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3000
           "    status_bar.classList = 'mpl-message pull-right';\n",
           "    toolbar.appendChild(status_bar);\n",
           "    this.message = status_bar;\n",
           "\n",
           "    // Add the close button to the window.\n",
           "    var buttongrp = document.createElement('div');\n",
           "    buttongrp.classList = 'btn-group inline pull-right';\n",
           "    button = document.createElement('button');\n",
           "    button.classList = 'btn btn-mini btn-primary';\n",
           "    button.href = '#';\n",
           "    button.title = 'Stop Interaction';\n",
           "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
           "    button.addEventListener('click', function (_evt) {\n",
           "        fig.handle_close(fig, {});\n",
           "    });\n",
           "    button.addEventListener(\n",
           "        'mouseover',\n",
           "        on_mouseover_closure('Stop Interaction')\n",
           "    );\n",
           "    buttongrp.appendChild(button);\n",
           "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
           "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
           "    var fig = event.data.fig;\n",
           "    if (event.target !== this) {\n",
           "        // Ignore bubbled events from children.\n",
           "        return;\n",
           "    }\n",
           "    fig.close_ws(fig, {});\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._root_extra_style = function (el) {\n",
           "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
           "    // this is important to make the div 'focusable\n",
           "    el.setAttribute('tabindex', 0);\n",
           "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
           "    // off when our div gets focus\n",
           "\n",
           "    // location in version 3\n",
           "    if (IPython.notebook.keyboard_manager) {\n",
           "        IPython.notebook.keyboard_manager.register_events(el);\n",
           "    } else {\n",
           "        // location in version 2\n",
           "        IPython.keyboard_manager.register_events(el);\n",
           "    }\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
           "    // Check for shift+enter\n",
           "    if (event.shiftKey && event.which === 13) {\n",
           "        this.canvas_div.blur();\n",
           "        // select the cell after this one\n",
           "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
           "        IPython.notebook.select(index + 1);\n",
           "    }\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
           "    fig.ondownload(fig, null);\n",
           "};\n",
           "\n",
           "mpl.find_output_cell = function (html_output) {\n",
           "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
           "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
           "    // IPython event is triggered only after the cells have been serialised, which for\n",
           "    // our purposes (turning an active figure into a static one), is too late.\n",
           "    var cells = IPython.notebook.get_cells();\n",
           "    var ncells = cells.length;\n",
           "    for (var i = 0; i < ncells; i++) {\n",
           "        var cell = cells[i];\n",
           "        if (cell.cell_type === 'code') {\n",
           "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
           "                var data = cell.output_area.outputs[j];\n",
           "                if (data.data) {\n",
           "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
           "                    data = data.data;\n",
           "                }\n",
           "                if (data['text/html'] === html_output) {\n",
           "                    return [cell, data, j];\n",
           "                }\n",
           "            }\n",
           "        }\n",
           "    }\n",
           "};\n",
           "\n",
           "// Register the function which deals with the matplotlib target/channel.\n",
           "// The kernel may be null if the page has been refreshed.\n",
           "if (IPython.notebook.kernel !== null) {\n",
           "    IPython.notebook.kernel.comm_manager.register_target(\n",
           "        'matplotlib',\n",
           "        mpl.mpl_figure_comm\n",
           "    );\n",
           "}\n"
          ],
          "text/plain": [
           "<IPython.core.display.Javascript object>"
          ]
         },
         "metadata": {},
         "output_type": "display_data"
        },
        {
         "data": {
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R6jXJZdcYqtXr3b3veaaa+xDH/qQXXDBBdE25blHEJROPvnkPSsIw+qyN77xja6cW265JRLedgubj3vc4+wb3/jGIe2XsCU5bKnevQ36vve9b+R6Ozw83HPfsBrut7/97YLW5c1vfrNkeXc3CSsyw7bwn//85/bZz3422pYdfgvH6173OhkT86l0iKvQvq9+9av2t3/7tzYzMxNd9sd//McW3IaD2MsBAQhAAAIQgAAEDjUBBMBDTZjyIQABCEAAAhA4bASC+DI4OBjdP6x8C3nrDjQH3kIJgGFFXlhJtltcesc73mFBEDyQY65JRdhOfNFFF+2zmHK5bCeddJLdeOON0TlBjDvllFMO5LbzuibkzPv4xz8enRuEzR//+Md2/PHHu2v/5E/+xH74wx/Oq8z5nnTrrbfuN2diKCtsm/7kJz+5z2LDasqw9fdVr3rVfG9t//zP/2znnXfePs8P8ffsZz87cv8N5XNAAAIQgAAEIACBxSCAALgYlLkHBCAAAQhAAAKHhcBdd921J99dWAkYttEe6LFQAuCLX/ziaOtnOMJ20P/+7/8+IFEy5KbbvSU4mEn87//+b7Tl9+6OsB03GFuE46/+6q/sAx/4wIHiuNvr3ve+90U5F8ORyWSiPHdB6FPHUhUAw3bsf/qnf7LjjjvuHjG6OwEw5F4MRigh9x8HBCAAAQhAAAIQWEwCCICLSZt7QQACEIAABCCwqATCNtSw5TSYfwRx7Pvf/7497GEPO6A6LJQAeOyxx9rvfve7qA5BLAr5+w7kCCsHd5tShJV/YQXg/o7t27fvyf334Ac/OMoxuNDHt771LXvCE55gIc9hOMJKtxe84AULfZsFKe/zn/98JMCGI+RIHB8fj7aA7+6fQqFgL3/5y6Pt2SFH43yOkF8xbB8OR1jlGXJMBnE2CLbdbjcSe0NOyrCte8OGDfMpknMgAAEIQAACEIDAQRNAADxohBQAAQhAAAIQgMBSJhAEtiD0hCOsRnva054W/e/MM8+00dHReVd9IQTAbdu29Yg+d955px1xxBHzrsPcE5/0pCfZ1772teinhz/84fMyqAgC1Ic//OHomjVr1tjY2NgB3XtfFwWhK6ycm56ejk4JqwBD3rvldoTcfGGl5q9//euo6o95zGPs8ssvP6h8fSEPYMjRuDv34tFHHx3lZAxmNBwQgAAEIAABCEDgUBNAADzUhCkfAhCAAAQgAIHDSiCsegti369+9aueeoSVWMGY4owzzojMKs4+++y7zcm2EAJgMJh40IMeFNUjl8tZrVY7YDYPechDotVqB3qEFZG7nYEPtIy51wXH32BIEgxHwvH4xz8+EiiTyeRCFL/oZYT2hJyJIZ9gON7+9rfbhRdeeFD1CCsCn/rUp1pwpg5HiLtvf/vbB1UmF0MAAhCAAAQgAIH5EEAAnA8lzoEABCAAAQhAYFkTCGYg733ve6PtqCEvoDpWrVoVOe2+9rWvlbn0FkIA/K//+q/I/TUcYfVh2HJ6oMe9731vu+mmmw708ui6sCJwIY6w1Trktdtt5hHciq+66qo9BiwLcY/DUcbcfH5r1661rVu3HrSgefvtt0cGJbvZ/+IXv7ATTzzxcDSPe0IAAhCAAAQgsIIIIACuoM6mqRCAAAQgAIGVTiCswAp576644gq78soroy2YcRHuT//0T+3LX/6yM+ZYCAFwIVcABgOQkFcuHGFFWaj34TrmuumGrcXXXHONhVyH8zne//73W9geu5DHm9/85sh5+GCP+JbtsIr0hBNOONhio+3au1ekBkOY888//6DLpAAIQAACEIAABCBwdwQQAIkPCEAAAhCAAARWLIEgCIaVau95z3v2bMsMML74xS9GeQLnHgshAMYFpbAacePGjQfEP+SlC+664Xj3u99tr3nNaw6onIO9KOT4e/WrXx0VE4wyvve97+1Z5Tifsg+nC/D+6tdoNKKt2ruPsILz9NNP399l+/17KCPEXTje9ra37TFz2e+FnAABCEAAAhCAAAQOkAAC4AGC4zIIQAACEIAABPqHQNiO+bjHPW5PPrbzzjvPPvvZz/Y0cCEEwFDgQrkAX3zxxfaWt7wlquMjH/lI++53v7voHRIMLZ74xCdGbrfh+PSnP23Pfe5z71E9lrIAeNttt0XbdXcfN954Y5Q38mCPuTHwD//wD/aiF73oYIvkeghAAAIQgAAEIHC3BBAACRAIQAACEIAABCBgZh/84AftZS97WcRCmTMslAD4kpe8xILoE47gmBtWlQVDknt6hG22p5xySnRZuD5sB37AAx5wT4s54PNvuOGGaDXcbsffkD/xne985wGXtxQv/NCHPmQvfelLo6oVCgULxiDh/x7MEbjNzfn3gx/8IDKp4YAABCAAAQhAAAKHkgAC4KGkS9kQgAAEIAABCBxWAjMzM9EWzrA1dX9HMP8IW4HDce6551owgJh7LJQA+Jvf/CbKAbd71dw73vEOe/3rX7+/6sm/n3XWWRYEpHA88IEPjPIaDg0N7bessLW1XC5bMD45kCPkTQyOv7sdcp/0pCdFeROXuuNvEPCC+cp8jrD6L7QxuEiHI7j3fulLX3KX3pMy6/V6JC6HHJThWLduXWRKExyZOSAAAQhAAAIQgMChJIAAeCjpUjYEIAABCEAAAoeVQBDHnvnMZ9oLX/hCe/rTn27BnTZ+tNttu+yyy+x5z3ueBYEmHJ/73OfsWc96Vs+pCyUAhkLDarmQt2/3EVaZXXLJJdK44tprr7WwEi0IlPH6//KXv4xWEQaX43AEg4q///u/j7YEqyO4Bv/Lv/yLffjDH7aPfvSj9oQnPOEe909w/A3l7xaxgvAYVjGWSqV7XNZiX3DSSSdFQmnYphzcmNXKy9C+IPSFvIZbtmyJqpjJZKIVlkG4jR+vfOUrLfRD2MZ79tlnWz6fl80KjMK5oT93H5/4xCeiuOOAAAQgAAEIQAACh5oAAuChJkz5EIAABCAAAQgcNgJBAAyr5HYf69evtwc/+MG2YcMGS6fTtnXrVvvJT36yR+gJ551xxhnRqrr4araFFABbrZY95SlPsa997Wt76hZWKYYttSHnnKrb9ddfb8H5N35cfvnl9oxnPMMqlcqePx111FEWxK7gyBtW+42NjUUC1h133LHnnHDvAxEAf/jDH1rI27f7CKv/wv3mc4Tciru3Lc/n/IU+Z65z8vDwsD3oQQ+yTZs2Rasma7Wabd68OYqHycnJPbcOffH5z3/ezjnnHFmdV7ziFRacjMMRVpsGkfb444+3kZERC+JyYB+cp+eyD+e+/OUvt/e9730L3UTKgwAEIAABCEAAApIAAiCBAQEIQAACEIBA3xL48Y9/HK30CoLbfI7g/PupT33KBgcH3ekLKQCGwsMW4De+8Y323ve+d8/Kw33VMWwRDavM9mVAEcS9sJIsiFfzOYLIGLbsKkFxf9fHRdX9nT/37wdiEnJPyt/fuUF8DLkT53sEPiFf46mnnrrPS173utfZu971rvkWGW37Das/n/Oc58z7Gk6EAAQgAAEIQAACB0sAAfBgCXI9BCAAAQhAAAJLmsDExIT9x3/8h/3oRz+ysIru5ptvjswcwuqssPLruOOOiwSeZz/72VHOt30dCy0A7r5PWHX2mc98JnLxDVt0Q369sOosCEVhNdkjHvGIaIXfkUceuV/O3/nOd+wrX/lKtCU35JYLK9nCqrS1a9fafe5zn6idj3nMY6JtwwdiPBIqsJwFwLC9N7AJqxivu+46++1vfxut/gz5EAOnsCowrN57yEMeEq3QDOLxfI4gwH7/+9+PxMXgFBz6NOSfDKtIQ4yFFZJh5eljH/vYyDU53IsDAhCAAAQgAAEILCYBBMDFpM29IAABCEAAAhCAAAQgAAEIQAACEIAABCCwyAQQABcZOLeDAAQgAAEIQAACEIAABCAAAQhAAAIQgMBiEkAAXEza3AsCEIAABCAAAQhAAAIQgAAEIAABCEAAAotMAAFwkYFzOwhAAAIQgAAEIAABCEAAAhCAAAQgAAEILCYBBMDFpM29IAABCEAAAhCAAAQgAAEIQAACEIAABCCwyAQQABcZOLeDAAQgAAEIQAACEIAABCAAAQhAAAIQgMBiEkAAXEza3AsCEIAABCAAAQhAAAIQgAAEIAABCEAAAotMAAFwkYFzOwhAAAIQgAAEIAABCEAAAhCAAAQgAAEILCYBBMDFpM29IAABCEAAAhCAAAQgAAEIQAACEIAABCCwyAQQABcZOLeDwFIhcPvtt9sHPvAB+/rXv27h/8/lcnb88cfb05/+dHvJS15ixWJxqVSVekAAAhCAAAQgAAEIQAACEIAABCBwEAQQAA8CHpdCYLkSCKLfueeea1NTU7IJJ5xwgn3jG9+w3/u931uuTaTeEIAABCAAAQhAAAIQgAAEIAABCPwfAQRAQgECK4zAz372Mzv99NOtUqlYqVSyCy+80M466yyrVqt22WWX2cc//vGIyH3ve1+79tpro3M4IAABCEAAAhCAAAQgAAEIQAACEFi+BBAAl2/fUXMIHBCBIPb94Ac/sHQ6bVdccYWddtppPeW8+93vtgsuuCD67ZJLLrGLL774gO7DRRCAAAQgAAEIQAACEIAABCAAAQgsDQIIgEujH6gFBBaFQFjRd/LJJ0f3Ov/88+0jH/mIu2+n07ETTzzRbrzxRlu1apVt27bNMpnMotSPm0AAAhCAAAQgAAEIQAACEIAABCCw8AQQABeeKSVCYMkSuOiii+ztb397VL+rr77aTjnlFFnXSy+9NNoaHI7vfOc79qhHPWpB2lSr1ewXv/hFVNbatWujVYgcEIAABCAAAQhAAAIQgMDiEGi1WjY2Nhbd7AEPeIDl8/nFuTF3gQAEDjsBBMDD3gVUAAKLR+BhD3uYXXnllTYwMGCTk5P7FOCuuuqqKE9gOMIW4LAVeCGOuSsQF6I8yoAABCAAAQhAAAIQgAAEDozANddcYyeddNKBXcxVEIDAsiOAALjsuowKQ+DACYRVd+Pj4/agBz3I/ud//mefBU1MTNjq1aujv59zzjn2r//6rwd+0zlXIgAuCEYKgQAEIAABCEAAAhCAwEETQAA8aIQUAIFlRQABcFl1F5WFwIETCNtvC4VCVMDZZ59tl19++d0WFtx/y+WynXrqqRZWBM7nuOOOO+72tM2bN+9ZWfjw8z5hhdKaPefvKHXctbc9IOF+Gzhu0v022fBbFxoNv704nW67a5v1VM9vqR0i32Gi69uV8b8ls778bK7prm00fd3a9aQ7L1HtrVs4IV33TPwvZu2cr3JrVcv9mFRt882wROy87pTnlKrNr24qSLq+qdYWMZFI+MqlWr4vOmXR/mnPPdnydU4LJulBz86K/h7VUuweeX/dUVkfw8dkdrjCtnZXud82N0fcb5UZ367MFhU7nlM759ufn/GM2wV/XnNIsCv737riHmt+19uMtTd6lrWGnxOq/idr+qFj1hVjtunr1kr581IlP2Yrac+znRJBu96zK4z4GOg0/PjJirGdjl2azvu6iWZZuZJ1QLsmmIhYV/OJ+eKsVvLtL9/Hd1AqL+ZF0bftAX/tQKnh2pHL+PKqtd4KVn+761k39zh2a9X9tm7C901l0l+bqfv4zHV9fZs1z6TZ9kQbLR+0KhY7GX+PXMHHwOpCzVWwkBTjx3ofDFuzvq31jT5OZkq+vtWC/y253vdXYcjDa6c9k/VFPy+2zPPcXh1ybR1O+PYXZ3yfdbeIB+OMb0cn1medjj+nlBLP9pqfi2vTYizWfHnduueeboox0fT3Heh67t2WZ7cu78fAVHPAgSqK2Jmd8rFSTPaOn2bVt78gYnggPrGZ2ZED0/4ZWBv0708dMY+LuW2m5euSy3hObdG3U7M+TtIDPsaaOR/b02LuHez01qVU8/N/Ie/7uiFipyqeWfUBP4/NmOfUHtg7dzYqO+znX/3LiO+tt95qxxxzjHo14zcIQKAPCSAA9mGn0iQIKAIh18e6deuiPz3jGc+wyy677G5BrV+/3rZv3x4TEOFYAAAgAElEQVQZguzO27c/somE/HSUl5394q9YcWhXfcKxfdC//NzyR7680gk7XXk76+Ijpu5fsDIZ/5LUiL2wp8f8dd15CoCpnP8wzeX9C2ddiJOtmBAZGpksCxFHiWwCuxIAm2vmKQAKrSuZ6O2fzoT/qEkvsADYEjGRTAoBUHwkdWZ92DUnfd8mhXqSSfoPscyQgDLgzysPxe5R8Ncdm/Ni3/GZXbl45h53dkfdb7c2d63MnXuUhRibvUPFjhAA8z54ClNCACwKEWNECICz8xMA19/c24b1P/P9VRUiUeVgBMCGEDGVADjkx2xZ5CttC1HQjvDsiqv9B3un7sdPToyfdOzSdNHXTQmAs+IDtqMEQBHrSk9VAmB1yMfYzP19B6ULSgAUMSYE/5IQj/JCAKxUez/YKzd6df7ed1ZckG3c4fumvMNfqwTAfEd8sCsBUIh9dfFbU8RiR/yjUr7o67ym6IUdJeJUYgLgnTkv/tQ2+XZNi76uFIUAuNELIsURL5y0M34sHjEw4fqnKQTALZVhd94qIQCWpsQ/DN0h8pxN+zjuxP5hSAmAgyk/FhtV/4ypTnkxqVsVomNNPHcafpyUhAA42PHcO0IA21jw/zI20fAiW0k8Z6cnfawMJHtjsVnx7S+K8VoS72L3KnkB+K6q7+u6EACbYm6bFv/Qms/6PmsJAXBixsdJpuTHWCPvY1uJh0MxAXCw6uf/ATFP1id97FTSPk5q4h+tpszHWHvOP2TWZ8fsui/8f9FYCv84v2nTpv294vN3CECgTwggAPZJR9IMCOyPQHjA3+te94pOO++88+yzn/3s3V4Szg3XHHfccXbTTTftr/jo7wiACIDxQJmvJKxWACIAIgDG4wkBEAEQARABMD4vIAAiAMZjAgEQAXBeHy6cBIEVSAABcAV2Ok1emQQWYwXg/rYAb9myxU4++eSoAx7z8i9bYc4KwIm9u4H3dNCO4/yHzuCxfpXAXeb/ZXqy7P8Ft5DzH8+18d7z1Iowte2uKLawxLcNhYbUxGq/TNavCmuK7TrJbf5fifPTfnVGq+RltqrYxjW61u+JaovtaZPjJTdI4rvdchP+5TIlVjB01FbkAbFKTGypTontfwXz7KpTnlNLbOtKjvuVHqmq/9f0rl9Qam2vxZl5TNba2Ns/xw76eD0m4X+ztud5Z91vAb590q+IaIiVY5k7Rf+URVvFdJjfIbZJDfqVHR2xLVAsYrDhWX/f1Xf0xkB6pz+nIbZd+vUWZs2cv7YlVgo22v48cQtriS1rnY5YUSlWjnTWiRU7Yvt4TqzaLMW204WuiY+7hhgns0nf13VRt65YdZYUbc34adeUYXtXrM7adl/RF2LspMVq6foRfmyfuO4uPxeVfXtnf9u7aq9xg38mrJ30fbOxpYJMrBQWaRFmYqsOQ0XTKbHaUfTrlFgBWhar1hMibcWaol/F1W77OufFyvX46uZyTmxZXSsGj9jae0dGbB1d61dZDq3yy7G3Jv3kuargzxtN+7aWKyL3gliRvnrKB3J3RjwrxOr7Trd3fqrGVnCFvl6T9VtWG+I5PlHxD5RC28f6cMfPbkd0/Kq4kbZfibZTrOLLme/HWse/F5Vbvh+Pyky5cbej5rder7Le/t5W9SkqTsiPu7LSYnVaMsY8XHRr1U8eg1kfE2oFYLUrVqiKFCIqNcJdNf+c7Yht0UeUtru2zXT9S8/4TO/K/XTDx+Go2J48PuVXZ3bS4h1QrBSeaordLMN7x0RtdsyuZAXgyvwgpNUrngAC4IoPAQCsFAKLkQNwfyyDQHjUUUchACIA+o96BEDHBAHQzygIgF5gQwA0QwBEAIzPFgiACIDxmEgiAO5BggC4vy8W/g6B/iWAANi/fUvLIOAIHG4XYATAXV3CCkBWALrByQpAh4QVgKwAZAWgX1HICkBWAMYnS1YA+n8YYQUgKwD5DIQABDQBBEAiAwIriMDDHvYwu/LKK21gYMAmJyctrfZ1mUWuv6effnpE5uKLL7ZLLrlkQSghACIABgIttgD78YQAiADIFmAXAwiACIDxoGALMFuA4zHBFmA/T7AFeEE+WygEAn1JAAGwL7uVRkFAE3jDG95g73jHO6I/Xn311XbKKafIEy+99FK78MILo799+9vftkc/+tELghQBEAEQAdCMHIBm5AD0qzPIAUgOwPiDlhyA5ACMxwQ5AMkBGI+JFjkAF+QbhUIgsFIIIACulJ6mnRAws2uuuWaP6Hf++efbRz7yEcel0+nYiSeeaDfeeKONjIzY9u3bLZPxH6sHAnSuAPgnr/xSjwlIfcRv4aiN+n/VLG70icJv7/gk1jMdX2f/eWmWKPcm9+/mfd6coaLPPLYu7+sx2/DJn8cmfRLnbkd44wozjsyMPy+hLhU7ojrrfAL0tEgo