{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Loss computation in PYLEECAN" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Iron losses\n", "\n", "### Theory\n", "\n", "Iron losses are computed thanks to a Steinmetz equation. It takes into account the contribution of hysteresis and Eddy current losses. The coefficients of the equation must be fitted to experimental loss data for each material.\n", "$$\n", "\tP = k_{hy} f^{\\alpha_f} B^{\\alpha_B} + k_{ed} f^2 B^2 \n", "$$\n", "\n", "\n", "+ $P$ is the loss density,\n", "+ $k_{hy}$ and $k_{ed}$ are coefficients found by curve-fitting,\n", "+ $f$ is the frequency of the magnetic fluc density,\n", "+ $B$ is the amplitude of the magnetic flux density.\n", "\n", "Several equations exist to compute iron losses. The one presented above seems to give the better correlation with the input data. For example, another well known formula is the Bertotti's one:\n", "\n", "$$\n", " P = k_{hy} f B + k_{ed} f^2 B^2 + k_{ex} f^{1.5} B^{1.5}\n", "$$\n", "\n", "The two models have been implemented in PYLEECAN and it is possible to compare them.\n", "\n", "### Implementation in PYLEECAN\n", "\n", "The Steinmetz equation enables to compute the loss density in each element of the mesh, thanks to the value of the magnetic flux density $B$ given by the FEMM simulation.\n", "\n", "The curve-fitting allowing to compute the coefficients have been implemented in PYLEECAN. The loss data of the material can be stored in an ImportMatrix in the material.\n", "\n", "It is necessary to take into account the harmonics of $B$. Indeed, the Steinmetz equation enables to compute the losses when $B$ is sinusoidal. Thus, the Fourier transform of the magnetic flux density is used and the loss is the sum of the contribution of each harmonic:\n", "\n", "$$\n", " P = \\sum_{\\nu = 0}^{N} \\left( k_{hy} f_{\\nu}^{\\alpha_f} B_{\\nu}^{\\alpha_B} + k_{ed} f_{\\nu}^2 B_{\\nu}^2 \\right)\n", "$$\n", "with $N$ the number of harmonics taken into account.\n", "\n", "In this equation, the coefficients $k_{hy}$ and $k_{ed}$ found by curve-fitting are divided by the stacking factor of the lamination. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Magnet loss\n", "\n", "The magnet losses are computed according to the method described in:\n", " D. Ishak, Z. Q. Zhu, et D. Howe, « Eddy-current loss in the rotor magnets of permanent-magnet brushless machines having a fractional number of slots per pole », IEEE Transactions on Magnetics, vol. 41, nᵒ 9, p. 2462‑2469, sept. 2005, doi: 10.1109/TMAG.2005.854337.\n", "This method uses the current density $J$ in the magnets. This current density is calculated from the vector magnetic potential $A$ according to the following equation:\n", "$$\n", " J_m = - \\sigma_m \\frac{\\partial A}{\\partial t} + J_c\n", "$$\n", "\n", "\n", "+ $\\sigma_m$ is the magnet conductivity,\n", "+ $J_c$ is an integration constant which imposes that the total current density in the magnet is null.\n", "\n", "The current density in the magnets enables to compute the loss density in each element of the mesh according to the equation:\n", "\n", "$$\n", " P = \\frac{1}{2 \\sigma_m} k_{seg} J_{mfft}^2\n", "$$\n", "\n", "with :\n", "$$\n", " J_{mfft} = - j \\sigma_m \\omega (A_{zfft} - A_{zmean})\n", "$$\n", "The term $A_{zmean}$ correspond to the integration constant $J_c$.\n", "\n", "$k_{seg}$ is a coefficient that allows to take magnet segmentation into account. Segmentation means that the magnets are divided in several blocks in the axial direction of the electrical machine. $k_{seg}$ is given by the following equation:\n", "\n", "$$\n", " k_{seg} = {\\left(\\frac{L_{mag} + W_{mag}}{L_{mag} N_{seg} + W_{mag}}\\right)}^2 \n", "$$\n", "\n", "with :\n", "\n", "+ $L_{mag}$ the length of the magnets\n", "+ $W_{mag}$ the width of the magnets\n", "+ $N_{seg}$ the number of segments that consitute the magnets\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Skin effect\n", "\t\n", "It is necessary to take skin effect into account to compute Joule losses. To achieve this, a coefficient that decreases the material conductivity is computed with respect to the electrical frequency. The following equation from J. Pyrhonen, T. Jokinen, et V. Hrabovcova, Design of Rotating Electrical Machines. John Wiley & Sons, 2013, enables to compute this coefficient:\n", "\n", "$$\n", " \\begin{cases}\n", " k_{skin} = 1 + 0.59 \\times \\frac{zt^2 - 0.2}{9} \\times \\xi^4 \\quad \\textrm{for circular conductors}\\\\\n", " k_{skin} = 1 + \\frac{zt^2 - 0.2}{9} \\times \\xi^4 \\quad \\textrm{for rectangular conductors}\n", " \\end{cases}\n", "$$\n", "\n", "with :\n", "\n", "$$\n", " \\xi = h_c \\sqrt{\\frac{1}{2} \\omega \\mu_0 \\mu_r \\sigma z_a \\frac{bc_0}{b}}\n", "$$\n", "\n", " + $h_c = z_p \\times h_{c0}$\n", " - $z_p$ the number of adjacent wires in the radial direction,\n", " - $h_{c0}$ the height of the wires\n", "\n", " + $b_{c0}$ the width of the wires\n", " + $z_a$ the number of adjacent wires in the tangential directon" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Proximity effect losses\n", "\n", "Proximity effect losses are caused by induced currents in the windings. Each conductor creates a magnetic field that induce curent in adjacent conductors. This is called proximity effect. To be computed precisely, it would require a fine modelling of each conductor in the slots. That is not the case in PYLEECAN. In the software, the whole slot is considered as a uniform soucre of current on all the active surface. Thus, the proximity effect loss is computed according to an approximation that takes the global magnetic flux density in the slots. The computation is done in the same way as eddy current losses in the iron. It uses the frequency and the amplitude of the flux density:\n", "\n", "$$\n", " P = k_p f^2 B^2 \n", "$$\n", "\n", "with :\n", "\n", "$$\n", " k_p = k_{sfill}\\frac{\\pi^2}{8} \\sigma_{wire} d_{wire}^2 \n", "$$\n", "\n", "where :\n", "\n", "+ $k_{sfill}$ is the filling factor of the slots\n", "+ $\\sigma_{wire}$ is the electrical conductivity of the conductors\n", "+ $d_{wire}$ the diameter of the wires\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Version information" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running date: April 27, 2023\n", "Pyleecan version:1.5.0\n", "SciDataTool version:2.5.0\n" ] } ], "source": [ "%matplotlib notebook\n", "from PySide2.QtWidgets import *\n", "from datetime import date\n", "print(\"Running date:\", date.today().strftime(\"%B %d, %Y\"))\n", "import pyleecan\n", "print(\"Pyleecan version:\" + pyleecan.__version__)\n", "import SciDataTool\n", "print(\"SciDataTool version:\" + SciDataTool.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Validation case\n", "\n", "The machine used for the validation of the loss models is taken from the FEMM website D. Meeker, « Rotating Losses in a Surface Mount Permanent Magnet Motor:Finite Element Method Magnetics ». https://www.femm.info/wiki/SPMLoss. It is a 60W surface permanent magnet synchronous machine (SPMSM) with 8 pole pairs and 18 stator slots. The machine is imported and plotted below.\n" ] }, { "cell_type": "code", "execution_count": 3, "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. 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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(\"
\");\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", " '';\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", " '';\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 = '';\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 = '';\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": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib notebook\n", "# Load the machine\n", "from os.path import join\n", "from pyleecan.Functions.load import load\n", "from pyleecan.definitions import DATA_DIR\n", "\n", "machine = load(join(DATA_DIR, \"Machine\", \"SPMSM_18s16p_loss.json\"))\n", "fig, ax = machine.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The FEMM website provides two figures that can be reproduced in PYLEECAN.\n", "\n", "![](./Images/loss_mesh_meeker.PNG)\n", "![](./Images/loss_vs_speed_meeker.PNG)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To reproduce these figures, a simulation with the magnetic and loss module will be carried out. The definition of the magnetic part of the simulation is similar to the tutorial \"[How to define a simulation to call FEMM](https://pyleecan.org/02_tuto_Simulation_FEMM.html)\"" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from pyleecan.Classes.Simu1 import Simu1\n", "from pyleecan.Classes.InputCurrent import InputCurrent\n", "from pyleecan.Classes.OPdq import OPdq\n", "from pyleecan.Classes.MagFEMM import MagFEMM\n", "from pyleecan.Classes.LossFEA import LossFEA\n", "from pyleecan.Classes.LossModelSteinmetz import LossModelSteinmetz\n", "from pyleecan.Classes.LossModelBertotti import LossModelBertotti\n", "from pyleecan.Classes.LossModelWinding import LossModelWinding\n", "from pyleecan.Classes.LossModelProximity import LossModelProximity\n", "from pyleecan.Classes.LossModelMagnet import LossModelMagnet\n", "from pyleecan.Classes.OutLoss import OutLoss\n", "import numpy as np\n", "\n", "simu = Simu1(name=\"test_FEMM_Loss_SPMSM\", machine=machine)\n", "\n", "simu.input = InputCurrent(\n", " Nt_tot=16 * 20,\n", " Na_tot=1000 * 2,\n", " OP=OPdq(N0=4000, Id_ref=0, Iq_ref=np.sqrt(2)),\n", " is_periodicity_t=True,\n", " is_periodicity_a=True,\n", ")\n", "\n", "simu.mag = MagFEMM(\n", " is_periodicity_a=True, # Use spatioal periodicity in FEMM\n", " is_periodicity_t=True,\n", " nb_worker=4, # Parallelization \n", " is_get_meshsolution=True, # Needed to compute losses\n", " FEMM_dict_enforced={ # Enforced mesh param for better comparison\n", " \"mesh\": {\n", " \"meshsize_airgap\": 0.00014,\n", " \"elementsize_airgap\": 0.00014,\n", " \"smart_mesh\": 0,\n", " },\n", " },\n", " is_periodicity_rotor=True,\n", " is_calc_torque_energy=False, # Skip torque computation\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A loss module is then defined to compute the losses in post-processing of the magnetic simulation. In this tutorial the LossFEA object is used. It will automatically setup 5 losses sub-model:\n", "- Stator core losses (Steinmetz)\n", "- Rotor core losses (Steinmetz)\n", "- Joule losses\n", "- Proximity losses\n", "- Magnet losses" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "FEMM reference website gives the values of the loss coefficients used for iron losses and proximity losses. These coefficients will be enforced, but they can also be computed if set at None." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "Ch = 0.00844 / 0.453592\n", "Ce = 31.2e-6 / 0.453592\n", "Cprox = 4.1018 # sigma_w * cond.Hwire * cond.Wwire" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "simu.loss = LossFEA(\n", " k_ed = Ce, # eddy current loss coefficients [W/(m3*T2*Hz2)]\n", " k_hy = Ch, # hysteresis loss coefficients [W/(m3*T2*Hz)]\n", " k_p=Cprox, # proximity loss coefficients [W/(m3*T2*Hz2)]\n", " is_get_meshsolution=True, # To be able to plot the losses on the mesh\n", " Tsta=120, # Stator temperature [degC] \n", " type_skin_effect = 0 # Skin effect for resistance calculation for Joule Model (0 to ignore skin effect, 1 to consider it)\n", ")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[16:32:58] Starting running simulation test_FEMM_Loss_SPMSM (machine=SPMSM_18s16p_loss)\n", "[16:32:58] Starting Magnetic module\n", "[16:33:00] Solving time steps: 0%\n", "[16:33:00] Solving time steps: 0%\n", "[16:33:01] Solving time steps: 0%\n", "[16:33:01] Solving time steps: 0%\n", "[16:33:19] Solving time steps: 25%\n", "[16:33:19] Solving time steps: 25%\n", "[16:33:20] Solving time steps: 25%\n", "[16:33:20] Solving time steps: 25%\n", "[16:33:36] Solving time steps: 50%\n", "[16:33:37] Solving time steps: 50%\n", "[16:33:37] Solving time steps: 50%\n", "[16:33:38] Solving time steps: 50%\n", "[16:33:55] Solving time steps: 75%\n", "[16:33:55] Solving time steps: 75%\n", "[16:33:56] Solving time steps: 75%\n", "[16:33:56] Solving time steps: 75%\n", "[16:34:12] Solving time step: 100%\n", "[16:34:13] Solving time step: 100%\n", "[16:34:13] Solving time step: 100%\n", "[16:34:13] Solving time step: 100%\n", "[16:34:13] Running LossFEA module\n", "[16:34:15] End of simulation test_FEMM_Loss_SPMSM\n" ] } ], "source": [ "out = simu.run()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once the simulation is carried out, it is possible to print the values of the losses:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stator core: 3.33 [W]\n", "rotor core: 0.04 [W]\n", "joule: 4.39 [W]\n", "proximity: 0.06 [W]\n", "magnets: 1.29 [W]\n", "overall: 9.10 [W]\n", "total_power: 61.88 [W]\n" ] } ], "source": [ "power_dict = out.loss.get_power_dict()\n", "for key, value in power_dict.items():\n", " print(key+\": \"+format(value, \".2f\") +\" [W]\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then, it is possible to reproduce the figure showing the loss value versus speed with:\n", "![](./Images/loss_vs_speed_meeker.PNG)" ] }, { "cell_type": "code", "execution_count": 9, "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%; 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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(\"
\");\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", " '';\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", " '';\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 = '';\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 = '';\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": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "out.loss.plot_losses()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The loss meshsolution (values on the mesh) can also be shown to see where the losses are located in the machine for each loss model. All the results are stored in a different object here: " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stator core\n", "rotor core\n", "joule\n", "proximity\n", "magnets\n", "overall\n" ] } ], "source": [ "for key in out.loss.loss_dict.keys():\n", " print(key)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then for each loss model, the solution on the full mesh can be plotted with:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:root:VTK requires 3D points, but 2D points given. Appending 0 third component.\n" ] } ], "source": [ "out.loss.loss_dict[\"overall\"].plot_mesh() # overall on full mesh" ] }, { "attachments": { "image.png": { "image/png": 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qrxDzQwABBBBAAAEEEEAAAQQQQACB7AIEs9nJsw9IMJudnAETAYJZtgQCCCCAAAIIIIAAAggggAACCCCQCBDM1n9LEMzWf42rfocEs1VfIeaHAAIIIIAAAggggAACCCCAAALZBQhms5NnH5BgNjs5AyYCBLNsCQQQQAABBBBAAAEEEEAAAQQQQCARIJit/5YgmK3/Glf9Dglmq75CzA8BBBBAAAEEEEAAAQQQQAABBLILEMxmJ88+IMFsdnIGTAQIZtkSCCCAAAIIIIAAAggggAACCCCAQCJAMFv/LUEwW/81rvodEsxWfYWYHwIIIIAAAggggAACCCCAAAIIZBcgmM1Onn1Agtns5AyYCBDMsiUQQAABBBA4RIFrb9redoVrb27/c/xiem63odNrnX/aCW1vWbPGOf//FxwH/VcO6v/44/zT298TvpZcp+y8bvPjdQQQQAABBBBAoK4CN7/qd+p6a9xXU+C0N70PCwQOqwDB7GHlZ3AEEEAAgaoJxMFpHIoWfb0RfB50a5SOHsajv2D4A35uzVx2STNLg9s43I1fKwp9lzQgb0IAAQQQQAABBComQDBbsQVZgekQzK4AKpdclADB7KK4OBkBBBBAYDULfP/GbU4Ba5yj/sD/2ULXvr7FBawHfTKrcHax71tuQ806nroCWQWzuY4DfrA4oL2gWaF73snHhyk85OyTck2FcRBAAAEEEEAAgWUTIJhdNsrKXohgtrJLc8RMjGD2iFlqbhQBBBCov8C3f/wL9+0f3xJudN36YfdD31JAYWx69PsUs6+gynWxAasCSR2hnUCFqmYPtVp2sTvFHOL3KbTeNznrpmbmWl++8KxGQDszPecedPqJ7r/d95Tw54efd+pih+R8BBBAAAEEEEBgxQUIZlec+LAPQDB72JfgiJ8AwewRvwUAQAABBFaXwDeu+Zn7xjU/DZMeGB5219x8VyuMje/kqK1jbmy4f8HNKUBVhqpgNq6Pta/3qqFKWYWPdhzucNaqZnNXy+r+i4LZ2QMH3MzsATfuw9n40LnTEz6wTb6ucx5+3ilu385d7uHnHO8uesh9w9se3fxnr+vCeQgggAACCCCAwHIJEMwul2R1r0MwW921OVJmRjB7pKw094kAAgisMoGvXf1D99XvXBdm/a0f3eK+ee2NC+5g3ZZj3NDoiOvr72t7bWCw360/atQN+earQwPtr1kA2wgy56PZpVbLxgMv9hrLvSTqNZu7Wlb3YC0d4vuZmTsQ/rh7fLrtNlUtOzdzoDCYVV+IyfFJt+eO29zc9ETb+yyoffXv/Y/wdQLb5d49XA8BBBBAAAEEUgGC2frvCYLZ+q9x1e+QYLbqK8T8EEAAgZoLxAGsfq9f8dE/NOLWbj7ezU21B3U6Z+OJjY/GKxCNw9n1m0bdwFCjWjatmo3DUwtnl6Na1jczaOtdeziWTfeTsbVs6xbT6mEFtbPNNg+TPoi1dgaqlp31f9YxMT6zkKgZzM75Sts922/oifBRD7qPOzA34y592bPD+Y952AN6eh8nIYAAAggggAAC3QQIZrsJrf7XCWZX/xqu9jsgmF3tK8j8EUAAgVUkoBYE37jmejczsTcEsGkIW3QrCmUVzh6YnXEH5+Y/Fq82BqqYtUNVsnbEwWxaNZtWtapqVj1nF3sofDzcfWU1Z5u53YKC2RCULvaGomvprbreYq4VtzNQGwPr8jDrK2etnYGqZQ82A9sFwWzzDdOTM25masbN+iB+/47tne9CD1+b8xW4s1Nt5z26Gc4+/qKHu4sefK571IPvswQN3oIAAggggAACR7oAwWz9dwDBbP3XuOp3SDBb9RVifggggMAqFdCDuL78zR+E2V/xnk/O38WaPl/dOugmd9/lP9LeHqiltzo0tskNjx0VvnzQh30HovMVyiqctcOqZq2NQXytuGo2DmYH/Wf/9f/mfFjYS9Ws9XHttV2Azle3hGYWuWwrmYaxRRfuZY5xHN0pm+4loLVgNq6WtXmpnYGqYPXLjm7BrM6b2rvT/9q18PYaJbrh69pDBw/OX1dfG1q30f/aFPaLvWbhrCpsCWuXbStyIQQQQAABBGotQDBb6+UNN0cwW/81rvodEsxWfYWYHwIIILAKBBTCfuu/bgkz1e+//eNb3Ix/uNP4joLwtRnM6tzp/bvdzP49hXdoLQziF62dQVota+f0+36yg0MDob9sfFjVbBy+KpQd9L1pD/iAb2a2/SFeaVsCC2Ttmr2GnlZ1uhzBbC9hbApZFKgu5TrxdWWo+5FbfFifWYXc6WsTfi/sS3rN6uFfB+aa14iuZRWzdu0F4WwUyuqcNJi1UFavxcFsa48MDbuxLce5wZGB8LAxHa/4jYvCPx9+3qmr4LuNKSKAAAIIIIBALgGC2VzSh28cgtnDZ8/IDQGCWXYCAggggMCiBb7389vcd6+/zemf3/jBjW5qYr7FgF1sav+Mf4DTlJu49+7260fBrF5QsDbjA9q0etZaGMRvtnYGabWsnaNq2I1Hr2v1l43fq3B22Lc7GBpoBLLxMeUfRlV0qMVBUSVpp2B2KSFupwWwqtvwP9qLXqnGGxR/LvW9RUPKUQ/3mrFgVWOorYAfKG5joPeqv6yeAzblWxTMRhWzZcHs3OycfwBYeyV1CGf37GxVycZzmo0eEja66djQ9sKOomB27eat4ZzhtYMLbm3Yh7WPfvCZ7sFnneQuPPNEd6H/JwcCCCCAAAIIHLkCBLP1X3uC2fqvcdXvkGC26ivE/BBAAIEKCLznC9/xVaUHQhCrX/Ghj6crZJv2v1qBmA/sZqYaf54e3xN+tY4kmLWvx9WzcQuD9PZ9vWZbb1m9Pth80JceADY0PNB6iz0QTJW0CmQ3jQ0tCGV1chrMDoXz+1oPrUrnUBbMpqGs3tdLde3Ce2x8xUJhu4b+vJwB61K3loJZOyZ9qK0KWYWyB3y7CXvolwJZc9X5Cs337ZtqhbOtYDapvNV1x3fvb5+ab1WgPTSZhPxqb6H+snGVbPzGNJi1UFbn9A/2ubgvsULZ4dHBBaG+AlodL/vlR7gHnHbCUsl4HwIIIIAAAgisQoFbXv38VThrprwYgVNe/57FnM65CCy7AMHsspNyQQQQQGD1C7z3374TbuL7N273v7aFashJVT5GFZJ2l9Y3NA5n1cYgfhhUWzhbEszqegpnD8xOO1XL2nHwwFwb6MatW3zF46DvU9vn+pPK107yxx+91t3rw2IFrut9ADfsgzk74mDWQlm9pjA6/Vi+vq4K1KL2BEXBbAFZ6TStOjYOX9OxfOHvYT8GvaEemtbaAx5D1bOTM7Nu0j/gKw26LZjV+ZO+cnbS7w89CGxWlcrdglkfyqp9wtS+3YXBbP/wSOgnW3TEwezQ2Ebfr3hj67Q4mLVQVi8ONEP++Hqqtl433B9CfQtnf+txDyGoPew7kQkggAACCCCwsgLbXvvilR2Aqx92gRMve+dhnwMTOLIFCGaP7PXn7hFAAIEgoPBVv35w03b3nzdsW6BiH0+faVZH2gkKbFt9Qv0X9+9rPORJbQzSoxXOdghmFcI2gtj2/qV2raGxDW790ZvdkK9uVFjX66FQ9vgta92Pt81X7sYBrQLYAVXb+sAxPhYbzOq9cbhaFuDGY3Tr+ZpW3BaFv706LNd5avEgLzusr6y87t6z8IFucTCr9yic3evPm/XhbNExOT7pW1v4iutmaLumf8D1DQy6iV13tYWz/b5fbP/wWremr9/vh/a103UtmNV5azcfu2AotTNQNfW69fMPkdOf10T9K3Svoz7Et57E6UXOP/2EsBef/ZgLCWqXa4NxHQQQQAABBCoiQDBbkYVYwWkQzK4gLpfuSYBgticmTkIAAQTqJRAHsfq9Hco6w0fSk1zUgllVwSp8syMNZvX1fbunfI/Q6UKwiV13++B2xle7Rv09w8fgVTnZuK6uWRTMKpRVxeOQr1y0dgUhnO2Sz4758O2ckxuVkr+4Z9ztn2oPAxXGbvAVtOt82Jses745qkLH9LCHaoX5lmwNm5a9Hk/TMmV9zS5f1MtWly6quC1raRCu6//PwWV42pgqYouqhTUnC2bVZ1b9Y+28rRuG3bivSr75rvE2ldGovYS9sGvnfjc5sTDAF+js9Iyb8uGsHX2Dwz4s7VsQzA6MrvN7qbluPphNA1oFs32Dg4WhrK6t1gUbNrc/KC4NZhXKNnoNr3EjUZW13q8AN91+qqhVSKuD1gcl3xx8GQEEEEAAgVUiQDC7ShbqEKZJMHsIeLx1WQQIZpeFkYsggAAC1Re46otXh0m+70tXtx7UlM465JwK5HywF2d7CuDsCGFlMy1Mg9lQLauwrZlG6mFP+pq1O9A19t29PQSzrRYFzUB2fi4KatvjTgtldY7aF4yumw92u4WzZ/tQdn3zQU9pMHv8phF3/FGjocrT7j02KQtmFch1Cj/j2Xer67WK2KJK2LTitpdqWfVy1RHC4ySgbQXCPVQb9/tz7Fq6XhzSan9MFyTGCmZ1KJy92wf0+qeOOJid8NXUE36PhH0R7Stz15jTE9Nuct9Eayn6h+fD07hqti2YtbOjgFbB7OhRan3ReCCYQteBZrjaP6C+t84N+XA2bonR59sWWG9itTCIq6jXRm0OivZL+v1kwSzVtNX/+5EZIoAAAgggUCRAMFv/fUEwW/81rvodEsxWfYWYHwIIILBEgR/cpPYE2317gkaLgvRQ+Jm294zDJgtndZ490MmuYS0NdI6Ff3r413QziBuMHg4Vj6swbu+uvW52YtzNTs1XRC6c23wQHIeyIVxLgtnw3magnF4nDmX1mgWzFsjqa6oAvrfZeiEN24qC2Ti8XuLStN7WLXiN2xj0EsrqwnGYqj9r/RbT9qHJGSpEy8LHQf8gNfWR1YO/4sOCWfuaKmcnfG9itTKwQNZeKwpmB9RGoBka77pjV2NpfXqqilk74mBWfWPLjoGRUTe6YZMbXb+2Fcam5x7wwbC+B/TwuMFmVa8Fs9bCIH7PsJ+fvt5LKFs0LwW19z/1eHe+/smDxA7124f3I4AAAgggsOICBLMrTnzYB4iD2UsvvdS99a1vdY985CPd5z73ua5zu+SSS9yHPvQh/4Dbfe4FL3iBe9Ob3hTe8/nPf94961nPCr//yEc+4p70pCd1vVbRCZ2u88IXvtB99KMfdWeccYa75pprlnR93lQNAYLZaqwDs0AAAQSWRaC9KrYRyqVBXTxQ/IAufT0NnELrAl8ZmX6k3VoaWLAVh7K6TlkwO+kDUFXUqhXB7PSUm9rb6Pmq38dHaG3gjzSUtXPGmpWZKVpcPWt9ZeNzVBmrXqGqkrUjDmZTgzSYjX2Kgu3FLmJRD1oLYO21XgNZG7ttjv6LCs4XGyQ2xmxU3ha91x6cNuF7xMbhbBrM6v033rHXTUzOhSrZ+Jjxga2F+lo3hbLxMbFvMlTNpsGszlE4O7V3lxv0rQzSY2TDRqdfOuZmD4bQdaRZMZ2eG1dyWzhrway1MIjfo72jCtrFBt3puKpGVkCr41m+7QEh7WK/czgfAQQQQACBPAIEs3mcD+cocTB70003uQ9/+MPuM5/5jPv617/edVpr1651d9xxRzjvuOOOc/v37w+/P/nkk9273/3u8HsFqLfcckvXa1122WX+34cHnMJhO8qu84Y3vMG97W1vc9dff73bsGFD12tzQrUFCGarvT7MDgEEEOgqEIex8cmqBGxUSzbaExQddo69VnTutK8obfSdbW8voNByxgdzUxPzlbJ2HYXB8cfDZ30Ip0B2tllhaT1i7XwLaS2g1bz7h4Z8b9CthfMuC2bDyf5WT9iyLvSM3e0fRmbHHt/39vQTNrijN85XX+q1e8dnfPjcXvnZqor187CeuqlNUauArouVnJA+2Ku1DtF5Zb1ny8ZKq547rW3ZNUK1bPRifE3NZzAKUeNwNg1mFYTv2DcVHhA35Suq4yDUgtl0r8RzUtWs9ZeNvz47Oe723XVbK5i1INb+aecqmNXYal+gfrLWxkCvF/VHVjg7NDLoRkf8P5OgeEChrK/W7vSDjl7XX8FseiioJaTtVZDzEEAAAQQQyCNAMJvH+XCOkrYyePvb3x4qUXsJZsfGxkJlrP698tOf/rS7/fbbw63o66qiTX//hCc8wX3ve98LX7/gggvcV77yldatv+hFL/LFLYPuHe94R+trZdfZsmWLu+KKK0Loy7H6BQhmV/8acgcIIHAECqRhbNHH1eNq2M7h7HxLg6KKWfG29RqN+pbu3DXhpn04q4A2PuKwzapk49cH/EfbywIuhbP6Nbh2fenKjvoKSPULTQ+7Z30sfaLgAWQXPfgEXwnaeHiVHUXBrF6ThcJXBbNlfmnF8WK3YlEwa1MLz/HSHwpaTnQbR7bdWlV0ukZRcGgGaTCr61g4a8GsAtm79zaqoHUtyyHVc9gCWgWzusc4wE/npKrZ6Snvr2awCxZ72s35HrJpGBufZsGsfW14dKBVPRu34bDXR/y+GfKB/hbfe1jVsQM+iG27Xui9XPa4t26rMv96ka+uqx+gyMRCWr2DatreXTkTAQQQQACB5RYgmF1u0epd71CCWVW3vu51rws3pZYGz372s8PvVUlr1bP2e1W5KnS97bbbwjlbt251r3rVq9zGjRtDleyePY1PEqoC9vLLL3cKaouuo3MU4G7atMmNj4+7V77yla05VE+XGfUiQDDbixLnIIAAAhUQUBhb1i9WIVNZqGpTD6FPyZOoLMRLqy0VHOprcZBp11OPUVWa6jWFszrGfRinkNY+ml4Uyuq8TsHsGh+I6f2NOamHbaO6Mc7DhoZ9RWOzJ6iFo/bAMF173cYRt/POxk+p7dg4NuTOP2dL+GMczipE7HTMHlAwWwx3KMGstSqwINZ6umouIfrr0Bu2LRos6RVclh8q7O30QLK4jUHqIoYh2tMecQAAIABJREFUX31qbQ7i1xXOai/sn5prhbJ6PQ5m7XwFtHvvnSzdj3bepA9m5w7Mh6PKZ20t9OAw3aPmpPYDIcRODrVKmJ1pD1KtelbX0vs3NttibPJ7Juxh3ydZD/la7yts00N7YRly2WASHwplNcsie0Lajt+evIgAAggggMCKChDMrihvJS5+KMHs0Ucf7dSC4ID/d0SFqTt27Aj3VFTp+rSnPS1UyCqQ1aF/p1WPWqt6XUzFrN6rit5TTz3VnXXWWW5qqvN/z1QCmkmUChDMsjkQQACBCgvEYWwjECp+kJMFhGUfY7db7NZvtvUR/lAZOA+jj3HHh0LZKR+updWnds6uHfvdxN7p1sPAUmJVSaYVrwpk+6IKRfWvTQ/7+LlCWb3fwtj4PIWyCmcnfBuDuGo2DmZ1vuYuN3vwl11jvb/2el81aefc0az8VHgWTymEaYuoZm3L4hQ8+7HL1sPWs9Prnaqgw9wL9rWJWrDaiAMbhwWOFg7a2HHeqeB16/phN1rwcDe99oNbd7u7ml523aJg9mh/jVvv2OdmfAiqgLXoUNjaP9Dvpn0LjBkf9qaHBbPx19OQtiiY1fnaO8edsN5tKuhVrGB2zq+N9kAazqYtLwon7r+YRsRpjW0czDYC+sYZRcGsvaY1I6QtE+frCCCAAAIIrIwAwezKuFbpqr0Gs09+8pPDtD/72c+2pj8y4otBdu4Mfz7qqKNaAelJJ53krrrqqvD15z3vee7WW28NVa1XXnml27Ztm/9vgD735S9/2SnYPf/888N5L33pS92Qb+Wmh4/ZUXQdvaYq209+8pPu3HPPDf1sCWartKMWPxeC2cWb8Q4EEEBgRQXKKmPne8YurHxtb1vQiIWKQstuLQ0UDYXwM0mS7En0uq6Fsvp9UTCrqtlxH4quHRsOAZgeDDa+Wx9Jn225xcFsGsjaSUXBrF4bbFbL6rpFx0bfX9aOuGr2/HOOdhv9nOJjj38Y2XHNcC4OZO2cG3eMu/GkTUP8frU5SK1a829WQZZtlqIq57Bu+tW8aNF6xa93CtqLPi6v69tH5ouqoPW6vp4G8XYPCgeP9m0kNq8bWnBba/1a671f/Ok9beHsQJTsqm/rFh/K6rjJB7M6Jn3LiTScHfAVq+r3GoJVbzzj1zoNZ/X1ToeFtFYxGwfjI756Wntzo59LHM7O+vH2R/s0Dmf1faHXiw65WDuRompkq4i198ZrMxeV4KbBbC+VtLQ66LgNeBEBBBBAAIFDEiCYPSS+VfHmOJh97nOf6z7xiU+4yclJ94AHPMB997vfbd2D+rqqUvXuu+9ufU1h6gc/+MFQIfuMZzzDveUtbwmvqd/sc57znPD797///e6pT31q+P0jHvEId91117n169e7devWuY997GPugQ98YHhNrQ8U2CrstaPsOmqboLFnZ2fdS17yEvfmN795VVgzyWIBgll2BgIIIFABgbhnrAWq6cfn4+rMNJBLP1If+qNGGVIcSjU+Ml8c3uo9ReGTsjWN2Qiu5qsXdRkL3iyQNU716hz2D1KKDwtp1V90aMhXpfqyzrhKNj5XHwmKCjpDL1KFslZpqwdJxQ+T0nutjYFdJ66aVX/Z+LjTh8VnbB51p/sgd7Ik5Lvu9kavp6JDodmMf7hU0RFXQRa+Nwr4uq1lp9c7Be1F1ZfxvAaT/qnxPId9u4L0iK931jHz4bfOU9C4NnqPhbOhh2wzmI1Dzkkfdt++c6I1RBzOWiirFy2Y1e/jcFbfC3P+oV5lx9r1jeB4rQ9e79m+t+00C2Xti3E4mwazOkfVvcM+xFUVbdxfVvte9zbiq4cnfQX5XJc2B3E4aw9XSwNbs9Q/O4W56X3z4LDSrcALCCCAAAIIHJLAnW9+xSG9nzdXX+DY//W26k+SGdZagGC21svLzSGAQJUF0gd42VyL2hLotTiYTQO5NJjt9uT4smpKPfBIgd2sD70mfHiqQ2FVCHr97+NQ1uar96ShrF4rCmbtPeo9qyrJA36cosrecL9+XHvNqmTT9UzDWWtjEJ+nqtm4jYEC2bv8Lx1P92HtFl9Fa+0K4veNT8+6G31LhrJjqdWyccWrrh2vZfragtcLWicspmo2rs5UOLiYqlkLEzWnzUnVrFXLxlYf/u62xsO9fHiZtgVIg1m9T+GsqqdVKWuH7RH7s4WzRcFsHMa2zvc/RNgdreGg/2GB9mV6WDhrbQzS1084atR/HzT6yyqk1UPB7AcSCmzV1iPs2S6tLSxstQrbomhZ35tFgW3sX7op/QsKaZ/5mAvdA05r/0FEp/fwGgIIIIAAAggUCxDM1n9nEMzWf42rfocEs1VfIeaHAAK1E1Ag+74vXd0KHdPK2LQtgVW7pqFPWT/ZTg/5MsxOD3jSg4/iQyGtjjkfzRZVKd7RfMjWft8LND3Wbxptv9bsXKhyDf1hfZalytkQaDUrSBXUhj+Hh341gtmyUNYubC0N0mpZe11Vs0P+hvXgrziU1esKZk/yodu9fu73TrS3RujUxmC5qmVb6+HnN//As4Vb3sLXooeN9Vo1WxT29Vo1m+6XOJhNq2Vt9uo1+yXf1mCTD3HTXq1pMDvg98Ogr7jVQ+RsT+g6s74SNQ3uFc4q2FdIWhTGxnpqf2DBbFkoa+ev91W2J0VtMOLr6IFnsld1bHrEwWxr75YX87aqbu1hX0V/wRW9vdP3bHwNq+o9vxnMPsuHtLQ7KFLmawgggAACCHQXIJjtbrTazyCYXe0ruPrnTzC7+teQO0AAgVUgUNQ31oLWbtWvFrQWhXJpYNftgVAxVVnQo4+xpxW1mqvGUo/Q+Nh+72SoHBzzVYgWzN69Y6L1ewtmZ5uBrL130Lcx0PVmkiDOXlcoq/B2YEC9OzsvsFXNFlXLtsbzF5kq6A9qwazOS8PZTm0MlqtaNr4zeRStsc6ZD+eLLbpVzZa1Vui1araowtraGRRVy2qW074i+oe373Xb/B4Z8w9Ui/fOLh+W3+t/WSAb39XkpKqpG4teFMyGlho+3NcD4LpVhlswq72kFgbpYdW5Q75FxlH+df1Q4sTNaxecZy0O7KFpbfP14XHc4kCvFVXOzrcTafSj7XQUhei9BLNlPWlpdbAK/keCKSKAAAIIVFKAYLaSy7KskyKYXVZOLrYEAYLZJaDxFgQQQKAXAWtVoH/GPV7tvUWtCewBX+n1y0I7C2LLHiTVaZ5lQY+1M4jfq49xq7oyDtfU6uD2e6fCacdtbH+olr6moPauXZMLHuyk1+Les/v9R9jTo99/pF2hXXrM51mqpp1/VeHsmK/OlcNB9aZtHo0/H3RH+Qd87U0qYnVKHMzqzxbOdmpj0KlaVteI2wWk8z/p4J64bW7by1oPu6WT17T3RS1ax1sPrm99OeyD0Dhg4aHXdG5ZFNitarZsn1jV7PqowlphrI7pZgj+U19NfeeeKTfRfICa9o9CWgWz037NVCVbdFg4Gwez1lt4YKDfrfFvU6V02Pfq9drsl5sGtQpm9/m2FXEoqzC23wf+9h6Nf4LvNaw5al4n+t+n4axaHCicTQPqtFo2vhfbn+n3ftn3eOrQqf9skVl8fqcQl5C2cMvxRQQQQAABBAoFCGbrvzEIZuu/xlW/Q4LZqq8Q80MAgVUnYK0KbOIWwKahUXFVXfdquhTEHvTVrXqwMLTzXyyqAozbGcRPo1dlrB033j3ff3XzusG20HavD832+V+q9p32odZM9KR7zVMVs3akVbNloWzZRlAwp56fyiVVSZkewz6IO9a3K9jrg+I0nP2/H3/mgvPv8EHif9251403w8T4hBN8sKpqToVgJ7n28PQk13hQWCtcTV6v2ka+1TWC3TjQ3bZmPuy9zW3wYXyjD+3tfRsXTH/Uf6z/9KNH3bC3VyBrYaydqD2gYFbHfm9p4az+rOeB6YFZFlpar9t4LyqcnfRhehzI2rUVzOqwcDaeXBzUzvkxpvzeG/HtFNIw1t6jUHbU75Ht/mFkNsc0nN3dbNORBp5FwazuSfeXPLuuNcWyquii/ZFWOpf1hl5siKuxFNCqxYH9s2r7k/kggAACCCBQBQGC2SqswsrOgWB2ZX25encBgtnuRpyBAAIIdBUoe5CX3hgHsHF4uth+oTaJhZ+C1sO55uO1Th+SjisrFR4pliv6WHXczsAeeqSzVfGoX2phoGDNjjH/UXALbS2UDVdvJm9xONtoUdDeq9PC2cWEsgrgdPT1+SrMtQMhnN3ZfKhXvGBbfSg70qzqvMeHrqrUtKMomP3Gz+5xj564rnWOwliOeYHb+za0/vCDYx7iRv3aFx1xMKvXd/hqVDsU+GofK7AtOiywnVIw26yGjc+zYFZfKwpn9fV1Powd8T9IGPcBcdmh9gWbmy0O4mBW51s4q0pZVczaEYej+h6I2xhYKKtzi4LZXqtl4/mGB8Kp57L/Z6dK2DScLQtxiyyoouU7HAEEEEAAgWIBgtn67wyC2fqvcdXvkGC26ivE/BBAoNICcXVsWTuBopYFjeBmPkJdTG/YIpA0sLErh9DVv6iQJn3IWDqH+LrWziCultXrobLR/39rYRC/R1Wzcfim1+IxLZy1/rJt4ZOf56xvjdBr1a9CWQWydmzyD27Sod6ve5PWCKccO9Y6b8oHaTv8Q6nsSINZhbL/fv0O95cn/qTS+64qk3vD9IXuZF9xeor/lR6qllU4a0dcNav9pepYVZyWhbP2Pj0Qzh4OF74WHpTWPpoeBmaHAtmxdfP9ZGd9NW9ROBuHsnrvDXc0qnvj49wTN4Q9r3DWjvh7zeYeB7J2XrOrQ9v1iqrke11LC4CLKtztGnGIu5hg1t5v1bN6YBgHAggggAACCDhHMFv/XUAwW/81rvodEsxWfYWYHwIIVE6grDrWglZ7WFcrLFG1W1TGGveF1TmHGsoWBUZxUKNARw/oWkwwq/BnxPf/jKtldc2tvlfrcFLtepQPZBUCXXvrbrdt10To+dmaU5KgKZyNMzWr1tXcVEmrAG7OJ1ptQVy0A9JAVi8N+JBvzIdxdkz4MHCiWeFobQziTRS3NIiDWQtlde7Lt9zizh6eb9VQuU1YgQn9wvet/eDMOWEmG0cH3P19iBkf3/3FvQtmaeGsBbM6oZdwVvvkwGzjmyhsqSSY1feXYnrtg7Jwf9y3RphtPlQsDWXVwuDegl7Ho77lxmnHrHP7oorZMAf/S2NO+R8EFIWyeq3gWXOlD3db7uXU93xcRb+U61NFuxQ13oMAAgggUDcBgtm6rejC+yGYrf8aV/0OCWarvkLMDwEEKiPwd//2HWehbFGYGlfAxuFQ2RPaQzFrqP4rfmjTUm68qHI2rrSzXp527U79LkdDMHswhLFqVbDOP7SpEYwtnO+Y7zf6PR/M3rB9jxvwv7dwNj7XQlg9qOtAUk5owazNKw1oiwJZO9faGMReFs7GbQzi1xXObhwZDA//umXH/lAlq3/a8ZT197inbrhnKUtwxLwnDmZ10wpnVT27cXQwVMpaf9kUZE+zX2tc+dlLOKvrHGi2oQj7q/m9Y3vM5/Otw66tAFiHfT8qnF3v56f2Beorq2Nts9+x9ZGN5/vYMza7Pf4BYjr2NsPZ25sV1/f6Kl3t6eIH+xUHs/G121uSWKOC+TOKrruY/rSHuhHt743zfR9aVdCqHy0HAggggAACR5oAwWz9V5xgtv5rXPU7JJit+goxPwQQOOwCcSAbTyYNVctaE5T1lez1Y/uLBYg/wpw+PEhzjtsaFAU9Cm/1a50PY0/fsnbB8GkwO+orXVUJ+bO7xt1OH1rt8r/6fF9QVcDq3KIetmpbEFfF2rnpYHq/KmJn1MuzoAQxrZaN369w9phNI6V8fR7neB/QKZRND4LZ7rvuA75a9hZfNZse9z9xfWhTUBbMzvhQXhWq6Ufyu4Wz84XYfk8VTC8OZotmr/HWjfS7E3zPYT24LD0m/Z5UBawd99s65u7n22Bs832JJ5KHyu335960c7/vszwXKn7TQ19a2Au62NT+fuj2Q5rcoazdVfz3CVW03b8vOAMBBBBAoF4CBLP1Ws+iuyGYrf8aV/0OCWarvkLMDwEEDouAwlgdViFbNok4TEmDE3stDWa7BTCHesNx1WwazNq1FVLpl4WmeqCXDvunfq9nLh3lPxq+OerXqa/HweyQT8uG/ImqJoyDWZ23zldQTs/nXG23pVBW4awdqrKNj/Ax7GYS12jD0HhVxnP+4+j6p351CmZ175q/7qkoPNNH1+/aOVEYoKmNgdoZcJQLlAWzqrRs7K/291p+qXWZmp1rBe1WxZ32nA0dC0Jh7Pz62xUbvVT9r2iITsHsYPOhdZua+0F7atjvOf3TjjiYtVBWr6XBrELZ2/xD5uyBXKoqn0oC2qIHfxVJxn83dPp74XCFsuHvgYLSXQJa/mZAAAEEEDhSBO5+2/88Um71iL3PY17xF0fsvXPj1RAgmK3GOjALBBCoiECvgWw6XVW/FoUnFmLO91Jd3tYFZWwWzqZParfzlbUM+kC1qHJQ54T3N5+tdYKvOo3Ps3uyUFbnWzCr32+/ZzxURI76itv1PtS9d3/jAVBp5ay1NIjbGMSBrM1V2VnagkGvyVuha9Fr4XWf2ul1PZSs6NBH0Xf4ashZXw0ZQjb/hrjKkQeAdf6m1IO/7LCPvVtQql6uWpc4+LRz5zyyqmat32s6SrhWUUlswXRCZWrz683uBq2zFMbqiH/YYMGsnZQGtGpncIzfs4/zLQzsSIPZW30oO6GKb+2ZaE5xQNtLMFtUSV9URZ8rlC37IU7aHiVeBgLazt8jvIoAAgggsPoFdv7V/179N8EddBTY/PtvRAiBwypAMHtY+RkcAQSqIlDWrqDX+VlRWdHHl+3j/OlDwXq99lLPs4rYODyySkYLV9WDUwFtesTBrF470z8AyY4QpPpfamFgx3YfVt3uQ04d1s7gaN+bVr8UgFo4a+fH/WaVhqr1QVEoq/PLglm91pjLwuDWKip1jvrjjo00+uPGx51+zpO+RcKkb3kQHxbSvv2EnyyVvvbvU3/Z90+fHe4zzVD1PWAVymk4G/+gQOF9p6OoN3PR+RbOWjBbFMjqfdrnelBd0WEB7awPjB9xyia3NaoS3+nD2p0TjT1ioazdd1GbDrVDmPb7SgF0OK8gZO61vUmuUNZMin6Q0ymYtfcR0Nb+W54bRAABBI5YAYLZ+i89wWz917jqd0gwW/UVYn4IILCiAmpV8L4vXX3IT0svCl3jQGYZn+/V8rDAxHKfOCSyrzU+Dt74uHZZZWlROBtCruij6HFLA11PoWz8EWe1MbCHI2ksPQTMgln9+eZ7JkrX8aAPw9YUhMP2ho7BbPP+4nYHel/a9rMonLVgVhWz+tV2+Ht/ytjd7uK1d6/o/lutF79pbsz93dTZoZVEesTBrO07rU8a+nULZvXeXsNZ7Xftb3ugV5FrWi1r56gNgR0POnGjO14/UPAPCLPDgtkd+6fdDv9DhviwSmH7mgLp9L7s7wG7/1BNW9KAtlNrFI0x/z1Z3Lu5235q/F3QXhmeviddp16CWbuGLq8HhT3z0fPV1N3mxOsIIIAAAghUWYBgtsqrszxzI5hdHkeusnQBgtml2/FOBBBYxQIWyLaFLAUP8enlFnNXwsZzKur/GIckjTBnYXiW3lcazhblpBbOrvW9OdNx02BWVbN60NLa4UalalHVrL4+5IM9TU8fa4+rXNMiQ82v6IiD5/icoqVUS4P4Y+2/uGd/65Jp1WyfH+/itXcRzJZ8A3xp+jinX6EiNlkbhZNp7qjz0m3YqZ1BPGxZdWncf9aq0ufbGvget76g2/apWgRs9YGrhbDab2nf4Y0+jL3gpI2toY/2PZIV0CqYvX7H/gWhrE6Mg9miUDbla+zxeZ/UyoLZ9EGCodNu9C2w1Epaa5XQ7f1pONvp75n4HuNg+X6nHh8CWlXTciCAAAIIILBaBQhmV+vK9T5vgtnerThzZQQIZlfGlasigEAFBa65YZu79ubtoUK27Oi1Qs/ev9IP8urGWFbNlgY8Rb0r02tbOJu2MbDzTjy4xx0zNuzcpq0LpvW9W3cv+NrUzGwrmNWLd+yeCq0D7FAoq6BUIZE+/p0ecVBbVJmp8+NgVvesysz4fek1j9vo5+8PPejpTj8fO+KqWT10TNcimC3ffe+eOMupalaHKpqtfYD+XBTMKujTWsXn9RrM2iz0vakHgYUx0yeLNU9KK1jtvdo/6pOsgLHs5xTn+1B2U1Qp2xp3151u35TfLwPzoW08J+23xYSyRaqtqlr9RMFPMNxryUSLgur476Gyv8PSHyAtJpxVC5TuP95pPqwtmbcC2v/xqAe5C04/sXxD8QoCCCCAAAIVFSCYrejCLOO0CGaXEZNLLUmAYHZJbLwJAQRWk8B7vvCdMN33+n/2+4Cm7CP9bWFLjw8f6iXwXGmruJotDYrj8KWXuSqcVViq3EtB7An+l46HHdgW/vn5ia3uPwdOducdt95tGRtq3VpRMLtt14Tv67km9PUc8aGYQlmFszoslLULdPpYe/zx7TSrioNZXUuvK0QqO6ylgSp4dycfS1c4O6e2Cs3Q78zBcfeyjTev9PKtyuvHwaxuILSb8Gst+6KHeoUKTP89FZ+n9/XSziCsZo/BYPpALr1Voaz6y1q4qO2RBrRptewtO/e73b73sB4G9ow1P3Enu71hne7s3+iuGz618Xsf1Gq80FO24AcL8cJapWy3xVabA1X6WlBb9Bw0+57u9EOhonA2/f4vq0SO52iVs722MyiakwJ4PSzt/NNOcM99/EMJaLttAl5HAAEEEKiUAMFspZZjRSZDMLsirFx0EQIEs4vA4lQEEFhdAhbI2j8blaDz/VY7fcK/l8rZw9nCIF4JC03SUKTXp77H13pU3/YQXD/CNYLY9Lhhdp37q71nhC8rmFVAOzzY59TKID4UVO0cn3YKZTSPEX+OAlqFs/t99WHcUkDvK6qeLKoCTO8xDWYtmLO1VZ2fFVdaBaLC2fGp2Vb1bgiffKVi4yFS4f+0jv93y49W16bPNNvX7Htg4UgKQYvap1owa2+yFghFwazF6r204EgnkQazFsrqvKJw0ULaC07e6Pb4EFbHLf4HCvERB7Px1xXS6vjWmhPd9jUbSuUXE8rq3LS/sy4836e28ftOf3fZRNK/w4p+MNPL33NWhdzpBx42Zvz9qSriGd8yQu/X97cdF5xOQJvp25RhEEAAAQSWQYBgdhkQK34JgtmKL9ARMD2C2SNgkblFBI40gXd+9lu+Sq7PWSAb339cLasApFMVaRxaxFWbul4vwUg4rwC/x2Lc0mUruma/L7NL51Tem3P+49ynrNnr4l+97JX/tesBbaeddNToAkcLZhXKpBWUCmm1DmnQE4d0C0Pm+b6c6Wt2naJqyfR+zEhzUoVs/BCmELSrFULokdpYpZf6itmzfOUsx7yAWhioYrboCG6titT5nZoGs3qv9oCCcK3FoYSx6TwsSIxDWTunqFfqrF/vtUP6/imutP6fa8pbn8RjK5y9uv+k8CULahcbyuq9RcGsvh73TS55dtiCJbG/w+IfIjXeO//9pErnxt8V9vaFPYJluphgVkGsQtkwkv4OKGj6rID2tx77EHfhWQ0zDgQQQAABBKooQDBbxVVZ3jkRzC6vJ1dbvADB7OLNeAcCCFRUQIGsjnd+7tuhIjOEEclc0zYGoWKupF+l3ruUENWqOItinvShOppe2fnx2Ao3eglG4qC5rIfkRf3bg42qY5dypMGsrnXy5tG2S6la1j7erco5e9CSvPWxcjvCR9ubIe2Ur6YNvUi1bglecV/Nxnly6SWUtTF1renZuRDAxkejt2xj4EagddBdPMoDwNI90imYjXu8zrcMWBP6CJt2ozXB/FV7DRl73avWn1WV3OlhVbMWFGpfav+NNs9Nf1CjFgaqmF3sYcHsd/pOdNs6VNPqumpfEO/Exp5uHzFUczcrZfWaBam9/P0U//ChyHpwwK9PWzC78G61fo3vDQtbi0V0imwtlLXvpaJgVq/tmZh1F555onvRxQ8noF3sJuN8BBBAAIEsAgSzWZgP6yAEs4eVn8H1n0b+X9h7+fd6sBBAAIHKCsSBrCYZh39pOJuGsI1QsDiAXWzgp7Hj9xR9dDoNZu2cbh8XnlNg2bx+t4WwYDMOZhXG6rio//Zub+/6uloZqKVBw7qRIG3wT7BXn0474mBWX7OQNg1m7XytQSO8LX84U1