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    "# Parallax effect\n",
    "\n",
    "This tutorial present how the volumetric absorption of photons can be taken into account to explain the peak shift at large incidence angle and quantify parallax the effet.\n",
    "\n",
    "This effect apparently disturbes the calibration at very large scattering angle and is likely to jeopardize PDF measurements.\n",
    "\n",
    "![experiment description](parallax.svg)\n",
    "\n",
    "Let's consider the sensor of a detector and assume it is a thick slab of material. This sensor is characterized by its photon absorption, but since it is not that obvious to find the numerical values, we will consider the **thickness** and the **efficiency** of the sensor (measured normaly). The efficiency depends on the incident photon energy which is assumed monochromatic.\n",
    "\n",
    "The volumic absorption follows a first order (exponential) decay, assymmetric, which is the cause of the apparent shift of peaks in the calibration procedure. This tutorial tries to quantify the effect.\n",
    "\n",
    "For most of the tutorial, the Perkin-Elmer flat panel detector is considered, it has a dopped CsI sintillator of 200µm which has an apparent efficiency of 80% at 35keV. The pixel size is 100µm.\n",
    "\n",
    "The incoming beam is considered with a Gaussian shape, but circular and square signals should be considered as well. We will assume the FWHM of the beam is 1mm and will tune this parameter. It correspond in first approximation to the sample size."
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    "%matplotlib nbagg\n",
    "import time\n",
    "start_time = time.perf_counter()\n",
    "import numpy\n",
    "from matplotlib.pyplot import subplots\n",
    "import numexpr\n",
    "import scipy.integrate, scipy.signal\n",
    "from math import sin, cos, pi, log, sqrt\n",
    "EPS = numpy.finfo(\"float64\").eps"
   ]
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    "class Decay:\n",
    "    OVER = 64 # Default oversampling value\n",
    "    def __init__(self, thickness, efficiency):\n",
    "        \"\"\"Class to simulate the parallax effect\n",
    "        \n",
    "        :param thickness: thickness of the sensible layer, in meter or mm, µm...\n",
    "        :param efficiency: efficiency for the sensor material between 0 and 1\n",
    "        \"\"\"\n",
    "        self.thickness = float(thickness)\n",
    "        self.efficiency = float(efficiency)\n",
    "        self.lam = - log(1.0-efficiency)/thickness\n",
    "        self.formula = numexpr.NumExpr(\"where(x<0, 0.0, l*exp(-l*x))\")\n",
    "        \n",
    "    def __call__(self, x):\n",
    "        \"Calculate the absorption at position x\"\n",
    "        return self.formula(self.lam, x)\n",
    "    \n",
    "    def integrate(self, x):\n",
    "        \"\"\"Integrate between 0 and x\n",
    "        \n",
    "        :param x: length of the path, same unit as thickness\n",
    "        \"\"\"\n",
    "        return scipy.integrate.quad(s, 0.0, x)\n",
    "    \n",
    "    def test(self):\n",
    "        \"\"\"Validate the formula for  lambda\n",
    "        sum(decay) between 0 and thickness is efficiency\"\"\"\n",
    "        value, error = self.integrate(self.thickness)\n",
    "        assert abs(value - self.efficiency) < error \n",
    "    \n",
    "    def absorption(self, angle, over=None):\n",
    "        \"\"\"Calculate the absorption along the path for a beam inclined with the given angle\n",
    "        :param angle: \n",
    "        :return position (along the detector), absorption (normalized)\n",
    "        \"\"\"\n",
    "        over = over or self.OVER\n",
    "        angle_r = numpy.deg2rad(angle)\n",
    "        length = self.thickness/cos(angle_r)\n",
    "        step = length/over\n",
    "        pos = numpy.linspace(0, length, over)\n",
    "        decay = self.__call__(pos)\n",
    "        decay /= decay.sum()   # Normalize the decay\n",
    "        pos *= sin(angle_r) # rotate the decay to have it in the detector plan:\n",
    "        return pos, decay\n",
    "    \n",
    "    def gaussian(self, width, over=None):\n",
    "        \"\"\"Model the beam as a gaussian\n",
    "        \n",
    "        :param width: FWHM of the gaussian curve \n",
    "        :param over: oversampling factor, take that many points to describe the peak\n",
    "        :return: position, intensity (normalized)\n",
    "        \"\"\"\n",
    "        over = over or self.OVER\n",
    "        if width<EPS:\n",
    "            print(\"Warning, width too small\")\n",
    "            width = EPS\n",
    "        step = width / over\n",
    "        sigma = width/(2.0*sqrt(2.0*log(2.0)))\n",
    "        nsteps = 2*int(3*sigma/step+1) + 1\n",
    "        pos = (numpy.arange(nsteps) - nsteps//2) * step\n",
    "        peak = numexpr.evaluate(\"exp(-pos**2/(2*(sigma**2)))\")\n",
    "        peak /= peak.sum()\n",
    "        return pos, peak\n",
    "\n",
    "    def square(self, width, over=None):\n",
    "        \"\"\"Model the beam as a square signal\n",
    "        \n",
    "        :param width: width of the signal\n",
    "        :param over: oversampling factor, take that many points to describe the peak\n",
    "        :return: position, intensity (normalized)\n",
    "        \"\"\"\n",
    "        over = over or self.OVER\n",
    "        if width<EPS:\n",
    "            print(\"Warning, width too small\")\n",
    "            width = EPS\n",
    "        step = width / over\n",
    "        nsteps = 2*int(2*width/step+1) + 1\n",
    "        pos = (numpy.arange(nsteps) - nsteps//2) * step\n",
    "        peak = numexpr.evaluate(\"where(abs(pos)<=width/2, 1.0, 0.0)\")\n",
    "        peak /= peak.sum()\n",
    "        return pos, peak\n",
    "    \n",
    "    def circle(self, width, over=None):\n",
    "        \"\"\"Model the beam as a circular signal\n",
    "        \n",
    "        :param width: Diameter of the beam\n",
    "        :param over: oversampling factor, take that many points to describe the peak\n",
    "        :return: position, intensity (normalized)\n",
    "        \"\"\"\n",
    "        over = over or self.OVER\n",
    "        if width<EPS:\n",
    "            print(\"Warning, width too small\")\n",
    "            width = EPS\n",
    "        step = width / over\n",
    "        nsteps = 2*int(width/step+2) + 1\n",
    "        pos = (numpy.arange(nsteps) - nsteps//2) * step\n",
    "        peak = numexpr.evaluate(\"where(abs(pos)<=width/2, sqrt(1.0-(2.0*pos/width)**2), 0.0)\")\n",
    "        peak /= peak.sum()\n",
    "        return pos, peak\n",
    "    \n",
    "    def convolve(self, width, angle, beam=\"gaussian\", over=None):\n",
    "        \"\"\"Calculate the line profile convoluted with parallax effect\n",
    "        \n",
    "        :param width: FWHM of the peak, same unit as thickness\n",
    "        :param angle: incidence angle in degrees\n",
    "        :param over: oversampling factor for numerical integration\n",
    "        :return: position, intensity(position)\n",
    "        \"\"\"\n",
    "        over = over or self.OVER\n",
    "        angle_r = numpy.deg2rad(angle)\n",
    "        pos_dec, decay = self.absorption(angle, over)\n",
    "        peakf = self.__getattribute__(beam)\n",
    "        pos_peak, peak = peakf(width/cos(angle_r), over=over)\n",
    "        #Interpolate grids ...\n",
    "        pos_min = min(pos_dec[0], pos_peak[0])\n",
    "        pos_max = max(pos_dec[-1], pos_peak[-1])\n",
    "        step = min((pos_dec[-1] - pos_dec[0])/(pos_dec.shape[0]-1),  \n",
    "                   (pos_peak[-1] - pos_peak[0])/(pos_dec.shape[0]-1))\n",
    "        if step<EPS:\n",
    "            step = max((pos_dec[-1] - pos_dec[0])/(pos_dec.shape[0]-1),  \n",
    "                       (pos_peak[-1] - pos_peak[0])/(pos_dec.shape[0]-1))\n",
    "        nsteps_2 = int(max(-pos_min, pos_max)/step + 0.5)\n",
    "        pos = (numpy.arange(2*nsteps_2+1) - nsteps_2) *  step\n",
    "        big_decay = numpy.interp(pos, pos_dec, decay, left=0.0, right=0.0)\n",
    "        dsum = big_decay.sum()\n",
    "        if dsum == 0:\n",
    "            big_decay[numpy.argmin(abs(pos))] = 1.0\n",
    "        else:\n",
    "            big_decay /= dsum\n",
    "        big_peak = numpy.interp(pos, pos_peak, peak, left=0.0, right=0.0)\n",
    "        return pos, scipy.signal.convolve(big_peak, big_decay, \"same\")\n",
    "    \n",
    "    def plot_displacement(self, width, angle, beam=\"gaussian\", ax=None):\n",
    "        \"\"\"Plot the displacement of the peak depending on the FWHM and the incidence angle\"\"\"\n",
    "        if ax is None:\n",
    "            fig,ax = subplots()\n",
    "        ax.set_xlabel(\"Radial displacement on the detector (mm)\")\n",
    "        c = self.absorption(angle)\n",
    "        ax.plot(*c, label=\"Absorption\")\n",
    "        peakf = self.__getattribute__(beam)\n",
    "        c = peakf(width)\n",
    "        ax.plot(*c, label=f\"peak w={width} mm\")\n",
    "        c = peakf(width/cos(angle*pi/180))\n",
    "        ax.plot(*c, label=f\"peak w={width} mm, inclined\")\n",
    "\n",
    "        c = self.convolve(width, angle, beam=beam)\n",
    "        ax.plot(*c, label=\"Convolution\")\n",
    "        idx = numpy.argmax(c[1])\n",
    "        maxi = self.measure_displacement(width, angle, beam=beam)\n",
    "        ax.annotate(f\"$\\delta r$={maxi:.3f}\", (maxi, c[1][idx]),\n",
    "                   xycoords='data',\n",
    "                   xytext=(0.8, 0.5), textcoords='axes fraction',\n",
    "                   arrowprops=dict(facecolor='black', shrink=0.05),\n",
    "                   horizontalalignment='right', verticalalignment='top',)\n",
    "        ax.set_title(f\"Profile {beam}, width: {width}mm, angle: {angle}°\")\n",
    "        ax.legend()\n",
    "        return ax\n",
    "    \n",
    "    def measure_displacement(self, width, angle, beam=\"gaussian\", over=None):\n",
    "        \"\"\"Measures the displacement of the peak due to parallax effect\"\"\"\n",
    "        over = over or self.OVER\n",
    "        x,y = self.convolve(width, angle, beam=beam, over=over)\n",
    "        ymax = y.max()\n",
    "        idx_max = numpy.where(y==ymax)[0]\n",
    "        if len(idx_max)>1:\n",
    "            return x[idx_max].mean()\n",
    "        \n",
    "        idx = idx_max[0]\n",
    "        if idx>1 or idx<len(y)-1:\n",
    "            #Second order tailor expension\n",
    "            f_prime = 0.5*(y[idx+1]-y[idx-1])\n",
    "            f_sec = (y[idx+1]+y[idx-1]-2*y[idx])\n",
    "            if f_sec == 0:\n",
    "                print('f\" is null')\n",
    "                return x[idx]\n",
    "            delta = -f_prime/f_sec\n",
    "            if abs(delta)>1: \n",
    "                print(\"Too large displacement\")\n",
    "                return x[idx]\n",
    "            step = (x[-1]-x[0])/(len(x)-1)\n",
    "            return x[idx] + delta*step\n",
    "        return x[idx]\n",
    "            \n",
    "        \n",
    "# s = Decay(0.2, 0.8) #200µm, 80% efficiency\n",
    "s = Decay(0.45, 0.35) #450µm, 35% efficiency 450µ Si @ 20keV\n",
    "s.test()"
   ]
  },
  {
   "cell_type": "code",
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       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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AggggAACCCAQgQAJ9wgQ2QUCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAiTcaQMIIIAAAggggAACCCCAAAIIIIAAAggggAACCEQgQMI9AkR2gQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAACXfaAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACEQiQcI8AkV0ggAACCCCAAAIIIIAAAggggAACCCCAAAIIIEDCnTaAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEAEAiTcI0BkFwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIkHCnDSCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEIEACfcIENkFAggggAACCCCAAAIIIIAAAggggAACCCCAAAIk3GkDCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghEIEDCPQJEdoEAAggggAACCCCAAAIIIIAAAggggAACCCCAAAl32gACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAhEIkHCPAJFdIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAwp02gAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBABAIk3CNAZBcIIIAAAggggAACCCCAAAIIIIAAAggggAACCJBwpw0ggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBCBAAn3CBDZBQIIIIAAAggggAACCCCAAAIIIIAAAggggAACJNxpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIRCBAwj0CRHaBAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAJd9oAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIRCJBwjwCRXSCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQMKdNoAAAggggAACCCCAAAIIIIAAAggggAACCCCAQAQCJNwjQGQXCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiQcKcNIIAAAggggAACCCCAAAIIIIAAAggggAACCCAQgQAJ9wgQ2QUCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAiTcaQMIIIAAAggggAACCCCAAAIIIIAAAggggAACCEQgQMI9AkR2gQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAACXfaAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACEQiQcI8AkV0ggAACCCCAAAIIIIAAAggggAACCCCAAAIIIEDCnTaAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEAEAiTcI0BkFwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIkHCnDSCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEIEACfcIENkFAggggAACCCCAAAIIIIAAAggggAACCCCAAAIk3GkDCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghEIEDCPQJEdoEAAggggAACCCCAAAIIIIAAAggggAACCCCAAAl32gACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAhEIkHCPAJFdIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAwp02gAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBABAIk3CNAZBcIIIAAAggggAACCCCAAAIIIIAAAggggAACCJBwpw0ggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBCBAAn3CBDZBQIIIIAAAggggAACCCCAAAIIIIAAAggggAACJNxpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIRCBAwj0CRHaBAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAJd9oAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIRCJBwjwCRXSCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQMKdNoAAAggggAACCCCAAAIIIIAAAggggAACCCCAQAQCJNwjQGQXCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiQcKcNIFBLgTlz5thpp51mDzzwgP3++++2/fbb25NPPmn16tWzs88+28455xx3hDvvvNP2228/++mnn6xr1661PGp5fHzfffe1119/3X7++efEXpDOvVu3bvaf//zHdD35Spjr1baPPvqoTZkyJbE2nHjNAuXwuzBv3jzTPw0bNqz5gtmiYAFiTcF07reZWJPdj1hTeLtK0ifVFz333HNt/vz5STrtauc6e/Zsa9CggdWvXz+x11DqJ06cKbyGiDO57YgzhberJH2SMU2SaotzLZYACfdiSXOcogr4H3x/0CZNmtgyyyxjW265pZ155pm2xBJLRHY+t956qx188MF2zDHH2BprrOGOs/HGG5NwDyBc6Z3TadOm2WWXXWabbLKJ+ye91GXn9Omnn3Y3gr755hvr2LGjuxGk70WQhOmFF15o77//vvtn7Nix1W4qBahyNskQKHbn9JVXXrGLLrrIPv74Y5ck79mzp5100km2++67VzuzoG1E7fe8885z+zryyCPt0ksvrag6JtYko7qJNcmLNekt67777rO9997bWrRowU3oAr9yxU64P/TQQ3bNNdfYF198YY0aNbKVVlrJLrjgAtt0002rXcGQIUPsiiuucJNRll56aTvqqKNcLEkvuklw7LHH2i233GLqz59//vluu0opxJlk1DRxpvhxRr8zzzzzjBuTjBgxwo2/dXM9TAnyGxRmf5W8LWOaSq59rj2XAAl32kZZCvgffCWCNPt4xowZ9r///c/uueceW3bZZe2rr76y5s2bR3Lte+yxh9v3yJEjq+1Px1QC0ycxix2EIrm4Ot6JZispUacBVFKLBoIzZ850A0rNvMpXMjvjf/75p3Xo0CFr0rquEu4vvPCCbbPNNi7Bv+eee9qXX35pN954ox100EF2880311gNenKjU6dOtuqqq9pLL71Ewr1GsfwbFPN3QU9hHHDAAbbFFlu4J3HUXr///ntbcskl7YQTTqg60aBt5O2337Ztt93WJdn1e6onfZQ42W233WqpkpyPE2uSUVfEmuTFGt+y9JTXCiusYJMmTXJ/xFNfhX3niplw17HU/95ll11ss802M33/1O9ef/317V//+lfVBfz73/+2Qw45xHbeeWcbMGCAvfXWW66ffskll9jJJ59ctZ1uuJx66qnuZrEmKpxyyimmOLXOOusUhpGwTxFnklFhxJnixxmNZTSBZK211rLPPvvMVllllVAJ96C/QclogfGfJWOa+OuAMyg9ARLupVcnnFEEAv4H/8MPP7S+fftW7fH444+3q666yu6//36XbMxWpk6d6mZRBS2araOZvhpM5CvFDEJBz53tiitQCgn33r17u5sDH330UdXNoDPOOMMNZDXjfcUVV8yLoiV0tCRSvpsFxVVN9tGK9bugetMMwwMPPNCuvfbavGhB24iS61pG6+qrr3b70341w+j6669PdqWEOHtiTQgsNi2aQDnEGo+l5KqW6VNfTv8m4V5YMypWwv29996z9dZbz6688ko3Kz1XmT59upvR3q9fP3v22WerNtOTDKrn3377zRZbbDH350cccYT16NHDjj76aPff2u9SSy1l6tNXQiHOVEItJ+8aSyHO6HdCk0a0zFSfPn2sffv2gRPuYX6Dklc78ZwxY5p43DlqaQuQcC/t+uHsChTI1Tl97rnn3IxMLYuh2Zh+FvHnn3/uHmHV7BrNxlFnX4n3s846yx5++GGXUFeSUckqdfA1y9ev3Z15iq+99pqbPRx0DXfN0lGy85NPPnEdho022sgtM6KkV01Fj+rqvD/44ANr166dmymkjsf+++9fba34p556yrT0zaeffmp//fWXG6jo2mWQPitb16hzl1968cudpD+mp6SaHu/VY8Caob788svbcccdZ3vttZf76OTJk90yJbIcPXq0tWnTxs2K1mxYLb2jku3xSyXxHn/8cTfzVjOZlCTUzCbNlEov8j388MNt8803NyWMhw8fbt27d3eDvIEDB9ZEt8jf69zvuusul0jWvlVke8MNN7hEon98ecyYMW6G90033WSHHnpoVTvIXMNd163zUgJS56VHoFUPfh3hXO3Hr/vv26YcdJ1aCqRZs2a2zz77OMP0epOvZv+pDpRMz1WUUFe70oz2ww47rGqzUaNGuXajc9Q5Byk1JdzVZrSNbm7JUTe/unTp4mauqS7feOMNt5SJ2rCWYdI5qS598ckBXb9myumR0caNG7s2rv/WEyUahOv7ptnVJ554YsGDb52DbsS9+eabJou2bdva1ltvbZdffrn7XmWek9qaHo1XHesJh5122smdf/pTM+rIa4aerl9PQPTv3989QaDvXpB3OwT5XdBsqh9++MF9tzp37py32pS0UmJcv2XaXkkr3Vj0bd1/OEwb0fdU7pp9qLap30clSyrxUf/Mm7vEGmJNri8ksSZ4rNFvrZIoTzzxhOuLZXuvifot2kZP6eifr7/+2sVc9VEUh/Q7pd9c7Uvx7/bbb7fVV1+9qnp8rNVvn+KiYrR+I9U/UuzVU2BK9GrJAiVzLr744qp+TpBYmb6N+pjXXXed25f6ElrSTfFQfUD9hvoSJv6rT6clDdW/UB/yH//4h+uLrbbaatXeLZMr4X7vvfe62KDr1zlo6UXFPiXDfVFf7Ndff3XXr3/yFT31qViqGK34or50y5YtF/nI888/756202+l4q0v7777rkvYa6a74omK4vODDz5ot912mym2/vOf/3TnrCe1KqEwpmFME7adV0KcyTQJm3AP8xvEmIYxTdjvINsj4AVIuNMWylIgV+dUAx0NnJQo1rrrGtSoE68k2AYbbGDrrruuS5qpk6/kn5J5WoJBAxctn6GknwY26uhrEKFBoJL3Sl5pEKai5Rq0RnyQhLsGFEqg6lFaDTw0qFFSbuLEiS45nu/lqppZqkfndBwluJQ800BSyW/dQEh/OeuOO+7okpV65E4Dn1dffdUeeeQRNzjVwMqXoAl3DXq0BIkGirpeLZ+jpKXOwc+e1YBIg2MlRZU016BQS+9orWj9nUq2hLsGeRpE6TOzZs1y9aMbCpoBJaOqH6/UdSuBrwSiBsmtWrVyA9k//vjDDQzTE6VBGrnqUolTDa7VaVNRveu/9efyUtE17brrru6JBg3es7009b///a9ttdVW7hp080PXrsS92pnaij6j9qP6V9Je9aNjqKhO9Y9stDahkuh6bFp1p6T7Y489VpXs99elbXWzoKYX8vp1cDXYX3vttauxyF1/pv0HKUES7kpw6MaABuBKqqttK4Gu89D3SMlzJbfVBuWimSqqRxWfHFAd9OrVyzbccEM3MNc/GnzrMVA9XbLyyiu7/Wl5EyXxdcMqbNFNGiUr1JZ1M0UJG92g0r41W88npf05KVmjpar0G6EbZfre6eZB+vrlaudKEOnxec3g07np2vXdrCnhHvR3wbc9/YZk3iTLNNDsUCXolXhXkly/H5o9qISSXqTnX0IXpo1oOSgtBaAbDyq6qaABTNOmTcNWQWK3J9YQa4g1i359w/yO5PvyK+bPnTvXXnzxxaoJEpkz3NVv0W/O33//7fp1Spbrxr1uQquvp8S5v8GsfpqWcdNvsf/N87F2ueWWc/HDx5R33nnHJaxPP/1012dRDNP+vvvuO5e8VwwIW9RX001S9TfVbtS30W+I+gC+j6F9Bo3/+g3WvrQf9SX0hJpimfpFijXpEwGyJdzVf9XECC0DprWPx40b525UqJ+oPqjis4puQuj3PT125bp2+Sphru11Y1r9H8VVOao/6IuOrRv8/saD/3P1+5T4Vx9BsVlFfWPFWyXjVTSxQzcKMm8Yh62PpGxPnCHOEGdq/raGTbiH+Q1Swp0xDWOamlshWyCwqAAJd1pFWQr4zqkSlErKKiGshJySS+q4K2hqRq9PVCoJ5RPmAtGAZYcddnCDBQ0SfFGiVQlJfV6JUBV/1ztzSZmaEu4aNCrJqX0queeLBh9ar1QDoPQyaTdgAAAgAElEQVQ/z6woDdyUxFXCT0lJlfHjx7vHbvXv9OSrZgSlz57Stkp2KrGnbf0a6kET7rLRzO18y+hooKYbFzrHXCVbwj3zXJUk1Ix4zQQbOnRo1a7kq5sImpXl60JJf9W3BozpA7sgjVwDTR3Dz1zXYH3xxRd3CUXN1lIiX0U3bDTQ8zPhsyXclZBVPX777bdu8K/y8ssvu5ljeoeAPqNS0xruSqJrNrcGxL7IQokCLQnjS9CEu5IQSrbqhkT67DXtR8l2Jcf9gLYmsyAJdyWZ05dvUpJDCQGdv5IZfv1V3aDQTadsyQHd2FFyXUWJF7VRJYv1ffVrvOoGlWbP6ztTU+I523Vl+37oRo+WnVLdK9mv4hMWuomilyz5opsl2k4mKvpOrrnmmlU35/x2ejmtzi9fwj3M70KYhLvaoepXv3+6OaDviWZ+qn7Sf/8KaSNq5/qeKlFVKQkQX6fEGmINsWbRX9VCfkcy96Kbq+prKHGsm9d+1ne2hPsvv/ziYoomTaj4mKJ+jxLkSpar+Jfc+ycR9Wc+fmqWuZ6mU/ExRX3HBx54oOql0j6GBUk8B401eupLNwX0e+7P059TTfFfv+Hqo+jlpH65FSXhdfNYEyvyJdxlpr6TjqHj+6J+nfowuhHr/zxown3ChAmu36TkoJ7skpOuSeehmyZ+souOpe+N/nvOnDmLUKkvpqdNZe+LrksTIHRzRX3kSirEGeIMcabmb3zYhHuY3yCN9RnTLJhwyJim5rbIFgikC5Bwpz2UpYDvnGZenJKdSt4puZc+0NLAww909OeaJaWEmgYPfsat/lyzXTWgS0/oFppw9zOqNShSoiq9aDbVjz/+6BL7uUrPnj3dTC3dSEgvSsTr/HLNdtZSLxoIaca+EuJ6yYySbypBE+4aDGpWq5LImnmdrWhfOj/dvFAyNFvJlnBP307+SrJqaR8NvPTfviixp8eQNShPL0os6qkEzYIOWzSTWjcvdCzN1NVgX75KRg8bNszdzFDCW8lqXZdKZsJdy7voejNv4mhbzYjXzPYwCXfNVJOjLxpU+xslYa9PS8bIMnNGmfajmX2aIaj2EKQESbjrRUbaZ3oSVrOqdbMr/WaNbm7oBo1uLGjwr+KT25q5l97GNBNQbU83SNIfbVeCQN9VJb5rU5RgUUJH/2gGY3oiI9c5qQOqx3d1Ha1bt3bLA+hGnW8z/nx8Ij5fwr22vwu5rl3JdiUsMl9GpycxNIhQm5BflG2kNvWQlM8Sa4g1xJpFv621/R3RLGclT9RX8++EyJdw19N1ejLJFx9TNEM+fX1wJe8V49W/041TFZ/czoy1iimaWJAthm233XZ299131+pnSn0B3ezVpAHNLldc03Iw+c4pM/7rhrR+g3SDIH1JM5+Iz5dwV9zSEomKU34mu78g9QcUp9XHC1P0lJrvS+umtZ70UlHsUT9XltpGRf009bV0EzizaB/qa/mnp8KcQzluS5whzhBnav5mh024h/kN8i9nZUzTo6oiGNPU3CbZAgEJkHCnHZSlgO+cal1lJaYbNmzolnnRrBj/GLEf1OjRZyWg0/9ca4BrEKSZwOnFD+LSl2IpNOGuddr9DN1slaDEnY6Xq2hWupbq0Czo9OKXzUlPuGsgqkd3ldxXZyG9pC/DETThrhmtmkGlmcZaK1Uzt/WI7/rrr1+1ay2noaUuNHDWbF8lxwcNGmR6bNuXbAl3DY71ZIESv6oXX5S01aAt/b81S1/LlKQXXYMeZdZAM2zR4FWJdq09qpluslHCXYldLXuiJXSUMNbSIWoDKpkJd39TJn1A789DM6HVQQmacNeSMhqQp5favPgsilmH/lyCJNz9LP/M+tGNDa1Rnl5Uv5pt4pMr/jr1ZIG+u+ltJpuLvod6dF0z4MIWPeWh2XxKECjpkl7057pJoZLrnPzvjepVN/V0w07LzKj96rfHF333dEMoX8K9tr8Lua5dSwQowZN5c1FJI31P/e9AlG0kbD0kcXtizdHVbu4Sa4K1YmJN/qepFGP1jxLemjGtki/hniumZPYRfLzW75x/4aZfviUz1iqm5IphSh5ricGwRX1KxZOnn3662gQC7Ud9OfWR/LUGif+6IaEZ/PpdTy/+ab98CXcts5PZf0rfh5a20w2KMMX3C/QuGXmmv2tGN9MV+3wMCjO7NMw5lOO2xBniDGOamr/ZYRPuYX6D8sUDxjRnu/GRSuZLUxnT1Nxu2aL8BUi4l38dV+QV5lrvMBMj1wCuGAl3zTRVUlezlbW+ZWZRos6/rDRbJQZNuGvmk5LiSuBrdpQeIdYjuUr8KuGf/mi1ZvRqplXmshxaUkMDp/SXpip5p+S4HhNW8lQDUw0klaD0RbO9NWNXj3drppQS5pp5pVm1flDpXyKq/9YLxXR8za7SwFMvgtTATR1NLX2hF1T64l+amrlkTa6bBkG+CD75qDVWdXzdQNCgX7PONOjXbC2du5LqfjmUuky4Z3tBXG0S7lGtqyvLIAl3bZO57JB/wV36rEPtL7M+/XVmzmTP9Z3NdeMrSL1rbVgtR6DldjT7UclptVX9DqQnx3OdU2YHszYJ99r+LuS6Xt141BMzmsHvl5DStvr+qk372ZVRtpEg9knfhlizMBFCrAnemok1ud8XookGet+JEsJal9wX3eRWX0M3dTSbW8uOqASNKdrWx2vdQPc3zcPGlFzHq6n29bSelsbRDV4dW8uraWa+Ji7oHNKT47nOKTP+1ybhrpsRWmJHpumJcX8dioN6/0iYoripa9KMefX/0ouWj1F9+qcqw6yfHOYcynFb4gxxppDlEss9zmR+18Mm3MP8BuUaYwSNP4xpCst1MKYpx4hWeddEwr3y6rwirri2ndNcS8roZZMagESxpIxekKU1p7W0i2aIhy1Bl5RRIk3LcGS+UNK/+DQ94a5HePUob+ZjvPozzUxPT7inn69msWv2tpJ3Wooj20sTNXNY+1fnRC9PVcmc4a6XZGkAqKVj0pOCWmKnGAl3PRWg69TAUEvzaL3+bbfd1r24SzPBlHDXS2GVWPIzl2uzpIxmZGv2fLb1YIMOuMO0GyUq1CHVkx/+JXL6/KhRo9zj45nrxebbd7kk3P2as+kz2XXdSk7rO1ZIwr02S8rU9nchV51pPXrN4NfNpPSnTO644w73aL+e5NCL7qJsI2HaZlK3JdYsfNSfWBO8FRNrqr+bJF3Ox9R8mroJ7vspQRMe2l+cCXclmrVMTfpMdp2Tf79LIQn32iwpo5sOep+H1qVXrIuqaNnFDz/80C0Vo/fs+KIJGVpqSDcYtOyelgNU/0r/1hOQvujmtyY7KFmol45TFs4alategJ6r5Oo3MqZZ8GJ3XxjTlMeYJvN7EDbhHuY3KCkJd8Y0jGmImaUnQMK99OqEM4pAoLZJEP/S1PSXaOm0tISLlkqJ4qWpWl5Ca4FrAKYBl2ZypxfN7E1fuzuT5cgjj3SJ05pemqrHnrfffnuXLNfscRUlyDVDWwPA9IS7XuCqWeZ67NkPlDQTWeuV6rM+4a5EsV6KlV40cFNi2q8lqsS7f2Go305roWuWugYNKpkJdz3irWS3rt2vR6oBstY+1+Ctrme465w0s04zu7Suqa5TS8hoHXF5aVCqOtPLeH2pzUtT9ci1rlNPHmit8PQSJuGumWSaFainFzLbUWa70aOPupmh9dX9rDatna6ZHkq26u9VtD/tV08ZZNaj/r5cEu5+mRfNPlFy3Re9YFkv0C0k4S5bDYp1AynsC4bC/C7oRaVKoKt+VE/5ik+G6iV4qmsVzUbU91rLZ+mmi7/JFbSN5D1ghfwlsWbhy+yINeEaPbEme6xRrNdTcZlFy+Xppd5a91u/d/4ps6Qk3LXcmZZp0W+GlvFSUZ9G/SslfgpJuGtSgJa6K+SlqYodWmZREwn0Ivj0d63ovDQT3/fzVCfqF2qCQPq7U7K1eJ3Lscce6yZPHHjggW4TPVmlfpwmY/i19tX/0XdAN3rTl+dRkl1PQmqtd7+cULhvVvltTZwhzhQyw13fhHKPM+nf9nwJ92y/YWF+g5KScGdMw5im/CJg8q+IhHvy65AryCJQ286pElFaZkIJZg0Y9FJRDQCViM9MohW6hrtOW7O2NbjQY8ZK5ivBrkGNBl+a4ZO5XEr6pWowosGbZlor+a7HeLVutAY0SqT79aSVNNbLPrWkjGZta1ClZWx0jVqfMz3hrtn2WkZDa6Br9r0GZBqIad/qtPmEu9Zk1zI4Oketr6013XWumqmvtUmVdNf2GgjKTglsJal1s0JJeb1gUiUz4a415jfbbDPTEjZaE16z4nVTQcfSmqSFJtx1zek3DPJ9afxMYK3RqmOqzJkzxz0irWV0MhOz2RLumumvl7WpXvViNg1c9VSETHQjwq/hrn1rEKq/V9Jbg0t1GPVPmIS7f+lbrhflpl+vbqDoBozqWG1OS76o7jTLWQNkX/x3KD0JoL9T29EarOq8XnzxxW4/m266qfuY2rLWMFcphc6pzkFPdqS3m2x1r7bx0UcfuSSBZvrruy5LfT8KSbjrGGr7SobIRE/F6Dx0E0ffzfQ2lLkcTZjfBd/2lLypaTAmA713Qd8x/5vmX3ysF0lrpqQvQdsIwaf2Mw+JNcQaYs2dtt9++1VLOGf7bcm3hrtiZk3LlGmfdTXDXUl/v/9cv4u6QaqbmbqZrVijPplihGYkKtYUknDXMjVKWOsmr5Zr0TI16oOp76RYk57cz7YcnV/CTPvQS+L14mzFPi0FqJjgl91R30+xPtvTeJnXqySWXnSueKfJBJpNrH6DJocose6XFNTndFNbN7cVL7U8jiZ8aGa7bgrr5jBlgQBjGsY06X08xjQLfxnefPNN0z8qGmdpEpPGMypanlT/qOT6DQv6G8SYhjEN8QiBQgVIuBcqx+dKWqC2nVNdnBKjegRWL67SjGsNqDQA0Szs9JlAtUm4+06ABj1aF1wvWVTCTwlnvcxFie18RQMqJdE1A1vJeg1clBzXn6W/bFKP6Oq8NajTjO29997bJbY1wElPuOtYV111lftHM5g1S1dLqPiXi/mEuxKzWutZM5XkpESylpTRi1k1iNQMev1/JS5//PFHl9zXOvJ6rDV9TdZsL03VEhfy0I0HrSmvdeY1SNaSH4Uk3HV+GkQquayZcTUV3/nSeer/+6JkpW4aDB06tCrBrL/LlnDXn2uGlgx0/Zp5rhfB6oZN+pr12k4z9nTDRLPf5OYHtHWVcNcxlWiVp26UqN3oWGrr6bPjcyXcfRI7m2N6WyqFzqnarx5fz1xLNvPctY3qQOevNqYbR2r3euy90IS7bkjoqQ+1OdWrbuDpfQCaUaj27V+YnC3hHvR3IUzC3f+mqU3qN003eXQuOg8t2ZRZgrSRmr5LlfD3xBpijU+EEGsW/cYH+R3JFWsy91bKCXfFUfVxFM/zFcVc9c/U39PkCC33p76eJiYUknDXsdRXU2Jbyez69eu7feqmqiZEaBkxzWBXyfX+F/VV9CTWp59+6rbTU3zqH+o8/VIzYRLu2ocS/op/OidNVNC7UdTnUJ8zs2h5Q03EUKJfx5aHrie9n10JsSTfNRJniDPEmezfEP+7lu1v0/vv+X7DgvwGMaZhTFPpcYjrL1yAhHvhdnwSgZIU0Ax8zVjV4D/bi7BK8qTr8KSef/55t06objZoJiGlMgQmT57snhjQ4+26EVUKxa/hq6dGsiW5S+EcOQcEggoQa6pLEWuCtpzy2k5LculJNc2w15NtpVD8EmJ6X44S7xQEkipAnCHOJLXtRnnejGmi1GRfCBRXgIR7cb05GgKRCujR3WbNmlXtU8vHaEaSXk6qdeEpZieeeKKb5azleyiVI6BlmZRo12Pt6S9uK5ZA5ndTx9UMTT1ar5npmslHQSApAsSammuKWFOzUTluoWXv9MSfniSMo2R+N7XMjJ7S0jJpetIxvY8Yx/lxTASCChBnapYiztRsVI5bMKYpx1rlmipFgIR7pdQ011mWAnpMV4+5aV3QMWPG2JAhQ9zLD7XsiV+3riwvnItCoMQF9Pi81tXVurd6z8ILL7zg/tGyVHoChYJAkgSINUmqLc61kgQGDx5sSlSuu+66bllCLRGj5P9FF11kp556aiVRcK0JFyDOJLwCOf2yFWBMU7ZVy4UVQYCEexGQOQQCdSWgl0o9+uijNnLkSLfepWa2a806rRdNQQCB+AT0hIk6qFpuQMs76cVxeoHq6aef7hLwFASSJECsSVJtca6VJKCn97QG+ogRI2zGjBluLXm9g0ZroVMQSJIAcSZJtcW5VpIAY5pKqm2uNWoBEu5Ri7I/BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgYoUIOFekdXORSOAAAIIIIAAAggggAACCCCAAAIIIIAAAghELUDCPWpR9ocAAggggAACCCCAAAIIIIAAAggggAACCCBQkQIk3Cuy2ivzoufNm+deKNqqVSu33jkFAQQQQKBwgfnz59vkyZOtS5cuVr9+/cJ3VEafJM6UUWVyKQggUBICxJrq1UCcKYlmyUkggEAZCRBnyqgyS+xSSLiXWIVwOnUnoBeLLr300nV3APaMAAIIVKDAb7/9ZksttVQFXvmil0ycoRkggAACdSNArFngSpypm/bFXhFAAAHiDG0gagES7lGLsr+SFZg0aZK1bdvW9EPaunXrkj1PTgwBBBBIgsDff//tbmJOnDjR2rRpk4RTrvNzJM7UOTEHQACBChMg1lSvcOJMhX0BuFwEEKhzAeJMnRNX7AFIuFds1VfeheuHVEkhdVRJuFde/XPFCCAQrQC/qYt6YhJtG2NvCCCAAL+r1dsAHnwnEEAAgWgF+F2N1pO9LRQg4U5rqBgBfkgrpqq5UAQQKIIAv6kk3IvQzDgEAghUuACxhoR7hX8FuHwEEKhjAeJMHQNX8O5JuFdw5VfapfNDWmk1zvUigEBdCvCbSsK9LtsX+0YAAQQkQKwh4c43AQEEEKhLAeJMXepW9r5JuFd2/VfU1fNDWlHVzcUigEAdC/CbSsK9jpsYu0cAAQRIuGe0AWIvXwoEEEAgWgF+V6P1ZG8LBUi40xoqRoAf0uRV9bx582zWrFnJO3HOGIEyEWjcuLHVr18/69Xwm0rCvUyauc2dO9dmz55dLpfDdSCQKIFGjRpZgwYNcp4zsaY6DR6Jat5VJ0ucSWa9cdblIUCcKY96TOJVkHBPYq1xzgUJ0EEtiC22DynR/tNPP5mS7hQEEIhHQMn2bt26mRLvmYXfVBLu8bTK6I46f/58++OPP2zixInR7ZQ9IYBAaIG2bdtap06drF69esSaGvSIvaGbV6wfIM7Eys/BEagSIM7QGOIQIOEehzrHjEWADmos7AUdVJ3TX3/91c047NKlS84ZtgXtnA8hgEAgAd3sGjVqlGlWyDLLLLNIIoTfVBLugRpSCW80evRol2zv2LGjNW/ePGuyr4RPn1NDIPEC6u9NmzbNxo4da0qGdO7cmYQ7CffEt+v0CyDOlFV1cjEJFCDOJLDSyuiUSbiXUWVyKfkFSA4lp4Uo0T5ixAiXbG/Tpk1yTpwzRaDMBCZNmuSS7t27d3eJ9/TCbyoJ9yQ3dz3eP2zYMJdsb9euXZIvhXNHIPECf/31l0u69+zZc5HlZYg11asXj+Q0d+JMcuqKMy1/AeJM+ddxKV4hCfdSrBXOqU4E6KDWCWud7HTGjBluOZmuXbtas2bN6uQY7BQBBGoWmD59uv38889uWZmmTZuScK+BjDhTc5sqlS2IM6VSE5wHAmbEmuCtgDgT3CruLYkzcdcAx0dgoQBxhtYQhwAJ9zjUOWYsAnRQY2Ev6KC+g5otyVfQDvkQAggUJJDvu8hv6qKkmBTUzGL5EHEmFnYOikBWAWJN8IZBnAluFfeWxJm4a4DjI7BQgDhDa4hDgIR7HOocMxYBOqixsBd00HLtoL7++uvWv39/mzBhglurNAll3333dWscP/nkk0k4Xc4xYgE6p+FAiTPhvOLculzjjEyJNXG2LI5diACxJrgacSa4VdxbEmfiroHqx2dMU1r1UeyzIc4UW5zjSYCEO+2gYgTooCanqpPeQX333Xdtgw02sIEDB9pzzz1XBV/KSRC/bMinn35qq622WtU5aw1vvWwmKTcIktPKk3GmdE7D1RNxJpxXnFsnPc7IjlgTZwvi2FEKEGuCaxJnglvFvSVxJp4aYEwTj3upH5U4U+o1VJ7nR8K9POuVq8oiQAc1Oc0i6R3UwYMHW8uWLW3IkCH2/fffu5e/qgRJuE+bOcdGT5phSy3WzJo0alDrSps1a5Y1bty4xv3k6pzW+EE2KGsBOqfhqpc4E84rzq2THmdkV2ismTl7rv05ZaY1btjAOrRqEkk1EGsiYazYnRBrglc9cSa4VdxbVnKcmTtvno2bPNNmzplnyyze3OrVq1fr6iDO1JqwondAnKno6o/t4km4x0bPgYstQAe12OKFHy/JHdQpU6ZY586d7aOPPrKzzz7bVlllFTvttNOqJdyfffZZO/XUU23YsGFuNvntt99uffr0cdv879Nv7fSTjrXPPnzf5sye5V4ce/nll9vWW2/t/v6NN96wE0880T7//HNbfPHFbZ999rELLrjAGjZs6P5+k002cfvSf99777228sor22uvveY6ujfddJM9/fTTLvGvc7zssstsl112cZ/L7AhvvPHGbrvMxy9nzpzpjv/ggw+avlN9+/a1q6++2tZaa61q1/jKK6/YySefbN988427xv/85z+2wgorFN4o+GQsAnROw7ETZ8J5xbl1kuOM3GoTayZMnWXvf/mdXXrmyfbZR++ZkhjEmjhbI8cm1gRvA8SZ4FZxb1nJcWZe6unYl9//yi4680T74qP3iTNxN0aOb8QZGkEcAiTc41DnmLEI0EGNhb2ggya5g3rHHXfYzTffbB9++KEpsX7MMcfY8OHDXULbz3Dv1auXXXvttdapUyeXjP/qq69c8r1Ro0a29Tbb2MTJ0+34M8+37ku2t99+HG6tW7e2jTbayH7//Xfr2bOnS4IfeeSR9t1339mBBx5ohx9+uJ1zzjlVCfePP/7YDj30UDvggAPcnynRreO3a9fOLrnkEreve+65xy6++GL78ssvTeej81177bVNifLevXu7WfFK6Gcm3I8++mh79NFH3U2CZZdd1iXtlcQfMWKE295f4zrrrGOXXnqpdejQwQ455BCbO3euvf322wW1Bz4UnwCd03D2xJlwXnFuneQ4I7faxJoGqRuym265lc2cOcuuuPwK69yhrbs5SqyJs0VW9rGJNcHrnzgT3CruLSs5zmhM03+LgTYjFWeuuvIKW6IdcSbu9ljpxyfOVHoLiOf6SbjH485RYxCggxoDeoGHzAyIWkN8euoR+DhKs9SyLmEeg1x//fVtt912MyWm58yZ42aSP/LII27muU9Ga3b47rvv7i5n/PjxttRSS9mdd97pPqcZ8Vtus70NOvwEa5J63L/HEi2t/v8/hnn66afbY489Zt9++23VOWnWumaSa631+vXru+OorX/yySfVuHQNSnzrZoAv/fr1szXWWMPNfM+1pEx6wn3q1Km22GKLuXPda6+93G5mz57tZkbqxoJmvvtrVOJ+s802c9s8//zztk3qRsL06dOtadOmcVQjxyxQgM5pODjiTDivOLfO1rbjijVh44zcahtrVuqzsm0yYFs79qTTrHvHltXiHLEmzpZZmccm1gSvd+JMcKu4tyylOCOLsLGmtnGmV+8+1n/gdqlJQWdbx1bV+//EmbhbZ+UdnzhTeXVeCldMwr0UaoFzKIoAHdSiMEdykMyAOG3WHFvprJci2XfYnXxz3gBr3njBci01Fa3XruVcNBO9Y8eObvMjjjjCJcM1o9wno3/55RdbZpllqna3+uqr2w477OCWoNHMcc1O77PamrbOBhvb7rvtYv3XXbBcy0477WRt2rRxy7P4oqVltGSL36cS7j169LDbbrut2ukq4X7XXXfZoEGDqv782GNTS9d89plbciZIwv2LL76wVVdd1W2r2e2+7Ljjji4RrxmX/hrHjh3rZrer6EWsSuxnXndNnvx9/AJ0TsPVAXEmnFecW2dr23HFmjBxRmZRxJp/33qrHZF6OqrPamvYwC23sD13X3DDl1gTZ6us3GMTa4LXPXEmuFXcW5ZSnJFFmFgTRZy56oab7eRjj7JV1+hr2wzc0nbeeWfiTNyNsoKPT5yp4MqP8dJJuMeIz6GLK0AHtbjetTlaUhPuJ510kltvvUGDhS871YzJJk2a2OjRo13iuX///oskntMT7nL77bff7OHHn7LnX3zJ3hz6kl1+2RWpGeRHBU64KwF/zTXXVKuCYifcJ0yYYG3btnXnoKS+rvGnn35ys+EpyRGgcxqurogz4bzi3LqUEiFhkiAyiyrWfPjlcHvq2Wfsw7dft9f++6JdeeWVbrmyoDd3iTVxtuDyOjaxJnh9EmeCW8W9ZSnFmbAJ9yjizN/TZ9t7X35v7772in3+/ptuqU3iTNytsnKPT5yp3LqP88pJuMepz7GLKkAHtajctTpYEpeU0fIxWhpGHdQtt9yy2vVr9voJJ5xgK664oku4P/TQQ275GBUlpvU5zVr3f6Y/V6L+h3FT7eLzzrR3XnvZvv36K8v1+OUpp5xiEydOrFpSJlcSRDPntXyML+uuu65LhOvPRo0aZUsuuaR72euaa65ZtU3mkjJap13nmr6kTLdu3dySMrpGP8OdhHutvgIl82E6p+GqgjgTzivOrUvpUf8wj/lHGWtmppZq+37MZFcN91x3sb304gumJ5mINXG2zMo8NrEmeL0TZ4Jbxb1lKcUZWQSNNVHFmVlz5tl3f/xt9VL/671kazs99d6q5557jjgTd8Os0OMTZyq04mO+bBLuMVcAhy+eAB3U4lnX9khJfMnQk08+6dZl11IqWvYlvWiN9a/KERkAACAASURBVFdffdXNflfCXS8l1UtTl1hiCZfY0AxwvVhVLypV4nqrrbZyL0cdNXZcanmZw63zkkvbY48+bJP+HOP+fL/99nNL1ehxz8GDBy/y0tRcCff27du7F5lusMEGdt9999kFF1zgXpq60korufXm9cI8nY/2qbXWdR2ZL03V+WlN+iFDhrhlcfxLU3/44Qe3rAwJ99q2/tL6PJ3TcPVBnAnnFefWSYwz8oo61rTosJT9PuZPu/TME63H8t3cDWH/gm5iTZwttLKOTawJXt/EmeBWcW9Z6XFG77Pqvc7GtlTX5a1tg5l23NFHuSUpiTNxt8zKPD5xpjLrPe6rJuEedw1w/KIJ0EEtGnWtD5TEDup2221n8+bNczM3MssHH3xg66yzjkuyq/P5zDPPmGalK8mu5LjWW/dr5+px/hdeeMFGjhzpEuAbbbq5HXX6BdapYwfrkXqx3ZtvvuleTqq12zXbfJ999nGJ84YNF6wzrzXccyXcb7zxRpes0T70Mlcl39Nn1Wv9+PPOO88lWzbccEOXPM9MuKtuNIv/gQcesMmTJ1vfvn3t6quvtrXWWrDOPAn3Wjf/ktoBndNw1UGcCecV59ZJjDPyqotY07xlK1t/k83stpuud7FG5Y033iDWxNlAK+zYxJrgFU6cCW4V95bEmSPt6Weftz9G/26tW7VOTSga6MYM7dq1I87E3Tgr8PjEmQqs9BK4ZBLuJVAJnEJxBOigFsc5iqMktYMaxbVn7mPO3Hnukf+58+ZblzbNrH2rJgUdRmu4P/HEE+7lrBQEggrQOQ0qtWA74kw4rzi3Js4s1B8xdorphbEdWzW1Tm2a1qpaiDW14qvYDxNrglc9cSa4VdxbEmfMRk2cbn9OmWntWzaxLm2bRVIlxJlIGCtuJ8SZiqvykrhgEu4lUQ2cRDEE6KAWQzmaY9BBre74V6qj+nuqw9oglTTv2amVNWpQPzQ0ndPQZHwgJUDnNFwzIM6E84pza+LMQv1J02fZL39Nswb169mKnVq7fxdaiDWFylX254g1weufOBPcKu4tiTNm46fOtJETplvLJg1tuQ4tI6kS4kwkjBW3E+JMxVV5SVwwCfeSqAZOohgCdFCLoRzNMeigVndc8AJVzUCca4s1b2xLL948NDSd09BkfICEe+g2QJwJTRbbB4gzC+kVY4alnqSamXrBnWYgaiZioYVYU6hcZX+OREjw+ifOBLeKe0vijLmnp/QUVcPUjdxenVubYkRtC3GmtoKV+XniTGXWe9xXTcI97hrg+EUToINaNOpaH4gO6qKEvsOqv9EMEc0UoSBQ1wJ0TsMJE2fCecW5NXGmur5/kqpx6gmqFVJPUkWRFImzfjl2sgSINcHrizgT3CruLYkzlnq/1Xz7etQkm5+qjF6pJ6gaNQz/lG7c9cjxy0OAOFMe9Zi0qyDhnrQa43wLFqCDWjBd0T9IBzU7+e8TptlfU2dZ00YNrHvqBar1I5glUvTK5YCJEqBzGq66iDPhvOLcmjhTXV9Jke/+mGxzUi//Xib1FFXb1NNUFASKJUCsCS5NnAluFfeWxJkFNfB9KrbMnDPXurZrYa2bNYq7Wjh+hQoQZyq04mO+bBLuMVcAhy+eAB3U4lnX9kh0ULML6gWqw8ZMcQmRzqkX23VIveCOgkBdCtA5DadLnAnnFefWxJlF9cf8PcP0j27q9kjd1GWWe5wttLKOTawJXt/EmeBWcW9JnFlQA7+m3hEyMfWukE6tm1rH1D8UBOIQIM7Eoc4xSbjTBipGgA5qcqqaDmruuhqfmuE+MjXTXbPbey7RyhrzaGZyGnYCz5TOabhKI86E84pza+LMovq6qatZ7vNSa7p3a9/CWjVlJmKcbbSSjk2sCV7bxJngVnFvSZxZUANjJ8+wPybNsDap2e3Lpma5UxCIQ4A4E4c6xyThThuoGAE6qMmpajqouetKL7f7cdxUm5p6CREd1+S06aSeKZ3TcDVHnAnnFefWxJns+qMmTrc/p8y0Fqn3hCyfel8IBYFiCBBrgisTZ4Jbxb0lcWZBDUyeMdt++nOqNWnYwL0jhIJAHALEmTjUOSYJd9pAxQjQQU1OVdNBzV9XM2bPteGppWXmp/7HeojJaddJPFM6p+FqjTgTzivOrYkz2fVnzZnn1ttVfOmeSrg35wXdcTbTijk2sSZ4VRNnglvFvSVxZkENzE49PfXt6L/d/+/dpY01qF8v7qrh+BUoQJypwEovgUsm4V4ClcApFEeADmpxnKM4Ch3UmhVHT5pu4ybPtMYN6rulZerTea0ZjS1CC9A5DUdGnAnnFefWxJnc+r+Nn2YTps2y1qklZbqmlpahIFDXAsSa4MLEmeBWcW9JnFlYA0q4K/GuJ6f0BBUFgWILEGeKLc7xJEDCnXZQMQJ0UJNT1XRQ89fVJptsYquuuqodesr5NivVee3QqknqJarNklPBnGliBOichqsq4kw4rzi3Js7k1tdTVMPGTLYDdt3W1llrTbvhumvjrCqOXQECxJrglUycCW4V95bEmYU1oCVltLTMkm2bWbuWTar+QmOa1VZbza655pq4q4vjl7kAcabMK7hEL4+Ee4lWDKcVvQAd1OhN62qPdFBrTrirc3rexZfbz39NtXqp//VYoqU1bdSgrqok735//fVXO/TQQ+21116zli1b2j777GMXX3yxNWyYewbLhRdeaM8995x99tln1rhxY5s4cWIs585B8wvQOQ3XQogz4bzi3Jo4k1//l1Rs2WXbAbZK6ubukFtujLOqqo5dSKzxH545c6ats8469vnnn9unn37qEjyU0hEg1gSvC+JMcKu4tyTOLKyBP1JP5o5NPZm7eIvGttRizUs24X7UUUfZ22+/bV999ZX16tXLjVNqKqrn448/3h588EFTrBkwYIDddNNNtsQSS9T0Uf6+iALEmSJic6gqARLuNIaKEaCDmpyqpoMaLOGu2SBKikyaPtuaN9YL7lpYvXrFXRdx7ty5LnHRqVMnu/zyy2306NE2aNAgO/DAA+2iiy7KeSFnn322tW3b1kaOHGlDhgwh4V6iX086p+EqhjgTzivOrYkz+fWnpV7MvfHGm9gKvVe2O265wRqnXnYXZyk01vhzPvroo2348OH2wgsvkHCPsyJzHJtYE7xSiDPBreLekjizsAYmppYp+zW1XFmzxg2sR8eFL04ttRnuSrivsMIK9v7779sXX3wRKOGuSUeaRHTnnXdamzZt7Igjjkgt9VnfJe4ppSNAnCmduqikMyHhXkm1XeHXSgc1OQ0gqR1UdRr79OnjoO+55x5r1KiRm/l93nnnVSXCNfPh9NNPtwceeMAlmbX9pZdeavqsyl9//eU6am+++aZNmDDBll9+eTvttNNszz33rKrA9M6pXnB3+/2P2slHDLbLr77ODjlg30Uqum/fvrbHHnvYCSec4P5uhx12cB1D7V8z0pX0XnrppV0yonv37qEaipIX2267rY0aNapqJsctt9xiJ598so0bN87NXs9X1Dk95phjAiXcu3btaoMHD7Zhw4bZ448/bu3atbPrr7/e1l13XffnQ4cOteWWW87uuOMO0zWr+P3fe++9bvbJb7/9ZltvvbXdfffd9sgjj5gS/5MmTbJ//etfdvXVV1uDBvEmlULhF2FjOqfhkIkz4bzi3DqpcUZmxYo1/dbf0Lr3SsWoK65yywAobuy1115u5t4///nPxMQaxanjjjvOHnvsMevdu3eNCXfduFYce+aZZ+zVV1+1ZZdd1sWVDh06uFjz4YcfumXdFOcVo1XOOecce/LJJ03JGv3/8ePHu5vPilFXXnmlXXXVVTZv3jxT4l99AEp1AWJN8BZBnAluFfeWxJnqY5oll+lqBx55vJ142P5V46LMhHuccSa9vfjf9JpmuGsModhw//332y677OJ28d1337nZ8e+++67169cvazNkTFP8bydxpvjmHJE13GkDFSRABzU5lZ3UDqo6jR9//LEdcMABLtH+0Ucf2UEHHeTWJdSMbxX9+5tvvrFLLrnEunTpYk888YSdccYZ9uWXX1qPHj3s999/d8n4zTff3Fq3bu0SHMcee6y98847tvbaa7t9pHdO1cE7+JBD7KLrbrVNt9zKvUC1UepFqulFiebvv//enn32WZs/f761b9/ezbxQsmDgwIF23333uQS5Eu8qh6T2pwR1vjJlyhT312eddZY9/fTT1WaA/PTTTy7x/cknn9jqq6+edz9hE+6TJ092M+c33XRTlyDXua+33nq2//77uwSIrkPX+vXXX7vOvPavOpCZbmzo8zvttJOtueaaboa9Eu4//vij7bzzzi4Jv/vuuyfni1KEM6VzGg6ZOBPOK86tkxpnfAwoRqzZcKONbdmeK9kp515in7z2jB1x2GEuqaCbrNlKKcaaMWPGuN97JcMV+7p16xYo4b7kkku6JLme4FJcUdJFce2kk06yZZZZxsUcxRAl81WUnFFiXTH13HPPtR9++MElX/r37289e/a0ww8/3MVxfe69995zy9tQFgoQa4K3BuJMcKu4tyTOLBzTtGrVyobc/5hddu5p9tqbb9mG662bdUyjMUhccSa9vQRNuOum7GabbeYmMSkm+KIbtZpQpDFctqKEO2Oa4n5DiTPF9eZoCwSY4U5LqBgBOqjJqepFAmIqSWyzp8VzAY1S6wwGXKZFSd2xY8dWJXt1wqeccopLSCvJrvVnNWDXv5Vs90XJdSXTcy3BouTGiiuuaFdccUW1zqkS9Jopp0TCkiutadNnzbU2zRrZsu1aVLPSLD3N4Nbsea1JqISAEstNmzZ1iX/dBJg2bZpLXqvoGvR9yVf8THgls3/55Rd76aWXqjbXvlq0aGHPP/+8bbXVVnn3EzbhvuGGG7obBSp//PGHde7c2c4880z3FIGKEhma8a6lbbTMjfa/33772YgRI6pmIqozr30oEaMZ/ioyUedXsxopCwXonIZrDcSZcF5xbp21bccVa0LEGZkVM9Z07dnbuqRmJd54+YWpWPZUapmZjXNWW6nFGt1g1hNN66+/vrux/fPPPwdOuGv7888/v1pc0fJnSpiraK1exZbp06e7/1ZyRsuqKS4pseTjim4AK/mum9wqiuX77ruv6xtQiDWFtAHiTCFq8XympOKMCELEmrqIMz+MnWL77bWzrdJ7Jbvh2qtdpfhJRH5M89RT8cWZ9FYSNOGumwOKBXqCOb1oXKcbrprsk61ozMGYprjfS8Y0xfXmaAsESLjTEipGgA5qcqp6kYA4a6rZRQsT1EW9ktNGmTWunsDOdXx1Gv2SJn4bdRw1y03X9OKLL7qZgUpGpxd10jTr+qGHHjKtU6vE+8MPP+xmu8+aNct14nbccUf3Z75zqgSyEuNaH3CttdZKJdvn2IixU21+6n9dUwn31qnEuy9aukbLr2g9Qs2w0z9aYkbJdiWoNfvuxBNPrJqFH8a32Al3zRLUuaoomaIkhlx23XVX92d+dr1ejLfKKqu4hLs+M3Vqqg39f9Gs9kcffdTdGPFFL3rVTBMtVUNZKEDnNFxrIM6E84pz66xtO65YEyLO+BhQrFgzfHgq1owba/c88ZLtMnBja5jxBFV6HZZarLnuuutcfHjjjTfccmFhEu7Z4soHH3zg4q2KXhKuJ620nICeRlNyRsuUZcaVP//80z2p5otuWGjGvWbPU4g1hbQB4kwhavF8pqTijAhCxJq6GNPMTI1pZqXGNAO33d6eeeIxVyk6TuaYJl9t1WWcST9uMRLujGmK+71kTFNcb462QICEOy2hYgTooCanqss14a4kr9a91YA8c61wzbTWjGwlwTWTXcvQrLzyyi45r0cSGzZs6Gay+86pZtBpyZbtt9/eraer5VNGT5xu46bMdEvKaGmZBvUXvkB1jTXWcGvvaj3BLbbYwnbbbTc3O1xL2ejlQJqFp8S7SikvKSML/eOLrlvL8mhdepXMhEq2GfTZOtGacahOvDdOzrelbs+Uzmk4X+JMOK84ty6pREiIJIiPAfkS7lHHmg8++tg23nygXXfDjdapTbO81VZKsUZxQbPu018mrpvair+KxXfddVfWa6kpruhDr7/+upu96JcRCBpXSu0FgXF+B9OPTawJXhPEmeBWcW9ZUnFGGCFiTU0J90LizOx6jVLv0zjWmqTecfXyC8/mHdPkq7u6ijPpxwyacK/NkjKMaYr7DSXOFNeboy0QIOFOS6gYATqoyanqJC8poxeFps9wO/XUU02z3LWkjF72qeS2Xoiqxwizle222846duxoenRdRS9Z0yPoK620UrWEu9aVPSy1nq46xJodf8MNN9jcefNt+JjJNmvuPGvfsol1Sb3kzhetIajja4beW2+95fapfWjd85dfftm99NSXMEvK+JemagkXnbfKrbfe6mahaz9NmjTJ2/DCLilD57S432M6p+G8iTPhvOLcuqQe9Q/xmL/M9LtfzFiz936Dbestt7DNt97O7hlyS+pmbvX3hKTXYynFGi3flr48muLcgAED3BNOWkN9qaWWytoESbgX/5tJrAluTpwJbhX3liUVZ4QRItbURZyZOmN2ajzTy7r3XMFeSSXc9Vvrb0Jmjmny1V1dxZn0YwZNuPuXpur9W3oflIomMWmcVdNLUxnTFPcbSpwprjdHWyBAwp2WUDECdFCTU9VJfcmQf2mq1kQ/+OCD3Qx0/X+9SE3/rbL33nu7ZWD0Z3qhqJImQ4cOdcufbLPNNqmZH8e5ZIDWh11sscXcY+d6tF0z6dJnuCtZrlnw6tTpuFqTXf89OdWZ/enPBcundO/Q0po3aej+v5L+6gh26NDBrW+uoo6eEvVajkUdxUKKZgvqXLQm/WWXXebWr9V68YMHD65ak15J/kGDBrnr1IvoVJQIGT9+vFvfXuve6iaAO+fu3avWVc88H613SOe0kFoq/DN0TsPZEWfCecW5dVLjjMyKHWv0guoX3/7UBu28te248y5260035Ky6Uos16ScaZkmZfE9OaZ/McI/220usCe5JnAluFfeWxJnqYxqNfR56+BFba90N7IXnnrYmDRtUJdyzjWly1V9dxRkdT8vbTJkyxb3TSUuHablPFU18aty4sVvuUy9Jvfvuu937t1QOPfRQ994qTSLSEmNHHnmk+3Mt4ZmrMKYp/reTOFN8c45Iwp02UEECdFCTU9lJ7aAqCdK7d283K10v0dFj6+qEXXDBBVWPtM+ePdv9tzpq6rS1b9/e+vXrZ+eee65bQkZJaL2UTcnp5s2bm9ZIV3JaMyiyJdxVq99++63rsCqZr87sb+On2YRps6xpowbWvWNLq5+aQaL96lhaSkbJfBXtT2vDq1PpbwgU0kr00lRdpxIQWgJH66FraRwtg6PiExNaX10dTBUt4ZLtcX51bnUt2Qqd00Jqp3afoXMazo84E84rzq2TGmdkFkesmTB1lr3xwac2eLftUjdV97arc6xBXmqxJr2NkXCP8xuX/9jEmuB1Q5wJbhX3lsSZRcc0Xw37wSZNnGSPp5aDbNu8cbWEe7YxTbY6rMs4o/iq935kFj+G8XEkfbyiej7++OPd5CW9d0tPUmm5Ty0Vmqswpin+t5M4U3xzjkjCnTZQQQJ0UJNT2UntoJbK2qxzUkvKDBszxeakEv9LtG7q/qEgUIgAndNwasSZcF5xbp3UOOMT7v4pp2IZ6iXV32vJsjnzrHNqHfcOrfIvF1as8+I45SFArAlej8SZ4FZxb0mcWbQGRk6YZuNTN3AVQxRLKAgUS4A4UyxpjpMuwJIytIeKEaCDmpyqTmoHtVQS7qrpiakZ7r+mZrprfcQeqVnumu1OQSCsAJ3TcGLEmXBecW6d1DgTV8Jdxx0/daaNnDDdGqZezL1i6sXc9dNezB1nXXLs5AsQa4LXIXEmuFXcWxJnFq2Bv6bMtN8nTreWqSUvl0stfUlBoFgCxJliSXMcEu60gYoUoIOanGpPage1lBLumo34y1/T7O/Umu7NGze05Tu0qFrWJjktgTONW4DOabgaIM6E84pz66TGmTgT7vNScWXYHwtezK2Xcuvl3BQEohAg1gRXJM4Et4p7S+LMojUwbdYcGzF2ijVM3bDt1bk1Y5O4G2kFHZ84U0GVXUKXygz3EqoMTqVuBeig1q1vlHtPcgc1Sofa7kuP/g9PLQEwN5Uk6ZJ6bLM9SwDUlrTiPk/nNFyVE2fCecW5NXGmMH0/O7FRapb7CsxyLwyRTy0iQKwJ3iiIM8Gt4t6SOLNoDcybN9++HvW3zU/9b8VOraxx6sWpFASKIUCcKYYyx8gUIOFOm6gYATqoyalqOqjR1ZVPjujFqT2WaGlN6NhGh1sBe6JzGq6SiTPhvOLcmjhTmL5muX+fmuU+m1nuhQHyqawCxJrgDYM4E9wq7i2JM9lrQJOBps+ea8u2a25tmjWOu5o4foUIEGcqpKJL7DJJuJdYhXA6dSdAB7XubKPeMx3U6ES1tMyPf061qTPnuPUSu7VnaZnodMt/T3ROw9UxcSacV5xbE2cK1682yz01Q1E3dCkI1EaAWBNcjzgT3CruLYkz2WtgZOodU+NT75rqmHrythMvTo27mVbM8YkzFVPVJXWhJNxLqjo4mboUoINal7rR7psOarSeM+fMTS0tM8U0M3HJ1Lq77Vh3N1rgMt4bndNwlUucCecV59bEmcL1meVeuB2fzC5ArAneMogzwa3i3pI4k70G/E3bVk0buYlAFASKIUCcKYYyx8gUIOFOm6gYATqoyalqOqjR19W4yTNt9KTp1sAtLaM1E+tHfxD2WHYCdE7DVSlxJpxXnFsTZ2qnz1rutfPj09UFiDXBWwRxJrhV3FsSZ7LXAC9OjbtlVubxiTOVWe9xXzUJ97hrgOMXTYAOatGoa30gOqi1JlxkB1pa5odxU02dXJaWid63XPdI5zRczRJnwnnFuTVxpnb6zHKvnR+fJuFeaBsgzhQqV/zPEWeym/Pi1OK3RY5oxpiGVhCHAAn3ONQ5ZiwCdFBjYS/ooHRQC2Kr8UMzUi8oGjF2wdIySy3WzBZv0aTGz7BBZQvQOQ1X/8SZcF5xbk2cqb0+s9xrb8geFggQa4K3BOJMcKu4tyTO5K4BXpwad+usvOMTZyqvzkvhikm4l0ItcA5FEaCDWhTmSA5CBzU/4yabbGKrrbaaXXPNNaG9WVomNFnWD/z888/WrVs3+/TTT11dRFG6du1qxxxzjPtHpV5q+Z8nnnjCdthhhyh2n3MfmcdN35DOaTh64kw4rzi3Js7UrF9TrNHN22F/TLZZc+dZl9SL79qnXoBHiVbg9ddft/79+9uECROsbdu2kew8PbbURSzLdZL5YhqxJnjVEmeCW8W9JXEmdw2MnJB6cerUWXbIHtvb2n3XKGhME3f9lsvx6yIOMKYpl9bBddRWgIR7bQUr8PM33nijXX755fbHH3/Yqquuatdff72tvfbaOSUeeeQRO/PMM00/5j169LBLL73Utt56a7f97Nmz7YwzzrDnn3/efvzxR2vTpo1tvvnmdskll1iXLl2q9jl+/Hg78sgj7ZlnnrH69evbzjvvbNdee621bNkycA3QQQ1MFfuGdFDzV0FNSZB8n66LpWV+/fVXO/TQQ+21115z38l99tnHLr74YmvYsGHOU7nwwgvtueees88++8waN25sEydOjL3dhTmBuXPn2rhx46x9+/Z5rzPMPjM7p/qNXWyxxaxJk7pNYpVqwj2JsYY4E6bFx7stcaZm/yCxxs9yb5jqm63YqVWqj1av5h0XuEUhscYfaubMmbbOOuvY559/HumN0gIvJfDHZs2aZeoDL7HEEu4mbBQlPfFdF7Es1zmWYsKdOBNFi2IfuQSIM7nbho8dB+2+nfVba82SSbgfddRR9vbbb9tXX31lvXr1cuOUmorq+fjjj7cHH3zQFGsGDBhgN910k/vdTkKpizjAmCYJNc85FkOAhHsxlMvoGA899JANGjTIbrnlFjdw0QxbJdS///5769ix4yJX+s4779hGG23kkm/bbrut3X///S7h/sknn1ifPn1s0qRJtssuu9iBBx7okveawXP00Uebfvg/+uijqv1ttdVWNnr0aPv3v//tkvT77befrbXWWm5/QQuJkKBS8W9HBzV/HQRJguTbQ/rSMku2bWbtWhae0NV3VTO8O3Xq5G7E6Xuq3wh9py+66KKcp3H22We72XojR460IUOGJC7hXhffknyJ77o4nt9nKSbckxpriDN12VKj3TdxpmbPILHGzXIfk5rlPmeedW7T1Dq0alrzjgvYotBY4w+lvuXw4cPthRdeSFTCvQCqGj9SrKenMk+k1BLuxJkamwob1FKAOJMbcHrqnVLDU8tcHrDbtrZeKuGuiXSlUJRwX2GFFez999+3L774IlDCXZOONInozjvvdJMHjzjiCDdBUIn7Si2MaSq15rnuRfo+qdmO82FBIKiAkuxKdN9www3uI/PmzbOll17azT4/5ZRTFtnN7rvvblOnTrVnn3226u/69evnEnRK2mcrH374oZsx/8svv9gyyyxj3377ra200kqmP+/bt6/7yIsvvuhmyStZlz4TPt91kAgJWsvxb5fUDqqSE7qRpHLPPfdYo0aN3Mzv8847r2pmmmY+nH766fbAAw+4JLO2100ofVblr7/+ch21N998092AWn755e20006zPffcs6piMpMg6uTttddebjbFP//5z0UqUN+bPfbYw0444QT3d1qiRJ9566ufUjPSW1nz2RNt+W5dXTKie/fuoRqAkhe6mTZq1KiqmRz6bp988sluBrhmr+cr6pxqCZUgM9zVeRs8eLANGzbMHn/8cWvXrp17wmbdddd1fz506FBbbrnl7I477qj6rfD7v/fee93sk99++839dtx9993uZqES/7rx969//cuuvvpqa9CgQaDrz3z80j/2/8orr7hr/+abb9zv3H/+8x/XcfdF155SPQAAIABJREFUT+moPXz55ZfuaYANN9zQLRujku/xS3+8xx57zF2zBgJ6YkjWun5f/ve//9mpp57qblhq9v2OO+7obni2aNHCbTJ27Fg74IADTOepmyQXXHCBa4/pS9mkA8T1mH9SYw1xJtDXpyQ2SmqcEV6pxRotC6DlAfbapr8N2nsvO+nEE6vFGsUy/d6pz6Y+Y7FjjeLUcccdZ/r97N27d40JdyWG9duq3+tXX33Vll12WRdXOnTo4GKN+qOaJKI4rxitcs4559iTTz5pStbo/2tWum4+6/f6yiuvtKuuusr1mZX4129u0JK5pIyPaUoW63dbMW2DDTZwsaZz585Vu9X56rgjRoywxRdf3D0Z6vvu+ZaUCRrLnnrqKTv33HNdrFM/XE+26br8k22qY8WaDz74wMVlJdO23HLLnMukxRFriDNBWyHbFSpAnMk9ptHN2q9H/W3777KNm+F+/XULEu6FjmmiiDPp9ex/02ua4a4xhGKDJgFqEqHKd99952bHv/vuu6a8R7bCmKabi8mVMKYp9PeDz5WHADPcy6Mei3IVeqy1efPm9uijj1ZbU1idbCXL1PnOLEqYa5Dj1yTW3yvBpUGJHuvNVpQIUqdc+2zdurUb5ChRpkDqy5w5c6xp06YuYaaEUraixKb+8UWJEA30FBi1X0rpCiS1g6okyMcff+wGmUq0K+l50EEHuSdBNONbRf/WANUvm6Rkq5ZVUgJWCdTff//dJeO1tJLaqTqexx57rOlpEb90U3rCXR28Qw45xHX0lPjOVvT90VMouvGle6xKxGrmxaXX32p9N+hvrzzzmF114dkuGaKi/SlBna9MmTLF/fVZZ51lTz/9dLUZID/99JMbYOtJltVXXz3vfsIm3CdPnuxmzm+66aYuQX7ffffZeuutZ/vvv79LgCjZrWv9+uuv3U0O7V91IDPd2NDnd9ppJ1tzzTXdDHv9Hmk5KyUjlITXTcIgJVfCXQN4HUedbzlqVqaf4aK6/Mc//uGSEroBot9ULaelBLlKkIT7iiuuaFdccYVrK9qPEj9KqCjJ8cMPPzgDJdG32WYbd8NDN2/0Z0rGqOhmg26OKJmkG0JKDmkdepmm/057gziSIEmKNcSZIN+W0twmqXFGmqUWaxRXho2ZYheedaqN/vVHe/nF56vFGiWmBw4c6H6v9RtdzFgzZswY93uvfqdiX5B3byh2LLnkki5JrhunOmclXRTXTjrpJDcZRDFHMUTJfBUlZ5Tg1nUqEa3fYyVftP56z5497fDDD3dxXJ9777333FOiQUq2hLti2sYbb+xupiqW77333i7Wylfl5ptvdn1v9TP0hKj6vYpD2d4PUkgse+utt1x/47rrrnM3jXWtOqd9993XxVTdWFDc0XIKMtHxdWzFmlzvJSl2rCHOBGl9bFNbAeJM/jHNiNQM9z3/MdD6rrG63Xzj9W4sU+iYJoo4k17fQRPuuim72WabLfKeDd2o1e+exnDZivr8jGnKf0xT298QPp98ARLuya/Dol2BkjQagGjAkD6jUoOPN954w824zCya3XrXXXdVm52rWbgajGgQlFnUMVl//fVNSSU/cFAiSPtQEi29aAkb7UeJzWxFgVJ/n1lIuBetyRR8oMwOqgbz0+dML3h/tflgs4bNAq+bqiSIZhD7ZK+Oqyc/lJBWkl3rz2rArn+nP5mh5LqS6bmWYNHA1idatU+fcPdJV93s0uA7V9EsPc3g1ux5rUmohIASy41S3899jj7dzj7xKKs3Z6Y9+vCDbhe6Bt2gylf8THgNsvU0yksvvVS1+bRp09yMaiWTNdjPV8Im3DW4V6daRWuca0af3hGhWeMqSmTo90lL22gGt/avJaiUlPYzEdWZ1z70G+TfAyETdX5zPXmTeQ35Zrir462i61fie/r06e4GoW4MqP5z3cwIknC//fbb3Q0dFbUpzdbUU0BqH5p5qRn6WnrLF814V9vQk0Zqd5ptrxmHelJJxc/C0c2LUkm4JynWEGfyfr1L+i+zJULiijVh4oyPAaUWayZOm2V3P/SYnXHMIambfX/ad99+UxVr9Pun5K9uOCs++P5dXcca1aduMqpfqRvbQV8Mp4S7tj///POrxRUtf6aEuYrW6lVs0e+7in4L/PuNWrVq5f5McUV9VyWklRhX0W+1EtPZngrN9oXJlnDPjGnqVysGKiaqqK+ubXTzNVsJOsM9VyxTn0V/528W6xiKaxoP6Pf7v//9r4t96hv4vo6eTFV/oFQS7sSZkv55LpuTK6U4I9QwsaYYY5rfJ063HbbawlZN3dhcvU8vN5Gk0DFNFHEmveEFTbjrJoF+b9Mn+Wk/Gtfphqsm4WQr6vMzpin/MU3Z/JhxIQULkHAvmK7yPljXnVOtza5Zppr5pAGGn4VeaMKdmYfJbaOZHdRps6fZOvcHmw0W9VW/v9f71rxR80C7VefUL2niP6COo2a56Zo04FTy3C/v4bdRW9Wsaz0irhnRavMPP/ywm+2uWVj6ez3JoT9T0XGUQFayQrPWfPI010nqaREtv6KbYrphpn80w1oJkOdeecPWWKW37XfIUXbKsYdb00bBllTxxyp2wl2zBE/8/+UKlExREkMuu+66qzslP7teT9CsssoqLuGuzyjh7Itm4OlJHd0Y8UVP6mimiZaqCVJyJdxVJ5rdrqLZfGussUbV8lh6QkgvaFPHPFfnO31pl2xJkfRkuZ760VIBuuGpd2WoHWi9Sc1c90VGSnApOa+leNQW1Z588kfb6cWsMqmUhHuUsYY4E+TbUprbZEuExBVrwsQZHwNKLdbot+bj4SNtnV5d7bmhb9iwLz6pFmt0M1QzvfX77Z/4CtMyCok1moGt+KDfSN2MDJNwzxZX0n9/9ZJwPWnlJ3EoOaOnLjPjyp9//umeVPNFN0A1416z54OUbAn3zJimJLb6z5pZrhikmeWadalkT7YSJOGeL5Ypxukpt/Ql2NR30XdKsfa2225zS8jo6TFf5KQnAiol4U6cCdK6y3+bUooz0g4Ta4oxptFyZAM239R+++UnG//nuFqPaWobZ9JbZDES7oxpFk4AKtcxTfn/ynGFNQmQcK9JiL+vEqjLxy/VMd1tt91c51yDBCUHfSl0SZnMqmNt3eQ05nJNuCvJqzXWNSDPXCtcM601I1tJcC0ZomVoVl55ZZecVyJUS4bokXifbNEMOi3Zsv3227u12zWAzleU+NU671pPcIsttnDfN80OV4JWM+6eeuNDWyn17+U7tHBPjZTqkjKZa41nvoQtM6GSbQZ9tk60ZhzqxoQ3runbkivhrg6jkgoqWoJAj/nrJoBmsuh3TXVbm4S7kvha4kBF56tkuRI/GhhpvUjVrZaJySxaAkFLHyQh4Z7kWEOcqembUzp/X0qJkDBJEB8D8iXc44o1k6bPtn5r97VtdtjVfvj6ExuQWh7Qxxotm6YnbDTjW4l3lbpevkzvK9ETXunxUYlhxV/FYj09ma3UFFf0mcxEeNC4EuRFtOnnlGsN9/T3nihu6aa8bnroxrEmrNQ24Z4vljVr1sw9QaqJAplF7VJr8pZ6wp04Uzq/xeV8JqUUZ+QcJtbUlHCPIs7MmD3XNtxoY2uRGgMN/+bLWo9pahtn0tti0IR7bZaUYUxT/mOacv5949qCCZBwD+bEVv8voDUn9YiUOtMqmk2jRI7WCc710lTNrtSAxxctq6CZp37pBp9s1wuWlDjys0P99v6lqVoPW7OCVPS4qh7V5aWp5dk0k7ykjNbNTp/hpkeuNcvdzzBWwkEvRNVjhNnKdtttZ1ouSY+u+++YEuJ6cXB6wl1J18MOO8wlWjXo9S9Dy9UitIagZjhrhp7WX9U+tQ+ts/ryyy/byx99a3PnzbclWje1ejP+DrykjH9pqpZw0Xmr3HrrrW4Wo2bINWnSJG8jDbukTJI7p5ptqEf9a7OkTL6EuxJIWiZH78HIVpToUr2nz9L0f1ZKS8ro3JMaa0i4JycmldKj/mEe85ewfvdLMdYo4bv/IUfYDyOG29eff2pv/2/RWKOnJX0Js6RMIbFGy2ilL4+mYw8YMMA94aTfmKWWWiprg01ywl0XpHXqFQ9qs6RMvoS7X/rR91MyEf2SMvL3L3LVsnPqt5fKDHfiTHJ+q5N8pqUUZ+QYJtYUI84oZqy93oa2Qu+V7aRjj7KBW2wWyZim0DiT3taCJtz9S1P1/i09aaTi+9Y1vTSVMU3uhHs5jWmS/BvGuddegIR77Q0rag9a8kJLL2iNYCXeNQtXj91qHWA9wjpo0CCXUNKLnFS0dIUen9WsXa3nqDUvtVyGZub26dPHlGzXjEv9t17oqH34oqUStAa8itZ9VCJJSXp9RjNE+/bt616uErSQCAkqFf92SX3JkH+RnR6XP/jgg1271v/XS8P03yp6uZmWgdGfafazkiZDhw51N6H0HdGLzpQM0HdFs5f12Lm+Y0rWZibc9f1Tp07H1Zrs+u9cRUl/dQR1Q0vJcRV19JSo13IsNw25y34bP83qpf63fMcW1rxxw0ANQbMFlbjXOq2XXXaZW0NW68VrPXG/Jr0SvPpt0HXq90FFA/Hx48e79e217q1uAqhobXi/rnrmCWSuca6/rykxUkoz3DVTUeveam1gLemjlz9rnXe9kE8lyBru+RLuelqhX79+bo1h+evpCN3o0Q0Vf0PG/5bqpXp6akJtQC/6LaWXpsoiqbGGOBPoZ6MkNkpqnBFeKceaBx95zPbec3dbrF17tyxa44YNqsUaJSUKKYXGmvRjhVlSJj0xnO1zpTrDXdermft6ekBrB+s3X7Pe1e848sgjHUeQJWXyJdyVPNfyeIpl6sNriTIt46Z3xCjJr8k4ekJP8V7xXb+LuumvWFNKCXfiTCHfRD4TRoA4U/OYpt/6G1r3Xn3sumuvsXEjf45kTFNonFHdaslOLZmlnIMmAup3QkUTn5SXUFxTX/7uu+92uRAVPRms/rzGHHrCyP/WKg+SqzCm6eaW3sz11G45jWnC/GawbfkJkHAvvzqt8ytS4sa/GEo/kv/H3lmAR3VscfwfVwgQHAIJ7lLctVhxKe7FC0VKaSkttK8tFGnxAi3aFncrFHeX4BqCkwAh7vLO3BBKSELubnb33rt75n35eE3mzpz5ndk5s+fOnCNiZIqTQklfAoUBEQYnqYiYlknJqkSSR+GUE0msREn6EpOa0ElhEsTfhGNOnKIXJ+XFxl44DkW/aTnmUmuPHSFGnxoG60CrG1ThBBFJLMWXTfEySFxbF5sw8QU06Uq7eGEk/lts1MSmLXv27JKTVFzPFl9QxVwXDlPhnBYxv0XcWuGcFicoUnO4C+jiFojoWzjzhSM/tSLaFX2J6/3CmS9K0jV0samU+iGHuwgJ4EAOkqI5Xemz9v4wNUn9iMRoYpzCASGcvOKlnHjJJhy6oiQ5JpJCq4jfiRAuqV3nf/tz/+44TLk5FSdbxDom1qjUij4hZUQ7Ika8SMQnHOFiUy5ir2/YsEHqIqMOd9HGmTNnpKRT4lSNODkkEsWKlzHjx4+X+hAvRIQzXpyCFy84xVwUSWffPWWTNOb3fRaNvaZq0dYYm4nBFlluSIo3LdYkcRpYJFvTUlGzrRHJucWL3SYt2+KPZX8hfzbnZLYm6eWzPrz1sTVv96NGh7uwhUIuYSdTK7qGlElqQxyMETeXRKhGYfuFY1zsm0XJqMNdtCGc7iJRq3CYiLwhSYm7k+Lzixt1IsG3eOEubJvoW20n3MU42M7o80nkZ+QSYDuT/neamrXrolCJ0pgybQbyZ3U2yHeajNgZYV9F3o93S9J3mCQ78vb3FaHnMWPGQDj6RW4fcZNKhPsUoULTKvyd5v0Od3P7TiN3zeB65keAHe7mp1MeURoE2BGinamh1Q2qrrFZ1aaR2Lh43PYPRQz9m93VAXmzOKlNRJPJI14aCKfE2y8PTda5ijpS0uGuIgyyRWE7IxuV4hW1amcEOLXbmrCoWNx9Hkr3pYCiuTLpnIxb8clhQgHELVBxg0285LXkwrZGvvbZzshnpXRNtjPpayAoIhr3X4ZLdqIY2QsuhifA32kSmbKdMfzc4hbTJ8AO9/QZcQ0zIcAbVO0oUqsbVLU7QeTMgJDIGNx7ESZV9crugkyOdnIeM6s64mS4OHly9OhReHh4mNXYdB0Mb051I8Z2RjdeStbWqp0RzLRga3zJjgSTPXFzskNBdxclVa3avsXNNXErToRl1OXGpmoHlAHB2NbIh8d2Rj4rpWuynUlfA9Gx8bjxLFgKaVk6b2bZt2vTb5lrCAL8nea/ecB2hj8TShBgh7sS1LlPRQjwBlUR7Hp1qtUNqhacIHIU8jgwAi9Do2BnYy2FlrGlf7lYJgHenOqmd7YzuvFSsrZW7YxWHO6RMXG47ReCBBK4CNkRuXlBlJwT3LdyBNjWyGfPdkY+K6Vrsp2Rp4HrT4Ol27WFc7jCxUFeDil5LXMtJsAOd54DyhJgh7uy/Ll3ExLgDaoJYWewKy1vUDM4dFU8Hh+fIIWWiYqNk04nFqAYvEkx6FUhIAthMgLsBNENNdsZ3XgpWZvtjPHpi0Tcr8Kj4UoOFHFjiu2I8ZlrtQe2NfI1x3ZGPiula7KdkaeB+y/DpBxSedyckCOTg7yHuBYT0JEA2xkdgXF1gxBgh7tBMHIjWiDAG1QtaClRRt6gKq+riOhY3PEPo9OJCVISo2wu9soLxRKYnABvTnVDznZGN15K1mY7Y3z6IlTATXHKncJ0WWqIMuNTNo8e2NbI1yPbGfmslK7JdkaeBvxDIvEsKJJDkMnDxbX0JMB2Rk9w/FiGCLDDPUP4+GEtEeANqna0xRtUdegqaQNsTclDRWgZB0poxMWyCPDmVDd9s53RjZeStdnOmIb+UwpR9pxClImEeMKO8Cl303DXWi9sa+RrjO2MfFZK12Q7I08DoZGx8HkRKoWyLJkns7yHuBYT0JEA2xkdgXF1gxBgh7tBMHIjWiDAG1QtaClRRt6gqkNX4lSiDyW+C4uKleLvFsrhAuF852I5BHhzqpuu2c7oxkvJ2mxnTEM/luLyilPucRSqzIPCk2V15ttSpiGvrV7Y1sjXF9sZ+ayUrsl2Rp4GhH249iRIyvkhHO7C8c6FCRiaANsZQxPl9uQQYIe7HEpcxywI8AZVO2rkDap6dCVCAtz2T3SW5MzkiNxujuoRjiUxOgHenOqGmO2MbryUrM12xnT0k25L2ZMTpViuTLC25he3pqOvjZ7Y1sjXE9sZ+ayUrsl2Rr4GbtGLWZFsu6C7ixRahgsTMDQBtjOGJsrtySHADnc5lLiOWRDgDap21MgbVHXpKpCS3j2g5HeiFMrhKiXA42IZBHhzqpue2c7oxkvJ2mxnTEdfJOIWp9xj6LR7Hnppm4Ne3nJhAm8TYFsjfz6wnZHPSumabGfka+DRq3AEhEVLSVNF8lQuTMDQBNjOGJootyeHADvc5VDiOmZBgDeo2lEjb1DVp6uH5HB/RY53cc1TxOG15eue6lOSESTizaluUNnO6MZLydpsZ0xLXzhShEPFhk63F6dT7mxDTMtf7b2xrZGvIbYz8lkpXZPtjHwNJNkIFzrUU5gO93BhAoYmwHbG0ES5PTkE2OEuhxLXMQsCvEHVjhp5g2oaXYnkdZs2bULbtm3T7VCElLnjH4qo2DjpqmcBisWblPzO09MTI0eOlH64mBcB3pzqpk+2M7rxUrI22xnT0E+yM23atKHwZKFSyIDsrg7Im0W3E4xsZ0yjL6V6YVsjnzzbGfmslK7Jdka+BoRtEGFlRK6oUnkz65wzSpfvNO+Tim2NfJ1prSbbGa1pzDzkZYe7eeiRRyGDAG9QZUBSSRWtb1CfPXuGH3/8ETt27MDjx4+RM2dOVKhQQXJIN2rUSCWUITnM5TrchdAL/1iMsWNG4+jV+8hHzhJ3cpqI8vz5c7i4uMDZ2Vk1Y2NBDEOAN6e6cWQ7oxsvJWuznTEN/bftTEhkDO5RIm7xu2K5XOFga5NCiGXLlkm2MjAwMNnf2M6YRl9K9cK2Rj55tjPyWSldU+t2RvAz1XeahARKnPo0WMoZJW7SOtnrFr5S1+80bGuU/nSYvn+2M6Znzj2Sv4UWN5EQmgsTMHsCvEHVjoq1vEH19fVFrVq1kCVLFnz//fcoW7YsYmJisHv3bixatAg3btxQjSL02Zx+Ro6QI1d8pZMnRWhD7GiX0mGimgGyIBkmwJtT3RCyndGNl5K12c6Yhv7bdkZ85RAO99CoWOmmlEiO925JywliGmm5F6UIsK2RT57tjHxWStfUsp0R7Ez9nUbYB/FiVtyAEjehdCn6fKdJ7eWuLn1yXW0RYDujLX2Zi7TscDcXTfI40iXAG9R0EammgpY3qC1atMClS5dw8+ZN6dT320Wc2BOO+AcPHmD48OHYt28frK2t0axZM8yZMwe5cuWSqk+aNAmbN2/GmDFj8M033+DVq1do3rw5fv/9d2TKlEly3Is6jx49kp5PKuLKvru7O5YsWSL96rfffsP06dPx8OFDeHl5YcKECejZs+eb+m9vTg8ePIgGDRpIfQkZRbl48SIqVqyIe/fuSZtu8fe3y6djvsSsqT+hUCGvZCFlMjo+1UxEFgS8OdVtErCd0Y2XkrXZzihnZ8RL28xublKc3tvXr7zXzkycOFGyd+9e82c7o+Snx/B9s62Rz5TtjHxWStfUsp0R7Ez9neZ5aDT8giORxdkew/t2Nel3GrY1Sn9ajN8/2xnjM+YeUhJghzvPCoshwBtU7aj6XYMoTsUlREQoMgArJ6c3scrTEyAgIADZs2eXwsl89dVXqVaPj49HpUqV4OrqipkzZyI2NhbDhg2T/ls4vUURzoUZM2agSZMm+O677yQn+Mcff4x+/fpJbYv/zp07N3bu3PkmRI3oO0+ePG9+J0LFdO7cWeqjcePG2L59O7744gvs2bPnjeNcF4d73rx5JQf+t99+iyvXrsOHTqE4ODohf85sqF2x1BuHuyHGlx5n/rvpCPDmVDfWbGd046Vk7dTmtlK2xtLszBWfx4izc4YzhQwIeXwbH3zwgfRi9207I15aiyJso/h52+HOdkbJT45x+mZbI58r2xn5rJSuqSY7I1io3dZUrVVXugUVHhKIehWKm+Q7DdsapT8lpuuf7YzpWHNP/xFghzvPBoshwBtU7aj6XYMYHx6Omx9UUmQAxc+fg7XM2OSnT59GtWrVsHHjRrRr1y5VeYXDW5xWF84FDw8Pqc61a9dQunRpiOerVKkiOdynTZsmxU0UJ9pFEc7yw4cP4+TJk9J/i0Sn4jT74sWLpf8Wp96Fc16cZhen3kVYG9Gm+H1SEU77sLAwKba8tPF+K4Z7eifchbPj7av+oXTlUzjdRWlZqwJGj0pMmmqo8SmibO40BQHenOo2KdjO6MZLydqpzW2lbI2l2Rn/Fy/hF2mDeHqZHvTwNurWrCrZxHftzNvz422HO9sZJT85xumbbY18rmxn5LNSuqaa7IxgoXZbs4hu8l59Eoz1fy/D4tnTTPadhm2N0p8U0/TPdsY0nLmX5ATY4c4zwmII8AZVO6rWqsP91KlTqF69+nsd7rNnz8avv/4qORfeLlmzZsWsWbPQq1cvyeG+bt06XL169U0V8YwIO+Pj4yP9Tvx9wIAB8PPzg4ODA+rVq4fKlStLJ+NFyZYtm9RP796937Qh2hc/SW1kxOEuGn0WFAn/kEg0r1EOo8jZ/jklVDXU+LQzW81bUt6c6qZftjO68VKytpocIbo4QczFzkRZO0qhA+5SSJn2Tero5HBnO6PkJ8c4fbOtkc+V7Yx8VkrXVJOdESy0YGvuB0ajW5tmqF6tKubO+tVk32mS5srbL3fZ1ij9CTJs/2xnDMuTW5NHgB3u8jhxLTMgwBtU7SjRnEPKyN28iRjuIoZ6UhGhYcSPiKUuimAkYr4vXbpUOhVfsGBBnD17VrqaL4quDndxel447UVoGuH8F+XMmTOoWjXtk4ci/ILP8zDUrVQKfQYOxf++Hoe5c+fIeqGQ3vi0M1vNW1LenOqmX7YzuvFSsraarvob+pq/FuxMZrcsuOUXggvnzqJ7q0ZGcbiznVHyE6Zb32xr5PNiOyOfldI11WRnBAst2Jr8RcugevkS+OfAUTStV9Nk32mS5oo+Dne2NUp/0uT1z3ZGHieuZVgC7HA3LE9uTcUEeIOqYuW8I5qWkwyJcDGXL19OM2mqcGKnFVJG/E2cUk9Kmvo+h7tA1rdvX4h5LcLYCMf79evX35BMK6RMOIXnEfHcpY33WyFlxLOlSpWSTtWLf0URSVoHDhz4xhGycuVKDBo0CCEhIW/6iY6Np4Ssnujefwg+o1Pu184cNdj4tDNjzVdS3pzqplu2M7rxUrI225nEpKlK2plXYdGYOe83fD9uJG7duYuihQshNTsj5onckDK62lEl5yD3/R8BtjXyZwPbGfmslK6pZTsj2CnxnaZsxUpYsXw5/j12DkVyukoqNNV3GrY1Sn9ijNs/2xnj8uXWUyfADneeGRZDgDeo2lG1ljeoIlyL2BiKE+bff/89ypUrJyVGFTFnRdJREa9dnEIXsdmTkqYOHTo0RdJUOY6QvXv3omXLlpIjokePHpgwYcIbJYvnRcx2EUJGJE3dtm2bFAdePFO/fn2p3tsO95iYGBQuXFgKiSMSs966dQtjxoyRXhwkxdY9fvy4NDbRRvny5eFMse3FT8GCnujcdxB6fDIEHlmd0LB2dYOMTzsz1nwl5c2pbrplO6MbLyVrs52R53A3pp0R9uWzUaPhc+c2jl+8hhrlSyItO/O2w13crjKUHVVyDnLf7HDXZw6wndGHmjLPaNnOCGJKfKcR3yk+bN0Rg0aORek8mSkvlZX0cthU32nY1ijzWTFFr/ydxhSUuY93CbDDneeExRDgDap2VK31DerTp08lp7U4SS7+f44cOVCpUiWMGjVKcnZQSnOmAAAgAElEQVQ/ePAAw4cPx759+6QEp82aNZPis4sQMaLIPeEeHx+P/PnzS33cvXsXhQoVSqZk4eCfPn26lHTIy8tLcsj37NnzTZ23He7il8eOHcOQIUNw+/ZtKUzNiBEj0KlTpzcOd1FH/F3Ej3/58iUmTpwoySo2p/0GDUPbngNgQ6fm7SMD8PnokRken3ZmrPlKyptT3XTLdkY3XkrWZjsjz+FubDszcMgw9OzWBTuPe6M+hSdzsrdN086IxNziRxRD2VEl5yD3/R8BtjXyZwPbGfmslK6pdTsj+CnxnWbX8YvI41EQhXO4wsXBVlKjKb/TsK1R+pNjnP7ZzhiHK7f6fgLscOcZYjEEeIOqHVWbwwZVO7QNI2lSPPew6Fg42tmgCG2SxakULtomwJtT3fTHdkY3XkrWZjujJP3kfT94GY7AiGjJsVIou4t0+4qLZRFgWyNf32xn5LNSuibbGf004PsiDMGRMcjj5ogcmRz1a4SfYgLvEGA7w1NCCQLscFeCOvepCAHeoCqCXa9OeYOqFzbFH4qheO63/UMRSyfvs7nYI39WZ8VlYgEyRoA3p7rxYzujGy8la7OdUZJ+8r5FLhCRQDWeQsUUyOaMLM726hGOJTEJAbY18jGznZHPSumabGf008DzkEg8DYpEZkc7eNJLWC5MwBAE2M4YgiK3oSsBdrjrSozra5YAb1C1ozreoGpHV+9KGkInUu7RyRRRPMjhnpUc71y0S4A3p7rpju2MbryUrM12Rkn6Kfv2C46E+LGzsUbxXJn4hpS61GN0adjWyEfMdkY+K6Vrsp3RTwNhUbG4+zwUtnRTtiTFcedbT/px5KeSE2A7wzNCCQLscFeCOvepCAHeoCqCXa9OeYOqFzbVPJTkOLGmsACFc7rCiULMcNEmAd6c6qY3tjO68VKyNtsZJemn7Ds+PkE65R4dF49cmR2lHy6WQ4BtjXxds52Rz0rpmmxn9NOAuO107UmwdOupGL2AFaEquTCBjBJgO5NRgvy8PgTY4a4PNX5GkwR4g6odtfEGVTu6Sk1SEc/dl2LyitPuDrYUzz2nC2woOSwX7RHgzaluOmM7oxsvJWuznVGSfup9B4ZH40FAOMTL2mK5XGFP9oOLZRBgWyNfz2xn5LNSuibbGf01IE64i5Pu+bM6UZhKB/0b4ieZwGsCbGd4KihBgB3uSlDnPhUhwBtURbDr1SlvUPXCpqqHYumUoojnHkP/ujnZSXF5+UqoqlQkSxjenMrC9KYS2xndeClZm+2MkvRT71u8rBUhyULJySLsRkF3jt2rPi0ZRyK2NfK5sp2Rz0rpmmxn9NfAM4rh7k+x3LNSTg8P+g7BhQlklADbmYwS5Of1IcAOd32o8TOaJMAbVO2oLckgenp6wsnJSTuCs6TJCIRHixiMYRBOlDxujsiRiUMEaG2KREREwNfXF15eXnB0TK4/XlNTapOZaGeGs51Rp64iYuJwxy8UCfQ/L0qWl4mS5nExfwJsa+TrmO2MfFZK12Q7o78GknJC2dtao0TuzPo3xE8ygdcE2M7wVFCCADvclaDOfSpCgDeoimDXq9OYmBjcuXMHefPmhZubm15t8EPqIPAyNAqPAyNgReII54krO0/UoRiZUgQFBeHJkycoUqQI7OySO754TWWHu8xppMpqcXFxuHXrFnLmzAl3d3dVymipQj0hm/GCbIcISVaUQsuIEDNczJvAy5cv4e/vj2LFisHGJnkoIbY1yXXPPLTzWWA7o7+u4uLjpTjuCdSESJwqEmpzYQIZIcB2JiP0+Fl9CbDDXV9y/JzmCPAGVTsqEyeiHzx4AOF4F053a47/rR3lvSOp0KW4FhpM8dxFHHcRWkacVuGifgLx9GVHONuFo71AgQIpQgLxmsoOd/XP4vdL+PTpUwQGBkpOd2dnDnulFn3G0trj+yIcwuGSI5MDx+9Vi2KMIIfYI4SHh0vO9ixZsiBPnjwpemFbww53I0w9kzXJdkZ/1L4UYiwqNk66JZvZyV7/hvhJiybAdsai1a/44NnhrrgKWABTEeANu6lIG6af6Oho3Lt3D8Lpx0XbBMRG53lIFKLjEiRnew5Xe47nrhGVipddIpyMvX3KLzq8prLDXSPTOE0xpReCz55JTncu6iIgkuW9Co+h0+1ArsyO9MKWT7mrS0OGlUY423Pnzp3q3oBtDTvcDTvbTNsa2xn9eQeSDRA5PVwdbJCFYrlzYQIZIcB2JiP0+Fl9CbDDXV9y/JzmCPCGXXMqk5ztwvHORfsEnryKwJC/z0kb54/K5sHoJsW1PygLGIFwtKd1w4TXVHa4m8tHQFz7FzequKiHQHx8Aj5bfQHXngajQfGcmNCylHqEY0kMSkDcono3jMzbHbCtYYe7QSecQo2xndEd/KFb/vh+2zUpJOUfvavo3gA/wQReE2A7w1NBKQLscFeKPPdrcgK8YTc5cu6QCSQjcOjWc/RZepqSqAKT25dF16oFmJCGCfCayg53DU9fFl0DBK48DkLruUdBvnes/KQaahbJrgGpWURDE2Bbww53Q88pbk8bBMTt2Co/7qWbL8CFbz7kU+7aUJsmpWQ7o0m1aUJodrhrQk0spCEI8EJqCIrcBhPIGIF5B+5g2u6bsKfkR6sHVccHBbJmrEF+WjECvKayw12xyccdWwyBiVuuYPmJ+yicwwX/fFaXc4BYjOb/GyjbGna4W+C05yG/JtBwxkH4PA/DH70qo3GpXMyFCRiFANsZo2DlRokAO9x5GlgMAV5ILUbVPFAVExCxLIf8dR67rj5DTkqGt314beSk+LxctEeA11R2uGtv1rLEWiMQFBGDRuRweREajbFNi2NYgyJaGwLLm0ECbGvY4Z7BKcSPa5jAVxsvYdXphxhYtxDGtyip4ZGw6GomwHZGzdrRtmzscNe2/lh6HQjwQqoDLK7KBIxIQMRxbzfvGG77h9IJ9yxYNbA6HGxtjNgjN20MArymssPdGPOK22QC7xLYdOERRq3xJjthjb2j68EjmzNDsiACbGvY4W5B052H+g6BpPW/fH43bPm0NvNhAkYhwHbGKFi5USLADneeBhZDgBdSi1E1D1QDBHxfhEmxeYMjY9G5sgemdChLMRopSCMXzRDgNZUd7pqZrCyopgmIm1Fdfz+Jkz4BaFgiJxb3rsz2QtMa1U14tjXscNdtxnBtcyLwJDACNafsh421FbwnNoGrg605DY/HohICbGdUoggzFIMd7maoVB5S6gR4IeWZwQTUReDgTX/0W3ZGSoj3XevS6F3TU10CsjTvJcBrKjvc+SPCBExF4I5/CJrPOoKYuAQs6PEBmpXJY6quuR+FCbCtYYe7wlOQu1eYQJ2p+/EwIALL+lZB/eI5FZaGuzdHAmxnzFGr6hgTO9zVoQeWwgQEeCE1AWTuggnoSGDhobuY/M8N6eTKn/2rombh7Dq2wNWVIsBrKjvclZp73K9lEphOCbfnUuLt3JT3Y++YenzS0UKmAdsadrhbyFTnYaZBYOw6b6w79wiD6xXGl81LMCcmYHACbGcMjpQbfE2AHe48FSyGAC+kFqNqHqiGCIhQAaPXemPThcfI4myHrcNqo4A7x+fVggp5TWWHuxbmKctoPgQiY+LQ5NfDeBAQjr61PDGxVWnzGRyPJE0CbGvY4c4fD8smsIGc7WPI6V7BIws2D6tl2TB49EYhwHbGKFi5USLADneeBhZDgBdSi1E1D1RjBIQTpfPCE/B+FIRiuVyxYUhNZHK009goLE9cXlPZ4W55s55HrDSBw7eeo9eS06BLUdhCL2jLUiI9LuZNgG0NO9zNe4bz6NIj8JjiuNfiOO7pYeK/Z4AA25kMwONH30uAHe48QSyGAC+kFqNqHqgGCTwLipSSqPqHRKERJcVb1KuyFGaGi3oJ8JrKDnf1zk6WzJwJjFh1AVu9n6BMvszYPLQWbG2szXm4Fj82tjXscLf4DwEDAMdx50lgTAJsZ4xJ17LbZoe7ZevfokbPC6lFqZsHq0ECFx8G4mM66R4dG49B9Qrhq+YlNTgKyxGZ11R2uFvObOeRqonAc/FidsZBBEfGYsJHJfFJnUJqEo9lMTABtjXscDfwlOLmNEjgi/XeWHv2EX8/0KDutCAy2xktaEmbMrLDXZt6Y6n1IMALqR7Q+BEmYGICWy4+xmerL0q9TutYDp0qe5hYAu5OLgFeU9nhLneucD0mYGgCa848wLgNl+FkZ4N/R9WFRzbO/WFoxmppj20NO9zVMhdZDuUIbDz/SMr5VJ7CiG35tLZygnDPZkmA7YxZqlUVg2KHuyrUwEKYggAvpKagzH0wgYwTmPHvTczZfwd2NlZYOaA6qnhmy3ij3ILBCfCayg53g08qbpAJyCQgEm53WXQSp+4FoG6xHFjetwqsrDgMmUx8mqrGtoYd7pqasCysUQg8DYpAjcn7pfwdFyc2QWbO9WQUzpbaKNsZS9W88cfNDnfjM+YeVEKAF1KVKILFYALpEIiPT8Cnq85j5+VnyOpsh83DaqGguwtzUxkBXlPZ4a6yKcniWBgBn+ehaDbriBSG7NfO5dGuYn4LI2AZw2Vbww53y5jpPMr0CNSfdgC+L8PxO+V5+rBUrvSq89+ZgGwCbGdko+KKOhJgh7uOwLi6dgnwQqpd3bHklkcgIjoOnRedwKVHQSicwwUbKTGem5Od5YFQ8Yh5TWWHu4qnJ4tmIQTmHbiDabtvSi9n946uB3dXBwsZueUMk20NO9wtZ7bzSN9H4KuNl7Hq9AP0q+WFb1uVYlhMwGAE2M4YDCU39A4BdrjzlLAYAryQWoyqeaBmQsA/OBJt5h3D06BI1CrijmV9q1KYGWszGZ32h8FrKjvctT+LeQRaJxATF4/Wc4/h+tNgtC6fF7O7VtT6kFj+dwiwrWGHO38omIAgsP3SE3y68gJK5M6EXSPrMhQmYDACbGcMhpIbYoc7zwFLJcALqaVqnsetZQLXngSj04LjCKMT712qeGBy+7Icp1clCuU1lR3uKpmKLIaFE7hMN6HazDsKikaGPyjUQGMONWBWM4JtDTvczWpC82D0JvAyNAqVftgrPX92QmNk5xtNerPkB3ld5TlgGgJ8wt00nLkXFRDgDbsKlMAiMAE9COy/4YdPlp+VnCnjmpXAkPqF9WiFHzE0AV5T2eFu6DnF7TEBfQlM/uc6Fh7yQa7MDvh3VD0OQaYvSBU+x7aGHUMqnJYskkIEms08jBvPQjCHbjO1oltNXJiAIQiwnTEERW4jNQLscOd5YTEEeCG1GFXzQM2QwPLjvpi49ao0srndKqJlOd5kK61mXlPZ4a70HOT+mUASgciYODSnBKr3XoTh48r5MbVjeYZjJgTY1rDD3UymMg/DAAT+t/0aFh+9h65Vxa3XcgZokZtgAgDbGZ4FxiLADndjkeV2VUeAF1LVqYQFYgI6Efhu21UsPeYLe1trrPykGip7ZtPpea5sWAK8prLD3bAziltjAhkjcMY3AB8vPIEEug21ol9V1C2WI2MN8tOqIMC2hh3uqpiILIQqCIhbr/2WnYVHNicc+aKhKmRiIbRPgO2M9nWo1hGww12tmmG5DE6AF1KDI+UGmYBJCcRRTJnBf53Dnmt+yOJsh41DaqJQDleTysCd/UeA11R2uPPngQmojcAkugm1jG5E5XVzxO5RdZHJ0U5tIrI8OhJgW8MOdx2nDFc3YwKhUbGo8N2/iKXvBIfHNkABd2czHi0PzVQE2M6YirTl9cMOd8vTucWOmBdSi1U9D9yMCESI5KmLTsCbkuQVyOaMjUNrctIkhfTLayo73BWaetwtE0iTQHh0LJrNPIIHAeEUcqCAlGibi7YJsK1hh7u2ZzBLb2gCnRYcxxnfV/ipXVl0q1bA0M1zexZIgO2MBSrdRENmh7uJQHM3yhPghVR5HbAETMAQBJ6HRKH9b8fwMCAC5fO7YdXA6nC2tzVE09yGDgR4TWWHuw7ThasyAZMROHH3Jbr+flLqj0PLmAy70TpiW8MOd6NNLm5YkwRm7r2FmXtvo0XZ3JjfvZImx8BCq4sA2xl16cOcpGGHuzlpk8fyXgK8kPIEYQLmQ+Du81B0+O04AsNj0KhETizsWQm2NtbmM0ANjITXVHa4a2CasogWSmDilitYfuI+8rwOLZOZQ8todiawrWGHu2YnLwtuFALn7gfQd4ATUnjJcxM+hI21lVH64UYthwDbGcvRtalHyg53UxM3g/7mzZuHadOm4dmzZyhfvjzmzJmDqlWrpjmydevW4ZtvvoGvry+KFi2Kn3/+GS1atHhTf+PGjViwYAHOnTuHgIAAXLhwARUqVEjWXv369XHo0KFkvxs0aJD0nNzCC6lcUlyPCWiDgNhwd/v9FKJi46UrpT+2LQMrK950m0p7xlxT2c6YSovcDxMwTwJvh5bpVCk/pnUqb54DtYBRsa1hh7sFTHMeog4EYuPiUfH7PQiheO5bP62Fcvmz6PA0V2UCKQkY084wb8smwA53y9a/zqNfs2YNevXqJTm6q1WrhpkzZ0I41G/evImcOXOmaO/48eOoW7cuJk+ejJYtW2LlypWSw/38+fMoU6aMVP/PP//EvXv3kDdvXgwYMCBNh3uxYsXw/fffv+nD2dkZmTNnlj0GXkhlo+KKTEAzBHZffSYlUk1IAEZ/WAwjGhXVjOxaF9RYayrbGa3PDJafCaiDwOl7AehMOT+EfVjcuzIalcylDsFYCp0IsK1hh7tOE4YrWwSBgSvO4t9rfhjbtDiGNShiEWPmQRqPgLHsjPEk5pa1QoAd7lrRlErkFE72KlWqYO7cuZJE8fHx8PDwwPDhw/Hll1+mkLJz584ICwvD9u3b3/ytevXq0gn2d0+nixPwXl5eaTrcxTPCwa9v4YVUX3L8HBNQN4E/T97HN5uvSEJOoQR5XShRHhfjEzDWmsp2xvi64x6YgKUQ+GH7Nfxx9B5yZHLAvyPrIquLvaUM3WzGybYmuSqNxcNsJgwPxCII/HnCF99suYrqhbJh9cAaFjFmHqTxCPC6ajy2lt4yO9wtfQboMP7o6GiIU+Xr169H27Zt3zzZu3dvBAYGYsuWLSlaK1CgAEaPHo2RI0e++dvEiROxefNmeHt7J6ufnsP96tWrdEopAblz50arVq2kMDVCnrRKVFQUxE9SEQupeDkQFBSk08l4HRBxVSbABBQiMH33Tcw9cAcijOPCnpXxYSk+yWhsVRhjc8p2xtha4/aZgGURiIyJQ8s5R3HHPxQflcuDuV0rcugxjU0BS7c1/H1GYxOWxTUJAd8XYag//SDsbKxw8dsmcHGwNUm/3Il5EjCGnTFPUjwqXQmww11XYhZc/8mTJ8iXLx9EmJgaNf57k/zFF19I8dVPnTqVgo69vT2WL1+Orl27vvnb/Pnz8d1338HPz0+2w33RokUoWLCgFHbm0qVLGDdunBQ3XsR/T6tMmjRJ6ufdwg53C57EPHSzJSBexo3bcAlrzz6Cg601/uxfDVW9spnteNUwMGNsTtnOqEGzLAMTMC8Clx4Fot3844iLT8CsLhXQpkI+8xqgmY/G0m0Nf58x8wnOw9OLgNj31512AA8DIjhkmF4E+aG3CRjDzjBhJiAIsMOd54FsAko6Qt4Vcv/+/WjUqBHu3LmDwoULpzoGPhEiW7VckQmYBQGRREnEc9973R+ZHG2xbnANlMgtP8+DWUAw4SCMsTllO2NCBXJXTMCCCMzaexu/7r2FzGQbdo+qizxuThY0em0P1dJtDX+f0fb8ZemNR+DrTZfx96kH6F2jIL5rk5gbjgsT0IeAMeyMPnLwM+ZHgB3u5qdTo41Iyav+7w5KxIV3dXXFrl270LRpU1lj5oVUFiauxAQ0TSAiOg49F5/C2fuvkJNi9m4YUhMe2dIOPaXpwSosvDHWVLYzCiuVu2cCZkpAvJDtsOAEvB8GolYRd/zZrxqsRQwyLqonwLYmuYqMwUP1k4AFZAKpENh99RkG/XkOnu7OODi2ATNiAnoT4HVVb3T8YDoE2OHOU0QnAiKZnQjlMmfOHOk5kTRVxGn/9NNP00yaGh4ejm3btr3pp2bNmihXrpxOSVPfFfLYsWOoXbu2FAdetCWn8EIqhxLXUZLAg+AH+PXfobgZ8hDlshbD6CbzkNM5p5IiabLvoPAYfLzwBG76haAgbcLXD64pJczjYlgCxlpT2c4YVk/cGhOIjY/FmWdncM7vHK4+OAT/wHsIjo+CA6zh5pgFhfNWQ9k8VVA3X13kcjHf/Bc+zymO++yjiKC47t+0LIX+tb14cmiAANua5EoyFg8NTAUWUeUEfIJ8cOLJCVx+dBwP/b0RHB2CeCTAzc4V+XKURpn8tVE9T3UUo+84VlYZf+EZEhmDit/vQSyFCzs0tj7t+V1UTojFUysBXlfVqhnty8UOd+3r0KQjWLNmDUSS1IULF0qO95kzZ2Lt2rW4ceMGcuXKhV69eklx3idPnizJJeK916tXD1OmTMFHH32E1atX46effsL58+dRpkzi1a+AgAA8ePAAIpRAUp3ixYtLyVHFz927d7Fy5Uq0aNEC7u7uUgz3UaNGIX/+/FLseLmFF1K5pLieEgQeBj9Ej+2dERAT8qb7fE458VerNcjulF0JkTTdp19wJDr8dhyPXkWgZJ7MWD2wOtyc7DQ9JrUJb6w1le2M2jTN8miVgH+4P1ZcXYFtPtsQEBmQ7jCsYIXKuSujR8keqO9Rn5JQW6f7jNYq/HXyPiZsvgJ7yvWx9dNaHHZMAwpkW5NcScbioYGpwCKqkEB0XDQ239mMdbfW4UbADVkSerl5oWPRjuhYrCOc7TJ2C7UzHbA5dS8A/2tTGj1reMrqnysxgXcJ8LrKc8JYBNjhbiyyZtzu3LlzMW3aNDx79gwVKlTA7NmzIU4kilK/fn14enpi2bJlbwisW7cOEyZMgK+vL4oWLYqpU6dKzvOkIur27ds3BbGJEydCJAp6+JAckT164MqVKxChZDw8PNCuXTupzcyZ5cdn5oXUjCelxocWnxCPnv/0xKXnl1AiKhqDA4PwS7YseGBnJzk95jRMvFHCRTcCvi/C0JFCCLwIjUIVz6xYQSEEnOxtdGuEa6dJwJhrKtsZnnhMQH8CYTFhmHdxHtbcWIPo+Gipoax0mr1OSDDKRseiQJFmyORZD9Fhfnh5aTVuRPrhrKMTLjjav+m0aNai+LLKl6iap6r+gqjwSZFor//ys9h/w5+c7ZmweVgtONqxXVChqt6IxLYmuXaMyUPN84BlUxcBsZZuvbsVsy/Mhni5K4ot2Zmq4WGoEBWFolmLI0vJNrCytkPgrR2453cRFx0dcMLZBdF07l2ySw5ZMbj8YHQu3hk21vqtw/MP3sHUXTfRqEROLO5TRV2QWBrNEOB1VTOq0pyg7HDXnMpYYH0J8EKqLzl+ztgEdvrsxLgj4+BCVyI3P3qC3B/0xe2Ly/FxvjyIpRuXfzT5A9XyJL7U4qIbgWtPgtF50QmERMaiXrEc+L1XZelkI5eME+A1NSVDZpLxecUtZIzA4UeH8d2J7944QCrmrIh+EUCtS1tgZ0fX7butBrzq/tdJbBSwvh9wYzueOmfB2lp9ser+LginvSitC7fGl1W/RCb7TBkTTEVPPw+JQvNZh+llbDT61fLCt61KqUg6FuVdAryuJifCPPgzojSBhxT6cuLxiVKoMlFE+Ms+OWug1aH5yBIfB9QdCzT4GhQ35j9RTy4Ado1DKP3un9oDsSTwMh6FPpL+Xsq9FH6o9QM56YvqPLSrT4KkUGFO9OL0wrcf8gtUnQnyA4IAr6s8D4xFgB3uxiLL7aqOAC+kqlMJC0QExAmRTts64earm/j0VSAGhcYAIy4Av5TAT9myYpVbJtTMWxMLP1zIvPQkcO5+AHr8cVqK2/tR2TyY3bUinaTJeOxIPcUxm8d4TU2pSmZiNtNbcwOJiY/B7POzsezqMkl2j0weGF9tPGqFhsJqVWf6Da15XVcBxZunHJtwui9rCTw6DeSvgqDu6zDHex7W3lxL0XcTkN81P2bUnyE5RcylHKAT7n2XJTqLlvWtgvrFOV+KWnXL62pyzTAPtc5Uy5Br7/29+PbYtwihEJiONo7SCfWeBZvDfkEdIPwFUJle4Lb8NXUY+38EDk8F6OVv7OCj2PD8DGadn/WmLWGz2hZpq1N8d/E9qtpP++BPL1L/7F8VdYrmsAxF8CgNSoDXVYPi5MbeIsAOd54OFkOAF1KLUbWmBirCyHTf2R32VjbY73sfbgVqAX22A3Or4mHgHbTwyCeNZ2f7nZIDhYt+BA7fek5hBM4gJo5ecFTKj587lIM1O931g/n6KV5TU+JjJhmaUvywngRCKDHdqAOjcOrZKamF7iW7Y+QHI+EoThrOpSv2wY+BGp8CTcnZkVYJopOG82sAUcFAc3KIVBuEi/4XMe7wODwJewJ7a3tMqTsFHxb8UE8p1ffYxC1XsPzEfWR3tcc/n9Xl5NrqU5EkEa+ryRXDPFQ6Uc1cLOHY/s37N+lHlPI5ymNKnSnInyk/sHEgcGkNHXWnl7IDD1JsGYfUacRTKJnl9HL3/jGgcEOgx0a8iHyJCUcn4NgT+h2VLsW7SLeqdAkxM3adN9adeyQlwhYJsbkwAV0J8LqqKzGuL5cAO9zlkuJ6mifAC6nmVWiWA/jm2DdSsqFWDnnx042TQM0RQJP/AZuGAN4rMahkNRyPfIr+ZfpjZKWRZsnAVIPadeUphq28gDgK3dOnpicmUhgBq7evu5pKEDPph9fUlIpkJmYyuTU0DD+Kwz5k3xDcfnUbzrbO+LH2j2hcsHHiCA5QAvtDU4AsBYBhdHrdzun9IzuzGNgxGnDMknjTyjkbgqKCMP7oeIhQNSKp6riq4ySHvjmUSLr11GbuMdz0C6ET7jmwlOL/sk1Qn2Z5XU2uE+ahvjlq7hLFxsdKocrE9xVRepXqJX0nsaP47Hh0lhE0SR0AACAASURBVGJfNkpEMGA/kK/S+3G8vEsvd6sDlGwV3dYCxZpC5LL64/IfmHthrnSrqoFHA0ytOxWOto5SW3F0UyuWcsfFPn8u/bd1psywL+ABm9e53HZefoqhf59HoRwu2D+mvrmrg8dnBAK8rhoBKjcpEWCHO08EiyHAC6nFqFozA42MjUTdNXURERuBFQm5UNGXrre3mQ9UJGfGcUqU+u8E7C1eD6Oi7yGnU07s7bSXnQEZ1O7G848weq231MqwBoUxtmmJDLZouY/zmppS98zEcj8PSoxcONv7/9sf94PplLZTdsxvNB8l3UsmihIeAPxaBhCx2DstA0q3S1/EuFhgIcV3978K1BkDNPpWeiaOTspPPj0Za27SCUYqYyqNQZ8yfdJvTwM1bj4LQeu5RxEVG48JH5XEJ3UKaUBqyxKR19Xk+mYeljX/lR6tcLZ/deQr7PLdBWsra0yoPgGdinX6T6wVbQCfg3TkvRvQLvH0e7rl32/oe85sIBfZKAotkxTrfbfvbow/Mh6xFOas26sS6E4/kafpdur9B6k2aZMjO1xq1IBNjVpodCIeYXQT69DY+ijoTvlKuDABHQjwuqoDLK6qEwF2uOuEiytrmQAvpFrWnnnKLk4MDts3DLldcuNfCidjFeoHfEKnQ/LT6ZA7e4G/OiA6e1HUyWqD8NhwrP5oNUpnL22eMEw4qj9P3sc3m69IPX7epBg+bah7kiYTiqvarnhNTakaZqLa6Wp2gr2IeIG+u/rCN9gX+VzzYXHTxdK/b8ohCgtzgELI5CpLDo0jyZPXvY/G9W3Amh50yt0NGEWOd4fEZKkinMAC7wWY700vhamMrTwWvUr3MguuSTbBzsYKG4fUQtn8NHYuqiHA62pyVTAP1UxNsxdEvGz96uhX+OfeP7C1tsWMejPQsACFgkkqj88Dvzcg+2KTeCsqa0F5TN5+Idx9PVA0MVSZOMl+ed5khK3fhGwhCcnasnZzg2327AiKjYFtSAjsAl4l+3uEgzN2eFRB4UH90a0VhVLjwgR0IMDrqg6wuKpOBNjhrhMurqxlAryQall75in7pOOTsOH2BnQp3A5f752VOMivKI6ucHAEP6HEqXRSkTaxo+v2xp4HezGw3EAMrzjcPGGYeFR/HPHBDzuuS71+3aIkBtTlU426qoDX1JTEmImus4jr60MgjE6tC2f79YDryOuSF0uaLUnubI8OB2bSycHwl0AHChNTtqP8bkSM3XlVgZe3KbzZDxTmLLnNmX9x/psYvpPrTEbLQhSPV+NFvEwY/Nc57L7qB093Z2wfUQeuDrYaH5X5iM/ranJdMg/zmdtqHolYF6ecnoKVN1am7mwXwq+ll67XtgDlugDtF+o2nN1fAyfmAgVrI6HnFrxavQYv5s1D3KtER3qwsxWOUjh2u+pVMKTnLNi5UagzKjXoRPuTJ0+wieoXt7FG2JEjCN79L2IeJJ6Cj7G1R57BA+Hevx+sndIJo6abxFzbjAnwumrGylV4aOxwV1gB3L3pCPBCajrW3FP6BES8wkbrGkGcUlxYfiRqbqa4uZkp8dBoOlEoCm108WNugMLObGv3C8ZfnIliWYthQ+sN6TfONWQRmLPvNmbsuSXV/a51afSmuO5c5BPgNTUlK2Yif/5wTf0IxMTHYPi+4VKCuWyO2fBX87/gkfmdhNqnFgH/jKXY7XTacDidQLTR0Xl8/k9gKyVZzZQH+IxCcL2VAE84YaafnY4V11ZITpjfGv+G6nkoHq/GS2B4NFrMOoInQZFoUyEvZnauwCHcVKJTXleTK4J5qGRimrkYy64sw4xzM6RRTqs7Dc28miUf8Ys7lJS7svjCAgw5QbepdExWGkTJvGeVR1RgPJ741EDkDR+pfXsvL2QfOhRXy2bCsMMjEZsQiz6l+2BMZQpzRsWL/u7r6wsHBwcsWbIE3bp1QwK9KL69dRe8p81FmZf3pHp2+fIh77SpcP7gAzPXFA/PEAR4XTUERW4jNQLscOd5YTEEeCG1GFVrYqBXX1xFlx1d4GLngiPFBsFuOyVELUzXNHtu+k/+uXTK8MVNBHX5G/VOT0BcQhz2dNwjhaDhYhgC03ffxNwD9KWByk/tyqJbNUouyEUWAV5TU2JiJrKmDlfKAIGfTv2EVTdWwcnWCUuaLkGZ7HSS/e0iXtbOIQdDADkvWkwHqg7QvbdYSmZHjhCE0E2rduS8L985WRvihfG4w+OkmL6Z7DNJ4c4KZNb+2nnWNwCdF52UEmtP7VAOH1d550WG7iT5CQMQ4HU1OUTmYYBJxU28l8DBhwcxfH/i7aY0w4ft+Bw48zslPSVHfLfE/B66lsAJ7fBs0zUkxFnDmhKg5hw1Elk6doSVHSVjpbLt7jYpabco39f8