3xJJy7vTPjG8xboi63OEW6rp+7Cyzifi7gx4xqmKaGvJ91hOrJKq7/TcM+P+vgm/cMK6whiiMSog+9zplhjw7S1t6L3JcXlv+DFkwrFRJCz/+fgRfnxu98nDRU54S8z4uqWn/G8dEVDZGd8/We8LYpmUZ5xNeXYDgns+lj8/6b0DLCF+E/YEJoadNTb4MTtZ9UYes9P+t44wVUm3fLvyDc8zOSTO87ew4Ul/bdvnz7d2qXccl8V4bQhzD3GaJUUb0sIoIifmolTW19dyvq1l71tjU6P+2ulj/LWNTX7OOn7QGwjM3uLn+/rPewdo7jY//w8IZ5iRrL9nsuY7rCtip5Py7coUfHnNhoixph87VvO/dcVDKzHkf8wmRV3EcyY+PNOx+AoTTtn7H9jssO+vKbGDIDXi57Zu0Y/anW0/oQ4P+QE/kvHjuFvzz6fBsnhuV/1v3aq/Ntvx7xn1mOlPRZgADWfFO0BLlN8V7zFtHyeJhu//NQlv3LUm4QWwOxq9JhOhH1enPc+keM5UW96k5MikNziZbPpxV2n1PnuLoq3HZ3a451hamKq0u57dnQ0/KQ5nPJO7hJFJLuVjJyVyAG4R97h91t+3I+bKY4bHXNuKaf/Am47VL9n2bS2KKbbc8H3TFNcmUz7WC3k/FofnGO1Mzey0v/34y6P6b9682TZt2nQgr/VcAwEILEMCCIDLsNOoMgQOhsDubcBh++8VV1xhp512Wk9x7373u+2CCy6Ifvubv/kbe9Ob3nQwt+u5FgFwFw4EQATA+KDqIAC6eQYB0BAAEQD9uEAAdEwQABEA40GBAIgAuGAfLxQEgT4jgADYZx1KcyCwPwLXX3+9PfShD7VqtWqlUsnCtuCzzjor+u/LLrvMPvaxj0VF3Oc+97HrrrvOBgf9Crb93WNff0cARAAMBFgByApAVgCyAjD+nGAFICsA4zHBCkBWAMZjghWAfvUgKwAP9KuE6yCwMgkgAK7MfqfVK5zA1772NXv2s59t09N+m8du8e/rX/+6HX/88QtKCgEQARAB0IwtwGYIgAiACIAxAmwBdu8bCIAIgAiAvQTYArygnyUUBoEVSQABcEV2O42GgNltt91m73//+y0IfUGYy2azkeB3zjnn2Etf+lIrFkViuYMEhwCIAIgAiAAYYgABEAEQARABcC4BcgCSAzA+J5ADkByAB/nZweUQgIAggABIWEAAAotGYK4A+OSLPmnFkTV77r0z7ZOCNwo+8fjG1d5UYTLljRG2Jf2Lk0paXrXeBO1ZYZQxkvNJnTtdX7eJmr9nfdYbVKSqwvBCJN434XjQXOMTimeKIlO8SArfFnnmOrM+Wb40H+n0ChZJn8PcmgO+XbWNvm4DBe8oUZkRnJICgFglk5n2H066DT7Uu8KgoT3k75sUZhldYWYyvKo3VlTsTFS9uF6t+Bi2Wb/VJzfmGWcmBCdh2iFy3ct8lLlpYSgg+rs9LExAzF+bL/s6p1u952XVOeKewjrBmgV/z9QGv3Lmtmk/PmfHhOGNMKTJVwUTETspMQYGRDtKO3x5raIYPzHzDeFPYm0xd7RFOOVnRd8ocxfhgdNZI+YsYYxjwi9KJc+f3uDLmz3Gz21Hjky6QTt7l58rpn/TO6Zyd/lIyYlpsiAMahIiJBJ+1761RFvbOWG+o9ynhKlKZtLXOS36rL73sbmHTVLUOedxWiY2VTTE86QsDLkm8z7Ya8LwpyYMP9LKGETE56Aw25qp+SATvi023PSNHaz7ebFd8Z02nPFB0I3NYzuF01BsCov6Yrrmy1+b9WYcowlhUCHipC4MH4az3gREmTmNpr1JSbnpnz0zdW/ukRKxU0r6yaKQ6J3cMsLIYjThr9soXJ9S4v3kxupG/9AWLx8z4kE+IExQCkk/kLc0vevNHWVvAtIU8+yxI94EJJnyHTkZM1oZTnkmaWE0U6v7/mqKWBTD335vyBsonVi4cw/P8ZlJ+/OPvS36b0xAFu0ziBtBYEkQQABcEt1AJSCwMgggAO7qZwRABMD4iEcAFCIhAqDVEAARAGMEEAD9+xICoJ8/EQC98IoAiAC4Mr62aCUE7p4AAiARAgEILBoBBEAEwECAFYCsAGQFICsA4w8eVgCyAjAeE6wA9Gu7WAHo/2WIFYD+NZ4VgIv2acONILDsCCAALrsuo8IQWL4EEAARABEAzdgCbIYAiACIANhLgC3AflssAiACoHvjZQuwQ8IW4OX7XUTNIXA4CCAAHg7q3BMCK5QAAiACIAIgAmCIAQRABEAEQATAuQTIAehfDMkBSA7AeFSQA3CFfkDRbAgsIAEEwAWESVEQgMDdE5grAD72wk9bcXhvNvOprE+ePWU+2XtLJEoeWOVXDqxePe0qszPrM483Y7edavqk42sL3lCg3vH/5nrH2Gp3z0TLb+sSubStLYwMTDge5EZ8WzPxzO5mVq77trabPpF7quxvInMUdnsFi3bO5xxqHOW35tx/zV2OyVTDb4HdNjPozmvWPONU2bchLUwbEiLJfiItjBySInl8zucobHd8e9siCf4xa3qTgm9v+naNbfMJxnPTwmRBJFRPC9OCtM8Jb6mav1jkXbdmxt83K4wHVH8nUv4eOWFwU5zy80K8f9QKhpzIAZjK+/5KZIUJypAfJ7dM+GT31QkxyIThQ0GYlPjZySwx7JkUZj3j4nZ/njIWiiOoiZuKKcZi3kZRB+RETIhhYsKfwZQJiPBZsrTAKbxSrDUqDBoK4jfRt5UJHy3d23tvnPD+B5YV7c+J88RQN2uL/hKPu/qo2Mar5nFhvqLMd9Jlz6RV9AV2Sj7GCqK9xdne8iaP9r0z4acnm/FTtlXEbw0RPG0x77a9H4+Z6Ov8TjHfJ3xfFGeEOVLMuCrqLjHRtNMi7mI/teueeTv2TAzFJ+uiHnlvClEy/1tRPIvSaXHtgJ/wb695IwtRPes0PM9OxUMZzPlJcDjtf4uXNpT09R1K+Dn7D/Jb3ejZIcw4fjWzzp2XTPsHQyrj67Y6498BM2L1YLXjg/Y3s+vFe4s/b9OgN6UzYQIyHjNfSSd8zK0XD/dtk2tdPUpi3imlfHlHFn37Txu4Zc/VYzOT9vRPvD36b0xA+HqDwMoigAC4svqb1kLgsBJAANyFHwEQATA+EBEA/dSEAGiGAOg/bBEAEQDjswUCIAJgPCYQABEAD+sHDzeHwBImgAC4hDuHqkGg3wggACIABgKsAGQFICsAWQEYf761WQHoHvmsAGQFYDwoSqwAdOOEFYCsAOy37yXaA4FDSQAB8FDSpWwIQKCHAAIgAiACoBlbgM0QABEAEQB7CbAF2IsYbAFmC3B8nmALsP+wYAswH1sQgMA9IYAAeE9ocS4EIHBQBBAAEQARABEAQwwgACIAIgAiAPYQIAege78iByA5AONBQQ7Ag/oM4WIIQCC8g3e7Kk0sbCAAAQgsPIG5AuDpr/6C5Yf3JjhuDvtE0eNVn7Q/0RJmDOKNKLHGZ1nPj/hE0bVEbz6lVteXnxRJx9Vvk5O+vpYUTg4ZYUYhEoU3mj45d0ac1+6KBOV1f216ShiSCKOFljAa6MQSuYu82bbh6B0uaEopz3xbxRtjTE15dpkJv/1LGlQUfZ+1VvvVJCMl76Ax0PUrLFIi4X+qq+LT5zIcGuy9x9aZIcckO+77Jlf2MZFIztMYRBgKpLwHhqmc+LVhzykpTFVM+GyIvOOWFSYgIp+8JWPxJHxXLJvyzDeWfAL86aZPzl7Je55bhDFOTcRYouLnvlROGJ40ff/k8yJB/ZTv7+xOf21XMO7G+lb4+JinZNYVZgwZMXemxFjPCteOpJjabFAYzeR9I9LCpCgp2tqu+Ru3ap5TUxjhNGOcEuKcjDCKELOzJcTYaQkmqaq/unGkMIER3IvCVCY/I2ojOred9Uw6AyI+hZtJcbL3PDEV25j3HbCd6/w9694vyxolMY+JvlaPxYS/hRWmhKmGn7JNmbmoGOuKub0t5tlOrM7qS0nFjvB/sLR43hdFjGXFvKvG+/QqD7Qu7pGoCYMvwS4l3gHEK49lB/2zPB97CCTb/p45EYfHDvn8dB1h8HbnDp/bsC3mWIHTcuKhkhHPlFLaP0DvnPXP7XLVG9XlSsqUzZdXjrUtJwKlIOK/utPXY7jpGQ+V/D3vv3qbe5Adm9/72/jMpD3/45dE52ACsvDfO5QIgaVMAAFwKfcOdYNAnxFAAPy/DkUAdJGNAIgAGA8KBEAzBEAEQLdSEgHQPT8QAMXzAwHQxQkCIAJgn31W0RwIHBABBMADwsZFEIDAgRBAAEQADARYAcgKQFYAsgLQCVusAPSPVVYAehGHFYCOCSsA/dBhBSArAA/kO4VrILASCCAAroRepo0QWCIEEAARABEAzdgCbGwBZguweyqxBZgtwPGgYAuwf3ljC7Dfs8wWYLYAL5HPHKoBgWVBAAFwWXQTlYRAfxBAAEQARABEAAwxwApAVgCyArCXADkA/XsOAiACoJsnyAHogoIcgP3xjUQrILBYBBAAF4s094EABGyuAPjQV1/WYwLSWev/BfOOhjeLaIpk512RoL/r8zWbiQT1hULvffMiI/b4lHcZ6YjtatYWH/VZv6pjaNQbGRw/vN1FyE+2He1+64qE2kmR6yctEt6rpPUtwam6RqxEEfeNV25gnW9Xs+2z59dnvUNBfrsw/Kj4ZOctYfhR2+AH18Cod3I4ujDleTaE8UDdJ9mu1/y23W3bfYJui/V3alYYuVQ8X5U8XiXKT6n+F9sEVV/XRHWbJc+40xBGOHX/W0r8lhHb8zoFYXqT6L1vvu7rURL2FoMJf4OZmYLr16qYE2Zz/h7VKT8A2jkPNC8alhEmIKlJX97ANh9PxXEfsx1/msXNLKrCZKEtYqIhTHASwhglLUxA0sJAZHjUr7EZGfC/DWa9UUBTJPffPDXiADSmPbuOMLjptIWrROy2ibIwQBBzoprW4gYQoaLKoCUt+t9W+/gcyvh4Slf9vJMpC6cR8d7QKfryUimRA848g0QsyCoin+C2I3xZ06P+t6aIJ1MGMgJyRvRrJiE4TQgzKx9iFptOImrtmNFQ+K0j+kw8oqwbuzYp5rW0MBTJ1T2nAdHWwozvm4Iw6RL+HDYp+qI64MdEV70XCHYpYXqUFOeZeFdI5Xv7LCsMKnLCBKgYuy7qL/Esbs/4gKqIub2hXEvEPN4RriqFou+gas03ttXwfdYQbWuJ8R7vx5QwIymmhYHSrJ+gR+qeSWnAR8r64Rk3eyTSe/trenbcPvy5F0TnYALCBxoEVhYBBMCV1d+0FgKHlQAC4C78CIAIgPGBiACIAIgAiAA4nwc0AqCnhACIAOiiAgEQAXA+EyrnQGAFEkAAXIGdTpMhcLgIIAAiAAYCrABkBWCGFYBuGkYARACcz7MZARABME6AFYBi1wICIALgfCZUzoHACiSAALgCO50mQ+BwEUAARABEADTLsAXYEAD9LIwAiAA4n2czAiACIAJgLwG2ALMFeD5zJ+dAAAK7CCAAEgkQgMCiEUAARABEAEQADDGAAIgAGCdADkByAMZjIk0OQDdRkAPQr/ZDAEQAXLQPGW4EgT4ggADYB51IEyCwXAjMFQAf/srLrDC8dk/Vu0dUXTMmhn3S5cmcTwpeLPmM1Y2kP2+6mXf3SCV7c+ckRGLv2qS/TiWF74pE7Nkhn2B6w/C0q0ch7V/gfrVjvTsvMSOSole8QUOiKV6SC/68xojPbp4wn0+oHU/uLRJiJws+iXtXJPbOjft+zVR9fVvee8Xqe0NmD5uB9T6L+XDWGxQcmfPcq3Xft5Oz3lRietL/ltgiHBRiychTyihCJJTv+m414UdjSWH4oeIuIbLHt4S5g6iKdUWdVXnpmjBpKfm+bQ3789YVZntiuz7m+yE95aEUZn0M58r+t5n1wihBxMnOtjAB8cVZq+rPy4hxN7jFt39wu4/trKhzRyS3T8SMVkRuequLfq2sFVviBj2TjJizMkkPYGjIz7EZkQB/dcEbAVVFcN++Y5Wfiye8ABY3QQkXdcUcnYibgIj4TwljA2UUETeAiCoqcCZbIhazPtYHxaDNCbOEpPhNeRuYMLNpCXODbsHXpRmbxmaEqdLsOh8ndTGGU4N+9mglRB8qpxVhjpRr+vqmah68mp8KwlUkIUwVpsQkmMj4eyTjw1gYIw0I46LVDR94JWEM0i37Z0dTDO5GwsdYVYzjgRFhwCXiycSc1ZjwE0hbGNJk5xhI7B68qW5v/UrCAGMo45lkRGBP1vwzoDLt61YX845lxXwv6tsWji/xd8DQNjWe6uJdpinam4gZy4XyqrHl3UmRtHJYGE3lRH0zNc9kULR1w6A3AZmZ4/o2Wx63f/yX50ZdiQnIcvmKop4QWBgCCIALw5FSIACBeRBAANwFCQEQATA+XBAAEQARABEA4/MCAiACYDwmEACFCzgCoHsDRwCcx0cJp0BghRJAAFyhHU+zIXA4CCAAIgAGAqwA9KMPARABEAEQARABsJcAKwBZARgfE6wAZAXg4fh+4Z4Q6CcCCID91Ju0BQJLnAACIAIgAqBZii3AxhZg/2GPAIgAiACIADiXAFuA2QIcnxPYArzEP3SoHgSWAQEEwGXQSVQRAv1CYK4AeOYL/s3yg+v2NK1+vM/jNrnafyRPZHwuruFRf20z5T8mZ+s+706i3XuPbiznVqhgYsaXlSz53H6W9tuVhgd9bsNVRV/fX4/5fH/ZMZHvT+TKS4i8cLUhz6622itPIyWfOyhj/ryxyd6EfO1J/2Iu0hWZSKdm+Ukf0e28P7M57HkmRn0+oWNGd7oCZ1s+Z19KJPKaLfuVZ+0p37b8Nr9tuTDu6xdPd5Ru+HPSInS6ad9+lbOsmROcRCrCtshr1RFx0hK+Ay3fVGtmhWAlJqbmiG9vccDnYyzEcnu17vL9MDDh71kUufNyvnibWefr0T7Sj8VawZ83JeaJ9LQHlRf5CAfvEHPAnSK3WdtDboucl91Yjq3ZIV9+WeRxq6wWWyfF/BQ3Y4kEepGfKifybhWyfp6odzynqkhSKDbxWXJSCIAil19b1CU90xsrKZEnMD0tcqWK3H4x5LuiXExkCTFOsqK8vNjHWxTPmbTIxyiKs1bRD+SGGMiNjMj5uqa3z2oD/g7Voh/YdT+dmhXF/CfyE7ZF/sx0Tcx3Yhx3/aPSuiIB77ohn+9soiXmdsEkIXJvZmL5A7s139kb2n4+GayIfKdNP+FXKn6w1+fkZ9vdA6mCH2M7RX7jNSMTrtOmGyI5qJizqjs8JxPtzaV83G2M5XJdlfRtrbd9+R0xeCYb/kE2Lp7Pa0QO5Y05/w5wZ93nGZ0UgVwSOQrTYg68Y2rIMU7nfXtL+d78tuGiW6aHe65NifyUozmfpFQMT8u1xXuhyLN5zJCPiS31gT31CDkAP08OwH75vKIdELhHBBAA7xEuToYABA6GAALgLnoIgAiAcQIIgAiACIAIgG5eEA9cBEAhsiEAIgDGCCAAIgAezPcK10KgnwkgAPZz79I2CCwxAgiACICBACsA/cBEAEQARABEAEQA7CXACkBWAMbHBCsAWQG4xD5tqA4Elh0BBMBl12VUGALLlwACIAIgAqAZW4DN2ALMFuD4k4wtwGLbNisAHQG2AHsBiC3AbAGODxS2AC/fbyVqDoFDTQAB8FATpnwIQGAPAQRABEAEQATAEAMIgAiACIC9BMgBKFZGkwPQQSEH4LRjQg5An1MTAZCPLwhAYF8EEACJDQhAYNEIzBUAT//L/2f5ob0mIIl7+8TJY0PCyCPvfxte5b8SxmqDvl0V/y/nyZgJSEIkuk6IRPQ5kfw5nfVJsrMFf/HOpsiofof/LT/tV4S0lFmGyhQ96pNTZ7L+t5ZIHp1P+jrXG73cZzZ7vlmRZL8rmipy4ltr0Le1M+J5JoW5xYM23OH6WuX/man5yiS3+sTj+Z2+LqUtfitWdtr/lsz2Jl7PimT/2YZIgC+cgTvCVaUiTCA6sRgOMLrC8EMZLzSFgYjwwLCyMJVQ1yaGfYylRV0SO3vNfEpbvCA24PP6W1rUNy3Gp+I0O+orklnrnQd2ikTxuR1+3inu8HFS2OGnnQHxW9bne7eEcJqITxUVMa1N+1z3Vh4WvZ3x7U+VPfescBVKlMXcKQxkUsLcIVP18d7yxVlDeBF0hQtGouN/zMWMhbLen8GyMaOQfT34OsLcQxktJcVElhLXpoSBjvDKMDlORJzMirFYUzzFWGmWetm1RczVhJFPt+Eb1vV+XNYWcSf8Diw/IUDVhXGPMAZpC7MUS4pAER3ZFs8ZK/mxksv1TshdEf/Fur9upOEn8mOT/t0m2fQdtnPWG4PU2n6QtYb9hFcQZl5by97NpdTx83NTGHoNineARsPX+ehSrxg3nPTtrwgzlom6r1tTGO1M13yQrR3xLmKjWfGwEAN8e8MbeZTFxNMVsdMSz9m8cKAazPr+/l211wRkpuIHZ1GYKm0QxiDCK8oGU577mpyvx0Rn7yQ7M7vDPv5P50eUNm/ebJs2bVq0bwFuBOLHqosAACAASURBVAEIHF4CCICHlz93h8CKIoAAuKu7EQB92CMAeiYIgJ4JAqBnggBohgDo40KYqhoCoBAKEQBd8CAAeoEaAXBFfa7QWAj0NQEEwL7uXhoHgaVFAAEQATAQYAUgKwBZAejnZlYAeiasAPRMWAEoRDxWALpAYQWgHzusAGQF4NL6KqI2EDg8BBAADw937gqBFUkAARABEAHQjC3AZgiACIBxAmwBFjHBFmAHhS3AbAGOBwVbgNkCvCI/qmg0BA6QAALgAYLjMghA4J4TQABEAEQARACMYoAcgG4CZQUgKwDjBBIIgAiAMQLkACQHYHxQkAPwnn+PcAUEVjIBBMCV3Pu0HQKLTGCuAPjgiy+z3MjaPTXorPdfOjMDPg/LeNsnj04W/ZagZN0nrJZJ1mOmEoNFkT1eZKcezfsEyymRZP+2em/y59DgatVnu89NiaToon+ayhhDZFlfN+id8tIiUfSkcHKoigTl5XIsafWEMlQRFRbN6uZ8f6VLflVDOuOTrCdEAvjjV4+5G988u9dgZvcfG1Oee9FfaoUJXz8lzhSmff2Syd4GZ4TJStF/v1hGhJ0JY5C6MEoQp1lCJNSvrRZmDL2eJRGqujCVqY/4uyizkEzen9cs+0Tuha298bN6s2eZFiYo3SHRhiFvblEv+vIqwqGhmfbltYV5Qukuf17pLn/f/IwP+JzIT69MKtoF0bbYbzWfw94qA37czWz042nD4JQ7cetWUeCUH9v5nb5d+bIYx2J3ZlvEbGPAt7UaM6iIKisS76dr/ibFid7yin76s/ysqJyassTYqYu4U+3KiMGYEGYZ6lmUFGY5Juoyvdb3RUPcI+H9HixultER47+y97G8h063JWJTjBMTxjC5soecFsJmR7BLKm8H4W/TEXUR04cp45KOf6Uwiz2jMsKMpCBMr9TrQ7oo5gnzsZia9fA6wjAq/igOdGfEe0FDxJMyh0q1fF1WD/gHUrXsB/JosbcjRzJ+3imLh1aj7WO41hVzgnh2dEd88BSFWUZOvO9Umz7gu8JopSjM4KrinVKZqA0PCPON2HtWRbxjpUT7Sykf7MfGjFdC/x+bm3CDLCMmlB2tvRYi07M77H3/+FfRdZiALPLHELeDwGEmgAB4mDuA20NgJRFAANzV2wiACIDxcY8AiACIAKjUQy8KIAAiAMbnTwRAr/YhAHpFGQEQAXAlfXPRVgjsiwACILEBAQgsGgEEQATAQIAVgH7IIQAiACIAIgC6mYEVgH6yZAWgY8IKQL8qkBWAXhRmBeCife5wIwgsaQIIgEu6e6gcBPqLAAIgAiACoBlbgM3YAuzndgRABEAEwF4CbAH2K2DZAswW4Pg8wRbg/vpWojUQONQEEAAPNWHKhwAE9hBAAEQARABEAAwxgACIABgnQA5A8bLACkBWAMYIIAAiACIA8mEFAQgcDAEEwIOhx7UQgMA9IjBXADz2rV+wzKq92cZzoz7L9o6kTzpdqxbcPZVZgAkjg1TB7x1aM9ibofzItM86Pln2WcLrIol1peOT589OiwzjwhgjXfP/0t8cFMnuVwm3iK4/b4PIgt/s+BvPtH1S7Grbt2N6y97cMaEDEmIbVqrks853mv6eXXFtUph7ZEVG/U1D3signfD3+N3OURcnpTt9kvVEynPPiI9uy/rzhA+MxaucEcnu1XXZilr95IdXSyTZT1bEecIUoLLRn5dc4ys4UvIFVmLmJqGk6aSPk4qInfaUj7FizFRiYFIY+WSEQYcY17k1fky0cz7Idk55twwRipYSpj+FMV8/1Y/S8EOYZVjSt62xyv/WiU2BYoqx8rCv2/BGnxR+lVhO9dutwixnu3dUGLjLj7FMw9+3LcwyLO3PU0YzTfPtN2E+kRbzXTFmNFH0XgSWnxVjverrJnx7rLJO9NdqYRYkhnG6rtolBGDBqSOurQ2pPbD+HjlhUtHuncbNxDzREGOsLQwKlGeJdYS5hXpWiAdIdtzHmHrOZMpinPipyJLKHUmYb9RX+b7IxOaAgjAyyYvnRE7Ea0K9iwh4CTHvdIVxTVnMi9MjnntTxKJ89irzlbzvtEJZzAGDvQ3JiveiTNX3V1e0tSrMwRqCZ0Wc18z7xnaFgUY66c8byvv3lg153+EzNf/uOVP1c6UyBmnG3oMSwixL1S2X9P2wUTjNZEVc54UJSHfOOJ4pj9snv/D8KPgxAblHnzKcDIFlTwABcNl3IQ2AwPIhgAD4f32FAOiCFgEQATAeFEkEQEMAFCYgCID+oS9USwRA9W4kxGgEQP88RgB0TBAAl8+3BjWFAATungACIBECAQgsGgEEQATAQIAVgH7IsQKQFYCsAGQFYHxmYAWgWJ3HCkAHhRWArACMBwUrABft04YbQWDZEUAAXHZdRoUhsHwJIAAiACIAmrEF2IwtwGwBjj/J2AIstiOzBdi98LAF2M8dCIAIgAiAy/fbiJpDYLEJIAAuNnHuB4EVTAABEAEQARABMMQAAiACIAJgL4E2OQDd2xE5AL2wRQ5Ake+QHIBu7LACcAV/bNF0COyHAAIgIQIBCCwagbkC4HHv+axlVu81AZnN+ize1aTPUJ6c9IYCwsfBOqtEMvJVPtv1UYPTPe0fTXgDhImqN/LYOjnouLXqvg3Jmk/411RJ3Ad8VvAT1m139yikvGnD7bPe8CKf9Fnwd4gk1rOz3mhF5Hu39HSv+0RnyLM8YfU2V9+Zmk+SPTHrk2kPp72RQ7nhr50VSbe7Fc89P+25Z2tihc2gMPcQphoqxvIzIm9fzNwh5fOLW7rlr8t67xlLiETx7ZLYKtvwbW0IY4j2qO+z9UO98R86sGGiPGFaMdb0sdOc8n2WnRF53OJVEeJHUiQ2Fz421s4IM4qsMGiYFONTJMDPqIT/4recMPfIT4mVKGJna8dPY1ZdK7jHjCYSq3xAddM+UNIpP/67TZ9QfvsWP4+lJr3TTGHcN0KEhHXV3CYS77favry6MLhJNETsiPIGYsnyi2LsZFrCZELcU/giWWvEF9jx05i1xT06ac+9rcxCcr7P6qrOCX9xq+qflRlx32LMHaXa8oFYGPLPmOm6L1/VrSPGU67j278hJcysqn58Dovn2PhM3MnETJn5tJRxSc13eHbEG5B1Y9xT4rq8eLaX0h7AcNqP2UrVc6+J55h4ZFlFxGxnQIx3ESdiSjUTRl0lEYutKT/fr13V+7DsNn2cNGu+X9vinjUxj9fV+5Po7NZq0X6RFzMp8oeuGfAP/LxQnifK3kTKxD3aIlbi74GdYR8nIwPiHWjaTzL5jAcwXPBjNi36v9HeGzzl8pj9vy+fG72zYQKyaJ9B3AgCS4IAAuCS6AYqAYGVQQABcFc/IwAiAMZHPAKgEDYRAK2BAOgejsotEwEQATAeKAiAygZYvGsiAPrVcwiAK+OjhFZCYIUSQABcoR1PsyFwOAggACIABgKsAGQFoFsowwpAVgCyAtA9llkB6Fd2sQLQv72xApAVgPGoYAXg4fjK4Z4QWB4EEACXRz9RSwj0BQEEQARABEBjC7AFBrEpDQEQARABEAEwRoAtwP7Vjy3AnglbgNkC3BcfSTQCAotEAAFwkUBzGwhAwAwBEAEQARABMMQAAqB/IpAD0DMhB6DIW0gOQBco5AAkB2A8KLrkAHTjhByAfIlBAAKBAAIgcQABCCwagbkC4IZ3XWapOSYg9Yxf/tFu+LxGaZEUvj0iDD9G/QtxKuETyhczvUuRikmfnLksEnY3hRlJVySeV3DbRV/fwiqfiHzdoHeGGM3NuiJ/seMIv3JkVpilzHjGKhd7bZNnkIkZDYxkfX3vU/AmIMpA5bbJEVffXMfD27HNGxTkdvoP4lj+/6jsvDBoyDZFnrmMj4mMcPxI5MS1IuF93Nsg4TFZUvxWmBD1EAYiJowHWkO+bvljvWvFSMEnGW8IV42tItl5VYyBtvrAqvp2dEVy92Ss0zLm+z/REW6Pbd//naaP64SoW2ZWGEqIvsgJI49sy1+brYit3GUvRVRHfZ3rwnymusFfm1/d22dri960ZWfdj/UtU8IooSbcSMZF7jg/xVhGXSvGRColpBjffGuJebwpTBuUsJPJ+1gpxRLj54R5hvCZslzJPyeUQUsj4xvRFu1PZMWkIIwhEuq3pG9XuytiR/R3ZcYbNCjziUJsHk+KsZnP+olnc8XPxQlh0JFNeJ4FMbevN79iaaTte7vY9b+N1Ybc86Mlnu01EU9byt7Qa0NpygslrV7jijUpP1GkxPvJsUn/zB4Rbd1W9224vSaMxVLifUS8VKwS7wVpEU/j4r4ZYYxxZM63Y0tltbvzCcUdPb/lhTi9s+nnotsrvv1tMXdMxfoh3KwqDISOXtVbj3DeqrR/Bk42vJHH2rSf8Fpd/0yZbPprt5VFLIrnUSpmXFTK+TGmtuzOCMM0sVje1g/7toputek5xmqVyph99SvPjPoPE5BF+wziRhBYEgQQAJdEN1AJCKwMAgiAu/oZARABMD7iEQARABEAvUCJAIgAGJ8rEQD9+yICIAJgPCoQAFfGdxWthMCBEEAAPBBqXAMBCBwQAQRABMBAgBWAfvggACIAIgAiAMZnBlYAsgIwHhN+rZcZAiACIALgAX2WcBEEViQBBMAV2e00GgKHhwACIAIgAqCxBdjM2ALsxS4EQARABMBeAmwBZgtwfEywBdi/v7MF+PB803BXCCxXAgiAy7XnqDcEliEBBEAEQARABMAQAwiACIDxRxg5AMkBGI8JBEAEQATAXgLkAFyGHz9UGQJLjAAC4BLrEKoDgX4mMFcAHH3Hlyy1at2e5rYSIrm/z2tu2VU+eXJXmDbkCv5jKi0SnjfiCdUbvh4pYZ7RVk6MeWFGkvdJ0Y8emXDdrJLnKyYj2Yq79ufjm9xvnWlhoFL2okNLGJKsPtInRd+Y6/2tOieZ9O6b58y31dqeyR3TPgfg1KR3t8huFm0QxgudnDDQEFUZ3ua3k+VEQvGsiKeO4NQs+PIa1luXljCPSHovDit6/xTLNjy7zoiPz+Z6X4/1m3yMHVmcdHHyq+m9Y3D3HycmfLLz5JS/b60kTDqKvi4qGX0yZsiRrvnrUsIAoD6bc21IimT/GWHIk58SRh6zYswKA5GEzwkvjWaEh5BV1vj7VtaJ7HbDfm6rxBLKF/I+eKaqfpy0b/fjSUxZlhGGHyZMOxLiq1PNWbkZMY8XPGMTc1FTjEVlrJQQ5aVjsVgQ/ZURph2Zkg+UVs3zbIhnR03M9zbozS2aad/X5Y6vYFOAF7Ytlqz7a/OCey7h25aPmV7lcn6iPHbYT0Zbm948Y7LpzWeKKd/+VsuP2SPFJHikeaON9eK3aseXt63ljSZ2tn0/3jbr57aEGLQztd62rRLGKKPCuOiPcuNufjoy4QfZluawO+93wqBjKvY8CReVst6gY7Uwsmhar5FJuPau2qi774jos6KInWlhoLEp29u2GWH4kU/5GNtS9/1VFoZUqYyPJxOuX4W0P29jxj/vqm0fs9mEF1l/W/HPxfXCGOV3s2scz65oRy7VOxZzog3luo9rZWZVjBn5hAqsLfiN4fmUf55sre+N/3J53L74xT+P6o8JSD9/edE2CHgCCIBEBQQgsGgEEAB3oUYARACMDzoEQARAQwD0H9NCyEUARACMBwoCoBcZEQARAOPjBAFw0T53uBEEljQBBMAl3T1UDgL9RQABEAEwEGAFoB/XCIAIgAiAfr0bKwD9XMEKQFYAxqOCFYCsAIzHBCsA++v7idZAYCEJIAAuJE3KggAE7pYAAiACIAKgGVuAzdgCzBbg+MOCLcB++zRbgP22YLYAswU4PnewBZgtwHx+QQAC8yeAADh/VpwJAQgcJAEEQARABEAEwBADCIAIgAiAvQTIAUgOwPiYIAcgOQDjMUEOwIP8EOFyCEDAEAAJAghAYNEIzBUA11/4ZUuNzDEBOdInik4O+I/kdav8v37PdLxbSCvl8yTVOz4peKrcmyg7XRNrLkQO+/qoTxydE4nCNxanHd9j82Put1nz25p2tAbdeTXRhq23+8Teqh3tAd+Q/Kg3FSjl/Et3OpbwvNX2fLPmmWREovSbt6x17cpu9+UN3OHLS9WE8UTJJztPiT4bHvM/FprCQCTtf2uLhP81YUZQjxlS1H3VLOu737rivJbPE2/J1Z5JUpg2JIVpQzZmABA6obbDm0UkxRjo+HziVl7lebZLfhznur7O9Tt74z096ZknhZFLtuIb69O6m6k8cXlhPJEVJiAq73y7JOLEN8u6foqx2moRjGu92JHP+d/umuw1X6jWRWxO+JsO3OWn9daAvzYt+lUZnqjxlEr6dpW894yZMtWpi3Es+lv4wFjHh6wlY/2TWCPmuoTYYiyMbNpZ/9ypC2OYcs6fV6n6eUz4SslnblcEckqM7WLFt6MkzFwSeV+/bqeXS12YmxQH/WqicttXpNwSRiZNH4t58Uhdk/aDZ70wYyjF6hvAtUVdZlp+Ap1oijqbZzJd9dd2ar1tGxr15lvH5z30tULXPyrpr91a85P7lqo3WmmLZ/Hqgn+nGEr55/ikeH+YbfjB44zQzCwtjJWUccXRA711GRDmIfWO5zsjDFoqwvCkJn4rZvw8WUj539akfP+0RHkJ83PFVmHSMiDusaXu8xm32769ydh9i8J4Rgx1m677/hrM+Em71vLjLiPGWHrOhD87O25f+MILorkIE5BF+wziRhBYEgQQAJdEN1AJCKwMAgiAu/oZARABMD7iEQARABEA/XMQAdAzQQD0UgkCIAJgfKQgAHqRHQFwZXxr0UoI7I8AAuD+CPF3CEBgwQggACIABgKsABRCBysAHRRWAJqxAtCPFVYAsgIwHhUIgAiACIC9BFgBuGCfLhQEgb4jgADYd11KgyCwdAkgACIAIgAaW4DNjC3AbAGOP6mabAF2D2+2AIs0A2wBdnHCFmC2AMeDAgFw6X4LUTMIHG4CCICHuwe4PwRWEAEEQARABEAEwBADCIAIgAiAvQTIAei3LJID0OfjJQcgOQDjcyc5AFfQhxRNhcACEEAAXACIFAEBCMyPwFwBcMM7/9XSq/eagKzfOOUKmU35xMZJlaA95fdPzra8MUh6p8+yXoiZAHREIvbKBr8K4bgjtrr6prtt99uRmZ3ut20NnwA8l/LLX26t+lx5O2cG/H2nRdLpIWHGIEwghgt+61Cj65O7r872JoafrPuE5SKXto1NlVx9c7eK/a4eneUmfUZ1kSfeOlmfE6ojMs8rg4IBn+/e0r751s76GKgLU5W4WUBTJB0XnhjWWOXbmhvwyb4Hcr5fW13f/krVx3+y5s8b3OLHblMYXlSFWUJjla9LOu1/m93m65K7tRdyakaYNkz5rY5iSjDR/ZbynjomPHosJYw8MlVh2qFCdtjXr7lemAON+I94FRcN/11riXpvedu2+vGf3eYDtrDDx1Ntje//lBh3WVGPtDBjEFOxDY/5AtU9GsIYpJLx9WuKSaUx6LnnE7191t4gYkeYoLS9z5LVhflUXZiv1AQnm/D37XR9PCXFHJP0w8RSWV/e4JQvb9D7QlhDjeOYcUtZOA/UREw0xG8qb6kYdlYUbR0RRkODgmdKzLvCZ8MqwvRoRpillBuepxp3yZjZVGu1nycHV/v5eUPC12616P9W1b/bNGLGI+GOs3kPPlfyoIbFoK00fEC1hUlLIenrXBSDVnSjbSr0mrJ1xbvDWMW/A6j5b7joDd5agueWqi8vKwwvhjP+3cZi80RgPJT2Ji0p8aKREnWZaPn5eKbp341mY2YeBcH3+AHvDjbe8BNUQxio1ITxSEe0NTvHBKRcHrcvfeH5UWBjAjK/bxjOgkC/EEAA7JeepB0QWAYEEAB3dRICIAJgfLgiACIAIgAiAMbnBQRAPy8gACIAxscJAqBwskYAXAZfRVQRAoeHAALg4eHOXSGwIgkgACIABgKsAPTDHwEQARABEAEQAbCXACsAWQEYHxOsAPSrR1kBuCI/qWg0BA6YAALgAaPjQghA4J4SQABEAEQANGMLcBCB2QLsVoGyBdg9UtgCzBbgeFCwApAVgKwA7CWAAHhPv0Y4HwIrmwAC4Mruf1oPgUUlgACIAIgAiAC4KwYQABEAewmQA9A/jtkCzBbgeFSQA5AcgPGYQABc1E8ZbgaBZU8AAXDZdyENgMDyITBXADz1Yx+1/OjonsoXh3zC5olUwTXujvqI+60mspGnJ72bR2mnMJWIpU6prvXb0BprhLnHqDf3eGBhs6vb8UlvCvCjis8o/tPxe7lruzN+q4fIdW2JIV+/B6y9y3Pq+PLGGz6JdX5OoujdhYzGTEC2VL2RyY5JYfhxl89Nk532H3VNkT0+Iww6RD51a4gE7WlheJKb9mnMB3b4FTaWFyYQXWH4UPTxVI+FXbPt4ym7xsf6QMYbRbQ7wtxEmIqUWz7Wm1X/W1oYGeRFovymiPfMoK/fEcN+DEzWfUfedovvoPyvYwKgMDHIihzuKWHSkxMGFQk/dVhKZLFPJHy/Zsq+/8Vp1hJmFPXjvAlKZsD/Vm/5yrQmfH+3x3rr1xnz1yVnfBsSyrRBGCpkZEz49kvzFfHoUSYglvLtqid9nUUo2owwWqmJ8Z6JYems95VL+ulPmu8IdNby4W+JceGgIWLWhJGJyIJqwgPFUkXPqSBWiubEnFoRPk21ViyedghzIzHHtMXYSYnyS21fXiEjVjGK+uYEO+GrZU0xF5fFssByw9elPe5P7M768dkY7p1o2sJAJlvw7RoRHbsqZrwSIjPvb2kpMQdWUr4NFVGXjnhmZTq+frm2mO/mGZ/CZ8VsVe/7TTbjR0+z7Cftthhk9Yzor7x/f6rN+oHcEteKx4Ilc768hGCcEiYdCZFTTz2jWw0/WBK13sDICHOX4QE/sGdr/nnajpUV4imV8nHdaYr5qbA38GqVMbvy8mdEEyUmIMvnO4qaQmAhCCAALgRFyoAABOZFAAFwFyYEQATA+IBBAPRTCAKgGQKgFywQAP1YQQD0TBAAEQDjUYEAiAA4r48VToJAnxNAAOzzDqZ5EFhKBBAAEQADAVYAsgKQFYCsAIw/m1gB6J/WrAD0TFgB6IU9VgCKreJiIT8CIALgUvomoi4QOFwEEAAPF3nuC4EVSAABEAEQAdCMLcBmCIAIgAiAvQTYAuxfitgCzBbgeFSwBdjvM2cL8Ar8oKLJEDgIAgiABwGPSyEAgXtGAAEQARABEAEwxAACIAIgAiAC4FwC5AD071PkACQHYDwqyAF4z747OBsCEPAEEACJCghAYNEIzBUAH/rJf7D8mr0mIANDFVePscSg++3WGZ8Bvjvtk0znxH6yrMgK3Y4l8m8d6bNzrxrybhQJkTh7bcZn8S4lfGLnm2fXuHZt2erblW4IgwqRyD8/6jPUH1n0dckmRYLurk8U3RS/zcZcOqa2+r7JT/r6pmt+BUN2ViSeHxAJq+fnxWHJkYbjmRWJ8jMT/l/OizuE8cKAMIEQydNVYvxq7Nrqas+8OOwrpxKMz1REAnCRYDwjzE3aIil8WiTKT+V8WzMF/9GVFsnYV5d8jN005uO4c5tP2p67tbfLujFzgvBXEf3WHvb1Taf9mSmRjF8ZLyQFE+ExYM0hZSDk65Ic8uySgrFMFD/ma5iOefm0mmKrm4j1pJj/EoJoToxPkSffMiIBfnfIj52CGNtpYaAhwthmc74fp9Z47i3vW2Sd2HTUXeU5dYUZRWpIGLSUfT8kZ3xbc9vFo9N3v5mY2kTOfhNTuyVEW4WnhLXEPRqizzpxo5kJYbyQ8v2QHPJtzZf8tcPCkKYg+j8t4qQjjDEawsiiJgwkamIMNITRSNu/ZlhXmYVkexkkhQlKVpjKDIt+GBbz02Ddsyvu9A1rifeMWslXpq3mQBGL2aofT8KPx9ItMc+I+7Zi406VlRRze1Owa4n+rwqeTcFOGaN0RXlJ0dcp1f9irhDDyRLzfH5YbEppCXMf4Tti6v3J8iK3o6hHRjwrWnOMe6r17fYfP35yNLAxAVm0zyBuBIElQQABcEl0A5WAwMoggAC4q58RABEA4yMeAVA42YppEQEQARAB0A8MBEDPBAHQM0EAFA7nCIAIgCvjE4xWQmAPAQRAggECEFg0AgiACICBACsAWQHICkC/iifBCkD3LGIFoH88swLQM2EFoFgFzQpAFyisANyLhBWAi/bpw40gsOQIIAAuuS6hQhDQBH7605/at771Lbvyyivtl7/8pW3fvt0ymYwdccQRdvrpp9vznvc8O+OMM+aNL5T1sY99zK655hobGxuztWvX2sknn2wvfOEL7bGPfey8y7knJyIAIgAiAJqxBdgMARABMP7sYAuwf5qyBdgLW2wBZgtwfKSwBdjPHWwBvidfJ5wLgZVFAAFwZfU3rV2mBM4880y74oor9lv78847zz7xiU9YNutz4u2+uNvt2ote9KJI/NvXEUTAj3zkI5ZIqCxc+63GPk9AAEQARABEAAwxgACIAIgA2EuAHID+1YEcgH7LKjkA5+eMTA5Az4kcgAf+/cKVEOgnAgiA/dSbtKVvCRx//PF28803R6v9zjnnnGil373udS9rt9t21VVX2Xvf+1678847o/Y/85nPtM9//vP7ZHHRRRfZ29/+9ujvD37wg+2CCy6w4447Lir/Xe96l11//fXR38J5b33rWxeU6VwB8IzP/n2PCYhKinxrba9JyO6KlGcKrk75eGJzM0spT4kh/0KUX9O7HTOd8dmU1w56s4OUyP48Vc+7um2b9lnca1WfZD6REeYGwnghIbJs54STwfrirKtLUiQUn6p7nhOCcWq6t85Zkew9KZhnlBmH+K0jHBoaA74vMim/r6nY8MnTB6oiuf2kF8bTZS/EdL33hnVFEviWSGReXdVb5+aw2IdV8PWtNTyATtMD7YrfCtv9eQ1hlpESCkMx7es3lPOmGoSDAwAAIABJREFUKm1hyFIWda7s8IwTW3390tt7C2yIpOvttMh3NyeJ+e4ATxSE+YzoGxP/LtIu+b5Qpj/lqr+4LZwsEiKO5bjY6is4sFWYisz0DuOaaH8n47Pdt2d8+ema51Sc8WOsMOtjojso4nNQ9KsI96QyxhDmI1VhAlIeFqKQMJ9oxLxn2n5as64wt2gVheGPiPX8lK9Hyg8T66pk/FOiX4W5hQh364rYFh5N1hHGGHUxH7djdc7sFM8dMXbSa3zs5Av+2gFhPpPxHlrWFc8A4RVidWH4UBPlNaZ8/RqiwKbglBCGF+nYkMp0hZmVmLNK/hXARoRBhwhrGxKmJRlRt8oq39aymBdsTLy+zXgADWHAlRGx3S4Jc5j4LcQYVuO/LWJTdLWVxb9B10TOvrIwxmiqf78WYzslHm45ZawkzkuKeaxW8o1rxd4p0sKMRrxixL1DItp5YWaXj5nWhPOGZ/1klM7srVu5ud2+8BtMQBb0I4fCILBMCCAALpOOoporm8ATnvAEe85znmNPfepTLZXyrwnj4+P20Ic+1H7zm99EoMJqQbUd+KabbrL73e9+1mq17CEPeUh0XqGw90upUqlYWG143XXXWTqdtl/96leROLhQBwLgLpIIgD6iEAARAONRgQBolkQAdJNFAwHQMUEARAB0QYEA6F80EAD3MEEAXKgvG8qBwPIjgAC4/PqMGkNAErj88svtiU98YvS3l73sZfb+97/fnfeXf/mX9uEPfzj6PawcPPXUU905V199tZ122mnR7y996Uvtgx/84IIRRwBEAAwE1KpABEAEQARAVgDGY4AVgF7YYgWgfyVhBaB4TUMARACMEWAF4IJ9zlAQBJY1AQTAZd19VB4CewnMzs7a4OBg9MPZZ59tQRCce4Tcf0cddVS0Vfi+972v3XjjjfvEF/7+61//2jZt2mS33377guUCRABEAEQANDO2ABtbgNkCHH8AsQVY6BVsAXZQ2ALMFmD3DwVsAXbjhC3AfCFCAAL7IoAASGxAoE8I7Ny500ZHd+XMCysB//3f/72nZbfccsue7bznn39+ZPKxryP8fbdJSLju2GOPXRBKCIAIgAiACIAhBhAAEQARAHsJkAPQv2aQA1AYXpAD0AUKOQC9KIwAuCCfLRQCgb4kgADYl91Ko1YigS9/+cv2lKc8JWr6a1/72sjQY+7x9a9/3UIuwXD83d/9nb3iFa/YJ6bw91e96lXR38N1j3/84xcE6VwB8P6f/Ixl16zZU+5UxjsvNLZ7Aw2VULojErmnh3zm+UGRLD+f6k2Kncn660pFnxF6rO7rtmPrrhWYc4+kSE5eG/VJ+49eu8Nd2xGGH1Miu33HfNLpgjB3qDW96FAe89nyM1O+vGzMVCMjEvtnRYL1lGhDMikMOvI+YXVKtCEtzD2SylBhzLchL7KCJ4QxREuYxbSHfP1aeWFSMdLbtxNJz7whkuwrcw/VD62i4FT2bU2t8zGbEe1PT/rKiGFiSZHc30Qi8+QOkYtLGCM0Y79VxRgW+e8t2RJbIkt+esqIGGsKI4PkBs9pXSGWeM/MxoWZT1OZ+bREXwg3hpIwRikKQ4Z2zECgJUyKOsLcw+qeU3wMB2qFWR/DhUnPpDXq3Q1qa8QYE21IiLmiNuzrJ3wxrC0S+dcHlSjSGwMtYcZg4gZJZb4kDAqyTWEWoios2ho33ohqKkwWLCEaK4x7Umosivo1imKsxJqRF/0/IKoxJN4AxFRkSfMXKw8Y/wQ0q4kfG8J8ZVYYNAi/A6uJOUBxV4YXxaneCSopjDzyYh4vDfngWS1icY0w5BoU4zgr4qQlTCCmhPnGlHge14TTRkeYaiRErrzmsG9bMpaSWjzuTTTVOsI8oyxMeqbF87lREc7IyuBHGDI1Rf5QFSYlsX06U/UPsqYwgqmJvoibnnREPIlXTysI85lBMU6UqYzwIrHsnLrN1rfbP//0z6KRvXnz5mjHDwcEILAyCCAArox+ppV9TqDT6UR5+6655pqopddee21k8jH3CCv+XvziF0c/ffGLX7SnPe1p+6TypS99KXIbDke4LqwInM8RBL67O7Zs2WInn3xydAoCYC8pBEAEwPjYQQD0swkCoB8nCIBmlVUIgPHRggAoVCwhqCEAzs8JGwEQAXA+3wGcAwEILH0CCIBLv4+oIQT2S+C9732vveY1r4nOe/KTn2z/9m//5q5597vfbRdccEH0+ze/+U177GMfu89yw993r/p7z3veY69+9av3W4dwQkKtYNjHlQiACIBzCbRZAehGCgIgAiArAH0MsAJQLNFjBaALFFYA+rHDCkBhtCR0YlYAzuuVn5MgAIFlSgABcJl2HNWGwG4CP/zhD+2Rj3yktVotW7dunf385z+39evXO0Bvectb7OKLL45+/973vmcPf/jD9wnx+9//vj3iEY+I/h6u++u//ut5AUcAZAtwPFDYAswW4AZbgN38yRZgtgC7oGALsEPCFmD/6sUWYLYAx6OCLcDz+kThJAhA4P8IIAASChBYxgRuuOEGO+OMM2xiYsJyuZx9+9vftjPPPFO2aDFWALIFGAHw/2fvzYMtzepqwd83nvnc+WZWZlZBFa+wCtpWXgMBhoE+fc8AQ4yw1bD7RT+0A0EFO5xCeDRia4jI4FNeK2JjBOKbtJlsuhFt+zk0oUG1EKChwVwFRVVOdz7z9A0d5+SrzPvttbIy07x58557V/0FJ79h77V/+7e/ve5vryUCUBqAbgyIAETtLBGAIgBFABYRkAYg0e2UBiCSwtIABExEAM7xRk5NFwJ3AQERgHcBdL1SCBwEAl/5ylfsm7/5m+3ChQsWBMFM1296/Pd6/x2GBuCN+rXfBOSB9/xHi1bWrt7S7qOpRomInU8W8a+/i6e68OqlYAS/VTNUxe5PiuYjGbFiTImY9GYP25vtsGovbO/66i60LSTuJv0cFbCDEMupPEeIe/rw7SFp3xYarYRt3HREPXImxqlO8YhpQ2OXbGDIo/IG9qFeR0eJYReBTy8gxhWE0xqXEZQqER7P1rHNkxVsdLKIscMEwEcLxes6MZI/CRmvcBv7yswTEmIKkFYQz8VmD2IsG5J3XEKF+vplYu6whbM7IAYCKRnvITEjGDqv7RKTlbSP7Qg7bGywbXmTEEwLeG/5DOLUKGEsbneruBF9HOdY/TK2xSei8CVMT1bCNGa5k49y5qgwwL6GbA6TPEa08626RwxvqiSOiUB/QDbnkzK2b3jFsL7wn0ecB3xiXDMhpgoDZwecEzOKKCW5E1OiGWlvTBxpmEFDRkxq2iT+R8TIgRntxMTwIiJGSAlx7kiJOY5rNLDQxjnhpLDZGC3gNDFmWpAQU4R+Cd8xGWNMjIipUI/8xkxAegGpCiNxEjI8yZxqbBVjxasRoy1iAlIjeWeNXLdE2tvsICbMoMKIkceA5JMtMj/bxBhkQNYjj1yX1kn7HFhC0o4hmWMDYrQzJGMzJPNuQto2rhDzKfKNQg7Pk0xhFqMPlLHvohHJFSTNmLvmZyQ2K2ROoEWbWY3k8UXybdMgnfX3aaX2hhv2+x+/smeQCciNdi/6dyFwvBAQAXi8xlO9OSEITEm/aeXfY489NtPde9/73meveMUrnrb3H/3oR+3lL3/57Jqj4AIsArA4XCIARQACIUI2piIARQBCohcBaCIAcbcvAhA/iUQAIiYiABETEYAnZDOlbgqBE4qACMATOvDq9vwisLW1NTvm+9nPfnbWid/8zd+01772tTfs0JQsfNaznjW7burqO60IvN5/039/z3veM/vn6X3333//DZ9/MxeoAvAKSqoAVAWgO19UAYgxoQpAUwWgKgBhaVUFIH5tqAIQMVEFIHE3Jh+qrCpQBODNfNHrGiEgBOYVARGA8zpyaveJRKDVas3MOz796U/P+v/Wt77VXv/6198UFnme27lz52ZHhh966CH73Oc+d937Hn74Yfv85z9vZ8+enR0NuBVzj6drjAhAEYBTBHQEGGeJCEARgDoCTBw6RQCKAHQQ0BFgnCc6AqwjwG6i0BHgm9oa6SIhcCIREAF4IoddnZ5HBPr9vn3Hd3yH/fVf//Ws+W984xvtzW9+8y115TWveY29+93vnt3ziU98wl70ohfB/Y888oi9+MUvnv0+vf5d73rXLb1DBGARgXEkDUA3JkQAigCUBiDGgAhAEYBuVEgDEOeJCEARgG5USAMQY0IE4IFtXfQgIXDsEBABeOyGVB06jgiMx+OZft+f/umfzrr3Ez/xE/bOd77zlrv6xS9+0Z773OdakiT2/Oc/3z7+8Y9bpXJNZngwGNhLXvIS+9SnPmVhGM6OGT/44IO3/J7r3bC/AvD0r33QguX1q5fmASpRB0SeOatjpdD6ahteueSjonQyQfXk3aEj7h/h8zMikj0mP+bEAOF0rQVtGyWogL07QLnnjPR/rY5OAamHz3t8cxXeW9rC65jYtz8hOmsOTGGIStyVDgJVInguVnFsQmLQknSxvcPH0IyhsoV//S8zkwXmbbKI0Zreg+J71WV8YMtDdfeuY/jQC7EP2Qhx8kl70yrGYlgqugxPW3+qjjGW5ojJpR3sbHkb27L0VfytsoM4+dgUI6+1MTEj6DeKg9HHYbURdt/yITFtWcYLSyton1mu4rh6JfytVML4fHxrGQCInsTxr+0QUx0i+M9MQCrEkMezIk7MZCIjZ9gCIqgfkASVEtOCiNxrxLRiRMwtMibaH2MDvdPkJSOcK4FjPjQdhITMqUlUvDcPyTuJyUiyTIyLiPZmmYjsR6Q6cUSMF3ZrGJ/DjBiStIjRRBfbVxrhbwF5b46m9BY5rhJN8vxFYrxRG2PyDMj8HxETrRGJu0kb+zogz+sw0woSOkzHLiV/fAuJ0QKBziqOIYcTXrNcEBOHhtI6jusKcfLY58VwNa/UielZRNrrkRw4JDG7R7DbJQYSA/KbkXt9YtxhznhPyLcSCScbsHEl63NC+j8p44VZmcwn5qBC3mtj7JhPzHyMYJyS3J6TezMHY5/k7MYe+cMgYfEiYm7S3CPfQGS8gpVrAPQHG/aH//f3zl4qE5AD2+boQUJgLhAQATgXw6RGnnQEvvd7v9c+/OEPz2CYHgGekn9Pdyw3jmN79rOfTWF7wxveMDs6PP3vec973uwI8VQb8NFHH7W3ve1t9pnPfGb2b9Pr3vKWtxwo9CIAr8ApAlAEoDuxRABiqhEBaCYCEDe2IgBFALrZQgQg5k8RgIRRFAF4NVBEAB7o9kYPEwJzhYAIwLkaLjX2pCJwqxp8z3jGM+yrX/0qhSvLMnvVq15l733ve68L5ytf+cqZCYhP/+T7jx8FEYAiAKcIqAJQFYCqAMQ8qgpAVQC6UVFRBSBMlIEqAAETVQCqAtANirIqAP/xmxXdKQSOOQIiAI/5AKt7xwOBgyQAn0LkYx/72Izk++QnP2lTZ+HV1VV7wQteMHMIftnLXnZHgBMBKAJQBKCZjgCbiQAUAQgI6AgwQCICEOeJCECsABUBKAJQBOAd2bbooULgWCIgAvBYDqs6JQSOJgL7CcCzv/iHFi7t0wA8QwSAiNZJqYJCLIGjkzXtfdnD6wZj1OwaDB0FILzEMvKX1GYdyxDOVFHEpeKhFtnmCEXRRglWhe31UWQoTbExowGqGMW7RFNxhEdictK3pIwbjLRRPDsTEU2smGhTnaqjAtDpGHUMW0QDMR8QXZsW0f/ZwkGrJnjWJ/MRk7xG5oqjTze9otTA+ByE+LxLg+IDJyR40hj7EJbx+dUAY2e1hHqX1WCAXIqhsNPntu6B66pfLsFvy+cRk5hogHlEd8nI/EmIvl+SF7HrLZBxXUBhxIxo0a1We9iHMv42jjCe/qG/Bvd2EuxEdAHxJGFsJRwKK6fYN5LGrNwjem9OvKcBORJLRMzCPr6TyOnZ6BSOtU+07RISs71F0haibTWq4Ob83tVtePGY5OcS0dhqeWW4t2/FOM6ZyBYBICNzPSbakxWiz2ZE3zRv4pz1KhgUPaJttruLySgi+mSVISbtUorA54vYkVq12L64hXHdwBRj6x6ud9UEcxb5ydoDnE8757Gvgxzbm5QRz/YY25x4eO+zVzYxL4Q4Ft0Jrsfbg6KA4oTkhArJf1+3ugvvjHOcoHWy3i+k2IdxH/PzkIj2jYm+ZYdo4O0RkVY/wm+ldhu/PQLyjigu3hvEZLzIO/MQryuFRGc3xf4zreU6WSsXI/z22EuwX0zPuUHipE3ubU/I+JBYWXTcfMo+jvWlXVSGrBGN2kYJseuOsB0rFcTzv6puXI3PVnfH3va7PzX7/9IAPJp7JrVKCNwpBEQA3ilk9VwhIAQAARGAVyARASgC0J0cIgBFAIoARKJIBCAxBhEBCN8WIgAxf4oAFAHoThQRgNqYCQEhMEVABKDiQAgIgUNDQASgCMApAqoAVAWgKgAx7YoAFAHoRoUqAFUB6MaEKgAxd6oCUBWAh7aR0YuEwDFAQATgMRhEdUEIzAsCIgBFAIoANNMRYDMRgCIAXQR0BFhHgN2Y0BFgHQF2Y0JHgHUEeF72PGqnEDiqCIgAPKojo3YJgWOIgAhAEYAiAEUATmNABKAIQBGARQSkASgNQJgT0gCERCkCUATgMdweqUtC4FAREAF4qHDrZULgZCOwnwC89xc/XDABadyHunBlIqieov63dRPyV/IJXjhqoXi87+iY56soiF2ro5jyvXUi9u3jvZGHZhQlw+su9hchOL66uYIB08Z+Eb1qC9EDwdIKCsVnBM+UmAokC44JyAQ3a8x441ypA33IyEu3WijE7hFX0FqOH78PGRoKNMc4ZkPy3t0ARcEvpE3EPb457MaOqQzxbLHSCgrRL5dQr+hU0IJ2DCZoPDIggvJP9DCeOjtYYdS4hBpj1Q4eUa4SU50SEYX3SeyMY2zzOCq+d7iA8RQQsfOcmJFU3ElsZhUiRj