HQvJR2EgqJ9L98B3wiFoezcTBr83rSyJ3uST6c5ZgX+NL0cU6/io6yh2/p+yL0eF0QOC6szjxU6/B9ou/rhbls+EbXnrEfFGisOJgNe1oBfXMSSw1m03tQOHt1QUibhrKN76n2YDYOTdPXwj7u4d/iOrUsUDCroyycna+6nf9+L1sjnTsRPeBP583q+6xgjvo+VFsTOwhoD3Xn834EEEAAgZUQIJhdCdVqXZNgtlrrcSTOhmD2SFx17hmBmgi89WNfcyNrB93fNh/uZbeVhn9xOBsHs3owlVWhKviMjzgw7SH3CG8tek8apsYP04nn1ekhOxrfAq9O1bjpsiqMPaVvnzvVtytYzkMPAPv85LELPvodV83esXuybUirmi0LZnVyGh5Z6GthXqenyPfyYDObUFzNN+crZ+3oiyp57WtnDoy7319/43LyrfprvWv/me5m386g6KP/aTBr+7X1/ZGUgjaCxV6/w3qjs4rcossONMePR0wfRBfm6i+i+1Ov5UeuWVpledlsLaRVEHqbW9ibthEsN96dhqVF1bThvKTqtmjssnDWgtl0vIXfj+XBrM1Lf5+qj7QeiGZHr8GsnX/Bqce7F/sK2oede0pvC85ZCCCAAAIIrKAAwewK4lbk0gSzFVmII3gaBLNH8OJz6wisZgGFsm9rBrOD/mFOQyPz1ZpF4Z8FRFa1F4eyjUBi/qPW+rM9wV2/T0PbIrc4gC2iEbTmAAAgAElEQVSqirUQtqzyNX5PGubGwayNHc8vns9KhbHxGApmvzC1sGLSqmatv2zqpHBW9xm3MojP6RS89rJXe6meVVgXf6y6VTWrKsXCEkvn3nzUdb0Mf8Sc8yd7L2jda9xeI+2nGoey9obWDxaaJakrEcza93ja11Z/L1gwG1eZqo1BUTsTnf/Mvp86Vc2u1KFg9tv+4WE6rOWBBbNFFaxxaGtzsrYGmm/4fYfJFoWzcTDb+LtQQW9xJXP6A5A4KI7Xe7dvUWBH/OCveGppxWwYW71pp+fc1P6ZEMz+4a89ioB2pTYf10UAAQQQ6Elgz3su7ek8Tlq9Ahuef/nqnTwzr4UAwWwtlpGbQODIEbBA1u5YFbP9vp+sjqGRAaeqx7KqTAUHekjWkP/oblG/Vgtgy6pci5TtI8/x9Yr6yOq9RefaNcsqdkNYkYTG9h6bZ44wNr53tTFQO4OiiklVze6bnHX7puaDmfi91tOzyPJQg9lg3Kx0LPuOsDYGbXNS1SzBbM9/icTBbMO88dH/OJgt6u8cDzDfG7i3ilk7P+5VW/b9GIeHccsChbJWfd2Ya+MKRcGsqj51/Pbgz9zp/ft6tjmUE+OQdnvfhsKP/6fBbBzeWsF3t36xaThbFMza31XmZ1ZmW1S5G/8daFWzZQ/+kpN6SseVtQplD/gHhs34vzsUztpBQHsou4r3IoAAAggcqsDeqy471Evw/ooLrH/uays+Q6ZXdwGC2bqvMPeHQE0E3vyBz7kr/3Xh09FDtezwQOsu+3x7gmHf69SqMhuBwnwN2chgf+thUymNBaALqlGblWg63wILe69Vs8ZPe1+OYFbXt3kUXe/RvlfsaX173am+VcHhOIoeAKZ5qGpWYY71lG05ta1DcR/Z5Qhmu1k0HxTfdpqqZsPapg1Qm2eplYFaGnA4d6NvYfC3vpVBesTfF2WORe/Rub20Moj709qD4IoqQ9M+tlaRG1fLxntS1xjzf4foUGg/6zdIHBa+buz7h2XZiyppbSJlAay6NLSC5+bDvMqqZ+Nw1oLZ+IFiRb1sw9+k/oIlheULftilcHZyZq6tQj3GjINZC2X1ehrM2nvOP2mz++jrX3xY1oNBEUAAAQSOXAGC2fqvPcFs/de46ndIMFv1FWJ+CBzhAn/2t59wf/a3/+zWbTneDY6MtKpjjSUNZvX1gaF+NxKFtXbugA9tx3zLg4lmNZaCDPsIc9xr1kLWuPqy6CPAae9Xu0bZA77s/LQiV/Mra5egudj1FMbqeMzAoT/A61C3VfwAsPRaahNhIU6ncdLWAzmC2VBNWDApra9VfaYv8wCweZFOwaxcW32BD3WDJe8venBYUUBb9oAxfR+luXsIGZsV1nEYa0OrUvYFoz9f5jtZ/OUspLVWBwpmC9scqOo7+clRp+pZ+ztNwWzReQUtlxs/mGr2TIi/j8oqpHeOz5QG7+P+wV+hvUmzUtZkJn0bA30tPvR3w/TkjLvnhp+4P/m933Cv9r84EEAAAQQQyCFAMJtD+fCOQTB7eP0Z3f/rtf8X8+V96gaqCCCAwDIIWCBrl1IwOzA80nhiuQ/+LABKg1lVy4Z2Bv6NaUgx5lsdDPjX1PNQlXHxYQGNhbVFVX9pOFsWwJb1iy0LcjWPsmBWIaz+lq5CGBt72QPA0qW2gCa177QlLKA9nMGs7Ze456ntEILZ+dXTg79u8lWzdsR9RcP3R8FCW5iXVpsv5q+Joh6w9n7rJdv4mP/8DwVsNp3+Lacxt/m2BvGcqhLMxnNSSPudvhOLHxpWEsw2b7F1mbh4XXYyKzIqe9BY2ldYb9Zfp/HfqQpcG21DDoYfhOl7XJW28XsVzM74ilq1L4iPNJht9Ls96CZ9yLt/191uas/OcPpn3/kad9FD7ruYbcS5CCCAAAIILFqAYHbRZKvuDQSzq27JajdhgtnaLSk3hMDqFnj933zMvfG9n1pwExbM2gv9vspL/7FvwazCWIWy8ZGGsxbM6hyrmo3P10eah/2DgGZ8UGBBhQWm9mcLZ7u1KwhhSLP3po1R9B5rVxAHs6eqRcGafZULY2OromA2DrOLgvGq7MyidgaaW7PQtzVNC2nPHBx3Lxm7sSrTP6zzUDB7sw9my9oVlLUl6NZzttNNxYFr2XnxuIv9cbNC36Lq218ausPpV1WPtJI27j8bV8CWBax2X40OwfO9rGO/oqrZtD/3Jt/n+xc7JgqZNvrWJgpg7/VVsHbYD8HU5mDav5Ye+/dOtb5koay+oGBWlbS7b7u+9fpFF54XqmcJaKu6S5kXAgggsPoFCGZX/xp2uwOC2W5CvL7SAgSzKy3M9RFAoCeBr139Q/fV71zn3vief3X9w6Pu4IH2/2BPg1ldVJVew2sH3Nr1w25waL7PbDxgCAH8F6yNgb2WVs0qlFVwGwIA3xuxKGCywELvjZ/qXnSDRdWBZWGugg69drj7xva0UM2T7AFg9p6ioC4NOhdz/ZU8t6ydge2VorGv2HjtSk5p1Vz7Nfse2HGuRVWzcVXtUm60rBJW5blxraUFhmWVu2Vjx9W48cPF1MYg14O/luJi74kDWu3h+MFmdk5RwBp/76Z/X7V+EFVQAx2vp3p5H7Vu0O3YN+3UtiA9FMzqnJvv2d/2kuY56B/aOOEfFDgRhbNz/u/WqWaIq97PcUi8f08jsJ3cs6NVNWsXJaA9lB3EexFAAAEEOgkQzNZ/fxDM1n+Nq36HBLNVXyHmh8ARIHD5lR92r3vHR8KdDq/f7PvIDrkDPpiNw9miYFbnq2J2bKPvPesf6qVjwP/HfnxY5WZcLWuvWzgbh7J6TV9X1WzZEfoidmgCU/aR/LKHeGmcqrUq6GXb2QPAyqonq1o1WxbMdprvqghmlWLZZ/N7WcBFnqMWBu+eOKvju4pC0bTCcpHDNnrDlvQGjq+VPiCsl4eK6f1pX1prjbBagtnYIK2itdc6Vc12qmYO1cT+IrNRz9c4mFW17FDz79yicNaCWVXMxlWz6mtr+2Jm9kAIZ2f9Py2YTUPZOf+aBba6p7hqNr5/BbSffdeli91inI8AAggggECpAMFs/TcHwWz917jqd0gwW/UVYn4I1FggDmTtNtcedVzrjuNwduOJp7dJ9PswYI0PDVQ1q56zamVgh17ToZBWga3+dPSG4QWSCl/Xj/a70WaoG5+wv/mAsCL+5QhmVR27GsPY2EPBbFkoa+dVNpz1Eyz6yHtZle8Thu90Txi5s7rfjeFmmj8tWNP+w4nlmnQvwazGigPRQ2lhYPO24NQC07L7KXvwV7fWBo3Qsr1mVGNdvu77y0WX/ToKaLetWR960eqhYR2DWT+7su9jBbPqy60fNk3Nzn+Kwby2Jn+vXn/neNu9WjCrL96xezJ8GsGqZVMUBbT7xqfdXn9eumZpMFtUNRtfjweEZd9yDIgAAgjUVoBgtrZL27oxgtn6r3HV75BgtuorxPwQqKHAG975cfeGd33czU5NuINzs6077POVsiO+YjY+DszNhAe/xMGsglcLX3VuGsymZCduXRfOn06qYBU6rPMVtwoZBn0iF3+kuVPV7FKD2f/etz1MbbUHsub71/vOcDfMzj8IqmyrVjGcjR8Spf6+FgSVzXXFgtmDzafPh2CwqAFGl78A4kC2dar6dyzhWl2G+tL0cU6/uh0WzPbawqBZEFt62QUVrXoYVMHZRcGsTivqHxu/PQ1mNf/T+vY5VczW4bAq2jv6NxTeTqd1smDW3jilh3XpgWEeTX93rhtubyGTVs3GwaxVzcbVsrrutHrN+h+EzfjQdp/vL1v0iYM0mNX70qrZg771QTj895T+d+NRvnr20pc92z3mYQ+owzJyDwgggAACh0mAYPYwwWcclmA2IzZDFf/7uA88OnwgFzUEEEBgeQUslA0feZ6bc3PT8w+NGRwZc4Oj7UHfwfAf2bMhmE0D2XhmZeGsQtnRZu/YCf8f/gpV7Vjrg4WB5lPc9TWrArOQtqxqtlMwayFQPLeL+re7i3yFbN2Oz08e677gf/VyRMxLiR97GWJR51gwG7+paO3s9cUFs9pjPQajFszGE+klpC0MZNsusuzhrNoYqGrWDk2z6N8g7F8rulVTt66j7z2/QeL+rvGdxD8wsa8Xha1lway9p+z6FszGFbnqLVuXYNbuX5WzqqK9uu+ktu+VxQSzeqN+aKWWA0etG2q1MYgvGIezW8aG2sZSODvhg1hVxuoYjx4KdsD/4Gx6av4HdfEbZ/zXZ5IHhU3ce5fvNbvLn6Y+F/N/ryugnZudf4DYo30wS0C7qL8eORkBBBBAIBIgmK3/diCYrf8aV/0OqZit+goxPwRqImCBbCsk8aGs/mM6VMQ2q2atv2x6ywpmN596elu7giKWgaFGn1k7Nm8cdpt9/1k7FKgqnLVjg38wTdnRCGmLe8l2DmYb1ZenrNnrTu3bW8tA1syKgtlu1Y+xdxxdxgWePUaaS/7OCB+vLxhEgaKeUN/vq6fnfEgUfyT/jIF97sXrbiwZ0xqgJj/n7Clgnd+PhRcvukbXULZ5pWVuaRAHswraFZgW9WI22sX81NfCV91aWysEfytFIbpZxQFtGsyG15rNaTUXvV72YLB0367G/rKL+YZQSHt134mhzYGOsj7AacWsjaH1P84/dHHch6xFh7U0SIPZXb4i9qbte8OnHNJj2j8IrKw/9+S+SR/MToe+49Z7fG5myk3ee8+Cnw7o6/qBXnoonL30D35zMUyciwACCCCAgNv7/teiUHOB9c+5rOZ3yO1VXYBgtuorxPwQWOUCaSBrt3OgGczqzxbOxv1lW1/31U+D6za49VuOcUO+8jWuakyr9eKq2TSUtXGnfR9DtTSwNgYx7wZ//Y2jg+7ko0bDl6/btsftmZxZ0H+xUzD739dsd6f4QPZUH8zW/bhhdp37631ntm5zKYFcapSj7UEa9IWwrpkihrYW0QPkFBJaSNv2ALDW5ushfuwUkBZVzBZtnFCeqhd6GC9ekWVsafCafQ8M/UHjCtZZtRVIpqQq9NDxNhQyFrcdSG8xvmb8vrAf4nLrkm8qrZNCdRstnZNdp6hPbQhs9f+i+6h7MGuMFtDe3rexULYsmN3o/668/7FjbrzZi/suXwEbh7RWNWvB7KQPcKf0kC8fvm67Y1+j5238fVZQLase4uGXP3n83kk3tW932xxDMLt7h2208FpaLWtvGBxdH347MDzi/vXKV7mLHnxu3f965v4QQAABBJZJYPyjb1ymK3GZqgqse/r/rurUmNcRIkAwe4QsNLeJwOEQKAtlrY1BPCdVQVl/WQW1qpK1Y/1xp4ffjm2ar34N/xHeDFLiYE1Vs2WhrF1P4aweDKYAyUJY+2c8JwWzuydmwpdCQNB8sSiYfZTvH6tfR9rxx/ee3/Dxvyw/S1r59kySI5TVZOb7yy4MFcuCKAV6vzv8M3eG/4j70o6Svq+9BrNLG7SxMssQzt7sWxhcNX32glmkwawFt41q1fmjW0hb9uAufdf1Ov1ODwez63eqyI3f/7qx1fvgr6VuFbU4+G5/e5uDbsFsOpaCWgtpFc7K3UJZnWvBbPg7Q1vTV84qeLVq2TiMtWurv+ykv9bs9KRvfTPfoqAVzNr/GOiHKM1q2f7BIR/8DvuHPw75X/MPfpybbbRQeJQPZi954a8S0C51s/A+BBBA4AgSIJit/2ITzNZ/jat+hwSzVV8h5ofAKhQoC2TtVoqCWcU4gyPr2gJZnd8/NOLWbj4+vFUVs/pVdih00X/Yb92ytqvafU/e6E4/uvN53/i5r8aKjhAk+P8TB7NHaiBrLApm00BVbXwXU9epay0mlLXepUtpka5QNg7y041SFkTpvMcObHePGzzEXsFpa4IVD2aF29f1+6HwhKhlws0H1vtg9pwFp8XfC7o169mcBrNt30f+DyEE9f+MK5UtgG19yL35m7T69f9n703A5Tquet/q+Zw+s+bRlmRJieNBchzbIY9MDkOYPoeZSwaT4MC9EMbH410gXD4CX+57vIvDu9wLIYSXOJDYSS5DiAmB2IkzQhI7tiw7HiVLsmadI+kMffr0/Na/aq/u1dW1d/eZpO5WFXSOTu/atWuvqr2P92//67+iTkZ6SHM9O7mXrNOSWIwO1k+Jv5Yy8Cdhc0CAFj+jrof/7erxyOYPTc2rJ0+TbYEg6xLM8s4DdE/P0QuwME9iQFnAWZRSPlf/G9EEZmlbPJHSNgfprFHH2oX9yuX3gLO/ddeblhImv4+PgI+Aj4CPwBUSAQ9m+3+gPZjt/zHu9jP0YLbbR8j3z0eghyLwP//xq+o9//OTpG4yqsIKKZxcRdoYyO1QN9kFUBZwloutmpX14U84Qr6HKVLNAgCElT1bRtRe+gAiZZLNCcDkPjaY5W2vImUsYNGVqJC1Y/r+uV0Kakq7LEY1uxgoG5a0C8e3Qa2EbtgPv0PRCSBYItDjgnirDmY5UAxoLwWY7Vg1G+KVS33+Ynmzeqi8pXWc6ZoDiJdQliuJPHv6K4yz29vXbIzyFo4CvU33AGFLwce05wwrY8NsEmBD8o7B50PvH1fKBoDZR1Pb1ZmkG8CGgdkiJQaDXcw3j15U5ym5l7mmzOjaYHZsNKPylNRrISTpF/aRYBYrKQBnUWwwq1WyiaQGtK6iLXMclP+7XvtK9Zt3vlG98mVXXylD68/TR8BHwEfAR2AREfBgdhHB6tGqHsz26MD1Ubc9mO2jwfSn4iNwOSMAKIsPyuyFeVp22kgKw4C2XMxrWFuady8Hj8UT9FDdSOAl1bJ8bmGqWZ1xnQDRKD3oj1LCrzwpsMLg7A+8ohkwhQFaG8wCyF6lZtX2K8A/ttO59MDCRvVAYWNL9U5Vs51CWVYrt+sX4Kv0K3XVZ0gEMGsDWvjLhiVC2kHewbAzWLlip5xauZbdLUn0uThNM9SyUM3ahRWzuIZs6GrD1A6sYiMD0Amcte0MwiwS0JZrGzrwOlJFvz51erUHo2fah/8sAO3pRLMPrQ1mAWRRAGUBZAFmuWDscW0xmAWQHQ8SM546mwsFs2xjIIMlLQ1yk8Y+Rv7tiJFCXNoXYLtLLZsZGVcDoxPG75bAMcDsfb/3tp4ZF99RHwEfAR8BH4FLEwEPZi9NnC/nUTyYvZzR98fW/y1L6oHFPZ35uPkI+Aj4CIgISCArA5Ofo8QslBAmrJQLeVWYmVL4KUs8maQHZbP02lbLcj2pmtWekUKax2AWdV1wltWyrn5JQAtvWXjMogDIIqmXL60RCAOzqBmmmmU8CIDayZ+gxUJZQCBbrdk0xwBiBCWUgDYKzKKN3x98ZBHTwPx5bfora/3JrQUdjSXioUu5ow5YIxiGhEcxUn6HLQXXMabj4BhLLb+/cLNzV1Ydu2C4BKnLhbJ8cGl/EHYu3CfbwqDeRpCULCyp2Nszz6kdS/YSXmqEu38/G9Ai+ReSgEkgy2fBaln7rMrliprPl+tQFtsXC2axDycCA5jFvI8nW1WyCfKYjcXNnJdgloEs943BLP/+qz/2GvWrP/7a7h8Q30MfAR8BHwEfgUsSAQ9mL0mYL+tBPJi9rOH3B6cIeDDrp4GPgI/AkiMQBmW5wXZwFvVsQMvKJ5dalttl1SyrZOUJSDCL7204a6tlXScPQLtQqqqJM894INtmdhwuD6kP5K5x1pJwVMNVUQu/JwiaSIWjC9J2AmVtlSxDwCg4y6pZ2XEN9Nr444aBWQ1Itcmx8SHutGgwK2Et7dsJpGUgW4dLFMsw8FolGIY+rQaYBZB1WUJwv9jmoPOIdBo5Y0nherWMOYWNYeAVR4jSKnsw234MoKAtbXuZGkzFtUJWFqmWHaDtmZRZBTGeTalnT83qlyZDwiv8hRenQw8obQxkJVbNAszKl3l2Q2xtABuD9PCYVsjaBe8B7bkC9SzgrLc3aD8XfA0fAR8BH4F+j4AHs/0+wvTfJT/+f/b/Sfoz7OoIeDDb1cPjO+cj0J0R+PAD31Af+Jevq5mZAiViMctXw0oncBb7AtCWC/Okoj2vl6UOr9/W5C0r20eCr8HhtBPK2GAW+zGcDVPLIrN8OYAL+t/0OXlhQf167BvdOQBd1qv/PH1jK+wIAKVUMzeNYQBmdSIusYFBG75fCpRFUwyBo9SVgLc2jAGsA5Rn2MjASYJHWBnA0oCLDUir5F2L+RkPYFQnQ4U2nMUBaesA2CKSUAa6wKvsXzwVnjgvqp924q9U4BeaIgUuIKgEc41uGWsRAOFOVNGdxMmuI8ePj8ug3xzb3apeVk99x3Xugsq/n310Kd254vb52PB3qj0bGv7SHO7nJnPaygAgVpZTF/Lq1EXjO74+sDGAtywUs2Flnv7GsKrcrgM4O3vqiFMti7qJ9KDeZWB4WGVGx+lvlXuBGGwM7LkyQH0fHhtUP/d9r1Q/9723XXFj60/YR8BHwEfAR6ARAQ9m+382eDDb/2Pc7WfowWy3j5Dvn49AF0XgscMn1D0PflPhJ4DGPPnILtAD+ErBWT7VSmFBZehhGiUWQCAJYZDcK0Hgq0KqVhv8rd8wpDKZVgCVJX/D67aPtgBYV3jzdF4ACK9OnKTPqS4age7sygdyu9ThsgA0lmrUBWcBP1lZasPZTs8yzE9WqnPDfEldYFZ7jtLBGTzW52MgvQWAfHX8hHodfVBgIWAXfS0E/AdwFpC2XWlRzbp2YHIU5j6kl3M3/Jm5iWqpkQRvOWD2Y5WX6CYBNGXhFxmuLmfomoM2VStYqdR/Bn7Q7eIi9wkLSZQ6mV+22PsymMX3NpzdEZ9Tbx94rpOuXdF1vljapE5M7G4CswjI5FxRPX12Tm0gD1lZJJTV84jmxvhQWnvL2mAW93eUZDKmctMFVaaXHVwkpMV9JXd+Ut9HGMImMwbGypIZTKokKXdLdF8v09+MlvkgwGySrllAWfzEB9fvzddsVe8kOHvz7m1X9Jj7k/cR8BHwEbhSI+DBbP+PvAez/T/G3X6GHsx2+wj5/vkIdEkEoJIFlJVldsFAn+XBWQOuDHcy/05mKAlYCNCKExjCgzMXPGgjQQwXF5gtlkwiss0TA2psMFVfWhsWWqhlF4J93px6ViFLuy/hEZA+sy6VqwavllgtaQE+hnadxFlneYc/LVV2cUrbNiEMzko7A5OEzMw/TL2wBGKvqr2ovqP6Ymg3AY4kPOpUPRuqmhVH0mpcDZEcsNcBZmFhIAMUpqqNijn69XF1rXox1pz4ifeBv6jLMmKIXo6glwVxbdrHMapoN7jmbZgXFQLirvkRpagGQC5R31xwFuBdJniTcDYazErbCenN0R6+dzKve6XOkeqwuqewR3f3+69rTvz35UNTekwlmMXfiefIwsAuWZojRQKzF0kVyzA2Tfd+LgX90o8U2VTH9XIHc6RSprkRZmZNDSXTcd22nCs2oE0QAEbB35WBbLp+/JT1gg9w1qtne2WW+n76CPgI+AisXAQ8mF25WHZrSx7MduvIXDn98mD2yhlrf6Y+AkuKwMEjJ9WHCMo+esioBGVhMIvvOoGzc6RCLdFDtoSwdpsAWSnxcG5vz9DDc8KGeliSHKhnJZgFkC0GYChNCq01ZH+AMkpwdsxaZsvHuUAJyy7kSvXDetVs+2nDYFb7mIYwKgln2V9WttyJapaBqYRqaMMGg+gC9wM/AekAcjEX5LJ7Vs1KKMt9slWz+B4vC7ZVp9WPlw+GrpO3wSy3Z3xjoQB3J+DqRDULMIuCa8SlxJWKWB1PgFlROgWzDIlZEfyJ+HUdg1moZAcCGweA0VIENANsc72AYQhnbytrH9+G8lbHImTOsbLXBWeNkre5APyir69LnVKvT50OmfSWH7Crlp54/Q1qAWUBZ1EkmH3q9Kx6+syc/v66raP6ZxiUxbYBAqZzdL9NOMYD2/OzJnkk5gPgrF3YIiMMzsKiAGpZM0+avZ8Bc0v09wE/UYdVsnwMXF9QzNrl1j3b1F3fc5u6iVS0vvgI+Aj4CPgIXBkR8GC2/8fZg9n+H+NuP0MPZrt9hHz/fAQuYwQ+9tDD6t4vPlJf7msr12BlID0ao+BsgTJxF0k5NUxLXFGvkG/AT3mKUWpZKJ9sFZPcF+rZNWsGNbRiIMvbJZjFdxla2mqrZ9nCwA65h7PRk/BwZVh9cN6dAEzuyXBW2hi0bA85FKtkw3oiVbEMZgFjkkFWdglaJaCFapYtDGTbtmpWQsJfK36lUdUi0focHTASkJNBEmeKhx0HCmDtYsCs3scBZyWYtdWy5kBuuwM+Gdsvl7//48SrQifAglDESiiLHZBAL0wJzXNBglU9hkICHaaalyraMNWstFyQcFbaGNgnhXbfnHxG7UyEeZ52AGa50T4FtFIti1Pds35I2xnAwgBqWS4MZpHsay5YWYFtgLHy5wzth/GxxxqWIIX5BowtE0RtsjSwpPK499cslwIAV8BZLq75VKHjjIy32h9gZYYNjOWLoXd8960KH198BHwEfAR8BPo/AvOf+n/7/ySv8DPM3vErV3gE/Olf7gh4MHu5R8Af30egCyMAlSyALH6iAL6yKhGqNYaxWKZsA1AXnGUoi7YGoXglhRQetAFnpedflFrWtjCQYcMDNysIs7QUFYDFXvpqg1neX6pnpYWBPSy/nX6kC0eqC7qkAUlN/U7u5R0lecK4hIFZnI0N8toBWRkBtjbQClgSRTKURR2XAhbzGAzVpW+UYNYGOk1gFo1bcJaVrU19A7B1eNLq3QN4rOdxiKJWx8a2BaCO47rgEiOPWZ1sC8rSkGO5fGaj6r8YG1WfiF8fOtEYzMK6AKpkWfDiJqzw9clg1ba7iLIp4Db5OneldEJfpE0Cw1nbxsDMGdMC/vetiafU1QRmYzGXsnkRYLY+KG6FdBdcuUvqglTLogEGs4CygLNc1o9k1EVSw8ISBrYleAFi25eg7lSQDMxcBw3FPdsYyE5KOGsnlMOLjXKpMRPYwkDuH6bOxt+jQfK7lVWGGEYAACAASURBVIX9Zfm7pvtBcL3ftGurhrNePbukqeR38hHwEfAR6JkI5D/9P3qmr76jS4vA4A+9a2k7+r18BFYoAh7MrlAgfTM+Av0SAVbJyvORYBbfs2ItL6wCZH2Gs/B+nQ+Wo/J2eAimhXefBLRRatksPeijSAgbJ6AlH7bj5BWYIRUiFJAlOjYgsiybxgecwwT1LKCBtDCwH/xfHT+lXkvLnH0JIhAAWY7HuwnMokjQ5YoVAEcj6VdrDWlpsBgoK1vCWNqw1QVmwVcwXwDtAe5QSuRZyfNmkNR9Lo/UV1aOqe+gT1MRcNYFZvV1U4kAlcWyhqyAtDppmAPQhrXLvrNsVSATftkRlvBWj1cIwOX9osAs7gMYS7YusO8ZYf6yUhnLYbO9gqNsMXhsNbwN7gm2bYINZvXY0hjLeeECuu9OfsOchrZIIKjaBN2XAGaDtvrB3uALlPDrS+XNTVNqDQHN3euGmtSyrJxeICsN23ZE7ox7NBSzsugxpZuEC8yi3gK9zLPvzbw/WxpIC4OWtsV4ypcBNpxlMKttVyy7DPucvHrWdaf33/kI+Aj4CPRPBDyY7Z+xDDsTD2b7f4y7/Qw9mO32EfL98xG4hBH4nXs+rR4PVLI2ZHEl+NHJV8QGTpiFfc+dzbVAWXwPf9jBoUbyLj4OAG1ceA3q7PZBSaWT2sIgbGkzqgHKAuYAsvGDM1R5gDGszrPBLJL+oOjM8sHyc5kQSsYAEOE9Q49dwtFYwUMx9QozgF3MoSwgy7v+1cIe9UJlpN6Sjqw4LgMxgFnEWII4+W+tmIUvbKAiRTOdJAZj31BAwjLBRoynnLMG1DVOVKvz6FfMF3xcZWQAKtC4mporKKn+dIJZNBAcQM9dB/WrAoK6spVhDuYWKLM8JcwKztsFaMPArD40nU+cFLMaWjmOUU9IhpNGiEOS69lx+Fpsu/q3+PaW8CBxE19XLsAZZWMg1ex4KYLrlZX3fD9hMCtBqqvLPI7oIPaFTyzmiwvM4jiIDxKWucrVsRlSzD7dvInGo6GeXSKY5RZ73N7gt2f3KbyskJc24rluOENq2UJLUkVYGOiXK8JOwL6n2mAW2wFWAWZdBS/7cC+WyfLkfAKcheWNtDCQ4ZcvhWzAK+Gs/nsDKGtNOmOT0vzaB1VeQd6zd77hFrVvp/eedQ6c/9JHwEfAR6CHI+DBbA8PXodd92C2w0D5aqsWAQ9mVy20vmEfgd6JwH1kW4APAIsLgoHzMMTk51Q8sBbI1w9gZYA+djl+bl7NUhKt+dmCQhZsWeAzKwserPGQ7Eq2ooFTSCKW+gM36gQP/xLM8nYGtMgULmFsUx+Q/Ice6l0gQScGom23p0/rT28Vhklaqrq8rodAWTT6+eJm9flSQ02XIlAODinBPerhewZkIYzSjLe1FL0+ltKDFOdDv0vFJuYRjzGqVmAhQD8ZzNpL5NuB2dEB8xIBYJYBbSiYDTqp2ajjTYb0mW2ae6SWhcpVgtnG3G4oaMMsEmRbDQVqsDzf7gd+Dy5ihrMagtaBcPMckYm/AGNRYFugx5KuuYvzRR1f/REdCbMxYLUs7hmAfBgrex5oi4ngntBuwjp9Q4P9bYAGeI9TB7QvCEsWPoYTzGKjjg+A5DLBrD7QClyH7YKyCtv/kjykXyAvaUBW6d+rrzGKt/09uqC9nOmjAWfg5Sy7pv1lhT0Hz0eMKQCsfDlXvx5oLOA1K/1mZZtJur8UFyqhqlqeL7bVDbcBOIvVGWmamzaUDUavDmZddidvu/0WDWh98RHwEfAR8BHonwh4MNs/Yxl2Jh7M9v8Yd/sZejDb7SPk++cjsMoRYCjLhwHIsgseQKFEkw+qeKBm5jOWNaCGyzwppY6dydVBK8Ds9NR8fbu0M2Aoi414aG7yzBQemva2+oO6gLL4zgVm8b0Gv4HXoSukDF+xzYaz8lx7C87aIGmJUCgCyHIsJZiV8QO8lwUgn4sLjsgl7BIA2WMG0Gp7mqIO1LIu0IdtgEc2rOsUzDadw4XT6nWTwZJ3x2SKJQjiOSB4GJiFWlbPf1K84uMq9cRhKbrWQoh2lQCvboeUtyGN4M0LJrh7e/CtBLafGXm5OpOcIKDevA9DqbkF8okObgQMaPF7mI0B3p9gfrDyEvcVuxh7AvMtrj1Ucc6VQPXM+9e9YlHfAsV4GQAYLJevz5NKX7440P6ysdnQ2DC8jgxeRxuXeB121PbKV7KT+0kIy2CWj2oDWpn4ywa0EszyCzjZ+1KhkfxLf6/DZl4cLFAySbsA/g6Qh/lc4FvLLwFkPfwdsf2MefvaCZMELEVKeZ7v+Hso3T6wL+avDW3lC4J9O7eou+9608oPhG/RR8BHwEfAR+CyRMCD2csS9kt6UA9mL2m4/cEcEfBg1k8LH4ErNAI2kOUw2GAW8AuQpEiKUS4SYuI7WzULKAs4a8NUqGfnSSXFYFZCWbRj14cKVoI0W1GrH+atZbI2mJWepYAzYeotHF9CxDC42FNg1k5Tvli1Xsv+4RcL1HR/tbC3BWpDncjwC7GXgM8FSJo8g2m8XKq1MCgr1bI2jAHkxdwoILu7UJEuFsziHPB53cG/Cw0GlH4ArMnBZmW4Pl/L0xUwlT1hw8As2ivnC3rfzETDLsLuQGWB1KtUNznk9lLWhAmXMeCWtUTbeTJU/++u+gHFCb64DnZnKA77EmlhgjoJumFoH2qHaljCdKnEl8eXYLZ+X2KbgqBNVj6zZYaLVUvmC7Us5pIN63QCw8DawAlmAxBoftD+wfgZeL0cBXrvwFlWy/JY4D7KL1iMsrl19jCgZdWsrMH3ViT+cgHZ+phbqllpv4GkkVI1y1AW+zKYlce0x50hbHYwqbKDDWudAr1EPHshr78bIshrF7woaLE3sDxoeZ+777rDWxuE/8nwW3wEfAR8BHomAh7M9sxQLbmjHswuOXR+xxWKgAezKxRI34yPQC9FIAzK4hwYzII74OGa/VrhGcnFVkHie4azrJblui57Aqhn4QPoSuLC9V0P7BLcuqAsjslgVgJZ7otM2uKyLLDPiyEubAxk6Qk4GwpV2wOhGvatA6jOs8r/Xv7mFj9JCWbZxqAZmDTAjivhE8aMQUgYkOX2bLUs5gsS9/C8YC9ZregkoIiCOlEes2xloOsKnrn/8JfUeG6y5bKHqhJwtFwoajBrw1k7ARirZXX7IYrZEqAstQkoiDqpkazzdsNgNk6qWqdqlr1VXeTTbpGONZlZq766+Ts0uJTKVunXa4NZA8CxDLyxlD3s3hgGZhHnMNcN9pFFH9iXNqx9Vs2yWpbr2epbtAlrg9+Kf91UqYO2VvDqSpa2ZEjbA56ztlq2fl+nvw3wX3bBd3m/xVjWx8kK5wJB0Lp1jsuomBqC9zhsQfQLOnt/oZodoFUb8C9HydPLP1ghuMrY2IAaIeA6SKpYuzCUxfcuMMsrJ6SFAd9DwuagtzYIi4z/3kfAR8BHoHci4MFs74zVUnvqwexSI+f3W6kIeDC7UpH07fgI9EAEnqDEXoCyTxw9FdpbgFkNwCwlKoNZuazfbgSWBpOkgpqcLtQ32SpYAFPjaUnLlOnBvFSgh3ORjIezYYcl+tKwjRI8uZK74KAAQ3hwdj3n29m0bTjrAs5hgfrD4S5OBBZpPRBOvSSQ5fPudPk2gNUflm91hovhrLQxkBXry/RDaJxW6JHi0WVdwO1ItSzPHYayqCOXz8tjY55rBbhjST2SfzGYlVAW++8485TacfappvM18IhUlQGYxUYbzsoEYFIti7ouMMtQFtsZCrrgLI4JMMulRTWLOSEVrGH0U9SbHDBgFoXhrFTL4vsyHXcuWHLOUBbfsygX4A5gzgXwXP6yOg4hU5SvX15KzsrnPN1DUJDoTxYGs9kgYRVvc9kibKtNqx8uHtQ+v1ElLLlafR8NdRehpO1yOGurZWVs4O0cBWZRl7fbKlNcc5gXcko2rCiCuzf8awPVrCtZHatmJZTFMcPA7Nq1WTVLqzaK9HcHYBaqWQlooZQFnOUi4ayt/JfnE5WUEm3B2sAnBou8rPxGHwEfAR+Bro6AB7NdPTwr0jkPZlckjL6RZUTAg9llBM/v6iPQSxGIUsnK89DgxZFFG2BWPpy6zh3g7ez5vLYx4AJIgYQqKPzgjd/x76qAYRWo8giwAGkkA5Aik8Fwe/CJ5fbwnWQg+DeWUbvUsqhrg1nzXSMxTRR0ts/39ZQE7A3dmAisAz9YOwGRC8jWx4/NPkMmO9RstQqNGwXyr6vXqqO10ZaamDcYE9unlMfPJO8yMAYqPFmQYEpaZ2io7+gLq2WlStauNixUcrwUHsCXk9cB7CFpFUNagNkxSv7lsmS1wSxDWT3PBZjV5ySUs+wza4NUHQu8dEg3lk9LKKvbFTYIiYF0kxrXbq9FNcs2BvWBddgZWPD26fG96pmJvfUw4h7gmg5IACahLO8g4+Za0h4GZuV+fM3aFhcG3jbPBAazEtRiP9urWFpo8DzYWr2o7pinly24X5HiOBbiwxsFZnXCN7x4IsXwisHZJp+AAFheIpj7QGEjJfXbFHLlGwErAGXUufKY2GNg7rV0X6A2HI4X9WPqvxNUwZUIDJWwLWn5Hxfp7w8+XJDIawQJvShp3dRkToNZLmvGBzSgnSaV7Uyu8WID2xnM2tY92MaqWZfKPyxgXj0bOpX8Bh8BHwEfga6OgAezXT08K9I5D2ZXJIy+kWVEwIPZZQTP7+oj0CsRuJdUsh+nTyeFHzS1g6JQrmlgZS3pR3b24YxJVjREEGuYfj86ZfxlUfBznmArgI5kKAxey+IBmfsGkOJSR2G7Vj3SMaDScym1JCTAA79tleACs3xc4z9JACBkSa2MHYPf944c6CSkl6BOQ2Hm1go7ukCS5Sggy3tEKWYBZAEEUQCjvlTdqj+uYlYiG5BmQ7V1I2lVxJLlkEjZyjp9PD0/TYtsvyEVsq6mkHDKzJEG1JNgVu4DoJShcxoUycrk9vHcObX/8JfNVw6VZGneJPTiwnCWwSzbDsg6EsxWiiVVCZJ5cR17Gb2Es7b6VseZLQ1stSw3KOFjABVlf6CWhWoWJUvwfJSu8Qv5kv49H1hBAK7OUgKwASQlswqrZvlrqZ4NszFAXXRL+0E7fHC1C0NwM5Hj6BpvfIdj8od/Z79Ruf+tpaPq1vJRVWGLCzqfMPWsy84AQFaD2aDgugmDu86+ojP13dvdhCK8HsICscjvD5eH1Ady15hrzPEmBECU4yftRuRhEHe2KrDrsJUI6tuJ2uyuGjgb+CN3cB4SzALKrl03VN/r1MmZlhYAZyfI4iBPym+G+vi3nvfkNYs2XH8X8NJoMWAW7d24Y4t63zt9YrAOhtFX8RHwEfAR6JoIeDDbNUOxah3xYHbVQusb7jACHsx2GChfzUegFyMA64J3f+T++sNxmNpQnpsNQxjQAmbwkmCGsHZM4Dd5ZqYZSOUIzE7NFOpLRLWCNoBdUEFJ1ax+0A9gjEuFBSjLS0jlgz36wWrZlod6+oIBbRSYxX6MQ9otRGbYAMXsGzJnVm9qdKR+XfzhDUyls+1gybULzEogq4+uYXo8FMxCeYpxw1ywC6AsLAryBOnDlM4uMMvtjBE4ARyUNgdQ6HKBkpYLvE9tNbgLzKahyqY+XbMmq4YIyuSQEChn7Dnwby46AVjI0nUbzGIfwFnAVCT7krYDMiZJ2u6Csnp+WonD8B3DWRfo1cdEIjAHdNXHZHIasv1TO39QV1s/lNYflKPT+aYhxBQFpM3Tyxf3y5KWIddL2GEbgnHTdiICwMIn1LwgccNJXMPy+my3jLz16Oa0uQ+8/YcLB9TW6rRWZjJgBVh1qWdbxsGCstzmouGsq7PO71YfzH4gt0sdLg83vcTgrrAVhA3GJXx1JeLj7UaB6radsE9XvlwLU83a+zCYtaEs6tlgFlYG2zaPkEe6ecEoC+AsXtCk6L6BnzJpIO4xLp/ysCGUKu39u7ZqawP89MVHwEfAR8BHoPsjkP/Mn3d/J30PlxWBwe//T8va3+/sI7DcCHgwu9wI+v19BLo0AtK6gJeMoqtSaejqulOlRjsBUAGCuR5guR0bzAJ+XJw3yqNp8vZDgQ1BU3ZtBl1YWS0AjQ1mkaApLR6ebdUsLA6iCnvbtqujk9bjEwItbWC0+nDWncRmqdOOk0hpoOhQJNrt2mC2BcoiVgQuUI7WRtRfV65takL7tNK8yRHksMGs2ZbUQA9gFsUF5GTiOdk45iNeFsxS2wx9ouC7q20bzALKcjKwHeODet7LIiHtLY98UgNpV3GBWdQDnNWqWcsPldvAmNhKWd7mVGrimiKYGyb11qpZLPV2cU6e4yEQ9GvX/0gdyHIfzhCgXhBQjVWROqEafV+0VPW2albGKiQEugqAug16pVq2Hi+HpUG7awPzDoD+xakGZGYwi31ZNcvtIIZSPdtkZxACZet9gPI3uD7a9WtR22HSvUqF1bL18xf3CenP61Is6xdk9D9QsbumFSwN2MbA7r6tnLVXPGjblJC52jSv4GlM9xOplMX2It0npijxJBeGsvjd9XcNf89ga8JWJ3Z/AWeNHYe5uFyXWMM3t3WwAGd/5rvcvtyrNLS+WR8BHwEfAR+BJUSg8PmPLGEvv0svRSBz+9t6qbu+r30YAQ9m+3BQ/Sn5CNh+shLMcnTCAK1LMQv2xPUBssIArQSzEsrimLl5WpoNhZy1NJxVswBSNgtlOMoWBvbIsmq2nc+hfmgO/AyjVMO2YtOu67JH2JmYU+/MHlq9SbeCqtk6lEVvtTq5PdzhOi4gq086UMtyAGQCsHXk64j5osffArMMZbFNgll7DEySoFbksYHahjftDC2jl0o2o8BsPS/X2OHYDGYlkOVzuW7DcOi4Asp89pP3q2cPn3TWCYOounKUUjkCPEUxqSjI3gmAt09iNy25fs0db2x5QXGR4j0dLPPG2PASb/YSxVgWaLwYqrrAbN2CQi91D790TFK2xosJWy3Ley5GNQvIBksLFKh2z5KaH+Vd+S/VOyJVs7J3UDMbe4KGbUEYYLfPatG+s+FhMVtWEcyyWpa7wADWTpoWZSWhVc0C/PMw4/q01bLyVCWcdUHYTuAsXtIN0BjbL9ckmJVQVt8H5Es/6gTuV1zs5HH43ryQMB63svB9xnzthtOyPlSz3tqg3WT3230EfAR8BC5vBDyYvbzxvxRH92D2UkTZHyMqAh7M+vnhI9BHEYB1we+QdYG9FN8FZnHaLk/OJtUq1WHGZatIoYIEoJVFgtkLuVJTpvuFYFlo3KFshUItDB7h4VpaGMjjQTWLc0PCr6jSDrjyvq6l9PK8w5ZX94JqtgnKBifciQcmwGwolKV2WC3LMfzrykvV6cS4ApSVxYB6408KGAoLAy4SzOI7OQ42mMWc43kHaAe1rF0A8FoSPgXt2nXHSLELb2RXscEsWyQwdLz/gYfV/Q8+3Ed3kMapXLNjs/rFdxgrA3kNMJiVUBZ1pJ8ofpfqWeMpbNq2X3Yw4AoLIo7DbYd5CHfiNYv2oZLFCwFZpmlOjuQm1Q8XHm/63lbN8ka2N0BQNHxvZwcrWl1Za4PVsTOw1bJmzHROs5bSLu4u9TqDy0Z7rfBSA8+oFxQhylkAWZkIDBYZEs7O0qqNuWDlBuwLAGe5MJjF3zDMXVlsMCv9kaVFAe+Dc8Sc7UTdi328tUHY1e+/9xHwEfAR6I4IeDDbHeOwmr3wYHY1o+vb7iQCHsx2EiVfx0egByLAKlksIbWVZSbzdfOTtU6u43jgbs5+3izusx+0bfUsg1kbynL45ihxEB6UTS7uoNA/M6Rig5KqAb4aD8aArtLCwB4KDZ0j4EiYb6nLriCsLo6p+x1xoFVNBLZM1awLyuo4trEz0GrAqOBaalk0+W9qq3p6ZLfzimF14tYJ8j0VxQaz2MTzVfrLSiiLOrZaVrZpWxvY85+VkxmCdY1kUo1XGkOkoNtB2dpRMC9dieH6Gcz+wtt/UO3eublpnBiqHrmYrydckxWkuhXfs3oWsddwNriO7MnRDs4GU7XlhRO3g/sQWyk4J17wJVsY2HVG5ibV7RebkyOGqWbldeN6yRR1fH0ei00KFtrg6oDZ35q5URzRrGJgGxhzK2i+30aplV3jHQVc+cAMPqPut+w3yxY2Esi67gP4bmoyp4pkcWBDWWwDmHVBWWyzwayxLzBHwU+7n/wi1AVto+aHtzZod/X47T4CPgI+ApcnAh7MXp64X8qjejB7KaPtj+WKgAezfl74CPRBBKR1AcCs7cVog1mGVq4HR37Qdi1BDvPvZECL4xw+l6t7ibKyECAWD7BbybPzzPRC0zJR81Acd3r8wesT+9kKJnvIXEmHzENzEwJ2jrQ8pyiIqyFmxFy5nRKB4dNRaQKtAbHSO0YcobY0r9lqmbxbw+BqBJitknIMYDbOS3wdbUi1bIUSWmGfx4evUY8PXeMMA8AslLJsb8CVAF/xkYXHgsEsWxfIOufni23DzdYGgCXsFclL2bHzYGC1IBsCgASY3TY64ExoxXVhY3D3X/5j2z70YgUXmMV5rM0m1XPn83WfWXlt2qpZPm9cOfPFcqhvM+q54Cxbm2IMcS/A7/D8tAuUkayERX9mF8ot9wxbLctXGq7/a849pXaff1YlMiklYatTNYtrhj5VrZaley0dO56gZfMd+DXX+71SvrMrbGfwYGGjerC4yboOGcy2+m5jGX87G4mm+2twT+7kemgL64P7Ucpx/drt8987gNkNa7NNSlltqUKfaZozk3Pu+4kEs65+STsDe3WKbXXQ7tw9nG0XIb/dR8BHwEfg0kfAg9lLH/NLfUQPZi91xP3x7Ah4MOvnhI9AD0cA1gWAsk8cPVU/C4BZFAlnJZgFcGUPzjAwG5awJ0zxxgdPEZw4Qgl1wlRRezeN6KqHz8w1wVkXmNXJvoKH7pl863J1OWwu1WyYp6hruFkJaO/D58vfRyWWQrt/OPxY+9nUqfq17kMaIKRO9wt6oMcWULZNcdkZALBqoEtFJj3SXzCgBaCipcMMZPkwZ9IT6nMTtziPigRfSPZlFxeYNYeq0RwwSefsYtsYAM7JIq0MAOWGMokWP1PskrGsNdBOilSN163PqpF0XE3lKyrv8LjlY/3H33p/uxD35Pa73/POpn6vCcZtiGJyfKaoSpa3JoCoti8IPGFl/HH9FCsVNU3XsQus8oH4BYtW/FvvKADHAGiRCM6+v4yQFQXG2C4S0gLApYI69nX8iiNfVmvmJ/XumNOAs4C0TarZAMjyMap0PrIsGtAG1w8vtdeqyyCm9eRi7QDuCoLZw5Vh9cH51hcqDBZdtgXY1s7OoBMrmLALRCpTm2Kt/4YBjrc/Pu+Hfm6i+8jacaPWH6F/A8hySVKFC2Rr8ejx6Zbu4EUS5p60MJCV+O+oa2XKYlWzaNdbG/TkLdN32kfAR6CPI+DBbB8PbnBqHsz2/xh3+xl6MNvtI+T75yMQEgEA2XvpY+MIBrMaMtCHIQR/L333XA+NeAANs2y1wexmUhSibB4zP7OkfD1GWa+/+sIFZ6+3rcnWl4VCOXuWPlxGsw34JqEstiNJz2JUs4uBsnx8HcfArsA+TwZBUYnDsHtb1ewSVa9ouwXctLkyZPIpOwmO3FUr/QQFk1AW9VrArOmMhiIMb+2u/M3G72np3YbhtPY0nnSoXCWYhaoVSb1QNHyhwXQBcWljMEj18XEVnB7mE+a19itF3wPRpbQxGCQAjMLH3jaaUduHG20CzrogbT+CWekvi5gAykIpi3KGvKOR3AsA1oazCwGctcdBJ/EihSnA1jzB+Txdz3YBNMU4Adza6mnUZTCLf9twNgzMoi5gLxK7gcnO0rFdRYJZuV3PfahhbUpMlWwwK/cD2NWWBW1UtGwR4OwUfdnW9kD3K0rHH9Zy6/d/SVD2BYKzstjL9KU6Vv7t6EQ1u5R7cphq1vwNa068pe/NjlBg7FHG6O/LznVZNSH+zshzBZjl8gL9DcOHC4PZMFDMcZJ/e5vj2D4JmGuk/uTn3qT27dza+SD6mj4CPgI+Aj4CqxIBD2ZXJaxd1agHs101HFdkZzyYvSKH3Z90r0eArQtcwNBeSslwlr1nAai4uMBsKhn9oL91zPhuMoyVsQSYvYqA1rELeXXvow0VL9eRYBbf5Wj5KFsbMJi1oSzqdQJmpWq2Ex9D1xzQAAbLk60n/HqcaacoyIk2nXB2kWpX+6GeVarISB7p+Sp21NnLmUAGQwpQ1NJ/YWdQKZQa+wRtucBsab6g4gQywzwgbTALKLtxOKMmc0UnmM0SVIWi1S4M8TAcgLoMaFktGwVkuS2osVGkohaABdcDbAwAZBnG1vchmLN+iBR16ZgaI4WoXSSkhZUBLA36qTCYlUCWzy8MzCKm+GBsLDGtjrX0n+VxZQUrL0dnb2zjTVttspGQYBZ9QRs8rnZCL3wvod4wqW330BL2k5T46VSQ/EmO1/d8++9bhw8vaVj9O2zuebJEgVnUg1o9OZDWCtywAkWuBoohABdWIVH3G9xWAG+XW9qpZbl9VsfawLYT1ayOyRI6asNZhrK6PawKEI1yPxjG8ooL1IV9yTbyjB6in657jQSzqA/1LODsRfJFxzw1HuPhJ2D7K7fMF/ui6CAWAN5vu/0WBXsDX3wEfAR8BHwELl8EPJi9fLG/VEf2YPZSRdofJywCHsz6ueEj0GMRkH6yEsLWl907fFWNGrRhYcCn3Kx6IvjVRuGFRCvjtAR0PUE2PODahcEsvnfB2bUE6NbSvnYBnJ0mJSWWl8qHaVmvnZ0B6kLF6VItMWrGc7UEHTaCRjxttayt9GpnZ4B+NFkaLBHK1pczW8FaDJytWr6t9aYgkmVIq/9NlgQOKIv6LjCbn5xRyWxGw1kUG9B+buIV6kx6jd7GUJaP/fS5uaYzGh9IqQka9znyqLXLDIF7ufSdAS2rp8NUFNNdhgAAIABJREFUstwOXjLweLVYHdD5j9GxXaxlPanq2AdXqmbt/sUmj6u/+vTD6qNff7HH7iLR3f3R73mFescdr1SEDZsqQhF7NtcYJ6maxb/BnjT0FhCK71E2uNIQ14JVdtJCtMMA1gazDG+lv6xxA2goornzDGbxuw1nJ3KT6pajX26cJ0ApfqOfUISXcnmV3WjmMhd934THbEipLBS1HQKuK1giuOCsbiPwy40F4M9uLp5qtf2o9wHQWL5oqb9MWryCthO1bBCSwF+39appB2eXc4HwPQB/ntq9WMRLFtffEEBZ9pZ2wVkbzHJ/AWi/fXq25WVD83zA356qnvsmTmYM5Pu9pVgasBJ5384t6u673rScEPp9fQR8BHwEfASWEQEPZpcRvB7Z1YPZHhmoPu6mB7N9PLj+1PorAi4/WZyhDSLDwCEDR9fDIkRX7aAs2kXmai7rCbJucEDWl65tqMtsOBsGZosEQLA8eb5gEgSxCEyeSyeq2bAkYOizBKyuGMnEX9KywFbfdgJm66rZJUDZMCDbBAI6VM42qWZDLwcCWeQpG6bsA3yVir7CdE7XB3DCpxlQGDDBCcBsKIttUjU7QIrVzSPGBgNgr2jBLhvMot4gKWABLMoEtaIUbBLKYj8JZuGFDA/UEXq5ADZmYybYGHCxVbOAsSixqeOqnMupv3rgWXXf4WgP5F67E/3JL3y3uvGlV6lyckCVagQoA0AbBmZxjRQDyKhtC0SCLr4/STCLawjzvBiobDk+UEW7CkC8nTAO9dCmTgwWqFLDRIkSzGK/WbrPQDkLa4MmMKuXwzf6UCbAWikUVWpoUKWEajYKzALKQmkLtWz9vBxwtgnMArDaL8VwHwxefNgxQfsAw5GK2g5tDuyEXxqw0v+ZFQjmymhWpZqxs8tqglm+r9t/o2zlLnyGcV3zCxw5lns2Nts02HA2DMyeuLigTtKLQ37x4Jqf7MOLuDCclfUa/VicpYG0iACchXLWWxv02t3U99dHwEegHyLgwWw/jGL0OXgw2/9j3O1n6MFst4+Q75+PAEUgzE8WwQnzlG0XOPOwaJKnLBbKctt4uLXVsxLMoh7gLDxnj9EDrgvMAsoCsADMAr7ahXkFtiwUsfTXfWb8UGwrXrl2FGB1+R9qeKShRDOECPOZ5X5x996T/Va7IWja3gmQlTt0qpwNU83K41UWSipO0N0FZyWYrZKqtTBtvBddYBbfo12A2dMbr9X2BXaZJ6h77GJeSSjLdWzV7BT5mcqCJcVI2FMI1JlaIQnLBosTYT7byaAYzDKURbtpag/Jv2RuL/wOGwMu8KHdmDNWBYCxsuQOH1YHjs+q33nEnc19UROgiyoDzO7fvVFV01lVixvVJqF7dSZvwNO8uE4BrHJIFifGgBXNMhkSg1lcHwkotOE5S/+GahZtsuWKDAOuQXjDYuy097V18WM/zKMxSv51jpSNmFth5abNJvGgLM9O5tRLnn1IrclPOS0DoJZlH+XMxAipx828CAOzDGUBWbkuH89WzsLGQL4R0Ap2CWcdYNbAXOxngh2lqO10Or0793IIb5vOH8cBDJVgk++D0TYxbp/XTvuylHoMRc2Lw2ZbB/ZTZxsDu30JZ20wy0BW7uOCszYcDoOz+v4RLF0Js4CRx3J55mK/973T+84uZZ74fXwEfAR8BJYTAQ9mlxO93tjXg9neGKd+7qUHs/08uv7c+iICbF0AAFtXvYozk3YGYYozVyDwkKhBh/n/UOCJfTOk3IpK8CLVszaY5WPf+62TGp5spwRgKAxkeXsYmMV2QII8QRfO1u5SrZaD5EKob2+XatiWh1/6wgUbDLZuLgyPOHZhkBh7vS55Ur022eqza4/FYoGs3F8vp25j3GgDINfxAGbRFuCsDXskmGW1LPoAiJsaMmpXWT76dF7tuHqzGrj19U22EJKnw85g80iGoFqzHYatmpVglqEsjsVglo8LOFIJVJouKIt6uDYAYqGo48JgFiFkkae0MRghf9khgj2x4rzKzJ/Xu9UWCEwX8qqSm1O5p57U393xQCOJXUtAevCLh+5+S73XlYFR/e9iNaaKNXjyGkiKAkA7Q6rT47PFpuR8bGfA9yb50gRQFgXXKxfAWVzjfN1KeM51AdmSlp8qrr9RStA1SmCWC8NZG9RKMKthWnDhfOYT96ub41PqhrWt1iwSzErVrA1mAUsBZbm4wKyeg4FyVqpl5fSIE2Sut2H5y7JKtql+hNVBJ9PuQ4W96ki1FViHveQKu492cqzVqsNglm0K7ONg3sA+By8FXYXhLINZF5CV+9lwlo8v60QpZ5tXrJi93ArkBuSWNgjed3a1ZpJv10fAR8BHIDwChS9+zIenzyOQee1P9/kZ+tPr9gh4MNvtI+T7d0VHIMpPliEGq9JcijM7eHVVp4MoMpy1N8FXVsKsqAHZQdD15s3NS0Zl/X944qwqEJBxJUoJA7PI0I6HYRRWq+pztZKYySWkUjXrUr3KPrUIcDkAgSrNlXzH9joMi8md6WfVjvisc7N+2Ca1MBStWimHZdSuJc0hjQPUwNeQiFZTAiBb9cp2BlEAGEpY2BOg2HAW7cEvU6pluUvpUQPZH58sq4OTJfXRpxuA8j2/+46WnnOsgZ8wXq6l56yaxXJ4WBmgSCiL320wW+8PgTuAmLJjqTUSfdnAHrAWvsgoDGdhYwAgC5sDFCzfR8lU8vSh8wvarp4/pQ79/WfVhi2jWjH7xIVwz9Gw+dGN328p5NQfvCyrNn7va3T3si/dqwrxAQ1l63EmwA2oPVOoEJg1ylfEaZosAqCW5URg/MKDQRXibZIoNXtBszod7dsvl1hZi20S5AfiQ614Xp91Qzfsw6B2fJDgrcO24md/88/r53XDmoT66T2ZOqQtTDf7ITOcxUuM+jJ/C8rqcyBYHJaUC3BWv0txvFCR17+0KXBBWdwvwqwOOplXALIAs67CL7ns1QdLTarYSX+WWgfjACsL+8Uh9xX3mAmaH+scYJZh7jAlHpzNl7VlQSeF4aytlpX7mqRljtUWISs+9JQIqvPcwp8i20aC/zz5pGCdjJSv4yPgI+AjsDIRKH7lEyvTkG+layOQ/s6f6Nq++Y5dGRHwYPbKGGd/lj0YgXff82n1xNGG4lIqY/l0GMZiW5T36WL8/ySgtX1l24XxptIxdWoqr/55dp2zapxgztb1Q86s2PAMzRHokUVCWXxv2wiwglaqZXl/jkfLw3FQgQERnoVd9gS8X1hcO4GzYapZCVpcPrAMarWuj30e4anqSDhUpaRdLkDDYEhnj28DcSSY1XFG0iJKjKX/HYBZqZblGH/8WE3d+7x7Gb8LzGK/7aNpNUBtHp0uaHABACsBLatmJZiFfQHgLBcbzAK6AtrJJfEtLxhowABbGeDnA+A6QW2jYEk8oO5VYw37hXi1rMolY6eQrFVUcmGaKLGBgNWTh9Sn7/4H9bo37FT3ksdsv/jMAsz+bOG4Whf47I6TpcG2771VVbLj9fjj34kNV6nzRUOScNkygmJAi2z2/B0r/nCdQQ2LscE449qS15e2psALi+BINsCVqlk5vtsCn2LXTQfXKeD7xEBCnRaJy1D3mUMn1R/9xadadgOg/aldSa2CvW6seTMSgTGYtZWyXFP6y9qNV4ol7VlrLq5WSseJwFi57oSywb7LAbNhalk0LV+cMZztRrUs+oo5wyJ414setjiIWk1yVWxW7U7l1L+rra4p5PwO89yllpWVbTgbterEPohUyfI2e3+fFKzj4fIVfQR8BHwElhUBD2aXFb6e2NmD2Z4Ypr7upAezfT28/uR6MQJI8vU7H7nfyofeDCzkecnl9a0PdwF0jFDpuGIUOBxopWyCgFgnCa8AZW8qmez0v3Tipc7Qp0iZlKVlxwMEyIbo3zJ7tg1mbShrWESQMV20jr66kn7Zp2wrX20lbRMg0g/8Bg/ZqjF5YsbDMHqW2XDWBVpsuwFuUSrzXEdhMBQFgsqUvKhSLKsELXtOUEIiF8yxwaw+7wDOAsxWCP6W5wu6C/e9YFSs970Q7ueJ7W9/2/epnWRpIAug7HYCfhcXKur58/n6JhvQQjU7T0vk87RU3oay2AlL3wH4UAbJfgFDZSfdcV0XGC/AWUBY3heKy7r/LIlkRwOlLFAjwGycQCWXWI7sDHCw7KgGsw9/6mvq+MGj6ux1e/sGzN4yc0a9UV3UYHaQEvlteMUeNbL7akwIOvdAub52q6pt3Gm+Cy6A88TnWd0HQAZ4jjGBBQmuJPadRSzZW5bVtfbcxnxAG1ItizoMZu1rDopZjKMsmB58TQ+Q/cLm4ZSedxfFy58wMCvbAZj9ye2xOqAFVE1mM9p7VtoX1OeIw1+WtwHK4lpMDmaaEufV702smkcCK/pIP1k7Rrg+wxL22XXt36PUsq5l+PwSq1273bi9nhCMOhf2d+y304/orh9XIxrOHlfGviOq4MUC/ma1KxLOLg7MtlochO1/9113+KRg7QbCb/cR8BHwEVhGBDyYXUbwemRXD2Z7ZKD6uJsezPbx4PpT670IsHWBS63JlgXyrKR9gUsVa6tuGAC4YCI7A7gSgekkPCGAVgJZ7ttnZta1qGahlk0QEEsTSMvQBwUqyIkg0ZIEs4A5YbDVTkgT9WgcBVVdy3KjVLYuSwOcQydw9vcGzIN/mPrNpZrlWEbBWQazgK1h6rlSbkFbHnD/Uc8GtLodgq92YTj7kQMzelM7GCv3f/1rblKvf+1N9a+uW5+lJE1GsTpHy99PzBQUq1a5EgNaqNEm54saurJSdjDwo8XvALOyoE3bvYBhKythUR+JvIbpxQD8JLVSmj5YBq2TSwHkEdtDHUA+Mm/Q4DFWWlCxMkFpeDyTalZN0suHwRH1rSePKJWfU/f/+QNK7dqiPr9gbB16vUAxCzi76+oxlSUwe/sP3EySRFqaT59apaxiBGXV+u2qliRlMUAtxQjJ0yBGxbDgg/GRMBbXMkAW20IgRmz8gLFjQMtJvvS9AS896Cfvw3YmmBOAvrJIn1kJZLnOOKlloZhFkXD2U5/7pvrHzz3c8ZAxpH35zlFVyZsXFXZx+csykEVdfR3Sh21AXG3AOqQddJVWBx2fQFAxSi1rrz7g907tEeRie3Fp6mdgYRL8cZN/L/nor06cVK9ONHuBA8661LP88ke+BHIpW+0zw/w3KzMWd86y7bBkYLjved/ZxcXV1/YR8BHwEVhsBDyYXWzEeq++B7O9N2b91mMPZvttRP359GwEOvGTRQIw/XBPH5f6x4az7R4aAVvRlgvGOoGBBWhdUJb3k6pZwIpk4OWJY2WDZfJcdzyb1OczQz5/gLJhZbHLasPAbNSy3DB1WJRqWC6zd/UdqtnXxE44rQi4fhSc1XYEjiKXUrtUs1D1leaNb6LteQk4K/dhRSwf5uD5ivZNvfdQK7Dt5CKTYJahLPYDlAXYOE9L3c/TeLsKAC0SS6EMBBCf5z0gxzydF89btIVlyoB6JmkUPEwbrQLMAlxATwkFOK4RwFhehoz5iDqYnrzbEVKto/3HnqWfVTr/akUdeO6UeuzQmU5OPbTOa2+9sWXba267YVltunb+0tcPOtv84jceX/Kx9m2FdzTB6cFRtW8vKWYJyO7fQ4poCug1u7ZpOIsYY9gKpCRkJTssKTBGGJ+LlGQOcdUvmURPeJk539+wCfAc15x8gYKx5/FDHXjaogCkj5MlRdg1unmYVPoisRbD2T96/6fUM4dPLikm10/E1X8guwP8lEX6y0ogy3X4OoTXLD6ugpckce1Ta0hePJGo/7vejpUcrNOT+EJps3qovCW0OmwM9FEdqxPsVQadHvNy1WMbg6bxEXQUFgZvST3r7B7Us/9LXau3uYCs3Knd31mXDVEnMbGTfvE+9vEYPHvf2U6i6uv4CPgI+AgsPgIezC4+Zr22hwezvTZi/ddfD2b7b0z9GfVgBCSU5e7LhzkJJPWDehvpDT+ohSUnYYAb5JxyWgREhfHW2gl1c9nYFoQVqZoFlGXIgPojzmQ9pKoLfD9b2zSAYrGKI72P3q8hVQqDC8a+wWScZysH2Q8bektgpKGgtZQa+0rg/WvFr7Q9ASQCc5Uw1WyVlkXDhkDPCYdqVqtlGeoCtDgCyICWwSxA7FJhrOz7jqs3qXe87fuVhLLY3g7MwvMVfrEnZsmDVjSox5E+SOzF6m4A1hiWvAsSi7nP4AIJqpC8DgXQFpAXcwzj8vwLJ9VTzxN4pUafC+Dck8+fiJzTvFECVglW5fevva0VwnbU+CWs9MWvN4NaCW4l3O0U6F6/e6ses5eQgvhl9G+MF1TRe3Zu0WB2gYA6oC3GB/UwJoCyUNliTBc4yZ/e1gCevLyex1lbUpDymQvuh4CvKICuC6DEothgFptO50rqPf/jH5YMZrl5BrT4Hf8GmNU2B3Rtuko7MAuYi+s6OTTQsrsEtQC3uriMVelrtmKpN0IxP0ZL9O+NXdeiLpcHgnrZtVpB1ukVQCvVstx/+VLzzQRlryY4G1U+VnmJOlYbaXtVuv7WLhXIyoPhBRKrZV0A2FbSejjbdqh8BR8BHwEfgUVHwIPZRYes53bwYLbnhqzvOuzBbN8NqT+hXouAC8qa5+1GEhw+p6gEJvZ5G0DV/IAu4aJ+QBVir6hl/7LtV1SOq1uqxzsKM+DsZ3Pr62pZ3gk+swkBMgHLoNRyLUN2HWgxXn3YX4Js28LAJCBqhrfYx8Sj+ehRxwUEiFIev7JyTH0HferFAUkXa2kAj0vtQxkUqYCValm9OQTMYtMnMJw0V1YCyMqIfe79v9IUQ7Yx4DrSZxZAdmLQKAilzQEypgMUAdRBDau9R2li46OX8VJ9LL8uapVmw/MXQ3f8xdPq2cOntEITMA8w9mlK+BRVGK66gOtSYasNQHH8TmEn6roUsJ0obV0KXbS3EueB/i8G3gLWogDYM6jdTcCW1Yi4BjGmsEFgtSyPUxae1PRyB3UBd+E9jLmAOcHXNuwK8OHCFggAtVuCXFuq0lB/x0gF/fpf+f8i58JiNwLM/uTVcXX9uHvNOtsYcLu2nQGu5XJgkeACs/X+ANbBbgOqWX5L0UFnAWUBZ23bj+D2oFuoq0Ppeup1QDtY94tuDg5GZ0d8LlQta4fyK9UtCp9OCkDqSgBZPpYE7O5xa/U590nBOhkpX8dHwEfAR6DzCHgw23mserWmB7O9OnL9028PZvtnLP2Z9GAE3n3Pp9XjWDbtWDaK05FKwDD7gqjT5mX5ttoT+7Ba1t4/rC+od0f522pLzfiNdlKeK2TVn03vaIEH7DPLQFa2xd6g7dp3ee6F7WNbIDDM6cTCQXKPKDCrQZFDNSv71AJneaOAtKGqWYBIApCy2GBWqmZ10i/LN1baGdx3xNgjfPyIW6XbLv6dbP+jX/0RdePebRrOIuaYz1DMcgGAxRLzDYOBqpV0lGVaIj+5UFMbAu/hWaoPf1GAVxTACa2+DJJLgbpilTqAKy9LP3TklDpMn7ACYGmD18XASgaty1WYdhLDS1FnJRXAMjYMbqMg9O6dJkHc7h1b1Euv2aKKBLb2ErBFwcuOAQKyFRp7JHHKBnYo2IYZA6fgAfrHhUJNQ9mBFE20QCyLbVrZSbWSC7PGkoJLqUDWFCfUr3zwa6sWXsDZn9yRaIK0LXYilp0BoCy/aIGS3ekzizcT8DsOPJf1fRDK8TaAFkD2vvj1+nzZxoNPnv8+2Im/ABgR+xBRbj123aigxf0mymLmZwaeb6uWlZMDqlnA2TD1LANU/TJU36daX6wudbKFrXzR14EYdwNuzQurm67Zqu6+601LPaTfz0fAR8BHwEdARMCD2f6fDh7M9v8Yd/sZejDb7SPk+9eXEXiCYOy7P3K/eUgOHuBc4FUqb/Cg6dZhhYfIBWS5dhuG2ASLF6OStXvzL/Mb1L/mNzQe4ul8oZbFEnOoZO3SqWoW+0Wdn90uA+dOYGzrvg0FbVgSMOwDZV9UCQWzYif9EB62PJnArFRQ2WBWJh5qsjEI2n9yWqknpmurCmPl+b/lB25T+KBMf/5BAmQX1LrveHm9SnVwgvwemn0284kBVawZJSRgLC9Lx7WA36Ho+6cHH9bXwrcPnSAVbGcAFvCxE/gKsOgCrotRuMoY7N+1DjM1+Cqm9u+ma4HgM4AhkmqBotzzz99asfvcvs2DCp9YZkDVygQjaT4deHHGQH2GlgT1Dpw23sOLLTbE5d/bxVaqhv/gTz+qD9sO2F63Z5u2RcA1AWsEWFMAtgHKmvsE2aI0HA1UgpKW1ZJpVUvgQ5YCKZOQLV6aV4lSngxwCyaRG5XHXphcVTAr48qQ9oY1rfcHVs2yhQHvF0+RZy7bFfCXCERwb2Awy5vaAVqoZV+MjenqzUmlGqsFbDDLbTOgZYMI+XeovhoBimetFhVnvoJwcjHz1NwjW5Wk3MYb0qfVGzJL84u2rQ2i/GVXA9AyeK3PE2Hd0jQXgkG6+6471L6dlLDPFx8BHwEfAR+BJUfAg9klh65ndvRgtmeGqm876sFs3w6tP7FujYDLuiBKGcvbOgWzRnwZ/lCqtwZQo12M0NQt1RMdWxeEtfe/TxmlliyAiGGJtjpVzboeRMP6ACDbzps3Kh5s/RAFZpejmq0SpK4F3pSwIUgOZhTgjF1kIrAyecjaBapZFE76hX9//GhVPXFRqScJyl7KwmAWUHb6C59X6155k1oLMKslzAlVzRKYjVN/gzW6FfoOYLYMdSw8R8kr9JOf/YbeDEXsUwRiXUUqYDsBsBK+dqLqlMfct3VI/7p/G/lOZrKBVUNM3bRzjapmhtVNm0jpSEvsa4MjKlai8aHzq+Fch8YJClLyK4BB+q6aGtQQEYnFPvJP31wxOAso+76fuFbFh0ZU5eIkAdqsqpw7SeppgpKpAZXevFVVpk5rUBtLEcAkj+LKfE4dnMayeOrOwoI6cLaoz/HgOfJJDQDP4+c6SwInrSA69dzl8Wg3FlDU7iMFNrxsr9uzVYPZDPU5reWz5Fc7fdoMFdSxuRk1/8SjKrZmI302qYULeTWxa2N9KD/04DPqw59/5lJeDqSejauf2mmuT04axknASnMEjkVpAbMCyqKaDWZ5V21xYL11k2pZrme8Sy3/bToGWxk09QWxpWCXyHLGtoKptxfcWvTLxIjbTNj+KzEQYcmy7LbfO3JgWYeDcvbLlc2R5ykPsNKAFm1Ldax9MvbKDg9nlzXcfmcfAR8BHwHlwWz/TwIPZvt/jLv9DD2Y7fYR8v3rqwh06ifLS+/xk1WzUf6yncDY5gfttnmo1FayLACUxc/lFls1a7wWW6EAH2cxqlkNKYS3qKuvrJblJfXLOZ90kN09DDC0U83i2DoRWFBgN6ChLCc+wpJ/ArNI6gXIagNaTgSG+lDMtjyU0z5o897DBqR9/OilhbGyPy8dKKvfGD1P52f6kN22WW3/8e/XY19LkqKTQKYGsyhEGr55eEo99vxprbz7+D9/wzlMi4GwNoBtp3rdt8kkXNKK0yHy4izMq/1bR9Q+grCxLH3G1qvqyed1nRj1O7bxagNmqZ5K0/kMr1WxmUlt3lwbmiAwmycQW1TVwTE6V1JvAoYSrIWas5bM1M/vI/d/Xd3zmUeWMy3r+95522b19jfs1b9XF6hfSP4G4HZ+UqU2GouA6vycqhK4TK7dqNXZxRNHVSydUcnxNap0ljx56bv4YFal1q5TpVOU5I9OMrlhi56Tjxw8Yo5F3327MKgeO0Yy7IDEtYO3LmgbprRlhW2UuvZ6grMod/7gbZRETKmXr6f4VpF0i4wM8jk6r2OqfGFK9/XJTzys5i4sqPGXXKX3uWf8alLN0rbLVBjS7tuU0ZBcekVzl5p8ZoXiWYc/eAET1n3pP/tH8Vc1VYPlShn3HGtno3ht/hYvs+QqAxec5eX73FyUN23UEn9cSoY/G7/oYJq1HSFbtRr192A5alnZkaNkbfDl8uaOEoPpay6I60rfjW1bChzLZbnjk4K1nUa+go+Aj4CPQGgEPJjt/8nhwWz/j3G3n6EHs90+Qr5/fRMBQNmPPURLsB2WBGHJQtjeANvD1J6LWc6vH3T1g1t0WJHc61aCsitZpGpW+iHaClReqr8YOBvl/cqQu3HuizWEMFGAxyWAhvQtZJABpsoP3lGqWXhmotxWPKL25w45M7ezD6VUvNqAFiBHZ363wOy9h00m+PuCnys5fktt6/9KHFXrNwzRuVY0mL2KwGwNKlICs48evageO3xWN33PPz/qPMTv/tKb9fdRStjFANh9GzPqRoJhgKSI4771aXXjxpRWmCaGx1R19oKGssmt16jq9JSqzpzX8Di+dTfBV8oilZ9R1VMvqPjmXSo2YJbKazBbo/YIzOp5NjtZ/7deepwxKltQJzDqYoyOJ+4Djz97XP3mn/zdUkPctN+f/OyrCCZTv2BjQKWaI3/V7KgGy7UcQVRazo9SJhUtwGwsM0jQ9hwJmGnp/MCgqsxcoHlVUJltBmAWDj+jkpu26Y8qldTcI/+ubyKp9RtVmj7Fo8/WbRLiw6Mqnh1SB04t6NjBLuHAWVIJU/0DZ1pfInDHGdjWx/q2G52x6ATW7t+5lsD0S0gJXFL71sVV/tCzWsF8+puH1ZFHzD3t1EJZ/e36XWpqkF4MdEGBevY/7ErWVbTcpTqYtaCsnmNtwKyuQ4F/fOQa9dXYdn3v4pdK2DYzTy+EAoUs2w9IMGsDWRkmCWeNGrQ5iEtRzcr7NKCxXYQNt96EY+I7lzo37O/BzsScemf20IqOOJSzX66EJwazrYpWWj3bCZRma4c733CLwscXHwEfAR8BH4HFRaD0yD8tbgdfu+cikLr5B3quz77D/RUBD2b7azz92XRpBFgpKx/SbEAr7QzkaTCcjTq1xcDZdjYGqwFl0XdWzbJals8nyhoAKrh2pZ1a1gbai1XNMpDlfsBmwYYEvA1oy0hiAAAgAElEQVRgI0MJitZkaYl6UAZSbt/ZH3ruU85TYzBbIXUiFIqySEALT0qA2ScuVNVB+nQTjJV9/pWTT6jN20foM6qez25SxzddrTd/6PPPtpy/VMP+l196izM+nULYfRsJuG6gcSByc+O6FKlgSRG6fouqnCcQTKAuufM6Ao0Lqnz6Ra0eTW2/hlSiQ6p8/JBKbt+jYgG0q85MaYuJ2BYCs1RiFUqqFk+pIvmXpuFdykml8rOqNrJO5VRalVWCkpgFlhI0J1LxmhpO1FQ6Rp65tK2qXVKDlyQBoH3jL/z3dlO9o+0P/d8/buqRUhdwtjY/o2Ija4ikNhS6qrhA9gbHVXyClvYPDKlSjWw+BhqQsnrxnErGTHK42vnTBsqiEOwsnqL9RteQT7T5qnJxilSp5whsj6r07utV+eQLKkH2AdXZi6p8htS2eKmUHVZV8n391pP0O0HGgxdrxiaByuOTbouETmBtJ6AWY//mawfVxUNn1ZqjJ9Vzp+bUqUJFfXrPTR3F81JWYnsDhrQ6AVgIfWwHZvHS4UxyQn1u3a0tpwCrkPlC494C+wJ8GMxGQVlujOFsWGKwKDhrq2YllEX7UIFK5a5ZYBFz2ijY4Yn6e3AXQdldBGdXurjgrK2Qtf+Oh72MXUrfpGrWhtK2vYNXzi4lwn4fHwEfgSs9Ah7M9v8M8GC2/8e428/Qg9luHyHfv56PgLQvsB/GXJYFfMLMJDv1RW0HZxnIsvjKHNscjX++qfLUilgXhA0a4OznFggGWcA1DM52AmYj1bIOdTL61kkCMABZ2EfY7UPJ69rfZJAn6IbkZlRpdKA5qZUdk73nn1YvmWr2uDTQuhEcqZq19ze+sTUNZru5bCvk1NZiTn19pJEAjvvLIDZMDdsphL1xfUrdtHeTXr6+b3NW3XTtVVrpqhWiAD0EuBMjoyp11V5VIvCqkikCs+R7TMvesfS9dO60Sqw1/SsVyUKClLMo5bgB7NVCXg1mjToWYHZuEAm9TCkBIpWKNE8SqhTAWH1t0QcvWwIXB123QB6dWQL3XNhLGT/veNefLnsY9+9ar973C9/daIfsEsoERCv0MyWyt3MFnAvKTDlOc5bmb92mw9RA/8ukBs4WLqpUhfxyCcxWx8lbE8rhhZyJx/RZVZu7SPEz/q0As1Ab6/M9+G8adie37NC/F8+cJGuEE+SdbK6N5PpNpFIeVo888rT+/fHzNQU7hAOnmv1Wub+dwlpYVsCv1rau2JsoqKm5klo7P6ueXbt52fFezQYAad/8kowGszesbfWadoFZneANJaCln1t7qzqTIShvFRvMml3MXI2yIbDbKZZItR/lJ0v9CNvMcNaGsnwMqZrF/RRxcClpcX+OApPc3mqoZWU8pLWBC7q6XrAiNivhuevy1o1S0no4u5pXrm/bR8BHoB8j4MFsP45q8zl5MNv/Y9ztZ+jBbLePkO9fT0egXaIvPjnJKV1WB50GwQVnbYWsY1Wsuq12nD4ra10Q1uffuHBDy6algtkodVTYAz8OjpjIBGP28QECAGady2QtMAsgm6RlwtweK58HCdLiE1VsOMtqWd7HVs3ed8SoGD9+pLthbNg5t1PEShDL3qJ2WzesS5IClpbdDw2rO2/ZQImszqr4yLgGq9XzZ/Sy/cQ2o26tzU2ryplj2p4gddUeUm5SQqwpqjOxgewKCL4GYLa85ioCrAaykphS+5VyOUNLvoFZNXgnFSk8Y+PkF0uMVdeXZTCArkCvEsoCyBYokRlKljJV2cnt0MzfUpKzv//Xb3Z6qTvr7d+9Sb3vXW80504wtkbJvtCPAtEzcFnAWelVDTALtewsgVmUIeo/+sanlad+83wGmI0RjK2Sdy5KMZiCxSqS6ik1Wp5Rw6UZVblwlhSzm0ydXE4lB4xvL5fCU48SjCVIvsHUgd9t6dghldhytUqMr1UVgHPKQhbbcJU68OQh9djJnDpwYl4doJ+u0gncj/KpXVbAL9HON6xNqDfvzTQBWglmNZC15uKZ9BqnWhZdzpGVgwSwgJts0ZIn2FoM5mrU6WlfWXGDlIARXeFtpQhyG2XRI1WzuL/queJS0tLNnCFk1MvJ1VLL2jH6SGmPOlqlxIBWCUveuVLWBiaZG25c7uRr9t/KfTu3qLvvetMlmsH+MD4CPgI+Ar0dAQ9me3v8Oum9B7OdRMnXWc0IeDC7mtH1bV/REfjtez6tnjx6yhaH1kGHDE4ndgWdBpMfTsMsC2wweymhLM7hX0kxq1WzopjHydbSTjEbppbVD8GsBhYjwN9pSGVlLuejM7TltsEeAKeYQUioyypZ3tdWQLWDs2vzk+pVx7+qd7fVsvgOYPZjzxlP0F6Fsewb6rImYBDrUjfinGFFsG8DqStJoflTW4y6E0AKUHZgx25VJsgKMJvau4/g7JgqP3egCcyi/mw1qeZz86oybJSDOfK6HaIl4hPKqDKhcp5Ljaq8cI1gUSugLKBmhuYK+wOfzRW18hXq0rFMsq4yRVuAmgBcAEXgURLI8hzJJA3k5WIgllJ/9y/LB7N3vnG/ToQFIMsF8FgCZAloY2TDMFMiJSLBWZQM9R3nhT5hzgPMouDnBQoQPuMDSbU226wG1yry4OKqkLoYbZQJDKM9wOB0cCFzkqgYqagTs8ZbuHbhDPHxskpuvpoUz3MazMaGJ1R8142qNnlc1aZOkA8uAeZ8UT38GEFb6tvHnjfXxMEp86JCln4HtXVISypxXUK8BMLUstgF/rJctFULK6UD8AloixcJYepZG8q2DIL4gi0SXHX0/TLMC4G2QSGLaQU1NxepmpWwEe2E/T1YqYRfUecpt32RkoJ9ibxnZQkDsxJoLycxGPvISljedHxLMY96+3dt9XC200H19XwEfASu6Ah4MNv/w+/BbP+PcbefoQez3T5Cvn89GQFA2YNHTuq+S7sC8xzdWN65kkCWA8Ueqtaq+HocJZi91FCWO/F/XGxO7sPPjPYzehSY5YfyurhR2BbouDqWbvPxASPCYs/KMZf6ijOGZ9MJDfTs4lrC2g7OsmpWglkAp4PnAWXDEyZ164URBcbagdh9mwcJxqZIEZsgIGtsBGK0FD61dSd5m55QpdMnVWJsTENZLtViQcXXBurLQDELf9hTZQMnT1XMzzECiigAszlSBW4YMu3nSSpbIAC0dtCALlgNEDtVZ/MGyqJAQT1E4w3QCjArCy//B6QdpnkBEIn2WSFrj5MEswxlUeep50+o9/75PyxrWP/4V+9Q+6/d0dSGDWZ5Iy4PvRQ98Lvl7wFT0wSiixSTInXwPIAsKSxRFihWmONQBiNerAjHtQQojWPNQnIcFAayiCnhaoptQi1YasxEKaeGqnmVqRU1mK1ePK+hLJfqM1/XYDaxbrOa/doXtddoejupa4eHVJW8bWF78NiJOZ1w7PGzrddLu/mI40BRa9seLGsgLsHOALQotpIW3z0+slt/XIVtDCSQrcfaUqRivrvUs1Ew1XnMwL9WbjPAFfYE4QDYqECDl1bBzlI1285fnI/33pEDl2BEmg9xtDqsPlLaW/9SKtXxpfxbwdA2zGd+sZ13gXP8PWRo23jJGCM465Wzi42vr+8j4CNw5UXAg9n+H3MPZvt/jLv9DD2Y7fYR8v3ruQhIKNv0IEq/4EFSeut16h/bLghRSzgNGG5YlwLMbqnNqB+tPdWu2VXbLlWzBpCaQxnFaeOw+F7aPPAWW0VldzQKzBq/QrOHDWdlYi9XTLEvlLboF8ZO9094woYldIHf7EQA/mZF0h3uNxKBwcYA6lgDZVuVgKs2GCvQcJQq9j1/+jf6CC5rAihib1yfVPvWpwkQrKNYkuqNEkfVyLO1gsRRVJIEZeFTilKKDWq1rJ4rlLRqmiBgnPxikcQ9XSuodO6CupAar8NYeWpDBE0xvgCr+Fy/wbQzRQC2aC23Pj9f1OM1GsBc1Bsl8Mpq2bCQFQlkoR4rYqG0dZXRAXgRG6WsTIR052/82bJG47N/9stmXgcKVvy0wezFALJOL9CSdQocA6M1GrQaK4MsKSgBpqGQZdUs2mUwy53EPlDPMpgFxOUyT9AXgBplkhSaqAMYzkCc67F6HWB2dO60Sqcp4RVsJoIC1ayam9JgtvjiUf0twCxK6bC5hyW37lLF5x7X/z44l1GPHTmvIe2BM25Qy/P1tbc1vyDCi4NehbQAtCjwo/2bLcbOwlUAQouUzI5VsrKObRWAbVDNzrNvBf2+WCjL7dvKWQaz2F6Aj4ijoI7LToZVs/LlnPzbKpu6VBYGrv4Dzn6RlLOwNuDrzPU3Impb6EB2uIHj51LS8stL2Brc+YZb1L6dWzts1VfzEfAR8BG4siLgwWz/j7cHs/0/xt1+hh7MdvsI+f71TASgkAWUbVdWSiUbBWOdD7n0Jfa5tXpc3XqJ/GSjYvH+uV3qUHk4gKONmhLO2mBWnnMU1A4DsxIG8BH5oVhaFPA2qbpNE6zCx1YjMQRDcPHQDXCbhuSSivk3JVaibfs2tvoOzgSQdvLJg+q9H//3dlOnq7YDbrmSdrEq1gVi4Q8LcASP2FdcjwRdU6oWEMr0nhtUrUgJpqhAAVs5Td6wlMArce1t+rvq6IY6pAGQxYcLq1anKZ6Hzs+rrSPNvqaop20nABwDMMuQUILZHO1/eGpew3aM67axAbVt3LQFted5qGiD5f34zlgVVNVMADvx3dhgA8xy/xjQsiUClKRozy7LAbM37tmq/ujXfrSpSYS2Sq87oHiFgndB9B0VtSrWgtKDmK904c1bdVHfBrP4jtWzeM1xas5YDADE2oVfEEF5vGOckoeJwiAbcczEqmooWVPDCfrQT5TaEVI8btqpFka2qEQ5r1L5C/RzgfxsJ1VtYV4nGysTyAfMz7xkv07whkRw6NMBArSPnyurA6cX9EcWmUwsDNKifi+paX/jx25V2b0vq5/mML0o4AK/17O5grpA4zNPynG7uMAs1wGcBRB1gdKWhkK+kNeOfEHmUs3yyg+XnQL3k+/P8m+BfNGx2gm/Oj1v2Bp8iewNXFYF9n8PhL3c6/RYYfVsoO5SG9991x0ezi430H5/HwEfgb6MgAezfTmsTSflwWz/j3G3n6EHs90+Qr5/PRGBTqEsTibMa24xJ9rpEk67zctlXeA6N1bNulSxDGd5mwtCR4LZQNFqH1fCAN7GD8ZsYSD34eMylMU2O9s11x8iADJCUM4uPN4bSS24adio2mThB/Gf/8/vX8wUuOR1o5aER6li33r9EHmGjqk370mr8sxF3W8kfkpvMB6MpZNHiJ8lFMAsSoXsCABmF1IjqpwZNfUDT4tZgkMSyHIQoPLE54mzc7S9rAAXbTjLYPaFC/m6khNwFnMCcPLMbEGdpQ+KbYPxso3DWj07TeCQIayEsdwPjHWGVKcAr9JHtmlO0S/DBCfRHsA9js/lHyj516eWmADs+t1b1e//0g+3wJ9Tcw1PXHvSAHpJRSy2I/nTsekFDeDWU3xg2wG1MYoLzJ6kugB9sITYOJZREgTax5PuIoCzgLQoiBUUtmjDLgC0sdx5NbHRzBeG8BrOnnpOJ3SDdQVK+cRhlVxHUB/ewzSPEuu30O+b9RyrFSh52dCoevxCTH34c0/q+i5Qq184hChpsU83Q9rdOzerd73jh8iCojWOgLJ4EbRAalkA0hJBVsBZmZwrDMzWVzHQnADMRz2o1FGkR2rL4FlfSNWsfS+WcJahLHYP87kFJMZ16vo7wH26nGpZOxYu31nUcb2oXQ04a//dCrP68XC23Sz2230EfASuxAh4MNv/o+7BbP+PcbefoQez3T5Cvn9dH4HFQFmcTCdgloGgCwIuVinLAewmKMt9QhKwBwvNicB4G+Bsw4ah1dBAw+mQ2SEf7LkKPBURe9eSToChMNCbBmgTyZpcYwK/2aEM+YuKeq6Hbls1K5OFffqBh9X99OmmwjDWlbgLMNaVtOvGdSl1A9kTvO3m9URx8mTRQNB09w0qkR1W1enzav7pg2ro+pv0adYyQ2RJMKzmKqRmjbOCL6bysbSajhv7Aig9zy+U1DmCf/A+RQHkRoGnKxcAu6++aMAvl60jGYK0jTrwmZVgFmAQgPTFiwt1KKuvUYc/cYEgFs5lhAC8nA/yeAxm8d0IzQdXgdsq5u36IeNpy/YY+LkcMPuT33er+in6WAJYUq+W1SQpfQeCxF52n+aEchJQ9vhMQUNZCdwAZwFpofyeprGYJUB9iupxmaXvwAIZMuMlhQvS2mFdnzXWBogbq8fhATxXNJYI7OeL/cbJNkEqbTHeUM+uTZHqN57W86RIScSQnGwoP0Vq2nMqOzGh2ymdPKpio2tUfN0WIn1lVX7qG/r7A2fJYmFoRN3ztePqwAkobBsFc99leQBFOEo3Wh686x0/qHbTsnR4lUq/Uoay6DeDWT5TANrpwILCBrPSA5lXFJQI6tpe4HwsBrZRsJbhLO7HdkHbuCfyvdieh7I+jhH1N+Dq+Kx6Z5aSxXVRsX1n0bWw/x5YKb9ZPn35d6vdi10PZ7to0viu+Aj4CHRFBDyY7YphWNVOeDC7quH1jXcQAQ9mOwiSr+IjEBaBxUJZtGMnAbHbtsGrvQQxKqlVWD9/pPqU2qZmunIgf3t2X2i/2DfQVaFTMKuT3ARAz+WPKNWw9nEAhHSiMOkja1EJQNlBAlfaK1OAWZcSSqpmJZTl43YLnA2zKQiDsW95WZZ8YLPqzbsI6AVkMHP1LlXNz1Myp3Mqvf87icKSwo2gWC01qMrjBMioQP06E/hXcqIowEGpnDxHfq+Asgwx5PXDSk7EFUP09GQzXMM+Es4CzEJVK8uFHNSezcu65TUGVeEUKWkBlAAcASkZzNqQVs41l2qWoSyOj4RY3H99X6AJdOjIKfXf/uIfl3Sd/gGpZa8nOwNpBQIghxhDjQprAqiKAWjxk4sEs8dnFuqxdykVj5/P67kuC5SLALUofJ3xdhvQ2mAW+1Vo/5EMQWpi7oCyroLYMMiTSlvUnQhU6udoHGGrADCrCwUiXVlQw8WLKn7xrIqvD/wzywSRJ0+oKpTZazaoxMQGVT75gr7GHzs5r+75xhl14PhsUzeiIC1bdlxuJS2rZbnjrJqVUBbbcgS9MZftgnk+R+PB22zLAmn1EuYJizYRxzJRehy3uY3G72HQEfsCznIJA7OYR5gTUu1rn8/PDj6vYGXQbUX6zurrXvxtCaZtI0nXCnee//518t8QHs6ucPB9cz4CPgI9HQEPZnt6+DrqvAezHYXJV1rFCHgwu4rB9U33dwSWAmWj/GXDlLCLUbrYEe9GlazdRyhmHyxuapksErwCI9hK13ZgFvDMBkW22jUKyqJDvIReKowk3GUoi7oSzEaNM6tmw5arXi5Lg8XC2LfuG1X7t4+p6wfzeuxSm7frn8UTx2hp+ZDKXH2N/r105rhKkWIWJVatqMroRnWxmq4DWR54COgAW2ARwHBIQlmul6IkaXY5QfYEJ0n1Cng3hqRd2aT+yWUNJV9Doiooo58nD1qUY+Qle4xAI8oEJbCaCFS4eiwDgghYdZzq6fMLVNUAk4CzXCSkzUI1LRJ+STir54TQeNtgFu0BmP7H3/qLlvPr5Iu//e/vMjEOKoO9zZM1AD4oUM1ykepZBrMSyqIe5rnEd4hxnuIh44R6UMtiGbqOG93EpDWD7DcgLXFTHUcAWYa5qIPxXjecJpVtqzcwtkswi99ZaYt/A8xCbTsTeA7vCDyBufNIfpaoltQmFcBWArOVgREVL+ZUvGQ8Z6uzF1RtbpoOlFSxMSShI0h7bFp9+IFva2Nu/JtLO0h7uQAtq2W5n4Cf8BRmJTJ/HwZmMYYAqnOUFE56wfJ+Eszi3lUihbKryGvHWYG+RFtIlGcXXDtQ8PJ8coFZhrLYFy8PHIxZ3Z4+rT/dXD5S2qOOUVIwVgfbfw94dYcrylHbos6Z/4bKF41R9T2c7eYZ5PvmI+AjcCkjUDrwr5fycP5YlyECqX3fcxmO6g/pI9CIgAezfjb4CCwhAh976GF17xcfWfSeLmDHghk8hLqWGEqY2InShTvVC1CW++pSzUZ5B2I/Y3PQvByWoRCAqvEwbN4uY9kOykoAIKE5g1kJZdEfCWaj7Cqg7sTybTfWUOpSqmZ5qbZtVRCmjP1pyvz+8l1r1b4NBkzGxwlipQdU6ehzGsxCNQuVbHF8q4azZbIqKKpEfXl9iRIy5dKjBCBb4SraA8g8T+rYHCk8oZKF0tMuGv6JcWUoi3qAOlJFN0rQbvtak2hq50RWjRIcRIIqCWW5/c0E9AZJ/cxjDZXsFPmzcsmIZF1rCSLKwpAJcw4AcoJsCtAWCiwNbCjL+7KdAX4HlMV8XQqYv478Zd/zyz/cHCqaYBcJsgFMosB7l/+N3xnOQp0MywAkNpNFg6Jgkp6nOJynOnq/QCGOf0u1LH53gdlc0G4O6liCcVkak6yA5rod7VlqFMkuCwQbzGIfhrMA3KyoxvdQzGrVLPUdcLIgvB021WZUKpUiMGu8i1ES8xdUMn+REofRC4XxDRrMqvOnlBpdR4nFcio2P6MeIwXth79ylG44cfXYkfP1fbsF0r7x9TerN95+c71fEwNm7j1/YUF7wspig1kDZBms0zVI4BxgdpbsDSSglWDWjL0ZM1nk3y9scwFevq/aycdM++a+wHBWgll5P5bHRN+lMhcqWahle6FEJQXje5wNbOV/QyzW7gB//zqFshy/t91+i7rzDbf0Qjh9H30EfAR8BFYtAuUnv7BqbfuGuyMCyete3x0d8b24YiPgwewVO/T+xJcagfsIyH6UwOxSCsAFL+e1H5CisiZjWztfONmfXoKy6Letmo1Sw7J6VoJZG9zIh1cJVfEAj4dT1LeXZDcDBgPK7O/QL4yFDWVRj8FsGJQFSEIBHNyZLatUrRmEzVcbicN+7Dc/tJTp1dE+Yb6xYTD2zS8dUDesTaobJsjTc2hYDey8RlVmL5LKkJaIE5hN0Kc6P6dymXGVGSIQO0bZxxHnoDdILsVs7AiBIvjFonDiJyznx7/xExDi6MV8E2hznRRUsxLIyjqubPM67gQEk9SRiwQouSQsT2DA2Ww6qc4TvJVQFmMqbSowd6C+BXySyj98LxWjmCebRzPax9ZlYcKqWQk0lwLmAWaR+IsLkpmhnCGgyoCY7QxkrDDHkfAM0NYuDGYllEUdqJJHSIGMItWyvD8rhgFkAWNlAZjlYgNaCfEAaK/ZYDyGUVJJd5IntLdllIC65TW8CeCcQrCARFXBRDxDYwoF9mZKwIcXIyhsn4F/Zyt5NaKMglbNEnwFmKWfALNQ0qrsqAbsjx0+qz70hed0tcdemKr3kSFtWOKw1VTS3vP//CfdD7Z1wL9x3Z2aNdca4OwsqZ3xk8GsBLJyjAYgaw6KBLQuMGrDWfvFof2iRI9l4C1rb+MXE3xsbMe1hXtJGJRFXVs1260WBjLG8t+upGD2C1wJYOXfF5cdTthxlvI9/wX8me+6Vb3l9a9YShN+Hx8BHwEfgb6IgAezfTGMkSfhwWz/j3G3n6EHs90+Qr5/XRUBQFl8Fps1mR9w8PBJiFWr8uziSirFdfpVKStjIOFsWCIuWR8xQRhdSWTClMkMfKOgLI5hIEHrGGF/ADnX/oAHUJuh7wCN2UAxyRCIWwOgA/wYVXk1xiBIHKoWT6oP/8tBdc9nH13RuQ91rEsZi4OwTyYf8K03DJMqNq32XTWm4sNjqjR1TlVmZjWUBZxFAZwFsAKYLQ2vU+eSayhuxjsVhYEYg1moMuEDqtWRtoFlcOBJSiiFRFxhy+G5f3mCflimnRIqVt7mgkHYVqR9CgQK41BTC7sB/neC4B/KxolBArMNpSy+M+C/AawWCGQC1GYJIMpig1lsA4jaOj6oMhQXjL2GTIHqF9tgsSDPdylg9ifeeKv6CUr8BSArVbHnApUrEqDhGNLOAAm2oC4+fK7hyzsc+LNiHmOIcnSeAOB2AXBG36UdQZHUzUV4xNJ+Bfp3XMQL++P+xv7D3J6OIZ1/imLDqll5rI0EtWFvIMEsfG5RTtBP3IcB9K9eayDu1aSORpIwgFnE+CKNN86zkUTMKOnXk3WFfV0C9qfpZcmaIsFWXPypjOnK3AXKMmeSiGlIS5uqGXMNPP70UfWhzz9D/yIlLQFbLi5Ii6Rhq5Ew7H2/+L3quuv2qIVq8w3rJEFZXCOyAMyeIB/haQuYyzoSzPL3ALSYC2wxIOsznA17cSivR3lftRW1tu0MjgFFtsvr2J6PDGd7SS0rz8FOCmb//ZIA1n7Bs9j/FrFj5/rdPj7+1gLMejjbSfR8HR8BH4F+jIAHs/04qs3n5MFs/49xt5+hB7PdPkK+f10TAYay6FCnD0Os6jQ/zQfZy11+smFgFqs7TRKs9qHo5iRf7Xp/uDKsPjh/TWSmbbTBwBQP8oAsOm5W4y4wiyoucGb3C+0DvqLYgDBNxxzh5EL2MWm/daSK3USKvKgCoIV2UDKqTHA2r39yqSWNz+av/eln1GPPL88n0WVVAEAE9V4LjCXP2BjBqLe+jI5PXrA1mqjJTVepeMb8XqEl7/E165tOrUA+k9UNO/V3vGx+kAAn4CyrZueCpfKAslwK1vJqfP/tkzMKibigeAX4C4OzgLL5IGkU9gOcHSLQJiGtVM0CyBYFiAKqSlhwth57LPWlOZUh4JoUalr2l0U9QFlASIDHtSPNY23PL8xNjPU6qoc5BTgrCyDLFto2II717OGT6o8/sLgEYL/7i29Su3eahGqyMJjFdzgWrpOzpBrlJFtQJF4kywgkfZKFfXMByku4YYkCQI3xmad95gP1cy5IzoZq1UDlmCRgmhJKVheY5WYZ0FpsUZWprSGygpgg0Ip7IGCsLEgUhXavWtdQ1wLM7lw3qH2C7WRiUplsw1n2Lp6jsV2bIsAdM9B9IFZWyVpZZaukpi1QMmXdRH4AACAASURBVLuR4BqgayIxew6TSdXiKfXokQvqnn85oB47dKapj6sJaffv3qQAZmvJtConMk1w9vCFQr0frAzG+GNOwL5imsbOBrfYIe1QJy9QfcwVXjHADfMLFowD4GjYnyhcj7YVAtrg61TaGHDbeIGBv7NFusfY/uItE52+wEuGXlPLyvOQcNb19wuxQOGXlrxyhNvo4D8PXGGrfyf/W0VWlP+t4uFsZAj9Rh8BH4E+joAHs308uMGpeTDb/2Pc7WfowWy3j5DvX1dEQEJZ+6HU1UHXgxUrO6XqyFYZ2XYGgLIMqBwsq37oreSd+KO1p7oiVsvpBFSzD5VoKXxII3hI5AdTrWIM7AaifPi4KZ20iSCPyxuR67BHqCX2q/eGl7CnLJsDVEDfxii7/Agthdcety7JLdUDhLOh4wZKTAQ4W0vQEmvysUT58D8/umTVbJg69ktfP6ihLJe3vXwNHS6hoJAlkqXVr7VSQVUpEVJ1Ia/SO681VSslVVtDWe3Txq+1EEurQjxDXrBVvRwcIFb6mSI+gykTgzMEW4+QClYWqZqdIXD67ZMmMROUeWwN4IKzM7TsHrAOpUrAUL6sAJiF8jINFS0dH6DGhrJ6v6AjLjir4WEg9c3ScneGswxmAWULAWQCmDVzqqGalWCWbTNwuK2kwkWx4SzmyQTZAmAeZ6g9ns+L9Zm9733vciqRJZiFkhZL+aUHL0A4FI1I6mUrE5GEbZognq1yxXmUCV6WaB+oj+0CgC8LA1qdTMzyJK3AakB4wOqVAVaTiGOarttBy5cW1zzPhTEC82OBVQiODdsGqG23ciKwoEP2cnkJZwFmAWXhbzxMc2iExlbfxwOWjq5nFG1L0PnpwSVQWaTEcHS91lLmZUq8vECQNqkePTyp7vnMI+rA8+RVG5TVALSAsoCzNbqGa+mstgwp1WJ0HsbGgIEsvwjCCxHMCb5uAGZtQIsYyVUIgLJsM8HwrmXQ6YuFEnkIB+PL7fN9HN/jvmvfEllNK8dF2hbg2Awk5fXkOv5VsVn19gFjMdEyiVw7dOl3SAr2Ys3YZrQU+tKlIA7zo+30FMNeZOpI0qDJcfNwttOo+no+Aj4C/RQBD2b7aTTd5+LBbP+PcbefoQez3T5Cvn+XPQIf/cLD6pNf/lZLP1yqWX7AwYOMhEZaEcTeelY2a6lIkWAW9eUDURiY7TU/2dAB1QGrqd/LmyQ2jYf7Wh3Gyn21p6sgqKwgwk/5oMlAlveNyigOyMbLbW32KpOFDVrepGib1XjaLxWQkBpwLc91gVnsvz42rybvf7B+irPPvKD+9OA59e01mzq6BlzesWHqWG7wgbv2qMTIuAaxNSgACczW40QwJT5ByZAKtNSdtpUntlEyr2ENZLnMYOk6lbXk3yrBLG8HsH1uKq9hl10AibAs/bhYKi/BLOpLOCuhLLZp0BciI4/RJAC0c1mASGxow1kb9jKcReIvqEKxtBpFvyAI5p5UzUowK69lBrPY18B/k5yJwSzHBnAW82MxYPZl5C/7X37R+MvquS3gJ4NZ6S9rq2WxH2C49MrFOEySnUPVAqfczwLBdGxDiVvXgg1mdR26l/FKARvG1ucFvJ9pviQtewozzjQXaI5JOIt2GFK5wCy2bSEwK+GsDWZxbFyrO6neAoFDnqc2mEVIOa7D8aoajhPIhmVDDDYUNI7VkooD1Fbp5QogaWpQxUoL6vZf/mDLvMcXKwFptxdz6r+96Xq14btfY8Z+YKR+rNPzBFwLlboynzfAygJja78AlIBWgtkctcGJwbiNMJsZxBtw1lW0Lyp9YHEBlS1ftgxm+T5pe8lKMMvthq0s+b2BqGScEvg7kaez35fry78p7VXHao3xrMeeAmRsG5pfXcqXgPLvYCf9j4Ky+tp1vIT0cLaTyPo6PgI+Av0UAQ9m+2k03efiwWz/j3G3n6EHs90+Qr5/lzUC9zz4TfU3BGY5YQkeWvnBVIJZlyebfICUkBXKIRdPMsnAzAOXyzcVcMDer9+gLM79C6SYfajcvCwbSkM8xEvBnQ1meaLwQ6v2giUA5oKjBUvVh30ZynI7Rp1rfrOThWEe2KpZuUx6nAAvq9RsQAtPTFlGyWd2LHda1cjL8sS/flOd/Mq39WbArK+fnFOfvGZ/5DUAdSxAj0w6FJbIy27owZ+/VsWzxi+zOkzq2RQpdgfo9wFaGq6VgAbCIly5Uq0pIRqAzXygXgWohnoW0A+qQxT8+zgl8jo7W6yDSHw/TIpilBlaSn3SUtLaYBb1AGdzpPJjdaQ8B8A5LlBwopSDnzqGUP/R/hIuNOs5m20NZHvc7jBZUwBkMZTF97A74DalapY9Wm14JMEs9mc4y0nP5DkdPXZGPfDQo+oZsjRo6HtFDf3moWGJ8LJrtqgfI49Z/KzHgigoYgmPVTvpF2AX4BirZXkfaWcAKMsqSRlPPRdINYx4SAVsnJa/G7sV+l68eOJkXxg7KGO1v6/jpYa8sWVI/cqFoayeBxaYZRsDrivtDGZFMjNYj7x0k5njLjCL5fQZKJdJcSuvTcDZUbpWoZgFlJX3njTprlNJM48xlvpeUauoVKWgYgnqP8HZA8+8qH79Tz4lh7bl38sBtD85dUS9erO5l+z4+beq7N49qpQwyl0yDlCT82S5IdTIeBEyRWBWbxffy04B0CJ2mDMyGZusE6WaLZZJSe14g5ghj2PcLxj+Y54woM3TsXCvdFmX2GAW91h44NrWG69LnlSvTTbUyZFBx2u7kNUM0ftd2q1frmxWX640/x3kew7iJ4G5a3VGJ4C2HZTFGdtgFvvgXvjT5Dn7dkoK5ouPgI+Aj8CVEAEPZvt/lD2Y7f8x7vYz9GC220fI9++yReDACyfUr3/QPFjbcI+VPWEPNvwww8okJK/hohUvNh0KNvJDvuu50QazfQNlAaMt4syqWf1gKJSxMkFQGJjV40XxBpAxsLu12HYGZol5MzCVy5hd3rS2ataGPhvE0moABe0tS5THJP5aIO9KAkLwlkVyoZxJpFWlhFoP/9f/ZeZcNqm+9sK0enJik1M1G2ZX8P+z9yZwcl3Vue/qobp6bnVLrdZoyZItj7KNZzPZgJkCN2EIYbBlmyT35oWEJNwL4V0IvB/4chNeXkgI3ECSmwueSQhhCDMOxAYCHrEkT3iQNc/qVs/d1VXVb337nHVq1a59aupqqat7b1N0qc60z9r7nKr9P9/+lu0dW+wCuuVlZ9ItL9/IGeiXU7a9z0zPjooCsyMpKDF5Kreaug4QKx6Tx1lNephhnp3UC+AVSYOsGeysrMvQoRMTJuZtyrPXBrOYMj8+zF6ZAsgZ4Mj0eSTtgsI1xaq+OGWnnIsGtK5LD8pZrCPXq6hBEQ50oRa2G9DT9vFe9y2BswCzrinXNphFvXCtT58con37gqRRu3Yfpl17LE9hhn3m8kDKwLAvGzsAbpsGmWOvGljg7FtfczlNMiTrWtEXwXNZDQmgoISEt6wuYmcgallZpsEs4gMwi2JbEwBWgxcDzALIasgNKCuXuBPOqutfVLP4yFZ2CpzVNgZST1HN4v4KsKiLwFm5j58Ik7udCJOj9SABGfcngNl+9rPFX4DZHlifADZzXfCgwSRX4xeU4LA6wF/ch+R+DyiJa72F4/D4M3vp/SXArK6jDWmLqd1fPHqUXjx2jDZu6Da7aO1tpYHXXEeJiy/n67gn2u0ot/NoKujxUMui7aO2c/jF4P6Kjwcncz7EroRfxZIz2nAW68q91QaqqAuO6DoGlmkwi/untJ9WeG9sHKWbW57Ja+/S/6hPOKshqYbbcbY5EgcXpC0HymJ7fcxgGzIexbjOPv1f3kSXbGKLG198BHwEfAQWeQQ8mF3kDcyn58Hs4m/jhX6GHswu9Bby9TstEdBQ1gxOeHBpK3oA8zBIcalfc8qWYOipFbBxYDbI/B54YwaqpEJhj4iRFjOURcS0ahYDcg0CBM66wKwM3sU6wsSQ/7NVPxrMuqCsdDpsj30CvNnFVs3aYBZKWfiH6tLf1kjrmiepQQCoQFmsxAl8ZlNTdOAHD9Phnz1FiY4E/e3xZAGUtYEs1LEolQBZqdMtrzyH3v2qcyjTszr4CPVSHXo29JQVMAsuKz6oYmMAKIsXik7qBSXcIQazkjFdx+EIf47EUQBvbawuFjgL9aJMT5/mfWLKPIpL4QdACXBrQ9JSNwxjQeDg9QC9RrNuXdDoO4CiCa6nwFnXMWFpADBrw0TUB2D20IGjdPAgJ4vigveHwvfx9Q18TCNf1rAvS/0aGOSXKoC369evNKu95Jqt5u/atf10iGG3rWwU2KXVslhfQ29Ry5rPXZ6xFpA1XQqA1VJo5sFZe1p2aGeg1bL6PHv72shWy8pyqGYN3HeoNnE9rmLLAgBou6xwJOwDnN060GkeNoyHcBPb4T4NIIuCfeJ9G78QTzkV3FPu+tYD5lVpKUdFCxuDF3PisVef30FtHI/OjWupc/MG4xcNMJtesSECtAJni4FZ3FMBoE27Qo3JL62Yxf0S1zOK8Yrlv3EPvbCOhrNIFucCqhJL+W607TSwXMCshrLB/nPWG4CygLOVlfoAszgnrZx12Qqk+eFUcOcqXQTQYs1icF32pP1lBcpimYBZvPdwtnTc/Ro+Aj4C9R8BD2brvw1LnYEHs6Ui5JfPdwQ8mJ3vCPv9110EbCgrJ6BVszKlEsvsacvaMzYYABUC1hk13dcARjW916iWlJpJQ1rwhsUOZSXegLP381ROlxWBwFkAEBR74K49fXODzGAwKkABdgaS7MvVSbEMDM8AeIfPHrbRcDbOvxLT1VG6WX3XzeBuRQMnwmLg1jjFMGEQ09XDEoLZ2akJ+puvPkH/vD/n1wgYi/LR994YrQ4gWw2M1ed6yZnL6S//8FdNVveoKDgLMAulLMCsFBHNAvQAyE4oWwid1AtqWShjUXTCKXwGMGsUX2KFEMJZAbMaymJ7G9JhO8A+KGYB3mV2chykFTAo0LRJKdhz/YMBPqbaK99iM0VdKVNlmr1rOj7gfT8nnMK1O3j0BJ3gF4p5f+S4q4uV+AzJsgLFrCmGGqtNYlSzeqcuVS2Wr1zVb1Y7/+JzzN/+VcsNED8yMk2jbH+gi4BZQHBpLyw3tgUKuKZZoYvlNrDTalm936Ctgk/s6ysRKo9dAUrysuYQjNrLoZpFEjiB+5N8Luh7sFJAvVb0JKmXH3jogvsLFLN2gdJ7Fbfn+p4gcZsUgFj7Id2yVk4UBiGzKLv5fvHhT/8L7Xz2gOsUyvqsHECLHb3j7Fb6z6/ezBYKDOrF4qKPEygObIoS3R2ZyNBhTvQmZYyVtHJNCpA1bcovsYIx/q+21J2Xi7oVqutiRZKBwcZAt6+oZu3vPewL7QboKu2H+4F9b4/Ogdu2OrWs7KH+4Kz9wFedScGshLi2kdk+uE9pv1/X+nI8DWWxHvqPLh7OlnVJ+5V8BHwE6jgCHszWceOVWXUPZssMlF9t3iLgwey8hdbvuB4j8Ojz++n9//ANpwWdVs0C1unBuYazGsy6oCziImBWVLI6Vi6FoSx/S/YpWkcj9RjawjrrafMxZ/SxqcucYBarAwIaMKqmuEYDVSg7HRnjsTzwjkUSFYauDHGCtsxVAPuUtgW0wbrRtFFHPcXSwAWQsTrAbB+Dn/4QCLWzfUF7A+AXK88mTnLCIB7kTnCb8kj5iz/eTV+8/4XoKPMFZPVp3Pu595qkRZGKFwtDODvbnKSRNKu4rfn/sC04Ek4Dt0OCdhlLpY1aVoru04CyAmwB+6RAOTvLsR9hX1o7gZQGswJlsZ2xHDB8JacYM+0bWg0E8LZwzraso+su+9BwVtSysh7+DWiowez40EkaH2I7CvTJsVEDYnUxCleXrL7UVWzUsjGeJ+G2pVSzcWDW6Mgtm4/+geUEEDaw+Uyz946+ZVENUwCcyrc1atcQrAuUlc9l34Gq1n2iaDuogWGBYBdsD3sJZ8Eyo6rNXbTSHvAT7mQ4KzBWb491cKxeXq7hrNgYyLrom6IWXccWAUjItrIjl/CuK0zchvUDde4sLWP/W+MlHZ4Lav62P/psqRYue7mtkofNAR7K3PfgjmgfN1+1im6+ipXvDGWpbw1fSwxqGdbiGeAY3260aBm2DLtxHYbtJzuxE1rGwVmcX4IfWBwLLSHiTmSS7wO2RYyoXZMxcB37EkCLtoi7r2I/72x8ugq1bNRL68JrVmq7h5OB3cVJwQqvleABYSnQissdlge2u0+x7cz9jw+oL1G0DRSzdvnUb/8aXXbWurL7tF/RR8BHwEegniLgwWw9tVZ1dfVgtrq4+a1qFwEPZmsXS7+nOo8AoOx7/uZfIoWknsYnpyagDj6hdhE4K2A2DsrKwBPwzzWdEAMlOxM2tllqUBbnjOQnP866PewAXttZpejyJ3QpZnV7dTMoxbYAEXFTOg00d/h42pBWVLMugACos4xB3hqe5i4D4gDMzjAIZWgF1ePMBN323e30xR88EVWxFv6x5V6OP/j8H5pVBcxGkBZgkKdGj2SaIzA7Gib32sdQB7YF+uFEc2j3gfjsV/BV+jv46EmGucPK21SDWQDXSV4eAVJFAwTMaihrrjeBrhacxTGxvNh0a4gLI0WYRSsEzmr1LPY5OTJMqfFRAwYDIMvewCVKKbgat3mglnUYgeoNAFq4jeKKOX+bxIQrN6gEYnHbd/QGcLZ33Xqjhm3rDjxNpQCuzlhKWtOXzMOMQgsDvW2aoZ25x1pgFtuZ69eRJCyYis1QUMFRu+7woYUncH6YApgrZVN/e/Re2xhoKIsHNv1dgZK8mx8a9CQTkY2BAFksw/XfGdYHp9LK1/wTzx2gj332q6W6RsXLXT60NqC9+KzVdPPrL6VLtqw1SvjxEMpy7j5TpO74jjk4Op0HZ22PaKxv+/UGoI59Yzk+uPcWg7N4aCb+p1pNP8FtX2oqPe7PE6zMHHM8EEC9rs7spWtm97NSOGjXYtd6fKDrRzWLc3DBWXOtqGvI9WBXVLKlOpwNaYPfKPlbucAsPkO/+vx73uLhbKkg++U+Aj4CdRmBzPOVWxPV5Yku4Uo3bb5qCZ+9P/WFEAEPZhdCK/g6nPYICJRFRQD8bMgmkBaDSQwYXRmksa34P0aZukMoEk3Z5TfYB3zhMJgx+3WcvZ76vXZ2hO0LDiwppSxCkp1hcMOjwj/NXu3sH0jogyRfGEwiXrYyUidckx0AyKJAJSfT5jHwbLEgUByU1RXRgLaVt0dmcRRkcjd/MT2fYRAUs2jlJv7YiCd52YoG+MyyQva7j9Ft33k02m05/rEAL9ufKzcDeelLa9sbr6ab3pj/Y0QgLWDKgXFOeoQkW6HkDv6dJyfTZiCuPWXlSMNscbDr6HiQTCkEVogvpshDLasLYJ9YGkyGU60zPCVeCtrfwFE8rAjtC2RZHpjlDzXgM9PsMX2dwbpO2mVHQ+CsC+pkpsYpNRF4VwLITo1WoVQHPC4FVx1NVBaUjYIEFRx8c93K0/gM9IWqWVdvmWVAH8Qn2H9rCGd71wLWssdvSw5y5qrEidRUwi97vxmGuRIX4/mrioSrma/tAluEEC7GgVlUE1YGaHMNZ40CV4FZUc2KjYEGslIVDWbleu5ra2HQyB6nSn6qwSzWw/3k2V0H6db/9bXSF1+Za1y8up22H5qI1i4X0L79DVfTuZvXmpYDmA0SowVqR3n4J3DWVsvKwWzVrLGD4YVGIcxth/tAHJyFT69dcG+FX20ccMX6+I7Fw8/BsZnY9d6X+kl+n5fv2kpBrerbZTbHaV0NcPbH6dW0l/9Kf7N/j2jAWi6Uta9BKNbh5WwX9H2xmpBlOknbQ5/6g9MaH39wHwEfAR+B+YiAB7PzEdWFtU8PZhdWeyzF2ngwuxRb3Z9zQQTe8zdfoUefz/kBupI9YSMAplYe+IsPn70jzKzuYr/BuOmXev1pDaAsQCuqF0DZt84+VQctBmISM/XYHvHlGWW6T202w+CGg9nA/oRQzP5kNn+KJOA5wKyok7EXDCK1elaDWQ1k5Yg60VTQtgE0x6uc9tM1h50BlLGdCkQAyrYbKBskIMP/wH8RqX/59s/o7u8+Eu2iHCB78+suYSXcZQTf19u+9TDd/s2f16RfvOsNV9EN/NIFkBvsaYhh6hirZPXwfIjBqzw4sOHs0RFW0nI7HB9N5e0P8Zxg5ds470/7TQqYBZQV/1L4xkZK2HAv+DcEpDZ8zVtPqWYBZaMkWSXgLCDezOQYpcYC8DrNilioYmtRqlHLVgRldSVdnrNm6nLcdVkazALKBsW9rqiSWzo6zVqd/UESuZb2Ln5QEnNto2/Z975QlqcZNvqJtjOQhxrYK2wMbKWtnCbALIqGs2JjoGsEOLtxRbuBTDrRlaxjg1k8kFjOYBYPWvT9AQ9l7BkUX/v+Q4RXLQqg7F/8p/XU0NJKt/1kN93+2HC023IA7QVnraX/8QdvNpYGI6xABUjG9xfE5jhv3O8OjU3TuLIVsestcFbUslguYNZcMw44C6Wsjou27cFDGheYhcJW/H5hVYA6wpPWXteoZfkV/9AhVMzj2ufvkPJKfaln72RbA8DZwNs8/wxFWW4sDvBfCeG9Kz4A9/iO1GpcrKevQ/zbvn4u4wcBn/+9t5YXcr+Wj4CPgI9AnUTAg9k6aag5VNOD2TkEz29akwh4MFuTMPqd1HMEbCiLc3ElfMKABECwg5WQroG8bLeSE8ZgIOuaYq/jJKpZO3YAKQBjq7N1AmVl1BcLgMIzLMNT1gz84EuZDhIQAcyi/GkmHxxqj0g7cRCSeiF+AmYBZV3JfWwwi+MApOop1HFIC4NVTN03f9VcT4CFVZ0MbxSgNWA2nNr9le89SF/+7oNRk5cDZG95zVa65XUXG9sD+EbOtgZKqVf9zqdrctltPXst/dn7goE04gYYgqQ/eMGDcpqJzrSibBrMYhsAHUDXozwtWgrsCrTqO83Xwwj7UUJFCaBmvAsRN+474wxxdVKpoB75cBaes8EU99zUd9NPLOIgsA6KTF20cnZmgiFsqIQ1QHa8CiVsOZGvVC1r1meaWQ1FkfrYcLYomEU8Cy1Zgl3ZsS0EswJt4/aRaA9gbceKHKzFv7VaVqotqln71BOhylVAU259hrZK5a5vPQJmsS7gbBIq13A/gedtQIzRl5CsrYvvD5JEUDcrEvV1sy0CgCz6MkBkd2iRgPuEJPWDjYENr/7sc1+jp59Xif3K6S8x63zqrWfTizb2BdfnyCBlpyZp+8EJun3nGO04GjwAcSUKs5MDvuk1V9DbXndlBGVxTlrxjgcw+kGLrYaHpYGoZU1sAV5VG4wwQMVLCpaJktPlpX5oOF89D5UsXlIEzOLfh9W667LD9Lb0zmC1It85sNlAv8K1L3YHZTdDnahoAWcPNnSbMIiri2aw0j7R7I4KAG1vRwvtOjZu2tDu39q2W6tlJb4ezpbd0/yKPgI+AnUSAQ9m66Sh5lBND2bnEDy/aU0i4MFsTcLod1KvEfjNv/hHenTXfjP9VftJajsDrRABeAPoi1NZrWQvUUlqUgrOxoFZxPLK7AG6Iru/DsKqEhsVGcwaiMNAJD4ZUe5Us6kwezigUjgtVatmocLSimYbzGJPADBQ1IpS1hVIG8xC8bqM2/YEK0LjShuDYkn25VoHSYB6eR+AsVCMgT3i9ZXvPVQ5kL3+PLrl1VtpNtFqXg2ZGeP5mmnpMHDltm8+QHd/qzaeV//62fdGA3uBsji/8RQ/YOBYInM7/CfFxkCfO0DtQU7YpYsNZsenZmia1XoAs7pMM8iBz6yt6jRWBJCfh0XALP4J+Bo8vADEtFohJOlQzKIAvKbZkgAFf/Fvu+RUobW93CpSywLKQhJci2LgdQ5wFb/mXEpYl/2CvZ5ep7TyVk4LsBZAva13wHyUaAvgbZwXrtgZ2PnbjAdwGWAW+25m2Oeys8D2HQxaJUkg4CxmREhCQPjL4pYmDxg0mDV1534IONvPD2I0UIZC8Tc/8LlatCTd8poL6eZLe4N9zfCDDX6okB0ZMn2lkVXJv9h9gu7YOR4LaF1JwgBo38wvxBSw1dyrjL1A7nrDdT7E1yzuBVLwnWd7nwNQ66LhrIBZPCBz+clq1awNZXF/S0HiGxatmn3bzE5aNxuqhmPArHlow69G6SPhd0llPrT1oaC9J3OO8Z61i7HoKbAJCe7jpZ79BDNSEjTEnt9D/JBN7BCkHaVbxP0Owr35onWr6Avvf0dNrgO/Ex8BHwEfgdMdAQ9mT3cLzP/xPZid/xj7IxSPgAezvocs2Qi869Y76YGn9lAHq6akyAAeoBaDdpv7CJiV9bVaBOoqW5lZCs5qOwPZJ4AswGxdlDwVrHsgK1DWnE8JBR98ZaNRowKz2BRw9ueN6w1w1UXbGeBzDEYBWNAWgdLOLRMCGEABQACQFXXRCKs/NZCQYxk1baiUtdumh+vUx1Oj8+rF/8B05q+qKc1lKWSvP98k7wGEbZhh4NmcZDDbRukGVu81NKnwNNDd364NnP36Z95rqq6hLP4tYBbvAWcneQq6+MviM6jqoGw7xmpZbe+hwSzUsrAwAChJK/gDeA7f2FQIwgM4l0viI6pZbJdRkMZ0I0zRtebUArpCDQswhr8CZIM2CUBiobqzOg9Yu/1d/y4bzNYSyqqKGDhrIG2cKjZYOT8m8fHQ69kwu5xEYnExa27tMIsSDBoBagXW4jM8dME92b6E0f6wMwjqn79nrZiVJS18b9Yl2C8gbABiXWUjJwjr5NkRUmwwi89buG7L21vMX0ly9UtWyv6/f/v1crpI0XUu2byS/up3X4UpBNSQTtHsTKBIzxzeyzMJ+N7G/waobUgk6RcvHKc7drCC9ljwUKkciwPA2Vdfd2mgguUYCpg1UDR8KDKs7oVIZIjvs0nlO2qDWRwbcHacH8LAX1qgd9yJHmcLBddsBhvMDaHy+gAAIABJREFUYnuoZvPUsq7G58+M93T4ACgCs2EFMAOjIjhbJ8rZn2TXEF662LM59LJSCloBs/ACPqR8wfH7B/1Fbr22Wlbu2ZgBMcX2NL//ppfSe9/80jlfC34HPgI+Aj4CpzsCHsye7haY/+N7MDv/MfZHKB4BD2Z9D1mSEfj0V+6nv/7Kj825I5FMixqA47Mk/7uVX5L0S4Jkg1l8LoOT9X1tzlgWg7O2arauoCywZyExyY+BCzrFwFnxlY12YIFZfP7ZxEsKBvsazAqUxbr2gN+GtACzopLVlYaKTMMH7LOLVXdQCUFtBBwkyiH4yEK928LwC0mBgizWDfT1H+R7TJYFZF/FCllWyAHEME2jbFuPqdbMLCeLYzAL/gSFkmBmvAd/+PU//Oycr+F3vP5K+nWe5mwD6eGpfBUnvCgHLUWxKN8CG4SgdhrMQi0rth4zDGykpHjqNAqmtudZGYRwFtcevEi1Wla2FQiLf08MHi55/vFeqfMEZsu0MTDwtkyLj5In6VqB+1Fjcz6ULFwtULwGDzDi5zrn4Gs5itqqahttJHC2mUFtsrPLeNbaBfdtl2ASViQ2fIM6VuwMTCKwUEkZB2ZxTS/jBy2wrRGf1DYGuAIiDQvm/8P3wbLQ3gBgFoD2uV2HagJm//K9r6dLzlzBSQIx24ATITKclZIdPUnZoSPmPtHQkqT04X3Gk3v7kRTd+eQk7TheHqDdsmkNvfFVl9M5m9cYG4PgnpJTxuJ+ADiLcwPog3IS90E8vEKByliAdFQ33l7bmNjtJm2GfUk7IfmaVuNqGwPZHqrZ14/9IqeWlQWqE2goi8U2mDXNVpG1QX2oZnFeNpxFX3Qplc1sBF5fHkRi5ohd4KMvs1IOMphF+0jBdxzaHO2FPmNmLuDOodTVgLJyT/dwdm73Qr+1j4CPwMKIgAezC6Md5rMWHszOZ3T9vsuJgAez5UTJr7OoIqChrJyYVs3is+7u1uicMe6TAY4LzGJFfI7BjF3EYw+DIO2/J+sBZAHcotQXlDUjMUe/UAPZIkpAW8WnfWWjnRof0pzaL8Nq2kcSG+ix9k0RDxY1LGIPlawuLiWWLF/ZkTADS5eYVoNZJPPqamk2sAJ+q1LwufghYpCa5HpinW/928P0DGdk/yW/UABkoV679qqLzL/h+4hy62fuivZ1y8s20C0v53NatgpPCVgly96LbFuQZS/ZTFMLTTfmFN3TTGIxDtZA6p++8yD9k/KtreZihffkW193RUE8BMzi3ABbjk+maFj5SOJYJ3i6K0CKUWGFg3MBs6KWlTpBMYu2njGesTkIKKrZvLqDfmG69clho4BFKQfCus5fKzyLKT+riZ3zeHGZr9TK8w5l5VjadzbsOJHINE8RWNyAUuLmtn4o386g2hiLZy0gLd539i1z7qoUmDWJwMI44P7cYSnwAaTwucApAEmoP7sZ0iLpl0BZHFyDWfwbvtO4B3z733KJ/ao535tf9yK65fUvym1qVLPT5t6QhYK+mb+fUqymP3mUpa4jNHNoL7PbLDV391JjWxs9+uReuuOJibIVtAC0r3vFZbRxwyp+OBP4OaMgDrjuJTGYmdLO5whgCzirwaw8lMGmnSZBWgON8oMY26tWTkrUlzo+uCcDAgIWyncuvgLw/uzjT9O5I89TcwjCo+3UzdDYn6hu7AKz2G4pwFnt/4tzDiwMct95+P7asKLDzHY4rvzBsS5mpTSHNghiZ6DbCf0gxfdw3N/tImpZ/bmHs9XcBfw2PgI+AgspAh7MLqTWmJ+6eDA7P3H1ey0/Ah7Mlh8rv+YiiIALyuK0tGoWalm8dJEETi3slye+pTIoAYwqNiX2jGWBknYv+3AKEDFK3PAAsDOoPyhbRF0XJhSazeQSwRR0HaWadUJZbKDALKBsNlTtfGHF9Xm7AxzAQBLKZV3iwOwa9o5cyYlN9o0w6MCgHgoiNWAV6CBQFvsElMXAFsrZLu4bgOmIALYHuGnlQSxsC77JUAYFMPblV22lj773xqhKdjKeW155Dt3yknXGO5IlfDTbvyFXfVbIQQ032NRtPkMfSzEgwUtgPz6HShfly+xh+/U5ZIFH5vaPc+Z2UQUDzACSwMpAMrIjLqOpdJgQLBdrAbOoh6hmBcxqtaw5D44j4CwsDHQR1WxqfJSm+YUydvQQ/38AEiqafpy3Z/wjPpFVTf1lQ5pluFDRJF4BOdIKs4Iq1/IDOyGYIz6Qf0YxdslQeZsAzJZndVDL6rv2JereZGdwfUBV29rVzX+7TfI+V3+BnYFYGOh9disLEoGyWK5Vg7jGV7HljZ0kzCQBCxNWSTLAv/i7b5iHM9WWi7aso0/90ZsK1MCwNsE1KQrVhln2h0U/m+DkdYd2UWM2UMnOHDtEs9P8cIfbcedoC9320BHaeTy4F5eyONi8cTW95hWX0nmb14ZQlhWR3F0BRk+GnrOwdDDHCT1nzb3TOlmAWdw/UQBwRy1VpiuhFO6hJu7cfodZma8fhOHzX3nqa2Z5U5J9gTWcDfur+MrqqsSBWbMOb9cYJpcs3lb1o5rFeUA5+x+za4ylD76zUHBfdpXz1gTXjw1nNZjFciQB0wX7xu8fJH20i1bL6mUezhbvZX6pj4CPwMKOgAezC7t9alE7D2ZrEUW/j7lEwIPZuUTPb1tXEfjT//01+uw3HmLLzlZO9JXL7o6TQOKvVlZR4m8HQ7u40sgDnWWc7EWUgbKeC8zCdxRQticcRP5k92DBbjHEvTS9jy7P1EOiL6m+w8Ig78wwLbqM7PIhnM3zlVX7MYm/MJ1dQVks/gUrZqGalWISrvFgHn54Gs7aYBZQdQ2v28XqNwCO45zUBJYFAt1FwWmm9BoIG8B5UcsKlMVngJUy1r33vkfzFHIu2wKtkL35xevo3ddtptle9gRMcF+bHqdMIyeUSwbTtbONzTSeaWSlGTxRzYxpUwBlTXZ4obHh54LI3/3+v5nT9fiVv/79aHucG3wmBydyfrsjDGVlujGgCeKEYmdXz7DibpwtEAbHUjStpsCaWGI7XoZYT42O0NQIQyUuwwfd/V/A6Vw8TF3wtRRkjAukSdBlSHER31ajJC+uPg1cQEqsM6fWtDYuBmdF+W6dk52QK2d3EFex+VfN4silLBcAaFHaunsMrMVflCQDWJ0wTM5CwCwU91p1r8EsQFQPg12tksf2vfwZEgLqrPW/839/fk4t9+fveysBzlp5m1i1GiTi6w6BZwRmcTT4CTOgbdz3JIPZw9TU00vN/avZhzZF4zsfpZ3sPXvXM9O080QwJb0UoH3dKy+j668NFLuAsqJexX0P9wHAYXRfQFTzIIs/0wXT6PsUPIVqFvdbFA1lNYzV2wMCn1TK/Kv2/ISWTxyPVsmDs6gLZj844GNRMMt7K185W19wdnvLGfTT7Grj9VusCJjFOhrO9lq/gbRqVtsFAcxqOOtSy8o1C1ua37z2PPrw77x1TteH39hHwEfAR+B0RMCD2dMR9VN7TA9mT228/dEKI+DBrO8VSyICP370aXrDez5JrTzVEy8UEYYJpIVqdllvu1FcoczA9y5UYc7woALvN65hZRavB0CmVSg2mAWQFaWsBNgFZi9L72cou6++2qCEJya8Yp3mj66zhNrKMR3StA8UPxx3UcrqzTWcXd+b8/bVcFaDWahkAWWlACoO8cBfvGQFzsogEm0rfrEAoXaSGwCK7/zwEfrejx6N9lkKyN5y7Wa6+fIVQWxYIUsr1nP2IK47K90ynNhrKhFkqJ/iRFeAslJCgZqBzvhYMmTLctGefg2qWfa2rbb886dzYDaoR5aOslegFA1m8RksDWBhAMWsLgBno5NpOjTEU63DMj500lgSIK4n9uwts4panVkt9ItTeAYJjyqBowGUDaNtIKaVdUrOqq7ALAixnJM7CZa5Fs0TgpjzVa05F4BeTqcoBWXj9gFACyjb0buMX73mrxTcu7s4+Z9thSJgFiBKlLK9VoK/fgZYHby9gEsoZaGYrbbc8IaraNsbrw4eFvFLnFzMg5DwnpDk+xESceXALLx2gu8s5MhLDO6nppkJyCRpln1pxx9/LDCG5fKl/c10x2O5B4Sl7lmvZfXsa9niAOcHGAtYjAdVxqKA6wQwC+9dgFcoY8W2wAazODaWjbFyFnUvlphKYrebZ5ig9DGQvZrBrF0EzpoHU+p+qdcrBWZN3y7Xc7bYw5hqG3wet3u280zCazxUtQLSTjBA17BWg1lUBXD25ESKZ6DkJ7IUMIvvRLS3LhrO2mpZfX+dGJ2ioT3P0nf/7k/oZZefP49n7nftI+Aj4CNQ+wh4MFv7mC60PXowu9BaZOnVx4PZpdfmS+6MBcrKiS9bl1NbymdgDi2scO3uaSWBsK5AXbA5gLooMzwwlSQnGsy6oCzWh5UBXlLqEsq6En6pQBkPO4apQTb44iAHHpvwRUR29KgoFaGZFo99OYqAWQATKGZ1ETgrYNaGslgXUAGg44SVyCrIOM3Jb8KBPlTPmJIbTQllCgAPyWc5wc+zL+R8ZItZFtx0RT/dcvUaalh5hpkOPjt+0iTzoTXnBNXmKclTTe00ngXgcKsojcIU1CUsopoVtax4BwLMfuMHgZ1CpeU32Gf2NzgJGEqgEp4l47fLQFhsDPQ+AYuQ+MsGs8ePnKAD+48xnJ2hYy/syauGgLVyAJ6tdC1nG/uca2VVkAdl5SANMSCzDDB7ymwMdEBcqtm8ugK+llAC6+XKjiUHbasF6KV7a7VQNm7PAme7l/fS2nUrqW/l8rxVAWY7+frXD2WQCEzAlEkKyA/pBNrCyuA5vif85d//a+mTcayx9ey19GeslkUxUNbMKAgeHkAtqwtUsxGYRZvwirg9pDlRYFNqgtpO8sO+EMxmpvnBz4kjlFixkrJTk5Q+eoD9Z8fpTvaglaIB7X0P7DAe2Pc9uMMshr3BW157JZ3DPrSYKWIUtHxIXP/wgoXvrhTAWTzAscGs3LkAchFPPNgyMwC4jnGJwkQ1a6tldRwAZxsxs8Fx20TcEL9y7AoaE6US5IWtUsbDiaoaf542Ejhr715g7QvHJ1gFnjt3JLwDmNVWM5380AJlzwnuVw4ffSwb5odzU9z2ALOuh13T/F2QYhX0+PGDlJme9HB2ntrb79ZHwEdg/iKQ2VW98GH+auX3XMsING26opa78/vyEag4Ah7MVhwyv0G9RaD76nfnVdkFZuE92NKKLN+5jN32eXbwtFUoZnXBQFWmlwMQausCe3sNZusTyvIZlVDLGpAqcLUEnAUwAKBqUgNDHbPU2CQvCwaFrsEe4OzBgfMKfB+xPuDsmayk1SpZvW+ADrSdDWZlnQ6engwoi3E4pg+DMQNIfBU+svcG4BMwA0WgrO0he9OlffTuV51L2fFh5l1N1HjGeVEVhtMMM9q6aHo2gBqD04F/rKuI0gy+uFCboYhqFltADKfj81t//LmqLlEBswJlZSeAsyOstoK/rF0efGIvHTgQTDF+esczJY8bl4TLtWEhVK0U+sX7oZo+FWZRM48PigEXPGwASC8oMSCzXsBsQT2LgFlZNw5G69gYoOj2eS3ZQWJWqDWUlcPIdSOetL39fWYRIO3qNf107ma2G7EKVLNQDgIwAkAKmIX36nc56dc3wvtDpef6iT98C53PXs9SJJnWEKvPO1rYZkEBUKOa5eM18kMdUFKBsrJty/hxSqSngj7eyec0fIzNXoPrNLX3OfN3x9EZA2h3sM0BSil7AyQIe+OrLjd1lMsF9yF8/4nFCe5Fk/wdAGgryaf0XQ0xQhI1u0gCTEkyhn0CzDYOHs6pZUNQbbYNbXDSUylKLgtmGtgli3PnaxcP/krB2cWqmkVMXHB2NdsxrebfK//xwhD9bDc/KFSlvzNB+47ke8piMWwKkvwgQpdkaKvRyH1wiB86Yx1XGR0KHgIImDXvH73bua7/0EfAR8BHYCFGIL1n+0Kslq9TDSPQvOHiGu7N78pHoPIIeDBbecz8FnUUgV9h+4KfsI2BLtrOQD5v4QFHY+jdGQdnAWUBZ52FR6Qv3czT1Llov0F7XdgZ1AeUVcPpPF4Y74sZqWXVSRufWEcBMMiEUyyxTp5qlteHfUFqdIISnTmbAns3O47P0KGr3mQ+FhYstetvmqGzV6+gSVZmSbIcLeAVMGsUoWow2c/QBUAWKlHsE8AegMQk9lLAxVaYQV0mPrI3XbKMLl7dRhev6aDm1YFKNjMxSo0DG2myuZ2mmjvYRoF9VrneADsomOI7biXIwefDUKCFPoHLuW5GpceDYQBaqGYBQlA/+MGipPn99374aF5dy71ckQDsY+99c5joLH+rF3jQ/fyew7R3L2eB5/Lj/9ipW7ns5Fzlq2DdULUS1WxRtaxJ9pbfl53T9WOhrJy+A2YClhUrp9pfVtdFq2ad9XTBWWV3AC1nJVO6Q4I3F1A7r1A27AMAc3YxUJMLAK35u3YlreH3Z25cRcvbWwycFTAL4NjC+/jzv/06/bKKxF9vZ6X6W1mxbpcRvk/g2sY1jmNBoSuAthsWCsS+s9wmUMqiyEwA+LPiHrGcJxO0UQBeE9NjBtCmng2UsM0DnOCrp48e4e/H2x85TtuPBJYkLkB7/bYPRlX71esvp1999RXm3gjXH4QQ9RNAi6jhXouZBofZZ1qXODBrnzdAbRvvfMe3/pWuazvpvL/gIeDM+CQle7uiB3iyH/NdFLYfPqstnJWZIKWtPYrdBk7lMg1nBcri+PtOTtE//QJJFoMy0JOkAU5y9+DTOT9ffI7ZK2n+fsIsGPmdpOs/ORY8ZMXDbbuIWhafT48M0vTokFnlZZedR9/9+4+cyjD4Y/kI+Aj4CFQdAQ9mqw5d3WzowWzdNNWiragHs4u2af2JXX/zh+jh5wd5pjim1+WUHEj+1dmfU0I18wAXL11sOOtSy54YmTab4O/5a7vpgrVBkhkpAmjlL6Z8th98is4ef2EBNA5gC6oRD1orrWSeWlY2jlHNiloWqxUDs5imKqpZXZ+7np6ku56eoiuvuYiu4pddrm0/SW19A3Q4nUvkFnkK8xuAUBQNZgFlV3ICODN1H7CBB5pQv32doayUUp6Mt7xmK207m+0QGMQCYLVsOo+yiTY+Dg9Kuwei/RwZDxSYgKsALi4wq6Es1m3jPirTqk0yolC9lFJJbwBEAIj+leutQXK5bXn3p37P2BY8zXDp6eeDAfvX7n0kUqgV20+gOixhX+FQXLtgazxULU81WwrmaWhjn1MEaEtC2aiT58PKEmDW1K12l125TRusJ2A2VtXrAs1WMrNyVLNxtQrtD/JBaHyfKdWOlZ18bu2gDXKNUABmHeBeH+vMDavMPzeeMUCXncNe0VzO2bSafvuDlavV8UDk1j94c/CQRR0E96HgAdFsZKWCxQJou/h+ANAJMIuHN/IAB+sAlE6zjLa/vTlvRgGnGKS2Q09TsqvDHCl9cA81tLHiND1Djz6+i27fMcZK2gCmFrvXQUn8a6+5glB3CSMegDU0cFJFVviirOAp8MsY1O1m+CdWDKXAbFtz0BcAZb/0nQfpH/n1rrNb+JVvV4N1AGXxnZPoaCt4gCdqWd1mgIpNJSwLyrM0cPS6SHG/cGEt4CxtuMA82NPlL36U+z1y0fogcd5Te4dpNEzWZvqTgFljDZH/WwlQVpSyMvNI71/UsvhMg1n8+0OcCMwnA3P0J/+Rj4CPwIKLgAezC65Jal4hD2ZrHlK/wwoj4MFshQHzq9dHBG797N106/+6hzr6g0Fz4GcagFQUsTNwQVl9hkgYA1Cj1bIAsQJlZd3rzl1J/aw0iSuY3onyzJEx+tX0k7S+gcHd6SxmNF07OuRSy0anZ8FZrZaVdWw7g/TkNKUnA0Bgw1mBsrLte//rjXmRhFr22o6TNNa9jkaolSas6ZWtPPgfnWbggQiEPoQAslIAQzA1GLYFAmUBKaAku/aqAAIX2Ba8qJduumIlNZ1xLjW0tht/x+z0FGX6NzKUZcDCO4Q4FmNaWBZAMSsF05Q1mIXqbRjJdaykaAZqsJpXCvwZkRG+Qw20W6BoCiFBRdnhQ6jqUg7K8YotyzVAcXAaB1zz4WxxCwI3yA1AG/7Ls9KIsSgoBmajcymlfM3rdQI0tbrUfYGfFn9ZXRU9JdxVxTzw6jqfClWzzmPE9ZMAbAXeqnhXu3uUVMOGsuZ4lmK2rP7hOi8DdIMp9OWWj7NK/UL