{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "$$\n", "\\newcommand{\\mat}[1]{\\boldsymbol {#1}}\n", "\\newcommand{\\mattr}[1]{\\boldsymbol {#1}^\\top}\n", "\\newcommand{\\matinv}[1]{\\boldsymbol {#1}^{-1}}\n", "\\newcommand{\\vec}[1]{\\boldsymbol {#1}}\n", "\\newcommand{\\vectr}[1]{\\boldsymbol {#1}^\\top}\n", "\\newcommand{\\rvar}[1]{\\mathrm {#1}}\n", "\\newcommand{\\rvec}[1]{\\boldsymbol{\\mathrm{#1}}}\n", "\\newcommand{\\diag}{\\mathop{\\mathrm {diag}}}\n", "\\newcommand{\\set}[1]{\\mathbb {#1}}\n", "\\newcommand{\\cset}[1]{\\mathcal{#1}}\n", "\\newcommand{\\norm}[1]{\\left\\lVert#1\\right\\rVert}\n", "\\newcommand{\\pderiv}[2]{\\frac{\\partial #1}{\\partial #2}}\n", "\\newcommand{\\bb}[1]{\\boldsymbol{#1}}\n", "\\newcommand{\\E}[2][]{\\mathbb{E}_{#1}\\left[#2\\right]}\n", "\\newcommand{\\ip}[3]{\\left<#1,#2\\right>_{#3}}\n", "\\newcommand{\\given}[]{~\\middle\\vert~}\n", "$$\n", "\n", "# CS236605: Deep Learning\n", "# Tutorial 8: Geometric deep learning" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Introduction\n", "\n", "In this tutorial, we will cover:\n", "\n", "- Filters on graphs\n", "- Graph Laplacians and their meaning\n", "- Graph convolution layers\n", "- Application: semi-supervised node classification" ] }, { "cell_type": "code", "execution_count": 104, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "running on: cpu\n" ] } ], "source": [ "# Setup\n", "%matplotlib inline\n", "import os\n", "import sys\n", "import math\n", "import time\n", "import torch\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "plt.rcParams['font.size'] = 20\n", "data_dir = os.path.expanduser('~/.pytorch-datasets')\n", "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", "print(f'running on: {device}')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Theory Reminders: Non-Euclidean domains" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "So far we have heavily utilized convolutional layers in our deep learning models." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Convolutional layers operate on an input tensor $\\vec{x}$ containing $M$ feature maps.\n", "The $j$-th feature map of the output tensor $\\vec{y}$ can be written as\n", "\n", "$$\n", "\\vec{y}^j = \\sum_{i=1}^{M} \\vec{w}^{ij}\\ast\\vec{x}^i+b^j,\n", "$$\n", "\n", "where $\\ast$ denotes convolution, and $x^i$ is the $i$-th input feature map.\n", "\n", "Convolutional layers have some important advantages:" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "- Number of parameters not dependent on the input dimensions.\n", "- Parameters shared across the spatial dimensions of the input.\n", "- Output dimension changes based on input dimension." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Convolution in the time and frequency domains" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Let's dig deeper into convolutions and what they do. Recall the definition of convolution:\n", "\n", "$$\n", "\\left\\{\\vec{w}\\ast\\vec{x}\\right\\}_j = \\sum_{i} w_{j-i} x_{i}.\n", "$$\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "This is a **linear** operator, which can therefore be represented simply as a matrix multiplication.\n", "\n", "Moreover, it's **shift-equivariant** meaning that a shifted input will result in an output shifted by the same amount.\n", "Due to the shift-equivariance, the matrix representing a convolution is always a **Toeplitz** matrix.\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "From linear algebra we know that a linear operator can sometimes be **diagonalized** by computing it's **eigendecomposition** (if it exists), and using it's eigenvectors as a basis." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "It turns out that **all Topelitz operators** have the same basis (same eigenvectors).\n", "\n", "This is the **Fourier** basis,\n", "\n", "$$\n", "\\vec{\\phi}^{\\vec{\\xi}}_{\\vec{n}} = \\exp(j 2\\pi \\vectr{\\xi}\\vec{n}),\\text{ where } {\\vec{n}\\in\\set{Z}^d}, \\vec{\\xi}\\in[0,1]^d\\triangleq\\blacksquare,\n", "$$\n", "\n", "which is composed of discrete harmonic functions of varying continuous frequency $\\vec{\\xi}$ sampled in space at $\\vec{n}$." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "For any Toeplitz operator $\\cset{W}$, since we can change matrix-product to convolution we have, \n", "\n", "$$\n", "\\begin{align}\n", "\\left(\\cset{W}\\vec{\\phi}^\\vec{\\xi}\\right)_\\vec{n} =\n", "\\left(\\vec{w}\\ast\\vec{\\phi}^\\vec{\\xi}\\right)_\\vec{n} &=\n", "\\sum_{\\vec{m}}\\vec{w}_\\vec{m} \\exp(j 2\\pi \\vectr{\\xi}(\\vec{n-m})) \\\\ &=\n", "\\exp(j 2\\pi \\vectr{\\xi}\\vec{n})\\sum_{\\vec{m}}\\vec{w}_\\vec{m} \\exp(-j 2\\pi \\vectr{\\xi}\\vec{m}) \\\\ &=\n", "\\vec{\\phi}^{\\vec{\\xi}}_{\\vec{n}} \\ip{\\vec{w}}{\\vec{\\phi}^{\\vec{\\xi}}}{\\ell^2(\\set{Z}^d)} \\\\ &=\n", "\\vec{\\phi}^{\\vec{\\xi}}_{\\vec{n}}\\lambda_{\\vec{\\xi}}.\n", "\\end{align}\n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Thus $\\vec{\\phi}^{\\vec{\\xi}}_{\\vec{n}}$ is an eigenvector of any Toeplitz operator $\\cset{W}$,\n", "with eigenvalue $\\lambda_{\\vec{\\xi}}=\\hat{w}(\\vec{\\xi})=\\ip{\\vec{w}}{\\vec{\\phi}^{\\vec{\\xi}}}{\\ell^2(\\set{Z}^d)}$." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "We can define the **Fourier transform** $\\cset{F}$ and it's inverse in-terms of inner products with these eigenvectors.\n", "\n", "$$\n", "\\begin{align}\n", "(\\cset{F}\\vec{x})(\\vec{\\xi}) &= \\ip{\\vec{x}}{\\vec{\\phi}^{\\vec{\\xi}}}{\\ell^2(\\set{Z}^d)}\n", "= \\sum_{\\vec{n}\\in\\set{Z}^d} \\vec{x}_{\\vec{n}}\\vec{\\phi}^{\\vec{-\\xi}}_{\\vec{n}} = \\hat{x}(\\vec{\\xi}) \\\\\n", "(\\cset{F^{-1}}\\hat{x})_\\vec{n} &= \\ip{\\hat{x}}{\\vec{\\phi}^{\\ast}_{\\vec{n}}}{L^2(\\blacksquare)}\n", "= \\int_{\\blacksquare} \\hat{x}(\\vec{\\xi})\\vec{\\phi}^{\\vec{\\xi}}_{\\vec{n}}d\\vec{\\xi}.\n", "\\end{align}\n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "This means we can write any time-domain convolution in terms of frequency-domain product:\n", "\n", "$$\n", "\\begin{align}\n", "\\vec{y} = \\vec{w}\\ast\\vec{x}\n", "&= \\cset{W}\\vec{x}\n", "= \\cset{W} \\int_{\\blacksquare} \\ip{\\vec{x}}{\\vec{\\phi}^{\\vec{\\xi}}}{}\\vec{\\phi}^{\\vec{\\xi}} d\\vec{\\xi}\n", "= \\int_{\\blacksquare} \\hat{x}(\\vec{\\xi}) \\cset{W} \\vec{\\phi}^{\\vec{\\xi}} d\\vec{\\xi}\n", "= \\int_{\\blacksquare} \\hat{x}(\\vec{\\xi}) \\hat{w}(\\vec{\\xi}) \\vec{\\phi}^{\\vec{\\xi}} d\\vec{\\xi} \\\\\n", "&= \\ip{\\hat{x}\\cdot\\hat{w}}{\\vec{\\phi}^{\\vec{-\\xi}}}{L^2(\\blacksquare)} \\\\\n", "& = \\cset{F^{-1}}\\left\\{\\hat{x}\\cdot\\hat{w}\\right\\}.\n", "\\end{align}\n", "$$\n", "\n", "This result is known as the **convolution theorem**." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Graphs" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "We will focus our discussion here on Graphs, which are an interesting and useful domain for learning. \n", "They are also general enough to represent many other non-Euclidean domains,\n", "such as point-clouds and discretized manifolds." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "A graph $\\cset{G} = (\\cset{V},\\cset{E}, \\mat{A}, \\mat{W})$, can be represented with\n", "\n", "- A vertex set $\\cset{V} = \\left\\{1,2,\\dots,n\\right\\}$ \n", "- An edge set $\\cset{E}\\subseteq \\cset{V}\\times {V}$\n", "- Vertex-weight matrix $\\mat{A}=\\mathrm{diag}\\left\\{a_i\\right\\}_{i=1}^{n}$.\n", "- Edge-weight matrix $\\mat{W}$, where $W_{ij}=0\\Rightarrow(i,j)\\neq\\cset{E}$.\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Signals can be defined with the vertices or edges of a graph as their domain.\n", "An appropriate inner-product space can be defined for them." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "A **vertex signal** (field) can be defined as a function $f: \\cset{V}\\rightarrow\\set{R}$.\n", "\n", "We'll represent these as a vector $\\vec{f}\\in\\set{R}^n$, which can be thought of as a single feature map on the graph.\n", "\n", "The inner product for the space of vertex signals is\n", "$\n", "\\ip{\\vec{f}}{\\vec{g}}{\\ell^2(\\cset{V})}=\\sum_{i\\in\\cset{V}} a_i f_i g_i^\\ast .\n", "$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Similarly, an **edge signal** (flow) can be defined as an anti-symmetric function $F:\\cset{E}\\rightarrow\\set{R}$,\n", "which can be represented as a matrix $\\mat{F}\\in\\set{R}^{n\\times n}$.\n", "\n", "The space of edge signals is equipped with the inner product\n", "$\n", "\\ip{\\mat{F}}{\\mat{G}}{\\ell^2(\\cset{E})}=\\sum_{(i,j)\\in\\cset{E}} w_{ij} F_{ij} G^\\ast_{ij} .\n", "$\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "#### Graph Laplacian" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "The graph Laplacian, also known as the Laplace-Beltrami operator is a measure of **smoothness** of a a vertex field, i.e. how quickly it changes between **adjacent** vertices." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "More formally, it can be defined as an operator over vertex fields, returning a new vertex field: $\\Delta:\\ell^2(\\cset{V})\\rightarrow\\ell^2(\\cset{V})$.\n", "We can write:\n", "\n", "$$\n", "\\begin{align}\n", "(\\Delta \\vec{f})_i = \\frac{1}{a_i} \\sum_{j\\neq i} w_{ij}\\left(f_i-f_j\\right)\n", "&= \\frac{1}{a_i}\\left(\\left(\\sum_{j\\neq i} w_{ij}\\right) f_i - \\sum_{j\\neq i}w_{ij}f_j\\right) \\\\\n", "&= \\frac{1}{a_i}\\left(d_i f_i - \\sum_{j\\neq i}w_{ij}f_j\\right).\n", "\\end{align}\n", "$$\n", "\n", "Where $d_i$ is the generalized degree of node $i$ (sum of touching-edge weights).\n", "\n", "We can thus interpret the Laplacian value at a node as the weighted self-value minus weighted neighbor value, which consolidates the notion of a **smooth** function on a graph." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We can represent this operator as a Laplacian matrix $\\mat{\\Delta} = \\mat{A}^{-1}\\left(\\mat{D}-\\mat{W}\\right)\\in\\set{R}^{n\\times n}$, where $\\mat{D}$ is a diagonal degree matrix." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "#### Eigendecomposition of Graph Laplacian" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In the Euclidean domain, the **Laplacian**,\n", "$\n", "\\Delta f(\\vec{x}) = -\\mathrm{div}\\nabla f (\\vec{x})= - \\sum_i \\pderiv{{}^2 f}{x_i^2}\n", "$ is a translation equivariant operator and therefore also has a Fourier eigenbasis!\n", "\n", "For example, notice that $\\Delta e^{jkx} = - \\frac{d^2}{dx^2} e^{jkx} = k^2 e^{jkx}.$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Similarly, for a graph domain, we can compute the eigenvectors of the Laplacian matrix (which always has an eigen decomposition), and use them as a basis for representing any vertex function." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "We can write the eigendecomposition as\n", "\n", "$$\n", "\\mat{\\Delta}\\mat{\\Phi} = \\mat{\\Lambda}\\mat{\\Phi}\n", "$$\n", "\n", "where as usual $\\mat{\\Phi}$ contains the eigenvectors of $\\mat{\\Delta}$ in its columns and $\\mat{\\Lambda}$ is a diagonal matrix of eigenvalues.\n", "Note that $\\mat{\\Phi}$ is $\\mat{A}$-orthonormal, i.e. $\\mattr{\\Phi}\\mat{A}\\mat{\\Phi}=\\mat{I}$." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The eigenfunctions of the laplacian form the smoothest-possible basis function over a specific graph (they minimize the Dirichlet energy).\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Since the Laplacian eigenvectors form a basis for the space $\\ell^2(\\cset{V})$,\n", "we can represent any vertex field as a linear combination of them:\n", "\n", "$$\n", "\\vec{f}=\\sum_k \\hat{f}_k\\vec{\\phi}_k = \\sum_k \\ip{\\vec{f}}{\\vec{\\phi}_k}{\\ell^2(\\cset{V})} \\vec{\\phi}_k.\n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We can thus define the **graph-specific** Fourier basis as these eigenvectors.\n", "\n", "The Fourier transforms for a graph function is then,\n", "$$\n", "\\begin{align}\n", "(\\cset{F}\\vec{f}) &= \\hat{\\vec{f}} = \\mattr{\\Phi}\\vec{f} \\\\\n", "(\\cset{F^{-1}}\\hat{\\vec{f}}) &= \\vec{f} = \\mat{\\Phi}\\hat{\\vec{f}}.\n", "\\end{align}\n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Spectral convolution layer for graphs" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "In the Euclidean case, we have seen that applying a linear filter amounts to time-domain convolution or freq-domain product.\n", "\n", "$$\n", "\\cset{W}\\vec{f} = \\vec{w}\\ast\\vec{f}\n", "= \\cset{F^{-1}}\\left\\{\\hat{f}\\cdot\\hat{w}\\right\\}\n", "= \\cset{F^{-1}}\\left\\{(\\cset{F}f)\\cdot\\hat{w}\\right\\}.\n", "$$\n", "\n", "This result was obtained by directly using the definition of the convolution operator and the Fourier basis." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "In a non-euclidean domain, the notion of translation (shift) is undefined, so we can't easily define convolution.\n", "\n", "However, we can **define** $\\cset{W}f \\triangleq \\cset{F^{-1}}\\left\\{\\hat{f}\\cdot\\hat{w}\\right\\}$, skipping the time-domain convolution, and plug in the domain-specific definition of the Fourier transform based on the graph Laplacian:\n", "\n", "$$\n", "\\cset{W}f = \\cset{F^{-1}}\\left\\{\\hat{f}\\cdot\\hat{w}\\right\\}\n", "= \\sum_k \\hat{f}_k \\hat{w}_k \\vec{\\phi}_k\n", "= \\sum_k \\ip{\\vec{f}}{\\vec{\\phi}_k}{} \\hat{w}_k \\vec{\\phi}_k\n", "= \\mat{\\Phi}\\mat{\\hat W}\\mattr{\\Phi}\\vec{f},\n", "$$\n", "\n", "where $\\mat{\\hat W}$ is a diagonal matrix representing the filter parameters." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Based on this method for applying a filter on a graph function, we can define our Spectral CNN layer.\n", "\n", "- Input: vector-valued vertex field\n", " $\\mat{X} = (\\vec{x}^1, \\dots, \\vec{x}^m),\\ \\vec{x}^i\\in\\ell^2({\\cset{V}})$.\n", " Each vertex has $m$ associated features, i.e. our graph has $m$ feature maps.\n", "- Output: vector-valued vertex field\n", " $\\mat{Y} = (\\vec{y}^1, \\dots, \\vec{y}^{m'}),\\ \\vec{y}^i\\in\\ell^2({\\cset{V}})$.\n", " \n", "Thus,\n", "\n", "$$\n", "\\vec{y}^j = \\varphi\\left( \\sum_{i=1}^{m} \\mat{\\Phi}\\mat{\\hat{W}}^{ij}\\mattr{\\Phi}\\vec{x}^i + b^j \\right).\n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Unfortunately, this type of graph convolution layer suffers from severely inhibiting **drawbacks**." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "- Number of learned parameter depends on domain size $n$ and is not fixed.\n", "- Degree of freedom per eigenvector: potential to create very high frequency (non-smooth) filters. Recall that smoothness in frequency equates to spatial-localization.\n", "- Need to compute both directions of the Fourier transform, each time with $\\cset{O}(n^2)$ cost.\n", "- Learned filters are domain-dependent and will not generalize well (i.e. to a different graph)." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "\n", "\n", "\n", "Left: a signal $f$ on a manifold $\\cset{X}$.\n", "\n", "Middle: a spectral edge-detection filter, represented as $\\mat{W}$, is applied to $f$.\n", "\n", "Right: The same filter applied to the same function but on a different domain $\\cset{Y}$, which is an isometry of $\\cset{X}$. This causes the filter to produce completely different results." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Spatial convolution layer for graphs" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "To overcome the drawbacks imposed by the Spectral CNN layer, we will first limit our learned parameters to be smooth interpolations of the Laplacian eigenvalues.\n", "\n", "This will simultaneously address the first two drawbacks listed above.\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "We'll define our learned filter parameters as $\\hat{\\mat W}^{ij}=\\mathrm{diag}\\{\\mat{B}\\vec{\\alpha}^{ij}\\}$, where\n", "\n", "$$\n", "\\begin{pmatrix}\n", "\\hat{w}^{ij}_1\\\\\n", "\\vdots\\\\\n", "\\hat{w}^{ij}_n\\\\\n", "\\end{pmatrix}\n", "=\n", "\\begin{pmatrix}\n", "\\beta_1(\\lambda_1) & \\cdots & \\beta_q(\\lambda_1) \\\\\n", "\\vdots & \\ddots & \\vdots \\\\\n", "\\beta_1(\\lambda_n) & \\cdots & \\beta_q(\\lambda_n) \\\\\n", "\\end{pmatrix}\n", "\\begin{pmatrix}\n", "\\alpha^{ij}_1\\\\\n", "\\vdots\\\\\n", "\\alpha^{ij}_q\\\\\n", "\\end{pmatrix}.\n", "$$\n", "\n", "The $\\beta_i(\\lambda)$'s are smooth functions such as polynomials." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The number of parameters no longer depends on domain size. The use of interpolation helps ensure we get smooth spectral coefficients for our filter.\n", "\n", "How many parameters do we have in our layer now?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "$q\\cdot m \\cdot m'$. No dependence on $n$." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The second improvement comes from discarding the Fourier transform.\n", "If we select $\\beta_k(\\lambda)=\\lambda^k$, then our spatial filter is\n", "\n", "$$\n", "\\begin{align}\n", "\\mat{W} = \\mat{\\Phi}\\mat{\\hat W}\\mattr{\\Phi}\n", "&= \n", "\\mat{\\Phi}\n", "\\begin{pmatrix}\n", "\\sum_{k=1}^{q}\\alpha_k\\lambda_1^k & & \\\\\n", " & \\ddots & \\\\\n", " & & \\sum_{k=1}^{q}\\alpha_k\\lambda_n^k \\\\\n", "\\end{pmatrix}\n", "\\mattr{\\Phi}\n", "=\n", "\\sum_{k=1}^{q}\\alpha_k\n", "\\mat{\\Phi}\n", "\\begin{pmatrix}\n", "\\lambda_1^k & & \\\\\n", " & \\ddots & \\\\\n", " & & \\lambda_n^k \\\\\n", "\\end{pmatrix}\n", "\\mattr{\\Phi} \\\\\n", "&= \\sum_{k=1}^{q}\\alpha_k \\mat{\\Phi} \\mat{\\Lambda}^k \\mattr{\\Phi}\n", "= \\sum_{k=1}^{q}\\alpha_k \\mat{\\Delta}^k.\n", "\\end{align} \n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Finally, this gives us a **spatial** (Fourier-free) graph CNN layer:\n", "\n", "$$\n", "\\vec{y}^j = \\varphi\\left( \\sum_{i=1}^{m} \\sum_{k=1}^{q} \\alpha^{ij}_k \\mat{\\Delta}^k \\vec{x}^i + b^j \\right).\n", "$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Note:\n", "\n", "- The powers of the Laplacian matrix $\\mat{\\Delta}^k$ are local in $k$-rings around each node.\n", "- We're no longer relying on the Laplacian eigendecomposition, but applying a filter directly in the spatial domain.\n", "- Time complexity now depends on the graph Laplacian sparsity." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Instead of using a regular polynomial, we can generalize by applying other functions of the Laplacian. This can be written slightly more generally as\n", "\n", "$$\n", "\\mat{Y}=\\varphi\\left( \\sum_{k=1}^{q} \\beta_k(\\mat{\\Delta}) \\mat{X} \\mat{\\alpha}_k + \\vec{b} \\right).\n", "$$\n", "\n", "Where $\\mat{\\Delta}$ is the $n\\times n$ Laplacian, $\\mat{X}$ is an $n\\times m$ features matrix, and $\\mat{\\alpha}_k$ is an $m\\times m'$ weight matrix." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Application: Semi-supervised node classification" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We'll now face the problem of classifying nodes in a small social-network graph, where we only have true labels for a tiny subset of the nodes.\n", "\n", "The approach is based on [Kipf & Welling (2016)](http://arxiv.org/abs/1609.02907)." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Dataset" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We'll use a toy dataset of a small social network represented as a graph, known as \"Zachary's Karate Club\" (Zachary, W. W., J. Anthr. R., 1977).\n", "The network has two **communities** which we'll try to detect, by classifying each node as belonging to one of them.\n", "\n", "From [Wikipedia](https://en.wikipedia.org/wiki/Zachary%27s_karate_club),\n", "\n", "> A social network of a karate club was studied by Wayne W. Zachary for a period of three years from 1970 to 1972.\n", "> The network captures 34 members of a karate club, documenting links between pairs of members who **interacted outside the club**.\n", "> During the study a conflict arose between the **administrator** \"John A\" and **instructor** \"Mr. Hi\" (pseudonyms), which led to the split of the club into two.\n", "> \n", "> Half of the members formed a new club around Mr. Hi; members from the other part found a new instructor or gave up karate. Based on collected data Zachary correctly assigned all but one member of the club to the groups they actually joined after the split. \n", "> " ] }, { "cell_type": "code", "execution_count": 106, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "# NetworkX is a very useful graph library for python\n", "import networkx as nx\n", "\n", "G = nx.karate_club_graph()\n", "ID_INSTR = 0\n", "ID_ADMIN = 33\n", "ID_MEMBERS = set(G.nodes()) - {ID_ADMIN, ID_INSTR}" ] }, { "cell_type": "code", "execution_count": 107, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualize the Karate Club graph\n", "fig, ax = plt.subplots(1,1, figsize=(14,8), dpi=100)\n", "pos = nx.spring_layout(G)\n", "cmap = cmap=plt.cm.tab10\n", "node_colors = 0.4*np.ones(G.number_of_nodes())\n", "node_colors[ID_INSTR] = 0.\n", "node_colors[ID_ADMIN] = 1.\n", "node_labels = {i: i for i in ID_MEMBERS}\n", "node_labels.update({i: l for i,l in zip([ID_ADMIN, ID_INSTR],['A','I'])})\n", "nx.draw_networkx(G, pos, node_color=node_colors, labels=node_labels, ax=ax, cmap=cmap);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Since our dataset is a graph, let's also visualize it's spectrum and Fourier basis." ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Adjacency\n", "A = nx.adj_matrix(G, weight=None)\n", "A = np.array(A.todense())\n", "# Degree matrix\n", "dii = np.sum(A, axis=1, keepdims=False)\n", "D = np.diag(dii)\n", "# Laplacian\n", "L = D - A\n", "w, Phi = np.linalg.eigh(L)\n", "\n", "# Plot spectrum\n", "plt.plot(w); plt.xlabel(r'$\\lambda$');" ] }, { "cell_type": "code", "execution_count": 110, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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zG9Wqu7NKWvpa4F1geEZuzrLk9tQYE4mIfAVcpqqrFnTufezUtcvHZNSqe8qhVWttEpFFwPPAq00mDbdiisakKBFpBjysqn8Z23KAFGph1/mbl795bM3DCqunV90IfAI81W1m9vQkd9UYE4GIPAV8qqrjFnTuXffbDT8PO7BKjauOrFF7S7qk/QK8DoxsMmn4PpntawEEY8oxEfkEuHlRl1t/xxVwOiNEs81A14zcnM8S2jljjC8ikgE8r6odFnTu3QkYD9QI0XQqcH6TScO3JLSDxhhfROQh4Ps3Trl3DPAc0DNEMwV6d5uZnZPQzhljfBGRSsAPwEnzO/U6HJgMHB2i6QqgY5NJw/MS2b9UYDUQjCmnRORwoIaq5gE5hA4eAOwHjM/LzKqTsM4ZY2LRHRizoHPvg3FZQ6GCBwBtgccT1itjjG/iKhhfCLwH3Ero4AGAACPGthzQOlF9M8bEpAMwbX6nXjtxK6eECh4AHAW8u6Bz733ufnqf+8DGVCDdgDfyMrMOA66I0vYA4Lq498gYExPvpuMS3EXKjUCtKLtcu6Bz74Pi3jFjTKxaA9+9ccq924A7fbS/I879McaUzJXAf3CBhJOitG0GdIx7j1KMBRCMKb+6AW8C7YF0H+07xbU3xpiSOAlYqarr8DdGq+AyEYwxqeVKYAzQEDjGR/tz49sdY0ysRKQaLhj4Kf6vm/e5sWwBBGPKIRFpDGxR1dW4Gwo//LYzxiRO0ZMOsLFsTLnkzZnuhKtFZOPYmPLrfGCiqhZgYzksCyAYUz5158+bjjk+95kdp74YY0pARNKAC4D3vU1+x6jfMW+MSYyOwOfe8snLgE0+9rFxbEzqCQzq2zk5DAsgGFPOBMyZfhcgIzdnDvB1lN0UVxHaGJM62gBzVHWr9/uzPvb5tMmk4T/GsU/GmNgVTV+g28zs7cDL4RoGrH42Mu69Msb4JiL7A8cDRcusvgOsi7LbeuCtePYrFVkAwZjy52RgiapuCNh2E7AhTHuAf2bk5iyKb7eMMTEKzCSiyaTh84D7in4PXmZZVdcCf09U54wx0YlIdeB0IHCp5IHAvDDtAd4Gxsa7b8aYmFwEjFfv5Ntk0vDtwHWquhtCnpN3A9c3mTR8W6I7mmwS/I9hjEltIjIUmKGqxS4+eme0+uupB9R/qXW9I+qkudRothfkL3p04ddbXln+3SlJ6awxJiQRqQx8DzRT1V2Br/U69vSJVx/VvFntytXqe5t2z9r4y7JXV8x9LHfNomcS3lljTFgicinQRlWLrbzQ86jzjqySVnlu27rNqqdLejUAVV09bs0XlbcW7Dhqwq9f7UhKh40xIYnIROBOVZ0fuP3mhqcOvKB+45sb1apXdE5mzY4tC57K+3r2uNULrkp4R1OABRCMKUe8OdM/AC1VdVvQa7nA4PrVat3R4+jm43s2aPENkNdo4tMzgK6q+ksSumyMCUFEzgcuVNVbgrYfC7xVu1LVdodUq/X1+NbdrwGWN/1oREOgv6r+LRn9NcaEJiLvAg+p6oyg7QOBzbUr1ZQT92tYr3fDi14Hfrpi1v3DgQmqOiEJ3TXGhCAihwAfqmrLoO1VgW+BLkdU3/+jF0658OajatRe0fSjEeu97Sd6BRf3KRZAMKYcEZF2wI2qek3Q9nOB3qp6oYjMAtoWzasWkduByqo6NPE9NsaEIiKvAi+o6mdB298AXgPW4J6EXOVtF2AmkKmqvyW6v8aYvYnIAcBUoLkGXFCLyKHAZKAl8CTwhqp+6r12BtBXVS9NQpeNMSGISC+gpqo+ErT9DuBA3LSk71S1acBrLwBvq2puIvuaCqwGgjHlS3e8Qk1FvKyEB4F/ikg6UC2gKBu4OdZXeTcgxpgkE5EawKm4G4/A7a2AQ4APgBNw2UYAeDcnrwP7ZLqkMSnqImCc7v007j5cVsIOgsYy8A3QSEQOTFAfjTHRXQG8EbhBRGoDNwNDgAwgL2ifl4HrE9G5VGMBBGPKCRGpAnQAPgp66QpcJfcFwLHA4sAXVfV33LJSpyagm8aY6C4APlDVwqINXoDvEeBu72Yk+KYDXADhagsGGpMyQgX1j8Odb//jjdWDArOGvPE9xtvXGJNkItIQNzSXB710NzBSVf8g9Dl5GtBUROokoJspxQIIxpQfnYFPVDW/aIM3N+vfuNQqCP0FBy5Kel18u2eM8WnPkm8BzgPWqmrR8lF7jWVVXQOsBlrEvYfGmIi8aQp1veB9oIeAe7wAYX0gVP2hV4FrQmw3xiTeFewdCDwCF+wvWl451DlZcVkLVySgjynFAgjGlB/Flnzz3IpLn1zt/R4ugPAh0FFEqsWxf8aYKLwnFccAswK2pQP344KBRRoCS0Mc4mUsGGhMKricoKUYReRMoJaqTvI2hTwnq+rPwDoRaR73XhpjorkMeCto2yBgcMAqSeGur18Fro1j31KSBRCMKQdEpCZwMi5dqmjbAbi5WY8GNA13sZKPCyL8Nb49NcZEcTHwTtCc6WuBL1U1D0BEagHbw1R2/i/QxZvSZIxJnmJzpgOnIQW0CXfTARYMNCbpRORE4Fdvum/gtqYUDyocD/wYvL+qrgC2iEjT4NcqMgsgGFM+dMUt+1QYsO2fQI43N6tIyC84z8vYxYoxyVZs+oKIVAfuwmUgFGkKzCcE72nIJFxqpTEmCUTkGCBfVVcGbL4QWK6qswO2RQogvAecLyKV49RNY0x0obJ7Hwb+VRTo98ZoJVXdHuYYL7OPXV9bAMGY8uFKAr7gRORI4HzguYBtlYAqqrot1AFU9TvgIBE5LM59NcaEICL1gf1UdWHA5tuA/wQtzRjppgP2wYsVY1JMsTnT3vl3INA/qF3Yseyt0PAJrv6JMSbBvKyhvwHjA7a1B1DVKQFNGwGLIhxqHPBX73tgn2ABBGNSnIjUBY4G5gZsHgTcHzA3C0IvMRPsVeDqsu2hMcanbgTMmRaRekAP4PGgdtECCLOBI0TkkDLvoTEmIu+m4zLg7YDNPYHJqrosqF09VV0b4XAvY8FAY5LlDOAHVd0Me8bsQ7gM30ARz8neg7vPccXO9wkWQDAm9V0CvB2QStUMN1Xh7aB20W46wGUxXGnLwBmTFFdQvOjaPcDjqro1qF20ixUFXgOuKvMeGmOiaQasLgoMeDWKbgceCGp3OPBzlGPNAI4RkYPKvJfGmGiCl2G9DJivqt8HtfNzff0y+1Aw0AIIxqS+4CXfis3NChD1C8674FkMnFamPTTGRCQiGbjCiKu83xsCHYBRIZo3AJZFOeRrwNUWDDQm4YJvOvoAL6vq+qB2fs7JihfYL9MeGmMi8qYbdAH+5/1eBTcF6b4Qzf0EEL4Cjveyhis8CyAYk8JE5HCgekB19g5Aoap+FqK5ny842MeipMakiOCbjsHAQFXdHdhIRPYHtgQVTN2LVzNhJXBKWXfUGBOaiKThiiW+5/1+MC6zaHiI5n7Pya8C15RVH40xvnQAvvBqkQDcgitWvipE2+OAnyIdzAsGjsGd6ys8CyAYk9q64S0T5V24hJqbVSTSCgyBcoEOIlKtTHpojInIyxK4FHjH+/0U4Ajg/RDNw67AEMLLWDDQmERqDXxXNGcaGAAMCVOd3VcAQVV/AX4VkRZl101jTBR7snu9wP2tuGVYi/EyE9ICAg2RvIpblrnCswCCMamtG/Cm9/+XAd+r6l4XJN4SM+l+vuBUNR/4APcUxRgTfycBK1R1XcBa8f8MMQ0J/D+1BDeOO4tI1TLqpzEmsj2ZRCLSCBdQeC1M21jG8su4gqrGmDjzHqC1Bj71NvUDnlHVTSGaNwYWhti+Fy97YaOInFgmHU1hFkAwJkWJSGNcKvPqKHOzIPoSM8FeBq4vXQ+NMT4FLsPaGfhDVb8K09b3TYe3Cksu0LXUPTTGROTNme6EG3MADwL9VbUgRFsB6oSoixDOf4HzvXO9MSa+zgdyVbXAW9r8QuCZMG1jCQTCPpIZaAEEY1JX4Jzp/wP+q6rhKjrH9AWnqvOAOl6NBWNMnHhTj7oC74tIOq5S+78i7BLrxcoo9oGLFWNSQEdgqqruFJHTgTr8GUwIdiSuRokvXvbgx7gbG2NMfAUWJx8IPKiqO8O0jfWcPB64wMsMrrAqJbsDxviRl5lVA3dDfRnupL0cd+E8MSM3J2KxsfLIe3pxCdBORGoDf8etVxtOrF9w8GfhpodL1EljSmB0i4EZuIBYa0CBacAzPeYMXJrUjsVPG2C2qm4VkWuB6aoaKR3yKGCF34Or6hwROVRE6ntzqY2JuwWde6fhbnavw90sr8ctUfpGk0nD/cwVLo+uBEYHTEP6R5hpSFCyc/IoXKbh+JJ30ZjY9G2YXQ/oCZwHVMf93T47dOmA6UntWJx49Q6OB6aLSFOgOe6aJJwTgLf8Hl9Vt4vIFNwKDxNK0dWUJuG/+4xJDXmZWccAk4BjQ7z8IXBpRm5OqAJG5ZZXZG2Aqv5NRB4AflPVJyO0fwu4X1W/i+E96uHmf50U4SLImDIzusXAm4GngfSgl3YDN/aYM3B04nsVXyIyEler4GNgJnCOqv4apu0BwERVPT3G97gDqKSqQ0vbX2OiWdC5d01gHC6dP9hPQOcmk4b7DoKVByJSHZiNu5k4H7hSVcNWWxeRvripSs/F8B4CzAK6eKusGBNXfRtmn4WbPnNAiJefBO4cunRAhbo+FJEeQCNV7S8i7wFPquonEdrPA06NkKEQap8zgL6qemnpe5yaLIBgUlpeZlZlYB5uCZVwXszIzbkxQV1KCBF5FPgW+AKXIhnxy0tEvgNaxfIFl5eZVffV5d99fukRTWpWT698APAb8DrwdEZuztrSfQJjihvdYmBH3E10OIXA2T3mDJyWoC7FnZfC+D3QDLgdqKGqgyK0PxO4SVVjqk/y6qkXd/5j9843Oh7UcJf3nrOBkcC44yYNr3AZWia5FnTu/TruaXw43wGnNJk0fK/aAOWViFyKyya6C5gBXKKqSyK0HwW8oKq+v8/GthxQZeLvM147tfZxp9Wrsn9tYAtupZYnu83M9lXEzRi/+jbMPgy34k/tCM3uHLp0wBMJ6lJCiEgu0AeoB/xbVc+L0LYq8K2qNovlPb46+7ajJ6yZP+PC+ifuSJe0/YClwIvASy2nDKsQDzytBoJJdX8jcvAAoEdeZlb9RHQmEbw50xfgosIDgQeiBA+q4IKBsQQPjgFmXXN08xOqp1dugIs+NwYGAXPyMrMal/wTGBNSvyivpwF9E9GRBOoETAFqATcAj0VpH3Pa80+de//faXUPzz334GPqiMghQF3cXO23gdE/de4dnO1hTIkt6Ny7AdHXOW8OZMa/NwlVVAj1OuCzSMEDT0xjeWzLATWBSV0OanVZvSr7H407Jx+BW1pu7tiWA/5Sol4bE94tRA4eAPTt2zC7wkx3986RBwILcNN3746yy3G4rCrfZrbv07ZKWqV5Fx/W/KB0STsSN5ZPBkYAX8xs36dO7D1PPRZAMKnOz1KDlahYhYfa4lKdG+CeXL4ZsXUMS8wA5GVmCe7m4ugwTQ4HxudlZtn3gykTo1sMrIFbfSCarqNbDKwwFyv8WQj1X7g0yS1R2sd00/FT596tcFNCJEyTq4E7/B7PGB8uIPzfW6C/xbsjieJNLWqMe1rbBxgcpX0asL+qbozhbYYC7cK8Vg14c2zLAYfFcDxjovFzfX040DLeHUmgy3D1DC4GFvmY9hvTOXlm+z61cTVM9gvT5BTgWb/HS2V2g2BSXa0yblcedMc96XgY+JeqRktBjvWpZTtcNDSSJvi74TPGjxo+26UDVePZkUQRkRpAK1zB18649MVoYh3LtxP9Zu42y0IwZcjvubZmXHuRWBcB7+KCca+qarQpfjEVQh3bckBdoq+kUgO4ye8xjfFhXxzLV+AeoA0A7vXRPtZz8rW4LMBILpnZvk+4B3jlhgUQTKrz+2S9QswP9KYjtAe244qifepjt6a4JyN+nVvG7YyJZgOwzke71cC2OPclUbriKjAPAgapar6PfWJa+g1/Y/QooFEMxzQmEr/n2kVx7UViXYmrRXQVrrBcNLGek8/EZRlEE6popTEl5XcsL45rLxJERBrgVn7qAuSqqp9zbTyur9OADjEcMyXDCkuoAAAgAElEQVRZAMGkuhd8tFmBW6WhIuiEWxnhAeCfPveJNUJapYzbGRNRjzkDC4CXfDR9vsecgRWlsm933FSkY3AV6yPy0qQ3xbgiio1lk2gTgJCriAQoxN94T3kicihu6egrgKGq6ifAaedkUx74ub6eOHTpgOVx70liXIHLJOqN/+XLY5oiDFT22a7cj+WKNNfUVEAZuTkL8zKzHiGo0Imq4lY8ohDIysjNqSjVnq/EFXepFmluVl5m1om4dMYmL7fsevopdQ6dnJeZtSQjN2druH28JaJOu/WYlife2cjXKnGzY+y7MZE8gpsXHe5p+Hzg8cR1J35EpA5u2dnrgLvDBQXmdbyjMu7f5LLPzrq5wQ+bf609r+MdbYAvm01+ImwgQURqAX995/TLC07Y/+Bo3dlMBXmCZJKvyaThuxZ07p2Fm0ccbvrM/U0mDa8oNx2X41aP6QzcGa7RuFb96wM3AmcOaXJDszTkg3Gt+v/3ohmD10Q6uIhkNKl11Fn3Ne4ReF0TzqwS9N+YcMbjAoIXBG4M+DvcBPwjCf2Kl8uBycDzqrohVINpbfsJrg7ZdQVaePQjTS8+ok3dYy+Y1rbf+22mDtkd7sAiUgk4J/v4zCPOP6SJn76U+7FsGQimPPgX7kvs96INIsLybZt2TFu78saM3JwJyeta2RGRmrgCK5fj5mftJS8zS/Iysx7GLW15G9CpzYFH7l89vfLTwMK8zKyTQhy3qYgM9va5a8zKH0b7WGN6AzC2FB/HmGJ6zBm4Djgb9wRgT10PVS2YtzlvDdCux5yBm5LVvzJ2CS4Atz3cMm7zOt5xOC5D4U3gsjpVqrc6q16DxrilW9+Y1/GOYk8oRKSKiHQVkTG4ZeRO2rBrxyM++jL6uEnDwwYWjYlVk0nD38EVYCv2ZG5z/s7tH/+2+CXctJ2K4gpcGvMAVQ35oGJcq/5X4JZpywYyM2rWP/yYmofeDCwd16r/ZcHtRaS+iNwhIl8Dzy/YsuLH/MLdn0QJHgA8U6pPYkyAoUsHFAKXAk8Ae84RIsKanT9vW7vrt85Dlw6IaVWgVCUiJwIbgfOAnFBtprXtVw1XH+Ez4Pp0STunTd1jawPvANOnte13aNAxRUTOFJHhuIyjbl+tX/aIj7pl3+LO/eWaxJYtaUzy5GVmVQXa3Tf/s8c6HXzMP3vOnEAheo2qXpHsvpWEtxpCa9wXeJ2v1q2qNWjB1EMXb90wTVVDTl/Iy8y6jchzMH8Fmjaa+PR+uAufy4G1uKKM41V1k3ec84D3gMpF0eaAqPNu4NKM3Jz3yuaTGlPc6BYDj1iy7eeun62bdeP1R3btet3cQTnA06r6UbL7VhIz2/epgRtvrQEdmjelzbhf5hXuLNx9mar+GNx+Xsc70nEXES0iHPbp5p88eRsu6NIdV/x0Mm4sf6mqhT917p0GvIrLXAplPtD2uEnD15f0sxkTzoLOvQU4Y8Tib+6qmlbpuw/WLBy9cMu694CWPmt+pJz3TuufgSuEduT6XZt3D108ru38LSt/Ac4JlUk0rlX/M4HPcQVgQ9kNtLn42wcW4QKL3XEV2scCY1V1FcDYlgOOBaYBhxTtGJSRcH+3mdkhHywYU1p9G2bXBs7OXTtuZOaBF3V+bNl9XXF1uB5Idt9KYlrbfum4YMF5QPX313x35EsrplVdu2vLs6r6eph9niNyodJvgdPP+uLRE3Dn3AtxD+bGAP8rWkp9Zvs+t+OCMqGyijYB7VpOGTa3VB8wBVgAwZQ7IvIO0B/4EVcv4B+qWq6ieXmZWXVwKaAdA7cXqrKtIP+pWpWq3JmRm1MYtE9lYBkQcSmnpxd/u/TxvOmrgTeAt1Q15HzVvMysM/MLCwdXTkvbU8xl1sY12xrVrHPByZNf8FO80ZgS89L8J6hqGxFpArwMtPYRvU8pM9v36YS7gKgXuH3L7p3ba1Wq2qXllGFTg/eZ1/GOrsD7kY5boIWFnae9tOT3XVu/8o7/caibMm+FhTu37N7171qVqtQByC8s2PnNhp+/P6veUZ0teGDiTUTuAtaq6igReQRYrqpPJ7tfsXjvtP7puOB8VvBrm/K3TqtdueZ5F04fvDn4tXGt+r8H/DXSsef9sWz1fQtfX497ujlGVUPOqR7bckADYPDuwoKrKqW5eMSvOzds316w8767Fzz3aKyfyZhYich8XA2P6rgb5rN9rDqSUqa17ZeBe0DWNHD7rsLdmi5p/3f2F0OfC7HPYbh6aiEDgUWBgHsWjF/82bpFC3GB/PdUda/vBICZ7ftcsm33rgdqVKpynLd/wYyNK9edVueodi2nDNvroUJ5ZAEEU+6IyEu4OUxficgZwP2qWm6qE+dlZqXhAh9nR2h2X0ZuTnbQfmcBe92MBNtRsHv2iR89e4qfvojIeYdWq/nCoCbtrj/n4AY/NJr49F3AdFX9j5/9jSkpEUkH5qrqid7vz+NuksvN1JmZ7fu0AL4ifAX1LcCpLacM+ylw47yOd7wM9Ih2/M27d9565mcjR/rpS6W0tNzjax1Y750zut04evmcVQ8t/GIacIrPom/GlJiI3AzUVNXHvcDgNOA0Vd2S5K759t5p/YcAdwVvD3iC+D/gLxdOH7znonlcq/7VcKnfEacDq+ruJdvWVO87/8Wwc6iLiEi9munVvm9T98QhNxx53oTuswafqugZqnp7rJ/JmFiJyHSgo6puFpEbgRNUNWztj1QzrW2/2sBcINIyiZe0mTrk3aD9/g+Ieq7dtnvXa52+euIaP31JE+l3eLXad73d6rrOldLSVpz62eNjgT6R6puVJ1ZE0ZRHm4DaAKr6tYhsFpFO5Sj9+RwiBw8A7srLzHoiIzfnj4Bt+/s5eLX0Sn6Wg9rTlzU7tuotsz/8SFUVefopYIyIjIlWDd4LhBwDVAWWZuTm2I2K8U1VC0Qk8MJ7IJArIuNUdVeSuhWrfxJ5+bVauJuSG4O2+xrL+1WqWt1PO+/f8cQfNv8+9rhJw+c+CDwk8iZwDfBstP0Xdum1H265x+3A0sYTR9iTBROLTXiZcaq6QURexhUcvD+ZnfLrvdP6HwSEvEEPSD8+Dzgd+Drg5Rr4qCUmIpWOrVm/Oq6gaTTttxbs2Dzp929zJ/42Y9EVcv8y4F4ROUBVN0bbeWzLAUcABwCru83MtuwjE6ui6+vNuKzAb0WkgaouS2anYnADkYMHAIOmte03rs3UIYHnOV/n5BqVqvhePUGhy6odm1ac/vkTriC5PP447nvx+mj7Tmvbrwru+hpgcZupQ1JuSpgFEExKyMvMOhw39+hM3DqtXwLPZ+TmrA7RfCNeAMHzb+AVEZlcTtKfw81XDlQLVxk3MBNgic/jx1Jx/Rzgt6JggaouEZFVQNhsB692w624L8Jjvc1b8jKzRuMyJ9bF8P6mAhndYqDg5upfDxwJrMcVCRzXY87AiCdAVf1ZRD7AfQ+ELHKUSma271MNuNhH0+4z2/e5ueWUYYHfTWU9lpsD63DTuoo8DUwUkefDfS8u7NLrMNxNXndcyirA/IVdej0KjLZAwr5rQefe++ECUOfj/jZ+AJ5rMmn49yGaB5+ThwMzReQZVf09RPtUcxH+llW7kuIBhE24gsN1ouz3Oy4byY8OuKXgFgOoar4XkLkRGBpup7EtB5wP3Auc4W0qGNtywHjg3m4zsxf4fG9TAfVtmN0UuBloBuwAcoFXhi4dEKpocdFYXqWqu0VkEK446LWJ6m8pdffR5kTvZ17ANr/nZF/tRKQykIFbwaXI/4AHReRQVQ25OotXyPEe4BbgIG/zr9Pa9hsJPNxm6pCdPvsZd7YKg0m6vMysK3GD8j6gE265pIHAkrzMrG4hdtmEi7AD4BUpm4MrGFgeHFiSdhm5OT/iAivRvOjn4F6qaXUg+IJwGGGWq/KCB88AI/gzeAAu4JEFfJGXmeX385kKZHSLgdVwKyx8irvY6IArGjYW+HZ0i4GhancUeMsfFXkEyPKWKUx1++Nvzeca7J2l8JKP/dYAH/rsSwfcE6M9AQTvAmU2kBlqh4Vdeh2Bm35xA38GD8DNGx0FlMviWab0FnTu3RJYhAvk/QUXaO4NzFvQuffDXvHEQHuyAgFUdTvuZveexPS41Ep0Tr5oxuAC3FiJ5qWLZgz2G4xri1u9JTAL63ng+qDvyj3GthzQE/iAP4MH4OZyXwJ8PbblAF9TGk3F0rdhtvRtmD0QF/y7HTeOzweeAvL6Nsw+I8RuxcYybqnHY0WkeZy7W1b8juWDgn7/L67geDR+zt0ArYCfKX5OLsRNk/h7qB2mte1XFRdk6B/Uv0Nw90TveZkJKcECCCap8jKz2uCqiIcaFFWB1/Mys4K/5IK/4MAtG3WPiKTM4IrgZ5/tQmVf9FHVHeDmZoYwEfdF6MfZwHLgp6DtXwL1ReTYvXchExfJDud44EGf728qlhHA38K81hz47+gWA4PPOX8QkDrorc08CugTlx6WrY24lP+Y2zWb/MR83FPaSO5oNvkJv2mL5+C+L4PHclHKZChP4aYthPOvhV16ne7z/U0FsaBz74NwTygPCdPkblwGWqBiQX3PK0A7EWlYtj2Mi1Dn2lBCnbsfwZ1Hi52TA/5/KREyBwKJyKG4VRvyArd734uf4AICxYxtOaA+LtsonP2Bl8e2HBB1jUhT4fTEPZgL5UDgw74Ns+sHbQ9+QKe4pdQfiksPy16JxrL3ZD9arYdhbaYOWeTz+Ofg/i2Dz8mvAN1EJNT0xNuB9hGO2QX4P5/vH3cWQDDJdjeR/w7TgX5B24LTJVHVn4EJRL65TQnLtm58E8IGAIqsx32eYjJyc755bNE3D/y8ffOmwKVhvKcVzwEXZeTmhFyrOoS9nlp6x1JcNerbQuwTfOEYytV5mVm+5pOZimF0i4GHA9dFaXYK7gQYKFQwcARwhYgcXDa9i4+WU4bt+nXn5ok+mo5uOWXYXoN90m+L7hizau6S3VoYXDtkJXB5s8lP+Com6T2VbIRbGq5YuriqznVNij89Wtil1+G4JaiiCfmkxFRoNxH9Kd7dC9zqH0X2Gsequhv31Czl6yCs2P77+N2FBWFTgwPO1aODX7toxuDfXlv1aY8Fm1duDjwne/8/ETj7ohmD/Vaxb4+buhCqSvuTwO0StCYcLoMo2oOTZkAbn30wFUDfhtlpuBv/SOqw9w1pqLH8OaAi0r7MOhgnq3dsHO+j2ddtpg4JvrGnzdQhr41a8eW7W3bvDJ7a8QduetBeRVYjKJqKFHx9vQ14B7gqcPu0tv0Ef+dbP9fgCWEBBJM0eZlZVXHpkdH81VvCsEiomw74M/15v7LoXzyISJfOX/xn+MLN6+bufR3wp0LV/hm5OTtC7H/As0tnXZn5xZjjcRcENz3447QZd3z30bkZuTm3ZOTm+HkiWuRs3FPLUBcr7wCdRCT4qZKfVMjqQJMY+mHKv66EXwc9UPATtFDBwO3Ao6Rw+rOIVBeRh3t/9+4xBVr4R/DrRTcc+YUFGwjz9LHv9x92f2jhlGmVJO0Q4LLfdm65s8+8D34EGjab/MRbMXTnZFyK6vowhU8fB+4I2tYcf+f/ljH0w1QMfup6HAmcGvD7XuPY8z5wtIi0KIuOxYOINL3t++cmfLx2zowIbcgv3P36hdMH71X/QUTk3TVfDrjnp1e64jLwbpjw6/Q3H857656LZgzOvGjG4FUxdOcc3L/lXudkVc0DfgNaB73kd3qCTWPYtzTnzyJ8kQSP93Bj+V+4+fspmckizo3XzhrV84/8HcvCtSt00wj+HeYYTV9cMa3hyGWf1cfLtr1/4QcrP/59wdFtpg4Z3GbqEF811kSkGlAfOBSXgRQsB3evEvhvWQdo4OPwx01r26+Gn37EmxVRNMlUE38Xsem4m9KidN5Q6ZKo6kYReRGX/jyorDpZFkSkHu5C/iCFvzTer96vuLTD64A9XyI7C3bnj1wya2XOkm/raeisxAeBJ7YX5K/BzZH+cpTIYbiqs1GXeAzoz0HALqAhQemSsKdw0yj2LtzkN6U65SrGmrjym3ES3C5cMPAV4DYROUZV/RY3SggRaYdL///Pkm3rT02XtBOAN4DjAtqwdNv6Xf+e/8HGRVvX7q8MCz5GXVyApF2zyU9swa0Pz7kitzT/5EmUJ2Lp0jnAQty/ZSihCjdFXU7OY+N43+N3LAeO2+24Wh/FqKqKSFH683ll0Lcy4013/Cdu2lVW5sEtv8Y9YRxIQE2QQtXCL9bP/3X40gn7XyaPpKtqcIbftcByVf3M+/2ni0V+xgVVY9UamEXooD78WZ8osBaSjWUTSknGMbjzyKHBjVR1nogsxBUcfTf49WQSkQzcakNLdhTubr1/5WqVcQXIzw1styl/e/6wxR+vnLz2x7rKkOBjpOHqE/Qe/8uc7bjsISbKo50m/jb/6PtcYMWvM4BvgJaqute4U9XVIjIPV++tKIsxlvHpN8s4riwDwSTTJlzl8GiCKxiHu+kAl/58eaqkP3tR0StwN/eTgPNVdXlGbs6OjNycG3A38H1+3Lz2pafypk976KcvG+Us+XYn0FFErg06Vmtc5dgXgt5mNhDrE552wOdAuqqGS90MVbhpso9j/8behRlNxeZ3tYDgduGCgQW4uZvZpexXmRGR2iLyLO4G41JVfURV81tOGTYHV3iwE3Df+F/mzXp79dze3Wa88vdFW9fOAcaKSPA80yHAoyEq1C/ETUeIRQfCPLWEPYWbnqF4euQ3uPXro/k4ehNTwUQcywFJLosDtoWdj6eqXwD5ItKhTHpXBkTkdFwB0TSgtap+deH0wXrh9MFDcMtR3ry7sGDwa6um/LK9YOfRw5aMz8vX3RuBpwKfGorIgbggRHBq8xxcZlAsfToSdz3UiL3nTReZChwVVFfCzzkZXA0Fs+8I9eQ7lOAHSCHPyZ77gPvCFfNMNBGpJCJ34QIag1X1JlXd2GbqkN/bTB3SCXdd/K+vNyz57ysrv3rlhjmjz5i89sdNuGVRzww63A3Aj6o6LWh7Sa6vOwALCPFwLsDjBNR6ajN1yGYgbBZUgKmpshJDSvwRmH1TRm5OQV5m1iigb6R22wvyX2320XOBqUPhUqxQ1R0iMhRXxTTUHP6E8S4InsbVGWivqr8Ft8nIzVkOPN7ITRWYpKrLXxd5GHcz0ltEflbVyd6SMCOAa0MsyTaHvVOUo+kAfEuEqQZeRkdR4aai+djDcVkTkYKPORm5ObsivG4qngm4wFG0wF1wBeNIwcD/AneJyMmqOruU/SsVEbkQL/sH+HvwGPSWaPwY+PhUka3ATtwa2j1wRSHHi0hHVd0iImfjVjC5KcRbFd14hHsCGdyvKrjso7pA8IVPoFdwy+o9rKrbG08c8cfCLr1eBG5T1cC17gPtwj2RMfuWFwmzcge47JrtBflfnTL5mb0CDSIiYYIJ/waeF5EzIwUb4s1b3WUwrkL6tar6Q3CbC6cP3ogLnnOpyN/e/mXab7gVhkbhVqboi5tiBS4770FVLfYgRFV/E5EDRSQthqWlO+BWsOkefLyA46qIDMetiFF08/Ef7zMFV5UP9L9uM7PDBSVMBTR06YCVfRtmT2TvukOACwSKCAVa4PucrKrLReRj3M32c2Xa4Rh506KeAT4DTvemPhbTZuqQucDcs0TaADeo6iwRmYxbyvJ5EblIVReKyCG48RSqTsgc3L/hXvVPIuiAO+eGPY+r6mwRqSIiJwR8Dz1O8aXbQ4kpPTGeLAPBJNsQQkRKi64x/sjf+fs5n7/eOWgOZaQIKbiBe5aI+Jn/VeZEJE1EbsVVsn5GVa8MFTwIpKobgdre041XgcNxaZ9Pikgz4B/A/0Jd8ACrgCNjnJt2Fi6rI9qNSrHCTRm5OXNGLZv7QUH4a6LxlJ9qvaaM9JgzcCdRglhfrJ+7+Lq5g+4SkcBU50jBwKRXfxaRQ0XkLVzQrJOqPu/jhmA+0NRrdytwNe6m7E3vsz+FC0KEupGaQ2xPO1oB03FzryNdrGzFPaXZU7hpwi8L+8/YsHpnmK+NfODqxhNH+H2KZSqOcbhsuWKK/lwLtHDnjTPfO0RELgpqsp29lyst2vd73N/nXqsIJIqIdMZlHSwBzg5zLg22EGikqvNwT/rnAOeJyBUicg7uPP1amH0X428OepEOuOkLEa8VgDeBTBHZH6DbzOwt49dMu3/r7r1KJhX5Abg+hn6YiqMf7gHWXkSE9flrVz61/IEbReSIgJfCnpM9DwJ3BJ3HE0ZEqonIg7gAxq2qeneo4EGQBbgsQXDTmy/G/du87WUrDwOyvdVOgsV0Tvb+XergHqZEu74Ork/0xsTffoh0zn2ozdQhKTN9xAIIJqkycnN+xxXzyw3cLiLsKiyYtH/lqi3W7tp2FTBKRHp5TzjyiZA9E5D+nPDqzyJyPO4pQlNcauQHMey+AjjSu7G4FVf19Rrc/OgehFmX3Wu/Ajgi1Osh+lgfd1JpQPhUyaJjFyvcJCLnP/jTtE7/WfHD1cDruHVz/wC+wN0oXZqRm2NzLfdBPeYMHANcjrekWZEdBbt2Afes3bWhEW5qyxcicqL3cqQMhKL0553exXrCeFOPrsel/Y4FLlZVv8tDzce7WPFuUnJxFxTf4qYNjVfVcBcWsaZLFj21PJboKasjCCjc9I95H427/tv3lhVo4U24IMRm3Fh/EWjZeOKIWAo5mgqiyaThBbi6AM/islAAd07evHtnXrqktZu9aU1r4GYRyfEKhkGUsYw7J9/rZdMljIjUE5HRuCeMXVX1qRB1DMLZM5Zx06muwS21djd/3sCEy6iYjc9pDN6YPB3YRvRz8i7cQ4ae3r6Hv7H6k4eGLhl7H/AYbhWXLbjAwT+A1t1mZv/qpx+mYhm6dMB3uJU9ZgZuL9ACVdWX6lY+sEkhBQ8BE0XkAu/laOfkdbig2e3x6XV4XvbeN7hrzjaqOsvPfqq6Hqjj3T9swT2Y6ImrQ/QpLnsn5KpHqvoLcGgMD+ja4LIBjyfKWMZlbp5eNOX6rC8e7X//wg8PXLl9fTdc7aKN3s8EoEubqUNCFn9MFkliNpkxxeRlZjXC3ajqVdPHnzR9w+olqvo0gIjUxD25q4dLn/pCVZuGO5Y32D8Dbk9E+rN3UdQPuBToFWIelZ9jPAHkqmqu93s2LtXqb7gv9NNUNWShNG/axueq+r6P9+mOuyg6DBjl3aRFan82LmWyHzAP6Kuqz/j+YGafMrrFwHTcje1RBVqw4dbvH3lgZ2H+mV6WDSJyCi4d+Glc9kwHVQ07jUlETsDd1LZORPqzl7n0DO5C/C7v4iOW/QWYr6pNvN9r4C56bscFA59U1ZBFXr19fwSO9/NZvXTMW4BxqtrMR/tXcRd/bYFeQMMwT12MYUHn3gfhinTWGLH4m+ojl8w4o1D1WthTdKwPcAXuxvpB4F8RgmNF56lFqvpsvPvujaVuwABcFtNrsX5/eOfK41R1oPf7X3DjbSnuc3dQ1flh9r0UOFlVo64m433nPAu8Beynqo9FaV8XF4w8Hfd98ZWqXu73c5l9S9+G2YJbhaMZsOOFVY9fvmn3xsdVdSrseaj0Ci7o9AjwlqqeFe543vX4DKBtuOk2ZUlEanv9Og64RVUXluAYk4EeqrrK+30c7lz4JC5DITNcYFFEcnFZg1Ez8rzsiLm44F3nouueCO2zcPc1XwPvAeeo6le+P1gyqar92E/K/eCepn8TYvuVuKeYS4C0KMdoA0xMQF9PxT1dvB+oVorj3Az0Cfi9Gu5p7jjcBdpHQJUw+14NDPD5Ps/jLgq/AA700V5wJ4tfgf8k+2/DfsrXDy6T5v+Ctu2He4r2CTDaxzFeAi6Lcz/TcTdE84COpTzWdKB2wO+ZuGydc3Hp4ddG2HcKcJiP96iGu+A7HhdA8NOvU3BPo7bh5o0m/e/DfsrHDy5jdX7g37W3/TRvzHwR7W8Kd6G8AKgZ574egauhMgY4uBTHaQ68GbRtonf90cr73PXD7JsBfODzfXrinoo+BvzF5z5Pe9dCC4FKyf77sJ/y84OrsTUqaFu69zc4HVdMMNoxbgaGJqCvf/XOczdHu+aPcpyncDf0Rb8fiSvQfg/wMG5pRQmz78PART7f5yvgED//hl77WrjaKpsJuP4vDz9WRNGkJFVdJSLrReQkVZ0bsP0/IjIdlx44SEQGapiooapOE5HtXvEyv5WKI8rLzGqJy4BokF9YsGXYom+qVpK0Q3Zr4Q2q+l0pDz+f4nMVi+aY7YeLlB6FK/xynXrfPAHm4G/9bnBZHrfhggdrfbQXXAZEJdySVcbEYjRu3u6erBVV3QxcI26Jt7tF5AxV/TrCMe4DJojIeA2xLFKsJpx+TzXgMtxSazV/3blx7bE1Dj1p8bY1HwNnqKsZUBrzcQVKiz7TIbi0y9q4LKXJ4hVIDbFv0ZzLaFMmzsBdrESsfxBkC3ASMERVv/G5jzGoaqGIjMU91X8uYPt0ETkLd+PxoFeY7I8wx1jnTSe4HZexUGpftr3raNxywyer6q7//fbDjprpVU/eWrDzLlWdUMrDL6T48qxpuOXxijKF+hJQIDVo3yW4qUV+dMBNMboXQq/fHEJl3Ng/TFX9LuVoDLjA/ZMisp93Lsa7jn5IRD4DPhGRq1U1XH0PcEH9mSJytKouj9DOl+eaD0rDBdivBA7eXrBzwyur3quPO292VtWfS/kWRdORiuq7HICr21IHl137GsULpAYqOiePi/QGIrIfbgnYNOCXGPp2CLBQVYdFbZlCLIBgAMjLzKqJO4ntjyv+Mz0jNyfZ81tewt1QFyvOpqp5IvIVrkjJJBG5RsPPT/438JKIfKr+qyHvJS8zqxLuomnPDX7ltHTuPu5M+jVu/Z2IlEUaV2ChF3BRz0G4L9XLcBdcz3rbBgTt+yPuYiIiETkKF3WtiXsi6seTuCdH63BBjZAXhyY13NkgOwNoiVsreNrjyxZsnoYAACAASURBVAbEciIrc6q6QkT+EJET1RVTC/QacD5uebR3cEsb7jVOVXWliEzCPakr1fSZCaffczzwIW4JVQAOqXoAT5x4A7h6BdtKc3xP0cXK1/LnUm9dcSnKH+GmJU0Uke7qCrQFKqqD8GGU9yiqf+ArgOClgU7BTaeIVLHdpIAhTbLTcfWB6uO+s6f0WzAg2fVlRuOqhBerwK6qm0TkDdw5eaqI9FTVb8Mc4yngWxF5zmcAO6wv2951G64AWjq4Og3nH3Ii5x18wrqyOCerW9UpXUQqe4HL63FZB28Ag1S1j1eA7k0R+WvgjbwXcPldRA5R1bA1CLypFqfiMoMaAsui9UtELgG648ZyQ6IXXjRJNLN9n4Nw08aqAHNbThm2IJn9UdUCEXkbV7PoxaDXvhSRZcBFInIubkpucHAMVd3tTbMdhCsyXGLPNR90AO7mvH3RturpVbnl6MtR1Q9EJOI0AJ/m4zJ1iwKBI3Fj6HHc8ujXA/8TkZWq+kbQvrO9ttG0xS216vecnIardbAOr/RSiIeDKcuKKO7j8jKz0vMyswYCP+NS/l7HPTX7Li8zK9nrNr+PqzZcJcRrG3AR+8eAj0Tk/FAHUDc/8QfcU7/SeAi4PtTYFpHmwIdekKHE1M0lq+sVcGuLWw96FC6teiAuuHMr0FJEbgzadzewRdxykJHEetNxDa6A41+9vvSM5TOZxLmzQXaDOxtk5+LS4d7A3ayuuLNB9ut3Nsiuk9ze7QkGBtuEu6g6G1fR/H/illQK5SHciiA1S9qJCaffsz/uCUTDME3upmyKQwUWXyta6u0H3NPF+72nKd2BMVK8Ajb4X0Pe91gWkXTc594MdMQVbrIgQooa0iT7StwT7E9w5+RJwPIhTbJvTma/VHUZsE1EQtUf2oRbRaA78KyI9PEukIOPsQ130V6qgmBftr3rUlxwOz34NRGpB3z4Zdu7jizNe3jygGO9Qmf/wH1HjADaiFti9kXcFMaRIQqtzcFl/ETSGPfQJh3ID5dRWURcAdoXcUUd7wXujPHzmASZ2b5PrZnt+zyPq/XzDm5KzfyZ7ftMmdm+T9QHPnH2MuFv/Hfjggvf4Ioehyvs+y7QWNxKYaUxBrfU+V4veHVHXtzrhdgFnpNvBuaqq1XWC3dezsetEtNPRNoF7ZuHG6fRnIP7zvabFTjM61Nbr31HH/ukDAsgmJG49ODgqqsnAhPzMrMSWv08kKruxM037Bri5U3AAar6IW4+1z9E5LEwwYaBQH8pYfXnvMysOqraCwi3Xjq4uZIXhHsxBj/jVkfYs9Sbqq4BhgMPeIGCbsBNInJe0L5ziX6xEstNR0uvH4O8L9pngRtFxDKXUsydDbIPx81BDl7zuRIuJfDjOxtkl/jGuwyMB/4SYnxuAWqp6g5VvQ13Iv9URDoFH0BdMcOXibJcZBTX4uY+RnL3hNPvCfU9Eov5QFMR6UDxpd5GAqeJSEsv8+B2XAp04PdvcCbSXrzCjAd4mVd+qj2PxKVTd1TVHbgnyH+P8TOZBBjSJLsnLmhwVNBL9YFnhzTJ/kfie1VMpGBgbS9ofxYuAP7fMIGqUcA5InJ0STrwZdu7BHfzHMkBQFZJjh+k6MZjGC74t8G7yc8CnvaCc/fhphQEF0z0swTcObhzciPclImwvGymSbgCio96+2V4mYUmhcxs36cK8AFuek3w+aQd8MXM9n0yEt4xj6ouAfJF5LgQL2/GFfMciTtn7lkFLegYigsElng60nPNB7XCFTCMdH3d7bnmg/zcwIflZTsd6BWMvA0vgKmq03HXzjepKyh8EW5cNw3YtwDY6AUmI2mHK97u5/r6alwAp5u6wo7DcA8Lyw27EdiH5WVmnQbcFKFJZSAnLzOraajpDHmZWZVxF+O7gVUZuTklniIQwSjc8oXvBG3fs9SMqq4Wt8bzv4DPvblbeUUNvfTnXNwX+chYO7B4y4Yrj61VJ+T61kH+n73rjq/5/P7vc7NFEnvFCGLPWq0doxWl6KTosEdo0fKVqiAdNNQoqRalqKK1qVJ7z1hVIy5iBDES2ePm3vP74zxXbm7uSqT9deT9et0X+dzPup97z/Oc55z3eZ/XIQslh6FYC50gzn1CRQ/vazdTE0IAbOTsatbfQqihTZn5BBF1hzAvYjirlY2R+rzP0rXU4P8sJPra3dp+at+ykNYx+yEDG5g5VtXH9YCoyRfg74NJkIWqNTQCMBTC2MmB4KqhRQGUAPBw6tWQfFflV1TgnQC6wKSOUNF8yeTvjUR0CsAPRNQBwEQzzYO5EPrzt3mhP8fpkgYXdSlsb7cyEAHWPbk599E2H5aGlGN4HWg5Stv20JzKBvBsAK8ZaYmKOmpceLRk5l1ENAfSj7oLM2cwcwYRpZnWp1pASwCH1LMrwjaUnoloMISB9YZyVAAJxJwgojAVUCjA3wBhtUK9INl5W5gaVit0+biLITlo64saTCbInOwC4NbAs5Mzchz99FgPIISIPjKzzceQ4DdY+rIPI+lEsJeIRjDzE3syoT+HQhhuuUJkUkyd6oVL17ez6ABkTh6fm3PvaB5MEH2RRgAyWxWrEXsw9nI3yPj4hNrMzCeJ6AREFf5rZWdbiOhtZl6mdjsNYKydS7aDKMzbDASq4Ot2SIlVL+OYQkRzIV2S7F2nAH8t+kKYddZQHMKqe93Sm7tbjC8EmdOT2h+e9meVIRqDgeY28hjiXz9m5nMkGidfAVivypOelAcx814iGkdErVl1dcgNHqTHDi3pVsyeHQPCDpiam3OvbhziCUnslQYQU8jJ7UGKPv0biOC4aUezjwAcIdFYuqEW96uJ6AWWNo6A2HIDCMMgB4ioKESEMZaknbvVcZyImkDYUzOZeSfwZDwpTES1mPn/tcTFURQwEP7bGGh/F9SEOKtPoA0MKqwNDPocIvJ1FdIp4LI2MGiENjAoX39TzHwGQCkiMl8cGQc44356Zv4UMoluIGm/ZIppAN4jIrurByOISENEg9dGX7LbhknBVg/sHNAGBr0CqXfcAhlMlvzWuve7n9YJeP2divWzLfRUXfhwAOFE5KxYCW8AWG6SxbFHfa4C4BZLH2mrEVKSvt7bIVHoN81qsmbj6TLABchnjPYL9QDQx4Fdc9h7cNXQRsFVQzdC9DAiATwKrhq6ObhqaJN8vk1AgoH97e3EzLcgVL50CBvBz+S9FEhAy1GbBAAQUSkiWpmqz3A04+mwLR9t86H70TYfGts+LgYwx1nj9Mv6ZoOq9fFtcoGZr5jurwJ+RyH2DGZeDtEmWGgSTLHHJjJSJUsDuGdtJyJqCQnAzjI6KuqaSZASMUfqOgvw1+F1iGiuLbhAuvI8waIGkzWLGkweDlmA3oBQbu8sajB52qIGk+2dL1dQwYE9AMwZcDn6xzPzGkjQ8BMiCjVjr62HZM/r5+b6RNRh5tVd69X/7e2eqzl5R/PgBpAyjMOQMoVvQqq/PP2zmm/06V668UQL9ckTAYwgorJqXn0NwEgV/ASEvVDHxmfRQOz8DGzPyQRgEaS7RCc1DhqxCkBXEgG3Avx94Ih/3SMiYEwJ0w27W4wvt7vF+AUQ3ZNIAHd2txh/fHeL8Y6KZOcG6wB0t8AqzWbLzJzMzAMArIYk6Vqb7R8MEWC0a5BGEJEbEX1yLeW2JYaxJThsy6sbh9DqxiFjIIzeVRD/etXXdUc917NsQMPXyrbJlpBUwYRQqAQLS+t3o0Cqcc1gz782sg8AYY/dtLSTSs5thGiefGL29izkTwnlX4KCAMJ/G9Uc3O8JzUobGFQYwC7IgFHCbJ+5ABZrA4McHkQcxFKYOUyw4KwAgIqAtgHQk4i+M9ZLK/rzEji4+CWiagB2AmjUu2IdhwxaZ9BbHDAsQRsY1B2Sxc8WGHEijVPP8rU9P67VapH5c2TpRrEfUrMFFaUcBokKF4WIO9lyxtohK3paGdLLOhvUBLAcIrLW2cxRATNHumuc479r3HWiNjBojjYwaLY2MOhVxUYpwP8PyiGrY4ctZLP34Kqh7QEcguhbGOcCgkTsDwZXDc1RRvCUOAWgnJpATaEzL21g5kxmngRx0H9RmUwjvgfQzjSwYA0keAuyQN9Y1q2oxeyByXWN/42yd24AONrmQ4I4KEMgC7snKOXm5RRUuc0bR9t8aL7QAuRzDTMJjH4OCZhMUX/boz4HQD5TDVhfdFSCdL+IAPCphV3mVfTwGX35haDgyE4jwiM7jQiN7DTCZulEAf50ODonP9lPsQ4WQNqQmR5fHFKvv2dRg8ne+XaHgsXIGQyMh5QNZIPSTWgHsY9dRFRBbc8V/ZmIihLRdwDG+3uW6s0OiCJnGvS3HDk3AOxoHlwDYlPZ7I6Z0bRIFeegys9/v6N5sJfZe/EQ9tcs9XcChKE3h4jqKXaPgazrttQBcFFRpK3aMoRh0AnAAGa+anYP6QRa0aVU86krG4XMWNkoZN7KRiFDVjYKye/vvAC5gyO27AzF2gGA3S3GV4LoDgxC9jm9KYC1u1uMz1eWifLv9iNn6aM1W14J8RfCiGiiKt8x+qbXIcxWu1CB7aMA0hv51J7tyDEGNuSm08N4SDAg2xrB3cnV+eWyrSu+VrbtxxaOWQ0pcegIAMy8HTKu/qQCLPbm5HaQhEchAGmWxici8oAINafBhJlogk3ezm5ttjUf/GFEwJh5EQFjpkcEjGkXETAmv9dU+YKCAMJ/EMqprqdNinVIRGvR9dMtiKi6WlxOhPR9toZ38PSCheb4EUBvs+imxQEOeBIseBmyYDlokuGYC6D3qGrNamgDg95WjIlAU/FDInIhov9BFvdTACx44cCPH8SkJVtVRjWOAb2Pb+hMRBPITp2UNjDICeJwWBwU1PnegBnzQ2EyRP+gvNp3P4AwSCQ5A4Cr+WLMBMYBzg2Ani23fhoPqV8dZO6oqHsPiOgw4Lm2JSuFQurI3oc8K602MOjPyFoXwAaIyHPNvSUOPXedIUNPRC8RkU9w1VBXSJ21tdIcNwA/BFcNdaR0xyGoyXIZHAwGqmP2QBbL7xLRN0TkoX63UwCErms6scm6phOHrWs6cfC6phOz1UiqBbRRI6UdgBJTtWvbq/NavEciwu3URwkvHf98NhF1IwsicGboABtOkzp+lgo0mH6uRAAfQxg9xmdjKpBq1VkhIm8A7sz8AFayliprshVCd37D3FGJ7DRCc/mFoPe3t+pTl4g+V9eeCOCPyE4jVkV2GuFIQKoA+QgiqnQx6bKleuQcuJQUWYeImigHvgdsi9s2hixy8xMnAVSk7IKntuxYx8zBkEDWNpISPDDzPgDk6+HzfETAmFciAsaMiAgY0zMiYEw2piBJ14FDEJ2X/uvvnfnwcNw1u3PyNzcOlCaiuUTkSDvFKbDgU5i4HbUhgUJzrAHgTUSd1LXNBVLPAbAmMmfUJAKslDCoBc14AIvZQlvKlY1C/JY2DH6jj2/HIIjIYxCkU83tlY1CHGGmFSAfQUTORNQ8QZdms0Tc+Bsdf2FLABGVU5vnQ1gm1vDF7hbj8zvIay0YaM2Wr0Ky7T6QLmjGe58IYHJI9bH+M2qHDpxRO3T4jNqhLWbUDn1iQETkRUTzIKUIvQGcnhj51UC9nVhgpiFT/+HF6cOJaIhahFvF6sYhJSF+si1MXN04JJtYs5ojgwB8qVi4YBOBVADnYd2OAUlcHoCILVqyY4IkQ0sB6MYWWt2ebDu67/bmQ6qWdCs8Xd3Lh5Ck34mIgDH5IQibryjQQPibQxsYVAmykNRAWivaFNmxBhKRnQ6QloCNAVw8EXf3jH/hYlbpdQCQrs/Uz7926mUAL7iQBkmZGWUKO9vVFxsOUYDPF6iaoouQ53BQbY6HCD1aO4YhdP9DAJYR0YKdrfssepieEt3Ap/QfyK7cfEsbGDSy2vavb0Em3l0QMZPpAGro2HDgsS5tWGl3T4vt45SDseRMfMwoyEC8n4j2AphtTl9WaAvrKvCmDssAk89r/FxJRPQRpB7tFbVtlcrqfA/pOFEbsgAxPSdBvvcISKYjx30RUTfId7fEkqOiDQyqB2Crq8bJ0gBeEcAObWBQY/9t4dfU/q5quw7ArT9JI+MfgT6lJ2kgSrt+kN/uzhUxU3K0RrIHFQlvArHjjgCK306P2p+iT44s5ORpU2ToempkMiSinrn1wQbdiyV7lLFzuVKQusMVub1PG1gByUJON1nUGsuRHlg6gJkfENFLEPbQQSJ6e3Wj4MvRaY9ehlkwYl3Tib/GZiQOHHRuzmsQrY8JEHbUOQDOx+O0nxqY22uIAq3cn668R/FukLZKoyHU6/kAlpmzcRRslmSoGu0aAFpAFkCmWA+gHxG9yMxbVV14T8j4EwbrJQytIVkjQBYd203fVEGLlZBn2smSowJZyH2gscw47QnxDZ4EgiM7jSgGYZw9qL59Xr5rZPyTMNh3SlHIXOoJcRSPLYielOvWW0RUDLKA7Aj5Tu8fexzxe63CNYy/mxzHGLfve3SoFkQXyCkq5Y6rX6FyOfY1Q/9FDSZPGHh2cr7oXTAzE9FySJ23sdwuW1mhleN2EFF7yJzcEcDYZY16n67oUWQrsvujCREBYz5veWDu8nRD5jxIS9oBkAXybAA3Libe69OyWNUFkO5E2aCe3amG3hXarow+2QWiqXJX3eth84DajubBRSBjnT30h3RVMX8WQQA2EtF+Zk5l5t+J6H2IJtJaSDDwqIXztYPoSRBETDab5oliQi6B/M5yZE0Vy2CXMzlVsfCb8QKwfGWjkLg3T4VuBYDVjUM0EI0MZwC3ekaE/hkaGf8YRPcYVA/y3egA7PPdsDDXWgPqu6uJrDm5JoAT11NijzXwKWee2Tc9DnfS4lN2PrgyDsB75T2KZS57ZrBVv9B4GETL6L3c3qcNHAdQhYhKqqA0YMeWVbnOhyTdz3YS0djptaYcvpl6u5CXU+FIZE+OnZtRO7T/2IuTSkPmtfkQps9mACXidAmrdQZdrJOTm1WtEmeN89hkfeoqyKL6NBGtBhDOzJbal/ZGTtFKc7hAyj5nmn2uq0T0E4RhbQy6TkJWNzQiInc20w0iEYpNZ2lna60UaTyA5gBGsXRkyoaIgDE9AHzvosnRVAYQ331nRMCYRo33zkwGgEOtx3lCGMyJLQ+E/b+06i5gIPxNoQ0MKqUNDFoPoQWtgNDKL2sDg7aroIJNKLrfy0QUTkS/QyJf5SALz7rM/PKbFeoMhtRLWoWbk/OshMz08gBG1fIucbGws6ubA7ff1IF9cgvzKKldZwV4oqHQioBm0amJVxsXLdvRWZPDQisw84ZuZauthGRIO0Ec8BQAzzFz1y6HVn0LYQVEmx2bChkUBzNzAjPPhjj++yBO0gYiCiCi0kRUj4g6bLhz+Q0HP7PF75mZNwLQqEWVETMgi54ysFynVQOAVmVvcwxwJG145kJqZ62pW08AYCv6WwTAB9rAIC9tYNAXAO5CAhVRAC5pA4OG57dGxj8BfUpPehHiAO6FBHnWA4juU3rSZBVYsArFFqpJooC8ARIgGgn5Hb7NzPWYOaiQk+c4O7eRUd2zbgDENmeXdfN1tCNDvrJKWIQPr0AmUiOssolMjmNmngVgiK978bUG8LFKhUoVtsAk6JzJem0RZ8/6kMzgN5CJ+1sAFTJZP11D9AqknlhndqwWwItdj322j5nPq5rPTpBJ+hRJDbefejUjoi4P05NsjnUmDn0OW1aLmBEQOmghtS0JwmiYDKA4We4cY561NHdWpkCCqx9aclQiO40oAVmI2cKrkZ1GPBPZaUSzyE4jfoFoZFwG8DCy04hNkZ1GNLZz/L8Og32nuA72nTILYns/Q2z5CIBzg32ntLJ3PBG5E1F7IppKRMchavrPQsaDZszc/kLipfchnQusnQMADng6e5aCLN43lXIrZk8ZHBD7ciQLnxv8AOAtE2agXTsGAGaOgegn3BpU6bnI2l6lJxR2djNPZnkDmDa8couzkKyeG6RuuB6AV5m5/uKbh1dDbOGs+SUgi/aO4y6sS2Lm1ZAA3iyIRtIhInqDRBelJhG1ma7d8i4cS6j5WflM1yFMyQkm23ZBaq9fhQgyZoNij9SGjOm+kFZ/pu8XgeiUZEDozpbaOw6AaBtZ04MgAJ+sahSiWd04ZCSkpj4KMtZFr24cMnV14xCHdaH+LYjuMah2dI9BhyCB5WUQf+9mdI9By6J7DLJb+kFE5YjoLSJaCumaMx2SlJoAoCYz923gU244gGRb5ynn7jMMUuowsYF3RUcTCvnqX6t5aAVkPDHCUVveCqCjK7l+GJvx+GJFj/LVKOcPsb7OoDtayaPC/yDtGMdAggjHIM9qiLuT20eQcqt4s2MfAQgafG7SLGa+y8wfQxbTMZDAxUIiakBEvkT0DBF1iky6bTVoYwY/K9unA+imAv/G5zMYwjBIhuXEZQDEvwMs+9fdIOyl9Wo8ygZVovCZnfutDuDtQ63HVTjUetx3yJqT7xxqPe7Yodbjetg5Pt9B1qicBfj/gzYwyAfimNSyssstAM/6bwt/EnUioaW3gERAO0Amwz2QOv6DzGxxINMGBtWE1ORYWqyuBPCO/7ZwndrXHxYy1xYQ778t3O7gkxuoyfZ3iKOVREQNAAQzcy9HjtcGBrUCcMBaZgcA7qQmZgTsX36HZdB6j5kPWziPs85g6BSvS6t1KzUBUy8fvnD68T0PSLbW+Cqp/i0ByVIVU4f/AeDU8CqNi42u9qxd8bIMg35z7d++6WbpPcUo2QrgWeN3q57RAUj9VXuz/YcBKMTMXxLRBAA3WcTbjNHTQ5CA4nNsQd1eGxjkASAB9p2sBIhzksNhUlgMYKClrh7/RvQpPakrxPG1FiiYvyJmynDTDSQaAUa20HMQodKd6nXeQt0cAGC0X+goSIbN/FqpAHrPigp50iEkuGroNMiEbQ8zpl4Nyde6S5W1eJmZB6m/50Em1l2OHL+qcfAKV41zb1v7/HRnf8LqO/uToUqR2EQ12ogtz04ona7XdYnTJZe+nBz9cM61LTd1rDfarvFf48vH5PUIwuS5srLxu139ChW3288706Dv2urgrF8svUdE4wAUVRRv47ZaEAfrNWb+zWz/EwBeYOY4IroACQgb1Hu9IOyCX5jZonZLZKcRQyCBFXtYC2mhaymbkwagS/Xt82xqSvxbMNh3CkGCBtay1OkA2i+InvRkzlBMkIbIykz6QsbZnQD2mGT7siGsVqgPZOFoScH9FIDOph0YFtaf9JDstxcDgJoDz0621+4zVyCidQC+YOZj6u8LzOwQxToiYEwRAxvuakhjtUxKzwZ0O/bd7Zj0JB0kK/gzm9UWH249lvRseDY5M+O5+xmJ7j/fOXV5S8zvBuS0YePfxjnZDTJXnaxcqGT8t/UHjLblH6j7uRd49AtzDRfjs3CFsAz6sImKOhF9Clk8lDIdu4moEcSHeV2xMXpwVrtoZ8j8Xh0yBpy0dM2VjUJOQhZUNkHARiKrpVbHAXToGRGaa0bcPxHRPQZVg3xPxazscgRAO98NC9ONG0jKxtpC7LgtRGB6F8SWj3H2biRPEBEwpiOkvNSSwOXkxntnGjVvsLvF+B4w6VBkAwfbH55mLmL4VCApRfoVQGPFqOkLoBIz21vUAgC+qDVpuBM5hduyn8tJ2pRFt5Y/ggRtxjBzDjb1gvpTPDMN+q6J+mS/u2kP0pZFb7wYp0soipw2XAry/RVW/6ZBWLe/j6r8at3nitbuaO+edYbMz/qe/tySFgKIqC0kkfa80WbVb+APAKuZ+UOz/b+GdE7bTkSrAExTyUtjcm4zRHS+raXfSkTAmIaQLg82wYyT6QZnX0hLX0v4oOWBsJlW3st3FJQw/D3xPqwHDwCggoH5IyJajCznpAKynJPZ1pwTc/hvC7+kDQyqA6D3jZT4913JybOsR+EDkEjhfrOF3nUIY8EmA+LIo9u6aiJcttYK7TfXYGl/tg6iUr0ENmq0rKA/YFu1uZyHl2vfivW2Lb/5+6+QHu4ByOmEuAIwAIiDUK6rAbivXpcgC3jj34+MWQNFRXwfQLufoy8uG+XfrIsakKxi0oV9z6whWgFhj+wyzUAw800iWgKhV41T2/Rq4D9NRN2YeZPJ6dojqwVOTQA71H25QlFhIf1orbXGKwLHxgtvWA8eAPI9bIFjE+U/Gn1KT3KCKHnbYhkMe7HYkOW/xi0oDrHjAEiUeyfEBgcruqBdzIoKmT3aL3QrgCEx6XcGl3Qtc0pDmt0AFs6KCrljtvseOBBA2PZgc91pNKkZgBPWAhd5wG8AZhKRpwp+OcQmAoB1TSd6umqc7VKNO5Z4xnn1nf1jINnIN4nIfCFRDJKd00Hs+L7J6wEkaGO6LUk5VhqIyOQYAHVvpsZtthdASM5M13U59k1YOs1uCimFuGa2yywAR4loBTOfB0QgVVEpFxDRMyz9qY20d6jgQSEIbdIYPGgCyWLcg9ROWkMp20/vCbrCOhXUHcCKyE4jKlXfPu+/QIN+HrYp7m4Q4byeyJqTG0Cy4zsBDLXwvVvEuIsh8WG1QtsD6JKUmTwyRZ/SsJRbyUOQLOGGcRdDsjmgRLQHdnSH4nVJuuBLc7oNoilLrdB+8wojM/BYHo7taSt4AABOpMEQvxZXQy//9iXEZj9Qtmw6LxvZVAkQW62GLJu+CalhNtr1A+N4qoIuQwH0vZ7yYHO6IfOEm8bZZnZ354Pz6Ez0G4R9ssHUv2Fpv/oepEVre5PxciKEeh2K7Ow+U1Fjc/2DMIhP96m14IGCo7ZsS9yuGaQ8IlftLv/B+AzWgwcA0DxNnzlAMXeNtuwJyTDvAPCxeamJNTTeO3NnRMCYqgAGXE1+GFTc1fNxERePfQC+bbx35u9mux+GzEc2Bam3xJwp2YGoK4BtbFnHKtdg5hgiugkJRp2EzMkOd0dxIqd+gG3/uppnlUK+7mVDotPuXgfQXo2VpvNyVkiFqwAAIABJREFUCYgfaoAE6e9DAmjGOfgsss/Jj03mvmaQObnV8ceX1tgKIBiDHCGR3/d5i6YWgfjXJ039G2beR0TvQlgZy9W2BCIaCymNXsrMpt9fK2S1UX1SIqyScz9DWt2/ai3QBMftuDZsC2bPONR63C8tD4Tla6DYGgoCCH9P2BJEAgCk6nXD3TROZdMN+h2QuvVreXXw/beFJwNYWE2U/GOYeamV/fTawKC5MKsBNMeSG2djICJCE4loF2QhFJEPC5DvIQ7LEuRi0aFgr7YMAODj4lYXWY7ILUim0dT5SLdxuFWwaCGMIKJiD9JThi6KOpMxqLL1jjDXkx/rtty9shei8P4mxDndAGApMxvpUXMgvWvrM/M5dZ1rRPQAwKdEdI+Zj6tFT31kUT1rArisqGbzABSFRExtOSpxBmadxjKlOttHhRVxSBMMx38ggABhEdgtN4rNvLcJQn/dCelPbKlm3SHMigqJhDjZnQEE2LC5HRDqpdVA5WNdXMbZxFOAsBo8iWgZgB9sBJkcAkut/zrIomcpchcMLANZrNlEERdPD0gG1+hsnEP2QEGceSbTwXs3QLLDm4ioyZTLv477odHb6WXdfaze08roiMR0Q+ZXkDrupUSkh3zuNcycyMw6IhoJWXgEmNzXBvV51xFRoBp72iCrVVQ1CCUZJEJWP0Kcr9dsOCpI02c+cHdyaOq395zLQMRqc1Ay/4Ww2ZJNOaVNSrtW+CEm49YGSNvgM3n5jQHAuIsheshvLB5AL2YeZmP3ObASQDA6ywdjTz3UcWYbiBjpRcic/JsVWnxusA3AdCIqpBbTTETk4Fzv58gFiji7l4MEVo32exEmwT5r7Ep7UKykz4hoBoDeYdrNr0ys/rLV/VP0Gbzm7vFbkIBfO4h/cxBiy4dYcJCIrkLEpL9X12Ei2g+gDRENZOZF6pTtkVVKVBPCVAMRDQDwAkSrwbivRegMmQ9dNM75Ia42cHXjkJB/uyZCdI9BxSFjlk1cS4r/EjKu7QTwDTPnuca88d6ZDwBMa0JUB5Lci7C0X/vD0+7vbjH+R8hvxyIyDJm8+s6xR5Bk1Aw1jy5mZm1e788ExmDgSeQ+QednbwcNaeDt7NUqGneLQWxXCwmaGO36YV4DIsx8HEAvIqp0OO6P91sVq5fYyKealyVGBBHhdPyVlOspd3+EZP0/AuBHRCsh/o0x2TIWomf2C4swOyCskxsQgdRAZr6t5t4EZk5Wvra7+r8xOacB0M/WbyjToL/rrHGyqn3z5HPa77ZFELbTGDv75Qv+c/XIf3eodngV7e3n6eyqOf/8kPeY+VtmvppP2cEikIW5LcyGtAazhuA9D268CqHFpUHq8b8BEEFEI40ZtLxADZIGIqoOoZDlpk2Rvc8FAHjfv9lMZv4fM3/JzMuZeTszn2bm23kNHpiCmWOZ+fPfYq5VOPzoliVRJegM+kuDT/1yKs2g3w3JRPwEqUW/AIl+HiaioRBa3AjIwsPUlrUQwbklJOrTdQBcUAwFAuDF0n5qhDrvcUhNeA4QkQcRvVNt+9fHf72ndeQ35ki7mf9KtwaHao6rejQ8wczvM/PmpwkemMPWmDD1aogBklG9Z2WXGBeNSzOG4StIzWxhiON1hIh+IqJOqmQmr/geQD/1f4fqLU32tQsNaeKYeTgzT2bmr5l5DTPvY+aLzPworws7UzDzyeTM9Df2P7raMTr1sUXH+0js9UOLbx79CCKS9xKEQTUIUrd8jIiWkfSMPwpZGPUzOfwMxGHYCuB7ZeOm+gc1AFwiUaVeDwkeDLDmqBBRFSIKa7t/aWia3rqflsuppMCWkZV561ZiwAxmDmPmU/nxG4MDc/LAs5MPIiv7Zem+1h6JO9cEwvyJg3yWjwFcJKJPiMih4LolKId/E5SgL4Q95WhNvUNzcpsSVdcx8wfMPI2ZFzPzFmY+zsxReQ0emIKZ05l5yYHYy9UOPro8T2ewGFN5FBq57uaN1IfjAHwB0SuoD1kgjABwjqStXSUIs+t/RGTa5vo0JPExiIg6qxKFqshiHRhtuTWEUZiqzpsDRKQhokAi+m3Vnd02hXMVDDbWJEYUh4MBnX84KsKBxGkt72KpzPwuM//wNMEDMzjiX78P8ccsQedMTq/dSXs8GkKlJ0hAeT0R7SWivmSnQ4Ed/AphBnggd3My4OC83L9Cn7HMPIGZ5zDzSmbexcznmPlefrApmPkGM4+5kHijpjY5+q6lxfhjXdLJ+Tc2/QjRFhkP0Qx6AbJe2UBEv5KUAiZD9BCmmZz/AUQHbJTa1wcS3DTOyRUA3FR+djiEuTKfpb18DhBRMSIa/dyBrzZdSXqotxU8AAA9O7Rk/8vm5IIAwt8PmZAfsiPI75o1uwOc/7ZwPSQj3hfA4QyDntUkvglAB/9t4dOY+TIzT4ZQOIMg1C8vSHQzgohWEVFHst8izRKWAHhXZU4cOp6IaOmNc44ohydAUfv/bJyJj0l/5+TmEn2Ob9h0OfHRuhOxdx7suR91/6fbF6btvB9VPyolvggzLwEQCBms5kBqrDpAnn8JiBL7GMh3Ntj09JDvciCAtU5E3YKqNInRBgb9fL7jkBM/NutRYm7DTtPcNE5DIZS5EeaLTSKqTURzIGUZkwE8uJIU2xsSuLGINH2mo7/bfKHd/QPgEM0xF/s5BLI3CylMvRpyERLg+zyTM+8b2MAQgbhpABp9FRV2lpl/Zea3ILXc4ZBWRo3UPpeJaLJymnMFlvpHDRH5IxfZjldPfopryXdz6BlYQL51gbGH2df2xPeKWJJ5OPba+EuJMaeOxUUl7X145cyaO6c7jflj3ZcMrsTMfSFBk90QmmgIRIxpCYC3Ic81EUCwoj0C8l34IksgdWoxl0LtDrUe+szvHUbt/rX5uzN+avpmy+ZFK66DMH++ZWnr+gQkbWlfIaIdkLGtz2Nd2kKdQT8NVkBEiElLdmhxhwJbzut+jsKRRQcGnp08AxJc2qAzZOoMwkA5Avlt9byX/vAOM89l5laQxf4WiIPcA8B2ItpDRG+Sal+WSyxB9mCgQ7b8WeTOaMB6wMpk+19iy8zMoVfWF3n3zLdXb6U+Cr+QGH3zeNzV+J0Pzv+4NeZMrVPxURcgJRHNIdTq3wBEsugwtYZkUX+EBPwPIKs7BSBzcm1IKUEYgN7PeFe5vq7JhAXrm3586POab7cIrztsiLdzoSWQheHrzJxqen9EVIakA9MliOBx+Yj4yAHMbJWubGBmnUHnaETwv2DLDtknEeW3HQMO2HL7w9PiIQvSUcz8R6ZBz5Cg3xIATToe+WKdCp6NgvyeQiDlQxUhXYMuEdHXJPoauYJirW2GjAkO2zERuZ5L+MMRVuIZSGngn44t948kfHx5sfuSW7/OiUq5t/t8YtTjk48vX9/xIGL4e+fndk/ITKnKzFMgfvN3AIZBFvrNIAG8JpCg33MAmhCRaUv1qxAWwhwAazw0Lp0+qfGK8+4W439Z3+S9X7+q27dyb9/mXxOoASSZN9v03kjQUjE6T0N8+MMJmWmDIfN4NhjHwXhdWqKeHXLt/jI7LhBR/BtCGxj0I2SRaBVn42MevXZ0bU8Au/OJfQAi+hEiiGSuamzrGIdEk1SwoDXkc3WGBElcocoSmPmWg9fzhJQV1AVwzt61iagKgA2uGqfKv7To6e7nWcRq9PnU43s/vnF07V/SN5mk7dOnAPwUGwBEVBcymDSBRDk7sGgdECRr+R5kYtmp9ieIcOYgyHNdBFG3rQOgDjOHVCzk8+bUuu2WPlvMN0fpwbXkuIz10Zfbzr8WcVSdzx2SlR6sru8KEX6ZxMwniMgprG77118oXWWup7OraXYFUcmP9aPO/ZaxuPFLVMzVw54T+rP/tnBHO1H8Y9Gn9KTikEWgTSr42aQ9m/9IOTCcmW/b2s9RkNTG72Nmh9WaiegFAF3YivCe2b5FIIuQvpDSIA2EpfA1pC7YIaYOEfWDZOEOAAhk5tE29iVIAHJ6Q+8qThOqveltpQUhMgw6w9mE6y2mXlmdl7rsXEGNaxcA/MHMr6ptxhaIoyCOWCEAbRSVuSQkEKMBMExlNEBEXhDbGwfJBn4MWYisgZS0RQeUqHzws9qdmnk5u+UInG65d/HSrdT42l9fO2oUfKoEGRdegyhW+0JEcWcxc6yPi7v3sibdv6ruVbyvE2V1pTEwY/2dS4YDD2/Gzm7QqYT5dSygU/Xt836zv9s/G4N9p7wPM0fQHOmGVP1P9+cOTjOkLGcbJSS5AUlNfTozf5uLY34CEMpKT8POvnUhc0dPSImNJyQZsICVCJiD1zwIaakaBmAyW+j+YbKvD2Te7xhWuyu1L1nN05y6a/w7KiX28msnltbKLx/HFkiEmQ8A6MhCiTYK2o6A2GYsgK+Z+Qf1XntIV6t5kOCd0fZqQAI3oyDlRmGQ8XEBM7/gonGq1a/C8yc7l2qSg46cnJmm33L/xIerovfNVufSQErhhkDKzRIg+iOhkBInvFymddMXSjRd6uPimU2LJSkz1bDo5hbD8yWbJNTzrmyP+RkFwL9nROjTlrT8rRHdYxBBytmstgAHgM3R1y4NO7n7zdzYgD0Q0TkAjRzNtCs72c7MzzmwrxukY1AfiE+YBhF2/QbAClYaOg6cpzaySqK2MXNzO/u3ALC6iLO3z5gqQZ4eTu5Wk3qRSVc/WHBz6V8i8EdE30MCMVWY2aD8hzYQ/7oEhG1TUbFy3aAEEyEMvvPqHM6QZzpSHfs5pFxpMGTt8XMtr3Jh4/27fFDBo3iOz30u4Vbi0birVVdFHzXO8UUgY2Q/CMOoOCTI+ylL+0i3ufVeHtW4SPmJrhrnbF2yTsdH66df2Zu0sOFb3k6ksRdFmNTyQFhoLh9ZnlAQQPgbQhsY1AhCabVWb86b7kQGffD7zrYQKuxMSD3tU0WeiGgrgOHMHJWLYxxWXTY5xhVirG9DDJMhAo2zAGxiO6JxRLTQ08llYwm3QjOWNen2QjkPr1vmqv7K+D+DTP4pAE71q9Rgxkc1W86GRG6zIUGX/n3T3YtrGsBLmdkRhfI8g0QE6g8AM5l5qoX3y0Boy8UhA1Y4i8iNHyRaGglgLEvLN+Mxb0MWDMkQhVYNgHaXXxgWriF6w9xBM8GpBjsX9knR6wYB6ALgBCSanQ7RX3CBZKkbQkpGIl1Ic/uN8rVrVi9crJae2elactzen6Ivzs8w6Ccsbtw1pnWJin0tXcgErfy3hR9y6GH9w9Gn9KQ5sNGzmZkj1zwMm67j9CCIRsUMRxx/WyCpyVvGzHaViE2O6QmglmIO5eZaZSDtTftBhM2cIY5tOGcXGbJ0bGEAJyp5lB0JYMjEaoMHDjg7OQcVkogqQBY1NSAOdPj3DT+47+Xs8RXMRP50Bn3K5pijX6yI3vMqRAvAka4xeQYRDYcEAmuxtKczfY8gTsxGCMNgFqTbRCYRvQFh9kxk5rVmxxyAiDA1hdjxT3taDfzO29n9sovGySpFVWfQj2y8d95NyGKjOGScaAJhHhyGBGuegYx/qQB+r+jhbXi9fJ1GhZ1dKqTpMx/sf3jzxyOxt484gWb9/vxQdyfS+Nv4+BcA1Ku+fV5+UPX/1hjsO8UHUmJiTf0aSZnxX6y8P8sVwhpbBGAhOyi2Zg1EFALJcq/KxTE7ICw985bDto4hiJheX0ipEkPmkrmQBYjNzCkRDSCgYgWPYtXqe5dbE1wtcHOLA9NzBFFIRH7nqT9vl3P3Dt7YrP9gElG4bMgw6A++dHTRnUe6lDgIS+5Py6yRlGOdh3QnytEGTiUuvoEI6m2BzN0XSYSQp0P8sAHMfNPkmNqQcesYZP4sDeDZdU0mvAQZC6zh8fq7h1stj97TFfJ9RELmYV+IoFsshN35jNp2k4DIJj41fet4+dVjwCdel3R2f+zZ8FhdYtOA4g38hlbqZq9b1Qc9I0L/MvX2/09E9xj0JoQpYhHMnPzeqb1B629ffQsSVJsOEbF+qsVSbn1lFQT+hpk75/I6hSFMl36Qsd4J8hucA+n+YnO8JqJDlT3K9k8zpG/6snZQ6zdPheYQXVXXWAIR2k0EsGVghbfW1SjsvxjiBzyBgQ18Lz0mbNb1b7pCui/8qQFnxb7YCREFz8EoJimB3g9hdsyHJDCTiKgpgAWQwP100/GGiL6E2HgZSEIgqq6Xb58ZtXudcNE45xBRNvrbzLys49Gw+ZA5uSkk+VkPwiLaAhFPbAgph3IB8IeXs1vc6+Ua1C/lVtg/02BIP594d/O2+5d/APDNxmbDbxV39exi4+OnAqja8kBYfpXd2ERBAOFvCm1g0CsQ1WXzbG4mgGH+28IXAU8y7KMh9MVvIcaQp7pAIjoM4EV7zoLJ/s4ATjNzvbxcT52jEKQ2eAjEiBhCo/rSUhZDGxhU6FLiw6/Kuhfu4+Pibnw2VyCD43z/beEGInoWMnF7QyhEw401SNrAIJcEXfprBx/d+r5p0XIRJd0Kneh9fH3tE3F3p0GCNj9CjDvY3kDrKLSBQQSJePsCeFBj+/xgA/hZAP7WsrVE9L56FjoIveo4xOm4qP4eCmAkM+9V+xOUoBWkrjKiqmfRh1tb9qplLVNrHORGntl+flvM1eOQyHURiOOYBGmbeRoS7PCEtC/qAKFxboG0irthcs8lnYn2Hm3X76aPi3uglcfxof+28C+tvPevQ5/Sk1whfaZ7Wng7EkDgipgp11Wm6UWIen4S5HvcnxenRTmuocxsU5nd7JghEPGfObm9nsk5qkAyIP0gJUuPIQuQ79mCtsN3DSbXv5J8c6N/oQoV1ec3QH5Xnww4O/mk2hYKeSbpkAz6RGPWfl3TiWVPPI781ok0LzTy8d/6ID3+1NgLi3ol6lMbQsoEFkO6WORbsOpAq3GFII6A20/RJ+/Pi9qzTX0+qwrmRHQGknkYBrGhhZBAYCHIoiQVYsuP1P7VIbTtZpC+4l3G+rep+FbFZ2wyAmLSknSBRxZv0DM7QQKziRAHOBpCHz0Nqd2uClnk1oI4UlsgTLYn8wYR9W3oU2bAqmav1FYBT3PcBdC++vZ5lyy896/EYN8p9SB1wr4W3v4awMgF0ZMMJGLEQyEB8vUAvmJma1ojNkFEMyFih9tyccwJiIBqXv0AJ4g/MQCyYNZA5p8vIMymbGPS4dZjKV6XOjwhM+3LCh5FjWyrh5AgyuctDkxPVJn8rZAFzSOIZsNKZjaoHuittsZc/KVG4ZJ3q3qWODxTuzdj9Z0zN/XMn0PGgEYQMcl8o5bvaB5cCRKUTH35xKwmyfr0YEgbY4vdMojoOYgA8DpIJjMRUqawB1JD/SVkjl5swkYIhWSD5wE45kxO8Qvrj3zGx8XTWncTAMD6u0dilkfv/gXyvKpBFjsZEN/kjHoZIGPRixC/8BeILZ8zub4TgO0fV+sbXder8ttWLrcKQN9/O/vAFNE9Bo2HZJTNnaN4AK/4bli4G3iyGB0LGTOfKlGXhwBCQwD/Y2a7Lb9tnKM4hE0wFEB5yO9kKYB5lhiPKxuFlL6SfHuVn0eZFi4aZ+Nv9BiAsDdPha5T5+wFWWg7QQLT77FqWzqjdmjhG6m3/peYmTSupme13RrSRIRdnfvyI11sZ3XtDRC2znd5/UzmWNNkohMkUF40MTPldv+zM1dDOjS0tHYMES1S9/IMgN6QIP9cyNg0BcKWHmD8XCS6EMcBdIPY4/yA4jVdJ1bvXt7WvRnYgH5nvtt7Oy32NiSZwBA7jkWWHV+GBBc7Amiptm2BMECedNMjovrezu4rNj8blOlEmoYWLpcO4PWWB8I227qn/ERBAOFvDG1gUFlIHXsbyCR+FMAC/23hN8z3JRHsCQLQC+J8zuNctmsiovMA6ju6cFbXXM/M+dKTVjleb0BYAxUhk2Y4JAqbqA0MKgRgO6RlCgBkUy3NNBh+qLPj2yIGcKA6djiklaQ5O6ExVJ9tRR2qB3EAjc95NiQy+A4zO1rXbxHawKAXII7XE4O/kRKfefjRrfkT/9hnNTNNRM8D6MbMI9VC6iWI05ICcVSuQxYh5yDBjmSSevJ1Zdw8m5X38D6+qHGX3z2dXXvbu8efbl9In/DH3geQgNVaSCbGB+KYdIU4MfsgDsouW44pEbVwIvrqRLv+4V4uboMgjl8GJCI8x39b+D5rx/5b0af0JIL8ZvtDotiPITa6ZkXMlBy/LxUAGwugHMRpWc+5UEtXtML+zGxTOd7smPEA7rKVDiy5hbKpIRB7doNE3j+FZED4uwaTW0Fs2ZKqcPrxx+c/WHBz7SRIQGsfgCGWHHtFVWzIzA3V37MgDvQSFdBYB+AzZn6qOuoDrca5QByLYeqeYGDG8bjraS4apyajzq+2RdleDeBzZj6rxsyhkMziJggFui0kUDCeVetVIpoMQF+zcMmtlT2LfTW1dqcKBKpgT92i14mVyRcS75+DOHj7IdTkRhA77gwJKGyFOChnbQWoiOibWl4lHmxo3tMJEgApDRHdXAZgXvXt8/K0KP4nY7DvlMIQh7M7JKh6GcDCBdGTcnSwISkJewsynx2HBMVzFXAhadW8gJktCu5aOeYCpITtqZ07Re/tDBF3ewYylq+ElDreOdx6LEEc7yAg+3ys/j7V/cQ3ux5lJI+COLifQpTo082u4wwplxvNzCtUxv8kZEEfT9KZYAiAHpylkp4n7GgeXBMyxz9hGiToUg2H4yJPBpZq0OL5I1MtjrWKbbCLVWkYZbWOqwqx422Qub4MgEHMHK0WHscA9PD3LDvh7fLtqa6XXz9L5zdFVEpM5pgLixIgyZTvIYsKPYS52QUyn5yF2PGvbKNtNxGVBrB7fNU3P2vo4/8GJAngDHm+8wGs6hkR+q9nEZkjusegGhA6utFH2QFgie+GhTk0dkiERsdAAmsLAHyXmwBdXpJtJG3E32Dm4Y4eY+d85SEdHgZBOm/dgOjrrGLmjJWNQnwh7DeLoqqPdUmhw8/P6gHxB6MAvM3MRyxc5x1IAqQ0M7NiN7Zn5iEkpXqrIMHsiU87Rq1pMrE/pPzAz7jtavLdjJup9weHR22y6ssQ0WgAKcz8rRqn+0DG6fMQ/9oDEtxfBhmv9EQUCGDEqMqBPfY9unj1i9o9tRpQezmf9Xucd31n2vp7EVEQxsZWyJxRCWLHXSHz6m8QWz7ENsrfiOhdTyfXHtuee28vEQ2EBDOSIH7O7JYHwqz6IX8GCgII/zKojP67EEf3IMRpcajFSx4ipP4QKl+3vNyrnXOXhTja/SE9e8/8/OyrUQ2LlLa4IDY6LqPO/qb75Z72Y3VfFiPFyhmZAqA6qz7ORLQKkkncprL5oyBUzlc4j23rtIFBPZDVxiXbfSoM998WPt/KPfoCWM7M7c22N4W0fvKHOG4lIJmu/wGI7lqm2oxR1Zo9W6mQj8MteKJTE38L2L+8M2Qi7QIJHBiQtdA4k5uBXg3OdZnZbjvSAlgHEVWDfNctIQGu79lMWMvKcS9CJuwPc3GtaZC2YZvyer9WzksQ0bGxEMc104mc1n1d96POTqQpZ+24xMxk/O/inBsZrHuVrbS9Uuc/C+CKkW2hnOVdkFrTDJKuL+sgwa8ZeXFYDrQap4HYcQ8ru9wF0Lz1wbAcgV11T5MgNPSVJtvcIAvRkZBSgGWQUpdYAF8UdnItNdCv2fpevg3c3J2cs7HQCNYdlt8T7nXvc3L1Hkg2oyvkt/M7shYaDgeVlWO1D1Iutd/e/gWwDBUA7gZh0jyE0GMdYsWQtGn7KDeBh9zO47k4rxeyfrNVANwYULHFzv4VW1jsFmCc61ZHRxi+ur5nOSRTabHLDEmLu82QrN8etW0UgCKsyqpIdFpmAniT7ZRHWYMKHhyC+BSWsBRAv+ePTLU4TpC0wKxjmmQhKS18DxJo+R6yuAqBBCn21/Oq1K9nudbD63pX8jIeYxyFrA1GKfq0e31Pf1kesjDqCpmXy0AWuVsAHLS10LBw360hi8W2T5sU+S9DBYCHQ3RDHE7UqXloE4uIqaPXehlAU2b+KK/3a+Pc1SHM5dchAf598+uOKeTj4tnO1nHjLy1IupkaMwDAz9bmUhXEf5WZK6q/NZDS2NdZ2ow7Qxg5XpBER566m61pMjEYwiJ5AhP/OgPAi6+d/GSXlXvsBGFbv2+yjSBBxQ8g02w4hInQBKJNlNG9dOOVfcu3LOfjUsik0wxDA+tz8o2Uh1/2P/tdMCTo1wXCVopBFos3Vy04ieg7AL8zs01Nnr8CBQGEfykUde0ViDHcgjgtOdrDaAODKkAW6p2uJcfVreJZdC2Ab/y3hVtsO2J2jaYQ6q01aly+gIiquZDm4/1t336rhFshmzk4PRsO1dg+3+YgTURfAejOzJVMttWERAhbmND/XgEwCTIY5srItYFBbpDnXtLGbukAyvtvC88RoFCD2UVIvVRZCG3W9FUdQtMuBYlAurYv6ff462cCfZ1IQ+aZIFv4+fbFUx/9sccTstD4BbLQiLFzmFWoe18DYAtLJ4kCPAXUongEhIq4EqIvkC1LMtovlCAL9MFp+tTmOs4gL2efhQAWzIoKsVsPR0TfQmqd/7SFonIcurUo2mBq/wo9HGk/9vaAs5OX2zifE8RZX8XMY022hwHQMvMC9bcbxLbjIeNVriioB1qNew32leBXtT4YZpFqSkSvQRhIXyC7DZdX/z4DET51hpQzuH9Vr1tCmxKVrdbbWwoiMDO/dHTZgZupj4sh+0Ijz73dFYtjMyQglecxoQACEjVvo1DmDMiiIlv2N6xWqDckCfBGbEZcw8LOhY+6aly+BbB+3MUQm79dNfaeZ+Y6f8oHyLpOCQCjZ9V57YNmRf1sisQamBM0RGVbHJieYuN8vSGZxB6sugqo7H0EgFas+rATUX1ImeFotlDfbA87mgdvhzjwttDx+SNTrS08tkP8pVTknJP9ICUFldT7KONWRPdl7QGFPZ3dPSzNycyWgwjXU2KQcQfeAAAgAElEQVSuf3BhURKks4NxofFUei5ENBZAVWYe+jTnKcCTRN07kGCC1URdRMCYugCGZxgy28WkJ5Wr4FHkBwBfN947026mmERkuAQzT8/n2ze9BgFoVsat2Kczag3rqLHTGM3Ahvl9Tn9qkxFBRAcAuDLzsybbXgHQlZn7m1x3LCTo9qrRvh3FmiYT/SDdEGzd8HUA/q+d/CQHu4ZEV8mo4VAO2edjXwjL4hlIGXQSAPde5ZrH9q/YtkL2MzGMVTAEhiV5w9nXfju0OeZ0SUjgcguAndYCqY5AjYv7AbzPzIfzep78gN1+qAX4Z0JRnn8mojUQiuwkNejNgCwQDdrAoBchjnEhAKjiWRSQDENvbWBQOICR5uKEZigKKRX4sxH1WZ2AeSXcCjkSqHhWDbw6G682AAwkqsvGbWmQWuE+RPSL2vYLJLu4kYgGWqJr2UAP2A4eAICbNil2bDURvTIdvIyvihDqYrTZ6yCA1ZB65nQAAzTAoEm1WlcxKrQ6GjwwMPO+hzemA1j3NAsNUyjaWn8AB4gogpnP5cd5/6tQC7eJRPQFhJGzn4h2QRT1r4/2C3WC1Pu/DQDuTh5whwcgIn1jRvuFdp8VFbLXzmX+ClvWA/jtlTId2kMCYDZxNflWP5W9sGbHZSB2SyQlE8btKwD8RETGVnU6yIJsEqR3cy82ESB1AEPs7cDMr7YoVrXDkbhrhZEzSFAJQlPsBLFZox3fhtCb56q/KwMY3aq43/NtSlT2tRUEzHJbshCVEnfpZurjQSwtMvMFKmP0EYAVRNSJc1FKU4CcUMyD7kRUCxLcn0JEcwH8wMxpYbVCa0DorBUBoJhrUUACgx0A7AurFfrSuIshtnQAvJD/rSQtIQ7AzMZFKg6FnS4zGiLvzyJ/HbuVZlyDdVt+EeKHFFdsBFNbDiHREtBBdGM6A1hLRBWYebGjN7yjeXBl2A8eIDEzbQwRZSLnfOwL0UzYC1mcmM7JxrrlaAjL5GUAo/pVeL6Gp7O7B5BzTmaWIKBpDs9o85eTbv8MKb3K80LDAmZAxr++rDpJFCBvUMzV+US0APJdLyeiaEii7hgARASMeQ/CQiFXjTMqeBQBJOAwLCJgzMjGe2eG27nMnz4nK1/t7Ei/V1ZoSGNXdDkhM6UzEb0L2/51VQDnVbDPuC0C4sM0g9iwDvJsogDsIqJXmPl6Lm59AOy3ca98NO7ioNeJbiJngKAcRAPoKHL6139AggvGDlojirgU6vVW+ZZ+OS9hUq6FLJs2IkWfnnQ49so4AEfNA8V5BTOnqoDrBiIKsFW+9GejIIDwL4fKpu8FsFc52R8C+KR9Kb+V3z7zYihZ7/scBDH0r2ycvghyMcCpqKM3JPtifBUz+9v0ZWxlopt//VTyy745xE5zQC+zcQWIYIuLlVcVSFRxvNl2bwhV/HcLx+wmoocQFXhLyDaITqrVukLfivbL3S4lPhoEoXg/hGQbYpAVNBgCEXo5AslopEIWTKnqOmUhmhfPB5Ss5FrOw8ta1w6r2PvgxpZt9646rPDtKFjqVt+GTKyt89kR+k9CLXq/IqKvIdTDn4hI27dsUFwJ11LWgmveADaO9gutaYeJkFtbdoZt2y1m9n/jXJN8JuFy0YDiTexeI0mfUhQy0TvBsh3XgCyYnoXYvOl7rhD6/UOTbc7qc94nolvI2S+ZIEGObLa8qVlQ8yIulqQasj0PlwxDZjhEYPQBxJYvQLQ/HkDokAOQ3YaN/2eIYGIPAI3e9G3gos5p85oy1MmCIzkzw3DycfSo/AweZF2HN6rM+WRIlrgATwkWca6BJKV67wE47aZxWzGlenB/DWkqWjmsLUQo2Zaujd1e86ZQc3IhODYfF0dWb3g9gMfJmeme3i5WG4M8QZwutSyEVmxtTg6AjFUjkNOOW0D6sROy2/IcFVS1RiHPhIkdtyte2zu4mv1qy3hdSkfI4u0hxHZjIGNJtLoPV4hAZCqy23E6ZDzqBuAlH+dCRZoU8ffKcQEFo3kTslgIRIQryXduxWcmf5TfwTq1WHwXEoA+zTZabRbAMajvaA0RrYUkpkKIyHNM1bY7e5dv9ImVwwjAvIiAMZca751pkemiUBQynzgEFWwvAvvzsfFlDPylb71/DEF+1ir0spBmyCiELBFZS3ZcVJ23PICPzN4jCJvtqtn2QgAuEtEdKOaOGYxi4k9eIdX61KrnbVGqIRuiUmJCIJoDRv/6BsSfjoaUQ41U203n5FSWTkk1IFo3bbuWesbJReNsJytHYDCggoAGZhyO1c58mJGY7ywBZr5C0qFnORF1+f8K7BcEEP5DUHWD7xBRhZ7l66y3ETww4gNtYFC4/7bwHD9ORQuuBMCdiNrC9qBVFFnRwgSI0ukjSL2v8f8XTf5vfKWoSa/MzZT4t++mJjYq6+FlU734alLcLcgEboAETnZDaLxJ6r4rQ1ogRTLzOxY+12II9X6d2fbikFrqTRB9BTZ5z9SxcQHg8nypKqMgA6hNVPDwjoDQ/T3Uyx2ib1APUp4wGFI3ZXy/qNpeRJ0iEUCCf+Fi9r04E8RmpOoz2TBh6OmtHYcQBTGzvWh4rsHMZ1S5yHckrSQL6qXyAYqCv5KIVhV28gr0cvbeaOcQb8jvaIr5G+q36wXJkFdW2T9bi4jCkAldj+z2a/qKNHsvlpl16lrNr6XcnhBQvElVe2U2vydoEyHMgUiIrsFuCD3boO79M3Uvoay6rJh8rmIQpk57NtONIKl//BKi6n7e7L0cwYrCTm5HYSLSZA0lXL1WQhwVd4it+kBYEu6QZ/oxxLlyhzhNpSEaJp4QByYBQHJZd2+H9UuICFEpcXe33Ls0dkHU8ZmfEHVn5quOHp8LTACwk4g6M/Ovf8L5/5Ng5rsAgono8w4l2oZrSGPPK+4ZVis0eNzFEEtCys6Q4HimCvjYC+oZA84psDwnX4cI7ZnadoKakwsDeO1C0r3qzxWtbJNpl5yZnnzy8Y1akBrgQxBb3musHVfjQnsA8cycIzhCRIMhHYvGWfi84RBbGmhaS63O6QwTO+5WplEbiJaJTRR2douGZCBN5+TyEMEyP0i5UXmT930gc7IxUJoEILGcezGDAz3bnyDDkGmI0yWtmnT5h4dpBt2i1cJ6zO8gQpwKIvygAvu5YWIVwAqUb7MPwD4iqtu4SHlHWhV+CLGFHFBs4fIAbhFRB9iek30gi3MDJHhoaU6+Zb7NqIVBRNW1ybeH6QyZDewtkq+l3L0D0X94BJmPfwVw3MheJaJu6l53m5deKJs8DJPuBibvVYPYZggzbzB7TwOzObmqZ7n5kBJtmyjnXnwHhOVnnJM9IOUJjdS5JkJYisb3SwIoSSKYmgmZkxPLuRe1Ggg0BxEhJj0+LTEzbdhU7ZZRU4kOM/N2R493FMy8lohaQebm0Pw+vyMoCCD8B8HMt7SBQY44qRUHRGz5cT99zcgarNwhg1UGxPGNhSxmjQPTXYiSqakzEpfbiZCIXAG8rMoRyuqZl7tonEIBfGpr4TH36gmGGNRJSFbjJQBhRJQAGax1ECVxa0rOn0DokRtMKUfM/EgtPJYAmEdE7xtrqdXkkaFeAABtYNBqiPiVzUVSgyKlv2QrLbpIVF87QwIM3SGt125AnKbNbNIa7HKnYf0gNHab0CbFxoZFHsk88ij6lzRDZqY67wYi0jDzXHvH5wGLIY7jSNhmsxQgl2BmHu0XmoKshYBVJGQ+HkZEFZE9qOek3k6ELDwGI7vdXkZORyQ5t4EgIiqn2ChvArh8/PH58H7lu1dSwQqLeKxLTDsQd/oGpP1lMcgCYwqAOiRtEXdBMpMMC7bMzLFE9BOExTPb7L3tRHQPwGoieo+Zd5m8p4cER54IjR1oNW4TJEtsCzcnVH/x0233z1tTcC+l7qMKhGlQEcJO2ABZTD0ZO04GjDwCyXTaxOrbZ2/+9uDKqZOPo+tAaO9XIeVWPSzV4z4NVADoTUgQ4Q826XdfgKcHMyeG1Qp1ZLGp2ffo0JL/SbbOOCcbnVvjb9cL0krV1G61yBnUy1XJmloAtFJzcnMAa9P0uiBI33RLnwlEhPX3zqbqWP8jpBzhOUg5xhiVhNgH4BRk4WNNI+F7AKeI6Es20eFQWcKhEE2JX4noVWaOU++ZZi0BADuaB/+qnoE1AUUAQBEXz6XMvNDKMygKWTRNgcyd3SDMg3kANrLSbwCAjc0+rgXggj0fIEWfljEv6pdUbfKdeQ8yEmpABJynA1hMRP3/hCBCBBF9A2ABEfUpCOznL062HX0Vwg61CWYOdHdyWZhuyDRlDRjn8lR1jrKQcd1otzcg9mIe1MsVPZ6IvBQNvh+AzJiMuCUAlkM6K1j8verZYFh/b38GssaWdpCODouIKAoSUKgMCaBZmpOZiKZASgl7mb13RQVK1hNRJTZpJ60+W7p6AQDWNJm4BvYDCIY2xetN+ur6BmvixsaW2bcgttwG0h1iA6SFYrxx363PjpsN6URjE6fib9xdc/fYw4jHUTEGcDTEf99KRGTNz39K/A9SAnKE86AJ87QoCCD8d+FQxrpZ0XIH9z+8uR9ZUcsn2TwS5fYjzGwvA+owSOqm+kEMbwdksDnNzKwNDHIyMNfXEL1h6Vg9G0J33L++DEJNYgBjmHmtOq8vZMD7AJJFqEVE8ZBB75RJMOA6SR/t1yE6A0/AzGlE1AfAZ5CBrhdbaeXjvy38nDYwaDtJ3bA1B+J3iONv/gwKQdo19YaIvBSDDGqTTTMGyqFrBKB3aTfPl/e2eQvOGttlYffTk7/c8+DGe5BM6KeQdnKnAQwlafMzgfPY59gS1KQRBNFDOM65aEdWAIfgkB27adzTIW0/jQGCONPvmUS5/a38uim1OHgJYsslIc5Je1bij981mHw9k/X7ncmphPmxOkNmkpdzoTZ61leDLLK/BzCHmecqhsAzkIBCU8gcNoWIfoNkPUx7W88CcJSIFprbKUtLxU4QO57HtttXzmPmoSqoaQ0zWx8Ms8TUqgRxThpBFlArAEwDEGHGYioEsfXeQ/2erT60su34gZ4N8fOuH1makJneHuJYXYSUPh2HOBRvcj4LLDHzHSIaCWG/tMvtArQAduGQLfu6l40EsBBZC4gk42+JiHoAaMb5qNyu5oW3IU7/BUgQfZBxYXu49dgPIfX15schXZ/528FH2r6QoP5uyJwcrN73gTjt/SHZfQMRTYUEBw+z6pDE0k3lS0jJ4WjTa6jP/QUR3YCUGb7MzFGWPsfzR6am7mgePBfAJBtzciKkTZ/5Z3GCdDTpDhl/pkF6x3c3DeSrfSsD6EWgXt/UH64r7VbEZoA3zZCx+kjcpTqQoGJnSOD2JISh9IsKjDjcMtBBLIAozA+FtHIsQP7BHrMXgNhHBY8ia7XJD28jK6hnyqLZAulckqN9cV6g/MU2kDm5GSQx9Y7x/CsbhWzQs76OEzk1Nj/WwAZ2Ik3f6LSH1yC/F2MbxmXqvP6QObkrhPFYRrEAd0OCaMa5bjuACURUj806qTDzA5L25cuVDX1gI3i2TvnqthhbP7128hNLTK1iEFZvD4gOwir1LEaYzmnK5gMA9G7k49d5Wq1eOdrUmtw7iAiHY698duLx9TEQNsg6SDL1JIBviOhTSPvPfAvYqbGxN4DtRPSCmf/zp6MggPDfxSVk1TJZQ+aQKo1WTY88Yk2kI19EXpRBvwlxUmIhWevxbNbexX9buN5Fo9k/rErjou9WalDO09mlthNpMo7H3knfeOfyoZ+iL8ax0He7q+z9OjUIT2XmaAht7zWIcMrvkOzEaACNiegSsmjSnwHYRERrzAcwFQ0NJqFV7lIOy11tYBBBBpu2kMzusb7HNyydULNVh1reJSzZ2VUA3f23hRvp2CUhg293ANX9PYseDqvXIc1N4+RU3at4M8ignK4NDPql2vavq6vn9QokepoZk56cEpkUu7e2d4kAa8/5flpyytBTvzaAUFPHqGcdARGy0UKyrO8S0WXIQsT4uvE0gx4zp6js5ToS0Zc8tcUsgEVctr8L4KZxP2FtQUm20mO5BBE1hDgonaCcBWY+Y77fwHNTIou5+Nz8oMpbWwo7/R97Zx5nc/2F8feZ1ZB9V/YhVEpjl0jKhBYqWmnfRopKaZmY0qLSZmjVpkW0RyORX1KRCSXrECpSypZ1lvP743wu1527zoylus/rdV819/v5Lve6n+05z3lO6b5l4pKS8jT/r7mbF235cMPM3I17Nv+hqvPFDE1vB74VkTvU5PPzXMTjHEz99AwW1XxdLNXoS6wffw6Mx4yrCjlZq+ovLurxtluIDFdVnd5+aDmgD6YW2AKx7z228uNFtzQ8rUWCf4nnMzh1jfsuT8D6cU9ge59ax/9wTs3jNlVJKFO3UkLps7AF5l9iPgxdMaKwJbYoq/Xe+h+/urpe646xElNIJeZZqLz28/w9W/N252LjbzdskZIGNMeiWNNEZIO7pqcfZ2sxvUhUdbqItMO+z5ARmSgiQlilGpPLNHhfA5c2rUgEHgiB4AjAs7G+XAkrM9pZ/bild/jy0S9OqtRw0QNNz16TrwXdE2LiCtbt2vzX5xuXZz+35sutuQX5fwA3O8XRk079c7ubkz9y76/GvAXmY+T9E2KeQzOwefktYJCI1FJVf9HNt8RM7CaLSH9VnQcws8Mdx7jPcQSw7KEVH05oV6nxHZ0qN/Vn/LgNOOe0rx9c776D0pjp4tlA+7KxpbJvatDj7+oJFXbWSarSLC4mtixQMKXNXW/0mPuAZ8y4ANs8rFM0ad7mFR/1qN4qYKQ0ryA/P2P5hGOA74H3sDGzjfu+W2PluH8RkZVYH/f05SXFUSY4Yv86zA9hnqp+W9RrRVEIWzAlbigVwq9vtbx0asrMUYHWViXVl2tjFSP6YuvecVj5xP1UCxd+l7G1dGyp7Kvr9Fx5TNl6Jx8Rm1Qd2P7tlqUFn/7x7ZLFf6/ZqKpzxNKj+mNBodHAs2oVQlaIyEBsTfkiZqb4IHC0iGRjfXkG5qUzDDjX91nVDAL7YBWLJjmFzI5XThgWjwUkTgRyIfazJ396/YPr6vYYWCmhrL+o2Sy8zI/FSq2e7V4Vji9X75sr65y6KSkmMaFGqQpdMNXWVhGZgwUmLsIUvz8AFb7bsnrN1rydW8rFJRUyYvPMyT9s/XnLBxuy6wF5qtpNRDyftQw2Tz8GDBORH/FaX2sxqxup6s9ipdPfFJEuGkF51+IiWsbxP4qc1LQ++ETYfbEtd/fkFtNf6BnouIhMwFIKIq7J7Ni907AFSjOsNNOrblER6Jya2GKiHdBHoNzybjeMajR1zE1YHuQFQG918l0XMRzo7nEf9nl/xAiE59VVVXCL/mMwBrWLex6wQehBYKW/DbSInAGMHNyozdDrG6Q8gPkW7MWvO7flP7xs9qdPnZD6FpbLfSRmyvQG8GqjqWNqsG9QS8JcnD9Yevp15WMl5kOMNNgPX/yxdtN186fMz9WCdzHjuDOBJ4GXVnS7IQ5jPVN9z/tz946d5eITWzSb9uwJ2IZnLBbFmgC0cQuKUu78OdhCrjU2mNYDVrBv0PtWfcoIhgMROV/gih9Pu/aJ+JjYa7DvfCcmCR2bnJX5c6TXjAIG1cv4FOtLheCZ3PI074yn12QESpUpi5UWauPveCi4TfvFwKWY4dhLmI9IwPrOLpLdUFVvFpE5STGJp+8s2L0Vk2c+6q7XwyuyWh9TFsVhpF9drKzlSap6nNd1S2ORwlMxxVEi1k+uA6b620CLSDxmnpowpc2t2QkxcSOwDcdefPHn0tyfdvx28dV1O7bENuyJ2KL/mX7fjfty9c4/T8b6cVeM1PkgKTb+41knDbgXM4bbD3laUDB86dTfPvl96cdYn+qN+cTcrarZC7vc3BYbDyr7nrtmx6bpg3/4+PyVO/56CFMQpWCE4gZVHeM+U0uspv0dWH52a4ykiHPfsacv/xCpkkAsJ3VywzIV3pp28gUV2Zdm8jOmFnm7/pSxUXVChBjZNKM+RiwHJPRyC3J/i4+JP2rIkvRAqTKDMEWCXwl+MLh5sAU2X54GTAFeCja/i/kQfIVJmRW4Z/ZJt/bp8OWjbbAybTHAa+o8hdw9emMpAOMxldDLuBQLVX3c69p1sD58Kvb73Y1JjgcCC/xtoMWMzyY2KF31wRdPuOJCbH7cix35e/KfXf35hivrdLkmKTbhSmyu34GZuz17+jcP5bpzzsZUEZ8CH7x4/A1raiRWyHLv7Yd1u/7adseS11f9mbvtLYw86I/No4+93+quLdga4nbf83YX5OqOvN3nXr7wyXXYPJyDkaJzgJPV0iYFC2g0wgw0W7rvohmWiulN9P8cKdEvVg1k4tDk/tc1OaLupdjYKZjRXGa/+cPnR3K9KAzZnQdnEMJw9u+83Q90+jLzrkDHRWQRcHxRiCK3ljsH68vlsLngLVUNSEiISBts7u0EPBGDTM7Xgqki8gK2Fr4NaKeq21z78phCuCOm7F2AEQT5QFevdnHYHNUF68u1MOJ/NPCyP0LQnXcDcMmwRlc/Wq90rafwCXj+tGNdftbvs0femtz7D2wOqoileIz7eecf7wxe/Oyx7jvoiY0b7wMffNT6zk7Y2jcWH3zw29w/Xlj72RfsI/JaYP4CH37a9o4a7v1C7ugbdm/5dVd+7olXf//Cpdhe4yJsvLpQXZl7sXLcU7C19zasH7fGfJAWsT/RH7E3iYgMT4yJLfddlxvmYv/udTHiYiIwrtm0p0q8okeUQPiPIic1LRab5PzaEu8pyN/Uc/aEjT/t2HybBkhREJMNX6mqYW/8RCQZ+3H3wiapl4DZ4Ux8IvIW8I6qThSRUdimZ4qL3k/DcgeHYVLpAq/zamKTeENs4PoFuE5VA+VGeciNlzAGsjY2qU8HPveWCfWqdXTXO5p0+KRyQpJfNY+q/i0ibZKzMhe7hXdLbHHSAzNc+wCrBb4GICc1rTpmGleIPPBsBmf8vvrza+dPqYktKJ5RZ4bjzo95ec3CjBMr1OzbvHy1bb/u3Fb6i41rl4xaMSdvc+6u91X1dRG5B4useJyjn1DVz9xnL4WZ2Xyuqo+692Lcd9fa61UW20B5Br356mNW54uc1LTYb/785Ye2lY9q6ufwDqB3clZmiZvN/NsxqF5GU8ycrKK/4+t2rV389oYXfwMuUTNt2w9uof68qnYL956uj5yOyY8bY6TYa4EWAz7nHon11zbYxL5YVZu6Y7dgi/AWwHT1SS0QkdOBkZjkcya20PZLnrj2FbBNSmOMZNyFKRNmYOPOTtdOBtQ7bdI5NVMKRQu9ZItZQPdTv3pQHemSivXlVpjq4QNsTNoBkN15cBqW/hBI9ph7xfwJM37Ytr4URhx86X18YZebK7+8Nnv2+bWO214mLkH+t3FVne15e26/c8nUwRhxsslFJre6ZzsLaO5ZcIrIiVjqyHnqTKscwdKCff24uTvfeyOSE2o8fi4ltU3z8tVmVS9Vxp88+xvgjPpTxhY7evZfw8imGXdjC9BCUNW88b9OWLno7yUvYeXi/NU3z8BIoYnh3tPNnx4C0GMgODkcYklEbgaOUtVbRaQvcIyqpruN7wKM2JoEdPQmnd3vcAhGJpTFyIRFquo3qOGudzQ2bizE+vMi9kU1l3h+s3VKV66Z3visZcllqgczPuvTefZDE921k7GNxlkYkf8R1pe/V1Wd0uauGCz63yLQxTbu2bq4/4LR+e75HlKf0mp3NurTI1/zX2xfqemvO/N3x/3vzx8Tp29c+OaK7esqq+pAEemMqXoSsBrvG1T1fq/Pfh8mE79EXeqZG0dbsa8v18bIS2+iP+SmYWD9Pi+nlG/SP4AQ7bZ+84cXSk+JIjiyOw8uh80JfktxbdqzY22vuS9t+zt/T/9AaiKxtMJm/o4FaC/Y+vJybLP+MUYAhqy24Tb5X2PKhB/ESotfqaprneLgRux3eZyqXu9zbjNcuUpM1XpcsOd2a8xrMMXcH1j/n4X145neKqce1U4a1LtG58fifJR/njlVVVeLSEr/BcP+coGAk7G+3BVTdL2PjWUbAT5uc1cbjPAMmOv7+i9ffPLWui+PwvYME7zH2WnthpZ6e903b5xcqUmjGqUq5OVs/63iyu2/T3zyp6zOeVpwnZq/yDuYAeYSbMzo6dkjiXkhfYKpHT/0+u6PYV8/TnHPl82+vrwolLLgvbYXlS9AVzctW7WCn8PrgNOaTXtqcbBrRIoogfAfRk5qWgI2MV3Hvg2rYizZTY2mjtmOLUB/wFIK9uSkpiVhUr3eCzdvOKVJ2crvJsbGPQPMSc7K9PtjEnNsPh+LwisWcZgUCcsmlq98Ey4qKSKfADeoqx0rIu9hHb4fsFRVR/u5xvUYwRCDDXK/+bbxaT/KffY3sI59KjYwV8Qmh+nZXa7sVC4+sVCE0Rs/79j6eZdZ45dh0ZQfsEFtir/J/fuu1wwvHRefHux6u/Pzdo1dlV139Mp5fstXich4jFj40snXXscIm1nYwNoSY40/wUiIAmzh51mYJGKLvlmqOjLAPRKwydEz6DlpWWCZZU5q2p1YbetA+ac7gKbJWZlRg7YIMahehmcS995M/wU8Ddz3xJp7U7GN983qzHaGNsyoD1yzK3/XKZvy/qpbM7HWU8CLD65MD1QWDRFpjC1QzsH6wEuYD0rYE4mITATeVNV33SL4VVU91R2rgY0/Xd31u/qSEm6h8DX7DKY6Bbu/iJTBfpdtsfSBzlg/7oAtYGZUjC/zxdspA952E3wheH6zz6/5fNSEdXOaYvnKWbgyq75RouzOg2NzC/J/io+JrR3su1i1/c+P+sx79Wx/z+/Ijy+wKJSKyDAs/QjgVFXtJyIfYtVezsdSNZ5Q1RFe12iBbc7OV1W/iwcRqcK+yGZrLNq5mgAyy5+6Xx+PKbkKRWO98F79KWNDumRHsT+ckeLVWMUO79/OPOC225fe+1H1lLIAACAASURBVA0WJWyAGZ5tfOH4YTEYmXfpul1/dEqMic+pnFDhcWDyVQuH+fWzcYvWVKwvN8TmiNdCzYk+1zgK6wNtHVE+DFimqm+647djCrO/gFRVvcTPNZpgfXkrtsZ4M8Q9+2J993ps/vFENRu572hG5nGXxjcrW2tskHmG3QV5v3T/ZtSrBahfIt8b77a87fRSsQlTgxCBiAhzN604Y9jytwOpvG4EElT1MbfRW4xtLrKwNclibM69CisReRzQ1PPv4c4ZDjQBLva3mXBEf2P29eNWmHza440yF1Nu7A04vNri3q4Y6REMPfvNHz45RJsofJDdeXAljLy+ACOGwAI2bwKDW/7v8VrY+nockKmqOqP9HRWxdfLpi7b+cvKx5Y56Bniuy1cPBUxVdHPWJe61FpuTp4TacPpc4xagmqre7v5eCjRT1QL32/seUyZMwlTHM3zOF2wt2ROL7Nf1/p0FuOen2Di3BDPa7oLNzeAqqL3Y/O5BsRIbMEAA8OO2VW8+suo1xeawQkS+Nya1HPJuqdj4XsGutzl3+9phyyY0zNm+PtDYmQ10U9WNYqnSZ2OqgpcxdfQtWJASbE+yACMRPGrKqtja+371qTjhdY8y2Jra05ePw9QE3kT/Ku91w+LTBr6JVZYKNO6tBpo0m/ZUQGVopIgSCFGQk5pWBosGJgI/em/gXKTxTuCMO4/ucOfl9Y5/AVtw+OIV4KrkrEzPJlSwQeEKd+13MblSxO7gIpKEdZizvAiDxRgJ4Im2nY1Ji4dgC5Kz1cd8Riw/q8B9ns1Y3vLzvot/r/bVMdXBibq/uUoZnEx67ilXDKqYUCqoSVKeFhScPuuNc3/euTULm0BiMSmx55WEbZjOfbfted2OK18tHBOebslZmf4MGBOwwf4Yr+8mG9tYnoQxv7dgEayz3He7GCtls5cNdyTCRMzM6qEwngex0jcp7Bv0mmGS9rnl4hK/m9vl8qdjJaaQaZ4PHkrOyhwazv2iKIxB9TIaYIvMncA3j69O9zY99ZBJX9xWP31drMQ+RWEZ33bgggdXpn/sdV5ZjDS8DCOJXsJMjCI29hKR7tji/yy3Ke4K9FLVNK82H2HSyNrAlVhfVp/rzMfSDgZgffkm9eO14NX+ZqC8qg73eb8ucEqPaidcOqhhapdQz79426/zBy567RJs0QP7SsV5+nItoFeTI6pdMD7l4nCiR2tTZo6qG+CZL8b68Z3u75bY+NYXIy48FU5mqeqHbjHzNjYW36n7JKQnYP/ufcKMRgkmf/RWHFXBSIO5T53QtVTPmsnhlI1qVH/K2BKtBvFfwcimGbHYvFkRWDtkSfp+aQRiXj7DjypVfdC9ja8bgm2ifTEH6HHVwmHekf+mGGlwFlYBYRxGEEW8EBQRz5zuiaRNwKLv893ftbDFfGv33xc8bb2u0RqLbiZjkcjJ2MJ6W4B7xgDfYqqan7zej8fJpB8/5sJBJ5SvE2qe4dnVMzPeWjfnCWz8iGH/OTkOIxzPvaFuau8e1U8Mp2pVevc5I/yqR0Tkcyyiu8r9/Sym9FuJ9eX2mGKgifuMH2IbiIGY6tKz+RiGRSsvCmeD6Obx5uzrxy2wNci3wNyxxw25onRsqY4hLvN5v/nDQ46NUfhHdufBVbDfJsC8lJmjvPtjGYzkLz/u+CvH1S1d5TUKKwkVuKvLVw896HVePGa4eQU2Vo8HxmsR8unFFIhTsFTW7W4dN0NVW3q1uQsjAj/Ffq/tfAOAIvI8ToGDrSPuwqqFBQostsPKNp7h835loFP1hEo9Hm564xWhnn9L7t9/3bT4sbOxdX8BtqbxnpPLY8RGr7dTbu2cFJsQUH3gtfmu1XPOCH9qzWTM88ET8CiFpQQeg+0rjsCUAy1U9S43Bi7G9i9XewhKR9p/Ajygqu+F+ozunGrsrzhqAKwC5nat2uCnJ5p3HyeBGNN9uLjZtKfeCOd+4SBqohgFyVmZ2zH5UCG4Teh9R5UuN+f06g0+JXDJuP7AehHJdP9/ASYxfAmr0VycUkR3A697kQdlgF0+15yCGa/kYUqF50XkNN1f5nkCxvj+jjGdwzCX9sHqU0ceQFU3iJm4XY6xq573twOf5qSmfYYt6IMiTmJixKK/nshgnnslYbnD5bDB+deycQl7CM/FN5BjdxdMBub93WRhjOmbInIupj6o7z7LTjEzpYFApojMxgb17W6R+raI3KmqD4R6ILX88s/dC9i7iGzVuWrdXmGQB2CpHVECoYh4fHX6KmxSKQQ1s51TW5ZrOz5WYgPlXpYBJg1pcG/LR37KqIwtUFri49hcFIjJlkfi5W2AuSAv8Wn6EnCZmrS3D5ZP+LrXdRLZtzh4AdsojRGRhVgqgD9/jmeBbBF5Wr0kkm5Cf3l6+6EJWN8JinwtaIwRa2ALuzz333JYX44F1peJTQjXrLB0kGO9sQiGB99hm4E4zCBqBuam3th9liwRmeqe6Rsx08mPVHWBmFPz2yLSV1UXBXsg92+z2r3ehr0R62ZA6/LxibeG+dm6Ey3dWiQ4j4OAVTRUdZKIzD+vZte5QKUAUac2wKTSsaXO2Vmwuy82L+/E+tcwfxG6cCEiZ2IBKG9C4Gi8TF3Vqnb8gf1mr8OMPWfp/sq7E7AIXTNsE305MEdEHsDm/P02Hy4iOgLLL7/C6/1cLHXmm5kd7jgHI7yCYnPu9isw5Q7sm5PjsQ1cRVw5unLxSVuxTUgo+J2TXcSxrM/YORkbB28SkbFY+sIWEamgqptF5EpsHu0LXCIiaar6q6oOE5F7gbfEqkAFJRHUfGi+da9M9zwVgJQEiW9bKiYhFHkAcMqrLe4t02/+8JKuBPGfQMrMURux3PlCcGvJK1pWqD+4WmK5D/EvrRfggRnt71h76tcPL8D6SE/2GX7PKwoB6IWnMVNTz79vEwobur4KvK2qYx1R8CBG/HnjeNfua2wN9whwg4jcrKqFDGJV9WsRURFpr14Gz27+fveVE4bl4NXHAyExJqECXutzrB/nY2uZStgc+zvwawAT5L3wGkMDra97YcFQz7PuEpEc4Fhs/zEL2/d45uR1InIfRjB8LCIvAk97qRc+ESuh/k6oz6mqv2PjxmT3rIKRCK2Or1DzyjDIA7D1dYkRCMFrvkURhcPMky+teWRS2eDliPLzbisfl/geJrU5WVUvVNVPi0MeiOVXnYE5mHrQGB/3eTeRTsEimzMw07+9LqyuSkJzbCBZr6qbVfVmLKp6r4i8ISan9sUjwEC3afE80xEi0q3R1DH3b8vdHU7Jw4LpJ1+Sgg0yl2IsbWmMqbwCi4wepapt6pWp8FEY1wNjNf2hN14DnMNkbMIBI1cGAfGOxQZjlatjG7VfsM3H6U510QdoJSJ3h/lc+0FV16nqB4817/pamKeEVcosiqJBVXO7VjmjVohmicu2L/4CU6u8hil97i0OeeCQDryi+8uEm1CYQPgYON31uYFY2acaAJNa3iOxEtMMi4bXAtap6lwsEj8X+FJE0tyGdy/UvA4yseojeyEi9USk/+ifpvUN5wMcV672B6p6DEaqDMdSCuKw76mtqpZT1aOfPeH804FwjAT9KgIc2dIMGyM8n6EA21SepCZtvg8zfDva69SR7u9uwFUiMkFEaqjqQiwffYKI+M3LDQZVzVPV71X1hY5VaodrrBbtywcQzze/N+GYssmByAPcnqJznaSa87F0n4tVtauqvl5M8qAMtoEY6PVeLJDo57ovY8TjOmwu3WuSmN15sIhtOhYASaq6Va3+e2dMLv2FiBQqKYdVKzhWRPam0IhIvIi0E5E7Fm39pV44n+P2Rj36qeVqd8dk5WBGoEOBGqpaXVVbdKzUtFAFlwAINCefhSkwvDEd6OoW/c9gqs6t7Nt4bMA2I29iKpFPReR6t9kYjn1nEyR4aVm/cGuf6c8fP/SJGAl7CxBWacIoioaRzfrWDBYZB1i3a9PzYv3HE+G+QVW/LQ55IFb2NVdVvVNUCs3Jajn829x6fDTQXERO9hw/KqlWHBZ9L4fNyWtVtS+2qX5dRB5xygZfpGMmhd7PVEVEet+5dMxAd++gn6FUbMJqNyc3x0iNb7H19ae4CiyqWl9VT4qVmHAM37dingH+cA6mwPCGhwzMwxSTQ9g/ve95LLWhE5b6+KWIHO+IkjOAISJyPhFCDStV9a0r6p74cegzgOABi4gRJRCiCBch81lLxcbFzjv1yodUdYyGYd4TCk7KNwa40Ydp9xe1BFusXO7+f0iVhKSBsztf9lROatrPQEF2lytPmN7x4ozm5artlUeqSXpPwyKsU0VkqJMleY5vxAaIx1tWrPns6dUbLG5VsWZ2nMScAywsQF8N9Tm25O6e0WjqmMGY+VM6NsClqOqlquqbq1aoBrUfzEjOylzh+6ZbxHXC8se8MQdoKSKxai68t2DMrEeFoFj+/EA1F+wzgcEi8ho2IfQBWrjIR1GxFIvUhkKJmrxEsT+GNsyoim22g6JpmWNjVPViVf1M/Zi1RQoRORZL03nC91YUXqzswSb/nm6Svadl+UZvTUy5exKw/c0WQ7Ofb35z50uOPPXUyvFl/3DnFKjqS5jsuAFGgnXyudcLQN9SsQmD2lRsPKVNxUZrjixV6TWgzjebch4MZ8z66Lf5y0TkVaxKSVssAtRcVYep6l5SM2XmqE246H0IPBvg/dOxqhG+fWYyFkUAK223A0unAkCtHFsSFkE9B1NLzHARzR+wiOZbInJ8GM8WCCHTIByiffnA4hzAL3ng/f7gBv3eUdXhqrq6hO47DKtn7m2eXI99/hze+BDo7sjqVxJj4mo83bzXmOzOg38A8r/seON1s04aMKh1hTp7CXpV/V1Vr8bIvqdE5DkXxfccV4zAGN2gTJUHO1dpPK9lhTorysQmDAQ2xklsyJS7fC1Y1+2bx44TkS+xqOkWTKXXXVVf0/1TKMZjyo1g+AtLSfCH/aKW7jNsx8iKo934ehW2AfI2anwMuBUzdWyHRTFnikgzVb0P20i+XRQSwWEHljMfCuspgXLdUQRF0PW1qlKrVMWkz9rdfqOqvqkhDKvDgVhq4ggKl+MNtr6+zPN7rZZQ5bkHjk5/dmTTjD8H1rsu957kIfWurN3v+uoJVbd4PffnmBJqDTYn93fres/xeUBejMTc26xs8pvHl2uSUzep1gyBdut2//F+nuZ/GSqw/uuu3z8XkcexeakfNucdq6o3qupXPnNoOOvrl3vOGVHIv8GpaUULV4qbgpuT1XyGxgO1PZ9TTZn7AZaqORgjXl9wKqsdGIlwq1NbFhXhzrXhzt1hIZrCEEW4COZo7I1wpH7h4jJgharO9nm/KZbnvx9U9XsRqSwiR67odkP8zvy8ikmxcXtlVuXiE2PLxSf2fqNNrz05qWknJWdlfunOU+BdMWPG2zCp87sYW9exVcWa5W9p1LZBSsWa3v0lAfju4rnvrRvTojvl4/2VlYY9BfmaNv+T8lhkv1MYm5RZGGN5dYDjm/GK/PigAzBHfdyzVTVfRL7FNjyz1aTOv7nreAwgJwBDRaSSmrPtGZgiYRY2yVyA1ZkdjslfI2K9k7Myf81JTfsYn7JafhBoQxVFySCsfuwWFyUCN5GOpTARCBYZLZRriMmsM4B3JqbcXVlVO3kWEiJChfgjqp9do1311GotH57U8p5Tz5t33w4AVd0C3CKW6/2EiAzBfsPNBTmxb60OZXtWb/lQ+fjSnkV3HWD7Tzt+nzL+l9nbL619UqFKFp4I77K/1+8avXpabSwieLmGVlbdgUVTjwpw/CMCkwy9McLDF9MwEtJTy/0KrE58dd2X//oIcKuq9sdqaU/HlAkXY6qsPsBEEblIg/hGBMFLmEdFsPXDz1iOZxQHDv4ieoUQ4z/yVyQ44qkTlm7gDb+bDjWJ73Sg+7xOgz7dlZ9brlRs/F4X90STFPcY3bw32Z0HX5syc5R3quC3ItIRM4f7Qsx0bTPQsUZiuSNvrN+57smVk7vGSIxnQ1IeWH1J9kuz7m58VkGDMtViAqkznln9ee6egrwkTJXhtxqTB93njNg0pc1dN+K/P4LlXV/bfc6IQps6F3Wtg/8FvocMXKqqa9ya43rcHKiqy908fZJaiuUAEWkPjBczT30QI1kmikgfDVI21x/6zR+ur7a491n2pVYGwvP95g8vNokcRVAE7aNev+ES68uYgu5ZPxviphip5ov3gHtE5M6Hmwyvlqd59eIkbq/67Yi4MkmN4xr2SKt3TeuRTTPGD1mSvhpMvQaMFlf2HUgTkQ8wj6N2rcofV/aMaid3qZFY1VvhnJ+v+Z8/v/bdbdfU6U1sAKXM1rzteY+verMGlqZ7ZxjEygtY2pJvcMGD5fgoIrxwjvsO9oNaamhpEansAh6jMD+E3lhgEiyVb4qIvOTGtfZY3/0Gqx7nnc7wVojP4A/TsdTVBkHaFBB4DCsSogqEKMLFyjDblYhplos43Iaf+skEZkjBpMSXAK8nxcZV99cgMSY2AXgnJzWttLtXFRHpjZm/nI3lT/UFOqc36fjcG6171U6pWDPOZ89cD3iuXeWjhryy5vvrsAXzftiSu0uzN62//Ju/fm2tqi+GE+F0lSyuwzYfvoY4U4EOyVmZgVhEf+kLHnhHLsFIinNFxKNCyHXvXe/+VlV9HfNLOB3b7AzFvvvhIiI5qWmSk5rWPic17fac1LQ7clLTTnGpIoEwGHO9D4Q3iW46DjR+I3Q0DcLv7+HgSuBHVf3a+02xXNwtAcioBUCt25P7dgbGBpJoJ8bEe1QAiOEYsfrRwzBzqepYhGXLpJa3/u/io06u7kUeeNCtWkK5b2dvyvl7V37uCF9iQETI2b5hw56CvHp5BflXq6qvx4hfpMwc9Su20XoHG1M82IyNNeelzBzlr5Z9Aha18SVOPdGMjSLSwP39BxbdeUH2fUmfAMeJmWaiqptcRDcDW9CchRGCr4uVemR5twFllncbcMnybgPuXt5twIDl3QYEIj2oP2Xsr9j4FAh5wDX1p4wNJ70riqIj3Lm2RPqylyJwgNsUeCPYnPwyFgwYUSo2vp2/7h5jP90x2Z0HN3f3KiNmsDoci84rRsb1O77cURPeaXVNYucqjRO9yAOwEs13pNXv9NHDOZ+MwCKe+90nryCf7M2rX5i47tt6qvpwKPLAg+5zRrwInOfnMy4AenSfM2JS4bPsVKyMnL8xzndOHgtUF5GeXu+NxMtnSS1XvB22GfgGq9LyFUYUJgJMSElvNCElfdCElPS7JqSknzchJT2YQuFJrHpFIHzP/umjURwYhNOXC7CxvtgQq87THueL4YNkf8/jNudfVIgrfybwbpzE+Y2aJcYkVMUrz15EaovIJRjh1YF9Hj517kq+/pXLa59bv0Zi1XifLnJCDDGTCzSmw087fr0BSyvYDxv3bN7z266NHf/Ys6mnqk4KR5XRc86I3ezz5vE2gczFfJY69pwzwp+HEtj6OpDhYRaWNujxjfsIGOnSvVBL4ZqHSyVW1VxVfRg4FzObfBTbc9wk5lfE7I5DYmd3HNJjdschd87uOOTW2R2HBFQNNpv2VAEWdAyWNnlPs2lPrQ5yPGJEqzBEERZyUtPaYuYowbACaJKclVkSkueXsTrwhXLnxczSWvtj3EWkSssKNb96s02vYCXGAMhcOW/6EzlzK2OuxLMwV+ovncyfuJiYLlNPumhy3dLlg+b/DVwwdfCMP1Z36Vmz0XFn12y8odERlVZWSSw9rfWMcXU25e5CfZzfw4Urs9kKU0IsT87KDDh5uM3DYiw1olB+q4hUAqapaor7uxNG0JTGSuUViJXbnAecoD4leETkdGwh8QrQqnXFWhvHtzq7jRTOUf0RuDg5K3NhgM/UCGNoe2DmQAB/YkY+IzxVPKI4cBjaMOMFbFMfDHc8uDL94eLeS8w5eCbQwZdAE3NhvkZVLw9w7qD7ju7fp8kRtdsGu0duQf7uq79/PGt7/q6mWKrM/9xrgVPfJJ1a5bgnbm5w5jWBIpIAO/P3zO2T/ehH1RPLX9irRkrMCeXrrjuqVKUfdhfkTjp33lOjgXNVtUibsezOg2tiEuQ9mBN3wBx019fOU9VrAhwfjOWtPu3+fg2oirlwj3fv9cdSK27xObcUZkDXDduc3PtGq97vpVSsOYD91WP5mNJgQOOpo/1GNn/qfv2lmBLBuyrPXOD2+lPGzgz0+aIoGbxw/LBywK9Y7nEg5AG1r1o4LOzyjIEgZrZ7rKoWKlssIuOwtIZCpJeISJnYhIUzO9xQ380xATF309oFN3z/zg5MKfU1ri97oqQicvRDTc+Z3rFysj+/or1qoc83LnvonqUf1UgpX6/L2TVa/NmwTLU1NRLLz75t8YRV2VvWXA10j1RFBzClzV2CGT9WxZRTi7rPGRGshOzbwKNqPi3+ji/AlIlbxCoifYsF9k5SZ/YqIl8A16lPGVansnoGm3PXl40r3eGZ4wbtjLX0Sm9sAG7om53hN7jwaot7y2NjwaXs8y3ZjW2obu03f3g0feEAY0b7O67CAjjB8F6Xrx4qdmlcsVTXLzEiMNvnWAKQrap+fXJEpN0plTs+lVq1a0t/x2FfH3zp59c/Xrp9eQPMd8wzJ3+jZtwt1RIqXzk0+dpnE2MCez8UaMGWocseuydf8/t2qnRizRPLN1lfK7HKsjJxSR9e+f39F+Rr/iQNw4DQHz5uc1dZrDpGLPB9zzkjAga3xCpDTFPVEwMcbw+kqerF7u80rGz7b57x0vXX51S1o8+5ghGst2H98JpLj2o7/dp6HS/BApXemAFc0mHWSH+qTRafNvAkd412Xm+vBu5vNu2pFwN9vqIiSiBEERZcZHkc9kP3h3ygR3JWpl+32UggIp2xygun+U7yYuZoC9VMU/zijqPbf39V/RYhjcJWb9/82WlfvtFbA5SMyklN85RIC7jpAJi2YdW3NyzIuhbbsOx9XhcRmAuco14lpw4ExEq8DVXVc4O0+QKTbP4sZko3AXOMXeq1GRkBrFHVQrlijk0dVqvUEV3ea3f+MZUSkhIDfDd/Aa2SszIDmu7lpKbVxqJWO4Fvk7Myg9YMjqLkMLRhRm3MF6NmgCY/AB0eXJnut19EAre5/URVCzn/Ovl9VcfE+zu32uhj09ZWT6zoPz/IC59vXHjFmDUfvRpIGfBxm7texlzo/cLzOx6xYtK932xaPkbN+8T7WU7DSkX2DHCJEoOIPAO8r6qBasofDTypqqnu77uxWvY3Aqer6q9uIbgAaO8hRH2u0Rx4Jq1BKx2Y3NpXju6NSUCfxlNH+10o/NT9+hhsEVYJ+Ln+lLFR34ODiBeOH3YdFrkOhLuuWjgsZAWdUHDzxQysfNsWP8e/Zp9nSSH0rtU8867GXW8IdZ+/83av7zx7zIlqJqGF8FXH28qpVUcKSur/tGPjhku+e/kSrCLRfqS0k1K/qQFqsJcUHCHwHVaK1W9QRUQewdIOJ7m/F2PGc6d7bUbOxPKnCznSO1XINbHE3Phw02sqH5VUtXqAObkAOLNvdsaUQM/7aot7K2IeDALM7zd/+F+B2kZRspjR/o5ErH8FGos3A+26fPVQoWoGkcJtbhurqq/3ASJyDFZGtVeAc+XiWn3+bF7umEKpfr5Ys/PnsWPWvDAoUGrN2OOGX48pmoLis41fTXr3t09v18Jl2Y/EvJJaaxFKSkcCEbkMqKeqwwIcj8UCeM1c0KIrlvLg+T6nu3YfAA+rV9UJr2tUB55MKV+n9iPHnNsuSMWIJUCbDrNGBlyfLT5tYBNMgbkJyG427aniVMELiGgKQxRhwUnrr2ZfjVdvrKDkyINEzGgtLUCEoCEhJJnHlKsaTJK3F/XKVNgQiDzwXMo9U9DrnFa9wUZVne/7vG7gvB0v5+kDiGDpCx5MxuRbYFGJ6tjzXS37HK2fxnItY31PVtXtqnrbKy3PWlwpISkRAn43lbAcsIBIzsr8OTkr89PkrMxZUfLg4OLBlek/Y6kpM30OFWBy+1NKiDw4FfuNvRmgSTDZM6r6e5zEhqVIOaXK8T+FSCs4Ntj5nt/xXY3OW+RLHrhnmQbs8pEXlzhcv+tMgLK6DsuBI72iucuAI7G0gudERNR8UMZh6VCFoKrfP9uix6lX12/RPMQjnYelU/hF/SljC+pPGftt/Sljp0bJg4OPqxYOewYzDvaNSG3EPG4eLHRS0TAK877xRx4IVkoykPSXHtWbTgvnJkfEJW4PRB44NAhFHgDUL10lQc0A1t/4cQtwv9vgH0ichkUtgykyfdMYfsHG5SPE0io9bU4UP1Wi1Mxjn3mw6VVPBiEPwNb6IyekpAdczPSbP3xTv/nDZ/SbP3x6lDw4uOjy1UO7MTO91zDVkDfmACeXEHlQC0jDVGj+EGpO1orx5VeHc6+6SbXXBCIPHAIGAb3RtUr7n3zJA/csv2LpUQej7HfQ9bVbe3h8xsDm6MaY0vNJ2edD8wimNPB3jQ2qesHdjbuXClFusikhFKTNpj21tNm0p6Y2m/bU3ANFHkCUQIgiAiRnZeYlZ2UOxcqnnYeVIOyEpS0UmzxwGIJF35YFOO6v7Nt+OLZ8tdchdPkXbGAOhnA3tgFzrzxRRDFTwgMCt4DriasPGwR7yzk6smMrNgakAS+KVWn4DcutPMvfBXJS06RemQrhfJaLclLTQkaOozg0eHBl+soHV6afgk3i/TGDvfoPrkw/78GV6QE3AuHCLfJHATcEkQqH7Mu7C3Kzgx33NMOPqaoPwnWtDtZuMPBAOBuYYqAdVtc7YC6j+z6nA6e6t5Zhbu4fYR4jnpSQ54D+4lWC1hudq9brlhQbH1RS7nBZmM8exSHAVQuHvYxFm87A5uQzgaOuWjjs6asWDiu2xNSl1FTE3M39oTrmrRIQJ5Q/8n+5BfnhpDb6lfp7odj9WFV/wZzSg/l4lATCIfVnA+1lnzP9MqwM67UYyVHVHo3TswAAIABJREFUERBPEdg8mTpJ1c+CkMGOYzC1UBSHIbp89dDWLl891A8z3bwQG3dbdPnqobZdvnoonPKD4eBxIF3NS8cfQs7JZeLKhPpNe3DA+zLm4dHTKwBW4hAzlG6AKTODwZsM/AU4yhEfozGPA7D+XtWpCAthdschtaomlvWbJuGDy8Joc8ARrcIQRcRIzsrcSuCSRUWGGwSCRrwIwZAClI1LmPH7ru1/VitVpnKQZn9jbG8wTHNypELReB8ElAU6DAI+EJEZIRjZoqIp8Ks/qbIPfgQaikiSmuHMcmzjMUtEsjE32Mfca5yIvO9n85cIBPtePfCUkit27m0UBw4PrkxfzIEpt3cHMElVg5lD1cd/6be9KBuXdA+WOxkMb543775QEbMphC5f+TeWG+oXqrrWyZ9vA+4Lca2iIpxNB9hi5XysPFQO++pO3wzMFpHP3PN+gJnK+st/DGiUWMR2URwiXLVwWC5m5FWicFH6R7E0vEBkRMg5OWXmqE1vt+r3v4ZlqpwS4pahJM0rVHWliDQM0S7UnPw4MFdEXvEX3SwuxMpWtsMMIANCVXPFPJ1aYhuuZZi8/FMRyQDGiJV3ex1YICIP+FOBEFlfDkuhGcWhQZevHlqPlegtUYhIKuaXEmzt3pQQ40il+Iqj9xTkDkuIiQ+2Ll5CYYWjLz7BqgWFIr4C9mVV3SMit2IVl3oGGaOKgzOAKWFceypWdvVONU+xXSJSGquqMlVEUtUqoD2KqaD8eRzVCvOZDos5OapAiOKwgIuiZwKD1MfAzwchFyvJWZk69fdV123P2xNI/pwH9E/Oygy64W40dUz1j9avyIWgaoZ1BJZo4879CRu0bwnWrhgIa9PhBsCZmEQa9kU7wFIOLhWRpk798Tv+N1y7KZzC4g/5+HHOjeLfDxFpjOX/jQzSphSQF0BivBeXL3jsiy//WhRMKbQEm7SDPY9cu/CZqtvzQgqKnuk5Z0So1I3HgPNFpF6oi0UKNwamYguRUPgC6OjSFXYApcRKQG3GlBKeqgxPAQO9IpzeCFdpUmxFShT/WAwF3gqxyQ45JwNs2rPz4rU7NgVzCR+RMnNUIRNGb3T48tHKo1f/rzQEnZPzsMhkQDgifwiWLnkg0AnzTwonBcs7cuk9J09w/+3rnvdl/G86INqXowgCRwQ+QuDUYA+aYEbEATFkSfrmb7d890SBFgRSFG0GLh6yJD3ohjtt0fDya3euzw9BHswihJJBVT8DdhC6RHhREe76+i9gu7jqR1hqdyP3fV8FPCZWeepDoI3zlfHFP6ofRwmEKA4XXABsUNVgub8QxgAHMHzxF5P6znlv8bbc3e/iSpuoqs7f/NvvQOfkrMygA4KIXA18cd/SWW8VqP4vwCD3O+b9ENBR3QsjgQtFpE4YbSPF2VgkMhz4LlYaw94SPddhqQxx2PMWytVyXhgTfN/3gw/C/F6i+BfBbVrHADeHUNs0xhQwIfHkT+9fO27t1AWYIRkAuwtyd63cvu59oMN58+4LOJm6CMCMdbv/uvzTPxYOIjCp9T5WTikoHLl5BwfG16QFZmgakqBz3+1SwFPa6WdcVEJVp2LOy9eqT/koH0wmPDKwxKNhURz+EJEm2O/m0RBNwyIQrl04cf11Cye98uPW3z7AzL0AWLl94y7g4pSZo+4O8TxtgKVv/Trv5535e54NMCfnApe0n/XIolDP4/pJnoj0CNW2CAhXSQQWifWkBS7HEQhu43EDkO42G88CVziDVF+E00d/xko+RvHfw91YlZ7VgRo4krm0qv4dqI0HH26YcvcLP7/6S4EWfIKVWKVAC/JW71j7I9BmyJL0+UHuIyLyuKKvvb1+ygPYRtsffgT6Xv/DveGoCm7B0gtL1NfEBTpOIHQ6hgfe62uPDwKquhYLPjzhUpJG4yclqcOskT+Fea+gQcuDhSiBEMUhh2Pl7iFEhN5tTsoFkPAVwrK//3zuxBkvZgOVen09cVyXWePv6TPn3feTszIDRjlEJFZExmMbhGs27dl1eYw5ql4IfIYZOH6HReyPSc7KXBDOs7gN+p1YXniJwUVCd6jq72Ge8jlwivsuvaMdqKqnrvQQVf0aqCAizfxc4xGCbzz2UHLmXVH8s3Ax8IuqzgzRLqxNB4CqLvzkj2/zLv7uoTOB6jcuysy5YsFj79yxdNwD5827L2CJMRFpgMn7jwSavrj2syfcfTOAhe7YZEwtcW7POSOCRUe9n2cKEOMkoSWJSDYdEDhyCTaWprnv4FH8qDQaTx29FevLwfA14SkiovgXwYsIvCmYH4dD2H359z1/P9t//psxQI2BP7w34PxvXxnVd95ry1NmjipUpcXneW7GjEVfAtqe+tWT12FKurexDciPmOrgmPazHgmH4PZgEPBgSfqauI1YF8ynJCTc3J0vIjWxTX5tr2N/YMTms8AW4GPgIj+XeZ3AGzEPMvpmZxwwQ7UoDk+4NVwqodeedYC14VxTVXet3PHTlKHLho8FKj22avSX9+c8et/YtS8+O2RJesDAgDP+/RroB5y6cvvadOBEzIfra2x9PRvzAGl9/Q/3+i1X6Od51gJvYKqikkRX4LMQRqjeCDYnv4T5H5yFpU/3cv4KvhiOI2UC4HeCV945aIiWcYzikENExgLfqWrQOrgichTwsqp2DfO6lTDJ/vFYpywLbFbV4UHaf4XVQz9ZVUNNyBHBLco+xljIsFypw7jmIKBAVYNKNn3OmYypC9ZgMssTvY6Vwr6D/liO+tmqWsjxNSc17WQsLaOKz6EtwMXJWZmhDB2j+JfB9Z8vsb5TqJKBT9thWLQ9rOi2iAwESqnqSLFSZ+uA/s6J2V/73sCrmFywX5hS4rDhNubvYSWkSsTXxOVCdwrDy8TTvhYwUVU7iMiNWNBytNfxU4B0zGzxfeAh9SkftbzbgBiMRBjs5xazgN6Np44O+m8Zxb8PItIf68dB3b5d26VA03Dyj90cmI1F3Fti6rnaqurXmNep4d7GKhpcqKofh/8pwoOI3IP1nftL6HrtgQGq6m+jH+wZflXVcSIyHyu/utPr+OsYkTcD+AhI8d3UTEhJr+uO+Zawzgfu7JudETClLIp/JxyZNQPLyw+qPhEz+u6mqjeHee3WwO2qeq6IvIf5XX2mqn49FkSkKeZntB7orKoByf+iQMws+FtszVoiZdNFZBym3AiljPa0F4zMTMEqPw1U1Uu9jtfCApEdMZJkp6oWUjPO7jikP/AM4EtsrgHO6jBrZCjT6IOCqAIhikMKEWmLuQP7M/nyRVPCSF/wwOUkLcXMjLYBNbCNR6DnWOWONyhp8sA9jwI3AY8EkCEWBb2xjUwkmAz0cFLpJO/8aCfRvhr798gCUtygtx+SszK/wJy/r8ByM18BrgdqR8mD/yweAh4NRR44RNSXsejCRbJPt1wDK0W6H5w88knMZf1mVb2opMkDAJcT/h4WwSw23OJqfbjkgXuGdUCCiFShcLQDVf0cWATcSICUpMZTRxc0njr6FiAZGIF9b5lYdLdTlDz470FEKmPlfUNG80SkPLAtXPMy1248plTaBlQl8JxcDZMBp2AERYmTBw6PAH1EpG4JXS9SJRHsH7lcwT5TVA9uZF/ViIXsS3nYi77ZGWuwNKiemGJhPCZdrxslD/6zuAxYHoo8cIh0Tv4WM+WugvXlWgTuy5dgxOG7QIuSJg+g5MumO/KyA6bKDfcZvH3G9qYjeR1fBzyApTCMBa4SM1zdDx1mjXwFS0m8BVMrvIileTc+XMgDwIxooq/o61C8gHgsP/fYMNvfiJnARHKP7sDzWH7/dGzj7NtmMFYqJv0gfe77gdtK4Do1gDlFOK8u8D/3/9OwCJBvmwxgGFZv9uFD/VuJvg7vFzbRzsSp2sJoPx9IivAe72IVWrIx9YLv8SRsUbMROOYgfOYkrLRTof5ThGvdCVxThPMygEtdn57q53gZrMRlY0waevSh/q1EX4f3C1us9g+zbWvgtQivXx1LA2yBLc7v89PmFGxT8gEQfxA+c0/gnRK4jicCeUQRzluKVTm6HzjfT5semF/CscDMQ/07ib4O7xdGzi0GKoXZ/jlMARfJPYZgufyZWO5+XZ/jAryApbz2OUif+33gjBK4ThdgXBHO6wGMdv+/1HdN5L6T97CKc48Dlxzq30pRX9EUhigOGcTKr1RR1bDqMYvIGKw0XFhyIoD/depX+9MNq+afU+voXXsK8quVio2bXz4+8XFgUqOpYxTryKcAPVU1VLm4EoEzdpuLycX8SrDDvM612OQQsd+Ak0l2wcrRva/mZOt9PAHbcAzAFAZtNHDt4Cj+w3AM+jfApaoasiSkWFnU71X1mEjuc9GRXe5qVrbuFVUTKtTK0/yYaokVXgaePn9exiKX5zkLi951UatMcMAhImcDF6tqn2JeZy5wpqoWUlWEOK8NpoK4CFikqoU8S0TkJMyT5AlszAnk5B7Ffxwi0hFL9ztVw1gculSHI1X1gXDv8d0pg494fvU3X51/5PGJuQX59QVZVyWxzBPAuBM/H7VVRNKx6g9DVfVAVUkoBBH5CHhaVT8txjVOAIap6jlFOPcFzAyxJrYRK5RS4STVXwG9gAxVDVahJor/METkZSylYHyY7WcB52r4flpcVKtPpwLNn9ioTHJcnuaVLRdX9uMYiRkDfHbHsnvLYOuCylhKTomkFYSCiNTHiMdWWoz0QhEZDWRphMont77/Fkf0YcTJBp821TE/souxAGercMbbww3RFIYoDgmcXLA/FkELF2GbNQHkpKaddGRS2R8ur3d85YoJpY6sXqpMfPn4xNbAm7vy8z4rFRP3k7tmvYNFHgC4zU06od2tQ6EoUkkPpgKn40dmBVZfFys9MwaTUEU3HVEEwmBsog1JHjjUw6oEhIWJLdNlYsv0x3vVPOn+o4+o3aBSQtlS1RIrJGC/yYVp9c4eh6kSxgHtDhZ54PAhcISInFrUC7ixcFek5IHDt1gkNwbY48+FWlW/xAjLhgQuHxXFfxyONH4KuCGCxWxEc/J3pww+Cph3db22x1WIT2pcNfGI+CqJZeoCj6vqd/XLVPoSG086HkzywOFmYGQx0wuLMyd70hj2Vkfyg0Hu9Qp+UpKiiAJARDpjEvjXIzitKvBHuI0fbpJxyfHljp3eovzxVY+IK1OxQnz5uBiJOQf4dFPu5reBXzFfhDoHizyAkimb7tJ6u2J+BZHefwe2vmmKn9RC12YDpvC9Gxs/Ty/qsx5KRAmEKA46XB7z05gBSySL/RrYgBQSOalplTAWsrzvMVWlVGxcp1HNu+7GJL2Hoqbqe0AlN9BHDBGpCFRX1WVFvL/3YqXQAAfmfu+eszKBy0dF8R+GY/svwWS34SKiTQfmsxHI2Cnm5MrHXd6rxklDVfW2g83iu/vdBDxajP7Ri8h9TDz3L8CiPO3xnzvtwd2YSuFdLBUsiih8cSvwkapGkgcddl/+7pTBAkwkwHwjIg1HHnNmSrm4UrVVdV4Ez1AiUNWVGCFYHF+TMzGj5KLgM2zT4pfUB1CrQDUII0+PFJHkIt4rin8pnJngE0RABIpIVWBjuO0fbpJxAqZMjfU9pqpUjK9w3jnVe36hql1VNTf8py8xFLdsemtggZonWFHwMaHX128DeVjK0z+SDIwSCFEcCpwD7FYrhxYW3IZ5cwQbhMuASgGuBcBp1RsctaLbDRXDfYaShPscA4FR/kxUwkBPzHG5qPgayydfQeBoB5gxXnssZ/XCYtwvin8ZHBE4GrhVvRzDw0DYm46JLdOFEJGEGInhwiNPaR3B/UsUaoarUyj6xrwoRqjeCBm5dP8+12KeML0DlI+K4j8KEWmImXSFnYrg0BArvRYO2gNtAx1UVRqWqVzq85OubxXhM5QkHgIudRWfIoKIHA38oWbeHDFUdRvmUF8VKO9lGOvb7lOsBO0iihFljeJfiyHAe6oasJyiH0RK6t+EH/IA9q2v21Zo1fThJhmHZI/p5ru7gMeKeIniKIlg35y8nODr6zSspGWsiKQU436HBHGH+gGi+G/BLVzvx8oyRYJIBzi/ZaF8UApzS/VbduZAQ1WXicg0zGcgUufY3kSW/uF77zwR+Q5TdQRkaV27KyvEJ066rO7xXVZ0u+FWl7+1AZPHPZuclVnijrpR/CNwLubAPjXC85pixkrhoI5rHwrh9PcDiQeAuSLypprTclhwfSlJVVcX496fYjnjjxMg2gGgqnNEZEbrirU639a4/fTl3QbUxIxsv8McoT9uPHX0Py4PM4riwW1UM4HBkUTcXKRTI4gwpoa4nne7sH2OShKqusOVVHwUI1QiQS+Kt+mAfRuP34Fq+Kk043BbrMR8fUrlFpXHt7jzxPiYuPrA35jq8um+2RmrivkcUfwDISKNsHm5TYSnHoj1dUOsuk8kREZJ4iPgWhHp6uvxFQxuPOyO+YMVCaq61lWoWU/wOXmjiAw9slSF9MvrtB8/u+OQOEw1vQozs32tw6yRRVVBHHBECYQoDjYygGciWWQ7RFpixrd+aiAkRvgcJY372LfxCCs9Q0TKYKzmgmLeezI2EeSKSFKgKPKKbjfs3Jq7u0a5+MSKmMETWJTkQeC6nNS0U5OzMsONQkXxL4CIlMPM1roW4fRI+vI/oh+r6nYRuRcrCXdxBKeejblGF+fem0VkC7CVIIsVgAWnXrM2MSaubcz+wc0z3Gvc8m4Drm48dXSB/7Oj+JeiD/BnJItsh0aYgi1chNuXw213oPA+cI2InKJWCjVcnIORCMXBZIzM86iJ/BIIb514T/7W3O17ysWXqYEFAcDm5JuBayakpPfqm51RZDPIKP558CICBxXBPLApRkSHi3Dn20PWl1VVReQmYJKItHa+XuHgOGCVUwQVB1OxPlw/WKMvT7pt46783ONKxcZ7K5GrYiTQFbM7DkntMGvklmI+ywFBNIUhioMGETkRaIcZ80WKSBnSH8Jst6gIz1JiUNW/sY1YJHWaUzHTuuJGC7OwjcMKjC0uhJzUNAHeceSBP9QF3nXtovjv4H4gU1XXR3KSW+RUjEDmuxYr5xYKh7QfO7wDVBWRkyM4p7hSSQ8mY9GegHLJ5d0GtEqKjc+M8a+MBvOaGFACzxLFPwQiUgG4FzMujBQHak4Ot90BgZevyWPhphe6XOvcSMdDP/fOwQiB1QQnAx8rF1+mRYAlQGngnQkp6dWL8yxR/ONwIfBbhKSXB5H25XDm2x3AQTNP9AfXnz7G+nO4KMk5ORX2VqoqhNkdh5QHPvAhD7zRFiMUD0tECYQoDgpc6bYxQJqq5hfhEk2IbIB7Now2XydnZX5fhGcpabyNGSKdFGb7EhngVHUjsBtzyw20WOmEubwHQ3OgyC70UfyzICItgVaE18d8UZ0wjVABzp+XsRMzawqFZ4rwLCUKr43HKBEJqe5zm7daqhrJuBYIk7GyrBUC5U67ZwtF9N28vNuA6Lrgv4MRwJNFrAAS6Zw8CQiV7rYNK2V4SOHyx6cSvq/JORTPx8Qb04AjCDAnT0hJr4R5PBG4q3MEVkUpiv8AnEfY3ZgRalFQB1gTQftnwHxLguD125emFzeKXxJ4AOgvIkeG2f4siucv5oHHZ+wnAqsQ+mEm5cHQZ3bHIRF7shwMRBcKURwsXA/MUdXsIp5fnwjYzEZTxyyb+MviYLL6re6ZDjm8DBWfCLXxcHmnKdjgVBKYDJQlMIEQbnmZSD0tovgHwv0+MzGH56IQgZFGOnhgxRsfbNi9KZj8MAt4tQjPUuJwZMAM4IYwmvegZBYqYN9pXeBPTP7oD+H05foEUCNF8e+CiLQGjsfqkBcFEfXllJmP78xcNXtGQeBNhwLXnvj5qMNh0wGmsrpSRGqGbFmMSip+MBlLDwk0J59EeNLwf2RpuCiKhAeBUar6e6QnisgRwE5X0Se8m60cNSNn+6rNQQisVRihccjhVTb9kVBtXVWTv0qiMpuq5mH+QsFSC8NZN8cCpxT3eQ4EogRCFAccIlILW1DfU8Tzk4A94W5YnEfAR3f9OPNpjCRY7XVYgU+A9slZmQuL8jwHAqr6I/AFcF2Ipl2AzyMZ7ENgMrZhCDTAhVua7lB7SURxcJAGzFbV+UU8P6JNh4i0X7B15ZOT1n9xMvASppjx4C9s4XTO+fMy8or4PAcC92HmTaEkxCUllfSQkDMwI7VoX44iKHyIwKLOJU0I08vEqWIeG7d27o7dBXmpwFyfJt8BPU/8fNSbRXyWEoeqbieM9EJXAu+IEqx1Pws4FmgQ4Hi4/TPaj/8DEJF2QDNgXBEvcTQR+IuJyJFb8rZMGb9uQj9srvPebO8BXgM63L40PWIy4wDiPaByGGXTS8II1RsfY6aIgebkcPvoYVlCPWqiGMXBwBPAPaq6tYjnNyZMJ1dn7vYh8GaB6rMAOalpz2My+7LAquSszF+K+BwHGsOAb0Tk7SBMcm8s5aGk8D2WcxloIAuXZDlsyJgoDgxcabNriNzh2RtNsf4Zzv06A08DZ83cuHAVMGdiy/RbgGOw+skLXYrDYQVV3SYi9wMP46TGvhCR0th38V0J3noypk5qjG1CfLEQCOXPsA2LHkXx78ZAjIguUgqfiMRg1UO2h9l2NFbx47IOXzxdAEz97pTBjTFT3g3AshM/H3U4VgCZiBkqdlRVf30KTPL8QUndUFX3iMgi4AQRifdT5SLcuba4JstRHOZwufVPA/2LQQSGTeqLSF1MNTd4Z/7Oz4CPHm6S8QCmZEoAFt++NL3Y0fuShjNUHAi8KSJtglSO6QWcV4K3zsKUGIG8URYQnlLosFxfS/F92KKIIjBE5AwsanlmUU3/ROQCoImqDgvRrgK2iH5OVV8pyr0ONUTkEuAUVb3Sz7FYYDFwbASls4IiJzWtzkfrV3zQtGzlYxqWqbhGRJYAzwGTk7MyNSc1LQn4meB5WpuAo5KzMneUxDNFcXhCRN4BXlPVIlcNEJHPgMtUNSiJJyKnY5LDnqr6c1Hvd6jgIq4zgLtU9Ss/x3sBJ6vqoJK43/JuA2TTnp3dF2zZMLF5+eq7KickrcMWL2MaTx29yrW5AAgV4c1sPHV01EjxXwxn+DcFaBMOARDgGvWBsaoaqjRjLJYisR24qQSVcwcNItIMS5Fq62TJvscnA0OcirDYmJCSXv6bTUvG1kis2OuoUlX/iIuJXQ28ArzeNztjl2szHVMjBkOLvtkZURLhXwwRuQ2opKpDi3GNEcB8VZ0Uol0yFsm/IQiZdlhDRB4G1qvqE36OHQm8raodSup+szsOOe6zP5Z81qxszbK1SlX4GZgDZHaYNXKOO+4pcxnMmygbaNVh1sjDbrMeTWGI4oDBRdkeAQYUs2JASIZURCpjpkdP/1PJA4fXgWQRaevn2EmYj0RJkQenAUvOrNnohOQjKsW7CeJMjGF+Iyc1LS45K3Mn5s4eSCKeD1wZJQ/+3RCRnkBcccgDhyMx085Q93oYSP0nkgewN6XgRszXJNZPkxJLX3Cmh89XTEj6+JSq9ZIqJyRVxFQatwCLl3cbcLZr+jZmZBcIS7Bc0Sj+3XgKuKOo5IFDOHNyHLbx/hMY+E8kDwBUdTEwEz+eSa7We22M2C82JqSkNwQWtK3Y9MJ6pWuUiouJrQ10BF4AvpqQkl7FNb0B2BjkUg9EyYN/N5waoD+WRlAchNOXm2Aqm6v/qeSBw33A1SJSw8+xcyhmSWVvzO445HpgYdeqTavVKlUhCVMGXgp8M7vjkHSADrNG5gC3B7nMFuCqw5E8gGgKQxQlhJzUtCbYBNsRY9O+7lildvysjT+/qqqri3n5pgRZbLtc48nACFUtKSOjQwIvqdVzItLex/ehxDYdOalpR2FscukATS7AalEPS87K/DAnNa0rkMH+EuhZwL3JWZlFKRsUxWGIh5tkxGKS3CuAesDmXfm7PygVU+qKXQW7gkYbQ8EttrcFIxNF5FzgDqBbUQyhDieo6iIRmY2lfewtxSQiCUBrAqQ3FAGDgUKKJYdEYMLybgOOazx19Irl3QZcCMzHyjV6zOG2A+OBuxpPHR1uec0oDnPoojHVgKsxUrg0sPSRcdMWiVBQUKAfF/PyTQmSN+1+429gG+t7S6Dk8KFGBpZeOMFnXOoOTC6JzzchJT0WS++qF6BJC6yfpvbNzlg2ISW9LeYB04t9a/nlGPn6UnGfJ4rDBzr+5naYP9YJmB/Yp0fXrNh62fpNQ5xJYHHQCMgJdFBEjgMmAJeoakmm3B10qOrfIpKB9ZH+Pod7A9eWxH1mdxxyMsHL1Q+f3XHI4g6zRk7qMGvkI7M7DvkFuAsj/gEKMP+EoR1mjSwRcvJAIJrCEEWxkZOadjVW1mU/RUuBKnlacGuzT595rDjXF5EFQDtVLZTv7GRHH2NS4SnFuc/hBBF5Ok5iflxy+nWrgVaqmt9/3ofXLP/7r2Ybd+8odrQ/J/X/7N15nNXT/8Dx17tFpZIihBRSiSilpkIqKinxFUN8+dr6In1/9qgx1WjaLJGyZImsyZaSxpKdVi2WFqFIIm3apqaZ9++P85ncuXOXz51p5t47vZ+Pxzwyn3vu554Zcz7n83mfc96n71DcBSuSDbilCXt+7yu69j0KlzPhjwYzxsWy7Y9JcCMbZ1TFReDPCn4tOzd7c+Xyldv0X5pe5C0HvazvN6nqFWFe741bm91NVcvEg6wXNPnqmqNSzvtv/bYdgcNnbVhZ+74fZ1b/ZfvGkL+HWCzvclNFXJLYw6MUfbhh1tibg953PG7d6rKGWWMTJfO92Qv020fb4frFA4Nf27xlxxs1qle5WE68sSi7qAAgIk/iljN9GuK1yrjcAV+p6rCifkaiEZHLgE4zWt89Frdueb+Hf363y+frl9729+4ds4p7/kkt0rvjb1eWk1LnZ3wT8L6DcbunbAWWps7PsJv6MkJfuFmAB4BCS9125uTmVqpY/ny5/KEiBwOv4MqsAAAgAElEQVS9HAoLVfWEMK+3wCVFTFXVb0KVSTbe8sIPDqpYY+iDJ/zfIUDjv3O2cf9PL168cvvvIX8Psfri9Dun4AZiIpnd7rNRe2Yaf3H6nYKbpVADWNXus1FF2Vq3VFkAwRTLiq59z8BN74u0hufcBjPGFenh3pv+uzjUBS4woYuqflCU8yeqt9te3PGAipVmHFnlgIpBL80DLmkwY1ykLSqjWtG179e4EY1o2jeYMa7QTaIpe0Y2zniWwlH5QD8Dx/dfmr4zQpmwRORK4HBVHR7itauBq3A5DzYX5fyJaG772+SrDStfa3lg3Z4Vy5Xfs5QhT3V3OZExQP9TP3mgyDtILO9y0ym4NZLR/NAwa2zDon6OSR7ezINlhAgeqCre1msZcuKNg4r6GSLyOXCBqq4LOr4/bmbbDFUdXdTzJ6K3W91R55cdfy05rmqdGoHHVXW1iFzVZdawYt2DTGqR/ij+tpbunzo/I+LOEKZs0Bduvp6A2WshZAMny+UP+UoyHsxbmjBSVXuGeK0NbunMharqe5eGZHBXgytuPqrKYfdVq1AleBb+VODKKxYM2VjUc3uBgJ24pLHRHNTus1FJO1hiORBMcd1O5OBBfpmiOhr34FKAt15/GtC3rAUPVnTte3yTA2q/FRw88IJ9LYGPV3Tte0gxP8bPPtIAVYr5OSYJjGyccQRweZRiRwMXFuNjQq61FJEbvc/uVpaCB570NrXq/ysweABQzq0PvxW3Q01x+G2f1o73HdcSIngA5AcPAPrpt48W6W/CG8GrHSJ4UB23lPCtshY8yEoZUL1SuYozj6tap0bwoJu3O807WSkDQuUtioW1ZbOHvnBzOeCOKMUq45ajFVW4PvkMXPLT88pa8GBi80HdmlQ/+sHg4IHXrnsA0yc2H+Tn4T+c8vgLHkCSt2ULIJgiW9G1b3ncGsBoOqzo2rdaET+m0AWuDCV0CScdt+VkAQE3f0fipnoXh5+M0YrP7X1M0uuK6/ii6VGMzwjVlm8FeuJmHpSpafRz2992MBAtO/aNc9vfdmwxPmY54ROcBtorGeJNUvDTRmsCbYt4/tpAgfwk3lKd6bhlDZFGTJPVNUBjKNAPB9oPGFrMz/h2L5czye144Bgf5fZ2n3wWbtvVc1W1WDNdE83E5oMEGEWIQc+Adp1CMQZK2n02ajduBlg063Fb2CYtS6JoiqMi/h46wCVx2ur3xN4I+xl3NEy54JvN6/YkEfESurwC/DvZE7qE4gVa/Fy8/oPbX7aoxhN9v9t3G8wY90sxPsMkj3DJNINVjeWkE5oNFqAF0Kj1gU2bdamdsmfUUkQG4DrrnqqaHct5k8TFuCSGkQhu9sWQonxAw6yx65Z3uekN77MieaIo5zdJyW9b9lsOgGWd++0PdBx3crfWb/++bMOyzv2k0XuPqIjUwgUPxqjqS7FWNklEWtqVr1NWyoC6XWYNK+rOMROBTCJfM9biL0+CSX4l0o4BbqmfcQzQqnn1Nl2z87bvWQ4jIufiAmHnqGrE3ZKS1Cn8k6gwkitxzxlF9QTwYJQyT3nBhqRlAQRTZA1mjMte0bXvKqBelKLrcNG2qFZ07VsdeBh3U12xz9Gn5B8/e/QPs8fgtmFJVdWyGoWvjb/pT4ev6NpXGswYV9QkJh/gMjVfFeb1v4Cbw7xmyh6/M018z0iZ0GxwG1wm4mYA/633L4Bfnjl50GPXfzNsJ25Er5eq7oqxrsniCJ/ljizm59yB2+I1XCLFybgZW2bfsAQ4yUc5P6NkLOvcrxwwALct6IGdDjmGToccA7Dk7TaXDsItURyhqq8Xsb7JwG9bPhwoUgAhdX7Gukkt0m8m/Jr3XOC61PkZZfV6aQr6Ecgh+v2g7yUGt9TPqItLeN4NoH2trqhqu1vqZ7zx8u/jp+JmtnZV1aQeGY/Abzv2Wy6cx3ADge3CvP4dMKKYnxF3toTBFNd4H2WebjBjXNSMzyu69q0EvIt7qN1z0fTWJrW/qv7Jr/7v2FNvLsPBA4CNuKUD0awvRvAA773X4W4MAzsLxY1wtG0wY9wPRT2/STozgZ98lHvKz8kmNBuc4p2zWdBLVUXk9luPuezf9arUuaQMBw8g8j7tRSkXUsOssb/gpqO/gXvICDzvEKB3w6yxecX5DJNUnvRR5mM58Ua/idcewgXu9+RV8PrkRg2q1XolrdEZ75Tx4AGUUltOnZ/xOG42UXCgdg7QOXV+RnG33zRJQi5/aAPgp135uQfnlvoZh+K23i6w7FhEygG9zjm41+PNq6dcWIaDB+C/ffoa8Ayn3WejsoEuwBgKzrzOBp4Bzmj32ahNxfmMRGABBFNcY4BISwmW4NYc+XEFISJ2+WuTDqxYuXy/BqdeG2sFk0mDGeM24YIo0by8Fz4rt8GMccOBo3APIJ2Aug1mjDvPggf7lv5L0/OAPrgRj3Du7b803e/fxcOESdSpqjSqVv+oQQ37dIixmsnmNdx+ztEUuy03zBq7qmHW2AuBukBH3HW0bsOssYMbZo1N6mmSJmYzcdPhw/kbnzl0lnXudzLQL/h4fp9cXspx+VEnXbGscz+/SxmTlZ82OqfLrGHFXjOeOj9jMm6adXPclrrHp87PaJ06P2Nmcc9tks5duGUr4bwLTPJ5roFEmC18YMVaVdrXOqfYWwsnuNm4bY+jKfZSrHafjdrW7rNR/4ebldQe6AAc0e6zUdck884LgWwbR1NsK7r2PRC33ucyXDIhcA8ik4GbG8wYty7ce4POMxtoFaXYbuCwBjPGFStCmMhWdO2bAnxK+Klrm4BTGswYV2h3CmOKY2TjjPa4fadbBBxeAwwDHu2/ND1qhzGh2eCmwGIfHzfpqoWDLylSRZPE3Pa3Rdua7bVTP3ngotKqj9k36LePlsflyPkfUCvgpY+B/8mJN/ra031Z535jCBFACOHsRu89UqZ2QwqUlTKgNrAIqBOmiALndpk1zE/w3xjf9IWbj8EN1HXjn+R/W3Ezje6Wyx+Kuq3yLfUzKuJG3w+IUnTV6JXp9Yte28Q3sfmgK4FnIxRZDjS/YsGQ7aVTo+RlORBMsXmj5lev6Nr3Ttw2g+WA+Q1mjIt1KtRxPspUwI2Yl9kAQoMZ42at6Nr3QuB5oEbQy2uACyx4YEpC/6XpnwAtRzbOaArUxwWrvuq/ND2WUWw/7TiWcsns/3BJ0a4O8dob+EvOZkxM5MQbc4Eh+u2jo4A2uERry+TEG2OdWdbAZ7njcHl1yqQus4aty0oZcBYul0jw72Q7cIMFD0xJkMsf+gnori/cXA84EdgFzJLLH4pl16LaRA8eANS7pX5GxdEr0yPNRExqVywY8tzE5oNq4mZGBw/SLQLOs+CBPzYDwSQMLyHjUT6KNtwXpth7CSUvBVrj1jZ/BLzRYMa4qBFnY+JlQrPBZwPv+Sj66VULB7cv6fokgrntbzse+DduOuM64KVTP3lgQXxrZUxkyzr3exXwM0PmikbvPfJ8Sdcn3rJSBlTAbZvXGRcYXAg832XWsI1xrZgxEdxSP6MGbjAgmp1AldEro880THYTmw86FBfAPx7Yhsv99f4VC4ZYviCfLIBgEsaKrn0fJvrazO+ApsVJIGiMKTkTmg2uAqym4NTpUG6+auHgh0uhSsaYIljWud+lRF8PvBM4stF7jxQrgaAxpuTcUj/jQ1x+nEheGb0y/dLSqI9JfpZE0SSSMbjpgJEMt+CBMYnrqoWDdxB9D+S1wHOlUB1jTNG9AUSb7TfeggfGJLxo2wbuxuU/MsYXCyCYhNFgxrgfgZ5AuLVdaQ1mjHuxFKtkjCma4cATYV77HTjnqoWDk34bI2PKskbvPbITOAe3J30orwO3l16NjDFFMXpl+vvAfym41W++nUDv0SvT55VurUwysyUMJuGs6Nq3NnANbguj/XDrDJ9oMGPcd3GtmDEmJhOaDU4BrgMa4tYZvg28cNXCwX/HtWLGGN+Wde5XBUjF5UOoAfyM28/840bvPWI3kcYkiVvqZxyL27I5BbfN8KfAk6NXpq+Oa8VM0rEAgjHGGGOMMcYYY6KyJQzGGGOMMcYYY4yJygIIxhhjjDHGGGOMicoCCMYYY4wxxhhjjInKAgjGGGOMMcYYY4yJygIIxhhjjDHGGGOMicoCCMYYY4wxxhhjjInKAgjGGGOMMcYYY4yJygIIxhhjjDHGGGOMicoCCCbuRKSyiOwWkS0i8ki86wMgItVFZJSIvCci60RERWRwDO/vKCLPiMhSEdkmIr+JyBQRaRHhPaeJyHQR2SgiO0TkBxG5Z6/8QMaUgrLYlgPO46t9ikg1EXlIRNaISLaILBSRS/bKD2NMKSmLbVlEnvXeE+4rJcR7rF82SasstmPvHM1F5C2vn93u3Wuni8j+QeWaicg7IvKL1343iMhXInL5Xv2h9kEWQDCJQIGOwBzgJhFpGOf6ABwE9AEqAW8V4f03APWBh4FuwP8BhwCzRKRjcGER6Q18AmwGrvDeMxKQIny2MfFSFttyrO3zDeBKYAhwDjAXeNk7hzHJoiy25XuBNiG+/gJ+w7XVPaxfNmVAmWvHItIE+BJ3j30z0B14BUgHXg4qfiDwKzAA136vAFYCz4tIWpFqbwAQVY13HYwBQES6ADOA3qoafBEo7boIgKqqiBwMrAOGqOpgn+8/RFX/DDpWDVgBfKuqZwUcPwJYBkxU1Rv30o9gTNyUsbbsu32KSDfgHYJ+bhF5DzgBOEpVc4v0gxgTB2WpLYc5Z3vgY2Coqt4TcNz6ZVNmlKV2LCJDgYFAA1X9MeD4E7jARC1V3RjlHLOAw1X1qKL9FMZmIJhEstT7t1lca4G7sGkxomvBwQPv2Fbge6Bu0EvXAlVxIxvGlAVlpi0TW/u8ANgKTA46PgE4HGhdjHoYEw9lqS2Hcg1ulPaZoOPWL5uypCy14xzv381BxzcBecAuH+f4C9hdjDrs8yyAYBJJf+/fYl3gxKng52sv1DmWetUATgG+C3rpDGAD0NhbL71bRP4UkcdF5IDSrKMxe0lZasuxtM8TgSWqGnxjsjjgdWOSSVlqy8F1qgH0Aj5U1Z+DXrZ+2ZQlZakdP4cLFjwmIseIy6nQHfgvME5Vt4WodzmvXrVF5EagCxYcLBYLIJiEICKdcXkDNgLNI5RrIyJ5UdYutcdFKKN+iUj9vVF/n8bhRjQyg44fAeyPG7WcBJwF3IdbqzU9f7qXMckgWlsWkY/FJRfc6n3NjHC6RGjLsbTPg3APHcE2BLxuTFLw0y+LyNUissJry0tE5Ngwp0uEthzsUqAK8HSI16xfNmWCjz55a9BXnojcFuZ0cW/HqroSl7vkROBH4G9gKi6w8H9h3vaoV68/gdHA/1T1iZKo376iVEdgjQlFRA7ETR+cAnwLDBSRw1V1TVC5csBDuGQwkcwHTvX58WuiFyk+EbkXuAzop6rzg14uB1TGrQEb4R37WER24X7eTsAHpVFPY4rDb1sGrlXVF3ycMhHacqztM9LUTEs6ZJKCn7YsIj1wN+znAUuAYwkdQIPEaMvBrgHWA2+GeM36ZZP0/LRjVa0WUL4OLungG2FOGfd27AUmpgJ/4GYQrcMtD0wDquHadbBhwFO4ZOY9gLEiUlVV7y+JOu4LLIBgEsE4oCJwHW7aILhpVsEXn/8CXwC1opxvK7DQzweHmGq814nIINyFbaCqjg1RZD1wHJAVdPxd3I3KKdiNikkOftuyX4nQlmNpn+sJPcsg/5oV7uHKmETjpy3fA9yqqt9736+IcL5EaMt7iMhJQEvgYVXdGaKI9cumLIi1T74M+CrEkp58idCORwAHAM0Clit8KiJ/Ac+IyERV/SSoLr8Av3jfTvcmEA0XkedUdV0J1bNMsyUMJq5EpBfQG7jGa8Rfey81Cyp3EG6kY4iP08Z9ilU+L3gwGBisqsPCFFsc5nj+FMm8vV0vY/Y2v23ZM1rc/s8fikikNZmJ0JZjaZ/fAMeHWP/Z1Pv3271ZMWNKgp+2LCLlcdOhTxKR1SLys4gMijC1PxHacqD8Ucqnwrxu/bJJajH2yfn+DUyM8HoitONmwPchch3kb8PqJ9fQHNwg+jF7s2L7EpuBYOJGRA4DHgfGq+o0AFX9WUQ2UXid1nDgQVXd7GPpYdynWAGIyD244MFQVY0U+Hgdt/XMOcCCgOPdvH9nlUgFjdlLYmzLd+J2I8nFrcucISKNVDU4ozIkRluOpX2+iRvpuRC3bjrflV79ZpdQHY3ZK2Joy4fi7iHPxt2wHwi8h9tj/bkQp06EtgyAiFQCLgfmqGq4oJ71yyZpxdgn57+nKdCIwrsIBUqEdrwGOFFEqnm7m+Vr4/272sc5OuCCgD/t7crtKyyAYOLpSVxSl1uDji+g4EhHC9x0wev9nFRVtwDzils5ETkHl/SwuneoiRfRBZiuqtu9cu2BD4EMVc3wjt0GZOD23X1HRFKC6jgr4L/fE5GpQLqX52EWbmrlIGCaqn5e3J/FmBLmqy0DqGpgDpMHReRqoC1uajBBZePelmNpn6r6roi8j8sOfQBuSvelQFfgclXNLe7PYkwJ89uWd3j/jlTVTcAmcfuwdyVEACER2nKA83HLisLNPrB+2SQ7331ygCuAt732HFKCtOOHgLeA90VkNG5LxhTgbtzgxJ57CREZj0uyOAeXM+Fg4CIgFbjPli8Ug6ral32V+hduj+XdQEqI1x7ARQare9/fDGzHXST+ArKBbcDEEq7jSlzSs1Bf9QPKnekdGxxw7OMI79UQn1UFt67rF9z0r1W4pC+V4v3/yr7sK9JXLG05zPsXA91KuI5Fbsvecd/tE5fE6WHgd2AnsAi4JN7/n+zLvqJ9xdqWgd+AMwK+vw14uYTrWKy27L32Hm4td9jrklfO+mX7SrqvovTJuCXtvwE9SqmOxe2TO+Dyk/yOez5YBtwPHBRU7irgU1yixRxcUOVjXEA/7v+vkvlLvF+wMQlLRKrhpkfmexB38RmpquvjUiljTMy8jNCn4jp0xc0qSgMaqerGeNbNGBMbEckETsbNsqmBSyo4VP3tsGKMSRAicjbwInC4lkISU5P8bAmDSXjq1jjtWeckItuBvy14YEzSqYjLZ9IY2IUbne9mwQNjktIQXJb31cAW3HprCx4Yk3z+DbxiwQPjl81AMMYYY4wxxhhjTFS2jaMxxhhjjDHGGGOisgCCMcYYY4wxxhhjorIAgjHGGGOMMcYYY6KyAIIxxhhjjDHGGGOisgCCMcYYY4wxxhhjorIAgjHGGGOMMcYYY6KyAIIxxhhjjDHGGGOisgCCMcYYY4wxxhhjorIAgjHGGGOMMcYYY6KyAIIxxhhjjDHGGGOisgCCMcYYY4wxxhhjorIAgjHGGGOMMcYYY6KyAIIxxhhjjDHGGGOiqhDvChhjiq5bzbvrA/8DLgZqAquAZ4Anpm8cviWOVTPG+PRh27sF6AbcBLQFFPgceKTTl8Oz4lk3Y4x/b56aVgO4HrgKqAtsACYBYy6YO/SXeNbNGOPfS6cMag7cjOubqwDfAuOB53t/PSQnnnVLBKKq8a6DMaYIutW8uy3wLnBAiJe/BzpO3zj8j9KtlTEmFl7w4EHcjUooIzp9OfzuUqySMaYI3jw17QhgJtAwxMsbga4XzB06p3RrZYyJ1UunDLoceBYoH+LlLOD83l8PyS7VSiUYW8JgTBLqVvPuasAUQgcPAJoAE0qvRsaYIrqU8MEDgLs+bHv3v0qrMsaYInue0MEDcDME33rz1LQqpVgfY0yMXjplUCPc/XOo4AFAFyCj9GqUmCyAYExy6g0cHKXMOd1q3t24NCpjjCmySMGDfLeUeC2MMUX25qlpJwEdohSrg1tuaIxJXH2JvsS/z0unDKpaGpVJVBZAMCY5dfJZLtoNjTEmTj5se3d14FQfRU/7sO3dlUq6PsaYIvPbJ3cs0VoYY4rLT1uuAZxS0hVJZBZAMCY5+U2AWrFEa2GMKY5YEhmHm05pjIk/v32t9cnGJDa/bXSf3ojAAgjGJKevfZabX6K1MMYUxybgZx/llnb6cvj2kq6MMabI/Pa11icbk9j8tNEc3K4M+ywLIBiTnJ4BdkUp8w3wZSnUxRhTBJ2+HK7AYz6K+iljjImfj4BlUcpkA8+VQl2MMUXnp7+d3PvrIetKvCYJzAIIxiSh6RuH/w7ckP99iO1YNwNXTt843PZpNSaxjcFt/RZOFhZAMCahXTB3aB5wBbA18HhA35wHXHfB3KF/lXLVjDEx6P31kE9xWysDIe+vfwJuK806JSILIBiTpKZvHP4M0G1r7vo/RASAPM1j0+7flwBtpm8cviCuFTTGRNXpy+E7gXOzc3NGbM7Znpt/fMOurbph17b7gPM6fTk8J341NMb4ccHcoXOANqt3/PV1nvfUISKs2LZmC9D1grlDX4hvDY0xPt0OXPvnzo078u+vs3N38euOP2cAbXp/PWRtXGuXACREZMUYkyREpBKw6IzqfbpULV+r2kebH706W/++GDhKrXEbkzRE5JL9ylVoOb317U/uzsul+5wHPtmteQ+r6vB4180Y45+IfNCmZuMBdxx74bbMHyadOH/zinFAE1X9M951M8b4IyLHABNebJ7+H6DKtYtGPrIjb6eoqu2kggUQjElqInIe0FlVbwKoVzmlZ0Wp8vwhFRvPrVSu2s/AG0DWR5vuy414ImNMXInI20C6qi787LQ7yz/44/szmh5wROuzDj5+hoj8ADxz+uejfox3PY0x4YlIHWCKqrYCuL/J1YfP2bR8eZuajZcfU/Ww73DLlSb1nDPUkqIak8BEZCCwXlUff63lPfLML1mD6lapfccZBzV9v1K5ir8CLwKze827d598kLYAgjFJTEReBsaeWeP2L4H7CL0uawHQ/aNN960p1coZY3wRkVq4JGzNPm13R11gGtA0qJgCw4G00z8fZR23MQlIRG4GyqvqA1Napf0bGA9UDir2B9Cz55yhs0u9gsaYqMStW/gaOHtyi7TtuGDB+SGKvg1c2mvevftcQNByIBiTpESkGnAy8BVwN+GTujQH3u1w4B22/7QxielC4LVP291RCZc0MTh4ACDAAODm0qyYMSYmqcCkKa3SzsbtuBAcPAA4FJgxpVVavVKtmTHGr6bAGlX9C3ia0MEDgPOACaVWqwRiAQRjkldP4O0za9xeBbgzStmTvPLGmMTTG3gZuBhoHKXs3Z+ddmelkq+SMSYWItIAyFbV1cA9uKBfOAcC/UqlYsaYWPUGXnqt5T2NgUuilL34tZb3HF8KdUooFkAwJnldCrwEnA3U8FE+2kXQGFPKROQIoIqqrsCNXkZTG+hQsrUyxhTBJcDLU1ql1QFO91neGJNARKQcbmbBFOAin2/z03eXKRZAMCYJichBwBHAN0Atn2/zW84YU3pSgVe8/7a2bEwS8tZM9wJex3/7rFlyNTLGFFEbYLGqbsXaclgWQDAmOfUCXvO2avzV53t+KcH6GGOKJhV41ftvv23U2rIxieVk4FdVXQ/8DvjZ+chv322MKT35s3vBf1+7z7VlCyAYk5zy10yD2xYq7EUuYKeVZ0q4TsaYGIhIQ2CrqubvkOInGdNy4MuSq5Uxpgj2PHT0nDN0A/CWj/dYn2xMAhGRirhlwVneoZeAnChv2w28UJL1SkQWQDAmyYhIXaCiqv4E8NGm+3KB2yOUB3cz81mpVNAY49el/BMIBHgPeDdcYW/G0R2nfz4qr6QrZozxJ2DN9NsBh9OBLVAgiB/438uBJ0qnhsYYnzoBn6rqToBe8+79AxgW5T0jes27d22J1yzBWADBmOQTuGYagI823Td5R+7G63PydhSYNqmquetzfloKXPrRpvts73hjEoS3ZvpC3JppALzAQK+lW9fOzgt86gD+zsnO/nzDigGnfz7qbYwxiaQdsEBVt+Uf6Dln6Pe78nZ3Wpu9MdsL4gMuoL906+otu/JyOvScM3RzPCprjAkrOKgPMOTn7Wsf25WXU+D+ende7q7ZG5dOxwUL9zkSdI9ijElwIjIHOE9V1wYdH1ue/RbU2e/E1NoVG/9Yo8LhC7PzNk+fteXJ94FTVHV7fGpsjAkmIqcA6ap6ftDxA4DZdzXomrpy+/oZNx595mjgh26zxrA1d2cXVb0hLhU2xoQkIo8C01V1WtDxywVOO/+wlL/rVTmkyZkHN30fmHn+3MyhQIaqzo9LhY0xhYhIFWABcIKq5gYcF2DmcVWPGNJg/zpP9qpzxosHVNz/58dWTvtq5vqFL6lqy7hVOo4sgGBMEhGRxsAjqnp20PHjcLMSWgGfAj1V9S/vtZG4jLIvlnZ9jTGhicj9wFxVnRR0/F5gPW4N5vD8AIO3NvMboJmqZpd2fY0xhXnt8lugqaruCjheGZgHnAXcCczMDzCIyAVAR1XtF4cqG2NCEJFeQFtVvTXo+LnAv3GzE5aqaqOA194BBqrqwlKtbAKwJQzGJJfA7LCBMoF7gDzgoPzggedZ4KqSr5oxxg9vzfS5wNSg44cD5wOPAScA3+W/pqo5wDTvdWNMYjgL+DgweOC5EXjdmylYoC0D7wCdRaRSKdXRGBNdYHJyAESkPHAvMBA4Elgd9J5ngf+UQt0SjgUQjEkS3jSqfwFvBh1vDRyES752OLAm8HVVXQLsLyL1SqmqxpjITgfmh1hWNBg362AnhR86AJ5jH71ZMSZBhXroqAlcB9zvHaoHrMp/3Qs2zAB6lFIdjTERiMiBwHG4WUOBrgQ+U9UfCd0nTwXOEZH9Sr6WicUCCMYkjxbAD6q6Kf+AF1QYCfT3MrSHusABTMRNwTLGxF9vgmYSicjxuL3k8xOkFmrLqvoNUFNEjiiNShpjwhOR/YFTKbzD0V24pYZbvAeTv1U1eOeUCVgw0JhEcQHwpgas6/fa9+3AUO9QqD45G3gf6FZK9UwYFkAwJnkUeujATYP+XVXzo6bhAgiTgFQJTAdtjPBmYTUAACAASURBVCl13kjFmbibjkAjgAEBDxqNgGUhTvE8Fgw0JhF0B6YFJVw7CjgHeNI71AT4PviN3prpw0SkTmlU1BgTUaGZRMD/AS+o6jrv+3D318+yDwYDLYBgTBLw1mGdg1s7mX+sAv+szcoX8gKnqhu94+1KtqbGmCg64xKq5eQfEJHTgP1U9UPv+/2AcmGSJb4MXGrBQGPiLtRDRwYwJKB9h3voAHgBuKyE6maM8UFEDgMO9Jb75h87GBeofyigaLi2PB+oJyKHlGhFE4wFEIxJDmcAc1R1R8CxK4FPVfWngGORblYmYMkUjYm3AolQA5chBZQ5Dvgh1JtVdT2wHEgpwToaYyLw8hwcA3wdcOwkXNt9I6BopD75JeByCwYaE1cXA68GHRsIPJifp8hrowd6g3EFeMseXmQfCwZaAMGY5FBgpMNbm3Ub/6zNyr/A1VTVDWHO8QHQVkSqlmRFjTGheW3vFOCLgMP/Alao6uKAY5EeOmAfnTJpTAL5F/BG4JppXCDwrqBjYduyqv4JrAT2yX3kjUkQl/BP7iFE5BigPa6fzXcU8EuEc7zAPhYMtACCMQnO2+rpdODDgMM3U3BtFoTeYmYPb53mW7gbH2NM6TsPmJqf58DbQz4dtwVroGgBhCygvYhUKZFaGmOiCQ7qdwJ2qWpwQsVoDx6WTNGYOPGCBTmq+mvA4aHAIFXdHXAsYp/sbde6BmhWIhVNQBZAMCbxdQE+yF9TKSK1gcspuDYLoj90gG0DZ0w8FVi+gNvqLUtVgx8wot2s7MZtH3X+Xq+hMSYiL/FhdVVd5n1fDhgG3B1UriawKWhGQrDpQCcRqVxS9TXGhHUpBQOBLXHboU8LKufn/vpZ9qH7awsgGJP4ClzggDTggRB7yEe9wKnqUqCyiNTfmxU0xkQmIrVw+8Ev8r6vDvQDhoco3hCX5yCSZ7GcJsbEQypuZ6PA7xeravBuC3765BzgXdzsJGNMKfGWG/QCXgv4fgT/bIseyE8AYRrQ1UuCXOZZAMGYBCYi1YCTgK+874/BJVR8LkRxPxc4vPdesbfqaIzx5ULgtYAbk9uAp4KTMnlLllDVnZFOpqrfAQeISN2SqKwxJqw9AQSvvQ4ABoUo57dPfpZ9aOTSmATRFFijqn9533cBNqrq7BBlQ27HGsjrs9/Dbe9a5lkAwZjEVmDNNJAJ3BO0Niuf35uVV4GLvWmXxpjSsWfNtLdt1EXAuBDl/Mw+yDcRt9WUMaYUiEgDIFtV8/MN3QBMUdU1IYr76pNVdRFQW0QO33s1NcZEsWdJobdV+lBcMLAA7175AFXd5OOc+0xOE3uAMCax9eafC9ypQB3gneBC3tSrGn4ucF6ZxcBpe7eqxphQROQIoIqqrvAODQKGq2p2iOJ+A4HgMkdfsi9lfjYmzvYsKRSRA4H/AqPClI2lLT+Py21kjClhXlCgJzDFO3Q5MEtVQ22fXA9Y5fPUC4AjReTQ4tcysVkAwZgEJSIHAUcA30RZmwXRMz0He5Z9JEpqTAJIxdsmSkQa4bZteylMWd8PHd6WrUuBNnuhjsaYCLx++ELgde9Qf+BRVf07zFsi7owU5CWgtwUDjSkVbXB5S7Z6uxndCWSEKRtLn6y4LR0v2yu1TGAWQDAmcfXinzXTXYH1YdZmQWwjHeC2hGzj5VgwxpSsS3BLh8AlTRwYsCwpWKxt+VksmaIxpeFk4FdVXS8iR+LWOj8RqqA3ALAhyg4Me3jrsH8CWu2tyhpjwgrcEakf8Iqq/hmmbKx98ovA5WU9GFgh3hUwxq8prdKOxUX/D8RNJ3q155yhGyO/K6ldClwdsDYrNULZJsRwgVPVXBF5A/f7DJWQ0ZgSMbllenmgM/+Mmn8OfHDRvIxwD9RJTUQaAltUdY2ItAWqqep7Ed5yHBBqGmU47wEPisj+IXZmMabEpNZOPwjXL9UF1gOvTVqXsTKulSpZe5YUAkOAe1V1V5iyMfXJnmdxMwPDDRQYUyKmtR7YAugGVMb93b7RfXZmqCV2SU9EKgBnAbd6gb7/AKdGeEsT4DG/51fVP0RkNXAKML8YVU1o4jM4akzcTGmVVgUYT+H1gTuAe4AHe84ZWqb+kL3M6pNUta2I/Adooar9IpSfAIxX1a9i+IyGwBOq2qHYFTbGh8kt00/BZS9vEPTSUiD1onkZi0u/ViVLRAYBvwFPA58C/1PVBWHKVgLmqOrJMX7GSNx0zBeLW19jokmtnS7A3UA6UCngJcUlEbtx0rqMiLuIJBtvzfR3uOVHRwNPAm3DzTAQketxeU9Gx/AZFYFvgGZh8qMYs1dNaz3wUNzyujODXvoL6NN9duabpV6pEiYiXYBeqnqdiDwALFPV8RHKzwU6RViqFOo9FwAdI923JzsLIJiENqVVmuDWG14Qodj/9ZwzdEwpValUiMjtwC7cTcp84MwI06sQkdlAZ1Xd7Pczxp80REb/PHHhtXUvXFS9QtWqwB+4qVdf9lk8yC4MZq+a3DK9ATAXN4MolL+AlhfNy/CbrCjheVMYFwHtva9eqho2UZqInASkqerFsXzOMfvXOeWE6vWfv/zIsxcCFXGJnCakzs9YW/TaGxNaau30O4GREYq8PGldRu/Sqk9pEJHTgRtUtbeITAPuV9WPI5R/BLeDUqTZRoU0rn7kU1fV7XjQCdXr5gLbcEne3u4+OzPUzkvGFNm01gOr4Ga7NA1TJA/o2n125vulV6uSJyLP4Wb7/Ay8BbQMs7PZnsChqh4fy2ecVqtJ5TzyVtx+7AXvl5fy1b3PmtBzztCIW0EmEwsgmIQ2pVVaG+DLKMU2Akf2nDO0zEzfFZE5uC0crwT2U9V7I5SN+QI3/qQh++OCBeeHeHk6kNpn8aCtsdXamPAmt0x/Grg6SrGxF83LKDMRexE5BTdK2wuYB5yvqisjlL8UaKiqQ/x+xqQW6acCbwOHBb20C7gxdX7G07HW25hwUmunHwCsAapGKdp80rqMhaVQpVIhIo/i+satwO2qGnGvdxGZCfxbVX/zc/5prQcKMERV00KsnV4KnNt9duZPRai6MSFNaz3wOtzs3kjmdZ+dGWl6f1LxEiYuwOU1eA6XZ+ytCOWPAcap6jl+P2NKq7Q6wFSgRYiXx+IGPZN+yaYlUTSJ7gofZWrikhmVCSLSGNgM5OACCA9GeUusOzCAm9lwfpgAYjfc/vLG7BWTW6bvh8vpEc0Vk1uml6V+qTduy7drgA8jBQ88JwC+RygmtUg/EsiicPAAYD/gqUkt0s/1ez5jfLiA6MED8Nd3JwVvaUEnXL6R4cBdPt52BC7Q4tdNwD1hEq81BrKmtR64fwznMyYaP2205bTWA5uUeE1Kz7m4QOBJuHvnKZGLx9YnT2mVVgG31XqLMPfXN+G2cU56ZelGzZRNdXyWO7xEa1G68rPDDgQeUtVtUcrHlCF2/ElDGuIebIiQJPaC8ScNCTetzZhY1QCq+Ch3AFAmbpK9mUHnAjOBm4FhPt4Wa7bnfrgAaiT3xHA+Y6Lx29f67buTwdnAx7gZe0tU9dtIhUXkYNyuSb6m+E5rPXA/XH8fSQP8BWGN8WtfbMv5iVBHAnf5aKOx9sk9gOYQ8f761imt0qrHcM6EZAEEk+jW+SwXNj9AMvFGH/6Fy3vQEXjGx9tivcBd5LNcTOuwjYngb9yU+mi2e19lwem4dnwDMEFV1/t4T6w7MPhpo60ntUivF8M5jYnEb5/st1wyuBSYjAvGpfsoH2uffDpwqI9ykXZiMiZW+1RbFpEDcX1sLdzOSNGWR0PsbdlPn1wN8L0kIlFZAMEkupeiF2Erbr1RWdAC9wBxJzAoXGKXILFe4KKNWMZazpiILpqXsRN4zUfRl8rQdo698fKJAI9EKywilYFcVc2J4TOsLZvS9ibgZ4eAMrEjiIjsj9virQkwTVVX+3hbSfXJtWI4pzHR+Gmj3+J2BikLLgDeADKBAT7f04QYljDgv40mfVuuEO8KGBPFx8CHuPWH4YzsOWfoltKpTonrDXyFmwb1drhCmY0yKuByFRx/Zq0zzjxm/2N8bRUlIvv1q39Z9ROrH+eneKx5FYyJZDhuCnC4JQpbgPtKrzolR0T2w22LlQeMUtUd4cpmpQw4DDj/8abXNnlv3eLtWSkD9u8ya1jUWRgiUueJprdur1Gxao0oRfNw20gaU2yT1mWsT62d/iAhbsBVNX/a7jvAnNKuWwnpjst9cAOQEq5QVsoAAdoAbW+q3+WCv3fvmJSVMkC6zBoWcYq0iMh/6nascWGdlMDfXzhlZocakxCexS2vOyZCmfTuszPLSrb93sD7wDxVXRau0My2d1UFzs/VvHq96rQ8/Ib6nfbH3Z9EJCLVH2xyzX7HVA2VkqiQpG/LNgPBJLSec4YqcCFuJK+APM1jR+7OB3HRxKQnIuVx05q6AP3Drc3KbJTRDViJS/4y4qyDOx11zP5HL8hslPF6ZqOMQg8TIlJeRDqIyHhg8cu/Ta/gY5QzF3ihOD+PMYEumpfxLS7oVWi50bbd2duBrhfNy1he6hUrGZ1xyxdaEaYdZaUMqJiVMuAR4Ffgsfr71+7Xp16nFOC3rJQB/w31HhGpKSLXisiHwFuL//7Rz0Pa1NT5GWViCqpJGPfgkvsW6KNEhOy8bR8Dl0xal1GWHjr2B54It01yVsqAxrj2/gVwX/dDT2nb+4h2DwNzs1IGNAz1HhFpKiLDgW+f+3Xm2dt2Z/8aJXgAMKHIP4UxQbrPztyCG5xbHPzarrzdebmad2332Zlvln7N9j4ROQw30+cKIOwuRzPb3nUjLvnpC+WlXOYN9TsdBvw6s+1dD81se1ehQXcRqSQi54vIq8CsKX/M9hMYWIMLZCQ128bRJI0prdJaAhd9sWHJv0+oftSEESsm71q69beKqpoW77oV1cjGGVVwuQ5qfrrhi5rvrnu/h6JbVPXCUOUzG2V0wmVdLx/mlF8CZ6YtH7QbtxyiNy4oMQeXDf5DVc0Zf9KQNCDs1pBAZp/Fg5L292oS1+SW6ZWBXptytp6zZOsvbVsd2HjgFQtG3pajuy9V1aQNIHzSrv/RQGtAr1zw9KWrdqyvgZt98G6o8lkpAyYC/45wyj5dZg170ptC3QPXlusDrwOvqOrySS3SqwGzgBMCRy8D/nsr0DZ1fkZZmYJqEkhq7fR6wL//2PVzrwqy3w9/5Pz09rfbP74SONtvAsFEM731wHK4nAR112Rv2HnjN09m5GhuLi6r+s7g8lkpA+ritmg9JPB4QBtcC7TsMmvYb96WcJfg8hCtwS3RfFtVt0xrPbArbuZGuIG994Gu3WdnlpUlXiZBTHN/852Acz/669srOxx84j1XLhjTakPO1ndUdVK861dU01oPrIWbCVhl5Io3m36+YUkT4GtVHRyqvBc8GBfhlM90/HLENd5gXwdcbpR2uBlKLwGz3zp1ILh77Uj5Snr3nDP05Rh/nIRjAQSTdERkCnA7bor9fNzNyu/xrVVsRjbOKAf0B+4gYP3jhl0bc9bnbOj71K/PPRn8nsxGGYL7eZtHOvdH6z9+/cP1HzXC5VJ4CXgneAr1+JOGCHCHt+f0nmywu/Jy8ipKhUEiktln8SC7OJgSIyK1cXswtxeRc4CrVDXpEnd+0q7/EcDjuB0XBNzsqAWbf113QvXDT+wy68FCMy6yUgacgmvLYeXk5f590fzR72Tn5TTDPVi8BCwMfjCb1CL9UNxU1K6Bx7fs3v579Qr7n586P6OsTCU3CUpE7gZWq+rzIvI6brT+vXjXK1bTWw/8F3A/cHT+sS27d+z+bsuvL6fUbHhltxBTubNSBjyKW94Q1qK/V33Sf8lL++G2Zn4Zd937K7jctNYDewCP4baABNy1JEdzX65UruJ13WdnRtuRyZhiEZHvcTk8jgDexQXO/CRAThjTWg+sgmvHVwOV84//uG1tdjmRTv2+eapQ8kRv2cJvuB2jCskPCN75/aQX529e2RI3WPcy8FFwrrIprdL2A0ar6nXeFrAAbNudnV21QuVre84ZWjbyw1gAwSQbEZkIPKKqc0XkMuA0VY3YgSeakY0zHgRuCTwWMGKRB1zQf2l6gRwImY0ymhJiqlmwDTkbv33w54dOV9VN0coeVaVOp7pVDnu1a+3Txx9a6aDvb/t+VK+tudvvV9XPYvqBjImRlydgrqqe7O0+8iFu6c7cOFfNt0/a9a8NzCbggSPIUqBN+y9GFmiLWSkDxuC2YIzos/VL0jNXvJWpqlFHHRtVqzvt+Gr1Tr70iI6jf9i2euU9yyYMApr7ea8xxSEiNwLlVfUREWkEPA+kJNPf3vTWAy/BPRCEc2+32ZkFdmDIShlQAdgARNySbVfe7h2Xfj2m8dbd2VHzCqXUbFhNRH496+CTpreu2fCz2757tu7ybWs2qur9fn4OY4pDRL4G2qnqDhEZAfyiqo/Gu15+TWs9sDwu4N4l8HjA/fUWoF332ZkFZuXNbHtXb3wklVy69fcpfb+ZeImqRk0ke2zVOrc1rHr4oD71utyr6E+XzL9/UI7u7qyqa2P5mRKVJVE0yWgz/0QJXwZuEZGGyTL9eWTjjCYEBQ+gwJ6x5YCxIxtnTO+/ND0wslnXz/lrVaxZ3k/wAODX7LWtf81eu/PLjQvvUdXd/5XBPwO3AhZAMCVKVXflR+dVVb1RzBEiclYSTX++i/DBA4DGuLY+KOi4r7Z8+kHHb9Mf3vT1ELZ82+oTlm9bPeOttZ8/CHCPTDgPNyuhUP4YY/ayzXjtQFWXichC3BTepJimO731wErAmCjF0qa3HvhMt9mZKwOO1SBK8ABgv3IVqrze8taNfuoye9MPrYC/Zm1cPlpV5/WQYTWBL0TkIZ+7MhlTHPn31zuAkbi/vYmqujW+1fLtQoKCB1Dg/ro6bnZCcBlffXLjanV2+gkeAPy0fW3rn7avXfPun/PvA8iREYfgZisF3w8kJQsgmIQwpVWaAKcBbb1DXwBfeEkUg23CCyCoap6IpOESKV5UGnXdC67xUaYuLhFb4M3/Bp/n97PffL6OwN8BNyZfAPeLyLGq+mO4N63u2acp8D+vjpWARbhp3FOOnDI+aUadzN43uWV6ddx2SUfh/mbfvGheRtQlRqo6W0Q24v6mskq2lsX3Sbv+FYCrfBS99pN2/Qe3/2Jk4LXMbxv1VU5E6gE7Kbh13GjgASIEEFb1uL487kGvDy7YsQOYBjxSb+rjSRGQNSUntXZ6Y1zi08q4rczembQuI1QC3j19smcIMENEXk+S6c/nAbWjlBFcew+8+d+KW5ZQMeQ7/rET17b86IDLcbQMQFU3eklTLwTCrkef2iqtDnAjbh/6A3FLPJ8Bnu0xZ6jfzzZl0LTWAyvgcmE1xf0tzug+OzPcNqP5bXmt97c3ATeolFEqlS2+a32U6Tyt9cCjus/ODJwR5LdP9nUf7s2qbIWboZhvIjBfREZE2pnp6ZMHnwnchNvVBeBzYOw1iwYn1MCe7cJg4m5Kq7QmwELgU2CE9/UZ8PWUVmmNQ7xlM66DzJcF1BKRViVd173E1x6KQIOg7+fidl+I5hU/JxeRSrhRoz0diTfy+zAuOBDS6p59LgcW4C7URwGH4h763gBeWN2zT7gEj6aMm9wyvR9uHeFzuCSd44BfJrdMf2Ryy/RQN9kqIoH90EDg3qBjiaoW/vZvP5yAdZgeP4mpdhBhK9cgHXA3QEvzD6jqItx9zEmh3rCqx/WVvPO/CLTHteP6uBuXxat6XN/D52ebMia1dnqt1NrpbwNLcEGoTOBNYGVq7fRuId4SOCsQVf0NmIoLTCWDIvXJXWYN24n7vUQzucusYX5nD3QAclU1cNu4h4H/kzDbNExtldYC+AZIAxriEjq2BB4FvpjaKu0gn59typhprQeeBfyEu9Zn4kbfv53WeuC701oPPDjEWwq0ZWAscImIHBKibCIKvm8O59ig76cAfoKdvu6vcQH5DbhrKACqug13n3xZuDc9ffLgocBHuIDh4d7XxcCnT588OKESmyfDTZopw6a0SjsK+BgIdZPbDPh4Squ0I4OOB9+sKJA//TnqPkgJIOp+sqHKDVyWnkuE7Wc8K3FRTj9a4/aiXRp0/DXgbBE5MPgNq3v2ORGXsC1ckOBSXGJIs4+Z3DL9Jtw04OApvRVwD6WFEoPiRvCq5X/j7c28AJepPNFtI2gbuzByKHxj8iFutg8RVmuM6TJrmK9pz7iZROUo3JZH4/b5DmUobnQ5lErAq6t6XH+Uz883ZURq7fRKwAzczh/BDgempNZO7xB0PDioDzAK6BuYpDeB+e2TQ03jHoEb1Q0nG/e7iEpEquECkwW2glPVFbjtb9sEv2dqq7T9ccGacEGC5sDTfj7flC3TWg9sh8sHEGp6flfgfS/hYKACbdkbKb8PF9xPBkW6v+745Yh1uGBJpD75Y9xApx8dgXUU7pPH4q6LhZ5Vnj558IVE/j3f+/TJg7v7/PwSZwEEE293EXnq4KHAnUHHgqdLoqpzcCNwhdY+JSA/IxY5hJh6PHBZ+rO/71z7UF7o3FTLgLMHLkv3ewEtNGoJoKo5uCBBqKlg/QgfPMj3v9U9+0Sb0mnKkMkt06viHkgjuXJyy/TgQGHwaAe4INkAL8liwmr/xchtuzXvQx9F327/xcjcwANdZg3LA3r+umP9b2Fino/h84bNuxE5Ffd7DE7SNh1o4e2BvceqHtdXA/4b5dSVgev91MGUKam4v6dwKuAemgMVasdeHp6ngNv2au1KxlSfeVcK9d1dZg1bsDZ7U+/tuTtDdcqbgPO6zBrmdxvVdrjdk4IfOsAFAwvlTsL9/6oT5bw9p7ZK8zsya8qOEUCkfrQZcHnQsVB98kTgDG8b0oSWp/qWj2K/4AYqgvVfse2PmWH65I+Af3X8coTf/EwdcAMMwffXa4BvcbN2g93q47x+ypQKCyCYuJnSKq0ChS9eoVwxpVVa4N9qqAscJMH0ZxE5dODyjIs35mwKmZAm4B7m6f5L0/8I8f7y41Y9lvLmH2+dA6QDr3y/dclvq7NX9wFOHLgsfUUM1elA6FFLcKPFV4tIcJ6UUBe9YHVw2wCZfUdPwmx/FOQ/Qd+HCgauwU0njPaAG1ci0jlt6RsNIj14qGoubvSmkK6zhx993eLxv+zMy+kEPL5t986pM/5ctBI4vsusYTd2mTUsN9T7QjgW+BXIDs56733/OIW3mWuNj+Rv+Gvvpmz5j48yrVJrpx8f8H2hduwZB1wkIofujYqVBBGpfO6cYX1mbVoecbaPqn6N2++9kP8seqzTfxc/dQsuB8GL329Z/c2n65c8CdTtMmvY+zFUJ9yoJbiRz3oiUj/ouN82elYM9TBJblrrgcfi8opF85+g70P1ybm43B/37pXKlRAROf66RY922ZmbE2lGEMDI7rMzC/Wvnb4aWf2/i5+t8+WGH07H9duTsv78ZlNOXu6ZQKeOX47wNSPQewY5CTcAGiqXUKFg4NMnD67GPzngIjnz6ZMHJ8TgiiVRNPF0AP5uYmvgpjn/7X0farokqrpcRObjptEn1D6r3ijhlcCduZo7qHr5av1x00QbBpVj+bYVW179/c1p/UkPdaobgVlfb144w3s/IjIKWBdLhmYRqQIcDFTFS9YUKELiJr8Xrkp+62LKhOBlRn7LhQsGjgJmicizQWuB405EDgIeBA6btfGnjiLSEfeQXqA/zcnL1TE/f7Bq6h+Lligjg89RAbc+uc95c+5bCMz0rhFLH/p5+jJlWCxV6ojLYxJuFDJU4ia/7dPa8b7Hb1uuyz/re7cSoi9X1WwRuQ+3Nj/qtqWlTUTOAB4BXilHuWNwfV2hWYy/ZW/YMWrFW+/9sO33QrMMRCQFOGndrr/7eTOLHusq8i/g1Mwf3ow1c3173OhkoQCCt1PNGFx+osBRSL9tNCEeOkypiaUdBwp5f41bJnO7iDRX1VCj93HjzVbsD1z4567NfSuVr6i4+tYKLjvtj3kbn/7lg5k5ZIY61QjggbSlr3+OS1xIJ5Hpo36cvjrGnaGa4trx8aq6PfhFVf1aRCqLyAmqmp+DzG/7FNy9RtyT0ybsSK3ZJ+RnMI5mJxDYCMM9dICb/ny3lyAwIYjI0biH/fbAaao6eeDyjJ+Bk3FBhWnbcrd/+9P2lcu/2fLd1c+sfv6nrblbR4pIs6DzHImbUhwcWViIm4oWi7bAl0B1Vf07TJlQiZsW+Th3NiGCEqZMK+quAuGCgZtxs2ASZvqzOKm4G4uZQFdV/bn9FyOfxiVhGwF8smLbn3/+smP9+Bu+eX781D8WzQYm529XGeB/wCequjD/gHeD8htwRIxV64BbHx2yzYVJ3PQN/vI3LIxexJQxMbdlb6ZLuPxDzwPtRCQ4aVnciEgNEXkMl1n+YlUdPmT5q5txOUG6Aq/kat6shZt/3rQ5Z/tVfb95cuWK7WtPE5HLgs5TEbem+Yag2T8x98kiUgO3m0N9wvefrwLniMgBQZ/lh5++25Qde7tPzs81NryY9dqrvOTpX+HaToqqftF9duaXuGSKtwLv/7lz809Lt/726WMrZ9z+xKr35u7WvMnBy/pE5DSgEW7nkkBFub/ugGtvwUsKAwXnJ9qIm0kYzQr87+hSomwGgombnnOG7prSKu11oidMm9xzztDA0fVw0yVR1d9FJH/6c7R9nUuUiJTHPShcDdyqqgWmMvZfmp6NGx2cKCKHAy+q6oQX5dWGuLb5ooico6r5F6ExwN0hRmQX4rK0xqIDbg1Y2HWRqrpCRPITN33pHX4cOEdVkfD5Kl85csr4TTHWxyS3KbjpyiEDdwF/L8EZjCMFAx/FjZw/pqqFlvOUJi949ygukHlmcH3afzFyJe7mijNF0nGd/BTcFk4zgPEicrU3ilgPd01oHeKj8m9WVvusl+CSpC0n9LTnfOOAaSLytKpqvamP/7qqx/XTCJ0oL9DjfuphOFgNngAAIABJREFUypRJQEqkAt5sP1+jkKqaKyL5059774X6FYuInIcL9o0B+gY++HebnZmH29UpC+A8kSW4PnoTbqr3rSLyu6rO9N5yC/Ceqn4b9DErcTscxeIM3O5TXXGBxEJUdZeITMRtBT3aO/wMcA+R7+eX4D/5mykbvvO+oi0nfTno+7B9sqp+ISI7RaRjQBuICxGpirumtAH+o6oF8ox0n525EddGRotIZ6A7buZgB9w17i0ROUtVt3ozGMYAl4WYaZDfJ78eQ/U64PIPReqTpwFDReQQVf3zmkWD9emTBz8OZEa5v378mkWDY5kNUWJsBoKJtxG4EeuQcvJ256YtfeEALztxvnBTrPKNAm4IitKXKhFpirsZqIuLikZbB/k7LsM1uItiV9zoyJsicqCI9ARQ1VDbui0jaCmED/mjlpEucFB4rdbUVdv+fj/Cxe0nXGJMsw+5aF7GX7ipwIXkd4bLt67eljp/6GFBL0cKBuZnL79nr1Y2BiJSTkSuxz1QPKWql/gIZnwPNPFG/gfgchTkAuneA/9Y4E7v9WALiG2043hc8OA4IrRlb1u94MRN/9u4KzvSWtGH6019/IsY6mLKhmeIPHLG19ve1Vf/ujd46nNOiJk2+aYBR4jIKXujgkUhIoeKyCRccuDOqvp4cM6QEFbhtiqegrtfHgOMEZETvZmFlxNiXbh33j+CRzmj6IAbSd0apV5PANfm5yfqMWfo6nU7N0e6Rm4Dru4xZ2hCPHSY0tF9dqYCgyOV2ZSzbde1ix49KCjXVdg+2TMAyIznjmcicjYwCzdif1pw8CCE/D5ZcTtCpeICg694P/sduESqS0K8N6Y+2Rs4bIxLQhypT87FteXARMWj1+/atCrCr/YT3GBAQrAAgomrnnOGLsIlYCuUnERVN5SXcl2+3bLqXeBzEWnuvZRN4X3VA9+3GRhPHKY/i0glEbkXt4vBzap6a5gHhQK8C9tfInKwt2aqP27K8QPAW7hpYyHXkHoXoi0iUmi9V5g6VsPllDiU6AGE/MRNRwPUffvJI8748NW276z56U0KjpJkAxOAtkdOGR/X0WITN3fhdg8owOsMP5y3eXlTRXuLyJMisr/3cqQZCAAvAG3iMf1ZRBrhMi+fDLQNE7wL5TugCRQI+L2DG9V9BNiuqoV2WPEsxM0o8KuDV8dGhE7WFKhAMLD+tCeu7PHZG7uyc3e/RsGlZD8DfQmd8d2UcZPWZfyNS7gXKjfObuD/fsyefyMwXUQuDHg50shl3KY/e0uPrsS1k9eBnqrqa4YPBR88+uEeNK7BzaR6Grg9IK9IsFinPp8BrCXK8j9V3YB7kDgf3PrvaxaPvfHxVTO+ouAyBcWNgp7WY87QWTHUw5QR3WdnvoZLoBtqvfyPqtryj52bFPjAm2UHUfpkb83+EqDX3q5vNCJSS0SexbXD81R1tHf/G81veDkhVHUl7r7iCFwbnYibwRvu2vQjEWbqhtDcO29jot9fPwv0FpHKANcuHpJyz/JHD12b/dfLuP8P+TbiBlPOuWbR4LADrqVNYssLYUzJmNIqrRpuemM7QF9b88VRWesWjP9z56ZXAETkJOA53OjIWOA7VW0S7nxeg5wPdFLVtSX+A7jPbOfV7XVglKrGlORERJ4EJqrqZ973k3HJIG/DBUxahUvkIiJPAK+o6kc+PqcrbjpXHjBNVUNmlg4ofzlwCi7y/CPwqapeurpnnwr8P3tnHmdz2f7x9zWrXURkTSSlkDBjFBKlQmnRRipFvzYPKmZGJdlSad+jSNpUtkQiKox9KdIiyp6dsc1yrt8f1304c+ZsM8OTeubzennVOee7z/e+72v5XJ/LHKU44LfCsoVCAHzS6LGzMbpvtUxP1t6hv31w1Z7M9FobDm3PdFmLB9zvXYEzgaaqGpS1IiLtMGrhzSf+6o/WNT+MZSkeUNU8UX/d/ktV9Xz3uSpWxnANsBK4Q1X9Szl8912uqhF1MRGR8cBgrPwp6Hzos/1sLDhQFWtJ10JVF/7R/p5Tsb/FIWB19cmvh8vMFuJfjhvLPxYDXOX+FduS8WvM8gNf79iXtf1+ABE5DTOA12Nr1MdAL1UN2glIRCYAL6vq1yf48r3nq4GV4WwB+qhqpHXh3v3vAk5R1Wfc54cw8eFsLHNYI5iGkIjcAVRQVf+Wl4G2PRX4EtMdOlNVQ6rdu+DmSOBijB1VA6gzqXGqB3N2ygAb2i8ctCWiGy3EvxpTElJPw9bc84HDL677ounyves6/XVk72oAEbkcCzD3BRYCH6lqy2DHc2vaF8CFam2/Tyic3XADxqgYDozOo6ghIpKGld/udutsGtAF+Br4QlXvDrHvXOAaVd0ewXkeBvZj9sMtqhpyDIrIU1igYToWPHxcVUeMrD+gGBaEAFh9MgUOvCgMIBTipISjOj6hqu19viuOLbDlMOpunVCTiIjcBiSo6n0n+FpLYtHLekCPIDSoSI7TC8tOvuE+V8YYANsxGtVuVU0Jsu89QFFVfS7Q737bDsdqs3sAd/loLATbPg7LbOzEnn3dCKO+hSgETqxsmqpO9PnuAoyxMhMopqr+bQZ99xdgNqYjsuQEX2sjjEXxFfCkK6PIz3FWYAG/I+5zL8xY+cj9t7P6CCj67bsIaO2YVKHOEYVlgi4D3lTVXOrxAfa5GtOcaQf0V9UXIr+rQvwvw7GGlgLnOSaC9x3shXU+2oyt2UHHqIiciyUBkiIoHyjItXr1h7ph80bIIHmI4zQFuqvqHe5zLOZglQKex8ZRu0BOlJgIcrKq3hjBea7FGEpHgJWq+kkE+0wBtmGZ4JqquiPiGyvE/zQcI+dsX3vSlduMwZzYi1U1JHvG2ZG/q+oJ1clxdvCr2Nh4IIISwmDHGQmMUtW57nMz4G1gEVY+/I6qBuzeJiIvAxMiCXyKyJdAT2AS1oUhpJPtgjGTgFOBJaraMfK7+ntRKKJYiJMVy4DTReR0bwTPlQLcJSI3Yc5HayCUtsD7WBeBWqGyInnBzKTkeCwjcwawt/eP7x8EUjGn48ECGkWr3bG92AZEA79iWdvPRKSHN8Dgh+Xk7vUeDC2wKO4gIhBrUxNu2g40AqoVBg8KkUeMwsbI0QCCqi4TkYuxMdpARE5R1YAMFlVVEemHBeki7XkeFlMSUqtiquvF92QeWHfn8pebYX2z71LVgiqW/4LpknhrMxdimibTsXrwjyWnQKovVmDByO/CnMPbKupswlMlvfgGGA98WRg8KEReoKoHRWQOps8zxX3nAZ4VkW+xDPqNIrI0mNGsqqtF5EfM6f34eFzXuIaPC7amXQBkfLZlzp9YucQCTH8or60UffETrhwJQFUzRWQ9Jkz3CpbpPyqQ6rfvat99w6AVltG9k8ify3ys61TLwuBBIfKI8cBiEXnUa8+p6lbHTn0EOFtEaqtqqLK4YcBcERlbwDF2FDOaJpcGOgCnZatna5dlr52KJbpSfBMQ+YR3PHp1fdYAFbEAwhislbKvQKovvOVIIQMILsBYA9MX2xshS2Ij1oLZQ97F0P9WFDIQCnEUM5omlwCKA7vazB96wmlJ4SAiDwJFVHV4gN/mYdT5icCQYE6tiFwFdFHVcJ0ewmJmUnJnTMW1vPe7LE+2Jz37yOhTYov1uHRewZ6Zi0S+o6qt3edeWJ3WRVhw4BdsAhusqlP89i0OfK+qIeunReQULOvbAitFCCtqJSI3YE7gdqC2N/tUiJMT0xJTBItmZwN72qYN+VsneccgWAJc6V9O5CjGn2OBsu6qOj/EcT4HXtXwgqQhMSUhtThGa74FHx2gA1lH9sRERXW5btHwKUF3jhAi8gSwWlU/ckbFfEzP5H6Mdtzcfb7UP3AiIvcDUaoasouMiPwHyHL3kKWqr4bZPgoLSpwFvKaqj+fr5grxX8O0xJR4zEnd0zZtyN9OYRWRBKCvql4b4LensSz6BuCeENT+KlhtfoHpz+MaPp6AlVHU8f1+X+aBuaVii3e8ZekTYSnH4SAia3CZRJe1HIIFFhZjZQRvARtU9YkA+y4FmodzsERkOTYvfI8FPUK2aRORs9z59wHNwrEIC/H3Y3piyimYzbrj8rQhf3uJmCuZ/UxVvwzw2zqszfpwVX0vxDH6ArGqOqgg1zKjabJgYsmPYD4IAEc8mRkZnqwnSsYUHdpm/tAC2TEicgUmntrLfR6J2SX3Y+txUSwIepP6dVVxzMReqnorIeAYS/dhWkf3qeptEVzXMOBeYKHX9v+noFBEsRDMaJrcckbT5GlY3c5WYPuMpskvzGiaXOFvvrRxwK3OAfHHFixaXwqY4WhOgTAVqCgiFxbkQmYmJd+K9bMu7/t9TFR01Cmxxe7AGBEFxUac0IuIVMPol49jE9IrmFDhNcAQN6EdhWNnxIgTYwmB5lhZRG3CiDW56zgPo3k9zrE67kKchJiWmBI3LTHlYawTxnZgF7B8WmLKnS6o8LfAReHfwxTL/bEXUwm/DnhBRPo5RzcQUrC2R/let6YkpEZjQcfO+K1/xWPiT4mPip0wJSH1eCzivtnHXsAMVf0Ay2TcraqzsQDCpyLi3/oyUvG1VsAsIhNrAiv/qgMkAZ0imCsK8TdhWmJK7WmJKaOx8bEF2DctMeXDaYkp9f7mS1sInOn0D/yxHQs0f42JHjcOdAA1AcMvgaA1x5FgXMPH62PB8Dq+iTBVpVRs8WbA1+MaPl482P55wAagiivlewnTPkjGesyXx4L7iU7zwB8rMaZQUIhIBaw97EHMGQsXPDgFK+maA/QniLhyIf5+TE9MkemJKTdPT0xZiAnhbQM2TE9MeWx6YkqxMLufaIzCbOhAOIQFtK4WkdGSswuaL17ERADLFfBahmBsmhzjNT4qNq5kTNHBWGChoDi6JotIC4xF/BrGbByuqhsw4fIPxdqq++JH4LwIzpGnNVlErsfs+2uAOBE5J6I7OUlQGED4H8eMpsm3Yy+8b/1saax+cOGMpsnV/o7rAnC0vF+wPq/+2AsUV9WHgaexIMJV/hs556UfRrfKF2YmJccBz4TZ7NaZSckBDaZI4a51j4iUwafVm6spXYzpK2zDxGRGu+ytL34kPGXSV7U95ATnFoWvsPfjOcwB+U/e7qoQ/w24TOUUrDTlDJ+f6mFZsjf+ziACpnrcJUAwcB9QylElL8aofNMkQPszpy2yEnv/84v2WNY/2O/RwLNTElIL+qxWAee6MdqFY63eUrCyqgqqOg4rwRrp91xWYJ0fgsLVeNfGMqGRjOXO7jqud+Vck7G69UKcZJiWmNIYc9RvA7zBpVhMlCttWmLKJX/Xtbk1aixmaPtjL1BaVUdhOhuviUifIAG/YcD9IRyTSDAY53D4Dh+f/68HBHLq8wqv4/EQJjr8k6ruxkoAn3Esik5Y62j/EqtlhO+q4l2Tq2OClEEh1nJuGubg3Yh1g2gnpsNUiJMPw7BEmK9tWAlzlr+enphyPAJc+UUaUDuI838AY7fdgLHn5sqxLmhH4YJdI7ASxXxhRtPkKoQPEAyY0TQ5oi5jIbABqOYC9i8A/+czn1UXkeaudLEXMFF82sA7LSQVkaJhzpEX+/p8jL003JVNPI9pJ/xjUBhA+B+GCw68CQQzlqthL/jfiWBR0qOtZhwFqzXQS0RGuEzBUahqGtbmsE1+LiDTk3UFVisVDvkyVtKaP1Q6rflDddOaP1QVM1buAQ5rzlZv/YH7nCbEz0B34HMx9WYvImkB52UghIyQumf4FUZju0UNPwO7HY21ECcXHgZCvd93Y1n+vwVq6sVrgQS/77Mwpx1VPaKqPbHg2awAxjiYCnN//zEeKQ5nZ9wDOR2OAKhH3lopAjCnWV+Z06xv9TnN+tYdePY1WzEj4lVM/f0gHG0xOxAzugCewoIog73HUdX9QJEw93gB1q1BMYM0qNKzYyu9ADytx7q0vIQ5cH9nUKkQfpiWmBKNOYXB2qgVBT6clpjyd7JH3gNuC/DuHO0fr6qrsYBgTWCKiORg7jkH/F3y2Sp0XMPHK6rqlRFsGizDGhLjGz1aZHyjR88Z3+jRs2Ik+ids3bwRy5R68QGm03SJG7PXACPExBO9iIRN5HU6IslavoI90zaqekhNpPV9jk+gpBDHEdMTU1oT2jFuigUS/ha4teN9AgcD92DBQFUTSewMjBKRBwOM+3eBS0TkjPxcx+HsjDsJ74sWwYKSecb0xJTTpiemnDctIbk8xrJ+HPjUq+/gnsO9GAMyzpVIvgJ84soPvfiBEGwiF5iopKrrCG9fl8dYWAuwQCQYM/Ki48Dm+K+hUETxfxt3Y5mNULhsRtPk2m3mDz0qpuIymZdi1L0LsUjlLOCltmlDfgh8mHzjK2xRLu5o+l4cNVYAVHWzWCuafsC3ItJZcwonpgBjRGSm5kHoUETOvaVy0og7qzWPZPPqkR4XIK35Q2dimckbcH+HiU26b37x9zlXz9zxcw66lKruE5HHMSbATao6V0QGYcKKl7sI6XJMFTrYvZTDaqX3iEgd4LMg2wmWta5M7npMby/5AmtKFOL4wDkdkQho3o+JJx3FlITUkpjx2QULkm3DIvKj2i0YHLCGuQAY5c4Vsie5qk5ytcNjRaQV8Ki3VlpVN4nIF9jc9UqkJ3bvdLdXzr+7RbWi5cNuj43lpZEef06zvp0wWnMDgOan1j7yWO0OWe9tnLfu9wPb/RXgPwJuF5E2qjpDTOvFXyB1NdZpJpiYYyvgG5cl2R9MrMlRMSdiGe2jzo+qbhCRX9xxZkZ6n4U44WiLtdMMhdMwEcKxvl9ObtL/PGyMX4qtJ8swiu6M9gsHHTcdFFXdJiJ/YKK6i3x+ytE/3q0b94rIdcBsEXlAcwqUvQQsEZHXNYL2aF6ISPl6JWuO6lvr1kiCX3liUI5v9GgpzMG4EzgFYHSDh7aO3/J9sal/LbzucHbGUR0Kp4lwL+ZoJDgb5EZyCqSuwFhhodAMW1PvIbTTcTf2d+/inBQvXsee7ytaKHB8MiGS7l/dpiemPHp52pCjNtYHDR+Lxv7Od2Mss3RsDn/15qUDNxzna3wPmCwiL/qtId6xvAlAVX8QkYuwLPkEMdHQne63LBEZgAXGw9b8+0JELulbs13PS8tHUh2Qt7E8PTElAQvQHGVXv1C3618j//zm1pX7/6ztu62q/iwik7BEzGBVfdeVEfsKpHqDgQuDnDIRCwiAtVJdG2gjlxj4Eusqcb33uatqtpguRQ98EgonMwoZCP/bSIxwu6NZQxc8eAGj3l6LGdo1sclu+bTElHxF/IPBLYifYxOqL3IYK95tVXUw1pN6gojc4vPbGmwCiEjlVETiROQxYGzdkpVHR3i5uyPcjrTmD9XBJptb8AninBZfstKgc9qVnX9xn0DX+SlQygVKUNXxwAQsMBJF+GxHC6xuEmxh+jXIdg9ik+7tfoYKWKakVvczkhovatHn6kUt+rRf1KJPoHrYQvz3UAXLQodDjlIg14VgCTaeG7njXIgFiZZOSUjNU0AsAkwDWoi1g/OFx1Hyj8LVSbfGdD9m+5XrPIWxcSKiP4tILawuO6FSfNlF4bZ32BXhdsxp1rcvFhTwHXvxrcrVKf5mva4XzWnWt5bv9s5guA9Try/iWBg3Y0EFbwBwGaHH8iVY0DYoVdLRLb/E6M6dAgQZngN696w+MKFn9YHX9aw+sGXP6gMLkwp/LwKV64XdbnKT/l2x+b8HZrxWxzLi04GXJzfpf7yZJoGYgXtxTrcvVPVTrNvJEyLypKPhewMMzxAh/VkMtwJzYqNivnLHCLdbxGuyCx58g2kbHL2PuKjYirdUvqTU2Av63jG+0aM5bGZV/RULxPd1n1dhY/tzOdZZpoT3ngPcUxVgp2MoBc1aOudtEPC6HzPRW+o5t3KRsjdOTUi9cmpCasepCalnRXrfhThhiGQsn4KPAOgHDR8rgpUifogFAqtigeR+wOoPGj7W8nheoFqHs83kZtzlGsuunPZujHnzrYj4ZtUmYtooIUvvvBCRU5yz3L9eqWphW5Y6RDyWpyemXIYxbXO0Nj67RKXThp5zc5VpCcmXBthtKKYNVNN9fhITon7MfY5oTXashSjHDsoBl8h4G7O1rtLc4qqjgM5v1L/vvIlN+nec2KT/FROb9D9py5MKAwj/oxCRqPSswxHVX/2SvuU0H9rSXQQX7YkC3nI1nMcT7xChsQKg1ue1OXCDiIwS61AAFo1MFZG4qQmplacmpJ4z1TKwOeAo+mnY/bR8cd30qMPZwcWivUbMiLVfniEikQZl3gJCUZVGpDV/qKbvFz6Ox9PeWixVfQ5bAIY7fYTyElxkzjvBRQPxXlq1L1yZR1/gDQ2gzruwee8KHze63dOtWuICLHgxCdi4qEWfMYta9CkT5p4LcQKwfO/6cHV5AHjUI966PlfjPx5T5A+EmsBnx0EL4CicozyR3KUUezEx1Fzbq+oAzMGYItYNxEt/fgfoPSUhNW5KQmrtKQmpNZ1A4lGISIyIPIwZ+IOAoR9tnhu2jnJ3ZnrWdYuHXxIJlXBOs77nYoZHQMRGRZfFMoT+97YWCzoku88HyCmQGjQY6AyUM4DfCOJ0uPnaK/ra3lGsc+DBak+cdnul/1yCzXXjMedpfc/qAwskbleI/GNHxr6IjMWtR/ac6g26TW7SvyFmeEYH2fxeLLt9PPElRlv2nXtysAJ9oap/YGyXaGwN8mYTx2BBxRqjGww4dXSDAeeMbjAgF0XIbT8FuAJosXTvL5v/PLQtM1wFztfbF8eLSEf/AGUQPAYE7Erk1vhbCKy/8hRwnVhnBDS3QOrPWKAvELzlCxB8LJ+BOW2rMKX6HJiakBr/bv374186r9t7WCvIz4BfpiakzpyakPqPEmX7t0BEYjM9WZG8c6Tt/tV3TRqOsZACoQQw4YOGj0VEocsDAtnXocbyh5iW0FMi8piIRDvbNAUYOqNpctSMpsk1ZjRNPntG0+RcpVYi0hGYhyXQrn9h3fQy7rghL/KBH0bXE5HaITcCppse1HtYx4tciJaoKGD09MSUHHaTY/H2AV4REXH35CuQuoLwAYRvsDaOvwfZ5kGs1PR+l9TMgQmNU6u/fN49JSrGl/kBG8dTgU0Tm/QfPrFJ/3Bs8f86CgMIJzlcXW2FOc36nj6nWd8C/b1EpLqI3Cki44CfvtmxOqAD7guPKkN+ndgX+DNKZGx61uGBYXaJ4jgL7bkov7hMohe5GAh+++zCGBJLMAGY+qq66bqKiT+PafDAL1jHg9XA9qkJqWOmJqTWEJESIvI8Vp98D9aXdd22I/v+76f0zUFbu4kIqrpk1o7Vj2EBiu9E5NpgRkta84fOx1ozhkIUpnPgf1/rMFEe36xNHyz6+wA2cQWjwHrbRFUDcrV9cpPzKOy55GrxtqhFn1OBb88oVrZxVE7LLRajwM9a1KJPQUSx/tWYmZQcPzMpucrMpOSg720kcI5xUxF5VETmpKz58ON9mQdzOYj+WLnvT4BfRGTFiLWT3gOahFm0GwItC3KtAfAOuet1w43l2Rh7pquIvCEixe6q1nrU3dXaPOBR3YwZ6L8Ba6ckpD40JSE1WqwOeS4WpLsTC4otn7Rt0b4sT3ZIGmisxDyS4cnaiTEfXheRYMY/WMY3qBfjnu+lc5r1DWT4PIOpXJ/ttj0qkArsJLgOQ2NgsTNw6hC4m0oyxjB7UE18Mgd6Vh94PTCpVEyZon7vQGXgzZ7VB/YNdk+FgFlJ/crMSupXZVZSv3xpcXghIqeKyPXuPVv15h8zm0N4Y3rMhm/bAptE5ItfD2x+nfC2XO/JTfofN3vPlRRNBjr6fB1uHGeqagpGdZ4mIh1VNeuycglj+tfq9i3WO3018NfoBgOmj24woJmIRIm1NZ2K6YlMB5Yo+ub3u1aG6wu/c8PhvzpjQYflInKfTzIhB8Y3ejSeEHoJPsvdvQHu6whm87zqTbSoj0AqoZmBvgGEClgnC9/zlsACJxkY3TlH+eVUC5qOLx9fqmt8VKz/37cV8P3UhNSwTtf/Kpa07B29pGXvSkta9i6/pGXvfAfLHTvmXDGNgEnAD2vSNx8It9/ezIM6+NfPx4rI2jKxJUdmq6dHmF1KY925jie+AFpLzq484cby79iaXBLXBe2rxH7fdalyUZXD2Rl/YHboGmDrjKbJI2Y0TT5FRCqKyHhMT+EmjO24buGetY12ZOyfHyoY6FHP2J8PbPkceEdEJopIcwm+w7VYmVcolCM3qxlV/Rpbezu5z0cFUt31lglk14uxKk91zMmAa7KYptPDwIeOPZwDE5v0Pxf4rkrRU6v4zf8lvftNPI5z+PFAIV3xJMWcZn29dc0PYHRzgD/mNOv7KvB8i7lPZYQ7hoiUxRao1pjz+BdG5X0eWNq+YsPy2EAPKsgkMHnzkT1DgM6nx5e5pkRMkYqqGk6ELFgEtSB4B7gdExOEEBFSL5yB/YqIfA+Mfrjm1b/eWa3Vde437z3EA10yPVkdziha/q/1h7a/g9H8pwCKGTuvXlC6uger2QxUa75YRNofys7YimVX6mA1jU+IyBvAu16qkohEf9r4rhaVikTkQwZrPfkssEBE3ldThM521M6vsBr2BphDdRRiqvbpqpouIhfjl+kQ6/wwCavL6hREJyKZ4Blr3Hkf3Hh196HAZdizugDIxOqsX6oy8c0fQ+z/r8TMpOSq2HvbGSjmvvsKGHrpvKGzw+3vFso62Dhu7f5/ETaWO3vUs2FaYspDWDeSoKhS9NTOWLDn9jOLVWjnjh3u9G05ZuAWGKq6Rqw86ExnhEAINpHPfjtEpD3Qs2hU3LzLyjegaHScP0OgOvD0L+mbu0Uh6R70Jawm804sYNbyQNbhpVMSUmtiDom/Ya3AwBIxRZ539c2vYqyAkSKyCxt333pLAUSk6PSEXknx0cETAz7PtyHWUcb3no6ISE/M8Withp9FpDvwBlDcJxPiC2/5AtjPUQSlAAAgAElEQVS7MM7vnFdjgY1PAhkqPasPjMecMfG7Rl8M7ll94Nje9TanY8+vM+bgbMWyO6OqT349bNDq34ZZSf3aYcEobwB476ykfu8Cg1vNGxa2jt9l7Jth47gV9jeYhZWn9U45q+NhYJVbQ4Jh05r0TZdjwaabK8SfEk4zAaysoSbBy9byg3ewNm7e9y/sOAYz0kXkEmB0s7L1b7u76jVtJXdL0ctUtVVSmXq/zNu9cjYm9vwaNn9+APSfsm3e3nENH++Oia76D8ItQIcZ2xctxujWp2HO/xIR+RR42dG3ERFJrXVzgwala0bCoAvGUPjGZSlv5tjzeArTaTkfY1i9H2DXRKx7Q1lgl+9YF2MSfuD2vdolRfxxLSF0j4CyWKCyw+Qm/eth9mQrzPZfgs0DM4+nRsY/AUta9i6OCRx255hA9oolLXs/B4y5cPaIsM9DrHV4a6zUoAk2v8/E7KTV55eqdhFGow+K4jHxT2Vq9hygS+0SVTpES1QkAcm2FKCrmD9UNUNMV+hqjBUHka3JGcDDInIFMOOPgzv+6FLlovPdb951pTTQa2/mwU6lYoqm78s69Dz2rGZibUvvBD4vF1eyBPAJfiUHDp9FSVR3V/I0XkSSsKTZcJfw+9Q5+ohI3EcNezYvHRtRh8yG2Frmj96YvtB0Vd2jqvtF5BqO2de1yB0gSMISFhCASeSSBG9jXVYeDnI9z+GeeZA1+Vqg3cj6A6ZiQY27MHs8HSvzfrXbigEbg93sicBJFc0ohMExDd7DHFZfI7c6tihNmtOsb66JRkSKiMilIjJURBZiL3wC9nI1UdVWqjpEVReqalab+UO3YJnjrCCX8ouIdFfVNFW9/7m6t7V15wl3C/59zY8HPsFogt7oX0TGCoCqrhhxbtfOLU6te5Q67X8PsVExpfvW6lgSE6G6A1tYz1TVF1Q189J5Q7MvnTf0XswYGIHRi97xqOfKG5e8fHnr+cNKi8hFInItlrXdhFG07gG2ichfIvIrsOKDjYtzZTGCIGDdhJssH8TaZHkzHoewbNCFQK52lu6avI5gjrppsfrMj7FA0g2BDJVFLfrEEJGitd6NPbtp2IJUDTNcuwPLN17dvWv4Y/x7MDMp+SzM2e+OCx44XAbMnJmU3CXQfiJSSUS6iMhorFXf0xj9NxXre95ZVd9V610MTtwoxKU8Wy6u5Ceq+r6qtmlTvn4gYzYQTsRY9gYDvQiZ7fDCOdjPP1v39kVFo+PqB8rSqiq1S1Sqc2WFC0thZQuVsC4iF6rqUoB2CwavxXo634DNs58CQ7Yf2Ven/cIhb7RfOKSeWCnPTdj76zUCPwD2icgmEVkNfP/HoZ2ROG8QfCzPwYIbXXy+m+uu/VRyBzkgZ9ayFj7BQhGph2labCC4odIBK20IheiSsVn/wYQkR2DGVmVsfnkeWPJH+3uqhjnGvwqzkvr1wrLuvuyx0ljrrfmzkvqd7r+PiESLSCMR6SciX2PteG/AnLcrVbWxqvZV1RmqerBt2hAPZhwGC0bsA67ffHj3KlfeU6d4dJHDQbb1x3Edy2qdForJMfX1g+Sc40Ltu613jVs7dKl8xSUBggeArUtdq1xVMz4qrj0WtPkGqKeqD6h1M+GWpU+8idlF/bEynHEe1Tvf2zi93q3LBu4SkUQR6YBRro9gNlFrzLbZJSJrgVVjNn79aoTXHcxWAmvz2N8F470JjAexdyTXmiym67LZMRgCaZkMxOrfH1PVZUHOGUm50VWTm6T2wWq478IYitUwe2EG8MIJ0Mg4abGkZe8SWNDuMXJ216qPdRR4PhAbQURKi8jVIvKSiKzEdArOwIK956tqB2cvrlJVvTxtyHccS3gFwswYiX5CVaep6q13V20XKXP3RHRg8S9jiGhNBuuC9tr5dwytXqxcW++a7G9fl44tVrlnjbYx2PNog2k61FTVz1RV28wfuh9jCjXHnudnwCuHszOadlj47D2XpQ2rISItRaQTthatwkQKB2Gtz7eKyM/Aorm7f440gRlwLDsm4Avk7Iy0GevCci4WMPKH75rsb1+XwXywLOC6QHPIxCb9q2M2YUiocg9WPva+O2cVLGCRDKwaWX/AxeGOcTxRyEA4OXEboXt0X471Eh+BZX29mcnKGEX9a2CERqBs3Gb+0PEzmiavBx7yqOe6KImKwWrqRwLPtZk/9KhwSanYYmuxNigh6zS3Hdm7W0Sq+jg3BYbLnM/DJp9p5GGCAzi7ROUuhKEaVytarmKDUme8v3zf+hTMWTvPZS7KY5Qo33/lMYMsAWNDbMcYHt5/v2IRyRcwo+9yLAOyIlM9Y7FJIGSN3OgNC2o3FbkTGK+qORTxVfV7EfkN6Iotet4sbTesh+0QtdIPL1pxLLpcB1v8vHgaE+t5IoShUh6IIEMjZ6hyT5AYUzQwcuPV3X+oMvHNiBXu/+F4F8vcBkIU8PbMpOSvW88fdgAL8rTGqIH7sXH8FnC3i/YHRdu0IVnTElNuwIyAezFjCOA77B38rG3akKMed/GYIgsJQMf1x5ydq4q2F4nXAIJABcDHwEIReUJNJDUsm8iLKQmpMVWLlusAgQOZ3u8uLXd+tSnbFnfDDOTyItKCwGP4NMxRPxdzMnzHsff/12GMpL+wvvN3YvPQB5WKlClNaCORLE82ty0f2XGzDP8L+D4Ao+Bh4DsRmeIN3qnqeBH5P6x11sVeRpAcaxW13gX+or1/G7HWUJ9ghsr1IZydUNnto6hQNPNOLIMZCGcB4/9of09i9cmv/+uzl7OS+tXFGCjBUBN4WUSud//vXZPrYY7b10B3H9ZNULRNG/LDtMSUC4GHstVze7RElcKyTO8Dz7RNG3I0YKSqOrlJ/xUYqyEoMj1ZmX3XjCnZ/mjHsOOGd7E16AnH2ol4x3qlal1FmHEfHxUX37pc451f/DX3NkxEraILkgVbl4tjrLf/I+cY/gsrW1zmrnk75og8CGRvObJrhKq+KjnFWnNh+b610kmkLzBWVTf5/qaqfzmbbChOc0JNob4jsENE2qmqbylkUP0DMQHoG4BZqvpuiEsKVV7lRRRWWx8sYfgA1qLu727Z/d/CE1gWPBgexEpsZmEMEe9YLgLMxuzPFA2gK+OPy9OGDJ6emLIM6OVRvdSVfq7B2DSvX5425Oi6Xjym6JJILv63A5uyRaSMmhbQcYGq/ugCJNXUuofsIXDwOiBqFq9wM4ROLjY6pcaZZWKLP74788BbmA+R4NasQOtyeSx41hITNPa1rbdj7+tMLIBwBHPubwO+rlrk1CUEZvvkwPDfJl3UVoZeC0wJYF+9hTGXmqjqQjCBVBF5EXhMRMapCaR6cQmW8AWfsezW6I8wX6GzC04EQkTPWo3pEGzOLAVMGll/QK1uKwbsjOR4BUVhAOHkRNj2L7syDgzAdT7AjJMekRgngdBm/tDFwE0xEt2neEx8+t7Mg28E2q5t2pBD0xJTxgS7Pi9t6YttS/8CJonIViwQMSmcAxQh3sFN7uTB6XAIVg4AHJv4Khcp23L5vvWfknvC2ow9a+/n7WqiK5HiTRF5G2g7cevKvi3LnbUjscwZFTRIOcjBrAz9Ytuq0ViEO02srd27wDd6rFVTX445Hjvcd7OxCXe8o0V7g0hNsUwZ5Jzg7sKcoTmq+k6I6w9bz2cI60tEu+v41zMRZiYlN8Am/FCI+2TzggXY32w2liHr7x8wigRt04ZkYVTfN+OiYlY/XLND/cG/fhZM/fMTjDIXNCh0KDsj67X106oBK0XkS2Ckqha4TaujBC7AIvlfkbdgYBXC1zdyRtHTimCiTveQ25H40e/zLs1Da1cseFsG6H7H8pE3vt+we2ZcVEyuOgbv2J67+7edmw/vmYUFbF4TkY+BMaq63m23Q0SexthlvhnFt7GxMhzLboIZtPO9t4kFN7ytoT7DnISuqro1xPX7Kz8HRLEYTzjBySZYNv67SI73D8f/ESIADeBR7VgxvvTPW4/sXYetyYOBFXl8twBomzZkA9AzRqI/jouK6fZZ4z7dfAOAfnidMAGERXt+2/TbgS1Pu/fkHeADPwM4v/gImC8iT/oEuQKV3QRCyDXZi9Pjy1XHxBb9g/TbMdq47+cDEZ4bjKUzUUQaZml274+3zIm9sVJLgq3JAN/vWuVtv/a5WFnTaGCCHmt1PAq4TUSaqup8MIFUEVmMiR9vVdXFbttWHGtFWwcTlkNEGmPsg10EF6zG59iR3GskGhlv/9tLGZa07F2UCJiUy/duGo09//nYWH4lzJwaFJenDZkKTI2Jin63dEyxt3Zm7J8baLublw5c80HDx77FsvBB8dHmbzKBeSKyDLOvv8nPHBMA72J22ZPkMUFHBGO5aHScVIw/5Y7dmQeuJHeQ/ndMzNf7eYdj2kaKoSLyLHDTIz+N6/1ug//bWyG+dNDr33hoZ9acXT+Nxhz/ISIyA7v/pY7p6BFr0fq2iCT5BOPfxwJ7n4rIlWpliCWB4qq61TGCy6lrcYmVD50OPK+q80Jcf0T2tUdzi0374RSMQf1MJMcrKApLGE4yOO2DRuG2KxtXvNjExg80V9VOqvpmfoMHvsjGU3pf1qEdYTYbgF8trxciwhFP1tcTty0ehWXdK2IlAatEZISI1C3gJc4F6ojIqeR9ggtFPTyKe89o+4ijlV6lqnc4eukzqjrGUc2WquqGPAYPAFBVj6pOVdXW4zYu7rTh0O7dgRZ/j+qhwb9OX7bh0O6zsEzypdhC0Rn4UUQGi0htN0kNw6fPtFtINmLZsgkiUkxEqmKtorxGTkWsrKI5lv08gAVmAkJEqjf5dkTq8r2bwk7oRWKziMCeCVTn9m9EqCzHUbSv0HCNqjZQ1f+o6pT8BA/8kanZhAge0G7B4INYWYUHcou2qarnp/SNjx7IPrIKiwpdgAkYLRCRHuK6ORQAozgmphhxORJuHIfzEWKiog+p6nmq2lxVr1fV/1PVx1X1FVX9RFVnq+pqVd2RH+NLVXer6lPbM9LPG7958YsZnqxcFyQibDm8Z/NL62a+iomszce0aLYCY0XkGxG5XUwo7R3gLLF2bV4sx2ouvQKpECBr6YyWV7Hs64tqJRC5ICZI13rclteO6sCEQs3SEU1xhWPZIUpEXq93e4qqXq6qT6vqsoIa9tl4TjnkydgZIngAVlozKdiPHtW1n22dPxgzzktiBvBCEXnP0YLzTV9XKyVYjL2XYG1XI6VYR7QmX1S2wVhVvUBVL1Mr3eqtqsNUdaSqTlbVBaq6TlXT8xA88L2Hpara+evty5utSd+wOtjj+HDT7O3f7vrhJ+BWbO58GHOclonIm2K12YoFCl8S65bixUKMCTZaRGq4Z94Ie3ZwbCxXBsa641yvQZhfYm3wHpy0bVHl8PdHJO9gHawU5N+Os4hgrTm/1OkxwDnOBnw/v8EDX2Srp/SuzPRw9vW9hGhXuDtz/1ur0tdNx8qFamKBph9FpL9YS9CC4EPgRjHtjbysyRDhWH7hvC7XqGpTVb1aVe9W1RRVfV5Vx6nq16q6QlW35DF4AJgmg6qOUbTxB5vm9tyTeSBg0vKIJ3PXc+umfpqtnhuxoHAix0palorIQyJyuqquxPTQfIN46zE2wQxMG0nIGUQvhwVAEJG7MQbFSkynJSBEpF6nxU/12J2ZHnbuyvBENFefCA26gCgMIJx8UIhowqd0bNHs8FvlCadgmf2gaJs2ZAc2YN7BjAUvdgGD46NirjqSnfmKqrbAauC/wCaj1sDHIpImIne5qF2e4IyDcVhNcya5hZOCYuOhnZFkTj2EEb05Xli4e/23ty8bu+D19d9v+uvI/r8OZ2fqgawj+w9kHRl5IPvIBbN2/FJUVbtgUdGZmNN/B6bA/gvwuojMBYoCtSRnT95lmIjUOCxi2qpSkVJpS1r2vmfORfc90716YpG7qycmYDQtwXQPchgqYkr/HURkGjY53jZn5285xNr8oapaPD4iosmJqKs/GRHROC4SHXso/FZ5RtjFqN2CweOxxWaBn9G8SESufGzNB8NU9SGM3v8YZuyeitXRrhSRd0Xk4nw6IN9hJUJlyUMwcNym7zalZx3aFsEpZ4Xb4HhAVTPe/PPbIXevGH1w6d4/Fu/LOnTkSHamZ1/WoXVZ6nngnpXv9d+RkX4EYwCdhektfK2qF2FCh7Uw5+JdLJv5ossSg43z2pjD0slRoVsNP/ea7WnNH0odfu41Pf9z5iUlikXH9cKo8msIYKiIyGki8oj7feSOzK0l9mft/TbUMywWc2TfGSUiqlopHMs+KBlT5HiW+oCNi5BrcvuFg7IxRfEnMQVxL44Ao6NEkn5O3/S2qnbE3sOxwB/YWjIC+ElEkkWkUj6v0T8YGNFY3nBo22IIH8jC1r8Tjt2Z+/98/Of3Rj3/++fp247s/u1wdobncHbGkfSsQ9OA5p9u/f4nrD67O8YO6ojVHp+H6c/8B2v1djU2pnv6HH4ZRsvujtVDN46Lilk/uUnKdVMSUp/sUqVFwovndSuLzQ9ZwL1qVPKjEEOiiLyDsaiSv9q+YqpaC9igyFbVMOQZL/4XxnJE4zhaojLzE4wKg7Bj+ealA1dhY3Sy3/nXA/eViS3ZQ1WHquqFWDeG2e73jpiA9zQRuc5nDYkYjpG0HGNA5ClBt+3I3kjEsbdiek4nFKqq07aveO//fhi55Ytty1btzjyw/4gnUw9kHd5xJDtzyGvrZ1y5av/G4lhi7hfM5t+hqldjAfEsYLKITMWc/7tcEs7rg2zF1ut9GMus1QWlav0wvtGjvZ8+5+5nbq7UkrNLVL0SE2P0YKVrOd4ll9i7XUyrblKGZrX8OX1TLsFjX2Sr58ih7Ihc9v/aOJbjP0YKUVDMadb3WyxTFRR7Mg/+1XnpW7X3Zx3ee7zOKyJjsAzW4rAbA9MSU8ok/zRu6aA6N90ULVEr2qYNCZqyElOVvhmrVVKsp+0sjHI9L9LJ2hk5k1S1kYisVtVzw2wfCwwuFVPsnlH17y1RNDou10qqjrJ4IOvIlBuWPNM+kusoKFym8Uugoar+6rKQd2IGxvdYkCZRTfuhHEZ1jMYMC2+E8wxMfK0LZpzc5o55O1BWVYdHiQy/t0az27tWbVw6ymdRyVYP0/5as+u5td923p1x8Euf66qCOYg3YYtdBYwi+4qqpi9q0edBVX3e32nM8mTz3O+z9w9u0LBk0ZiwlVHfV5n45n9V7OXvwMyk5EDCWLmwbO/6Nx9e/eE9x8tgEauTX6CqoXoW58AVpzW87ZAn45qHal6d3G7B4EBtAb3HjsNKXm7GDI0DOG0LYHReMjUikoq9Y+uBlqoaTPTPu30N4LN2FRrV6VH9siIagmqc5cm+/JpFw76K9FoKArG2XTVU9Xz3+VysC0siFkCtoao3ut9aYcr1rwBvqFElo7AM7u1YQGclVpL2m4ikYQJsclpciTlPntPuzHqlKufI8O7JPJT17G8z//h6x8/1vc6EG58tsSBFA+AQ5lA+Cnz9YLUnSqrqFLGOLDmwO3MHEjt//8B6F0YS5L29+uTXR+fhcf0jMSup33CCi1ICkK2e7FfXz2z8+ZYlwXRk8gxHo41S1aAZLF9MbtK/yBO/fDihWZlzPmxdvv6k9gsHBVLu9x67IibY2BkrZYrF1MVfA76INAvo3t+VHEss9FPVUHOIYGvWcwNr9yhVrWjFoAtGhidzc1xUbPWuywdElOEsCNw6+yvQW1XfEatf7oiN5b/cZi+q6iw3Dz6KCZ91U9Uf3THKYjZOVyyw0B8L1NfAdCKuE5Hrm5c994UHalxZukh0XI62kmvSN+154fcpr2w4tOOoropje3XG7APFgrhfAkNUddPUhNRWqjohUFJmyrbFGbWKV446q3ilcIvyPqBi+4WDTkQw+6TBkpa947DSlZBlcL8f2Lmo0+IxFwdjgOQHYmWoSRohe7X/WV3OnLxt/tR+tW65GVh589KBAROGbjwlYGtyB2yu93Y1eFsDtPENcY2XYu9uL6w0J6Sd5t7NkXVKnH7F83VvKx4VYD32rtMHs488efXCEY9Fei0FgVh3o8eBqmplPhWw0utOmNjqDap6ttu2Nma/LMLKRw+67+tjz6IT1kb1FkwY/TmsneyMOImZ0KP6Vc0vLntecTcPApDhydQJW+fv+Hzr3GaZnqyjWmRiLOwemGDkLixpOwwYO6FxaraqviymfZQDB7IOM/LPmXtvqXx16VB2j8Nr3VYMiFSovUAoDCCchJjTrO912EseFJO3Lv/s2d+/OgczUJ9XP0Gf/MAZwr1V9bewGx/bJ6wT77e9YLS/W7CsiQfIxiL773qd4zDH+AJbmMdi6rcBo8oi0hR7jqWA3TeenjSxS5UW3cRaaeXAgazDv9618rXsfVmHbtHgQoLHBS6o8SsmqNbZ77dozGh5FYvWPoZrHSemQDsAU2Ue77OPYIZbXYyiugCrw7pqUYteKVEigwmO0Y3mPNcNc1x6YEKc67BuE2Ow96s25oRcAJxZp8Rp+7pWbVKqZvFy5TM82UV+3L9l7xdbV034Yf+W1ova3LK0YtHincI8gs5VJr4ZaReAfzRmJiVPIwTN26OeAzcvffWLnRnpNTGK64f5oe/5Qkz482NVbZmHfa7FglkhBQH99imOtRC7DXs/BOvj/iIwVUMrlnuDVZ9hkfrbVLV7kO2iMeGr/wAHBfl1ZP37dpWPLxWwfdnX21fMf2HdF5vcMU+oQeyYP5OAS/znDWe0PIi1nHoW1zrOGfrPYGrod6nqHz77nIZ1PtiEGS3ZwLPzL+4zc1/moZ9LxRatEsiAUBNru6zpd8/+gBk9XbHuDkUwZfxhmBN0Afa3ahBFVMlzSzRMP6d4g0pFooqWOpidHvPH4d9Wr9y/cGF8tJ638vLb60voUpXdQJXqk18/mK+H9w/CrKR+Z2LBwKCst98PbP/u7pWjirntnlbVFQU9r4ikAH+q6tg87DMVCzSvz8M+Z2JB49uwdyYO0zd4PVQwwGf/R7ESiUTgVXXCYwG2q4Jl688F9tYqVnVSSq3br4ySqFz062z17Bz068jt6w5tHqCqH+U62HGGiEx011XbN5jr1tckLOhXGmMdjHdjrjFmu3yC/c2zfPbrjmmXZGP13S2BmpObpFzqUc9XUZIzm+gd16q6QkQS2y8cch6m4ZKEMQ7qYpTqUVhg3zuWzykXWzKjU6WkmPNKVqsIFP3j0PasubvXfPn9rjVn/KdG+xWtytXrEeb2X2q/cFDQMsZ/E5a07D0Acy6D4vE108Z9se2nhphd9Ya6rh8FQT5s5cpYUL51HvaJwd6zzligPxubp18EPlLXTjzE/lGYQGFzTFuhXohtb8KCjQDbB9S+dnZS2doBu4JsOLRzafeVIz3Z6rnmePgqoeDW3dXAk6r6vN9vxbDg5fPYmB2uJiAZjQVNugD3qNMvcfvEYuNOMfv6Z+A3VU0ec8EjnxeLjr8mxOU8dMOSQa9ivo63ZHQPxkZ8HgtanM+xsVzpwtI197ar0KTcafGlyx7MPhL3474/Nn+1fdmULUd2X/n6ef13xURFJ4R5BA26rRhQ4LUnEhQGEE5CzGnWVzBqYbC2LmOBri3nDY/BHPGeGPXoGVVdld/zisi3wLV6TJAv3PZRwA+qmi9tAzdoL8boj22xkprVWFeAacEckJsqX9z/glJndikfV7r6qXEl/oySqFnAy+0XDvJmAYphzm97LEP6MjZRpE9NSD3bo9prX9bB7qViimYK8uv7m74ruWLf+var0zdmYUZTX1Wdmp97CoXvLnokBshuPvfp/phjUTdYwMQZjkUwg6YqNtmMx1TRX8OyiferE2txQZEFWBS6MfBS6ZgiP09r2r1ebFTgRvVeg+XWJWN//zl9+/eYqOolGL0VLCu1FqNf/oTVWDfCFpdVWHBhqjfrLCINT4svNnrRZbcUjRKpGeQxTASuqzLxzeNdfnNSYmZS8unY4nNWgJ8PA9deOm/olyJSDRvvl2P02Lc1ApXnQHAR9eGqGmph89+nG1BGVfMlviMmKngtFoTy1tJ+ArygObuBHMWUhNTi72/8dsFVFS6MUahSJrb4Kqzk5p12Cwbvd8dthL0zZbHM0YPA9MlNUgCu25Gxb2CJ6CJ1ikTH7duTeWDFq+unlZi3a82FLgNxPdAx0vksUsxu1i8KiLpk3lPR2Lj4UVU7BNteRH7Cxu+9uLaIqvqDiFyGZTOewwQq1W3fFqu7fAALKjXuXr3Zn3dUS2wc6rrWH9y54+Yl727BaK0NsL/DOuzZZWOG4TKMglkFo3BWxeo5pwDf6bGODiN6125U5cHaF15H4FLHbKBT9cmvfxbyYf2LMCup361YmUmg7jlLgUsvnf/UXsxwfxgzFodjSvr5MrREZDgWQJ4SduNj+8wH2ubX6RGR8zFD+hYsYLIDe0c/0CB0+QdrXNkyRqI/aFj6zPhi0XGHi0THzcOYazOvXDBYna3wGCb8m4G1w+ynqhtHNxhQDrhvZ8be1NKxJSRGorek7f5hxzc7l7z184E/PsSCjNOwOe24GqxTE1JjgOyrFg65BKsB76SqswNt69hDd2IOWSssa/m2u58B2LrYzTfjKyLjsVLCdPff7e80uL90ubhSuVp+wrE1+a0/ZqybtG3RKmystnHn9OpKeQWdvU7CeW6bndg4nqKqv7jzl42WqDnvNei1o0RMkZZBHsPPQLP2Cwf9V5Tb/244FsIELAscCMkXzh4xTERKY6K2d2K2zguqujG/581HAKEuMEBVb8jn+eKxe7wLYygIRtd/GkgLNJYmN+kfNXbj7HGXlqtfN0aizy4fX+pnLED+WvuFgza641bAxm89zBl+HFu/smY0TU7an3U4FbiiRHT84Ww8K19eN6Pq7we31VmTviUBW89uVtMXOG6YldRPgOhW84ZlicgEbP2rFcyHEJFxmL18DWZLP4uJZdbBxvV3wONetrze+awAACAASURBVIhYCcOX2PP8P6D7uSWq//rE2V0SQzECMjxZGXetGLH+kCdjFiam2ASzqYu6fz9hY/k3jEWchHWHmY+9c19553ERubFWsar39a15Rz33bgbC0G4rBqRE9tQKjsIAwkkKF0ToiBnMF2ODfyEWBX+/xdynjmbd3eJ8BWa0pGMTxLd5XWxFZAXQKA/UxdKYo980L+cJcqw4jA74ADbIPFit4FBVXQvgehUPAx4JcAgP0L3DosHpWIQ+CnNgHvJ30kXkbEyIrLWqrhaR9pjh0MXROj/HIr+vF/S+vrvokdOxDGtXoLxHPfu//OvH6C//+nHUir0bgyosi8g1WAlDP5cd+g+mIzEKo0ReBaRi7YQmun3aYNnOKwRZ9sGFnSfULF7u8XDl4uM2Lk0fsXaOlxUxHsuWLMcmuKuwLHM1bIKdgr1bwcSdelQpWuLyea1v2isiN3OsHmsHxqoYVGXimwXKsP/TMDMpuQwW5LsTc9gOYO/miEvnDc2hzeEc8XuwTODnGGU2TwJOItIEy0Denod9+gB7VHVkXs4V5FinY3X7PbBFcRvmQI/20gOnJKSejr1PgQyqtRsO7bjy3h/eHILVE+/DMnmj/dlGYm2V2qjqOe7zRMxBnyOmGTAAEyMLGMTIC2Y363cpNpYvA2J2ZRzY/tHmBfHzd69t/OfBnQGFZd01TcHG7++AtzYyCzNaFmDB4tOxdp1eI+0j7B3ZECcxD05q0qNhqdgidYKNZa8Rc+PiUel/HtoNFrSagI3jnzCjpB0WoNqNczSAXwKtEy7rMuvJ8y76ossZda/FgpJepAGPVp/8+tdhH9q/DLOS+iVgf78OWIB3LTYfv9xq3rAczrWINMTW5JrY33h8OFaOP0TkTaxjx/d52OdHoF4wZl4ejuMVGLsHWwdiMCHjQfg4IFMTUm8E3iMwO+O1DouGvZmtni+xQNYSjHWzOsC5tmFBhVHOYJ+MBay9JVLpWNC8QOUMUxNSi2HBvO7AWaqasXjv2szJ2xb/vHjP2qBq8s42+FBVW4qVKvTA5ukvsAxvZSy4PxZ4TlWzXRb5KyBRYMQNpyf90KVqixdUCUlDXrN/4+GHfxrjfSYTsKDgcmwubIuN5YbYWJyCj6MR4LqbxEr06+Mu6DMjPjq2G1YCARbAHgf0bb9w0HENsp7sWNKydyymIXAPJlSdha1Hz104e0SO0jdnm96MreErsURdJDX/vsfIc7JNrMw1KDMvj+cviTnLD2DJjEMYu+IFr308uUn/OKzF8tUBDpGerZ4OHRcPvQhj/2Zia/pQ/6CiiFyHBQ8rujGQDHhU9SkXnPwAYzoXuMRwVlK/czHboBNQPMOTtWvC1qWxs3euuX/N/s1jgu0nIv2B9ao6VkQuxOzms7Fx/Anmd92I6Rcscvv0AioBqdESteS18+/7sUxsqZsIoy/yyvrJ+2fvXBGLjd9PMC2pFZhN7bWvi2BB0inAIj3Wac3/ul86r2StrP/UuLWW29d78t+xLk5vdVsx4L/m1BcGEP4BmNOsbxSAb9AgGEQkATNaKuGU+IO9jAH2XZXHCe4M4DVVDRbJzRccNfoGbMI+C1tEX/nggj57i8cUeTvYfh718MhPoz2/HNi8BItyrg1y/E7YszlfVfc442UecKeq/uTOPw6joibn1xD77qJHvIGKXNkGVd0nIpdf/P3wtCDXeBbmCLX3+a4MZrR0xaKh47Do726gp6rurlTklM/7nXVZyXNKVGxePCY+FpQoUaJFiQoyz63Yu/nHbss/uhgz0BKxCa0tFl32Oho/RxKQcs9yDDB/Q4e7P8AcxAxgZZWJbx5vgbF/HGYmJUcDnkvnDQ35LEWkCEZDfAALHD4TCZXY7XsZcKWqBmMwBdpnELBMVT+NdJ8Ij1sTqz28FWOwpEUhT0xo3G+wBKi/9+L3A9u056qRGVgwdLAGqRsVExLdq6pXus8NsCxHS1VVNx+OwgyBgN0JIsHsZv16Y3NGIMwCrmo5d1iwa3wKmKuqk3y+a4g5oudi/aN3A0OwAOl7QMVGpc9c0Kdmu02lY4omRkkUghIX5SE+OptgvseoP+f3f+uPeUMw9pDX0WhETkcjovZ9zombDly2vl2PYhhtemv1ya8XOBjzT4fLeEW1mjcs7Noqpt3RC8tavwGMCpbJD7Dvx8DAvDgseV3HIzxmDMZYeQhbIw4B7w86++bPLihdYxYBWoJ7g1qvrZ+uU/5asgUTP54T5PjVsKxfD1Wd5r57EVisqmPcujIQc5pvyi87a2pCainMoc9FA3bzxd1XLhgcMIjqruEnVa3j810cVvrxIBaAfxm4Dgu43amqv5aMKdrntirNr29+6jl1SscWO8XOZRkPDeJ87MpI3991+Yv1MX2Yutg4vgorR/qSMI5GgGu/D0gYVf+B7uXiStXD/l6r2y8cdDxaef6jsaRl72jAc+HsEeHWZG+i7iGsC4KXHRSJXVQKm3sTI70ul9i6WFUDJczyDTGtjzuw4ElF7L19ekKj5AuiJKpPsP0OZh/Re1a+lr0n68AkbJwGDDqJyJPAHapaxX0ugVH1E5zdWwkLir1RkITFrKR+rTF2RK6SZFVdLyItWs0b9mfuPY+WbDZS1RSf76ph9lY7bA2ejTGvZmACtdk1i522PLX21VsrxJduFR8VI6qQ4REOZ0fhCTKW5+9ePWnE7591wpKal2Dj+BKMdfAFpjcTEbPFsUq+AVLfrvf4z1gZZDqwstuKAcejlWeeUBhA+JfCOaC9MWGjV7DsXa564BlNkwV7mS+fum35XVdWaPAw8FGb+UPDGjgicgHwsKrecnyvPsc5ymIOyF0v1r276hnFTgsZ7tuRsW/mHctfDFkzJiJDMIpmNT/a8O2qepP7HI1FWE/D+qrnqW3jdxc9IhhduH6IzbYANS7+fngux9oZbCu8hqAzXk7BshxnYNHkKzBDzgNUrVzklF2v1rupfLm4EgEyQUpMlIfoAE/vx31bvrx92Ye7MUdjIWacTI/U0Qhw7cU5Zgwuys8xCmFwRksHzGjZgdXZBnSEpyWmlAJu/iV9y9U7M/aXbFq2djIwN0wLOO95XgE+VdUT0r3Avb8XAKl1SlRu+/S5XYsFo/55v99yeNc1d694bWKYY/4JfK6qD/p8Px6r3f7afT4To0EPVtVP8nrts5v1a4IxBYJeK/BUy7nD+gW5zq5AJVUd6j7HYIZbZYwGeiP2bDZj803RjhUbH+pRvXVAoa8o8VA8JitHQNB7HQ+t+nzE3F2/N8ZEtLyOxsJIHY0A134ZJhbXKlJmWiECwxnu92LZzE8wTYyAJWzTElPOA274Zseq2+uWrDL6tPjSr7ZNGxKWieTGxCrNA1U6r3DBzZuAXj1rXFn3svINApV0HMWBrCM7lu77vcLQXz8LauCKSAcsg3ajl97smExfYdosme67blgQ/RpV3ZzXa5+akOrtohAMHqDulQsGBxS/FZHvsbKo7e5zCWwcV8aYSR2xQOluoGZ8VMy+YefcUrJOicrFAp5MCeh47Ms8+NOty57/BrPN1mLjeKqqbojsTnNdt2AJh1mq+lZ+jlGIY/BJ1FXGAsufB5pjpyemxAId9mQeaLtoz++t25Q/vw8w6fK0IWFZNCLSBajiXTdOBFyQ+JGiUXE3v9ug56lFo0M3b9h2ZM9zd614uXeYY36BiRfW8/nuIaCIqg5yn0tiJUPLgEcjCcL4YlZSv9JYcC1Uq8k5reYNaxnkGusAT6l1XvDaWeWwv2ctLIF5CabrUgw4rUGparsH1bm+YpHouFwlfR6F9KxosjX3WJ65Y9no1//4oiyWDP0GG8vfBPLHIoGIVAemYgzqLfk5xvFCYQDhXw6xeqX7sXrgcZjA0U6AGU2Tz8AM6wv8dtsDdG8zf2hIY1tELsHowfcd7+v2x+Qm/SsDG4M5HV541JN+zeKhdTGKlf+/LJdl+AITSjpal+4W2G8x6vcPPt/9BzMKOnqfWyT47qJHWnCsxU4odG4+9+mPMYeiCseMkcpY7dqP2MQmmFGyye9fBYxyVuzN+reeW7fk6cVzneEoLIPpfXzeZ9l31ZR3Z+749S1Muf+4aBOIyDkYHa6FqgZVAi9E5BCRZlj5zqlYZn6ylx0zLTGlK5b9KuG323zg+rZpQ0Ia2yLyPsZyOKECogCTm6QMEJGQIlYAuzLS3+66/MUnCDCWHTXydCz7P1pVh3n3E5HzsEzvRT4BwrLYXPcFdp8RL3yzm/V7D2ODhMJuoPIl856KIecYrozNr4kYk6oEph+wFRu/G91/d2KlW+1qFa+47cW6XS/2F1nzRWxUNsVicg7VjYd27+u0+J2+ik5VvxZwBYGIDABKqmrQ7FQhIoeYRk9XLJjwPfCsOuHiaYkpJbAWYdf57ZaFtQx7IlRAUEwL53u1Nm8nHFOapGyKiqD94/Tty1u/uG7qTwQeyyomwngrNmaPZjZF5FlgtW+m0gW1RmAsw0jaMwMwNSG1DBakKxJm05euWjjkP1gwz38s34CVERTBsvgHyL0mx2Dsn3MerNG21BWnXRBQ+NSLLJuhcnw3YcuC70ZumDmMAjga/nBO27cYM+KEz/P/C/BL1L2KCYEfApiemNIU09Sq6rfbn8ANl6cNCSg06nPsB7Hx8Vqo7Y4HJjfp3xYLOIfEkezMJTcsHd6RwPZ1thvLa7FyjaMaTG7OWwI09SamXCD9ZUyY8E7NQ8eLWUn97seYe+FQ/9L5T/2CMbK9Y7gK9je5HbOvy2ICiTvIuSZvwQTEr4mLitn3/gX/d3GZuOJBg6XZCvsyo/Edy5meLE+v1W8M3nZk9yeYVtLx6rR1JRbAaqMFLOkqCML2WyvEPxuqug141NFo7wS+FZGZF5U9++3HanecANQIsNspwIczmibvaTN/6IwQhy9DmL62oSBWZ1sWc4iC/SsLnFq1SLmKr5zfI2TwAMCDFsdaQ8YG+Bfj9q8FZImIv+BkceB7NwH6ToylgN/FerbuIfDkmePfE2d3uOiScmeHfQZfbvvxNawM4S9s4tqILTDfY9nJZ7CsQbBOE7WBmHNKVLy9bsnTi4cOsAjZKsSIHg0e7Mo4+O3X23+5I8gO+YZaKcgQYLSIXB3s+gsRORzz4GoXnOkDDBSRlz65sNf+EjFF3g2yW1Pgq2mJKY3bpg0JZYjmeyy7QFtxAozbQP+6V7+sZvsKjcIed/X+DZdhQoC5xrLLGJTANBbud9kaX1QB1orILnwCiBiV/D4RWYaV1oQdy5Ob9GxXIiacz0GZ+38Y+ysWSNiCjeMNmCDpGKxUoVUw6rWjQu8Cil5Rvn6XUMEDgExPFB7NzsFCKBVbtJtHPSG79+QTTwJfisi1qvo/I5p4oqCmA/KamL5BR+A9EdkUTdTTUxL6PopRXP0Rg60TR4BQGcky2DuYLzjm3SmEWY+9/z5q2KtCiZhcDOJc+GbHjwMxtlygsQxm0McDc/zWr2hsvD5AzvG6H5gnIiux8RZ2HHeo0Lh6j+ptwg7kPw5u74H9DXZyzJn4E6tbLoGt1U8HY+S4pA3/z955R0dZbW38t1MIoXeQIkpTlK6E0BX1gggCFiyoF8Wr2CtKUxEBKfZ2BQWxYkOlSJGmSEmiVBEFBEFQeu9p+/tjn4Fh8k5JCHo/nWetrAV5y7wzmXPOPs9+9rMTYuJLtixV2+fNEvT1YnDlDMfb3W3rfFqTy978bWaeyjSCQVX3u3nyAxFplVeFYRTHoeatc4dY95y7gcUiMm5graunJ5WsMR3bHAfidGDG9OS+57dNGRKqHKwEENRbJxycUijsegyUblXq3CoPVw/vubwjY19NzDjUK76OdfNHJaCkR3xdAlglIps4cWxWAn4Xa1l8iAjG8ut1/31VzSIVwj7vyPVzZmMqAn/CfgPmN9AO8074w2tj7+Ka84ACbUqfc2so8gAgViBOlEw/FcKBrCOvbjmyK99bV6rqFJdQGgR4Kh//DEQJhH8I1Nq3vCQirwFXVytUdjI5mVF/xGA1h6EIhBLAbjfQihFBwOF+fFnyDCxo3hnwsx3zH9jpO56umbWOZmfMSoiJD6mx2nxk1xH3GnOAWVg25lg5hoiUxWSRq3zlCn7HBMto9sG6DPhPjo2xmrcnsE4RXhPosZ8isQmhSheOoXh84haOGxaWwTY+F2IZjrJYNmqvC0AUMz6K4/jnfRhY36JU9X3uPYR8PVUBLFDZl3FkZue0MRUPycgkDdJ262SgquPEjIAewWq7o8gHqLl83yoipwncuy/z8INhNrjnYo7qoeoNfWM5HtuEhCL1fOO6FMfXkIOcOIZ943otVhbj+/3BgjHxT2DZ15BYdfD3BOz7PgUbyz/6E1Fi5kxtMCniCYZ+TqL4NjaW/MdmAez7eA7mCJ9JmLEcKzERkV9F4hJWYAFQQYyYPQcb1/GYkV6KHB+gGdiGqBD2eRfFFAprGxU/09fHOwSMDIwRJTM7K2PClh8+eWbtrFuRV7/Mr4ylD07t0Q34WkSWay7a/EYRHE7t9amIjAdanVei2vNYhi7UPN53WnLfV9qlDAm2uSwB+Hx9ChEhqYe1JwTby+4m55q8E5MM+6/XhfdlHp5RJC7R13XFExnZmdm/HtpWEusCMhvLqm/3P8dtNkQ9vBtEZCgW+I/lxLFZGUsWLMFkwSHHcfG4Qp5lBIFIjC1wEKvZTsTGYX1MQVQQG6dFgW5+fyNfeaNvTVbgt7OLVNxeJK5gGAvj4/lKESE9O3PVwz+O3bvxyM4rlcFjI3ne3ECtZd0I4C1HCEYlyPkAV4r0uC9RdyQ7Yxre5IEPxbB1yLPtoUNJbCzHEJrUCxzbPuPqo+Rcj3diG+nl/scSYuI6YOqJkDHk+kPbst39Z7ufNFVN9x13quT+2Bgf5H+tIzQWYyWZ+zlxfHbCYoIHMIIu5FhOiI2PSK1QIr7QOo63Mz4N8wxIxOKACpjZcLp7z1nYWE7APm8fGftrs1I1d7nzQyIuRsnMMjJw05Ednz60ctQFt8kLp+enItAPTwDTRaSjqk46BfcPiyiB8A+Dk7uM+yq59yOEIBDcRJLcunTtO+fu+jkD70mrOrZY3oLJ+gIDjl2YA3jg7w9FsnC5zX434MatR/f8vunwzhnVC1fwys4cY+9Td69ehEn/62CT0ggR2YtNdrMw8mITJmUMvIc6aXU/9TMvdNjksh3jsf6yIc3mvm3xyB6srV1INCtVfZgGMZIRc7NthGUA22C+B60xcmMWJk/PABLPLVbxGizICYn9mUd3z9668ujXO9ampuzeMAYjQ74QkR6q6lnnfZJ4ENt4pGiQ9lhR5A2qunlact9PMefykAv/noyD94rIYYJvJOphRqKZBN9ArObEYGRXJHXxbjNzPia5azP6t5nT2pSpuydWYoLWLx7JytDU3WsGYEqcC7ExcI5TDvjGcn0s/vYayz+LyCqsTnBiwOG7RORWTALZJVwt9dfNe19BTkl5IA4MrX31VRfMH+rZZ1tEpmIBUjoWQHXGMi++QGwVFrgkFo1LfAsjD0Pip/1bN288si3tlV/nnr0n4/DNWG33BBHp7LLc+QZV3S7W1/4DEWmd3yTFPxluLfxmWnLfZUDTMCRwkTk7fhxwqXVa8NpEVMaI6B8xMsuL1PsVcwL3P7YvwjU5EVvXbgYSF+1dN7NiwVI9Qs0/3+9dt+VA1pFu7rnaAA86xc032Hd/MTYugn2nnsGk92/qiX3sf3cE9UfY2Hki1HuY0qTfHGyD4tnW2IdyCcXHq6rnxk6sq8I7WNvEJliMcRm26fnUPedeoOC5RSvXdeeFRJZmZUzb/sORbUf3vjt+88K92ejTwGQRiVHVMeGuzy1U9V0xA9tQxrBR5AGqenB6ct/XVXV4uHOzNPuGhJj4memaGYywr42tE4cwdaDXmvwbAQSBRujXJWbu2h24asaOZd/fVLnNkuLxhQLLmX3vCxEhbc+azzCvkqYY+fGmiPzK8XWsoXtWrzX5iIi8AtylfuaFDq+IyFKs9PDmcAmt2c16V+LEzkCeuKZSk3tGbpjjGde6WH81lqC4FPusfZ1NZmElF7FAYuXEUo/i3THqBOxK37dt4e71mydtTcn6/cjOvljpxGS3yd8Q7vrcQFUzHbE/S0RWqOqv+Xn/SBAlEP6h8MnsQhwHoEBMbBNMurcZqxfyn7weBBaH20zn8rl89YO3YGzh+8BlqrplUlL/0lgbqRy1ASKCqs78dMvCD7D2d/8F7nWDrBK2CbkZa6OWCcSISGP3/MeKiVV1roj0F5EcWXlVXSsiFwGfiXWgeC5EwPIV5m5bM8hxsI3ah0E+h5Lu/XfHNi+zMfLiHv9aMZcxvuSdjSm1GpeoSqhADmDB7l8XDl0zuyVQF3OaHY1lcd4Rke6qujDE8+YaqnpUrJ3jFBFpo7lsSRhFWJSH8MqTLM2ujBF+u7DNamAgkqb5bLzmZJ03YIalG7C2UfcdyDySMblJv7mq+okLkn3j99j72Jt58J7NR3c3dNfer6ovO3lkQ2wT8gpwAUZcthKRfZrTyXggME5EJgeW0KjqmyKyEfhKRK7V0C73Pmf1UBjrRR448uRcLJM5DfusJ2BdU34OOLc80HXh7jXFLilbN+SLZatmPfbzxB+2pe9tgGWzFmIbmJ+AL0XkslNAIswXkQ+xVlehMmdR5A0h12QfDmenN8DUKjsxJ29/giAZaK6qvfLrodx3OAlbPy/AnM/vUdWfpjTpFwuUERGv1m+o6voZ25c9gLW6nAs8qap9RKQE0Arr7PAMRi5sE5GLsY4lh/3uscOpNP5DQN2zk+VfjhlFv+OI8HQ80D518LYpTfp9gqmxQuG1IJ9DQay//HkY8b4Uc5N/Wv1aKLrPq/GELd836lIhKbtIXMGQ9Ui/H9n946vrp5bH5rUzsEzpx5g0Pk5VR4V53rzgXqycNVVz0SI0iohQ1H1XQiJWYgoWiSvYcFfGgc3Y+riYE9fkscCjGmH3pUgg5kVwJTaW4zGVXlNV3TcpqX9tVZ0n5hcUeB2Z2Vn/nbPzh98wL6EnsNgULMZtgyn62mJr8hZXkvBTQIw8GivzeD5QheReuzMwXkQeU9eePAjGYut7qPqp7zH1o9fnUBkjW2/CFMdTse5NqQEqx8LA5ZO2LKl615khvdkBGL954fyJWxe3wBJ7szGycRxWAtheVdeHvUkuoKpbROQOjNi/QHPhI5EfiBII/1xswaO9YCAeqdFx4IztK4K1QyzOSdRbBtyrNjapXY5lJoZhm5pjk0/HtEE76xU7o8/l5ZNebVyiZukYy2JwKOto9vxdP2364Pe5zx/MPDLFBRv9gVQReVhV52C9md8TkXcxVvEgRoA0EpGfOZ7V/BGbHAdiRMYJUNWdItIW2wy9LCL3O1UHk5L6F8UCjFgosDxlz+LeLUvV/LRwXILX7u4ocH3LecP9yyuqYhmNTkCplqXqrzgj8bTCF5VpPME943c3LXnyqJO0NccCoQuBtYv3bjxj3cEdW6sVLhM0CD2alaHvbkydgZlDXYQ5gf+BBW9bMKXAIoz8SMPaRG0Pdr9IodZS5xFskvuX/oWmL39DRETIlC5QdLmqPhXseDgCIlI4Qqs9NparYuOunZoXyzF0SB38WZsydb/ucfpFZxSPL1zN9wxbj+7Z8/bGr3d/u2vlGFU9LNbu8EWnJuirqt8D34t1jViASa/LA++7wGcex2XSvzjVUBeMfDsBqjpdRLYAH4rIfao6y3dsVrM+1bAyhL0g387f9XNqq9Jn5Wj95rAY6Of3GcQCzbCMRtsisQmbrql0fsy5RSvuO7/EGamYfHS1O7e4e77rsazT9vGbU49cXKaOSog/ynd71u7alr53JNbBoRfWbnGb+8yrYZuxCe4zSgOW51Nw8TwW4P1bVd/Oh/tFcRwRjeX25RqOeWnd1Pe9jol1BcivNbkCRuB1w/qMv4URB8dUR+1TB2dVLVT2nn+VbdC8c/nGsY74JkuzdeX+jetG/TZz/NqDW74QkcmYQiZFTEI/1imDJorIGizzVxEzKXxBRLbjJ5PGTBPni8ibgeoXlyToiUnCp4nIlaq6G+DbFo/EYRv+IsCalN2/9jk9sUzXigVLBYt9e7dPHXzMYNC9n8uwsVynXtHKi5uXqpFxWfn6KUXiEtYBaa3nD9vrzj0H67DRBfjjYNbR4vN2rdrUrlz900N9zp9vSVuJdXn5FGiJqY+KYFLz58Uc7Ce6zyEN2HCypQcuG3wd9vlfqEG6gUSRJ+zH1DThzEEOftDonn5tU4Z4Glc7ku2kx7JbR5KxpFwLjPS6I5CY6Jg26KfGJWq+dkOl1t3OLFT+DN/6syfjQMaXWxftGL9l4bMuifYuFp/fgRHhP2Lr2esishgzIzzozqnpYsrZmJfXryLyAjZWc5CcqrrGJek+F5GqqvqS79iyNveXw8j4jNIFWTxu4y8vXFTmnD6x3n5B24Gb2iwY6jNR9hH5nYGOcRKTeV2lBjvOLlo2rn352nNxhGCDOc9ni+0r2mJjuQHw6+StS4p1r9LyYOG4hKAm5VuP7k2fum3Zm5hypA62l1iPJTzTgZ9FZA5mrp4GLFLVfcHuFylc0vMLbG0OWxqan4h2YfiHYkbTPmHla9mqKW1ThjYNdlzMuf1ZVV2cl2dwwfM1GJN5CAtQPg+WORPrgZoGXFU1sewFZxWpnHz3Ge3HdFvy3JX7Mw//hpUuNFVnVCYiZ2GtGPdj7SY3OJlUGvCBqn7tN7G0cT+1sZrKczES4VOvxdpt4gcDdbqe1vzmGypf0B/ogatdVtWjC3b/fHDqtu92vFS3a2qMxHTFZJZZWAZySKv5IxZjMuxOQEds0p34rzJJC7pVbvccASUJ2apHZ+5Im/v+79Mru2dchvWs3Qw8Mb/Fw0exLE/lwOfN1uzsbUcP3HTl96NaudfriU30D6lqF/eezsSypOOw+q8kbIO24vLZjgAAIABJREFUnOPBy+K8ZjZF5GlAf+t423Bsw3Qux2vcZ1eZODI6GeUS05L7CqYMCqce6NEuZYinHFZMljxfVRvl9TlE5FyMNOiABQtvYT3cPf+mInIJZgR5aY3CFRb+5/RLnqlYsNQvNy558UNMGVNMVR915wr2femHqWVexTYcdwPn+ZQTLlvQHBvHF2IE+RIsa3q+BjENc9mIz4FXZjbtvQLLiF7gO56RnfX7f9fPLHlmoTLvdT6t0XnYhgRsw/4GMOzCBcOyMLlyZ4w8SAMmfN74joKlCxR5FVMJHMOBzKObHvzx45U/H9hSEZiEec50AsYAr05r0uffBMmEpmdnrnli1Sd3L9m3fhhWl3kGJv38RFW/dO/pbmxe/RgLgupj/aLT/H7WBCozIoELbOcC3Yok1hJsDi+FmUa+u//Qqjy1mvunY1py32aYwi4oXMa9YruUIcFKZe7Bug3lybndBc+XYWO5EjYW3w9FJDtVyqfVCpX/sWR8kdEDz7qmz4M/jj1j1cE/mmBr2E0+hY+IlMbKkRpiyqJUEXkDG0v71XVTEevJ7luTkzACIwYLyh/RIN2CRORa4NF4ie0yq9mDnbH2t5V8x385uO23F9bOKtK35tUfFo1LvBb73oJ97s+0Tx38hR+R3xlbB78sV6DYlI/Ou72nBJi1qqou27cp5aGVHyVkafYOLAmRhI3Lx6Y26ZOKraktvZ43MztrSMfvhu8F7sMIhAHuWeqraoab06Zh/hG73b2rYhs23zj+TnPRISrg8+oM3Nm3RpfLW5Y++3JsgwmmaPqsXcqQPzWj+XfB9OS+Y7AxFBSq+ka71KeDthQVkWVA42CKmnAQ645yI7Z2rsbW5K+CJXDElLpfAclnFir/dNOSZ229tmLL6V2+f3pAlmZ/5u5zsW/NECsfeg77rjyBxfCLMSXUFU455CPwLsLG8mlYicAlQAd1LVs9niURm3s2zWh264iyCYVHYORiHICq7nl345L4JXu2L+hfq1M6lrQQjLh5Hxh80cJhG7F4oBOWDPwVmPBy3U7rWpQ+8w0CDOQzsrP2Pb1mzrzPN6+ojsUwmzG1xlxgyMymvWtgYzEHiZCRnXVg/q7V1wxaM+FubM6rj82jlVT1MfeeWmEKjNEYyX8+lsxczPGx/ENe/t5uP/IF8OGXSX2/wZSfVbFyko/bpw5emtt7RvS6UQLhn4kZTfsUw7641b2OZ6vqwNWfrViwe00HDWIAItYO8W7NRe2N+6L7ygkaYgHu25FIe8RqllRVB4rIU1hW7ROnXngZk1bVVdU7/K4RbFMzBNskXIEZu/VS1RwOty572IjjmZetWHbAx6D+7n9+kbjEO5866/qhNQqf5mmYk5mdtTouJja5RIH0I0Cp+bt+OdDnp8/Pwya1S7CJfQIwWVW3v9PwiYKYgVOdYJ/Dkr2rnnrh14+SMRXDY6p6bHJY0LJXhfWHdr5QPqFol8TYAgWyNTt7w+Fdy55dO6vgkr0bb1DVxSIyGpvQR2GT3C0+NlqsNGMS1s7yWxdQ1sUClyTsb5bNcXlYGtZmK5K+xnE9qtX9oV/tJmfExcQESvyWAJ2rTBx5Ksxm/taYlty3E7Z4eOL3I7sO3b/i7WcPZB150ivwFmuH+J6qXpSb13UbyeuwlnT7sADli8AMocd1BbHvTReX0fgJOEdVVUSeweale3AbDL/rimIkwr8wldJuLKBpFeL5WmFOxUWxgGAONpYX+D+niBQ7v/iZ0586+6rz4mNiPWukVXXgxQuHPvF1896lgQLXLXo9e8vRve2xsVwLM5ydAHyrqhnftnjkIiwg80yRpGdnbuux9J0RGw7vvAWr437ePyMxPbnvxWsObnm7RqHyp4mI7M04lLktfd+HfX/+sPr+zMMtseDD5xL/HNBDVS/we0//wYK+jqp6wG3eGnN8LNfCpLPHSAWNsK90bEzB5ALxZabFxRYuHnAoGyOme+8/tCraeSUXcGTgBIxM9sT7m+Ztfe/3b7tokFIzsXaIv6jquNy8tojUxTKUlwIzsbG8OFym26nx7sPWkcuAC1X1IbduLHf3fBZo6b9GiEgDTDK8DiO4JgDrVPUdj9cQTCZ9GfAkptTwGTLOBn72f04RaflIjbZfdChf7wQptroSqczsrINxMbFN92fE/wyUPZR19PDVi549AxvHHTAifwIwQVXXAnzT/NGQrVz/OLLnw+sXjzqEeckMAKb4nmlact/Eg5lHHz6cffSxMgWKxQNsPLxj65dbl/w4Yev349TKqbpjCYuZGKm+UFXfde+nEKZAGK+q/3UxVE2Oj+MkLHGxjONjeUm4ediHVqVrv3/fmZd2LBxXMDCG2QJ0bZcy5NtI7hPFcUxP7lsTi5GKeR0/kpWe/tDK92asPbT1+mBZaBFZqbksK3TjriM27spjEvoP1K81aohrPwHGqepnLqPdR62b1lXYRjwBa0X4mt81sVji7j4slj/X9xMk8VYQ22A/gG2gd2Ab9NnAN+rX8ltEYs4sVPLlNxpc2b1MQmFPA9QszZ4WKzEddx4pmAgUe3397EOfbP6uNTaWm2Gx+wRguqoeWHrhA77kWxmv+2WrZr68bl6fsRsXXYONp4H++59Zzfqcs+bAltHVCpc7P1Zi4tKzM7O2HNkz44nVn9fYeHhnc0z5sBBTEQ3GVBaN1Xm3iEgzjOzvpKrrHEHYkOPjuB7moeJP9P8SieKocFxCyW6VWq3qVL5xKfd38cckoFv71MH52tklSiD8gzGjaZ/TMWlvYE+1XcB//pUydB+2yPdWP5fPacl9qwKdxm9OfbhVqdoDyyYUez9MizjfxrQ7xiIuxgKUryPNgIn12/0EaKJWV/8pMMAvs7EAC5bHAINUdXbA9QWBERgxsB1opEFaqvld8wWW7TzCcQa1BH4y6YmN+3UDXtQQ3gNHstJf6Lp4xHxsUkvCMgwTgBmB2fx3Gj7R3X02QbE7fd/hXj+9clF6dkawIPK5hJi4BbOb3T+rS9rIatvS9z8GPO7u2wyTWNbBDDCvw1jPLn7XV8Vcre9W1W887l8MI1l8k9652GfqP+nlkFluvPz2kBtdzDOiUZWJIz2za1EEx7Tkvjdg39XAgOXbdQe3drtrxZj7MFb8RnU+FJOb9IsBLtp0eGf77/euvbhzhaQewHcdUgeH6jMfg42Fm7HF7kPgnWAkY5B7PAmkq+pgt8mfpqrJ7lhdbJw+jAU/zTTAFMrNBTOwOtE/NKfhaeDrVcG+z5dimcA2WEC0DbcJqZpY5rs36/dY5F4/KD7b/H3b19bPrIuN5ULYwjwBWBb4fZ/bvNc8sVZLQTFt24q5Q9ZMvcIrgyhWDrJiyNnXNmxU/MwC7VOHPpWNTsfUEVtVdYSIzMQIkgFYRuVm/7lPRHpgdZ4dAuc7tzGryokbkXJYltc3jnPILIsWOuvYRjfEvPfU/kOr8r191d8d05L7FsYyVNcEHEoHBnVMG/5hpma9j62Fz/rWz0lJ/UsAV87asfyWYnGJixqXqPlUx7RBIcvPxEp+rsO+H7uxtXNi4HgLcX0i9h25XE2a3AvYrapvuuMvYGvl+cAen7rA73qfsmiMu89gVZ0W5jX7YOvWVGwcX4S1Zf4eN5bnNu9VDts4BEW26rwLFjwzABvHF2NE/hfAl4Fqi2+aP1obI8mDrvFZmk2vlR/3XLz3tze8YhoRuUag0ZQmfYbM2v4Dz6ybnIaZMM7DiJEYzLfpQ6Avlmmt7ptTHIkwASNoX/W4fwI2H/sT/RlYMsI3ln8KJJCnJfetqarfuzXdCweBpHYpQ1YGOR5FEExP7puEbaoDu5T8mqXZXS9LG1YP23h3V9VjZTPjGj1eH7jkiy3zHulcocXNwLTrFg/0VNz44Ai5mzHp/VfAW/73DAcRaY+VJFzuiPwVQEOngknANtPNsM1+x8CkoZtLPsbk+lmqekaY14vD9gFXY9n4NhxX/flI/nlLL7zvOYL47fjG4x+H993dPuWtw9hY9sUGX2Ad2E4weV564QPPYMrHoFi+d/Pv/17y0YVqLTq9nn1GuQLF7vvgvDs3X5b6bMej2Rm1sM/nWuAqbD1egxmet8AInCf8rk/GWmF28hGUAfcvy4lEfw1MPeFP9G8NvG5Kk359MdIiGL4C2rUPEd/lFlEC4R+OGU37CBZUt8UYxuXAJ5csfPowHKuDfA9Y2q9ml4EtSp39CsbE+6+ku4AH26UMOaEm1i16PsfmgpjxycfqZzgUCVyg8RUwRM3PwCfvSlJX1ytWA1kWky9NwEoZDgTc5xZsMN6FDcT7VDXowigi9THDsAv8FvITZNIj695R77SCpUIa5hzIPJLVfemLL6Vr5udY5tMrC1wSuOKxmrcMr1G4cg4TGw80v2nJkws87iPYBqCxqh50/1+JZXkexjIVH2PmPNe697gA+9we9GNKT8c2XfdqBN0TXBbbf9Krik2iaUBa4dj4735qf/PXhFBWONxdZeLIHAFSFOExLblvEWzjcQ4mJ/wSSG2XMsT33e2A1SXeOymp715sXAcakqYA13VIHbze/5ci4jP0vAr7m76FZdpzlWUWKyv6ECMC00WkKXCbqt7sd04aNm/8GyisOR2bfYThXKxs6DWslWPQ0hoReRlbeN/1+11VTA3Vpn6x01s9e+71VUNtEgCmb1v+24i1U57BNlqersoiUufsIhV6jqp/413h7gf81HLecM8sk1iZxzWqeqv7fzssSHoQG7PdsLnscyzgGobVmXdX1c/97nML9re7LALSNA4r4/KN4/OxzcwxmWXhgtULisTOC/PeDgOV9h9alS/1+P80TEvuezYWXJfEVCLj2qUM2QbHyPDngNMLxhT498fn9eqJKXP8a67TsZrYfh3TBh1bb1xm6mJsTT4XK1d7R3MakIaFiAwCDujxsoMxwGhVne/+3wALaK/EsnLXq7Wg9b/HOViL31oYMXCfqn4V4jWLYJviJj5iyxFt5+FKHp6o1eG8i8rWDtrhxfe9vfuHcZ8v37dpLDDTa+5wG6d2vaq3G3JZ+XqRZIIfaj1/2HNBnvsjzHQ51f1/PKaKLIWZz7XDFJXniJnPpmLqx64+ctYRNl9gasWXPV4m8DWLY+PXN5bPwVRYxzYiU5J6P+5IxlB4t13KkJvCvV4UOTE9uW8cpmpphn2/5wNf+nwPRKQOJtV/4636vT9LiIl/H/se+2M90P26xQNPSOY4Rdn1GAG4DVuTJ2kuvW5cnJ6KkcwbnIphkarW9TvnFUwdcwD7vv4rkDAXkecxNdxjWAz+qIZQtIl1EGimqncFvKfWQJvCsQVaz27xn3MSYuJCmpD+vH/bgWu/H/cMNjaWB1E+VAKumd3s9qElCySG7MKC/Z1KN5jzfI61yxEls1S1oft/GSwBcr5YKddEbL2s4hIkXbA59nFs/Ge665pgRHFnDdMW2cXwZ3Ii0V8aK11NA9J6VLlo9RWnNVlN2PbPtG6fOnhumHMiRtRE8R+OSxY+rVgg7vmlUnP5bCvQv3hcofVYQBOIUsDYacl90y9NffpDjFm/BZMPT8Ay2T95XBcprscyjT7yIA6IDZgoPwK+xdi/UcDTmAzaH/Uxs7FOmFzwbRGZhzlD56iPVtVlIrINC7hmuN8dxMiMryYl9Y/BPA1CokhcwdiyCcXq/35k17lAvHv+OKwXra+lXgKwPzE2IdwE4EO5IL9viEk6D7rnVRGZi03Kw7DP6Ctcdwj3Hh/ENmwpIvKIqk5R1d9E5DLM0f3+QEVHINxCMdH9+DLVNbDJrn2toiWHA3Ui2FD5MulR5BKuLtqzJSiAqk4WkeXVC5X/LD07s06BmLgEj9OSga8nN+l3fse0IYc57tgchxGATcJtQoPBLYSvYZsEX51fbaxzgD/ewZRCw4F5InKeqi7yu08MNm7WYH4FAGkiMgCT+Xqx4kOwnskf+rISjgAYC4yd0bT3f4BRYb6bVE0sk4jVW17uN47jMTVCGWx+zIqVmEPuWUPej+DjGGxMfub3/6+xjeMRzMNkNDbv1VLVmWJGpRcCt4vIDZjh3R+qOkZEsrFOKJcFKgr84QKcH9zPaPceCnFcZvlwZtaBf8XHFQ/33hIxpVO+t6H7J6BdypCfMa+AHHAKgTtFpOs1FZuvxPs7VAAL9AsC94tIDWwcX4Ft5l/FMnR5yiCJlQ22x9Z6H04Yy6q6VKyzSEksu/mmiLQKINDrY+3SymIGYE+KyJ0Ymb3O470fECvBuxdb63HjOcX9DPmmea80QrR4831vqxUqU3X5vk13Aff5jeU497ylsWD8QJzEhNtw+ODZetURPvUw4sOHyRihN1BErgBuBzJEJFFVt4l5E7yNjdmRwGtqprKdsbbLMar6YqiHcYmaWe7H9yy+9ndJgvRMz85sk+BdseWPrtOS+97aLmVInmrx/8lomzIkE9vYeiovVXWFiLQoEps4cn/moacTChT3UoKcAUwb1+jxVtcveWoxVsJ3C0b+f4BtQn/3uC5SPIaRiD5CvCa2tvpjLNBfVTuLSFdMFRDYHaQ+Fv/NwL7fM0VkLKbQ9frufAg8LGaWuAHMpBxb8z5b1ub+ulhCMySqFipZEJuHmgNxbizHYzF1GSxWiAH2FYtPiGQsi7vGi/zu6N4j7nl3iMhRN67uwuLrXpgyClX93BGrLYErRaSnqi5R8365BRvLXYKpHdw9FCv1Wofr2uZI03OxNfnGP47supjw5AFYfJ1vBEJIZieKKABUNWtKkz7z6hY7vWSoeONg5tHXYiVmKTaAJmIbxkdPhjxwmfl+WPbch+qYj4H/M+7Ggt4WWHBUV0RaB9yuAcaQblXVb7HN0ipggYj0cBuTQAwABkhAtCwihTp/N6RNlmaHJRAAzi16ei+sVuzf7vl+wwb8BIygSFTVspUKlg25UfdDMGY3cNMBlom+zG0OemCZqSJ+7+lt4HQs43WniHwgIuVUdSMmr3xBzBk3YqhqtqquVtX3VPXeCS07PwgRbag8g7Ao8geq+ttz5978SxDywIeqM7cv/wqTBdcGeqpqS1UdnVfywOFGrLTFfwHzIhDGYdLqTFyg4rIiPvjGf0Vgo6oOw4KqTsAMl9U5AY7gmoFla06AiFSZtm25Z//rQFRJLLUU27x3x0wcJ2EZi30YSVFVVYv8t16384Le5ETk6JftnikWy0QdC/7dxvEXbF5NxaSeDXEqEhdoDMXkju9hn8VtbrMxFpNNTnGZyYihqodUdb6qPq+q18XHFZ8R4aWhyJEoThITG/ebfUWFpkEz7QCqem+VxDIpGBn0C6ZMu0VVvz0J8kAwuf2xjgzud6XUr4bZ4V3gBlVNwYiLBwKON8DkvyWApap6OVYj/LmIPCWm+AvEa0A3sfIn/+eKE5GkLUf3lo7kfVxUpvZr2PxyI6aUWIaRBylYoF1EVUu3LVfHU1XggWBr8iWYysFfrTUVK6kCc6Tvic0F1cGIfcyD4A73u7kiUkfN16AzcKmIBH6WYaGqv6vqF6rad0qT3p0TYuMjab+TQJBa/ihOHqp6cFS9h78r400e+FBw0+FtH2FZ5ysxc/D6qjr0ZMgDt1Ze4u7ng9eavAg43aljemGk27HuIm78V8IIuD9U9WNsc1sM+E5MPXcCHJE4BOuYFvhcpXr/OLWZOy/keygQE7sHIx9vweLb97DNfxw27zXClIwVYiUmks8qC/Nm8EKw+Lq9Iz/6YOSmv7JzOGaq2hPrVDFcRAqptYm/GSMRcrSmDwVVzVDVpao6SlVvvfvMS0OSiX7I1zU5SiBEESm6Q+gNYOG4hBIvndv9KVW9UlUna/606xuK1Xr61yXWBn72OHcsVgOcjesZPabBfW0nJPUf+0XjfrP61ezaqH/Nrv+Kl9jNYBOYqr6OkQ6NsDZRJ3Q+UGtRswHoIiJtYyVmiIjMB1Kz0a5bj+4JW2emqt99tX1pIWxymYltDP6LGcc9oKrf+QVz7wa7jx9WEaS/LcaQTg743SygjYiIWsnG+1hmqpJ7viPuddu56ydgLR27YyZt7YHnxHp05xURmbMRYSuzKPKGyU36FY2RmCvCndeyVO1KmCFpH82HPtROmtgbC5b9kWMsu4V4FVaGtByYWDK+8MDJTfrdMblJv0lvNbh7/BO1upatU/T0c3EbcJdpvxFzgx4jIi868tEfw4AHRKRmjMR0j5WYt0RkJfDuZ5u/O6RBnN39kanZk7FazTEY8QZWZtBCVV9R1w6t5bzhGzHFQDgEG+/JmIw0UI46GSP1wAzlGnKih83n2Hy2AJPNNgRmi8jZam0XR5IHEiEAkY7lSM+LIm+4JoBYywERkSdqXbtQVVur6lsaUNaXR3THOnj4d4yogPfc/QG22Rcs03njfdUuuvTbFo+88G2LR2a+XPe6m99reEvdIrEJ4lsDVXUqliXfhymLrvEn8NXKDV4HHhKRpnES0ydGZCpWuvfgmgPblkXwHg6+u2nhcozUn46V/szCNmU3qepUPV4/7dkyMwAZmBrICzk2HWo+NDGOqN+PqSXPAc72O204pt68HytbelusbEQxEuESpx7MKw5hHarC4TBm7BbFqUP3cCdUTix3Zu/q13dQ1VsdoXtS9ecuYfYaAa1Z8V6TFRsH3Zyy5aE4iXljZtNHr5jdrPfHXyY9+O1TZ11R9PpKyW3k+Jp8UK0DQRdMFTfRKaH8MR5rpX6+iFwRKzEvimsl/tW2NWcfzEz/I4Kk05dYaeww9+/qmI9IfVV90iWychNfT2gw5/kc33ex8qnq5FRFfIlbk1V1AlZ6VNU3Z6kZxK/B1BDN3fFUEblYVb/DkoqficjZ5B1/yZocLWGIIlLkaA3ohWqFy+cbUy3mWHo2xsL742xyMqRgm/MXRKTIF437bdp4eLuULlB0mrsXjUvUBBj+33p3bpuQ1L9Cp7RBWwBc1uQuMT+AF0VkPSaPrAVcUDQusW6n8udd1aH8eUeKxxcqmq16IMZMHF+avm3FeRUSSo6NCTHJvbR+ckWMIf0Ac5YPJQX8lOMOtcHQ96YlT3rVedUGNmtAOYaaF8Im935WYTLoBzAm28dc/herz3tFVT8SkRmYmV03jDltj208emmIGtUQWIm534bL9OZw4Y4iX1EOk/eFREJsfJl8IgB9GAYM15xu0GdiGfNAjMWCqgXvNbzvqxiJmYtbr8oUKEaZAsU4v0SNxtuO7t01uUm/b3zGj6o6X8xXoQemLHoO69jQEmh9VuGKlbtWbPb9+cWrJ8bFxMar6i9i3WRe+2H/+ovrFTu9vgYps9mfefjIjUte74kFPQ9oCP8Uh/6YSiDY570WawPpBa9MB1jL03HAUDUz2VuAb0WkgKqmq2qWiLyGbTweA+4Qa7c1TkQ+w/4OCkwVkfaBc0WEeBe4P8w5BwltmBrFySOiNbl8QglPB/O8QKzmtxfH2/354Lkmq+p2EfkVaDy3ea/vfjm4bXGNwuWm+I7XL1YZYOCH5/0n49sWjzRuOW/4d+66dGCEiLyHJRF6isjDWKlQ6ziJaXNpuXotr62UdPdpCSWKY2qlmSIy+ovN3689mHm0U+G4hBwJMt/Ynrxl+YG0PesHYWOphYbwZWo9f9iab5o/OgojGYLhudbzh+UwNnNS42Z4G8H5VAhvq7WUXoVlJD91x+cAT4tINTXJczL22adgWc4rgPFOYfSMx/1Dol3KkOxpyX3fI2d8FYhx7VKGZIQ5J4qTQ0RjuV6x6qUIUN+eBG7BzEEDzbjPxr6bgXgfK2l9YVbTR5duPrLnvBjz8qBgbDzNStWkWamavduVrbdkdrPeL7ZZMPQwgFopUhcR+RfwqYhMwda9xkDrCgnFy3atmDT3X2XrkBhbIDFbdXuMyDvA8wt3rUi4uFyNoN/PbFW9adHHrTEy7HWsHXUoX6YXsQ37aUGOH8LKm71wKTDVg7hZDpwlIgmO8L8PS7zVw1RNYLH0MFWdATwrIp8D/xUrNXwIU0GNF5GrNG+K7UkY4Rpu/5Wv8XVUgRBFpIi0z3DYdjGRwC28L2PtBAMnBC+JlU8S5WvV+GqVxLJ1Ase6qlKmQLFywMQJ5mHge72SmPHfIiw4+gHoc06Ryr+Ma3RvwW6VW8YXjy9UFCDGmMjuWZq9eP7ulSMnbk2bgQXlObB83/rPZu1YfpaqXu9UGSHrCG9a8mQ6pgTw2qTvBW66acmTXhsLMKY32LEvMTMf3+c0Gujlk4iqlYBMx7l/q+ouVe2BeUl8jhEJHYDhYq27ANjU6bbETZ1uO39Tp9sab+p0W9AarCoTRyrGCoea3H/E5GdRnDpEamqXp77iXhCRlhhzH2iyWhDICEJUTAdaPXnWtWcUjy88qWhcoifZXS6h+B34BfaO9a+B1TH+iG2Y04DGj9e8eu2z5/y7SHLJWsXiXKtGlxEZvvHwzj8GrZ54xoHMI995kQcHMo9kfLl12W2HstLPVdXHIiAPaDlvuK/zSo6NBVYPfVHLecNzbODde7gU6zl9AtTM7hKdogNV/R6bF57wO20scJXLmKCq8zBFQxy2+VgLvIKRCMdUGhs69qy0oWPPphs69qy9oWPPoIzo/kOrFmNGrKEweP+hVdGs5alFpGM038YyFgg/rTlLFTzXZIe3MDLwPzUKl+vudUKx+MR4YOq3LR4p7/udmx/Owmp/i2L1xaMKxRbY/0Xje3mwetu4igVLlhBDvIhcCny1M+PQioGrJy/zIgVEhPWHdvw0bfuKxqraVlXHhiIP/HA3VnoYuH5lYHNMDqNXh1aY14TXHHdsTXYYDDT1yZndRuU5TH3gky0PAbpi6qOXMMKhtZj/CQCTkvrHTkrqX29SUv/kSUn9w5UEDsdMsINhL0bgRHFq8aeOZVeK8CCmig3E2XgofJ1q5veEmLiGwITTCpYo7RVfV0os2RBTNvi/XkXMVyQNmwt+BLp1rZi08r2GtxfpVKFRYmJsgUSAGOtC8NChrPRVr6zGx942AAAgAElEQVRLvXnZ3s2eJXOZ2dlM37Z6xI/7t9ZS1TvVyrJCmjo3mPP8FswnaIXH4Y1AuwZzng+mYPIk9d049fmM+WLpb7HSS58KYYl9DNLQ/X8dFufPcueejZVNfSpmLAvA6PoDSoyuP6DJ6PoDGo6uPyCo2qx96uCDWLl1KEzA1v98Q5RAiCJSfBjBObtxZoP5gAew3q0/ehzznOAc3j4todTtGMuYI5MoIr6aqsafbV7wuJM6L3LPfSE2mJtgcqNvbqrSakSsxATKrgCIlZj4x2teqTsz9tw39Jfxw+fu/HHb1qN7Dh3IPLLtSFbGx4PXfDK1/6r3P1FnaBgpblry5M6bljzZFiureBwLUG4GKt205MlQEqzO2CThhWMyK4cFWE2sf3DwAibx9peLzsY+j1JY5vVRYFjFxCKdNnW6bTgmV/O1itq8qdNtL23qdJsnC1pl4shpGEHhFbDMBS6uMnFkUCf9KE4eHVIH78I25+EQyXgPCyexfhG4w4O5r4W1T8sBF3BPjJGYEVjgERQZ2VmPxcfE3SXmdP4zFnQXxzY75YGWVQqWrnd+ieqPS87+yKgqVRJLFxtVr+e0Gxb/98Exv30z7Yd9Gw/tTj+4/0DmkV92pR8YesvSN35987evJ+RWNtpy3vCpGDF5LTbWBmIEZZOW84Z7dnHA6sJXh5CbT8e65viwAOgoIue793MYy6ze4vcej6q1kvKZUzbFyhmmftaic8sNHXtOw7ImCzC10IoNHXteG+Kt/RsjhAI/j3RszopuOk49PiEIcR2A/BrLrYEqeJO8oQiEqTFIG/XophKA0j/u/2OomPfBXMyD5UZMoXQl5hn0TLdKTfsVjku4MNhQ7HF6q8Q7z7j40XtWjOv/xeYla347tOvwvozDuw5lpX/93qbUkd2XjP1q2d5NGyN4y8fQev6wjNbzh92NGdo9jI2hB4DTW88f1rv1/GHBNi7BlERgyYp6LlkClsn8HSvB8hGm44ELnPIDAFVdjZm0pWFlUu8BLWIkpvekpP53Yuv6MsxzYvOkpP6fTkrqX83rAdqlDFnv7uVl4rYOuLhdypCgBm9R5BsiGaNp1y0emMNYNI94Bmt3fkJCwZU1FAqx9oy9qMw5/TF/A8/4GkBVb2pU/Ix7ReRNsZaQH2Gmf59gJo3V4iRm15Wnnf+MR6khAIViCxR+te5NW3ou/fyep1bNGjt3x697tx09cHBfxpFNR7IyX79+0bjlfVZOGxdQfhEWDeY8vwpTB1yMGdU+jY3Tag3mPP+t1zWOzGxI8PawgfH1LOAoJ6qWfO2pASMe1LpCtcYUvoPd8U+alWrQanT9AW9hZWEpWBek30bXH9BvdP0BwSoHXsDKRL3a8H4AXJ+fLRwh2sYxiggxLblvPDZ4QknQH2mXMmTEyb6WiJyBSXKaaEB7Jbe5XamqtYNd37Vii7XdKl/guWD6Y+nedcsGrB7XH8sQ5MgETkvuWxML5EN6P7y/ad7G937/9kXgI/VrhyXWAnM21m4yP2pPg0KsJd27qtoqxDlLgdaqulesLd+rmBfCU44owElG31XVHJtMsbZcrxeKjVv6QdP23c4rVT6Y4uB74MLKE0Z5vueNl9+eiLUDrIPVV35ZZeLI77zOjSL/MblJv+ZY4BlsIdoLNOyQOtirtCBXEOvbXsjJ6QOPXYP5gDyR80pr8fZ6vZ4plQqWKhrudZ5dO/GFr3eueA9Y5pXt+zKp71AReTTUPTKys/S25a9P2pa+9y1MqnjMf0BE7sEMEh8Ofof8gYg8hdWYe8oNXWnXXarazf1/CLAd22w1daUNpTFSrn7g5+GCxJ7AXe1Pq7bo2QYXdkuMDdoq66Gqk14PaiJXtNBZ1TDz1dKYMeyH+w+tyhcVWhThMSmp/yiC9El3+Kxj2qArT/Z1xFoapgDXqocniojMxPyHPDfmLUvXfG9I7S7dwr3OliN7d3ZdNOpe4Bv1MIf7unnv+GzVjTHW3SEoFu76ZV/fn8e/CoxT1R/8njMW21j38P/9qYAbZyuBBmo+Q17nvIU54Ps6TP2MxT471MxhEZG7gdKq+qTH9adhSoQC95/ZsV6bMvXOCPI424HmHdMGeZIB05L7xmCkZAtMvbUAmNrOtRuM4tRiXKPHy2EEUrDvtQIdrls8cEqQ4xFDRNpgG822gYS4i71Hqmpbj0sRkQKP1rhs67/K1glp3gowacuSqS/8+tUIIMWR2idgdrPeoRSzx8qNBq6esPSbnT+/AnzmT3i4kp7hWEx7SjeyYh3J2qtfy8mA44UxQq+OqqqIXI55nV0MdFTVX93eJQ24Sj1aQIsZTY4oX6DUNw9Wu/E/pQuUCKY4+Ai4vseyAZ6k5ZQm/UphCYszsKTup+1TB58SEjDqgRBFRGiXMiRjWnLf9lhda5OAw4qxeLmuwwuEG2SvAL0CyQOHShhLHxQ1C1dcBoQlEBoUr/aTqgYaDvqjlXumkPfpVrnF0nc3zX028PdqLTBHYeZRITcv+YCQk7HDDMxx91PMGPJ0XFsaEWmm1t5tBJbBzUEgqLXlajGkXotPzitVvkgIYuV8jEkd4HWwysSRh4nMzCaKU4AOqYPnT27SrytWDxdIAm0BuuQTeVAN66YQOF/4ECpriaquHNvwnpAmcT48VP3yyXN2/LAo2HHJ2ZElB+JjYuWtBneNbp86eKLH4f9ibU7PiaR84STRkZy9wP2RCrwlIrGuHGkV1pHiE0za3FtVd4rILGxzP87/YifzfK1gbNzEPrWbrAxBHgCM2NCx52dVJ72+3uvg/kOr1mEKqSj+GtyNkcA3ehybgEfXkTyiFzDBizxwqIwpWDzRpszZc7AyuJCoULD4PlX9IMQptcKRBwDJJasf8VI8qHmE3A+8JCJtTvHGowmwJBh54OAzRZ3j/r8DU2xNFJEvVXUFVgKySERGBMZEat1lru5asfnDbcrUuzzE65TFSkJzuOGD+SFgde9ete9RnGJct3jgtnGNHr8E6152RsDhI8Ad+UQeJGBduK4M8t0Ptyanv1jnhq1Y15SQ6Fih4bzn102fE+KUoMku96wAPF6r05Q2C37K0Z5aVVNEZA0m/T/V8eQVWBbfE2o+Y79hJVc/Y8rKWzA/hDdF5BJVzRaR5zHlUg4PIVWdJiLzbqh02cIQ5AGYivdTjnulnID2pjJ9zetYfiNawhBFxGiXMmQLJn29GAuo38ckudXapQzp1y5lSH4sxlcAh1Q1R/2vQ8gJDqB64dOCyfgDEc6MJtLxEeq8VzG35JNxWI0EV2BeBaHg7xabhRlP/Y4RNiPc75cBmSLi2YZOVTOvrFLzbAhLrNy2qdNt0fnlfxQdUgd/jgX992BEwhhMln5mh9TBJ10n54jAV4GHvbIPDmHHcmZ2VqRERjhpZ47ShSDw/M66LP4DwMsSjlE8Cbh5YptHjbn/s2RhZUO+jjGrsMBlBNBKjneSeR54MNjzrmp/a9UqhYoVDbOHisGc6qP4H0THtEHpHdMG3YRJckdga/ILQOOOaYM6d0wblKvyOS84n5CrCVKWItbRY3+ozfjFZWvPgvAt2cincexVquSDqi7ACPRQJTr5gVDlCz74SH0fVmEbyNuxjUe8K4H8CCtj9MSNlS88N4LnaRuslCGKvx7XLR74A1bWdw3WcvddzGCv8nWLB47Np5fpDXyqqr8EOR52TS4enzg31HE/5NeaHOq83kBfETllbUZdOVELTNEXCv5lDOuAaqo6CyMUfMqFT7D9gGdZ5pv1noipXbRa9Qgeq2cE55xyRBUIUeQKjiSYhV9/8vyCmwSewgiKYAjWwvEYShco+tGhrKMjC8UmhOp1rxizHwppcFxKFe48zxdRzRDr1/ySiOSQjOUHxDIyBb1kUQGYD4wUc23OxgiUGlgt9HT3fNMxWVgvPAKsTZ1uK8CJraaC4TTMR2Jb5O8kij8THVIH78XIo1OBq4E9Grpjx1kE8UDwIVZinwHeDDMGZ0egmEjFXJ9DIRurS/aEqn4rIn9g7y2ciWBeEYmSCI4HK/Oxz/AsVc0UkR5Yx4VmTjb5C1bjPNPjHvUhvMIK25xG8T+MjmmDfiBni9SThh8R+ECITHooTyIAWs4bvv6j829bVbFgCc9+537jO0emMQBrgD2Ez4AGq1X24VGsvelktTaK+Qr3uV2KKYKCQlX3icgOsU4L6zACoZaqjnFlIX2wJM0rwBwRGelVooUbyxGgDuE3dlH8Rbhu8cAMbG3J9/VFRGph60swRSBYfB3SyPq0hBJDs1X/E6rzGOZzFa4LT9C4OQBBx7Jal5dXMbXrybQ0DYWWwIIIvBa+xOavZ1U1XURiHPnwKLBQRKap6hqnSr4D6/QWiBpAYgTP9D+xJkczhFH8L+Ep4DVV/SPEOWEZ0k5pg44s2/vrC2Fea0SntEEhFQiXpj69du3BrfvCBNjpGFscFKr6DSZNvCLMM+UVnYigZZqbAJcCPnXBKmzjoViW8TkRKYH5NlRzEvRAZBG6k4I/QnaciOLvCZeRHIBl7IOdEwsUCKFOAKBsQrG31x7csjVwDPrxcAfxMyYKhjG/zU7JDs/dTWyfOjicudojwBPiOhycAoQyQvXHMSNFp1YoJSKi1gLqXY4HJyMIvrE8GuT3gYiO438ursUUMbNDnBN2TQbYcnRfzyNZGZ5rhxvfs7EMXVBcuGDY0bk7V62HsGqGV0MdVNWtGHH+eKjzTgL1gLUReh/5Zy59aiKweOhyEWmgqtuxdrTBYohIx2h0LP8D4Qit17A24qHm/bBjuW3KiHWL9v4aLoF4f5sFQ0OV7nDvD+8t3JtxKJzHxkbMEyQUXseUd3XCnJdXRKIkQlV/xdbh4u5XvwJnujngLmC0i3tGA91ExIsoiHR8Rrp2n1JECYQo/ifgJPNJWGlEKHj2mw7EsLXj+7386+TfswOMmA5nHc3EWP3eYZ6nFrB6xNqJu7I1e3uQ0xS4rV3KkFCEhw+9gIEikm89uf0Q0QTn4N86ahUmmUNVfwOeBV5whMJzeGwAK08YlUVknTbSKk8YlZce81H8/8dg4GW1tk/BcAa2wIZEh9TBmUPWjL990Z61q7CWaYBtOPZlHl4PtOmQOnhJqHuIyMPjt6SMnLZ9SSgJ4q8clxkGhas5Hg30C3dubiEip2NtLTdH8By7gAPuGjCTNJ8s8gXgfBFpqaqL7dbSwOM2M4nMxT+Srh1R/M3gyOTHMBl1KES0Jt/3w4df9//5i68PZaWfoDrKzM4CG1MdW84b7pVd9z1PcSB12C9TTj+YeXRlCGL/VSKr5X8NuFBEghoynwTyuiavxhEIbqN3K1bKUADX0jFISVKwkk9/HMDMEaP456EbsElVvw5zXllsLQmJAau+uP79TQv/0ADz8f2ZR/YD17dZMDSkJ4GIXPTjgd8XPb9u+g8hlE0H3b2CzglwrLzQ52uSr+WFzgj1YiLvLudfkrSa4/H1XEzdeL8jFMbj7U/zE2ZGHA6hlJ1/GqIEQhR/ORwr9xrmLB6OkayAGb2FhKpmzdqxbOx1i4c/AbT99I/5sz79Y/4bPZa9PK5T2qChndIGBQ2cRaQrNti/2XB4R60YiTkfUxn4GxjNxFocve11D4/n+R3rzx6ulVWu4IK801Q1pITUD1MxaSWcmO0AK+koIyIdMYOWC8WvfZQfgrqy+yGHqWQUf3+ISBLWqWVkmFMjyloCbEvfO3nA6o9I3b3mLOD6kRumb35q9ScTblz84g0dUgcHlUGKSAERmYhlGa975deprTG1zjy/0/Zh5mLJ7VMHR0IE4s5vK65fez4i0vIFH6Zg7Z/Abyy7ObQH8KpTSozACMwTUHXS6xsIYsTkh62EMI+K4m+Np4HnVTVcGVrEYzltz/rnL0158WugyfRtP77x7saUT7ouGvVzy3nDb205b3jQFr4uu7gGSDiUlV6rcFxCEyxDv9XvtB8w47J7Lpg/NCwx5jYeD3IKNh7A5YTPnPqwGqjkxupa4FgNtKouxYz1HlfVtdjm4gKPe4zCNlyh8EbHtEH7InymKP4mEJFSWNwZUqknImWB7ZGU2R7OSt82ZuPc73osG90B6DJyw5xVIzfMGdn1+1efarNg6Lhg14nhCew7/fy3u1Y3EusqNB5Tt4J5c30EJLdZMHRekFudAFWdh5m4XhPJ+blAY2B5GCNUfwRTE4H9DW50hOXLwF2BXi09lg3IwkxUQyGSc/4URNs4RvGXQ0TuxaQ+QSXP7rySwBRVbRrhfWti9dOtxVqdxQBZquqZPXRBxMuYWdEDqjrK//i05L4FsTY7+9qlDNntcYtwz1MAq/u6WlXzpa2KiNwAnK2q/XNxzUIsQ5IOTFLVZn7HKmIsaivgeqCUerSP2tTptl6YV4IXnq48YVS+EiVR/O/D1fstAP7jzDhDndsL2KWq4WqefecPBX5U1XdFZCWmGLjbyQa9zj/NPUsM0EID2stNadKvNFAY2NI+dXCuZb0iciFW23hpfvmaiMjXWCu8iIwj3abqaVXtKNaicruqjvE7fg+WHb4bM128MtAnZUPHniUwhUGSx0vsAtpVnfR6tMXqPwxyvEXaBc4vJ9S5K4CGEdQI++aIFRjJeIn7OUdVLwpxTXdMVfAucKf/83zdvHcc5reTDmyLhDjwuP/7wOeqGo5Mi/R+NbFSzEvCnnz8mheB2ao6QUR+xK/9qojEY6Tn3e70gap6aeA9JiX1b4cRkF7S6KlAl45pg/4npM9R/HlwNfcp/mtDkPNaATeqaqi2sP7ndwYuVtW7HVG/FkhTVU8CQawDxJfYprxToBpidrPeRYFSwM42C4bmuu25nIK26SIyDFisqh9FeH48Nr/VxrwTrlfV2/2OJ2MJuFbYnDZdVU9IGoyuPyAGU2R193iJLODmHssG/E90MYsSCFH8pRCRSpgcJzmcmZFjKm9V1Vtycf+5GCHQFQum01Q1R32kY/+/AapiQdOKyN9F5BCRi7HSgA75sfEQkc+AQU6qHOk1jwG/O6Omn1X17IDjN2CZzf8A3wPnqUdLzU2dbkvGgppWWO/ohcCrlSeM+ibPbyiK/7cQMwutpKphPQlEZAxG7kUkqRXrTvCqql7kCISjQFOvzIAbY59jwcTVqnpK6n5F5EPgI1UN1/0kknuVA75U1XBGj/7XCPAj5mnSFvs8HvU7HoMppQZjyq3GqpqjfdSGjj0LYhLXHlhpyV6sFv2/VSe9HracIoq/F1wQvBDoHm4ddJuC71Q1YlMvERkBLMaUhHcAR1U1RxtK9/0dg5mW3hJpEJ9b+JHmSWodD072fo9gXSnClWP6X3MJNlfdJiKTManzL37H62AESlOMDLhPVZcH3sd1WbgLU0AUxswt3wA+7pg2KJy6M4q/GUSkOTb/Xxgu3hSR24HCqhqJwtQ3T/yAGXiOAQoArzjPr8Bzq2KE/kGgufP0yHe4GKSC/zp4EvcSYDnQLDdGqyLyEabA/Q34UFUvCDg+DDOCHY+pkpsH/m1G1x8gmJKhJ0a2pmP7pJd7LBtwSvYmeYKqRn+iP3/ZDyah7RLhuT2AXrm8fw/MCflurE4wx2thzsQ7MbfXwn/Ce/4EuDwf7lMYWIkjAnNxXSNgvPv3fKB0wHHBNmBXus/uzr/6exL9+d/+Aapgm9kiEZ6/ECiZy9dYgBF8S4GfgpzzJHAYUxCd6vdcGcs2FMqHe90K9M/Dda9hJUm1sSxq4PEz3TOWcn+fUn/1dyX687/9g0mdh0Z4bh3fWpKL+9fBVC/nYyTfMI9zirvv62ag+p/wnh8CBufTvRZgZYW5uSYBKwMRLEN5mcc5vTFVyKXAO3/19yT687/9A8RjpbjnRHj+C5iiLjev8TxwFWZkOA+o6XFOJ4w4eA+I/RPe82JMlXuy96qDKXRze91NLg4R4GeP4wXdM9bFSISWf/V3Ja8/0TaOUfxlEJHLMNYybAcBh9rA17l5jcKxBT85u0ilZV0rtvhlR/r+hqcllFw3Ial/Wqe0Qb+7Z+iBtUh6BXhE3Qg/xXgI+FJEZmgYF/owaAtMy8MzLwHOdSUVPtOmY5lgVVUR6QnMwUiEj8XaR0UzGFEEw0tAH41AOuiY/ZKqmqsyoHIFin/UpULyyyXiC1dIz84sMCmpf1fgi45pg9JdNuQrjK1vqarf5+VN5AaquklE3sUC+5N1c7+CCLpJeMBXc/kQfrXTPqi1cnwZGIZlIu/AMlJRRJEDLlP4b0K3evNHxP4HPqjqirrFy1UYUufCB9Yf3FO/SFyB7F/a3VW3xrRXf3DP0BhTznwPNNLQrvH5hZeANBEZqydRXigilYFsjcAI1R+qelREfsayub7a6S8DTnsGU0l+AdQRkSoaUJoVRRR+eBCLD1dGeH5tjESIGCXii7yXVKLWqCYlzordl3n4zPOK1+jwWePHxlzx3VN7AUTkWeBOzN8sZAlFfkCtbbrP1+Rk26bnxgjVH1MxNeETIrJPRIqp6jHvEVU9IiL/wcoUHsDih29P4jn/MkRLGKL4SyAihbGM/2UaUJcb4povMeneL2FPBiYk9a+AZdKTAw5lqeoTV3w/5Gy1SaKrqgYu1qcUItIXiFcPf4Fc3OM9YKSq5nryEZE3gXFYPdpWVX3L45yrMVOabcAcVQ3ZYiuKfyZE5HKsdr9LhOefBozTAGlfKExK6t9FVceKSLGAQ7/N3fnjHc+s+2IM5h6dK7nhycLP1+RKNZOzvNyjOBZA1M9twCPW1eV74FxMaXCsdtrvHMGCmpHAEGxTdjLEZRR/Q7jvyQTgdVWdEuE1jwPrVDVk73gffml3VwGMyPJyIP/w/Fmjv9ubeXQIpgZ4KsJHzxeIyEUYidc+rxsPEbkbKKiqz+Th2lsxj6X5wLWq2tPjnLOAjzGvptqqGq5DRhT/QIjImZhRYVKkc70jsM7RMJ4nPnzW+LG62HxxZsChA4ezjva8YcmIe4EaGKEfKYmRLxCRccCnqjr+JO6xCGirqjvycK3PZ2wE1tksR0JDRAZiLdEvBO74sz+j/EC0C0MUfxUeB8ZGSh44nEEErd8AJiT1j8dcypM9YoFYERl0efkmHTDJ1Z9KHjg8C1zpJvpcw21cGpP3tkyTsdZRgU6xx+AIgyxMpfCQCzCjiOIYnHfI08C9ubgsorZvPkxK6t8S+MSDPAA4vUGxM788PbHMTKDen0keAKj5KzxCLjM3AbgMmJyXTYuaN8k64BxgPTZHBp6jmJ/JIGxO9Nq8RRFFZ8yPICLywCFXYxkrubkp8Kvu/n/t47VbDgP+9WeTB+4ZZgH7Mf+AvOIKLGmRF0zB5oJQa/Iq4G1MqXCpWBemKKI4BhenvQI8nAvyoAhwKBfkQQVMJeQVvxZJiIl/r3GJWkUxT6S/YmP8MCfRNl1EqgN780IeOEzBSo2CjmVsPb4MUznkRX34lyNKIETxp0NE6gIXkYtWJCKSCKTnQkbfBZMzE2zf273KRelfNO6X1wnipOBkmY9iNWR5QRvg65MoK5iJ9bddhetVGwR3Abdh2d3WeXytKP6+eAIzQ8yNlDa3sufHgdhgB4vFF+KVOrf/8SeVH+WAqn4FpItIh7AneyOvUkkffGUMQcey+/s8g/k25GgfFcU/GyJSFAto78vlpWdjRn1h8Uu7u6phbRZzrMkigqpyecVacWva3rnV6/o/CQ8Bg128kSuItTwunlclkqr+gdVwZ2KdJYLhRaAeVmKYQ6UQxT8eV2AmntNzcc1ZRDiOHe4CygU7GCMx9K7RdbtG3v4wX6HWNv1t8t42PbctlQPhW5NXE3xNTse8j24CGjkz1/9XiHogRPGnwjkrv4a1YAvb9skPtbDBGCmuj+BZymEb8Wm5uG++QVWnisjtInKpqk7N5eVXYAYseX3tAyLiq9OsEeK8HSLSB3ioWZmKgzZ1uu17zNF9K/Be5Qmjoi3e/qEQkfoYqdQs3LkBqI3JK8NiUlL/shjRFQ7XY0qAvwoPApPl/9i78ziv5v2B46/3tKdNKVGU7JESmlGikEaMbFGWexHdXLtLNCUjNZH9h6ubulnuFcKVaZlkiaQppKzZRbaQoqKamffvj8+ZfPv2Xc53me8yvZ+PR4+rcz7nfD/Tnc855/s+n8/7LfJCLA9N3huSjrhkV/GaicvQPhX3IBjuDfJDwKkNatX+vrhTzztXFAxtivvC8jbwULuSCWkJppqMcBNu6cK3fg/w7uUN1H/lgjNwicXCna/qPwd6/Uk5Vf3aWxp4HVAU4+En4aZ0J6IUyAd+C147HdDHChG5AHhul3o71n/m0Osb1cmpvSewzvv82VZxYfvkzdIbjb97ZqBYg/qDfLQ58pnDbmh76hs3r4yxL8lyN3/mNfG17DnAKbjlu/F6G7es8DPvXCGp6jIR+Z8geUc1P+SuyZ2L1gBNcDOtpwxeVpSUcu/VxQIIJtUGA++palmMx8V6gdspye2qy1XAdBF5yW+yKO/t4VH8WRc6XjOB44DaIlIr3GyGr0+66PlFP393T26LXdoBPQJ2Xb6y/5D/Aee0nT5xmzKPpuYKCgSWR2sfZH9cUj8/Wvhsl9ZxrKorvPJN1wKxTL8+Dng+kdkTqvqV9+D4De6tR7h2+nBuv/sOaLrTzJb1GgbWqD8LuHlFwdAh7UomZER9aZM6InIwrjzgtTEe2g6IZQmi3zHaMsZ+JNtduC8ej6jq5zEcdyouIVoiZuCeCT4G9iZMYPG5w0Z8vnjNJ18c2nTPE3IkZ0TArguBd0u6jTyxYPGYrxLsi8k+N+PKHcdafnd/3Jdev/yO0Z2AtAQQVHWTiFwL3CMivsumezMBclQ17n57icjn43Ka7B2pbfG+l/17U+Xm69o22LlR0K7hkzsX3QFcO3hZUUYmK7QlDCZlvDf+VwHD4zg81gDCN0luVy1U9QvcTIJYkiH1ABZr4vXtq6ZZfYl7GAznwdwWu7QLc/09BVcD2GxfhgBvq+riOI5tgwaIG0sAACAASURBVP9x9wMu0VA0aR3HntuBASLSPoZjEl2+UGUO7t817HKkFQVD2/ZqtftjLes1DLV8oT7w8IqCoccloS8mS3jB6PtxWdJjfWsd6z3Z7+yGdN+TNxJjXhMvgNcOV3oyEW/gll5+Qvi10wCXdGu29wk5EvIRvhMwp6TbyJiXYZjsJSKH4Eqj/iuOw6vj+VpxZVjTRlXn4so6F8Rw2MnEn8ck0EzcUu2G4fKHTe5cVLtVveYlbRvs3CjM8/U/iH8ZRrWzAIJJpTuAm1V1TRzHxnqBexi2JGcKZwXwahx9SbbxwCAR2d1n+6R86fCmde2MS8IW8mFlZf8h+wBnQ/hcEsCZK/sP2T/R/pjsICKtcUkTR0RrG+LYprj1mb4i6gWLx/yCv+UOD8fal2Tzli4Mx9Vxj8pLhJqLy7qeqJm4pSSR1k5fBjSP1CXghiT0xWSPobhg9JI4jo31njwVt74/kkpcvfi08taPV3ilpv3ohyvdltCbQi+JXdXszJD35JJuI+sCI6Ocaj/ckhGzHUgwEAjuLXks0/z93G9nn/rGzenMZ1LlamLLa5JIItRALwB9cMGWNmHaFABdIeLz9bDJnYt2SEJ/ks4CCCYlvBJJrYDH4zzFPriovF+l3/6x+rOq5ExhXN8/A9YKeplyR+ACLBF5kcy+uDeOyfACbh10uLcdfh9CElkvZrLLnUCRqq6N41jfSdeqvP/bV3duqtwcaRbCCtzDU9p5FV1qi0hfH817Aa8kkAg10EJcudr1XkK8UPyM0SNWFAxtm4T+mAznTdX9O/EHjfYnhrG8V+n93727dlW0wPc9e5XeH0tC1up0FTBOROr7aJusmUTggoHtCX9PPhIX+I9mYJL6YzLfJcACVV0a64EiUgc3Zd/XElqALzZ8P+mXzet+g7Av6f7AJVhOO1X9Che8jJojSURaAM1VNeHcA6q6DjcD43vCj2U/9+QmuLwoGccCCKbaeTfgO3HR0Zgj9CJSG6gTQ0kaOfmNsTcO++Ch9yu08ukQkb01wHn9F4+JN5hRHUpwU52iJb85BPjAK9+WDDOB3Qh/gYv0xjKediaLichxQDNgWpyniOmtpYi0HL780Tse//a1UbilNsEWA70LFo/5Oc7+VIcrgfEiUi9Ku6R96fDyULwFrCb8MgYbyybQXcANCZQ+jXUs9z+97Om9Vm/6/W4gePndZlzN9FjzMFQbVf0Sd52LuLzQe7PZCdim1nucnse9lQw3jv3mhfHbzmQxEWmDW1IY7xf2vYhh9oGI1Lnmg0n/HPvJ4w+r6ushnq+/Bo4/9Y2bkzUeksFv2fQCfCZ49mkm0IDwz9d+x2hG3pMtgGBS4XpgWhyZUKu0x2Uljcp7Q38LsPe6it9PO/WN4tNxN+Jrcdlp/wK06b94TNqnPAfyAitXALd7U5vDSeabDoD5uItbuIcVv2+DMuWtkakm3oPy7bjEifFO1fVdN15EdsHNtLl52rcLxuIedE7EZUcfiZuyn1eweIyva0OqeInXnsW9wQzJm3LaC3gpiR89E6hHYmO5Ev9r1U2WEpF8oCFxTtX17rM7qeqPPtufARRWon27vfTvq3DlRP+OS/p2KdB2r9L7h+1Ven/aZwQGuQ04U0Qi5QjqA8z1lh8kzFviuRpoGmbttN2TTaB7gBHeG+94xHJProcLqr33xYbvLz/tzTE9cMvwRuAqp/QHOpz6xs3z4uxLtYihbHqyn69nAnuQ+PN1uipZRCRpKp1tthMisi9u2UJeLFOkgs5RABypqhHfTng327uBxsBFSZoanFIiMgZYq6q3hdgnwDLcv0U8eSS2sbL/kJxL33ppXm6L1p3Pbd9xKu5G8mjb6RNXe/tbA1/hljmEUw60azt9on3xqMFE5GZgg6qOS+Ac04FhqvpRlHa74WblXBdjPeuM4AVb3gDyQ2VzFpEjgKGqek6yPnPonl06VKKLerfafUX3ndoswJWEm9OuZEIlwIqCodfi8q1EMr1dyYSTk9Unk3m80qGLgALvLXs852gFPK2qPX20/QvwN+BEVf0lns9LJxE5EThPVU8Ps/8h4CFVnZesz+zefL87Dmi0+3m9d+pU2rh2g4+BRwsWj/kcoKTbyBzcfTpswlRPQcHiMTOS1SeTebwcHUNUtX8C5ygEvlHViC/VvHva08DLoZ5Ps4H3/DEhVNl0b+nfQqBTorlMqkzuXFT3318/+/kBjfeszG3WaQbuuvvk4GVFv3v7jwReiXKab4F2g5cVxVrtqtpZAMFUG+8L71xc4sRogyTSeYYBP6lq2Gz/Xlm5B4AK3BvSpLwNSDUR2QE3Lfs4Vf0maF9H4A5VPT4Zn7Wy/5DdcW9KDw7a9QdwRdvpEyd67UYTeZ3suLbTJ2ZspliTOBHZH/gvLhAYd/UPEXkP6BKp9KM3zXA6cHkyH8pTTUROBgap6jbrHEXkTuA1VU3K244VBUPPASYAwcmW3gdOblcy4dMVBUOb4K4t4aZTrge6tyuZ8E4y+mQyk4gUA2tUNVowKdI5jgLOVtUhUdoNwSXhLVDVX+P9vHQTkRnAPV5W98DtdYD3gAPiKGe7jZJuIxviEtQFBysUl+flyoLFYypKuo0swF0jw2VeewHIL8iAHE+menjPiouAft46/3jP8yhwb6SKSt5nTQemq+q98X5WunnPFs8C3YJfaHqzpA5V1ai5EvyY3LmoGy7gEpxT6CfgrMHLiuZO7lwkXptTIpzq7MHLih5LRp+SrXa6O2BqhgU9h9XGZSLuibupLWxYq27jDRWbvk4keODZH5gYbqeXI2Ey8DPwj2RFD9NBVdeLyCjc1MmzgnYnbXrVyv5DdsAFd/ZR1eAMsPWBf63sP2RN2+kTn8StrduEyzDfMKDd78CtxFb33mS4uYcPb4X73WsPrCmvrJgG3If7Qp9I8KAeUBEleLAP7nd8iKq+Hu9nZYjpwN9E5BhVfbFqoxdYzSdJFQ9WFAw9AXiE0F8mDgBeXFEwtEu7kgm/rCgY2huX5f7ooHafAH+14EHNMSevUHDTiwtw1+3l133437dxSXjzEjx91PwHInIZcBLuC876BD8v3a4AnhaRbkHXwKOA+ckIHngeAU4LcU8W3FKPjcA1BYvHlJR0GzkAF1QITKiouIRxf7PgQc3xYvfhDXFBpS64Z7HnBfoqTEkkeOCJmNjYK1FaAvxHVR9M8LPSSlW/EJFncHlNioN2n0oMpVsjmdy5qAMul0nTELt3Ap6b3Lmox+BlRUsmdy46C7gXOB8ILLH8M3B1pgYPwGYgmCRY0HNYV+Ap3FqfLX7etK581cbf+l+49NFZiZxfRMqA40NNf/TeAPwH+Ay3Dizrf6G9LxhzgOLXjrj2bdyXgMpjX7/7/j8qNx+vqqsS/YyV/YcMxc3YiOQjYP+20yeqd0wzXKS0NfAD8Ezb6ROTspTCpN/cw4cLrubwKGCrPBwf/PbNlx0btzmoz8Jx8SZcQ0QOxFVvCDcVuCNufeVfVTWTEjDFTUT2Bp4Eui3s+Y92wK4Prliw05Svys6pVD010fOvKBgquORtXaM0vbZdyYTbA447CFejui4u+eJLVUsdTPabk1e4M24sbbXE4I+KzRUfrFt56/APp8ZcgjWQiNwDzFbV0jD7h+FyfJzmN/lxphOR0cC6H06/4G6gM1DvkFlPnL9yw/qnVTWhZxyAkm4jDwaildPcDOxWsHjMD94xdXF5YfYB1gEzChaP+TLRvpjM8WL34SfjXpBtlUjvqw0/b2hUu16XAW/eG3fFAG/m7gequl+Y/TsCM4B/qeoj8X5OJvGWYiwGTqj47olNwN5ff/tz+V65l00pL6/omIzZy5M7F92Py/ESydODlxVteRaa3LmoDS6HRFPc95nnBi8r+iPRvlQnCyCYhCzoOWwP3APojmGarAO69Zg/PpZ60Vt4X6Y/DHWB895oPuF9/piaEDyo0munfXN77bTPzGN32q9hVf3aDeWbyhvWrnsncGOP+eMTurCs7D9kPnCEj6aHtp0+8a1EPstkh7mHD/8HLkniVgLehpUC/fosHBfXOBORAUBnVd2mhrmIdMEtkThLVZfFc/5MdVLrTv+5YPfDj2hdv8mWRGxrNm9Y0axOw8vyXr29JJFzrygYui/+SuktbVcyIXipkqmB5uQV1sNNbe4codkZfcuK462kgog8j5sl9GXQdsHNrOkKnBlv3qNMdOwuuzXu3rL1pxfv06lWLVfujc2VlQhMrZ2Tc02raZMTygFU0m3kbcA1PppeWrB4TEaUrTXV68Xuw3vhlqMEvpkOvCd/CXQ95vVxceUWEZHdgX+r6jbVv0RkJ2AWbtnsE/GcP1MNOuWIv1183nGjjsjdrzVeMYHVa9ata96s0Q3APTmtz4j7u4S3LGE1rlpVJBVA08HLirJ2dpZVYTCJupbwwQOARrip7/HaBVdLdSvel+r/4Wrf3lyTggcLeg5rNnb//pP6tNy/RVXwAKBh7bq1cbVsSxb0HBapUoMfLZPczmSxuYcP34EwU+oDptLmE/RGM0Yhpz2LyGG44MGAmhY8KDvymhOH733cma3rN2lXdYlSVZrVadgOeK7syGv+kuBH2Dg2wc4kcvAAYOycvMJEnv92xyXX3cILHowFOuLGco0JHqwaMDjnsSOOm3Tpvge1qgoeANTJyaF2Ts4gYMGqAYN3SfBjbCybYKMJCh7AVvfk9sBFCZw/3D25Nd4s2JoWPKj8/sm9//PPy24+Ine/XQn4Dty8WaNGuCoN/5fgR9QievCgql2k704ZzwIIJm4Leg4TXIKkaM5c0HNYtJro4WxTYsZL6PIcbgplVmaDjWIEcGCE/ccCgxP8DL9vS7YJ3pga6QRCr9cLdm4CnxFqLPcApgAnq+oHCZw745QdeU09YLKXo2XLQ1/Q2uYHyo68xs/DRjg2jk0wP5U99gYOi+fkXrby9YFTfb3gwZ1AG1xyxc3xnDuDnQqcEeE9RXsg7uo0Hr9j2aodbQde7D68Hf4C9sm+J7fFzTYcqarPJnDuTHWviEQKwl1a+f2TfmbnhuRVS/jJR9NNuDwHWcsCCCYR9YEmPtrVxV9EbivTDh21Y/sGO3erRc6WKbpeQpdZwJPZnA02HG9mgZ/gwN8S/Cg/69mWAZZUbfuwc/QmgMt/EZOpXUfVntp11C471Kq/Py6vBgAi0guXh6NAVeNex5nBTgZaRWnTEH9f+EJqVzLhc2CBj6YRS3SZGsXvWPbbbgudN7bRwKM7dW9Qt/bHVdu8ddT/xP0un5+N5ZN9+BtsE/wLNnDVgMGJBAMf9dHmD1y+KVPzVds4HtLmJhnS5qaWjWo1PViQLQEEEWmPe76+OlSpw2xX+f2Te+CSyEYzNMGP8vN8Pa2qnGO2sioMJhF/AL8SPYiwCfCVbG/aoaMElwH+KuCQ8R2HsKmy/Kdph45q+s8vn5uMSww1QVX93Gyz0a74m9bUaUHPYdJj/vh4l248DlzOtiUcq1QCw6sSKJoa7wef7b73e8KpXUe1wC1fOh9o/uBB1wLMmNp11Piz3r65ElfBo5+qroy1s1miU5LbhTMCt0423P18OfBQgp9hsoffsey3HTpvbE/geuD4x244UzZuLt+k88be/8Pqdbfgpln/ClxZk5YSBvEzRuvhZna8Ec8HFCwe82FJt5FTcNfLcMYVLB6zOp7zm6yT9HE8pM1NdYDLgEuADoN2vopKrTh8SJub7nrou+KXcBWQhqrqa7F3Nysc4LNdpBnAftyJm50dLrjzG265V1azGQgmbt6X1//6aPpkj/njo66H9IIHd+CqKhxStb1uTu2dgNH9WnX7aKe6TWpy8ABcUMaPjQkED2g7feIfuEjsiyF2rwYGtp0+scZFoE1YM4G1Ptr9x8/JpnYd1RpYiCuXFJg9uhcw6+Sdj3gQV1mlpgYPIIaxnMiHtCuZ8AquOkqo6iyvAce0K5mwLpHPMFnFzz35E3x+0dV5YwcB83BlmgWgXp3adYG/16md81H3A3bfSM0OHoD/MZpo3oe/ARNwAfxAm4CbsJLJ241jXh+3Anf9jsbXPdkLHjyLe8buULU9R2rtAzxwVLOTF9ei9uAaHDyAFI3jwcuKvgF6A++H2P0F0GfwsqK4EstnEgsgmETdBkTKALuObeuthnMcbubBNlSV9g1bN/pnpysSfVuX6X7ALR2IJmT5rFi0nT7xx7bTJx6Ly5h9A+7/p3OBtm2nT4w7Q7fJPn0WjltP9IfTUuBVn6e8F/c2LqQBu/Rq+9jBNyQy3Tcb+B2jCY/ldiUTZuAS2w3EvdkYBeS2K5nQs13JBFszvX15guj3kBF9y4qjlivTeWNb43KUhHxWbN6kYYP5917UsYYHD8DfGP0aSCiPS8HiMZsLFo+5GJdT4RpcXoVLgTYFi8cUFSweU9P/nc3WbsBl6w/nS2Ciz3NdjgsCbkNV2aNBx6YX7Dpy39i6l3UW4t7+RzMn0Q/yAgSdcDnLRgNjgAJg78HLihYlev5MYGUcTcIW9BzWFbcub4+gXSuBgT3mj/ezRpdph44qwdU0juQXYNcBb47O6PqoiVjQc9i5RF9D1bPH/PE1OVJsUmzu4cMFKMR9+Qyu8vE/4C99Fo6L+iZ7atdRbYAVhMgeHeTeQUtGXx5PX7NF2ZHXvAIcGaHJ+8BBea/ennDtaWOqzMkr3Bm33C84Cds64Iq+ZcX/9nMenTd2BO7BN5rO0mtEjc2Xs2rA4AOApURe9vuPVtMm35miLpntxIvdh58MTGbrmXzgfh9PO+b1cZ9HO8eQNjcJ8BnbPqMHe2PiNzd2i6ujWaLy+yfH46rHhbMe2Den9RnfpKhLWctmIJiE9Zg/fgmwD9AfV0f+DuB0oIPf4IEn10ebHb3Pqsn+g5vZEYoCl1jwwCRbn4XjtM/CcWOB3XAzge7BTZvt1GfhuFP9BA88hxA9eACQF19Ps8pAwr+VXAGcbMEDk2x9y4p/AI4CDsfNSLkblxisjd/ggcfvGK3RY7nVtMnv42bnhasuMQX3b2xMUh3z+rhncffk83BlBm8BjgG6+gkeeFoRPXgAcNiQNjf5uXdns5G4Km6hbABOteCBP5ZE0SRFj/njy3GDMtzA9MPvdJgaPW3Gy20wbEHPYTOBv+MCKxXAy8B9PeaPX5rO/pmarc/CcatI7GHYxrEn79Xbvys78ppuwF+9P7sCP+LWqU/Oe/V2X8lljYlV37JiBcq8P/HyG9yq8WO51bTJj68aMHgpbknBcbikiUtxOQtKW02bXOP/DUx6HPP6uA0kVknHxrEnp/UZmyq/f/IUXN6gIcD+uFkHJcA/c1qf8WUau5dVLIBgMsl84LQobX4koBRcTdZj/vhXgFfS3Q9jYrQI96auTpR2fvMpZLW8V29fjytz989098WYGM0HTvLZrsZrNW3yclwAwZhs8hPuuTlajoMFE7+5sSaWYd1KTuszKoGnvT8mTraEwWSS//PRZsKAN0dvqvaeGGPiMmjJ6FW4MqGRlOPe3BljMtdDuLdzkTwvvUYsT0FfjDFxmPjNjYpLbByNn2dwYwALIJgMMuDN0a/iss6G8zw1oHaqMduBK3DTe0OpBC4ctGT0ZynsjzEmRtJrxE+4PB7hgvafARekrkfGmDhNAKZG2H8fLhm6Mb5YAMFklAFvjh4DnAC8wJ/rtt4HLgMKBrw5OtE6y8aYajZoyehfcBngR+JKTYFb1vAM0HPQktGJrOc0xqSI9BoxA+iGS+5bVf3oO1wwP1d6jbCEY8ZkOG9pwjm4gN9b3mYFFgBnApd7MxWM8cXKOJqMNe3QUbWAnAFvjg6X+dgYkwWmdh1VFygftGS0VRwwJkvpvLEC1JVeIyyQb0wWG9LmptoAE7+5sTzdfTHZyQIIxhhjjDHGGGOMicqWMBhjjDHGGGOMMSYqCyAYY4wxxhhjjDEmKgsgGGOMMcYYY4wxJioLIBhjjDHGGGOMMSYqCyAYY4wxxhhjjDEmKgsgGGOMMcYYY4wxJioLIBhjjDHGGGOMMSYqCyCYtBOR+iJSLiK/ici96e4PgIg0FpHxIvK8iPwoIioiRTGeo5uIzPF+rnUi8rKI9IjQ/ggRmSUiv4jI7yLyiYjckPAPY0yKZOhYPlpE/i0iy0VkvYh8IyLTReSQGM7RSETuFpFvReQPEVkqIgMTbWtMpsjEsRtNKse2jWuTLWws21hOBQsgmEygwNHAYuBSEdknzf0BaAEMAeoBz8Z6sIgcBrwKNADO9f7UB14UkcNDtD8LeAVYC/wF6AfcCkic/TcmHTJxLF8MtAfuwY2rK4BWQJmIHO3zHM8AfwVuAo4H3gCmeuM2kbbGZIpMHLvRpHJs27g22cLGso3laieqmu4+GAOAiPQFSoGzVHVqmvsiAKqqIrIT8CNwk6oW+Ty+FOgCdFDVDd62xsDnwMeq2iOgbRvgI+ARVf17Un8QY9Igw8ZyK1VdFbStEfAp8J6qHhvl+H7ATIJ+FhF5HjgA2F1VK2Jta0wmyqSxG02qxraNa5ONbCzbWK5ONgPBZJLl3v92SWsvcIEDTSy61gOYVxU88M75G25WQncR2SWg7YXADrgZB8bUBJk0lleF2LYO+ADYzccpTgHWAdOCtk8BdgVy42xrTCbKmLEbTQrHto1rk41sLNtYrjYWQDCZ5DrvfxO62IlT28+fJPQ5nLrAxhDbq7Z1Cth2JLAa2M9bi1UuIqtEZIKINKnGPhpTXTJ6LItIU6Ar8L6P5gcCH6pqedD2dwL2x9PWmEyUlLEbTZaNbRvXJhvZWLaxXG0sgGAygogch1sD9QtwcIj9XURkgYj8KiKfi8iFEU53FLDZzx8RaZ/MnyPAB0CeiGwZY97Fsyq62SKgbRugIS4i+gRwLHAbLhfCrKrlFMZkAx9j+SARme+N5Q9EpFeE01XXWL4fN+tnrI+2LXABvmCrA/bH09aYjOJj7F4sIktEZLOESCosIi1FZKa4JGgfi0ifCB+XTWPbxrXJKkkYyxH3B7GxvB2qzjewxvgiIs2AfwPTgfeAESKyq6p+G9DsUdwX7J64aOorIrJAVT8Mccq3gMN8fvy30ZvE5V5gMnCfiIzFBetuBNp5+ysD2ubgEizepKq3eNvmicgm4G7gGOCFauqnMUkTbSyLSB3gf8AdQC/gdOBZEdlTVX8Occqkj2URuRk4G7hMVd/yee5Iy5mC98XS1piM4PM+/B3uPvaXMKe5H/geaIkLhD8pInvVkLFt49pkhSSN5Wj7A9lY3g5ZAMFkgvuBOsBFuOn84IIEgRea9sBUVa0ElojIh8B+QKgAwjpgqZ8PDjGNKSlU9d8i0hIYiYsCAywEbsdNK/smoPnPwN7AnKDTzMYFELpiAQSTHaKN5X2BZqr6T+/vT4jIaNy6xEkhzpfUsSwiN+LG5AhVvc/PeXHjM9Rbiebe/66Os60xmSTqfVhVnwUQkf7BB4tLeHYysKeX++c5EVkG9Md9mQmWTWPbxrXJJgmNZT/7g9hY3g7ZEgaTViJyOnAWMFhVfwSWeLuC12zdC5zjraPqhkuqsjDMaTNhCQOqeiuwEy7fQXtV7Q7sCKzHRWyrvBPicPizhGNlmP3GZAyfYznUcpwcXPbjUJI2lr2HkiKgSFWLo/5Af3oX2D/E+s2qPCbvxdnWmIwQw304kr2Bdar6dcC2d6kZY9vGtckKSRrLsbKxvB2yGQgmbUSkNTABmKiqMwBU9QsRWcO2a7bmAA8BI7y/X6yq34c5dSYsYQBAVTfiXZBEZHfgTOBBVf09oNnTwBBcPdq3A7b38/63rDr7aEyiYhjLHwHrRORy4AHgDGAv3DrHUJIylkXkBtxDyRhVvcnn+ar8D/cm5zRcjpIqf/U+c1GcbY1Juxjvw5E0An4N2vYrLogeSjaNbRvXJuMlcSzHysbydsgCCCadHsQleLk6aPvbBERLRaQFMANX7vApXB6BEhH5XlVLgk/qlUt8M9HOicjxuC82jb1NHb3oLsCsqhKNInIU8CIwWlVHe9sOxF2g3sRVXugMXA98AtwQ1N/nRaQEGOUlXSwDDsWtP5uhqq8l+rMYU818jWVV3SQip+BmFN2IK2s6D1gZ6qTJGMsi8g9gNK4e9kwRyQv6jLKAttuMZVWdLSJzgQfEVUX5FBgE5APnBNaMjqWtMRnC19j1YR0QXDWoibd9G6kc26HGtbff13i1cW2yRLLGckxsLG+fLIBg0sKronA8cISqrg/a/TbQS0QaexemDripkVXRws+9L9x9gW0CCEn0AH8mPQQY4P0B2AP40vtvAWqx9ZKgTcDRwOW4NzNf4SLDt4T4ecHNTLgRNxPhRlwk9C4g1iisMSkV41hGVZcAPbxjawGfAbdWYxcLvP/N9/4Ek6D/Dh7LAKfiMkGPxq2VXA4MUtXHQ5wvlrbGpE2sYzeKT4BGItJWVasCggfiEiBXF79jO9y4Bv/j1ca1yVhJHsvpYGM5y4iqJZw0mc2LEn4FDAaeAXbHRSnvVtV/pbNvxpjYeLNzPgHqAqOAI1U1N/JRxph089YN18YF178BxgCbq97aicg0YC1wGa560KPA3qr6U3p6bIwJxcdYjrjfGEuiaDKeqv6Ke/M/AvdwshCYReis7caYzHYe8APuoaQDLku7MSbzjQR+x43hEd5/nxuw/+/ArrhM53cBZ1rwwJiMFG0sR9tvtnM2A8EYY4wxxhhjjDFR2QwEY4wxxhhjjDHGRGUBBGOMMcYYY4wxxkRlAQRjjDHGGGOMMcZEZQEEY4wxxhhjjDHGRGUBBGOMMcYYY4wxxkRlAQRjjDHGGGOMMcZEZQEEY4wxxhhjjDHGRGUBBGOMMcYYY4wxxkRlAQRjjDHGGGOMMcZEZQEEY4wxxhhjjDHGRGUBBGOMMcYYY4wxxkRlAQRjjDHGGGOMMcZEZQEEY4wxxhhjjDHGRFU73R0wxsRvRu6IWsDxwABgR2AFMOXERWOXpLVjhd1e3gAAIABJREFUxpiYlOYV7gScB3QHFHgNeDi/rHh1OvtljIlNaV7hYbixvBuwGngceD6/rLgynf0yxvhXmldYHzgD6Ac0AN4DJueXFX+e1o5lCFHVdPfBGBOHGbkjdgZmAIeG2P0QcNGJi8aWp7RTxpiYleYVngo8CjQM2rUOGJRfVjwj9b0yxsSiNK+wLjAFOCvE7jKgIL+s+KfU9soYE6vSvMJOwExcEDCQAiPzy4qLU9+rzGJLGIzJQt7Mg3DBA3BvP8anrEPGmLiU5hXmAk+wbfAAoBHwdGle4cGp7ZUxJg53ETp4AJAHTC/NK5QU9scYE6PSvMIWwPNsGzwAEGBsaV7h+antVeaxAIIx2akv4YMHVf4+I3dEi1R0xhgTt+uIvJywLnBtivpijIlDaV5ha2BIlGbdgd4p6I4xJn6DgdZR2owszSvcrr9Db9c/vDFZbICPNvWAguruiDEmPt4ay5N8ND2tNK/QchYZk7n64y+v2BnV3RFjTEL8PF93ALbrmYEWQDAmOzVLcjtjTOrtANTy0a4uUL+a+2KMid+OPtvZPdmYzOZ3LPttVyNZAMGY7LQiye2MMam3FvjVR7ufgfXV3BdjTPy+9NnO7snGZLYvfbbbrseyBRCMyU5TfLRZhcsia4zJQPllxeXAIz6aTskvK7aSScZkrunALz7a+bl3G2PSx88YnZ9fVvxJtfckg1kAwZgsdOKiscuASVGaXXPiorGbUtEfY0zcxgHfAgSWVQ7476+A21PeK2OMb/llxb8TPdnp/fllxctT0R9jTNyeBF4L3hhwT94IDEtlhzKRBRCMyV5DgfHlWlEeuPGPis2/AueeuGjso+npljHGr/yy4m+BI1V1gcifFd5EhAqtnA8clV9W/EPaOmiM8SW/rHgyMHhzZfnawO2bKssrgLHAFWnpmDHGt/yy4s1AP2BqZUBQX0TYWLl5BXBcfllxWbr6lykk8I2HMSa7iIg0qd3wg/s7XXRnszo7NHjgyzknzf1xaetNleUHprtvxhj/RKR316Z7XD12v4GzN1eWy1XvPzL2sw0/XKqq/0l334wx/tWvVXfqVR36vXtUi47r5qxatt+kr14auK7ij11V9Y90980Y44+I7LhLvWavT+o89I4ckQajPnryirfWfL6gQiv/mu6+ZQILIBiTxUSkG3Ctqg4AqF+r7nEHNt596gW7H33n7g1afg6UnrhorJ91mcaYNBKRB4GnVHUOwE51G8/N23HvDpfukT8e+ASYl19WXJnWThpjIhKRHYA3gANVtVJEdtx3h10+PXmXbk/3atFxIW4cf5HmbhpjohCRwUBbVb0JoHHtBtd3adr++n90OHFk/Vp1vgFKvaVL2yULIBiTxUTkbuBVVX1mRu6IE1X1XhFpH9Dkd+AB4PoTF43dnI4+GmMiE5F6wDLgwNm5w3OA2yu08uJakhNYV/4z4JL8suI5aemkMSYqERkIdFXVYaV5hQcA/wa6BTRR4Fngovyy4p/T0UdjTHQi8iJw8ezc4Z8Al1Ro5ehakhNYunE1cBNw7/aY5NhyIBiTpUSkFpAPzJqRO+IEYHpQ8ACgAXA1MGVG7gjBGJOJ+gIvzM4dXgH8F7gsKHgAsCcwszSv8NiU984Y49dZwGOleYV7Aa8C3YJe1AlwCvBSaV7hDmnonzEmChHZFWisqh8D/wDuDQoeADQH7mE7TahoAQRjslcvYGFJt8JNuItYpPF8NpCXik4ZY2I2CJgKHA2cHqFdLeCe0rxCCwYak2FEpDmwO2420c24LxgEJkcNcBAwJGWdM8bE4gzgidK8whbAmChtR5fmFbZMQZ8yigUQjMleZwGPAUfh3k5GM7h6u2OMiZWINAI6AwuBC3wc0hHIrdZOGWPicRrw9Ozc4U28/47G7snGZKaBwBO45+x6UdrWxb2k265YAMGYLOStme4BvAzs4fOwDtXXI2NMnPoDz6lqJTaWjclmZ+FmErUB6vho73e8G2NSRET2An5X1ZX4H6Pb3Vi2AIIx2el44HlVLQfWRmvsWVON/THGxGcQbiYRwK8+j7GxbEwGEZE2QANV/RT/49jvvdsYkzpVSwrBxnJYFkAwJjtVLV8AmAus83HMU9XXHWNMrESkBe5t5bveJj9j9BfczCNjTOY4E3gcIL+seCWwyMcxdk82JoOIS1hyOvC0t+npCM0D+W1XY1gAwZgsIyKNceugFwGcuGjsr7gkikQoy/ox2+EFzpgMdzrwlP45cKcC0WrE37E91542JkOdCTwZ8PexUdqvB/6v+rpjjIlDZ2CFqv4MkF9W/C4wHbZ9vg74+4z8suJlKexjRrAAgjHZ52Rgum59NbuxXCsmh8r2vGbz+p+B/BMXjd2Yqg4aY3ypWjMNQH5Z8Xqg7+8Vm74L1XjN5vUPA+NS1DdjjA8isg+wTlW/rdqWX1ZcAvy9Uiu3ier/XrGpHCjILyv+NIXdNMZEt9U92fOXjRWbXwt+vhYRftr023tshwkUASTCG0tjTAYSkVnAMFV9L2j7FXk77nNQ35YHH7JHw1blLeo2/vyXzetnXrD0vuvKteJAL0mbMSYDiMhuwBOq2j1oe626UnvxbR3P/u8vmzcU5e641+vAJ7d9+twvL/38frmqjk5Pj40xoYjIjcA3qjopaHte2/rNb7tsj+NXNand4KD2DVt+ALx05lt3n/tr+e+nqOrX6emxMSaYiOQA7wGHqer6wH21JOfBs9v2/KFDw1YXdG7S7uMGtep+Nf/nDxfc8un0/hVa2S89PU4vCyAYk0VEpCUwR1W7Bm1vCpQBecA04CJVXeHtewR4SFVfSnV/jTGhicg1wCZV/b+g7X8FugG3ApNVtY+3vRnwGnCQBQONyQzemullwFGq+kvQ9nnA1bhZg++p6hPevr8DzVS1OPU9NsaEIiI9gYtV9ayg7R2BfwPdgQ+B/apmAIvIG0D/wNlH2wtbwmBMdhnA1ussq1wHPKCqa4Hdga8C9j0EnFftPTPGxCJ4zTQiUh8YBowGDgDer9qnqmuAd4AjUthHY0xkBwOfBwYPPAXASlV9i6CxjEu2OFBCrTk0xqRLYHLyQLcAw4FmwC9By4cfBc5JQd8yjgUQjMkuA/EyPVcRkba4h5UJ3lvKtUEXuHnAISLSJGW9NMaEJSL7AWtU9fugXZfhljX8wLZfOgCmAOenoIvGGH+2WTMtIrWBm4CR3qZ9cImMAVDV1cBy3BtNY0yaiUgd4Gjg+aDtRwK1VfVlQt+THwPO3h6DgRZAMCZLiMjuQI6qfhm06yZgjKpuIsQFzpvu/BRu9oIxJv0GEfSmQ0SaAxcAd3qbQj2svATkiUijau+hMSYib830CUBJ0K7zgXmq+oU3q6jSuz8HegibGWhMpuiDG7NbxqkXFLgFN8MXQj9f/wR8hlt2uF2xAIIx2SPU7IMDcBe1ad6mUF86AB4B/lqtvTPGROU9lJwK/C9oVyFwt6qu8/7eEfggsIGqVgDPAKdVdz+NMVH1BN5S1Q1VG0RkB+AqYIy3aV/goxDHPg/0FJGG1d5LY0w02wT1cffZj1T1Xe/v4Z6vp7AdBgMtgGBM9jiDPwMFVW4BhgckVQt5gVPVzwAVkb2qt4vGmCgOAT7xchoAICLtgWOByd7fc4AmgW0CPMx2+LBiTAYK9aXjKuCRqjryhL8nl+Pqy59SrT00xkTkBfEOBeYHbKsDjPL+VAkXQCgFenuzjbYbFkAwJgt4WWB/8tZGV207Crek4eWApuEucOCmTNosBGPSK1SippuBm7wvFbBtItQtVPVjoI6I7FF9XTTGRCIidYHewNyAbS1x4/uegKaR7skWDDQm/U4EZgZVNxoCzAoqtdoG+Cb4YFXdDMwE+ldrLzOMBRCMyQ6DCEjU5E2DHgdcH9SuLbAyzDmmAaeJSK1q6aExJiJv7PXDPWxUbTsYaA88G9A00pcOsGCgMel2HPCS9+Whyg3Abar6e8C2sGNZVT8AGnn5jYwx6bFVUF9EGgOX4Gb4Vm3bCfg5KEF5oIfZzhIcWwDBmAznBQtOYes106cDywPWZlUlYQsuMbOFt7Z6Me6tiTEm9Y4EFgV9wbgFuC5o3EYLIEwDBnhLHYwxqbfV8gVveeARuHxDgfYGPolwnkeAvyS9d8aYqERkR6AD8HbA5muBB4OWEEa8J6vqO0BzEWlTLR3NQPbwYUzmOwwXLPgVtkydvIGt12ZB9C8dYJmfjUmnrUq+ichxwHpVfT2oXbSHlbW4B54jq6OTxpjwvESJXYEFAZvHAiO9RKdV7RoA5UGzFII9Dpy5PZaBMyYDnAo8XRXAF5FdvG3/DGrn5/n6EeDcpPcwQ1kAwZjMF7xmumptVvBShY5Ev8C9ChwsIk2T2D9jTBQiUg+Xtf1F7+85uC8dw0M036YCQwgPYcFAY9KhACipWjMtIt2AlsDsoHb7AssjnUhVf8Hdt3tUQz+NMZFtFdQHioBxqroxqJ2f5+upwFnbSzDQAgjGZDBvzXRfYJb39yYErc0KEDVC6j3wTMNVdDDGpE5f4IWAt5Fn4UrAbVXizQss7FA14yiCl4Fu3npNY0zqbAnqe18WbmXbZUjg760luGDgdrV+2ph082YbNPISEyMi+wEHs3VAoYqf5+ufgY+BvCR3NSNZAMGYzNYLKFPVP7y/XwtMDFPeze/DysNYAjZjUm3Lmw6v3NP1uLcdwdoBK6KdzJsq/TQuH4oxJgW8XEPtgGXepn7AD6r6Rojmfu/Jc4Hu3tIIY0xqnAk8EfD3cUBhUDWGKrsA3/k450NsJzMDLYBgTGYLfNOxKy6ZYvDarCptgG+jnVBVvwA2i8g+yeqkMSY8EWkEHAQs9DZdglt3+X2I5n6/dICVgTMm1U4DnlJV9WYI3gyMCNPW11j2goHP4tZeG2NSYyBeAEFEegANVPWF4EZeedafIlRgCFQKHOXlP6nRLIBgTIby1kz3wE1VBve2sjjE2ixEpAWw2ucFDqwMnDGp1B94TlUrvazPFwK3h2l7ANHzHwCgqp/iZlHvmZxuGmOiCFwz/VfgNVX9LEzbvYBw+4JZMNCYFPGqpvyuqt94y5BuAa4L0zyWe3I5UAKcnJSOZjALIBiTuY4HnlfVchHZH+iMy9gcSixvLcFNfT7Ve4NijKlegSXfrgfuVdXfwrSNdSw/jJWBM6baeSXaGqjqpyLSELgGNwMhVNuGwOYoFRi2UNXlQAMRaZe0Dhtjwgm8J58MfKGqy8K0jeeefF78XcsOtdPdAWP8mtS5KAeX4KQZ8NWFy4oi1VauCQYBd3n/HWltFsR4gVPVdSJSBhwDPJ9QL42J0dzDhzfDBcQAlvZZOG5tOvtTnURkJ9zyondFZHdcYPCQCIf4qcAQaBqwUERuinB9MKZaTOlStC+wG/AzsOz8pUU1+XfwTP4M4l8B/FdVfwzTdj+iVGAIoSo/0ej4umdMfHTmyHq4+1J9YLmcMCbqcths5c04OA04WkTq4Gb3nhThkAOAZ/yeX1XfE5FmIrKbqn6dUGczmPif8WxM+kzqXHQeMBIInKr7GjDswmVFC0MelMW8zOoLgU64ZQwjVTU/Qvv7gOmqOjeGzzgSGKqqZyXaX2P88AIH44FzgKo1ghtwD87X9Vk4Ltxb+awlIkOBFqo6VkQewpV/ezpM2xzgfVXdP8bPeAR4SFVfSrjDxvgwpUtRT9xYDsw4/jFw0/lLix4LfVR2E5FFuDxEm3AlkQ9V1Q1h2p4LtFfVkDMUwhzTDPdcc5AFA00q6MyRtXClhC/HlSIFqMRNw79aThjzebr6Vl1EpAswWlVP8u7Pe6rqtRHavwIMVFU/SRSrjrkEaKqqxYn3ODNZAMFkvEmdi64jdNlCgI1A/oXLiualrkfVz3v42A8XNJkPXBJhehUi8jJwtqr6jhqLSE69nDrvTug0ZFyrek2bAD8As/stGhvygciYRMw9fHhj3EN3lzBNFgO9+ywcV6N+/7yHj/OBxrgEqEeEy1Xi5TK4V1X7xfgZR3do2OrS+zsNngHUAd4G3sgvK7YbvEm6KV2KjgOqftdCufL8pUX3pLBL1c5LOvyAqh4jIncD76nqpAjtbwEWq6rvN5cAtSTnsb+3P27xCTt33QisB0rzy4pXJdR5Y0LQmSMFeAQX0A9lFXB4TQsiiMh43D2yBPfc0UNVfwnTVnAzifaLIccYItK8Se0G86d2vWJsjkhT4Avghfyy4vLEf4LMYAEEk9EmdS5qj0tCFClfx6fAvhcuqzlTJ0VkFjAM2Afor6oREx6KyHJgf78XuFm5IwS4ZGPF5vH1atUJzBa7Brem865+i8baxcEkzdzDh48GbojSbHifhePCBQuzjojsBjyhqt1FZDYuCer8CO1PAnpGehsSrDSvsIWqTlQ4NUckcNcS4IL8suKwgUdjYjWlS1Ft4HPcsoVwyoF25y8tqjHToEXkRuAb4CVcDqHDvIRp4dqXANeo6kd+P6M0r7DPHxWbHqpfq+6uAZs3A/8GrswvK/4jzKHGxExnjuwHzIzSbLqcMKbGJAT0Zvm9BxyGy2GyXlXDJTRGRHbGVV3p6fczSvMKawPjNleWX1Unp3ZgnrGvceM4pqBiprIkiibTXUj039O9gN4p6EtKeCVjWgMfATcS5UtXjCVmqlwN3BsUPACXX+IOwpelMiZmcw8fngNc5KPp3+YePlyiN8saA4HHReQYYFOk4IEnplwmpXmFDYG5IhIcPADoCrxSmlcY03IIY6LIJ3LwAFx+rfNT0JeUCFgz/TQwBhgVKXjg2RP/FRgozSs8GpgVFDwAN8vjb8C00rxCe2Y3yTTER5sCnTky+Hcym/XAzT5oBAwA7ovSPtYEigCTgGuCggfgrptPleYV1ohyrXYxMpnuAJ/tDqzWXqTW6bjEaBcCc1T1qyjtY7rAzcod0Rz3EBTJqFm5I3b2e05jotgRFxSLpj3QsHq7klJn4MZyMW6daTSxPqwMxiWWDacpYbLEGxMnv/dkv+2ywcG4Kch7Arvilm+EJSI7ABt9BBkAKM0rFFzC5EiJzU8EjvPVW2P88TNGc3DLaWuKQbgyrDcCt6pqtFk9sQb1DyNyiXQB7irNK8z6CmgWQDCZ7vckt8sGg3Brsy7HVV+IJtYvHYNwmXYjqUP4dXHGxGqjz3aVuARlWU9E9sMtCeoFvKOqfior7A98GMPHXOCjzcmleYUtYjinMZH4nUZfk+7JZ+FKvt0KXO9jtl+s47grcJCPdn7GuzF+bVdj2au4cAzwJW4Jw399HBZPUD+a3b1+ZDULIJhMN9tHm0pgTnV3JBW8Mm85uFkIk8MldgkS6wVujyS3MyaiPgvHrcMlUIzm+T4Lx/mqm54FBgFP4pYD3RitsYjUwtWYXxfDZ/gZo7WIPuXcGL9KfbabVa29SBFvzfQJuCDoalUt83FYdd2TO8RwTmOi8TNGV+Hy6dQEfYB5wE24ymZ+8qbFOpbb+2yX9WM50nQpYzLBNNx0+92Dd6gqbmki0y5cVrQi1R2rJgNxSW3OIXKt+KqlCB322WGXw77fuMb3NOV15b//0ah2cOqDkNb4PacxPtwOHBmlzR2p6Eh189ZMn4p7a/lspOoo3vTlvYbtedJBj6x89ZtYPmdzZcWGOjm1mvpoamPZJMX5S4s+mtKl6Dki103/FHguRV2qbj1xX6BuwN2fwyrNK2wA7JfbbK/eH6//Llpyui1+K/99Q2O7J5vU+ydwGX+WVN4i4Pn6/+SEMX5nEGa6QcDruHvz85EaluYV7lqhlW13q9+izZEt9vddBWVDxcZNDWvV89M068eyVWEwGW9S56IDcYN9l+B9qrpARPpduKzo19T3LPlE5E1chtgXVfXRUG1m5Y7YHbe0YQBeGS1V/VxE7gAeCFU9QUQaAgXAWR0a7rzvvQcO3jfgBhHOwf0WjV2a2E9kzJ/mHj48UknWK/ssHFcjSr+JyGHAKFyC11xVDXl9Ks0rPMVr1wW2PLTNBgrzy4pDjj0R2QP3IDTgmg4nNj2mZadoby/fAg6zko4mWaZ0KdoRNxOhW/C+Sq38Nkdyjj5/aZHv6gOZTET+BawD6qvqJaHalOYV7gAU4fIWNQOo1Mq1OZLzL6Aov6x4myng3oyj3sCgOlLriCcOuXK3BrXqRosiDM0vK/5X/D+NMVvTmSOPxyUHDfW79yhwvpwwpiK1vUo+7xn4LeBH4EpVDTmrojSvsCsuZ1HfgM1LgJvyy4pDBkVFpAVu1vCgvi0773Jlh377ROnOBmDX/LLitTH+GBnFAggmK0zqXNQCt7bojNWb1h7QpPYOi2esmv/HCz+VPflHxcbJ6e5fIua4h48mf136z1Y/bFx7Hy4/QW6o6VWzcke0BxbgEjmFck+/RWOvhC3rvY7DfdnoipvZ8BiwdGa3wmm4rNJbCQgqzOy3aOyJif5sxgSbe/jwQ4FLNlWWH7V284aWTes0fOaaD/7bc/m677qqatZG5b2ZBDsB2m/RuEJ105JfUtV7w7S/GPcGKJT1wLH5ZcVlACLSGpeQcSCurNtU4KnZucN3AN4BmkTo2qn5ZcX/i+dnMiacKV2K6uF+H8/7tXx9lxxk1Sfrv37jkZUzNq3Z/FtWr9UvzSusBzR/8cd3N9z++Yw3cGPuaFX9IUTbBsBcXHb3UF4B8vPLiv/wZiZ1w+VU6It7GzoVeHl27vArgdsidGsFcGB+WXEsS5yMiUpnjmwHXAz0+/KHNfu2a9V09tm3Pdv+qQXLL9pcXvFGuvuXiNK8wmZA/f6Lbztqk5YPxJVtDJnfqzSv8Ajcy8otwZSgF21D8suKHwQQkUa4WVhnAW1xs6Ufn507/CtclYdtElQGnOuW/LJiP0mVM5oFEEzWEZGZwKW4h+yXgUN8ZFLNOHPyCnvgMrP3A2RzZcXm11YvXzN/9fKrFqz+KGRyl1m5I54F+kc677PfL770wa9e6IRL3vYy7gHltcCAxKzcEY2Ap9g6ylrlJeDUfovGZnV01GQ2EdkF+I+qHiMilwG7qGphuvsVq9K8wjrAJbhr0p4A3/7xy+bZq97+6YeNazu8+vOH21ybSvMK2+ASOYVdRlihlR8XLB5/i6Jn4aopPAk8oapfB53rCOBZYKtEiapaKSJX5JcVRytTZUxCROQG3LKFJ4BFwDmqmnUzEErzCjvgcpYMwuUjqVz665dr5vy4bNq8nz4YGuaY4bg3lmGt2PDj7UPfnbQROBmXXPExYHbgc4sXgLwN+Efw8d4Mw375ZcVZ929qsouIfKCqHUUkF/d7fWyMJcIzglcq8RrgcIB15X9snPvjO+vf/e3ro15f/dF7Idrn4Eqn7xXunKq6adiH/73wvd++7gd0xi3Tegx4N/DfqDSvcDdcfolQ1eEmA3/LLyvO/lkdWfh7YbZzIvIYcJuqvi0iNwLrVDWr1k7PySs8A3fhCVXK5QfgyL5lxR8HbpyVO6It7i1ExOSnS9d+8cWIj6ZeCsxV1bAJ6WbljpCyXz4+9/eKTRMObbbnW41q1f9s7KdPd1u69suTNlRs/DTmH8qYGHhTCuer6iEiUhc3vbBvpHwBmaY0r7A28AxueVAojwNn55cVbzWbqDSv8AZgdLjzVr2puOfz2Q+X/rj0FlVdHqUfTf733eLpuzVocdihzfact/L3n78d/fHT+3/1+089Y/yRjImZiFwObFbVB0SkL3Chqg5Id79iUZpX2AmXYK158D5V3SQip+WXFc8IOkZwgcBtcjQF+mnTbxv+8vb9Fyv6bLjlTFWmH3btgc//+M7irs32+KxN/eYfPvL1q81mrlry0NrNGx6L9WcyJlYi8g7updxmEXkKeFBVsypJeWle4ShcosRQ3gF65ZcVb5WgvDSvsA9R8iIAzF61dOH/fTH7WmBhpCSMpXmFdWb+sKS4ae2Glx3efJ95FVq54voPHzvuw3XfdFTVGlHVwpIommy0FvdGDuBOYLGITM6W6c9z8gpbAg8ROngAsDPwMF7kNMCB+Kic0qXpHhtUNWp23X6LxuoJrl71L7gvbhtOlHGDcEl1roh2vDEJ+h1vqqD3gD4OV63gb2ntVWwuIUzwwAsCDARewL11CNQl0kmrpkxe0eH4pbNXvR0xeACQX1b86/EirYAZqjoQ4CKZ+KKIdFLVd6P/GMYkZC1/5ih6HhgmIrmquiiNffLNCwQ8RojgAYAX4PxvaV7hbvllxYEBgGZECR4A7FS3ccNZudc/nV9WvD5a25PfvL0O8D0ruERVXz1eZG/c84AFEEwqVD1f/4SbjfOoiMz1WbEg7UrzCvMIHzwAVy71VmBI0PaI9+Qqx7fqsuKez2ctiNYuv6x48/EijYHvVTUfoL/cVgycDUzy81mZzgIIJmNM6lzUEOjo/fWDC5cVbQjTdA1eAEFVfxOR+4HrcMsBssH5hE5YEyhvTl7hIX3Lit8K2LbJ5/ljyZh7NLBRVav+rZ8CbhCRpqoadgnDrNwRdXGZbPsCdYFlwEP9Fo31na3W1Fwl3Ua2xZUOXA18XLB4zDZT3VRVg5J4Pg5cKSL7ZsP0Z+9LR8ikakDguslL2DaAkNSxLCI74q4p7wRsvgu4iii14+/oOLot7pq0Py650wxgxj8+GFXus4+mhlrS++pauMB1feDTri/f+XOYpmuA/WDLuL4euFVEjsmS6c9HEnq6caAmuOpIgXlL/I5jAL/jqTdQASwHUNVPRORHETlcVReGO+jF7sMFt2xxALAjbrbilGNeH5fx11JT/To2P7s5sDfunvLeB6v/G+73ser5+idV/UhE3sblOsmWAFbYe3KAc0rzCofllxUHvnT0O5ZjGfNHsXUJyPuBGd4Lz7DXxZX9hzTBBRq6Awq8BjzWdvrEjMp/EvVtpjHVbVLnokaTOhfdCXwHvOH9+WZS56LbvaBCsLV4mY49E4ETRaRN9fc2KfLibLcY8FNtYq6fk3v1rQ/BrfsCwFvy8DAum3RIs3KgyPlkAAAgAElEQVRHdAI+xuVWOA+XROZW4OtZuSMu8vPZpmYq6Tby0JJuI+cCX+MShC0H3i7pNvKUcMd4icXw3nCMBMamoq9JsCPugSyag72kbIGiTpX0vOCz3ZG4et2BsxVmAYeKyM7hDrqj4+hrcVOwR+PWfQ8G/ge8e0fH0Xv6/GxTwyzpfXXOkt5XXwl8DiwFyoDvlvS++rElva8O9cY9cFYgqvoG7g1mqBw7mSjXZ7ut7snejILXfRz3Sn5Zsd/A/tG42Yk/BmyrCgaG9GL34S1wyy9ewiXDG4h7qbL8xe7D73ux+/Bwsx1NDdex+dm7dmx+9qO45+syXIK/Lzs2P/uajs3PDvUdcKuxjHubX+jNwskGfsZyA9xMhEC+npv9tvNyPCkBAQRV/cb7e59wx63sP+R44CtcoPIc4FzgX8BXK/sPOdZnH1PCAggmrbwAwfO4m2NgJvFmuGRCcyZ1Lgp+Wx/8sLIJl+zlxurtbdL4fSOz1ZSxfovGrsMFS4gQvPwDeMDn+Q8AvmfrLx14n3GBiGwzQ2lW7oiWuAtouxDnqwtMnJU74mSfn29qkJJuI3sC84Hgm1xn4JmSbiNDJSHbsozBMxdoJiJ+g2zpFMub1eC2T+Ae6CIpyS8r/sTn+Y8m4K0lbAnIPAD8PdQBd3QcfT4wntBLqfYD5t7RcXRjn59vaoglva8W3Juyu9h6en4dXJBp4ZLeVwdf/4OD+uCCgWO8QHWm8zuWQ7W708dxftrg3XP3wU17DvysV4D2ItI++JgXuw/PAabjgoihXALc7OfzTc3SsfnZbYCFuC+igQGANriEnZM7Nj87uJb3VmPZy0k0nexZWhjXWM4vK/4AV5o2kpW4agt+9Aa+Zdvn67uAq0OevP+QrrgAftMQu3cEnlvZf0i0mVIpkw0XdlOzXcG2a/0DHYFbkx9oyxKGAE8AXURkvyT2rbq86rPd/BDbRm6s3Dw3aOp3lY3AwH6Lxq7wef7euISNW01xVNVfcNUbTg1xzMW4HA2R3Dgrd0TIDpqaqaTbyBxgCm6qczj/V/L/7J13eFTV88Y/E5LQu6AUwQKKqKAosPb6xYDYsFf8qSiCFWwsgoqSqNhFLKggimADRcpaUbGELiig9N57Td35/TFnYbO5WwIREPM+Tx7Yu+fePXf3nnPmzLzzTotHD4k4FukMVCwVKUOiPOT7ETYChdScPZCZlplegPaYlpm+HbgoJ5gXLSf6dyytIFGcgX2P8yKODwKuFpECv8vzjXuVIr7D9XAs+lGC/xbOATwrDjjUpvCGODJqiarOxtiE1xVr7/4ZjIOYjvkQCq3daZnpn+VrMBZr6rFo9eM90AxjBEWuyQq8SmFbCMxhG62EZAj3fXdqt6oJ9qEEBw76EFuj42YgLeJYobGMOZo7iUiscsH7C7zs5khswZgYkWiflZ8bzWm/BrioCEyic7Dyr5FjeTJQRkQKlXkEHgEi2YrhKAs8lODn/+MocSCUYJ/h7aaPC7ENlRA6urYheBkrQUzwZb+mP4tI0i2/v8GO/Jx4gjRjL8hML7Q5aTO+d/aVk55f9dXq3/tiUYnV63K2ZG/Pz34baNpmfO8vitCdc7C8TC+RtpeB+zyOX53AdU8gMWp3CQ4cnIcrYRgDKRTOxy/kDHT059UUNmz2K7Qen1Fj8NJxO8B74xF27JUo5y+7ddoby7fnZ/cBZudrcP3SHes3YhHD09Iy06PlmxeAiNTA8jJFVQsYN6q6DYtoXB9xWgu8WUSRuCaRPpTggEIia/IlU87pUivstZdTHyw15hERiWUU73NcOP7pCvO3r94Rx2e5FkvbK4S2E55Z8dy8Lz8DPgNWbMvL2rYya+M44Ky0zPSo1VY8cC7eUUuwIEkbj01cImtyWaJXiinBAYjG1a6vAVyRQNPI8e61Jm8C+uNRYnR/goiUeWL2p8FgFEdg2Jo8IC0zvZCeQOvxGeuvm/LKxr+3Ln8GmKKqa1ZkbcjB5rEmaZnpvxehO6dirAGvsfwiEfb10ktuLw1ETfUMw1VLL7l9v0hJKhFRLMG+RGUSUDDGImHlgdCA96JLoqrfiMhDIuJT1czi62bxQESOAt5cnr3h7025268qWyr1AzwitmuyN+d+vWZ6d6/kURE5H6jxysLRN728YJS6Y68DnxZFeE5ESmGClSvwmOBiCDd5qlR7oHr8JiU4gNA0wXaReYde0Q4w+vMQEflaVferesmOGXEj0G3o8l97XVfn9NYiUihSLyJkbpgze+62lUOjeEJeXJuzpXu7ic9/gqnWJwPTVbWfd/OoOBtjLETTgOmLCTe9G0aLTnR8lozj/x4ix6gXSmEpcKE0nM14jGNVXSEin2OblJeLrYfFBCc++jxw6JSN89seUa7mIDzGUVZ+ro5ePfXptxZ9W0jYWURqA52+W/vnKd+u+WOzO9YeqKOqibINQzgHYyB4rck5IvI+5oR9KeytRMdoomt3CQ4MNMKc9vEQuXZHW5P7AZNFpJ+qrtrTzhU3ROR0oG/mhjmf5mn+/amS/KJHG+ZuW7n1p3Wz0qOsyZ13BHPG3fvnwEcwNgAiMg4o0j2LSD2MsVBLVb0CASOx9K4aqhrSOqlIYnvy0phDcJ8LKpYwEEqwL1EUNdPcsP9Hm+DA6M9P70/0ZxFJcarUnwCPq2rH9r/3+wyLAr6H5YGzLS9728wtSz+9d8Z7E99fNu41Z9yEX6csRh3tFJEfOZUES9CEoSmm2H4IlsbghRconKu1JMHrLy1if0rw78buVhWI5gycg4mG7lf0Z5eDPAajDZ+eG8wfIiI3A+2x/gKQlZ8zpd/Cr6f2mv3p3MHLfi4UgRSRNMxg+DR0TFXzgK0iUuj7iINzgGV4RzqiCTclOo4TbVeCAwdFHsvu2Y0WFesDdNyf6M9iuAL4BaM8t3p78fffAydj/V0DkB3MDW7K3f5Rlxnvze+/+LtbRMTLufIK0F1VwwWOi7wmO5G6etiaHK1065vAbS4AEELJmlwCLyRKtU90Tc7CUhl67GG/ihUiUslVYksHrlXVpy6e8OxLGJtnJK76yda8rJVfr5keeGjm4O8/WZE5QERSIq5zKNCBwql9U0k8QBLCOZhgpWdVMhcUeRNLCQ5hI4k5BTZg1ZL2OUocCCXYZ3BlGn9OoOmPt017PHySi0aXRFUnYcKArfe8h3sOEWmGGSmVAZ+q/hh674LM9D8uyEy/GSjfYdpbx14++YUf7p8x6Mr1uVvXAl8BwyKon92BD1V1fsTH/A6cWMSuhSa4jTHKyfwE1I8QbnovgWt/22Z875KNx38LiVYViGwXyxnYC3h4f6A/i0gpEbkXM0heUtWbQpGFtMz0YFpm+qC0zPSWQMrFE57tc9mk53t9uWpyO7UNwUki0iHsWuWwTcpdHmPvd4ruDDyNCAFFD0QKN013nxUPA4rYlxL8+5HIWN4ATErkYo7+/CbwwJ50qrjgGAPDMer/uao6IDQO0zLTV6Zlpj+Ulplec1X2pjKXTnxuztWTX7pmwY4172Lr4YciUjfsWhcByar6ecTH/MWuktSJogXmhDwSq35RCG7OGQeECxUPdO/FuvY6bO4qwX8H0yhYySMairImfwCcKiIN9qRjxQURuRATiZwBnK2qs0LvpWWmj03LTL8IKH3lpBevunLyiwNfnD/q0h3BnPrAXOD1iEDjq8Ajqhq5id9d+3oJsdfkgcC1IX2iul+8lYd9v/HwXt0v3oqXAr1XUOJAKMG+xvPxGgRW/zIl4pCnhzQMjwJPRnjp9ypEpJyIPIOpoN+hqt1UdYdX2wsy03VJ1rrZwBHu0N1AW8yJ8J6IJDnBldZ4f19/AscXsYvnYhGJqBNcmHDTPWGHB+QF82e6971Oy8IcHSX4D+GiCU/9hZUNjIoNuVtzOv/xZqRwUSxn4ErM0L/T6/29BTf2fsJSqXyqGlWpOS0zPS9X82cAjVV1IWYQ/IlVNQk5NR8DBrr3I1EkB4LbDG3B5o5YYzkk3NQYoOvMngo8GKsWNeb4HJZoX0pwwOA1okQvQ4/LN6tnzzrphxcj68gHY6y5rwPtRCRSRHWvwa2jt2OlUQeq6pVujvFE+6mvZQNrnMbIc1h5uGeBz0WksohUADLwEDZ0laGyRaQoVUzOweYZdeWUo+ElwvKnz/s1Y3JQdXAc0mW3837NyCpCX0rwL8fM9YOzMfstKlSDrNg+cWLE4Vhrcj7GQHiqWDq5mxCRGiLyIWYbpKlqP6eDVghpmenBrflZ07E1ORsbO8dg+99H3fUuA3JV1cvJVtQ1WbC5IkjsNXkr8CVW2SaEjNxg/kb3vtdpK7C5aL9AiQOhBPsUt017/HOszqwntudn9f5s5beHisigsMV4K1Ah2jmqOheLrkcKh+0ViEgour8OOE1VvdReC8BRQLNFpLyqLsa8k1UwClQGZoDd5WVYqOp2+1iJLHcZrX/JWJSjLLE9pGDCTa1D9NMLJ6Tntf+9b+XZW5ev9DBYFgKt24zvPSHyjRL8J9Aei3p4YfWoVZPuWJK19mMRCV8wY0U7wCL1d4hIrDb/CESktIg8AbwPdFXV+zyiE16Yya7o4wuYwOTDwLMicjW2UYiWD15UBsLZWO33RsQfywU2Hg/MekwHLB2SlxfM84pSDQMu7DqzZ6yNTAkOQDQb+8ICTDyzUCqDiBBU/fyxv776HhgbwU7bjKXlFIIz3J8BehZ7hxOAiDQEvgNOAk71YAxEw0xs45GDVYy6GWPzfIqVRuyvqtHYdtNITE8ihJD+wdxYjZzW0SYRaRE61nb8c1UDq6dvdnZEODYCHc/7NaN/EfpRggMHGZgN54XcrPwNnTdmz7ldRHqFle2OtyaPBg4RkZOKs6OJwKUe3Yg52r4ELoox/sIxD2gAoKo/YCl/PwCni8gdmEPk3ijnzsD0XhLFERj7oAHx1+RXgbtCTIhDR/TPSvtxeOrqrO3LPezrycDZdb94a1kR+vKPosSBUIJ9jtumPf44VsP4YywqvnTWlvlLx66deMc9fz79KHAVlurws4g0ixM1C+FJTJgsVlm5YoWIVBGR/phXs52qPuuxoMfCLOBo9/9XsI3H27jc5Qgxw0j8QeKT3EnYZBR30+EMp/exCKoAozbmbdt+/8yBdYDjgPsxsZk2QIM243v/kGAfSnCA4aIJT63FlIfvxMq3rczT/NnDV2SuzM7PbfLR8p8HYuP8ahF5R0TKE4dN5PKK32Av059F5BTMCRjEWAdFEWWdhUU4cA6/e7B0jGuwlICnYswL0yn6pmMsUD2KWFM4vgROcdGbOsDnM7f+/VByUnIdjBLdDTOiGnad2fPyrjN7bipCP0pwAKHZ2Bc+x1htr2J0+hWLt2+YO3DxxIFJIpdn5ef2wCKRo5yWAMRnBn4ItHCb+b0Cpz/0MLbhf0JV71DVjUW4xE5noKqOAxZgWg9/AzdgAqXRMJUEqc/OTjkYqET8TQeYE+N+d273HM0/47l5o4904m13An4sgFLnvF8z3kykDyU48DBz/eA8TEeoHZaqsEJVF2zMnr9ua+6KMxdsDvTD1pAU4DunAxBvTVbM5nv6H7+BMIhIfcx50Qo4Q1WHJLgXCAXocsOCbA9i99ABC2B+q6rLo5ybDeQ7eyURhNbkROzrJcBs4FyngTJh9pYN39QsU64uVpr5IdfXU4Hmdb94a3aCfdg7UNWSv5K//e4PuBB4M+LYccAUzMidmcA1egH376X+XoYZG7dh5dR25xqPAjeEvfZhm5iZWJ7XxTHOfRDokODndHP9/Bw4JoH21TEadm8solFtXz8fJX//nj/3nDUPey1YqcKp2AL+apzzS7vnr9Ze6GsFzHn3M3DsHlxnJpAU9ro/5oj71M1hVWOc+ydQOsHPmYGpxv+cYPu7MYNpCfDZvn42Sv7+PX9ALczxLGHHamC59W9gIsFN41yjDfDRXupvM0xT4Gmg7G5e43ygb9jrg9zYnoSVbHwyxrlnAG8n+DnnYMGCbsDNCbQX14frMUG10/f181Hy9+/5wzbPd0Uc+59bT64GJiZwjWHA//ZCX0thTvgZWLrC7l5nKHBC2Otb3T1MdGtukxjnvocFEhL5nA8x230mUCqB9i2AUZg483xMU2WfPyOJ/JWUcSzB/oqvgOdFpJwaRR9V/dOVankJqCMitTWK19DhOWC8WPmyYoumjW7ZvTpwKLDxwgnpWVgUIgk4P05/4mEm0Dz0QlUzRaQ6lrPZE/hWRFap6niPc3+noLBSLJyDRSnuxahdMaGq60RkMVYD+FxVXZ/g55SgBADvYqXHJsLOCMZrIvILRq/cICLijheCqmaLyNPYGCg2PYSAzy9YKk8FYEHr8RmnYHPGm5jjcU/KRy4EDmOXGNqLmOOgEWYwDBORNLXoRiRmYFHPmKlPLtq4yn1OIlFLMAbEKiyXMpH68SUoAbCzJOMybGM+2R1b44QE78Oi3l8SPY0JzEh+UEROVhM8LhYEfP7y2FjOeXjm4CXTtyzugen8dFTVSA2lomAmdl8AqOpaEZmKsYSuxvQQOqiqV4rANBJXbz8HS0VqhUUvY0JVVUSGYHNrD1VNRIy6BCUIYRDwBWEMGrUy6Oe6944QkTJqlReiwY9pdH2nUfQHdgcBn78O5phc2Xp8RjXgLWy+8anqlj24dIhNFBIPHoSty6FgxlC3JntVKwmlFsZkIjqW7kkYIzg3ERtCVSeIyHFYmdUGWjTW8j5FSQpDCfZLuEH0OXB5xPHtqno7lsP0vYicGeMamzHtgAeLo0+jW3Y/ZnTL7p9hBvhUYMFrx9224M76F8xT1XZ76DyAgrnToVJv84CzsIjD5cC7InKkx7kJ5U47mlRdYDEWSYpbsstRTs8ElqvqrwncRwlKEI4xGEWvXPhBVf0dS0+qDXwqEWVLI/Ah0FxEjtrTzgR8fgn4/DdjG/U5wNS8YP76J4668p0b6555m6q+uofOA4gYy1jU/w3gMVX9GIvaviciXmtwoiXgEqZKhqEHFtF59d9kqJRgv8EAzBm4E2p4EaMXPyEit0Womxdoi6M/R2tTFAR8/moBn/81rPLSNGDWgw0u3tD1iLbHnlGt0Wl76DwAc7TVDr1wFO+mWBWKU7C0pHCB1J1w9kc5iSgXFwXhY/nveI2dgON9mE5FvwSuX4IS7ISzVVeLyIkRx1dhYt15wE8icrTX+a7tX1jK3VXF0aeAz39WwOf/AUtjngqs6NP4hszb6p07QFXv3UPnARRek+/B0qbvxcbc3TiBVI9zE12Tj8Y0TA7HbIu4EKskURMY677/fw0kStCnBP8hjGzZvRpG52mHiSDNA94BRrYd33uflQtxk9frqnqux3tfYEJkT2Fshae8jH6xEnCTMarVit3ty+iW3U/EFvidk4uqEmYD3dVmfO/Xdvf6rq8pwO+qeqzbbI0HLsLyn9JU9SYR8WER0vNUdW3E+X9hgk9RfzMROQP7rTOAZ1X1kjh9qoJttCZgeXJPRmFAlGA/QMDnPwnohNUzz8eEgl5Py0xPaDH7pyAifbBne3DE8ZoY9bk/JjR4RzQnlTPS/09V98hgCfj8T+EqhUSMYbANw2lpmekL9uQzROQW4CBVfVZE2mIpQ5dhbKJemAjUy8AOVX044tw0oLWqRhN1CrV7D/veLgF+VG8F6fD2V7BrA/gIcHI01kcJ9i0CPn9pLMJ9I7aBXY050QanZabvsxrgzgE9HaMCZ0W858fKxp2NOanuiMb8E5HPsBTFRMu/FkLA56+OlTQ8JkqTQcDNaZnpe/SMi8ivmFjbOhH5HEs1mAcMxqjK1YBvgPaRDgsRCWkv/BHj+uWxFMWmwCxVbRSnP0nAj9hz8QGwVlVjqu2XYN8h4PPXBzpi7JJULNjzRlpm+i/7sl8icjlwlqre4/HeTGyd6A/0UdVBUa5RBwgAJyUSjIqGgM/fDtvMl/JYk3OAtmmZ6d/s7vVdXxtj+4R2Tvz1S6xawqPABlXtIyLXY0KpF4bfjwtujFFVX5zP6ASUwxiIJ6jqo3HaN8SYmS9gjpizI+36/RklDIT/OEbaxngWVp7IhwnxXYzRm0aMbNl9r4kQRkJNbThFRI7weHsTVr7sbKA8Ru+vG9nIUYQzsNJpu4XRLbsLRhUs4JmMmOReGt2y+6G7+xmwU3AtJPTSE3hPrdTbEEz19lw1MbfHgeFSuOrCXJzSbAwkHLV0qrxfYTmW12KT3P1FuacS7D0EfP6eWF7sLRjF9kTs95oZ8Plv2Jd9wzau/+dxfBNQWVU/wByYL4qIX7zLwQWAg0Skucd7CSHg859MWJlRjyBoLeKUvkoQM4DGLlL4NHC326x3whwHqdhvc5SIdI44N27daRe9bY459hIZy8djxmCGqn6CE24q6k2V4J9HwOevAfyK5d2ej0XNzsZReQM+f6F1bm/BGdWj8E6X24TpldyAjdVxElYpIAJ+4KkoDJxE8RTRnQcAN2HOtT3FTOAYEbkUyFPVkWr15kcDXdRKQV4JvC8Fq1JAYszA0zDNlYMxJkU8vIDZaediFPTbo8yXJdjHCPj8l2Bz8yNY6s9x2Pj4OeDzv+DS6PYVvgRauSBbJLKxZ/cMoK2IvC8eJUlVdRnGpuuwu50I+PwVMPu6FHiuyanAewGfP3V3P8NhLtDQrZ19sTLG27F55CYRqe8CHGOB/uEMKVXdAFRKYJyFUpESWZOruLaZuIouwB27dWf7CCUOhP8wRrbsXhFbBGtGaXIh+77m6EDMIxiJ0MYjR1UfwkpEfe2ifZEYApy0B/TnljjxlRhIZg8m0TD8jQlNnYdpPYRon52xzVVpVR2OeWs/iJjQEjFWikJ77oeVpDnfRZvGAg1c7nUJ9iMEfP6riV4ONRkY6DbP+wSqOhOj8x4WcTwbMxBQ1TlYqkwNICAitSLa7jH9WVU7JtCsjYsa7QlmYRu/Jwgr9eacol8ADzjG1PXAtSJycVgfVwIHx9lcHQEscRu6w7GIhyfE6tgHsChnhju8U8W9BPsdPsQ2G15oBAzfxxuPQmkMDhuxNVlVdSAWUXtNRB6MfJbdOJjKbupwBHz+iqp6UwJNi0MzZSaW19wboz2H0Bu4TkQOd3Tujpi2SXgqVlxnIOYISNSpfwNmD12rqotUdQ02ri9K/HZKsDcQ8PmPxjR+ogXh7mcfbhjd2jEGCxhGIjSWN2JjdByuCppH22ewUoSeJVwTwDXELhsJ5tjfI2egu191n7dFVQPu+Has2sGrzq7IALIwpmA4ZgNR9xBujmuCpVLFHMsuODcGSxW53Nk27wI3OJbXvwIlIor/bdwAHBKnza0jW3Z/rO343gVKhAX7d66MGb8nYYPge2B4UofXdpvGFAUfY0KIT0SkKGykYDpBQESmAYNE5DzgEbc5QVWDItIDW/CvLMqHi0iZO+r977GLD2nu5RmNREIlm0L4ssWjqdhvcCsmALX50QZXrn57yTfPrMzeeF14jrKqznG0z4eBXqr6qlhZm+fZVdt9KvZ7fBzlXsoCNVR1sYg0wmjUnhCRDpjmwnWqusj1QUWkL3AXNuGWYD+A20w8HKdZKcxgud7j/FBU5BBM32NwWmb69OLuJ7ucgY9Ha+DG7P1iwmzfiUiX0ELv3p8gIhswOuhXRflwEWn0ZpMOV9cre1DcppgjblGi1w74/Idh4+JSoMKYlt3mvLpgzGFfr5lOngZPiWiegc1pQ1V1nohcRmGB1PkUFGGMxLnAWBc9yo+mZ+CMkTGYQXRlKGXBfY+VRaSR2/yUYD9AwOdvhrEOYuFkjJFQQGwv4POnYM/feVi62VTg/bTM9GItx6kmZlxJROqp6uKwtwrUj1fVv8Q0ip7Dyj22V9XVYe2fwJz+nxWF/iwi0qpGky73H3Fhufiti7Ymu7m0NeZ4OAnIe7vpHX+9MG9kvZlbl72qYTpHqrpDRB7AnCQXquo4MbHXcIHUqUCXOB97NraOX07sTcfJWFDhVVUNn/tewpz9nxflXkvwj+MejJETCw8EfP630jLTC6SdBnz+2kB7bMO6FXM6fx/ZrhgwAHMAfBJxPDSWV7k14y2XyjPIpc69EraWbBSRd7DnPFoQwxMiUr1Hw8sfOLVaQrG9Ez36GRUBn78Kljp4I8626VDvvKShy39N35K3o8CarKpjROT/gEtVdbhjBUYKpIZ0EGZF+cjjsBSkfGdfx9Iy6YuxhU9T1W2uD1tEZDTmsHk/0fvclyhhIPy3cWECbcpgBslOBPt3vgIrA/YaFom4HSuRMifYv3ORFux4UBNOGR/ZByKMFdd2BZCG5Yv+JAXrTX8FVItBqSwEMb2ATBFJNOc0YSPoyxaPVsScLu9gGgcHAw1bVD3qtJeP7XDYiObdvbyQzwDtwu7rIaCWiIQiifGiHadg0QqIIdYkVumiN1a+KnKTNgS4SEQqjG7ZvcLolt0TrY1bgn8OB5OYoVwgShXw+UsHfP73McXghzGD5SFgWsDnHxLw+Ys7fekj4CqvyHoko0BVv8ScBA+LyLMRXvnuFIH+LCKpIvIoMLRaSoVEnQIJj+WAz38uVgaqK+YIPBg4/e7DW9cYdELn0mNaditgRDo2T1ds4yEuihgpkBpvLIeokg0wamYhuO/0HaxiTOuQoRKGl4B7Az5/qYDPX8VtQEuwb5HImgyFx3JTTLTrYyyqeQuWirPUsZOKGwOx+SIcherHq+oOVe2MpV+Mdc790HvLgREUIQrr0hm/Xpm1MdHqBrmJXts5D17HUjTaYlHPQ+uUqfa/Po1vPPrLFg8V0lhyGg6bcGLPWlggdTlWMcoz+iAm2FbazQGx1uTamINgOhHpmI7dtUNETgr4/GUCPn+lfcxQKYHBiw0biSOx330nAj7/w5jzOh1zuN+FaWyMdxUKig2qOh2oLoXTf73G8p/A6Vj6zBciEu6J74ut7dHYzAUghmuAcVVTyi9MsLtFGcuHYVWP+mCsgJrA8e1qtTi2f+WJhDsAACAASURBVJPbq49p2c3L+XgfZldUdA75SIHUhNZkN9YraBTRx7DgXAdVnR3x9ivAPTfUPUPcON5nKeSJoMSB8B+GqibiwScY1i7Yv/NZmLPAi65UD/gm2L9zcedoeuVPF5rgAFQ1X1UzsGjrcEf5KxL92UVXXsfykq7emLvtjWACWmPfrf0jWyKU5mOgL5b7WAhlS6WWAr74ssWjkRN4NnZf/dzGI4gZcZeKCaQtwKjN0RA+wVVVj3KMjmI+FDNUCnmTR7Xw591Z/4I5H55432xMg2Lr6JbdJ49u2b2904oowd5HQs+cx3h/A2MeeOEaLCev2KAmqDYJew7DsQUrpRjZfikWjd0G/OA2DyH682TXx5gQ00v4FYsEnTpn24q44og5wbz8LjMGBRNJk3D56sMxHZbI/lM1tUITLF0g8r1vgXU4CreqzsXVpXaGWdR0JNevZpiBdDTRo5b3YrW9O3oYKgxtdu/kLkdceLXL79wAbAn4/B8EfP7jY991Cf5BROraeEJVd7YL+Py1sA2GV9pNBeBD5+QqTgwFrolw4hVgBYbDpd21AR4Xkd6OwgumvdQpHv1ZRJJFpCsWiX16Q+62TpvzdsR17M/csnRNopsaLAXB05mRJEKylOoX8PlberzdBas+Ucm9fgELYmQ4u2Mx5sTzwhnsYgJ6jmXHHByNOTXbqYdI8j2Hp/3y2nG3jAJ2YLbRwoDP7w/4/InaIyUoZoSP0TgIH8t3YJo5Xuzwk4GAE1gtTgzE9ELC4TmWdVcVtMHAjyJyljuehW3WY4oGAjhnxQgsdeLsZVnrf4jVPpQ6PGjJT7mSgNaHc559hqX2FULllHIVgWGRTjbn0HwDl7qgqlsx4eNnXepGvBThUHpwbaxKXCG4oOSTwCBVLcQYGtOy27rOh11Q5qrap6zCxvH2gM//TcDnvyDG5+4zlDgQ/mMQkcPEyiwN/W7t9JhRy9DAfWTW+8+JyBARab8tO7c3TuwkCqpj5VCKE+OA40SkWtixQgyEcKgpuZ+BRewHikgFVZ1Yu0z17c8ec+vQYc17/DWseY/lw5r3GDeseY+bhzXvkQrgqNO/YXlMXYG3hy7/ZfiMLYtjllcJqq4fsOT7pcAUEeklIgdHa/tli0drAdfFuedqeGg/qOpYLKpxrXudhU1y3TGGwWoRiZaWcg6myl8DM3AKQEzwbRQmoHNFpKEyumX3ZOCjtgefdFHllHLh+enNsEWof4kTYe9ARFJE5DQReezSiX0G7cjPiUttXLxjLSIyU0Qyzq9x/E14a4uE44aAz7/HZRMj8C6F86ejjmXnEHwC6AZ8KSJXA6QmJfdqWaVB71EtH/ki4PMvCfj8CwM+/0BXhQIRKS8iL2Ae/duxMTP/pfmjz8jXYMzyhauzN42YtXXZncAvInJl2GbHC7cAlbzeCPM/tA/4/F55E12AnmJiSmiYQCpGk4xmrDQC5rooiWeupYi0wsrXfuA2bwUQ8PkbV04pN+F/NZpUDdu8lcZSXMYHfP5IxlcJ/iGIyEEicpWIvPXqgkBkVN8Tby/+/kYRCYjI3SuyNjyBzenRkMQeiAh7weVGT8VKDIcQb01ehK1BirER6qvqxuopFd6/5/DWHwd8/skBn395wOefFvD5Hw74/FUBRKQJZgPUwoRW/29J1ro5o1ZN2Rynjzpm9e9jsFSo/iISVXAx4PMnEV8TRNiVLhj+OSswNuZToc+loEBqrMhlaNMB5gAKTwkJOQvfwyKol7rvPbLvj7SueeKTR5Q/ONzmqIexCMcGfP7dzU0vQRHgourHich9IjJy9rYVhZzikcgN5nHV5JeGi8ib5ZPLXBXUYLwUgOMoYhpuAhiC6fCE227xxvJHGAsqQ0Qedxv79xuWP+T8oSfdOyTg888P+PxLAz7/qIDP3zbg84uIJInInRgb+E2sSsqPL84f1X19ztaoaVYiQnZ+7p9Dl/9SB5gmIvc4WzUaziK6hkxoX9MUbxHhfsAp4spbaphAKjb+63kFFtz9N8bEk6OtyYdh+jZz8Eg5Dfj8lYEf2x7c7LjUpOTQfC5YECUQ8Pn3O82iEg2E/RjNq3Y6DhPPOxN7kMYDr03c0G9SotcQkerYInU+Rj9aiZUSe+60ao2ewaJY0c4lJ5g366+tS4cCN9auUr55+dIpR0ZrH4ZriZ+TnTBc7v0Qd91QqcSo0Y6w8zaIlarpCPzc+bCLXnz52DvOTJKk8AW1FnB6bjDvjorJZZdhgm49gAcwCtk04MTjK9Vfj31vXkb95iSRi9fnbP1FRB7HWAHfiMgE4EVVnRHR/mwSG3utcEKKEXgQi8iOUdUNqrpeRNph1MnJ2ORYQM3ZTbgVVXWFWF7qXxHvJ2FRpUpAWy9DBcsLvTxGf2/FjKHBo1t2r4Llnp2IUc++Az5vM753cWtk7PcI+PzJmOF7K+YV34Tl8r2Tlpm+Lta5IbhFqzE2js8HGmIK/N9mB/OuLlsqtRs2V0TFutytr2MOvpsOLVM9UefxNRQWE9oT/AT0FZGqLvINu9hES6OdpKqhaMeAJJHzPm/+YHZqUvJhmE5ACO2Bm9KPubYvNue9j1G6R2Hjuu/qnM0ZpSSplTvuFckZW7ds9RtUdbuY6Op9wGMi0h9414OWmEhkoDQ2hw+LuKdVIvIyZuh3dseGuwjNY0SvqBJKXwAzVgqUtxIrf/s2pp/wSOTJLvIyhOibzrLAxwGfv15aZvq2Ic16NsUcCyGV+A+undIralm6Axku2n8HFj2rgM2j/YFRieYnO5ba6dg4Phcrt/o98NEhpSs/gqWkVI12vqpmTdg49zFsPeySLKVqJ/CxZwZ8/jppmemekbHdxLsYMzC0AfZkBYbDOb0eFUtlGH1SlSNeGnTiXe2TCgoc1wKaqGqn4yvVG4mJGGdghnwmxty5+No6p/2ElTH0YiKpiHT8Zs30t8TSly4C3hSRLZjewNhQDrfDYUBDLVxCLhKtohx/E6s6cbKqTnJ50NcDX7s+n4CxJyJxFkabLgdka+FS1N3c/T/k6OYF4BgRGZHHw9ACs2Pu9h/5ZCq2Dp2L2R+TgQ/S5/UoVo2MfwsCPv+ZmE1zIsbu+Abol5aZPi/Ra4jIoVh67flYVZy/MDvxgYbla51MnFz2zXlZo7fk7ZgDtDu2Yt0LkiQpauApDNdhz32xwNnJf1CQDZPIWJ4vImdjjrNv32zSYdihZaofHeGoqwO02Zi7bbgg1RX9E3sen8fWn9FB9KxqqRWqYzZiLQpjQelSKRcFVRc6dt6dwESxUu6vqlWCCEe0MQoUcOy3cp8Zfk/5YqUYXxORM1wA4y8R6Yit36tdH5dTECdgZaqDYvoHkfZ1RazqRS7GIvIKYvQhhuMDeCHg849Ny0z//a56vepi9k5DTCNjOPB938U992pZ5hIGwn6K5lU7dcQ2rx2xjcMxWMRwYvOqnbpHO09EyorI+SLytNvAjsGoT58CzVX1fFV9WlUnXTnpuakY3S4adqQmJd8aVO0FHNXp7OMeSLD7cVXKdgODKJhzGXeCA3M+qOrrTSod3tlXtdE7Ec6DUBtSkpJ9DzW48ih2lXFLAS5Q1XNUdU4bE5E8HRPGmeY+fzE2ETZpM773L26Tl4ItIJ2wmtjDRWS2iAwXkaEi8v2biwLPJnjPnmqsakJULxBmOKjqAuz7OQdbCCIRKhUF3h7SXtgz1k1Vp0We7JgFiTBL7h7dsvvV2GbwFczAvB3Lf589umX3RHNXDwgEfP7ymBH5EbZgNcTG4zPADJe77AkRqSsi7UXkfez3ysCidw8Dx6jqTao6yC2gT2C1yaPh52aVD39QVa8Djjyx8uETE7yFYh3LjtXyEQWN/pjRjrBz1wIXdzqsVfnUpOS7ojSTZpUPv/uc6sf+gY3VRzDH2JGq+piqZqVlpo/AjMY3MENgI+acvQ24IC0zfbtjHWx2bXpgOiVzReQ3EflQRD4XkV9nb10Rsy50GKIpK/cHmkqYNotaTfcFQGUpmGcaQnjUskDetJgC/OeYoXJ5FEPlDCwvNBaqqXLDkGY9h2IR1AcxmutDwPQhzXp+MKRZz+Km0u7XCPj8Z2DMkMew56chtjEdAXwSrcyYiJQSkeYi0k1Evsccf5dhz1wrVW2pqt1U9bt3Fo9djxnIIYEyr+vdt2THuudV9WTgzCop5RI1GqsX5X4TwA9YdaPQ2N2Cd2pjIajqd6WTUs65rd65zyZFqY4kIvUebnDJNUnIUmxNbolVOjpaVcemZaaHqphcjY2HDTgRWKBlWmb6W+5SZbBn+AFsbc4AFovIaBEZLCJfdf7jnZHuM+N13fOZdxv/0MajlDu2Hfud21I4bQsxRqU6R2pDTOU9/P1L3P2OUitz64WYTmOHmzOOfuJ0zDE1xF3z/7A0yqX+I5+8IoFrHDAI+PwS8PlfBn7E1qGjgeMxRtjMgM8fNcIvIlVE5FIR6Ssi07GN/KFYYOtYVb1EVV9V1b+SRIZi9nc0LK+eWqGjqt4HHNaqRpMBCd7CP2FfR1ZWSXRNzlHVhy49pPlHdcpUe0U8dIlUlSop5S+75/C0HCylrg9mz5ysqjeo6uq0zPQQ4+4J7Dnd5Nr4gZPTMtMXumsrtpe5Bwt2ZYrINBH5SEQ+FZEfR62acnuC9xxtLE/B5uiOYcfGYaklh2OOokhErsk77WvX7w9df69V0zspAMe2ujFeh1XpfFe9Xo9iVZeewmz+zti8lnlXvV5eDph/DCUMhP0Qzat2OhMT84mGp5pX7TRz4oZ+w91idSK7IpOHYBvFb4E+qhovwvkAttl7iIIVGX4BurQd33sC2CoX7N/5JyBIHMfT9py8dRVFRL2sn92Eqi4VkXUi0tRtcBOa4EJ47KjrTyZK6kXIaDi6fN3jq6dU/Htd7pZbga8c86Ec5imt6f62sit6VxOjlA1H0kNiJ5swL+Ua928/LFJ1nmv/xkUHt5iE5WXHxOSNc8tdbCWivPK238Vq156iqr8BqOokEemD0aIztKBoWqhUFNgE923Y/V+Hldz6KoahchBm5MRDS2yy9HpG6gPfjG7ZvWmb8b1XJHCtAwGv4WE8OhwMjAr4/Ee5TWtljJ1yPhaZ2oj9Tq8Dt6hqVBGhtMz0NW6D8xIWZQrN7dsxCuyDaZnpWWARzIDP/yMJlP6KRS3cA7yHMQBCc1xcNlEIY1p2g/ibX86q3viSsetmfAp0d3NHkjPYa4b9Tcci6qHXNwH3IxlJWFR4LTaGV2MiiT9hY6cVZiA83LD8IddgGwdPhCKafeaOqNtaMsqq6o6I94Mu4vGOG8uhDf9DWNmqXuHXl7BSUc5hWVFVN7v3ktnFrLhWCyreh8NTeyUSeSoPYiJfXrgei9p5lfM74OC0LkYQ/Tlth+W2Pux+lwbsWpOPw5h+32LjeGGsz0rLTP8o4PNvx+jBx4a9NQfomZaZPjR0QFWXBHz+BUQIsUVCVXXRjrVrY7UpKtyz+zG2gX/LvU44he3z5g8cAVSJFfU/KLVitZZVG5zy24Y5PTAGUJ6YKGoNdq3BqRj7bkLYsb5IRiVsw7GdXeN4DbYBCWLj4BTgo8rJ5TpiTgbPdKQQlu1Yv1msGsLkSPtGVX8XkZ8xg/4Vd2yNcwRME5EjVTXcyXsWtomFwpuOJthcvgqPtIkwJDKWK4joSLyf3QrAUP+RT56XPq/Hjx7vH4i4g4LlOMORCgwO+Pwz0zLTZ4hVuTkFG8fnYXPrWIzV9ohanrwn0jLT8wI+/2UYw+x2djnXgtjzem9aZnqovG8w4PN/CzwejwWzJW/HP7Emfw+8LCYguAVbkxMu131H/fOjlogO3UvzKkeenYT8GkTvV9UpYqhIwTV5GebMCL0+D7gGyUjBxvJ6dtnWq7FATC2MCZgLvNyqRpMy7hoxMXLV5BqtRQ5ygYlI9MCcE8PVVV5R1Y9F5FLgSRH5Ugum+J7LrmorjTBtlxCexKppPK27qixF4gSil/vciVylLdEr57UAAnfV69W87+Kee4XpW+JA2D/RNV6DnODWPo4idzyWi/gtpuoZVyQsHG3H91bgxZEtu/d9Y+FXfSqnlCt1bZ0zXms7vnehHJ6kDq+tD/bv/CVx6rG+9dOMbGCqiHyAiYVEM2SLihBl8j6KsOlwiEs1Tk4qha9qo22jVk98HHjBTXzbKThhrcYW9T/CXq+J3Bh44Cmxsov3dPzj9U7vNLlrSY3SlaMJKxFUZcSqieOxsjl5GAPj0xCFOmzjMdBtPEKbyzexzccQEQmnSp2FeX7BJri+sFNk7kl3H7EMlaIgloOpBmZgxRXb+bfDlWKKJlIYQp1Pl2cObW2R5rKYcTIGY4JENU68kJaZvgK4OuDzH/LU7GG/PnDkRXeWKZUyPi0z3SsdZQjRxZoACGpQu8wcdMX18moTjBI/JkpEu0hQKyO6SUSOV9U/KJozsBa2IYuJEyrXL42JGY0SkZDxsYGCG4nVmNH+U9ixdR404gJwm6RWQI+uM9+v/MKx0cvRiwiLtq9Z/f26GbWwOfEnzIHya2gDoqrTReQHzKh9wR0Limk4PCAiV6jqp+6SxwEz3Pu1KUilfM59P31iGCoJI6hRnQch3DykWc/e107plTDl91+M24jDeMsL5t9dKaXsIViEahG2JvcC/lAP4btYSMtM/zLg84/8ePlvN67M3njjPYe37g5MipImMQijBUfFrK3L1nSd+f73d8rbI4B31IRIiwMDsbnkrTjtvHABxI/6n1ntmK2/bZhzI3CvG3u5FBzDob+5Ece2xgliPO+cth2mbl44KnPDnPm+qg09dUdCm7pfN8z+FVu76ovIh5jGSLgz/DGsROtnIWq1qv4tIvMw5fqzwzYs57IrQr3TgeCcIx9jG80rtAglLqNCY86vpbAN0wHvQHBaF/GYtCkztix5u7XIJizo8Ss2ll9V1ZhaWJFIy0zPxko1PvHcvC+HnlDpsO/Pr3H8xyHHQQR+A+bJrko8BRB6Bt9Y9O2hV5mjagDwUVHthCjXzheRT7BA0jsUMUBHAvZ19dSKyUdXqC2zti57S3aJjW+h4BhegzF7J4UdW5vAGOguIk2BLldOfumEj0+6b1tqUnLUCmHb87PzBy0dtwBLNV6IrcmjQ5+jVlKxJyaAHF7FJgNLZcjApWk7++JIdjEB6+JEFF1wrh3GNnsjzj3ERU5QYmndgAUX2mGsy38cJSkM+xmaV+0UqkMcE6lJFY6slFz3ZYzKfI2qvl1U50E42o7vnTtq9eT1Hy4b97OX8yAMj2Gbak9szcpZ/dxXU2dgntxWmFLrMBG5UGKLkSWCEUBr5xUu6gSXEN327OpNh2L9PlZVG6vqyaraWlXbq+qDqtpHVQeq6mi1XMfFCTgPABORUtWugO+dJd9+vD0/O6pR+cWq8fOnbp5/HhYtuQOrrjBeRAaJyLkikqRWVudbTG099BnZ2CT8N/CK8/JWBlLDDJfDgEUiUgej4ClWI95zkhYRuWhCxnFrsjcnWs4yHuIJSB4oaEVswVEATql61MFYXtyJqtrFPVu7bRSkZaav/GXD3zsundjnqyjOA9Iy05dj6TdRMXXTwnGrsjdtxZgSXYCZIpIhBcuj7i5CzkBIMB3JIaFxnCrJiqV8tXDj+FhVPV1V26lqR1Xt4aimH6nqWFWdoaqr4zkPYGda1Feq2mrW1mUdvlkzfVrYewXa7sjPyXp1YeA3zIF3A5areA8wXUQedU5FMPHEW8RyakOYhEWuu4tIKNLomb4gVhrqHNc+qqEiIpVeX/j1wV59jUSexg0mCwWNqwMZccsrJieVKnvroef+CZzo1oznVXVaUZ0HIaRlpuuAJT+sHLP69z/TMtMnxNBYeJ0Y6UtBDWYPWfbLz9jv1Qz4UER+EpGbRWSPyvCqCSNuE5HG7lCeM6gTQbS0ngJoUqn+BCxocbwby01V9X+qep2q3qeq6c7+GaGqv6nqPFXdEsd5EOr/JlV9Dmj63pIf+y3P2uC5losIkzbO3zZwyQ/VMcbmZZjY8BdiqRBXi0gZN293B16OuMTPmFE/XKyqAlgq0Tj3/0bA32Llaj/DfqsOapVoPCEijaduWhD3HvMV3ZYf19Q/z3/kk4lWq/g34yiis6p24ohyBzfCUjYbq+qtqjqkqM6DcKRlpm/5bu2f256fPzIQxXmAG98PRruGiLAme/PfP6ydsRRjM1yDOaXfFpFTisL+iYKB7N6aDAmuy5ce0vxZ4Cw3jhurpW9d5L7jbqr6gqp+oKpfq+rvqro8UQeam2vbZwdzW7+/9Kcx+W7ajZwGVDX47uIfJmzJ29EOc/D2xhgm00XkZRFp5r7LYUB5EUkLO/0vbNyHBFIBTgImqaqKaY1tdw7+FlhKxg6sEpLnWBWRlI7T+9fNCebFHcvrs5Pi2pM4gfW9gRIHwv6HZCyPPi6OqnDRvN01TqKgCjZxREVSh9emYRujhR5vZ1Yok9pi+cZtl2C0r8FYJKYx0BOYJSJPiSvHVlS4zXEAo15nkWDJK4C8YH6kkGHktQE4ovwh36nq5kSMj92Fqm76Zf2sBzLmfvrOxI1zcoMFf8K/duTn3DJgyXfbsO+wAcYqGIBFHwdiG6M/ReRJzAHQPmwjAkbNHobRMR/CBNx+Gt2y+1EfNruv1VHla5WqllIhZKjkA7d7GSoiUl2sdNbsIDo4sGZqodytsHsqyldQ3Lm4+ysSquFbp2y1dWpqv8WJRIwJP7Z4ZkcczwGePqnKEeeoanPMqBjnjv8P+NxtQG6UxMuWRuIL4EJnMBfFGbgsX4OeTpFwiMh0VV3m5ox/DKo6fcSqySe/uiCweXX2pqyQDeccEcOfmftF+owtS3/AIthvYDTDG7AxuQZjCn2HiZM+jqM+O/yJ5ee2A94SE0c8t1bpqj8HfH5fu0NatD2y3MHLxERRuwB5RDFURORkEXkH+HvEqsnXrcnevDaWvRlUzc4JJmSPlozlMFxQs+ncYn7m4q7Jzkl4Dt5pcYuSJKnVxI3zLsfYii9hRnAtLMf3DxF5S0Ra7MEGJLzMcsJjOeghCuiFaqkVflLV9cVs6xSAquYu2L66/4vzR10zZvXU/JxgXn7Ye6uBx56Y/cnfQfRSTKtgBDBVVVtgOistgN9F5A0sLSpFRMKdTr9j5Wg/Bj4QkVrAjjEtu1UI+PxnN6lU74QzqjVagKU8lsFYIt8TAREpIyI3iMh44JvBy36JagOFpoGVO0oF8+M7A+G/MZYTGsdlS6UGVXVOMduBiYzl4ViApVCJbWBYjdKVWuRr8HwgDUuDWIM9e69hG+CuknjZ0gJwAchsMRHAIgXocoP5MxNolnVm9WPGacHU2mKHqi7/ZHnmlU/NGTb1763LsyKmtV9+WDez46jVUxZj6REhRnNPTHz8J2wdnoQrz4qVcSzrrp2L7T06YpUrLgbOFWRswOdv+sARba9rUP6QZS44FxLQvFJND6UARKS+iDwFLFi0Y22fSRvnLY5sE4mF2xLxH/wjGhmeKElh2M8wcUO/3OZVO83GPKVRoRrcKJJUXKkBIVTBUgNiIqnDa78E+3duAKQ9G5gy4IELTnwxyYlDJXV4LUTL3YTRgt5zE9qV2MR4FVY/ejm2MR6WaATfYQDQW1U/TdTeEZHT65WtceWLx3qWeA61Iag66YpJT0WtSlGcEFNav2ba5oWXfnLSQ1O+XJl5SeaGv6+avW15GUxnIQnIUdW7ReQcbMPVD3hTVb8Xyx27AhOXEiwScpb73kP1am8BxviqNLz07sPbVAHurZJSnheP/T/WZG9eOWT5uBVfrZn2brih4ozI0zHWgw/bNC4F/DfWPWsiFkUpVIlBRPhp3czs06sdUzop/u9SnErg+zMSWVTZlpddrBRwx/SJG0l3EY9HAz7/S9M2LXpkdc6ms/9Xo8m7wCdpmek7nUWqOgvT1XgME4C8FosIPgSki8hoTAywUF5wNKhqloh8g0V2NxInh9vdVwrw+O31zit7Wa0Wnm10V/7oHtMFE8XcbSt7zt22Mnt19qYat9Q75/gRKyddM2HjvAvX525dh4khnqWqL4nIqRhV+GfgNlV9E1OGPxoTQ7oUKCci3YBnVHWHiCi2IWmfhHxyY90z61xd+5QAULND/fMIqgYnbZy3/Y1F36xZkb2xbbih4qIh12GiaanY/D4I6FOjdKWa7CrpWgDZ+bl8t/bv/FOqxip5vRP/pbF8UrQ3Q89dVn7OrGL+3ITWZBfVPC3g8zcfuWrKG8dVPHTiYeVqjATGOLFBXCRvJDDSMQ/aYloW52PR8KBYtZEP1DsvOBqGY/ODn12phTHPF5H6qZL84HsndtIqKeWjLhiquk1EBhehL7sNN7/0+3PLkr6ta57Y89s1f/zvh3Uzrpm+eXHjXM3fgLF9GqnqKyIyBtMtmYzprHQVkUcwKndXTC/oHTEl9znYmtxRVduLSP3Dytb4sMuRbatia2vSM8dcT1Z+zqIG5Q/ZOGjJT5PyCfaJ6FsjLI/+Ysw+SAXum7FlyWfYPFyoEoOIMHvrivy5W6pSITku2SOIpWYe6FiAOcxjRsyz8nPn/wOfnehYHhLw+T/Pys+5YtTqqc9eXqvl88CItMz0nSKbamkzL2O6BUdibIRrsEpP94jIVMy+/joRVl0YBmABqhdJwIHg7MXrzqp+TLNHGlwavv4Wgqp+2Hp8xl6p+CFWsemozA1zjv6o2b3Jn6zIvHL8hrmXL8latwFLkWikVpHsEky88Ges0slnwGdiZdivw+yIFMzpd51zDk/DxvdlwLeta55Q/s76rQQ44rwax3NejeOZu23lOe8uHrty6uaF92uY7omzzS7E7OvDsXE8Dnj81GpHr8S0KDwrMXy6fNqOMrRMJGi619Zk+QcDrSXYTTSv2qkrls8aFWuyZy1YtOOHhZhYx1fF4SkVkWGAX1VjpTBEnjNTVRvHb7mzfX1sorsRKI9N5F8Cb6jq1ASvMREzdabbQwAAIABJREFUtr/BUg2iUYMqYvlcFwKbbqt3wabWNZs3AgpNdLnBvOzHZw+e+tfWJWluE/6PQkR+BCqo6kkRx4/Cakhfj+kUZKjlY1XENAyOxDYfi8LOORwzDCtiE+FUrCTV7e807XR5jdRKnyaHMZ/C7z2o2qnthPTXxdTbb8I8sqvdtbZiHtiQQu6JpUg68dJDWpyVVvOEg2qXqVYaYOH21dmBNVNXfblqcuqHJ943v3JKuVPj3P4jbcb3fmY3vrZ/FVy5vJnE2Rx3nN5/3qIda0diJT8XxWqbCMTEAkeo6ulFOOdi4DRVTaj8qph465nYItsay0vOxujU76uqVwQl8hrNsOfreeAqVY0qRujogJ8CVSuUKrP5rSYdkqqmVvAUE/pzy5KNPf76qMeO/Jy+idzLnsDNZ78DnVX1w7DjpTBj/0Hs978CVzpOTHfkTayUZx91uhLunKsxR+EKLFrZFOg9pmW3SXO3rZzYoPwhnpvYnGDe+tSk5GZpmemLxGpY34GlTczFnNFfYGtKFdxYrlummu/K2qeccGa1RhXLlEotlRfM1982zNn+yYrfVmzNy53/3DF3ni8eqtphyAPqXTul1wEviBrw+U9nF93cEwu3r1l55x9vr8JYJIOLg4kgIg8Bq1V1YBHOGQF0UdW5CbavijmF22M536ESf32BbxPZgIhIP4wdeBXwgpqSuVe7UL59V2DbmdUabXukwaX1RaRUaF0K+1dfWRBYGljz+/mqOtvresUJEXkCEyytH+GIq4FFHO8GJmKMvWXuXu7D1s2O6sSM3TnVMKeqD1sDhgD3qOoJw5s/cGROMO/vyinlPMOJOcG8D1OTkm9oPT4jVHbxdsxOCqWTZWAifsfhxvJZ1RuffcnBJ9c5pmKdcgDrcrbmfrtm+oahy3/lkprX/HxEuYbt4tz+8PR5PeK1OSAQ8PkHUrCi106Enr3XFnw1b+TqKVOw+TnRikUxISIziWGverQ/GNM4ODvB9oKxjK5lV2pZMsZS7a8JpDg7RuFkLFAwTlWjlhUU0+AZBhwvyMZnG1+//biKh3qWHt6Qs3Vr15nvf7Eie+P/aQwx6OKAYzXOBb5R1Vsj3vNhzIK22Bo5VFVzHWOgP+ZEu1/DypiLiaaOwhhEY7AU7kWq2vf1Jrf1PrxcTX/4Z4SeoXwN5peSpAvSMtO/E0tNvA2bH+djOgkzsBSKLZgQ/gkVSpU5+aravlPPr9GkStWU8ikAf2xenDVi1aSlv6yfndexbo8KSVKqbpyv4MK+i3uOLvo3V3SUOBD2QzSv2qksVp/0lChNZgCnT9r4en1MEKYxRk0cuieD01Fpr0+UTu0mrBlFcSBEnN8Y2yjfgHnitmER9UG6q0Z8IRxUumKX6+r4TqucXPbMM6ofNTw1Kfkb4POzf3l6572LyDWYkZ6EUTbvVtXMYc173Kyq3dxGHVXVP7Ys3JYspc7v8feghtjm/TJVjUsn2l04r+c7wHnqUTLRtXkBU1s9EaNLvqqmJt8KE1p7CaM5qmtfBysX2AX7Pq9IleRXPz6py80pSclRhVeCqrm3Te83fFX2pmOxZ64pVoN8ClAN23xsxDZJfwHlsEXq5IrJZaeWTkoeszZnywhVXS8iNzatVP//eh99nU925XlGYi7QvM343nE98QcC3MbjG6JTJ59oPT6jN7bg34dFufqo6u+7+5liKUKvqGrbIpxzE1BbVZ/ejc9LxSJv/4epgidhFMDnge+jUY9FRA4vV3P6fYe3nr4xd3vLFlUbfAx8mJaZ/mdYm3KYgGM7bH54H+g1pmU3BdLzNXhzKUkqA5ATzNsybv1f8/7auuyckaumDMCetYf/Keqzm//GYlH842I4MhdiIkpHYFGjj7Hv6HHMCXOrY3mE2t+P6ZRMx/Kp89rXPWv0NXVOvTdWhGfxjrUT75jePx+jn87DaK5zsIjE0Ri1cS42lkP1rE9NQipVS60wNieY9/nmvB0hGvxXTx1166Yjyte+LMZXkHHtlF7+GO8fUAj4/K8TVtorApuA01uPz9iAaVxcjKWbvRlujBYVIpIOTFDVz4twzk/YGhavApPXubUxI/c2jNKu2JjrF8u5WSm5bMvTqh39sq9qw3J1y1RfXKdstVHA4LTM9M1h1z4BW8sOwp6/B4FPx7TsdgZWkmxn+eFF29dumrd95eN95n35C/Y9dlQrpfaPwM2Z44GequpZAUtEQpv5gzER5edVdZpjB7yDOe8fU9Us1z4FSyt5EpsX7wWGDD7x7gbVUit4OndD4/vVBYFPRq+e2gSjVFfD7IDx2LxxLOa8m46lOYGlOp5eJillcZWUcl+vy9k6LCeYt0hEmpZLKj/47voPlk+SpMOi3P424NT0eT0SSin5t8OJG2di5Re9MGrOtpWX3vPngDOxZ7Q0FrwJ7EmgbjeCbUdjyv2x5uBo5wrmvGqPsQUFE9x9Hvgs9Ix6oXaZqgPvPrx1/qbcbe3OPujY97AxOzYtMz1kayYB3bC1KQd7RruOadltAfBQUIP3JklSTTDW08/r/97StFL9466e8lJHrErX1eoqB/0TCHMEHh0tkOHYj8sxwdsBmPNgE8ba7YI5YL8Ka38q5rh7HnN+Htew/CFvvHTszQ8nubKtXsjKz1l1xaQXJ+YTPBibC87CNBFmYlUu6rt+TMXSwqtiDISjqqaU/w34ckPutq9UdbuIPHNypbOObFn53EIM4DB8B7Tqu7jnP5buFY4SB8J+iuZVO1XASpTcjG3awAbrEKDrxA39dhoHIlIP23ykYcZ2f3Vq/UWBo+OdFmtyiWhfHvhBLU96t+Emu+aY0XIZ5jWdiilLF9iA/HDaIxep6vuyq/Z0CIuAy8759ZllmJfweMybeCdWR3nng146KaV2rTLVpreueXLX/9Vo9vXlk566Cqimqo+JyNlYPtmN0aIoRcFXpvrbCpvI6+QG8ze+MH/UKT+v/+vHnGBe1PrLYhU2jsAWruuw6McMbAKbjzkRahMmtCQi9wCHqWoXEfnr1kPPHdOuli9uZYVPV/w2Z8CSsVUxRsgMbFM01f0lAW0wj21l4CuM7ZCpHor8IvJWm5rNcjofltYWmxzD8QtwTZvxvaMKQx2ICPj8LbHob7jRuAhbkN4KW5gF0xh4CEtB6AN8V1SjxUX2u6hqvAoQ4efcC2Sp0ep3G25OuBirtNEYYyYMwYztneJRAZ8/BWMr3OpxmSHALa3HZ7TB0qCSsejmvZGOvWqpFZ6pXabqjc81vvGiudtWzrz7zwE/YxughdhYqQPcpEVLk/JEwOevhs3HFwCl52xbuf3F+aNOXrB99RWq+lO080RkLDaGS2ObiDRsU/QWtrF/A4sSvaimhp2MGRsdMOfEzf2Ov7XF4eVqxhSvzNeg3vx7v2lrc7Y0wqKVP2OG8lTMYGmMjePzsOdvJDY3FtoYisghgnz36rH3/lgtteKtFBS8y8aYb49fO6XXXjFU9gc4Bfeu7u/gsLe+Ae5Py0zfqbPj1qcOmEE6CnhZYwjiRYOL7H+sqj8U4ZzpQDOv+bmIn90AW7faY4y0Jdg89lE4uyLg8zdW1c+lsLjqVuC21uMzPseM9CuwzepjwOuRwY7aZaquaVb5iIF3HX7Bm63HZ1QHeqnqBSJyGJYm8bSqfrQn9xTW52bY79NYVbe/v3TckSNWTSq1LT/76Gjfm6OKv4JpMF2AbTQEW4u/wZ6Lq4A7QlFrF/F8FivPO6RRhdrTnm98U+94aX7TNi1c9chfQ7KwIMJid/3QmrweG8MXAsdgqUijMFupUH65iNxyUErNy2+r27ma6084FgA3pM/rEbes9IGEgM9fF6PpX8YuoeNNWNCpR1pm+k7hPrGSmg9gjpuXsUBdkSpj7E6wzf1Wd6jq/8VtHPs6yVjFj47YBlYw8e30yEBFwOe/N6jaJ6mwEOok4NLW4zOqYmtxDSygdFskQ6Nictk2tcpUGfzE0VddXDWl/J+tx2c8i6VSfCIiN2O2wWW7Mx9GIuDzl8bmlauAqptzt69/Zt6IM6ZuWvBcULVQWk8IIpKBlX0dizkFb8Zs25exdJ63MRviAd1VJvktrFLGZ8BPPRpevvTUakfFFdd9eu7nf/y4btZh7uVkzOHyu/urgY3jNtj+bjS2Lk+PtPvc7/htq+pXTmhY7rjbMGdDOD4Gbu27uOceV+VIFCUOhP0czat2qox5pJKA38MdB5FwVMSOGKVuOBaFTFicTURmqOqx8VvubF8XGKCq/0v0nASuWQpbbLtgG648jLrca+ypD9fDBp+ndkdWfu6O9lP7p6zO2ZKNbcLe9KJfikgbzHg/SVVXiUgZbGCfqarrROQYbDA+oqqjdvdevvL5K2C/w/mR7+UE8/5MTUo+/4LMdM+8QxeteURVr3GvhV1GSynMaBHMyfQsltucJMgv/oaXflAxuWy3YyrUSU2R5IN2jXBvo+WX9X9tTJ877A6MUp2KRUXbun4vZtdGY2G8e3bf5U9lklIe+OzkBythkZNc4Ls243sXCxXw34qAz38UFlnehJVki0oNdk6AB7GUlRewEp4JbQhE5FysqsNdifZNRB4HZhWXge6uWQ1jw3TCNvJLsXt5b0zLbi8TPZrLb+tnb+w157OKmJFyrVq5R6/P+AooHaJ5itVpvlRVb3av78UMjHaqGlUENB4CPv8ZWBpA5KINlobxRMgR5NHHvsBwVf3Ova6COUtvwTYGr2ObmRYYG2G2iLSoklzu1X7H3zpqTc6Wrg3LH1JWElC3f2rOsO9/Wf93B1WdLybU1gYzUBpjZdpGEmWj4dHvM4Fn/Q1uuOK4iodfhNXlXgl8eu2UXkWObh8oCPj8qRjFtzwwJy0zfWG0to6dcx3mOJoGPKdWPSchiJUKfLYojKSiRjoTuJ5g5cHuxjZcKdim9fExLbstxe7LM51IVfXRvz/KnrJpQRL2nD+qHhVmRKQ6FlHvpKpfuGMjMafBz862+Qwz8p/d3UiwSyt7AY+SxTnBvI2pScnnp2WmT/Y619km/8/ed4c5VTZv35NsZZe+9N57LxteinQC0m0oKEVApYkgIMEGQmjqKyBFUKRjl04ERKVmKUoXkN47S1m2Z74/5gl7yJ6TZGH5+X6a+7r2guTUJOd5npl7Zu7Zr/1u1Tr9BuT7mQ7J3JsJ1cKTmROJaGbLPFWvtshTtVWx8KhiWYPC8+mdX4uLCTdTeu2dNQri5KZC9DfcjkYK0hyNvf58F0Q0l0B73io52glxJoMhTuE6+/F3MlIj/4+Cw2LLDykFSQKw2+q0G86LjxKoU5l0m5i5tr/3RqL+35KZh/h7jB/nDIMQ/IMhQbbbkI5IH62NHtkRQvTp4krirdu9934WkcypNyDZhmv0nj2SsqvBzFxQvS4GYBmA2oogbw5x1F8wysD1Bw6LrSiEzKjguS2VXSvMZHrO6rTrBkOJ6EUARZl5nHodAtFpex1pwYcaAAZAAhc/E1GuYDJvnVPtlSmXEmMnV8laJMVEJp+dKr65sP3kl2d/7c7Mm0lKkVtA7Ov6kLlzFaRFtk/7RGWIrS8QUrRj53wv14FoMdwBsOLTM+/6VbKWmQgQCP9AqEniRcjDvwMS/TPUNVgVPSorgHqTjv04Z3jpTo3bxozzqx0kEVWGpPw9mxn3rXP+UEjq8lAAlT6q2MVVM0cxr6rvv107vPf9o8vreYs4kog99QdQxJ3dQESvQSaUkep1fojzv8AopdEXfrLYvoFMSg9Ak4a8DUCDVjqOhyoB2M7M6ZTMlHNpg5QbbIEYLznCTSEH3iv3dONq2YplS39NyUXVIxHiUhIWPfv7x79AJrWKEJJmFST6nWHFXBWpWQGgCYuCdQAPCRJ9iyEQlfXZkLIVw9/EYbGVWXFpV6+z8deL9i/Rqq83g8jjOp9ADIJ1mXLj6c9fCGK0dMsbki37l9X7hRtF4dzjY+rJtX3XXP5jjo/znoLUOvZRrwkSdX+RVd20IhVGQ3qq/5XRe3dYbEUgqcLpxpUGvaxOu67xRUT9AJiZeZrH+8EQsvd1ADch0UArgGM1s5dwjSjVvkG24CwZUsb/8eLO7rPPbCgJ0aVwQSKTqwHseRini4hGQGrCDfUpAvANlfbbGkIKxkGyi34z+k1Uhk69/55Y/XH1bMXfbRJVaa0RQaVzrUwlEDzObYIQzCMANOxeuBG6FKrvtRXk8bjLtwYcmFvW21qgSM+ZALppove1IGRBM/U6FOK43YNojmQ4w8JhsQ2B9/a1VwFUsDrtugQZEf0OoKHnHExS4zwcsoY6IWUHVQnY1b94q6pP5qtZNCP3mcquA213THwPQho0gDgaqyGORobXVLcDC2AAMzszenwAafAI1C2DBOoMdWAcFlu+v+Iutfzx4o4hw0u3b2V12v36/YjoeYiW1ZhMufH0588GIQL6m0BFFtTob84dktUrSb3s0s6vPju9oSt7KQskoq8gGVBlNe/NALCFlU6Q8h2+AjCUNaUC/sJhsbmzlCt7btPY17OtTruucrqaW4Ywc1eP9wmSMTwCUsK1C5K1EZc/NPv50eWebVY0PMqv9rNunIm/NuaVfXNuQOaGfJCgwSrI95HhknM1V34Asa8zlAmT2QgQCP9gqMW+PST96hqktnqre/uq6FGhkDZurwCI1BzqADCobcw4r8Y2ETWEGOp9M/vePTG8dJsirfNWOa0GuDdcbLx1QkFvOxDR1wDqMHNJzXuhkOjBfadXpWMvgdSlv+Vt0vTETxJtPuLHro1bOe2/qesRROSskPqbC3EaC2jeC4ew5RchqYxFIPWPR4eWbFuzeZ4qkWxQJ21EInx8YuXRn6/tXwSZ1B7K0fCEctr6A7DqZYEEkDEQURQkkv88JFPkU60h6bDYKkPSa5toDouFRMXetzrtXo1tIpoPYDoz78jse/fEZ1X7fFgsS56hfuz6gdVpf9doo0oT/x1C8o3WvP8kJLrRVfNeXUh0pa92DvQHDottAsSg8Ia/AJRXnS3c6Yb5IGO2JYQY2IK0cZwXklV2G2mqyRUABOUMjrg9u2rfapFBYRnqkhSbHJfa/Y8Zy5I4xR3ReGRVdbWGLIOk7S7xtX8AvkFE0RAioRDEmf3RPUeqCPlrkPpi7Tq2B8CbVqf9Zx/nDob0JK/2OO7d41pB39Z642xkUJhu9gHwgDFfzOq0G+oKkeh+9AXQnJnPa953Z1L+ol4TRHisFqSW2u9STZU5choG2RIajLA67ZM09xCBtHE7FpKtCPW6MKS0LxWSnXMZovFQGcDJdvlqlelXvKWhBpERVlzafXXm6XXuNXlLZjgKJLpPPwBozBnrshGADlSgrhvSxDU/1AbqHBZbFCTS/izSsmaTAXwN4HWr0+5VaFgFtYI8iefHgU8qd29XPrLQCj92XW912lt624FELPIsM7fSvFcYQoDV4jTR4IKQIN0cZv48I/frsNg6qmO9IQVAEavTfkldjyBjsxAks/O/kFJC99guAMnMSYCsyXFqvwIAjk+t1KNumcgCfrUBBdLmvv77v9h24t6VbyFZvBkOYOiBiEYByMvMr2fG+R4WgTaO/2Aoh3cZpG97fQDDVarg5P7FW6+25q3xPYTh9oQVwNZV0aMsbWPGeWtnkwMSOXtkqMEdCWH9tH+5AOSulLVQqTb5qvqMxqWwqwARuWtRUyATtudffQDJikjQvn8ZwFqSlpTu93ZBvo/flZMVb3DOB/6mVurxbNnIAj4/96brf86yEl1CmkMRC0n1Pq/+fweSLnoewAX26Cervrd6+UKyj3kid8VI9Z7utYiERNAi2ZVyakjJdpU2XN33SPWynmCpiW0A6a/7Xmae+98IZfCNIaIPITXJPxPRFkjqYSjEOfXUBckBcURKOSy2F3xEMDNzLJshqf6eYzk3gNxvle7QvFgW3zb1hqv7B7QmegrCe+mNs0h1nfYkQmbabU2JaB5kTLvfWwPgGxIBpZ0G50z3t6zOm11CTcaBGWUolBl6cOG61jQ+m7qvVHXt85DvNR8kMuke21c8iTXlqPRqk7fGOxkhD9yGSoQ59P1EV/JYf4/z89wuIuoOYBMR7WFmv1qTBmAMZo4B8DSJZsAQAO+pCN28tdEjh0PENbX7u1PlHQ6Lrb3VaV/r5fR+tYrzFyoTLt167P4zkymXj+MBAEMPLvilNY1PhPGaXFGd+xMiStK8nwRpobbU4717AA6StJ28ZnDOB/4GFG9V8cl8NX2RBzgff+NNImoGIXCCII7EeaQ5FWEQEtf93m1P0p2ISptAto7563hqDvhEKruS2uevVWfGqZ8euSOPFqo06n0AC4noyYwERAJIDxatsM+JaC5EF+NzIroOYNLa6JEHIHabZ0lwMIR0qOaw2BpoRUZ1kBOiO/LIUHZidhisyZ3z161dPrKQz/Ocvne1oca+1htnqRBxwHCViaDdBkgL2X2a9xwAhhLRc5ASQb/W5IU1+veOCvGWEAgACFp4btOK1jKfuOepa0gbt6EQzS+Hen3Rk6hTgYC2dXKUGlsmskCYUXDOE+79klwpa47HXfapk/AQGA/5Lp9h5m8fw/n9QoBA+JdARd06kNT3Dz1698IUa94axbwMiDyQ2npDoT/IBJfO6VBRkHTGhsFfTqSJ2NwFcF3n7697qUmHXMzdTN7biuFW8j13r+uNEIM9GTJpu/+yQZjQk5BognZbGESNda+6F/f7syHpp/0gWQFJHsel+zsVf7WOPwRCCrsKQYiDFIijFAZhQ3NBJrinIbVY8QDiiSgBImJWACLAVgbAuZZ5q8YGmwzFYO+D4M5CABJSk64NPTT/zqn4qzkY4x5HRGIkxNHd9jBpagGkhyKQZpII+nQCsOivuIslykQU8NazuQtEjNDhZZ90Y1kZHRHQH7d6YzurOjRVnes6JEtGO5ZPhJtC8kLKb7ziXmriZcjY+wWSzeM5zl6GPM4LIOJG2m0nICmD33u8fxpS2pUdogngdRwDCE5ypeT1RiC4508zmdzihS7IUMsO0RQpAIl6doGM4wTIWI6HjP1SkOyDXAD2No+qkiHBRyLCrtgTZ0Yf/TY4GZN8H5BBMPNNIuoJceQa6dWwB5BxqGjUa0SUF8CAwmG59jNzKc/1WPM6CMAsh8VW0ot+itGabIaQC77WY/e4dqfpJiD9enwD4tjsSXaldAk3h3jN+AOAOykJWyDr8iZI1o3nOFsLWatH62zLrz7TATw4jk9DUskXQEoPvI7jY3GXSvi6TwBgcA4AJdT9sDo+H8R2yAYRB46AWpORti7nhHQtqgAgrnxkoT8LhuU0+et0AICLOXHCsWWXt9w4koNhz1QCAQCY+TtF7Nsg9k8AjwhFxCwHsFwF6oatuLSrZvv8tY26PACiPzAEHmShB3JAdEEegMp88Gc9zq3O4Tb7biH9enwdwP5QU3AsgNa+ntU7KQlxkNKDjZASAsKD46yWupddkJIk7bZ1EBHWmZB1z/3+ZEg5yEvq3Cb4GMtXEm9X8YNAQCq7SqjPnKq+gwhI1q47gtEdMndo12Q3CVJe/Xu0Td4a9wDj4JwniAhXE2+fH3xwHt2gySGZXWqgiP0XAfxGRPuY2Z9s50xHgED4l4GlXVjvH+oM3wygmLcBwcwdXy/ZttTUk6sZ+pNTEwBhRNREvXbrEyRDf6K6ChFF075301stIxFVAdDr5L2rrQ/fvXiyYtaCpbx9vhNxV9dBoosdIZPVTchk9zOkDVIxiHPxF+sIsymGvo5OatB8kjZO7wF4in302P7JYnsJ4rR5RdOoShMmHltuV9cmiOEWrv5egKRILoJ8vw0h9adlICnT+wGsBBCULShLI1/XAgAXXInn42MTtt08cvmPWyd7n4q/GgXAQUSt/RFxyQhY+us+D2A9EbVijQp/AI8GFb3+bmXd4b8Hm4KO+1r4XezqS0R/wNjYqARgDonwoZbUi4M+EXAMMp602+4Ylb+QiBS1A9D701OOgvNy9Es1kTHjxcw4cOfsBIgTPgZilP8BGcsbIW0Ki6r7i2EPMSYi2gwhEE4z8z6PbXMgRGA5SHtXr9k3DoutDDQt5gzgmlSxa21NuqQZQgaGq39/gHRbiIeUHDWBZDaFQMbxCshcFR5kMhv23tYiLiUx7kby3eMLz20KPR1/rUoKu5aQtLB6PzPKkLRg5l3qe5tFRC9m9vn/zVClSO8uq/NmGBEN87F70RtJd9uR1OLrORGVAFQmotXqPbeV7UIaqedJBpzyfI81XRY8QaJn8hKAYRuvH7zWMX8drwTC2fjrx88mXP8GMobehNidv0HG8SaI8Q6ILZBOYJJEQ2QORDXeM9I/D9K1ZYgv/RaHxVYOYn94ReHw3GuZuYM6P6n7da/JFQG8A7EtskLa0j0BoDqkrHAfJPLsyh0SWUqdw+v1mNl1IeFmytmEa7uXXdq1eu/t08sgmVJd+RHa+XrBcAC/ENF2VsKuAWQOmHmrw2LbnsKpPsXLmblPFnPotHhXkpHz3xZALSIajAdJvUTo29duQVPttlijTBP1bDcE0HPpha3R7fPXup4jOCK3wb2CiHAm4dpCCHn4CkT09wTS1uS9EKLtPKSLgB75UQ9AHs+SBSL6EjI3tIPY117LOxwW2yRIGZhX9CjSuNdX57etVNcwQYJy7jX5fch4jYGQ/I0hwuH5IZkJmyFjOjTMFNzZ17UAINmVcu9K4u0byy/vMl1OjK11IzmuJ4DvVKaA4Zz6MGARfH8ZwGJF7N/zeVAmI0Ag/EsRYgou6WsfIjJvun5oGYTp9zQ6DkKc8UOQBfx6Zj3AJCI1L0CMlBuQ2uWRFbMWLAsRHnxAtMk9uaWy6/xHJxx3IbX3g5n5NVV71QSieD4bYkglAThGRGad+vzFAIYQUWH2aDPDzD8Q0XkI09yHmb21PvoeUpPuLTKcCqnBcp+fIYtDIoBYIjoAqZ+rAMlKWAuJ6sdo75uIst9MjssFcUi84pfzj11uAAAgAElEQVRrBy99dGJVAQgbPV2dbwrSSIRMFT1k5vMk7SWXElHTv1v05Z+GYFNQOcC3kXopMbYNhN33NDyuQaL7z0GiUm4HIlNKWoioGmTstYIoqI+6knh7j8Nis0OePV2cib+2YvONw29AnvluECejBkRBfDqEPIhSnyedgcTMTETvQSKanTy2JRJRN4gQ0XIies5HVP1ziHCat+95tZs8UNdIhZAbccpwOQvptFAZUtqwHMBoT1KNiCpeT7rTJSokq6FSu/s+3jy0MPZU/NV8kO/mQ4i6/BBIqcu7j8HJnwUxOF9R/w8gExFmDvFKjrux5sofUyHrrnY9vg4x5l3q7234IPUyAhKNoA4Q0bXcEHK8ccf8dVIh0cbSeuODmROXnt+6EZJya2Pmt0i6kDwBUSP/ABLFDANwh4jC2UMAmZkPEtFJSAeC1R7b9hNRS0iZZmFmnmv0GaxO+xGHxbYFD7bT1cMXmvNry6duq/KKMhDnpRaEAJkFERy+f99EFHI58dbTqezqbSaT18n5dPy1m6/t/zwLxEEcDCFHB0Mcg0xpJ60FMycpYt9BRC1YozkRQKYgexCZfdboEVFBk3QauYL0ZMBpyFw7DSKEfj2zHFASwc/ukDV/P8S+7p0jOKIddHQF3OM6PjVp78xT6ytDHOzhEMKiDKSl6EhIVqEZUkJlIiLSmXsmAviViBZqP4/abzIRnQawkYg6M7O38um58E0gXIAm61IRKe6sIRDRCcic8jzEF14JsVUOaO+biArcTI6rA+mG5xWfn/nl8orLu/JA5uJ5kCzuYADfE9FTj4FEiCGiBQBmEFHP/2tiP0Ag/Hvhlzr7B+Wf79Y2ZpxuqxUi+g+kjdAjR5ZVxK45xECpBCElnvJw4vfZKzzdo0xEviV5QtPUYokIp+5dS9h249hLlxJubSTpn/sZEe0G8A4zL4TU/REkml8YsvgfIqI/kcagHmTmFCKaCHGm0imPqwHbHjIhjGXm77TblQgWrE573Fe1XrflDI6Y7uVjv9/Kab+g+RwEiXB0ANA+iznUVDVr0ZKdCtQZUymy8MYnd0w8oNk3HDL5vQCgwlfnt95sladact7QbF5VdG8m3+0HYAJkAVkF6XJRAaLBcJiIpqjv4nd+iA4MemDmDepZmQhpeRVA5sGv36igpEc3MdpORBNUdtIjg0Rn5QVIJ5irEANluMfi+fb2G0fr1c1ZuqFZk4mQyi7+9fqhU0XDo56COBYDIBGCcQCWsii0TyRRFT8EibpOU6TjZsiz+yszX2PmX4joHSKqxcwPtGZTC+3bRNQbUmbTiZkvaPdxWGykdCOWXku681ZUSNZ07aIUYuEhsqjSTJtCxnLjYuFRydWzFb/cMX8de/6wHOusTvtNzb5FIeUNzwJIWXp+a8T75Z7RCtB5fr+4kHDz7Kn4qy9B5svfINGbKMj80RRAayKaCjE+jxpFoTICRcr0BbCZiHZ6fqcBPDL8GsvdCjcct+jc5s/0thFRF4jwml+dlLxBrUc1IM9YCwiZN8Izsjizam9rKrv2lY7I/0CHpFvJ9xLXXd1r33jtwBiSVm4fkQjDvcHSqtHdrnEgJGOwAICdRHQFaWvyThal8jEAFhBRutZxzHyBRLPga5KuNenIM/dYTmXXGynsigk1BRmVFqyErIva76EQRIy6gwlUqGq2ohHWvNWPWHKUmRlqDt6qEU51d6h4AcATR+MuXt5x81h8vVxldTtHua9/IeHGl5Cx+wPE5ngakjmSBZKivFh9Vzs5k8QPmfkMEQ0BsISImvNDqMEHYIgESLq8r3x313e1hzxhddp1gyoq82aH57r0MFDrUUfIWM4OIQAbMbO23GnZqDKd7LVylByWxRz6gH2959apO2cTrrdL4dRzkDVtDSQg8RFLl7KZ6vnfDSlB6AJgEBHtgmT/bmTmU8x8lYhWQBz1dN3NmPkbFaRbqRziB0SdNfb14YU1BnyZJzRbT4OPzAAGWp32+8+1ur9odf9tcgVHJlXLVizrUwXqTi4VkX+91ZlWMqTsic6QsZz78zMbuWGu8hxkMhv+pgmpycnnE25YIW3n+0LImK6QObQAJGg5GRIE3ZeJwbRpEGHOXtCQn/8XCHRh+JdiVfSojyDRKm84BaB025hxuvWWKn1whucgzwiIqDSAHgCegtQxfwlRHdZrbUgAVmcxh0zrXbRR/RzBWRo3iaqw7v0jy/6z6frRdQxuB6AZS32QCTJZDoVkAsxh6UG7HZJq9SOkJqsyxOBuCql5+h1Sc/06gDbMrFuHSJLq/QPE2PhobfTIdgAGQQwIE4Cdc8/8khKbfK/yGyVbx5nIpFWouQqJvHxqjRlvAlAPMrm3AnA21BS0Yn71fhVyBEf0gKZ1HDNvn3fut8VfX9heBzIRboSwmw0ATPmh9tCz4eaQ5RADMp1xdPretSWv7p9TEZLG1QVSh1eHmQeT6Fa8BnFENkNIHIZEl3aov4MPG5lWv8cayO/wvcNiKw9xdhIAbPEhJhSAARwWWygkEhDlY9d3rU77B3obKBOU2xUB2BIy5spDupcsMDJ+SFp9/jixwgtPHrhzdm3zqCq/hZmCzw44MLfn1aQ7OyCtGReoffNBIpilID2Z9xBRJUgNb3lmrkAiQFgfEg1pAomE/AqJ9jdlZsPsHBXB/BhAl7XRI89CVLV7QeqgbyekJq966/CSVt0KNbxWO0fJEkhLJQVkznrF6rTvV0bHkxADpQqAX1pEVdkxuGSbF0xkaq45Jj4uJXFp772z9sWm3HsKMl9sgUQ4XGYyvb2q7og3IMbLfbjHNDPfm3Bs+RebbvzZVN7mKiTCr4OZeR8R5YEYFEGQTKOykAwI9zh+JKOUiCqq8zdaGz3yLiRSlst9DX/bDQbwIBwW2zMAvvG2j1rbiluddl3SnoheBRDCzFMf9j5IOr50hRCAFyFr8iojg5eI3iUA9vLP7z5x78qnnQvUXfjNhe35F5/fcjPJldIOQANWKcnK0Z8MaWU2lpnvENF/IVl38cw8WpENTSBjuQ4kmvczJGvhS2bWVV8nETz7FCJi+vLa6JGVITZOB0jW4l/bbhzds+LSrpbvlXv6Urg5pJzm8ARImcSw1jHjkyBrU0dISrULwPIplXqYykYWeBWS/QQAYObjO28dn/3ekW/zQQj9XZCsrpYAfny3zFPf1stVdh1EMT3dmpyQmrTtmd2fxKVwahQkqvoTxLmrD3FAW0Ccgi0AikPsgb1IG8t/8CNkfhLRBwBCmXm4w2LLD7ErAGCnVRPcCCBjcFhsP0GeAW9YY3XaDQX2VACs4cP+vspergVZk5tBsne+ZJ0yIbV/GICYCpGFXrDkLDO6XERBc7XsxXYMOvDlC3/FXfoKQEFm7q/2DYfYis9ChJpXQp7XQxB7pDsks6IWxLZuBnGit0ECAm8CqMYiRKl3L2UgWbzvro0euQriI7wGKRVKYeafx/71Q9kyEQUinitYL0xlNblxAsAQq9O+XEPkd4TY5nsKh+X66dMqvZqFUNAzJKWVAMApnLr2vSPfrvr91slWAEpC5qiCkFLHMWvqvlVUBdjuQzumf766/9MPT6xqBiFoikLsk+PM/LkKeEyABEn3Q/yOO9CsyQCOPSzRT9KScxOAHmujR+6FfO/FIMGNzUYk1aMiQCD8S7EqelRJiChRuNE+Ky/vWj/79LonjdhpIloO4E3OYGsSIooE8AxkUgDEQPmOfYhzEdEzkKyELkQ0EqKaOo+kL2pPyIA8yMzTNcfkgNQ61YdMWrMgA/gD9tBAUAZIDchk9zxkEvgRKhriaXSryenLt0p3KPtE7oq66U1XEm+tyxuavS2J8VMQwLXpp37atvLy740gk1p9iGbDMgA/OcQgX6yufx/uiSrJlZIy/9ymId9fjImATNKzAcxyp086LLZmia7kGaGm4Ps9eBNdyXe+ubD93vcXd1RNdCXfghhjBSDf/ywIE31dfaYnIRNfa0hErCak1q0uZNK7hgcnvVP+pk0RUZ7SWfJvn1Sx641wc0gdzaa7AD4DYHtcE90/GQ6LbRS8CGLdS010TTi2/JkdN4/9oLddOZzfMfMTGb02SWuwnpBneQtkLG/39kwow2YtpO3VBhJV52oq+2cJhHyYBCEDL2qOqwvgE4gB/QfEoG7GzNE618gJMRjcc8MpiM7ARnV/8R77V8sdHPnV7GqvZMliDknXsz3ZlcKJrpSOkUFhTkitZAiA/a1jxt+EOCgdIU70GshY3r02emQxiJCrrvNwPuHG8cEH5ve7m5rQB5IB9A4zbwLu97keneRKeTPEFHSfsLiWdOfE1JNr9+24eayTMrL2qO9rHYB2zPyS+jxBkBTK8wDegsxldZA2lvNDjD33ON7FzH6TeCYyde1aqMHwFwrVz0NEWrXYPyHtBtf4e64ABA6LLRhSGljGc5v7+dkVe/zsO0e+qc4GNcJqXTynsu78hnperJCxUgqyBi1iL/3t1XFlIB0JoiFr2bPM/Koi2H+DkAUtmPlFzTHBkEj7KwDsELJuE4DzzDzH4/wEIcCaQrIAmkAcoZ8hY/mIdq5R+w9rk7fGSwOKtyqnPtcDuJZ050JUSNZKEC2SCgDiLybc/LXX3lkVIGPZCkkhXw5gJTNfdFhsgyClfrrYcHX/9I9OrNoFISw2AJjAqhzQYbGVcTHPMBHdJxFTXKkpm278eW3J+a0vnE+48SuEwHwRErjoDGCKey5Qc+yPkPV6L4CqSBvHNZHWLco9lg+xn62TicicKzhi46SK3VAoLNd/kJaVnAoJkAywOu2ZWtb4b4DDYmsOcUAN8cWZjR9/dzHmTaO1kqQdYiV/7SvNcXkhZX/dIKTuXABrfGWZkOjnJDHzOLUOf8yifTMI4idYAYxh1VJVHVMUMsazQ1rSDoFk+NbwDDYpe7keZCx3h5D8P0DG8m8e2RAgojxBZP5xepVe2YuGR1XWu+cribcn5g3NNgZis+cEcKbb79P2XU++2wayJleGzBPLAfy6NnqkCRJYqKt3vjsp8bcnHlvx8u5bJ/4DcfYnAPia09rs9khITZocZg65H7CJT026NOv0+rvrru6rCCEv90K+d7e/UcNNDJDoWVghZZUReHBNLgOxU7REv08tDc33VcWSs8yyt8t0TjCTqaJm02VIAGZqZpP7AQLhX4xV0aNaQVi+CM9tqeya2mnnhNssjm9X1pQpuOb0JwAVrZ+sXNSmSrFug7/afNDzeE+ohb0BxECxQCaOeexDjFBzfHZItK8ZM18kqfuZzlJSYIKQAi2QZkif9Di+EiTCUAxiVFuNjDC1vwni2E+GRFTdzKI2Tfr6qugRHYLIvEzvHBqnYUDrmPFfQ0RxOkIMog0QR2OzdmL/SS08BumVAIAjdy/Ev35w/jiIkZGOdDERjWyRp2rWN0o+uXvlpd0l5579pUKCK3ktJOvgaaSVidSBsMa/MvM7ms/eGmLYtfE0IIkoPx6c9IpDBPXck55hmqXDYquYyi6nmUxZDT7fcgCd3SmhAfgHh8VmgjzbvXQ239oZe7zPu0e+cesJ2LXGpcNiy7rx2oGW66/uHzi+wvNWq9OuGxHQgoiyQiIPPSDG6zwA37OfJS8kadbtmLmrimRsZ+bqalsLSOR9hTp/Rw8HwQQxPj6EjKEQZu4ELyCiaIgh8BnEePkPJDridkJ2MXPyj3XeXBduDmnh5VR341OTSnTe9VFhiKPRDkKyrQCw3HMuc1hsX0O+p3RwP/8zT60/vuLyrv4A1nkaikRE4aaQg7Or9bVFhWQ1Dzu06OUDd86OgRCiU5h5LRFtg6SSvgqpI3/CPVerrJAvIQbEcI/v0QxxnupCnL/akGym35E2lg3TLB0W2zuQtHI9uAA8ZXXadefFAIyhBDvXQeZVT2zs/sf0RVeSbg8F0JuZnR7HFp9wbNlYAm365drB2f5cj6T9aU+Ic74J8rzE+OO0qDV9HWRO+YWI+kOy36ao7V9Dsv9GQkhuz9KAvJDSpK4QO2QpM3slnkiEPI9CHNymEBJAmyZ92mGxFXWx67iJTOnIA826s7B1zPhXITZDBwj5sQOyBv3EzHfcxzgstjyQqGqI5/nciE9Ncr30x/Qv76YmvM8e2knqvpuWjSjw2pTKPZZeSogNfv3gvFG3U+LdGSf1INlOEyFCl6Ug2RjNNMeXgZAIL7O0AdWeOzsk4uhekytCxryW6D+j95s6LLbsKa5UZ5DJXN7gox0B8B+r0+5V1C6A9HBYbP0h6eWeho7rTkr8G8/u/iQakn32ipa8VURi5eGHFv0wqWK3Glan3WdbVkXKtYaM5eKQUt1FzHzZn3slonKQdSSaRSPjd0hg6a7KSNoAsR1/BGDxXOtJhNQ/h2TX5mBmo+fJvX8OCLk+EjL2GkPWjV8hY3kLM8ctrzPs3VBz8Ghv9jCAxq1jxp9CGpGfE0IyLgewWxvVd1hsb0CIEcPzbbi6/+ZHJ1YNBzBfj3QJNpmXvlqsxeYn89W8Mu2ko8FPV/aeToUrJwAXM7+vMqouQeyYRAiZeD94owiZJyG2jVY3hSC/XV3NXx5IoNc9jndr5yYtHBZbGxfzShORUXmW3eq0j9L90A+JAIHwL8eq6FEFIfU6Vkhq+z4As9rGjNsO3DfopwAYxsyrXXP6d4foA5QF7tfFrgbwlqnP9HREAomI4UuQiPpBiIGywV+GXHOeaQD+ZOYZ6vUOSGTjlno9GsAZSOTgLbXN0yB/FpL50A4irvYxe1eb7ggZ5D3U6wgICdIUMuGZP6vaJ0/R8Kh0EUstriTeiu++Z8YhSLnDMohuhF6JRolplXsuLxORv4rRuTQTQ8VWTrtuzToRxQDowMyXVIrWXohRsRTi7JyGOJt9IGUXEyEk0Xeac7RS77fxzLzwuJa7DZ120ssGeY4eSLN0WGxr4VvosVPA8cg4VG1gI0hUryKkT/oqAJ9bnfYr6jkYD4ledVsbPTIJQhK9hLTuKdchTvYYq9P+wLhQi1sjiIFSFxJ1nM/ehY7SQRkO2wA0YebLRFQVwNvM/KzaboYsmHUgpMhKZl6ic56N6jPWBfAMM//m47qrIAv5FvW6GNJKl+qUyJL34owqLzf2Yahg0bnNVxaf37IdYpysYp3OJURkrhhZuP2kil2/9yWgxsxbW8eM1xV1I6LqEKFFtyJ8VwiZ+Rkk1bkBJHI5G9KWdhmklKWx24lR3+cXkN/WMNql9s0CycByj+Oq0EmzXBs9sggkTdRbS91LAIpqa1AD8A8Oiy0SEo1+FpLVchoSRVxpddpTVUR6McTg/3ht9MiGEEdc+xzthJQtpWvdqhzO5yBEXII694+cwVRp9Ty2ZObu6vU0yHhdp163hkTT34cQDfWZOdbjHEUhc0lJCIHxqt6Y0uxfDPKc12YpSQyGkF/usZx/WKl2SU2jKlf3du+p7OLuf0w/dj357lrIWH6AyNdcL7etdMeZDXNXeMaPr6Sn1WmfZ3DfnwJwuEkUIvoV8v13hjgNwyHke1W19v4AKcewuW0lknLPZdAhj3SuVwgPEv1FIMSLlui/4bDY3od0lvKGCVan3VDwNgBjOCy2CpDU+/qQktCtAGZanfbDak19GVIy12Nt9Mj9kOdgICRDDBAH9CsAI6xOezoyQAXGekKCU79AxvKujGQtqPvYAFlrNimb7pCWBCCi7yH24H8AlOD0Xcrc5TDFIDb2qwAWspeUfCJ6G0KUfaRe54bY1U0BNDCT6fbXNQdXiwgKzWp0DgDYHXsi9u0jX++DaqXJzMcNPmO1xTUGbsgVEqnbacINZo4jojxWpz1dO2USMdm9ACqylJOVhmg5PAn5bd3dKcIg6/QnECKhKYt+k/s8AyCkbUdv867KoKqEtHFcG7Lu7kbaWN6/NnqkC7Ime/VFAJS1Ou0Zyhj3hgCBEIBPEFFBAIvm9WwW/GK9ckYKxrcBNDL1mb5XpSq5FZtzQPo0L/VMUcrA9etASIyGymggyARXQbNPSYhD05CIZkOYus88zjMOkvI7BuJMPw0hQ1YbOPQEYUlfYp0+qxFBoTm/rTXkqkmMdK8YsH/u+8fvXY6HRPmCNH/ZIA5feQD8edW+2QqH506XEaKDjq2c9uU691wUwGJmbqh57zuIs3gGYqQ9A+AzZm6gtk+BZJocBTCIVdoUSW34JABPcgaUmpWzWgWaNMuCoTnpi+qvVvHloMFHXWAAjwYiah9pDps4r3q/kIigUKNOLA4A7a1Oe7J6ntyKzXshBOBGb4aBj+vPgBBon6nXz0EW4/c0+4yDtCl1941voo2kqHF5GKIjUgsyfm5CSE6j2vBaACZpo3ra802p1GNE2cgC433d/5n4a4df2TfnCzw4ht1jurC6l+IVIwvf+qjSi8V8fiHANavTrqvYTURjIDWU89Xr3BAnpA4R9YAYWocAXGIp5QqBZAPFQZyPmcrIMUPImFuQdncZMS6jIEbL/TTL14q1DGqfv5bPLj6QbCLdevUAHg0qc+e/zaIq1xhasm1N0qTqa+ZYBtDV6rQvVU5BY8iaXBMS+Z7PzKce8vo5IQbzE26Hn4g2AOipyYAJgmQG1obMHw2YuZfHedpB1p7aECKhP8Qgn8kGejtqDtliQCyGfV1z8M5sweG6Kc9aLD63Ze6i85uP4MGx7G7ZWBYylrMOL9Xe1SSqkk9VfQDjrU67TeeeTJBxWp1VzTdJu844iJOxEeLETwdQVdk4T0GCHHcgpMpedVwpCInQl5m3+3FP2nsoiweJ/ohvag0ukTUo3LCMVeEqgPyBzMDHAyKqSqAF06v0Si6RJW9tg92OA6hvddovKxK+C2RdvgNZk5exR1leBq7/EoR07qVeF4fYh600+7SDaHwMgBAVo5h5s8d5VkDWnSEQ0rMyRJdnJ3RAUrcfA9HhSpdJO6J0h4ZNoipt8nX/CanJ9zrt+vBd6K/J7hbVZQDErao7oqgvUl+hlNVpTxccIaI2ANoycz/Ne/sgBFFJCIEzEkAnZn5Nbd8IySRYDylTjFPv94MQiO0zQt6qQKa2tLhKo1wVMLJMRyORZy0mWp32t/y9li94iyAEEAAAUTm+/snLA7yQBwCQ7XZC0iLFtO+BpMUOY2YLM894BPIgCLKw9tNkLRSClCFo7/EEgFSSVL83AQxU0QotqkMiddeZeQwkE6E7gNUkKVwPQBnaYwC8q3dvBcNyJVD69DRdhJqC70LSCk9BJtccENHElhCj/w0AXXIER6RjTw1glC7eCRK90GI1ZNK7BpncJuBB0T07pB7tW0gLnd5ERCqS9CaANSqTxC8wcxIz72bmmczck5mrjS3f5W0AvsgDQGW2BPB4wMwrZlfts8kLeQAA1l+vHZxOROsgYnlXIcZ/V2be8AjkQTQkqq2tc64AqZvXYh6AHup5fRfSokj74OSHRLgLQkgNKyRKs5aIRikC8wGwdAy4TZJq6bmNswaF+aW9EUTmVEjbvPMQoy4WYpw8B2H/lwN4rlxkgbfVuX2d0lvZR3uIOJX7Pq8DSFTRxfmQOSQ7ROQJLOUGUyC/WXmIgntFNW/2hvSt/4T8GISaa15jZgczj2HmtgDKN42qdMjPwwNj+TGBmePXRo98fWCJ1unq/DU/L7mY5+QJzWaHOPI9Ic5GFWYe/bDkgcIEiAK7NlugMCTV332PKZDx0Eldt4DKStCiOsReyAMhDiyQcbRDb6wq2AGM8PzcCslBJpNfBFmYOTgRUsp0BjKW3YLET0HGpR3AU6Uj8v3sz/lgPJbrAtjDDwrGudfkVEg24DTId+e2WX4EkAKxPz4novEkLS6PQ4Izs4movp/3BWZ2MfNhZl7AzAOYue6wUu0a+kEeAPLb5PT3WgFkDMy8b3HNgZNLZMlb28t6Uep8wo15JB05tkB+k+eYuSUzL30E8iA3JGN3uOZtvTXZASEggyFryacqY02LMpAW6aeY+RVIJsXHRPQ5SbnSA2Ap25in9kuHfKHZ/VqTTTLf3YQIvp5U/xaAlDPUhUTp+0CyLf111I3Gcmekt683AGiuSL4fIdkgWn/iHcj8cgZADBFZAYAlm/o7SMcJf4KGUMfFMfNmZv6ImZ9j5op9izVLR6YaIJ2f8ygIEAgB+IUcWUJ7e9vOzMgWFlJ5YNMqxyEs+hD2ECl8SAyApBfu0bynN8EBMhl1VxPTUACzl9QcmnVl3bdfXFn3bVuHfNG1GueuHAHpDwtmPs3Mz0DqqZcS0STFimqxBkBxIqpERFmIqBkRfUBEm47FXdp5IfHmdT8+w7kkTpkBEQvsDHHKb0LKBsowcx9m/oqZN0UGhS3243w3INEfPXRG+l6+ayH1cWBpn3UTQBCJ0BVUdHcbpK60PmTS/ZmIyjDzBgijvJqkf/BDoUBYDn+FmDKldWQA+nBYbCE5QyKf9rVfxayF20PardVj5lnskXqcUXgQgVoCIt1YZhFlNRNRSZayGheAZxwWW3mHxTZ4coVu4zrkq30rmMyFAFxgwTKkaXrsJKIOOo7yewBGk6AIEXUjojlEtH/S8RVd1bW9fo6CYTm/hxgMBSBzTGuIM1CNmRsy8/vMvK5vseZLABz1w1fXLddRhOZVTq/TsgZSVsSQdMlnINk+bsyBkBnDIEbhIiJ6H2L49YWUq0zNCImgBTNzZFCYX3W1CIzlx40Ooaag7N52MBFF9CjSuCiA/zDzi8z80NlDbpC05C0PIQXc72UHcFsnu2U+hAxkyPM3uXxkwVwOi62dw2Ib2atIk6dfKtzoFiQb1sXMt5l5GCTtdzgRfaOyoO6DpTznVwBdiSiIiOoS0TCSMqVDu2JPpCMQdcCt81afBHE4GkKM/OyQjMTizPwsM89h5t+KhEelazdngBUG7+s5HX9C7IosihSYBZlT3GSgC0IGNoGkjcdCnI+mKljSHsAsIvIW1PGKplGVb0PWfF9gAA/loAbgH3IGR7jLgAz3yRuSvUXpiPyLIfb1B1B+XkMAACAASURBVMx8JhMuPRGSmafVrdJbk5Mh61wHZj4KYCGADxwWWz6HxfbKN7Xf+KBdvlrB+UNzFEeaff07pOzxFwC/EpG725cW0wG8RETZiCiXWrc/JqKdtsNLZyWkJhmWGLsRYgraAhlfQRAy7mVIxk9zZq7GzIOZeRkzbzKTSVdI2gMxBuUiQZC5wrNccjWkhAEQYrUOJBsBgJQpQgJ2DrXfICJaRER5mHkWhPDPEIngidwhWf+WNVmPwQ0gAD14bfHmnvg+6dLw5tSf92WKkr6KevdBWmshN4wIhO8gzsN7zPxTr6LNR4ebQq5A6pHwctHmcDFvqJ+zwoGVdd8OardjbAoAMPNGFR19DYCTiMZDakyzAKhPwJlKWYtuaZ23JhcLzxMfbDJfSGXXgiLhUbOTXAndAHzOOqn57vfWXP7j6rG4S39AHPmJkPpDI0/lC4jh761Oa0or/fqsfACyeEaWWLQQTESUl0UZ+nVIvVQDpBk9H0EImB+ZuS8RPQHgOxIhrMkABkNIhLYPuXDthiwsBX3sl64sI4BMRSFIXbVX5A3NnpuZfYqjZgCvQ0of9nm8Xw5SOuOJ+ZDsoPeeKWAZVSN78d0QhWNUzlYElbMVwfOF6t87dOfc/XtUUZixJAKrkwG8RqJ6fARSZ1wzzBRctEWeqlcb5iqPnMGRdwDeF2Qy9+3xx4zt39Z+Y0/WoHDDec7FrtQ+e2dbIerMSyGlPboLt9VpdzkstkkQYSkjxENSPvWgl0kEiLEyGtIO9SJJmcN9dXhmvk3SHacbS/soC4ARkFKsgRDSYSYkgjTAyzzkDcshRpo3MKQEJYDHB7/arjaLqnxn8rEVtzLjgsoBmAYp69MSEeUhZUUPgJn/VMR7MWY+/Xyh+hs65a97Bkq4+ZmCFgBYUSlr4ViHxZbb6rRfV8cddqcLQ9adbyFjOgVS7nCncFiu6R3y1/m4QmTB5HBz6LVkV+rqvKHZXgomc151XcPPcSzu0omBB75cCxFgXAJgABur1G+GCDjX8/LVrLE67ekCJoqoawMpt9J+L6xSm5tCxslMSLCkHcROgLqvPQDGMfNEkjr0WUTUDRKEaAdxPPqxRzq5P7A67SkOi22NOo83rLM67Q/dKjIAv+BzLAebzOZplXtezqxSEiJqCNGv6uOxqQKEIPDEfMgY/Pq1Yi2mhplDTjLzICIKyhYUjn7FWyLZlTJr+82/fnRYbGR12lmtL4tJyhtGQUiwYcz8M0l5XCMT6Gq9nGVPtsxbFflDc9wzk+kEM08qHJ77+9vJ8dPCzOjnzb7+5MQadwvD7yEBCj17wo2PIXps3nzfSQbvN4AIPnvOE5shWZImlk5SLwPYRURRGmLmQwBDmbkPSaez5yEZguMhpL8LwCoiasc+utEZYA2EDPRVTp2p+mKBDIQA/IVPJjCD+/mDqRARIc8BVQH6xspdSE1V05V13x7UKb8lOshkfiAaYSIKis5ZtjpkwdYemwyZID+ARBZjAewKpqCOM6r0LTy+QrccjXJXzFksS56CBcNy1S4SHjU1xZV6aMD+L+3bbx6NdU9uWnuciHDy3pULi85vtkHa8bzBzDu8Ge2txIBqA2mXqIcvIYJZemgP4wlCm4VwU+031h2JVJPuJSghLhZRumgIibIdwlwOgkxy/tR2PwAlpvaRj91uQ2pCA3h88Hd8Zlo7TRVB7AlxfLXvmyFdFPSiW98AeOaTyt3DehVtsrhG9hKRnsMme3CWLJacZT51WGyNPI49CzFW9kEyda4BmFs3R+laS2oOytqveMvcVbIVzV04PFfxwuG52+cPzbHtw4ov/vrGgfnl41OTdBdvFzNWXN697ELizS7MXJ+ZPzUiDzSYC0mD1kMcRCPAqAtNB+iP5X0AypGIOQFi6JlJtCTcmAop4TKxlBN9ADFYxkEiPiMga/90ktrojGINRBDXG76yOu2nHuLcAfgPf8doZrbGfQPSpcDz99ddkxUWAHjJYbE1fKlwo37ZgsMfiLQxM6pmK5YDwE8Oiy1M8z5DxBcHQ9alqxDiu9/bZTqXm121b0TbfDVzlYrIn69gWM5KxbJEDQ8zBZ8Y+9cP3889+4thpO1mcty9L8788iGAWiorY60X8gCq9VlnyNjTgxPSMk8PlQGcYH3l9PuRS0XGjAHQRWVzgEXg+UtI5gZYury0gDhLWyDrc1vIOM5wC16FyRCyzxs+fMhzB+A//B2jmWJfk+jlTAHwmo49amRf7weQk4gKtc9fe3rLPFULepYRBZuCQhvlrtAFYitqj70D4L+QINUXRBQLYH3ekGyNF9UcmOftsp1z1c1ROlfR8KjChcJyNSocnvub28n3dvbbP+fFs/HXb2rJA/ftEhF2x57Yu+Ha/gGQDMDRPsgDWJ32PZDsJqPve7jVaTfKUtAl9VlKBw9ABIjBzIcgQYv/anZbAaAuERVQGZNLINkMzSCZCT9D1vJVJF2uMgSr034e+qSPFkeRyQG6QAZCAP7iJygH1AuSIelKjwwS0RYTS8q9J4wyEADgy0hzWD94uVfFXPa2l39x7qgji/JARJwaQdi7LRASIRbA6KGl2tcvHB6lK/4XZDKXHFe+651EV1K+43GX38kdEvlKjuCIXACQkJp8fdXl3XErL+9+7kbSXa+KyZ5o5bTv+MliKwdpY9ceEq05DFFb39LKuJdrZ0i5gR5WQ9Ka56vXqyATXh91XkCY11EQRhUsNZtvqyyEWRBl72FQTOnqurZykKhmQ4hD4oREVFe0iRmnd4//haR29dfZFgsR7jPs+BBApuAiZLHzJTL2UyZecxqAtzh9m8cSkBTidFCR9N23U+LHQBTXddM7iSiYmScQUS/IOH4CIjB0CpJq2BFAzQhz6GsjS3eoFmYOSVfLy8yonK3IE6+XbDP/UmLsBybQzAJhOZuGmILMAHAt6c7+mafWBW27efTZjKR/K8djlMNi+x4S+a8BMVzWAZhjddov6h2nSoVS2aOFqrpXJqJN6nOuU693QsjAX5n5MjNfUO+1gzIYVES3CWS8b4WM8xYAZhTM3mh4kDlLX0j6Z3GI2OJ3AD45c8ORTpPF6rSnOiy2tpBnRE/nYCOU0xPAY4UD0uHAFzJlLJOIq72I9BmBgKzJRuvcVxDRw9Y6KcwgIveaXOteamJ3IjqKtLGcD1LDvARSgjTwybw1qtbPVa6qwT1mf6t0h6yH7p6v/lfcpZrZgsLfyxeavQQApLhSE3bdOnF80bnN84/FXZqVkc9uddovOSy2uhDh5a4A8kIy6hYAWO6l24he+YIbv0BqxEk5cZsgOkkfIy3D5zNIVuRUZk5U+80jorUQhfdukLE2m4gGHW4x4AaEcGmHNLthDoC55dZNS+d8Wp32zQ6L7WW1j2f00gWgv9Vp3+D1ywkgM+CAaAt4w1kYk3QZxVCIePgD51MBpbwQsk4PC6JzlB4K3/f6QYNc5VdvvXmkDmQc/wci+LgJ0qEhEsC7Y8t3eTJncERJz/WdmZEtOEvNMeWeO0ygOifiLk/LF5rj2Yig0CxEhLiUxNMLz20K+enq3hYprlTDri16sDrt3zosthjImtwY4gfvADDL6rTrEuPqe2kB0YvQwyoIGbhbvV4OIQMbMPMWFjHjaRBiZaT6jNcB9CDpdLcCYpsvBLC6TGS+dnOrd28HyYquDrEb1gP4pOGWSdsM7qE/RB9Kr9PZCQBtMrsrUqALQwB+wTWnfw6IEIi39Od5pj7Tez7qtVQtUAyA1qyjqk5EhwFU0IvkE5HJmqfmmX7FWxfydR3Hld8vzTi9dinE0djMHvXGC2u8njtbcJaLZjKlM3q0mHpy9cn1V/ceJtCSd8p0jqmXq2wCgAutY8ZXh0QDG2bE8XgYkCjz/sbMuqlwlKYEXYWZk4moMiQiWQoi5nRK7edupXXI43gzZILqC2B+36LNh3XIX9dImXoGgAEGJAIcFls9yORdCZLGvQbAF1anPUMLQQAPB4fF1hMSHfeGRlanPcNpsZ4gog6QdOendLa1hag/v2lwbLOZVXovLp4lTz6j87sNj4H75/527N7l1ZCx/Dt7KLgvqTnorVwhkV67LMSnJiV2+X3K6SRXyroCoTm/+6xq79PBpqDbVqf9BilxWGb2VpKQKSCigZDMDN2MHSJqD6AZq1ZaRPQJRF+lIoCnFKlQAcBs1nRj0RxfEELqwGwKT8ybtY41yBSuJ5J2F8CTZ244dJWwHRZbFogaeBfIunAWEmFaZXXaM9SmN4CMQ7Vu3QIxzo3wJ4DKj5r2rAzolQA+ZWa91pDLAYzwdEjcKBtZYOXUyj3b+rrOkbsX7g0+ON+9Jv/GHuVyDouN7qUm/pXFHFrK23nWX9137uMTq88B+PqpAtHrexdtehfApdYx48Mhej8NlQH/WEFEuyGtLnWv5U7tZub96jv+E0KqfsrMq9U+kyFdp77UOf5JSFnk1x0KlHt5fKXmhUz64pKbAbQut26abmaGw2IrDXHs3JoK2yHtBr1GdAPIHDgstioA/oD3FPQ3rU67ryxOnyDpWLYMQLRn9h8R5YGUsRq1Fs7dv3jLP9vmq+WzK8msU+uPLL+861vIWN7uGUBYUnPQf3KFRG41Cg643x+wf+6J4/cux4SbQr6eWrnHgcLhueMAXG4dM74bpAuMLzLjkUHSCW4Yq3bTOtvzQ763eur185B5+QkA9VhaQ4ZBfuO6nhlJJIKU7wN4IoTMayZU7Dywdo7iRmXMAxpumTRdb4PDYjNBgqe9IIKssRCNhSVWpz3TNYkCBEIAfsM1p399SCRbT7hpC4DWpj7TH6Z+5wEQ0SRIa7KPdbblBLDGPVD1MLRUx/WNc1du7selvmq3Y+zzRhtXRY96AaKF4BUJqcnLn941qaPeNiKaBSBGb/HPTJD05K7EzOnaSGn2mQtgATP/qiazGEjGgg1AC8WStoO0oOllcI6iLaOqff96ySeN2g250aNNzLj5PvYJ4G+Acjw+hkSq9DDQ6rQb1eb7DSKKhDxjrViEzzy3DwNwg5m/MDjetKB6/4Q8odm8EngKza1Ou6FausNi+wUSbfCKhNRka8edk9NFbCmtbV0DT6Ixs0FEvwB4mUUsTW+7m2CtosiC1wCEQBTsVzHzYrXfcohAlq7gKhF1yhNZe0FYcO5IL7dzA0CJMzcctx/hIwXwmOCw2ApDRD311LXPQMbFI/f9JqLOENX35wy2HwBQw6gUoG+x5sM7F6g70Y9LnbQ67YYdYhwWWykAx4ycDjdSXKkX2u6YqBtEIGmBWo9FKf6xgaRH/Ges0zpWs88rAHIy8wT1ejek3OhHCMlxg0QLaiWk5CIdEUREWStmzTPlq7pP9wgxmb2Jo84qt27aa4/ymQJ4fHBYbC9CSlb0SIT5AHplEhG4GsB/mXm9zvZGAF5kZk9dhPsYX+H5MzWyl/BHUHuU1Wk3KuGDw2IbD+OI/n3EpyaN7bTzw3d07pUg5MQwZo7x434eGkqrYB8zL/WyTwyAdsx8hYhqQnRKYgCUZuaBap+RABL1fBu1vearxZ5Y/kLhuoW9zHEMILrhlkm67TH/LxHQQAjAb5j6TN8KSX0eD6nxuQQhDnoCaJZJ5EFViKE/1WAXb+ULAIDSWfL7W0bhKwLh2ZFBF2Hm4FAvm0dB1KQfdxskb6mSbqyG1Ey6yxOCIWrWhwH00+xTk6RVXDow85lBJdr48zsbOacB/M1QqfVDICl5P0JaEp6GGCm1M4M8UBgNiYKnIw8UvI5lZnYx2N+slMway7rONItuyEfwEEPLbKgIUFYj8kDdSxwk2u92Go+q/w8AMEplGABSkjTM6DxFcrbaHxacO522hAdyQdLWA/gfhNVpPwdR/R4M4HfImrwPonNRPZPIg6yQ5/4Ng+2hAFxG5AEAWPNWXw/41dbUFzmXTV3T605BJrNnizktFgCoRES+SPBHhZEQqhZrkKbgDshYjoBkFUwF7ned2APRRkoHZr7zg+W5yz7IAwDocaTlwEA7xv9RWJ32hZB09dmQLJQLkOejPYCemSSe+DSAWD3yQMGnfZ0jOGKPt+0a+DWWfSHcHKLbVUVlIA8EMEVlyD4WKKLiSYht7A33dcYg47gsJNOvMhE1Ve/PAvCyXikXAGyqP2z/84XqmNV1DW8JHhoTfxcCGggBZAimPtPPQSLWhpHuh4VKs58BUUROMdjN5wRXODzq8xRX6tgggwVVw+wZsokK6ep/M7ofM19XKcaj8ZgGvUp/qoi0+isjrAfwrub1GUjP7REAthGRg5mPEdFUda8jPE+wJnqUmfwTbKq+JnpUzjYx42769SEC+D+FIhE2qL9MBxFVh6TDekuv9jmWkzl1PlTNoBccBrDXxz7HIdoIvuBtzH8JWfxrMPMffpzrYdAe/gkduQXYDkPI3HJqrhkBqYdux8xbiWgiEZU3SC1vAvh2xiBK8bopkwH8/bA67XcggmhTfO37kPgAwExmNtKnKQPAK1GRxRyy52Zy3PWcwRHeugsBvtfkM5BODL5sV29rsouIBgGYRkSPs7ywE6TNqiGY+SxJl4rcqszhCIQMXAjgKSLqxMw/QoQMp8O4s0lTg/e1CINkKa31tWMAfw+sTvsBSHlnpoNEnHM0vD8rFeBDMyVfaI4PIZF2b2tHMnyTZ5lhX+8l0ft5GWlaXpmNigDOsrSH94b7OmPMfFdlCrK6txVEVI+ZbxLRT5CyPz3Rw/JEVMCPe/JnvD92BDIQAvhfQh8Ae5l5h5d9fDod7XaMvfJX3AXdSVAz6W2A1EIaYv/t0xvvpiTEer9lANJ60Rs+hyiw+tV26yHQCqKM7TW8oybAa6oGDhBjpSxL94oBAOYqJncxgPZqwfGECcKA+gN/Us8D+IdBPUMzAPRnZt1aeMXq51CRfUMUCss16WZynC/l6dFWY2FRAMC5+OtfAT4joL/DCxGhHI1BAKbSw3Uv8Af+ZBIBD/aePg/VHpWZV0K6TvRQ2z6ECGbpwd8AQmAc/0uhUnGj4dG1yAM+12Sr086XEm6O9XG5c/ChzWJ12q9fTozd7uM8gPf2qe4e9Xsh2ZOZDncGHzOf92P3nyBrOKCyidRa/gqAcSTt4A4CuEvSllUPgbEcgC+MBTCNmS952cfnWM5iDtl8+t7VUz6I5+lWp/2Ktx3OJ9xYmsKpvsi7exARVm94F8AbROSLnHxY+Lsm7wZQTZNdcBFAAZVNOB1p3Uw+ATCY9L9Af8fx/0TwP0AgBPA/ASLKB+kV7yuzwecEBwBLL2x+7tfrB9I5/xry4Jl2O8YaehNEFGY7vHjFlBOrQnw45rPbxozzGo1UTtTrEMfDX+c7I/B3ggMedDzc0Q4w8ybIBPg6S/uoedBRUm8TMy4ZQLp+1zo4C+NWlAH8s/EKgF3MvMvLPvkh6dZeYXXaYz896Rh9K/leunRIF7tSAQyyOu1eDQwiqtZn3+xZu2KP3/Yy/JIAvO6LiFCf6RAeQ1q/IuyKqPN7BTOfBJCLiLKr+emeingAks7+Jkk3h/vto3RO4ytjKaP7BfAPgj9EoIJfa/IbBxd8suDsphN6pQ4sLQqbW512Q0KRBB+MOvx1rYTUZL3Wr27EQNYvX3gbwNDHVF7YEVIe5g+M1uRLkNaOM9S2yTAuSfJnjDKkFCKAfxmUCGBN+G6TXRSS5WMIq9POs8/8/NyRuxeMShQ+h5fSOXU/Ub33frZh8bkt93zczwir0+41iKeCEJMhBMnjQAfIOuoVKsCwDWlCpPfHMqR0oQQRtVLCsIeQRhpqcRQiXuwLv/uxz2NHgEAI4H8FHwMYzcy3fOxXAtKizSv+uHXi9scnlv8w89TavgAmHbxz5q/Dd89ttP/17XoALdvtGGs4KSnRoiMAKjtjj1YiUT33TKO6A0nt7Od5vB6UyMsxSAuoTANJP9+6EIE3f6A1Vty1026MAvASEZWHLDS91Pk94S0adX+fNjHjHmvniQD+96Ac1f4Q49wbvPWNfwDbbh79tOsf0y6ncOpTAL7YduPI7bVX9mx/78i3z1md9mk+7qc3ZGwsj09NzgdJ807w2O0QgBZWp32LP/cDGScjSDqfZCbaQFpr+atsvB6iYwFICnlZAGDmWEjWwRcQp+FTSK2oJ3bCtyGSDB/R3AD+segHUU/39Yz4PZaXXtg64bX9n08BMPL0vavbD945t3Py8ZXniKii1Wk/YnQcEYVD2oMOPJ9wo12YObgO0mcQpkKy51pZnXbPMZ4OSgz1v3g8uiad4T+B4ARQWxE27tppN76GcCfPQVrgFSSiMjrn8GdNXllu3TSvzmEA/zyQdOWYDqCft3IdJXoc709Jz+7YEzsGH5x/dHfsic4APt1x89jVPbdOrXv3yDefWJ32Plan3agEGURUF2Jf3115eXdhiL3gqXV0CUDvDOgxzQNQlYhq+bm/X1DZuneY/dZicrdzBB4kAxnS+vJjZTfokoENt0yKg2i0+MIM37s8fgS6MATwt4OkD+oQAG28Gc/KiNjOzNX9PG9DSPSkCxFNhLQMjGSDtnHqGCuAbyHigk+raDxWRY8yAWgEITBuAVjfNmbcHaPzGJw7D0Q11uJHPZW/52wFad3mV991lQGxH5KWmgvAl8zcXLO9HkQsrhFELPMgM8/TnmNN9KggSMZDO4PL/AbA2iZmnE8jLoB/FojoKwDfMfN3PvbrD8DMzEZiqZ77zwewkJk3ENEhiMNiM6jtd0dP50HqkPto1ZMdFltOAM0hYmVHAWz3lXmgc/5XAZRn5kwTCyWibyFdE/xSVyaixgC6M3NPIhoN4E9m/kqzfTYkMjkfBu2jiuayVoGMV6MobN8zNxxzMvxhAvj/GioFfx1krfK6zhHRH5DuJD7bhKksm20AqkAiew0g7eR028apY0pASMC7kM4El93bHBZbNYjwXDKAX61Ou5FOg9G5TercrzFzpkTniSgKUlLotzNDRIsgOhNbyaNNtcZuaAqgPqRj0que5zjScuB7kFZwejgLoEGAQPj3gYgGAyjsze5V+9UGMISZX/DzvK8ByMXM44hoNUS89YinvehxzCCIXTkT0j2BAcBhsYVC1uS8EPJgg9VpNxRl9XL/U5CJbdOJaCiAJGb2GqjQ7J8N0hK+GhG1hrRwfUOz/WXIXNmTiNYCeMczU3Nzg+E5IWRhZYPLfA6gb8Mtk/525z1AIATwt4KkneAOAB29KY+rfatBnAbdVlI6+7ud5YYQlrMogMOs3x6SIJGIIZBB/cj9dg3uaQCAEsxsVJec0fN9Buk/m643t5djpgD4GcKWHmTmCh7bJ0L6xy6EQfuoNdGjgiFtavoDcHdsuALJXBjfJmactxTTAP6BUGTWIABtfUXRiWgagBVe1KA9928CaW3YTREItyGLczoiTqUkbwOQA2JMHMvgR/HnfszqGr2Z2Z+SHl/nC4dkA1T0NwNB1VoegESAu0DaRY3RbM+q7rE9pDVcPDP/1/M8RXNZy0DEtZ5GWo30VgD2Mzccax76QwXw/y0UmbVECfh5288EnTXExzGLAcyBPGvdAYSwcX/1TgAWQfrWd2djceWHhoqIfgjpKf/IBjER9QRQlJlHZ+CY5yFtWW0kbVy78v9j777DpCqvB45/zy5LBxFRwAYKKogiIsooIthwwA5YMFFRSBAVEys4gJSFUYkxUaLEjppYiL2OGBUE4yBYwa4/jLFhwYZ09vz+eO/qOEy5U3ZnZvd8nocHufede99F3rn3nvu+58QkrRRXRvM0YAhuGcJhsYGUau8OGHMKLvlxd2/TGuAu4LLd5s7MKLhiSp83mzaCCwSmnBovIr/F3Zv6mpHjXWefx/1buwcXxLtDVecmaNsAN5tmAK4cbI1cVyTPZdNFZCEwTFX/l8FnnsHlcxPgWlU9Mmaf4O67Z+HyO4xK9Dyz4MBLWgGTcDlaqnORfYCbMfX3vgtnFMXsXgsgmIISkanAWlVNWi82pu3JuLd+kzM4/gTcWvxGwKG4m6J74to0wr1t2Qv3UJIqiWNOvC/SF4HhXmKkXI5VDrwJdFfV9Rl8bgBudsXvReQV3EPWTzH7G+MePE7HTYX+l6omLGHjzUboiFsOtdzLkWDqGe8B+CVcduaPfLT/N24MJCvxGN++DBcMPABXOrYc6BZ/wy8ivXFJyV4GjlRXrrRGeLN1wsAhuT54iMix3nH+kOHn5uAefjbh3h79Jm7/IbjlJENxf297JVqDDrBj6+AWuGSM33+8MmIPG/WUiAwCzgKO9REI3An35jyYwfEPA36LWxdcPXPmj3FtBHez/HtgjKqmS1ScExG5CXheVRNlRs/0WI/iXnT4DiyKSGvg36ra03sIuldVn4tr80/cw2AzYDtVnZjoWO8OGCO4XCpNgU92mzsz5/LapjSJyAPAbFVNu4ZfRKYDr6abPRj3mXtwpQrPwM3O/YOqLotrszUuL0k5cID6SyyaFXGJFBcC+3tL+XI5Vnvcy7lkiUuTfe4CXDDleuANVe0Wt39b3PLDg3BlOocle3m64MBLGgMdcDma/lssgYNqRZHJ0dRP4tbaH4UrLeRHV3wkGItzR7PyRv8a3K7Poi/Xf9+1TcOWWzyw70QZvLiyenrgzriH5a9wbw3ysrQgGVXd6E0pmykih+b44LE/Llmd7+CBZz6/JHR8H1eG6+fpm6q6VkR+j5sqNQqXNTZhAGHQoukbcZFRU79NAP7hJ3jg2Q5XPcAXdaXX/hVotcuY1g2bN1pftaHphZ2ObofLdAyAiJyPe6C/IpO3f9lS1RdFZDnu7f5dOR5uMGky0CdRvebyz/x67TQAqvqs9/byt7jASrLyUXy8MvI9bnmWqafElQSegQu++bk2+UqgGOe5cimbef5Og156Z9VnnSvKyj+OBEIV1VOWvWDkfGBnYN9cA+0+XQo8LyKPaPo8TEl5s3464mYG+aaqK0VklYjsyC9rp5+LazYG93B0NPC4iFyZ6K3ybnNnfXqGagAAIABJREFUKmkS4Zm6T0SOxr0kThs88HQl8+vY7PaNWo0+sHWXVj9sXLPrQVt1bR7Xh/64WazP4l5a1egLJv2lbPpUci+bnkki1FiPA9eo6kwR2SgijdRbCu318TMRuRwXeLkaN+v53EQH6rtwxlrc90FRshkIpiC8h9dngEmqusDnZ+YA01T1DT/tH9h3YgNgytpN68c2Lm9YHrNrGXDukCXTtsYlLLkTOCsf0xf9EpE7cAnT7s3hGFcDC1XVbwWG2M8+iHv7Mxg3BXWzfohIJa7m9n7AVHWJII35FRHZHTeGAn5uELx10HNVtbffc0QCoU5rNq2/vUl5wz4xmzcC93yy5ps//O6NG2/DrRE+WlXnZfYTZE9EtsHlS8k6r0nMUoTdNXW2+0Sf3Rr3PbJf/NrpmDbNcLOexuBuWHrV5nedKR0icgXwtapelbYxP68R/lFVfddgjwRCp/+0ce3MZg0at4jZ/Dlw2cBFl/8HWIALSvdX1VpbCiciZwO7xK5ZzuIYJwE9VXVsFp8dh1s6+DFuicIFCdochZfcEvhefeaQMfWL952/CBjod/q9iCzFLVf19UIqEgi1qFKdWaVVpzcoi729Zh5w1sBFl5+Il3BYVa/J6AfIgTcz9wXc8oCkZZl9HOdpXA619zL8XGyesTuBCar6VoI2D+KSvk7CfdeVXNUyq8JgCuU0YLnf4IFnV1zSs7Qe2Hei4N6gh2KDB9598x6btOrZbi06/BM4U1VHFeCG+hJgkrjMtxnzvoCCuLeK2aiuxvAuCd5ceipxM0QeJE1ZHlM/eUsLrsdNM/b7dqELPrO2A0QCoR2BhU3KG/aJG6YNgN+uq9r4eeOyij2AjrUZPABQ1S9x6xkTTif2qT9u+nRGwQPv/F8Bm7zplp/jymPGt/kJl6tkGu5tcaLyUaaeE5E9cMv8MrnZz2gGQiQQGg3MjgseALQHbjq+3b6v4xL79q7N4IHnBqCP9/eQrUxKKsernk0UXx3pZ6r6GLACN1NolLck0ph4k4FbMggeVOBeKPsNHjQGnioTiQ8eAPRftXHt0vaNWl2MSxhYa8ED+Lls+h/JoWy6t6SoTabBA+/8iisVfyibV1WJbTMK9xLvTtz1ueRYAMHUOm+d0ljcQ7TfzzQAKjJY03wAbg1//HEAKJeysom7DFt+f68JWc8AyIW6Gs83kb7cXTJ74xJCps18ncQTuLJxsbVqf8W7mIzErYfdXkQ6Z3kuU3cNB95T1fiSaqn4LvvmmYL3YBx/P6CqdGrWtuEDvS68VlW/yeCY+TQLONibiZGNXB46wI3lgaQeywtwZRtXYMFAE8cLBM4is0AgZDCWI4FQK1y+jqRG7niIPtn70sszOH/e5Prg4eUO6o4bZ9l4E+iEy0LfMUW7P+JyQ7wEnJDluUwdJS7ZeD/cFHm/OrN5qfJUhuOW0CbUvEHjihu6//4pjaswUFtUNUpuZdOPBvwu/Ugk9gVdsmvyClygJwCc7C0fKykWvTSFMAO4MsMb/p2A5Rm0H5lqp6pSUdZgN9z0/EJNzf8bsEhEblPVTNc55fTQ4a3DaohLMJnwC85r97qIPATs3bis4uIneo9/DPcwtwKYa6Ua6y9v+vxFuFJsmeiKm4KbViQQao5bt5+sD9W/jySzN6d54+U1OR/34HF4JrOZvOmWB+MeCrL1OG6q6Au4sTwvSbvxuL/3H8/oucuRNx7XpzUuE/6rFZfNfjWH85vSNwJY5t14++I9ZLdR/zXST8Il9kuqTMoqcDf9BZmar6r/EZGPcX29J137OIfjEiFmlehMVVVE5uGqRm2KXzsd0+57L1HbRGCPvbY881ORsl1xZS6ffm3lzYUKpJoCi5kReK5mVrEk01wmKe+vASrKyo+NBEJbBqPhbzM4bj5dCszz8ppkurxwMHBZDud+HvcddjtuPCekqnNEZAjwZrtGW5z1VCD0CdAS96wz74hoOONZibXJAgimVolIX1wwIO0XUJwuZPYFt0uaflT/Z2cKFEBQ1Q3ejcBMETkiw2UUR5PmbY4PEdzDXwsRkRTnv2Jo+8B7Q9oFdsS9+aj29RO9x08Grh+0aLqtqa5//gSEVXVlhp/rgv+EgdsDjX20K+jsGFVdICJf4Kod/CuDjwaAlxM9KGTgVaAbLp9LvxR9XHNQx3YXX9Cn230Dd93+sdh9G6YOXwSMqLhsdm0krDNFxMvjcT5u1l4mtsaV7vUr5TU5i3Y1ZSzwrIg8rqo/ZvC5wbgxmIvqN5cf4pJIJrznUdW5rRvtcm67xj0PFymbH7NrbY/WI28ELn5t5c2ZJlc2pe/3uEoKmVYSy/T+2s/1tgJXOr0gAQRV/VJErsflGPBdNt1bVtwJ8JVrLcm513k5iSpI8YIOoEOTNucN2mbvt4Lb7DUYV/qx2vKnAqHzjoiGH0v22UKzJQym1nhvvK8Fzs4i50CmEVK/F/6Cljjy1mx/Axzv9zMi0hX4XHMsU4O7WTkKN2WybdJG+4XOO2OHQ3ZqWdE0frFbG9wsCpsSXc942ZW3xyUBylQn/E+XLIlx7LkYmJxhXpPBZJfp+Wfed+lCXL3oZPlM2DB1eNNnzgxeceRuO7Qs23yGdm/g+Q1Thxf64c3Uvj8DlVlcT+rqNXkFcCMZ5DXx1pAfgEsAmYvncMlgk+ZBAOjRemT/HZoeFGxY3qJx3K1UY1z2+bt7tB6Z1fpvU5pEpB3u//34LD6e6Vj2O0YLfV3+O3CQiHRL2/IXA4En85AX7XHcC7qtUjW6ofvvLj+2Xa/Wjcoq4sfrTsDDTwVCR+XYjxpjAQRTmy4CHlXVTNY/V8v0C87PTfmPuPIyhXYRUJnBGqjjyW3NdLXFuFwK75PkZuWJ3uO3AqanOU7lE73Ht8lDf0wJEJFGuNKeGQcCvc9u8ju9MhgNfwr4WUeZ00N4Pqjq58AtQMhPe28K+EDcTKBcPQ70xN10JDMClyE+2f7WuMSppp4QkUOBbch8uj5kfk1+GH5OZJxKPq5tuboOONQrNe3HQbiKSJlMG9+Mqq7GTV/+kSTXZC8wcI0XtNgsL4xnMC6Jm6k/rgYma3ZlSDNKbIy/6+0bwP9l0Ze88cZj9fJCvwG1XHMSVavOM7bSS8q4macCoX2BM1Icowy49qlAqCif1YuyU6buEZFOuLXM4SwPkenNyl3rqzamm145c/DiykymKNYIVf0Ut1bqUp8fOQ7vZizH824CosB6kr/tGEb6KeQNcXXmTf1wCfBgNhmKcdOT38/kA5u06oo0TdbhAhrFYCYQFJGkMwFi9MAloMzHW5rqrM9V3kyvREZA0geOakM2TB2+ZR76Y4qcl/TvalypsmzetmV0TQ5Gw6+t2bT+ORFJFUR4JhgNZ5uEMG+yePDI10MHuGBge5Jfk/fBJWtMZ0Se+mOKnIgMAFqR2fK56s+WAS0yzBNw7UatSrdE5vJgNFzwpa2quhD4FDgxXVvvO3Fv8rCsWVU/w90bf0TysexnjO6Ey5NUdCyAYGqcdwG+DrgggyoK8Z9vlckUyyFLph0Qemf2t5u06rMkTe7ArY0qFn8Fjk5X6UBEOgBrvWmW+fA4bvlCsi+4nX0ex287U8JEZBdgCJDuoT6ZjB46RKT8qJeuHPToipcXJnnIWQ0MCUbDbyXYV+u8DPYX4d4QpnvwyNtDh7dW+3PccqROSZr5GaMNgB3y0SdT9MYB/1LVD7L8fKZjudPw165v++PGNUuTDI2XcMkLi4KqPg98hRunSXkPYIcCz+Tp1I/jgovJgpB+r7XJvgdMHSIiTXD5sM7NMhC4PeCr3GO1gYsuP3zGBw+/nSL4HQpGw9nMaqopY4HLfCwvPBR4JttEqAk8iXvOrpP31xZAMLXhROAbVf13lp+vrnHui4gcBVyxfPUXB5dL2W64eqsRXJby6qyowwcvrsxpumE+eSUTLyb9g0e+li9UmwvsTvKbFb9R6WymzZkSEhMIPD+HpH++y755pVvvAL65/qO5B3m5P/6CW2f8HG6NcqdgNPx4ln2pEar6LG7cHJum6VG42u/58jjumm5j2aQkIrvh/n3+KYfD7IjPBw9vKcDDP2xcM6JFgyY9cbPo7sddkx/EBSX7BKPhYqsgcDEwRUSapWizHy5xXV4qEqnqf3HVKrZJ0sTGsYkVAu5W1WyXC2RUVtlL/H3sgpXvHODNLA7hlgIvwOU46xaMhgtSijUZb3nhzaQvm57v++vHge3I/ZqcaRWJWmFVGEyNEpEtcG/6c5mC4/tNh1cSZRwQVNXqJQw3er+Kmqo+LSKjcA8WjyZpNhg4NY/n/K5FgyYre2yx095P9B5/IvDWoEXTl8U0eQB/MzXuz1efTNE6GfhCVZ/L4Rhd8fHQ7E3DvwtXG32y92blXeCCHM5dmy4EIiIy11vX/CveA9xXWVSwSOXx7tu1PveEnp2GVs0arcCCstGzYjNg349LspXKkorLZv83j30yRSYmEPjHbAOBItIC+MnPmzoR2ROXY+FUVX3F2/wweViGV9O8csezcQ9JyZLT5XP5AgBNGjV4+uCenYZ9dP+4Mzu02/I94D/SZ2z13/V8YCUuZ0kq9+WzT6b4eIG5I3HVfLKVyf31eFzC3WO9gNlq4HLvV7FLWTbde2FxIDA6j+dc3KZh8x37tO50yIIDLxkKLO67cEbs9fV+XPA0ldXkJ09S3knuiSaNSU5E/gYsVdUbcjjGOUCZqs5M0+4U3A3yoDzfmNcaEdkRF7XcT1XXxO1ri0tCuV8+zvVE7/ENgfDGqk1jGpSVx66bfhE4e9Ci6a957R7BlY1MeqhBi6YfmY8+meIkIq2A/wD9YwJz2RznFaCvqv6Uok1j3FrOF1U125wpBSciY4GmqrpZAE5ExgHfqerf83Guqlmjd8fV/44t47gGl9Tx4rLRs9ZumDq8E/AakGoa5+CKy2YXPCGlqTki8lvgUFVNlbwr3TF64WYi/SZNu57AncDJqro02/MVkpes8CXgRFV9P26fAEuBQD5ymegLVwowat36jdMaNWwQm739Q+AS6TP2AYAerUeGSJ3c+GOg22srby50FnxTQ7x/e88Al3nr/LM9zt+Be1O9GPDONRUXbDjFmzFbcrzqUZfiXjBqgn2n5/K9GGvBgZe0BmZu0qph5VJWPatYcS8Hz+67cManTwVCjYDXSV3qccYR0fDYfPQp32wGgsmbB/ad2Abohatl+sqQJdM64NbypXvrlU5X4KFUDUTkTFw20yOyzEJbFFT1YxG5B5eobkrc7mPJ01ubJ3qPL8O9FTq+QVl8dUb2B55/ovf4voMWTX8dlyDxIRLPIpkPpLyJNKUlEggJsAfQEfgOF1C6HLg6x+BBGdA4TfCgKW5Kc0RV/5LtuYrEX4CXROQOVY0vW3kcGZRuTaVq1ujdcGUct1TV2CSJTYBzgV2rZo0+suKy2R9umDr8aNzfb6v4wwAXWPCgbokEQk1w3+dNgXcHLrr8G9zb9INyPHTat5YiEsAFsIZkWXmpKKjqBhGpzmtyZNyDx57A/+UpESq4tdqXN2q42a15J+B+feHK30ifsXfhctC0x43veB8BAy14ULdEAqEdcf/e1uOSXw/G/dvLOnjgSTmWveDBn3D/3k7OtdJIIanqPG+Wb6KlCjmXVK624MBLWuCWdexVLr/KFCDAMUD3BQde0vuI6IwvnwqEgrgZBomCCLPJrixnrbAAgsnZA/tObIXL5vwbXNZRVHXDuM4n/jD/m6VD/rPyrVwTknQlxRQpETkbGIqbeVDwqgp5cBWw2HvwWB6zfTAuM3Q+HEnqB5gWuP+nhw5aNP2HJ3qPPww4DDgNl3TxS9ybpbmDFk3PV8IZU2CRQOgg3P/3faq3baja+NWwbQ/4/pO1K8/J8fAdgKTT471p0Y8Ac1R1Vo7nKjhVXS8il+ACCcdUb/dmGW3w1mXmwwxgS+/YifYPAE4A7q64bPa8DVOH7wycjhvPFcArwE0Vl80uaMktkz+RQKgct973PGKmus/ac+Tncz578fpnv172dY6n6Aq8nGyniByEWyZxTILgWclR1We8B4+jcd9R1fKXCPWFK7clfRnVmfrClQ++tvLmNcCYHq1H3gL8Dlfd5idcoH+Ot9/UAZFAaGdcboFBuAdQVHXVuR2PWP+fb9/bIw+naAskTMrtBf2vxQWjT/Mqd5W6i4CnRCRSvbzQ+zkPxwXw8uFcYK8U+zviArl/PCIa/uipQGgv3HfJUKAlrvzlrUdEwzlXg6hJtoTB5OSBfSc2x72F7pmkydtAn8GLK79Nsj8tEXkb2D1RhlkvocsRwPGJ1hqXqnIpGzR0272mXNT5kDXAvqpa9fL3n2zq1WqHofvO//PcXI//RO/xDxPzUJNC50GLppf8DaBJLxIIHYrLGlyRpEllMBq+LNvji8gg4DBV3SyPgZcr5THgNlW9NdtzFKO2jbZ4/NLOx/3QpcV2BwDbrtm0fvXbqz59pecWO50ajIY/yeXYVbNGtwc+IX1C5OfKRs86JJdzmdLgzSCajQv2/qx6doqq/iAiBwaj4ayXFIjIg8B4Vd2s+omIHIYLQh7tJQSsE0Rkh71bdpw3tcuJrzeQ8sOARstXf7mxRYPGY9s0bPn3YDSc05tZfeHKS/FX5voU6TP27lzOZUpDJBDqgJtt0C5ZE+DobP/tichWuGWxByTYVw78HdiAq/BQZ14UNW/QODR8h/59j2rbc1ug6yatWvfa9x99s0+rnQcHo+FX0h4gjQUHXvJ/uPKLqXwPbNN34YySXA4CVoXB5O48kgcPwL2puCTbg3sPFj8kCR6MB/rjErrUmeDB4n4XlkUPOv+kizof0gtXMaKxiDTt1WqHFsBTi/tdODkPp/FTpx4gZVlJUzdEAqEyXKLRZMEDgImRQGiXHE6TcKqkdxPzFDCrrgUPIoFQ51t7jN67S4vtTsZlrW/QpLxhy55b7NQfeC0SCPXI8RSd8Hcdz+X/mykthxAXPIBfZqeISEvcW8VcdAY2K/8oIkfipjsPrEvBA4Ane196bLjrsJ0bSPnxuBl6DXdquk3TNg1bzgQejARCqb47/Ui1DjqW32u3KX1XkCR44N0SB8mt9Gmya3IDXBDyB+CcuhQ8iARCzefsc/6RR7XtGQS6AxXlUtZ8n1Y7dwAWRQKhk3M5/oIDL2lA+uABwBbA1rmcq9AsgGBy9XsfbUY8sO/EzRba+7RZiRlxKoG9gaH5Kp9URM7CTRdLtn/S4n4XBnM8h9/1kUnXq5s65RD81RoemcM5Eo3lbXDBgz+p6l05HLvoeG+C55RLWfskTbYCHsrxwcPvki0bx/XH73y06R8JhLJ6EPUqpEh8IjUROR6Xtyeoqp9mc+xiFQmE9gVSJXE+itzXKvsdy5bboB6IBEJbkSJDf8xyNT/34MkkuiZX4Cog/Re4KNHLuxL3pzKRA5L8WA2AO7xlI9naBPh9Jinp67IFEEzWHth3YmPcuuZ0tsbdLGfjVxHSmIQuO+ESupTs9J9EFve7UIA/QtL1zNX+mOOp/CRj/AKXfdrUfV3z3C7ZZ2PH8ra44MFkVa2LZUD74oKcqXTA31KiZJYBy9O2SpOE1tQpfseo3zfe8TabfSAiw3Drh49Q1YTrqUucn0TQoyOBUMP0zZLymyD5kfRNTB2wM6lnBFbrksM54q/JjXDlP99Q1Ql1LXgQCYS2xOX/SXV/XUEOpRz7Lpyh+Buj8/sunPFdtucpBpZE0eRiAy7a5md2ge+kPjd0n9IROBs47IouF+6wrmr9mzd0n7LgrKWTX+SXhC6n15GELvG2xd904/6L+10o+87/c7Zf8DcBF+AlX0vi6kGLptepAI1Jyu8SIN9Lhbw38EHgd6ra5bo9ztxp52ZtR0cCoRsHLrq8Ea6c0cWqmnNOjyKVqGpJsnZZBVDKRs/aVDVr9AwgVdLJVbgSj6Z+qImxvCVwJjD0vn3O3/7L9T+siwRCQ4CHBi66/FTcrIegqpb0DXEK/X202QbYHVcqNRvPAktwlaySuV/6jH0/xX5Td+R9HANEAqG9cffXvW/Z66yOTcoqtooEQh8OXHT5f3EJQf+tqldl2NdSsR/u+SEdv9fuZK7CzR5J9Wx0ZY7nKDibgWCyNnhx5SbgCR9Nnxu8uNLX9Lwbuk8ZjJtSdTGwd6uKFm3aNtqqH7Dwdzue8Jq4f7O/q6PBA/AXjIEcg3+DFk1fgcvquzJJk+twX4KmfojggoHp+Hr75U3Lvwf3/XC8iHTduVnbxsDUKq16r0fLjs8B59Xh4AHU0lgGbsBVYkjkB+CYstGzPs7xHKZ0POqjzbfAf/wcLBII7QG8ibseBJo1aLz9Tk236QTc98Xa75Y2KWt4JnU7eAD+x2jWY1n6jK3ClWpelqTJfFwQx9QPb+Oy8afjZ7wDEAmExuKq7owE9ty28ZYttmzY/DRVXXZC+8DLwGN1OHgAtTCOAfounLEYV/480Qu4KmBM34UznszlHMXAAggmV1cB6d6C+/pCuqH7lK7A3UCjRPv32aLbntfvMem1upTQJYHPcEsH0lmSw+wDAAYtmh7FzXa4CHgOWATcBgQGLZp+7qBF0+vU9DWTXDAa/hT4R5pmy/H/pnwKcGKiHWVS1rKyy4lbP9n70jcz6GIpSlrmLs7iXE5SNnqWlo2eNRZXevMmXNbu+bgyUZ3LRs96Lpfjm5JzM5DuYX5mMBpOOyswEgg1wQUBN8vjoaq0a9yq6737/GF5HSmfnMoSH21WEbeePFPSZ+xnuBkIp+L+3l/C1aY/FjhU+oz9IZfjm9IRjIarcMt1U1kL/M3P8SKB0LG4pIybEZGyM3bov9uTvS/NdvZMqXgVfy9KcromA/RdOOMe3P11GFgIvAj8Fejad+EMX//Pip2VcTQ5e2Dfib/DlXuJD0gpcOHgxZV/8XOcG7pP+TswKk2z94Euo96YVGeDCF6VhUlpmp2+7/w/31EL3TH1RCQQaoZbK39Ygt3/A44IRsObZWxOcJzmwKe4esapjA1Gw8nenJe8SCDUAPgQV30hmW+BHYLRcEknUzLFJRII9cGVRW2VYPc/gOHBaDjtjXQkEBqOCyqnshH3b9hP4LskRQKhgaSfbXl9MBo+pzb6Y+oHbxngVbjlpvHWACcGo+HHfB5rIdAnTbMHg9Hw4Mx6WVoigdD9QLqfcZ98lHOs62wGgsnZ4MWVNwHdcPkJXsWtAZwFdPcbPPAc5aPNLtT9kmRX4iKWydxL+rfFxmTEe4gNAsfjpkUuAxbgEojt4Sd44DmQ9MEDgKOz6Wep8Gpz/4bka1Q3AKdZ8MDkWzAafgGXJHE8bkbKUmAOcDju35zfJYB+rskNgCOy6WcJieCW9SXzBrlXYTDmV4LRsAaj4QuBA4A7cP/OFgPTgd0yCB60In3wAOAoL2hRl40BPkqx/zILHvhjMxBM0bih+5RvgNY+mvYc9cakV2u6P4W0uN+FTYFxuBI9bb3Ny3GlpK7dd/6f62oOCFPiIoHQ8bhkTOm8EoyG96np/hRaJBDqjptRdCwuL4LiHkgqg9Hwi4XsmzGpRAKhx3G5ctI5OxgNp0rkWfK8B6uRwPn8UuniW+BWYFowGq7LOSBMCYsEQu1xy2P9aBiMhjfUZH8KLRIItcVdk08FmnubXwWuDEbD9xasYyXGqjCYYvI26aOk6/BXtqyk7Tv/z6uByxb3u7AS2AG3but/+87/c51dumHqDL8zFd6q0V4UiWA0/AYwxHsLtDWwMhgNf1Pgbhnjx9v4CyDU+bEcjIYVuCkSCN0MbA80BD4JRsPrCtszY9L6CviG9OXUP6jrwQOAYDS8Ajg7EghdCGyHmyX4uTfGjU82A8EUjRu6TzkVN00rlTtGvTHp9NrojzEmO5FAaD5wUJpmfYPRcKqlOsaYAooEQruRPjHgu0BXu/k2pnhFAqEZuOpmqVwcjIbrchUGk0eWA8EUk7txU3uT+QRbZ2hMKRiDKyGYzM3AC7XUF2NMFoLR8LvAtBRN1gGjLHhgTNG7nNSzA18Crq+lvpg6wAIIpmiMemPSRlwCtz8DsWWhqnCljPqMemPSJ4XomzHGP2/a/oHAs3G7vsKVF7SHDmNKw2XAObgAfqwXgUOC0fD82u+SMSYTwWj4W6AfLgF37DKFNcCNwGHBaDhZwl9jNmNLGExRuqH7lObAfrh1hktHvTHp0wJ3yRiThUgg1AnYFfgJWGRrho0pPV5Z0v1wpSGXZ1CVxRhTRCKB0DZAD9zLuZe94IIxGbEAgjHGGGOMMcYYY9KyJQzGGGOMMcYYY4xJywIIxhhjjDHGGGOMScsCCMYYY4wxxhhjjEnLAgjGGGOMMcYYY4xJywIIxhhjjDHGGGOMScsCCMYYY4wxxhhjjEnLAgjGGGOMMcYYY4xJywIIpiBEpLGIbBSRH0VkZqH744eIHCIit4rIOyLyk4h8KiIPi8g+GRyjuYj8VUQ+E5G1IvKaiJycbTtjCsnGsY1jUzfU17Ecd7yRIqIisirBvv1E5Cnv72eViDwnIn1y/ymMya/6OJZFZLY3dpP9Cnjt+qdrY/yxAIIpFAUOAV4CzhWRXQvcHz9GAx2Ba4BBwB+AbYCoiBzi8xgPAKcDU4CBwGLgbhE5Jct2xhSSjWMbx6ZuqK9jGQAR2Q64Cvgswb59geeBJsCp3q/GwDMisn8O/TemJtTHsVwJ7J/g19fAp7hrb6xQgrbLcv0h6hNR1UL3wdRjInIEEAFOUdW7C92fVERkG1X9Mm5bc+ADYJmqHpbm84OAx4n7WUVkLtAN2FFVN/ltl6+fy5hc2Ti2cWzqhvo0luM+9yjuwWslMFRVm8fsiwA9gJ1VdbW3rQXwf8B7qmozEUzRqa9jOebz/YB5wDRVneht6w88B5ygqvfl2u/6zGYgmEJ7x/u9R0F74UP8l5u3bRXwFrCDj0McD6wC/hW3/TZgW6B3hu2MKRY2jm0cm7qhPo1lAETkt0AJXKSmAAAgAElEQVQ/4OwkTfoA86qDB955fsTNSjhARNpn0m9jakm9G8txRuCCgrfm0DWThAUQTKGN9X6v0S84cRr4+ZXhcbcAegJv+mi+B/C2qm6M2/5GzP5M2hlTLGwc2zg2dUN9GsuIyDbAX4FxqvpJkmYNgXUJtldv2zOTPhpTS+rVWE7w2aHAM6q6PEGT68TlifhBXG6TAzM9R31nAQRTMCIyALfu6Vtg7wT7R4vIKyKyQUQmx+1rJCK3icj/vC+AqIgckOJ0/YANfn6JSMcMfozrgGbAdB9tt8JNj4y3MmZ/Ju2MKbhcxrG3/x4RWeGN4zdE5KgUp7NxbEwNyXUsx7TbX0SqRGRCitMVw1gGuB54F5iVos1bQEBEfr5n9h6GqmcR2Vg2RSUP1+V54hL/rvJ+PZvidMUylmMNw+UsuSVu+/e4PAujgINxuRZ2AOZ5Sz6MTxlFg4zJFxFphZtW9DAuccl4EdlWVWMTGH0OTAJOS3CIBsBy3NTCT3BJjR4RkR1jpxnGeBnY12f3NkuilORnqAR+A4xR1Zd9HjtV0hFN8t+ZHMOYWpOHcQwu+dFpqrpeRPYDnhaRnVX1mwRtbRwbUwPyNJbxHrL/ikvglkrBx7KIDAGOBvbW1AnBZuIeRP4mItNxL98mAR28/VV++mdMbcjXWAZGquo/fJyy4GM5gRHAN8CDsRtV9VXg1ZhNC0TkQWApMAN4Kotz1UsWQDCFch1QAfwOOMjb1oOYLxdVfQhARI6N/7Cq/gRMjdl0u4j8BdgFeD3B+VYBr/npWIIpx5sRkUnABGC8qv7Nz3FxX2aJ3lS09n5fmWE7Ywotp3Hs7Y+dnrgRN114O9w4iGfj2JiakfNY9owCXuCXf+fJFHQsi0vQdh0uOPCZ99AF7vun+iFsg6r+pKq3isjW3vFHe+1exFVtGIvL8m5MscjXWParGK7LsZ/vDvQCrlHVREuP4vv0nYg8BpwlIk1UdU2m56yPbAmDqXUiMhQ4BRihql8Br3i7sl6nJSJdcNOVPkzSJG9TrLwvt8nAZFUNZ9DNpUDXBOvAqtdPLsuwnTEFk89xLCL/FJG1uDcZz+LGQCI2jo3Js3yNZRHZCjcleIqP5oUey22AtsCFuGne1b+G4aZNfwv8s7qxql7pfWZPoKOqHgBsCfyE+94ypuDyfH/9FxH5SkSeEZFUny/0WI43wvv95gw+I97vNjPQJ5uBYGqViLQD/g7cqKqPAajqchH5jgTrtHwesylwJ65Uy6okzfIyxUpEJuK+3Kapqp+bpFgP4iLCQ4B7Y7af7p1zUYbtjCmIfI9jVf2NiJyOq13dNcV0YhvHxuRRnsfy5cDVqvq9iKRrW+ix/AVuDXS8cbgHooG4GvI/895mLvPOuyNwEnCTvbE0xSDPY/kSXO6PTbhZNxER2U1Vv0/QttBjOfYYjYDfAi+pqq8gvYhsCRwFvKaqa7M5b31kAQRT227CRfYviNv+Ktm9uawA5uC+6JJGK72SS0syPX7cuS7ELZuIAI+LSCDuHFGvXT/gGWCqqk6N2f+kiDwNzBKRlrj6tsOAIPDb6prwftsZU0B5Hcfw89TGuSJynoi8r6pPJGhj49iY/MrLWBaRfXAZ08/y077QY9l7UJiX4JjDgU2qOi9m2x64QOASXOWFvXCBhveBibn8DMbkUd6uy6oam8PkahE5EzgAeDJB24Jfl2Mch1s+lXD2gYjcBXzs9fdr3LLnC3GzkYbn8jPUNxZAMLVGREbiovoHejkMYr0K9BeRFt6XkZ/jlQF34CKkI9IkQcqHo73fg96vzboU83s5iZcIDcZllJ2K+5J7Bximqvdk2c6YWpXvcZxAOdA5lz6mYePYGPI+lvsCuwNferMPmgObRGRXVU2VqC0X+RjLfqzHzY46D/dzfYx703tFgr83Y2pdLVyXq/hlPNWEfI3lEbhlRcmusW/gZg6dhRvLK4GFwKmqujjzbtdfUvPPXMZkx1s73ABXXulTYBouqdEmb/9NuOhh0KYdGVOcUo1jb8plH9xbh3W4B+47gN6qmigZqjGmQNKM5eZAq5jmVwMfAVcmqahijCmQNGO5FW5JwvO4nABn4ZIa7qaq3xaoy6bIWBJFU8wmAGtw04rGe/99KoCIdABG4uowfy2/1KrtW6C+GmMSSzqOPX/ErYv8GrgYONGCB8YUpaRjWVVXqeon1b+A1cAPFjwwpiilui5X4PKZfIPLFXI8MMiCByaWzUAwxhhjjDHGGGNMWjYDwRhjjDHGGGOMMWlZAMEYY4wxxhhjjDFpWQDBGGOMMcYYY4wxaVkAwRhjjDHGGGOMMWlZAMEYY4wxxhhjjDFpWQDBGGOMMcYYY4wxaVkAwRhjjDHGGGOMMWlZAMEYY4wxxhhjjDFpWQDBGGOMMcYYY4wxaVkAwRhjjDHGGGOMMWlZAMEYY4wxxhhjjDFpWQDBGGOMMcYYY4wxaVkAwRhjjDHGGGOMMWk1KHQHjDG5iQRCrYGjgC2B/wJPBKPh9YXtlTEmU5FAqCewP6DAC8Fo+PUCd8kYk6Hr9pzSGBgE7ACsBB47Z+mkbwvbK2NMpu7rNbEDMABoArwJPDd0SWVVYXtVHERVC90HY0wWIoFQAyAMjAEax+z6ErgoGA3fWZCOGWMyEgmEOgN34IIHsRYApwWj4Y9qvVPGmIxdt+eUEcAVQJuYzWuAvwITz1k6aVNBOmaM8e2+XhNbAjcAJ/Lr2frvA78buqRyfkE6VkRsCYMxpWsWcDG/Dh4AbAPcEQmETq39LhljMhEJhLYDnmfz4AFAX+D5SCDUtnZ7ZYzJ1HV7ThkJ3Myvgwfg3l5eClxT650yxmTkvl4TK4AngJPZ/Dl5F+Cp+3pNTHS9rlcsgGBMCYoEQj2AkWmaXRUJhBrVRn+MMVkbB7RPsX8H4KJa6osxJgvX7TmlKTAjTbNzrttzStfa6I8xJmsnAn1S7G8EXFlLfSlaFkAwpjQN99FmG9w6TGNMEfKWIZ3mo+kZkUBIaro/xpisHYPLQ5TO8BruhzEmN2f4aNP3vl4Td6nxnhQxCyAYU5o65LmdMab2bQG09NFuK6BZDffFGJO9jj7b2TXZmOLW0We7ej2WLYBgTGn6Ls/tjDG17yfAT1K19cDaGu6LMSZ7fqss2DXZmOLmdyzX68oqFkAwpjT9y0ebdcCjNd0RY0x2gtHwWuARH03vD0bDG2u6P8aYrD0M+Bmjc2q6I8aYnPi5v/4QeLWmO1LMLIBgTGl6ClgMEF+KNebP1wWj4W9qt1vGmAxdQeoHj/XAn2qpL8aYLJyzdNIXuLJvqa7JLwDP1WrHjDGZuhn4Ik2baUOXVFbVRmeKlQUQjClBwWh4E3A0sFjk17nVvD/fBoyt/Z4ZYzIRjIZfwmV9Xh2/T1VXAYOD0XC9ftNhTIm4APhnkmvyi8Bx5yydpAk+Z4wpEkOXVK4EBgAfx+9T1SogNHRJ5eza7lexkfhIqTGmdEQCofIrPnjojXM6Bt9q0aBxw2e/XtbjiS9f+2zZDx/X+xq1xpSSvlt12X+XZu1vO3Hb/d/cULWp/PZP5h++7IePT3ln1WcPF7pvxhj/9mrZ5c7gNv3a7Nhk2/XLV/+vfeTL5zt3aLrd1o+veM5PvhNjTBEYuWOwxX/XfPne73YcOL9Myho/8sWL/aPfvX3ne6s+HVPovhUDCyAYU8JEZCfgdlU9yPvzyY3LKmZO2GXwgH1a7fxZMBpeUeAuGmN8EJFK4ANVvd3788vtGm2x4rYeZ58HfBaMhjeboWCMKS4iUg4sA3qq6hoR6VhO2aLAlt3/cMYOx/4H+GTE65Pr9dRnY0qBiBwFHKmqo70/X9WsvPFJs/a44JAGZeVfD3tlar1OomgBBGNKmIhcCnynqrMigVCHtZs2hMtETmlY1qC6yQvA5cFo+PHC9dIYk4q4Oc5LgQNU9YdIIHTcV+t++OvWjVpWl4laDdwFTA5Gw58WrKPGmJRE5GBguKqefstek5sDoVUbV49t3qBp9ZLh94FrgFkWSDCmeInIXcAsVV1wd8/L9vluw6q/tGzQtG+ZlAFUAY8DU4e9MnVJQTtaIBZAMKaEicgrwBFP9r60FbAAaJuk6TnBaPj62uuZMcYvEdkPuERVh0YCoQuAP4NLvha3nvoz4MBgNLy8AN00xqQhIjcCD9zcfdJC4Blgv+p9ceP5duCMEa9PtptwY4qMiDQDlgDd7tp74sHAY0DjBE3XAUcPe2Xq07XZv2JgSRSNKVEisgfwhap+BdxE8uABwLWRQKhjrXTMGJOpU4C7IoFQF+Cq6o3xydiAbYFZtdgvY4xPItIIOAgXOJhITPDA2x/7x9OBIbXWOWNMJo4BHr1r74kVwD9IHDwAaAT84+6elzWqtZ4VCQsgGFO6hgF3RwKhbkC/NG3Lgd/XfJeMMZnw1kwHgSeAUcBmUYM4R0QCoU413jFjTKaOAJ65ufukMmCkj/Zn13B/jDHZGYZbNngc0C5N222oh8FACyAYU4K8NdPHAQ8BvXx+bN+a65ExJkv9gRdVdS3+x6jfMW+MqT3VDx07Aa19tLdxbEyREZGtgA7A69g1OSkLIBhTmgLAMlX9EfBbGmpjDfbHGJOdU3APHeB/jNpYNqaIiEhzoDvwIv7Hp5V1NKb4DAHuU5ck0MZyEhZAMKY0DQPu9v77eVxG2HSeq7nuGGMy5a2Z7sMvY3Oej49txFVXMcYUj2OAR1W1ClgOfOzjM3ZNNqb4xN5fz/P5mXo3li2AYEyJEZEGwADgSYBgNPwx8GCaj60CbqvhrhljMjMQmKuq1W85bgTWJGoYUzHpnmA0/EUt9M0Y49/PM4lGvD55EzATfjVuE7m25rtljPFLRLYDmqjqB96mucA7aT72HvBUjXasCFkAwZjSczDwgqqui9k2SlXfSNR4k1ZtAE4MRsNf1UrvjDF+ncIvbzoIRsOfAcNUdUN8QxFhk1a9Boypxf4ZY9Lw1kxvByyN2fwXYE6CSirVxo14ffK8Gu6aMSYzJwH3VP9h2CtTq4AhqpowaL+xatNKYPCwV6bWuyUMkiY6aowpMiJyG/APVX0mdvt2jVsPOaptz4kHt+m2fcsGTVuViXz/w8Y1kfHv3NPt/VWf9yhQd40xCYhICyAK7KFxF+I9Wu7wzAU7H7lhiwZND29a3qhKRN6f++XrH8/+ZP6jK9evuq4wPTbGJCIio4A2qjo9dnuz8iY77tuq28Jj2x28ull5k87lUrZWVZ+99qO7uy/98f09vRxGxpgiISIvAcep6mex2zs2bTdtaPv+fXdttv1+zcubNBCRL5ev/nzh3z56sOqztV8PK1B3C8oCCMaUEBFpDLwGdFPVTTHby4HFwInAn4DxqvqWt+9p4A/VfzbGFJ6InAp0UdXxcdv7AJfhZic8qqoHeNt3Au5U1QNrvbPGmKREZD5whqr+X9z223DlWTsBX6rqrd72SuD/VNWWFRpTJERkV2CWqh4at30rYAGuIsNLQA9V3eDddy8DeqnqT7Xe4QKzJQzGlJZBQCQ2eOA5HVjordvaBXg/Zt9t3n5jTPH41fIF+Lk865XAWKAb8Gb1PlVdDqz3bnKMMUVARHYAKhIED/YEdgPuI24sA7cDw2urj8YYX6rLsMYbj1uSpMCG6iWG3n34Q8DgWuthEbEAgjGlJbbkGwAi0hS4CKj0ZihsiltD/RBwjJd80RhTYCKyNdBWVZfF7ToO92byNTZ/6ACYjT14GFNMfrVmOsYVwDhvedLuwM8zAL1Av4hIp9rpojEmFS94PwR4IG77Tri8Y7cBXdg8oeLtwBm10cdiYwEEY0qEiLTEfYEtjtv1B+CfqvoVCb7gVHU1bvrVgNropzEmrROAf8VuEJEKYDIw0duUKIBwP3C8N3XSGFN4JwFzYjeIyMFAlao+743VpgnyHdyOzQw0pljsjQvefxu3fRowyauUtNk1WVXfARqJSMfa6GQxsQCCMaXjeODB2IRrItIGOBX4q7dpdzZ/6AB7c2lMMTmZzd9ajsCVdPyv9+fNxrK3zvJF4FCMMQUlIl2A72IztItIGXA5MM7b1BFYnuDjc4ChXntjTGElWlLYE9geeNTblOz++nbgtBrtXRGyLy5jSsdmyxfw1mbFJHBJ9NYS3ENHFxFpXYP9M8akISIdgDIvp0H1tubAebgHj2rtgc8THGI2Fgw0phgkWjN9ArBMVauvwwmvyd6MhCVA/5rsoDEmNS+IdyS/BApi8xGNi3lpl+z+eg5wYn0LBtarH9aYUiUibYGtVPXtmG07424+YjM5J7tZUdwbz5NrtqfGmDQSzT64ELhNVVfCzzOLvokv7+hZAHQXkVY1201jTDLeA8Zg4MGYbQ2BCcCkmKbJHjrAgoHGFIO+wBJvuW+1AcD3qvpizLZOwIfxH1bV74A3gHpVIckCCMaUhhOIW2fJr9dmVesMfJDkGHdQD6dZGVNkfpX/wAsOngjMjGmT9KHDCyrci1t7bYwpjH2A972Hh2pnAY+o6qcx21IFEOYBvbz8RsaYwvjV8gUvb8k0IBSzrSmwPu5+O9Zs6lkyRQsgGFMafvXWUkT2Abbj11OumgAbk33BqeonwPciskcN99UYk4CIdMPNLFgRs3kScKWqro3Z1o2YrO0J3IElYDOmkOIfOrYARgMz4trtDrxNAqpahSvzeEIN9dEYk4I3a6g/8HTM5t8Ai1X1vZhtXdm8AkOsZ4CAtxyxXrAAgjFFzisjU6WqH3t//rlWfNwU50QlZuLNxh48jCmUX62ZFpFdgf2Af8a1S/XWEi/R4hoviZsxphZ5bygHAY/FbL4E+Luqfh/XromqrkpxOKvGYEzhDACerS597pVCHwtMiWuX7pq8CVcCckgN9bPoWADBmOJ3Mr/ODnsELvNzNK5dyi84z0PA0SLSII/9M8ak4QX+jiNmzTQQBsZ7Nx+x/Izl2diDhzGFcBCwSFXXAIjIdsAxwKy4djsD/5fqQKr6IaAi0rkmOmqMSSk+Ofm5wJy4WYLg75p8O/Uop4kFEIwpfifgpjkmXJsVI+0XnHfDMx8XhDDG1J79gHdU9QcAEdkf2AKYm6BtO+CLBNtjPQAc530nGGNqT3zJtynAdFVdH9fOz0MHWDDQmFonIs2AHsAL3p9bA2cCf07Q3M/99XtAhTdruM6zAIIxRczLV/CFqn7lbfot7s3Hewma+71ZuY16luzFmCLw8/KFJCWi8PZtA3yVpALDz7zSrS8Ah9dMd40x8USkES5r+zPen7sBe7B5kmPwf02+DxhiwUBjatUxwGNeLhKAS4Frkyw5SliBIYF6syTJAgjGFLdheG86vLVZlwBTk7T1+wW3CNhFRLbKSw+NMSl5DwZB4Alv0zHA/1T15QTN/T50gJWBM6a2HQE8U71mGrgCuDTmISSWr7Gsqj8CLwEH562Xxph0YoP6HXD5EG6Jb+QlRlyTYKlhInOAE0Skzj9f1/kf0JhSFbNm+iFv0xjg3gRrs/yUmPmZ92bzbtyXpzGm5h0MvKiqa738I1Nw9eITySSA8ALQTUS2zEMfjTHp/bxmWkQOAspV9bkkbbuSpAJDArOxYKAxtcJ7gbYj8Lq3qRKYHBMYjOV7HHtJVF/F5Ump0yyAYEzxCgBvquqPMWuzrk7SNpMbFYA7gVNz7J8xxp+fZxLhlg89q6rLk7T1HUDwgoH3Aifl3ENjTErem8juwItegP8KXMb2RG0bAI28pUZ+PA/s7ZWDNMbUrCHA/aqqItID2IlfXtbFyySoD/UkGGgBBFNy5vUZV1/+3caWfAsB16QoB5XRF5yqfgp8KyJ75tZFY7IzoXOlTOhcKYXuR03z1kwfCDzrJW06H5ie4iOZ3qzcQT1Zc2mK04TOlfXlmnws8Ii3XGEo8K6qLk3S1u+SQgC8Y/4LODHnXhqThXcHjJF3B4ypL2M5NqifMB9RjEyvyc8BvUWkRQ79K3qSJk+TMUVhXp9xXYALcRUJtgD+B9wKXNv/hStWFrJvNcF7e7EM2AtoDzwM9EoyvQoRuRI3RTpZBDXRZ04C9lPVC/PQZWPS8gIGJ+JKJe0PKG4a/kzggWkfTKxzFyQROQ44RFXPE5EJwEZVvSJJW8HNJOqaLoli3OeeBv6gqm/lpdPGpDGhc2Ub4I+4N23bAd8B9wBXT/tg4vsF7FqNEZHHcMH8t4GXgSNV9X9J2g7GXV/HZXD8nYA7VfXAfPTXGD/eHTCmD3ABMAhoBLwF3AjcsNvcmesK2bea4JVdvV9VAyJyGHCOqh6fov0TwHmq+kEG55gGfKiqt+Xe4+JkAQRT9Ob1GXco8AjQNMHuD4H+/V+44pPa7VXNEpHDgZNVdYSI3Ak8oKoPpmj/GHC+qvq+cfOSMr52TbfhB+3avP2WwNfBaPibnDtvTAJe8OBGYGSSJn8DzqtrQQQRmQP8Bfdd9RwuELgmSdt2uDwn/TI8x2/KkO6P9x43C6gAPg5Gw3Xuxs8UhwmdKzsC84AOCXb/CBw57YOJC2qzTzVNRNoA/wb2Bs4GdkgVHBCRicBHqnpnhud5brdm2/9xWpfha4FVwGdDl1TWqe9EUzzeHTBmFDALSDQb8Hlg4G5zZ66u3V7VLBG5AKgCrgWiwGmq+k6K9m8De/hMolj9mc7ALTd3n3QS7qXnZyNen/xjbj0vLvVlqoopUfP6jGuJK3GUKHgAbprg7FrrUO05BbjLW5vVkeRrs6rtDPxfJid4svel3a7pNrzxLs3afQ68A3wVCYQejwRC+2XTYWPSGE7y4AG4WQl1ai2/iLTETX+MAhOBq5IFDzyZTpUkEgiV3d/rgja37HXW+cBy4D3gs0gg9KdIINQyy64bk8o/SRw8AGgB3D+hc2Wya3apGopbYtAC912VcBZRjIzH8n29Jm57ZdcRMnnXUxfjrsmfAIvv6zXxhCz6a0xK7w4YswdwPYmDB+ASAYZrr0e15mRc7qBhwCtpggctgNWZBA8Abu4+adfLdhnVA6i+v/76lr0m33nLXpN3zqHfRcUCCKbYnQq0StPm0Hl9xnWrjc7UBm9mwP64NzxXAmNTTWfOsMQMAJFA6BBg4a7N23eIKTcjuClsCyKBUDDb/huTxB98tDmvxntRu47FLT/qBPTB5StIJaOHjkggJMCNTcsb/bVd41YVMV8TrYGLgPmRQMiSspm8mdC5shdwQJpmW+Nu0uuSYbglGhcBN6nqd2nad8E9OPhyX6+JHYBFOzdt369BWXlFzK59gDn39Zp4aaYdNiaNc0n/HHjmuwPG1Jm1/CKyK26W1ErgUlxFpFR2xy3p8O2WvSb/Hnh8xybtWsZckxsCvwUW3bLX5N0z6nSRsgCCKXZ+p/JmNOW3yA0CIsAhuMjnf9K0z6gCQyQQagj8A2icpElD4M5IINTE7zGNSWVC58otcPk80tl/QufKRjXdn1pUXfItDEzwEeTL9K3lMcCI6j+4FAq/0gOYnMHxjEnH77W2f012ojaJyA646+JqYDBwXZr2FUCFqmYy9ftvwPYp9ofv6zXRkh6bfPIzllvglu3UFdXJyc/BLQ3+PE37jK7Jt+w1eUdivh8SXJPbALf4PV4xswCCKXbleW5XCk7BZYcN4yKk6WT60HEsLjFjKm1wCSuNyYdMrjV14rokIlsDbXHLr9oAT/r4WKZj+Rwfbc6wYKDJI7/js06MY8/JuGvyZOByVU2XX6Qz4Dvh2n29JnYEjvTR9Cy/xzTGh3o1lr0kxUNwuUxGAn/y8bFMr8kjgQZp2gRu2WtyyQdl6sQ/ClOnveSz3aIa7UUt8dZMdwF2AV5OtTYrRqZfcL18ttsng2Mak8p3+LuhXjrtg4mpcgSUkhNwa6bTLkOCn29u2qjqVxmcw88Y3QL3QGNMPvi9JvttVwpOBF7FvYm9O01byPyavDfJ16HH8nvtNsYPP2N0HfBGTXekluyNyxU2GrhOVf0kNayp++uSH8sWQDDF7lZgbZo2S4DFtdCX2nA8ruLEOPxPPc70C25jntsZk5JXWeH6ZPtjnq1TTg0uMcOAL4EVqurn+6k9LuGSbxnkPbGxbPLledJfb1aRPt9HSRCRLrgA6IVASFWrfHws02uyjWNTCEmvyTHu3m3uzLpSKv0U4ClgIK4ilB8dgY/8nkBV6839tZVxNEVvXp9xw3Br9hMFvL4G+vV/4Yo6Uf9cRJ4CXgPWquqkRG0igVAFLrnk74Hdv9+wumnLBk1mi8g1wWh4aYpjtwNOPGDLXUdN3HXI7qqaaH1WrKOD0fBj2f80xvxiQufKClw1kUFJmjwInDDtg4kZZTsuRiLSAbfOsglwgqp+mKhdJBDaEZc48sRNWtXm2w0/rWnTsEUYuDEYDSd8O+LNVNgPOOWyXYecsf+Wu6ZLcPUp0DEYDZf8DYspDhM6V/YAngW2jN+nqhtF5KRpH0x8oPZ7ln8iMgVXGnUfVT0iWTsv8fC5QJ81m9Y33VC1Mdqyoun0YDQ8N8WxmwPHtK5ocfp1e5x7eIOy8nSzEKYNXVI5MZufw5hE3h0wZiquQlAibwEH7TZ3ZsmX9/aShb+Je9n4iKrel6jdrD2ntARGAcNVdccfNq5quEVFi2uAmaOXTvpfiuN3BoYdtc1BZx3X7uBt03RHgU4jXp+8PKsfpkhYAMGUhHl9xvUDQsAAAFVd+59vP/jmhZXvX/DEijfmFLZ3+SEibXHJExsD+yWaXuWtZX4EOCzBITYAvwlGw/+KOWYr3KyGU3BTmec0K280575eFzwO7JGiO+8DXYPRcMk/zJni4QURzsfVUe8AsEk3fbzw2/nlgnR6fuWz6dYWlwQRGQvsCaxU1YSVJSKBUAA33hNVSXgLOCQYDa+IOWY33KyG43BJU+/6595jvm3dsPlzabpzaTAaTldyzpiMTOhcuQvuweMkoKGq6tcbvvzgpe+ic1/9Ycm5Be5eXnjBuqW4rO2jVfW1+DZeJZQZuOoMiVwRjIZ/zqzMklwAACAASURBVGUkIg2BIG4s74W7nt81p+f4P4jImSm6sw7YZeiSyqQPMcZk490BY07G/fvdB0BVV9776ZtV7/z49UF3/2+p7wTdxUxE+uF+xtbAgYmWFM7ac0p7XGC0S4JDfAscMXrppJ9nE4rItrjvv5NwCVbvPqZtv38f07b/qyS+rld7eMTrk4/L+ocpEhZAMCVlXp9xrU5/9eaHW1U0GfHGD580w0157ptufXExigRCrYAzcGulW326dqXe//kifebrZX9ft2nD35J85i/AH1Mcdv2HP63oce6yW/fA3aDsAjwA3B2bTyESCO2G+6JMFCldARwajIYzqmFtjF8TOleWLVg5r+cbP7561Tkdzj9k+oeX/QV4XVVvLXTfshEJhHrggiL7A/rvr5a2f+iLxas+XL1iv0Q5DSKBUDPcWsxtUhz2yYGLLj8bl8DtBNxyiLuBh1T1h5hjnQ9cneQY9wMn2+wDU1MmdK5setsnN4TXVa179ZsNXz+AW1e9v48yh0Vncb8LG+LG2unADj9uXLfuH/9bssUDn7/+4ncb1pyS6DORQKg6wWJSG6o2nXDM4hnf4AL5fXFJ3O4GXqxeEnFfr4ktgLlAINEhgJOHLqmsE7M6THF6d8CYrQ9feMcLTx94WrcuT//tBKCfqo4qdL+y8eHAs7fHJR0dCDRe8u3njW9a/tqGeV/99/cbq6qeT/SZWXtO+TdwaIrDfn7b/+7fZ/H3S4/EjeWmwL3AHFX9tLrRLXtNPhQXGGya4BjLgENGvD45k1xHRckCCKbkiMgcoFJVl4rIncB9qvpwofuViUggtDvuZmG7+H1VqvPKRI4ORsOr4j7TEjcduXmqYz+24uWV1300dzbuBuXlZMGVSCDU9vsNq8etr9p43lYNW2wSWPHIipebtKpo2ufy9x96N8sfzRhfvIShT6tqb69iwTygl6qWVBLFSCB0IXBV/HZVVRE5JxgNz0rwmZHATcmOWb286Nylt7784eoVt+K+475M0YeDPvxpxd+3bbxllyblDdd9v2H1Rw99sXjF6Tv0O9RmEZmaJiIXAD/+P3tnHmdz2f7x9zUzGLsSIolI0oYwJ/VU0jIq1S+etidKPaVNmzYHIRmplPZNKctTSVoUR1JIjC1bthDZd8Y2zHb9/rjuw5kzZxtGpPN5vebF+X7v7/d7n+W+7+u+rs/1uVT1fRF5AKiuqrFUEDpqMP3iThWAUZgTMB9y8nJXJSUkNm8yoV+BVCSfx5sOpES69+JdazMfmf/x51ha07hwedLDG3dLBu5elbnp5WrJFUmUhB0ztv++a9medV0+XztxyMG8rzjiKAxE5DeMGaNAOtBWVf9W9uCylvdfgQXOSoc4/QFwT+3Rb+XTMnn77J5nE4NY5Kdrv1s9cev097Gg3JJw7T44t0fddXs3v1gmqWSrMomlsvPIWzV64y8lm1dsUu+h+X1jEW886hF3IMTxt4OIvA98rKqTRKQWljvduBDiJUcUPo83GaMg1ww+F6BLMCQ1Pa1t0HUtsMhFRKjqrJZT+zSKpS8icjO2+TlHVbc66nWOqvaL5fo44jhYuJzEeap6pnv9DJCpqrGUVjoq4PN4rwai6YQ0T01PGx903ScYsyAaHkhNT4tF6AoRmQJsU9Wr3Gc7G7hcVTdEuTSOOA4JInIXcJyqvuQo+jOB1MCo3NGO6Rd3+hJLDwqHRcDZTSb0229n+DzeMlh6QyxITk1Pi5qiJSI1MaHKe1TVJyKXAPer6o0xPieOOA4abh1pqarbReQK7HfY5kj3K1Ysa3n/KVgKYIHof4B9/VTt0W+9EHju7bN7Pgz0j3Z/VR18/2892sXSFxHpjWkpnOReDwEGqWpYXZS/E6LVqowjjqMR23H5Raq6XETGY5TDD45kpwqBNoRwHgCBooa3+jzezqnpaasDTheL5ebOgIsVzbFgqV9l9z1gkoi8Gs0hU6l8SjXgUqA45rmduSljatwjGUdMUNU8ya/i+TIwXUQGqOq2I9WvQuKJGNp0wtgVgYhpLGNjKypEpARQHUtL8n+272DlqnpEunZvp7aCRV3PwPI4f0juN/hvT6+M4y/FdtyapqpZznDuAdx9BPsUM6Zf3KkukZ0HYHnRVwOBbMfC2NBJmI5BNDTHKk/5o74TgBdEpKaqroh04aCG3ctiOlHHAX8CP7ab1TPOQIqjMPDb19uBscCTIuJR1fQj262YcT+hUwcC7etHlrW8/5Xao9/KDjgdq30d69oNNhb/CHj9CvAcxj6OiHHNOtfD0pkUmNxicp+wbIcjhbgDIY4jjhFNugmmzP4gcAE2YH4BXr9heq/RIS7JACoEvO4NjBeR//1N6M9Xx9AmARNaGhBwbC5W7ikxyrUzC9GXizBDAwBV3SYiPwE3ACHFKSuVTymHaU/cEtSXmZXKp9y9KWPqrEI8P45jCJtvbl8eyztsD9QAtmI5gq+d8OnAPyNdq6q7ROR14CmsjOlRDRd9vDiGpi19Hm9iUCrBr0DrGK6NdSynYBoJiwKOfQzMFJHnVTVkKdy9ndpeALyLlZ3zI2tvp7YDgUeS+w2OVkI3jmMUXev0aojp7VyNVROZj/1WBj23tFt2UPMM8ouGDQMeFZF6gdo7RzHCVYYJxjXkdyBkAMuBWlGu+x1zzsWC5pjjcCXsT4V6HeiIOSMLYFDD7gnAM8BjQGBVlpWDGnZ/rN2snl/E+Ow4jjEsvqJjEnAbVlngHMw5NRrof/r3r88Iccn+sex+e50xB9alfxOtsVjs66pAI2BqwLFfY7x/TO1EpCwm2OjzH1PVmSJSUkTqq2rIynHjmnWugdn9lwcd9wH/bTG5z1HD6gpVFi+OOP4yOOdBP4wGnIotfuUw4ZNRI5p0e9G1CUQ+Y8WJlH2KLbB/B4T0joZAycAXqelpa8lvvIRDgZzrUBCR6lhEJHgiexV4ONQ1lcqnFMcWn9so6Mg4DxhfqXzKmQUujOOYx+ab21fDBNSeB07Hfr8nYUbt7M03tw8pDhbEmHkfuNr9No92lIzeBLBxEswk+BDIinLdb8CkGJ9xKZBJgANBVXdj6V3/CXXB3k5tPVhKVPB4LY4ZmyP2dmobtxH+gehap9d/sHJn7YCK2JrVBDNsR3Wt0ys56JJ8Tn0nDNgVSPtLOnzoiHUs51u7U9PTFLfeRtlbve3aRoRjZKVgqUiBDsfPgJZONyYU+gPdye88AHPiDh/UsPu/oz07jmMPi6/oWByzGQdi0exS2Kb2P8DUxVd0bB/isuCxPB1zTqce9g4XDQ5qLGMswWhaD3uBj2K8/4XAavI79cFYCCGF0Mc161wF+Jkg54FDKjBhXLPOFWN8/mFH3DiI40jjJqysWzg8jlH+A7E/hSEArwDtRaRAXeqjECE9jyEQqnzOw6q6MvBAkOHSNzU9LVaqWXNgFUETnBOG2SwiBcSkMMdBswj3LIdtIOP452EwUDfMuQrAV5tvbh+8uAc7A7Mxil+Pw9HBIsZWzLCKhhWp6Wn5mFGp6WnrsfQCIOTmYwdwRyybDofmmGBUsAH0BvBAUKqIHy9jJWPDoSXQKsbnx3GMoGudXnUxIzkc0+0ybIwGIpiBgKqOBcqGWUeONsRaqi7U2v0a8FPoIQYYDTwmHROgDrAJYyzsh6pmAUOAAmUeBzXsfibRgyevDmrYvTDU6ziODXQnPLsmARiw+IqOweW8C4xlzBnYS0SisV+PBsQylvMIWivvm9c9D7jdOd73I2BtVqDDffO6x5re1xzYTUEHwrfA+U44OhhPYU6/cKhN+HKxfzniDoQ4jjQilSQM1yaUsbILW8iPeurzoNUTx+dFZ4Itw+UzByI1PW11x98GDpm3Y+VszBuKiJBnNNE7gcIoXzcnKGoZgFcI7di5K4b7Xl2pfErVQvQjjr85Nt/c/mwsCh4JVSgoHBjKGfg5cLaInFFE3TssaDm1T96sjOWhKKBAPsPjvTDXD01b8uUfe3OzZvk3H3map5h69Pmp6WkxpS+IiD+qlBxY3tH1YQ226ckX0djbqe0ZhFCbD4FYxnscxxYeIHp6691d6/QKrAYUahyDrcd9wjiwjhq0/XXI1IzszGjpjzlYJDcfUtPT9rWd9Ubf7zb8+kdgydbsvNytwLNAq9T0tGhsIz8uBVYQek1+F/hviE1cAadCCFTFHIJx/EOw+IqOJbF0wkhIwFKHA1FgLLug0jSsdOFRjRFrFk+BqIygkbVHv7U2+OB987pP7b/8o/GbsrZOx5wMft2EX4CW983rPqgQXbkEYzkEB+hyMZsg33czrlnnROCOGO5757hmnY+K+TSugRDHEcOIJt3KEKX8kUOzEU26Jd8wvZc/HzdYA8GPAVjO7xuquqqo+llUcFTtzsB1Fx53+oBTS1f5b+B5v0JsTl6u7szJfPCWX1/LC3GP2sA1Ty4c6hmd0jkJOKXjvIG9lmdu7JOTlzutkF3yYHmWoYyVcMJNp8ZwX8EEtdYVsj9x/H0RzXkQ2C7QCA/lDMwTkS4Y/fn/iqZ7RQsRqQO899Kyb1cOavjAwkRJKODsEBG2Zu1aeXzxMq+Fuc2TP29dNGjiloU9fR5v9VWZW6o+uWDIB9uyd8eijRCIZljFhWphzocSboplHINFPOL4ZyGWsVwOS1mb4F6Hilr6c37XY1HQ74qsh0UE59i4Fegycv38N/9T/bxHw0VZ1+7NeP66qQMKbDpEJBl44Y0VY668ukqjlUDtZ38ffsusjBVbMnOzXi1kl5pjn2WBNVlVt4jIz5jYY6CmQaxjOdZ2cRwbOBdzLEdDi6DXIccy5gz7QUSGqWosYqB/KUSkAvBSAlKrReWao8oXKxGSebErJ2tf8YTEkFF8V3Uiofvvr6W8dVaPikDVbotfHbole1uqC1IWpi9JWNAklGbBQEww+oWAz/I49xcNlTG2Ycz9OVyIMxDiOJIoDB0q0NkVzlg5aunPIuIBpriX559auso9mAdyZUAbNu7LWNVryYjpt856/S5Xii3wHoJRIR9T1czU9LSdqelpvy3ds35SruY1LGR/agFrMbpUAXE7J5bjF24KxI7gtmGQUZj+xPG3R6zO6OB2IZ2BqvoDUFpEIqXL/OUQkSQReRJjCfTakrXzjkRJ+BcwiABNA1XdN37z/K33zn1/W8upfQpsyESkLiai+DwYs+juOe9O356zR9yGpDBojgm5hRSrU9WZQEkRqR9wOD6O4wiHQo9lZwSXCNOuK/Ds0UZ/FpFTMKdGKnDRq39MeEJErgTyiQDvzc1e9+LSH5dfP+2Dq8OkSHqBz1R1aWp6WlZqetrCKduWjNmbl31uIfsjQEPMtgknPNmfgvpEsY7lWNvFcWygqNfk9Zimzn3B5440ROQGYDIwJQ+9rHyxEtdhe4H91ZxUVeds37D2lqlfzaz//XttQ9yjFFbS/AFV1fvmdd9837zu87Zkb5uJiU8WBhe5/ux2ejD54JwRIzEhcj9241gPUZCNYx8facQdCHEcSezAqPrR8Ds2uPwIR5cEGA6cGWQsHzGISBkR6Y9NTO1Utaeq7ktNT9PU9LR3sahAs8lbF3d8bP4g3+2z36ozbfvSYtj7fSnodrcAG1R1XNDx2UCDQnatOSbWkhUk1hSIUMJNsag5LyT2nNI4jg3EWi0gWME4XLQDjjL6s4g0wKiMFYEUVf0JIDU9bUtqetrtmGDklf3/GPXNI/M/vrnvsm9a78zdmwH0FpEmAfcRTHjt4RCRnN8oKGoYDeFyLQPRn/ypYOnExhAaXsi+xPH3Rywq49nAvFhupqpLMed5SDHPvxoikiAiHTHnweuq2lZVNwM0mdBvHMasOCcrL6dVhznDViQnFqv++drZv2CCpl+4kqn+e52BVWYIXqvnYhHgwqA+lpddlyANBD9UdTGwQ0SaBhyOZU3OwnKv4/jnYAGxlQ0NXrsjrckvAh1EJNz5vxQiUlVEvsDmlhaq+oGqau3Rb+XUHv1WN2xNbv72sl9f/Hf6l/1ap484b+HOLcdhGgTB6XldgSGqujzo+MHa18uILMr4OvCg375pMblPJrGxtL5qMblPxBLrfxXiDoQ4jhhumN5rv4JxKPhzmFZlbhru2voRLoXBr/7spz8fUbhoRjpWB/ZiVZ0f3CY1PS03NT1tSq8lIz5YuGtNNSeW9DDGDKghIg+7ex2PTXChyjgdzAR3KTbBha0tG0a46S1VjRaV7LMpY+rfodxPHEWHCURxGmXn5eXO3LJpSNDhsM5AVf0VY8nEUpbpsMGVXeqD5S3ep6pPhSoXm5qetjk1Pe37MZvmjPl997oaqjoey2ceBHwkIn4KcTtghapOCL4HhRzLrlRUKcxQimSsjCRAuCm53+BsoG+U268nRM53HMc8ogr+bc/eNum5pd2CBUQ1grOvF/DUQbBrihQusDABOA04X1ULlIluMqGfNpnQb94FP7/67ayM1VubTny5FCZcdjmm1D7QOSESMPulo1sr90NVdwIlgirMRENzd/9SwUJuQQjWJ/oOmBPl3u+3m9UzFsHXOI4RnP7961ux6mQh4bevF+zYNDToVKQ1eQfwDkdYyE8MdwHjgKGq2lpVCzjEa49+K7P26LfG91sy9dPZGRtOciyK1zGb/B4RSXX3Oxu4AhtbwTgY+/piLMUg7Jrs0qyXkD9lrG+EgB6YDkuws/KIIe5AiONI43WslFgBiAg7svekP75gwHUicnuAcbIDy8EMCRehLykiFxR9d6NDRCqKyCBcDW1VfS3KpIDbkCSJSJKq/oxRkn1Aa0fP6gu8GCjSFHDtFqBCrBRR9zk2BnKJHLWEIOGmTRlTV+/I/H1+nuaEolop0GVTxtTBsfQjjmMHJ3w6ULGN8c7A434jRVX1ncXzR6T+8N2XTj/Aj0jRDjjC9GcRuRhzAm4HLnBOjWhYgEUTwQytu7BSliNE5DRMafnJMNfOonDGyoUYk6geEcZyKOGmiq998umrMxZkh7lkLZCa3G/wtjDn4zhG8dzSbr9gkcaQyNXcP4esHZgsIs+LSKCy/24sN7cAVHUDxma5v0g7GyNEpLiIPAMMBZ5U1YfcJj8aFgL1XP9fwcQItwG9gfbAYlX9Jcy1C4DCCME2d9esjNLuR+A0ETkZoN2snrk9fh/w3erMjeHoz8Ow+SeOfx6eoGBFD8Ds6/k7Nn7Xeupnz4lI4CY22pr8DvB/InJEhLKd/fADpuHVTFVHxHDZImyNBLNpz8YqVLwoIo0wp+kDLg06GLMpBJtIRE7ANvo1iG5f53MGXjbl+fR+y0ZvycnLDTWW9wK3tJjcp7BaZ4cNcQdCHEcUN0zvlYVRAHsCG/zHd+Tsyd6clfFKuWKlLs7R3AuxKOQgESnrjOFov92/nP7svKI3Ywb998BVqlpAXyAClnJAtOxJbNG/E3MeNCRy/dklWFQlFpyGeWDrEGWCc84Jv3ATItItOyfjrMx9604FHsJokWOBfkC9TRlTjzjzI44jgxM+HTgDU/YfjjmnEBHmbtuyTUSu7Dlnxo0Yg+YrEfGrOYdlEwGo6jIsbeC2w9r5IIhIeRF5F9NTaaOqfcMYF6EwH5eG4Bx+L2F6B72wsfSiG1ehMAcb67GiOfATUB2rOR0JA4FbRaSEiBTfk5M77emJv36LGVN+R+43wD1A3eR+g6NFNeM4dvEUtvbsL1uYoznZG/atG5soiSkZOdsvwgza8U5PB6KMZWyNuPuvpj+LSAqWQpEAeFR1SpRLArGAAylFA4CzMCdEAyzHOlLVp5gjl47NcBbmhI+2JitWnrWju/aS5XvWPtZn6cctgBux+Xcc8CHmYLy53ayesVaBiOMYwunfv74JuADbIO8CW5NX7snI2pubc/+Z5Sq3UhM47SkivUQkiehr8j5Mu+eZw/8ODsDpDz2B6Q/1VtW7VXV7LNeq6h4gWUQSHUv5fkwU8lbMhl2mqlPDXJsBlHGfTSy4GGMSnU70sTwNKCcifufGCN+muXu2ZO+qiTk4xmCBxK5ArRaT+xxVKYUSpdRFHHH8ZRjRpFsxoBbALb8+3zwrL6eqqvaA/VHz/2IlZ+4EBqtqRJ0DEfkf8ImqjjysHbdnVcfojDuBR1S10HRBR5Oe7veoisgdmBhLClAcYzOEzI0UkWeBBaoalrIW0PZeoCxm3LzsRNYitT8dM56ew0R0LlPVybG+rzj+edh8c/vjcNG6Sp99NAK42e9Mc+k4H2CRvK+BS1Q1VMlQXPsqWNTtPFU97OJBInIdlgL1KjAglAhSDPdYjEUu1W0OfsLKU3bE8qNvCndfEVkE1I/luSIyDXNOfKWq58XQ/gVsU3QL5kA8XVWPinzKOI4+dK3TS4BTgJIfrn6n7Lp9a59V1VT/eRG5BHgTc7TdBHQPlaoX0P4hoIqqdjmsHbdnlcbWrKZAB1X97SDucR0W5XzKvT4b25gvwxx9j4ezL0TkKuDySHNbQNsGQDcsvSJHVSOmkTgdhtlAK0yz4jlVfSHmNxbHPw6Lr+hYChvLe88Y+8YjChNV9QsAxyTqiTmc7gfeV9WwZX7dmjYNuDWcTVqUcOPjHWAi0MM5BAp7j5GYAPkS9/olzFlyp/u3uaqGZNyJyAigW6S5LaDtm5hTog+WJhWxPKxjGF+OMY86A6c5xtPRD1WN/8X/jro/LEVhAZAQdPwsbMFcCyRFuceprm3iYexnAqZKOx+45hDv1RboGvBaMKbAB5gRNBeoHOba/wOej/E5n2EpDDOAMjFeMw7zYD92pH8b8b+/1x9Gm38m6Jhg9eYXA1/GcI8eQKfD3M8qGN33K+CkQ7zXBGyj5H/dENiD0ShfwRx34a79DqgTwzMquDHcEPhfjP062c2dGeHmkvhf/C/cHzAVODno2AmYwbwQM8IjXV8CEwqtdpj7eQUm8vjwoaz/GFtvZNCxz9x7rezW5CZhrq0KjI/xOY+6+fAt4NIYr+kJbA3uX/wv/hftDwsefRfi+GXOlv0zhnukAsMOcz+TMWf+dCyAcCj36gtcF/C6jFsH7wZuxoIUJcJc2w34T4zPmYOlgCyIsX0ilrK8J9r8ebT9xUrJiCOOvxSqukNEpmMU3XEBx38TkQuxjfW3InKbOgXlEPf4Q0QmYRvzjw61Tz6PtyTmrbwTqJmdl7v7oVot+Wb9jJ9WZG46X01g5lCwAGgZ8Po0TEW3ERZt6ILRvy/XgiJLswnIbw4Hx+Ro4NqX0Rhq24pIGayMzTZVfTmWNxJHHAH4FPhFRJ5TF1VXWznfFJE1mMDg/cDb7ngo9AOmicgHGiNtMRJ8Hm9dLAWnlaqW2Zq9a+s1lRuV+nHLb4/tyc0aFqEfscKvg+CPJFyPGUHXYmkcw0TkYVUNVSd+NuYUWBrlGRdhEZmI+gdBaABUAp7Qg2BJxfGPx8eY1klv/wFV3SwirTAD/D0RuV7DROpUdZ+IpGH056jrVTTsvLttAja27gMa5KrmTFizfve/qlbZ+PO6Da1UdcUhPmI5FogATFAVG9cJ2OamDfCliLRS1T+Crl0PVBURiWE+uRRLG2lNDGPZrePNsU3Qv2N8L3HEAYCqzhaRyiJSTVXXBhz/wekhLBOR17F1IhzrbwzwpIg0VaPiHxJaHd/lBGwc/weolKNZGacnX5S8MmvO+5l5Gc009hTCcPCvyV+71xdhAYxUVW0tIjUwgdTbtCD7bzaWmhAsOJkPInIiFmiriAkox4LqwInAz+oqO/1dEE9hiAMAn8fbCLgBi/wvBYampqeFy9P9S+AEzO5R1QLln0TkO2AURre6X0MrmiMilTH6cGONQiWKBJ/HezyW698oxOkMoGVqelphcisLwFEuJ6lqQ2cgjMXypi8D9qhqHxG5D/P83qABwoyu/WKMkhx2UIvIWZjx9yDwoapeHqVPCdgmpQomXnm9mnpsHEchfB5vCcwIbYLpEPwE+FLT0yKKeB5uiMgQ4IPgBVJEqmGL8nIsov5fVd0a5h4dgaqq6j2Uvvg83muwdIJQivDjgFap6WkHPVfA/r7mqeqbYqXehmIG/y+Y5ssGzADrr0EiUCLyb6CBRqF5i5WHHYexiear6rAo7etitNMhQE1Vveag3lwcfwlGpXSpgeXoVgM2Ap9eNbV3NKfSYYWIHIfpeJwTbGQ7kcIcLJXhDSz9p8Ba5NaUqcBtamUJDwo7726biDk0CtgHqponIveUfX/wBwd7fz9EZBYmoLrHOT+2Y5uR/6rq9SLSDGMOtNAgbRMRGYOlT6yIcP8kLOpbD2M2nBHN4SAizwMdMBtomKp+Hal9HEcOPo83AXMQXYGlos4GhqWmpxWahl+UEJEHsSDS8yHOLcA0c24E2qpqSKeWWDnRPlha60FvJlsd3+V0bC07KcTpP4BLR27tXRg9sQIQK6X8kKq2dbb2VEz/4TUsRfc7bN7aoaqdg649GRioqpdFecYtGEv6F+wziShe6oJzCzDbvTpwrgZVdDmaERdR/IfD5/Ee5/N4R2O1YLtgObqvAmt8Hu+RVu6dCJzrjJZgZACTMWO8j4j0CCVy4qJswzB64KHgfaBRmDmyPPCNz+MtcygPcKyCEmKK822Blc4xkoaJn52qqm9jRsarzmngv1axuu4nRnmMX3StHpHLvvnxCqYk3RwTWutYuHcVx18Fn8d7GZZHNxSrANIJRy32ebxnHcm+YXnDd4Y4ngGUVdU7sXrmEyV89ZR3gVbO6XBQ8Hm81bH5IFw5uRZEL28YC+YD9eVAqbeH1MSYnsCMlL1Y2tEzbgMSiFjF1/7FAQZCxLEsIhWwCPFkbAyXd9omcRxlGJXSJXFUSpf+mFOtD/Z99QKWjErp8uGolC4ljlTf1HKE52K/vWBkYJT6C7Fo3aehBBOd46ErASyGg8RjOFpxMNy4e2/n3W0LI0gaDouA053z/QrgFVX9FsgVkevU9IB6YUyEkkHX+tlEkdAQS7UsB+yMwXnQGguc3Ix9hlE1FuI4MvB5vLWx38BYqWkOpgAAIABJREFUbO5/GNuYr/Z5vNcfyb4B/8PsylBC4zlAfyzQ9LmI3BGqnWMebMXGxUGh1fFdEnFpg2GanAp83ur4LocqiL6IA1VRumMBtJXY/Po8Vg75IWzdDmZHrQZODvNZBaI5ts7GsiYnYE6LPOA6zBl4U8zv5ihA3IHwD4bP403E6oOnhjhdAujn83gPmWZ4sHAL6afYQhmMDKC8qi7HjJWSwA9OzDAYLwN3OSO60PB5vLVU9f/AFGzD4ASKRin+D4zl8DS24OCYE52AN9wE5sUoUsG1eGMpARc4wUWkSorIbcDtmODbauATbAN3SI6SOIoePo/3PMxZUDnE6dOAcT6P96A33kWA8UCjEBuKPdjCjaoOxTbV/USkiwSVbnSe+TRs8T9YdMDmiki4y+fxHqpSvF+93V/qbRKAWt35PcD/uWhla+B9xw7wYxkHqrGEhFipqGznlKiLVWEJ1zYJU3Leh1WUUMw4fOQg31schxcvYhuNUPZZe0xM7EhioOtHMLZja/JOzAE+GpgkVgUhGN9jpYdDnYuKnXe3TVLVhyHimpyAfY6HigVYVPFt4MEAKvXDQJqIlFEToxuBVYoK/N5iWZMvxZz6UVXbnYjje5gTY4yqLgAyRSSqgGocfy0ca/VHrMpNMI4Dhvs83kv+0k4FwDH9FmJVGoKRAZRTq0zwLyxSP1hEyoZo2wV4Luh3XxikcqDEYjg0CdPPmOHmpdIi0hDbM7zmjq/CAhzPOFbvrUA7l5blv1aBVYR3cvjRDHPSx5JW2A+bV1qoiUK+BnSMwUlx1CCugfDPxlVEH5Q9fB7vh6npaQVoNT6Ptx622c0Bfk5NT1t3GPr4MUY3fjvo+HZcrVq3oD8lIlcCY0TkaQ1QRlbVnU4Z9SlM5bRQmLZt6QNNj6sTy6C+nEIadz6P91TMGKsN7Li6csM9ozbO7qNon0A6pKp+LyLtsQ3A52IVGnwiskoPVF7wRztGh3qWm+DPxESs7sG8viEhIo2xTUZ/Vf3B9WGfWGWL9hgbIY6jB89gTr9wqIwZvE8Fn/B5vEmYY+lEjFr/U2p62qHmG+aDoxQPwzzs7wUc18D1UlWXuNSlPthYbquqgfPKZ8CjIlIvHK0yHEQkeeC597U/MTmqH7EUZgiEHEeh4GiqV2L52GVHNX3697vmvHPKun3bO1Fwjn0Ec3aOVdVlblwPF5HLVHWj+6w2i0jlCDoFFwMT3JguoZFVqd/E5hdPQLuvsNJdFYNp13EcOYxK6VINi4JFwh2jUro8f9XU3gUiXMMbdzsRy+0tBvzaZkavhYehmz9iDLhyml/3JwO3EXAG90ciko5tPIYB/TRAA0VEOgMviMilhaU/vzt/cWqHM0+PZsyDpf8VCquu7XA8pvNwHpDzSsNLMrxzJ12YmZszV1XT/e1UdbWIvI8JvD6uqv1F5BSsbKufvTkbq3gSCc2xKKiHCJsOEamEzUmz3TP98NeS/0tL3cYRFR2AGhHOJ2JCmBcHnxjXrLNgm+bTsZz6cS0m9zlUja1Q+BCz5yYFHfeXctyiqttF5CasCtokEblTAyp3qervIjIT+51H1AgIhohIs7LtHjo+KVTcrwAuC9HPiHjjrJ6NsHFxIrChbulaW37fvXwAllYUWH3oNWCKiJytqvNE5HpsjV6vqtNdG799HbJcsktz2KKqmY7dF2ks+4Nzd6iVqkZV/xSRFRwoA3nUI+5A+GejQO5gCFTBBu4o/wGfx3saRiduHtAux+fxfgY8kJqellFUHVTVVSKS4R/YAacycA6EgLZjRKQFFgVoATylVrMWbNMyU0TeUNU1sTzbpU70u6XaBec3Pa5OLJcUj6URgM/jFSya+hSmSA/Ag7VSaVm54b7qyceHMgYeBX4Uke9VNUOs/Ms4EVnnUh1mY06hcDgXmOc2KGE9pI4i/jVGq+wZdPod14e3NECDIY4jB5/HWwFL5YmGtgQ5EHweb3us1FkgO2Gdz+Ptlpqedsj5w0H4CGOxvBd8QuSA0Jgbs4+JyDXY77uTi9z7HRF++nPrWB8sJrz6RlJCQqze/cKM5erANwRQlUWEAed2YGbG8m+bVKidT/RRVdeKyNsY7fkRVZ0mIsECqf40hu/DPPZS98waQNjcUBG5B9O2uctvqLg+5IrIAMyR2CfW9xrHYcdN2MYiGv5DQB324Y27lcOcurcSYNcNb9xtPNChzYxeRVZqzf12PsfyowcEnAq1Ji8SkX9hm+rvROQOdSXKVHW6iGzCIpAxOevEys09kVKl0u0dzowpAyfmcQyw6toOt2DvqZT/WOvqdbnwhJN0y769ocbJG5hA7LmqOoeCAqlLMIZQSIhIcay03lLgDmzNDdduNJCN6R8FOlzGAs+LyEmx2jZx/CWIxaFzkc/jrZGanrbSf2Bcs84XYk7fcwLa7R7XrPObQNcWk/sUpXP/B+AVx6IJFNTON5bd7+19EZmMOQQHAa8G/A57AmNFZHiAzR0RIlILeCcrb08kJ0sgYh7Lb5zVsyQWfMwnMNqx5u0s2b1i3Wmlay4IPK6qOWKaEG+JyMWqulFEggVS/WtyuLLwfnYv2L4ppPNfTIvhZUwj5pug0y9jQc7xMb7VI4p4CsM/G1UK287n8Z6CiSg1D2qThBk1P7hqBUUJv5c0EH4PaT6o6nrMINkA/OynBjv6c29ioD+LoQ0mhPJzm2opd7t7RLxu/b7thREXfBJLU8i3oVFVapeuUqJEYrHRPo+3WNC59ZjB0su93oZRvt8SE2rzq8yGQ+AEVx0oYGyI5XCOxnK0/x0cGVLVTWeWqb7g9bPaf+XzeKf6PN50n8f7gmNSxHFkUJHY5vJ8493n8T6Ija3g1IaqwACfx1sU9N/9UNU/gd0icmbQqUxCaBK4POPLgSdE5EVnRIMZzOVExBPtmSJSzrGP0oBbSiYUDym2GvRcnb9zdUwbLida6SNEnnOCJNCkQu1rCB1RfgvwiEgj98yRwGDgfy51Ixr1+QJsforkCPwX8CyW6xlsqHBGmZM+bl7xzAdGpTz9jc/jnenzeL/3ebztD8P8HUfsiHVN3p+qNLxxt2TM0dSOgkGhS4BJwxt3K+r5+SNswxuI/azAQKjqXlV9EHMc/iQigayALkCvWOjPjhU3GSjdvt5pF+Tk5UXdqGzO3LsiVkrwqms7tMAERksFn6uSXFrql684YtW1HU4OPO6imP6NR6JjWLQFWouIX+h4u4hUDPPYJsB0t86GHMuu/wOwNfsal7YU2AetU6rq4EdrXfu/kU27ThrZtOuMkU27DhzZtOtBpYfEUWQo9Fh2zoMfyO88ACiN2YyDHDuhSOB+n19QsJJHuLE8H9M4OQP4RiyVDscS/BpjXUSEiCSKyKOYA/ylikk13oilr7tyNy+PpZ3De4SoTqKqnFa6ZlWsNHrwualY6de73OvfsRKPI9z4jbYmN8fmt+OximWhBGSrYalOiwnBhlbV9HPLnVrrw3M7jRjeuNuM4Y27/Ty8cbenhzfuVin6W/7rEXcg/AMhIrVE5O7ZGSsi5tn60W/Zt3eKSFsxfYFniTwxNsYGXVHia+CqgA0EhIh2+KGqearaB6MKjxCRtu7UMEEa9Dj93+19Hu9bPo93sM/j7eHzeGv6rw0Y4DdhJRUrtp7x8lcr9mzMiWSHqGpe10WfNhGRb0Tk4khGi8/jLUUIKrl7vt9R0QAr+RaMd4HGzpjyb8puw4ThKgJZEjpPDQ5McGWBXcETnOvzIKzM27XBhorre8cX69/27zqlT7wGaAqkYFoNi30eb7tw7zmOooeIFBORC9vOeuO/eQWqDhXEtuzdeSLygoi0ePq0608kuljg8z6PN5zhe7AIlT8daSyvwZwIOzHK/qnud9u5XFLJF0andH7Q5/F+5PN4P/B5vO18Hu9+R4SIXA1MwQQN2wN9uiz6LKpw1Z+Zm5c+vmDwCBHpLSJVozRvg6UFRYLXORoC31curu67cxigAQKpRBBfE1cqykWMwm06amIiWb9jmin54PN4y718Zruvnqxz7UkJktAKS0W7HHMo/erzeGONCsVRBBCRSiJy01frpxWgM4fCyA0zrhSRB0SkvpoAaaTNYiWc07mooKY9tM8x2fwIO47dNV9izv1nRCRNRIqp6hJgeqsT6z/1a/PHXvi1+WNDfm3+2Mu/Nn+ssf86ESklIi9hzvO7gV/vnTB5+tAlf0S1X5+bOScHmCwiN0sIkeUgdCWyTXwcIZyBjuL8K8bm8WsWBQqkzsbYf6HgFzUG06oJVWXjIYwF+oiGKI85smnXS/vVb9+j+QlnX4Q5Fs/DnDvpI5t27T+yade/TU713x0u+HS2iDy6fu/2iGKnfvPr3rnvPy4iN5RKLFERo9JHuu5mzClYlPiIwq3Je1S1A2YrThBLOQR4IUkS73v1zE63f9ygx4CPG/QY9HGDHo993KDHfhtCTMPjZ+BkbC64alzGG31ydF/E6FyOZmVM3PFBRxH5UEzMNCzeOKtnXcKwPwLs65vfOKvnGSGaeLEUycruve4XSMWYfiG1Gpzt7MEqO4RMX3DBuVFYdazrgxm8wxt3SxjeuNubXU+79exyxUr9HzaOL8QYgr8Pb9wtlHDtEUU8heEohotAX4flNAr24xyemp4Wri5rSDgvYXNsEboQWAv8sCt3bz8szz0s9uZm7ZiwZUEZoE+pxBJZ2Xk5NYslRP3Z/BcnUFIUUNW9IjIWuBobyBDGQxp03WQXhXtfRC7rdlrrnmeXO7ls2aSSHwY1fWZUSue0a6b1XYk5HZ7FlF+nY5/7sycULzcF8wyXC/UsEXl0debW10TkfCz/8QWxMmvDtWD92ssxYyQkAnwPt2De4cD3lCsi9wPvisgFqpqjqrNE5Aksr3k+5r3+JeieSRiVchE2MYWKWnbGDNFOoQwVn8fbEngtjG8kCRjo83iX+MtZ9q33bH1sY5INTHhq0TPrw73nYx0+j7cqFpmqhS3Ow1PT02YU5h5ukToTG8eXAXWAqZuzdv6wLy9nTMnE4ldGun7ejpVzMIrzDYt3rT3ukor1C0TagpDs2hel3sWXmGHdOWBc+NlEIX8fbqF9VkTGY1GPXqNTOmfty8s+341vP+4E+vY7s90djy8YfDs2Vh92f72B5Yt3r70Ao14/HaZ/62uWqpSKVTS5DRgtVsbt5aAUKj9CCbwGozI2//qC3tdMEZmK1b72R2G8WB7pFZjAUigEbjrqYWkh++EchN9ygO4cKtXoQ+AiVQ0lQlcPqyrTKDU9La9y+fOLu2dWwb6jnzZmTClSjYy/C8ae31kwUbFWQBkskjT48il9CqUjISKl3H0uw9JRcoBxszNW9LuuSpNPom12x2yavQboBjyyau+mGjVKhtJOzYd/D2/c7YE2M3ptj9awEPA7A/3O8JCswECo6kqxOvPdgR9PLV2x/cQL7z+hdFKJYLHmR39t/thX/zd14ADMgB6M0bq/dM8YmiTyIlYKNVwuw9D+F6a0/XDRklOxOaCbiHyAUYfz5ZOvurbDicS2MbsZJ24chK5YDvWXqrpeVbeIVUv4BhOCbsAB9l8gmgN3uu87MZj+LSJXYGLJX+gBraP9GNm0aw3gawkvbPwwJsr6OsCght2rYb+7JGBmu1k9C6UjcyxhVEqXMpiN1QDIwuw731VTexcqNVNEamDVey7DAmgLgbG5mvcultIS7jrW7t224s/MzY2A808pdUISUC3MnByI/3Jg/j9kqOnw5IlIXRd1h9jG8uciMgMYIiJj3zzzya9EpHKpxOSPApq1BXq/e7b3wXt/63MKZsN3df/OA3bnkHV7IsUTsXESKn0rK0mK35RH7lhc2UURycJECH8IEekvwDwIRMBneyNBKbpqeg+93L3bumNfiCvjiDEoK6hq8DxaC1itphNWwKnvbLePMbH16zW07tBjWEn6UN9/BWDk8Mbdzmgzo9c6x0LxYE7HnRw+jYyIiDMQjlL4PN7GmDf6c0xg50FsEf3T5/FeGulaESkpIpeLSF8RmY6VCmmERakbq+rlqtr3wuPrvYGVAQuL5MTij2fl5TQEUs4pW2NYsYSkWLzZMQkGFBIDyV8GLuoEB/tp/v9OTig29aTk438rm1SyXihmUYJIlw6ntLgbM7xfwRwJbwKnqOprbWa8PB0TVvsaK7vix2ygTWp6ml/RdYqq/htbmC4CFojI6yJyi4jcLSJdPl0z+cEY3/PxYd7TbExM5oGAYz6MtnUe9l0HoxEwM4AqmU+AS0SuwwkrquonIa4Ho9BFQgLQqW+9Z0/vW+/ZCZgzYzC2MKzqW+/ZQX3rPRvSAXOswufxis/jfQYrr9gXuBczuKf7PN7RTr8gLESkulgJpSHYotQb82A/gdULv11VB5dMLN4ZSzsJh/UXVTyjFZYzf/tZZU9eGaFtIIp0LLvo3I/k1+qIGLkMuHYicHFKhToP5mreFyUSioXaZJ1Yq1SlUfXLVF+HCckNxt7DDaraSFVnYZv0/2LReT+ysYi9JzU97Q9VzVTV97FxMwJ4U0Qmi8iTLpr5kIj0Wp25pUmMbz3kWMY2gfc75pO/xN0dmAOhrFi96mAEOxD2j2UxKvgnmPPkRlXdHHyx07Bp7dqH6++5wOWVy59/NxZ58WEG0BhgReXy54dS4T+mMfb8zidijtkJ2KbuXmytWD32/M4R53Qx2m5TseoiP2HBgOswhszlqpqiqt5p25cMF5FXo3Tlgz92b7gQcwj3qlL8uFg0E4phUb+ixAjgugBnxw7CONgD4Zze3YDud53SdFrppBJtgtdk9/r6p0+7dCAmnPoAZtRPAOqp6oP3Tpj8JxYQeRerbOLHamx+vL3s+4NVVZep6kOubSlMC2mIm1fvEJEnb5nybaw6ICEZWY6t1wPLYfYfW4Y5WNphxn4+iEgycKJjEdbCynYGnj8dKx+9mgOijMG4D3NkRcLjQxo+c/yght2HYuvQp1iqxsJBDbv/OKhh98Nhrx3VGJXSpTX2ub6HlcR8BLP9fhuV0iViRQAROU5E/k9E3hSReVgk/iTMSXOmql6vqm+eVPL43sCKCLfKqZZ83O2qWhe4smmFUye7+0fr/uH4vj4kf0pSrGvycuCSqiUqHq/otFKJyaHWueQSCcUGtKjY5CzMXv4IY+h0Amqq6pffbksbjq15wSKJ44BLRm7tPcYxi79V1UuxNfxuYK5jCt4kIveJSPc5Oxa2ifE9h2NXfgpUFtNR87/P/tjvpSQF00sgwprs0BlzLvVQ1QKBo+GNuxXDOZsifP/lgXvGNet8CeZ8mYytySOANeOade4zrlnnv5QUICE2U3EcYfg83loYJS7c5iITOD81PW0OmHGCGbr+yGRlbCD+APykVq4l3LPKY4tJsAhbJtA5NT3t1YC21YFV0Tykqrqx5dQ+seZ/xQTnwZuOUevXOhpTd7dZjwqfx9saYwOE7fvOnMy8trPeWL8vL2cY0Cv4c3MUpErnH1f39GrJx9Vblbk5efr2P0TRSthn7v8riTEXdgDbsImqFlb94Mv7Trm85LUnNo5qsGzclzHm9tlvtQyTS1UGM0Kv0ADhJBH5CDNWzgi8TkSeAraq6vsi8hwwR1U/d+fOwRwj67GoZIHoos/jLYctKhGhSvbcjBIZYLlxITAVuOSpRc8UikXzd4XP430cK8sWDuOBFqnpaXkAYqVGL8HG8UXY7+cH9zdd8ysHBz+rORa9DqbdLwJap6anLQho24MY9EBUtXfLqX26RmtXGIil33RT1evc6/7AKFUNJxiYD6NTOo8WkVClZw+02Tgr47Xlvs0Y0+CLoLEgQIUkSax8VeWG54FW+zVjed7qvVvLcGAMV3J/iZjDZjMWpToFKIt9H98NavBAh0olygXrwRTA3B1/tn5ywdARoc65SOWNqnpTwLHjMAdyF1V9J6j9b0ATNbXnRQSMdRHpjUVgXnQOkALwebyPErDRCYfFe7ZP7v3nrGYRmjy4MWPKm9Hucyxg7PmdSwDTCG08+tHu8il9BsP+39hpHFiTzwRmYr+bcW7TGBKjUrokAi9g0eNA54BiufAPXjW19/6qSMMbd1tDQR2TAxcdWPNqtZnRa0WE/hcaIvIO8K2aXgkiskBVI+nw7MevzR+rqap/SJgF2d/v/8wYum7Rro3TsEoH+Sj+YqKKlZpWPuGUC06scu7aPXvKfb18Ze7e3NwTsPHrH8/lsc9vL7AJyymvjWklfX1W+YoLvvvXDUMlqHRsMHZmZ6090/dRLTVNpeDPQrBgTf/AucyN70FAZTWBVP/xS4C2qnqXWMm4i1X1cXfuOMxZlQxcoPkr0ezHyKZdF3Cgtn34fuckLMxRCdduA5DSblbPsL/JYwmjUro0x3R0wn3Xa4CGV03tvQlAREpgwaPLMKZBMWyz+APwc+B3Ggxny39BwXS0zcCdqelp+wX5xjXr3JIAsfJwUNVxl015vtDVRSLBOapnAGerCQreDNRV1Wdjuf7jBj16EMWeWLFnbVaPJe9vwljPb6jqfhvQjZ3SQOXqxc85u7gkn7otZ23ittzVxchvW1fCUjwUs412YhUWqmPO2K8ernnHeXVK17wvWp/X7d3Yr/fSN4NLofv7Uwf73lL8/XTO+RnAclVtHdR+CPCmqk4Rka8xAfdF7tz1OOenWrpZAQxv3K0ZQazh0NAlxxXPrYn9BkNhCNCuxeQ+f8nGPs5AODrxOJGj6yV35mSmOY/bF5h43mOY6uddqnq2qt6nql9Ech4ApKanZaSmp7UCGkzbtnTU3B1//oh5+08KdB64tqsx733Ezv+4+bfiIvKGWL3VIoEzkAfhaEXEkMIQhFsgsne3bFLJhGurNJ6IOU9eENMzmCIiC0VkITbA35uy7fd2X6ybWnPa9mUJim7CNoFvYtGAi1S1vqqe4aJKqaraBDPwBgC3vb9yXKPsvJxw5dn258Z9sPKnZGCeiDwjltMc2GYXJkAVHK16GKNJBec9+2tNQ0COllhpqGHYJql1KOeBQ6hIaAGIUEzs+eGQQuga4sccfB5vaYyuFwmXjNow61EReU5EpmDR+X9hhmgzVb1YVXs5ZktY5wFAanraT0BN4KZRG2ZtzM7LeRHLMzwz0HngELaEJxz4DT6xcEhrEekoJgxUVJgJnCyWyw8xRjvAamtHcx4AXHR8/WSMtXQBphr9vYjMduN4PvBdjub2/WbDjEu+2TCzwuq9W3MwxfQvsZzHm4EGbhyfpaqXqOoVqno6pv2xDujx9YYZUYVTt2Xv3vH0wk+eFhGfYy8EixSOwOpT739fjjn1Fpbusd/wd1TKTc55UAHYHuA8uBVjFkwivzp+MKJFLAHYnL03mkjli5XLnx+VBXaM4EYiOw/I1bznSiQk/UdEPsTW5P7YBrAH5uS5VVU/jOQ8ALhqau/cq6b27gScsmz3+v4TtyxYiM3nta+a2vueQOeBw5cF73IAIsKqzE17b5z53AsicmW0TXIhEcwMLAzahHMewIG1+o4aTf4E5gCdROQLEflZROa7sTwTGDxt4+aHXpk7/4zPli4vvjc3dyfmqP4Qi+pdCdR363IjVb1SVS/E1uROQJPfMrbctzpz17RoHf56zdI1WNTzNRE5L7D/bhw+CLwUOMZV9Qtss/Np0GcfKGocuCYnYWtycazMW6Ty2DGty0R2MlShYLWlYxk9iFzp5KQ/92zqKSJPiMgYTDzvP1jU91pVPU9VH1dVXyTnAUBqetpyjBV66fjN83/9c8+mzzAb9uRA54HDBMyujYj3V44/S0R6iVUxKBK49zEJYwFAIdZkh4ilSlWVmqWqFT+t1MmfYY6Ad0TkOxGZ7pzgC7Cx8PrqrLnX/7Fv2onbclcrFvUfg23A22Mb+jPcWL7A2dcNsADdOODRT9aOTI5mK+Vpnr678pPzRGSas2/y2azOUfk5AVplauzAx4ALxCqgAfudH40x5wJY+vMyd+4czFm/HWO6hENM4zjBAhjhnAdgaZfBZaMPG+IaCEcZXHm/W6O1K5VYomX5pFI/Z+TseRZXmu9QnpuanjanpcgvwEpVHRKhaR9geLiTOXm5ucPXTd2O0SvfcovhR8D/nFF8KPgfVtbtBQo/wcUkBlc1ucI+jOmwMeBvRygWQGHgIhZDRGRojuY1f3/luDr317wyZOKqiDA7Y0XGxK0Ly2BOifrAUBHZh1GWvlDVXar6lYi0F5GrVfU795wMEdkIXCIiK1V1sJj4ZA3cpIZ9N0vc8REYW+JOVV0brv9PLRi6p1e9m/YUT0iKmDeflSsokR1MGH387WiNjgG0JIbfaNXkCvdiJdleV1fi7GCRmp6WBQxrKdLjteWjw6acpKanzfZ5vD7MwZAP/sjfol1rt8zfuToLSze4X0RmY+rFPx7KfKOqKiKDscXuJWJMR3IIqx0SiFKJxYsDq7ANxkYs6rgpMOpxsFDV1cBTIvLcV+um35VSoc4NZ5erEXZT/sHKHzcrOg1zgN4I9BCRCdhYnuI+jweBkSIyUVX9dOyfMDrkMBG5wm0kAqmSgZuOptgmYDvwQKT5av7OVTvOLBudzb52355oAYaSmOH4TxjLUUseJ0pCjUtOqH/595vmfQjcGypKXRhcNbX3GhEZCRR7fumXkRhrr2Kb+LDVM77ZkL5JbaP4NNBfRD4DBkZzZsSAacCpIlJZVTcCeWLVCGLJI49pTa5Somwuxt7bxIE1eeuh2jxujIzDbIr6j8+e8OzAplfmlUoqlqAhmIor9+zIeWHR9HJY2lEuNmefLCL/A4aoaR/8ISKfYJTlZwIun4gxmF4VkY7u2Zdi6Rdg4/wj9/+XsEjrm2ppWyEhIkkDz31oa8XiZSMKnqpCbnTr5eZBDbt3bDer586oLf/GGJXS5WSM2RcRpZNKtMXSYB4Alh2K/ZeanqbATy1FFgMvqKWgFkCLyX32jGvWuT/m4AiJHdmZmaM2zN6JVe+4RkS2YmvyiCKlSe2yAAAgAElEQVRY2z7ENsijKNyaDFHGsn8snZRcec+SPaumcWAcbwJ2F4F9vROb197YmLXlholbp11+ccWU6uHa/7Jt5rot2duysO+4BTYHLMPG4GgXSHsRSBeRT/SANsRMjKn7jIisVxNZrAv8oarZjhGF+39lzBGYhwXnwn4/P22es7X5CecSat4JRKJoLKUs76ZgKshhQZyBcPQhiRgGbqIkyKfnPTxYVecc6kIagApE8YCmpqd9gTEkQg343UkJia1WZG6qi3ndlmAG/63ADBEZKiLNJYaSTaGgls/7O3A+sAujEseK1bE0alm54VBV/VJVf1HVJaqacaiTWyDU8OM362c2+nr99EEZ2XuCm+Tty8v+X8/fhy/BNtqvYBStSzBnQl1guoh8JCLNMYXmvpI/V3oRZuQ8LJbH1QSYpqp6TrlTEjEP5j7M8C8JvBvOUBGRBiLy/tydK38fvXF22JnN/xFtyYopuPVPybmMqmwG0LB8raWq+smhOg8OArcSgjbnFrD0emWq1cUEP78FtmA07N6YrsczLhp+sBgC3Oa894VxBm6MwJLZDxFZpaqDXJToV1VdVRTOg0Co6s4cze2fq3kn/bJ18a68gtPEps/XThk8bvNvL2A5kQOwVKGzMHG1R4A5ItIFMzKGkJ+xMhvLW38C+EosbWm/A0EwsSYROQnTegBLhcgM7oiIlHDsh/TOCz/x7sjOjLjBy1PVSRmRAp/7ER/LAXi89tXfqOrEQ3UeBCDqmtxmRq8lwPXYmhgMBZ4ev2XOKdi6PRuLvl4J+ERkrFj+cETF+HBwa+NgDjhYdhL7uhzTmnxO+apjVPVzVR2vqgtUdXMR2jwAqOqCyZvXtPlyzdJ2y3dlhDLiJ94y+bul27P3XYE5Pm/AIqKpmADmty6i+m9MEPUayV+hYjY211YEHnfrdQVVXTvGgkb+sXw3tsFdTBiBazFdnJ7AnwNXjavt+h/2vWUreTE49UtgefzHOmIqh3dC8XLZqvqOqi4tQvsv6lgGniM8e2xNuWIlU3bl7muAbXRXYdT9B4D5YlpbkcoMRkM6cJqLxhcqQOec6lFxx8nXvK2qI1V1qqoud4GworSvc1R12O7czBq/bJ0xNyuvgKmwd/Xe9QM/XzdqDDa+PsYcGQ2A57HxPE8srfIM4FEsECru/juxPdrNmDh7XQLW5CRJqA0sc/PpcMzR+KCqrgjuiBiai8iXb/05cvRvO1ZkhXMe+D+i4okxfVQxVdcrCsQdCEcZUtPTsjFjPSKcgRIxPeEgUJ4YKFSp6Wn9sMH1yuJda/eo6jiMTl87NT1ttKpmO8O9HXA2NlDnYHlkrwKLxcSkDmbB+hCLlsc86YhIheeXflUDIi+02IRcZOq2UfpU8p0/f7jqrjnvdF+zd+s9P22e/+MHK3/a8NBvA9+6fvpLj+/Nyy7Lgc8sEfMoFlfVLtgGZAhWr3YURqfuF3D7WVj+7fXAqyeWqNC+T71bKvg83pV9z7g1e/h5j9Z+4Yz/TDg5uWIj4A/MSRHYt9IicqeYQvyn2KT6RomEpPqELjPlFIW3Z27elxjtMwYzMv8JiGkHhlVFKTI4B13ULyE1PW0bcDFw3dasXT+tzNy8AWOk/B/wr9T0tK2qulFV31Sj/F7rzmdiZU5/EksNaCP5S6xGhapuwhgxKRQiHanl1D5nTd72eywVAD4qTH8OBZ0XfXLpc0tG8PPWhQ3n71z1yjfrZ8zv/8eo32+c2f/RD1eN/xSjr7+ObTp6Y5GNn1T1RswxuBUTirsCuEUOlGjdin0uYzGxr2ENyp1yybdNn3rU5/Hu/rbpkwM/O++Re2+s6vm5mCRmAQ+piVrth4jUcYytBViOanK25t5RJin5ZiL8Roatn5e5LSemPXB8LJNvXYl1zMeKWDYdtJnR63vMcOy8Ys+GtbtyMmdj6279NjN69XWO6+mq+ii2dnuxNaWO+//vItJfrMxaYTEEaOuM7JjGsogkXT91YM2svIhM48DUxb8Enef+3LH5T8PGbd6Xec2YdSu+fHnxjHW3pY/6qsbI9+5flblzASYSeT1Gq/4ZaKqq/VW1MWYDNcMYjH9ijEP/jmAWJkx6B3BVyYTi3e6ucem2MR7vXCDnq8aPNxvc4IHPzylbw4ut9/8NtHHERDivFpFvsJTJ9oBv7o4V5wDfBW88/JfuztmXsykrX2GHSPgnjOWYKkFp5LSRg0XUsdxicp/cFpP73A2cn6c6cNGutXswAdt7gXotJveZp6q7VfVTVb0WC6YNxMQxU4FPRGSWWHpzodLL3O9tKOYMjHlNFpFTvtowIRZm4JjbZ/coUlsnHEZvGl/903Xfnvraio+uW7N3vXfytl/Tv1g3eu2zS17r1XfZOz0Ura+qozFh1YuBkVgVhfsxZ8IvmDOnHzbmA6vEzMdS09oDw08tVaXNgHPvb/JtSpfNIxo/teB/jR5t/nCta6ZUKFa6BPCZmsD5fojICSLSCWNVveGe16VacsWmhNEZExH+zFy/u5jEtO35y8ZxXETxKITP4/VXAQiLSVsX7ei95MsXgLc1is5BrHC0xl6q+lshrolZNMlNaP+H5YDVxqjzS7BB9G2MkcVEbOA1xkTlIj5bRG7B9AlIq3dzcsPytcLSPD9d88vwj1dPvLEoPaIR+vU6lq9cQ12+lljeZFssV6oSlv841p07D9tEfIHR4PzXlMO8oS9h7Ix3MPHGFFXt1KaaJ/XaKueNqlyifAHX5p7cfblbsnZdcfecd3909zoL6IBtZPzK0IOwkpx7gfp1S1e9+L6alz9Qt3TVOgmOSJKTl6u/bFuc9ebyMZkP1ey4u2xSmWiOodefWvRMgXraxxp8Hm8yFmULp9yNiNBj8edzp25f2hX4rigia+438b2qRsthD7zmKqCFqoYtOxXUvj5GX/fnPiZjzoV3NUQJ0DD3uAZzSgzDckvD/iZc9P19oFXNkpV2vHJmu8rJicUTAyl//v9vztqZ/fpyX8up25aMi6UfhwIXSVwGfKSqTwccr43pkaRiG/UmqrrDzV8PA7cD9zkKpP8a/8buBsxx9zGWo/20qi78b41Lf7yhakrzhBBRitWZW/6oXrLimanpaXudM+c6bCyXx9hGxbDytKOw32ODm6s1u/XqKo1an1C87H7l/G1Zu7KHrJnE2C3L5lUoXb9RNEol0GBjxpQ5hfzY/nYYe37nm7DvJCzW792edcfsdwfkoS+rKfAfMkTkMSyFLpKmRfA1IwCvOhGvKG2LY2wEf+5sFsZkeBP4RIPKHUa4z1eYc6wTkKaqcyO0PQ9bx46/v1YzveuUlLCVG8ZsWLzUu3DUOaFYNUUNMbGzjzEl/dXuWAJWcu5RLA3wE+AZVVUXAHkPo2E/oq60m6Mxt8SCJQkY028UZqtdcEWlc6qlVj53xZllTy6Qy5ynyrI967s+OG9gb3evalig4BbM0XwS5rjojQU8TiubVLLxw7VaPXxuuZqNSiQU208BXLBz1b43V4zi5pNSF55V9tRokenp7Wb1bHoQH9vfDqNSuozFBBHD4tM1k9YPXjOxBzCoqH57YuK358S6xovpDn3jnPextK+Gpci1w5i/xTEn4duYgF9Uu1ZMl+g7bFP9o6qG/U24sdEFeCI5oURmz7r3lK9S4vgSodaM7Lwc/Wzd2G5jN03tHct7ORQ4p90vAKraLOD48dia2BZj9Z6rqqvcuWsxBkIaMNT/WbnP4x4sJWk8xg45A3M2fPSf6hc9ed2JTfuWSixI4NqatWtPckKx+jfOfOlP16d/uec3wBxZJ2HBu4HYd3VOs+PqX9Wm6r/uOrlkJb8+FHtzs/LGbv4158v1k9YMO6/jicUSEsPuYRw6tJjc573CfGYHi7gGwtGJfpgXMBzdamel4uUuxX6Qk0Tke+AVPfR8xpiiHQcLt8AOBAaKSBVssrsLM1beFpHhmDprWMNHVXNF5MumFercX6FYqVIjmnS6qVRiifGp6Wn56N9u4H+NCV/tAF6bu2Pluw3L13oZM5b2z3C7cvbmJoh0+Hj1xAuAD0WkQxFSUAtARM7E6OMdNEDsxS1U74nIAGwz9oKYnkE/LArZDMuPmygid6nqQmfgvScic7EyQidjDoXyiZLgG9n0yWcTJCHkDqBUYonEksnFh5YvVqrrjpzMOzDjcYU7vQYTtTkdY2UUAxb8vnvd74/OH/TNScnHn1OndJUzyiaVXLB8z6ah83eu+gJ4blrGzKotKl58Y4S3v8f185hHanraXp/H2w0TwysAt8iOnpnxx+MYvbiXiLyGLWAxh41C4GDGcQVM6CsmqOoCrK76M1iKTFvMIdZGRLZj0c9PHOUvHHwJyEv31bxi3vp92xv4PN4WwITU9LR8YUkxFfMBWGRuxYrMTY8mJxbfjkX46ga0Y+O+jJWjNs66c9r2pf1FpLM6dfjDCH9uenA96WXAQ2Jq6ouxXMpRwGuq+rL7/wdiujPPqOpeVV2IRXL3YnPWvViE6dknarf6sHXVlEtCbeZVleolK566JWvnqyKyBXNATMU2gicA32NUyg6Yo3EbMPvTtZPXfLZ28ifnlDvlwsrFyxVPSkicNGnrond25uz9Axifp7mTEyQxUhWGUf8E54HDCCzfP6xBfXzxMm3zUAH+JyIrsEoYBUp2FRIVsOhiYa+Jafy7dW4kpr9RBmiFrck9sfnoZ2wsT/p/9t47PKryeR++ZzeNNEqA0HsviYSSJfQemnREBKQKCCigqCwgRQgqxQYqTRCUriJ1EWkikNCL9F6lhhJC6u68f8yzZLM5WxLw+/m9mvu69oLdU/ack32eZ+aemXtcOCDfBXsHvlknd9ncIYFFO2yL+CCp8Z6P7VsF54AQ3F0BxANYteDKvrH9iof3hTgizwzjFIuZH6cmfjP+9OYzALYQUUcWjYV/BOrev4ZoGTxLx1bOnvX5GCFra0sVAFgG6V7VG8BuInpHZV6mAFirxvYeSHnSPACViei1tTVH1fbSeXhqOVo6IpTxLTCpbXD1O+vvHGoFIS0OII3Y+R6yxi+FtIY9H5eacGLyuZXbAj1yXK0cUCw8p4fftYcp8b9GPzyzCECj1X9vG1jZv2QiSdtIR3C3jeW/AR9CykQcZc1depyaEAlxxA+RKOy/iECdLpMBgtzIxDrOomH1OUQLoAyEdOoNySowk4i7zmUnWlfMfIuIbvQp2qTt9YR7hdbVGtsWwI62+yanW8dJxAHXQkq7YhMtSR/qQJsBLCaidG3mH6U8SYg3J3T9/d6+EURkAfDxPxyk6wCxW9OJCaq/31QimgnpcreBpA3nDGa2jtcvITbMQGa+zcy3AEwiousQIrGBOv/9kr7B5z+v0vcDvYOK7Dxe/r6pFvMyIloJ+TtcgoxhD0gWw1ZI+cNQSBvpY3senLy258HJlaV8C9Qq4pOvUA6916GTcVcXXEu8+zuAX08/uXmwamBRZ20qr0H+3v8nyM5A+H8UJoOxMqSGxr4n7WUAr0ZGR0UDz9juVyAZC6chRkuWjDqVst6EReHfnf29AcSwqKBmGSRqsj0gQlABkJTezyHsb7prMRmMJZ6ak7731XvbCuGkQqJDw1rGTH0EieKNgwzKHyAt4571Q59QvkvI8cdX9zTJW+XHUn7BOzofmFkn3py0HxJtHwOZJDqz9HZ+bpgMxlwAOgMobGHL/dePfD3gXnIcA6jmaCIlojfUs9gOEbapBHG8l0IYzG/V/2eyEqwiom8gE+MCAJfDc5U9OqF85zauoojzr2478NPfMY8hjmASJGp+EJJ2aRX8aQwR09NBoinrARy2XRBVNGv7wKJ9T5T0Ld4fyFB4GQeg0/unP9zi8qH9i2AyGIdDmG175nglpJVTPACoiNbbECN+ISSan+nfoFrcjczcLRPHDIGsB7My+30259BDUvIHQCI8OogB/TGA3fa/dZPB2D0uNeGbAI8cthHIGwDGR0ZHLSDpELIO0qL2PmQcrLD+5kwGo27uld+/8dP7dHutSN0p1xPuxww4NvdbSFlEDog6/Q/MrEngZAUmgzEUErH13vfg/ONJZ38abYZlrLMIMRHtg4ydVhDNkrMQjZgjkIjtKxAycb/aPw8kglIfokHR01imfbV6QRWdtsZ9mppk7nlk9i9PzUmVIbWxcRBD5bB6nYF06Wipzn0CMo43KUPJ9prDiTzmBPlXTyIRaLTHnwDa3nm09x8jnP9fw5bao/NA5twWdpseA3ir2d6p3wPPImCNALwHcVI+BbA5K0azIhTXMvPvmTjmMIDa/ByaH+o32BmSDVcUsi4shAi9pvutbIv4wN/Mls8tbOnrqfOwnfO3AxjceM/HZ1SEbwmEiN4NqQt+RjAcajQy19SzWy+G5y4W0zhf2TU9Di7lU3G3qzHzYCJqB+mM0pnTxMyeC2dbDPWCZD9VAvC05/5fXtr34GZTSLmRJpGq5tWxkDH7FsShWAIRQrRmSF2BtJt8rI7pDaAuM/cnoh2BHjkuf//Sm71y6L2cpvXsuH/y6sfnf7WWMBIky+GwzSsWQi62gYz1LZDIcQb9DSKa3Sp/7RyvFGrWFRnV3hnAO70OT/wM/yFsDB/TAlLmVsBu0wEAXVrFTLkMAEQUACHUBkCecZYDdZnJ1lX7V4dktvR0ubPjcxAkiNYXQtx5Q8pQPwXwq33W77paY8Mfpz79MdDD17aO/gmEXBv78v4pBMm66Q4hAadDbNBnWRrtCzTslcrmb9rmrzvdR++9r+/Rj0ZYYPkAwDFIICAJwJvuZBy7g6Vh44tASPPcj1Pib488OWtcgiVpOzP3cHSMmlfXQ/3+IfP0TIht2x5SvjCRmVeo/XWQ+Ww0xEnf1LVQRErPIg0d+j5Wu3vMqR9/OxZ3JRBSehwPyVi0juNjkCzB5pB15R5kHK+3n+uIKJ8OtGNljWEnc3n6apEIVwFENtkz9ZTTB/YCkU0g/D8Mk8Gogxji9SDGeAyADZHRURkEsNRE0RwiuGWG1NluzYzRQkQnAFRx9xiVRbCcmV32Qc/ENVSBiAVaJ7sYiPGwa1P46ELqfWEtpzjRnHyi26Evg5IsKUGQNL9+rC1eUh9iCNZm5msqW2ELgDAW9dQekJTFDsyc2ejPM6iOGqMhRscz5zHVYsbfSQ9XFs0R9Jp9tNXmGusC6MPM/dT7IhCjpS2EFFmkrjFc3edZFe3c3bFArXbeOo+1rxSKeOit93SZxv773eNJMy6u3wz5zcRAJtMmEOOkHoBTSHM0nNYGElExAKauBToOCssZ2h7i/CVD2Nbv3j/94V1X1/NvhCKRukHKQh4B+CkyOuqM1r5ElBOSNtcX8ty/YDdFitTx9QF0Z+ZBLndOO2YMgMvM/ELYa0UutoIQImEQ3YQfAHzCzHdMBmN/iMGtid/uHtv02cUNTSEk4CSI4abVe301gCKsyjVIUr79mXkSEflCxvk5SF/mLJeHmAzGAhBmP110JTb5Saq/h0+bl/d9utnRsUS0CMC3zByt5ukmEDLEF2K0XIQYVlsBTGLmJCLqCaDx+6XbrXqU+vTLl4Or51Hj2ylGnfzh3l9x1+ZACMYbkLZPrSFjuSikd7nV0XCa5UJEbwFUPW9ArZ/VnBgMSb1cAsk+cEdp/1+HLbVHvwSZh/0gpMzKZnunarZzI6JQSHZRJQgpvjwzhjMRLYZkrbidyZBZR8WN8xWG1Pv2h5S/XIA4ICu31n5fB1k7NZXtLcz3+x1dcPNqwv1KkOBHD2aO1viOHJAI3TBmXqXIyP0AOjLzZSKqCYm+D2TmXc9zP2dbDG0PGR/pCLnzT2JPlvHPU6/c5lmakWYVwY9h5lD1PhAyR/eHOBefQ+y1YQDeZuatarxvy+vl/1Gb4NChDYIq5iviE1TXwqQESLR5hGsJ980Djs3dD8k+3ARxuiIgY7kFhEBYDxnLZ53ZbGou3lEloNQno0r3qAiZwzwgQYK5vQ5PfCGkzP/fsDF8jBfEWawGsVF+B/Bnq5gpGZ6lCtR1hdhcZyCBOs1uClpQwZV9mQm2EVFTAO2YeZi7x7g4nw5COr0F8RUIoq8wkZlPras1thYkTT+Hln19K+nBH28c+zoMYh/+AGCUVlYGEb0JyaoroN7XATCGmVup8TABYrd2ZTdLpLSwNGy8NySo1hc2bTkTzEkcb04Y99ZfXzgslyCiQQB8mPlz9b4K5G9bHWklRzMhBMMQZr5Lkjn8/YLQN7v+fvdYdPfC9e5APnOKhVe3xf98K3oVhGw5BcksiYSsyWEA9kLG8W+uAkbqWX62LOzNUfm8A3tBNGyeQIIly5rs0V6H/ilkEwj/QijmchSkH+lMAKvZRV9Uk8Ho1XH/jCM/13ynsmo74873VAAwlZk7PPdFZzw3QSa79yELXvJH5bverpGrtGY/Y+uEt/Dq9gcr/45uxswHnZx7GKSdVQmrMUdE0wGctkYSiaghpLSiJzMfyso9mAzGMRAm0xG+jYyOGuzgGvNAauJr230eAJkwB0D6Bh+CRLp2EOhAv2KNhrYJDqvqrfN0KbtsRaI5eXmHAzNGQ4yT1pC0ya0QA8Wlo6Fx7ZEQ4qTpi2KZ/4tQRkd3iBN+FMB0dqFPYjIYqfeRrzs9SI6vlWRJcdjGUeO7pkOE/TY810Vrn9sfkmE0DEBJP733leVhb5fw0OkdptQmW1LR/+icVXeTH/d3ZmSQtMbaZ43SKNLgAIA6zPxAOSIzIPWGvTgL9awmg9EPQqw5MhaSATSKjI7ao7WRiEZB2s4tsPu8MsRoqQkhU0pDDIsFRX2CvIaWjBwXEljMWdpxBsSnJjbsfPAzC2QcR0LKFayOxplMEsoEEXfcbH/t2cgcFLE6HPI3mQ9gHjsv78HG8DH6Vw7OXGtmy/Cn5qRzmfiuE8zs0rDNCoioLCRi1xmAd/fChvP9ijVw6hTtvH86ddLZX7tD7BBHGXc1IWRfb2berT7rDCCSmfur9yUhpSQfWyODmcXZFkNbQJyDdHnHNg7TPgD1ym2epVnCSFLHXs12XSNpVd0RMpb/hhjzb0LU3de3K1Ct5etF6rTP7eWXbk22MJBiIWiRCCmW1Itt90+riTRHozpEJX893HA0NK67hLrvxvYZJNlwH2pObAaxrxlCpLkM1NXIVbrIX3FXlyaaU1y2kLT5rs4QzYQPXe6cSajfbEuI7RgG4OG8kCGWYO9cmq0PreMj6tyq09EPz7ZwFlgjorkAmjFzSZvPrETFXvW+N6R7RIfMBEdssTRs/DJIUMYRhnQ/NNFR+Wh9iG0/wO7zAuq6OkMyRB+r9yt8dJ7Xh5ZoOaZBUKWCOpuyBbb71x6J5pTRXQ5OWw8Zx60hwUQTZCzvZ/da3tpe40hIptQAlzv/w8gmEP7FUAvuSEg65RwA3zFzOobKZDC2AvAOMzdSk+NFCDs/KzI6yqmxTUS1AQxg5r7/yA2kfY9HXq+ArvNDBy7x1nm66hxyMjI6yqnxREQLIKUaJWw+ywdhX8OsDjOJqNlKiIhZphwrk8GYBxIBdOUAlIuMjspgHCrn8SSkDq+w3asIpLY5AJL+FAcgvnPB8Nz9ijXOa38uLTbZFguvbr++8u/oC5AJbT0y6WhogYg+gjC8o57nPNl4FjloCTFa4iFGyx+2fyOTwegPcVDeAFDUwsw6os0ApkdGR7kUE1RjYgHbiPr9EyCioH5FGy3pXMjQ0o3dR0RGR2m2MlPn8oaUA/zA0p3E+vkwAPmZeZzNZ29DjIKOLB0g3IbJYBwK17od2yOjoxprbVCGYGuIg2Q/lgtDxnEuSBr0NQ/S5/q6aj+fojmCcroau7ZIsZjNrx3+8lJcauJepDkaz1VioKKsuwC8npmIWza0obJIBkHm9TWQ7IJ0WV0bw8e8BDHsOwHwsjA/0BEtBDCtVcwUp86fIsyOMnOVf+QG0r6HAIQvCO23qYRvXqdq78ycSkTBjfd87LCGnKR94UgArVh1ElHz3j4A3Zj5vPosN0SAcTNETNjtdepsi6EEKRsKcbHra+U2z1qqcY16yLhaAMmMsq7F1nFcAJKVkhPiT9wKDSxaYEblbrn0pLMjLAAi+TdZg0TY++DsnYlnf7oOyT7IkqOhcf1tIM+4uauAUjZcg4jCIGtyGUigbpXtc1UZxL0hNe7V1MeHIGvJ4sjoKKcZcWpM+DPzP1peQkQ5InJXGPtBmU5GN9abFW33TXZaGklEhwDEMXMDm89qAZjMzM1tPmsKERrtzpksu14aNr4mZG5whgcACnc/NFGrrXERiEbaSGivyXkg3RcCIeVDNKp0O7+GQZUz2NdWMNKTCNZn+eHpZVcOP750DELib8gqYWJz7QSZA39l5u+f51zPi2wRxX8x1EI8jKSv65sADhDRKohQ4R2TwfgBlHiOzaRRCuKgvGwyGFtERkc9dfIVmRJeywwUQ5oHkjKZp2pAsQA3yAOY2VKBiOZAFnhHr+byFTTQ7vMzEAGatTafjYYIr0RAHABn502xWeS7wDV5gMOPLs1oKTXStuRADkhUMzckansOQkbsVP/eAHCPmS1qMqnno/Oc0rVQbc2e7M4WhFSLOcFT51HneUo1HGACgM1E1J6Z17zgc/+noFLvN0BEf8IhRsvHRDQDwC+bwkcHQDJGwqzH6OSPHgkg0mQwDo2Mjprt4mv+ybHsCxnHQQCCKgUUcUugNPrBuTdaEpWH4/GWDxJJLK2MLevnsQDeI6KT6v8pEMPNGyJ2NhKShu1qLFvtgdedXacyFBqFBBYbdzzumi/SxnKwur5kiHPxBKIvcgWiDXEDwA0rqaue06BGQZWNmSUPACA2JW5jXGpih+d1NOzu7TFJ+cKPRFQvs5HPbKQHS339VCL6DJKVYyKi/ZDsotMbw8e0hESwn8l668RpHgmg68bwMQ1axUy56OQrAuGgFdjzQjn0uaDWZAB5CvnkcmlDEpHH6FOr5u2jT27B8Xhrq87bmogSbD7fChEJnp0XzlYAACAASURBVG7z2SQIwVJTEdWJTs6bAsCsxnIIXJMHuJkQ90F5cTBsyYGckNJQf8iavBcyfg9AHJEbAG5xWneksgAm9Slar6w9eSDb0/7VE2C2o0E8SD+Amde6utbMgJnXqxToSRCdqGw8B1Rm6qsqUDcCwFhley7YFD46AVJyY1+HHwbREmlgMhj7uSARckOc1xcOFaB6tiaHBpbwUJ87Pe5W0sOmRPQtHI+1VEjZ3HkSHS/bbbmJ6AMIiZcCWRejAPykxvcfTs5rXZOtz6uXG7eZe9Od6M9fI7J2PCgMoBCkBCMBQDlIhud1yPg9hjT7+iEzs5rzOhb1yTulYVDl4m585zMQEeJTE69cTrhbMSuZj46grqsvREz9EDMff1HnziyyCYT/AFgEBCepQfo6gK1181Q4N7ZcR2elB3Uh2gPO2rq5VIlVDm4A0oyOIAcv6zZ/CJFnhhj/sQDun4+/lajuxekkl2xJTYVEJU+rc3javXwgE8hdiKMeaLPtEuT5JEMMf+vnf6nPO6vz2p/z2UtNOBhQrHG+jgXDnT0aAMDj1IR6kGyCh+ped0EyChIgDuBddV0JkDqv/Op5smLA6wN4qVm+kJsBHjnc9zYAWNhimXd16961tw9e/yEzB7oBlm4ZrwHYRkTHmNmZ0ZsNN8HMMRCV4LIQp2L8mSc3H5f3LxTm5LCvTAbjzsjoKGflD+6MZQ+1n6Oxa/+ZtU3ZU4gI4n0A9+8kPQqsFKCZKZkOqWyOh0QZrkN7vJVR546DjAnbbX9BMjL22n1+AaJlcFgd52wsAwCWhb1VNpenvfZYuucCANCTviek1doDSL33QXV9SZAylOOQcZwEiVQWBZCXpFypDkSA0rdDwZqPAQRlhjy4kRibOOPC+kUvkjywgpmPkyhXLySiTs+bnZQNgEXgcD6JMvrLAObn9vR7tLjaWw30pMvYE0xQBKI/UcfJqXPDDSJQkVXurMdBSOsHzxBy4tlYTrakmr10js1I63qdyuarEAI8AdrjLVidX6/uwfp5MkRRvTOEgLN+fheS1m+CjDNycF5PAHoiQovg0v5fhka6ejRIYXN5SPbHI8iafAgyNyZAWrgFQkj9BHXNuSG2RDGSss56ACKK+OT+OzRnUc1uC7bQEcPMadvX3jpw/esrW/4YiyxVabjCOEhXi9b/RLnafxEqUPeWbaDul7/3ne9QsFYbJ4f1hjjMC53skwtiyzqEsjdzwvV6bH35QH6zKbAZx1cS7jpspWqLFEtqCsTRvoD0NrL1VRQybh5D1jjbbUchz+cnu8+PQNqSXoY4787WZAKA90p3LxIaqBkvS4cn5oS26lofQkqKTkHmkURIKfAFALfVe28ABSHP3VsFa+oDKNW5oMGlVgMhfQZCgjk5ddblTT/HJse98Ba0zPyQiHoBWKKIfaflcP8UsgmE/xCY+SmkXeLc14s22OHGIf1MBuM4axaCDWtpnaAaAPAnoveRcfLKjTRhkzjYTFY2rzMan8XbGqjKaYm8lni/z4X4209L+wX7Orvg6wn3D0Aci96QxX+besUwczKJWMopAOdYCajYgoieQOqVv7D7XA/p2VoAwCvsQuHaZDC+DRFVcoqK/kVWQ7QWcqiXj83/r0BY0+vqfRDEgCkLmeTuQFRbL/vrvUu4+i4rmBnH4q7GEfDa2tsHG0HayfV/0c4HM98mEatZRkQNXD2zbLgPZj4HYHDnQobyZfwKnHCxO0EW7jeBZ6SeP9IbFiUBdCURcLQ3OvzVeVIhzkksMo7bC3bvH3BGNfD8AHqsubW/ScO8lR2SgdbPDz68uBtAO8hv/jAkGrkNwEXFwodBlIfnK2LF9ru81DFRbNf+jYhKQYyYr5l5pYtnB5PBeByioKwJ6/VWDSw6/Mjjy3eQfgxbx3QSZG7UqffF1X2VgjzX25Bnm+RJeteWkUKSJTVhd+zp6yfjrrc79eTGMiKKZ2aHgo5ZBTMvIhF2HQ6ZB7PxAqAiamsArJlWqddMPelauTgkYmP4mLBWMVMOAc/WJVtSryaAPET0DrSdCSuplwDtNfkKxGG2/ewxp++2Q5B2ln123j9jaR0c6vBiiQiPUp7eOvzoShIkm88DQiRshdSOP1ZO0AcAbtuvu+oceyHiixlKJVUkbhCklvqGswd3tsXQcIiOgFPk8/I7CtEY0lqTPSDlSLkh0cxACMFRHmIbxELIjet5vQLyWJ+BM1i33kx8EHvmyc25X1/ZchzARiJq9bwlSPZQ5STdAWwl0cq4/CLP/1+GbaCuUd7K7ghTDoMNgUAiJGo7VqtDHNlKyLgm57Q5TzpSz+Z1zOb/sQDu20fCFZHYadu9Y/16Fm6Y6ufh49QnvPT09m4ABogQ40XIerwVUjZlIaJukNLbLQ7G8s8A1jHzNrvP/SGd1I5BuqY5JamXho2fBxEvdYpqgWW/WHNr1xZor8nXIHpf1jW5AETstgyETLgNeXbXPXUebmnKEIBUtphjHpx9ks87Z/0/Y09NIaL3mPlTd47PDJj5CBHNghDR3f4XxH42gfAfBDObTQZjMTd2zfneyR8PtqSpQEbWMhayaN6ADLSTyOhAZNkhJdEf6AOJzuwEMK2kb74lkPROTViYU7+6bMoHETKqBZloG0GYxjlEdBVipCerfbTwGYC9RDRPES4A5JlBWObhAH4j6Ut9z8E5AGnBOQM26rBayO8d+I2j2mJ1vW9C+kg3hUxq6yBZIcdtJ4yvqvYdAsBlC76YB+fjpl9YZ3liTvwN0j5uEKTc4Dsi6vsPkAi7SJTyv4D0oc/GC0T/Yo2LwcVvDABuJMb2IqJ6Nvs+Qfrx6gdxZM8iI0HwJKuLE4l6dUvIGCwBYMmZ+L+tpFVrexLB+v5GYuw1092jDSDlGjsgNaSNIe2kipK0nA2HRBYy9LVWZOFMiAjrO3bbLhJRE0jqZAmIoraz+1sGiZA4ukcAONS9cN1Ni6/94UgkrimESK0I6cJwEjJeNzDzfZv99P4ePtEAaji5HgDAJ+fW3N394OyZFDYXgBASrSBlLsTMJlfHZwHDIGmTMfwPa2X8F1E5oGhhd/Zbcn3nz62JrGuTGbKmWddkP6RlClxE+nEca0/qZQYkAmM91OsSgO9q5Sr1OSQDwCGxv+T6nocsGQbtIJG+BpAywsmqXOEwhNBwtJ5uAjCGiKqwnYgsM39HRNcg5XKvukjn3Q95JqWc3aevh+dCZj6mtc3qcEGeeQN1rs2QtX63bQ38xAodqgI45ioD4XbSo5Qhx5ckPkiJ/4llrpwBWfM3KRLhhZaWMfPfJEr5y4ioIWdSJDkbzrEpfLQeEvhxhWo+eq+jSZYUK6mXiPTjtTAkOn9N/Wu77RFnsauQIgANEPu6PoA1iZaUQX4ePl0gXYA0f69J5pS4OVc3V4F0E+gDEf1tAimHCSERGA2AzEkZ1mSF8QC+JqLttmsuMz8hovYQfYgflC3q7He5HEB/F2PraRm/InMckXAk+j4lIHNXG6juWJC2uZds9qMyfgW+hehLOcWaWzGxP1zf9SjRknwZ4ru8CmApEemY+WNXx2cBCyAZT27Z/y8aLmvKs/HfxjulWw9k5orMXImZQ5m5MTN3YeaBkAV5KTMvYuZ1zLyHmc8w872sOKJElJOI3iCi3ZDBcAwiajiQmaNbxXy8Jj41abRFw9ZPtqTyg5QnPc/F3wqBEB37ISTCD8zcB6KgPhQSkSkN4A0iWkNEw4iosjU1Sk02P0JFa+2hshY+hzD4DiOFkdFRNyxsmePiltdERkel6/BARDoiCieiKACzvXQeLQp554af3vs1Zq7FzB8x8zEVgc1PREOIaNf7J39886k5yaETZJ2rS/vlf/WJOTEWQsq0hvTkbgLgJUh9eJjK+niRmA4gmKQ1XTb+Bwj2znkFoh5eSb1qMXNLZu7BzG9DNDVmM/NyZv6NmQ8y82VmjssKeaDG1HRI2n5LSK1jNWaewcy3AfR4kBJ/yn7xJyLcSXp0q7BPnhqQtlnDIZ0A7jLzJ8zcAkImLIQ4JSEQp/lrIupMREE2p1sMoDkRFbS/Ppb2U5EAQiEGjbPf/JwUi9lVLeoE++41RBRIRF2JaCmAyECPHK/m9wrcDpnTOjHzYma+T4IaivA4ufTG7vwuvguJ5pS//3xwZmAKm2Mhc903kGjQEwCLiOgjkvZ7LwwqetUdwDwS0dls/A/QvkCt2QAqq3FclZnrM3MHlpa/qwBsY+b5zPwLM//BzCeY+VZWyAMi8iKiDiS6QBshzkFz9X3rXjk4+7SFLR2SzCma6/31hNjZv9w6WAniZG8F0A/SDvhtZq4GoAMkO8cXQA0i2kZEY4koQpGPUPPPBIjzkQHMvAViqC8jomaO7qXc5lkWR+ewwQVImYj9cyhH0k3lN0+drlTJPAFl8vr5jIO0vR7JzDtVdN+PiLoR0a8Tzqz56cyTvxNcZSB46zymxabE72IhN3JBxvE4CIlwmIhaKuLihYGZdwBYCyErsvFi4Xbt2RvFmjSwWZPDmLkZM3dj5iGQzNOvmXkJM29k5hhmPs/MD7JCHhBRQZJs4SMQUv1XyO/3A2Y+DWDKo5T45Vq/17jUhGQiahSXmhABWTN3A8jLzN8wcxcIMT4JUsIQAmA6Ef1ARH0VSQ9AyuEg5EJz++9Q5Nub6vpMJKV9jrAt1WL+k4ie2bYamNn90MR05IGaz5qpyP17Ab7enUsVDrrm7+vdjJkbMfMXnCbiWoqkvfWhj8//Ul9do8MLsjBbdNA1TrQkJ0LKU0ZAMp6CAQwgopVqHnlhfreaG98E0Iek5OL/FNkZCP9d7IWk7zhDXLB3LoftEOFmvaUzqMHUEMJoVod0PehhywDaovPBmXlr5So9tU/RRhU8SGcokiPo7NpbB4qa7hxZeynhbj1mXg4RqVoCEYMcTETDmfkERNiFAPwGiWpcgkQ1owBUIFGP3QZZWFcQ0bfM/MT+Gpj5ZyK6AeBXIhrAzHtMBmN+iHHUAELM7RtzevmDJnmrJjbNV1VLTPFXKIEdEjX5xpAITUMAR3sWqXe+S8Had/Skq6IjmgbgXZPBOH/lzb3fLry2ozHEYMoPcR48EyzJJ+4nx23yzeGdQbPCytLeSIi92P/YnCmQSM96SPplEoC5EHGfCZAMj3giioXUn1tfl7LiSKrvZ5K2PbtIRF9OmAxGgqThJbnq9pENpzgMyajxcraTB+n/ZAfK22oMZimaYXeeXJC2Sq9DHNmFkHTEDH/fljFTzXrS8ZeVe/d9ak7+qJRf/vsA7sy7sq3o7/eOP0plc3Fm3g+gDRG1BrCWiH4B8AkzPyWiy5BU68KQdq91IWPoPZK07h2QsfwVJHX6LftrYOYkEoHAjyBj+ZVN4aPjIdGZfpCyjsepFvPP755c8mRM2Q6B+b1z2tenJwAYEhkdtU49g0KQyEM7AIX99N6/R1Xo9rBojryWHHqvOpD69d0mg/GzljFTT0DGcUeI4/IIAG+799ecQcWbddcRVXYUYVl4bce9VLa8ChlDHSFGV1PI76AZZE5rR1LKcQpp4/gAP4cQIjOfI6JxkChRK5ZsNi9I5PtxZHTUC9dg+A9hL4Q004T1txDgkWOHk7n4uddkACCiqpA1uRXE8Z8E4KDW9zaLnhYY7B24dm5In+PXEmJHVAwodPzgw8teP/194GDMwwthAPTMvJyI1kPG4j4iep+ZN7OUuT2BZNZZ16LGAAZDsuIuIK0MMT8RvcQaGXssOh3NAawhoqLM/N3xJsN9IfNRO0gZ1tlFV4/ueZDyJP69chE+OpknbPEXgJfLbZ71RM2JtdSxrQDc7lC1RPS8bvVv+Xrqvb089B9A5pSlV8Z3n15i0rIykLFcHcCfUDpLJ+NuzinvX/BTOAjWJZiTY/se/a4zZIxeVM98MIDXAFSFZAh+D+A2EaVARButY/mkozndTXwCmVe7KbsJv9Qc6w+AOuyf/D+pqf43IDI66rHJYDwBx21/rTj25aVNzkpUnlvYWM3/bSG/qwIQUr0Ja2TPvrx/CgPI3aNwg7dCA0v2zOsVGJTH0//i4uvbq269d2zzw9T4Wizt0YcRUQhEcPw6gPdZOskcVfb1EQjxHwQJTi0gyV7aAxnHswB8SkS/2c8n6v00IroC0c/qyMwXNxuMZSAZANUApAR5YeugYwvu9ijSMqmif3H7NZkhGa/j1TMIhAQx2gGoToQ/fvyox6P2Das89PHyDIHMOe/y/plfh7w67ae/LtzqCJk3UiGaZx4Xn97+/ak56YSv3ruTozV538NzJ+de3fI5pBxiIqTU+HtIhpYBwDSIb0Hq/vZDjWW268STGTBzPElZ0k8kpcL399QbpYfY9/ERu6ZlOevMFbLbOP5HYTIY60IE+zLAOkAuPb2zZvCx+Q6FFonoJ4iDcDKz369YydchBtMhiLOxwxmzSkShkMFeB8K6pTLz1yRifaGQ+s9JzLzd5ph6kBY7f0IGdQxk0H6uJkPrfh4QJ7qxeoVCUsc+h0R0MqRkEVFpAD8NLN50U/sCNd+CXRpnKpux+c7RFa2DwyYC6Alxdu4BWNoyZupFiGHSDmIo7IDUwu7YFD66LyRVOwNuJMQmjTuz4uu/kx7GQNLCkyF/gyPKKZ/AzEb7iOrxx1cfEaj0qFM/5IUYhEcgaU+bAIQyc4qa/KdA0rreVc+jlnqVhDg5VuNlP2eyHR4RhfnqvRb+UG3Yuhx6r95IS/PbBmk3uCkz58uGwGQwLoKLTgGHHl1qaDy1bKfWNhKV9w3MHJHZ71aGdmOIgRIKyRb4nl109SBRob/IzF8R0WEAEcycQETbIVGxSQBqc1pLVW+IUdILQnQlQcqTGqpIpv39NFDXVR+ykM+HkHZ7WEOLg4j660k3YEXY8Kt+Ht6d7bffSIy1HH98tX5k/peCIdETbwDHEszJizsemBEMoD2EOLBAjIQ1m8JHX4WIvNXTegbrbx+6NPvy5qkQ52aAenafM/Mjk8FYENLz3mB7TKrFbN52/69fPru4sSvkbz5H/ZsLQBFmHqvuJxgSMZ4E4DzSxnFNiHNzGGlj+RhnMo2ZiGZG5C6XY1y5TrkgKd2eEOGsJQA+joyOeq5WVf9FbAwfkxui6eHvaJ97yXFXXj/yVUlHBIKKkt9jZmfibJpQ4+ZVyO/pAWRN/lVrvNgcEwghPppAymiGMHMvkuy8BZD19h7b1ACrdfMzyFgZCVljDwO4w8yzbfYjiFJ6E8hYrgUpwZoCWTMytBsmogAAKyLyFLvyTWj7VkSUIUjy251zl9sULFmbCK9DIqdPAax/JWb1tiOPbjeCjOUGkDVyDYBNqTP7h0DWygxqqg8TkiyvLdn+8+bT11cCaAGZBycA2MjMvKPOB52ZeYF6Vs9wI+FB8tHH15pOu7DpJGSsF1bHL4W0trug7qkTpBSrC2Qdto7lyhC9BVui/0pmiH4iykOgnZ9W7LO8tF/BLuraASFTZgGY32H/5GxSMJMwGYyDIFlhGWC1r888uTnx7b8WTXB0DiI6AckQyEoGYChkTY6EBMwWMvNhF8e8AqAtM/cgonkAljDzH0Q0FUJuvQ2gNTNfUfsT5Dc5HsAiSKnfMsj8Vdt23iAiHwjRb7WvK0Js8u8A7GSNMh2SjiFzv6j8+m/l/Qu9BTsSLj41EVvv/fVOnTy1oyF+RG6Ihsv3rx2elIg0Ir8QZOyu6dwkNGbl1F5fQmzfDNhx8PyjNiPmT32amHIb4mMcA/ARM1/ZGD7GG8A8iC3/DMzMex+cvRCRp3zF1vuiIiDr7ixIGfNUZm6m7scTUnpxFEIs1LJ5BQM4gbRxfJCZXQo32j2vVwr75BywvHr/v3REVpsgFRIU/CRi1zRnweAsIZtA+A/DZDCOhyx0GZBsST3S/dCXT+LNSbsAfKjFdBPRVki2gFvsmUrD6wiZ2Hwgg2iFOxExFVX8A8BwZt5PRN8AWMnM29V5D0Emi9UADKxao9kca+0zbYHoNji9bpU+dRiymNeFRPp2QQyXHazqlqdV6lG3on/hPzx0es20NRV9bxEZHbVFGTPt1CsIMtGsgUwWFgAwGYwVIBOJwzSngw8vXh97ZsUZCHGw1357pYAi77QJDmveOG+VCyfirhX8+e99D/c8OHsNgIWZJxDRMMhk/hLEuVjFzEvUfRMkIltGPaNUm89LI/2klwsywVonvUNsoxthD5PBmPNB8pNjub38HWW+jIqMjpru6PhsaMNkMOaBEFBVtbbvf3hh4YdnVoYDGMzMf9hvJ2lDNYuZW7v7nSRChL0h6uj7Ic7GH84IQJtjwyAEmVVN/hgzV1bbXodoqyQA8LY6xDbHFoJEziIgY72Kq+smEfLsBFF5jgBwC2lRzQPMnAIAs6v2W1naL7iLowgDRB8ipGXM1FTI+GkPMfivQsiJdbZzislg/BTAKCfnw4dnVl7a//DCKkhP+/u220wGI314euVf75RuszOnpy+WXv+z8Zn4m/33PbzwNYDOzHyWiI5B9BRyQsZsNWvWFIlo5SYAE9mmJRyJWNdLSBvHoQCsHS+sr3PO/pa/1Hy3tQfp13lqz3u3ATSMjI467ej4bGhjY/iYdpAyBE/7bcx8692Ti/88HX9DD6CfA6N7CuQ37VAryG5/PcRB7wtxSJcDWMzM19w8/ksAp5j5G5VlVpCZra2h/4BE038E0I0lTdr22JYAPoY4zgsh5J7D61Zk5V5IJLMc5Pe+H0pc1erYLKnRNVdJ3zzXc3r6ZHD2bcbimKpbP49SpEkryFiuAmA7ZCzvsJJq5s8GeEPmjgKOru12XMKjohN+vGxhTAHwk/3YqRRQuFZYzuLz+hev/+eD5Hjv2Ze31tp5/+yYVDa/qb6/BqSldjDEwXjMzM/KKImoIyR7o6Vt9JikPKsm0sZycUiHCFuiP928Yotfao7V3U9+vC7IK9CReOdKAN2zSYTMwWQw6iHOdBet7bHJT0w9Ds8qxOCvACzQIgmI6CQzV3L3O5XN2h1CAN6FjKm17pDDKntwN4DGKivoT4gw6V2SVspfQ9bddwG0sL1eIvKDEFyvQWzXMq6um4heghDm6yBZtwwZe1sB/Gm132dW7jm0ckDRr5ycKh5AaKQE5CpBxnFbSKnVWggB+mze4f0zO0LGZ4Y12frZJ4u3XRk9a8MeSDAugxhm1cDii3sVaeBdOaBo7M77JyruuH/i130Pz9cH8CMzryai+ZD5uwrEgR/M0vLTSiIsA/AXM0+weR4eEFLFOo5rQCoEDiFtLB9nJ2Voe+qNKh2Xmng0wCPjvAcp6+4csWvaC20Nm00g/MdhMhg7QBzruuqj65Co1mctY6YmQSJYdQC8xszXTQZjeUgksEOyJTW/B+lP6mTAzIuMjoq3P79yPMMhpEEDyOK8iJlPZeY6iWgwgErMPEy93wHgVavBTkRzIc54WQClWOq67c/RBcBYtU9TdiEERtIv3p+ZJ5GoxFrTpBtCHPwd80MGvlQ4R54mzs5zPSH24oBjc2IhkQ7rpHZe4/toQeig5YV8cjtMYwWetUgsHBkdddvBdW+EOC4n1MKwHfI32A0RMgyCsLNRkMhsBKSm9qb1OiDZGhUgf/cUB9/jCXFarZNeGISg0UyzNBmMcwC84cyhAlAjMjrqhTOl/3aYDMZAyOI+AGmG7rPMDuXw/wgpXZm6KXw0Q5zqIRa21Eq2mD199J6bAHwRGR21TeMrrIZCJwhx4AUxUFZlhilXDsufkEjlIRWp/MJKAqjvOABxcHcBGGRdfO3OswPS1i4RQD0tZ8ruOw9ADKLLKvupEcRxqgngfLB3zt3fhQ4ep5NIiUN8d3X7jlV/RxeC/LZ/BbCZNVootQ4OCxpUvOkVT52H4/6PABLMyRs77J+uSYCQ9KJfwcx11Pu3IfW1ByDORkMIwRkFibIsgjzbrqw0aEi0CjYBmMzMaxxdB4l2RA2kjeVyEGLkGalgnWvVb+0q0iuB2+MggJr2uhDZcI2N4WNqQgzy9pCI+2NI6vEnrWKmXCcpu3kfQiLsW11jXF6Ivk/PVIu5uAWWe146z4UAvup84CNNMTM17npDCP0YSCTwz0xGr2tAUoXrsSiwfwIg2koCkHRIKAHJwvkUQAO200ZSmTL7IOm20yFdUxxeg4pKGpm5tVp/aiAtQyEYwJ7pVVrpmucvm6Fjgy2SzKlP6/85d1+COSUXgA2QsfyMyLdFzIj2I2oUyzfT1fN4mpzaJuD9hZqtEYloPIBrzPyden8EMgfNhKzLKyHOUwNIUGcogDZso1ZPIjI3FkIiaGb/KZKlDNIT/QEQUsI6lg+zKiv7pebYPgC+c7EmD+6wf/K3ru4/G+mhSIQ3IH9Lq0N9AlJWN69lzFR/SEatGbLOxW2NGF0bEiRrnmxJzemt99wL4FsAS5vsmZqBxFFrW3OIfV0Bsh4sYRcdSTTOMxvSSWGusv/OAChvHYskumTdIdocMcw8T+McUyEZD6UhOj8ZbFy7/a0Exy8kLTAbQMZyXQCPCNi2uvrIV/08vMs6O0/Mg/OHxp9d5Q3JPlgDIfJvaXyfx9+mCQeC8wQ4bhsDIDkl9ZaXp0cRqjlS63kThLCvzlJKaYBkZgyH2NkNIaXJTyBE5zKIrVTDaieoeetHSNnSBEfznQqMVkPaOA6BrAW2RP956/F76o3aAwlsOMITAMUjdk2LdXb/mUE2gZANAIDJYPSH/NAfaIiBtQDw2aDiTX9sV6DmGEgbFHscBtAkMjrqgTqmACTV5zVI6vtCACatTAZXUOfaBkmLeqQ+Ow2gos0EFwERLXkFEo0dw8y77M4zGhJ9HAspT7gM4AOtyUbtnwNiCNexd1BU5KLhrzVHrfDSeWSIFtljxInv255+cvNvCDPpYfcqCTGAwr+t2j9Pcd98Tp0OhbaR0VHrNa45J8SJCLF5NjuQlub8HaS+azYzN7fZXhLilMy1GlFENAESleruiETQ+P4ASB1oaZuSrwAAIABJREFUujTLIM+Ao99Xe/MNPemc1uoDWBgZHeXU+MuGY5gMRh0klS/B2n7VCpIygE8IVHF1jRH3ffXerzo4zZjI6KgodQxBFqU+kIV9DYQAPJOV6yOioZAIxXD1vi3EsXjXZp/vINGJW5A06Ah75p0kvXMKJOXamhL9nb2DYrN/ZwCRzNzf7nMCUP6NYk1GdShYy+Xv7mrCvYMDj80brN5ax691TPtACImGZf0KlPuySh+XYogAbkdGR2lGNtWz8mHm6ep9GQDfMHMzIpoBeT6BkMjESpXhdBiSKfEGK0V6ZZxtgjhn7kamCaKRkyHNcliJSF2r4Grt3ThNRGR0VIYMqWy4B5UyGwDgYauYKenWTSKqAOCHqgElTOPKvtaLiIpqnOIOgKadD3xk/R34QzKG+qjtiyAEYAadH1dQEbPdkN/ZUfXZWgDvWSN+ai2IgUTipgO4zswz7c7TCLJml4eU9+WFOFBHnXy3CZJVs9fu8xwAaq8J77mglF+eEq7u4cdrR8Z9cm7nJmRcjz0A5IM4+PXmd6sf1LtWOWeCblZM1o+YN87BNR+ERG7vqfefQKKLJoij0QoiNFmRmVk5Yz0hDsh4Vpl9RNQO4sS1Yrv2tI5AUgcfgrRxXA0SGd2/MHR4y5yefq60sE4CqNJh/+RsZyELsNF74sjoqHTZtmqefQPA4NlVX99Q3r+g0cFpfgHQtcmeqdaM0HIQArADZBxaM3iyUu5QC1I22EARgfkB/MzMdW32eQMSmPgC8nuNZLssJSL6EUJgTISMoY2QNUdzflFBjVUAatoTd0RUuEbOUl0mV3jlMxfkFp6akx52PDCzFSTKbr8me0Dmn4YAXkrc/UkBL08Pd0QMS1DNkVc0rrkGxGforN7rIeOjMoSMfQViYzdm5nfU9guQUuORzLxeHecB4AdIttCH7v7d1Fpum3FUBsDlBkFlr0ZVbOeqKwUAjIzYNe2FtWHOFlHMBgAgMjrKoRHBzJs7FqzVtUW+l47Accu4ama2zCGiZZB0yEKQethmjtjyTOAzyCJqJQ/yQNpE2g46K1ObG9IfdhUR1eb0KfWhkO4DsRDjoCukm8JCAF/aOyksNdnfQDI0xtlte2AyGH+FRqqpFhLMyf0h7GEqZKLzgTg+ZSCZCX8BWOqr9+4BjTpLDTiacFoDWG/3bDZAate+JhGi6wNRy7XiLQgrHgJgOxENZObTLOUO4wEsJxFackkiKJZ1h3oBkDTLNsFhfdwgDwDJhshGFhEZHWWBtHnKAJZUxuHjy3f+1lfvPdDJYjPl8yqvXxhxYnEJSNThLMRAGZwVAtAKkvKDwUhf118BwsTbYpH6rldJhNeMsCm1IqklToAY+esh0buJAPYQ0QgHmUU/A/iAiEqzqi0Gnok2nTYZjFZNEadIsqQWhkQcUm1ewZBxXAhCSh7P6xV4Au61LXVmOHSEZJRYr/U8EQUrx2ws0iIc5dX2q0T0A8QRW0hEmyH1m/eIKBLSFk7HzD+5vCh5LlfUaxWQlmZZMaDwXDfuC5DMtWwCIYtoFTMlCaL1kQHMfDqPV0C9gcVbX1VGpRbyM/MaPw+ffk/NSb0gRODPkPZn557z8oYA2GXn6JeGGMvWa4wjogOQtXYspD3yOrvvDoVExyMgkdQakJbLByElelrRsg8BTIadkruKqm871vjtu5DMB6e4nvAoEjJ2rGuyHlICUA5iG58EsL5oLr8ISAZflkCi+fCI0wvXbYD8HVYQ0QgIUXobMpfcgpQRdoDYKjFENJKZtzDzr0RkbfHY0h0SQdk1B9Tra3VNOYM8Aww5Pf3cmaMqQRxgZ4J/2XAAFZDTfHZqnp3zVqnmj8v6FVjq5DQdnpqTPiQRD+4D+c0uhES2M2T+ugs1p8+CZDNZnXitNXkFhKiYDMl0nEsiomu7flWFtCo+DiFFhkEEUycDWGbvJLO0Uz4IITVX2m27sdlg3Kau0ek96KHzh2R52K7JgZD5qBSknOM4gO90RB/g+boPdoTModbrNJO0lI5QJH4nyPxR3mb7aIiw8Rsk2WNvs5SJ9ID4SJOJaKw7JIKaQzapl5WAKtEiX6Vx6r2rU9SB+FMvBNltHLPhFt4o3rSVj97Tab95ArqUyJGvLURUpQYzf/685AGJsnJOSL2zFRkmODX4lkFqLc9CUj4/AgCTwVjEZDAaiufIW82DdA8B3GTBCqTV8u9TRrY95gHoZDXSiMiHiBoS0fiWMVN/v5v02J3IfPy3IQO6QVrnHIDUOpWG1JuGMnMpZn6ZmT/I5x3o0riHGDsHHGxLN8EpbIAQC4DUnDYCoFMRG7D0vE6AMKdGSDusD4nIi5knQsSkVqhIRqbBzH93KxyxOyvHZuPFwmQwUu3c5RoBzhebZEvqHAixZW3buvF5yAOFzyFOgW3Kf0VkNFZ2AahKUn4TBenEEGoyGPUmgzGkT9GGrwR5BZyGOOw3WdpavQUhDicT0RJFVjyDMo4+gjgfAITYImm59s2EM6ved+cGyvoV+BUSGfwK0jWhAcRoeg9AAWauzsy9PyzXaTjcU9DWHBdqvslpS3Yo/A4pv0qAKLT3gDJWFD6DlCfVhqQsxpBSZoYoUb9HUsqVaTBzKjMfL+mb32lqqu0hWfmebLiHuSHDawZ7587rzO4kolJ1cleeDHEAqjDzmOclD0hKawYgPannDcCsQTIvBNBbEflDAcwnIt3tzv3y3O7cr1bdfAUb5fT0Og7Ag5lTVFZBBCQ6v5uIBpFdtwRm3gcgiUQgGUSkJ2k/PIKI1my/d7GCO/fxfrkGb0NIvk2QjkY1IXNPU2YuxMxNmXlkk3KFv3Dz0Tha4zog45q8B0A4EemZ+TeIFpEeaY7HU4h9EAcZz+8S0WIiysvM6yA2lomkBCTTYOZH80Lf0hTVdXRIVr4nG+6hXYHqLXUunL9ki3m0t86jFGQ8NWJpA5xl8kDhLQDbWWWrKWRYk1Xw7iiAusy8CUJ29Z4TMpHmhEws+3GFkQ2CPHN5Qspjb6qxPBOSWdsUwA4S3QN7TAZgtI5xklburYno01cOfrHA7Ea3Sm+951/M/BpkPrIKBucE8CWAkixt6Lsy8zgPD30GDSgNXIOUcqeDctbbQOxpW6xHmn09BDI32rZ4X4W0Mu6fIEG6vpDSlZ4QsjOK3PD+7aH8mEsN8pbNUObp6JDMfoczZBMI2XAXjV3toCMdvgnpv5WZD7nDprmCcnCnQ+qlbc+n5XQAwub1Uv//PCSgWNMV1Yfvg0wIe78NGVBuedjwNS8HV3+WNcDM8SxCbZ0ADCKiX1XE4NltAdicQ+e1tm2B6qf6FG14pX+xxlNDA4s/AtAnn3fgJFf3cT7+1r6WMVN/hqQoBgLoxcx1mXkWM9vrGHwN1y31VmjpH5DUTFVGRnLhFIASROSrnMB+EIOpis0+VsG33ZAIMQGIJqIIZv4IUsqxMqskAoSEcKddYzbR8M+iMIQhd4qQwOJezPwVOxHgygxIBNNyQFIxbaFlrDDE4XmFmZO9dR4Duxeuu5aZLwI42rVQ7bnfv/Rmt6gKr3Zpljck1ea445AayrUAthDRe8qxseIQgDpl/ApseLVwnZsDijXe+2qhiM65Pf3W3U95Us3CfNnVfUw9t0YHMaTGQno8V2fmXsy8ydZ5ioyOSoSQj67gSCDqZXUf9nhGBjJzDIRQaGDdyHIP5yDdKaZCojvjSVS1LRAS4V0icqqz4gLujtHssfzPojHgOur0RvFWh1haJr4oIbwvIDoEtlmLZSG/O3vsBBBGRIHMvKt8YK7zvzV+OQbA3wBiVtdv+fLJtq8tH1nxpcDbnfvpACH7mHkBhASrAMlcsE2n9gCwQgda2K5Q+ZjhZcJvfVCuzsI2BcrmBzCuXlCJTuo8Dm/gcUrixdBtXwyHrGu1IFpPocw8kTMKp/2srtcZzkLU7rXQAVL69QxqHT4EIS0AYBQkqFDXZrfZEJLwGtLU9P8g6Tq1ATIHmUhKPDONDvsnJ6prcIUTHfZPznLr12y4BZf2dS5PX48N4e+u1CCVswSSkre+kN++LRzZ14sgZRMAMKJGzioTUy2pxwCcze2Vc8eUCsMrTC7/9tSI3NWeZbYz8y1m7gsh2L8mom9I9HasiANwI5eH/6Y2wRGXuxVqcqprwcYjivrk/+tR6tNWOtAKV/fx+93j50k0Gr6HZHo0Z+ZWzPwDZ9QnmuXqfABma+kfQJ7Ldc4o+v4bVDaUyhAYDaCQ1VZWY30OgDeZeRUkCyACwBYIedALouf0cVZIBIX/yZqcXcKQDXfh7m/lRf6mxgBYysyX7D6vCJsUeSuY+ToRPSSiKpvCR+exMJfXEXmzStVmZvh5eJcdXKJ5WZPB2D8yOmq+zbEXALQnqTH8jYhuQZxo/55F6j1sF1zD4OfhYx3c+TsVDK9lZktIr8OzCk+u0M1SLEdend21gIjwICU+debFDccBzGPmv1zdcGR01BmTwTgEDloAQUodhjvY1hyAZm9dItoGyTzYwMwniegQpCzjZbXbdgBTiaiUctQmEtEqSDrpUUhmwhBIaUhXzmTbt8joqEcmg3ExXKd1z3axPRvPB3fHp1ulOe5AEVufQkTBbNWbCUAu1hZAXAxgmclgnLum5qg3IPX4z6Annb5azhIlQwKLzTcZjOHWtoHq/KuIaAMke+EciV5K4QC9T+y4cp08qwYWs1UcL96raIN6Rx9difro3E9B48p2hI60efXdsWdu/hF7KhpS5+1OOu8ECBlX38H2SZHRUY6igFbVdXvsAjCLiEjd62gAbxJRKKelk0+DKGZvYeZzRGRV2d8NycCwLWdY7sZ92ONHiF5KLif7HITUv2fjn8P/Yiy3AaBnm64eCppOB0tN9WoAXW937mfa3rRDc51kMDyDnqjwe5XCAODb2537DQxevYDVsQ8BDCdpSTdfEQcPABRqnr/U9TEV6hUt4ONvJfvzAgiZEdLc0H7vsgMDihssTfOX0VyTUyxmRJ3dcYJFQPh1dtE5Rj9iXpL5swFdIHoFWi02YwG8oh8xL8N5VCaUjpm12ppaycBolnKPLyFjeaoiUe6S6BN1YsmW/IGkLGkmJPNoMGT8b1Lp5FnpJf8VJEvEGdxxurLxfPhf2NdfQur57bMYKkKyBe2xDcAXROT/bdUJHSFlsEVt7eu8XrnL9yjcdsSckIkbBx4b/2xtY+YYRQIOAXCEiM4ByEkgy+Di7fS1clWq5ql7dmsF2xWoG/HUnDhz4PF51WdU6mkJ8MihuShffnr36Zyrvx8G8A67aB2tsAbymx/mYPt6yPjSglZ2L5j5IRE9IqLizHyFpczoISTjeKrabQGAA0Q0Xdk7/Un0X36CZE73hwQcPiWi9zIbgI3YNe2wElF0VgL8BEKyvDBkZyBkw124q4z/QhT0iagiRFhohsZmRwwpACzUk64PgEU6FX20knp25N4sk8GYn4gCiagVEX1KRNGQWuotkFrOoHdKtfmze+G69WzIAyt0etL1GVoisl507LmqzPyrnXOEE3HXEvc/vFDnYvztt90hD6yIjI76FsJIb0RaNsJNdW11IqOjHEWFtVIlrbAtYwBkIgmxRnbUtc+E6D1AfXYSEt08CallPgFJvVxNRN6W2YPyWGYPGmGZPehny+xBayyzB31gmT3ImXDce3D++3gnMjrK3VSsbGQN1yHiaq7wIjthjIO0hrMXJSoAqffNALXv0+gH5/pAde7Qgp50hQDMJEEZIupHRIshWThVIOmD3nrQ5e+rDfGqGlismMa58lcNLPZ5Xq+AXQDamNmSjrBMtqSmbr5z9HSdPOWLMfN3bpIHiIyOSoC0eRwFm9pwSDva9pHRUeO1jiPReCgBIQvTgaWe+QRECM2qa3ECwCKbiMdhOQ1Z92EV0W0MaSu2CEIovE1E3QHgUKORYYcajfzqUKOR6w41GvnDoUYj2x1qNFLTWI2MjoqDCLEmam2H/E1fy+7A8I/j/3pN9oOUwGkZ387W5O8hIr4z7MkDK9SYHACgGRF5E1E9IhpLRFsgqfynIWtPkZbBZbZ8GRoZUcDH30vjHA0/C4kcufrm0VbM/LklfS96XE94lLj8+tFRG26dfpmZd7oiD6zQj5i3G5ItsBBpmXRPILpLNfQj5h1xcGh7ZMy6ssIEyQiy4idIeaJtB6mZAEZaI5PMfJeZe0IcvPUQfQIjhEQouLjaeO/F1ca/trja+OWLq41ft7ja+GmLq423LXGyx2L1coTlcC+TKhvPB3fGaDwk0+W5oQJlZlaifnYoBumykw4qg+nnYjkK9oZNoMfevtaRzhPAojkhE/Ukmj1dSLo8HIIQXz9Dyv90UysMPF8nT4gteWBFDl+9z5gGeWrkiEtNrG5hSzotHQtbeG/s2ccPU+JLPE5JiHKTPADVHMmQ8dUd6QnuU5B5rQPVHOmoLLkdtLMCgYz29S8ABpMSt1UkzWrIPAj12XZIgCEQInw+C6LrNJ2IaGvE6GJbI0ZP2hoxeu3WiNGrt0aMfmNrxGgtAtOKnpAW9VpIBvBqxK5p7pRVuo3sLgzZcAsmg7E0ZPJyRjrtioyOchRtcxtqsdwO6aSQIeWGiE4CqKqVkklEOWrnLnf2w3KdNA0VWyy/sfva99f/uAuJzO2E9LF/ptlQzr9g0agKr57x9/DR6jrxLKLx8flfV+68fzK0tG/w8W6FIy6G5ypz2lPnEd0yZmooRK22t7v3bg+TwegFEVyMc2aQk7SG+QvS6lLrufhAJvDKKiOhFiR6URrS3SJeRXiOAGjEdtoVJIbfLIiBc6pHrbItFvVsVJFE0M0WiQB664Z8q5l6prp9DIeI7FiFHH8HMCMyOsrk9GFk44XAZDBOhmT3OMPrkdFRzgxLt0BEVSAOa222q48mosYAOrNNv3O77T2+qNx7XDn/gk5LLsxs4dcPz75wP+XJRUhm0k4AB9hGFPXd0m0nNM1Xdbx1zGrhSWriza4HPzsEUNGW+V862Dp/tXOl/ILPPUlN3NLl4Gc/QQQJ3amhzAClxO0PIEWVNzgEEXUDUI2ZNXUZiKgPJPIzSb2fC4kyX2Xm8eqzZgD6MHN3jePbQhzBhR6k67ikevfkcv75GtjvB5kLWodtn6nZCtBkMIZCSMHOkA4+jyDOyKfWjJBs/HNYXWOcJ4CLkPRXR3gIoEjnAx89b600iOhTALfYrpOC2rYMwDTWaLkKAIV8/XYfavlKLbXGOMSuOzfvdtllugdpUbZTvS5ZyXki8l0X0e1IOf8gp63dfrlx2vTBia0Fg7x8bw0uGX4mMn+5k4GePieqb//qbgpblgEIt5+P3IX5swEeEKHjJ/oR85yWhRDR7xBBWE3dCZV63ZWZb6g1/AikNroLq043RLQCwBy2aemoPvdDWpvtRUV9gt+eWH6Ar550Wl0VpgIY0+vwxAw2xC81x+ogqenDIO1zARGdmwVgfof9k90iWbKRdWyNGN0GwDoXu33TZM9UzbUyMyDpxhID6QpyXWPbTmau7uDYsu2Dm2yKzF+vtNZ2W8y9svLSoccn/4YQ5jsB7LYtKWgdHNH41UJNtjrK+AMAC3PqyJNfrb6b/LBajZylDnQuGH4hJLD4WR3RzsiYqYMhYurT3blvLfD+mTkA6KnmSKedaIioJICFzNzQwfZKkPnP2o66H6QEqwik7SqTdLfYCuAlexudiEIgZGQMgKAhJZoWaV+gen2y03+BBH/aNdkzNVrrOvbUG1UQErDoDRGUT4EQNp9G7Jr2woNz2QRCNtyGyWB8C1L/qIW7AOpFRkdlqb2bLZSBHMHMAzS25QCwl5m1BFkAAMNKRka3Dg5zqZqcZE5Z3W7/NIeCYiaDsS0cM47PcPnpnd8HH1/wMqveyjbXSpAJYyxrK8O/MCiHoavWM7PZZy2ElDlOIlC3GdJ2pwwzD1P7DAWQl5knaBxPADrWKJbv010j25Xw8tA7mvnNABrohnzrsN5KOVQBAJIio6MyVQ6RjeeDyWD0g5A2Bge7rALwamR01HPVTJP0JN8B4H22a7mmtg+BpEN/6eB4v0Uvvfkg2DunyxTsp+akZh33z/jd0XbVMeVlR9utxMKG24d6zrq8+Uf7FEKVEbUEgIGfX0zSKYhoJYAZLBoHWtsLAPiFmWur9+9AolN9Ic7KQTVW90Eckcsa5wgEMGVMuaYdOxaqWsgJsXIEQM2w7TMd3rPJYPQE4AvgyfP+ZrKROayuMa4hRATQR2NzKoBOnQ985HINcwVl4M6HrMsZfgtEdBgisKZJVLxVIfTjMVVquBQqTbFYrhT5eWEJR9vPthgaDNEjcFor/CA54YZhx3ehrKHhQkQfA7jNzC9MjVwLJLXeW5g5zMk+YwDcYeZ56v1xiNhkFID6LCruNQBMZmYtkWcQUQ1fvfecTysOrRDg4efr5JKG9zo80akg5C81x/oBQIf9k5+bcMqG+9gaMZogdfKO7Le/ANRvsmfqc0eQSVoAX2XmDL8F9VsbqUU8WzGkRPc7IYHl87n6nkRz8odvn5jykaPtS8PGj4b8zp3iRNyl2VHnl7yt4XT7Qda4ZsysSXK/KBDRSACpTmwVgvyNajLz/9fefYdJVd1/HH+fYXfpShExIFhQUSwUI4xYcTWMiooRYwVsKAYsGE3cwQBLmY2xgAYVNWoEY4kajXXxJ2BdB0RZiS3YYo1Gg9KRsuf3x7krwzIz905hG5/X8+zz4N5zy6575577Ped8v6u9mb3neJsXWGvv8NrNwH0mbJEs3QsWXHL0DvtdcfWeg5KV5a32A7B/cUVZyiB9xWFXhXD969X9X74uq0BpEFrCIIFF4rGbcdPkFyR8ex2unmm/PAUPdsBF0FJ1NroDac/TrWXHpNG5mpo2KayZYKUm31kMALu22HFDzeAB/LQs4FLcurG0FSzyIOn6rBoSE7D9gMtU+ydgP289Frgpmqcbt259M95U6EfnXX7iwjTBA3DZpK9OdyGReMxG4rHlCh7Uvkg8tgqXGfkPbF7y8TPcvXdmnl4EzwPeTRY88KSb9oy1dlUIE6gj26JJ09U+TdLey9Uvz8d37LMm2fpDa+17uFlRFwe5nmx5AdIDgNdTtbHWfo2rolK9XGgJLuvz+bjyWk29n2EqMCbFMZa/ceSYcYN/tl91dZlUp+vF5lMztxCJx9ZH4rFlCh7UviELJ72AG4F+ks0zbD8HHJmn4EEIl9x3dIrgQROgWargAcCZu+6VKsHgZgpDIb/7uBM+wQOAtkXNWyYLHngm49YgZ5V8MANBBiBqTn3+GLcE6DVcuTystQuBIi+IswVr7cKb9/3NX3yCBwBXz+w9Pm0w9uTXJ69S8KD2FVeUWVx+qFG4SgLVluEG7fIVPOiFS9SZKq9F2mcyQJvC7QIto2jWpMjv7yhQ/3rf1rutSTar1vu8GY/L+bO1nUzqpUjVff15uDxj4N5RuuPyIFxqjNnV+/4NwG9MkgeutXbj8wdffdMV3SLLfa6lDe7vJKX+L19X1f/l65ZtzeABKIAgGYrEY49H4rF+uJu/B9AhEo8NjcRjNRMdZus6oMwmr/8MyWvUbmaPFjvdCemzMHv8OjVBM9Cnulasy33wMsFqwmfF68ANwCW5SecZXF6Jav/Frbk6H7jZGNPa+1B+EFdyZgtVt4wMtSgqSDmSm+D4qltGtgzQTupAJB5bFYnHSnAd8u64F9DdI/HY9ZF4LOcRdu/l9gqSJwKs5nsvr61aH+TF43/4ZxPP+V7GTRceabIsnRbQMbgRCr9pw8+yaf30v4Du1lWheBSXKwXcTJKjzeZZrxMdHwpWVSWrso9SO4YsnPTmkIWTTsR9lvcAOg5ZOGngkIWT8pVxewTwlnXlE5PpCtTMb7KZ3VptV7Fy/fogweJAz+QAz/aU97t11SNKcYldt6YgQf23gO5mU7WY6heP3+MC+dWVkv6IC+4mVRgqOCXA9eyECzZJPVRcUWaLK8puxf3/3x33fNypuKLs8jwFD5rgAoGjkr2Qe3yfydsXtPpzuu0J8tW/TtfuUaCDMSbZEry8MMb8DCi01n7u0/QpXJlHgO+ADtZVbLgcuNu4pMUf4PKZHZbiGN2KQgX7Bvh8qxfPZAUQJCuReOzLSDz2XiQe84uWBeZ9CHTBzWhIxTdCOmjBte98vuZ/S9KMqoHr8Pg93J/daKuCROMf8NleCow2xvhO+8pSGHjD+lRG8D4AWxpj2nnf+hewl3VVF27FlcwElyDn4hTrVQtJPl22puolClKPReKxdZF4bEkkHvsozyPI1+Om3abr+HQmddIfAHZq2mbs+qqNSZ+mCQ/ZW/3yClQFqzbwFS7Yl5S3fnMKbubG1hLkpQM2H7n8BNjN+/cfgSOMMWFvjfcdpJ41sX3Aa0pXbUHqiSELJ/1vyMJJ7w1ZOClIktRAvGDZZbhEfan4PpM7PnLX2o9XLvO7B9fhU4Vnr9nTP1tXtXGhz7Md/J/JD+NKrR3q0y4rXm6g3XG5BFLyRi5fYlMp1iW4YOAa3KDDn73cCLOBHsaV3ksm6D2qe7meK64oqyquKPukuKLsX8UVZWmfaxm6CJcbqGaZ70S+9/L2ha3vX7FhlV+/+P8uWjzeL3H4Q+AbDLTA31JudDtfhkuknLdqMzWcRI0yrCm8gHv2VldI+sEY09Za+zwuCWx1/orrcLmDkmkD/qV5Cf7s3qoUQJB6wYvAT8NFR9N9ovh+wAHM+e7tIV+uXbrFsgLPN8CJkXhsXYrtABw7v+ysB7581e9DaQFuNDAlLwpZxqaSLvkW9KUDXEdkoPfv6tEOcAlcdjPG/MK6BIovesetaR0pMufXsJL0o7nSSHnJEXciTSfeGLM9sNznXueEBdd++NBXFQ9utFXJEoOC+7tPuc7Sa9fqlIU3nPflmqV+o/oTA8y+eADY1RhzsE+7jHkdoP6kCWIkeANXRaXQCxRY798bcEtHZnjLIe4CzvL+XdO/A14qirKmAAAgAElEQVRa0HbS+NwIlNota58nCvRM/u7HtRc+//XnSQccvL/hszo+clfSZIPVjDGHjK58tntV+o+Nb3EB8ZQSlhdO9UvsmKVjgWf8Pt88icHAn57J3oyPObhSexbXP0pVwjnoDNB/B2wnjYg3ij4KuMan6Z5A2nvwosXj183+9pXLV29cmyq48Tau2kK66wmdtWjiRfO/f3eD8UpApnDvmW+WfpzuWN7ywjlsekHPt0D9a+sqvnyIq/4E3gCd9+/fAhcZY/bwchu1Msbsm+Qwn7Gp8lo6aWd81RYFEKS+uAr4R3Xm4TT2IkApmwe/fPWfl779l5eXrPxPGfDGqg0/rlmxYe1XT33z5rvAAZF4bHGqfY0xBdVZpR/8quICNo3M11QBDAo4cnsfsJdx1Q/yxltLFcGVhAoisbOyhE2dFYurRXujl2DxRpKs1QqNmmHxrxsNMCs0akbaAI00Pl4gcCrwa5/O8964qLyvv375yu8ue/svbwO3WGv/vWz96o2frv72s+e//WcMODUSj6Vc52eM2QNYsrZq/Y6vL/uoH5Dsvt8IRCPx2O1+15Lw4jFtK+Q1OQJ4OUiSRm+Jw2tsmpL8CW7Es7pDdR8wxZuu/SgJ5aMSPIdLSOfn7gBtpJHxEvO2I80IoCdQAOGMV2avG17x/I23Lfnn7cDzazZsWL5s3Y/fP/TpB98bY3p2fOSuR3yu5zfA7Be/+/TPFjucTeUUE30O/GKv2dN9/66tK1P8EjDSr20WMgnqzwGKvWdt4ksHuGVTg7216w8CEWNM2yTHCPJMXoRbMiHbnqnAeGttyhnDXgDb2ITqRak8/91rd5cumf7p2o0/TgbeW7Vh9frlG1b++8X/vf4sEL5o8fiUs6C8BL5x4KyH/zPvaODvKUbcHyD4vTkJ94Ke17wm3mzdDtbaoOUzUwUDV+KSo97t9Ruux8txkqi4ouy/3jH83BXwerYqVWGQOud18h/FlVZKOWXLGyl4y1qbLHKXrP2vcFnTrzDGXI9bS9XJehUHUuyzA64m6/bAkdUBDa+M5Tm4qcLLcDVdX8ik1rnXCZgBHJJmDVpGjKv1Ps5ae3LA9k2Ad3FrZffAlZ45MWH7+bhs2ud62eBvs65e7U+qbhm5A27mxW4k9zVwUGjUDJVy28YYY8YDVdZav1kB5wA7WWsDLQcwxjwHjLHWvmNcGde3gD9Ya1N2iI0xQ3AlJJ8Ahltr15eHo01wM3BOxJViWwLck2nZQWPMNOB9a+2MTPbzOeatwNPW2iAdCIwxp+DKY15pjLkOF3x4wtvWBDelMor7GZ8nSfmoNwdccRruxSSVe/rMu/G8jH8YadCMK/u7ABjsLXFL1/ZV4CRr7XcBjrsr8Fdr7SHGmFOBPsDR1tqD0uxTiHveDgDOstY+CbBk4Oj2wDCgN65c2f8Bf99r9vTAgeuEl5kjrbV5Wfrh/e4qcSWVA5VANMaU42YX/At4z1q7d8K23sCduNlJo4Gm1trNZjPO7D0+hHvxSFqpAff7+cWwRaUvZPbTSENnjBmIC3oPShfUN67SUJm1dnDA407ElVi9xxgzGzeg9rW1NmUg3ht1n4cLXB9Vnej0/j7jDwTOAnbE9R9nnflmaUbBLmPMGbjSlOdksp/PMYfhqpSNC9i+C+7z7XDv+dzHWjs2Yfs0XJBzKm4W4SBr7WbLOOf0L9kP97tMtQT4TeDQ4oqyVDOsa40CCFKnvKh7OfBHa+0cn7Z7AlOttYPStUtoX/0g3x/Xke4AfFnz4ZvQvj8u0eAi4HhrrV9G6IwZY6bjgiB35ul4k4Al1tpZGexzH3AbroO4yFq7X8I2g0sGcxtuqcdEa+2xNY9RdcvInXEvZ8U1NlUAw0OjZnxYcx9p3Iwxe+FGK/v55eMwxlyLK8caZG0hxpgzgd7W2qu8AMK3wBBvuU3NtgZXXeRc4PJ83Ws1ztEG97d+eJAXpwDHC+FGcXumC6LW2Gc7XNCgpzHmAqCNTaiJ7X1ePoqrR30DKcpHeUGEqcDPEr69FpepuyRdCUdpnLyXg7XW2rRl1rx77X1rbfd07WrsMwc3nXpX4FdAe2vtSSnadsS94Idwgfe8B6WNMWcDA6y15+fpeIOAiLV2dAb7XAIUWWtvMMbMx70I/ZCwfTxQgMtxsgD3WbjZ58TM3uOb4+7ZYV7bah8DFw1bVJqyzK00Tt7StQXACTZJOd8abX8J9LXWpq2gldC+G3C3tfYIY8wjuPKC/6gO8CVpPwzXr5yFm6EYKLgWlPdZNBdXqjwvZdONMY8DE6y1lRns8wYuGXJn3ODeqQnbWuBmDp6Gy13Ww1q7RT6EOf1LDsTNKto/4dsWVwliRHFFWb1YHqwlDFLXTge+9QseeAJNlazmPWDn4CoPrMSty05aL9YYc5XXdiouMpr34IHn98AYsymRYa5OwL3wZ+JpXIBkPfw0wgP8NEV7BHAt8BHQ1CQpHxUaNeOL0KgZR+PWe43ErT/rExo14xAFD7Y93sP7VtwsgSDZ1jO6l3EPzhO8WUgW2IEk2ZmNqw29EPeA7rs1ggfwUxnUawlQxzqgMPBm0OCBdw3Lge+MMbuTsBwpYfsHwJ+960xZPqrPvBsfAnbBfZZcgnsB6dxn3o1XKXiw7THG7I3LJp5q6V6iHXHVfDLxF9ySmhW4oH6qZ3Ixbk3xYtwo4Naa0fZXYA9jTDhPx8tk+UK1pFOfE8SAX+CWfj1OkjXmwxaVrhm2qPR8XFWM83CzFY4B9lTwYJt1DXCfX/DAk2n/+iNc7p09cPdyJ5Lcy8aYkDHmHlzw4Fxr7ch8Bw+867G451deyqYbY1rhckJkuuynOs/Yh7hZvonXuBrXX74bl0RykHH5oDZTXFH2BtATt0RxFK5P3q24ouyU+hI8AFwGTH3pqy6+cBlH3wM6Bmz/W+C8DM9xEPBYh6LtLtmxaPvXWjVpFqmxvQD3Ar4CN42xNn7u83BLA3I9zt7A7Cz2a4er2gCufvheSdqcjetYHQvMrOu/FX3V7y/v7+XeDNq/DRRkeI7bC0yTQe0LW725fUHzJUm274cLKswHWtbCzxzCJTw8KA/Huh44NYv9rsB1mjoCL6W4xrm4mUKP4mZM1Pnfi77q5xeues5c4LCA7Y8A7sjwHC2B97o2b9P3Z01bv75dQdPSJG0m4HIcXF5LP/cBuJkOTXI8TgEuAJDRZ5u371u4pZNjgaFJtu+Hmx25q9c2VNd/L/qqv1+4Zapv4EoQBmk/Cxd0z+Qc5wIT2xdud3u7wtaLWzVp3qnG9u2Ad3BLFnavpZ+7OgdTrscZAlyfxX79cUEbcMuFt7hPcUH9Elzut6vq+m8l2y8tYZA6Y4y5DTeF/o6A7e/BdVZeC3qOZ/pdffR7K796bN/WO7cC2GirVjQxobuB2LHzy0K46V3rcLkScp6KHIQ3Xfll4BJrrV/9+nTHKQGW2jRrztLs+xJuzdllwIu2xrQzb6TyMWAmLop9kvWvgyvbIG82zau4l9MtlhQkad8UWGCt7Rn0HOXhaLMPVv1naoei7Ya1KWzZwvv2W7jM5PceO7/sHNwMiFtwD+RaebB565NvweUNyWpUxbvX3sYt/ViZ4b7dgZtwgb7N1k4ntNkNFyi8FLjCBlwCJtseY8xw3H0caDq/MWYk0NxaOzXoOSoHjNnn9e8/f7JPm867NDGhgipbtTFkQg8DU3q/MO1fuBG86twI6UrO5ZUx5mbgnWyepwnHOAo421qbcd4QL4/JfO8/e1lrt8iY7z3z2+IGAZ6yAZeAybbF62POBaI24HR+Y8zrQLFNk2gx0UMHjjPL1686f9mGVX/q0nzHZgDW2i+NMTOAG09/c1IP3KzehcCxNkByxnzwRvRfA44I0h9Jc5z7gelBf38J+yXmGXsaGGlrzADxlldX4GYX3IW73xtc0nEtYZA64U0X3A83xTaojKZYlYejI0Im9H/VwQOAJibUGrhs7cb1i3coav0xLmHiXrUVPICfMqhfBtzsfdBnazDwjyz3fQa3tKNm1mfgp+lgFwGTcR9wqcpHifwBF6kP+rD2LRWVqDwcbQ48u2fLn41MCB6Am+J3z2vfL3kf9xI/xFp7ZW0FDwCstYtwo4Ln5nCYnsCHmQYPPEuAnYEWwDIvN0PNa/wEtzb6dKC1SV4+SrZxxpj2wO9IXaM8mYyeyZUDxhwMLDiobZduTUyoACBkQk2A06usXXBQmy5f45Y1dKnN4IFnHHCZ93vIVjbLF6pVL2PYYjlSguuAQ3FJUbfI4i7iOQeXGyto8CAEtM4keADcuF1hyzurgwfecToDk75bt+ztolDhK7h+QXFtvhxbV3L2D+SwvNAb5OiDm5WU6fk3Aq/jliUuIXn/ei1wIS74/wxwZrbXWpcUQJBa5625n04GiVS8UbrtbUJioXTKw9HdcGuukmrWpLDjtfuc+YG19sxsRw5z4XWO3sGtN86YMaYrsM5a+3WWl+DbWbHWfoObSjoAODbZy4ls24wxh+D+foKUEauWaf6Dq4Ejk22w1nJw2732umW/80bZgNULtoLf4/ILZJvX5GSyfOnwgiVzcEsUknZWPLfj8hzMQS8ektwfgWutlxk9oMD3cuWAMQW4db+tkm0PGdP8+n2Pb/ZEv3MOtNauyOAa8sLrW1wHTMlmf+8lrBj3cp+NV3HTnz/EBVmTXeMG3BLIEuB77/NX5CfGmA64z/hAyRA9O+OqAwQVIcWgkrWWHYq2321y93MftT7VmLaiWUB3k33Z9KOAeTm8G1T3r5PlMwF+egeY7f3nZTkOJtaJBnfB0ihcBsyx1v4zg31+RrCa5dUuAtImUunUrN3+5eHo7hkcM9+iwG+zfDE/GbfEIFtv4zopn5J6tANr7d+Ajbi1dCNXjBi63YoRQ3dfMWLoFolfZNviBQJvJvOMyoFfOsrD0ULcvZzqGgDYvWXHszI4f15Za5cCN+JqtmfjRNwSg2w9jUt6l66zYoELcMklD2xeUNB59eihnVePHrrr6tFDC5PtI9sOY8xhuLK8MzPctSvBXzxOALqka7BdYbMWXZq3+WWG15BP9wL7GWMOzGLfg4DFNoNEqImsS2r8Fm5mZlGqFwpr7fveda4GrprZe3yzmb3H7z6z9/gdszmvNDrXATHvuRRUpkH9lBVGqp/JXZt3jDx04LimGRwzb7zn3aW4hIrZvOfmMpMINiVSTPlM9kzC5ZH5DDhuTv+SHeb0L9l9Tv+SFmn2qTcUQJBaZYzZBTe9KtPO9j7A+xm0D5JR2QDZRihz5o303ER2Lx6/JIcAgvcBOw/3e+3o03zUgR3aH/rIwAFjvYfSR8DSFSOGPrZixNA+2V6DNHhX4JJ4vpPhfpncy7vg//cJwe73reluoI8xplcmO3mlL7/LsLNX04vA4aRYjlTNWvt5yHDDmN49mr87bPBi4AvgE+DL1aOHTlk9emjSkWFp3IwxRWwKBAZe/mOMaQ2syiB42C9guzq7l72f5VKyW16Y60sHbBq5/Jz0wZab2hdu3/XCroMPq7JV/8M9k7+Z2Xt8xcze45OWxJTGzxhzJG42wV8z3HVr9K/bkWImTW2wrvTiG0BG5Vm9HAaHAy/kcO6lwCpgOemfyeuAEYe03bPnrfsPvw9Xnvoj4Ls5/UvumtO/pGu211AbFECQWpNQn/131tpVGe6eaYQ0aEeorrOI/hnol6xUYipebeyW3trmXFR3VpZ7NeWTWn7B2fs9f8LATr/o0rlVQnmcEC4Hw6srRgwtzvE6pIHxEvOdjcuRkanuuJfdIBrEfZyQ1+RPGb54ZL18IeHcP7LpszHlaMfq0UPN8ovPCk/u32ePji2at0t4V+yAmw01V0GEbdKVwJPeyHYm9iazl46Gci+/iSsdeU7Qfby+zfG49cy5eBaXEDVdHgTu7TWu0x97jO56SLsD2oVMKHG08mDg8Zm9x1+R43VIA+Ot259GhoFAT6b966BBw7ruX2dTNv1QIO7NCMrFM7g8Cjuna/T8wVf/vHTvU3bZq9XPEmf1NsctVVowp39JnQVh/CiAILVpMG7dfjZrlfcmsw+4lwK0qcJlQq0zXsKV6hePLWq0p3AirhZ0rubh8huk7KysGDG0CLi/SShUlOIYzYC/rhgxtE6mqknt8/5Op+OqHazOcN8Q0CyDAOK/cSPlfoLc71uVtfZ13GfUFjXa0xhMfu7lp4F9ST/ic6IxZkR13zLJx81BuERyso0wxnTDJdfMJuFYps/klwO2q/N7GVdK8UpjTNuA7fcDPsk1d4O19r+4JYP/If3U59sKTJNOabZfP7P3+H1yuRZpcH4LPGatXZLFvlvjXv4G17esM9ba74EbyGygIx8zicCVhz8OWGuMSbokwZthkDJXG2725V15uJatQgEEqRXedMfJuJflbGQaIb0zQObXxyLxWJ2XJrTWxnHTloJmYs3LB5z38vdvYCmpOyuDcfkn0unoXZNsG04BVlpry7PYdxdc3o1AIvHYRlyFBXwGVf6UxbVsDVHgaq+UVFrGmC7ARmttJrldUnkGOAZolmYGxCjvvOmOc8Hq0UObpWsgjYMXCLwF+E2W6/YzfSbPttZ+6NPmU3LLB5IX3hTkaQRfXpivlw5w93I7Ukx9ntl7/G64F5N0DDAyT9cj9ZwxZk9gCK76QDY64l74gwryvL3ttDcm5jqKnw/3AD2NMb7Lbb3PxF8Az+XhvO8AewAfkzqwfwFQ4HOcw+b0L9k/D9eTdwogSG0pBW631n6Z5f6dgK+CNj52fpmZ9skz//FG+JN5F7g4y2vZGq4GxqZbSgDgJVzsTGYdt3SextWVTrVO66CAx6mzXBJSe7y/z4lkX9Yz05cOfvn6Dd+8tezTpWlefGOReCybYEbeeeVg/4SrXuJnMLklQk0871dAEfA1qadMBrmX2wLd8nFNUu+dCiy11v5flvtndC/3fmFa0fmVj/xn7cb1qWYtfQ+c0mve1A1ZXk++3QUcZIzpGaBtrolQEz2NqyGfKqjfBxcg8KNn8jYgIRA4xlvOlun+7XGfA4GXG5z+5qSVT3xdka5sczlQlum1bA0Zlk3/OfC2tXZNHs5rcXkUfiT3/nXQdrVKAQTZ6owxvXHliW7Jcv/tgeVBP+C89dlPP/ft4nOMMQcDfwOqZyN8gevc94/EY0Hr1m913tTF24DxPk2PB57KY637p3HT11J1VlIFYLJtJw3bJOCWHEbNM3rpMMZcuKZq3Tn3fvHiHrgRtcXepuqH8+BIPDY2y2vZWu4ADjHG+I0a5JQINYlyYD26l8WH90ydgEuEmq09cCUHg5yvJfDEomVfPtysSWEPXJCtuiTzcuBW4MBe86a+kcP15FXC8sKb0y0vNMbsAfzgBQ/zYRGwO6mTKOo+lkSnA99Ya+dmuX+mz+RDgHvu/2rOIbjqP3PYlBPhHVyFhhNPe2Oi3wzgWpNB2fR8ziQC17/uQCN9JvtNnRDJiZd071ZgVJrZAH4Cf8B5Wc3/Dlxora3Ob3BaeTgaAgoj8VjGEdpadBsQN8bsmyaz/S/JY2TXWvupMaZpiyaFPd466vL2wPc9505LTJDzAvC7AId6IV/XJPWTV9rsIHJ76dgH+EvA812CG9k77t0VX6wCbgdu90o7VnnLG+oda+1GY0z1i8dRyYJ9Xq3u1tbaj/N46qcN5riOTdv1vrfXhNeGV05YWWP7C7jlJ+l8ScCXQmnQpgA3W2u/zmZnr3KDCbBMsHrW0pPAfdbaO71vX1o5YMxluFkz63rNm1rXydaSstbON8Z8gMtrMitFs5wTodY4pzXGvFJomhx52W6ndTmwzd5fD1tUmjgV/DVcoNCv/Oq8fF2T1E/ejNTfA0fmcJhM+tdH4iq2nOAl8f4AePqhA8c1AUL1ZMlCKlHgFWPM49baH2puTEiEms+ZE/OAm7cvaL50Tv+StsAPxRVliZ91L3rnTMcSPH9MrTL5G8gU2ZIxZhSwl7U229wHGGPOBTpaa9Ou7zLG9AAeBoZ7EccGxxhzKG65x9E1Xzy8RCxvAD3yNQPhraMuP+6TVUtv261lu+pyMd8AdwLX95w7bdmKEUNDuMjt3mkO8yGwd+s7Z9XLFzrJnRcIfBW42Fq7KIfjvAqc5DdaZ4z5La5TdEo+phPWBWPMPcBz1toHkmw7H+hkrZ2Uj3Pd22tCyypb9ZvlG1aNa1PYurpSyqvADcMrJzwGsHr00MNxHZZ0oi2mz6oXU09l6zDG9AVuBA7PoARjzWP0wNWaH+zTri0umdjt1tqZ2ZyrrnnBvheBsLV2eZLtFcCpOSzP3MzM3uN7fvPj0unti7Y/tMAVPVqNK8tXNmxR6Sdem5nA0DSH+RHYc9ii0jrP8SRbjzHmNuDNhMBcNse4EZhrrX3Kp91A4I/AIGttg/y7MsaMBPZJ9j5ijNkX+KO11u+FPpA5/UtCwDlfrv1+WudmbVt73/4Al4D6tuKKsvVz+pfsgCulnK760RPFFWX1sjSrljBIXpWHo0Xl4WhTAGNMJ+DXuAhpLnwjpF799YeBMxtq8ADAWvsKLtfDr5JsHohLRJWv4MFvgKcTggfgkulcA7z81lGXt21956wqXHKe/6Y4zLfALxU8aFzKw1FTHo62KA9Hq19GRwEVOQYPDNA+XfDAOONwS55ObqjBA8/VwDVeAtma8jZV8t5eE1oD80ImVJoQPAA4BPj7vb0mjAdoMX3WS941pfIYcF0+rknqjyf7XlPwZN9rWjzZ9xpjjCnAdWB/nW3wwBPkmbwDMBs306FBBg8ArLXf4pZfTqi5zRjT2WuTr+DB0UC8Y9N21cEDgBbACGDhzN7jq8s9X4obTEhmA3C2ggeNy+xw1MwOR5vPdjPwMMaEcZV3cs3SH+RePhE3Mh9pqMEDz51AOEXZ9Lw9k+f0LzG4Eu13JQQPwCVTvAl4dE7/ksLiirLvcLloUiWxfReXaLFeUgBBcua9bJxdHo7Ox0W+15aHo2+e3qn/4wUmND5Z1D5DaUvMGGMOwkXoT7XWvpXjueqD3wLjjTE1o5J5+4B766jLewHXp2myP26UitZ3znoH6I2LPn+Nm1L1jbd/n9Z3zvpnPq5J6l55OLpjeTh6Le7/7ypg1d8P+s1j3Vt2uozcS/x1IHUgqjrAEMMlEDs1m4RQ9Ym19hvcsovNAqje+vMuuM5BPkwhfZKlCff2mnAIQIvps67FVWt4Ctdp2Qi8jqs5fWqL6bPqSwI7ydGTfa854sm+1zyJ+/+8Cvi0ZI9TntiuoEWFtXaxz+5+/J7JO+GCBzFr7UM5nqs+mAEc5o1SJspbItSZvce3AB7ElUZOph3w4Mze482wRaU/AIcDVwL/wq1BX4FbZtF32KLSR/JxTVL3ZoejTWeHo2OA93GzUX58tl/J3MPb7TOL3AOBALviqnElZYw5FfcMG5inikF1xievyUnAE3k61ZnAuWm2nwBcAlBcUVaOS954F7AM17/+CFdK9uDiirJ6k6utJi1hkJyUh6MG93C9MNl2a+39xpihkXgs6w85Y8zbQC9r7RadWy+hy+240coPsj1HfWOMuWK35h12v/WAC74F+lbZqqr7vni53zEdDuhxbuVtOSdreuuoy+/AjWqk8yPQuefcaf9L/OaKEUNN6ztn6YOjkSkPR7viarDvUnNbla3aEDKhwZF47Olsj2+MOQI3Q+iiJNsMMBVXBeC8HPKl1CveiG987J4n33xou72PBDp9uvrbls/8t/Kri3c95oxcPhcB7u01oRWuZny6KZAADw6vnHBGzW+uHj3UtJiue7mxebLvNSNwz8Utkv9V2arFIRM64oQFk7dYBxyUMeY+4CZr7etJtu2MC1CVWGufzfYc9Y0x5pCmplns/M5XP+hN5y56Z+XCHmuqVp8b/+H5nPMNzOw9/jyCjSYfPWxR6Zwa+5phi0p1Hzcys8PR5riynkemaHLNwHhsSrbH95bFvmqt7Z1i+9m42YfHe6VNGwVjzN1HtN/3/Su7nbQTsM+qDWvNA1+9sssFXY/uM2j+lJxnPc7pX/IaEPZp9gnQrUZOBOb0LzE1v1dfKYmi5OoMUgcPMMaciUsAMiObgxtjmgEbUgQPBuCmA1UndGk0/nHQVctDmF/jdQBDJsSwLkcAfFwejp4aicdm53iKgwO0aYqbefB84jcVPGi07iVJ8AAgZEIFwIPl4egukXgs245E0qmSXmmlW3Az4s7Nw4hKvfFsv5Km369bua5tUat7q7+3S4sOXLzrMQCdysPRk3L4fQLsh3/wAFLc7woeND5P9r2mO+55u0XwwFpLyIQOAKYB5+Rwmr1xI6KbMcbsihvFuzyHrPD10qgupVXrqn7sZ4w5vPp7+7b6OcDzo7tO/N30z8alm9EXRP+A7Q7GZb7/iYIHjdY40idInDw7HH1xYDz2SpbH746bwbIFY8wFuKoFEWvtsiyPX+881W+sub/PmJWtC5pfW/29lgXNuKDr0QDvP9Vv7HGD5k9JlcTcl5f7oF+Aprvhlgxvlsi2oQQPQEsYJHeXptqQMEPoEm+mQjb2xCUeqXnsgbgRy+MaW/CgPBw9pihUcEdBqEmy31lr4PHycLRHbV+XNF7l4ej++GdybgUMz+E0WwQQvOSMd+HKrI5sTMEDz51ti1odXHOmn/ffhwJ/y+GzEdx0R5FEF5Oib5fwTD7jyb7X7JDNwb2AX0tr7Yoa398DV23h140teDC668SdgWeKQk2bJtkcAq4b3XXi6TmeJui9rHt+GzA7HG1GisG5Gi7J4TSpgvqjcIODxzWm4IHn0tYFzVP9zroCs5/qN3b7HM+xTdzLCiBI1rxyakEibT1wU5Ozkeyl40TcWuljrbVfZHnc+ixKktGjBM3IrZQeQJCI9VpSJ2qSxuXQgO0Oy+Ecm93LxphC3Jrdb3Ajlg36YVpTeTi6J64TRs3llgn/XQz0zeE0bwNBcsxkO0IlDU+Qe7SI7P/uugCbJbZyWd8AAAuVSURBVFIzxuwD/AM430sE3NiMAtr4tBk7uuvEXIKBQX9vjfH3K1vaB5f3wk/enskAxpgrgUG4ags1SwE3aE/1G1tI+kTCAJ3JYXZWcUVZFa7Uqp8PSZMTqiHQEgbJRSYPy8Bty8PREC7R19GTu5922A8bVleWh6MtIvHYai+hy1W4aVX1NrlItsrD0fYEq+k7hNyys94KXET6/y/39Zw77fscziENR9D7M6MOcnk42hY4C+g+cpdj+hy3Y68u5eHo58fOLyvEJQx7C5jY2IIHnpMDthsCzM/mBMMrJ6y6t9eEu4AxPk2nZ3N8aZByeYlNqaTbxN7AKefv/Ov9P1/zabOSbhM7ln007hsvo/kDwNm5VGmp504J0GY/YC9STAkP4G+4RMU7pmmzGJenRhq/rXIfVw4Y0xSXkLtvbJ/I8W0Km39XOWBMQa95UzcYY67BJeQd3NCTGKdwMLBTgHZDcMujs3UzrgpSOn9qSMsVktEMBMlaJB5bR7AR6iVAoHW+3qjdYqAcuPLANrv3K95hv4uALy7c5egbcR3lgY0xeODZLmi7XKY+95w77Z+kn/r2Bi7Ds2wbgkTMASqCHrA8HB0JfAn8CRh90k4/b18YKnilyla9vGPRdk8B8621pY00eAAQdBqk38imn98Dr6bZfvXwygnxHM8hDUeQe3kDAWeXlXSbuF1Jt4lPAW8CYzsUdTyxz/Z9DwM+P3/nUbfggge/asTBA6iFe3nYotI1uPLNq1I0+S9whvIdbDPex2Xl9xP02U3lgDFH4Cou3A9cfmzHvfc8uN0u06y1HxzVYY+7gAOAIY00eADB7+NclzA8DNyWZvsjuLxPDZoCCJKrICNbt0TiMd+HXnk4ugMwF1fbtqa2J+3088v/3POiSdbaxjwq/g2pa8Im+iTI7zSdnnOn3QIcDTyLKwMF8BmufMyRPedOa2xr3ySFSDy2CP/gwBrgniDHKw9Hz8Q9QJsnft9L4nbI1H2H93i2X8m0rC624Qiam+XjXE4yvHLCKtyMrd8mHMviEq0dN7xywrWp9pVG6Vb819Y+fMKCyd/4Haik28QQrkzh8Uk2F+7YtOOvR+w8+h/W2qyTjjUQQe5lC3yay0mGLSp9ETcC/Bfc5y24l8ibgZ8PW1Sar9KvUs8NjMdWE6wqR6AX0coBYw7AVXTYYgTeGLPr5H0Gnv3cwReUWGvXZ3alDUrQZ3JOedW8mQWjcLMvE2cXLsbN/D29uKKswVeaUgBBcjUT+Gua7Y/jOjRBjAR2TrWxiQmZzs3a/TaDa2twIu6hcX+Apnfn43w9506b03PutONweRVaAbv2nDst1nPutEa19k0CGY4rCZjMBmBYJB7zLSFaHo42ASYn22aMwVpLu6JWnXHTBBuzvwF+99FG3GdoToZXTlgzvHLCdcAeQEug6fDKCUcPr5zQaMroSTAnLJj8DumXtLyHq4UeRDFwVLoG7Ys6jCzpNrFFwOM1VEGet09P/2zc1/7N0hu2qPS9YYtKz8U9j1sD7YYtKr1s2KLSz312lcZnPJBu9ljZwHgsaMLSsUDK+7RFk6KiDk1bXZ7JxTU0g+ZPeRvYovRsEjn3r4srymxxRdn9xRVlYVz/ukVxRVnP4oqyOxpD8AAUQJAceXXMh+Fe/hNHIZbgKjScGonHtijBmMLZAdocWR6OpgwyNBITSZ9c5X3yvKa559xp63vOnbaq59xpmh65jYrEYx/iRr+mA9UZ1qtwydEOi8RjjwQ81MG4EkVJJSQQDHK/N1iReGw5UOLTbEokHvsyX+ccXjnBDq+csHp45YTGPIokPk5YMPkm4FjcjL5q3wJ/APqfsGBy0CWAZwVo09Y7V2M2k/R5Slbgf69nZNii0qphi0pXDltU2tgq00hAA+Oxlbgg3u+BxIThceC0gfFYNMhxKgeMaYHLe+Dn7MoBY7ZK7oV65Apc1adUynHVZPKmuKLsx+KKsjX+LRsW03iXn0pt89bkt8Elf/k+0yn25eHoUoJVazgwEo+9mcUlNhjl4Wh3XBS0Zm3op4HzI/GY7/RTkWx5FVbaAisi8VhGD77ycPSXwKMBmi6KxGN9srm+hqQ8HL0QNyOjQ8K3lwFTgOtzXYokks6Tfa9piRt5XHrCgskZjXyVdJv4LBAJ0HRU2Ufjgs40bJBGd53YBpgBnMrmg2+VwPnTPxvXqPskUrdmu+Ti7YB1A11wOrDKAWM6s3kAIp2iXvOmNuoA9FP9xh4J3I5LelptPW7p0GWD5k9pdC/7W4MCCFJvlIej7+LKyvjZOZ+jdvVZeTjaCzcqvBF4yRslFqm3ysPR/qRP6lft2Ug8dtzWvp76oDwcbQoMBDrhRoKf9ZYridRbJd0m3kOwkmanlH007u9b+XLqhdFdJ3YFBgBNcVVkFkz/bJw60lJvVQ4Y0xwXtC70abq017yp7WvhkurcU/3GGuBwYG9gNfDcoPlTNDCXAQUQpN4oD0ejuFG5dOZG4rHi2rgeEcmcV4Z1CdDNp+kZkXjswVq4JBHJQkm3iUfhknGmsxToXPbRuCDJf0WkDlQOGHM/cIZPs5t6zZvaqPMgSP4oB4LUJzNIn8V4PTCulq5FRLLg5UXxW5v5BrBNjFiKNGDzgOd82kxQ8ECk3ptC+qS+3wE31tK1SCOgAILUG5F4bCku43OyetLfAoMj8ViQqdEiUoci8djfgPNJ3mGZA0Qi8Vi6REYiUsfKPhpngVNIntNkLa50aF4T+opI/vWaN/Ud3DK6ZNU8PgCKe82b+lntXpU0ZFrCIPWOl4zxCFxt8yJcQOHRSDz2Y51emIhkpDwcbQ2cDnQHVgFPROKxN+r2qkQkUyXdJvbABRPaAB8DD5R9NG5p3V6ViGSicsCYQmAQEMZVWXoJmN1r3lRV+5CMKIAgIiIiIiIiIr60hEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPhSAEFEREREREREfCmAICIiIiIiIiK+FEAQEREREREREV8KIIiIiIiIiIiILwUQRERERERERMSXAggiIiIiIiIi4ksBBBERERERERHxpQCCiIiIiIiIiPj6f+vQFU1aCT1iAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot Fourier basis\n", "fig, ax = plt.subplots(4, 4, figsize=(8,6), dpi=150)\n", "ax = ax.reshape(-1)\n", "vmin, vmax = np.min(Phi), np.max(Phi)\n", "for i in range(len(ax)):\n", " nc = Phi[:,i]\n", " nx.draw_networkx(G, pos, node_color=nc, with_labels=False, node_size=15, ax=ax[i], width=0.4, cmap=plt.cm.magma, vmin=vmin, vmax=vmax)\n", " ax[i].axis('off')\n", " ax[i].set_title(rf'$\\lambda_{{{i}}}={w[i]:.2f}$',fontdict=dict(fontsize=8))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "#### Features and targets" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "- Each node in the graph has an extra attribute, `club`, representing the member's post-split affiliation.\n", "- We'll save all the labels for test time, but we'll only train on the Instructor and Administrator data.\n", "- Instead of real features for each node (member) we'll just use a one-hot encoding.\n", " The purpose is to show that we can classify nodes based on the graph structure alone." ] }, { "cell_type": "code", "execution_count": 112, "metadata": { "scrolled": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "[(0, {'club': 'Mr. Hi'}),\n", " (1, {'club': 'Mr. Hi'}),\n", " (2, {'club': 'Mr. Hi'}),\n", " (3, {'club': 'Mr. Hi'}),\n", " (4, {'club': 'Mr. Hi'}),\n", " (5, {'club': 'Mr. Hi'}),\n", " (6, {'club': 'Mr. Hi'}),\n", " (7, {'club': 'Mr. Hi'}),\n", " (8, {'club': 'Mr. Hi'}),\n", " (9, {'club': 'Officer'}),\n", " (10, {'club': 'Mr. Hi'}),\n", " (11, {'club': 'Mr. Hi'}),\n", " (12, {'club': 'Mr. Hi'}),\n", " (13, {'club': 'Mr. Hi'}),\n", " (14, {'club': 'Officer'}),\n", " (15, {'club': 'Officer'}),\n", " (16, {'club': 'Mr. Hi'}),\n", " (17, {'club': 'Mr. Hi'}),\n", " (18, {'club': 'Officer'}),\n", " (19, {'club': 'Mr. Hi'}),\n", " (20, {'club': 'Officer'}),\n", " (21, {'club': 'Mr. Hi'}),\n", " (22, {'club': 'Officer'}),\n", " (23, {'club': 'Officer'}),\n", " (24, {'club': 'Officer'}),\n", " (25, {'club': 'Officer'}),\n", " (26, {'club': 'Officer'}),\n", " (27, {'club': 'Officer'}),\n", " (28, {'club': 'Officer'}),\n", " (29, {'club': 'Officer'}),\n", " (30, {'club': 'Officer'}),\n", " (31, {'club': 'Officer'}),\n", " (32, {'club': 'Officer'}),\n", " (33, {'club': 'Officer'})]" ] }, "execution_count": 112, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Input: features will be one-hot vectors (no actual info conveyed)\n", "X = torch.eye(G.number_of_nodes())\n", "\n", "# Create ground-truth labels\n", "labels = [(0 if d['club']=='Mr. Hi' else 1) for i,d in G.nodes().data()]\n", "labels = torch.tensor(labels, dtype=torch.long)\n", "\n", "# Labels represent group affiliation\n", "list(G.nodes().data())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "#### Graph laplacian" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We'll calculate a modified version of the normalized graph Laplacian based on the paper,\n", "\n", "$$\n", "\\mat{\\Delta} = \\mat{D}^{-1/2}\\tilde{\\mat{A}}\\mat{D}^{-1/2}.\n", "$$\n", "\n", "Where $\\tilde{\\mat{A}}=\\mat{A}+\\mat{I}$, $\\mat{A}$ is the adjacency matrix and $\\mat{D}=\\mathrm{diag}(\\{\\sum_{i} \\tilde{A}_{i,j}\\})$ is the degree matrix." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Note that,\n", "\n", "$$\n", "\\Delta_{ij} = \\frac{\\tilde{A}_{ij}}{\\sqrt{D_{ii} D_{jj}}}.\n", "$$\n", "\n", "Specifically, $\\tilde{\\mat{A}}$ represents a graph with self-loops.\n", "\n", "**What's the significance of self-loops in our model?**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "This allows the output features of a node to depend on it's input features, not just on it's neighbors." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "At layer $l$, the model is:\n", "\n", "$$\n", "\\mat{Z}^{[l]} = \\varphi( \\mat{\\Delta} \\mat{Z}^{[l-1]} \\mat{W}^{[l]} )\n", "$$\n", "\n", "**What do each of these matrix operations represent?**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "- $\\mat{\\Delta} \\mat{Z}^{[l-1]}$ is **combining** input feature maps, locally: from each node and it's neighbors.\n", "- $\\mat{W}^{[l]}$ is **transforming** the combined features to an output feature map." ] }, { "cell_type": "code", "execution_count": 114, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "# Adjacency matrix\n", "A = nx.adj_matrix(G, weight=None)\n", "A = np.array(A.todense())\n", "I = np.eye(A.shape[0])\n", "A = A + I\n", "\n", "# Degree matrix\n", "dii = np.sum(A, axis=1, keepdims=False)\n", "D = np.diag(dii)\n", "\n", "# Normalized Laplacian\n", "D_inv_h = np.diag(dii**(-0.5))\n", "L = np.matmul(D_inv_h, np.matmul(A, D_inv_h))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Model" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We'll implement our graph convolutional network (GCN) directly based on the **spatial** formula shown above.\n", "\n", "I.e., we'll compute simple powers of the Laplacian matrix to locally combine node features." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Our model will have two GCN layers.\n", "Each layer takes a tensor containing $C_\\text{in}$ features for each node,\n", "and returns a tensor containing $C_\\text{out}$ features.\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 116, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import torch.nn as nn\n", "\n", "class GCNLayer(nn.Module):\n", " def __init__(self, graph_L, in_features, out_features, max_deg=1):\n", " super().__init__()\n", " \n", " self.fc_layers = []\n", " for i in range(max_deg):\n", " fc = nn.Linear(in_features, out_features, bias=(i==max_deg-1))\n", " self.add_module(f'fc_{i}', fc)\n", " self.fc_layers.append(fc)\n", " \n", " self.laplacians = self.calc_laplacian_functions(graph_L, max_deg)\n", " \n", " def calc_laplacian_functions(self, L, max_deg):\n", " res = [L]\n", " for _ in range(max_deg-1):\n", " res.append(torch.mm(res[-1], L))\n", " return res\n", " \n", " def forward(self, X):\n", " Z = torch.tensor(0.)\n", " for k, fc in enumerate(self.fc_layers):\n", " L = self.laplacians[k]\n", " LX = torch.mm(L, X)\n", " Z = fc(LX) + Z\n", " \n", " return torch.relu(Z)" ] }, { "cell_type": "code", "execution_count": 117, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "Sequential(\n", " (0): GCNLayer(\n", " (fc_0): Linear(in_features=34, out_features=10, bias=False)\n", " (fc_1): Linear(in_features=34, out_features=10, bias=True)\n", " )\n", " (1): GCNLayer(\n", " (fc_0): Linear(in_features=10, out_features=2, bias=False)\n", " (fc_1): Linear(in_features=10, out_features=2, bias=True)\n", " )\n", " (2): LogSoftmax()\n", ")" ] }, "execution_count": 117, "metadata": {}, "output_type": "execute_result" } ], "source": [ "torch.manual_seed(4)\n", "\n", "in_features, out_features = X.shape[1], 2\n", "graph_L = torch.tensor(L, dtype=torch.float)\n", "max_deg = 2\n", "hidden_dim = 10\n", "\n", "# Stack two GCN layers as our model\n", "gcn2 = nn.Sequential(\n", " GCNLayer(graph_L, in_features, hidden_dim, max_deg),\n", " GCNLayer(graph_L, hidden_dim, out_features, max_deg),\n", " nn.LogSoftmax(dim=1)\n", ")\n", "gcn2" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Training" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "We'll train as a simple classification task, with the only nuance that only the Instructor and Administrator labels are used." ] }, { "cell_type": "code", "execution_count": 119, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import torch.nn.functional as F\n", "import torch.optim\n", "\n", "def train_node_classifier(model, optimizer, X, y, epochs=60, print_every=10):\n", " y_pred_epochs = []\n", " for epoch in range(epochs+1):\n", " y_pred = model(X)\n", " y_pred_epochs.append(y_pred.detach())\n", "\n", " # Semi-supervised: only use labels of the Instructor and Admin nodes\n", " labelled_idx = [ID_ADMIN, ID_INSTR]\n", " loss = F.nll_loss(y_pred[labelled_idx], y[labelled_idx])\n", "\n", " optimizer.zero_grad()\n", " loss.backward()\n", " optimizer.step()\n", "\n", " if epoch % print_every == 0:\n", " print(f'Epoch {epoch:2d}, loss={loss.item():.5f}')\n", " return y_pred_epochs" ] }, { "cell_type": "code", "execution_count": 120, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 0, loss=0.70683\n", "Epoch 10, loss=0.42089\n", "Epoch 20, loss=0.17294\n", "Epoch 30, loss=0.04735\n", "Epoch 40, loss=0.01424\n", "Epoch 50, loss=0.00629\n", "Epoch 60, loss=0.00385\n" ] } ], "source": [ "optimizer = torch.optim.Adam(gcn2.parameters(), lr=0.01)\n", "\n", "y_pred_epochs = train_node_classifier(gcn2, optimizer, X, labels)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Since our loss is calculated based on two samples only, it's not a good criterion of overall classification accuracy.\n", "\n", "Let's look at the the accuracy over all nodes:" ] }, { "cell_type": "code", "execution_count": 121, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " I 1.00 0.94 0.97 17\n", " A 0.94 1.00 0.97 17\n", "\n", " accuracy 0.97 34\n", " macro avg 0.97 0.97 0.97 34\n", "weighted avg 0.97 0.97 0.97 34\n", "\n" ] } ], "source": [ "from sklearn.metrics import classification_report\n", "\n", "y_pred = torch.argmax(gcn2(X), dim=1).numpy()\n", "y = labels.numpy()\n", "print(classification_report(y, y_pred, target_names=['I','A']))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Compare with MLP" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "That seemed too easy, so lets see what we get when we use a regular MLP on the same task.\n", "\n", "Remember, we're only training using 2/34 labeled samples." ] }, { "cell_type": "code", "execution_count": 125, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 0, loss=0.69315\n", "Epoch 500, loss=0.69315\n", "Epoch 1000, loss=0.69315\n", "Epoch 1500, loss=0.69315\n", "Epoch 2000, loss=0.69315\n", " precision recall f1-score support\n", "\n", " I 0.00 0.00 0.00 17\n", " A 0.50 1.00 0.67 17\n", "\n", " accuracy 0.50 34\n", " macro avg 0.25 0.50 0.33 34\n", "weighted avg 0.25 0.50 0.33 34\n", "\n" ] } ], "source": [ "mlp = nn.Sequential(\n", " nn.Linear(in_features, hidden_dim),\n", " nn.ReLU(),\n", " nn.Linear(hidden_dim, out_features),\n", " nn.ReLU(),\n", " nn.LogSoftmax(dim=1)\n", ")\n", "\n", "optimizer = torch.optim.Adam(mlp.parameters(), lr=0.01)\n", "_ = train_node_classifier(mlp, optimizer, X, labels, epochs=2000, print_every=500)\n", "\n", "print(classification_report(labels.numpy(), torch.argmax(mlp(X), dim=1).numpy(), target_names=['I','A']))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "As expected the MLP can't learn anything about the nodes that we didn't train on.\n", "\n", "Why was the GCN able to do this?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Recall that due to the multiplication with the Laplacian, the node embeddings calculated by the GCN at each layer combine the previous layer features from neighboring nodes.\n", "\n", "When we back-propped from our two labeled nodes, we also updated the model parameters to produce more meaningful embedding for their neighbors!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Visualization" ] }, { "cell_type": "code", "execution_count": 127, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import matplotlib.animation as animation\n", "from IPython.display import HTML\n", "\n", "def animate_classification(G, y_pred_epochs):\n", " fig, ax = plt.subplots(figsize=(8, 6), dpi=150)\n", " \n", " def draw(epoch_idx):\n", " pos = {}\n", " colors, sizes = [],[]\n", " for v in range(G.number_of_nodes()):\n", " pos[v] = y_pred_epochs[epoch_idx][v].numpy()\n", " y_pred_v = np.argmax(pos[v])\n", " y_v = labels[v]\n", " if y_pred_v == y_v: colors.append(y_v)\n", " else: colors.append(0.4) # wrong prediction\n", " sizes.append((math.exp(pos[v][y_v]))*300) # size is proba of correct label\n", " ax.cla()\n", " ax.set_title(f'Epoch {epoch_idx}')\n", " nx.draw_networkx(G, pos, node_color=colors, labels=node_labels, ax=ax, cmap=cmap, node_size=sizes, width=0.4)\n", "\n", " anim = animation.FuncAnimation(fig, draw, frames=len(y_pred_epochs), interval=150)\n", " html = HTML(anim.to_html5_video())\n", " plt.close()\n", " return html" ] }, { "cell_type": "code", "execution_count": 128, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 128, "metadata": {}, "output_type": "execute_result" } ], "source": [ "animate_classification(G, y_pred_epochs)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "skip" } }, "source": [ "**Image credits**\n", "\n", "Some images in this tutorial were taken and/or adapted from:\n", "\n", "- Kipf T, Welling M. Semi-Supervised Classification with Graph Convolutional Networks (2016).\n", "- Bronstein MM, et al. (2017) Geometric Deep Learning: Going beyond Euclidean data. IEEE Signal Process Mag 34(4)." ] } ], "metadata": { "celltoolbar": "Slideshow", "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }