo9ppQonQwaUBERCF2ib0DZMsy5jCH5di7YdoiFrCAxdi7Ed0SFjCf2fvQxRw6/HyYl2NsEhFNI/a1TdXrz9j7TWTODDhcaAArO4ioshy/4fXy7XsVKVV3eI1NL/Fl9f3lUJYVHMqSB0sxn3v7Wz0u1srhahyUNyY7aB0OZ5ks9xP6oCxO7hlhbBORB00PZeG8HenidUsg69UB/ChRACY7aCgmPCZjp3BFbhcOXr59z53XuPQSX1bfX0vfdOdY3UFERGQFkx00EhMekzHhkS8vHdIqGNdEVBWPH36x7dqxONtwEnJTs0/fOOsVJeQKkx00FhMek/HioMfqt7xNYsLDPq9x6SW2rL6/rO7IA4ey9FiK92lYveb0cjw2g8mKuPoTlDZ1c4bJDprI6snHklQ6htOy2vGhalKJa8Yl5YwTlVKbYrQ9442IRmGyg4Iw4TEZT7Y9uXUs+Y0PNcVLbFn9zKfybTcR5afbGX/87zr8hp3yISL/TUR+JCI/FJFzRGTDmt93ROSTIrJNRC4XkYc0tS9MdlAwJjwmY8Kjx2rnpyleOqVVpBLTXmMy5djKCYeyNMfrUBaKy+s5wSQLiRcL+0AAABHZF8CrABymqo8CMAvg2DV3OwHAbar6GwDeDeDtTe0Pkx1UChMek6XSOZxWbhcSKXdKU4np3GKyTVbfW3ZUeziUxR6r83aw3aZj9Vi406iwazJZwFxvjnYBMC8iuwBYAPCLNb8/GsDZxf/PBXCEiEhTO0JUyjLmMIfl2Lth2iIWsIDF2LtBLetiDh1+NqhmjKs0dNFBB93Yu0FkGq8xiaYkaDrBtLeIbB34eYuqbun/oKr/IiL/G8DPASwB+LKqfnnNc+wL4Pri/veKyO0A9gJwc907y8oOqoQVHpPx2xEH33BQsFTimTHZHKvvLas7emJUd7Sl6aEsVE4q5wsiGupmVT1s4LZl8Jcisgd6lRv7A/h3ADaKyPPXPMewKg5tYmeZ7KDKmPCgEFY7QE3hcBZqQspxlZPc5u5I5ZjBhJl9Tccaj8E+bY69A3l6GoCfqepNqvpvAD4L4Alr7rMdwIMAoBjqcj8AtzaxM0x2FHbwraiECY/xUrnQmxYTHmRJbvHYJqvvLTurZBHn7cjX4iyPSW3bLfYO5OPnAA4XkYViHo4jAFy95j7nAzi++P8xAL6iqqzsaBoP7tUw4TEe46rHaieoKakmPFKJZ4/xmGpM5SZmdQeHshARUZNU9XL0Jh39LoCr0Ms3bBGRt4jIs4q7nQlgLxHZBuAUAK9van84QekanFiyGk4oNR7jqmcJC5jn++Ae4zkeD5OVWv2cL2IeC1iKvRvZSeV4wfgpZ5p2b+ua0uqxisg7VX0zgDev2fymgd/fA+AP2tgXJjuGSOXE3DYmPMZjXOXHQ8c0Z7zQpRwtYR7z7LSbsYwO5rhKT1LqOrd0O3PodCteQ2wCcNfUu9BbkvbuGp6H2jOLZpcSdobDWEZIpVS7bRzSMh7jyufwgWmkOvQglVj2GI8eYsrq+2pl7g5OVNoMDmXJe94Oj/s8jW6sDu2GSK9LVAGTHWPkdtCsCxMe4zGu7HaEmuKhc1oFY5nGye1zTumzkiwjSkZo4mRTo3tBCWOyYwJezFfDhMd4jCt2hFKRQix7jMVUE2htsNJh5USlRL7wuEvkT2PJDhE5S0RuFJEfDmz7pIh8v7j9k4h8v9j+EBFZGvjdBwcec6iIXCUi20TkfcUSNhCRPUXkIhG5pvh3j2K7FPfbJiJXishjpv1bUriYj4EJj/EYVz47mVXxIsk2j7HoIaY8vq/UDA5lGc3jPofgdQ4RxdZkZceHARw1uEFV/0hVD1HVQwB8BsBnB359bf93qnrSwPYPADgRwIHFrf+crwdwsaoeCOBirCxZ84yB+55YPH5qPGBXw4THeIyrvDpDHjqnVTCOiaphdQc1wUr10jTaun6MeQ2yOBupnWLn1jh5ZrNm0HuPm7o501iyQ1W/DuDWYb8rqjP+EMA5455DRB4IYLOqXqqqCuAjAJ5d/PpoAGcX/z97zfaPaM9lAHYvnmdqvKCvhgmP8RhXeWHCwy6PiTcP8WTxfU2hM0hx5BQ7KRzXqQSHHVmiSWLN2fE7AH6pqtcMbNtfRL4nIpeIyO8U2/YFsH3gPtuLbQDwAFW9AQCKf/cZeMz1Ix6zioicKCJbRWTrjpuG5mXWWcQCD/4VMOExXu4xZbEzRERE9eJQltE87rNFuV9PEdFqsZIdx2F1VccNAB6sqo8GcAqAj4vIZgAy5LE64bmDH6OqW1T1MFU9bOb+ewbs9goeTMtjwoPGySnh4eHb+CpSOC56jEMP8WTxfbXyDT2HshClx+Ixr1VVqkRCHsPqEyqp9WSHiOwC4DkAPtnfpqpdVb2l+P8VAK4F8DD0qjL2G3j4fgB+Ufz/l/3hKcW/NxbbtwN40IjH1CqFC/u2MeExGuMpr4sDDx3UKlKI45zikIjKs5IoG8fKPqZwToip23FyrcAkBBkVo7LjaQB+oqo7h6eIyP1FZLb4/wHoTS56XTE85U4RObyY5+OFAM4rHnY+gOOL/x+/ZvsLi1VZDgdwe3+4SxN4EC9vGXNMeozAeMqro5lqwoPa5yGWLH62rXQIc6ru4FAWX2Jel1i8VvRwrN1pU+wdqAE/xuXNoNf2Td2caXLp2XMAXArg4SKyXUROKH51LNZPTPokAFeKyA8AnAvgJFXtT6LxMgBnANiGXsXHhcX2twE4UkSuAXBk8TMAXADguuL+pwN4ed1/21rsoFZj8SRmAePJZqeIwqUQwx5j0NVFOBGtwwRNHB6P931dVlQQjbVLU0+sqseN2P6iIds+g95StMPuvxXAo4ZsvwXAEUO2K4CTS+7u1BaxgAUstv2y7i1jDnNYjr0b5jCeehcf8xm8B13MoZPgZyCFGM4lBttk8T1dxDwWsBR7N9BFBx10Y+9GK1I4PliJGyIiGi3WBKVJSuHbzBhY4TEc4ykfqX4jzxhuX6qxRM1KdaLS3CslrAzTapunc8/ibJ5tNDVWtFAgJjtq5ukAawkTHsPlHk+eS0vLYifVppxisC0W31MrncKYc3cQjTLttUju1zIEzr1B0TDZ0YBFLPDAXgETHsPlHksWO0ZNSTHhkUL8eovBFOOImpfqRKVNaiJJlns1ylqerw29nTtGsl5FYX3/2jaDXnKpqZszTHY0KIUTeds8n9SalHssJXPBkKnc4zcG6wkPi59pK9UdVC8mD6hu1o+vrdgQeweIwjDZ0TBe5JfHhMdwuceSxc5RE3gRZVMu8dcmvqfD5bQMLTWPSbww2R2PmAOkTDDZ0YLcO6lVMOExXO6xlMvFSIoJjxRi11v8pRhHTWPHsF0pHBeakGI1StttnVJsdTs8lhNVxWRHS1I66LaFCY/hGEt5SLGjytiltbwlkNrCiUrr1WTyIJcEGY/fmbAy/4WV/SD3dom9AzlJYV35ti1jDnNYjr0b5uQcS0tYwHymfzvF5y3+uphDh8fQUhYxjwUsxd6NaJYwj/kW//6cz2cUhteCRCXMgMmiAazsaBkz4+WxwmO4nGMpl2+DWd1BdbAeR7l8nstidQfVJZfqE68WZ6drn+64ju2mqZ46GbvF3gGKhsmOCHixXx4THsPlHEu5dJCsd1Sr8B63ucReznLvHKY4Uam3oSwpzttBRNQ2JjsiWcSC+wv+tjHhQWvl0ulkwsMeb7FnPYa8vZ9tyaW6w/vxIBfTtpP1di5zHAo9pvLYRhQXkx2RWT/wW8OEx3q5x1AuFxLWO6tEqcm9uoPIu9yvj4iIE5SawMm5yuFEVevlHkPeJo2kHu9x6y3urE9W6u39TF3bE5W2YRkdzKHbyHM3MbFtnfvrfeJdXvsRBeIEpauwssMIZp/LYYXHernHUA4VHilWd3iP2xziLmcWqjs4lIWIXFjbwQ7tcG+oe0eIVjDZYQhP9OUw4bEeYyh9KSY8qD3W44fJI1tSnKiUpsPrjDi6HdvHbiKrmOwwhieRcpjwWC/nGMqlo2S9w1qW95j1FnepxU/TWN3RnjaOBd5WZUmN9+N9tuoeFsFhFtQSJjsM4omgHCY81ss5hrx1PKtKrcPqPWZzibs28L0kWlFncibHZEzZc0us48/ibIS2ySOHSpljssMo7xf+bWPCY72cY4idJZ9yjtm2WU+WWfsMW+gkxqru4FAWssLatR6Xn/Vnc+wdoNYx2WHYIhZ48V+CtZOgBTnHTw4XF9Y7rLnJIeaImsahLPblfG1hVbfOYSGcWNS3GfTapqmbM0x2OMCTSjgmPNbLOX5y6HymlvDwHq+eYs567Fh7Ly10YlndkafUhrJ4P867syn2DhDFw2SHEzwxhGPCY72c48dah6kJ1jutZeUcr21LLXaIiIiI+pjscIQdgHBMeKzH+Elbap1Wz/GaQ4KtLdbeSwvfiudQ3eF9KAsRDRHykeMqLVQzJjuc8dwBaBsTHuvlGj/WOkyUPk8xl1qijCg2C0mxpsW6nqhybZfKtU+3w2M1UVm7xN4BKm8RC1jAYuzdcGEZc5jDcuzdMCXX+FnCAuYT/7u7mEMnoXjPNVZpNWuf3UXMYwFLUfehiw466Ebdh6bx87/aMjqYq6nNLcSwZWWOOamddykBM2CFzABWdjjFlVrCscJjvVxjx9O37VWl9i2951j1FG+pxQ01I7WJSjmUJR7Px/YqQs4Hi7Npfb5awY8wTcBkh3O5nSyqYsJjvVxjx1MHtCp2XO3wFG+W48ba+5jDMAWaDmOEKK55JkIITHYkIddOa1nLmGPSY41cY8dax4nGyzVOaTV+blfjRKX5sVaJwvYhIuuY7EgETzjhmPBYLdfYSb3jZPlb+io8x6mnWEstbprEb+7TYC2B0BbP8ZvzJKXjdKvM0+Ap/DeF33VXzllBBSY7EpLDgbwuTHislmvseOqEVpFax9VznHqKNctx4+l9bEOs6o42ef7ce04otMFy2/JYY0jZw1zuiY4Z9N6zpm7OMNmRGMsnDmuY8FiNsZMmyx1XIu9y7cxyotJ4PO0rGVKiKmKk3JMIFEREHi4i3x+43SEif7LmPs8TkSuL27dE5OCm9ofJjgSx0xqOCY/VcoydHL69SSnh4TlGPcWa5Zjx9D62IYfqDiLLLB8vWxc7IbIh8usTVPWnqnqIqh4C4FAAiwA+t+ZuPwPwu6p6EIC/BLClqf1hsiNRXJo2HBMeq+UYNzl0nlK6GPMcoznEWm5Y3dE8z595y/FRx755bpu21XH873ZaOpfXlbRoM/kx4rXsfgKzcASAa1X1nwc3quq3VPW24sfLAOzX1A4w2ZE4noTCMOFB7IT6wmNb8ywnyPh5XY3VHdPj8BBfUr1uW5xl13yi2NUjtLeIbB24nTjmvscCOGfC850A4ML6dm+1XZp6YrJjEQtYwGLs3TBvGXOYw3Ls3TAh15hZwgLmE/67u5hDhzEenac4Y8yEWcQ8FrAUezdat4R5zGf4d8e2jA7m0I29G7Vo83oj12sbyswMmk4I3ayqh026k4jMAXgWgFPH3Ocp6CU7fru+3VuNlR2Z4LegYVL9pqCKXGMm9W+MLX9bX5bnGE09ztrA93C11Ks7PH/eUx/KkioeYwJwjgwa7RkAvquqvxz2SxE5CMAZAI5W1Vua2gkmOzLi+UKhTUx4rMg1ZlK/wGHCg8qwHC+WPqvsNPrHoSzV8DhMREMchxFDWETkwQA+C+AFqvqPTe4Ekx2Z4QkpDBMeK3KNGUudqCZY7sCW5TVGU48xal+M6g5OVBoHEzM0TDel+SxS+lsyIyILAI5EL6HR33aSiJxU/PgmAHsBOK1YnnZrU/vCOTsy1L9Y4LjF8TiHx4pcx7l6mluBfPISY5bn7rD0HuY6dwdNxtgYreo1hqXrNMvHSLM2Arg79k5QE1R1Eb1kxuC2Dw78/yUAXtLGvjDZkbFcO7BlWDqRxsZ4SU9KF2eMz+alFC9Ur5QmKk1p8s9QOSVieK4YogNED/kNAO6JvA+paH6CUlc4jCVzLAmdjENaVuQYL6kPNeBwlvhSj7E2WHoPY8/dwYlKKQa2S5iox6pN8V6aKBYmO4gnqABMeKzIMV4sdaSawIRHfF5iLKVYoXq1OXeHV3UnwjhvR/NiHJsXZ8fHSbfj+DjMkKWWMdlBAPx2ENq0jDkmPQo5xouXzmhV7MRSKKuxYukzyuqOZjV9DmISgYgoDUx20E6LWMiyE1sWEx49OcaKpc4UjeY1NhlfRBRL7ARd1eM2r8mIaBwmO2gdrx2FNvHk2pNjrKTcIbX6jX0VXmPTS3xZjRVL71/szmPqy9A2ranqjpSHsng97tbF6nGxsmGTXHLiS/tm0JvwtambM0x20FC5n7BCMOHRk2OsWOpQ1S25izXKTsqfT1qR47mH6sHYSQQTLxSAyQ4aiSeDyZjw6MkxVlLuUKWS8PAal15iK5U4aRKrO8iT2PGaCy/HeKIUMNlBY3ntLLSJCY+eHGMl5QuWVDqyXuPSS2xZjRNL7x87kM3xOlFpykNZpmH1eG3peBKiG7viYdrXj73/lBQmO2giTlw6GRMePTnGibeLoDKsdmTL8hqXKccWtYfVHdSmGMfbFK/BJi0/S0RhGkt2iMhZInKjiPxwYNufi8i/iMj3i9szB353qohsE5GfisjvDWw/qti2TUReP7B9fxG5XESuEZFPishcsb1T/Lyt+P1Dmvobc+O1w9CWFE+2VTBOyCLGZXOsJsUsJYtY3UFEdep2bB53yYAZ9Kpjmro502Rlx4cBHDVk+7tV9ZDidgEAiMgjABwL4JHFY04TkVkRmQXwfgDPAPAIAMcV9wWAtxfPdSCA2wCcUGw/AcBtqvobAN5d3I9qwg7DeEx49OQWJ5Y6VXWz2pHNhZfYYpzYFqO6oy0cylIvq/tVt6bixvyxcNOI7dOE+aQVOtroIDvshFM7Gkt2qOrXAdwaePejAXxCVbuq+jMA2wA8rrhtU9XrVHUZwCcAHC0iAuCpAM4tHn82gGcPPNfZxf/PBXBEcX+qSW4d2bKY8OjJLU68dEqrMH/xFshrTKYcW02z9N7lxX05PwAAIABJREFU0ons41CWdqUybwcRUZ1izNnxChG5shjmskexbV8A1w/cZ3uxbdT2vQD8SlXvXbN91XMVv7+9uP86InKiiGwVka07bgrNyxDgt9PQFiY8enKLE0sdq7ox4UGTWI2RlD+XZbC6g9oyTXuwLYmoTm0nOz4A4KEADgFwA4B3FtuHVV5ohe3jnmv9RtUtqnqYqh42c/89x+03DcET0njLmGPSA/nFScodK6ud2bI8xmTKcZUTVnf4lNtQFo+avt7iMdin3QaG2LAF89RqskNVf6mq96nqDgCnozdMBehVZjxo4K77AfjFmO03A9hdRHZZs33VcxW/vx8ChtPsUC5MUwVXapmMCQ+fnctppHxRlErCwyMPcWU1Pjy8d21IubqD6kvKMAnTPB6TiNrRag9fRB448ON/BtBfqeV8AMcWK6nsD+BAAN8G8B0ABxYrr8yhN4np+aqqAL4K4Jji8ccDOG/guY4v/n8MgK8U959ocZkH96py68yWxYRHfjHCCxnbcovHNllNeFiRW0eyreoOfqapLMYMJYmrsazS5NKz5wC4FMDDRWS7iJwA4K9F5CoRuRLAUwD8NwBQ1R8B+BSAHwP4IoCTiwqQewG8AsCXAFwN4FPFfQHgdQBOEZFt6M3JcWax/UwAexXbTwGwc7naEEx4VMeTxnhMeOQXI6kmPFLpzHqMx1Rjqg1873pY3VENJwAth/N2TG9xtnqfpOuwU0rUhF0m36UaVT1uyOYzh2zr3/+vAPzVkO0XALhgyPbrsDIMZnD7PQD+oNTOrtFPeCzMLU3zNFlaxAIWsBh7N8xaxhzmsBx7N6LKLUaWsID5BP/eLubQSSCWPcajh5hKJT6asoh5LCCfa4wlzGM+o7+3jLpjYRkdzKE79fN4jFEr11htHf+6nTl0ug2/zkYAdwdsIzKKE1WMwSqPajiPx3is8MjvW5tUv1FOpcKDmmExPlL9LFJP0+cWVncQ1Sy0AoUfPaqIyY4JmPCoLrcObRlMeOQXH6l2six2aMvyGIupxlMbrLx3Mefu4FAWovKsHDuIKByTHQEWl+eZ9KjIYyeiLUx4MD5SwYRHHB4uvFOIDaoHJyodLdVJaz3M2xEzXqIdwzfFedmdmGttlqD3Hjd1c4bJjhKY8KjG44VHW5jwyCs+PHROc+YxFhlT1Vh531jd4Y+HoSxcgpYqsR/aRKUx2VESEx7VeOxEtIUJj7ziw0onq278Bp9GYWxQH6s7qGm8piKiQUx2VMBhLdVw4tLRljGX/Qk6p9hgwsMuj3HoIZ4sxoaV943VHQSwiiI1Fo95raqy9O2GgPvEHoJD7jDZMQUmPKrx2JloCxMe+cSGlY5W3VK4wPMYh6nGU9P4vrWvreqOJuU0lGVaHubtKKPtY8birJPPS0iigigCJjumxIRHNRZPYFYw4ZFPbKTa0WLCg4ZJIS6awuqO+nn8DFus7rC4T7Si2xl9XO1Wqa6wJoW/oW2z6FXANHVzhsmOGnBYSzUeL0TawoRHPrHBhAfVxUMsWYwLK+8bO5W+WKmcoOnldM1BlBsmO2rEhEd5PMGMxoRHPrFhpbNFq3mMQcYSVdF2dQcnKm1HrgkZT9dPPGZXxIoPCsRkR82Y8CiPE5eO5umE3YSc4iLFCx6L3+KXlVMMtsViXFj5/LG6gyzGwLT7xOOoc3UkFpicoEiY7GgAh7VUw5PhcEx45BMXVjpcdbLYsS3LWwx6iKMU4iI1qVZ3NCnXyok2eTv+DuJxriX8GNIYu8TegZQtLs9jYW4p9m64sogFLGAx9m6Ys4w5zGE59m5Ek1NcLGEB84n9rV3MoeM8fr3FYIpx1DQr79ki5rEAXjvUxdtnt27L6GAO3di7kRQrx4qpbAJw1xSP3wjg7pr2hWqlM4lMTlsTVnY0jFUe5XnO4jeJFR75xIWHb+bL4jdc7bMeRxZjwvp71jRWd9hgcShL6ixfY7hZfpbIICY7WsKERzmcx2O4ZcxlnfTIKSZS7HRZ7NyWkVP8tcV7TDSFnd16NfnZzWUoi7d5O3K+VpqKlXBmZQLVhMmOFjHhUR47F8PlfBLPKSaY8LDHW/ylGENNy/09Y3UHWePtuEtEdjDZ0TIOaymPJ7nhmPDIQ+4dL4u8xZ/1GPKeAGsKqzvyVmf751J94tW0x+huZ/QxlHM39GyOvQMUDScojYSTl5aT+wRjo+Q8cWm/w8m48CeFCUspbUlMQDiFLjrotDip5RLmMd/wpKxNXkfkMgnotJPn5ngtx/MdtW3HjKDb2bXBV/AVz6zsiIgVHuVwHo/hcq7wAPx9y16F9W/mq/D+bb63uLMeQxbjwcJ7xuoOourKXh+VOa5bOD4QpU5EZkTkh9M8B5MdkXFYS3neOhltYMIj/ZhI8cLKYge3DG9xZz2GvMdDatqeu6MN3iYq5VCWFd6Ot0Q0PVXdAeAHIvLgqs/BZIcRTHiUw5Peekx4pB8T1jurVXjv4HqLuxRjqEkW3q9cqjs4USnRaC6Wn92w5ufQ+UI4rwiN90AAPxKRi0Xk/P4t9MGcs8MQzuNRTo5jPyfpJzxynscj9ZhIcS4B72Oac4i7tniPhaZMO1dCVW3P3UH2cd4OImrZX0zzYCY7jOlXeDDpEYaTVA6X+8SlqccDEx40DevxYy0WrL9fKeFEpevVmejKZSJVCrQJwF2B990I4O4aX7sDMBSbsQMzDVcCtXt+VtVLROTXARyoqv9PRBYAzIY+nsNYjOKwlnK8lZK3IedhLTnEg4XyelrhLeYYP+VYeL9iDWdJce4O8qnKcdbCJKUhwzUtHGNysFvsHaDSROSlAM4F8KFi074APh/6eCY7DOPkpeV462y0gQmPtKV2ccT5O6jPeyxQdW3M3eFtolJrcplHxpNuJ8Ixk3Nt0AgisruInCsiPxGRq0XkP4y432NF5D4ROWbM050M4IkA7gAAVb0GwD6h+8JkhwNMeIRjZ2M9JjzSxoSHLZ5iznrsWIsFC+8XqzvylNqqLJ6Okynolk1KxA8R8u+9AL6oqv8ewMEArl57BxGZBfB2AF+a8FxdVd05dkZEdgGgoTvCZIcTTHiEW8QCT6RrMOGRNgudsDpZ6+SW5SnmUosdSoP36g4iolyJyGYATwJwJgCo6rKq/mrIXV8J4DMAbpzwlJeIyBsAzIvIkQA+DeALofvDCUod4eSl5eQwUWUZnLQ07VhIbRJFa5NUpsxy7FiLAwvvFVdmsY8TgdqS8/WPKSGTnG4AcE8L+5KwHZhp+IuM2/cWka0DG7ao6paBnw8AcBOAvxGRgwFcAeDVqrqz9UVkXwD/GcBTATx2wgu+HsAJAK4C8F8BXADgjNC9ZWWHQ6zyCMdvblZbxly2VR45xEJq39J7rvDIId7aYi0OUvucWdVGdYcn1oayxBpS1cax1erxu9kVNoiC3ayqhw3ctqz5/S4AHgPgA6r6aPRSXK9fc5/3AHidqt436cVUdYeqnq6qf6CqxxT/5zCW1DHhEc7qSSsmJjzSlVpHzFpHtwxP8ZZa3KSOc3fUw9NnNDWpvPdckSUyTpJq0XYA21X18uLnc9FLfgw6DMAnROSfABwD4DQRefawJxORq0TkyjW3fxCRd4vIXpN2hsNYHOOwlnD9k2rqQxnKyLWsk0Na/LE2lKEMT/FmOW6sxYCF9yrWcBYKw6EsRHHtuhFY4kewdar6ryJyvYg8XFV/CuAIAD9ec5/9+/8XkQ8D+DtVHbWc7IUA7gPw8eLnY4t/7wDwYQD/adz+MNmRgMXleSY8AnnqeLSBCY90WeiMUY+neLMcN9YSHrlqc+6OJcxjvuGEjqfPp7UEl7X9IdopZH4QatIrAXxMROYAXAfgxSJyEgCo6gdLPtcTVfWJAz9fJSLfVNUnisjzJz2YyY5EsMojnKcLmzYw4ZEuyx3XstjRJWssfL7Y2bTNcnWH5X2bpMr5O4drnW5nDp1uyb9xE4C7Gtmd+vQTFx3AachmR1W/j95QlUFDkxyq+qIJT7dJRB7fHxYjIo9DL3IB4N5J+8JkR2JY5REmh45uGTlcBAyTQxxY6JDVxXPCw1OsWY4ZazFg+b1qUmrVHRSH5eOi5X2rorsR6Exb6eClWiLzFV0U4nq+syFeAuAsEdkEQNAbvvISEdkI4K2THswJShPEyUvDLGIhmQmy6pDrSi05xEBKk555PoF7ijXLMeM5BpoQa7LSlHj6bLK97bF8vGzdhsivzwlLk6Oq31HV3wJwCIBDVPUgVf22qt6tqp+a9HhWdiSKw1rCpZa9n1aOVR45xEBK30Bb+3a/jBxiLTcpfbbKYHVHGMvDRerYNw6lClfHuWtxdh4L97Xwftc1ZKTNapARr7UZYIQ6JiKnrPkZAG4HcEUxXGYsVnYkjlUeYTx9q9MGVnikKaVvnzx/