2l9VgFupTJNiSklbqT/kMSlp4fsr1ro+He4g8r1nXnXs4hXXw8KZ74jAlMnx/GjpBTX0rKcO+s+kj+/j9AH3h358r23/2PAa0//13edYCNxiebeIehXKcPUW7+KEa7rWwNIBFwTH2HwWgXR56lkp9AWPx8FK2xeePP3uAPvKZr0anZMNZUctiBRvM2mrZvK5fAs6WbWkQ17iVqMnL7SA1WG93tpNumz6bXn/BSlrBDyC1b7LYGWxa2U6doc3EAfaexUvKDD/IlPuWqGYBYwFl7aLhrFbLYj0bzOIzD2dr0MB+Fz4CPgLzHgEPZuc9xKf9AB7MnvYmWPIV8GB2yXeBxRcAgbI4MwGzcpZZqGczaYKdQfuyPufUOzsi3ezH1s3QFdmHJ9VgWa9XDMwCysp0+V8eCoDsixsP0ksaguRRp6fkK8bmWgenWlbt1CQCCyGZVsvKKrZqNjUyESX+0mDWhrLY3lbNQi3b3zxjwGw60R4puLAuAEAXg9CjoWK1m1WnAAOA7+LpePs3HzDWBVK0cgxA9v4HdkaJcbZd3E03X8Oei03NNMsgtmnj+dTQzj7E3MdmG1l929bLSracDg7wAtBV+8lCNQvIAisDWyVrtwvsDKQAzIL/YJAtcLZVWUeUpZoN/UCLeqxGjVSeWhWrx1kOFLMXkG1KJ+wK6iHwrOg+HVPUDcAtCc5KA9aCa8YAzRLbnU4bg6gd0T7FlH0KvMbB6bmoZoMOUrwOYRs57SXmcLNyQVlTHd1PyuofRSoRgtnSfYxMsj3YGJg68Evy+w1O5HsaZ3Ctq0PiPoH7CO5ZfQw6NewUtaysjnscXlLE0mX56J5I6Q0wOzuToqblAzTDHrTZiTH6wI9OFvWf1fYGH3rPm+iSLesMnEWBzQNA6xiDWCh8ZdbIUYazAMlYz4axOqIf+euv0uPPHcgLsoazopbFCvh+aO0NlJ4oLrWs3lEp5Wz1cDb3HTeHLlrzTe+bWUX/nl5t9nvtlsBuCQWAFi+A2R38u2TzykBFjaLBrKhl8yrGp+qCsrIO4Cx/JdLEaO5hOJalOfHXBCcAs4uHszVvdr9DHwEfgRpHwIPZGgd0Ae7Og9kF2ChLrEoezC6xBl/sp3vfgzvp1WxhIKV1GasYE/lKVgCdZEcn9QzkZ+HGNi5ggYHe6jXdNMEqoJmY5BYuMKuBLPaNDNb7OLOxlNMOZ0sk8iq3rxRVy8pODOthR0RWThmI6yhaNavBLFbF4PtDD07RzuOuJEw5OCtqWWwjYBaKVVHNAsoCCEwxAekJ/fCQBEyyjd/z7QfMFFqUYlN5Lx5I0kUrE3TTxT3U1L+amlasovRhVpyduTU4M0wlbkzSELWbpFmifpvi85/hZR1qSi28GAFeDnNmaz0d2RUjsTMAfJGEO1gPcNb4T1ogMhbOGobAcNMASoZknJysnFIJKCu0NigNRAFn80CrUcGqUhKoWmfhAIBlqSHLSOBVGK8QzBS5rk67WjastHlQUqwAvBaNwXyqZsPEbKp+5am1i59SHJTFVnr/ZfWP2EMFYD4vqVgMjBdPZ3P8sDnQvU+yml5f21iO610eHMnDG1wX8hmm/gPOQkGr1bJSTYGzOA4OdYynqU+zKncgEdyLl82cpOT0iHlvwOzkmInJE9RPX/zhs+w/GwA2zBq4985PRmd//Y0fjB5SQfX7zl+5iu0NApugDqPmJXOvxUEB+KDibR85QDNTU5Ru76VMR29BJG21rF5ha18TfeLypLEx0KV9IEjaVkwtK+vjO6iJ69aUzD3ksivRwDMRij+8cHSABaiW1VAWNd6wvJ028isvdkzJH9k/HKllsUyDWShjdVIv3Dsy8Pd1eKLr/aZ4xkuaH1Ya0M3fL3jFgVls5+Gso0/5j3wEfAQWTAQ8mF0wTTFvFfFgdt5C63dcZgQ8mC0zUH61hR8BG8qixm4wy0kseKC4bO16anFkiNZnioEeBpQDA53UytPIAWZdgPZtVwaWCSg2kJXPj7N65ISVDOW0wtkagdlSalkdzwxDyriiVbNTgzmrh8eHsvThR/KTyNj7WLtugN7yG68mUctiuYBZvIfvIaBsBw9Ck6yQxZgSgAJwA1D2zm89YPwMpdgqWUnsheVQyQLIGrkqx7B5wxZqbO+kscQySjUlaWo2gJyPn0gV2BEAzg8z4O9Rylesm2ZIAiWZZHgvdrVBNStqWVlPlLPLQqsDnYAusjQw9Gc2DzhEoLBc5WwppWNBxbUysgiYDQGsqWGl8LVYsLDMqnNZ4K0iGwNVgYBzu8tCUMtKzUIwHx86uTqKBHeeVLOxqlZDFUsA5bjQW56y9mrywKEYvM3fJqahszzlO8+7NqhvYJnSlGdzgER7gLMoGfjIsrAe1/UYK+yhONVFwKxW1OMz2zAB6lnc1rW9iewHfrOtfP87zlD2GCtykRxMLFzgD4t7RufkcWo68gK1UIqaV4Z1O3aIvvDDZ+iOHbl78r13fDKydbnvgSDxIRIgokABfOMbr+KHRDmlbHZqjKYbkpThGPSkTlD2xCGaHTxs4Ox0/5l5gNallrXb6+MXNtAFytI9ArNmFoHbRgJAdpaBItq6EdDYvGKSeWIdhrPll+r7ZvnHqGxNG8piaxeY3XVsnPYNTdImpZgd4T7yNPvMohTYGIR9c4a/y+PgbJa/z/CaHgv2ISXLM0kmB4+oT4J+LhD8O3/3YXr5FRdWdqJ+bR8BHwEfgVMQAQ9mT0GQT/Nun+3sAAAgAElEQVQhPJg9zQ3gD08ezPpOsGgi0H7xb/BgYIZfOfiXaO+mlo7cCG6WB86Z1CQ1J9uoY8UaSkBlWATOQi2LcV5PTystW9YaxUoD2v6uJF133spYICsbQS0LMGcX+M2+o/GXp74d5ugzO8skwSiUwr95J+AYGxtv2anAkw6DYoBYu0A1iwF0ajRQFt+zK01f4lc55Q0vPY/++PozolU1mG1gWtEetXOgkM1yJvOdz+w3UHYHexqiFFPJ3nRpH93yqvNMspzseKAumx0fpqnVW2iiZ5359xTHgsejNMJZ0Z9gP2GA1qRKLGdU04OT1N3WnAdnx3lq8jhPTcb6Xa2JooAWqlnYH6D5gvMITlknB8O/Bc7+7Re/Q8/sPhxM/Q9hfACi8E+roSQ5VLGAVwxnRZ1rIhbsWaBSrSFsTL0jRWRZ09SrsDEIT80AuBg16kJRy0qISqpmS15086CaLaN9KlXPBp6vxU8mArMOL9doy+hBlt5ZDsgF11f+gXKqdCQ5DCEgr3POplX0UZ7+j0R7upzk+yP8ZVEASwFo5e8JViDaCb7s0zrK/uetfG+Vor1EkfQpaSV+Wh/6osN2QLxq4WfbnR6mHn6hwNYgvedZA5Xf//3jsfYG2nd7K6tnb/5PV9OLzuH7YjZNjdPjZl/TDS3UnJmm5ln+nt7P+2RlrhRA2gf2peijX364ZM/DCr/Bz0LffkYA9pK9XSZJZDaT//2KNpnleALISpGZGUXBbLhy2crZBaaWhZ8sfGVdRdsZDDGAfWTPSZrm79x27hur+DdOZ/hw78Gnj0dJv7Af4y1r3dsmxvKtCrAe7nOZ0JPDBrMpToo5g+9Ox30/y/0Ev8+mn/h6We3vV/IR8BHwETiVEfBg9lRG+/Qcy4PZ0xN3f9RcBDyY9b1hUUTgtb/1Mfrxw0+Yc9FwVoPZbDrFY8RAeZns6mWf2WD6YxychVJWq282bFhWECsA2iRDsq3rGP6WmB5sg1kZk2NwvTo7TNc2HaKNTbmB6rw3TAVg1sQhrLBWHGYh8yoBPYLBWuCzmp1JG/CKAsBiA1oDa/k4ALOVQFmJ1b/9X+dR07IVJgEXwGwj21gkG/h4DBWyLeEUTqjT+HX7Nx+kuxjKomCKrknwFZfc65JldNPl/dS07qwgi3lYhhs7aG+qhQY6ggQ7AmYBZQFnUQBhdfnl4aCNNZwVMCvr2YAWHrTRMo4RwKwr6Y/2oMX6P7jvMbqXX6YAevHAt2QJVYnG8zVGoVgRHDOwjetvMjqVPPr8rBDC5PLUsoh15RWNkuPIfHF1JoESc35Ordq9zh3M4sihsjPqJxUqWqtRM+OoLvWs9LOgszvgj1Y1WvXUXgIS0LwZBcUbr5z2NXYh6no6d9NqetOrL6NzNwVT/1E0mJXPJmB/wvfEYb6fwKpAiq2YBZSFjUGPlVwL64+wSh/3mF6+T21Zmbt/rWT1vXl4FD4kA5SVM01mpwycbc1OU+qpX/B9e8Z40P7iyX10xxPjEaDVD7Ns9exNb7yabnnNhdTA0E3uQQ3TfP9rDu6XmeeCe9PE/sM0MzpOb7mv+MwIu68LnEUCsOaOVvU9E9znNJDFv6GC1f2+ud2dsFMnujI7Qj8NY1RocbBw1LLPpzvo82ObDWQNq10g4BcwK1AW6wHM4vcOylmrOg2cfYoVs4MnpwxodUFZrOtSzWbYOki4azrFCeZSOXg7NXycMuxljOSYugiUxWdQzP7gi5+wm9r/20fAR8BH4LRGwIPZ0xr+U3JwD2ZPSZj9QYpEwINZ3z3qPgKf+NyX6ROf/3LeeRh1ZnqaBMxqKIsVNZjFv5t40NXakfOcEwsDvVNbNSvLhll1sjpU07bxgAiDZwyM8F4XSfyF8Y89zJ/mwQwG2u9OPnsK4awLXuRqHClhi6gaywGz9vRgDWflaBrSZqZSdNcz02UrZXWMb7qkh25iiIpyZKaPVl8TJtZhGDDb2k1ZBgLbf7mPoewDtP2ZQpWsndwLib22nRtmNWdQ2XTGlgjMHm1aRqPZZhqCNQGrcXt4MJvixgVE+RmrkKTYqlkBs1i+khVrUNTaYDbFgAUK2k5WdOeUvrkz7eLjQRGLvtbMkFaKgNk8IKsChMR3FRexOcCGApbiVLOl4Nhcp79XXPncBuhj5YHZMuC1XQ9tU+CwCVhoallT/ZJ2BtUGW0FP01+Kw9oIspahls2vEe6ixe9hxc/AAWqdqtgScdBtX2zVGDX6m66/zABalGPsMy0FQFa8saGiHWUwCysCgbMazAqUxbY2mAWUxbZ4bphgCNvJ9w6Bs/Ce7eX7VoKvDTysEs9afRoAtCsObKdsiu0N2EtbkoMBzt75RDCzodiDrUvOWkU3v+4SumTzAJO8aWpIsXo2GTwkm3pqOw3/IrBA+PKhJvrnw5XYBwS1BJy98bx2amLImuXp9TaMlXMRCwN9bi7VLK5VuV4bOV4FRR5c8W+GoO861qn20pnDdt+fGqAf8AsF3znaDkM/KxI7AyhlAWdR8IA5rR7+Ac4Os+3S7oOBfYWtlNXV1KpZsTCQ5RrMZrjtp4ZPBIuUtYhJyGrZKv3Je95BH/m9d84hGn5THwEfAR+B2kbAg9naxnMh7s2D2YXYKkurTh7MLq32XnRn64KycpKAMFC5AM6KUlaW2WAWn2s4KxYGOmAuMDvOA14kaoHCpCucAqi3ETiLgRIGz3EJRQTMYtvrEofoFYnDp6atHD6zBsgWm9KrapaNSYYWtYEagMlnLjArywDP/vsDEwRf2WrLvbdsMJueYDa68pqraJYTzEClNZtopS9+/wmGsj83y4vZFiAD+A3ntFL7+RdRQyJBmaFjPO12nBr7WYW7fBUBymJaLpSsALMogLNo7xM82IViVhetmtVgFuusX96WB2Y1pG3lfpPgPtxtedJiirIeeAuk7eKEZj/9j505lawVRKOYnYt9gFLTGtCpQVZZ+z3dIMOahl7QyaqzMbDBq1blLUgoG553bVSzxa7UMtq7EjUzDlVVYrZq7yYltisXymI3RWxCoJ59wysvpe7+YBaHAFk5OtT38KFGETgrYFZDWXMfUopZgbL4XMAs3gucBZjtY+sUPNtJO67fEVbZInEhHjZdkBynvtQgpY8fpgy/UJ7k5GBf+PfnaMfRACgXU8/e/NqL6d0vZt/aJoavDGazJw7Tj//31+nc9e305FgDfezZ+GRcpVoPfrN/elV+Uit7G51cUi/TqtnAmid3j3CCWbWxSWxllLSBNUyphxClzqPa5RrKYh+YUYHvDbvg9o3kX1DH7jqeS0Rqg1lsl+QOMzTMybtK+DqLataGstgHbKVm+HsTJQ/M8r/xkBBQNq54OFttb/Db+Qj4CMxHBDyYnY+oLqx9ejC7sNpjKdbGg9ml2OqL5JzvZ+uC17GFQanSmGjJy7qN9eEvC59ZuwDOJjlJikzrs5drOwOBsrKOqGbtbcQHdJL9RTH93ExDt2wPNJjF9rWFsxhoxqjWFJitBMiijvYg1j7vYol0XHB252CGPvxwoWddqfa1l4tq9v47fkav/PDNBsw+tmeIbvvednrs+aNm9WLJvd61JUnvOov7DLdV1zUvj3afGTxKU83tdHzggugzQFltM9DJYPY59pAVGwNZUatmbTALxWwHAxIAFqhkdQFwFa9YwFkZbLegn1pqrkcffpIeeYjtPIoAUu0zW2lcXetXB/bKgHW1qFyemrKUj4BcH6XWK6yYaxq7ePgGVah8nzU5/XJ2Mm+qWTl4mW2N8JcTpoUEZVFl26O5WMxL+Dejz7zkxVvNSxdRy+rPAGdx/R8J7Qv0MoBZWBog2aQueJCj1fWAs1tXd9OarpZIKSsgFtsdCLfHvlZ1ttCGZW3UlmF/7INPUhvbGzSvXMP+s+wZuvdZuuPxcbpjZ/Awqqh6dkMv3fLKLXTRQCvte2gH/fRfHqBXXbeRoWwzw9m5KU8v7G2kd25O0Na+QtWtbWGg4yKqWdf3Ge5vcfe4HJSNafRq7T3KuW7VOjaUxaI4MItlxqLJOoYTzPLDP8D6NM/mkZIJH8SamTJhwWcpfnAwFapv7eqLz2xkY8ArNLW0hcA3V5MsLA6ifYag//feQR/6L2+tMCJ+dR8BHwEfgdpHYGb/k7Xfqd/jgopAYt35C6o+vjJLLwIezC69Nl8UZ1wulJWTReKVxuac12ccmG1kaNrJib4wppoJvVChBJEiqlkbymK5SzWrkzPN8GBGVE82oLXBLPa3sXGM3t367Nzay6GIzal7eNcAR5wwpVyFrK6MnvJpV7JUdnMbzN7z/AzhVasCOLtx51M0cNEWeqh7JX3xvl1m18WgwY0XtNMtrziHp8KmKTPCcluOTfsFF1OqrddsezydoBOZBEGtKrDUBrO7Gcru4QzXq7kP2UXgLJJ/2UngJliZZicCwvYazOLfUOTC2gCQRSf2AZTFC6VYW85ZMetooAhCVtJ482VpUM1U9ErqXdDRY8BrCDwrAndzqUe12847mOWKlWrrCLYW86sVy4Jy6G21wahsu2raNkoAFnsdNdD69SvpJddspTP4Lwoe6E0qOIbPoKo/yQ+F8P2ChzUAcVLw0AbWBXZJNBf6UgPOXsDT1vHsQECs3g5QFrYqF63qMlYtKDjm8vRJWpEZZij7DM1O8UyCgY30i2cO0W0/2087TwQPl4p6z162nM4dPEy7H3uBVl9+5pzUsvZ5fuLyZB6cdVkY2NtANeuy5YkFs/wDAbC34lJj24PPj22i59OFSb5cYBZWBWg7lGZLTavBLL5bOritMRMI6+NvqWdLI5zYdJKtD1wPtKGYneE+IjYGgLLmobhJyhd/PeM3RFOylb7xl39AL7n4rIpD7TfwEfAR8BGoZQRmDjxdy935fS3ACCTWnrsAa+WrtJQi4MHsUmrtRXSuOtlXuael4awNZgFk8ULpYmWQLqIOAajt6kwaL1qAVLtoMIvxBgY0dsEg2y6SxMn298M+NjSO0itbDtOZVSUFK+2/GGStrs42IM5fNpPijNucBVsGrnEDWIGztYayEt+PNh2k7ww1MZgNfPeKqWRvPL+dtl3YQYktl1BjR4dJVpNpbqWpriAxzxCDjpNTubYDFEV7iY2BAFmsO8brjjE4AfQAoJUs11gGSwMNZqe4PxxiUAtBcwur4FoZvNqDZtgZ6AIQ04YpyO0tBsYKkJV1YsFsucm/yr2g1HqVw9kylZTOuoTXVd6g/vQAu2JwDjFZ0GrZMLbVqZ4r6CTFwGxJBWz1SuYKaljxquUk+3LutIhq1k6o95JrLjTqWbExAIyFOh8P+FBG1f1IjoUHPvieMopavke1qmRhNpgdZJCG14YV7bSxv6OgugJlsUDALO558rW2guHsssHd1LQqsI5pSE/R2H/8iO765RTd/WygeCz2IGzF5Bi9JXWQfrL2rDmrZe3KQzmLF0qchQG+o7L8UNKsk2zh9RxWCtz9Gm1LgGqhbGDqXHFfc22AJF+fG90UazOA3xToAygayMq+7O8YAFUkAMPsDfQbs10IZuV9HEOdZGU1VLMAsyjiz68TgKXGRwyYjaBssGJoS1J4hka9zLY7zW0d9LJLz6Gv/X+/V5O4+Z34CPgI+AhUGwEPZquNXP1s58Fs/bTVYq2pB7OLtWUX8Xm5oGwTKzCgwmhsThjFIPzMsmE2YLyXEiSZaomsDDSQNQM0hmDtDF/jCpZ3cmZrlEANGwAhUaLAzkCrZO39aNVsqSbCrmX/v9X2XOVw1qmWzR1VVK0GLpWSxDgqa4NZo6DlgW5mOsWZmAsVWwJoG1hphPcAs/c8V1ulbFxM773jk3TtVReZxUjwdetn7jLvbzi3lbZd1s/tzvWZGKPEOS+ixi5OHpadoZmWLpphtawNZeUYgCTPs08fFLK6QGE2qJL4aEBrvIZ5IAuAMsQD2ZPhYBbby4MBwFm8pNhgVj4/uusF2vFo4RP8OLXyfKhl8068UvVlKSUldp7Xh08PfI29TuNsChYmS4w9jcqheqk7l7XcqAQtIFUSyFZ4jFO4etVQNqyjSzUbJUCzzmP9upW0+YKzqXtFoNqXgu+YiVTugRq+V0YmOfEVwKl60AbI1sMWKAC0ALMnx4NZCQCyulx7Xn/evzWUxYKXbQyOrx82jjPIG2icorUJ3tdsJgSz95s6QDV797PTBHsalGLq2flqOgNnzwp+D0iZ5XuzwNjoQ4aYzW1Jam4N7GtseGr7zOL7q5TvasE5lZEEr9w4fH9yJcG+AKVYPZCA1AVlsZ0LzGKKiEBZaWv5XSP/tn8mpGDlE6qzp/m9nl0kgHZmeorGjx3g311J/o6z4Dc8z60iUBYft3SyeTCXD2x7Lf3xTa8tN0R+PR8BHwEfgZpHwIPZmod0we3Qg9kF1yRLrkIezC65Jq/vE9bJvpLdQaKUZPfy6KSyDGHtDL+yMBOCWsDZjuX9EQjTEWnhKXxJToZiF3jCQjnTyIPbFh6YtTiyNQfTSoOkG8WyGLtUs65WMcldFIuCchav8kpx2GrDu8B7tLw9y1o68ZexQwiBABSzLjBr7/1LuzP0j7urU+uWW9NiQABQ9oZz2yixcjUlBlabpDaNy9cEYJYLEnw9MZQDzMiSjgIggfLUgREaZ9VaDyuotTINywBmAWh1EUALNe1BVslCLatLkOA7AFgaztp2BruefJZ2PflcABzCxEl6Py4wW2tv2dj4VwRnbdWs7rMVdsZyO0Qt10N1w4uGnSjz2eNC95bN63jFAc+cQ2aD2SUMZU0sHapZFxCU6xjfV+ds3ULnsC2LFA1m8ZBHvlNM0krHTI0Epqezgn/YYXGAfWrVbLDv3L0JFgZQzIpaFnBW7oHY9sq2UQNlAWdT4/wQ9MQhSq7fSPDk/sIPn6HbH2NbGC7F1LNz7mMxO7igp4FuvbiId214/2xiKAswG7QPX81K2drA3+ny78qhbO1UsqiahrJBVd0KXGMDYM7DHRgbzKJNW/g8dUJJrZiVvWhbAw1lsXyG+0zaMSMId/KRo/y7xfXw17Iz0FAWDzASrJiV4uHsfF0lfr8+Aj4C5UTAg9lyolTf63gwW9/ttxhq78HsYmjFJXIO8JX9tfd9hqcdtjsTdyEMxcBsEys28GO/KdFMzeE0Pzt0UMtCFStFgGw4XmMwCz+/xlgwC1DTzANpFPGRNe9Vsq9yVbOuJB1lw9miallME8wHX5WqZnWiFChf9aCrFJh9/OQsA9kM4e98ljjrgm1bu+jGS/spyz6yOA8Bs2NtK2gs0U3js4GX4tPHx2mMB5quwS2ynT91YDRQR/MLYFYDWrEz0Oc3xdugpDjBVxOvb8N7DWaxHhL1GECrPG0FymK5VoLZ06Dz7Azm0cLA2X4VwVlzZeFs5rMrnPp91xOYRQtYyQhrGzAF4Jc6lA0Da6tmC65fM807uCZk2fKB5QbQruC/UMvi3oP7EJKDSYFa1rbPSPODpDSvj3t8e3f8bBDA2fXL2wv8rwFmtw50UQaJoCwoi+N20Axt6WSLhdCLu3Mw8PMGmM0MHaXthybptkcGacex4P5nPyy7ftsHa9vdrL0Bzr59QwNduKyQUkps88CstFGonhWf2ZLJvgrOYn6hrOkb1peTbntc0mKTZFcNAFa21QC2jX8XCZx1gVnsB58jIRgsDHRB35tm1XZeCR82TnNisGya+yp7zeJvVCwwm83ktrfBLLbxcHZeLxW/cx8BH4EiEfBgdvF3Dw9mF38bL/Qz9GB2obeQr5+JwM+f3EPv+NjtEVCcmca0uUK1pQvMAsg2teSSMWHKeBMrX11F+8tqKIt1oZaVwQzUR7poWwMoHO0BkwyQoKjFfstRzbrALI65qXmMfrP1uSI9o5hathDKyo4qgbNYF0DW5U9bDMyeapUszk1bFwDK3nz5CkqctZUyo8Pm1EcaO2iqf5N5bzwcQ2j90IFgOdrShrNQy2LqsIBZ3RgCaU/yYBQD2DR7GU7ZA1beAA8AmpUHJPikS2kNODu4e7dRyepie8lq1V3e9F1MF63CqmKut55yYB/60bxPpZ/riVSxfTWJoao4TM02Kaetqj9YnXk7OE50rvYFBbu0VLMazBZc1+GDPtmHgbObznQm+MrwvUYXA2Xhh27sPPkhFHtTJ6zvLlkfU9LPO6OHHzCFytFwAdSynXwPmuQZANPqO/fA8BThtYytEtYy8N3S10697KHdMjlkXgbMDh7hWQir+O9xuu2BQ3TnkxNmr7Z69vobP0j3Pbij+i5WxpYfv6gxD87qmLvAbHjzNw8t8DC3wfaajT1mbYEsDvMDti6AWtZ+fCW/M+K8rCVJpV1VAbMu+CpwNg7M4jtvjNtd2xbI/sVnNohd7oHPDPctSQxWAGhDO4Os9T0Ff9lGfpCOkmht5e/LBP9N0K57/qSM1var+Aj4CPgI1DYCHszWNp4LcW8ezC7EVlladfJgdmm1d92eLaAs4Kz5vR9Ssigpl4K0AmYBY1E0kJWTb04waHMoxMRf1gaysl2TUtlq1SwGRdp7DxBWTwl0Bd0Iovg/TIGOm26o/d0M2lAKmI2NY/SKxCHa6EoKZiCcW4EYmxgqrGQ5icCwjlFmWRBAzjMOzJ5qKKuB7EX9Cdp2QTtdupUTprSEfaNvJU01JuloSz81h9NXBcyOst0AFLNSNJwVtawsQ0ZrV8G0TkzvLFbQ1zQoEZ9ZvQ28ZI/u2l2wG2dbhueR8w8GlJlfu4jY8yulnFWq0vkFg6f+tld3YNaoA+cnTrgdyf1rfo4wv3utOZQNqyuq2eiBirGuKbxv22pabN7R10sDm8+kTv4rxfaXBWgVGBY8dAvWdMFZrIsXvuMAZtev7IgA7daBTuNJCigLEIsif/F+ZajCPX9FB8EPG3C2Z2aYGp57lBraO6mJwWzq2ccpOzZMO8eTdPtDRyP1bJz393y1KJSzb9/QWOAlGwtmuSJZhtuJztY8MBvv7VpbKLuLk3zdOz1Au9Kdqp2Dt/j94HCtyAtdnGoWv08gtNa/MfSGnQzwbTCLdWV9WGagP+F3wAzPABFIG9kZKCiL/eIBQcZKmBoBWraYynKyTf3wsLG5hVq7ujnmbBvVGiRjxXcEvh+vOm8D3f2RG+eri/j9+gj4CPgIOCPgwezi7xgezC7+Nl7oZ+jB7EJvIV8/+qsv30d/9c/350XCHhgJpM2kkQAllzjJFb5E0u0519ndSs2sDHINusAt7CQgopqVLNn6WAC3pUoBeMXgI1RnSuIvc9wimZzfnXy2EM46QFxgPRAAumIQrJRqFipZDFSR0Rpg0JXJ2gVmTyeUvZGB7Lbz2825N69aT82rz6DMiSPUxGD2CEPZaYazKAlWpmG67hSDVkBZwFldRM0qallZ5lLNjo9MGaUaYp3QqtiYTgE4i/1rO4M4ICu7iIXs6EO8UtDmhUnYSvXLmi4vBmet6f6nFM4CUs0TiDTqxNOgUJ5Tu5WC6NXu3G7jeQTA1Vax2HbzBWXDG7GxKcArLmFfcL+O/y4BnB04K1D7C5iNVLLqxGaV3YG514XKWQGysqp++CiA9vIzltFR9szWMFbWx/dcL3tso/Szcra/PVDbAtCuH99DraFvK8BsA6sem1esoumnt9MdT0xE6tlTnRjs7Rsb6R0b838jxIHZYFYI+7WyUhMJK/PuUdqH1nxRczuF95QG46s8twIo+3fjm2N3Iqy92L0mDsyaR7chqHc9wgW4xewe8Um3Aa5J9KnucfL7a3I0RdMM+O17uQvM4sTg6Z+anGQwW3gzbkm2GF9/cw1Yv7/+4K0voz9868vnFmC/tY+Aj4CPQAUR8GC2gmDV6aoezNZpwy2ianswu4gaczGeigvKynnaABWDgRYGXFBvIEOwmcJpFYyXbH9ZbIPS1hlkZXaBWW1jILvElHWoVlwMphzVrJ3cS1c14Bfxalq97nWsnH1FQpKC5dsY6AE/wKwZUGH6OEZsOFfAQEs97IKzAmTluACzeBkVixmw5gaiM5OcgE1NeZ1vKFtsYL/t0hV009ZAbZSdGIvALP493NRFh2Y7qD0Epxgawh8YiW3ExsDuP0jcBW9Zu2jV7BRbGKD/6QLLgmIJ4bAuFNsJPBjgmJaCsli/pPr5NFkYFF507iQ1BarS+YKDqkIRaJvHY9WbWja6n86Dz2xcLBa6fcW8AtlcwIP7Jm72RUB+MTCLXYl6tr2nhxX66cLvvdDGwL4u8aDRTtakway5Z/J9fBk/sFzZ10YdDNHsAhsDnQgTqlkpfbwMJZmdps4TuynZFCBAgFkUeM5+4N8Du5hTbW0Av9lbL8mdjwvMZqZmzD22EfdutjJAKYCzBRGxPgjhbfA9yzC4TOn4vWxdAKVsXEEktVq2GJy17QwE6DJ3LVoAY023dKxng1nsKLBFnmXQyupr/p7MqJkk+E02Yz3oNIlW2xJhn4UPMj/0Vb8bmk0uAIl74e8yD2dLdT6/3EfAR6CWEfBgtpbRXJj78mB2YbbLUqqVB7NLqbXr7FzFVzau2jZABfwC3BIABjBrA1ptYyBAFgMEo8iI1BlWVmaHWhYMo4kH1TiWa1A0FzArUBbgFvspIpiNQhPBWVbLRvXRg32TACoYGAuc1XE1A0c5f5xTOECygaxsgwFrhgdSUjBgxQtFg9mPPJae1yRfcQm+3rUlSTfwKzGwmlpWrTH1yk6yCnbFZhpr7TP/PjaRouMMUVHaeQrvch4kok9Ncb958tgYDfMy2BagDE8E53ri5BRlODZtvK4G/KKadUFZiVETx1cnlnP165MH99OJvYFlR6kSC2ZDxXQpcFtq/7Vc7gJxTmg3D8A0dz3kzmg+waAHs2Gcy1AOz2c7VNx/Q3uZU5mHLoB1RQhZzINC17n1rT+DetetL1ikbQyw0ChqGZqZxIctgVI/ukcpux5AMgA1UfMDzGpAq9Wysr2oZgEDu3l9zD44Opai1V1J6p6doo7JYzS782fU2GT2cqIAACAASURBVNFlXrOcDOq/fXMfbT+SMruIu59X3JZlbAA4+3ZWzuIvvrsSncGUefs7rynJ3wtqBkw1cDZ6EGq3dfTvXBuUgrKmjjlnirwzdf8Wyc260dvhiHHPYmQ9AaWu61RDVANlw98Xxhsftgfc9hrQIgEYigBZqTgeJojlRmoyFcFZAbOu2Uqy7d1/ciNddf6GMlrbr+Ij4CPgIzC3CHgwO7f41cPWHszWQyst7jp6MLu427euz+4/f/rLxlfW+JaZJCaFfp0CZ2XKuFFwWqMNDWgBZqHSkAGCBAjeZRr0auWsVsvqqYE6s7HsJ5oWyCMV+PKVKnaCLzNYMrAXg69gb6XsDOQYZzWP041NT7oPqcAsVnDBWdkQMTQ+sjyNs1hJTwWD6SiGIZwFmN15IkOAsvNZYqHsOa0GyiKIrZu3UFNnF2V7BmgwuYKG2Q8P0ACvCe5Pe0LPRKnnQQavO/YNR1M4df0x0DTJTVT/auYHAYC0SCY3hmmcllLWPv9icHZw/14a2r+v7JA5wavKer/QAGGeMrsYtKsRnC2mepw324QyYGTZDXyKV6w1JC27/9WovasN1ylRx8ZULvKXNYDOAWgrALOYPt/a3W3gbBv/jb6TFI0TKGu+A8LvF5OEMHyoJopZgbJYz05SKIB2LatotVpWjgc4u6m33dxfh3laOwrAbBsfB6Vj6gR1Tg2a9zP7n2c4O0m37xylO7aPmM/sGRDXb/tgtU1b1nZQzl60otmAWdeDSBvMYqdlw9lwVopUpJT6+d7UagKYLVbioKzexga0+L5zbeeCs1qNaytj9T1CwGywTu7oAmZ1fWCZgd9xmBFil2lWJusC5SxeAmbt2Ur4DsVn+AvI+4vP/tey2tmv5CPgI+AjMJcIzBx8Zi6b+23rIAKJNVvqoJa+ios5Ah7MLubWreNzA5R9+Nn9BWeAgeUk+91pSIvBgkwV18pXe2MMDJKcmMQucdtgvyYRGFS4UM1aapdS4LUcoKrtDATKSv3yPGgdx8d6kmRMpiue0TBCL2s4QPibN1ALk3Xkf5ZT0bq6ihlwZRiGx0yzhZesDV8AvO55Ps2v/MFWLbtiMeuCm65eSze/Ygs1cDKRzMhJNj48gxrWnkUnpxgSMJSVInD2qTDBF4DswRDSHmd/2Gn4w1rtHYFZw1DyIQoGqZgWXEoRi+PbvrOVAlk5hzwwq4BsbrnLPbCWLVH5viIgGgcwawXpSgBSD2YdbVer2POuK4Wd89YeRbpopXWsvLeX3iL/vAN7mTxAWyGYlSP2rlsXqGdDJaMGstH9Qd3XBc4CeGEbPQ3dBrPYHrMGutj6p50fSmmLAySNgjXMpet6aFpNZddgFtsDzrYP7aX0gd3UuCpQPD729H5Wz+4170+1tcE7z0rQDfxAD/7pdmluDzzI7VIKzopKNm+7Iu35D1Nn0/Nhki+xBbCPWQ6UtbdBP49PVhb0Nv0sWx/DZVmA/WN/4mns+nmg+4/UZ4pnqDQ6/JJtMIv1ja0B958kxx4PzeGJjCKznPAen2OW0++8/mp+XeNsI/+hj4CPgI9ArSKQOrq7Vrvy+1mgEWhZuXGB1sxXa6lEwIPZpdLSdXSen//2z+hvv/3zkjXGYBOwFd5lALNSXHDMKIB4xIFl9nKXylb2lQyTMtmVwfgZVgalioDTYusJgLVtC+yEGwJubRjr2vcNjU/lwVkD8RycrphyVvYbB2jFZ1Yf/55dafoSv+arxKlkt13YQdvYS7ahs4cSmy9iuTEnIJll5U3PGppsSNKR8cI6YTD6yP4Ro+wSKIt6HzgxYapvD2ahlo0GnJYqG9M0Me0XfQnq2VJ+smY9HlSePLivIpWsjmvQpvBRdgPYshWL89VYrv2G8C+vbiHjLgYPKq1isXOvtTI0v02Kw3AAJ7u8/KqtZZ2e3va+B3eU3Ob+B3YWrFN0u1qB2SpUw6cUzFZRv5LBrnIF93mjIcLvljLBbHDt5D8sgnp21Tnn8fcj+4FrQ1LcMRw0LfC4hkd7vjc77mWwM0DBfjJ8n8P2mC3QyYm/AGd1aWZgtm5ZG124uiv62AazSLLYPnKIemRbPEg7+AKlD++jD/zopPGfRTmV1gbv3JwgvHSBwhWJv+JKE8eroMh1FGNRYatmX8h00j9MBSodmSWTd08J+6vtK1tll3NuJnDWdQy7P+gdYJkLzNqqWZn1ZB5Wq99NWA9WBq7SZIBscx6MlfXQ37UfsoeztewNfl8+Aj4Crgh4MLv4+4UHs4u/jRf6GXowu9BbaInVDypZqGXLLVBbYJpckNE+GJja4FWgrOwT0990sW0MsMwoZRmcJXjwKeqQvG1CNW2peparmnUl+ioAs3x6ovQsB2K9tGE/vazxgKmiTsZl17kcOBvsI5O3HxvMni4oe+P57fTu6zZRdmqCZtlHtuXilwWnyIP98fZ+OpwK2nuMIf5YOAgM3meMbQGm42qALmAW2+g4j7GqNipKNYv+NR160MpywNli6tnhQ/tp5HDQNtWWWZPcqzDBXdDgbvhS7bFquh1iFyaVKacfV3PsUwlmX35lAFYBTgV4aYh67VWFMLaac6r1Nvc9kIO7AmzvfygHc+9/sBDsllOHah4IzCcs13VeCCpZXZ94IB2qZxnQlnONwMbALtIXV2w6h1rYz7UgDtYG5sESvrD4fwkkvFLZoWD/A5UsoKwUgFl8T7bzLBQNZ7v4+1VmkwDO9vC/NZhNAcaFoPjM7AlzD2vI8CwYhrLpI/tMQrQ7do7RHY+Pm0OdSjh7YW8j/c8rWqNzLAVmzawa9VAYsStlV2CSboa/VX7I1gU/nFkdHc8FZmWhgeLzOAkCzxotfm8OnXU81JV+gmvdZV0QqGlzlcUsJykazrrALOwO8IAA358t/H7GoWLGMvva+bv3vo0uP3tdObcov46PgI+Aj0DFEfBgtuKQ1d0GHszWXZMtugp7MLvomrS+TyjOwsB1VgJlcz/4Q+sB5RdrQ1msq1WzLhsDgbJYN6k80bTqyOUvGxf5UqpZmbYY+Nrm9qL9Z4NkY7mFALTlDNgNnOVXKVhSNpxV9gYazH74kRQ9PhQDCWvQJe+945MkgOv6Gz9IApJuOK+NtjGYbdl4FjW2d9LMgRcoseVSmmpI8KuFnhpvpoOj084aHGLQeji0LwCcxWuaB4HHR/LXR5wjGwO9p7A9RC1rH8RYFrQUApM5Q1n4BQfZVviQMSP1hQxmEahaqTNdLVtjGwOAVw1aNYitQdde8LvQKlvA2gjiOsBt1eBzPvsDrhJzvSy8UJdUCjc0hbA0Xw1bcK+xwGwAZcWjnO9tDGaXn5nzTtOKWQA0gWh2fQTOJlk12qBALY4vYBbvNZzt7WjJqx7g7Ln9Heb7S4CsrLBsdoL60sOUbWqh7Chbz5w8Qs0rAlD58APb6b99+6B5j+vv3js/ad7jgcKtn7kr6oe1blUNZ13+soWxD+Gs5SdbrF6AtzaUxfpxYFZ+I1RjZTDX+BT4zKrfIXJd4a/tNSuzS8yDy9BrWOoicDadzkSzUATIyjr4ndbBdhlmVpSCs7ZaVp/fo3/9vrmert/eR8BHwEfAGQEPZhd/x/BgdvG38UI/Qw9mF3oLLaH6ve/vv0Y/e3qvUeUIBLWnYEo4bCib+8EfKBUBVzEwcE3ZDIBZYH2g1bIayJplPHpIqCzV+MwMQHi8W8pfVjdbKdWsBrCBEDMAtPK5DWVl3+XAWZwDwOw12cC7r1gpF86aOEApk0qZbNqAsvNV4hLBXNSfoD+/ricCzgJmJ9pX0LHE8qg6jx0eNYNdWwk0xgPFZ4+M5VUbYBbt6wKzeTYGUWcL2shWy+a1vbI2mDOQDftfNHe0nsFs2M9d+Y7m2pdKPYSIg2EawNowdq51WqzbF0Dbn++oGpiVhJRVBnGhQlmcTslzNsA1UM/GPYizbQw0lDXHUNAWcBaQVhSNWtXoqo8AQdiuNEPJGHp9Yl0NZvFvwNluBmldauo/vLqnGL6dN9BJG5e3Ry2I2QpB3YhetKqTusPv46axE9Q0zipaLjN7n6Hthzgx2C9O8t/AXibuAV2VXaPoZp+4PEmXrG5lIJ3/cE1mn2Thvx4W+M02t7YUrBt3gB/PrqN7p1eZxfq7KQ7M6t9BpwPOGjsDx8MT+9rSgFaUtPitZvczaXv8RhMLDTtWSVZa44UypfaBfmgXzGxC+d1fuYZuuf7K+egOfp8+Aj4CSzwCHswu/g7gwezib+OFfoYezC70Floi9bvjhw/RHT98mFL8Qz1ledzJoESALXdammRPz7gCwDrNvrPFSpDQhAEuD7oEhOK9LvA4iwOwdiKwUs1UTDVrWxaYQQu/DCguLpQy1gauAXsCiTEABUPIu252hN6cKu1LqeEskntJ0e/lsy+dwiRfH//MnUYlhXLjBe1GJZs8+wLKsnVB+vhRmtl4EU31bzTLUwz28cLg/7nBYEBvw1lAWcBZXSYmZ2ic+xUUOijoH8HfJhoPVbT2ABP+jSXhCu9jYvAQjR6Zo3VBQElyVa5zMGv6eakOXurCciwvZWMAT1dRwHoAW0WAy9hEbBIAbsXrtpQv7rz0hQWqlDUhLKkSVl6zYcxd0+RzYDZU0lvtY9scAMx2r9lc2IpWfUQBqWeVSCImfFfaYBY7bGeQ1slwFkBWkn/Jg8UXn5V7YCYHhwh3gNcf6ExSkv/RxdCtfXLQwFmAWeO1C2uDJ6fotp/sMZudSmuDd53dQu/Y1FzUCqgR0+5bEoHvbhLK4uLe83dlz6PdWYbjqgUEyM6k8RAxX9rtSgR2quGs6wG3VN91vxXwD/9/Ucu2ArSGXsV4j9fevcPRg3S7Q7Zzv0AfQ4GNBvYjFgbmtw1+H8EDOPwOwV/4G9/0yivo5lddUcZdyq/iI+Aj4CNQfgQ8mC0/VvW6pgez9dpyi6feHswunras2zPZ/sJB+sA/fN3U3wVm9Ym1MiybZBjWon3drDNv4R/nkzz1Lc1wTqbATY4HkBEJw1AMmOVBoBlcxgykoMLQSZyEkZZjIWA3RpxqFoMueyBmr1uKXQESY1ACGIuSsM7H2AaGHgmAs2uzw7F9JT3FXn8T05SZhsqlMEO1bPhP+4jwmq8SN/i++cpV9K6N8FblRG59/dS8fCVNduI1EA10BcwCyooyC/UUOKvVsoCxKBOTAaR1qXuMDx73OVfJcH9C/4nrQ+PHDxFetoqt0riZRF92KZb4ayEDKX0eJeFUhZFy2BigL6EAxi5Uv9cKz7JuVxdgKw9ZNKytuc9s3dt5FIJZNHwQp9wTO4DXYvcXV2Iw7Kdn3VmUaOuM+pKOv56W7kqOie/O1nYGlqHcU7xGW9nGAH60UlBNPDxEWd/Xxq+cahafylfV1oGcBy4A7bLUSUqe4FkeDN4a+1bR7ImD9MX7nqfbfh5YG5xKOAsw+05+uYpAWSwTeAnP2aZE4fp7Z7sJUNasyy/7ex/fMwjnjPVgWmbp2Mc/lXC2KJiN+a4xs374QXtvT86zV5/DSbYSwgsFM5jshJkazGIdPJhH3rAEq5Ptgi4mqlks+9Rv/xpdfOZaZ5v5D30EfAR8BKqJgAez1UStvrbxYLa+2msx1taD2cXYqnV2Tu9nKLuD4ayUMYfaFUC2LYSxh/nHPEBkW6i+0KcLOIkBXxpTzFm1Ezc1EMA2yUqXdDgIcqlWxV9W7AWqCatAVtl/kFsl5yWbZ2PAy+KUuEEdCmsgapGOcGDjypCswSz2cGV6D7/yrQ0AZDM8XRBFBujpaf6MAa1d5hvKxk1XvemSHnr3K7dQQ0ubqdLsTIqmlq83UFaKaI3GUlmjltVgFuugP/zy8BgdHZqMYKw+P52kRD5Pcz8Svzw7FgCzEjOjvlYUXaBsVLe4RF3FOpb4ybrWWQxg1gQvP8laNdeZbPPyK7aSeMB+9L03zmVXfttTFAHAWqOsZc9anXxsTodf6FA2PLmiMFpsDFyBiKwN5EuhmIFuvA0CwCwArdzDXBDQlRzTqEP5O1ksgcIdmPtfd29wf0YJZnTkTkCrZvEcUZatZKAL1awU3EZ7ZyepK8szHlKTDGYPUcPy1fToQzvov359t1nN9p29ftsH59Rlim3sgrMaymJbDS9tOPvj7Fr6CdsX6JJRX9Z4K78R8Ff/bomzc8K+5jMZmB2PWDjruNZMMlbeQYpnn7SxMhZKal2mWP16mL+HdTEPy0OFLD7vXpYDuvJQ1SQ/dTxIT3CyTf3b6eIz1zCcfdO89Qe/Yx8BH4GlFwEPZhd/m3swu/jbeKGfoQezC72FFnn9xMJAn6ZWzQLIJlgmgSlqKFg2OBZ4mpqETUo5a6bv80gPAwiAWZTJcFq6HcY07wc/8HVyr2hgxLAWW1eS4Mvev1a9OlWxvIGoWHkCaiyQtfeLMQnOMbA5CGKC/0/ywASKERngaUBrg1lsI3BWA1k5loYFSPA1MxGoWlD+n8eJnhiZn04ZN9C+eFUr/cXrcvC15aytpgITyWX0/EwHQSGNKbCmT/B7tN0xVkj/8kRgY4AyzMrYEVbF4u+egyOhfUU+6XYlKcG2UMvGDY4FzMpxAGcnh44YlaxdKlXNzgK8FuMtiwXMIlBVwlmxIvCWBPNzTZ6OvQqklb8V16FOoKycVyycLQZmw41t9aw7VqUTRYp61vVgD8BMFw3o2jpCdawR9wbrGW9QVs26vNFFNavVsrJvrZpNhDY+q2eO0+zYEDV09ZrVMi88TtsPTtJtDx2l7QfGDJyFehZK+FORFOwTlwWJzWwoi89scClw1gVlsT5go9ze8dtDx17grAuUy8Nd3DONZUC4E7vtap3rrhw7A7EYwPnhNxZeKPhtAv9hKYCygLN2ETgrib9MmyM2akX87tMQViwM7H15SwP33cB/6iPgI1BdBDyYrS5u9bSVB7P11FqLs64ezC7Odq2Ls4JK9gP/J7AwsAcVUM1qlayckAaz+EzgrPlxHqoVNZg1yZnCwYHsw0xNZxUkih4s6KBpJWu5wRT1j616dYFZ7FNbI7jUsPq4xk+NN3DBYkmWDTAt0/k0oLXBbF84mL5i6gU64wCTVqu4QMFjh6boI9vjrQ3KjVHcenFTU9+1JUk3XbqCkmdsMJtmhwepkT0Ss/0baKRjFY0yeB9ldawUgFmUY+MpenT/SARk9XFHRqaiAaPEBuccB2anQ5sDV91tMAsoOzF4OFSC5YPfSsBskFQFYJb/ms7hkEsvAo9ZHdNyprJ7EDvXK63+tq8U1JZK/rYgI1DwYMKQTndVI+V9iKt4vYbGwund+ddWcd9TrAv1bPfaQD0rRfvL4jMbzgmYNTMFwi8xgNnW9kT0fWyfBFSzWi0ry0U1a6alh9/lidQYdTexddHsDM1OjVP28G4+TpOBwLdxUrDbfvyC2fxUJgX7n1e20iVrcqpgqb8LXO7sOot+lF1nHijbRcCsVsvqddJsX4Pp+xGI5YUy3R8tL8eLszoI1in+bK+Sa6GUnYFYKsk+oZbVDzTx2wTqWcw+sdWyuh6AsuhD6Ft20k6sh+Pgd1/wPt/CIOq34Rt4zW5jz1lffAR8BHwE5hoBD2bnGsGFv70Hswu/jRZ7DT2YXewtvIDP73Uf/Xxs7TBoweDNhpxQy9qDnF5WYuj1NJjFAeDZBr9ZKYCyMmCAYlarZrFONVAW28X5yNr7k/U0sBW7BBvQauAs9bd9b2X2vAazsi6O0cGWD90Y6FjZjHGs3rFjdPHz9+e1gw3I7n4uRfc8F59sba5dLBbKnpOkG85OUmLVGmpZnfOLyybaaYztCzLNrTTN7XrCAqd7T07SI/uGaYhVswLrdR0nWTWLly6IxdRE2sBZOwlRnL8sthcwCyCLF4pRupr+UAhUZVlczAIgKxIo7Ef6rQPUFAOz2NI1qp1rY83z9q4EUB/5/cAjVv7OcxX87hd4BABqb/1skAgQ9ge61GOfz7sPRVYo1vVuw1i7jYy1AcPZmCd8dgKwYk0MOCves+IvGwfljJ1BMgClUtAGPWxnEPew8YzlbXTWQM7bVtcFqllA2dFUmkZ4pkI377uHv78AZnE37T3xHD+N5X0n22j25NHAd/ZnQVLFU+k7+2cv7aKLVuRPz7dj9L1ll9ORRG8EU/G7Bf7m8vtFwKz+bYLzCBh3g1GKuiyWNJTF+nFgVuJaiRetPP6LU9u6+gF+o+ClISzeA8w6uimt6Eo61bJ63Wn+Hu5ia4spnrGDAlsqXcTSQFsYSN3t34zf/x+/u8DvaL56PgI+AvUQAQ9m66GV5lZHD2bnFj+/9dwj4MHs3GPo91BFBP74/3yDduzO+crau4BaBHzK/ABXvp0azC7vaqHl/CMfn2FwI36rNpjFvgXOYmodVChSbDBrBktzmAPogrN6cKWXuwAwBhewbcDAzAUVUW+tgBW1rJxPOw9kdcEgJcl2D6u6c/59slzCuozh7IYjTxH+BvvHyDBY63RB2W2skn3Hep7qyAO8xMBqSmxgJVdLO812LaehmQZKZTk+XEfE6OBYAFkBZPeGyUTw76cOjkYqYz1Yc4HZaQa18JK1bWABag2sDYIeidjEhgJgVkNZHDdfGZs/jbgYmM2DsmZHGsyalslX0S1CMItTxLRkTFH29gRV3FiX2CaSPAyg1iQWm8O9e6GEztxbBHSaL6MKTipGPVsJmEUcRD0Lf9liBcuhjs2G36m4V6IgOVie/2y4E5xaa2uClocJoTrV91UnA9j17Cvax36zUpJsDbMynOHRzBt3pMeonV/sL0OzIydYPNtEX/zJHn4FnumnEs7ecG4r3XBuTjkr0PIww9jvM5SVgvbUkFoALVp1nGcGyUNZfB/r7yn8Bkql89vehrJyjFJwthz1LOqBOhQDuRrMCpB11cEFZgXy9/GDdLziCuyGuttazIN5e7bTVOjpDlALuyqxryrWR7e98nKvml0oNzdfDx+BOo7A9GChRVkdn46vuiMCyb7VPi4+Aqc1Ah7MntbwL82D3/mjhwmvYkVnJtZwFom/oPwEgASURRFYK1PpXGAW66X4x/yEw9dM7AzmCmWjgRgGOJGtQuAlZwY9CjBjXZcaBqvA+1bYqABAe3gsyTWsXZqBis5OnOQMxlgXA2AMfHWxt4VyFnBWwOzpgrJ/fl0PXXntlTSbDjzoZpMMZFecYd4LlJXzwDlMcrs+dWw8D8piOcCsXi8RJg1B4rfR0WmzyNgXKMVtxhoIGzBrRqqFcGSKFVuwLbBLoWVBDs667AwKgKzsMA68ivfkIgKzACooPmFXQXfyH1QQgfn2Ga2gKnNa1aUcr2SHDY18r1c00KXeL2d/8J5tZouDwptc8AkOkWDVbKPlQwtgC59Zu0gisdUrOpyHT/J+LljdRf0huBMwax5Yhl9Y7TNj1DbD9/YMP5Dr7DMPsLY/+Cj90T2BLY/2Kv/4Z+6kWz8TqKvno2g4i/v49vZNtL1jc96h9INUvQD+91DQOlWxoU8+4KP+6olLZloKzEZfKfzGbQ+QM8spBWZtIBvtWz3Utm0MBMrKunFwVrzg1/W1Uzv/zhuxZrbI9iYPgcMeIq6NPZydj97v9+kjsLQiMB3OiltaZ720zjbZm8tnsrTO3J/tQomAB7MLpSWWSD3gK/vHX/hG0bN1gVWj5OARAwYFAmRlJ4C1UkxiLF5Xkn/ZB+plNc4UD4iGwgRieA/VLJKIxQ16qmkaUcEY6GYpYbA/l++seMjaABfrC5g16hv82yhq3TUT1SwAr8BIrKnhbLCPwu03HH6Szjz6NH3ooSnaOTh/nrIuT8CL+hMEKIvSsnGL8ZKdTbO3YOdymu1ekQdlB0OYOsWDs12c5Ovo2HRBtuZjDF+PjwaJ4qSIwmZwcIJmuO3T1nRLDWZNYhVWgrnAqa2S1ceI85KNkr2pkXYslDWdxFbM6qOUmnQaKncrENtV08/nso2HsXOJnt+2VATqGdLOFcya2OTZG5ROABYXT5f3bLh7Y/uC71wDH/FeKWxt1axAWWxbDMyu5Nkd/fw9DTgrYBZqWRxjhn8DgMd1N6Sou5HBLB56zvL31JEX6LF9o/TFn+6jx/YM5cFZ9IPrt32wVHepevlWtjT4JFsbPNZ2ZgGUjeJkfdmm+YHfKENZ/OaYsR4GYhuZMRQkAQuqVur3SblwNthXoMMWlax98mpSUd4iY7MQfmIrgc1+UV9lY2ADWdkZHq6v7cv36T06Mh0pZLes6jKrTvNDVFs1WymUlWN6S4Oqu7jf0EfARwD3Iw9mF30/8GB20Tfxgj9BD2YXfBMtrgqWsjDA2brALJQ0UH9C9KgVoXYyMGyPgWLcIAZgVheAWUBcmSJXa1tOl7VBcI75Ay2Bsqb+tpTV0QVakZmY18slAMmtBPgI+wK87CKWBsqtIG+V/vYW+ulPt9O/3ltc0TyXXilQVg+YDZR9xbJImSpgFsfJtvfQc9llxr4AIHbSUsqM8nTQZ4+OGWgPGC3FBWaD/kE0OjRJkxOFvrnGXiK0s4NaNmf3GnxYDMjKcePALJZjMBsMoN0q3Ly4llDERiPrmMYIjjGXlqr9th7G1j6mfo+lI1BvkLYmYFbCYuwNmkPP69Kxilsjz3s2BLHBPS03Bd98r4gVj7IzsAEdrAzwMNQu+J4HmEUBnF3H663qDJJAyUu2Wdc0Tg1ZPDzkhUd3cyVYJczWBn9090567PmjZjXXd031EYjf8n2/fiWNDmwmfBe5iv2dPsTJKaXAhslWzcqMIQGzpaAs9lUJmMX6iGfc7wBbNSsPcl3GFhrQog6wioJiNg7KynmLaha2BEfDGSxYBmi7nhWz/z977wEnyVHe/T+zaTaHy1GndApIujsFdEhgUDhFZEx4/wijzAt+MbYxxgbB34TXwN8mCQQywWRFY5OEFckSQUgnCenuFO90d5Iuh73NcWZn/8+vup+Zmprqnp6dDb1zVfqMbne6urr6qdnprm//6vdI0eHsRKEs2nKq2an4YfyD7wAAIABJREFU5Ls2XQQOnwg4MFv5Y+3AbOWPcdzP0IHZuI9QBfXvdt/CoBgr8iYjXi1M1Oq1CRzAGSY5SvnI/5pg9tj5TQrMHuKJz0Ft8iNhbOEkWDq8w/uel1uGfWi9Y8qxxYu2XFhrg7O6vyyWaOqCmmJgto7hI+JiFoG0QIhtvIzU1o6oZnX228jxbeIXJsIIO0D15m276QvfDFc2l/rRDFpiiuWg17xqCVU3eAqasb4eql5xAo23LyAk+upL1NM2VkVDLRU0Fn/a0a32VXYW+Gzwv4OcPOYlVtPqBV6yI1g+ykocZIc2iw5m9e2I7RDbFkiCr/Bz98GrpVLWoy+KkXExqwIfvJrJ2rKHVey32F9bqaNYen0HY0uPmdtj6iIwGyDt5IFZH6WxZ21VFUCoDa1FjzXUs7A30Ptnu74JoG1kuyEboGtmX9oWfghoFh3MYhvA7Mq5jdYVMFDNdiT962B6lGo4QRhKgv1nv/fzTfTdX29Wv9tWZ0Q/4+I1z3vdqXTe606jOr7uAMzu6RkpALS6nUHfMPuZG5LUFF+L5Nqm3//g63vU9+0t3hPvuWYp3/nohg266mA2SFVr6w+uRaO+D2yU/i7nsdWhLPYxwSzeg6UBrB9stg9RjiN1HJwtJVqurouAi4AeAQdmK//z4MBs5Y9x3M/Qgdm4j1CF9G8TJ/r6kG9hELRMTk4VoBTwUQeysk3P/IskWVjmtsj3mj12Qc4Lr563PbevX730gjZx4y9FnwQNWrII29QsExkSc/IqEwwTytqWB+rHgyoUIDWsJNnzz6aWlX2gmgWYhToWBUA2F/ucpx3g7N2/ekxB2nJLGJRFApWa9g71Qkm0zqXUgmMoU+V5FA6wouYlnuyijGHppwXQCpiVfkJVDTir+8wKlFXtBIBZtY2XloqNAX6Hj+wQm/4XTnh1oK4DjxyYLQnEmkGOCGa9oPlJ24w2ZipLvUretfYU5xlb7h+O239KIxBXSFs6mNW+f9RTvkIAm1AJxSZuaYCBwPcZmm9ffhzVNuaut5J40xysWn4QWs/Ju8yHhEFgtrWhRj1UlDLE39PHzGukdk4YZpa5XA8PFJv4egcoWp0aoJrUoAKz8J/97q+fp+/96nm1m54UbN2V15MkjSvnw3XUisUMZE+lo470koXAxUGPw+6eYdrDy/PV17P//Qy4KKtz9GPrlgZiYyD3DAJnS4GSUdWzJoAVBS0e5ylFLf8bYQFP9lSwf2MdjzmPSbGyvKOB5vK9x282H8yrOpctLOY255KVQjGLzwH6Ikm/irUdtv1z//svaPVRS8ppwu3rIuAicBhGwIHZyh90B2Yrf4zjfoYOzMZ9hCqkf4CygLMoYcklZCIgYM08fXPCcdzCZnVzbxaAWZSD7CULOCvqWR3MmpYJWD4oqlnsO1lQVvqmzk3ZD2Dx5Xg2mYne9zC17GRAWRxrGWe+PsGSfEXUsmYsoZwtB84GZcq+4sQGuvasJTTW309VjU1UewQrsRjKZqprKVXfkQWhOpiVvpmA1gSzqId47eoapi6eIEMla5bRgMQiALNiY+BBWST4ClbB2v5EI1kVFPvbjmBlkAeLLXB2usGsPtbFTs9tdxGISwRiBWgDHrLkYuVD1wAAGxRTD8x6ZSLJwMSiRfYFmG1fvlK1Z4JZ8ZutZnAqkFmubTUAqVihwWDOLDqYBYwDjIS1QTsDXhPOLtbgXS1/1wPQNmQGqXao21vWX9tAN9/3OH3vl8+qwwRdhybyGRSVrL6vCWZlGwBtPwNZ3IvYoKzUw/0GvGexYkUe0Hr3Q954q2X8JahnsU8xQGu7FxMFLe4HokJZXRGM/nornYLhLKAsXqjTy37xG3f10j7fzkASf6H/YmOgvG21Zw2iOJ4IqF3FUPbzDGddcRFwEXARKCUCDsyWEq3ZWdeB2dk5bpXUawdmK2k0Y3ousDC444F8z9KgCYE+EdCXpcup6RONeaysmNdSRw3sPWuqawXMyn66ehY+szYfW9QVOKsvLZzMsAqcDZrwhIHZliR76IUUTI6beAIbVJpYKdzEbUBdBLXsXF5OqhczA7S+7W72nIV6ttQSNBm+8qRGuuL4BqpbsEA1WTV3MSX8bJip+naGsx5sF/D4zMEh66EF0GJ8+3kZKRTUmKyhYCJ7kL1kAWVtC/pTXN8GLpHwq3ffbh/IZj95JS0R9Ttf+j76WZYKZv19dbXddIBZZ1VQ6l+Fqx/nCMw4pC0KZjl6ifBVE7b46mDW2x5VPZv/UMqEuoCzSU7UqOCckQBMB7PSJ9SDnVATX4ebWPVapwE8AbMCZbGPeM7qcBYraqCYNQsA7ZxMD1sdefFJDHNCsF89R9/7xdPq98mAszYoK/3AtdUsOJchvibt4GsRPNKlAMLqBRAailqsCMnGin8QMIv3VJ0SrAKwT5i9QdBDcv0sgnxoVXyNz6okJ8W2pmS19eGzQFnUAZht8FcA/eLZAwrOIvGXmfTLBLN63HCvNsoPU3EvENW5x1kaFHxM3RsuAi4CRSLgwGzlf0QcmK38MY77GTowG/cRmuX90y0M9FORpXLq5l5NPoJP1EzqJHYGJyzOLaU04Wydyhad36bAWYBZWS5oToygxLBZGkzWMGAig/MJOt0gMAv7gqDlouhbVCiLupg8YrJ3HPu7SQlSy2L73NoxmssrC793/wa65Z71kUMRNAm+alULXXVSE2VSaaqdN5+qFq2gRD33hZPUZFjllGqYk3cMwFkdzGJyq09wu1n5uokVN+a4wSN4GLCWt5vJ1nCAIDuD3r27aeDgHuM8S1PMGidQGqCV7GMRMncFgVfxnZ3KBGBOHRv5T8FVnIURmClAG+gZrcdwUsCs12CYetaWyNBWv47Vs/OPPaFglE0wK8vza/kBoX6tq2OFJSDtvFZ+0MrXOl0ZKmAWjQucBZQFnJWiLIn4+xLXtQ4Ggo3EnrNsbZBIjbJyNqmSgf3DV36mqpcDZ9/++rV0Fb+ggO1Tr4z6V4qumj3EySUFysp2KGbx8NBW8FAY2/q01R26YlY/V8SnNGsDu/ds2ANym82B+rz4HTGhrHyW9HubNram0IsOZfG+DmbxO5SzPXz+Zoy0oc42ByCrr3DCBlznowJaZ2lg/Ri6N10EXAQCIuDAbOV/NByYrfwxjvsZOjAb9xGa5f27ni0MNm7P9yiVJWmiboiyXE5XzwLMHjG3gb3M8lVDOpytgSrH0jCWEz7yUnd2WRwmN4UZkacmYZJMSoMUKDZ/WVHLqGRnvKOckq6iwUekkSe68Nw1i6hk5X3sLxNaTG5FNWuqZQFjG6vH1UtNeBiajtckacPmXfT+L/6k6KcyaPJ7w2XLac2Kdm//mlqqXsZLYbltdYyaehqoqqeetPc71E8ogLAvcvKvzgDrgRd8H2GAWR3ODiPJF48vlLEC8+HlJ587E8z27d9N/ftNICunWgaYzTZRpI0SgGy2ybDMdPJxmMSPs/OOLfrRdxUqMAKTCmnxdxnyNxkJzCpT6eI+nvpQFCpm87b6gDb3ng3KYmsYyJ139PGUbG7JNlLjr/KQlSKywQSz8v4cti1Y0JbzF8X7OpjF70dwQjDYGKiHbcpiJtfnRlZgKssfvgGoGx+jmsyo2pgYG6UnX9hXFpwFlL2CX+pcjM+4wNnNh4ZV4i9A2aBiwll1jeKHiLg2AUAqmMvAV/Ubx9LX8PuNAuKivueRX/wPLkg1qz8gzx0v154tHwAuy0EPic2+4h4MylkUE8riPWxHQlYpw6ws7uLY7egeol4NUOtgVp2zH7OgM48CaFcfvZQ+9443FA+eq+Ei4CLgIsARcGC28j8GDsxW/hjH/QwdmI37CM3i/omFQdByObU8rcTzw4QAN/LL5xT606EpLPevYS89G5h9fj+8ZlPUOcAqmpDsxaYKo8QuFlQ3E38FgVldQaRAdBFiLZuRLMUGZWHvoCdSQcd0MIvfAWfn8AtgFjAWZV5doaInw1BWQMB9//ZN+u7zndTJGbptJRjKLqPVixoowUA2Ud9AVe3zmSjzJJ7bHmOlbKa2kfp4Yga1jD7ZBJjdx0AdKqUBYxnnLl4eiuWfUgDeUUQti5/TRqIvGXtMSsVnNhzKopVJALPSSQWHjdl0MduCgA9hUauCIhAo6mfb2RVEjZSrV8kRmBRAqy//9r8G9O+DaIm/JhvMeqMm0DUIyup1gsYZtgbzjjle2RooxSx31QR2SYsNQRVftJs5yReSc3ZwwjAp7Wy5A0WtFDywW9HG/qT8HrxMpXge7N7vSf45yQ8qEwxnqzMpqk6P0HhVtYKz77/pHlUnKCGl7bz+5S9OpTMu+jMvRvwywWw/X7dGmWIeGBylvX2j1BkCZtGGwFnd196D197RBc4GgVl9xU8UQBt2vyPw1bZyybx30+vYVvfYIDLGaOWCJgVmbaXDt1SC9ZB+7wU4u5MfyKIImLWpZIM+h+i76n+AvwH6f+W5Z6iXKy4CLgIuAsUi4MBssQjN/u0OzM7+MZztZ+DA7GwfwZj2X7cwiOInG+U0ZOkcfFKhBIUfHYo+OcPvHQ11BWAWUPb5/QMFh7Elx5hMMGublIb5y0YBsnISdTyRxbJPTFrNuYdKwMGTVC8JR05ZLDYGeiBOmVdPC5IejK1lDZKtAMz2PbuVX1to94/uo108Eb29aXkBnA3Kfn31mja65uzlCsqOj6WpeiH/zEtMUdLN8xSURQGYBSTWlUCAsmJdoMNZE8pif1HNilpWzgV2BmZBzDpffolgXVC8TCKY9Q+WTRDG8GCipcCqwH/SocwyfCgbNDGNckxnVxAlSq7O4RYBANoH12+kT950e+mnroPZ0vf295gAmPUuoKFHlO8KD9DaS9TEYbA2aJ7TUXBIADEoZqXovrRtPqSrhQctKy1xbbOB2Q4GuCi4vrVxW/hX1LLSbqsPaXH/UTc+6kFnhrO33P0I3XzPo6paMTi7bGSArk3tpuXLWyh51FHUev75VH/U0VkwCyCLl5Se4ZSCiwCzxeAsLAvgi56NA/+g5WdTcHaYlbM22OldH/Mf7hUDtLJqxBxVgFkblEU9897NfJiur/JBG+bnRtS1GPN2hvFHsX2SgFjpB37H+UAtaxaoZgFouxl4l3JfpvfbBqX1fn/2ujcQEoK54iLgIuAiEBYBB2Yr//PhwGzlj3Hcz9CB2biP0Czt34fYwgBwVoq5JK4UtSxu6qu1iWIDT9h0JYmAWQG1gLaYuGGZXBCQ1cNq3riXMgEIGx5MqGzzWxuYRd1aTf1TbNgBZXHeSU58hviYky5sE0WLDmd1MNvAE1d41zZwXVga6NYPAmh5yqS6kt6wgZ7/4s3ZbgHMbu8apofYikCUs0FQVnb6wltW0qnHL6UElLb1TeptZM5O17dl2xUwq47JsyuMjQ5m8T789Tbt7s1TyurxwoS3i1VLetHtDOT9rp076BC/oIYtDhvKBLNQycqB9Qn1BJWy2XODIgj9FxBrfnBCFENhnzEHZIv9BbrtLgJeBCaioo2mii0S4RJ9Zj2LhELgmn1AZBwuqH6x78rcg6BxamhtoyWvODmv5Wq+3tT4Dwt1KKuWvRvJKwFlYWWgK2bR2AJOXqmXDoZ+HYafKa5rUM2ioG38vGHzTnr/DT/K2zcIzgLKvqVzO608aR4/sMwVANq5172DOkfywSjUr/BHlRIGZ7EqBNcxrPYQKyXvIW7+IABWSjJLfUtQ8lLUQXu4dpolCMyiatDDYt3qIOieTSCnnvjLtDvQQSgALWCs/IufB0ZyDycBq/EAFmWAf+7Fy49rsRUiQauz9Hs80xvXqWbdN7mLgItAlAiM9HVFqebqzOIIJFs6ZnHvXdcrIQIOzFbCKMbsHMTCQO+WmUiiyCr9LFTUgSzaA2yEEhTF3CbHA4hcTn30u87SMlfLzftkgFlvWaJddWR7G1DWpowxh1aArLzfUOcpj0zlL5aD6kUpivg9+MsKkJXtmLS2cjuNdTxhNjrXlOqjpuFOynTupV2/eoJ2/+4ZtVtdSx19raueNs9drH4vBmVRZ82KDrrxf59NiTr2B6xm5Wx1HWUa2tQSU2GVXdoEDfv08e8As0joISraAZ607eXszd1sSYHJsFmwJPIQ7Cr4aYC0q9sZAMh27drp72YC16BM5aWB2SycCFhGme1zuWC22N9+iWDWAdliAXXbXQTsESgF0M40mI38/cSnagLaIDAbZn8AOAtIiyL+sjqUxfu4ruurOyTKsC0SJa28p4NZ+K9DYYuHjHgoi4IrLywP4DWrkm3yG0gI+sEv/ljBWbMEwdm1ffvpPafU0nDPiNpl3tmn07xXn0GZZAvtTbTQSCZ3jRe1rN72IKted/r74n0BslIH1yq8UBT41G4ZPP97PKDkRF/Kgza/17ZrH2rgkqMeaqqfczuZYFYApYK4fjU5vn7nEqaolR7hM4E4m0A2t71QTYttgLOvak/R1nRTFsaaY4Nrvx4n2a7OTwtKEJTN1vevhbb7MgdnC/4k3BsuAi4CRgQcmK38j4QDs5U/xnE/Qwdm4z5Cs6x/SPT1oe/9j9U7VlSzxdSyypsOalPLuWPyJjfWQf5r2O31o0+pm/kHxxbTS5lcMpJi4cRkB5Oh7JJOfQdDbRS+KDQsQUZhL5Ka3UBQH00o69kV5ACsTLzExsBsB8qUxS35iVWkTguDWXj2NTGclaKgbLqP6Sg/JU6PUmZ0hHq37FRw9qfdCfpZwnuyGAXKSpvXnn8CXXvhyUopSzUMZvlfAbOYIEIxq5duVsq85PvMyftQEQHMokBRM6gtB8V7GHckEEFRwNoHtLAzyIeyXovj2aRb+RHLBxAhYFbUsMUgrG1gYwBmnX9ssW8Ft91FIHoEogDaaAm+ihxTJf8qdhVS33B+Qz75m8j3lFr94R2r8HtRP0Zwn0U9W8/XoSrL6hBYFOle6bhPwIPCOU1J5TvbVJ+71rVzXTxkxLWu3n9Qq4PZGj9RJlSyEM2i3f+8dz3dcc8jgR0MgrNvbB+iSxI9HpQ9m/1I2W8gU9dE48kmTlSZyCarPMgPA21F4KwJZaWuQEcdzHoJrrwaAJMoyqpAA7Q2OwNpU3+4LIAW9wfeEOav5DETf3o1vIL6OHyxB+moixgDkNuKqVKVOlfXbqYVVf30rfqzrfupZJ3+ln5NjWxWLjcJGj7TP/vku4M/vG6Li4CLwGEfAQdmK/8j4MBs5Y9x3M/Qgdm4j9As698Hv/M/tNG3MPA8x/wbfDWx8H4udpMv4FVZARjnr4NZbLKpZk9L7yC8pNySWlkUzgLIpn1yjOOa/m22YSimcLUl75qIjYEJZKUvYmMgv4tqVrcxwDalKOKJcCtPZhvZ+gC/m33Dss8G3ob3AWezUBYNdO3Lnv5Yfy/dvH4f3fLofvVeKVBWGrnxr8+n1SceqYAswKwUTCYBZmVSmeIPDFRIvayaFY9Z1N3bO5L3OxKCwINOig5m5b19W7fT/q0vFnjgYXuY0gvbBUjIkl+rJYHtAxLlvRkEsw7IRhkgV8dFYGIRCAW0ipFGgaphxw7av3AZu9cKDmoHZ1HPUC1JZzDpscKg44S0xjse/crTqWlOe0ElXRULIIsXQF97U862AL6zAIAAs/V8vRIoK40BzrZyHbkvUFCW23nmhV30sZt+UvQ0g+DstecdT9edf7wXP3/cxloWqPaGWTW7a4iUjYFcu0aFqvJ2vHeIHwrCYkcHjTofB3QE09SBrHRW3wfvCaANsixAHRNU4pPi2RIUjlnYCiHcr2CPYp8a3U4pCNDqStUVVX10de2W7Hj8qWY54aUXs7821axeP+pKJ5ulAz7XV53nEoEV/QNxFVwEDuMIODBb+YPvwGzlj3Hcz9CB2biP0CzqH9SyH2RvWVsxIW3QaUEtq083dVWsbmMg+5uq2cWZHlbLPl3Q/IPpxfRbVs+aRQey2CY+aQpyFom9d07Bk2sdfurnbzaLejUWpQneT/pLMc19TLUstmPOheMAXgO+oohvrbIrgCLJ76/ytDUA7Rw/ocpCTgTWkur2DolGezt5pucpUL/7mxfo5oc97+CJQFnst+bYxfTF916aVcviPUD7EYbjnUP5ibBEhTTE8BVwVlfL6jEBnIV6FuNpglkPym73qxdaFRQDs14Y1DrIIp+IiWxGu/aEaxNprWAfi5WBA7KTElnXiItApAgEAdpJsTOI1AOpVD6YzbYU4Fcb1B35/hRbhKaOdga0p2Wr6/6yAmWx0QSzeA/XN3iiz/eBrb7Ev5mVte3sUytXZYBFWBp8nKHs0wxno5RAOLvuRMKKDymDtS10cNxLWtk9kqFd/ioO2zEAintH+CGjofqUSwoSfY3wS+O52WZMMCsb8D48am2XJRPMit+9TWVrA5q6JQG2e/dZ9uiJf6xpp2QCWgGzr63eQ6+r2VPQmAlnzfNG33G+QSWqarbQ0iGnIHaWBlH+QlwdF4HDMwIOzFb+uDswW/ljHPczdGA27iM0i/p38ce+HtrbsJt72dHm/yXw1QZmsZ8OZ985/FBgH3Q4awJZ2UlPYBEFzoapZmUyFAZlcVzTX1bqYzKHpCd6pmbpp6mWlffhIysevHogWhjKYoIK5YveZ/HnQ11RzS5r4URgqQF+DXowcowTmjCY/d79G+h7v3tRNTtRKCt9uuaSU+mKv3it+hWHwCRsUMHXcYJSFsVMpgI42z2UztoY2AZarA32sao2H8jm104YyrEgOwN0Tvfpm/w/x+kDsw7ITv7ouRZdBKJGwAS0sxnM6tdLa4ZLLSj6Qy2obfVy9BmnKfUsbAygfjU9zts5yZeZFBN1lrXXs1d6oYd8iw9mBSLiev4/P3+U/vv+9VGHSdULg7PXXLyGl+rUUiKTpoNjSerMJNU1dRh+sgFwVs5rf/+I8pk1C675eOgYpAoVOwNzP6zyScN+SV2n8rcKcFX3RxpV1eGs+NHmxtO7n5KHyvp22/2bblHgPbssfHgpgBZjASBrg7JyfLE0CFL3lqKalVNW/TI+j9JNPSmZVLn/E87SoKQ/FlfZReAwiYADs5U/0A7MVv4Yx/0MHZiN+wjNkv7pFga2SUcx+wLsY6pl9XYwKYDPXFBCLUBM+MouzvSGRuylTDP9x8AxgXVM0FrM0iBMNYu2MA8ttmBVfGLNiY8ObM3EIJL0S05EFC7NRlZrbBe1LH42wax6z1fPKrURT5DnN3oJxRScHR1QYPbJbQfofd94UL1fLpSVPn/uH95Cq45bpiZNmFgO+P6ymFACzg6yOgb+fHp5uWeYOgc89W5QAZx9+OGnNJWsvabulWhTzU6dSlbvz/SAWZfUK/Qj4za6CExbBATQ/vaxTdN2zOyBEqUlxIzaQTNBGPazfX+aYBb1oJ499bVrC2wJsM0Es16CsCqCJzoeNuoFHul4uIh/cc3DNfHZrbvoX7/606inkVcvCM4CzF534UnZFRSAs93j9WrfTrYsgG2BXnTQCSgLOGsWXIPlYTHAKQAk/pUSpJoFmJV6iLcOaEVBKg+I8646XFe8ZVXyLy62xF02SwT9Xs68H7PZBMhxL2rYT+fW7Q0dC1HNBp1vMTCr91fdM/lHwxkKoBVlb5DvrVPNTujPxe3kIlDxEXBgtuKHmByYrfwxjvsZOjAb9xGaBf0rZmEQBcqqiUFIRdxE1zDlNKuIlcCraBedrvnKhoVt21gzfWvQDmdNMOvd0AcvYQ8Cs+ivSmBWhMrieEoVa6lXoKTlOqin2xjokymoXACvzSJqWbyvJokBnYJ69qT5TVTv2yCgft1wF218fge97z8eUM1OFpRFW4Cyn2U4i8kkXlDLShlkSGvLct3D0PUgg1lzSajst+mJZ+mpJ54r4a/GszYwweyUQ9msfYGnyC3fb9J+yh/92ysIL1dcBFwE4hWBB9dvpE/+++302/XTCGinCMxKZNV3KX6xXDNt8Nar6n3/nf66tdQxf07eIM1v9YAnikBZ/NzBtjvKS92/lgHEQi2LguuYlxiM6N++eifDWc96ZyIlCM5+4X1voNV8/RqrqlX9P8QWPPJg0YSzcs2W4yvfdM3SQFbpAGrqalod0AaBSrQ5YiTMFEALaIthCLqvQj08BEXbNj98tB2UGMx7UFx4f2PaGcg5/1XTVjq6hh/yRiiPVi2jRxJLszV1qwrECHEZ16Cr2aTAWe02JlvFU+LmPnNB3XFwNsJAuSouAodZBByYrfwBd2C28sc47mfowGzcR2gW9O9D7Cv7JPvLmiWKdYHsE6aWRR1MvILg1dLxXnrL+LMlR+qbDGe3M6TN9sGSbAzbiqlmTZiLuaK8FwalRamKpX7mPFZts2SuRttIgILt5mTKBmZ1taycp/jMmgGb21BLy9uSWbURtj/13Hb64JfvUlUnE8rKsd/++rV0Bb/gH+vnXlObMCHczXYEZjnoq5GU8qgvPwt26VA2O/I+nOUlplNiXaD70+ZD/nGZdfoT3ZI/xAE7OCA7WZF07bgITG0EAGfxmpaiLFwCnhbKw6KJJgjD/gqU2tu3qWXHfVNV2QYwC0CLIv6yOpDF+x6EZb90/hd1UABlxS4ADx6hqr2TLQzwKrcEwdnPvf8t9Ipjl1KCv9LTfN3oZJsdgE5cm3U4a3tAq1sa6PcPNg9VgEZc76CotRX4q+vwUuoAko7ww86wh8MeeA1+8ByUUAvQ0wZ8TTB7dE0//VXTtpKH4EY6M3AfPMTVlbnmvWMYmJU4RXGLd5YGJQ+b28FFoKIj4MBsRQ+vOjkHZit/jON+hg7Mxn2EYt6/23/zGN3xwGOeCsHoq02xEHQ6UdSyQfu+OfMsLaNwC4OgfX81spB+NbpIbS5QywLS8fuiipXzMycysl0HsnI8b1vh0QWseom/PMWmPj+ygVkBsa0N+Us4pXWoZU1Yq3xjDS8+084AScHa2AKho74669eLPiNZyodv/LFqfiqgrPT70+97Mx191BL1q8B8TBg7B9PfEbJ1AAAgAElEQVQFVgYCZlFX4OzEgWz+uCif2SgztqJ/k8EgNm9Xiydfub6TDsgWHRxXwUUglhGYHkCLJ0D5Pq/qSy8vAaGtTkjINPW/13Y0MCtQVn3vG96zgLNLly2gOc11BRYHnmWBp47FtU0sDPQe7tixlz79tYlZGNjONAjO4tq1auUyBWZRBM7iITIsDfAyfXOz1y62NNA97fF+kPc9tg2l0uwnC4Vrfg91OwPZIitpPKAbfFGzJQOTNkz/Wbwv7SrVavZ6na+cFWi6LrmP1tXvm9Df2sO0lPAKKiaclXoCadXDdP+eVO6rSr20O9XshIbO7eQiULERcGC2Yoc2e2IOzFb+GMf9DB2YjfsIxbh/m17cTVDLStHv/6dLLbt2fCetHY+WbTkolAJnAUNtCb/MyZPejizbBFgOSgRmwlld7SpgFm0q2wR/1qXbGOh1sC/UQLZi85dFhmqzXzqYFShbX8M2CDzh9cYtQU9t2UX//OWph7I4j1NWLqWP/92bcn5wHAhR0A5oPrPwnYWVgV5+9eCT9Pijz9jpdwl/O+MZ9rJVgEFJV/0pZwkNqAHE/tGnf1m1rHEYb8lvacd2QLa0eLnaLgJxjEDZ9gZCywJPzoCuYd9ZYepaad/cP8AqwbQx0KEsmrKpaZcsnU9veNM5BWciallsaOKHkW38YFG+LuUh6Be+cRdtsaziKWfMg+DsvV95bxbMon3A2VG+GUKfutmyoIutC8wCcNg/wvYHfH3Ti2lnoG8DtMV+eOmAFr+nNBsg3d5IoKy3b+HZp1mxHCSYNf1a9Ye+Bd6zfLKiDMY91Pl1E4ey0sticDZIQawuxfyynW+p4+9Us6VGzNV3EajcCDgwW7ljK2fmwGzlj3Hcz9CB2biPUIz7BygLOCtFV83qiRfCTiEoAYPsI96ytjYmamFgawuqWQBaWwkDs3o/i4HZIPsBKGalCJxFQjAdyMp2+OfJ8k29r6aNgToW/Gu5vkxW9aWejdw+JrTw6fOWhuZgL/YDlAWcnUqlrN7/t15yJl3OL0wSTb9ZgbM6mP39HzbSHx7SvBmV312JNNPvQA7KmqMfAdLqarFS/lYtall991LgrIOypQTe1XURiH8EJgJoPV/s3LnZv0M0MBvpQVKAeta6b7DSNgtebVYxRb67AWcBaaXAXxYF1y5cw6CY1ctdv3yM7ubXVBT9eviJm26jT950Oytml9L/+543qsPJPdALhwZpiNWqKEEAcZRhKhStAKt60i6bnQHaAUQ1E4IJoIXPrC15l66WtcHZMDCLVSu4otr8Z21qWon3haySvWCCSllzzH5IJ9BOarUOZZBqVirbVnGV+plwqtlSI+bquwhUbgSGB/oq9+TcmakI1De1uEi4CMxoBByYndHwz96Dm2pZ/WYYP0dJ+FUMyqKdMG/ZciwMbJEPSgoWBFzNNoISaKCegqyWoNSyUtVsH/VgS2DTXmIyajsOEojV+5YFktwLh0MSFDNxCCayyzmpivQHatlarW+f+MqdCsoGKYSm6lP7L6yaPYk9+0y/WRwPcBZqWbwKoKzWoaAEM9Y+K0gApWwUlasBaScKZP2OmBDF2j91yGDY7IDsVH0SXbsuAvGIQBR7gyjfJTlI68PTSFBWYhAR5gYobLPfyUH+3REeqol6VvxlcR3EdSzJ1zcdzG7etptu+EZuFc9UjKINzp54zFL60F//hTqcAq3MZHf1DSs4GwQ/scJokFWzuXsnD9COYh+L/YAJZvVzC9rHtDEw4WxQ39TqIfwXcmm0WSS8u3krHRMxyVeUsdlJLfRDOjGwaphq1huLUtaw2A/j4GyUkXJ1XAQqPwLDQ0OVf5KH+RnWNzQc5hFwpz/TEXBgdqZHYJYe/3pWy27kpYImNwJGws1wFDAb5iuLsGByENTOq2hX2RYGttADzkI5qycFiwpmbR6z3nkwYOYJJICqEjVpsx0Bs4LfRFUrYNZMPGYDs5isAsqaSloBszJZlDkWYO08TvQFX1kUQFnJsvwpZLFmb9kgKHvNJafRk1v20IYX9kz6JxdQ9mN/+0YGs4WzQfTvtnvW08/ZuqBoiTDRD1bJFm19UioE2RjYGjd9Zx2QnZQhcI24CMyaCKy7+nr67XpthQD3PAqQjfJ9MjlBCFHL+jcJQUmmSnmY9tb/dS6ddsLyvC5DNSsFUBZwdirK1afNoVv+dEg1bVtJcsIxS5RyFqpWydMFj9kDg6MFCUTlgVsv2x6YBbBx0LA4kGt4GIhEEjAdlgapWqGEFeWt2Z6+qifMfxb98RKHeb0/hpN8vbu59CRfUcYJlgYPjXse9HpRq4vwKuJZMBlw1lkaRBkpV8dFoLIj4MBsZY8vzs6B2cof47ifoQOzcR+hGPbvNk74hVdQiWJjUAzKCqi0CTaWUx+9NfHclEbmm4PHZOFsOWAWc1JRuOrgVCY0SYtiFupXvKSI4tX0lwWQrfGTpjQlWWFrqEN0MCsTO8RzLkNZKI2wPzz6lN0Bv/+jnz1KP+Es1kFQ9gvvvYxWH7dMdeuWex+jm/k12eXNF72S3nzhmQoU63H/4c8fox/xq5QSNOGfaSirkpJEUunmzhbn8tq1p6ixAZh1xUXAReDwioBubzBRKIuIlZtg0Br1MD9aXARDvu/CwGz2e1Lb/+gVi+j/XHNxthsCZqfKwuCas5fT1Wva1fE27Oih99/1svrZBmffdOEr6c/XnZHnbwowe5BfegkCs94qIk70xWB2mO0JzDKSzvekNbfrcDbMbkDgrIBZm80S2g4DweIzC9sC2BdMZblh/JWBzZuJU20VQ/KfReq2U81GCpOr5CJQ0RFwYLaih1ednAOzlT/GcT9DB2bjPkIx6x9Ush/UEn7ZuqdZplp7L5lzw05NluOby/CxD6As4OxUFyhnf83es7bl5ACHSq1hkGPdZkCHsuirOflB3Ub2dsWyRb0dqGVNuwI5TDMDWBQBsvgZdSUhmN4nE8x6+yUUmJUCBW4zH++nv3iUfsxgFiW1+T71r3jo4ecv/s1FtGblYsokmwnTxdR4FW3cvJNuv+cR2sS2B5NZPvY3b6JXsHoWZSJANq8vhnp2xqGs+syUvr5ShwCTGWvXlouAi8DsioD+vVxqz0vxri6p7YCkX1Ha0MGsDcTa2gCcveB1a+joIxeph4wvv7x3SiwMrj3veLru/OMp09PJFz1WvvZ10RMv99A//fyA6pb+vVx73CXqvdeffwZdeN5p6mdPPctJKzkJ2JAPVfX7iQG2MhD1qkBZOd+ugfykYWIvMJyKBmfDwCyOATgLC4QwC6ZiYPb85NRDWfQVitk/snI2qBSDs5ORDMypZqP8Nbs6LgKVGwEHZit3bOXMHJit/DGO+xk6MBv3EYpZ/z74HbYw0BJ+md2D8jLMxiCKrywmIKKYNcHsWWxhcHZiapYq2kINMIuXWTzvWw/M6ok7dDsDTHhMqwddNQsoK5MiHc7awCwShDUyQFWTMwMGA8rqkyuBs56i1oukijv/C3URVLKiRkUW6J8/8CeC2gjll7d+hl63dlUhlD0WidH42LX1NJioyyqCMKm849719IP710/aJxVQFnC2bCir9QiT4eh+spN2KtaGSgGzDshO7Vi41l0EZmMEHnxko0o8BRVtKWVqwKzFxsDqwR3gl13FDxtLXEEg57yO4exlDEG/8p27J9XC4JpLT6drLziJL+4pSmTYbmBsjDK7tlJmeIC9mjJ0y8ZeuuWxg6ob8h2NMVl31fXqvYvOPY0uOOc0dc3FUnokrhxkoAo4q4NZJO1CAjB/4UveUJqqWdwD4P4BYDYKnEVyMcBXKbl7Ee++JM2WCeq+I+QDFGZncH7dXgKYna5SDM7iXiaslGtp4FSz0zXS7jguAvGMgAOz8RyXyeyVA7OTGU3X1kQi4MDsRKJ2mO4TRS1bDMxGsTAwrQMAPlGmw8LANrTwm/320LF5mwTMyps6oAUktUFZ1BXVrKhl9UYFzjb73q/YJpMx/FyLiRkrXHEsTEJkLmuCWWlTwGzWSoH71ZasVdYFAN7oy72/epzu/lU+lNUnmJicXv36M7njnlJ3pDpJw2O5CbastnyafWn/675H6LmtkwDNAeb9403Kn1pJiW4m5YihjUQFsw7KTv1YuCO4CMzmCJSqnp1yG4MJfdcG+9NGGRuoZ7du51UbE4S75jEAZa+59AwfyvqqVbTdwyC2v0tVH0+N0Hcf3Ea3buhVv8sDTf3aeSGD2UtZPYtkluIVP8owFAnBBIcCyuIVVHTVLFa3yP0ToGo/J8IMKykGs0MMcYMSSI74ytuwBRxBYPadjVvp6Or+KMMzqXXKtTRwcHZSh8M15iJwWEXAgdnKH24dzH70ox+lG2+8kc4++2z62c9+VvTkL7jgAnriiSdoeHiYbrrpJrruuuvUPj//+c/pbW97m/r5+9//Pl144YVF27JVCGvnne98J/3gBz+go48+WvXBldkbAQdmZ+/YTXvPi6ll0aEo/rKoJxNEXUPjQd1CVY2oZqfLwsAWWMBZKGclKZgJZmUfTHIAUyGVsc0TcXqwIdDVsvrxsI+AWTOZV9JUxnJdRAsTNltp4oRgStXrb4RatpaPjb5jnJ7ftou+9K271Vab6ufa809g1dDJlKlvUWAWUDbDS1ZleSZ820QNBEUQyp3sUYvXhEuFQ1nEpRiYdUB2wp8et6OLwGEZgXVXXh9JPTv5YFa/XocrFsMHpjw4q75Xx8JBZbEPxhWvX0t4JRguJ8c9IJtIDXr/Ztg+gC/O42xlADibGeijTH8P3bKhh27d5AFK22qTv33HZbRk2ULPM53/N8DesbqKNcXqW1w6cU0FtBVbA+mrqGZxX4Trv1n6h1OqvewoaKuNUBc+tTbwi3sq+NFKCYOzup3BUQxj38VQdqZKMdWsaWmgWzvhZ2VBVbqTUN7pOkuDmRp9d1wXgZmNgAOzMxv/6Ti6Dma3b99O//mf/0n33Xcf/e53vyt6eIBZANz/+q//ove+97104IBnebR8+XL69re/rX4GQH35Zc+nPqx8/OMfp5qaGgIclhLUzr/+67/Sl770JdqyZQu1trYWa9ptj3kEHJiN+QDFpXvFEn5JP6OCWfO8MGkxoaw+5Vsy3jvlCb+ixBrKWcDZIDCLNqBqlXMRzzxR/WJSAJCKZF0oeZME3lbHk6+Oxtq87MrSLxPMog8NNdVqQmcWbGvkbSjQ56BeI4NaFGzb9uIe+sI3/0f9bvPJ87z1TlAeCACzw8lWBWWlYAnmEJNZAbL68Z9h9exnv/7TKOHMrzOZUHZCyq3SuzyRPcLArIOyE4mo28dFwEVAV2tao6ESSwXYCcQifGXAWf/7frzIcvag03z7pWvpysvWetdkflVxe7XjY1Q1NkKJsVEPzPplvHM3je3bwbYGHrS9dWMf3foUWxxwsfmzf/Zf3qm2Aat2sdesXgTMynsCZnVIC9WsrpZFXRlGXMs7+/MTi5nnaIOzgLKi4s2eVwCwFNXsdFsXBI2VCWfNxwH4DAQpY+X+VIDtRB4lOEuDWHxZuE64CEx7BByYnfaQT/sBTSuDL3/5y0qJGgXMSmfvv/9+uuaaa2jfPs/qp7m5mfr7vQe4+s/r1q2jxx9/XL2/evVqeuCBB7Ln+653vYtqa2vpq1/9ava9oHbmzZtHn/70pxX0dWX2R8CB2dk/htNyBhd/7OuRjlMs8VdQI8USgv1jogwVZqSeR68E5exv04sL/GOlhaQPQINarNeWJJp1FrQmlTIGk6EUg0/dN00Hs2gDsBUF0NdUxUAdK4pdWCC0sz2C/I5Jy1e+63ny2TJLA8pe84azaLyqRrU/QjWUqsolDEO/Rvg1apkEK5sF/0D/9rU76YXte6IF9jCBsgiGDcw6IBvtY+JquQi4CIRHIEg9OzX+spM9GhOBsyCKmvqzBDj7tkvOpLezShZF/Nh1WJdMD1INVLNQy8qDyTQnAXv5WfVeor5R/fvt+zbR7c8N0+vOXEW/vO0zqj2xmTj6yMX019e9Xl3T+1gxqxcTzOrbBNL2DHmqWGWPhP80tl5bk1A+sYdKgLOmWhbHxD2Cutaz/YFZ0I9za/dMq59ssU/V58bYaiKg4CE/4mWuWLLZbE3U2sCpZouNkNvuIlB5EXBgtvLG1DyjcsFsOp2mZcuW0fvf/3764Ac/qJpvbGykwUHvQa78DJUroOvOnTvV+wsWLFD129ralEq2t9ezSYIC9pOf/CQB1NraUddvBrjt7e00MDCgjvupT32q8geqgs/QgdkKHtzJOrWoatli/rJB/SkGZac74VeUuD2YWkgPpJdYq4aBWfF9DUqCtnxuQ16bULYAhKovdF9lq0NZqYzlhqJeRZZq1JGJSXtDDfvK4nevnS996y7awsBUn0TKZH7NkXPoS+96DWWSzTTOLzTCLnWc8Cup9h1kpeyg74uHSQ38bWVCi+0CZqH4wXYoc2/4hqfMDSv4DGDfRIJ1RRNWdWGCrrQwxQ43o9tNMOug7IwOhzu4i0DFRcDmPTv5NgZTFDZcA3KL84sfRNSyWRLnk8sinrOXM5R980VnErNNBSaVmtK49gzx9a4ukaF6SvPjyRz8TXTtpsTokALCY309NLLjJbr+93206WA672GnjAP8Zs969eqsjUGtn5RzwPd51U9S7wPOBF2CV2z/SD7UxT5ib9DPSly8wsoA7w9gqatlvfP2PPFRbMc4p2Y3ncuJvkoak+KjVlaNP4wvoYcyhfdf+r2kCWeD7k8nAmedaras4XM7uwjMygg4MDsrh62kTpcLZletWqWsC+65557scW1K18suu0wpZAFkUXDd//CHP5xVvZaimMW+UPSuWLGCjj32WBoZGSnpnF3leEXAgdl4jUfsehMl4Zd0eiJgNghQSpszlfArfCA8APhipoVuHj0uryomObAysBXMfQBIs/GCSlRTv2CSBcWsWaBYgXXAnKbarErW1r7AWahlUTAvbaqrVi/v93GV7OveXz9uVfasWdHOUPa1MOujTEMbjcNb1m9oX6pWAVkpUOiO+sAYEBiAFgUK3xGGslDTqvP1000DzkKhayselDXWUWYD4wUob8JsA7cxti4wz1nO1QHZ2H3duQ65CFRMBGBt8Mmbbs96z84aMKu+8HO2OdkB0UCrPGT0rk/5Vj4qcSRfI8Z9X1hzQN/KQBZQFlcWJK9Es7h8ISmmJNcCkB3y1aOyDWBWAG2i/xAlBthvdixFYwP9NPzyi8pw/UMP9dOmzjHrSpSLzj2NLjr39Oy1GL0GmMWxwornS5+gPk72pYNTXF/1e41icBagEnAWSb9UIlHtXkSOb4JZBWVZLetfhDEwsfn7sMFZM7msDmfDbLbwKLcEobWKgVPNxuaj4DriIjAtEXBgdlrCPKMHiQpmL774Yu86wLYFUi666CLas2cPbdy4UdkYLFy4UG2Cgvbmm29WP1977bW0Y8cOpWr9yle+Qrt27eL7jir6zW9+Q3PnziWAXZT3vOc9VFdXp5KPSbG1g21Q2d511110wgknKCjswOyMfoTKPrgDs2WHsLIbiJLwSyIgN776DS5ueMPsDcwbaTOaM5nwK3BktYkg4OyDbGuAf1GgPKmxTHiwTU38DKion7/YGNiO28pwtY6tC7K+cAGiUG+5o1egypnTWMd98n5HUi6AWRRbopIbrzyV1px2kppsYraaaeyg/rEq6s9UUedgmj1qc1AZsBjqWSmYOMIHL83JTMTiQAezqAcwa6pns7BAse4Sla5aLNU5T3DOmD2u7fBGm9noTvBY6CaO99G/vYI+9ndXVvaXhzs7FwEXgRmPgKg2ywKz+G4s4zvPGgTt+5YXnhtVtIOVeF0QMKu+aw04K1BWLhcCZr3rpbcCRIeyeB/3L/WQ1fpFAG3dgW0KCo/zNW/4hefUNRNQ9oO/Pqhq2rzbL2Q4C/Wsvq5jsAic1f3sO9lvVjzlYWNg3k/s7R62hhr1cK8BKIuEYkFFwOyRVX0KyOLfvKLUzPEoO8Zb6PuZ47Odsa28wkdHkq1FyX/gP2uOdIJONRspTK6Si0DFRKB3gFdJuFLREWhtyq1ahU/snXfeScPDw3TKKafQY489lj13+LpCMCQJvgBboViFOhbvJ5NJ2r9/v6p/77330lVXXaV+vvXWW+nSSy9VP5911lm0adMmamlpoaamJvrhD39Ia9asUdtgfQBgW19fnz1mUDt33HGHArmwUXj3u99Nn//85yt6jCr95ByYrfQRLuP8SlHL4jCYutjYVhCYLQZl42hhoM7QMlGEchZwVk/8pYfeBmVVzLTlk6aNgQBDHO7kBc3K17V/NG1NuCXHgkIV0LSBJ5iLW5JexmY+yPPbdtFnvuYl5BIoqyeLufHtq2jNig6W2LaxZ0IrDVbVU/d4Tr27vz+loLPAWRPMot3ukZRSBItCF+/VWyC1Us+ylYKaQGtK14kmbrF9xMP8FENBbJS/F8uS1yi7oc5rzzxFQVnYSLjiIuAi4CIwHRF4cD2rZ//9dvrt+k0TOlxgwkJ8F+rEVvilfyOQBa4lPnObUCf9nRLV3ooRKYCzb73olQQoK0Vdd/kXnVEKIMW101STAszq9zHwda9nk5/GsUGqzqRovLdTvVC+8/Nn6bZnPD85gbP6tfYCBrMXMKBF8R0E6AAD16BiJhoFnMUDUNvKHKhmB1kVK/dW1T6QRduivN3dFQwXAGYBY69Lbg4eghjBWV01G3Q/ifsn3K9IrBUUNz6P8ivqmIt3wj6LV517Bl3BL1dcBFwEKj8CDsxW/hjrYLbyz9adYRwj4MBsHEclJn0qRS0rkwzbTa0NzCqxI5byB5xrPC0McEcfvOwQytk/0DKewOXOSiaAzZx8C0X8YvWkXqhTz4pYsTHAJFifOMCa4OSFzdTDk65enjipZF9sF2AWKGTbkrXUxclClrIlAtQ/ON5zW3fT5/7Dg7K2ieI1Zy+ja199BINSVsO0dNBg80IaYjALqCsKEoBZKYCzgLR9vucdlmNiUiuTP/yLZGOY3OpgFu2JeuXL37mXtr0E3zq/+MqjKfnoG7CgrGOUAWUBZPFyxUXARcBFYCYiADiL10RKIJydSGNTtU9AEslbP/tX2QRXcn3GdReXLVy75PoFn3Zcexs5gaf+gFHsDKTbAyy1bUACTkDc1ADVcYKwzM7NND4yTKkD++jWpwfo9mc9AGpbnfL377yMVh61JLt8HlfzgwOj1oeukphLD9m+vhHlLyt3UACKUMUqP9rRDPVa/GYF8IaB2TPGduSsC8LGKEZwFonAdCibZa551heeVUHY8wHcJgi8LVZX3evwazWP4aeve8NUfZpduy4CLgIxioADszEajCnqigOzUxRY12zkCDgwGzlUh1fFUtWyiI4AWPOm1lxCJtwybIXi26qep+UJYxndjA+BTS3rUz8oLfjE/zC2mP5Ytbygp62NtQXvAc4KqAWUrWNVji0mUMu2MeiEr+t+X1kDOItJZNbagFsHwK1luNrKScJkMgebvM987U4FZ/WllZLs65pXLaFrLzyZEnXecomhuhYarGflrF9wjGFupHsoP7EI4CysDHQoqyYrGmlHHxrZfgEQV4As6vziwSfpl/wyC5aEhoHvGR9+B2VnfAhcB1wEXATKi0BFw1kGhuoBo1HeuO50euMFnr+r3KvgGjrM1zBJmon3BcxKPXnAiN+bar2LG7zVUU/ArGqP7X9qOl+m8Zefo3R3t6p327ODWTib2nyfek9sJVYetZj+5h1/rq6XWGWCh6i9wynqhuJVswgSlat+OnjYCTuDPoslAeArAO1Ow9IA92CS4OsgQ91RzS9e2j4r8zK9OrGL7X0t/r62j1xM4GxQIjC9ywC3eLCg7k0DAK0OZrFvMTgr97VvP8epZsv7RnJ7uwjMjgg4MDs7xqmcXjowW0703L6TEQEHZicjihXYRqlqWfOmVvfqMsGsqBtMZaiEEUAWYDZ2BXf0tsRTfkczKc+bdUeilf676uS87tvArF5hblOdtWlRy0rdHT352RZTDDNlYjmvoY5VPlVK7SPA9v/7qgdlsXT+l7d9RjUjUHb1sha68f9hj7a6BkrMWUSpqjrqS+agLNQlAKpIgmKC2R62LQBUtjoD+nAWywehTmr11cI49rYX99J/3JIzS9djEHcwOxGPRmddELu/YtchF4HDPgLlWBvEWTmr+8uag2zC2W4GobhG6Qk5TTCLNvCAsYmvqd5KEVIPKqXMaci3Tajdu5USu19Qm6sbG+k7v3xe2Rro11+BsxdzIrDL1p2hoCygKZJ3QunqPez0VsToYBZAFok2pfRyMjAdzqIuHsyioB1RzZpwt49X1PQZilpA2bMzO7xj8nEqCc6K96x+vyl2Bvr9i82DFtttScHMuvf8y7sP++8UFwAXgUqPgAOzlT7CRA7MVv4Yx/0MHZiN+wjNQP9u+81jhFcpJUxtoN/EmkvObL6i8VTLcjSUjYGSTRaEZnxsjPCSAjj7x8RyhrTs2colDMw28KRvSVs9T/g4Y7KhZBG1rLQrdgZ6BwBnUVa0N6gEYygAsz+6/1H6CSf8sk0K1yxvpS9e9ypeejmkluSl2xbSoYaFWaWttI+JCZKhHOTkX4CxKJgQoqgkJFwB/RdPPnV036dNVLJY7glYjPIfN9+fb2GgnwgsHJCsJYZlIlDWWRfEcCBdl1wEXASyEZioenYy/cAnczjCwCyO873P/JU63ACrTcW+QCWp9L3QoYYNKriGtSbZw12r0oLVKf76d1x68SCydrt375TavYMyw4P0gQd6aOOBlDUZ2KXnn05vvujMrJp1kPs1xGAWDz0BaHEoKHN1ICv9M8GsqGWz2304a3rUmmD2rWNP0fLxnrzTjg5n7fdDkzmmUduCpYFZzIRguoUU6up+s2JjYLZhwlnzXhf1nWo26ii5ei4CszcCDszO3rGL2nMHZqNGytWbqgg4MDtVkRDbJ/IAACAASURBVJ3F7V78sa+X3HvbzaosBRMwa8+am++nenbVbl5Ot7vk40/9DpqNgbGEbxz+qKn8pf7Sn/+uOknB2ShgFvv0sIpHL68+oj3vdxuY7WBF6hy2SsDSTCnPvLCLPvWVO9WvNo+7L15+Eq05kX1l2VMW5VCihbrSVXmWAzLhfKl7iDpZZZPU1DrYB2BWrBhQt7Xes2vwvPvyJ7itbLPwwO83WC0Msp2OKZh1UHbq/7rcEVwEXARmJgKVBGeLgVmoZl9/3qnKMkAvgJd4mWAWcFSudbi8trAXfEdDrfKWRRE7A9z/yPWyqms3jW/fSGNdnAyML4ZPDdbTP97tqVFtHu9v4sRkb2E4iwIF7372mpWCayyOYVNtoo7AWV0tq5/X7p7hLPSV9/Hwt5PtDABjAWWDSmQ46yUMmJkPr3ZU09JAT6wq1YJWaeFupdgZyP1sUDJbp5qd8Y+A64CLwJRGwIHZKQ1vLBp3YDYWw3BYd8KB2cN6+AtPfiJqWbRiA7N4XyYUEKQkAmwAdBXDB6pLU+pO3/AZ/rIanM2M5iZStv48xMrZp5uPDuwq1LJQnaLoqtnl/P4R/DKLbmcgUBbMFAJWxPtphrKf/MpP1G62ieAX33oirVnOSl4MWnOHgrMAs71j1QVJxXb3jtAensT1+GB2fktdtjuYRA4bCl+cB1RDmMSKkhc77Nl1gH74w18VHa7xMTvgLrrjFFVQn9liMzbj2L+45dNKpeyKi4CLgIvAbIgArA0uuPpDJXU1jqrZYmAWJ3jOn62mc1+T+36W1R4As3I9EyCrB0RPZAlYCkALxSw83et8uSUeSOIBaWP/HqoZG1a7j6fT9I07HqA7nvd+tz0ove0Lf6OumWgG1/KX2LIIx2hlECx2BVgFI6tQdFC7i6/PuloW9kco8KV/kR+qygoX3GfheSn+XdH5fNa6IHTQ+fpXVZtv11BQPyZes+iXrprVV2fpfTZVs6V86IMAOdq44twz6Ep+ueIi4CJQmRFwYLYyx1U/KwdmK3+M436GDszGfYSmsX8TSfgl3bP5c+ldD7pJVhMXvPiON7YWBqqTnl1ArnhL+MRX1twkNA9cb4wtCh6vXUFPNtrh7DHzmvJ2FzhrqmWlElSzgJ+YGKJgIifMG3D2//77TwiKWT3ZV+1xl6i6V5/aQe+4/Hympp5X7fhAL6VaFygbAxRMTEfQCBeBsvgZYFYKPGNbfW89LAmVAiXOKPvvwZNP9+3D9rvv/A3t2X3AiGHhr3EDs9LDKIDWWRcUHV5XwUXARSDGEVh39fX02/WbgnuoEicFZE+KwXklqotARL+P13/gioLe4vqVZviZ5KfIAJ16AXhFUi2zAJ4eM6eB9+F7AW2RSP1IF9WPdCsoO9bTTcMvPEu3PzdMd2z2rrtmMrATj1lK//yeN6p2GjjJ2IHBFPWPZmgZPwjd1Wd/8Cugtp+vwTXsLYsVLablAcCsCZmPPfAcndC3laqThQlJg4YwFM7GCMyKata2OkvOLUg1G/XjG+J2Qfd/wnnNRo2jq+ciMNsi4MDsbBux0vvrwGzpMXN7TG4EHJid3HjO6tZKTfiln2wYmMV8Rltln90tO8/hH5aP99LlcUz4lb2bN8GstyHD0BXFW81n857lyZ7vzfoEg1kTzoq/bMEHhwN20sLm7Nt6/LC8EclIUJCQBFNlmTR+/95H6I5711uTfV29po2uPn0e1aw8NdvuaLKF9mUalNoWQBXAt4c9ZHUoi8rDvKRT97/FJBBwFgoeAbL6OTSx0kfK448+TX/iV5QSVzCr990GaR2UjTK6ro6LgItA3CNgszaIc8KvvO/miGD21WefQq95dU41i+uYeM6iPSTjkmus8qD1k2phW5/vsd43Mqa83OHtPo+thFA6+JoIWFuTHqbm/l1sccQJxvr7aHjLM+oJ9O0MZgFnbck4/xfbGVx+yZkKzKo8o2OjlErUsuJ1LC/Jl36+7fyQtHo8TZ3Me20rkkwwCyi78uBzCsoWA7MKYHJcADmrqqtVUjBriRGYRf8eGl9CD9FS602niiufTzlq76CEYDg2FLNONRv3bzjXPxeBiUXAgdmJxW027eXA7GwarcrsqwOzlTmuJZ9VOWpZNZEJWe4NtWwxlUKs1bJKIVSYFMSbrAYnCxln2ilQVgZkb20H3dd2enZ8dBsDvClLFU9pZd/ahlbrOM7lpZN9nJALib7m1FcrlSuw8X/e40FZFFORs3pRPd1wMatieRJVfcTxlGpfTCmGslDbQJmjl739I/RSl7fsUooJZvE+gOwQ79/mT0plSSi2iWp2z679dPdPH4j8eVTJv0JiGrmhaaqIyTCUyQCzrrgIuAi4CFRCBABnP3HTbd6pBF/i4nWq/F2srAwiFh3OQlUKax6zQD2L8wecHeHVICrhpV88QDdO85vqaAG/9AK/2ZX1w1SX8OpnXtjg/Ts4QP90747AZGB/eemZ9JeXrlX3Uw0jPTSSqKHh6karahZQdm6SV+QMD9GLI+Lvnn8jpoPZtS/9nuYMHsx2MwzOAlwKvExwZ3CdSzCctsLZmIFZ02vWHNMo96PFPkLiN2ur51SzxaLntrsIzM4IODA7O8etlF47MFtKtFzdqYiAA7NTEdVZ2GY5atkgf1kJg9gYBMHZ5Yk+ZWMQ21JgY5Dr6XjGrqRFjTQn8graDjgLSCtgVoCs/PtnNXup/ogTqHuEE2xpE0YsqZzLMLaXYWpLXZWCs/C1e2LzTvrwjT9WHRMPuwcf2UjrrrpevffFK0+j1Yt4FofJYcs8Gpl/lEp0cmgo5+mKBF+H+LWja0jZqjbW5ZaFol8DvlJIzv4ge9sBzjbzBBEFYLaBlbL4F8rbelbzRrUwkDZnG5iVWMf2s+s65iLgIuAiMIEI6NePCew+/buUCGbRQVga4Bom9j2j/HPKh68DrFQdYWCLVS3tjfngVV1HoSjlf6GsPbKjIXu+or5d1pak9roENSfGqK5nDyV69lNq327asLOXPvBAj6ovdkOA4J+86Xb13r/9/Zvp1OOXUf2gZ/0zVN1A+9PJrGoWdgWLfa/3ZGqAV7NksmBWOiHqWYDZZM8+ApQ1SxCY1aEs9qnSkn5a4WzMwCz6HARnxeIgTCgQtMLLjF8QnHWq2en/03dHdBGYjgh09Q1Ox2HcMWYwAh0tjTN4dHdoFwHWz/ENymzRQ7jxmqIIlKuWDbUx4I26hsOWeCHealkOehiYDVDNhkFZGcbn2lbS7oUnZlWy+vC+qfZFGm1dRKNti/LgrIDZMQbCSZ4QIraYCH7gCz+ijVtyvrJ5UFYl+2L1bWMrJZraCPYFUMsCygLOCpCV4wPMQgnbyJBVh7O6z2wvA9w+P7N1HU/c8NIL4OzO57fSk49FszCQfRXIDon3FP0JlNysvhS15J3dDi4CLgIuArMkAuuuvJ6QHCz2ZQJg9rRXnkQnn3aC8kYXICvnmeZr46D/MPJIwwde1LJS96QFnu2Qbokwl1eS4IXSnEhT87ZH2ZN+lGrmL6Zv//ghuvWpAbXNTAa2auVS+vx730B17FErpYfqaQerYqGShV0CSlUmTfUMZlGeHvQeupqlduuTtGR38DW4rjU3CTWBrGqLbzCqDAuDAr/ZGIJZdF1PBKZORaUFyN2N2u5FpU6xFV4qL0KI1bJTzVo/ju5NF4FZHYGDvd73rSuVG4F5rfk5Xyr3TN2ZxTUCDszGdWSmsV/lqGXRzTAbA1sSBv2G+Oyq3fTqxO5pPFvzUPpzCZsfQ7hdAVozVbFjqTRPwHJJsYJODslAts45jl519uqCKjqYxUZRzsLGoKE6Q9U8Kcskqmm8upZuuethupVtDGy+ddectZSuPXtZrv3apIKzz9QsVhYGUMiaRcAs3gdgbfOTjAmY1aGs7CuqWfn90P5OeuyBRwIVw0ExmQ2KWT2p2gx+cN2hXQRcBFwEpiUCswLOTgDMQgF64urj1cssA/zgUewN2hmw6qrZMUPPcCT7zMJ3Xfep1cEsHl63DXdSw2CnOszolo1066Z+BWf167YoZ6++5DR6x/lan/h4vWleidI2L9tNqGVxH4BiA7P3/upxat+xid5+rKf2VXc6Rr9FNWuFslxd3b8ZidBAOKtqxDLCS4Iax2KqZs0EtCZ8jQJuwywMJAaIBlSzV/DLFRcBF4HKiYADs5UzlkFn4sBs5Y9x3M/Qgdm4j9AU969ctWxUGwP9NPQb4g9UPzbFZ1ik+QjqTCT4greaLbmGN9fJwduoUHbTwTR96A/9qnNrz1qVB2fnJYYJVgYo/cvXZE8AcHZhPYNw5SjLZWyMvvsznuDd/bD6tcBXdkkj3fj3f05Un/8E8FC6mjZ1pZU3ra1s3uf1S4rAWfjM9vJkFRYGZjFVs4/+5mHqOnBITQQji/J5LMYxHjHW8DsoO7N/ru7oLgIuAjMTAX25/cz0IPyoXlJGvAKSVBm7Z+vz+2+++g15W2FhMMIWAXoROCsWBvq2OfzwUk94KduOm+cpUmu4W/CdrWePV8BZgFlcG2/Z2E+3PTOYtTRA3drjLlH7XHvhKfw6yYOpw6zU6u/iFTTsDd++JE8ti7ovDtfSQCZ33oCy9/76cdXO3Ze22APH7WbYtqG2OWfDYFYUf9mC97N+swFgVgfAMwhuRTVrEwjgnEQkYEJZbDPBbVQoKxz77ec4OBvH7wnXJxeBiUbAgdmJRm727OfA7OwZq0rtqQOzlTqyEc8riloWN5qWvBjqCGE2Bmq7qbbw+4Wb3ssTzxP8ZWeuFFfDqht0nrxkVbFQ5RiQVsCsLdlX0LkBygLOSlm2fCG95a0Xql91MCt2Bni/dmyEajkDM9WwAob78eRzO+j9X75b7WMuh8R7N/z5EXQqK4ES85dnjzPEk7fdo7W05VDOK8mcN5lgVh2bz7mKK+7vHVaefGbRwezWp7cQXlKKJUlT9RQg99YGRga50/zBcVB2mgPuDuci4CIQqwjEGc7mlJ3F4awOZRFgXTWrWxiYwV/BlgYAs4Ns9SM2B7D9wXvHzm+iRa385FQrAmYbtGVFLT07KPP0H9V9RVVDE11wy0tqD5vf7I3vPlfZECVGBmh8ZEjVA5yt4lUvopbFe/tT1XQg5VkcfOlbd9GW7XuyvXj7yjp6+8pCq4OxUfbA534n2zwbBlvR/WXN7Z7fLCtn5QYiC2ONVUgzCGahmv0jv0IfqvOJ2bbb7AzC4KwpUnBgNlZfXa4zLgJlR8CB2bJDGPsGHJiN/RBVfAcdmK34IQ4+wahqWcwpbJ5axdSyYUkUjmAge/mMJ/yKBmYRwQzbExQUDdJie3qk0BbAFn1dLatvB5xde9ZqWrciSSdW5/zloJoFlK3jVyI1SJnGOWq3f/jSXbRhy+7shE73lb3hsuW0mhWzmHBUveJsVV+gLH7Wwaz0AeOFCedO9piVMsTKoWG2PEDp7B9VthU1/L9qnpSh4GcpgLP9h7qUhYFZQuGsQFl/J8kGHac/TQdl4zQari8uAi4CMxWBuCYFy19yHwJncd22wEKBs72D+ddxJAFDGUVSML5lSHJSS7PgYeXSDg/KLmpJZgEt7AwWNtUqtayU9FA/zXnxUaqes4AygwP0nZ89pVSzKOYD1jXHLKAvXXWqB2UzYzSeTtOe328ial9Ei15/HiX4PTzUBJh9aPN+hrLeg1qzmHAWUBYv+MUGgVk8jEZMc7YFhe0m2NIgoRTKIctcIiqYp+rzfMP4K4Obxi0gPioBNWw+tKhqAtqge2EHZ6dqVF27LgLTHwEHZqc/5tN9RAdmpzvi7nhmBByYPYw/E1HUsgiP7iGr35AWA7NQywbd2MYi4VcEGwP5eOSpZi2fmbHRNCtgeJIkE74QlYipljWb+8hfnknnL8qpUtMt86mmY4FXLQ0bgXH63m9eoJvvfdzqK3v1aXPo6tPmevUBZheuoOG5K5RSVooNzGLbi52DrIodIQVkjaWcKT5HNeZaMpBqf8IJQNtQV0NPP/SoZ2FgKVY4a0BZ7BY3MCuT5cP4q8KduouAi4CLQDYCcYSzBV6ouFpZoCCUnkHlvLdcohJfogz4/0pdLPvPcEKwek6KWc9e79n3WSma4vdbODFXq5+YqzlZowDtio4GWtJcRz1+ErHu4THlRXskdVHTwAFK7dhG6QHPzuD2Z4es1/NrzzmGrjl9Ht9fpGnvH56mvQ89Q4suW6deqvA19Gt3PU4/+MUToZ9QsTQQKIvKNY31VMsvswDK4nqNa30omM1aGoQceobB7ENQzdLSgg5696+JvKRvpuVBWBIwESug4YCFYeTArPvSdBGonAg4MFs5Yxl0Jg7MVv4Yx/0MHZiN+whNUf+glv3Ad/7H2rrJFE27AoGzYTYGcoNru7GFfQHA7IyXEsAs+mpVzap50TjBW9aTURjKESXFyEkybn9+hO54frjoqV+1qoWuXtWq6j3/+xfoZPbAG2/qIKproA3PbqP3feN3apupsDllXg194a2voNq5uSQhbJFL21vZ0kCThehgFsm+UKCUTbHyp38oTdU8eTTL6LCnJAJwNzM14/3927bTvhe2ZXczl4tiQ16iNAuU9erEx2TWQdmiH1VXwUXAReAwjECs4KyyOrXpHvPhbBiUxRAuPPZoWnjMUQWjqa7xmoWPDmdTALb+JUtUs9JAa30trVniXcelzGcFLeBs08B+qn32EVbN9itl6gce6KGNB1JWv9lrXrWYLhrrUlBWypqvf1r9iAe0N9/n+cmGFahmL19RpZSyUqCWhWpWLwJl5b1QOJuXCCzg6DMMZtErG5wFlMUnBoncTAGBDmiDxAXF4i3bHZyNGilXz0Ug3hFwYDbe4zMZvXNgdjKi6NooJwIOzJYTvVm8L9SyT27bVXAGmNwUA7PYCRORIJUAtuvesiacjYVaFp0sEcwGqWYBZbMw0QZntSi//u7eyJ8aHc7+8ccb6bXvfSOD2Xo65xO/UG0INNQnyJ9+TTOdvupoqlt6hKozWt9BOzPN7As77qld/cF9oWuQAGR12wLUH+TkXkP8wmRMh7OYnKRZMSulpjanGMJ7A13dtP3xJ/ISoZknKqBWwdkAKOsNy8yDWT1TduQBcxVdBFwEXAQOswisu/J6enA9J7OaweJdW4I64MFZ24NCfQ8P7CZowTFHFsDZtKGexX7tLXXKWxZqWSm6ahbNwfJneVs9LW/PJdha1ub7vfJu83bmgOrYwb10wfe2q6ZsfrNfohezAHGcjwnF7M+qOiJBWenfj1+bf902wawJZbFfMdWsCXYLR0FR8xn8dBSCWf1eCB0DXA/89MDKq4xbEgdmZ3To3cFdBCYtAg7MTlooY9uQA7OxHZrDpmMOzB42Q507Ud1btkApUATMCjPzlrCPW29YbRlu5TixUct6WaZKHn0TzmbVsnpLCjwWNn37ZlbL8quUsnphkj5/wTylmq1q7aBvdCfpyZd7rKqaT7+6maCYrW5to4YTTlFQtq+2jfYP5PvjbmO7goe2H7ImZhMwKxMygbOwMdCBqamaBZQFnEXJU8XaTjYEyqr9MS6lD00pYQ2t66DspIXSNeQi4CJwGERgpuFsoY2BEfQq8UINHgzPK9Urp1x4bvbnMbb0sSWkhH1Pki0N9OeIOpjFPZKoeM9ewatduEApC8WsXN+ahg5S01AnpRnKAszC0uDWpwZU3dTm+9S/knDt0uoeevVIJ/X4HrhPvOIM+sXO0pKnXr4ioVSzUhrmtWd/tkFZ2RgGZ70kYMH2EN6KoZkFszgPXTVbbfTHpprFPh6rT5T9sNjB2cPgS9CdYsVHwIHZih9icmC28sc47mfowGzcR2gK+qd7y5pqVl3pmr0p9xUDwsrAZMVbVPlsGQpH06cL7chx4qOWVT0viK4CrwwGMdGwZurFdoBXv+SpZeVNgEUjJps60/ShP3oJPkotgLNn9u6jDftGaH3rQqsP3ZWvaKRrzjk223Tq5HPUz/sGUkoti7J/YJQODI5SHytiN+/tV4pnc7x1MIt9RDkrNgZ63wXOwsJg/7YXs5tCE31lY+T5+NnKTIJZl+Sr1E+nq+8i4CLgIpADiDMRi6JgFtBVVLOWDopaVjaJata0MMD2NPuvo2Abmq3hBFh1DGirfTgJOwOsTNGvraKaVTYGBsSsO/giNe1hayd/CdKtmwbolod3WR++nty1lxZw8rCnOhbR/obmCYX6E6uq6OR27p+W+CsMyspBapI5j3r9wLMFzKLPSAQmFgb6OZhg1hQXhHnNRhkEB2ajRMnVcRGIdwQcmI33+ExG7xyYnYwoujbKiYADs+VEbxbuq6tlpfv6TacNzObdhDPMq7F4GOjK26A2llEvXZ6IgbesN6uyjl6eIhbqYQug1eukR/IzOGcbNSwNPvTHAdrUGQwjS/komb6yqxbU0RevWEPVC5dzlmbuD58b1LIHE62cdGQsC2TlGAJm8bsJZ00wizpjgNH+cs2ElgkO4zzS36csDMxSXDUbEgslZp5+yayDsqV8Cl1dFwEXAReB/AiIunM64xJuY4CeaD6zakVQoXpTV8tK3wFnO5Yu54Rf3r2C7jErdaprcu0JmJ3XXk/NnAgMPrR6AZw96whPoTrqP7hN8b/tmQHqGPcf2vK1e3jjerr4jh2qns3SoNzYimpWwGwUKKvuFUISgRW1M4iBzyzOAUnAHuaXTb8LOwPbai+Jd7les/f8y7vLHTq3v4uAi8AMRsCB2RkM/jQd2oHZaQq0O0xgBByYPcw+HLpaVj91D4QV+sua4QGUDVqVptrwEyrYwvrWxHO0nEpbejdlwxMFzOoHNyAtEoFZbQz0fXw4W45a1jx/majpvrKfO7edVi9KUt2a13rV+dxSdc30x0PVSiFrFh3MqgmXppw1wWyK1UFpXsrpue8Vlt3PPkXDfYW+uUVVs2F2BjMAZh2UnbK/NNewi4CLwGEUgWmDs4EJv8xg5ycAU/coeTcxdliLVlacvpaBZPB2HcyifoYfYNYykE0ymJVS7/uxtzTU0GuOmUOtyRpq4Vd2+3iKFmfYBoiviYmxERp6egM9sa2TPvywB2vNB7GT8VECnEVyUTx4LuUhaJBqdraAWcQOqlm96Pc1YY+DbavDShkLp5otJVqurotA/CKwp7s/fp1yPZrUCCxun9hKlEnthGvssI6AA7OH0fDb1LLmDWrYjaluYWALm9zg2to4i3bR2YndMYl2sL9sUIKvbMd9QAurgvTIaHHvMa73oYf6J0Utq3ufiqff1WcsoKtObqIML2+sWXIUVS9aQV2JRtqRStLzBwfUBNQEqru7h2kPv/QicLa3f5RSnH1agGxeHWP0unbtILyCSqhqtpjP7DQmAHNQNiZ/lq4bLgIuAhURgSmHs5GhLIdTqTXzr4J6IjCbWlYGoW3xUsIL9W2AVsAs4CagLJ5NNzbXsb1BvueqekbLjZ69co5qWsDs0pak+vmo9D4FZVH6HnpQVb5jC3vSbxm1WhdNxofk7te3UIJtGHDPg5JJF65ikW34t4oBc11zg9VPtqidgZ9YbTL6XW4butestIXu1bBXblgSMNQtZmmAVURhoPvu/+tUs+WOn9vfRWCmIrCry4HZmYr9dB13aYcDs9MVa3ccewQcmD2MPhlBalkJAVapK1WAJfeSd+MansBBvLuQqdiEs/+YeDQGkdZPzI6gi4JZxIdnWbj5Tg0MZyc1MoExT/L729P0/e1TZGEwr5Y+89pWajj5NMoM9tNwXQuNtC+m7qom6htJ03MMZlG8/BU5QAt/WahmzYLh7efEIoNDKaWSNYuumh3q7aE9zz0dOqbFVbMhPrPTBGYdlI3Bn6XrgouAi0DFRWBK4GwpQDZL3fItBbJvM4jzVgmF39cInM3up0FagFk8Y9SXuetgFncZ+qXspGUt1NaQ79WK+63T51XTstakOkTdjmfVv2O93fRPP32BNuwdzloa6Ctlyv3AvO2oanrbUTnlblh7UMpCXVvt/1twb1A0ARhCHZYgrNyzKW1/UzXrrQRL0BgPFu5fw4rN0kDsu5BUDH61toJPGVSzb3vd6aV11tV2EXARiEUEHJiNxTBMaSccmJ3S8LrGI0TAgdkIQaqEKlHUsjp3NQFtmIUB4oObToBZFG8ykrs5nTm1bHEQa45tGJhVQNafZWWQAIzPcYw9ZjOjhZBT2n3jrz0VTLnFZmHw6de00Kr5tVS7cAnVLlhMXS3LaaC6geBbp4NZObYA2i0+mIUqFmV0NAdIe3sYNmM8AXItIF6mVkEWBgXxzKDtgIlviGp2OhKAOShb7qfS7e8i4CLgIhAcgUmFsxOBsrq/rNlNZWlgT/JpVj3itDMLThKADr6yuE7qvvoCZkUlq++4fE4DLZ/bkH1LPQTn/y1oqqPj5jZSB9sdNPbupur0MK+CGaDHH3+G/vH+far+VFga3HmeB4ODClSy1ZwkTEoQmMX2onYGqhE1iDP+J6OrZkUtK50qBmdtORkAZKXYhAnYJnXu/Nhfzfj5uw64CLgIlB4BB2ZLj9ls28OB2dk2YpXXXwdmK29MrWd0228eI7yCigdWC7cKXq0uopbVb0zRin5zOn1qWQGxE08cZYJZAbHyL85N3ZgDzPolCM5+5E8peqrbnmSslI+dzcLgihMb6MoTGlRfAGb7j11LqdpG1ewAWxGgPLqrp+AwOzqHaPPLPdmEJmaFEVbL6hMnURNhGScKJqDdRSwMsm2qOPnQ17aUcQbBrIOypXwCXV0XARcBF4GJRWAy4WxW3RqZ7Rn+suYpWJOBmT76CWVngBcSYar7Gz8ZpgBZ/FvNEBP/AswiUZbtLqSVwevJy1pVGwJl8TPALF6LW+qoNdVDyaEuSu3aRuMMZ295sptfPVNiaRCmmjWhrLr+4xw1UKuHE7YIxdTH2foxsDYQ1Wwtj5VZilka4OOH8TXve9Vnw7JiTFaTYTsUs041O7HvEreXi8BMRsCB2ZmM/vQcY9X7PQAAIABJREFU24HZ6YmzO0pwBByYPUw+HRd/7OuhZ2oDsyICKHazrd906gfBDeqrptxbNtgvdiJDCzCbGWOYiGYDltOLWlZv34SzT3Vl6CNPMOSchGIqZVaxhcENb15J1U1NVNXYTAON82mgaUH2SMj4DNWsDmYBZHccGlJ1hvpGVIZpUxELBVCKLRBUCVC1jA700f4tz0Q6KwWvC+CrKGbgm4FJbgBE95VEkQ5UYiUHZUsMmKvuIuAi4CJQRgQmE84WdAOXFFmVYQJbi79s4f7F7QxwhBZ+ANqyYEne7rpSFhvwoDTZUEf1DGdRTK9ZvAefWR3K4r0mBp5HdXhK2mObx6l+/wuUZjCLUjV3EX3nvk102zOD02JpAL9YQGZYF5glFMxGsTMwG5xBQAvV7COJZWQTHdhUs7IiDPVr2cJijOF82gf0+mmZYFZfTSb1nGq2jC8Tt6uLwAxFwIHZGQr8NB7WgdlpDLY7lDUCDsweBh+MYmpZhMAEs7hfLgZkc/sFy1feR+unPsIK8JVflFqW28pAcRrECw21rH5UHc5OllrWZmHwWfaVPYXhbHLF0ZRuW0jd7UcWnDzg7EM7uglAtodVsL1DObsFAbNq/DQldB6YVRsLx/XAC8/SSH9v8WAjTmJnMW7zkpW2g9XNQWC8+MGDazgoW0703L4uAi4CLgITi8CUwllLl9T9S5XdX7agulU5m6vl3QslaPHJOX9QZfejXSJV8i++7tayKhaKWSnVfiKwpO8tu3pFG7XUF3q7nrzASzpSz/WP2fcnGufGqxnKZvp7aGTzU3TxDw+q7XINm6x46qpZm0pWj1UYmFW3DKWoZrMNz5y9wZcSukVF/v2O2HHhFsm8FwaYBahFolQTzppg1qaqdarZiX2HuL1cBGYyAg7MzmT0p+fYDsxOT5zdUYIj4MDsYfDpuOijX1OTCik2MaSA2ahAVtpK8iTCphrAdqhl8Zr6Ur5qNmth4MNEL8FXYc9talm9Ftp5ctfQpKhlbRYGV69dTFe9wrMsqGpson1LT2ULgyYasmRUvvvZ/bTz0HDBSehgVk2m1KATJ/waU0ravKJ9WCJDWW5At3oIVcaGfDgmG8w6KDv1f4nuCC4CLgIuAkERmCyYGCXC3nWtiJWB1lC2vtG4QFm83cxe7qKa1cGsQFnUMcFsXnN8U7F4XhMdtaSZmpP5cFbALPz859WOUWu6l5KZERrd8hSlOREYFLO3Pzs0ZZYGbz8umecna4uxDcyK9z4e8qpXyXB25sDsw7SU8DILYGwNw/V0wKqpZG0OvJtwVgezQavJ8ND6px//P1E+xq6Oi4CLQEwi4MBsTAZiCrvhwOwUBtc1HSkCDsxGCtPsrfTktl30D9+8k2w+WvpZIUFxsTpmFGrZdxT7AMxi6ZdZpkUtKwdVFLV0b9mCZF8GjVUZeP1mTW9ZOXSGoei4D0YzDGY/8tgIe8uW3hczfqaFwepF9fSFNx1DNcuPVVVHqpK0JdNBPcOFycc27O6lrfv6KcVjY1oWjLKCdtTYB5PMFCcxK8g47INZqGQBZiMVXS2bHR+baja8tclMAOagbKSRc5VcBFwEXASmNAJTDmcLFI4lwFncCOWVQpsDgbNiY4AVNvptQ3VdNdXwK68o7wJvhUoNQ725cxqpKVlNC9uSWUB7VHsDtbGStkUDtnMPvUA1B3ao9mFd9O37n1Jw1raSptxBu/N8LxFYdV2t+ldX/Urbyuag3tuuJ0PF7wm+HxRlKerZrBAK+zhzUFb6ciMVJnYTRSzibsJZQNtaXwUtbehwVsCszcIAHy9YIQwMj9FfnnM6XXXeK8sdNre/i4CLwDRFwIHZaQr0DB7GgdkZDL47tIqAA7MV/kH4+2/cSYCzuBmEEsNW0uwF2sCeYo08UQBkDVIJ6PtCCVCvqQZMODt9almtVyXAWQX9oIrVknh5s41CoCp+cICumVQ6D8IKkJVefP/FMfqvF8u3VrBNvG64eCEBziYamhWcBZg9UDefuhmy6nD2pUOD9FLXEPUxgO2DhYE/UZVJkw3MpkZZLesnNlGTMv2zwmO988lHIv+lFMTUm8Xhf5Hb8IYiB8VL2tGorCuPy2nH7esi4CLgIuAiUH4EpgzOBlowTQTOBnvPKkuDAB/6PDBrXMMAZQFnG9jWoNG3NhBAezTD2mP41c/XYpQRBr6NXP/okV1UlxqgkZe20thAP136k0Nqu/ngttxRufzIKnrbkflAWeCqwNpqTvxVVVdjvTbrYFb1he8bqlg9G1xmHsqib6ZqVt0r+8lOvfuQfDhrA7OoJ3BWwKxYGIhwW7xsca88MOKN8c8/9dflDpvb30XARWCaIuDA7DQFegYP48DsDAbfHdq7dWL4URotcYGbNREAkAWYlWLCWT3BQSMrPABmpeDmEjeQtpVcJpSVfUZSOSA5rWpZfUQi+M0CHEIpay0Bfw5Qh4wODNPY8Gjg+EMl+9EnC9WrpX5gbBYGV52+gN7xuhWU4SzNKFUMZ/ctOoXGaurV7/v6R2mYJ3ICZfEexqOTE31JUUsveVahg1kA2TS/oJTFmOteaqK07X55czRfWRzIppZV75cOZr3dyvt6clC21E+fq+8i4CLgIjD1EVh35fX04PqNk3egor74EeGs7zebUInD1FUo20e5PWiev4Qa5yziB5i57su1U4FZPLS2XLpq/XssHcxKC6cua6WlrJrVy9KWJLXSEHV0v0iDz2xQ19fbnxvmV76lQe1xl0xKHH9yjqeGDSoArXUtbKVk8cOqMlSkqg3EkldVFeYriAeUlfMU1WwQdNXhrAlu9VjhPmrYvw+GzbCyMjD0EFDLivjhqvPOcKrZSfnkukZcBKY+Ag7MTn2MZ/oIDszO9Ai44zswW8GfAVHL6qcIT1gUM+usCWZlHxugRRu2TLaimp0RtWxu6mRVveZi4CXoUMDPBmFtilmuO8ZWBZLcy1NyFs66AGWnwsLglDnV9NkLl1DTyauzp9FT20YvpZuUChovJAfe2jlIG9nCQC+7Dw3lf8J5kpBitcZg74gCslLSvresaXuQGuyn7h1bVFK0KMWqlpUdrUnAwlstRzXroGyUEXN1XARcBFwEZiYCkwVnxSe9+FmUBmeD2gO0bWAwCzhrFlxD6xjAVrHqslpLAiY2BlIfdgZScE8F39LXHjM3+14Dv7e01bMXaBo8QHUvPUUZvh6jfOD+3bTxQGrSE4HZVLP6+dU2NygVLKwKzGIFs36lfGuDeEFZdFFUs2JhYBt3gbNBdbxbQg/MAvAG3SOLWha1HZgt/hfrargIxCUCOw9537+uVG4Els3xknC64iIwUxFwYHamIj/FxzXVsnI4LK/CE3zJOCvvwy+2rTFYLSGAFjebYV60gLN/l4m+7H1KwhBiaaCDQ/WzyVcN4AqACygrJdXng05DGTrZatkHH9lI6666Xh3239Y20ilzq6n17Nep3wdbFtPO4WqlkJWyf2CUHn2pm/oZumKCJ7YVBxnAjvr1RtjaAMm9RtneQE/yBQuD7GkbqqMDzz+hDuEJ64uoV4PUstLJaVbNpjbfNyUfL9eoi4CLgIuAi8DkRKBctaf5MLF4ryLAWV81a2srp6QlmnvsmrwqXq6xnEQScLaWFbQAtGJjIDuIalagLN5f0dFAK3xgC7Vsg2YXteDQ82rX9MG99MQzO+gDD3Sr3+U6N1n2EGFwNtnuT1rN+PAp2zxp9eAoOKusDeyWWsXHbWpr3FS1Ns/CwDya5341roCrqGBtz/bxzL+L78eQPAx1kzUM6P3PhK6WlfadncHUjqtr3UVgsiLwYmffZDXl2olpBI6c2xLTnrluHS4RcGC2Qkf6b7/+E9rAVgYoJk6DOhaKWfWfvzEMzMI7C6WVPdHmN9fRzu7hwKgtGe+lv0g/M/NRtYJEXymr9a4Azhp32mMpTuylvZceHMm3QfBh5GSpZWWSJUoiZEq+YmVS9SG55lU0uuxEBWT39HmWCgCyA6x8HeB+bt0/kPUuwzZMBnrZymCA6+ggFsvt0r7HGdodg9xWK1kLA1bKQjGrPkMRwKwHvaUt2+RLmfKV/tlQAuXSLA3Ef6/0g7k9XARcBFwEXASmKwL6Q8hSj1k6lJUjFIezNlWotyQ/d23LU80CTtp8/PnSBUDb5Ktf8bOUBfOaVBIwvQicPXZOvq1B09BBSu54msY696nqtz09QLc+NZBVzeK9ciE32ji5PUGfXFNTMBRQykIxmy06nC0GZn0bJXg/6GC71PGeyvqPJJbSI4lloYc4ZVELPbajm5o5SZut4J4L99b7+YF4kvM2SMH7GPZBbZWSbLvi3DPounWFCcim8lxd2y4CLgKlR8CB2dJjNtv2cGB2to1Y5fXXgdnKG1N1Rq98/5cDE34BzEpRYI5fUFiKYlbZHEApCoWA5vHZwYra049oZzA7FAhnAWUBZ2NRDAhoT0plwFoNAJpQFuckdgb6+T3VlaGPPJEq+5TNhF+rFtTRDW85kapbW/jVTqP1HTTa0KGgLOAsoCxeUjbuyI/7IJJ/9Q5TmpfWKX9ZjZVCNavOR1fLSkNcL81etrAw0EuYnYFnOQAFsg5e9SWL/sEnqppV7UcLsYOy0eLkarkIuAi4CMQhAhOBsxOHsv4ZKw/ZYPWmCWZNKCtxU3B2Lvxm5RqHS5V/sfL/AYytM2Ae3mtnT9l2VsaiYKULCsDsCQuaszYGuB9L+/clS7tz1+Tx/h46/4vr1T5y7zCVqlmxMdA/L56FBF4BilkBsvpOMYazX2bVbFABlJ3D98A/3riXFrV5Y2YWwNgRfkgOMOt50eYsH5Bk13y+jNVMED48fMN74/Bn6PrgIuAiEBIBB2Yr/+PhwGzlj3Hcz9CB2biP0AT6942fPULf5BeKSmag3RziPR3MSvP9DPEWtNerm8SgAigLOIvyzN4+6h3OT3QVG7Vs9gRyXrBBvrCqKlSvAqD9O2cblJVms3YG/htv/HUuwdYEhkvtovuhiurlc+d30GmrVlL1wuWUyDD4Zah5sOVI2rC3Pw/IyjF1MAsoO8QvlOHBHDQWQDvGsDbNEwhTLeuHgzpfeLLgVAJVs7qFQaiPrEyCIxJWowdREoHJBHWi4+D2cxFwEXARcBGY/giUAhWje8qGnUcR1Wzecn082AyGuLA0UJw34NJmglmPZyaohSGsWQD3zj9+noJ/LXX5yswl4z3UQN69QKbrAH3rzvV0x/PeCiZztU25I2gmArOBWRxDWRRgeb+uFrYBWa1DiWq74rTcPpe7f5BqFlB21eIW2tkzrMBsM6ucTdWsgFgBs+iLDmdNMCtQFvXeeeFaeudFwVC43PNy+7sIuAiUHwEHZsuPYdxbcGA27iNU+f1zYLYCx/jdX/kRPb7VszFAMeGsmbxrgAHeAEPW4zkr8BAvtYJCwyyilpX3AWUBZ/USK7WsdMxfgh+alIrrZpOBcf0Mq0jxCiq6ncH3t6fp+9tzHrQT/TiJylMmp6vm19LnzmunqtYOqj02l/Tr2ZEm2tCZU8nqxxMwq0NZbNfBLH5XHsPpcRrhMfTC44232AX07t5K6eEB66kUqGZNX9kJKmKjxK1YIjAHZaNE0dVxEXARcBGIZwSiwNnJgbLqSgiqGBwIDcwWW37f0LGQk4EtVMv0bfxWB7MCZXFgE8yqB6d8w3bSshZqY+uoFl7dtJgVtQJoFZjNDPGD2jEa3fWSet3+3LCCs1Opmi2wMdCjxn1G4i9RGEdSMqvzzLdwiMsn0lTNCpRF/x5hH/9HXva8fXXVbBWfT62fWFcHs6gnlgY6mNWhrJy3U83G5RPg+uEiYI+AA7OV/8lwYLbyxzjuZ+jAbNxHqMT+Pf7CTnr3V39s3Qs+sriB1MGsQFnsADCLYoOzulpWGtctDeKnls2FYJwnMQVryCwRApzNpNKhUBa7iZ3BZFkYiFpWX875+UuX0mq2MsDcsXrZsdTdvIS6Eo20mz1j9/Szz63hu9o/kqZt+wfJhLLoL5SxsDNAybA/BaAzlLJQBZslNdRPfXu2BX7qTNVsIfCeoI9sxM95EJx1UDZiAF01FwEXAReBGEcgFM4aySnLPo1EOBxUatAweKt1QMFZfqmi+pmDtEj8VcOQVbcUqmaQ1+jbGHj1c6rc5ewvu3xuvpoWkPbkpjQtTXorlUafWk9jvd1qv0vv7FLvmQ94y42PqGaD1LLqnoLvmWoa6qiqtkQVbAmxLfc8StlfV83qUBZt/IjVsrtYNYuiq2YBZXFvjWKCWVHNCpi1QVns51SzpYySq+siMP0RcGB2+mM+3Ud0YHa6I+6OZ0bAgdkK+0yYalnz9ABnAWZHkTDKsCIQMKtu+tnSAC8pNjCLbQJnY6mW5f4phadKSlW8ALim+YV/kWHYyyDMimP/X70F2Bl85E8peqo7WtthRzeXIF75ika65pULqHbFSrVbb+NCOlDlZYoUMKu3B0jbz2P5xAudyorCXPI/yttSPN4CZ7GvZwlb2PdD2zYWCRQSxmkKW1tSrlA7g+LjUKyGeX66DUSxfd12FwEXARcBF4F4RyAIzkZSY5ZyakXAbFU17gGCLQzMQ805elXh0Xn3umRNgcesgFlRyeo72sAserGwKUknL2iker6Hq+/bS9XpYRrr66Hv3PME3bapd9ITgV1+ZBW97Ugv6Zd+HwQYO84Pd3EPUcXWC4Cy2I6fSyoxhLMCZk0oi/PSwSx+h2pWV8vKue/oHMwLA1SzKX4gHgRlUdmB2ZI+Oa6yi8C0R8CB2WkP+bQf0IHZaQ+5O6ARAQdmK+gj8fAzL9G7vvwDqjV8ycxTrGKYlrbYFehgFvsInDVtDMz20of20Ss7/xS/SCrv2Gg2A0oFy5MNZA0eGx5VcFYvgLQ6rN24f5T++dHyvWULEn7BwuCcNnVogNmhuStooGEejeCmnidCfaNp2mzc9PewFcWL+wZoz75+q8cdoCzgrF5sYDbMwiB/X08VK4C2YOCn0M4Ax9JVsw7Kxu/PzvXIRcBFwEWg3Aisu/J6enB97kHhpEPZ/5+9MwGwrKrO9ap5nnoeaHqgG1CmRhAcgoA2qIADMU9RJl8S4zwmLxgT9UUTH5ooGJwS8QlETOLLMzjhBESQp6EZZB4auoEe6bHmeXrr3+esW+vuu88dqupW3apaO7lW3Xv22WefdW7R63zn3//CBHMWAItUrvm2NNWs2gnK2ypWzco5oFBYFRcDC3nMYjcfzGIGAIBL66tpDcPA5Q1VVNXfQdUD0bL64eefoi3/9JT7fbotDd6+sYoue1G9g7BjgVU2lfUThbBwfoCzfuG0bPFzlgYFxDjfazGVfo8uO51WrlmTMcQ//Pq5tM+gmm1rZLWwN38fzEI126dswkLPs7GS6Wvv+30647ijpzJ129ciYBEoUgQMzBYpsCU0rIHZEroYC3QqBmbn0YW/5K9vIsDZ1iUNiWc1yorKMoayK5Y1UGfvsFt2Jc0Hs/gccPakVc2u6NcY/Fdj+1n9OwoiDB98wQ3ze+V76eiydO/ZWQlxoVCWgacTxvANlLvR6R2g8ZFkqPvJB0dYLTu5IlYSj2DBL4ay8Jctr2+ksZUbqHPFi1PhA5w9zBBWg9ldh/tp15F+16ernX864poecYBZvLTS1AezuSwM9IhQIefy7GU5TVEvu5yLLN0s6sFscIuARcAiYBGY8QhIIczp85X1TyHZZzY6JpKC7IW//BFDcBagsgJWUqpAFnxna9hHFsrZ6vinjNVcV0knxtZSgH6ChhsYeq5rraMWBoJLxrsdmB3Zv4vGB/ropvsP8etwlL9s+6n76cPtyV7AH55fH9y1oqaKyrzisuhYwQrhfOGs65enXcRk55/Pfs+PNdJzY0101+hKOp0L3R6/tIGa+TykSeEved/KOfEI58c1DNwb+frppsGsWBl0ce42zA/XQw15+UDfEL3/ja90L2sWAYtA6UXAwGzpXZPpnpGB2emOqI1XaAQMzBYasRLuv+5tn3Wzq+TkvbGlNjjT/l5Wg3ISuJaT/vo4mezkz7oY0gqYddA1XuUOdeJKHuuoQPVgHOAIJ5sd/AIglAYwC0CLNluQNl9fWfGLdZNVYBZvhzrDBbD+9blR+rfnpm5hECr4de0VpzGUjcB6e8taGq6Kb4jifL6bAev9+7rcdg1l8b6X/WdxbR2YVZKMFJhV0NYHs7ktDCa+TvmBWcRnauA6658aD/3Lm66ms88MLB0t4b9Rm5pFwCJgEbAI5BcB+K6fd8XHC3ETyG/gVK8sYDZ+SOtSgwLBoW9pgNU2aACzAmcFzMpUAGjdi/M3/HzFpkVOian1ugJmsQ/g7Mr2pxyYLattoLK6errh54/QTQ92Tr9q9pgqeju/dHOwuTb9M7090dogVpemK5EFghd4+aah+50jK+n58UZ6nqEsWhMrmVe31tKxscABcBYvAbPrFkc52fol9XSwa5B+/cQB934F+wID0OIFMCtAVqYIxSzqN/htiOsDDPNL2uPX//k0nJUNYRGwCEx3BAzMTndES288A7Old00W2owMzM6TKw6lLBSz0kJwVqAs+izhJHJpnGDKPh2cZC4OAF0kqSEw28Mq0x5ONJFwajCrQ7pytJPOqthLGyrDkLMY4Z8UlMVEPDA7xorZEVbO+u3iX6XbHEzmHEIFv/7unFY6eRkvUVxzDI20LKUOBrN+G2Tw+r2HXkipZPX2QQbkg2JZoOCsgFn0FRsADWbztTCIjhV5zEbjZAGvRbYz+OQHLiW8rFkELAIWAYvA/I3AZ79yM+FVvBaGs+mKzymoZnn4cgV5Bc76YFafH+Dsy1+81EFCv52wtDH10frB3VRTy0VC8S9zXzeN7txGW2543r0X1WzWYmoFBNVXzSapZfWQKTgbhLH+wWcOzt4+uJwqGZZDHeu31bEI4bTVUTFctBru+8i+blraPGHbgM+f2N1JT+yJHpRLA5itYmheF7AUO9wzlNbXh7LYaKrZAr6U1tUiMIMRMDA7g8GepUMZmJ2lwNthUxEwMDtPvgxiY6BPR8NZeIwiCdTtRZsWp9728fbdL/RQPd8ILOXEFD91O3N9W9p7gbL4MAnMjrLvAdS3UmRsQ2UPbanZX1RIm2+xr3G2BRjp8zxiPTCLc/P9ZqfDwgDjilpWlhpedgIX/Dozukkob2img6tPoe6yWhpQBdgAZbv4Ot294wgdYYWz39LArGzka6DBLD4WGwB4mhViYeD2dcBVAG8ORWyR7AwMys6T/2jZaVgELAIWgTwiUFw4mwlmJ2wM9OQmB2dDxb0qWREbBLOOTbL/LIPZVn4gDjC7Mv4pMxEwW1MZFXJdPHyYasZ4JRRDWcDZmx7sSFPNYj+xhMgj1IldoJgV1awU/ErqLPYG7txh4VCZCZjD+xYPzgLGot0+tML9rKvOLFSGeDfHK8lWNtXQqhjEHmSg+uvtR+jc45akTfsuVsseYkGDbsPDbG/A49Tyq4GVtlV8jaRpO4MQlEW/lx63hm78H2+fyqWyfS0CFoEiRODpg+kPYYpwCBtyliOwaenEA7lZnoodfoFGwMDsPLjwvlpWnxLgbF1DNUEt6zetmt3FULZfFYhawjcDALTStGp2iIEeLAykhcCsQFn0ETAr/QFo0aYd0joFZwwOA8XN5PhBKIuNUHUoDzjpL3AWnrIAs1NtfsEvjHf7+06kikXLeTliZGOwv+Fo2snevboByj5+oIeO8E1CCMzC76yP7Qz8NsgQF9tS9Smc2JWhOa7jjoniKrnOKyr2NQFjc/vMTr+dwavOOIluu+nzuaZq2y0CFgGLgEVgHkVgyxVX0V1bHynSGaXD2SR/1MlYGmAsv7YVVLOV7E0Kj1nXYiArJwcoCzgrTQNagFmBsrK9un0PLe7Zw/lDI43399K5X9rqNk13IbC/Pb2GTlpUQbrgl5t+bNUQgtBYWYPtZRWZIDR4MQu0jcj2hdgx2kjPjjSkYKzu64NZQO4lDGOlaTB7F0PZQ5x3wVf21DVRcVY0DWbH8BCcoSxaNStmq2N/WoBZAbRiZ5AEZWVcU80W6c/chrUITCEC2w4YmJ1C+ObErscuMzA7Jy7UPJ6kgdl5cHHf8hf/RPc+HRXfCjUsqwpVFobHLLxmRS3r76vVswJmfSiLfXwwO8IGtXqV+4CqRusfY11FD51Xu999fMxU7A48aDhxHF52ryCtD2XlBgyqjpFBwOZI4aEb+gDOfuKe/ikX/MK4fmGOL75+JZ2yIvIErly9gYYbF1F77XKnlj2ggPrj+3uoK1Y9P7M/bA3hCoDFbQRxx4sLTuCmwbXUDeA4dex8mkYG8rWYiO0LVGBmA8wOPXnrPPiLtVOwCFgELAIWgUIjUH38BYXukn//sglwmFy4qnDVbP3ilRlg1v1bz2C2rrE6mJv5YFZOAoD2tccvpcZY7Yl8bIj/fV/awLlc/07XbXjvc3Tjb/fQTb9rp1CB0fwDktkTitnLXlxP5fEy/SCI9XeLk8GZhLNQxwLKPsev0LoeePeiaJdugLKAs7rBzkDUsvI5PGbhL4smYFZDWXyuwazsB0BbxYC6iwGveMpGD7sz23svegV96PfPmsqlsn0tAhaBaY6AgdlpDmgJDmdgtgQvygKbkoHZeXDBW17+R1TT1MKv1uDZ1HHSLi2yBp1IBgFm+wdH6XBHppeq7CPqWdgZQCmLmwHdBMxi3JGAUnWIAeOwWpKv90V3mc0xrKQFpC0c0ObwO40PCJA4xr64aH4lYfjJDvckx+CRI6P0l/dlqlEL/fr4alkA2S9dvCE9nms2U3/9IvdZJ6tkOxnGovAEXtL2tA8EC0kAzAqQ1YOKkkM+g4VB155n8p6+WBjoHXL6zKLzNNoZuGJfZ1ixr7wvmnW0CFgELALzKAJ3bo2LgRXlnCLVbNjGQB+wMDhbv3gFNSzJ9DKt4AfAVQxYq2JlpRxBbAz8U8QqpGq2Lzj96FZa0zqxmgkwEWDj3njcAAAgAElEQVS2cbCD6jv30Mg+9phl8Pint+6lh/b1T7tq9h3H1tDlbL1UXpWHPYEHHvOHs4VbGvhWBYgfAKzzxPeC6YNZXy0r3QFmv8+e/n6Dahbq2e/fs8s99PbzqwoGsDrvxuokPCAfGR6NhAJZXKCGuc+R3bvoyK++XpRvuQ1qEbAITC4CBmYnF7e5tJeB2bl0tebnXA3MzvHrevcDT9GF7/+CO4vmVZnFopyPWaCAhABa2BkM8PIrbWOAGwbdpKLwpjXNtJgVHtKwPAsNYPa5g33OTzbU8gWzel9A2vMZ0uYuGpYvlOXkfIShrL+mMD4ooCzgbFL7xL0D9Gh7OpAu9KsTUq9c/fJ6evlrJ5QRo41LaDe10HMMYetjRQcq+T64tytNWePbGcBDGK2X9xtF8u9dijTVLPc7/MyDBUw/Uy3rdpYiYNlGmqYiYOYrW8Dlsq4WAYuARWCeRqDYfrNlFbmBY6GWBkuPOzXtapSxlUGVUmwCzsLeAE2DWWc5xP+WS27VwjAQQPAVayc8/wFlRelZ37WX6vZvd+Pc+JtddNMDR9zvskpnOrxmMd4tr46W/MNrtqq+JhnSBnLC6YSzzi+WjyG+sf5XHgA2SlXS4WwloHhsv4Dt6OUX6wIER9GvA7E91DCDVd1OXNlEdz62PwPKSp9G9qeFv/8YBAHevuPee9lncGDYgd4jz++gv/jjN/HrzfP0r9hOyyIw9yJgYHbuXbNCZ2xgttCIWf/pjoCB2emO6AyPBygLOItWUV3LyoyowIE0QFnA2VBDAogtTQxnszVUr0WxilCxBOxXyzcYHexjiqVaFQGP1smAWQyD13q2OkAL+9EWCGUxUADMjrBNwSgnxEntX7YPE15TbVLwS6okn7S4gq5+eQNVrzqKX2sIULa3bhHt7R6mHk7oexmwou1j2LqvayA1dbnZ2La3h0ahRlZF3fA7rituBLSFgwazUMpCMZtvC6llZd+ZsDMwKJvvlbJ+FgGLgEVg/kegeHA29ppVeUIwexJlbZ6h9lWzsDEQECtD4H0Fg85FnI/Jw3D/YffaeAn9mpZap5oVtayM0TDUSY3DkQ/iWNcR+vbtT9JN9x6cdtXsJesr6JL16QA7CGkTHtbnDWfddUi/As/CN5Zfd8RFvEKKWJfquXRvYl/dD3FDvBHf4ZFxl7f6+S0UyshBRYCAMYfj1WKAtNW8rYNtCXRrqI9i0ts3QoddUTA81M78koRUswJlhwf6qXv/Pvq9lxxPt37tqjy/YdbNImARKHYEDMwWO8KzP76B2dm/Bgt9BgZm5/A3QKtl5TR8SwO9nEr6iN+ogLtaKC6kCIUXD4GyIU8uBwA56YSnLH6XBBRJroa0SHDhMxtqrlyXl7giGcYYLpFW21A0DIAWzSlpnRoze8M5OqWsNA/MzpSFQVAt+4oGApwFlK3YtJnGmpY4KNsf2z7sj/1lBczqM+3qH6G9XAjMAVgVIwGzqWutAC2W2xVsYeD8gqM4h5Z4FtvOwIp95fqG23aLgEXAIrDwIlCUYmDKZzZnRDmXmAB/+D2VZAR3FTiLFUkVnpep7ABY2MSFv2oD+RgegC9nICsNqlmtlpXPl/fy8nqGsmPd7fhXm17z1ahgmqhm5cFwzvPL0UFUs343AFq0mhYuZJoAZl0+kW9BsLgYGECsQFn/mCE464NZ7OPKl/KcAGaRdyI3ldaoVpbhc6xUgqq2TVmB6ePuPNxH65dGXrN+2767y+W8EDS440L5rHJkDWZhczCoH67HYBb7/YTB7FkMaK1ZBCwCsx8BA7Ozfw2KPQMDs8WOsI2fKwIGZnNFqIS3a7WsnqbAWd/GwCWGHgWNYBsn0XWVGXBWoCzGFoWBHEegLN5Lsa9UgSk1GQBW3Gwkecyiq17VJVA2SmbT/XD1OW6q7qXXVL9A68q7E69QBpSVngrOzoSFAQ4ratktl11F8Mk7aUklffH3j6WKxmZ+NdHI6hc7IAswK01Usz6YPdQ9RIPctydeYgc4K7H3wWwUR77u8DdjZcjBbb/L+xvt9hsLA3WBtPmBWYDdLKZqWWZkvrJ5Xy7raBGwCFgEFkwEpt9vNlbLFhDB5CJh0SAa3OI9LA1QGCqtqXwEnrPIl2o5H/Ph7PKWGl6dNLEvVLMvX9uasjkQ6//G0V5q7trjDjHOxT1v3Lqfbrxz+8yoZuOiYBX8s7yygipquL6ByyPCq5vKKivZ1je8ogvzv3ME3rxldBtD2SyMNzpXz67AFSYLXEtkIjikP54Gs4CyAm2XsSWB3/bzCqZBftAdArP7D/fT/iP9BAAvYFb214AWMRnjPE5DWfTr2r+Xi7JG9QTMzqCAP0brahEocgQMzBY5wCUwvIHZErgIC3wKBmbn8Beg9az3MHCLwZmnHoXfrNgYhICsnLaAWbxvji0NNJCVfrLMC8msVhnogl++wlUfA0XBIgWDvzAtUsxKsuxbIYRgL9S4spwfxwCcPbdqXxqkTYSy2CG+EcplYTBdBb9ELXvnPQ/TlsujpWnXXHICveSEyBMY13CsYTHtLmtNqWUldlDNCpgFjO1mpSx+ovX3DXNBieh3l/AzfIXXrI5ZdPMRQdFDO7bRUG8yyPb/FMZGldI4299JDuWyU9zyFPR3LZ8/O7MwyCdK1sciYBGwCCzMCEyfpUHhUNZFPE01m/saNK9YTc0rjgp2hIpWgzwNZ321LMBhI/vSnsrFqdpYXVurFLgtZYPUyi/X+MHq2N7t9OovbXVvp1s1C0uDdxwXqXgdhJUWg9hyBrRpn4svfSRdjULowdkIxhL9amRVWpxc7umtovIDqeFsCMzKdihhYWOg4SxyXOSfsN7CS5oPZgXKYvvK1nRY3sPFcXfsjnIsAHbtI+zPtY+tDka8QrroA39Z3br+69v+rvbeImARmIUIGJidhaDP8CENzM5wwO1wGREwMDtHvxR3bn2ELnjv1VTd0JI6g5QXKC8/r6iuprbVqzIUsv7parUCVLMNjTUZT/nFxkCrZGUcUcvifQjMOhDL/wMwK0mwqBgE0iKHx+8hf1oNGTEPQNmkJurZcyr20NqxjuQry+NktTCIJ/iX9w4S4OxUm6+WvezF9XT5iQ1UuXw1VcY3aT2VzfTUEPvNlpfz8rkJnQdUs88c6qWn9vdQd1zgS+ajwax8NsjgdnhoJEMNAiB7+NlteZ/KGJSyuSQq7qLnVsP6Km3sllISJYhlzMIg70tlHS0CFgGLwIKNQDY4G63owD846X6jmZkw8opk5WbW4E4DnHUQj8Gg3wTOiloWQBbFWtFaOF87eVWz+x1gVgBtLY3Q8vI+B2X5KS2NPvco3XjvgTSvWf2QeCpfHEDZS4+fsFdIjcXHlUUylVwcDLYFwRaraWF/cCeDWB/GhvbJBWgFvurCXy5ViQdDrlnJeZb7LF6VhW3VcY0ExFi3VrYyqI7n38kPwzsZvkpDITZtdQALg17OwaTV+OroeMMgj9PP/rRDg0NUyfAaLzTxl9XHN9XsVL6htq9FYPoiYGB2+mJZqiMZmC3VK7Nw5mVgdo5e6y1XfoLuYjjbsHRN8AzGRoeprmUJVdXWkSs0kVAATMAsfkKtgZuDijgJlSV3dazMkCTWP5gGs1EfBWDVzRBUtr6XLPrjVgjLypy6IXBfJOPlgrIyL8BdqEtWj3XSK8d30dHjnZnx4QNlWBjExxZgCCD7ia3RcrKptJBa9uf/bYkbElAWr57qVurl12FO1g/HSX1VvLyvgW9Y/uv5dgdm/SZgVir+RkW/2EeWi4b5VYD3PXp/3qeBgl7ZCn5NDIS7mhw+v1nsKPSEtJrWoGzel8o6WgQsAhaBBR+B6uMvSMUgBWMDUQkvm5+kWlaNn8vSwJ/KUZvPTPtILAxCF7KhoZpWs5epAFn0wcPbFlbKLuFtSxurU7sB0K6oK6M11UNUMTLorAzGXniWk6wKes1XHnb9/CKkU/3yZMBZ0E6V7AHKAs6G2m/oKNpFze6F8/OLnYX2EbGtXrnl93PfAW4hAyUNZmU/dK/kmGqlrGxrYLiKAmA+lMV2DWZ9KIvtPpgFkMXDc7SR4RH3QkOxN8DZ0eFBV/hLNwOzU/2G2v4WgemJgIHZ6YljKY9iYLaUr87CmJuB2Tl4naGWPY/BLFpVfXOaalZOZ3Son6obW6mGXy7xA3gNAFrcqADEYhmdU616ilQAM3xWzcC2RvmbuaSXs1koYXUTkCpK2dR8coBZ+MwKmK2If8EPjAcoC3uFXK2aE2uoHtC0b+0ahrMa0o4MsgXAAKsePBirxweULYpa9oR6uuIli6m8ps4dbmD18dS36OjUobexP5luPVwU4rF93XTAVfhNv9HoZZsDWBfoBjALQDvCNzlycwKlbL4WBtl8ZTPiP0m1bK7reNt3Pk8A2tYsAhYBi4BFwCKQKwLwm4V/ez4tw1LHFZeapFpWDjgF1axvYZB2DjytaoaCKxanF5mCWhbL8es5L1vbFuUS0pbWV9Pi+kpqYqBY1X2QqoZ7aLzzMN14zwt04107Ul6z6F917OvzCVnOPj95U5RnuqbUsvKRtjQAjEWTn3rwYTxY1smbd2QRQEeHYRFAYGaimMV1lhxId0M+6a/Okn0k99SWCQCzIzwnrZSV8SACWMnF2rSFgT4WrAyQe6NpKIv3QwNDfA7pD7b7Ow7waq5h5U0cjWZ2Bjm/gtbBIlD0CDy5v6vox7ADzG4Ejl8erUKxZhGYrQgYmJ2tyE/huBrMYhhfNQu17Dj7g1ZU11L9ohUZR0pB2kqoZFkhG8NMH8wiscWTfMdJY6sBwFlR1PpqWTkQktyJohfRp0iofYgrallsT8rFK7HEj4GrP55/UhrKZhvvhNpeOqX9KVo2eCTxCnz3mSH6l2cmlqtN9lKF1LK/uHIDVS1ZGg3ZvISOtK1PeeziI62axfsH90SKX6g1utQSOXzWz3B5gD/TVgECZrEdcHawpytvC4PphrLuuodk0lkC+skPXkqf+uBlkw257WcRsAhYBCwCCzACn7nuO/TZ627O78xTq3mmrpZNHXAScLZ11Zp0CwOPD+NheiXnXA21bDNVG3m4ilpWjvui5Y2pKQDKolAr2sqmKqoa6qHq4d5o+2AfnfNXP3K/yr+zBcUsS2TTVLMB39RHWzbSyHgZ3Tke9tfVQyfBWQ1l0d/3iHX5hioABgAbqWvT8S1ySp1PRqu5IABAbNMFAJK3AgGPxkmqn8cubaxK+cr6IUIBsFG2RhCVrN7ug9mh3g5+gB6v8HLfpYrUPE01m9+ftfWyCBQzAo/uC6zALOYBbewZj8CJKyfsIWf84HZAiwBHwMDsHPwaiI2BTF2rZrEMfYyXsElrWrEu8Qzr4J3FCb80DWYFymKbgFnpB7VBPd8kCJhNLRuL81/kr0hyfVWCVkJoKBsl2ZnLzvwx3PwCNz8+lE0ar4nPtZmVJmhLBw67nye0b0v9jvfTZWGAsXxv2atfXk+nrGmm2jVc9KumnoaXrafu8kgJI8vzDik7A3jLQjErDapZVAKW1sOKWaeOVZ5oGsyi3/P335N4/dM3oHJyDluC1A55WBjEJxVSrCRNSEB2nhO2bhYBi4BFwCJgEUhFAKpZqGfzag7O5l6J48byk6CEAxRqaXDMy16ZKNYVKCuHWtYaKWOhksVLmtgZaCiLbY3V5dRaOUq1A+14SkvU10k33PUs3XBnEVWzno0BgOxjzZviEJbR4e7BoF2AH04fzvpQVvqLnUEIwKY8ZrmzzkM0fBUoi/FCYBYQFn0Au0X5ir5Q0LqfnDP1cc425PnSVsQetlDE9rSHLbEG+iY+Hx0aoP6O/ZnfKgVoTTWb11+1dbIIFC0CBmaLFtqSGdjAbMlcigU7EQOzc+zS+2pZmb6oZsfYo0r7g2o7A32qlVDLcnLvvM1ilYCAWQ1lsU/ongR9YC/g+8IiXdUiSQ1XBcw6T1kv7v5+kQ9YeHmhBrQhKIuhfdCroax/yQFpBdBOl4WBr5Y9aXEFXf2KBkdg608+jcnw0dTFUHaEVRG6Yd47GcA+e7iPXuCbGN0AZcXSYJRVKf2xjcEoVxDGy513bGWA3/dve8IpZvOCo1ItOZ+/hzwsDDBMoWpZAdn5TMH6WAQsAhYBi4BFQEegoKJWuQqCBUOb8j9CZpTZo0DVbNtRa2jRmgkrIxkQEFA/NMfnopoVGwPpCzD74mWNKaWsnhTg7IqRQwxlu6gMxcB4fmf/z5+7LkVRzR5bTY82b6SDNYvpQM2itPgIKO3m4ll+IdNQqAFEBzmvSYKyLt/hjUmWBnI8l4vgFStnAWY1kNXHFrUxPhMoi9/hP+uraV0fBrRDI6PU761mkjEHOUeDhcFYnJ/pYwmYTYSyqjPsDX7+rb+ms15yvP3BWwQsArMUAQOzsxT4GTysgdkZDLYdKhgBA7Nz7Ivhq2Vl+lDNVtU1pallsS0EZgFlnXdsvEwOoBNwFjcDsDUQUCtjazDrinTFwBS3Jb4qNqR8FZAqhR2S3NzEziAblJU5Rb6zkc0BAK5OwqOEfUKBmw3K6svfzIraI/sP0d13P0Q7d74wpW9Ghlr2lY20+egWKq9voKp1nFw3tgXBLA76NPvM3r+7M+ifJpYGUGgMcZEvaQJnBcwOdHfRgaefdJujG5KQG9vEKeatls0TyuJweQHheApmYTClr5vtbBGwCFgELAIcgXyX52d4zU4qepmgNho3f89aH86GoKxMbTV7zaLoF5qoRZEDbVzaQEvYxgCtUnmo1vC29cN7qWx0KFIH87Zv37HNvfS/uVP1mj33Vae6Y5/60hPpUN9QMJI6R8sHzgKMQjmbDcxiG/qEmp8T6j5JRcYEzGooK/vVKZUyPgOUxTUYZVUsbA581Sz6AMyiDgAeUms4izxtaDCKU3/7fi76lamqHR/lIq5jIzQ2HPX7q/ddQp98/9sn9S21nSwCFoGpR8DA7NRjWOojGJgt9Ss0/+dnYHaOXePqF70hccZ1bcs5AZyAddJR2xkIlMU2AbP43cFQ9jKDitb3c3X3GMjp8X+eihVvdQIc8ooN3aLIfYve5pS2WZSycj5SvMEdW80HvwqkFQXukqYJz7VslxpQtoXtGZxvWdwRcHYykNZXy56yso6+9OYNDGUbqawqunkaX76BjlQ0ud9xExC9ot93dQ04xWx/bFvgVxiGaraD1bTieSbnhRsAAbM7H9iadrpZ4Wzeatk8LQxwftnuprwLYRYGc+w/QjZdi4BFwCJQwhHIB876ucz0nE4EZcvK01fC5Br7mJezpUHcUOyrnIFqqK1gO4NmLuylbVOXNNU4tWwr5zBtsQ+t7FvPOd2K+nJiu9lUKx/opnM/9s/u/VRUswJjzz07grJosJrq5wfGh9hmqU89OMY2H5QmwVnkQE4J6x7uJj/glRQjpH5F9JLqEkh+F3pwjDgC9Ias8bVqVqAszgtg1nnRcgKHl259PUOp1UwazgqYTfOVjXcc5VVvAmP978DgYz/I9VWy7RYBi0CRImBgtkiBLaFhDcyW0MVYoFMxMDuHLnySjYF4zGK5E1f9ylAqogAYCoFpKOsSZRTWUh6zVVx9FnDWb+hXHheUCIVL4GyGHYFLxqM9/G16HH0LAmuuJKWDX00Xat0kYQqOu7ixhlBRN1cTKIt+GszKfgC0bYPt9Kvb7qXHOrMrT7GPr5b94oVHEeCsNMDZodXH0ZH6FTQwkj4ebmZ2A7zy8rcOXvKnm/TsZ7Xs8wd6MsAsVLPD7Em778nH2cKgO+O0k+DstKtl4yPnC2fNwiDXN9S2WwQsAhYBi0AhEcimAp0etaw/G0BZTmCwqqRAOCuqWd9XFkcQwFjLD83xWtIYPdyVJmAW7zWcBZRt4P5NlePpYLavg2782YN0w22PT0o1+6bzTqfTXnZy8FK4GgDxFuQyOzv6U/1CeZ2Gs1JUSxfXSgKz/nNfH85mA7NJ3yGXX6kH834/AbMayqKPgFn87sNZDWbd8LFyFmC258iBVLEvgHwomvGqrGugoR5VCExNxFSzhfwXwPpaBKY3AgZmpzeepTiagdlSvCoLa04GZufQ9c5W9AunAX/Z9MbqT040YWfQ0NqWoSDQYBbqkWxL6KDg8C0O9LEiADuBWH172JDFQUbiyzuFVAzOCoGJrW+bkA3MNrDqBOrZWrZr8Jeg6eNqKCufj3pVfNd3bqcNXdtpsLOXHtjZQ//2/HgioA2qZS/eSGU1tW748qZWGquup6FFa6mLAWv3ULrCAmpZUcqG4CzG6GX4eqh7yClTtI8rYtd1sJ12P/JI4rda+w+7G4Xozif3X0G+Fgb+NzAkPVF9DMrmDr31sAhYBCwCFoHCIpBNNTt9almxMlBFxOJ/K8vKudBoAZYGS9aupeUb1weVnoCCjbGFgV/8a3XbxENfRAhwdnVTrYOy0lbVRf/Gl40OUzmDWbRzrvo/7mc+qtlLLzyTTtq0mk4+9iiXV+Hh8W7OQfyGKPgAFupZ2BuEwOwIA8pOfgDdOzjqVguFGjxkdUtajKMtDZzlVmFfl4zeqaMqWFvD+eSw9zAd89PWCBrO+mAWB0HO1t/ZRT2HI7uscnxPVKvgXFEU1/CfHertJPxEMzA7xYtqu1sEphABA7NTCN4c2dXA7By5UPN4mgZm59DFhY0B1LFo1Q0tGTPPBLNRl/rFy6kKyZ4rTJG+W019lbMnEEsAeMziFWpRUbBMOwPp60BpQjxzgVnxlQUo9DmhgFkk9nr+uFkJNdw4AMxKQ7862DR4/UNQFvuIarZt8AgBykItK61714HU7492jGdAWl8t+3fntNJLX/XS1D4CZeUDDWdFLavP6Tm2NNBtiFWxALZoR/iGx2+P/OKO1EcTS/l0nCJYLy0/tWz+Fgb+fLKpZs3CIOGPxT62CFgELAIWgSlHIAnOTh3MxurYjBmqfyudajYduuU6oRO3nBvs0ljHD5rjIq3oIHAWS++hmJWGFAf/7m9sq3c5D/xn0UQ1CygLODteWUM3/pxVs794NFE1e1rnfmpurqErX7KSlr3rXW4cjCYPyLsYpj5+KD0/CYFZ7Leve4D2dUZw0QewyLf6+QE1isOGvF81mM3uNxtZQrl5TgOYDV0I5DO+RYIPZt05xrYGPpiV/HWwp4/6OtppZDDTW7a8sorKY8srmYMGtGZnkOuvyLZbBIoTAQOzxYlrKY1qYLaUrsbCnIuB2Tly3e/+3TZ6w4evTZwtlJDjsDJQDfYFDUuWp30mwlbnF8tvahs4CVQJPzr71YD9gwLc4sYm5OEVLSFLr1eczcZAxpYbCLz34WykjI1uMDScTQKzUhzDnzf6oxAYWhKUxTbcHKyLVbL+GFDNDnX10oEXumn/vsgu4LFOou+VLydfLXvysmr6u3NbqGLxCqpcssL1hVIWcFY3gbNaLSvbtWpWQ1lsh6UBVLPSdtz7APW2R2qYUItiKKpkBrTsjZZXm6RaVsZOgrOmls0r+tbJImARsAhYBCYZAd/SYNpsDMoCNkn+v5VYnl6A3+yyDeto2Yb1aWcqFgb6Q+RLyHOiwqaRgSwYLHKlGs7nljVEsLaK3wughWq2ovugg7L8JJ7K+zvp7E9EnqW+ahZQ9rSuA3Tcpjaq44Fbz9tCreeflwZmsR/g7G72u8dPNAduvaf/+3sHaZBBZQ974Pfwap9QQ24DpgpLAh/QCpjNx7ZeLA2KBWah8BWhgJxHCMxiG4qBdR6JrBywj66HMMzxcsrZrg4a4JduITAr2wFo//zy19In3v2WSf412G4WAYvAZCNgYHaykZs7+xmYnTvXar7O1MDsHLmyF7zv83T3A0+y12sNJ/qZilYfzNY0tVANL5vP1gBY67k4VqraVdw5STWrlbUu8fX9CtTBNKDNpZaFwlXn8hrM+kkwDgE4ixD41gbYBgVJreeT69sjrGippaP4JU2Pg5uKRaxOWdtYQTVlmYXUyka4uvHhXbTz7q2099mDtG/HIfruYAsdrGvM8Jb9+9ctp5PboqVrNcedEoSyMocDrIJ97GC6+kS2iWq2vXc4owKxqGZ7j3TQjvseKOjbHBWKy7Xgb/JqWT0ZbbmAz3VF6IImbZ0tAhYBi4BFwCKQZwR81ezU1bJy4IBqlj3+/VaopYGGs9rCwB8XqtmjF9dTPS+v1zmMBrOyDwDtivoyaquIwGh5P8NAhsg33PZkmtesjtU1DXsdlIUfKhrg7KLXnhe0JBBrAw1mOweGqdMDsUlwFr6tWkkLwAqYiwbwiYf7+TguoT/2jevI5vkNya8b8kiMjeZAq1vBxfHxrAxktFGOW1fHQJrdlGwTMIv3UM0C0Ip6FiAfdgZ+Qw2J8dER+vgfvoE+/kdvzG/S1ssiYBGYtggYmJ22UJbsQAZmS/bSLJiJGZidI5e6+WX/PTVTVySgAhYEE4BWg9l8oCxUslDLVnFSj5YqshCvcteqWQ1kdbiyec5KPyTq2RxMxcLAvwwCZ7VaVvfB59WwXVCM2i8OFrq0jWxx0Mr2DYv51eJVMEb/Oo7Hal6+VxND52oaTQO0ZYM9VM6v8f5eGm0/QA8ymP3TW/dmqGUx1m1/dAyV1zfS+PAQja0+nsaXHK2u4cTs+vkGpHNglJ7jpX69SgErNyIoAvYsQ1vtoSZ7i2pWWxjk85V2atnUTaT45AmkVbB2imrZ1FxUdWWzMMjnClkfi4BFwCJgEZiOCKSAY7zUfzrGdGOkqWYTHmJO0tIgCcpGeQ6vbOL8Z9OyxpRdgZxTM+c4LTWRilaaK4bKytrmmnKqKhuj6qEeZ2lQxg9nz/nzf3Pdhrf91P2UWL2xsY8uKO90YLZhzUqqP3ollR93IpVterHrVx3bJMhPUc/2sS1BCMrKXPAwGQpZvw0MZ36GnAeANt/FPRjTWVHlYZtf6HdAg1nZF3kojiUWDICxaA4O8wsFWYdYKez75A71ZyqHtXoWBcCkRUV9eUWcCkLH//tmodO3/jGI7N4AACAASURBVBYBi8AUI2BgdooBnAO7G5idAxdpnk/RwOwcuMC/ZqXshayY9RsAbXlVtGRNwGw+UBb94S0LZayAWT02Ek1UBwZ41cuvMo+fXTWL/rghyFb/yVfLyjFE5YqiX6EGZSxuTJLsDPx90BdQ1u3Dk8J+LbiBUXBWoCz2xT1HZSzjraAxB2crGDGX9x7hGxr2duUbGiTKH/n2Vnrw2UMZatnLT26iy0+odxYGZU1tNL50HY3WpfsCA8gOxIUkulhZghubdlaZDHsBg5JkPxcF6+ybSOZxwyIKk/+6/bdZLQz8WKQKfmWFrgJnp+8ORywNzMJgDvxHx6ZoEbAIWATmSQTuvOdh2nL5VZElUq5FIgWds1LNZvv3dBKWBhtPPJZQbCrKowBj0ye+qKHa5TOwZdJWUMvq+cGyqhOA3Wr5PYqCodVVst0BjVDlWGR9deOt99GNP3swWATs1j/aTA0MZMcrq13sBqmS9tek22NJuABoOxhCPsg2T3gcnwRHAWVD/vhiZ6DDD8CJz5HrZIOtAkaLAWRlPknKWHyl4CkratpUDhuDWbz34WwIzKKfqGed4peVs6KS9b+Sppot6I/UOlsEpiUCv9s9UW9kWga0QUouAqcexctcrVkEZjECBmZnMfj5HlpsDJL6l1VUwjGW6tqWUGVgCZS/n0BZfB4Cs0jAAWZlyV/IS1bGzGZpgBsC3EokWRnI9qTz0sUu/D5YxicNNyzZAC2AbGN8U4J9cFzc0KBpOAulLOAsmgazchzczNR27sHaOmTQ9OBz7fSRm+4LqmV/ecUaJ0MuZzuJyjWb3BBDbZFiVgNZGfsg2xQMxmqLA1zBWDf4suHG5ABXQvbbof2H6e5f/ibfr5KbU8raYbrUsPkfnf7q/e+gT33wsgL2sK4WAYuARcAiYBGYWgQ+e93N9Nmv3jy1QUJ7O9VsbsufQi0NjjlhE+EVagJlZdtiXv0kTYNZ5DrIj2BlIGAW/RoqxqlutJfKeNXMOAPAV3/4Bre7qGa3XHYV3bn1YXrnORvpneedwINUUjnnPGjP160NzqmToSweLHcPsZcs+6uGmoDTbl4F1Md9dLGvkJ2BPKMeVCuJMK5YGxRLHRua+yjnfRr8RpZakZXB8MhoBpiF0niMLRqkaTibBGal7/BALw309NDoUGbOhz4GZqf/z9hGtAjkisDWnUdydbHtczwCZxy9aI6fgU1/rkfAwOwcuILaxkCmW8FKWVHLVlSzQqK+3iWNIf9ZfYoayuJzH8wCtLriXk4Ikq7QSAK0oUJgGrqGwCxGzmJR69QZUIGECj4gIa6NAaqcm7sB4f7YppsPZbFNg1m8B5xd31ZHi1hFnBYrNUGA2voyXvrHHrNYVob20a/8jB585oWUWlaWAJ6yso6+eMEqKqttoIoVDGPjCrsD9Uupayz9GHI8DWaHOKHvUN5ssDJA6+XPeuMiG7LfLd/5UUHf4IyCXwFPvIIGLKDzq844iW67KVP5XcAQ1tUiYBGwCFgELAKTikD18RdMar/sOzl/hFRekNh3EpYG5781c76hnAa5EpSzaGua69xPvRqplXMcrarF9sXVsXUA5zM3/fgeuvGnv8tQzb5zy4sdmC1jKFsW5z0dlS3UWTVRvwBAFit+gCBHY3L5Qk8YKOK4w6wuBZQFiAVYlYJd2CZ2BtFnE5FE0S1fkYocESuHiqmS1dcSYFaK5upcWIAtbAz0HEfZmsGvbzDAtQQAcke8PK4ctlx8DauUgKCnI4rhCBf8Gh0cjH4qUGt2BkX4U7YhLQJZImBgdv5/PQzMzv9rXOpnaGC2xK/Qbx55lt7w4WvdLAFgAWT9Vt/EWk5OdAf7uTAVL/2vqKwIAlofymIcH8xGUDYqxhUqkiEKWVmW7uaCQgjKcsBXwvpgNjeUxX0OwGykXvUTcizTCxX+Ql8BtCgAJtYFfrx8MLuIvdeglm3hpLhamdZWQREB4MsvKGnLhvqcJxvag8/so49e99OUWtbF8tjXu22AspvXL6Fy9gkra1kcgVku2jZcv5j6x8pS9gV6XiieoRu8ZvGCUlZXMtaqWShloZjNt2VAWew4g6rZX950tYuXNYuARcAiYBGwCMx0BD77FVbN8mvWWoGWBr5qNgRl5VwEzh7dUuegbOpzTy0rVg4t/Iy4km2akAOUs9/suR/6lttFVLOSz1z73lfTS1bXp8YTMCtAVjYAygpL7QmoZgFkh2MF6SBDS62WFUAL24IBfvmw1QezLj/l/xG4OxNwNqmgmFbS4jxga4CGnNxvUNAO8IN2gNmqmmjVl4axuj8UtkNce8BvALRof/q2s+lPLz1/1r7KdmCLwEKLgIHZ+X/FDczO/2tc6mdoYLbEr9Alf30T3f3QDhr1lnLJtKvZI7WGweIIb+/r6k+djQ9oQ1DWJYVKeSpQFp9nA7O66FdUpGs8UhLwDUDInkCD2XyhrJtbDEl1cQV8rm0M/MsnxcRaWP1aw3BW36BIXw1m6xjyrm6OKuBiWRoAbBPbJADQip1BY3Xs8zYA77QoOB/9h1sdnBW/VPGw27ymma55Gy/9cyfAvmwAs1yobbyqjkaquRAYLxsEbIW3rK5C7INZ7A4wu5+VJ7qfqGanZGHgB20GVLOmli3x/9DY9CwCFgGLwAKIwOzDWTz4Zijnre5JCr3AWdgvwcIgqeFhNR4ur+PVPxVq7DQbA7WgqIFzHYDZqtFIDSs5zSc/eKmzG5IVQFdeeDpdeeFLqWw4enhcxnnQoyOLnEpWmlbL4jMfzGooi+0+mMVnI6xIxeco9iVWBfpctZ2B1D5wRbbi4lvFhrOArgifv3LMtzhwkJkB7HAcH5lrWZzPAthKkbBsf25JYBb7lHNy+tG3voo+/JZXLYC/WDtFi0BpRMDAbGlch2LOwsBsMaNrY+cTAQOz+URpFvuse9tn3dEBXn04K1BWtmswK1MuZ/VsPS9tA3QNNQGzSB41cM1mZaD7pRJz+KmK0tY7kIDZXFDWJZxa6aHUq+IlFrIxiO5BIpUvWgMrEQTI4mYlBGhhhaChbCpe3B/7oJBFc3UlLaqtcIAWNwqV49GNyEPb9tDHrv2B+933ZMNngLNXvmINbd6whMoWrYD0OAKzVWw3wWBWWg9XLwZ0xY3IQV7iphuOibjtAZhVhb7QH3D25m/dkv+3UvvKhvaaAdWsqWXzv1zW0yJgEbAIWASKF4HiWBoUOF+XL+UHaC96x0UOyiI30auFkOfIe/zexg/qkdsAzIp1wWJ+cO/bGLg8CQVeObP51x//hguA3Z82eV81e9vXP+ByrHHOZZCLoVDp00ci5SbaSICKws7AB7LSv1+pSQFkBa5i7KG4ICo+cyrcWIYrqllZ0YWxooJc0ajF9psVha8PZzEvv7lVXgHwDt/ZQVbMRoKG3N8XsTPQPQFlYXuAtv27f5l7EOthEbAITEsEDMxOSxhLehADsyV9eRbE5AzMlvBl/q/HnycoZqUNc2EFJKJoGsq6xNhTzMo+TYsaCHA2qQHM+lDW9XX2BBPyCq0SCIFZPX6UuE4UP5bEOZunLPZPPx480tJhMhJjKFml0FfI8xY2B77/LMb2AS36rGYLiDpW1foN42NsVDJexUU1cJODueMmpqJsnG78yVb2ZNsaLPqlx3rn+SfSO88/KQKzbGXgg1n0xbK9Tl6uBjCLXBvHlTjBaxZFNPripXEy9r/82+20c+cL+X1z07zv0v13UwMUGcx+8gOXEl7WLAIWAYuARcAiMNsRmHXVbFrCFAC0yhYABO+MM0+kM152YmLY8JC5jvM85Dk6/6nhfGlRXaV7UC0PzmUQgNmbf3IPfZdffvNVs5df9DK6/KIzI8//mCh2c24COIu8TKNJQEkA1T5Wv3Zh2b42i40PJGAWUNa3qhKfWZmTAFr0AwTVeZ8Gs+hfTDirrRc0nNVg1nnjxucbKowLKAs46+YaiIt/HXzVrIay6Puht5xlqtnZ/o+JHX/BRMDA7Py/1AZm5/81LvUzNDBbwlcIUBZwVjfAWVgG1DdFy+916zrck3pb18jQsTHqgwQw6eF8NS/bD6ppFZj1AWguMKvnJCgwF5TVKgjsH1kSpINZjIXlfH5fOR5uPqCWzdZw44J+xy5toCYuiBFq7th8QwMwuzKudgxo6lQoZWP0mvd+xe0mNgZSwTg01uZjltGVrzuVNh+7OgPMOpUIX5n2/lHqZhXssErUnXIEy+H4s061ZHDnrgP0r9+7Pbo5ykdykVEtOr4iTs2hQG2SnUH8xUl9g5wQRFH3HH8/ZmFQwv+BsalZBCwCFoEFGoGSUM2mYo9/U8OrmqRLEpwVKIt+AmaRqwDKIteBWrYGhVHjJAz/6v/fn99L//6zrYlXXsAsOojX7C++8eE0mIjc5HD/CD3T3s+fTxT+kkHx0FmawFnYEQDaAtj6QFb6wmc2xCyR8wyymlYDUgdtvc7FgLORtUJ6Fi1wVpS8Pmj1wayoZeU8C1XNVlZGdmG6GZhdoP/xstOelQgYmJ2VsM/oQQ3Mzmi47WCBCBiYLeGvhdgYyBQBUPEa50Q0pBYVMKuhLPZNArNVDGWrlGI0LfGMwWzoOEgOQ58nhTKXhYEUctD7+2BWVLhRpeG4OJm3VExbGGS7rCtba6mRbQowlrzgw6b9aHET08DxETCL8TCHJ57ZQ39+7fdzqmX94wPOQnEyXBF5xDl7h9gbrW84Svg7GboLnIVaVu43DvFNjLQvfPFfUr/nBWdzqmEnEv3xuOpyIsWPg1DItTcLgxL+D4xNzSJgEbAILNAIzL5qVh6SZgey+vJ84MOXpF0tDWWxARAWD5wBZVN5Ix8GKloBid//+VYHZnM1XzV72YVn0sXnv9Tt1hfbDQCCHugdokOeFZM8WA4dA9t2M8xF82EnPkNBL62yFYCJLAk5kVOlKkiK/n4LwVkXbeS1nDdmEyuE5hwCs+gHED7EyuCQnQG2axGDVsvKMfJRzQ6zbYSobENzMzuDXN9k224RmJ4IGJidnjiW8igGZkv56iyMuRmYLdHrDKXsFZ//rptdJZaoKY/YAU6CkahpH1jAMoBZH8pi/1ASCihbzerSKh4bCgZpgL5o+MgJOAJS2+kEsyEo6/JnpZgVKOti4UFh2T/JwkBf3lqG0KsYykoDjEWSrpvAWfx0hTRaatK2f+LL36dHn96Tl1rW/2qdtGk1Xco3Nycde1RqyR3uKaACkdbHihIUzoBaVn8GO4N/YaXsLlbM6pYVzuaEsukzjMbK/gfhKzay9Ta1bIn+x8WmZRGwCFgELAI083C2cBirL5NWzfpKWazqQc5SwzmdgEtJ7Rq4gOn3Gcb+xy9yA1k5ng9mT9i4mj79wYtdPon0BC8c52AAzOoHyzKehptQzHYPpBcPE0grYNZXlAqYxXgazobALPoInEWK5+d5SWrdpD8JH8zKyqvoONF8hqAG9tS7opod5pwORb/8lo9qFrm6O2elQMbv8v5jbz2b3nPRK+yv2SJgEShyBAzMFjnAJTC8gdkSuAgLfAoGZkv0C/DH136Ptj61y6lj/YZqr8Nekofks4LBo/Mo9ZY7afWAAFkZs5r3cR5hIQDLY0myrKHddIJZf64yLyTSSH41lMU2+VzHBKfbxD5qLglOuJ5t9VXU5lU0xn5Vnl2C3n1lYzXhJSv3H2W17Cf/4T8KVsv6U3rHBWfSJRec4T4ecEvzJnpgToCz8Gcb5vWBw7GdwSPP7HUWBqGWCGeT7AmyfOezwdlCLAxwCFPLluh/XGxaFgGLgEXAIkB3bn2Yzrvi4zMQidxWBflOAnD27N872a36AYzFQ2lpsF+qZTCrnzcDzv7otnvpB7+8L99DpPr5RcD+5wcuJgBaJFqDStn6xMHetLF9MOsApOrhg1m9M/LRAS6MqlWx2K7BLN4LnMVP39VJ1LHY5kNZWalUSDAEzGogK/v7ubOGtMiZnAWDWvXkHzcXnK1h2I4WUtfCiuy9F76C/vC8KJ+0ZhGwCBQvAgZmixfbUhnZwGypXImFOw8DsyV67QFm73t6d1S91Us8Q2C2aVG9KwA2wOoFUTVW8HI2gE8kuJUMYKGQ9VslJ/JuaVcAzoaWrAuo9ZNdPW5IdBkXkc04fjYwG6lj03fxwaxLlHnwavbf0nPSkDYEZWVUeLFpCwP5vJrHXNsCywNWK/MccE6Aso8xnBVv2c9c9x367HU3T+obdCKrZ9/OgHbj+lUOJgPIujpdTonCNyZKRTvM6uh3feL62Ns1jJ7HYfKWdhHwPof8NWHmSXDW1LKTutS2k0XAImARsAiUaASmTTXr/3PrnioDmiY9Lp58QL746XcGH6aLRZOM/EMGsj+cBJCV/X3V7H973RmEF07VecXyMnvAYK2a9W0MfCgrY++J7Qz8KCAHgpWBeLfKdmf/5HWWgmDYJlHWOSMebPuK2ULBrORlsIkItWw1vBwY5gOOxgW/QvsjVz3SOZD4ZQCYhSUC8nvdAGVrGM6j3f2FD0z+y2R7WgQsAnlFwMBsXmGa050MzM7pyzcvJm9gtgQv431P76I/vvb/pM3M2RHEGSCSvEHl6QUoCyVsP0NZgFm/1bPqszJeDuVvEzCLz53yQHUIgVlATCTNSaA1lDxjyKT+SYW8QsoEjKPBrEBZfO68YgMHqefzXt5c69S3SS1kaQClLKoZV3NCLOD04g9FRb9ERZKt6Fe+X6u3vv4Mehu/0LTqo5cVs9Ku/scf0ZM79qUNGalX1TkB4KcGwB2MB2rznVDcz4ezppYtMIDW3SJgEbAIWATmRATyLgSGf1p9eWauM3T/Tse+/P6T5lz7Jmx//bmn0uvO2exyMQ0GNZj94S8Zyt5WuErWP6Svmv3elz+QyhV73fJ99rBlOCuqWa2WTYKyOEaSajZSwkaz0HA2Kbf0Aa7MXwAv3ms4m09xMLlM8rBf7MBCYoFsYBbnj7y0TtVy8OPb3jtMFdzvcAKcrYtXesG+TFSzGspivOvefTGdegwrma1ZBCwCRYvAr3ccKtrYNnBpROCsDUtKYyI2iwUbAQOzJXjpv/GT39I3bv1txsyQ5I3F3qN93YNuu0BZl8SyvUF3R1RUQVrr4nr2qC2nYfakCt1QaDDrxlBZpgaz4JqAm5I0C6zUx/KXmulthYJZJLNQs/pNvGc1lEWfEJjFEr86VhSg8AUa9gFo9SGtb2mwOAayKxjOSoNS9tPXTd3GIPR1w9JAAFq3RDBuAmaf3LGXrv7HH2f9lgqkTVkaFOgtmzR4Cs46Bpy/6ueTH7iU8LJmEbAIWAQsAhaBUo9AvqrZkLVUwecW/1taBjVtAf+u+scBnL2AXwCNAmgBZm+9/b5pAbJyPF81+wesmP3910ZFwABmYbvUwOCxnZfrowiYgNlsUBbbMOcDXVEeqxs+1+xbwOtUwCzGFzgbqrkg1gdQJoRWcel9JBeWOWez5pfzxKqtUOthW7JeVh0f1VbnwGwIzgqYxf6As8jZRSkrY8LKwOwMCv5LtB0sAgVFwMBsQeGak50NzM7JyzavJm1gtgQvp9gYhKYm1ga9nNBqKCt92w/0uF+hoG1jKOuSOc5oAWbRfDjrg1mxNAhBWeyPpWHSfDiblDij/2TALGBrhncYH7SOz823UkCyXK281uq5MrFYFEA16zcf0oqlASwMFtdVMcAtY8VslVuuh/P6zFdvoSeUjcF0qGX9Ob2Vb3gAaNEGUNyBj/vOq/6psG+ou0uI1bL5s9TMY8SXGRrqNOfePMYcevLWwuZsvS0CFgGLgEXAIjCLEcipmp2MWjaf85kCqL3uM3+YOgJyt5/d8QDdesf9+Rw17z4CZu+852HacvlVbr+bvvg+9+AcUz8Yr94a4pzlAK/YQuFSH8o6UYGzIpiArnjIP8j79LOgQBfN8sEsjodzG2QAHDJnykcxq3NW7SyB3EazcfGk9Xl5ZlEv5LTRvtnA7AhbTGE7xAG+ahbxao9jt7SpxnkF+3C2nPPQmtoJqIvc11lKebYOp25YTde95+K8r6l1tAhYBAqPgIHZwmM21/YwMDvXrtj8m6+B2RK7ptrGQHt6+orFKk7iJFnU/brZtwvJokBZOb1BVSxMw1kfzEoSDBwXUgZoRS36CpzNppZFP+ehGoh1kpUBFLNVrG71CyMAqCI5DTVRxmooi34hMKv3F0gLNe2a5hpXfAtJdBsSYp70k9v30N8wmD37jJPptu98nvQNynR/fUQ9u4m9Zz/79R9mWBgkHc95zOZjX+BfhMnZ0GZOIx7X+e9ynKxZBCwCFgGLgEVgrkQgl2p2WtSyuYLhYF/+SlpRzd56+/3TDmT1VH37pjef/1LCC62bVZ8oBIYH4Xu6BqKHyvHKKw1i/VMfYNAqBb4AKfFCS3v4H+cVyB/RX2+T8QoCszxOtvoIqZxa9cvmSYt5QWGb5G6B+gDSfNUsLAygLkYTMIvfNZzVYBZ5L3JbjCkL2xwUjg/+a/OZzfXXZdstAlOKgIHZKYVvTuxsYHZOXKZ5PUkDsyV2eR/csYfe//XvO9VBUqvnIl5DDFr7B0ZSXQBnATnr+Mn8eMBPVYNZ7CTJHKAkioTpVstQcmBkNCOBDSkZsJ+wvmyML2R94PaNVQf+uUI9IEvKdDVaJKdJfrHY1hRXsNXjYaxsHrPRPBhmM4gFnEVbzgqGBo4lFBWf+xqrZRnOStGvYqhl/fM/nm0Nnnp2f85vZ95ANudIU+8g4HrqI9kIFgGLgEXAImARmNkIJKpmi6WWTTq9AgDtxnXL6WnOT4rZfDuDNzGUfdN5L015nu6K/VFhbYBXPj68fUosgLk7BS3DVwdoHRhNPyOAWe0/K1vzAbPO5Tch15RxfAAr1ge5wCzySwglfLAsNgYyvlbNarUstjdz3trMK7SkCZwVMCtQFtuRh/sKXnz+x+efQZe/OoLl1iwCFoHpj4CB2emPaamNaGC21K7IwpuPgdkSu+Yf/eYtBDjrFAQBOIsksCb2TD3ckVnJdWlrLR1m/1lAzUqGjAI3h5U6YSIR5SJeMZgFjEWrZbiJxK+PVRC66UIKkwlZMpgN+5dqMKtVs40B8Co3Aa1cJEEq52pVBD6D+tZvUf2sKPtHAbDWmigxBtwGmIX9AparXfqxr7rP/SIYk4lDvvuUlfP1yOI/V0pAVs5JwHW+52j9LAIWAYuARcAiUCoRSFLNzohaNikIrKAtK8/MX1LdUfhzbLToIfTzn2994b0ppSgsDGBLgJRlAs5GUwpBWrEx8CeNz/uGRoIKVKewjQvU6oJbucCsLvyVLUghACves9gmoBi5pU7NAGUbWSyhH/6LAhj+sXqVmahmtVoWOa0TVMTKBsnFd+3voWE+0WaudQClrDSojH3lMI4NMPuOc04v+vfADmARWKgRMDA7/6+8gdn5f41L/QwNzJbYFTr3LyIIiObDWSRfDZwASutjxaxWzS5pqaGlLbX01J6uVB9dyKAlfiIPgCmtgz2ukFjq1stQ1n8in6SWzTd8UwGzOAYSct/GQANbwGoktAJknQ0Dk1W812BWw1g991ZOfKvim5/lTdXO7wvtmR376H99fWZsDFLzQeIPMBtopQhkMU1Ty+b7l2D9LAIWAYuARaBUI5Chmp1ptWxSYDJUtG5irvc4bIymy5Yo4fi+avaN550eqWb5uF2ci3YzUJV2oG8obRSBjgJpk8Cs2Bsg3xObAxkIdRIESGrrrGxgFjUCslkX6EkGwWz8cD7pGXlUhLac6xuwF6yXR/cxlEUbYYHFMFtN4ScsunDuALYAsrLCa8OyBvr1EwdT06nhXLaFC4b1clzrFJSVDoDgusm9wY8+/e5S/bOyeVkE5nwEDMzO+UuY8wQMzOYMkXUocgQMzBY5wIUMD6UsFLO6aTgLCwMpaIU+Gsziifra5Q1u10NcGAyqWd1ed/KKoAL3UM8gvdCZ3tcHs1NVy8o8QgXA8rEywP5I6CPwGo2mPb1cUspJbgR/M51sqzhpbmKbgqTkur6ywlUVjgp9jdNRzbUuzrjh+NI3f0jbduydURsDgbLpSpOJm7BCvlMz1dfUsjMVaTuORcAiYBGwCBQrAr5qdlbVsqGTlIpTzrc/ynfg5TrTYPbYDavoY+96o8vJhjhZeoFzTimIJarZ4PSRu3oFv6Sf9p314awGs9E5R3kgPFdDxbkcvE3nl1m/MhrMilJWP+j3d3YP/RWMbaqdeJjuz1X2Pbqtjp5gJay23GprqKI2Fks8f7CXdh7qSzvMMSuaqIfhbEgooT+Te4PPXfkGOmndqmL9adi4FoEFHQEDs/P/8huYnf/XuNTP0MBsCV0hsTHwpwQ4iyJdGspKH7EzWMtP3OvjZf6wIdilErzjVjbR8fzqjp/g6/H3dPS7qrhIiNFCNgZTVcvK8Xwwm83zS1sZuCQcYJYBagiuumJfPLgPZgFZkZy31LEaVlkZ6OOKhQGg7Ai/GhnQNlZX8qvCFf36+3/64YwU/Uq75jiRIqtfpvNrb2rZ6YymjWURsAhYBCwCsxkBUc26h6Nz4d/iGcoZfDuDP3v3GwmAtp9z1F7OI/HCVABoOwaH3VJ8NHlcDpiJF2Bqj2eXhX6+76yGs0mwEwW0oEYNrYbC5/k2ly9y95D1QeRRmz4SoKwWAmjVrKhlZY8NS+rdr5uWNtLzR/poG0PY1DbO3dE6efXaw893pD5fw/tUc84LAIscXYNY32e2mXNctLeffZrZGeR7wa2fRaDACBiYLTBgc7C7gdk5eNHm2ZQNzJbQBdVgdiIJjPyskvJuqGbLOJkUtaycjtgZLGF/qlceu8R9jOVP2rcW76GYRRM4m6mW5UID0yTWhLJCctskSwGZv4BZbVcAKwanalUGY6KWlf1wQyBL4CQlRwxCDYAWAFZ7g61oqHFdqxn0fvn6H9FTSi37meu+Q5+97ubifmNi39s5c0PI0TC1bHG/Eja6RcAiYBGwCMxcBEQ1W3Jq2YQQyEjBRQAAIABJREFUoPjrTOQMITuD8889zeVlaAd6JiwM+rmALHJMfxVTPT/87mYo64PZJHsDgbMhMIs8EpDS91yVMEX7pgctKZdG3pjN9kAXIxMLAz2ygFk9TwGyG5ZE8LWWYe4zDGUFzGIV2Kq22tQwALMAtFDAruF9nJ/sSHQCPpwVOwNtcQa1LFSz1iwCFoHpj4CB2emPaamNaGC21K7IwpuPgdkSueawMfjY9T9IXG6PhNFBSm++SAJRUEDUsrJZ7AxeuWkxLeFCVmg+mAWU1V5VKEjQ1T/s+mogKj61yL2RgGsbgULCJz6zuaAsxqx2aoQJywKohRtir60RXp8mcxC1LPYRH1odI/jLireunivGg4oWcwHMRXwBg9vY8kAG/+invul2EfC45bKr6M6tD9MpG1fSQ8/sK+TU8+7ripGJXYN/R5H3KDPX0dSyMxdrO5JFwCJgEbAIzEwE8BAWD2NLvQHKSisWSD5lZR09tK/fHcZXzV77N3+SeuDuLAxY3YmGnKpjIMonpWGFEvKuEJiFijYbYMX2QV7ZJaIFKdyKsX2lrRzPB7OSU/p5tG9jIGNrlayoZn0LA31+sDOAWhZAVmCs3g7LLLQfPbbf/VzJxXrrWBwgTewMoJaVgl84Z2kaziIeSBE1mMUcf2g+s6X+J2vzm6MRMDA7Ry9cAdM2MFtAsKxrUSJgYLYoYS18UPGXTVreL8v0ZXm+fwRZqi/FwQA2kbXBwkA3bWfgg9kjrHYAmPXBqz+nXJ6zesWXToDdEjeelk6oMbdU/zgLhuUBrAn0PDSYBTSGSgIFv1AkAXAaCSr6QGmgYbNvY4DjCZR1x+ZjiUqija0gahysLaPtz+6jr337xxk2BoCy13zoQhrn4ly/e/oFGimroJt/co87/mPP7Cn8wvt7zNCSxKlPNBrB1LLTFUkbxyJgEbAIWARKJQIzskJmuk9W/GenMO7mY5bR5nWL3AibGcie1DhI4yPD9Kc/2e3grK+afR0rZl977ktcf1gXdMYWBXjQ3ckrumA1gIY8C4pRtCTFLMBjqOG0kGMlbc8GdcXOQK8883NcANyQ6cHECq9o5RrArm9hgPlKPYClvDrrtKNbg+cAAYCc/1MHemhnx0CaWlZ2un/HEaeWlSb5rbwXOCt2BuIvK/cIl7CdAV7WLAIWgemNwB1PH5jeAW20kovAqzctK7k52YQWVgQMzJbI9U63MYiSQN0k6cJnsmws29SrGTCevq41w5dWVLPaxgDjwMKgZ2A0KqTA3gW6Iq6vcM3lOSvKWD0/SXpRwdY7tYzTQLGulEI43hFqWe2xi0QYCbL2EFvESTGA9ACrNgTOahsDDWTloG6uTsVR5tSyThXBr69/+ye0/bl9GWrZaz7wOjr5xRvc7sNUQazfcJB4kJebwfIBcBZz+78/v9f1eYJ9avNtAMIzUcQj3/nk6mdq2VwRsu0WAYuARcAiMFcjUHXs6+fO1Msi6Enj+Ve8OmnTajr52KMIe566cRmdun4RlY2yypVfZaMjNNZ1hBOdyJ7ghrt20I1b92eAWUDZ1zKcdQ/wud/BvqHUCqR2ftAvYBagFnASDXUTDnM/aci/AEs7eBl/qIl1QHvvxD66XzYwK96skndK0TDZX7xl87nQyCErOT91YU6wrz2WPWOPXdaYMRzUwsjL0QBmuzlPhVrW5eT8+8R8otVt0pDj+sW/AGflnOEvq+8PDMzmcyWtj0Wg8Aj8/KlI6W5t/kbgtcctn78nZ2c2JyJgYLZELtO5f/HVtJn4KlWdeLlqswlZIRI/JMD1nPCt5eVQeMKPZFJUoSEwCyjbGxcGE9A5oirdajCLBDGfFfZ+oS85OWcdUB7fQARiHyXgamlebJ3gg9nQZRMwi22dfEMgNgY4f4yb5B+Gba2slpWkGUf/H5++3h3CX7b3n1+6wslsx6pqqZeqHZRFgygEYFYUzfhctj21fa8rLPbj2+5zfbexb21Gw02Nu2mBVcTcKDhiatkS+Y+HTcMiYBGwCFgEpj0Cc0Y1i/yBV/GgjTNQDbUTNq6mExnEIss4iWEsoCxAKdKOKi5UII4IALNlw/1UNtRH4+0HaKy7g8YH+tyQW65/OpgXXfOZd6VWQsHOYIDBIvLQniHOLRkiioWBzEuDWaek5dVPaLDTAnDUTfu5RrUQMlW1Sf60GBu5rG4azGoLg2xfHnmALz60OkcN7ReCs1DLCphGjrfjcB/t4EJgujlLLV4FFuXZUW4ZArP4HLFAPt/Iq8T83PaWT/3JtP8t2IAWgYUeAQOz8/8bYGB2/l/jUj9DA7MlcIXExsCfioazGsyiX8jSQKAstq9dDI+qCe8q96Q/zrxhZyA2BhrKShIo88AxRD0LVWm+UBb7h1SzMq6rzKsrKcQbZJmYHwcksc3wfs3SoJQFmJWG5B3Jfh0nuWLzkLQ7biAWcWEx3DxgDjtYKfvl6zNtDLDE79r3bYmS5Ypa6i6vTy1/Q+6PGg2ImYay6AuFM6oW18ZqCXwmcPZHMax9+jl+EhuDWUgxxtlHt5SbqWVL+erY3CwCFgGLgEVgOiJQ8qpZBWVxvsgdTjhmJZ3A4BXtRAay+F0ed8MtABwUD64BCvEcvKo8U/45yE+aa47sovLO/VRWXUPjQ4P07dufopt+156hmr1oy+l04WtOcx6x3XwA5DzI8wBm+9kjVZbwy/XQYNYpaeN80M9HQ0W2klSz8JmN7AqiPE4ss+DRihxSr0ITcUGShYH+3mi7K1HX+gKC0PdscUM1vXx9W2qT+MuK7QE23Pb0obRdayoZssaxEMsuXQDMPw7iqFeSyfa/ueIiOpELgVmzCFgEpi8CBmanL5alOpKB2VK9MgtnXgZmS+BaJ4FZTE0DTHnaLlMWOKuBrGzzwawbK1bPInl+an+PU8n66gTAV1+MC8UBYGM+SlkdziTVbDSXTDgrFgZ6DCSnSDxbuMCZKz4WmB/6a7Us3qMflATZ1LlynKU8dhNbJUjift31P6Kn2WPWL/p17fteQ6ccu4bGK2uob7ySRt0CwAjGQi07xP8zGBdk0OcAKIsblUo+QCiJhrrkH/73rbTj+RcmduPliKUMZ00tWwL/4bApWAQsAhYBi0BRI1DqqlmnlFXU8fgNK+lT73sjrwBKN43CO1nZo8FsNUNZ/ZwcQBYLqLB7QyX/3PWIi+9o+0G68b/2JYLZi15zuuuHXLGLgSwacps+fkju567Ytq9rIPKdjdWychEPdA26X0NervjcV82KWhR5bWglmfallfNELpuPhQHGTgO6yos2XzgL9eyyxhquX5Bp4qVVs7D58kUEyH+ROw4MTTyoF1sDOVcZNVWwjGNkdgZF/U+CDb5AI2Bgdv5feAOz8/8al/oZGpgtgSuk/WVD0xE4GwKzUIpC6akLaomNQWgsJKlY5l/WcYCeH0svDIb+fhVbfJbNvytb+LKpZrGfhrM6yRVFgQBiZ0nA8FSafK4hrYBZvQQMcahnxSyS8AQ7MIKKYTGP7WLL/7/9ub10Hatl3Xlv+2l0gxD7zP3nte90UBZNg1n3nm9AuvhuxgevopaVuWvVLD7Dsj/cyFz1mRsyQunAbAF+cTP5VZbYzOQx7VgWAYuARcAiYBGY6QiUrGrWU8tKXG74/J84sAo4K2pU5GO6thZ4aAP/j6hlBcjKGPUMZWGnWsaK2fKuAzSyf7fbtOVb24P50Tf+13sc4AWIFRsnFAPr4AJgoQYwq9Wy0geqWTzk1svz9e9YDYU8Vqtik6wMkM9qv1YcA/sBUCfZgaGPVsnqufsK23zgLPZ/7fFL3XEhAPCbwNm66sxtOJ4Ds4gpnv7n0XCdAWbfcU4Eyq1ZBCwC0xMBA7PTE8dSHsXAbClfnYUxNwOzJXCdfX/Z0JQAZ93T+3ijqGXFosB5t8aP9pc219DSphqXvPbHflz69zePPkGrx7sYzDbSnaMr0wCtBrP5AlmZUyhtzKaajZLkyFMW6ggA2ZB1rg9mdXzQH7FpYSsCP9EGmG3gF1qkkEiPLG5aUPBLilLg/VPs//plVszKUv0773mYtlx+FW3esIyu+eDraZy9ZXnBHIPZCVAMRWw/J81dA/BHixS+UmgMNya6WJuoZqEkgboWbcdzL9A/3vSzjMteqmBWqjKXwJ+OTcEiYBGwCFgELAJFjUCpqmZ9tawE4ePvvoiO3xAtZUdegxee82q2BzALFWc5+8vGJQZSMRS1LD4AmC07tItGDu7jAUbopoe76J8f7s6wM3gj2xlcwKpZ2BdIDgQoeiChoNeh3kGnENU2W1CN9vFkUDAsCUP6dgeY4wDbFYRAK3LYJKA5oTiNMlhfGRuy2wpZHyTB2VdVcLy4nV25jx6uOZoeqVnr3jfFFmNNDGLl93t3daatjvN9cbEfbAsKWbX2o0+/u6h/Eza4RWChRcDA7Py/4gZm5/81LvUzNDA7y1com42BPzUkrQ5eqg14Ci9Fq+TjVlaASiXc0OkJmNXbBNI+N9rkbADyhbIyhgDYtMIKSHb5FbCTTUuE4aslqo5Qcu2Ur8ovFztLgiog9+hFddTNSgvdAHRbGdhKiwo9TKhnl7MHGBoKf0mBsC984wcOzmbYGPzJq2jzMctpvLqeRqrqHJgVICvjw+NMQDg+A5Tt5psUgF9pVVz4rIavo4a1SWAW+yQV8pjNr62pZWcz+nZsi4BFwCJgEZjpCJSiajYJzL55y2n05vNOS4UIeYnkSshb8GAYbQnLYmHl5Ldm76Oyx39NY309rgjYTQxl//mRnhSYlYfXxzEI/uAfXZQ2VAjM4uE0cjPkivJwWu/UxQpbwNRQHQUoRzGmXxALuVeowV9W55QOovLLV9HqfaUgGHJXvwhvkietwFkNY/WY+yta6LaGk4NzRE4v55XtO43zGEIhgzzb5658A51kPrN5Rsu6WQRyR8DAbO4YzfUeBmbn+hWc+/M3MDvL1/CG27bSjbffm9csQk/wsaMurAAFKtSnURXZ8LDvH7kn8XgAtFiG9suB5bR9pDGveaFTkjIWaWQEZjNVCTI45tzIcBRNkmgUHZP3LXzzUMkn4z5JsCXYsLTB9e9m1aoso8P7paogmBwPcLaRYW81j4kbhGXcBwkvCnJ96Zs/zFDLYr87P/dmt/s4+7kdrF1OPeHVeXS4dygVs04GxYCz2t4AST/mV8dyFdgsoP3jjT9L95dVUS811awV