Hu2KtkM+cqSLE+5JZcSIEZg+fTpsbW1Rb+oBFLhyEuPu/QvbFxSm09pact5nHzKYLgxT2BsuTCANAryu8tQwFgF2uBuLLLerOgK8kKpOJRYt0NIrS/HLuV9QP399zLHKBRyeBlTuB7T89T8uf38M3N5Nv5uJbn57cPnFZfxU+ye0KtzKotkZcvDitObkf25g0eHEkzXsZJFPl9fUlKyYifz5wzV1J7Dp9iZ8ezwxkemsBrOSx9JNas6XEtAt+4iOCbpSkgq6wWOvZ/K4gz8DB38CPOsAfbanEDY6Lhr9dveD93NvFMlSBH+3+BvOds66D0plT8w/eAdTd92Eo501HfKvjWK5EmPYc1GOAK+rydkzD+XmoiX07BPkg+47uiM0JhSdi3eWkqSmKDGRwIxiQGQQ0GMjUKSRTmgSYmPhN3UqXq2g21RUnHNHI+/SHbDzKpGind8u/iblDrGztsOyZsvQqBTdDn7x4k09KysrKczMhg0bsOD0Syw77oseZdwx9PImBG3ZKtVzbdgQ+ei0u7WLnvZQp9FxZS0S4HVVi1rThszscNeGnlhKAxDghdQAELkJgxEYuncojjw+knhy5OYx4NJqoNFEoA6FlkkqO78ATlNMxFoj8Wu2LFhyZQnaFmmL/9X6n8Hk4IYSkwF+t+2atEmnfTumdSyPjpUovA+X9xLgNTUlHmbCHxpjEbj+8jp67OyB6PhoDC0/FEMqDEm9q02DAe9VwAcUW7f1HP3FCaR4uDPL0fN0Yn7ERSCbV4q2/MP90Xl7Zyk0WjPPZphad6rmw7DE0+n2PsvO4PCt5yiS05Wc7rXgbK9jSB79qfOTqRDgdTU5FObBHxNjEQiPCZdu394LuodKuSrh9ya/S47uFOUyJTrd0B9wo1tAIuyYtfzT4/EREXj02WcIO0zJvKlkr+6M7AXvwKoFJfquNihFV+JG1agDo7D/4X7kdMqJswPOQnwG3i42dHrd3d0dk+Ysxc/nE5Dd1QGnxzdCyLatePrNt0iIjoZDqZLw+G0B7HLlNBY+blfDBHhd1bDyVC46O9xVriAWz3AEeCE1HEtuKWMEYuNjUXt1bYjEd2tbrkXJrRSX8D453d9NbndiHrCbrlKWaoujtQZgyN4hUmK8XR12ZUwAfjoFAeF0n7j1KlacuC853Wd0Ko/2H7DT/X1ThdfUlHSYCS8uxiAgbIVwbN8Pvi/diprVcBasraxTdhVJTojpdOowNgLovwfwoLBkGSkr2gI+B4C69PK3ISW4S6Vc9L8oJXAVcXYn1ZiEDsU6ZKRHVTz7IjQKH80+Ar/gKLSvmA8zPi6v+RcJqgCrpxC8riYHxzz0nEj8WLoEvj76Nbbe3So5tte2Wgt3J/fUn1nRhmzDQaDeOKBBYsgXOSUuNAyPhgxB+JkzsHJ0RN6ff0bmLL6JOUdylQUGkxNebMLfKcIGdt3RVXoRcGPQDcRGxaaoY03hY6zILuZsOhh2ZZpiC91QquCRBeHnL+DRsGFSMla7ggVQcPly2OXm0Jxy9GVJdXhdtSRtm3as7HA3LW/uTUECvJAqCJ+7Tkbg8vPL6LazGzLbZ8aRLkdgPZNi5QbRacJ+FD6mwFvJ527sAFZ3A/JWRFjfHai1qpYUx1043IXjnYthCQin+4TNV/D3qQfsdJeBltfUlJCYiYyJw1V0JpDkBBH5O9a3Wg83B7fU2zi3jILefkZHBsnpPux0qo4LnTpPOsUoEnqPvJTmKcakEGmONo5Y9dEqFMlaRKdu1Fj5lM9LdP39JOjAO6a0L4suVbUfo16NnOXIxOtqckrMQ86s4Tq6EkiKly5e5i5ushiVc4uEqKmUV/cTc3yI20/idHtWT1ldCWf7w08+QcTFi1JoF4/fFyUmNA0PoFMuFEomLgoYeIi+81RItb2bATfRbUc3nO9LicDj3t+lS5mGmPDTL/iylZATiH74EA/69EXM48ewKyCc7stgl4eSgnNhAq8J8LrKU8FYBNjhbiyy3K7qCPBCqjqVWKxAy64sw4xzM9DAowFm1/sF+IGuN5IjHaOu0fXMtxzpz64AC2oBTlmBcb5STMVLLy7hx9o/onXh1hbLz5gDF+EEvtnCTnc5jHlNTUmJmciZOVxHFwJ77+/FqIOjpBPtS5suxQe5yEGRVlnSHHhwHPjwewpFRo73jBYpTm9xitMbCPSiWLiF6qXaorjyL8KkHXtyDCWzlcTfH/2dehiCjMpj4ueT4rnb21pj09CaKJ03jRcdJpbL0rrjdTW5xpmHpX0CjD/eZ2HP0HZLW+nm7dAKFLKsfBohy4QoIufU/h8Ar7pA722yhIunkC4PBw1C+ImTsHZzQ4E/fodTWTrRnlTWUw6rKxsopAz123xKmm2uubEGXUp2Sb9POiWfKU9hXD6+FwULFpTqC2f7/d59EPPokXTS3XPVKthmy5Z+W1zDIgjwumoRalZkkOxwVwQ7d6oEAV5IlaDOfaZGYPTB0dhzfw9GVRqFfvk/pDi5ZejkIMWIneCf/AShOPUx9XXc3K+fYerFOfjz2p9pJzFi3AYh8K7TnWO6p46V19SUXJiJQT6C3MhrAoHk6BZOkJeRLzGg7ACM+GBE2mxCniWeEhSnDkddpZe3BgqJtWUYcOEvSupN8Xpb0gviNIqI495mcxsERwfjsw8+wydlP9G8HoUt6L/8DA7cfI6C7s5SElU3p1TiGWt+pOoeAK+ryfXDPNQ9X7UmnbjdOXTfUBx9fBTlcpTDimYrYPO+mOwLagPPLifmCBG5QtIpCXFxeDx6DEJ274a1szMKUEgXp7L0veftcvMfYBU50jPToaORdNiIwsOkVqJFLHYHh/S6TPw7vaTOnCkTJVNdj8aNG0u/innyBPd79JT+dSSHvzjpLmTiwgR4XeU5YCwC7HA3FlluV3UEeCFVnUosVqDG6xrDL9xPOq1YOSoaWEqnErPQCQxxZf/tQptg/EhxBmPplCElrdsVfBNjD41FKfdSWNNyjcXyM8XA33W6i5ACnatwSIG32fOamnImMhNTfDotp4+vjnyF7T7bUcitENa1Wgd7G/u0B3/6d2Dn50D+KsAnew0H6Ta19TfFZXehm1hjbrw3OV5SSAKRZE/IWzhLYcPJoVBLgeHRFM/9KB4HRuDDUrmwqGcljuduYl3wupocOPMw8QQ08+623NmCCccmwN7aXlq3C2UplPaIX94F5tAtKytKkvr5bbILacR4f6sFv8lTEEBOdis7O3gsWgiXGjVSti9uU02jUGTRIe/NPxIWFgZXV1fZGrF6HQ9+ypQpGDt2rLR2R/ncw/2uXREXFASXenXhMW8erGw5MbZsqGZakddVM1WsCobFDncVKIFFMA0BXkhNw5l7eT8BvzA/NF7fGDa0WT3e9Ticb+wENtDJwYIUOqYv/f93yyyKZfjqHv3tHzxx90TTDU1ha2WLE91OwNHWkXEbkYA49TOJEqkup0SqovzYrgy6V0u8msoF4DU15SxgJvzJMBSBQw8P4dP9n0qhZP5s/qd08vC9ZVlLwJcSzjWhq/41hxtKDHrhSy+Fp5MjJDII6EM2ypNsVRpFrJnD9g3DkcdHUC47nZRsns5JScNJadSWLj0KRMffTiA6Lh7jmpXAkPraf5FgVGAGbpzX1eRAmYeBJ5gFN+cf7i/dogohR7esm0lH6JbTvu8ovFh9CjO2JV1ygRs24unXiQm38/0yA5lbtEj7mQ10K+ryOqDGp0DTH1Ot94oSn2bTMwxMu3btsJwc/5no1Hv4hQt40LcfEiIjka1fP+T6gpK2crFoAryuWrT6jTp4drgbFS83riYCvJCqSRuWK0tSPN4S2UpIJ0lwfC7wL21Gy9AJwo5LUoJZSpvT+8eADouRQHUarmsIcXVfODIq5qxouSBNNHLhQPrf9utYcoxeelCZ2KoU+tZ6HebHRDKotRteU1NqhpmodbZqSy4RlqXd5nbwj/BHn9J9MKbymPcPIJTCkYlY6xRLHZ/RTamsBn4xuIni6nqvBKoOAlpMfa8sIhZwuy3tEBoTis8rf47epXtrC34a0q6kZNrjN12mFyDAX/2roWaR7GYxLi0MgtfV5FpiHlqYteqXUexvRxwYgYMPD6K0e2n81eIv2Irwlu8rCymPx9OLFF5sJoUZ6/vequHnyanduzcSYmKQfdgw5BhOjvT3lesUD35NDwqH5kE3filkzevT6W8/4ufnh9y56eavHkWcbi9atCi8vb3h6OiI4F278HjkKKmlvNOmwa0VvbTmYrEEeF21WNUbfeDscDc6Yu5ALQR4IVWLJixbjl/O/oKlV5eiU7FO+LbGt+Rsn0BOd4qDWJ3i5Db7KSWc9XT6/cr6N6cWR+wfgQMPD5iVI0PtM0J8KZmy6wYWHvKRRP2qeQkMqscnHHlNTTlzmYnaP83akG/i8YnYeHsjCmYuiPWt1qd/m+nMYmDHaPIa0EvYgQcNP8ibuyi+bmdQFrrE5N5pxNdN6njDrQ2YdGISHGwcsKH1BmkcWi/CDnyx/hLWnXuEbC722D68NvJmcdL6sDQhP6+rydXEPDQxbVUv5D/3/sEXh7+QnOxrW65F0axF3y/zK19gVnkpNjrG3AJcc6RZP5ZOot9r0xax/v7I9OGHyDdrJj2Welz2N43ERFDeKtpbU+JWfLKPwqNVTtH+gwcP3iRB1QWwjY0N4iiWfA0KZ7Nnzx64uLhIj/v/8iteLloEK4oL77lmNRxLiDwoXCyRAK+rlqh104yZHe6m4cy9qIAAL6QqUAKLgE92f4JTz07h+5rfo13RdsDGgcAlisfemK5o1h6ZktA7DvnfL/2O2Rdmo7lnc0yt9/6ThozbcASEs+XXPbcwe/8dqdFRjYthRKMiFh3Ll9fUlPOLmRjuM2epLV16fgndd3aXhr+s2TJUylUpfRR/0Q2pOxRrvdFEoA453g1dYqMSHSEivu4n+8kR8n6ZxHo5cM9AnHx6EnXy1cH8xvMNLZEi7UXGxKHDb8dx9Ukwyud3w5pBNeBoR7GMuRiVAK+ryfEyD6NON4toPIyc2q02tcLziOcYWmEohpSnW0zplRO0ju/+isKK1aHwYtvTrC3W/0eDhyD00CHYe3nBa/06WL92cKfXBdb1Aa5uIjtGt7oa0aGkd8qdO3ekU+qyi3g5QDe/mjRpgq8ptE2dOnWS7dtFQteHQ4Yg7PCRRFkpwSonUZVN16wq8rpqVupU1WDY4a4qdbAwxiTAC6kx6XLbcgiITWidNXUQFBUknSYp6V4SWN4auHcIaLcQKN8lZTNJG9zS5JzvtAxHHh3B0H1DpSR6W9qmHz9RjlxcRz6BeQfuYNrum9IDg+oVwpcUzzcpKZP8VsyjJq+pKfXITMxjbis1inhyDHTf0R1XXl5B68Kt8WPt1OPYJpMvOhz42ROII6f40JNATrIrxihregLXtwL1vgQakNMlnXIv6B7ab2mP2IRYzGs0D3Xz103vEU38/WFAOFrNPYrA8Bh0ruyBKR3KWqwNMJXCeF1NTpp5mGrmmW8/v577FUuuLEGBTAWwqc2m9yfkTsKwog3gc5Bu3JJdqpl2eJiXS5fB/+efYWVvD891a+FYnMKdyS3eq4FNFLosV1lgyNEUT127dg2lS5eW2xoc8pdC7uZDcX3uYDjZp/5y9O3T+G4dOyDvD5QHhYvFEeB11eJUbrIBs8PdZKi5I6UJ8EKqtAa4fxHb9sP1H0pJT091P5W4wZ1XDXh+A+hJJzoKN0wJSZz0ECc+PKoD/XfjefhzKY67SKR3sttJONnylXZTz6zFR+9RXHcKq0ClV42CmNSqNEVYoMC+FlZ4TU2pcGZiYR8CAw930+1N+Pb4t3Cxc8G2ttuQwzntK/tvuk4K9+JWgOLeUvz2VOLeGkTMC38BWyj0mQ5ha2acnYFlV5dJIWU2tt4oz6ljEGGN28iR28/Re8lpxCcAP7Qtgx7VtR8yx7jEMtY6r6vJ+TGPjM0nS3/6fvB9KVFqbHws5jaci3oeFJc9vRJFt5t+pvxF8THAp2eB7KmfMo+4fBm+3eiGFsVtzz3xW2Tt2jW9lpP/PewFMI2SdIMWVxG+zC1fsr9fvHgRFSvKy19lTSFsnPMURbbu07GwZyU0K0Mh0dIoYSdPURJViklPB6PSTe6q24i4tkYI8LqqEUVpUEx2uGtQaSyyfgR4IdWPGz9lOAIiMdHw/cNRLGsxKa6tVMTJxIhXdJLjBJ3oKJWyswd0YnFJUyALfaEnZ4o4JV9/bX0ERAZgZYuVKJuDToFwMTkBkUDv682Xxd4c7T/Ih6kdysHWJp34lCaX0rgd8pqaki8zMe6cM+fWQyhcS8tNLaW1fUylMehTpo+84W6npG9nKeF2Zcr30fIXec/oUyvEjxKzFkt8UsTvzZQr3VZCo0OlMb2MfIlRlUahX5l+6T6jlQoLDt3FlH9uwM7GCisHVEcVz2xaEV1zcvK6mlxlzENzU1hVAg/bNwyHHx1G7Xy1Mb/RfHk3dJISmmYlp/uIC6m+2I2PiMC9tu0Qff8+MjVtinwzf5XX9rt0/mgMPDqTamLWU6dOoXp1OoD0TrGiQy8J4g1oKiVXtyno0qoJZnZ5v6Pef+ZMvFywENaurvDavBn2+ZM7+1WlRBbG4AR4XTU4Um7wNQF2uPNUsBgCvJBajKpVO9AF3gsw7+K8/0IFiLi4P+RMlPeLe4BzKl/YX94F5nwA0IlHfP1EqjpozyAcf3JcSroqkq9yUYbA5guPMWadN+Jok9+sdG7M6loBDraWE8+X19SU846ZKPNZNIdep5+ZjuXXlsMzs6d0GtzOxi79YYk3fr+WAYIfAd3WAsXo5awxy0I6Cfn0ItBmHlCxh6yettzZggnHJsDZ1hnb222Xd2pfVsvKVhIvv4evuoDtl54iu6sDtn5ai5OoGkklvK4mB8s8jDTRLKBZ4WgXDneRKFXYGS83cqDLKVsohMyFP4Fqg4HmP6f6hN/kKQhYvhy2uXKh0LatsMmcWU7LKescmgYcoLAuxVsAXVcl+/uRI0dQt+5/4clESMesWbMiKjoKYaGUbPWdYk3JUu09yqFIr8k4+03j9+7RE+hU/v2evRBBp+hdataAx+LF+r0w0G/U/JTCBHhdVVgBZtw9O9zNWLk8NN6g8hxQF4FRB0Zh74O9GFt5LHqV7gUEPgBm0gl1a3KsfPM89VAA4hrn5PyJAxlPDnd7F/xy7hcsvbIUnYt3xoTqE9Q1SAuT5t+rz/DpyguIjotHnaLZsaBHJbg42FoEBd6cplQzM7GIqW/wQfoE+aDDlg5SvPPfGv8mnTyUVfzoyv1vNQBbx8SXtvbOsh7Tu9KBn4BD5GwpRbF8P14hqxkRl77nzp649OKS/Lj0slpWvlJ4dCzazz+OG89CUDafG9YN5iSqxtAKr6v8fcYY88rS2oyJi0G7re0gQsr0Ld0XoyvLTLAtXuzOKAGEPgN6bASKNEqBLvz8edzvTi9hqa7HooVwfcsprjPnp97AQnKq25E9E3bNjuzb67Jv3z40bkwn4Kl4eHhg/Pjx6N27N6ZNm4ZJ301K85R7nj6z8feXndGg+OtDTmkIFe3rC582bZEQFYXc33+HrB9/rLP4/IA2CbCd0abetCA1O9y1oCWW0SAEeCE1CEZuJAMEmm9ojkehj7C4yWJUzVOVrkxSHMQ/aOOamRzqo6+m3rLY6P6YG4iNBD6jTWhWT+z02YlxR8ahfI7y+KsFxdXloiiBY3deYMCKswiPjkPFAlmwtE8VZHGm+PxmXnhNTalgZmLmk95Iw0u64l8vfz3MbTRXfi9HZwJ7JwJFmwDd18l/Tt+aj86RzaJcIw50clE4QmzkvVy8/Pwyuu3sJvW6+qPVKJ1dftI7fUU11XMiiWprSqL6ipKoti6fF7O6VOBTkQaGz+tqcqDMw8ATzEKaW3F1BaadnYbsTtmlHCGu9q7yRv6UcoMsrJN403Ycrfu2DsmeezuUjFv79sj7k4xk3+/rWXzv+YWSf4c8TeHgf/bsGQYPHozOnTujU6dOsLVNtEEBAQHIly8fIiPpu9I7xcraBk7FamLY/+Zgasfy6Y45KemrtYsLCm3fBrs8acd+T7cxrqAZAryuakZVmhOUHe6aUxkLrC8BXkj1JcfPGYKAiM9bc1VNqamjXY7CzcENuL4dWEPJhfJVAgbsT7sbETIg6CHwyT4gf2X4BPqgzZY2UsLUE11PwIY2k1yUJXDhwSv0WXoGQRExKJbLFSv6VUNut/9O5SgrnXF65zU1JVdmYpy5Zs6tnvM7hz67+sDGygab22yGp5un/OGuaAv4HACa0anz6nTV39glPh6YSiEIIgMpifceOmJIL45llvFHxmObzzZUz1Mdvzf5XeZT2qh24u5L9Fx8ipIQJuCLZsUxtL5I+sfFUAR4XU1OknkYamZZTjviO0iLjS0QGBWI72p+h/ZF28sf/LHZwJ5v6MUuhSzrTqHL3il+U35GwLJlGQ8l83a7m4cCF/8Gan0GfPi9LFlHjx6NWbNnIZ5unKYsVigxYjEu/dKbwrW9P99SQlycdFpfCi1Tp450Yl+EruFi3gR46thXRQAAIABJREFUXTVv/So5Ona4K0mf+zYpAV5ITYqbO3uHQJJTJY9LHvzb8d/Ev55ZDOygK52pxClM9viiBsCT8xTLcDXVbU4xw+NQfWV1RMZFSqdUdHLQsGaMRuAmhRXoteQU/IKjkC+LE/76pBq8stOJIDMtvKamVCwzMdPJbqRhiTjgvXf1xgX/C+hYrCMm1qDT6nKLyAEyhZJpx0aknXRbblu61FtDYQNEAr0GFM6s3ljZTz4KeYRWm1uRUzoWiz5chBp5KRSOGZW/Tt7HhM1XyDFDh0EptFgTyuvBxTAEeF1NzpF5GGZeWVIrcy7MwaJLi1DIrRA2tN4gxXCXXf7qANzZCzSlkGI1hiV7LPL6ddzr0BGgl7EZDiXzdsvea4BNA4E8FShx1SFZoj569AheXl6IjY1NWd/KGq7lmmDH2hWoWyxHuu1F+fhICWAToqORd+rPcGvdOt1nuIK2CfC6qm39qVl6drirWTssm0EJ8EJqUJzcmI4E/r7+N6acnoL6HvUxp+GcxKeT4uFW6gu0otAAaZW/KYbg7d1Uh06ZVOot1eq2oxsuv7iMafWmoZlnMx2l4erGIiDCC4iTjr4vw+HuYo9lfauibH66zWCGhdfUlEplJmY40Y04pIMPD2L4/uFwsHHAzvY7kdP5/fFlk4ly7wiwvCXgQs98fiv1HCDGkP00nU7f+TngSSEG+tAtLR2KsIHCFpZ2L41VH60yu1OD35DD/U9yvLvY22D9kJoomUfPpIE6MLWEqryuJtcy87CEWW+4Mb6IeCGdbo+gl7Mz689Eo4IpY7Cn2VtsNPAzvdiNCQcGHwNy043b1yWBnOz3u3ZDhLc3MjVvhvy//mo4oYMpnMwvFDce9AbzCx/AOZustvv374/llLg1jk6ppyh0G3jYwt2Y+4m88b9YuAjPaUw22bOj8M4d+ieBlSU5V1KaAK+rSmvAfPtnh7v56pZH9g4BXkh5SihJYNLxSdhwewMGlhuI4RWHJ4qybSRwbimdEhxHpwXHpy3eFjpRcoFitTekK511ydFBJam9AWUHYMQHI5QcGvf9DoHnIVEUXuY0rj4JlhwvC3tWRm1KqGpuhdfUlBplJuY2y403HnFTqeO2jrgTeAf9yvTDqEqjdOts/w/A4WlAGTpd2JFuS5mqvLgNzK1M8dspT8W4+zolan0Z8RLNNzaXHD8z6s1AE0+KPW9GJYZCGfRechrHKcSMuOW0eVgt5MiUPN6xGQ3XZEPhdTU5auZhsqlnFh39ePJHrL65GuWyl5PyPukUHuX+cWBpc3J40x72c1r7rf8Lx/JqzVo8mzgRUqzznTthl0uHF8ZyyM6lkGUvblKC7j8pUbe8E+Y3b95EyZIlKXcrxYF/t9Ap95w1O+DRodXphpURj4rT7T50yj2aTrtn7d4dub+hW11czJYAr6tmq1rFB8YOd8VVwAKYigAvpKYizf2kRqDnzp64+PwiptadiuZetHkVZW0v4NoWoPlUoNqgtMHtnUSB3+nkSDWK0ducYvVS+fPan5h6ZioaFWiEmQ3eczqe1aEIgZDIGAz+6xyO3XlJG3srTO9UHm0q5FNEFmN1ymtqSrLMxFizzfza3XZ3G8YfHY9M9pnwT/t/EvN66FL++JASb58GWtONqQ/IlpiqSAntSlFCuydAz01AYUqiqkOZd3EeFngvgGdmT2xqs0m30AY69KNU1cDwaLSbfxz3XoRJSbRXDagORzvOs5IRffC6mpwe88jIbLKsZx8GP0Trza0RmxCLJU2XoEruKroBODAZODQFKE0x3zvRAaHXJfblS9xt8RHig4KQa/xXyNbLCDZoJ4UsO70IqPIJ8NEM2XK3p8StW7duTfWUuxUlfN164gpaVpaXZyPs5Ek86EO3kOlFg+e6tXAqbT4Jv2UDtZCKvK5aiKIVGCY73BWAzl0qQ4AXUmW4c690SoIcFLVW1UJITIgUO7FY1mKJWJZROABfCgvQ/g+gXKe0UZ2YD+z+ik4yUhzFjkukesefHMegPYMkp8W2dhRPl4vqCETFxmH0Wm/suERXY6lM+KgkPqlTSHVy6isQr6kpyTETfWeTZT0XHReNVpta4UnYE4z8YCT6l+2vG4CokMT47Ql0bf6zS0BW+v+mLJvo5a/3KqA2ncpvPEmnnkOjQ6XwBq+iXkkx60Xsel2KsKcJURS/XiRwJSeIlYODbic2delMz7o+z0Mlp7tIot2qfF7M7lJBdTLqOTRFHuN1NTl25qHINNRkp+MOj8POeztRK18tLGi8QPcxLKGQlQ9OUEjLWRTSss+b5598NR5BmzbBgU6Te5Ej2spWh5jwcqW4TiHL1nQH3IsCw8/KfQpnz55FlSppvFigJBt1unyKwyspRKfM8njM5wjesQOO5crBczWFQnvrlL/MJriaBgjwuqoBJWlURHa4a1RxLLbuBHgh1Z0ZP2EYAv7h/mi0rhFsrGxwuvtp2Iur+KL8VgvwuwL02AAUaZx2Z5fWARvphIdXXaB3onPdL8wPjdc3TtmmYUTmVgxEID4+Ad9vv4Zlx32lFj+p7YXxLUqSn4jiUmq88JqaUoHMROOT2kTir7y+EpNPT0YOpxzY0X4HnGyddOv5FuX0WEm5PbJ6ksPdW7dnDVH7IjnbN5PTPe8HwMADslqMJwf5uXPnEBkZiV0+u7Dy2kpksc+C/9X4n2THRMxdUeftf6OfP0f47TuIenAfUX5+iH7xErGhoYiPi0UDV1fktLWDlb09bNzdYV+gABwKF5KcIs6VKsHew0OWXMaqdPzuC/RafJqSxCZgRMMiGN2kuLG6Mvt2eV1NrmLmYfZT3iADvBlwUwpbJsralmtR0r2kbu1GhSbGb6dE1xhxEcjmJT0fcfkKfDslHhISDminCpTY1BglIhCYSn0m0MvVUdcAN/m3RBs2bIjDhw+nesrdxikTXvo9hVsmF1lSx/j7w6d5C8SHhSHPD/9Dlo66vSSW1QlXUpwAr6uKq8BsBWCHu9mqlgf2LgFeSHlOKEUgzdPoM2jzK67lDyCHRT5yXKRVfA4CK9oAOaj+sJNSrTRPzSs1SO43TQJCVwsP+2DKPzekOh+Vy4MZFGJG62EGeE1NqXJmwgtBegSi4qLQYkML+Ef44+tqX6NLiS7pPZLy77so58fJeRRKhpJot5Z/Uk/3jtJ4Ipjs1i9kjygmLr64BzhlSbfpzZs3o127dunWk1thTI4c6J/NPc3q9l5eyNSoITK3ag3H4q9vlclt3ED11p55iC820A0EKiKsWMdK+Q3UsmU1w+tqcn0zD8ua//qOdvTB0dhzfw+aejbF9HrTdW/m9h7gb3IuZykAjLz85rvH/R49EUEvTzO3aoV80ygkpjHLogbAk/NA29+ACt1k97Rv3z40bpz6QSZrcriv3XMSHWpRaDSZ5eXSZfD/+WfY5KAEqv/sgo2rPGe9zOa5mgoI8LqqAiWYqQjscDdTxfKwUhLghZRnhVIE/rr2F34+83PKeOs/5AJiIxNPKIqTimkVv6t0Gr5mYtKiL+6+qdVjZw94P/dOHhdeqUFyv+kS2HThEb5YfwkxcQmo6pUNv1MyVTdnu3SfU2sFXlPZzqh1bqpZrtU3VuPHUz8il3Mu7Gy/878bT7oInXQ7SoQYE6HGlChzKHHqS0qi1/lvoCSFR0unBFGs3wJ0Cl2sGxkpNjY28CpYEOdPnYKzo6MUQziWTsJH+foi6uYtRFy8SCcwyTkUS6cyXxfHsmWRrWcPZG7WTDoRb8oyddcNzD94V8rlsbxfVdQsbH4JtI3Nk21NcsLMw9gzTvvt33p1Cx22doAV/W9j640oklVezPJkI9/9NXBiLlCxJ9CG/qUSvGs3Ho8cCStaewv/Q4lS8+QxLqykHFbl6MV0+4Wy+xIHXSrRTSdvb2/p5pQo7jndUaXNAFx1rYy2VQphdteK8tujBKp36QVDzP0HcB88CDmJARfzIsDrqnnpU02jYYe7mrTBshiVAC+kRsXLjb+HwHcnvsP6W+sxsNxADK84PLFmdDjw0+uN6pcPAcfMabcQ6k/H4yiGIW2c8c0LwCYxVuKk45Ow4fYGDCo3CJ9W/JR1oAECx+68wOA/zyEkKhaFc7hgWd+q8MjmrAHJU4rIayoz0eTEVVBoEbtdxC/3C/fD+Grj0bVEV92lCX1O9uC182QsvYB1UciBu2MMcIbyj1QdCLSYJmsckydPxtdffy3d0NK32NnZSTF6y1HomLRKXEgIwo4eRRDF3Q09dBiIiZGq2pJzKPv/2bsOsCiSJfwTBROKmBUR86mnZ845ZwXPnMMZUE/MenrmrGfOOWAAxIyKCXN4Z84RA4KCoATJ+KoH8Vh3kd2dGdhdut5337tjp6u7/+6t3qmu+mvgAGRzIEdUKjneGa3YsN03hVoeWSxM4T64BornzqLt9NNlO37WKC47xyNdfg00mvSos6Nw4tUJNCnUBIvqqV9wVKGTNbUAf7q8dNgIlHVEPNXOeNGyFWLevoXNkCHIOfzb+4xGI9Pw4eeUAby9HZCF3pecH9JrkPp0jIlZVTkK5IBFMws0aNMAI8stFeprZDQ3wb9/NYYl/b+6EuLlBd9hw4W6IcJlQ7586jblz+kBAtyu6sEi6ekQucNdTxeOD1tzBLgh1Rwz3kIaBHp69sTNDzcxr/Y8tLBvkaD0EznZl5Shom/kPGdO9J/9iIynwnjTWeo8OSlGU0Rh5lyCim33t2HB/xagcaHGWFxvsTSD5VpkR+CRfwj6bL4Ov8+RsMlsjo29KqNcwZQpGWQfmIYdcJuqDBjHRMNNlM4e3/t4L2ZcmYFclrlw1OEoMphk0ByBe/sAtz5ArtLAkEuat5eqxYODRAxMkY85SxLV2VW1tIYR/zqLcg8ODlbreVUPrVq1CoMHD1a7fWxQED7tdUXwzp1CJDwTRjeT+69JyFyT6qikgkTGxKH7hqv436tg5M9mCY8hNZArq0Uq9GwYXXC7qriOHA/D2NdyzeJp8FN0ONhBUO/exh3Fs2tBqfUlKIE/ncm3947A9esRsGgxTHPlQpFjnjDOmArBIjERCQXCiYoNTlQ41YYFH6kvDx48QDb6fd1qP10UxMdgU5NNGLU9DK+DvmA5RbizotbqCrsoft2zF75cv46srVoh/0L1LprV1c+fS1sEuF1NW/wNuXfucDfk1eVzU0CAG1K+IdICAfYDrdbuWgiJDoFbazeUsP5WOM2PaGTWUhHUzEQrM/pJykObRz98I+gH8BDicM+VUPjoou9FDDo5CIWtCuNgO3J+cNEbBPzJ2d5ny3U89AshLndjLOn0G5qVyaM342cD5TZVebk4Jnq1hVN1sDFxMWjp0RJ+4X4YX2U8upXqpl3/R8cA19ZpFFmuXUcptAqni+IFRRIeYjzuGa3V6mbR3LkYM2ECuz7WSBiVTGtK6d+3bx/dT6sf5ZjYCYvOZI73wDVrEPfxo/DnLE2aIPf4cakSqRgcHo0Oqy/hZWA4SufLij1/VEfmDAnZalx+jgC3q4r4cDz4N+ZnCIz2Ho3jPsfFBeM8OgrspgwsG3LWO11HbGAgnjdtllA4dO4cZGtHUeepJZuaA6/pcrk11SupSHVLtJCZV2Ziz+M9qJKnCkpiDFaeeY5GpXJjQy+iRtNAIu7fh48jFYyldzu7PbthWa6cBq35o7qMALerurw6+j027nDX7/Xjo9cAAW5INQCLPyoZAgFfAtDAtQGMqbjctW7X/otoTEyTTFII9aedLq9IfLnPgN70I9guISrPP9wfjd0aw8TIBNe7XSeOWP3lA5cMcD1SFEa0Mk4uN3D2cYCQ4DCxeSn0r11YK2dSWkyb21Rl1DkmabET9aNP1yeumH55OnJa5oSng6d20e1sqqspzf89pfk7bib+9oQoxjSTFZWBQLow7uwClGyZ4jC+UKG9F2PGou45bwTFUeaWmmJsbIw8efLg3r17yJ49u5qtVD8WRxzyActXCBHvRO4LI0tL5J4wHtk6dpTd9r76GI4ORGfwkZzvdYrnpOymSnRuU+FZLj9FgNtVRXg4HvwLkxwCzz89R/sD7elC86tikI+mkJ34C7i0/Hthbv/p0xHssgsWZcrAbu8eqpedinbr1HTgPNHilKMLgPZrNJ2J8LxfmB9aeLRAbHwsZlRZhT+3hgh1Na5PaoRsGTWr6/FuwkR89vCAZfnyKLTLRfZzQ6sJ80YaI8DtqsaQ8QZqIsAd7moCxR/TfwS4IdX/NdTHGVzxu4IBJwagUNZCONz+8H9TuOdOtAB9gULkPO9DTvSUZGMT4A2l7XfaQQXqWgtPs+j5GrtqICwmTCiKVCy7ZqmWKXXJP5cfgdi4eEw9dB87rrwWOutSxRbT25bWCycMt6nK+4NjIv93Rh97YKnsrfa1wrvwdxhXeRy6/9Jdu2lEfALm2THrD4x6TCHaaZwVc3A4cGMrUJ1qiDSdleycvhKHesDSpfi4kYq80rm1i2jSZj59qnaUO3O4nz9/HjVqUPFwiSTy8WP4z5iBiP/9K2jM0rQp8k6fBhMrK4l6UK3m9ptP6LzuCiKIZqZDhfxY1LEcd9ikgDi3q4oAcTxk/YrqtfKx3mPh6eOJhrYNsaT+Eu3nsr4h4EsULu3XItq6Jp43JzpMKkRtu3UrMlWtor1ebVo+PQnspOLg2Yha5s872mgQ2rALb3bxXTVvVbx72AsPKMN0Zrsy6F6N9GogMe8/4DkV4P4aEYH8y5cha+PGGrTmj+oqAtyu6urK6P+4uMNd/9eQz0BNBLghVRMo/pikCLg8dMGca3NQv2B9LGtA6ZCJcm09cHQ0RQW2ouhAirRLSVw6A088KaVyKaVU9v7+dLej3XAn4A4W1F2AZnbNUtIiyef+/v5wdnbG6dOnEUT8uDY2NsJ/jx5N85FIVq5ciQULFoD1VY5SNpcvX44qVX7+I//cuXNCm38pitLPzw8eFIHSLkna69SpUzFt2jSFEZYoUQKPHj36/reUdEg0PQU17OJk44WXmHX0IfNFoVZRG6zsVgFWlrqdscBtqvJu4JjI8Q3Rf50Hnh3AXxf/Qg6LHDjmcAwWplrydz/1IseDI5CdKMZG3Ep7YG7vBjz+APJTWv6AUyrHE0t87b5/jsSXqwk871YdOiCb80gUpaKnzL6rU0CV0cnkIt5gqc+ZFStWYD6dC+/pHCtBhfCm/FIaLdauQcZKydMMrF69GuwfHx8fYT6lS5fGlClT0Lw50R6QqHOG9HIajW0rFQsZ/ngWpf3i6s4IuF1VXAuOh+7sTV0ayauQV2jt0VqIbndt7YqS1lRfQxuJDifedFvKAIqlc+YOfOesRMjBQ8hENS9sN1Kh7NSWyBC6aCan+Nf4hMKpWdXnXU861Hdh7wRaNxbl7ph3Ljafplqw2eOR5fYujd9nPixZgo9r1sK8aBHYHzgAIzqjkhNt3mdSOmdS+jxxLNr0ndrLqyv9cbuqKytheOPgDnfDW1M+o2QQ4IaUb420QGDO1TlweeSCPmX6wLmi839D8J4PnKGIwAo9gTaUtpmS7B8C3CLHfMO/gdr/6Zl0YRIOPj8Ip/JO+KMcOT5SQdq2bYsYilicP3++kN7//v17fPr0CQ0aNFDZeyxFxZiaqs9Vu2fPHvTs2RNriGu3atWqWEI/bF1dXfGYIhKZ0yU58fT0xMWLF1GxYkV0IKeOKoe7m5sbTp6kaJlvwsbFLgwSJSUdcsLr9eA9Ruy+iS/RcbDPmQmbqJiqnU0mObsUpZvbVGX4OCaitpRBNo4nJ0GHAx3w/PNzjKw4En3LUGaTtnKSLgwvUIHs8sT/3m6Vtlqkaxf8Clj6a0Lx7/GUpWOuaK8inzzB2yFDEfP2rVBgj3H/ZiXedCbr1q3DH3+kfGZVrlwZ7u7uCKCCp3KdM+WyW2O+01B40kXtkaLFUJouZrN37qQSp0OHDoFdABQrVky4LNhKEZ/sovfmzZuC812dM4Rd/m7cvgtoPlnoY1ST4uhew17hLJJukfRfE7erimvI8dD/PS3HDKZemgr3p+6oU6AOVjZcqX0XL7yBbW3IsZ0fkS098LJd+wTOcvr9bFmGinWnhaypTTyaFN3usJG85HTprKVMuTgFHs88UD1PHXidbYH3bjNQzc4Ky/5ZpNH7DKMme9a4CeI/f0beOcRp3141p7227zMpnTMpfc7g0bZvLaHV+2bcrur9EursBLjDXWeXhg9MagS4IZUaUa5PHQQGeQ3CxXcXMbX6VDgUp5TIRPEcD1xdDdT8E2isGHWtUm8in+IPqfsb7m7A0htL0cq+FebUnqPOkEQ/04xSKV+9eiVEGzZq1AiFC1O05TdhUX/sv9kPPRaVfu3aNezatUtwgKsrzMnOnCws+pBJPPHsFixYEMOGDcP48YSbGsKK6qlyuO/fvx+3bqkXGapKhxpdi3rk/rvP6L/1f/Cjoqoswn119wqoUeS/CwFRyiVuzG2qMqAcE4k3mQGoO/P6DIafGY7MZplxwvEEsphn0X5WmyiL6fVluqQl21ihh/Z6pGrJUnL+IQdMiC/Qkwp329f9rjn09Bm8o6yn+C9fYEb2u8DKFbAoTgX4vgm7tC1SpAjekjM+uSh3RiUzb948ODg4yH7OxIaGokC+fOhqYYkBOXLAuldP5Bo79qeRi4lzsba2Fpzu/fr1U0A2uTOEOdzZWdR/sSsWnkgomr60c3m0LZ9fqpUxKD3criouJ8fDoLa3JJNh9aKaujcFoy/b0mwLKuamuk/aytm5wFl6nyjjiDenLRBG2ayMcqvAUhEUNdqOJbGd5zh6ZyL+9sr9gZaK2UGaqH75+SXa7m8rZAEUj5mKo7NnwyruE2b8NV7j95mPGzfiw4KFMM2XF0WOHYOxuTIXvBTvMymdM8l9LmXfmmCsr89yu6qvK6f74+YOd91fIz5CiRDghlQiILkajRBo7t4cb8PeYnPTzaiUJ0mauvsA4O5ecrbPIKc78eCmJOcpqvEUOeZ/iGz0euUF57POKJOjDHa1oog5mYVFqzNHeP369WFFXLfs359QFKOLiwsyZ86MA5RayWhcKlFK/mz6Icuc7zlz5gRLa2T//TN58OCBUBgvI0VCskj0pHQwvXr1EqIbmX51JDmHO3OKsHFbWFigevXqmEORKba2lDqrQtLC4c6G8SE0EgO3/YtbxPVramyEacTp3q2qZhyT6mAk9hluU5UR5JiI3VWG177H0R64FXBLiGxnEe5aS0wkpfkXBOKigWE3gBxFtFYlaUM3cjLfcwPqTaB/Ei5EP3nsh9+kSUJR0ox0gZp/yT8wVVHslEWH9+7dO9nhrFq1SqBqSc1z5gNdyC6OIoxJMtWtg/yLFsGEzjZVEkeFX1n2FTufWIT7L7/8ovDYzxzuiWdRRLwJomktber1xrYRLVGXiqlyUUSA21WOB/9O/ByBf/79B5vubUK5nOWwvfl2cXUhtlJ0+0tvfCnmjFcziDaMLj7tDx9CBnv7tFuG+/sB115ALrrgHXJJ1DjYOxN7dyqTpT6Or4xEkXJVsHdYQ+E9RdP3Gcbjzi6MBWd7kkxeKd9nUjpnVH0eHR0tybuUKKD1rDE/Z/RswfRouNzhrkeLxYcqDgFuSMXhx1trjkBMXAwq7awERilwuuNp5MyY5EV6B0W7PyNqk7aU9vmbGgX0/qXCdIfIMV+cIhy77vk+mKfBT9HhYAdkMcuCi10uivuRrcYUhw4dKlDHsIjDRLGzswP7+5gxYwSOdOZIuHfvHtjfE4VxvbN/fibs+Q8fPiB//vy4dOmS4BBPlLEUaejt7Y2r33iAUxqqKkcHS/UPCwsD48plHO9srL6+vsJYs2RRjjpNK4c7m1skFdQb534HB269E6bas3ohTG71i04VU+U2VXkXckxS+mamr89vvL+BXsd6wczYDMcdjiueAZpC8YqcDJuJJzwTnSOjn4KMvaYa5Hk+sR5JYYpu73UQQTt24v3MmUJfVg4dkJeiuY3MVNejYBe4zB6zzCiWyZRUGHUZiwJPi3PGa9p0vKNsqq+RkchQqhRsN6yHKUW9J8rdu3eF8ymSPmcXzezCuUULKir4gyR3hiQ9i3x936HviHEIeO8H+z/WYLdTfVSwzS7PWumpVm5XFReO46GnG1mmYYdGh6KJWxOExYRhWf1lqG9bX/ue6L2F8bd/jf6C148b48ut+7BydEC+bzZde8UiW4Z9ABYWIyV07o17CVhqbyPvB95H5yOd4bfdDxly9IBZ4UbYN6SGYHc1fZ/5fPgIApYtE4ptF9q6RaBOYyLF+0xK58zPPn/37p0k71IiV02vmnO7qlfLpVeD5Q53vVouPlgxCHBDKgY93lYbBF58fiGkLmY0zYgrXa8oOsPX0Q/idxSl2Jmi0ksqv6gr9ffwEBHykWO+ABUO7U+F875JVFwUKu+oLKRHnvn9DGws5aMfYVQsdevWRWBgIMySOFBYUdOGDRti8eLFAnUMix5nDghtRKofieo4y1nEfKFChYRx/0gFwMaujg5t5qhuGxY1s+rscyw4/lhoUt0+B1ZRMdXsmZTTVtXVKeVz3KYqo8kxkXKH6b8up1NO8H7rDYdiDphaY6q4CZ1bCJymjKhSFH3Yabs4XVK2fn8fWF0DMMuIwBxTELAkoTi4QMlCTmtmR38mjHKsa9eu/z3y7fFLL+jS1e6/S9fUPmci7t7Dm8GDEUfnnTlFdtpu3gSz3LmFcbLowdevX+Mz8feybKwNGzYIF8LqRrj/iMeHwCAUoEyrLHX7oUC1ltjzRzWUzJNVylXSa13criouH8dDr7ez5INnke0swr2IVRHsa7sPxkbG2vfx9l9gQwOEfbTGGy8LGFHkdpHjx2CWN6/2OqVquawCEPQc6EJBRyUo+EiEdFjdAQdGHUDjVU549KgJula1xez2ZaHpOfOVqNGet2qFmFevYTN8GHIOoXpb30Ts+0xK58zPPhfbtwho9bYpt6t6u3Q6P3DS6raTAAAgAElEQVTucNf5JeIDlAoBbkilQpLrUReBs2/OYtjpYShlXQp7WxN9TFJZWg4I9gH6Hgdsq6Ws0ucisIUc89ZEIzCcHPVJpJl7M/iG+SrT1qSsVaMnJk+ejGPEU3j9+vXv7cLDw4VCbyzlnzmt7ckxwXjWBw4cqKCb0cmkNaWMqskyrnjGQ8+oZX6UtHa4J47nxH1/jNxzC+FUTLWgtSXW9aiEUnnT3hnDbaryjuKYaGRSDPrhxOwjI4rIO9juIOys7MTNdwcVintGl63NiF+32mBxuqRszSLT5xdGwPU4BN5PyBSyIaeDzTCnFJ3t7FkW2c4c1U+fPhVS841MjGCWxwwDtw7EsgYJzvu0OmeiXr7E6z59EevvL/DQ227eDPMCyjzr7AxhfPRr165VQFaTM6Qi0bCF5SiFqN86I2eWDHD9o7pOF82WcgulpIvbVUWEOB4p7Zj08zkLumHvAIERgZhRcwbaFVVdvFNtRC4tx9fjf8HnXBFE+kXQxWkv5J6gXu0ktfvQ9sEDQ4GbO4iGcwTRcU7XVovQrs/IPthzYA9KTiuF4EdjqcZKNpz9szoK5M2t+fsMUYvFR0UJ552RpaWgX0pKmcSJJnfOqPqcU8povj24XdUcM95CPQS4w109nPhTBoAAN6QGsIh6NoWt97di4f8WoqldUyysS9GJSWUO8YZHfQaGkvM653+F5JKd4odHwKqqCWmU43wUHht0kgqz+l7E39X/hmNxcsrIJE5OTjhNxZPYD8lE+eeffzBx4kSwaAoTExNky5ZNoH1hjuykoi6ljClxILJCP1WqVBGKrjJhDhnGs876F1M09UdYGL0M08sK2A0frsyjr4mzRCbIv6t97B+KAdv+h9dBX5DR3AQLO5ZDi7JpG3HEbaryqnNM5P4m6I/+SRcm4eDzg2hcqDEW16MaHGIkPg6YZ0dnRggw0BvIV16MNsnbfnRqgA8n/QS9uYhaLEe/vhr14e7uDkfHhLOrdsPauPbwGorNLgaPNh4omr0o0vKciX7rS073Poh58wamVGOERbpnSFIonI2Z0ayxs2TLli0K81b3DEk8i8ZNnIwzphXxiOx9/myWcBtcHXmtEhw46Vm4XVVcfY5Hev42KM7d7Ykbpl2ehtwZc8OzgyfRDqqm71IbsV1dEXr6JN6ezyHQoxQ56QVTKgqtE3JzJ3CAIsh/yPTVZmyMBnPHoR2wnWEL89DG+Pi2IRrGXofLynkav898pXeUN4MGI5qo0bJ3744cPXsIlDJSvc8kzi+5cya5z6V4l9IGW31tw+2qvq6c7o+bO9x1f434CCVCgBtSiYDkatRGYPrl6XB94oqBvw7EsN+G/dcuLhaY8Y0PdgylR2ZSgwYmKX/hlI9UxMjku7651+Zi58Od6F26N0ZVGqX2+DR9cPv27ejZs6dAwdKKUihZtDvjbWeF7fr27Yvz588LjofQ0FCBVkZb2bNnj1CEjkULMsf7kiVLsHfvXkr7fITc31L6WUS9h4cHTp069b0b5rR49uyZ8N+//fabME5W3NWaXhaYM2T06NFo3bq1QCPDLgj+/vtvMJocdoHACrsySUmHtnOSot2nL9FwcrmJC88CBXVD6hXBqCYlYEKFVdNCuE1VRp1jkhY7Uff69AvzQ4t9LRD7NRa7Wu5CGZsy4gbpfxdYUwswp+Kd414BJqbi9EnYOphss/+UvwWNORvmg83K/2yyut2wS1UWvVehQgUhpZ+dM3m65EH71u1RKrBUmp8zx1x24TWdcdHPn2PJly/o9M9i2FesKJx1jD5t3rx5OH78OBo3bqzWGfKzs+irRRZ0WnsFLwPDYZ8zE/ZSpLtN5gzqQmmQz3G7qrisHA+D3OYaTyqOLmLbHmiLVyGvMKbSGPQs3VNjHQoNKMPo6/wi8NlvhMhgc+QYMAC5RjmL0yll66AXwLLf6P2HLhUmvCEaM+0vIxPfZ9g5Y10+N/y8KuHz2e1Yv3a1Vu8zIceOw/fPP2FM9aCKnjoJk6wJWajavs9MmDBBKBjO3l1UnTMpfa5u31Iuj77r4nZV31dQd8fPHe66uzZ8ZBIjwA2pxIBydSki0O94P1zzv4ZZtWahTRHi3U2UsAAq/lM04b8mk/NcHecJK2Q045tjfgz96Mz0XwG33Y92Y9bVWahXoB6WN0yICpdDWLo/o4VhfLUfP35E2bJlMWnSpO/F4pgTfM2aNUIRUrHCdLHiq/6Uyl++fHkso6JELFojUVhUOosmZMX2EuXs2bOCg/1HYc579mznzp1x7tw5YezMwV6rVi3MmjVLoAJQV4fYeYltHxsXj/nE6b7uHO0BkjrFc2JZ5/LIljH1ed25TVVeTY6J2B1uGO3nXZuHHQ93oEqeKtjYdKP4SV0nHUfI8WFfjyooHxCvTyINn48cwbvRY0BcMMhRKhS5alLBuFFUc0JEQVd2zgybNAzr1q9DXFgcKpaviKmTp6b5ORNL58arHj0x9tJFXCX6gAC6JLCiQnm//vorxo0bJzjbmaR0DrFnUjqLfD9FoOPqS3j3OVKgD9s1oGqa2HiJtoloNdyuKkLI8RC9pQxCgdcrLzifdUZW86zwcvRCRqqjIUo+Pkfo+OpCdDujRil6+hRMs2tfnFTUWFQ1prMBCykjOJwKqKpLx5nMINg5M3PWTMxZPocSx6Jgnjsvslbpj5vrxiEfZRdp+j7Dotxftm2HKKJGs6Ho+ZxEqZYo2rzPMIpOFlDk5+en8pxJ6XN1+5Z8jfRYIbererx4Oj507nDX8QXiw5MOAW5IpcOSa1IPgUaujfD+y3vsaLED5XISZ3uiBJBDYiUVP7XIBoynaEV1JZGGxul/RJJb7HurK35XMODEANhltcOh9lRclYvBI3Dgli/Gud9BZEy8wOu+tnsl/JIvdXnduU1V3mYcE4P/6qU4wc9EFdbYrTEiYiOwptEa1MxfM8U2KT6w7w/gzm66YRtL/CWTUnw8NR4IO39BKCqK2Fhk+90ReUxWwYgi+jHiNpDdTvQQehztgVsBtzCg7AAMr6BM+SW6Ay0UxLx/j1fduiPm7VtkKFYUttu2yeaQYhHuHddcRmBYFMoVsMKO/lWRxUIkXYQWc9aFJtyuKq4Cx0MXdmXajoE5jLse6Yp7H+8pZ9FqObSvN13gM3QyIoPMYU20YLkpg1XnZHc34NFh4nCnAuI1xZ8LiQFLZvE2CHrsjFGNS2JYw//erzSZ//co98yZE6Lc6UKWi/4gwO2q/qyVvo2UO9z1bcX4eLVGgBtSraHjDbVAgDlbquwkpzrJ+U7nkY051xPl1SVgc3MqgGpPBVBvqq99KfH2Br9UiuzwD/cXHDymRqa41v0azFi6JReDR+DBuxD8seN/eBMUAQszY8zpUBbtfyuQavPmNlUZao5Jqm0/ne1oze01WHlrJUpal8TeVnvVKhya4mRYGj1Lp+/mBhRLiKROS4l88gSvunRFPBXNztqyJfItmA+jDQ2Bd1TQu8MG4NeOood38tVJjDw7UrroTdEjSlAQTc72V127IfbDB1iULg3brVtgQg4WOYTV7ui87jKCv8SgUqHs2Nq3CjJl0B06ITnmrEont6uKqHA8Umvn6W4/V/2uov+J/shgkgHHHY4jh+V/Wa/ajjpsfje82XQDRlQnqOgZb5jmEK9T27Ek2+7CEuAkUZiVbEWpQsTpLlLYuxp7f2IX5RFvuyGvWRV4j64PYy2oGoUo93btEUXnIyscnnN4EipRkePkzeVHgNtV+TFOrz1wh3t6Xfl0OG9uSNPhoqfhlB8HPYbjIUdYZbDChc4XFEfykKIz9lCURv5KwAAN+G7XNwB8/6Ufmbvox2aL7zpZpEtVl6pCROWhdodgZ2WXhjPnXacmAozXffjuWzj3hGiKSHpUK4TJrX6Buamx7MPgNlUZYo6J7NtOpzuIiotCE7cmCIoMwrza89DC/j87rfXAw6lmw4JvtFesYDYrnJ2GEhsQgJedOiH2nR8yUnFs240byEFDlFae44Cra4AqA4EWC0SPkPETt97fGm9C32BS1UnoXLKzaJ1SKYgiLvdX3XsgLjgYmWrWRME1q2FkJs9F9z3fz+i6/gpCImNRzd4am3tXgSU5xNKTcLuquNocj/S0+1XPddDJQbjoexGdSnTCX9X+Eg0Ie4/wqVcWke/jYN2mNnLPXydapywKEgOWMucWTV+WOL5lN5Zh/d31QGQhhL4cjJ2UTVSzqBq1tVRMMOT4CfiOGAFjHuUuy/LLqZTbVTnRTd+6ucM9fa9/upo9N6TparnTfLInfE5glPco/GrzK3a2/CEK48Y24CBFPhRrQhGLruqPdYcj8MwLaLMCqNBDoV3HQx3xKOgRljdYjnoF66mvkz+p9wjExX/F0lNPsYz+YVK+YDas6lZB4KGUU7hNVUaXYyLnjtN93R5PPTDl0hTkzZQXRzschamxBNHIjz2BXeRstikBOF1LUxDiIyPxqmcvRN65A3MqPl1o967/KFXuuQNufYG8lIn1h7ck43R56II51+bANostDrY7SAWidcfRHHH3HmHRE18jImDl6IC8M2ZIk82gArlbbz6h+4arCIuKRS1yBG3oVYmymnQHC0kW+ydKuF1VBIfjIfeO0239Lz69EIqlGtH/jrQ/goJZC4oecNjpE3gzZASMTOJR9PA+mBYuLVqnLApiIoA5lMkZz+jL7hB9WSHR3QRGBAoX5THxMQj3GYwWxaphRdcKWunlUe5awaYTjbhd1YllMMhBcIe7QS4rn5QqBLgh5fsiNRHYcHcDlt5Yitb2rTG79mzFrhNTIn8lJ0qHteoPK5HHt/F04i4codBujPcYHPM5hlEVR6F3md7q6+RPGgwCpx+9x8g9t/E5IgbZM5phaeffhKKqcgm3qcrIckzk2m26r5dFCDoccsDT4KfS2uGT04ALi4HfugNtV6YZEMyR4Os8CqHHjgnctHZ7dsPczu6/8Xx6AywpA7BLhvH07+YiC/iR5i8xX4R0/5DoECypvwQNbYm2Rock9MwZvB1KxfEIm5x/joDNoEGyje7fV0HoufEawqPjULuYDdb3TD9Od25XFbcVx0O2r5leKJ5+eTpcn7iiQcEGWNpgqegxs7PrVfuWiHj0EtZljZDb9YFonbIqWFc/gb7MgYqJl6VAJAlkysUp8HjmgZiQ0oj374UrExvCOhNlbmkhPMpdC9B0oAm3qzqwCAY6BO5wN9CF5dPijhC+B9IWgckXJ2P/s/0YWn4oBpX74SXcawpwkX4kVxsCNJuj/kCPTQCurEpwtjOnexJhnMGMO9ihmAOm1piqvk7+pEEh8CboCwbv/Bf3fEMo2hIY1qAYRlABKBMt+ChTAob/OOXnTEp7JD19nli82tLUEl6OXgKdmCSyhbhqfc4DrZcBFXtJolIbJYFr1iJgCfHnEnUKo5HJVCWhRsl3IacNFpcCQv2A3kcBOwmKxZJydnHNLrAr5KqArc23ajN0WdsEubjg/XQq4EeSb/48WLVpI1t/114Goffma/hCTnd2mbquR8V0EenOzxrFLcXxkO0rpvOKP0V+Ei4hI+MisanpJlTOU1n0mMMuXMSb/v0puv0rio6uBNM+O0TrlFWBxPRlbKzPgp+h/cH2wFcjhD0fjUlNaqF/baqzpYUIUe7tOyDq8WPYODkhp9NQLbTwJqmNALerqY14+umPO9zTz1pLNtOVK1diwYIF8Pf3R7ly5bB8+XJU+fHFK0lvrq6umDx5Mnx8fFCsWDHMm0e8pi3+4zXdt28f1qxZg3///RdBQUG4efMmypenlOQkEklpzKNGjcLu3bsRFRWFpk2bYtWqVcidmzjc1BRuSNUEij8mCQI9PXvi5oebmF9nPpoXpgKpSeUARcTd3A40IN7FOmPU7+8c8eKenkmRjkQn05ZoZZLIkRdHMP78eJ11Sqg/Sf6kWAQiY+Iw/fADuFx9LaiqWTQHlnT6DTmzZBCrWqG9nDaVnzOSLhVXlgoIOJ1ygvdbb3Qu0RmTqk2Spsc4SpufS3QBFOmNIVeAXOTQTgMRHDIDBpAz4ivyzJiO7B2TKYq6h86mhweBRlOBWiMlGemHLx/Q1L0pYolCwKWFC8rmLCuJXimVvJ+/AEGbNgmXEYW2bkXGClTkVia5+uIjOd2vI4LsfHqJdOdnjeJmkhMPmbYtVysRAonZs6WsS2FPqz2iaayE6HYqAh1B797Zi4chz0Q6u6rJl6kjCQx3qXi4ez9J6cvYuBJ58aODqiN/fFeccq6rNb4hnp7wHekMY8oGK3rqFBXWziTJ1LkS+RDgdlU+bNO7Zu5wT+87QMP579mzBz2Js5I5yKtWrYolFO3EHOqP6RY3V65cStouXbqEOnXqYM6cOWjVqhVcKBKIOdxv3LiBMmUo9Zhk+/btePnyJfLly4cB9EKnyuE+ePBgHDlyBFu2bIEVHV5OdGNsbGyMixcvqj0DbkjVhoo/KAECdffUFQrnsR/Ev+T4RVHjbiqY+ogKp7YkmoDK9KNRXblO6ZNHnKlgKkU8dlbkhb8feB+dj3SGjaUNzvx+Rl2N/DkDRmD/TV9M2HdXcMwwZ/vSzuVRo4h2haBUwSSXTeXnjAFvSgOd2quQV2jlQXaZ5HD7wyiUVTyvrKDs3S1gXV2ARcuzgqn0uye1JfqtL3wcHBD3+TOydXQUuMqTlUvLgRN0kVyCgiq6UHFviWTShUk4+Pwgmto1xcK6CyXSKp0agW5nxJ8I9fKCiY0NCru5wixPHuk6+EHTFXK690nidF/Xo5JBF1LlZ43iBpALD9k2LFcsCQKMY7yZWzN8iPiAWbVmoU0R8dk04Veu4HXvPjAy/ooird/DbPhJIH9FScYrm5JPFEyyhC5eJaQvY2O9/O4yBnoNxNd4M4Q9nYBd/RqgepEcWk3ja1wcXrRqjWjyb+QaMxo5+mnwrqdVj7yRWAS4XRWLIG+fHALc4c73hkYIMCd75cqVsWJFQnRtPL1kFCxYEMOGDcP48eOVdHXq1Anh4eE4fJici9+kWrVqQgQ7c9onFRYBX7hwYSWH+2d6ycuZM6fgrHd0TOBqe/ToEUqVKoXLly+D6VNHuCFVByX+jBQIhEaHosauGoKqK12vIJPZD5ENm5oBry8DHbcApSmFUV257wG49gZsqwN9jym0Strn5S6Xkdk8s7palZ4LDQ3Fxo0bkSlTJuG7l/SfbNmyaR3xofWAeEOtEXj2IRRDdt7Ak/dhYKwyw4lehtHMSEExI5dN5eeM1svNG6YRArOuzMLux7tRt0BdrGiomH0kakjX1gNHRwNFiLu8xz5RqrRpzIqk+nTtiqgHD2FBQRKFdu6AcYafZMq8oaKuGxsDGelib8wzCLxWEsjjoMdwPORINsxYKEabP3N+CbRKqyKefuv6dCGsnjxJwGrHdhhbWEjbSRJtLNK9z5brAr1MDXIKsUKqGc0lKNIr24i1V8zPGkXs5MJD+xXiLVMDgcRMVhZYc9zhOMxNtOMYTzrW1337IZyC47IXDUeeatHABKq/YWKWGtPRvg+Z6MtYtD87Z54EP0HUh6Zokr+r1sVT2eQ+7fOA38SJwiVs0VMnf352ao8GbykRAtyuSgQkV6OEAHe4802hNgLR0dHImDEj3Nzc0K5du+/tevXqhU+fPuHAgQNKumxtbeHs7Iw///zz+2d///039u/fj9u3bys8n5zD/fTp02jYsCGCg4PBnH2JUqhQIUHvyJHqpS1zQ6r2UvMHRSKQYrT5CuK+DXwM9KTUe3uKXlRXXp4DtrYGbEoATuTY+EHq7amHj5EfVUfVq9sHPccijDt3poKuKmTmzJmYNEkiugQNxsQf1R6BCHLI/H3wHvb+762gpLo9UcxQtHvurOKcQXLYVH7OaL/OvGXaIPA56rPAqRsRG4H1TdajWl71ggDUGq070bjc3QvUo/od9ZSDGtTSIeKhd0Qv8Jlo/0yyZ0dhdzeYUSbiTyU2CphTAIgjx83wm4C1dhy4qvoYeGIgLvtdRvdS3TGuyjgRs5KvafTbt5QN4ChkA2Rt0xr5KKPTSKJLB1Wjvu5DnO6bEgqpVrGzxqY+lZE5g+E53flZo7j6cuAh37eCa5YCAeYM7nKkC+5/vK+6NpQWnUTcuw8fFshG0RhFWvjD/JeqFMzjqYWmNGiSSF/W8G+gNmX+SiQsk4plVMXHZEG0z3hcGtdUazrGrzExeEYUuLHv/JB7ymRY0+U1F91FgNtV3V0bfR8Zd7jr+wqm4vjfvXuH/Pnzg9HEVK9OEbbfZOzYsfD29sbVq1eVRmNubo6txGfZpUuX758x7vVp06bh/fv3Cs8n53Bnke19+vQRuNuTCuONr1+/vkBRo0rY80nbMEPKovFZxHzWrFlTETneVXpDIEU+9QVFgfAAIgy8AOTRgI/W/x6whgrRsejBsc+VYO3l2Qs3PtxQzRuvwSKwugwjRowgul4qgpdETExMhEuuhQt1L6Vfg+ml20c9br7FJI97QkRkjkzmWPh7OdQvoUwFpi5Acvw45eeMuujz53QFgS33tmDRv4tQLHsxuLd2l9bBurQcEOwDdKfo9qIU5Z6K8pmCKN6NIyc/0dgIRVKT/O776TA2NALeXgfarwPKdZJsxBd8L2DwycHIaJoRXh29kNVcN3/HCRQN/frTpUMcUQmMISqBvpJhoErRv6+CBad7aFQsfrPNhi19qsDKUscjVDVEJL2fNfx9RsMNY4CPs5pQrDaUubG5YP+sLaxFz/Ito8E6fhxZK+RB/uI3qODPCKDxdNF6U0WBTPRlMXFE2+OeQNsT8c4Rf1btCifKCtVWgnbuxPsZM4XL6iLHj8GI6nxw0U0E5DhndHOmfFSpjQB3uKc24nrcn745QqZOnSo49n8U7nDX402oJ0NffWs1Vt1ehQ7FOmBajR/2IHNizyCHORWAw8gHgJUGqfEh74DFVDTPyASY8lEpXX/KxSnweOaBIeWHYHC5wVqjNWXKFMydOxcxFJ2RVJjDfdasWRg3TjejC7WecDpq+CIgDE4uN/HAL0SYdf9ahTG2WUmYm2rODS3Hj1N+zqSjzWgAU2WFPFvsawG/cD9MrzEd7YtpQBGW0vzD6FJ2IV3OgmhZxr8CLIjHPZUkinhnX1Kk9tcvX2AzzAk5hw5Vv+djE4lLbSXVJyGnc8tF6rdL4Ul2AdzhYAc8+/QMoyuNRq/SvSTTLbWioB3kZKFsMOGyYstmZKIAETnlzttP6LHxGj5HxKB0vqzY3q8qrOlS1VAkvZ81/H3GUHay9vNwPusMr1deqt8rtFDLbPyLFi2FQtiFu2aGRfwToBPVhiqVUItE5+U1BfltaiI5fRmbd2Jh2rjIPLAKGofzYxvA1ETz38hMF6Nle9aoMeICA5GX6tlla/8fQ4DOY5zOBijHOZPOIOTTTQYB7nDnW0NtBPQt1Z9HhKi9tPxBiREYf348WJT7nxX+RL+yPxTKifwMzLVN6HGSP2BmqX7vMZHArNwJz48jB4zlfxRL7E8b727EkhtL0NK+JebWnqu+3h+eZEWKGYf7jw53oQ/6e9++8kbsaT1w3lAtBCKpiOpcz0fYcslHeL5m0RzYQQ4aTakP5Phxys8ZtZaQP6QjCBz3OY7R3qORPUN2Ieowg8lP+M01HfOjI8BuSkHPSZesQ69o2lrr5+OJPtCnU2dEPXyIjOQott28ie546ZJXXUmsNZLnV8riOq9uK7Wec3/ijqmXpyJvprwCl7spK5qng8IuB97RxXTIwUMJRVT3ucMsl/bZROpM8SFdovbYeBWBYdEokTsLDjjVhIWZBuumTidp9Ex6P2v4+0wabTwd6dY3zFe42I3/Go99bfYJ2VRi5d1ff+Gzmzsy162FgnldSR0FA41+CmSW106JHff39ux9aG5BWejLGE1cI9dGiIyLxJdX/bHKoROalta+CPbHDRvwYeEimFOdOvvDhzQ7TyUDjCtKCQE5zpmU+uSfpw8EuMM9fayzZLNkxewYlQujnGDCiqYynnYnJ6dki6Z+oQipQ4cOfR9DjRo18Ouvv2pcNHXXrl1wcHAQ9Dx+/BglS5bkRVMlW1muSEoEuhzugnsf72FJvSVoWOgHGoCgl8Cy8uRoz0gOdz/Nu52VF4j5opIf9+Srkxh5diTK2pSFS0sXzXV/a8GKE+8j3t4fKWXYx+y73KqVnkTAaI1A+mh48sF7jHG7jZntyqLlr7SvNBS5fpzyc0bDheCPpxkCPY72wK2AW/jj1z/g9JuTtOPwIm7ai0uAChTJ3WaZtLp/os1/1mwEb9+ewNtO9XbMcmvogPnsC/zzS0ImFivAZ/5D0XARM4mMjUQTtyYIjgrGwroL0dSuqQht8jaNp9++Pp06IerpM2SsVEmIdDcylfeC4NmHMHTbcAU9q9thaH2WHWEYws8axXWUCw/D2C2GN4uF1xdi64OtQn0QVidErMQQpSuLuqaoGhRa4IyM/1Jh7ux2wAjF2mpi+5G9vUz0ZWzcM6/MxJ7He2AWVRqzqv+D5mU1/42cOP+4sHA8o1p08URpm3/JP8jarJns0PAONEeA21XNMeMt1EOAO9zVw4k/9Q0BVkyRFUldu3at4HhfsmQJ9u7di0ePHiF37tzo2bOnwPM+h9KmmDC+97p16wr0FC1btsTu3bsxe/Zs3LhxA2XKlBGeCQoKwuvXr8GoBBKfKVGiBPLkySP8w4RF3B49ehRbtmwR+NeHDRv2Xb+6i8MNqbpI8efEIMCc1DV310RodKjqSBTff4H1DYCsVFjO+b7mXS0uDYRQ8cv+p4ECFRXaPw1+KqTcZzHPgoudL2ocsZyojF2KXb58WeXYrhA/LXOIcjEMBBgFgbZ8v3LZVH7OGMbeMvRZ3A24i65HuwpR1l6OXrCxJKowKWVzC+DVRaAt0bP81l1KzcnqCqUi9W+HJNDHFFizGlnq1dOu38RzqtdhoHBt7XQk02rFzRVYe2ctyuUshx0tdomg2W4AACAASURBVEiqW2plUS9ewqdjR8SHhyNH/37INZocWzLLpy/RyJbRcOhkGFz8rFHcNHLhIfPW5Oq1QCA8JlyItg6LCcPKhitRp0AdLbQoNnk/bz6CNm+GZaWKsOtH7xTelBFb9nfAQbwzX/TgNFGQSF9WiTKJWy3WpGWKz/p89kHr/a2F5w61OwQ7K7sU2/zsgYDlKxC4ciUylColZDxpmlEqqnPeWC0EuF1VCyb+kBYIcIe7FqCl9yYrVqzAggUL4O/vj/Lly2PZsmXfHXD16OXMzs5OcIwniqurK/6i1DVWFLVYsWKYP38+WrSgF8lvwp5lRVF/lL///huMt5BJJHGgjRo1CizKnaVWNqWq36z4aqJDXp014YZUHZT4M2IRCIoMQt09dYl11wjXul2DhamFosqnJ4GdlKnBiqWyoqmayppagP9doJsbUIwiVJIIi/6rsrMKJYZ+hXcnb62LKhUpUgQvXrxQObLnz5/D3t5e01Hz5w0QATltKj9nDHDDGNiUxp4bC8+XnmhTpA1m1Zol7eyocBvmULp8bATRyVAB0pzFpdWvQltsQABetGmLuOBgWPfujdzjRdTqcO0NMGqZBpOBOtI6mQMjAoUo95j4GOxssRO/5iTqGh2WkGPH4UvFxpkUWLUSWRrQhTsXjRDgZ40iXHLiodHC8IdlR2Dnw52Ye20u7LLa4UC7AzA20o5LPHGgcZ8+4WmDhkJ9joLr1iLzK8qien4KaLEQqDJA9vlI2sF3+jIt36dSGIzTKSd4v/VGpxKd8Fe1v0QNXQH3tWuIyqeuKH28sfQIcLsqPaZcYwIC3OHOd0K6QYAb0nSz1Gk60VsfbqGHZw+BY/aE4wnlsdzeA3gMpKg/+rHV66DmY93aBnjpDXSgSJRfKSLlB2GOCFbAb3vz7Sifi6hrtJBs2bKBFRdWJex7lCVLFi208iaGhgC3qcoryjExtF2uej7+4f5o7t4csV9jsbfVXpTKQTzrUsq7W8A6OiMsqE7HWKIho+KbcgrLzHo7aDDCvL2Rgej67PbugbG5iCjpy6uA4xOA4s2BrrslH/qkC5Nw8PlBNLNrhgV1F0iuX2qF7ynrM2jrNphYWaHwAaLp+Za9KXU/hqqP21XFleV4GOpOV5xXXHycEGX9JvQN/qr6FzqV7CR64gEUrBa4bLlg5wu7u8FoQWGKaqPf+wPpvSKfdu8MogelrYLv9GV0Pk6gzF8J6cvYkK76XUX/E/1haWopZLFZZRBXuPz9/AUI2rQJlr/9hkIuO3mUu7brLlM7bldlApar5Q53vgfSDwLckKaftU7Lme5/th+TL05G1bxVsaHJBuWhXFkNHBsPlG4PdNyi+VATIwebzQOqDVJqP+DEAFzxu4IZNWegXdF2GuuPi4uDmZmZSv529neWYcJTITWG1SAbcJuqvKwcE4Pc6kqTWnpjKTbc3YBKuSthc7PN0k/6Gl2oHqXI8KKNgO7u0uv/QWPw7j3wp4xCI3Ky27m5wqK4yIj6NxSVv5HGnpFodsY8o/AeI0nn8DjoMRwPOcKEeOKPORxDnkzaF7STdGDJKPvKCtF26YrI+/cT+Ny3buGF8zQAnttVRbA4HhpsHj1+9MzrMxh+ZjiymmcVHL4ZWe0nEcLqSjyj6HYWbZ1v0UJYVaE6DyurAORQFuptmJiJ0J5GTRdTvZAQqhsiA30Zu4hm58yT4CcYUWEE+pftL2qSMR8+4Dlx57PzwHbrVmSqSthz0RkEuF3VmaUwuIHwCHeDW1I+oeQQ4IaU743UQGDZjWVYf3d98imIp4l64Nx8QFvOwcMjgf9tAupSun/9iUpTSiz0w34Ysh+ImsoH+kHI6jGoEvZ3RiXFhSPAEOA2VXkfcEwM/7sRQTQvjd0a43PUZyypT4WxbX8ojC0FBPv+AO5QZHg9ihKvRxe0Mko00f29aN8BXyMikItoZHIQnYxoiY0iShyqUxIXrbLAt2j9pKDf8X645n8Nfcr0gXNFZylUyqqD4fyygwOY08tm+DDkHDJE1v4MSTm3q4qryfEwpN2d/Fz6Hu+L6/7X0bdMX4ysSL/9RUrQtu14T3XUzAoWRBHPozC6S2fMAarZYVsD6OspUnsaNd/bE3hwAGhIRcZrS38OJAZR5cqYS7jcNTMWdynhP306gl12IVPNmrDdqCIoK41g5N3ydxq+B+RDgDvc5cOWa9YxBPgPVB1bEAMdjvNZZ3i98sKYSmPQszT9EPxRjowCrtOPrDpjid92kuYonJoBnCeuxcrEtdiS/v8H2f5gO+Zfn4/GhRpjcT3Niwjdpwi8xILGP+pmf797l/jjuXAECAFuU5W3AcfE8L8aex/vxYwrM1AgcwEcbn8YJsYm0k96WQWqKP88IbqdRbnLJF9jY+HTrRsib99BRiqGbbt5E4ykoq/ZQON+S5HuydCfiZ3S2TdnMez0MKFI+EnHk6KjP8WOR532nw8cwLtxdIFCGBfasR0ZK9A6c0kRAW5XFSHieKS4ZfT+gUdBj9DxUEfJsni+xsTgWZOmiPXzQ56pfyN7585UDZSCcv7dAtQYDjShdwt9lEsrgBP0LlWCasN12SX5DKLp0phRdX6M/Ii5teeipX1LUX1Ev/XFc6pDB8omtnNzg2UZKlrLRScQ4HZVJ5bBIAfBHe4Guax8UqoQ4IaU74vUQMDxoCMeBz/GyoYrUadAHeUuXalA8P19QLO5RAkzWPMhXV5J3LgU2V6GCq86UqT7D3Lu7TkMPTUUxbMXh3sbzakIzp49i/r166scV6NGjeDl5aX5mHkLg0SA21TlZeWYGORW/z6p+K/xaHegHV5+folxlceh+y/dpZ/wlyBgPvHqMhnnA1hml76PbxoD16xFwJIlMKa6HPYHD8Asb17p+jpG59QVOq+SuRwW2xFbi9YerfE69DUmVp2ILiW7iFWZKu3fjRuHzwcOwjRfXth7eAi87lx+jgC3q4r4cDwM/xuTWKeiuV1zzK9LWbEi5ZPHfvhNmAATGxsUPXUSxhkyAKtrAu/vAZ12AKVai+whjZq/vgpsaiIbfRmb1erbq7Hq1iqUzlEau1ruEk2r6Tt2LEIOHkIWcrwXWEpFa7noBALcrurEMhjkILjD3SCXlU9KFQLckPJ9ITcCjO+vqktVMMqBQ+0Owc7KTrnLbW2BF2eB9uuAcloUQLpFERz7ibvdnpziPfcr6X8d8hotPVrCwsQCV7tdhbGRZsX2XF1d8fvvysVYTUxM0JkiYnbsoB/mXDgChAC3qcrbgGNi2F+NC74XMPjkYGQyyyREVWc2zyz9hJ9QsW2XjoAN8ag7UYS4TBL55AleOjgCFPmYb95cWLWls0lKuUcXy250wZyXCvH9QQX5ZBCXhy6Yc20OCmUthIPtDmp83skwpBRVxoWFE+4dEPPqNbI0aYL85HDhdVF+Dhu3q4r4cDxS/Jrp9QOBEYFCVHVMfAx2ttiJX3P+Kmo+X+Pj8aJ1G0Q/f46co5xhM4AyZKNCgbm2AF1cwvkRkFXCy1ZRo9WwcUxkAn0ZYYXhVGzc+ttltYZqfvb4x4iPwnpEx0dja7OtqJBbXGZS1NOnwnqw2ib2Rw4jg729hKPlqrRFgNtVbZHj7VJCgDvcU0KIf24wCHBDajBLqbMTeR/+Ho3cGgkpoNe7X1fN9bemNuB/B+jmBhRrrPlcnhwnZww5xPOWIyfGOaX2sfGxqLyjMmK/xgpFljQtJrdq1So4OTkpFU1lBVOHDh2Kf/75R/Mx8xYGiQC3qcrLyjExyK3+fVKDvAbh4ruL6F6qO8ZVoToackhinY/y3YB2q+ToAQKVTOcuiLx3D5kpo6nAqpXSO30/URG+JWWIPsUUGE//bi6u4J8qIL7EfBHO3NDoUCxvsBz1CtaTBS+plUbcvUdFVCkin9Yhz7RpyN5J+ZJb6j71WR+3q4qrx/HQ592c8thX3lqJNbfXoFzOctjRQnyQS+ipU3g71EnIZCp65jRMMtNF8Ut6f9hKUe1WBYGRFOWuz7Ke6qj4/k82+jIGzdRLU+H+1B2NbBvhn/ri34Pe0HqE0bpYdeiAfLOptheXNEeA29U0XwKDHQB3uBvs0vKJ/YgAN6R8T8iNgFDciIoc2WaxxZEOR1R3t5j4+kLeAv1PAwUqaj6kNxTxuJG4cbNRZMqfqvnUWZq9T4gPNjTZgKp5q2rUxzR6+Z81axYFPVK0SBIxNTUF+2ziROVCrRp1wB82GAS4TVVeSo6JwWxvpYk8//RcoJMxov8x+14wCzkq5JBt7SgL6gzQil7qK/WVowcErl+PgEWLYZw1K+wPHYJZ7lzS90MZX1hcCgj1A/pQQb5CVJhPBln8v8XYfH8zquSpgo1NN8rQgzwqP27chA8LFsCIqB0K73NHhiJF5OnIALRyu6q4iBwPA9jUyUwhKi5KiKYOigzCgroL0MyumajJssxbH8pOZXU6cgwciFzO34qvnl8EnJoOlG4PdNwiqo80b+xJdTGurgaqDARaLJBlOM+Cn6H9wfZCFtWR9kdQIAtF1YuQiNu34dOJePTp3aqo1wlp6dxEjCs9N+V2NT2vvrxz5w53efHl2nUIAW5IdWgxDHQork9cMf3ydNTOXxurGiUTmTiL0jYpKg/Db1LqoxZphB+pkN5ySmekQnGYSI57FeJ0ygneb70xudpk/F5Cs8g5Ft2+bt06JYc764b9fQBLReXCESAEuE1V3gYcE8P9ajDbzmx8Q9uGWFJfJt5VSv3HvEKU7h8CDLoA5CkrOaBRRCvwsl17sCJ6eWfPRrYO5HCRS/YQx/3DQ0BjcuzUpAJ9Moh/uD+auTdD3Nc4uLZ2RUnrkjL0Ir1KRvPwZsBAhF+8CIvSpWG3m7iBKZOMC7erKe0Bfs6khJD+fu7x1ANTLk0RslM9O3jClGUIiZDwq9fwulcv4WKPcbebEoe7ILsow+bxUaDpbKD6UBE96EDTe1Svyo0up2WkL2Oz/MPrD1x6d0myDLdXvXrjy9WryN6zB/LwYKY030jcrqb5EhjsALjD3WCXlk/sRwS4IeV7Qm4EFv1vEbbc35L8jzHGNTgrd8Iwxr8GLLQolpa0oN5fARQdYa40rfnX52P7g+3o8UsPjK08VqNpd+rUCW5ubohnjp8fxIMKvLVrR9GXXDgChAC3qcrbgGNimF+NT5Gf0NitMSLjIrG56WZUylNJnol+IC7dVZSVRBzxwhlhIs7Z8uMgv8bFwadrVyHaMVOd2ii4dq30VDJJO724DPCaDJRsBXTeKQ9mpHWM9xgc8zmGNkXaYFYt/UnPj3n/Hi/atEX858+wGTIYOYcPlw0jfVbM7ari6nE89Hk3Jz92Fo3ucMgBT4OfwrmiM/qUoRoYIuV1/wEIv3AB2bt2QZ4pUxK0seyjBUWBL4FAPy+gYBWRvaRx8090Vi6hy2kZ6cvYDKWu4RJGl61v+vWHkYUFip4+BVNr6zQGMn13z+1q+l5/OWfPHe5yost16xQC3JDq1HIY5GCGnR6Gs2/OYlLVSehcklIFf5SQdwkp9uxH4WT6oUsFczSW+Dhgeg72ixkY9QTI8s2Bn0TR3sd7MePKDNQtUBcrGq7QqIu6devi3Dllbnjhxyb9aK9Zs6ZG+vjDhosAt6kqvuIhIbCyssJncqBlJboOLoaBwIa7G7D0xlKUsi6FPa32yOekvrEdOOgE2FGtj96HJQcvkcbEmDh87Q8TlUyePJL3oaDw1WVgM1EiZKZzatRj7c48NUZ4J+AOuh3tJtRNOeF4AjaW36I41Wib1o+EeHrCd6Qz/S4whp3LTliWpyKzXBQQ4GeN4obgeBjmF+SK3xUMODEAlqaWQg0mqwxaBOUkgSbi/n34sMLYJiYocvwYzAt8o0EJegksIztD9hITKFPWzEK/AWUXCIsosynMX1b6MnYhwmjlXnx+gTGVxqBn6Z6icBPofhw7IpLWKcfgQcg1Qp4sMFGDTEeNuV1NR4udylPlDvdUBpx3l3YIcEOadtinl57b7m8r/BBb23gtauRTwVfrT4WJ1pDDOlNOCsl7pj0s8+yAiGBgyBUgFznwf5CrflfR/0R/2GW1w6H2lM6vgZQoUQJPnpAjX4U8fvwYxYsX10Abf9SQEeA2VXl1OSaGt+Nj4mPQzK0ZPkR8wOxas9G6CBWak0sOUoTzja1ALeLZbTRV0l6iXrzEy/ZEJRMVhbwzZyCbIzli5JaYCGAOOXmomLdQc4TVHpFJuh/tjtsBtzGo3CAMLa9fFAm+o8cg5PBhmBWyhT1lkhlnlL7ArEywp4pablcVYeZ4pMq2S/VOEukgO5fojEnVJonu/+3IkQj1PIasrVsj/4L5/+m74wrs6w/kp0ytAadE96MTCnZTkfFHdEndaBqdn3/KNqRE6tD8mfMLXO4mxiai+go5cQK+w0cI9VRYlLtQ0JZLmiDA7WqawJ4uOuUO93SxzHySDAFuSPk+kBOBOIo8r7yzMphz5pjDMbAfY0rykiLHt5KzxqYE4HRN++EsIw73IOJy7038i3bKEeeM05bRH5gameJ69+sacUBaU0pjcDA581UI+3u2bNm0HzdvaVAIcJuqvJwcE4Pa4sJkjrw4gvHnxwtR08cdjsPcRJnGS7JZr6KL2g/3iX7FhWhYWkqmlvGFv+reAxE3biATZSkV3LBevij9H0e9rh7wjmqWOG4CyjhINqcfFR33OY7R3qNhbWEtRLlnMMkgW19SK46jjJgXbdsh1t8f2Tp3Qt6pU6XuQq/1cbuquHwcD73ezioH7/PZB633J1zmHm5/GIWyUi0PERLt44PnLegMIdtf+MABWJRIEixzlKgmr60Fqg4Gms8V0YsONb24lOjLiDJHZvqyyNhI4f3qU9QnLK63GI0LNRYFAjubX7RqjegXL5BrzGjk6NdPlD7eWHsEuF3VHjve8ucIcIc73yHpBgFuSNPNUqfJRN+GvkXzfc1hbmyOa92uqY56uL8fcO0F2FYH+h7TfpwbGgFvrwOddgCllKMt47/Go+rOqgLfMIvAsM2qXlQh4203o6JtqvjbTU1NER0dnXpOGu3R4S1TCQFuU5WB5pik0uZLpW5YyneXI11w/+N9IWqaRU/LJlGhFA1ekNQnTxembd/Bu3fDf+o0IXJaoJLJl09bVZq3SyXnTixF0bfY1wJ+4X6YVmMaOhTroPlY07BF+OXLeN2HCv+RFFy7BpmJ3o1LAgLcriruBI6H4X0zZl2Zhd2Pd2tFBakKDb/JU/DJ1VWwI8yeKMi6+nQJegNw2AiUTYVMp9RYrlSiL2NTWXZjGdbfXY/fcv2Gbc23iZ7dp30e8KOiqSY5bVD05EkYU4FbLqmPALerqY95eumRO9zTy0rzefIf7HwPyIrAJd9L+OPkHyhiVQT725FjXZVcpx+3R4irtQRFnXShCEZtZefvwNPjQJvlQAXVHIIOBx3wJPgJVjZciToF6qjV08ePH2Fjo5r7lv09IICKtHLhCHxDgP84Vd4KHBPD+nrc+nALPTx7CBepXh29hOhp2eSFN7CtTQLtCqNfkUhiPnzAi5atEB8aityTJsG6R3eJNKupJhXpC7bc24JF/y5C0WxFsa/NPr27IPafPRvB27YLjhf7gwdhmj27miAb9mPcriquL8fDsPb756jPQtR0RGwENjTZgKp5qXC2CIl5/wHPGzXC15gYFKK6EBkrUFZsoiSl+RpxB8guLpJexDClbZqK9GUBXwLQxL0J2CXvrpa7UMamjKi5fKVgpmdNmyHWzw95pv6N7J1V1AAT1QNvrA4C3K6qgxJ/RhsEuMNdG9R4G71EgBtSvVw2vRm0y0MXzLk2Bw0KNsDSBpTaqErOLQBOzwR+I4dH25Xaz82Doixv7/opV6HzWWd4vfLC2Mpj0eOXHmr19ejRI5QqpcwJzxqzvz948EAtPfyh9IEAt6nK68wxMay9n2hHWbQ0i5qWVc4tpPNhRgLtCqNfkUh8nZ0RctQTFmXKwG7PbhhRAb1UlWAfYGm5VCnQFxIdgkaujQTHVbK1VFJ18pp1Fh8ZiZdU5DD6+XNkadIE+Zcu0btLA81mrN7T3K4q4sTxUG/f6MtTm+9txuJ/F6NY9mJwb+0u+jv/fsECBG3cBMuKFWG3kzJhk8rrq8CmJlRLKhcwmuo1GRnpC0wpjzORviwVIvcnnp+IQy8OoXnh5phfJwk/fsqjVPlE0PYdeD9rFsyosG2RY54woqxiLqmLALerqYt3euqNO9zT02qn87lyQ5rON4DM0597bS52PtyJPqX7wLkSRbGrkmMTgSvkaK9JlegbT9d+RMcmkJ5VP9Wz9MZSbLi7AZ1KdMJf1f5Sq6/z58+jTh3V0fD169fH6dOn1dLDH0ofCHCbqrzOHBPD2fvvwt4JNGGMosu9jTuKZ5e5YLQLRbU98QSaEaduNeLWlUDCzp3Dm4F/kLPbGIXdXGHxyy8SaNVQBdHyYGExIJwypPp5EV9KFQ0VaPb4nKtz4PLIBbXy18LqRqs1a6wDT0fcvw+fTrQXYmORf/EiZG3RQgdGlbZD4HZVEX+OR9ruRyl7Z1HS7JxhtZem15iO9sXai1LP6kE8q98A8V++qKamurQCOEEFWcVm2ooapUyNj44hbvp1qcJN//DjQ/x++HehVpangyfyZMojalLxERF41rAR4oKCkI8uTKxatxKljzfWHAFuVzXHjLdQDwHucFcPJ/6UASDADakBLKIOT2HQyUG46HsRU6tPhUPxZArDqRGZrtYUvSlS/gyLlKfI9bb041mF7H+2H5MvTka1vNWwvsl6tdTu27cPDg7KYzcmZ83vv/+OXbsoqp4LR+AbAtymKm8FjonhfD0WXF+AbQ+2Cen9LM1fVmFO6QVFgS+BQP9TQIFKortjL/CsGFuMry+se/dG7vHjROvUWsGursDjI0CTWUANJ63VqNPwTcgbtPRoSUz4X3Gg7QHYZ7NXp5lOPROwfAUCV66ECRUpZ5z7pslQvenUoGUcDLeriuByPGTcbKms+tjLYxhzboxkxZ4D16xBwJKlyFC8OBVL3a8cLb+XaCgfHKAM2alArZGpPFuZu/tOX1YRGCB/gFDf431x3f86+pbpi5EVxWP5fe2KFUtYO3r34pJ6CHC7mnpYp7eeuMM9va14Op4vN6TpePFTYeqsWNub0DfY1HQTKueprLpHNbjX1RrqdXL+HBkFlKQIiM47VTZJ5B7OmykvTjieUEvt2rVrMXjwYLBCgUmFFVIdNGgQli1bppYe/lD6QIDbVOV15pgYxt4Piw4TOHXDYsI0qoOh9eyDXlIltvKAiTkw4S1gKr5o2odFi/Bx/QaY5s2LIuS0Nc6USevhiW54fjFwiih5fmkH/L5VtLqUFAw/PRxn3pxBx+IdMaX6lJQe17nPGafvy987IYpo3rI0boT8dPYaGRL1g4aIc7uqCBjHQ8MNpKOPs9/aXY90xb2P9zCk3BAMLi8us0mIkm7QEHHBwclHSS+mLKcQX6A3XYDa1dJRZLQcVuI5amyWcI6aWWipSL1mZ16fwfAzw5HFPAtOOp5ERrOM6jVM5qm4kJCE7ITwcBRYtQpZGlBxWy6phgC3q6kGdbrriDvc092Sp98Jc0Oaftde7pnHxMWg0s5KAvXA6Y6nkTNjTtVdbmgEvL0OdCIneSkR6YL39gFufQDbGkBfoiBQIUGRQai7py6M6H/Xul2DhWnKPzxnzpyJadOmUSZ7rIJGU+ISnDJlCiZPniw3lFy/HiHAbaryYnFM9GgD/2So2x9sx/zr81HYqjD2t90PYyOZI80SI/MK0GVt/5OiQYx8/IS4wClbiWy5Try4+1wAtlCx8Kz5AWf5a4EIUYcUfWhhYgEvRy9ks8gmGtPUVhBJzvaXjh2FNUzvFAPcriruPo5Han8b5env5oeb6OnZUyjKzQJjcljmENXRdx7wggVRxPOoMg/4Z3K0/0MOd3aeMYe0eRpewoqaaTKNk9KX9aVAI1txxWdTGiJ752vt0RqvQ19jYtWJ6FKyS0pNUvw88aLcsnx5FNrlkq4vWlMES+IHuF2VGFCu7jsC3OHON0O6QYAb0nSz1Kk+0ZefX6LN/jbIaJoRV7peSf4H0rIKQNBzoA85yQuRs1xbeXEW2NYWyFkSGEoFkFQIi5ypubsmQqNDsa/NPqEYU0oyYsQIrF69GjExMQqPssi6VRRtwaLcuXAEEhHgNlV5L3BM9P/7ERcfJ1CS+Ib5YnK1yfi9xO/yTyqRe7baEOJwnyOqv6/x8XjVtRsibt2i6OjGKLBcBzKTosOBOQWBr3HASHK4W5HjXUZh51+nw53wMOghRlQYgf5l+8vYm3yqA+jcDVy2HMZWVrA/dBBmuajQYToUblcVF53jYRhfAimLcn+l3+3PmjZF7Ds/5Jn6N7J3pjoQPwqjkmGUMnnKAoPoEtQQ5Tt9GdFu1hgm+wxdHrpgzrU5KJS1EA62Oyj6cj42IEDgcmdZTrbbtiJTFXlrnsgOkB51wO2qHi2Wng2VO9z1bMH4cLVHgBtS7bHjLX+OgPcbbziddkJJ65Jwbe2a/MPz7ICIYGAIOclzkbNcW/G7A6ytDWTODYx+kqwWlqp6N/Au/qn3DxoVouj6FKRr167Ys2cP4slh86O4ubmp5HdPSSf/3HAR4DZVeW05Jvq/371eeYE5QrJlyCZEHVqaWso/qXX1gHc3AcdNQJlkaoCoOYrg3XvgP3WqQCFjf/QIzHLTOaELsobOLH86uzoSpUxpopaRWQ49P4SJFyYil2UuHHM4BjMTohnQM2FONFZANfLBA2SmwuUFVq1MlxGP3K4qblyOh559kVUMl1FQtvJoJWTGerTxQNHsVMNDhHzavx9+4yfAhOo9FD11EsYZVNCSnfgLuLQcqNQXaPWPiN50uOl3+jIKSvp9m+wD/RLzBY3cGgnBTcsbLEe9gnSWixQ/yjT+tGs3MtWsCduNMtePETlWQ2rO7aohraZuzYU7WwwaUgAAIABJREFU3HVrPfhoZESAG1IZwU3nqrfe34qF/1uIpnZNsbDuQtVoUNQkprN0UeJHH/2MnOXJ0M6og+VnSgX9pzTAeAonB1B6qJHKVuPPj8eRF0fwZ4U/0a9svxQ1N2zYEKdPqy405O3tjTp16qSogz+QfhDgNlV5rTkm+r//WYo/S/Uf+OtADPtN/gg5xERQ9HcBIJ6ovP68C2Sz1RpEFh33vEVLxIeGIvekSbDu0V1rXZI3POwM/G8jUJ2Kpjal4qkyC6N6a+LeBIERgZhTew5a2YugcZN5rD9TL9ADOTqCUs+Qb95cWLUlR1I6E25XFRec46H/X4B51+Zhx8MdqJmvJtY0XiNqQiyr6UWbNoh+9hw5RznDZsAA1fo2NQNeXwbarQbKUyFrQ5RE+rIs+YBRD1Nlhov/txib729GlTxVsLEpnXEiJfrtWzxvSmsVFwc7CnayLEPve1xkR4DbVdkhTrcdcId7ul369DdxbkjT35qn1oxnXJ6BvU/2YkDZARheYbjqbsM/AgvsEz6bTP9uYqr98Fh6/mz6McmE8TBmyKJS1+rbq7Hq1iq0L9oe02tOT7G/0qVL4wFF0qkS9vdSpUqlqIM/kH4Q4DZVea05Jvq9/+8G3EXXo11hamyKEw4nkq/HIeU0X18BVdtOyFga9TjZC1R1uvR1HoWQo0dhUaYM7PbshpGJiTrNUueZ27sBjz+AgsSr20+9Qt5iB7b29lqsuLUCv+T4BbtbEh56Wng0cM1aBCxZAuOsWYla5hBlLaQvahluVxW/CRwPsZYhbduzaOhGro3wJfYL1jZaixr5RVBM0lRCT53C26FOMM6cGUXPnIZJFhXvBHQBKVzsxkYCTv8DbFKmmUxblLTsPZXpy9go/cP90cy9GeKIMo1lObNsZ7HiO2YsQsjWZyGaoAJLl4hVx9urgQC3q2qAxB/RCgHucNcKNt5IHxHghlQfV00/xtz/eH9c9b+KWbVmoU2RNqoHHfgUWFGJnONW5CR/LW5irDDQTHLOxEUBIyhFP3shlfo8X3pi7LmxqJCrArY2pzT+FCQX8cMGUISkKgkMDESOHOIKOqXUP/9cvxDgNlV5vTgm+rWHfxztWO+x8PTxFOw4s+epIizFn6X6l6QI7M5UUFtLCTt/Hm8GDKTMJ2PYue6FJV2g6pR8pPoly6mOiQlRHbCLYlNz2YcXHBmMxm6NEUVn5ZZmW1Axd0XZ+5Sjg69UONWncxdE3ruHzHXrosCa1Xp7eaANPtyuKqLG8dBmF+lOm8Ss2KLZigo1lsRcBLJ6FT7E1x55+w5yDByIXM4jVU+UUZYx6jJWQHqcj6iLXd1BMpmRfKcv20L0Ze1TZbhjvMfgmM8xyX47RD6hzKY2lM1El8T2R44gg33hVJlHeu6E29X0vPryzp073OXFl2vXIQS4IdWhxTCwobAXehbhsL35dpTPVV717F4Tb/umJuQctyMn+W3xCCyiCIpQP2DgWSDfbyr13f94H50Pd4a1hTW8O3n/tE/2o93c3Byx9GL/oxiTA4cVUmX/z4UjkIgAt6nKe4Fjor/fD78wPzTf11yIUnNr7YYS1iVSZzKsiB0rZtdoKlArGWdJCiOJj4jAi9ZtEEOp6Na9eiH3hPGpM3ZNemEXxfMpyysiCOhP1GUFUsf5PfXSVLg/dUdD24ZYUl9/IwWjnj3Dy/YdwHjd886ejWwdUseRpMkSy/Ust6uKyHI85Npp8uuNJeowds6wd4ZpNaahQ7EOojoNv3oNr8nmGxFnO+NuNyUOd5VydR3gOQYo2hjo7iaqT51vnEhfVm0oFSGfnSrDvRNwB92OdoMZUX2y2i82lsmsgwajeTNkKMKI5tOqQwfkm51KAQAajM/QHuV21dBWVHfmwx3uurMWfCQyI8ANqcwAp1P1rGBOVRdKkSf5P3tXAR/V8YS/uJAEAiFYIIYWKA7B3QkBgjulaKG4Fii0FHd3d40Awd01FCmWEBySECRK9D/7QvgTYifv7t7d7fDjl5bszu5+uzfv3ezMN+c7nkd2FsGenjz0A7Z3JOc4Rfj1PaU8WssoBTX4Hr0476MX6Prp6ouIjUDV7VWF313sdBHWpulTz7Dff/z4Eba2tunqYf8eFkZOEi4cge8Q4DY17XHgmGjvRySFh7VK3ipY01iNhcrm/QR8fgX0PAg41VAIwOC58/B+9WoY58sH1wO+QsFUScrW9sDjI+QEmQm49VfLFAM+BqCVdysY0J+DbQ6ioHVBtYyrikFCaY9DaK8ZdYQL7bNJ3ryqGEZyOrldTb0lHA/JHVGZJ3T46WGMOjtKCIRhjlkzlvGjhDzv/SsiL1yAbedOyDtpUsaa9hKv+51dQJ3x9HeMEiNqQdcU+jKHynS5e0xtE+52qBv8Q/zR7+d+GFSOapUoKdH+/kJmE4yNUfjYUZjQ852L6hDgdlV12Oq7Zu5w1/cToEfr54ZUjzZbjUt9EPYA7XzbIYdZDpzreC7jkW8RVYD3QHKONyAn+V7lZ7iB6AeCaDxPKtBTmgqqZSB1d9UVisYx/tqSdhlTDDx+/BhFixZNVwv794cPiVuYC0fgOwS4TU17HDgm2vkRYRenjFM3PC4cS+otQe2CtdWzkE/kaJ9PDncDyh5iNCum8jvKhaKanp7EzRsPh2VLYV2vnnrmrsgoZ2cDJ6cCpWi+bdcpokGhPv2P9ceF1xfQtURXjKmsvc4mgVqmSxeBPiJbzZoouGqlUnQUCoGpgU7crqYGneOhgUMowpAsk5RFQd8JvYMBZQZgYFn6TqCERN+7hyBPev+nWh2uRw7D1IE42jOShZR9++FppkE6SkxFWl2/0ZcRbZlAX6bcpYasizsadBQjzoyArZmtcJlibmwua9cM2z3r3gNRV6/Ctns35B1PlyVcVIYAt6sqg1bvFXOHu94fAf0BgBtS/dlrda6UcfYx7r6yuctic7PNGQ+dwtP7cwegDaV2Kis7uwH/+QBNyYFRhXh7M5Aefj1wM/gmZtScgeYuzTNsd/HiRVSvXj3d39ekL/Znz55Vdsa8v44hwG1q2g3lmGjnId/631bMuDoDTjZO8G7lDUPmAFeHMCoZRimTtzTQ/7zcIyYlJuJZ5y5gkXDWDRvAYTHxwUtZAk8Dm4iXNkchYOgdtc30wqsL6H+8PyyNLXG83fFMs73UNikFB/oSGIinrVojKTYW+ab+jRxtM75wV3AIyXXjdjX1lnA8JHdEZZqQf7A/uvl1g6mhKY60PaI07cjLocMQfvgwbNzdUWD2rIznEBkKzHZN/v2YZ4AF8bjrsjD6MrbeqPcU4X6C6MuofpYahNEFNd/XHK8jX2Ny1cnwLEoXy0pKBGUvvKAsBgMLi2TKoJw5ldTIu2eEALer/GyoCgHucFcVslyv5BDghlRyW6ITE1pxewWW+i+Fh6sHptagyL2M5Phk4pyZT87xAeQkn6H82n2HADc2ZJke+ufFP7Hv8T4MLDMQA8rS2BmIt7c3WrVqlea3jLfdk6Ind+2iVFQuHIHvEOA2Ne1x4Jho30ckITEBLfa3wMuIl5joNhHtixHtibqEFUtll7EVegHu8vOLf9ixE28nT4ahpSVcDh2UPsXIl3BgOqN0IYfIiEeANRX/VoOwyNLW3q0R8CkAoyqOQveSdMmhxfJ+7ToEz54tUAe5+PrAJH9+LV5N1lPndjU1RhyPrM+MFFsMPz0cx54dE3jbGX+7MhIbFISAps3IlCbBmd7fzYuln6EqjJFCaWlHdUkGXVVmWO3pu42Cmx4dBhpPB6oql0kgz6LFLIjLxhWK4rZthxjKZsg1oD/sh9B3Py4qQYDbVZXAypUSAtzhzo+B3iDADanebLVaFzru3DgcCDyAIeWH4NfSv2Y8ts/vwM2NQF1ysNSmwkXKyjcHPvHgNiU+3Axk3d11mH9jPpo5N8PMWhm3W7NmDfr0IY7HH8TExET496VLlyo7Y95fxxDgNjXthnJMtO+Qn3h+AkNPDRXqbxxrewwWxhbqW8QaKmD3khwgrVYAZYmrVQ6JDwlBQLPmSAwPRx5KNc9JKedaISn1RzoQzVoJokZTk+x5tAdTLk1BAasCONj6IIwMjdQ0svjDJCUk4FmXrkJmQ7Zq1VBw7RqdppbhdjX1GeJ4iP+ZUrXGF+EvhIvdxKRE7G+5H4VtCys15JuJE/Fx9x5Y1amDgiuWZ67r2J/ABbrQLUfPCI8lSo2rNZ1T6MtKUlHaduvVNu3w2HCBni4qPgorG6xEtQJUb0tJ+XzkKF6Ro93QxgaFT56AEdXw4CI+Atyuio8p15iMAHe485OgNwhwQ6o3W63WhXY60Al339/F/Drz0cCR+Nkzkh1dgAcHgOZzgUqZOOZlnf2FRcCxicTfTtGYnqsz7HXiGTmTTg9FyVwlsaPFjgzbTZ8+HZOo4FI8ccR+L8zhPp6cOZMpipILR+B7BLhNTXseOCba9xlJod3qU7oPfi9PF6Pqkrjo5GjvxDjg91tAThe5Rn41fAQ+HzoE85Il4bRrJwyIx1crJOXyufpQoKFyUZ7yrDcmPgYN9zTExy8fMa/OPDR0pMsOLZYvT58mU8t8+YK8U6bAtoMaMzPUjBu3q6kB53io+QCKMNzMqzOx5b8tqJa/GlY2XKmUxrh37/CkAdmvuDg4btsGy/LlMte3rgnw/BI52ylwplxXpcbWms6BZ4i+rCWQnZ6xw+6qddope129QHWsaECX6UoKo44LbN4CsWTz7UeNRK7evZXUyLunhwC3q/xcqAoB7nBXFbJcr+QQ4IZUclui9RNiqX7Vt1cXCu1lGbGyrim98F6kSIsNQMnWyq/91hYqwvpblkVYn3x4gtY+rWFtYo0LnS5kGAU3fPhwLFmyhN7fyfnznRgYGGAx8QL/9huNxYUj8B0C3KamPQ4cE+36iNwLvYeOBzvC2NAYRzyPwN7SXn0LeEbPg/X0XMhGY44kehWytbJKxLlzeNGHancQ5ZfT7l2wIKe71kjKs8uRaob0OqTWaS+6uQir76xGOfty2NR0k1rHVsVg7zdsQPCMmQKlkLOPDxVNLKCKYTSuk9vV1FvA8dD4kZRrAt9HPTMHLHPEKiPvZs5C2Pr1sKhYAU5b6LtAZhL/JfliN4F+DroB2CkXWa/MvNXal9GXzaBaIZRRgOEPAJt8ahueZTMwLvck+uPt4Q2XHPJdpqc30Y/79uMNBT8Z5bZD4ePHYWimnkKwagNNAgNxuyqBTdDRKXCHu45uLF8Wd4TwM6B6BEKjQ1F3V10Y0J9rXa/BzCiTF6ClVYAQeunr4Qs411J+cg/IUbGDKAjylwf6nspQ3xd6ya60pZLw4ne6/WnkssiVbttu3bph+/btSKBU9R9l586daN9ed6PnlN8M/dTAX075c0bbT/7os6Ph99QP7i7umFZzmnqXc24ecIIivEtQFF6HTApu/zCrxOhoBLq3RNzLl8jZowfyjBur3nkrO1rIQ2BpZYBR94x7CRgZK6tR5v4hUSFotLcRWHG77c23o5RdKZn7SrGhQC3TvQeib9yApZsbCq1bCwO6hNE14c+a1DvK8dCuE77h7gbMvTEXrtldsd9jv1L0T/EfPuBJ/QZIiopCwVUrYVUri+8TL4iybC1Fw1vaAaOeyHWxq10opzPb5XSx8Y6i29vT8/Unes6qURhNHaOra1u0Lf6sSpQ+Sgorkv2kcRPEv3mDvJP/hG3Hjkpq5N1/RIDbVX4mVIUAd7irClmuV3IIcEMquS3R+gndeHcDPQ/3FDhhD3tScZ7MZDZFlUSGAAMoqjGPCNGIzy8D6xoDtk7AkNuZDt14T2O8jnyNjU02onwectCnI40aNcKxY8fS/d3JkydRt25drd8vvgBxEeA2NS2eHBNxz5gqtb2KeCVEoSUkJWC3+24Uz1lclcOl1f2tqBs5+qvKnkEUPHce3q9eDeN8+eB6wFconKlVQunxmEXPrZhPdFlMaf/5y6p1+uPPjYdvoC+aOjfFrFqz1Dq2KgaLffYMgR6tkBQTg7x/ToJtJ/lqAahiTmLr5HY1NaIcD7FPmOr0xSbEounepgiODhYKpbKCqcpI8PwFeL9yZTKV2J7dWTvvU+gnizUHOm1TZmjt6+tLtGU3iL+92mCg0VS1zj/l+yELxGK1YWzNbZUeP2zTZrybNg0mDg5wPewHA2P1XVYrPXktUMDtqhZskpZOkTvctXTj+LTlR4AbUvkx4z0yR2Dvo72YfGkyqucnnr6GmfD0MQfD3xRdQo4d0VIbQ4iCYGklgAr9YdzzTCfa92hfXHpzCX9V+wuti6RPZ/Pzzz/jzp076eq5e/cuSmoTZQE/uGpBgNvUtDBzTNRy9EQZZNqVadj+YLsonLpyT4g9E2ZTmnn0B+DXk4BDBZlUxDx8hKeenqBiG3BYthTW9erJ1E9yjTaT0yngBNBsDlA5bbFuVc73v/f/of2B9jA2MIafpx/yZsuryuHUojts8xa8++cfGBC1jIuPN1HLOKhlXHUNwu1qaqQ5Huo6ecqPs//xfky6OAn2FvaCvTE1MlVYacKnT3hSrz4SIyPhsGQxrBtkUjcqZZSU+lEN/wKqD1F4bK3seIsKc3sPBApVBX7JIihK5AUyylFGV3f//X0MKjsI/cr0U3oElt3G9j+Bshzyz56N7O7qKzqu9OS1QAG3q1qwSVo6Re5w19KN49OWHwFuSOXHjPfIHIG51+diw70N6FKiC8ZWziStnzlVZjolK5sQTKn0InDvRYaSw8Y1WefE95mm5f9z+R/seLgDvUv1xtAKFPGRjuTNmxfvqBBTesL+3d5ejdzG/OBpBQLcpqbdJo6JVhxdhMWEgWX+xCTEYE2jNaiSjyi/1CmpaFVekP02yXJ0VjjtWecuiPb3h3XDBnCg2hpaK6dnAKenAz93ANqsUvsyeh3uhevvruOXUr9gWIVhah9f7AHZ2Xjeoyeirl2DZeXKKLRhvU5Ry3C7mvrEcDzE/gSpRl8i8Yd7eHkg6HMQhlcYjl6leik1UMiSpQilWktmRYvC2YuoabKijyKnL1h2bRR9X/jlKDme1fycU2q1InQOfQwsqUjfucyBsfScNVb8skOR2RwMPIix58bCzsJOqBGjzGVLyvihy5cjZOEimBUpAmdvr6zPgCIT19M+3K7q6carYdnc4a4GkPkQ0kCAG1Jp7IMuzWLwycE4/eI0xlcZj07FM0njfh8ALCYqF1NrYDxx1oohCfEUNf+Vj30U6c9GEfQZyJb7WzDz2kw0KNQA8+vOT9OKRWKYUQGeHwumsoasaCr7dyMjIzFmzXXoEALcpqbdTI6Jdhzwpf5LseL2CpTMVVLg8mZ2Tq1yYyPg+zvgWIMKhx6UaegPO3bi7eTJQoFMl0MHYUKXpForT44DWyhS39aZKNH81b6Mk89PYsipIbAxtRHS/S1NLNU+B7EHjH3xIplahrid80yYgJxdu4g9hMb0cbuaGnqOh8aOolwDMw5vxuVtbWKNo22PwsrUSq7+3zdOiIhIjm7//BkF5s+DTVMquJ2VhBJn+xLKnmL1pcYxh7MIwT5ZjSml3wv0ZfSMifkI9KFMsgKyZZKJtYS4xDg02dsEwVHBmFp9KjwKeyitOlWWw7JllOXG6T6VBvWrAm5XxUKS6/kRAe5w52dCbxDghlRvtlptC3Xf7y5ErqxquApV81PKYkby4hoVLaLUzxyOwNB/xZvf9ELAF+LB/Y305y6aod5zL89h4ImBKJyjsFCw6UcJDw+HjY1Nuv2zZ8+Ojx/pZZULR+AHBLhNTXskOCbS/5hExUWh4Z6G+Bz7GXNrz0Ujp0bqn7QXpbn7U7p7zRFA/UlZjh8fEoKAZs2RSLY6z/jxyNm9W5Z9JN2A8bfPoOchFfPGCKJHs86j1ukmJCagpVdLPA9/jlEVR6F7ye5qHV9Vg4Vt24Z3f/0NAwsLuFD0o2khekfQAeF2NfUmcjykf6hZIEvXQ13xb+i/+LX0rxhSXjk6l9AVKxGyYAFMXVzg4usDA1mCYG5tIUoVqg+iAUoVyezQ1nbAY4rub0wZVVXpuatmWXtnLRbcXCAUzN3nsQ+GBsoXtQ6eMwfv16yFRdmycNy+Tf0BA2rGUF3DcbuqLqT1bxzucNe/PdfbFXNDqrdbr5KFxyfGo9KWSohPisdRz6PIZ5Uv43EeEnfgdkqdz1+OisSdFm8+C8sAH4IoVfQIvVC7Zaj3xecXaLa/GVjxnqtdrqZ54QsMDISr61d6mh+0uNDLfUAARdBz4Qj8gAC3qWmPBMdE+h+Tzfc3Y9a1WXC0cYS3hzeMDDWQvbOIMp7CyK523g0Uzdrh/2r4CHw+dCi5UN6unbI5W6S+Fcspuv8d1Q1ptwEomX5tEVUuYc+jPZhyaQrsLYlbuY1y3MqqnKc8ugVqmV6/IOrKFVhUrADHTZt0gnKA29XUp4DjIc+nQjNtr729Rq/mv8DU0BRH2h4RaEUUFcbZ/qR+AyRQ8Ev+WTORvWVL2VR5DwJubSbudqKSbDhFtj661urcPOAErb2EO9CBLiDULOGx4Wi0pxEi4iKwsO5C1CukfN0VdgHPzkNSbCwKbdyIbFUqq3lVujkct6u6ua9SWBV3uEthF/gc1IIAN6RqgVlvBnn2+Rla7G8BcyNzXOlyJfOohZTCPYUpyr3rXvEwWkWphK9vAh23A8WbZag3q8uBK/Tl3M0tfYd91apVcfHiRfHmzDXpDALcpnKHu7YdZpbi3WxfM7yNfItJVSehXVGKflO3RIQAc4hXl8mYIMDCNtMZRJw7hxd9+gLE1+u0excsdKWA9aFRwFXib69MxeSazVL3LiA2IRZN9zZFcHQwJledDM+iRHGjAxL78hWekkMukVHLjB9H2RDaH73PnzWpDybHQ/of1AHHB+D8q/PCM4Y9a5SR92vXIZiKZJo4FoLrwYMwMDaWTd2SSkAoZRB12gEUk4GCRjat2tXq+WVgXWPAki48RhHFjrrp4witRTcXYfWd1ShtVxpbm20VJSL97V9/4cO27bCsVAmOmzdp155IdLbcrkp0Y3RgWtzhrgObyJcgGwLckMqGE28lGwJnX57Fbyd+Q1HbotjbMgsn+oVFwLGJ4heIYxy4jAvXYylQrmumE0+hv3E95oqA2wFgRVLz5MmD3LlzIywsDJsoEu5HYbzGrVu3xt69Il4SyAYvb6UFCHCbmnaTOCbSPrg+AT744/wfyGWeS4g6ZFk/apf/DgA7iV87dwmiAyNnQCaSGB2NQPeWiHv5Ejl79ECecZkU51b7QpQc8B7Rm+3uCeQtDfQ/r6QyxbpvvLcRc67P0Wy2g2JTz7RXCt+/gbk5XKi4oqmTkwpGUZ9KbldTY83xUN/ZU2Skh2EP0da3rRCI49vKF4VsFKd2SoyJwZMGDZEQGop8//yDHJ5tZJtS5HsqmOqS3Hb0U3I455Stn661iv9C9GWEf3xMlvSbqlr6++j3aLy3Mb4kfBGtSHvc27cIaNgISVRjq9CGDcjmpmcFcVWwWdyuqgBUrlJAgDvc+UHQGwS4IdWbrVbLQlO+qDdybIS5deZmPuaxP4ELCwA34g9sQjyCYsnePsCdXZQq+jeljFIBvkxk8Akq8PryNMw3meP6yetCS1YI1ZCiJhnXJPubkJCQSgP7vampKQoRD2y+fPkEJz1z0P/000/o16+fKFEaYkHB9agfAW5T02LOMVH/OZR1xMSkRHj6eOLJxycCny7j1dWIHJ0AXFwMVOgJuC/MdArBc+fh/erVMCb763rAF4bZsmlkyioZNPwdMJfVHqGCtUKkfw6VDJOZUsbn32hvI3yiWiiza89GE6cmap+DKgZkz/MXvXsj8uIlWJQvL0RAysT5rIrJiKCT29XUIHI8RDhUKlQx9txYHAw8iMZOjTGn9hylRgrbtBnvpk2DSYECcD3sBwMTE9n0PTgE7OgE2JGNHUR1nvRZ1jcHntGlbgv6Hlaxl0aQmH5lOrY92IYq+aoITncx5C3V6/hAdTssKhB92JbN/DuZkqByu6okgLx7hghwhzs/HHqDADekerPValnoX5f+wu5Hu9GndB/8Xj5zZzd8BgM3KYK8LjlaalMavVjiNwa4sgKoMRxoQE79TGTOtTnYeH8jKn2shPVD1ys0gxTnvKWlJdjnif0/F/1FgNvUtHvPMZHu5+HMizMYdHIQsplkw9G2R2Fjmn6haJWvYE1D4OVVoBXZ7rLkEMlAYh4+xFPPthSZFw+HpUtgXb++yqem9gEWUV2TsECZuexVMb9l/suw/PZyFLMtht3uu3XGaRH36hUCW3qA8T/bjxmDXL16qgI+tejkdjU1zBwPtRw7hQZ5FfEKzfc1R0JSAna22Imfcv2kkB7WKfHLFwQ0aoz4d++Qd/Jk2HakWlCyyjGisblAF7rlqMC2xxJZe+lmu5NTgbOzxc8ylgOtNxFvBDo7VvdrW7NtKJ2bMruUlDg6F0KUO+NyX7cW2apVU1KjfnfndlW/91+Vq+cOd1Wiy3VLCgFuSCW1HVo/GVYMiRVFmlZjGtxdqRhPZrKD6AMeEI1AcyreU6m3eGs/PQM4TRHzMkRK7nq4C39f/hvV81bHgd4H8Iq+jCsqCxYswJAhQxTtzvvpCALcpqbdSI6JdA93D78euBl8E71K9sLwinRJqQmJo7T2GQUB4g/H77eAnF9T/n+YSxJlGwV17ISYO3dg3agRHBZlHgmviaWIMqbXb4A/FbKrMYwujSeLolJeJR9jPgpR7tHx0VhWfxlqOtSUV4Vk23/YvRtvJ06CgZkZnPfvh5mLs2TnmtnEuF1NjQ7HQ7rHOCWS2S2fG1Y3Wq3URFOi240pu9T16BEYUsapzLKWeMtfEGWZxzJyutN3EH2WgJPAZirMnZ2oZYZRoW4NyYTzE+Ad4I16BethYT1xnulv/5mGD5s3w6JcOThuE4cfXkPwaHxYblc1vgU6OwHucNfZreUL+xEBbkj5mRB9KvWhAAAgAElEQVQTgfq76gvF1lgBnJ9z/5y56nWUpv78EtBuI1CylXjTuEIF5/woYr5ES6DD5kz1Xn1zFb2P9ha4aqver4pJkyYhMTFRrrkwipnixYvD398fxrIWbZJrBN5YmxDgNjXtbnFMpHmC/YP90c2vG0wMTXDY8zDsLe01M9Fn9BxYT8+DbDT+SCpml0EBtxRHi6G1NVwOHIBJHg3NV9UopRQUL0j8s72Pqnq0DPXPvjYbm+5vQnn78tjYlJ7TOiICtQwV3I08fx4WZcokO2ToOa5twu1q6h3jeEjzBIfFhKHxnsaISYgRnO3M6a6osPodT+iyNSEkVP7odsZbPp1d7NLPwTeBXK6KTkM3+n2JSOZxp6wDDL0L5CBsNCCBnwLRyqsViMQTXh5ecM2h/L7EBQcnR7lTNkRBop+zqllDAyvTjSG5XdWNfZTiKrjDXYq7wuekEgS4IVUJrHqpNDw2HNW2J6fuXeh0IWtqgiWVgFByrvSgKHdnEaPn7uwB9lLEvBPp7Em6M5F3ke/QYE8DGBkYwae+D5wLOcvtcBfWe+ECqvG0Rb089z8umtvUtMeAYyLNj8aA4wNw/tV5tCnSBlOqTdHcJM8Sn+9JqrmRySVp3OvXCGjhjqSoKPkdLZpbmWIjMzoZRitDFyEY9wIwsVBMj5K92POxyb4miE+Mx8YmG1E+T3klNUqnOyuuF0jnKTEiAvajRiIXcbtrm3C7mnrHOB7SPMELby7EmjtrBBqZHc13KEVP9X7degTPmpXM3e53CAbyRLc/u0gXu03pYjc3Xew+zvBiV5ooqmhWq+oCr+nyoQ1lHfzcXkWDZK122KlhOP78ONxd3DGt5rSsO8jQ4t306QjbuAnmZX6G0w7lzp0Mw+lsE25XdXZrNb4w7nDX+BbwCagLAW5I1YW07o9zO+Q2uh7qCnsLe5xofyLrBc8i2oCo98AAegnOUzLr9rK2eEJjb2kD2JPOgaQ7E2GRblW2VRHS5n1b+WJoj6E4QJGTPxZKzUgFi27v3r071q1bJ+vseDsdR4Db1LQbzDGR3qG/F3oPHQ92FC4bme0raKOZ6DYBGZbWztLbm84CqvRLAxaz0y/7D0DEmTPJhdBYsUtdrpVB68Xc4kDEW7o0PkiXx5qLzpt8cTL2Pt6LmgVqYlkDomHQIfm4dx/e/PGH4LRz3r8PZq7KR1aqEx5uV1OjzfFQ5+mTbSxWeLnx3saIjIvEwroLUa9QPdk6ptOK1V140qAhEj58QL5//kEOT3rPl0fOEF/5KeIt/4kyatvrTsaOPBCkaXvkD+AScdnLQMGp1DhZdP7+feRgm4MoYFVA6eHiQ0LwhEW5x8Sg4KqVsKpVS2md+qiA21V93HX1rJk73NWDMx9FAghwQyqBTdCRKex/vB+TLk4S0kWz5GhktC1/56JURvo54iFgnVc8FF4TB/CqOqQzH+l+kKXetj5t8fDDQyytvxTR96LRpAlRG8go2bNnx5MnT2BnZydjD95M1xHgNjXtDnNMpHfqfz/5O069OCVqRJlCq0yIo7R2R4AcMuh/AchbKo2az35+eDVsOAxMTODsRZzbWuYYVQiX3T2Be/vFLyou52Sef34Ody+KBKdnNSueWjwnXQToiAjUMv37I/LMWZj/TFGQjFpGi2jhuF1NfRA5HtL7YC71X4oVt1egqG1R7HHfo1R0e+jKVQiZPx8mjoXgevCg/J/VjUQz+fQM0Iwyqir3kR5YmpjRf5QFvJO47O2KAYOoaLkGpe/Rvrj05hI6FOuACW4TRJnJu5mzELZ+PcxLl4bTrp1KnT9RJqSFSrhd1cJN05Ipc4e7lmwUn6byCHBDqjyGXEMyAnOuzcHG+xvRtURXjKk8JnNYosKAWV8LlU0IAYzlKHqUFeAfngELiT/eyAyY8C7LtNERp0fg6LOjGFlxJLqV6AZHR0e8fPkyq1GE369cuRJ9+/aVqS1vpB8IcJuadp85JtI6+w/DHqKtb1sY0B+vVl5wyZ5+kVK1zPrFNWBtA8DCFhhFVCo/RK4nfPqEgOYtkBAaCrtBg5B7EBUU1Qe5Sin+h0YCLpTy391LoysedWYUDgcdRmOnxphTm5xVOiRx794lU8uEhyP3kN9hN2CA1qyO29XUW8XxkNbRZTSTjLs9PC4cc2vPRSOnRgpPMIGon57Ub4BEeh7knzUT2VuS81weiaeC3IyvnLJZMZCKptqXkKe37raNpCzj2V+f/6MCiG5Hc8FD195ewy9HfoGpoSmOtD0COwvl5xL//r2QFZFE3P8Oy5fBui49T7nIhQC3q3LBxRvLgQB3uMsBFm+q3QhwQ6rd+yel2fc/3h8XXl3ApKqT0K5ou8ynFvoEWFIBMLNJ5qgVU1ghoOlf0xHHvaIxrDLVvvjWYqz6dxU8i3hicrXJmDZtGiZOnJgplzujkilDxdauXbtG/iFDMWfPdWk5Atympt1Ajom0DvXw08Nx7NkxNHVqilm1icZFk3J+PnB8MlC8BdBxa5qZvCFb/HH3HphSVDuj/TCUh7NXk+tSduy3VMRuRXXAlJ5fY+gS2chYWY0K9//+gma/x35RitopPBkVdPzk64vXo0YTxkZw2r4NFhTtrg3C7WrqXeJ4SOvUsvdq9n7tmt0V+zzIdhso/q4csnQpQhcvgamLC1x8feQvcvz8CrCOHP6WlFnLHMsZFOaWFoJqms1SKs4dQtnAHbZQHRV3NQ2adhiWccSKuDN60m4/dcPoSmSTRZB3s2cjbO06mBUvDud9e3Wbjk4EvH5Uwe2qCkDlKgUEuMOdHwS9QYAbUr3ZapUvtNGeRngT+Ua24mopL785iEpg6L/izo3x3/5DdDIskuV3fyDn10j6DEbxe+qH0WdHo0zuMtjSbAveUjE1BweHTHncDehl/fr16yhfXneKyIm7CfqrjdvUtHvPMZHO5yHgYwBae7dGEv3Z13IfitgW0ezktngCT44DTWYAbqmjiyOvXsXz7j2E+Tlu3QJL4m/XG2G0a7OcgJhPQJ9TQAHNPmuGnhqKE89PoIlTE8yuTVzIOiTM0fN6xEh8PnQIppThJlzsWFpKfoXcrqbeIo6HdI4s42xn3O2Mw31mzZlo5tJM4cmxLCcWpcyyUArMmwubZgrokqEwt8IT1PaOvkOBG+vp+UvZY03EKViqKCQXX11Ev+P9YEYZyn5t/JDbkgrcKinxxPkfQFzurEB2/jlzkL1FcyU16ld3blf1a7/VuVrucFcn2nwsjSLADalG4deZwdnLtds2N2E95zueR3az7Jmv7cEhYEcnID85EfqSM0FsmV8a+PQc6E2OnIKVMtX++MNjtPFpAysTK1zsdFHg+GvTpg18KeotPj4+TV8W3d6vXz8spYgbLhyBHxHgNjXtmeCYSOdzMubsGBx6eggNCjXA/LoUXa5JSSD7OpMuXWMpK6nfOSDf/yOLE798wVOPVogNCkKOjh2Qb/JkTc5UM2NvbQ88PgI0+geoNkgzc/g66vdR7uyiprBtYY3OR+zBmVMvkM5bPF24a8t543Y19SngeIj9qVBc37q76zD/xnw42TjBy8MLRoZGCisLnr8A74m+0axoUaGGh0IFs7MozK3w5HSh47+7gX2/0vO3LD2HieNeg/J9lLtM9KQyzjV0+XKELFwEk4IFif//gFAom4tsCHC7KhtOvJX8CHCHu/yY8R5aigA3pFq6cRKb9t3Qu+h0sJPAuXeqvQwO9JubAR9yIBQm7t6ue8VfzSri6Xt9kygKthNVQebRMHFUtK/y1sqIT4rHsbbHkDdbXhw9ehSNGzdOMy/mjLe1tUVAQABy5Mgh/ry5Rq1HgNvUtFvIMZHGsQ76FAQPbw+hAOauFrtQIpeGeWxf3QBW1wPM6YJ29FPib/+/UyZ44UK8X74Cxrlzw+XQQRhZW0sDRHXO4vwCotv5EyhGEXmdtqlz5HTHGnZqGI4/P66TUe5swZGXLuF5r1+EtWsD3y+3q6mPKcdD4yZCmEBUXBSa7muKsJgwTK0+FR6FPRSeWFxwMAIaNUZSTAwcliyGdQP6ziCvfF+Ye8BFIE9JeTXodvtPVLNqPmHCKH8YfZk5UX1qUC6+pij3Y+JGuSdGRuJJ4yZCLZg8kyYiZ+fOGlyhdg3N7ap27Zc2zZY73LVpt/hclUKAG1Kl4OOdvyLg/cQbEy5MQJW8VbCm8ZqscTk3DzgxBShDUe6tV2TdXt4WKZGB7ouACsmUBJmJh5cHAj8FYnmD5ahRoIbA3+7s7IznzylK/gfZtGkTunXrlpVK/ns9RYDb1LQbzzGRxoeBUWcxCq06Betgcb3Fmp/UhYXAsUnkUKZL0U50OfpVYh4+wlNPopqhDKMCixbCppHixfY0v0glZvDyOrCmfroXEkpoVbirrke5M2DezZiJsA0bYJQrF1x8vGFMP6Uq3K6m3hmOhzRO6po7a7Dw5kIUtC4I71beMDE0UXhib/6cjI87d8KiXDk4btsqZKDKLVkU5pZbny52WEDZZR/J2d55F1A0bbCROpfMoty7+3WHf4g/xIxyD9u6Fe/+ngojOzsUPnpEK2jD1Il7RmNxuyqFXdDNOXCHu27uK19VOghwQ8qPhRgIzLsxD+vvrken4p0wvsr4rFUepjaXiZKl2u+ULv931u3lbeFFXIT+VACo3kSg1sgse6cUERxZcSR6lEx20M+YMQN//PHHt+KpjErGzc0N586dU+ylP8tZ8Aa6gAC3qWl3kWOi+ZP96MMjtPVpK3C373Hfg2I5i2l+UulQpiTFxSGoQ0fE3L8Pqwb14bB4sf7aW0a5M4tqkHz5LAked3ZgUqLcGzs1xpzaczR/hkSeAaMyCmrXHl8ePYJV3bpwWLZUsueP29XUm8/xEPnDoIC68NhwNNnbBJ9jP2NajWlwd1W8COeXwKcIdKf+CQlw3LIZlhUrKjAj6pJFYW7FlOpYL5/BwM1NkuBxZ8heen0JfY/1hamhKfw8/WBvaa804EmxsQho3gJxL14g99ChsOvfT2md+qCA21V92GXNrJE73DWDu1aPyvicZ1MlbFZwsUyZMlhMXxIrV66c4Zp2796NiRMnIoj4SYsUKYKZM6mozHeFYNgN759//onVq1fj48ePqF69OpYTBxlrmyJOTk549oxupL+T6dOnY+zYsTJjyQ2pzFDxhpkg8NuJ33D25VlMqDIBHYp3yBqrvcQXeId4AxuSs706Od3FlmOUhn+B0vGrUBG+plSMLwtZ7r8cy24vQ6vCrfB39eQLgB+LpzKH++3bt1GyJE9HzQpPff69qm2qNj5rVI2JPp83WdeeUvSykWMjzK0zV9ZuqmuXmED87U7JzuS+xBubn/hjSUJXrETIggUwzJ4dLr4+MLFX/ou26hahBs3bOgKP/IAGk4Eaw9QwYOZDfB/lvrflXs0X3VUBIjEPHyKobTuwy5+8f02BbXvi0pegqNKu8ueMBDdcC6a0zH8Zlt9eDpfsLkJRbmW421/+PgThRO/ILr4KLl+m+OozKcytuFId63lnD7C3N9HtlAIGXND44pgPpMfhHrgVfAtdSnTB2Mqy+zUym/wn3wN4PWoUDK2s4HrsKIyJIpRL5gio8jnDsddvBLjDXb/3X+7V76R0t+7du2PFihWoUqUKFtCXReZQf0gv7fbpfFm8ePEiatWqBeYcb9GiBbZt2yY43G/evIlSpehhR8L+n/1+48aNArUFc87fuXMH9ynqy9zcXGjDHO69e/dGnz59vs3ZmnhOs2XLJvMauCGVGSreMBMEWETLq4hXWNd4HSrlzbxIqaBmE3E6Bp4mOpmVRCtDDgWx5eIS4OgfQKm2QNu1WWo/GnQUI86MQKlcpbC9xf+pDTyJ1sDb2xvs5W/48OHCpRoXjkBmCKjSpmrrs0aVmPDTmDUC997fQ8cDHWFIHK37W+6HSw6XrDupusUrqrGxmmptmBFf7Jgggb89hqKKn3qSzSZHZ/5ZM5G9ZUtVz0L6+i8vBw6Ts8GFsOruJYn5pmSESaLwrooQeb9uPYJnzYKBhQVc9u+DKb1vS01UZVf5c0ZqO60d8/kY81Hgbo+Ii8Dc2nPRyElxKrBof38EdSTKSUNDoVCqORVMVUgYfzu72E2nMLdC+nS1U0QIMOdrIeyRTwCr3Bpf6fdR7gfbHBTqaykrSUQX+rSNJ748eICcv/yCPKNHKatS5/ur6jmj88DxBWaJAHe4ZwkRb/A9AszJXqlSJSxZQk4+Esb/XJAqYQ8ePDjdaPMOHTogkgp4HDhw4JsaRlVRtmxZwWnPnHv58+fHiBEjMHJkMh3Gp0+fkCdPHmwgbsmOHZMdlMzhPpTSothfRYUbUkWR4/1SEGAFkty2uQlUBWc7nIWtuQwRA8uqAcH3qGDqPiqcShy1YsvtncD+voBzbaCHT5baAz8GCsUELYwtcLnzZcExxeT48eNo2LAh8ubNi8ePH8OKoiK4cAQyQ0CVNlVbnzWqxISfxqwRGHh8IM69OocWLi0wveb0rDuoo0VKHY+vBUGTiK+dOVhi7t6VPJWHOuD5Nsa7+8DyqgA9mzCWMhqNzdQ6fHqDPfnwBG182gjP/O3Nt6OUXXKgiC4Jc8ywAqpRV67A/Oef4bR1CwxMFOeiVgU2qrKr/Dmjit3SfZ0LbizA2rtrUcy2GHa57/r2Hi3vytl34OfdeyDq2jVkb90a+adPk1fF/9s/uwSsbwJYUi0G5kgmBz6XDBBI+V7Wdj0FK7XROEzsHPxy5Bdcf3cdbYq0wZRqVPdLBIk4exYv+vaDgakpXA/7wYT8LVwyRkBVzxmOOUeAO9z5GZAZgVjiBLO0tMSePXvQqlWrb/169OghUMGw6NgfpVChQkK07PeOckYf4+XlJVBWBAYGwtXVFbdu3RKc8ClSu3Zt4f8XLqRCYyTM4R5DldvjKBqM6exMVbeHDRsGY2NjmefPDanMUPGGGSBw//19dDjQATnNc+JMB6IGkEVmUyRFJEVU9DsH5KNiPWLLkxPAFnphtCf6l4EXs9QelxiHKlurgP087HkYBawKCH3Y5dkvFAXRtWtXNGjQIEs9vAFHQFU2VZufNarChJ+2rBHwD/ZHN79uMDIwgk8rHxSyKZR1J3W02EjcvE/PAs2IB7xyH4SuWo2QefNgaGNDVDK+MMmj51QyKXtATgfMISpB9rzseZBe/GqoY3eyHOOP83/AJ8AHbvncsLrR6izba2ODuDdvENjSA4nh4bAbOBC5fyeeYwmJKuwqf85IaIO1aCqh0aFotq8ZouOjhYLcrDC3oiKqQ/QUOevPzARK0veBduRI5pIxAofHUW0tou6p0BNwT/YzaFpS3l+E7DwPys4jqiJlRbjQ6dETUVevwqZ5cxSYq3u1SJTF6Pv+qnjOiDk/rkt7EeAOd+3dO7XP/PXr1yhQoAAYTUzVqhSF9FVGjx6NM2fO4ApFx/wopnSryqhiOnWidLmvsmzZMkyZMgXv3r0TdDHOdqY7X75839q0Jx5JVqGdpXsymUdfTsuXL4+cOXMKfcaNG4devXoJ/56RfKGCUOxvijBDyqLxWQS9DX3R5cIRkBcB3wBfjD8/HhXzVKRAEhleaBl37992QFIiMOIhYK18mmCaOb/5F1hZE8hGTptRj2VaEovYe/zhMZbUW4LaBSkyngtHQAEEVPVyqk3PGv6cUeDgqKjLr0d+xZW3V+BZxBOTq01W0Shyqo2NojR/RyqGFwsMuo4vHw3wtDVFTFPwQL4Z05Hju+AFOTXrZvM9vwB391IB8NFUCJyo0iQgjEKuxf4WiE+Mx5pGa1AlXxUJzEr8KXw6eBCvR1CmKUXGFlq/HtmqZFybSfzRM9eoimcNf86oexd1Y7yZV2diy39bUNquNLY226pwoeEkKpAqUH4QJasolB9rGgIvrwItFwPlu+sG2KpaxcPDwHaqwWVLhbqH+KtqFLn1Dj45GKdfnEZDx4aYVydj/4Y8illRdoG+jpzvTju2w+K74EZ59OhDW1U8Z/QBN77GrBHgDvesMeItviKgyZfTHzdh3bp16NevHyIiImBmln7a8eTJkwXH/o/CHe78SCuKwLwb87D+7np0KNYBE9wmZK3me67Aie8BI9kzMrJW/rXF5zd0I1UcYNQwbAwZ0khHnxkNvyA/DC0/FL1L9xacP4lfYpH0JUZQakRF/AzkyB6Rea68oU4hoKqXU2161vDnjDSO9MVXF9HveD+YGJrgQOsDyG8lkdTpJ8cpA8kTsHFA0mDi6u3SFTH//gsryuJzWLFcYWeNNFBXwSxubAR8qbh4QXJq9z6qggEUUzntyjRsf7BdaSebYqOrr9frcePxaf9+GOfODWdvLxhTkIsURBXPGv6ckcLOatccXoa/REuvlkKG6MqGK1EtP1FGKigfqP7Z24mTYEj1yApTUUujHDkU1ETdYj7RxS45j5MoyGfoXSBHQcV16UPPGCpgzvjuBbzuEF7SyIZjgVCePp4ChdmO5jtQ0o4yl0WQ1+P/wKd9+2BRpgwcyenOAhq5pEVAFc8ZjjNHgCHAHe78HMiMgCbTL3+c5L1794Siqw+oGEixYsXSXQOPPJR5a3lDGRHof6w/Lry+gIluE9G+WPuse70j7vbl9EJuQV9axzzNur0iLeIpcnLq16I/owIp0p34GzOR+A8fcGDLFLy4cBTlwrIjd1g8EuniKpXQy5gRZYEY2dnBzMUZpoULw7xIEeJ3LQOTAvn5y5oi+6SDfVT1cqpNzxr+nNH8wU6gTCJG9fXww0N0+6kbRlei6GipyFG6mL1IEYfluuJ9SDkEz5krOFhcDjAqmTxSmaV05vEhCFhYhi6O6XKaFZg1s5bE3L6nkVhQZwHqO6qgHosEVpoYFYWnbdshluges9WqiYJUa8lAhkt8VU9dFc8a/pxR9a7pnv4xZ8fg0NNDAr3UqoarFH4XTqB37oDGTZDw/j3sx45Brp49lQPrAVFw7egM5CIKy8E3lNOlL72/ZQRQTbry3SSz6vHnxsM30BdV81XFqkarRJlXXHAwApo0RRLZ9/xEK5Od6GW4pEVAFc8ZjjNHgCHAHe78HMiFACswVLlyZSxeTF8gSRjvM+NUHzRoUIZFU6PIwPsST2mKVKtWDT9TYabvi6aygqmscCoTZvDs7e1TFU39cZJbt25F9+7dERoaCltbGQpXftWbnSJ3eYS7XFvOG3+HQL1d9RASHYItzbagTG5yCmQlgaeBTR5AbopA/y0t5VJW3WX+/QyKzmARLgNpDHsa6wdhqasRp0/jw/YdiCRKJvrgyqz6x4bGRP1kWaECLCtWhGWlijB1cVH4S4fCk+AdJYGAKl9OtfVZo0pMJLHpEpwE49dmPNvWJtY41OYQcpgrESko9vqWEw/5uzuIqfgPgsatSqaSmTYNOdq0Fnsk3dG3gGqdfKSiqZ13A0UbSWZdi24uwuo7q+Ga3RV7W+6FkaGRZOYm5kRiiOIiqF17JFHdJnuijMz1Sy8x1SukS1V2lT9nFNoOveyUUsOJLX5Xi10okauEwjgEz52L96vXwJTqk7n4eAtFLZWSg0QFdY3qS1T6FWg+VylVetP55FTg7GygdDvAc41kls2yKNy93EWnMAtdvhwhCxfBOH8+uB46BENzc8msWSoTUdVzRirr4/PQHALc4a457LVyZMapzoqkrly5UnC8L1iwALt27RIizfNQtBZzgjOe9+nTpwvrY3zrrADqjBkz0JxuVHfs2IFp9GXz5s2bQoQ6k5kzZwq/Z1zvzs7OmDhxIv6llOv7xDtmTg+ES5cuCfzwdevWhTVFhrH/ZwVTmzZtKvSRVbghlRUp3i49BMJiwlB7Z20Y0J/LnS/D0sQya6D+JYfBPnoBdiKO9Z4Hsm6vaIvFFYD3T4AeNIYzjfVVWMGciBMn6CVrIb48pt9/FYNirvCyDUSQgynmdd8FM/rsGtBnTXjpJ2d8AhVBTggLQ9y7YMQGPMGXJ08Q8+AhYv77D4iPTzVL5oC3ql1LoEjI5uYGQwsLRVfB+2kZAqq0qdr6rFElJlp2PNQy3S8JXwR+7beRb79RZKllYFkGiQgWioCyUh5B/jXJBgfAit5jHJYt5ZeUmeHnPQi4tRlw+w1oQoUAJSLhseFouq8pPn35hL+q/YXWRXT30uTDjp14S7SMIGo5p21bYUFBMpoUVdlV/pzR5K5qz9jsXbrP0T5CjZAWLi0wvWbyd1xFJPbFCwQ2ay5cvjosXwZreiYoLSnfATpsBUq0UFqdXih4eg7YSFix+lesxpYEMnlScE+hMCuZqyS2Nd8GVkhVWUmMiUFA02aIpwLZuYcOhV3/fsqq1Ln+qnrO6BxQfEFyI8Ad7nJDxjssWbIEs2fPxtu3b1GWim8sWrQILEqESZ06deBEN/YbNmz4BtRu4qmbMGECgoKCUIRoKWbNmoVmzZp9+z17kfnzzz+xatUqfCRHX40aNcAKqxYtWlRow5zzAwcOFJz6LH2fOeW7deuG4cOHZ8jfnt4ucUPKz64yCFx+c1l44S5kXQgH21D6pixyaRlwZBxQsg3QToYiq7LoTK/NuibA80tAWxqjFI1FEkeFiN9O+QsRVNCYiSFRxNh2aI8c7drByKEAqm6viuj4aHh7eMMlh4tMI7N08+jbtxF17TqibtxAtL8/8b7/vzCxAdVTsHSrIjjf2ZcIk+8KIcs0AG+kVQio2qZq47NG1Zho1QFRw2RZTQ1WWyOPZR6Bu93cWEJRW3f2AHt7I/ixC97fiIER8WGzaEZjourikgkC9/YDu3sCdvQOOOiapKDaeG8j5lyfAzsLOxxsfVC2i3dJrUC2ybD38lfDhiP88GGYODjAef8+GFHAi6ZElXaVP2c0tavaM+75V+cx4PgAUWqEvPx9CMKPHkU2yvYuuHaN8pevH18ACyiAzYAybhh1pXl27QFWkzONp+8ujPc+LhLodxbIJ0PWsprmyyjMmu9rjqj4KEyrMQ3uru6ijGTsChUAACAASURBVPzJ9wBejxoFQ0tLuB45LNTq4PJ/BFT5nOE46zcC3OGu3/uvV6vnhlSvtlv0xaZ80W5QqAHm150vm/7jk4Hz1LZKf6DpTNn6KNJqZ1fgP6JtakrpkVX64vOxY3jzxwQkEj0TTEyQq1cv5Pq1t8DLniJdD3XF7ZDbmFlzJpq5/P8CTJ7hE6OjEUnZJ8ypH3H6jBA58b2Yly4N60YNYdOwoZA6y0W3EOA2Ne1+ckzUd8ZZpDGLOGaRx39X/xutCrdS3+CyjOT1GyKP7sLzU+RgTwIcli6BdX3d5P6WBQ6Z20R/BGbRJTAraDfkX8DWUeauqm4YmxCLVt6t8CL8Bfr93A+DylE0vo5KQng4nrZug7iXL2HdpAkKzJ+nvHNQQay4XU0NHMdDwYOkQDdWI6TdgXZgBS17/NQDIysRfYuCEnn1Kp537yFEUzt77Yf518AyBdUld7u5CfAZTA+YysCvx5RSpXedt3cCHh4C6k0Eaim+r6rAbc2dNVh4c6EQTODb2hcWxspnDydRBnNQx05C4fbsrVsj/3TpZJCpAkN5dXK7Ki9ivL2sCHCHu6xI8XZajwA3pFq/hRpdAOMIZlzBA8sOxIAyA2SbCzlc4L+FXuaocF6tUbL1UaTVgWHA9XVIqjUaoXetEbpsuaDFnNLA2QuVmatrGq1TL0/Fzoc70atULwyvMFyRUVP1YRFxXx49/up8P43oW7fIYUJepq9iRl8srBs1gjU5382KFtHYF3elF8oVfEOA29S0h4Fjor4PyOxrs7Hp/iYUsS2C3S12S4tTm2xfwsyfELgrHvFRxsje1hP5pxJnLBfZEEjJ2mJ8xIyXWEJy/NlxDDs9DOZG5oIjJG+2vBKanbhTiSbHTFDnLgKVXB7KVM3Zlf5bA8LtamrQOR7qO4ReT7ww8cJEWJtaw6+NH7KbKRZBnkSfIVaQ+Atla+fo1BH5KLNbFNlNNRbu7aPvGFQsvN4foqjUGyXX1gIH6ftPQTeg9xFJLZvR5bXc3xKvI1/jt7K/oX8ZCtwSQVhmMnO6M3EkujDL8uVF0KobKrhd1Y19lOIquMNdirvC56QSBLghVQmseqO0nW87PAh7gIV1F6JeoXqyrXtre+AxvcS5LwIqUFSLquTUdCSdmoHXj8vj8623wig5e/aE/YjhMKAI9/Rk96