u+8l1izHi7X2j/1e8dv+6Xn5XKam6vte5XEerm1iH0tc2DT5LpSUwwCcBGDf4nYigCcDOF1EXjvpwUx2ZGBxeZ5JjwAc1rKah4uCuuUQAyldSFnr8KbIcryw/eProtPaay0xobMTk1tkBoeNUPP2AvAYVf1TVf1T9JIf9wfwJAAvmvRgDmPJCCcvDcMy8xU5DmkB0o+BlMruvQ5p8RRjKcVLk2K/TxxOML2mPpccyuKTp+M0Ud8OzJj+oqKCBwOrLvT+DcCvq+qSiEw8eLGyIzOs8AiT+rf7ZeRY4QGkHwMpnQi9fsOfeoy1wWvbNyXGN/6s7oiD1R00TLeT0DGRVSPU83EAl4nIm0XkzQC+CeCcYjWWH096MJMdGeKwljDsiKzgSi1pSinh4ZWXGLMcK5YSHpbfJ4prucWkkDdtztvRFH72K+BHggKo6l8CeCmAX6E3MelJqvqWYjWW5016PJMdGWPCY7Ic5nAogwmP9KRygWapw1uWlxhLJVaaFvt9YnXHdLx8HutURyLGS6VJ7OsYk+cqCxN+soqD1hCRzcW/ewL4GYCPAvgIgOuKbUGY7MgcqzzC5HjxM0rsC4UY2P4+mLyITEzsjvwobHvKkZcEA5Uz6Ti7OFut3bsWEgoW9oG8+Hjx7xUAtg7c+j8H4QSlBICTl4bgRFUrcpy4NOX2jz2xYp04YWm+LLV97M9UjAkju+igY3QSzrJynKiUhuOxmbzZgZkkvqRT1d8XEQHwu6r686rPw8oO2olVHpNxWMsKVnikxeo39lV4/ZbfS3ylFCvkEycqrV/sOUVSmLeDiOqlqgrgc9M8B5MdtA4THpPx5NrDhEdaUurEMuHRLKuxYqndY79Hqc/d0bSmPot1JxUsDWWxtC/jNHXtEvszX7thocphKNS+y0TksVUfzGQHDcWEx2ReOiVNy3GllpTbPqWLNUsd3zK8xJfVWLHU7lbfoxSwuoMoc0y85OIpAC4VkWtF5EoRuUpErgx9MOfsoJH6CQ/O5TFav1PC8Zz5zeOR8jje2PMN1MnSPA5lpBxfbfDa7nXj3B1URuw5RXI57jV9fOp25tDpOj7+bQBwT+ydIEOeMc2DG6vsEJGzRORGEfnhwLZ3iMhPiqzM50Rk92L7Q0RkSUS+X9w+OPCYQ4sMzjYReV8xUQlEZE8RuUhErin+3aPYLsX9thWv85im/sZcsMpjMi/fxDaNFR7pSOkbaUvf9KcmpThpSuz3yMvQgiq8LkPLoSx1v2azn7GUz/WN2BB7B/KmkJ1V103cIvifqvrPgzcA/zP0wU0OY/kwgKPWbLsIwKNU9SAA/wjg1IHfXauqhxS3kwa2fwDAiQAOLG7953w9gItV9UAAFxc/A73sT/++JxaPpylx8tLJeDLsYcIjHbE7aXXymPDwEltW48RSm1t9j5qS0twdRDE0tfwskUOPHPxBRGYBHBr64InJDhF5Rb9qogxV/TqAW9ds+7Kq3lv8eBmA/Sa89gMBbFbVS4vZWD8C4NnFr48GcHbx/7PXbP+I9lwGYPfieagGTHiM56Vz0rQcEx6ptn1unTRrvMSV1TixlPCIKeXJSlndUS+r+1W3XCcp7Y6a52LTFE86ae6MNubWyCNssyIip4rInQAOEpE7itudAG4EcF7o84RUdvwagO+IyKdE5Kj+MJIa/DGACwd+3l9Evicil4jI7xTb9gWwfeA+24ttAPAAVb0BAIp/9xl4zPUjHrOKiJwoIltFZOuOm2+Z7q/JCKs8xku541sGJy5Nh/WLt1BeO76pxlVuUvkckU2pDGXh8Y6IAEBV36qquwF4h6puLm67qepeqnrqxCcoTEx2qOob0RsSciaAFwG4RkT+l4g8tOrOi8j/AHAvgI8Vm24A8GBVfTSAUwB8XEQ2AxiWWNFJTx/6GFXdoqqHqephM3vvFbbztBMTHuPxhN3DhEcaUumoMeHRHKsx4rXN68bqjuo8fP5yx3k7aJh5Vny4VyaxMUzQaiyqqiLyrwD+Fb0kxR4AzhWRi1T1tWVeUESOB/D7AI4ohqZAVbtAb/pnVb1CRK4F8DD0qjIGh7rsB+AXxf9/KSIPVNUbimEqNxbbtwN40IjHjLRjB1fhrWJxeZ6rtYyRy8zik3ClljSkskqL15U6PMSV1Rix0uZW3x+Ko+7VT+pafSf2qiw5sHJMysluQBZH3x2YYXJuQMicHa8SkSsA/DWAbwL4LVV9GXoTgzy3zIuJyFEAXgfgWaq6OLD9/sVkIxCRA9CrJLmuGJ5yp4gcXgyfeSFWxuicD+D44v/Hr9n+wmJVlsMB3N4f7jLJ8j1M/1XBYS3jcVhLDys80mD12/uy+G1/c1KJkabEfH9Y3UG0IrfrEqIchZQz7A3gOar6e6r6aVX9NwBQ1R3oVWgMJSLnALgUwMNFZLuInADg/6KXWLtozRKzTwJwpYj8AMC5AE5S1f7kpi8DcAaAbQCuxco8H28DcKSIXAPgyOJnALgAwHXF/U8H8PKAv3Gn5Xs6THpUxITHeKl2fsvI7cIi1TZPpTPrMeGRaky1wWN7N8HS3A6e5DZR6bRynrejrnPkNM/T7dR0vEszPMkZETm4WDTlFSJycJnHjhzGIiJ7Fv99z5qfAQCqequqXj3q8ap63JDNZ46472cAfGbE77YCeNSQ7bcAOGLIdgVw8qj9CrV8TwdzG1jCV1Y/4cGhLcN5KENvWj/hkcuwllTbPJVyfI+lxB5iymp8WGlvq+9PU7rooNPCsIglzGO+hmEcnuU8lMXDsbFOi7PzWLgvQrxvBHB3+y9LeRKRVwN4KYDPFpv+VkS2qOr/CXn8uDk7rsDKxJ5rJ/1UAAeU2VGP+hUeTHqUx7k8Rut/Y5HTCXmYnObxSPUCLJUOm5UOcBkeYiqV+GhKzPenrg5xbjx87qg5bP8GdICgnBoTLDk7AcDjVfVuABCRt6M3emS6ZIeq7l/L7iWASY9qWOUxHk+aTHikIJUOLRMezbAYHx7bOgWs7hjNYxVFiGmSah6Ob151NwIdJg6SleAEpQLgvoGf78Pw1VeHClqCRESeIyLvEpF3isizS+5gMjiXRzWcy2O0xA5GleQ0j0eq7c05POJJNaaaZqWtc5usNAUePnN1tW2q84kMinkNYuU4tNOmll5nY0uvQ6n4GwCXi8ifi8ifA7gMwFmhDw5ZjeU0ACcBuArADwGcJCLvr7av/nEC02q4YstoXK0lv4RHiu3NhAeNYjU2rLR1TgkPrswyWg6JhTakeH7NBpMgNISqvgvAiwHcCuA2AC9W1XeHPn7cnB19vwvgUcXEnxCRs9FLfGSNE5hWw7k8Rsu9ZJMTl/pncchCDjzEEmODUuLhM2dlXhYr+9G2uo55bo+dGwDc08Dzhs7xQckQkY+q6gsAfHfItolChrH8FMCDB35+EIArS+1loljlUQ2rPEbjNxL5VXmkxuq3+GVY+ca/DA+xZDE2rLQ1qzvq57G6w6KYFScWj2sW92mU2pafDdFUVQarPQh45OAPIjIL4NDQB4dUduwF4GoR+Xbx82MBXCoi5wOAqj4r9MVSxQlMq2GVx3BcrYUTl3rn9puoAR4nsfQQSxZjw2NbU5pSnajUOs/XHNGWnyWzehOU+k/2isipAN4AYF5E7uhvBrAMYEvo84QkO95UfvfyxKEt5XHFltE8dFya5Pnio6wU29pip7Ysj53gFGMpFzktRZvCyiwePmu5DiHx0DZ9Hs8zJmwCcFfsnaAmqepbAbxVRN6qqqdWfZ6Jw1hU9RL0hrLcD8BmAD9V1Uv6t6ovnCoObamGw1qG81Qu2YRlzGUzrCXFtl7CgsmhC2VYGeZQhvVYshgTVtrZ4ntD7bI4Uem0+5TCt8xZqyMkmxyOwqEuSZsm0QGErcbyEgDfBvAcAMcAuExE/niaF80BEx7lMeExXKqrd5TBhIdv3jtwVjrCKbEYE7m3M+fuKC/VY7Ylnt9ji8e52jDBQE6ETFD6GgCPVtUXqerx6E0I8rpmdysNrPIoj5OXjub5hF8HJjx8837R560j7CGOvMdEUzhZKdWJVRVhylxjeDi+TtJlsoIyEZLs2A7gzoGf7wRwfTO7kyYmPcpjwmO4FE6w02DCwzfvnVsmPNJnpY29f1as8VbdwaEs00vp+Nfq8WBTey811obYO0CWiMisiPw7EXlw/xb62JAJSv8FwOUich4ABXA0gG+LyCkAoKrvqrTXGeIEpuVw8tLhcl+tpZ/wSH3y0lTb2fvEpd4mk7M+UZ/FePDWxnVLdbJS8sv6cYzsmwdwx8R7pUEhJhOmVYnIKwG8GcAvAewoNiuAg0IeH1LZcS2AzxdPCgDnAbgBwG7FjUpglUd5rPIYLqVvLapglYdf3r+1tvLtfyjrMWQxHiy0scX3hYazXt3BoSy2TXu8WZwd3b7dTvxjGdGUXg3g4ar6SFX9reIWlOgAAio7VPUvpto9Gqqf8GClRxhWeQyX6rf/oXJZnjbFb7UsfqNfhrdv/63HkPd4aEqs9yXF6o4ml6HNxTI6mJuinawvhVvmmiL0mMpjG9HUrgdwe9UHT0x2iMhXsVLVsZOqPrXqi9IKDm0pZ3F5ngmPIax3ZJrEhIdf3i8CmfCol7V48Na+dbPeMaVycmxP68c8IgpyHYCvicjfAyvZ1tCpNELm7PjvA//fAOC5AO4ts4c0Hqs8ymGVx3A5n9SZ8PDLWge3rNw7xKmz0L7ePyOhvFd3NHF8nraSIiUpnv+SsxHA3QM/bwBwT8DjOgDDnMb4eXGbK26lhAxjuWLNpm+KyCVlX4gmY9KjHFZ5rJfzsJacJi5NrX29d+YsdIhDWY8f77HQlFyGs5B9qQ9lsYrHRgq1AzNJzdPTn1JDRHbr/ah3lXn8xAlKRWTPgdveIvJ7AH6t2u5SCE5gGm5xeZ4TmA5hfULCJuUwcWmK7et9MkYLE1qGsh4/1mLBU9t6121hBYGcl6FNqQOUmhjHme7GEneu+6NZ5rXJHRH5JxG5SkS+LyJbR9znycXvfzSukEJEHiUi3wPwQwA/EpErROSRofsSMozlCvTm7BD0hq/8DMAJoS9A1bDKoxxWeaxn/RvcJuUwrCXFKh7v31yxwqM+1mLBQtuyuoNyV+W4VfYxXicpXZydx8J9/JxOYiuVnrynqOrNw34hIrsDOA3AUar6cxHZZ8zzbAFwiqp+tXjskwGcDuAJITsxsbJDVfdX1QOKfw9U1aer6jdCnpymxyqPcKzyWG8RC+a/xW1KDhUegP1v6cuy9q1+WZ6qAKzHjrVYsNC2sd6TNisCWN2xXp3VHXWYdn9YYdKu0svPbgq8H6szqLr/AuCzqvpzAFDVG8fcd2M/0VHc92soEX0jkx0i8lgR+bWBn18oIueJyPtEZM/QF6DpLd/TYdKjBCY81rPeqWnKMuaySHqk1r7WOrkpSy12KA1tJDxyxUQDEU1pbxHZOnA7cch9FMCXiyEnw37/MAB7iMjXivu8cMzrXScifyYiDylub0RvpEmQccNYPgTgaQAgIk8C8DYArwRwCHrlJMeEvgjVg0NbwnHFlvWsl603KZdhLSm1r7VhDGVYGPJQhuXYsRYHFtqWw1nq4W1lFqqO7WHE2tVaqt6HxtqBmaarwW5W1cMm3OeJqvqLYnjKRSLyE1X9+sDvdwFwKIAjAMwDuFRELlPVfxzyXH8M4C8AfBa9aTW+DuDFoTs7bhjLrKreWvz/jwBsUdXPqOqfAfiN0Beg+rHKIxyrPFbjsJa0pda2nis8LAx5KMNy7FiLAwtta+09aQKrO1azNlFprKE1bRyrylwvtHnszOFzXxqH0pikqr8o/r0RwOcAPG7NXbYD+KKq3l3M6/F1AAePeK7bVPVVqvoYVX20qr5aVW8L3ZexyQ4R6Vd+HAHgKwO/C5nYlBrEoS3hOJfHepY7Nk3KYVhLam3r+eLOQqc4FdbiINe2TW0IhLe5O1KSWixNEnIMy/W40hgmQqIQkY3FMrEQkY0Ano7eSiqDzgPwOyKyi4gsAHg8gKvXPM97in+/ICLnr72F7s+4pMU5AC4RkZsBLAH4h+IFfwPA7aEvQM3i0JZwHNqyWoqreYRKfVhLaiW71oYylGFh2EMo63HjOQ6akMNwli466IDXN33L6GDO0PthbX+IyIQHAPiciAC9XMPHVfWLInISAKjqB1X1ahH5IoArAewAcIaqrk2IfLT4939PszMjkx2q+lcicjGABwL4sqpq8asZ9ObuIEOW7+kw4RGIy9SuZr2D05QcEh5AOskszx1dJjzSZKFdPX8urMh17g7Pc7C0sQStR1WWn+1uBDpe5sgoM5/HBgD3NLgvNJKqXochQ1JU9YNrfn4HgHeMeZ4riv8eoqrvHfydiLwawCUh+zN2OIqqXjZk27CJQ8gAVnmEY5XHajlcBAyTesIDSKttPXfsLHSMQ1mOGWsx4Kld68TqDqqD5YRLatcH3c4cOt0p/54OEOWjWHbS0swnOd2BmdSG0R0P4L1rtr1oyLahxs3ZQU5xPo9wnMtjRa6Tl3IeD1+szd1Qhqfx2JZjxnMMNIFHEvaeAAAgAElEQVTvx/SanLujbpyo1B7Lx8vKNlV8XOx5Moa8/m4b2t8Nmp6IHCciXwCw/5r5Or4K4JbQ5+FEowljpUcYVnmsZvlb3Sal9i3OWim1q7Vv98vwVAlgOWYsxYCFNo3xfqRW3dHUcBbLnyPPPL6vIZ/TSccTS8e+IG0OJ4lVeUJN+RaAGwDsDeCdA9vvRG+ujyBBlR0i8usi8rTi//P9GVbJB1Z5hGGVx4qcqzxSllKbev42mxUe9bAUA57atE5trqjBpWhXpFRN0WYMWT6eUQnphD+Noar/rKpfA/A8AJer6iWqegl6q7bsF/o8E5MdIvJSAOcC+FCxaT8Any+9xxQVh7aE4TK1q+V4YcCEhx9LWDDV4S3DU+c4pZhpUuw29fpZsKSp4SyWP0McyjJa6tcDtYg9bIVy8Cn0Vmzpuw/Ap0MfHDKM5WQAjwNwOQCo6jUisk+ZPSQ7OLQlDFdsWeGxVHRa/QucVIe1cKUWGywMf/DOa9s3hcNZ8sFlX22xcq1UZUUWs7iiSiUKcTUPUYBdVHXnxZKqLotIcCYyZBhLd/AFRGQXADrm/uQAqzwmY5XHCg5rSVNKber1W+3Y1QChLMeKpbb30p51a3MoQtNyrO6IrWr88D2tRzdWdQarQijMTSLyrP4PInI0gJtDHxyS7LhERN4AYF5EjkSvbOQLpXeTzOHQljBMeKzI8cKCCQ8/LHV6y/DSQbYcK5baPnZ7WnovmsC5O+qX01CW2MexmJ/PbsfwucZH+FAcJwF4g4j8XESuB/A6AP819MEhyY7XA7gJwFXFE18A4I0VdpSMYtJjMlZ5rMixyiP15WlTak+vHb3YHeRQlmPFUtvHbs8Y7wWrOyar+/PjJcHgWYxz/6Tjh6VjXWms5qCSVPVaVT0cwCMAPEJVn6Cq20IfHzJnx9EAPqKqp1fdSfJh+Z4O5/KYgHN5rLAyPrVNKS9Pm1J7ep3HwcscHinFCvnEuTvq1+bcK3W+Po9HRGkSkeer6t+KyClrtgMAVPVdIc8TUtnxLAD/KCIfFZH/WMzZQYlilcdkrPJYkWuVR6pSak+v33zFrggIZTVOLLV77LZkdcd0WN1RnqV9Gaep45fV42Jlm4Zs89HEWduBGXTRaezWon4d0G4jbkEmJi5U9cUisiuAZwD4LwBOE5GLVPUlpXeZ3OCqLZP1Ex6s9Mjvm5UcVmtJoT1Z4dEsq3Fiqd1jt2XKq7OwuoMoc5sA3BV7J6gpqvqh4r+nqepNVZ8npLIDqvpvAC4E8AkAV6A3tIUywEqPyVjl0ZPcNxoBUq/ySIGlb/rLiF0VEMpqnFhqdy9t6VHT3zLmVt0RuzIn9uuPUve5vunj0+Js5Pdx2nk5OK8HrfYtEfmyiJwgInuUffDEZIeIHCUiHwawDcAxAM4A8MDSu0muMeExHoe29KQ0DCIUEx72Wer4luGlk2w1Try2e904nIXaFGMoi9Vj0DSSnqSUqARVPRC9xVEeCeAKEfk7EXl+6ONDKjteBODzAB6mqser6gWqem+lvSXXWOUxGRMePSleeIzDhId9Xi8MmfCYjpV2j92OKSc8WN1Rr1wSVbnO2zFq+dnuNNUUkx67YYrnrmsfyDVV/baqngLgcQBuBXB26GMnJjtU9VhV/byqcmAkAWDSYxJWefTkVuWR8vK0qbSjlY5vWbE7ylQPtiM1ydLkoNPsSy7JFiIKIyKbReR4EbkQwLcA3IBe0iPIyAlKReQbqvrbInInAB38FQBV1c1Vd5rSwKVqx+MytT1WJzFsSqrL0/YTHt7bsp/wsDKBZajYE12GsPpZ54SlPZystLolzGO+gb/D6mfGo6bfy1TP7anbdSOwVBwaNgO4M+retGMHZlJLGv4AvVEmb1HVS8s+eGSyQ1V/u/g3eGkXz3RH0FyttAZXbRmPK7b0pNJRDpXyRVEqF+eWOsChmPCozmN7N4HvQ9qW0cFcDUmftpJUOeNnkSjYAaqqk+82XMgEpR8N2ZaCpbsWsHSXzzLn2Di0ZTwObelJZThECA5rsc/jsBYPQyGsxoeV9vbQhnXi3B158jCUxeqxqm+aY0X0FVmI6nOgiGwpVmT5Sv8W+uCQcoZHDv4gIrsAOLTsXnrCpEd1THqMx4RHnnN5pCiVNrTSAS7DQ2fZanxYae+YbcjJSm3hMrT1sXLcaWs/Wvksbxqyzd/HjHz7NIDvobciy2sGbkFGJjtE5NRivo6DROSO4nYngF8COG+6ffaBSY/qmPAYjVUePVYuStqQcsIjhXa00gEugwmP6qy0d24JjxSwuiNvqZ7LowpdRYWrreTsXlX9QLEiyxX9W+iDRyY7VPWtxXwd71DVzcVtN1XdS1VPDXlyETlLRG4UkR8ObNtTRC4SkWuKf/cotouIvE9EtonIlSLymIHHHF/c/xoROX5g+6EiclXxmPeJiIx7jaqY9KiGVR7jMeFhtzPUBA5rsc1j548JD5pG2zHP6o7RrFZ3TItDWcaLdd4Ztfxsa5i4aNQOzGAJC43dIviCiLxcRB5Y9PH3FJE9Qx8cMozl2yJyv/4PIrK7iDw78Pk/DOCoNdteD+BiVT0QwMXFzwDwDAAHFrcTAXygeL09AbwZwOPRW2bmzQPJiw8U9+0/7qgJrzEVJj2qYdJjNFZ5pFMdEIoJD7uY8GiGxdiw0tYe2q9OHodGrJVTdUcK7UXhukxCkE3Hozds5VsArihuW0MfHJLseLOq3t7/QVV/hV7yYSJV/TqAW9dsPhrA2cX/zwbw7IHtH9GeywDsLiIPBPB7AC5S1VtV9TYAFwE4qvjdZlW9tJih9SNrnmvYa9SCSY9qmPQYjUkPmx2ipjDhYZeVTnAZHjrMFmPDSltzOEv9WN2RLyvvo5X9iKZK4iTkY8uETHZUdf8htwNCHx+S7Bh2n5FL1gZ4gKreAADFv/sU2/cFcP3A/bYX28Zt3z5k+7jXWEVEThSRrSKyFbfcVPoPYdKjGiY8RmPCI58qj1SHtaTQfh47gEx4VGOlrXNKeKQwnMVDdYeViUo9DGUpo+3ztpsVWZpKQmxo6HnJDRHZVUReJSLnFrdXiMiuoY8PSXZsFZF3ichDReQAEXk3euUjdZMh27TC9mCqukVVD1PVw7DX/cs8dBUmPcpjlcdorPKw2SlqSqoJD+9taKUTXAYTHtVYaWsP7Ucrmkh4WPx85MDz+27l+EXUoA+gtxLsacXt0GJbkJAKjVcC+DMAnyx+/jJ6S79U9UsReaCq3lAMRbmx2L4dwIMG7rcfgF8U25+8ZvvXiu37Dbn/uNdoVD/hMb9psY2XS0I/4TG3oRt5T+xZXJ7HwtxS7N2Ipn/xsYD0P0/LmMMclmPvRu0WseC6/foXkfOO/oYu5tAxHksW42IJC67auW5t//2LmMcCmj+/ddFBB/leXyyjgzkDf3/b+2HxGDNKNseeDQDuqfH5OoCB0DZJIaklzx+rqgcP/PwVEflB6IMnVnao6t2q+noATy6qIN6gqndX2dPC+ehNNILi3/MGtr+wWJXlcAC3F0NQvgTg6SKyRzEx6dMBfKn43Z0icnixCssL1zzXsNdoBSs9ymOlx3Cs8vD9jUsZHNZil7dvzjxc5KQQF03gcBZfcqnuiNlWnuPEYltWsin2DkzAeTxSd5+IPLT/g4gcAOC+0AdPTHaIyBNE5McAflz8fLCInBby5CJyDoBLATxcRLaLyAkA3gbgSBG5BsCRxc8AcAGA6wBsA3A6gJcDgKreCuAvAXynuL2l2AYALwNwRvGYawFcWGwf9RqtYtKjPCY9hss96ZHCsIhQTHjYxIRH+qy0MduuXh4nK62TlWVorStznkrhPD318rMMK2rPawB8VUS+JiKXAPgKgD8NfXDIMJZ3o7ciyvkAoKo/EJEnhTy5qh434ldHDLmvAjh5xPOcBeCsIdu3AnjUkO23DHuNWDi8pbzlezoc2jIEh7b4KU2dRorDWlIYluSt3Nj6kBaLn2crbRyr7VIdztKkJcxjvua/weJnY9q24lCW6to8HnQ3Ap1p6vfrshGAhf2g6FT1YhE5EMDD0Zuz8yeqGnwwCZmgFKp6/ZpNwaUjtIKVHuWwymM4VnnkUeXBYS02Wfn2P5T1KgGL8eCtjeuW4nAWVnf4/vs9D2Vpw7jPbKsrshi2OfYOUGUicjKAeVW9UlV/AGBBRF4e+viQZMf1IvIEACoicyLy3wFcXXF/CUx6lMWkx3BMeuTxGWLCwx5vnWEmPMqz0MY5zd/RBm9L0Vr8XFB5Ie2Y4ueN4tmBGSxhobFbBC9V1V/1f1DV2wC8NPTBIcmOk9AbXrIveiugHIIRw02oHCY8ymHSY7jcEx45XBCmWOXhvd28XZwy4VGehTa23m514Tf3PkzbTm1XmJQ9ruQ2bweREzPFYiQAABGZBcI/gCOTHSLy9uK/T1HV56nqA1R1H1V9fjEnBtWAVR7lMemxHqs88vgMpXZx5b3dLHSGy7DecbYYDxbaOFa7cThLOdarOziUhRpXdVUUrqZC430JwKdE5AgReSqAcwB8MfTB4yo7nikiuwI4dcodpABMepTHhMd6OSc9cqrySIn3dotY1lkJEx4+5ZLwIPu8VXekwvqxeygmMagerwNwMXqrsJ5c/P+1oQ8el+z4IoCbARwkIneIyJ2D/06zxzQakx7lsMpjuFwTHkAenSUOa7HHU6fQ+kWztVjw1LbesbpjPVZ3TKfJoSx1inGcKbX87KaaXzxSImS3OC9LU1DVHar6QVU9RlWfq6ofUtXgxVLGLT37RlV9jYicp6pH17CvVAKXqy2nn/DgcrUr+gmPHJeqTWGZ0xCpLVHrfalAK8uWhuCytOVYaFsuR1ufLjrotLgMampiLRlsbani0HNwG8czC8cosmEHZsx9aRDTuMqOS4t/WcURESs9ymGlx3q5D21JHSs8bPFUBcAKj3IstC2Hs9jH6g4f+5CTssvPdkOrLtiM5MC4ZMeciBwP4Aki8py1t7Z2kHqY9CiHSY/1ck54WOs01S21YS3e28xTx5AJj3IstG0OCQ8OZyFK0IaA+/DSnQoi8tHi31dP8zzjkh0nATgcwO4A/tOa2+9P86JUHZMe5TDhsRqrPNKWUsID8N1mFjrFobqYM530sBYHFtrWcnvVhatvrGatuiNW+1R53VSWoM3hc19a3XOJkCWHisivA/hjEdlDRPYcvIU+ycg5O1T1GwC+ISJbVfXMOvaY6sM5PcJxPo/1cp3PI4e5PPoXXqnM5WFt7oYy+p1iL+OoLc/jYS0Och0fn9rf3eTcHUuYx7yh+SWsWUYHcxnNmxJyDEvt8xXdBgB3x94JmsIH0Vsw5QAAVwCQgd9psX2ikZUdIvJaAFDVM0XkD9b87n+V3VtqBis9wnFoy3qs8khXSlUeHNbSHsvfHFqLgdjtyuEs9WhyOEvdWN1B41T5bJZakcWTjJe9VcjOis0mbq39HarvU9XfBHCWqh6gqvsP3IISHcD4YSzHDvz/1DW/O6rMzlLzmPQIx6THarkObfHegQ6RUsIDsNfZLSN2x7gMJjz8YMLDNs7dMV7VhIu1oSzUsP5cH6EJjIwTHZaIyKyIfE9E/m7I7x4sIl8tfn+liDxz1POo6stE5GAReUVxO6jMfoxLdsiI/w/7mYxg0iMckx6r5Zz0SFmKk5d6xYRHPSzFgIU2tdxWXuRa3UH18HCOLbsiy1Ah82PETjQM+SjP+/l4p+bVAK4e8bs3AviUqj4avQKL00Y9iYi8CsDHAOxT3D4mIq8M3YlxyQ4d8f9hP5MxTHqEY9JjtVwTHqlfQHq4GAvlua0sdI5DWe5EW4oBC20ao61Sq+5oKuFhubrD81AWjxU/IcetSZ+rtj7rwcvPTtJm8iN2ooV2EpH9APxHAGeMuIsC2Fz8/34AfjHm6V4C4PGq+iZVfRN6C6i8NHRfxiU7DhaRO0TkTgAHFf/v//xboS9AcfWTHkx8TMaExwpWeaQppSoPzwkqC53jUEx4hPHUpnVKLeHhhaXYn1YdCZdQKb1vZsS4dGZSw4P3AHgtgB0jfv/nAJ4vItsBXABgXKWGALhv4Of7UGKUybjVWGZDn4R84Aouk3HlltVyXLUllxVbuFpLXJ5m3ecqLWFit2msdor9d9epqdVZLK/MUseqKIuYx4LRv28alo4vRKF2YKbpRPTeIrJ14Octqrql/4OI/D6AG1X1ChF58ojnOA7Ah1X1nSLyHwB8VEQeparDkiN/A+ByEflc8fOzAQSvFDuusoMSxUqPyTi0ZTVWeaQnlQoPwG9bLWHBTUUAKzzCxG5Py+1UB8/VHXUPZ7EU99Nqc6LSplg5p8Y+BpUyqUKDFRxW3ayqhw3ctqz5/RMBPEtE/gnAJwA8VUT+ds19TgDwKQBQ1UvRm4Z272EvpqrvAvBiALcCuA3Ai1X1PaE7y2RHxpj0mIxJjxU5Dm3xPFQiBIe12ODl4tRyR9pS28duT87fMR1Pk5XWxfPcHWXFPlbEfv1hTCw/y8RGMlT1VFXdT1Ufgt7ko19R1eevudvPARwBACLym+glO24a85zfLZaifa+qfq/M/jDZQUx6BGDSYwWTHulJJeEB2LyQDBG7gxyKCY8wsdsz9YRH07xMVmop5lMV4z1uapLSWlZkmdaGyXehNInIW0TkWcWPfwrgpSLyAwDnAHiRqjayAMrIOTsoP5zTYzLO6bFicXk+q7k8gLTH7/YTHinM5eG1nbzMfcA5PMJ4aU+PUp0jIqY65u6I8fqMBSK7VPVrAL5W/P9NA9t/jN5wl8axsoPWYaXHZKz06GGVR3pSqfLw2kZevh1nhYd9qVd3eB3OknJ1R+5DWVI5f/YNXX52U+u7MRovw7MgIg8QkceIyKNF5AFlH8/KDhqJlR6TsdKjJ9dVW6x8g1y3VFZr8bqyTr/DaL0qgBUek8Wu7ojRRrH/ZqrOa3WHN00fn9x/BjtABmHQmB2YMZUErUpEDgHwQQD3A/Avxeb9RORXAF6uqt8NeR5WdtBErPSYjFUePblVeqRc5ZHa5KUeeajyYIXHZLHbMeUKD1Z39FiJdSBOdUfTr2lx3g7TONko1ePDAF6tqr+pqk8rbv8ewJ+gtxxtECY7KBiTHuNxaMuKnBIegK0Lzbox4RGXhwveLubMJj2stHvsdrTaPnVgwqNedazM4oH3oSx1T1I61Yosk0KmjeQHEywp2qiql6/dqKqXoUSLM9lBpTHpMR6THj2s8khHKlUeXtsodkc5lNUOtZU2j92ObbdP7L83N1biHJguAZVLsoWIJrpQRP5eRP5IRJ5Q3P5IRP4ewBdDn4RzdlBlnNNjPM7n0ZPbfB5e54kIkdJcHt7ax8sYbKvzeFhpcy/tWJe2/t6mV+ToooNOA5MILGEe8zXud11x7nHujKZjoO5jiJVjUvI2Ari79995AHfE3BcqRVVfJSLPAHA0gH0BCIDtAN6vqheEPg+THX33CXBXkU3e5OsAHxuTHuMx6dGT21K1qV7IpLJErcf24cSl07HS5jETHilPWOo14UHxWDkmENVJIUlU4wKAql4I4MJpnoPDWIa5q7OS+KBgHN4yHoe3cGhLSlI4kXptHw/DAzikZbyYbcgJS22xOlnptMNJYgxlsdL+dZ0fJ31uxn2W6/rMmV9+lrIkIltC78tkxzhMelTCpMd4THrkmfRIUUpzeXjDhEd1Vto7t4RHCpqarJR8sHLsSEroNJMbGt0LMkhE9hxx2wvAM0Ofh8mOEEx6VNJPejDxMRyTHnklPbxWEYRgwiMOJjyqs9LeOSU8WN0xGqs76n/tUDGPBbFee9SKLK1h4oLC3ARgK4ArBm5bi9s+oU/CZEcZ/aQHEx+lMekxGpMeeS1Vm2rSI5WEh7e2YcKjOittzYRH/ZpMeOS2FK03HpNdVky1/GwduHwsrXYdgCer6v4DtwNUdX8Avwx9Ek5QWhUnM62Ek5mOlvtEpjmu2pLaxGicvDQODxOXctJS6kthRRoPk5Vaie1pJo61uCpM6Pta1+plbj4vHWBVUw2sglKrpp43ITswYyaZP6X3ANgDwM+H/O6vQ5+ElR3TYqVHJaz0GC33Sg8ObfEvlSoPb6xXeXQxZ7LKw0Jb51Td0RaP3/BbrO5oazhJTBaOAVW1MUlpVKz2yJaqvl9VfzDid/8n9HlY2VGXwYQHqz2CsdJjNFZ65FPpYeUbuDqlUOXRvwD21DYevgW0WOVh4TOY05K0KSxHy+qOMvvR7LLAsV9vGlbaqHF1V2SwwiMbIvKcIZtvB3CVqt446fGs7GgCqz1KY6XHaDlXeQD5VHqwysMub+3i4ds8i9UEFto5pwoPD3E6SRPzd7C6w85rTyuF8x8wYvlZS7gUbupOAHAGgOcVt9MBnALgmyLygkkPZrKjSUx6lMakx3C5D20B8pnENMWkRwpL1HprkyUsmO9MMuExHBMe9cp9OIuFmPagzPvU9nvaxOdk6hVZmGCg9uwA8Juq+lxVfS6AR6A3Q8zjAbxu0oM5jKUNHOJSGoe3DMehLRza4lldE7bFwmEt9eOQluFyGtLShtyHs9Rh2slC256o1NNQFku6nTl0ugY+/2snPKVgO3QmtS8IH6Kqg6uv3AjgYap6q4j826QHs7Kjbaz2KKVf6cFqj9Vyr/Tg0Ba/WOXRPlZ4lGehjXOp8OBytMOxuiMf07ZP8pOU1mC3DbH3gKbwDyLydyJyvIgcD+B8AF8XkY0AfjXpwUx2xNJPejDxEYxJj/WY9GDSwysmPNpl/YKXCY/hrLdbXXL5O72bdv6MtocUlX29JoayeD/XERlwMoC/AXAIgEcDOBvAyap6t6o+ZdKDmeywgEmPUpj0WI9Jj3ySHinxXuXhLQllvUPJhMdwsdqN83eUw+qOZnmeqLQO1o/fALCuiUInNrU+ASpFpaoK4BsAvgLg/wH4erEtCJMdljDpUQqTHusx6ZFHwsP7RetanhMegK9OhPWJS7uYM5f0sNC+THjUhwmP6Xir7qDRykxSWvuKLBxWQoFE5A8BfBvAMQD+EMDlInJM6OM5QalFnNC0FE5mul7OE5nmMomphUkU69RPeHidwNRbe3Di0nIstG+sNrPWFpSvNiYqLfNZD71vyOTc0x5j+DkNszn2DrRgx46Z1L74/B8AHquqNwKAiNwfvQqPc0MezMoO61jtEYyVHuvlXOmRw9AWVnnY4q09LFd4APaGtVho2xwqPFjdsR6rO2gaZT9T3U7g553Lz1I7ZvqJjsItKJHDYLLDCyY9gnEFl/WY9Ej7wspbJ3uSFOby8MLDsBZLLLQtEx718JbwoOqYXDEiZCgM5++g9b4oIl8SkReJyIsA/D2AC0IfzGSHN1zFpRQmPVZj0iPtCx4LHbE6eU94eGoPJjzCWWhXJjzq4akTzOqOel43RBOrstTB8nE6mjwvabOiqq8BsAXAQQAOBrBFVV8X+njO2eFZP+HBeT0m4rweq+U+p0fK83n0L7xizy9QF87l0R7L83hYG49uoV0tt1ddPP+NXXTQKTm/xCRLmMd8ifknyI425u2gNTYCuCf2TlAdVPUzAD5T5bGtJztE5OEAPjmw6QAAbwKwO4CXArip2P4GVb2geMypAE4AcB+AV6nql4rtRwF4L4BZAGeo6tuK7fsD+ASAPQF8F8ALVNXOVVLdOKFpMCY9Vss16ZHDJKYpJj2Y8Gie5c4lEx7rxWgva+0wrbITWJbRRMKjLnXEb5UJQ+vQxkSlHlX5bC7OzmPhPuPvy0YAd6O3gktI8qLfLbq7sT0yTXfMJFHVLiJ3Ahi2xKygtyJt0HyzrQ9jUdWfquohqnoIgEMBLAL4XPHrd/d/N5DoeASAYwE8EsBRAE4TkVkRmQXwfgDPAPAIAMcV9wWAtxfPdSCA29BLlOSBQ1yCcHjLarkOb+HQFl88z+XhaViL5Xk8rC1Na6FNY7QVh7PEU+dwltgsv+9Wh7JUVcfnKGj52diXkkP2cVfOA+KSqu6mqpuH3HYLTXQA8efsOALAtar6z2PuczSAT6hqV1V/BmAbgMcVt22qel1RtfEJAEeLiAB4KlaWozkbwLMb+wus4tweQTiZ6WpMeqTJU0c7hNeEB+DjorjPasIDsDWPh4U2ZcJjek11vC1PVmph7g5vrzuNkHPXpDZp67MevCLLJE0kGkY9J5MaNETsZMexAM4Z+PkVInKliJwlInsU2/YFcP3AfbYX20Zt3wvAr1T13jXb88WkRxAmPVYw6ZGmlJIerPJoBxMeYSy0JxMedtWd8LA2Wel0r9/eObfsa8V+b1zg8rNkXLRkh4jMAXgWgE8Xmz4A4KEADgFwA4B39u865OFaYfuwfThRRLaKyFbcdtOwu6SFSY8gTHqsYNIjTZ4625P8//bePdy2qyzzfD9OsvfZ+xwggYAdEjBBQ9mKGiCANiV3MFIWYBsaECRadKdaoatsuqqFlvaCbVcjdnspLTEoAmUpFwuKNIIhrQmWVQkkgRASUBIiLSFpYgjBJPtkH3LO6D/WnGfPNfe8jDnnuHxjjPf3POs566w111zzuvaav/V+30hdeqSA5otMCo91KDyWobmsoo2mcpYUUxau0XD+A7o+ExfDw4o4IOZoLD8A4JPGmK8AQP0vAIjI2wB8qPrvrQAe3XjdmQBuq+53PX4ngFNE5KQq3dGcfg1jzMVYDWUDefx5nUIkS9jQ1Ao2M92DjUyVN++aiYYGi65ItYFpKvugvsjU2LxUU8NMDfuTTUuX4auRZe7NSpe9/7xtnmKjUo1/q6I1KW02HK2bkJLlHBP+uN0gZhnLy9EoYRGR0xvP/RCAG6r7lwB4mYhsVqOsnAPgEwCuBnCOiJxdpUReBuASY4wBcDmAC6rXXwjgg17XJGWY9hiFfT32KDnpkStMecQnpX2gNeWh6dfMlPanS0LtA/bv2IPpDv/EOJd99e1Q8fnNvhokMFFkh4hsA3gegPc3Hv5lERRSV1kAACAASURBVPmMiFwP4FkA/kcAMMbcCOC9AD4L4E8BvMYYc6xKbbwWwKUAPgfgvdW0APDTAF4nIjdj1cPj9wKsVtqwoakVlB4raulRkvhgaUs6pCg8AD0x6DFUfGHugCO17BFrH+UkPEoj9ufPXMGUq2QhhLghShmLMWYHKwnRfOxHB6b/JQC/1PH4hwF8uOPxW7AarYXMoRYeLHHphSUue5RW4sLSljSohYe2uPAY9QWH9n3AshY7Yp5PMcpZQuJ7/VIpZzmCLWxFLMtoMqesJAa+9m0ufz9rdjc3sLm7/lm6ewjY1FJuwtIXYkHs0ViIZpj2GIVJjz2Y9MgHpjzik8r21/oLOxMeK9iwdBmllbPEHopWa7rD9Tns++9S9M+/pbuDpS7EIZQdxA5Kj0HY12MPSo98yEV6sJeHXyg8xqHw8EeqwoPERft+9dW3wwsahp/VsAxEJZQdZBpMe4xC6bGC0iMfUrnoHiNF4QGkkfI4gm1dX74rKDxW5C48UoTpjr73T/vvqPbP677Pgp0DHrc7kxphMViNcuPrlhiUHWQ+lB6DUHqsoPTIB+1f4mxIOeWRAlqFh5YLbwoPP6Sa7shZeISGpSykk4N7dx8SbylIRCg7apoWjEyDaY9BWOKygtIjD3JKeaT2ZTOVba9ReAB6kgYUHn5IVXjkSgrpDu37dMlnhZbPO0JiQ9nRRcJRnehQegxC6UHpkQupXHiPkZrwANL41ZXCYxgKDz+kKDyY7nCHlmFoQ227EOfy7ub+c3fXZVnKwfFJALAUhsyGsmMMio95MO0xCKVHmdIjR3KQHkx5+IF9PIah8PCDxmNuDNfCQwu5pTtyKWWJfo5QXJCAUHZMgeJjHpQevVB6lCU9ck15AGn+CtgmNeEBpLHdo3+x7oDCg8JjLin072C6g8zBa5NSGyhB3HAMwL0eb4lB2TEXSo/pMO3RC/t6UHrkQAppgzGY8vCDVuGhQXrE3H85Cw+faO/1AOgRHimkO6Zguz1cndPaP9tP0B761dfXOduyFxIdETkgIp8SkQ91PLcpIu8RkZtF5OMicpav5aDsWArTHvOg+OiF0mOzGPFB6aGXVKWHZljWMgyFh1vYv4PYolGq2DJ0nGv5bFsET4mU+ecAPtfz3KsBfM0Y860AfhXAm30tBGWHSyg+5kHp0Unp0gMoJ+1B6aGXFIWH9m1O4dFPTOERer/kIDx8kGM5S+h0R0qlLCn8jelqUjoZ1yUqzfmls7uLQUTOBPCPAPxuzyQvAvDO6v4fA3iOiIiPZaHs8AXFx3SY9uiEJS6UHqmj/eJ7DKY83KMx5VG68ADSlANjpNi/wyWuhEfu+GhUqvlzeOl54XREFpIap4nINY3bRR3T/BqA/xnA8Z55nAHgSwBgjHkAwNcBPNzHwp7kY6akRVN4sNbMjlp4HN6NuxzKqIXH1uGdyEsSh1p4bBzM+7iohcf2xpHIS+KO+kvfNtI9dmvhsYGjkZfEjhS2+RFsY0vR8tXCYzPyPt7BdrT9FnKf7GIjyLb2uU472MI23H5W72ITm9D1d27pMXkUm9gIuE6h388nIT8Pdg5sYfuYgu8ehwDcF3shEuU4fDcSvdMYc17fkyLygwDuMMZcKyLP7Jus4zHjYuHaMNkRGqY9psG0Ryelpz2Y9EiXFMosxmDKwy0a0wQaUh6lJDw4Qks3GstZYpFCgmYJS/+mZN+3wwFb+X9l1MTTALxQRL4I4N0Ani0if9Ca5lYAjwYAETkJwEMB3OVjYSg7YsEyl+lQenRC6ZH/MUHpoY/USlu0b2+WtXRD4eGW1ISHS1wIj5i9O0K8X2mlLIT4wBjzBmPMmcaYswC8DMCfG2Ne2ZrsEgAXVvcvqKZhsiNbKD6mwbRHJ5Qe+R8PlB76SEl4APq/eFN47IfCo1w0js4SS3hol0m+0f7ZDWD+8LMs8S8CEXmTiLyw+u/vAXi4iNwM4HUAXu/rfdmzQxvs7zGNpvBgfw8AWBMepfX2aAqPnPt65NrTQ3NviSHYy8Mt7OOxn5j7LLceHiX37ziCLWw5Xj7tTO3dMWUf2v7dspnuKDaC/w2Zci7sbm5gc9fh8kXqyVG2MguPMeYKAFdU93+28fj9AF4SYhmY7NAMEx/TYNpjH0x75H085Jb0yCHlkVLSQ/O2ZllLNzGHpg1F6kPSltC/g+kOfbjs27FzwG47c0QWpRzH+jWk61tiUHakQsIHWXBY5rIPSo+8jwVKD12kJjw0b2sKj/1QeLghNeFB5hO6VwjpwUaOUKAQx1B2pAjFhz0UH2uUPIoLpUd6aL8QH4IpD3dQeOyHwsMN2o6tIZjuqN/X/9+4WI1Kx/5maP6cjgblCBmBsiN1KD7sofRYg9IjXyg99JCS9NC8nbWVtexiI7r0oPBwg6/1YTkLCc2cY1nT56pTNkERQgBQduQFpYcdTHusUWrao5YeOYuPHKVHqqQiPADd21nbF3MKD/9QeKyjcYSWuYRMd/gchjYFXJxHu5sW82iPyOKCetfZlsFQcpAGHI0lRziiiz0czWWNWniUOopLriO45DR6i/aRRIZIadQWzdu5vjDVMmJLiBFEhoi1r3IbpcUXPkZocYWL0VlSHknLFSFHZQm1vXcObGH7mIPjdhNwNJjQOIcB3NvxeKSRX6JxHN3boVCY7MgdlrnYw7THCUpPe+RKTkkPzSUXY6RW2qIVTSmP2AkPIM6+yinhkVLD0pzKWZjuSJsoI7Lwh1wyAcqOkqD4sINlLmtQeuQHpYcOUhIeWrexNuERW3pQeCxD0/E0Rk7lLHPRJCO0fEamdAyPlpuwHIU4gLKjVCg+7KD4OEHJ0iNX8UHpER+mPJajsXlpTCg8llFi/45U0x3a36sLF+fn3Hn0nTtBPz/7BAbTGsQTlB2E4sMWSg8ALHHJEUqP+KQiPTRvXwqPPSg8lpGS8HCFC+GxBK1D0cbYZyn8LSAkFdiglKzD5qbjsKnpCUpsaJpzM1M2Mo1PKk1MtW5fTc1L6wvyWI01YzSOzKlpqa91cd2wdBeb2AzWAXKYVJqVHsUmNjxss1TW35auJqW7mxvY3FXy96m0xqO2HAMblDZgsoP0w8THOCxzAVBm2oNJjzTQnEQYIpVf9rRuW6Y8VsQ4/pnwGEdrw9JUy1lSS3f4Piejf/4tHX6WvTqIQyg7iB0UH+NQegAor7dHzn09cpMeqcHSlmVo6uVRWllLyG1P4bFCk/BIAV+9O1yda2Of/Zr6doyOyBLi61F+X8GIIyg7yHQoPoZh2gMA0x45kYv00HpRPkZK0kMjmoRH7JRHaCg8yoTpDqKGhoh5MMvzi4Syo4b1TfOg+BiG4gNAuWmP3KilR+rig9LDH1q3raaLVQoPP6QoPJjuiEvMkVk0fk4SkiOUHW3ubd2IPRQfw1B8FJf2yFV6AHmkPbRemI+hXXgAOr/Is6xlBYWHLnIVHjmmO2zRUMri6pzbObB/m+5uOjzPbPtz5PlVyg8G69dkrm+JQdkxBsXHPBI+KYJA8VGk9MhRfFB6xIEpj/loEh6xLs5zblzqc5uW1r9jKTGEh8/3Sa1RaR/RpSAbkJKAUHZMgamPeVB8DEPpUaT4yA1KjzhQesyDKY8VFB7TSUV4uCDFchYt21HbZ54NTo/tOSOy2PTUoCghE6HsWALFx3QoPvph2qMo8UHpoReNF+djpCI9tEHhQeExhxSER8nlLD7fJ7RM0VDKYsPoiCxzodwgC6HscAXFx3QoPvqh+ChOeuQmPig94pCC8NC2TbWkPGKXtYSEwiMMOQiPee+Xzt8ebZ+HXXT17ZiM6684HFmFWELZ4QOWu0wn8eY3XilcfDDtkTaUHuFhymMeWi5eKTzckprwyLV/x1xSTndo/JyrWXpeOG1SuhSmP8gAJ8VegCJoCo85NWwl0hQetLd7NIXH4d14yxGJWnhsHd6JvCR+qYXHxsF89nEtPLY3jkRekvnUX1y3kcbxVwuPDRyNvCTdaNye9cXrVuRl2sUGNiPst9D7JNT29rk9j2Db+fLvYAvb0PVZeQRb2FqwTDvYnn1cHcUmNjDt76HGbTiXo9gI9jnu43iexSEA97mb3cmHgCP5fKUa5hj4Y3sDJjtCw8THdJj46IZpj+zTHjmWuNRJj5TTHkx6uEXj9tSQ8mBZi1tKTniUWs4ylVjpjqXbRUvfDkI0QtkRE5a7TIfiYz8sc8leegAscdGIxov0ITQLD0DfhZCmXh4xoPCYRinCIxZzyllS6t0xhvbPb6CjSaltmp1lKMQjlB2aoPiYBsXHfgoWH0x7pAulRziY8pgOhUc4KDz2o014pJbumLr9QvUIaRPjc2/KueCkSWmTSILjIXHelkSEskMrTH1Mg+JjPxQfxYiPXKD0CAelxzQ0pDxilbWE3hcUHvuh8FgRS0T0oalRqctSFtvpVTUpJaQHNihNBTY5tYfNTfdTcGPTEpqa5tbQNPVmphobb/aRQhNTTdtRQ/O+mM1LQzYuZdNS3SxtWDqXEM1K57xHCEI2KvXCJjC6WQ+CP1wu5Tj4Q3kDJjtShKkPezik7X4KTXyUkPbIrcSFSY9waE56aNuOWlIeMWDCwx7Xy68t3bEUTef0EjQ1Ki2SoXKY+Ic5UQBlRw5QfNhD8bEOxUfsRfFGjtIjVfGh7WJ9CEoPezQIj9zLWkKIJQqP+aRUzpJK744lzNmescTpJGqhYbtLDoFNT8kJKDtyg6kPeyg+1ilcfOQK0x560HaxPoRW4QHo+vWTKY8wUHjskZvwyIGQvTvmfja76Nth06R09ogsLtjseT+WtBcNZUfuUHzYQfGxToHig2mPtKD08A9THvZoEB6xUh6hoPDYQ5vwWALTHeto+lyzIUqTUqY2yASiyQ4R+aKIfEZErhORa6rHHiYil4nITdW/p1aPi4j8hojcLCLXi8gTG/O5sJr+JhG5sPH4k6r531y9VsKvpTKY+rCD4mOdwqQHkL/4oPTQgbYL9j4oPewoNeVB4WGHZuGxlJTKWXyhZX9o+Ty0YkxaUGrM4zj29yx0eUuM2MmOZxljzjXGnFf9//UA/swYcw6AP6v+DwA/AOCc6nYRgN8GVnIEwM8BeCqApwD4uVqQVNNc1Hjd+f5XJzEoPsZJ/AR3SoFpDyDvMpecSlxS7uuh6YJ9CO3SQwuxpUcJfTx84jMlo1V4lFTOEjvd4aJRqetSlqCfGX2bk2KDeCK27GjzIgDvrO6/E8CLG4+/y6y4CsApInI6gO8HcJkx5i5jzNcAXAbg/Oq5hxhjrjTGGADvasyLdMHUhx0UHysKFB9Me6QDpYdftEoPbdsvtvDIOeWR8kgtFB7daC5niT3fWMzt2xEM9uIgFsSUHQbAR0XkWhG5qHrsm4wxtwNA9e8jq8fPAPClxmtvrR4bevzWjseJLZQf41B8rKD4yIoc0x6poe2ivQ9Kj3FKTXmEIOWRWnIWHkvQct62iZHu0Dz/MfY1KZ0KJQZxSEzZ8TRjzBOxKlF5jYg8fWDarn4bZsbj6zMVuUhErhGRa3D339ksc7lQfAxD8bGC4iMrKD3ioumifQhKj3FiC4/Q0iO3shYf5Co8YpSz5JjuSKmUZbRJaYgRWVgGQ3o4KdYbG2Nuq/69Q0Q+gFXPja+IyOnGmNurUpQ7qslvBfDoxsvPBHBb9fgzW49fUT1+Zsf07WW4GMDFACDfdt4+GUJ6aAuPkMNKpUBbeJRqqJvC4/BuvOUISC08tg7vRF4StzSFx8bBdPdlU3hsbxyJuCTTqL/0bkP3cVV/+d7A0chLss4OtlVsu/oiYyvSsuxiA5uB902obX8E2163q69t53u5Y3EEW9jCvM/YucfMUWxiA/7+Prmev5bPpew5BOC+1d2tTeCeEn6UPA7gntgLoYcoyQ4ROSQiD67vA3g+gBsAXAKgHlHlQgAfrO5fAuBV1ags3wPg61WZy6UAni8ip1aNSZ8P4NLquXtE5HuqUVhe1ZhXN8fB9MJcuN2GYeqjuMQH0x76STHtoSmpMARTHsOUmPIIARMeetIdQJz+HdPfJ+10h6/XNok9whQhS4mV7PgmAB+oRoM9CcAfGmP+VESuBvBeEXk1gL8F8JJq+g8DeAGAmwHsAPhxADDG3CUivwjg6mq6Nxlj7qru/wSAdwDYAvCR6mYP0wvz4HYbpik8mPgoIvHRFB45JT5yS3sw6eEWzSkPIP62Ky3lEWq7M+GxutDenpmqaLKLTWx6TEr4ILV0x1KOYiPKZ+zOgS1sH3P0N7ORvHAyHSEtosgOY8wtAL674/GvAnhOx+MGwGt65vV2AG/vePwaAI9fvLA1vIifB7dbPyx32Z/0yFx+5C4+cpAeQDriQ8uF+xCUHsPElB51UiG09AghPAB/25TCw54Uyllcbas5xCpl6TvWgknQTaBzF9kIjb7XEtKDtqFn04GjlcyD26wflrsUVe6SY5lLLiO5pFbiUpdoaCnT6EJzE1MNxC5tCUkOZS0sabEnt3IW22aoGhqVhvx8azcpXTwiSw0bj5KFRGtQmh1MMEyH26wflrsUU+6Se9oDSDfxwRIX92hMemjZZiWlPHIoa2HCw57QCQ9t5SZDpNCo1MkxeRhuf+hspkBY4rLOcXB7NGCywxdMfkyH26yb+8HURyGJj1wbm6ae9qiTHimmPbSiMemhZZsx5eEW3wkPH9uMCY/lTB2ONuV0xxyWHmM7B9L5e0jCIiIHReQTIvJpEblRRH6hY5rXichnReR6EfkzEflmX8tD2REKXshPh9usG4oPio9EyaHMhdLDLZQe3RzBdjTpkavwSK2sRaPwiEXs89E3S9fPZSlL6PO/F9epZpbDhGQXwLONMd8N4FwA51ejqTb5FIDzjDHfBeCPAfyyr4Wh7IgFL+Snw+21n9JTHxQfyULpERYNF/BDaJUesYklPUIPURvq+KTwWEZq/TtySnekQLtvhzUUEVlhVtRXaydXN9Oa5nJjTF0bdRWAM30tD2WHFig/psHt1Q3FB8VHYqSe9kitxIXSYxpathdTHu6g8FgGy1n8MHbsxy5lmXMcDjYpjfQn/8Gl9sELjIgcEJHrANwB4DJjzMcHJn81gI/4WhY2KNUKm3dOg9trPyUPbVtYc9NcGpum3tQ0pYamWppy9qGtkamG7RWrgWmM5qVsXLqOtqalsRqWamvmadsINcTwtkex0ft5OXW72R7DOwe2sH1M/9+74jgO3z96niYi1zT+f7Ex5uLmBMaYYwDOFZFTAHxARB5vjLmhPSMReSWA8wA8w9fCUnakQld6gRf0/VB+7KfUEV4KEB85juhSi4+UpQegX3w0fy3UdBFRQ+mxnxKkR4jt7HM7UniME1J4TB2dZcr2CTnyizbZMxmbEVmmjqxyEGWmmeNypzHmPJsJjTF3i8gVAM4HsCY7ROS5AH4GwDOMMd5OIpaxpAxLOezhtlqn1F4fzVKXTMtdWOaiC5a4uIHlLfspobQl5bIWlrT4I0T/DtfYbG+fjUr7iDn602Sm9PY4NHF64gwReUSV6ICIbAF4LoC/ak3zBAC/A+CFxpg7fC4PZUdO8ILeHm6ndUoUHwDFR2KkLD4oPdxA6bFOCQ1MQ2xjn8LD9XbKSXiE7t8xBR/NSl0w91xwMSqLzbHXblI62LfDFtt5HMKqF0g7zU3pEZrTAVwuItcDuBqrnh0fEpE3icgLq2negtWeep+IXCcil/haGJax5AxLOezgdlqn1F4fmZe75FbqkmqZS4olLhpj0xrLW0otbcmll0dKfTxyKmnJpZzF1fxif5ZMJUrfjk0gUOUQmYEx5noAT+h4/Gcb958bankoO0qCfT/soPxYp8ReHxQfyZByU9NUGppq7uuhSXpokEM+L9j7CN3Lg308VmgTHkvQLDxiz3f6cvQ3Ku0jxucGgHVp0dWrg/045nEMwD2xF0IPLGMpHZa+jMNttEeJvT4y7/ORU6lLqmUuKQ1fG7tsow9N5S2xt1HM0pYQpF7W4hJNJS2xhqT1fSy4HorWRe+OUKUsXij9B0QSHMoOsg4v7MfhNtqjNPEBUHwkQorSA0int0fsC/o+KD32iCE9Qvfy8AmFx3RiNSydiq8eG7bzdS1QfDG3b8dipvToIGQEyg4yTPvCvvSL+y64fVaUnvrIjFzEB9Mefol9Qd8HpccesaRHCHxvW1/bjsKjm5DpjinCI0az0iXpjtCjsuwcWN8+XpqUjkHxQXqg7CDT4cX9MNw+Kyg+soHiIy4pSQ9t4oPSYw+mPObjS3i43D4UHvmVs/hA22e0dxqH4skUIkVC2VFzHGX+Mu0CXtwPw+1T3rmVcZ8Pio94MO0xH0qPFbmnPHySQlmLy/1bgvCIXc4yRuh0RxfRSlkIcQRHYxmi66KslNEolsBRX4bhaC/lDW+b6eguuYzqkuIwtimM5KJhdJI2zQuA2CO4xNw+oYeqDTVii+9t6mu7aR2pZekoLTGGpJ3KlFFUYgxF64Pow9sext53YdthZLtGayHdHAe3VQMmO6ZS2i/UrmC6oR9um7LOKSY+1MK0hx9Y4jJMSUmPUKUtKaY8tPbxSC3hoaWcJVS6wyU++3ZY0VVm0v4xjKUoZCKUHUtpy48SLtZcwMan/ZS+XUo6nzItd6H4iIN26QGwxGWI2NIjJKGEh+/mpa6h8HCDlnIWG5Zu21ilLJPn4VpSpPOnmUSGssMHFCDzKP0iv4/St0tJ5xLFh0pSEx8ppT00oUl6xIApj+n42GZaG5fGEh4a+3fkkO7om6ft8eL9s2KKHMm9FJosgj07QsH+H9Nhb4tuSt8upfT7aAuPDHp95NDjoyk8Uujx0RQeGvt7NL9wa+ntUQuPmD092M/DLSF6eWju45F6D49Q/TumYLstbHqCLN2uQz04jmIjen8iFRwE+1gUCmVHTChApsHGp91QfuyR8/mTWZPTdtIjRfmRWmNT7U1NtTU0pfQILz1CNDCl8FhGSsJj6v6e0qw0NNGbilqwc2AL28f29tHu5gY2dy2OX9smpcSO4ygzCd4Dy1i0wRKYabD3x35K3h6lnDssd1EFy1zcoq3ERUN5Syn9PEKUtvjclr7KWlyhpaRlLiEalsYqZ4nRu2NKKYvzIWgj/TC3lcafaeIQJjtSgAmQaZSedGhTciKmhJIXlruoItUyF41pD20lLhqGrY2V9Mi1tCWVlIfL7eFqXy5JeIQekjaXhEcK6Y4hdg8Bm2OlJFOHmOWQtGQEJjtShQkQe5j+2E+p26OEcyaz1AcTH2Fg2mMasdMesbZHjCamPvGd8nCNtpTHkjRCLkPSppLucPmaaNg2Ld3E6kc9DlNLQNmRFxQg9pR6sd9Hqdsj9/Mls6FtKT7CoFl81BenWr6gU3r4J1Rpiw9KKGuJJTx8o7WcZe6xOvVzyraUpc3OgfXl3910cLy2U7l9EuNQz3OUHkXDMpbcYQmMHSWXenRRailQ7mUvGTU5ZalLGFIoc9EQ647dzLSE8hbfpS0+t6H2spYUS1pKLmcZInSpi4/GvCdgico8jgPKBi+KCmVHiVCA2EEBsgflR37nSEa9PlIe2SUV8aF5CFuN0gOIIz5i9TkJLT1SHKbWxzZytS0oPPqxFR4hh6KdKzT6hqENKUjW+nYcxt73S47IQjxB2UFW9EX4c7vAW0qpF/1tShRBJaU+gGzkB8WHe7SKD60NTUtKe4SSHik3MPWR8qDw8Cs87Oe7bFhebXQdEyGGiLaGgoRYwJ4dZBj2ARmGzU/3KG075H5eZNLrI9U+H6n0+NDe20MDJfb1yKWfh69t57qXh6tt4GK5YvTw8N2w1HX/Dt+9O1wOQ2tD+5hZ3LdjTo+N3H6AIs5gsqPmeOwFSAiWwQxTYuqhi9JSMDknPzJJfaRa7pJC4oNpj3FKS3rkVtqiPeWhqY9HKgmPKbju35FiP5AkOYS99Ad7gBQJZUeTvl+jc79IcwEFyDAUIOVtg1LkR6LiA0iz3IXiYz5aento6euRm/RItYFprmUtKQiP2P07ls5naPldCTrvpSzNvh1DHESeKVofHAelTgPKDhsoQebBPiDDlHbx30VJ6Y9c5UeGqQ+KD3doFB9Me6yg9JiHj5SH621D4eFPeNjPd3zdY6U7QjQq3Tmwhe1j3eu/1qS0iU0PDqYzyEQoO5ZACTIPpkD6Keniv4uSBBDlh1pSLHeh+JiHFvFB6eEen9IjhZSHq/V3ITwAzJIeGoVH6HIWDekOG8aOk93NDWzuzjgW++QGpQexhLLDB5Qg06EA6aaki/8+ShFAlB9qSS31kZL40CI9AB1lLjFLXHKWHimVtmhMebhYprkpj5SFR6hyljlMSXdEGZVlisyg+CADUHaEhBeu02AZTDelH0elrH+uAjDxfh8UH25h2qOfWGmPHKVHqqUtmoQHEK+sJXfhsTQtoiXdoZpDYM+PQqHsiA1TINPJ9SJwCaUIgD6Y/kiTxFMfqZW7UHxMR1PaI5b0AMKsf+rSQ3vKQ1NZSy7CwyVLy1nmvWd3uqMLm/3ensa6b4dtk1IHnHwIwNfDvFc0joNipwFlh1YoQabBFMh+ShYgpaw75YcqUkp9NMUHoE9+aBMfGtIepZS4UHrsR1vKI3fhYUvocpbh93CX7rCdfuqxZNW3w6ZJKSEToOxIjSHzmePF3FKYAlmnFAnQRQnpD8oPNTD14Q6Kj/3ETntQeozjOiGgLeWxdHlCC48paC1nWdKstP897dMd0ekafrZPjtR/0tjLo3geFHsBiEPu7bmRde7vuZVKqcdMCeud2zF+7+beLTGO3Lt94qado/dvnrhpY+fo1ombBnawvSY/QnMUGyduIQm53kewfeLC2he72DghAFziYzu53BYu1nnJ8tQjtUxlF5vYxbTPpyMT32vKfjtquSw26zs2r7nbbOpx2DW9zb5uT7NzwMFn9aGR/9ccrJ5rP6/vTxkJCJMdJcCSGDuYAtmj1ARI7uudU/KDqY8gZmLnSQAAIABJREFUMPFhR6lpjxyTHimUtrhOecQsawk5NK2GhqW+Cd1zZMnxs9a3owuOskIcQNlRMpQg47AXyB6lHi85l7/kJPgykR8UH/Og+NgjRm+PkOvsW3qkVtrCspa0hEeIcpb+13Wvi+tGpUP09u0I2KQ0e44BuCf2QuiBsoPsp9SL2ilQguyRexqiTe7rm0v6I1H5kUrqQ3ODU43ig2kP96QqPZjy6CcH4WE3P7/Cw9Xyzp3PYgln26SUyQ9iAWVHzbHYC5AAlCDj5PRL+RJyFwJtcl5fyo+opCg/KD46lqPgtAelRzdapYerlEepwkPTCC3d77s83dFmTJINDUHrjD7x0Xz8YM80JGsoO5pwpJN5cLsNwxTIipyFQBe5rm8uQi8D+UHxMQ2KjxWh0x6UHsP4kB4aUh4UHss/+7SmO5wOhTzWt6OGKQ4yE8oOW3hBPw+mQfqhBCnv+Mi1/0cO6Y8E5UcKqQ+t5S4UH+HTHqHWNWXpkVvKY8lyzG1cmpLwcFHOMjz/7mUNke4YEiKT+na0JUfX8LOEDEDZ4QKKkOlwm/VDCZJvKqJNruuZQ/qD8sMLGlMf2sQH0x5uaA6B6UN8+JAeTHnsZ07KIzfh4eP1U+Sai3SH81KWpgSx7fFBiuRBod9QRB4tIpeLyOdE5EYR+efV4z8vIl8Wkeuq2wsar3mDiNwsIn8tIt/fePz86rGbReT1jcfPFpGPi8hNIvIeEQk7AH2TewdupBtur27u77mVQinHRK7rmfpxe+/m+i0Bjty7feKmkaP3b564aWHn6NaJW7RlwPaJW2iOYuPELQSh1vMIttfkh0t2sXFCfLjC5XZxte5L13PJctQpjynsYtrnypEZ72HDUYvlGFu/sXkMvX7qcRTq3B/F9Z+FQ47np50HPN4SI0ay4wEA/5Mx5pMi8mAA14rIZdVzv2qM+ZXmxCLy7QBeBuA7ADwKwP8jIo+rnv4tAM8DcCuAq0XkEmPMZwG8uZrXu0XkrQBeDeC3va/ZVJhumAa3VzclJ0FKKYPJMQGSevojseSH9tSHxnIXDYkPDWUuLHGxQ3vSw2VpS4yUh7aER+gRWlz1AVl/z2XpjjZzS1ms+3a4oDTpQcLLDmPM7QBur+7fIyKfA3DGwEteBODdxphdAH8jIjcDeEr13M3GmFsAQETeDeBF1fyeDeBHqmneCeDnoVF2DMEL+2mUctE7BUqQdXI7FnJcx5R7f3SlPRQLkJTkB8VHtQyRxEes3h6UHnu47uehoZdHqD4edcLDVnrUCQ8b6aGpYanLZqW2vTu8lLJ09e0gZAFRe3aIyFkAngDg4wCeBuC1IvIqANdglf74GlYi5KrGy27Fnhz5UuvxpwJ4OIC7jTEPdEyfBxQh9nBb7adUCVKCEMtNgDD9EQzN8kNb6oPiY4Vv8RFiHVOSHrmlPJY2L9WS8ki9f4frhIoX6v4cXSOy9D1WQ3FSPMF7dtSIyGEA/x7ATxlj/h6r5MW3ADgXq+TH/1lP2vFyM+PxrmW4SESuEZFrcO/fTVwDpQz1COEJvw630zql9gTJff/ntn4pH58J9f1o9vvQ1vNDU6+PZo+PWH0+YvX4yKm3R91PwkdfD9c9PbT183DRy2MOmvp42O6PEP07+ue7vHdH1zza+699LHjpldP3o8ehnudYulI0UZIdInIyVqLj3xlj3g8AxpivNJ5/G4APVf+9FcCjGy8/E8Bt1f2ux+8EcIqInFSlO5rTr2GMuRjAxQAg33xepxDJDiYd7CghBWBLiUmQ3Pd/TuuXcvoj0eQHUx/9xE59xEh8MO1hh/akR+yUBxMezXnN798xp5wlZLqjWcoy2reDo6wQB8QYjUUA/B6Azxlj/q/G46c3JvshADdU9y8B8DIR2RSRswGcA+ATAK4GcE418soGVk1MLzHGGACXA7igev2FAD7oc52ygamQcbh99igxCZL7vs9l3VI9LtvJD6XpD6Y+7Cgx8RFyNJdQaQ/XaE16xE55zH3/HWxNTnnkkPDw9domtumONouPb9sfXpjYUEnfyKs90z5ZRI6JyAV90ywlRrLjaQB+FMBnROS66rH/BcDLReRcrEpOvgjgnwKAMeZGEXkvgM9iNZLLa4wxxwBARF4L4FIABwC83RhzYzW/nwbwbhH53wB8Ciu5MkwZuY5lMBUyDLfPiqELy1R+cZ9Kbr0ymuSybqkmQBJIf2jt96Ep9VFy4iP1tEdpSQ8X65tCymNO41JNTUvnvt5HumNsn7lIDo3SlwI5jL2eHoeQzo8fadM58mo1YuoJROQAViOoXupzYWQVhCDymPMM/sU14xOm8OVYIyleHIWC26as8yrX/Z3DeqV4HCqUH220yI82sUteamI1OQXCD2cbYjQXwP96+bhwczl6C+BuGyxd1yXrNee95zT4nFLWYjs0re32HxMWY+sz9Pqh1/YtX9fjXedte7r2vmrv9/bzzVFZ6lKWtTKW+oeW5urdhz1xcX/HY7vV/fsbj+8C+AqAu6r/fxWQm3CtMea8fSuVCSLnmdVYH97eYdL2E5EPAvhNY8xlrcd/CsA3ADwZwIeMMX/sdjlXRB2NJUnGjGCKX5ZDMBaHz+FCaS5MhJTVFySnfhlNclivFNMfCQx5m0Lyo9TUR+jER6j+HimmPTQnPZamPIB56zXnvecOT6s14eGrf4dr2vuqne6x2ZdWfTvq0VcOgimNeJwmIk2bcnHVB3MfrZFXm4+fgVXbimdjJTu8QdnhGpsTT/uX5xjwgr+b0rdLSSUxOciCLlIvg8lBgFB+jKKl5KXd3yOk/MhdfFB6zF/GmKUtc997TllLScJjSjnLUWzsO0e9NzU9DPu+YV3Dz7bZtJgmG44B+Hufb3CnTbKjY+TVJr8G4KeNMcdW7Tz9QdkRA6ZDpsFUSDcUId3kdv7kKEEoQMKiPP3R1eQ0tgDRKD8oPpbhc52ajTVdiY9mk0cX4kOD9IiR8khFeIzPx31KY8qydQmPNmPpjrX37hmVxTua/1ZnRNfIqy3Ow6q/JgCcBuAFIvKAMeY/uF4Wyg6NMB0yDcqQ/ZS8TUpJg+QmQVJfn9QFiCL5AehLf2iQHxQf7ig57aFFeoRKeUwta5nSuLQepWVMethIhaVD0rosZ7GVIFNFzuxSliFsUh0kKH0jrzYxxpzdmP4dWPXscC46AMqOdKEQsafkC/8+Sk2FlCBCUpcGbVJOgaQkQBJLf5QuP2KVu7SHnfQtP3yP6BIi7UHp0U1pKQ+twmNpOUubKekOa+q+HWNio2tEX5vXEdf0jbz6GAAwxrw15MJQduQMhYgdlCHrUISsk8s5kpMESXldKECcoFl+MPXhnpTLXHyWuGiSHqFLW0KlPFwLj9X79y9zjCFpl5TaLHrtWClLX98OygvVGGP+EoB1Iw5jzI/5WxrKDkIhMg5lyB4lbovc0yApi4M2qa5LSqJNafmLpr4fTH3kIz60pz00SY9Y/Tx8pzymlrW46OPhq2Gpi3KWOekO2+dqrEtZOCJLD94blCYFZUfNsdgLoBgKkWFsukVrv9hyRWmpkJxFSE77MtVSmBRSIEx/jFKi/MhFfKSS9nDZzFSD9AiV8vBR1qJFeEx9nc90h5NSljH60h6b2PsOwERIkVB2NLEd4iiFL8mhoRAZpsRERJvStkGJIiSlfZjqOlCAzIbyY0XokpdQfT5SFx/a0h4xpUeo0hZfZS0ahIer/h1z0x1DNNMd1qOy1H07CJkIZcccKEXmQSHSD9MhZcmQXEVIqgKhSYrrQAEyCy2lLzHlR66pjxTFh6+0R6nSw1fKY4rwAJaP1OJLeEzBRni0p3HWqLTdt6NOZzRTGkxskAEoO3xiK0UA3V+kQ2Jbe6fti3wISpIBXeRUVjFEjiIkh32XmgRJoQ9IAgKE8sOv/AgtPgD38kO7+HBV4pKa9PCZ8nDdxyOG8IhRzjKFyUPQjnEITIYUCmWHFpgWmQZTIvspOR1SiggqSYSkss9SW37tKRBlAkRD+qMtP4BwAiSk/Mih3MVHY1OXZS4u0h6xpUeqKY/UhceccpahdMesUhYXHPI3az0YYEY/l1yh7EgNShF7mBLZT6lCpAQZMna8p3acp54GSUmCaE+BKBcgJaU/Qvb7SLncpYS0x9J1nCs9Uk155Co8xl63ZFjiE9SlLF19O5ojsnSJjPuq17PMpVgoO3KFJTT2UIqsU4IYaFPCOueUCklZhKQuQbQcK4oEiMb0Rwj5kVvqo3TxESvtoV16uEx52PTxGNuWRyu5MrX5aP1aF0PSrs9zWrNSm3THiWn7SlnYo4NMgLKDUIzYwtKZFSWmQ3Jf55xSIamKkFQkiOYUCAXICUqSHxQfbspcKD26mZry0FDWskRejC3DnGalU7EuZWGTUmIBZUfNcaTzZTMmFCPDMCWyosRyq5zTIbmkQlIUIakss1YJQgECIE7fj1Dyw3fqw1eDU9fiw1Xaw2WJSwrSw3Vpi5aylj7hEaqcpcnQdrbeB+1RWWxpNibdBIVIgVB22DD15NL0BTQmFCP92EoRIP7Fgk9yT0w0yVWG5JIKSUUqNElB0GuUIF0CBIgiQWL2/wid/shRfpQiPmL09QglPXyVtrgsa4ktPGyYMhRtX6NZq1KWum9HM8nR7NtBABwDcE/shVADZYcPKEemQzHST+lpkVKESK7rmYMMSU2EpLC8qUiQwAKkpPRHDvLDR+pDo/iImfbQKD1CpzxiCw8X6Y6pOB+VhWUuxULZoYE5sSwtX1hjQJnUTclSpJSymRyFSOoyJAWx0ER7GkSbBFGQAtEkQHKTH9pTH65FjYv+HkvFx1LpAUxbft/Sw2XKY2nj0tjCY266Y6xR6SBTJUYRQ8+SJpQdqcILfnuYGlmn5BKaHGVBm9zKZVKWISmJEO3LmoIEKUCAhEx/tOUH4F6AhEp9aCt30VDmErrEZY70CJ3yWFrWkoLwmMOJUpahIWiB/qFnNzHvh2WSBZQdpcD0iB2USOuUKEZyT4nkJnxSlSEpSSnNIkSTBImcAtEiQFJOf/iSH5rLXTSUuYQscZkiPXyVtvgsa4khPKYwJd0xWsrC0hRiAWVHzXGsf2nS+gU5JBQk41CO7FFaGU3OUiQnIZKjDNG07bUup3YJElGAAH4lSMz0R6nyIxfxMXc9UpMeLlIeQ4LoaDX/KU1IlwiPEOmOUfqalLaHp40zGFdgjgH4+9gLoQbKjj7mdvXV+sU5FHNjYpq+vPuEcmT6uZX6OZWrFMllvVKUIamkQjSKEC3DKBeWAgklQHyXvoSQHy7FBzB/GbWIjznSA7BfZp/Sw1Vpi+uUx1ThYcMU4WGT7qip0x2DpSxMeJABKDtcs2ToI41fqkPBFEk33C7llNLk2lsm9ZSIzfGn7bhLQYakJEIKkSClCBDt8kNj6uNIaz3nyI+5/T1CpT18SA9XpS02KQ+fwsNV/44+uoaindyodIzDoBApFMoOTVCUTIMpkm5KTo9QjKyTyr5NfX1SEyLaZYg2EaIhDRJJgoQugwkhQHymP7TLDw2pj9BlLqlIj6Upj7Gylj7h0bVcS4THEH3pjiZW6Y4mXamOZqPS9ud3z0cpyRfKjlxYIkoAXV/EfUNJsk6p6ZESymlyS4uknBJJSYholiGpiBBKEGfEECC+5AewXID4kh+pio+p0gOwW84pyxZSesxNeUzt4zFXeLgoZzkxbV+6oy5laVN/7nbJjyJ6dZAuKDtqjsdegMhQloxDSbJHiYIkdzmSerqiJuX1SEWIaJUhmpYrdhqkT4IAXkVIqFIY3wIkpfSHK/nhYrliiA9NaQ/X0mNJysNFWYsv4TGG7bC/Vn07DmK9QSlLWYqDsqPJPQ7m8WAH80gRypJ+loztrfGCbC6lCZJc5UguZVKpSpEUhIgm6dBESypEqwjxJEFCpUC6BAjgToL4EiApyI+l4gOYN1IK4Fd8zE17hJIeS1Iec8taQgiPOemO3kalACXGPo7DzUVtHlB2uMbVsVWaNKEs6aZ0UVJSmoZyROd+S3H5tQsRjeVIWgRNTBFSkATRLEBcl764kB8xUx8axYdG6eGqrKVPeLSnnSM8+qbtSnJYpzts2cTqc/7Q2IQkNyg7tOJSyJUgTpbKEiCdi0dbShYlJUiSOce89mM8RbHQJKW0iO3xE+uY0SZENMiQWMMkBy6JCSFBfKZAQgiQ1OWHC/EB2MuPuf09bKXH2LLYru8S6eEy5WHbuHSq8LApZ5mU7gD2l7K0uQ9MfhQOZUcJMG1iB4XJHktECaDjYm4OuUuSnARJyuU0KUkdzVJEkxDRLkMyECGxJIhGAeIy/RFbfoQsd0kl7eFTergua+la1uGeIfblLKPpDpayEAsoO2qOY/5JUkokimmTcShMVpQmS3JO0eQiSFKVI6mIEa1SRIsQib0cMVIhgURInwQB3IgQXykQrQKkLT+A6QIkhvzQIj6mpj2WSo+p/Tz6Uh5Ty1rGpmuKjDn9O/bWY/VYO91hzSHsff4dBoVIgVB2uMDHiZO7QHHdNycneeJCmAA6LzhtKUmW5JgmmXsMazpmU2yom4IY0ShFYouImpjpkNCpkMgiRKsE6RIgwHwJ4kuAxJIfc8QHMC4/pi7fVPGxtMRlSHrM7ecxJD1sylp8CY+99dpfzrL2fF8pSx/18LO5X18BWP2C734UrFSh7NCKL/OY60lOebKfkqXJUlkCxL9wHSNHIZS6JEkpPaJ9WaccC0FGMLGczud2iiVlQqdCAogQn2mQUBIkpgBZmv6YKz80pj5sEhqu0h5zpcfU0hbblIdN49Ih4dHFUDlLZ7qjXcrSZhfrw8+S4qDsqDmO1R90LV+afeHzZM9JpPgYsSlVgeJKmgBpnV+5C5OcSm9SlSQppUc0yxFNaZHYUiSGEAk5+s+QCAGcyBBfIsS1BHGZAvEhQLTKjyWpj6Hlclnm4kJ6rOa/fmzNKW2ZU9ZiKzymlLN0YZXu2MTetU89IgspCsqONi4v7IaI/SXbBxQpw1CglCdOXP1R1SYXckmVLDkeNY9S0oW2oVzbxG7g2YXPfRxTimgUIiFkiFIR0idBgHkixJUEWSpAlqQ/5r73UvmhTXyMzaeWHqvlsU97TJEefemN9nv6Eh6T0x19sIFpsVB2xIJSZRq+P6BSlSk+BAqQhkRxfQ5pPldykyY5pGZSEyXaJYnGlIuGUppYUiT0+4ZIh3hOhYQUIbEkSJeEAOwliEsB4kN+TEl92C6P7TK4Eh+hpcdQWUt7maYKj73l7xYeQEe6o0099GyzSSkpCsqOmmNYXTimcJE3hVBSBdB9sThGCNubklApUaL4OFe0nRM5SZOUhUlKokSzJNGUHomdGonVnDakFPEtRMZkCDBbiLgWIS7TILElSJcAAcYlyJz0R1s8APbJC8BefixNfdiKj6lpjznSY6y0ZWrKY4rwGCtnsUp31I1J2/ezpr6oJQBlx35iHhuaLwRtCClWAH0XkmNQqPg/v7SdQ7kKFNc1r6n0oehDY3+KITT1rugiZj+LLmI0/Wzjcp/FECOhpEhsITJDhgyJEGC6DHElQvokCGAvQpaUwsxJgbgQIC7kx5zUxxzxMTftMUV6zC1t6Up5NIVHPc/m/SHhYZ3u6KNuUmrhNEleUHZoIraE03ahOEZouQLouNAcImQ9okaxUoJM8XXcxzy2U5cnqUmTpceQ72NFmyjRIEnm7DMX+yl0eiaEiPHZ0NZDOsSlDPEtQmwkiOsUiGsBMiX94VJ+2EiXueKjL+3R18x0qfToS3nYlLVMER5AR7qjTS042K+jWCg7ao7D/Ymg8WJwiNiyBdBxMTlEDMEC6JQsof9waDifQpwjsc4Bn8d2KqUXQ2gsyxhCU8lGHz6OC03Nc2NLkhiCJKQc8S1GfEkRx0LElQwZEiGAnQxZkgbpkyDAsJyYUwbjS4C05QfQLUCmyo+Q4qNLeqzms57KaC73WK+OsZTHXOGBAzjRrBQ42p3uaDYmZZPSIqHs8InWE0rDRWMfGoRLjSbxEkuy1GiQLaXIlVDnQMjj2/fxq70sYwhtJRt9aCjl6CNWiUcXLrZTzGRL6GGcQzWm9SlGfEgRGyECWEmRMRkC2AmRpTLEhwhxKUGmvsdcATJHfoylPobew0Z8uEp72EiPruf6hMdqXkd7hQeA/eUsaHE/9np11PdJUVB21BxHur8GTkWrhKnR8kGkSbwAceVLbNkChBcuMc+TEOdA6OPb5/Eb4viMPdrGHDSkFIaImWDoI3SyoY+52yaWrAkpSXwLEl/pFB+j+ziSIi6EyBIZMiRCgH4ZMicN0idBgG4RMkWC2AgQm/SHS/nRJz6ar5tS5jKU9rCRHn0pj3Yfj3bj0i7hUa/DzoEtYBN75SxNmr066vvZcxzoGJWnVCg7fOPzi6xPYkqaVD6IQksZbfKlJpSE0SBcanyLlxxFS4zj1+WxmeLIVr7//oTszzCFJculZUjrWNIk9ChHofrH+Cwp8iFfXDewdSBFbIQI0C9FxmQI0C9E5siQIRECdMuKKWkQWwniQoCMld0MyY+pqY+m+Fi9T5WaGBAfS6VHV8qjq3HpkPAAsFfO0lyBeujZZikLKQrKjpoUJNjwZ71bUpU0NSFkTSpSpiani9ipuBYymsRLjasLZC3HtYvjNdXRtVIZ2SrE3wnfJQtT8VXiMIVJ5RAO39d23UOKGt+yxJckcS1IXMkRWykC9IqRJVJkrhBxLUP2D7dqnwaxkSBdAgQYlhSAvQAZEix98mNK6qMtPtppj3Zfj6Z+aMuNLunRfG27j0ef8Kj7d+zjENZLWUhxUHbUpNCgVLuMcYEroZO6rGnjQt5ouYidw9JzKQUhUzP3IlmjgKmZczGt7XidegzGPuamHEeaGy+H/iz3cZHqehliNRMOXcoUQpr4GsrZRzmRS/HionntFDEC7JMjtlIEWBcjNkIEWJciYzIEWBciY6kQoJle6BchwJ4MsZErYxKkS4AAe8JijgCZIj+6Uh9zxceY9NhuvbaPtvBYzaYj3VH/q+27BfEOZUfNcbgfn50n1B62FwolCJ02NoInN3nTZuzLfU7n0ti5EPsieS5DF9eaRUybvs94zcdg1zGl7TjqOj5iHxc+LlLn0P78C7kM7fcO3Uw4RCmTb0njo9Guy3IiV+JlaV+WqXIEOCFIpogRYCVHbKUIsBIjNkIE2JMitmUyNjJkTIT0SRCgW1jUbA7Me2y+7fmMyY+2+Ni/nHbyYv9ydr+uud1GhQfTHUVD2VFzDHZfDpvTaBqtQzv1H0kNo3pog3WEe5IrZKlWLOovnhqbFy8hl+P4HqT32X4/9H+21nXTmtCyr2Puv3sR9rMo1PulcE60Cb0vQrFovWYIEvj93ezo/Zt2w/Bia3SUGav3awzDqpm6rMQ1zRFcrGkLj12spzuy5xiAv4+9EGrIVnaIyPkAfh2rQ/53jTH/x+iLHpj4Jl+bsWBjZLtHKlz/2qjhi6orNI0oEAsXf4S0XVD1seQ7kGYp5LMRYCjmHIexj7spn62xPjd9DNG5FNt97Xv/2uw/X/ttbL+43h9jnxGuPguG3sfnEL1LtlfXMrsemcdF35mp69helrn9X6xHvmlIEotlPdJMnUwYztd2hJrBkWia6YiRUWeGmqoONVEdGjmmq1lq3+gw7b4jY69tTlOXpuxNu7nW6HSr9aVoTHJ0jdiyRlN43AvgkQDuqP4l3hGRtwP4QQB3GGMe3zPNMwH8GoCTAdxpjHmGl2UxxviYb1RE5ACAzwN4HoBbAVwN4OXGmM/2v+YJBvjYwFwf4nYhCcldbNmSk7AaI1UJNUbsC31XaJZIfWiSRH1oPD60fO7E/EyIsV9CbXef29XXOed6vi62gYtlWjKPOesw5/2mvMZ2mSykCTAuTMZSJEPpkb7hd4FuOdL3mq7ERluItF/Xfk17+ubzTQlSC5BafjTnW8uPbRxZu19Ps40dbOAotrGDLexgE0exhR2cuvN1bH4Fq4THHYA8A9caY87bv/Z5IHKGAX7S4zu8cXT7icjTsdKV7+qSHSJyCoD/DOB8Y8zfisgjjTF3+FjaXC+3ngLgZmPMLQAgIu8G8CIAvbJjFev4ysAsh54LTYrfyGOhWFJNTRI5Q9k28ZGQKpVYn+h/52m+Wi5I5xDqIvZOR/PxeeG79Pjw8SdvyZ90DYLJxf6as1+WnpNfnTBtiHNozna03W5Tt5XNuexqm9gew2PLZDOfvnksWZeh9+17v6mvmbJ8XfO+c3N8GgBH2tO13nefymhJlK/j1BP32+Lkbpxy4n6fNGnLkvo1TclQP9YlSOrp6mlqifG16v99UuRunHJi2rtxytp0W9jB13AKtnGkem638dx6M9O7q+k2sIvtRgKlFh8Px504sr2Nhz/mq3jIXUfnVkaRiRhj/kJEzhqY5EcAvN8Y87fV9F5EB5Cv7DgDwJca/78VwFOHX3IPhpMdY6T8rTwW0xsVlUPpx5MyIeMdR/s7mkDrY+FVanQRluJxmOIyR0bLN6HYH/shUyahUiW+fxvyIb5cbhtXx9TSY2PJOs1dh6nLPGVf2k5rnQKZ8nzH1Xr1Pke6njtcP9f9+Nd75rV/PuuypCuR0hYqbZGyntI42vl4M/FRC5D6+fq5+vEt7JxIhWxiF1tVymMlPlYC5DY8CqfhTtx24FF4+CPuxCmPuLtrrUl4HgfgZBG5Aquz/NeNMe/y8UZa/sS7Rjoe21evIyIXAbio+u+9wH/3116XirjkNLj7TZPEgfswfbgP04b7D9AjCefJPe7D9OE+TJ/i9mFX8Uz7McVK4ZtjL4BfbrsUeONpHt/goIhc0/j/xcaYiyfO4yQATwLwHKy09JUicpUx5vOuFrL5RjlyK4BHN/5/JoDb2hNVO2bqziEKEJFrcq63KwHuw/ThPkwb7r/04T5MH+7D9OE+JJowxpwfexksuBWrpqT3AbhPRP4CwHdj1XPTKQ+RexTUAAAM1klEQVRyPUMlXA3gHBE5W0Q2ALwMwCWRl4kQQgghhBBCCCmZDwL4PhE5SUS2sWo38Tkfb5RlssMY84CIvBbApVgNPvR2Y8yNkReLEEIIIYQQQgjJFhH5IwDPBHCaiNwK4OewGmIWxpi3GmM+JyJ/CuB6AMcB/K4x5gYfy5Kl7AAAY8yHAXw49nIQb7D8KH24D9OH+zBtuP/Sh/swfbgP04f7kJAGxpiXW0zzFgBv8b0sYsy+vp2EEEIIIYQQQgghyZJrzw5CCCGEEEIIIYQUCmUHUYGInC8ify0iN4vI6zue3xSR91TPf1xEzqoef56IXCsin6n+fXbjNVdU87yuuj0y3BqVxYL9d5aIHGnso7c2XvOkar/eLCK/ISJdQ0oTRyzYh69o7L/rROS4iJxbPcdzMCAW+/DpIvJJEXlARC5oPXehiNxU3S5sPM7zMCBz96GInCsiV4rIjSJyvYi8tPHcO0Tkbxrn4bmh1qc0Fp6Dxxr76JLG42dXn7k3VZ/BGyHWpVQWnIPPav0tvF9EXlw9x3OQkFgYY3jjLeoNqyayXwDwWAAbAD4N4Ntb0/wkgLdW918G4D3V/ScAeFR1//EAvtx4zRUAzou9frnfFu6/swDc0DPfTwD4XgAC4CMAfiD2uuZ6W7IPW9N8J4BbGv/nOahrH54F4LsAvAvABY3HHwbglurfU6v7p1bP8TxMYx8+DsA51f1HAbgdwCnV/9/RnJY3ffuveu7envm+F8DLqvtvBfATsdc119vSfdiY5mEA7gKwXf2f5yBvvEW6MdlBNPAUADcbY24xxhwF8G4AL2pN8yIA76zu/zGA54iIGGM+ZYy5rXr8RgAHRWQzyFKTmtn7r2+GInI6gIcYY640xhisvlS82P2ikwpX+/DlAP7I65KSPkb3oTHmi8aYuvN5k+8HcJkx5i5jzNcAXAbgfJ6HwZm9D40xnzfG3FTdvw3AHQAeEWaxScWSc7CT6jP22Vh95gKrz2Ceg/5wtQ8vAPARY8yOv0UlhNhA2UE0cAaALzX+f2v1WOc0xpgHAHwdwMNb0/wwgE8ZY3Ybj/1+FRn8Xxm/9sbS/Xe2iHxKRD4mIt/XmP7WkXkSd7g6B1+K/bKD52AYbPbh1NfyPAzLkn14AhF5Cla/Sn+h8fAvVeUtv8ofBLyxdP8dFJFrROSquvwBq8/Yu6vP3DnzJNNwcg5ilX5s/y3kOUhIBCg7iAa6LoDawwQNTiMi3wHgzQD+aeP5VxhjvhPA91W3H124nKSbJfvvdgCPMcY8AcDrAPyhiDzEcp7EHS7OwacC2DHr46TzHAzHknOm77U8D8OyeHtXaZx/C+DHjTH1L89vAPBtAJ6MVbz+p5csJOll6f57jDHmPAA/AuDXRORbHMyTTMPVOfidAC5tPMxzkJBIUHYQDdwK4NGN/58J4La+aUTkJAAPxaoeEiJyJoAPAHiVMebEL1nGmC9X/94D4A+xiicS98zef8aYXWPMVwHAGHMtVr9EPq6a/syReRJ3LDoHK/b9ksVzMCg2+3Dqa3kehmXJPkQliv8EwBuNMVfVjxtjbjcrdgH8Pnge+mLR/qtLco0xt2DV7+gJAO4EcEr1mTt5nmQyi/ZhxX8D4APGmG/UD/AcJCQelB1EA1cDOKfqOL6B1UXTJa1pLgFQjxBwAYA/N8YYETkFqy93bzDG/Kd6YhE5SUROq+6fDOAHAdwA4oMl++8RInIAAETksQDOwarB5e0A7hGR76lKH14F4IMhVqZQZu9DABCRBwF4CVb1zage4zkYFpt92MelAJ4vIqeKyKkAng/gUp6HwZm9D6vpPwDgXcaY97WeO736V7Dq98Dz0A9L9t+pdWlD9bn5NACfrT5jL8fqMxdYfQbzHPTHks/Rmn29q3gOEhKR2B1SeePNGAMALwDweax+2f+Z6rE3AXhhdf8ggPcBuBmr0QEeWz3+RgD3AbiucXskgEMArgVwPVaNS38dwIHY65nrbcH+++Fq/3wawCcB/OPGPM/D6gvBFwD8JgCJvZ453+buw+q5ZwK4qjU/noP69uGTsfrl8j4AXwVwY+O1/6TatzdjVQJRP87zMIF9COCVAL7R+lt4bvXcnwP4TLUf/wDA4djrmettwf77r6p99Onq31c35vnY6jP35uozeDP2euZ8W/g5ehaALwN4UGuePAd54y3STYxh6R8hhBBCCCGEEELygWUshBBCCCGEEEIIyQrKDkIIIYQQQgghhGQFZQchhBBCCCGEEEKygrKDEEIIIYQQQgghWUHZQQghhBBCCCGEkKyg7CCEEFIkIvIzInKjiFwvIteJyFOrx78oIqdFXK6XiMjnROTy1uNniciRalnr24aD9ztLRG6YMP0XReQz1Xb7mIh889JlWIqI/JSIbE98zTNF5EO+lokQQgghcaHsIIQQUhwi8r0AfhDAE40x3wXguQC+5GC+Jy2dB4BXA/hJY8yzOp77gjHm3MbtqIP3m8Ozqu12BYA3RlqGJj8FYJLsIIQQQkjeUHYQQggpkdMB3GmM2QUAY8ydxpjbGs//DyLyySrB8G0AICJPEZH/LCKfqv79B9XjPyYi7xOR/xvAR6vH/qWIXF2lH36hawFE5OXV/G8QkTdXj/0sgH8I4K0i8habFRGRnxeRf9H4/w1VWuOsKiHytirB8lER2aqmeZKIfFpErgTwmsZrv0NEPlGlRq4XkXNG3v5KAGc0Xv/Kxut/R0QOVI//uIh8vkqCvE1EfrN6/B0ickHj9fc27u/bhiJySET+pFr2G0TkpSLyzwA8CsDldRpGRJ4vIldW+/B9InK4evx8EfkrEflLAP+1zfYlhBBCSJpQdhBCCCmRjwJ4dHUB/m9E5Bmt5+80xjwRwG8DqEXCXwF4ujHmCQB+FsD/3pj+ewFcaIx5tog8H8A5AJ4C4FwATxKRpzdnLiKPAvBmAM+upnmyiLzYGPMmANcAeIUx5l92LPe3NEpYfstiPc8B8FvGmO8AcDeAH64e/30A/8wY872t6f97AL9ujDkXwHkAbh2Z//kA/kO1Tv8lgJcCeFr1+mMAXiEipwP4BQBPA/A8AN8+ttAD2/B8ALcZY77bGPN4AH9qjPkNALdhlTZ5VlWC9EYAz6324TUAXiciBwG8DcA/BvB9AP6LseUghBBCSLq4iNsSQgghSWGMuVdEnoTVRe+zALxHRF5vjHlHNcn7q3+vxV4C4KEA3lmlHQyAkxuzvMwYc1d1//nV7VPV/w9jdeH+F43pnwzgCmPM3wGAiPw7AE9HJQ4G+EIlEmz5G2PMdY11OUtEHgrgFGPMx6rH/y2AH6juXwngZ0TkTADvN8bc1DPfy0XkmwDcgb0ylucAeBKAq0UEALaq55+K9XV9D4DHjSx33zb8jwB+pUrCfMgY8x87Xvs9WAmV/1Qtx0a1Xt9WbY+bquX4AwAXjSwHIYQQQhKFsoMQQkiRGGOOYdVz4goR+QyACwG8o3p6t/r3GPb+Vv4igMuNMT8kImdVr625r3FfAPwrY8zvDLy9LFj0Ng9gPal5sHF/t3H/GFYCQrCSNfswxvyhiHwcwD8CcKmI/LfGmD/vmPRZWK3zOwC8CcDrqvm+0xjzhuaEIvLivvdrLruszETdcLV3G1aS6gUA/pWIfLRKw6xNgpV8ennrdecOLAchhBBCMoNlLIQQQopDRP5Bqx/FuQD+35GXPRTAl6v7PzYw3aUA/kmjT8QZIvLI1jQfB/AMETmt6mvxcgAfwzy+COCJ1Xs9EcDZQxMbY+4G8HUR+YfVQ6+onxORxwK4pSoNuQTAdw3M5whWjUFfJSIPA/BnAC6o11VEHiarkVo+DuCZIvJwETkZwEtay/6k6v6LsJeW6dyGVfnPjjHmDwD8Sr3eAO4B8ODq/lUAniYi31q9dltEHodVGdLZIvIt1XRrMoQQQgghecFkByGEkBI5DOBfi8gpWKULbsZ4ScMvY1XG8joAXWkHAIAx5qNV/4orqzKKewG8EquSjnqa20XkDQAuxyqJ8GFjzAdnrsu/x0o4XAfgagCft3jNjwN4u4jsYCUWal4K4JUi8g0A/x9WqY1eqvX4IwCvMcb8ooi8EcBHReRBAL5RPX6ViPw8VqUktwP4JIAD1SzeBuCDIvIJrGTJfdV8+7bhtwJ4i4gcr+b/E9V8LgbwERG5verb8WMA/khENqvn32iM+byIXATgT0TkTgB/CeDxFtuKEEIIIQkixjDRSQghhJAwVCLiPGPMa2MvCyGEEELyhWUshBBCCCGEEEIIyQomOwghhBBCCCGEEJIVTHYQQgghhBBCCCEkKyg7CCGEEEIIIYQQkhWUHYQQQgghhBBCCMkKyg5CCCGEEEIIIYRkBWUHIYQQQgghhBBCsoKygxBCCCGEEEIIIVnx/wMoowf82ua8ewAAAABJRU5ErkJggg==\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "trigger_grid(supply_sweep, alpha_sweep)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Resolving Passed Proposals\n", "\n", "![image](.\\images\\stockflow_cv_trigger.png)\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)" ] }, { "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", "![](images/Aragon_v2.png)\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 variable in the model is *funds*, which is a numpy floating point. \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", " 'funds':increment_funds,\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 funds state variable is updated for the increase in system funds. \n", "[To see the partial state update code, click here](model/model/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/model/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/model/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/model/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 second 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", "* 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": 4, "metadata": {}, "outputs": [], "source": [ "from model import economyconfig" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# pull out configurations to illustrate\n", "sim_config,genesis_states,seeds,partial_state_update_blocks = economyconfig.get_configs()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "{'N': 1, 'T': range(0, 60), 'M': [{}], 'simulation_id': 0, 'run_id': 0}" }, "metadata": {}, "execution_count": 6 } ], "source": [ "sim_config" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "[{'policies': {'random': },\n 'variables': {'network': ,\n 'funds': }},\n {'policies': {'completion': },\n 'variables': {'sentiment': ,\n 'network': }},\n {'policies': {'release': },\n 'variables': {'funds': ,\n 'sentiment': ,\n 'network': }},\n {'policies': {'participants_act': },\n 'variables': {'network': }}]" }, "metadata": {}, "execution_count": 7 } ], "source": [ "partial_state_update_blocks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initialization\n", "To create the genesis_states, we create our in-memory graph database within networkx. \n", "\n", "\n", "### Hyperparameters\n", "* $\\beta$ = .2 # maximum share of funds a proposal can take\n", "* $\\rho$ = 0.002 # tuning param for the trigger function\n", "* $\\alpha$ = 1/8 = 1/2^3 = 3 day half-life when timestep is 1 day \n", "* supply = 21706 # Honey supply balance as of 7-17-2020 \n", "* initial_sentiment = .9\n", "* n= 24 #initial participants\n", "* m= 3 #initial proposals\n", "* sensitivity = .75\n", "* tmin = 7 #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 = 100\n", "* base_failure_rate = 200 \n", "* initial_funds = 48000 # in xDai\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# import libraries\n", "import networkx as nx\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from model.model.conviction_helper_functions import * \n", "\n", "# # Parameters\n", "# # maximum share of funds a proposal can take\n", "# beta = .2\n", "# # tuning param for the trigger function\n", "# rho = 0.002\n", "# #alpha = 1 - 0.9999599 #native timescale for app as in contract code\n", "# alpha = 1/2**7 #timescale set in days with 7 day halflife\n", "\n", "# supply = 21706 # Honey supply balance as of 7-17-2020 \n", "# initial_sentiment = .9\n", "\n", "\n", "# n= 24 #initial participants\n", "# m= 5 #initial proposals\n", "\n", "\n", "# sensitivity = .75\n", "# tmin = 0 #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 = 100\n", "# base_failure_rate = 200 \n", "\n", "# initial_funds = 48000 # in xDai\n", "\n", "\n", "#initializers\n", "network = genesis_states['network']\n", "initial_funds = genesis_states['funds']\n", "initial_sentiment = genesis_states['sentiment']\n", "\n", "# Create initial states\n", "# genesis_states = { \n", "# 'network':network,\n", "# 'funds':initial_funds,\n", "# 'sentiment':initial_sentiment,\n", "#}" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "{'network': ,\n 'funds': 48000,\n 'sentiment': 0.6,\n 'supply': 21706}" }, "metadata": {}, "execution_count": 9 } ], "source": [ "genesis_states" ] }, { "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": 10, "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": 11, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "{'type': 'participant',\n 'holdings': 1724.633321641135,\n 'sentiment': 0.642796810815645}" }, "metadata": {}, "execution_count": 11 } ], "source": [ "#sample a participant\n", "network.nodes[participants[0]]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Text(0, 0.5, 'Count of Participants')" }, "metadata": {}, "execution_count": 12 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "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": 13, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Text(0.5, 1.0, 'Participants Social Network')" }, "metadata": {}, "execution_count": 13 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": {} } ], "source": [ "nx.draw_spring(network, nodelist = participants, edgelist=influencers)\n", "plt.title('Participants Social Network')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "{'type': 'proposal',\n 'conviction': 0,\n 'status': 'candidate',\n 'age': 0,\n 'funds_requested': 1246.316005180526,\n 'trigger': 16371.80653344542}" }, "metadata": {}, "execution_count": 14 } ], "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": 15, "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, beta, rho, alpha) for r in funds_array])" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')" }, "metadata": {}, "execution_count": 16 }, { "output_type": "display_data", "data": { "text/plain": "
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iIek2oO345RGxYSURmZlZ7XTKWWyX/34u/z09/90TeK6yiMzMrHbaJhYRcT+ApC0iYoumQ4dI+hNwZNXBmZlZPZRUcI+Q9K7GhqTNgRHVhWRmZnVT0s9iP+AkSaPy9lPAvtWFZGZmdVPSGmoK8NY88ZEiYlb1YZmZWZ2UzME9HPgoMB5YUhIAEeE6CzOzPlFSDPU/wCzSLHkvVhuOmZnVUUliMS4itq08EjMzq62S1lB/lrRB5ZGYmVltleQs3gXsLWkaqRhKQLgHt5lZ/yhJLD5UeRRmZlZrJYlF2/GhzMysP5QkFheSEgwBy5BmyrsHWL/CuMzMrEa6VnBHxAYRsWH+uy6wKXB1yc0lbSvpHklTJR0ywPHhks7Kx6+TND7vX0rSqZJuk3SXpK8N7mmZmdnCVNIaaj4RcSOwSbfzJA0Dfkqq85gA7C5pQstp+wEzI2Id4Bjg6Lz/Y8DwiNgAeDvw6UZCYmZmQ6+kB/fBTZtLABsDjxXce1NgakTcl+9zJrAjcGfTOTsCh+f1c4D/UuoiHqQBDJcElgVeAp4ueEwzM6tASc5i+aZlOKkOY8eC61YDHmzanpH3DXhORMwh9RRfkZRwPAs8AjwA/CAinmx9AEn7S5osafJjj5WkX2ZmtiA6zZS3ZETMiYgjFvDeGmBfa8uqdudsCswFVgVWAP4o6feNXMqrJ0YcDxwPMHHiRLfaMjOrSKecxfWNFUnHLsC9ZwCrN22PAx5ud04uchoFPAnsAVwcES9HxN+BPwETFyAGMzNbCDolFs2/+rdoe1Z7NwDrSlpL0tLAbsCklnMmAXvl9V2AyyMiSEVP71UyAtgMuHsBYjAzs4WgU2LxDxXr5DqIA4BLgLuAsyPiDklHStohn3YisKKkqcDBQKN57U+B5YDbSYnOyRFx6z8Sj5mZLbhOraHeLOlWUg5j7bwOgxgbKiIuAi5q2Xdo0/oLpGayrdfNHmi/mZn1RqfE4p+GLAozM6u1tolFRNw/lIGYmVl9DboHt5mZ9R8nFmZm1lXbxELSZfnv0e3OMTOz/tCpgvsNkrYCdsjjOs3X2zoPKGhmZn2gU2JxKKnfwzjgRy3HAnhvVUGZmVm9dGoNdQ5wjqRvRsS3hjAmMzOrma5DlEfEt3KP6y3zrisj4oJqwzIzszrp2hpK0neBg0jzUNwJHJT3mZlZnyiZg/vDwEYR8QqApFOBmwBPdWpm1idK+1mMblofVUUgZmZWXyU5i+8CN0m6gtR8dkucqzAz6yslFdy/lnQlsAkpsfhqRDxadWBmZlYfJTkLIuIRXjtxkZmZ9QmPDWVmZl05sTAzs66KiqEkDQNWbj4/Ih6oKigzM6uXromFpM8DhwF/A17JuwPoOq2qmZktHkpyFgcBb4qIJ6oOxszM6qmkzuJBYFbVgZiZWX2V5CzuA66UdCHwYmNnRLQOW25mZoupksTigbwsnRczM+szJT24jwCQtHzajNmVR2VmZrVSMkT5WyTdBNwO3CFpiqT1qw/NzMzqoqSC+3jg4IhYMyLWBL4EnFBtWGZmViclicWIiLiisRERVwIjKovIzMxqp6g1lKRvAqfn7U8A06oLyczM6qYkZ7EvMBY4F/hdXt+nyqDMzKxeSlpDzQQOHIJYzMysptomFpJ+HBFfkHQ+aSyo+UTEDpVGZmZmtdEpZ9Goo/jBUARiZmb11TaxiIgpeXWjiPhJ8zFJBwFXVRmYmZnVR0kF914D7Nt7IcdhZmY11qnOYndgD2AtSc3zby8PeLhyM7M+0qnO4s/AI8AY4IdN+58Bbq0yKDMzq5dOdRb3A/dL2hN4OCJeAJC0LDAOmD4kEZqZWc+V1FmczbzpVAHmAr8pubmkbSXdI2mqpEMGOD5c0ln5+HWSxjcd21DSNZLukHSbpGVKHtPMzBa+ksRiyYh4qbGR17vOayFpGPBT4EPABGB3SRNaTtsPmBkR6wDHAEfna5cEzgA+ExHrA1sDLxfEamZmFShJLB6T9GoHPEk7Ao8XXLcpMDUi7ssJzJnAji3n7AicmtfPAbaRJOADwK0RcQtARDwREXMLHtPMzCpQklh8Bvi6pAckPQh8Ffh0wXWrkebvbpiR9w14TkTMIc31vSKwHhCSLpF0o6SvFDyemZlVpGRsqHuBzSQtByginim8twa6XeE5SwLvAjYBngMukzQlIi6b72Jpf2B/gDXWWKMwLDMzG6ySIcqR9GFgfWCZVEoEEXFkl8tmAKs3bY8DHm5zzoxcTzEKeDLvvyoiHs+PfxGwMTBfYhERx5MmZ2LixImvGb/KzMwWjpJpVY8DdgU+T8oJfAxYs+DeNwDrSlpL0tLAbsCklnMmMa+H+C7A5RERwCXAhpJelxORrYA7Cx7TzMwqUFJnsXlEfJLUaukI4J3Mn2MYUK6DOID0xX8XcHZE3CHpyKYK8xOBFSVNBQ4GDsnXzgR+REpwbgZujIgLB/fUzMxsYSkphnoh/31O0qqkoT7WKrl5RFwEXNSy79Cm9RdIOZWBrj2D1HzWzMx6rCSxOF/SaOD7wI2kCugTKo3KzMxqpWNiIWkJ4LKIeAr4raQLgGUiYtaQRGdmZrXQsc4iIl6haRDBiHjRCYWZWf8pqeC+VNJH1Wgza2ZmfaekzuJgYAQwR9ILpOazEREjK43MzMxqo6QH9/JDEYiZmdVX22IoSQc0ra8/NOGYmVkddaqz2Ldp/fSqAzEzs/oqqeCGgQf8MzOzPtGpzmK0pI+QEpSRknZuPhgR51YamZmZ1UanxOIqoDGG0x+A7ZuOBeDEwsysT7RNLCJin6EMxMzM6qu0zsLMzPqYEwszM+vKiYWZmXVVOq3qW4AJwDKNfRFxWlVBmZlZvXRNLCQdBmxNSiwuAj4EXA04sTAz6xMlxVC7ANsAj+YWUm8FhlcalZmZ1UpJYvF8ntdijqSRwN+BN1YblpmZ1UlJncXkPK3qCcAUYDZwfaVRmZlZrZQMUf7ZvHqcpIuBkRFxa7VhmZlZnRS1hmqIiOkVxWFmZjXmfhZmZtaVEwszM+uqa2IhaW1Jw/P61pIOzBXeZmbWJ0pyFr8F5kpaBzgRWAv4VaVRmZlZrZQkFq9ExBzgI8CPI+KLwBuqDcvMzOqkJLF4WdLuwF7ABXnfUtWFZGZmdVOSWOwDvBP4TkRMk7QWcEa1YZmZWZ2UdMq7EziwaXsacFSVQZmZWb2UjDq7LvBdXjtEuceHMjPrEyXFUCcD/w3MAd5DGpr89CqDMjOzeilJLJaNiMsARcT9EXE48N5qwzIzszopGRvqBUlLAH+VdADwELBStWGZmVmdlOQsvgC8jlTJ/XbgE6RmtGZm1idKWkPdkFdnk5rRmplZn2mbs5B0vKQN2hwbIWlfSXtWF5qZmdVFp5zFz4Bv5gTjduAxUtPZdYGRwEnALyuP0MzMeq5tYhERNwMfl7QcMJE0HtTzwF0RcU/JzSVtC/wEGAb8IiKOajk+nNQU9+3AE8CuzRMsSVoDuBM4PCJ+MIjnZWZmC1FJncVs4MrB3ljSMOCnwPuBGcANkiblHuEN+wEzI2IdSbsBRwO7Nh0/BvjfwT62mZktXG0TC0m3AdHueERs2OXemwJTI+K+fL8zgR1JOYWGHYHD8/o5wH9JUkSEpJ2A+4Bnuz0JMzOrVqecxXb57+fy30av7T2B5wruvRrwYNP2DOAd7c6JiDmSZgErSnoe+CopV/Lv7R5A0v7A/gBrrLFGQUhmZrYg2raGyr217we2iIivRMRteTkE+GDBvTXQbQvPOQI4JheBtRURx0fExIiYOHbs2IKQzMxsQZT04B4h6V0RcTWApM2BEQXXzQBWb9oeBzzc5pwZkpYERgFPknIgu0j6HjAaeEXSCxHxXwWPa2ZmC1lJYrEfcJKkUaRf/bOAfQuuuwFYN89/8RCwG7BHyzmTSL3BrwF2AS6PiADe3ThB0uHAbCcUZma9U9IaagrwVkkjSYMJziq5ca6DOAC4hNR09qSIuEPSkcDkiJhEmtP7dElTSTmK3Rb0iZiZWXVK5rNYGfgPYNWI+JCkCcA7I+LEbtdGxEXARS37Dm1afwH4WJd7HN7tcczMrFolAwmeQsodrJq3/0IaXNDMzPpESWIxJiLOBl6BVLwEzK00KjMzq5WSxOJZSSuSm71K2oxUyW1mZn2ipDXUwaRWS2tL+hMwli71DGZmtngpSSzuALYC3kTqRHcPZTkSMzNbTJR86V8TEXMi4o6IuD0iXib1izAzsz7RaSDBVUhjNy0r6W3MG5pjJGmaVTMz6xOdiqE+COxNGqbjh8xLLJ4Bvl5tWGZmViedJj86FThV0kcj4rdDGJOZmdVMSZ3FOEkjlfxC0o2SPlB5ZGZmVhslicW+EfE08AFgJWAf4KjOl5iZ2eKkJLFo1FX8M3ByRNzCwPNQmJnZYqoksZgi6VJSYnGJpOXJQ3+YmVl/KJ3PYiPgvoh4Lg/9sU+1YZmZWZ2U5CwCmAAcmLdHAMtUFpGZmdVOSWLxM+CdwO55+xngp5VFZGZmtVNSDPWOiNhY0k0AETFT0tIVx2VmZjVSkrN4WdIw5g1RPhZXcJuZ9ZWSxOI/gd8BK0n6DnA1aZpVMzPrE12LoSLil5KmANuQ+lfsFBF3VR6ZmZnVRtfEQtIawHPA+c37IuKBKgMzM7P6KKngvpBUXyFSk9m1SBMgrV9hXGZmViMlxVAbNG9L2hj4dGURmZlZ7Qx6etSIuBHYpIJYzMyspkrqLA5u2lwC2Bh4rLKIzMysdkrqLJZvWp9DqsPwZEhmZn2kpM7iiKEIxMzM6qukGGpSp+MRscPCC6d3xh9yYa9DeNX0oz7c6xDMzOZTUgw1DVgFOCNv7w5MBy6pKCYzM6uZksTibRGxZdP2+ZL+EBFfryooMzOrl5Kms2MlvbGxIWktYGx1IZmZWd2U5Cy+CFwp6b68PR53yrM+Uae6LHB9lvVOSWuoiyWtC7w577o7Il6sNiwzM6uTrsVQkl4HfBk4ICJuAdaQtF3lkZmZWW2U1FmcDLxEmloVYAbw7coiMjOz2imps1g7InaVtDtARDwvSRXHZWZ9wvVCi4aSnMVLkpZl3rSqawOuszAz6yMlicVhwMXA6pJ+CVwGfKXk5pK2lXSPpKmSDhng+HBJZ+Xj10kan/e/X9IUSbflv+8tfkZmZrbQdSyGysVNdwM7A5uRJkA6KCIe73ZjScOAnwLvJ9Vz3CBpUkTc2XTafsDMiFhH0m7A0cCuwOPA9hHxsKS3kHqLrzboZ2dmZgtFx5xFRARwXkQ8EREXRsQFJQlFtikwNSLui4iXgDOBHVvO2RE4Na+fA2wjSRFxU0Q8nPffASwjaXjh45qZ2UJWUgx1raQFmexoNeDBpu0ZvDZ38Oo5ETEHmAWs2HLOR4GbBurbIWl/SZMlTX7sMU+xYWZWlZLE4j3ANZLulXRrrke4teC6gVpMxWDOkbQ+qWhqwB7jEXF8REyMiIljx3oEEjOzqpQ0nf3QAt57BrB60/Y44OE258yQtCQwCngSQNI44HfAJyPi3gWMwczMFoKS4T7uX8B73wCsmwcefAjYDdij5ZxJwF7ANcAuwOUREZJGk2bk+1pE/GkBH9/MzBaSkmKoBZLrIA4gtWS6Czg7Iu6QdKSkxoRJJwIrSpoKHAw0mtceAKwDfFPSzXlZqapYzcyss5JiqAUWERcBF7XsO7Rp/QXgYwNc9208pIiZWW2UDCR4gKQVhiIYMzOrp5KcxSqkDnU3AicBl+T+F2ZWQ3Uaa8njLC0+uuYsIuIbwLqk+oW9gb9K+o88RpSZmfWBogrunJN4NC9zgBWAcyR9r8LYzMysJroWQ0k6kNS89XHgF8CXI+JlSUsAf6VwUEEzM1t0ldRZjAF2bu1vERGveMY8M7P+UFJncShpePJ9ACSNzR3tiIi7Ko7PzMxqoKTp7GHAV4Gv5V1LAWdUGZSZmdVLSQX3R4AdgGcB8tDhy1cZlJmZ1UvRtKq5NVRjWtUR1YZkZmZ1U5JYnC3p58BoSZ8Cfg+cUG1YZmZWJyWjzv5A0vuBp4E3AYdGxP9VHpmZmdVG0UCCOXFwAmFm1qdKWkPtLOmvkmZJelrSM5KeHorgzMysHkpyFt8DtnefCjOz/lVSwf03JxRmZv2tJGep1pfLAAAMzElEQVQxWdJZwHnAi42dEXFuZVHZYqlOQ2eDh882G4ySxGIk8BzwgaZ9ATixMDPrEyVNZ/cZikDMzKy+SoYoHwccC2xBylFcDRwUETMqjs06cJGOmQ2lkgruk4FJwKrAasD5eZ+ZmfWJksRibEScHBFz8nIKMLbiuMzMrEZKEovHJX1C0rC8fAJ4ourAzMysPkoSi32Bj5Pm334E2CXvMzOzPlHSGuoB0nwWZmbWp9omFpKOJc9hMZCIOLCSiMzMrHY65SwmN60fARxWcSxmZlZTbROLiDi1sS7pC83bZmbWX0oquKFDcZSZmS3+ShMLMzPrY50quJ9hXo7idU0THgmIiBhZdXBmZlYPneoslh/KQMzMrL5cDGVmZl05sTAzs67aJhaShg9lIGZmVl+dchbXAEg6fYhiMTOzmurUg3tpSXsBm0vaufWg5+A2M+sfnRKLzwB7AqOB7VuOeQ5uM7M+0qnp7NXA1ZImR8SJC3JzSdsCPwGGAb+IiKNajg8HTgPeTpojY9eImJ6PfQ3YD5gLHBgRlyxIDGZm9o/rOkQ5cLqkA4Et8/ZVwHER8XKniyQNA34KvB+YAdwgaVJE3Nl02n7AzIhYR9JuwNHArpImALsB65Omc/29pPUiYu5gnpyZmS0cJU1nf0b65f+zvGwM/HfBdZsCUyPivoh4CTgT2LHlnB2BxgCF5wDbSFLef2ZEvBgR04Cp+X5mZtYDJTmLTSLirU3bl0u6peC61YAHm7ZnAO9od05EzJE0C1gx77+25drVWh9A0v7A/nlztqR7CuKq0hjg8X/0Jjp6IURSzjEPjUUt5kUtXnDMC2rNkpNKEou5ktaOiHsBJL2RVI/QjQbY1zp6bbtzSq4lIo4Hji+IZUjk+p2JvY5jMBzz0FjUYl7U4gXHXLWSxOLLwBWS7iN9ia8J7FNw3Qxg9abtccDDbc6ZIWlJYBTwZOG1ZmY2RErm4L5M0rrAm0iJxd0R8WLBvW8A1pW0FvAQqcJ6j5ZzJgF7kToA7gJcHhEhaRLwK0k/IlVwrwtcX/iczMxsISvJWZATh1sHc+NcB3EAcAmp6exJEXGHpCOByRExCTiR1NpqKilHsVu+9g5JZwN3AnOAzy0iLaFqUyQ2CI55aCxqMS9q8YJjrpQiPAmemZl15lFnzcysq66JhaTLSvaZmdniq9MQ5ctIej0wRtIKkl6fl/GkSue+ll+f6yXdIukOSUfk/WtJuk7SXyWdJWnpXsfa0CHmAyRNlRSSxvQ6zoYO8f5S0j2Sbpd0kqSleh1rQ4eYT8z7bpV0jqTleh1rQ7uYm44fK2l2r+IbSIfX+RRJ0yTdnJeNeh0rdIxXkr4j6S+S7sqjZdRTRAy4AAcB04AXgfvy+jTgFuCAdtf1y0JqGbZcXl8KuA7YDDgb2C3vPw74t17HWhDz24DxwHRgTK/jLIj3n/MxAb9eRF7jkU3n/Ag4pNexdos5b08ETgdm9zrOwtf5FGCXXsc3iHj3IY2Pt0Q+tlKvY223tM1ZRMRPImIt4N8j4o0RsVZe3hoR/9Xuun4RSePX1lJ5CeC9pKFLIA1lslMPwhtQu5gj4qbIAzjWSYd4L8rHgtSkelzPgmzRIeanIf2SBJZlgE6mvdIu5jy+2/eBr/QsuDY6/P/VUod4/w04MiJeyef9vUchdtW1ziIijpW0uaQ9JH2ysQxFcHUnaZikm4G/A/8H3As8FRFz8ikDDlPSS60xR8R1vY6pk07x5uKnfwEu7lV8A2kXs6STgUeBNwPH9jDE12gT8wHApIh4pLfRDazDZ+M7ubjvGNVoxs828a5NGjx1sqT/zX3aaqmkgvt04AfAu4BN8rJIdE+vWkTMjYiNSL9sNwX+aaDThjaqzlpjlvSWXsfUSZd4fwb8ISL+2JvoBtYu5ojYh1Tfdxewaw9DfI0BYt4S+Bg1S9SatXmdv0ZKjDcBXg98tYchzqdNvMOBFyIN+XECcFIvY+ykpOnsRGCLiPhsRHw+L/WthOmBiHgKuJJUBjk6D10CNR6mpCnmbXscSpHWeCUdBowFDu5hWB0N9BpH6lx6FvDRHoXVUVPM7wHWAaZKmg68LneerZ3m1zkiHslFPi8CJ1PD0apbPhczgN/mQ78DNuxRWF2VJBa3A6tUHciiRtJYSaPz+rLA+0i/GK8gDV0CaSiT/+lNhK/VJua7extVe+3ilfSvwAeB3RtlvXXRJuZ7JK2T94k082RtXvc2MU+JiFUiYnxEjAeei4h1ehlnsw6fjTfkfSLVF97euyjn6fC/dx6pnhNgK+AvvYmwu5LhPsYAd0q6ntQyCoCI2KGyqBYNbwBOzZWASwBnR8QFku4EzpT0beAm0pAmddEu5gNJlZirALdKuigi/rWXgWbt4p0D3A9ck74TODcijuxhnM1eEzNwIfBHSSNJrWJuIVVs1sWAr3OPY+qm3WfjckljSa/zzaTpoeugXbxXA7+U9EVgNlCH/7sBdR3uQ9JWA+2PiKsqicjMzGrHY0OZmVlXXYuhJD3DvBY9S5PaBz8bESOrDMzMzOqjZD6L5Zu3Je1EDVsYmJlZdRaoGErStRGxWQXxmJlZDZUUQ+3ctLkEqd+FKzrMzPpIST+L7ZuWDwLPADtWGZRZJ5Lm5hFFb5f0G0mv63VMDZK2lvSaZqeSJkr6zzbXTNcCjvYraSdJE5q2j5T0vrz+7jzC6c2SVpN0Tvs7mXXm1lC2yJE0OyKWy+u/JHUg+1HTcZE+20PeYU/S1qTBN7cbxDXTgYkR8fgCPN4pwAUR8ZqEQNJxwHURcfIC3HdYLBpTGdsQKRkbapyk30n6u6S/SfqtpNqM8ml974/AOpLGK80H8DPgRmB1SbtLui3nQI5uXCBptqQfSrpR0mW5ExeSNpJ0bR6E7neSVsj7D5R0Z95/Zt63qaQ/S7op/31TpyCbcxySVpR0ab7256QOZI3zPqE078HNkn6eO3E1Yv6O0nwI10paWdLmwA7A9/P5ayvN57CLUi/3jwOHKs3/MV7S7flewyR9X9IN+Tl9uinGKyT9Crhtobw7ttgoKYY6GZhEGgBtNeD8vM+sp5TG4PoQ877Y3gScFhFvA14GjiYNpbARsEluyQcwArgxIjYGrgIOy/tPA74aERvmezb2HwK8Le9v9Ai+G9gyP9ahwH8MIvTDgKvztZOANfLz+SfSAINb5AHn5gJ7NsV8bUS8FfgD8KmI+HO+/ssRsVFE3Nt4gIj4RdOxxj0a9gNmRURjYNBPSVorH9sU+H8RMQGzJiXDfYxtycaeIukLVQVkVmBZpaGeIeUsTiT9mLk/Iq7N+zcBroyIx+DV4qotSWPxvEIazA/gDOBcSaOA0U0jE5wK/Cav30oakuG8fD3AKNLwDeuSGnwMZra+LYGdASLiQkkz8/5tgLcDN+RhTJYlDWcN8BLQqAuZArx/EI/X6gPAhpIaY5iNAtbNj3F9REz7B+5ti6mSxOJxSZ8gzUgGsDvwRHUhmXX1fP7l/ar85fps865B3K9bxd2HSV/wOwDflLQ+8C3gioj4iNJUw1cO4vHaPaaAUyPiawMceznmVTDOpex/tx0Bn4+IS+bbmepbnh3wCut7JcVQ+5LKPh8FHiGNqLpvlUGZLQTXAVtJGpPL/XcnFTlB+tw3flXvQSoSmgXMlPTuvP9fgKskLQGsHhFXkAZbHA0sR/o1/lA+d+9BxvYHcvGSpA8BK+T9lwG7SFopH3u9pDW73OsZYPku57S6BPg35bnLJa0nacQg72F9pqQH9wOkX1Rmi4yIeETS10hDxgu4KCIaw8U/C6wvaQowi3kTEe0FHJeb4t5Hmh95GHBGLqYScExEPCXpe6RiqIOBywcZ3hHAryXdSErAHsgx3ynpG8ClOZF6GfgcaYTdds4ETlAaOXiXDuc1+wVpzvUbc8uxx6jR9L9WTyWjzq4FfJ704Xo1cfEQ5baoam56a2ZlSso9zyNVIJ5Pqhg0M7M+U5KzuC4i3jFE8ZiZWQ2VJBZ7kJrVXcr8M+XdWG1oZmZWFyXFUBuQWoa8l3nFUMG8eWPNzGwxV5KzuBvYMCJeGpqQzMysbkr6WdxCaltuZmZ9qqQYamXgbkk3MH+dhZvOmpn1iZLE4rDup5iZ2eJs0PNZSNoC2CMiPldNSGZmVjdFg5FJ2og0hs7HgWnAb6sMyszM6qVtYiFpPWA35o0yexYpJ/KeIYrNzMxqom0xlKRXSHMF7BcRU/O++yLijUMYn5mZ1UCnprMfJQ1LfoWkEyRtw+DmCDAzs8VESae8EaThi3cn9do+FfhdRFxafXhmZlYHg2oNJen1wMeAXSPCw32YmfWJQTedNTOz/lMy3IeZmfU5JxZmZtaVEwszM+vKiYWZmXXlxMLMzLr6/8nD+FCMM0FCAAAAAElFTkSuQmCC\n" }, "metadata": { "needs_background": "light" } } ], "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": 17, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Text(0, 0.5, 'Amount of Conviction')" }, "metadata": {}, "execution_count": 17 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "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": 18, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Text(0.5, 55.73999999999998, 'participant_id')" }, "metadata": {}, "execution_count": 18 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "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": 19, "metadata": {}, "outputs": [], "source": [ "from cadCAD.configuration import append_configs\n", "\n", "# Create configuration\n", "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": 20, "metadata": { "tags": [] }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": "\n ___________ ____\n ________ __ ___/ / ____/ | / __ \\\n / ___/ __` / __ / / / /| | / / / /\n/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n\\___/\\__,_/\\__,_/\\____/_/ |_/_____/\nby cadCAD\n\nExecution Mode: local_proc\nConfiguration Count: 2\nDimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (60, 1, 1, 4)\nExecution Method: local_simulations\nExecution Mode: parallelized\nTotal execution time: 101.73s\n" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "from model.model.conviction_helper_functions 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)" ] }, { "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": 21, "metadata": {}, "outputs": [], "source": [ "df= run.postprocessing(rdf,0)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": " funds network run \\\n4 48001.02 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 \n8 48002.10 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 \n12 48005.49 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 \n16 48009.49 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 \n20 48009.62 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 \n\n sentiment simulation substep supply timestep \\\n4 0.60 0 4 21706 1 \n8 0.60 0 4 21706 2 \n12 0.60 0 4 21706 3 \n16 0.60 0 4 21706 4 \n20 0.60 0 4 21706 5 \n\n conviction candidate_count ... \\\n4 [116.18441536758503, 854.2417126750619, 700.42... 5 ... \n8 [451.8751555038232, 1688.1153131002907, 1310.4... 6 ... \n12 [753.259331565039, 2964.399265844883, 1844.292... 6 ... \n16 [1969.4063629505602, 4305.872236126417, 2530.9... 7 ... \n20 [2541.809178250938, 7083.611417309467, 3832.67... 8 ... \n\n funds_requested \\\n4 [1246.316005180526, 451.2496343268234, 517.799... \n8 [1246.316005180526, 451.2496343268234, 517.799... \n12 [1246.316005180526, 451.2496343268234, 517.799... \n16 [1246.316005180526, 451.2496343268234, 517.799... \n20 [1246.316005180526, 451.2496343268234, 517.799... \n\n share_of_funds_requested \\\n4 [0.02596436443672998, 0.009400834065278401, 0.... \n8 [0.02596378042982971, 0.009400622615775149, 0.... \n12 [0.025961947763609057, 0.009399959068200958, 0... \n16 [0.025959786431957, 0.009399176521789298, 0.01... \n20 [0.025959714288164737, 0.009399150400918072, 0... \n\n share_of_funds_requested_all \\\n4 [0.02596436443672998, 0.009400834065278401, 0.... \n8 [0.02596378042982971, 0.009400622615775149, 0.... \n12 [0.025961947763609057, 0.009399959068200958, 0... \n16 [0.025959786431957, 0.009399176521789298, 0.01... \n20 [0.025959714288164737, 0.009399150400918072, 0... \n\n triggers \\\n4 [14332.969734091617, 11950.022253643614, 12125... \n8 [14332.878756984499, 11949.997176908466, 12125... \n12 [14332.782564524434, 11949.97066245076, 12125.... \n16 [14332.480710213651, 11949.887458268815, 12125... \n20 [14332.124734416684, 11949.789333589362, 12125... \n\n conviction_share_of_trigger \\\n4 [0.008106095074716801, 0.07148452902793548, 0.... \n8 [0.03152717351241262, 0.14126491313004777, 0.1... \n12 [0.05255499608495124, 0.24806749318302754, 0.1... \n16 [0.13740861772429364, 0.3603274299580902, 0.20... \n20 [0.1773504784079309, 0.5927812800346464, 0.316... \n\n age age_all \\\n4 [1, 1, 1, 1, 1] [1, 1, 1, 1, 1, 1, 1, 1, 1] \n8 [2, 2, 2, 2, 2, 1] [2, 2, 2, 2, 2, 2, 2, 2, 2, 1] \n12 [3, 3, 3, 3, 3, 2] [3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 1] \n16 [4, 4, 4, 4, 4, 3, 1] [4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 1] \n20 [5, 5, 5, 5, 5, 4, 2, 1] [5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1] \n\n conviction_all \\\n4 [116.18441536758503, 854.2417126750619, 700.42... \n8 [451.8751555038232, 1688.1153131002907, 1310.4... \n12 [753.259331565039, 2964.399265844883, 1844.292... \n16 [1969.4063629505602, 4305.872236126417, 2530.9... \n20 [2541.809178250938, 7083.611417309467, 3832.67... \n\n triggers_all \\\n4 [14332.969734091617, 11950.022253643614, 12125... \n8 [14332.878756984499, 11949.997176908466, 12125... \n12 [14332.782564524434, 11949.97066245076, 12125.... \n16 [14332.480710213651, 11949.887458268815, 12125... \n20 [14332.124734416684, 11949.789333589362, 12125... \n\n conviction_share_of_trigger_all \n4 [0.008106095074716801, 0.07148452902793548, 0.... \n8 [0.03152717351241262, 0.14126491313004777, 0.1... \n12 [0.05255499608495124, 0.24806749318302754, 0.1... \n16 [0.13740861772429364, 0.3603274299580902, 0.20... \n20 [0.1773504784079309, 0.5927812800346464, 0.316... \n\n[5 rows x 30 columns]", "text/html": "
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fundsnetworkrunsentimentsimulationsubstepsupplytimestepconvictioncandidate_count...funds_requestedshare_of_funds_requestedshare_of_funds_requested_alltriggersconviction_share_of_triggerageage_allconviction_alltriggers_allconviction_share_of_trigger_all
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" }, "metadata": {}, "execution_count": 22 } ], "source": [ "df.head(5)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "" }, "metadata": {}, "execution_count": 23 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "df.plot('timestep','sentiment')" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "" }, "metadata": {}, "execution_count": 24 }, { "output_type": "display_data", "data": { "text/plain": "
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wkoLp378//fv3D3UYBwlmN4LOJGQ/M+OaXi34zyWd+W1jGue+8B0Lf09lX2Y2+zKz2ZuZRXpG4MeefVns3pfJn3szSUvPYGd6Bqm7M9i9LzPUTZPDiIuLY+vWrUH9YJHQcc6xdetW4uKC8wVPHdeSr4W/p3L1uDlsCNJdTw3jK9GmQTXaNKi+/9GgxoFf4pxfQ4fLUwYQHRlBTJS+05SEjIwMUlJS8ty7L+VXXFwcjRo1Ijo6+qDyonRcK0lIQJt2pjNp3u9kZmUfdCki56mR9/KEGUSY956Zd3aSnpHFso1pLNmwk1Vb/iSrCB3jMZERXNWjOTf2PZbKMbpKKlIURUkS+muTgOpVj+PaXi2Cus/0jCyW/7GLJRt2snnXXi+R+MnmQPI5IKds8fqdvDRzJf+d9zvDB7TljHZH6Rq6SCnQmYSUG7OTtzH8vwtZujGNHi3r8ODA4zmmbtVQhyVSbpTo5SYziwTmAL875waYWXNgPFAL+AW41Dm3z8xigXFAZ2ArMMQ5l+zv4x7gSiALuNk5N8UvPwN4DogEXnXOHXGWMSWJiikzK5u3flzD01/9RnpmFqceVz9PX4XD67zb/9N5/RvZ/u96zm98zq9+8zqVua73sdSqElNq7RAJhZJOErcBiUB1P0l8AExyzo03s5eBX51zo83seqC9c+5aM7sIGOScG2JmbYH3gC7A0cA0oJW/+9+A04EUYDbwV+fc4sPFoyRRsW1KS+epKcv4efW2fC87GezvEzG8NTdyV8u9zW9/pFElJpJ/nN6KS7o1JTpSHeQSnkqsT8LMGgFnA48At5n3F9YX+Jtf5U1gBDAaOMd/DjABeMGvfw4w3jm3F1htZivwEgbACufcKv9Y4/26h00SUrHVqxbHkxcEZ76a3/5I46FPF/PgJ4t556e13D+gLT1b1Q3KvkXKu4J2XD8L3AlU81/XBnY453JugE8Bcib9aQisA3DOZZpZql+/IfBjrn3m3mbdIeVd8wvCzIYBwwCaNGlSwNBFDq9V/WqM+3sXpi3ZxMOfLeay13/mtDb16OUnitzn2rlPvHOfhUdHRRBfKYb4ytHUqBRNfOVo4ivHEB2Z9ywn0owona1IOXHEJGFmA4BNzrm5ZtY7pzifqu4I7wUqz++vJd9rYM65McAY8C43HSZskUIxM05vW5+ereow9rtkRk1fwbQlJTONekxUBLf3a8VVpxyj5WalzCvImcTJwEAzOwuIA6rjnVnEm1mUfzbRCFjv108BGgMpZhYF1AC25SrPkXubQOUipSo2KpJrerVg6EnN2LX3wEjxg2/LtTzlezOzSd2TwY7d+9ixxxtpvn33PjLzGRMyb+0OHv18KT+t2sZTF3agpjrMpQw7YpJwzt0D3APgn0nc7py72Mw+BC7Au8NpKPCxv8lk//UP/vvTnXPOzCYD75rZ03gd1y2Bn/H+zlr6d0v9DlzEgb4OkZCIi44s9Kp9R9Uo2DQIzjnG/bCGRz5bwtnPf8uov3Wic9OaRQlTpMQV58LoXXid2Cvw+hxe88tfA2r75bcBdwM45xYBH+B1SH8J3OCcy/LPRG4EpgBLgA/8uiJhycwYelIzJlzXnchIY8h/fuCVb1Zp7iQpkzSYTiSEUvdkcNeE+Xy5aCOt6lelaqx3cu+N8QjQOQdERxidm9Wkb+t6dG5aUx3hUiCau0mkHHLO8fZPa5mycCNAnvEc+XVt79qbya/rdpCZ7agWF0XPVnXp27oefY+rpz4OCUhJQqQCSUvPYNbyLcxYtokZyzazOW0v1eOiePuqrrRvFB/q8KQMUpIQqaCysx3zf0/lpvd+YcfuDN6+sisdGitRyMG0xrVIBRURYSQ0jmf8sO7EV47mktd+ImndjlCHJWFASUIkjDSMr8T4Yd2pWTmGS1/9iXlrt4c6JCnnlCREwoyXKLpRs0oMl732M78oUUgxqE9CJExtSN3DRWN+ZOuufVx+UrMDU4DkmjLdu83Wke0OPMefVj2nLNs5nHNk+WXZ2Y6sbO+1Nw173s+Q/Oa7CvRJk3ta9+zs3Md23rFh/+ucGF2ueA/3EebyebF/+4OOnX87AGpWieEfp7UKiz4edVyLyEE2pO7h8tdns+yPtDzveasCHphG3fAKDIiMOHiKdTMjMsKIMCPCOPA8wquTn/ymMgk0U5W37K3tP17unxH+vO8RueI9EP+BmAM56JbiXKsg5myfe0r5/JqyaP1Otuzay0UnNuaO/seV63VHtHypiBykQY1KfHlrj/2vteRr4aWlZ/DctOW88X0yXyzcyB39W3PRiU2IrCCTMypJiIQ5JYbiqRYXzb8GtGXwiY25/+OF3PfRQsb/vI7BJzYm8pB/2wOXwnJfMjuwKiLkuqy3/3kBL50FeDO/y3nBvECkJCEiUgCt6lfjvau78cn8DTzy2WKG/3dhqEMqFUoSIiIFZGYM7HA0Zxx/FNt37wtQx+9T4UA/C3agDyhnP5arfk7fSO7Xgfadb3mu/R5allvkE4drXf6UJERECikmKoL61Qs2NXx5p3ESIiISkJKEiIgEpCQhIiIBKUmIiEhAShIiIhKQkoSIiASkJCEiIgEpSYiISEBKEiIiEpCShIiIBKQkISIiASlJiIhIQEoSIiISkJKEiIgEpCQhIiIBKUmIiEhAShIiIhKQkoSIiASkJCEiIgFpjWsRkfIoOwt+fAnW/liih1GSEBEpb3asg0nDYO33ULslRMWW2KGUJEREypOFk+DTW70ziUH/gfZDwKxg215fwHq5KEmIiJQHe3fBF3dB0tvQMBHOfwVqHVPihz1ikjCzOOAbINavP8E594CZNQfGA7WAX4BLnXP7zCwWGAd0BrYCQ5xzyf6+7gGuBLKAm51zU/zyM4DngEjgVefc40FtpYhIWeYcbF0B636G9fMgY0/eOmu+g+3J0ON26H03REaXSmgFOZPYC/R1zu0ys2hglpl9AdwGPOOcG29mL+N9+I/2f253zh1rZhcBTwBDzKwtcBFwPHA0MM3MWvnHeBE4HUgBZpvZZOfc4iC2U0SkbNm6EhZNgnWzIWU27NnmlcdW9x6HqlwTLv8Ump1SqmEeMUk45xywy38Z7T8c0Bf4m1/+JjACL0mc4z8HmAC8YGbml493zu0FVpvZCqCLX2+Fc24VgJmN9+sqSYhIeEr7A17vD39uhrrHwXFnQ+Mu0KgL1GkFEWVndEKB+iTMLBKYCxyL961/JbDDOZfpV0kBGvrPGwLrAJxzmWaWCtT2y3Pfq5V7m3WHlHcNEMcwYBhAkyZNChK6iEjZkp0NHw3z+hiu+x7qHx/qiA6rQOnKOZflnEsAGuF9+2+TXzX/Z37d564I5fnFMcY5l+icS6xbt+6RAxcRKWu+fx5WzYQzHivzCQIKOeLaObcDmAl0A+LNLOdMpBGw3n+eAjQG8N+vAWzLXX7INoHKRUTCS8ocmP4QtD0XOl8e6mgK5IhJwszqmlm8/7wScBqwBJgBXOBXGwp87D+f7L/Gf3+6368xGbjIzGL9O6NaAj8Ds4GWZtbczGLwOrcnB6NxIiJlRnoqTPg7VDsa/vJcwcc2hFhB+iQaAG/6/RIRwAfOuU/NbDEw3sweBuYBr/n1XwPe8jumt+F96OOcW2RmH+B1SGcCNzjnsgDM7EZgCt4tsK875xYFrYUiIqHmHHz6D0hNgSu+gErxoY6owMz7kl/+JCYmujlz5oQ6DBGRI/vlLZh8I/T9F/S8I2RhmNlc51xiYbYpO/dZiYiEoy3L4Ys7oVkPOOW2UEdTaEoSIiIlaer9EBEF570CEZGhjqbQlCREREpKylxY9jmcdBNUbxDqaIpESUJEpKRMfwgq14Zu14U6kiJTkhARKQnJs2DVDDjlHxBbLdTRFJmShIhIsDkH0x+GqkfBiVeFOppiUZIQEQm2FV/D2h+g5+0QXSnU0RSLkoSISDA55/VF1GgCnYYeuX4ZpyQhIhJMSz+FDUnQ+y6Iigl1NMWmJCEiEizZWTD9EajdEtpfFOpogkJrXIuIBMvCSbB5CVzwOkSGx8erziRERIIhKxNmPgr120HbQaGOJmjCI9WJiITako9h2yoY8naZWn60uMKnJSIioeIcfD8KarWA1meHOpqgUpIQESmuNd/D+nnQ/fqwOosAJQkRkeL74QWoVAs6/C3UkQSdkoSISHFsWQHLvvCm34ipHOpogk5JQkSkOH58ESJjoMvVoY6kRChJiIgU1Z9bIOldaD8YqtYLdTQlQklCRKSoZr8GmenQ/cZQR1JilCRERIoiIx1mvwLHng71jgt1NCVGSUJEpCjmvw9/bvaWJg1jGnEtIpKdBYs+gj3b874XUwUad4Vax4CZXz8bfngRjjoBmvcs3VhLmZKEiFRsOzfAxKtgzazD16vWAJqeDM1O9l5vWQaDxhxIHGFKSUJEKq4VX8OkYZCxG855CVr2y1tn91ZY+723ZnXyLFg4wSuvdjS0O6904w0BJQkRqXiyMmHmY/Dtv6HucXDh2MCdz1Xreu8l/t2bo2nbKljzHdRrC5HRpRp2KChJiEjFsnMDTLzS+6DveAmc+X8FHyltBrVbeI8KQklCRCqOdT/D+Ith3y4492VI+GuoIyrzlCREpGJIehc+uQWqN4Shk6Fem1BHVC4oSYhIeMvOgqn3ezO1Nu8JF74JlWuFOqpyQ0lCRMJXeipM+DusmAZdhkH/RytEZ3MwKUmISPjIyoDUFNie7D1+fMm7G2nAs5B4RaijK5eUJESkbMrcCzvWwrbVsH21/zPZ63Q+VHYW7EyB1N/BZR0or1IPLvsYmp1SamGHGyUJEQmd376Cj6/3LgsdKisDcAdeR1eGms0gLj5vXYvwps5o3wzim3r1ajaD6kdDRGSJhF5RKEmISGjMfRM+/Yc3KK3jJXnfj4rzP+ybez+r1gv7KTDKIiUJESldznmjnf/3BBx7mjfaObZaqKOSAI44VbiZNTazGWa2xMwWmdktfnktM5tqZsv9nzX9cjOz581shZnNN7NOufY11K+/3MyG5irvbGYL/G2eN9PXBZGwlJUBH9/gJYiOl8BfxytBlHEFWU8iE/inc64N0A24wczaAncDXzvnWgJf+68BzgRa+o9hwGjwkgrwANAV6AI8kJNY/DrDcm13RvGbJiJlyt40eHcwJL0Dve+BgS/odtRy4IiXm5xzG4AN/vM0M1sCNATOAXr71d4EZgJ3+eXjnHMO+NHM4s2sgV93qnNuG4CZTQXOMLOZQHXn3A9++TjgXOCL4DRRRErFzvWweDIs/i+sT+KgTmeA7EzvUtPAF6DTpSEJUQqvUH0SZtYM6Aj8BNT3EwjOuQ1mlrMKeENgXa7NUvyyw5Wn5FOe3/GH4Z1x0KRJk8KELiIlYed6WPKJt2DP2h8BB/WO98Yk5HeW0OoMaHpSqYcpRVfgJGFmVYGJwK3OuZ2H6TbI7w1XhPK8hc6NAcYAJCYm5ltHRErAtlWwauaBQWo5j5xbV+u1hT73QttzoW6rkIUpwVegJGFm0XgJ4h3n3CS/+A8za+CfRTQANvnlKUDjXJs3Atb75b0PKZ/plzfKp76IlAXpO+GVvt7SnpExB8YhNOoCtZp7dyjVbR3qKKWEHDFJ+HcavQYscc49neutycBQ4HH/58e5ym80s/F4ndSpfiKZAjyaq7O6H3CPc26bmaWZWTe8y1iXAaOC0DYRCYbZr3gJYuin3vKdEQW530XCRUHOJE4GLgUWmFmSX3YvXnL4wMyuBNYCF/rvfQ6cBawAdgNXAPjJ4CFgtl9vZE4nNnAdMBaohNdhrU5rkbJg7y74/gVo2R+a9wh1NBICBbm7aRb59xsAnJpPfQfcEGBfrwOv51M+B2h3pFhEpJTNeQ32bINed4Y6EgkRnTeKSP727YbvR0GLvtAoMdTRSIgoSYhI/uaOhT83Q0+dRVRkShIikldGOnz3HDTrAU27hzoaCSElCRHJa95bsGsj9Lor1JFIiClJiMjBMvfCrGegSXct1iNKEiJyiKR3YOfv3h1NmpC5wlOSEJEDsjLg22eg0YlwTJ9QRyNlgJKEiHgy9sC0EZC61rujSWcRglamE5HsbFjwIXw9EnamwAkXQsvTQx2VlBFKEiIV2epv4at/wYYkaNABBo3bcdO6AAARlklEQVSG5j1DHZWUIUoSIhXR3jSYdA0s+wyqN4JBY7wzCE3eJ4dQkhCpiKY9CMs+h1Pvh27XQ3SlUEckZZSShEhFs242zH4Vul4DPf4Z6mikjNO5pUhFkpUBn9wM1Y+Gvv8KdTRSDuhMQiTY0jbC0k9h2Rewe1ve92OqeB/QTbqVfmzfj4JNi+Gi9yC2WukfX8odJQmRYNi+BpZ84j3W/QQ4qNUCah2Tt+7mpfDGWV5/wEk3F6yzODvbm0spZ23pPzd7A94adYHIAv4Zb1sF/3sC2gyE484qROOkIlOSECmO7Gz47B/etNoAR50Afe6FNn+BusflPyAtfSdMvgmmPQBrvoNB/4HKtQ7ZbxasmgFJ78LGBV4Sytqbd19xNaDFqdCynze2oUqd/ON0Dj79h7dG9ZlPFqvJUrEoSYgUlXPeGIO5Y6HLNdDt2vzPHA4VVx0uHOt1Hk+5F14+BS54A5p0hdQUmPe290hdB5VrQ9OToFV/qNnMfzSHuHhYMwuWfwXLp8KiSYBB467Q8RJod553WSvH/Pdh1Uw4+99QvUFJ/GtImDJvtdHyJzEx0c2ZMyfUYUh5l7kPXFbRbgH95v9g+sNegjjziaJNY7E+CT4cCjvWeX0Ua773ylv0gU6XQeuzICr28PvIzoaN872EsWACbFkGMdXghPOh01CIbwovngi1j4UrvtRYiArMzOY65wq1zKCShFRM2VnepZwZj3iXf3r+E7rdANFxBdt+9qvw2T+h/RA49+XiffCmp3r7+v0XaHe+dyZQs2nR9uWc1yfyyzhYOAky93hnHft2wTXfQv22RY9Tyj0lCZEjcQ5WfA1T74dNi6BhIlSt5w0sq9kc+j8Krc88/FnBggkw8SpodQYMeQsio0sv/sJIT/XmZPr1fWg7EE66KdQRSYgpSUj58OdW+PpBWPtjwbeJreoN/Gp9VtFnJ90wH6YO967N12wGp42Atud6+1vxNXx5j3eppkVfOONxqNs67z6WT4X3LvKu/V8yUSOVpVxRkpCyzTn49T2Ych/s3endkRMZU7BtNy2GLb9525zxONRuUbDtMtK9MQvz3vKSQ6Wa3pKciVdC1CHHzsqAn1+BmY9Dxp9eIjnUjnVe8rj8U+/OIpFyRElCyq4ty71bMJO/9b6FD3i2cNfHszLg5zEw4zHvVtCTb4VT/gExlfOvv3EB/PKWd1dP+g6o0QQ6XQpdhkGl+MMfa9dm+P452Lk+73txNaD3vVC1bsFjFykjlCSk7MncB7Oehm//7V2aOX0kdLys6B29aRvhq+Gw4AOIb+Lta18a7NnujW7es8MbdLZ1hXeW0uYv0PFSaN5Ld/VIhackIWVL5l744DL47UtvGur+j3qdxMGQPAs+ux02L/GSQaVa3qWkyv7PZj2g/eC8g9REKrCiJAkNppOSkbkX3r8Ulk/xBnCdeFVw99/sFLj+B8jYDdGVtdSmSAlRkpDgy50gBjwDiX8vmeOYHTyqWESCTklCgisjHT641Bv9O+BZSLwi1BGJSDEoSUjwZKTD+xfDimnwl+eg8+WhjkhEiklJQoIjO8s7g1gxDf7yPHQeGuqIRCQIdE+gBMe8t7xLTGc9pQQhEkaUJKT4dm+DaQ9C05ODfxeTiISUkoQU3/SHvMnkzvo/3YoqEmaUJKR41s+DOW94013UPz7U0YhIkB0xSZjZ62a2ycwW5iqrZWZTzWy5/7OmX25m9ryZrTCz+WbWKdc2Q/36y81saK7yzma2wN/meTN9FS03srO9Uc9V6kKfe0IdjYiUgIKcSYwFzjik7G7ga+dcS+Br/zXAmUBL/zEMGA1eUgEeALoCXYAHchKLX2dYru0OPZYEU3aW9wiGpHfg9znefEyaEVUkLB3xFljn3Ddm1uyQ4nOA3v7zN4GZwF1++TjnTQj1o5nFm1kDv+5U59w2ADObCpxhZjOB6s65H/zyccC5wBfFaZQc4s8t3q2py7/y1k3IzvSWymzWw3s06ACRhbwbes92mPaAN6Nr+yElE7eIhFxRx0nUd85tAHDObTCznFnbGgLrctVL8csOV56ST7kUhHOwaBLMfMJbp7lKXe9RtR5UqeeVrfgafp8LOK/suAHemsnJs7wPeYDY6tCku7fOQqPOBTv29Ee8RHHWU5pdVSSMBXswXX79Ca4I5fnv3GwY3qUpmjRpUpT4wsempfDFHbD6GzjqBG+R+12bYfNSryx9B2DQsBP0vgdang4NEg7+QE/7w1vfIXkWLPsCxp4F546Gducd/tgb5sOc17yFexq0L9FmikhoFTVJ/GFmDfyziAbAJr88BWicq14jYL1f3vuQ8pl+eaN86ufLOTcGGAPeVOFFjL1825sG/3sCfhwNMVW9GVY7XwERkQfXy9znLc4TWy3wvqrVhxMu8B59/wXjL4YJV3hrMfS8I+/trNnZ3joOUx/wpuPue1/w2yciZUpRrxNMBnLuUBoKfJyr/DL/LqduQKp/WWoK0M/Mavod1v2AKf57aWbWzb+r6bJc+5JDLZ8GL5wI34+CDn+Fm+Z6g9cOTRDgLc15uARxqCp1YOhkr39hxiMwaZg3F1OO33+B1/vDR9dA9aPhkkleohCRsHbEMwkzew/vLKCOmaXg3aX0OPCBmV0JrAUu9Kt/DpwFrAB2A1cAOOe2mdlDwGy/3sicTmzgOrw7qCrhdVir0zo/f27xvuVXbwiD34LGJwb/GFGxMOg/UKclTH8YdqyFvzwLP7wI8972+jvOeRE6/E39ECIVhFamKy8+ux3mvA7XfQ/1jiv54y2cBP+9DjLTISIKul0HPe+EuOolf2wRKRFamS5cbV7mJYjEK0onQYDXeR3f1BsL0fVaqNuqdI4rImWKkkR58NVwbwW23qU8qrlR54LfEisiYUkXlsu6ldO9ZUB73u51LouIlCIlibIsOwum/Mu77NPlmlBHIyIVkC43lWXz3oZNi+DCsRAdF+poRKQC0plEWbU3zbsNtXFXaHtuqKMRkQpKZxJl1axn4c9N8Nf3tJCPiISMkgR4E+VtXw1rf4Kty73XxVGrOXS8tOgf7tuT4YcX4IQLoVGhbmkWEQmqipsk/lgMq2bC2h9g3U+w6w+v3CLBinMVznlTcUfFQfvBhd986ecw+UZvANupDxQjDhGR4quYSWLldHjrPMBBfBNo3stbX6FJN6jbpnhTTmRnwWv94Mu74djToHKtgm23bzd8dZ83aO6oE+D81yC+8ZG3ExEpQRUvSezdBZ/c4k2tfdnHUCPIy1dERMJfnoMxveCrf8G5Lx15mw2/wsSrYMtvcNLN3oysUbHBjUtEpAgq3t1NMx7xJq4bOCr4CSLHUe28D/ukd2DV/wLXcw6+ex5eOdW7m+myj6HfQ0oQIlJmVKwksW62tw7DiVdB0+4le6xed0LN5vDprZCxJ+/7Gekw6WqYOhxa9fcm7jumd8nGJCJSSBUnSWTug8k3eWshlEaHcHQlGPAMbFsF3zx18Ht/boFx58CCD+HU+2HI2wXvuxARKUUVJ0nMeho2L/E+uEtruusWfbzFgb571rubCmDzb/DqqbAhyRtJ3eOfGgchImVWxUgSm5Z43+bbXeBd2ilN/R6B2OpeZ/mqmfDaabDvTxj6KRw/qHRjEREppPBPEtlZ3mWm2Gpw5hOlf/wqteGMxyDlZ+8SU7UGcNXXJbOynIhIkIXPLbA71sLyqeCyDy7ftBhSZsN5r4Ruqu32Q2D5V5C517slNq5GaOIQESmk8p8ksjLhx5dgxqOQmc9dRABtBnpTXISKGVzweuiOLyJSROU7Sfz+C3xyM2xcAK3OhNNHQqWaeetVqaPOYRGRIii/SWLn795dQlXqweBx3tmCEoGISFCV3ySxaxN0vgVOe0DX+EVESkj5TRJ1WsGAp0MdhYhIWCu/t8DGVAl1BCIiYa/8JgkRESlxShIiIhKQkoSIiASkJCEiIgEpSYiISEBKEiIiEpCShIiIBKQkISIiAZlzLtQxFImZbQbWhDqOIKkDbAl1ECUo3NsHamO4CPc2tnbOVSvMBuV2Wg7nXN1QxxAsZjbHOZcY6jhKSri3D9TGcBHubTSzOYXdRpebREQkICUJEREJSEmibBgT6gBKWLi3D9TGcBHubSx0+8ptx7WIiJQ8nUmIiEhAShKlyMxeN7NNZrYwV1ktM5tqZsv9n/ks0l1+mFljM5thZkvMbJGZ3eKXh007zSzOzH42s1/9Nj7olzc3s5/8Nr5vZjGhjrU4zCzSzOaZ2af+63BrX7KZLTCzpJy7fsLp9xTAzOLNbIKZLfX/JrsXto1KEqVrLHDGIWV3A18751oCX/uvy7NM4J/OuTZAN+AGM2tLeLVzL9DXOdcBSADOMLNuwBPAM34btwNXhjDGYLgFWJLrdbi1D6CPcy4h122v4fR7CvAc8KVz7jigA97/z8K10TmnRyk+gGbAwlyvlwEN/OcNgGWhjjHI7f0YOD1c2wlUBn4BuuINworyy7sDU0IdXzHa1cj/AOkLfApYOLXPb0MyUOeQsrD5PQWqA6vx+56L2kadSYRefefcBgD/Z70QxxM0ZtYM6Aj8RJi1078UkwRsAqYCK4EdzrlMv0oK0DBU8QXBs8CdQLb/ujbh1T4AB3xlZnPNbJhfFk6/p8cAm4E3/MuGr5pZFQrZRiUJKRFmVhWYCNzqnNsZ6niCzTmX5ZxLwPvG3QVok1+10o0qOMxsALDJOTc3d3E+Vctl+3I52TnXCTgT77Joz1AHFGRRQCdgtHOuI/AnRbh8piQRen+YWQMA/+emEMdTbGYWjZcg3nHOTfKLw66dAM65HcBMvP6XeDPLmeqmEbA+VHEV08nAQDNLBsbjXXJ6lvBpHwDOufX+z03AR3jJPpx+T1OAFOfcT/7rCXhJo1BtVJIIvcnAUP/5ULxr+OWWmRnwGrDEOfd0rrfCpp1mVtfM4v3nlYDT8DoEZwAX+NXKbRudc/c45xo555oBFwHTnXMXEybtAzCzKmZWLec50A9YSBj9njrnNgLrzKy1X3QqsJhCtlGD6UqRmb0H9MabafIP4AHgv8AHQBNgLXChc25bqGIsLjM7BfgWWMCB69n34vVLhEU7zaw98CYQifdF6wPn3EgzOwbvm3ctYB5wiXNub+giLT4z6w3c7pwbEE7t89vykf8yCnjXOfeImdUmTH5PAcwsAXgViAFWAVfg/85SwDYqSYiISEC63CQiIgEpSYiISEBKEiIiEpCShIiIBKQkISIiASlJSIXlz5B5vf/8aDObUILHSjCzs0pq/yIlRUlCKrJ44HrwRt865y44Qv3iSACUJKTc0TgJqbDMbDxwDt6smMuBNs65dmZ2OXAu3mC5dsC/8QYjXYo3TfhZzrltZtYCeBGoC+wGrnbOLTWzC/EGSmYBqXgjslcAlYDfgcfwZlYdBZyAN5hrhHPuY//Yg4BYoDneIK8HS/ifQiSgqCNXEQlbdwPtnHMJ/oy1n+Z6rx3eDLZxeB/wdznnOprZM8BleHMZjQGudc4tN7OuwEt48xzdD/R3zv1uZvHOuX1mdj+Q6Jy7EcDMHsWb7uLv/hQfP5vZNP/YXfzj7wZmm9lnzrk5JfkPIRKIkoRI/mY459KANDNLBT7xyxcA7f1Zbk8CPvSmqwK8b/8A3wFjzewDYBL564c3id7t/us4vGkSAKY657YCmNkk4BRASUJCQklCJH+55yTKzvU6G+/vJgJvfYWEQzd0zl3rn1mcDST58+ccyoDznXPLDir0tjv0GrCuCUvIqONaKrI0oFpRNvTXyFjt9z9gng7+8xbOuZ+cc/fjrebWOJ9jTQFu8mfNxcw65nrvdH8d4kp4fSPfFSVGkWBQkpAKy7+k852ZLQT+rwi7uBi40sx+BRbhdYID/J+ZLfD3+w3wK940223NLMnMhgAPAdHAfL/eQ7n2Owt4C0gCJqo/QkJJdzeJlCH+3U37O7hFQk1nEiIiEpDOJEREJCCdSYiISEBKEiIiEpCShIiIBKQkISIiASlJiIhIQEoSIiIS0P8DZXTIywmxi7AAAAAASUVORK5CYII=\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "df.plot('timestep',['funds', 'candidate_funds'])" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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}, "metadata": { "needs_background": "light" } } ], "source": [ "affinities_plot(df)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "" }, "metadata": {}, "execution_count": 26 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "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": 27, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "" }, "metadata": {}, "execution_count": 27 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "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": 28, "metadata": {}, "outputs": [], "source": [ "nets = df.network.values" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" }, "metadata": {} } ], "source": [ "K = 55\n", "N = 56\n", "\n", "snap_plot(nets[K:N], size_scale = 1/10,savefigs=True)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "# df.conviction_share_of_trigger.apply(max).plot()\n", "# df.conviction_share_of_trigger.apply(np.median).plot()\n", "# df.conviction_share_of_trigger.apply(min).plot()\n", "# plt.gca().set_ylim(0,1)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "# df.age.apply(max).plot()\n", "# df.age.apply(np.median).plot()\n", "# df.age.apply(min).plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "\n", "We have created a simplified conviction voting model that illustrates the state objects, and provides descriptions of how the model fits together. In subsequent notebooks, we will expand the model to introduce additional complexity to more fit real world implementations. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.5" } }, "nbformat": 4, "nbformat_minor": 2 }