/cr7T8I6WgQsAhYBi8A8iUDJqWYTbAwQbg1mkYccZtUq0sFQIVQfztY4JW100cadxROrWnc+HL1nMIt27hejHNK3e7r+C++NPmelKh7w49jO4imWo0ou1FpX6R5sd3kP07Hvkd7h1DdGw1kNLzWYTbIxwCDiLyu2B3L8fMCsTEL7zIq/q/5Kr6/oIbxeXa1qBAS+8zc3n5XxqQgtBmPgnOtPpRA4+3azM8gVTttuESgoAgZmCwrXnOxsYHZOXrZ5NWkDs7N8OXP5y8r0xPMKT/B91axeCiZgFvtFT/zTl2jBwgCK2Xza9pEGB2jRckHa7MrY9AIK/rExZygO6mLbAX87inhBLYylXElNwKxLxjnJRRKPhhsAfTPi4sMwFjcK+H0FWz4AbAP6PrZtN/39P2WC2c3rF9O17z6HxiuqabymgQ6PVtHAWKR69fULopoFkMVNCRpuCsQjDVA25Z2Lc2Y4+7+/8/NEMIvO42NhNUg+13C6+1jRr+mOqI1nEbAIWAQsAnMhAiWlms0CZlEA7L3vfL2DomiwWcLKKnkY7Md6bUsNb4ue5EMt64AsMkgBqjGYJc5Fxnq76Vu/fJJufqI/w87gTee/lN503oS36ZH+EX5Ynv4UGzmZrPLaxT6zusEKyu8PGIl8ChYGukENi5ZkYyD+sqKSTds3Sy4ZUsVK/q3BLECsQNl8vrvazgD9/Ty+i2s/5NPyhbNQy0I1a80iYBGYnggYmJ2eOJbyKAZmS/nqLIy5GZid5eucj79sBFcjf1kBfFpJoO0MQpVsI7VAdKIhG4N8QiCQNgnQ5rIs0MXJ9PHkvPAZCpnhlbbdnTPRuiWRIhZwFpYFPqRd2VrrIKc0gbPaZ1Z8X6UPPHlXKjD7+a/fQk9uD9gYMJQ95fijHZhFA5gdGo/mCfWtBrQCZkUtK8cSpQZuPHTDPK/78r9mvQSlYmdgatl8/lKsj0XAImARsAjMxwiUkmo2ycbAxZ1zm89+4orUJTjcF63kWVof5TChBji7pK48spVilaxulc/9jpOdCPIO7t5JN91/iG5+sj9jdRHsDP78PW9KFeZCttPBwLGDAS0aPP/F9x/vI0XtBHANgVnMp4f74GG7zp6gmkUemKR+xWkk+ctmU8wm2RUghz63KlLF5lLHhuKrwawPZdEf4DmkyA2NhTjl09d8Zufjf4XsnGYrAgZmZyvyM3dcA7MzF2s7UjgCBmZn8ZuRr7+sWBhoMItpazgrdgY1Ck7qUxM4O1kwq8cKQdrJglldbRfH8OGsmzd/Dt/cVu+mQkPaNt7eFnvGylxRQAHQFJVwoZLFseR4GLeBY7WU90Gy/9T2PXT1138QtDH41dVvSZ0+FLOHqCEFZnVcBNLu6x5MqWVle3QeZc7GQHxoofTYt+cA/fgHv8r6LSwVOwNTy87ifyzs0BYBi4BFwCIwqxEoKTBbEdk/pTU8wI+fwv/3S8+n9Ucvd7YCAj+R8ySpZpFPblpcnxpuKH6IjAJhLdRPNf3tNHpwLw1sf9L1ufAHHe6nb2dww9+9zyVtGqICzvayD2yb8vzHvj6YFX9ZmQSgbH11OR3sHkoB2KiOAeogQEXLCt54CRJyPDRZISWg088xnQLXe0CuY+gDT4Gwk4Gx/uWBnUEIyqJfPnYGrkaCe0VgNpfjrPnMzup/Luzg8ywCBmbn2QUNnI6B2fl/jUv9DA3MzuIVgrfsjbdvTS1tD01FFx/wwSz6C5yFIhPLw6CYTWqrxjrpDyhKqqejAdCiiR9tks8s+iT54/pJM/qK3yx+12OG4KycBwpsaSWGfI5qxLBBCB1nQ2uN83/tZ3/ZxxnMfj4AZjevbaNrPvh6zvZroyFHh2n/eAN1DGWmxICuR/gGBMv3pPiaVvEikcb1ApCVlg+YRd/ZVs2aWnY6/mJsDIuARcAiYBGYyxEoCTsD38ZAAVmJ7bm/dzKde9YpzsYAVgBo2cAsAG5rbRUtUsXAkE42iMXB4GEa7z5Cw88/QyPth51i9uYnBzLsDN4MOwN+oblVSvFqrfaBCYiqr7+2M/DBbFNttApKg1nZF9ZX+zoHMorfynaAWeRkIUFDLjCbr29sod/jGxtemZgLJ4FZv9AtjglVr/sZsNOSOeG833HO6XQJe81aswhYBKYegf94dN/UB7ERSjoCF5+4sqTnZ5Ob/xEwMDuL1/hj199CDz27N/UE3J+KWBjoRCsEGKXAFhJV2S4QEPtyvu0SuKPLuukdFU8V5YwBaW9jP1rMeUegaJgPZpE0OmDKiT8KfUnyicmJatZX4day2mNFSwxIA2fhF/rC/rArOHZJPe3rGUpVIsauuNk4pi0aq5NVF5/72i30RMjG4IqX0CkvWkdU3+r69lIV9fEL6g+8dAOUbY/91KDk0A03CEi8oWjWxcB+fMt/0r69B3Nek9lWzZpaNuclsg4WAYuARcAiMM8jUAqq2ZSNQQDISvgFzIqNgXwesjNAfoKccRErWjWYbWCqKvlKzUgf1fQdofHDe2n4yGG68be7g2D2pE2r6W8//PtpggMoX/dzUa+BgLerVs3qwl9QyjpbBW4+mEWuW8+1B54/2BfZfMXwV3/1BMziM98GLAnMnlO1j9aVR8W8itHuLT+K7qs4yp2X2HbJOeJ44jPrVLH8XuoR6LmIYhafoY8ohnUfOV9AWQOzxbiSNuZCjICB2fl/1Q3Mzv9rXOpnaGB2Fq/Qa/7ya6mj62TLJZKxr6w/PYDGUENyhmRVIGyoD6As4Gyx2w5A2sHlaYDWV/7KcruaWI2BOeEcxhgiY5kWoG0tb/PPNptq1i/0hVhhf4BZNA1noZZtjIuN4WbhrR/5quvjL8v71V+ew3LfChpfspZQ17iDJsCwwFkNZCW2sFnQyb++SYC6F5AZba6AWYlLsb87Nr5FwCJgEbAIWARKOQKzrZotg41BFiiL2K1jG4PLL9mS5uGKz33VrEBZiffG2M4AFga1lekZWDNUs3u3u65j/X30mq89Esybbv3ah9znYguAB/Mv9ITBLPpBNav9ZTWUxfbd7VGRMAGy+B2es/s7Bt3nITjb6RXTEljpWxkAxqKJf2wxv3cCZv1jCJzFtUjyxZV9RC2beq9UszhHXbcBfW751J8U85RsbIvAgomAgdn5f6kNzM7/a1zqZ2hgdpau0EPP7qGPXf+DjKNL0pW09N8Hs/K0HE/OxVsr6ZRmCszq4wukfXa00al5/SJgrmJuwAMBCeby5lpXEAFL7HSTQmD+eepCXzB0EPXwUa7icARCoWjt4NfJyya81B59Zg994trvZ/jLbl7TTNe87QSW9nKZ4pYl1FHPfm3EkNapGaKlZE+wYgNgVqtgZV6imsUNhF9sAv0b2Pv2m1/7Xt7fwNmyMzAbg7wvkXW0CFgELAIWgXkegVlVzXJhrvLKgL9sIOZ/9tFLUjYGerOoZkN+q1DNLmusSlkY6P2gmq3e9SiNdrLfbFc7/fNjvfSdx/oy7AzeceGZdCm/kNqVD3TTcE1TVjB7oHeIengFUjfnZj6UxfEBZjWUxWcazOK9hrMAnMgd/Ya8EquzzqrY6zbNBIz15/D1qpcl/nUAygJmJ6mAfQGHDCT3AaEVdX9zxUV04rpV8/wv0k7PIlD8CBiYLX6MZ/sIBmZn+wrY8Q3MztJ3IARmo2VLUVKW1ATMaiArfbOB2WLaGOQTwmdH2Y+WT/CO4ZX07GhT2i5aNauf+DfVVlJTXCximBWoAmmzqWZhZyAWBnKQxeyZhpdOYltj7zJ8Bij7yNN7SJbrb7nsKrpz68N07ZWn0+ZjlrvdBppX0JHxdBuFPV2D5Ap9xfYFgMxQwwqkhWq2n/1k/RsEFCWDOqT94BG6+xd35xM+12e27AzMxiDvS2QdLQIWAYuARWCeR+DOex6mLZdfNfNnKd6yOdSyMrEtF/weHbNuhXsrq3Twu6hm8dBb20hhG8DsmpZql8fIUnpdZqpu/9NUvvMJGhvoTwSzlzGUvfyil1F13yEqGxmi3qaV7oF4B/vMhhrsDHazXyycC5BDSVsSF3zVPrSyzQez+FyAZgjMruXVYmvLu+nsClbIZsmxi31R8wGzMgd/5ZyvlpV+UhDNV8tiu9kZFPuK2vgLJQIGZuf/lTYwO/+vcamfoYHZWbpC8Jd9cAee2nPK69WRSlLLYqp4Ih6q6ooErhKGrQlttsFsdJLRiUI9C0Ab/d7EBcvKIjVtfH5yChrM6tMCpF3ZXJOqSKt9y6CabWYlqkbbGsxCwbG4Mro5GC5j6wdWn7zh/ddF77f91P2UZYp3fOBkKmteROVNbdTRdBT1qqJdUuQL/Z9v78+IukDa/Z2DTtmBJj+lM8Ds/Xfe465n1gpwavSZhrOmlk38k7INFgGLgEXAIrBAIyAPcGfs9HXBrzzB7PEnH0vHn3ycmyKsodBaGLwuZuCJYrHikz8wEuUobmUP50ib2M5gWQNUs9FKI93aunZSWfdhBrN97uNXf/l37qefP932lfdQZe9ht22oupEOjtclgln02csPucVeSvvgdg+N0NNHomPp1sGetZ19wxmfA04O8vnIKqVXsTp2XQxlo87OJyxjv5n6IMnOAMd3CmYuRhtqOC+XKwaaXwRMzg77vN18Zmfq0tpx5nkEDMzO8wvMp2dgdv5f41I/QwOzs3SFPvpNgNk9waMXA8zOho1B2smNp9sRyDZA2rtGV9PusuYMP1n0WdVWlzYMVBywPoCqQ6tg0Qnq1BZW2WIpGJbFSavjG5I1cdGweobAjWUjbEgQzeeBbXvpz677cYaNwSmrGuhLb17HCTz73G46jQaqm6kjLuiloSzG2M83FKGiFh1803CAVbXVPF9d4EHmBSgLOOsafMISkm7/SzKTlgamlp2l/0DYYS0CFgGLgEWgZCMw03YGqYJfcUTKsjyIl6BpMKsDCaVsTWUFNXK+5Dc89K5TQBaFUgXScnZFTePs69rNSliGs8OHDtIN/29nsAjYO7e8mN55HltBxW1P1dIMMNsWr1xaVjFIO/qrUvZTek77enhlEr/8lgRm0e+lY7sIqtmzY8uC9H1LF8xinoNKAKDnDZaclCL6YFb2E0D7w0+/u2T/jmxiFoG5EgEDs3PlSk1+ngZmJx8723N6ImBgdnriWPAoKPyV5BeVDcxqKwP97DyXYrZUwSwCN461dAxud1IL/Xp8Ne0cb07FU6tmBcpiI2DrUexBq5tUsj1haT11M5jd1x35lqGhABgAKQpa1I2zJ+zoIJWNDdNHvvpLenD7/gwbgy+9aR2dsrqBylqXsdntBhqoanBg1oeyGLuDPWbFzsC9ZyCLF1p/fHwcW6rwypzTwGz8YT7q2ZlUzVrRr4L/tG0Hi4BFwCJgEVgAEZipImA+lEVoneVVDuXnkuWL6ffOe0XalRhg8CdWWIsaWDmrrAOgql3l5VWyMwDtyvoKWlnFuQ2D2bH9O2lg53MOyn73qYEMn1kfzB4Yq6ORmkY33CIFhCuHe2loaIh2ctFYWBn4PqnbjvSmPWiX+ezvGOBVSBMP/M8ced5tOnOUFb2sBiYG12FbsNxxK/ZXN5udgQ9mxc4gm42BXE89b70CzQqAFfuK2vgLIQIGZuf/VTYwO/+vcamfoYHZWbhC2l82BGeTwKy/1F98pfAzBGZFgbmGuumyqm2zcKbqkAmKWfQAmB0fHY2SaW4CZgFp22sWUQv7w0Il6yfsWG4nLYpF9G5da01qCZ4A2jVcAKyOb0Dglda873EqW7ra9f3oV38btbTuAAAgAElEQVRBDz6TCWavuXQznXrCevaHqHb9AGaf6a9kMJtZUAJqWahm0TSUxXsk2ZI0QzWr1bO3/XtkneC3ccTKnUzycruZUM2ajcHs/snY0S0CFgGLgEWgdCMwI6pZrNoJqWPztDN482VvcAGEShbe9roBygLOSvPVsvI5oCBSknqGs6ev4FVMY6M09sQ9NLz7Wdflglvao2N4dlC/uvoPoiEGe2ms8zANbUwvfAUoWzncR4dGa+jQWPSg3YezD7zQFfwCCJgFkAWM1c3lkjG4zoSzsw9mv1p5pptuyBMWVl3i+6uLgCWB2ZCNgZ8rm89s6f43xGY2dyJgYHbuXKvJztTA7GQjZ/tNVwQMzE5XJAsY58bb76Wb7rg3tYeGs77Zf1qy6ZLWTFjnwF/sMSswVi95gr9syYPZEQaenJH7NyDPsYpie8tGOlS7OCPC2s5AF7BYyiAXS+90Q7KPpW0Vve1U/+x9VLn+BHpwZwd95Ot3ZNgYbD66la697JSJ69O4iAbKa+k33TXRjQMHWy6DXA/4zPpQ1t2PKDArAwLO9rZ3OH/ZpDY+CsWt3EBkXvOZUM2ajUEBf9TW1SJgEbAIWAQWVASKDmaToGwc5XzsDKCYbVnSlgFl5UI1sie/WBpsUA+7BQTqXBL2UWtbqqgRdQEOPU8ju3fQyMEX6Kq7uujhQ8PhAqqcT40P9NL48BCNLl7Dr6PdoQXK4neoZfvGJ2wVpIBqkr/sxoNPUvPAEVrDuW2opcBsME6zD2a3lq8meM3qJpAWYDYSW6TnfbnArC/c0GMbmF1Q/1myky1SBAzMFimwJTSsgdkSuhgLdCoGZmfhwqPw10PPovDXRBM4q5+Q+1PLlnhlO41LWS2LirSz2nIpZgFm0Tw4O84qj5G+SI16kOHsE62bUpBWwKxfVRhL7ta1TtgcVMFGgF99DElrtt/r4Gx5y2J6hEUeH77+N4lgdpyB7Hg1q3Kr62jfUCXt60NV4UzFbC9bHDy8p8uBX7mhkFiHwOwgFwMb7Oykx397X+IlGWdFCuwdohYGtMWEs6aWndW/Fju4RcAiYBGwCMyBCBTNzkAX+0qIQ3YwG4G9dS86hlYfu8H9joJf0qqUhQHg7JKmalrZVBsVlw3XmKI1vBqpnv1nl9dGYLZsqI+GD7xAN9y1g25+oj/TzuCstXTlK9bQ+OBEgdShY1+ZBmUxnyeHW9LOEDPHCiNtYwAYi7bp0JOcGo1RVUMdlatz0AOUsX+u38rwdD7Lw+6Z/KqFwKwc3zl7efFPsj2TVXMhwYY+nxPXrqS/uTJSTluzCFgEJhcBA7OTi9tc2svA7Fy6WvNzrgZmZ+G6wl821CK164Qa0++D5MvXTsoyptA22X9OgVlEQCXVGszqeAikbV3FSX8gmPCZRWMem6pGjPej2yIwi/ZnPz9ADz57OEPlcc2VL6VTTptQzKLvswNV1D7A3rEemN3XOUAvdA5S7+BIqsIxbihq+OYFkFbALGAs2lD887kHHnSq2aSWDmalVyagLZalwSc/eCl96oOXzcJfhx3SImARsAhYBCwCcyMCRVHNun/qdbbnZX6yDYpafqUyBNctve+KY9bRio1sy5SlgVmubq2jDUsaCL7+SU3AbAN3ae5gL1cGs2j3PbCN/uwnuzKLqB7VRF+6OILCaHt//QQ1bj6Z2k7clPoMSlkoZv2GOZVte8DVCwCMlebAMT+wr6yr5hevYgpQ5BCYdZFxgyJeyTZRM/Gt28PFbm+peFHiofj00loSLMfXAIKAtG9K/N3wz9B8Zmfiytox5nME/v3hdEHVfD7XhXpuf3DyqoV66nbeJRIBA7MzfCEe3LGHPvrNWxKPms3KQMNX7S+LwbKB2U9U3z/DZxk4XBbFLHqPDUXFslxTqtnRwWHelqlSdUZk3D7wUARgX3P2qbRh3crUEGJnUMtL7gBKy4YHqP+pbbT/3/+dVm85napbm+nV1z3k+vu+aHd85DSilXzjUBcVqhgYK3OKWbRnOyaUHwJl5aAHYp9ZffYjvCxtxM+yuUMuMIsxIjuDpBbdYBRLNWs2BllCb5ssAhYBi4BFwCIQR2BaVbMZUDZLDlBeEfmUOhgXho2Ni1pp40tPTbxWo5yfjDLcW9ZSyw+xK6iJ1bOr+PcQoD0ufuCNwVb27KSxA7vcuPCPPe+m6Hc/n7r9fSc4IIu29+4naPWbXsOvV1NZnN+EwOyPb7uPfnz7ffSj12UC2zHkUwxjU2DWJUvpj+eTwCy6hgqpzcYXWXxmQ8f2VbO+jYEuCOZ7zPrjybfib1kxe9I6gw6zca3tmPMjAv/8QPTfOGvzNwKXv2TN/D05O7M5EQEDszN8mXKBWUwnqfhXRfwkPJSIyTb/dErCX9Ylzp4EwJtoGph1QYj8ZoNgNt728KER+vjdExYN63m5lgBagNnVzdVUMzZI5SORFcKBX95JB395F9Wxj9relavokw8MZio8VjfSNW9hKItiGzGcBZQFnEUT1awPZbFNq2bxHjc8A6ywxWUrV0sIse2x23+V85sXVs36u5W5pYeJaw9zHiWzg9kYTCJototFwCJgEbAILMgIbLnsKrpz68NTP/dCoCyUn14BsCRAu/m152bMTYCsbBAwK+99QIvCX2tiiyh+3k0N7PFa37HHdR/r7aZv3/EUfeexvgw7g4uXl9HLtk0oXh2YffMWlxOWsWXTzuE65y8LGLuNLb627ZhQpX3ujFo6adGELQEeRKNYLFoamMUHAmcREy/f0idfKmAWilkoZ5OahrMazGrxhnw+muQ9wYOLBZr5zE79z9NGWNgRMDA7/6+/gdn5f41L/QwNzM7wFYJaFnA2WwuBWa2F8JfuS+IVGvOsir10VsW+GT7LwOEKBbNIKNnSAP6yWLbmmuc/64NZfVRA2g+94RTavHFF6uPnvnET9e54nqoY2n55eBk93lueYWPwpYuPoc2rY5UGq1EGVh5P+ypaU2MAzD6xv8fZF/jNB7MD3Hc0roLskmnMn3+BhQEUs7lafmA2GkVuVnKNmc92U8vmEyXrYxGwCFgELAIWAaJpsTMoFMrGgQ/5zPqAFopZKGfRfCAr188Hs/q6AtJuZLXsySsaqSperYTti9q3u25Dzz1FN259IQhmXzveTuePHOGH7KOcy43T8Ve9i5qPj+wNbvjZg3R4mKEsq2ND7e0bq+gdG6ujHCe2MJB+5ZwfVjdHK6ZSzRXCnRtgNpvPLM5HwGxScWD9eUis4TTUyv7MwKz9l+r/s/cmcHId5bn3OzPds2/SSLJ2ySteZNkX2zhA8JKYxWAIIRcuxhv3C3C5BBKbfIkhXJN8seHaAQLEmJAEbrDAQEIgBhPAYPYLxJbBsmThXV60r7PvPTPf+9Tp6qmuPqf7dE93q9V6il8zM33q1Kl66gje/vd7npcKLEwBgtmF6XcsnE0weyzsUn3PkWC2yvsbB8yG2Rmk483Q2UaBWQRr16DwV+NIlVcZcrkSwCxA7IzCTQTkYR8+btRs2W2aNVuoAc7+11MXiXztnkzXf0iskJ3NHblg9vUnybkn9UmDFvxqaGmVQ51rZWA2mTnv4NiU/PCJQ8Y/NqzggrUzmFJftOm0n6w7v0YUIRsYjAVmzYeRvHYG3mcSvwpaIWEijttHEUs8nadRASpABagAFTiuFFiQnUGJUBYC5ysAZgGt9ZmNgrIYJx+YxfGzVnTJyX1tsky/2LatbfyIJJ/fLqkDQbLBK796yPx07Qz6xkfkNYefkV71ru1pbpTtGy+QLgWzdyqULdRcMGstDOw5oWA2ffBYyJjdJd3y741nmCeqzD6GOFEgpNMk4SAGNtnR84r59gZu1mzYZwIWACt0t/E4FcivAMFs/d8hBLP1v8e1vkKC2Srv0KXvvyPWFd2s2UJFwdwgzPeevanl17GuV/FOpYBZndTMdMpkWYQF2nHBrF3bmqlR8+uayVH5RdeyHBuDjcua5ZNvf6k0dgSPl0219sje2U6ZSme9Asoe0heyZfcNBRmzSB5xIS2yZofGp42FQVibUc/Z3du3GThbsCFDZLYweHbHCWwNCo4c2YE2BqVrxzOpABWgAlTg+FSg1KxZA09j1aKyhauy9c0HZm3PpevXy5L164KYBRVRQ1o+MNutUPWslUFc1KGWBut7tOhWuvU8/yuZObRPZsdG5JX/etC86/vMvu7Jh+Txxcvl8b75OgBx7hLYGMDOwM+Wtee2Lu7KGQZ9AW2jWkErA2MLEBTiDaWlcSYes8/fNV6Y1dPujAtrU4h/Q6itD2aRiGH2N4zwpq/CAmAxN4bdqECIAgSz9X9bEMzW/x7X+goJZqu4Q/n8ZRF4BQA2aBbM2mqs/rfl7rQRiNlzXSa3rnFYrk0+WcUV5rnU3EwQ6Ea0WQWwOT6p6QBz4siwAbNNzcksQPvqu/sXtDYLIX9y/1a57JobBWD241eeLYkTVstMolUmOk9QEJsyYNZCWVzQBbOZ/YKPrM53XDNl+4cnJDU9q5kOwW4YVupks+75zSMyPlQYzBZjZeAKUTKc1TXct+k2ufjCjQvSlSdTASpABagAFTieFCgFzC4UykLf/GA2sE9q7e6WlWecNR9fpuEs4kzrf798cZsp/hXWkC3b3TafKQs4Cx9//Owa3CmJ6TEDZv/5u1vlC4+M5vjMLuQ+QAGw2RTix9zmg1k8YdWQ0FixZX6u/lmRYDYDZO0Z1QezOXPVKSB2VDRrDuXLmDWxpok350GuH3Hfcu0VsoEFwBZyO/Lc41gBgtn633yC2frf41pfIcFsFXcoCsy61gXWN8oGYJbVRhUEM8FaOiDzl1IzYNZkfs4H1vBa9SFtFpj1vvFPjU9KanwqszxA2u1DIu//5diCds96qdrCHR+5pMfA2cTyNZI65XwDZ/cMT8uYWhI8Nzieda0tO3UCIW1YM2oPHxnPm7Xw9H/+PNa8TbZsnqIO+QaJDWe9RyinHvt2rLmxExWgAlSAClABKjCvQGw7g9jWBekID4W+Ilo4mLUgbx7NnXThiyPHQLZlkwLNro5m6dVXa/M8oHWzZf0BlrYn5OTpfdKw7xlz6PM/ebrsYPabL2/LSlpw59Dc1S6NaZhsbK/0uf/G5kRxYDYHyNorVB7M3t+wSu5vWB26L6ZorL6mU7mPQOFYWGgY5TVrL/CWS84XeM2yUQEqULwCBLPFa3asnUEwe6ztWP3Nl2C2inv63s8Ghb/8gCrKUzYsgzZsuk3ImNUDJrvW6XCRFv26OFELhb+yway7hgDSqo8W/FjzGOkia9Ztj/TPygd+NQ9rS9lGC2bth6l737jEQFm01KkXyFhDi+xU2wIfyuL4UwdGZUSLWdgGIDsyNm3+nNL3kS2LDFr/qTJkyiJjNk5bCJjF+KFwNuNnlpu9fNGLzjYZs2xUgApQASpABahAcQrEypotI5TF7IKsW/f/z4MsWb+t0IzZNs2cdZsBeemgMaHZr8k05ASYBaBFO29dryxO/46/Yd3ktjOaBqTlua0yNxo8BfTyu/aZn76dQXFKzve+8uSkXHlSIhTOWjBroayZX3tLqPWVHTGTMRsJZDM9K25lEAZmLZDFLDBFWBn4zX/CLmdPQ8TGrhHMlnoX8jwqIEIwW/93AcFs/e9xra+QYLaKOwQw+/Aze4JH2x06G2VTYB+Fz2djgGDL9ZRyvzG/tmYKf0WDWSu/KeygMNOCWn9b/KzZL+9IyVf0VWrLsTFYmlQbg42SWLEWz46ZYY90rZVf7x02GbN+s3YGALJTalsw5fSBjUFKvWTRTG6wA2iLArNFFP6K0sHeZ/pRraCP3fc33Wp8d9moABWgAlSAClCB4hQoBGbjWxfY6zoQNANbs8HoPJgNB7J2pEWrVsui1cEXz2gulLXvtTmFvfAe/Gh/58xlsqIr8JTtaknkCLK+cUg6GoJYbG5kUK7/xx/Lw/unMoVVY2cRR0htwKy+Ms3A5ABWJtqaNb5qNJmythUGs8g+jnrOzJ1E5TNmUQDs61oALLPb6SxZ+3cYmLVPz/kes+7M3UJgeN9+TmABsIibjG9TgRgKEMzGEOkY70Iwe4xvYB1Mn2C2ipv4ux/4dNbVCoHXOP6yPpjFBSycrZ3CX4XBLIp8IWsWYLaxqSkU0LpwFtmyyJottflg9pwTWuRvrzlPmpbNf3DZMtoqz47MXyNTkEEvOqJFvrY8N5DJknXn4YLZ7IC7wWTLxvGXBb0vtvBXqVrY82hjsFAFeT4VoAJUgAoczwqEgsiismTjqpcGtI1NWpPAtTrIzZbFiBbMhgFZe0UXzALKwn92ZW+rrFzUZrp0aiatD2nPajoSnD47LbMDh+Wzd2+WLz0+UTaf2Rww68gDGwM/O7gQmEV2cVhGcajqeSwk4u5SoX4oAOZmybr9fTDrWprlA7P2M0AmMcAZlAXACu0Ij1OBcAUIZuv/ziCYrf89rvUVEsxWaYcefma3vPez38i5WvDNf+4j7+hoM2vz+cuax+VD1rCmYViu0YzZ6rV0FduwC3oes6FdNGM2NRlYAaCFAdpyglnfX/ajL18i5yxvlcYT1ho429/QJgMN7bJFM2bD2iO7h2TXPi1Khg9cCpPdQB8BM+wM/IZ92vfY9lhgttTCX6XuN20MSlWO51EBKkAFqAAVCBSwnvXzwUzabqAiAiHFMhdO5l6qQW0MeuSEF2h2ZojNge1v7QwslMX7Lph1x7WQ9sKuMWmcDOKk8Ue3yabN+xTMTpYNzG5Y1CgfvqA1a0kNCYXRtlAZCqs6T6Ada2AWGbN7G7MtJuxiZ3RtSAYOszvLB2ZxPuCs+zSdHZNgtiL/EDnocaAAwWz9bzLBbP3vca2vkGC2SjsUBmZ9O4OwqRivUs/Ty+3nglkEYmj476oX/ko//h8E/R4qjgFmMe/psckcCXxAa+Hs7903saCd8/1l73vbKcF4Ov/UyefJ3sRi8+e+4UnZN5LtZbvzyJjs1AJfkxMpmdTMWdtcSDsxHrw/k7Y4mElbG+zZtjnWvAv7y8Z5FC/WpUwn2hjE14o9qQAVoAJUgAqEKeDaGURZM5VHOfOtcBC2ZGXMho+OL49XbDh/Pl5Jx5VNacCJOBNgtqU1YTJl3Xb+iYuy/k5qNi3aoraknLeiSxY1TUnDs/o00GOBf/5rvhUURy2Xz+w3X9E+P28Xytp3YYWVbgXBbEy90sKWZ6vyjGJ9ZoPs1mxubv1lwzJ87RN1UUPbzwPGSsvpdMu1V8iG9Ssrvi5egArUmwKf2/xcvS2J6/EU+MML1lETKnBUFSCYrZL8d/5gs+AFbBqn+FfcaQHM+kW/cG7VC3/5hRRcQBsTzKbSVXXD1u4C2gefHlxQ4a9Qf9k3ni6JZUGw2t+5WkYaW2UamRja3KxZC2XtHIcGcwExYPrY0GSOHcPk6LAc3vFYrK2NBrP2wxiyREq3cvAnQTAba1vYiQpQASpABahAXgWSL7g8/uPyJWk5D2VxemEwGzzV03fiadLc0RV5xaZEo7R3NRtrhLCsWQtkk2lwu7yzWZZ3tsi6Hj1ncL/M7X5KpvfvlT/7/j7ZdnimbD6zHzq/RTYuSUgDrAvCIDTiz3S8luwKbBfytcJ6QdSQJINCA5dw3C8AZiEqLp9eUuiohcBsmM8s7oErLz5P3qwvNipABYpT4J8eIJgtTrFjr/fbX0Qwe+ztWn3NmGC2SvuJwl8PPb078mr5smKjTrIBXG7NVpGqF/6KqnCL6NIwxNxH+/11WZ/Z/AF1gzy8Z0Lef/94yTuXA2aXJOVvLumR5LIVMrvyZANm0RDYTmhFXJs160NZ9PGzZlHEbGJMvdZSuui0zYGdaFFgNqfwV/YHsQDKhu188bLQxqB4zXgGFaACVIAKUIEwBS679kb56QPbKiSOFwvoVeYLgIVfEgWy0Do1xulKfwHt9nQflW9T2Oo2ANqkZqlefNaynMFPWdxufGd7Wppk8eQhA2fR/s+9j8imBw+Wzc7gLac2y5WntUijziOypS0N4oHZGNC1Cv6yWItfAMyuzzpO+Ikc9rhfRNjVBZGhzZjN2mf94y2XnE8wW6F/mRy2vhUgmK3v/cXqCGbrf49rfYUEs1XaIYDZh5/Zk/GN9S9bCpi1NgbW6N8ds/qFv7J9vrKCRGTMKrAMEhDCC1Ogfz4wOzsVWAPMapGwL+9IyVf0VWrz/WVve1m3bFyqVX91apMvfr1MJbIzLiZ07j98+ohsV19Zv7lgFlB2Ui0MkMlgwCyaA2cPabbslGbNFmyZwl9prcI+IMwVBt0Fr5PuQDAbVyn2owJUgApQASqQX4GbP3WX4FWR1hACJ/MUtAoegw9iCR/MhnmXtrTlWhk0a6bqC9b0yAotBOa2c5fPZ9+eKP0GzKYOH5DP/+wZ+eL2sbKB2f+2vlHevD5YN/xl0WC3kPndAluFs8nO7DmG7kGcAmBVArOYHwqAuc0WA/Psc3OWEuUzGwZmcQfgM8OGdSvkluteW5Fbk4NSgXpWgGC2nnc3WBvBbP3vca2vkGC2Sjv0ux/4dNaV/MeQjA9UNLPMmaUNsuwBPxCrPpjVmeR5tB5ANdPMOtPrdRYNeOsWAMPfeGWdq2d+4FdT8kh/6Y/xh4HZF565RjNml0t/zzqZTs77mWGm/ePT8h+/OSi7+sdNYOvvE+wMLJRF/ywwGyzV2BrEBbNz0NFUfMj2eZsXkDYGVfpny8tQASpABagAFShKgZ88sFVefu37ijonVmcTE4QEipGgMbswKWwMYGdgwhLjZ5o7VkIzYJP6sg19kmpx0NPdIst7WjNwFpmyyJi1rVfGpWfHZpk5HGTNvvKrh8xP+Mz+5P6tctk1N8ZaYlinDb0NcvO5iYLnJzpapVnBbNa6wgLrQmC2SjYGdkEumLVQ1h5DKBj1bFQcMOt/VsC4LABW8FZiByqQowDBbP3fFASz9b/Htb5Cgtkq7FBY4S9c1n0UKSpIjpqeW/TL9rFwtuqFvzITiIalsynN8Ix6Jsv5gDA1MhEKY10dFlr4yy1IsVFtDD5x7QulsaPTXOLAEq1arA0wNviZkkEt8vXI3mFT8Ms2G+s36S9jY1MyMjDvNTur9gdzvjmYrnHv9gdj3W1ziMTztTLaGOAyU499O9a82IkKUAEqQAWoABUorEDz6a8u3KmYHlFQNj1GmG+qtTBwL7PirPOMf2xUc8GsBZwWzOIcC2d9MNshU9L36I9ldmTQDO2CWfydPO3yYlab0/ffL9GnmiJaU0tSmlqbDZA1xcx8GJtZ7nxCQF6f2Spmy2JJX2s4Q3Y3dOsX/7lTz5c1G+Uz69oY4LOC31gAbEG3Ik8+ThUgmK3/jSeYrf89rvUVEsxWYYeiwKy9tOWVxWTMAgiGNcDZlzXtMcW/qt7yZMya7NcCwBEwc2ZyWmampg2cjWoLAbNh/rK3XaQBMcDsqpPk2d7TDIx1G6As4Oygwtoh79ikvgc7g5npmQyMnU3pWp0UB/w+OTYsA88/YbJp8zVzvEAfFadsW0sbg7JJyYGoABWgAlSAChgFymtnkOsr68vsg8YwKItzelafIi2d3Rl2aQqrZlyTgl/gM+tmnbpgFsdPPaFTzl3ZbfxlE3oyXi2zk7J0+rA5P7X3Ofnn+x6TL/5m3s7gsqtvFGQSl9rCwCyALBqgLFoGzAZ/RF9Kj+X1q60ymH2gYZVsbgpqG4S1qHA4CszaKDNKART/YgGwUu9Enne8KkAwW/87TzBb/3tc6yskmK3CDt35g82y6YebM1cKuFsQOrkMLq7PbNijSfYbcoxa9cJfdmVRBcCwzgJgFlA2eM0DWZzjQ1pYGMDKoNR203uukg++52r569u/KDfffpd8RIt+wV82sXyNeT3dvMpA2EmFq7ZZMIu/XThroazZR0BlhbNoLpg1/r+6KdNjIzKw80mz75Fw1vQtVNCLNgal7j3PowJUgApQASpQDQWqDmaDx67M0lxfWX+tbYuXS0ffcuPRGtaaNJu2pT2ZZWfQrr6z7W3ZGau/t3G5rOxqyQzRnRqW7plhtTLYZ977/H2PyqYtA2XzmYWVASwNbLNZsu4assBsIEToGuFNG2bjkBYPJ1bjFslc434Fsw80BGDW2cbM8ais2agCYG7dCbsSY5eWHpFgtqrby4vViQIEs3WykXmWQTBb/3tc6yskmK3CDt3wT3fLlh27C14pLpi1jyZZiOejvJoEs4COsDMIaRbK4lBYVq0LaBcKZn1/2Y+9br2cf+HGzKx2t68xv5sM2fQLYNZtsDRwoaw9BiALr9mZ6SBj1mQzpA8CygLO2mZ8ZL1WKKPYdC+zjcH3N90qyCJmowJUgApQASpABcqnQFntDMKKfrlTzfimZvvK+qsBmG3Xl/EyDYGzieZGQSwKu4Ok2gKgjwtmm9VvFq8XaNZsV6sCW1gHaNvQMSWd+/Hlc9C2PHNI3vv1p0x8cd8Xb8t8GV6qurYAWBiQtWPGArM1li2Lue+Sbvl6Y2CjlVlL+hcLaqOyZqN8ZsOKAmNIwNkrLzlfrtSsWTYqQAXiK0AwG1+rY7UnweyxunP1M2+C2SrsZVwwG9dnFoFVvrzKo1L4y+iY/zF8v4iXOSOdKRucnj9jFID2fb8clW2Hsq0GitlCC2at39l9b11nTm9o65SmvhNkT998cDwyNSP/+dyAPOd4y6Z0Dv1DkzI8ZD1ls4uBwV8W0NZPfPXBbLBc7KLNnI5hYWBOoo1BMfvNvlSAClABKkAFjoYCl117o/z0gW1lunQBO4M0mI2yMLCTSGqs073qlCDuSRcmtdmjsDVIKph1W0LBa09Pi/RqdiyArG0rtRDYyt5W82d7slHWdLfK2skgAWFmeFAmH98ml389sDZwff1LFePKU5Jy9VkdeU/PAbN2ke5ZNQhmMT23AJi/SOyTiZVt0VynQylgduP6lXLLda8tdSt4HhU4LhUgmK3/bSeYrf89rvUVEsxWYYcuff8dsa8SJ2sW/jCcWLMAACAASURBVLK20Jc/8FEr/GUnksdn1i8AhuzSLMKcB8ymJqZkRl83bdFCXAOFHvcPl9v3lz1neat87FUnmM5Ni5fJTKJNHu+dB7OjCmZ/+Wy/7FcQ67bDR8ZkRrNj8fLbtJ4zNTljHpNzn6I7+PhDoZOycDZWtqwB3wUKg8W+00ToL1uEWOxKBagAFaACVKAIBaptZ9DYhOzVwo/h951ybtYqkB2LmMVmy/pL7FYAu0RfLensWBy3YNZCWbzXkxqSHrUzmHhsq4GzN/5syHyR7n8hXoSEma6wMYCdQaKjNdIfNhTMYgQnGKs1GwO7wCgwazKb9ZVCUdl06OvGl1E+sxjXtzRw7Qzu/uA7StkGnkMFjlsFCGbrf+sJZut/j2t9hQSzFd4hWBggYzZu84Fe2Hlu4S//caVaBrOuz2wOlMVCI8CshbLo8vs/no4rZU4/H8yee2KffOItG6WxLcjCGO9aIU+NzmeE7OgfE8DZrTuHMmNNq4/s0HAAal04i0xZHMNPk9ngVF9IjY/I4K6nIucNKBtmbZBzAm0MSt57nkgFqAAVoAJUoJoKVB/MJmItDxmzyJx1W0KzXpMtgS2B25o0S7ajO/CS7VKf2W71n0WzYHaNHrN2BrDZ6tnxgDTuftr0uevRcbnrsfGy+czaAmCAq7A08At4RYJZTCbtCZC/6BegdmGwHUvkIjt9reEM2d3QnTnLAln7hgtm7XtBprMTb4Zcc0aD0bC6FASzRW4Qux/3Cnzm/mePew3qXYB3Xri+3pfI9dW4AgSzFd6g4sGsLdwQPTEEv27o6GbPXtS0Vy5O7K3wqqKGz/84vgWzoVAWQ3pg1gWyOIxMWWTMltps4S9bHfh/X9gu5597krSsWa/Zsq3S375c9o4E4NdCWfz+9IFRGdUsWLQhtTCYdjJlTYasetGm1FfWbQC0tk0rmB3anQfMKnA1mbOFCn+VGcxOPfbtUqXkeVSAClABKkAFqEABBarpMwsbg4bG8KJe7jTbFp0geLmtUQEsbAsAaN3WrhYG7nstehyAdom+/5L1i2SpgloDRNNZqZ3jh6Rz4rBMH9grn//J0wbO+kVXS71pLJi15/t+s/DDjSpqZs5RbfKD2cLalTr3QuehANj9TgEwZMm6LQzMFhoTxxGJhqHmW669QjaopQEbFaAC8RT45M93xOvIXsesAn/y0pOO2blz4vWhAMFshfcxH5h1bQtcJhdRSDYz07Bvv3EQ2bPXJJ+QdY3zRaYqvLzs4Qs8Zo9M0pkpBZ9RTgRpMOsDWXuRhYJZv/DXh1/UJhv7mqT7pZeYbNnRhhYDZvePTMqB0anM2vYPTho7Azdb1h6cHE/JxFhuFq+bNQsoCzgb1Wy2bEE7gzKCWdoYVPVfBi9GBagAFaACx6EC1fSZLRXMAubCzgANcanNnHWzZf2tW6Yes9ddsFqatL/7FJcFs6mDe+WhR3fKn/14MFMA7Cf3b5XLrrmx5LvAFgBzB3CzZ/OBWcTYjc0JA5HzNoXbR6MBzD7QuNrYFoS18IxZ9FRrs0Jf6ocM+GYt/oUXGxWgAvEUIJiNp9Ox3Itg9ljevfqYO8FshfcxX+GvOH6yYdOrSTAbw/vUeMzqY/u22VjSBpWAmanxSeMlG9a+8uyM/MuzpXus+gUo7rk8eJSvY8O5MnHiC2VCM2GfOjJhsmX9BjsDN1vWtTEYHw23V7BZs7HBbKGsWYLZCv9r5fBUgApQASpABcqnQC3aGSRaO6R75clmkQCVyJb1G+Bsp8JXN1vWhZrdmjX74lMWyyrNnO1qCSwUAGgXzQxJ+xP/KbPDA+a9V371kPlZjgJgYWDWzhuAtqW7PcgYTgeXJgfAsZVqSiqY1aza/A0V0apvZ7BLuuXfG8+wjgs5U5zR+NgJnzN1DIKwsfi6CwSz5fs3zpGODwUIZut/nwlm63+Pa32FBLMV3qF8YDawvCo+APTBrOsze1PLryu8opDhTVCYPzDM+MvmCSBn1KN1ciA6s3Qhhb/sBwObsXH24ib52BvPkJa1682CploXyYGGLvn13mHjK+u3x/cMy56Do6FFv2Bn4FsZmM8Daa/Zw09tybsnrr9sXkuDMoLZ72+61WSxsFEBKkAFqAAVoAKVUaC8YFbn2JDrA+vOvLEpns/s4pOC//8HlA2LQ5FB24WCXwpgw9pZq7ulJ+03e/qSjgycXTk3KG0ybcDszN5n5U+/+axsPThdcTCLOTZ3tUujwtew1pAucAZwW6tw1hYAs58K0ra4ZjkWzPqfG0oFsxvWrZBbrnttZW56jkoF6lABgtk63FRvSQSz9b/Htb5CgtkK71A+MGuC4qjnlvLMy/eXdbtWHcwWA2XtREPgrLE50IxaZMvOTIZnoC4EzPqFvzYuTcon3nGRNHb1ZuTbPNImTw5mZ+Rabr79+UHZvW84dFeQGTupPrN+w5qmxvL7ywaFG7KhdiScLSOYpb9shf/hc3gqQAWoABWgAgCGp7+6DDqkI78Cj9rHtTPoWnGSNHd0ZywM/Am2tCbMsWb9GQZnX3JaX9YpKzVzdlV3q1gwaw7OTsvnvvYL+cKDBzI+s9bjvxRBNvQ2yM3nhoPXZGeb8Y8N9dhV6Vzv2Sh4mz2n6mfOWjDrziNfvI9+BLOl3Ek8hwoUrwDBbPGaHWtnEMweaztWf/MlmK3wnl76/jvyXgGZCsUmzdpAzc9RXdc4LNcmn6zwitzhCxesAmScg4VB1mm52bUoCGaKgmmLgrO//+NwYBtnwX7xiY9c0ivnnrxUkqeda04/Iu3S39Au9+8czBluaHxafrN7SIb7xyMvFWVnMDU6LIO7ogt/hYFZE2y7z6zZq5YBzGI/DKT+wm1xZGMfKkAFqAAVoAJUYAEKwFf1pw9sC0Yo6iGpeDDWnVpcMNu+eLl0LF0Ruaq2jvlMWXjNogiYbbAx2LCmO+fck7sa5YKOEWlArKKv8e0Py6bNB+RLT05WrAAYJtHU2iwJfRl53TTT9AxttqydcLysWTNYsRu2gLtE5GsNZ8juhlxd7WeEsAfOSgWzmOjdH3zHgubLk6nA8aQAwWz97zbBbP3vca2vkGC2gjuUr/BXJkAswc7AWhm4FgYYr+pgtlCxrzAoi4mGRJewMXAzR304W+7CXwCzG5clTcZs6rQLZE9Dj9mSXYMTslsLfbkNUBZwdlJfUyGZsehr7QwMiLZJt/r7oBb+Sk2MRt5lwZq9jNkwKGt0w8DFeYllNHVOs9nDFbz1OTQVoAJUgApQASqgCvz17V+Um2+/K1SLjI1AFrC12ZpFUdzM+HHsDABm2/Rli365k8N7yJh1G+AsMmfxc01fm77aM4ctOOzU4lqXrW6R5Hi/zDzzuEzufFa2HZqR998/likAlk+LODcLMmaROWsbsmSRLetOJsuawcuWtf3gSRvLSqyKxcBQAOz+htVZMuChOuirD2CFhc4lZ8ziIgSzce449qECgQIEs/V/JxDM1v8e1/oKCWYruENxwCwuH2VngNAzDMM1Iss2PW8cB6BFu6hpr1yc2FvBFblDF86WNcW+ojxlnfetjYE/8enRiUy2bbnB7PeuXS+JZUG2yOGlp8toY5vMpOfkZs3uOjImu47MZ8pGwVlYGUyHQNuhPU8XBWZDM2WtMDHBbGCFEH0bIFv24gvpL1ulfyi8DBWgAlSAChzHCsSGkQbCaXGqBcLAhsbC0NEvAOZmlVobg7AtQ+bsxvW90pvOqHXh5vreNjllUau0Krxt3vWopJ59TGYGB+U1/zFkhkIBMOvzX+rt4BYAy4Gy6UFdOwM/W9ZetxazZl0wCxjrOp1Fg1nYYYWrab7214PmybyQLrdce4VsWL+y1K3geVTguFKAYLb+t5tgtv73uNZXSDBbwR2KC2ajioChwq2fFYvp4n232eDrmuQTmjUbXTyrvEstBGY1WFRrAkDX0OZEkn62rO0PsJtSOIv2lWdn5F+ezfZ/LWY9fkXg77yhT1pOPFUaO7rkSNcamUq0GzA7rX6xzw2Mm6xZa2HgX8e3NHCzZWdT2XM8smNr3mlmFf6KypS1I8QFs1Gap8chmC3mzmFfKkAFqAAVoAKlK1AQRuY8ObWAjFljjxXEiMHP6KxbWwDMrswAPM2Wbe8KbAHCzk02N8npCmZXL3ayVNO9z1raKb2tTbJIs207j+ww707uek5e/pnAxsGPw0pR1AWz1lfWHycDZiOyZTPrjSwEZi0kSstYLmVdOMeCWR/K4hhC5rDQrpCVgU04cHfTgto3X3ye4MVGBahAYQUIZgtrdKz3IJg91nfw2J8/wWwF9/Dz9z0gd/5gc6wr+Fmz1q4AJ7tw1n3fH/iqxOPVA7MxbAzs1/gGzvpf6af/jsqWtWuzlgZlLfy1JCm3XRT4eDWceo4MLD8zS8opBcrPqJ/s1369J3Tv3KxZC2VtR2QnWDg7PT4iw3uDDydRzYLZvJmymcFjWBkYqfPbHdgPR7FuTHaiAlSAClABKkAFFqRA8rTLw8/Pa2dVBKB1gKx/oShAiwJgybbOTHcUyMIrofA12dIUOt8uzZhNJBvljFVdAq9Z2zqSTYKMWWTLrm5JSdtw8PTWTP8huf5LD8vDe8eNtz2e1ilHATDXVzZnomktorJl3f7ZhcCs3gva6pJPhr/s3U1nhJ4fBWbReTbPl/FhyR32Am+55Hy5kmC25P3iiceXAgSz9b/fBLP1v8e1vkKC2Qru0A3/dLcgazZO87NmXbsCE3jBu1R/5gOzf9H8qziXKk+fQmDWz/7E/N1H7NPwMCpb1p0k4Ozr7h0red7WU9VmrWxcmpS/ubhHEivWyHT3Mjm0+OTM2NB3XLNef/TEYXlkT/D4XVhD1uysZtfCwsBveB+gNS6YjQVlcZEYGbORGcrpSdJftuTbiCdSASpABagAFShJgRwYWVR9AXRWi4OwZh9Tj1VF1habDTJB2xadYF5oFsraS7S0J8x7brNQ1r534SmLM4eXtjfLso4g0/aUjlkDZqf3Pidz46Oy6aF+8/KLsJYkpJ70zVd1ZIp9RWqiPgD+/LP62qRY2D5o5mzRVXhLnXyB8+5IXBjaIx+YNbUN8nwf72bNYnD7OYIZsxXaRA5blwoQzNbltmYtimC2/ve41ldIMFvBHSoGzJrAOG0oFQVfAWejvKJwfk2DWauzC2j199RULthEV9ggGI/a9O+/9/15n9dit8z/MPCxK9bKuSf2KZhda4Z6vmVVZsgjY9NyZDwlj+8fkV0KX2FnENbGR6dkuD+wWQhrgLODu57M6y+L82ZnwtcfOmghMBsjW9ZqUayG7E8FqAAVoAJUgAqUpkCWz2xRUNZeLyR7Nk+WbKFZIpZsW7RcOpasCAWYpgBY+3xGbGtbQtqcDFmM363vnbEqePoI2bLImkVbMblfeg7p00KI9/TJIQNmtwyUDcze86r5LF9cD5mxbgNoTbQpJM5YOqSPRsDrhqbsQmeFtKvk8Sgwi2tqWBweGhYAs1FP3W1Yt0Juue61lVwOx6YCdaPArT96sm7WwoWEK/C+S0+lNFTgqCpAMFtB+S99/x1FjW6zZv1sWQxifWRxLKytbRiWq9VjtjqtkL8skjsL+MHikX+NMlPjU1kAFkDWb4/0z8r/eigckMZZr//43McuX2HAbFPfCdKgj/HtTy6RvRONBsja9uDzA+bXQQW1Ppy1VgapaZ2/vsIaMlcHdj5psmajmslymA3gc+EGzfNrWihbFtegv2xhpdmDClABKkAFqEA5FTBg9lN3ZfxfSx87yJ51C1yVNlaDNKvH/qK1p0Webi0NwqCsPWmVes3Cbxb+srAxQFvWMCrdqeH5eOqXD8mffvNZsU/sxC6GFjGzD53fImcvDrdagC6NCoibWpLmZ6wGr9kFFlyLdZ0YnWBlAEsDvyHy90oYZHUpZGeAzmGJHXd/8B0xZsUuVIAKfOgH1fqMTa2PlgIf+N3o/z88WnPidY8vBQhmK7jf+cBs4PmV+/gRwGuTZs7iG27b7G84JaEBZNhjS7UFZgEc8/ucYm0ptSiYndYCX2OTeXeh3GD2vneeKY2dPZlr7mxfIztSHZm/h9We4PED80DVhbOuv2wUmMXasUeHntySd11FgdkyZMtiMvSXreA/eA5NBagAFaACVCBCAeMzC64a/NcCmmNtUJSVAS45XxwMfy07/YV554FCYN2LWvP2eeHaXjlvTY8W/prPPO1SMAs4O/30IzI7OiSv+PJ+MwZikILF0Aooc+XJScHLbwCxrmdsU0siHsCuITD7QOMq2dy4OmtppoSb7vOMxpZRoXU+MIvBop64I5hdwD9DnnpcKUAwW//bTTBb/3tc6yskmK3QDsFbFlYGUc0v9hVnGgkFtrbarl+J9WVNe+RlTUGxhYq3ApmbBjgXALPIjDVANu1hNjM5LbMRtgb/69fT8shAgQzcPIv2KwHf+6al0nzq2QbOTjY2y6HmJTKmgPjw6LT+nDU2BsOT2RYDOw+PydjwpMx4KQsunLVA1nz40EzZwV1P5d2KcoLZLP/eGFpU/B7hBagAFaACVIAKUIGMAlEFwGxcFx/WluI5mw1k7aR6154qze1dobsEO4MmzYLt6WuL3MUutTc4R6HsiX3tpk9LOqbr1uJha3f+p8wplJ0dG8kCs+gXWQwtxv0SBmZ9KIthGjRmRuZsnFYrdgY+mHWzXPOBWawxCs4iTcIme1jIa78XIJiNc3ewDxUQIZit/7uAYLb+97jWV0gwW6EdKgRm/WJfcabhglnb32bPXqU2BuvUzqAqreAj9YUhKqCssS2Ar27angF/A9D6dgblALNu4a+PXNprZAKcPbL4JIWzLRnZDimc/dmOIzLoeMtimvsBZsemTD8DQc0vmvWbtjNwoSwOlRfMxrAxcAurRdwELPxVlX8dvAgVoAJUgApQgRwFcgqARWhkQG2hjNqGeI/pG7CH4lYRA8JjFi+3WSBr34sCsy3JRlnS3Sq9CmdfqHDWbcs7m2Xd8NPmrZnD++WGf/2NPLx/KmOntBAwu2FRo3z4gvks3jAoa+fSmEAWbQytaiRr1oJZC1D9W2Ra6xf4DZ8NUqjLEPGgmgtm3XNxjQ+rx+yG9Sv5r5UKUIECChDM1v8tQjBb/3tc6yskmK3QDj38zG5572e/YSqlZkCed61ismatjUHYdDH+WxK1AGaDTxJzALd5SsRmsmXRGQtLFz2za/MB7et/mN/qIN8WWhgZBmabVqyX3WsvyJrq6NSM/PyZI7J3cP6a05olOzAyJdN6bFoza90GIDul1gcpvO8ExciWzecva3RSH16jVaFWyMYgI1z0vYYuLPxVSGgepwJUgApQASpQGQUKeqsWVRQsT9asM/0A8lrKi6xZE3hlerhg1mSYapYsfrqtRYt8tTqFwHDMQln87oNZQFn4zS4a3iWJ4YOS2rVDNm0dli9sG8mA2biQOmonvvmKIEMXGbEN6SzdqL6mEFihViNgFv6y31Cf2UwWtTfvlLHKmn8zSNjQZACNUyNtDlDPwBvHFhl+88XnCV5sVIAK5FeAYLb+7xCC2frf41pfIcFshXbozh9slk0/3JwZPQzQFpM1G5Yt6079LU2PC3xmK9/CCn85gX+MglaZbFk72YigGoD24f2T8oHNCwez9gPR1We1y1tftl4Si5fKbM8J8nzTkizJtu0flr0DE1lg1kDZtIXB2GiQNYsGKAtrA0DZgEUH3rKIgMsLZuMWCJufV9h9wMJflf/XwStQASpABagAFQhTIBLMluQ7GxPMmmzZ3GbBX1JtDFAAzM+Sdc/wwawLZdHPglnAWPjM2iJg7Ueel5angjjYgln7BXFBSF3gFrrnVZ3S1BrPpiBu1mwt2BnsAZhNnBm5etfOwEJZdI4LZn0rA4JZ/m8VFYinAMFsPJ2O5V4Es8fy7tXH3AlmK7SPPph1L+NC2rhZs4XA7PsSD1ZoJd6w5qt6vNwsDKdPDDA7PTyePWgImEVRMLStB6bkAw+WDmbthwCbnfGx3z9ZzjsjKKwwu+wkeT417522o39MkDGL9uvnBjNzPKig1jabNTuLx8b0kbLAJxaA1inWpu8dfPyhgvsxO4ss20JF0grbGIReKCRTm2C24JawAxWgAlSAClCBiigQWvSqqCxZb1ox7AwCG4P8bfW5FxbqkvGZ9aEsTgSYfcmJiwSZsm5qZufUgLQP7JKZQ3vl8/+5R76gWbPlArNvOa1Frt04742beTLNSRt1n1aLA2cbGtXyIJNdXFCSinX4++Rv5R0bdgZIakah4ExsmidjdkbjTNsTBYbdRjBbsW3kwHWmAMFsnW1oyHIIZut/j2t9hQSzFdqh9372bnn4mT15RweT854YC+2PzAY3AAvrVDUwa6FsxMrmCsDGLBsDO4auDw9azcE7C4/3O4H1l5+eFrxKbRZGWjB760s65IVnrpbmZctlZu1GOTA+K5N6XQBZgFnbntg/KiNqUTCqrzF9uW1kaMJAWTTrLYuiC9aVYGpsWAaef7LglGOB2bg2BlH74XjP2iJoBSfGDlSAClABKkAFqEDZFch4qy4EyGZmVThrtlxgFlmzPT0txlPWbcjg7NBCX//tnMCntskBfwCzeKE9+OBv5L137xBrL7XQjNk3n5SQqxTOJtpaCnrIBjHlnLE9yPku3HnDaNVQGGSX/abwBiwEZlMafybUcsJtURmzZuW6Rh/I2nM3rFsht6jPLBsVoAL5FSCYrf87hGC2/ve41ldIMFuhHYoDZnHppGaLRlVStVOD5xeCXXzrHZZgCQsDWBlUpdmMWRN851anmJvJhpj+nHwbAxRlSI1PBQW/QjIV/mLzhDzSH8OHNWLxPpj9jyu6zbST606Vpg0vyYBZWBi4zdoZuNmy1qoAnrJTk0Fm7ayCZJshYrNm44DZINM2hkXBAsGsmaRG5he96Gzj7cZGBagAFaACVIAKHB0FzJfEm7dGeogWN6vygNnu5auke3nwJFFU6+1tlaV9wRNGCNdmnWC0S+0LzlvbIyctas8kGyQ168CA2f1PyuzEmMyNj8pl//yMOR9fEodmDxexeIDZK/WF1tyl1y1U4AtZoxpvNzQVKARWA2AWVgawNPBbQuePzwwjE1okV+M6F86GgVnDmfUWmdInutxiYm7kTjBbxE3Hrse1AgSz9b/9BLP1v8e1vkKC2QrtUBwwi2+wkQkbAL/ciVgP2qDwly2spUGx17+qYBbTtKmhPpwtABvdbFm3iu7U0JjMphRSonqwB2cXCmZtlqjNUvmP1/VI86p10rJqrcy090p/oke2aHastTCwuzCs8PU3uzXzVf1lM96xzhaNpIuDuWDWZs2O6mN7eOU2u8822zYGcJ6LAW9j3MMGzG4imI0hFbtQASpABagAFaiIAjd/6i7Bqzyt8mAWiQFobR3N0qEFwNoUwvrt9OWdAjjb0dxk4Kxty2VYWsb6ZfbQHpkbHZLLPveUOeTHZaVosWFRo3zovPmiXijwhezZ0JYOsOOB2fCkg1LmWOo5YWDWQlmMCTCLrFl8frBw1gWzALL2KbupEIuDTCk4xNw63t0ffEepU+V5VOC4UYBgtv63mmC2/ve41ldIMFuhHfrdD3y64Miub6wPZ93CYC6YtYO6BQCOGpg1k5n3mi1kY4BsWVT7bUxmB/YTR5xsVQ/Ovu578/YCBQUN6eBmZpy9JCF/+6azDJS1bfdcl2wZzv2ggeM/eeyQDI8hMyGXmiNrdlJfru0CzkHWbP/zT8j02EjmGsH5uWPMIds2byvRXzZkzJvefZXgxUYFqAAVoAJUgAocHQVqEcy2dHbL0lPOyBLEPKnl+P+3KphFa1PbAhfOAsgCzNrmwlmA2VYJnqKaU4un6//+B/Lw3vGygFmM+Y3Lsm0VQuGsF781NhcqGBZRP6GKt8vmxtXyYFOQwewCWTsFC2bxt/Ga1b2agb2W5zuL42Fg1o5jY9tv/dU7q7g6XooKHJsKEMwem/tWzKwJZotRi30roQDBbCVU1TELgdkAtmZ7WVlLAxfKYnphYNYEuhqHIXv2pQ175Lcb8/vZlnWZYaBRH//Ka2OQLpLlzwNFvqaGc+ErvL62HZlZUOEv62VmH5nbuKxZPv6WjZI4YU1mGrtbV8r2A6M58oxMpmT77iE5MDSZAbO22JftPKxFwXwwiz3c/5tfmy5RQDZ9MBT4Zk+kfGD2+5tuNd5ubFSAClABKkAFqMDRUaC8YBYBYr5H8/UR9kZ88VyoyKiILQDmA1mo1Kjgr7l1Hmh2dSQlmQjiV5st66oJOHvmomYBmFVDfnNo9sBOueGLD8nD+yaMrdLFF24U6/1f6k4gYxaZs25Dka/m7nTWbsiX6vGyZo+uzyzA7Jbmtca2IKxNaE2EiXSBXBxHdiz2LSyJYGI6NwHA9rPy/Mf/RzBb6j3I844fBf7snkeOn8Uepyv9yGs3HKcr57JrRQGC2QrsxMPP7Jb3fvYbeUd2s2VtxyBYwuP82af61VfdozjnJQpm8apaKyED1HjI4jxvcanxSeMxG9YeGZgrK5i9ZkOH4NW0fK2Bs0OJLhnW14HRKTk4ml1g7CmFtYCzg5oxOzSefSzwh52TMbU5mNYAGc0WVpgYGZJDTz9WGLoaO4oCH5bK4S+bFpZgtmr/OnghKkAFqAAVoAKhCvzkga3y8mvfVz51osBsxnJKfVX1i/PcImDz8QdCkXXnXZiVIetOsFmzYhs9SLhYC4Gh+WDWJBbof1Z3t8iGllFpmlE7KM2WnXn+Mdm0ZUBfg3LTe66SD77n6gWDWfjMvuXU5qBGgdMAZ5E9i59hrWDWbEQNhfJtWv6RHkquka0t60ItznCmC2Zbko3Sov66yIyFnUGQ2BGMDx9g+MvaFmWbdut/f52cvX5ltZbH61CBY1IBgtljctuKmjTBbFFysXMFFCCYrYCohcBsWLYspgFYiyBrUr/hTpkqskHzwaw54vjMvrnxcVmjQbrwtQAAIABJREFUBcCq2mzQ71zUgMYw2Ii52sDZA7MZf1lv8rA8+PKOlHz5qWwoWswa/eq/V5/VLtedvzSIWledIgeXvCAznAtn9w1OyD7NlLUtDM4iMzalUBaWBm6bGB6S/U88ig3KD16rDGanHvt2MdKxLxWgAlSAClABKlABBZpPf3X5Rg0Ds+6Xuva4sYkCpM0t2orJ9K5cLYtW5RYA87Nl7cQTmjG7SouBAczaL6atryn6rO5qkRMXtUpTalKSj/1ci3+NyKaH+rPA7F/f/kW5+fbS/XavOr1Vrjo9KEjmtwadXyOeSispa/bo2hlsbVkr2xTMotkn49xlWDBroSz6AczihYYtxucG+NDis0QUkLWaEcyW758jR6pfBQhm63dv7coIZut/j2t9hQSzFdihQmAWUA/fcPutRQPJVgWztuERpMBLNjD5jwquagXMmiAyxDc1ky1rF+Z8MMjyl00fB5RFdsdfPDBh7AxKbX5WxkdeuUIuOO80M1yquUPGlpwsUxq4TqUhuLU02LJzMOeSB4YmDDBHs1AWv89oIIyXbQN7dsng3t2ZvyP9ZaMgtnvlMmbMEsyWehfxPCpABagAFaAC5VOgsmDWs0BSGGvMR218FZo9Gw1mk5otm1RrAr8B8G5Y3S1rFueC0TaNZVd3t8ryzqQBs61jh2X28F55aPsz8qff3pPJmF0omEXdgNt+uytnbvZppGR7SxCTOokO6Fzrdgb7m3rkvo5s6ykX0ALMKm7N+hyBzwrj6Se4rCApTYjA+4UawWwhhXicCogQzNb/XUAwW/97XOsrJJitwA7FAbNBNdVs/ygfzNqpJbVvvz5SH9WODpiNKGgVAhznUh5cTYPZMH9ZC2Wx1td+N9f7tZjt8n3MbntZt5y7rlda1p4oo30nyUzLfMEKANpdw5Oybc9wVrasvd6k+nnBbxYN9gWut6wLZ5Eti6xZv/mANjK7OHNi+fxlL3rR2XLfptuKkY59qQAVoAJUgApQgQoocNm1N8pPH9hWnpGzwGtY3IDsT8+rNCR7trWrW1acfmbWnJoUsDZpsoDrL2s7IIlgZW+r9GlRsL7OoDCYbciWbdPkg87mRlk0NybNk8ETXQ899Kjc8C/bjd/9fV+8TRYKZjHmt1+/KOvarkVUoiVpIKx5wgyA0kk7bUgkTDHayHYU7QzCwKw7T6zFJhS47484T3AhoQPWBo3pNVo869dFwPlvueR8uerS88tzP3IUKlCnChDM1unGOssimK3/Pa71FRLMVmCH7vzBZtn0w82hIwfcMgiRfDjbodVuYWfgtn71Pl2vGQmnLuuUZw+PybNHcgtl/VnTgxVYRYEhI3xmcZYLHcOyFczIGvRm+cvq376HWbnB7Hfe0JdJHJl58esk1dKRtcjhqVn59mMHZXRyHiS7Qf6ges0e7M8t+IVBrKXBc7+6P49w8/YGOZnFWdYQhTMcitlwgtli1GJfKkAFqAAVoAKVU6CsBcAyYDbqy9wQMGuX5gHaEy/4rcyiExqPWqhnAK3n13rS0nSBLT3Dh7MumF0y3R/4zI7qk0hjQ3Lpx+7PgFlbmHUhSrtg1vftb1Q43JRE8bOgufFo4azZo2tncFf3y3Jk6WtPSl97s+wcGJe9mijQjH1xPjMgY9ZmyALKAs76xYTdQW2keeVF5xHMLuQm5LnHhQIEs/W/zQSz9b/Htb5CgtkK7NDn73tAAGfxqJdv54XH4N3mwlkXzMIraiCdJXvq0g4DZtEGFA4C0OKnbUcFzAZRbqh6WWDWFv3ye6ow1l/WzZK13WBhACuDhTSbMZs87XIzzL1vXCKJpSsksWyljLct1peC2nQbU5uCw+MpeV4tC/YMTGRVvLV9RrUY2OHhKZnQn9hHA9nT+4m/Rw73p/1l88067feFSsV54PZC1u2fe9O7rxK82KgAFaACVIAKUIGjq0BFwGyk9VEeMJuWwRYHA5i1WbK+Qm7W7IreICPWbasXtUm7Wh5YGwMca25qkDVjOxXK6lNE0/rEkU7l0o/+pzlt+onvSDnA7K1qZbBRLQ3Ciqn6YNZc2MmeLVwEzMs0ruJt44JZAFno3Z7WHGB2l8apaG2quYWz1mfWZsva6UbBWWuPxozZKm4sL3XMKkAwe8xuXeyJE8zGloodK6QAwWwFhL3hn+6WLTsCn1E3IHKzZd3LJlGkQDv2tAXf7AMAulmbLpi157mAttbAbBD7KrVUby+/Wm5m3bpe+MuGQVn0KQeYReCPZsHs9/+fk6V57SnmPQtmp+HLNa2PfOnPMbUrAJgd159700Gvna+7J6MT06aogm0Wzg4d6pdd29zHE6MzX+dmSi9qVuwt+/1Nt5oMFTYqQAWoABWgAlTg6CpQVjCb8Y/N86RNWIEwXwKNyZasXSfLTj4xFHLarFlrYeCfDkC4RuGszZbFcTwBtnbwSZHJ+Se9Lv2bn5tT/fis1B1BAbC3vKA18nT4zIY1xKYm/mzK9c/N9D+KdgYWzNosWXcNQ2pZsH3ffMFfZM7iZcGszZZ1z7HZz5m41SkgTDBb6t3H844nBQhm63+3CWbrf49rfYUEsxXYIRfM2uGRPRv2jT6OA8oCzgLM+lAWx8PArB135sh+WXroichV5LsuTsrjsBWMGVHB18xbiw/ka40ouhBSERfnzGpQnNSs0agKwd/aOStbD0cX/koc2hN56e1pi1c3I+OcE1rko69cJg2tweN3TYuWyp5lG2U8Nb8GQFnAWTQXzobtyeDoVM71D+x4Vg4+82zhO8pkbKQK9ytTD4LZMgnJYagAFaACVIAKLFCBnzywVV5+7fsWOEoRp3sFwHLONE93Nciyk9br60Rz2GRTpp8Msn8nmhOyanFrTrasHW9Zd4u8eE2vxrRBXIvW1zAhLQ0aV02NS8NIv1z/+ftly/ODOWD27MXRgLSps0sOzIYDVoDZ03qiI1lYGSiCDRXLWBvkA7N6XvhzYenhIuLbzMXyxM/o41uXuZMcXP4CmehYEjpvH8yik4WzQ/o0HcBsWAOcDSsifPb6lYICYGxUgApEK0AwW/93B8Fs/e9xra+QYLYCOxQGZqcBIrUIgQ3ErKMBKquitah/F2oUuJmydmr5wCwC4K/8KhpSJvVRsmknu9NdLkLV/LUPcq0Y3PNRrCyq4dEqZFBEtRVaNCLf8fNXdkcxXVkuI5LY/nMZfnJH1vDbHt4nj2zdJ187+dwcD7ONS5Ny+x/9Tqb/TLJdBrtXy7D6yaLwF5oLZvF3v8LX/erjZS0l3Iuh2u2oU2gBx5799RYZ7R8ofEctEMwGVhGo51EQq5u5EMwW3hL2oAJUgApQASpQDQWqDmYBJv0CYFhoGhzaL8g7FvXKief9l0gJOloTcvIJga1WGFTsVF/ac5Z3ZR65R7+uhil9zT8hdMOnvitbntonfnHWd+7cJr91xZnSt6I76/rNK1bK4Aknyo8nl4bOK6FreOZQbu0F2xlx9eBY9BfhKQ3GrS9r2AUQu0e1MMhp+wJMQ96o9AVYEyAhI6whSeMl6xdJV0vCxO9IFEDDk11oYWAW7yPuRqFahIg+EwaUhQctokbXlxbnEcxW4189r3GsK0Awe6zvYOH5E8wW1og9KqsAwWwF9HXBLII6+9g7QGaL58tlLz+skG+1Fvka1m+7J71vu8PALIIrG3g9smdYHtk7/1jTfGAYBGAIOj1rW9MFXC8f2vMffXKlAvC1GRFhErq+V/7xVtVg5aLoR89WaUXfVd2tocHy8o6EtCKY3fpDSY2Myvje/fLQz5+WA/sV1na0y8G2TvnKRHcomP34m84wHrNo471rZKY5yJ4FmAWg3XpgJK1JoAr02dWvXl76QvMB94QGuQiCbdv+gx/HuptMtmyhTIuwkQyPDaAsmvkwFYPNTj327VjzYicqQAWoABWgAlSg8go0n/7qyl8kc4UQMJvOkvUnseGyS3PmZbIxNW7rVmCIBAP70+946pJ26VSYmNTgqUd/orlgtuHIHvn8Dx+Tz//f53PA7Nt6p2Tl5IgBsz1dmr176ippP+0F8/HVdLdsT2VDW4Q/icZG8yV6f7omgzsnk3yg4SJi8LCkB9vXj7ndMYL4OY8tlWMJYM9DaNaEC2sLO7dZNYSmUd6va9USYp1+HlihsbDbbAy6b3hSnumfh9GIqVuSjQqgp+V5hdS9Hc2h99bhkeBJL3wugP+vBbQEs1X8p8hLHbMKEMwes1sXe+IEs7GlYscKKUAwWwFhL77xUzKjwZrrQ4rLRIFZQFl8a/+C5UEmAh5Fwnu2LdYg67f02/NM0Ke/+N+G+1mzOO5mNPhQsVC2LK4VBWYBLBGc52udmlkR1Qply75oVY85FQGtGw/3ajZGb2s6C1fBLFqDgtiGrsUye2SfzI2PyMN7xuRPv7UzB8xefVa7XHNWR1D8S18umJ1M2xn8yoPbCNaH1E/2gAbBaIDsYwpwXS0tnEWmLDJm47RSwKzNks0a3xQNLkxmCWbj7Ar7UAEqQAWoABWojgJHDcxGAFm7ah/MWiiL432d88AvDM5aMGvHApwFpF3ZOBpYGQDM/t/nDJi96T1XyQffc7VcdvWNggziT1z9X+Tcdb0y16Gx7tyMjCW7JTl6WJqn9dx0+5FmzR50LA2QLWtjoDA4a5IP0iHShBZ4ndRXWFtY1my6poIzMICnnZfJqvUuCnht4teIGG7jyi61NktKpz51hqxZv92tT4Y1JdS/ty9ILrBt63MDBs6uTxcLdo8hfh3SArd+s5D2uzf/z+rc+LwKFThGFbj+7q3H6Mw57bgKfOL1rMcSVyv2q4wCBLMV0PW8P/mE2laFZ5R2a7DlNgtl8Z4Fs/gdUPBQGgi6YNbNlHXH8bNmAWVdZudnzRbKlkVQGcX8CmXL5rMxiJsta9dmHzHLgrI4+PSv1fdhQBpXniwNyfmsgoe2PCY3fOnhDJj969u/KDfffpdcfWa7AM42dXRJ06nnyviiNarxXMbGAEPu0MzY0XQGLAJ16ze780juY3IupAWcPXLgcDwwW6SNQSiQdTa+kJ3BRS86W+7bdFsF7nIOSQWoABWgAlSACpSiwGXX3ig/fcAtFlrKKEWcowXAgqds8n+Za31mXSCLqyDu8+NXPBnVnrasgo3BqUs6cibUrpmhpzT0GyiLa3/+ZwCzz2XArI3RPv7O35FzzzwRBQgMmB1o6JBpSUjH6H59HTDjwmfWtTRIprNS7UV3HJyHuDZb1p1QPjhbrqxZN1vWXtvNmrXZsvaYnwABG4ONauVlm581u1nh6+bnB2RNX1sOmP3ZowfNaciY9bNmjfdshK3ZhBYcvv/jf1LEzcSuVOD4U+DdX3v4+Fv0cbbiT/3BOcfZirncWlOAYLYCO/LCP/64GRVBsA9o2/Xbb0BTZNPCNwoA0LY1+uiSDXLte4CzHXoOMmYLPblus2b9bFk7lg3KKp0tm8/GIG62rBvQtugHguUd2UBb9j8jeDWdrP8jOpO2Bhgfli2P75Lrv7Q1J+i/7WXdcu5qza5tbpE59aAd7lml2mdv/n59HO5AuqgXAK2FwoMa0CKoDWvWf+w3Wx6X5x57uvDdFBPMFgKy9kIEs4UlZw8qQAWoABWgArWkQNXBbJTPbBCsZlyRUPxr9QtONtYFbnMhbNj7YWAWsS4yZpdPH5HuiUMKXGcDMPvTZ3JitOsu/y/y1ldqPKdQFs2CWXstC2i3py0NYKXV5EFmN2vWzZbNxMAa9I1NlT9rFuPPpmN5N1vWXtdmzZqkBU9XP2vWZsvac92sWQtlM58ZHDj7nEJp2BjY5mfNWhsDd+8AZPFCe/jTf1pL/zw4FypQcwoQzNbclpR9QgSzZZeUAxapAMFskYLF6W7BrO3rAlrYGcB7ajgdDLnjhYFZE6Dqo0kb0jYHSz3PKfd8mzXrZ8vaPjZrtlC2LPpH2RhUM1sW80hp1dwTe0Kq8SqUbRg6aDJmZTLwgJXUpHlE7vP3zoNZ+5jc31zaJ+dvWG26za04RaZ7AWbnZEIBuQW0o5r5umNg3Lxvs2XRHz6y1s4AfweAPMg6sUH1T+/9uRzaf7jg7RHXxgDVkOO0SJ/ZtB/tTe8OHhdkowJUgApQASpABWpDAZspmrEjKuxKVIaJRxQBsyNrQLNoaZ+c87IXZbxREYoALCIDE/FfWIO11Xmre2SRZnuitWkxW9sAZpc0TUhifFCDqVEt/HVArt/0YAiYfaFc96qN0oCMWW2j0iJjDdm1CJJToyaD9ucj7dI/1xpq5bRnYMLEbDaZdjod4NnEhKisURPr+d/WO4uN4zWLuDAqdkbWLKCsX3gLl7Dn+Nmy9vLImvWhrD320tP6zK/WxsC+72bNhtkYuFAW5xDMluGfF4eoawUIZut6e83iCGbrf49rfYUEs2XeoQef3CXvuP2roaMiAEfxL1tZ1e8UBmaRrXlkeEomplKSdL5pX5r2+gKoXeb4fv3oycOhgR+uhcASnq0As/lalI0BzkOhhXxPwpUjW/bQWFCg4JACaTz21deelA4tbLBMf6Lhdxnpl8aJIRlrX6LvzEnHrMJZPCZ37zYDZv2Kv7e+pEPOWdkhLStWSOOa02Wi84SMBC6g3aYFwNxs2SArQ+TgyKRmOEdX5/36pm/GupPigtnMYGk+azJow5rnUeZn2loft1iTYycqQAWoABWgAlSg4gpYMOtfKG5Rz9InGAFnHb/Wi3//VVnDI65D3YBWxF4hDT6oq7pbZLFadQE8Ik60NQ4AZvuSs5KcHDBnmqea/vGnOXZT177mArlOXw36BXvDzFQomEXsjKfNdg9PyI4jwRfySRSDTTfEi8iaHdC4eUY9VfHkvs1ktX3ygVkATPukVJh/v31CypUgCM2C+MycExGqGS9Xk5iRG4DbL/ht0S9fYhSg3bpnKNQjF5YG8KMFmPWbzZp1bQxSCp9H0jG22/9z179Jzj9tTem3Fc+kAnWuAMFsnW+wLo9gtv73uNZXSDBb5h0KBbPpDEs8do4gcVa/zW9SyNroFdBCYYUlDmQNHqEPHjMaGNKMAw3qXDjrTx3FGPDN+8hEkHGQEx9qBGmDznzLjvrG3wBbE3xqVdcID1q/6BeCVmQKIFM4qiAYglV4ly3TjAw3U9XO0ffYApht1XM6GmdlukE9yBTK4jXX0Cg3fPo+zcjYlwtmX9opG5cmpWXlamlaf6akmjv0FRRbsw2A9qn+SXl+cNzo6D4mN5GakRHNch7TrFo/sD+475D87Hu/iJbUFn+AGOnH9BZ026UzWMwYbowf8oGAYHZBSvNkKkAFqAAVoAJlVyAKzLoXqlw2bTac9b1nXTBrvGXTX4rjd7/wK6BsV7rY62rviS7A2RUa0yJeaxlT/9PUlGzZvkMzZn+dU6D1qtdcKNe85kXpsGZO461pGUkFiQyu5Re4JuDmL3cOGFDpHrPaIWN2XGO1sHg3DMyapAX8R2MoP2s2KxFBj0fF0EG/BpNdHNas9yy+7LeZxxbSWjDr2hgMaQFgFJ/dpRnAaK7uE+laCFg/YlPo2z8SJDS4zWbNWhsDP0vW7UswW/Z/4hywzhQgmK2zDQ1ZDsFs/e9xra+QYLbMO+SCWQMyQ74dn0r7lQLOJpwsWBfMulAWUwSYRYuCs4CyPengee/AZOiqEDACkkYlX5qwMk/RLwtm3cFdSGuLftnA1X0aH49oRTUEnFg74G2YVYIPZhGErlDPWYyf0sV0p4ZE/9LJN8kNd9wbCma/84Y+SSxeIsk+zbDVYmGpnhWS6ujToDYIojEOnmIbUvh6WDN1kTXrZzYPapCMBjiLl21RYDbIXvWC9HKA2fSF4/jQ2szhMt/mHI4KUAEqQAWoABUoUYGf3L9VLrvmxqLOLiuo1S+yNUANtQNYd/opsv6MU4KCX+m40k7UhbMulMXxbs2s7VZQa1uznr9Ez0fWbMf4IWkcOWyud/Ff3ZsDZs8+dZXcdsMfmFOtJ+uuoWxvfwtl0We3xsR7tAbD6GR2rQYTz6kFFkIvZNcC0row1QWzYfYEyIrN5yRl5hbCXm1CQ9TxMO9ZC2lxbJHGtCj6tUvttCyMdW8O8/RWyOeJA4fHZFIn3JTOHE7p/NFspvCqvvbgqTuNbe2xsJuOYLaof4rsfBwqQDBb/5vug9m3ve1t8tWvflVOOukkeeihh/IK8L3vfU/e/OY3mz5f+cpX5BWveIX5/aabbpJPfOIT8pKXvETuvffekkWMGn/p0qUyNRV8Mffud79bPvShD5V8DZ549BUgmC3zHmx+Yqf8j0/9W042rHsZC2bxnsnMTGfPWjDrQ1n0s2AWv/tw1oWyOD6s37TbrFl7XcSRQcCYH8xGZcuauebzMNDjKFwWdj6Aa9QjcBgXj2G1qCdZS/oxOVMwwvEyg5UBHlFD69XKv4vS2Rn4G9kN3Y3TGvhjggpmP/4NefjJPZmM2eRpl5vz7nv7C6Sxrd38PpfSYH/JaunvOzUn2+KgPgY3mQ5s0ReAdixtYYDMBJtNgeDdZs8++vDjgpcZ20bsofQboDbaDsHuVaGfcYCsHYNgtpCaPE4FqAAVoAJUoLoKlAJmc2Zo/e5j+9M6HU08p8kDQbpm1tAWzHa3J3IyZNERMV2vxm02U9Y92c2a7dPzWzR2A09smxmX1tGgANjF/+sec8r0E98Rq4MFsxbK4viQQtehySBmcqEs/rZgFr9PaIzmZrpaMOvOy0Ja9M3nF4sM3EJPlvlxtF/AKyzODgOz7vzwtBxiT2sB4e81rgGLCLeNapLHs7uGpLu3VZIaf7vNgtlxTTRoiPAGdvt/9o/fSCuD6v5PAK92jClAMHuMbVgJ03XB7Ic//GH55Cc/KU8++aR0d3cXHG3NmjXyuc99zvQD0H3++efN788884x8+ctflu985zvys5/9rOA46PCXf/mXynoSBuraFjU+wOzBg/pECltdKEAwW+ZtBJj9w7/9F5Mpa4BryDfc0/rNtV/cCX279VF+QFZrX+BOzQWzeN/CWR/K4lgYmEWmLFqQxBldWKpUMItlWv8s35srX7YsoCwyZgF9LZjFPDGezZ61YNaFsoMasCMQn9SMiHWdDdLeGKzphk/eY8AsAn60DJh9xwvM3409fdLUu0RmE60y1b1CxnUMmzWL4z6YtXuALAtAWut/a98HnP3uPT8VZM3mTUUO1F8QmC0GyNr5EcyW+R84h6MCVIAKUAEqsEAFygJmQ+Ywn1WbC2HjTBnn9yxdLBe98qWmWJWJozzbrW79cvyEzhaZUpCIp43cZrNmuxQUdukX6RaoNs9OScvkkDRMT8jF7/93c4obpwHMfuhP3hDEac7UkTUbVdB2824tKJZuLpwNA7O2CBji46k8Rb4wXL4iYPZ6rndtWNzsw9mEp6GrWQBd1epMpQTARSwcBmgDHebF2a41JdDaNNu2XT8/+G1Cwe3h/aPSs6Rdn84L9wfGOUPqYfvu171Urn/jxXFuEfahAselAgSz9b/tLphdsmSJ3HrrrQayxmmdnZ0yMjJiurq/4++/+7u/M5m3Lpi97LLL5Fe/+pXpf84558iPf/zjzGXe/va3q3VlUj796U9n3osav7e312T0om3atEk2bNgQZ7rsU6MKEMyWeWP+/lu/ELzc5kPaGTxa5QWGzRrEwpS/tVkzDJyMUDvOiGZy+o8hLepulaXducEYznHtDCyUxfv5wGw+GwOcmy9jNpkIPFltHxuo5suWRYZtu67Xju2CWbtuBKKo9LtGC0vYsZFF4TYDZvX6+uxWKJg9Z0W7fOy1azJQFudaMIvfkSExrpYG+BkGZgNf3SBohtWBm1GL8z/ysS/lhd2ZuZps2WgoHnkrFoDp+W5h+8GnzLc5h6MCVIAKUAEqQAUWoID94ngBQ0SfCpsCL8OymOu8/V1vCu2OmK5HY1TYEwDYWo9XC2ktmF2lsalbiwBgtnlWszenx+WS//fLZmwfzH74+jcoFJ2PkQBodw1NSYeXDWon5mbN4j0LZ10wCyCLbFkT96X9/pERCw/aqBYna9aMp+P42bLumC68zQdmLXg28Xl6gDBA69oZIFMWGbNoUWD2uSePGCCbUP06NIb24ey0ajCsUBbt+v96EcFsMf9A2Pe4U4Bgtv633AWzAKOAnqOjo/Le975XbrnllrwCtLe3y9jYmOnj/o6/fTCLbFxA1127dpn+y5Ytkz//8z+Xnp4ekyU7NDRk3kem7s033ywAtVHjv//975c3vOEN8pnPfEbuvvtuOXw4+MKO7dhUgGC2zPsWBmbtJSygncOj8vhmXB8vgi9UU/qb9CmFfv2HxmTpss4cOOuDWYDcJn383z7y36uP+7t2ATZr1n0szM7Dr1Jr38+XLYs+UWDWZLem/a3cglmAmb36KFtYQ0CPbFm3ofIvmgXJ9udyzcxY1Jr0n7bLnHpG73wmwO+86+/N+27ADzD78avPNZmyGQ3SGbPu9YenZmWvepYBvGYAs5OdMKEBPuY0qPtk285dB+Qr//qD4M+0VUTkLVUimPWzq4u5ZQlmi1GLfakAFaACVIAKVEeBioJZLGEBcDYMzALK4gv0Vo3fEOsBHrqZnRbSLtMMToBZt1kwi/du+OQ3ZcuOQzlPNt1zx3vMF+AAp2CpgJTP9k/IqAJEwGC83OaDWRzDHA6rpypiNQtk7TkzTnYvroHM2TDbgrhgNs5dYuFtUwQkt9mymdg05Lt7F9Iidoav7MEjAVBFQ1Hg7kWtWdPZr+B2QosHWzCLgy6cHddiYeOa8GEbwWyc3WSf41kBgtn6330XzIJhIMN13bp1csopp8jkZHj9HqtKMRmzV1xxhcmQBZA1/1et1wJgtdm5xWTMursCmDw9ne3NXv+7Vl8rJJgt837mA7PWQmB0YEx6+jr0W+6WnKvv353+lqSnVbr1ZZsLZgFlW9KZpu4jVwCzwavJ/NyjRcBc2wLzzb7+J6wAQL5v/e3/aETZmCFb1oJMF8wCGiPW1oqSAAAgAElEQVSQx//gICZ1wa61MLDet7hGIsQHC+cvVZ0wbpsZS4G2V6AMYDY11yDDM43yB3/8KSOZ6122cWlS/vb3T5bEkuXS0NKmF9JSYR6YtfM4pIEsMnL9yr3wlLXFwABobdZsFpi1mxUFaEsBswvIlrU6lPkW53BUgApQASpABajAAhWoOJgNgjfls9n+o3Gm/cILzpLz9GWbhbKIvwBmbfPhLN5fpdmZrRoXIqs2PQXpmJ2UZGpcGmam5frP/EjB7IGcWgD//nfvNjFeUNg1uMJ2fRTfnQPgLArA2ubaGeA9gFbYgY2oZYHbbLasv/ZJ9ZxFfJfzfgG7gzgaoo+NwaPArFtPIegf/VwVtEZix559weOytvlgduDwuAymwW2jxtXNaaANSAs460NZjEMwG3dH2e94VYBgtv533gWzyF6955575PTTTxf4u7pg9lWvepUR47vf/W5GlNWrV8udd95p/n7rW98qO3fuzBzzM2aRfXvHHXfI7t27lY80yo9+9CPp6+uTjRs3mnPe9a53SXNzsykaZlvU+AMDAyazF2O8+tWvlvHx+S/t6n/H6m+FBLNl3lMfzNqgzLXhGhsck7GhcVlx4pIcOGvBLKbVotVtAWdhbYCKqni5UBZ9oirIAszC8xWPcbmeVHjEayb9WJe79EI2BuZ4iFZutiwOA77afrAq8Bv6d+h6OnVtfmKAX9wB5wLK4gMBmoWz+N0CWvx+Yk+TjCmURXvjn+SC2XNOaJa/uaRXmnoWS2JRnw6UlLneE2Si8wQzB3ceoxqkI1tiCp6ymqVhAe2Y2k+4zcLZn/9ym/zil4+E30U+oJ2LfnQu6jZcSLasuT/SXrtlvs05HBWgAlSAClABKrAABaoCZtPzM3C2QAFXdykumLVQ1sZhLpg17zmZs/CV7db4Dg1wFnFbsx5va0hJk1oZyOyM3PCp78rDT+3NAbPf/NR7TPxloSxiMGTM+s3NnnWzZoOiXkFvgFkXzrrZsjhuY3NkzfpfxJvYSQGoHWsBW5w5NTx+1ozjkISEqOtOwgZN5zWlyQMTWtTLbX3LOsyf8JXdv2s4c8gFs2bdMylNzoBXbfbtQDBbjl3mGPWswHV3BX6gbPWrwJ1XnZdZ3Je+9CUDSFOplLzzne+Uj370o5lj8J8FF3GLbn3729+Wa665xvT5whe+YCAp2nXXXWcsBiYmJuTss8+WBx980Lz/4he/WLZt2yZdXV3S0dEh//Zv/ybnnnuuOQZLBADb1tb5BL2w8Y8cOSKnnXaaOQdAFsXK4nri1u8uHtsrI5gt8/4BzH76np+bUaNqbE1PTsvggSAz1oez/YdGTdDlNlgbaEKoeTTLZsra42GPXOEbeL9YQzCfwEc1zMqgkI1BFJh1s2VxDQSfgLP+HGxQjGu3a9DeoS+AWASlbiatmz3gQlm7XhPkwwLCfsDQMZZ3JkVzaU2XN13/Kbn4RRvlvi/elqn2CzD70Vcsk4ZksyRWn6zmL10yl9DCFa2LJNWY/WicBbOu/iO6HwMa5NvH9OwxWBrAxgBZs3mbBbTFgtkFZstaHcp8i3M4KkAFqAAVoAJUYIEKXHb1jfKTB7YucJQiTi/C2mDFyqVyxesvNV+Mu/7/1sbAv6qFs8iWdVuPgtpWxGwKZfFqSE3IDXd8T7Y8PZ8xa3X4umbMOhaz5svxMDBrx1/W2SyHx6Zkj1pQIT7zY24LZ8Fq5wvgZveDL61bhwFjIx5GJq3/fhFKx+pq6xf4SQl+1iyA7FQ6OQA6w/4spX+PK5xN6TzRLJiFr6zfWtVaAi01NS0TI6PS0tE13yUNaG94Iz1mY20aOx23ChDM1v/Wu2C2/lfLFdaiAgSzZd6V2+78jtxxz2Zp04AxGVGwwAWzuLwLZ8PALPpgvE71Wk04j3DhfQSO9tt+C0QRuIU1+7iWD2YLZctirDAw62fLmn4IahWa2mxZF8jaOVkwa/92Aa0NUK2FQdT24MMBoDDaMvXXBafFdd+kGbM5YHZ5q7EyaGzvNFC2oaNb5pJtMtfcIdMNiSw464NZJDPgibbhNCyHnQGsIPBzRD803PKRu4IpOp8IsjKB0+/PaaayGCuDtEjmR3qfIjwiFpotSzBb5n/cHI4KUAEqQAWoQJkUqDqYNfFH/KJg7/7jN2dBWZzeobUNotpSBYDWB9bGoZ0oPgWYqF9MN0/pI/gaE93waQWzT+3LZMxaHe762z/K1E3ANQ6oD+rB0Wi/PMRaGPupw6NZX/C7MfARHWNCIaaxMgjxb3XBrGvpVU0wa/V0rbps1qwLZdHPgll7DuAssme7e1vlyIFR4yvrNwtmR/sHTYJGFphNd373a8+XP7/u8jLd2RyGCtSfAgSz9ben/ooIZut/j2t9hQSzZd6hD//j1+VjX/6RtHTpY/NpMOtDWh/MYgoWzo4MTcqofvtvW4sWyMJrVsGeBXX4thyA1v6Ez2xUlqwdx61S64PZQtmyJpYPsTLws2XttSyUjSoy5oNZe54FtICyq3vUC1ab6+1qgSgC8aWm2FmTsSEAmEV79Ond8tefujsHzF53wVJ560UnBZcBmO3sDcCsvtAmG5tlVj+soLlgFlAWsBe2BtAYP22D3o89vUc++tn/KHgHZUHZgr0hdrpTyIeIOKfbPgSzxajFvlSAClABKkAFqqfAUQGzWF5MOHvzB641YuDL/ymNQfH9cpfGtc2OxyxiIfyNp5g6WxqzAGkibWOAJ6NwSrPJmJ2SO7/7kNz5nV/ngNm/eNfr5YyTV5l4FvGgLfxld8TWArAWVIhrkSmLYrf2y3N39xC/IW7sd4pc+bs7pl+wG0lM5uj8t+RHA8zauWEasBybmMqFrD6YxTnInh0ZnJRhfYU1gNnJ0THzakwkcsDs2JEDcsObLpYPvPO/Vu/m55WowDGmAMHsMbZhJUyXYLYE0XhKWRUgmC2rnCKXv/ND8rNfPSotnYsMnLUNkNYC2jAwi36LlnVJsrXFgFkLZO35Lph1p4xAEh60bWlPr7DlBL5b85TPBaaFin7NB4rZHrP41j3pZe/avp06n3zZnlFg1gSYGmgvQ2ZwiO+WHb9DgSzg7BIFsvgJTzO07U/tlg9/+hs5YPba8/rkuheh8FerNHQtkoaeJTLXqD6zaTCLc8ebAh8XC2ZxeYwNGGszF+AriwYrBbRHFcz+73/4Vt47qGgoW8b7kWC2jGJyKCpABagAFaACZVTgqIFZrCEGnL3s4nPl5fpyYy8A0zAPVBRnDayp5msNoPgX4KyBsnoMMRU8Zjd98xehYPZ9//P3DJhFA4DcNThh7Az8WgA4bqEsfo8Cs3beh51kB3f7EBtPKbh1gaw9HgZmEfkt8PvynLvHtfIK1jVnCphFxfxhYHZcfWVHNakDYf4sYlb442KMdDKB1ruVsYHBzLXbehZlfp8eH5XBPc/Ky84/U+79pw+W8e7mUFSgvhQgmK2v/QxbDcFs/e9xra+QYLbMO2TBLIbtXqF+piEtqSBxZjr78azZNPRr62qTlvZmA2bdFhakNWjg2qgRL8z9EVgig9S3MbC+stljzYeWcbJlca6bMWuKJhhwOV8Z1x2/Q9dnqsciiA2J4MPArClKlu7b19GsHrSaDRsSAbfoem1F3h6F0Qj223TdKHT2qILZD316PmP2r2//otx8e2A1cM6KdvPzrZecIg2Llso5p6zMArPImEXmLMAs1ocPEJiOzZIFg8Z8YGFg279//1eCV2TDo3P6IeRoNYLZo6U8r0sFqAAVoAJUIL8CRxXMIq4rUBDMBbOIifClOBq+6HdDO8RhyJq1LlrGb1ZjUvMUlP7El+aP7tDq0xo4PvzELvNCu+k9V8kH33O1WB0AZk9XMAsACmDar4/lw8vfbS6Qdd/fE5Etij5RYBZrwNNQYTXRfDBr/WDL7TtrwaxbLwIxqBs720JlWIsLZgFkrXVBCjqFLARwdmxgSCHt/GcOF8weenq7kZFglv9rRQXyK0AwW/93CMFs/e9xra+QYLbMO+SCWT9rFpdCBuWceo22ds5X2nOnkNDAFxmw+AnoapsPZnHMfMuP7ASNfgFpbdCGwl8W0LoWBvNjBXAxjresPceCWRuU4tJhYBZBJgpFuEW8fEDrglkXyOJasDHoVODapRr4nmDuBwP0bdfrdDajiFhQEGzHs3vllggwG7bN55y6wrx93eVBFcazTlsrQzPzHy4AZY2PruPZi/csnP3wZ+6Rx3bsDb+DjjKUxaQIZsv8j5vDUQEqQAWoABUokwLul8dlGrLoYfLB2ZPWLZf/cd2rzJj4Itxt+KIaNQRgYdCmsRgaQiVYSsHmyQJZQNmo5oPZ9yuYPeXElVmFVp/XrFnboqAsjufLmh1SD1ZbYwF9rZcrYrlRrR9gaxS4XNOCWQtkcZ61Uiha5IgTbJEvm5Rgu/lg1n3fglkXygLizqSLg/lwdmY6JeNDI5nPHhjLgllkyiJjFo1gtly7ynHqVQGC2Xrd2fl1EczW/x7X+goJZsu8Qy6YxdAunLVQFu8nFCji5TbAzyYFk8l0VgIyYZtbg8xZC2ZNlqyTqYq/DZ/1Cn5ZOBv27T4ecYprYWDn5z/CBRgaVmTMgllbxMtdnwW0ALOAt34wir496UzhRWnfWAtnfShrxz1Bs2vtY2hPK5j9yD/MWxmU8qHnrFOCx+j+2+UvMhkhG08L/nabhbPX/vk/Rt49JlM2LOW3zPdbvuHsh54qXpKXogJUgApQASpABWIoUEqMEmPY4rqgfgAyZyPabR98q8mUNTYEXntcAeyTz+wxseBjaSBbzMV9MPun73idnHriiixrgUH1j+2fmDawNl+2aj4wO6bZpONpL1kkMgAmo8GeCsA25dQPsJB2So8BkLo2BwaYFrPAAn0RizuXzvRGvB91IdgUjHkF0QBlMxm2XtasBbMY3H4GAZiFr+xY/8HMNQlmy7ixHKouFSCYrcttzVoUwWz973Gtr5Bgtsw75INZDN/et1KBa4vJlLUNGa/Nbc1ZVweURRBoAkcnW9ZkzyaCQNKFsjZb1hzwChfgLTzeH9b8YLMUCRCkh/lywWMMUBjNzZp1rwHLhTAPWWTL4hiaBbP4HcFre/qDgQ2K7aNdy+FHm7ZNeGLHHvnYP34zkylarg89LqzFfDacukoeemK33PL394TrWwNQFhMjmC3lzuY5VIAKUAEqQAUqr0C5YpQFzzQPnP3YX/13A2YRXz2uLzT8jtdCm41RrA5/8rYrFMyuNMOaL+X152RqTnYNz2fN4lhUCYJ9Q1OhUwKYnVB4CSBr41aMb75k98CsHcB/YsvOaaFrds83PrC6SB/2Ar5GNRT6svYFtk8+MItsWcBZ2wBnwW6HDwR2ErYRzJZzZzlWPSpAMFuPu5q9JoLZ+t/jWl8hwWyZdygMzM7NzEjb4hWSaGnLuppvZxAFZnESfGmbEtlZDTZb1gzqgVnzuFNIhgO6GovY3OSHopSIA2bDsmaRUduq2bJh3rYdmklrszK68Hs6+kbg3KHF0/wiCZjwCgWzCLZxHjI2Pqpg1g/2i1pYzM4bTl0t23fsy+l9NIt9+ZMhmI25mexGBagAFaACVKDKCtQMmDUxpCYGhNQNOHX9CfKExlaVaH6s9sd/eIWsV/sE178WdgN7tXgXbBPyZasCpA6rJy08Y81ynBh3SmsHuFmxOA4PW3sdm03rr9F/qquc/rLGxiD9VJWbNRtlY2Bid50wwGxK1zjjnGT8Zd2WXrybLWsPz0xNyOTooMxMTWadQjBbiTucY9aTAgSz9bSb4WshmK3/Pa71FRLMlnmHfDBrHh3CY0n6aulerK++zBVdOwNrY2APWjsDG2A2ajYpsmzdTNosMGvi6vlINDpbNggG4xb9ipLHZsX6x5H16o7tZ83iOICxb6VgrAocDzPAWxT1QhvTQBRFv8zY6Yq/9roAs2h4f8ez+4yVQTXALBbgP/5XS1AWmhDMlvkfN4ejAlSAClABKlAmBWoKzKaDzaB2gY0ltYhrBZ8A8mO19779dXLy+hUyngqKpgKcwsJg/2iQCWtqJkRoP62wEv0HtSCW31IKYQFZEYrb5oLZOFmz5faXRbasbW7WbD4bA0BZA2cdMJvlL2sHjACzk8MDMjUygEfvcjQimC3TP2oOU7cKEMzW7dZmFkYwW/97XOsrJJgt8w65YDYDZU2EGUSELpx17QxstqydjmtnABuDoFCXZoamYWWWjUH6JAtmEZNFgVMbDBbrMevLFBfMulmzNlvWXaP93c2WxXsWzCJLwmZAWDiL4/jYgPFWdqlFhP4O2PyUesx+8p/uqTqYrTUgazUlmC3zP24ORwWoABWgAlSgTArUHJi163KewMp4l5Zpze4wPpi9/m2vldNOWmniO/i/TihQRVIpPGZhO4AWBmeRyTqtlgdosCywMSP+DuwCNNsWkDc9hrUxcOdSKGu2UtmyZo6OnUGUjYHNlrVzntYsYLM2AGnf+iANZl0bgwyUxQAEsxW4mzlkvStw5Z2b632Jx/36vnzdBce9BhTg6CpAMFtm/S2YzYKyQXSYuVKTWhp0LF1t/oadgZ8tG8RNgc+sKUTgeMXarFk/W9YMlg6mYQEQ9ti/++iU6R7iSxtHDpyXCAnscG6bWg74zWbN2mxZe9xe38+WNbqkM2YRnNuAGJm28DqzLal/w/KgTfVBSI4iFLd/9ltVA7NGcMc3OI521exDMFtNtXktKkAFqAAVoALxFahZMJsJ0vSXcla78qQJ85g9TT1mERMDriL+w+VHtHDXqAJX2/CFvQtKbbasPW6zZvGFvWtHYLNmkYWLl9sKZc1WEsxiHmDG+WwMbLasnbPNms3yl3UWNKNZxwCzaGOH96l1gePTSzAb/x8pe1KBtAJ/8Ln7qUWdK/C1P7ywzlfI5dW6AgSzZd4hgNmfbt4e2Be4LaCiWW+1K5xt7eqS5taksSnwG+wMbLaseyzZnDC2BTk+sYC4+n6hbFl3rFIsDYoFs8iaxZwAW/2G6/vZsugDWNuuvrpu5gPet1mzgLKZImP6e7cC2ie1GMUnPluljFmdCz48GNezCn5wWcjtSTC7EPV4LhWgAlSAClCByilQ02AWX9zrf6wPaiVUCLMyQMbshEJFQFk0hM3DHpjF+xbOutmydo42a3YG1gdefIbMWtfGwJ4TBWZxHBC3nDq4Ngb2+uDEmG9UPDnt+8jqiZOT6jcb8r7RRzUc2L0rsC7IDbxz3qKVQSXucI5ZTwoQzNbTboavhWC2/ve41ldIMFvmHXrVO242YDanhYBZ9GlbtER6V63KVIp1z0tq9iksDvyG9zKWBt7BJAprhVT28rNl7WmlZM1i/LDCYni/JQS+4lqdKF4WUowMcLWzNRG6C8i+DctS6GtL5sBngNpdO/fLHf+nShmzOmPX09cswCnmUObbqqThCGZLko0nUQEqQAWoABWouAI1BWbTtrLGY9Zp1bQyeNd/f42sXbs8R3dkzALO+s1YXWkmrZf8arqN6/tjIdASWbNjU17iRHrgKDsDxKF+IbBSb46oWBz8GF64YWB2JsyuQPtP6xqntOBZWBvYs1vG+w/lHsryEJ4/TDBb6o7yvONFAYLZ+t9pgtn63+NaXyHBbK3vEOdHBagAFaACVIAKUAEqQAWoABWgAlSAClRdAYLZqkte9QsSzFZdcl7QU4BglrcEFaACVIAKUAEqQAWoABWgAlSAClABKkAFPAUIZuv/liCYrf89rvUVEszW+g5xflSAClABKkAFqAAVoAJUgApQASpABahA1RUgmK265FW/IMFs1SXnBT0FCGZ5S1ABKkAFqAAVoAJUgApQASpABagAFaACVMBTgGC2/m8Jgtn63+NaXyHBbK3vEOdHBagAFaACVIAKUAEqQAWoABWgAlSAClRdAYLZqkte9QsSzFZdcl7QU4BglrcEFaACVIAKUAEqQAWoABWgAlSAClABKkAFPAUIZuv/liCYrf89rvUVEszW+g5xflSAClABKkAFqAAVoAJUgApQASpABahA1RUgmK265FW/IMFs1SXnBT0FCGZ5S1ABKkAFqAAVoAJUgApQASpABagAFaACVMBTgGC2/m8Jgtn63+NaXyHBbK3vEOdHBagAFaACVIAKUAEqQAWoABWgAlSAClRdgVf//S+qfk1esLoKfPt/vqS6F+TVqICnAMEsbwkqQAWoABWgAlSAClABKkAFqAAVoAJUgAp4Crzyjp9TkzpX4N4/emmdr5DLq3UFCGZrfYc4PypABagAFaACVIAKUAEqQAWoABWgAlSg6goQzFZd8qpfkGC26pLzgp4CBLO8JagAFaACVIAKUAEqQAWoABWgAlSAClABKuApQDBb/7cEwWz973Gtr5BgttZ3iPOjAlSAClABKkAFqAAVoAJUgApQASpABaquAMFs1SWv+gUJZqsuOS/oKUAwy1uCClABKkAFqAAVoAJUgApQASpABagAFaACngIEs/V/SxDM1v8e1/oKCWZrfYc4PypABagAFaACVIAKUAEqQAWoABWgAlSg6goQzFZd8qpfkGC26pLzgp4CBLO8JagAFaACVIAKUAEqQAWoABWgAlSAClABKuApQDBb/7cEwWz973Gtr5BgttZ3iPOjAlSAClABKkAFqAAVoAJUgApQASpABaquAMFs1SWv+gUJZqsuOS/oKUAwy1uCClABKkAFqAAVoAJUgApQASpABagAFaACngIEs/V/SxDM1v8e1/oKCWZrfYc4PypABagAFaACVIAKUAEqQAWoABWgAlSg6goQzFZd8qpfkGC26pLzgp4CBLO8JagAFaACVIAKUAEqQAWoABWgAlSAClABKuAp8PLb/y81qXMFvv+e367zFXJ5ta4AwWyt7xDnRwWoABWgAlSAClABKkAFqAAVoAJUgApUXYFL/vYnVb8mL1hdBX783oure0FejQp4ChDM8pagAlSAClABKkAFqAAVoAJUgApQASpABaiApwDBbP3fEgSz9b/Htb5Cgtla3yHOjwpQASpABagAFaACVIAKUAEqQAWoABWougIEs1WXvOoXJJituuS8oKcAwSxvCSpABagAFaACVIAKUAEqQAWoABWgAlSACngKEMzW/y1BMFv/e1zrKySYrfUd4vyoABWgAlSAClABKkAFqAAVoAJUgApQgaorQDBbdcmrfkGC2apLzgt6ChDM8pagAlSAClABKkAFqAAVoAJUgApQASpABaiApwDBbP3fEgSz9b/Htb5Cgtla3yHOjwpQASpABagAFaACVIAKUAEqQAWoABWougIEs1WXvOoXJJituuS8oKcAwSxvCSpABagAFaACVIAKUAEqQAWoABWgAlSACngKEMzW/y1BMFv/e1zrKySYrfUd4vyoABWgAlSAClABKkAFqAAVoAJUgApQgaorQDBbdcmrfkGC2apLzgt6ChDM8pagAlSAClABKkAFqAAVoAJUgApQASpABaiApwDBbP3fEgSz9b/Htb5Cgtla3yHOjwpQASpABagAFaACVIAKUAEqQAWoABWougIEs1WXvOoXJJituuS8oKcAwSxvCSpABagAFaACVIAKUAEq8P+3a/+gftZXHMd/WUoJoQ4GW2iCLiI4WcHBOrWWEO4gKh0CEkjbgEOrBRcJOjgowUWofwbBKCEIGUoVh0sItZ2sg6BOgnRpEwTb0KElhNKpcIdwOXDDc+HJh8PhtQW5/M7zfZ0zvZEAAQIECBAoAo+8+icmwwU+ef6nw1/oed0FhNnuG/J9BAgQIECAAAECBAgQIECAQFzgx2c/js80MCvwlzOPZgeaRqAICLNOggABAgQIECBAgAABAgQIECBQBITZ+SchzM7fcfcXCrPdN+T7CBAgQIAAAQIECBAgQIAAgbiAMBsnjw8UZuPkBhYBYdZJECBAgAABAgQIECBAgAABAgSKgDA7/ySE2fk77v5CYbb7hnwfAQIECBAgQIAAAQIECBAgEBcQZuPk8YHCbJzcwCIgzDoJAgQIECBAgAABAgQIECBAgEAREGbnn4QwO3/H3V8ozHbfkO8jQIAAAQIECBAgQIAAAQIE4gLCbJw8PlCYjZMbWASEWSdBgAABAgQIECBAgAABAgQIECgCwuz8kxBm5++4+wuF2e4b8n0ECBAgQIAAAQIECBAgQIBAXECYjZPHBwqzcXIDi4Aw6yQIECBAgAABAgQIECBAgAABAkVAmJ1/EsLs/B13f6Ew231Dvo8AAQIECBAgQIAAAQIECBCICzz8yh/jMw3MCnz6ws+yA00jUASEWSdBgAABAgQIECBAgAABAgQIECgCD710mclwgc9eOjb8hZ7XXUCY7b4h30eAAAECBAgQIECAAAECBAjEBYTZOHl8oDAbJzewCAizToIAAQIECBAgQIAAAQIECBAgUASE2fknIczO33H3Fwqz3Tfk+wgQIECAAAECBAgQIECAAIG4gDAbJ48PFGbj5AYWAWHWSRAgQIAAAQIECBAgQIAAAQIEioAwO/8khNn5O+7+QmG2+4Z8HwECBAgQIECAAAECBAgQIBAXEGbj5PGBwmyc3MAiIMw6CQIECBAgQIAAAQIECBAgQIBAERBm55+EMDt/x91fKMx235DvI0CAAAECBAgQIECAAAECBOICwmycPD5QmI2TG1gEhFknQYAAAQIECBAgQIAAAQIECBAoAsLs/JMQZufvuPsLhdnuG/J9BAgQIECAAAECBAgQIECAQFxAmI2TxwcKs3FyA4uAMOskCBAgQIAAAQIECBAgQIAAAQJFQJidfxLC7Pwdd3+hMNt9Q76PAAECBAgQIECAAAECBAgQiAs8+OKl+EwDswKfv3w8O9A0AkVAmHUSBAgQIECAAAECBAgQIECAAIEi8MCZbSbDBb48uzX8hZ7XXUCY7b4h30eAAAECBAgQIECAAAECBAjEBYTZOHl8oDAbJzewCAizToIAAQIECBAgQIAAAe7FqmUAABLaSURBVAIECBAgUASE2fknIczO33H3Fwqz3Tfk+wgQIECAAAECBAgQIECAAIG4gDAbJ48PFGbj5AYWAWHWSRAgQIAAAQIECBAgQIAAAQIEioAwO/8khNn5O+7+QmG2+4Z8HwECBAgQIECAAAECBAgQIBAXEGbj5PGBwmyc3MAiIMw6CQIECBAgQIAAAQIECBAgQIBAERBm55+EMDt/x91fKMx235DvI0CAAAECBAgQIECAAAECBOICwmycPD5QmI2TG1gEhFknQYAAAQIECBAgQIAAAQIECBAoAsLs/JMQZufvuPsLhdnuG/J9BAgQIECAAAECBAgQIECAQFxAmI2TxwcKs3FyA4uAMOskCBAgQIAAAQIECBAgQIAAAQJFQJidfxLC7Pwdd3+hMNt9Q76PAAECBAgQIECAAAECBAgQiAvc/9xH8ZkGZgW+eu2x7EDTCBQBYdZJECBAgAABAgQIECBAgAABAgSKgDA7/ySE2fk77v5CYbb7hnwfAQIECBAgQIAAAQIECBAgEBcQZuPk8YHCbJzcwCIgzDoJAgQIECBAgAABAgQIECBAgEAREGbnn4QwO3/H3V8ozHbfkO8jQIAAAQIECBAgQIAAAQIE4gLCbJw8PlCYjZMbWASEWSdBgAABAgQIECBAgAABAgQIECgCwuz8kxBm5++4+wuF2e4b8n0ECBAgQIAAAQIECBAgQIBAXECYjZPHBwqzcXIDi4Aw6yQIECBAgAABAgQIECBAgAABAkVAmJ1/EsLs/B13f6Ew231Dvo8AAQIECBAgQIAAAQIECBCICwizcfL4QGE2Tm5gERBmnQQBAgQIECBAgAABAgQIECBAoAgIs/NPQpidv+PuLxRmu2/I9xEgQIAAAQIECBAgQIAAAQJxAWE2Th4fKMzGyQ0sAsKskyBAgAABAgQIECBAgAABAgQIFIH7nv2QyXCBr19/fPgLPa+7gDDbfUO+jwABAgQIECBAgAABAgQIEIgL3PvrD+IzDcwK/PWtJ7IDTSNQBIRZJ0GAAAECBAgQIECAAAECBAgQKALC7PyTEGbn77j7C4XZ7hvyfQQIECBAgAABAgQIECBAgEBcQJiNk8cHCrNxcgOLgDDrJAgQIECAAAECBAgQIECAAAECRUCYnX8Swuz8HXd/oTDbfUO+jwABAgQIECBAgAABAgQIEIgLCLNx8vhAYTZObmAREGadBAECBAgQIECAAAECBAgQIECgCAiz809CmJ2/4+4vFGa7b8j3ESBAgAABAgQIECBAgAABAnEBYTZOHh8ozMbJDSwCwqyTIECAAAECBAgQIECAAAECBAgUAWF2/kkIs/N33P2Fwmz3Dfk+AgQIECBAgAABAgQIECBAIC4gzMbJ4wOF2Ti5gUVAmHUSBAgQIECAAAECBAgQIECAAIEiIMzOPwlhdv6Ou79QmO2+Id9HgAABAgQIECBAgAABAgQIxAWE2Th5fKAwGyc3sAgIs06CAAECBAgQIECAAAECBAgQIFAE7vnVRSbDBf527sTwF3pedwFhtvuGfB8BAgQIECBAgAABAgQIECAQFxBm4+TxgcJsnNzAIiDMOgkCBAgQIECAAAECBAgQIECAQBEQZuefhDA7f8fdXyjMdt+Q7yNAgAABAgQIECBAgAABAgTiAsJsnDw+UJiNkxtYBIRZJ0GAAAECBAgQIECAAAECBAgQKALC7PyTEGbn77j7C4XZ7hvyfQQIECBAgAABAgQIECBAgEBcQJiNk8cHCrNxcgOLgDDrJAgQIECAAAECBAgQIECAAAECRUCYnX8Swuz8HXd/oTDbfUO+jwABAgQIECBAgAABAgQIEIgLCLNx8vhAYTZObmAREGadBAECBAgQIECAAAECBAgQIECgCAiz809CmJ2/4+4vFGa7b8j3ESBAgAABAgQIECBAgAABAnEBYTZOHh8ozMbJDSwCwqyTIECAAAECBAgQIECAAAECBAgUAWF2/kkIs/N33P2Fwmz3Dfk+AgQIECBAgAABAgQIECBAIC5w9y/ej880MCvw9/eeyg40jUAREGadBAECBAgQIECAAAECBAgQIECgCPzwqXeYDBf45v3Tw1/oed0FhNnuG/J9BAgQIECAAAECBAgQIECAQFxAmI2TxwcKs3FyA4uAMOskCBAgQIAAAQIECBAgQIAAAQJFQJidfxLC7Pwdd3+hMNt9Q76PAAECBAgQIECAAAECBAgQiAsIs3Hy+EBhNk5uYBEQZp0EAQIECBAgQIAAAQIECBAgQKAICLPzT0KYnb/j7i8UZrtvyPcRIECAAAECBAgQIECAAAECcQFhNk4eHyjMxskNLALCrJMgQIAAAQIECBAgQIAAAQIECBQBYXb+SQiz83fc/YXCbPcN+T4CBAgQIECAAAECBAgQIEAgLiDMxsnjA4XZOLmBRUCYdRIECBAgQIAAAQIECBAgQIAAgSIgzM4/CWF2/o67v1CY7b4h30eAAAECBAgQIECAAAECBAjEBYTZOHl8oDAbJzewCAizToIAAQIECBAgQIAAAQIECBAgUASE2fknIczO33H3Fwqz3Tfk+wgQIECAAAECBAgQIECAAIG4wA9+/mZ8poFZgW9//5vsQNMIFAFh1kkQIECAAAECBAgQIECAAAECBIrA95/8HZPhAv/4w2+Hv9DzugsIs9035PsIECBAgAABAgQIECBAgACBuIAwGyePDxRm4+QGFgFh1kkQIECAAAECBAgQIECAAAECBIqAMDv/JITZ+Tvu/kJhtvuGfB8BAgQIECBAgAABAgQIECAQFxBm4+TxgcJsnNzAIiDMOgkCBAgQIECAAAECBAgQIECAQBEQZuefhDA7f8fdXyjMdt+Q7yNAgAABAgQIECBAgAABAgTiAsJsnDw+UJiNkxtYBIRZJ0GAAAECBAgQIECAAAECBAgQKALC7PyTEGbn77j7C4XZ7hvyfQQIECBAgAABAgQIECBAgEBcQJiNk8cHCrNxcgOLgDDrJAgQIECAAAECBAgQIECAAAECRUCYnX8Swuz8HXd/oTDbfUO+jwABAgQIECBAgAABAgQIEIgLCLNx8vhAYTZObmAREGadBAECBAgQIECAAAECBAgQIECgCNz1+GtMhgv888Pnhr/Q87oLCLPdN+T7CBAgQIAAAQIECBAgQIAAgbjAnVuvxGcamBX41/YL2YGmESgCwqyTIECAAAECBAgQIECAAAECBAgUAWF2/kkIs/N33P2Fwmz3Dfk+AgQIECBAgAABAgQIECBAIC4gzMbJ4wOF2Ti5gUVAmHUSBAgQIECAAAECBAgQIECAAIEiIMzOPwlhdv6Ou79QmO2+Id9HgAABAgQIECBAgAABAgQIxAWE2Th5fKAwGyc3sAgIs06CAAECBAgQIECAAAECBAgQIFAEhNn5JyHMzt9x9xcKs9035PsIECBAgAABAgQIECBAgACBuIAwGyePDxRm4+QGFgFh1kkQIECAAAECBAgQIECAAAECBIqAMDv/JITZ+Tvu/kJhtvuGfB8BAgQIECBAgAABAgQIECAQFxBm4+TxgcJsnNzAIiDMOgkCBAgQIECAAAECBAgQIECAQBEQZuefhDA7f8fdXyjMdt+Q7yNAgAABAgQIECBAgAABAgTiAsJsnDw+UJiNkxtYBIRZJ0GAAAECBAgQIECAAAECBAgQKAJ3PPoik+EC//745eEv9LzuAsJs9w35PgIECBAgQIAAAQIECBAgQCAu8L2fnInPNDAr8J8/n80ONI1AERBmnQQBAgQIECBAgAABAgQIECBAoAgIs/NPQpidv+PuLxRmu2/I9xEgQIAAAQIECBAgQIAAAQJxAWE2Th4fKMzGyQ0sAsKskyBAgAABAgQIECBAgAABAgQIFAFhdv5JCLPzd9z9hcJs9w35PgIECBAgQIAAAQIECBAgQCAuIMzGyeMDhdk4uYFFQJh1EgQIECBAgAABAgQIECBAgACBIiDMzj8JYXb+jru/UJjtviHfR4AAAQIECBAgQIAAAQIECMQFhNk4eXygMBsnN7AICLNOggABAgQIECBAgAABAgQIECBQBITZ+SchzM7fcfcXCrPdN+T7CBAgQIAAAQIECBAgQIAAgbiAMBsnjw8UZuPkBhYBYdZJECBAgAABAgQIECBAgAABAgSKgDA7/ySE2fk77v5CYbb7hnwfAQIECBAgQIAAAQIECBAgEBcQZuPk8YHCbJzcwCIgzDoJAgQIECBAgAABAgQIECBAgEAROPjwM0yGC9z49I3hL/S87gLCbPcN+T4CBAgQIECAAAECBAgQIEAgLiDMxsnjA4XZOLmBRUCYdRIECBAgQIAAAQIECBAgQIAAgSIgzM4/CWF2/o67v1CY7b4h30eAAAECBAgQIECAAAECBAjEBYTZOHl8oDAbJzewCAizToIAAQIECBAgQIAAAQIECBAgUASE2fknIczO33H3Fwqz3Tfk+wgQIECAAAECBAgQIECAAIG4gDAbJ48PFGbj5AYWAWHWSRAgQIAAAQIECBAgQIAAAQIEioAwO/8khNn5O+7+QmG2+4Z8HwECBAgQIECAAAECBAgQIBAXEGbj5PGBwmyc3MAiIMw6CQIECBAgQIAAAQIECBAgQIBAERBm55+EMDt/x91fKMx235DvI0CAAAECBAgQIECAAAECBOICwmycPD5QmI2TG1gEhFknQYAAAQIECBAgQIAAAQIECBAoAsLs/JMQZufvuPsLhdnuG/J9BAgQIECAAAECBAgQIECAQFzguw89HZ9pYFbgv5+9nR1oGoEiIMw6CQIECBAgQIAAAQIECBAgQIBAEfjOj37JZLjA/754d/gLPa+7gDDbfUO+jwABAgQIECBAgAABAgQIEIgLCLNx8vhAYTZObmAREGadBAECBAgQIECAAAECBAgQIECgCAiz809CmJ2/4+4vFGa7b8j3ESBAgAABAgQIECBAgAABAnEBYTZOHh8ozMbJDSwCwqyTIECAAAECBAgQIECAAAECBAgUAWF2/kkIs/N33P2Fwmz3Dfk+AgQIECBAgAABAgQIECBAIC4gzMbJ4wN3h9nLly9vTpw4sfMNFy9e3Bw7duyW37PX3+/3d+KPNrCVgDDbah0+hgABAgQIECBAgAABAgQIEOggIMx22MLt/YbdYfbo0aObc+fO7Qw8ffr05sqVK7ccvtff7/d3bu8L/Xp3AWG2+4Z8HwECBAgQIECAAAECBAgQIBAXEGbj5PGBu8PsoUOHNtevX9/5ht3/3uuj9vr7/f5O/NEGthIQZlutw8cQIECAAAECBAgQIECAAAECHQSE2Q5buL3fsDvMHjx4cHPjxo2dgbv/vdcX7PX3+/2d2/tCv95dQJjtviHfR4AAAQIECBAgQIAAAQIECMQFhNk4eXyg/2M2Tm5gERBmnQQBAgQIECBAgAABAgQIECBAoAgIs/NPYneYPXLkyOb8+fM7jz516tTm6tWrNwGOHz++8+9Lly7d/G97/f2tfme+qBfuV0CY3a+YvydAgAABAgQIECBAgAABAgQIEBglsL29vTl58uTOmy5cuLDZ2tq6+b7Dhw9vDhw4sLl27drN/7bX39/qd0aBecwqAsLsKox+hAABAgQIECBAgAABAgQIECBAgAABAssFhNnlVv6SAAECBAgQIECAAAECBAgQIECAAAECqwgIs6sw+hECBAgQIECAAAECBAgQIECAAAECBAgsFxBml1v5SwIECBAgQIAAAQIECBAgQIAAAQIECKwiIMyuwuhHCBAgQIAAAQIECBAgQIAAAQIECBAgsFxAmF1u5S8JECBAgAABAgQIECBAgAABAgQIECCwioAwuwqjHyFAgAABAgQIECBAgAABAgQIECBAgMByAWF2uZW/JECAAAECBAgQIECAAAECBAgQIECAwCoCwuwqjH6EAAECBAgQIECAAAECBAgQIECAAAECywWE2eVW/pIAAQIECBAgQIAAAQIECBAgQIAAAQKrCAizqzD6EQIECBAgQIAAAQIECBAgQIAAAQIECCwXEGaXW/lLAgQIECBAgAABAgQIECBAgAABAgQIrCIgzK7C6EcIECBAgAABAgQIECBAgAABAgQIECCwXECYXW7lLwkQIECAAAECBAgQIECAAAECBAgQILCKgDC7CqMfIUCAAAECBAgQIECAAAECBAgQIECAwHIBYXa5lb8kQIAAAQIECBAgQIAAAQIECBAgQIDAKgLC7CqMfoQAAQIECBAgQIAAAQIECBAgQIAAAQLLBYTZ5Vb+kgABAgQIECBAgAABAgQIECBAgAABAqsICLOrMPoRAgQIECBAgAABAgQIECBAgAABAgQILBcQZpdb+UsCBAgQIECAAAECBAgQIECAAAECBAisIiDMrsLoRwgQIECAAAECBAgQIECAAAECBAgQILBcQJhdbuUvCRAgQIAAAQIECBAgQIAAAQIECBAgsIrA/wHbLxxbdSyzkgAAAABJRU5ErkJggg==" } }, "cell_type": "markdown", "metadata": {}, "source": [ "![image.png](attachment:image.png)\n", "out.loss.loss_dict[\"overall\"] can also be accessed as out.loss[\"overall\"]\n", "\n", "It is also possible to select the part(s) of the mesh to plot the losses on:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:root:VTK requires 3D points, but 2D points given. Appending 0 third component.\n", "WARNING:root:VTK requires 3D points, but 2D points given. Appending 0 third component.\n" ] } ], "source": [ "group_names = [\n", "\"stator core\",\n", "\"rotor core\",\n", "\"stator winding\",\n", "\"rotor magnets\",\n", "]\n", "out.loss[\"overall\"].plot_mesh(group_names=[\"stator core\", \"stator winding\"]) # Overall on stator\n", "out.loss[\"overall\"].plot_mesh(group_names=[\"rotor core\", \"rotor magnets\"]) # rotor core with magnets" ] }, { "attachments": { "image-4.png": { "image/png": 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" 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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "![image.png](attachment:image.png)\n", "![image-4.png](attachment:image-4.png)\n", "\n", "# Advanced: Loss model setup\n", "\n", "In the first part of the tutorial, LossFEA automatically setup all the losses sub-model. In this second exemple, a Loss object is used to setup manually the losses sub-model. The machine used in this tutorial will be the Toyota Prius machine defined in the \"[How to define a machine](https://pyleecan.org/01_tuto_Machine.html)\" tutorial. " ] }, { "cell_type": "code", "execution_count": 13, "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. 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// 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": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load the machine\n", "\n", "machine = load(join(DATA_DIR, \"Machine\", \"Toyota_Prius.json\"))\n", "fig, ax = machine.plot(is_max_sym=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Definition of the simulation\n", "\n", "As previously a single operating point, current driven simulation is defined with FEMM to compute the flux:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "from pyleecan.Classes.Simu1 import Simu1\n", "from pyleecan.Classes.InputCurrent import InputCurrent\n", "from pyleecan.Classes.OPdq import OPdq\n", "from pyleecan.Classes.MagFEMM import MagFEMM\n", "from pyleecan.Classes.Loss import Loss\n", "from pyleecan.Classes.LossModelSteinmetz import LossModelSteinmetz\n", "from pyleecan.Classes.LossModelBertotti import LossModelBertotti\n", "from pyleecan.Classes.LossModelWinding import LossModelWinding\n", "from pyleecan.Classes.LossModelProximity import LossModelProximity\n", "from pyleecan.Classes.LossModelMagnet import LossModelMagnet\n", "from pyleecan.Classes.OutLoss import OutLoss\n", "import numpy as np\n", "\n", "simu = Simu1(name=\"test_FEMM_Loss_Prius\", machine=machine)\n", "\n", "\n", "Ic = 230 * np.exp(1j * 140 * np.pi / 180)\n", "\n", "simu.input = InputCurrent(\n", " Nt_tot=40 * 8,\n", " Na_tot=200 * 8,\n", " OP=OPdq(N0=1200, Id_ref=Ic.real, Iq_ref=Ic.imag),\n", " is_periodicity_t=True,\n", " is_periodicity_a=True,\n", ")\n", "\n", "simu.mag = MagFEMM(\n", " is_periodicity_a=True,\n", " is_periodicity_t=True,\n", " nb_worker=4,\n", " is_get_meshsolution=True,\n", " is_fast_draw=True,\n", " is_calc_torque_energy=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following loss object setup is the same as the one automaticcaly defined by LossFEA but it can be edited to add other models." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# A loss object is created. The models are set in dictionnary.\n", "simu.loss = Loss(\n", " is_get_meshsolution=True, # To be able to plot the losses on the mesh at the end\n", " Tsta=100, # Stator temperature [°C]\n", " model_dict={\"stator core\": LossModelSteinmetz(group = \"stator core\"),\n", " \"rotor core\": LossModelSteinmetz(group = \"rotor core\"),\n", " \"joule\": LossModelWinding(group = \"stator winding\"),\n", " \"proximity\": LossModelProximity(group = \"stator winding\"),\n", " \"magnets\": LossModelMagnet(group = \"rotor magnets\")}\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once set up, the simulation can simply be run using the *run* method." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[16:35:00] Starting running simulation test_FEMM_Loss_Prius (machine=Toyota_Prius)\n", "[16:35:00] Starting Magnetic module\n", "[16:35:02] Solving time steps: 0%\n", "[16:35:02] Solving time steps: 0%\n", "[16:35:02] Solving time steps: 0%\n", "[16:35:03] Solving time steps: 0%\n", "[16:35:05] Solving time steps: 25%\n", "[16:35:05] Solving time steps: 25%\n", "[16:35:05] Solving time steps: 25%\n", "[16:35:06] Solving time steps: 25%\n", "[16:35:08] Solving time steps: 50%\n", "[16:35:08] Solving time steps: 50%\n", "[16:35:09] Solving time steps: 50%\n", "[16:35:09] Solving time steps: 50%\n", "[16:35:12] Solving time steps: 75%\n", "[16:35:12] Solving time steps: 75%\n", "[16:35:12] Solving time steps: 75%\n", "[16:35:13] Solving time steps: 75%\n", "[16:35:14] Solving time step: 100%\n", "[16:35:14] Solving time step: 100%\n", "[16:35:14] Solving time step: 100%\n", "[16:35:15] Solving time step: 100%\n", "[16:35:15] Running Loss module\n", "[16:35:15] End of simulation test_FEMM_Loss_Prius\n" ] } ], "source": [ "out2 = simu.run()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As before, all losses output are stored in out.loss and each model in out.loss.loss_dict" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stator core: 292.64 [W]\n", "rotor core: 14.81 [W]\n", "joule: 7579.03 [W]\n", "proximity: 16.83 [W]\n", "magnets: 12.18 [W]\n", "total_power: 54596.16 [W]\n" ] } ], "source": [ "power_dict = out2.loss.get_power_dict()\n", "for key, value in power_dict.items():\n", " print(key+\": \"+format(value, \".2f\") +\" [W]\")" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stator core\n", "rotor core\n", "joule\n", "proximity\n", "magnets\n" ] } ], "source": [ "for key in out2.loss.loss_dict:\n", " print(key)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the distribution of the losses in the machine\n", "Losses as a function of speed is available with:" ] }, { "cell_type": "code", "execution_count": 19, "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(\"
\");\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", " '';\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", " '';\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 = '';\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 = '';\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": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "N0_array = np.linspace(10,10000,100) # To enforce N0 axis\n", "out2.loss.plot_losses(N0_array=N0_array)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The meshsolution is stored in the output of the simulation, allowing to plot the machine with the loss values in each elements. The loss values can be separated by each type of loss. The result can be summed to get the overall (which is automatically done for LossLEA)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:root:VTK requires 3D points, but 2D points given. Appending 0 third component.\n" ] } ], "source": [ "All_core = out2.loss[\"stator core\"] + out2.loss[\"rotor core\"]\n", "All_core.parent = out2.loss # Needed to plot\n", "All_core.plot_mesh(group_names=[\"stator core\", \"rotor core\"])" ] }, { "attachments": { "image.png": { "image/png": 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" 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