Pd+OvSX6iWvxpWNlwp+sziQ0IQTvzx4UePCVHwoMKtKWLq6JjsfKe/5qVKcue76OirRyG3qWlx5pio5+wFfQpCa5/WQmGx5Q2Wo0YBKk4qJXl3H697EN93kGUyJYeXF4yssklphtKeyzlytJ/4i4qmNqXiqTskNVd2udzzcE/cDL4Jdxd3TKup21GC74kiMngGZejRu4Tjpo2wLFdO7fvB7WpqyDke6jmCkUQ3wmqEMIqPERVGoGepngoPHLZpM95RDTPD7Nnh6ncIxkQxprQkUE2lOYWB6A9Ar8PkQa2qtEq9UvDxOdHxlCY6HuJIHx0IWNhKavl+T/0w+uxoIbqdUebZWxLfvAjymi5PP+3ZC7PixeG8ZzcMqFYHF4DbVX4KVIUAd7irClmuV3IIcEMquS3RmgnFJcahytYqYD9ZhIuDtYNsc19VB3hNkd6dyGFQjBwHKpKky2vwasJUhL+klEN6cco3ZQpyeCZzuWckd0LuoPOhzshpnhOn259WqdObFWENP3lK4K2MvHBBKBaVIqzoKuN7t6pfD9kqVUou3MpFKxDgNjXtNnFM1HN0Bx4fiHOvzqFmgZpY1oBqZUhMPi8YjFcrjtMXefKBbOVRZHJvzxuikllJBcBZcfIxQfRcM5NbhSo73Au9h44HOwpD7Gi+AyXtSqpyOI3q/p7P3djeHs779qq9DgG3q6mPAMdDPR8JVh+E1QlhtZv2e+yHqZFi76dxwcFCodTEiAjkpWLEth07iLOAZ1S7aT3VcGKO4pFPACPuOJUb2KVUgy7kAdXAWkc1sDzl7q7KDsz2dvXrin9D/kXrwq3xV3W6hBZB4sPChAKqiZ8+Ic/48cjZvZsIWrVfBber2r+HUl0Bd7hLdWf4vERHgBtS0SHVG4WPPjyCp48nsplkw6VOl2R3Ts+jL+GfXxKv4gniV6yoErxYmuqrPl0QfulfoWaSw7IVQtHSrIQVTHXb5obEpEScbHcSuS3VUzwngb5wMM53FvkecfYskogHPkUMraxgVauW4HxnPzVZpC0r/PjveTRIemeAP2dU/8k4+/IsfjvxG4wNjbG/5X44ZXdS/aByjMCcK08b10VCdCJytawC+1kb5OjNmwoIMDqyucWBCMrY6kZFVF1lzCpTI3zjz42Hb6AvytuXx4YmG2R/L1DjHMUaKiEiEkEdOiA2IACWlSuj0Lq1ao2K5HY19U5yPMQ62Rnrefb5mVCvgWVRLam3BLULZv1enZG2V6NG47OvL1hdI6cd2+ldnV7WxZBjREtzYQFQmrJpPVeLoVH/dBwhGp5LS4AynYHWyXScUhJWa4vV3DKgPztb7ESJXCVEmd6HHTvxli5/2Pcul0MHYUKXqfou3K7q+wlQ3fq5w1112HLNEkOAG1KJbYgWTcc3wBfjz49HOfty2NSUChTJIsxhMDUPUal8UVnhNxb98HbSJHzcvYcyIpPg0CgRVgseyTI7oU0rr1YI+BSAZfWXoaYDRROqWRJjYhB56RIiTp5E+KnTSAgN/f8MKH2dRbwz57t1vXowoUh4LtJCgNvUtPvBMVHtGY1LiEMbnzYI+hyEniV7YkTFEaodUE7trCjZ857dEXX1BsxsY+HsexwGds5yauHNBQS8qQbKLaqB4kY/m0iPtuVt5Fu473dHTEIMZtWahabOqstik8KJ+BIYiCDioE6MikLO3r8gzygV1qX5YcHcrqYGhOOh+k/EoBODcOblGYGujL0jGxhQupICEnmFCqX2IEpJ6u+0axcsSpdSQEsGXZYS93jIf+RsJy7y0m3F06tPmgLPAJtaAtnI4TzioVDQVmoy+sxo+AX5iXq5m0Q0n0EdOiLm7l3YtHRHgVmzpLZstc+H21W1Q643A3KHu95sNV8oN6T8DCiKwMyrM7Hlvy3oUqILxlYeK5uaqDBg1ldHy4RglaTEh65YiZAFFN1CL4gFqoXCxoGc+xPJaS1jWumYs2Nw6OkhDCk/BL+W1mxhOuaoir59O9n5fuIkYunL/fdi/tNPsCLHu1XtWjAvSbzvEnwplu1g6E4rblPT7iXHRLXne8PdDZh7Yy5ymecSOE2tTK1UO6Cc2lNssoFRIpw728Lsj8tyauDNvyFwzwvYTY4qu6LAoGuSBGbF7RVY6r8UuS1yw6eVj+TOo9igfT5yFK+GDBHUFli4EDaNG4k9RLr6uF1NDQvHQ7XH7tzLcxh4YiCMDYyxz2MfnLMrdmnK6BMDW7dG7JMAcQulsuV/CAIWliFHPkXLjw6QHP+4andIRO3xscnf1WIjgL6ngfzqr1GR1WrY5W5Lr5ZgmclTq0+FR2GPrLrI9PvoO3cQ1J7ojSh4qxDV6sjmRvQ6eizcrurx5qt46dzhrmKAuXrpIMANqXT2Qttm0t2vO24F38K0GtPg7uou2/Tf3QOWVwMscyUX4xFZPh87hleDfxe05p00AbaPB9NLExUmHU7RLjb5ZRqNcVMyjsrGTo0xp/Ycmfqoq9GXp0+/Od+jbxEPPssY+CpGuXLBqmZNwfmerXp1GNnYqGtafJzvEOA2Ne1x4Jio7iPCCtexAnaskN3f1f9Gq8KtVDeYApqjbt7Es27dhQLR+Sp/QI4eFJldf6ICmngXAYHoj+QIcUl+rg25Ddg6SQ6YL5TB1sa7DZ6HP0e3n7phdKXRkpuj2BN6N3s2wtaug6GlJZyo4J6ZC+2RioXb1dQAczxUd+C+z6Lq8VMPjKw0UuHBQletRsi8eTCiAqmsUKoRFUwVTa6sAvwoy8SRCob3OiiaWr1UtJ3oZB4ShnUnALXVl7kjD9Zr76zFgpsLhLpbvq19YWMqzveeN0Qr85HoZUwcC8HF2xuG5ubyTEun2nK7qlPbKanFcIe7pLaDT0aVCHBDqkp0dVd3QmICqm6vKkQWeHt4wyWHjF8uH1PBvK1UgCcPpY8OuCAqQLFBQXjaxlNI7bbt2hV5JxAH4Vzi9Qt/DfQ5RaFn5WUa7+Lri+h3rJ9QEOpgG+m+sMe/f4+I06fp7xlEXryIxMjI/6+PuDAtypUlzvfaAne9WdEiCqf+ygQab/QNAW5T0x4GjonqPiDjzo3DgcADKG1XGluabYGhgXRSv1lh6MA2bRD/+g1sXOKRv1IwDH6lZ0DBSqoDRB80r28GPKPnZ9PZQJW+klzx+VfnMeD4ABhRpOku910oaksR+TosrG7M8196E23SVZiSs91p5w6V11vhdpU73NX1kfrescmyqKxNrRUamgWNPPVohaTYWOSbPh05Wot8Qby5DRBA9aEa/g1UTw6+4aIgAtfXAweG0ncnqrXVhzCVoLCLoLa+bRH4KRAdi3XEH270vU8ESQgPR2DzFoin2jO5fu0N+5GKXzCJMB2NquDPGY3Cr9ODc4e7Tm8vX9z3CHBDys+DIgg8+fAErX1aw9LYEhc7XYSRoYzFjm5uBnwGAYUbAl33KDJ0un0S6eU9qGNHfLn/HywrVqQ0wPXJxctW1QVe3wQ6bgeKk5NCBvn05RNq7KDoGJLzHc8ju5mI0TcyjK9IE/blJermLaHgasTZM0Kq7vdinDdvcuHVWjVh6eYGIyoIxEU1CHCbmhZXjolqztql15fQ91hfoXDYtubbUMpORB5cJafMamm8+v13hB87DpP89nCuepsiGSmzaSTV05D1eaHkHHS2+8XFwFGKOnSuBfTwlewyh50ahuPPj4vKsSvZxdLE2CX4U8+2iH/7Ftlq1EDBFctVWkSV29XUp4HjoZpPx4vwF0LGCqvL8E+Nf9DSlbi9FRBGkfise3dEX78hZGEWXLNa3ECQL0R/wmhQEogO5Tei28qt25d8CmyBfF0+vwHmUZFuJsMfUJawNGtGXXlzBb8e/VUINtjefDt+yvWTfOvMoHX4iRN4+Rt9X6UAJqddO2FBtJ36KNyu6uOuq2fN3OGuHpz5KBJAgBtSCWyCFk7B+4k3JlyYgAp5KmBDkw2yr+AMFaA59Q9QrhvgsUT2flm0fDv1H3zYsgVGOXLA2dsLJnmoMCuT7Z0oJfIQ0HweUKm3zOM129cM7EvGygYrUa0AUeBomcS+fIXIc+R8P3MWkZcvI4kKsX4TFv1epgyyVatGX3qqUbGq0ip1CmgZdEpPl9vUtBByTJQ+VmkUxMTHCIVSmZ3qXLwzxlUZJ/4gSmh8T9ynwTNmAlTo2WloTVi8oEKfZcget16hhFbeVUAg7CmwqGwyT/GoJ0TRllOSwLyJeAMPbw8hE04u6jlJrka2ScXcv4+gLl2RFB0N227dkPeP8bJ1VKAVt6upQeN4KHCIsujCLk77H+8PlvlZJW8VrG6kuJP8w/bteDvlLxgQ7ZKLjw9MHQqIO+H/DgA7uxDNFjndfyfKRQULuoo7KS3XtoaCo15eBZoRvWblPpJdTEoB1Z/tfsbmZptFy/R7OWwYwv0Ow6xECTiT092A3mf0Tbhd1bcdV996ucNdfVjzkTSMADekGt4ALR1+2pVp2P5gu/z8rAeGAdfXAbWI07WeOKl/3/O2F1y5QqBQ+SYKjjf67Gj4PfXDoLKD0K9MPy3dpeRpJ5KzPeraNcH5HkFO+Lhnz1Otx9DaGpZVKgsOeCuKOjIpVEjcqCOtRk/+yXObmhYzjon85yirHotuLsLqO6thb2kv0HpJqVBq1PXreNajp8DbnoeovXJ+mA+8J8dwuw1AydZZLY3/XhYEllMW1rs7dHG9jC6wyckkUVlzZw0W3lwocOyyc5rDPIdEZyretFLVkpn8J2wp+04Vwu1qalQ5HuKfsoOBBzH23FiYGpoKhVIdbRwVGiTu9WsEtnAXKB/z/EHPhG5dFdKTaScvqg/iTxe7VQYQ3dYM8fXro8YLi4BjVHPFmb5X9fCRLALBUcFCAVVWy2ZClQnoUJyKnoog8aGhCCBqmcRPn5B7+HDY9ZXupYMIy01XBberqkKW6+UOd34G9AYBbkj1ZqtFXWjXQ11xO+Q2ZtScgeYuzWXXnRJx3oIcMBV/kb1fBi3j3r1DoHtLJH7+jJy9f0GeUT8U9lEwon7z/c2YdW0W6hSsg8X1KH1fh0SIfr94gf5eQuSlS8KL5PdiUqDAt+j3bIx+hrIGuMiOALepabHimMh+fmRpySi92h1oh/jEeCyoswD1HevL0k0tbeJDQoRaGuynTYsWyD+yJwxWUJaQkVlyNLa5OEXN1LIYKQ9ymrIHTk8DijYFOu+Q7EwZx24733YI+BSAFi4tML3mdMnOVcyJha5chZD59J5DGWWFVq8SnqliC7erqRHleIh7whi9InNihsWEKRV8wqLkX/Trh8iz56i2UDk4btlMyTky0lDKuiSyM5hThIpKf0im2WJ0W1yURyAskLKpykk+m4otdOt/WzHj6gyB6tTLwwv5rMShwPm43wtvxo2DgakpnPfthVnhwsrjqkUauF3Vos3Ssqlyh7uWbRifruIIcEOqOHb62pM5edy2ueFLwhf4tvKFU3Yn2aFYSVESb/yBTuQgKEaOAiWEvcS/7D+AIrfPwJxoUZy2bU2b7ndzE3HGD5abM94/2B/d/Lohl3kunGp/SmcjvpMoApWlwEdeuEh/LyDKn/Ymjr64pAil5JqXKoVsVavSXzdYlC8PQzNynHHJEAFuU9NCwzER7wOTmJSInod74lbwLeFCcFHdRZKxT0LhyJ69wCLczYoUpsKRO2F4lSLkTpOTVeKOYfF2SE2a3t0HlldNvsgYTTU7zBQrYqiO2f4b8q/wPGVnd2n9pajloPvOMPZ+8mbsWHzy9oGhjY1QRNXMmaguRBRuV1ODyfEQ8XCRqj8v/ol9j/fBNbsrdrvvhomRYnQaH/ftx5vx44X3c2ev/TBzdRV3okxbwClgMxVgtbQDRjwku0g1nLiIg4CWZFMlJCYI70b+If6oXqA6ltenGhoi0AoJF0Z96cLo3DmY//QTnHZsF5zv+iLcrurLTqt/ndzhrn7M+YgaQoAbUg0Br8XDPgx7KFSFtzKxwoVOF+TjyptTDIh4C/Q9A+QnDlol5JO3N16PGZv8Er9/X/pRB4+PUdhDWyBvaaD/eZlHY/zI7FIhISkBx9oeQ95seWXuq80NEyMjEUn0M5EXyQFPf38svmpAznaL8uXI+U787+SAZy+fokcqaTOANHduU9NuIMdEvEPNqLwYpZeFsYVA0SFWFJcYM3w3azbC1q2DYbZscNqzO9nBuIycwsHkHG61HCjbWYxhuA6GADkBsLgC8bmTs73teqBUG0njMvvabGy6vwl5LPMI0YdSokBSFXCsmPtzolaKvnULpo6OgtNdzIwxbldT7xzHQ7yTfPnNZfQ5mkyfsbHJRpTPU14h5bEvX+KpRyuwd8vcxIdt16+vQnqy7OQ7FLhBdrB8D6AlXfJyEQ8BLcmmYgsO/BSIdj7tEJsYq1SB3x/Bi3sXjMCWlE1NGcG5BvSH/ZAh4uErcU3crkp8g7R4etzhrsWbx6cuHwLckMqHF28N7Hq4C39f/htu+dyEAkoyS0I8MDU3OQoSKQLlEWD9tbCpzAr+3zAumF5+GJUM49UbOhR2/TPgWX9LHLcriOs2G43L6AzkEJYG/yDsAebVmYeGjlQ4SA8l7u1bop25jKjLRD9DFDSMJuJ7YZF72Yj/3ZKoZ5gT3tTZSZSIEm2GmtvUtLvHMRHnRD/7/Eyg52BFKMdWHosuJaTD3f2JiuC9Hj1GWGiBRQth06gREPoYWFIRMKRoQ2Z/LWzFAYJrSUbg2J/AhQXkbPckpzvVRpGwsDPr6eMpFPltV7QdJlWdJOHZije1+Pfv8bQd0T+9fgPLihVRcO0a0bLEuF1NvU8cD3HObXhsuPBZfRP5Bh2KdcAEtwkKKWYZlM+690D0jRtCdqTj5k2qCdCgyGbMpWCeSHo/7bqPMlqlQ7GmEHBS66RF2VQMupS6ITamNvBu5Q07C8p6EEE+Hz6MV0OpDpmhIRy3boEl0SPpg3C7qg+7rJk1coe7ZnDno2oAAW5INQC6lg857tw4HAg8gAFlBmBg2YGyr+bza2BeiWQuwIn0YmyoGIejQCUzeDAijp9ITu+jqLEMK8dHhgKzv6avTqT/liMldsqlKdjzaA96leqF4RWGy75OHW3JcI8NDEzmfr9MTvgrV5AYEZFqtcZ58nyjn7F0qwqTPPY6ikbGy+I2NS02HBPlPwbfp0tXzltZuOw0NDBUXrEIGqL//RfPunZDEkX05urbF/bD6Uspk7NzgJN/A67kAOlGjhAu4iLw8gZ5F+oBplZ0oUGR7ibm4uoXWdu1t9fwy5Hk2i3rGq9DpbyVRB5BmupiHj6iz0dXJIaHw7phQxRYMF8UxyO3q6n3m+MhzvmfdGES9j/ZDwcrB+xtuReWJpYKKQ5dtRoh8+bB0NISzj7eMHVwUEhPlp2CKHt1A9WSYgWZ2cWuHO/5WermDbQumyouMQ5dDnbBf2H/CcFSLGhKLHk1ejQ++/jCpFAhuFBmNcvm03XhdlXXd1hz6+MOd81hz0dWMwLckKoZcB0YrunepngZ8RIrG6xEtQJyFAJLcQ7YFACGE8WAgvL58BGKMqD0UUYlQ7QF5sUosiUjSaRo+qnk9KUXMAylaPcchWQelXFXMg7LCnkqYEOTDTL305eGjK855t49ofAqi4KPvnkTSd/zvxMQpsTVmcL/blm5MoyspcszLNa+cZuaFkmOifKna/3d9Zh3Yx6ymWQTnCAFrMiOSkBY4eqgthTBS9kvVvXqwWHJYhhQBJggKdyv7guBCj0lMFsdmwJ7vi0oRTxWr4CO24DichQw1xAUf136C7sf7Ub+bPmxp+UeWJvq/jOBQR159Spe9P5VeEbm6NgBef/8U+lsMG5XUx9ijofyH+ozL85g0MlBMKA/7L1XUSoZVhvoaYeOQk2gfP/8gxyeKqS8OjgCuLYGKEOUZa2JuoyL+AikZFP95AG0p9pYEheWndzpQCfEJ8ULhbpZwW4xJOHzZ6KW8UA8Zf/moMylfH//JYZaSevgdlXS26PVk+MOd63ePj55eRDghlQetHjb0OhQ1N1VV3gZv9jponw8rPf2A7vJ6VKwCtD7qEJgJkREIrB5c8STk8du4ADk/v33rPUsLAN8CAJ6+QGOsl8QMC5ADy8PmBqa4lLnSzA10p8iOVmDmrZFYnQ0osjpHkXR7ywKnn3hEniGU4SccOalvxZgpeh3i3JlRUutV2S+qurDbWpaZDkmyp22Jx+eoP2B9mCRW1OqTUGbIip0Xsgx1cSYGCGyPebuXSqSWgSO27fDyOprxFfwf8Tf7kaZTFRobyRRiFnmlEMzbyozAkf+AC4tAUq2BtptkLmbphpGxEYINWBeRbwSnCDMGaIvIgQLEI81ey7a/T4YuQfKkSGYDkjcrqYGheOh3CfpY8xHtPZpDfae37NkT4yoSI5sBSQxKopolNojNiCAMjoaEMWYCgt7J1AwDaOTiXpPdDJ7iU6mgQIz5l2yRODNbWAlFbtmRbpHEVWcefYsu2i6wYrbK7DUf6lQb4wV/XWwFifDgmX4suLwTArMmwubZs00vVSVjs/tqkrh1Wvl3OGu19uvX4vnhlS/9lvZ1R5/dhzDTg9DUduiQpSlXHKBChkdm0h8s1TEtO1aubqmNE4pymdCqakuB3xhaC5DCv0GimwIOkeRL6soAqaDzOMyCpU6u+ogLCYMm5puQjl7/eDrkxmgLBomfPyIyCtXiX7mEqLIAR/77FmqHqwAq2WFCrCk4qvWdeumX/RWrMmoUQ+3qWnB5pgofgDjyKHQ5VByenQth1pYUm+J0pGxis/m/z2TKLr69ciR+HzITygEyYqkpqIMOEGRX+fmAsXoy2in7WIMyXWkh8Brf2BVbcCYnoUjmSPERvI4+Qf7o+fhnkJR8hk1Z6C5i/Qj88UCNWzbNrz7i2iWSPJSdKQtRUkqKtyupkaO46HoSWJ3QEkYdXYUjgQdgUt2F+xy3wUz5lyVU5ieN2PH4ZO3N4xy28GFfhrnVOFl66MjwLb2yXWahj8ghzDVC+EiPgIseGYpBUuFPgQ8lgLluoo/hsga4xPjBQqzW8G3hO9vjMbMmNWTEUGC5y/A+5Urk+mS9u2FqZOTCFqlqYLbVWnuiy7MijvcdWEX+RpkQoAbUplg4o2+IjD72mxsur8J7Yu2x8Sq5DyXRw6NAq6S07sGRXg1mCxPT6Htl8ePEdiaIjuJyqTgyhWwqk1OBlnEi6LI/LcCdanwU22agxwy9NRQnHh+AkPKD8GvpX+Voydv+iMCcW/eCNQzAgUNOeETQohT/zth9DM2jRvBmootmhFNkIGBgVaCyG1q2m3jmCh+lFNsLisA5uXhhdyW5FiQgATPmYP3a+jilKi9Cq1ZIxRP/ibsy/nCn4GPz5OLebKinlxUgwDDeglxob8nZ3srolMoS7QKWiDL/Zdj2e1lQvQho5aRCkWSOqALXkDOmhUrheJ7jILJmqiYFBFuV1OjxvFQ5BQl90mhUDSiGktbm21FSbuSCin7uHcv3vxB79p0tgutX5/6uaCQxiw67ekN3N0DVOkPNJ2pihG4zhQEzs6mmixTAWf67tXDRytwYZlUbX3aIiIuAr+V/Q39y9A5EUEYpSaLco+6fh1mxYvDacd22QLARBhb3Sq4XVU34vozHne4689e6/1KuSHV+yMgFwAs0vLfkH8x7X/sXQWcVdUT/thmWXbpXrpbRAQEaSQEQSSVRsoAlBBUQJQ2KAlBWlpJaZBGpES6u2PJZZv/zHm8/W/BvvvefT3jb38Ie++5Z75z7pxz58x8U2kYGuRroOlezKPo8lNrZogtzwAAIABJREFUgbd/AsoaCqeZKhw1c6l1G7W5CahZA8ETKIXeVNkyAthCaetl2gANx5t6l7pu9tHZGL1vNCpnr4yJNSdqulcufjECqgDrmTPKAf94x3b1J3N9GsU7V04ENWiIoEaNKGrWMbiqTR1PsamJkRJMTJ098a8z8unyv46tNhbVc5rnmDPv6S++695vv+Hmt/ThTZJt5AgEvUO8rnHlEr3P098yFPPkqGsf84ru6d1vl21v6yjgr6FA3mpAm2VOoSZHH3KU+6Hbh1AmUxkVfehpZiF1p1A4TidVFPBXX+HB73+AM71yzpgO/zJlNKshdjU+ZIKH5imkbjgdchqt/myFsOgw9CzTEx1LkBPbDAk7eRIXmjXHs/BwZKQ6Sxm6djGjFQ23hD8Gvi9Ae8dQoNNmIMerGm6WSzUjwNScTNFJlKL4jCjjArNqbsIeN6w6twr9t/cHHybNqjsLpTKyDpZL5M1bON+4MaLv3UOa5s2R9ZvBljfqgC2IXXXAQXGRLonD3UUGUtRIHgExpMljJFcYEAiLCkOF+RXAH8qr312N4NTB2qCZSPzpt44C7xMVTQFtPIsPVqzAtb79kIIoZPL9uQre2TU4YQ9SdPtyinI3wxlx9M5RtPizBVJ7p8b2FtvdxiGgbWAtvzr60SM8/usvPFy/Hk+2bceziIjYRv3Ll0faZk2JC7QWUlA0raOL2NTEIySYaJ+1N57cUFzXD8If4IMiH6BfuX7aG7HCHY82b8aVjz+hQtQxyNjjU2To1i3xU1ZRFtM+imwv1ZKovCZboRfSZDwE7p0DxhHlWQoqVtuLamc4iSPk8qPLaLqyKZ5EPlGRhxyB6C7CEZJXPvpY1ToJnjb15cXfXwCK2NX4wAge2t+eUHJWt/yzJbhm0RvZ38DEGhPhwXZEo3B9pQvvvYeICxeQqnJllYUaWzxbY1smX35oAbCUnPrp8gKfHCD755xZkSbr6wgX/lobuLwHqE0H7hVpH+Ak0m9bP6w+v1plUi18eyGCfPXhoH+8Yycuf/ihqsuRbfQoChTSGIjmBPiJXXWCQXLSLorD3UkHTrqtHQExpNoxc9c7dl/bjc4bOiOTfyZsfG+jdsqP4eSgD38IfPQPkJGKHJkoXBX+bN16iL57Fxmp4FiGLp1NvPP5Zee3AbNoE5Q+P23K92u6lw8X3pj/BkKjQrGkwRIUSmd6vzU9SC6ORSDmyRM82rQJ95cuRShHvj8XryxZkLZlS6Qh57tX2rQOi5jY1MRDI5hom65sdzqu64gDtw6gaPqimFN3jkMUbX566BAutm2HZ1QsNU3T95BlyJDE60AERRv+UJhs/QOgNUVb56OoaxHrI/ArZRRcJntZYxBQ+TPrP0+nJxijD7kQ+881fkblHJV1atnxm+FC49EhIfDOls2szopdjQ+b4KF9Gn214yssP7scmVJmwuKGi5HOTzvfOmdsXO31GR6tXQuvzJmRZ9lS2+zRjPWZqg4AqjrGgbT2EXCyO/YSjdyftL5kpDW+O603TnLI8SjikTrcZYoZroUzvvp4sw6WkhqtW2PH4u4kOmCibKVclP2Xsrh5dEyOOhPErjrqyDh/v8Th7vxjKBqYiIAYUhOBksswZv8Y/HrkVzTM1xBDK1H6uhZ5eh8Ymctwx4BrRDGQyuS7bxB1QQhtYnzy5KECTMuQwsfH5HvVhffOU/RfaSqmRAWgvryhuCW1SJcNXbDr2i4MeH0AWhamiE0RmyEQefUq7lPafcjCherAhSUFFSlK934rpGvf3rrFuMzUUmxqYuAEE22TadyBcZh6eCpSeafC4rcXIzhQYzaRtseZdDXTBVxs0xYxDx4YIhgn/px0xokx6jAN2ftPqaCnRntrUmfkosQIHJxLmVwUIZ42D+F+0GkcIazId39/h4UnF4LrFHD0YY7UOWSETUBA7Gp8kAQPEyZNnEtWnF2BL3d8qRyP02pPw2tZqBaEGXJ74kTcGUd0jV5eyDV7lln0SJofe/csMJ5pmCiqvdcRIEhshmYMzbkhjA7Sv6fAo6inQMcNQHCc2i3mtGfDe47fPY7Wa1ojPDocH5f+GF1K6UN59Cw6Gpcp04+zczkwKM/iRfDK6Bi1dvSAV+yqHihKG0khIA53mRdug4AYUrcZaosVbbmqJY7cPaKc7ex01yQ3DgOTKwH+GYC+tFE2UZ4ePYoLTZsp+gLmOU1VoYKJd8a5LIroSYZmppS/GODzU0Bq+n8N8st/v2D8wfGombMmfqpG/PMiNkcghihmHq5ejXuzZiP8OHFH8mfWc8d7ekrn9AwMtHmfXvRAsamJkRFMTJ+eGy5uwGdbDBHKo98cjTp56ph+s5WuZJqACx+0RvSdO0hZujRyTv8VHvT+JSkz6gEXd5pVpNpK3XePZpnPmDMLKJIPbVdRYTvniRSPiI5QfO6H7xxGkXRFMKfeHPjyAbnISxEQuxofHsHD9BeG6RLbrm2rnI/dS3dHt1JJUIOZ0NzDdetxtUcPdWWWb4cgbdOmJtylwyUbBwM7aD+evxbwARVNFbEdAktprhyaB7zyAfDOz7Z7rg5PWnp6KQbuGkjHNCkwqeYkRaOkhzAtJtcviDh/3rBHooMnD63BYXp0xAptiF21AqjSpEJAHO4yEdwGATGkbjPUFinKPMKVF1TGM/qP6WQyp9LmtMaJ1cACig7PRjyznbeY1Jdn5GS/QBQiYYf+Q2C9usj+448m3ZfkRT8WBR5epcJKm6iwUllN7Ry+fRitVrdSPO7bWmyDl4eXpvvlYv0Q4NTlx1u24M6EnxFGhzEsnkQvk5E++JjiIoWnp34PM7MlsamJgRNMTJtMJ++dVBFYTyl6rHXR1uj7Wl/TbrTiVZHXr+PC++8j6tp1+BYujFyzZsIz6AX8p3fOABOocB1zAPfkqEMNtTasqIPbNL3iU+DALKAkFSh/9xenUptrFjRb2Qwh4SF4t8C7+KbiN07Vf3t0VuxqfNQFD9Nm4e3Q26o20a3QW6icvbKi1zCnYHEYBT9caPU+nhE1UtrWrZHlS6J2sYVERwE/0Z7+8U2g2RygqMYAIFv00ZWfcXE3MIMCASgDD71PAr6pnUrbb3Z/gyWnliged86oYl53PSScnO0XmrdADNGgBlEx1azDhmqnXtWjIzq3IXZVZ0CluVgExOEuk8FtEBBD6jZDbZGimy5uQs8tPZE7MDdWNl6pva2/qXDeWuJYLEIb4+a0QTZBQhYvxo2vB6pIyrxrVsObuCHNFiO/bRPiHyzxnqZmomOi8ebCN/Ew4qHiUi6diehpROyKgHK8/7UFt77/HhHnqGAgiW+hQsgyeBD8X6FDHTuK2NTE4AsmyU/Ie2H3wFlE155cQ4WsFTCx5kS7H+5F3b6taGQ4assnd27kmjsHXhkoS+lFsv5rYNc4KopNhdXeX5y80nKFvghcoRol06oTtYMf8BllAvlr52PWt0PaWuM6MV03dkUMZaN9Ue4LvF/kfW0NuNnVYlfjD7jgkfwLwNkkHdZ1wKHbh5AnKA9+q/cbUvtod5hGUbbTeco+jaID2VQVKyL4lylIQZQyNpHj9A2ykKKrOWOW7ZyXRppJm3TShR9C+29MIPqhu6eBtynLoGwHp1KWszrarmmLo3ePolDaQphVd5ai79NDVBHVzlRnjIvKf/YZMnSmgqpOLmJXnXwAHbj74nB34MGRrumLgBhSffF01daG/j0UC04uQPNCzfFV+a+0q7m6D/APRdy90ROolXzkWhQVEjtXpy6iiS840xf9kL5dO+3PjHuHMQWyGvW9CvVFo3y+5XOsv7hepd1y+q2IYyDwLDISIfMX4PaECSqqhAs4pWvTBhl79oBHypR26aTY1MSwCyYvn4qRMZHovL4z9t3ch+DUwZhff76KvrKnRN68hUtkd9nZ7pU1K3L/NvflxR25WOqPRYAwqtfRYj5QmKhlRGyLADtCphCVDFO41aR1thKtt04m049Mx0/7f1K80uOqjUOV4CpOpoHtuit2NT7WgsfL5x4HKjCdxrIzy5STndeZXIHPaytpmLbRj5/gUtu2KsuQD2JzL1zw4qwnDe2afKmxWKqJ3xMmtysXmo7AbqKSWUcZDRlpze9OEe9OUjzVqOD1x9dVlgcHOnCWx7jq43QLcLg3ew5uDhumHpV1+HCkadzIdFwd8Eqxqw44KC7SJXG4u8hAihrJIyCGNHmM5Aqg4bKGOP/gPH6q+hNq5qqpHZI5jYGzm6mhCUCZ1snef+3LL/GAimX6FiyIPL8vSbo4X7KtxLlg2/fA5m8p1b4FpdpP0XKnuvaP039g0K5BKJWxFObWo+J0Ig6FAB/Q3Bo5Cg+WLVP98g4ORjZK5/R/zbwiYJYoJzY1MXqCyYtnFDtBOMX599O/qygrjjjMlyafJVPQ4nsjb97EJY5sv3gRXtmyEo3MLPjQO/VS2T8TWElcvqpYKhXt9LA/vZPFQDhjA8biqUE0Xly01tNGUac6YRX3fUjplRKz6sxCkfTk1BFJhIDY1fiQCB4vf0lmHpmJH/b/oA6zJtWYhIrZK2p+q7iezpWuXfFk125F55dr3m/wzUOFmm0lN4lKcBL1OwWtLz0O0Xpj/4LitlLdoZ7zlA7Wmaoz8gnQZgWQ1/kORpkutP269qqOQYtCLTDg9QG6UcDcHDUa96ZPp/XXE8GTJiLgzTcdavi0dEbsqha05FotCIjDXQtacq1TIyCG1KmHzyadv/TwEuovrQ9P2uBubb7VvMjLMSWA+5eA9muBXC8vfBp64AAuEi8kC2/m/cuUsVzPo+SIXdwWyE787R8Sj7tG4WiI2r/XVh8q21tsR6CP4xTp1KiKS1/+eNs2XB80WKU5w8MDGbp1o5+utkt1JnTFpiaeYoLJi1+7CQcnYMp/U5RtGVttLKoGV7XrO8qc7RfbtkPkpUvwzp4dOdnZniMZjlOOrGYnyK1jQO2hQMWP7aqDWz88MszAbxx612n5jTnjo/vG7vj7+t/IlDITfqv/G7KkyuLWw5qU8mJX46MieLz4FVl5diUG7DBwrHNtEK4RolW4rtK13r2pgP0aVbSe63mkLEF7e1uKsU5F0XfIvs225ZPlWQkR+PNzYO80oFB9oCUVUXVC4SL1nMHM9cn6vdYPHxQlqiIdRL0rX3yBhytWIgVl26p3pWRJHVq2fRNiV22Pubs8URzu7jLSoqc4h2QOJIvA7KOzMXrfaJTLUg6/vkUc6FqFHQBD+WOZnDK9qaheQMYXtsAUIeebvIfwU6cQ9F4TZPvuO61PS/r6G1TAbzJVo/cjmoZ+F81KfzRG+f9Y9UfUylVLn35JK7ojEP34MW4OHYYHS5eqtlOWfRXZR4+GN9Fi2EJkc5oYZcEk6Zk3/8R8DNtjSD3+uvzXaFaomS2m6AufwUW/Lnf6EJFXr6oskVwzZyine7JyfhswqwGllvgbOHVTpkn2FrnAighsGgJs/4FOrGnNa08Fy51QuGZKm9VtcPbBWRRMW5Bq9M2Qg+4E4yh2NT4ggkfSL/r2K9vx6eZPEfUsCm2KtkHvsr01R/Jy5gnvq0LmUoantzeCJ09CwBtkX2wpofcMUdVUVBzt15B90x6hb8vuuvyzblPB1J/LkZopDFlt6WyY6aAjuMbMjxSkB3/fmZXFnUR/nlE2yOVu3fFk5054pkmDnLNnwY+ytp1NxK4624g5T3/F4e48YyU9tRABMaQWAugGt3OBpb039pp/+n+LHDATy1NVS3J2f/FyZ/fd6TNwa9QotTnhQqlelLKqizC/8LDnDtc+VGQzVXrNzY7aOwpzjs1Bg7wNMKyywUkm4rgIPFi5Ejco2j0mNFTNp+xjfkKq8jQPrSxiUxMDLJgkxmTdhXXos7WPiqzqXqo7upXuZuWZ+fLmnx4+TMW+uiCa6Jl8cuVCTna2m3pINeddogyjzKGyHamI2o921UMeTgg8uAqMpWi6mCig40Yg2PbUWnqMw9XHV/H+n+/jbthdlMxYElNrTYU/H+qIKATErsafCIJH4hfjv9v/odP6TnhKTur6eetjWKVhKptKi7Cz/fZPY3D3F6rDRJKNitUHvU1RzbaWv4YDW0cAWci2daFDXifjDbc1XDZ5nnHtf60TUJ8OeZ1QeH5/+/e3WHxqseJxH199PCplr6SLJqreAdXCCTtyBJ7p0qlId98CBXRp21aNiF21FdLu9xxxuLvfmLutxmJI3XboTVL8QfgDVFlYBdHPorH63dWqoJ9mOb4SWEhpetmIGqbzXy+8PfLGDZytVx/PyEGadeh3SNOkieZHvfSGH4vRF+oVoMN6IOfrmtvef3M/2q1tp4pNbW22Fd6e3prbkBtsiwBzUF/p1Qvhx+jQh7gUM/ftg7RUVDWFFT/UxKYmHmPBJD4mu67twsebPgZTZzQr2EwVorbmnEzurXtMEVhXPvlU2V6/YsUQ/MsUeKU38VDy6gFgajUDp+6n9P9pcyf3OPm9LRBY9hHwL0WjFqwLtFpgiyda5Rkn750EH/pzxDtn2f1c42f4eflZ5VnO1qjY1fgjJnjEx+NMyBnFUX0//D7eyPaGciRq3bcqZ/uYsbg7xVD7KPPXXyHd+wbKR5tK+COiyipuKMrddCZQjOpCidgfgfPbKbvtbdpf+wI9/wNSOyf1VxQdTvfb1g/rL66HL+kyqeYkvJZFn4Pq6Pv3cbFDB/Ud4kn7KuV0z5/f/mNnYg/ErpoIlFymGQFxuGuGTG5wVgTEkDrryNmm36vOrUL/7f2RP01+LH3HQNGhWbZTxOOmb4ASRJfQZOoLb7/yaQ88Wr8eKYmzPdfcOUhBHNy6ymzifDy3BXhnIvCK9g+G6Jho1FhcQ0XbTa45GW9kt3E6ra5guE9jMWFhuD5woOJSZAl6pyGyDBkCD1/6QLCCiE1NDKpg8n9Mdl7dqdL7I2IiUDNnTXxf5Xt42rHAKGeCXBvwJRU/i0SqihWQfdx4eAakMv3N4MNUPlQ1syC16Q+SKzUhcIfo2yZQzRKmcuu6k6JCyVnlpHLkzhEVpfuECvRVzl5Z1TrQ6jh0UtVf2m2xq/HhETz+j8epkFPotK4TQsJDUCJDCUyrPU1zdgg72++MH487EyephjMPGIB0bbRzv+vy7u0cC2wYCKQnR+VH/0hRbl1A1aERrt/ya23gCo1JxU+phsu3OjRqnyYioyPRa0svbL2yFVywe2rtqSiVsZQunVFO9/bkdD9OTvcMGZCL6GV88+bVpW1rNyJ21doIu2/74nB337F3O83FkLrdkGtSmIvJ8In/hyU+xKdlaDNljhgj7apSwaaq/ZJsgYtdMp0BRyHn+eN3+BUqZM6TXn6PscBPpV5AzcFmtf/t7m+x6NQivFfwPQyqMMisNuQm2yPAH44hc+bg5shRQHQ0Ur76KnJMGK8fZVEclcSmJh5fwcSAyY6rO9Bjcw/lbOfiqD9U+QE+nj62fyHoiVzU6/bYcbGRi4H16iHbiOFI4aOhP0a6MNag+x4gU2G76CIPfQECi9sBR+mgvBhR/jSd4dQw7buxD902dkNYdBiqB1fH6Cqj7fbuOAqQYlfjj4TgYcCDs0L4gIoj24umL4pfav2CIKZ01CC8Z7o1ajTuzTDYjcz9v0C6tm01tKDjpZHE2T6GaGSe3KKAmZ8pYEafwpY69tC9mzq1DphHAVU+ARTlfhjwT+e0eIRHh6vsQy7Yndo7NabUmoISGfUpDBxFdH2X2Ol+4oSKdOdMwpSUUejoInbV0UfIefsnDnfnHTvpuUYExJBqBMyNLudosqoLq6oP3Pn156N4BjMj5KbWAK7uA96bDhRPTBPDRS7PNWyIqGvXka59e2Tu19c6KO+hlNg11LYFKfZMBdFlQxek80uHzU032zUy1ToguXarT3bvBmdSxDx6pHiqecPLf+opYlMToymYANuubEPPv3oqGhl2GHJku72idGOePMG1L77Aow3E702S/sMPkbFXT+1ZRQsoU+jEKqBIQ6D5HD1fI2lLDwRukPNj8nMu2i6U+p+VnFZOLLuuEhXTZgMVU4WsFTCm2hjNUbtOrH6irotdjQ+J4EHm+N4J5WxnOsji6Ytjcq3J2p3tUVG4/vXA2MLzmQf0p8j2NvZ7dXaMATZSgEtQTgNtmdA52m8sknoyR7lPqQzwelPxE4py/86x+qexN6GRoepw98CtA/D38se46uPwelbtNKRJPVY53Tt2VPQyHv7+yPHzBKSqUEFjD217udhV2+LtTk8Th7s7jbab6yqG1M0nwEvUX35mOb7a+RVyB+bGikYrzOMYJhoWDM9BdAVUtPSjvUDGxBXar1Nhy/sLF8I7Rw7kXb4MHqk00BloGb4LlFY/sx5t2omHvtcRLXfGXssf+nwIwXyy09+arhvHn1mdkZvMQiD8zBmVTRF57Zoqpppj4kT4l3nFrLaSuklsamJU3B2TtefXYsCOAcpRyDQyo6qMgreHfWpARFy5Snztn6jU5hTe3sj63bdEs0R0W1rlMtnzX2sSdztRf3X/m2y7FbKStPZJrk+MwJIOwJHfgfy1gA+WOD1CHHnIlExcBJLT/ZnTXWv0rtOD8FwBd7erCcfR3fE4eOugis7l/WnJDCUxqdYkBPoEapruTMF3tXdvPN5IRbAp4zTrd1RPqXEjTW3oevHTECoATbQeYQ+ARkRtU7qVrs1LYzohcIpqY81rauBy50ORIPruc2Jhp/unf32KPdf3wMfDR2VUVc9ZXReNOMjsysefIPTvv9UeLNuokQisS7VWHFTc3a466LC4RLfE4e4SwyhKmIKAGFJTUHLPaz5c/6FKq/uo9EfoWqqreSDcPQuMp2KpXOSs/1XajHnFa+fJrl241KGj+recs2Yh1evlzHuOKXfxhn0ERciw9D1vdtrj4F2D8fvp39EwX0MMrTTUlCfLNQ6GQNTt27jcrTvCjhxRFBrZRo7QbcMrNjXxYLsrJpyWP/vYbHy/73sFylu538LwysPt5mx/tPkvXOvfHzEPHqiU5hzEz2vWYRNHtM2kQmkXdxjS+znNX8QxEeA1+GdaV6koHNr9CeR+HvHumL01qVeHbh9C943dlWOxYNqCKu0/Q8oMJt3rShe5q1190Ri6Mx4bLm7AF9u+UHRlfBDFRR9T+6TWNN0jb94iR+DHCDt8WO2Lso/5Camr6+Nk1NSRuBdvoMj2nRThnqko1aKg9caO9U7M1sEdblR7gvq0J6DAJhfZE0RER6Dvtr7YdGkTPKko/JA3hqjvPj0kJiIC1/r0xaN1RMeTIgUy9e2LdO3amhfYpkeHXtKGO9tVK0Pr9s2Lw93tp4D7ACCG1H3GWoumN5/cRK0ltajc2jOseXcNcqQ2M1rh2HJgEaWiZqMI4s5b4nUh+vETnCcqGY40TtuqFbIM/FpLF827dgxx8d2/BLQlGoQ8lAJphvx761+0XtNaFdVhWpkA5i0UcToEYkJDcZU2vI83USQXSaYv+iF9u3YW6yE2NTGE7ogJF1kevW80fjv+mwLk/SLvo0/ZPnahoXpGBVFvjx2Lu9N+VX3xK1kSOX76Ed7Zs5s330+Q43YBRRq6SDSbeSA40V2rPgP20dhnpUjRD/9yCacVF4Vkerc7T+8ga6qsGF99PAqlc68sC3e0qy9769wVjznH5mD03tFqv14tuBpGvjlS7U+1yNOjR3Gl+0eIunnTkPk3fhz8X3tNSxP6Xxty0XBYGBUGtFwAFHLcKGD9lXfCFuNmvXXZRoW69eE+tycSUXRQPWjXIKw4u0J1o1upbioAzYMz+yyUZ1RP6ubQYQiZN0+1xJmGWYZ8Aw9fyhJwIHFXu+pAQ+CyXRGHu8sOrSiWEAExpDInkkJgxpEZ+HH/jyiTqQxm1Z1lPkh/DQO2jkwy4uH6YKKSWUBUMuT0ybtiufWoZOL23sg5/NZwoEJ3s/TiqNV3lr+D8w/OY3CFwWhSMDEvvVkNy002R0BteIePQMjcuerZ6cjhnqlvH+1c1nF6LjY18TC6GyZc/2LA9gHYfHmzAqN32d5oU7SNXaKXmELmWr9+eLp/v2GOt22DTJ9/rq04atwhjSB6sJ+Jz/QBHVxWIkduTSkebXPDpfWBj6nY4PiyAPE6o/6PwGuGrDJnl8sPL6P7pu648PCCcjBy9kiNnFQzxk3E3exqcsPqbniwM/CHfT9g7nHD/qV5oeboX66/5kPdh+vWqzXiGdHJ+OTLh+BJE+GT83k2aHKgW/P38+lQ9yRn5VBwTNuVKhJYxMERMBbqDqY9Qvu1dLhruWPa3hrHPIvBj/t+xKxjhm/hWrlqqexmrYdaSenB35Mhc+bi5kj6TqbvEb8SJZBjwnh4Z85sb7Vjn+9udtVhgHeDjojD3Q0GWVQ0ICCGVGZCQgR4c/HOsnfUR+zACgPRtCDx8pkrv1Hl+tOUMleHNhPl/09L83DDBlz95FPVas6ZM5CqfHlzn6Dtvi0jgC3kbC9FG/nGxAdpphgPJDh1d249w8eOiHMiwBvee9On49ZoA+1HYL16yDpiODwopdocEZuaGDV3wuTc/XPouaWnOpBjnvZhlYahTp465kwli+7hef3g999xc9hwcDaHR0AAsg4disC3alvULjZTQbRtow21MD7aA/hYqeaGZb2UuxMiYCwa7pcG+IQOX1K5BgULF4fsvbW3or9j6VGmBzoW72iXwy1bTzp3squmYOtOeHBmB8/7/TcNB6m9Xu2F9sXaa5r3z4jW4tYPP+DerNmqjVSVKiE7ZT55ptZGRWPK2Gi+5hR9N8yj7wcPoqHsSjQlmQprbkJusAMCD4g6dAJlRlDQAd6ZSMFWVFjdRWTp6aUY8vcQ8EFXkXRFVDHVLKmy6KLdk927cbVnL0Qz3V/GDMhO3yOpyutTqNXSDrqTXbUUK7lfGwLicNeGl1ztxAiIIXXiwbNS13dd3YUuG7sgwDsAm5pugr+3v3lPYk6/0fmA0LtAJ6LtyEERdiQccXn+3Xe3xQJoAAAgAElEQVQR8/Ah0nXogMwUUWwzOU5UMgtpA5i5OOUG0ibeTOGPnZqLayL6WTSWNFjidqnsZsLm0Lc9WLEC1wZ8SenLUfB//XUVZWLOh6fY1MTD7C6YrLuwDgN3DkRoVCgy+WfCD1V+QOlMpW0+77lGwfWvB+Lxli3q2SlffRXZ6BDJJ5ic5JbIrePAlDcpEiuCwinpoLFIA0tak3ttiUA0cbhPrQrcOAyUbA68+4stn27VZ7EDhCk15p0wpOYzrcaQikOQhg8XXFjcxa6aOoTuggcXR/18y+e4/fQ2UnmnwndvfIeauaiAtQaJuHwZV3t9purYsKjsvt6U+eQVv86Shib1uzT8ETDpDaJ/JEqZihSYU/tb/dqWlqyPwM6xwIaBVCcrPRVUp0P5gIzWf6aNnnDg5gH0/KsnQsJDkM4vnXr3Kucwj540YZf5nbzy0ccIP3VKZXOk79wZGT/+SBVWtae4i121J8bu+mxxuLvryLuh3mJI3XDQk1H5k02fYMuVLWhVuBX6v97ffIDunQPGEXe7J0UK979ChVN9wVzCFz9ojaeHDsGvVEnknjPHfGoDc3r28DrwI0fKUGrqF7SZ9wsypxV1D3/wrL+4Hg3yNsCwykSdI+L0CDzeuVNlXnBEsG+hQsj56zR4ZdAWCSo2NfE0cHVMwohjduyBsbGp/eWylMOoN0chfUr64LShPIuJwf3FS1TUIh9o8odaxp49DcW4PD0t60l0JDCN6DquHwIKUsQ+c+pKir9lmNr67iv7gF9rAZTF5ooHJotOLsKIf0YgMiYSmf0zKy7rVzO/amuUbfY8V7erWoF0dTy4LgjztfNaE/UsCvmC8uGnaj8hT1Aek6HizKeHq1fjxqDBiHn8GB5BQcg2fJj9i6PG1WBlD2D/TMqiIlqb7rsAXweIuDcZYbkQUXQg/0tV4NZRoDAVV+fDeRfaK1x9fBU9NvfAyZCTarCZLrBnmZ7w9rTcMc7fHjeHD1f7OBb+Ts7+/feWB0tYMC1d3a5aAI3caiEC4nC3EEC53XkQEEPqPGNli56evX8WjZY3Uo9a0WiFpo18ov79txj4oxNFtlN6YaeN6te3aOPAhfs8KGU1z9Kl8MlhZtE+S8AYSxGnIeepiiFtaAqQ88FMOXLnCFr+2RJeKbyw+t3VyBqQ1cyW5DZHQiDs2DFc6twFPrlzkcOd5qrGAkZiUxOPpitjcvTOUfTf0V9RyLC0L94en77yKbw4Fd6GEnbyFDlRBuHpv/+qp/oWLUJR7SPgV7CgPr0w1uNImZacIETfkVqfVGp9OietmIzAxsHAjp8o+pAOEnkcXSj6kDE4fvc4+m7rqyjxuLBd15Jd0alkJ0Xv5GriynbVnLFyZTwuP7qMr3Z8hQO3Diho6uaui8EVB2vKQOXMpxtDhuDRBsN+PGXp0sj+4w/wzpbNHLitc8/pDcBv7xnaZt72PJRRJeJ8CFz/jzKqqgN0+IlGk4HSLZ1Ph5f0ODw6XNVPmH9ivrqqaPqiGFl5JHIH5dZFz4dr1+H6wIEqcMLD3x8Ze/VC2lYtLQ+cMKN3rmxXzYBDbtERAXG46wimNOXYCIghdezxsXXv+m/vj1XnVqFmzpoqcsYi+fNzYO804PVu9HUwQkXVXP2M/o0k+7ixCKxtIZewuZ1bRsVS//1Nl4J/Hdd1xD83/sEHRT5Av3L9zO2R3OdgCDDtkWfqAHhS9JdWEZuaGDFXxISjaKf9Nw1T/puiqKUypMyAbyp+gzdz2NZBEBUSgruTJ+PeXLJpVHRLfZz1+BRp339fP3qAc1uBOXQQy5HR700HikuhaK12wWGujwo3OEJuEpVE3qrAB38QT7KF2Q8Oo5yhI6GRoRi6ZyhWnF2h/l44XWHlnCyWvpiD9dSy7riiXbUEEVfEgyPSfz/9O0btHYWnUU/h7+WPPq/1QZMCTUzma1dR7USZd4PreRBHNIg2JkOXLsjQtYvd6SrijTfzfzNlWeid2O8GS+aD3GtnBLjWC9d88aEMhQ+pgHxGnQ7/7axW3MdvvrQZA3cNBNcS8fX0RddSXdG2WFtdDngjr13Dtb79ELqPMtNIUpYqhSzfDtEviMJEHF3RrpqoulxmZQTE4W5lgKV5x0FADKnjjIW9e3LhwQUV3c7OowVvL7D843Q8cbbfPU3phL8h9Gl2XCKOSC7SxFyRmb+wo3P6wBwK3/+YqrVWADqstQj2nVd3ouvGrqpaPUe5s9NNxL0REJuaePxdDZO9N/Zi2J5hOHP/jFL2rdxv4avXv7IpZ3QM2dIQcrLfIWc7R0GxpK5VC5m/HADvLDpGn8d1glhYbNq9LYMDaX/zmIEeiBzTqNwbqPG1A3VOv678ee5PDP9nuHKGcLQ7p/53L91drdeuIK5mVy0dE1fD43TIabXO7LtpcLiVyVQGQysNRY7UOUyGijOfmKIi9G9DUWGV+TRsGPwKO1gRUqYhmVkPuLKXaiyVoKxYinT3do331OTBcrULuW7I7HeAizuADIUMTnffAFfTEjee3FC1e3Zf3610K5S2kAq+KJbB8gNeRRO4aBFuURHVmCdUiJYOy9K3b4/0dGDmGWCbgvWuZlddbgI6sULicHfiwZOua0NADKk2vFz56l5/9cLGSxtRJUcVTKgxwTJVHxBn+0+02aCP3IiW23GhbWdEUyRmQI0ayEHR7RbzCVvSu7tngfFlDNzyX1yyaFPPkUPvr34fh+8cVhFHHEUn4t4IiE1NPP6ugsmt0Fv4ft/3WHN+jVIyjW8a9C/XH/XykqPARsJ1MB6sWIk7kyYh8grZWXaiUL2BTH36IKASFZrTUyLoA28WFUa9ut/gBOm4nqLVzCyirWe/pC3LETBSvnFLTWcBxQxUcq4md5/exci9I2Pf2WypsqFHmR6om6euyRHCjoqJq9hVvfB1FTweRzzGxEMTMe/4PBUA4+fph49f+VhlUnqamI3CmU93xo9HyIKFROsRgxREjZehWzek79jBsaLaefBpHw3mbT9AdsiXsgq7bKEqrnn1mhbSjj0ReHTTkLXw+IaBz73ZbJfLqDJM4WdYeW6lykQxHvC+V+A9dcCrRy2fyJs3iQ7qWzzetEmNpmf69Mj46adI0+Rd/TIZXzBPXMWu2vM1kGcnjYA43GVmuA0CYkjdZqhfqihXXm+7tq2KAvuj4R/IlyafZcAcpCI5yz9CdLoyuLAmJSLOn4dfsWLINWe2ojywq/Dm/qfiwENyVrVaRAUA37KoO//e+het17SmMqwpsLjBYhRKR5EcIm6LgNjUxEPv7JiwA2T2sdmYdXQWQqNC1bverFAzfPLKJwhiB4ENhLOD7i9fjrtTfol1tHtlzKiKogY1ekf/Q0yOTlv4PnCKsoD80gCd/xIniA3G2aaPWEOZZnuIX5dS4dF6KZBb5wMbmyrz8odtu7IN3/79rYpGZCmRoYSi5nglExV2d1JxdruqN+zOjkckFaZm+himKbvzlGhVSKoHV0ffcn2RPcC0ekfRj59Q5tMc3J0+4/+ZT3XqIFPv3vapmWTKIG8dBfw1lK5MYSjGXYiKcou4DgKXKLuCD+6jKYuhXGeiGKXxdqEiqnEHKuEBbyrvVOhUopM6LPPz8rNoTNmp/3jzZtwaNRoRFy+qtnwL5Fd7wIDq1a12gOzsdtUi0OVmqyIgDnerwiuNOxICYkgdaTTs0xfe5Ddd2RRnH5zFewXfw6AKgyzvyIL3Ef3fn7i4tyjCL4fAK2tW5F64AN6ZMlneth4tGPnlX20HNBhrcYt9tvbB2gtrUTZzWfz6FhXapIMLEfdEQGxq4nF3VkyYM5eLYk0/Ml1FLbGUzFASA8oPsJxyy8TXI5roYu4v+Z042ucg6tp1dZdnunQqUjFty5bWOcCMiVYHpjhEBcH4I7ENcWHnfN3EHstlToMAj/OiNsCJVYbI0jbLqMAKZX+5qPD7PPvobPx65FfFh81SNUdVdC7ZGSUyUgaHk4mz2lVrweyseETFRGHl2ZWYfGgyrj25puDJmTon+r/eH5WyVzIJLqab4Doe96ZPRzTztJNw5lPmAQOQ6vVyJrVhl4u4zhPvx1nqfU8O2Q/t0g15qJUROPI7sKSD4SFVB9CPHWlFrawqN8+0g5wNeewu0beRZEmVBR2Ld0TjAo0V17slwsEXnLly5+ef//+uE0VUhq5dkbp2LUos1/f701ntqiUYy722QUAc7rbBWZ7iAAiIIXWAQbBzFyb+OxGTDk1COr90WNFoheURm+GPEDUkPy5vDkBYiI9yDuWaPQu++fPbWdM4jz+zEZhLhf8CMgOfHbc4xfHa42t4Z9k7CIsOQ5+yfdCmGDkxRNwSAbGpiYfd2TAJCQvBwpMLlbP9Xtg9pVCeoDz4qPRHqJWrlk0O1MLPnUfIb7/h/tKleBZKXNsknhkzkKO9I9I2bw6PlFbit6UDWCztChxZQlFoVEyzOdW8KFzfLd9lt1A6khzPcxoDl4h/1jeQiqiSYyTYgR10OgwKRw9PODgBS88sRQwXAiapkLWCcry/mvlVq0UK6tD1eE04m13VW/+E7TkbHnzos+LMCpU9dekR0RuScB0gnodMUejDtIfJCFPHhMyZq9YKo6PdJ08eZOjeHYH1iDbJ04ELIu+eCKzrb9CwMjndawxMTl35vTMj8PckYO0X/x/v6lQ7xEUj3VlJXltWn1+NsQfGxmZW8fvdrlg7NC3YFP7elmV78/t+99fp6t1X/O4kPvnzIV2bNghq0EC3PaKz2VVnfkXcre/icHe3EXdjfcWQuvHgk+r7b+5Hh3Ud1MZg1JujFK+ppRK5eRou9RuBiEfe8EybFjlnzbR5VfVkdYgKB74vAIRRJBCn0uernuwtyV2w6OQilbLu7eGN+fXnC7VMcoC56O/FpiYeWGfB5NyDc/jt2G9YcXaFOjxj4VT+bqW6oX7e+vDy8LLqrI0hx/rDtetw//ff8XQ/8aY/F9+CBZGubRsE1q8PDz/L0pJfqkAYFV/9vSNwmrjaWdf3pgNFqeiZiGsjQIfk+K0ZOd13UU0TKsTWZKpbHLKcf3Ae0w5PAxdXZa5slqLpi6JFoRaok6eOwxdXdRa7aquXx1nwuB16GwtOLlCHusbMKa4HwhGwzQs3N2neMaXEvdlz1FrxLMywVnnnyomMH32k1gmHdrQTpzw2fwvs+NEwNd7oCdQc7NLOV1u9Aw7/nF3jgfVfGbr5anvKahhNkQTeDt9tSzoYHh2OpaeXqkzJ608MWYqpfVKjUf5GaFawGXIH5bakeUTfv69swb05cxDziNZyEo/AQOJ3b4K0rVrCJzjYovadxa5apKTcbBcExOFuF9jlofZAQAypPVB3jGcyl2mrP1vh9tPbaJivIYZWYg5FyySUnERXPmyD6NAYeKX1R87fFsM3r4MWPzLSyhR/jxxLv1qmON3N/Hqfbv4UW65sUenAc+rNUVkDIu6FgNjUxOPtyJg8iXyC9RfW44/Tf+Df2//Gdr5IuiJoW6wtaueurQ7RrCWcHvxk9248XLMWjzZsiI1UAqUFB1SpQtFKreFfvrz1o265mPSCVsDtEwYamaYziUvX8gNYa+Em7eqMABfIXfgBcHYzNUxcytXJKVLpM/py1zc9Xede69LclUdXMOPIDCw7swwRMcQzTMIOkXfyvaP2RoXTFbb++2eGJo5sV81Qx+JbHBkPpm7kOgKcVbHj6o7YA54cATnwQdEP0Dh/42QjXnmteEQcziELFyJ0N/FiPxeuj5T+w05IXYvoJBw5op37y4e6y7oZaKxYmF6kSl9xtls8+52ogX/oQHd1H/5qorohlQ17jVQZnEgB87rKNmDVuVWK0uziQwMHOwtnVzUp2ARVclSxiOc9mpztTD8YMm8eIi9fjm3f//XXEdS4EQJr1zaLgtCR7ap5IyF3OQoC4nB3lJGQflgdATGkVofYIR9wP+w+Oq7viFMhp5A/TX7MrTcXXNzFXHlGESv3ZszErZ9+AqKi4JsmEsGzF8O7oAMXJLt6AJhajaIrKG23x39AYFZz1Y+9jwvm8CEG83Ay1/O0t6aZFK1k8YOlAYdBQGxq4qFwNEzCosKw8+pObLi0AZsvbY7lc/YkCpXKOSqjTdE2qh5DCiulO3MkOzvZ2XnyaOMmxDzn3GXkvHPmVJFJQY0awTuzDWpecBFpLnLNBTTp8AGpyQ62mOfSXN4OYywcrSNMJ8TzYN/zA+i8VYFGRAMQmM3RemqV/jCVFDvdOfL46uOrsc/IG5RXZbhwBmBwasuiBfXsuKPZVT11M6ctR8MjmmokHLh1QB3orr+4PpaejHUrk6kMWhdtjWrB1eDp8WLaF95bPz14UB3IPlyzBtF37xqgobUpVeVKSN++vW0OZM0ZkIT3cPHMP6ho5n1yNvK+uyFFO5dqoUfL0oazIXByDWXTdQKoIL2i9nyH6IUK1HQ2LczqL2eU8/6T1xk+hHvGBw8kAd4BqJGzhlprXsvymtkZlc+io/F4+3YqnvwbnuzcydFgqv10HTogc18+6NAmjmZXtfVernZkBMTh7sijI33TFQExpLrC6RSNMX/ph+s/xJn7Z5DeLz3m1Z+HbAHmf1BHXLqE64MGxUbcBOZ8iqwflIdHmwWOj8f0Ogbu2vJUILDOMF36y7QUbda0UanC7LQbW30sAn2IG1fELRAQm5p4mB0BE07j33Vtl/rA2X51e6yTnXubOzC3KmbVIG8DZPTPqPs8ZadJ+OnTCN3zj/oQCt2zBxytaBTmZg+s/Zbi3E1ZpozVHP2JFLt9ihys9AF2bovhVxxt9u4vbuNg1X2gXaXB/TNpXhDXLhcWZV53jnYvS1RDntalVHIU+NhRuvPaTuV833p5a2zUO/ePAxQ4ErFqcFWUyFDipc5Sa+vjCHbV2jpqad8R8HhMDsQ9N/Zg+5Xt+OvyX/Gc7Lzfbpi/oYpm55ogL5JnFLTy9L//8Gjdejxctw5RN27EWyv4QDbNe03hkyO7Fnjsd+3TEKKQ+Y4O8oiijGsmpMlJWaUzgBxl7dcnebL9EbhJBUWXEK0MZ9WxlKTDl1pD6NCfHPBuIpxd9fvp3xWtmZFuhlXnb0YO/uCi3hWzVzT7GzLy2jXcX7YMD5YuQ44J4+FHhZS1iiPYVa19luudAwFxuDvHOEkvdUBADKkOIDpRE0fvHEXvrb1x5fEVZEyZEVNrT0W+NPnM0oCLtHDBlru//opn4eFI4euDzCVvIU3eUKTotoPKspcwq12b3mQsnspV47uT4z29eVgk7PO/t/5F141dwXQV+YLyYVz1ccgZSB8ZIi6PgNjUxENsD0y42Cm/hwdvHVSOds7miSvZUmVTBVBr5a6lslH0jGbnCKPwkycRuncvntDP0737YgvaGfvgnSOHooxJTWm+/mWpUKMtqQDunQO2E3/uoflU2SuKHKlk/6pRan/FTywuIO3yL7i7KHjnNBXP7QJcfV5LID3VPHmzN8AUbG7ieOehfhTxCBsvbsSf5//Evhv0Hj/neuffMe0MH6qXy1JORSSyM/5l0cp6Tx172FW9ddCzPXvgwYVPj9w5ouoh7b62G//d/g9Rz8imPpcg3yAVxc5rTYVsFV5ITxZ58xae7NiBxzu248mu3fGynjxSpULqmjWQum5dBLzxBlJ4W4/iTM/xUDWS/qED3N0/A+x0ZynVEqg7CvCTIBRdsXbWxrho94ZBhnnCkd5kU/E6ZUGU7+4WNDPGYeOod96rsuN9w8UNuB9+P3ZEOfOyWPpiao3htaZ0ptLJ0k8lnA5MeWruHtcedtVZp7P0WxsC4nDXhpdc7cQIiCF14sHT0PWI6AjMPjYbP//7M6LIwcKFAKfWmorgQO3p0VwZPWTBQtybNQvR9+6pXviXew1ZCx2HTyQ5tUpQ8TUuuuYMwql2c5sQb+0mIGcFoO1K3Qr4nLx3Et03dcet0FuKVqbXq71UgRxbfpA7wxC4Wh/FpiYeUWtjwtkk7FA/ce+E+mGnx4WHF+J1JAXxUnNBxIrZKqq0Xf5/cz9A4jbM0YjhZ88i7Ogx+jlq+CFn+7On9CEZR1L4+8P/lVeQqkJ5BFSrBh+qbaHH801+f7hQ3YXtRB8zBzjyB33bGopEoiBl+dQZQfnGL464NPkZcqFrIUCR3jgwC9hEUYdGh1na3EA5cojwOh+gfzaIIwPIdob5tznqnf98FGkoUGcUfy9/FElfRDlH1E+GYqqei7Xec2vbVUcei6T6Zm08uPjh2ftnwXu7kyEn1Tpz/O7xeA527leuwFxqnWFHe9ksZRM52dn5FXHuHEIPHKDi2AcQevAAIi9eiqcSFz0MqFwZgXXrEHVMZXj40qGoswgf1v37G7CXItrpnVGSsbChQGaeN51FC+mnLRHgg90/6UD3GlF9snj7E+9SG+CV1hS8VdyWPbH7s/gb/dDtQ9h6ZataazhrOq6wA54D5eKuMwXTFoQP0zRZQaxtV63QZWnSSRAQh7uTDJQjdfPnn3/G6NGjcYNS/0qVKoXx48ejXLlyL+zi4sWL8fXXX+PChQsoUKAARo4ciXr16sVezxuyQUTTMXXqVNynCtRvUFTDpEmT1LVGuUfOzk8++QQrV66kulYeaEJphmPHjkVAQIDJ0IghNRkqp7yQPxDWnF+DKYemqKh2FnY2fVPxG3DkjanCEZvMBXd/6VI83rQ5lg6B+YYz9fwEqe/PRYpTxMmXijiHuxNPY6r0pjZt/+s42nMyfQRQJBtKU9G4huN0i/LkwrQDdgzA3ht7lZ4c7d6tdDc1Bl4e7pGeb/8Btm0PrG1TnXGt0QMTjgDiw6vLjy7j0sNLuPTokvoQOXXvlKqZkJTw+8bRQBwVxNGFaf3Smj0Zoh8/RsSFi4g4fw7h5CyJOHdeOU0iLl6MRw9jfIAHOdhTUuS6/2uvIRX9cGE7m0cmRhFtzeU9AGfyHPkdePD/QlrIX8tQrC74xfsUs8GSG10LAS50uHcaRapOAEKNHNLEO12A5lDh+rSw1QCCnITeQqeRYacIO1v/ufGPWt+Zq5ujnRMK8/IyfQjTVvGfxv/nYAdfziyxQPSwqy96vLuuM4zHw4iHuPyQ1hlaY3i94XWGneznH5yPl+FgxC6TfybFyc4RqOxoz5E6RyysMUQdFnHmDMKOn0DYiRMIP35cHcjGUIHDeEKc7H4lSiCgUiXFzZ6S/j+Fl5PsETlwhZ3svM4cpcPcK4b9rpIMRGHBmTHF3nWrzBgLXmv3vZWDAk6uBrZRBsT1Q//HgbOli1NgFO9ZMhdzuwK71x5fU2uMca2JSz1jBIm/J41rTMK1JsDHdJ9QUpPPmuuM+0520ZwREIe7zANNCCykivFt2rTB5MmT8TpVgx4zZgzYoX6SNlWZMiUuerZr1y68+eabGD58ON5++23Mo4rS7HA/QNEOxYsbTnL57/z7WRRFnCdPHuWcP3z4MI4dOwY/Pz91TV1KL7x+/TqmTJmCyMhItKfiOa/Rhz23Z6qIITUVKee77tfDv2LW0VkICTekcjKFTI8yPdAwX8NkI644ajOCDoMUJQKltz755594Ka6+xAOXvkN7BFatgBR/tAMuUmEW/nhss5zCeyhS3NnkBG3yFr5v4JcsRAdfjSdTyqvpBxIvU5cdhfNPzFfZBZyezsIfaF1KdkGzQhQlKOJSCFjTpjrrWmMJJsvPLMeMIzPUgSEfIL5IOGuHo3wKpyusotdLZyyNNH5pkp1bzK/OWTtRt2+rgnRRd+iH/p+5L+P+xDwkp+MLhFP+/YoWVU51v2KGP31y5bItTUzcvrGjfTHZ5fNbDUXJjMKHrMUbA6/S77I5cEHrZEdNLrALAhFUVJdpiP6lPaaRasbYkYxFiJaoP1D0Hbt0zd4PZQc8O2SP3j0Kpu47dveYyraJiPl/rYaEfcyUMpNyzk5/a7pZmW+W2NWX4eWO6wwHpsw9Nlc52ePSOSTEiQNVCqctjILpCqp1hh3tmT3TIvrmTURcvkwHshfUIazxJ/IqFd9lR2ICSUHfcexU55od/mVeQcrSpeEZpM+e06bvwvqvycm+jA5z40ToUwQu8tMhHEcnF36bAlg8bNoleZiTI8AHOGco6/jATHLAr6X3h4p5GyUgC2Xl1QYaUGCUlYraOzJ6HIzJgSdqnTH+0HrzMpuVxjeNymp/t8C7Zn1zWmudcWScpW+2QUAc7rbB2WWewk52dnRPmEDRPyQxtLkKDg5W0edffEGFpxJI8+bN8YT4r1etWhX7m/Lly6M0bbjYac8GNVu2bPj888/RuzdFBpA8IIdA5syZMXPmTLRo0QLHKUqiKH3g7yWHaNmyhsIza9euVVHyV65cUfebImJITUHJOa8ZvXe0opHJkioLWhRqgZaFWyreN3YwxYSGIoYiNpVz6dZNRNHHQiT9RNEBTvjpMwiniJy4Rf0YAc80aRDYoAHSNG4E3yJFDE77a/8CXHiUo7WbUeo5b7KdVZhmgTlrfVIBXbYZCjvpKBw1NefYHCw4sUBtjj5/9XO0K95OxydIU46AgDVtqrOuNZZgsuTUEnyz+xs1tF4pvJA9dXYEpw5WVA05A4JRyD838vnnRECMN2LCwvCMfqIpepDtWzQ5yWMe0Z+PDH/GPH5E/0a/o99HhYQg+s4dRDEtFmXwmCKe6dPDlw7AmQ7GJ28e+PKf9Hfv7NmRwtGcChMrAreOEt9XBoNdLviW4TDRO6Upqso1gsDLEbh90kBNxHRs7Hznw+rmc4EiDQS55whEkqPowoMLit6K/2SHPP8///k40nAQxk73Tc0IQzPEErv6sse54zrz+6nfMXj34FhYMvqmR0HPbMiLDMj1LJ36yRqZCv4Pwp/vl2/Qn7dUQdNoykJ+mbAjnffMfoULw7dwIfjR//PaYfOMJzPmWLK3LKBAlRP0Lct0FrlozSlAzlCu8+BGhS+TxUguMB+BUNqfcdbEqfUUQEDfZZxFxPSfHcgRL6IQYJ8RR72fuTPqyPAAACAASURBVH/GsM48pHXm+XpzN+x5RhpdxwF3nUp00oyatdYZzR2RG1wOAXG4u9yQWk+hCEoX9KfU8SVLlqBRo0axD2rbtq2iglm+nCJ+E0hOouH47LPP0LNnz9jfMH3MMqokfejQIZyjNPV8+fLh4MGDyglvlCpUYI3/zrQx06dPVw75EHIaGCWKopI5+p2j6xs3pii2JCScilvyj1HYkPLhADv0A4kzUIucp4ODeEKH0omET6oTigX/9oyLqiRqT8fnJtW3JJ7JC5xV+8GNJ/EMk/R/fl80RVxF0AdfSi/KiKDucmFTLnTKznZTJEXKlCoCJ1XFCkhFB0J+lH2RZIrrqXWUTk5c8JmLmtKsY19zlfgDwymSNW9Vq/WT+fS5KA6nHltCcWG1DkrDFiFgrc2pM601eq4z574diCf791F9iGfwjIg22LHnjvWEh4KWDBw7RTwzZIAXOdW96E/v7NngTQfXcX84kt1p5BxFt3OWTpaSEmHoNIPmpB1lp8i5LXSwU1OKIZowhLx/5EP3q4+vKsd7+azlTbgr8SXWWGvcdZ25tGkl7k2cDN9H4fB4SIezD2gfmOT3QNJDxftlHyqE7ZM7l8pu8smdW/3pTT9eGTMmm1Vq1gRwhJsuEYUkU07lfsMQrCIiCFgLgcgw4NJuQ+v5qlnrKS7VLmdVMyUNrzW5g3Ijb1BezfpZY53R3Am5wSUREIe7Sw6rdZS6Rmnn2Sm6jWliKlT4P5VG3759sXXrVuzZQ/ypCcTHx0dRxbRsSdXan8vEiRPxzTff4CZFGXNbzNnObWfNmjX2mmbNmqlNG6d7Dhs2TLXBtDVxhSlsuJ1u3bolqfDgwYPV7xOKOQ7344UphVjEeRHw9IRXunTwoswJ/vHOnAlemTLDJ19e+BFljDd9PDhc1Kbzoi09dxMErLU5daa1Rs915nKXrnhMa2my4u0NDzpwTuHnC8+A1PBInRqe9BP/zwD6eyD9e4DK2FEOdv5JmxYpaF0WEQQEAUHAWRCwxlrjruvMo82bcaX7R4mGnouXeqZNA680aelP+kmfDt5ZssIrC+2Zs2Qx7J3pT15nrFUc11nmo/RTEBAEXA8Ba6wzroeSaGQOAuJwNwc1N73HmTanPER6Rh4+2kRpsIk41IhmJKEk8U9Jca8luVlNiqMtSd62pJ5rWl8SPdcez2TMTH2uyfrHHwgPX19whKb6ocK6Kejv8oHgpoZL1LYaAtbanDrTWqPnOhN64KBK2fcgR3oKv5TP//QD2zOOKlR/sqOdDhBFBAFBQBBwFwSssda46zrDdTt4rVHOdXas8w9lPbkE7Yu7vBCipyAgCOiOgDXWGd07KQ06JQLicHfKYbNPp50p/TIphMSQ2mfeyFMFAUHANRGwlk115rXGWpi45gwSrQQBQUAQSB4Ba9hVWWeSx12uEAQEAUHAXRCwxjrjLtiJni9HQBzuMkM0IcAFhsqVK4fx48er+7hoKvO0f/zxxy8smhpKPNorV66MfU7FihVRsmTJeEVTuWAq87SzsMFjupiERVP37duHV199VV2zfv161KlTR4qmaho9uVgQEAQEAf0QsObm1FnXGmtiot/ISUuCgCAgCDgPAtayq7LOOM8ckJ4KAoKAIGBNBKy1zlizz9K2cyAgDnfnGCeH6SVzqnOR1ClTpijH+5gxY7Bo0SKcOHECmYnfr02bNornffjw4arPzNHOBVBHjBiB+vXrY8GCBYqT/cCBAyhOhSlZRo4cqX7PPO158uTB119/jf/++w/Hjh1ThVFZ6tatqzjfJ0+ejMjISLRv3x5ly5bFvHnzTMZGDKnJUMmFgoAgIAgki4A1baqzrjXWxCTZAZELBAFBQBBwQQSsZVdlnXHBySIqCQKCgCBgBgLWWmfM6Irc4mIIiMPdxQbUFupMmDABo0ePxo0bN1C6dGmMGzcOHCXCUrVqVeSmivUcnW6UxYsX46uvvsKFCxdQoEABjBo1CvXq1Yv9/bNnzzBo0CD88ssvuE/8tZUqVQIXVi1YsGDsNffu3VNR9Bwp7+HhgSZNmqjnBhA/t6kihtRUpOQ6QUAQEASSR8DaNtUZ1xprY5L8qMgVgoAgIAi4FgLWtKuyzrjWXBFtBAFBQBAwBwFrrjPm9EfucR0ExOHuOmMpmiSDgBhSmSKCgCAgCOiHgNjUxFgKJvrNL2lJEBAEBAFGQOxq/HkgeMh7IQgIAoKAvgiIXdUXT2nt/wiIw11mg9sgIIbUbYZaFBUEBAEbICA2VRzuNphm8ghBQBBwcwRkrRGHu5u/AqK+ICAIWBkBWWesDLAbNy8OdzcefHdTXQypu4246CsICALWREBsqjjcrTm/pG1BQBAQBBgBWWvE4S5vgiAgCAgC1kRA1hlrouvebYvD3b3H3620F0PqVsMtygoCgoCVERCbKg53K08xaV4QEAQEAXG4J5gDsvbKSyEICAKCgL4IiF3VF09p7f8IiMNdZoPbICCG1G2GWhQVBAQBGyAgNlUc7jaYZvIIQUAQcHMEZK2JPwEEDzd/IUR9QUAQ0B0Bsau6QyoNPkdAHO4yFdwGATGkbjPUoqggIAjYAAGxqeJwt8E0k0cIAoKAmyMga4043N38FRD1BQFBwMoIyDpjZYDduHlxuLvx4Lub6mJI3W3ERV9BQBCwJgJiU8Xhbs35JW0LAoKAIMAIyFojDnd5EwQBQUAQsCYCss5YE133blsc7u49/m6lvRhStxpuUVYQEASsjIDYVHG4W3mKSfOCgCAgCIjDPcEckLVXXgpBQBAQBPRFQOyqvnhKa/9HQBzuMhvcBgExpG4z1KKoICAI2AABsanicLfBNJNHCAKCgJsjIGtN/AkgeLj5CyHqCwKCgO4IiF3VHVJp8DkC4nCXqeA2CDx48ABp0qTB5cuXERgY6DZ6i6KCgCAgCFgDAd6cBgcH4/79+wgKCrLGI5yuTVlnnG7IpMOCgCDg4AjIWhN/gGSdcfAJK90TBAQBp0NA1hmnGzKn6bA43J1mqKSjliJw5coV5RwSEQQEAUFAENAPAT7EzJEjh34NOnFLss448eBJ1wUBQcChEZC1xjA8ss449DSVzgkCgoATIyDrjBMPnoN2XRzuDjow0i39EYiJicG1a9eQOnVqpEiRQpcHGE9DnT1qXvTQZTro0oiMhS4w6taIjMeLoXz27BkePXqEbNmywcPDQzfMnbkhPdcZV5l7thpPwUsb0oKX6XgJVqZjxVfqjZesNfHx13Od0Tay+l6t9zzRt3f6t+Zu+lrDFug/Kvq36G7j7Cr6yjqj/7sgLRoQEIe7zARBwAIEXIXvS/SwYBLofKuMhc6AWticjIeFAMrtZiPgKnPPbAA03ih4aQNM8DIdL8HKdKyMTjamGWPqE6Fw1IadO13tbu+Vu+nrrrbA3cbZ3fR1JxstuuqDgDjc9cFRWnFTBFxlkRE9HGcCy1g4zli40seCq8wrx5od1u2NjJk2fAUvwUsbAqZfLXPLdKxcad3UprVcrRUBd3uv3E1fd7UF7jbO7qavVjsn1wsC4nCXOSAIWICAqywyoocFk0DnW2UsdAbUwuZkPCwEUG43GwFXmXtmA6DxRsFLG2CCl+l4CVamY+WuTjZtCMnV7jhP3NGOiM6BLv+yu+MYu/ygioK6IiAOd13hlMbcDYHw8HAMHz4c/fv3h6+vr9OqL3o4ztDJWDjOWHBPZDwcazzcqTeuMvdsNWaClzakBS/T8RKsTMfKldZNbVrL1VoRcLf3yt30dVdb4G7j7G76arVzcr0gIA53mQOCgCAgCAgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKADgiIw10HEKUJQUAQEAQEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBzuMgcEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQBAQBHRAQh7sOIEoTgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICAKCgDjcZQ4IAskgcO/ePXzyySdYuXIlPDw80KRJE4wdOxYBAQFJ3nnhwgXkyZMnyd8tWrQITZs2Vb9LkSJFomvmz5+PFi1a6D4mWnXgDlStWhVbt26N15cuXbpg8uTJsf926dIldOvWDX/99ZfCo23btqqIrJeXl+46cINa9eDrBw0ahPXr14P7mjFjRjRq1AjffvstgoKCYvto7bH4+eefMXr0aNy4cQOlSpXC+PHjUa5cuRditHjxYnz99dfguVSgQAGMHDkS9erVi73+2bNnSq+pU6fi/v37eOONNzBp0iR1rTVFix7ct9mzZ+PIkSOqS6+++iqGDRsWT+927dph1qxZ8br81ltvYe3atdZUA1r0mDlzJtq3bx+vP1wgOSwszK7joUWHpN5l7jzPqT///FPpYa+xsOpAO2HjQ4cOVWPy77//wsfHR73fyYm97EFy/bLF77WuCaaubbbouy2eocVOcH+SW3ts0Wd7PUMLVqasC/bSwxbP3bZtm9rT7N+/H9evX8fSpUvV3uplsmXLFnz22Wc4evQogoOD8dVXX6l1R0QQ4L0u78s3b96s9snZsmXDBx98gC+//FKtg64q5qz3zoaFFrvqbLol7K85dtGZdebv/T/++AMnTpxAypQpUbFiRfW9WqhQIWdWS/ouCOiOgDjcdYdUGnQ1BOrWras+KKZMmYLIyEjlfHvttdcwb968JFWNjo7G7du34/3ul19+UR8n3I7RUc9O3hkzZqBOnTqx16ZJkwZ+fn66Q6hVB6NTomDBghgyZEhsf/z9/REYGKj+znqWLl0aWbJkidWtTZs2+PDDD5Vj1RqiVQ929rJjmj/qihYtiosXL6Jr164oWbIklixZEttFa47FwoULwbjwQcXrr7+OMWPGKKfGyZMnkSlTpkQw7dq1C2+++aY6uHj77bfVPOMNzIEDB1C8eHF1Pf+df8/Oaj7cYef84cOHcezYMavMH36mVj3ef/99dRDAGzCe09xn/ijnj+3s2bMrPXhcbt68qd4Do7AzO23atNaYPqpNrXqwY6VHjx5qvIzC8yVz5syxf7f1eGjVgZ2SERERsf29e/euOviZNm1arMPDHmNhtUF24obZXvE6cOXKFfz6668mOdxtPf8cCV6ta4Ipa5sj6WdJX7TaCVPWHkv648j3asXKlHXBkfW1tG9r1qzBzp071UH6u+++m6zD/fz582r/wvuvTp06YdOmTejZs6c6XORDdhH3RoCDLPgdbNmyJfLnz68CNfhbonXr1vj+++9dFhxz1ntnAkOrXXUm3ZLqq1a76Oz6sv+CgwTZJxIVFYUBAwaod5e/RVOlSuXs6kn/BQHdEBCHu25QSkOuiMDx48eVo3bv3r0oW7asUpE3hhwZyg4RjsIwRV555RWUKVNGOVCMwk47U6KCTGn/ZdeYqwNHxbJDnR3EL9pYsEP42rVrsc5Hdir369dPHTjoHZVirh4J+87Obo6cefLkSWwkvjXHgp3svBmZMGGC6kpMTIyK7uKsiS+++CIRtM2bN1d9W7VqVezvypcvr8aC8eVoVp53n3/+OXr37q2uefDggRoDdgJYI0OCn6FVj4SK8QENO9IZBz6AYGEnL0fwLlu2zNJpbvL9WvVgTNkx8KJIY3uMh1YdEoLD7/TAgQPVAaBxU2yPsTB50NzwwuTmnRESe8w/RxkOc9eE5NY2R9HP0n5otRPJrT2W9seR79eKlanvpyPrrFffTNk/8b6QnevGjDd+Nu9VeF21dkabXnpKO7ZFgIOUOHPz3Llztn2wHZ7mqvZEq121A/RWe6QpdtFqD7dTw/ztz4FknB3PgWMigoAgYEBAHO4yEwSBlyAwffp05dgMCQmJvYpPcTlilx23jRs3ThY/TrllZz1HA3G0r1F4MWbHaXh4OPLmzasifzh6Pil6k2QfYgUd2CnB0cjs0OEo9gYNGqhIao5yZ2GH3YoVKxT1gVE4iol14WhsPmTQU/QYC+4PR/X2798/XhaCtcaCo4oZL46mj5tuzdQ7/KG5fPnyRBDlzJlTpV2zk9coHAXDTulDhw6pj498+fLh4MGDyglvlCpVqqi/M92R3mKOHgn78OjRI7UR4/eGD2pY2MnLevHhDDvjq1evju+++w7p06fXWwXVnjl68IcQR+RxVD4flvDBGWdwFCtWTLVp6/EwR4eEYJYoUQIVKlQAZ94YxdZjYZUBdqFGTf0At/X8cySIzV0TklvbHElHc/tijp1Ibu0xty+Ofp85WCW3Lji6znr2zxTHEjtfeO2MG8DBmW28z+GAARFBICECTDnEhzH79u1zeXBMXe+dCQhz7Koz6ZdcX02xi8m14Wy/P3PmjKI25YxrY0a2s+kg/RUErIGAONytgaq06TIIsGONaTvi0kmwcuw4/OabbxR/eXLSvXt3MHclp1jFFeYrZAcjO2SZY5ydqqNGjcKnn36aXJOafm+uDuyMy5UrlzoU+O+//1TkOvOOM18bS+fOnRVFy7p162L7ExoaqiJmV69eDU7111PM1SNuH+7cuaNSoDnCnbkTjWKtseDof3bUcqo+OziN0rdvXxUBsGfPnkQQsfOZ5xyn1hpl4sSJar4x/Qq3xVQt3HbWrFljr2nWrJk6rOEUTr3FHD0S9oHfA54rfIhjpE1asGCBmv9Mi3P27FmVjsiUS7t374anp6feaijMtI4H9+X06dOKhogdA5zezDyNrEeOHDlsPh7m6BAXyH/++UdlK/Dci1tHwNZjofvguliDpn6A28MeOArU5q4Jya1tjqKfJf0wx04kt/ZY0h9HvtccrJJbFxxZX737ZopjiekJOaCEgx2MwvvE+vXrg/eNzP8rIggYEWDHHe/Veb/F1DKuLqau986Egzl21Zn0S66vptjF5Npwpt9zQFLDhg1VMNmOHTucqevSV0HA6giIw93qEMsDHBEBpvJg3tuXCaers3PZEof706dPlVOUI8M5Uv5lwhHjHPFz+fJlkyCzlQ7GznAxoxo1aoA3whxhrZfD3VZ6PHz4ELVq1UK6dOlUZL63t/cLcdY6Fi9qyJwNZ3JOD3s42MzRIy4mI0aMUIdJfPDEjusXiTFad+PGjWqu6S2W6sH94ToORYoUUQcifFBj6/GwVAcufMzOIj5Ee5lYeyz0HltHbs9UG1e4cOFYNUz9ALf1/LMFzqbiZen6/KK1zRY6WvsZ5tiJ5NYea/fZXu2bg1XCviZcF+yliz2ea4pjSRzu9hgZ+z/TVFsed+27evUqOGOTM5E4I9XZxBydTV3vnQkLPeyqM+mbsK+m2EVn1i9h3zkAkTns2dnOwUgigoAg8H8ExOEus8EtEWCeMS4c+DJhapS5c+daRCkzZ84cdOzYEbyBzJgx40ufx/yWTLURFhYGLhyZnNhKB2M/mFeco485xZOLXOlFKWMLPZjOhPvM0dTMjZ5cYVqtY/GisTInpTK5tH57UEiYo4cRE45QYpoYdqIb6yC8bG7ze8LXs2NYb7FEj7h9adq0qeL/nz9/vlNRyvA7zBkrXAiZC8EmJ9Yci+Se7Uq/N9XGxa17YeoHuD3sgbXHxlS8LF2fX7S2WVs/W7Rvjq1Lbu2xRb/t8QxzsEqqn3HXBXvoYa9nmuJYEkoZe42OfZ9rqi03rn3spGVHO9ct4jXQw8PDvgqY8XStOvMjTF3vzeiO3W7Ry67aTQELH2yKXbTwEQ5z+8cff6woUjn7lzOWRQQBQSA+AuJwlxkhCLwEAWNRNuYQ5PRGFqZ/4crcphRN5Y1jhgwZFId3csIUJz/88APu3buX3KWafm+pDsaHMQd9pUqVFI84RynzSTYfEHDhRabYYeFU/T59+uDWrVsmHRpoUcRcPTiynZ3tfIjBKcxGDvqXPVvPsWD6DqbuGD9+vHokp92xY4M3KC8qmsop1itXroztInP/M+Zxi6ZywVRj1gTryGNg7aKpWvTgznNUO2PJVDL8AZWc8DvF2DCvO6cmWkO0jkfCPnDxV+Zv58LJP/74Y2wRW1uOh7k68PzgWhF8AJgcT74txsIa4+sqbZr6AW4smmrL+ecoGJu7JiTsf8K1zVH0s7QfWu0EF0192dpjaX8c+X6tWCW3Ljiyrnr3zRTHElMS8v6LuX2N0qpVK7XflaKpeo+Ic7bH+5Jq1aqpby0+TLUGraCjImPqeu+o/X9Rvyy1q86mb9z+mmIXnVk/7jvvPz/55BMsXbpUZTAzf7uIICAIJEZAHO4yKwSBZBBgLnLmzmZnJ6cNMw8lR+rOmzdP3cmbRKa/mD17djxOZKZe4TRa/shgB31cYWcqt8lOSI623rBhA9hhwj/M1a23aNWB+bRZP3YqsmOO6Sd69eql0sSYe5yFHY9cpJMjZtmxeuPGDbRu3VoVmGRuXWuIVj3YEV27dm3lROANAfPLG4Wjd3lDb+2xYE51LpI6ZcoUNT+4aNiiRYtw4sQJZM6cGW3atFG84sOHD1ddY4oITqdlGhbmN2VubcaTC9Eai9AwHRL/numOOJqAKYt4jLhOQHLR++aOi1Y9uI+cBcHziDnnjcJZEvzz+PFjNdebNGmiivLynGNue85G4I9yU7I8zNFFqx4cDc7vaf78+RU34ejRo9WBABdDLlq0qOqCrcdDqw5GnCpXrqzmGs+puGKvsTBn/Fz9nkuXLiknFNNe8Vzbvn27UpnnH783LJx+z/bCWLTb1vPPkcZA65pgytrmSPpZ0hetdsKUtceS/jjyvVqxMmVdcGR9Le0brxm8x2V55ZVX1OEzO0uZso8PzZmrnffGvC9mOX/+vNq/fPTRR+jQoQOYopDrFXE2IQdEiLg3AjxXOECJ60bxvjaus533h64qpqz3zqx7cnbVmXVLqu/J2UVX05drc/E3Hke3FypUKFa9oKAgqcvhaoMt+liEgDjcLYJPbnYHBNj5wdHI7Jjl9EZ2EI4bNy7W+XHhwgXl9Pzrr7/UhtEoXACSozT49wnTIjmihz9I+IOFT4jZmcL8Z1wcyBoplFp1YB55Lix65MgRMA1FcHCwcu589dVXCAwMjNWRi6Zyv/lkm53Z7FhmRzDTbVhDtOrB/eKPwKSEPwBz586toqusPRYTJkxQzjM+lOBDCp4/HPnBwnOG+8ERLkZZvHixwprnDkcM8IEGH34YhecMF9nljAJ2AnPmARdW5QMea4oWPVgnnh8Jhfs9ePBgcH2DRo0a4eDBg0oHPrjhwxHmReeDCGuKFj34oIm5onns0qZNq6KvmPKGnQz2HA8tOnA/ufAzO2o5Q4drGcQVe46FNcfZGdtu166dcjgklLjrC0dOcb0PvpbFXvbAEfDVuiaYurY5gm569EGrnUhu7dGjT47ahhasTFkXHFVPPfr1or0V7wF5L8O2ifcvfJ1R+P8ZNw4M4OANDhQw2jA9+iRtOC8CPGc4mCkp4fXNVcWU9d7ZdX+ZXXV23RL2Pzm76Gr68l40KYm7P3U1nUUfQcAcBMThbg5qco8gIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICAKCgCCQAAFxuMuUEAQEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQBHRAQBzuOoAoTQgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICALicJc5IAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAICAICAKCgCAgCOiAgDjcdQBRmhAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQBAQBQUAQEATE4S5zQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAENABAXG46wCiNCEICAKCgCAgCAgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAiIw13mgCAgCAgCgoAgIAgIAoKAICAICAKCgCAgCAgCgoAgIAgIAoKAIKADAuJw1wFEaUIQEAQEAUFAEBAEBAFBQBAQBAQBQUAQEAQEAUFAEBAEBAFBQBAQh7vMAUHASRCoWrUqSpcujTFjxqge586dGz179lQ/psjMmTPVtffv3zflcnXNhQsXkCdPHhw8eFA9e8uWLahWrRpCQkKQJk0ak9t50YXm9Mnih0oD8RBIkSIFli5dikaNGlkVGXcb66+//ho3b97EL7/8YlVck2q8RYsWeO211/D555/b/NnyQOdGQNYZ5x4/R+29rDPWGRlZZ6yDq7RqXQRknbEuvu7auqwz1hl5WWesg6u06j4IiMPdfcZaNLUBAu3atcOsWbPUk7y8vJAjRw40bdoUQ4YMgZ+fn0U9SLhBvX37NlKlSgV/f3+T2jXH4ZnQ4R4REYF79+4hc+bM4I2NpWJOnyx9pj3vt9VmMCkdBw8ejGXLluHff/91Goe7NfCyxZy7ceMGChYsiMOHDyNXrlw2n3JHjhzBm2++ifPnzyMoKMjmz5cHWhcBWWe04WuLd15bj6x7tTXspqk9lnXGgJQt5pysM6bOSrnOHARkndGGmi3eeW09su7Vss5oC2CzBl62mHOyzlj3PZLW3QMBcbi7xziLljZCgDeoHNU6Y8YMREZGYv/+/Wjbti26du2KkSNHWtSLhA53rY2ZszAndLhrfWZy15vTp+TadOTfW2PDZaq+4gjR1xESHR2tDp08PDwSDcF3332HHTt2YO3ataYOj+7XcYQ726OPPvpI97alQfsiIOuMNvxlndGGlyVXyzoj64wl80fudRwEZJ3RNhayzmjDy5KrZZ2RdcaS+SP3CgK2RkAc7rZGXJ7n0gjwBpUpWziS2ChNmjRRkaYHDhxQ/3T37l18/PHH2LZtm6JmyZcvHwYMGICWLVvG3vPkyRN069YNf/zxB1KnTo3evXtj5cqVL6WU+fHHH5Wj/9y5c0iXLh0aNGiAUaNGISAgQLVrymbwn3/+QZcuXXD8+HEUL14cX375Jd59990XUspcvHhR6cLORY5+mJbfzAAAIABJREFUZ5qb0aNHo169erH0M6tWrUL//v1x6tQp1f9p06aptpPq09mzZ/HZZ5/h77//BmNQpEgRDB8+HDVr1ozFJjw8HAMHDsS8efNw69YtBAcHq/Y7duyoruHo3j59+mD79u0qA6B27dr46aefkCFDBvV7PrgoUaIEPD09VTaCj48P2EHaqlUrpcuSJUtUBP/48eNRt27d2Oea0m7JkiVVJgPryO3yQQtvDFkYG8bLKBz5zAcaSQlHRvfo0QO7d+9WGQw8h3h8jWNpnGeVKlXCDz/8oLBnGhGmG/L29k7UJI99+/bt4/07zxVuh53GU6dOxZ9//ol169Yhe/bsqs2GDRuarHtSOvAzeZzu3LmDt956C9zXb7/9Nh6l0fLly/HNN9/g2LFjyJYtmzqc4jnH2SEvw+tl93Ff+B3s16+feg8fPHiA/PnzY8SIEQo/pkSKK4MGDVJjxO8iY87vGc+xKlWqYNy4cShQoEC8uTp79mx88cUXaj6fOXNG9TOh8Pzm9zeus9uceWekcGLHPT/zxIkTqFChAhYsWKAO8/hduXr1Kt5++2015+Jmu3BWzYYNG9R7IOJaCMg6I+uMrDOGd1rWGVlnXMu6O442ss7IOiPrjKwz8j3jODZZeuK8CIjD3XnHTnrugAgk3KCyk7ZWrVqKVoKdyCzsIJs/f75yIgcGBipHZ69evbBr1y6UK1dOXdO9e3f179OnT0emTJmUQ37r1q3o0KHDCznc2dlaqlQpxbnOTnduo3r16pg4cWI8h+GLONwfP36MvHnzqv7y8/iQgB2Q3NaLONzZ0cfOXnbQsnObHaesE9NZGJ2F7DQfO3YssmTJotplTNhZyY7hhIcAhw4dUji98cYb8PX1BTs3v//+e5w8eRI5c+ZUejRv3lw5orlN1pf7yU5d/nfWjak8OnXqhDZt2uDp06fK8RoVFYXNmzer+9nxyYcfffv2VfcsXLhQOVzZMd+4cWP1e3bQL1q0CJcuXVJOTFPbZZzYCcrOe+4jzwd2YjOmTAHEY8mO7jp16iiHf8aMGRPNYj5oYCcvO1bZGc2HCqwPY8p4sXC7zLvOz+ExYscv68Jz4MMPP0zUJuPAHHzsuN24caP6PVONpEyZUjncmfqID2c4KpoPGnje8eEAH9yYonvCB+7ZswcVK1ZUhyXMDc/PZcf2s2fPYh3u7Ajm+cNO7cqVK4MPWzp37qx042tfhFdy98XExKj58+jRIzWOfKDF85LxrlGjBiZNmqQOAnhOsbATnn/eeecdnD59GlOmTFFzmOcN94nvNc5V7h9jxIdK6dOnV4c9CSmdmHKJD3d4/F9//fVYaMyZd8Z3qHz58v9j7zrgpCie7oMj5yQ5SkaQKJJFESQIKiKICooJDCAKfyMqZsVARjAgGFBREUUBkSAIKIooQaIEyUHJ4eCO4+s3fIN7y4Xdu929mdnX/u6n3s10V73u6ep+XV1lfQdsq2vXrtahCL8PHiLwu+W45SETZbYLMadOhw8ftp5V8Q4CsjOyM7IzgOyM7Ix3ZnXnaSI7IzsjOyM7o/2M8+ZmSeQ+BES4u6/PJLGDEeAC9cMPP7S8nEny0lOWISdI3tJLOblC4rFatWoWqUYCjWQe62H8dxaSeCRFSfgFmjSVntr0sCYZzZKahzuTO5IQ3759+7l482PHjrU8dZMj3OnRTb1IkPoXmyykNy7JYF89KAuJw9Rk4js8Xace9D4nUV+1alXLc9fX691um57qJGRJctuF+pAYJcFKMp7EJ8OB2J6//G+Sz/TkJ8HPwph1JUqUsEhTkp1pqZf18ACFhx4kRlkCCSlDb3MSp9u2bbMOMVimT59u3VjYuXOn5X3PcUZ8SQiTSGYhnhxrxDupktIVzEGDBlne5ywk/ElAz5gxwzoYCER3//Z4EEDPch4a2YUe+CSB7QMf9h8JcN5OsAvHPA9CqGdyeKX23qxZs6ybCbylwf72L0mNORLtfHbRokXWQQELb6Jw3PAWBL9D+5YAY+DzoCe5wr/XrVvXOqzh+3ZJy7izvyEekhArFo4lYsa+5wEZC78P3pbwDWGzYsUKS07+PiPiyCcLkP6QbgRkZ/6DUHZGdkZ2RnYm3ZOqKjgPAdkZ2RnfG5Laz2g/o/2MDIUQSBsCItzThpveEgJJIsAFKj3Y6UVL4pIetgyPwXAPdiHB++KLL1okPJ+lhziJeXqp8nf08mboFXoY217dfJckHsNcJEe4k5SjRzHDTtCrlYR/bGysJQc9Y1Mjt+llz7ZtT3C2acuSHOFOvUjIcyFGIpTkO0l4FpsISUoPej2TpPeXiYcNJIa5gd61a5elA72zBwwYYHlgEx+SufxdUqFTSIwy3AjDufgWYkDSmkQsic+LLroIo0ePPvcICUkS+vQSZqEnNslr1sXQKmmtlx7GPDyhxzhLIIQ7PUqI97x5887JR/K6QIEC1i0HerpznNED3JdooKc7Q9H49p8vBikR7sTVPtzhOzyAoKc7bwkEorv/x8CxyvFMT3K78EYC+9wm3Ondz/62Dwz4HL8N3zGbFF6pvTdq1Cirb33D9/jKl9R38PXXX1tjl237yuOrB99juCU+k1LCYB7SkLTnzQTfGwxpGXf2N+RbF29IcKxyTNuFuDIUjh22ir+3DxHooc9bJireQUB2RnbG137JzsjO2LOb7Ix35vmM1kR2RnZGdubs3lv7Ge1nMno+VvvuRkCEu7v7T9I7DAH/K5gMb0Ev0/79+5+LMU4PVXqykzhnLHF6MfPvJOYZczothDu9WOkhT/Kb3uQMBcK46oxrztjUJGvDQbgTfnpik/ilZzHjtTO8TN++fdNEuNNTl97rxIdxtxnypEuXLhZJTrxIKnLhkxzhTkKdhwtJJailxzqxTir5LONwsw/4Yxdfsjet9fJgwcY+1IS7f64Ayk7vapK0SZVgkgxRZuLN8RyI7mkh3Nm3DJnDmwX+hZ7bPPBIinBP7T1uEDh+wkG4E+PkQjLZOthEt32jwpcI4UGafWDG36c27mzC3f6G+U5S33FSfctwC7ydwYMZO3+Bw6ZLiZNGBGRnZGd85xHZmeQJ99TshezMtefWarIzaZyQPfqa7IzsjOxMYIS77Iz2Mx41A1IrRAiIcA8RkKpGCBCBpJIMMV47vZYZC51GmaFBGMv73XfftUAjKU+yvEaNGhbhTq9fEuYfffTROa9jboQYUobxuZPycP/iiy+spKv0vuUGkoWhQBi3O1DCPamQMoxnTRI8OQ93/15nqAuS7wxnYZOFjJHOcCcsth700k0qpAwPIPh7ys1CLKg3caXePFggGUtyP6mQMky4SSwYJ54HGEmVtBDuaa3Xnwih5z3HQ0rhhQINKRMs4c5bFWybXvC+JSlS25dwD0R3f5yTCinD8ckwNTZhzTjrHPf2d5BUXyWFV2rv8RYAw/gkF1KGyXbpqc4Y73ZJKaQMwwzx0Ce1Ayu7Ln7PBQsWtELRsP/tkpZxlx7CnbiSiOeBmIq3EJCdkZ1JiQiRnZGdidTBruyMt2yLrzayM7IzsjOwblX7h8jUfqaldRNfdsa78780Cy0CItxDi6dqi3IEklqgMiyK7ck6cOBAi3xnfHXG2iYx98Ybb1ihUi6//HKLcGehpzrJSTtpKklPhgqhx3pShLvtFc+/kdBnLGqS3wxZEyjhTnKbCVcZt5vvkty2E3ImR7jT45ce0Ix/zXaYqJXhWUiy22Qhw7cwnAhjj1MPemGT4CQp4E9i0tuZSVBJyJMIJvHOenyTxfbq1Qtz5syxkm3y9gA9mRlyg0Q9Y39zEcDQO4wFzoMLJhQl1gx/w3AhaSE+01qvP+FOnHhQwFArTGTJ/vcvx48ft7z7GZaEhCk9lJk0lYlFfZOmBku4k2hmDgDefOAhRt68eS0ZUiPcA9HdXwc78S1vGjDcAWPqsy99k6byd8xdwPjxJLR5UMRxzMMSHhaxJIVXIO/xW2LuAn5bxJJhlqgnxzaTE5O0Zwgmjh/eiOAP+8pOmkpsHn30UWvs+CZNDcTDnXLzQIXfEj3tM4pw51zE8Z7SgUaUT9euVV92RnYmJSJEdua/5NyB2AvZmR+s9WdaPNxlZ1xrRlIVXHZGdkZ2BtB+RvuZVCdLPSAEUkFAhLuGiBAIIQJJLVBZPcPIkPwjmcx47SSQSRqT6CMJygSLPEG3CXeS3yTdp0yZYhGjjGFOz3HfE2X/cBSMF//qq69aHsSM833zzTdbMbgDJdwpJxcW9GindzA97kmSkjxMjnBn6BgeDDAxab58+SxCk3IwbrlNuDMMDMlLkpmUnx7cdpx3f8KdJD+xoRwMg8HkoZ999lkivenFz+SuJNGZ2JJx7vn/JOJZ2A7fYwx0Ys0DAMpF/Em6poVwT2u9/oQ7seCBC/UsVaqU9e+kCr3QedjBeOAcI+wDys9kpixJjbPUQsoQC44JjjuOER5qsJ7UCPdAdE9KBx4WMbY4+4iHDDwEYWJW35AsJEOeffZZa3wxJj893nm4wJscLMnhldp7TDLMwy3GZmesc5Lu/AY7dOhg1ctvi+OKslFGHmzwOyHmfId5FfgNMY595cqVrXcC9XDns/wmqAO/a/vGSVrGXVo93PmNFC9e3EqiyrAyKt5CQHZGdiYlIkR2RnYmEp6HsjPesiv+2sjOyM7Izpz9KrSf0X7G27O9tAs3AiLcw42w6hcCUYpAUmRhlEIhtaMMAXryX3rppWAiYl49jXRh0uYvv/zSCr2kIgS8jIDsjJd7V7qlhIDsjMaHEIgMArIzkcFZrTgPAdkZ5/WJJHIfAiLc3ddnklgIuAIBLVBd0U0SMkwIMHQSbyr06NEjTC0kXy3DJzEEUdWqVSPethoUApFEQHYmkmirLachIDvjtB6RPF5EQHbGi70qnQJFQHYmUKT0nBBIGgER7hoZQkAIhAUBLVDDAqsqFQJCQAgIgf9HQHZGQ0EICAEhIATCiYDsTDjRVd1CQAgIAW8jIMLd2/0r7YSAEBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCIEIIiHCPENBqRggIASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBISAEvI2ACHdv96+0czgC8fHxePzxx/Hxxx9jx44d6NSpE6ZOnYpMmTLh6aefxuDBgy0NJkyYgF69emHz5s0oX758RLTasmULKlSogPfeew+33XZbSNqk7C1btrT0cVqhXCy8OppSsa+Wzps3z9IlkGc/++wzdOnSxWkqS54QIuD/zYaw6ohVdfLkSWTPnj1i7amhyCAgOxMZnANpRXYmEJT0TFIIhGNNlhFIy85kBOqRaVO2JjI4B9KKbE0gKOmZ5BDQnkZjQwiEDgER7qHDUjV5BAGb3LbVIQFVtmxZtGnTBk8++SSKFSsWMk3feust9O7dG/3790e9evWsdi677DIR7iFDOPCK0rM4nTRpEvbu3Wv1o2+xyflwEO48oHnwwQcxa9YsJCQk4PLLL8fQoUNx4YUXpqo03/n000+xZMkSrFmzBmXKlAE38yppRyCSi9M9e/bgqaeewjfffIN///0XxYsXR6tWrfDuu+8mUiDQMbJs2TLcdNNNWL9+PZo2bQqOZ44JlfAhIDtzFttwkIhePdh1m53x/XoOHjyIKlWqYN++fQiHPQzfl+qcmsPxraSk3caNG6017+zZs3HkyBGULl0aXbt2xQsvvJDoNa4huBZZuHAhsmXLhg4dOuCNN97ABRdckOg5rjtuv/127N69G+3bt8f777+PAgUKOAdgj0oiWyNbk9LQTsqJKNK2Zt26dRg7dqy1J+F6lIdywTqYBToPefQzD7la2tOEHFJVGMUIiHCP4s6X6kkjYC9On332WcvDOzY21tpIfPDBByhXrhxWrVqFXLlyhQS+G2+80ap7+/btiepjm1myZLF+WDLCw/3MmTPWoidr1qyIiYkJib5OJkJOnTpl6cgNY7CL06uvvtoaF/6kdbgI96NHj1oHNIcOHcKAAQOsPiLZzj5jNvnChQunqANvLJBwZx1bt261+leEe/qGeKQWp9u2bbNIcZa77roLpUqVws6dO/HLL7/g66+/PqdEMGOERNgVV1xhkSATJ07EiRMnMH369PQBordTREB25iw8sjNJD5OkSBC32Rlfzfr164fx48fj2LFjItzTODdGknDnOoJOCLQvPXv2tNYUXCvQ/vDWo124dq1bty7y588P9jHtzmuvvWY5j9Am2esp/p7r53vvvRf169e31isXXXQRxowZk0Y09FqgCMjWyNY4fU/DMXrHHXegRo0a1r6X808whHug81Cg34yew3mOf+HCRHuacCGrep2EgAh3J/WGZHEEAvbi9Ndff0WDBg3OyURik147PPnv3r17krJyM5k7d+6A9SDJRc9okrUplYwg3ANVIhidnUy4B6qvE4iQIUOG4JFHHrE2tJdccokl+tq1a1GzZk08/PDDePHFF1NUhwQtvc9I1CdH4gSKh547i0CkCHeS4uxrzk8pHawEOkb++ecfy/N0//79lh48xKEnIz0aVcKHgOxMcNjKziDZuTpcB7uBziGp9STXNyRleSuHP/JwTw2xpP8eKcKdN+Zq165trWUZOi9nzpzJCkwCnXMZbRJJdhZ6xLdu3Rrjxo3D3Xffbf1u6dKl1gHx77//bv3/8uXLccstt2DlypVpA0NvBYyAbE3AUFkPytZE3tZw/cn9SN68ea0Du//9739BEe6BzkPBjYToflp7mujuf2kfWgREuIcWT9XmAQSSW5x+++231oaX12kZd51ewp9//rm1cejbty9+/PFHK6wDY7BzwcaN5eTJky1CnUQzNxsk7WnE7I2TP1x2XPBAY7jPmDHDIld5BS9z5sxo0aIFuEmm51BqhVe8n3nmGXz55ZfYtWuXRcDyAICHCkWKFEnyqn9KOnOTNnLkSLzzzjvYsGGDtXCiJ9Pzzz9/7uAiKcKdcjBW/RdffGFhxVAWxIoLLuoUTFmxYoW1Ufzqq6+sePgsv/32m9U+N/zEyS7t2rWzSEZeYWRJKqQMvSbuv/9+fP/999bm8+abb0bbtm2tH7uv+N78+fMTiUlPLvaxTYTQm5yYvPnmmyDBSQ9lbkYrVap07r3jx49bHmTEnj8plYYNG1p/JuHuW6666irwGvhff/0VMGwpEe72t8CxzbHMXANxcXHo1q2b1deUmV5t06ZNs9pjv73yyivWGGexx/mrr75qbdpff/116zp5s2bNrPAnJHY5PogFQ6MwbBO95woVKhSw/PaDvKHAuvidUn/GEqUHP2+qMNyOXXxlypcvnyUv+/niiy+2vO3sAwz7eZJDzKewadMmq7+ee+45a3yxb31vBSS1OGVIF17Jp0wc53yfcwCv1fsW9juxrFatWop6k9SoXr26Jec999xj3b7h7QRuVPxLoGOE3y3HG7HjN8F+oXe777cSdGfohVQRkJ2RnbEHidftDNdFPBwkKcK52J9wp/3nWoRhBThf057QM7pPnz7W/9v40ObydiHXBpxH7eJrZxlWgKH6Dh8+DNpDzmc5cuSwDqjpLMF59oYbbrDCF6QlXwXXDFxzfffddxYhxDUK7fnLL79srT2Skik12893Ro8ebdlHrsVq1apl/TdtB4udVyY5wp12YdCgQZg7d66lHw/euf6010C2TFwbsFSsWDHF+WnmzJmWLaAd4L9ZJ7FK6qYjQywyDCLXB76latWq1lqO5DsL13YMd0f7TrtMDA8cOIApU6akOlfqgfQhIFsjW+N0W+M7wtNCuAc6D2lPA8v+ak+TvjlVbwuBYBEQ4R4sYnre8wgktzgdMWIEHnjgAWujxrjrJJ8/+eQTizQkgdi4cWNrM0ivnSuvvNIiZHlFrk6dOtbmjJtIxvjmVVoS8iS6Sd7zqu1LL71k4UqvIC4cAiHcGeLm1ltvtTaVjJnJTREJXRJ79CJKKbkq26S83JyS/OMGiEQwQ1Jws0qZk9rcJadzjx49rKSuxI4bNMpEwpNELbEgac3iT7hTZspBYpKY0kNq8eLFVvgeErnDhg0LaryRPOTGnrhz0cbCOuzNOTd4JFn5XMGCBS3vK5LBLP6EO8NqEAeSoZSlZMmSllwknEns24Q7yXh6lZMUYN+y5MmTB9dee+05wp1kPzfmHBv0IOahCDfFNtnPd2zSwDdZblLKU3aOM/ab/3VsbtBJnJJs4IFHICUQwp04ME54x44d8fPPP1s4UGf2FfuM45+bc8YUZ0gSXkFnsccQ3ychfuedd1qHHNSfY44HPNSboZVIkpPE5xhj6IFgC8cvSXPePqlcubLloU2yhUQ5DyYog69M7BM+w0MCfm+UicQMn7cJbBLl1JkECOXi+Bk1apR1zZ7vpkS4M846D3pYN9vggRYPyPiNcZz4xvu3D20YXiOlwrZ5uMfDKRI0JFhIgnDe4Ldvf/PBjhEepPD7ZQgpfj+UsUmTJsF2gZ4PAgHZGdkZDhev2xlu7mkPuNbgfJkS4c45mgeKzZs3tw4p+UMHAB7I0lZwHv7oo4+waNEi65CbDga+tpPv82CXNsC2Jzwcpu3l3E1bZ9svEvwkpYMt9NSmvSJpz5CDnOcpH9dUq1evttYJvjIFYvs5d/MwgnqzXuLE+YFrFK4vUyLc//zzT4vwp03iepCOASS/ufainbjuuuvOqWjbh9TCxw0cONAi/OfMmWPZeTot8ACEdXHNYR+Ic91G+Xhozed8C9eEXBPwIN0uXJPx4IP2iU4JjOnO21Uq4UVAtka2xsm2xn/0B0u4BzMP2d+C9jTa04R31lXtQiAxAiLcNSKEgB8CtkGmZw49luhFyg3efffdZ5Ha9Fbi5oYEHMnFRx999Bxhzqro/UqylcTnE088ca52bqS4AeL7tocRiTYShf4hZVIj3Lm5o/cQ6yRBbhdu/uhZxMRWvr/372SSuvQco3eR74aMz5H08/XCp0cSdWVJTmeSz9wQk5gePnx4oubs+vhLf8KdGNEzjAcEJEnt8thjj1lEOD3Igk3eyE01E7PZZPb1119vVct+ISFM73S2R8LX1xPen3CnHiRFuXklzizsf44JbuZtwp2/Ty22LkkExiS045nahze8Tk3inSVQwp3jheQt+8/2gLNx42aY45QebxwHgZRACHceoJAstj3XScaSuOAhCckCltOnT1v9y7HtTxBQXo57xnll4Q0RHjIRSxIYdq4CJu7kN8IDg2C9D9k+f3xj8PPwiV7jPJCyE4rahwAklikTSQ0WkszXXHONdTBGTFhI4JOoIVnEQxQWEj0cK/YtBhtj/2+WhwskHNjHvqFfSAYRS3oy2lf1AyXceeDHscP66IlPkpwHQiSPeFDHgyAexqRljPAdekAyhmaghzWBjC89kzQCsjOyMxwZXrYzPEzg/MubYfRoTi70je3hzgNwkte+9oRkCm0FiVoWzukktbnG4TfEYtdLW8qbOfaBKe0JnSJo831zUtB+MaxaasRzUl+undfG9/Yd66GeXO/5eqXzcCE128+DaOpD728eYNu2kGtLrrfoPZ4S4U6HBnqPM8SYbTO55uIhONdBTIRtl0AJd9pB2kPaGWLHNSJvcrIfeHOKeYdo72i7aYeY/JQEu28hAc81HNfPvrac/UnseXjCA26V8CMgWyNb42Rb4/8FBEu4BzMP2d+C9jTa04R/5lULQuA/BES4azQIAT8EbIPsDwwJNm4GaahZbPL577//Phe7kr8nCUlyj0SdL3FFgpLe3PTitT2+00q40zu+c+fOlocrNy6+hZtbeumSTEyucGNqJ6ZJ7pnkPNy5EfTXmfqQ7CVpl1I4EH/CnYSr7TnuKwc3d9xIfvjhh9ZmPZhCbyter+bGnN5eJCK52ScxzL7jrQKSliTTfeX1J9z5LMlSbhBtoplycBPJzWQwhDu9p3kN3i5JEf6B6sgEM/QqT8qrjJ7h9O5n/bZHd2r1BkK4+x46sL4HH3zQujngn+eAG3N6w5EEZrHHEL336JFtF/tQiljSm84uNvlE4pcERFoLPejY//w3v1P2oR07NjmZ+L1y7FIGHhyRFODBGg8HOGZ8C4l4Hgok5+FOwoN1kRTyf5eHPiTKSVrYyU8D1ZN9yz5myCiS6zbpQ1KJRP7bb79t3SII9RgJVD49FzgCsjNnsZKd8a6d4cE+5ySSvjywTI1w981JwrFBe8IQfSSOfcOs0Wuca6sFCxZYY8iu19/O2vbEP4QN7RfXACTPbYI78C/3vyd5wEs7w/meYXNos7g2S0kmf9tPkp12gA4SvAllF94QLFq0qHXomxzhzttixIWH7wy/41u4HiP+vHlHOxZMoS5cW5Js5+GwXegcQWcI3urj+oxe9LxlwJB5tHW+hbcHGH6NdrVAgQLBNK9nQ4yAbI1sDRFw6p7Gf7gHS7gHMw/Z34L2NNrThHiaVXVCIEUERLhrgAgBPwRsg0yCkNdduSEjaUuPYV+vJhJ5vN7MTZvv77lJ4dVim3S0q2coEW48SDD6hjFJi4e7ncwsuc5j2BS2l1yhZy09v0loJ1eSI0KS0plhZEhOc3OXUvEn3OmNSy+45Aqvk3NzHEyxN7DcFNI7np5njA3LUED0hOAmnR7r9Fr2vVngT7jzPW547U29LYPtCR0M4U5ClFfb7WJjy7HGa+DBlLR4L6dUfyCEOw+LLr300nPV2B6JjMfOb8Mu/CbooW4n3LT15Ebd9lDkszZB4o+L/e2xnxj/P9jCwyBehaeHP0P/2IVX/3kIxZKcTPwbD1aoG4mKn376yQqrQoKbBLlv4WEXPSmTI9zpceiLS1J6JHW7JDV9ebDFeck/HAKJH3oL0suQ8oZ6jKQml/4ePAKyM2cxk53xpp1hv/K2DOcre/5MjXBPyp6QzPVfI9BWM1SJnXAzNXuSnP3iPJlS4umkvmoe4pLIJ6HNG3ice+1Cj3YS1SnZOH/bz3Be9MTne765RlgHb+FxLZcc4c7Hps0wAAAgAElEQVQDCl+7nJS8tFM8oAimcE3AcD6+4eH4Pte0dDyx7U8wnqXBtK9nQ4uAbI1sDRFw6p7Gf7QHS7gHMw/Z34L2NNrThHaWVW1CIGUERLhrhAgBPwSSi3foD5SdQJThXXxLJAh329OIsbQZW9u/8JDAJpCT6uD0EO5MFOuvc1oJd5KE9JDyj/9py8wDD3pzB1N4RZuhS+hRznd5zZuhduh5Ri9gHkRw00jvOTscCusPJ+Hu72GXFMkUqI7BxudOrd5ACHd/T3abcPf3PPT/Jmw9/T3ZkyNeAv32ktKJh0cknBnOiYQ4D0sY35zX4Okxb5PjycnEOn3DwqSHcCdxVKJECStmf3IHKvRcpIzBFN7U4Hi280j4vst5gDdoOM5DPUaCkVHPBoZAoGNdduY/PGVnrrYOif1DoSQ3n2aknWHcds6hjNNt3xAjyUEbTLKafUn7TGeFQO2JPRL8bwYGa0+Say+QL5dh8Bg2hjlUmDuDN5moA2/M0dvcJscD7ZP0EO72rUk6cdg3L/11ICEfbIgwhvbhzQQmT/Wtl+FhuHa0cxEFEzs5EGz1THgQkK05i2tyh7va05wNpxiME1Eo9zT+oz5Ywj2YeSi5byFQG6Q9jfY04ZmlVavXERDh7vUeln5BI5DexWlyIWUYU7xRo0YhCSnDxQ6v8DIZa5s2bYLWMT0hZZJanKY1pAxDY5Acp1d6KAvjnnITzA09E9RSZtvrl+F+GJpj0qRJ1ubfdxPP/7Y3zNxoktyg135qIWWYWJPedpEgQigj46ZSJnq4+RaOBZLL/Am0eIVwJ9HOPmB8fd/+4nV9LsiDJdzTE1KGXo+MDU9sOc5CVfi980CPhA/DCNiFh0x2Il07d0Mox0io5Fc9/yEgOxM8CSI74x47Y+elSOmbt8ONBEp2+Npq35uBkSTcGaqNJLvtyW7LxOShlSpVCppwT09IGfsmFcO88DA2VIWhExmihmslHizYhbfEmKOFYdIYao2Fh8bsa4Zo8C28EUpMmHhVJWMRkK2RrSECTt7T+H4hwRLuwcxDbiLctafJZdkf7Wky1n6o9dAgIMI9NDiqFg8hkN7FqR2fmhsgboTscuONN1qbklAkTWX8aIZL4VVhhk6xk4TZbdHzmIkqkyvpSZqaFOGe1qSpvJrMzba/JxXlZmxUxn1NS4xVxnBnOBp6nA0YMABMNsnCK+4kQxlTlnGuuSG0S3qSprJvSYaSQPAtgXq58R0mZOWVbcrsG682qT5k/HYm6/X1PGfYHB5g0NuNNyDswvAqJGOTuyngFcKdIZKYmJbflx3iiYdc9Pqm7sES7sSP+RE4DtOSNJVhFEi2M6a9nRg3ue+T/c7+55XflArDV1EXfhd//vnnuaRzXJDyoM83LmUwY8RD07drVJGdSTmRnezM+cm53WRnmKOCpLhv4QE2Dwt5o43zMpNZc+3iJsKdoc4Y5oVrHrvYDhC+CU4Dtf3pTZrKMDTM50FseavKt/ivA+2DeJLmKRXe0GL4Px7aMkm4bU/tZOe+sfbvueceK/QM1x92gnuS7IzxzhuE/rHlXTNBe0hQ2RrZGg7nYBJ0R9rW+H5uqRHuSc1jgc5DbiLctafRnsZDZijqVRHhHvVDQAD4I5DexSnDOXCzwQ0Xk2AxMSivVZOIt6/i2m2mNWkq3yeZxxAaJJG5OCLBTuKOsTfp1Ttq1KhkO5chYXjVmJskniBzE8kEXIxPznAVlDmY65dsiFfIGeKGV8XphUscmMyGG0I7Sax/DHeSjM2bN7c2jAydQDnokU5PZRIulMEmn+0ktYybynpSKrYnMJ8h4clYqCzc/NF7i++zHt/iT7hTNuJAD3cS9tzMUj/GBqe8vtcv7USqjDfPTSoJUXq9B7rpphz2szwMIQGRUmGMdB628N8k2Ela8ICBhwkknX0PW+jt7UsEsF7Kz75mYSgWhtzhwQQLdabsLE5YnNoyvPfee9YYSa7w7xzLnTp1sogc9i/HMhPGcbynhXCfNm2addWWxDsJdB6o8Ltiol/W6TuGfMPRUEZiym+MpAfnAX6n/MYYU3f27NnWf9vF9gZl8r3Uyvvvv2+FqeE44/fPb54bKd6e4ZhkGB2WYMZIam3q76FHQHZGdoajyst2xv+rSS2Ge2ohynzny1B7uNukv69dT+qrt50VaIuY44NrFea1YX4eEs7BhpRhG7Qpffv2tdZCvLlIW8X5wa7TJveTWpMxX1CzZs0sUpx2holbaXsYzodrFyagt4u9bvK/iZeUnkx4ysSnDJtDT0vWwzAzXGv63tqi4wLXIpSV6yTaRa6H6MxAh4Ds2bOHfvJUjUEhIFsjW+N0W8NQnyNHjrTG9aJFiywnLO5JOK/wx95D8u9JzWOBzkPa02hPE9TkqYeFQIgQEOEeIiBVjXcQSO/ilEhw08HNChN+cRPJBQLjYnIB4RvuIj2EO9vh5o7ezIzlSe9XkovctHFxklrSSRJ+3Dwy5jNl5NXgVq1aWUknmUgsWMKdZO/QoUOta8i8esxQMQ0aNABjntqEtz/hbmPF2wD0EiN5SO8xxm5nHO5+/fqd897v0qULpk+fDob64AIspUKykSE96NlNktQmIbkxZlxtEpUkLn2LP+HOv1EeboRJkLKum2+++dyBgu/GnIcE7F/KR49oxognfuEi3CkbN9Mk+HmYw8MNyk/8ea3dtyRFuNtjPCkMSeby7yxOWJzaZERStyB85SdZzW+BByr00CPBTdKA44r9kBbCnfXzGyYZQ3K9cuXK1tV9evTRw5ye73bxJ9z5e175Z+gXHm5QJn5XvIXABLokR+wSDOHOd5hslrry9gK/BSYBplz+sXoDHSPemb3do4nsjOyMPVq9amf8v0YnE+48uOahNQnslG4acZ3FPBoknWnrubahRyZvnLGkhXDneySbuPaineChN2051z88PJ8xY4ZVd3Ix+bne4m1BrgWYTJZrOZLgPBSgl6RdgiHcaU+Z8JZy0fYxRwjXBlzX+t+opC186KGHwFsN2bJlsw68qUtqicPdM1u7W1LZGtkap9sae25L6kuz91OpzWOBzEPa02hP4+7ZXNK7FQER7m7tOcktBKIMAW7e6EVP7ymV6EHA9vjzj1efkQgwji+JEIZzUhECQsA7CMjOeKcvg9GkYcOG1kE5D2idUHiIThtDxwN6lqsIASHgLQRka7zVn4Fqoz1NoEjpOSHgHQREuHunL6WJEPAsAvRcYMxXenKlFt/csyBEoWL0suOmhGFv0pIcOL2QMXwQPdd98wjYXpq8uUFPRxUhIAS8gYDsjDf6MVgtmBOH5DbDsVWvXj3Y19P9fGxsrBV6xff2o+2JSdvHm3UqQkAIeAcB2Rrv9GUwmmhPEwxaelYIeAcBEe7e6UtpIgSEgBAQAiFEgNdcmY+BYYgYt50hXBgXnuGSmKSOIWJUhIAQEAJCQAikFQEe4jI8HEOD0aYwzwdD85H8Zw4ahmlREQJCQAgIASGQHgS0p0kPenpXCKQdARHuacdObwoBISAEhICHEWAiJ8bmZxIn5jnInTu3leeA8dMrVqzoYc2lmhAQAkJACEQCAZIgjNfOsGnMrVOoUCG0b9/esjOMx64iBISAEBACQiC9CGhPk14E9b4QSBsCItzThpveEgJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBIZAIARHuGhBCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBISAEQoCACPcQgKgqhIAQEAJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACIhw1xgQAkJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhEAIERLiHAERV4Q4EEhISsHPnTuTNmxeZMmVyh9CSUggIASHgUATOnDmDI0eOoGTJksicObNDpYysWLIzkcVbrQkBIeB9BGRrEvex7Iz3x7w0FAJCILIIyM5EFu9oak2EezT1dpTrun37dpQpUybKUZD6QkAICIHQIrBt2zaULl06tJW6tDbZGZd2nMQWAkLA8QjI1pztItkZxw9VCSgEhIBLEZCdcWnHOVhsEe4O7hyJFloEDh06hAIFCoATab58+UJbuWoTAkJACEQZAocPH7YOMQ8ePIj8+fNHmfZJqys7o2EgBISAEAgtArI1ifGUnQnt+FJtQkAICAHZGY2BcCEgwj1cyKpexyHAiZSkEBeqItwd1z0SSAgIAZchoDn1/A4TJi4bxBJXCAgBxyOgeTVxFwkPxw9ZCSgEhIDLENC86rIOc5G4Itxd1FkSNX0IaCJNH356WwgIASHgi4DmVBHu+iKEgBAQAuFGQLZGhHu4x5jqFwJCILoRkJ2J7v4Pp/Yi3MOJrup2FAKaSB3VHRJGCAgBlyOgOVWEu8uHsMQXAkLABQjI1ohwd8EwlYhCQAi4GAHZGRd3nsNFF+Hu8A6SeKFDQBNp6LBUTUJACAgBzaki3PUVCAEhIATCjYBsjQj3cI8x1S8EhEB0IyA7E939H07tRbiHE13V7SgENJE6qjskjBAQAi5HQHOqCHeXD2GJLwSEgAsQkK0R4e6CYSoRhYAQcDECsjMu7jyHiy7C3eEdJPFCh4Am0tBhqZqEgBAQAppTRbjrKxACQkAIhBsB2RoR7uEeY6pfCAiB6EZAdia6+z+c2otwDye6qttRCGgidVR3SBghIARcjoDmVBHuLh/CEl8ICAEXICBbI8LdBcNUIgoBIeBiBGRnXNx5DhddhLvDO0jihQ4BTaShw1I1CQEhIAQ0p4pw11cgBISAEAg3ArI1ItzDPcZUvxAQAtGNgOxMdPd/OLUX4R5OdFW3oxDQROqo7pAwQkAIuBwBzaki3F0+hCW+EBACLkBAtkaEuwuGqUQUAkLAxQjIzri48xwuugh3h3eQxAsdAppIQ4elahICQkAIaE4V4a6vQAgIASEQbgRka0S4h3uMqX4hIASiGwHZmeju/3BqL8I9nOiqbkchoInUUd0hYYSAEHA5AppTRbi7fAhLfCEgBFyAgGyNCHcXDFOJKASEgIsRkJ1xcec5XHQR7g7vIIkXOgQ0kYYOS9UUXgS2/nscZQvnCm8jql0IpBMBzaki3NM5hPR6BiJwJDYO8afPoGDubBkohZoWAqkjIFsjwj31UaInnIrAYWNr8uXI6lTxJJcQsBCQndFACBcCItzDhazqdRwCmkgd1yUSKAkEnv9mNcYv2ox3bm2AK6oVE0ZCwLEIaE4V4e7YwSnBUkRg1p+78diUlWhVvSiGdKkttISAoxGQrRHh7ugBKuGSRGDvkVh0efMn8N8rB1+FrDGZhZQQcCwCsjOO7RrXCybC3fVdKAUCRUATaaBI6bmMROCl6WswbsEmlDce7t892ALZs8RkpDhqWwgki4DmVBHu+jzcicCyrQfQecxiZMoETO/XHNVL5HOnIpI6KhCQrRHhHhUD3WNKJiScQZ1nZ+FwbDy+vr8pLi5dwGMaSh0vISA746XedJYuItyd1R+SJowIaCINI7iqOmQI8Jr/Fa/Px74jJ/Fw26q4t2WlkNWtioRAKBHQnCrCPZTjSXVFFoH7Ji3Dtyt2oUWVC/D+7Q0j27haEwJBICBbI8I9iOGiRx2EwK3jf8H89fswuGMN3Na0goMkkyhCQPOqxkBkEBDhHhmc1YoDENCC3QGdIBECQmDKsu14aPJy5MoWg7kDWqJ4/hwBvaeHhEAkEdCcKsI9kuNNbYUWAeYKafXGD4gzcdxJuJN4VxECTkRAtkbEkBPHpWRKHYHhszdg6Oz16FS7JEZ0r5v6C3pCCGQQArIzGQR8FDQrwj0KOlkqnkVAE6lGglsQOHPmDK5/czGWbT2Ia+qUxPAbtUh1S99Fk5yaU0W4R9N496Kuz5mcIe8u3IxqxfPiWxNaJiaziTGjIgQchoBsjQh3hw1JiRMgAj9u2Ice7/6CMoVy4seHrwjwLT0mBCKPgOxM5DGPlhZFuEdLT0tPEe4aA65CYNWOQ+g4aiEM945P726ESy8s7Cr5Jaz3EdDiVIS790e5tzU8ePwUWgyZZ8XYHXL9xeh6SRlvKyztXImAbI0Id1cOXAltbEscaj8zy9rL/PJEKxTNqxu7GhbOREB2xpn94gWpRLh7oRelQ0AIaCINCCY95CAEHv9yJSYt2Wp5H37TtxmyxGR2kHQSJdoR0Jwqwj3avwEv6P/Oj5vw/LdrcEHe7PhhYEvkzp7FC2pJBw8hIFsjwt1DwznqVLlq6AKs23MEY2+pj7Y1i0ed/lLYHQjIzrijn9wopQh3N/aaZE4TAppI0wSbXspABA4cO4XLX/8BB4/H4amra+D2Zko4lIHdoab9ENCcKsJdH4X7ETgZfxqt31iArfuPo1+ryniodRX3KyUNPIWAbI0Id08N6ChT5rEpK/HxL1vRu8WFeKx99SjTXuq6BQHZGbf0lPvkFOHuvj6TxGlEQBNpGoHTaxmKAD3c6eme13gdzhl4ma5jZmhvqHFfBDSninDXF+ENBGas3IV7PlqGHFkzY57xci+RP6c3FJMWnkBAtkaEuycGcpQq8flv2zHws+VoUK4gPr+nSZSiILWdjoDsjNN7yL3yiXB3b99J8iAR0EQaJGB63BEInE44g+vGLMKK7YfQuV4pvNG1jiPkkhBCQHOqCHd9Bd5AgIm6u477Cb9uOYDOdY2d6SY7442e9YYWsjUi3L0xkqNTi83/HMPlr/2AbFkyY+XgNsieJSY6gZDWjkZAdsbR3eNq4US4u7r7JHwwCGgiDQYtPeskBP7YdtAi3Zl0aHLvxmhYoZCTxJMsUYqA5lQR7lE69D2p9nJjZ64ZvcjS7av7mqJ2mQKe1FNKuQ8B2RoR7u4btZLYRoAHuvWfn439JkzmlHuboF7ZggJHCDgOAdkZx3WJZwQS4e6ZrpQiqSGgiTQ1hPR3JyNgx0CsWswkUO3XDFmVQNXJ3RUVsmlOFeEeFQM9ipR86NM/MOX3HdbV/8/6NEamTJmiSHup6lQEZGtEuDt1bEquwBC4c+JSzF6zB4M6VMedzS8M7CU9JQQiiIDsTATBjrKmRLhHWYdHs7qaSKO5992vOxOoXmESqB4wCVS1YHV/f3pBA82pIty9MI6lw38I7Dp0Ale8Nh8n4k5jZPe66Fi7pOARAhmOgGyNCPcMH4QSIF0IvPnDRrwycy3aXlQcY3vUT1ddelkIhAMB2ZlwoKo6iYAId42DqEFAE2nUdLVnFf3kl614dMpK5M4Wg9kDLlNiO8/2tDsU05wqwt0dI1VSBoPA8NkbMHT2epQqkBNzjJ3JkVXxdoPBT8+GHgHZGhHuoR9VqjGSCPy6ZT9uGPsTiuTJjl+faKXbU5EEX20FhIDsTEAw6aE0ICDCPQ2g6RV3IqCJ1J39Jqn/QyDBJFDtMnYxlm09iPa1imPMzfIS0fjIOAQ0p4pwz7jRp5bDhcCJU6fRytym2nkoFgNaV0HfVpXD1ZTqFQIBISBbI8I9oIGihxyLQKy5NXXx4Fk4dToB8//XEuUK53asrBIsOhGQnYnOfo+E1iLcI4Gy2nAEAppIHdENEiKdCKzeeRgdRy3EaUO+T+h1CVpWLZrOGvW6EEgbAppTRbinbeToLacj8PXynej38e/Iabzb5w1sieL5czhdZMnnYQRka0S4e3h4R41qnccsshyGXr+hNq6vXzpq9Jai7kBAdsYd/eRGKUW4u7HXJHOaENBEmibY9JIDEXjum9V4d+FmlC2UC7MebKEr/w7so2gQSXOqCPdoGOfRqOOZM2es6/9L/z6A6+qWwtBudaIRBunsEARka0S4O2QoSox0IPDi9DV4a8EmdG9YFi91rpWOmvSqEAg9ArIzocdUNZ5FQIS7RkLUIKCJNGq62vOKHj0Zjytfn4/dh2PR94pKGNCmqud1loLOQ0Bzqgh3541KSRQqBFZuP4ROoxfCcO/44p4mqF+uYKiqVj1CICgEZGtEuAc1YPSwIxGY9edu3P3Bb6hcNA++f+gyR8oooaIXAdmZ6O37cGsuwj3cCKt+xyCgidQxXSFBQoDAjJW7cM9Hy5A1JhNmPNAClcwCVkUIRBIBzaki3CM53tRW5BF4+PPlmLx0O2qVyo+v7muKzJkzRV4ItRj1CMjWiHCP+o/AAwD8e/Qk6j8/29Lkj6dao0CubB7QSip4BQHZGa/0pPP0EOHuvD6RRGFCQBNpmIBVtRmCAK/83zFxKeau3YtLKxTCJ3c3QqZMIkMypDOitFHNqSLco3ToR43a+46cxBWv/YAj5lbVK9fXQrdLykaN7lLUOQjI1ohwd85olCTpQeAKk5B7075jePfWBmhVvVh6qtK7QiCkCMjOhBROVeaDgAh3DYeoQUATadR0ddQoum3/cbQeOh+xcQl4zSQh6qIkRFHT905QVHOqCHcnjEPJEF4E3vlxE57/dg0K586GuSaBav6cWcPboGoXAn4IyNaIcNdH4Q0EHvl8BT5dug19LquIR9tV84ZS0sITCMjOeKIbHamECHdHdouECgcCmkjDgarqzGgE3vxhI16ZuRYFc2XFnAEtUciQIipCIBIIaE4V4R6JcaY2MhaBU/EJaDt8geWVeHvTCniqY42MFUitRx0CsjUi3KNu0HtU4c8M2f4/Q7ozJwhzg6gIAacgIDvjlJ7wnhwi3L3Xp9IoGQQ0kWpoeBGBuNMJ6DhyIdbuPoLO9Urhja51vKimdHIgAppTRbg7cFhKpDAgsGD9PvQc/wtiTAz3GQ80R5ViecPQiqoUAkkjIFsjwl3fhjcQ2PLPMbQ0YcqyxWTGisFtkCNrjDcUkxauR0B2xvVd6FgFRLg7tmskWKgR0EQaakRVn1MQ+H3rAXR+czFMWHd8dOelaFqpiFNEkxweRkBzqgh3Dw9vqeaHQO8PluK7P/eg8YWFMemuS5UzRCMkYgjI1ohwj9hgU0NhRYD5pxq+OAfMD/KpyT11qbEnKkLACQjIzjihF7wpgwh3b/artEoCAU2kGhZeRuDpr1Zh4k9/o3zhXJjZv4W8Rrzc2Q7RTXOqCHeHDEWJEQEEmDPkyjfm46QJMTPqprq4+uKSEWhVTQgBQLZGhLu+A+8gcN9Hy/Dtyl0Y2KYK7r+isncUkyauRkB2xtXd52jhRbg7unskXCgR0EQaSjRVl9MQOBIbh9ZvLMDuw7G47/KK+N9VSkbktD7ymjyaU0W4e21MS5+UERg2ez2Gzd6A4vlymJwhlyF39iyCTAiEHQHZGhHuYR9kaiBiCExYtBmDp61GiyoX4P3bG0asXTUkBFJCQHZG4yNcCIhwDxeyqtdxCGgidVyXSKAQI/Ddn7vR+4PfkMXE2Z3Wtxmql8gX4hZUnRD4DwHNqSLc9T1EFwKxcafReuh8bNt/An0uq4hH2+lgN7pGQMZoK1sjwj1jRp5aDQcCf+48hA4jFiKPObD946nWyGLiuasIgYxGQHYmo3vAu+2LcPdu30ozPwQ0kWpIRAMCfQzhPtMQ77VL58eUe5taSe5UhEA4ENCcKsI9HONKdTobgTlr9uCOiUutg12GL6tUNI+zBZZ0rkdAtkaEu+sHsRQ4h8DphDOo8+wsHImNx7T7m6GW2a+oCIGMRkB2JqN7wLvti3D3bt9KMxHuGgNRiMAeE1KGcXa5kB3UoTrubH5hFKIglSOBgBanItwjMc7UhvMQuGPCr5izdq9J0F0YH96hBKrO6yFvSSRbI8LdWyNa2txubMhcY0O0T9FYcAoCsjNO6QnvySHC3Xt9Ko2SQUATqYZGtCAwaclWPP7lSuTMGoNZD7ZAmUK5okV16RlBBDSninCP4HBTUw5CYOu/JoGqCS1zyiRQHdm9LjrWVgJVB3WP50SRrRHh7rlBHeUKjZ2/ES/PWIs2NYrhrZ4NohwNqe8EBGRnnNAL3pRBhLs3+1VaJYGAJlINi2hBIMFc1+z+9s9Ysnk/mlUqgg/uaIhMmRRaJlr6P1J6ak4V4R6psaZ2nIfAcJM8dahJolo0b3YrgWreHFmdJ6Qk8gQCsjUi3D0xkKXEOQSWbT2AzmMWo2CurPhtUGtkVvhLjY4MRkB2JoM7wMPNi3D3cOdKNS1QNQaiF4HN/xxD22ELcNJ4IA7pcjG6NigTvWBI87AgoMWpCPewDCxV6goEmECVNmaL8Xa/o1kFPHl1DVfILSHdh4BsjfYz7hu1kjglBOJOJ+DiwbNwwtiR70wukKrF8wowIZChCMjOZCj8nm5chLunu1fK+SKgiVTjIdoQGGeubL5krmzmy5EFsx+6DEXz5Yg2CKRvGBHQnCrCPYzDS1W7AIH56/fh1vG/WMm5mfyuRsl8LpBaIroNAdkaEe5uG7OSN3UEbnlnCRb+9Q+eveYi9GxcPvUX9IQQCCMCsjNhBDfKqxbhHuUDIJrU10QaTb0tXYlAvPEguc5c2Vy545AVJ3Fcj/oKLaOhETIENKeKcA/ZYFJFrkXg3o9+w/SVu1G3bAF80aeJQgO4tiedK7hsjQh3545OSZZWBEbM2YA3vl+PDheXwOib6qW1Gr0nBEKCgOxMSGBUJUkgIMJdwyJqENBEGjVdLUV9EFiz6zA6jlyIeBPXfdRNdXH1xUpupwESGgQ0p4pwD81IUi1uRmD3oVi0ev0HHDt1Gi9eVws3XVrWzepIdgciIFsjwt2Bw1IipROBX0yeqa7jfkKRPNnw6xNXyiEonXjq9fQhIDuTPvz0dvIIiHDX6IgaBDSRRk1XS1E/BIYaD5LhxpOkcO5smPVgCxTOk10YCYF0I6A5VYR7ugeRKvAEAuMXbsaz36y2wpfNHdjSECiyMZ7oWIcoIVsjwt0hQ1FihBCBk/GnrTjuzDXFsJeViuYJYe2qSggEh4DsTHB46enAERDhHjhWetLlCGgidXkHSvw0I3DKLGbp5b5uzxF0rF0SI7vXTXNdelEI2AhoThXhrq9BCBABhi+7ZvQi/LnzMK6rWwpDu9URMDE263EAACAASURBVEIgZAjI1ohwD9lgUkWOQqD7Wz/jp03/4vlra+KWRuUcJZuEiS4EZGeiq78jqa0I90iirbYyFAFNpBkKvxrPYARWbD9oxXM/bULLjL2lHtrWLJHBEql5tyOgOVWEu9vHsOQPHQJ/bKONWYQzZ4CP7rwUTSsVCV3lqimqEZCtEeEe1R+Ah5UfPnsDhs5eL2cgD/exW1STnXFLT7lPThHu7uszSZxGBDSRphE4veYZBIbMXIsxP2y04iV+/+BlKGhCzKgIgbQioDlVhHtax47e8yYCT3+1ChN/+hvlC+fCzP4tkCNrjDcVlVYRRUC2RoR7RAecGosYAkuMd3s34+XOMGS/PtFKcdwjhrwa8kdAdkZjIlwIiHAPF7Kq13EIaCJ1XJdIoAgjwHiJV49YiA17j6KTCS0zQqFlItwD3mpOc6oId2+NaGmTXgSOxMbhyjfmY8/hk+h3RSU81KZqeqvU+0IAsjUi3PUZeBOB2LjTqP2M4rh7s3fdpZXsjLv6y03SinB3U285RNbRo0fj1Vdfxe7du1G7dm2MHDkSDRs2TFa6zz77DE8++SS2bNmCypUr45VXXkH79u2t5+Pi4jBo0CBMnz4dmzZtQv78+XHllVfi5ZdfRsmSJc/VuX//fvTt2xfTpk1D5syZcf3112P48OHIkyfwBCuaSB0ygCRGhiKw3Fz77/ymQstkaCd4pPFwz6lutDXhxsQjQ0dqeBiBmat2oc+Hy5A1JhO+7dccVYrl9bC2Ui0SCIRzXpWdiUQPqg0hkDwCdhz350wc9x6K466hkkEIhNPOZJBKatYhCIhwd0hHuEWMTz/9FD179sTYsWNx6aWXYtiwYSChvm7dOhQtWvQ8NRYvXowWLVrgpZdewtVXX41JkyZZhPuyZctQs2ZNHDp0CF26dMFdd91lkfcHDhzAAw88gNOnT2Pp0qXn6mvXrh127dqFcePGWSR9r169cMkll1j1BVo0kQaKlJ7zOgJ2aJnCJqTMrAdboLC5yqkiBIJFIJxzqlttTTgxCbZ/9LwQyAgEzpgg7ne9/xtmr9mD+uUK4rPejY2jRKaMEEVtegSBcM2rsjMeGSBSw9UIjJizAW98vx4dapXA6JvruVoXCe9eBMJlZ9yLiCQPFQIi3EOFZJTUQ5KdRPeoUaMsjRMSElCmTBnL+/zRRx89D4Vu3brh2LFj+Oabb879rVGjRqhTp45F2idVfv31V8tj/u+//0bZsmWxZs0a1KhRA/x9gwYNrFdmzpxpeclv3749kSd8St2giTRKBqnUTBUBhpbpNHIR1u05gva1imP0TfUUNzFV1PSAPwLhnFPdamvCiYlGoBBwCwI7D55AaxNa5tip03jeeC3eIq9Ft3SdI+UM17wqO+PI7pZQUYbAr1v244axP4FOQEsHXan9SJT1v1PUDZedcYp+kiPjEBDhnnHYu67lU6dOIVeuXPj8889x7bXXnpP/1ltvxcGDB/HVV1+dpxMJ84ceegj9+/c/97enn34aU6dOxfLly5PEYPbs2WjTpo1VZ758+TB+/HgMGDDA8n63S3x8PHLkyGF511933XUBYamJNCCY9FCUILBqxyFcO3oR4hPOWLHcGdNdRQgEg0C45lQ325pwYRJMv+hZIeAEBCYs2ozB01Yjb/Ys+P6hy1A8fw4niCUZXIhAOOZV2RkXDgSJ7EkETsUnWHHcT5h47t+ZZNtViysMmSc72uFKhcPOOFxliRchBES4RwhoLzSzc+dOlCpVCgwT07hx43MqPfzww5g/fz6WLFlynprZsmXDxIkT0b1793N/GzNmDJ555hns2bPnvOdjY2PRtGlTVKtWDR999JH19xdffNGqg2FrfAtD2LCee+65J0l4T548Cf7YhRMpvfEZxoZEvooQcBoCvIq/cM1k/PX3D6hT7XrUrXBlWEUcaq5wDjdXOfPnzIrvTWiZovlEiIQVcI9VHq7FqZtsjeyMxwa1h9U5dPIQNh7ciG3/rMbRXX/g2PF9yJolJ3IXrIDCJeqjYsFKKJ23NLJkzhISFE6bw1zmC2HekDY1imFcj/ryXAwJstFXSThsjexM9I0jaRx+BGLjY/H34b+xef86HNy5DEePbOd1eOTOWxL5StZD+cJVUSFfBeTKmiuRMD3eXYIfN/yDwR1r4LamFcIvqFoQAn4IhMPOCGQhQAREuGscBIxAuBenjM3OZKgME/PDDz+cI8XTSrgPHjzYIuT9iwj3gLtcD0YQgbjTcfjfnL6Ys2vRuVZvqXojHr708bCRFHGnE3DdmEVYteMwLq96AcbfdknY2ooglGoqQgiEa3HqJlsjOxOhwaZmgkaANmXRzkX4cfuPWLxzMbYfNcRHKiV7THbUK1oPTUs1xRVlr0CZvGVSeyXFv6/dfRhXj1ho3aQaY2LztjcxelWEQLAIhMPWyM4E2wt6XgicjwAdhVb+sxLzt8/H4h2LsXr/aiScSUgVqqoFq6JJqSZoUaoF6hWrh3HzN+OVmWutw9m3ep4NH6siBCKJQDjsTCTlV1vORUCEu3P7xnGShfP6Jcn2rl27YtOmTZg7dy4KFy58Tv+0hpSR56HjhpAESgGBV355BR+u+RDZDDFxibnpsThnDpzJlAmPG8K9e7X/boiEGsT1Jo771SMXglc6X+5cCzc2LBvqJlSfRxEI1+LUTbZGdsajg9vFam03HoWfrP0E0zZNw/7Y/Yk0KWHC8ZUz6638WfMhd86CiD99CkeO7cOezAnYnDUrTmTOnOj5hsUbokuVLmhTrg1iMsekCZXXZ63DyLl/oYhJzj3HhJbJnytrmurRS9GLQDhsjexM9I4naZ5+BI6eOoopG6ZYPxsPbUxUYb7Tp3FhXDyKZMqKPLkuMO6dma0bVf8mxGKLsTP7YxLbktJ5SqNx0XYYP7M48mXNj9+for1Rou3095JqCAaBcNiZYNrXs95FQIS7d/s2LJoxwRATmo4cOdKqn0lTGaf9/vvvTzZp6vHjxzFt2rRz8jRp0gQXX3zxuaSpNtm+YcMGzJs3DxdcYIyzT7GTpi5duhT169e3/jJr1iy0bdtWSVPD0suqNNIIrN2/FjdMu8FqdsSefbg8V1lMPLUTrxUuiJzmyv/0ztNRJGeRsIn11oKNeHH6WuTOFoOZJn5imUKJr3qGrWFV7GoEwrk4dautCScmrh4sEj7sCOw4ugNvrXgLX//1NeLPxFvtXZDzArTKWxFNV32L+mYtlrf4xcDVQ4FSZ9dSVjl1HFg8EgkLhmCz4UEWl6yB+SUq4Zc9v+GM+YelfL7y6F27N9qVbxc08c4k3e2H/4iN+47hhvql8eoNtcOOhRrwFgLhmldlZ7w1TqRN+BE4FncMk9ZMwsTVE8EwZSw5YnLgsmIN0Gz9AjTavwvFsuVDprYvA7W6AvYhrvGEx9pvgekD8c/xPViSrwgW1WiNufuWgXVaJSE7Tu5vggmdB6JJBTn/hL831YIvAuGyM0JZCIhw1xgICoFPP/0UTJI6btw4i3gfNmwYJk+ejLVr16JYsWLo2bOnFef9pZdesuplvPfLLrsML7/8Mjp06IBPPvnEism+bNky1KxZEyTbu3TpYv3/N998Y9Vhl0KFCoEx4FnatWtnxXwfO3as9U6vXr3QoEEDTJo0KWD5NZEGDJUejDACD8x9AHO3zUW7o8cw5J+DQM+pSJjYETeXKoFV2bLitotuw4AGA8ImFWPtdn/rZ/yyZT8uKV8Qn9zdWN4lYUPbOxWHc051q60JJybeGTnSJJQInDJe6u+uehfvrHgHpxJOWVU3LtEYN1W/Cc3iY5DlA5NYPiEOqHk9cM0YIGsyuTq2mHBmH98InDwMVG6DnR3fwJebvsbHaz8+R6zULFwTTzZ+EjUK1whKhaXGttww7ieQc/ngjoZoXjmxY0VQlenhqEMgXPOq7EzUDSUpnEYEGDpm1t+zMOSXIdh7Yq9VCw9ie9TogXbFGyHve1cDB/8GilQBbvkCKJAMYX50HzDJEPEmvjtyX4DjvWbg+4OrrRu+dD5iyZE5Lx5rNBDXVroWmY13vIoQiAQC4bIzkZBdbTgbARHuzu4fR0o3atQovPrqq9i9ezfq1KmDESNGgF4iLC1btkT58uUxYcKEc7J/9tlnGDRoELZs2YLKlStjyJAhaN++vfV3/q5ChaSTo9DbnfWx7N+/3/Kip6d8ZnNazljvbDdPnjwBY6SJNGCo9GAEEdhzbA/afNHGink4dftOVCxSE7j7B+CVcpiX+RT6FbsABbIXwJwb5iBbzNkDqHCUbfuPo+2wBTh26jQebVcNfS6rGI5mVKeHEAj3nOpGWxNuTDw0fKRKCBBYuW8lHl/4OLYc3mLVxhAwfev2RZ2idYDDO4GxzYHj/wA1rgGuHw/EpJIQdduvwERDnJjEd2g+EGj1pOV9SI/G8avG42jcUYsA6VG9Bx6o9wCyxgQeHmbw139iwuItKFUgJ2aZJN25s4cmOWsIYFQVDkcgnPOq7IzDO1/iZTgC+0w4mKcWP4WFOxZasjAEzH117zt744m/+OBaYPMCQ7KXA+6YBXOVKmWZTxjHognGzuxZCfDW1R3f40yW7Bg06xN8ueVdxOTYY73PfCIvNHvBSuatIgTCjUA47Uy4ZVf9zkZAhLuz+0fShRABTaQhBFNVhQyBccvHYdQfo1AvW2FMXPc7UP82oONwQ3p0RLxZwF5VuQb2xh/Fqy1eRdsKbUPWblIVTV66DQ9/vsKQKJnw1X3NUKNkvrC2p8rdjYDm1PP7T5i4e0y7RXoe0E78cyJGLBthhY9hyLGHL3kYbcu3PZv4mq7kH3YGNs41hEYt4HZDgmQLMFTYis+AKXcaKEw9xvsQ5RpbsJB0efXXVzFji/mdKfRyp10qmy+wq//HTsajzdAF2HHwBG5rUh6DO13kFrglZwYjoHk1cQcIjwwekFHUPJNuD1o0yMoHkjVzVtxZ607cUesOMMG2VRaZ/cr3T5mbU7mBO2cDxQK8/XRwK/BWS3Mg/C/QpB/Q5jkwp1SbofOQ64LFyFN8Lk7En0CerHnwdOOnw77/iaIularJIKB5VUMjXAiIcA8XsqrXcQhoInVcl0S9QLyi2W5KOzD27guZiqLTpqUmvu4woEEvk6hgkBVXd2SNlnjrxCYrRMBbbd4KK2aUp/cHv2HW6j2oUiwPvr6/GXJkTVuivLAKqsodgYDm1PO7QZg4Ymh6WojjccfxyI+P4IdtP1h6MqHp002eRj4TN/dc+W0iMM2QGFlM+JjeP5pg7uaafzBl6r3AHx8BBc0NxHt/ThSGZt7WeXhy8ZNWmJnchmQZ0mIIWpRuEVDtP27Yhx7v/mI9O7l3YzSsUCig9/RQdCOgeTVx/wuP6P4eIqE99wNjl4/FmOUmDJkpVQpWsQ5YLyxw4X/N/7MBeLMJYMKaoZPJ7VavZ3CirZ0OfNLdvGMOd+nlXroBGr44B/uOnMTIHuUw+e9X8Me+P6w6b6p2E/53yf+QJXMWxJkb9rGrV+Pkxo2I37sPCYdNGDSTbyRTtuyIKVIY2UqXQY7q1ZDd3KrPZJK0qgiBQBDQvBoISnomLQiIcE8LanrHlQhoInVlt3la6HX716HLtC5WwqEFe48h5+Ed1qITZRoCyz8BvuyNreUboUOmnciSKQsW3LgAebPlDSsm/x49iauG/Yh/zL9vb1oBT3UM0FslrFKpcicioDn1/F4RJk4cqd6Rafex3eg7t68V6zZb5mx47NLHcH3l6896tdvl+H5gpEmKesL8u80Lxnvw/uABiDXJ8EY3Ao6YsDSXm8Pfy/6XqA7K8ciCR7Bs7zIrxAy962+ufnNA7Tz8+XJMXrod5QvnwowHWiCnSdatIgRSQkDzamJ0hIe+l3AicPL0STy56EnM2Hz2NtONVW/EwEsG/ufVzl9at6hMXpCNc4BKrYGbzc0oXzsUqIBf9jH7nY+BEiYM2l1z0X/yCkz9Yyf6XlEJD1xZEW8uf9NKBl5+9xnc+HcJNNwUg/gtJlZ8ACVz7tzI1bgR8l11FfK2bo3MOZLJXxJAXXrE+whoXvV+H2eUhiLcMwp5tRtxBDSRRhxyNZgKAu+sfAfDlw3HZSWbYdSi/08A/PBmIJfx+ttuvN3faWViIZZExwsrWTF6X7/sdbQp3ybsuM5buxe9JphYvqYowV3Y4XZtA5pTz+86YeLa4ex4wTcf2ow7Z92Jvcf3olCOQhhxxQjUvqD2+XLPeARYMtZ4tVcH+hjv9iDirCeqbOXnwBd3GC/5nEA/k+AuX8lEf447HYfnlzyPKRumWL/vVbMXHqz3YGLyPwlUD52IM2ED5mPP4ZO4s1kFDLpah7qOH3wZLKDm1cQdIDwyeEB6uHnm7Lhvzn34bc9vlqPPoEaDcH0VQ6z7l3UzTZLtbsa+mNxSvAVVOI15n46aBKw8IGaybuMlPznhciu0Zd2yBTCldyMc+e47bB4zFNn+2v6fBDExyF6xIrJXrYqsxYshJn9+Q/ZnRkLsCcT/8w9Obd6C2DVrkHDIHBz/f8lscr4V6NoVhW67FVmLFvVwD0q1tCKgeTWtyOm91BAQ4Z4aQvq7ZxDQROqZrvSMIj1n9MTve3/HkzVuR9dvBwM5CgCP/r/nBr0Uh5xNKPxq20fw/rqPcU3Fa/B8s+cjov+TU1fhg5//RtG82fFd/xYomDt8CVsjopAaCTkCmlPPh1SYhHyYqUKDwF8H/rLI9n9j/8WF+S/EmCvHoFSeUudjc3CbIS/qnb3i3+NLoOIVacePHozjrwK2LTFhzgzxfvUb59XFsANMpjpsmQmFZgq93B+55JFUSfe5a/fg9glLLYfIz/s0Qf1yBdMup970PAKaVxN3sfDw/JDPEAUPnzqMe2bfgxX7Vlix04dePhSNSpibTv4lIQEYZxJy71kFNH0AaP1s+uRdPMqE0XzCHOqWxo6ei9D0tUW4ZO9avLh7LuI3bbLqPpM1C36rEoP5VeJwpPaFGH3Ne1bukuTKGSNj7J+rcXTeXBya+hXidprbWqYwxEyhW3uicJ8+iDEkvIoQsBHQvKqxEC4ERLiHC1nV6zgENJE6rkuiWiDGv23xaQsw+d2siweixFcm3m4p4+VhrlSeK6+UN2EBDmDJDeNw59IXLK/GeV3nWVf4w11OnDqNDiN/xKZ9x3DVRcUw9pb6qZIo4ZZJ9TsLAc2p5/eHMHHWGPWCNCTbb//udhw4eQBVC1a1cnnQFiRZvjZ2ZJmJ317ekCG3fZN+9bcsBCZ0AEyyPPT9zcR0L5dknZPXTcZzPz9n/a1b1W544tInUrUXD336B6b8vgMXFsmN6Q80V76Q9PeWZ2vQvJq4a4WHZ4d6hil25NQR61B39b+rrXwgtDMXFU4msfWqL8xJ6e1AdpM35IHlZ2/lpqfExQIjTEiZI7sQZxKkTnl9CS7eusKqkd7rBXv2QMGbbsK2zAdx53fmlteJvSiXrxwmtJ2QIului0Ty/diPJlTmuLdwYpm5rcV6ixRB8SefNOFmwn9rOD3Q6N3IIaB5NXJYR1tLItyjrcejWF9NpFHc+Q5Ufc7fc9D/h/6omL8ipl5gvBC/fxKo2QXo8u5/0r5tfr/jN8TdMAFN/3gJJ+JPYEqnKahcsHJENFq14xCuG7MIcafP4OXOtXBjw7IRaVeNuAMBzann95MwccfYdYuUO4/uRI/pPSyCoUbhGnir9VvIn91cn0+qHN4FDKsFJMSZ+C7mun+5xqFRc2InYPN8oGFvoP2QZOv8csOXeHrx0yZ1nUm+fXFv3F835djxh47HobUJLbPXJMi7q3kFPNFBoWVC02Heq0XzauI+FR7eG+MZqVFsfCz6zO5jhZEpmL0g3m7zNqoWqpq0SLz5NJbe7SuBlo+Zn0dDI/ovb+PwuEHYtbQQEk4C8caxaEOzDrjmjScRk/e/3FXbDm+zDgZ2HttpHUCPbzveOiA4ceIEcuY04c9SKLyRdXS+sTkvv4JTW7ZYT+br0AHFnxksb/fQ9KKra9G86uruc7TwItwd3T0SLpQIaCINJZqqK70IvL70dUz4cwJuqHIDnjp43MTcffP8q5mf3gKsmQa0exV3HvwFS3YvwVONn7LeiVQZN38jXpqxFjmzxuDbfs1w4QW6ghkp7J3ejubU83tImDh91LpHvv2x+3HrjFut/B08mJ3YbmLyZDvV+v5pYJEJ7VLWEO23G8I9VGXjPJPM41ogay7gwT9T9Gb09XR/tOGjqSZS9Q0t81nvxmhQPp2ekqHSWfU4CgHNq4m7Q3g4ani6Wpj4hHg89MNDmLdtnhVG5r2276FaoWrJ67TR3ML94LqA7EGgwJyJi8PeV4dg//sfWq+cKV0U91TpgRiTv2ruwJbnVUPSvceMHlaItfrF6mN48+GoXrk6unfvjtdffz3VZhNOncI/o8fg37ffNgfUCchWvjxKjRiOHFWqpPquHvAuAppXvdu3Ga2ZCPeM7gG1HzEENJFGDGo1FAACt0y/Bcv3LceLzV5Ex6WTDbH+tSHWjffgpcaL0C528rum/TGqyAUYt2IcOlXshBeavRBAC6F5JCHhDHqMX4JFf/2LWqXy44t7miBblvCHtAmN9KolnAhoTj0fXWESzhEXPXWfMjHYGUaGNqJE7hJ4v937KJ67ePIAnDoGvG6SpJpQZbjxY6Ba+9CBRY9GxuvdbTwarzA3sVoMTLHuscvHYvQfo5HJ/DPs8mG4omzKceQHfrYcn/+2HeUL57JCy+TKliV0sqsmTyCgeTVxNwoPTwxrRyjx4pIX8fHaj5EtczaMbT0WlxS/JGW5PugMbJxj9ip9zJ7llXTrkHDsGLb3ewDHFi2y6ipc/QgKtSqHqjsfx2kTKn7hI5ejdEFz2OtX1u5fay5y9cLRuKOosKUCpg2eZoUxW7x4MRo1SiLufBKSnvjjD2zv/yDid+9Gply5UHrYUORp0SLdOqkCdyKgedWd/eYGqUW4u6GXJGNIENBEGhIYVUkIEDh5+iQaT2qMOHP1f/p101Hm09tM6JilJvit8e6o3vG/FhYNN16LTwEXd8PCS3tayYzK5C2D6Z2nh0CKwKvYfSgW7YYvwAETAuDuFhfi8faG2FGJegQ0p54/BIRJ1H8W6QaA196fWvwUpv41FXmz5cWH7T+0EqWmWJa9D3zd18RYN4m2+5oYtZlDfCj6xyRg6j1AfhNW7IE/TP0xyYpD+Z//+XlMXj8ZubLkwkftP0KlgpWSff7QiTi0HbYAu4ydua1JeQzulEzc4HQjqwrcioDm1cQ9JzzcOpKdJfdn6z/Dsz89ax2ODm05FK3KtUpZwH83nk3KbZ5Hv9+BQsbepKPEHziAbb37IHbFCovwLvnME8j3hyHyzR7p0UJD8cnOYimGs/x196+4+/u78ddrf+H4quMW4V6pUiWsMPVly5YtIMni9+/HjocG4PjPP5vA7jEoYcLLFOhiwnuqRB0CmlejrssjprAI94hBrYYyGgFNpBndA2rfRuD3vb+j54yeKJyjsJUENdNQQzAc3nE2YSoTp9plxWfAlDutBHhHbvoYTT9uasXH5TtFchaJKKCz/tyNuz8wSfNMef/2hmhR5YKItq/GnIeA5tTz+0SYOG+cuk2iD1d/iFd+fcVKjv1mqzfRpFST1FV4qyWw0xAgrZ89G5os1CXuhPGgN2EGYg8CN5kbWVWuSrEFHib3/r43SIjwkPjjDh+nGA5nwfp96Dn+F6vOSXdeiiaVImvfQg2X6gstAppXE+MpPEI7vqKxtqW7l+KuWXch/kw8+tXth7suvit1GGYNAhaPBCpdCdxiEqemo8QZr/Ktt9+BU5s2WYlRy7w1Djlr1wa+NIT78o+xumgHtN96MzrUKoHRN5PkT7q8s/gd3NXMyG4uYrGQdH/66aetn0DLGRNiZtdTT+PQ1KnWK8WfeQYFu3UN9HU95xEENK96pCMdqIYIdwd2ikQKDwKaSMODq2oNHoEJqybg9d9eR6uyrTCsxWvA80XNYvE0MGAdkNcnbMAWc8VyggkNUMh4Nxpvks5fd8aGAxusa/p8N9Llyamr8MHPf6NInuyYYa7+X5A3e6RFUHsOQkBz6vmdIUwcNEBdKAoPY3lN/rSxBwMbDMStF92auha7VpwN+RJjPPoeWgPkDhNZPfNx4OfRQFVjk7qbsDWplAOxB9D92+7YcXQHmpdqjtGtTJgZQ4YkVwZNXYkPf96KUgVyYkb/5siXI2tqTejvUYKA5tXEHS08omTgh0nNf078gy5fd7FioLct3xZDWgxJcW62xDhtknG/bhKpHv833WHL6Nn+9823WGR7luLFUfbdd5C9YsWz2m77FXj3SiTEZEedY6OQKWcBLHuyNWIyJ2073njjDQwcOBC8WWWXLFmyYPny5ahRI/BE3Hx/7ysmjvyECVY1xZ97FgVviFy+rDB1taoNAgHNq0GApUeDQkCEe1Bw6WE3I6CJ1M295y3ZH1nwCKZvnn7Wq6R8B+ANE6Ils4lbO2hv4qv6+zcDI+oAWXICT+zCoEVP4quNX+Ge2vfg3jr3RhyU2LjTuGbUIqzbcwTNKxfBxF4NTeSC5AmUiAuoBiOKgObU8+EWJhEdgp5q7JCJv95lWhfsPrYb7Sq0wyvNX0mdBCECs0xc9cUjTDiyTiYs2Qfhw2TvWmDMpWdtFQ+HAyD21+1fh5u+vQmnEk6leoBw7GS8CV32I7buP44u9UvjtRuMt6OKEDAIaF5NPAyEhz6LtCKQcCbBun30866fUalAJUzqMAk5ucdIrayfZa4fGQI6t7nd+pCxBTFpy7Vx+ugxbL3tNsSuWmWR7eU/+hBZS5X6r3US52NM4u99azAYd2NCbEtMva8p6pQpkKSEF110EVavXp3obzEmNEy9evXw008/mSgxyYc/86/QIt1ffhn7J5oQbaaUeOklFLjOJAxXiQoENK9GRTdniJIi3DMEdjWaEQhoIs0I1NVmUghcsNC3IgAAIABJREFUO/VabDy00fL4awGTDOgd462er7RZxP6Z+PG4WOCFYmd/9/BmfLhluhVq4PIyl2PEFYZgyYCy3pDtnUYtRGxcAh5rVw29L/t/r5QMkEVNZiwCmlPPx1+YZOyYdGvr3Oj3n9cfc7fNRdm8ZTG542Tkzpo7dXUSTFa5YTXPhiTzzwGS+tvBP2GHrvFP8J1CTZ+u/RTPL3keWQxR/0G7D1CziJE3mbJ0y37cMO4n461onPZ71MdVF6WQKDZ46fWGSxHQvJq444SHSweyA8R+Z+U7GL5suEWyM9RXxQIBruG/MGFbVppwYg17A+2HpEmTBBO6Zdvdva146TEFCqCcIdvPebb71vj/+as25KiF1gcfw0Otq6Bfq8rntfmHSXpat27dZGUZMWIE+vY1uU2CKLTFe158CQc+MIfXxlO+7DvvIHcjc9Cs4nkENK96voszTEER7hkGvRqONAKaSCONuNpLCoHY+Fg0mtTIChkw54Y5KLrlJ2ByT6D0JcCds89/ZYgJJ8MrnH0W4VecwO3f3Y5SeUph5vUzMwzgSUu24vEvVxoCJRM+69MYdcsWzDBZ1HDGIaA59XzshUnGjUc3t2wnryMpzSSjNQoHeBXeDjuWPR8wcAOQNUd4YVgyDpjxMFDSxNS9e15AbZHAGDB/AL7/+3srnvvnHT9HrqzmoDmZ8vKMtRg7fyMK586G7x5sYYUwU4luBDSvJu5/4RHd30NatV/1zyrcMv0Wa//xbJNncV3l6wKr6tRx4FWT+DruGHCH2aeUMfuVNBTGST84eTIymwSpZSdORM5ayRy+Ht4FDDU20HjjNz85FMXKVsPn95yfy+SBBx7AmDFjEB8fn6Q0OXLkwLp161C2rEn2HUShzdo5YCAOT5+OzPnyofwnnyD7helLEBtE83o0gxDQvJpBwEdBsyLco6CTpeJZBDSRaiQ4AYE///kTN357IwpmL4j53eYj09J3gW8HANWuNnERPzpfRF6t3GuuS/b4EodK10ezT5pZzyzqvgj5shmSJQMKF6P3T/od367chdIFc+Lbfs2RP6fi7WZAV2Rok5pTz4dfmGTokHRl44xx3vmrzjgefzzVsCvnKTitP/Dbe0CdW4BrTXz1cJej+0wc3yoWEYL+q4ACZQJq8fCpw5aOe47vwc3Vb8ajDR9N9r2T8WdDl63dfQRXVi+Kt3s2CCy0TkCS6CE3IqB5NXGvCQ83juKMlfnk6ZPoOq0rNh3ahHblTciyFgGGLKPYq0yC1M9vN/N9OeCB5cxMGrQyBz6djN1MZGreLTNuLPK0aJFyHRM7ApsX4Pm4m/Hemavx+1OtE+X1iIuLQ7FixXDAxINPrsRkiUGrK1ph5syZQduQhJMnsfXW23DCeNFnNYR9+U8/QZaCci4KuuNd9ILmVRd1lstEFeHusg6TuGlHQBNp2rHTm6FD4Iv1X2DwT4PRqEQjvN3mbeCHV8zPi0A9kxyvUxJhYiYYIn7Lj8D1hpiv1QVXfX4Vdh7bifFXjcclxdPmZRIKbQ7HxqHDiB+xbf8JtKtZHGNurhf0gjYUcqiOjENAc+r52AuTjBuPbmyZh5d3fX8XluxagnpF6+G9tu8hc6bMgakSf+os+X3CEA49pgIVLw/svfQ+9Z5Jmvq3Sejd9mWg0T0B17ZoxyL0md3Hev69q95Dg+INkn137e7D6DRyEU6dTsBLnWuhe8PgPBQDFkoPugIBzauJu0l4uGLYOkrIob8NxfhV41EkZxF82elLFMiRdEz0JIX+uDuwbjrQfCDQyuQMCbIc//13/N3T7HEMSX7Bgw+iSO+7U6/hF7M/mj4QqzJXw9XHn8LYW+qhbc0S5977+uuvcc0116Rej3nio48+wk033RTQs74Pxf/7L7Z07Ya4HTuQu0VzlBk7FpkyB2ifg25NL2Q0AppXM7oHvNu+CHfv9q0080NAE6mGhBMQeOHnF/DJuk9w20W3YUAD49k+/X/AL2+Zhaz571ZPnS/iZLNIXW3IlLaGmG/UB/3m9sO8bfPwyCWP4JYaxqsxA8vybQfRZexixJ0+g2evuQg9G5fPQGnUdKQR0Jx6PuLCJNKj0N3tTV43Gc/9/BxyxOTAF52+QNl8QRDL678zSey6miR2RU0SU5PELnPgyeHShdrPbwIzjYd6uaZAL0PCBFEGLx6MLzZ8gdJ5Slv6phRa5u0Fm/DC9DXIlS0G080tqvJFAohpH4QsetQ9CGheTdxXwsM9Y9cJkq7YtwI9ZvQAE6aOuHwELi8bxOHs8f3Aa+ZgNyEOuHcJULRaUCrFGw/0zddci/i9e5G3TRuUGj4sMOecwzuBN6pbbV0SOxpXNrzYHL5efK7t6667DtOmTcPp06dTlCeT8ajPnz8/NmzYgCJFigQlOx+OXbfekO5dccZ4vBf930AUvuOOoOvQC+5AQPOqO/rJjVKKcHdjr0nmNCGgiTRNsOmlECPQa2YvLN2zFC82exEdK5ork7ymyeuaV70ENL73/NYYbubXd4AWhpi/YhBG/zEaY5ePRefKnfFMk2dCLF3w1b27cDOe+2Y1ssVkxpR7m6BmqfzBV6I3XImA5tTzu02YuHIoZ4jQ/5z4Bx2/7IijcUfTdoA69T7gjw/TlcQuTYof3GoStdYyoQGMp9+A9UCeCwKu5uipo7ju6+uw+9hu3FHzDvSvb0LiJFMSEs7g5neW4KdN/6JOmQJWvpCsxs6oRB8CmlcT97nwiL5vIK0axyfEo9s33bD+wHpcfeHVeKm52WsEU/74GJhqbiYVvcgQ7ouDedMkvz6DHQ/0x5FZs5DtwgtR3sRvj8kTxMHpO1cC23/FoLhemJunIxY9eoVF1v9rPM+LFy+ebOx2fyFjYmLQrVs3y9M9LeVcOByTRLX8hx8gZ506aalG7zgcAc2rDu8gF4snwt3FnSfRg0NAE2lweOnp8CDQ8tOW+Df2X3zS4RNcVMQsYCd2MnEK5wPXGS/32t3Ob3SeWRzPN1f36/cCOg7D9E3T8ciPj1jhBya2mxgeIYOo1QqJ8P5vmL1mD8oWyoVv+jVLFGcxiKr0qMsQ0Jx6focJE5cN4gwU95EFj2D65umoWbgmPmz/IWKC8VBPMDHU3zCehkf3AD2/Ai5sGVlNxl0G7PrD2CQTBq2+uYUVRPlh2w/oO7cvsmTKgs87fY6KBSom+/aOgyfQdtgCHImNR79WlfFQa+NpqRJ1CGheTdzlwiPqPoE0Kzzxz4l4belryJ89P6ZdOw0FcwQZh/yz24A/vzzn9BOMIIe++go7HzG3oUhUmxjoOS8ye55gyqLhwPdPYVFCLdx86jHMMkm0qxTLi1GjRqFfv34WoR9MmTFjBtq2bRvMK9az1sHBQw/hyIyZyFqyJCpM/RIxJpmqircQ0Lzqrf50kjYi3J3UG5IlrAhoIg0rvKo8AAQOnTx0Lunpzzf9jNxZjafHm+Za/h6TfO4W4+VeyXhz+JclhoifYbzbqxtivtsHWPPvGnT9pquVdHXBjQsCaDX8jxw6Hof2Jp47yZH2tYpj9E2K5x5+1DO+Bc2p5/eBMMn4cekGCRiz/c5ZdyKT+efjqz/GRYWDJCJ2/g681RLIlgd4eLMhNLJFVu0FrwJznzc2q7WxXZ8H3TYJdxLvDYo1sPKR0GsxufL18p3o9/HvJrY9LC/3+uUKBd2eXnA3AppXE/ef8HD3eI6U9LxJdM3Ua6yE3LwRy5uxQZXTJozMEHMgavYuuON7oEzDgF9n3PNNJpRMwtGjuKB/fxTp0zvgd889+O9GYGQ9nEZm1Isdi/vbX4K7WlyIunXrYvny5UER7plN7HV6xa9btw558hi7GWQ5feQINne+HnHbtiF/l+tR8nlj/1Q8hcD/sXcV4FUeS/QQJ4Qo7hbcixd3d2lxLVKgaAstUB5QrKVQ3AtFiru7u1M0ECBACEmIEFfezJ8EcpObXM+1nX79eK+szJ7du/vv7MwZsa+a1HQa1GCEwd2gpkMoo0sExEaqS3RF28ogcNfvLnoe6okc9jlwssvJhCrzyEsx5B3wHXm555ETpsh0M0w7k8iXGx4Tjuqbq0tVz3c7r1riI2WUVLPMHeJz75LI5z61TWn0/bqwmi2JasaCgNhTU8+UwMRYVq/+9IwhI0an/Z3wIvgFvinxDX6p8YvqypydC5z+DShJSbW/US9MXvVOk9XwewIsIeOLhTUZ/MkoYqcaldjb0Ldov6c9IuMiv9CrpaPQ6K13sPv2W+RzyYxDP9QRUVQaTZ7xVRb7quycCTyMbw3rQ+OxZ8bi2KtjqJC9Av5p8Y/yCbmTlH15AVjXCrB3A8Z5KJ0nhD3Cvfr1R/iVK8hMxvGCG/5BJvJyV0sSnZLGxQyGd6GOmPS1I8qo6imf2DEb3b///nssXEiRWWpI+PXreNWrt1SzwN9rkaVmTTVaEVUMFQGxrxrqzBi/XsLgbvxzKEagJAJiI1USKFFMZwjsfbYXky5OQvVc1bG6GfGyczjkdOK/5WREo8jL3Tl/6r49yRD/D3m3ZysBDL8m/X2THU0kDtwNLTagYg7D4RJcS3zu04jP3doyE7YNrolKBVQMXdUZ8qJhXSAg9tTUqApMdLHSTKvNTY82Yfa12XC1c8X+DvvhaKNGaPqqRsDbG2pRumgNzUVfAR+eUeQV8ciXonwkKsqqe6uw8PZC6QH6QIcDyGyVOc0WPkZSFNVf5/EmMALtK+bBgm8qqdibKG7MCIh9VXb2BB7GvJozRvcbPjfQ72g/yci+rfU2lHClO4SqcmwycImM0+WJ7rIjRdsqKcGUzNR7/I/IZGeHIvv2wqaACsnAU/ZxeibRas7BgbgaGB3/A1pHncaiBfMVJktNS1WOprp8+TKqV09wXFJVfKZNQ+Dmf2GdL580Ngt7e1WbEOUNFAGxrxroxJiAWsLgbgKTKIagHAJiI1UOJ1FKdwgsuLkAa/5bg24lumFSjUlAJIVpzk78EP3FB7CWY3B4/4BoZ2qRh0m2BE9Cku+OfYfL7y5jWq1p6ODeQXcKq9gye7UM23QLh//zQV7nzDgwojZcsmQw1YGKOovi6iMg9tTU2AlM1F9P5lCTacVa7W4F/nNyjcnoWqKr6sMO8wd+L0b16MF2zGPAMbfqbWijxiGiOrtGRpiqA4FW81RuMSouCm13t4V3mDeGVxyOwRXSpxy4+SqAoqgug3KpYn63CuhQKZ/KfYoKxomA2Fdl503gYZzrOKO0jv8Uj+4Hu+PBhwfoUrwLptScol7XS8go7UdnTKc1QLnOSrUR9/EjnrdshTh/f2QfPRrZBn+nVL00C3ldAfGOIQhZUTF8MYLXDEJQAJ2BSggnS42Li5MpaUePAJs3b0aHDurdneJCw+DZtg1ivd/BpXcv5Pr5ZyU0EUWMAQGxrxrDLBmnjsLgbpzzJrRWAwGxkaoBmqiiVQR+OPUDTr0+hQnVJqBHqR5AgCewkDz1mMv9F2/5fYWQIX4eeaaQlwomf6CQTgvMvDoT/z7+F/3K9MOYKmO0qqOmjbEnYttFF/DyQzjql8iOtX2qkspp8/Nq2p+orz8ExJ6aGnuBif7WozH0/Mf1P7D+4XoUdSoqJQy1slAjzP7uFmA3GadzlQOGUMi/vuTxQWBLd8CVOH5H3lJLi6Qk4OzdfqjjIWTLTA/L6chfJzww/8RTONha4dDIOijgJrwL1QLeyCqJfVV2wgQeRraAM1jdA54HMPH8RNhb2eNgx4MK91W56gW+Av4qn3D3+JHuKpmVi1j1mT4DgZs2waZIERSh5KKZbDR0umEe+TlEURkdgupPeuHaliVgQzp7qsfGxipE9vfff4d7KXfMeDQDYfZhmFBvAnqXSaCFUVdCz1/A60GDCJtMKLxzB+xKl1a3KVHPgBAQ+6oBTYaJqSIM7iY2oWI4aSMgNlKxOvSNACcv8gz2xIrGK1ArL3mtv74OrKFEqU7k5T76vnz1+GNzeqIRYjx99GZxk4ztbHSvn78+FjVcpO9hper/ofdHdFh6EVGx8RjbpDhGNHI3OB2FQpojIPbU1BgKTDRfV6bawuuQ11ICuxiiEFvaaCnq5Kuj3lA5pwfn9qgzDmhEIf/6Eo7QYkPIJ/IgHEXnl7PqtAEcFdXjUA/c97+PTu6dMLXW1HRHExsXj29XXcH1l4GokN8ZOyiJqrUlGYSEmDQCYl+VnV6Bh0kvd40GFxkbiTZ72ki0kyMrjcSg8mQYVkeurQIO0RlTgHjK+x9RqoWI/x7gZVeK2oqPR4F1fyNLjRpK1VNYaPM3wNPDGOPTAv9cfo9v6pRB/vz5kY9oXfLmzSvxsj98+FBuMzdu3MBXX32FnU93YurlqRKFGz/uOtmqlnckZeNvx4zFx0OHYF+lCgowR306ib8Vjk8UMAgExL5qENNgkkoIg7tJTqsYlDwExEYq1oU+EYiLj0OVTVUQGx+Lo52OIo9DHvqAPApspo/T3MTDPpi42tOSWWTIIAoCfE8G+uzFcdn7Mr47/h0KORaSOIANUbbfeI3xO+6xAwjW96uGusWJq16ISSEg9tTU0ykwMaklrtXBsMchex7WyF0DK5usVO+CToYM/E4e5REBZASh86OAlgwa6o50dRPgDeUWabsYqNxLrVZuvb+FPkf6SFzDe9vtRSGnQum28yYwXOJz/xgZi6H1i+Kn5pR4XIhJIyD2VdnpFXiY9HLXaHDrH6zHHzf+QK4subC//X7YWdmp196/3wJPDtGjLtHR1BmrsA1+PH3VqxcibtyEY6tWyDvvD4V1lC5wdQVw+Edc/FQOPaIm4jAlzi6V+0vuk44dO2LPnj2UFov4xlII//d27dqB72BdDnSBR6AH+pftj9FfjVa6e3kFY7y9JeqcT5GRyEuc8o7Nm2vUnqisfwTEvqr/OTBVDYTB3VRnVowrFQJiIxWLQp8IvAt9h6Y7m0oUAjd63IClhSVwdytRAxC/YZH6QO+9aau3gKgDgryAgSeBfFXAnpItd7WEjYUNrve8LhkqDFEm7rqHf6+9hou9NQ5Q+D/zugsxHQTEnpp6LgUmprO+tTkSzyBPtN/bnljXP2FLqy0ok62Mes0n5fRgGrIJFPJvaa1eO9qqdeo34NxcoGwnoPNatVv9/uT3OPfmHFoWbok5decobOfQ/XdSvhB+0N04oDq+LpY+FY3CBkUBg0ZA7Kuy0yPwMOjlqjflwmPC0WJXCwREBmiW44kfdudS9FJk0Od7h6JBhZw+jTdDhyGTrS2KHj0C61y5FFVR/u/9ngBLqiEG1igbuQojm5XD9w04j0mCjBw5EsuXL0dMDEUEJxP2Ol+8eDGGDRsm/dczr89gxKkRUoJuZSjMFCnot2gx/JcsgXWePChy6CAsiB9eiPEiIPZV4507Q9dcGNwNfYaEflpDQGykWoNSNKQGAtd9rpNDYn8UyFpA4lSU5ColnDtMiedKtwO6/pN2q8trAz4Ust+TaASKNZYoCapurIo4CuU/2eUkctjnUEMj3VeJjCGPEkpyd/9tMMrnc8K2wTVhZ00PDUJMAgGxp6aeRoGJSSxtrQ9i3NlxOPryKBrkb4CFDReq337SmVGkAT3S7lG/HW3VfHUJ+LtFQlLvcR5SjhF15OGHh+h2oBsy0T+72u5CMZcvxpS02pu46z496Hohe1Zbic+d/xRimgiIfVV2XgUeprnONR3V6vur8detv6R7xt72e9XLEcJK8H2D7x1KPux+osSkL9p3QJSHB9wGDkCOcURFo01hz/U/iSc9xBs9oiciKn9d7BhKtJyJMnfuXPxMyUtTJki1trbGONJl5syZUsnkFGY9S/XET9V+0kjL+IgIPG/RErE+Psg+6gdkGzJEo/ZEZf0iIPZV/eJvyr0Lg7spz64YmwwCYiMVC0KfCOz22I0pl6agZu6aWNmUDO0sZ38HTs+gUHxK4NM2HS72da2Bl+cTPAjZk5Ck+c7meBv6Fuubr0flnJX1ObR0+34dEI42iy8gKDwG31bLj1kdKQmTEJNAQOypqadRYGISS1urg3gS8ASd93eW2tzRZgdKuFISbHVlG50VDykaquEkoC491upbYqOJx70QEBNGtGh0RuVWf38fdXoUTnqdRJOCTfBn/T8VjiwiOg7tllzA0/ehqOOeTaIuEwm6FcJmlAXEvio7bQIPo1zGOlU6hJKK8r3gY/RHzKozC62L0L1BXbmyHDhCxuiiDYFeuxW2ErR7D95NnAgLR0cUO34Mlk6a8aPL7XAPeanf2YTlsW0wN+5b3JzUBC5ZEhKybt68GT169EhVjZOrdu/eHf/888Wh6dLbSxh8YrAUIczOT0y9o4kEHzgIbzLqW2TJgqInjsPKRbnkspr0KerqBgGxr+oGV9Eq5Vem177UhFcCGYGACSIgNlITnFQjGtLi24ux4t4KdC7eGb/W/DVB86O/AJeJ+7bWCKApGd7Tki30Ifn4ANB6PlCFEuaRDDw6EFd9rmJm7ZloU7SNQSNx7qkf+vx9jbxLyDbTqRy6VVU9uZ5BD9BMlRN7auqJF5iY6Y8hnWEnGZKbFWqGP+ppwGvLG+gflIA6zA/oR0nsClIyO0OQTV0Aj2NAk+nA1yPV1uhp4FN03tdZot1R9mHi6fsQoo+/gMiYeInLnTndhZgeAmJflZ1TgYfprXFNR7TszjIsvbsURZ2KYmfbnQm0lerK1p7AI8oP1ZCSctdN31s9PiqKvLxbINb7HXm2jyUP94Hq9pp+vXvbgF2D4GFZFE3CpmNBt4poXymvVOfs2bOoX7++3Pr16tXDmTNnPv8dm736HumLW7630K1EN0yqQY/XGgi396JTJ0Q9fAS3QQORY6xivnsNuhNVdYiA2Fd1CK6ZNy0M7ma+AMxp+GIjNafZNryxTjg/AQc9D2JU5VEYUG5AgoJ7hwO3Nyj2Vkz07EDjqUDthEQ/v176Fbs8dmFYhWEYWnGo4Q04hUaLT3ngj2NPYWNpgW1DaqJifmeD11komD4CYk9NjY/ARPxqkiPwPOi5xN3OVCm72+1GUWcNDMJ+T4nHtirASfAmUE4PKwOhULlE0VnHyGhRohXw7WaNFkAS9U6LQi0wtx5xwyshW4hWZgLRy1haZMLW72qgSiFXJWqJIsaEgNhXZWdL4GFMq1f3uoZRhFHTHU0l7/bf6/2O5oU0SODJD7ucmDv8g1KJuQM2bMT7336DVc6cEne7znjMP74jWpmSiIcFyhGPe4PyRbC4e0J07/Pnz1GsmHwaskKFCuHFixcyk3Dt3TUMODZA8nI/2vkosmXWLAfIZ/76zJklD3+rbJq1p/sVI3qQh4DYV8W60BUCwuCuK2RFuwaHgNhIDW5KzEqhXod64Y7fHdmP4a29yItkH9CSvB6rDUobjyMTgStLE4ztjadK5VbdW4WFtxeibdG2+K02Ja4zcImP/4TBG2/i+MP3yO1kh/0jaiObg4EYjAwcO0NVT+ypqWdGYGKoq1U/ev1y4Rfse74PjQo0woIGCzRT4gZRih2gM6BQHaAvRTwZiry+BqxpksDjPv4Zxc5SJlM15XHAY3TZ30VKBL6//X4UcFQcDcUehqO23sHeO97S2cJ87klUA2qqIaoZGAJiX5WdEIGHgS1QPauz/sF6/HHjDxRyLIQ97fZo5t3u+whYWoMedDMnPuwm0LbIk0+UpPRZ02aIffcOuX6dApdvv9UtEgvKAUFe6B79M+7bVMStyU1gTU48kZGRyEzGbnliR4lMw8PD6Vj6ci7xmdHzcE/c87uH/mX7Y/RXCY5M6gq397LbN4i8dw+ufXojJ9HrCDE+BMS+anxzZiwaC4O7scyU0FNjBMRGqjGEogENEGi4rSH8IvywpdUWlMlWJqGl9W2BF2eBjquA8l3Tbv3MbODMrAQ6GaaVITnkeQg/nf8JX+X8Cuuar9NAs4yrGhIZQ5y7F+HpF4bqhV2xcWB16WNZiHEiIPbU1PMmMDHOtawLrb1DvdFqVyvEforFv63+RdlsZTXrZgdFRv23A6g3AWhgQBf62ChgVj4gjvjcR9wC3DTw4ieEhp4YigtvL6BL8S6YUnOKUpiFRsVSGpQL8PQPQ8OSObC6dxXB564UcsZRSOyrsvMk8DCOdZsRWkbTvttiZwv4Rvjif7X+h47uHTXr9hrdRw4RjUzhekAfcghKR5K42y3Jo7vYyROwsNWxE81Ooqu5vx3LMnXDnIh22DyoOmoVTfAmd3Z2RnBwsFxtAwMDpb9PLmden8GIUyOQhRLDHut8DI42jhrhFnr+Al4PGoRMNjYoSl7u1uTxL8S4EBD7qnHNlzFpKwzuxjRbQleNEBAbqUbwicoaIBAZG4mqm4gKgOR8t/Nwtkv88FtBH7Tv7gDdiZuweLO0e7iyjBIYkZGFE6Zy4lQS9szocagHctrnxIkuJzTQLmOrPvMNRXsyurOBpG+tQpjaNvHxIWPVEL1pAQGxp6YGUWCihYVlIk3MujoLmx9vRvXc1bG66WrNRsVh/n+WAkIorL4PcesWrqtZe9quvZo83N+Qp3t7SrZXUTMvx5vvb0ocu9YW1jja6Siy22dXStuH3h/RfulFRMfGY2KLkhhcTzPDv1KdikIZgoDYV2VhFnhkyLIzik52PN2B/13+H3LY58CRjkfIicVaM7239wUeUKLUBpRjqt6Pabb1KT4enm3aIproXLKPHYNsZGzWuSQ+Bjx2qI7m/j+g/9eFMaVNaanbMmXK4OHDh3JVuH//PsqWlX3wjv8Uj077OuFZ0DOMrDQSg8prpj97ub/q0RMRt27BhRK45pqsGTe8zrEUHaRCQOyrYlHoCgFhcNcVsqJdg0NAbKQGNyVmo5BnkCfa7W0neVJc/vbyl9DGvyoCgcQt2P8oUIBCONOSO8SLu4d42os1BnrulEp9iPiA+tvqS9zAN3reIG70tMM+DQ3oYw988N2Gm5JaczuXR9cq+Q1NRaGPEgiIPTU1SAITJRaOGRQJjAyUOHUj4yKV3zw/AAAgAElEQVSxsslK1MyjYYLTAE9gYSWA93nmb7eWHz6vN2iTEoAni8JSVxc2XPQ+3FuiYOtXth/GfDVG6aY2X/XCz7sT+Ny3EJ97VcHnrjR2hlxQ7KuysyPwMOTVmnG6xcXHoe2etvAK8cL4KuPRu0xvzTrnh915JYDQ90Rbdojoy75Os72QEyfwZvgIWGTNimKnT8HSwUGzvpWp/e4usKIuYqyzonjIMhRwc8CZcXQPIrqYli1b4vDhw3Jb4f/evHlqXvsDngcw8fxEuNq5So+7dpwfRQMJu3QJXv0HIBNzuZ86CSsXFw1aE1UzGgGxr2Y04ubTnzC4m89cm/1IxUZq9ktAbwBcfHsRQ04MQTHnYlLivM8ypzAQEQAMuwLkIO/FtOTxQWBLdyAfeckPTPBmZ6NEtU3VJIPOoY6HkD+rcRmtF5x4igUnPKQkqlsH10ClAuLDVG8LVM2OxZ6aGjiBiZqLycSqJeXYKOVaCltbb5Xhj1VrqPcoCmoXeeAlOwPUakdXlR4S9cA2ykmSk7wIh17UuJfTXqcx8vRIZLXJihOdT8De2l6pNvlcHE187nuIzz2noy0OEp+7yBWiFHQGXUjsq7LTI/Aw6OWaYcol0aKouk+mqSDxo4N50i2sgIlv6WFXvgE6OWe52+DByDF6VMaMOS4WmE15PShJbMuY3/EwLi+Oj64L95xZMZj0WLt2LWJjqUwKWb16NQYMIEq2FBIbHyvRvnmHeWNarWno4N5Bo3EwLi86dkLUo0fI/sNIZBtKjlJCjAYBsa8azVQZnaLC4G50UyYUVhcBsZGqi5yopykCuzx24ddLv6J23tpY1pjoYVjYk2SaG/0ZB4yhJEWOedLu5uUFYF0rIFtxYPj1z+Va726NVx9fYW2ztaiaK4GyxlgkeRJVNozsH14bORw18y4xlrGbip5iT009kwITU1nd6o8jJj4GzXc2h2+4L2bWnok2Rduo31hSzcNEKXaVzo7qQ4AWczRvT9sthPgkeEZSxJXkgW+nGR8uh/vz+fY65DUm15iMriXSyXGSYixhzOe++AKeU66Q2sWyYX3/apLHuxDjRUDsq7JzJ/Aw3rWsTc0HHh2Iqz5XVY4ESlMHppJhSpncFYDB59IsFn79Ol716o1MxNkueXK70V0mo2Q9nacvzuFv19H4n3dVjG9WAt83KIbp06dj2rRpqQzuVlZWmDRpEn799Ve5Gq77bx3m3ZwHdxd37GyzU+PH8eD9B+A9fjwsCRPGRue89hmFuxn0I/ZVM5hkPQ1RGNz1BLzoNuMREBtpxmMuekxAYOmdpVh2dxk6F++MX2smfvRFhVKiubwJBX72BmyypA2Xz31geW3AgZLwjHv6udyAowNwzecaZtWZhdZFWhsd3JxEtePSS/AgXveK+Z0lCgA7a0ujG4e5Kiz21NQzLzAx11/Dl3EffnEYP577EW52blIyNq3QfSVxpHdYCVToZpggLygPBL0CepHRpmhDjXXc+HAj5lyfg8JOhbGn3R5YZFI+wfbT9yFot/giImLiMLJhMYxpyo8BQowVAbGvys6cwMNYV7L29H4a+FTiILfMZInDHQ8jt0NuzRs/Nhm4tBBQQA32ZtRohBw5AueuXZF72v8071eVFk7NAM79jud526HR824UHeuM3cO+lrzb5Xmxs8G9X79+WLmSzk45EhwVjCY7miAiNgJrmq5BtdzVVNEmVdlPMTF41qwZYr3fIRdh40IYCTEOBMS+ahzzZIxaCoO7Mc6a0FktBMRGqhZsopIWEGDvdvZy/77i9xhSgTwUWYIpXHM+Jfvh0M3J/uQYmI4HXlKYJ/MLTiJuxUT55cIv2Pd8H0ZVHoUB5VKHS2pBdZ038epDGHkjXkRwBBnfK+fFvC4VNPYw0bnSogMJAbGnpl4IAhPx4+hxsAfu+d/DsArDMLSiFkLK42LocTYfQMm3MZxyX2QrZpgg7yTKm/tEfVN/Iv1LHvkaSmh0KBrvaIwwog9Y3ng5vs6bNp+wvK723H6LUUQvw/J3v6poUCKHhhqJ6vpCQOyrssgLPPS1Eg2n36R7RdOCTTGv/jztKLaOHHdengd9lAOViSJMjsS8f49nDRsBcXEovHcv7EpQ5G1GisdxYFNnxLoURbF306Wr09WfG+HO5XNoRoZuecL//Qg9EKQlM67MwNYnW1E/f30sarhI49F8WLcOvrPnwKZwYRQ5eACZLJR/LNa4c9GA2giIfVVt6ERFBQgIg7tYImaDgNhIzWaqDW6gQ44PwUXvi7Icge8fAssokZ49hWL+SAnx0pPI4ATeQpZfyOCeyKu48NZCrLq/Ct+U+Aa/1PjF4MatrEIXn/mj99priIv/hF9alsKgukWUrSrK6REBsaemBl9goscFaQBd3/O7hx6HesDawlrybs+WOZvmWiUmioOtE/DTS3qkNdDL+7VVwKFxCd7t7OWuBZl9bTY2PdokS8emQruT9tzHxitecMpsjQMjaiO/q3Jc8Cp0IYpmAAJiX5UFWeCRAYvOgLvgpNzslR0VF4V/WvyDSjkoobamQglYpXsGPXRi6GXKx0EOQXLEb+FC+C9dBvsqVVBw4wZNe1W9fkQgMKeQVK+n27+48PYTZnYohwoOIShblnKIyJGSJUviEfGqpyUvgl9IyWcz0T8HOxxEfkfNcmLFhYbhWYMGiA8JQb6lS5G1YQPVxylqZDgCYl/NcMjNpkNhcDebqRYDFRupWAP6QqD9nvZ4HvwcK5usRM08ZGRneUUftH83B1woceoPCV54aUp8PPG9u9JfE+/7OA+ilknw1Nv6eCtmXJ2BBvkbYGFDCgM1Yll38QWm7n8oeaus7UPeiCWFN6KhT6fYU1PPkMDE0FetbvVLijpqU6QNZtaZqZ3ObvwNHKCkdIXrAX0oOamhStLDgB0/DBC1THpRW0qOweujF1rtpvwlJOokB4+KjUPX5Zdx900wyuV1wvYhNQVtmZLYG1Ixsa/KzobAw5BWZ8brsva/tZh/cz5Ku5XGllZbtBMV6vuY+C+rk0MP0VtOfE0Pu6npHT9FR8ODvNvj/P2Rd8F8ODanO4w+ZDHRvvg/wYGyCzD8Rg6KXsqOBR1LwNnZWa42jo6OCA4mx6V0ZMgJcox6exF9y/TF2CpjNR7V+99/R8CatchSpw4KrJJPZ6NxJ6IBrSIg9lWtwikaS4aAMLiL5WA2CIiN1Gym2uAGWnNzTYTGhGJv+70o4pTove1xgsIiOwG5ygFDKCmqIplJfO/seTLyNuCa0MbZ12cx/NRwlHIthW1tKJTfiOUTJZH9efd/+PeaFxxsrYiTsRbcc2Y14hGZvupiT009xwIT01/3aY2QuWAbbW8keR1uaLEBFXNU1A4Y+0YAt/4Bao8BGstP/KadjjRsJTYamEnJvylpLH64S4/JhTRsMKH6d8e+w+V3lzGw3ED8UPkHldt8GxSB1gvPIzA8Bt9UzY/ZnYhrXohRISD2VdnpEngY1fLVqrLJE0r/r9b/0NG9o3bav70J2DsMKEjUXf0OyW3z47FjeDvyB1hmzwb3U6eQydpaO32r2koifZl/tfGocq4S5UmxwM3JjZHT1QkRERFyWwsLC4O9fdoRTqe9TmPk6ZFwsXXBiS4nNM69Eu3lhedNieKGHp6LHqdcLvmIFk6IQSMg9lWDnh6jVk4Y3I16+oTyqiAgNlJV0BJltYUA89DW/DfBq/1q96uwt0784HtAIffb+wIFagH9Dyvu7g9K+hbqAwwmfsXcCQaDxwGP0WV/F7jaueJst7OK2zDwEtGx8ei15iquvgig0P/M2EOJkNwcbA1ca/NVT+ypqedeYGK+vwemPmEKFHcXd+xss1M7XocM5zIygLz/D+i2ESjVxrABXl4H8LkHdCWqgdJttaLr8VfHMebMGCkJ7fEuxyW6HlXl3FM/9Pn7GuhdF7M6lsO31RIp2lRtSJTXCwJiX5WFXeChl2VoEJ1eeXcFg44NgoO1A052OfnlTqGpdgfJq/v6aqDmcKDZb3Jbez1kKELPnIHboIHIMVZzL3C1Vb5EPOvHJuETnYcNXw/EC/8wLO5eCSPb18aLFy/kNvv06VO4u7un2WVsfCya7WwG33BfzKkzBy2LtFRbvaSKXv0HIOzSJbh99x1yjBmtcXuiAd0iIPZV3eJrzq0Lg7s5z76ZjV1spGY24QYyXM8gT7Tb2w5ZbbLi0reXvmh1m4wne78HijUhIsIdirVdWBkIeE6eJ5T4p2CCAZ95HOturSv975s9b2rskaFYCd2XCAiLRvslF+EVEI6qhVywcWB12FqlDm3VvSaiB0UIiD01NUICE0WrxjT/niN0Ou7riGdBz/Bz9Z/xbclvtTPQ6PCEhKmfiF93NOX9cKJIJ0MWPtP4bKs7Hmg4SSuaxpDHfJPtTfAh8gP+rP8nmhSkM1MNWXL6GX4/+kTyhtxG1DIV88unH1CjaVFFxwiIfVUWYIGHjhecATc/9sxYHHt1DN1KdMOkGtrZY6XhrqwPeFMEbWeiMCub2ms+5r2vxEsOorgscugQbIsQHaa+xJMcjP6hB13nAphVfBtWnPNEmwp58N/KMThDDwLy5PTp06hfn8aYjiy9sxTL7i5DlZxViPGTcNBQPkcEZOOIgJPIZGOjYYuiui4REPuqLtE177aFwd2859+sRi82UrOaboMZ7KW3lzD4xGAUcy6G3e2SJZK7shw48hNQpgPQZZ1ifVeQYZ05cnuQcd49weDARp6qm6pKFAbq8Nsq7lQ/JTzeh6Dj0ksIiYpFp8r58EeX8trzFtXPkEyyV7Gnpp5WgYlJLnWFg7rjewe9DveCnaUdTnY9CUcbR4V1lCrgdYWSWlBYukMuYCxx7GqBF12pftUtdJW4ag+Tsd2ddO6hPZqzv279hdX3V6NWnlpY0WSFWtrFU1LuIRtv4tjD98jtZIf9lEQ1m4igUgvLjK4k9lVZxAUeGb0CDaM//wh/6fEx9lMsdrTZgRKuFPmqDYmNIjowesxNhw7Mf9Uq+M37E5krV0ahzUQ/o09Jljj1bo+7aLfmgURFWdFzE7b8uxlxcfRAnUI2bNiAnj17pqu1T5iP5OXOtD0yFKBqjvVTTAxx3jdEnJ+eOe/V1N/cqol91dxmPOPGKwzuGYe16EnPCIiNVM8TYKbd7/bYjSmXpqB23tpY1njZFxTO/QGcmg5Uog/AdksUo/M3hTe+uphgnGcjfaK02tUKXiFe+LvZ36iSq4ridoykxJknvui/7jp9+AI/Ni+BYfWLGYnm5qOm2FNTz7XAxHzWf/KRJiVLbV+sPaZ/Tfu6tuQynQ1HfwZK0P7/7b/aalV37SQ9EGTNnfBAoCV5E/IGLXa1kFrT5HE5JDIG7RZfhCdREFQv7CpFUFmTx7sQw0ZA7Kuy8yPwMOz1qivt1txfgwW3FqB89vLY1FKLRu+3N4FVDQF7N2A8RdKmeNhl5x7PVq0R7emJ3DOmw7lzZ10NUfl2F1D+qyAvxPfah5pbY/D+YxRqBx3HtrVLEUOG7uRiZWWF6dOnY8KECQrbH3FyBM68OYNepXvhx6o/KiyvqIDvX3/hw7LlsK9ZAwX/1txrXlF/4u/VR0Dsq+pjJ2qmj4AwuIsVYjYIiI3UbKbaoAa6/O5yLLmzREpsxAmOPsuJqcCF+UD1oUCL2Yp13tQV8DgKtF0MVO71uXy/I/1w4/0NrXEOKlYk40r8c/klpux9IHW4tEdltCxHRhwhBoOA2FNTT4XAxGCWZ4YpEhYThgbbGiAiNkK7yVJ5BLsGA/e2APXJ6F6fIqIMXaIosTdT4IBeSsc9I8/87FrTOCl56tAKQzGsIiX3U1Oe+YZIRvew6Dj0rVUIU9uWUbMlUS2jEBD7qizSAo+MWnmG0w8bvdvuaYuXH19iWq1p6OD+xfFGYy1vrAUOEMd40UZAr12pmot88gQv2rWXKFHcL12EpYODxl1q3MCWHpTI6gDQdAYm+zbAhiuvUCLgMo6vnilF/yYXa0ruOnjwYCxaRNzvCuTs67MYfmq4lBuLk6eqkzMkeRcxb9/iWWOKSiadih45DJtChRSpIP5eTwiIfVVPwJtBt8LgbgaTLIaYgIDYSMVK0AcCM67MwNYnW/Fd+e8wotKILyocorD7axR+ryzX7fZ+wAP6EG4+B6gx5HM748+Ox5GXRzC+ynj0LtNbH0PUaZ9T9z3AuksvicfdAlsHC95dnYKtYuNiT00NmMBExUVkAsX3PNuDyRcno5BjIexrv0+79FfLa1MS0vvAN5uBkq2MA61FXwEfyNjecyflKGmsNZ0Peh7EhPMTkNchr+TlbpFJdc/02A8fEHH7Nh6cu4GL157AiR4IyhbMhoIFc8I6X17YV6mCzGXLIhMZaIQYDgJiX5WdC4GH4azNjNLknt899DjUA5mtMuN019PIYp1Fe10fHEcJU1cBX/8ANJmWql2/RYvhv2QJHIgeJf9SJSJytadZ2i2d/R04PQMo1xUXK8xCj9VXYfn6Jjw3/5qqTiby2G/bti327NmjUDNOntpoeyMERAZgUcNFqJ+/vsI6igp4DfoOYefPI9uwocg+cqSi4uLv9YSA2Ff1BLwZdCsM7mYwyWKICQiIjVSsBH0gMPr0aJzwOoFfqv+Cb0p+80WF3eTZfpeMKI2nArWVyF6/j4z1t/5JSETHRvpEmXNtDjY+2oh+ZfthzFdj9DFEnfYZR5wyg/65gVOPfYlv1wa7h32N/K72Ou1TNK4cAmJPTY2TwES5tWNKpQYcHYBrPtcwstJIDCo/SHtDi4slXl2K6omLBkbeAVz1mKROlVHt6A/8R8b2RmT4qKO9M4kjCDiSgCMK1jVfh69ykmFfCYnx9kbwwYP4eOAgoshTU5FYkPemyzfd4Nq3L6wo2Z0Q/SMg9lXZORB46H9NZrQGSc47rYu0xqw6s7Tb/Vqi6/K6BHQgJ6AK3VK17dmmLaI8PJB79iw4t2+v3b7Vbe0pRfxupsjf7CURM+Qyqv52Au89H8Fn/Si5LVaoUAF37tA5qoTMvT4XGx5ukBJ0c6JuTSWYzh7vcePoUTcfih4/pt1HeU2VE/U/IyD2VbEYdIWAMLjrClnRrsEhIDZSg5sSs1Co16FeuON3B/Prz0fjgsm8/bYSLcyjfUBL4nKvpoSR5shE4MpS8kChj8kmX6hpkjgd2xZti99q/2aSmIZS8tSuyy/j4buPKJbDATuH1oJTZuGBqO/JFntq6hkQmOh7VWZs/96h3lKStUz0z9FOR5HbQYu0V77Egb60OsCejBPfABaqe3RnLBqJvV1YAJwgY3tpMsx0Xa9VFaZcnILdz3anpmiT00vE/f/wYfVqhBw7JoXzJ4mtezHYlSsPq1y5sPVZKJ69C0auTNHo6haFuNu3EBcUJBXNZGuLnBN+gsu332p1DKIx1REQ+6osZgIP1deQMdeIpkdXfmz8GP0RK5usRM08NbU3HN4b5xQEIoOBIZQnKldZmbajXryAZwvKIUI86MUvXoClk5P2+takpY/vgD9L0kZN5+LEtxi/1wNbzt3Hm8VfKDeTN5+NHk/9/PyU6vFJwBN03t9ZopPhaAInW83GHB8RAY/adRAfFoaCmzbC/ivlHouVUlYU0hoCYl/VGpSioRQICIO7WBJmg4DYSM1mqg1qoC12tsCb0DepuX03EP/i81NA++VARSUu9KfImH5uLlCVjPOtyEifKHuf7cWki5NQK08trGiywqDGrk1lfIIj0X7JRfh8jEStom5Y168abIhmRoj+EBB7amrsBSb6W4/66HnF3RVYfGcxqueqjtXNVmtXBfYSZ2/xfFWBgSe027YuW+Nzjc831yLkmX9bqz3d8LmBfkf7SXQKbAhheoWUwgYi39//QOgp0iNR7KtVg2Ob1sjauDGsXFw+//cbd+5hwKKDCKYkhJULOGPzwGqIIaOSPyW5i7x3TyqXZ+4cOBEdgRD9ISD2VVnsBR76W4v66PnYy2MYe3YsctrnlB52LS0stadGMD3mzqc8FhZWwM9kxLaykWnbf8VK+M2fjyy1a6PAaqKdMRThh4I/3IEwMqIPOIFTYQXQ7+9r8PqDzp74uFRaMq1MVFQUmM9dGem8rzOeBD5JHZ2sTGU5Zbx//gXBu3bBuUsX5J6emrZHzWZFNS0iIPZVLYIpmpJBQBjcxYIwGwTERmo2U20wA+XEPdU3V5eS6THnbP6s+b/otqYp8Poq0G0jUKqNYp2TvAYrkHG+AxnpE+Xi24sYcmIIirsUx862ZKAxYXngHSx5unOyu46V8mJe1woiNFOP8y321NTgC0z0uCAzuGve39vsaYNXH19hxtcz0K5YO+1qcHI6cJ4eVyv3oWTZC7Xbti5bC/sA/E7GdpYJrwE7R631Fv8pHi13tcTb0LepEoWzFyFzDQf8Q9RrsUTHY2kJp9at4Np/AOxKFJerQ/Xq1XHjxg0UHbwU0Y750OWrfJjbubxU1nf2bASsp7bIs5N5ix3q1tXaOERDqiEg9lVZvAQeqq0fYy894uQInHlzBgPKDsCor+RTpqg9xqcUAbS5C1GzlAK+v5KqmRdduiLy/n3k+t//4NKNKFwMSTZ2Ap7RY3SreYiq1A9Vpp/Aoz97IC6UziA54uXlhfz5k93D0hnL+gfr8ceNP1A+W3lsarVJ41GHXbkKL6Ips8iaFe4XzsOCIqiEGBYCYl81rPkwJW2Ewd2UZlOMJV0ExEYqFkhGI8BcszU215C6vdr9Kuytk3GPL61FN/oHQK/dQNGGilW7Tt6TB8cmGOfZSJ8oSaGPrnauONvtrOJ2jLzEmSe+GLD+BpjbfWQjd4xpIt+QYuTDNAr1xZ6aepoEJkaxdLWi5H2/++h+qLtuktixhv/S4+qTQ0ALimyqPlgrOmdYI3+WpsQ5b4F+R4CCWqQ/oAEsvr0YK+6tQO28tbGs8TJpSOE3b+IdeRBGv3ol/f8s9eoi548/wrZo0TSHfPfuXVSsWFF6tC3/VQ0EN/oZn4gaaHLr0hhQuzA+xcfD+6cJ+Lh/Pyzs7VFk/z5Y582bYRCKjr4gIPZV2dUg8DCfX0dgZCAabmuI2E+x2NtuL4o4Jz5maguC88RRfpJoKst2BjqvkWmVk0x7fE2Ju0mKnTsL6xw5tNWrdto5QXpfIP0TH6VHb72DpaO/QfQ7+bk6Ll26hJo1lTuP/CP80Xh7Y8R9isOBDgdQ0JFodzQQPk+eNWyEWB8f5KMH3KyUgFaIYSEg9lXDmg9T0kYY3E1pNsVY0kVAbKRigWQ0Auz52Hp3ayn8/Ur3FJ4jC8iLLoiMAxQKifxEGaBI7m4BdpPRpUgDoPeez6X5o5C5HZlD+FavW7DisFATly3XvDBh131plHM6lUO3qgVMfMSGOTyxp6aeF4GJYa5VXWiVlFitRaEWmFuPjOLalgXl6IzwAvocAArX0Xbrum0vyfOwzV/AV3212pdnsCfa7WkHq0xWONXpBGLX/gv/pZTfhCIOrMgglOt/U5G1AZ2TCmTw4MFYu3YtOcOTNzzJ4P8twpHwwrDIBKztWxX1S+TAp5gYvOrTFxG3biFL3TrIv2KFiKpSBKwO/l7sq7KgCjx0sMgMtMntT7dj2uVpKOVaCtvabNO+ljsHAve3U5LrKZTkmpx6kkkwPTZ6j6eHy5IlUWQPOQcZmtwjvXeR/gXIiN7/CI498EGHzl0R/oS46CkaKqVs27YNXYjSRVkZfHwwLnlfwvCKwzG4guaP3u9nzZKiphzbtkHeuTr4ZlB2YKKcXATEvioWhq4QEAZ3XSEr2jU4BMRGanBTYvIKJfHNsmcEe0jIyFzyUgmnsMdhZIjPQaGciuQR1d/ag/h8qxGf7/HPpeOIq7DyxsrgUPtTXU4hu312RS2ZxN/PO/YEi049Iy7LTFjduwoalDQwzxuTQDn9QYg9NTU+AhMzWPg0RN5vm+xoAt9wXyxosACNCjTS7sCjQoBZ+RLa/PEFYO+q3fZ13dqRnynJ9xKgxjCg+Syt99ZpXyf4vHmCBWcLwuGup9S+U/v2yPnzRFg6Kqaw4d9pzpw5ERkZKdVlL3f+/93m7sKeBwHIamuF3d/XoiTdWRHl6YkX7dpLxvc8v/8OJ+KCF5KxCIh9VRZvgUfGrj999jbw6EBc9bmKUZVHYUC5AdpXZSkZq30fAt9uBUo0l2n/LUUJfdy3H26DBiLHWFljvPYVUaPFd5RnYwU9Rts5Az+9RGRsPPLV7YYP18gpKQWPuwUlHZ83bx5GjVKekme3x25MuTQFxZyLYXc7zR8cwm/dxqvu3WGRJQvcL10UtDJqTLkuq4h9VZfomnfbwuBu3vOv1uiXLFmC3+nS4UNhURUqVMCiRYtQjRJSpSXbt2/H5MmT8fLlS7i7u2POnDlo2ZIynifKLkoisnz5ctykkOCAgADcvn1bCvNNLvXr18fZs7J0GeydxPWUFbGRKouUKKctBI68PILxZ8ejco7KWN9ivWyzM3ISzyxd9keRp7azEh7az09TIrr2ZJynUP1hl2XaYg939nTf1nobSrkpYbzX1gD12A7zJ4/bfg87b71BZmtLbPmuBirkp49uIRmGgC73VHHOZNg0io7UQODW+1voc6QPHKwdcKbbGdhaapmP9fU1YE0TIGtuYOxjNTTUc5WbdN7tH5lAl8a0aVqWTftnIv/0Dcj+kYzlmTMjN3m1q5LYlPeXESNGkFM8Jd5LFDbIjB03Hi8Kt8X1l4Eo6GaPPcO+hksWG0qiugx+fy2EJSVcLXLooEziVS0PTTQnBwFx1siCoks8xAI0HAT4u77R9kbSA++RTkeQ10HLlFax0cBMOmPiKcpn1H90F/nCb84UKB516iKOaGUKrF+PLNXTvufrDbGYCOA30p/IwDDOA3DIgbq9x+L8xvlSxFNy4WSpI0eOxB9/UF4UJSU4Khj1t9VHLOGzu+1uFHMppmRN+cUErYxG8Om8sthXdQ6x2XYgDO5mO3huFEAAACAASURBVPXqDXzr1q3o3bu3ZOjmZFMLFiwAG9SfPHmCHHK43ZgvrS4lmppFYVStW7fG5s2bJYP7LQrPLVu2rKTEhg0b8OLFC+TJkweDBg1K0+BevHhxTJv2JbO3PXFqOirhyZQ0UrGRqjfnopb6CGx6tAmzr81G04JNMa/+vC8NxdHH7XS3hP+vrPfimxvAavKiZOM8G+mTSZf9XfA44DGWNlqKOvmMjHpAfXgRExeP/uuu47yHP9zIKLJzaC0UypZFgxZFVVUQ0NWeKs4ZVWZBlNUHAjOvzsS/j/9FmyJtMLPOTO2rcGMtcGA0Gaxpz++1S/vt67pFL0oIvpYSg1MiUoyhXCValJAzZ/BmzBiKEIvAO3L8L7NqI3KW+UrpHtjIXpIoEjw8PGQM7tyAFSVIvXDtNsYe88WbwAhUL+yKDQOqw5oMLi86dUYU1RF0AEpDrbWC4qyRhVJXeGhtwkRDWkFg86PNmHVtltYSd6ZSyoeM7Mu/BmydKME1UVxSpE+SRDx4gJe053H+iuJXLiOTjY1WxqT1Rv6qAAS+JOq1/US9VheT/lyF38Z+l6obflBlOpktW4ieUwUZfnI4zr45i8HlB2N4peEq1JRf9DOtTBuilfld0MpoDKgWGxD7qhbBFE3JICAM7mJBqIQAG9mrVq2KxYsXS/Xi6QWcM36zp9CECRNStdWtWzeEhYXhwIEvdBo1atSQPNhTeqezB3zhwoXTNLhzHTbwqytiI1UXOVFPXQT+uvUXVt9fjR6lemBCtWS/j4ggIh9PTMAzyY9u+Up8yPo+ApZSAtbMZGH4iSgGksnQE0Nx4e0FTKs1DR3cO6irrlHWC42KRbcVl/HA+6PkkbhjSC1kz6plb1OjREb3SutqTxXnjO7nTvSgPgJM49V4R2MpqmhJoyWom6+u+o2lVfPgOOD6KqAWeYk3na799nXdYkQgnXGFEnqZ8JpC/hXTvCijUtCu3XhHEZOIi4NnMQdMbx2B0fUno1vJbspUl8qcO3cO9erVk1ve0tISDYj/fdE/O9F5+WXw+dK1Sj7KFVIekffv42W3byTPyfyrVsKhjvk8bisNro4KirNGFlhd4aGj6RPNqolAn8N9cMv3FsZXGY/eZXqr2Uo61e4RJ/yuQZ850JOX9F++An5053Zo1Aj5lyTc+Q1SNtPe/5SSc7ckz/Vqg3D63Hk0pKTZ8oTtD5cvy0YIKxrTAc8DmHh+Igo5FsK+9vs0zuERTlH8r75NoJUpfvmS4T5kKALGBP9e7KsmOKkGMiRhcDeQiTAGNaKjo8Fe5Tt27EB74spMkj59+iAoKAh79+5NNYwCBQpgDHkiJedM+/XXX7Fnzx7cvXtXprwig/sDem1nz6RcuXKhDb0MM00N66OsiI1UWaREOW0hMPniZOx5tgc/VP4BA8tRYp8kCX4DzC8DWJKhfTIZ3JWRIDJaLKCoEDl10uxHmXZNoIxvSCQ6LbuE1wERKJvXkehlasKBOHiF6BYBXeyp4pzR7ZyJ1jVH4Nq7axhwbAAcbRxxpusZWFtaa95oyhb+Jtq9V5T4rcMKoAIZeY1R/igOhL6nnCOnKPeI8h7oaQ31w5q18CU6QxanDh1wrFsRzLv7F6rkrIK/m/+tNELsCMJUhknJUuVV3L17N5xK1cIAiqCKJ2aCiS1KYnC9okjyTrTKkxtFKaEgG02E6B4BcdbIYqwLPHQ/i6IHVRDwCfOR8oSwHO98HLmy5FKlunJlj1Oi1IuU2LoKccO3/lOmzsuePRFx4yZyTf0VLt8Y8BmUNIaq9HDQ6g94eXmhYMFEh6YUKOTNmxdv3tD9SwUJiwlDva31EBUXhe1ttqOka0kVaqcuKlH10INvnJ8/8q9ZDYevKcJAiEEgIPZVg5gGk1RCGNxNclp1Myhvb2/wYcU0MTVrUpKVRPmRkqowv/rVqxRCnEJsKARtPXG/ffvtt5//ZunSpfjf//6H9+/pIpZM0jO4r1y5UjpAmXbm3r17+OmnnyTeeL40pSVRUVHgf5OEN1L2xg8ODlaJikY3aIpWzQGBND3P/Z4AS4gPMbOLlOhHKQkPAOYWTig62Z8M71+MPAtuLsCa/9ak9qRXqmHTKPTCPwydyej+ISwatYtlw5q+VWBrZWkagzPQUeji41ScMwY62UKtzwj8duU3bHmyBR2KdcC0r7/Q3GkVojm010fQnj/4HJCbQuaNUda3AV6Q/u2XARW7azQCv8VL4J8YWek6oD9yjBuHd2Hv0GxnM2Sif051PYVsmbMp7INzD+XLl48c5OPSLMsJVPlb9+nTp9h6ywdT9z+UmBaW9aiMpoUd4dmmLWLoe9i1T2/knDhRYZ+igOYImPtZI+4zmq8hY2th48ONmHN9jvwcUNoazKaugMfRz97hSc3GhYTgaQ2659M+WfTEcdjQnmmwcmczsGcoUIgijvoeQAwlt7a1tU1FF8b6M2UY/5aYXkYVGX16NE54ncCgcoMwsjJFnWkoHKUVtH0HXHr0QK7JkzRsTVTXFgK6OGe0pZtox7gREAZ3456/DNVen4aQlAM9deoUGlGY27Nnz1C0aFG5OEydOlUy7KeUtAzu7D3PHk/pXcQyFHDRmdEjMPb0WHgEeWBSjUmoljtZwiGmh9nWC8hCiVP7HVRunDH0eLQi0RNi0BniXHT4XG+3x278/d/fErXBuKpERWCkwuH8/EHMBg915N6bIHyz8grCo+PQunxuLPymEn1Yq9eWOv2bWx1dfJya+jnDa0ScNcb7S+G563e0HwLIGD655mRUzVVV+4NhyrE1jRPa/e48YJNZ+31kRItniZ/2PlEWVCIqhK/VN1IEbNyIwE1kVCFx7dsHLuShniRjTo/Bs6BnErdu00LEGa9AmMrwr7/+khw+IiIo4V4awmcQR2NOmTIFv+57gH8uv4KdtQW2UvRU0Zf38XoQcQTTeVWYnD7sSpAnvxCdImDuZ42q9xlxzuh0OWZI4z9f+Bn/+f2HAeUGoF2xdrrpcwNRUAZT9Cw/iub7cpaFXriA97/NhDUZ2gsQfZZBy3vKEbK9DzkwUV6sAfR4QMJOgYGBRGsmRy5evAg3t8QcWkoO7MzrM/jzxp/InzU/ljReomQtPiLk32lCTp3Gm2HDwJFSxU6eVPvOo7QioqBSCOjinFGqY1HI5BEQBneTn2LtDVCfof4pR8G88A4ODjhy5AiaNWsmd5CqeITw2N69e4fw8HDtASZaMnsE3oe/B/P9suedDVPBJEksGc851N6CvNQdcyuPU5BXQlnHvFT3i/d2eEw4gqKCYGtpCzf+6DRiYZqo3Llzg6Nj1JHzHn5SItWYuE/oXbMg/te2jPiYVQdIJero4uPUlM8ZhlScNUosLAMuEhMXA78IP2lPyWWfSzd7y+fzgWixHPMYMBoKVIsKIS99MnpY04NBluxqjYM9LePpXxYLR0dY0ndfcgmJDgH/a2dlB1c7ym+SjvBjydu3byXHCna8+O233/Dff5Q0MA3hM+jx48fIX6AgBv5zA2ee+CGbgy32fF8LmPITQo6fgH2VKiiw4R/drAO1EDPNSuZ+1qhynxHnjPH/BuI/xYMpZVhy2OeAlYUOKBJpPwTTW4L+THGniCOa2Hi6DzNllqUTJVQ1ZCGsEsZBwkm6yXud7/P8rSVP1Llf8Hy8D3tPSH1SeT7k3Wni6bH3ac1a+BQZicJ799CjbQlDRthsdNPFOWM24ImBpouAMLiLBaISApzMjqlcFi1aJNXjpKnM0z58+PA0k6ayEXs/cV0mSa1atVC+fHmVkqamVJJfqGvXri3xwHNbykhaGymPwcPDQ3qJzp49u2ToU9fDVhk9RBnzQeB54HPE0z8FHQvKGtyjQukDkYznlnaAWxHlAfF9zL86cvMrJpNoNSw6DN5h3pLBvYBjAeXbM6CSbAzhD2Q/Pz8pysTd3V3lsM+k4ey7640fttzm3HYY1did/hUeiLqYal19nJriOZN0XoqzRhcrMePa9A/3R2BUIBxsHJA7iwqPpaqoyEbqkHdkqKYcNS6FVKlpWGXpXELQq4SH5WzuKusWS0afWF9fqZ5Vtmywck1tUI+ixwmvEC+JVqawU2FYJnuITtkh71fM78vCZ8yLFy/Qv3//ND3dOdqqZcuWUn4iTp7KlGWPfULgnsMBW9oVgl+n9pLBJA/xyju1aa3y+EQF5REQZ40sVunhIe40yq8rQy0ZHBUM33Bf3X7Tc9Qs3VFogwayk8E3MbJU+hZ/+RKfiJrFmqi1LI0hT4XfU3o3iAWcibvdJgtevXqFkMSH2pRzzDYLR3q8VVXehrxFeGy45EDlYkd0oApE0Z3m9dBhCD19Gtl/GIlsQ4kSR4jeEdDVOaP3gQkF9I6AMLjrfQqMS4GtW7eCk6SuWLFCMrwvoAzm27Ztk7yAcubMid69e0vcl7NmzZIGxnzv9Sg5yOzZs9GqVSts2bIFM2fOxK1bt1C2LCWAJAkICJAuQUwlkFSmBL32cnJU/vf58+fYvHmzdPHhMDDmcB89erTEw8nc8cpKWhtpJF2Y+OLFHPGqJGFVtl9RzjwRYI+IRx+IOoaEk+zIGAKYMiDwBRlUKOFadhWMwT73yd5OH5XZKWkPew0mSkRMBDyDPWFNho3iriq0Z4BTww90/LFcuHBh2NnRg4Sasv7SS4kKgGVqm9Lo+3Ui/72a7YlqqRHQ1cepKZ4zjJ44a4z/V/Qs8JmUPC1v1rxwtnXWzYA+eidEQNkTJ7lzft30kRGtUjQA3id6kOciHnoVeHPjyDgenWgct8qWHda5iH5NjrBRgyllouOikS9rPjjZpu2NyZzsvGclCT/uDhky5LMRPi1IDh8+jObNm+NdcATaL7mI9x+jULOIGxbE3EIAOZ9YkaNGkcOHUnnfZwTE5tKHOGtkZzo9PMQ5Y/y/Cq+PXlLkTnb77JJHtU4kIpjuIZ70mkl3iRxfEoHG0504iuha2QBvV6oUMqmwb+tET2Ua/UD6ckSVE52XWbJJezrv73w+pBQ2uOfIoTqmTCPHeUMy092riJPyjlJp3WkCt2+Hz+QpsCOnwcLbtiozSlFGxwjo6pzRsdqieSNAQBjcjWCSDE3FxZS46nfy6OHkUxUrVsTChQvBHoks9evXR6FChbBu3brPam+nQ2XSpEngpKjstTp37lzJeJ4kXLZfv36phsn8mcxb+Pr1a/SkbOkc+stUMpz4tEOHDlKbqrxSKzK4a2rgM7R5EvroFwGmHnga+FTyvCvlRh+tyXnJOQEqe/6Rl6RKnn/MVUiGBWQjozp5cSQJGxs8Aj2kPkq5puhLvzCo3HvSZVEbv8cFJ55iwQkPSYf53SqgQyUDTvykMlL6r6DLj1NTO2d4trS5tvU/++anAXtTs3GX9/QSriXS9abWCJ0AMoJEkjGEw/wdVDcMaNS3NiuzsYMfiT9RgtJs5EFpQx77SkgcfeexhyWHKFm6uMA6T550ow6ZeuFDxAfJ2M5Gd3nCv72U9DH+/v6SwZ0feNMSTq7HzhiPHj2SEvE98A5G1+WXEUZ5QrqUzY7B/0xCjNdruNI3bM6fflRidKKIOgiIs0YWNWUM7tr4hlJnrkQdzRBgZ53HAY8lY3FR56ISXZZOhB91+XHXjh6OXb84pMTSvhhD93sLou+ypfu8UQhTyoT5JVCXOeWTKGXYiS+lwV2igiNHPnYMVFWS7nRcr7hLcVhbUuSWEpLWd18M5RF5Vq++9LBR/PIlWDrr6AFfCR1FkQQEdHnOCIzNGwFhcDfv+Ter0QuDu1lNt94HGxFLXudBnhL3IhtnZCTMPyFRkS2FNbrJT/ordwC+DwHm93UjShnbrJ+LME88f6CzpPKm1zsSqimgTaMkf2z/b/9DrCNvd0tKnrq851doUlq+p6RqWorS4uNU/hoQhhDT/W34R/hLPK5ZKDKpkFMh3Q2Uk2rHRpIRhM4GO9VD33WnmBot+1OoP1PLcKi/ffoc69w6e1dGe77AJzrTLLM6wrpAfoUUf5zD5EXwC1hkspDOWv4zpbDjBidKTS7KGNy5PBtpOGrzp59+kqqfeeKLAetvUH6WT5iWMwhVV8wgL1ErFNmzG7bF6GwWonUEhCFEFlJxzmh9iRlMgx+jPuJ1yGvJoOvu7K5w/1Nbcc4JFf6BHnVzyeSSiqLHzvjQUIoqyiVReRmFfL5T0b2I7kcfPnyQItdTCu/lrkRNxo9R6gjf6fhul9sht8KcIUntp3ened66NaKfPUdeYgtwbC4/H506eoo66iEgzhn1cBO1FCMgDO6KMRIlTAQBczS4nzlzBg0aNJCytTsbyet53759EUTcrXv27DHqlRcaHYpXH1/B1soWxZxTXMJDyRPjI3lkpPAsUThgPzKqE31MSkMMG5YfBTySvDncXdxl+eIVNmpYBbRpcOeRxZNRZNyOu9h16y1srCywrl9V1CpqJJcIw5qaVNqIj9PUE2SOhhBzOWfYqMvGXeZud82s2His1s+XvcLf3aWq9GeO0mTItVWrGYOp9NmoQw+dChLAxhNncDRRCH6ipKYWlDzbhrwrlaEz4HPvSeATKUE550thfv3kwpzWnO+HeduTi7IGd67D9Gaenp5SQm+Wrde98NNO8t4n2fJqB5xuX4E9RXoWWPe37gxkBjOpGa+IOGtkMTfHc4YRMIezhrnCg6KCpDNGZ3lCGEx/iv6ke0ryx9BPtFdGUjQPRxfx46GFBrSOGbpLcF6sDzQezheSq6zkqcwUYvIka9asYNpadcQv3E/i1uczhs8aZSS9O40PUewG/rMBzl26IPf0aco0J8roEAFxzugQXDNvWhjczXwBmNPwTdngfvnyZSmJLPOMHjx48PO0GvLHKVMMsZfB7du3JWqiJAkODpYMx8byQJDWb4iTHr0JeSPfGzKEPO1CKJSTjTYuyn20Sf1wYqAY8hZ0Ie+MzLLhh08CniCW+N2ZW5A5Bo1VtG1wZxxi4+IxbNMtHHv4HvY2ltg4sDoqF1Cc9MhYMcwovcXHaWqkTdkQYs7nDO+tvMeyqBJOrvJvkSOYOJKJaGuQm3jPk1ORqdyYAVRIg7YgpWZs6Ikmj8T4iAhYEHWLTZEiyESJ7JWVt6FkpIoMgltmN+TKQh6byYQN6/y9kVKUNbhzbh+mIWAu9+LFv+RI+fPYEyw89Qx5iNt39ek/kImSfuddMJ88FZsrq7YopyQC4qyRBcqUzxkeqbmeNckfDws5FkKWZNSRSv5UlC+WlBMqGUVlHCUajSaKrUzW1rClvU6GClP5ljO+ZBzltnqf8AAKyhcSSXtxSgqxJKWYGqxcuXJq6RhJkWfPg55LuHA0sbxoqpQNp3enCaU8dK8HD5Fo04qePGE8eKuFnuFXEueM4c+RsWooDO7GOnNCb5URMGWD+8CBA+FAfHtr1qzBkydPkIcObxZ9GNyj6UPHxsZG4fykZXBXWNFICjCnLHPLOhJtTP6sKRLffXxHSfF8VE+K50+JgSiRkrzwfP4I5I/BAo4FkNXmC92MkcD1WU1dGNy58ciYOAwkGoALz/zhaGeFf7+rgTJ50k6wZ2y46UNf8XGaGnVTNoSY8zmT9IAqN2JJmz++SErqGfCcPNuJtzdHKW22rJ+2PicIJ/727PK9CtnIFPP2LeIoso2N7DZFi8JCiW+I5ANKmh8bSxspyiu5vKW2mdOXjSRWRP1iSX3w/2aaGXkc7m5ubjh37hz4TxfikE/re4b1Hr/jHnbcfIO+T4+h28NjkuGEE6jyo4EQ7SEgzhpZLE35nOGRmutZE0ERrJ7BnunSY2nlV0XRQPC5l9BULjI+E/UlSwztk7FEx8K5M2zU4DnXim7qNJI8X0j2koizsJGcueQJ7/2VK1dWy7jNez7ny4qJj1H6rpXenSY+PBxPqtcg4GNQ9MhhKapLiP4QEOeM/rA39Z6Fwd3UZ1iM7zMCpmpwDyWuPQ5zvnHjBjjRbHnKeP7zzz9L404yuB84cAATJ06UQuzYm3z16tUoW7asVIYThg0fPhwXLlwAG8s56S0nxU1KbHuWXuDHjx8vhWQz912fPn0wY8YM6eLKwolyuS3+/xs3bpQ8B06fPi19zCxduhT79u2T9GAdOWFu586dpXopPSfq1asnlUtJKRMVFSX1v2XLFilMsEqVKpg/fz6qVq0qM8YTJ05IHKsPHz6Uxvj333+rHTaojZ8Nhx1y+KGLnQvyOCQ8gHyW4LeU4MeXEvxQQjwnFZL3fKBkeuQ5Dycy4GeRpUV5GfwSYeT9ntchL5yZqsZIRVcGd4YjPDoWvdZcw81XgXDLYoOtg2uiWA5Z+gEjhU0vaouP09Swm6ohxNzPme2HtqNrq67Ytn8b5kydo7tzhhO/cQI4SgAKtyJ6+V1rtVOmQGMqtEzkrZ67vNymk5L0sVc/GxwsHb4kBFdWl+R5TFLSqrGRhP/lBKhJEk6GDjaqyzO4s0d7GCVuVUZiKHqKH3KvPHyDNSfnwi0iGNlHj0a2wd8pU12UURIBcdbIAmWq5wyP0pzPGr43HDx+EP3b94dO7zScV4Pza7ChnQ3uiRL51AOfoqNgkz8/LJ2MzCEliXLThc7NzE64desWUUrGy91h+I6YdIdVcgv6XMw71BuBkYHy73ZyGlN0p3nVqzfCr19HzimT4dq9u6rqiPJaRECcM1oEUzQlg4AwuIsFYTYIqGJw58tZBHnE6kMyWyd4Xykra9euxbJly3CdDmw2rI8aNQoeHh5SG0kG91KlSuGvv/6SwqLZGM+hdmx8t6awwdactIUM7fPmzUOWLFkkQ4KjoyPq1q0L9gzjEGo2go8YMQKPHz/GoEGD8P3332Pq1KmSimxwv3nzJoYOHYoBAwZI/4358bh/9hCbPXu21NaGDRukxGP3798H68P6VqtWTfqoLFOmjORFxgb9lAb3H374ATt27JAeCQoWLCgZ7dmI/+zZM6l80hirE3/qnDlzkD17dukSzXytFy9eVBZGrZdL+ijLbp8dOezJsJ5cgihhajglTk2RrEihEgEvyVU7kLhwyUjvINsm09ewl1/OLDmRLbPxcpQr+jhViJGCAsERMeix+gr+e/sROR1tsY2M7gXdVDfwaKqHKdQXH6epZ1EVQ4g4Z4zjnGEv5w37N6BPuz6oWq0qfp/7u+7OGTa2s9Fd1cdYQ91Q0vCkTFI3icKA/781Pcpb0TeDupLEsc+UMkwtk57wOcPOBIMHD5acDlIKfxPx95EyEhYVi29XXYHb5VP48ea/FLlmj2LkrWidI8W5r0xjooxcBMRZIwuLKucM19TXWaPqfYZ1Nec7TZBFkLQvscFdp3ea8AAgiPY9zneRLSEiKJ72vCiJ9zwT7EqVVInSyyC2rQBKkkq0Ykn3I77n8j4vT/jOmTmzetSbIRRl7PXRS+mktoruNP7Ll8NvwV/I2qQx8i1aZBBQmqsS4pwx15nX/biFwV33GIseDAQBVQzu7AlbespRvWj+cFoz4plO8B5XRr7++mt07doVbJiOpWRj7Em+fft2yRCeZIxm7/Bu3bpJzQUEBCBfvnxYt26dVI894jt16iR5x6eUX375BTt37sQjSqKT9AjAXuvsSc5c6+wxxv0wtuxNkFy4PBu++TEgSWrUqCGF8nEbaVHKJDe4s5cZGztY1+6JL/8xFHrHXvj8sMCe70ljZMN9o0aNpK4OHTqEVq1aIYL4YDnZmT7kdchrfIz6KPHJprr8B9KHLvG+IislYMsqyzebrq78gcwfynLqvQt9h4DIAMnYzkZ3YxVFH6faGFdAWDS+WXkZT9+HIq9zZmwbUlP6U4hqCIiP09R4qWIIEedMAn6Gfs4MHzUcWw5tkYwgx44fQ5PGTXR3znwg2rAoog2TE8Wk2q/TgEr7/EfWnBgy7BD/eTJO4niKXoumRKSf6HGcKQyYjkUVZ4OUI1QloR2fM+fPn5ccCOQZ3H18fJAzp/LnqH9oFLosvYCRu+egZOBr2LfrgIJzZhrQJBi3KuKskZ0/Vc4Zrqmvs0bV+wzraq53mpE/jETr/q1x7eK1zx7uOrvTfKa1pIdJ5wLS4oqlu2GMt7eUsNqWcmgYnXykvFicM8SeHI6c80tOZfw7kSfu7u5wUtODn6OpOEk3P2IVcy4GpplLTxTdacLp7vyqew9YkgOZ+8ULGp2BRjdnBqawOGcMbEJMSB1hcDehyRRDSR8BUzS4M18707mwJ3qORG8qpodhYzh7lCcZo/lCWaBAwkcVS6VKldC+fXvJyM6e4+ydzt7mjRs3lozvbIRn6dixo/RRwvQsScLUMhyOl9QmG9z542XVqlUyE8AX5/Xr16N3796f//toCrW+c+eORDmjjMH93r17qFChglSWvduTpEOHDpIhnj1hksbo6+sreR2yMHcfG/ZTjjsjfyNJFC/5suaDE9MDJJd0PNXT1TGYPOPD2DOeDAGOsjQ16VLYZOTANexL0cephs1/ru4bEolvVlyBp38YebjbY+t3NZHLST+PM9oaU0a3Iz5OUyOuiiFEX0YQ1loVQ4i5nzOzF8/+HOav83Pm/QMgLproZMjr0NZE6K6YuoApDJzpDLenROEkUpLU58/BRnc28DCVTKZklC/q7GWqJLTjc4Yj4DgqT57BnSP9OBJPFXkdEI7x0zbh1yN/Ip68RPNt3QqnCuol51OlX3MoK84a2VlW5Zzhmvo6a1Q5Z1hPcz5rsjhmwcR5E3Hnyh30bNMTOj1rPt9B6B7B9wmSaC8vxJGB2orukkYZncN3I74j2VIOK7di0r3xA/HRs2E8pbDTVrZs6kcCJ93vlIkoVnSn4ciCp1WqEpVPtOBx1/NhJs4ZPU+ACXcvDO4mPLliaMp9oMo7DPUVfskaqxKC+eOPP0p865wELElYd87CzknC2PDcoEGDVIbn5AZ3rsfJww4ePIhjx45JtDRML8MUMsoa3NkAv2DBAhnAM9rgHhgYCGfnBO5yNurzGF+8eCF5w+tDngU9t9ue+AAAIABJREFUQ1RsFAo6FoQDh20ml3S42NPV9SNxv4fK534PII/5d2HvpISpnDjVWEXRx6k2x/UuOAJdV1zG64AIFMmeBVsokWqOrMLorizG4uM0NVKqGELEOWMc58ykPyd9DvPX6TnDfLM+dxMWVU7KsWKpHKWJsr9XvZWTE9EVzUlS6czORLlfbClJaiYl6VvSGwP/np4GPkVsfKz8czdZZT5nrly5IlHYyTO4s/d77dq1VYbsgXcwLvb9HnW8buJN/hKof3gnrK2+fJ+p3KCoICEgzhrZhaDKOcM19XXWqHKfYT3N+U5j42CDKfOn4Mn1J+jUshN0etak4Dvn9RFFlKEcbcTe7fwIanTCkWEcIWZJHuc5S8ObvPX5HizP4J6Hoqn4X3XlQ8QH+IT5IIt1FhRyKpRuM8rcaV727ImIGzeR+7ff4Nypo7pqiXoaIiDOGQ0BFNXTREAY3MXiMBsEVPFwNwZQmD6GqWH4A7Vp06YyKrP3+rhx41CyZEnJ4L6VPK2YPoaFP+K4HnutJ/235JU5uSob39m7PK1Q/wkTJiAoKOgzpUxaBnf2nGf6mCSpWbOmZAjn/8YfQ3nz5pWSvX711Vefy6SklGGedtY1OaVM4cKFJUoZHmOSh7tOP07VWBBPAp5IF/8izkWQ2SoFXYk/fRQSD2Byjz+luvgcBpoQMplcmL+dedztre1R2KmwUs0ZYiFlPk61qTd7JX6z8greBkXAnRKo/ktG92wO6YeIarN/Y25LfJymnj1VDSGGPv/mfs5wmH+rfq0+h/nr9JxJnmCUE9mpkMvFoNdRiA8Q8o68Cci73aUgYunbIeYNcdWTJCRJ1Z4n/9vQtwgiHl9X6it3FqJsS0P4nLl27ZpkcOeH+ZSyd+9etG3bVi1Yr159CNv+38A2LgYnu43C91O/EzQBaiH5pZI4a2QBNLVzhkdn7mdN9++6o8+wPvC644WWTVrqzuDOHt8+9zjMCMhOUTzWdoinJNJRRO+VycIStszfboxnTyxFhvlShBhFFyF3Bfj5+8t9TOW15uzqhmJF1L8nsTMVO1UxTiVcSsCScEvvrOEzhu+taVGc+v45Hx9WroRT507IM2OGhrulqK4uAuKcURc5UU8RAsLgrggh8fcmg4CpGdz37Nkj8bJz2GFKLjrmWD916pTk/c4Gd04Qw0lTmZOUjejsAc6JVTlRKRuuW7RoISVHZWPCsGHDJPoWNtInJU3t168fmKqGwz0HDhyYKmlqWgZ3DtnjRKbsKbZp0ybMoA8JTppaunRp6eOak7OyPtwmf4jwOFImTWX9mJN+zZo1Ei1OUtLU5xSOzrQyhmhwZ4+KRwGPJM8Kdxd32FjayP6O/CjEPoZC7F3ogy9zgle+UhJC/IQhxFOYaLhIXic0OhSvPr6CLXl3FHMpplRzhlgoow3ujMGrD2HoRvQyPh8jUTJXVmwaWB1uwuiucHmIj9PUEJmaIcTcz5nbD28j1Cr0c5i/Tg3uEcH0Iu5JBhB6oM1eUuHvz2gKJEvQF5+1gEQlw5QyVkQBZ60CT7oy4+W8KZw/RdE5yOcMP/bztw0nYE8pTFfHf6euXJkyG07b1sPH3gWXJy/FxPYVjNOIpS4AWq4nzhpZQE3tnOHRmftZc+DaAelO43PPBw0bNtSdwZ0eAvGe8mqwkGGarOyI8fVDrO97WNKdzCYZ/aiWf8a6bY4fEt5xhBj9maM0gsMipXuuPLG1d0C50uqfsXy38wjyQAxhyRHFHFmclihzp/l4/DjejhgJ29KlUGTXLt3iJFpPEwFxzojFoSsEhMFdV8iKdg0OAVMzuLdp0wbxdGllb/SUwp5bnOGejeycTHX//v1gr3T++GDjOPOtJ/G0M3XM4cOH8YY8ztgA3rx5c8yfPx9ubpRMh+Ts2bNSclLmbmdv8z59+kiGcysKBWdhDve0DO5LliyRPqLPnTsnJXNl43tyr3rmj582bZpk2K9Tp45kPE9pcOePFfbi//fffxESEoIqVapI+lWtWlXq3xAN7pxU53HAY0m/kq4lU3s/+NLfxUYArkUBO0flfyuhfhRbTZ6BdmSkd5X1zoig9jyDPGFlYYUSriWUb9PASirzcaoLlT39QiVPd9+QKMnovnlQDbhmSfFQoouOjbhN8XGaevJMzRBi7udM3lJ5ERgZiMfXH6Nzy866M4LwUmK6MKYNs6OcH65GmLQurb2M+duJx/2ThTWiQ8mbks50C/sssClMvO1a9qTkqDKOLmMp7lIc1mnQ8vA5w5R7nGMmpcGdKfpmz54tRdCpK+wx+l+jZrAO9Mfa0i1RcPgQDG9IvPxC1EJAnDWysJnaOcOjM+ezZsqsKeCzhg23nrc8JUcpnT3uJu7HoP0YuYi6jCSKPLDjw8JgTfc0q8S7n1o/VH1X8n1Id6so6W4VHm8FzsUhTzJZ2aBS+XIUpU3e8GqKd6i39G3gltkNubLkSrMVZe40MXQHftaoMT22W6PEzRuwIGc4IRmPgDhnMh5zc+lRGNzNZabFONPkgFTmMBTwqY4AX6R3794tJWc1N2GvB+aSZSntVjq1UeE9fQTG0UehqonxPicFIiO9Gxnrk0k0JdrzCPSQ+uI+jVX0+Xt8nmh09yOje6ncjpKnuzC6p72SxMdpamxM0RBiyHuJrs8Z3seV8WLTCkbB9JgaRo+qWXIATnm10qRBNBIXSx6V9ymo6//sXQd4VVXWXaRX0iAQAqE3QUEFRB11sKKig2LDgqLM2BvYdSxj770idrGPvY2/FRugFEE6IdT03vNS/r1OuPHV5N1X85Kz5+NjJPeee+4+J3efs87aa4cLFhKGHgJoRw0bJniPfzTqN5dtBguoZiZkIpmH006McYYkgpkzZzpIykRKvwi233XXXV65r/yjj7DrmmtRExGNOYdfiytO2R9nHzDIqza768061tiOvI4zgf9N8GesMYpwErglgOtXqy2VTKoc0fOKB3qNULrtdaLfLim5iB4+HGFSAyxkrXiznB5USPwcgMboZJXN7dSE1T909FikxHkObBsyntHyfR+W7Dqr2J09jWLMT94fTeXlGPTuu4gdOyZkhyCUO67jTCiPXufuuwbcO/f46N750ANdjeHuQ9f4pSl/Lk790mEfNsrNPjf91PUjw93B8iSds1nSOmWxqxa97ppVaj562bLlrFn1o9NGI0wWlKFo7ixO/flemwoqhem+GEVVGnTvyM96ceroIQ2EdDRrfPtzf8YZ4xCTPXaaqeTbVwFKRE6mTmRlevYHEnr7uvXgtSdgQtO2VVK2pDUmRYlkXXii6xR8bzvKYnYsapcsgEtmovODC8YZytudfPLJDjq/zN4799xz8eyzz3rVFcrm5Jw2E3VSD+fLrEl4ZJ9T8ODJ4zBjXxlfbaY8oGONrbt0nDE1fXxysb9iTbNoqTMjlqDr0OShiImI8Ul/XTZiJ03ZJJnDDVu3qsLV0SIt6uusI/++jF3rVofWLT37YdmyZU6LpvKulKyRGJrueRyyzqZiVjGzi52Zu3uabeeeh+qff0bf/9yGlN011wLqO/0wXZxbzwG/eUAD7n5zrW64s3lAA+6BHRF/LU4D+xaePa1a9NnJWKF2OzXcHSyXBYuaWnV6qdfrrtWWCTNFCrxJYVT0tpWN4WJ9TXFr+mR7qfTuPipY17m7OPVn/6xBd63p7trTGgRx9I0GQvz5m+nYtj/jDNPFmTYeK9/oIUkBkHgpFJYhC6dSToayMl3EWqReS/0GAZSkRl9EciIi+w/065sZ9UwiRTKB8dcZgMQ48+eff2LGjBkOgDuv57+zdoy3VisMS4LuLdLmpYdcgS0pmXjqjH0wdazrgq7ePrMr3q9jje2o6jgT+Fnur1hjfK8I2HLt7nfAu2w7UFMkh7oig9IzA5bcXDQWFyNc9OOjMkM8s8pOlu0POexsaJBiqk4ssvdAjM5MRVSE64KnHc0yFk5lAdX+if2RFO08Zru7pyl48EEUz38eyaedioxbb+3o0frnfvCAjjN+cKpuUnlAA+56InQbD2jAvdsMddBf1CjcFhshQE2yE6CGhX2IPkhhH0g6ottWJ6mSJZIyKe0i3ZE5T5YMme4BYcm43WlzF7q7ODXXqvmrNxVUYeb8X0F5mZF9pJDqP/dDL11I1caRenHqOK80EGL+d62z3rGjcgeYNt47rjfS40Tmxd/m6UGsv/vlRfs8CLZs246mygqEhbcgqn86eiT28aLFjm9lDFxful4xG1lAnAVU7Y1xZp3IKFDybquwO+3t4IMPVvVrfGE7512FCqm1s2vIGJy35zmIjAjDc7MmYMrIAMwpX7xAJ2hDxxrbQdBxphNMSh91Ib86H0W1RQqwJXDrdyuWItH1lSK7kiXyZWmo37gJzfV1iBowAOFJIX7QywwxZort3iPxG19VVeXUpZGpmejbKwV9enqeUWBkU6XEpKBfQj+nz3F3T1MhtdR2XjkXMXvuicHvvO33aaAfYG79rv2lPeCNBzTg7o339L0h5QENuIfUcIV0Zw1mZEJUAgb2tGPzCQiA3N26gn2kYJGLom5OHVAvC8fijXKPAAh9HHXaqeFOGYRBSYMQH2lCqqYTedvdxWkgukxN95m7C6kOT09QoHt6oueL80D0OZDP0CCIuQV7Z5rbgZwnofgsgrXUb2faeEC+pwISI08yn2h994Kg06HoNoc+N5aWggXhaNE9GxGWJPrEoq/rb9tSvgU1lhpkJGQgNSbV4XH8XdywYQOOP/54p4D7HnvsoRjwvrCGHTuRffTRaLFY8PHMq/FUbR9EC+j+0uxJ2H+on/WaffECnaANHWtsB0ED7p1gUvqoC9ll2ahtrFWALYFbv5tRWDRtmBSyjkHd+tYi0zGjRqGHyGmFtFnqgMK1QicV+TKJo1tyclAs7H1nFpHUBzEJSRjZN9HjrILKhkpsq9iminMzO8GZubvua9i2DZuPPAo9pGAqC6dS4kdbYD2g40xg/d2dnqYB9+402t38XTXg3s0nQABfn2wVslacMlZE1xV5wnCnmQVWGmqAIlkcS6o8+gpYb2dGsbisnllIjPJcmzCArnJ4lLuL00D1cUtRtQLd8yrqMKR3PBbOmYy+SRp0p//14tRxFmogJFC/mf59jlGHg+n91G/3e00MSslQUqaHAO0ZArh3AWuWVP6GTZskmasZESkiJdOjhKi7Q8Fvf7xqQU0BCmsK0VOeNyDREeBnnNkkfZs2bZpTwL1Pnz7Iy8vzWdfy778fJQteQNTQobjnpJvw1fpixEWF49XzJmHfgY4HAj57cBdpSMca24HUcaZrTGzr2ksBkYJUhB/uP+RvybBtrKqFZccOhMXEIFoKWYe8MXNYvZ+YEJp25OYjPz/fqY57ZM9e6BGXjMG94pEY4xm4rbKpSiSbSv5H+TLKiNqbu3sadcg/aT80i6b+4A8/QMxIW9nQkB+bEHgBHWdCYJBCtIsacA/RgdPdNu8BDbib95m+wzMPGJt9p2mGTY1A/qrWhjPGC8DSw/2HtLE3nIMy1I2nfnxmQiaSY5Ldb7cTXenu4jSQXd5aXI3T5y/GzrJaZKXGYaEw3funiI5+Nze9OHWcABoI6Rq/FCy6yXRxp1lK/nhFIxWeNT1Y2yPEjeBBg7ALm6urERYbJ9rAAm5QDs1FdpavX5fsdrLcWbh8ZMpIBwYj40x2djaOOeYYp4B7dHQ0eI2vrKmiApuPOBJN5eVIu+VWzKsZhEUbi5AYHaEyp/bqH5rx2lf+6agdHWtsPaTjTEczJjR+bshPuqz35OvXaLLI/mP17v3HODTs3IWmsjJE9OqFyL6i6d4VLF8ykyTTF2nDUVBeg23CHLc3HqTH9UyBJTYVybFRyErzfD3vTjbVli1bMHjwYMTIwUZ7tnXW2ahZsgQZd96J5BkndoXRCKl30HEmpIYrpDqrAfeQGi7dWW88oAF3b7yn7zXjgdyqXJTUlaBXbC/0ibfTq+VCkAtCCNDeTwB3MybFecB0UBf3bq/cDi7g+8b3RVpsaKaqd0bAnUO0o7RGge7bSmqQmRyL1+fsh0HCjOnOphenjqOvgZCu8RvBNHGmi1O7nRrufreqQkkZ2dFaLJVFU0PcGouKYcnLlWysMEQLq1sp5BixK2OcuYNmD3zRLExHMg/5t7OaJkacOemkk7BmTWuxcXurra3tECAx07WSV15B/l13I1zArcxPPsPst1ZjyZYSJMVGqkPcMf1CXD/ZjDNMXqtjja3DdJwxOYE66eXuaID7tOsN1ZIlu0Flybb0GYP69RvQ0mhB1KBBCE9I8OmjgtZYkchuNoj8ZvJAlNb3wObNctDrxBJFr74+trc6jB0tsjIR4SJD44EZBCtXGvxm9jT599yLkpdeQsqZZ6LvTTd60Bt9izce0HHGG+/pe9vzgAbc9fzoNh7QgHu3Geqgv6hRbI9gO0F3GzNAc2oMEngwYzbsFEd2/K6qXaB+fMCK/Jnpu5vXmlmcutmkzy7LK68T0P1XZIvMTHpitALdh0tB1e5qenHqOPIaCAn93ways1l0k+nig5MGIy7Sc/ab294oF53z6gIpYieFNJMy3b6tM17YXF+PepFrkTx+RGZkICJNDn/tUv1N1S7x8CWNjK+MeNFxFyajtRlx5txzz8Wvv/7q9Ak7RGohM9N3Y9EiEjubpx0nRWS3oddFFyH2/Asxa8FiLNtWhpS4SLzxr8kY1Vckd7Q5eEDHGluX6DjTNX5JDBnIzETJSo0OQJZLbSlQmgNExaM5Iav1Oy2Ac8zo0SJ77hng3OlGolSKYNeKfFliBqrDErF2rWi6O7G4uDhEpg1AraUJ/ZJi0UvW9J5YlYD7Wyu2IlIOMUakOuq4m9nTlH/8MXZdfQ1i99kHgxa+7kl39D1eeEDHGS+cp29t1wMacNcTpNt4QAPu3Waog/6iXHxxEea0CJI3Wr1SwA95hhwNWYK2C2TqxlM/nuACQYZQNDOL02C8X2FlPc58fjHW51ciNT4Kr5w7CWMzuyczUS9OHWegBkKC8Vvp22fWy6HoprJNivkWEP12dr8kG6CsTM/+QEIAGPW+dVlbazZSMsKYjBo48C85lzyRMmgWSYNeAkoI4ONva495aMSZK6+8El9++aXTrvzxxx/Yc889fdrNii++xM4rrkCP2FgM/eIL1Cal4KwFS7ByexnSJJ4QdB/RjQ9xXTlbxxpbz+g449Nfy6A0FnD9dr5lZb782QXIHqGxKUFlIYXJdzpaGO5dxioks6pK6m/EpcEi+6CVK3drutu9YIQUiB0wbLSSioyJDMfw9ASPiqdaj6MzHXcze5p6YeNnHztNtOXjMHLpEinp0jWKp4fK3NJxJlRGKvT6qQH30Bsz3WMPPaABdw8dJ7f9/e9/x/jx4/HII4943kg3ujO7PFtYE7WqWBuLttlYB4VP23WTMC6R90frJU4KrrZbrDVE/G9mcRqsVyqtbsCsF5Zg1c5yKbYUgZdmT+yWhe/04tRxBmogxPPfys4SZygHRlkwMtvJcA+IsWAqD2MpJ0NZmRC1xpISWHYJoEMpGSnCFxZlVUSuUKQMpMYIUgTciU3x+xtWi3xCTkUOIsIiwIKEPEAxzIgzd9xxBxYuXOi0L99++61a+/jSeCCxdebpqF2xAkknzUA/eX55rUUd4jKe9EoQ0P2fk7t15pQzf+tYY+sVHWc8/63sLHGmI2a052/Yzp1l24GaIjnU7YuG0gY0SYHOSCkQHdE7dA95Hd62Wt6vXN5T9l4tEk9///13lw4Zv/c+WJdXKdJjLRjaOwHxUlPDE8sukz1fYy2cZSqY2dO0NEkR1gkT0SJyZkM++xTRQ0JfXs4TfwbrHh1nguX5rv9cDbh3/THWb7jbAxpw93wqdJYFqvEGLIJz4YUXghviBGFnnH322bj77rtBxoIru1OK0Hz66adYIRvdKAEByqRQkL9sY+lGNIhW+6CegxBvz+QzNBRZzV40FE2ZLAqRu6L1lj7CvAu3fV8DKEqMSkRWzyxTTXeWi80sToPZ54o6C857aSmW5pQiVtgx82dNwN+G28kHBbODAXi2Xpw6OlkDIZ5PvM4SZwxJsLriOtw892ZTccZ4+3qRVdlvv/0Uu2758uXqwLpdy5WD1BY5UGXBVBZODUFrtljQsHGTqMc0qQJ8LMRnYyU5wuIXSYOe/QTwsatt4of3pX77upJ1omzTAnvmoRFnnnzySTz99NNobm526MF7772HE0/0feG6GpkPBN0p5TD4gw8QM3IEymoacIaA7n/uqtCgu5O5oGONrVN0nPH8g9FZ4oyRgfPgTQ9i5dKVWL16NUaLtAv3KB0Zv1/z5s3Dm2++Ccaao446Ck899RT6CHjerhWLhEx9JVqSBqB+a4F8q5tba2xIxk2XsboKyRgT3fYIKVCaPlrFYIvEJme21157Ib+qEaXy/U2Ji8KAVM/k49rT4je7p8nhgazEiH7334+k46Z1mWEJhRfRcSYURik0+6gB99AcN91rDzygAXcPnLb7ls6yQGV3moQBQPCir2zo75cFSW5uLmbNmoV//vOfuOuuu1y+5C233ILk5GRQl3XBggV+BdxZrK1R5F+GJA9BbITdQlYWu+CiN0L0AtP3MD8ou5a33kOwnqC9lZXXl4NgUUCZmebfoN07zC5Offx4U83VNjThX6/+hkUbixAlBZcem7k3po7ta6qNUL5YL04dR08DIZ7P6M4SZzaUbkBdQx1mHjYT/TL6mYozxttffvnl2LhxIz7//POOAfcOMpc892hg72yQg/CmigoF3kQJM8+aUa56UiHM9yqRNIgXNmWSSOcEwIxss8wE0UiO+Usj2Ygzr7/+Ou677z6ngMxzzz2n1hX+sB2XX4FKkbKJP+ggZM1/Tj2CoDsLc6/JbQXdFwrTXcvLtHpfxxrbWajjjOe/lZ0lzmwp34IaSw0evflRjBszDosXLwZlrNwB3Ek4IoHoJSmwmSTFPy+55BJJKgrDTz/91L5j8qVAdFM9muL6o2FHvpIsiR41yiMpFc9HwM93WuqAQtFtp+SmZAKvXbcO1dWSWeXERvHdI2OwubAKYZSQ87B4akV9BbZXbkd0eDSGpQyzeZLZPU3e7XegVOJS6uzZ6HPtNX52lm7e2gM6zuj54C8PaMDdX57V7XY6D3RFwJ0Lx7Fjxypfv/rqq4iMjFTM7//85z9tCyiyH2688Ua88cYbCmTm9ffee29bqnRxcbFarP3www8oLS3FUGE73HDDDZg5c2bbGNovULnQO/300xWj4owzznAY6wkTJuC0007DVVddpX42ffp0tThk+2SkE/QeMGCAAiSGSdq5GSOAMW3aNOyStHWDzfHMM8/g2muvRWFhoWKvt2dcoF4hGqruMNwHia7hnDlzsGHDBvz3v/9FmhR/e/zxx7H//vurf//6668xRICFF154AXxn2osvvojLr7gcdz99Nx697VHs2L4DxxxzDF555RW88847uOXmm1FeXoqzTvoHHn72JYSb1ejLFT1CFqAjWE/Q3sqMFFVniz4zPg7mtWYXp8HsK59d39iEy99YgS/+zJMFO3DPjL1wyoQBwe5WQJ6vF6eObu6KQEh3ijMWKUxNwH3R/y3CxWdc7FGcYYyaO3cuyJAeM2ZMh4A7geln7rkBH8szv/npNwwU3XPGlN6S5s84s3TpUowbN07FeMZn2q233ooPhB192WWXqf9fIlIuPHhmfHrwwQfx0EMPKdY2gX/Gf39bU3k5GrZLGr+8i2JMxgi70N6qCyXVf4ek+otkTlpgUuVdMQ+NOPPJJ58o/9gzIJktR7kZriv8YQ1bt6oCqvJgDHj+eST87UD1GMqVkelO0J2a7gTdRwoI1N1NxxrbGaDjTGjvZ6yzb4YlD0O0rOWNb3pHgHu5fGsZGyiFddJJJ6mJsU5AZbLjf/nlF0yePNnp50LtZ045Fhuyt+K/n3+LVAHqH779dhx8/PEu9zPGfum1115TjPrt8o232c8IkYn9Oeuss/Dwww+b38/448PGbKW83brtkgm8OWer2ns6M8ZTErE2FlShjsVTk6V4aoL54qkkWJFoRRuZOlLJmBlmdk9T9t5/kSsxKU4y5Aa+/JI/PKTbdOEBHWf01PCXBzTg7i/P6nY7nQdMAe6U7hDmQVBMdGO5aXXHCIRQn+68885TQPtvv/2Gf/3rX0pr3WBm8e81a9bgnnvuQb9+/fD+++/jpptuwqpVqzB8+HDs3LlTgfGHH344evbsqYBxFhL7+eefMWnSJNUNa8Cdi7wLLrhALfYIfDszLszWr18PbmaZzt1LUsvJviBgMHXqVJBVxo0sgXca2+OCrj2rqqpSP75ZAOuPPvrIhgWyZcsWBXwvW7YMe++9d7vtmAXcK0XjkMz5Qw89VC0o2fcDDjgA5557rgJB+B581z///FMdcrzw4gs4//zzMfHAiXjsgcdQU12j0tL33XdftbC75dq5yF71K2b862oB4V/Fqaee6s5Q/3VNm/TAaJEesAU1qCFILUEu9rjoC0UzuzjtDO/Y2NSM6/+7Cu/83jqfbzp2NOYcFBhAKZjvrxenjt43BYToONPp4szO4p0qS+iZ+57Bov8tMh1n8vPz1beeYDjj3uDBg90C3DP7puOh26/D+IOPVTGFoAtj2jXXXIOsrCwVbxg/CObTCM4QWGc8ve2227BZiq0RfJkyZQpGjBiBiy++WPmW9/36669K3sZf1tLYiPpNIiUjf1MLmJrATo1FYVkclllf6SKdEwAzmIdRkg1GWRnDjDjz448/qvWHvaQMyQs8mCf73V+WLzJ4JS+/guiRIzH4v++1Fcgj0/3MBYuxemeFKsz92nn7YY9+drVg/NWpTtqujjW2A2MqzvDWYMUavZ9x+htVUFoAMtzDw8IxMmWk2ju4C7h/8803OOywwxSIzJhgGA9q+c3i/s2ZEXCvLC/DXdddjL9NOBSPzp+Ptz77DAfpblV+AAAgAElEQVQceKDL/Qz3S9xTcg9Iohb3Qzb7GQHcs7OzMWPGDEUqMr2f8df3Jm+VFOhulALdI7E9vxgFBSKfw98BOyPxi8St4qp6VTw1OiJcsoo8K566qXQT6iV7wL52l9k9TZ0cnmyZfgLCEhMxYsnirpV94K/x9lG7Os74yJG6GQcPaMBdT4pu4wFTgDt1tu8SndFg2A2Sdm2v++2iH1wEcSFhgL287LrrrlOANEF2ap1z086/CbYbRnCdYLorCRYC6Uy1e+CBB9QtBuBOgJ5ssA8//BCHHHKIS+98/PHHivFA9jx1CQkKcCEWI6w3Av88BKipqVHgNY3vwPFpzwwmPBd/W4Ud9qWkYxvGtuLj4/GZLB6PPvrodtsxC7gfJCnfPCig5eXlISMjA//+979VFgGNYAYZ75S2oczNghcWYM55c/DZks8wdcJUtVjihp5tEIxJCBctwdIcTD3zcgwasQfIzjdleatlISltyEISUbZ6g9SNp348n7lHmgdyNaY64p+LzS5O/dML861yMX/np2vx/I9b1M0X/X0orj6qdSPVVU0vTh1H1hQQouNMp4szcX3jUCo643dffTcKdxWaijP8BpD9d6AAGDzUzsnJcRtwv+nyObj95utV0VQjplD6jIA5jVq9syXFvFaKqdEIzlBSjTEpUTbmNMZZHv4SfOcBN41x/JxzzlHrAn9ZgxzaNwn40yMqWgqlDpVM/tZnOxiLwrI4bI9wIGMvf3XHpl1XzEMjzpB44AwkIsOdtWGeF/a5v6xRfLb5yKPQLCBWhhzqJ594QtujymssOOsFkZjYUY7kuEgFuo/NDN1iut76UMcaWw+aijO8NVixRu9nnE79pH5JoIa7db0ldwF3kp0YC5i9bG3c0/HAlcC4Mxs0aCAO2ncsXnniXtQV90BeUSGGyPXt7We4X+KzNsmBqpFdZbOfkYxlI/YQ0De9n/H2w+Dq/kJhm5M0lzIYeeV1beQu68u5NifY3r9/fzQJK35tbmvx1CFSPDXBg+Kpu6p2qbVDWmwa+sb/JS1pdk/TIllP6/fZF/x76Ff/Q5QcCmgLjAd0nAmMn7vjUzTg3h1HvZu+c1cF3A1JE2NYCYaT6cYg/8UXXygWOsFoa+NCjSyFt956S2miE3h/++23Fdu9oaFBLeROOOEE9W80Au5ccBEYp0bgxIkT251FlGuh/Ao1Ccmy4x9KzBBsJ5hABt7VV1/tkT5qoAF3MgXZVxoBFQIZ9MvJJ5+s/s1g17MwDwvwzF8wH5dfdjmWbV+GUamtLD7qx7/77rvqYAQ1JSLWuhVnX3k7KgU3p1SNKcuXNgRYR68RDgczTaIFzCJxtNFpo0XixAXwYeqBgb3Y7OI0sL1r/2mcH099txn3f9maWjpz0gDc/o+xiBB9965oenHqOKqmgJBggSDstkkgpLvEmU1lwlJrrMf910p9kB25pgD3xx57TMWG77//XqXWmwHc337mXpx8msizJWW2xZQlS5a0xVoWCGeWFdP3mYlGcIYSZSqm7DYCxEVFRSpLzTAejJNxT4kZf1iTHHY3CMORFiVs/nC7tYbNM4OkVW+MqTXz0IgzlEhgwUF7Ixjzj3/8Q2UE+tOKF7yAAjk4iUhPx9Avv7ApXlhea8HZLyzBiu1l6BkTgZfPnYS9s1L82Z1O27aONbZDYyrO8NZgxRodZ5z+Tm2t2ApKQPaJ74Nesa3Fpf0OuA/MwsWzTsTc8y9AQ5mwvyWLJ04OZNvbzxBw5x7IWgPdZj9jFXvIfje9n/HXF4eZVMyo6pmJkoYIxcJ3ZqmpqYqURttRWoMSkfRKio3EwDTbPbM73SyrL8POyp2qbhfrdxnmyZ5my0kno07IapmSrd5zqmN8cqc/+hrzHtBxxrzP9B3ueUAD7u75SV/VBTxgCnAPVvol/WwyBbM9IIQgLzXWuSm31wqnljoZ2QTByWSnDM2ee+6pwHmmJZLhxbR4GgF3sugo2XK86P1Ru70j5u4+++yjdN6pKXjEEUfglFNOUexwMspGSgo1mXgE3mmdWVKGvuAfw/je3IRTl55mD6o8u+BZXD33avye83tbCrvNQrq6SHRst+OceXegrLapzcdu/4oVSNEjAYSQJtr30bbargR81xTLz8XsdQTdbj/IF3qyOA1ylx0e/8aSbbjx/VXClgGO3KOPKqYaEymszi5menHqOKCmgBAdZzpdnFmcs1gN6sJHF+LTjz81JSnDmMDsLuvYyANtxl7G4ZdfftnpF0DFlAUPYvopZwIJ6U6B+u+++06xFw0ZAWfgDJnsPOw24rYRu1lknPHd18Z40yBs+mY53A9PTkFU/8yOH9GOJFrHN3t2hTPmoRFnCBK5ktth5hrJAv60ZiE3ZB9zLCxCduh9+WXoJdKA1lZZZ8HsF5fit61S/0ZYly/OnoiJg1L92aVO2baONbbDYirO8NZgxRq9n3H6+/Tbtt+EVd2EwUmDEUcfibkLuHssKTNwAK4491QB3f+JxmoLwgVsjs7MbHc/4ywj2N3YE9QPCWuFsGZIfDqqwpOUxr0z4z6YWWC02oZGpeXeQ/43KiMRkSaJMtYZxiRbGYQnT/Y0uTffgjI5vE+TjO70uc4lgoLq3y76cB1nuujAdoLX0oB7JxgE3YXAeMAU4B6YLnn9FALhLBRqzXK7/vrrleQLJWVY7JPgNguiUhrFmR133HFIF3YV09dp1DLlAmSPPfawAdy5ab/ooosU+E52/BNPPNFu/6kjyOeTpbdo0SLVJtug7vlXX32litEZZkZSxiiaSgkX9pv23HPPKRY624mObr/gjVlJGbOA+zPPP4Nr5l2D5VuXY2iybYE7VQxpd+G4c+bdKYB7oweAuywcRasdqdJ2jKOu69ritQL0NmNYihRiCjdf/MfrSellA54sTr18pF9u/2J1Li57cwUaGpsxSQCS+WdPUMyZrmR6ceo4mqaBkBCYEN0lztQ01CA8PRyRYZHYvHizyg4zE2co3WYtjcYYR/Y0D74J6jJ13Zm1Ae4zZwOxKSEDuDcWFcOSl6u0x6NFbq6HHNJ3aAVrJX7VuYxfHd7vwQVM8yfoTmCLABfNiDPMWDMAF/umSQggMcDfVv7Jp9glBebD4uIw9H9fIkK0/62tur4Rc17+Db9kFyNWDm6fl1hy4DDba/zdx2C3r2ON7QjoOBO6+xkCsy1pLepg1hqYdRdwN4qmsvYWtdNp/E7xO9Zu0dQsAdzPOxUXnHqe1NtoQpTUBomQwqntEYhCFnCvygcqZI8p8bQ+rpXo5cyioqJUZrJhmwRwrxHgvU/PGPXHjPEAen3peoeDFE/2NKVvvoU8yWKL/9vfkPX8fDPd0Nd64QEdZ7xwnr61XQ9owF1PkG7jga4KuLNoKjXRWaiTDHT+fxZT43/TzjzzTCUDw39jQVEC9F9//bVaZBx77LGYO3euAgSoEZuSkqJSz5liSDadNcPdYMlxYUcAhrqn7bHmCPpzMdhbiqgRtKARvCZQTzkWLhY9MTIG2Rdq0rOgGTVsqRc/Z86cNk16gvyzZs1S75kpDA4awZCSkhKlb0/tWx4C0KgNT5aDM6MmoVnA/an5T+G6q67Dym0r2zb3NgvpqgJZCO7EOVcJ4F7jAeDepk0oKYuxjpqu60vWg7q1TGlkamOomSeL0876jr8KQPJPAUoqBTBhISZKAmQkhd6YuPKvXpw6eqarAiHdIc4U1hQqXd2e0T3RL66fR3HGekaYkZRRDPczJWZL/RZn93U2hnuz6Ms2bNyIFjmgj5RYHCFsSbeseBNQXwkkZwFxaW7d4u1FdQLwby4TXXuRWCPARaDLiDOUFGCmnzOjLB4levxt9GHOqaehTkCh5NNORYYALfZWZ2nCv179HT9sKERURBieOn0fHC7ZU93FdKyxHWkdZ0J3P2MvPUK5zqqqKqV/TukwSn3SSHoiIEypTxZJZVFS6rTTLpRMGNasIiBOibFLL71U/Xt7GTmDsvrj8nNPwwUnnaOujRGAPkxkZbok4L5buhNRCWgWchL3xs6MGd2jR49u+1GpFKzeXlKj2O0j+yZKzDBXg2lbxTZUNlTaSAV5sqeplViQc/IpKgth+E8/dphR3l3igL/fU8cZf3u4+7avAffuO/bd7s27KuA+ZswYxUpnIR2mrnMhdscdd7QFaItsjPnfXKxx4dZL2FOTJ0/GbbfdpiRkCEKzMBvB6ThhWFEjneA0WRTOAHdOnLVr1yrQnWA+gXxnxnb5LErJEMynsT1qw3NhaRwIeDIRWTSV70kQggsmatdSGocyODQDnKC+OkFzGtPtnaX0c4HLd3FmngDuT85/EtdfdT1Wb1+NrJ4CKojZAO6VeUBlrueAe9GGVj3OFHkvYW/YG4umkkEzKGkQ4iPN6xB6Mh6+vMeTxakvn+/rttbmVuCcF5cgv6JewPYYBbqP6GMrBeTrZwaqPb04dfR0VwVCukOcsd8sexJnrGeEW4C7sOJYZFQB7rMuASKiQgJwbxDt8yZZI4TFxiJKNHA7kphr80vpVsndlzomiRnyxznQ7evvF5mHrG3CzC9mncVExLQB7gMHDlRyeVxD2VukgFGsZ+P2u3nR8ZqlS7H1rFmQRRyGfPQhooe2ZsdZW72wUi9ZuBxfrclHRFgPPHzqeBw3rp8XTw2dW3WssR0rHWdCdz+TW5WLkroSpMamIiM+Q+0/WPfD3oz9ixFHrPcqXCfPmzdPEZf4jWImFaU+XR0esu1BWZm49OzTcdGpZyMsJra1wHUHEpkhy3CvrwKKN8r3NAroM0YRzRobG0W2PlIdYhh/20utsmjqOime2ijxYGBqHJLi5H4TZn1oz5ohNE/2NJQaY+FUKbKGYd99i0gXh8ImuqYvdcMDOs644SR9iUce0IC7R27TN4WiB7oq4O4vfdZQHOPO0Oei2iLkV+cjKToJ/ROdSAhUCNu/SkD3OEkJT/ag+nyRMASFQYHkgdKGI6swuywbtSI5Q7A/MSr0gF1PFqedYdzb6wOLMbH43ebCaiRK8bvnzpqA/YcGht3pT9/oxamjd7sqENLV4wxB2Q2lG1R2UEAPK5ukcnb+6taJlDEOgr7781fWJ203CRuzISdHtUVgmKC72+Zt/HP7QbYX5pTnoNpSjYyEDKTGpNqAIASpSDCg8dCeIBQBeGbTMR51JFPnYZccbtt+8SWoEuJDgmQXDnj6KafNWpqacdU7K/Hhil3CvgTuPnFPnDqx9WC/K5uONbajq+NM6M52Y42emZiJ5OjkwL1I3mrZOsh3rT5MyVZ1aRCXda5Y70r02FvjqvtM9bzyOhRU1iFeamYM7e08+9nVoLEQLgviRoZHYkRKa40yT/c02f+YjnrJKO//1JNIlILp2vzvAR1n/O/j7voEDbh315Hvhu+tAfduOOhBeGVKEpDlkBKTgn4JTthnIicDysrE9waSnGv6ttvt4s2Skl8h9wpYH++o42oACwFfzPvI154uTn30eL81UyapqtThZfG7KElXfeCUcTg+xNmJenHqOF00EOK3XyG/NmwUPONDRqeNbit45teHsnHRjUeR6ISLbjz6jvX747x9AOVP6jdtRktDvcjIpImcjDDVzdjuouEQ2R6kObK4zTRl5loegvMwPDkmGZkJmTYgyFWin07JJMrfMSuPUjKUmqEmMjPyAmX12VuQLTV1yGrMEqmI+Mn7OX10k1TjvumDVXhjyXb185uOHY05B4nEXBc2HWtsB1fHmdCc7MyyYbYND3iHpwyXtaA5BrXHb82iubkrUFcWITJgPRAlmT3hktnTZU38jNyVra/XZ09hurtRX2S3M1h3aX1eJVrkf8PTExEbFe62m1gIl+NLG5k6UjKRIjwG3HddfwPK338fvS6+GL0vlew3bX73gI4zfndxt32ABty77dB3vxfXgHv3G/NgvHFedR6Ka4uRFpuGvvFOUubLd7QWTk0Q/dWeHqSDl2QLZULYeATrCdrbmSGLwFRVpqyGmnVVwJ3jQB3eK99agc9XS4aD2LVTR+GCQ0zIMXSywdSLU8cB0UBIJ5ukbnanvL4cOyp3KLkRo9i1m7d6d1ltGVC6BZCCnug90ru2AnC3han5+fmqQKoqlCoSKKaMsYsxjPVF0keZutWbiyvkkHp75XZER0RjWPIwj0EQb/rgzr15//kPShe+gRjRbx707jtKbsiZEbC75/N1ePYH8aXYpYcOw9wjRgRE/sad9/D1NTrW2HpUxxlfz7DAtFdjqcGW8i0IDwvHyJSRgft9FZnJ5l1/or5cDnaF9R0zWmpZmP12B8ZFvntKnhRKlYw19JK4GiXx1YRtLa5Gea0FqSIp01+kZczYptJNqG+qb8sy9nRPU/Lqa8i/8852M57M9Etf27EHdJzp2Ef6Cs88oAF3z/ym7wpBD3RFwD0Eh6HLd3lX1S6U1pUiPS4dveMcAXGUCSutRgqxJQgY39MkO5DeK80RDdxSuVeKwSakO/hzZ+VOsChTn/g+6BXryIDv7APg6eK0s7+X0T+yE+/8dC1e+ElANrEz9svCbcePQYSw3kPN9OLUccS6IhASavPSk/4aB6UuM5M8adSde3j4ykPYGCmAndq5Wco2hVKlGHmEFFk3bW2MfmEc9hXmYYDM0mzBhhKpfyLGwqmWBguokTx48GDExMQEqBcdP6axuBibjzwKzdXV6Hf/fUgi492FEXR/6rvNuP9LyZAQO3MyY8lYAfPcl0/ouEed4woda2zHQceZzjEvzfaCZBzGmgQp5jmwp8hCBsqk7lPjzk2wVIcrCTBnNSIC1ZWAPadAmOYir6niKuOrCauubxQJyCpVNHWUFE81sz7fWSV7sLoytf/iPszTPU2NFHrdevoZiOjTB8O//85E7/WlnnpAxxlPPafv68gDGnDvyEP6513GAxpw7zJD2alfhCw6sunIbifL3cG8LRpXJkXnalwXnTMKMhmLvU7tLCed83RxGmrv+cKPW3D7p2sktRj4+8jeeOL0fZAgmpGhZHpx6jhaGggJpRn8V1/JOiT7kDJgBN0DZhW7RGIs3/OaHgHrqKjf7NiBprIy84VSrfsYRM16Au4E3gl0RTRHdErAna4qevY5FD78MCJErmfo558jLDq63VF+7det+PeHq1UsmbZXBh46ZTyiIkLvALe9l9SxxtY7Os4E8MPnw0cxi4rZVCTjkJQTMJNMqobt29DUQP323qLfLhm2Xd06kN9s7/V5mLmpoAq1kpXat2cM0uWPu8aCuNyHxUfGq3ownu5peOi6fsJE8MM+/MdFSndfm389oOOMf/3bnVvXgHt3Hv1u9u4acO9mAx6k12XBHBbOcQncdMBQ77DbHTDkDa1aFoZjgbhQM08Xp6H2nuzvl3/m4fI3l4vUTLNi0bw4eyIykkwUIAzyS+vFqeMAaCAkyJPSg8db6+pSboSyIwEzbw9gA9TR5poa1Ge3ypdEDxmCsDhzafZt3VRawtTWlb/T9xBpmcD52jgMJ9CVGJbYaQH3ZinUunnq0WjMy0P6VfOQNmdOh6P8yR+7lFyZpakFBw3vhafP3DfkDnDbe0kda2y9o+NMh78SnfICFua2yKEjD/3Icg+UtUjdqPpt+a367YMGITwhcM8O1Ds6PKdtr+SZfGdpdQO2l9ZIAdQwjJT1Odnu7litsOpZGDdMCqAzm6q+vt7jWLP5mGPRIHG3/zNPI/Hvf3fn8foaLzyg44wXztO3tusBDbjrCdJtPKAB924z1EF90ezybGFF1GJA4gD0ZGE4e+tAg73DzrdpwAs7hrIydsaCrSzcmhwtxeESHX/eYftBvqA7Ae509YrtZaqYalFVPdITo7Hg7InYs7+59NdgDZlenDp6XgMhwZqNnj/XfoPcw82NtedPtLqzaKNQx6uAZJEXiOucNTfI9uOmv7m2FuHJyYjq70Gxb2tn5f8phUEbpGjqcEHvAwf8sGgqD6QToxKRHpXuMQjik3HvoJGy9z9A7vXXI0yAsaFf/c8t+Z4fNhTigtd+R01DE/aSGPLCORPRKyFwBxr+9IuONbbe1XHGn7PNP203ip74+pJW+ScCsdRxD5Q1F29Hfa7UzxBjfQhXtSEC1Z+APKdSaiVV5gKsZZViXr6nWeLeOime2tjUjCzRcU8WPXd3jPGShVN5kK/qwYiMvKfyZbuuvRblH36kC6e643gfXKPjjA+cqJtw6gENuOuJ0W08oAH3bjPUQX3RTWVSMKex3jWDxYs0R/ViFTtFgqCgtWAqC6faWUmtpDNW5ypQIatnll98YbFYsH37dlRWymK0sRERUkCvj+gM9u3rpEisyR4YgPvPP/+M22+/HXnC8hs3bhwef/xxTJo0qcPWnnzySdx///1O72N///3vf+P9999HQUEB9t57bzz66KOYOFHSNnfbrbfeittuu83mOSNHjsS6daIH6SfbISyac19aig35VYiNDMcjp43HUWO896WfutvWrF6cOnpYAyH+nnW+b581N1h7w0gB9/0T2mmxYK1syOsEfB4m4HNiQB/t7sMaS0th2blTgTRRUig1LJKF97ywQtFSt1QLCDJIwBDX8j2+jjPV8syc8hxEhkUiKy5LgSCexJmnn34a/JOTk6OcMGbMGNx88804+uijHZxyzz334HoBzi+//HI88sgjbT9vamoCY81rr72mYlW/fv1wzjnn4KabblKFFFvk51tOOhn1a9ci5ayz0PfGG9xyOA9wZ7+4BKU1FgxKi8Mr5+6HLPk71E3HGtsR1HEm9GY0M1+ZARsVHoXhKXLYGEBr3LERlrJ6kaeKlGLXnb84t09cU1MMlG1rjauMry6svTiTX1EH/omNCsew3gluF7k1JOoyEzIRI//7448/cOWVV+L33393ez/DGPPE3XdjK2OvFLgdu+++NnHGnTgUjP2MT8YuSI3oOBMkx3eDx2rAvRsMsn7FVg9owF3PhEB4wNCJHZw0GHGRTja6RZuE0VjpOaOxQhgbVcLciBM9v+QBDq/EgqksnOpP8GjTpk0iK9iC/sJ0DJeFIBesBBB69nTC6Jce8lp3WaME3FevXo3TTz9dARX77befAireeecdrF+/HunprnUv33rrLcyaNQvPPPOM0/tOPfVU1TYXqgQ4CHY8LFq5a9asQaYUAaRxgfruu+/i//7v/9p8ywOFXn7WT6yos+CShctBliIJttdOHYXzDx7itt8CMbftn6EXp45e10BIMGaid8806l6w5gZrbwTUcv+QD2QT0HsUENn55KQI/NZv3IgWOViNlEPViN5OCoGbdZiR5dVTDowTXLfn6zjT1NykmIe0gXEDsW7NOo/izMcff6zi3nA5fGBse/nll9Uh7/LlyxX4btjSpUtxyimnqLg4ZcoUG8D9rrvuwkMPPaTu5T2//fYbZs+ejTvvvBOXXXaZaqJaDp23nXueyO5EYOgnHyspCHeMxf5mLViCnWW1iuH+kkiVjc0MjawpV++nY42tZ3Sccec3oXNdY2SfMvOVGbCBtIZNa9FU1ySZMomIzDTP9g5kX332rLoKoGSzfD8lrqZLfHVh7cUZstvJcifbfYgA7qyz5M5+xnpNAdnurVixAiUlJRg/frzb+xnGmcatWxHz0MMIS0rC90dPxQMPPNAWZ9yJQ8Haz/hsDAPckI4zAXZ4N3qcBty70WB391fVgHt3nwGBef91xevQJACKSy3gImH3NXTM7nPZ2w7SJCsFzN9WsQ2xssgckjzELy+9YcMGNDQ0KFY7wYRoq6Ju1CtctWoVhojOL1nk1VL4h/8/JcW9QoQE3Mk6/PrrrxX4QGtubsaAAQNw6aWX4rrrrnP5TgTnyVZ/4oknHO4jwzAxMREffvghjj322LY29hXWCJmJd9xxh/o3LlA/+OADtUAOtHFx/59P1uCVX6QwrtiMffrjrhPHiqZ04FKPzbyzXpw6eksDIWZmUOe41pABowQXpbgCZvJdQx71zMX67AmEd76iyRZhXzcWFaFHVBSihw3zjRRB+XZBk4sEbG9fW9cfcWZj6UY0iJxN36i+WPnbSo/ijLP5kZqaqkD3884TgFysqqoK++yzD5566ikVWwygxbh32rRpKn4uWLCgrbkZM2YgNjZWHQQbtu1f/0L1D4uQeOSR6P/Yo25PTbIyz3lxKdbmViBe2JnPnLWvaLv74LDE7R749kIda2z9qeOMb+dXIFqzriHBoqmBMgLE9Wv/FP12ICozHeEpASzWGqiXdPachhqpQC0SPmESV/tKfHVh7sSZiOS+6CEAfmN9rVv7Geusueod1SiTYuPca8TExLi9n2F3m2U/tX7fCZIF14hhX/+fLBP2tIkz9q9kH4eCuZ8J5tB7+mwdZzz1nL6vIw9owL0jD+mfdxkPaMDd86H8uxRrsd8wet5a172TC9s1xWvUC45IGSHFdpyk3hfKAtAiC8FUAcNj3GedMX198ODBWP7T1xg/SMBrpuIzJd/OjLR5d9JWBwlj7oorrlB/aGShU25l+vTpLgeJ70ggneA1WX78/wTJCarzv7mwJGMkTorqkQEfJUANGeKFhYXIzRV2vhjBBjLY+cfayPQjU/6HH35QUjW8zrCzzz5btU3A3JnxAIDPJDvduv/GfQQxeDhA5vphhx3W1sTf/vY31b/vvvtO/RsXqAROkoRRwsXx/vvvj7slrTMryz/yPM7e5eWfcxTw3tTcggkDUxRY0hm1ePXi1HH0NBDi+fc9GHHGXm81JiLG8xcwe6dIj6GA8UJSWjLG8QNstgWfX8/vINnYpSIj01O+p2S3C6UPUfL9C3eRwdRRJ6zjSlsc+/INjJ+4v0ttXV/EGQIcZATyfQxju9GZ0UiNTsUfi/8wHWfs35XxitlXjDNkuO8h+sg0/jfBD2ZQOZvXZLg/99xz+N///ocRI0Zg5cqVOFJAdbLezzjjjLbH1Mnh9pbpJ/DUGQMXvo44AfHdNWZNXfDq7/h5czEiwnrg3hl7Yca+XmXpBewAACAASURBVOrvu/twH1+nY42tQ3Wc8XyCBSPOsLfGYV+gC6ayCHO9rMlpMcMlazI6+BJTbXFAvpncW/rCnO5nFjyI6VPl+58hz3ASX92NMz0ioxGRkIbBfZIRFxPl1n4mql8UwkUisnpLtdpbcX/DPYURH9rbz1j7Y8uJM1D9559YcsJ0XCjxxDrOGNe5ikOdYT/ji7ENVBs6zgTK093vORpw735j3m3fWAPung99sBaornq8bds2XHjhhfj222+RIEXFuLklKErg1JWRLf3pp58q5jJBYC52fG0skrO2WDR5xVwWRSqQlHapYo9UKaYT41yCxVm/uKAiaN0rtgUR1SIpQ7CeoL2dGQUAI4TVMTK1fa1G+wUqtWTJRLdmrNu3v1VSHAlcWzPWqU9IqRdquO/atUtp0nJxad0OAXT+oVET/ZJLLlGMdWvj9dRZJ8OdgDfBbsOuueYafP/991i8eLHTYeNzKQvDe13dd8ABB6ixX7hwoWIXvvHGG2ruDBPmJuVqaJ9//rliJ7KPPCCgnvtO0VCkFA0PGQJlizYW4qLXl6GyrhGZybF4bta+GNPP/QOaQPRTL04dvayBEM9nXjDiDOttsO4GN8SjU0fbSDh5EmeMt2emDzNuCKRyg+wUVGCmEzOeRNMXff6SIvHcg97fyYNLpr7z+2jZsQNN5eUIi49XcibuyoLZ98IacFdxbOt69IqoRkS8HBq70Nb1RZwhW5wyY8cff3xbl8g8LGksQUxTDDYu32g6zhgNMYuLcYaHzVyDMKYcc8wx6sdvvvmmys6ipAwBFmfzmllbN9xwA+677z51UE2/8B7KqNlbrtQdKXvnXcRKLZOBb75hahwaGptx9bsr8eGKXarZeUeMwCWHSqZCJzjcMTNbdayx9ZaOM2Zmj+21wYgz1nJWXJdzfW4YJaR++ukntcYcPXq0W9mV/O7MmzdPfWsYa4466iiVTcPvtr01FhfDImvZsAg5bBw+ulNkUrXtZ0Sqsb19m5lRdtjPyDun1G2Tfcju+Mo4a2fuxpmkfkNQLduX1Pgo9E+JU3uZ9vYzLWhBdlW2qMW1oG57nXrHUaNGtQHuHe1nrOPMZDk4rhfZzniJJW+8915bnOE17cUh/ryz7GfMjGMwr9VxJpje79rP1oB71x5f/XZWHtCAu+fTIRgLVFe95UKN4AXBXTKRCYpSt/uf//wnyBpzZbfccguSk5OxQ0AEpnH7A3C3NFtADXfaHml7ON/U5gujsUmYjWlSNCk6wfygMBWfKfmiA4k0Ae3trF7a3lS6CWE9wjA6TRbX7Zj9ArWjztTU1ChgmkVMw6SAnmF/CvuCIDxlX8hu58/IeHdl7T2Xv6f+Atw3b96Mc889VzHoCXIw5Z/sQhYyWivF6ZwZ58nAgQMV89CQC+jIT776ObV457z8G7YUVatiqg+dMg5H75nhq+a9bkcvTh1dqIEQz6dVMOJMeX05dlTucJDg8jTOGG9PCauNwg7nhtcl4F4rh76lW0S7XRiHvTtXIbtm+dbXZ2er14keOhRhAl57ag6ZUx1o6/oqzjjL2DIk18IsYdi6cqvHgDsPJnggUy4HEsyqev7559WBMA9lJ0yYgK+++gp77bWXcpmzeU2g7Oqrr1ZrGB5OkwjATDPGGR4CW5tFssg2HzUVLbW1yHzkYfScOtXUUDRLptR9X67HM9+LnrHYqRMG4I4TxkoG3l8x3FSDQbhYxxpbp+s44/kkDEacMTJPnRFhCLiT4EEyCckr7sgZknBEAtFLL72kvmEksHDdTeDe3hq25qCpskqkzJsROUSkVULssM3dkXa6r8hbLdlBFqCXxNcoW2a/mTjTJzMLXI8zpozqKzr4Vt9OV/uZzWWbUSsSNN4A7owzqyUTKvuBB/GNHOy+k5+n4oyRSeUqDhk/t/ddMPcz7o5jMK/TcSaY3u/az9aAe9ceX/12Vh7oioA7F45jx45Vb/nqq68iMjJSMb//85//tIG9ZD/ceOONis3LYMvr7733XrUJpBUL+4GLNYKQTCMfKptrMq9mzpzZ5j37BSoXepQDIaPCOv3ZuIEbztNOOw1XXXWV+idKfPAetk82GEFvgrMEJMguNmMEMCg1QkazweZgkcxrr71WMcDJYG7PuEDlxtYdwJ0LqTlz5oAaf//973+RlpaGxx9/XDHb+O/UGSew/MILL6hNNsHuB556APfedC8Wvr5QMVC2b9+uGAmvvPKKSj2/5aYbUC4s7rMkbfzhx55QwK871paC+fN3GD+wJ75bugZTpp+pJFL47iz8yYOI+QvmC3jT2iJB/08++UTNBzIh6PuDDjpIycbQ2pOUMZ73njAq+M7cDPD6m266yUYKhos/+nPdunWqsOjBBx+smHq8lkbJGQLV7CdT7Dk/OW8CLSljLUVDXXl+DzIyMsBCqmS0c366MurCH3744SqLItBWXiPFVN9YhkUb5aBF7DJhJ15x+AjZXAVffkIvTh1nQ1cEQrpynMmTbKHi2mKkxKSgX0K/tgH1Js7w3rlz54LfToKpLgH36kI5PN2BHpn7qELPLIL2zTffqAM+xpTeUqCUcYZMaR5yMsYzPtMMbVaCNfz/ZKXz4Jnf6gcffFABt2RRE/hn/HfXDEmZPGHl9xRW3usieXKVxA8yxfmdZzyjDNeLL76ovp+Gsb98Lg9c+Z2nHrlRS8OlpMxeY/DdumIl+WIdxwgWMLPIutYGYxbZ34xLLHg9VUDnfwvz2+gD1xKMM0uWLFE/59rj4osvdpCUYX+Z6t8iIPTOP3Z6LSljvD/jA8eG9UBOOOEEm7jOwxv6gIAY12OM+Vz/sB4J+2gYtd4pfcZYam+Fjz+BoiefRKTcN/TTT5Smvll79detuOXD1VIAEKLn3gtPnrEPesY4kb0z23AArtexxtbJOs6E1n6GMYaxJjEqEVk9ncsTuqu3zUM+xgZm1Zx00klqYvCbQXb8L7/8gsmTJ7dNFqXfvm6tMK2bMfroozDn/Avd3s+wEWO/xO+S0/2MEJnYn7POOkvJZ5nez+zO/jLijv1+hnGGhxGGMUaa2s+89DimH3EgcirDMXjUOBWTPdnPMCZvLqzG9l25uPu6y7Ho+2873M/0GtwLFY0VqNta55WkTN16kRX7xz9UptnFKckqzjz77LNOv7pGHHL1c94UzP1MAEKFV4/QccYr9+mb2/GABtz19Og2HjADuHORQmmOYBiLXbqb7ksghOxcbjQJZP7222/4lxTZeuSRRxTjm8a/Ccbec889aiPKjStBUwKww4cPV3IZBOMZqMlSJvB45ZVXKpbxpEmTVBvWgDsXeRdccIFa7FlrbFv7igszMqEJ9tKXBGK52SRgwI3y66+/rkBiAu80tmddKMyZ3wmK0m6++WZ89NFHNiyQLVu2KOB72bJl2HvvvdsdNrOAOyVOyJw/9NBD1YKSfac0CZnSBEH4HnxXsrzrmurw0NMP4bZ5tymf8WCD95944omqYA4Z9rdcdDqyBTSY8a9rFAhPwNcdawPcf/ke47MSBXBfLYD7LCVbwOdwAU4/cnP/3IfPqSY3/7IZJ55wogJceABCNsRnn33WlrbuDuDONEjq4HKucF6QfcM0TKZIkjFOFh+fS2CoSIrrcb5xQcexpvGwgYcjBF84Bzg3KLNAQMWZpAwBCc49Ak9GIVMCR9RQ58FQR0VTOWe5oKZ1dB8PgKiLz7R+/t64mnd8NjdDBLeCYSymetdn6/DCT8KGFTtijz6K7Z4YZLBEL04dZ4MZIETHmeDHGaZ+cxyYEUTzNs7k5+erbz0LLzPuqbobriRlKqSmRVWeAtwph0WQnIemjCn8zjKmMfWc3x/GG8YPgvk0fo8IcDOe8lvKbzHBF4LXzNohkMvvKO/79ddfVZxwxwzgY5cwJZOFOfmGADgXXHQRDjnkEHXgyG/4mWeeqeIsYyHt6aefVgcMXGMQcCYAQ6als9ogNhruY0fiu/VlmCKx1TqOzZ49W8Uq+o22aNEiBb4zdpAIkC3Me655zjnnHHW4y+88YzEP4BkL+V0ne5w+tJeUYXs51TmwNFhQsLYA337zrek448yPXB9wnBh7GB+tje/DOMpxNQgSPLxnfOO6zTD6lwATD/jtrVkOiTfJWDcVFqHP9dch1Y4F787Y8pqv1+bj0jeWo6ahCSP7JGLBOROUREJnNx1rbEfITJzhncGKNXo/0zpuRpzh3o7/M+KM9ai6C7hzbcw6RPzOMSYYRlCY31yu0w1r028XfgYB98rqOrf3M+wr90tcG7vczwjgzu8xD1g92s/YAe7O9jMGa597038I8GxqP/PK05h+2H7IKWvB4DH7qu+wp/uZ8loLph17DAqFZf7cM08jQlju7e1nqpurkVeTh4ZdDaiprLEpmurOfsYYwxaRr1k/cZLKcLpQAPdBcgDBcWkvDrn6OeddsPcznTnW6DjTmUcntPumAffQHj/dexMeMAO410hRy/0WurdBNdEFty5dfPpixDHF3A3jIogMYoK9BkhPQJKANEF2pjxz086/CbYbRnCdwKQrCRYC6cbChPcYgDtBVy52yBbmBtyVkYVAxgPZ89QlJChAYJl6ptyUE5RlOp+xYec7cHzaM4MJz8UfN7Rffvll2+VsK15O/wkmc8PfnpkF3MkIN8BjapOTUUdmHVkWNIIZZLxT2iYxNRGPPPsIbrrsJsX0M9iIBKTZBsGYhEpJ029pwtTZ12LQ4CGK2eiO/QW4/yCAewK+W7IKU04426YIKN+fwMSy7csQJYV95hw3R/XB1WGGO4A7U+UNKRUCOAceeKACQMjo57/XyiKQxd8ILvFw4e2331YLdLLIOe/ITiHrkCA8zWDi8PDCAGSs35/alJwzZMBzrnGe8gCJ7fJeI6uBAD4Pj5hlYBjBFabjk93h7D7OGW482SeOD0EZzkm+D7NDaGRGHnfccYplyoMCShERuOHvEw81gmnv/r4DN7y/CtTlHdo7HvNnTcCQ3h7IEvnoJfTi1NGRZoAQHWeCG2f4Lcguz1aA7YDEAYiJjGnLuPIkzrA9HjDyG8lD7Q4Lw5VtA2qKFeDO62+//XabmELpMwLmNEqQELjl95ZmFENjTDJqSzDO8vCX4Lsh+cU4TmC6vYNK61n8rYA5hwqYQ8C915CheP2Lz9VzreMZM5QY//hsGg8LeI1xQGr/W+GS4U7Afa0w3A8/wiaO8V0JrNN//N6zmCgPdvnORpxhTCDQz280C48y7nFdYKxzvvjiC7UWcFYEfGvFVlRUV6BiWwVmnzXbdJwh055tE7hgzCP5gEA/48sRRxzh8FFwJmHBMSGbk7HKyILgnON4sy1nVioxMO/mWxAuByFD//el+tsTW72zHOe+tBQFlfWqGPeCsydg3IC/gDtP2vT3PTrW2HrYTJzhncGKNXo/0zpu/OY0NDagb0JfxXJ3ltnrLuDO7w2/tySnWBvXvDxwtf5+NAoJxiLf6bDIZow84hgcdMgUt/czlO3kfsn++2+zn5GsWRpjD/cTpvczThjuPEygGfsZxjyu00l04n7W1H7mtecwfcoE5JQ0YvCek5T0l6f7GcYXxtPXP/4aRxxyIHonRre7n+Hv3JbyLWiqaELuxlyVhcYDdXf3M9ZxZp0coL8ne80FcshixBl34lBn3s/4O2Z40r6OM554Td/jjgc04O6Ol/Q1XcIDXRVwNyRNjEEiGE6mG4FLbjoJnhOMtjYu1Mi6JkBJRjSBdwKaZLuTWcafMy2a/0bjhpEbbgLjZBsY4KmriUG5FjK4KENCkJZ/yLAm2E6Amgw8gp0GC9/MBPMECLFu3yzgTqYg+0pTTEhh+NEvJ598svo3g11P1vagkYPw+HOP487r7kRNdU3bYwnaUueVByPIXSkNNePsax8UtkmNkqpxx9rAm18XYfyAeHy3WAD3E89WY2IAwWQEUpf865Vfo0+/PpiYNRFPSho6F8zOzB3A3Ros54KR40r5ADIKCW6TjWeA1fSPYlLJApkANX/Gucj5ZK35zoKr9IkrwJ0+5TwjAEVQh4vUxx57zIalyc0Jx5J+sTYC8dTFdXYfx42LVGZWGLIHZEhSA9MwzlPKK/GwiH6lfAKvMQ5P3Bkrf16zYnsZLnj1d+RV1CExOgKPnDYeh412LJTlzz4YbevFqaOXzQAhwQJB2GuzQEhXjDOWJqm5UdrKJma9C4Plzv/2JM7wG8VvDGW2mFrfIeBeLJra9RUKcHcWU6y/vSwQThY12ePMROP3jxJlKqbsNn6PmWVkLY/Fg3Ey7smed8e+lvXD4SIBlytxuo8cqr4sB8WMgTxANYwgNhmNPKhg/CEoTtYlwR5n5hRw/+ptjN9jGL77Mx9TjjzaJo4xU4195vqF32ASBBhTDLkCxhiuWxhX2K/58+fj0UcfVUxLw+gnsj+dAe751fkoqChAVX4V/vztT9NxhoAND3p5yM7YwcMAstedge3sjzPAnUA9D+7ZP/qQBwU8ZGAGnytZPDIds2VsGjZtRqoA832uaV2XeGK7ymoV6L4ur1IOmsLw8CnjO1V9EPt30rHG1iNm4gzvDFas0XFGMi1lvb+ueJ1iuQ9PGY4oJ8U7OUb+ANwbtm4T/fYK0W9vwvAp03DxpZe5vZ/hd41rbPvvv81+xir28Jtmej9jB7g7288Q6ObhZlxcnPn9zOsLMP3veyOnqBaDxx1oQ/7xdD+zdHM+oiMjMFK03MMkC8DVfsYolNtsaUb1tmrMvXKuykh3dz9jHWcShRA0XOLeFbKfOvXll5XX3YlDnX0/40ns8uc9Os7407vdu20NuHfv8e9Wb28GcA9W+iUHxGwKZntACEFeaqxzU26vrUc9bzIYCIIzxY6n7nvuuacC5wmEUjKEafHGhpEsOm6Ejz/+eKXB3ZHsDYFfspSpKciN6CmnnKLY4ZSyIcOYTDwC77TOLClDX1gDw/aF2KxBlUGjBuHJ+U8qDfeK8r8Y+zYL6V2tafLnXP8wyuQaw8cd/TK2PWfxjxjfPw7f/boSU2bMtkkrJRObqf5frxDAPbMPDh55sBpbbwB3azkEHqRwcUnwhyACNSM5ts6kVrhApvyBp4A7pRjIatHm6IGCyjpc/PoyLM0pVT+8/LDh6k+gdd314tRxbMwAITrOBD/OEAwx0vw5mt5IyrBWCbO7rGMjgWHGXsbhl3dvlNtmTeF6QFhwBNytgWFnQL0h9WLICDgDZ8ia5jfaOqaYKRDYIn396rXXcdQ5Z6NQWPK9hE3o7ICa7fNAnvOXIAsPAEwD7l//F+MlXn63eiemHHWc0zjGg1ceCsdKwVbK5pAkYG9c/1DGxQzgzkK520q2oXRXKSaNmRRScaZKDnO2n38BeggAM0Tia1T/TI9DZFV9Iy5duAzfrpdaAmJXHSlSRFOGdbi28/iBXtyoY42t88zEGd4ZrFij9zOt4+YqzliPqruAu7uSMkq/fa0A/c1NiO7ZiCEHHYcrrpzn9n6GwLCz77+7sae9X3f7GGcf33ivsZ8x4gDJPqb3M2+8hOkH74WcgkoM3vsQG3k3T/czK3IK0SR1MDJTYpEWH+0ScOc7bCzdqMhvjUWNGD18tMexplzkdHbNuwoxcggy+O23vPiS6lvb84COM3p++MsDGnD3l2d1u53OA2YA907XeRcd4maahUKtWW5k8JLlbjCMCW6TsUtpFGdG+Yz09HQwfV0tDIW1xrQ5Fi6zBty5+LpItFz5TG58jYJornxFHUEynMnSo2QH22QbZEZ/9dVXKhXcMDOSMkYxO7LL2G8aJU3IQmc70dHR7Q6fWYa7GcA9a2QWnn7+adz37/tQXlbe1o+2BSo1aXNXqH/3GHBf8jPGZ8YI4L5CAPdznQIV3678Fr379caFJ12IrP5Z5lIwhXFH4MgZ6GO/QCWIRJkcpsY7Mx6qcNytmZrGv7UnKcMFtgbc2/8KUVbmzk/X4OVfWvWCDx2VrliKSXGBK4KnF6eOY2QWCAmFWNNV4wwL2ZXUlqgUf6b604xUf0/iDCW0rKXRGOOOOuoold1Ebdr+/fvbDnfeagm4lk4DuFvkW/6NyJJNFfZ0iWT4pEjx044Ad74Qv9WMBaYkZb79CONH9Md3K7dhyjHT2wXcKdHDOGKsUex/ZwxJGfrfKKLKtHvKHDhjuDc0NWB9wXoU7ijExDETkRiXGAq/hqqPBNG2zT4XNZKB0FNkdDIffMCrvrM+yJ2frcWLP+Wodk7YOxN3n7insN7dK+bu1cNN3Kxjja2zdJwJnf0MD/gKqgsQGxmL/omtMcAbSRmjaCprbzHTiGasq62LpjZLVlC9HJwKCRvRyRYMPuAfArjPDVnAnRlUlC8zJSnz5muYftAeyMktweAJh7cLuLu7n/ny2x/Rd9gYREVI3ZeyXYp45Go/s6NyB0qrSlFbUIu9Ru7lMeDeILFt85FHqYPWkb//5lHRbBOf2257qY4z3Xbo/f7iGnD3u4v1AzqLB7oq4M4UNUqznH/++YqBzv/PYmr8bxoLnFGeg/9G9jMBeqZDM12QuqcsdkZAgLqpZC8z9Zzp7Vzc2APuZMFzYUcAhprs/G9XRtCfi0GmhBMcpxG8JlBPORYuFj0xMgYJ3DMFm8UuKR1CvXgW7TQ06Qnwzpo1S70nF2g0bsaZQkh9e0qO8BDAWPiS7e/M7CVXeE17DPf+I/vj2eefdQ24L/sdyPtDPeqc6x8Rhnu5eYa7G4D79yu/R1q/NOQsy8HxRx+v9IGZWtgoKenURWT6O80dSZn2GO5//PEHJk+erHRn6X9mR/CghwcqxoEMtW4JylNvl1kTnAOcsxyr9iRlNODu3m8Hdd1vFF33egHgs1Lj8PSZ+2BMP8+0fd174l9X6cWpo8e6KhDSFePM9srtqBBJlz7xfdArtpfNYHoaZ6wbaVdSRoBTJS8mMgOdgeHebLGgXg7If5DYScDdYNK7A7iTuc8sNWoH83tP1jvXHEZRbKeSMt9/ivHDMvDdii2YcuyMdgF3gueUxmMcY8YU5cko4cZaHwT5SRJgdh5jPWM7fwd54M856wxwJ2i9Jm8N8nbkoX9WfykeOtLspy+o19dJjN0y4ySi7xj0ztuIlXf31l5fvBU3f/gnmppbRLIuGc/N2hfpiZ0nw0zHGtsR1nEmdPYzudWi3y0Hu2mxaegb33qwa22U62RmFfXPmT1KqU8aSU+Ul6LUJ3XNWZSUOu00FlvmWp7fZ2YYGd9aynca1igFli1S4DM8OgxR8fUYtH9oA+5kwdMPpvYzby/E9ANHIWdnIQZPOqpdwN3Mfuaa/8hBp8ShR++8CSuXL3O5nymsKUReeR4qRbprn9H7eAy4M2ZtnLw/mmTPOEj267Fjx3j7ydf3O/GAjjN6WvjLAxpw95dndbudzgNdFXBnwS1uOFlIh6nrXIhxE2qktVtkI83/5mKNCzcWHSNIyhRtblIJQhMwJThNjTxq1xKcJovCGeDOgV27dq0C3QnmE8h3ZmyXz6KUDMF8mpGKzoWlcSDgyUShph/fkwswgrzUrqU0DgFdmpGeaKQi8t+Ybu+Q0i//bsijOOuHWcC934h+mL9gfjuA+28CuK9SjzrnBgHchQVv+NiVJrnRrzbwZskvwnCPFob7cmG4n+cUqFi0chFS+qUgMyFTGIvfKI1aAuFcmB988MF47733VLPeAu5sY+nSparoHJk1XBRS65yHMTfccIN6Bg9ECMaTBU+tX85FatfaZw4Y78n0S81wN/dbwSJ4F77+O7aX1CJaWDd3TB+LkycMMNeIB1frxamj07oqENIV4wzTvcl2HthzIBKiHA9dPYkz1jOiXcC9ubEtFgQScGccZL8YI62tQepaNIkczSI5RD1K2OpmAHe2w+KfZPlRR51xn8A4Ne1pTgH3RV9i/JDe+G7ZJkw57pR2AXe2QdCdhVp5AMyaIWS8M64YdWCYTUdNWx62M67x2a4Y7mxvY8FGbBN94+bUZhwx1LHQqQefw4DesksOzcs//AhxorOf9eorPpGB+XlTkcSRZSivtSAjKUYV5R6bGZjD246cp2ONrYd0nAmd/UxOeQ6qLdXol9APKTEpDlOdeynW/bA3Y/9ixBHrvQrXyfPmzVPEJdayYCYVpT4pE2pYveyTmuXwMzKhByKiGgRwny4M9ysDwnB3ez9jp+FuxB2+g72kDP+NGvGm9jPvvoXp+w9Hzo5cDN7v2HYBd7ZvZj+T2qs3rrj233jqwVbykDMCUWVDJXKKc3wiX7btvDmoloPsvrfcjBSp96HN9x7Qccb3PtUttnpAA+56JnQbD3RVwN2oet5tBrITv2hedR4oU+CKyYImAVnyWwF3ZIwnEtH2Njw0IDBBxkq7ZqkDCtfKvZLynbGX00u3VWwDF3oZCRlIjUntxB5z7JoG3D0brrKaBlzx1gp8t1uP97SJA3Dr8WP8Kg2gF6eOY9VVgZCuFmeoqbu2WL6jYiNSRiAyPHBSTOqhjfIdL+B3XNLSM8Z59kvvwV0sosrsNQIihhnSA/zvaNFED5ODd79bVT5QIbJysQJApQzy++PsH7C1eCs2ZW9CTkQOztv7vIA/39sHWkSuaPPRx6BFwLb+Tz2JRCmo6wvbUlSN815eiuzCalVM9f6TxuG4cf180bRXbehYY+s+HWe8mk4BvXl9yXo0ygHr4KTBiIsMwLdV3q5FSFj166jf3ozopGaEhTcB6aOBiMBkrbi9n/H3SFgdbKOvxFlhpfvCmsSvLDjNjKCBklmaFBfltFlr+TLWC0mIc55N7U6fCqQwePHTzyBJJF373XWnO7foa0x6QMcZkw7Tl7vtAQ24u+0qfWGoe0AD7qE+gp2//7uqdqG0rhS943ojPa5VX97GmiwCuItuL63f3m0/IjOcrLwff/wRAwZ0wExurBegZk27QA11A6kb6UwqobN7UQPuno9Qsyz+n/h2Ex7+vw1UGxBpmZ546ox9MDAt3vNG27lTL04dnaOBEL9MPzZL9gAAIABJREFUNZ83WieA9+ayzQgTwHtU6iifMIRNdbK+CijeCITLRr1PYNLDmbXGTIV1AsRYy6jVC+O9WSQNwpOSENVR/DH1ku1cXFMs+rfbANHPR69hvmrV7XZyy3KxZuMaLKpdhFsPvtXt+zrThQUPPoTi+fMRJRr6Qz76UOn7+sLIcL/8zeVth7cX/X0o5h05EuFhfxEEfPEcM23oWGPrLR1nzMye4F1LoJ2AO41xJjwsMLURmmtqUC/ZRj0k6zm6Z10rt6evSE+FtWYB+9NM7Wf82RG2bSXdhnSJsxHOgXFPupFXXoeCyjpFahmenuB0DWEtX5Y1KAvDew/35FHqnspvvsGOiy5G9PDhGPLxRx63o2907QEdZ/Ts8JcHNODuL8/qdjudBzTg3umGpMt1aGflTpTVl7kGug2wHLL67ScMd0+ssUEA9z/lTtdtGMA/QX+C/6FkGnD3frQWbSwUwGQFSqobkBgToViKU8c6aod6+yS9OHX0oAZCvJ1VgbmfB5I8mGQhuyFJQwLzUOun1JYBpVsAMh57B09DvEmA9gYB3InIcCMfJprBAbG6CqBkswAgscK8HBWQR1o/pLiiGCvWr8Br+a/hxWkvBvz5vnhgk8hFsJBeU2mpz2UGyNy874t1ePaHbNXVKSN745HT9kZSrG9AfbPvr2ONrcd0nDE7g4JzPaVkKCkTGRaJEakjAtYJi9TqapTaSeGJCYiKLG3dLzCTyiqrNmCdCfaDdhcnRy/xf5TvyCcsOL2eLHcB9UlqcfVtNOTLWlJbcPjQwz32RqOM6caDDlZjOGLpEoS7qD3m8QP0jar+S5IQD0hOoASrNu0BX3lAA+6+8mQ3aufJJ59UhamozTxu3Dg8/vjjbYVcnLnhnXfeUZrN1KEbLhs6FtY65phj2i6lJhs1vVngirrf1kUajYsMvTpqgVvr1VET2l3rioC7u++urwuMB4wifCyMRFkZB/OFjIA1S95OlsZ4nlGkiYUAyXIPJdOAu29GK7e8FpcsXI7ft3KzBcw+cBCuP3o0okTj3Vfmz8VpV4sz9Lme276aed63k1+Tj6KaIqWpS23dgFt1EVC+XTRcRCM7LQiAv7ww2XcNwoKkpExEaioipRB5wKyhBigS5qcAUeg7NmCPNR5UWV2JJWuW4P7N9+Ojkz9CFDMNQtBKXnsd+VIXJVzGb+j/vvQ5CPPB8p249r0/VFHuwb3i8dxZ+2J4H8lKCLDpWGPr8K4IuAd4SgXkcSyWyvU4a4SwVkigzMhaikxPQ0RjXtC+s4F633afU7BOJNxqgdShQIxvQdQ8WWcXVNbLwX04hrlguRvyZdsitmH23rO9csmmww6HRWqxZb34AuL339+rtvTNjh7wZ5zR/u7eHtCAe/cef9Nvz+rps2bNUgD5fvvth0ceeQQE1NevX4/0dEcJDVZMZ5HGu+++G9OmTVOFPQm4L1u2DGPHtm6yXn31VVUksZ9s9lgAyxngzgKZn376qdK35unjJZdcIlJsYfhJCoi4axpwd9dT+jpPPbC1YiuqGqpcFkeCG/rrHT7bRgeejBVHADW/WsCk2iKkxqYiIz6jwyatL2hqakJubi5iYmKQmJiIKGE8GgV4TTXk4cUalPTQcU5uswgD5/4v1+O53SzFcf2T8MTp+2CAaE76wvy1OO2KcYb+1nPbF7PON20YdS5cHo765jGuW6kUEKQyF4iTg9nkLH8/zWn7TcLmapAC6dS1jREyhK8kSdx6GetMrSAwL2vlkOHXP3/F3RvvxuNHPY6RqcHLMnDLXy4uarFYkD3tODRIgcS0C85HuhTv87WxKPf5r/6OnWW1iI8Kx4OnMGPK3LrC2z7pWGPrQQ24ezujAnN/blUuSupKXNd18kM3qNtet1ZAZqlTEp3VF2FVcrAbpEwiP7ye+SaLNwH1la1xlvHWh0aWO7Xcm9thuRvyZT/W/ohbDr7Fq6fvnDsPFZ99ht6XX4Zegoto860H/BVnfNtL3VooekAD7qE4akHsM0H2iRMn4oknnlC9aJbATs3pSy+9FNddd51Dz0499VRUV1fjk08+afvZ5MmTwQJsBO2tzajEbg+4M7Wnd+/eCqw/6aST1C3UIB09ejR++eUXsD13TAPu7nhJX+ONB7aUb0GNpQb9E/sjicxFe5OfoZCsPtFRpJ6iJ9YsxY/y/mi9s68UTXWiCVlYU4iCmgKP2JvMMskW1qNhkaILy9Q6gu8pKSkIF01If5oGJX3v3f9bk49576wEtXkpMXPvjL1wzJ7eAyb+Wpx2xTjDUdVz2/dz29MWN5ZuBAuakXVI9mHArXwHUF0IJEgGUs8AMst3vyjZ7fWbNqmimxGyvoo0kS3oE1/J2hF5K3fHscBoC1v3m7+LS9csxe3rb8cV+12BY4b8lXXpk/cLYCMVX32FnZdehh7R0Rj65ReI7Ot7+bDiqnqVMfVLtmjvi10ouu5XBVDXXcca2wmlAfcA/oJ58ShjT5CZkInkmGQvWnL/1ibZczcIia1HeASiB/ZGD9bKiJaslLTA18pwv9d+vLI0B6iVTE/GWcZbH5vBcnel5W7Ily3MX4gF0xZ49fSSV15F/l13If6Qg5H17LNetaVvdvSAv+KM9rX2gAbc9Rxw2wMNDQ2Ii4vDu+++i+nTp7fdx2rkZWVl+PDDDx3aysrKwty5c3GFFevmlltuwQcffICVK3dvtnbf5Qpw/0YKhRx22GEoFZ3K5OS/FiwDBw5U7V555ZVO34HSM/xjGD+kPByw1+bSIIjbU0Bf2IEHWISPxfiyemYhkcXg7K2hWtLoN3iX3imsFeS2D1QU1xYjrzpPgf4E/83YVmHKFRUVKbkBw8hw539nZGQgMzPTTHOmr9W/j6Zd5tYNO0prcNkby7Fsm2hHi52xXxb+PW0PVfDJU/PH4rSrxhn6WM9tT2eab+9rlm/o2uK1qtERKSMQGR4EXeqSHJkQBAHke5rgpMC2b1/ZobVGWbNZduxoLao3YoT6O+DGOMZ41nu0aNnHBPTx/F1cvm45bll7C6aNnIbL9rksoM/35cMYm7eecSZqJXM06YQT0O/uu3zZfFtbZHPe8/k6PP+j1B4Q+9uwXnhs5t5Ijfe/HE93jzXu7md0nPHL1Pe40XUl69AkJJkhyUMQS5Z5AMxSUIBG+aOKYKfI72bFLiA2BUgZFICnd8JHGIfb8RJnk3y/f7HWcs+S7NHkONvvoSFf9sDmB5R8mTfrjdpVq5Bz8ilqbIf/+ktAs4874cj6vEv+iDM+76RuMCQ9oAH3kBy24HR6165dCmyjTMz+Vtph11xzDb7//nssXrzYoWOUo3j55Zcxc+bMtp899dRTuO2225AvBV2szRXgTmb77NmzbcBz3jdp0iRMmTJFSdQ4s1tvvVU9x9404B6c+dMdnrqpdBPqm+oxqOcgSb12UpzHANypF9tnjGcuIRCeu6L13j4iy+QELGIKK1NZCfoT/Ddjq2RBZ31QZX3vkCFDkCpasf40DUr6z7uUmHnwfxvwzPdSrFBspGjxPn763hjhoSavPxanXTXO0N96bvtvbptpuVb0XLPLshHeI1xJiQRSMqutn0UbAZEfQ7Lo+sb595tq7xtKDtRvFHa7pQERwmyPFIZ7UCxfin9LlgHShgsDM7BZBvxdXLVhFW7880aM7jMajx76aFBc4KuH1gqBJefU01RBvcHv/xcxo/xXiPajlbtw7bt/oNbShH5JMXjqzH0xfoB/2bvdPda4u5/RccZXv1Het9PY3Ij1JZLRKjY6bTTCnMg/ev8Uxxbqhd3eLCx31uSICBft8uoCwE9gsz/67/M2Dfk2kdhEin909PMr6sA/0RHhsp5OsFlTWMuXPTn1SQxPkXjnobUI8XH9xEkqM22ISMtEDxnsYUv6Nmce8Eec0Z7WHqAHNOCu54HbHgg1IMRdRogGQdyeAvrCDjywoWQDLM0WDE4ajLhIJzrZ1BGknmBENJC+h+f+3LW89V6C9k6KvZXVl2Fn5U7ER8ZjUNIgt59jET1Y+8wT65tZJJkSM/40/fvoT++2tv39hkLMe3sFiqoahOEehpunjcHMSQNMA4/+WJx21ThDv+u57f+57c4TjO8jv9H8VgfFCoRhzyLafijk1tH7NBYXwyJ1OnpEiOQA2e2i4R4UK5RsL4tkfaXIGMT6F7C1fz/+Lq7btA7XrLoGUTFR+OSEv2QPg+ILHzx0h2R7Vn7+BeIP2B8DFiww/T0304X1olt84Wu/I7tIgL3wHrj5uDE4U7Km/HV41d1jjbv7GR1nzMxi/17Lek6s68SCzN6ArGZ62arfLrFFiDnRUpcjrEZqhUjhViSKhGCi76WmzPQtaNdWiwxWOWV1pGBqmhRO9YM1id+p5d7U3IIBKXFIscr6sZYvmzt5LqYOnupVD3KYzfT778iQ2njJJ/ylNuBVo/pm5QF/xBntWu0BekAD7noeuO2BUEv1t38xreHu9lDrCz30gJE+OjR5KGIinKTI11UAJcIu5s/SJY3eU9tFhrsw3QnaE7y3s4r6Cmyv3I7YyFgMSRri9lPs9dutb2QRVaPQsdsNenChBiU9cJoHtxRU1gnovhKLNhbJPAnHN1cdgowkcynP/licdtU4wyHSc9uDieqHW4yi0ikxKarAdVAsb5UUwWkEekmxzijfFDF25z1apCh2/caNaGlsRKRIhEWk+baInDt9aLumWGqF1JdLmv8AYWD2MnWrtxfzd3HT5k2Y+8dc5FvyseSMJYgOd4yl3j4nkPc3bN+OzcccK4cYFgyY/xwSDjrIr4+vrLPg6nf+wBd/5gmzMwz/N/cQnxXkdnf97s0LhnKs0Rru3ox8YO41pB09yTT1tIdNVVVoyMlpPUwdKdlbJfzGyr4jSTJd44P4rff0hXxxX53EGPqBJKje/iuOzTV1XnkdouRbyOxR4/DRWr7s+FHH45K9L/HqrfLvux8lL7yAZKmRl3HbrV61pW+29YA/9jTax9oD9IAG3PU8MOUBFrOjlMvjjz+u7mPRVOq0X3LJJS6LptbU1ODjjz9ue84BBxyAvfbay3TR1DfeeAMzZsxQ7axfvx6jJGVWF001NXxBv5gLkPfff9+mBoAnnRo0aJDS77euDeBJO76+h7rA1Acmm4WsFgczAHcBwtHbi5RvQ/uWoL0TYN9g1hD0J/jvrjnTb1eBQsaNhYv5u+5v06Ckvz38V/vNwsZ5/sds0eCNxkn7mtP6Zyv+Wpx2xThDf+m5HZi53VGc2VaxDZUNlegb3xdpsa5BCL/FGRtZMOdZSv7ylKWwEI0i59cjMkoYkMOCx27nC7KYX42wD4PAvjR+F29ccyM2Vm3EO8e9g1GpXsRkfw2YyXbz774HJSLjSHbr4A/e97s2P/Xj5y/yPIa4+3o61th6SgPu7s4c/13XUZz5f/auAyyqo2u/dJEmiliwYkvssdfYey8x9kSjRmPvMdZYYjdGY4nGXrH3jp+9t9hFQEQEFKSIgFS/MxdRVhbYdvfe3Z3zP3n+5OPOzJl3Zufce+ac9wS+C0Q41elwsXVBHruMi3Xq0s4k0NmeSGe8hVMOWBekd7oQorRJiKFMKgq8yeYkHhhy7lkXVJ4qzI9FtwdGxMLF3ga21p9roqSlLyuTtwz+bPCnCr1l/MjbEyfwcthw4ULFff8+rfrijVU/VzlWHAFtEOAOd23QM8G2Hh4eYEVS/6Hq2MzxvnjxYuzYsQOPHz9GHuIC7d27t8DzPptSnZgwvvd69ephzpw5aNWqFbZv344/qML2LSrulBoty6Jq/f39wagEUp8pRYYkb968wj9MBg0ahCPEV7Z+/Xo4Ojpi6NChn/pXdRmMOcI9ODgYs2bNwuHDh/Hy5Uu4urqiYsWKgkOaFZyVi2T1gvqlnmy92RxYUd60EkIvlHZ2dkIRX7kI+/B8+OahoE7JnFSIz1wJ9UoszSOcCo5pG2kRdJcC3JNSnPbMef+FRFOavl+kn9qprJnxtxcrVgzOzlR4SWThTkmRAdZh92I5QYzRzjDYDX1vG4udeRr+FPHEHZ5aa0PvdiaJIttfUYQ7k3wV6EZTP5QuLKpdiG6nKHerAgVgmaYIvQ6PBdW7YsX83lEtHxbdzqLc9Sipv8V/XvwDzyBPzK47G63dW+tRA3GGSqJ3Je9mzZEcGYm8VMPI+fsu4gyk5165rVEE3Jgd7sZiZ55FPkMMObvdHNyQwyaH8P0q9vdMnK8vkinITeBvZ/WWUutkuJSkTColdaX0/DuWZLjEOOA1+zYzA/JX1LsKaenLbLLZ4GCHzwGImijDiuJ6f1sPICq4kteuwcLeRNdVE/CyaCOWnRFBVd6lgSHAHe4GtmByUPfvv//G/PnzwV6KmFN3yZIlYBGJTOrXrw92W89eLFJl586dmDRpElhR1BIUdTNv3jy0bNny09/Zs6wo6pcydepUsEJBTJjBGj16NFiUO+MybNasGVjx1VSHvCq4GKvDneFau3Zt5KCP5+nTp6NcuXKUUZyA48ePY9WqVcJliFxEVw53ucwnrR5JyUlglDJMWKSchfnnCIdPz8WGk8PdL+XFl70AayqpdAQsPVIJV3xqUUBLc0uhKKAqIgf+9tTf+jMq+lS0aFEwGhsu8kVAzJdTY7Mzhr63jcXOsAwklonEpKQzXYxS0emMHCGi/fISiLs9hHSgoq3IV160Yb7sOCGYoh9DQ2BuYwPr4hTdTplLkso7Kub39iVFXtJFbs4ielUl1eF+OOIwNnhtwM/lf9Y61V+vE8hkMBbhziLdLYguqNjxY+SQ0W9BWjFw4LZGEVVjdbgbi51hq5VKMemewx22lrai2xl2kfqefe8x/naqzWFuTVm2n7JhldNPivFblV2f9G2GYApSYpKX7K2ybzMRlU5LXxaSEILrPa+DfZtpI94NGyGBghQLrV8Huxo1tOmKt02DgJh2hgNt2ghwh7tpr79Jzd5YHe7s8uLu3bsCzQ6L+k4rLDKcOeJZBgHLCvD09KRLcXM0b95coAViWQlM2MXGvn37hEuNyZMnIzw8HC1atMDq1avh4OAgOO7ZMwEBAUL7VGnXrh1y0UfdWuKTY7JixQosWLAAL4hLlDlM2UVLr169Pj2f1uF+5swZNGjQQBiL6cjkzp07+Oabb8AcruzFm/09raRewnyZgqnt/HTxQ0gkPt4nYZS+SVI6V2nlzowYKl4U8Zwc7vQB7KJ5pXoE3yc+p4QUp72SqJU4iujwjvCGOUVOfp1LNa54OfC3M+wMPQpYF3vJUPrgL6fpV8pYHSHGYmfY2Xjo/CF0btgZvhQNyGi09G5n9JTinnZ3fqBL+PcU3U48gLAmajALyhSUXBidDKOVsXGgYnbF9apOqp25nXAbs2/PRosiLTCv3jy96iDWYB/i4+Hbpi3iaW/n6t8PrvReZ+jCbY3iCnI7I+/vGRaAs+/sPsHOsFoRL/xfiG5nVi5aBBvKGDezskI2yhIHXS4LDncmecuRo1k7J6/BniEChRvDgdW9Igo3SyV0nyJOjtka32e+GHtvLPxj/XG4w2EUctSOnvPlqFF4e+Qoco8YDpeBA0XU3rS65nbGtNZbn7PlDnd9os3HkhQBdRzujB7kQ2ysJPqa2dqqHHnGnKQuLi4CncyECROU6st49itXrgx7inJiFECJlFY+ePBg4b+Z05sJc6YvXLgQTZs2xe+Uhsyc4F26dEHfvn2Fvtl/s2wCRuuTSlHDxs5HRddS/zfGzf49FXFhYzRu3BiHDh3CuHHjcPLkyU8vmuo43PNTSiRz4E+ZMkW4TGDCdGb/pHW462J+ulhoRlHAqArYHJnDXanoysGQmiaai5z2Numj1xKSEuAV7kUJlKSLSwa6fKGgHPjbmUrc4a6L3aifPvjLaXqc1XGEcDujfzvDuNtPXDwhOELYxa4kduZTETcta3mo8TNn0XCJZLPNbbPD2r2oyu8Yagyh/qN6KmanTLFUOxNsE4xh54cJNtujtYf6c5Bpi6jTpxHwy2DB+eZ+9AisiULIkIXbGsXVU8fOsJZS2RpT/Z6JTYjFkQtH9GpnfqBvtqn9+8OCApiE3zt9B+AVBecwyUdUKlJnNEl5AGWRFSymaqm2ZqHvQlwNvYrljZajbgHtClqHbdyIV3/Mhj1R9hb8Z6WY6ptU39zOmNRy63Wy3OGuV7j5YFIioI7DnXHgPalUWRJ1S926CXMVucmvEX8bo/PZs2cPOnTooFRf5vBm0erMuVCwYApP6sOHD1GmTBmw9lWrVhUc7qk0QSyinQlzlp87dw5XrlwR/rt9+/ZCNPuaNWuE/2ZR78w5z6LZWdQ7o7VhfbL/PVWY0z46OlrglmeijsM9lZpIGedhWoe7ruan7WK/T3wPnwgfgUomw+Jr0aFA5AtyklN0YS7Vi5mm043xETJeQhYVyKIDv5C00fYswp1FumclcuBvZzpyh3tWKyWfv/OX0/RroY4jhNsZ/duZ0NhQnL1y9pMjRBI7o6uLVxWPgmSKeGbc7YxqwJoo/2RDMRL3DnhDerEC43ko8lCPkmpnzHOao/OxzrC3sselbpfkcRGhAxyYg9WfAiZiLl+BA2U0FlisXaE+HaikVRfc1ijCp46dYS2lsjWm+j0TERcBz0ueerUzZ6mY5pnNm2FFddQsWb0lcvojhChmWGQ7i3A3ZXlNFG70jZbRN5OY0KTamu2vt2OP3x6MrzoePUv31GrIWMpq9+vyvXC5UuKy8dgtrUDRQWNuZ3QAIu9CKQLc4c43hskgYIwO96tXr6IG8bdl5nBnHPt//vmn4HBPK6wA5l9//SUUumUOd8a1/+DBg0+PsDaMdoal3TNhf+9P0ROvXr2CDXHAsmK4VapUESLjmeSkAj2sDSuqmyqsf/ZPah9iONx1NT9tfwgsosU30lcolsqKpiqV6BByuAcQZ60TAeau+ZCpL485yWmfLT01QFqe4gz55NOMLhf+dqYSd7hrvi303ZK/nKZHXB1HiFROEKa1Oo4QY7Izge8Ccfn6ZbUdITq1M3rmLo+nQupJlKVmTpRzNkT1JhuRiMs+rZ1xK+SGOrvqENnAB5zpcga5bHPJBh5tFXlPmYHPOnQUaIQKb96E7PS+ZqjCbY3iyqljZ1hLqWyNqdqZ1zGvcf7qeb3ZmUX0HbaUvr8eHjv2mb/904WmDV1oqpbpaqjnQ5Z6h3oBjMrNuQhgS5cRepTUb5qzMWex7P4ydC3VFRNrTNRKA0Yb9qRKVbD/zzKYZGXXtZqZtI25nZEWf2MenTvcjXl1+dwUEFDH4S5V+iVTWNcpmKo6ChiHO+NQTxVGDcP+YVzqqR+ojPN93bp1QlR84cKFcePGDVSqVEn4u7oOdxY9z5z2jJqGOf+ZXL9+HdWqVRMuB1SNPNTV/LT9uUQnRMMv0g/WFK1XwjkDfvZPjhbirM+pheODRa2w6BXmtGfO+y+E7d+HbygKniS1MGBm85MLf3vqPuNFU7Xdjfppz19O0+OsjiOE2xkINkafdoad0VeuXUG3pt2kszNvA4F3r4DsLkCOlKwzsUQhur2oOyzssos1lPr9Skh5kPZit+2htgiKDsLGFhvxjes36s9Dxi2CJk9BBAVLZKPswyI7d8AsTQ0eGaudTjVuaxQhUcfOsJZS2RpT/Z4JiArAhSsX9GZnFs2Zg78oQOrJ//6HbFQwVZDYCCCcAq2sqLZX7gyCgAzpENBG1zcUOBYXCTiRvbUju6tHSbU1T82eYuLViaiVvxb+afKP1hr4deuO2Nu3kW/ObOSgDHQu2iPA7Yz2GPIelCPAHe58Z5gMAuo43A0JFEYXw+hAMiqaypzYGVHKsL+xKPXUoqmZOdwZJn369AHDkdHYMMf7o0eUpvdRMqKUiSF6HsbnziRthDtrW7p0aSGqnv1/JqxI64ABAz45QrZu3Yqff/4ZUVFRCkuiKqWMuvPTZt0ZN7D/W39ks8yGYjkyoIthThbmbLHNSZEWhTUfLoQ47RNiqA9y2tumFJz9Uh69eQQW6V7cuThsLCjCJRORC387U5FHuGu+LfTdkr+cpkdcXUeIvtdM0/GMxc54hXlh24ZtmDZqmnR2JoJoxWKIXsw+L+CYT9MlUaldPBU6T6Li6eZU+8SG6GRkJUIxu4+X/HnKErWMld7US2tnhpwbgqtBVzGj9gy0L25cjovE0FD4NGuOZKL2M2THDLc1ij8NbmfSU2Sq+74v5veMb4QvNq3bpDc7s3D6dCz55x88JZpQa6KUEURXFJZ6O5VFHCj8OV1AhAEOZG8dyO7qUVJtTbR9NPqc7gM3ezcc63RMaw1ezZ2HMPoOz0G10/L9Pk3r/ngH9HlO/g0nJydERkbCUQ6F5fmiGA0C3OFuNEvJJ5IVAsbqcGd0LczZzSLMp9NLV/ny5YXCqIzbnBUdZXztLAqdcbOnFk395Zdf0hVNzSrCneF76tQptG7dWog+79mzJyZNmvQJdtaecbYzChlWNPXgwYMCDzxrU79+feG5tA53RmNSrFgxgRKHFWb18vLC6NGjhYuD1Aj3S5cuCXNjfVSoUAHZidue/ZPW4c4id3Q1v6z2UGZ/j6ToCRbVkt0qO4o6ZRC9HhUMRAVRZCM53HNo4XBXIT3ySdgTMC539xzusLWk4nyZiFz425mK3OGuzS7Ub1v+cpoeb2N1hBiDnZkxcwY8b3hiwdQFeOb9TDo7E0ZRh+8p+tCRHCP2rqL9aJPj4lK420ls3N1Vrg0jmkLKOg66S+G3SRSB+TVFYmbT29Bp7cz82/Oxw2sH+pfrj2GVhulNB30NFEqBDCELF8HS1RXFjh2V5z7IAgxuaxQB4nZG3t8zzM7MmzJPb3ZmwcSJWLp+PXwogMmSeL0FiaIAnygdBPjo66ASc5zIl3QB8Zqi28neOn28kBBzvDR9p9oap7xOaHagmVBT60aPG7DS8oL5LX3jvxw6DDYlisOdvre5aI8AtzPaY8h7UI4Ad7jznWFanYgIAAAgAElEQVQyCBirw50tYFBQkOC0ZpHk7N9z586NypUrY+TIkYKz29/fH0OHDoWnp6dQ4LQ5FdFi/OyMIoaJqhHuycQFWqBAAWEMHx8fuNNHfFphDv4FCxYIhVSLElcsc8j36tXr0yNpHe7sf7x48SIGDRqEp+QUYDQ1w4YNw3fffffJEcKeYX9n/PFv3rzB1KlTBV3TOtzZM7qanzY/hghyoLx89xL21vYo7JiBM50525nTPTvxxOYopPlwoeREiaeCc8xpz5z3SuRp+FPEJ8ULzn92CZCRyIm/nenIHe6abwt9t+Qvp+kRN1ZHiLHYmTIVy6DngJ4Y2XekdHYm1JvOb8rayuT81sVvOTW63YIu262JAk6W8orqxpCdQi6iYbOx15uKae2Mh48HFtxYgKaFm2Jh/ZSaNMYk7OLFt2UrJBCXv8vgwcg9dIjBTY/bGsUl43ZG3t8zzM706N8Do34aJbqd+UABVszh/jcVTGUUoGZWHzOF3pKTmdFY2uUmJ3MBg/vN61Th1GAnbbOLNVAq1daw79b6e+ojJjEG+9vvh7uTFnW8SI9E+iZ+WruOoFHJK5eFAqpctEOA2xnt8OOtM0aAO9z57jAZBIzZ4W4yiyjjiYZRuiLjgXW0dkRBxwx4eVO5e7V9AX5DDps45rAhpz1z3isR7whvxCXGCc5/dgmQkciJv53pyB3uMt7kX6jGX07Tr5UxO0IMZ2cq1/Rt3Fu8iHqROe2XPiaZRQ0OXaiQ/P494rzJTpDYUCaZuW3mWU66GFOjPlLp0TKoR6JRnyo0SmtnroRcwdDTQ8EKjO9ss1OF1ob3yFsqpvhyxEiYZSPKO4pyt8qrX1oFbRHjtkYRQW5ntN1R4rWPIbrHZ5HPYGluiVI5S4k30Meek4gGI56CqsxsbJCtRJr6URH+RF32RhIaFdEnre4An+h1qOZVLu0c3eoOndbW9DrZC4/DHmNpw6WoX7C+ul2le96nRUvEU82zAsuXw6FhA637M/UOuJ0x9R0g3vy5w108bHnPMkOAO9xltiBGpk5obCheRb+Ck40TCjhkEE3yKeJEy7TGNz7kcH+baQEg30hfxFJh1YIOBeFo45gh2nLib2dKcoe74fww+Mtp+rXijhD57l+Vzmh9qJ8a1e1CheysqaCdCBJPWWZJxENqQTyk1oW0yKYSQTeFLlW4PBZDhbR2JjAuEO32tROo1652vypQ3xmbMOq95z17IfbmTTi2bQO3efMMaorc1iguF7cz8t2+qdmudlSstIhTEdEVTQgMQmLYG1gSrahV/vyfxwujQqHvWaFQ+h5hQT6mLLHhVEDWL8XeMrurR0lrayZemYgTz09gTJUx+KHMD1prETR5MhXF3oWcP/VFnrFjte7P1DvgdsbUd4B48+cOd/Gw5T3LDAHucJfZghiZOq9jXiMkJgTO2ZyR3z7NS2/aeUYGEI9gSApvL+Pv1VRUeJH2i/RDdEI03BzckMMm41RDOfG3Mzi4w13TTaH/dvzlND3m3BGi/32o6oiB7wIR/j4cubPnhmt28bjTs9Qn6D/iLU8GXIm3nIps61oUotuLF4c5RTXLVsLICUJrIjaf/ZfzT2tnLKwsUGVLFaHI+OnvTgv7wxgl9t59+BFlH5MiOzxgS/V+DEW4rVFcKW5n5LtzVfoW0KH6rE4Ho42yLlgQFlTw8ZOkUk86FwFsnXU4ogF2xTKC2eUus7fM7upR0tqaVQ9XYfW91ehSsgsm15ystRYRe/chaMIE2FasiCLbt2ndn6l3wO2Mqe8A8ebPHe7iYct7lhkC3OEuswUxMnWCo4PxJvYNctnmQl67DNK1I15QimcoOdzp7475NEdABSeF/1t/RBFPcD77fMiZTTnPe3x8PO7epaJ1GUhFeomztLTUXE8NWnKHuwagSdSEv5ymB547QiTajCoM++kS0p4uIbNJxHfKHO3M4c4kTznAQvfnK6MXYDQDFo5OFN2eAb2ZCnjp5ZFPNpHqyThmcFEtgiJf2pnmu5sLNVjWNVuHKnmriDCiPLoMHP8rIvfvh22lSii8ZbPBRPNzW6O4f7idkcfvSZkWAVEBiIyLRB67PHCxdRFVUcbf/v7xY2GMbF99BbO07+uvHxHR93sgZzH6Y8ZZrqIqKJfOieYHjL6MaH6Ql+yuHiWtrTkWcAyTL05G9XzV8W/Tf7XWgmWy+TRpSgXHrVDq+jV5X65rPVvxO+B2RnyMTXUE7nA31ZU3wXlzh7sJLroepxz0Lghh78Myj57UFadi+HOAOOMFB4V9SuHbLyX1pZ85/9klgDKRG38705E73PW4abUcir+cpgeQO0K03FQiNn8S9gSJyYlZFpIWUQUqEJoAvLqfMkS+iiCPp06HS46NRRwVNGdiI/fodqbkWyok/o4VEifHVA79XQ58aWd+PvkzLgVewu+1fkfHEh11uiZy6izh1Sv4NG+BD7RP3P5cBMcWLeSkXoa6cFujCA23M/Ldtj4RPnhPju6s6Bx1MQNGG8acriyLiZ33ChJMdiaZ7I0L8chbZ9fFcIbbRyIV5n5NBbpB9jZfBZ3b3cyASWtrHr99jF5HewlBWSc7n9QaT0YV5l2vPhJfv0ahDRtgV72a1n2acgfczpjy6os7d+5wFxdf3ruMEOAOdxkthhGq8jLqJSLiIgSqggxT0lMd5Q4U3e6gRdGyCHK4x5DDPZN+WLQe45LMTB+58bezbcEd7obz4+Avp+nXijtC5Ll/GV3IozcU8UfCCtmxgnaSSAJFHIaQHmYW9OGve0qP+OfPkRQVJVALMIoB2cu71+R0f0kRmJRxkLOo3tT90s7MujIL259sR9+yfTGy8ki96SHFQCF/L0Po338LfM/uR4/AnIotyl24rVFcIW5n5LljmQOUFcVk9qZYjmJCgW4xJT4wEElhYbDMlQtW+dJkzZIeKZlU9P9dSxOVivx/42LihOQkIPhjNm9esrvmZH/1JGltTQxiUM+jnjDy9R7XdbI/AkaORNTRY8g9fBhcBg3S06yMcxhuZ4xzXeUwK+5wl8MqcB30gkBWDvfChQsje3YTjwLQy0oY5yAvol7gLRUyzSyiXCjaw4r3MP52xuOuqaSm4TOnPXO6K5HUiHuW0spSW5WJ3PjbmY4xMTFgFwFFixZFNjlzD2u6dkbUjr+cpl9MVRwh3Nbo/0fAIg5Z5KEFObq/yvWV/hVIHTHuHXHJPiUqGXKA5CFHiA4lOYai230/RreXKGEQjlTh4phdIFs7UCTmFxGaOsTmy65iKcLbz8/vk53Z/HAz5l6fi8aFGuPPBn+KOLL0XSeTjfVp0RKJFO2ee8RwuAwcKL1SWWjAbY0iQNzOyHPLJlBEuVeYl6Dc17m+hrmZuaiKvvfywgeihmSFsVmB7E8ioYNZ1Alr03ngHWqt/wuItN80NnS5WXtbbUQlRGFP2z0o4VxCmxkJbcM2b8GrmTNhV7s2Cq3RnqZGa4UMuANuZwx48WSuOne4y3yBuHq6QyCjgzQ5ORlPqeiMhYUFcufODWtra4PhtdQdOrwnbRFgBflYkVIWUe5kk6ZwUdqOI6hoavxbgDnA7ZTTvKikRxSl4TPHPUvDz8BxH0pc8eFx4ULBVGUR94y/3Yte1jOSr4gPUp/87SwyiOkUEhKCpKQklGAOI3NxP1ZUwpo/lCEC/OU0PTSZYcJtjXQ/pnfx7xAUHQQbcnQXciwknSKseFsk1fKwtNV5RHf8y5dIjo6GOTlerPNqkUGlT3Q+4UGRoDnd9TIyszXMzjBHCLMz7N3v7IuzGHJ6CL7K+RV2ttmpFz2kHCTy4CEEjh0LM1tbFDtyWDE6VkrFMhib2xpFYLidkeEmJZViE2IR8C4AlmaWKJpD3Iyd5IQExD97JgBhU6wYJU2lidpmFCphVCSUSW4qEqpj6jJ5op+FViH0vfMhkajLaF2syf6KLBl903Q52AWPwh5hSYMlaFCogdZaMA7/Z+07wJwCBkteu6rI469176bVAbczprXe+pwtd7jrE20+lqQIZHaQMkdfUFCQ8AHGhSOgCQKsYGpcUhycsznDljlTlEk0FUxlxXtsnekNmSL6NBXmbGeOClYIKYPif6xgKvvHzspO6QVANDlmQkNJHyViRQV48lO6uRTCskzyUWosu/jiIm8E+Mtp+vXJChNua6TZ0+wylBWyYyn+GRWR1otm8dGUxvOGHO7kYNYmy+kLZVmUY+LH89zS1dVwProT44jD/RWl+FtpV0hczcUzIwdUgQIFYG9vL7T0CvdCpwOdBFt5oesFNXszvMeZM+h5j56IvXULji1bwm3RQllPIqtzVdbKi6BcVnhwOyMC6Cp0GZsYi/D34bC2sBa9YCrLVEmKiIAZva9bUrCYgrBaISwwh1GXOVFGLZcUPBguzO6KTPWTFu4vv2lG/G8EPP09MaHaBHT/urvWK/OBApS8atREMlHJFdm9C7Zlymjdp6l2kNW5aqq48HlrjwB3uGuPIe/BQBDI6iBlHyCJVPGdRddy4Qioi8Cv537FwzcPMb7aeNR2q628+eExwLMzQP0JQNlO6g7x+fkLlPJ+ZwtQsRdQZ7jSfnZ67cSmB5vQqHAjDK+U/pkpU6Zgz549wp5PKyyqvXv37vjtt98010/DlizSkI3PnCFc5I9AVmeq/Gegew1VwYTbGt3jnlWPa++txT7vfWhbvC36leuX1ePi/f0/D+D8fKBYI6DFXJ2NEzR1GmKuXYNDo0ZwHTNaZ/2K3lEoRWFu75pycdzvlOjDpQ7ALpWZvUkVdjlda1st4T+vdr+K7FbGTy/4/uFDPOvUmaI+P6Dwpo3IXrWq3vBXdyBVzlV1+zTk51XBg9sZ/a/wHq89WP9gPeoVrIfRVcQ9h18vXoyo4yfg1KkTXPr9pDhZRp+yh+wco6/svV//QMhxxJ19qGD5PbK7zP5qH1muyhSVfdPMvTYXmx9tRp8yfTCqyihVusnyGf8BAxB97jzy/DYBOXv3zvJ5/oByBFQ5Vzl2HAFNEOAOd01Q420MEgF+kBrkshmM0l0PdcWDNw+wrNEyfFvgW+V6byXHgtdRoO1SoJIWL0UnpwIXFwM1hwDNZikda9PDTZh3fR5aFG2Bed/OS/eMu7s7nn1MR/3yj3v37kX79u0NBnuuqDQI8DM1Pe4cE2n2Ylajjj4zGieen8D4quPRs3TPrB4X7+/n6GP/9EzgG7osbfe3TsaJffAAfsxxShRc7ocPwYbqXxiMRBLN2p8Ukcci3CeHSEp9UGtrLYFbd3+7/XDPoR96G6nXiV3URHh4wKZUKRSl6EgzuvCWo/BzVXFVOB5y3KVAavFldqmrLNBFl1p7N26ChIAAFPxnJezrpRTi/CReJ4Ct3wGsQOjA87oc1nD72tQR8PEE2q+gYCXtI8s1BWLjg42Yf2M+mhVphgX1FmjajUK70H9WIeTPP+HQtCkKLPlLJ32aYif8XDXFVdfPnLnDXT8481FkgAA/SGWwCEasQof9HeAd4Y3VTVejRr4ayme6mZwi3ifJ0bKcHC49NEfDczpFSVIKeHUqdpZBlOSOJzsw48oMNCrUCIsbkHM+jQQGBsLNTXmaKYsuZ1QzOXPm1Fw/3tIkEOBnavpl5pjIc+t3P9wd90LvYXH9xULWj2RyYjJwaUmml6Xq6vZi8BC88/SEY5s2cJuf/nJV3f70+vx7qmkyp2DKkBODASvxuXUzml/HAx3xNPwpVjRegTpudfQKg1SDJYaHw6d5CyRHRiLv1Clw7tZNKlUyHZefq4rwcDxkuU0x1HMozgScweQak9GlVBfRlEygeh3ejRpT8W0LlLx6FRb2dopj3dsF7Kao9yJ1gR8PiaaHQXW880fgwV6gOWWW1ZCuUPSp56cw8sxIlM9dHltaUqayDiTm5k2BIszCxQUlzp/jWcIaYsrPVQ2B482yRIA73LOEiD9gLAjwg9RYVlKe82i1pxX8o/yxscVGfOP6jXIlN3WgCIvTQIdVQIXvNZ/I//4AztJLY9X+QCvlERKMPmHyxcmC44A5ENLKtm3bBNoYZVK6dGk8oIhJLhyBrBDgZ2p6hDgmWe0aaf7eYEcDhMaGYnvr7SiTS0KO04NE73VzPdGKEWVX/fFag/H+0SM860CRe3RRKkS3U+aSQQkVrcd0drn7ARhNRe0cqKC4RDLYczDOBZzDlJpT8F1Jig41EQnbsgWvZsyEhZMT3I8dhaUz1ZiRmfBzVXFBOB4y26Af1WF1IFg9iOWNlqNuAXJ2iyQRe/YiiGgfbStUQBGP7elHub4GOEx0JV+1Brrqxqkr0lT0122q7W0wEag3Tn/jfjHSg9AH6Hq4K3Lb5sbpLvQ9qANJjouDV5Wq+ECFdIvRGW5dpIgOejW9Lvi5anprrq8Zc4e7vpDm40iOAD9IJV8Co1ag8c7GeBXzCh6tPVA6V2nlc93QhjjczwGd6GW4HEW7aypnyNl+hpzulYmTsI1i9Hpql8eeHcPYc2NRLW81rGlG46WRAcT3t27dunT87YzXdvDgwfiTUhO5cASyQoCfqekR4phktWv0//f4pHhU3lxZGPjc9+eEwtaSCeORfbCHouzmUJTdIK3VCBg2HFEnThhE4csMJzu7EBUBjwSG3ABcSmiNiaYdzLwyEx5PPNC/XH8MqzRM024Mrt0HquPyrGMnxHl5wbl7N+Sl+i5yE36uKq4Ix0NuOzRFH1YHgtWD2Nt2L4o7FxdNycDxvyJy/37kond511Ej049zfhHg+TsF9lBgTQfFgBvRlJJ7xyJkl2ky5Texb1B/R32h6c2eN4UCu7oQP1YEmyLd882cgRydtfi+1IUyBtoHP1cNdOEMQG3ucDeAReIq6gYBfpDqBkfei3IEvt3+LcLjwrGv3T4Uy1FM+UPrWgHPLwCd11HRVIpK1FRSeYAZDzzjg1cip/1PY/j/hqNC7grY3HKzwhOZ8bfv27cP7dq101Qz3s6EEOBnavrF5pjI7wfg/9Yfrfa2QjaLbLjW45q06dabqVi2NxUH1ZZWjGB+/8QLz9hZzaLbD+yHTQnpnNVarfqfZYHIF1Q0laL9CqRcjEgha+6tweJbi9HavTVm150thQqSjRl99Rr8f/hBqANQdM9uZPvqK8l0UTYwP1cVUeF4yGp7Csq8i3+HmttqCv9+pfsV2Fl9QfOiI5VZMVzvBg2RGByMgmv+hX3t2ul7PjUNuECBM5nQTupIHcPpRoT6KZpMnq1f1S1VEZcUhyMdjqCg40dKNU06S9Pm9V9/4c2KlYZJLafl3HXVnJ+rukKS9/MlAtzhzveEySDAD1KTWWpJJlp9S3XEJMbgSEd6gXLI4AVqTTPgxRWgyyagdFvN9WQv0uyFuiLxwLcnPnglcvHlRQw8NRBf5/waO9rs+PQE52/XHHbeUhEBfqam3xEcE/n9Sq4GXUW/E/1Q1KkoDrQ/IK2C/xLvbsB14Hu6BP2aMp60kICRIxF19BgcmjdHgcUGnJW0vBbwmmjMelLkf3Hp+PWPPjuKcefGoXKeyljffL0WK2OYTVP3U/YqVVBo00ZpL6a+gJCfq9z2yv1Xxeo/sDoQjtaOuNjtomjqxj9/Dp9mzanehRVKXbsKc1sldS8OEZ3MDcps/ZaoUxoShQoX4CpReR4dS99edEndZaOkiLTZ2wZ+b/2wpukaVMtXTSe6RF+5Av8f+8DS1RXFz56R1fmtkwnqoRNuZ/QAsokOwR3uJrrwpjhtfpCa4qrrb87fbPwGiR8S4fmdJ1yzuyofONXZ0nUrcStStLumcpGK7p2k4nvluwId/1Hay/Xg6+h7vC/cndyxv/3+T89s3boVPXooL9hapkwZ3L9/X1OteDsTQ4CfqekXnGMivx/B3qd7MeXSFNTKXwv/NFF+XupN67/p4zr0CfDDQaDotxoPG+ftDd82dGlL0XJFiVogW6mSGvclecO1LQD/S8B364EyVOdEIrnz+g56He2F/Hb5cbzzcYm0kG7YBCqm7tOyFT68fw+3RQsFmiK5CD9XFVeC4yGXnflZD1b/gdWB+CrnV9jZZqdoCobv2IHgKVNhW6UyimxWzF79NOjufsA90qHpLOK5GSKaLgbV8X8ewN4BgHsDoPc+SVUfcGIALgddxozaM9C+eHud6JJM57ZX1WoCj7v70SOwKVpUJ/2aUif8XDWl1dbvXLnDXb9489EkRIAfpBKCb+RDJyYn4ptNKYVSL3S9ACcbJ+UzXkUveoG3gO4UcV6Sot01lcsU1X58AtHSEE9fZ0V+9tQu74bcRY8jPeBm74ZjnY59Gql///5Yv359Ov52S0tLDBkyhPO3a7omJtiOn6npF51jIr8fwoo7K7D8v+XoVKITptWaJq2CC4mqIyoIGHAWyF9RY11ejh6Dt4cPw6FJExRYShewhixbqYC4F9moNjSPykRrIpEERwejya4msDCzELh1LcwtJNJEumFDV6xAyF9LYJk3L4odOQzz7NmlUybNyPxcVVwGjocstqWCEh6PPTDz6kzUL1gfSxsqp3rUhdYvR43G2yNH4PLLL8g9bKjyLrd0AZ7SpSGjnGTUk1yAJ0eBbRSk5Ea0Zf11U6xUU1inXpqKPU/34JeKv2BQBe1ruaTq8bxXb8Rcv46806bBuSvZVS5qIcDPVbXg4g+rgQB3uKsBFn/UsBHgB6lhr5+ctY9JiEH1rdUFFRlHsK2lkhRP9seVdYHgu0CP3UAJohbQVK5SlOZRShVl0YAsKlCJPAl7gs4HO8PF1gX/6/K/T08UpagHPz8/pW04f7umC2Ka7fiZmn7dOSby+y1MuTgFe733YkjFIfi5ws/SKjgrP5AQDQy7DeR010iXOF9f+LZqnRLdvncPsn39tUb9yKbR7v4UjUmX0E1nUjRmBg4kPSiblJyEKpurCJlqJzufRF67vHoYVV5DJMfFCXsrISAAuQYNhOvw4bJQkJ+risvA8ZDFtlRQYvHNxVhzfw26f9UdE6pTQIwIwvi/n9b9FkmhoSi0YQPsqmdAR5JKX/ndBvpO0E0EtQjT0W+XfkTzs56ydnJRMduhN/U79hejrfxvJZbdWYYOxTtgeu3pOtMl5O9lCP37b8pOakFZSlQ4l4taCPBzVS24+MNqIMAd7mqAxR81bAT4QWrY6ydn7cPfh+NbjxR6gDu97mQcGbeCihu9IsqWXpTOWIyi3TWV6/8Ch0encAAzLmAl8izyGdruawsHawdc6kbp+iQvX75EgQIFlD5vRoX33rx5A2dnZ0214u1MDAF+pqZfcI6J/H4EjL+d8bjPqjMLbYtpUTtD26klJQIzcqX0MtYXsPv472r2+3LcOLw9cBD2jRqh4LK/1Wwtw8eZLWM2TQZ8w813N8fLdy+xscVGfOOakrVmahJ16hQChgyFmbU13A8fgnVB3RT10wZHfq4qosfx0GY3idN2/LnxOPLsCEZXHo0fy/4oyiBxPj7ChZiZjQ1KMv52+v9KZTkVb339kL419tK3RkNRdDG4ToPvUdBTHbK7RPk59qmk6u/33o9JFyehRr4aWN10tc50YdHtLMrdwsUFJc6f4zzuaiLLz1U1AeOPq4wAd7irDBV/0NAR4Aepoa+gfPVPTUW3NLfE7V4UuZiRLKMo+JDHWvP34sY64NAIoBTxwHcjPnglEvguEM12N4ONhQ1u9LwhPJEZf3vZsmVx7x69kHLhCKiIAD9T0wPFMVFx8+jxsdZ7W+P52+dY22wtquatqseRvxgqJgyY95FXdXIoYGGlti7xlJ3EeLaRnIwiu3bBtmwZtfuQXYNTvxMXG0XjVR8ItJgrqXo/HvsRN1/dxNy6c9HSXT4c5voEhUXRvvipH6IvXYJ9Y7rUoYhJqYWfq4orwPGQekemH7/30d64/fo2FtRbgGZFtKCMzGRqYVSD6dX0GcheowYKr6fvgIxkEdmFtwFAP6JOKUAUKlyA8OfAX+UBy2zApFeSIpJaY6uwY2Ec6nBIZ7okx8en8LhTppL7oYOwKU7R/FxURoCfqypDxR9UEwHucFcTMP644SLAD1LDXTu5a+7/1h+t9raCnZUdrnS/krG6S6sAbyiyog9xCRaupfm0bm0CDlAhpBL0Ut+DUvGVSGhsKBrsSImiv9v7rhDpkBl/+9ChQ7GIpyBqviYm2JKfqekXnWMirx8Ccx4ympD45Hgc7XgUBRyUZ/joReuwZ8AS4m1nlGOTgjUaMvDXCYjctw/29euj4MoVGvUhu0YX/gROTQMqdAM6rJRUvd/O/4aDvgcxotII/FTuJ0l1kXJwIZK2HVFRJCai4L//wr4OZedJKPxcVQSf4yHhZsxgaFb/gQXfbGm5BeVzk2NXBAkYNhxRJ04g9/BhcBmUCff3bMpKiXsLDCHqFBfudBWWIjYCmFs4ZVUmhZAdthZhhVTr8kXUC7Tc0xLW5tZCQBT7PtOVPO/TBzGXryDP5EnI2aOHrro1iX74uWoSyyzJJLnDXRLY+aBSIMAPUilQN40xn4Y/RccDHZEzW06c/Z6K4WUkf5GzJZycLn1PAIVSON81kjsU1b6PXraLEw98T+KDVyJR8VGotS3Fqc8KwFlbWCMz/vb9+/ejbVsJ6RY0AoI3khIBfqamR59jIuWOTD926sWjGcyEc9BKg6hync0o6D/gH6Ies88DjPFSu9t4f3/4tKCo66QkFNnhAdvy4jh11FZM2wbXqfD34VGZZmxpO4Sq7ZfcWoLV91bj+1LfY1KNSao2M8rnXs2egzDiibYuUgRFD+yHOVHMSCX8XFVEnuMh1U5UPm5CcoJwsZv8IVmomcRqJ+laPlBW09NatZEUEYHCW7cge6VKyoeg5zA9J/3tA9kZCvCxJwoVLpQVlvQRFwJjrA9Ry+h+jVSFOSEpAZU3V6YV+oAzXc4gl61m9HLKxgtduRIhi/+CQ9OmKLDkL1VV4s8RAvxc5dtALAS4w10sZHm/skOAH6SyWxKjUehB6AN0PdwV+ezy4URncqZnJFSwrNoAACAASURBVIvLARH+lObpSWmeFO2uqfznAewdALhTBHtv4oNXIuyFrtLmlBdyxuH+NuQt52/XFG/eTikC/ExNDwvHRF4/lvuh99HtcDe42rrCswudu1LKs/PABip26lKSIg+vq61J4MSJiNy9B3Z166LQ6lVqt5dtg3u7gN0UTV6Eior/qLv0ek3mu9NrJ6Zfno5vC3yLZY2WadKF0bRJiooi+qKWSAoJRe4Rw+EykCh/JBJ+rioCz/GQaCNmMGwqhaOVuZUQsWxuZq5zBd8/eYJnlHVilj07Sl25LNRYUCppI7knEnWKFVGocElB4A/KcKNgJAy9RcVTi0mKSqMdjfA69jW2tdqGsi5ldaZLzK3beN69Oyxy5ECJSxdhZq77vagzZWXWET9XZbYgRqQOd7gb0WLyqWSOAD9I+Q4RC4Fbr27hh2M/oIhjERzscDDjYRaVpiv0l8CAM0B+LQqyqeCgYFQKFTZWECIoWMTN8T3H0bNnT6W6lStXDnfv3hULHt6vkSLAz9T0C8sxkddmP+F3AqPPjkaF3BWwuaXyAtN60/jxYWB7d8CNLlv7q+f8jw8IgE/zFgLFR+FtW5H9Gy3sh94mrOJAT08CWzoDeSlifyBdSkgoF19exMBTA1E8R3HsbUcFB01cIg8dRuCYMUKRRqGAagZF18WGiZ+righzPMTecer1z+o+sPoPBR0K4kjHI+o1VvHpsI0b8eqP2bCrUweF/s2k0CYL6mHBPZTVislEncLlMwKp32D9/0d2OIMMAT3h1eNID9wNuYtF9RehSeEmOhv1Q0ICnlSvgQ8xMSi6fx+ylSqls76NvSN+rhr7Cks3P+5wlw57PrKeEeAHqZ4BN6HhLgdexoCTA1DSuSR2t1VO8SLAsYBefN4Rd+/P5FTIpwUdwANyBOz8kXjgiVe1j+LLfTwVzQkODkbBggVRbUs1vE96j+OdjmPKiCnYQOnhieSwSSuWlpbg/O0mtFl1OFV+pqYHk2Oiww2mg642PNiABTcWoHmR5phfb74OetSiizvbiAqMooSLNQR6qefMDZo8BRE7d8KuVi0UWksULMYk/leBtU0B5yLAcKLdkVB8I3zRbn872FvZ43L3yxJqIo+h2cW9f5++iLlyBfb16qEA1Q3QJd+wqrPk56oiUhwPVXeOfp476HMQv134DdXzVse/zf4VZdAXvwzGu9OnkXv0KLj075/xGMH3gZX0bWCXm6hTvEXRxWA7XV4TeP2QMoP3U4ZwfUmnMfbsWBzzO4YxVcbghzI/6FQX//4DEH3+PPL8NgE5e/fWad/G3Bk/V415daWdG3e4S4s/H12PCPCDVI9gm9hQZ1+cxZDTQ1A2V1lsa01OlYxkPhUviqaIk0H0IZ+Hot01lUcURe9B0eoFiQf+J0UKmzlz5mDChAlwdXVFcvFkWJeyxqahm9C3Q188f/5c6YgHDhxAmzZtNNWGtzNRBPiZmn7hOSby+jHMvTYXmx9tRp8yfTCqCvGESylX/wGOjgNKUzHKLhtU1iTh5Ut4s+h2ilzLlLtX5R5l9uDrR8DyGoCtMzDeT1LlYhJiUH1rSn2Vi90uwtHaUVJ95DB4nK9vSgFV2n8Flv0Nh0aN9K4WP1cVIed46H0LZjrg6rurseT2ErQr1g4z68zUuXIfqG6HV42aSCaapyzrdzy/BKwje5GTKFOGEXUKl88IrGkGvLhC9ncj2eF2kiKz6MYirHuwDj2+7oFfq/2qU13eUKHr1wsWwp7O6oJ0ZnNRDQF+rqqGE39KfQS4w119zHgLA0WAH6QGunAGoPbJ5ycx6swoVHKthA0tMnGkzC0CxIYDg68BubVI83tMUe3buymlJti6dSt6pFamZ9R9VD8pM2HRamFhYchBfH9cOALqIMDP1PRocUzU2UHiPzv6zGiceH4C46uOR8/Syim1xNfi4wjnFgCnZwDfkB7tVOcHD/r9d0Rs247sNWqg8Pp1elNXbwNFvCAKBOKwlQkFQq2ttRCVEIX97fbDPYe73mCQ80CvF/2JN6tWwSp/frgfOghz4pHWp/BzVRFtjoc+d1/WY826Mgvbn2xH/3L9MazSsKwbqPlE7P0H8OvcGeb29ijJ+NspMzVD8aIgnK3fURZtBcqmPafmSEb++OZOgPcpoP0KoCLRu0komx9uxtzrc9G0cFMsrL9Qp5rE3rsHv++6wNzRESUvX4KZhYVO+zfWzvi5aqwrK/28uMNd+jXgGugJAX6Q6gloExzmiO8RjD8/HtXzUTpp00zSSWcXAuIitS/Y8+mFuiK9UJ9VQPzZs2dwd1fdSZCfPqDPnTsntJEiVdwEt4vRTJmfqemXkmMir+3d51gf3Hh1A/O+nYcWRSnqT0rxnA6cpw/r6kQr02KuSpokED2YT5OmYLyshTdtRPaqVVVqZ1APxYQB84qmqDw5lBzvVpKq32ZvG/i99cPaZmtRNa8R4q0BusmxsfBt1RoJgYHINWAAXEeN1KAXzZvwc1URO46H5ntJjJapF7ssUplFLOta3qxZi9fz58O+fn0UJFqnTCUTykld62Vw/e0gepWHRCfTki6/q2VCy6OHiR19dhTjzo1DlTxVsK65bi/SPxB1qFfNWikZETt3wJbqdHHJGgF+rmaNEX9CMwS4w10z3HgrA0SAH6QGuGgGovJ+7/2YdHES6rjVwYrGmbwMz8pPadnRlOZ5h9I9PzoYNJkji9BgkRp56SVq4AWFHhjnau7cufHmzRu1es6bNy+aNGmC+vRC36xZM7i5uanVnj9segjwMzX9mnNM5PU7aLuvLZ5FPhMuQtmFqKRydDxwdSVQh6htGk9VSZXgGTMRvmWL4GhnDnejlMQ4YKZrytTGE+2ZrbTZVj8c/QG3Xt8SOP8Z9z+XFASiiD86gHikYWUF9317YVOMKCv0JPxcVQSa46GnjafiMKxgKiucOv9bOjOK6v7M8KdLruhz5+E6fjxy9fkxc61uU3Hw/fQ7LU6FOHvuUnEGJvLY3kHAf1vJ/v5OdniEpJO+FnSNGEF/QlGnojjQ/oDOdQkYOgxRJ08i94jhcBlIl/xcskSAn6tZQsQf0BAB7nDXEDjezPAQ4Aep4a2ZoWi8y2sXfr/8OxoUbIAlDZdkrPbMPEDie2AEFTXKUVDz6fmeATYS/6Ar8cD/kr6wW9u2bXH48GEkJ2fBJ/OFBqyAKiuqWqRIEbBIeS4cgcwQ4GdqenQ4JvL6zdTeVhtv499ib9u9KO5MNTSklP1DgNubgIaTgG/HZqlJwqvXFN3eBB+oEHah9ethV0PiC4MsNdbwAbokxvRcwIckYBTxuTvSxbSEwujhGE2cWNGqEk5N66FfDByEd2fOIHv16rQn1+ktK46fq4pLx/HQeivrtAMxs2JYdtOT6jXwISYGRemiK9tXX2Wu+9VVVCuE7AvjKGdc5Vw+I3B4NHCdspDr0eV3g98kRcY73BsdDnQQ6oSweiG6lvDtHgieNg3Zq1RB4c303sElSwT4uZolRPwBDRHgDncNgePNDA8BfpAa3poZisbbHm/DH1f/yJqLjzkVkhO1dyo8Ow9saA24EA/8EOKD/0Lmzp2LiRMnIokKLWkiq4irtX9/adMtNdGbt9EvAvxMTY83x0S/ezCz0RKSElBpcyXhkXPfn4NzNirKKaXs6gvc3w00nwPUoEi7LCT4jz8QvnETbCtXFj6YjZryK5VubchNsmvSXozMvDITHk88MKD8AAz9ZmhWy2RSf48PCBCoZT7ExSE/UVw4taH3ED0IP1cVQeZ46GHTqTFErW1U9yFenLoPMbdu43n37rCgOkslLl2EmTkrzpSJnF8EeFIEd0Witmm/XI1ZmMCjJ6dQNey/gJp0+d1slqQTDn8fjm89vhV0uNXzFqx0TKXGzmqfxpTlQIFUJa9cgYW9naTzNYTB+blqCKtkmDpyh7thrhvXWgME+EGqAWi8iUoIbHywEfNvzEcr91aYU5ecKRnJNJYqT9F8o70AB4p211SeXwLWER9xTkrpHnYrXS+Mk71evXoa9T527FjMmzdPo7a8kWkhwM/U9OvNMZHPb+BV9Cs03tUYFmYWuNXrFszNsnBUiK361u8Br2NAG8qCqvxDpqMlhoTAmz6WmWOz4Jp/YV+7ttjaSdv/QorajAoCBlBNkvxUm0RCWfHfCiy/sxydSnTCtFrTJNREnkOHrlyJkMV/wcLFBcWOHoGFg4PoivJzVRFijofoW07lAeKT4lF5c2Xh+QtdL8DJxknltqo8mPp7c2jaFAWWkLM4Kzk9k26Y5wNVKWimFXGVc/mMwBmqnXLmD7K/fcgOL5YUmeQPyai0qRKSKLPrVOdTyGOnxTdhBjPxJnrQhOf+KLB8ORwaNpB0voYwOD9XDWGVDFNH7nA3zHXjWmuAAD9INQCNN1EJgTX31mDxrcVoX7w9ZtSeobwNo3eZ/jHCcqwvYEfR7prKC4pqX0ORC85FgOH/peslOjoajlSdXh1KGXOKmmnXrh127doF9u9cOAJZIcDP1PQIcUyy2jX6+/vDNw/x/aHv4WLrgv91+Z/+Bs5opPUUDexH2Umd1gDlOmeqz6s5cxFGNDK2FSui8Latxh3dzpBYQpkIYT5An6NA4VqSrtWOJzsw48oM1C9YH0sbLpVUFzkOnkwUR8/atkO8nx+ce/RA3slEkSSy8HNVEWCOh8gbTo3ug6OD0WRXE1iaWeJmr5s6v9h9/mMfxFCEcp4pk5GTIt2zlGNElXJlGVCbOMqbUKQ7l88IXKLz/ASdV+Xp8rsjUe9ILA13NERIbAg8WnugdC6iCNWxBE+fjvCt2/R2TutYfb13x89VvUNuMgNyh7vJLDWfKD9I+R4QC4GV/63EsjvL8F3J7zClJqUsKhOiN8AMl5S/jPejwnBa0BsEUNr9vw0BJ+KBH0l88EqkfPnyuHfvnkpTtrCwQEVy7Jw/fx62trYqteEPcQT4mZp+D3BM5PO7OB9wHr94/oJSzqWwq60MisetpjP7JZ3d3bYDpShDKQNJpILX3o0a48P79yi4ehXs69aVD6hiabKS5hh8F+hBlDslGos1ikr9ej73xIgzI1DepTy2tNqiUhtTeyj68mX49yGKJDMzFNm+DbYVKogKAT9XFeHleIi63dTq/MGbB+h6qCtcbV3h2cVTrbZZPZxMGU5eVasJdTzcjxyGjbt7Vk2AA8OIo2QDcZRPJK7ycVk/b0pP3FgLHBoJfEWX312lP9s7H+iMJ+FPsLzRctQtoHs7H+XpiYDBQ2BduDCKHafsOi6ZIsDPVb5BxEKAO9zFQpb3KzsE+EEquyUxGoWW3l6KVXdXoftX3TGh+gTl80qgYqmzPqYMTggAbLRIww68A6wiyhgHKi43morMKZEhQ4Zg+crlVIeOKGwyEeZsz5cvH27cuIE8eXSf0mg0i8wnkg4Bfqam3xQcE/n8UPZ778eki5NQK38t/NPkH+kVW0ZFT0MeA70PAO4ZU369Im7ssDVrkY0uTYt4bDf+6Ha2MmubA/5UAPw7chSVaS/pWt15fQe9jvaCm70bjnXiToqMFiNw/HhE7j8Am5IlUXT3LphZWYm2bvxcVYSW4yHaVlO743MB5zDYczC+zvk1drTZoXb7zBpEX7kK/x9/hGXu3Ch+7qxqtmB3P+DeTqApcZTXIq5yLp8R+M8D2DuA7C/Rq/TeJzkyP5/8GZcCLwmZ0SxDWteS9O4dvKjgLhX0QrFTJ2FdoICuhzCq/vi5alTLKavJcIe7rJaDKyMmAvwgFRNd0+570c1FWHd/HX4o/QPGVB2jHIy4d8Bst5S//UZctdbZNQctmCLXV9YB7MlBPob44JXIli1b0LNnz0zHYEX47OzscPXqVZQurft0Rs0nyFsaAgL8TE2/ShwT+ezctffX4s+bf6K1e2vMrjtbesX+LAdE+gP9KAqyQBWl+iSGhaVEt8fGosDKFXCoX196vfWhwaaOgA/h0n4FFftTgTZBRJ383/qj1d5WsLW0xbUe6YuSizi0QXXN9qpvy1ZIiohA7lGj4DJAvELr/FxV3BocD/n8VPY+3Yspl6agtlttrGy8UqeKvf7rL7xZsRKObdrAbb6KtZW2dQOeHAFaE0d5FeIq5/IZgUcHAQ/6LipQjezwScmR+e38bzjoexAjK49E37KUMSSC+PXoidibN5H399/h/H0XEUYwni75uWo8aym3mXCHu9xWhOsjGgL8IBUNWpPveO61udj8aDP6leuH4ZWGK8fjfSQwp1DK3yaFUOV4a81xe01R7cspaiE78cCPIz54JeLj44PixYtnOgaLbj927BgaN5Y2hV9zIHhLKRHgZ2p69DkmUu5IxbHnX5+PjQ83Zn4Rqk915xYFYsOAX64Arl8rHfn1wkV4s3o1spUpgyK7dqoW0ajPOYg1lkcv4BFF/rekIn/VxHPcqqJ+dEI0amwl+0pytftVZLfS4nJclQEN+JmIffsQ9OsEmNnYwP3AfoG6QAzh56oiqhwPMXaZZn2m1nBqW6wtZtWhqHIdil+37oi9fRv5Zs5Ajs6Z1/34NOyGtsAzKj7dcTVxlXMHq8Jy+JwGNnUA8pQFBl3U4Upp1tXCGwux/sF69C7dG2OrjtWskyxahVDB1NAlS6Fy0V1RtDCMTvm5ahjrZIhacoe7Ia4a11kjBPhBqhFsvJEKCMy8MhMeTzwwqMIg/FLxF+UtYsjRMo8cLkym0L+bW6jQcwaPhFBU+7KqQLYcwK/PlT704cMH2DrZIi4qLsNxVpNjp18/Sj/lwhHQAAF+pqYHjWOiwUYSqcmE8xNwyPcQRlUehT5lZRDpN5MykhKJWmw4cZU7p3dMJoaHw4ei25NjYlBg+TI4NCTOd1ORvQOB/7YBjanIXx0q9iehMNtZbUs1vE96jyMdj6CgA9VK4ZLhe4Z/376IuXwF2WvWQKG1a0W5JOLnqiL8HA/5/CDnXZ+HTQ83oU+ZPhhVZZTOFEuOjsYTRgeSmKgeHci/FEATcJ04yrcSV3krneljFB35XyX6sqZkf+lbbDhRc0os6++vx8KbC9HKvRXm1J0jijax//0Hv++7wtzRESUvXYSZpaUo4xhDp/xcNYZVlOccuMNdnuvCtRIBAX6QigAq71JAYNqladj9dDeGfTMM/ctnEJ33jqLaF3yMOJ8aIRQb01je+ABLKxEtDfHA/0Z88BlIidol4H3ZG1BC4z6e+FfnzBHnBU/jefGGBoUAP1PTLxfHRD5beMCJAbgcdBkza89Eu+LtpFUsOQmYnjNFh7GUlWRH2UlfSCp9gM3XX6Pont2iOC6lBSGT0Q+PBq7/S0X+xlOxv98kV7PZrmYIjA7EphabUNG1ouT6yFmB+OfP4du2HT5Qgcd8c2YjR3vdcxHzc1VxB3A85POLGH9uPI48O4IxVcbghzI/6Eyxd+fP40X/AbByc0Nxz1Oq97u8JvD6IdCLOMqLEVc5l88IBN8nOs7aZH9dyQ4/lRyZAz4HMPHCRNTIVwOrm1JGggjygfjbvWrWQvLbtykFritye5YRzPxcFWED8i4FBLjDnW8Ek0GAH6Qms9R6nyh7YWIvTqMrj8aPZX9UPv5b4m1f9BWduhTZPpUi3LWRcD/grwoAS3WfSP1mII0HNYbnKuLFTf78gLm5OTp06IAdO3aA/TsXjoCmCPAzNT1yHBNNd5Pu23U60Ale4V5Y0XgF6rhRzQsp5f1bohT7GCk9MZjOblsFbZIiIwXu9mQqcua2dAkcmzSRUlv9j31iMnBpCVCTivw10y0tgyaT6X64O+6F3sPiBovRqFAjTbowqTahq1YjZNEiWOTIAfejR2Dp7KzT+fNzVRFOjodOt5dWnfU70Q9Xg67ijzp/oE2xNlr1lbZxavFsp04dkX+WGmfi4vJABGW+/kQc5QWJq5zLZwTC6LJ7yTcUrGRPwUovJUfm4suLGHhqIEo6l8TutrtF0ydg+AhEHT8Ol6FDkHvwYNHGMfSO+blq6CsoX/25w12+a8M10zEC/CDVMaC8u08IjDs7Dkf9juLXar+ix9c9lCMTSZHof5YBLIi7fTJFu2sjES+AxcRBmEVf/Zb3w5rBaz6NxDjbK1WqhLNnz8LWVtHho406vK1pIsDP1PTrzjGRz2+hwY4GCI0NxY7WO/B1LuWc6XrTNoqc7AtL0XCU2TQ1PF2GU8jSvxG6bBlsSpZE0X17YWZql6FnKNvqDBW2rUzUP22o2J/EMtRzKM4EnMGUmlPwXcnvJNZG/sN/SEjAs06dEeflBad27ZB/rm6z5/i5qrgHOB7y+U102N8B3hHe+KfxP6jlVktnirHf0/sHD5CfiqU6UdFUlWU+ZdJG0zfGoEvEVU7fHFw+IxD1iuxwyQztsL6hehz2GN8d/A65suXCme/PiDZ8OAVYBU+ZKkS3syh3LsoR4Ocq3xliIcAd7mIhy/uVHQL8IJXdkhiNQiP/NxKn/E9hco3J6FIqgyJFKkalqwSKitHys87NwqT6kwRKGeZsz5cvH25StXpXV0qn5MIR0BIBfqamB5BjouWm0lHz5A/JqLSpEpI+JMHzO0+4Zpf4zMuEBiyJUr2F6PaoKLgtXgzH5s10hIIBdXNpKXCCbFX576nY3yrJFU+liRtccTAGViB+eS5ZIhB75w5YkUcQB36htWtgV0t3zkd+rirCz/HIcjvq7YF6HvUQ9j4Mu9rsQqmc7FJVe2EZT141iBqGfkvFKUDGKo8a9mtWPiAhBhhGHOU5P9aN0l4l4+gh7h0w2y1lLr9RdrC1tAWxQ2JC0HBnQ5ibmeNWz1uw0Ka2VyYrlBAUBO8GVBOGLvJLXLyg8wwk49gcAD9XjWUl5TcP7nCX35pwjURCgB+kIgHLu8UQzyE4G3AW02tNR4cSHZQjoiLvukpwvntNfPAlUh7NhA9+8c3F+LX9r4gLiIO9vT2uXbuGr4kfmAtHQBcI8DM1PYocE13sLO37YA4Q5ghhcqvXLViZW2nfqTY9BFGh1H/qAvZUOHUMFb1OIyHLlyN0yVJYFy8G9wMHTC+6nWFxnTKxDlPBwa9aU7G/LdogrZO2S24twep7q9G1VFdMrDFRJ32aQifBM2YifMsWWBUsSHt5P8x1lEnHz1XF3cPxkMevKYlqc1TaXAnsgvd/Xf4HF1sXnSgWdeoUAoYMhXXRoihGFE0qSzLxR07/SOc0huo32edWualJPJgWn7FUC8tON+ulKXYJyQlCYACTM13OIJdt+toumvb9ZTvf9h0Q9/gx8s+bC6e2bXXVrVH1w89Vo1pOWU2GO9xltRxcGTER4AepmOiadt8/n/wZlwIvZc7hGEoFev6uAmTLAfxK/IraSAxxwM/7GLkyhf49g6iIZXeWYcrYKQg/HY5TJ0+hYUOKcODCEdARAvxMTQ8kx0RHm0vLbp6GP0XHAx3hZOOEC10vaNmbDpr7XwHWUuS6M53bwyny8KMkEWe7EN1OEY35Fy6AU6tWOhjMALv4bzuw92fAnYr89aZifxLLlkdbMOfaHDQp3ASL6i+SWBvDGZ7tZ99WrZH46hVy9fsJrmPG6ER5fq4qwsjx0Mm20roTRlnGqMvM6P/Yxa6luaXWfbIOgmf9gfBNm5CjW1fkmzpV9T4VIrgDKYLbTvW2pvLkzLxAYizZ4f/IHheRfNZ1t9dFRFwE9rTdgxLOHwOpRNDq9Z+L8eaff+DYsgXcqN4GF/7+zveA/hDgDnf9Yc1HkhgB/oIq8QIY8fB9j/fF9eDrmF9vPpoXaa58pq8fActrANkpgmEcFe7RRmIjgLmFU3qYRNHuljZKe1t1dxUWX1iMevb1sKL3Cm1G5G05AukQ4Gcqf2GX68+CFbFjxezcndyxv/1+6dX0puLVmzsSp2454tb9fAEQuvIfhBCNjLW7O9wPUnQ7UX+ZpDw6CHj0pCJ/1anY3wnJITj27BjGnhuLynkqY33z9ZLrY0gKRJ0+jYBfqDAf0RcU8fCAbTmqN6OlcFujCCDHQ8sNpaPmT8KeoPPBznC2cca5rud01Cvg26Yt4p4+VZ9iLG326xSqFWJqtUBUWYF5xYCYULLDl8kel1alhajPtN/XHj6RPljddDVq5KNvRJEk5vZtPCfKL3NHR5QkWhkzK4mz/kSapzbd8nNVG/R428wQ4A53vj9MBgF+kJrMUut9or2O9MKdkDtY3GAxGhVqpHz84PvAytpKKQXUVlhFHsJ199dh0c1FaFusLWbVmaX2MLwBRyAzBPiZmh4djok8fjNHfI9g/PnxqJKnCtY1Xye9Ug8PADt6KTiUk95Fw6dRIzC+XrUL40k/I91q8OlCgpyzgy7qtm8NersWdI38/j+hiGMRHOxAlwFc1ELg5ajReHvkSEoR4F07YWZNxeK1EH6uKoLH8dBiM+mwKctsZRmuxXMUx952e3XSc2JoKJ7WIfoxkhKXL6nHtx32DFhSEbCiyPaJFOHOJT0Ci+nSO8If6EeX4AUo61hi+en4T7gWfA1z6s5BK3fxMtw+JCUJ+yopPByFNm6AXbVqEs9cfsPzc1V+a2IsGnGHu7GsJJ9HlgjwgzRLiPgDGiLQ9VBXPHjzAMsaLcO3Bb5V3ksg0QisIk5hh/zAaIp210YSKB1yFqVFMvn1BdHUOCr09oEKLTEOSK/FfyAyLBhJbq6o0Xc87Mm5Y26jPBpeG3V4W9NEgJ+p6dedYyKP38Kmh5sw7/o8NCvSDAvqLZBeKSWUKaGrVyNk4SJYFy4M98OHYGapGzoC6SergQYZUO5o0JNOmvhE+KD9/vZwsHbApW6XdNKnKXWSGBYmUMsw547LkCHIPYQi3rUQfq4qgsfx0GIz6bDpId9DmHB+AqrnrY5/m/2rk57ZRRW7sLL56iu471PTiZ8a2GNH3O1jicOdS3oEllEUeQh9g/WmzDf3+pIjNO7sOBz1O4qxVcaid5neouoTOP5XRO7fj5x9+yLPuLGijmWInfNz1RBXzTB05g53w1gnWWm5KXUGGgAAIABJREFUbNkyzJ8/H8HBwahQoQKWLl2KapnclO7cuROTJ0+Gn58fSpQogblz56Jly5af5sScg1OJo241fXxGRESgdu3aWLFihfBsqhQpUgTPnyvyXs+ePRu//vqrytjwg1RlqPiDaiLAuIIZZ/CqJqtQM39N5a1f3gRWE4e6UyFg5D01R/ji8aQEYMbHYj/j/QDbj0WS6DEWxRA87XdE0O/uSzF3chI4gp06dkS2MqVhZmamnR68tUkjIPaZaoi2RmxMTHrDqTH5v279hX/v/YvuX3XHhOoT1Ggp0qNfFAVNjokRuNuZQzLfnNnI0b69SAMbSLfBZBNX1tFNBpgOphzxPgJ1PVKiTG/1pKK7Fjz9Xl1YUx2HoIukort3I1upkup28el5Mc9Vbmc0XhaTb7jhwQYsuLEALYq2wLxv5+kEj6ApUxGxYwdy/vAD8kxQ/RtXGPzFNWBNkxRucsZRziU9AqspC/nlDSrOvY2KdH/2RUgFFasVwmqG/FT2J4yoPEJUNd4eO4aXI0YKFHbFjhwWdSxD7FxMO2OIeHCddYcAd7jrDkuT6MmD+Bh79+6NlStXonr16lhM3KPMof7kyRO4urqmw+DSpUv49ttvwZzjrVu3xtatWwWH+61bt1C2bAqvI/tv9vcNGzagKFVkZ875e/fu4eHDh8iWLZvwDHO4//TTT+jfv/+nMRwcHGBnp3pBGH6QmsQWlWSSbfa2gd9bP6xrtg5V8maQoqjLF+HkZGD6Ryf7WB/ALsX5/oH+98Cx4/D2ML1IEXdjaKe6WGp9Aa3DCqLmnTgkBgV9wsemVCnk6NgBjm3awDJnTklw44MaNgJinqmGamvExMSwd4t+tZ9ycQr2eu/F0G+GYkD5AfodXNloF5cAJycD5b8HOq7Cm7Xr8HrePFgVKiR8+Jp0dDvD6w3ZsaWVqMifPfDbS8nXK/lDMipvqozED4k42fkk8tp9zCiTXDPDUYAF0wQMGYp3np7IRu/7RbZv03ifi3WucjtjOPtJjpoyykZG3djz654YX228TlT0btYMCc/9UWD5cjg0pCLS6ojP/4BNdHnrWgb4hWfmKIVuQxvgGfHtd1oDlOusDrqiPLv67mosub0E7Yu3x4zaM0QZI7XTpKgoeNWsRUVjE1HsxHFY0/sHl88IiGVnOMYcAe5w53tALQSYk71q1ar4+++/hXbJ5OArWLAghg4dqjTa/Pvvv0d0dDQOHTr0aZwaNWqgYsWKgtOevZDnz58fo0ePxpgxY4RnIonPNE+ePFi/fj26du0q/G/M4T5ixAjhH02FH6SaIsfbZYVA893N8fLdS2xuuRkVcldQ/vhzKtCzjgqq5qSCPcNuZdVl1n+f5pTyzGgvoqnJI/zr60V/4s2qVcTfaAW3BQtwtngcfrvwG2rlr4WVDZcj+soVRO7eI9DNfIiPT2lPzzrUr09R7x1gX7euxh/EWSvMnzA2BMQ8Uw3V1oiJibHtHzHnM9hzMM4FnMPUmlPRuaT0H9U4Mwc4Mxuo0hfJjf6Ad+MmSHrzBvlmzUKOTlRM1dQl6hWwkEVAU9bVVCr2J4Psq4Y7GiIkNgTbW29HmVzkwOKiNgIJr15TAcg2SH77Fq5jRiNXv35q98EaiHWucjuj0XLwRh8RmHhhIg74HMDwSsPRr5xmezstmAkUFOPdgDJhKWCm5NUrsKDAMrXkEX1re/QgbvKqxFF+Sq2mJvPwtm7AkyNAm7+Ayj9KPu09T/dg6qWpqOtWF8sbLxddn+c//IiYq1eR57ffkLM31ZXh8gkBsewMh5gjwB3ufA+ojEA8OeiyZ8+OXbt2oX2a9OcfKO2NUcHsJ16wL6UQ3Z6OGjVKwVHO6GP27duH//77D76+vihWrBhuU/Vs5oRPlXr16gn//ddfZBBJmMP9/fv3SEhIAOuze/fuGDlyJGWqqs55yg9SlZeaP6gmAo12NsLrmNfwaO2B0rkyqHrvdwFYTwVxXEoBQyjtU1uZnotuvBKBUcRF6Jgfb0+cwMthw4Ve88+dA6d27XDs2TGMPTc2XeFAVqQvkqLgI/fsxfv7VMz1o1jkdoFT6zZwattG4I/klDPaLpJxtxfrTDVkWyMWJsa9k3Q/u9S6GksaLEGDQmpGCepeHeAERbdfoij3mkMQFlwSr2bPgZWbG4odOwozuvQ0eYmLAmYXSIFhYjBdBNtKDsl3B7/D47DHmddmkVxL+SsQQe8ZQeTcYYVTi9K7v417UbWVFuNc5XZG7WXgDb5AYNCpQbjw8gKm15qODiU6aI1PBP0+gn6dgGzly6PoDg/1+7u7A9hDmeDu9VM4yrmkR2DXT8D9XUAzugCv+YvkCJ19cRZDTg8Rvh3ZN6TY8mbderwmZgG7WrVQaC1F+XP5hIAYdobDyxFgCHCHO98HKiMQGBgIN/pAZDQxNWt+5qkeN24czp49i6t0Y/qlWNMLNqOK6daNbpQ/ynJKk/v999/x6tUroS/G2c76zpcv36dnunTpIjj7WLonk0WLFqFSpUrISdQXrM2ECRPQp08f4X/PSOLi4sD+SRV2kLJofBZB7+ioWGRSZRD4gxwBJQjU86iHsPdh2NN2D0o4f649oPCo7xlgYztK9SSH/C8U7a6tzCAKpyTa3yPuISHWCr7tOyCZ9nbaYjiezz0x4swIIeqeRd8rk/dPvMjxvgeRBw8iiQqdpYpNieJEN9OWHPCtYEVZKFw4Al8iINbLqSHZGm5n5Pm7aLqrKYKig7Cl5RaUz11eeiUPjQJurEFyzdHwnnkSSSGhyDv9dzjTuw4XQiA5iWjSPlKbpaFJkxKbgScH4mLgRSHNn6X7c9EMAZbJ+qL/ALx/8pgy7xbCrno1tTsSw9ZwO6P2MvAGXyDQ5WAXPAp7pLNLuUBytkeS0z0X0ae6jiaboa7cWAscGgmUouCeblvVbW0azx8YSoU5NgINJgH1pC8cej/0Prod7ibQljH6MrEl7tkz+LYg7nq66C95+TIs7FWn5hVbN6n7F8POSD0nPr48EOAOd3msg0FoIeXL6ZcArV27Fj///DPevXsHGxsbpfhNmzZNcOx/KdzhbhDbzaCUrLWtFqLio3Cg/QEUdcogesvbE9hM1AF5ygGDKNpdW5lFF1QJMfgw9DZeTJiD6HPnka1cORTZuuVTxKQ6kROMYubd+fPkeD+Ed6dPf6acIT2zV6kCx3Zt4Ujckhb8skrblTOa9mK9nBqSreF2Rp7budqWaohNjMXhDodRyFEGPKX7KJLuzhaEmXXGq22XYJk/H4pTATMW9cvlIwJpLpGRQ/o1+/X8rzjsexijK4/Gj2V/5MukBQIJr1/DnPa6RY4cGvUihq3hdkajpeCN0iDQbFczBEYHZk4nqSJi7GLKu2EjodZSwTX/wp6C0dSWy0RJcpyKhJclGrXOPHpZKX5HiWv/6kqgDl1oNJ6qNsS6bhAQFYAWe1ogm0U2XO95XdfdK+3Pp1lzxD9/DrelS+DYhIrschEQEMPOcGg5AgwB7nDn+0BlBKRMv/xSyQcPHghFVx8/foxSVPxRmfDIQ5WXlj+oJQI1ttZAdEJ05s4db+JT3NwJyEvRlgPPazkiNf/DDYh/h7fl/sbLiX8I0Qru+1m6tvunvs8HnMcvnr/g65xfY0cbSjVVUVhhnSiiqIk8cBAx14j+hj4EBINBY9gT37sjUc7YE+0T+4DmYroIiPVyaki2htsZ+e1/5riosLECPtD/nf7uNHJnzy29krv7I/nODvicLIHEiGjknTYVzh9r1EivnEw0+GjTMOw21Tr5bMek0m7apWnY/XQ3BlccjIEVBkqlBh9XJEcItzN8a2mLQGp26+62u1HSmdWg0FzSRh6XIv52c6JwVVsuEg3rySlABcoq70BOZS7pETg+EbhMdehqDQOailukVBX4Q2ND0WBHCu3d3d539ULlySjtwoh9wInogfPPIWodLgICYn3TcHg5AtzhzveAWgiwAkPVqlXD0qVLhXasaCrjVB8yZEiGRVNjYmJwkOgqUqUW8YaVJ366tEVTWcFUVjg19cBzdXVVKJr6pZJbtmxB7969ERoaCmdnZ5XmwA9SlWDiD2mAQGo05dGOR1HA4SMP7Zf9PKVUwS0UdZKPiqr+fE6DUb5o8kcBJEW/g++5skgMeQOXXwYh9zB6gUwjl15ews+nfkYp51LY1ZY4CzUQVsQpkooevz1wAHFPvT/1YE7FnBwaNYJjyxawo0LIPFJTA3ANvImYZ6qh2hoxMTHw7aI39eOT4lF5c2VhvIvdLsLRWgYUcjt/RNi+43h1Mwcs8+ZFsRPH+YXllztiTmHgfQQwmKL8cmvnvNLFZptzbQ62PNoiFENkRRG5SIeAWOcqtzPSrakxjFx9S3XEJMboJJMq7P/sXQV4VFfTfqPECAQLGiRoi7sTHIK7BStSCuWDQguFQpHi7u7uwd2CWyB4ISQQQiBohAjxb+6GUEKyZHezd+/d3Zk+ffp/f845M+eds3PunTuyZQteT/wHNvSOnX/Des3gOTcLOE1O5HLUDLMVOZWZUiJwcjxwYS5QlbLOmkjvbA6jwKlqWxPL9N5wu4EMZqln7WtTlRHXr8Ovew+YZcqEIhfOcx+Zz+CKdc9oU3e8ln4iwA53/dSbZFILNdWFJqnLly9XON7nzZuHHTt2KCLNHR0dFU5woc771KmJl5hQb11ogDpt2jQ0a9YM27Ztw5QpU3Dz5k1FhLpA06l5h/B3odZ7wYIFMXbsWNy5cwcPHjyAlZUVLlONMaE+fN26dZGRnHzC/xYapjZt2lQxR1ViQ6oqUjxOXQQqbaqET3GfcKzdMeS2U1Lv/PFxYEsHcrhTc+CfPdRlkXL81Hx4fQX48MgOFvTRq9D+fTCl38vXdPnlZfQ/0V9RV16oL58eEqJGox49UkS9h5IDPpZSxJPIlB7aMjZsAPsmgvO9CkzUaGacHpl4rrQIiGlT9fWuERMTabWtP9xDo0NRY2tiOr6nmycszaTPxInf3BU+s24gNtIMjmPHIEu3bvoDqK4knVkYCH9LJdeox4mjkubjupKF+Mz1nIs199bArYQbRlamMgRMkiEgll3le0Yyleo9Y+GZuOzGsohPiMepDqeQw4b6KqWD/ClwLezkKWQfOhTZBvys2UpnpwNnKeO14k9Ac3IqM6VE4PRk4NwMoHJ/wHWm5AjFxMeg/MbyCjkudL6ATBkyiS5TQlwcvGvVVvTtclq7BrZf9eUTnbmMGYh1z8h4yyyajhBgh7uOgDYkNosWLcLMmTMRGBiIsmXLYsGCBRCiRARyoXITBQoUUESnJ9HOnTsxZswYPHv2DEWKFMGMGTPg6koNOz6T8NAybtw4rFixAsHBwahZsyaExqpFiyZGOAnO+YEDByqc+kL6vuCU7969O4YNG6a0fntqeLMhNaRTKK+9CA9LwkOT0PBGaHyTKj0+Rg53apCXuxzQ/2y6NxA1Ij98D1hTuRcT5Fu5Ena1aqZY8+qrq+h7vC+cMzljb+u96eb55TdLmS2Rnp4IPXIUoVR6Jo4yTZLIjDJOMlJNQCHy3aZSJZiYmWmNLy8kLwTEtqn6eNeIjYm8ToA8pXkT8Qb1d9aHqYkpvLp76SRFOy0kgoY3ROChFzB3sIPz2QswVdJ7Jq11DPrvs4sDH18lZoAJmWAS09LbS7HEawnaF22PcdWkr/UrMRySshfTrvI9I6lq9ZZ5TBw5Sjdpx1GaEBuLx1WrIZ76khXYuQPW1I9JIzo9iZzJ5ESWiTNZoz2IPSnpo0SF3kCLeWJzU2n9chvKITYhFifbn4SjraNKc9I76BUFNwbv3AWHrl2R8++x6V3OIOaLec8YBEC8CY0RYIe7xtDxRH1DgA2pvmlMf+RNelj6bpTLo6PA1k7kcKcH9P5n0r05/4ZFEOZvjoy1qyLvirWprnc98Dp+OvaTopGr0NBVDBIiJSKu30Do0SP4eIyc70FBX9iYZc1KjVYbIWOTJrCpUIGd72IoQMI12aamBJ8xkfBAfmbtH+oPV3dXWJtb41o36kEhMQkNqZ/UrIjY0Bg49myMLKPk8ZIvMSwp2c8lJ1PIc6DvaSBvYkkgKWntvbWY4zkHLQq1wJRaFDXKJBkCbFeTQ894SHYUvzD+GP0R1bdWV/zv9JYCifTywrPOXSBkixa9dFHzZ+UT9GHwIt0vVQdRuRS2WamekvOzgVMTqeyOG5XdWSz9QSIJVOoDpmVJwzw84P/zAJhTCd/CZ8/AxNRUyxz0bzm2q/qnM32RmB3u+qIpljPdCLAhTTeEvIASBEqvL61o0Hem4xlks86W+qhHR8jh3hnIUxHodypdWEbcvAU/ikqgttcotHExMlSsn+p6nq890etoL+S3z4+DbQ6mi6cqk4UoHaHJaugRcr4fP4G4kJAv0wTne8Z69RSlZ2yo5js3XFUFUXmPYZuaUj+MifRn1jvIG233t4VDBgec66yFfhnp3FIQZfkFjv0bZlZxKLxqHEwrcjmZVCGdT+XWgp4CP1H5NafErEkpacvDLZh6bSoa5m+IOS5zpBTF6HmzXU1+BBgP6X8SSc0uTWCC2z1upyuT6i1ldb9bsBAZGzVC3gXU+FRTkllDUE23Ieo8GTaW1WbzXVWxi6dAAO9q1REfHo4C27fBuoz0WWWqyi7WOLarYiHL67LDnc+A0SDAhtRoVK3TjQolkUpvKK3g6dHJA1mssqTO/99DwDZykuetRBF8JzWWUeDnRyWVIm94InOhcORaR6VqcpRIdT2vN17ofqQ78mXMh8NtD2vMU5OJCTExCL9yRVF25uPJk4gPDf2yjKmdHexq11Y4322pjqCZna0mLHiOxAiwTU2pAMZE4kNJ7O+9u4cuh7ooynsJZb6kJEV0O2X4xL58hRzlQpD1L2pkV7KtlCLJl/ciuhvfPQZ60V1ZIGWJNF0Lvsd7D8ZdGofaeWtjcX15RELqGgO58GO7mlwTjIf0J/PFxxdouqcprMyscN2NGj2ng565uSme6XOOHw+HzpQJqykdoV4TV5cBtYYD9f/WdBXDnnd5CXBsFN3D7YH2q2Wx18a7GuNl+Etscd2CUtk1LCekwU4Chg1H6OHDyNq3D3L8/rsGKxjWFLarhqVPOe2GHe5y0gbLIioCbEhFhddoF4+Lj1M0ThLofKfzyGyVOXUsHlKE+XaKbMxbmRzumjuBPp49ixcDfqGU0wQ4N3sNi+EXlTaYu/32NtwOuyGPXR4cbUclbSQihfOdIt8Fx7vQFCr2LTXG+0wmlpaKhj2C892OIuDNsyj5YCGR7MxWOQJsU1Niw5hI/4u5EXgDvY/1RgH7AjjQ5oCkAgVt3YrACRNhbmsG56b+MO26EfihpaQyyZb5kmrAmwdAj31AIRfJxTzkewh/nv8TVXJWwarGqySXx5gFYLuaXPuMh/S/Bp9gH7Te11rR5FJodqkpxYWFU/32qgBliDqfOA7LfPk0XQo4RI7262Sr6pDjve5ozdcx5JnXVgKHybn8Q2ug43pZ7LTl3pZ4GvIUaxqvQaWc9OFZRyRkIwf8NgwW+Z3gfPRourI0dCSyqGzYrooKr1Evzg53o1a/cW2eDalx6VtXu/26w/zFLhdhb2mfOuuH5PjZTjUD81GqfB9KmdeAhOj2p23bIerhQ2QpFQfHH18Dv1wih/uPqa6WFOmZyzYXjrfXjKcGYn53SgI1XP10547C+R564gRi/KhmbxJRDUGb8uW/ON/T9eKhbcF5vRQIsE1NeSgYE+l/KBcDLmLAyQEo5lAMu1rukkygeGry7tOoMWJfv4ZjPXtkyfEv0GUbUKypZDLJmvGyWkDgHaDbbqBIA8lFPeV3CkPPDkWZ7GWwyXWT5PIYswBsV5Nrn/GQ/tdw/919dD7UGY42jjjZQfOs1aQgGou8eVH4pObBOApE9v8PuElO5LpjyOn+h/QgyVGCG2uAg78BxZsDnTfLQsKOBzri4YeHWFJ/CWrlpXtQRyR87PGuXh1CJl7B/ftgVbSojjjLkw3bVXnqxRCkYoe7IWiR96ASAmxIVYKJB6mJQHRcNCpsSmzwdrnLZdhZ2qW+wgNqWrqjOzncKZKlD5WB0YA+nj6DFwMHwtTGBs5tQmAeR5HiAyjCPWfJVFe7/55eCA6m/4VAA1FVmiJ8QIjy9lY434V/ox48TDbP0tkZdi51kNHFBdblysHE3FyldXmQbhBgm5oSZ8ZEN2fve1xOPSdH6RnpHaUfNm7C68mTYZ4zJ5zbx8D03V3ZOJOl11IqEqysBwR4yuajRNKHm+JZimNni52yhMxYhGK7mlzTjIf0J19bPZICp0xB0IaNyNyxI3JNnJC+je0dCHiRE7nBeKAmOZWZUiJwk7LM9v9KH3Ub0328QxYI9TjSA7fe3MJcl7lokF+3H5v9fxmIsDPUf4zeLbP/b7As8JBKCLarUiFv+HzZ4W74OuYdfkaADSkfBTEQiIyNROXNVCaG6GrXq7CxsEmdzf29wM6e1AyuOjWFowaqapLgnH7WqbMiOjxrv77IkbAcCKMI9wGUypoz9Zp/D98/RMeDHZHdOjtOdzytJkfdD49+EYCwU+R8P3UaETdvKlJsk8jU3h52tWqRA96F/lsTZpmVlO7RvdhGy5FtakrVMybS/xzkUAokPjIST6gBXtzbd4l1eT9QI7w394HudA8415UeJDlKsLoR4H8V6ETR5CVaSC6hnEoTSQ6GxAKwXU2uAMZD4gNJ7C8FXMLPJ39GUYei2N2SsnI0JJ/mzRH9xAd55s2DfRNyAqeH9vQH7mwHGk0Cqhu381QpjF5bgb0D6B6uT/fxnvSgrbW5/Y73w5VXVzC11lQ0L0SR9zqkkP378XLESFgWLIhChw8ZdVkZtqs6PHhGxood7kamcGPeLhtSY9a+eHuPiIlAlS1UJoboerfrsDK3Sp3ZfXdyuPcC8tcAeqvfwDTswkX49+0LEysrFCantPlactyHBQI/nwNypd5d/tGHR2h/oD2yWmXF2U5nxQNBhJXjqMlq+MWLCKOa9WEe5xAXHPwfFyo9I0S8J0W/WxYubNQPiSLAr9KSbFNTwsSYqHR0RB0kh2aX79euw5vp02GRJw+cjxyGyQqy+zJqCCqqAjRdfG0zwI8+ILdfK4vGsnJqvqsppIYyj+1qck0yHtKf7NPPT2PImSEona00NjfTrDRJDJUbe1LHBfQAi6KXL6U/kGRnb+A+OZGbTAeqklOZKSUCd6nM3O4+QMHaQE9pe7wkCTf41GCcfXEW46uNR7ui7XSqtbiwMHjXqIkEKoFXcK87rIoX1yl/OTFjuyonbRiWLOxwNyx98m6+gwAbUj4eYiDwMfojqm8l5zeRp5snLM0sU2dzjx6Cd9HDcP6a5HA/pLYoz9zcEHnDE1l69oDjqFHAbHoo+vgK6O8B5E5s2voteQd5o+3+tnDI4IBznckxr6eUEBeHyNt3Ep3v9G/U48fJdmKROzdsKfrdtmYN2FLzKbOMGfV0p/olNtvUlPpiTKQ/w1sebsHUa1PRMH9DzHGZo3OB4sPD8aQhRbd/+IBckychczt6gV5QDvjgS9lNVE7MicqKMaVEYD01k31K91lbavpXuoPkCBnK/Sk5kFoQgO1qchAZDy0cqnQuceTpEYw4N0LR5FJodqkJBe/di1d/joJVyZIouEsLZau2U9nKh1S+0nUWULmfJiIZ/px0Bj+JAdDvHr/j2LNj+LPyn+hWopsYLL675ovB/8NH6qmVtV8/5Bg+TOf85cKQ7apcNGF4crDD3fB0yjtSggAbUj4aYiAQEhWCmtvIiU50q/stmJsqqTN+j1JOd/0EFKCGOL0OqiVKxPXr8OveAyYWFnCmpkoWjo7kcC9BDveX5HA/Sw53cuakQr7Bvmi1rxUyZciEC50pctBAKCYgAB89PBTO94grVxUNf76QmRmsy5aFneB8r1kTVj/+CBOKiGfSPgJsU1Niypho/5ypu+Lae2sxx3MOWhRqgSm1pqg7Pd3j361cibez58DCyQnOhw4q7DbmUtmvEGoQ3ZdKe+VN7PnB9A0Cm+jDxBNqPth6KVC2q+Tw+If6w9XdFdbm1rjW7Zrk8hizAGxXk2uf8ZD+1+Du7Y6/L/2NWnlqYUmDJRoJFDBiBEL3H0DW/v2RY5gWaq5v7QI8ogzaFlTCrEIvjWQy+EkP6f1rOzm181Ip0L7pbFKrJbDGXBiDfT77MLT8UPQpRdH3OqbQI0cQ8NswCI17nU8cN9qMYbarOj54RsSOHe5GpGxj3yobUmM/AeLsP+hTEGpvp9REots9bsPURIlzNx1pjP6DfqXa5qeQuVMn5JowPnEjc34EQl8A/c4AecqnurmnIU/Rcm9LZLTIiEtdL4kDgMSrxkdEIPzaNYRTyZ3w8+cR7eeXTCIzBwfYVq+ucL7b1qgOixw5JJbYcNizTU2pS8ZE+vO99PZSLPFagvZF22NctXE6FUhIz/ap3wBxISHINW0qMrduncj/ywdS5RlJOhVUjsy2dAIeHwVaLgTK95BcwjcRb1B/Z33Fne7V3ctonRCSK4IEYLuaXAuMh/Sncuu/WzHl6hSNM6mEvkzetWsr+nw4rVtH2ZmJpSnTRZspM8j7ONBqMVDOLV1LGezkx5RltqVjYqBS/7Oy2OakK5Ow/dF2/FLmFwwsS41vdUzCe9RjoawM9Z4psHMHrEul3hdMx2LpnB3bVZ1DbjQM2eFuNKrmjbIh5TMgBgLvI9/DZYeLYum7Pe8qZ3GH0kX39KW6gXWobiClfKpI0c+fw6dxE4AezoWGNhkKFUqcObckRUz6k8OdIibzpB4x+Tz0OZq5N4OthS2udL2iIkf9Hhb94gU53y8gjP6NuHwFQnmHrylDsWLkeBdKz1SBTYUKMLW11e8NSyg929SU4DMmEh7Iz6znec7D6nur4VbCDSMrj9SpQO+WLsXb+QsSG5Ad2A8T888ZTzMLA+FvgV/ow6cjfSxlSonqvMF+AAAgAElEQVTANoo6/JeiD5tRGaBKuo/y+1agr7PXbrrdhIUZZSowSYIA29XksDMekhzDZEzX3VuH2Z6zFU0uhWaX6tInKo34tGUrRV+moteuwtRSSTlKdRbeQB94fSkIp80KoAx9wGRKiYCQRSVkU+Ukp/IAeWT+zrw+ExsebEDvkr0xrII0JV0Chg1D6OEjyNK7NxxHjjDKk8N21SjVrpNNs8NdJzAzEzkgwIZUDlowPBneRrxFvZ31FFFwQoS7UrqzgxzuVFOxkAvQY5/KQAROnoKgjRthW7sWnFbQQ3QSfSlRcIpSIyumup7/R0qJ32O8KfEJMTFU+/22wvkuRMB/un9f8eHiC5EzzLp0aUXddxtywAulaLTy0qOydvV7INvUlPpjTKQ/09OuTcPmh5vRt1RfDCk/RGcCCY2enzRoiHj6b+5Zs5CpOTUBTaJp+YFP1Ph50HUge1GdyaRXjISm4kJ93aYzgCo/Sy56dFw0KmxK/Jh9sctF2FvaSy6TsQrAdjW55hkP6X8Jy24vw2KvxWhXpB3GVx+vtkDvKar9zbTpiuxLp1Ur1Z6f6oR1zYFn56nxNNWUL6nb5pva2YAOVvGlLLMN1C8kO5XlHCSPQKQFNxdg5d2V6Fq8K0ZVoR5dElAo1XAPoFru5rlyofCpk0ZZipPtqgQHz0hYssPdSBTN2+SUVD4D4iDwOvw1GuxqoKjdLtRwV0q3twPu/cnhXpcc7ntVEibu40c8qeMCId0v36pVirrkX2geRWcEU03gPhStka9Squu9DHuJxrsbI4NZBtxwu6EST0MeFEtNDMMvXUb4lcuK6HehFvzXJEQa2ZQvT873qrCtVhVWP/wAE6oJz5Q6AvxwmhIXxkT6X8v4S+Ox23s3BpUdhAFlBuhMoLcLF+Hd4sXIUKQwClIzvGS2Y0pegBpsY/BNIKuzzmTSK0a7KQPsLmWCNaa6+9UGSS66UPKhzIYySKB/Tnc4jew22SWXyVgFYLuaXPOMh/S/hPk352PV3VWKJpdCs0t16Xm//ooyiDmojnvWn3qrOz318WsoG/b5ZaDjBuCHVtpZ09BWeXYRWOdK93ARuo/l8V604s4KLLy1UOOPN9pQUXxUFLyr11BkBefftBE2FVMP5NIGL7muwXZVrprRf7nY4a7/OuQdqIgAG1IVgeJhaiEQGB6IhrsawtLUEp7dPZXPvb2NHO4UtedcD+hOUXwqUFIEjGVhZypPcCB5Ddl5pcnhTvXK+1DTn3zU/CcVSpLNwtQCN7uTo4cpGQKK8jOXyflOjVfDr15F3Lt3yf5umjEjbCpVSoyAr1JF4UjjBqz/QcQ2NeUPijGR3siMOj8KB30PYniF4ehVspdOBIoLDk6Mbqca7nnmzYN9k8bJ+U6iRtexn4ChVHYss5NOZNI7Ju6/UCOULUCDCUDNobIQv/LmyoiMjcThtoeRL2M+WchkjEKwXU2udcZD+l/B9GvTsenhJvxU8if8VkG9hqfxnz7hcZWqSCAnZ8H9+2BVVEtZTyvrAwHkRO68FShOTmWmlAj4UwPs1Q0BhwLAkO9kJesQu/X312PWjVloVqgZptWapkPOyVm9HP0XQvbsQeYO7ZHrn38kk0MqxmxXpULe8Pmyw93wdcw7/IwAG1I+CmIgEBAWgCa7m8DKzArX3ahcgDLyIkfCXnIoFG4AuO1OU5SEuDj4NGqsiMLOOXECHDpSk5+vaX5ZIOgp8BM1SHJKvdlSUvS9mYkZvHp4pcnTmAcI0YzRT56QA/6KwvkeQY1Y4ynD4GsyzZRJUfddiPywqVQRViVK/Fej2QjBY5uaUumMifQ/hGFnh+GE3wmMrjIaXYp30YlAb2bPxvuVqyD0iCjoviflh7mJWYH4WGDYQ8A+t05k0jsm+34Fbm0E6o0Fav8uC/FrbauF4KhguLd0R2EHqsPPJAkCbFeTw854SHIMkzGdcHkCdj3epWhyKTS7VIfCKLLdnyLczXPmROEzp7XXkHk59Yh6Rc/6XSlTqGgjdUQynrEBFHy0kjKN7SnrbBiVmZQB7Xi0A/9c+Qf1nepjXt15kkkUfvUanvfsCVM7OxS5cB6mlPVrTMR21Zi0rdu9ssNdt3gzNwkRYEMqIfgGzDqpTrqNuQ2udruqfKe3NgP7qPt8YYqscNuVJiKhx48j4H9DYJY5MwqfPZPywWdBOeCDLzncj5HDvWqq672LfIe6O+rChP650/NOmjx5wH8IJMTG4tPDhwoHfIRQguaWFxIiI5NBZGJjAxuq+y443wUnvBXVgzfNkMFoYGSbmlLVjIn0x3/gyYE4H3AeE6tPRJsibUQXKOb1G2ps3RgJFLWYd+kSZKxLL/Nfk9A3YkLmxP/P708AOy5NkqpSDlKU6A2qPexCNWxd1C/RIIaiG+xsgNcRr7Gt2Tb8mI2b3YqBsSprsl1NjhLjocqpEXfM6POjccD3gKLJpdDsUh1K6s2UuUMHiiSeqM7U749dSmUnX99LzKIVsmmZUiLwit6Flteiezgn3cePZIHQvif7MObiGNTIUwPLGiyTTKaE+HjK1GuA2JevkGfuHNg3bSqZLFIwZrsqBerGwZMd7sahZ94lIcCGlI+BGAj4hfqhuXtz2FnY4XJXqp2ojG5tIoc71aUtQlEn3Sj6JA165uaGyBueyDrgZ+QYmkp6/YLy5HD3AXofAfJXT3W195Hv4bLDRfG3Oz3uaC+KJi3hDfDvQgPWTw8eIIJ0EnHjBiI8PRXNEb8mEwsLhdNdEQFP/1qXKwszihQxVGKbmlKzjIn0p73PsT64FngN02tNh2sh8dPqX40fj+Bt2+n3Xg75t2xOaWfjYoB/siUCM4KykmyySA+SHCU4/AdwjRqD16Lo9voU5S4DEu524Y5f12QdKjgmNlBl0j0CbFeTY8546P4MfssxKZNqVOVR6Fqiq1oC+TRugmg/P+RZuAD2DSkIR1u0iMpLviMncs8DQMHa2lrVsNZ5Q1lmSyhIyYayzkZQ0JIM6Oizo/jD4w9UdKyItU3WSirRm7nz8H75ctjVqYN8y6Vz/ksBAttVKVA3Dp7scDcOPfMuCQE2pHwMxEDgachTtNzbEvaW9rjYhZrxKKOblCq/n1Lmi1Bt3247vitK5L37eNa+PWBuTt3iT8HCMUfK8Qvp5f89RUv2OgwU+KqZ6lcjgz8Fo9Z2iuQg8uruBTNTbgCqrTMgRIJEeXsj4rrgfKd/yQkf9zZ5DXiYmlLd9yIKx7u1EAlPDjkLJyeD+fDBNjXlaWJMtPUL03ydboe74c7bO5hfdz7qOYkb5Sc4TXyaNaf67LHKG43FUGbMZIqmE2jUCyBDRs03Z8gzj44GriwGatAH5oZUx10G1H5/ezwKeoTlDZajep7UP2zLQEyDF4HtanIVMx7SH/lBpwbh3ItzmFB9AtoWaauyQNHPnyvKRQrP90Upe1KrQRlfAnGOUiBONZVlMqqB77yBRdQQ1CoT8OdzWWz9rP9ZDD49GKWylcKWZlR+VEKK8vWFr2szwMwMRc55wDwrfZgwEmK7aiSKlmCb7HCXAHRmKQ0CbEilwd3QufoE+6D1vtbInCEzznc+r3y7NzeQw30w1VWkFL2u1ED1OxQwYgRC9x+AfYsWyDNzRuojF1WiSJbH5HA/RA73mqmOCYkKQc1tiX+76XYTFmYWhq4OyfYn1ICPIeebIvpdcMLTf4X6+9+SmYODIhI20QFfFlYlS8LU2loyudPDmG1qSvQYk/ScKO3Mbbe/HR4HPdaJkzRg+O8IPXQItrVrwWkFRWenRp8oE2ba54abf70GLIyrLqrKWj3xN3BxPlCNPkw3nqzyNDEHJn28EerqCvV1maRBgO1qctwZD2nO4ddc+x7ri6uBVxVNLoVml6rSh82b8fqfSVSKsBLyb6T3Am3SvFJAMDmR+54C8pJTmSklAh8oy2wB9cCysAX+eikLhC6/vIz+J/qjiEMR7Gm5R3KZnnboiE9378Jx9Chk6dFDcnl0JQDbVV0hbXx82OFufDo32h2zITVa1Yu6ce8gb7Td3xZZrLLAo5OHcl6e64ADQ4BiVOKgy1al44R6wEINPVAJkwK7dsG6pJK6sV9SRw9S6mhiFPu3FBYdhmpbE6NcbrjdQAYz46kvLqrSVVxc0GWkl1fiv7du4dP9+xBK0yQjinKyKl5c4YBXRMKXKQuLPLn1IgqebWrKg8CYqPjjEHGYrsqACD0enrZJjGwUGqUKTZRTpYgPwIyCiX8a+54ix8xF3L0eL32Kahmfnw1UGQA0nS6Ljei6PJEsNi1DIdiuJlcK4yH9IXU77Ibbb28rmlyq8zHO/+cBCPPwQPbhw5CtXz/tbmTOD5TOTYEe/c8CuanPE1NKBEIoy2wuvVeZWdJ9/FYWCHm98UL3I93hlNEJh9pSEJXE9GETfRSaNAlWP/yAgnt2SyyN7tizXdUd1sbGiR3uxqZxI94vG1IjVr6IW3/04RHaH2iPbNbZcKbjGeWcblBdvoOUKl+MImG6KE8ZfDOP6uctWw7rChVQYDPVfVdGi6sAb/8FeuwHCtVJdVRETASqbKFxRNe6XYO1uX5GUouoPp0uHR8drXC6R3rd/uKEj33zJoUMZpTCaV2qFNWDL5X4X4qCN6fIeLkR29SUGmFMpD+lump0+fznnxHucQ72rq7IM4ccxcoojH7js4ok/nVcMOhrmvQgyVGCM1MBj2lAxT5A8zmykFDXDXhlsWkZCsF2NblSGA/pD2lSuSmhyaXQ7FIVio+KwuOq1ZAQGYmC+/bCqlgxVaapPmYm3TPhdN8MoPKWOUuqPs+YRn4MBGYT7iamdB8HyWLnD98/RMeDHZHDOgdOdaTsBIkpNigI3rXpvZIChASHu+B4NwZiu2oMWpZmj+xwlwZ35ioBAmxIJQDdCFh+eVCyoQelDt95ULqxhhzuvwHFqd5v582pIhP/6ROeuNRFXHAw8syfD/vG1GBVGS2mpj9vqflPj33kcHdJddSn2E+otJlKzxBd6XoFtkIKJZNsEBDK0MS+eoUIin5XOOGFKPh/6SMK1YP+loTa74Lz3Vpwwpcvr3DCm0jsuGObmvIoMSbS/7xqbauF4KhguLd0R2GHwqIIFHH9Ovy6U6o1Zag4HzoIy/z5lfMJpbT1ORT9bkqR7X9ThDtT6gh4zATOTALK9wRaLpAFSkmNEUdXGY0uxbvIQiZjFILtanKtMx7S/wpauLfAs9BnWNt4LSrmVK18S9jFi/Dv0xfmOXKgsMdZ7T/DTadMqkjKqBp4FchRXHqQ5ChBON3BMwslSvY3Odyp15LU5Bvii1Z7W6XdC0yHgr747Td8PHIUmbt0Rq5x43TIWTpWbFelw97QObPD3dA1zPv7ggAbUj4MYiBw//19dD7YGTltc+JE+xPKWVxfDRwa9l2He9DOnQgc+zeVFMkD5+PHYEJNa5TSEioV8+YB0H0v4Fw31WHRcdGosImaqxJd6nIJGS25WZ8YZ0CbawoRUFFUqiLyzl1EUg3FT3fuQGjM+C1Z5M2LbL8MQKa2bbX/0qbihtimpgSKMVHx8Ig4rPLmyoiMjcThtoeRL+Pn2ula5Cd8KPPr2k3xgSxz507INX7891cPot/v/NLknKcMozEUXceUOgIX5gInCcuy3YDWS2SB0qjzo3DQ9yCGVxiOXiV7yUImYxSC7WpyrTMe0v8KGu5qiMDwQGxtthUls6kWTf566jR8WL8emdq1Re7JIvSpmEr3XRT1DBl8E8jqLD1IcpQgkrLMpn/+QD6GSsqYU2kZiell2Es03t1YUfZTKP8pBwq/dAnPf+oDUzs7RfNUUxsbOYglqgxsV0WF16gXZ4e7UavfuDbPhtS49K2r3d59exddD3dFbtvcONb+mHK211YCh38HSrQEOm1MMU5w4jxt2RJR3k+QY+RIZO2dxsv9UkphfX2PHO7u5HCvlyrfmPgYlN9YXvG3C50vIFOGTLqChfloEQEh4yHy3n1qYnQHkbfvIOLaNcRHRCg42FavjtyzZ0lScoZtakolMyZaPPgaLCXY0TIbyiCB/jnd4TSy22TXYJXvTwk9cQIBg/8HEysrOB87BgvHHN+f8N4HWEh2OIM9MMpf6/IYzIKXFgHH/wJKdQTa0X0pAxp/aTx2e+/GoLKDMKAM1ZZnkgQBtqvJYWc8JDmGyZjW3lYbQVFBiiaXQrNLVcjHtRmifX2Rh0pH2jdprMoU9cZMykkZkpHAkDuAw3eyrtRb1bBGR4cDU3In7mk0ZZ9ZSp/5+z7yPVx2uChEutPjjmRBNF8rOiE+Hj6NmyDG3x+5pkxB5rZtDOscpLIbtqsGr2LJNsgOd8mgZ8a6RoANqa4RNw5+QtMkoXlSXru8ONLuiPJNJzncf2gFdNyQYlxSqqkQRSCkmpplTCMafWlNcrjfBdyoo33h+qnyjU+IVzifBDrX6RwcrORXB9w4Tol2dxlP9T+DtmzB20WLFbVALXLnRt5FC3VeZ5Ftakq9MibaPevqriZ2Vk8C9WHwadECMX7PkZUyTHIMoUbYadHbR8DiyoA12d+Rz9Iabbx/v7IMODoS+JEa0XagnicyoOnXpmPTw03oW6ovhpRXQdcykNkQRWC7mlyrjIf0p1zdTKroFwHwadCAmnWaoejlSzCzpw+w2qaJ2QAKtMFvlP2aKY+2VzeM9WKjgUmfP8SPpOwz68yS7+vrflvXu12HlbmV5DIJArxbvgJv586FdblyKLBVee8xWQirBSHYrmoBRF4iVQTY4c4Hw2gQYENqNKrW6UZvvbmFHkd6pN1d/uoK4MgfwA+tyeG+PoWMSQ34HLp3R86/Rqe9h2XkcA8kh3s36iBfhB7iUyEh2rP0BiplQCQ0dBUauzIZDgKfHj/Gi18HI+b5c5hkyIDcs2bCvmFDnW2QbWpKqBkTnR2/VBmFRIWg5jayjUQ33W7CwsxCqwJ92LgJr6kUgNDYWIhuN7NTIToukDKRllFGki1Fwv/hrVV5DGqx66uo7NpwygJrQVlg32kYrsNNz/Och9X3VsOthBtGVqaPAUySIMB2NTnsjIckx/ALU00yqYK2bkXghImwrlABBTaLYN/oeR8TPjuPf6d7xi6NzCtpIZSOO0VuY+Ln4KM/fOleziqdLJ85x8XHoezGsor/db7TeWS2kv4jgCBLzJs3eFKXMqjj4lDowH5kKKJaJofkgGooANtVDYHjaWkiwA73NCHiAYaCABtSQ9GkvPbh+doTvY72QgH7AjjQ5oBy4a4uJ4f7CIreo7S8DuuSjYvyfQpfV1dQHiGcjx75fgO+pJnLapHDndJGu+0ih7tyJ6sQ4S5EuotVXkFe2jA+aeJCQhDwxx8IP3deETmVe+oUZKLSRLogtqkpUWZMdHHylPN4E/EG9XfWh6mJKby6e2k1NTsuNBQ+jRormlrnpLrtDlS/XSV66QWsqANkpDT24dTomil1BDzpXjxAUeTF6C7sslUWKC29vRRLvJagfdH2GFfNOBrHyQL4b4Rgu5ocEMZD2lP6dSbVxS4XFc0u06Ln/fsrntOyDx+GbP36pTVc/b+T0xYTsyTOG/EUsPn8f6u/kuHPmEAOd3ovwnDKPstIZXhkQOU2lkNsfKyiF5jQE0wu5P/rrwg7eQoOPSgYbLQKwWByEVwDOdiuagAaT1EJAXa4qwQTDzIEBNiQGoIW5beH64HX8dOxn1AoUyHsa71PuYBJ6fIl2wHt1yQb92rCBARv3Qa7evWQb8li1Ta5nBw4r8iR03UnULSR0jnlNtBDXEIsTrY/CUdbR9XW5lF6hUBCbCxejRmLkL3UQJc+2uQc9zc5AzuLvge2qSkhZkxEP3bfZeAf6g9Xd1dYU4PSa92uaVWYN7Nm4f2q1bB0dkahfXthYm6u2vovqAnaKir7ldkJGEpZSUypI3BrM7BvIJVIow/IbvQhWQa09t5azPGcgxaFWmBKrSkykMg4RWC7mlzvjIe0v4PQ6FDU2EpZS0Sebp6wNPt+48348HA8rloNCTExKHToIDLQHaJ1ivkETP78jP8n9QqxSvsjgNZl0JcF/6GSMnFUWua3+1R6J68spK62pRrCYsJwsM1B5LeXT/39sPPn4d+vP0ypzGmRs2dgaqtCVp8sEFVfCLar6mPGM1RDgB3uquHEowwAATakBqBEGW7h6qur6Hu8LwpnLgz3VtTAVBldXgIcGwWUbE8O99VfRgnRkt6UsifU4nZatw62VauotssVLsDLW+Rw30EOd+XNlypsrIDo+Ggcb3ccuexyqbY2j9I7BIQGR68nTVbUdhco16R/kLk9nTURiW1qSnAZExEPnApLewd5o+3+tnDI4IBznc+pMEO1ITEBVH+3qSuEGu55ly1FRheyv6qS32VgbRMgSyHgf2SzmVJH4PZ2wL0/UIiw7fGdj9c6xG/Lwy2Yem0qGuZviDkuc3TImVl9jQDb1eTngfGQ9vfxNuIt6u2sBxP653aP22lmUoUeP46A/w2BRX4nymI9muZ4jXYX9RGY+tl5PPoVNQO10WgZo5g0mbLNYqh56v8oaClLQVls2WW7C95/eo9dLXahWJZispBJEEJ4t/ClZ59oP7/EYJ4uXWQjm7YFYbuqbUR5vSQE2OHOZ8FoEGBDajSq1ulGL7+8jP4n+qOoQ1Hsbkn11JXRZYpcP0bpeKU6AO2oVu1ner9qFd7Mmo0MxYujoPse1R/EV9Qlh/tNSr0nJ0UxcuYooUqbKuFT3CccbXcUeey4iZJOD4eOmQl1Rd/MmIkPa6nhIEW655kzG/ZNm4omBdvUlNAyJqIdN5UWvvfuHroc6qJIyRZSs7VFAX+MQOiBA7CpWhVOa9eobqcFAZ5Suaf1zYFs9BL9q3aj7rW1P1msc4/uz10/AQWoXFqvg7IQaY/3Hoy7NA6189bG4voqZp/JQnLDEoLtanJ9Mh7Snm//j5RJtUf1TKqXf45SZCBm6dULjn+K1AsiMgiYXiARmLHvqMSgdvuXSIu4lrlPpWwz6veCXyn7LJs86pI32d0EAWEB2Oy6GaWzJ/bekgt92LARr6dMSczuO3hAvecfuWxCBTnYrqoAEg/RCAF2uGsEG0/SRwTYkOqj1uQv88WAixhwcgCKZymOnS2ovIsyurQIOP4XOdw7ksN9pWKUkF76pGEjxAYGIhc9zGRuS/XdVaWV1MgmwBPoTLVui1PNWyVUeXNlRMZG4nCbw8hnn0/V1XmcniIgON0Dx41H8A7KfKCSF/kWL4JdHSo/JAKxTU0JKmMiwkFTY8kbgTfQ+1jvtHtqqLFm5N17eNaBPpTSR6yCu3fB6ocf1JhNQ31OAxvJtjuWBH65qN5cYxr9YD+wozuQryrQ55gsdn7Y9zBGnh+JKjmrYFXj/z6Uy0I4IxKC7WpyZTMe0h7+J0FP0GZ/G5UyqRKo4aR3jZqK3h9OG9bDtnJlcYQPewvMKpy49rhgxX3FpASBGZRtFvEeGHgFyFFCFjC13tsaPiE+WNN4DSrlrCQLmZKEiAsLw5PadRAfEQGnNathW726rOTTljBsV7WFJK/zLQLscOczYTQIsCE1GlXrdKPnX5zHwFMD8UPWH7C9OUWbK6NLC8nhPgYoTY322q5QjAo9fBgBw4bDLGtWFD59CqYZMqgu+0qqCRxA0RmdqYRI8WZK58m1LqDqG+WR6iIgvOC9HPknQg8ehAmdqXwrV4jyksc2NaVmGBN1T6t2x18IuIBfTv6S9gdQFdkKH7D8urkh8uZNZGrVCrmnT1Nx5lfDvCnSfjOVd8pVBvhZe2Vu1BdE5jP+PQxso3T1PBWBfqdkIeyp56cw9MxQRcShEHnIJA0CbFeT4854SHMOk7iqk0kV4empuENMM2VC0YsXVO/9oe4WQ6mMzJzi5Gg3I4f7B3VnG9f4WZRtFhZI9zFln+WSRzR5p4Od8OD9A0UmlZBRJTcKFEpWbtoEu7p1kW8plUg1QGK7aoBKlcmW2OEuE0WwGOIjwIZUfIyNkYOHvwd+Pf0rSmYtia3NKdpcGV2cD5z4GyhDDoU2yxSjnnXqjMjbt5GNusBn/3WQevCtosZyL6g8QSdyApSgcgVKqPrW6vgY/VHR0FVo7MpkHAgI2RMvqGZo2JnEJkf5t2yGVTHt1oVkm5ryLDEm0v6+TvmRg/TsUJTJXgabXDelW5iQ/fvxcsRImNjYwPnwIVjkzKn+mjJ0JKu/CR3MkOGHiaQMtmIOxbCrpTwauepAE7JjwXY1uUoYD2mPqDqZVEnNtu1btECemTPEEzz4OTCvFGU2WgFjXovHxxBWnvMjRTy9oA+7Z+gDb3lZ7KjnkZ64+eamoleI0DNEbhT19KmilruQOeF87Cgsnagsj4ER21UDU6iMtsMOdxkpg0URFwE2pOLia6yrn3l+Bv8787+0I+AuzANOjiOHe1dyuC9FpJcXnnXuAhMLCxQ+cxrm2bKpB+HqRoD/VXK4k1OpRAulc2ttq4XgqGDsbbUXzpmd1ePBo/UagfioKPj37YeI69dh7uiIAtu3aeYwVIIC21R2uMvtB3LI9xD+PP+nVkqACGnUPtQDIe7tO2QfNgzZ+vfTbLsyLJWi2UZEniXD0jvqONZERseol+e7hh3ucvoBqPMhzse1GaJ9fZFn7hxRe+rggy+woBw1S7UDRgfICS75yTKfss2CnlHpMso+yydSiR81d93/eH9cfnUZU2pOQQtn5e90ai6r1eHP+/dH+LnzcOjWDTnHUsa2gRHfMwamUBlthx3uMlIGiyIuAmxIxcXXWFdPSjkvm70sNrpuVA7DhbnkcB8PlO0GtF5CpWSGUUmZI8jUpg1yT52iPnyrG5PDneoPdiSeP7RUOr/O9jr48OkD9rTcgyIO8mgOpP5meYamCMSFhOAZPRxHP/FBhqJFkX/zJphlzKjpcsnmsU1NCSNjopWjpfEi2mxy+VpoQLxmDSzz50fBA/thammpmVwybAaq2UZEniXD5rLqlKAPqQwAACAASURBVI4QGR2jXp7tanL1Mx7S/hxULTX1JSqYAmuKXrqotWevVHf/9jGwmGp/W2UG/vSTFiC5c19YAXj/hJpzUxmzAjVkIe3g04Nx1v8sxlUbh/ZFqQSdDCn88mU87/0TTKysFGVQzbNkkaGUmovEdlVz7Hjm9xFghzufEKNBgA2p0ahapxs94XcCw84OQ/kc5bG+6XrlvM/PAU5NIIe7G2KqjMGTBpQySLW2C+51h1VxqruoLq1pAjy/DHQgnj+2Vjq77o66eBf5Drta7EKxLNotKaKuyDxeGgRiAgLwtHNnRaSubfVqyLd8uSKzIr3ENjUlgoxJek9V+uZvebgFU69NVaRkC6nZmlKUjw98W5FdjY1FvhXLYVc7HTVVb1NvD/f+QCEXoMc+TUUy/Hl+dJ+tpXstC5U++98tWezXO8gbbfe3Vak5oiwENlAh2K4mVyzjIe1BV7WZ8rtly/F23jzY1qgBp9UiN11+fR9YSs0sbShbdoSPtADJnftiasz99iHdx9Sou1AdWUg7wmMEjjw7gj8r/4luJSgwS4Yk9LR51qEjPt27h6y/DECOIUNkKKXmIrFd1Rw7nvl9BNjhzifEaBBgQ2o0qtbpRo89O4bfPX5HRceK5CtYq5z3uVnA6X+Act3x+l8nfFi7FjZVqiD/+nWaybuWaun5XSSHO83/sY3SNervqI83kW+wo/kOlMhaQjNePEvvEYi8fx9+3XsgISJCkVWRa8pkKsVokq59sU1NCR9jkq4jle7Ja++txRzPOWhRqAWm1NIgc4gkEF4q/fv0Qfily7CrVw/5lixOn1y3qM/GvoFAYfrI6sZ1wJWC+YKagK+iZuCZqTbs0Lvpw1xLs/1D/eHq7gprc2tc60Y9U5gkQYDtanLYGQ9JjuEXpqpmUvm2aYuohw+R85+JcOjQQVyhX90GltOH4Yy5gOH/istL31dfVhMIpDvGbTfdyw1ksZuxF8di75O9GFJ+CPqW6isLmVITIvT4cQRQfyhTe3tFlLuZHZUwMhBiu2ogipThNtjhLkOlsEjiIMCGVBxcjX3VI0+PYMS5EWnXDD43kxzukxBXoiuezLiO+PDw9EVOrm1GDvcLQHty8pdsq1QNDXc1RGB4ILY124Yfs1GjICajRSDMwwP+A6k5L2VWZBs0CNkH/5ouLNimpoSPMUnXkUr35KW3l2KJ1xJ0KNoBf1ejJtUaUNILpQmVkCl06CAs8+XTYJWvpniuAw5QJFgx+kja5TuNtdPHRf9nv/QCVlC0Ycbc5DCi6EMZ0NuIt6i3sx5MTUzh1d0r3R8pZbAlvRSB7WpytTEe0h5jVTKpov384NOYMnbMzFDkwnmYOziIK/QLT/pgWQ/IRB8sf5PHB0txN5yO1Ve4AC8pi6rrDqAoleeUAU26MgnbH23HgDIDMKgsPafLlBLi4+HbrDmiqYlqjj9+R1YKTjAUYrtqKJqU3z7Y4S4/nbBEIiHAhlQkYI182aQmfVVzVcXKRiuVo+FBDvczk/D+Yx28OeQNy8LOKHTggOYv8OuaA8/Ok8N9DTnc2ynl23hXY7wMf4ktrltQKnspI9cWbz9o+w4EjqPmvUS5pk5F5jbKyxGlhRbb1JQIMSZpnRpx/z7Xcy7W3FsDtxJuGFl5pNrM4iMjFS+TMS9fai9l+jqVEjg0PLG5tdDkmil1BALvAcuonq5tDuAPb1mgFBodihpbE2v8erp5wtJMwzr+stiN/grBdjW57hgPac+yKplU75avwNu5c6mMX3U4rVktvsDPrwJrGgEOBYEh9PGSSTkCqyjb7AVlLHWi7LMS9C4lA5p1fRbWP1iP3j/2xrCKw2QgkXIRgnfvwau//oJZ9mwofPIkTDNkkLW8qgrHdlVVpHicugiww11dxHi83iLAhlRvVSdrwQ/4HMDoC6NRPXd1LG+4XLmsHjOQcHIynhwviNiQKOSaPBmZ2ymPTE9z00kO93b0IF9KeYOdJrubICAsABubbkTZHGXTXJYHGD4Cb2bPwfuV9HGI6rg70X9tq1bRaNNsU1PCxphodJS0NmnatWnY/HCzIiVbSM1Wl17PpEapq9fAPFcuOB8+BFNra3WXSDn+yjLgKDn/fyR73+E7ZcfSz0m/V3j7iJr+VQasKRJ05DNZ7CU6LhoVNlGDPaKLXS7C3tJeFnIZmxBsV5NrnPGQ9heQlEklNLcUmlymRr5tqZzMAyonM3ECHDp2FF/gZ5Txuo4yX7MVBX69Lj4/feawpin1wLqUZklOXW5x4a2FWHFnBboU74LRVUbrkrXavBKio/GkUWPEBgbCkRzvWbq7qb2GHCewXZWjVgxDJna4G4YeeRcqIMCGVAWQeIjaCOx7sg9jLo5BzTw1sbTBUuXzz05HyLq5eHnFITEq4NQpmFLJAo1pPUVLPj0HtKXoydLKa0M229MMzz8+x4amG1AuRzmN2fFEw0FASAkNGD4cH48cVdRhLLB1CzI4O6u9QbapKSFjTNQ+RlqdMP7SeOz23q1IyRZSs9WhyLv38KxTJ4B+H3mXLkHGunXVma587KWFwPEx9GGUnC7tvpMFpR1u+rvKe2r0t7A8YJkRGP1CFvsQ6vmX2VAGCfTP6Q6nkd0muyzkMjYh2K4m1zjjIe0vYJ7nPKy+t1ppJlX08+fwIYekzsrJCHD4nAE2UsZijh+AgdSAmkk5AknvT2kELOkSwpV3VmLBrQVoW6QtJlSfoEvWGvEK2rYNgeMnwCwbvc8ePwZTGxuN1pHTJLarctKGYcnCDnfD0ifv5jsIsCHl4yEGAu7e7vj70t+onbc2FtdX3lwv4fQUPB29BlHBFsj+22/I9nP/9ImzoRXge5Yc7uTAKa08eqaFews8C32GdU3WoYJjYqQeEyMQ/+kTnvfqjUgvL1jkzYsCO3eoXWOUbWrKc8SYSPvbGnV+FA76HsTwCsPRq2QvlYURIraetu+AqMePYd+8OfLMohJg2qILc4GT44Gy3YDWS7S1quGtE+QHzC8NUINSjAmUzf4qb66MyNhIHG57GPkyprOev2x2pV+CsF1Nri/GQ9rzO/3adGx6uElpJtW7FSvxds4cKidTjcrJUNlHXZD3SWAzlZfMSTZ0AJWbZFKOwEbKNvM5RfcxZZ+V7SILpDY+2IgZ12fAtaArpteeLguZvieE8MzkI5Tf8/dH9mHDkK1/P9nLnJaAbFfTQoj/rikC7HDXFDmep3cIsCHVO5XphcC7H+/G+Mvj4ZLPBQvrUSSjEgpfMhjPF5yEiSU1UDp3AWaZM6dvfxsoksWXIlrarADKUFSmEmq1txV8Q3yxpvEaVMpZKX08ebZBIRD74QNF9HaGXZ06cBz1J0youZc6xDY1JVqMiTonSPtjh50dhhN+JxQp2UJqtqr0dskSvFuwEGbU2E5olGqeJYuqU9Me97l/B8r3AFoqvyPSXsjAR4QEAHMpOtPUHPj7vWw2W2tbLQRHBcO9pTsKOxSWjVzGJAjb1eTaZjykPf1pZVI9bdcen+7fR87x4+HQWfnzuVZ38egIsLUzkJuyhPrTuwGTcgQ2U5CS9zG6jxcB5bvLAqkdj3bgnyv/oF6+ephfb74sZEpLiJD9+/FyxEhFpmzhkydgRv/VZ2K7qs/ak7fs7HCXt35YOi0iwIZUi2DyUl8Q2Pl4JyZenpjmQ9LztvUQ/uAVHGoVQM6V9GCcXtrYhiI0TpPDnerGl6GHbCXUZl8bPAl+glWNVqFKLs1qdadXVJ4vXwTiQkJglimTRgKyTU0JG2Oi0VHS2qSBJwfifMB5TKw+EW2KkI1UgaKePIFvG4p4i4lB7lmzkKk51cHVJp2ZCnhMAyr2AZrP0ebKhrVW2BtgVpHEPY0LBnUUl8X+Gu5qiMDwQGxrtg0/ZvtRFjIZmxBsV5NrnPGQ9hfwvUyqKN+n8HV1TSwnc84D5lmz6kbYhweA7VRLOx895/c5rhue+splG2Wb/XuQ7mPKPqv4kyx2sd9nP/668Bdq5K6BZQ0p8l4PKCEuDk9bt0GUtzeyDvgZOYYO1QOplYvIdlWv1Sdr4dnhLmv1sHDaRIANqTbR5LWSENj+73ZMujoJDfM3xByX1J0pkRTp8owiXmCSAOfR9WHZXXnpGZWR/ZISSXXjy3ZVOq3d/nZ4HPRY0dBVaOzKxAhoCwG2qSmRZEy0dbo0W6fPsT64FngNM2rPQNOC1BgtDRJeGP26dkPk7duwc3FR1G430baj99RE4PxsoArVlG8q/1TxtDAT7e8RH4AZBROXH0sR7mYU6S4D4rJs0iuB7WpyHTAe0p7J72VSvZk3D++XLYdtndpwWk4BMbqie3uAXb2B/DWB3od0xVU/+eygbLMH++g+ptJxVdJZ3lNLCBx7dgy/e/yuKP0plADVF/pI/cheDPoVJtRg3vnoEVg4OuqL6CnkZLuqt6qTveDscJe9ilhAbSHAhlRbSPI6XyOw9d+tmHJ1Chrlb4TZLuRUSYX86WEkjB5K7PNHIM9QikbXhtNlEznwn5wAWlFN4HIUraGEOhzogH8//ItlDZahRp4arDxGQGsIsE1NCSVjorXjpdFC3Q51w513dzC/7nzUc6qX5hofNmzA6ylTYWpnh0IHD8AiZ84056g94MTfwEVKEa/2K9B4strTjWbCp1Bg2uca6X+9BiysZLH19vvb41HQI75DJdQG29Xk4DMeEh5GYq0sk0poSO/ToCFiXr5EnjmzYS9EuuuK7uwE9vQFCtYBeu7XFVf95LOLss3u7aL7mLLPqg2UxR48/D3w6+lfUTJrSWxtvlUWMqkihNBY3K+bGyJv3oR9s2bIM3uWKtNkOYbtqizVYhBCscPdINTIm1AFATakqqDEY9RFYPPDzZh2bRqaFmiKGXVmpJj+6eFDPBXKFVB2fKGmb5ChITWWaUrlBdJLmztQDUJKG21F0fLlKI1UCXU62AkP3j9QNHQVGrsyMQLaQoBtakokGRNtnS7N1vmS0dOAMnryfD+jJ8rHB0Kt3QRqIJxzwgQ4dFLefFozaT7POjoauEJ2ugalWzeckK6lDHpyTCQw+fMHj1EvgAwZZbHdbofpI87bO5hXdx7qO9WXhUzGJgTb1eQaZzyk/QUoy6QKv3YNz3v0VHzALXLhPEytdPjR0GsLsPcXoHADwG23tADJnbs7ZZvdJqd2Q8o+qzFEFtJefXUVfY/3ReHMheHeyl0WMqkqxKcHDxTPUiDnu9OG9bCtXFnVqbIax3ZVVuowKGHY4W5Q6uTNfA8BNqR8PsRAIK3O8i8G/w8fT5yAfQUn5ClyBahK0RRNKKoivaRi058uB7vg3vt7WFRvEerko8gXJkZASwiwTU0JJGOipcOl4TLN3ZvDL9RPkZItpGYro/joaEXD4Cj6IGpbvTryrVoJE1NTDbmmMe3wH8A1am5d63eg/lhxeBjCqnExwD/ZEncy4ilgo8XGtenAJ8m5Nr3WdLgW0mHEajpkNrSpbFeTa5TxkPaEK8ukejlmDEJ27Uam9u2Qe9Ik3QrpuR448D+gaBOg63bd8tY3bvsGAbc20X1M2We1hstCeq83Xuh+pDvy2uXFkXZa6POl4129oqCF4K3bkKFIERR03wMTc3mUhFMHBrar6qDFY9VBgB3u6qDFY/UaATakeq0+2Qq//v56zLoxC80LNcfUWskd6Z8ePcbTVq0Uzd8KjWqEDL5ryeFOD3pNpqR/P1s6AY+PAi0XAuWpHqESSnoxWFB3Aeo61U0/X16BEfiMANvUlEeBMZH259FgZwO8jnidZoPL19Nn4MPatTBzcEDBfXthkSOHeIIf/A24sQZwGUX//ikeH31fmaLjMCFz4i5+fwLYZZfFjjRpxCsLwQ1ICLaryZXJeEh7uFPLpIoLC8eT2rURHxGB/Bs3wKZSJd0KeX01cGgYULw50HmzbnnrG7cDlG3mSe9jLpR95jJSFtILpT+FEqDZrbPjdMfTspBJHSHigoPh06QphP86jh6FLD2Uv5eqs64ux7Jd1SXaxsWLHe7GpW+j3i0bUqNWv2ibX3tvLeZ4zkFL55aYXDN5fd4XgwdTdPtJZGzaBHldKT1em3V8t1At+McUBdGCagNX6KV0f90Pd4fXWy/Mc6F0+PycDi/aQTDChdmmssNdbse+1rZaCI4KhntLdxR2KJyqeGEeHvD/mVLKifIuWYyM9dKu9Z6ufe6j2u23NgL1xgC1KdqdSTkCEyiqPSEOGPYQsM8tC6S+1yBRFgIagRB81yRXMuMh7aFPLZMqaOtWBE6YCMtChVDo0EHtN99Oa8tXqUHrkRHAD62BjhTtzqQcgUOUbXZ9ZeJ9LNzLMqCnIU/Rcm9LZLTMiEtdLslAIvVFCNq+A4HjxsHUxgaFDuyHRZ486i8i4Qy2qxKCb+Cs2eFu4Arm7f2HABtSPg1iILD67mrMuzkPrQu3xj81/vnCIuL6dfh1py/8VKag0P59FN2+DrhE0ejVBwONtJBqurUr8OgQ0HweULG30q31PNITN9/cxByXOWiYv6EYEPCaRooA29SUimdMpP0xVN5cGZGxkTjS9gjyZsybQphof39FrdH40FA4dO2KnH/roMSLO9XVvU31dRtQ/faaFFnHpByBSY5A7Cdg6F0gs5MskBp9fjQO+B7A8ArD0atkL1nIZGxCsF1NrnHGQ9pfwLeZVELjyKetWiPq8WOK7h1N0b3ddS/gZeoTcowitktRf6d2q3TPX584HqVssytL6D6m7LMG42Uh+auwV2i0uxEsTS3h2d1TFjKpK0RCXBz8qIdBpKcnbKpWhdOa1eKV6lNXOBXGs11VASQeohEC7HDXCDaepI8IsCHVR63JX+aVd1Ziwa0FaFekHcZXT3xwS4iPx7OOnfDp3j1k7twJucbT///YX8DlReRwpxqLjf5zzGu8w23dgH8PksN9Ljncf1K6TO+jvXHj9Q3MrDMTTQpQbUcmRkBLCLBNTQkkY6Klw6XBMoLTo8yGMkigf850PINs1p/rgX9eK56aoz7r0lVRt92qTGlK+98IU0tLDTipOWV3X+DuTqAxlRKrRiXFmJQjMIU+kkR/BAbfBLI6ywKpCZcnYNfjXRhUdhAGlEnMjGDSLQJsV5PjzXjo9vx9y+3bTKqImzfh17UbTKytUcTjLMzs7XUv4AUKvjk5DihDwThtluqevz5xPE4f2i8toPuYss8aJ89MlmobHz59QJ3tiX22bve4DVMTkXrKiLzBaD8/+NLHJ6EZvSP1NMjiRu+qekJsV/VEUXooJjvc9VBpLLJmCLAh1Qw3nvV9BJbfXo5FXovQvmh7jKtGD7tEIfv34+WIkTC1tYXz8WMwz5r1P4d7jSFAw4nphzXJ4d5sDlCpj9L1khq+zag9A00LNk0/X16BEfiMANvUlEeBMZHu5xEVF4WKmyoqBBBSsoXU7CQSPoK+/P0PhB4+DLMsWVBwz25Y5MypG2F39AQe7AWazgCq/KwbnvrKZVp+4FMwMOgakL2YLHYx/dp0bHq4CX1K9sHQCpyhIIVS2K4mR53xkOIU/sfz20yqgGHDFXeLJM1Sk8Q6NxM4Tdmz5Si6vhUF9zApR+AkZZtdoHenKpR91nSaLJCKiIlAlS1VFLJc63YN1ubWspBLEyE+bNyE15Mnw4QCGgps2wqrH37QZBmdz2G7qnPIjYYhO9yNRtW8UTakfAbEQGCp11Isub0EnYp1wpiqYyBEUfo0dUXsq1fI/ttvyPZz/0S2RynV8wqlfNagF/aG9LCXXtruBjw8ADSbTQ53iqBUQv2O98OVV1cUDV2Fxq5MjIC2EGCbmhJJxkRbp0v9dUKiQlBzW03FxJtuN2FhZvFlkTez5+D9SqrZam4Op1WrYFs18cVWJ6Tix1GdyCJ3JjOp7n74W+AXqmHr+KMspJ3nOQ+r762GWwk3jKwsjwZ7sgBGh0KwXU0ONuOhw8P3DSshk6r0htKK/6+QSWX/Ogw+rs0A+qhb0H0PrEqUkEa4s+Q4Pjs1MeNVyHxlUo7AGco285ie+O4kvEPJgOIT4hUZegKd63QODlYOMpBKMxGEAIcXg35F2JkzsHByQsHdu2CW8b8ACM1WFX8W21XxMTZWDuxwN1bNG+G+2ZAaodJ1sOXFXoux7PYydC7WGX9V/QtvZs8mx84qmOfKBecjh2FqZZUoxZE/gauU5qmtmoHbKYrl4X7AdRZQuZ/Snf584mdcenkJU2pOQQvnFjpAhFkYCwJsU1NqmjGR7vS/iXiD+jvrK1Kxvbp7fWlal9TMTpAs19SpyNyGmsrpkrZ0ogbXR6nBNaWwV6BodyblCMwuDnx8BfT3AHKXlQVSS2/TR3WvJcmy2GQhmBEJwXY1ubIZD+kO/7eZVB/HTUWIuzvsXFyQb5mEpVxOUanK88L7AAX5uFK0O5NyBDwo2+wMlZIpT/dxS7qXZULlN5ZHTHwMTrQ/gZy2OsrAE2nvccHBeNq2HWJevoRtrVrIRw3qTSz+C4IQiW26lmW7mi74ePJ3EGCHOx8PtRFYvHgxZs6cicDAQJQpUwYLFy5E5cqVla6zc+dOjB07Fs+ePUORIkUwffp0uLq6fhkvRAuMo67WKyn6LJgMdI0aNbB06VLF2CT68OEDBg8ejAMHDlAPSlO0a9cO8+fPh52dncrysyFVGSoeqAYCC24uwMq7K9G1eFcMtW2JZ53IuUKNY/LSw0XGevX+W+kIRcZdXQbUGg7U/1sNDkqGfilTQA/WVT5H0acydMDJAbgYcFHR0FVo7MrECGgLAbFtqj7eNWJjoi3dGeI6/qH+cHV3VaRiCynZAgVt24bA8YkZRdkG/4rsgySoob6pHfDkJNCanDFlqb4uk3IE5paimmzPgb6ngbwVZIHU2ntrMcdzDloUaoEptSgykknnCIhpV/me0bk69Zrh15lUV132w8+VAlnomb/A9m2wpndiyegElbS8SHXcq9Id14Tt1Hf1cJ7KyZyi54KylCncmjKPZULVt1THx5iPOND6AApkKiATqTQXI/LuPfh1766o556pXVvkmjTpSyCE5quKN1PMe0Y8qXllfUCAHe76oCUZybh9+3b06NEDy5YtQ5UqVTBv3jwIDvVHjx4hR44cKSS9dOkSateujakUVda8eXNs2bJF4XC/SQ1mSpYsqRgv/G/h7+vXr0fBggUVzvm7d+/iwYMHsPocHdy0aVO8ohIdy5cvR0xMDHr37o1KlSop1lOV2JCqihSPUweB+TfnY9XdVeiVvyNaTb2AGL/nsKcPSnnmfJOmeHgEFeZbTg7338nhTg170ks7ewH33dOsCzzo1CCce3EOE6tPRJsibdLLleczAl8QENOm6utdIyYmfPS+j4B3kDfa7m+LLFZZ4NHJAx82bMTrKYmOBwd66XMcPUqal731LYGnFLHddhVQugOr8XsILCgHfPAFfjoGOFWVBVZb/92KKVenoGH+hpjjQo4aJp0jIJZd5XtG56rUe4ZfZ1IdfuCK0L17YVu9OpzWrJZ2b8f+Ai5T7XZt9YmSdjficr9IUe0n6D2sNAVItV0hLi81Vq+7oy7eRb7Drha7UCyLPHqYqCF+qkM/nj6DF79Sc1oqM+PQrRsc/xoNEwqclCOJdc/Ica8sk24RYIe7bvHWe26Ck11wdC9alNiQJZ4MaL58+RTR53/+SSUzvqFOFO0bHh6OgwcPfvlL1apVUbZsWYXTXohuz507N4YPH47ffydHJFFISAgcHR2xbt06dO7cGQ8fPsQP1HDj+vXrqFgxsSHa0aNHFVHyL168UMxXhdiQqoISj1EXgbmec7H+9mrMPZEbOW/5wzx3LqpXtxvmDt/U3zv8Bznc6cGuNv233hh12aQcv7M3Odz3UCQL1SGsOkDpeoNPDcbZF2cxvtp4tCtKkZZMjICWEBDTpurrXSMmJlpSm8Euc+/dPXQ51AX5LRyx4n4VhOwm+0iUtW8fZKdnDBMTE2n2vpYy+vwuAu3XAiXbSiODvnBdVAl49xjoSc+MBWvJQmp3b3f8felv1M5bG4vryycaUhbg6EgIsewq3zM6UqABsUnKpCr9yhJj1kUodiY0hrSm91pJ6UtQj5ayaCXdjMjMr1C22VHyWZSkd6L2a0RmpvryTXc3xYuwF9jkugllskuYLaG6yCqNDKLAzMCxiZnd9s2aIdeUyTDNkEGlubocJNY9o8s9MC95IsAOd3nqRZZSRUdHw8bGBrt27ULr1v+VpujZs6eiFMy+fftSyO1EzTKGDRuGoUOpUeRnEsrH7KWIgNu3b8PX1xfOzs64deuWwgmfRHXq1FH8b6FszJo1axQO+aCgoC9/j42NVUS/C9H1bdqoFrWbHkMaTY59Jv1H4EPke0THRWtvI/GxcL++Gg67LqGSdwLVpzNH/qWzYP1jKpEJZ6iZ0Z1t5HCnSPd6FImSXtpFjZHu7U5cr1w3pasNuTYZpwOvYHBxN7gW7wKqyZRezl/m21rY6nVjH60BYaQLpcemfg8yfb5r0oNJ7Nu3ePn+mZGepnRs+1MoEBOBJ8/v4djpTWh6xwyOb2NAHnZk798DWXt2ks7ZLmxrRw/g1W2g0yagBPfR+K6ml1QH3twH2lA2mEwi3A+/8MDIm7NQxqE4ppUnZ5ZAGam+rql5Og6t8U21z2APe0t7jTaeHruqjKGx3jNRoUF4/fKJRnow6klRH4HocAREvsb8s3MxZH8CMoclIJNrA+Qe+9kuSAnQaapJfncHUIccyXVHSSmJ/HlfowbqhynIr3AD2TRNFUBrc2YQnnx8rrhnhPsGFjaATRb546mChDFHT+PTeKqdT+WXTAsXhGW/7jArSk3SRYiDyJajAMGWXQWpkg8R455RWwieYJAIsMPdINUqzqZeUuOLPHnyQCgTU61atS9MRowYAQ8PD1y9ejUFY0tLS0WpmC5dyNH3mZYsWYIJEybg9evXirWEmu3C2rmoyWQSdezYUfGCLKR7TqGUcGENoWzN1ySUsBHWU7I5SgAAIABJREFU+eWXX1LdcFRUFIR/k0gwpEI0vhBBb2+v3kP/w+ISdZ0XR5W8qggIxJsmwKnmB2TM/d+ZS5VNHarlXnd0+iXY3Zcernemuc5vObLhpC09tIlA7Yq0w/jq40VYmZfUBwTEejjVp7tGm/fM859/RrjHOX1QvexlNLeKQ+5qQbB11OIH1vTuugt9cC3WNL2rGPb8ZRTVHnhHVns8ZWONoY7qv7zLahMyEGZI+SHoW4qeWzQgMe4aY71nfNYsRvSMxCxlpvQhkCFTDPLXfwczy4T0LaTN2XUpg7YOZdIyKUfgBmWbHfwvEFAuUHXO7Yj7Moz81hY+pZ7GY8i+eNhHamvF1NeJ7dUWpf6kD1Bqkhj3jJoi8HADRYAd7gaqWDG2pU8Pp8L+x48fr3DIf0uaONz/LS+P5l1i6NWY1oyK/YT4hHitbjmOAsYf5afAxaKRKO+QhnPHij70dNwA5FPeZFhl4e7vpQfG34DY7zv4D1lbYmpmW0QL5RQstet4b+XcCn9V1UK0vsqb5oFyQkCsh1N9umu0ec+8GPw/vD17Qk4q1itZPllSqXT6bp81ayzqO0XA3EpGTpBMeYDeRwDbbHqFqc6FvTgfODeL6hXG6Zy1MobvTU3QO7s9As3M/htiYa3IoGBSHYGBZQaiV8leqk/4aqQYd42x3jO+G5YjZCY112TSGIF4+umHFIhDrVLhFIQso3vGKhPQmTKp8vA763eV+94H2EjZ8eHvND4DYkxcb2eFZfbWiEsK+zalO8dcfqVX0rP3jOHxcL0cjfKPYpH5ozi/HfNenVBq+Hi1xRTjnlFbCJ5gkAiww90g1SrOpvQt/VKbkYfiIMqrMgKMACOgvwiI9XCqT3cN3zP6e35ZckaAEdAPBMS4a/ie0Q/ds5SMACPACOgCATHuGV3IzTzkjwA73OWvI1lJKDQYqly5MhYuXKiQS2iaKtRp/5U6UCtrmhoREYEDBw582Ud16uZeunTpZE1ThYapQp12gQSDJ5SL+bZp6o0bN1ChQuJX++PHj6NJkybcNFVWp4OFYQQYAWNCQMyHU329a8TExJjOFu+VEWAEGIEkBMSyq3zP8BljBBgBRoARSPI/ZcqUSaPSw4wgI/A9BNjhzudDLQSEmupCk9Tly5crHO/z5s3Djh078O+//8LR0RE9evRQ1HmfOpUaRBIJNdqFBqjTpk1DM+pMvW3bNkVN9ps3b6JkyZKKMdOnT1f8XajTXrBgQYwdOxZ37tzBgwcPFI1RBWratKmi5vuyZcsQExOD3r17o2LFitiyZYvK8ov1wK6yADyQEWAEGAEDQkBMm6qvd42YmBjQ0eGtMAKMACOgMgJi2VW+Z1RWAQ9kBBgBRsCgERDrnjFo0HhzKiHADneVYOJBXyOwaNEizJw5E4GBgShbtiwWLFgAIUpEIBcXFxQoUEARnZ5EO3fuxJgxY/Ds2TMUKVIEM2bMgKur65e/JyQkYNy4cVixYgWCg4NRs2ZNCI1VixYt+mXMhw8fFFH0QqS8qakp2rVrp+BrZ2ensnLYkKoMFQ9kBBgBRiBNBMS2qfp414iNSZpK4QGMACPACBgYAmLaVb5nDOyw8HYYAUaAEdAAATHvGQ3E4SkGhAA73A1ImbyV7yPAhpRPCCPACDAC2kOAbWpKLBkT7Z0vXokRYAQYAQEBtqvJzwHjwb8LRoARYAS0iwDbVe3iyav9hwA73Pk0GA0CbEiNRtW8UUaAEdABAmxT2eGug2PGLBgBRsDIEeC7hh3uRv4T4O0zAoyAyAjwPSMywEa8PDvcjVj5xrZ1NqTGpnHeLyPACIiJANtUdriLeb54bUaAEWAEBAT4rmGHO/8SGAFGgBEQEwG+Z8RE17jXZoe7cevfqHbPhtSo1M2bZQQYAZERYJvKDneRjxgvzwgwAowAO9y/OQN89/KPghFgBBgB7SLAdlW7ePJq/yHADnc+DUaDABtSo1E1b5QRYAR0gADbVHa46+CYMQtGgBEwcgT4rkl+ABgPI/9B8PYZAUZA6wiwXdU6pLzgZwTY4c5HwWgQYENqNKrmjTICjIAOEGCbyg53HRwzZsEIMAJGjgDfNexwN/KfAG+fEWAEREaA7xmRATbi5dnhbsTKN7atsyE1No3zfhkBRkBMBNimssNdzPPFazMCjAAjICDAdw073PmXwAgwAoyAmAjwPSMmusa9NjvcjVv/RrV7NqRGpW7eLCPACIiMANtUdriLfMR4eUaAEWAE2OH+zRngu5d/FIwAI8AIaBcBtqvaxZNX+w8BdrjzaTAaBNiQGo2qeaOMACOgAwTYprLDXQfHjFkwAoyAkSPAd03yA8B4GPkPgrfPCDACWkeA7arWIeUFPyPADnc+CkaDQEhICDJnzgx/f3/Y29sbzb55o4wAI8AIiIGA8HCaL1++/7N3HmBSFFsbPuSccxJQkogZBAMCJlDRa86CAbOImDGnKypiFnPOEROGa8QMZkXECCJJlCQ5//sWfy+9w+xuz+zMdM/Md+6zj5fd7qpT36muU/XVqVM2f/58q1OnTjqqyLoy5WeyzmRSWAgIgYgjIF9T1EDyMxHvsFJPCAiBrENAfibrTJY1CotwzxpTSdGyIjBt2jRHDkmEgBAQAkIgdQiwidmyZcvUFZjFJcnPZLHxpLoQEAKRRkC+Zp155Gci3U2lnBAQAlmMgPxMFhsvoqqLcI+oYaRW6hFYs2aNzZgxw2rVqmXlypVLSQXebmi2R82rHSnpDikpRLZICYwpK0T2KB7KtWvX2sKFC6158+ZWvnz5lGGezQWlw88EwSOb+6l0D2Lh1D8j3FOPaWklCvPSEIr/d/maorikw89kc99Mrlcl/5awCo6dsBJWwREI/mQ6+pX8THD89WRiCIhwTwwvPS0EiiCQK/m+1I7odGzZIjq2QBPZI1r2kDbxEcjmfirdw+nVwj3zuAvzzGOuGoMhkM19M1gLU/eUsAqOpbASVsERCP6k+lVwrPRk+AiIcA/fBtIgixHIlQFf7YhOJ5QtomMLEe7RsoW0KR6BbB43pHs4PVu4Zx53YZ55zFVjMASyuW8Ga2HqnhJWwbEUVsIqOALBn1S/Co6VngwfARHu4dtAGmQxArky4Ksd0emEskV0bCHCPVq2kDYi3KPWB7J5vJbume9NwjzzmKvGYAhkc98M1sLUPSWsgmMprIRVcASCP6l+FRwrPRk+AiLcw7eBNMhiBJYvX27Dhw+3YcOGWZUqVbK2JWpHdEwnW0THFmgie0TLHtImPgLZ3E+lezi9WrhnHndhnnnMVWMwBLK5bwZrYeqeElbBsRRWwio4AsGfVL8KjpWeDB8BEe7h20AaCAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBIRADiAgwj0HjKgmCAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBIRA+AiIcA/fBtJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIARyAAER7jlgRDVBCAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIATCR0CEe/g2kAZCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBIZADCIhwzwEjqgnpQ2Du3Lk2ePBge+WVV6x8+fJ24IEH2i233GI1a9aMW+mUKVOsbdu2cf/2zDPP2MEHH+z+Vq5cuQ2eefLJJ+2www5LS2MSbQdK9O7d28aOHVtEn5NOOsnuuuuuwt9NnTrVTjnlFHvvvfccJgMHDrThw4dbxYoVI9EO2n3ZZZfZ//73P0PXRo0a2X777WdXXXWV1alTp1DHdNvjjjvusBEjRtisWbNsyy23tNtuu8222267YjF69tln7ZJLLjH6U/v27e26666zvfbaq/D5tWvXunbde++9Nn/+fNtxxx3tzjvvdM+mUxJpB7o98sgjNmHCBKfStttua9dcc02Rdh9zzDH28MMPF1G5b9++9sYbb6SzGZZIOx566CE79thji+hTpUoVW7ZsWVbZI973TAPoV2PGjHFtCcseaTV2jhSe6BgeJV+UqO5R8j+J6h6mz0lkXAPjKPmZRHSPmm9JRPeo+ZNEdJcPyRFnUkoz8B3Mkd999103Z23evLkdddRRdtFFF1nlypXzA4QEWvnf//7XzaG++eYbhw9zcsl6BBIZY/IVtw8++MCtEb/88kubOXOmjR492q1VJRsiAMfwwgsv2KRJk6xatWq2ww47uDVyx44dBZcQiCwCItwjaxopFgUE9txzT+f87r77blu5cqUj3rp162ZPPPFEXPVWr15tf//9d5G/3XPPPc6RUo5H1EPwPvjgg9avX7/CZ+vWrWtVq1ZNS7MTbYdHeHTo0MGuvPLKQp2qV69utWvXdv+mrVtttZU1bdq0sH0DBgywE044wRGr6ZBE2wHZCzENkdi5c2f7448/7OSTT7YtttjCnnvuuUIV02mPp59+2sCFjYru3bvbzTff7IiOn376yRo3brwBTJ988ontvPPObuOif//+rq8xmfjqq6+sS5cu7nn+zd8hq9nggZz//vvvbeLEiWnrQ4m248gjj3QbAUyG6NfozCTyhx9+sBYtWrh2YJe//vrLfQueQGbXq1cvHd3HlZloOyBIhgwZ4uzlCf2lSZMmhf/OBntABK5YsaJQ5zlz5rjNn/vuu8/ZISx7pM3QOVZwomNflHxRorpHyf8kqntYPifRcS1KfiZR3aPkWxLVPUr+JFHd5UNyzKkU0xwCHugbhx9+uLVr184FTTCvP/roo+2GG27IDxASaCVrDNZv06ZNs/vvv1+Euw+7RMeYBGDPqUdff/11+/jjj11g0gEHHCDCvQTrwpsQnAgXs2rVKrvwwgvdGMX6t0aNGjnVL9SY3EFAhHvu2FItSTECP/74oyNpP//8c+vatasrnYkoEaFMrIj6CCJbb721bbPNNm4i5ifsMrWDnWw7iGaCUIcgjidMECCEZ8yYUUg+Qiqff/75btMh1ZEwybYjVnfIbqJ1Fi9eXBiJD4GaLntAsjMxuP32250qa9assVatWrmTExdccMEG0B566KFOt1dffbXwbz169HC2AF+i2+l7Z599tp1zzjnumQULFjgbsJhP1ymJRNsR2zAIQIh0cGADAoHoJRroxRdfDPIppeSZRNsBpmeeeWaxi6hstQff9aWXXuo2Ar1Jahj2SIlRc7yQVI19YfiiZHWPgv9JVvcwfE6i41qU/EyiukfJtySqe5T8SaK6x+IuH5LjjsfXPIKGOEX5+++/50+jE2xpad92gsXlxONlHWNyAoQEG5HO9WiCqmTF4/ANBK9xIp9gNYkQiCICItyjaBXpFAkEHnjgAUdqzps3r1AfdlOJ1oW03X///UvVk+NhkPXsXBPp6wkOFdJ0+fLltvHGG7uoa6Ln46U2KbWSUh5Ith0QHkQjQygSxb7PPvu4SGqi3BHIupdfftkdo/Rk8uTJrj1EY0PupFKSbUesDkT0Dhs2rMhJhHTZg4hi8CKa3n88kNQ7EM0vvfTSBhBttNFGdtZZZzmS1xMiaCClv/32W7fg2WSTTezrr792JLwnvXr1cv8m5VGqJZl2xOqwcOFCNyni22GjBoHgpV1szkDG77LLLnb11VdbgwYNUt0EV14y7WARNWjQIBeVz2YJm2ec4Nhss81cmdlqj80339y233574wSOJ5m2R1qMnIOFpmLsC8sXJat7FPxPsrpn2uckM65Fxc8ko3tUfEsyukfFnySjeyzu8iE56GyKadLFF1/sAo6++OKL/Gl0gi0V4V4UsFSMMQmaICceF+GemBl//fVXl06VU97eKfDEStDTQiD9CIhwTz/GqiFLEYBUI2WHP5UETYE0vOKKK1zu8tLk1FNPtffff98ddfIL+REhFyFjyS8OoXr99dfbGWecUVqRCf892XZAxLVu3dptDHz33Xcucp284+ROQ0488USXouXNN98s1GnJkiUuWva1114zjuKnUpJth1+Hf/75xx3ZI8KdvIuepMseRP9D1HJ8H3LTk/POO8/txo8bN24DiCCf6Xcc5/Vk1KhRrs+RfoWySNVC2c2aNSt85pBDDnEbNhzhTLUk045YHfgW6Cts4nipk5566in3DZAW57fffnNHA0m79Omnn1qFChVS3QyHWaL2QJdffvnFpSHiJAFHqsm3SDtatmyZlfYYP368S29E//PfJZBpe6TcwDlaYCrGvrB8UbK6R8H/JKt7pn1OMuNaVPxMMrpHxbcko3tU/Ekyuvtxlw/JUWcTp1kQWsybmfuQWkYSHwER7kVxKesYk6/9TIR7cMsTBLXvvvu6ALaPPvoo+It6UghkGAER7hkGXNWFjwBpPMi5XJJwlBxiuSyE+9KlSx0hSlQ4kfIlCdHi5LH+888/AwOUqXZ4CnGB0q677mpMvomwThXhnql2/Pvvv7b77rtb/fr1XWR+pUqVisU6GXvEKyyZCWdUiBB/e5Jph//9a6+91m0osfkEcV2ceNHib7/9tutrqZaytgN9uMth0003dRsibNRk4wYIlx9D/LCRVpKk2x6ptm+2lZepsS8dvihTuqfD/2RK90z5nGTGtaj4mWR0j4pvKavuYfqTsuouH5Jt3sZcCsMga59OnToVNm769OnG6UlOHHE6NF8kGaxEuBftHWUdY/Klr8W2U4R7cMsT+Eh6W8h2AqAkQiCqCIhwj6plpFfaECDfFxcGliSkRXnsscfKlFLm0UcfteOPP96YsDZq1KjE+rjhnjQby5YtMy6NDCKZaoenC3nFiT7mWGnfvn1TllImE+0gnQk6E01NbvTSLqdNxh7xbJbMkcqoHPX3tyeZdnjvExVFmhhIdO8uhJL6N98Kz7OgT7WUpR1+XQ4++GCX///JJ5/MupQyfMecWuEyZC6DLU3SaY/S6s71v2di7APDdPiiTOmeDv+TCd0z6XOSGdei4meS0T0qvqUsuoftT8qiu3xIdnqmoOOed/8ShClEO3cIQSaXL18+OxuehNaJYkUVItyLAl2WMSYJk+XMKyLcg5ny9NNPd2lZOXHMKWmJEIgyAiLco2wd6RYqAt6FaeQs5DglQvoXbsgOcmkqE9WGDRu6/N2lCelNRo4caXPnzi3t0YT/XtZ2eBWSh36nnXZyecSJUvYuTeXSRdLsIKQBOPfcc2327NmBNw6CNijZdhBlCNnORgapbrwc9CXVm0p7kLqDtB233Xabq5IjcJAdTBaKuzSV1DyvvPJKoYrk/wdz/6WpXJjqnZygjdgg3ZemJtIOlCeqHSxJJcOirTThuwIb8rpzTDAdkqg9YnXg8lfyt3N58o033lh4iW022IO20Ee4M4KNwNJy5WfCHumwca6VmezY5+EQpi8qq+5h+p9kdQ/D5yQ6rnFpalT8TKK6R8m3JKO7f3wK058kq7t8SK55mA3bw/ygT58+bu1D8FE6UvzlGooi3De0aLJjTK71jUTaI8K9ZLS4V27w4ME2evRod2qa/O0SIRB1BES4R91C0i9UBMhDTt5siE5SSXCxKVG6TzzxhNOLSSmpLx555JEiuZBJu9KhQwdH8ELQ+wUilTIhIIm0fuuttwyyjh/ydKdDEm0H+bRpI6QipBypJ4YOHeqObJF7HGGhyCWdRMtCrM6aNcuOPvpod8EkuW/TIYm2A+Jjjz32cMQCzpn88p4QucsiIt32IKc6l6Tefffdro/cfPPN9swzz9ikSZOsSZMmNmDAAJdXfPjw4U41UpRwhJc0LHvvvbeRVxs8uYjWuxCGY8H8nZRH7OyTtggbcVdAadH7ydol0XagI6l56EfknPeEUxL8LFq0yPX3Aw880F3KS58jtz2RoVx+E/SkR6LtSbQdRILzrbZr187lCRwxYoTbEOASys6dO7vqs8EeHk49e/Z0/Y1+5Zew7JGo/fL1+UTHPg+nKPiiRHWPkv9JVPewfE6i41qU/EyiukfJtySqe5T8SaK6y4fkh/dhXcMmLXc4Mcf0k+3M1SRFEZg6daoLliJVJfPDDz/80D3AnJG5bj5LaWNMPmMTO/9mroZsvfXWLpiHDS9SoBKEJFmPAPcRsa4kur1jx46Ff6hTp45Vq1ZNUAmBSCIgwj2SZpFSUUGASRSRyJCyHKeEHLz11lsLJ1FTpkxxhOd7773nJqiecPkjUSH8PfYYJilZhg0b5nKhs1PLpIw8ZFxGlK4jm4m2g1zyXCw6YcIE4/hwq1atbP/997eLL77YateuXdhOLk1Fd3aZIbMhliGCSbeRDkm0HejFpCWeTJ482dq0aeNS5KTbHrfffrubiLMpwSYFfYjID4R+gx5Ex3jy7LPPOqzpP+zes6HB5ocn9Bsu2uVEASQwJw+4WJVNnnRKIu2gTfSPWEHvyy+/3Mgrvd9++9nXX3/t2sDGDZsj5EVnIyKdkkg72GjiPgdsV69ePRfxRcobJsXZZA905QJo8rNyUof7DPwSpj3SaetcKTvRsS9KvihR3aPkfxLVPUyfk8i4Rv+Ikp9JRPeo+ZZEdI+aP0lEd/mQXPEmJbeDuSjBRfGEuaekKALHHHOM25iIldh1Yb7iVtIYk6+YxLa7uHkDa2r/2lB4mXECIJ5wDx7fokQIRBEBEe5RtIp0EgJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBrENAhHvWmUwKCwEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBIRAFBEQ4R5Fq0gnISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIASEgBDIOgREuGedyaSwEBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAhEEQER7lG0inQSAkJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAICIGsQ0CEe9aZTAoLASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBISAEhEAUERDhHkWrSCchIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBISAEMg6BES4Z53JpLAQEAJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACEQRARHuUbSKdBICQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIgaxDQIR71plMCucrAr1797atttrKbr75ZgdBmzZt7Mwzz3Q/QeShhx5yz86fPz/I4+6ZKVOmWNu2be3rr792db///vvWp08fmzdvntWtWzdwOcU9mIxOZa5UBRRBoFy5cjZ69Gjbb7/90opMvtn6kksusb/++svuueeetOIar/DDDjvMunXrZmeffXbG61aF2Y2A/Ex22y+q2svPpMcy8jPpwVWlphcB+Zn04puvpcvPpMfy8jPpwVWl5g8CItzzx9ZqaQYQOOaYY+zhhx92NVWsWNFatmxpBx98sF155ZVWtWrVMmkQO0H9+++/rUaNGla9evVA5SZDeMYS7itWrLC5c+dakyZNjIlNWSUZncpaZ5jvZ2oyGK+Nl19+ub344ov2zTffZA3hng68MtHnZs2aZR06dLDvv//eWrdunfEuN2HCBNt5551t8uTJVqdOnYzXrwrTi4D8TGL4ZuKbT0yj9D6djnEzqMbyM+uQykSfk58J2iv1XDIIyM8khlomvvnENErv0/IziQWwpQOvTPQ5+Zn0fkcqPT8QEOGeH3ZWKzOEABNUoloffPBBW7lypX355Zc2cOBAO/nkk+26664rkxaxhHuihSXjmGMJ90TrLO35ZHQqrcwo/z0dE66g7RURkloiZPXq1W7TqXz58huY4Oqrr7aPPvrI3njjjaDmSflzRLgzHp122mkpL1sFhouA/Exi+MvPJIZXWZ6Wn5GfKUv/0bvRQUB+JjFbyM8khldZnpafkZ8pS//Ru0Ig0wiIcM804qovpxFggkrKFiKJPTnwwANdpOlXX33lfjVnzhw7/fTT7YMPPnCpWTbZZBO78MIL7fDDDy98Z/HixXbKKafYCy+8YLVq1bJzzjnHXnnllRJTytx4442O6P/999+tfv36ts8++9j1119vNWvWdOUGmQyOHz/eTjrpJPvxxx+tS5cudtFFF9kBBxxQbEqZP/74w7UFcpHod9LcjBgxwvbaa6/C9DOvvvqqDRs2zH7++Wen/3333efKjqfTb7/9ZmeddZZ99tlnBgabbrqpDR8+3HbbbbdCbJYvX26XXnqpPfHEEzZ79mxr1aqVK//44493zxDde+6559qHH37oTgDssccedtNNN1nDhg3d39m42Hzzza1ChQruNELlypUNgvSII45wbXnuuedcBP9tt91me+65Z2G9QcrdYost3EkG2ki5bLQwMUTABrw8IfKZDY14QmT0kCFD7NNPP3UnGOhD2NezpdfPdtppJxs5cqTDnjQipBuqVKnSBkVi+2OPPbbI7+krlANpfO+999qYMWPszTfftBYtWrgy991338Btj9cG6sRO//zzj/Xt29fQ9aqrriqS0uill16yK664wiZOnGjNmzd3m1P0OU6HlIRXSe+hC9/g+eef777DBQsWWLt27ezaa691+JESyS+XXXaZsxHfIpjzndHHevXqZbfeequ1b9++SF995JFH7IILLnD9+ddff3V6xgr9m+/XT3Yn0++8FE4Q99Q5adIk23777e2pp55ym3l8K9OnT7f+/fu7Puc/7cKpmrfeest9B5LcQkB+Rn5GfmbdNy0/Iz+TW6N7dFojPyM/Iz8jP6P1THTGZGmSvQiIcM9e20nzCCIQO0GFpN19991dWglIZASC7Mknn3Qkcu3atR3ROXToUPvkk09su+22c8+ceuqp7vcPPPCANW7c2BHyY8eOteOOO67YHO6QrVtuuaXLuQ7pThm77LKLjRo1qghhWFwO90WLFtnGG2/s9KU+NgkgICmruBzuEH2QvRC0kNsQp7SJdBYeWQhpfsstt1jTpk1duWACWQkxHLsJ8O233zqcdtxxR6tSpYpBbt5www1yGMbdAAAgAElEQVT2008/2UYbbeTaceihhzoimjJpL3pC6vJ72kYqj0GDBtmAAQNs6dKljnhdtWqVvfvuu+59iE82P8477zz3ztNPP+0IV4j5/fff3/0dgv6ZZ56xqVOnOhIzaLngBAkKeY+O9AdIbDAlBRC2hOju16+fI/wbNWq0QS9mowGSF2IVMppNBdoDpuCFUC5516kHG0H80hb6wAknnLBBmeBADj6I27ffftv9nVQj1apVc4Q7qY/YnCEqmo0G+h2bA2zcBGl7bIXjxo2zHXbYwW2WkBueeiG2165dW0i4QwTTfyC1e/bsaWy2nHjiia5tPFscXqW9t2bNGtd/Fi5c6OzIhhb9Erx33XVXu/POO91GAH0KgYTn5z//+Y/98ssvdvfdd7s+TL9BJ971+ir6gRGbSg0aNHCbPbEpnUi5xOYO9u/evXshNMn0O+8b6tGjh/sOqOuQQw5xmyJ8H2wi8N3Sb9lkQmdPwJw2/fvvv+5ZSe4gID8jPyM/YyY/Iz+TO6N69FoiPyM/Iz8jP6P1TPTGZmmUfQiIcM8+m0njCCPABPWxxx5zUc6QvETKknIC8pYo5eIE4rFTp06OVINAg8yjHPK/I5B4kKIQfkEvTSVSmwhryGiktAh3LneEEJ82bVphvvm77rrLReoWR7gT0U27IEhjxSMLicaFDPa3A10gDkvTiXfYXacdRJ9D1Hfs2NFF7vqj3r26iVSHkIXk9oT2QIxCsELGQ3ySDsSL/OX/Qz4TyQ/Bj5CzrlmzZo40hexMplzKYQOFTQ+IUSRIShmizSFO//zzT7eJgbz22mvuxMKMGTNc9D39DHwhhCGSEfCkr4F3PCnpCObFF1/sos8RCH8I6Ndff91tDARpe2x9bAQQWc6mkSdE4EMCexs+2A8CnNMJntDn2QihncXhVdp7//vf/9zJBE5pYO9YidfnINp59uOPP3YbBQgnUeg3nILgO/ROCZADn42e4oS/b7311m6zhvc9Sabfed8QmyRghdCXwAzbs0GG8H1wWsKfwua7775zevL7MPLIFwuQ/lBmBORn1kMoPyM/Iz8jP1PmQVUFbICA/Iz8jP+EpNYzWs9oPSNHIQSSQ0CEe3K46S0hEBcBJqhEsBNFC3FJhC3pMUj34AkE7zXXXONIeJ4lQhxinihVfkeUN6lXiDD2orp5FxKPNBfFEe6QckQUk3aCqFYI/2XLljk9iIwtjdwmyp66vUhw6vR0KY5wp10Q8kzEIEIh3yHhEY8IidcOop4h6WN1YrMBYpgF9MyZM10biM4+++yzXQQ2+EDm8rt4qVMgRkk3QjoXv4ABpDVELMTnZpttZnfccUfhIxCSEPpECSNEYkNeUxapVZItlwhjNk+IGEeCEO5ElID3e++9V6gf5HXdunXdKQci3elnRID7iQYi3UlF47efH4OSCHdw9TZ3eIcNCCLdOSUQpO2xHwN9lf5MJLknnEjA5h7hTnQ/9vY2DHiOb8PfZ+PhVdp7t99+u7OtP32PX79438HLL7/s+i51+/Xxt4P3SLfEMyVdGMwmDaQ9JxP8JxiS6XfeN+QvixMS9FX6tCfgSiocL20Vv/c2EYjQ55SJJHcQkJ+Rn/H7L/kZ+RlvdJOfyZ1xPuyWyM/Iz8jPrFt7az2j9UzY47Hqz24ERLhnt/2kfcQQiD2CSXoLokzPPPPMwhzjRKgSyQ5xTi5xopj5O8Q8OaeTIdyJYiVCHvKbaHJSgZBXnbzm5KaGrE0H4Q78RGJD/BJZTL520ssMHjw4KcKdSF2i18GHvNukPDnooIMcSQ5ekIpMfIoj3CHU2VyId0EtEetgHe/yWfJwYwN+PPGTvcmWy8aCh32qCffYuwLQnehqSNp4ksglQ+gM3vTnIG1PhnDHtqTM4WRBrBC5zYZHPMK9tPdYINB/0kG4g3FxKZm8NnhEt3eiwk+EsJHmbZjx+9L6nUe4e98w78T7juPZlnQLnM5gY8a7vyBiw6XUSRIB+Rn5Gf84Ij9TPOFemr+Qn9mvcK4mP5PkgJyjr8nPyM/IzwQj3OVntJ7JUTegZqUIARHuKQJSxQgBEIh3yRD52olaJhc6TpnUIOTyvv/++x1okPKQ5Z07d3aEO1G/EOaPP/54YdQxCyFSypCfO16E+/PPP+8uXSX6lgUkQioQ8nYHJdzjpZQhnzUkeHER7rFWJ9UF5DvpLDyykBzppDtBvHYQpRsvpQwbEPwevRGwoN3gSrvZWICMhdyPl1KGCzfBgjzxbGDEk2QI92TLjSVCiLynP5SUXihoSplECXdOVVA3UfB+iUdq+wn3IG2PxTleShn6J2lqPMKaPOv0e+87iGereHiV9h6nAEjjU1xKGS7bJVKdHO+elJRShjRDbPqUtmHllcX3XK9ePZeKBvt7kky/KwvhDq4Q8WyISXILAfkZ+ZmSiBD5GfmZTG3sys/klm/xt0Z+Rn5GfsbcqerYFJlaz/R2J/HlZ3J3/FfLUouACPfU4qnS8hyBeBNU0qJ4kaznnHOOI9/Jr06ubYi5G2+80aVK6dOnjyPcESLVISe9S1MhPUkVQsR6PMLdi4rnbxD65KKG/CZlTVDCHXKbC1fJ2827kNvehZzFEe5E/BIBTf5r6uGiVtKzQLJ7ZCHpW0gnQu5x2kEUNgQnpEAsiUm0M5egQshDBEO8U47/sthjjz3W3nnnHXfZJqcHiGQm5QZEPbm/mQSQeodc4GxccKEoWJP+hnQhyRCfyZYbS7iDExsFpFrhIkvsHytLlixx0f2kJYEwJUKZS1O5WNR/aWqihDtEM3cAcPKBTYxatWo5HUoj3IO0PbYN3sW3nDQg3QE59bGl/9JUfsfdBeSPh9Bmo4h+zGYJm0VIPLyCvMe3xN0FfFtgSZol2knf5nJiSHtSMNF/OBHBD7byLk0FmwsuuMD1Hf+lqUEi3NGbDRW+JSLtwyLcGYvo7yVtaOT5cJ21zZefkZ8piQiRn1l/OXcQfyE/876bfyYT4S4/k7VupFTF5WfkZ+RnzLSe0Xqm1MFSDwiBUhAQ4a4uIgRSiEC8CSrFk0YG8g8ymXztEMiQxhB9kKBcsMgOuke4Q35Dur/wwguOGCWHOZHj/h3l2HQU5IsfMWKEiyAmz/eRRx7pcnAHJdzRk4kFEe1EBxNxD0kKeVgc4U7qGDYGuJi0du3ajtBED/KWe4Q7aWAgLyEz0Z8Ibi/PeyzhDskPNuhBGgwuD3322WeLtJsofi53hUTnYkvy3PNviHiEeniPHOhgzQYAeoE/pGsyhHuy5cYS7mDBhgvtbNGihftvPCEKnc0O8oHTR7AB+nOZKRKvn5WWUgYs6BP0O/oImxqUUxrhHqTt8drAZhG5xbERmwxsgnAxqz8lC2TIlVde6foXOfmJeGdzgZMcSHF4lfYelwyzuUVudnKdQ7rzDe69996uXL4t+hW6oSMbG3wnYM473KvAN0Qe+/bt27t3gka48yzfBG3gu/ZOnCTT75KNcOcbadq0qbtElbQyktxCQH5GfqYkIkR+Rn4mE5GH8jO55VdiWyM/Iz8jP7Puq9B6RuuZ3B7t1bp0IyDCPd0Iq3whkKcIxCML8xQKNTvPECCSv3v37sZFxBw9zbRwafPo0aNd6iWJEMhlBORnctm6altJCMjPqH8IgcwgID+TGZxVS/QQkJ+Jnk2kUfYhIMI9+2wmjYVAViCgCWpWmElKpgkBUidxUuHoo49OUw3FF0v6JFIQdezYMeN1q0IhkEkE5GcyibbqihoC8jNRs4j0yUUE5Gdy0apqU1AE5GeCIqXnhEB8BES4q2cIASGQFgQ0QU0LrCpUCAgBISAE/h8B+Rl1BSEgBISAEEgnAvIz6URXZQsBISAEchsBEe65bV+1TggIASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBISAEMoSACPcMAa1qhIAQEAJCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkIgtxEQ4Z7b9lXrIoLAqlWr7MILL7Qnn3zSpk+fbvvuu6+9+OKLVq5cObvsssvs8ssvd5o+9NBDduyxx9rkyZOtTZs2EdE+v9VIxCbYrHfv3s6OpQnPdunSxV599dXSHtXfsxiBY445xjiOPGXKlKxtxYoVK6xy5cpZq3++KC4/k72Wlp/JXttFQXPmHQi+Jltl+fLlVqVKlWxVP6/0lq/JXnPL12Sv7aKgudY0UbCCdMg2BES4Z5vFpG/KEPAmHV6BTPQ32mgj22OPPeySSy6xJk2apKyue+65x0466SQ788wzbZtttnH19OrVS4R7yhBOX0FlmZxOnDjRnnnmGWOCEruBki7Cfc2aNXbDDTfYnXfeaTNnzrQOHTrYsGHD7PDDDy8VJJ6/5ZZbbNy4cfbFF1/YokWL7L333nObCJLkEMjk5BTb33333e7np59+surVq9uWW25pN910k/uvJ0H7yLJly+y4446zZ5991urXr2+33XabHXLIIckBkadvyc/kqeETbHY++ZlYaE444QTjoue9995bG9AJ9hvv8UwS7mzAMsd45JFH3EZynTp1rGvXrs7vtGzZsrAFEOiXXnqpPfroozZv3jzbYost7Oqrr7bdd9+9SCvnzJljRxxxhL399ttubvzggw9qzpFEP5CvSQK0PHwl23zNf//7X7cm4Wf27NlFgtSCmC/oOBSkLD1jbj2bqSAirWnU43IFARHuuWJJtSNhBLxJx5VXXmlt27Y1yKWPPvrILQ5at25tEyZMcIRVKuSwww5zZU+bNq1IcdRZsWJF94MkMhFKhV4qo3QEVq9ebStXrnSRV5xIKEliI9yfe+45O/jgg+OS1uki3CHXr732WoPE6Natm7300ks2ZswYd7qCfliSeBdDtW/f3ho2bGiffvqpCPfSu0iJT2Ryckpdjz/+uA0YMMC23357W7x4sX399dd25JFHFiE5gvYRFjpPPfWUW+D88ccfdsUVV7hxEVJEEgwB+ZlgOOX7U/nkZ/y2ZmOXsYo50K677irCPckPIVOEO3Ohvfbayz755BM3x4BEh0yHDMNPbLbZZoUtYJOfORCBJswpGAs///xzN6fYaaedCp+jnJ9//tmGDh3qNvoJUOGUZ40aNZJEIz9fk6/JT7sn2ups8zWsu5o2beqCRt58882ECfeg41CiOObr81rT5Kvl1e6yICDCvSzo6d2sRsCbnLIAIDrHk7PPPttuvPFGe+KJJ4qNCobISmQxsMsuu7ideciqkkSEuzmSMBFso9QJwybcSVfE5tGJJ55ot99+u4Nm7dq17jQFC1ii0SpUqFAsZAsXLnSbC0Qzl7RZECXMo65LpiannKQ49NBD7YUXXrD999+/WFgS6SP9+/d3pMp//vMfVx7lHnXUUXbggQdGHfbI6Cc/ExlTFFFEfiZ5uyQyhpRUC75pxx13tE033dTeeecdpVhL3iSFEeHpTilz/fXX28UXX+wCSLbbbrtiNR4/frx1797dRowYYeecc457jgAT0ug1btzYEfae8Ds2ir1TWFtvvbU78bDtttuWAZH8e1W+Jpo2l68pm11Yt7C2+ueff6xRo0YJEe6JjENl0zJ/3taaJn9srZamDgER7qnDUiVlGQLFTU6JBoZoIrqTvOs4F8jHb7/91gYPHmwffvihi8QiBzsTKY7MQnZBqDMpgKCCtGdXnokCBGiseGk6guZwf/311+2aa66xr776ysqXL28777yzsfDxRxPFgx/ylPcee+wx+/PPPx2RzeKWSCT/sV7awiLq119/tXbt2tlVV13lIqP9x8a86OfYFCNeGzkGDFbId9995zYtPvjgA5sxY4bVrVvXRUWx+GrQoEGhquSuJ2r2hx9+cEeNaScYEpWLoDfpMEjNUq1aNZfuhzJatWqVcG8jlQ9lQ0h6svnmm7tNEGxLpBby9NNPu0hw6gSreJsgEAX0j7vuusvmzp3rFpYQ3ByJ93K4xx7v9er08PMi3C+44AI766yzHGbNmzd3+fyJUPbLb7/95v65ySablNjuUaNG2Wmnnebw7Ny5c+GzRLdzZJu+648sK6mw0gh3+i51QebTnyD0t9pqKxedBq4cL8dWnOro0aOHw9GfVgecmECzscV3xcYX7Sc6/6CDDrKxY8faeeed53AhovqOO+6w3XbbLWG78wJ9Gb3oVxxf59g7fZXv278B4enE90zbiNqrV6+eDRkyxOniFyK+0RuiiO+KKPJ+/fq5H/83Em9yyjHJW2+91e69917DthzJ32+//Vzbqc+TBQsWuLRAzZo1c8+UJGBMv0Rnyl+6dGncjatE+sgZZ5zh9ONbnjp1qvsu3n333SLpaZIySB69JD+zPn2E/Iz8jP/TJyXJ6aef7qKbGb9i7zTx5hb4Efz/yJEjbdasWc6H3X///W4cZ96Ar2FcZ37APIQNY088Pwvpyw++kTkO6bEY75kP4L9++eUXN5+C6IXwTUaomxOSzCkYu/HX+IhTTjmlSHGJ+H78H2VAHDF3Ovnkk61FixYu1Zf/rp94Ee6kUmD+B5nN/A+im2hP5nf+XOn4YX7wsyWd6sSvMPcCf+ZJ5PEmvUy8d/CX+A3mR7Vr1y5s//Dhw53fxZ948zjuNIJI4/fMcb22ccpOEhwB+Rr5mlxb0/h7fzKEeyLjkNY0WtMEH231pBBIDAER7onhpadzCIHiJqcQYRBskKnkXYcwI60CizsWGhx/ZoFBpCcEIOTa8ccf78hGjru98sor7ggtRDGE/OjRox05Sz5sFhsIZDc54oMQ7izgBg4caH379nWE7pIlS1x+7vnz5zsCsaTLVS+66CJX56BBg1w00r///uuO7BJJdP755ztd/ve//9mee+7pCFoWOixcIY9pLzp7lz0mQrizMIbkpJ0cBWSR6xGxn332WWFqFo9wp26OHNNGSMNTTz3VYUYufXJGQ+r+/fffbpFcs2ZN125I/EQEm0I8szGCsBBkQYcNsDkEKwIB4G2g8O94hDt6sdBnE4EfFolvvPGGW3xiI975/fffXT50ymYhCXnvtz12q1q1qrMj/Qey+YEHHnBt+/7774tspng2Lu3iTTZ7aCOR6v70N5CmkAzowuI9iAQh3L3j5B529DWIYSa5ELu0i+PmbA4RyQhZ6wkEASQHhDdELot9+jW5xyEI+IYgF7AzhAt9EdKgVq1aQdQv8gyR2Vz6SYod+g96kJccAoay4+l0wAEHWMeOHd1mG8+/9tpr7jtB+K5pO2Q4/Yo+zsYBBAebN6UR7tjJ61dE8UGc8M3xHXz88cdWqVIlV4/3jH8zK17j+a7Bie8GcoPvBLzY7IPE9+ddT6SP0L4+ffo4myBsDnljWMJGyNMX5GfkZ+RnNvz48VHcL8L4ybgSL8WaR7gzt8K3Mo/Bb+NP2EDn5CDzEvwHwQKMe8zX8KOeeH6WMZL5HP6J/OMQ4szx8M2MmwhjG8Qv4x2BDYkKcyxIe+ZXpMhhLsj8irHd85GUGdT3c5IAP4MvZ/OTjV02BCDL8TMlEe6Q4/grItE58cb8g3kFbWaOwuaXJ948rLT7WthIgNBj7sOG88MPP+zswu+Y6+ArPGHuh/4ELviFDWrmzS+//LLts88+7k+Uy9yP4Axwu/nmm4vglagd8vV5+Rr5mlzzNf5vORnCPZFxiHFWaxqtafLVf6jd6UVAhHt68VXpEUbAm5xyURMLJI67QnaxMILUhgwkkogFHAuLWLIJQpmoVBYfENuekLP7+eefd+97Ecle5GxsSpnSCHdIM6KAKBPC2pO//vrLkYEQaf7fx8LNQhXi/NVXXy3WEkRzUd6PP/5YGEX71ltvuWgxctknQ7gTXUtEml/YtCC6iqj3nj17uj95Cz1+D2HpCYs5sCO/PgtiT8APfYmK9/8+SDfzCGQvcp3FMLiy0ENX9EPoC9TtRcLHEu4Q/2DKRI4yPGKbPkA0GZsjvIOUlsOddvrxoGzsDekPKeBJUMKdkxnY0YuI996nP7NYT4QwDUK4s/CfNGlS4aaPdzkwBDRRix45jq0gM2IJAqLY/ambIDo6derkyA6OnHNyAIG0wE6lEc/F9YN4/REyn80sCBwv2o/vFJ2IvDz66KNdcRAKfAdsGIAJQuQep1ggLbx0K4wf9E3wKIlwhwCh/7OpwKkDT9isIzre//ughDubNBBQREBCWBCxCbEECcLJATYLKBtJtI/QfogaFnLgIEkMAfmZdXjJz8jP+L+cc889182T8FeMvyUR7pDgzKe8Uz6eP8FXE0Dg3YHDeEqZkOvemE65+Fn8CcESfn+C32e89u6k8PxXacRzIn6GcRfd/T7Z06k03w/JDlnPhj5zOQR/RXAC/y2JcOd0IHMR/Jn/VBunAfB9zHV32GEHV2ZQwp3gETai8TOcIvDmYMx7wBhf450U5LQCQSUQ7H5h/sWmhBfQ4v2NOYp3PwjzB0niCMjXyNfk2prG/xUkQ7gnMg6xltOaRmuaxEdevSEESkdAhHvpGOmJHEWguJQfkEosSiD4EI9wZ0HhvyyQaCmONRPB64+6JYKbhR3RVhCnSLKEu7fAIcKWKCK/kMKCKGoWc8UJ9aI3hCWLtFghgpXI6nhELIsiInmTIdz99UBEsnHgRdwSvURUm3+hx6KQNDmecDoAQhPSNjaSnefYCGFTIBFhU4GFnLfQIwqbS0HJew0ZTDQW0eYsJiG7ucALiSXcvfQsRLR7fYTnIMs5sp0I4Q4JTvS/X2IJ/0TaSKojbBobVUa0G5Hk4A7+QSQI4U50PymYPCHqDmKATSsvhzx/8zanWHwTleh9E19++aUjR/zR+KRUwb7+zSmiEekHnCxgE6YsQmQlkegQ3JxS+eabbwpTpPC9xNMJUp3oeogPhM0oMOZ3ft09Ir4kwh0bsIHHdxt7CS8R6URrkmomESFVkPf9MP54GxXeN8fmHEQ/kso+koiO+fqs/Iy5MUl+Rn7GGwPw6xAh+FLvPoiSCHci0Ekp5onnT/z5wfkbG4ycjILc3njjjd3jlBvrZz1/QqS3PxjB81/M6zjtVxahDlL6MZZDTDO38DYM4ulEXbG+nxMAbDZAjvsFIp75ZUmEOz4LHGJzujNfpdzYQJEgbWWDmnR3nBbjRIGXEob0MJygIwAEoh8haAG/w2avX5iz8jfmeNhKkjoE5Gvka3JtTeP/OpIh3BMZh5iPa02jNU3qRmSVJATWIyDCXb0hbxHwJqcs5FiAECVFRA6LBP9xYgh3ok4h6fy/J3IJ0o3Fhl+8xZw/XUWyhDtHp73UL/EMRfoI6itOiKBi4cVijwUuOhO560UheZsD8RaYRDJBMCZDuBN9RRQ6UeNeChdPR35P3nvEi6zy5/Pk9yywSS9SnKA/i+NEBTtz7JtFIZsiHIGG4GShy+KUaDsigP0X6cYS7qToGDZsWJFFvacHUV/kIw0a4c4xb/LW+4W+wsQP0jZRSTR6uaTygxDuRMr57eSlAAAjf7/10hFRpkew0E7vZIVfD8iIeLiACRtYEA2JCpsa3FHAxhUEv1/8mz3F6cQYwHMQHAhjBJs3/M4vHJPneyuJcGdCH2tzfxn0HwilRIQoT9LlQNhDaPgF4oj+TgQhY1wq+0giOubrs/IzZvIz8jP+759UJ5w68pPBJRHuxfkT5hdsmHvifWuMh96FmyX5k+L8FxvubPgnKhDjnC6C9GK89Ys/YKM4nWJ9P9GWzE/YoPWLl/awJMKd9GTMZ4oTSHs2KBIRb07AvMmfHo4y2EjH/3v+J5HI0kR00LPFIyBfI1+Ta2saf29PhnBPZBxijaE1jdY08jFCIB0IiHBPB6oqMysQKC7fYazy3qWpRIv6JROEu0fuElkU75gtBJp3WVZxoEN+Q+AR5U5UNhG+RHmTDzURIgRykbpij1t7+cH96T7I0ckRbo6NE/FM3myirMGMBSlEO+IR7kSH+y/IYtLD8W6ISf+lll4bKY9L1hIVyEeirDlGTrQZuBClTlQ7kd8sUNmAYYPCqzedhHvsJXG0J97lZ0HbSX5uUrTQVzORwz02kt1/yR0bTp54hDt507kQ1WsnE+jYNEvxiBee9y408kfOB8EFWxJ9x+YU0eVEvJA7n80kNgX8/bm4jbHYi0/LQrjzDZAChk28eEJEIxtAiQi5bzkVwDcB2eMXTq9cd911hRGWqewjieiYr8/Kz8jPyM+s//ohajllQ8o2/+WkpD1hXGXzn41rxutE/Ak1xPvWEvEnxdUXZOxiHsSpQFKicUkq0d9EghPhTTS3nxwvTqdY318Wwh09qJ9TV/EE/cA7EWFOR2o1NgE4neAXfsepMSLokURyJyeig54tHgH5GvmaXPM1/t6eDOGeyDgUb42RiA8qbv2QiA8KMr5pTaM1TZB+omeihYAI92jZQ9pkEIGyTk6LSykzbtw4R3ylIqUMBCXHdFnIkMairAIRS+oJos6nTZuW0FH/7777zhGBpLkhd70n3gLaI9xZcLFg9key8ywpNIgwD0K4c1SclC/k9OadVAk6QrpzqZp3ARvEO5d3cboBwh0yH7w9KUtKGfLJQjDHywkbdNGdSNvZLCAKnIhuItw8gYQnBZE/Z2xp5QaJcM8Gwp0861yaGpu2iKP+XCaXDOFelpQyYEbKKja+Yu85KM0mJf29WbNm7rLV2BM3pABgHCE9FCd0UtlHyqJvvrwrPyM/w6a3/My6L764tBf+8cBLN5II2eEv239CLRGyoyyEOxv2pKGLTT3o3e2SDOFelpQypMvhFGBs2rOyjLv4LIITmN8yl/AL88pZs2a5NIAIwRbYkb7P5okn5HsHk9hTjWXRS+8W/bb8/T8eNsUFEWlNsw4trWnW4RAvTWam1zT+/psM4Z7IOJQthLvWNFrTyOdlHwIi3LPPZtI4RQiUlQjx8oiygCDFiCdE+jzzzDMpuTSV9BdEIhEJRs5yCDW/MCEiIrY4mTNnjlsg+QUCH5KRd5Ggl9mRuoayOIrsj5qCUGYS5hHu6Ay5QPQ65J3RxIIAACAASURBVLonEI2jRo0KRLgTLUb0FcfFSYfhj9Zeu3atW8TFtitItyDvKLnsKRuyk0hjhNQ9pEYhUpg84aQf8STepalEE0O6lnZpKicKOD4fu0lB2YkQ7t6Fa94lvMW1lU0UctdCJHuR4ODVq1cvd9QbMsCL3CevMjalzNh+Rfm5QrhjI9K0EGUPDggXgZLnnPztyRDuI0eONCL4k7k01TspwpjB2OGXVatWudMJ3r0F2Ac7QaZ7+X+Lsz35cEkRwEkWonoQFijYl+hRL9d+In0kyDelZ0pGQH5GfkZ+Zr2fgWj17sLwfzn4LO7PgYzlvhrGrWwi3AmwYG6Ezt7l0ozfpEdjDE+GcB88eLDbIE3m0lTS0ECssrkLtn4hnQ8nDslt7/kJfAV3FFWvXr3EAY1gC/LeczKNKHqEQAVsBmHr5dr3Ak/8efZJy8ipPuZunK6UpBYB+Rr5mlzzNf4vpDTCnb/HjmOJjEPZQrhrTaM1TWo9h0rLBAIi3DOBsuqIJAJlnZyyYCF1CkQeaRqI/obsgoiH/CK6x5Nkc7jzPtHJ5F0nYhkyH4KdRSsEGsd7S0qxQdQ2dZPPlKhzcpuSqoUoaPKAIpDCRENRPtHfkNksHlu2bOnIPy+HO88efvjhjohlYcmCmIUX0fJcNOlPKQOxSV1EfEFOgwsLTiKugkS4U5eXTmeHHXZwEfVcTEsZkNcsIL2UJV66En+5JXU4yEsisVjMehh4qXV4z0/M8u9Ywp3fcQkaF62Sj5sfJrmkv4HIBUsvhzv1gCP5tUmTwxFxcp1yuWoihDvPIn5bFNdGTgawyAUj6oUUpq+QwuSII44ofM27DNhPBPBHLlNDiJInRy59gtzgiH8jIgqTU3Sgr8VeDOfHhk0nNlmIsqPf8g4pmvh+6Y/JEO58FxAM5KAnTQ19CnyxPyS+vw/FpqNBN/oCRAibMWzcsOHBCRAi0SHNvbQ7Xt/zf1vF2R1d2DxDt7POOssR9KSOIsKRNDP+NDVB+0hJ35H+FgwB+Rn5GfmZh4sQzvG+nJJyuMdejhovRZnfV6cywt0j/f2XocfTn9N43C3DZj7EM+Mwp6g4MYefSYZwZ+ymTFIHMl+BIL/vvvtcSjT8jJ/cj01Hg3/j5B7zEgIXmCuuXr3apdMjIIRTfF27dnVN8VL7xTuJF9tW7i1is5r5GP4UoX+zWcw8iPmeJwR3MF9jHkhaNzYBxo8f79L6eZd8BxtF9VQQBORr5Gty0dcwXydYiHsxWHeRp551FMLa2NvgLG4cCzoOaU2jNU2QcVbPCIFkEBDhngxqeicnECjr5BQQWFRxAejTTz/tIsZZNEJ0cuGWPyq7LIQ79bDAhICGGCZKiEVNz549HXHuXQ4Wzyj//e9/jYscOebLe0xMmKBwzM4f1Uw+VchUoqAh0iFd2TigXj/JS/QAZCGLOMhjJjIsBIla8pOC06dPd79nAUeENaQiRGLz5s0DE+60B73YuPCiNoj2J/8rCz0v1QykPwtLyEUWuqUJOkNsYjP+P7Jy5UoXVcyikag0FrSexCPcWcyCEXWST48FKBsfkO3Y2iPcKYMFMpNEJowseL1FbboId3QjZzeELpF1kM1EU5NSxi/FEe7+fhuLJbb0JOzJKd8ei/54+WRj9Sb3LN8kxEe9evXsqKOOcv2I/P3JEO6UD4FCH+f4MaQKqVvYHOJSWL5T+gQSj3Dn95Ax2AgCA0KF/gABz2YdBD6SCOHO83y/bERBaNCnuRiYcYONF78E7SOlfUv6e+kIyM+sP5UlPyM/U9wXE1XCnUhuNle5CwM/XpIQecg8ivkWd+6Qy50ACTatkyHcqQtinfkORDVlcVIQ4p3fsaFPUAUS7+4XfADzp0ceecQ43Uf0OifgOPGFn/FSvSRCuFOXd/8JG7mkKYP8YlOEuYZfli1b5k4MckqRVINsHlx11VXO70pSj4B8jXxNLq5pGNs4GRpP/PP34saxoOOQ1jRa06R+VFaJQmAdAiLc1ROEgBCIi0BxRGHU4CJalwu8WFCyCSDJDwS4jK5///6ORIcQiYJ4eXxJ2+KP9IuCbtJBCEQRAfmZKFpFOnkIkAaPOQZp3TxyO2x0IMvZrGXTOd6l8mHrp/qFQBQRkK+JolWkk4eA1jTqC0IgdxEQ4Z67tlXLhECZEMiWySnRu6T0ic1TWqbG6+XII8ApDU5SkHIpDCEPrv/SU6JoSOnCKQbv4rgw9FKdQiCbEJCfySZr5Z+uBx98sIvcjr1vI1NIxPoZUqRxum+bbbZx9/pIhIAQCIaAfE0wnPRUOAhoTRMO7qpVCGQCARHumUBZdQiBLEQgWyanWQitVM4BBEj/wiVzW221lUtDxLF58t7H5srPgaaqCUIgbQjIz6QNWhWcAwjgX0ipwOWr3NNx//33u8vdlQc9B4yrJmQUAfmajMKtyrIMAa1pssxgUjerEBDhnlXmkrJCIHMIaHKaOaxVU/YhQPoY8vNzxwFR7Vw6TOoBLqiTCAEhEAwB+ZlgOOmp/ESAC9q5qJ40ZeQYJrKdC+J32223/ARErRYCSSIgX5MkcHotLxDQmiYvzKxGhoSACPeQgFe1QkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASGQWwiIcM8te6o1QkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEQEgIi3EMCXtUKASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBISAEhEBuISDCPbfsqdaUgMCaNWvcZVO1atVyuTAlQkAICAEhkDwCa9eutYULF1rz5s2tfPnyyReUQ2/Kz+SQMdUUISAEIoGAfE1RM8jPRKJbSgkhIARyCAH5mRwyZsSaIsI9YgaROulDgEunWrVqlb4KVLIQEAJCIA8R+PPPP61ly5Z52PINmyw/o24gBISAEEgPAvI163CVn0lP/1KpQkAICAH5GfWBVCMgwj3ViKq8yCKwYMECq1u3rjGQ1q5dO7J6SjEhIASEQDYg8O+//7pNzPnz51udOnWyQeW06yg/k3aIVYEQEAJ5hoB8TVGDy8/k2Qeg5goBIZB2BORn0g5x3lYgwj1vTZ9/DWcghRRioirCPf/srxYLASGQWgQ0pm6IpzBJbR9TaUJACAgBjatF+4Dw0DchBISAEEgtAhpXU4unSluPgAh39Ya8QUADad6YWg0VAkIgAwhoTBXhnoFupiqEgBDIcwTka0S45/knoOYLASGQZgTkZ9IMcB4XL8I9j42fb03XQJpvFld7hYAQSCcCGlNFuKezf6lsISAEhAAIyNeIcNeXIASEgBBIJwLyM+lEN7/LFuGe3/bPq9ZrIM0rc6uxQkAIpBkBjaki3NPcxVS8EBACQkCEe0wfkO/VRyEEhIAQSC0CGldTi6dKW4+ACHf1hrxBQANp3phaDRUCQiADCGhMFeGegW6WkSpWr15tK1euzEhdqkQICIGiCFSqVMkqVKhQLCzyNUWhER7Z+QXJz2Sn3aR1biAgP5MbdszGVohwz0arSeekENAENSnY9JIQEAJCIC4CGlNFuGf7p7F27VqbNWuWzZ8/P9ubIv2FQFYjULduXWvatKmVK1dug3bI14hwz+bOLT+TzdaT7rmEgPxMLlkze9oiwj17bCVNy4iAJuxlBFCvCwEhIAR8CGhMFeGe7R/EzJkzHdneuHFjq169elyyL9vbKP2FQJQRgIxcsmSJzZ492yBDmjVrJsK9FIPJ90a5R2+om/xMdtlL2uYeAvIzuWfTbGqRCPdsspZ0LRMCmqCWCT69LASEgBAogoDGVBHu2fxJcLz/559/dmR7gwYNsrkp0l0IZD0Cc+bMcaR7hw4dNkgvI19T1LzCI3u6u/xM9thKmuY+AvIzuW/jKLZQhHsUrSKd0oKAJqhpgVWFCgEhkKcIaEwV4Z7NXX/ZsmU2efJka9OmjVWrVi2bmyLdhUDWI7B06VKbMmWKtW3b1qpWrarN3RIsKt+bPd1dfiZ7bCVNcx8B+Znct3EUWyjCPYpWkU5pQUAT1LTAqkKFgBDIUwQ0popwz+au7xEh8Qi+bG6XdBcC2YhASd+jfE1RiwqP7Onh8jPZYytpmvsIyM/kvo2j2EIR7lG0inRKCwKaoKYFVhUqBIRAniKgMVWEezZ3fREh2Ww96Z5rCIgICW5R+d7gWIX9pPxM2BZQ/UJgPQLyM+oNYSAgwj0M1FVnKAhoghoK7KpUCAiBHEVAY6oI92zu2rlMhLz//vvWp08fmzdvnruIMhvkmGOOcRfYvvjii9mgrnRMMQIiQoIDKt8bHKuwn5SfCdsCReuXn4mWPTKtjfxMphFXfSAgwl39IG8Q0AQ1b0yd1Q1dumK1PfjJZBu4fRurUaViVrdFyuc2AhpTRbhncw/PBSLk008/tZ122sn69etnY8aMKTRHaYT7mjVrbfGKVe75WlUrZdSMXp7ur7/+2rbaaqvCuhcsWGBr167Nmg2CjIKWB5WJCAluZPne4FiF/WRe+5mC8XzJ8lW2cnXBuF69kpUrVy5j5pCfyRjUWVWR/ExWmStnlBXhnjOmVENKQ0AT1NIQ0t+jgMAR935mn/w2x07tvYmd169TFFSSDkIgLgIaU0W4Z/OnkQtEyKBBg6xmzZp2//33208//WTNmzd3JimNcJ+zaLlNn7/UalSuaJs0rpkSM65YscIqV65calnFESGlvqgHchoBESHBzSvfGxyrsJ/MZz/Dxu6EGQucCTo3q20VK5QvsznkZ8oMYV4XID+T1+YPrfEi3EODXhVnGgFNUDONuOpLBoG3Jv5lJzzyhVUumJj+b+jO1qZhjWSK0TtCIO0IaEwV4Z72TpbGCrKdCFm0aJE1a9bMvvjiC7vssstsiy22sAsvvLAI4f7qq6/asGHD7Oeff3bR5Pfdd5916dLFVqxaY+9+McGGX3KefffFOIPEaNOmjY0YMcL22msvV8bYsWPt3HPPtW+//dbq169vAwcOtKuvvtoqVlx38qp3796uLP792GOP2eabb27vvfeei2IcNWqUvfzyy474R8frr7/eDjroIPdebJRjr1693HOxR/2XL1/u6n/qqaeMsaZr16520003Wbdu3Yq08e2337bzzz/fJk6c6Nr44IMPWseOHdPYc1R0OhAQERIcVfne4FiF/WQ++xmwf3v893bVRefKz4TdEVW/Q0B+Rh0hDAREuIeBuuoMBQFNUEOBXZUmiABH6gc++Ll98PPftkunxvbAMevIBYkQiBoCGlM3tIgwiVovLV6feAsvxt+lK1dnvBHVKlVI+Lj9Aw88YHfeead9/vnnBrF+5pln2i+//OLK8SLcN910U7vlllusadOmjoyfMGGCI98rVapkfXbvZ8uWr7AbbrjBmjWs6wjr2rVr284772zTp0+3Dh06OBJ88ODBNmnSJDvhhBPstNNOs8svv9zhA+H+5Zdf2imnnGLHH3+8+x1EN/U3aNDArr32WlfWo48+asOHD7fvv//e0Ad9t9tuO4Mo32yzzVxUPIR+LOE+ZMgQe+6559wmQevWrR1pD4n/66+/uue9Nnbv3t2uu+46a9SokZ188sm2evVq+/jjjzNuQ1VYNgREhATHT34mOFZhPxklPwMWifqaVPmZG0feYE0ayM+E3R/zvX75mXzvAeG0X4R7OLir1hAQ0AQ1BNBVZVII/Pb3Iut38wcu7+EDx3QtIN6bJFWOXhIC6URAY+qG6AqTdPa41JYdb+G1pCCveedL30xtRQFKm3hlX6tekN4lEdlxxx3tkEMOMYjpVatWuUjyZ5991hHhHhlNdPihhx7qip07d661bNnSHnroIfde5802t979+tuwiy6xVvWrF6n6oosusueff95+/PHHwo0AotaJJCfXevny5V099PevvvqqyLsQ7hDfbAZ40qNHD9tmm21c5HtxKWX8hPvixYutXr16TtcjjjjCFbNy5UoXhc/GApHvXhsh7nfddVf3zGuvvWZ77723LV261KpWrZoInHo2ZAREhAQ3gPxMcKzCfjJKfgYsEvU1ZfUznTbrYrv028euuuJya1CzivxM2B0yz+uXn8nzDhBS80W4hwS8qs08ApqgZh5z1Zg8AsNf+9Hu/uB3a9Ogur1ZkFqmSsUKyRemN4VAGhDQmLohqMIkDR0tTUVGiQhJlAQhXzvpXIhEb9y4sUPo9NNPd2Q4EeUeGf3HH3/YRhttVIjg1ltvbfvtt59LQXP7nXfb0DNOty5bbWv77LmHS/lCWhrkgAMOsDp16rj0LJ6QWoaULV6ZEO7t27e3e++9t4iFINwffvhhGzBgQOHvhw4dat98841LOROEcP/uu+9syy23dM8S3e7J/vvv74h4oi69Ns6ePdtFtyNcxAqxH9vuNHUhFZtCBESEBAdTfiY4VmE/GSU/AxaJ+JpU+JkRt4yyC88ZYltv29X27LuHHXjggfIzYXfKPK5ffiaPjR9i00W4hwi+qs4sApqgZhZv1VY2BBYuW2m7jhxrsxcW5LHt29FO69OubAXqbSGQYgQ0pm4IqDBJcSdLY3FROuqf6DH/8847z+Vbr1Bh/UYs6XCqVKliM2fOdMRznz59NiCe/YT7moLn3/1ior3/9pv2/bgP7fXXxtjIkSNdCpmghDsE/M033xwq4T5v3jyrW7eu0wFSnzZOnjzZRcNLsgcBESHBbSU/ExyrsJ+Mkp8Bi0R8TSr8zOyFy+ybH3+1Lz581774+H2X/kx+Juxemb/1y8/kr+3DbLkI9zDRV90ZRUAT1IzCrcpSgMCLX0+3M5/+xqpWKm/vnN3bWtStloJSVYQQSA0CGlNFuKemJ4VTSrZeZkf6GFLDQIbsscceRcAjev2cc86xTp06OcL96aefduljEIhp3iNq3fvdlH8W278Fm7tNa1e1m4ZfYWPGjDGiy4tLKXPBBRfY/PnzC1PKFEe4k9ed9DGebL/99o4I53czZsywFi1auMtet91228JnYlPKkKcdXf0pZdq2betSytBGL8JdhHs430+qaxUREhxR+d7gWIX9ZL77mflLVtjUuUusRpWKtkmjmu4Sb/mZsHtl/tYvP5O/tg+z5SLcw0RfdWcUAU1QMwq3KksBAkQsHnr3ZzZ+ylzba/OmNurI9eRECopXEUKgTAhoTBXhXqYOFPLL2UqEvPjiiy4vO6lUSPviF3Ksv/vuuy76HcKdS0m5NLVJkyaORCcCnItVuagU4nrH3rtZjcatbOWShTb84nNc+hZIeu/S1GOPPdalqiG1wKBBgza4NLU4wr1hw4buItOddtrJHn/8cbv66qvdpamdO3d2+ea5nBV9KJNc67Qj9tJU9CMn/f333+/S4niXpv72228urYwI95A/oBRXLyIkOKDyvcGxCvvJfPczpw0+w7p072XtO7S3+hVX2amnnio/E3anzOP65Wfy2PghNl2Ee4jgq+rMIqAJambxVm2pQeDHmf/a3rd+aGvWmj12fHfbqX3D1BSsUoRAGRHQmCrCvYxdKNTXs5UI2WeffWzNmjUuSjBWxo8fb927d3ckO5epvvLKK0ZUOiQ75Dj51r087aSOee31123atGlWo2Yt22vPfnZLQXqYBg0auGLHjh3rLicldzvR5gMHDnTEecWK6y53JYd7cYT7HXfcYWwMfPDBB+4yV8h3L6qed++77z678sorHbHfs2dPR57HEu7Yhyj+J5980hYuXGhdu3a1m266ybp16+bqF+Ee6ueT8spFhASHVL43OFZhP5nvfubU0063V8e8Zn/NmmF1CjZa+/Xr58Zx+Zmwe2Z+1i8/k592D7vVItzDtoDqzxgCmqBmDGpVlGIELn/5B3vokym2caMa9vqQnrpANcX4qrjkENCYuiFuwiS5vhTGW9lKhKQaq5//WmjLVq62jepXt7rVK5e5eC5NHT16tLucVSIEgiIgIiQoUmbyM8GxCvvJfPcz3BXyw/QFVhAzZJs2q22VKpRPiUnkZ1ICY94VIj+TdyaPRINFuEfCDFIiEwhogpoJlFVHOhBYsHTdBar/LFpu5/XraKf21gWq6cBZZSaGgMZUEe6J9ZhoPZ3vRIhnjZkLltrfBZdzQ7ZDupdVRISUFcH8fF9ESHC7y/cGxyrsJ+VnzDipu3L1GmvXuKZVr7zuhFRZRX6mrAjm5/vyM/lp97BbLcI9bAuo/owhoAlqxqBWRWlA4IWvptlZz3xr1SpVsLfP7qULVNOAsYpMDAGNqSLcE+sx0XpaRMg6eyxavsp+/3uRVSxfzkUgQmSURUSElAW9/H1XREhw28v3Bscq7CflZ8x+nb3IlqxYZa0LNnTrpOAUFTaVnwm7Z2dn/fIz2Wm3bNdahHu2W1D6B0ZAE9TAUOnBCCLgLlC9p+AC1clzre9mTezuo7tGUEuplE8IaEwV4Z7N/V1EyDrrceSfCMTVBReFbNKoptWokpoIxGzuG9I98wiICAmOuXxvcKzCflJ+xmzqnCU2f+kKa1anmjWqVSVsk6j+PEZAfiaPjR9i00W4hwi+qs4sApqgZhZv1ZZ6BH6atdD2KrhAFWLkgWO62i6dmqS+EpUoBAIioDFVhHvArhLJx0SErDfL1DmLCwiRlda4VlVrWqdqJO0lpXIbAREhwe0r3xscq7CflJ8x89KWNaxZxZrXrRa2SVR/HiMgP5PHxg+x6SLcQwRfVWcWAU1QM4u3aksPAte89qPd88Hv1rJeNXtraC+rVrlCeipSqUKgFAQ0popwz+aPRETIeuvNW7zC/py3xKoWpCzr0KRWNptVumcpAiJCghtOvjc4VmE/KT9jNqfg/qnp85danWqVrHWDGmGbRPXnMQLyM3ls/BCbLsI9RPBVdWYR0AQ1s3irtvQgsLgg3+7uN461GQuW2Wl9NrFz+3ZKT0UqVQiIcE+4D8jPJAxZaC+ICFkP/aqCC+0mFqSVQTo1rW2VK5YPzS6qOD8REBES3O7yM8GxCvtJ+RmzfwtOT00pOEXFHVTttaEbdpfM6/rlZ/La/KE1XoR7aNCr4kwjoAlqphFXfelC4I0Js+zkx760ShXK2etDelq7xopITBfWKrd4BDSmboiNMMmeL0ZESFFbeRfbtSg48t+g4Oi/RAhkEgERIcHRlp8JjlXYT8rPmC1dsdp+mb2w4GLu8ta5ee2wTaL68xgB+Zk8Nn6ITRfhHiL4qjqzCGiCmlm8VVv6EOAC1eMf/sLenTTburetb0+d2MPKlSuXvgpVshCIg4DGVBHu2fxhiAgpar3Z/y6zWQU/tapWsrYNdew/m/t2NuouIiS41eR7g2MV9pPyM1Zw79Qa+2HGuhNUmzWvYxXKa70Sdr/M1/rlZ/LV8uG2W4R7uPir9gwioAlqBsFWVWlH4M+5S2z3m8baspVr7IaDt7SDtm2Z9jpVgRDwI6AxVYR7Nn8RIkKKWm/pyoIoxL8Wus3bzs1qixTJ5s6dhbqLCAluNPne4FiF/aT8zDoL/DB9ga0uCBbijhDuCpEIgTAQkJ8JA3XVKcJdfSBvENAENW9MnTcNvWvsb3bt65Osfo3K9s5ZvaxewX8lQiBTCGhMFeGeqb6WjnpEhBRFlZNTP81aaCsK8rlzsR0X3PXu3du22moru/nmm9NhApUpBAoREBESvDPI9wbHKuwn5WfWWeDngs3cZQWbupye4hSVX+Rnwu6l+VO//Ez+2DpKLRXhHiVrSJe0IqAJalrhVeEhILCygBjpf+tH9lPBRPaQri3t+oO2DEELVZmvCGhMFeGezX1fRMiG1ps+f6nNWbTc6levbC3rV48c4T516lQ75ZRT7L333rOaNWvawIEDbfjw4VaxYsVSu+Ly5cute/fu9u2339rXX3/tNhIk0UFAREhwW8j3Bscq7CflZ9ZZYMo/i+3fZSst3h0hUSPczzjjDPv4449twoQJtummm9o333xTajfCzmeffbY99dRThq/p27evjRo1ypo0aVLqu3ogcwjIz2QOa9W0HgER7uoNeYOAJqh5Y+q8auiXf8y1A+/81LWZXO49Nm6QV+1XY8NDQGOqCPfwel/ZaxYRsiGGCwsIkckFxAiX223arJb16dMnMhHuq1evdro0bdrURowYYTNnzrQBAwbYCSecYNdcc02pHWLIkCH2yy+/2Ouvvy7CvVS0Mv+AiJDgmMv3Bscq7CflZ9ZZYPq8gs3cxcutca0q1rROtSJmiSLh3rFjRxs3bpx99913gQh3NoLHjBljDz30kNWpU8dOP/10K1/gRyHuJdFBQH4mOrbIJ01EuOeTtfO8rZqg5nkHyOHmXzj6e3ti3FTbuFENe31IT6tSUfkRc9jckWmaxlQR7pHpjEkoks1ECARFly5dXKsfffRRq1Spkov8vvLKKwsv0CbK7qKLLrInn3zS5s+f756/7rrrXNQ6MmfOHEcKfPDBBzZv3jzbZJNN7IJhw2yrXnu7XLvtGte0vfbYrQjhDqFwxBFHuMi9I488cgPUu3btaocddpidc8457m/77befIyEon4j0adOmWatWrRzx3a5du4SsBlHev39/mzFjRmHU4F133WXnn3++/f3331a5cvEp1Xj3rLPOsueff94222yzUgl38thT9iuvvGLvvvuutW7d2h544AFr1KiRDRo0yD7//HPbcsstHfbghlx++eX24osvGtGR/P+5c+e6DYHbbrvNRo4caTfeeKOtKbg8EOIfu0iKIiAiJHiPkO8NjlXYT8rPrPMz748da/PnzbfWbdvaZZdcbIcffnihaWIJ9zD9jL+/eGN6aRHuCxYscL7hiSeesIMOOsgVMWnSJBcd/+mnn1qPHj3idsM2bdo4f/Lzzz/bCy+8YA0aNHD+Yvvtt3e/f+edd2zjjTd2vgffikDon3nmmfbYY4+5iPo///zT9tprL3vkkUfs2Weftcsuu8zQ5+ijj7abbrrJKlTQetAPvvxM2CNiftYvwj0/7Z6XrdYENS/NnheNXrB0pe1241j7e+Fy0U5YaQAAIABJREFUG7Jrexu6e4e8aLcaGS4CGlM3xF+YhNsnE6k97sKrgGi2lUsSKSY1z1aqbgVMeeCyICi+/PJLO/744x3R/sUXX9iJJ57ocq0T8Y3w34kTJ9q1115rzZs3t9GjR9vFF19s33//vbVv396mT5/uyPjddtvNateu7YjxoUOH2vOvv2NtN92yIBKxqh32n36FhDtkwsknn+xIBYjveAIB8NNPP9mrr75q5IRv2LChi/KDmO7Xr589/vjjjiCHeEcoD+KgJFm0aJH786WXXmovv/xykWjDyZMnO0Liq6++sq233jpuMX/99Zdtu+22jgxHn7YFhE9pKWUg3Fu0aOFIcqLq0RnShbrOO+8822ijjey4446zunXruoh5BHIGYp12XnHFFfbbb7858oVTAh06dLDTTjvNPvnkE/feZ5995tLbSNYjICIkeG+QnwmOVdhPRsrPAEYCviaVfqb7jr1s4ZpKNm7s2/bfSy9wY+F2223nzOMn3MP2M/7+EpRwZ1N21113dRvL+ARP2KiFHMevxhMI94ULF7oTWrvssosjyPGRO+ywg/MTbOrie/CpP/zwg9tMh3DH14MZG+i8f8ABBzgfR90Q7r///rsdeOCBjoQ/9NBDw/4EIlW//EykzJE3yohwzxtTq6GaoKoP5DICY76baac98ZVVqlDORbm3a1wrl5urtkUAAY2pGxpBmESgYwZUIe7Ca8Vis2uaBywhhY9dOMOsco3ABbLYnj17duEinBcvuOACR0hDspPrHHKY/0K2ewK5DslRXAoWiPQ2m7S3E8+9zKpWqmAnHrqPI5wh6InKfumll6xXr17F6klEOJF1RM+T/xbymQV/1apVHfHPJsCSJUscqYDQBr6ZksSLhIdk+OOPP+zNN98sfJyyatSoYa+99prtueeeGxQD6U/034477ug2G6ZMmRKYcOf5q666ypUJQU7U4f333++IEIRcvccee6wtXbrU/RtyhlQ3s2bNslq11vlf2g9ZAvnOxgPSqVMnO+aYY5y9JOsREBESvDfIzwTHKuwnI+VnACMBX5NKP7Nk+Sr79e9FBWuU8nbuCUe4cfCGG25w5vEI9yj4GX9/CUq4s0mAL+BUmV/wtWy4QozHEwj3nj17ug1pBN/RrFkzu+SSS9xpNcTzPaRQI50ahDt1/frrr4Wnq9i4pgw2lzlJ5vkeyueklkR+Rn0gXAREuIeLv2rPIAKaoGYQbFWVcQQgFgY9/IW9M2m2dW1dz545afuCBX7wiMmMK6wKsx4BjakbmlCYZE+3jhQRkgAJ4hEU3lFzD3HIcCKqadcbb7zhotAho/0CIUA03NNPP23kRId4f+aZZ1y0+4oVKxxhQBqYS2+6z9YW/G/wkf9xZDHEOLlou3XrVqKBSV3DsXhy3xLByA8pZiDbIQ6I9D733HMLo/AT6S3JEO633nqra9/YgnQGHK1PhHDnvYMPPtip6EXSjx8/vhADLm4lKpHj+5wQgJzhSD+RiJ5wqes///zjTg94woYF0YhEz0tEhCTTB+RnkkEtnHci5WeAIAFfAxGeKj/zdMF4+uef02zlypW2csVy23///d3Y7PkzCOQo+Bl/L8kE4c7JJ3wiwjqOjdl4vofLvrfYYgtHuPPO4sUFwQH/L0S1P/fccxv4HqLfSVUjkZ9RHwgXARHu4eKv2jOIgCaoGQRbVYWCwPT5S22PgtQyi1estqv262JH92gdih6qND8Q0Ji6oZ2FSfb0/Ugd9U/gmL9HUJREhLD4Jsc65G9sDlci4IiUgwQnwpA0NJtvvrkj5zn+XrFiRRt572O2uCAi8ZTD97X6deu4lC377ruvy93OsfaSZJtttnF53sldu/vuu9shhxziovZIZcNFdER8Q7wj6U4pw+YBUfd+ndloABPwefjhh+M2hedJwcP7SDyi/v3333fRi14agXjkDJHsbEKQzsaTqF0QGJUvVhHuwS0hPxMcq7CfjJSfAYwEfE1phHsifoZ0KdWbtrUqVavbqGsvscoF94544yL1cCooCn7G31+CEu5lSSmDz+XHk9J8j5fDHb/iSVDfE/a3EIX65WeiYIX800GEe/7ZPG9brAlq3po+rxr+0MeT7fJXJlrNKhXt7bN6WdM6VfOq/Wps5hDQmLoh1sIkc/2vrDVl+2V2XBTqj6YeVnDhKVHupJThEjbIbS5E5ch6PNlnn32scePGLk0KwoWeHPPv3Lmz3fvo0zZzwVI7oSClzPbdtrVTTz3VHfsnOv72228vEXry1VI/0eAffvihK5O0NOSjfeutt9ylp54kklLGuzSVo/Xojdxzzz0uOpByqlSpsoFepNTxp6yh7r59+7poQHKot2zZMm5bSiM9eEmEe1m/wKLviwgJjqf8THCswn5Sfma9n/lp1kJbumKlHbRrd+tScHm1n3DHR0TBz/j7S1DC3bs0lTtRyJ2OsLGM7yvt0lQR7pn9QuVnMou3aluHgAh39YS8QUAT1LwxdV43dPWatXbgnZ/YN3/Ot902bWL3Dti21IjEvAZMjU8aAY2pG0InTJLuThl/MduJEC5NJSf6SSed5CID+f9c2sm/kaOOOsqlgeF3XCgKQf/OO++4Y+l77723nXXWWY54Jhd5vXr1XIoTjrITtf3Mc8/bpAJy5PiD+9v2221rt95yiyMQIN3JyU5UfHEC6Q/p0KhRI4McRyAVIOpJ0QIpkYwQmQ4pQ07666+/3uW7JV/8oEGDCnPSQ/IPGDDAtZNLT2MlkZQyinBPxkrJvyMiJDh28jPBsQr7SfmZ9X5m0drKdvcdt9lbY160XQr8TCzhjl8J28/QX0hvw2Xd5D8ndRgp2BA2oytXruxSsHFJKpeSehe/cnk5d4kQgU6KscGDB7t3SKtWnJBjXYR7Zr9Q+ZnM4q3a1iEgwl09IW8Q0AQ1b0yd9w0liqT/bR/aytVr7fYjtrb+W4RwCWDeWyH3AdCYuqGNhUn29PtsJ0I2K4gQJCqdC9tIkcKC/+qrry7cYCVXLv+GFIAgaNiwofXo0cOuuOIKl0Jm7ty57gJQyOnq1asbOdKJCCdaDyLk578W2pH77WnbbrO13VVAkiA//vijI90h8yHy4wnlUhepZCDzEcojZy8EhrchkExP4dJU2kl0OSlwyJFOahzS4CBe1Dk51yEzYkWEezKoZ+YdESHBcZafCY5V2E/Kz6z3M1WrVbP9Dx9o8/+eaSuWLIpLuEfBz+DjuPcjVjy/4vkRyHieRbDz2Wef7TaUuQuFk1SkYCN9W3Eiwj3zX6f8TOYxV40i3NUH8ggBTVDzyNhqqt341s926zu/WMOale2tob2sXo3KQkUIpBQBjakbwilMUtrF0lpYthMhRHuXFGleVvBm/bvMZhf81KlWyVo3KHr5alnL1vtCIBYBESHB+4T8THCswn5Sfma9BfAn+JV61Stbq/rVwzaN6s9DBORn8tDoEWiyItwjYASpkBkENEHNDM6qJRoILF+12vrf+pH9MnuRHbBNC7vxkK2ioZi0yBkENKaKcM/mziwipGTrLV2xyvmP8gUXiHZuVtvKly/5stRs7gvSPXwERIQEt4F8b3Cswn5Sfma9BeYvWWFT5y6xGgV3TG3SqGbYplH9eYiA/EweGj0CTRbhHgEjSIXMIKAJamZwVi3RQeDLP+bZQXd9YmvXmj10bDfr3XHdRXMSIZAKBDSminBPRT8KqwwRISUjv7bAcZCebMXqNdamIMK9dkGku0QIpAsBESHBkZXvDY5V2E/Kz6y3wOLlq+y3vxdZ5QrlrVPBJq5ECGQaAfmZTCOu+kBAhLv6Qd4goAlq3phaDfUhcOUrE+2Bjydb8zpV7c2hO1utqiJN1EFSg4DGVBHuqelJ4ZSSzURIphCbMX+p/bNouVIAZArwPK5HREhw48v3Bscq7CflZ9ZbYGXB5u2PM/81zkpt1qKOOz0lEQKZREB+JpNoqy4PARHu6gt5g4AmqHljajXUh8CSgrQA/W7+0B3jPLL7Rvbf/TcXPkIgJQhoTBXhnpKOFFIhIkJKB37RslX2+z+LrGJBOplNCyISy4kgKR00PZEUAiJCgsMm3xscq7CflJ9ZbwFOTU2Y8W/Bqdu11qlpLatcsULY5lH9eYaA/EyeGTwizRXhHhFDSI30I6AJavoxVg3RROCT3/6xI+4d55R74oTutsMmDaOpqLTKKgQ0popwz6oOG6OsiJDSrQcxQkTiqjVrbeOGNaymTkiVDpqeSAoBESHBYZPvDY5V2E/KzxS1AGnKuGNK/iTsnpmf9cvP5Kfdw261CPewLaD6M4aAJqgZg1oVRRCBi0Z/b4+Pm2qt6lezN4bs7C4tkgiBsiCgMVWEe1n6T9jviggJZoFpBaej5hZcdtegZhVrUbdasJf0lBBIEAERIcEBk+8NjlXYT8rPFLXA5H8W28JlK61lvWpWv0aVsM2j+vMMAfmZPDN4RJorwj0ihpAa6UdAE9T0Y6waoosAE1xSy0wvyMk7cPvWdsV/ukRXWWmWFQhoTBXhnhUdtRglRYQEs96/S1falDmLrRIX3RWkAVBamWC46anEEBAREhwv+d7gWIX9pPxMUQtMn7fE5ixeYY1rVbWmBXdLSYRAJhGQn8kk2qrLQ0CEu/pC3iCgCWremFoNLQaBD3/5246+f7z761Mn9rAeGzcQVkIgaQQ0popwT7rzROBFESHBjLCGtDIFeXdXF/y3XaOaVl2no4IBp6cSQkBESHC45HuDYxX2k/IzRS0we+Eym7VgmdWtXtk2ql89bPOo/jxDQH4mzwwekeaKcI+IIaRG+hHQBDX9GKuG6CMw7IXv7Mnxf7qJ7utDeiq1TPRNFlkNNaaKcI9s5wygmIiQACD9/yNT5yyx+UtXWKNaVaxZHaWVCY6cngyKgIiQoEiZyfcGxyrsJ+VnilpgfkF6sqkFacqqV65o7RrXDNs8qj/PEJCfyTODR6S5ItwjYohsUuOOO+6wESNG2KxZs2zLLbe02267zbbbbrtim/Dss8/aJZdcYlOmTLH27dvbddddZ3vttZd7fuXKlXbxxRfba6+9Zr///rvVqVPHdtttN7v22mutefPmhWXOnTvXBg8ebK+88oqVL1/eDjzwQLvlllusZs3gzloT1GzqZdI1XQiQWqbvTR/YjIIIkwEFqWWuVGqZdEGd8+Wme0zNRl+TbkxyvlNlsIEiQkoHu3fv3rbVVlvZFddcb38UkCSVK5a3jk2UVqZ05FL3xPvvv299+vSxefPmWd26dVNSMGmBRo8ebfvtt5+bm7dt29a+/vprZ+t0ir/e2HrCIkLkZ9JpcZUtP1O0DyxZscp+nb3IpSjbtFlt90fPz9x8883qMCEhkA4/0KZNGzvzzDPdD1LS+J/KZsfW6y87LD+TyvaprOxDQIR79tksVI2ffvppGzBggN11113WvXt3wzlCqP/000/WuHHjDXT75JNPbOedd7bhw4db//797YknnnCE+1dffWVdunSxBQsW2EEHHWQnnHCCI+9ZUAwZMsRWr15tX3zxRWF5e+65p82cOdPuvvtuR9Ife+yx1q1bN1deUBEREhQpPZfrCPhTyzwxqLvt0K5hrjdZ7UsDAukcU7PV16QTkzSYMK+LFBFSuvk9ImTkjTfZjzP/NdLLtC+ISqxWEJ0YhkydOtVOOeUUe++991zAxcCBA938smLF0vVZvny5m7d+++23GSGXU4XPihUrjKCTJk2apCx/vp/4YL79999/W8OGDQPhWJZ2RY1wl58pizX1bhAE5GeKorRq9RqbWOBLkC7N6xQE0ZWLHOF+xhln2Mcff2wTJkywTTfd1L755ptSTY2dzz77bHvqqacMX9O3b18bNWqUG7ezQdLhB2KJbwI169WrZ1WqpPeyXBHu2dDj8ktHEe75Ze8yt5bFCkT37bff7spas2aNtWrVykWfX3DBBRuUf+ihh9rixYvt1VdfLfxbjx49XBQNpH08+fzzz13E/B9//GEbbbSR/fjjj9a5c2fj9127dnWvvPHGGy5Kftq0aUUi4UtqoIiQMptfBeQQAheN/t4eHzfVWtStZm+c2dNqVa2UQ61TUzKBQDrH1Gz1NenEJBM2zac6RISUbm1/5OEfBRenLii4QDWsy+4gBJg7Nm3a1J2yJAiDABACNq655ppSG0Mwxy+//GKvv/56VhHupTYsiQcyFWkYq1rUCHf5mSQ6j15JCAH5maJwrS3YtJ34/3eCdCg4LVW1UoVIEu4dO3a0cePG2XfffReIcGcjeMyYMfbQQw+50/qnn366O5EPcZ+vUhLxnU5MRLinE12VnQwCItyTQS1P3yHKpnr16vbcc8+5Y6ieEGE0f/58e+mllzZABsL8rLPOKjxOxAOXXXaZvfjiiy7KKJ68/fbbtscee7gya9eubQ888IDbNSb63ZNVq1ZZ1apVXXT9/vvvH7ccdpj58QQihM0BouopVyIE8hmBRctXWb+bP7Bp85baYd1a2bUHbpHPcKjtSSCQLnI5m3yN/EwSHScir2QzEQIRzilB5NFHH7VKlSq5yO8rr7yyMAqavnnRRRfZk08+6eZTPM8JQ95F5syZ40iBDz74wM2vNtlkE7vwwgvt8MMPL7SQn3An9+5jz462YYNPtDtH3WFHHXXUBpYkKOKwww6zc845x/2NuSIkBOUTkU6QBPMwiO927dol1BMgyjkpOWPGjMKoQQI3zj//fBehXbly5WLL413mos8//7xtttlmpRLuEMOUTRrDd99911q3bu3moo0aNbJBgwa5ABBOZYI9uCGXX365m9sSHcn/JyqdDQHSLo4cOdJuvPFGF6QC8Y9dgkpsShkIHY7oE53Nf//880/baaed7MEHH7RmzZoVFou+1Pvrr79a/fr1XSpGL1impJQyXn3MxcF24sSJbqOD8iGhPGHOf8UVV7i/kwKStQDt8k4bYOPjjz/exo8fbxtvvLFLA8nc3ktlE9v+TB/1l58J2gP1XFkQkJ/Z0M8ce9pQ263/AdamQQ2rXa3SBoQ7PuOII45wEeJHHnlkRv2MvzJvTC8twh1eAd/AqXtO7SOTJk1y0fGffvqpEWgYTyCG8Sc///yzvfDCC9agQQPnL7bffnv3+3feeceNnYzlXsChN/4/9thjjhth/CcA8ZFHHnGcCBwL+hx99NF20003WYUKFQJ139iUMkH9AD6Secf333/vfHzPnj3dGI+UlFLGqw+fTJvZ3CDtMH6X9nvy0Ucf2bBhw1zWA05hwflwqq1GjRrukdmzZzs/g79iM/7qq692fsifysYPQKb9TCDw9VDOIyDCPedNnLoGsshp0aKFkSbGPxied955NnbsWDdYxgoLoIcffrjIAg4HyiT9r7/+2uB5BsIdd9zROnXqZI8//rj7O5FLlEHaGr+QwoZyWGTGExwlf48VEe6p6xMqKbsR+Oz3OXbYPZ+5Rjx4TDfr02nDtFDZ3UJpn04E0kW4Z5OvkZ9JZw9Lb9nxFl5E3y1dtTS9FccpvVrFagmlC4EI//LLL91CkzkQi9ETTzzRpfkj4hvhv5Ch3p04LIK5M4eFMQvb6dOnOzKee3MIQoDkGDp0qJvjeffy+Al3Fvgnn3KqDb/tHjvhyINdZGKsQAAwV+NUI1iyQCbKD2K6X79+bl4HiQvxjpx88slGuSXJokWL3J8vvfRSe/nll4tEG06ePNkREqQp3HrrreMWw1xz2223dWQ4+gTJVw4hzXwXkhyyGZ0hXaiLOS/BJMcdd5zLqQ6ZjzAWQHDTTuaev/32myNfyL/eoUMHO+200xy2vPfZZ5+59DZBJB7hjq179erliAfwZfOD9nvz5jvvvNNtMGB7UjIy7yXSMl4u3eKIFvRjgwYiCTtxwsCL1vzwww/d5sf/sXcV4FEdXfsl7kgI7u7ubi3ubWkphVLcWqRocae0XylUoZRS3N0KtLi7uwVI0CTE/Ztz6aaxTe7mrty7e+Z/8vdjd+TMe2bn3PvOmXPmz58vESw0V5Lp008/lQgfOligAwkKp0CY0Pg0NsWJVwvhznZGzurjOkoRUJOdobkYYmtMaWeWbtqD5o3rIbuHcxLCnUhr2m/ov7THpFZMaWcSjyeXcKdD2aZNm6bIs0EHtbTvkV1NrRAhHRwcLPEcTZo0kQhy2sPr1Kkj2QnaQ8n2kE29evWq9IxAhDvttaQb2p+pfadOnSQbR/aI9l/KiUcHrETCU6QBOSUjdoCeGdq3by8R3HTQToeYlJOPCHIqcgh34nu++eYb6ZmE+qHDbDokpoNbsiuEAZHorVu3lg7WyUmAPqMDYCp02EB7ORH15HhAB95kZwhTnb1LPH8m3OWsBq5jbASYcDc2olbcn6kfTik2OxkIehGjFwydF3pGCXf2PLTixchTMxoCU7ddw+9H74swAc74a1gDZHHT7yVotEG5I6tAQKuEuzFtDdsZ7S7l1F68wqLDUHOlPCLUmDM/2fUk3BzdZHdJL9vk2aV7CaeGFNaPCGki2SnWOZHD9N/ECeiJXCcyXV8IFiI4dC/A1KeOcNe9DP+ydDXKVK2FnF4u0l/yQt5u5FlH3vMU/5bIZ3rhpxuJRP7SIUBYWFgCMUxzoH0kraLzhCeSgUIN7tmzJ6E69UWebvSST8Ry8kKkP72QkyMHHTbITQxHxAbVnzZtmtQlEeTkaLJ48WKJCKFCsXopn1B4+NsDGiJnKNQNxan19PSUPqP5E1lCxAER41QIXyKmUwvDmBoOqRHuNC6REjrvenJkIS9DGpsKHRZQHSIqUityPdyJRKJC+BLhQXMlXdI6ou90xArVoYMTOoygd4W//vpLqk/60q0/CgVJOrIVwp3tTJo/a5v5Uk12hkA3xNaYys40a94SeQsVw6w5XyOPCGuZ3M7Q7Rk6UNRXTGlnEo8pl3CnwwHabxPfqqd+yNbSgSsR46kVIqTpwJIOpKnQ/k23lCZMmCDt51R0todCqJEHNxHuyfd/OqCgPuhwmbzMqZDtof71he9NLk9aHu767AAdDNBzhr5DczmE+2+//SY5DlChZxe6gUahhMlOkpc/eehT/j5dIY93WhsUrpieb+jWFd2ionDHVHQ3C+jwggl3m9lmVT9RJtxVryL1CGjK65f0YPrBBx9Ip7J0UkzXqnQloyFlkiNnKnJIPRpiSRgBwxGIiI5F6/mHcfdFKNpWzIMFH6XuJWh4z9zC2hEw1Z6qZVtjKkysfS1ZYn5qIkIMIUEIKyIodFfNddgRSUEe1TQvIjeJPNddu9bVIUKAvOEoHAl5LBPxvnbtWsnbnX539D1d2abPdOMQsUvEOHk3FytTEb4BYXBxsEeJXG9J5cSFQtfQ8xvdeCRvbvojzzci24k4IE/vkSNHJnjhG6L3jBDu5IFNc6FbmPTibgjhTu3ef/99SUSdJ33iF3tK3Epeibpbk0TO0JV+OgTRFQqz8vLlS+n2gK4QWUDeiOQ9L6ekRriTtzwRDrpCJDY5rJBnOemKPMvpWZrIntSKHMKd+iHvdirkMVilSpWE3Er0Od08SByugNYTrT2Sa9GiRVIIGXqm1xXCiTww1UK4s52Rs/q4jlIE1GRnaC6G2BpT2pkmLdrg1yXLUSi7u2TPEtsZHXmqD3tT2pnEY5qDcKe9nGwiFTogpoPZ1GwPheGtUKGCRLgn3//Jq53C/Sa3PeT9TqFq5BR9hHtadoDCDP/444/SAUBqRQ7hntimUug5Cn9G9rpBgwYSiU4x9MlzXVcIIzpoJ3KeQvHQMw89t+gOtKkeJWYlTJhwl6N5rmMOBJhwNwfKVjQGXTGlE1uKt0WFHu7pai1d8dGXNJU2RjqN1hU6ESWjoTt11ZHtFO+RXmB0D/i6+rqkqXRlml5SqJD3DJ3ectJUK1pcPBWLIXDRNxCdfj6G2Lh4zBeEeztBvHNhBNJDwJTkslZtjSkxSU8f/L1hCKjpqr8h1/xplukRIfTyTbFv6QU8eQxX8oAjTzkiwekqN4WhKV++vETO0wsqXeWm8Cu6cchbm0K2tGvXDvN/+AE3/EMkYkCX8C456kTMUvxdil37zjvvSM4U5LVHoWzIG408vol4p2LqkDIUQ56eP4lg1hUihgkTwofCFaZWkif3TI2oT06Ep0bOkCc7kUM6PHWYUpgawl1O0RfDnfrVFeqfDkpIL0Sy0A1RpYQ7kR9EkFOhcDoUsoYOHohEcXV1lcLm0OFN8kIHQfSOoHbCneRmOyNnBXIdJQioyc7QPAyxNaayM4M//wJRscAvf66W7AiNk9jO0I2dxHt2avibys4kHksu4a4kpEzyWOPp2R5dDPfE+79c25PWOtZHuKdlB+hwnZ4hlBDudJhL9pAKzYnIcuKCaE1QDHx6hqAwMckLcU8Uzo0JdyW7E7c1FwJMuJsLaSsZh7yiyGOHrvcQ8U4vDHQSS1d4yKOGEkTRVVaKK0mFvJvIm4de7Oh6KV3BJY8qenmjBF5EttNmSf+mmJ/Uh67QKacuCRZdQ6WrUkTSUxva3CmBCF3jkluYCJGLFNezRQT+t/cW5u+/DS8XBxFapiFyZU4ZLsAWceE560fAlHuqVm2NKTHhtWhcBLSezI7imSb2aKPwHuTlrvP8InKbEqLSlfXUStu2bUG5cChMChVyoKBr3GXKlElCuNPL8MCBA6UXYCJYv5w8B28iovWGlaF4teR5Rp5rFOub+qQ+KO7q3r17pZAjumJISBld0lS6Wk9yU1m4cKHkHUj9ODs7p5gmXTlPHLKGxm7evLnkDUhka758+VLFJj3SgxqplXAn2ShOPR0oKAkpkxbRosu1pFs7yUHUhZQh/HWJXCkUEDnKqMXDnWRmO2PcPZV7S4kA25mUdqZkyVLIX6Q45v++EmXzeEk3cZLbGV2CZ31rylR2JvF4cgl3XdJUyolCN42o0MEy2b70kqZqmXAnvRHnoySkTFqEO9kw4n4oIWpqRYdxYi953WccUoZ3YzUhwIS7mrShEVnICOoFmh8fAAAgAElEQVTiVJKBpCu7uuRP9EJG3i90AqsrdMVWFzuT4oB+/fXXUkxNKroT1dSmrjvhpO9ev34tedGTpxJdGyKDRuPqYpXJgY6JEDkocR1bRSA6Ng6dhZf7pcdBqF88O5b2rCF+a/95BdoqLjxv/QiYek/Voq0xNSa8Ho2HgNaJEEqaSjHR+/XrJzkt0P+mBJX0byqUSJPCwNBn5J1MBP3+/fulG4bkAEFJNYl4JkcI8iqjECfkQEEv0Yk93HXe2PQiS8947Tu9h4Fjp+kNK0OkPz2j0W1FIsepEKlAv2cK0UKkREYKeaaTLBQTnJ4jKd4txYunOK+6mPT04k2OHzRPIgKSF0NCyiQmhrXk4U5zJs99uj1AsYPJYYW83mktDBkyRIJETkiZtAh3Is8pZBE925PTDD2XU8gDittPJD8d3tCtCdIBvS/QvkgEGa1ZNRHuhAXbmYz8GrmNXATYzqRuZ6rWqod5i1egdG4vvNO0ibS3kxOfzs5Q7o+0bgGZys6QXim8DYXMIic/4iLoYI4KHUaTIyCFYKO45pSUVJdgnJKXU64L4j/ohpFuryXHQ30leciV5Hsz/Tu57VGThzsdOhMOZAcodFxMTIyEASV6pSInpExahDuFk6lVq5aUN4XsPN3CI4cCOrjXHcjoHDIpUTjdzqNnDbIznDRV7g7F9cyBABPu5kCZx1AFAkyEqEINLISKEbjzPESK5x4ZE4fJbcvg07qFVSwti2ZpBHhPTakBxsTSq1L++FonQii5GBGbdNOPQqTQCz+Rnbqr+HQbkP5NpAARBNmzZ5deXikUCJGh5MhAL7JETlMsVoqRTh7J5K2XGuFOyFKIPyLdW3R4HyMmTE81rAz1S2NRKBki86noQp4QgaE7EJCvqf9qUhJOmie96NPLN924pBuU9KJNRed1rgt9knwMNRLuFHaG5CLZUyuGhpTR9UE3UcnLj+Kokz6IGCdHFSpKCXfqg0h3SuxHhAnF2NUluaODHyp0y4GS4dEhCBEvNLbaPNwzsgbV0IbtjBq0IE8GtjOp25nHz17hu9+Wo6iPB1o3b5ZAuCe2M3RoTAfGqRVT2hmycRRHPHnR2RWdHUnsGEh6HjFihHSgTDHF6SYVhcah8G36ijkJd/LWJ7KeZE+tZCSkDPVDMeIpuTgR4XTQQLHXN2zYIA2hlHCnPk6fPo2vvvpKuilAIdMoUTgdxowbN04agw7eiYwnL3iKkkDPPJR0NvnNAd2c0/o98r4qb0/jWoYjwIS74ZhxC40iwBupRhXHYpsVgaXHHmDS1qtwdrDD9iH1UFzEV+TCCKSGAO+pKVFhTLTzW9E6EWJIHHBja+XBy1AprEwOTxcOP6YQXAq7SLcKiBCx5cJEiHzts52Rj5Wla7KdSV0Dd1+EIDQyBvmzuSGrm5Ol1WT149PhNB20Jo5AYPWTTmWCbGdsUeuWnzMT7pbXAUtgJgT4AdVMQPMwmkaAPAh6LDmNQ7deoIy46rl5UF04CfKdCyOQHAHeU5lw1/KvgomQjGsvICwKvq/DxMGsvfBy90g3wV3GR7LulnSbgG4qUB4kQ0IkWiMqTITI1yrbXvlYWbom25nUNfBY2I/Xwo7k9HKR/riYDgF6ryNv8yNHjiB//vymG0gDPbOd0YCSrFBEJtytUKk8pdQR4AdUXhmMgDwEnr2JQIt5hxAQFo3+DYtiTMtS8hpyLZtCgPdUJty1vOCZCMm49mLj4nHd7w3ixIt88RwecHV6G9KFCyOQUQSYCJGPHNte+VhZuibbmdQ18Fy8Z/iLP/JuJy93LoyAORBgO2MOlHmM5Agw4c5rwmYQ4AdUm1E1T9QICOy+4of+y88Jz0VgZe9aqF3U2wi9chfWhADvqUy4a3k9a5kIUQPuD1+FIig8Gj6ezsid2VUNIrEMGkaAiRD5ymPbKx8rS9dkO5O6BgKFd/sj4eXuLg5ri4pDWy6MgDkQYDtjDpR5DCbceQ3YLAL8gGqzqueJZxCBUesvYu2Zx4JMccHuLxogs5tjBnviZtaIAO+pTLhreV0zEaJMezrCxMneDiVzeXJYGWVw2nxrJkLkLwG2vfKxsnRNtjOpayAsKgZ3nofAUdiP0iJ8JRdGwBwIsJ0xB8o8BhPuvAZsFgF+QLVZ1fPEM4gAJTRqPf8wHrwKQ+vyufFD18pMqmQQS2tsxnsqE+5aXtdMhCjTXpwIK3Pt37AyRX084O7MYWWUIWrbrZkIka9/tr3ysbJ0TbYzqWsgJjZOsh9UyubJDHs7cZ2WCyNgYgTYzpgYYO4+VQQ4pAwvDJtBgB9QbUbVPFEjInDRNxCdfz6GGEGuzH2vAt6vZtsJd4wIrea74j2VCXctL2ImQpRrj0ICkKd7dg9n5MnCYWWUI2q7PTARIl/3bHvlY2Xpmmxn9Gvg6tMgUD6Q4jk94epob2lV8fg2gADbGRtQsgqnyIS7CpXCIpkGAX5ANQ2u3Kv1I/DjP3cwd89NuDnZY/uQeigivBm5MAK8pzLhruVfARMhyrX3RsRwfyBiuTtQWAAOK6McUBvugYkQ+cpn2ysfK0vXZDujXwN3ngcjLCoWBb3dkdmVQ1Zaeq3awvhsZ2xBy+qbIxPu6tMJS2QiBPgB1UTAcrdWjwB5oHz82wmcuPca5fNmxoYBdeDkYGf18+YJpo0A76lMuGv5N8JEiHLtxcXH47oIC0A2okh2d3i4MGmiHFXb7IGJEPl6Z9srHytL12Q7o18Dj0S4ysDwKClPlI+ni6VVxePbAAJsZ2xAySqcIhPuKlQKi2QaBPgB1TS4cq+2gYB/UARafH9IhA+IRt8GRTCuVWnbmDjPUi8CvKcy4a7lnwcTIcbR3uOAMLwOjUI2Nyfky+ZmnE65F5tDgIkQ+Spn2ysfK0vXZDujXwP0XvE8OALZ3IXtyMq2w9Jr1RbGZztjC1pW3xyZcFefTlgiEyHAD6gmApa7tRkE9lz1R79lZ6X5Lv2sBhqW8LGZufNEmVyWswbYzshBSR11mAgxjh5CImJw72WIlPSudG4v2GVKmvwuk/j3pk2b0KFDB0UDFipUCEOHDpX+uFgfAkyEyNcp2xn5WFm6JtsZ/Rqgg1o6sPUQCbeNEaqSbY2lV7v6x2c7o34dWaOETLhbo1Z5TqkiwA+ovDAYAeUITNh8BctOPBRJ8pyw84v6yMHXQJWDqtEeeE/lQwiNLl1JbK0TIf7+/pgxYwZ27NiBJ0+eIEeOHKhUqZJESDdt2tRsqokXYWVu+AcjOjYu1Vi8hpIgf/zxhzSHwMDAJHN48eIF3N3d4ebGnpBmU64ZB2IiRD7YbHvlY2Xpmlq3M4SfqWxNaGQM7r4IgZPIAVJKHNYqLWxrlCJo/e3Zzli/jtU4Qybc1agVlskkCPADqklg5U5tDIGI6Fh0+PGoRLDUK5YdfwpPdzvh2cjF9hDgPZUJdy2vei0TIQ8ePEDdunWRJUsWTJ06FeXLl0d0dDT27NmDhQsX4saNG2ZVjV9gOF6EREqJ7ygBXuJiLBLErBPiwcyOABMh8iFn2ysfK0vX1LKdIexMaWvokJZygFApJ/JDJb8dZaju2NYYipjt1Wc7Y3s6V8OMmXBXgxZYBrMgwA+oZoGZB7EBBO48D0bbBUcRLsj3US1KYmCjYjYwa55icgR4T2XCXcu/Ci0TIa1atcKlS5dw8+ZNyes7cSHPcCLiHz16hCFDhmD//v3iUNQOLVq0wIIFC5AzZ06p+uTJk7F582aMGDECEyZMQEBAAFq2bIlFixbB09NTIu6pzuPHj6X2utK+fXt4e3vj999/lz76+eefMXfuN/B97Iu8+QtiysTx6NGjR0L9xCTIgQMH0LhxY2kskpHKhQsXULlyZdy/f18id+j7xGXSpEmSHMlDyiidn5bXrjXKzkSIfK2y7ZWPlaVratnOEHamtDVkYx4Fx2Pt8iVY9P3XeCLD1nzzjbA1vr4oXLgwxo8fj08++YRtjaUXuYbGZzujIWVZkahMuFuRMnkqaSPAD6i8QhgB4yGw9rQvRm24JMXtXduvFqoWzGa8zrknTSDAe2pKNTEmmli6kpCpvXhReJT48HCzTyKTqyuImJZTXr9+jezZs0vhZMaOHZtqk7i4OFStWhUeHh6YN28eYmJiMGjQIOnfRHpTIRL722+/xbvvvospU6ZIJPgHH3yAzz77TOqb/p0rVy7s3LkzIUQNjZ07d+6Ezyg2e5cuXfDdd9+haKXa2LdnF+bNnIS9e/cmEOeGEO558uSRCPyJEydKhwlUSGb6S0y4G2N+crDmOuZDgIkQ+ViznZGPlaVrqsnOEBZqszWffj4Gz168QtOqJWXZGrJnzZo1w/bt2zFq1Ci2NZZe4Bobn+2MxhRmJeIy4W4liuRppI8AP6CmjxHXYATkIkDE1LA1F7D5wlPkyewixXPP4uYktznXswIEeE9NqUTGRDsLO7UXr7iwMNysUtXskyh57izsZMYmP3XqFGrWrImNGzeiY8eOqcpKhDd5q5PXeP78+aU6165dQ9myZUHtq1evLhHuc+fOleLzkkc7FSIwDh06hBMnTkj/pkSn5M2+ePFi6d/kkUjkPHkYktc7hbWhPunz528i4C/+xg76DIiJlGLLUzGEcCdSXV8M98SEu7HmZ3ZF84B6EWAiRP7iYDsjHytL11STnSEs1GZr1uzYj6DwaIzu3x15cvrIsjU6ndIBcWhoKNsaSy9yDY3PdkZDyrIiUZlwtyJl8lTSRoAfUHmFMALGRSBEJDxqu+AI7r8MRbPSObCoezXZXprGlYR7swQCvKemRJ0xscRKzNiYaiJCDCFBTp48iVq1aqVJuM+fP1/yOifCPXHJmjUrvv/+e3Tv3l0i3NetW4erV68mVKE2FHbm3r170mf0fZ8+ffDs2TM4OzujYcOGqFatmuQZTyVbtmzSOBRCJiomVsrtsWLxL1i3dGFCH6Yg3I01v4ytHG5lCgSYCJGPKtsZ+VhZuqaa7AxhoTZbc+z8VTwPjsTxvdsxethgWbZGp1OyZfSns1dsayy92tU/PtsZ9evIGiVkwt0atcpzShUBfkDlhcEIGB+Bq0+D0PGnY4JsicP41qXRu34R4w/CPaoSAd5TU6qFMVHlUk1VKDVd9Tf2NX+5hDTFcKcY6rpC1/Xpj2KpUyGMKOb7kiVLJK/4ggUL4syZM6hSpYr0fWLCnf5993kIFv78A1b/8Sse/kv2JyZByHueSHsKTUPkP5XTp0+jRo0a0uGAXA93Y81PO6vV+iVlIkS+jtnOyMfK0jXVZGcIC7XZmnNXb+FxQBgc42NQq1xR2baG5pIW4c62xtIrX53js51Rp16sXSom3K1dwzy/BAT4AZUXAyNgGgSWnXiICZuvwIHiufevjSoF3hIpXKwbAd5TU+qXMdHOmtdyMjsKF3P58mW9SVOJxNYXUoa+Iy91XdLUtAh30mbPnj1B65rC2BDxfv369QQlJw4pQx++ColE148+RFREOP7Zu1uql5hwp7ZlypSRvOrpv1QoSWvfvn0TCPeVK1eiX79+CA4OTrKY5IaUMXR+2lmx1i0pEyHy9ct2Rj5Wlq6pZTtD2Jna1ly9eQd3X4TAyd4Oc8Z9IdvWkGwUUiZMhIGjeO5sayy90rUxPtsZbejJ2qRkwt3aNMrz0YsAP6Dy4mAETIMAxXMfsuo8tl/yk+K57/i8PrK6czx306Ctnl55T02pC8ZEPeszPUm0TITQFXoiu8nDfOrUqahQoYKUGJVim1PSUYrXTl7oFJtdlzR14MCBKZKmpufhThju27cPbdq0kbzPu3XrhvHjxydAS+2J9CBPQ0pkt3nLVowdMxq/rtqMru1bwtXJPgnhHh0djaJFi0ohcSgx661btzBixAjp4EDn4X7s2DFpbjRuxYoV4SZi29NfYsKdbI6x5pfeOuHvzYMAEyHycWY7Ix8rS9fUsp0h7Exta27fvYfrfm8kNflfO4127drKsjXbtm2Tco6QnWjUqFEKwp1tjaVXvjrHZzujTr1Yu1RMuFu7hnl+CQjwAyovBkbAdAgER0RL8dwfvApD45Ii8VGP6iKpXibTDcg9WxwB3lOZcLf4IlQggNaJED8/P4m0Ju8++t8+Pj6oWrUqhg0bJhEQjx49wpAhQ7B//34pwWmLFi2k+OwUIoaKXA/3uLg45MuXTxrj7t27KFIkadgwIvi/+eYbKZFq4cKF0X/oSDRt+x6yezgjTxbXJIQ7jXv06FEMGDAAt2/flsLUfP7553j//fcTCHeqQ99T/PhXr15h0qRJkqyJCXeqY6z5KVhC3NSICDARIh9Mtr3ysbJ0Ta3bGcLPlLaGDlqvPX2DWHGIWszHHcUKF5Rta+jw95NPPklQceLbVGxrLL3y1Tk+2xl16sXapWLC3do1zPNLQIAfUHkxMAKmRYAemjv+dBSRIp77yOYlMahxMdMOyL1bFAHeU1PCz5hYdEkaNLg1ECEGTdhMld+ER4uD11ARYswOpXN7ciJtM+Gu9WGYCJGvQbYz8rGydE22M+lr4PbzYIRHxaKgtzsyuzqm34BrMAIZRIDtTAaB42aKEGDCXRF83FhLCPADqpa0xbJqFYE1px9h9IbLIOf25b1rok7R7FqdCsudDgK8pzLhruUfCRMhptFenPBUvOEXjBjhGV9IECheTKCYBmgr65WJEPkKZdsrHytL12Q7k74GHr0OQ2BYFHKJkJQ5PF3Sb8A1GIEMIsB2JoPAcTNFCDDhrgg+bqwlBPgBVUvaYlm1igDF1h25/hLWn30sQgo4SfHcc3rxA7RW9ZmW3LynMuGu5XXNRIjptPc0MBwvRQJV8lYkr0UujEB6CDARkh5C/33Ptlc+VpauyXYmfQ08exMB+svm5oR82dzSb8A1GIEMIsB2JoPAcTNFCDDhrgg+bqwlBPgBVUvaYlm1jABdDaXQMjf8g1G9UFas7FMLjvZ2Wp4Sy54KArynMuGu5R8GEyGm0154VAxuPw+RwsmUzuUJB97/TQe2lfTMRIh8RbLtlY+VpWuynUlfA+TdTl7u7k4OKJrDI/0GXIMRyCACbGcyCBw3U4QAE+6K4OPGWkKAH1C1pC2WVesI3H8ZinYiiWpwZAx61yuM8W3KaH1KLH8yBHhPZcJdyz8KJkJMpz266USEe0R0LPKKxKneIoEqF0YgLQSYCJG/Ptj2ysfK0jXZzqSvgTBxQHtH2AvK+1Emj1f6DbgGI5BBBNjOZBA4bqYIASbcFcHHjbWEAD+gaklbLKs1ILDnqj/6LTsrTeXHrlXQukJua5gWz+FfBHhPZcJdyz8G3YtXoUKF4OrqquWpqFL2F8GR8AsKh5vwWizGXouq1JGahAoPD8eDBw9QuHBhuLgkDUPHtiapphgPNa3ctGVhO5O+rmLj4nH1aZBUkQh3It65MAKmQIDtjClQ5T7TQ4AJ9/QQ4u+tBgF+QLUaVfJENITArF3X8evBe4J0sceWQXVRPKenhqRnUdNCgPdUJty1/AuJjY3FrVu3kCNHDnh7e2t5KqqUPTo2TkqeGi/+r4TY910c7VUpJwulDgRevXqF58+fo0SJErC3T7pW2NYw4a6OVWq4FGxn5GF23e8NyGbQ4Swd0nJhBEyBANsZU6DKfaaHABPu6SHE31sNAvzAbjWq5IloCIEY8QD9yeJTOH7vFYpkd8eWwXXh6eKooRmwqPoQ4D2VCXet/zr8/PwQGBgoke5ubm5SzHEuxkPgSUAYQkRYsazuTsjhycmzjYes9fRE4YfCwsIksj1LlizInTvlTTi2NUy4a3nFs51JX3uPXoeC8j/l8nJBZpE8lQsjYEwE2M4YE03uy1AEmHA3FDGur1kE+IFds6pjwTWOwMuQSLQV8dz9giLwbpmc+KVbVdjZMbGlcbWC91Qm3LW+huklzN/fXyLduRgfASJQXoVGwV7s97m8nPlAw/gQW02PRLbnypUr1TXCtoYJdy0vdLYz6WsvQCRODY2MhZeLA7xc2SknfcS4RkYQYDuTEdS4jVIEmHBXiiC31wwC/MCuGVWxoFaIwPlHAejy6wlECY/3kc1LYlDjYlY4S9uaEu+pTLhby4qna//R0dHWMh3VzCMqJg4fLTyOwPBoTGtfDnWKZVeNbCyIehBwdHRMEUYmsXRsa5hwV89qzbgkbGf0Y7fujC9+OXgXDUr4YFLbshkHmVsyAnoQYDvDS8NSCDDhbinkeVyzI8AP7GaHnAdkBJIgsOrUI4zdeFl4sAFLPq2ORiVzMEIaRoD3VCbcNbx8WXQzITB9+zX8duS+dLtpYfdqZhqVh7EmBNjWMOFuTeuZ55ISgX9uPEfPP06jVC5P7B7agCFiBMyOANsZs0NuMwMy4W4zquaJ8kbKa4ARsDwCRLgT8U7XRrcNqYeC3u6WF4olyBACvKcy4Z6hhcONbAqBW8+C8e53h+AgwsocH9sUPp7ONjV/nqxyBNjWMOGufBVxD2pG4OGrUDScewDODna4NrWFFIaMCyNgTgTYzpgTbdsaiwl329K3Tc+WN1KbVj9PXiUIRMbE4sOFJ3D+USBK5vTExoF14O7soBLpWAxDEOA9lQl3Q9YL17VdBDr8eBQXfAMxtmUp9GtY1HaB4JlnCAG2NUy4Z2jhcCPNIBAbF4/SE3ZLYScPj2qM/NncNCM7C2odCLCdsQ49qnEWTLirUSssk0kQ4I3UJLByp4yAwQg8exOBNiKJ6ovgSLQslws/fVyFk+kZjKLlG/CeyoS75VchS6AFBFaLW01jxO2mIj7u2D+8Ie/3WlCaimRkW8OEu4qWI4tiIgSai5tQN8WNqCU9q6Mxh5w0EcrcrT4E2M7w2jAVAky4mwpZ7ld1CPBGqjqVsEA2jMDZhwHC0/04omPjMeKdEhjStLgNo6HNqfOeyoS7NlcuS21uBEIiY1Bjxj6ERcViXf/aqF4om7lF4PE0jADbGibcNbx8WXSZCAxYfha7rvhjfOvS6F2/iMxWXI0RMA4CbGeMgyP3khIBJtx5VdgMAryR2oyqeaIaQUDn9UjiLvykKt4tm0sjkrOYhADvqUy48y+BEZCLwKj1F7H2zGN0qpIX//ugktxmXI8RYFuTbA2w7eUfhTUi8M2em/jhnzv4qEYBzOpU3hqnyHNSMQK8r6pYORoXjQl3jSuQxZePAG+k8rHimoyAuRCYuOUK/jz+EO5O9iKee12UzOVprqF5HIUI8J7KhLvCJcTNbQiBc48C0OmnY3BxtMPJcc2Q2dXRhmbPU1WCANuapOgxHkpWE7dVKwKbzz/B0DUXUKNwNqztV1utYrJcVooA76tWqlgVTIsJdxUogUUwDwK8kZoHZx6FETAEgWiRIKn74lM4fu8VCogkSVsG1UVWdydDuuC6FkKA91Qm3C209HhYDSIQHx+PFvMOSzF6p7Yvi+61C2lwFiyyJRBgW8OEuyXWHY9pXgQuPw5C2x+OwFu8A5yd8I55B+fRbB4BtjM2vwRMBgAT7iaDljtWGwK8kapNIywPI/AWgdehUWj/4xH4vg5H7SLe+LNXDTja2zE8KkeA91Qm3FW+RFk8lSHwx9H7mLztGkqJm0y7vqjPyVNVph+1isO2hgl3ta5Nlst4CISKXB9lJ+2ROjwvCHd2vjEettxT+giwnUkfI66RMQSYcM8YbtxKgwjwRqpBpbHINoPATf9gEW7gKEJFUr1utQpgegeO36h25fOeyoS72tcoy6cuBILColFj5j5ExsRh08A6qFwgq7oEZGlUiQDbGibcVbkwWSijI1Bn1n48DYrAepFcuxon1zY6vtyhfgTYzvDqMBUCTLibClnuV3UI8EaqOpWwQIxAEgT2XXuGPsvOQEQe4JADGlgbvKcy4a6BZcoiqgyB4WsvYOO5J3i/aj7Mfb+iyqRjcdSIANsaJtzVuC5ZJuMj8Mnikzh8+yVmi6SpH4rkqVwYAXMhwHbGXEjb3jhMuNuezm12xryR2qzqeeIaQuCXg3cxe9cN2Ntlwh89q6N+cR8NSW9bovKeyoS7ba14nq0xEDjz4DXe++U4J081Bpg20gfbGibcbWSp2/w0p2y7iiVHH6B3vcIY36aMzePBAJgPAbYz5sPa1kZiwt3WNG7D8+WN1IaVz1PXDAKUWO/LdZew4dxjeLo4iLADdVEsh4dm5LclQXlPZcLdltY7z9U4CCROnjq5bRl8WrewcTrmXqwWAbY1TLhb7eLmiSVBYOXJRxi36TIalvDB0s9qMDqMgNkQYDtjNqhtbiAm3G1O5bY7Yd5IbVf3PHNtIRAZI+K4/3YSpx8EoEA2N2weVBfZ3J20NQkbkJb3VCbcbWCZ8xRNgMCfxx9g4parKC4OU/8a1oCTp5oAY2vqkm0NE+7WtJ55LvoROHX/NT749TjyZnHF0TFNGCpGwGwIsJ0xG9Q2NxAT7janctudMG+ktqt7nrn2EHgVEokOIomq7+twVC+UFct714Szg732JmLFEvOeyoS7FS9vnpoJEXgTEY2aM/YjPDoWa/rWQs0i3iYcjbvWOgJsa5hw1/oaZvnlIRAQGoXK0/ZKla9OaQ53Zwd5DbkWI6AQAbYzCgHk5noRYMKdF4fNIMAbqc2omidqJQjcfhaMTj8dQ3BkDDpWzov/fVCRPSFVpFveU5lwV9FyZFE0hsDYjZew6pQv2lTIjR+6VtGY9CyuORFgW8OEuznXG49lWQSqTd+LlyFR2Dq4Lirky2JZYXh0m0GA7YzNqNrsE2XC3eyQ84CWQoA3Ukshz+MyAhlH4PDtF/h0yWnExsVj+Dsl8HnT4hnvjFsaFQHeU5lwN+qC4s5sCoGrT4PQev4RONpnkkIH5PB0san582TlI8C2hgl3+auFa2odgQ8XHseJe6/xzfsV8V7VfFqfDsuvEQTYzmhEURoUkwl3DSqNRc4YAryRZgw3bsUIWBoBXRIlkmNel0roILzduVgeAd5TmXC3/CpkCbSMQEcRNuz8o0B8+W4JDG7Ch6la1hMPHbYAACAASURBVKUpZWdbw4S7KdcX960uBCZsvoJlJx6iX8MiGNuytLqEY2msFgG2M1arWotPjAl3i6uABTAXAryRmgtpHocRMD4Cs3Zex6+H7sHJ3g7LetXgmL/Gh9jgHnlPZcLd4EXDDRiBRAhsOv8Yw9ZcRO7MLjg8qjEcxP7OhRFIjgDbGibc+VdhOwgsO/4AE0RS7SalcuD3T6vbzsR5phZFgO2MReG36sGZcLdq9fLkEiPAGymvB0ZAuwjEiZAyg1edw87L/sjs6oiNA+ugqI+HdidkBZLznsqEuxUsY56CBRGIjIlF7Vl/47VIlPdLt6poUS6XBaXhodWKANsaJtzVujZZLuMjcOLeK3y48ATyZXXFkdFNjD8A98gIpIIA2xleFqZCgAl3UyHL/aoOAd5IVacSFogRMAiBiOhYfLTohBSCIH82V2wcUBc+ns4G9cGVjYcA76lMuBtvNXFPtorA17tv4KcDd1GnqDdW9qllqzDwvNNAgG0NE+78A7EdBOgAtsq0vdKEr05pDndnB9uZPM/UYgiwnbEY9FY/MBPuVq9inqAOAd5IeS0wAtpH4FVIJDr9fAwPX4WhYr7MWNW3Ftyc+GHcEprlPZUJd0usOx7TuhB4EhiO+nP+hrjEhL3DGqB4Tk/rmiDPRjECbGuYcFe8iLgDTSFQbfpevAyJwpZBdVExfxZNyc7CahMBtjPa1JsWpGbCXQtaYhmNggBvpEaBkTtJhsCbqDfYdHsTwqLD0sYmOhzwvwTERhkPQwcXIHdFwN4pzT4zO2dGx+Id4ergaryxLdjTvRch6CxI94CwaDQVMR5//aQqx/61gD54T2XC3QLLTlND3gq4hf2P9gOCTFZcJBtyUdiQaMVdmaQDrzxAtqIZ6nrbpSd44BeMbq8CUMnJDvHVyqF5u6FwsOPD1AwBamWN2NYw4W5lS9qo05H9HiJrVGGs/C8DEUHp1s4UG49cZ17BKdj4NulFcCQio+OQ1d1JeLjb/ycLve945AQyKc/3EeeTBTV7joGPF4cyS1fZNlCB7YwNKNlCU2TC3ULA87DmR4A3UvNjbgsj/nb5N3x/7nvVT3VqnakS6W4t5ezD1+i66CQiY+LwUY0CmNmxHDJlymQt09PEPHhPZcJdEwvVgkJ23dEVl18K8oJLmgiIlxEM3hqH+tfenkyEC04lbP181CvxDiPHCIBtDRPu/DPQj4Cl3kP67YxF04vGOE22nHbvtiiLNvPWW04AHlk1CLCdUY0qrE4QJtytTqWmn9CPP/6IuXPnwt/fHxUrVsSCBQtQo0YNvQOvW7cOEyZMwIMHD1C8eHHMmTMHrVq1Sqi/ceNG/PLLLzh79ixev36N8+fPo1KlSkn6a9SoEQ4ePJjks379+knt5BbeSOUixfUMQeB/Z/+HJVeWoETWEqico7L+po9OAM+uAG7egHsOQ4ZIvW7w07ceKPmqv/Vy11OOPz2OR8GPMLLaSHQv2135uCrqYfcVfwxYcRaCq8GId0pgSNPiKpLO+kUx5Z7Kdsb6148tzLDNpjZ4+OYhmuRvAh83H2VTfngMeH5N2JDswoYo7EuZJMlaiw34xY23n1XuBtDNKwNL8Z1XUWHtBcTYZYIDxZYR5cUXH6DBgCkG9sTVrREBtjVJtWpKPKxx/Vj7nP53RryHXF2CkllLolKOpO/PBs896DFwa7fYx0V+pKxF9DZ3DItFm7m+sBPb9ZPSbohwT+SFbvCgKRtExcYhLCoGjvZ2cNeFjYwKBuJiALpN5ZJZ0SiO95+iwP1QBPu4o8bhM4r64sbWgQDvq9ahRzXOggl3NWpFxTKtWbMG3bt3l4jumjVrYt68eSBC/ebNm8iRIyWJeOzYMTRo0ACzZs1CmzZtsHLlSolwP3fuHMqVKyfNdNmyZbh//z7y5MmDPn366CXcS5QogalTpyag4+bmBi8vL9lo8UYqGyquaAACOsK9e5nuGFl9pP6Wu8cCJ34C6g0Hmk0yYAQ9VbcMAs4vB5qKvuqLPvWU0YdGY+f9nVZJuNOU/zz+ABO3XJVm//V7FfBBtfzKseUeZCFgqj2V7Yws+LmSBhBotbEVfIN9sazlMuVEyE5hX04tBBqMApp8pZ7Zx8UCU7O9lWfUfXEg8O//lilh9LPnuNuyJeLDwjCxYH0EBOzDgjfOCC9TCFU27pLZC1ezZgTY1iTVrqnwsOY1ZM1z++b0N1h6bSl6lu2J4dX0vw/IwuCOCIG2vBOQszww4IjeJsH79uHx4CFwKloURXdsl9W1IZXoFmvnn4/DPeAOPisRg6FDh8J+RWfg3j9Ap0VAhQ8M6S5F3WUnf0G1Hm9vJxc/dhQO2QyzW4oG58aqRID3VVWqxSqEYsLdKtRovkkQyV69enX88MMP0qBxcXHInz8/hgwZgjFjxqQQpEuXLggNDcX27f8Z41q1akke7Mm908kDvnDhwnoJd2pDBH9GC2+kGUWO26WFgM6zpEeZHviy+pf6q+4Sv4+TP5uAcJ8oCPcRescdc3gMdtzbgS+rfYkeZXtYpTLn7L6Bnw/chb3wjlzUvSqalBLxHbmYHAFT7alsZ0yuOh7ATAi03NASj0MeG4dw3yHsy2lBNDQcDTQeZ6YZyBhGPAdiata3FTNAuD8dPRpBW7bCsUIFlD94ChHPH2B5wYKo4uKKooLUccqXV4YQXMWaEWBbk1S7psLDmteQNc9t7um5+PPan+hZThDuVZUS7vsE4S6I7VyCcO+vn3D3nzETAcJhLstHHyL3JCM4ESVT0JuIaFSY/Bde7vweoZf3onXr1ljdPhM8nhwCOoqD54pdFKl06dWlKPTZbOQQF4ULrlwBtypVFPXHjbWPAO+r2tehWmfAhLtaNaNCuaKiokBe5evXr0eHDh0SJOzRowcCAwOxZcuWFFIXKFAAw4cPl06mdWWSMMybN2/GxYsi+Veikh7hfvXqVRE6QiRoyZULbdu2lcLUkDxyC2+kcpHieoYg8O2Zb/HH1T/AhLshqBm3Lu0LI9ZdxMZzT+DiaIeVfWqhSoF/CSDjDsW9JULAFHsq2xleYtaEQIsNLfAk5AlWtFqBCj4VlE1thzhYPf2bugn3kfdEuBsRNk1mCb9wAQ8+/EiqffLTHug5VtwEE6k4qnt7YKl3PuSePg1Z3ntPZm9czVoRYFuTVLOmwMNa144tzGvOqTlYfn05epXrhaFV/3vfztDcbwvCnTzJ0yHc77XvgEhxuz3vvO/g1aJFhoZKr1Hd2X/j/JLxCL91HHZ2diiTxx273o9Hvh7i4Lnih+k1T/P7P6/+Cfehs1DGF8j7v2/hlSjUraKOubFmEeB9VbOqU73gTLirXkXqEfDp06fImzcvKExM7dq1EwQbNWqUFF/95MmTKYR1cnLC0qVL8dFHb1+oqPz000+YMmUKnj17lqR+WoT7woULUVB4PFHYmUuXLmG08IiiuPEU/11fiYwUGc7Fn67QRkre+EFBQXpD0cTGxiI62vjZ1tWjRZbE2Aj8fvl3bL6zWUpISt4lesuhb4BLq4Gqok5tEQ5Gadk/DbguDrlqDhTsxGd6eyMP/AO+B6Srph1LqDtpqqOjI+ztMxYHMlrEe+zz5xkcuPkCWdwcsb5/bRTL4akUZW6fBgKmeDi1BTvDi8p2EGi+vjmehj7FylYrUd5HeAwqKduF5+KZxYJwF7elGgtiWi2FkmhMyfJWmpF3BeEuYszLKPHCM/5Blw8RcfkyXNq1Q4NVK/HkyRPJsYLK9kKFUalzZ+T9Zq6M3riKNSNg67YmI+8z1rweeG5JEdAR7r3L98YXVb5QBs/tvYJwF4ecucQBcf/DqfYVK96jb9WsJX1X/OgROHjLP2Q1RLieS05h1aReiPQV+a9EoVus3q7A7t9moPKHymzgsmvLEDF+FuqJRN05BI/h/Vka72+GCM11NYuAKeyMZsFgwY2KABPuRoXTujuzJBGSHNm///4bTZs2xZ07d1BUxI9LrUyePFki9pOX1Ah3esGjJLDkqc+FETAEgaDIIIRGh8LD0QNezmnkFAgPACJFwh8XUcflX3LCkIGS1w17DUSFvO2L+tRTAiICEB4TDi8nL3g4eSgZ0Sxts2TJIt1iyZRJuDkaWCjBUtdFJ3HBNxC5M7tgw4A6yJNFPJ1zMQkCpng4tWY7YxIlcKeqRuCd9e/AP9Qfq1uvRtnsZZXJqiPcGwmioVHKEH7KOlfYevK/CewMINwDN22Gn/Bot3N3x87OnTBi/PgEsj2TnYga4JEZsyqUR/FDhzJkDxTOiJurCAFbtzWGvM+oSG0sipkQmHVyFlbeWIk+5fvg8yqfKxtVR7jnrgj0E+FbUikhhw/Dt09fOBYsgGJ79igbL43Ws3fdwMQeLRD94mFCLXvxakDOOWvWrUc7cVCb0bLi+gr4zp6B9ifjka1Hd+Sk21VcbBoBU9gZmwaUJ5+AABPuvBhkI2DJq/7JhaS48B4eHti9ezeaN2+e6hwM8Qjx8/OTyHZK/EphajJC9skGkitaFQIvwl4gMDIQWZyzwMfNR//cgv2BcEGSuwnvP4+UCYYNBuXNUyBCHBC5izHpT095FvoMb6LeILtrdmR1UW+YFTr0ChNJ854/fw4i3XPnzm0wJNQgIDQK7/96HHeeh6CojzvW9a+DbO5OGeqLG6WNgCkeTq3ZzvB6sj0Emq1rhmdhz7C6jSDcvZUS7sOEh/vvgmwX8dsbiTjuaio6wv3LO8K+pWEH/5U5NiRUJEptgdgXL+E6eBAqixCByR0e6K7TfuFQUUsQOs56HCvUBAHLYjoEbN3WGPI+YzotcM9qRWDmyZlYdWMV+lboiyGVhygT89ZfwMr3gdyVBOF+MNW+XsxfgJfitnrm9u2QZ84cZeOl0Xrz+Sd4r2ElxAa/TFLrrT9OJnz77bdSyNqMvLMT4X7xx5nouS8OnoJHyPd9xnPEmQwA7tisCJjCzph1AjyYahFgwl21qlGnYJTMjkK5LFiwQBKQkqZSnPbBgwfrTZpKJNq2bdsSJlSnTh1UEMmxDEmamhyNo0ePol69elIceOpLTtG3kVIYmVu3bklku7eJrsXJkY/raBMB8l58Ff5KIrRzuqeRrDPoMRD6QpARoo5XHuWTDXwEhL0CPAUx7ZlLb39Pgp9IBwIkG8mo9vLq1SuJdC9RokSGw8s8DQxH55+PwS8oAhXzZcYKEdPdw9lB7VPXnHymeji1RjujOeWywEZBoOnapnge/hxr26xFae/SyvrcJmLznl2icsL9tqwD5Rfz5wvC5mc4iufHpdWrYebs2dLzZOIinNzxWbZsmCPqZvv4Y2XYcWtNI8C2Jqn6TIWHpheJDQs//cR0rLm5Bv0r9segSgpDVt4SHusrP0iTcH/0WS+EivCyuSZNRNZEIWONrYLrfm9QtlAuxEeF6+26X79++OGHH+DgYNgzPh1Q7PtzOr7cGAfXihVRaI0I+cnFphHgfdWm1W/SyTPhblJ4ra/zNWvWgJKk/vrrrxLxPm/ePKxduxY3btxAzpw50b17dynO+6xZs6TJU7z3hg0bYrZ4mZIyjK9ejZkzZ+LcuXMoV66cVOf169d49OgRKJSArk7JkiWlsBL0d/fuXaxcuRKtREITIsQphvuwYcOQL18+KXa83KJvI42IiMD9+/dRqFAhuLpy+Am5eHK9twj4hfrhtfBcVzvhnsMtR9oe+CpRaHh4OHT5HFxcXDIs1Z3nwXj/l+MICItG3WLe+P3T6nB2yFh8+AwLYeUNTfVwao12xsqXAk9PDwJN1jbBi/AXWNd2HUplK6UMp20iNu/ZP0T89q9EHPdRyvoyduvJFCZNxF4fcUscAKdx8CxqRYv8PXebt0C8ePZymDQJFUTsXHoOS624ClfGk716o/yihcaWmPvTEAJsa5Iqy1R4aGhJsKiJENAR7gMqDsDASiKvk5JyczewqguQpzLQ90CKnij3xq0aNREXEoLCmzbCpbTCg+Q0ZI0QYSJdnemG6tu8HqkV8m5v0qQJNmzYgMyZ/w1tJmP+q2+sxupN0zFraSwcBNdQ/MA/MlpxFWtGgPdVa9auZefGhLtl8dfk6HSSPHfuXCnmeaVKlTBfeB+RRyKVRo0aScT1H3/8kTC3devWYbyIzUkkWvHixfH1119L5LmuUN2ePVMmK5kkXsQobqGvry+6deuGK1eugELJUOLTjh07Sn16eaURMzsZuukR7oULF4YSgk+TymShFSMgn3D3FR7u4lqkhTzctUK46w7AjPF7vChiuX+06ATComLRvGxO/Ni1ChzsyW+SizEQMOXDqbXZGWPgzX1oD4FGaxrhVcQrrG+7HiWzlVQ2gQTCfbwg3Ecq68vYraeIcGXxwkNdBuH+9KuvELRhI1wrV8acLJmxaNEi0E3DVMkU8eHQvPnw7aOHyGTHe7ex1aaV/tjWJNWUKfHQyppgOf9DYOrxqVh3a51EthPprqgkEO5VBOGekoSOEDfC77drj0wi/GrJUyeRyUDPckNk063z9NrY29ujWLFiUphZ4iDklLU312LBvqlYuEDYHtG+1MULJp2LHJm4jmUR4H3Vsvhb8+hMuFuzdnluSRBgwp0XhCkQUD3hHiJCyohY77ZIuJO+j955iZ5LTiMqNg7vVc2HrztXgJ2d4QlZTbF2tN4nP5ym1CBjovVVbVz5G65piNcRr7Gh3QaUyFpCWedbRTK8c0uBJoJwb6A2wj2bINwFcTHiZpohziJu3sT9Dh1F3XjEzJmNSp06pQglkxykbIIMuXPqNLJWER6XXGwSAd5Xk6qd8bDJn4HeSU85PgXrb62XwslQWBlF5eYu4eH+IZC3KtDn7xRdBYhb7f4TJ8FN3HIv+KewRyYsdPu9YMGCskYg0p083Hfu3JngBJhWQyLcpx+bipVz42AfF49iwsPdUXi6c7FdBHhftV3dm3rmTLibGmHuXzUI2CLhfuDAATRu3BgBAQFSIkotlE8//VRKnrZ582YtiGtASBmdh7t4oPPKWELQJIDIjeFu44Q7Ybbnqj8GrjiHWPFQ/WmdQpjUtkyGkixpYkGaUUh+OE0JNmNixgWogaEarG6AgMgAbGq3CcWyFlMm8VaRDO/cn+om3IffSNO+PerdB6FHjsCzRQsMe/IYmzZt0uvdnhissR0/xMyNq5Thx601iwDvq0lVx3hodimbRPDJxyZjw+0NUsJUSpyqqNzYCaz+SC/hrruh5N23L3IMF4m8TVgohGxFEV9dbrETt6AolvuKFSvw3nvvpdmMDijooGLxL/bwDIiUYrhTLHcutosA76u2q3tTz5wJd1MjzP2rBgFrJtyPHz8uJZFtIV5id+zYkYC5mgl3XZzu8+fPS6GJdCUoKEg4v8Vr5oDAL0TEcBcejOnGcA8UhHsYhZRhwj2tTcGYIWUSj7Px3GMMX3tR+mhIk2IY8a7C8A6q2dksJwg/nKbEnjGx3HpU48j1V9eXklZvbr8ZRbMUVSbilsHA+WWCcJ8gPNy/VNaXsVtP9QbiYoDh1/UmBQ85fAS+ffoAjo4ImDkDddu1kyUF3UfK5eqBxyFB4nYSh5WRBZqVVeJ9NalCGQ8rW+AKpzPp2CRsvL0Rn1f+HH0qiD1WSbkh3iFXdxWEezXh4b4/RU93W7dBlMitlu+nn+DZpLGSkdJte+jQISkPXEYK5ZIbPXq0XueaDbc2YPLxyZi/2h257gch7/zv4fXuuxkZittYCQK8r1qJIlU4DSbcVagUFsk0CFgz4d67d294eHhg8eLFuCmubOfJk0cC0RKEe1RUFJycKMlN2kUf4Z5eO7V9z4S7cTViKsKdpFx2/AEmbLkqCTymZSn0b6iQADPu1DXXGz+cplQZY6K5ZWxSgeuuqos3UW+wpcMWFMlcRNlYOsK96USg/ghlfRm79dTsgnCP1ku4x4sY7fc7dkKkiP+btXt3dNmzG0ePHpXl3a4T9Zufl2JE/+7Glpz70wACvK8mVRLjoYFFa0YRJxydgM13NuOLKl+gd/neykbWEe75qgO99yXpK1Y4RN2qWUv6rPixo3DIJkKJmbBs3boV7du3z/AIgwcPxoIFC1Jtv+n2Jkw8NhEzd2dFsfMvkHPcOGTr/kmGx+KG2keA91Xt61CtM2DCXa2aYbmMjoC1Eu4hIlN87ty5cebMGVCi2QoVKmCceHCgoiPct2/fjrFjx+KWeNklb/LffvsN5cqVk+o8fPgQ9FByRFzzJrKcEs5QUlxdYtuDBw9i5MiRuHjxIrKJh6sePXpg+vTp0rU9KpQol/qify9fvhzly5fHP//8I3kV/CQ8IOiBieQgGSlhru6aH32fuJAXA9VLHlImMjJSGn/16tUgHVarVg3fffcdqlcXD4OJ5rhv3z7Jm+HatWvSHJcsWYKSJU3vxZxAuLtlR063nPrXrck83IXHvKf+EDVPQ54iICLAZmO4J1fIzwfuYs5uEfZAlKnty6J77UJG32tspUN+OE2pacbEVla/vHnWWVUHwVHB2NphKwpnLiyvkb5aWwYJD/flQNNJgnAfrqwvY7ee5gPERgHDrgGZ86boPXDDBvh9NR52ItH93dGj0Dqd6/7JOyC/9tz5iuKx7x1jS879aQAB3leTKonx0MCiNaOI44+Mx5a7WzC0ylD0Kt9L2cjXtwNrPgby1RCE+94kfYUcPixuKfWFY8ECKLZnj7JxZLT+888/pXdOQwu9j8bExKB169ag99/Uio5wH3c8FyodeAzv3r2Q40uV3RwzdOJcXxECvK8qgo8bp4EAE+68PGwGAUMIdwppEh4tEoBZoLg62hsUX/r333/Hzz//jNOnT0sPFkOHDsXt27elPnSEe+nSpfH9998jl0gIQ2T8lStXJPLdUVztbtNGXA8URPu3334Ld3d3ibD2Ei/FDRo0wJMnT1CiRAmJBB8yZAhu3LiBPuJK+KBBgzB58mQJHSLcz549iwEDBqBXr7cPekR00/je3t6YPXu21NeyZctAV/wuX74MkofkrSGS7hBRXrZsWckrngj95IT7F198gfXr10uHBJQ8h0h7IvHv3Lkj1dfNsWbNmpgzZw58fHzQv39/yXOOPOhMXXSEu4+bj0Rq6y1MuMtShSk93HUCfPvXTSz4+y1xM6dzeXSpXkCWbFwpKQL8cJpyRTAm/CtJjEDtlbUREh2C7R23o6CXvORvehHcLAj3C2on3MUNosz5kkwhLiICd5u3QMyzZ8guCI3G877D9evX002WmhoOq7f9hS5t3uFFZmMI8L7KttfGlrxB0/3qyFfYencrhlcdjp7lehrUNkXl69sE4d4tVcL9xfwFeCkcqTK3b4c84n3L1GX+/PkYNmyYbFtBIcfo78MPP8Tnn3+e4JiVmpxb7mzB+KPjMeR6AdTffA9e4l047zdzTT0l7l/FCLCdUbFyNC4aE+4aVyCLLx8BQwj3sKgYlJlo+tP71KS/NrU53Jzeeo/LKXXr1sUHH3wAIqbpRJ88ydetWycR4ToymrzDu3TpInX3+vVr5MuXD3/88YfUjjziO3fuLHnHJy9fffUVNgjPNHo51nmkk9c6eZJTrHV6sKFxCNtz584laU71ifimwwBdqVWrFqpUqSJ5vusLKZOYcA8NDUXWrFklWbt2FTEFRYmOjpa88OlggTzfdXMk4r5p06ZSHcpST54N4eHhcHFxkQNjhuvoPMjVTrinK1+GETBuQ3MQ7nSgNmPHdfx25L5Y18B3H1RCh8opvTKNOzPr640fTlPqlDGxvnWuZEa1VtZCaHQodnTcgQJeCg/2Ng8UhPsKoNlkoJ5pk9UZPOdp4rA5NhIYegXIkj9J81e/L8FzcVDuIJ5NTvToju49M0YI2SETClWtj7tnDhosHjfQNgK8rybVH+Oh7fVsbOnHHR6Hbfe2YUTVEfi03KfKur+2FVgrQqvkrwn0+itJX48+64XQY8eQc+IEZPv3nUzZYGm3njp1qnSjmt775JRRo0ZhxIgRyJEjDeenfzuiAwo6qOj5tDhaLr0ON3FruuAykZSci80iwPuqzare5BNnwt3kEPMAakHAGgl3itdO4VzIE133gEHhYYgMJ49yHRlNYWMKFPjvZb9y5cro0KGDRLKT5zh5p5O3ebNmzSTynUh4Kp06dULmzJml8Cy6QqFlKGSLrk8i3IsXL45FixYlUTUR7kuXLkV3Ea9VV8hT4cKFC1LIGTmEuy5DPdUl73Zd6dixo0TEk3e/bo7Pnz+XvNupUCJWIvaTz9sUa9FyhPu/SVg95YWUYcI9qfaJdB+/+QpWnHwEe7tMmP9hZbSuoD80jynWjtb75IfTlBpkTLS+qo0rf40VNRAeE46dnXYiv2dSItrgkTYNAC6uFIT7FEG4DzW4uUkbTBfh1GIiBOF+WRDu/z1rxIqQd3ebvYPYwEBkmzwJ1cQh+ePHjxWJcuDEWTSsWUVRH9xYWwjwvppUX4yHttavqaUdc3gMdtzbgS+rfYkeZQ0PwZJEvgTCXcRq7/Wf41l8XJwUvz0uOBiFNqyHq7iZbOoyfPhw/PDDD7IId3rnpJva9J4pp2y7uw3jjozDe2Fl8MH3l8wWJkeObFzHMgjwvmoZ3G1hVCbcbUHLPEcJAUMId62ElKHTfIq3bm9vn6Blkt3Z2Rl+fn4S8dy4ceMUxHNiwp0a+vr6YseOHfjrr7+ksDT00EIhZOQS7kTAz5s3L8lKMzfhHhAQgCxZskgyEKlPc7x//77kDW/KwoS7cdE1h4e7TuK4uHiM3nAJ684+hoMg3X/8uAqalxUHGFxkIcAPpylhYkxkLR2bqaQj3Hd12oV8nklDrRgMgo5wf2cqUPcLg5ubtMF0sW+Kg4XkhPuLH37ES0GYOBUujNCZM1CpalXQM4qcQjfodM828eL2nmgI8f9RvWUXnNq5Wk4XXMdKEOB9NakiGQ8rWdhGmsboQ6Ox8/5OjKw2Et3LKkwsfW2L8HAXfRSoDXy2O0HCKOH4dLdFS2QSH13iPwAAIABJREFU4T9Lnj2DTCIkqanLZ599JjmP0e1tXaHsX/b2doiJjUsxPDlm3bt3T7p9nV7Zfk/kNjs8Fs0dK6HXVDEf8d5c8sJ5g0K6pjcGf68tBHhf1Za+tCQtE+5a0hbLqggBQwh3RQOZqTE9gFBoGCLd33333SSjkvf6lyJWaqlSpSTCfc2aNVL4GCpETFM78lrXfZa4MSVXJfKdvMv1hZQZM2YMAoXHmi6kjD7CnTznKXyMrtSuXVsiwumzp0+fIm/evFKy16riJVxXkoeUoTjtJGvikDKFxcs7hZShOeo83DVDuKfjkS57+ehiwrOHu2zIUqsYK0j3EWsvYPOFp3C0z4RfulVF09JpJL9VNJp1NeaH05T6ZEysa40rnU215dUQKUKt7Om8B3k88ijrblN/4eG+ClAz4f7FJSDr29toMeJZg7zb40RouLwibrtXixaSIwDdwKODVd1f3759pbwzqZWBAwdKt+xe7t2LYJG35YZIEP6iZmdc+kOENHB3UoYnt9YMAryvJlUV46GZpWsWQUcdHIVdD3ZhdPXR6FZGxF9XUq5uBtYJL/lkhHvQ9h14Kt65XCpWQGHxTmmOQk5fmzZtkg5eKS9Xdi9ndCkZhx9P6w8xQ++vrVq1Sle8nfd2YvTh0ajjXR1Dvzwu1S9x4jjs/3XcSrcDrmB1CPC+anUqVc2EmHBXjSpYEFMjYG2E++bNm6W47BRKhV5IExeKsf73339L3u9EuFNSUkqamjNnTolEJw9wesGlRKVEXLds2VJKjkqkNb3gkpcAkfS6pKk9RcxVClVDIWx69+6dImmqPsI9e/bsUiLTevXqYcWKFVIsPkqaWqZMGcljgZKzkjzUJ8Vap3kkT5pK8lFM+sWLF0thcXRJU+/evSuFlbF5wt1DeBZ66Q+FItsD39Q/QJn9m9PDXScSecp8seYCdlzyg5PwnPn1k6poXCr9GJAyp2S11fjhNKVqGROrXe4ZmljVZVURFReFvzr/hdweCkNWbewHXBKe3e9MEx7un2dIHpM1miHmFh0GfHFREO6FpGGefT0Xr0XYN+cypVFYJD7PpMfrsHz58lIi99QKJXenkHWBGzfBTyR8f5izMPrXHoTPmxbH8HdKmGw63LG6EOB9Nak+GA91rU9LSzPy4EjsfrAbY2qMwcelP1YmztVNgnD/VBDudYSH+66Evp7Nmo3XIkxo1o8/Rq4J45WNIbN1G5HIlAh0CncaXPQdfOX9F9o4nEKZpe64+ehZittSRMw3adJEuq2dXtl1fxdGHRqFGrlqYPTk64gV77+Ft2yGS8mS6TXl760UAd5XrVSxKpgWE+4qUAKLYB4ErI1wb9u2rZS5nR5GkpdTp06hZs2aEslOyVS3bdsG8konkp3IcYq3rovTTqFjdu3aJcVVJQK8hfBC++677+Dt7S11e/DgQSk5KcVuJ2/zHj16SMS5g8PbxK4Uw10f4f7jjz+CDgYOHTokJXMl8j2xVz3Fj6ekOETs169fXyLPkxPuRMCSF/+qVasQLGIHVqtWTZKvukhwQ4UJdybcjbGDRAvS/fNV57Hrij+cHOywUJDujUoy6Z4WtvxwmhIdxsQYv0br6aPyssqIiYvB3vf2Ipe7wnBVG/sKwl14Fr47HagzRF0gzRDe+yI5LD6/AGQrjOhnz3D33eaIj4xE/oW/wqNBA73yFitWDHSAnlp59OgR8ufPj2jhGX+ncRPEC9L+/RZTYO/liWNjm8LDWX6CeXUBxtIYggDvq0nRYjwMWT3WX3fEgRH46+FfGFtjLLqW7qpswjrCvWBdoOfOhL4edOuG8DNnkXvWLGTp2EHZGDJb03tppLAhRYsWxdiNl1Hv/HC0tj+FXyPaYsDXK/WGJyPnMHIiS6vQAQUdVFTLWQ0TfglE5I0b6doqmWJzNY0iwPuqRhWnAbGZcNeAklhE4yBgbYS7cVAxXS8Uw52uAlJ4G2susj3IAx8BYa8AY4eUYQ93oy0vIt0HrzyHPVefMekuA1V+OE0JEmMiY+HYUJXKfwrCPT4G+97bh5zuCkNVJRDuMwThPlhdKM7MC0SFJBDufpMmI1DcknMV4eIKLl+WZlxcCnFHh+6plcTJ0O+2ao0oEZ93YbN+2ORRHGNalkL/hkXVhQNLYxIEeF9lwt0kC8tKOh1+YDj2PtyLcTXH4aNSHymb1ZWNwPqeQMF6gnB/69AVL8K53KxeA/FhYSiybSucxa0jc5flJx4iy44+aGN/EiGNpiN323EIEUm5kxfych80aJDkcJZW2fNgD748+CWq5qyKaZtcECKcy3JNnYKs/4ZfNff8eDzLI8B2xvI6sFYJmHC3Vs3yvFIgwIS7eReFrRHuOdxywMfNRz/IFiLc/UL88DriNbK7ZUdON4WEjxmWkCVCyiSeVlRMHIasYtJdjqr54TQlSoyJnJVjO3Uq/lkRcfFx+Pv9v9O2D3Ig2dAHuLxWeLirmXA/j6hge9xt3UYEcY+RyHY3cSstreLj44OXL1+mWoV+T56entJ3/jNmIkAk0HvdtA0+9myE7B5OODyqCVyd/ksaLwdGrqM9BHhfTaozxkN7a9iUEg/7Zxj2PdqH8TXHo0upLsqGurJBEO6fJSHcI8Xt6Htt2yGTmxtKnj6FTILUNnc5/ygATxZ1kQj3+JZfY/jqG1iwYIEU2z15cXd3h7+/Pzw8PPSKSQcUdFBRJUcVzD5eCIFr1yK7IOp9hqjsMNvcQNvweLyv2rDyTTx1JtxNDDB3rx4EmHA3ry6YcE+GdwLhLmLdkpe70qJLmpqOhzsT7oYDnYR055juegHkh9OU0DAmhv/erLlFhaUVEC/+758P/kF21+zKprqhtyDc1wHNZwIijrmqysx8wsM9GBhyDk+/XoigLVvh3qA+CixcmK6YlLuFfjepFQonQLlmqASLkHOP+w+Agwgx89k7Y+D7OhwT2pRBr3qF0x2DK2gbAd5Xk+qP8dD2eja29EP/GYr9j/ZjQq0J+KDkB8q6v7we2NALKFQf+HS71Ffgps3wGzsWrtWqotDy5cr6z2DriOhY7J/aSoSUOYEg4eH+It/b3GPx8fEpeqT3TwppOmDAAL2j7Xu4D8MODEPlHJXx7f1aeDl/ATK/1xl5RMhULraJAO+rtql3c8yaCXdzoMxjqAIBJtxVoQarE+JJyBMERgRCvoe7hQh3QfYoDmlgBu1Z2sNdN0UKLzNk5XnsvuoPR/tM+PnjqmhWRv03BMygooQh+OE0JdqMiTlXoLrHIiKgwp8VJCEPfHAA3q5v86JkuKwXJMgVQYY0nyUI94EZ7sYkDWflByLfILL9Ntz7WJAcIr9MIZEo1bVc2XSHc3V1Be37KVkT0Y3Yh4k8oRIXGoqbtWqLWPHRuPr1Enx57BVyeDrj0KjGcHE0v8dluhPjCkZDgPfVpFAyHkZbWlbR0ed/f45/fP/BxNoT8X6J95XNKRXC3X/adASsWIFsIodXzrFjlPWvoPWBGW3QKPowblYaj5IdRko5x/bt25fCy51sBiXbviHisuvsR/Jh6YCCDioq+lTED+Ed4ffVeLiLXGIFFqV/SKxgCtxUxQjwvqpi5WhcNCbcNa5AFl8+Aky4y8eKa8pHgAl3+VjJqakWwp1kJdJ96OoL2HHZDw52mfBD18poUU4cmHCREOCH05QLgTHhH4cOAQolQyFlqBzschDZXLIpA0dHuLeYDdTS77mnbJAMtp5VQBDuQXga2A1Bu/+Gh0imnv+Xn9PtjA4lKAE7JYBPXhwcHRAdFZ3k44efdEfY6dPIPn482vnmgl9QBKa0K4sedQqlOxZX0C4CvK8m1R3jod21bArJh+wfggOPD2BS7Ul4r8R7yobQEe6FRaLrHtukvu536YKIi5eQ55tvkLlNa2X9K2h97n8dUeXN3/in8Ag07jERu3btQqtWrfT2uH//fjRp0iTV7/9+9De++OcLVPCpgF+9BsK3d284C4/5Ilu3KJCQm2oZAd5Xtaw9dcvOhLu69cPSGREBJtyNCCZ3lYCAxQj3IF8gVMS99RBe11559GrEL1TEcA8XMdzZwz1DqzZGkO7D1l7EtotPYS9I93ldKqFtRf14Z2gQjTbih9OUimNMNLqYTSB2bFwsKi2rJPV8uMthZHHJomwUiqtL8XVVSrhHvQzB3d3iQFLsmYXWrYNr+XLpzjdaeKvrQsYkr+zs5oyI0KSe7y9/+RUv5s2DR7Om+OfjLzFxy1XkzuyCAyMbwdmBvdzTBVyjFXhfTao4xkOjC9lEYg/ePxgHHx/ElDpT0Kl4J2WjXBJhyzaK8GX/Eu7xYo++WbUa4qOiUHT3LjgVKqSsfwWt7/3cBUWe7caqbAPx0eezpIPaYsWK4f79+yl6peSprVu3xpYtqRPoB3wPYMjfQ1A+e3ksKTFFilFvJ8KblTx5QoGE3FTLCPC+qmXtqVt2JtzVrR+WzogIMOFuRDC5qwQEmHA37mJQk4e7bmaxcfEYuf4iNp57AsG5Y+57FdG5qohZbOOFH05TLgDGxMZ/FImmHx0XjSrLqkifHPnwCDI7Z1YGzrqewNWNgnCfIzzc+yvry9itZxfA04OZEHTfDe4NG6DAr7/KGiE4OBheXl6p1nXP4o6QgJAk34VfvoIH778PO5EMr8DhI2j03WE8exOJaR3K4ZNaBWWNyZW0hwDvq0l1xnhobw2bUuKB+wbi8JPDmFpnKjoW76hsqEsiMfdGkaC7cEPh4b4VEdeu4X6nzrATyatLCDI6k52dsv4VtH619BN439+K/9n1xPCJ86Sevv/+ewwbNkxvLHci4wsWTGkbDvoexOC/B6Ocdzksb7gQt6rXkPoref4c7ESYMy62hwDvq7anc3PNmAl3cyHN41gcASbcLa4CqxTgSbCI4R5pgRjuQY+Fh/sL9nA306qKE6T7uE2Xsfq0r4gJCczoUB5da4owCjZc+OE0pfIZExv+QSSbenSsINyXvyXcj350FF5OqRPLshFb96kg3DcBLb8GavaT3cwcFaPGFcLdTS5AfCYUWrsGrhXexq5Pr7x8+RI+Pj6pVsvskxmBzwOTfBcfG4vbdeshNjAQBVeuxLqIrJi0lb3c08NZ69/zvppUg4yH1le0ceUfsG8Ajjw5gml1p6FDsQ7KOtcR7kUaAd23IGDtWvhPnAS32rVQcMkSZX0rbB2zthccrq3HtOhu6Df6W+TwckFQUBBy5cqVah4Q8nL/8ssvMXu2CMOWrBx6fAiD9g9CGe8yWN169Vsv/rAwi3vxK4SImytAgPdVBeBx0zQRYMKdF4jNIMCEu82o2qwT1RHulJCUwrboLYGPgLBXgKeRkqbKJNz9Q/3xKvwVh5Qxwqog0n3KtqtYevyh1NuENmXQq15hI/SszS744TSl3hgTba5lU0gdGRuJasurSV0f/+g4PJw8lA2TQLjPFYR7X2V9Gbn107bFEXTbAe41q6DA0hWye3/8+DHy5xcJV1Mp3nm98fKxCJuWrDwZPhxvdu5C9kGD4Nl/ABrNPQD/NxGY1r4sPqldSPbYXFE7CPC+mlRXjId21q45JO2/tz+OPj2KGfVmoF3RdsqGvLgG2CTsS5HGgnDfDD9BtgcK0t27T2/kGDFCWd9KW28QnveX10qEe51uE9G0tAipKcqAAQPw22+/ISYmJsUIdIPK398flJw7caEDCjqoKJ2tNNa2XYu7LVoi6sEDYb+WCjv21tudi20hwPuqbenbnLNlwt2caPNYFkWACXeLwm+1g2uFcPd29UYu91yq14MaQ8okBo2S/M3efQO/HrwnfTzinRIY3KSY8HoXbu82VvjhNKXCGRMb+xGkMd2ImAhUX1FdqnGi6wm4O7orA2dtD+DaZuHhri7CPUqQ5nffaSZ5txf8eTbcGreXPc87d+6gePHiqdbPWSQn/O/6p/gucMMG+H01Hq6VKqHQ6lX48/gDKZZ7Ti9nHBzZGC6OHMtdtgI0UpH31aSKYjw0snDNJGa/vf1w7OkxzKw3E22LtlU26sXVgnAXN6j+Jdzvd34PEVevIu+87+DVooWyvpW2TiDcP4Zn46EY2qyE1OM1EfambNmyenv//fff0bOnCMmWqBx9chT99/VHqWylsK7tOjz8tCfCTpxAnq/nIHM7hYcWSufJ7S2CAO+rFoHdJgZlwt0m1MyTJASYcM/4OmjUqBEqiZfbeSJZGZekCDwOfoygyCCo3cOdCXfjrVwi3Rf8fQf/23tL6rRfgyIY07KUzZHu/HCack0xJsb7nWm9p7DoMNRcWVOaxsmuJ+Hm6KZsSmu7C2ZBJIBr9Q1QQ3j6qaT4TZiIQJEk1T1nBAqs2wXkKCVbsitXrqB8+fKp1s9XOh98r4nk4MlKtJ8f7jRuAohYwiVOHEeMm7vk5e4XFIGJ4tbRZzZ860g28BqryPtqUoUxHhpbwCYWt89ffXDC7wRm1Z+FNkXaKBvtwipgs8gRUrQJ4j9c+1/C1D274ZRKLHRlgxnYeqPwvL+0BtOjP8b94j2x+NO3B9pU6D31yJEjiBVhxxIXcoYpV64cLl68mOQZnQ4o6KCiZNaSWN9uPZ6OHo2gLVvhM2I4svdRj301ECGurgAB3lcVgMdN00SACXdeIDaDABPuGVe12gj3R48eSVcI//nnH3iI5Gk9evTArFmz4ODgoHeSM2bMwI4dO3DhwgU4OTkhUMSANUZhwt0YKP7Xh9o93BPPdvGR+5i2/Zr0EcVzn9a+HOwpq6qNFH44TaloxsRGFr+MaSYm3E99fAquDgoTsa35BLi+VVWEe/STJ7jTXHg9iqv8BZu+hNukQ4JwLy0DnbdVzpw5g+rV/yNNEjcsXKkw7p1/e5MoebnbqjWi7t1D3vnfw+vdd7Hi5EN8tekKsns44/CoxnB1Yi932UrQQEXeV5MqifHQwKI1o4i9/+qNk34nMbv+bLQu0lrZyAmEe1NE1JyN++3aw87dHSVOn7JowlRpUhuF5/2l1ZgR3RWb3Trj1LimCST6pk2b0KlTJ71zP3r0KOrUqZPw/fGnx9F3b18Uz1ocG9ttxPP/fYdXCxci68cfI9eE8cow5NaaRID3VU2qTRNCM+GuCTWxkMZAgAn3jKOoJsKdvBfI256S5MydOxd+wtute/fu6CM8EmbOnKl3kpMmTUKWLFlAMWMXL17MhHvGl4NJW2qJcCcgVp96hLEimapwekfbinnw7fsV4eRgZ1KM1NI5P5ym1ARjopbVaXk5QqJCUHtVbUmQM93OwNneWZlQOsK99bdA9d7K+jJSa/+p0xAgkpe65Y5DwYYi/MvAEwYR7kSC1KtXL1Vpitcsjlsn3t4iSl78Z8xEwLJlyNKlC3JPmYyomDg0+fYAHgeES7eN+jcsaqQZcjdqQID31aRaYDzUsCrVI0OvPb1wyv8Uvm7wNVoWbqlMsAsrhYf7AKBYMwR59cDTUaPhWrUqCq1YrqxfY7TeJDzvL67CrJiP8WtMaxwf2wS5M789yKb47QWFB/7Tp09TjETOWJ07d8bq1SJczr+FDijooKJYlmLY1H4TXq9YgWfTpsNThEfLt2CBMaTlPjSGAO+rGlOYhsRlwl1DymJRlSFgjYQ7EeF0VY7KMvHy6ejoKHl+T506NeHUPzIyEl999RVWrVolkcxUf86cOdL1OyqvXr3C4MGDcejQIQQEBKBo0aIYN24cPvroowTAkxPu5CnetWtX/PTTT/hYeAMkL9WqVcOHH34oZYen0qFDB8m7nPonj3RdorTbt2+jWLFiBil2165daNOmjfRQlTPn24Q5v/zyC0aL64AvXryQvNfTKn/88QeGDh0qi3AvVKgQevfujVu3bmHjxo3w9vbGAvEgVrt2benz/fv3I3+h/Jg8bzKa1m0qJSbV9b98+XKMEAmGfH190apVK/w5fzrWicRDk75bhKA3Ifjkk0/w3Xffwd4+g554BiZN5ZAyBi0zgypvv/QUw9ZcQHRsPBqV9MHPH1e1CQ9LfjhNuUwYE4N+OlZdOTgqGHVWvfWoO9vtLJzs07ZN6YKxppvwcN8GqIRwjxHPDneaNEW8eMYo0DIa7plfiOx1x4GcZdKdiq4C2dBmzUT891RKmQZlcPXg1VS/Cz4gyHWRMNUxb14U3bdXet5Zd8YXI9dfQhY3RxwSXu5eLo6y5eCK6kaA99Wk+mE81L1ezS3dZ3s+w2n/05jbYC5aFFYYZ/28SHq9ZaBEuD97XAOvxTuTary+/yXcf3PtiekB7+CXblXRotx/ualmz54tve/GxcWlUAG9a9H7WO7cuaXvTvmdQq+/eqFo5qLY3GEzgoUtejxoMFwqVEDhtSJxLBebQ4D3VZtTudkmzIS72aDmgSyNgEGEO7mrivirFikU51VmAkYiws+ePYtevXpJRDtdz+7bt68Ua508vqnQfymhDD2I5MmTB3Ttbvz48bh8+bKUrOyJuBJOZDy99FI2dyLGhw0bhmPHjqFGjbeZ2hMT7iuFN1v//v1B/yXiO7VCRPPNmzexfft24fkbj+zZs4twq3bSoUALkXRnhfAkIIKciHcq1B8R1GmVkJCQ/7N3HWBRHVv4tyBKFwUVezf23sWCvfcutqixJppEo7Fros+uscTee++9995jx66AAiqCBcF3zsVFlt2Fu3t3YXeZ8z6+PHXmzMw/w517/znzH+mfhw8fjm3btknSMCp7+PAhcuTIgUuXLqFYsWKx+tGXcA8ODpYi56tVqyYR5Nx3vpbYpUsXFClSBP1+7Yd7d+/hzOUzcLNzkwh3ngPGjA82uD5fcyxRJD9c7FNixLA/4eMXLEVbLFu2DK0oQs8gE4S7QbCZqtKRO/74acVFfAyLQMmsqbGwYyk4E/FjzSZeTjVnV2BizStev7Fxbo+KayKjty91uASbpAqfB2vocPv2DiLcp1CEe1f9OmOC0v5TpyFg7lyJoMhW8iKShDLhfooId93J62J2g983tL5HkDJXYa/CuLr/qtaeR4SE4E5Zuj0QFoac37SFv4RHoOa0Y/B5FYKfvXKjPyW0FmYdCIjnqvo8CjysY10baxSd9nTCRb+LmFR5Emplq6XM7WX6Ftvamwj3Gnh8wFFKJJph7Bi4NG+uzK8xam+myPurq7Ar/U/o9cgTPavkxKDa33OGvH79WvrODaN9IabxN+iwYcMwcuRI6Z/4gIIPKnI458DWxlvx4foNPGrRAsnd3ZH72FFj9Fb4sDAExHPVwibMgrorCHcLmizRVWUI6EW4fw4B/vZQ1qChtYfQdbgU9rJqM6nr7++Pm5RBniO82P744w+JkGaSnbXOmYjm//JLiMqYXGcyXZcEC38A58uXD5MmUXI2MhXhzgQ9Rw9s3boVlStX1tnH7du3SxHcHD3PSdGYZGdiOWXKlBLxz4cAoaGhEnnNxmPg+YnNVJHwTGY/fvwYe/fujSrOvuxJY3DXrl2oUyf265T6Eu6VKlWSDgrYfH19pegIfmnjWwRs2w5uQ6PqjXDD5wYKZC8gEe6dO3fG/fv3pdsCbHygsHz5Mvhd2Q+H9PR3juklTDiCnqPzDTJBuBsEmykrXXgUiC5LzuPdxy/Il94RS7uURjqnlKZsMkF9i5dTTfgFJgm6JM2q8eiE++UOl5E8qe4cI7I6riLc608FSnaRVcVUhcLpAJwTl0bQgXKmmf/A8TIRISH+tNmdBNJH3rqTYxs3bkRzbUQOqXIVr1McF3dc1OnmsXdHhJ47h/QjhiP1txt5O6+9RO9Vl2BPGu7HB1WDq73CWwVyBiHKmBwB8VxVh1jgYfIlZ1ENdNzdEZf8L2Fy5cmoma2msr5/I9y/EuF+759nCH/7Ftk2bkCqAvIPUpV1IJbaWyjy/spKXMn7CxpfLY0KudJg5Y9l1Sp06tRJ+rZkiZmYxsFfHGTGN6Ev+F5A572dkc0pG7Y32Y4vdEP6XiVPKRl3vmuUYDWWnGAmG59wnKAIiOdqgsJv1Y0Lwt2qp1cMLjoC1kq4M6G+aNGiqKEyGc4fsKyFvWfPHil6jMno6MYyMxx1vXbtWimjOxPv60juhF9EPn/+DP73Jk2aSH/HxoQ7E8hMjLPmqq4kZ6o2WLqG5VfOnj0rRcrzD0vMMNl+hqIl8uTJg99//z0qCl+flRrfhHvv3r2lvrJxtD5HSTAuLSgSgu3U9VOoULgCjp49Cs/SnhLhznVCKAJPZawfv2Htatw8RNcUHek6IxHunOiVo99ZqsYgk0m4+4X44fWH1xCSMgahrHelWy/fwXvRObwK/oRMqVNhedcyyJ5W3gGa3o0lcAXxcqo5AQKTBF6UZtR80McgeK6lD3iyq95XkTSJwtwOUYT7NCLcOyfoSAMoD4r/xElIQe8fOXZsR5IpFGX43k9vwp2JkfbtSSonppHSWqmGpXBu0zmd43w9dx5e0a0zB7p9lnn2LKlcRMRXNJx1Ajeev8OPFbNjaH358jYJCqhoPFYExHNVHR6Bh/iFiY6A925vXPa/jKlVpqJ6Vu0SXbIRu0QBRtv6IMy9Ku7PuAMQ8Zz34gUktVWYg0R2B2IpuIUi76+sgF/pwShzrBAcbZPj6oia9F0WGXDGxjedS5DmvC7j29ksmXrJ7xI67ukYRbh/JRma20WKSremch06CJtoQWrG6LrwYf4IiOeq+c+RpfZQEO6WOnOi33ojoBfhbkGSMrER7hs2bJA01jkCPqZWOGupc+JRJsE5kp1laAoVKiSR86xxzklmtmzZIuHMhLujo6P0ItOwYUNJu10VUa9rIooXLy7pvJ8+fRo1atRAy5YtpehwlrLJmzevJDnDxDubOUvKMBb8ozIeN8vysC492+kbp1G+UHkcPn0YVcpWidJw50MHlfEVxi0b1+HKXorod6SbBo7pwFEYXEaFsd4LWk/C3TWVKzLYR2oXmrNZWtJUbVg+CQhFh0Vn8Zj+m4YiLBd3LoXCmVzMGXaD+iZeTjVhE5gYtJSsslLgx0BUXht5E+ya97U498zEL/ctAAAgAElEQVQ4QVjdFrizE6ifsIR7BB3I36dbcuGvXiMDHda7NG0CTKK9XCLcT1CEe6E4h6IqwMECLImnYUS4l2tWDqfWkkSNDvtIt/geNm2GJHZ2yHPmNJJ+y99y9O4rdKRDT05effi3KsjoEplUT5jlIiCeq+pzJ/Cw3LVsip532NUBV15dwbQq0+CV1UtZE5eWEeHeF8ER5fBs3WPY0ndajm1blfk0Vu1vhHt4teEosD+/JOF4YIAncrk7qrXAN7hZbjWmljsHTDEZf45uRvEBBR9UZHHMgp1NaV8lu1+jJsJI5z0rJYi1i4W0N9ZwhB/zQkA8V81rPqypN4Jwt6bZFGOJFQG9CHcLwZKJcE4UyoS6ygYPHixJvrCkDCf7ZHKbE6KyNIo2a9CgAdxJs24hRayx8QsKy8nkz59fjXAvWrQoevXqJZHvHB0/c+bMWFFiHXhun19sjh8/LvlkH6x7vn//frVM8vpIyqiSpr58+VLqN9u8efOkKHT2YxtHFIa+kjJxEe6nblCEe6EKCUi4EwZOGXXOhSrCXRDu8ftLzRHunZeckyIt7UjegJM7eeZxi99OmLg18XKqCbDAxMSLzoLc882iquuqSj2+3vG68p6vpkTmd3YBDaYDJTop92egh6C16+BLt7aS04F9rn17kYSJ7kl5iXD3BXocBzIUlu2ZD+85aTvfHotuSZIlQYU2FXB8OfnTYVznvmdlSQogy6KFsKfcKmz8923mn8EZn0C0KJEJE1sUkd0fUdA8ERDPVfV5EXiY5zpNqF6129UO115dw/Sq01EtSzVl3bi4FNjeD69eFsPro35wbtQIHv8br8ynsWqztjxL3ngNR4ub5XD+URAmNi+MFiUzq7XAeck44EuXcb6zZJmTocPuDsjsmBm7mtK+SqaSKfOYOBHODbTnKDPWUIQf80NAPFfNb06spUeCcLeWmRTjiBMBayXc+RSfNdF79OghRaDz/588ebL0Zza+rs0yMPx3nFCUCfqDlI29MCU6q1evHgYMGACOhF+zZg1Sp06NKVOmSJIpVatW1SDcOQqeI9OZdGdNdv6zLmPSnxODurm5gclxNiavmahnORZ+ITLEWAKHiXvWpJ8wYYKkq8568T/++GOUJj2T/N7e3tI4M2aMJKNZxz4wMFDSt59IL1N8CMDG2vAc7a/NWGNdEO6GzJLhdawhwl01+vefvqDH8gs4eT+A9JuTEPFTGE2KZTIcHDOrKV5ONSdEYGJmizQBu6Mi3JMgCa51vKa8J6taA3d3E+E+gwj3jsr9GeDhK+2/D+rURRjtp+mGDIYr7bOSTSZJmWDa53scI8JdPsHN7xsDBw6UpO3UjCLcq3SsgsMLD8fayxeUU+btxk1wpRtj6f4YFFX28pMgNJl9imR8gD2/eCJPOvUISAOGLqokIALiuaoOvsAjARejGTbdbicR7q+vYUbVGaiaJfKQ12C7uIQI95/x7MoPCL79Fu70XE1Dz1ezsK19iHAnyZtqw/BXcF3MP/4Q7ctmwdjG6reqWBqVv/04iWpM49vbfPO7/8T+aL+rPTI6ZMSeZnukYi8G/YG39O3qRt/Fabt3M4shi07EHwLiuRp/WCe2lgThnthmPBGP11oJ9wKUyIaj0lmXjmVjevbsibFjx0ZdX+ds7fznZcuWSRrtnDSmbNmyGDVqlCQhwyR0ly5dJHLajq5ms0Y6k9NvKVFOdEkZJrlVBPutW7ck0p3JfCbytRn75bZYSobJfDb2x9rwnChUdSBgyJLkpKk8ziNHjkgSOKyHztI4/CLFxn/PBwYPHz6UEpOysYTL0qUUuRHDDh8mKRgaizYzb8L9eWSSOgeZEe4pSVLGQUjKGLLelNT59CUcv6+/hm1XKRky2R918qGHZw7l8hJKOmWkuuLlVBNIgYmRFpcVuPEP9YfXei8kS5IMV7yvKB+RinBv+A9lFP1GdCv3qpeHd7t343n/AUjm7Ixchw8hKb0zSDb5ByLc6RmnJ+HO+WM4x4lGgjuSu/fq7oUDcw7E2r93e/fh+c8/S1ryOXdFygKorOeKi9h9wxde+egGX6dSeo1TFDYvBMRzVX0+BB7mtT4TujdtdrTBjYAbmFltJipnjpQxM9i+Ee7392RD2JvPyEJ5qezLljHYnVErktQNWPKGCPddqduh18pLKODhhJ39NG9ws5TnmDFjNGRluD+cNPXEvRPocrgLPOw9sLf5Xqmb/tOnI2DOv3Bp0xoZaF8SlrgQEM/VxDXf8TlaQbjHJ9qirQRFwFoJ9+hEeIICnEgbfxr8FO8+vUN6+/RSYlKdFvQY+BAYpeGuGK63gnBXjGE8OeBEfuN235Kicdg6lsuK4Q0KIFm0RE/x1BWjNiNeTjXhFJgYdYlZtDOW86q+oTqSJ0mOy96XlY9lVSuKcKdIvAQi3FmqhTXTP9GBe1qSgXHrQ9f7VaYi3LsfBTwo8ZxM44N/JkZsbGykGtwGBxDwT82+NbF3RiQRosvCKfH43XIkJfPlC3Lu34cUmb9LCzx49R41px5DOD1/13Qvi7I5YtmfZfZXFEsYBMRzVR13gUfCrENzbbX1jta4GXATs7xmwTNTZKJug+3CYoRvIknQTZEBOpwfI5mLmeQgiiLch+JF4T4oP/6Q9B59Y2QtpCLpxuj24sULZMmSJer2FOu3877iTIfFP9MhbbPezdBudzspt9W+5vukqiq5NAcKwsr87xyDIRQVLRMB8Vy1zHmzhF4Lwt0SZkn00SgICMLdKDAKJzEQ0Jtwd6KkqQ7plOMol3AP9cPr0NdwFRHuyjFX6GHBcR/8tesWkUpAzfzpML11MY2PBIVNxGt18XKqCbfAJF6XoFk35hviixobasAmqQ0udbikvK8rWwL3iIBuSPlTindQ7k9PDyGnTuFJl65IkioVch06iOQkQRdlU/ID7+gQuPsRItyLyfbs4+MjJRr/8OEDWE7sEyVkvf7yOm69voW2fdpidrvZcfp63MEboefPI92woXAlqYDoNnTLdaw48wRFMjljS+8KVnGzKE5ArLCAeK6qT6rAwwoXuYIhtdzeErcCb2G212xUyqQ9X5ds9xcWIWTRIDw5lBY2JN3Jz3qzsW39KMKdbipXHYqvnr+h7LiD8Hv3Cet6lEPp7K4a3WzdujXWrl0r/T3LqHJuMZZDTUV7GB9Q8EFFOrt0ONAi8ibVe5IafdqtO2wp91mOrVvMZtiiI/GDgHiuxg/OibEVQbgnxllPpGMWhHsinXgTDzvBCXd7kpRxjiVpqiDcTbwC9HO/89pL9F93BZ+/RKBoZhcs6FgSaR1s9XNiJqXFy6nmRAhMzGRxmkE3Xr5/iZobayJF0hS42OGi8h6tbEGEO0XiNZoFFGuv3J+eHp6Q3FzIseNITVJy6Yf+qV57SgEi3J8B3UhzPWNxPT2rF19wfQGmX5qOJrmaYHSF0XH6CliwAP6TJsO+sieyzJ2rVp6TV1eeeBihn8Mxo00xNCxCB97CLA4B8VxVnzKBh8UtYZN2WEW4z6k+BxUzVlTW1vmFCJwyDH6XneHg5YXMs+iA11yMtOXBkjdVaf+pPBA/Lb+IPTd9JanGnyrn1Ogl5xybMWOGpNlerlw5tQPX/wL+Q6sdreBu546DLSIPFT7dvw+f+g2Q1MkJec+dNZdRi37EEwLiuRpPQCfCZgThnggnPbEO2RoJ98Q6l+Y0bhXhztcSXVNpRlhE9VUlKWPsCPc4CHfWEX4V+gqpU6aGh4P5kw3WlDRV1zo9/ygQ3ZZdwJvQMGRxtcPizqWQ00174l5zWusx+yJeTjVnR2Bizis2fvv2/P1z1N5YGymTpcT59ueVN76iOXB/PxHuFPVdTD2SW7nz2D2oiAhiLJBz7x6koKv6aja1IPD2KRHuh4hwL6GoOwuvL8S0S9PQKGcjjK04Nk5fH+/excOGjZDE1hZ5zp5B0pQp1erMOHgPU/bfRUaXVDj4a2WktFGXHoizAVEgwREQz1X1KRB4JPiSNKsONN/WHHeC7mBu9bkon5EktpQYEe4vho/G24d2SNurF9z6kW66udj2X4hwX0wZtYfQzyDMPfqA5BpvSzdG53mX1KuXtwNvo8X2FnBL5YZDLWnfIgt/H4K7JSP95LlwHskcLO+9XC8QRGE1BMRzVSwIUyEgCHdTISv8mh0CgnA3uymxig49fUca7p/fSTqAgnBXPqWJgXBnlFhfuPPi83gSGArnVDaY26GExWkMi5dTzfUuMFH+DLAWD8+Cn6HOpjpIlTwVzrU7p3xYCUi4vxw2HG/Wr4djjerI9A8lbY1pRiTcF91YhKkXp6Jhzob4q+JfceLGuu/3q3nhy8uXyDx/HhwqqUsqhH7+gqqTjkjSA4M5abWWSMg4GxEFEhQB8VxVh1/gkaDL0ewab7atGe4G3cXcGkS4eygl3Bfg4c/j8DEwBTJSElGnWjXNZ7wxCHcOXmnx72npluj5P730kgy7E3gHzbc3R9pUaXG4Jd3M+mZ3ypRFxNu3yLF9G2xz5zafsYuemBwB8Vw1OcSJtgFBuCfaqU98AxeEe+Kb8/gY8ZN3TxD8ORgZHIhwJ510nSYi3GVNR2Ih3BmM1+8/SZHul5+8gU2yJPhfs8JoWjyTLJzMoZB4OdWcBYGJOaxM8+gDH8bW3VwXdsntcLadEa6nr2hGEe6kNduYkrkVbRtvg/wSGIj7Vari6+fPyLpyBexKaIlgn1qIItyfAD9SpGAmZRHuS24sweSLk9EgRwP8XelvWeN8OXwE3qxbp13uhjysv/AUv2+4Bkfb5DjyexWksVAZL1lgWGEh8VwVhLsVLmujDanJ1ia4/+Y+5tecj7IZyiry+/XMPNzpOhlfw5Mix65dsM2RXZE/o1be0R8gjXlUGUw/f+BjWDgKjdyLsPCvOD6wKjLTjVG5xgcUfFDB321HW1Gy72/m07gJPt2+rfXwVq5vUc4yERD7jGXOmyX0WhDuljBLoo9GQUAQ7kaBUTiJgYAg3I27JBIT4c7I8QfDr+uuYuf1lxKQfavlQv/qeZA0aRLjAmsCb+LlVBNUgYkJFpqFuuS9od7merC3sceZtmeUj2J5U7oaQ1qzjf8lwr2Ncn8yPbyaPRuvZ/yDlAULItv6ddqjCKcR4f6GCXfqXyb9rvbH7MbSm0sx6cIk1M9RH+MqjZPVy+CDB/Gsdx/YZM6MnPv2avQxIuIrGsw8gZsv3qF92SwY25j6K8xiEBDPVfWpEnhYzNKNl46qCPcFNRegTIYyitr8vH0CHvy+GEmSJ0Heq9eRJJkZSXDtGECE+0LSb/+DdNyJdCdrNOskrj59g6mtiqBJMfkBK/eC7qHptqYahPvTn3ri/ZEjSD9qFFK3okTlwhINAuK5mmimOt4HKgj3eIdcNJhQCAjCPaGQt+525RPuj4APQYAVaLiHhYXh6dOnCA4OxpcvX5A8eXKkS5cO6dOnVzzZKsL91KlTGDNmDHx9fVGkSBH8QzIGpUuXjtX/sWPHMHHiRFy8eBEvSV5g8+bNaNy4sVqdWbNmSWV0+Z0zZw7459Ejmi+yAgUKYPjw4ahTp47iselywGTQpH13MPvIA6lIvcIZMLlFEbPXGhYvp5ozKjAx2a+JxTl+9PYRGmxpAEcbR5xqe0p5/5c3IcKdIsibUGLQIq2V+5PhIeLTJ0muJTwgAB6TJsG5fj3ttaYVJsL9MdCVIvAzl5LhWXeRZTeXYeKFifB08kTQ+iAcOnQIgRRlnzZtWgwYMAC//fabRuWIkBDcKVsOoL0px26KysyuGZV5xicAreeRxjudZe7+2RN50zsirv1AWy/j2iN4Xxw2bJi0//j7+6NYsWKYTtIMpUqp42JI24qAteDK4rmqPnkCDwtezCboeqMtjeDz1geLai1CqfTKnr/Bcwbh2XSSU8lghxyHjZDs25jj3fkrcH4BEe6DiHAnHXey0dv/w6KTD9GhbFaMaUy5RGTagzcP0HhrY9h9sEPOYzmj9hlXygHSgX5+HzIE7r+QZrwRzJBnvdhnjAC8ni7Ec1VPwERx2QgIwl02VKKgpSMgCHdLn0Hz7H9iJNzv378P1s3NlCkTklH0CxPw4eHhcHJy0jpJXDYJJduTY0y437hxA23btsXgwYNRpkwZTJs2DetJP/jOnTtwd3fX6Wb37t04efIkSpDkQdOmTTUI97Vr18Lb2xv//vuvTr/bt2+XxpSbtBu530uXLpUI+suXL0vkuyltHcke/Ln5unQ9tkgmZ8ynJFDuTuoJAE3Zvr6+xcupJmICE31XkfWWf/j2IRpuaQjHFES4tzEm4T6PCPdW8QLcm42b8PLPP5GcDlNz7d+HJDY22tudXgQIemQUwn35f8sx4fwEfJz/EbmdcmPChAlInTo1/Pz88ObNG1SrVk1rH3w6dcKnM2eRbvAfcO3YUWuZn5ZfxJ6bvqiUOy3q2T9ERyoX236gzUlce0SrVq2kPYwJEw8PD6xYsQJTp07Ff//9h4wZM0ou5exF8TLBFtKIeK6qT5TAw0IWbjx1k/cZ3m+MQbi/GtIFrzedhnPRNPBYcyKeRiCzmZ102Hp+vhrhvotuh/ZaeQk/ZHCig1T1/B2xefV544NGWxvhxT8vUMa9TNQ+c5ue20+WLkOttm3g8b//abhQBRnJ7LHBz3qxz8hF2HjlxHPVeFgKT+oICMJdrIhEg4Ag3BPNVMfrQPUn3OmD20E3aSy78++eA+/9AXvy5Rz5Ea/N/EP98Sr0FVKnTA0PBw/Z7mMrePfuXXwmPV+OameS3dbWNqr4J4qIvH79OnLkyCFF94VQ5CH/fyZM5BgT7hzdfpAkAv76KzJhXkREBDKTVEDfvn3xxx90lVSGMcEfM8KdyXuOMpw5c6Zefl1dXSXSvWvXrjJaVlaEozB/WnERb0LDkJ7I9gUdS6JgRmdlTk1UW7ycagIrMDHRYrNAt6oPemdbZ5xobQTiYhnd1vGh5G5N4odw5wPHhw0b4dO9e3D//Tekie35F0W476cI99hvIsU1lStvrcT4c+PxftZ7pAxOKUW1V69eHdmjRa3zDST+MxPXfPvp3LlzmNetG0ofOAj78uWRZRHJDmixJwGhqD7lKD6HRyDlrmGo7lle7/1Am1/VHsEHxY6Ojti6dSvq1ft+G4APgfmW1NixY6Xqhu5FcWFnrf8unqvqMyvwsNaVbti4GmxugEfvHmFJ7SUokU5ZDo1n3g0RfI6e+TUzI82MfYZ1yFS1VIS750Cg2p9SK/7vPqL03welm0tXR9SEY0odh8Ix+qQ6EH865SkyfM4Qtc+43vwPL+gWlR19K3wdM1pjn1m9erUU0CPXjPmsF/uMXNQNKyeeq4bhJmrFjYAg3OPGSJSwEgQE4W74RFapUgVFixaVIo2FqSOgItyZzGZSW6dx9J8kKWMY4a4iGDjSmucCMgl3JtuZdNdGuGfLlg2/0JVJ/mHTRlLHHA+TMEykM6nAkeD8/5kkZ1Kd/8wRiBwBb2dnJ0XAp0iRQpKcefXqlSTzwla/fn0pgp1/ohtHkHOkPEvDcBQJl1MZRyKybyYy5FjMsfABAfdpw4YNajIzsfnlvnBkPZdh3PPnzy+nacVlHr0OQdel5/HgVQjJyiTFlJZFUbdQBsV+je1AvJxqIiowMfYqs1x/qivrLrYuON76uPKBLGtEhPsRoClF+BU2vbbse7ot9LTrj0hCz83cRw4jmY4bTNLAptOeFPQQ6EIETRZlGsJMuI87PQ5ul9wwrds0ODs7S6Q4H/SuWrUKDg4O0j7AcmElS5bE33//LZEiTnS4+zcR8/NJfiZJqlQ68e47extWXX+HJ1OaYd269WjR7Dt5ou8+E3OP4INhPoQ+cOAAvLy8ovpQsWJFaR88QtrAhuxFyhePZXsQz1X1+RN4WPZ6Nnbv62+uj8fvHmNp7aUonq64IvcPqlXA5xeByOydFw5DtijyZfTKu34HztGBsyf9t9rQKPeVJhzC08APWNalNDzzuMlqliXf6m+sj5DDIdjy25aofebW+fMY9dIXLlmy4GbfPhr7jJubmyRFxvtObMY3mlhmU9/vDm0+xT4ja0oVFxLPVcUQCgc6EBCEu1gaiQYBQbgbPtXmRrg/efIEPXv2xOHDh6WPb/5IHjdunPRBq8s4Wnrnzp24cuWKRAIzeWsMiy/CnV+4mLRmHVtpnCYg3FnXnCPRo0esx8To8ePHEqEQPWL92rVrktQLv1y+ePFC0kdn8jy6HybQ+Yctb9686NOnjxSxHt24POvfcoQ7kyzlypEm7zcbOHAgjh49irNnz8qatpiEO/eLr/Oz77j8coQ+l+GDBF5fTPLUrVtXVrvGKvT2Qxj6rr6MY3dfSS5/9sot/ZhTMlXxcqo52wITY/0GWL4fXUnZDB7Z0obAw6NEuJOGbeEWBruRW/FJ9+4IOXYcqdu3R/qhkdGEOm1GMSDQhwj3vUS4l5XbhNZyq2+vRh9KgFqeos+3j9geVYYPiHv37o3ff/8doyihHd86YukW/ns2Pgy+WKUqXlN+kfSjRsIh2v4RvaG0GTKhyugtuDqhDX6duQ6Ten/HUu4+E9seUZ4i7Pkdg/cNvgXGEZH8jpIrVy5JFk2fvUgRkFZUWTxX1SdT4GFFi9sIQ6m7qS6eBj/F8jrLUdSdDj8NtAgKTLnDAT2UVyjXb8Vg8+MqAz2ZqNouimw/RzlMKpG0jNewqEYGrL2CTZefox+9Iw+okUdW4/ztVqxJMaQplAZ3p939vs/QoWlzuqnbNV16rKXD2EmUuyT6PsMFOacI/8RmvC9xQJLc7w5tvsQ+I2sqjVZIPFeNBqVwFAMBQbiLJZFoEBCEu+FTbU6EOxPPHOHN5C5/cHPUNOtyd6Pr5LFFHIwYMQIuLi549uwZFi5caHGEu8bs6Um4u6R0QUYHdemZmBHuca2Q0NBQiTDgJKZJkyaNKn7z5k2JhOfoPo5u53/jiHddFlu7/Hua0IQ7RyDyoc7bt2+liPgFCxZIZH98RbircPtCsgfjdt/GwhMUOUpWu0B6TG5ZBPa2ug+W4ppDY/67eDnVRFNgYswVZtm+7gbdRbNtzeCa0hVHWxFRrtRUhHszkksp1Fypt1jrf3r4ED516JCRpLly7t2DFBTtF6vNoKjKQEr6bATCffzm8fiz3Z/os60PplefHtUs7zscNT5lyhTpSn9KSmzHpHZ08x09BkH0dy4tWiADyQHosoX7LuDHWqWQtfMUnJ76EzI4R0bEyyXcY9sjHjx4gC5dukg3tfjWV/HixZEnTx4pmfetW7cE4W7AyhXPVXXQBB4GLCIrrlJnYx08e/9MMeH+8fZtPGzcBEltIpBneHkkabHYvFDbTclSz/6rQbivOvsEQyj/UbkcabC6u7wD3z0n9qBezXooPqc4znc8/32fKVwYxZ4/xyA3dwzOmQN2FPwTc5+RC4rSw1Wxz8hF2jjlxHPVODgKL5oICMJdrIpEg4A1Eu5MhBcsGJmVffny5bChhGYc+T169OioJJWsqf0nJT3jKCuO6uby/6NEMFyXLSAgQIo25o/DoKAg5MyZE0MoO3ubNm2i1kZMwp0jxVkOZPbs2WjXrp3GGuJr3q1bt8ZvpIPHxle/uQ7754hhJr2ZnL1H2rAc9aWPcWJMlhrhFxmOHmPjpGeDBg2SIsA5siw2W7JkiSShIifCnYnhH3/8UbrKvmnTJqRJk0bSi+XoZ/571hnPnC0zRk4biZoVa0qyLSr/nCjt119/xVOKtuPo6GXTx0jyJCOmLsDbd8Ho0KGDlEiNP8jlWExJmSM716Nq/ZY4sHU1Bo2eJCVk44OIxYsXSxHkKluxYQXG/zUe92/dl7CvVKmSpG3OFpukjKq9jRs3SmPmyHIuP3ToUDUpGCaiGc/b9KLO0feenp6S9roq6pAjPFj7nK/Ys/4gr09eN5YgKaPCkPWD+fdi7lyKrEkAW3eekqluiUymmi+9I+Z1KIksaewSoCfqTYqXU80pEJgk+LI0mw7cCbyD5tubI22qtDjckrTXldrSBhThfgyIB8Ldl67LBy1bDgd6T8j875y4e64i3DvvAbJ+v5kUd0XNEs16NcPuPbvRfWF3TKsaKWPHuUB4f2FpGd5P+ECX83l0pyj86Daiew9MXDBfev/RJSvDeyW/O6Sys0faRn+gVYtm+KcNReiT6SspE9sewX3m50GGDBnAiVTfv38vvQcJSRn9V4V4roq9V/9Vk3hq1N5YG8/fP8fKuitR2K2wwQN/u307Xvw+EKnSfkK2X6oAzRcZ7MskFaMI918pwn14VBP3/IJRY+oxSYLx2ohaSJH8e0CQrn78PPBnzN8wHwXHFMS5dufU9plhWbOiCZKg7vtgDB4+XGOf4eCu+JSUEfuMSVaThlOxz8QPzomxFUG4J8ZZT6Rj1odw56vJH758SBCkUiVPFUWWx9UBJsI5aoo/QJnIvHDhgvRiwFrrHPHNxv/lD8zx48fDw8NDIluZNOWrarlz58ZzOslnMp5JRY5S5g/C/v37S1HGpUtHJj+LTrjzSf9PP/0knfhH19iO3lcmmjkSeseOHdI1b/5Q5qhnPhSoXbs2Vq5cKRHkTLyzsT8mqGMz/lhlG04vP9u2bZOkYVT2kKLx+AP80qVLKFYs8sNZl+lLuLPECb9YVatWTSLIue98ZZwj2Djiru+vfXH/7n2cv3IerqlcJcKd54Ax44MNrs/ReCUK54eLQ0qMGD4MPr5v0axZMyxbtkz6EJdjugj3MiWL4X+TpoJ1BRlHvgFwkrR32XguGzVqhG79u0ntpLZJjV27dmHw4MHSv8sh3PPlyyddqeS1wuuCcWdZGZa14Ui+whQNwu3yAcTr16+l9caJSXmu2fiwgQ9HmCjhNcBr4+rVq5IkgDZJGT4g4rV36NChqARznDQ1C0VY8sGQ0qSpvKb5AIFNrl+ee26f5zah7OLjQPRYfgmv33+Ci50NZrUtjgq50iZUd/i0WdEAACAASURBVKR2xcupJvwCkwRdkmbV+O3A22ixvQXcUrnhUMtDyvu2hHJaPCIteBMT7hFEFN+rXAURtOdmnj8fDpUqxt33fyhRX8B9oPNuItzLx10+lhK129WWtM57LO+B6dUiI9x57+VAAN5L+JCab6vxITDvNdHtNcmZXfKqjogPH5BpxnSkpP0rpvG+x/tX4eIl8ThJBqSuQe8z3cqgbHZXvfcZle/Y9ggONGCN+QkTJkQRN5xIz5C9SBGwFlxZPFfVJ0/gYcGL2QRdr7WhFl6EvMCquqtQyK2QwS34T56MgPkL4JIrBBk61SDCXXvyaYMbUFpx9x8U4U4HwBUHANVHRHmLIAmc4mP3401oGDb1Ko/iWWLJp/WtVqcenbBmxxoU+l8hnG8fGeGu2mfO1KuPz/SdUubBfa37jFxJGd5njPmsF/uM0gUUe33xXDUtvonZuyDcE/PsJ7Kx60O4h4aFoswqZYm/DIX3bNuzsLORF73KpC5HELOkB0d0sTEhyYQ0k+wsi8FENP+XyXaVMbnOH3u6TuiZSFcRrVxHRbgz6crR8pywrHLlyjqHuJ2iJDiCm6PnWfuOSXYmfPkKOBP/TMqyPAmT12w8Bp6f2EwVCc9kNhO+e/eSVuw3Y1/29vYSmVynTp1Y/ehLuHNEuIo8Zm1yjlYbNmyYdIuAbfPBzWhavSluPbyFfNnySaRs586dJWkVjopmY0J6+fJl8LuyHw4ZcgMO7hIm/OHP0flyTJNw30AR7i2kCHevhq0lFzz+evXq4QORDYw1Hwx4ZPHAqJmjIEdSJrruuao9llPhAx02JsIrVKiA48ePS8nq+O+5rXnz5kmHKny4sG7dOolU4Og+XnccbX/u3LkoYoQj4X/44QfpxVaVrDX6+Fk3ndcMR8DzWuN1ygdI7Jfrqm41MIHPh0d8y0BlfCjDuLPxwQtLD1StWlWKrGfCfO3atVIEI0eq6/LLhxG8hrg8j4cPlvjghNdbjRr0AZKA9vLtB/y0/CKuPnuLpPTrPqTuD+haMbvsAzpjd128nGoiKjAx9iqzXH//BfyHVjtawd3OHQdbfH9OGTwiFeHOUYcFmxnsJq6KQWvWwHfkKNhkzYKcdKMsSTT5MJ11/ylJhPs9oNMuOsmtEFcTsf573wl9MXPQTFTsWRGL+i/Cnj17JN12vhnFB928/zDxwM9n3udi2rNf+iOY6qT5qQfcvyUE19Yg7wftOnjDpUZv5C5YFAWDTmAD3UKLa5+Ja4/gvYIDDXjv4/2I+8795H7zLUQ2OXuRIhCtrLJ4rqpPqMDDyha4wuHU2FADviG+WFNvDQqkLWCwt6c9fsJ7urWarsQbuDatR4e7lC/EnGwPBQudmU2Ee38i3Eeq9azbsgvY/58fBtfJhx6VI7+9YrN/5v+Dft37IWPbjDg88rDaPlPr5n84RHtBlxfPEUzfFdr2mbj8q/5dzrNe2/eM2GfkImy8cuK5ajwshSd1BAThLlZEokHAWgl3JtQXLfp+7Y/J8ObNm0sJH/lDlclzJqOjG0cRc9Q1vwhwRDQT70xocrQ7X3fmf2/SpIn0d2xMuPOHIxPjHD0dM6os5iJiuRaWX+EINCZp+YclZphsP3PmjKRnyh+hqih8fRZhfBPuqiRt3Ef+iOYobcalBWnEsp24dgKVilTC8XPHUbFURYlw5zpMOKuM9eM3rF2Nm4fWAk6ko06EOxO/TBiwVI0c00W4+9+/ArecRSQXly9flvRi+UCCCWM7OzuMnzIeXs294GJLGu6OsWu4ayPco5PlHNXB88rrjaP7eQwst6MiERgf6XYIkfB84MP/xmuR11N0zXdOuMqY6CLc+cYCr7MxY8ZICVhZKmfGjBlSpIjKRo4cKWHNuKiMoyKZYI9p3E9VdDq/2LL2vy6/fIjAJD7nBuDErRzBz7cxEppsV43pY1g4/tx8AxsvRd4OaVjEA/9rVhipUsiTJpKz1uSWES+nmkgJTOSuHusvdzPgJlrvaI10dulwoMUB5QOOItxJV7dgU+X+tHjg5/fDho3wieTe0g3+A6707JRlMynS/DUlnjMC4b7hzgb0HtIbH07RLUPaRgsVKiQdvqoSV/MznA+q+WBWm72lgIMXAwfBlt4zcmzbGmv3J06Zjj9H/42w94HIlqcA1iyeG+c+E9cewe8HTJbwDT4+7OXbbCyzxvtJdItrL5KFeyIpJJ6r6hMt8EgkC1/mMKuvrw6/UD+sqU+EexrDCff71bwQRreIslZ7DTuvxkS4z5fZg3gqtmcIEe6ztBLuC477YOzOW/DK546FndRvPmnr3cv3L1G0Y1G8OfYGtp9s1fYZjvSfMWEiNuArbvv5KR5cXM96bd8zYp9RDLveDsRzVW/IRAWZCAjCXSZQopjlI6AP4W5JkjKxEe6c8JE11jkCPqZWOOt5c+JRJsFZMoSjiPnDlsl5JkL5KtyWLVukiWfC3dHRUZJsadiwoRRppoqo17UymPjlKOXTp09LZGXLli2l6HCWsuHIL5acYeKdzZwlZRiL6MRwdFKa+37iOhHuhSvh2JljqFSmUpSGe3SNeH6Z2rJxHa7spYj+b4R7p06dJB15FcZx/YbpItyDHt2AS9bIF2yWe+HIbiasOXqeyfERf41QRLgzic+ENxv3l8nyw4cPS2uCI9V5bvv166fRfSb8WW/fUMKdr+AriSqJC09L/nd+Pi099Qhj6OMinK7SJpSuu3g51VxFAhNL/s0ybt9vvL6BNjvbIIN9Buxrvk+588UUcfj4BF3zNx3hHkK3kZ54d5T0z3MfPYJkJDMny6II950U4S5DgiYWp5vvbcbwU8PhmckTs7yIXNHTwmmfuluB+kDBBDkP7EeKTJli9bD+wlP8vuEa7OjQ8sCAyvBwiUygKsx8EBDPVfW5EHiYz9o0h554rfOC/wd/rKu/Dj+k+cGgLoVTJPfdkpFEdZ6mL5GsBAUVmSvhXuEXoMYotXFee/YGDWeehGPK5LgyvCaS8TXQWMwvxA/VN1RH8iTJcdn7slrJQLp97TdmLBxrVEembxKUBoEqKlkUAuK5alHTZVGdFYS7RU2X6KwSBPQh3JW0E591mfTkRKFMqKuMI6s4yl0VYczkNidEZWkUbdagQQO4u1NEwMJIrT7WtWY5mfz586sR7ky69urVSyJaOTqeT+xjM9b75ghnjpDmq9Tsk31wZPT+/fslLVaV6SMpo0qayhHI3G82ljThiHn2Y2trG2u/9JWUsWTCnaO906ZPi5H/jDQ4wj02wp0Pc/wo+oMTomozPlTheY8eJa/6u9gkZfjAQBDucT9JzvoEoPcq1nX/DCf6yJjeuhiqUnRPfJl4OdVEWmASX6vP/Nu5/uo62u5qCw97D+xt/l0CzeCeL65LhDvl52ixBCjQxGA3sVV89vMvCCZJFBeSgMswaqT8NmZSvpfXdyjr6A4gu/Z3DbnOVIR7pYyVMLs6yQcYYI9JKib0/HmkI913V+8OsXpg/d9W807j/KMg1MyfDvO8SR5HmFkhIJ6r6tMh8DCr5Zngnam2rhpefXiF9Q3WI5+rZt4KOR0MpeCax23aInlqe+SuRfJghSm/VNN5cqrGX5m9fwKn6duzws9EuEfKeqrsS3gEio7ej/efvmBnv4oo4KF+oyhmJ/1D/eG13gvJkiTDFe/vOcG4XPChw3hG37sp6Ts4+6aN8Tc+0VKCIiCeqwkKv1U3Lgh3q55eMbjoCFgr4c5JU1mapUePHlIEOv//yXQdjv/M1r59e0meg/+Oo5+ZoGfJDJbKYL3vAQMGgCPh15BuK0cvs+41X4lmsjZ6hDuT5RwFz4Qpk+6syc5/1mVM+vNVak7myeQ4G5PXTNSzHAsnajXEWAKH+8Ka9JyEjKVBWC+ek3aqNOmZ4PX29pbGmTFjpIwK64mzJArr27OkCB8CsLE2PEf7a7OYSUW5jCVFuLPEipeXF7oP6C7NVxrbNJLOO0uksMlJmhob4X7t2jWULVtW0tVl/Pl2BB/08IGK6kCG9dCZlJ8zZ450a4LXAK9ZnqvYJGUE4S7vt8P37Uf0XHkRl5+8obUJ9K2WGz975Y4zukee99hLiZdTTXwEJsZYWdbh4+qrq2i/qz0yOmTEnmZ7lA9qEeUneXKKCPelRLjTdX8jWxjtpfcp4ShHhmen/Ttl3sgbaLJsFsl9vbpNhPt2Itw9ZVXRVWjr/a0YenIoKmSsgH+ry8txEtNXwOIl8KfcG3blyiLrYroREIfd8Q1GvRnH8YXI9wVEuFcn4l2Y+SAgnqvqcyHwMJ+1aQ49qbK2CgI+BmBDgw3I65rXoC4FrV0HX5J6tC+YGVkKniXCnXJDNZ1rkC+TVVIR7uXpVm3NMRrNdFx0DkfvvsLw+vnRhfIbxWavP7xG1XVVkYT+d63jNbWiH+k792GjxkhG38R5TtOeKyxRICCeq4limhNkkIJwTxDYRaMJgYC1Eu4FChSQotI5uSPLxvTs2RNjx46NknwJCwuT/rxs2TJJo52TWzJJOmrUKElChkloJkyZnGbNb9ZIZ3L67du3Wgl3nrtbt25JpDuT+UzkazP2y22xlAyT+WxM4LM2POuvqg4EDFkLrFHO42RCmUle1uhmaRwmdNlUWt4qaRX+O5ZwWbqUiIoYppJH0dYPWYT7Nw13pZIy2jT8ovfJEEkZrr9k9RL87+//weeuD5xIHsDT0xMbN0ZGbCgl3NnHeYoiZH1dlg5iqRNOFMvk/hCKLGTjAxEm4zkKnhOe8lrkpLMxbw6oxsq5B0SEu36/FZ++hGPsjltYfuaxVNEzjxumtSoKV/sU+jnSs7R4OdUETGCi5yKy4uJX/K+gw+4OyOSQCbub7VY+UhXh3nIZkL+Rcn8xPLyiPBmvZ8+BHSXEzrpiuX7+Z5Ulwv2WUQj3bQ+24c8Tf6KCBxHuNQwj3D9Tbo8HtemAgt4JmDBJRpJ4cdn43bfx79EHyEiSMvv6e8LeNvJ9QljCIyCeq+pzIPBI+DVpTj2ovLYyAj8GYmPDjciTWo+D0miD8KUgmKBly+FaszDSudIBcZE2QBPDnr8mw2bfUODUP4AOwn32kfuYsOeOrJtKKsKd+3q943W1LkeX18l78QKSxsiDZrLxCccJioB4riYo/FbduCDcrXp6xeCiI2CthLsq8lzMdsIg8OjtI4SEhUhRjC4pXXR3IvAh8PFNlIZ7zIJ8aMDR86rknnGO5h1J8rynZD72boCzbo1afqlkrUJnW2dkcoxdyzbONuOhgCDcDQd5EyVSHbL5Oj6GRcDDOSVmtSuOYllSG+4wjpri5VQTIIGJyZabxTm+7H8Z3ru9kcUxC3Y2JW1zpbaoNkW4nwZMQLhHULL0+1WrITwgABmnTYVTbWpLH1MR7t7bgByV9ampUXb7g+0YcmIIymUoh3k1DZc0eFCvPj4/IAJ9ymQ41SU5njgs9PMX1Jx6DM+CPqBbpez4s17+uKqIf48nBMRzVR1ogUc8LTwLacZzjSeCPgVhc8PNyJU6l0G9ftL1R4TQbej03p5I/ZmCpMyacO9LEe5jNcZ56UkQms4+BRc7G1waWgNJY9Fx5wMKPqhgu+Z9TSMv2d0yZRFOgWfZKfF2ym/5xgwCVlSyGATEc9VipsriOioId4ubMtFhQxEQhLuhyIl6sSEQRbg7EuFuK4dwJ9LbgUjyaMaR4RxtfuLECWTOnFke4IJwl4dTIit12/cdeq64hIevQ2CTLAmG1P0BncpnizPJsSEwiZdTTdQEJoasJOusc9HvIjrt6YSsTlmxowlpmyu1hbWAp2eIcKfo8/wNlXpTq/92+w68oDwoySkvSq6DB5DExkY//7PLAf7/Ad5biXCvol/dGKV3+OzA4OODUSZDGSyoucBgX/50+y5g/gI41a+PjJMmyvJz+I4/Oi8+D+ZptvWpiIIZY9cBluVUFFKMgHiuqkMo8FC8pKzKQcU1FfH2E91KbrQFOV1yGjS2e3Tg+oXkP7MOagi7xxTZXqQtRbjPMciXySrtG0YR7jOAcn2AWn9pNBNGOu5FRu1D6Odw7OpXCfk9dCf9DvoYBM+1kfJnV72v0jM/qZq/h02b4SNJZGaaMxuOJLEqzPoREM9V65/jhBqhINwTCnkLbnfWrFmSBjZLRXACzH8og3fp0pQwS4etX79ekpBgSYzcuXPjf6SrWTdatNGmTZskiRHWdWYZkuia0SqXHPX666+/StIknz59Qq1atTB79mxJokKuCcJdLlKinD4IGINw16e9qLKCcDcItsRQ6d3HMAzacA27b/hKw61bKD3GNytMiVX1JNHiAMuUL6fWts8khnUnxqiOwAXfC+i8tzOyOWXD9iakba7UFtYkwp20dVutAH5ooNSbWv1HbdvhA+WASdu3D9x699bf9+zyRLhT8vYOW4CcysiJXT6UZ+T4IJRJT4R7LcMJ99BLlASwbVskJSm1PCdPyD5E6Lv6MrZffUFJ95ywtXcFJE+mTsToD46ooRQBsdeoI2hKPJTOlagf/whUWF0B7z6/w9bGW5HDOYfeHYgICcGdEpHJonNP80byM+OBou2AxoYlrda7A3Ir7B8OnJyuk3BnNyod92Gk4941Fh13PqDggwq2yx0uI3lSdQmxZ337IZjyUaUjyUzXDu3l9lCUs2AExHPVgifPzLsuCHcznyBz697atWulZJRMkJcpU0ZKmsmEOifSdKfIqJh26tQpSTN63LhxqE9RRqwzzoQ7J/csWLCgVHz58uWSZjMnweSEn9oId9br3rlzpyS34ezsjD59+tBVsaRSMlC5Zo2Eu9yxi3KmQ0BFuLNcC8u26LQoSRnNCHeDeicId4NgSyyV+NbEklOP8PeuWwgL/4qsaewwq21xo0Zsmurl1Br3mcSy7sQ4vyNw3vc8uuztguzO2bGtMUmtKLUown0lEe71lXqLqv/p3j34NKCIecoBk+vQIdik03yXi7OxORUAvxtGIdx3P9yNgccGolT6UlhUa1GcTesq8JWSv96r5IlwCuTIQu+O9mUpsasMexX8CdWnHMXbD2H4o04+/FTZsIhRGU2JIjIREHuNOlCmwkPmdIhiZoZA+VXlERwWLO0zvN/oax9u3MSj5s2RzNUVef7XDDg4igh3Ipkbz9LXlWnL7x9BhPu0WAn3uZSHYxzl46j+gzsWdCylsz/RCfdLHS7BJql6QIrf/yYgkBJuu1L+r3R/DDLtuIR3s0BAPFfNYhqsshOCcLfKaTXdoJhkL1WqFGbOnCk1wsk6WQKjb9+++OOPPzQa5uSJIXRyvmPH9+vUnLCTdceZtI9uMZNCqv6Nk3e6ublJZH1zeiFgu337Nn744QcpUSP7k2OCcJeDkiijLwIJT7inJQ133TI0+mq4820STopra2sLR0o05+DgIP3Y6CsxoC+Q38oLDXcDgdNR7TJpWvZZdRnP33xACorU/LPeD/Aul9UoEjOmejm1xn3GuLMqvFkCAudenkPXfV2R0zkntjSmyG+ltqAG8OwcRbgbl3BXJctzqO6FzN/e7fTuahThvpki3KvpXT16hT2P9uD3o7+jZLqSWFx7sSJfL4b8ibd0i9K1ozfSDR4s29e6C08xkG4J2SZPij2/eCJ7WnvZdUVB4yMg9hp1TE2Fh/FnTniMDwTKrSqH92HvJekyljDT195u24YXAwdFJszuUZQI99HmTbiXpVtYtf/WOszrz96iwcwTcKSk15eH19B5Qyn4czDKr6abWWQX21+k9+MUav4CV6yE39ixcKxRHZnoJr8w60dAPFetf44TaoSCcE8o5C2w3c+UVMvOzg4bNmxA48aNo0bAyR7fvHmDrVtJuzOGZcmSBQMGDMAvv/wS9S8jRozAli1bcPXqVbXSugj3QxRx5eXlhaCgILi4fNfIzpo1q+S3f//+stAUhLssmEQhPREwd8I94EMAfEN8ZSdN9ff3x5MnTyQUOIkrR0qzpUiRAvz7HP13UE+oZBUXhLssmPQq9DY0DL9tuIr9/1GSXbJaBdJhQrMicKbEUkrMFC+n1rrPKMFZ1LVMBM68PINu+7ohl0subG5ERLRSW1CdCPfzQOtVQL56Sr1J9SPogPVe5SqIoMCGzPPnwaFSJcP8zqGr+X7XgfabgFxehvn4Vmvvo7347ehvKO5eHEvrLFXkK/jAATzr0xc2mTIh5/59sg8aed/rsPAcTtx/jTLZXbG6W9lYE/Ap6qSoHCcCYq9Rh8gUeMQ5CaKA2SJQZmUZhH4Jxc4mO5HFKYve/fSfOg0Bc+fChYLkMng5AIfGAMUowr2RmUW4HxgJnJgKlO1FhPs4reMMj/iKYqP34d3HL9hCkmBFM2vPrfX+83uUW025R8gutL8A22S2av6CDx/Gs569YJv/B+SgQ1th1o+AeK5a/xwn1AgF4Z5QyFtguy9evEDGjBnBMjHlykVuUmwDBw7E0aNHcfYsaYvGMCbpli5dijZt2kT9C2uvjxo1Cn5+keSPynQR7hzZ3rlzZ0m7PbqxbnxVSmTCEjXajMtHr8MPUo7G54h5J9L0VJkg+CxwMZpRl/Um3J1JUsZePWmqQcN59xJ4Txrd9rFHuOtLuPv4+Ei5FLQZyz7xjylN/D6aBl0mkBadfITxuyMlZjK6pMKMNsVQImtqgxs0xcupte4zBoMsKlosAqdfnEb3/d2RO3VubGpohA/2+URkP79AhPtqItzrGgUXVWSjDT3XJUKaZGUMsn+JcPdlwn0jEe50MKDA9j/ejwFHBhiFcI8IDcXdsuXwlQJGsm/bipR58sju2dPAUNScegwfwsIxplEBdCiXTXZdUdC4CCT2vUbu94xxURfeLAWB0itL48OXD9jVdBcyO+q+8aprPM/olnrw/gNIN2QwXLP5fyPcOxDhHnmb3WzsAEndnJgClOkJ1CGdeR3WfdkF7KMAk99r5UXvqrm0lgoNC0WZVZEyY+fanUOq5KnUyqmk1pKSjG3es5SsXJjVI2CKfcbqQRMDlIWAINxlwSQKMQKWRoSMHDlSIvZjmiDcxXo2JgIP3z4Ev7jJ1nA3NuFuR4S7i+4XbBXh7mTrJOtFnG+ehIWFaYUoD5EV0Q+rjImjypcg3E2B6nef1569AScFfBwQimRJk6B/9dzoWSWX9P/1NVO8nFrrPqMvtqK85SNw6vkp9DjQA3lT58WGhhuUD0hFuLdZA+Sto9wfeXjUvj0+XLgIt5/7IS3lyjHY/qXIeN9rRiHcDz4+iF+O/IKibkWxvO5yg7ukqvj0p554f+SIQQlhF598iFHb/4NdimTYS9IymV3tFPdHONAfgcS+18j9ntEfWVHDGhAotaIUPoZ/xJ5me5DRIaPeQ3pQtx4+U7BN5gUL4BBxigj3sUBxb6ChmUmpsNTN8clxEu5LKX/RiG03UT5nGqyi20najA8o+KCC7Wzbs7CzUX+2R08km+f8OSQjiU1h1o2AKfYZ60ZMjE4uAoJwl4uUKAdLu+ovNyJEEHxicStBwJoId/4dv3aNSBMdVqxYMcqrZ2AEpEyQxe+jTKAUFAv+GIahW25g65UXkpdyOdJgZttiSOOgfqU2riZM8XJqrftMXFiKf7c+BE4+P4mfDvyEfK75sL7BeuUDnE/a6M8vAkYi3D89eACfepR8VUqWepCSpaYzvI8qwr0dRbjnVhbhfvAJEe6Hf0ERtyJYUXeF4X36VvPNps14OWQIbPPlQ44t+kn7RJA8Qat5p3H+URAq5EqDFV3LyJalUdxx4SAKgcS+18j9nhFLJnEiUHJFSXwK/4S9zfbCw0G/W6hfKcDmdrHiwJcvyHWYkmbfpWfuYXMn3H+iCHftt9t5Bdz3fy8lvk5BOTiujaiJlDaa3y0fv3xEqZWRSVXPtD0DexvNPB13y5VHOMnZZqd9IyXtH8KsGwFT7DPWjZgYnVwEBOEuFylRTkKAk9mxlMs/3xKIcNJU1nXu06ePzqSpoXSld/v27VEIli9fHoULF9Y7aerq1avRrBllTye7c+cO8tHmJ5KmioWZ0AjIJ9x9gI9vKcGpkSVljBjhzlIyLCmjzVKlSoUCBQqYHG5BuJscYqkBlpjZeOk5hm+9gSwUtclal9o+SmLrjaleTq1xn4mfWRWtmBMCx58dR6+DvfCD6w9Y12Cd8q7Nq0pXDS8R4b6WItxrK/bnN248Aknyz4Fy5GSepVA6YK4n8JLy8rSjSP7clNxVgR1+chj9DvdD4bSFsbIeJYhVaF+IMLlXkSLww8ORc99epKB3Vn3s4esQ1J52DO5OtljfozzSO6fUp7ooawQExF6jDqKp8DDCVAkXCYBA8eXFERYRhv3N9yO9fXq9eqA6eE1KOdryXLyAJMcmEuH+F0W4d6QI9xl6+TJ54YOkLX98ElC6B1B3gs7m+P223LhD8A/+iI09y6NYFk3pxM/hn1FiRQnJx+k2p+GQgrTrY9jD5i3w8cYNZKL90ZH2SWHWjYB4rlr3/Cbk6AThnpDoW2Dba9euBSdJnUvJVZh4nzZtGtatW4fbt28jHUVHeXt7Szrv48ZFJjNhvffKlStj/PjxqFevHtasWYO///4bly5dQsGCBaUyTPJxkkaWElCVyZs3L9KnTy/9sPWkq867du3CkiVLJEmLvqQ3p/IvF0aRNFUuUqYrx0k4N2/erJZ015DWsmXLJiXMjZ6M1xA/xqhjTYQ7/x6+evUqKlGqCh+eNzc3N+lwzdQmCHdTI6zu3+fVe3Ba3Jxumh8bcfXEVC+n1rjPxIWl+HfrQ+DYs2PofbA38qfJj7X1iSRXavOqEOF+GWhL5H2eWoq8RVCOm/uelRHOyVLn/gsHek9TZHOp/ssr1DeK5M9TU5GrI0+PoO+hviiUthBW1aMEsUawx5QHKPT0Gbj//hvSdO2qt8dTD16jSCYX2Nsm17uuqKAcAbHXqGNoKjyUz5TwkBAIFFteDF8ivhhEuL/btw/P+/2MlPRNnn0DPb+PEpHNhHuJTkCD6QkxWlw3FgAAIABJREFUHN1tstQNHwiU7k6EO/03FrvxnPY2CiZxTmWjtVRYeBiKr6DIfrKTbU7CKcX33G6qCs9+6Y/gPXuQbvAfcCXuQ5h1IyCeq9Y9vwk5OkG4JyT6Ftr2zJkzMXHiRPj6+qJo0aKYMWOGFPnOVqVKFTAZysS4ytavX4+hQ4eCk6Lmzp0bEyZMQN263xN+cVlOihrTRowYAdYtZGMS7tdffwVHufPVylq1aoGTr6oIeTlQWjPhznPx119/YefOnXj+/Dnc3d2luWFC2suMTuX1Jdx5bfAY3rx5ozbFTArb29vDjiIyEtpUhDsnKmKddJ0WaP4R7jdv3sSHDx+0DiFHjhxwdXU1OdyCcDc5xEZrwJQvp9a2zxgNdOHIYhA4+vQo+hzqg4JpCmJ1fUp0qtSMSGq/pVuHL34fiOQZMiDXgf2GJ0tVjcmIhwGqg4oCaQpgTX3SqzeCBdG7o++o0UhVpAiyrTWOTyN0S7iQiYDYa9SBMiUeMqdEFDMjBIouK4rwr+E42OIg3O3c9erZ63//xatp0+HcqCE8/kcyLUf4528i3Om7vME0vXyZvPAhOgg4RgcCpboB9SjSXYHxAQUfVLCdaH0CzrbOGt78iOsIXLgIqb07ID3JkgmzbgTEc9W65zchRycI94REX7QdrwhYK+HOBxkVKlSAi4sLRo8ejUKFCklJL/fu3Yt58+ZJtw/MxYxFuJvLeLgf5k64B34IxMuQl9JhAB8K6LJwum5/+TJFT+owloFKkSKFyaEXhLvJITZaA+LlVBNKgYnRlpfFOzJ6pLYRCffH7Tsg9MIFgxKJap0YExDuRrsZQB0O8/fH/cpVWEsLuY4chs2325MWv8gSyQDEc1V9ogUeiWThyxxmkWVFEPE1AodaHIKbnZvMWpHFng8ciHfbtsOtf3+k7UGR40fG0w/dUrdywj08IhxFlxeVMDje6jhcUrpo4Ba4ahX8Ro8xjuyaXrMiCicEAuK5mhCoJ442BeGeOOZZjJIQsFbCnW8LcKJL1rXnqO/oxpHhTMSzVAjL8Bw8eBBJkyZF7dq1JR1+lgFi45sEW7ZskW4RDBs2DEGkeVqnTh3Mnz8fjpSZnYl7LvPs2TOpvsoaNWqENGnSYNGiRdJfzZkzB5MmTcLTp0+RPXt26WZDhw4dospHJ9yPHDmCqlWrSm1xH9muXLkCTsz58OFD6UYE/3t0U916iCkpo3R8Sn5BfN764EPYB4nMNscI9yjCna5LZnbSTbjz78fdu3e1QmFjY4MiFBkYHyYI9/hA2ThtiJdTTRwFJsZZW9bg5dCTQ/j58M8o7EZa5HWVa5HDSDrpnyhPh0/deqDNPDJJnpJkqaqJMqK+/InnJ9DzQE/jad9/6+OjNm3xgQ6V09F7iWv7dtawxBLNGMRzVX2qBR6JZunLGmihpYWkcodbHkbaVGll1VEVetisOT7S7daM/8yAUw3Kv3GYyPajRLqX7ALUn6qXL5MXPkyR90cpAr/UjxThPllRc6zzXnhZYcnHsVbHkDqlps77+2PH8LR7D9iSzG2OrVsUtScqmz8C4rlq/nNkqT0UhLulzpzot94I6EO480b8VYe0ht4N61khCSWnZGJajrH+fdq0aSU5mcGDB2utwoltS5QoAQcHB0lz/wtlou/du7f0Zya92ZhMnzx5MmrWrIlRo0ZJJHjLli3RpUsXyTf/meV7WEdfJVHDbWeg6+iqv2Nt9latWkltVK9eHTt27MBAipzYv39/FHGuD+Hu4eEhEfjDhw+XDhPYuM/8E51wN8b45GCtq0yCEe7BL4FgXyCOpKkqwt0xhSOyOOnWYOccCvyjzVhKhiVl4sME4R4fKBunDfFyqomjwMQ4a8savBx8chC/HP4FRdyKYEXdFcqH9C8l/vS9RolJN1Ji0uoG+/ObQNfk6ZDcgQ60M8+ZbbAftYrzq1Go5EVK6EpyLXnrKPJ58vlJ/HTgJ+RzzYf1DUhT2EgWsGgx/EnS0I4kELMuXWIkr8JNfCAgnqvqKAs84mPVWUYb0YnjIy2PIE2qNLI7/pW+D++ULIWvoaHIsWsnbPk9P4pwp1wX9afI9hUvBY3cN9VBhS7cohLK0ndnnvPnZH+bxwsWohGjIyCeq0aHVDj8hoAg3MVSSDQI6EO4R9DLx53ikdnL49vyXroIzhYvx86dOyfp52/atAlNmjTRWoUJb45W56jxzJkjI5z/++8/FChQAFy/VKlSEuGu0uXniHY2JsuP0en+mTNnpD83btxYimZfuHCh9GeOemdynqPZOeqdZW3YJ/+9ypi0DwkJkbTl2fQh3FW5ALRpuEcn3I01Pjl4aytj9oT7R5KUef8ScRHuHN3OvyPajJOlcl6A+DBBuMcHysZpQ7ycauIoMDHO2rIGLwceH0D/I/1RzL0YltVZpnxI/1Ykwv060J4I91yGEe5fSW7uXtVqCH/9GplmzYSjsXK8zPciwv0C0Jq06vN9z9FjyKBPvTiFHvt7IE/qPNjYkMZqJPtMN/QeVKcITnpfyX3iOJLHQ04SI3U90bsRz1X1JSDwSPS/ElEAsJQMS8qw6YrU1oVWGAXZ3K9Gz+7kyZHv8iUkodusMGIUudFnSSV3Y6To+8JLC4PC63TeDIigwLs7xSITq+Y5ewbJnDV13o0+RuEwwRAQz9UEg97qGxaEu9VPsRigCgFrJNzPnj2LsmXLxkq4c1LbqVOnSoR7dEudOjWmT58Ob29viXDn5LacNFNlXIdlZ3zo+jkb/3u3bt3g5+cHW1tbVK5cGSVLlpQi49k4CprrdIyWyZ3984/KhykId2ONz9DfFP0Jdzr0sNfvyqfWvsmNcJdBuHOEDOu3820BbZY/f/54S1ArCHdDV2L81xMvp5qYC0zifx2aa4v7H+/HgCMDUNy9OJbWWaq8m0Yg3IMPHcazXr2QjA7Pc5OWuUSwGMOMSLiffnEa3fd3R+7UubGp4SZj9C7Kh0/Tpvj03y1kGDsGLs2bG9W3cGY6BMRzVR1bgYfp1pqleZajRa5rTO+Pn8BT+q5LkTMncu7cEVksKjGpctkWo2NpZMJdjvb93YqVpAPqbBs3IBUFlQmzXgTEc9V65zahRyYI94SeAdF+vCGgD+FuTZIycglp1nBnDXWVsTQM/7CWOhsToaz5vnjxYikqPmvWrLhASdeKF488/deXcOfoeSbtWZqGyX+28+fPo3Tp0tLhgNwId2ONz9CF6POGNNy/6KPhbmzCna6PuuiWigmUQbiH0o0OvvWgzfj2Auvqy5U5MhRHVT1BuCtFMP7qi5dTTawFJvG3/sy9pb2P9uK3o7+hRLoSWFJ7ifLuzqEIdz+OcCcSOhdFJRpgz/r2QzDdenPt1Anp/hhkgAcdVRZQxP2z8xThvooi3EkfXoGdfXkWP+77EblccmFzo80KPGlWfU0yda+mz4C9ZyVkiXYbz6iNCGdGR0A8V9UhFXgYfYlZrMOwiDAUXx75HXai9Qk428qPwg5cvgJ+JBvqWKM6MlGAlWSHxlKo/ETSSe9GOumTzAuXI6TffoR03I2U0LXYsmL48vULDrY4CHc77bd4H5JU6ser15BxxnQ4keyqMOtFQDxXrXduE3pkgnBP6BkQ7ccbAvoQ7vHWKSM0xHIx169f15k0lUlsXZIy/G8cpa5Kmhob4c5d7dy5syQ7wjI2TLzfunUragS6JGWYzGU9d7boEe5clyOnOaqe/8vGSVq7d+8eRbivogzxPXr0QHBwsBpSciVl9B2fIdNhDYS7v7+/lFhXmzk5OSFPnjyGQGNQHUG4GwRbglQSL6easAtMEmQpmmWjex7twe9Hf0fJdCWxuPZi5X2cU4EI9xtAByKhc5Jmup72hXKx3POsDJCsTPatW5EyrxGf6wtIquXZOaAVJYf9ob6ePVMvfu7lOXTd1xU5nXNiS2PjJqpTafKCIvvznDqJZN8k9BR1WFQ2OQLiuaoOscDD5EvOYhoICyfCfUUk4X6yzUk4pXCS3XffMWMRtHIl0vzYFe6//RZZT0W4l+4O1CXi3Zzs6ASSvPmLCPdOQIPpintWbDkR7hFfsL/5fqS3T6/V3/MBA/Bu1264DxqENJ2pXWFWi4B4rlrt1Cb4wAThnuBTIDoQXwhYK+HOci1MdnOE+ejRo1G4cGEpMSprm3PSUY5c5ih01mZXJU3tRVfKYyZNjSvCnefpwIEDqF+/vhR93r59ewwdOjRq+rg+a7azhAwnTd2+fbukA891qlSpIpWLTriH0Ud/TrrGyJI4nJiVNcR//fVX6eBAFeF+6tQpaWzso0iRIpKsCf9EJ9z5NoKxxmfIWlQR7pyQlHXSdVoASfN8egs4GyvCnRKmsqyMnfII9wcPHkiJcbVZxowZpeS48WWCcI8vpJW3I15ONTEUmChfV9biYffD3Rh4bCBKpy+NhbUic58ostnlAX+SfetAJHTOqnq7Cly2HH5//42UdC0+O12PN6otpMi/p2eJcKfksD80UOT6vO95dNnbBdmds2Nb422KfGmr/KBuPXym9yaPiRPh3EDZ4YDROyccakVAPFfVYRF4iF8UFQKfwj+h5IqS0h9PtzkNhxQOssF58mM3hJw4oS6xdXAMcJwi20v3IMKdCG5zsqN0AHCYIvCLdwQazlDcsxLLS+BzxOdYCXf/yVMQQMFgqdu1Q/ph3795FTcuHJgdAuK5anZTYjUdEoS71UylGEhcCFgr4c7jfvnypURacyQ5/383NzeUKFEC/fv3l8hujl7u27cvDh48KCU4rV27tqTPzhIxbHIj3FnjO1OmTFIbTNLm4Iz20YwJ/kmTJkmJVLNnzy4R8h06dIgqEZ1w5788efIkevbsiXv37kkyNf369UOLFi2iCHcuw//O+vEBAQEYMWKE1NfohDuXMdb44lpD2v7d3An3oI9BePH+RaxJU69evUpBj2Fah583b17psCa+TBDu8YW08nbEy6kmhgIT5evKWjzs8tmFQccHoUz6MlhQa4HyYSkk3H2akH453SxLR/uya/t2yvsT3YMRCfcLvhfQeW9nZHPKhu1Nthu3n+TNf+o0BMydSzIKNUhGQTlpY/QOCocaCIjnqjokAg/xS6JC4OOXjyi1spT0xzNtz8Dexl42OPcpiXQYJZPOumI57Oi2s2QHRxPhTrm5EgHhzgcVfGCxt9leeDh4aMUtaM1a+NJ3pwNJoGae+69sbEVBy0NAPFctb84spceCcLeUmRL9VIyANRPuisERDgxG4MGbB+AXXnONcI+LcP/8+TOuXbumc/ys354sWTKD8dG3oiDc9UUs4cqLl1NN7AUmCbceza3lHT47MPj4YJTNUBbza85X3r3Z5Ygtplwb3luBHFX08veRiPaHRLhzktTcx48hmYuLXvXjLLywFkW4nwFaLgfyN4yzeGwFLvldQsc9HZHVKSt2NPmWyE+RR/XKH0jG7lGz5kiSMqUkK5OUbs0JM28ExHNVfX4EHua9XuOzd6FhoSizqozU5Nm2Z2FnI+95FkHv/neKFAXolnDuE8eRPG3ayG4fGEVi8FOAMj8BdUgz3ZyMteVZ8qa4N0W4f9OcV9C/0itLSzm49jTbg4wOGbV6ek+BYU+7/ogUFGCWc9dOBa2JquaOgHiumvsMWW7/BOFuuXMneq4nAoJw1xMwUVwWApZCuPM1UyYwYhonrWVZIm3G8j0qfX1ZYBihkCDcjQBiPLkQL6eaQAtM4mnxWUAz2x9sx5ATQ1AuQznMqzlPeY9nlQVeUd4Ub5JZyUFa7HqYL0nJBJGkjCPdbss0baoeNWUWXVSbrpqdJsJ9GRHujWRW0l7ssv9leO/2RhbHLNjZ1PgEB8vQPahZC2F0Ey/jlMlwqltXUX9FZdMjIJ6r6hgLPEy/5iylheiE+7l255AqeSpZXf90/z586jdAUnt75LlwXpL8lCyKcO9JhPt4Wb7irdAxkro5RJI3xejmdKOZiptVEe67mu5CZkeS+9Rin2mfeFCjJpKkSIG8Vy4jCd0SF2adCIjnqnXOqzmMShDu5jALog/xgoAg3OMF5kTXiKUT7izH8+rVKwpy+ao2d/zy7e7ujsyZtb+EmmqiBeFuKmSN71e8nGpiKjAx/jqzVI/bHmzDnyf+RAWPCvi3hhGuos+iKMZXt4GOJLOS3VM2LF8pkvFe5SoIpzwdfCWer8Yb3RbVIcL9FNBiKVCgsSL3V/yvoMPuDsjkkAm7m+1W5EtXZZUur2ON6iQrozxS0iSdFE6jEBDPVfXFIPAQvxwqBN5/fo9yq+n2E9mF9hdgm8xWFjjBJDH6rHcfzZweB0ZShDsdypbtBdQeJ8tXvBViqRuWvCnWngj3WYqbLbuqLELCQrCrCRHuTtq/db5STrTbRYuBkqMh1+FDsInHnFaKBygc6IWAeK7qBZcorAcCgnDXAyxR1LIREIS7Zc+fufZePuH+gJKmvov3pKkqSRldEe436Xr9hw8ftMLLSW1Tp04dr9ALwj1e4VbUmHg51YRPYKJoSVlV5a33t2LoyaGokJEI9+oJR7i/27cPz/v9jOSU24UJgyTJkxsfZyMS7ldfXUX7Xe2lK/581d8UFiWxQ1GLuUlWJpmD/ESDpuiP8Bk7AuK5qo6PwEP8xqgQCP4cjPKrKaE22cX2F5EiWQpZ4AQsXAj/iZPgVK8eMk6myHGV7R9BCbamJQrCvdyqcngf9l6SLtN2A1gFyX2+EUXBSVmWLoV9mdKy8BWFLA8B8Vy1vDmzlB4Lwt1SZkr0UzECgnBXDKFwoAUBSybcw8PDcfnyZZ3zWqRIEdiQ5m98miDc4xNtZW2Jl1NN/AQmytaUNdXefG8zhp8ajkoZK2F29dnKhzaTPvRf36EId9I1z15Jtr+nPXvh/eHDSPNjV7j/9pvsenoVXEyyLI9PUoT7Eopwb6JX1ZiFr7+6jra72sLD3gN7m+9V5EtXZb7R5VOnLj4/egSPCf+Dc0NluvMm6aRwGoWAeK6qLwaBh/jlUCHw9tNbVFxTUfrjpQ6XYJNU3jv7y2HD8Gb9BqTt1Qtu/fp+B3T/cCLcpxPh3psi3P82L6CPk7b8QdKYL0oR7o2VR7jzQQUfWGxvvB3ZnLPpHOuTH7sh5MQJZBg7Bi7Nm5sXJqI3RkNAPFeNBqVwFAMBQbiLJZFoEIiLcM+WLRtSpZKnfZdoQBMDjRMBFeHO0REcRa7TAhImwv3Nxzd4/v651LeYERz8O3H37l2tXU5BkX+FCxeOc/zGLsDR9o+IBMmePTtSUlI7YeaLgHg51ZwbgYn5rtf47pmKcPfM5IlZXsrJAcwsRYQ7Pa87ka55tkiCJS778vq1JCcDOlzNsXMHbOnWkklscT0i3E8AzRcDBZsqauLG6xtos7MNMthnwL7m+xT5iq3yqxkz8Hr2HDhUqYLM/84xWTvCsXIExHNVHUOBh/I1ZS0eohPulztcRvKk8m4wPe7gjdDz5+ExcQKcGzT4DoeKcC/XB6j1l3nBxFI3LHlTtB0R7soPsSusroB3n99ha+OtyOGcQ+dYfUePRtCq1UjTvTvcB/Q3L0xEb4yGgHiuGg1K4SgGAoJwF0si0SCg60HKUb5MOrJedZo0aRINHmKgxkHAkgn358+fw9fXV6t+u6urq0R6x7cFBATA398fefLkQbJkyeK7edGeHgiIl1NNsAQmeiwgKy+68e5GjDw9ElUyVcE/XkbQCf+nJBBwjwj3XUS4V5CFXiBdgfcbNx4p6fA0+7q1suoYVGhJfeDRcSLcFxHh3swgF6pKNwNuovWO1khnlw4HWhxQ5Cu2yp/u3YNPA4psp1tceU4cRzJnZ5O1JRwrQ0A8V9XxE3goW0/WVJtlIz3XRub0uOp9FUmTyEvqea+SJ75Q/qZs69chVaFC3yHZNww4NQMwS8KdpG4OkORNkbZAE+WHpJXWVMKbT2+wtRER7i66CfeAxUvg/7//wbEOJR2faoKk49a0IC14LOK5asGTZ+ZdF4S7mU+Q6J7xEIjtQfry5Uu8efNGIt3t7Oy+Z2s3XvPCk5Ui8OTdE3wK/yRdf7dPYa97lEFPANIKhEMGwM4IuughrwD+SekCOHnobPcd6cb7hfrBzsZO0sSNbg8fPkRISIjWuh4eHmDSPb6Mr/iHhoZKZLuLiwsyiMRE8QW9we2Il1NN6AQmBi8nq6u44e4GjDo9ClUyE+FeLWEI94fNW+DjjRtIN3QoXNtTVKCpzIiE+38B/6HVjlZwt3PHwRYHTdVjya8PRXZ+uncfGf76Cy7NlEXmm7Sjidy5eK6qLwCBRyL/hYg2/MCPgai8NjIR9jXva7K+X8Pfh+BuSTrAJctz7iySOTl997hvKBHutF8lAsLdc40ngj4FYXPDzciVOpfORaUzwaxYhlaFgHiuWtV0mtVgBOFuVtMhOmNKBGJ7kDLZx5G+TLoLEwjog8Cr0FcIiwhDmlRpYJvMVndVJsfDKDmpHZHYsUnPyG38IyVgJbkYyRf71GGhYaFSBAf3jfuoMl7zT58+/T97VwEWZdaFX8AAsQOwUERkTewWuwMRxe6utV11ddW1c621u7uwu1sxfgsFsVtBREXqP9/gsI7DMPF9M0yc8z8+/iv3nnvOe++cb3i/c89Rym6X/1wg3A1dv11YWyDbnZycNPqlQVOoeJx+EOAvp8q4Mib6OWumqHXz/c0Yd2EcquWshtnVqCauWJlbgjLcHwId9wO54prkJSYRQY8QVI9qq9NNIbfTp5BMny9Q5YS7zzKgsLgat/c+3EMzv2bIYpcFx3yPqXNT1M/fzp+Pd3Pmwr5iRTgvXSJKF0/WHwIcVxWxZTz0d9ZMTfO7r+9QdXNVmdm32t/SyPyvt28j2KcpbOiZkI+aRivIwT+B8/OA8lTXvdZ4jfQZbJBQW14oeePRkjLcxTciF15UCC8stjfaDrcMbird+Ea34B818oJ1mjSyFxRWVlYGc5kXMhwCHFcNh7WlrcSEu6XtuAX7q0kgFcrLREZGWjBK7Lq2CPQ91hePQx9jbIWxKOZQTPV0v/5xNW6r0nXNgl7aLqM8/grVyr1AdYHz05X46vQFVIUcf3Ic/1z9B0WzFMXfFf+OH3WbvnD7+CR89d/e3h6XqbajtbVmV1PFOxOnQSD4uYyMVGjqX48mMVX/VhjXCoyJce1HUlojJ9yrO1fHrKp0FV6szCkOfKBeIB0PEOFeTq02eY1y+8qecF60SO14UQNWUQ3gR6cACQj3+x/uo6lfU2S2y4zjvsdFmaVucgTd8hKap8peSlBZmWQZJLh9pm5R/rnWCHBcVYSM8dD6CJntBDnhbgUr3Gx/UyM/P+3bh+cDB8GueHHkXr9OcU484f47Ee7jNNJnsEFnqdTNYfodqkgLoIn4Z1qVTVXw/tt7bG24Fe4Z3VW6EUO9pe4Xo+cvidv5c/ycMNiGG3YhjquGxduSVmPC3ZJ228J95UBq4QdAT+577/LGw5CHWFxzMcplS4QEWdcMeEAN4LyIJC/WRrw1p2cAR4lAF3QJOlWIX6AfRpwZgbJZy2JJrf8y+OZQw7gBAwYgJiZGYaZAsteuXRv76As5CyOQGAIcU5XRYUz4MyNHYOO9jZhwcQJq5qqJmVVmigdmDr3Q/RAEdDoIOJdNVJ9wgymwVm1E0i2mbNOmUVM8qrGuT1lFL34fnSQSZCmRIfSsEyEBHwPgs9sHGW0z4mRz0qlnCfJugoi7d+E0diwyNPfV82qsXhcEOK4qosZ46HKKzHPOmy9vUH1LddhY2eB6u+saOSm/2ZOuSRNkm/hLY1Q54V6hH1DzvyQdjRTre5BQ6kYoeVOkOT1rFoterdrmanj79a1awl1YKL7mPfVCsaOeKCzmhwDHVfPbU2PxiAl3Y9kJtkPvCHAg1TvEFrmAnHAXyGyB1FYpkhPuROAcHauWcN8TtAfDTw9HmaxlsLQWkSE/xNfXF9u3b4dwq+NnETLMx48fj2HDhlnkfrLTmiPAMVUZK8ZE8/Nj7iM33NuAiRcnJgnh/sXfH49btoIV9aQRGoJa0996FQkJ9wcfH6DJ7iYGI9zfLV6CtzNnIlW5ssi1gm6OsRgdAhxXFbeE8TC6I5pkBr0Of40aW2sgmVUy+Lfz18iO50OH4tNuP2ShpJvM3bspzjkwIu72rAUQ7tU3V8ebr2+wucFm5M+UP1Hsgtu0wdcrV5Ft+nSka1BfI5x5kGkhwHHVtPbLlKxlwt2UdottFYUAB1JR8PFkFQjICXeBzBZIbZUST7jPJ5JcguZ1p38Q7kUpw72x6gz3vUF7Mez0MJRxIsK9dhzhLmQ/Ojo64u1bqiufgJw6dQqVKlXiPWcEEkWAY6oyPIwJf2jkCKy7uw6TL01G7dy1Mb3ydPHAzC4KfHxEGe50U8o5kWcNrfTq73H4uH490jZqiOxTp4pfW52G1VQmLegEZR3SLaoi4rLEA0MC0XhXY6RPmR6nW5xWt7Lon3+nWwCBNWuBaqjB7dRJJMucWbROViAtAhxXFfFkPKQ9X6as7VX4K9TcWhPJrZPjWttrGrnyyLc5vt28ieyzZyNtbYp9P8uB4US40+8pFagMZk1K6jEmOUe15Q9RjfnC9IzxEd9zo8aWGnj95TU2NdiEApkKJOrpi+EjELpjB7L0+x2Ze/Y0JlTYFokQ4LgqEZCsRgkBJtz5UFgMAhxILWarDepo452NERgaiGW1lqF01tKq115LjeQeHqbyL4Yl3PcF7cMfp/9QINyDg4Ph4uKSoK3JkiWD8Fmxs7MzKI68mOkhwDFVec8YE9M7x/qyWE6418ldB9MqTxO/zGwPItyDgc70HMmp+lkTS31oHnhWRvTHj8i5ZAlSV6oofm11GlY3JsKd6q170zV/D7ruL0KCQoLgtcsL6VKmw5kW1PfEAPKomS++3boFx79GIWOrVgZYkZfQBgGOq4poMR7anB7zHvvy80vU2lYLKaxT4Grbq2qdFRJuAsqURQx9z3fZtQu27vneBkOwAAAgAElEQVQU58gJ94oDgBpj1Ooz6IDzlFx0kDLwC1PZMp//buzqaoPwokJ4YbGx/kYUzFwwUTXvFizA29lzkM7bG9kmTdR1SZ5nxAhwXDXizTFx05hwN/ENZPM1R4ADqeZY8UjNEfDa6YWg0CAsr70cpZxKqZ4oNeF+5h/gCH0ZLkrZ8o2JxFch+x/tx9BTQ1HaqTSW1V4mG7Vu3Tq0oeuRCUnJkiVlDVNZGAF1CHBMVUaIMVF3aizn52vurMHUy1NR16UupnpKkGU+i+rGhjwmwv0IEe6qnzVhJ07gWY+esMmUCW4nT8CKXqLqXdZ4A4HHiHCnRnYe1NBOhDwKfYRGOxshTYo0ONfynAhNmk99v3wF3tBNALsSJZB73VrNJ/JIgyDAcVURZsbDIMfOJBZ5/vk56myrA1sbW1xuo/67exS9iH1QrrzMN/fr/rC2tVX0cz+Vk7y4AKg4kAj30caFwXn6XecgZeAXogSmpnG/z4iR2ltr40X4C2yovwGFMhdKVFXonr14MXgw7ErSM2ItPyPE4G6sczmuGuvOmL5dTLib/h6yBxoiwIFUQ6B4mFYIaE24N6YvskUlyKDTknAXXgYILwUE6dWrF5ZQ5mNUVJSCr0J2e//+/TGNmuyxMALqEOCYqowQY6Lu1FjOz1ffXo1pV6ahnks9TPGcIt5xDQn35wMH4RM1vc7Qri2cRlA2oCFEQsI9ODQYDXc2RJrkRLi3MgzhHvn6NR5WqSrUW0Peo0eQPHt2Q6DGa2iIAMdVRaAYDw0PjgUMexb2DHW314VdMjtcan1Jrcfy/h7JnJzgdoJuJf0q+/8gwn2hRRDuwosK4YXFunrrUCRL4o1Qv1IJnmAqxZPMwUFWeozF/BDguGp+e2osHjHhbiw7wXboHQEOpHqH2CIXEDLxhIw89RnuPlRShjITJSPcZ1GGO2WfqMlwP/DoAIacGoKSjiWxok5cQ7j8+fPj3r17Ce7XDqpR2LgxlQdgYQTUIMAxVRkgxoQ/NnIEVt1ehelXpqNBngaYVGmSeGBmFaYM9ydAl6NAjpIJ6ov+HI4HFSsi9ts35N6yGXaFaY4hZE0TynAnuxoTUVO0pagVn3x6gvo76sM+uT0utLogSpc2kx936IgvFy4k3EhQG0U8VnIEOK4qQsp4SH7ETFbh009PUW9HPaRKlgoXW19U60eonx9eDBmKVKVKIdea1crj9w0FLtFNpUqDgOp/qdVn0AEXKGHpAGXgF6Lfp5rGJRCJkbrb6uLZ52dYW28tPLJQybZEROFmgP81WHPZTTHQG+VcjqtGuS1mYRQT7maxjeyEJghwINUEJR6jLQINdzRE8KdgrKi9AiWdEiZBZDrX6olw96BseW/6EqpCDgQT4X5yCEo4lsDKOisREhKCjBkzyhqnJiSvKdPPgTI4WBgBdQhwTFVGiDFRd2os5+cr/7cSM67OQMM8DTGxkgQ1X/8h8jxUINypdEuOEgkCGbJzJ14OG44UuXIhz4H9sLKyMgzgEj7ftCWQpHIwZNt2vPzzT6RwdUWePX6Gw04qB8xYD8dVxc1lPMz4sGvpmrYvKN/++y/ezZ2HdD5NkG3CBOXV4gn3wUS4j9LSGj0Pv0AvdA9QBn5BesHbLC6BSIzU214PT8OeYk3dNSjqQE3JExFZ7fvSZRATFgaX3VT7Pt8vte/FGMJzjQIBjqtGsQ1maQQT7ma5rexUQghwIOVzoQ8E5IS7QGYLpLZKkTADULbGmR8Z7moI94PBBzH45OB4wv3AgQOoW7dugmYKjVSDgoL0ARPrNEMEOKYqbypjYoYHXUeXlv9vOf65+g8auTbChIoJEBva6v2HasyGPgW6EuGePeFnzZPOXRB+9iwy9+2DLL17a7uC7uMl7FGibYkE3Y1WnBlNRMqDipUQGxEBl+3bYFuggFSqWY9IBDiuKgLIeIg8UGY0XdsSXC/+GIZQapaahcpHZu7RXRmJfUMow52aX3vS39VGGhdSFynzfj9l4BekniHNVoq2rcGOBnj86TFW112NYg7F1Op71MQH3+7cQY5/5yFN9epqx/MA00KA46pp7ZcpWcuEuyntFtsqCgEOpKLg48kqEJB/YVtVZxWKOxZXjZPUhPvZ2cBhuu7pQdf3vSnrQ4UcCj6EQScHobhDcayquwqjRo3C5MmTE6zfLjRSXbFCfNYIHxbLQIBjqvI+MyaWcfY18XLZrWWYdW0WvFy9ML7ieE2mJD5mZkHg0zOVhHvUu3d44FkZiImB68EDsix3g0k84f4vUCzhhtya2qJtE0BN9Woy7tmAAQjbfwAZO3SA4zDKpGQxCgQ4ripuA+NhFMfSKIzQtsl0cKvW+HrtGrLPnIG09eop+7CXMtsvLzFuwr0Alb30XSUaf40Tpn6sJH8+OPzxBzJ17CB6fVZgXAhwXDWu/TAna5hwN6fdZF8SRYADKR8QfSCgNeHuTRkaHi3Em6Ij4e7p6YnTp08nuP7SpUvRuXNn8baxBotAgGOq8jYzJhZx9DVycumtpZh9bTa883rj7wp/azQn0UHxhDs1usuu/HL3w/r1eP33ONhS3XYXqt9uUFnXDHhwCPAST7i//PwStbbVQgrrFLja9qpB3Qg7dgzPevWGTZbM1FDwBKxsbAy6Pi+WMAIcVxVxYTz4kyJHICgkCF67vJAuZTqcaXFGLTAPKnki6u1b6vGxhXp80K2pX2Uv1W6/vJQId8okr/anWn0GHXCRMu/3U+a9RIS7vAeX2pKgP5x8M/MfvF+8GOlbtkDW0dRDi8WsEOC4albbaVTOMOFuVNvBxugTAQ6k+kTXcnXX314fT8KeqL+SuIauQAZSKQDJCPc5lOFO9RXVZLgffnwYA08MlF2XXFZjGdKkSYMIujKfkNy9exe//fab5W4me64VAhxTleFiTLQ6QmY9ePHNxZjrPxdN3JpgbPmx4n2dSSVOPj0Hup0Asilff3/cth2+XL4MhyFDkKlzJ/HraaNhnS8R7geBRvOA4m21mak09lX4K9TcWhPJrJPBv62/KF3aTo79/h0CIRUdGoqcy5YidYUK2qrg8XpAgOOqIqiMhx4OmYmqfPjxIbx3eyN9yvQ43SLhZBq5azFfv+J+sbiXtfkunIdN+vTKXu8ZCFxZBlSmGz5VRxgXKpco834fZeAX8KIM9wQavmpprddOLwSFBmF57eUo5VRK7eyQ7TvwcsQI2JcvB+fl4pu2ql2QBxgUAY6rBoXbohZjwt2ittuyneVAatn7ry/vNW66oy/CvQhlyzehrHkVcuTxEQw4MUBGuPfN3BelS5dOcGS6dOnw8eNHbhSnr4Nihno5pipvKmNihgddR5cW3ViEedfnwcfNB2PKj9FRy0/TZuQHwl4Q4X6SCHfFBm+Rr9/gYZUqoG7YyHv0CJJnzy5+PW00rG8OBBwgwn0uEe7ttJmpNPZ1+GvU2FoDyayIcG9nWMJdMObl2LEI2bAR6by8kG3KZFG+8GRpEOC4qogj4yHNuTIHLQ8+PkCT3U2Q0TYjTjanZ0Mi8i0gAI8aecE6bVq4X7qY8Mh4wn0YEe7DjQsiOeGevxHQfI1o27x3eeNhyEMsrbUUZbKWUavvyzV/PG7VCsmyZYUb3YZiMS8EOK6a134akzdMuBvTbrAtekWAA6le4bVY5XW31cWzz8/Ud7lfTTUHg6gUgDddifQgckKsnP2R4Z4A4R5LpEtwcDBy5syJk89Pov+J/iiapShKBJTAoEGDqMRvjMLq1tbWqEe1HP38/MRaxfMtCAGOqcqbzZhY0AdAjasLbizA/Ovz0TRfU4wuJ8H18xl0+yjsZYKE+4c1a/F6wgTYeXgg96aNht8EOeHekJ5LJdqLWv/NlzeovqU6rK2scaPdDVG6dJksJ1WsU6WC25nTEP5mSVoEOK4q4s94JO15NKbV73+4j6Z+TTUi3MOOHsWz3n1gW7AgXLZtTdiNPQMow52ytysbM+HekAj3taK3QU64L6m1BGWzllWrL4qSkh6UKy8b537dH9a2tmrn8ADTQYDjqunslalZyoS7qe0Y26szAhxIdYaOJyaCQJIR7ucok/DQSCABwv0YZV5Ur14ddnZ2cC/qjucOz1G4VGHYnbfD/v37EyTcJ02ahKFDqWYjCyOgIQIcU5WBYkw0PDwWMGzBdSLcb8yHbz5fjCpH5b/Eipxw734KyOqhoE3eCM9x+DBkbC+O8NbJzPV00ypgPyAB4f7u6ztU3VwVVvS/m+1v6mSOmEnCC+vAmrUQ+ewZsk2fjnQN6otRx3MlQIDjqiKIjIcEh8pMVMgJ98x2mXHcl5J6EpH3K1bizZQpSFO3DnL880/CI/36A1dXAFUou70Kke7GJEJteaHGfH5pCHef3T4I+BiARTUXoXy2OCI9MRGeDQFlyyGGSo657NoJW3d3dVP45yaEAMdVE9osEzOVCXcT2zA2V3cEOJDqjh3PVI1AnW118Pzzc6yttxYeWRRJEIVZ8gz3JlSDsAjVuxUr8YQ7Zcs3oaz5n0TIbndxcYn7F6sffxST2pVWP3PmDCpwvVqxu2JR8zmmKm83Y2JRH4FEnf33+r9YeGMhmrs3x8iy9HJUrEynX+4/vwK6U53erEXitUW+fImHVavJ/jvvyRNI7ugodiXt529oCdzfR4T7bMpw76D9/J9myAl34Z9utb8lSpeuk9/OmYN38xfAvrInnBepLtmmq36epx0CHFcV8WI8tDs/5jz67vu78N3jiyx2WXDMN/EyJ6+oqfZHaq6dqWtXOAyiWu0JiV8/ItxXEtlO9durUB13Y5LLVFt+L9n9WwOgxTrRljXd3RT3P97HohpEuGdXT7gLCz5q3hzfbtxE9lmzkLZObdE2sALjQYDjqvHshblZwoS7ue0o+6MSAQ6kfDj0gYCccF9Xbx2KZPmPBFFaazU1+Qk6QeS4/gl3IQsja9aseP36tcYuz5w5E9WqVUOhQoVgY2Oj8TweaLkIcExV3nvGxHI/D796Ps9/HhbdXIQW7i3wZ9k/xQMzPR8R7hTTe5wBnArH63u/krIWJ0+BXYkSyL1O/DV7nQzd0IoI971Ag1lAyY46qZBP+vDtAypvqiz7z5vtbiZJX5GIoEcIojJr9DCE26mTSJYpkyifeLI4BDiuKuLHeIg7T+Y0+877O2i+pzkcUjngaLOjibr2pGs3hJ8+DadxfyNDs2YJj5UT7lXpmVXZyG69CqVuhJI3EhHuvn6+uPvhLhbUWICK2StqdCxe/PEHQnftRpb+/ZG5R3eN5vAg00CA46pp7JMpWsmEuynuGtusEwIcSHWCjSepQaD21tp4Ef4C6+utR+Es/5EgStMkJ9znUUkZ+kJcmLLlfYjE/0VaUWOfzZs3Izo6Wu0eCgS7UNddIOrt7e1Rrlw51KhRAwMGDECKFCnUzucBlokAx1TlfWdMLPOzkJDXc67NwZJbS9Dqt1YYXkaC5nPT3IDwN0qEuzzjznHkSGRs0zppNiCecKcyBSU7ibIh5FsIKm2qJNNxve112FgnzQvgR02b4dv//gfHP/9ExrZtRPnEk8UhwHFVET/GQ9x5MqfZt9/dRou9LeBk74TDTQ8n6lpg7Tr4/vgxnOklrX1ZFU1Cd/8OXFtFDVONmHB3pzJfLdeL3kbhRYXwwmJ+9fmolCPumaNO3i1ciLezZiNd48bINnmSuuH8cxNCgOOqCW2WiZnKhLuJbRibqzsCHEh1x45nqkag1tZaeBn+Ehvqb0ChzIVUD1zViO4inqQMd6pBWERFZok2QJ9LnHBfSF8Ke/XqJSPRdRGhkeqDBw+QJ08eXabzHAtAgGOq8iYzJhZw8DV0UU64t87fGsNKS1ALN55wP0sZ7nHPmu/PniOQXo5SGnhcJnaWLBpaJ/GwjUT039tDGe7iCffQiFBU3BiXbejf1h/JrJNJbKxm6j6sXoPXEyfCtkABuGzfptkkHqUXBDiuKsLKeOjlmJmk0v+9+x9a7m2JrPZZcajpIZU+xFLyzb2ixYDISOQ9dhTJs2VLeOzuvkS4rybCncqgVR5iXJhcodrye6jGvESEe4s9LXD7/W38W/1feObw1MjXTwcO4Hn/AbArWhS5N27QaA4PMg0EOK6axj6ZopVMuJvirrHNOiHAgVQn2HiSGgSSjHA//y9wkGosqshwv3PnDgoWLKjz/s2YMQMDB6qo8aizVp5oTghwTFXeTcbEnE64OF9mXZ2FZf9bhjb52+CP0hLUwp2WlzLc3wI9zwGOcbH9/bJleDNtOlKVLo1cqykrMalETrjXnwmU6izKik/fP6HChgoyHdfaXENym+Si9Ok6OerjRzzwpNI2RFBxgzxdUZRmHsdVRRwZD2nOlTloufn2Jlrva43sqbPjgM8BlS5FPn+Oh9Xp5Wzy5Pjtuj+sVJWO3NWH3nSuAaoR4e5pZIS7UFteKHnjTuW+Woonu1vtbYVb725hXrV5qJwzroyZOvl27x4eNfaGTfr0yHfhvLrh/HMTQoDjqgltlomZyoS7iW0Ym6s7AhxIdceOZ6pGoObWmngV/gob629EwcyJENzyDHcfavpTuKl4SOMJd8qW96Gs+V9EyGzPkCEDQkNDtVpLyGxv164dli9fniS1c7UylgcnKQIcU5XhZ0yS9Ega1eL/XP0Hy/+3HG0LtMXQUhLUwp3qCnx5R4Q7/ZLvWEDm6yOfpvh2+zacxoxGhhYtks7/TVRy5a4fUH8GEe5dRNkR9j0M5TfENbC72uYqUtgkXVmzZ7/3Q9ihQ8jYvh0ch0tQFkgUMpY7meOq4t4zHpb7WfjV8xtvb6DNvjZqCffwCxfwpENHpMidG64H9qsGMJ5wH0WE+2DjAvoqvVT2o5I3+eoCrTaKtq313ta4+e4m5lSdg6rOVTXSF/PlC+4XLyEb63b+HJLR71ks5oEAx1Xz2Edj9IIJd2PcFbZJLwhwINULrBavtMaWGnj95TU2NiDCPVNihHtDYkdOETluGMJd2BgvLy/s2bNHVp9dExFquZcqVQonTpxAypQpNZnCYywYAY6pypvPmFjwB+IX12demYkVt1egfYH2GFxKAuJiKpX3+vI+nnD//uQJAmvVBuglqdvpU0nb2FNOuNebDpTuKuoQhEeGo+z6sjIdl1tfhm0yW1H6xEwOo2fhsx49YUOkitvJE7DiniZi4NR5LsdVRegYD52PktlNvP7mOtrub4ucaXJiX5N9Kv37SD2dXv01GvaeleC8eLFqHHb1pgx3ar5dzZgJ9zpEuG8SvZfCiwrhhcXsqrNRzbmaxvoeVKmKqFevkGvDeqQqRmV6WMwCAY6rZrGNRukEE+5GuS1slD4Q4ECqD1RZZ/Ut1fHmyxtsarAJBTLFZR0mKKukJtznU0kZyrgrRNnyTYnET0BmzpyJwUMGIzZGfR13gWx3dHSEv78/HBwceGMZAbUIcExVhogxUXtsLGbAjCszsPL2SnQo2AGDSg4S77eccO91AXDIj3eLFuPtP//Avnw5ONONpCSVTW0pw303IAHh/iXyC8qsj2vod6n1Jdgls0sy12KjovCwajVEvX2L7HNmI22tWklmiyUvzHFVcfcZD0v+NCj67v/GH+32t4NzGmfsbbJXJTBvqEzk+yVLkaF1aziNonIxqmQnEe7XiXCv/hdQSYLnlpRbJdSWF2rM55OGcG+7ry2uv72OWVVmoXqu6hpb+phuCnyhGwNZJ01Ceu/GGs/jgcaNAMdV494fU7aOCXdT3j22XSsEOJBqBRcP1hABjQn3lQ2A4NMSZrirJ9yvXLkiy1hXJ1bUcE/IaL9AXyA9PDzUDeefMwIyBDimKh8ExoQ/HHIEpl2ehtV3VqNjoY4YWEKCfhhTXICvH4BeF4lw/w1B3k0QcfcunP4eiwy+vkkL/OZ2wJ1dkhDuX6O+ovS60jJ/Lra6iFTJUyWpb2+mT8f7pcuQukoV5Fy4IEltsdTFOa4q7jzjYamfBGW/r76+ig4HOiB32tzw86ayXirkGTX6DKOGnw7D/kCmDh1UA7izFxHu64hwH02EuwTPLSm36hrVlt9NNebd6GZX682iNbff3x7X3lzDP1X+QY1cVN9eQ3k5ZgxCNm5Cpu7d4TCAmriymAUCHFfNYhuN0gkm3I1yW9gofSDAgVQfqLLO6pspw/3rG2xusBn5M+VXDYjUhPsF+sX/wLBEM9yjKDsvdZrUiPgWoXajtm/fDm9vb7XjeAAjIEeAY6ryWWBM+PMhR2Dq5alYc2cNOhXqhAElBogHZkpuItw/Ar0v4XuEPQJr1IwrJ3P2TNLXkd3cngj3nUDdaUCZbqJ8/Rb1DaXWxb0ovtDqAuyT24vSJ3ZyRFAQgurVB+gWmNuJ40iWJYtYlTxfSwQ4rioCxnhoeYDMePiVV1fQ8WBHtYT7oyY++HbnDnLM/xdpqiVSPkVOuNcYA1SU4LklJfZCqRuh5I0b3TRqvUW0ZjnhPqPyDNTKrfntpQ+rVuH1pMlIU7s2csyeJdoOVmAcCHBcNY59MEcrmHA3x11lnxJEgAMpHwx9IFBtczW8/foWWxpuwW8Zf1O9hJxwb0pX/wv5iDclnnAnXYJOFVKyUklcPXM10fXGjRuHkSMTuWIq3lrWYIYIcExV3lTGxAwPuo4uTbk0BWvvrkWXwl3Qr3g/HbX8NG1yLuBbCBHul/F+zzm8mTIFqcqUQa5VK8XrFqthSwfg9g4i3KcS4d5dlLbv0d9RYm1cU7pzLc8hTYo0ovRJMTm4eQt8vXEDDlSiLVPnzlKoZB1aIMBxVREsxkOLw2PmQy+/uoxOBzshT7o82NWYbhklILGxsQgoXQYxYWHI47cbKd3cVKOyoydwYz1QYywR7kaWve1Pmfe7KAM/L71sbrNV9M52PNARV15fwfTK01E7N2XNayifT57E0+49kNLdHXl20YtmFrNAgOOqWWyjUTrBhLtRbgsbpQ8EOJDqA1XWWXVzVbz7+g5bG26Fe0Z31YAkEeHedWhXLJ2xFEigb6o1ZUc2bdoUGzduhFBWhoUR0AYBjqnKaDEm2pwg8x47+dJkrLu7Dl0Ld8XvxX8X7+xPhHtwv7H4eu0aHOlFacY2rcXrFqtBQsI9MjoSxdcWl1l0tuVZpE2RVqx1oud/3EQNB0ePRgpXV+TZ48fPS9GIaqeA46oiXoyHdufHnEdfenkJnQ91hms6V+xsnDD5Gx0aioAycY2o3f2vwdoukb4YO3oQ4b7BIgh34UWF8MJimuc01HGhuvAayvfHjxFYuw6sbG3hfu0qrOh3KRbTR4DjqunvobF6wIS7se4M2yU5AhxIJYeUFRICVTZVwftv75OAcF9IJWX+AAo2AZqtULkX87fNR++mdAXzF0mWLBkKFSqEc+fOwS6xL9+8y4yACgQ4pioDw5jwx0WOwMSLE7Hh3gZ0K9INfYtRozexMtmZMtxDEdniEB56dwQoazEvlThJ7uQkVrP4+VvIntvbgTpTgLJE2IiQqJgoFFtTTKbhTIszSJcynQht0kyNpszQB5U8EfvtG3Jv2gg77nUiDbAaauG4qggU46HhwbGAYRdeXkDXQ12RN31e7PCiW0YJiFBKRigpY5M5M/KdoV5Sicl2uqF0cyNQ82+gggQ3s6Tcg+uUeb+TMvDzUr31NttEa+5ysAsuvrqIqZ5TUdelrsb6hGba94rSM4r+znv8GJJnzarxXB5ovAhwXDXevTF1y5hwN/UdZPs1RoADqcZQ8UAtENCYcF9BNWAfn6HyL0SOFyKSXKxc0IxwPx54HNXcqV5j9H8L2lAt2owZM8Lf3x/Zs2cXawnPt1AEOKYqbzxjYqEfhgTcnnBhAjbe34juRbqjTzFq9CZWJhHhHhGKjznG49X0+bD1KAKXTZvEapVm/tZOwP+IAKkzmQh3IkRESHRMNIquKSrTcLr5aaS3TS9Cm3RTnw8Zik9+fkjfvDmyjh0jnWLWpBYBjquKEDEeao+MxQw4/+I8uh3uBrcMbtjeiF56JiCfDh/G876/a/bMiCfcxxHhLsHNLCl34jpl3u+kF7qu1YG2CfuqzXJdDhHh/vIiJleajPp56Hc0LSSwbj18f/QIziuWw75cOS1m8lBjRYDjqrHujOnbxYS76e8he6AhAhxINQSKh2mFQOVNlfHh2wdsa7QN+TLkUz1XasL94iJg/1C1Ge7nXpxDDc8a+Br4Nd62FClS4PTp0yhdurRWvvJgRuBnBDimKp8HxoQ/I3IExl8Yj033N6GnR0/0Kkp1Z8XKpJxEuH/Ck8D6CL/sD4fBg5CpSxexWqWZv5Xqmv+PaurWngSUE+erUG+4yOoiMrtONj+JjLYZpbFRpJbw8+fxpGMnWKdJA7fTp2BN5QRYDIMAx1VFnBkPw5w7U1jl3PNz6H6kO9wzuGNro4Trmr9fuRJvJk9B2np1kX3mzMTd2k5Nr2/Si9xa44HyEtzMkhLEG5R5v4My8F0piahtwtn82izX7VA3nH95HpMqTUKDPA20mYqnPXvh8/HjcPxrFDK2aqXVXB5snAhwXDXOfTEHq5hwN4ddZB80QoADqUYw8SAtEZAT7kJmiZBholLkhHuzlUSSe2u5SgLD4wl30iXoVCFC9otXdy+82/8OsdGxslHr169Hy5YtxdvAGiwaAY6pytvPmFj0R0LB+XHnx2FzwGb08uiFnkXFZX3LFBPhHv0pDAG7c9CNpWi4HtiPFLlzGwfgEhLugkOFVxWW+XXC9wQy2WUyCh9jY2IQWKMmIl+8QLapU5CuUSOjsMsSjOC4qrjLjIclnHrNfDz7/Cx6HOmB3zL+hi0NtyQ46dWEifi4Zg0yde0Ch0GDEle8rStwa7NFEO7dD3eHkJQ0seJENHRtqBngP0a9njYNH5YtR4bWreE0aqRWc3mwcSLAcdU498UcrGLC3Rx2kX3QCAEOpBrBxIO0RMBzoyc+RnzEjkY7kDdDXtWzV9SjkjJn48hxAxLuQn3HFtNb4PHMxzLbRhX0T28AACAASURBVIwYgQkTJmjpJQ9nBJQR4JjKmPDnQjUCY8+PxdaArehdtDd6eIiray5bZWIOhNyPwsuLGZAyXz7k2b3LeODfRpn2t4jsqT2RMtyVe4Zoa2iRVUUQS/877nscme0yaztdb+Pfzp+Pd3Pmwq5kCeReu1Zv67BiRQT4WcN48GciYQROPzuNXkd7IX/G/NjckIjyBESeje00ZjQytGiROJTyWF6Lfk8oL0EpNCk37gZl3u+gDPw8VYF2CTeI1WY54UWF8MJiQsUJaOSq3QvUkO078JJ+n0pVrixyrVDdR0sbe3hs0iLAz5mkxd+cV2fC3Zx3l31TQIADKR8IfSAgJ9x3eu2Ea3pX1UtITrgvppIyQ+LI+0Qy3IX6hB13dcT9vvfRoF4D7NixA9bW1vqAgnVaGAIcU5U3nDGxsA9BIu6OOTcG2x5sQ5+ifdDdg67Bi5WJ2fH0aHJ8fm6HzL17I0tfIyJD4rMipSFpPFZ7ICY2BseaHUOWVFnEIifZ/MjXr/GwGtUPphsGefbuQUrXRJ75kq3KijiuKp4BxoM/E3IETj07hd5He6NApgLY1CDhnh5BjbwQERCAnEsWI3WlSpoR7hK9PJV0p27SC4XtlIGfpwoR7uJfOPc80hNnnp/BuArj0DhvY61M/XrjBoKbt0CyLFlkJcZYTB8Bjqumv4fG6gET7sa6M2yX5AhwIJUcUlZICFTaWAkhESFQS7gvrws8OUfk+CoiybX7Ypcg0Bd/EO4FSJcv6VQhAuEuNAZy+uqEvZ32QqjfzsIISIEAx1RlFBkTKU6WeegYfW40tj/Yjt+L/Y6uRYgkECkxY7IhYEtaKg1mBZddO2Hr7i5So4TTJa77W2x1MUTFRuFI0yNwtHeU0FDxqp727oPPR48iY/t2cBw+XLxC1qAWAY6rihAxHmqPjMUMOPn0JPoc64NCmQphQwNqKvqLCD0xAkqWQkx4OPLs24uUefIkjo3E5cEk3YibdItqO92mcqkMtN8tWrXwokJ4YfF3+b/h7aZdqc/oMCrvViquD1a+y5dgQ709WEwbAY6rpr1/xmw9E+7GvDtsm6QIcCCVFE5W9gOBihsrIjQiFLu8diFP+kS+yCYR4X7p5SV0PtQZedLlwa7G4jNCeOMZATkCHFOVzwJjwp8POQJ/nf0LOx7uQL/i/dClsPjmpp+6OeP5KXskz54VrkeOwsrKynjAlppwX0OEe0wUDjc9DCd7J+Pxkyz5fPIknnbvAet06eB26iSsU6Y0KvvM0RiOq4q7yniY4ynXzacTT0+g77G+KJy5MNbXX6+kJDokBAFly8n+3f26v/pmz1s7UQPsbZI0wNbNo0RmSUy49znaByefncTY8mPRxK2J1uY+qFwFUXTrKffGDbArWlTr+TzBuBDguGpc+2FO1jDhbk67yb4kigAHUj4g+kCgwoYK+PT9k4zMFkhtlSIn3H1XAwW8xJtyaQmwb3CcLkFnAiJkttzq2QGR5y/hlkc6NB+yFHaFC4lfmzUwAoQAx1TlY8CY8EdDjsDIMyOxK3AX+hfvj86FO4sG5nkdV3wKToGMrZvCcdQ40fokVbCdSubc3AjUJLsq/C5adYk1JfA95jsO+RxC1tRZReuTUkEslZN5WLMmol685OapUgKbiC6Oq4rgMB4GOngmsMyxJ8fQ73g/FMlSBOvqrVOy+Ovt2wj2aQqbzJmR78xp9R5t6Qjc3g7UmQyUlaDZt/oVNR9xayuwjZ6lLp6U4e6n+TwVI4UXFcILizHlxsAnn4/W+p506oTwc+eRdcJ4pPfRfr7WC/IEvSLAcVWv8Fq0cibcLXr7Lct5DqSWtd+G8rb8hvII+x6G3Y13wyWdi+pll9ehkjLn48hxAxHu8qY+PxuVMn9+pG/WFOkaNuQrkIY6JGa6DsdU5Y1lTMz0sOvg1p9n/sTuwN0YUGIAOhWirEEREvP9Ox6UKIKYSCvkXvIP7CrR88SYZAc1hb1B5Qxq/k2Eez/RlpVcWxIR0RE46HMQ2VJnE61PagXcPFVqRBPXx3FVER/Gw7Dnz5hXO/rkKPof7w+PLB5YW0+5kfOnQ4fw/Pd+sPUoApdNCdd4V/AvnnCfQoS7BM2+pQRPTrjnpjr0HfaI1vz7sd9x/Olx/FXuLzTL10xrfa8mTMTHNWuQkYh3x6HUU4vFpBHguGrS22fUxjPhbtTbw8ZJiQAHUinRZF1yBIyVcI96+xaB9Rsg5tMnHChuBYcYe5S48x2xRNwIYmVri7S1ayF906awK1nSuMoT8PEyCQQ4pipvE2NiEkfXIEaOOD0CfkF+GFRiEDoU6iBqTXkZk2R20ch79BCsMuYWpU/yyTsoE/IGlTOoMRao2F+0+tLrSuNr1Ffsb7IfOdLkEK1PagUKzVP3+CFl3rxSL8H6fkKA46ricWA8+OMhR+DI4yMYcGIAijkUw+q6yrdd369YiTdTpiBtvbrIPnOmeuC20LPq9g6g7lSgjATNvtWvqPkIodSNUPJGIsJdeFEhvLAYVXYUfN19Nbfjx8iPGzfi1ZixSF25MnIuWqj1fJ5gXAhwXDWu/TAna5hwN6fdNJAv//77L6ZNm4ZXr17Bw8MDc+fORenScY1DEpItW7Zg1KhRCA4OhpubG6bQg79evXrxQ4WyF6NHj8aSJUsQQrXmKlSogAULFsjGyiV37tx4/PixgvpJkyZh2LBhGnvNgVRjqHigFgiUX08Z7pFh8Gvsh9zpcqueGZ/hvoYy3BtpsYKKofKSMvlJV3PS+Ys869cfYQcPIjpfbrT2fgrn9C7YUWU1Pvn5IYQ+kxEPHsbPSJ7LGemb+CBdYy8kdzSuBnXigWIN+kJA3zHVFJ81+sZEX3vJeqVHYPjp4dgTtAeDSw5G+4LtRS3wkr5DhWzZigx5w+G09gyQ3lmUPsknxxPuY4hwHyBavZxw39dkH3KmySlanz4UcPNUfaCasE59xlV+zhhuH3kl6RE4/PgwBp4YiOIOxbGq7iqlBV6Nn4CPa9ciU9cucBg0SL0Bm+lZdWencRPuuSoCHfeq90XNiAHHB+DIkyMYWWYkmv/WXGt94Zcu4Um79kieIwfyHjms9XyeYFwI6PM5Y1yesjWGRoAJd0MjbuLrbaLraO3atcPChQtRpkwZzJo1CwKhfv/+fTg4OCh5d+7cOXh6ekIgxxs0aID169fLCPdr166hUKG4WtLCfws/X7VqFVxcXGTk/K1bt3Dnzh3YUhauIALh3rlzZ3Tt2jV+jTTUEdze3l5jRDmQagwVD9QCgXLry+Fz5Gfs8d6DXGlzqZ65rDbw9AKVlNE/4R525Aie9ekL2Njg66K/0T5wtMw2wUZBhJdc327cwMetW/Fp337EfvkSZ7e1NewrVkB6b2+krlaNm8FpcQ4scag+Y6qpPmv0iYklnjFT9vmPU39g36N9GFJyCNoVbKezK7ExMXjgWRnR794hZ5X3SD35KhHuRkZC7+wFXKf6wTXGSEK4l11fFuGR4djrvRfOaY3s5cKPnfx86hSeduse1zz15An1zQh1PgE8UV9xlZ8zfLZMHYGDwQcx+ORglHAsgZV1Viq587RnL3w+fhxOY0YjQ4sW6t3dTM+qO7uIcJ9GGe7d1I835Ij/UW35rVRjXiLCXXhRIbyw+LPMn2jxmwbY/OJr1IcPeFC+Al0ZtoK7/zV+BhjyLOhhLX09Z/RgKqs0MQSYcDexDUtqcwWSvVSpUpg3b57MlBj6RTBnzpzo27dvgtnmzZs3R3h4OPbs+a/WWtmyZVGUunkLpL1A/GXLlg2D6K374MHUAJIkNDQUjpRlu3LlSrT48eVAINz79+8v+6OrcCDVFTmelxgCGhMDUhPul5cCeylbJX9DynD/r25jdFgYgqiUTNSbN5TR0hXP2lRB+wPtFQj3n/2Joc/npwMHEbJ9O75eJSLnhwgkQrr69SjrvTFsCxfmkjP8MVBCQJ8x1VSfNfrEhI+gaSEw9NRQ7H+0H0NLDUXbAm11Nv7rzZsI9m0O62QxyOf9ClaDbwPpjKzMys7eRLjTc6j6aKDSQJ19lU/U+EW26JV0V8DNU3XHTtuZ+oqr/JzRdid4vLEhcCD4AIacHIKSjiWxos4KJfOCGnkhIiAAOZcsRupKVPtcncgJ93rTgdL/Jbmpm2aQnwulboSSN7mI5O64T/SSg04MwqHHhzC89HC0yt9KJ30BZcshmm7nu+zYDlvqkcViugjo6zljuoiw5VIhwIS7VEhagJ7vVPs5VapU2EpZsY2JhJNL+/btZaVgdu2iN+K/iLOzMwYOHKhAlAvlY3bu3IkblGEbFBQEV1dX+Pv7y0h4uVSmemjCf8+ePVv2TwLh/u3bN0RGRkLQ2apVKwwYMADJkiVTiXxERASEP3IRAqnwckAg9NOmTWsBO8YuGgKBMuvK4EvUF+zzpqvvaRPJOlxWizLcL8aR4wJJLlZUEO4vx45FyIaNEMrE5KHP5I1Pd9Fufzs4p3HG3iaJX8H8TmWfQnbsRCh9PqNev463MEWePEjn5UWNVhsgOb0gY2EEBAT09eXUlJ41/Jzhz4IqBAQSRCBDhpUehtb5W+sM1Bu6Sfh+4SKkcf6GHOU/AAPuEOGeXWd9epm4iwh3f4Fw/4sIdw3KFqgxQuPeKHpxRnOl76j84dvZc2BXogRyr1NuWKi5Jh6ZGAL6eNbwc4bPnDkgIHupSy93SzuVxrLayxRcEpLaAkqWgpBYk2ffXqSk7/JqZRO9HL67GzBKwp1K3WyhkjfO5YFO+9W6om6AFM/o4NZtZMlK2ajUrvA7EovpIqCP54zposGWS4kAE+5Somnmul68eIHs2bNDKBNTrly5eG+HDh2KkydP4uJFIhN/kRQpUshKxbRs2TL+J/Pnz8dYIgVfE6En6BJqtgu6s2bNGj/G19dXllErXPcUZCY1eilevDgyZswomzN8+HB07NhR9u+qZMyYMbJ1fhUm3M38oBrYvaQj3OmL9V7KJPwpw/0LlWp63CqO2HGmGyL2ZcvA/42/jHAX6uAK9XA1ESFzL/zCBYQS+S6Up4mll11ySUX9GtI1aog0tWrBhl9caQKn2Y7R15dTU3rW8HPGbI+3aMeEa/7CdX+xhLs8QzFbuVCkyxVu3IR7tVGAZ9xtRTFSYUMFfPr+Cbsa70KedBqQRGIWEzE38vUbPKTya6Bnpgu94LZ1zydCG09VhYA+njX8nOHzZg4I7Avahz9O/4EyTmWwtDbdfP1JhMxrIQNbEPfr/pqVPNnUhgh3PyMn3MmnTgdEb9/Qk3QLLXg//ij1B9oUIL91kJd/jUbI5s3I1LMHHPr100EDTzEWBPTxnDEW39iOpEWACfekxd+kVk/KL6e/ArV8+XJ0794dnz9/RsqUKRPEkTMPTep4mayxGjd3i89wpzq3+SXIgrj8g3D/jXS1WIcYuoHyyLsJvgcGIl1TH2QbP16G6fU319F2f1vkSJ0D+320zwiJps9Y2MFDCCUy4Qs1CJKLFb1MS12lCtJSRkdqupFiTf/NYlkI6OvLqSk9a/g5Y1lnXhtv5fVhR5QZgZa//Zd0oI2O78+eI7BGDVk/jnyNX8EmeSQw8C6Q1shuGu3qQxnu1J9EIsK90sZKCIkIwU6vnXBN76oNZAYfK29Qnp5KKGYdO8bg61vCgvp41vBzxhJOjvn7KDTmFhp0l81aFktqLVFw+Ovt2wj2aQqbzJmR78xpzcDYSEk796gMbP0ZQKkums0x1CihtrxQ8sZZGsJd3mdFTNm3D5RU+HrSZFkSUo45cbfyWUwTAX08Z0wTCbZaagSYcJcaUTPWl5TXL3+F9TZ9iRCart67dw/u7u4aoc6BVCOYeJCWCMgJ9/1N9iNHmkTq6i6tCTwjwrq5fgj3t3Rz5N2cubDJlAmudHXUhmqwCyIn3LOnzo4DPuIyQiLpJkronr0I3b0L3x8GxiNlTQ2M09SuRTXf60PIgLcicojF/BHQV0w15WeNvjAx/9Nkfh6KbcgmIPJhzVq8njABqUqWRC43KgkWG02E+z0i3P+7EWgUyO2mJt3XVhPhPpIy3IeINslzoyc+RnzEjkY7kDdDXtH69KkgnF5EP2nXHlZ2drLmqXzzS3q09RFX+Tkj/T6xRsMj4BfohxFnRqBc1nJYXGuxggGfDh3C89/7wdajCFx+3BhXa2E84U43yEt1VjvcoAPuUKmbzVTyJmdZoPNB0UsPOz0Me4P2YnDJwWhfkErV6CCfz5zF0y5dkILK47ru/a9fnQ6qeEoSI6CP50wSu8TLGwkCTLgbyUaYihlCg6HSRKjNnTtXZrLQNFWoqd6nTx+VTVO/fPkCPz+6nvZDypcvjyJFiig0TRUapgqNUwURAp6Dg4NC09Rf8Vm3bh3atWuHd+/eIUOGDBrBx4FUI5h4kJYIlFpbCt+iv8nIbIHUVilSE+5XlgN7BgCU4R5RZjweeTVGLGW5Z5s+Heka1I8348bbG2izr43MNrGEu1ypUBcygl52he72w6d9+xTqvdtkyYy0tesgbb16sCvqAStray0R5eGmgoA+Y6qpPmv0iYmpnAu2Mw6B/sf74+iToxhVdhR83X11guVJp84IpzJ6DlS6L9NTKiEWGwMMug+kcdJJn94m7f6dCPdVQFUi3CuLJ9wrb6qMD98+YFujbciXwbjLtAjPw0dCY8IHD+A4fBgyUl8jFmkR0Fdc5eeMtPvE2gyPwO7A3fjzzJ+okK0CFtZcqGDA+xUr8WbKFPo+XhfZEynBqjBJTrg3+Aco2cnwDiW2olDqRih5k7MMEe6HRNs24vQI+AX5iSLcI1++xMOqVFaMesr95n8NVsmTi7aLFSQNAvp6ziSNN7yqMSHAhLsx7YYJ2CLUVBeapC5atEhGvM+iZl6bqXaZkGnu6OgoI8GFOu+TJk2SeSPUWxcaoE6ePBn1Kft148aNmDhxIq5RrWkhQ12QKfRlQPi5UOvdxcUFo0aNws2bN3Hnzh3Y2tri/PnzsvrwVatWRRrKpBX+W2iYWrduXdkcTYUDqaZI8ThtENCccKeyAM8uU/mX9USS/0eIa7OWwtgfhHuse3082Z9cVu7FvmJF5FyyWNb/QC76INx/tiOWXrp9uXwFn/bupdIzBxFNTYnlkixb1h/ke13Y0uf9Z7t09psnGg0C+oyppvqs0ScmRrPxbIhGCPQ71g/Hnh7TmXCPDgtDQPkKoG7xcD2wHylWCo3lY42ccP+TCPehGuGT2KAqm6rg/bf32NpwK9wzanaLUfSiIhR83LgJr6hvkNCs3HX/fn7RLALLhKbqK67yc0bijWJ1Bkdg18NdGHl2JCpkJ8K9hiLh/mr8BHxcuxaZunaBw4+kNrUGbmgF3KfbVMZMuOcoDXQ5rNYVdQOEFxXCC4uBJQaiY6GO6oYn+HNZY9oSJRFDyYUaN6bVaSWepG8E9PWc0bfdrN/4EWDC3fj3yOgsnDdvHqZRN+5Xr16haNGimDNnDoQsEUGqUE3n3Llzy7LT5bJlyxaMHDkSwcHBcHNzw9SpU1GPsl/lIjysRo8ejcWLFyOEGrxUJNJQaKyaL19cVpNAzvfq1UtG6gv1cgVSvm3bthg4cKDK+u2G/MJudBvEBhkUgZJrSyIiOgIHfQ4iW+pE6uoulZpwX0EZ7v0R8q0cXu58DCt6OZVnjx9S5FAsa3Pz7U203tca2eyz4WBT8VcwEwNXyLD/TC/ZhKz3z0eOyr6AyiU5vYhLW7cOlZ6pQ+R7QSbfDXpK9bOYvr+cmuKzRt+Y6GcnWas+EOh7rC9OPD2B0eVGo2m+plov8YmI2+cDBiIFfedx3U8Nr8ekJx0C4R5AGe6OWuvT6wQ/ahZ3lb73VZWGcK+2uRrefn2LLQ234LeMv+nVdCmUC8+6B5WrIIZekuRcvAipPT2lUMs6fiCgz7jKzxk+ZqaMwI4HO/DXub9QKXslzK8xX8GVpz174fPx43AaMxoZWrTQzM0N1G/kPj1vGsyiDHfdSGjNFtJh1F0q2bKJasxLRLiPPDMSuwJ3YUCJAehUSPds/kfNfPHt1i1knz2bkoxq6eAYTzEGBPT5nDEG/9iGpEOACfekw55XNjACHEgNDLiFLFdiTQl8j/mOQz6HkDV1InV14wn3DZTh/t8LJ51hurICUdsGIOhgTkR/iUKWQQORuWtXJXW33t5Cq32tkNU+Kw41FX8FU1N7Y759w+dTpyCQRp9PnETs16/xUwXyPU3t2khbqyZsqbwUl53RFFXjGscxVXk/GBPjOqNJaU3fo0S4PzuBMeXGwCefj9amPKcyMp+obFfGzp3gOITKtIyJ68uBwQ+A1A5a69PrBL/+RLjTS+AqI+jPH6KXqr65Ot58fYPNDTYjf6b8ovUZQoHQOE9ooGdf2RPOdAuURToEOK4qYsl4SHe2TF2TnHD3zOGJf6v/q+BOkFDqKiBAdvM1daVKmrkqJ9wbUgPQEh00m2OoUfco834jZeDnKEUZ7kdErzrq7CjsfLgT/Yr3Q5fCujeIfTHiT4Ru347MvXsjS19qIM5ikghwXDXJbTMJo5lwN4ltYiOlQIADqRQoso5fESi+pjgiYyJxuOlhONknUld3SXXg+RUqKSMd4f5i1GiEPrJHSro54rJ9W4K1A//37n9oubelwQn3n3ESsv8+nzqNTwcO4PNJRfI9mZMT0tSogTREvqcqUYIbrprQR4xjqvJmMSYmdID1bGrvo71x6tkp/F3+b3i7eWu1WmxUFAIqVEQMlejKtW6tLDb+R7g/JMI9i1b69D5Y6CcilDmrMpz+DBO9XI0tNfD6y2tsbLARBTMVFK3PEAq+P36MQLrBRde34koA5cpliGUtYg2Oq4rbzHhYxLHXyMltAdsw5vwYVMlRBXOrx/VXk8v9UqVlt26E268p82rYfHo9ZcIH7AcaziHC3cj6UdyjzPuNlIGfvSTQ9ahG+CQ2aPS50dj+YLtowv093ep/M3kK0tSsiRxzCTcWk0SA46pJbptJGM2Eu0lsExspBQIcSKVAkXX8ikCxNcUQFRNlcML9y7pxeDyO6sGT5Fq/HqmKF0twc26/u40We1vIXgYILwWSWmIo010g38MOHZJddf257IwNNUBOXY16NRABb0/Nla1Tpkxqc3n9RBDgmKoMDmPCHxk5Aj2P9MSZ52d0Ity/XL6Mx23bwSZ9eridPRN3C2isUFKGZLARE+6ViWyvSqS7SKm5tSZehb/ChvobUChzXL8fU5An3bohnJ5vGTt0gOMw8Zn+puCzIWzkuKqIMuNhiFNnGmtsCdiCv8//jSo5iXCv9h/hHv05HAEliZgmyXflCmxS22vm0PrmRLgfMHLCnV5Adz2mmT+JjBpzbgy2PdiGvsX6oluRbjrrExqbCw3OhZesrgcJOxaTRIDjqklum0kYzYS7SWwTGykFAhxIpUCRdfyKgOaEO3Wxf34VaLkRcK8rCshYaqL3qG41RDx7h/TFMyHr+jMq9ckJd8dUjjjSTPwVTFGG/zI5hnoyhJ89h7DDhxF27Jgsm1MuVqlSya7ApqleDamp8bJNuh/lFKQ0gHWJQoBjqjJ8jImoI2VWk3sc6YGzz89ifIXx8MrrpZVvr6dMxYcVK5DOywvZpkym0u1Uu11OuA8JBOwza6VP74P3DKQM92XUMFUawr321tp4Ef4C6+utR+EshfVuvlQLCDe4nnbvAeu0aeF24jis6TnGIh4BjquKGDIe4s+UuWjYfH8zxl0Yh2o5q2F2NSoD80MiAgMRVL8BrNOkgfvlS5q7u84XeED9nhoReV+8nebzDDHyPmXeb6AM/OzSEO5jz4/F1oCt6FO0D7p7dNfZg6h37/CgIpXsodtN7teuwtrOTmddPDHpEOC4mnTYm/vKTLib+w6zf/EIcCDlw6APBIqtpgz32CgcaXoEjvaJNLJbIh3h/n7pUryZPgM2KaPh2s8DNp22qHTt9nvKcN/TAg6pHHC0mfgrmPrAUNApvET4Qlk4YYePIOzoUUS9fv3fUjY2SEWZOjLyvWpVpMiZU19msF4tEOCYqgwWY6LFATLzod0Pd8e5F+cwoeIENHJtpJW3QmkSoURJ9lmzkLZObSAmBvg7Q5yOIUFEuGfSSp/eB+8dBFxeSoQ7ZXVXpTruIqXOtjp4/vk51tZbC48sHiK1GW56LO1TYJ26iHzyBE5jxyJDcyKvWEQjwHFVEULGQ/SRMhsFm+5twviL41HduTpmVaVGpz/k89mzeNq5C5WczIs8fn6a+xtPuM8jwr2t5vMMMfI+ZY9voAz8bMWBbsdFryjcDBBuCPQq2gs9PXqK0hdQvgKiP3xA7i1bYFfYdG5liXLazCZzXDWzDTUid5hwN6LNYFP0iwAHUv3ia6nai64uiujYaBmZLZDaKiWecN9EGe5U51VHiXz+HIENGsqakGYt/RHp61QBWlHWvAq58/4Omu9pDgc7Itx9jZdw/9n8WMrm/Pa/2wg7cgSfjx1FxAMqofCTCL9ApK5SRUa+23l4cN13Hc+S2GkcU5URZEzEnirzmd/tUDecf3keEytOREPXhho7FhH0CEH16sl6cridPx9XCiAmmgj3jHE6hj4CUv34/xpr1fPAvYOJcF8CeA4Fqv0perG62+ri2ednWFN3DYo6FBWtz5AK5PV8heeUy+7dlPRoZcjlzXItjquK28p4mOUx18mpjfc2YsLFCaiZqyZmVpkZryNk23a8/PNP2FesCOelFJs1lXXNKMP9EOBFDViLtdF0lmHGBVDm/Xp6iZmNSmh2OyF6zfEXxmPT/U3o5UGEe1FxhPvjDh3x5cIFZJ0wAel9moi2jRUYHgGOq4bH3FJWZMLdUnaa/QQHUj4E+kDAY7UHYmJjcKzZMWRJlUgju8VVgRfXqKSMOML9aZ8++HzkKOzccyBX0UuwEsrTJEK4331/F757fE2KcP91n75TtqBQcubz8ROyLHhEE/n0Q4Qax6kre8rKzgi/WNjQtyaCLAAAIABJREFUVX4WwyDAMVUZZ8bEMGfPFFbpcqgLLr68iEmVJqFBngYam/x++Qq8mToV9hUqwHkZZY0LEh0FjPuR1W7UhPsQItxHauyrqoH1ttfD07CnWF13NYo5JNyfRPQielIQ/ekTHlapKutPkpNuo6WuWEFPK1mOWo6rinvNeFjO2Vfn6fq76zHp0iQlwv3t/Pl4N2cu0jX1Qbbx49Wp+e/na5sCD6nfkzET7lnpJWz3k5r7pGKknHDv4dEDvYv2FqXv1YSJ+LhmDffvEIVi0k7muJq0+Jvz6ky4m/Pusm8KCHAg5QOhDwTkhPtx3+PIbJdIXV0JCPewEyfwrAdlYSRLBpcJHWDr/zd1Q0qccL/34R6a+TVDFrssOOYrvsmQPjDURmd0SAg+nzkra7j6+fRpxBC5ES9UesauWFGk9qwsI+FT5svH2YXagKvlWI6pyoAxJloeIjMe3uUgEe6vLmJKpSmol6eexp4+7kiZcucvwHHEcGRs96OGrrET7vuIaL+0mDLcpSHcG+xogMefHmNVnVUo7kjlA0xMXk0k8mX1Gu2zS03MT0OZy3GVCXdDnTVTW2fd3XWYfGkyaueujemVp8eb/3LUXwih8iaZKUknSx8tyOS1PkS4U78nr/mU4d7auOAIoMz79ZSBLxHhPvHiRGy4twHdi3RHn2J9RPn6kbB+RZjbly8P5+XUz4TF5BDg54zJbZnJGMyEu8lsFRsqFgEOpGIR5PkJIVBkVRHE0v/UE+5VKMPdn7LRNxNJTjV5tZSYb98QRKVkIp89Q8ZOneBYg+rF7+5Luqg8TSvKmlchcsJdeBkg2GhOEhsVha/+/hBeRAjN6r4/pGaCP0kyBwfYV6pIzVc96UtwOc5+l3jzOaYqA8qYSHzITFhdp4OdcPnVZUzznIY6LpqVEYv+HI6AcuUA6mnhemA/UuTOHYdAdCRluP94oftHMGD3o567seCzj0rJXFoEVKLSMtVHibaq4Y6GCP4UjBW1V6CkU0nR+gyt4PvTpxDq8Au1911274Itvfxl0R0BjquK2DEeup8lc5u59s5aTLk8BXVz18XUylPj3XvSrRvCT51G1vHjkL4pZa1rKnLCvfECoGgrTWcZZtwDyrxfR75kpb4e3U+JXlN4USG8sOhauCt+L/67KH1fb9xAcPMWsMmSGfkoGYjF9BDguGp6e2YqFjPhbio7xXaKRoADqWgIWUECCBReVVj2r/om3N/OnYd3//6LZI6OcN23F9b3t2lEuN//cB9N/Zoik20mnGh+wqz38Puz5/h86qTsl4xwqqUYSy8p4kXIfqd67/Z0vT81lZ6xLViQa7+LPA0cU5UBZExEHiozmt7xQEdceX0F0yoT4Z5bM8JdaBj9rHcfJHd2Rt5DVK9WLlHfgfE/Spb98ZgI9/TGhdR+apZ6cSER7tQ8tfpfom1rtLMRHoU+wvLay1HKqZRofUmh4Nnv/RB26BDSUT3fbFTXl0V3BDiuKmLHeOh+lsxt5po7azD18lTUdSHC3fM/wj2okRciAgKQc8kSSjqpqLnba6j+eCD1e2pM8bxoS83nGWLkA8q8X0cZ+E5FgB7iSe0pl6Zg7d21khDuMeHhuF8i7uWw2/lzSJbByF6KG2J/THwNjqsmvoFGbD4T7ka8OWyatAhwIJUWT9YWh4CccD/hewKZ7H7U2E0InMVVfmS4b6Gs9FpawSfUMBey22O/f0f2Wf8gbR0ib66tIcKdrkC6UbZ8a8qaVyGWRLj/DEFMRAS+XL6CcMo0EUrPfA8KUkDIJl06pKJMUiHzPTXVSk6ePbtWe8KDwX0xEjgE/JzhT4Ycgfb72+Pam2uYUXkGauXWLOa//Gs0QjZvRoY2beA08qfmo1ERRLj/aMptzIR7xYFAjdGiD0HjnY0RGBqIZbWWoXTW0qL1JYWCL3T76nHLVrLmt3mPH0OyzImUnEsKA01oTY6ripvFeJjQ4dWzqatur8L0K9NRP099TK40OX61+2XKIiY0FHn8diOlm5vmVqzxJsKdyk8aNeFOiU49zmjuk4qRwosK4YVF50Kd0b9Ef9H6HtashUi63eS8ciXsy5YRrY8VGBYBjquGxduSVmPC3ZJ228J95UBq4QdAD+7HxsaiyGrKtCA52fwkMtpmVL3KosrAy+tU/kV7wv1p9x6ykikCOZxz2bK4uuQaEu4BHwPgs9tHZptgo6VK5IsXRLyfQfgZ+kPZ7zFhYQpQpMiVC6kIX6H+on3p0hAIeZbEEeCYqowPY8KfGjkCcsJ9ZpWZsoZ26kR4njysVh1RL18i5+JF1IvC878pPxPuw54AtkYWn/YPowx3KkEgEeHuvcsbD0MeYmmtpSiT1XSJC6HEgFBqIHOvXsjyO5WAY9EJAY6rirAxHjodI7OcJCfchcbcQoNuQYSGzfeLl5D9/3yXL8EmTRrNfV/dGAii8pPeVCLMo4Xm8wwxUqgtL5S8cZKGcJ92eRpW31mNToU6YUCJAaI9eEq30z7TLTXHESOo/0pb0fpYgWER4LhqWLwtaTUm3C1pty3cVw6kFn4A9OC+IQj3MGoO+qxnL4Cy5PLs2oWUeVziPPFfC+yiRkhqMtyZcFfeeFnt91u3EH72HP05i683b1KN5Oj/Blpbw7ZAAdiXK4tUZelP8eKwtrPTwwkybZUcU5X3jzEx7TMtpfVt97XF9bfXMavKLFTPVV2t6m90/f8RlQGwSpkS+S5egLWt7X9zIqk81gTq2yHIsKdEuKdVq8+gAw4MBy5Qk72KRFrUGCN66Sa7m+DBxwdYXHMxymWjmvYmKp8OHMDz/gNgQ+UFhCx3hT01UZ+SwmyOq4qoMx5JcQqNc80V/1uBmVdnopFrI0yoGFe6KiLoEYLq1YO1vT3cr17RzvB4wp2aYHs0126uvkc/pFI3a6nkjSMR7j3FZ7jPuDIDK2+vRMeCHTGwJN3OEilvZs/G+wULkb5ZU2QdN06kNp5uaAQ4rhoacctZjwl3y9lri/eUA6nFHwHJAYiJjYHHamreQ3Kq+SlksE2kZt8iylZ8eYPKv2wlklx9tqOgUyiLImuUSlcUM3XtAodBVB9XLvGEO5UqaE1Z8ypEIC0E8iJDygw41UJ8kyHJQTQChdGU7f7l0iWEn7+A8HPnlMrPCCUB7IoWRaoyZWBfpjRsqRa8dYoURmB50prAMVUZf8Ykac+kMa3eZl8b3Hh7A7OqEuHurJ5wf0+3l95Mmw57z0pwXkxkx88S+ZUId6e4fxn+DEipRcaiIUA5MIII93+BCnQtv+ZY0SsKt7KEl8WLai5C+WzlRetLKgXCy12heWrk8+dwGjsWGZr7JpUpJr0ux1XF7WM8TPo4S2r88v8txz9X/1Eg3MPPn8eTjp2QwtUVrnv3aLfeai/KcD8BNFkCFDGyeCWUuhFK3jgWIsL9rHZ+JTB65pWZWHF7BToU7IBBJX/6/UpHzZ/27cPzgYPod4QicNm0SUctPC2pEOC4mlTIm/+6TLib/x6zhz8Q4EDKR0FqBKJjolF0TVGZ2tPNTyO9bSKN7HQg3N/On493c+YimYMDXPfvk2WrxIuGhPvDjw/hvdsb6VOmx+kW4psMSY2hMeqLfPUKXy5ejCPgqfxMFP33zyJkoNoVK4ZUpUvJys/YFilikQQ8x1Tl08uYGOMnOmlsar23NW6+u4k5VeegqnNVtUY8btde9uLPceRIZGzTWnH89y/AxKxx/2bUhHs/Itz/VuurugHN/Jrh3od7WFhjISpkr6BuuFH//MOqVXg9aTJS5MmDPHv8YEU3qFi0Q4DjqiJejId258ecRy+9tRSzr81G47yNMa5CXFZ1yI6deDl8uKxEovPyZdq5v6oR8IjKTxoz4e5QEOh1Tju/EhgtvKgQXli0K9AOQ0oNEa0v4uFDWZKUVapUcL9ymWO9aEQNq4DjqmHxtqTVmHC3pN22cF85kFr4AdCD+1ExUSi2pphM85kWZ5AuZSJ1deMJ922U4V5DrTVCRlxg/QaI/fYN2WZMR7r69RXn+K+jkjJUaiYvZcu3oax5FRIYEojGuxoz4a4W8YQHCGWDIqlprUC+f7lEJPzFS4h+/15hsIyAFzLgS5VCqpIlYUfZLZZQgoZjqvKZYUx0/KCZ4bRWe1vh1rtbmFttLqrkrJKoh9GfPyOgLJVOoYxo10MHkcLZWXG8AuH+nDLcUxsXYgepwev5eZThLg3h7uvni7sf7mJBjQWomL2icfmqpTXC3j6sUhUx9HeOhQuQpkriZ0FL9RYxnOOq4jYzHhZx7DVyUk64e+f1xt8V4l52vlu4EG9nzUa6Jk2QbWJcmRmNZVVDItzpNmyTpZTh3kzjaQYZGEi15ddQjXmJCPdZV2dh2f+WoW2BthhaaqhoF4QbTfeLFUdsZGTCz3HRK7ACfSLAcVWf6Fq2bibcLXv/Lcp7DqQWtd0GcVYrwn1hJeAV1QpvrRnh/qxff4QdPCgjcZ1Xr4prlPqzaEi4B4UEwWuXl+xlgPBSgEUcAgIB/z0oKK4EDZHvXy5fViLghXr7dgULEvleAnYlSshqwJtjE1aOqcpniTER9/kyp9kt9rTA7fe38W/1f+GZ46cGqAk4+enQITz/vR9S5M4N1wP7lUd8D6cM92xx/z7iBZDip9tOxgCanHAv/ztQS3zt2uZ7muPO+zsaYWcM7quz4fXUafiwfLnshWyutWvUDeef/4IAx1VFQBgP/ojIEVh8czHm+s+Fj5sPxpQfI/vnl6PHIIRKmujUrFlOuPtQZnzhpsYFtFDqRih541CAMtzPi7ZtzrU5WHJrCdrkb4M/Sv8hWp+gIIheckTcuYvsVM89bW0q+cliMghwXDWZrTI5Q5lwN7ktY4N1RYADqa7I8TxVCETGRKL4muKyH6vNcNeCcJfXXwRdPXfZsQO27vmUTbi+HtjZU22Gu5xwT5siLc62FF/zkE+DIgIyAv7RIyLgL8vId+FP1Js3SjCldHMj8r04UhEBb0cZMMmzZ1N+iWJi4HJMVd4wxsTEDrEezdWGNH45ahRCtmxFhnZt4TSC6qH/KhGfgUnZ4/51xEsi3FPp0XIdVB8aCZybC5TvS4T7eB0UKE7R5mWF6MUMoEAoU/awJpEvlPmYa/16egkbdzOORTMEOK4q4sR4aHZuLGHUohuLMO/6PAXC/Wn3Hvh88iSc/qa+Eb5a1mFf2QAIpvKTRkm4U6mb1VTyJkt+oPcF0dsrJ9xb52+NYaWHidYnKHjx558I3bYdmXr2gEM/uvHFYjIIcFw1ma0yOUOZcDe5LWODdUWAA6muyPE8VQhERhPhvjaOcBfIbIHUVikL6Vr8q1tU/oUy3POqLikjXEUM8vbG94eByNC6NZxGEZGRkMQT7qRL0KlCgkIpw32nF9KkSINzLcXXPOTTkDgCshI0z57hy5Wr+HL1Cr7S39+Dg5UmCXX57SjzPVWxorJ68La//QYrE2vEyjFV+SwwJhwh5AhoWhZFiBlCyZGo16+Rc+lSpK6YQM3yiDAi3HPEqTZmwr1cH6C2liUMEjgy2pTjMZUT94Jq84du3YbUVasi54L5pmK2UdjJcVVxGxgPoziWRmHEghsLMP/6fDTL1wx/lftLZlNQY29E3LuHnIsXIbVn4rerlJwwCcL9NyLcL4rGf57/PCy6uQgtf2uJEWUSeNGtwwof1q7D6/HjkbpyZeRctFAHDTwlqRDguJpUyJv/uky4m/8es4c/EOBAykdBagS+R39HibUlZGoFMlsgtVWKhoT7h9Wr8XriJNikTw/XgwdUlyLRkHB/FPoIjXY2QprkRLi3YsJd6jOgib4oqvn+5epVfL16DV/8/fHtzh1ZreafRagDb1uoENWC94irB09/kmXJoon6JBvDMVUZesYkyY6j0S2saePPb/fv45FXY1jZ2SHfhfOwpligJN8+AZNzxv3zn9TEObmdcfl7aBQ9BOcAEhHu2jacNS4wErYmgm5CBdWjXiz0gsVl9y7Y5kvg5popOJIENnJcVQSd8UiCQ2ikSy64ToT7jfnwzeeLUeUoDpMI/UCiQ0LgsoviTEI3ZBPzZQXFqMdUfrLpcqCQj3F5LdSWF0reZHYH+lwSbdu/1//FwhsL0cK9Bf4sS31IJJAv167hcavWEJJq3E5RRj6LySDAcdVktsrkDGXC3eS2jA3WFQEOpLoix/NUIRARHYGSa0vKfny+5XmkTpFII7t4wn07ZbhXT1Bl1IcPCKxdBzFhYXAaMwYZWjRXDf71DVRSpgfgSrrakk4VEhwajIY7GzLhbkTHOObrV3y9eQtfr1/HV/pyLvwdHRqqZGHybNlgSw1Y7TyIhC/iAdsC+WFta2s0nnBMVd4KxsRojmeSG+Kz2wcBHwOwqOYilM9WXqU975YswdsZM5GammnmpKaaCYoC4f6aCHfjiQMyew9TZuXZ2ZIR7m32tcGNtzcwq+osVHdO+HmZ5BusgwHy3ixpGzZE9mlTddBgmVM4riruO+NhmZ+DhLyWk8bN3ZtjZNmREL5fCo07Bcl36SJs0iZy8zYhhfGE+woi3JsYF9CPqNTNKip5IxHhLn9ZIcdOCmejP4cjgHpvCS9W3c6eQbJMmaRQyzoMgADHVQOAbKFLMOFuoRtviW5zILXEXdevzz8T7hdaXYB98kQa2S2gkjKvhZIyqgn3l0Syh2zchJT588Nl6xZY2diodkBDwv3xp8dosKMBUidPjfOtxDcZ0i+ilqk9rg58cBwB/+NPxIMHsi/sCpIsmSwr0r6yJ7L07JnkJWg4piqfV8bEMj/DCXn9f/bOAt6Kog3jD5fu7m5FGqRT6VDCAgQEAymlRFQaFQFFFERAQbpTVLqVDkEFEelLd/flm3fvd643zrkn9uzePXue+X78/ODszrzzn9mZ3WfeeafZj81w6MohTKg9ARWzVXQJ5virrVUIqp3I3L8f0rVs6fy6u2pB7rNc4b/1VWdEJHDiBR+X6FcNUIL7KKBCZ6Dep7otaf1La/x+4XeMqqEE99z2Edzv/PUXjjVXBxGquV12sCXK8f8wQbqJ2TsDjqtR25c87N3fvamdIyyKw0tbQhgerlcf8ZIlQ2EV1jBevHjeZAf80EB5uKvznl6cDDzV1Lt7jb76mPK8n6w88DOo3UFdduguzRGOJ/LuAN2ZqgzEcer+8ePIqRbTU1RV335MAUGA42pANFNAGknBPSCbjUb7QoADqS/UeE9sBO4+vIunZyhPBpX0Cu53VbzFo83U9s2wMOSeNhXJxEMituSl4C6LAWIjU2AQEC+Zu3/sw5296s++8D+PLl6MMD5l7drIPvILxEuYMM4qxDE1JnoyibPuaLmCmy5pin+v/ovv63yP8lnLO7XvkdrNJNv/8egR8q9e5VqAvXMVGJY7PA9LC+6dlOA+VHdbtF3WFrvP78bIGiNRO3dt3flZKYMTr7+BW7/9hjQtXkHWAWqhgsktAY6rURGRh9suEzQXOA7+bPlES3xQ/gPc2roNJ157DYny5kX+Zb94z2FSfeCECj9pZcE9fUGg607v6xbtDseBsy8UegEDKvpvLA7t3h03li1Hxp49kOHNN3XbyQzMIcBx1RzOwVgKBfdgbPUgrTMH0iBteAOrfefhHZSbUU4rYVvLbUiWMJnr0r5VB+Gd+1OFf1mkwsA8E+U68XA+0aYtbu/YgZT16yHHl1+6t3rvbGBRh/C8JE8X6cT1E2i4qCGSJUiGba30HzLk3jBeYQQB6SMPz5zBTSXUnBs8BHK4bsp69ZD98xGIpzzf4yJxTI1JnUzioidas8wmi5vg8LXDmFhnIsplDZ8noqcbq1cjtEtXJMqTB/mXL3NdkTtXlOCeJ/z3vheUh3sia1V69UDgVzVvle8I1P9Mt20Owf2L6l+gTp46uvOzUga3tm3HibZttR1KBdauQYIMGaxkniVt4bgatVnIw5LdNE6McgjurZ5shT7l+uCaitt++v0+SFaxAnL/oMLCeJsm1VOCu9oN++IU5eHexNu7jb3+mPK8n6w88NMXUIL7Lt1lTdg3AaP3jEbzgs0xsJKaw/yULk5QYeJGjkSqBvWVY8xIP+XKbIwmwHHVaMLBmz8F9+Bt+6CrOQfSoGtywyt8+8FtlJ8Z7rmoR3C/vnIlTr3zLuTgTPFIkdjdbpOHgvvJ6yfRYFEDCu5ugQbOBTc3bNBEOk10Vws02UfEjejOMTVmnyGTwHmOjLZUDquWQ6sn1Z2Ep7M437F0ZtAgXJ01G2lbtUKWfn1dmxRZcO+ndrrEj7udLU6NXD1ICe5KWPCT4N5ueTvsPLcTI6qPQL08SgCyUZLF0+OvtFC7l/YivfJ+zKS8IJliJ8BxNSof8uAT4yAwatcoTPxzIl598lW8X+59XBw3HhdGjULqpk2RbagP4b0cgvtLU4Eiz1sL9HHlef+D8sD3k+D+/R/f46vdX6FZwWYYVEnNYX5KNzf9ipNqbHe7kO6n8piNfwhwXPUPR+YSkwAFd/aKoCHAgTRomtq0ikYW3Le32o6kCZK6LtuFh3vYvXs40rARHoSGIkOnTsj4TlfP7N87R3m4v+XWw/3kDSW4L2yg2SY2MtmDwI116xCqFmkQh6I7x9SYfYlM7PF8+aMWjRc1xrHrx/BD3R9QNkv44drR07916+LB8RPIMXYsUj5T03Wxty8Dw/OG/97vkhLc42ZXi0sD1wwGNn2hBHd1kHf9YbrxtV/RHjvO7sCIakpwz2svwV3g3Fi7FqGdOiMkRQoUWLcW8VOm1M3MzhlwXI3auuRh597uXd2+3PUlJv05Ca2LtEbvp3vDsYibvuPbyPSuekf0Nk2sC5xU4SdfmqYE9+e8vdvY648rz/sf1HyQLj/wzm7dZTkE96YFmmJwZTWH+Sk9VOEfD1WpChVAH4V37kBI8ljO9/JTmcxGPwGOq/oZMgfnBCi4s2cEDQEOpEHT1KZV1CvBfWwl4PxfKvzLYiWS/yesXFSH6lz4YiQSZMqkhRQIUQcdeZQcgns+lVcblaeLRMHdI5oBedGNtUp0lw8qh+g+fLipMd05psbsNmQSkI+SIUbLYdVyaPWUelNQOnPpGGXcP3kSh2urcCkqJFShrVsRP0UsH+WBIriXU2HOGgzXzfONFW9g29ltGFZ1GBrkUyEEbJYeq7Najj7/PO4d+hcZ330HGdQh2EyuCXBcjcqGPPi0OAiM3DkSP/z1A9oWaYteT/fCyY6dcFM5ZGQZOBBpX3nZe1AT1Zx0UoWftLTgnk8J7nu8r1u0O2ShQhYsns//PD6u8rHu/CJncKhqNTy8cAG5Z85AstIx53+/FsbM/EKA46pfMDITJwQouLNbBA0BDqRB09SmVfTWg1uoMLOCVt6OVjuQJEES12U7EdzlZexwvfoIu3UL2YZ9htTqA9zj5KHgHnojFPUX1keS+Emw49UdHmfPCwODQBTRvU4dZP/ic9NEd46pMfsImQTGc2OGlQ0XNsSJGycwtf5UlMpUKkaRV2bPwVkliiQtWwZ5pk+P3aRbyqt9hBIZJPVX3u4h8c2ogudlrBmiPNw/B8qpXVcNRnh+n4sr31ipBPcz2/BZ1c/QMF9D3flZMYNrP/2M0716ISR1ahRYs1otuKSwopmWsInjatRmIA9LdEtLGPHFzi8w+a/JeO2p19CzbE8cadYM9/YfQI5x3yJljRre2/i9OqQ6VO2GfVnNSU829v5+I+84oTzvJykP/LRqt9e7v+su6Yc/f8DIXSPxXP7n8EmVT3TnFzmDEx064NaGjcisQsWlUyHjmKxPgOOq9dsoUC2k4B6oLUe7vSbAgdRrZLzBDYGb92+i4qyK2lU7X92JxPETu77DIbi3WQLkC38JPtOvH67Om48kxYohz5zZiBcS4jnzfXOBhW+G5yV5ukinbp5CvQX1NNvERib7Ebixfj1OdX1Hi+meotazyKEOaZID+YxOHFNjEiYTo3td4ORff0F9hN4MxbT601AyU8kYhktIqBvq/A6PPJyjCO7qAFVv5gozkK1V3oEbldDuJ8H9rZVvYcuZLfi0yqdonN9ioo+feD5+9AhHGj+H+0eOIGO3d5HhbRWOh8kpAY6rUbGQBx8UB4ERO0Zg6v6paFe0HXqU6YF/KlXGo8uXkXfxIiR54gnvQUUI7jOU4N7I+/uNvOOE8ryfpDzw/SS4T/lrCj7f+Tka52uMT6v6EO8+lrqeV3H0L6l4+qlfaI5sH/vXe95IxMGcN8fVYG59Y+tOwd1YvszdQgQ4kFqoMWxiyo37N1BplgoVo9KuV3chUfxYRM6xSpg/vz9cHM9XA3f//htHmzYD1AFqPm059FBwP33zNOouqEvB3SZ9zlU1bm7cGH6Q6v37SKG8mrJ/NQoh6hBeIxPH1Jh0ycTIHhdYectCpyx4Tm8wHSUylohivIit/1SshLDr17XF1qQlov4eo6a31EGpI1TcWkkDrmqxYS2V1irvwI0qlMzTahG4ofJ015k6rOqAzac321pwF0TXlv6E0++9h/jKyz0/vdxd9hqOq1HRkIfOAcZGtw/fMRzT9k9D+6Lt8W7RTjhYInxxt9DWLYifJo33Nf2+lvJwV7thX5kJPGGx3UUnlef9ROWBnzaP8nDf633dot3hENwb5WuEoVWH6s4vcgbXl6/AqW7dkKRIEeRduMCveTMzYwhwXDWGK3NVr+yPVSIIEggGAhxIg6GVza1jZMF996u7kTB+QtcGRBLcH+etjhPt2+P2lq1IWb8ecnz5pfeG75unPNzfcOvhfubmGdRZUAeJQhJhV+td3pfDOwKGwM1ff0No5854rA7iTV65MnJ8MwYhSWIJc6SzZhxTYwIkE52dyka3151fF6dvncbMBjNRLGOxKDW7s3cvjr38CkJSpUKhLZsRL76bEDE3LwCfFwjPw9KCu5qTGqrDU3Wmt1e/jd9O/YaPK3+M5wt4EWpNZ7lm3655uTdqjPtHjyov927Ky13FwGeKQYDjalQeRpNjAAAgAElEQVQk5MGHxEFg2PZhmH5gOt4o9gY6ZmiKw3XqIp567yu8Z7dal/VhYfa7Z4FTajeslQX3NLmBbvt0dwJZqJAFiwZ5G2BYNf2HfUc26P6JE+FtkTAhCu/aacquU91AgjwDjqtB3gEMrD4FdwPhMmtrEeBAaq32sIM11+9fR+VZlbWquBXcv1Gx3i8cUB7uP+LG8TCEqoON5EUs37JfkChHDu9xOAR3Jd6j7Y8u73cI7glDEmJ3693el8M7AorALXX4ohya9fjOHSQrXx45x36DkOSxHMaoo3YcU2PCIxMdHcpmt9aZXwdnbp3BrIazUDRD0Si1uzB2LC5+PRop1bkLOb7+yn3Nb55XgnvB8OsGXnN/vdlXrFPb8TcowaLs60CjkbpL77i6I3499SuGVB6CJgWa6M7PyhlcW7pUebn3/r+X+5rYD8+1ckUMtI3jalS45GFgZwuwrD/b/hlmHJiBN4u9idcfVsCJNm2RKHdu5F+x3LeafPeMEtyVc84rs5SHu8UOrD6pPO8nKg/8NLmU4P6Hb/WLdNf0/dMxbMcw1M9TH8Or6z/sO7JB4s/6T/kK4bvY5s9H0qJP6baXGRhLgOOqsXyDOXcK7sHc+kFWdw6kQdbgJlT32r1rqDK7ilaSiNkiartM/xfcH7dchCPvfq55tKV/43VkUoem+ZQ8FNzP3jqL2vNrI0FIAuxpvcenonhTYBG4vWsXTr75FsJu30bSUqWQc8J4xE+Z0u+V4JgaEymZ+L2bBWyGtebVwrnb5zC70Ww8lT7qx/axVq/ijnpOswwahLQvv+S+jpYX3NV2/A2f+U1w77ymMzaGbsTgSoPRtGBT93wC+ArNy71hI9w/dgwZu3dHhg7q4FmmKAQ4rkbtEOTBB8RB4NNtn2LW37PwVvG30CY0j7Z4J84WuadM9g3ShJrAaeWc02I2ULi+b3kYdVeo8rz/Xnng+0lwl4UKWbCol6ceRlTXf9h39GrLTuZbm7cgy8ABSPvKK0ZRYb5+IsBx1U8gmU0MAhTc2SmChgAH0qBpatMqGllwFzFbRG2X6f+C++V0PXBu7GzET5sW+Veu8F0I/WM+sEB5E+atpjzcl7osNkJwj6cE9zYU3E3rHHFckISsOCGiu/KuSfLUU8j5/XdIoPqcPxPH1Jg0ycSfPSyw83p23rM4f/s85jSagyLpi0RU5tHNm/ingjrT4+FD5F+9yrMdTjfOAV8UUnmoEAEDVQx3q6X1Smxfr0T3su2Vh7sPIdKi1afLmi7YELoBgyoNQrOC6qwTm6drP/6I073f12Iu51+9ml7u0dqb42pUIORh8wHBi+p9svUTzD44Gx2Kd8ArOxLjwsiRSP3888g2TI3JvqQIwX2OEtzr+ZKDcfeEKs/775UHfmrl4d5dv4f7zAMzMXT7UNTJXQdf1NAfCi16xc+P/BKXJkzgwanG9Qi/5sxx1a84mVkkAhTc2R2ChgAH0qBpatMqGllw/73174gfEksc3m/K49Gpgzi8uiAeXb+JzP37IV3Llr7b6qHgfu7WOdSaXwsJKLj7zjpA77x74IA6K+B1PLpyBYkLFkDOiRORMFMmv9WGY2pMlGTit+4V8Bk9M/cZXLhzAfMaz8MT6Z6IqM+NtWsR2qkzEubOhQIrVnhWzxtnleBeWF1rccG9TDug8SjP6hTLVV3XdsX6k+sxoOIAvFDoBd35WT2Dx2rxRfNyP34cGXv0QIa31OGzTBEEOK5G7QzkwYfDQeDjrR9jzsE56FiiI5r9eAlXZs5E+g4dkKl7N98gTaihPNyVc04LKwvuOZXg/qdv9Yt01+y/Z+OTbZ+gdu7aGFlDfyi06AZdX7UKp7q+g8SFCyPfksW67WUGxhLguGos32DOnYJ7MLd+kNWdA2mQNbgJ1b169yqqzqmqleSJ4H5+9SlcOpASifLl016+JIa7z8lLwT1+vPj4vc3vPhfHGwOTwL3Dh3GiXXs8PH8eCXPlQq5Jk5RHbXa/VIZjakyMZOKXrmWLTGrOrYmLdy5ifuP5KJxOxPLwdHbIx7gyYwbStmyBLP37e1bX62eAkUq0jxeiDk294tk9Zl61XsVvX6/iuJd5TQnuHsSkd2PbO2vfwbqT69C/Yn+8WOhFM2sSZ2VdW7IEp9/vQy93Jy3AcTUqFPKIs8fUcgUP2TIEc/+Zi04lOqHRd3/h5po1yDKgP9K2aOGbrePVuVBn1LdCy7lAobq+5WHUXRJbXmLMp1LnXvX4S3cpc/6eg4+3fYxauWrhy5r6d2ZFN+jB2bP4t4YK0aMORS+8cwdCkibVbTMzMI4Ax1Xj2AZ7zhTcg70HBFH9OZAGUWObVNUrd6+g2hwV0kWlvW32IkTEEBfpwdCyODztJh6HxUMOdWBeymfUS5ie5BDc8yjB/7WfXOYkIQ0ktIHYJjYyBR+B+ydPaqL7g9BQJMicWYnuE5E4f37dIDimxkRIJrq7lW0yqD6nOi7fvYwFzy1AobQSDiY8Ha5XX4vXnWOMOjS1ljoAzpMUIbirXVQDLntyh7nXbFAHzq37xG+Ce7d13bDmxBr0q9APLxX2IMa9ubU1pLTIXu4Z3umKjJ06GVJOIGbKcTVqq5FHIPZiY2wetGUQ5v8zH51Ldkbdwatx96+/9H1jjFffNGfUt0LLeUpwr2OM0b7mekrFlv9OfTv5SXCfe3AuhmwdgmdzPYtRNfXvzIpeLTk49VC1anh04SJyz5yBZKVL+1pz3mcCAY6rJkAO0iIouAdpwwdjtTmQBmOrG1tnEVNEVJG0r80+xIuntvu7SKeeL4brBx8iWfFCyDVHebfHcq1HVnsouF+4fQHPzHtGBSKIh31t93mUNS+yH4EH585p4WXuK493OT8g53ffIWnRqAc5eltrjqkxiZGJt73Ivtc7BPeFzy1EwbQFtYo+OHUK/z6rRHbl8VZo6xbPz/C4flp5uD8JyDkh/S9ZD9oGdeDcuo+B0m2B577WbV/3dd2x+sRq9C3fFy8/8bLu/AIlg2s//4zTPXshJEUK5F+10u/nbgQKh+h2clyNSoQ8ArUn+9/ugZsHYsGhBehSsgtqdpqGR5cuIe+ihUjypJovfEkOwb2VOieqYG1fcjDuHgl1IyFvUqldmj326y5n3j/zMHjLYNTMWRNfP6N/3nJm0MmOnXBz3Tpk/qAP0rVV8yOTZQlwXLVs0wS8YRTcA74JWQFPCXAg9ZQUr/OUwKU7l1Bjrnr5U+mPtq4P8Lm7fz+ONmuuXZdndF8krd3K0yJcX/fnAmC+OqDOjYe7hDSQ0AYU3PUjD/QcHqpY7ifVQap3//wTIcmTa15QycuX87laHFNjoiMTn7uT7W6sOrsqrt67isXPL0b+NOE7Sq7Mm4ez/fojaalSyDNrpud1vnYK+FIdvGp5wb2NEtxHe14vF1f2WN8Dq46vwoflP0SLJ3wMjaDbCvMzeBwWhqPNX8A9df5Guvbtkbn3e+YbYcESOa5GbRTysGAnjSOTBmwegIWHFuLdop1QuVW4aFxwy2bfF+vGqV2zZ5VzjpUF95TZgJ4HdBNf8M8CDNwyEDVy1sDoZ/TPW84MuqDesy9+PRqpGjVC9s/VwjSTZQlwXLVs0wS8YRTcA74JWQFPCXAg9ZQUr/OUgCeCu2wpPKE+nG9v2YpUuW8j+/gZSiSv4mkRrq/zUnCXjGJbFNBvEHMIBAKPbt7UDmy8vX074iVKhOxfjkTKZ5/1yXSOqTGxkYlPXcmWN1WZXQVysPaS55cgX5p8Wh1Du3XHjeXLkaFLF2Ts0tnzel8LVYK72pESos796H/R8/vMunKjEhLWKg/3Uq2B58foLrXn+p5YeXwlPij3AVo+qeNwcd2WmJ/BzQ0bcLLD24iXODHyr1yBhCoMWLAnjqtRewB5BPsT8V/9+//WH4v+XYTe2V9D2S7fa+91hff+7vsu2nHq++SsciBqpZx6CnoY8sys5jitYstPULuKU2ZVgvvfukuVhQpZsKieozrGPKt/3nJm0M1NmzRHl0S5cyP/iuW6bWYGxhHguGoc22DPmYJ7sPeAIKo/B9IgamyTqurwHpfiXInZjpctCe+er8E5JOryIwV3k9qHxTgnEHbvHk716KkdroWQEGQdMgRpmjfzGhfH1JjIyMTrbmTbGyrNqoQb92/gxyY/Im/qvOr8jjAcqlQZj65eVfFcZ6p4rqU8r7tDcI+fCOh3wfP7zLpy4+dKcB/iN8H9vQ3vYfmx5ehTrg9aPemHHWFmcfBDObJIf/zV1rizaxfSvPwysg4a6IdcAzsLjqsU3AO7Bxtnfd9f+2LJ4SXol/QFFOs/Gwlz5UIBtVDnc/pWCe7nlOD+qhLcC1hMcJfY8hLyxk+C+6JDi9B/c39Uy1EN3zz7jc/IYrtRdpYeqlhJu6TQ9m2InyqVIeUwU/0EOM/oZ8gcnBOg4M6eETQEOJAGTVObVlF34VoeP3qEo02b4d4//yBdyQTI/MQJdcDpL0pwr6zfxj8XqpAy7YDc6uW43c8u84vshe8uzrx+o5hDoBCQA/rOqNAW1xYtQryECZF/+TIkzK7iYnqROKbGhEUmXnQgm19aaaYS3B/cwNImS5EndR7cVWFCZD4ISZYMhbZt1Z47j9PVk8Cooir2e2IluJ/3+DbTLtz0BbBmsBLcX1Ue7vqFi94bemPZsWV4/+n38WoRlWeQpds7d2qiOxIkQP6ff9K8I4M5cVyN2vrkEcxPQ9S6f/TrR/jx8I/4+E49FBr1E5KVK4fcU6f4DihCcFffGAV82/3oe+Fu7jyjQt2MVyFvUmQBeh3UXczifxej32/9UCV7FXxb61vd+bnK4N9atfEgNBS5Jk1E8krh4juT9QhwXLVem9jFIgrudmlJ1sMtAQ6kbhHxAi8JOA4kDVHu63vbKM+LaOnq4sU40+cDhCiPhgIvPkT8W/+aLrhHPthVbBRbmUhACIgn5fnPP0eSIkWQumFDr6FwTI2JjEy87ka2vaHCzAq49eAWfm76M3KlyoVLP0zG+WHDkLx6NeQaP967el9Vi7WjiikBNgnQ95x395px9aaRSnAfBJRU4ngT/YL7+xvfxy9Hf8F7Zd9Dm6dUXPggTCfeegu3Nm5i7F/V9hxXoz4A5BGEA4KLKn+46UMsPbIUn5+sglzT1yPVc42Rffhw3wF9qxyCzv0JtF4E5H/G93yMuFNC3UjImxQqzFavf3SXIAsVsmBROXtljKs1Tnd+rjII7a5CyS1bjozqvxk6vGVYOcxYHwGOq/r48W7XBCi4s3cEDQEOpEHT1KZV1CG4x48XH7+3UbEFIyUJ23G4fn08PH0GmXr1RPo76mXu0iHljb5MeaX7wcPhL/UyPO81tx7uV+5eQbU5agumShTcTesaQVEQx9SYzUwmQdH1PapkuRnlcOfhHfzS9BfkTJUTJ9/uiJvr1yNT795I317tTvImXTkOfFU8AAR3Ff6lyVhvaub02j6b+uDnIz+jV9leaPtUW935BWIGEYetx4uHvIsXIUnhwoFYDb/YzHE1Kkby8Eu3skUmjrHy670lkOWXXUj/5pvI1LOH73Ubq75Pzv9lbcE9eSbgPfU9pTMtPbwUH/76ISplq4Txtb1cBPei7EsTJ+H8iBFIWbsWcow25nBWL8zhpS4IcFxl1zCKAAV3o8gyX8sR4EBquSYJeIPO3z6PZ+c9iwTxEmBPmz1R6nNp0g84r7xMEmTJooXrCPlOeY1cUh7ufhfcVb7tVJgaF+nq3auoOkdtwVTp99a/I35I/IDnzgpYgwDH1JjtQCbW6JtWsMIhuC9rtgzZk2bBP+UrIOzWLeRduEDbVeJVihDckyoP97Ne3WrKxb9+CaweqDzc/SO4O7w2e5bpideKvmZKFaxYyKkePXD9l2VIUaMGco4zLuSBFese2SaOq1FbiDys3mPNs8+xG2j82nxIu+0fZO7XF+la6Tj3YmxFJbjvV4L7YuXhXtO8inhS0lnleT9OffP4SXD/6chP+GDTB6iYtSIm1JngiQU+XXNr+3acaNMWCdQB2AU3rPcpD95kPAGOq8YzDtYSKLgHa8sHYb05kAZhoxtc5XO3zqHW/FoxBPdH167h3zp1Eab+m/XTT5GmWVNgdJk4F9z3tN6DBCEJDKbC7IOFAMfUmC1NJsHS+93Xs+z0srj36B6WN1+OdIcv4tjLryAkdWoU2rIZ8dRhxV6lK8eUh3sJIGEy4KMzXt1qysW/jlKC+wCgREugqX5h2BGXuHuZ7mhftL0pVbBiIfeOHsWRRo0BdR5MrilTkLx8OSuaabhNHFcpuBveyQK0AMd5Fz/My4jk/55Bjm/GIOWzOmKvOwT3NkuAfDWsReWc8rz/VnngJ8+oPNyVA5POJLuoZIdA+azl8X2d73Xm5vr2sNu3cfBpNXarcbzAurVImDWrYWUxY98JcJ7xnR3vjJ0ABXf2kKAhwIE0aJratIqevXUWtefX1kRsEbMd6fwXX+DSd98jccECaiv4YsSLr7zKvy4NXD6svNGXqzAwyoNEb/pLeZ/MU1vtc6mXz/YqTI2LdO3eNVSZrWIeqrS79W4kDPHioD69NvJ+WxPgmBqzecnE1l3eq8qVmVYG98PuY2XzlUg4YykufPml71vKLx9Vc0hJJbgnV4L7aa/sMOXi374CVvVXgnsLJbjrj4Xb99e+WHJ4CbqV7obXi71uShWsWsjZwUNwZeZMbVdEnvnzvF+ssWrFvLCL42pUWOThReex+aXvbXgPy48tx4xxSZDwyk3kWTAfSZ96yvdaf1MBuHAAaPOjEtyr+56PEXeeU57336rvp2QZgN7qe0pnWnZ0GXpv7I3yWZTgXtc4wV3MPNqsOSRMWPYvRyKVCjfKZD0CHFet1yZ2sYiCu11akvVwS4ADqVtEvMBLAg7BXURsEbMlPTh3DoeVd/tjFcM9x7djkbLm/7dkUnD3ki4vtzoBjqkxW4hMrN5rzbOv1LRSeBj2EKteWIX7XT/Erc1bkLmv2u7/qg/b/S8fUYJ7KesL7sVfAZrpj4Xb77d+WPzvYrxb+l28UewN8xrNgiU9vHwZh2vX0cIRZRv2GVI//7wFrTTWJI6rUfmSh7H9LZBy77m+J9YcWYGZIx4h3mOg4G+/IkH69L5X4ZvySnD/2+KCu6pfbzUn6kzLjy7Hexvfw9NZnsakupN05hb77Y6F03Rt2yDzBx8YWhYz940Ax1XfuPEu9wQouLtnxCtsQoADqU0a0kLVcAjuiUISYVfrXZplZ/oPwNW5c5G0dGnknjEd8dSBZ1pyCO7tVyivdOVBojftV9s957Zx6+F+/f51VJ6lYh6qtPtV5eEenx7uetHz/nACHFNj9gQy4dPhIFBqqhLcHyvB/blfcLVGY20RNt9PS5G4QAHvIV1S3nyj1S6pRCmAD095f7/Rd/z2tfJw7wcUf1kJ7vpj4Q7YPAALDy3EO6XewZvF3zTaesvnf3HCd7gwcuR/Z8IkSWJ5m/1pIMfVqDTJw5+9K7Dz6rG+B/bsW4mxY5XgnjAhCu/9Xd8umDEq9MnFg0DbpUDeataCc1553o9V309J0wHvq11fOtOKYyvQa0MvlM1cFj/U+0FnbrHffm3pTzj93ntIUrw48s6dY2hZzNw3AhxXfePGu9wToODunhGvsAkBDqQ2aUgLVePMzTOos6AOHIL7vSMq3mrj8HirIrYnK6PitjuSeCeKl6LfBXe1vbK9ClPjIkUW3He9uguJ4ieyEEGaEsgEOKbGbD0yCeQe7V/bS0wtgbDHYViRbySuvfkO4mfIgIKbNv63COtNcRGCe0oluId6c6c5124eDazs6zfBfeDmgVhwaAG6lOyCDiU6mFMHC5cSdvcuDjdogIenzyBj9+7I0OEtC1vrf9M4rkZlSh7+72OBmmP3dd1xcvMqDJn2CAlz5ECB1av0VSVCcP9JCe5V9eXl77vPK8/7scoD30+C+6rjqyALFqUzlcaU+lP8bW2U/O6HhuJwrdpql5paFNmxHSFBtmhqKFw/Zc5x1U8gmU0MAhTc2SmChgAH0qBpatMqevrmadRdUBeJ4yfGzld3IrRbd9xYvhwpatRAznHRDo6LI8H9xv0bqDRLxXlXSWwUW5lIwB8EOKbGpEgm/uhZ9sij+JTieKz+99OlV3F7wmSkatgQ2b/43LfKOQT3xKmAD076loeRd20eowT3j4BiLwHNv9Nd0qAtgzD/n/noXLIz3i7xtu787JDBtaVLlYdkb4QkT478K1foCxsRYEA4rkZtMPIIsA5soLnd1nXDneWr0G1JGJKVLYvc06fpK23M08rD/R/gtZ+BPOHnP1kmXVCe998oD/ykaZWH+zHdZq0+vhrd13c3RXB//PgxDlWrhkcXLsZ0yNJdE2bgDwIcV/1BkXk4I0DBnf0iaAhwIA2apjatoqdunkK9BfWQJH4SbCw5GcdeeAHKfVEdlLoISQoXjmrHV+rAuytqC2T7lSoMjPLQ0Jv2qwON5rYGcqrtla+rMDUu0s37N1FxVvghrTta7UCSBMG1FV0vZt7vmgDH1JhsyIRPjINAsSnFtP+7aHkRPNizD1mGDEbaF1/0DdDFf4ExaseU5QV3Vb/m+g+fG7JlCOb+MxedSnRCx5IdfWNms7seh4Xh2Esv4+6ffyJNi1eQdcAAm9WQc42nDcp5xlNS9r/unbXvIMX8NWi9NgypGjVC9s9H6Kv06LLApUPWFtyTpAH6HNdXT3X3mhNrIAsWJTOWxLQGOhcqPLAmtGtX3Fi1Gpne64X0rwf3YeAe4DL9Eo6rpiMPmgIpuAdNU7OiHEjZB/xNwCG4J02QFPPXlcCtX39FKhVSJvuI4TGLiiPB/daDW6gwMzxmPAV3f/eA4M6PYyoF9+B+AlzXXrzZik8tjsT3H2PaV+q6h4+Qf9VKJMqZ0zdkF5UAMkYJIYlTKw/3E77lYeRdW74BVnwIFFWLzi9M1F3Sx1s/xpyDc9CxREd0KtlJd352yeDW9u040aYtED8+8v24BInz57dL1WKtB+eaqHjIIyi6vUeV7Lq2K3JPWoOGOx8j/RuvI1OvXh7d5/Ki0Wph95Ja4H3tF+XhHn7+k2XSBeV5/43ywE+i5sE++ufBtSfW4t1176JExhKY3mC64dW8NHEizo/4HClqPYucY9SuMCZLEeC4aqnmsJUxFNxt1ZysTGwEOJCyf/ibQOiNUNRfWB8lTyXEh1PvAAkSIP8vPyNRrlwxi3II7q+r+Io51ZZIvemAOtBozqtuPdxvP7iN8jPDPeq3t9oOWRxgIgF/EOCYGpMimfijZwV+Ho/CHqHktJIocSQMH80JQ4JsWVFgzRrf4rcLDofg7iehwe+Et4xVgvsHfhPcP9n6CWYfnI0OxTugS6kufjc3kDM82bkLbqq+lLxaVeSaoP+A2kBgwXE1aiuRRyD0WnNs7LKmC8p8vRYVDj5G5o8+QrrW6rtAT3II7u2WAbnDw1FaJvl5Hlx/cj1kwaJ4huKY0XCG4dW8vXs3jrdspe88F8OtDN4COK4Gb9sbXXMK7kYTZv6WIcCB1DJNYRtDTt44iQYL6uOT6Y9RMDQs9m3eX5VQIWWOqfAv/hbclZj+ugpT4yJFFty3tdyGZAmT2YY/KxK3BDimxuRPJnHbJ61S+sOwhyg1rRRarnuEJlsfI3XTpsg29FPfzYvw7PPPVnrfDXFx51Z1ZsnyPkpwb6483Cfpzv7TbZ9i1t+z8Fbxt9C1VFfd+dkpg3tH1eHszz0PPHiAHOqsmJTqzBi7J46rUVuYPOze4z2vX+c1nVHnk7UodBrIMWY0Utaq5fnNzq78ujRw+TDQbrkS3MPDUVomRYRW889Orw0nN6DL2i4olqEYZjacaXg1w+7dw8GyykNfjd26drwZbmlwFsBxNTjb3YxaU3A3gzLLsAQBDqSWaAZbGXHy+kn0HV4PfeaHIZ46cV4OMkuYKZPzOlJwt1XbszIAx9SYvYBM+GQIgQePHqD09NL4dPJDFDgDZBv2GVI/r0RSX5PjsDg/xa711QyX9zkE96eaAS/+oDv7z7Z/hhkHZuDNYm/indLv6M7PbhmcGz4ClydNQqLcuZFv6Y+IlyiR3aoYpT4cV6M2L3nYurt7VbmOqzvi1T7rke6migAzbx6SFivq1f0xLv66lBLcj1hccPfP4eEbQzdCFiyeSv8UZjearY+bh3cffVmdw7F3H7Kp0KOpVQhSJusQ4LhqnbawmyUU3O3WoibU55tvvsGIESNw9uxZlChRAqNHj0a5cq5DZMxTLwD9+vXDsWPHULBgQQwbNgwNGjSIsFRinQ5Qhz999913uHr1KipXroxvv/1Wu9aRLl++jK7qsJGlS5ciJCQEzZs3x1dffYUUKVJ4XGMOpB6j4oUeEjh+9Rj2P1cfec7DfezEUcWBq+qQn9dXqzAwysNBbzrwkwop00q5tKhn7w3lNe8i3Xl4B+VmhD+fW1tuRfKEyfWWzPtJQCNg9JgaiHON0UzY9QKDwP1H91H1+9KYNOoRQh4DBdavQ8IsWXw3/vzfwFi1mylpWuD9Y77nY9SdW8cpD/f3gaeaKsF9su5Shm0fhukHpuONYm/g3dLv6s7Pbhk8unkTh+vVx6OLF4PiAD4jx1XOM3Z7OoKrPp1WvIXO725CiKp2wU0bkSBjRn0AIs6bWgHkCj//yTLpkvK8H6088BOlBD4M1W3WptBN6LSmE4qkL4I5jebozs+TDM4NHYrLU6YibcuWyNK/nye38BqTCBg5z5hUBRZjUQIU3C3aMFY1a86cOWjTpg3GjRuH8uXLY9SoURBB/eDBg8jkxLN38+bNqFatGoaqCaaROj195syZmuC+W8UxK1o0fBVe/i6/T5kyBXnz5tXE+T/++AP79+9HEuU1LKl+/fo4c+YMxo8fr3ZiPUC7du3w9NNPa/l5mjiQekqK13lK4MiCabj30ae4nRgosX4zEqRVYoirFEeC+92Hd/H0jMJ5+XkAACAASURBVHCBn4K7py3L6zwhYOSYGqhzjZFMPGkTXmMNAjLuvj2wDN5Xu58S5MmFgsuVeKEnRQju6ZTgflRPTsbcu208sKy33wT34TuGY9r+aWhftD26l+lujM0BnuvVhYtw5sMPEZI8OfIvX6ZfaLMwD6PGVc4zFm50muYRgd4z26Dd4B0IS5gARfbuRTzllKYrRQjuKlRlrvDznyyT/Cy4/3bqN7y9+m08me5JzG0815RqXl++HKe6dUfiwoWRb8liU8pkIZ4RMGqe8ax0XmVnAhTc7dy6BtRNRHYRusf8/3TtsLAw5MyZU/M+79NHxe+Mll5WW6du3bqFn35S3rj/TxUqVEDJkiU10V6827Nly4aePXui1/9PVr927RoyZ86MyZMn45VXXsGBAwdQpEgR7NixA2XLltVyWa4mLPGSDw0N1e73JHEg9YQSr/GUwOOHD3GwYX08Ph6KxdWT4IPxe2K/1d+C+98/A7NbuvVwjyy4b2mxBSkSeb4rxFMWvC44CRg5pgbqXGMkk+DsZYFZa9lZNLlFGdT44zFSvNQcOQd/rK8i5w8oD3flbZgsPdBbbfe3WtqmDu9c9h5QpAnw0hTd1o3YMQJT909Fu6Lt0KNMD9352TGDx+r9+9grLXB33z79ZwRYHJBR4yrnGYs3PM1zS2D48GZoPOkA7hbIjlI/qR20epO/w1/qtSfy/RLqRkLeyHfMh6d057z51GZ0WN0BT6R7AvMaz9OdnycZPLx0CYcqV9EuLbjFjaOWJxnyGr8RMGqe8ZuBzChgCVBwD9imM9/w+/fvI1myZJg/fz6aNFEfVf9Pbdu21ULBLFmyJIZRuXLlQo8ePdCtW7eI3yR8zOLFi7FXrcQfOXIE+fPnx549ezQR3pGqV6+u/V3CxkxScSpFkL9y5UrE7w+V2Cne7+Jd31QdRuZJ0jOQXlQhbpg8I7Dz3C7Ih6Bl082zwMN7us1Lcvk+suy8iBtqE0afzkmwtpASv2NLW0YDd6+p8C9rlEgevnCkKzkE91TZgTLtXGZ1L+wRyp6Yof3+ZupiSBwvvq5iI25OpjwtMxXxT14G5CILC62eVCF3mAwjoGdMjc2oQJ5r9DBZtWkKHq7aYFh72TZjCdVlsRRy+yFy/apijamUpXsdpH0ihz4Lb6m8titR2+qCe8Ynww9O1Zm+uLwTk6/vR6nEGVE5qZrjrJbS5ALkTxynlIfOoFTf8FAIZ6sXwd3M6jBBi6b7aZKj4tv9kCmZi3NuYrFbz7jqKttgnWcObV2Bf38xJ3yGRbuib2bdvgDcv+3bvQbelXznWWS8HIbr5bKg/Ov/hWv1ucgtY9S3ylUV/lKFqszpOlysz/nrudEhuIckBKqrEGY605Y7p/HWudVIH5IELVI9oTM3z28v/dVfSHH6Di4XSoXreWJxgkqgtk+n0BGKznOTbHVlzmr1ULTWS17XyYh5xmsjeIMtCVBwt2WzGlOp06dPI3v27JAwMRUr/ndyee/evbFhwwZs27YtRsGJ1EFOEiqmRYsWEb+NHTsWgwYNwrlz57S8JGa75J01a9aIa1566SXEixcPst3z008/1fKQsDWRk4SwkXw6duzotML31Gng8seRZCAVb3zxoE+VSh244kU68IT6iGQiAScEptcMwdayYVhz8rRnfDpuBjI/5dm1sV11eC0wzf1i00OVR7k8OfFAPU/BlLImz4qVL6gtsUyGETDq5TSQ5hp/zjMjRr6ERhP+MKy9mLH5BH5+Oh7ezX8KSh7wT0qtRN7uFuwje9Si7pJO/qmjymVsmtT4Nq11xWO/VdQPGbVa9wjPb1UHBVg8HckM5F4wD0UzeH+ooxFzTbDOM7+O6Yf0Y+ZbvLfQPG8JXK59A5XT3/D2NtfXv/2bWi32/ln1nwFOcrpxDviikN+K+D1xIrTOZr6gXX1fGDr/bGHHNL8RjpuMzrxcFc8MUg4KXiYj5hkvTeDlNiVAwd2mDWtEtQLp5VTqP3DgQE2Qj558EdzP9OtvBFJb5rnn/B6EPbbwi8Sdy8CjB35hfzdFfOyvmgo1lMdWtYRqq7+7lL4AUKkr1GqSuyvd/y512DRSnVzpflvl8vvnsfWBqrc/k3i4ZzTPI8Rb01MnTs3Yv95C8/J6o15OA2mu8ec8s/CXkUi0WO2AYfKOwE31EW7BdD1DQqStlAP1k/3nTKDbzCLPqxNYn9Wdjd8zuHsd+G0UcOuiX7K+EHYPk++exK3HsmRswZQmJ5Ba/bFIyvDPBeTafgIhD6377nU7fTJU/mgUsqfwfseCEXNNsM4zf62cg6Pzp1qk5waQGbJDVZ3NYcV0P0cyNKzsxx2s/vxW8TewnZOA07/7JdcwFdZ24t3jOBVmcruqcvPsvY0MJ93sto6fKPygdCavCGSt2xhlmr/t1T1ysRHzjNdG8AZbEqDgbstmNaZSgbb90p+eh8YQZa4kQAIkELgEjHo5DaS5hvNM4PZfWk4CJBAYBIyYazjPBEbb00oSIAESMIOAEfOMGXazDOsToOBu/TaylIVywFC5cuUwerSKR62SHJoqcdq7dOni8tDU27dvY+nSpRH1qFSpEooXLx7l0FQ5MFXitEuSAU/CxUQ/NHXnzp0oU6aMds3KlStRr149Hppqqd5BY0iABIKJgJEvp4E61xjJJJj6FutKAiRAAg4CRo2rnGfYx0iABEiABBz6U+rUqX0KPUyCJBAbAQru7B9eEZCY6nJI6vjx4zXhfdSoUZg7dy7+/vtvZM6cGW3atNHivA8dOlTLV2K0ywGon332GRo2bIjZs2drMdl3796NokXDY8MNGzZM+13itOfNmxf9+vXDvn37sH//fu1gVEn169fXYr6PGzcODx48QLt27VC2bFnMnDnTY/uNemH32ABeSAIkQAI2ImDkmBqoc42RTGzUdVgVEiABEvCYgFHjKucZj5uAF5IACZCArQkYNc/YGhor5xEBCu4eYeJFkQmMGTMGI0aMwNmzZ1GyZEl8/fXXEC8RSTVq1ECePHk073RHmjdvHvr27Ytjx46hYMGCGD58OBo0+O8k9ccqltmAAQMwYcIEXL16FVWqVIEcrFqo0H8Ho1y+fFnzohdP+ZCQEDRv3lwrN0WKWE73jtZsHEjZj0mABEjAfwSMHlMDca4xmon/Wo85kQAJkEBgEDByXOU8Exh9gFaSAAmQgJEEjJxnjLSbeVufAAV367cRLfQTAQ6kfgLJbEiABEhAEeCYGrMbkAkfDRIgARLwLwGOq1F5kod/+xdzIwESIAGOq+wDRhGg4G4UWeZrOQIcSC3XJDSIBEgggAlwTKXgHsDdl6aTAAkECAHONRTcA6Sr0kwSIIEAJcB5JkAbLgDMpuAeAI1EE/1DgAOpfzgyFxIgARIQAhxTKbjzSSABEiABowlwrqHgbnQfY/4kQALBTYDzTHC3v5G1p+BuJF3mbSkCHEgt1Rw0hgRIIMAJcEyl4B7gXZjmkwAJBAABzjUU3AOgm9JEEiCBACbAeSaAG8/iplNwt3gD0Tz/EeBA6j+WzIkESIAEOKZScOdTQAIkQAJGE+BcQ8Hd6D7G/EmABIKbAOeZ4G5/I2tPwd1IuszbUgQ4kFqqOWgMCZBAgBPgmErBPcC7MM0nARIIAAKcayi4B0A3pYkkQAIBTIDzTAA3nsVNp+Bu8Qaief4jwIHUfyyZEwmQAAlwTKXgzqeABEiABIwmwLmGgrvRfYz5kwAJBDcBzjPB3f5G1p6Cu5F0mbelCHAgtVRz0BgSIIEAJ8AxlYJ7gHdhmk8CJBAABDjXUHAPgG5KE0mABAKYAOeZAG48i5tOwd3iDUTz/EeAA6n/WDInEiABEuCYSsGdTwEJkAAJGE2Acw0Fd6P7GPMnARIIbgKcZ4K7/Y2sPQV3I+kyb0sRuHbtGtKkSYOTJ08iVapUlrKNxpAACZBAoBGQl9OcOXPi6tWrSJ06daCZb4i9nGcMwcpMSYAEgpgA55qojc95JogfBladBEjAEAKcZwzBykwVAQru7AZBQyA0NFQTh5hIgARIgAT8R0AWMXPkyOG/DAM4J84zAdx4NJ0ESMDSBDjXhDcP5xlLd1MaRwIkEMAEOM8EcONZ1HQK7hZtGJrlfwJhYWE4ffo0UqZMiXjx4vmlAMdqaKB7zbMefukOfsmEbeEXjH7LhO3hGuXjx49x48YNZMuWDSEhIX5jHsgZGTHPOOMR6P0y0O2XNgn0OtD+uB1pyN9z/pxrorLyxzwT6P3P897jvyvJzHuWZEZm3hPw/g5/9DPOM95z5x2eEaDg7hknXkUCTgnYJd4X62GdDs62sE5bOEQ1CZciW7gDORSVXfqVtXpH3FkT6O0Z6PbbYWwI9Dag/XE3/tih/8ctvbgvPdCfn7ggSGbeUyczMvOegPd3sJ95z4x3mEeAgrt5rFmSDQnYZYBnPazTOdkW1mkLO4kKdulX1uodcWdNoLdnoNtvh7Eh0NuA9sfd+GOH/h+39OK+9EB/fuKCIJl5T53MyMx7At7fwX7mPTPeYR4BCu7msWZJNiRglwGe9bBO52RbWKct7CQq2KVfWat3xJ01gd6egW6/HcaGQG8D2h93448d+n/c0ov70gP9+YkLgmTmPXUyIzPvCXh/B/uZ98x4h3kEKLibx5ol2ZDAvXv3MHToUHzwwQdInDhxwNaQ9bBO07EtrNMWYgnbw1rtQWvCCQR6vwx0+9kGcf8kBnofov1x34eC2YJA739x0XZk5j11MiMz7wl4fwf7mffMeId5BCi4m8eaJZEACZAACZAACZAACZAACZAACZAACZAACZAACZAACdiYAAV3Gzcuq0YCJEACJEACJEACJEACJEACJEACJEACJEACJEACJGAeAQru5rFmSSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAjYmQMHdxo3LqpEACZAACZAACZAACZAACZAACZAACZAACZAACZAACZhHgIK7eaxZEgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgI0JUHC3ceOyavoJXL58GV27dsXSpUsREhKC5s2b46uvvkKKFCmcZn7s2DHkzZvX6W9z587Fiy++qP0WL168GNfMmjULr7zyin6jneTgbT0kixo1amDDhg1RcuvQoQPGjRsX8W8nTpxAx44dsW7dOo1J27ZtMXToUCRIkMAS9ZB6DxgwACtXroTYmjFjRjRp0gRDhgxB6tSpI2w0uj2++eYbjBgxAmfPnkWJEiUwevRolCtXziWjefPmoV+/fpD+VLBgQQwbNgwNGjSIuP7x48davb777jtcvXoVlStXxrfffqtda2Typh5i29SpU/Hnn39qJpUpUwaffvpplHq/9tprmDJlShST69ati+XLlxtZDXhTj8mTJ6Ndu3ZR7EmcODHu3r0bUO3h7HmWCki/+vnnn7W6xFV7GNrYNsr8k08+0drq999/R6JEibRn312yUpv6Yn9cjXXOuBo1j7prQz2/ezPWSTnu5h49tvhyrzf2ezJW+2KDr/ds3LhRm/d37dqFM2fOYNGiRdr7R2xp/fr16NGjB/766y/kzJkTffv21cbluEje2i+216xZM4apUvcsWbLERRVYppcE7t27h/Lly2Pv3r3Ys2cPSpYs6WUOwXG5vJvLd8TatWu19/ps2bLh1VdfxUcffaTNzUz/EfBmDA92bvL9vHDhQvz9999ImjQpKlWqpH3/FS5cONjReFT/zz77DB988AHeffddjBo1yqN7eBEJmEGAgrsZlFlGwBKoX7++9qE0fvx4PHjwQBPenn76acycOdNpnR49eoQLFy5E+W3ChAnaR5fk4xDqReD94YcfUK9evYhr06RJgyRJkhjCytt6iBEi0BUqVAiDBw+OsClZsmRIlSqV9nepq7yMy4eUo35t2rTBm2++qQmrRiRv6yFirwjT8sFapEgRHD9+HG+//TaKFy+O+fPnR5hoZHvMmTMHwkUWKuRDRl4CRNQ4ePAgMmXKFAPT5s2bUa1aNW3holGjRlpfkxeu3bt3o2jRotr18nf5XcRqWeARcf6PP/7A/v37DetD3tajVatW2kKAvDBKvxabRXAQISF79uxaPaRdzp07pz0LjiRidtq0aY3oPlqe3tZDRBx5eZP2ciTpL5kzZ474eyC0h4iF9+/fj7D50qVL2uLP999/HyHoxEV7GNbQNsxYxjKZJ0JDQzFx4kSPBXeznzFX6H2xPy6eLVf2ezv/eDKPGtlNvR3rPJl7jLQ3et7e2u/JWG2m/cuWLcNvv/2mLTY3a9bMreB+9OhRbY6Xd5Q33ngDa9asQbdu3bRFNlmINjt5a79DcJe50vGeKDbLe444rDBZn4C86xw6dAjS9hTcXbeXOIXI+NSiRQsUKFBAcyyRb5/WrVvj888/t35Dm2Sht2O4SWZZthjRBMTxTnSGhw8f4sMPP9T6lnzbJU+e3LJ2W8GwHTt24KWXXtLmHln4peBuhVahDRG6gfIeekwcJEACMQkcOHBAE2llEC9btqx2gbxkiUeoCB7i0eBJKlWqFEqXLq0JJBEPnhLsPPF28iR/d9f4Wg8R3EVQdzVpyQu5CMKnT5+OEB9FVH7//fe1RQd/e3n4Wo/ofETsFk+UW7duRXjii4BqVHuIyC4vT2PGjNFMCQsL0zzXZOdEnz59YjTfyy+/rNn2008/RfxWoUIFrS2ErwzZ0vd69uyJXr16addcu3ZNawMRHIzaJeFtPaJXTBZoREgXDrIAIUkEXvHSXbx4sbtu7Lffva2HMBXRw5U3caC2hzzX/fv31xYCHS/ycdEefmvYIMrIXZ+MjMKKbeqp/XH1bDnrSr7OP+7mUSO7rbdjnbu5x0hbneXtrf2e9iuz6yHlefKOIe9OIq47doXJfTKfy9xj9K4vd0w8sd8huF+5ckVbGGQKLALyTi+7KxYsWICnnnqKgruXzSeOR7LT9MiRI17ead/LvR3D7UvCt5rJt7QsWMpuc3HEYnJO4ObNm5rOMnbsWHz88cexahdkSAJxQYAe7nFBnWUGBIFJkyZpoqZ8PDiSrDiLt66Itk2bNnVbD9lKLGK9eDmJp68jyceLiKayfTNfvnyaR5N4zzsLbeK2EDcX+FoPEQrEG1lED/Fib9y4seZJLV7ukkSs+/HHH7XwBo4kHlpSH/HGloUGfyZf6xHdBvHolS1nkXciGNUe4lEsvMSbPvJWcgm9Ix/RS5YsiYEoV65c2kePiLyOJJ6hIkrLNl95mc+fP3+Mj6Hq1atrLxkS8sjfyZd6RLfhxo0b2oujPDuyUCNJxECplyzOiBj/zDPPaC9L6dOn93cVtPx8qYeIOOJtKF75slgiL3Wyg0M+SCUFansUK1YMFStWhOzAcSSz28OQRg6CTL0RFq3Ypp7aHxfPlqvu4+v8424eNaq7+jLWuZt7jLLVWb6+2O9urDbT/uhleSJYi6Ai80tkJwfZ/SXvArKoHpfJE/sdgnvu3Lm1d1vx1h84cKC2043J2gRkF5TsxJD3sQwZMmg7J+nh7l2bSfgnWRjbuXOndzfa9GpfxnCbovC5Wv/++68WKlR2MDt2OPucmY1vlG/qdOnS4csvv9R258fmLGhjDKyahQlQcLdw49C0uCUgopqE7IgcSkIsEtFw0KBBWuxyd6lTp06QjxDZDhY5Sew/ERdFjJX44iKoDh8+HO+88467LL3+3dd6iBAnH06yMLBv3z7Nc13ijkt8OUlvvfWWFqJlxYoVETbdvn1b85b95ZdfINvv/Zl8rUdkGy5evKh9VIiHu8QTdiSj2kO8/0Wola36Im46Uu/evTWPhW3btsVAJOKz9DvZqupIsmovfU4+iiQv+YCVvLNmzRpxjWylk49i2cLp7+RLPaLbIM+C9BVZxHGETpo9e7b2DMjH3eHDh7XtkxJ2acuWLYgfP76/q6Ex87Y9xBbZYi1hiET0kO3CEttW6pEjR46AbI/t27dr4Y2k/0U+S8Ds9vB7AwdJhp4K1oLDim3qqf1xMda56kK+zj/u5lGjuqwvY527uccoW53l64v97sZqM+2PXpYngrWE8BPHC3EIcCR5l2rYsCHk3Upi+sZV8sR+eVeW911xMhHBXZwbpk2bps0zspDAZE0C4lQjO3flvVJEY8dZVBTcPW8vEUbl20LeDyW0DBN8et8mt/8IiIPPc889pzln/frrr0TjgoC848r3vEQjkG9LCu7sKlYkQMHdiq1CmwwlIGE8JC5sbEm2j4uwrEdwv3PnjiaIile4eMrHlsRbXDyZTp486XHdzaqHwyA5HOjZZ5+FvFiKh7W/BHez6nH9+nXUrl1bWwUXz/yECRO6ZO1Le/hLNHAnesSFCOWL+BGZhxxkIwtK8jEuwrWr5PBoXb16tdbX/J301kPskbMcnnzySW1BRBZqArE95PBjEadkIS22ZHR7+Lt9AzE/T8e/J554IqJ6ngrWznj4u02NtN+MZ8tT+/W+D7iaR43qs76Mde7mHqNs9dfcGT2f6GO1mfZHL8sTwTrQBXdnfGXnneycEOGdyVwCno5t4vQzd+5czQlEHB2CWXD3lFnk+fjUqVOQfi5CnywyMYUT8GUOIrv/CIhTn4R5ErFdnHuYYhIQzUQWeFetWhXxbUnBnT3FigQouFuxVWiToQQklIgcGBhbkrAo06dP1xVSRj4wXn/9dcjLWMaMGWMtT+J2SpiNu3fvQg6N9CSZVQ+HLRJXXLyPZcukHODlr5AyZtRDwpmIzeJNLbHR3R1O60t7OGszX7ZUutvWHxdhFnyph4OHePxImBgR0R1nIcTWv+VZketFFPZ30lOPyLa8+OKLWvz/WbNmBVxIGXmOZdeKHIYsB6S5S0a2h7uyg+F3T8e/yGdi6BHchak/29RI+80Y6zy1X+/7gKt51Kg+7stY527uMcpWf82dzvKJPFabaX/0sjwR3AM9pIwzvu+9954mGMkCL5O5BDwd22R35NKlS6OEtJQzd0R8b9WqleZ4FCzJU2aO+VhEZRH45JwlmZd5OPB/PcWXOShY+pm7enbp0kULOSq7aWUHMJNzAhICS8L7Rt4RLWOXzLfyLMpOKyN2S7M9SMBbAhTcvSXG64OGgOOQNInHJ1sFJYkniJwi7smhqfISJrEQJX63uyTbob744gtcvnzZ3aVe/663Ho4CJQ59lSpVtDji4qXsODRVDl2UMDuSZPu8fGCdP3/e44UDTyvkaz3Es13EdlnIkO3Zjhj0sZXrz/aQ0B0StmP06NFakbJNUIQNeaFydWiqbB+XDyBHkvj/wjzyoalyYKpj54TUUdrA6ENTvamH2C5e7cJSQsnIB4m7JM+VsJGXKNlKaUTytj2i2yAvcxK/XbZgjxw5MuIQ20BoD6mL9BE5M0IWAt3FyjejPYxoY7vnqUdwt0Kbemq/49BUs58tZ/3H1/knel7R51Ej+6q3Y50cmhrb3GOkrc7y9tZ+d2O12fZHLs8TwV3C9sk7isTrdaSWLVtq74WBcGiqM76yqzBlypQRoQjjsg1YtnMCJ06cgLxDOpKIyPLOLN8u8gzSu9Y5N3mHqlmzpvZ9KAuyFPZictI7hgfbMyvvPF27dsWiRYu0HcESv53JNQFxppPQtpGThGWTHSgynzLuPXuPVQhQcLdKS9AOSxKQOOQSN1uETtmeLAO5eOnOnDlTs1deuCT0xdSpU6PEQpawK7I9WD6eRKCPnERIlTxFgBRPa9kKJYKC/JE43UYkb+sh8bSljiIqiignoSe6d++uvXjLtlNJIjzKwSTiLSvC6tmzZ9G6dWvtgEmJd2tE8rYe8hFRp04dTUSQFxiJL+9I4uUpL8hGt4fEVJcDXcaPH6/1ETkQTbbv/v3338icOTPatGmjxRUfOnSoZpqEUZDtqRKGRWK3Snw64SkH0TpeHiQkkvwunkfi/SBhi6SN5KwAd977vraLt/UQG2UXhPSjyIemyS4J+SOnykt/b968uXYor/Q5iW0vL1AiOHi608Pb+nhbD/EEl2e1QIECWizFESNGaAsCciBykSJFtOIDoT0cnKpWrar1N+lXkVNctYe37RfM14swIuKbhMSSfrhp0yYNh/RNeaYkyYeGjCXi9WO1NvXW/rh6tlz1MW/nH0/mUSP7s7djnSdzj5H2Rs/bW/s9GavNtF+eP3kXlCSHyMsCrQh0EtZOFpYlVru8Q8r7oyQ5dF7m+M6dO6N9+/aQMH5yro/suBMB1Ozkrf3ybiPvI7IgLbs1JbyGOBqIo4oRIeLM5hEs5QVzSBlP21ieW3GqknOu5D08stgu77NM4QTcjeHkFJWAnHUl30zi3V64cOGIH1OnTh2nZ3gEUjsxpEwgtVbw2ErBPXjamjX1gYCIG+KJLKKsbE8ScfDrr7+OEDccL6br1q3TXr4cSQ5/FI8H+T36FkPxVJIPLfkQk9VsEUskVpsctGPUdkRv6yFx0eRg0T///BMSgiJnzpyagCMHKqVKlSqinrKyLLbLSryI2SIsixAs4TaMSN7WQ+ySD1xnST5u8+TJo3mOGd0eY8aM0QQyWZSQRQrpQ+L5IUn6jdghXp+ONG/evIjDq8TDQRY0ZPHDkaTfyEG7sqNARGDZeSAHq8oij5HJm3pInaJ7HohtYvfAgQMhZxw0adIEcjCX1EEWbmRxROKiy0KEkcmbeshCk8RvlrZLmzat5s0kIW9EQAmk9hBb5VA7EWRFABHPw8gpLtvDyLa2U96vvfaa0+39kecf8aSV80DkWqu1qbf2S9vF1VjnrN94O/94Oo8a2Ue9GevEDndzj5G2OsvbG/s9GavNtN/V+4e8J8l8L8+DvCPKdY4k/1/qIYvn4uAgi+lyXVwkb+2X9xR5JxExUnYSyq48WXR39Q4WF3Vime4JUHB3z0ieX3HAcpZkzmL6j0BsYzg5RSUg72/OkuOdjrzcE6Dg7p4RrzCfAAV385mzRBIgARIgARIgARIgARIgARIgARIgARIg+lb7oQAAIABJREFUARIgARIgARsSoOBuw0ZllUiABEiABEiABEiABEiABEiABEiABEiABEiABEiABMwnQMHdfOYskQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIwIYEKLjbsFFZJRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAfMJUHA3nzlLJAESIAESIAESIAESIAESIAESIAESIAESIAESIAESsCEBCu42bFRWiQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIwHwCFNzNZ84SSYAESIAESIAESIAESIAESIAESIAESIAESIAESIAEbEiAgrsNG5VVIgESIAESIAESIAESIAESIAESIAESIAESIAESIAESMJ8ABXfzmbNEEvCJQI0aNVCyZEmMGjVKuz9Pnjzo1q2b9seTNHnyZO3aq1evenK5ds2xY8eQN29e7NmzRyt7/fr1qFmzJq5cuYI0adJ4nI+rC32xSXehzCAKgXjx4mHRokVo0qSJoWSCra379euHc+fOYcKECYZydZb5K6+8gqeffho9e/Y0vWwWGNgEOM8EdvtZ1XrOM8a0DOcZY7gyV2MJcJ4xlm+w5s55xpiW5zxjDFfmGjwEKLgHT1uzpiYQeO211zBlyhStpAQJEiBHjhx48cUXMXjwYCRJkkSXBdFfUC9cuIDkyZMjWbJkHuXri+AZXXC/f/8+Ll++jMyZM0NebPQmX2zSW2Zc3m/Wy6CzOg4cOBCLFy/G77//HjCCuxG8zOhzZ8+eRaFChfDHH38gd+7cpne5P//8E9WqVcPRo0eROnVq08tngcYS4DzjHV8znnnvLDL2aiPGTU8t5jwTTsqMPsd5xtNeyet8IcB5xjtqZjzz3llk7NWcZ7xzYDOClxl9jvOMsc8Rcw8OAhTcg6OdWUuTCMgLqni1/vDDD3jw4AF27dqFtm3b4u2338awYcN0WRFdcPc2M18m5uiCu7dlurveF5vc5Wnl34144fK0vhRC/CuEPHr0SFt0CgkJidEEH3/8MX799VcsX77c0+bx+3Xi4S7jUefOnf2eNzOMWwKcZ7zjz3nGO156ruY8w3lGT//hvdYhwHnGu7bgPOMdLz1Xc57hPKOn//BeEjCbAAV3s4mzPFsTkBdUCdkinsSO1Lx5c83TdPfu3do/Xbp0CV26dMHGjRu10Cz58+fHhx9+iBYtWkTcc+vWLXTs2BELFy5EypQp0atXLyxdujTWkDIjR47UhP4jR44gXbp0aNy4MYYPH44UKVJo+XryMrh9+3Z06NABBw4cQNGiRfHRRx+hWbNmLkPKHD9+XKuLiIvi/S5hbkaMGIEGDRpEhJ/56aef8MEHH+Cff/7R7P/++++1vJ3ZdPjwYfTo0QNbt26FMHjyyScxdOhQ1KpVK4LNvXv30L9/f8ycORPnz59Hzpw5tfxff/117Rrx7n3vvfewadMmbQdAnTp18OWXXyJDhgza77JwUaxYMcSPH1/bjZAoUSKIQNqyZUutLvPnz9c8+EePHo369etHlOtJvsWLF9d2MkgdJV9ZaJEXQ0nCRng5kng+y4KGsySe0e+++y62bNmi7WCQPiTt62hLRz+rUqUKvvjiC429hBGRcEMJEyaMkaW0fbt27aL8u/QVyUdE4++++w4///wzVqxYgezZs2t5Pvfccx7X3VkdpExpp4sXL6Ju3boQW4cMGRIlpNGSJUswaNAg7N+/H9myZdMWp6TPye6Q2HjFdp/YIs/g+++/rz2H165dQ4ECBfDZZ59p/CQkUuQ0YMAArY3kWRTm8pxJH6tevTq+/vprFCxYMEpfnTp1Kvr06aP153///VezM3qS/i3Pb2Sx25d+5wjhJMK9lPn333+jYsWKmD17traYJ8/KqVOn0KhRI63PRd7tIrtqVq1apT0HTPYiwHmG8wznmfBnmvMM5xl7je7WqQ3nGc4znGc4z/B7xjpjMi0JXAIU3AO37Wi5BQlEf0EVkbZ27dpaWAkRkSWJQDZr1ixNRE6VKpUmdHbv3h2bN29GuXLltGs6deqk/fukSZOQKVMmTZDfsGED2rdv7zKGu4itJUqU0GKui+gueTzzzDMYO3ZsFMHQVQz3mzdvIl++fJq9Up4sEogAKXm5iuEuQp+IvSLQirgtwqnUScJZOMRCEc2/+uorZMmSRctXmIhYKcJw9EWAvXv3apwqV66MxIkTQ8TNzz//HAcPHkSuXLm0erz88suaEC15Sn3FThF15d+lbhLK44033kCbNm1w584dTXh9+PAh1q5dq90vwqcsfvTu3Vu7Z86cOZrgKsJ806ZNtd9FoJ87dy5OnDihiZie5iucRAQV8V5slP4gIrYwlRBA0pYidNerV08T/DNmzBijF8tCg4i8IqyKGC2LClIfYSq8JEm+EnddypE2EuFX6iJ94M0334yRp3CQGHwi3K5evVr7XUKNJE2aVBPcJfSRLM6IV7QsNEi/k8UBWbjxpO7RC9y2bRsqVaqkLZZIbHgpV4Ttx48fRwjuIgRL/xFRu2rVqpDFlrfeekurm1zripe7+8LCwrT+c+PGDa0dZUFL+qXwfvbZZ/Htt99qCwHSpySJCC9/nn/+eRw6dAjjx4/X+rD0G7FJ7nX0VbFPGMmiUvr06bXFnughnSTkkizuSPuXL18+Ao0v/c7xDFWoUEF7DqSsl156SVsUkedDFhHkuZV+K4tMYrMjCXOp0/Xr17VrmexDgPMM5xnOMwDnGc4z9hnVrVcTzjOcZzjPcJ7h94z1xmZaFHgEKLgHXpvRYgsTkBfU6dOna17OIvKKp6yEnBDxVryUXSURHp944glNVBMBTcQ8yUfiv0sSEU9EURH8PD00VTy1xcNaxGhJ7jzc5XBHEcRDQ0Mj4s2PGzdO89R1JbiLR7fUSwTS6MkhFoo3rojBkeshtohw6M4muUdW16Ue4n0uQn3hwoU1z93IXu+OssVTXQRZEbkdSeojwqgIrCLGi/Ap4UAcnr/y/0V8Fk9+EfglScy6rFmzaqKpiJ2+5Cv5yAKKLHqIMCrJk5Ay4m0uwunJkye1RQxJv/zyi7Zj4fTp05r3vfQz4SuCsAjJkoSn9DXh7SzFtgWzb9++mve5JBH8RYBetmyZtjDgSd2jlycLAeJZLotGjiQe+CICOxZ8pP1EAJfdCY4kfV4WQqSerni5u2/lypXazgTZpSHtHT0563MitMu1v/32m7ZQIEl2oki/kV0Q8hw6dglIDHxZ6HGV5PdSpUppizVyvyP50u8cz5AskggrSdKXhJm0vSyQSZLnQ3ZLRA5hs2/fPs1O+fe4iCPvEhB/0E2A88x/CDnPcJ7hPMN5RvegygxiEOA8w3km8g5Jfs/we4bfM5woSMA3AhTcfePGu0jAKQF5QRUPdvGiFeFSPGwlPIaEe3AkEXg//fRTTYSXa8VDXIR58VKVfxMvbwm9Ih7GDq9uuVdEPAlz4UpwF1FOPIol7IR4tYrgf/fuXc0O8Yx1J26Ll72U7fAElzIdtrgS3KVeIsjLi5gIoSK+iwgvySGEOKuHeD2LSB/dJllsEGFYPqDPnDmj1UG8s3v27Kl5YAsfEXPl35yFThFhVMKNSDiXyEkYiGgtQqwIn0899RS++eabiEtEkBRBX7yEJYkntojXkpeEVvE1X/EwlsUT8RiX5IngLh4lwnvdunUR9ol4nSZNGm2Xg3i6Sz8TD/DIQoN4uksomsjtF5lBbIK7cHUs7sg9sgAhnu6yS8CTukd/GKSvSn8WT3JHkh0J0uYOwV28+6W9HQsGcp08G5H7rDNe7u4bM2aM1raRw/dEts/Zc/Djjz9qfVfKjmxP5HrIfRJuSa6J7cBgWaQR0V52JkTeweBLv3M8Q5Hzkh0S0lelTzuScJVQOI6wVfLvjkUE8dCXXSZM9iHAeYbzTOT5i/MM5xnH6MZ5xj7jfFzXhPMM5xnOM+Hf3vye4fdMXI/HLD+wCVBwD+z2o/UWIxB9C6aEtxAv027dukXEGBcPVfFkF+FcYomLF7P8LsK8xJz2RXAXL1bxkBfxW7zJJRSIxFWXuOYSm1rEWiMEd8Evntgi/IpnscRrl/AyXbt29UlwF09d8V4XPhJ3W0KevPDCC5pILrxEVJQXH1eCuwjqsrjg7IBa8VgX1s4On5U43NIG8seRIou9vuYrCwsO9v4W3KOfFSC2i3e1iLTOkjeHDInNwlv6syd190Vwl7aVkDmysyB6Es9tWfBwJri7u08+EKT/GCG4C2NXIZkcdXAI3Y4dFZGFEFlIcyyYyb+763cOwd3xDMs9zp5jZ20r4RZkd4YszDjOL7DYcElzfCTAeYbzTORxhPOMa8Hd3XzBeaZJxLsa5xkfB2Sb3sZ5hvMM5xnPBHfOM/yesek0wGr5iQAFdz+BZDYkIAScHTIk8drFa1liocukLKFBJJb3xIkTNWgiyotYXqRIEU1wF69fEcxnzJgR4XUsH0ISUkbiczvzcF+wYIF26Kp438oHpCQJBSJxuz0V3J2FlJF41iKCu/Jwj97qEupCxHcJZ+EQCyVGuoQ7keSoh3jpOgspIwsQ8u9ityRhIfUWrlJvWVgQMVbEfWchZeTATWEhceJlAcNZ8kVw9zXf6EKIeN5Lf4gtvJCnIWW8FdxlV4WULV7wkZMzUTuy4O5J3aNzdhZSRvqnhKlxCNYSZ136veM5cNZWzni5u092AUgYH1chZeSwXfFUlxjvjhRbSBkJMySLPu4WrBx5yfOcNm1aLRSNtL8j+dLv9AjuwlWEeFkQY7IXAc4znGdiE0I4z3CeMWthl/OMveaWyLXhPMN5hvMMtF3V0UNk8numhrYTn/OMfcd/1sy/BCi4+5cncwtyAs5eUCUsisOTtVevXpr4LvHVJda2CHMjR47UQqXUrFlTE9wliae6iJOOQ1NF9JRQIeKx7kxwd3jFy28i6EssahG/JWSNp4K7iNty4KrE7ZZ7Rdx2HMjpSnAXj1/xgJb411KOHNQq4VlEZHeIhRK+RcKJSOxxqYd4YYvAKaJAdBFTvJ3lEFQR5EUIFuFd8ol8WGy7du2wZs0a7bBN2T0gnswSckOEeon9LS8BEnpHYoHLwoUcKCqsJfyNhAvxRfj0Nd/ogrtwkoUCCbUiB1lK+0dPt2/f1rz7JSyJCKbioSyHpsrBopEPTfVWcBehWc4AkJ0PsoiRMmVKzQZ3grsndY9eB8fBt7LTQMIdSEx9acvIh6bKv8nZBRI/XgRtWSiSfiyLJbJYJMkZL0/uk2dJzi6QZ0tYSpglqaf0bTmcWER7CcEk/Ud2RMgfaSvHoanCpk+fPlrfiXxoqice7mK3LKjIsySe9nEluMtYJP09tgWNIB+uA7b6nGc4z8QmhHCe+e9wbk/mC84z67X3T1883DnPBOw04tZwzjOcZzjPAPye4feM28GSF5CAGwIU3NlFSMCPBJy9oEr2EkZGxD8RkyVeuwjIIhqL0CciqBywKCvoDsFdxG8R3RcuXKgJoxLDXDzHI68oRw9HIfHiR4wYoXkQS5zvVq1aaTG4PRXcxU55sRCPdvEOFo97EUlFPHQluEvoGFkYkINJU6VKpQmaYofELXcI7hIGRsRLETPFfvHgdsR5jy64i8gvbMQOCYMhh4fOmzcvSr3Fi18OdxURXQ62lDj38ncR4iVJOXKfxEAX1rIAIHYJfxFdfRHcfc03uuAuLGTBReqZPXt27b/Oknihy2KHxAOXPiJtIPbLYaaSnPUzdyFlhIX0Cel30kdkUUPycSe4e1J3Z3WQxSKJLS5tJIsMsggiB7NGDskiYsjgwYO1/iUx+cXjXRYXZCeHJFe83N0nhwzL4pbEZpdY5yK6yzPYsGFDLV95tqRfiW1ioyxsyHMizOUeOVdBniGJY1+wYEHtHk893OVaeSakDvJcO3ac+NLvfPVwl2ckS5Ys2iGqElaGyV4EOM9wnolNCOE8w3nGDM9DzjP2mlei14bzDOcZzjPhTwW/Z/g9Y+/RnrUzmgAFd6MJM38SCFICzsTCIEXBagcZAfHkL1++POQgYtl6anaSQ5sXLVqkhV5iIgE7E+A8Y+fWZd1iI8B5hv2DBMwhwHnGHM4sxXoEOM9Yr01oUeARoOAeeG1Gi0kgIAjwBTUgmolGGkRAQifJToXWrVsbVILrbCV8koQgKly4sOlls0ASMJMA5xkzabMsqxHgPGO1FqE9diTAecaOrco6eUqA84ynpHgdCTgnQMGdPYMESMAQAnxBNQQrMyUBEiABEvg/Ac4z7AokQAIkQAJGEuA8YyRd5k0CJEAC9iZAwd3e7cvakQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJmESAgrtJoFkMCZAACZAACZAACZAACZAACZAACZAACZAACZAACZCAvQlQcLd3+7J2JEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJhGg4G4SaBZDAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRgbwIU3O3dvqwdCZAACZAACZAACZAACZAACZAACZAACZAACZAACZCASQQouJsEmsWQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnYmwAFd3u3L2tHAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRgEgEK7iaBZjEkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL2JkDB3d7ty9qRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmYRICCu0mgWQwJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIC9CVBwt3f7snYkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAImEaDgbhJoFkMCJEACJEACJEACJEACJEACJEACJEACJEACJEACJGBvAhTc7d2+rB0JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIBJBCi4mwSaxZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACdibAAV3e7cva0cCJEACJEACJEACJEACJEACJEACJEACJEACJEACJGASAQruJoFmMSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAvYmQMHd3u3L2pEACZAACZAACZAACZAACZAACZAACZAACZAACZAACZhEgIK7SaBZDAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgL0JUHC3d/uydiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiYRoOBuEmgWQwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkYG8CFNzt3b6sHQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgEkEKLibBJrFkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJ2JsABXd7ty9rRwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkYBIBCu4mgWYxJEACJEACJEACJEACJEACJEACJEACJEACJEACJEAC9iZAwd3e7cvakQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJmESAgrtJoFkMCZAACZAACZAACZAACZAACZAACZAACZAACZAACZCAvQlQcLd3+7J2JEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJhGg4G4SaBZDAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRgbwIU3O3dvqwdCZAACZAACZAACZAACZAACZAACZAACZAACZAACZCASQQouJsEmsWQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnYmwAFd3u3L2tHAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRgEgEK7iaBZjEkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL2JkDB3d7ty9qRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmYRICCu0mgWQwJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIC9CVBwt3f7snYkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAImEaDgbhJoFkMCJEACJEACJEACJEACJEACJEACJEACJEACJEACJGBvAhTc7d2+rB0JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIBJBCi4mwSaxZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACdibAAV3e7cva0cCJEACJEACJEACJEACJEACJEACJEACJEACJEACJGASAQruJoFmMSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAvYmQMHd3u3L2pEACZAACZAACZAACZAACZAACZAACZAACZAACZAACZhEgIK7SaBZDAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgL0JUHC3d/uydiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiYRoOBuEmgWQwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkYG8CFNzt3b6sHQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgEkEKLibBJrFkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJ2JsABXd7ty9rRwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkYBIBCu4mgWYxJEACJEACJEACJEACJEACJEACJEACJEACJEACJEAC9iZAwd3e7cvakQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJmESAgrtJoFkMCZAACZAACZAACZAACZAACZAACZAACZAACZAACZCAvQlQcLd3+7J2JEACJEACJEACJEACJEACJEACJEACJEACJEACJPC/duyYBgAAhmEYf9ZlkaMygmreFwKRgOAeQZshQIAAAQIECBAgQIAAAQIECBAgQIAAgW8Bwf37v64jQIAAAQIECBAgQIAAAQIECBAgQIAAgUhAcI+gzRAgQIAAAQIECBAgQIAAAQIECBAgQIDAt4Dg/v1f1xEgQIAAAQIECBAgQIAAAQIECBAgQIBAJCC4R9BmCBAgQIAAAQIECBAgQIAAAQIECBAgQOBbQHD//q/rCBAgQIAAAQIECBAgQIAAAQIECBAgQCASENwjaDMECBAgQIAAAQIECBAgQIAAAQIECBAg8C0guH//13UECBAgQIAAAQIECBAgQIAAAQIECBAgEAkI7hG0GQIECBAgQIAAAQIECBAgQIAAAQIECBD4FhDcv//rOgIECBAgQIAAAQIECBAgQIAAAQIECBCIBAT3CNoMAQIECBAgQIAAAQIECBAgQIAAAQIECHwLCO7f/3UdAQIECBAgQIAAAQIECBAgQIAAAQIECEQCgnsEbYYAAQIECBAgQIAAAQIECBAgQIAAAQIEvgUE9+//uo4AAQIECBAgQIAAAQIECBAgQIAAAQIEIgHBPYI2Q4AAAQIECBAgQIAAAQIECBAgQIAAAQLfAoL7939dR4AAAQIECBAgQIAAAQIECBAgQIAAAQKRgOAeQZshQIAAAQIECBAgQIAAAQIECBAgQIAAgW8Bwf37v64jQIAAAQIECBAgQIAAAQIECBAgQIAAgUhAcI+gzRAgQIAAAQIECBAgQIAAAQIECBAgQIDAt4Dg/v1f1xEgQIAAAQIECBAgQIAAAQIECBAgQIBAJCC4R9BmCBAgQIAAAQIECBAgQIAAAQIECBAgQOBbQHD//q/rCBAgQIAAAQIECBAgQIAAAQIECBAgQCASENwjaDMECBAgQIAAAQIECBAgQIAAAQIECBAg8C0guH//13UECBAgQIAAAQIECBAgQIAAAQIECBAgEAkI7hG0GQIECBAgQIAAAQIECBAgQIAAAQIECBD4FhDcv//rOgIECBAgQIAAAQIECBAgQIAAAQIECBCIBAT3CNoMAQIECBAgQIAAAQIECBAgQIAAAQIECHwLCO7f/3UdAQIECBAgQIAAAQIECBAgQIAAAQIECEQCgnsEbYYAAQIECBAgQIAAAQIECBAgQIAAAQIEvgUE9+//uo4AAQIECBAgQIAAAQIECBAgQIAAAQIEIgHBPYI2Q4AAAQIECBAgQIAAAQIECBAgQIAAAQLfAoL7939dR4AAAQIECBAgQIAAAQIECBAgQIAAAQKRgOAeQZshQIAAAQIECBAgQIAAAQIECBAgQIAAgW8Bwf37v64jQIAAAQIECBAgQIAAAQIECBAgQIAAgUhAcI+gzRAgQIAAAQIECBAgQIAAAQIECBAgQIDAt4Dg/v1f1xEgQIAAAQIECBAgQIAAAQIECBAgQIBAJCC4R9BmCBAgQIAAAQIECBAgQIAAAQIECBAgQOBbQHD//q/rCBAgQIAAAQIECBAgQIAAAQIECBAgQCASENwjaDMECBAgQIAAAQIECBAgQIAAAQIECBAg8C0guH//13UECBAgQIAAAQIECBAgQIAAAQIECBAgEAkI7hG0GQIECBAgQIAAAQIECBAgQIAAAQIECBD4FhDcv//rOgIECBAgQIAAAQIECBAgQIAAAQIECBCIBAT3CNoMAQIECBAgQIAAAQIECBAgQIAAAQIECHwLCO7f/3UdAQIECBAgQIAAAQIECBAgQIAAAQIECEQCgnsEbYYAAQIECBAgQIAAAQIECBAgQIAAAQIEvgUE9+//uo4AAQIECBAgQIAAAQIECBAgQIAAAQIEIgHBPYI2Q4AAAQIECBAgQIAAAQIECBAgQIAAAQLfAoL7939dR4AAAQIECBAgQIAAAQIECBAgQIAAAQKRgOAeQZshQIAAAQIECBAgQIAAAQIECBAgQIAAgW8Bwf37v64jQIAAAQIECBAgQIAAAQIECBAgQIAAgUhAcI+gzRAgQIAAAQIECBAgQIAWhNqdAAACXUlEQVQAAQIECBAgQIDAt4Dg/v1f1xEgQIAAAQIECBAgQIAAAQIECBAgQIBAJCC4R9BmCBAgQIAAAQIECBAgQIAAAQIECBAgQOBbQHD//q/rCBAgQIAAAQIECBAgQIAAAQIECBAgQCASENwjaDMECBAgQIAAAQIECBAgQIAAAQIECBAg8C0guH//13UECBAgQIAAAQIECBAgQIAAAQIECBAgEAkI7hG0GQIECBAgQIAAAQIECBAgQIAAAQIECBD4FhDcv//rOgIECBAgQIAAAQIECBAgQIAAAQIECBCIBAT3CNoMAQIECBAgQIAAAQIECBAgQIAAAQIECHwLCO7f/3UdAQIECBAgQIAAAQIECBAgQIAAAQIECEQCgnsEbYYAAQIECBAgQIAAAQIECBAgQIAAAQIEvgUE9+//uo4AAQIECBAgQIAAAQIECBAgQIAAAQIEIgHBPYI2Q4AAAQIECBAgQIAAAQIECBAgQIAAAQLfAoL7939dR4AAAQIECBAgQIAAAQIECBAgQIAAAQKRgOAeQZshQIAAAQIECBAgQIAAAQIECBAgQIAAgW8Bwf37v64jQIAAAQIECBAgQIAAAQIECBAgQIAAgUhAcI+gzRAgQIAAAQIECBAgQIAAAQIECBAgQIDAt4Dg/v1f1xEgQIAAAQIECBAgQIAAAQIECBAgQIBAJCC4R9BmCBAgQIAAAQIECBAgQIAAAQIECBAgQOBbQHD//q/rCBAgQIAAAQIECBAgQIAAAQIECBAgQCASENwjaDMECBAgQIAAAQIECBAgQIAAAQIECBAg8C0wFd73q+Xb1rYAAAAASUVORK5CYII=\" width=\"1500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots(3, 3, figsize=(15,15))\n",
    "for id0, shape in enumerate((\"gaussian\", \"circle\", \"square\")):\n",
    "    for id1, w in enumerate((0.1, 0.4, 1.0)):\n",
    "        p=s.plot_displacement(w, 60, beam=shape, ax=ax[id0, id1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "14383e60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "width = 1\n",
    "angles = numpy.arange(90)\n",
    "displ_g = [s.measure_displacement(width, a, beam=\"gaussian\", over=1024) for a in angles]\n",
    "displ_c = [s.measure_displacement(width, a, beam=\"circle\", over=1024) for a in angles]\n",
    "displ_s = [s.measure_displacement(width, a, beam=\"square\", over=1024) for a in angles]\n",
    "\n",
    "fig,ax = subplots()\n",
    "\n",
    "ax.plot(angles, displ_g, label=\"Gaussian profile\")\n",
    "ax.plot(angles, displ_c, label=\"Circular profile\")\n",
    "# ax.plot(angles, displ_s, label=\"Square profile\")\n",
    "ax.set_title(\"450µm Si @ 20keV, 35% efficiency\")\n",
    "# ax.set_title(\"200µm CsI @ 35keV, 80% efficiency\")\n",
    "fig.suptitle(f\"Displacement of beam ({width} mm) due to parallax\")\n",
    "ax.set_ylabel(\"Displacement (mm)\")\n",
    "ax.set_xlabel(\"Incidence angle (°)\")\n",
    "ax.plot(angles, numpy.sin(numpy.deg2rad(angles))/s.lam, label=r\"Theory $sin(\\alpha)/\\mu$\")\n",
    "ax.legend()\n",
    "# fig.savefig(\"Perkin.png\")\n",
    "fig.savefig(\"Pilatus.png\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f9dabae",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The parallax effect induces a displacement of the ring, the numerical value is almost proportional to the scattering angle for all useable incidence angles (<60°) and represents at maximum one pixel (100µm).\n",
    "\n",
    "This tutorial can directly be re-run for photon counting detectors like the Pilatus detector manufactured by Dectris, with the efficiency curves provided by the manufacturer: \n",
    "![Efficiency of Si-based detector](silicon_sensors_QE_450_1000.webp)\n",
    "![Efficiency of CdTe-based detector](CdTe_sensors-QE_CdTe_.jpg__750x562_q90_subsampling-2.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fac85571",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time: 39.376s\n"
     ]
    }
   ],
   "source": [
    "print(f\"Execution time: {time.perf_counter()-start_time:.3f}s\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dabf8a78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.12426698691192237"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1/s.lam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bad671a5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3.8 (venv)",
   "language": "python",
   "name": "py38-venv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}