/wsa+PdRcA42SA7fWJQYcR86GIGH7UcGitucuMHDDsQMefGFT45PkeMUtJiblPgtPOEjaGJYyJ7jLOif4a5rtyGefieoR5oT3EuRiR/NQzbGDiGPLkxCgiJOYmRoymwhD7GpNYP9VEt4wgxr5uEyOgi32ciz1ivEB8a4ykIvobgQ58S8oJBtSZANfiUxMMMp+sMbstdPxp7+K6O7yEa/YoJAZfxMgg8zHGPGKq8PV1dDOqe2hc8oXevbhG5UX0ShExlYowTzx7GdeizLD/4Rj7v0h80NYyjKfNLk7aDjNGiXCtZGlssYTjfb6HhhRpgjlr0TFb6maYE8ZkbOoRvtMn3081H81nLoyXYbyGKTECC/DeUzEatRHYbYEk1YkTE9NGbCa4zg7JB9Sa80GWG8ZOL8E4Ye8ckXsTYnBUI8Yo94bXvilanV17x3tfP8NSJiAne2+m3p88BEQAnrwxV4+FwF1DQATgFehFAOLWVASgCEA3MYkANBMBiMuVCMCb+vsE8QE3EYAiACF4RADifBIBeNe2CXqxEBACh4CACMBDAFmvEAJC4AoCIgBFAE4RUAWgKgBVAagKQHddVAUgqYDEgipVAKoCED4pVQGoCkA3KFQBqJ2XEBAC10NABKBiQwgIgUNDQASgCEARgKYjwGYmAlAEoAjAIgI6AqwjwO6c0BFgHQF2Y0JHgA9ty6IXCYFji4AIwGM7tOqYEDh6CIgAFAEoAlAE4DQGRACKABQBKAJwPwLSAMRvNhGAIgBFAB69vYxaJATmHQERgPM+gmq/EJgjBPYTgM/85Q9YtLR+tfWVNfzQy2sovD12xN6nDxjmKKjc7xLDjzGep0obRRH0Z5xCEe/FMuqzPVi+DMhfTFEQOibmCV/unsJ7N/DeygXUyou6KFCfB9ivgJglJMQEgBl+jIkxwGS1KJVN9KWNmRHExBTB90l7O9hXr4rjv1LFsVhMUCg9JwL1rR4Kr+fkiN1uH4XsA2K0ESfEGKRZjCe/jlUtK3VsXJUAmpDnD4YY69tdPDrYa2Ff/T6STpUd7ENpiDFWJkrpUczMEgig6Hdg49Xi2JaXcf77OY7/3h7O61KOjRsSs5TuBI+JDXPEZEj65XXwOuLlYzGe7rYSsa1skuc1dxDPtFHEM4vwmgh17S0pkVxHXCEmGDo2RoitS/yIuqfRQMJvoPHAmTKa2Wz3MCiGIxwfz0Pcc5LvzQn30h7e5+HjzSN9DYgJSL2G8XmmgiYglyf4wK+1MZ+MB2QwcGobabIFOLXNJyYtpSHGgO/ETy3C3LmSYBAPd9B4ZbyBDSmPMCbyLexr3sLxGRCziEmIOSAh12XEpOVMHY1mFlieTbEfqaOguDPARTGsYV+/7tQWrO2DDGO9REzKqgPEpEbW8ZqRfIcwWRBhzO4wswxyXXdCMCGOVuWwGD/9BMe6S97p3jcF7XSJJDIyrn/fPgMYV0LMO8SPxGIfr6uGiFNMjKVaE7KQGcmzxGxsLSqu+TExkNpLME+w75M98tEWBPid0SKJvLHPaKXf27KP/cH/OMNSJiBztJFSU4XAASAgAvAAQNQjhIAQuDkERABewUkEoAhAd8aIABQBKAJQBKCbF0QAigB0Y0IEoAhANyZEAN7cHkRXCQEhcAUBEYCKBCEgBA4NARGAIgCnCKgCUBWAqgDEah8RgCIARQAWEVAFIFb8igAUASgC8NC2LXqREDiWCIgAPJbDqk4JgaOJgAhAEYAiAM10BNh0BFhHgGGR0hFgXLdVAagKQFUAFhHQEWA8jq8KwKO551GrhMBRRUAE4FEdGbVLCBxDBEQAigAUASgCcBoDqgBUBaC7xIkAFAHoIqAKQFUAujEhAlAE4DHcHqlLQuBQERABeKhw62VC4GQjsJ8AfOCX318wAckX8C/94SIKNm+NUCg5IwYNPjH8yBbxHUuLxeOYp2so7L5c7sLA+T5+mG8mTbjuch9/6zzZgOsqmxgbJWJkUd1B4fHxIqrHe0QUPCWC9wn5rXeajMVSUex7xETsN7FehWhzW0D8FAJS6lJfQ8OPtTKCkhGzjAtbiPuYVF2lXWxMQMTYI6IoHhDRfn+9GLMrDewD8UCxzgBF14e7RO1/QETHUcffmFC+kevCLj4vxiZbfRdxKpP+l4m3QXoGY9ZzTGUGPjN7wDmW9bG9HjEeSLZxk0SmhE3wFUb8KWxSRpH1nIn2n0dQyChaTIxGmug/ZFZxTEAIvv4IOzGqIU4JmWMThMlIyrLOKRzDpEzAKyHKgeG9aR8bE7cQu3KPmB4xMyPHoyEiRjaZg+U04+ZNfH6JzRPsguUZ3jucIO5kOpmReZeTXBwTE4gclw/zCSZGjEHCZtFAopTgeGXEoCPfwrGpXMDfWHsDlPe0rIU4Dcia3SVGUGOSi7MQB6hE5mwpIteRe085eXt7giYga3Uc2ZUydrZPzCMGbXxehfS/TBLUagXXwEaAv3VStkBhHmMmapf6GGTEy8iWnMViTJJMmpEFn3wKL5EPHmbkcWGAbauXiFtwH007ghD7v1ZGs5hegomRGaOcLpFvQ2IMsh4Vr1sO0WhnO8F+9XJsx4UhMVAiGKfEtKW0z0Bn2Nu0v/zgv5qNhExATvbeTL0/eQiIADx5Y64eC4G7hoAIwCvQiwDEEBQBKALQjYqc7DhFAOLcEQFolooAJH9BQoJSBKAIQDdQRACKABQBeNe2RXqxELgrCIgAvCuw66VC4GQiIAJQBOAUAVUA4vxXBaAqAFUBqApANzOoAhArFFUBqApAd56oAhDXT1UAnsx9lnotBG4GARGAN4OSrhECQuBAEBABKAJQBKCZjgCb6QgwVmeJABQBKAKwiICOAGOe0BFgHQGGKk4dAT6QPYoeIgROCgIiAE/KSKufQuAIICACUASgCEARgNMYEAEoAhDILmkAwiqtCkBVALpBIQJQBKAIwCOwoVEThMAcIyACcI4HT00XAvOGwH4C8L/5tX9npeXVq13o1vEIwwi1jm1nUoFuZ0Midk1E9mtNFIperxXFmXsZii4/f/kr8M6Bh9f91eY/gesme3hdaYcYKrSQEIiJGH21TUTxYxRUZ2VmwxViqrBUFIWfdqC8hDhlleJGbG+ImnWjizg2ITNtqGI7/CZqM923sgd4niqhScseiYnHtpfg3vEeOijkPYIdcYvwY2xfRAwPGrUinisVFPveG6CRzbBPnP02sb0ZMSNIjGh9RWigM24TsxhCukTYZKuTmI1xuK2EXbPoLLYlahRxao0xntIREY8n5g7BZbzOI2Yp4zqCNyGvGBDzhKyC4vHJFo5Z8wnMyhVi5OATk46AGTk4IeCRsWZC+cSew4ZNYrzQQEwGdWIqQn7LRxhPGXE8CRA6i8n4VEhuq+3gZMzLOGiJiyeZ1pMG/jhZx+dX9vD5McsTzNyiS7Bjc9bD65I6ti9g4036EUSkw8RUJC8VGxNvEBMkYkgVYtq1xgbJOzkxKSLGNdkO3kv8XoykIhuRvo6ImQvxYrCcGddUsC3lBWddJIYaETGfKhFjoDIxhqmQdTEKyLoY4m9RiRgSkTVr3EXg0xrJYySBpAmRZBiSZOmsgZWIGK2VMf8Px2gCVIrxur0RJpQJGdjFJh6LvtzGD0iftG+likYe/QSxGxCDk1qI309kJtq6Y5YSkD60Jrh4hj7iOSCx6Ble96zKBixGl8eLV3/rd7ftD//Tq2f/XxqA87abUnuFwO0hIALw9vDT3UJACNwCAiIAr4AlAlAEoDttRACKABQBiHlBBCD5o40IQPjqEAGIH2IiAEUAulEhAvAWNiy6VAgcYwREAB7jwVXXhMBRQ0AEoAjAKQKeKgBhaooAFAEoAlAEoJsYVAGIXzGqAFQFoBsVqgBUBeBR2++oPULgKCMgAvAoj47aJgSOGQIiAEUAigA00xFgMx0BJsc9dQQYVjxVAKoC0A0KEYAiAEUAFhHQEeBjtllSd4TAHUZABOAdBliPFwJC4BoCIgBFAIoAFAEMZNiXAAAgAElEQVQ4jQERgCIA3bVRGoDSAHRjQhqA0gB0Y0IagETLVxqA2moJASFwCwiIALwFsHSpEBACt4fAfgLwn/3Ge6yysnL1gY9H6Oy2ZahingS4SfIcYfPpQxcqqNBeJ8YIZUeh/sIA23F2Ac0o9lJ0QNi4eE1g+amO+cTIw0fdaCt1sV9EE9vKRHg+J6YFVkHl+aVlFMqOYmzMRoZi1ANHs7tLTCv8PfJhSsTJPSa6vo4C4P98/UsQcDkRmf/s8BRc97VWE34b97B9+YhssHyssFgiZh65j2NWckTRd4eoQ5T1UQA9JALrUR/nW0pE4Y0IhXsJMbzYwvdG28RAI0NM6jvYFm8Zf4sW8N6ldexIo1EM5IvDOo4XMdDxO/jOYJfkhBH+lhADgAkxCxohTDYhgv8+MYYo7xLs9ogLRANxH68R+XhHiz4j7TXigeQTYf/haYzrkAn0k/53QmIoQIAi3kgWEhOEICE4beHY1gieOTOBWCxilxFMEiI9kC9ggioR853KNrbXI7mdTDtLSb4fYLhbSvqVEyMPn3gxWI3kMZJ7A4dRiy5jzPnEoMMf43W1PWYCgmNIprYlZL3rEgOZMcFuTNa7CVlTAmLIYcSQhHgvWOKYigRkCldIfq6SfpVw2bWQGAMlCyTHkpwVErOQmK0fpC0JmRc5MemZkBwQkH6kTnz6dTKffGJw1sKBmJC1bUzaOyaYNFawcT3SiXoJJ21vgm3pDRGAhHx75MRtKSTBcqZeNBpJUjSQylKc2MyMxfcxGCsBfj/dV8WEemm4zwSkt2Uf/YNXzoJOJiC3t7fR3UJg3hAQAThvI6b2CoE5RkAE4JXBEwFIXBdFAMLMFgGImyQRgGTHKQLQRiIAMX+IAMSvJRGA+Ec1EYCAiQjAOd5oqOlCQAjcEAERgDeESBcIASFwUAiIABQBOEVAFYCqAFQFoCoA3XWlrgpAJGdUAQiYqAKQVNSpAhBJPFUAAiaqADyo3YyeIwTmGwERgPM9fmq9EJgrBEQAigAUAWimI8BmIgBFAIoALCKgI8D4OaMjwOSYtY4AQ6DoCLCOAM/VZkiNFQJ3GQERgHd5APR6IXCSEBABKAJQBKAIwGkMiAAUASgCUATgfgSkAYhfg540ALECVBqAgIk0AE/STkp9FQK3j4AIwNvHUE8QAkLgJhHYTwB+4zv+g5WW167eeYkYT0xWUOy4towuGLkRgXIP1cPXwqIQ8/Tlda/4vM0U1dk3EzTF2B2gCUi+Q452EqMAIyLuERGU9yJy1Af/0GteDUV8vJSIu3v4vIAIVjOjlX5eFBobEy2ljChi58SMICSaZY0q9uG/XtqAyIqI4cXnB9fMZJ66YaOP45MSc4tFIrTXcGJi+sz7S5vQlq0cDWM2sqL5yOYuKrvHQxybkIwrCWvzYjbWOK4pMcGwbRy0sINtySIUDwuJGH8c4/wMiUlPuUFEppypMumh3l+4ixMlICYgOcEuI8LzGTlOmeNrjfhTmPWJQQcxkDEy70pDHJ+8js8b3oPXZaXidR7JHRkxgPCIoP79K9sQw7GH4A3JGLZjzG1fu7SK85OYRXgEOta+SpvMCyPmG2RsvUoxZpnZQVjDIB47eW3WIWI+UyJ5PCQ5OyM5O4lwnmQxMUuo4FhEAV43JqYF+YgYHLVxvvuuMQQxsjDSV2Z4QpYAI821sIr9Gmyj48eggX2dEOMFZoSTMYOGDCcL8fKwcR1jLHGNxUb4rBpJimVi7pGRvpIlxtI6tq5aR+yqpAIwIutsOsQRyocYJwy7hMwxI2Y+njNkcRPnWNUj8d/DfJIRjEfE8CUl82mFGJyxvFMOsH0XiGEYi7uwhGPRZ3Oxg32LnW+0kIxXiXyL5ROyBjrGddOUlZL4jyPsa7xvgg56W/b/fOAVs5QnE5Cb3MToMiFwTBAQAXhMBlLdEALzgIAIwP8ySiIAIVxFAJIZzIgTEYAAlAhAQpKJAIQ4EQFoJgIQ86wIQOKYLgIQ84cIwHnYZqiNQkAI3AQCIgBvAiRdIgSEwMEgIAJQBOAUAVUAqgLQVAEISVUVgKoAdINCFYCkQjkmlbKqAIR8ogpA/G5VBeC1kk1VAB7MvkZPEQLziIAIwHkcNbVZCMwpAiIARQCKADTTEWAzEYA6AuwuYzoCrCPAbkzoCLCOALsxoSPAKKmhI8BzuilSs4XAXUJABOBdAl6vFQInEQERgCIARQCKAJzNAlUAqgLQQUAEoAhAEYBFBKQBSPRtpQGI1Z7SADyJWyr1WQj8oxEQAfiPhk43CgEhcKsI7CcAn/k/f9iixfWrjxij94Z596LKenMRTUCYiPVwgOr+Z+M2NHktLP72hd4puGajW8MPrpSIM7fwt/Iu+YCNsfonJwYFHhHUbhK3iKqh2HM6QbHv9i6amfjEGMTv4r2uMUh/icipl4nZAxG7joi23WoNN78P1PcA906K4vGPddFoY0gcNEpVjJ2GDeAdpQz7UTZs3/nJIty7u1c0Bqlsk846xg7Th2RVYvgSE0IgQ9yHLcTEiAmIT4wsPGKyUK4jJvEI31s2FO1PPYydkcv2mVk+LDKAETFGyUnbcma8wMKOaOB5xLXAI64aPhG7p6L4xCzBJ22JEU4jXkM2vJYOr8bVxAlt4pVk8Wl8QUjMOJ5dRhOQEXHzaWWYO3cME9Sgjb+FJO7IDDAj4xP5GGPLBLxyjiDHjiFDO0ch/j4JgA4xcwqJ8H5MDITKpL0NH3NxKcd+NSIcs7VoF/JJTNw3vtzFQNnaRUOidAfHsZQWscsxJVpCzBhI9221jqZakwQnWZWsWZ0J5qwhMe0Ys/lJjFZ88htZoq2fYFwEVbJ+OmM7IiYrpwJ0UGnm+Kzze7g+9To4Ns1FjIl/uvwkfnt4eG97VDSfmt6UkrFoEOeazgSf15kgTglZy8eO287pSg/a2yRzYq+P31TtHuYTP8K5zkxw6tRAB+fdmSp+A24M8eOT9X9ISLYxidm8j9iVSsV+MNOWM01sW2TYh8BDTC4NsA8hMQvZ/73X723ZH7//h2bjJROQW93N6HohMN8IiACc7/FT64XAXCEgAvDKcKUiACFuRQCKAHSDQgSgmQhAJEVEAIoAdHOFCEARgG5MRMRVVwTgte8MEYBztX1SY4XAgSIgAvBA4dTDhIAQeDoERACKAJwioApAImyvCkBIHSIARQCqAhBLXlUBiH8sEQEoAlAEYBEBVQBqPyYEhMD1EBABqNgQAkLg0BAQASgCUASgmekIsI4AE8kDHQHWEWB3MdYRYJTVYGSfCEARgCIARQAe2mZGLxICc46ACMA5H0A1XwjMEwIiAEUAigAUATiNAWkAYuYWASgCUARgEQFpAEoD0J0T0gCUBuA87XvUViFwFBEQAXgUR0VtEgLHFIH9BOC5N33Qwn0mIGvPaEGvoyX80Inq+FsnQfFoZoLR76LYdTYumhYkLbwmRV8Dm9Rws5oPiTEIMV7IY6L31sCjXuslFNRe8VATKyeC/3mCx0wf21kFjNMuirb7Kd47cUw/KkvYjowYb4wds4dpA0IPn3+qhs8bDHBcmej2wkoH+rVUQUHthPiW1DJUwb/YxWqKjAigX+jjdaO9SqEtIRmHtI4NiRyR8OlDShMiAJ5i7Iy6KKgfdjEWU3LM2CPGLWdCxLO3i/PCG2NbkhwnyzjB9pV7xfYx84hxFfufBmg8MumTCUpwJ9r5FpFYD7BblhKznKCDcewTk5JSH/sxbuK9vfvwt4Ej98bMYhbX0Yxh2ce4DtCfwHa7aAw0IAZK1id5gpilkBRgWXFKXJkfDWzMokdMbybEaIb0I3PE8rdH+NKUGEBEJE5YTMTEZGKZmArdYxgAp4nRUNPD3D4gBj9bxCzjy3srkO/6u5gric+IldIinszwY0RMQHKSn4IQ12KPGCUE5LcS0WerxTiwY5JP2kPsa7lG4qmCJh27Y4yLIMQYW3HW3skE479GDD9y4pbyNbJO7JI5tt7AvPuc5mX8GvTQZKKboqnGmMT7go/r7O4Yc8DOGHN26mEe23TyR62Mc3g5xlyUEjz7fRzXmmPuMwVjTIyLlsok3xH3oTIxxhjnuFa2yLwjnwBWIc/rtHAsao6ZyZkajnU9xD7skLFJiTnWJsl3JYJdsG8dm2oAflQmIMd0t6VuCYGnR0AEoCJECAiBQ0NABOAVqEUAigB0J50IQIwJEYBmIgBFALq5QgSgCEA3JkQAigB0Y0IE4KFtbfQiITB3CIgAnLshU4OFwPwiIAJQBOAUAVUAqgJQFYCqAHRXMlUAYl5QBSBW96oCUBWAbu5QBSBWtooAnN+9klouBO40AiIA7zTCer4QEAJXERABKAJQBKCZjgCbiQAUASgCsIiAjgDrCLA7J3QEmMSEjgDDrkJHgLXREgJC4FYQEAF4K2jpWiEgBG4LARGAIgBFAIoAnMaACEARgCIARQDuR0AagNIAdHOCNABRn1EagLe1DdHNQkAImJkIQIWBEBACh4bAfgLwOW/9dxYvXTOlOHvPDrRj3MTjP5My/hbHKEa+0V+A522dX4TfXKF0nyg9T8roCjBuoDZVRsTOPSLYvFJDAfj7SnvQtu4ItY4GIzRjMGyKrUdogvEPW/fAO7KMGJcQY4hqtSjuvVhBMfHEcGx6pA8eeadN8N5shMLrVsHOfuM9X4V+/ZN4A357ctyA34IEn/e3u/fCded3MJ5SYoxgTlwQDXuLInxnTAwAJh086kU8MMwnRi4e8cXwVrGaYrWMsVgb43zK2khY7ezisaPhEOMzIjgFYXFOec7/nw5ATgTWmRlHn8RJsIuxEw9xHgdkOuVl7Gvu471+D69LiVlEjFPRkjqm3f4ZYgJypngsNGyiyP49xDwgTXBed4nI/rBHxquF2FVa2LYwIXlxkRgInca4a0TYj9gxqJgiNCQGL3t72OZkr9hmn8Q/kx4ISYoh3h4W1bGvqxEafqxOcO7UM/zNyHzfTrDR5zvEzGSD5IUh4h6Q8fGcpkyIuc2IGOOMSPynJTyyHJL1s0LeUSXmKzExbfDJbzlZP3JiDlap4Ph0B2huEfjYj6VSMT5HLRyHkBkDkXdedIyhpnE9IPnu/rUtSAr3VdAcrZNh8ugRI7TBGOdJI0KtPDbeF/tIPI3J4rPh5BSfrG3LBJMSMVrK+9heNscCFmPE8KI/wXlCws5WymiiVA0xdsYZxk5Cvm/OEIwH4+K33Asaj8FY7+XY/8cn+N1xaYwmI6UQ8yn7Ht0Pe7e7bb//n35k1o4nnnjCzp07d2h7Ab1ICAiBu4uACMC7i7/eLgROFAIiAK8MtwhAJCdEAOImVAQgEiciAEUAigAUAeh+OIkAJH8sFAEI39ciAK9BIgLwRG2/1FkhUEBABKACQggIgUNDQASgCMApAqoAVAWgKgBVAegioApAVQC6MaEKQFUAujGhCkBVAB7apkUvEgLHFAERgMd0YNUtIXAUERABKAJQBKDpCLCZiQAUASgCsIiAjgDjnBABKAJQBGARAR0BPoq7G7VJCMwXAiIA52u81FohMNcIiAAUASgCUATgNAZEAIoAFAEoAnA/AtIAlAagmxOkASgNwLne9KjxQuCIIiAC8IgOjJolBI4jAvsJwH/2a//WKssrV7uZoz+HteoovN2OUesmC1FTbmcLDR8qm3hd5jwuJ+LcRkSnRzWiYt1AzbJ7avgX/HuIQQfRIbedEYp9j1I8JpaTpnhEoHx3iNg90MRNBzMu+Ur/mmHLdNAiIgjuEcH2PnlnPkTlfVS1MotKiGe5jBpoDy1cgOnynHgbfnukhyYoF4lZzMYecWjIiOHBGPtxz0rRzKVFxNkjH48A77VRdN0nZgw+GVefAV/Dd5xZxVisGGLcIm3xutj/1iVsc7RLTHrI/PGqRc3DmIyrF2IftomI/yTFeR228beIjKFVMGipIUmEGo1+B9+RElORCH1WbLiG7x2uIMbeYtFAIyVGQ9UqCtYPRzijsm1sXEhEsVgKrLaxbRF6e9iY9Cs4i4ZBZWLwkowRz/YOCu/nl3He+Q7GPpEZLZHxz5dwpa0TQ40KSbL1CWJSJY5MUY5x3Ovh+HQmGBOjDv4Wob+RpQExriEGJ4FjSENSsU3IuLL5P1xH7KrEQGQFh98WyJpVJV4pOVkYSPNsSK4bEKeJlK2VxDCmUi7O9waZ6wGJky55Z4/MsW6DGI8soxnFQoy9zTPs7IAYXox3yLcSMQwblfHHNpmLrRKJ42ERvJysRaUm9qFJzNHqxPCnRq4LyBhmIeI5ILE4JPlzoYkJepLi5CkT85kyMS65r4HPK3nF9q0Rc5eLE1xPdxIc6+0xMbKh32MI1H7jmn5v0/7og6+YTWKZgBzHHZf6JASuj4AIQEWHEBACh4aACMArUIsAFAHoTjoRgEjsigA0EwEoAtDNFSIA8ZNFBCASRSIAyR9ZRABenTwiAA9t66MXCYEjh4AIwCM3JGqQEDi+CIgAFAE4RUAVgKoAVAWgKgDdlU4VgKoAdGNCFYCqAHRjQhWAqgA8vrsk9UwIHA4CIgAPB2e9RQgIATMTASgCUASgmY4Am4kAFAEoArCIgI4A42eSCEARgCIAiwjoCLC2U0JACNwuAiIAbxdB3S8EhMBNIyACUASgCEARgNMYEAEoAlAEoAjA/QhIA1AagG5OkAagNABveoOhC4WAELhpBEQA3jRUulAICIHbRWA/Afgv/s07rbK8fPWRwQqKOJ+voTPIZQ8NGoZMFLmHKvA+EYXOHMV7JuydE0H5wSk8xrmy1AGI7ivtwm8lIgrfnaDhyRYxAQmJeP7OAMWjhxPU2QtDVFl/7uJFaN8ww3sf714bqxmBQ4Ih9lF0un8RxysiIt7ltSE8sVHG32oR/jYh4txfV0FjkP988WF4x2SCCvBVYkhxtlY095g+aECEwgOvGBc7YxybzgiP8Iy3ULCdeIWYOeL003ZUGqifF8cYn40SMYtg4vHEoGC8iQYSfhejgGiRGzPfKDudo32NMV73uohTPiITlMRnXiVGFguIHdGTt2RMzHccAfwZuU2MFzxiAjBaw/EpLeP45M55tz4xnvEDzJ2jPcQpJuPF5nGOt1pEzAOYCUheQ+Dr92JerIWIe7eP86J7Hh8Y7BLjFqd9IekYMxpiOauCTbMScWkq9/AlJR9jNiHmBpMBxuyAuFtMiAmIv41xTELMUgJC5uBEfDcsw3Cyyg7+GEXY/yWS208PiFkKMS0hPjtGUqX1yXTvlrAtPTIXbQ/bkjbw3nJcvG4Jl3GLW4jJzgrmCfIpYoM6yUVkEEvEkadMriMpwErb2L4xwb1NjJBaZP7ssO8gpxuO18UsGVSIycoief4Kpj8rJ8TIooO/sfFn/WoT87akgcktJnN2aYCNXiZzNiION75joOJViPkWceTpEwOthE0Ast6x8N//WTAYbth//sT3zO6UCcjt7m50vxCYLwREAM7XeKm1QmCuERABeGX4RABiGIsAFAEIUSEC0EQAigB054UIQFw/RAAiJiIAkbATAXgtTkQAzvV2So0XAreFgAjA24JPNwsBIXArCIgAFAE4RUAVgKoAVAWgKgDdtUMVgLiaqgIQMVEFIKm8JlWbIgBFALqzRxWAt7Jj0bVC4PgiIALw+I6teiYEjhwCIgBFAIoANNMRYDMRgCIARQAWEdARYPxk0RFgPO6qI8A6AnwzH/c6AnwzKOkaIXAyERABeDLHXb0WAncFARGAIgBFAIoAnMaACEARgCIARQDuR0AagERTUhqA8K0aSgPwpr7fRQDeFEy6SAicSAREAJ7IYVenhcDdQWA/AfjgL/1Hi5bWrjakfhbNHc77C9BQf4BS7sxAICci06kj7D19uHudR4xCJhX8i3PldB/axowimCj2YIJHQJMMlbL3hmgMEhCHgpyYbxDNfqsS4f1nlLehH16O/b04KBqy7AxQm2vYw36Vt7FffolUNZweQDvWquiKuBqhocDeCI02qh4qiv/tk/di4JM4WV7G965X8L1PdDE+QycYdweo7TfqoaGGR1TcI6KBVyFGLj4RZ888IlhexZi93GkCJmmXGMjsMlMdIu4fo4NCREwVvFZxHsdEYX5ETDvGRBQ9JZM9IzHmk7H268QGYYAxy/JCgmFn2QI+jxmDlOqoHn/vwg6MxflhcXx2zjdwvg4JcbBDzA5welpWw3vHy3ivT4gIhmdIxqeyhLk9nWA8pW3M7dE2Xhd1sX15udgPMnWshuFvJTL8AdEoOLeCLhCtXcyB2ZBMxi2cT8Q/xibEVGRI5k6CqdImJLZz0rfMgc7VmJwGVzzGh9WIQUODdHWVtHetTYwciDGEEQORvjOu0/YxHbcBMcbosc8cNi+q2F+/WWxMo00w+RoxsqkSE5AaApUQ443qkOBE2kZjdoz3Bm08FzwoYVtIurc2M1ohHxUT573MfKdMcswpEsOLPXwBMzfJhnjd9iquqWz8RyTGEhJjzS5it7yH412q43ttkYDnhM8AP+2MeOXYkBzt9nskP5NXVslcjPe1oz/esI98TiYgd2c3pLcKgbuLgAjAu4u/3i4EThQCIgCvDLcIQBGA7sQXAYg7GBGAZiIARQC6uUIEIK4fIgBFALrzRAQgbi9EAJ6oLZc6KwSui4AIQAWHEBACh4aACEARgFMEVAGoCkBVAKoC0F14VAGIVWaqALw5IwcRgCIARQAWEVAF4KFtbfQiITB3CIgAnLshU4OFwPwiIAJQBKAIQDMdATYTASgCUARgEQEdAcZvGx0BJsf72bF1HQGG4FEFoCoA53e3pJYLgTuLgAjAO4uvni4EhMA+BEQAigAUASgCcBoDIgBFAIoAFAFYQEAagPC9GEoDEDCRBqA0ALWxEgJC4PYQEAF4e/jpbiEgBG4BgQIB+JY/KJiA9BvEeKCDovA5eipYRnSYPbKZIPr0ltaKgtJhFTfmEVHdPl1vQc+bESpbdyao9rzRR+OF4Rj7mk4Qk6CGf/5fWWhDW/oZ3pskqKe1HuG9JcN37AzqhXcw84ikj30ICOghMWNhJgNLTfwb/iliAtLtYVAMu9gWZqBgMapsnz6FmIQRCo+f76Ihgx8Xr2vt4viHLRyHyVmMu0YZlfeZqUxOTDC8ACfAMCEx1icx1iGGH9g8CzLErkZiJyYGAsFmcdJWLhMzCiKUPibmASSsLalj/6MBEftneu3kHRPyvNEq9j9axs5OPHxgTt7B8kynVQQhvETMM0iuC/r447iO/U/Rx8KSdZz/zPAjIEYeATFj8Cs4d8IdBCAmRgvM8KNElPxDc0xAAuxrmToj4RgGKWJ3trkHOXZjE02AAtKvnDh09Bv43hHBbkAWsowY8kxIVVjqOn6YWdQv4sIMJarkPsJDWa2EGC+SsquFPcSTeBTZmJgxDDFlWa+Mz0s62JYOM/3CYTSSsixZKj6PpH8LmaHIBNs2amDbMvJbk5jbkM8RS5r4vJzEdkZyQI/kAGY+4YTJLPbHJI97TuWhRww/miTXrREn32YL58SkivluTPpKPhWtR3IA+aQyIzG22MJxXNrBRdCrke8sgoFrcDMibikjYr42IHMiJCYgIekr8Xux0r65PTUB+T//TiYgt7CF0aVC4NggIALw2AylOiIEjj4CIgCvjJEIwJtzGRUBKALQzWoiAEUAigAkf0AQAQgfQCIAcZ0VAUi+k0UA2hNPPGHnzp07+psItVAICIEDQUAE4IHAqIcIASFwMwiIABQBOEVAFYCqAFQFIGZMVQBiZZMqAJHEUQWgKgDd7KEKQMynqgBETFQBeDM7FV0jBI4/AiIAj/8Yq4dC4MggIAJQBKAIQDMdATYTASgC0EVAR4CRANURYELs6AgwgCICUASgi4COAB+ZrY8aIgSOHAIiAI/ckKhBQuD4IiACUASgCEARgNMYEAEoAlAEYBEBaQAiASoNQMwT0gBETKQBSNyiib6tKgCP7/5KPRMCt4KACMBbQUvXCgEhcFsI7CcAH/hfPmTR4vq15/moFO2hvrJNFrEJHvnQMWKC4BMjg/piv/DAtQoaQCxGXXjpNlHP91ylZzPLc2zcV7dX4HkB6QMT3i81x3BvuYnmI0Nyc0LE6MOUGBkQc4eNTtEEJCcGAPUIASZa1xYRUfD2CI08PCKAH5AxXExQKy/YwTjpnkdXCW8Pgyw/hSrj9TOI8eaoCi/JG8UG9jsluMYj45CfwnGNmeMH0fqKfWzvOMOAGpG2EN1x8xM8YhcQAfia4WD4PcSzRIwRyo7hQ3mXmJYQ54ExMfxJSJ5IGvg8953TgYmJocTgFMbOaBGfx8bMY+YOAQZ8Skx/jJgWxJvFe/02toOEk42IQcPoLMZYVMaAalRxsHd6xC1kiMCzKj6fmJRUtshxX8dQYDoKEaYnKzuGH9PrGsPimPlNvDEk+dlYzh7i3IliYgDwNZzbIZknCV5mfRJPw4gYSJAVN9/C9mXFZWx2V0ZyZeTgVCUJwPHFmj2rgsNlJeLkUSfmDhHJWcSjisYsM23IMYzNyLzoEgOFCcFkiGncEmcsSAhbPiQxTAxPcgKeX1xOZxjXnLGZ/lYm+SmJCVFKcuCYzJ0BiTHDTx4bk4WbeNSYu0T7JO82SYJaIuNVInNnRAxPMmKCgauz2ZjEbEa+PYKIkGdk3i1exEBOSZldf4mYaDnjmBB8x+QbcExM73wyro732Kz1JEws2jff+6MN+6NPyQTktjY1ulkIzCkCIgDndODUbCEwjwiIALwyaiIAMXpFAIoAdKNiKALQRABirhABKAIQokIEIEAiAhBzhwjAa1S2CMB53EWpzULgYBAQAXgwOOopQkAI3AQCIgBFAE4RUAUgVhyoAlAVgKoAxBhQBSAurKoAJB8bIgBFADoIqAIQ54kqAG9io6JLhMAJQEAE4AkYZHVRCBwVBEQAigAUAWimI8BmOgIcYVrWEWDARASgCEAXAR0B1hFgNyZ0BJgsJxAXwToAACAASURBVOQItAjAo7IbUjuEwN1FQATg3cVfbxcCJwqB/QTgs//1hy1auKYBmJLjfh7RZsmIFBWRIjKvgrpoJQ9/u7++XRiDM3Hx/0//8ULShHH6cmsVfqtFeIxzQkSMshSPcK2X8BO2HGJ7LyQoHjSq43VRDQV1ohwFkLY6COiwj+RExS/q35yKURcxI2JsJaJjlxoKFu2NUYgpTVCwp2GI8TPSXRiL6i72dbSNAnJPdlBUsu2jVmB+CoV3JiGOY1IpXpcRUseIDtF6rQd96A1QPGzQxbHJicZWkpBjgkTEKaojnkFK9O56RBeNaHGFO4hxbRd3Iq4uXBYSbTsiRjYhc8fvY9tSHEIj08lyMj6TZZxP/hJ29oGzl2HMNiKcn+cHS3BdOMEgIGFhrqZeaZtUShKNsfYqxmt5FefsqXoL2jYwjLGvbGG+CwfY4somjjXT7SyRiq0ow3uZ9lyd6PbVnDmwsIbziUwJ22kTHc8e2TljSFipRSp5iUNtSnTRxotEt3OMeZHIcVqEYWceDqNNAqJR5+jMVTKMp5CAXiLaeeTxFpLrsjLGInmt5UQrjuWFqIPzvUS095gO5oDM9yHJM57TYZZ32G/5AMeQ6uASzT6SAo3IXVpK8v2QaB5PiDAcSe2WdrAxKUlGTHvOjYGghPFUIe2oEO1Jr4/taDgazdNktdNBYbxkRNYAAp5fJt9KRKTUHxIAyPo5IZqKYQO/vRLnO9Aj70xJgvLIuMZEVJNcZitlFJUcjK6tz/3+pv1f/8e/nOX/J554ws6dO3ei9iPqrBA4yQiIADzJo6++C4FDRkAE4BXARQCKAHSnnghAEYAiAEUAunlBBCA5Fi4CEL7cRACKAHSDQgTgIW9w9DohMEcIiACco8FSU4XAvCMgAlAE4BQBVQDiTBYBKAJQBKAIQBGARQRUAYhrhSoAVQHoRoUqAOd9d6T2C4HDRUAE4OHirbcJgRONgAhAEYAiAM10BNhMR4B1BNhdDHUEWEeA3ZgQASgC0EVAR4DxDLgIwBO9tVLnhcAtIyAC8JYh0w1C4Ggh8LrXvc7e8Y53XG3UX/zFX9i3fuu3Pm0j/+RP/sTe85732N/8zd/Y5uamra2t2Qtf+EJ79atfbS996UvvWAdFAIoAFAEoAnAaAyIARQCKACwiMJYGIHx7iAAUASgCsIiANADv2BZFDxYCJwYBEYAnZqjV0eOIwN/93d/Z85//fEuSa38RfDoCMM9z+9Ef/dEZ+Xe9/6Yk4G//9m+bx5w1bhPE/QTgw//6AxbvMwEZLaCGCy2VwtMfljVQZPzUYgdau2Ioinw6KKqnNwIUyt/J0VHg06174fmDIXH2JOLUzRgNBRYD/G017sM7hsR4IiNGDo+mC3Bv6OFfjtMRHrvr9dF84v5K0Rzl4egSPP9vu8+E37oTHLAmUZTvkesSYpSw7OMY3pOiAv54D6tpogH2f3OMJihP7qHhgUeE8Sdn8Hm+Yz5TKaMqfuDhcdfVCE1gWn00KOh10WQj6WJfczKu4yrOk0oN8RzSOMY4CbtIYtW2cB4HRPDcNekJiUNHqYRzYifF/qe7GK85mYreaRRnX67hHOsQE4xBhP2qLeLz9gKM97yNv5WI4QHxBTBzTAtCYnc5IYZHRoToTy9twfzsefjWR9sk/jcQ44CYETBzDzYWMYadMaOJKnEeOFPBMfMnxfF5ePki9PVLKZqxPL6HJkD+HsZ1GuPcYaYypUWM2VoTf+tXMJ52U4yTYAvHp7SF+SNAzxMbNYnBhxM/EYtDMl8jZoxCvFJKVZwTVbK27XVxTWXGIDWSA5I+5oCQrLNLdYyT3gjH9lwD54U5JhUXh2gEFjvGWNOA250QAykfgZp4OP7VCmI3yoiZEzHQmH7buf/VAnxehfy2O8F1hjTZBgniPhoXE62fY1/Xypi01gPybTPCHJOm+LzuhBhNkYRSIu5D7HukT543IoZmJN1ZSubKP115HMZi4iTBJMM+XOhhflor48Rm4zpJccHLSOx0J9cw7vW27P0feMWsrTIBuc3NjW4XAnOGgAjAORswNVcIPIVAlmX2ohe9yD75yU/a+vq6bWxszP7p6QjAN77xjfaWt7xldt3znvc8m1YPPutZz7JHH33U3v72t9tnPvOZ2b9Nr3vzm9984GCLALwCqQhAJMVEAIoAdBOOCEATASgCENZhEYAiAN2gEAGIf1EQAYjksQjAA9/W6IFCYC4REAE4l8OmRgsBs3e+8532Uz/1U/bQQw/Z93zP99iv/MqvPC0B+OUvf9kefvjhWbXgtGrw4x//uFUq1/5a3e/37Vu+5VvsU5/6lIVhaJ///Odn5OBB/icCUATgjABVBSBMK1UApkh0qAJQBKAIQBGADgKqAMRqPxGAIgDdRKEKwIPcvehZQuB4ISAC8HiNp3pzQhCYlus/5znPsW63O6v4+8u//Ev7xV/8xaclAF/72tfab/3Wb82u+cQnPjGrHnT/e+SRR+zFL37x7Ocf//Eft9/4jd84UERFAIoAFAFopiPAZjoCTI5Us2yrI8CAio4A6wiwGxQ6AqwjwG5MqAJQFYAHuoHRw4TAMUJABOAxGkx15eQg8PKXv9w++tGP2g/+4A/a+973PvuFX/iFpyUAp38dvvfee+38+fOzisHPfe5z1wVr+u9f+MIX7Ny5c/a1r33tQLUARQCKABQBKAJwGgMiAEUAwoYdlQFMGoDSAHTjRBWAqgB0Y6ImDUD4plcF4MnZE6qnQuBWERABeKuI6XohcJcReP/7328/8AM/YMvLy7NjulMH3xsRgI899tjV47w/8iM/MjP5uN5/039/yiRket/9999/YD3eTwB+/c++3+KFtavP7q/gXyuTCDc/ySJ+/C6soKD02RhNQPwxbrqrXlEou5+hmHLbUHPo0gDNIwLDtlVyPNp4LmwDpsvEoGSSYv8z4hQwqqBA/ZcSFJTuTfDmOnlvlGKbF72iRt3pEI03Hh2chn7tEJONPEch9jzF36rEZeCByg68I0etc/vqNvZ/OMQYGzgi5tOH+8RUY7JKqm5WiOB/tfgb0Xq3ATFZqYXEoKWPsRjs4BimJRz/oIJt84lrwTgl5jvEpGSwheL25V28t0TMCPIqYuc5pgp+iH1wfB1m4z5isZPgvM5WEc+H1i9D7LRznNubCYriDwxxD4mpSrKF99ZbxECCGCikzAipXpyL9ZgYmVTQuKhLVPzLxDxjM8f2Xnz0Wl5+CrDG15Cdy4kxikcCPi1jZ70SyzEYs9UxYrfgIwaeEz8rDcyx/x8xbsoGZFyJ4UW6gO0NIvytUiemPzWM/4RgMjLMgRkxXyntIZ6lXfIO8t7QWSoDj+SOAQtO8hlAXBEqJD7LxHxqr0/cvLALFhOMGz7iXiYOInGCfRsSE5DFCJNWxWnz7hDXeyMwDckYTpwq3imSu8QZJ42wvb0JrgEVIo3gk3E0YsixEOHcCYmByGCMhhw+MeRwT+h75J3kFL/VDedJI8ffdnqI+3CM86RMMClHmE8SYozRJ+Ym3RHiHhLpkgohHs9WdmGypM460xmhqUy/j2vsWhW/bWMP4/9UjPmuRQxpRtk17Dq9Lfvd33/VrK0yATmwbY4eJATmAgERgHMxTGqkELiCwN7e3kzH79KlS/Y7v/M79sM//MOz329EAP7RH/2Rfdd3fdfs2l//9V+3n/zJn7wupNN//+mf/unZv0/v+87v/M4Dg18E4BUoRQCKAHQnlQhAEYAiAEUAunlBBCCSHSIAyR93RADCd6oIQCQURQAe2HZGDxICc42ACMC5Hj41/qQh8OpXv3pG/H3TN32T/dVf/dXV47k3IgCnFX8/9mM/NoPrAx/4gH3f933fdaH74Ac/aN///d8/+/fpfdOKwJv9b0rwPd1/Fy9etBe+8IWzS1QBWERKFYCqAHTnTqoKQEgnqgBUBaAqAFUB6CYGVQDiH1BUAagKQHeeiAC82d2MrhMCxxsBEYDHe3zVu2OEwJTwe8lLXmJBENinP/1p+/qv//qrvbsRAfiOd7zDXve6182u/+M//mN76Utfel1kpv/+VNXfr/7qr9rP/MzP3DSKnkfOxFznbhGAIgD3I6AjwDoC7KYKHQE2Mx0BhhVEBKAIQBGARQR0BBjJPlUAqgLwpjcvulAInDAERACesAFXd+cTgfF4bN/4jd84M+/42Z/9WXv7299e6MiNCMBf+qVfsp//+Z+f3fNnf/Zn9m3f9m3XBeLP//zP7du//dtn/z697+d+7uduGjQRgNIAdINFGoA4faQBaCYNQIwLHQHWEWA3KnQEWEeA3ZiQBqA0AN2YkAbgTW9TdKEQEAJTI758ag+q/4SAEDjSCDxF8N1333322c9+1mq1ojDyjQjAw6oAvJUjwM/9yQ9Y3Fy/inu/jmLsw3PE8OMcCt6vV/G3BW8IY3q5swi/uYLKHSII3c7QKGBADDXWmtiOB+JteGdtgtVepQQ3OttMKNpQnHozx7/0bqYo4r1Yw/Y9FF2A9uUTrDAZJcXxWfSLpiDThzw6PgXPenKAmDeJQcWE4B4TYfdvqj8K72iNsf9/v4eGJNsdvC4lovB5GY9T3bO+B+8NI4zPUlQc2zAgBi2XEacyua6c4b1Z9+ZE4Usxkil9ZwynHeoRE5TJBDdY4Q7RbfTJ5wPxFPHJdaFjNJA2sa95BedEQswtsgDj9RnrOO/OEHH2J8ZoFkO07u3ioAHjz4Ty4x7iVN/DvqWLCFS2jnnhGbWi2c5khHky9nGsF8tognQ+xT58ZXsF+lW5QCrM9rBt4wa2ZdIgVeBkHMspYnLK0IxhQgx5esS4Y+zExQRTtqVD/JGkTvMCjGuf9IHWuxPDB4/4XaQ+jj8roA/6ZC6iL4DFLdIa0g8vKfYtIOPg9/FZMTFtSEjbjBhteWT+pwlJFI4x0DQwmxU88s6O+y4RJ6jNnTqubUPsm0/MTJquWQYxj6iUsG3bOQ72FlmLx8xAiPR/Qkx1GjV8b2okn+T4WzNCo40FD/NHaw+xq0xwzja94vPuiTDvbPQx7+Rk3Y0mOO/6LfyOmWQ4hgkxYMtI/JdI/yvkt+E+s4yngsgPcD0iTbExMTQLnOedLeH36XCA3yeniHFTa4Qxdq6KxiPdFPPdzvCa6VOvt2nv//D/MOueTECO9BZQjRMCB46ACMADh1QPFAIHi8DU6fcbvuEbbFoF+JGPfMS++7u/G15wIwLwsDQAb9Tz/SYgIgCLaIkAxI9VEYAiAN2cIgJQBKAIQFxpRQAiKSYCUASgO1NEAIoAvNE+Rf8uBE4CAiIAT8Ioq49zjcDUhOM973mPPfDAA/bLv/zLtC9T444PfehDs39705veZM95znNm//vlL3/5rFrwox/96Ox/T/87Ki7AIgBFAO5HQBWASPapAlAVgKoARMJTBKAIQBcBVQCqAtCNCVUAqgJwrjd/arwQuIMIiAC8g+Dq0ULgIBD4oR/6Ifu93/u9f9SjvvKVr9gzn/lMe+yxx+xZz3rW7BlTQnFaEXi9/54iHKf/Pr3v/vvv/0e9m92kCsArqOgIMB45EgEoAtDNGToCbCYCUASgOy9CHQGGzwsRgCIARQAWEdAR4APbuuhBQuDYISAC8NgNqTp03BA4CAJwKvV57tw5u3Dhgj300EMzM5Hr/ffwww/b9Njx2bNnZ7ogt2LscSPsRQCKAJwiIA1AaQBKA1AagO56IQ1AXEGlASgNQDcqpAEoDUA3JqQBeKPdh/5dCAiB/QiIAFQ8CIFjgMCNNACnXXzNa15j7373u2e9/cQnPmEvetGLoOePPPKIvfjFL579Pr3+Xe9614Gis58AfOhHP2xxY58JyCn8qBuew6qoxlkUim+UsKLMw1ttp4XC1tmkuBFPEhRdT4mwe46X2doCmmyshdheG+Pmv9dHYec+Ea0fE4MGpos2IoryXoxq5w/WL8MYhykevRxMiuYTjQA3Zp/euxeelRER82YNx2s4wuMqAcHpoeYGxiQRsv/czhpcN6JC7tiWSoC/5QTPYY6GHOVSURS9T4S4h5vXdHieamSEr7S4gYLt5RwDOyLB7vt4XauPgureFvaBTB1LyijQnlYxTnKmik7miu+YAGRVfH60gKCcaqLIfI+Y9DSJyHpAjFbaxC1im4ixj7ZQoD0cYc4i4W6k+zY5h9g9uLIFMdvMixhcbKGpzmKEOeZyH3Nde6toHjV9GfEoMtcoYnrdpEzy8ypOxbyJOWaB5Iq8jZV9tTFiEo4wGvc6mCvGreJvHjGjGJ3CGMsX8Z1BBd9Zr2K+63QxJozmXXyvR3JRQNocEtMKZj5Cl5kGvjeoFHOK18OnBV38LRwSw58dHEPiDWUpXmak+5aV8B1LTSx3zInRTkCMS7JNjBOPGH4EDGPnOm8Vx9+IaQfxVLK9CTGyKGGMMcOPnGBSa5K2hMS4izSm7oz/dAav+Pi8vI3YNQbY5sq4+FspR4A7fZwnPi5tluwR5x7HLGra3jEzlYlxHo/IWrRO1o+yj/de6qFxyXCMgRyVsSMxWXuTQTEG7qtjXI+6+F2wWMax6fcRpyoxyxkSM5J03xTr9Tftwx/572dJXCYgB7rV0cOEwJFHQATgkR8iNVAI3BiBmyEAv/jFL9pzn/tcS5LEnv/859vHP/5xq1SufZgNBgN7yUteYp/61KcsDMOZ2/CDDz5445ffwhUiAP8LWCIAIWpEAOJEEgEoAlAEoAhANzOIAERKXQSgCEB3nogAJH/MFgF4CzsWXSoEji8CIgCP79iqZycIgZshAKdwvOENb7C3vvWtM2Se97zn2etf//qZNuCjjz5qb3vb2+wzn/nM7N+m173lLW85cARFAIoAnCKgCkBVAKoCUBWA7gKjCkBWeUeqTMnKrApAxEkVgFjdrQpArCBXBaAqAA98s6MHCoEjjoAIwCM+QGqeELgZBG6WAMyyzF71qlfZe9/73us+9pWvfOXMddj38ZjqzbTl6a4RASgCUASgmY4Am4kAFAEoArCIgI4A6wiwOyd0BBiJXR0B1hHg292L6H4hcNIREAF40iNA/T8WCNwsAfhUZz/2sY/NSL5PfvKTtrW1Zaurq/aCF7xg5hD8spe97I5hIgJQBKAIQBGA0xgQASgCUASgCMD9CEgDEP/oKgJQBKCbJ6UBeMe2KHqwEDgxCIgAPDFDrY4KgbuPQIEA/Kn3W7ywz6jhAdT7ai+h6PIoRl2TlQYKKhO9f+s7QsxTRDyn6KBWwXZkzMQgIoLYId6bElORgAiRX9pagAHyiVC+V8Kbm40B3Eteaz0iCl2PhnBvnymZO3yF7wJnZh0idl6uYHvPLLTgnY/voqOA18Xxv6fahnu3W3ikdjTAe/MqtqVOzCImxGglS8kRsxw3bInjAsFMZcJdbFtgWP1SXcKxIVrnlpHBngyJQH+bbDCJ48eECM8ni4hdVEUB9N4eCr6zyibfgXO0hg2prWNcP7i0CeN/edyE36oREWcP8LcnumiqMXgUDTTKl5Gwm9QRz/ECiZM6jm24gG1ZIGZG91d2Cn271ME8MRjiUb/xeXLMvE2MVrqIe8IMPxrYrx4xaVokuTjpYftCZtpATCWMGFIEmySOR8W+TWrY3sFZ7GteIwYddbwuLOH4J3to7hARI4+8QsZ/wgxk8LryHq7bYZ8Y8hATiM5ZsuY7C6NPTEDY2ER4ctJKG9iHmMTYoElIHGJQkpM1texj3gm3ifnSNr4jahOMSb7zxohn5vzUJ/E0JPM6JSYwAX6e2Bg9v4yt2QmJz5zEp2/Y11If54kXkRwQ4m+NBOO9SQx5fOcdeRc/lnxilhRWievVkHxo7eFvCZk7nQViqkLMQnxi3FIha8WojXM7z0k8kbxQijBmvb3igC80sP8RWbNj0gcj5iblGn4rBAGOYW+fmdvUBORDH/nvZklCJiB3f3+kFgiBw0RABOBhoq13CYETjoAIwCsBIAJQBKCbCkQAigAUAUjsYkUAwleDCEARgG5QiAAUAQjfFCIAT/iOS90XAtdHQASgokMICIFDQ0AEoAjAKQKqAFQFoCoAVQHoLjyZKgBhLVYFoCoA3aBQBSBW4qkCUBWAh7aR0YuEwDFAQATgMRhEdUEIzAsCIgBFAIoANNMRYDMRgCIARQAWEfDIcT8RgCIARQAWEdARYCRAdQR4XnZBaqcQOBoIiAA8GuOgVgiBE4GACEARgCIARQBOY0AEoAhAEYAiAPcjIA1A/AyUBqA0ACEqpAF4IvZL6qQQuJMIiAC8k+jq2UJACBQQ2E8AvuhNv2vlxWvGDzvrqOuzXSci600UNg5D1H8ZtokZATFaWGn2Cm1cr6HJxBMjFN6PI2xHNUJh5/4Y+7AUoLnB4xtoguEjR2AxEUVfr3Uh0iao/219w4/p/aLQTz1kREww3PdWQmIAkcbQjrGHx12rNby33a7BvdEIJ9Cij0dd8iH+Rdx8jIk4xgfmxMxkRExQhiNitDDCvqUOdkQ33DxiFBCQdpRIH0o5CrYbMTzxickCudPSBsZxFuCVeQWvGwUYZNkOxoBPRPaTxeKYlZ5RnIfTkV8i5jZZgGO9N0HDC8eLZRZIGTEAGHSwvdVHyeTB7lsfp6ylTXxJQJxbYmJ4UCXi8RW/+OJOD90DkhbGZuNxMieIxF5OzCPINLZJmRglrOA8ZkL5PtH7j0hMeBeJWcgO9iPYxbaMKsXrhit4zWQFxyZ17pvGCTPtsAxjIhxg20haNI+Y6pTIvSTqrHEZ2+xNsG+9Zby7fS+Zx0mxzSEuReaE3GzulMk4lDfx+Wyse2yekDXbJ3mReFRZeYDvrWwT8wmyfnrktwmZF0Nnmg0xTdhgiWRUMu0ql4l5BBlDI/MkJW2bLJGXkPlJPkeMTHcrGcZYM8OEV+phjAWO6YeHy7OlJLDDGnaWGYuNSH7OSDs6q8RZrYx9IMhZ2SNrm2PaMZ0DHjEfyUok3xPDsLJzb7VODMlCbIdPyL4sQUAbNZzI7NtmkFwLqKkJyP/+h/9yNr9lAqLNmhA4WQiIADxZ463eCoG7ioAIwCvwiwAUAehORBGAIgBFAIoAdPOCCED8ZBEBKALQjQoRgCIA7+rmRi8XAnOGgAjAORswNVcIzDMCIgBFAE4RUAUgqWpSBSCkNlUAmqkCUBWA7sRQBaAqACFZqgKQMMWqAHRBUQXgPO+g1HYhcHAIiAA8OCz1JCEgBG6AgAhAEYAiAE1HgM1MR4Dx6JgqAFUBqArAIgI6AowfVToCjEdgVQGoCkBtwISAELh5BEQA3jxWulIICIHbREAEoAhAEYAiAKcxIAJQBCBUtkkDEFZYHQEmhV3SACSgYFWkNABVAagKwNvctOh2IXBMERABeEwHVt0SAkcRgf0E4I//mzdZc3nxajP/3/oD0OTHgmv//tQ/VhZRP65MDDl6RCw/JCYg5bgoxlwq4fN3xyi87943bZ9HpHkmY1TxbgYogD0aYPXLQ/UNwKQ7QlOReoR//f18fw3unZAG1kqo2p0Q1e6z8V7heeMMRde/3MV3lmpE7JoIgLeGaOQQEnOPsIsgnw460NeImKXUYtSZ8zwkYpipxJMdjMV+G+PCDbHAia9ZnJDJmQ4Rz5hozMcdvK5EMMnxMjNiIFJqEGOUGDHpxlh10QswtvMOxnFKOlK7tzgWS7U+oFIuYewMAnx+O8dxyHLS3l1iDLRHFOqJGP+ogZiU6zh37qm1oB8D4qpRDrBvCTHp2e40is8jJivMeKKyTYKMGKikC8Rkghg0VMmcvbexCy9pE9Ojyy2nD2aW7pFqv20ci5yYVCRkXgydfviLOIhBHQmBno/uDolPYoLkzoiYEfg+Ni4k7S0TswSyjFllF7PFqI5jO6riS4ZLJMYcMxOf9CHGqWjEn8bKpG3MFCHPiFkICVpmerWQ4jhmJMdMiFlESNaeMRnboYfJcrBUjJWkivOEfSvkI2KMREx6gj5e5xEfi5CsHzExi1gt46B1+5gXA2K0spCSNZqY9CxkeF1/WPwemRDTCjZfY5L/2G+tCfZhd4C/La6geduZKuanCnGByVIc/8fa+C2z18P1g31n58SUqzIojndlGeP6TA2/TyLyzRoxgzMyebop5lhvn8NPp7tlv/37r551QSYgR3HHpDYJgTuHgAjAO4etniwEhICDgAjAK4CIAMSPXxGAIgDdhCkC0EwEIC6jIgBFALoIiAAUAejGhAhAEYDahAkBIcAREAGoyBACQuDQEBABKAJwikBdFYAw51QBqApAVQCqAtBNDKoAVAWgGxOqAFQFIMSEKgAPbR+jFwmB44CACMDjMIrqgxCYEwREAIoAFAGoI8DTGNARYB0BdpetUEeAYSUXASgCUARgEQEdAcbj6LEIwDnZBamZQuBoICAC8GiMg1ohBE4EAiIARQCKABQBKALQTBqA0gB0F31pAOJnkDQA8Q8FqgBUBaAqAE/ElkmdFAJ3DAERgHcMWj1YCAgBF4H9BOAPvPNtVlteunrJZxsouvxofu3fn7owC/GY2PIiHh+cjHGDWY/R4MP1RRgT94QkRyH2OCCC8kR02x9je1eI4cG4h+19oL4DQRQSEWui622f2TgH92ZEoDtoICanayio/dzK+cLznhiuwPOfGOJ4xVXEKSFj2GmjCUid2BguElH40hjfUfPR3KIZdaHN50do7rHZQ5X9cQ/NAgIixr1YKcZiP0WjjLEjxD9t1KSLzy+3MHYiYihQIqYVcURi3REin77XI6YFWQ3x7FaIUH6E7UtDnCulRXQ8+IaVJwtjkRODiraPouttHzd/G0M0mUiGiHvUxvYmFaymWGpgnGQIicVkLi6TGOsTE5DcR5y+uodzKtwp5oXSBO/zSFDEJCb8CpIJa0R4PiPxuRKhQD0Jf0sSjJMndxdg3k2IUH5GDCmsRkxqiHGP75glZJhOrevhHBuSC/2EGDQQ6x5m+hQQo52AjE8Zp6fF2FWLBjjexZZdWgAAIABJREFUySrePCG+JeRxBn4cW4SIJcYDbO2sTnDuLBi+tUNyW69L9MkyUtlEJl46xhgjnj+2sIAOMsMY7+3EmCv8ZnECtTy8JiPfBVkbY6wxxKRdJyYb91eLRlvTSbPgYx8mxIDr/hgNw/6+dS/Mu3YXc2qDmHuUyUfFuo95vOMYpBG/F+sSkw2PGVkQY5CQfGdtjPFboVrBti2WMGcZGbOa4Xx6orcM2PUmGLM18o2SJRgrFae/p4nTDvPt6k/Q9C0juahL2lYmCWVxnxFau7ttv/kfXjvrp0xAtF8TAicLARGAJ2u81VshcFcREAF4BX4RgLhbFQEoAtBNTiIAzUQAigB054UIQBGAbkyIABQB6MaECMC7ut3Ry4XAkUZABOCRHh41TggcLwREAIoAnCKgCkAkQFUBiJVOIgBFAKoCUBWA7leQKgCRABUBKAJQBODx2i+pN0LgTiIgAvBOoqtnCwEhUEBABKAIQBGAZjoCbKYjwDoC7C6POgKMHww6Aoxn70UAigB0Z4qOAOPxZFUAagMmBITA9RAQAajYEAJC4NAQEAEoAlAEoAjAaQyIABQBKAKwiIA0AKUB6M4JaQAiASwNQFw7pAF4aNsYvUgIHAsERAAei2FUJ4TAfCCwnwD8F7/xb62yck30foCay/aoj6L4Ox0U/K8uoU5UHOJmwiMGCq7g/bkGCnH3icByQoSt28QEJO+jIHTVw4/arIvXeURQPouxX7UGmqBc2EHh/bxEDA+IgcpKiOLZ9wXbhSDbHDch6B7roZFLGpEjbEZE10ekquH0JrzDG+LzWi00hgiJoHw1wDh5cgeNS3wyZj4JnjDEcayWi+8IIjReuNRBk5F4AzEpd0nA4q1WRp14i3x8r9fHo8fE88bGZcR4sIxt8dbRaSInhgfEe8Ya5eKRrbN1nHftAMf1S7unICZCYm5iRFE9I4Yfzz/9VXjeKWvBb5/YuR9+G07wJQ/WLsF1mykO2pe21+G6ymViXDJxcMdpZ6UaitgvhTg2Z6IOvLNJTAa2xzW4LiPGGMmI5CxierTbQtH+hARFQowByiy4SWx3s2JbusTcY0QMEEJiqhKwdQK7YD4x3rAQb45I7ohSch1zc0pwLqZlzDu5j7+Nd1FX1JyTkqVdfL5fxrY1m3jEsmn4zlUST50htmNjC+dETgwfRsTdZEKMi8oNbB9Zti2q41zZI3mmHxTn9nBMYh2hsxIxd1kkXhSrKebn5y9g7lgN8OatCc5PI8Y4X2qvwjzuEUOWJjEzqpP4rJLx7o+KJhUjYtBC/JMsI3NirYnmS1GIOF0eYf9j5npE3lEmucOI6dETO2gOZmS9X6rg4psTk5alsPhdUCKxU/MxeHoTXAMDYpayOcQEFRODkrXyNYO3qQnIu//9/zSLEZmAzMceSq0UAgeFgAjAg0JSzxECQuCGCIgAvAKRCEARgO5kEQEoAlAEIP6BQgSgCEA3V4oAFAEI66cIQPj+FgF4wy2JLhACJxYBEYAndujVcSFw+AiIABQBOEUgUQUgfqyrAhAwUQWgWaQKQFyoVAEImKgCUBWAblCoAhArWVUBqArAw9/56I1C4OghIALw6I2JWiQEji0CIgBFAIoANNMRYNMRYB0BhnVOR4DJuUAdAYY4UQWgKgBVAVhEQEeAj+22SR0TAncEARGAdwRWPVQICAGGgAhAEYAiAEUATmNAGoDSAHTXCBGAIgDdmJAGoDQA3ZiQBiDqIooA1J5LCAiBW0FABOCtoKVrhYAQuC0E9hOA3/q/FU1Aniyjuv1Gjn/pTojyeqmKMtM+MQEIiHi4Z8VjIk1HrHna4a4jdD39rd9HYfOYmHvkQ2xIOSci7sQEIyfVHwkxqEgWUTw6I2L0i000C1krofB2SoT847TY5vYYRacvtIhwNhmvqIkfsAFp72oZNz9D0n9Dbw+bDFGhv9uqQPzGbbyOtaUUkRhjBgJxsW9+Bfu63UHsoj1i0BHjEaY4xnaUB3hdyPrVw3d4HpIOxAPCug9gjJ06g7p9uymKlndGOFf8oKj3lhDXjpT8VrvM+oBpqX8fYvJMYirzgspX4GYm+P+FLpqP7AwxngaOGcX04RttNDwobxIdzAzbnDpePiHhiBaqePzxOaUt6Ne9/i78VjY0C/nb7r1wXY/kwGG3aAAwvckj85OZL4UVfG8UYz88D69rEXeHDWcsej2Mw7iHuZjh6UzhGRYZek9ZXsHx8sn8DBK8LiAmCyUi7t/rIMY5MwvpY2CEbfwtc9bKiJgqlYgZS42YjETdCOIkJA4qLLfZCNvWLyFOHZIDOzneO1nF2CHLmA2IOYzhNLbcMfkKCb4ZaS8JYVvYw/bWybfIOjHkahDjic4QY3tETHryDvkIIl9wIYlF4jVm1RqZs87kzlPMzwkxcjHS/7iMa2V3hDE2IgZCfhXXpyExJPFJ7FSJUddwDzEek9jOyXz3BiTPOPfG5FnLDTQU6Q9w/lNTFdIHc9bY6dAH++Z2v7dpf/yhfzWLCJmA3NbWRjcLgblDQATg3A2ZGiwE5hcBEYBXxk4EoAhAdxaLAMRNkwhAMxGAIgDdXCECUASgGxMiAEUAws5ABOD8bpbUciFwhxEQAXiHAdbjhYAQuIaACEARgFMEVAGoCkBVAKoCEEhwVQDC54IqAElVoCoAIU5EAIoAFAGo3ZYQEAI3i4AIwJtFStcJASFw2wiIABQBKALQTEeAzUQAigAUAVhEQEeAdQTYnRM6AqwjwG5M6AjwbW9F9AAhcOIREAF44kNAAAiBw0NABKAIQBGAIgCnMSACUASgCEARgPsRkAYgavSKABQBKALw8PYoepMQOCkIiAA8KSOtfgqBI4DAfgLwmf/rv7doZe1qq2rLRAA5xI+/vQQVu6s1PP6ReKgp1iijW0TJETfvEcOC/hBNDIIcqxUqPraj20ExaaLrbQH9sy5qHSVDJA5sAXWyGkRQuhph/ytEZP9yBw1ZxoPiWOQpMY9gOOEQ2uICjvUwwQt9r2gUMQ2WHCG2jJiADPZwzLwRMfwgDgVEi9wqhm0J+xhjuaOePiHmLkzDP2GGAkyM30P9RK+P/cqIELlHVPGJZ4UlZ/Ad8RqCnJVxDrQGGO+ZYawEjqlKMiSGAmS8YmJ4MrgHk9v9912GH9eiDvxWIgHVHWMfmKD8E70leN7OBrpFxB3sf9zDeBqs4TiG54pzZT1AkiAk5ha1ISaUc0EL2jvJMIb/fgsB9do4PhGJT5bbIiLQv9hE86Gc5M+qj0ZAf3P5HPRjuFMUy4+J8UJETFa8Jo5NCcPfIhwuSxaI+U4T50lOTEAmJLY9kmP6LWK0MiDx1MLfyPBY4GDAjLEqFUyyJZLvq7sYE8QXwyok/v0RYtdtYB8263jdJllTOhWM9wkxn2CmTzkqMljuLh9k/FnujDCsbflxvLlEcmJE+l8iObZKxp8Z7fhDxC5CrxQLJ8SkhphDebikWhAVx4zNncAxWptO3gn6u1nCjnYT3En3jXTLyFJptT721VvEuCNNsTHeagn5HvHIb5EzFiGmemO/5eRzLyF5jHieWQ+9p8z2GcsNRxv2yCPfM8ulMgE5AhskNUEIHCICIgAPEWy9SgicdAREAF6JABGAIgDdXCACUASgCEDcOYsAFAHo5koRgEhYiQDEr2sRgGTHIQLwpG/D1H8hMENABKACQQgIgUNDQASgCMApAqoAxCknAlAEoAhAEYBuZlAFoCoA3ZhQBSCun6oARExUAXhoWxu9SAjMHQIiAOduyNRgITC/CIgAFAEoAtBMR4DNdARYR4DdlUxHgDEmRACKABQBWERAR4BxTugI8Pzui9RyIXA3EBABeDdQ1zuFwAlFQASgCEARgCIApzEgAlAEoAjAIgLSAJQGoDsnpAGIH8siAEUAntAtlLotBA4MARGABwalHiQEhMCNENhPAD7wW79n0crq1VvOre7A7Z0Axfi3MqIeTUTBUx/F7cMQN92u6YdPhJ5jDwXG4xx/I54VlibYjhExPPCIYDn7LawTwxMiFF2voc7eerkNGO8MUAH9wtYC+eou9sPfpyXz1MX1Bh7EWSyhQck4xQb3h6h1dWZhD9rRHxFjmA7eOyEmGGGO458OsC2VNo5ZdYSb0zIR+3YbPCaq+OM6toNonZsRY5haFU0GWJVQRgw/0giDO1/Cl1RX8R3lJo7jboaGPENiBOM5xigzjDpF3CNiFJDjMNjoFGlvE+Pu3ibGzjPiLYiniMzjJ4do7vFY61queuoh7T2cO2EHGx2Q82kpEdTvn8a+ffO5LxXa3B8g5r1dzIlJC1/wzHAX5/8Y7z2/if0PiWnF4ioadJQdU6XpC2sVBCCMcPJsJziP8wxnxhe/ds086qkOBTtFVX2crWYk/K1EfqwOiWkNWRiSGrat0sS86+XoKtIieWy3hWPrd9AtgCxRlhOjhYC4gLiGNCExFCgH2K96C/PkMpmzBBIjy5N5KfZi5wwuO5tNbMsuMb1pkfHJeyRnE/OdfIEYWjmGHJOA5E5iPhUS85mlx4iBlE9MW4gZRZWYRdQxFVtI8GTGYiExX3ENKmajEOOLffwcM3c5qg/ISlbGZ/VXsP8TcuuYGJkMiEnPhGBCoLMGMeQJFklfyXUJyeN9ksczsm5HDu4xeX5MxrB7D64nCTEyGZG4bi+Q3LGvbaPxhn3yH/7b2XDLBORGuxf9uxA4XgiIADxe46neCIEjjYAIwCvDIwJQBKA7UUUAEidGEYAmAlAEoJsrRABiYhABSJx8CRElApDgJAJQBOCR3jmpcULg4BEQAXjwmOqJQkAIXAcBEYAiAKcIqAJQFYCqAMQkqQpAVQC6UaEKQFUAujGhCkDMnaoAxHmiCkBtxYSAELgeAiIAFRtCQAgcGgIiAEUAigA00xFgHQHWEWAdAXYXXh0Bxk8RHQFGTEQAigB0EdAR4EPbxuhFQuBYICAC8FgMozohBOYDARGAIgBFAIoAnM0CaQBC0lYFoCoAVQFYREAEoAhAFwFpAOIxZhGA87EHUiuFwFFBQATgURkJtUMInAAE9hOAz/ud37bS6srVXqcV1ABbqPcBlUGAJhA9D9Wpx8QEZJyh9lyWF4WSqz6qSUfEPKJChN17E9zADsfY3pSYYEw2UQDeq6OIz33raJbyeA9NO2oNFKOvBqhavtlFE4DuHuLpjYvjE0fYtmUi9r8aYTvaI+xrixgZGBN29/Djl/gEWECMW5ZK2Jb/n703D7YsrasFf3s887lzZlZVFlZRCIXyVBR5ICqOEQiobT3s1n/0oS3i0OEUYhgaaoQEjTwM+kmDBM9ARRsagXAE0Wh9zRAND1EUhKKkJqrI6Y7nnvmcvffZHfuklXn3t1ZSmZW3Mu+w7j9Vue8evm99v29a9/etNSLtM95Fc4cGEbyvk2uuVvxkFRXLK1USY0SxvdNHnGbEfMUjpiVTgt2khdjFxPCj0sYytxcxdnYzLN+oQ+KYjG3xVrnfsbJFq9hezRqWo59hH6sTk4mFGN9X8zAT7YEOmkxkD2NMxESMPWljZWfEpCglzgjeCqrMP3Vxo/TCs1vL8AHW/t4uCsA3PWzXYRf7ejDEZ8NljNk7iNFKm/SxoY8AjAP8xoO7aD4y7qHKvu8YfhSA+A504RRjvUrMA0LiKVUbEguRKjm2H+IYmBIzDp8YITEn093zpDAJliUlxiUZMdoJmVGVYyoSEpORZh/b5sQu4tmOsGwxdhNqAjJt4vsGJ7Evdolh0mYH59kRMW6JSJmrpH2SVWJS0Sq37TQjBlLnSSfuE8LuDF6LiOhr2EQ8Kw2Cex/vI6FocZ8qy0JhmFlGTAyuggYpnxMD9YRo7JFijIjxypDE9YS0Kxl2LR3hd/2ArCmJqUhAzFeMmL546Ctl4xi/MSOAur46ZPizkIxPoyUEb0Lav0/Guz7R0N37ielk3T7zSZmAHIOtl6ooBHDdmOc50xMWVEJACAiBfUdABOBFSEUAigB0O1ckAhDGGxGAZiIARQC6HUMEoAhANyZEAIoAdGNCBOC+b2H0QiFwZBBQBuCRaUpVRAgcfAREAIoALBBQBqAyAJUBiOO1MgCVAQhRoQxAgEQZgMoABFJcGYDQT0QAHvw9kUooBG4WAiIAbxby+q4QOIYIiAAUASgC0ExHgM1EAIoAdBHQEWAdAXZjQkeAdQTYjQkdAUYCWEeAj+GGSlUWAteBgAjA6wBPjwoBIXBtCIgAFAEoAlAEYBEDIgBFAIoALCMgDUBpALp9QhqASHaJABQBeG07D90tBISAi4AIQMWEEBACNwyBvQTg1721bAIyqaJicbuFJiAdD1XGdzK8NkhRO6pJzBcWo7J6/EKARgHnemiykSVY3uEQv1mv4KaGaDNbnuHV29tdaJs4QqXoXUNNpD6VXkfR+vXdJnwjHaOKdcNRBY89FKdORij2HxPR9TwhKtkzXNTmKd6XT/BaVsd61RpoFpFlRNyffDfbQWOEGlHtD0ndPMcsoN3AePKI9O5gjLEzHRPTGlLelBiDJDWMkylTJ8eqmk+E56vEkKYRExOEs6jv6BPcZ45JiX8KcTpFTCa2M4z1XWK+w0xAEtLHBgMEIDqPbdHYwUycrI7xlC0gJgtkHJsSgfqghkfD47B87dHzl42THuu4ITEeiDo4ngRM2L+GF3MSJ6utAYwTITGaua21A/edSRfh2uYEx+xsC9s2JIL3zNxh5ojx+6Sr14kpxAxPHVsQ4thW8bE/zQieoyHiPiGGAiPDcczfxWeJX5SNljHG6nXsPzP0lLHhdjm2g00cs5e3ELw1Yu6wSAwQIjJ2GJnwhgvYn7pLxBjEQ5xSciw6I2rmBBKrkzYbk7L0HU3WPk4nNiFmNDNiDNU4i0uskJS3QvCsYJcwsoyha7iwhx9JyXhPwp2sKMwqFWL64pi51El/DSZYjj56GRlZPtgEh0QbkzkwIUYjrvFGAVKF4B7Wr864JET/NfNJXGQEY3PmCjL8G1Pkn7Kxg5iFdMlaZITDhO31citMQO79hExAbtgGSB8SAgcIARGAB6gxVBQhcNQREAF4sYVFAIoAdPu6CEARgCIARQC644IIQBGAbkyIAEQiUgQgkpgiAI/6jkr1EwJPHAERgE8cOz0pBITANSIgAlAEYIGAMgBJposyAGE0UQagmTIAcbOvDEBlAAJRqgxAGD+VAYgLVGUAXsZEGYDXuIHR7ULgCCEgAvAINaaqIgQOOgIiAEUAigA00xFgMx0BRmJLGYDKAFQGYBmBgY4Aw7JOGYDKAHSDQkeAD/ruR+UTAgcLARGAB6s9VBohcKQR2EsAvvC/vdGqq5f1rLpE7CZsoGDProcaY2MPdYwaMYrHBEQnZeqcseoM8f3JCA/tekR0KB2hZltANFwWiT5dSE7F3tboQTwsVIimXIQZIZ8bnoBnJxl+pDdE7BhBtRSXBaWmU3wunWD9ax6WbdTDjb5H9P4qLaLjR8RziLSbRVUUyumPUNstPIfXakQrLG8SUbFljM+6o5VYD7Ec3SHWPyV6fzn5ZKONupiejxjnBPetBGN76pGYRUgsTLEP1AYYT+1zOISN1/Cat1Dun9UWCpYttnbhwQE5QH9hjDqWwwlWIt1CcabqEEFubjGBLrwvXcO2PdlCQb6UaCCOZohnXEUMYr8cYw+fXwVMgi6+y5EOnD9Tb+D7b2+gZl+aY7uejLEtNrMWlGVsiPvmBNtnOsA+UO3idyOisRURFwA33DOiVzarknatoXhYSPRNF0MsSDDF93U6ZP5guqUkJkj3tITok9WXMcbqRLu2M8C26Gw55dvGcXxxSNqfaIoS+USrhTgWDWb4jX6M3+gSLT6mlWlEA47psTZJ366kRBcvxhjIovL41OnhODnuYR1m5FrUwbGDwGRBG8tRnZA/FBANuAlCbBl5lnRtsxZ+t0XaG3u7WdVpC5+sMZj0blDH9ZlH5soOmbNHREM4rOJcPBojKKx8JxZQ33SaYHuPiMazx8pCtFFrDp6hj5hPCXbNBs732ymWjcjA2i7TvJ1eniuS4YZ97v3/83wMf/TRR+306dNHev+hygkBIXAZARGAigYhIARuGAIiAC9CLQJQBKDb6UQAigAUASgC0B0XRABenXGTCEBcxokAFAHoRsVABOAN2+/oQ0LgICMgAvAgt47KJgSOGAIiAEUAFggoA1AZgMoAVAagO70pAxAnfBGAIgDdqAiUAQgdRRmAOHYoA/CIbaBUHSGwjwiIANxHMPUqISAEvjQCIgBFAIoANNMRYDMRgCIARQCWEdARYDyeqyPAOgLsjhM6AqwjwNprCQEhcH0IiAC8Pvz0tBAQAteAgAhAEYAiAEUAFjEgAlAEoAhAEYB7EZAGoDQA3TFBGoDSALyGLYZuFQJC4CoREAF4lUDpNiEgBK4fgb0E4Iv+23+1+urypZc+6F3+/8cuDiu4SU6JW0azSpTiiXtgLUCh6EZY1h4701/EiiYkM4EYg/R2UAA+JAYdJ5dQdNr3Uf/qlgZKO3vEBKM7wyOlG+M61CMhatxejpuO03U0Bojz8rmj9eECvD+cIU4jIvY/7RINQOJ4UVtCXTi/hiLzSYRZEmPS/iMiih9vMQMFfF/ewu82mihkXquUY2yYoA7RlAibm4fY+RU86/WM5fOAe+RhOS4kDbivmyHunRTjZDrG+xq7iBPRcbeYHE+zk9g/282ymc2U9JOntNBR5N8m6ChyYYjy9JNN7IuNTezaEYa/YX6FWbqC7XNqBY0xMmJm0yNi9L0+YhzXEKfQ6Z9DYqATz7AS2Fpmtzc7AEArxLHozLgN9wUkPrfHGGMTYg4UEAMFZm5QIW0RkMYg+vkWDMrtM21gH54QkwWviv267hhAFGAECb5v1se+HRADDTK0gwt28Y2oje0/8vC77RaaQ+0Sk56zHTRfyTbLxiDVCYlr4rzyHxsbEBOxY6BV3JD7WN77ZxhPZxMcd4ZVfHbaxKDwyFwRkbmnYTgY1RN834Ih7mPH0GtC5vtkRIyBRkTHMscYmxHTp5iYlHnMQSPEOuQR1hWpI7MJMYZYa6Cx2GqIa6WMrClmg7KxUkDK1m5iSdoVHHdyw3qdHeHY3iNjzEoN+0RG4iQmg8ftETNCwoGnQ+bUQYLGUh5xWmk6a88qWYt6xHwoI9d2M6JtSEyKZh7GxE52ubzD/pb9+R//5LxfywTk+vc3eoMQOEwIiAA8TK2lsgqBQ46ACMCLDSgCUAQgdGURgACJCEAzEYA46YkAFAHoRoUIQBGAbkyIABQBeMi3TCq+EHjSEBAB+KRBqxcLASHgIiACUARggYAyAMtZOPOoEAEoAlAZgBADygBUBqAbFMoAVAagGxPKAMQsVmUAag8mBITAlRAQAajYEAJC4IYhIAJQBKAIQDMdATbTEWAdAXYnHh0B1hFgNyZ0BJi4IOsIMKxZRQCKALxhGxl9SAgcAQREAB6BRlQVhMBhQUAEoAhAEYAiAIsYEAEoAlAEYBkBaQBKAxCyHaUBCMtbaQBKA/Cw7HlUTiFwUBEQAXhQW0blEgJHEIG9BODX/dc/sMrK6qVadmI8Fkn8CWyxjYLVdzRR3f/RyQogeFsVRfBnztHLs2M0t2hkaEZhYxRPX++h2Hlvihv9Zh0FtkPUkrY4xm80HJOJopLniQmCEUHxmIii94eIe4MISmdZWdw8zLFslqAAejJEMe18ivf5Pr4vrBPDjwoR9yfGMKMJLpKNbKZCH3VyKsRUIZ8SWwVyKa6X3zcmJiBGjCIaSyiUvlJHE5gvq65DXHdSDJ77eifhvs0emjawNqv1sX2qU2yffAkHqWYT+8pt9S7cmDn9zg8wg4EJoP9r9xS8a7KN9a/0ME6qQzw6ly1gXW0FY+KOBRw71gLUYmN9sU9E6zc7aIKQYbibOdcCEsNM2L5KTAFaEbZNOkOcuhOi0UmOqA86aLQSTfB90ZRcI/MbywAkXdtycoI+jcrxOVtGY5wwxnF3Rpo/IyL+yQ7GWLOLD9fIOLa4iHPWM1sXAIE0wAD4FJnHtmc48KzvYN/2O2zMKveBVoz97ukxxvoLKg9DeQcZmox8IcV591MDNO4ZJDgvpCTZLW2QeYbEjk8MJE5U0WiiQsaxpQzjInEMo4gvjI36GIg+hp1V3U5sZsmYtA2ZFwIieJmSvpiT2N5OEeOI3Pfs9hcB0YUAx8D1Mc4pW93yJBCR8rarGP9LMc5tKyGOp1Ni5OETPGsexvGZBCeohBhonCTf7bLFJ4m7XopjYJsEQeyYeTTIfNefYTyNyFi0Reb7GcG9HuKaYjC7HBOD/pa964/+t3mtZAJyBDdcqpIQ+BIIiABUeAgBIXDDEBABeBFqEYAiAN1OJwJQBKAIQJyKRAAioSYCEONEBCCSmCIARQC6PUUE4A3b7uhDQuBAIyAC8EA3jwonBI4WAiIARQAWCCgDEAlQEYAiAEUAigB0EVAGoDIA3ZhQBiBmyioDELPblQF4tPZPqo0Q2E8ERADuJ5p6lxAQAl8SARGAIgBFAJrpCLCZjgDrCLA7WegIsI4AA9mlI8CwphIBKALQDQodAdbmSwgIgWtBQATgtaCle4WAELguBEQAigAUASgCsIgBEYAiAEUAlhGQBiAuL6QBiJldIgBFAIoAvK6tiB4WAsceARGAxz4EBIAQuHEI7CUA/8Nv/V8WL18WBx81UAE8b+HxnzvW0PCjWUFx+8/0boOKLdVQFLnmCOMPUxRibqYoYp0NsLwbXRRFZ+h6VXw2raIo+MBQeL5axcXvJMNnqx6KeC96WI8BMQEZjYmBhmMWEBHR9ZyI/ccJtuFsQo7AVlE9feBjObpjFN02x6CkwDwhmSN+Hb+xFGDsTAf43ToxVTAC0/a4TOzELdRmqlawbepEjN/zsK3Xwl0IqfMTNJ9ZH2Es9rbRKCDqE+X9GraZX8eNaJO0Wc0ROy8Ke2sNTQW2RuV23Jliv2MGmLsLlhYHAAAgAElEQVTOc8X7422M/5CZlpB+l60hxqstHCfaPh5RbhrGU3eMBhoJcTc4s4VtlvexHpmTFndyCQ1VPGLkMSEmODUfY3FMzBgmzKChi/WKyBhIPHXMI34HZGgzv4JxF5Bn8ya2WSUq1y0iBcmJUP72FMfYhNS/Tgw1asRAZHEZx5MTJE6eXkMzn10C1Ie2cB7rThCU4Dxe80eI53SxPHwsL6LxQkRMkIjvhLG5cpzioOh1yECJ3cnINGbTFo47foTtH/p4Lc7JXEnMXFYrWJjFpPzdcID4znrEjRW7mC3UiIkYGRNCYtzF6oWzuFnXw3H80R7OlX4NC7hcx/HOM6xvSsbealq+j43/p5oYY7dVtmEeWwtxntidYf+8kLTg2dSwMw4SfHY1wLreEe3A+84lTkcxswaZAy64HWr+F05si5ZjrFYn7zozxTmBhJMlhu+vhxgVNbK2+eL0ssndsL9lf/6OV8zrLhOQG7cP0peEwEFAQATgQWgFlUEIHBMERABebGgRgCIA3S4vAlAEoAhAEYDuuCACUASgGxMiAEUAwvpBBOAx2UWpmkJgfxAQAbg/OOotQkAIXAUCIgBFABYIKANQGYDKAFQGoDtlKAMQs65EAIoAFAFYRkAZgMoAvIrthm4RAkLgSyAgAlDhIQSEwA1DQASgCEARgGY6AmwmAlAEoAjAMgI6AoxLER0BxmPMygBUBqAyAG/YtkUfEgJHEgERgEeyWVUpIXAwERABKAJQBKAIwCIGRACKABQBKAJwLwLSAMQj8NIAlAagO05KA/Bg7m9UKiFwmBAQAXiYWktlFQKHHIG9BOB//K23W2Vp9VKNVk6iEPN2nYg4L6AI/v3TE4BMN0XR+iUidh0G5b+wN3wU7K4lKPY/7oXwzXSE2naVAI979iKs16OzZXhf3MK//jdrxCwjwbreGqNZxF2GwvPjEWqvPTK43C6PFWrHMbfIElLXHI9rLc4Qz/4A658TQf1ehvXKMsSdaG5b0sayrC6gGHlAzCJ2O+jQWqtiO1bqeG07LT976xoKmy9XsRwjUq+JI7BetMU4xfp/sX9Z2Pux9kq3ELsKhoSlxHwnvI0YGVQHEJ8nI7z2hR2MnWpA+s+0fNxxhwjWMxOQgPQ7oldvaZNsppewHMvEQCie4bOZU94CjIiYDGx10GglJ4Y50zG2I/GyMT8ux9jTFtEEKSFl2xqgCcyEmPvMJliOaAePotZ2EBM2HaVYfctqeGRtRrx88gUc76qk3y3FmAPV65fjnTSN+c5YX5S/M8KxKBggJsSfxOJF7P/fsHwGYFnLsT9lZNB6NMXMpn989CTOM30cLGcY2pbF2GYLy/3S+05UcD794gDHE2ZuE2yjCUZExlPzsf2JV5CxNkurOI4bMXOxHOuajzGOKyMsS5U8u+iYIzWdfliAGPeIGQsxwvKIg0pAulNATEC8Glk/kNjZJhh3Rli+SQPfl5CxKPCxgHViyLM4Lsdik2AZV7Bfz0hdm0006BjMiBkJMcGIiQnMkMwpa3Xsi9+2+HnoY/cO0XxnQsrSJUYj9ZB0RucLEzLfe6QOQYA2IGy9s0Dm4m6Ga7sL08sD9GiwaX//Jz88L5lMQA755krFFwLXiIAIwGsETLcLASHwxBEQAXgROxGAIgDdXiQCEBkhEYAmAlAEoAhAFwERgBATIgCRZBQBKALwie9W9KQQONoIiAA82u2r2gmBA4WACEARgAUCygBUBuBYGYAwNisDUBmAblAoA1AZgG5M9JQBCGOnMgAxG18ZgAdq+6PCCIEDhYAIwAPVHCqMEDjaCIgAFAEoAtBMR4DNRADqCLA72+kIsI4AuzGhI8A6AgwxoSPAsFHQEeCjvXdS7YTAfiMgAnC/EdX7hIAQuCICIgBFAIoAFAFYxIAIQBGAIgDLCEgDEJcOIgBFAIoALCMgDUBtsoSAELheBEQAXi+Cel4ICIGrRmAvAfji1/+u1ZdXLj2bLeNCN1vA4z9MKPqfRk+BMvQT1D9pN4jBR1gWWW76KDAfTvFo2jYxigimWN7EQxHrcyk6gCaGgurtW7AstTqKQvfHqKlXN7yvnU0Ap8kAvzsaI3YjR2S/3SZly7ENUyJEnicoxD6c4DezKZIkM/S2sPbJsrB9UcmcqKzHHomxCbZPr494znK8z8MiW9B0TBvW0Hilk6HeXZ6h6PqAGDR0pwhAv4umJZUuGgVMl/AbtWVsx6UY+0mVGFkYEekbjLF8PhGG74/KcTfpEzDJ+4Mhxg6rV7CGsd6MsU+sRCg8PyKxOJ1gP5mlWJbBDrbtjJgA5BExGmGZLfWyoPypGpo2dImRRWeXuGww454d7GOtCziO5TEx8iCmAD6J4yzCZycreM3WUDy/EWGfXQwwZi9sOmMqqRc5TGppA68GU+w7ITHUONnG2HlGfQvG2DTD2Dk7xmy/C7vYj2fnEGTibWHT2tUdlV1ulY8K+gE+d54YyFgH61C/gPNiTtp6dALxzMl3w12MCR8hNsOuTcf7aIjfJf4xVsNq2KIzpdRIf62RsSgm5Q0T7OvkdZZXyHiyiO1DYLItD5/tknoNsRnNH+CzxLvMcFY0Wx6V69ao4rsqJDRn2K1tSEAZkPk+JfcFZIxtETOjag3borGAAZXt4nyUkjGA+EVZTsZxc9c8xCdkSpyG2FqJkeJML5dAbMmeG6ejdfv0f79nPl7JBOSqtzG6UQgcCQREAB6JZlQlhMDhQEAE4MV2EgEoAhCyn0QA4iAmAtBiEYAQFyIAsauIACQkmwhACBQRgCIAHwsKEYCHY9+kUgqBJwMBEYBPBqp6pxAQAhQBEYAiAOfZecoAhP6hDEBlAGbKAIR+oQxAZQBCUCgDECBRBiASe8oAxGW4MgC1ORMCQqBAQASg4kAIHEIENjc37W1ve5v9+Z//uT3wwAO2s7NjKysrdvvtt9s3f/M32z333GPPf/7zv2TNPvCBD9hb3/pW+/jHP24bGxu2trZmz33uc+0Vr3iFvehFL3pSUBEBKAJQBKCZjgCb6QiwjgDDJKMjwACJjgCTpYgIQBGADgI6Aoz9REeAn5RtjF4qBI4EAiIAj0QzqhLHCYF3v/vd9hM/8RO2tYVaQ4/h8L3f+732Z3/2ZxSWPM/tla985Zz8u9JPQQK+5S1vMY/oylwP1iIARQCKABQBWMSACEARgCIAywhIA1AagG6fGEgDEIYJaQCiqKI0AK9nZ6JnhcDxQ0AE4PFrc9X4ECPw9re/3V7+8pfbbDazEydOzInAb/zGb7Tl5WU7f/78PBvwL//yL21hYcEKopD9/Mqv/Iq95jWvmf/q2c9+tr3qVa+yu+66a/7s6173OvvkJz85/11x36tf/ep9RWsvAfgSxwSkt4SC3cM2bghOtXegTJ/oExMQIqjeWkGF7hP1Xul9TQ8F5scjFMrf7DShHF6Km/ocq2VbWQOenRHx7NtPdeA+9uygh4L/7SrWIxhj+UZdPHrpzYjgf1I+inZqZRfK1vDQZOFcBw1PpkRgOxgQoIjJQFbHOqydwrIMcmyzaoDlY+YjY8egYk5akoast1DJu1Iv/939a1a+ADjdP16Da4/sLMK1jPwJf7KNUuw1DBNLFrENl5+Ofee2GmI3TFF5fXeEMdvrYtx5xBgjHxNThZ3yNW9KCDEiip8SJXr/NDGkIYYflQBV8dMMy5Y4sV40zGiI/STvoaJ+MELc0wX8buDESfGNKflutVFOd2oTg5ZzW9jHbICdp7qJda13cDNZ62I/ma6S+pMuS4YOS8nYlixje4cN7E8LMaZ7kWa0zk7ZQCPYxvqnxCjjljXsPDsjNOMISMWWSIw9rbUB/biT4vv+7ZGTOH/sYOwkRBu0dyu2meeTa8R8p+KUeTAhLgskdoIxli0a4DcnCxgUkyW8zyemQuEFbLOQjG1Rl5hWEFOFuIffrUzIHN3C7zad97n/LhqvPiC6g2TMDsgfUqtDfJb1k51TWIcOed8ukQ8gzWOjkPQ7gmdIcGJmHq4PTo2YBVWJCUiOPlPWJwYlE2JkkhNTFY+Yzyw4BiVFm7XJmoLYJVlll5ivnCJjCikfmVLMXXt5JIt1RNa7M+Iy4hHsWLbfEJeoNtszVU6n6/Yvn/q++TgkE5B93eroZULgwCMgAvDAN5EKKAQuInDvvffOCbvJZGLf9E3fdInoY/hMp1OLY9yw3X///fbMZz7T0jS15zznOfahD33IarXLy5/hcGgvfOEL7ROf+ISFYWif+9zn5uTgfv2IALyIpAhAjE0RgCIA3XEmEwFoIgBFALr9QgSgCEA3JkQAYkyIAMSVuwjA/drN6D1C4HAjIALwcLefSn+MEPiO7/gO+7u/+ztbXV2dk4HFf6/156d+6qfszW9+8/yxj370o/a85z0PXvGxj33skn7gT//0T9sb3/jGa/3MFe8XASgCsEBAGYDKAAyVAQjjpDIAlQHoBoUyAHE5oQxAJLtEAIoAdHuKMgD3beuiFwmBI4eACMAj16Sq0FFEoMjEKzL3ip/f+I3fsF//9V+/5moW2n+FSciZM2fs7rvvnpOIV/opfn/ffffZ6dOn7ZFHHtk3LUARgCIARQCa6QiwmQhAPLQlAlAEoAjAMgI6AqwjwG6f0BFgXLnrCPA1b4n0gBA41giIADzWza/KHxYEfvM3f9N+7dd+bV7cz3zmM/YVX/EV8/8v3H8LR+BCA7BwAf5SPw8++OCl47w//uM/Pjf5uNJP8fvHTEKK5+688859gUoEoAhAEYAiAIsYEAEoAtCdVKQBKA1AiAlpAMLaSxqAqGMoDUBcoisDcF+2LXqJEDiSCIgAPJLNqkodNQRe8pKX2Pvf//65uUdB+r3jHe+YG3Z86lOfulTVgqT74R/+YfuFX/gFazZR/fd973ufvfSlL53f/4Y3vMF+9md/9oowFb//+Z//+fnvi+de/OIX7wukewnAl77hTVZfvkxabiyiGPl6BeWZiT+B7U7QGSCbomDzU0+hQPs0K98X5ajqPBnju87vtACTGfkz7FKTmHHE+Ff9UYC6eNUmvnBnioLyM2JaUW+gUnSYkO8SE5CFOj67Vu+X6js1xKRDxPNHpGzpENW+PSKmHcVY/3YNNcGW6wNoiw0ivJ8Qde7BGHGfJShk33LMGIoP1mtollCvlbOY2lU0nukSJ4uHtlEDcLyJcR1MkCTIq0TYfhkBPbFSNrwp6rBUwfiskMZYH6LRRL+P5fPWEc8KMSx3DQQmTcR8dArrVV/C2Fwl7X+muwAx0azhs/2ExCJ+1pgxjBFzE0PvGYsaGCcLDcR9c4hGK1G1/CzxdbDkCzgmxB2sRNzH/p/HiHtEjCc8YjLgE4H6/mmMz6xOTCCYacUQx5S4gtgZsbx0DVl8Ygphi/iupy5hcK73cWxPJ9iwManDSWecLILwCx3s23YG+0mC0BmZ2ixZw8oFEfb3hJQ5d9ox3MF6BcRkISMmCzNi2jBtkM7TwnE8HxIdv12Mxep5MhafIYYnxGjCJ3MKi+NZC8tSd6aZBjHtINO4GTHBiEks+gSmpIIXu2tYiZ6zZilibEz6BJnajHRtq2wTYxAcnszLEafQ6VJkOrGIjBM+MZXJiGnHiOjAkmY1n8TiMjHLIF3HGgSUgJig9OpkjiJGSCPiKgIIk7UiMw/xiHGbkXia4nBiI+LvY93L02JhAvKZz8oEZF82N3qJEDhkCIgAPGQNpuIeTwQKcu/hhx+2r/7qr567/r7pTW+6IhDPetaz7G/+5m/s1ltvLd1TZPwVrsHFT+EQ/LKXveyK73jPe95j3//93z//ffFckRF4NT8Fwfelfs6dO2fPfe5z57eIACwjJQIQI0cEoAhANypEAGI/EQFoJgJQBKDbM0QA4lghAhAxEQEoF+Cr2d/oHiFwlBAQAXiUWlN1ObIIFJl/3W7XKpXK3AV4cXHRXvva19o999xj7XbbPv3pT8+PCP/1X//1HINv+IZvsA9/+MPm+5f/PPlf/st/sVe96lXz3xf3vehFL7oiXsXvH8v6e/3rXz/PKryaH88jKQxXeFAEoAjAvQgoA1AZgO5QoQxAM2UAKgPQ7RfKAFQGoBsTygDEhaYyAMniWxmAV7OV0T1C4MgjIALwyDexKngUEAjD0LLs4l/4gyCwj3zkI+DgO5vN5kd8HyMB3Sy/vTqChZvwt33bt10Rmr//+7+3b//2b5//vnjuV3/1V68KRhGACJOOAOPZHB0Bxsw+HQHWEWAdAdYRYHcG0RFgHQF2Y0JHgHGdpSPAiImOAF/VtkU3CYFjiYAIwGPZ7Kr0YUOg0PQbDC7qnP3AD/yAvfOd76RVKAxCiiPAxU+RHfje97730n03IgNQR4BFALoISANQGoDSAJQGoDsu+NIAhMlCGoDSAHSDQhqARFOUrH5FAIoAPGz7OpVXCNxMBEQA3kz09W0hcJUI3HLLLXb+/Pn53X/4h39oP/RDP3TFJ0+fPm1nzpyx22+/3R555JFL990IDcDHq85eE5AX/PbvW3V59dIjWwuYKbYTobJxRIwxTjTR3GBnikrM9QDVk3fH5ftCYgLSG2A5htuosFxtokHFU9poYzgLcFG7PUPjlmmAGTGTCX7XT4kStRGnvAB1okJy9rZCzDfCsHzsapShePxkFzPbjCh2+3VUwK5HSJI0SXuFxAWh5iqRm1kvQ5wmRDzd8xCnhNzXqqKi+FINldLdtvUCPK52YYJtfWEDjQdywgg0mliOzCebJB9jZ7WNZil3NNAEgR3k/6fzXwbdOzyH/WLhIWzHPMD4TBrla8PbsR1OruzCN8cT/CaL/uEEx5N2E8nYjT4abyTEBMYLMZBnM/yyH2E9ghCvNYmpTHeKMZu6wvvEtKHxCOnrxMjBI0YJrK19Ek95lcQYhrHNiMp+TswDyFBkHjG48aYE4wlp8aCMAWkaqy5g37m9iePzhQEa3ox2sW1YHYyI+6d9HCvzAeI5bmE7pm2MOzZ+Eogt3cIyR475AhmebEbMA1JibJDUsLyzKpY3IEAxTKrrOGbViEFFtYvfZXp/1AiGAJVcXoZcGm/qztBztYYfHjGjCEhM5E68Fh9OYqzXiGCcEFMysiywlBhDkK5tjXUyZuFQaQnDzhlngh1cBZJp3OIuxr9PTEDGDTJCkUs1gvEJYpZxKzHVqBCjkZyMn8RDybbqWJg+wT112tsnc/uMzBMRwTMhyyziH0U9qvLO5fIm03W7/5//p3mDPfroo1bsHfQjBITA8UBABODxaGfV8pAjUBhn/MM//MO8Fo93fPf5z3++fexjH5vrBY7Hlzc8f/VXf2Xf/d3fPX/HQXABFgFYDkoRgCIA3WFKBKAIQBGAIgDdcUEEoAhANyZEAOIiXwQgYiIC8JBvBlV8IbBPCIgA3Ccg9Roh8GQi8PKXv9z+4A/+YP6Jv/3bv7Xv/M7vvOLnHiMLG42G9fv9S/c9+OCDdtddd83/Xbj6FhmBV/opfv/Wt751/uviucKFeD9+lAF4EUVlACoD0O1PygBUBqAyADGbRhmAygB0x0plAJKTASxrUxmAsGxVBqAyAPdjL6N3CIHDjoAIwMPegir/sUDg93//9+1HfuRH5nX93d/9XXvlK195xXqvrq7a1taWPf3pT7f77rvv0n15ns9T/M+ePWt333233XvvvVd8xzOf+Uz73Oc+Z7fddtv8aMC1mHt8qQYRASgCsEBAR4B1BFhHgFEuQASgCEB3/tQRYPzDgAhAEYBuP9ERYFx5j4lSgjIAj8WWUZUUAo+LgAjAx4VINwiBm49AQegVOoBJksyz/4osQPbzwQ9+0L7lW75l/qsf/dEftd/7vd8r3faTP/mTcwKx+PnoRz8KTsLF9eL4cHGMuPgp7n/Tm960bwCIABQBKALQTBqAZiIARQC6E4s0AKUBCMSONABh/SUNQFySigAUAbhvGxW9SAgcAwREAB6DRlYVjwYCe8m7wgW4cAPe+9Pr9eybv/mb7Z//+Z/nlz/+8Y/b13/915fu+bd/+zf7yq/8SkvT1J7znOfYhz70IavVLqt7j0aj+Ts+8YlPWBiG9tnPfta+/Mu/fN8A3EsAPuO33mXR0tqldw/a+OfKcQWvrZxAw4+c/KWTmVs0Atx0X+iXBd+HI1TxTkb4F/cZ+fNqXEcdu7uXLiB++Dp7YHgZi8ceiKpEFJwYBXhEFNwc0475O4khR7WOmDRreK0zLStPj/vEjIQIW2dVdB5YXEQzCmZGMBpjW+RTBK9CFOB9YoLSqKAq+Mka6sydGy9Am9VjfLZGjEv6efnc1Zk+visdoSnAjBg03Lm6AeU4FaFpQWdWh/vOTBfhWiXGAHhKYxvue7CHsTh6BE1KYiLGX9vCimQ17KDDW8qfvfUWLEec47s2e1iOjOBpGUZUvY0mEIME22I6w2dbxPAlMTJmzTBm0xxjttrAsWIwJgYn3XL5oh0cE+IdYlDiYdlSYuQRYVc3I6L4syZ+N1zGhwMy7qTEpGi2izjFPcQ9mhKzADKOzVbKsgJ5hLGzvIDjTkImj511NAGJ+1iOkGFHDC/8GNua+J1YQgwkMnKtUsP39RNy3vMCugVU+o5ZShPrlSwQjb0WfjOu4LXhBPtTRgwaMjKO1x8lJiBDLEtE+ueMxGyMQ6X5WGTLSGy3NsrfZeYek5Okj9Ux7qIO3jcj5lMZmQNmJP5Tch8z/PBISMRkrdQkJKuhv5UNyfw+cM0ytshMztYdu8R4hDw6I/FJurYtEnOPE/gJWyZjYEzWWfkIC0OmOztPMO6R+ibOtZSYuxhZF9ZwCWBjHJ5s2CBrRR+v5duXAyCZrNsD//R984lYJiD7ts3Ri4TAoUBABOChaCYVUgiYbWxszEm7wtm3IOeKY8D33HOPtdtt+/SnP22/9Vu/NT+2W/z8xE/8hL35zW+msP3yL/+yvfa1r53/7tnPfrb90i/90lwb8IEHHpi/45Of/OT8d8V9r3nNa/YVehGA/w6nCECIKxGA2NVEAIoA9EUAQsdgjq8iAEUAuoEiAhDnFBGAuNIQASgCcF83OnqZEDgECIgAPASNpCIKgccQKHT7vud7vsfuv//+K4JSaAUWBh9RRFIHCgOK2cx+7Md+zN72trdd8R3F8eHCBMT3yZ+Lr6M5RACKACwQUAagMgCVAagMQCBslAEIs6syAJUB6AaFMgBxEaoMQGUAXsfWRI8KgWOHgAjAY9fkqvBhR2AwGMx1/N7znvfY5z//+bnT74kTJ+wFL3jB3N33W7/1W6+qiu9///vnJN8//MM/2ObmphXmIcWR4eId3/Vd33VV77jWm0QAigAUAWimI8BmIgBFAIoALCOgI8A6Auz2CR0BJrIA5Ai0CEARgNe6H9H9QuA4IyAC8Di3vuouBG4wAiIARQCKABQBWMSACEARgCIARQDuRUAagLggEwEoAtCNCmkA3uCNiz4nBI4gAiIAj2CjqkpC4KAisJcAfOpr323R0olLRSW+C5YSYeOVFTQB2U2J2HlIlMcJMJ3eZROU4tezDlNdx3cFhn+GXmmgyHwlREXolAj0rw9Q2dlLMSMiIOYGAanqrIHl8wK8RnSyLSMnv2ez8sU8x4W518CCNBqolN+uoML4xrAJrTMZoa5VuIuY1JfxfTUPca+FaOTRitAYYjtFU40pMXKokBg7v1tux6BDTCaWEac7lreg/s+qfBGu7ZCyDWdoyMJMQIYZ4tnvY9+pXsAyhyNiDMDEzlsYF1kTb/Tjciy2qhgni8ShojvAtkmG2GeDHsZJFmMdagsYO9UKxkSVxM7GpAHt0ycmPTPS3z1SlmyA9ahslj8RELH7oI/9elojYwcxQJjVsb3yOjl2SQyOMjIGkOGJGi9Uz2KMNdexLAEZi9IWcct1hPzzBexjHjEkmhITmMo6lq2G0455RGTfryLIzdoQ4mRA5DU6Obb/iJk+EZAru8SkhMwLwayMXUoMBdIWxlNAjEemxHwnG5J5YQcbMeriZBwSIdjmGMviV/F9GXoDWdwlmDgmKEUpPPLh9rnyXJE3sD/t3oXlmBJzh7xHykuy2HLSP31cUlhGNIR9DFkLST9uEveZyg62xYSUZTfFftd3h0qcxiwn+IakX+NMZFZlBiIZlqNNDHma5IVtUpaItJmXYuxMSOx8kZiUME+VxCkfW9saWXpW0aPMpjgFGvFLs0GFGHK5JiD/KBOQg7pfUrmEwJOJgAjAJxNdvVsICIESAiIAL8IhAlAEoDs0iAAUASgCUASgOy6IABQB6MaECEARgG5MiADUZksICIFrQUAE4LWgpXuFgBC4LgREAIoALBBQBqAyAJUBiJtYEYAiAEUAlhFQBiAuuUQAigAUAXhdWxE9LASOPQIiAI99CAgAIXDjEBABKAJQBKDZVEeATQSgCEB35tERYB0BhpjQEWBYoIkAFAEoAvDG7Vv0JSFwFBEQAXgUW1V1EgIHFAERgCIARQCKACxiQASgCEARgGUEpAGICxdlACoD0EWgKg1ACAodAT6gmx4VSwgcUAREAB7QhlGxhMBRRGAvAXjn//7ekglIuoxqz+EymjZUiRj91qRs5FFgF0WoHTQiq6TZxFHUJiLZViEmIB4RSveJyQYRNo8dA4SivINdrENg5Egcce3wiflGFCCeOREen4yI8nRCRMtdoewGvr/aRB23O9qoCn66itc+PbwdQn5ziCYLU1LeE3VUSm97WJacuJsMU6x/RnDvETH+6YCYlAzL2KVNBL1GTEtuq3Wg/nfFF+DaToKYnJsswn2P9vBaPiOi+BewDlWiYp428NlkDfvFYgsNDyo+3jdIy99NieFNM0Il+skEyzsjZgT+iBgPtHE8WWuiu0Puk77jEQF8pw5FI2z00FUhd8cYM4uJMQDxrTHPMW0gTWgBepZYGpOBh5gH5ERlPybjWL2G2E1yxDglfSzbxj7WOIvPVqaIMTPayOvYp1LHBGFGhP1nxHjDn2A5GpuInU9MW14Uj2oAACAASURBVEIyB8QhxizxMbCUCPT3PWygGRljatu4OoiweSxDXyWb1culmZG4TpgLFOtPWwQnYloRkfGE+BFZ3sb31Zz4L2oeVsi8SMKd9adoSAxuCHa13fKYNVlFl43uHfiukYNvUd4RGds8YlDiEwMVMhSZH+F362OCHTGpIUOq+aQsvQC/sWtkDHTix9sg5kNkMVshJiCxY+RTPFYjZhxVYoRUIW0YM1MNYpYSLON4EvWxHgkZZ8+RZ3EmN5s468oZaZuA1DUm38xIvVIyyBBPKdtbh2Sybp//J5mAHMW9luokBB4PARGAj4eQfi8EhMC+ISAC8CKUIgBFALqdSgQgbrhEAJoIQLJRFgEoAtBFIBABCEFREwEImFRFAF7CRATgvm1t9CIhcOgQEAF46JpMBRYChxcBEYAiAAsElAGILsgiAEUAKgNQGYDu7K4MQIwJZQAqA9DtJ8oAxH2BMgAP715JJRcCTzYCIgCfbIT1fiEgBC4hIAJQBKAIQDMdATbTEWA8AycCUASgCMAyAjoCjAtIHQHGcUIEoAhAbbWEgBC4egREAF49VrpTCAiB60RABKAIQBGAIgCLGBABKAIQs3hEAIoAFAG4FwFpAOLZbmkA4kJcGoDXuTnR40LgmCEgAvCYNbiqKwRuJgJ7CcBn/B9/YtHy2qXiZIuoYuwTowmPiKdPDIVdhswsYIrHDL1aWex7RlT22bWcmHEEIdYhItfSGVHAPl+FpsmIkH1QR0OFiIjRZ8R4ICci05bhAjsPiVC6Y6DQbqE6dUZMBiZE2D6KsA7b4zrU3yO6ThW2IyIC2A3Dbyz5WGZm7jGYotHEcBfbx0+wgLNKuRrxEn4zDFB0PA6wvCtRHzBZDlBl/6HRCtx3/sISXAuIUHw4IiCT8MwWsXzPOfUF+MaAqPtvTdC4ZJKV++zEdXEwM2bakk+xr/skhivEuGexgQYl1QjNYqY5YrJDjIYCYqDQ2UHnhaiHHSPuMTcfHJ1nUbksrinIxSeIQUuDkGkk7gL0rDDWxcIGMbcgoTPtOB2g0DztELOIHDttLcMYq/n43SFRwXfHGY+Mfx4RivOI2QEZsq1GDI68XVTjj4nLQkYGsqHPBku8Fk2JcQ/CZDkxUGANGTtuIWNiDNWfkD62ToxcNrBscZ/MHah4YGmNjJ04TJjXxPfFpH8GZMzyyLWImJSweSZ3qjtZRtCTGoI3rOK1PpsYB9jWIQ5FFpGFRpWYcVTJXFQlhmZBgngy8mhMYiwjaXZDZ+yd7OLcydqmTvQJa6Qvxik2IiVFydyWV7CuATFgi0mckN5pGTEM6pO1Uo+0xcRZV2bkOSP1j/pYuBnRMczIGmhI4jPZM98n43V78P+7Zz6DPProo3b69OmbuT3Qt4WAELiBCIgAvIFg61NC4LgjIALwYgSIABQB6I4FIgBxVyMC0EwEoAhAd6wIRQDiHzdEAAImIgBFALpBIQLwuO/CVH8h8O9/Ns5zlscieISAEBAC+4+ACEARgAUCygBUBqAyAJUB6M4wygBUBqAbE8oAxHFCGYC4NvWVAQigKANw//cweqMQOCoIKAPwqLSk6iEEDgECIgBFAIoANNMRYDMRgCIARQA6CJBjyzoCrCPAbj8RASgC0EVAR4APwQZIRRQCBwgBEYAHqDFUFCFw1BEQASgCUASgCMAiBkQAigAUASgCcC8CM2kAwhJQGoDSAHSDQhqAR32npPoJgScfARGATz7G+oIQEAL/jsBeAvBr3vzHVlm5bALSr+Hxp2lMVOZj3DgnOT6bEuHtIMKjl0vtsir49rQG7TUZowA6+aQttNFkICLmDsxUZLOD5gEeEfsOifGAMXOPPtFUI89GNdTYur29Axh4jmh3P0ex726OBgDGxK4jbMMREfavE9FxEhE2GOJ36x4KZa0SA42tPuI+Oo+GJMEQvzxdxngKmuXvVquIr08E0JcrqE4fGL4/9FDt+7Mbp3DjuEWUwtlIRNpn1sRvrDbQkOTO+ia88dxwAa5tjXBnXwvLuPQn2IbpCPtdSEwLAhJPRsx8ctL/Ty12oLzjDDedF7pt7BMDxLi+hSDn4dUZrZCwMNf0g3X/Kfq9WKWFjgJZF/H0U3LEsIIxmxDjomkPxwCbYv1do6XijtqImIBMsM82PaxHj4w922nZpCfewroyw4+MkE5GjKYaMVYs3cH6+6Q/5awrEkOqiMQsi/d0CTvBMumfnW2cy/ygXI8xMQ8YDLBetYcQzzox1Kih55FF5Bsz0meTNiHFiUNHSExAjLQjM4EwAmhOxpSZ4wTTbmFlB0R38FyCcwf7phFzizozxiH9MyBmFBViFnNbjGX2iOlPxUh/J9+teNi4m9Nyfc8NWjAA1HwEeNUxoykeqhIzo3aI/Y6tAc4OcR5vVNB9ZiHCa2NiXMVMQDZH+I1BincyXy3PMQdarmLbNAMc6zanV7cuPD/EDlCp4vs2RpfHyWS4YZ//y/9l3l4yAdE2TQgcLwREAB6v9lZthcBNRUAE4EX4RQCKAHQ7oghAEYAiAEUAuuOCCEDigiwCENZxIgBFALpBIQLwpm539HEhcKAREAF4oJtHhRMCRwsBEYAiAOcIKAMQOrYIQBGAIgBFAIoAdBBQBiDMFcoAxHWxMgCVAXi0dkuqjRB4chEQAfjk4qu3CwEhsAcBEYAiAEUAmukIsJmOAOPUIAJQBKAIQBGAexGo6QgwDJQ6AownKHQEWFstISAErgUBEYDXgpbuFQJC4LoQEAEoAlAEoAjAIgZEAIoAdBGoSQMQgkJHgHUE2A0KZQDi2KkMQGUAXtfmRA8LgWOGgAjAY9bgqq4QuJkI7CUAv+53326VldVLxRnWUUy566EYeeKh8nYYo8h0o4bi0XUm5O6X3zf0ULG9m+LxxIwIti8SE5CntS4A5BtTFMo+00XzhJyYe2REPD4n1wyTaaxCMFmO0bhkIUCx786kLCifzLC9fGKyMDZi0BJiG0YxKsU3iAlIluOzu3uErR8Du04A6PXKRgHFvbMdYhaQ4KbTa6FQ+p1L6PhQccTjMxKvvYzEE9G12h6jiP94hH2iso4Yk09Y2sJ+wswi6j4Gz5TE2FNqaBZjRPD/fB8NNHzHzaKzgxuYuIrlYH4KizUUO58Ql54ZSbFbrXWhf1Z8HDs+s30L3Bd9kZjPbCPGJAQsrWGMsWvmhHtCjGci4rKwWsF+3dvBeApzzCZh404yQuQzdjxzAceOtQDLEvbxu8MO4jkjpiIT8t1etxw/ATFFYCYTswbpE45gf9HwAcnEmpDyBmTMdqaYeRwxzbYcu4lZA3FqL6GBwIqPGHf6OFbsOAYf3V28J1zHtl78AuJUzTCGa2Qcq5G5KG1ivaY1vJYRs4yUGH4kK8TJo8bWBRifkwnWY+gYbXjEzGuQIU4jcq3awLkjIOuHVTLvNjMcUL0JjvfVFOu6Qgx0sgSfnRGMz+6ipt4iMaoyZ/wYpTifVolz0Z3VXRhPG8T07GSIsc7G9gskKFKPYBLhd3sZjosz4tyzMcF1W0aMS0bEMKntYNcI0IzE2LuIQUmDxElO6joj1+4dnbiE+3iwaR9+54/O/y0TkJu5M9K3hcCNR0AE4I3HXF8UAscWARGAF5teBKAIQHcQyEQAwrgoAtBMBCBOlyIARQC6USECUASgGxMiADEmRAAe2+2XKi4ESgiIAFRACAEhcMMQEAEoArBAIFUGIPQ5EYDKAFQGoDIAMS1KGYBA7CgDEMJEGYAYFCIARQDesM2NPiQEDhkCIgAPWYOpuELgMCMgAlAEoAhAMx0BNtMRYB0BducyHQEms7uOAAMoOgKsI8BuUOgIMJJ9OgJ8mHdLKrsQeHIREAH45OKrtwsBIbAHgZIJyO8UGoBrl367XcPsj3GAC92gQbTiiLZd7GixFR9qRCgoNfHK30hIdtrmpA7tOB2idlK8gFpkX7/6EDy7nqLY071nUWMs7GD9PaLZNcOi2MJKH767EuHRsXiGeEYzFG3613O3ld7n+7jgXG3gN6dEA7BdRx2mSgW/Gcd4rUv0elKiuTOcYDz1tlHrJzCsx0KM5cuIthe7rxaVy8z0v3YSLMdohnpS/fOY1RAOkTjCHCGz8a3Yrnffch5i4vZoG66dn6Ie5ec3L2sHPfbAaozxNBgQfcMpHvledjTq1vuoOdUg7X+aaPaxvp4S4DtMTylELaaH+8uASX8D26KOEpAWECmygOgisomhj0OAZYvlh+9YJu21tQivWyA6hqNt1MBkWnk+0XbLybW0SVx7W4hnmCEo4y4OWlkPY5uNT4MEdcbG4/L72Jhoy6jFtlDD8vZoDBPCtovlqG0Sj9IKXstWsNc2byO6YETvsOpjQKVj7GP9bZJRuVGeU2bkk9EuKdsGXqsRncUG0TFbIO/LmojJmGT24YxqRrqnjW7HWIyI9p4RkdJBH8feQafctvkI8SVTseVEx5C5vkdk0F6u4LwzI+1ay7H92z6JbQ/XO9Mp9rveEMeFMdG3jJtk3nb0YmOiO8c0AE9FGHhYCrMaeR/TANzNsC8OiazGCaJb6xHtwS2i0zxMyPhJyucTvcjA6bOrEWrPNn2M9q0UdQc9oqmYk3VMd4aYnJ9e7mSFBuCH3vUj87lDGoDaqgmB44WACMDj1d6qrRC4qQiIALwIvwhAEYBuRxQBKAJQBKAIQJigRQAiGY/8vAhAEYAQJyIARQDe1A2PPi4EDjACIgAPcOOoaELgqCEgAlAEYIGAMgCVAagMQBzdRQCKABQBWEZAGYCYeagMQDwZoQxAzLJWBuBR20GpPkJg/xAQAbh/WOpNQkAIPA4CIgBFAIoANNMRYDMRgCIAXQR0BFhHgN2YEAEoAhBiIhcB6GKiI8DafgkBIXAtCIgAvBa0dK8QEALXhYAIQBGAIgBFABYxIAJQBKAIwDIC0gDEPiECUASgCMAyAtIAvK5tiB4WAkLAzEQAKgyEgBC4YQjsJQDvfO27LFq6bAIyXcSFbtLAI2ELK0Mor+PjMf99PUQB7FqIQtmdtGzwkaMeuPWJovzQEZ0vvnliaRfKdkcDnQLOJWgC8tAXTsKzERHFT+uoHh40sV7PXEbDh0qOQunbRHl9NEUQzm+Xy+zneOTkKc0O1IEZVDQr2DZhjO8b+Ci63Unx+CzR+rb+AJ+tOoLl8zgxxC5JMBZHY8QkJkYoa7VyfK5U0Cjj7AhNG9a3MCbCXSwH0fW2lDiFLt+KIuO31LF9xjnqBK2PUY9vd5sYkhDhcX9EjnES4f27F8vxOSEmKOeGaEbSipEScI1X5kEYYOQ93EPcxz0UxQ93EPdggu8LsTsZMzdgJiBT9BWy4Ck4trUck4rYQwOArV0UiveJaYERs4N4gu0VzYjhQwt1O2s1bIuxh9iFxLTCcAiwQQ/7bELq0SYmPanTPTs5GmA8dWUdxqdmgFl3n9o5DfftEBMYf0Cw6+O1hBh+hMsIwFNX0OBlc4LjQpZgBlTaw37skzi2Trl8KWHYPJKI2DyHMdHq4bU60SxsD0nfIRPDYAVjhwzj1jmFDw9OYb+oLmLMdvvEpOg8ju3+VhknMt0ZGf5shq+3gJg2kGHMsPZmAVbBZnWsay3GeaxBzCgqBPcZme8nI4wnI2YZoWO2RjwxbLmKQbZM1mcNgtNqhGPig/0V6J+bPVwXZFXEZLGJRmXLxBztUfKNiJTPdbMvCpYTEE7VymvDBmnYMVlnBgTzNMdIeWSMc6VHxt3ZnjXLqL9pf/POH5tjKROQG7YN0oeEwIFAQATggWgGFUIIHA8ERABebGcRgCIA3R4vAhA34SIAzUQA4mZXBKAIQHf8FAEoAtCNCRGASBSLADweey3VUgg8HgIiAB8PIf1eCAiBfUNABKAIwAIBZQAqA1AZgDisKgNQGYBuVCgDEPuJMgCVAQj9RBmA0FGUAbhvWxe9SAgcOQREAB65JlWFhMDBRUAEoAhAEYBmOgJsJgJQBCBkcekIMASFCEARgC4COgKsI8BuTOgI8MHd96hkQuAgIiAC8CC2isokBI4oAiIARQCKABQBWMSACEARgCIAywhIA1AagG6fkAagNADdmJAG4BHdIKlaQuAGIiAC8AaCrU8JgeOOwF4C8LZfe6+FiycuQdL8cjRLGNRRiHp1pQcwxhEeiZnOUCep4aP23Na0bHgwzYm+EhO2D9C04pYGmoC0iYj1F8bLUIczF/Ca5whsFw81aliH6QT106rE8KQVohj3aoSi2BdGaCpwYad8ba2K7fC0GEX2iYa1jX00Xuj76Iow9FBRfTchxwRdBwArtNNQPf10bQdwvzBAkf3NDhpe+MQYISbuDrfUy3hu9dFQYzzA+ntT3PzmPiq25zWMu2oDY+JkG9unVsH2H3rEBGSC9e+RI1ZRiuXzuxiLNaJ4/9zlh0ptMSTuOw8ML5sEPXZzQDBh1zoTFIVPHiXOG8TIgxlUsPYnRaEmIFkNccoW8MONBdzsDh1zlKUKOjRs7WKMzXYwxmpdNKioNrAcSz7qia1UsGzNGo7ZPR/b/0KC5WPjwm6HtM8Yy7y2gLGdO+PxDhk7FppYhzoZEx/axbF48hD2iRynHUua2D9XV9CQh5kHVEJ8dnuAY3FIzAjCdWzviLR36pQ5JWYs2ZSYwGxiO9RGeF+TmIo0yftCYkbRP0HMl4ipRn+RmIAQoxVrY2zPdnC8qz5CyPjdclukPjFkIu3vZ4iT4ZLCyLLAiL+Pzcg3pjHWnz0bk7GtRhyzqqQtImYOQ+5z/Sj8jJSNGaM0sWIV4oISkkF2NkFA813EvY9dwiaksjExi4nJd1tkTdVP8CNDYqqy1CqPlROyZknItUaEY/ESGYu7GcZ1h5Qt3FOH0WDT/v5P/vM8+GUCctx3Z6r/cUNABOBxa3HVVwjcRAREAF4EXwSgCEC3G4oAROJIBKCZCEARgO5YIQJQBCDMH4QoFAGIi10RgJcJRRGAN3EzpE8LgZuMgAjAm9wA+rwQOE4IiAAUAVggoAxAZQAqA1AZgO7cpwxAZQC6MTFSBiAsEZUBqAxANyiUAXicdlKqqxC4fgREAF4/hnqDEBACV4mACEARgCIAzXQE2EwEoAhAEYBlBHQEWEeA3T6hI8CY7akjwChlIALwKjchuk0ICIE5AiIAFQhCQAjcMAREAIoAFAEoArCIARGAIgBFAIoA3IuANABxKSYCUASgGxXSALxhWxZ9SAgcWQREAB7ZplXFhMDBQ2AvAXjHa95l0dJlkf/bvnwbCnzfbBWutZZRBP+O1hbcN56hKPIX+0twn6swlc0wCyFzla7NLCQmIJGPR7iaFTSjGDvC/kWhNvsoMu8RsXcmHp8T4fFKiARD6JHyRVi+jQGWZeoIby8SFfM1Hw1FYkNxokmAR2C3MjQKGBAjB2Nt0UIl+1taaMiyNSJGIyOMk5SIjNsYjx1FxKAgdK7F6JNgxO/CUmIUMatge/kxXjMSs80l7CeLjhB5EXc5ed8jg0XoJ9MOnsUjXcAiIgK/XEcQ7mqeL31j3THjKX55fogGCKMptlc2wWtRF9uL+D2YETiZQQUbTYncvyVrRNy+jkLuUQ2vZcQEwjWCWatiH3tgA81S/LPYx1Bl0WxpAePkrgBNNuqG40lMzF0ueNjHvjBaAPhSYtLkpYhoQBpouYHxVK+V67HloQnMzgwNhIY9vOZNScsSU4S8QjAJsF2rHl5LMnKMcYbfTTpYj+oQ56hmB4mSyhCvTWvlZ8cRMaghda1sYA+IsVoWESOHKjGjyFtY1+ktOI6PI7xvTMwSslVi+EHMu5qPYgGrG/is3y/jkhJzm4zEa+ZheXMyJgbEoMXDrm0TcgQ6CZhrB16rD7CuLadeRauSqceiEOsRJYSMqzr35cQEhLU/8fuJiSFNxJ4l3TMh4/iEwER8q2xGMCYeQpY38CPemAQ8Lqls0nIKQ8pWGWDFPDJopxXSr8kElU5I39lTh+lo3f7l//lP8ydlAnLw9ksqkRB4MhEQAfhkoqt3CwEhUEJABOBFOEQAigB0hwYRgEgAiwA0EwGIm24RgCIA3fFTBKAIQDcmRACKANQWTAgIAY6ACEBFhhAQAjcMARGAIgALBJQBiF1OBKAIQGUAKgPQHRmUAagMQIgJZQDCBKoMQLKmUAbgDdvb6ENC4LAhIALwsLWYyisEDjECIgBFAIoANB0BNjMdAdYRYHcq0xFgHQF2Y0JHgHHBpyPABBMdAQZQdAT4EG+WVHQh8CQjIALwSQZYrxcCQuAyAiIARQCKABQBWMSACEARgCIAywjk0gCE5ZIIQBGALgK5NAAhKIh8ookA1O5LCAiBKyEgAlCxIQSEwA1DYC8BeNfr3mnR8mXx+oWnoLD7+RDNKKImqkJXmRo5EVk+v41i9FFUFu3PiaFCNcZvMuMNnwk7ExXreoQq68MMjQw88sIhMTdJSJnbFfxGf4zae1ViFtJhwviOM0I2IgLjxPDkRB0NBSaG5VjvYdsQ3XWrNJE4aTXQyKAa4pJ4fYDHTEdjYgIyQuVtjxitxD2ixXWunIqQB+QIG3o2WIWYdrSIyYIRkfmEmMqcbCDuy6QtvpChMc7Du3jNJljXgLiAVH3sKyvECeWOatlV4P4+Gv5c6GJ7pbuo2F7pk6OjpC/O6niRGbIE5OhUFpMXkqN4rZUhjKcTYvhQq2F8psxAwVHGZ+PE9g7iFBDB/gXigkK8SGyBnKer52hu4hHTkkeHbag/M7zw6vi+hTqq5xPfIosiHAPq9fIYcD5HTLa2sGz1shfNvOzTJsZTuozfvLXewbYm/aQ/xJjNEmzscQ/vq22gWUiVmG9UibuBH5N6OH2AFMMy8v6wR0whRsTwwTWFKBAi/c5v40caDeI+4szPxevO72I7WhXL4huWuXWO1IOYpZhj8JEThiUlY3FKTGu8LfymT65lxPDC72K9khoxGmlif6qyOXqIz8ZkbEPrGbMqGRdzx0EkxenUjBhhZcTIIiTvZ8YgzKRpSsbOjIQT8ZCiJiABeR+LsZAYd/i4HLGxMxwFJJ5IOFmOSyUjSxGbMm8wgvt4j/nKZLJu//g/vm8+hskE5IZtg/QhIXAgEBABeCCaQYUQAscDARGAF9tZBKAIQLfHiwAUASgCUASgOy6IAERiSwSgCEC3n4gAxD3ETATg8dhYqZZC4AkgIALwCYCmR4SAEHhiCIgAFAFYIKAMQOw/IgBFAIoAFAEoAtBBQBmAMFkoAxDnTxGAIgCf2K5ETwmB44mACMDj2e6qtRC4KQiIABQBKALQbKwjwKYjwDoC7E5COgKsI8CwMBEBKALQRYCoMYgAFAF4UzY1+qgQOKQIiAA8pA2nYguBw4iACEARgCIARQAWMSACUASgCMAyAtIAlAag2yekAUhWuiIAARRpAB7GHZHKLARuHgIiAG8e9vqyEDh2COwlAL/mjX9glZXLx/68VSJivUjMMkI0aGDGGIMEdeaYGHvoGG1kUyK6XkV1bp+ILsdEAHy5gqYAQ1K2UYb1mhIDCY+IZ/dHxBihgQRDThbOtzdQyP58H0XWQbSeiU47wulFgNeICQozBch2q9gfqviRComJ5VYfnr2rhur+2wmaypwdL8KzF3otuOZ1UN08YGL5jig4Eztv3YoGHbdUu/DNiocfmOZYjq0JGh6cqqIA0HCGfWIrRbn37f4epfB/L1VODGlOLmGZswT7z2KAfaDtla/dv4NHgHsDjOvZDtYhGhNh+wkx/CAGBekC3jeL8FrcxrEoCnDMism14ZSY71RI8BBTkYlXxnNIVPbzBOsfpth3lnJiDLSFbV3P8dk4I2YEKY5Z1sP2ny6RftzG8SkgMeYTxf8KcQbI4/I3zo5xDJuNsbwhMUVIlrBd28RoaDXEfnyug2NHv4txbB0si09CotbFtvWI4UWEsFtMxmN3+CBTkc3I2B7uMhMcLFvSJsYgpD9VmhiLzN2VGeikrB2Jg3JE6s9MJSI8eW6ur1awi9MTM+2YTQlOOMWat0OwI4uKsINuFDPS/iHpJ1UyLpBHLa5hg9eICUaFuE8EcbmvpBMMxJTENZkmLCD8r0e6jpFxIifmOxMSx1MSix4xlquRzFMy2lk6JC4dJO6ysBwXObmHGR6RodiYcc/EeX8RrVPilpxFl0GZDtftUx/4/nlgywTk2G3HVOFjjoAIwGMeAKq+ELiRCIgAvIi2CEDcJIgAFAHojkUiAM1EACKhIgIQMREBSNx9RQDC8k4EICGoRQCKALyRGyF9SwgcAAREAB6ARlARhMBxQUAEoAjAAgFlACoDUBmAygB05z1lAOJKQBmAJKNMGYAQKMoAxJRFZQCSrFVlAB6X7ZbqKQS+JAIiABUgQkAI3DAERACKABQBaKYjwGYiAEUAigAsI6AjwLgU0RFgHQGGqNARYIBER4Bv2DZGHxICRwIBEYBHohlVCSFwOBAQASgCUASgCMAiBkQAigAUASgCcC8C0gBE0TppAJK1rQhAEYCHY8ujUgqBA4uACMAD2zQqmBA4egiUCMD/8w9LJiBPuXUDKpyhZ4M9lC4jMB7qumyPUdw+9tHMY+KI6mcZ/sW9EZPNOrmv6qF4/KkKHvfcHGLFdqdoglElxgMpMTLoJPjsAhGtrwcovL8YokHDw90VwDh1VLtrBMvBgBh5MB0mIrBdixDjmY+6TqMcj4Q9ZWkLyrsSoabeZopmGZ89fysmGIwxBoi3g2VMUMkJsUoLlc2/YuEcfDMyjJ2ZYf13U4ydQYpK6ckUzUIqRGXcD3DTuTlFY5DxCN936xqq23vEaWbJxxjbcvrAhW1sm6SP3/SIsD3ROrcahoT5RMV9dBuOHUETY/GWFsZTb4q490akD7ACMoF213nAzHKnzO32CGInIcZF2RBj2MdHbbaFIvYhacOIxMmMCO/7I/xusnh1JiBGGKA0xf7uk/FjPC7HikfKNjuF7Ro7JgYFuCfqaCqUY/e0Wo7j6QMbOHYmbc1ZogAAIABJREFU5zFO4k0MgJwYLzgeMBfbfg3nsYA8HJO2yJ3mTnCatIyY0QQ9YkZCMElb2NZ+SNwYyBhLwt/8PoISDYhxT4MY4ZAlFPFKsBib2zzHzIP459iMzG3+NvkoDh02I30xI30s7BPciZFFRMYT4qFlMWnbZhUbcqWKsT3p49jmOeYrKcFkSsxD0sbVralCsrarVDD+h8RoZ0z8WJIKxuLyIgZATExVGsSkJSLly8k4tjUqd7QJWT/Wq7hWSMi7OhMcs1ns+CHiVI0ut+tosGn//V0vnwesTECO3n5LNRICXwoBEYCKDyEgBG4YAiIAL0ItAhA3HCIARQC6A5EIQBGAIgDJ9CwCEECZiQAETEQAYt8RASgC8IZtePQhIXCAERABeIAbR0UTAkcNARGAIgALBGJlAELXVgagMgAzZQBCvxABKALQRUAZgMQFWhmA0FGUAagMwKO2h1J9hMB+ISACcL+Q1HuEgBB4XAREAIoAFAFopiPAZjoCjMOlCEBkMUQAigAUAVhGwNMRYOgUOgLMjt6LAHzcTYluEALHFAERgMe04VVtIXAzEBABKAJQBKAIwCIGRACKAAQEpAEIkEgDUBqAblCIAJQGoBsT0gC8GTsafVMIHF4ERAAe3rZTyYXAoUNgLwH43Df+QckEpLU2gPr4TVzoPTRFExCi9Wz9CRoIBETE2c26mSb4XLOO4swn62jukaToMuARAewxMWjYHaPAtt9EXbhpTJTiY0TgyxZRjbzqo7D3jIjHP9JDjF2jgdQR3S8az+9g/evLqHZ+ooai2yExUDk/bmGMExX3JfK+bWKMsr6L76udQZOBrImZSEkTMa4sYd0aQVnc/GSMCvCdCZpsMJ8InwiRb0+Jaj8hTmo+xk42wbrGxN2kQgxZNompzkoD+2w7HEOb7UywzJud8pHfrIdlMyKKnxOReSPGINEA+0lG2rB5K9ZhqYrtWiMGOmeHC5iJMkaB9pwIvgddEnfEQCFwBPobNRyLxhPsd9kQ3x8mmCXC7mNGK1GI8RSSaxkxrkmJcU+7hXEyzbAerrlHAXg+JsYgo3IPyuqkvy4jdk2Cp8+E/R2zg6IcE2K+0n0Ej7KHxPDDHJOJ4n0eDs/mBWQsuhXbMSIxVkmIWYYTnuMlfP+0Rdw9xldnAuKRMSskRh7BBN9HrEIsHJLjruRa2iYmIOSFvof31XZI9lS/fG1Sx5jLiZFHSExAcmLkkWP424zEXUyeDYkLbpW0T0gyBSvsqDC5FpO1R6VPMHAukSHGZgP8wHAFY6xSR2MQtn4KyVQx6uC4O8blo42IcRczfaqStWKTzEdGTIpC8uzUkXcgRbMgIiZ1ZNwZk74+JuWIiZHLcvWyIddwsGl//c7/dT6HyQTk0G2nVGAhcF0IiAC8Lvj0sBAQAteCgAjAi2iJABQBCFkdpCOJAMSNuQhAEYAiAEUAusOlCEBCgIoAhFlVBKAIwGvZs+heIXBUERABeFRbVvUSAgcQARGAIgALBJQBqAxAZQAqA9CdopQBiJO2MgCVAehGhTIAsZ8oA5Bk9ysD8ADuglQkIXAwEBABeDDaQaUQAscCARGAIgBFAJrpCLCZCEARgCIAywjoCDAug3QEmGT26QgwZvbpCDBgoiPAx2JbpUoKgSeEgAjAJwSbHhICQuCJICACUASgCEARgEUMiAAUASgCUATgXgSkAYjZjtIAJASoNABh+S0NwCeyI9EzQuD4IiAC8Pi2vWouBG44AnsJwOe94e1WXV69XIYlFECuLxCl7AjFo1MiPL9DjBYuDFCgfeKI9vsxbkNuW+4AVmtVNAH54ngJ/zJNzEjCGS70h1MUsfZrWJY0wgVxpY7Y3bmwiYvEHA1OmIHKgzsr8GzWK5cvckT3iweYmPZXrZyFd10YoRlHP6nAfcMETQEswBJ7xIygNyJ4buC1ahcxHq+hgURyKwqUf8OpB6DMqSPGPSXGMGcHi/BcNcA29Eimx7k+Gk/kRCj8ZAN1FokviFUNv9ufYlv0iTnOcv2yntBjFTpVRdOTR0ZoKrOx3i5hkJO6ejnRAJxi25DbzI9xnKgRkflGBZ0XmhFeG+cYi9MZXusMiElLH+8jVj7WXiFGSA4ErhlPAeKEmLtUQ6xDQrCbjnBM8D3EPSZ4MmOQyYyYj5AxezzD72ZEyN7vEWOlnIxajjnQ6bUdHIszYgxFxhOfXOuT8bm/hUf54/PEfIYUd0q+EXWJ0QabpYmZTY2YaoTEkGO6UP7GaBULF55EdwtqxjLF8vrEKCLeJfcxgxIytwUTYuZCxuyshbgTfyMj/gwWEDOPmdMFPBzqLNwlDUvmRQ+HYjPSXgHKe1oFlxnmo1+YEegsJKYiFWKYRF5nITHLYEYjjrcFq5ZlOKzZhMRwTkyQImKiRpZ7lu9g+4+Jl80AlwCWVkgfIMZqVWJARl5nPjELyYblcYx4ANm0Rta2ZMx2MS+GCDoHNnDNsta63BijwaZ94F3/eT7CyATkhm+H9EEhcFMREAF4U+HXx4XA8UJABODF9hYBKALQ7fkiAAmxKwIQCAsRgGaeCEBYOIgAFAHoBoUIQFxfiwAUAXi8dl2qrRDgCIgAVGQIASFwwxAQASgCsEBAGYDKAFQGIA67ygDE7EFlAJLpWRmAAIoyADFORACKAHQRUAbgDdvu6ENC4EAjIALwQDePCicEjhYCIgBFAIoANNMRYDMRgCIAXQR0BFhHgN2Y0BFgHCd0BBgx0RFgEic6Any0NlCqjRDYRwREAO4jmHqVEBACXxoBEYAiAEUAigAsYkAEoAhAEYBlBKQBiASoCEARgIAAhok0AImDji8CUFsyISAEroCACECFhhAQAjcMgb0E4LNf/X9bZWnt0reTRaIB1kZR5LUFNBnYnKLw/pCYL3SHaG7gCjanOWoJnVhEJe46MQ+4MEGTESZXlRCx+xlRdj7Vxu/uZig87xNx6pUaqpY3YjRV8Ygq+j8/+mUQE8GwvOr2F1BgmhlP3FHdgndtE5yYacv2COua5Lj6nyZ4dDAfYjuGTMid1D99Gqqxr62gkvtzmg9D3XadWNyYlM0uigfO9fEIMDNjSYjJRELiZLmOKvarpLIX+liWaIZ9bDJF44UsQzxjYu4wIGYhM8NnU8e4IicxbETEvRJg3MXkxtUqtldOYmdEzCimOcYTuzYixhDBNsrC51XcnS0sYDCeJG1WmZaf9VOMlIc7aD4URGju4hNXhO0hjp2NJsZ/JUbc+ynWlfjRWBRi/btD7NthF3EnXhkWLWH56n65vlUSJ4MUx/8KwanTR0x8UrbqNk6dSYzj02gBA3lG/K3CdVJ/0gdqI4yBmhMnRclyYowxvNUxAVnDtjl9egMqdpaMHZNttI8IiQlGtUNMFkgd0urVZUBGBDviIcT8oswIUcKMtVzYA1IHn5h7hM48WQAZ4ZLFAlL/yg4x+BqQdRHBySd+WcQbyypj8j5cthj2FLOYmJT4TlsMa1iHjHwzreB9eQPL1iB9jAzPlhE8e6QvkqJYRrDzSPnIJWMmIMRDyXJnOCbecJbikG05MctJ6ohdRMxyZgvEVXqPMdBovG7/74f/07yvywTkhm2D9CEhcCAQEAF4IJpBhRACxwMBEYAX21kEIO44RAASMkEEIIAiAlAEoAhAEYDuwCACEOcPEYBIlIkAvDx2iAA8Hvsu1VIIMAREACouhIAQuGEIiAAUAVggoAxAZQAqA1AZgO7EowxAZQC6MUFOe5oyABEVZQAiKa4MQGUA3rDNjT4kBA4ZAiIAD1mDqbhC4DAjIAJQBKAIQB0BLmJABKAIQBGAZQR0BFhHgN0+UdERYFjy6giwjgAf5n2Qyi4EDgICIgAPQiuoDELgmCAgAlAEoAhAEYAiAM2kASgNQCBApQEIKyFlAEoD0A0KEYAiAI/JlknVFAJPGgIiAJ80aPViISAEXAT2EoDf9No/suoeE5B0BdXOd2sRgBjXp3Bte4Ji5LUY72NGBs2grGw9SFDW+TRRok49NDbYnqF4/PYUN7o9IoBfaWB5mxUU3g88IqhOHCTSDI+TVUJiDEAE+s920Cyi1SqrfS9W0HjifBefq4dYh4aPdR0z05YJSpFPhhgTeUKMQZqo9u5FeO1EjirjT1u4D2Ls5AlUcm81MVY+O7iz9OxogvecHRDTBtKufRKLARG7emob61D3EONHeitQr4xgN0swtofEQIcZl1RIzBJfHRt1y/1iVsP+325ijD2jfgHqUMkwxi4MFnAAJgYAW+MG3LfVxWtGMGEK8D5hLCIixrVKDHkWiAr84qTcjlGClTg3wvIOfGxDj2A8DMix0wp+Y0rGuzEZY4jPiuUegpKMsR8HWGSrEpOOJXIG1M+caCQF6RHTlikZd+INLFulh9GeETOG0SrGsUfMV5IJMUHYRDeCuIv3Ec8C81qEKMKpx9LFctvW17CPEY8q6+7g3Bb2scGI94pFxKAhJGJsjo/LvF8yQ4XpEjEkwmpYQEwVPGKqkpK4y50hJWfGI+RadQeHnTp6qljgxquZhVNC7OAwbhEZeAMytiXEVMPHodI8YsAUkXmmsYNARU4i84gYVKTEuIiZ5XjEUaPexcqyOJmQNiQ+YEa6nSWkH+d1/G51QExaiPlGHhEjFOdSTjDJSLzOmGkNMVqpDch6p4Wx2Bxf7gDD6br92b9+//wmmYBovyYEjhcCIgCPV3urtkLgpiIgAvAi/CIARQC6HZERuyIARQCKAMRdsQhAnMZFACImIgAJeSYCEAJFBKAIwJu6MdLHhcBNQEAE4E0AXZ8UAscVARGAIgALBJQBqAxAZQBi+pAyAHFmVAagMgDdqFAGICE7lQEIoCgDUBmAx3WvpXoLgcdDQATg4yGk3wuBA4bAdDq1P/qjP7J3v/vd9i//8i+2vb1tURTZbbfdZi94wQvsFa94hT3vec973FJ/4AMfsLe+9a328Y9/3DY2Nmxtbc2e+9znzp9/0Yte9LjPP5EbRACKABQBaKYjwKYjwDoCDFOIjgDrCLAbFDoCjCstHQFGTHQEWEeAn8ieRM8IgeOKgAjA49ryqvehRKDQ6XjJS15in/70p79k+X/u537Ofvu3f9s8or2U57m98pWvnJN/V/opSMC3vOUt9PnrAU4EoAhAEYAiAIsYUAagMgDduUQEoAhAEYBlBCJpAMKSUxqAmBUsDcDr2ZnoWSFw/BAQAXj82lw1PqQIpGlqX/u1X3uJ/Puqr/oq+/mf/3l7xjOeYb1ezz7ykY/MSb/BYDCv4ete9zr7xV/8Rajtr/zKr9hrXvOa+fVnP/vZ9qpXvcruuusue+CBB+bPfPKTn5z/rrjv1a9+9b6iVSIAX/92qy6vXXr/1gIKr+9WcENEfBEsjFEn6s7WJpR9d4xC5pkj7g9i8mbmG2rpRD6qiW9MiXkAEdj2ich+EONfcJvEyGSUoDFGNkGc0hHiGREF9FadqKcTY5Bb62V1850MsXy4uwyYN4gq/CzFBWxvgIr13jYx/CAi7jNybXxX2dylKNhdJ1CN/T9UPgFlPrWBJiB5FWOscQpNNf5H+o2l931+5xaMwwFit1hDQmiYYv2NkPonaz34Ro2ovY9I59kZYll6PTTVyYdoFuETU5VWA+uRzIipSL/8Da+N4lRfu/YI1GslwLoupPjNe7u3wrNjYjyxPmjCfZtbeI3hXlnCGFuq4zUjrgoniatAvosq+M1ROe6iFMeJ3RSfC5rIHCwu7kJdOxE+eyHH+pMmtNEMx51hgjE7GeM34hr2p7W64yhgZnXDzl3L8dnIGQQCQ5zu2zkB9c93sGyVHo5PxGPA0gVmDILfnfnEVIWkLHnb2Mc8ZgzgGHkUlYobBKc6MX1y5p6R4TenHZxjol3EZHZ1w5MRDxRq7sFijEyzlhGDJ9Zm0Zi0IzHu8MgUmDlwen1cCgXEAKLWIeQMDllmZA3ATEAqxBgkIGsK4iFlzEAiI0eFc/JwUMF4qoyJCYhzLSEONdkMMUmrxLSGzCcx+Sara5rhN0YxfmPKDF/I+oFMs0a6cbE4xDGFtE/uXiMFYe1Amsu8KhY47CPwEWnD1p44Ho7X7S8++rJ5+WUCsq9bHb1MCBx4BEQAHvgmUgGFwEUE3vve99rLXnZxsn7+859vH/7why1wHBz/8R//cf67JElsaWnJ1tfXLQwvLwzuv/9+e+Yzn2kFmfic5zzHPvShD1mtdpl4GQ6H9sIXvtA+8YlPzJ/73Oc+NycH9+tHBOBFJEUAigB0+5QIQBGAIgBFALrjgghAXH2IACTkGXEGFgEoAtDtPSIA92s3o/cIgcONgAjAw91+Kv0xQqDI9nvDG94wr/Ff/MVf2Hd/93fT2t9zzz32p3/6p/PfFUeFn/WsZ12676d+6qfszW9+8/zfH/3oR6lW4Mc+9rE5iVj8/PRP/7S98Y1v3DeURQCKACwQUAagMgCHygCEcVUEoAhAEYBlBJQBiH8sUwYgLkmVAagMwH3bqOhFQuAYICAC8Bg0sqp4NBAoyLg3velN88r867/+q33lV34lrVhx7Pf1r3/9/HdFJt/Xfd3Xzf+/0P67/fbb7cyZM3b33Xfbvffee0Vgit/fd999dvr0aXvkkUf2TQtQBKAIQBGAZrs6AmwiAPEsoghAEYAiAEUA7kVAR4DxjK2OAOsI8NHY1akWQuDmISAC8OZhry8LgWtC4Hd+53fsZ37mZ+bPXE0GYGEA0ul0rN1uz5958MEHLx3n/fEf//G5yceVforfP2YSUjx35513XlNZr3SzCEARgCIARQAWMSACUASgO09IA1AagG5MKANQGYBAipPjzsoAVAbgvmxS9BIhcEwQEAF4TBpa1Tz8CGxsbNjTnvY063a79oIXvMA++MEPggZgYeDxvOc9z6bTqf3gD/6gveMd77hU8fe973320pe+dP7v4ijxz/7sz14RlOL3xZHj4qd47sUvfvG+ALiXAHzeG/7YKntMQEYncVXXr+Nff2dEPPtUHcXtq4aaYueGC1APV2MpnRJDjSluzGYplm1CxP7zCOu1sISq46vtLpStb2jGsDNCo5GcmIB4E9w4hMTMZKWBCuXNCmbitJxrj0zQ8COZIU5GxLk3HsJnK0Q8PRqgBPZokeBOxPibdyCepxe3AOPvbb8frg22vgjXJuexLVafiiL7f5r/SOnZf7uAJiBZH9Xz1xZRZd4LMHaSHDEeZRizixWMsd4Exf2HfbyWE4FyLyGC+jmWr1pD84mAxF3mqKyvLWIcnqx1oB0iQ8xT0u++2CExNsVnH9pcgm8kmwSTZWJasYJtFhMDnSDDNltMMYsj2cHvzjrlWGn5aDKyXEfstkI0t7htdR3quh1jXJ+ZXfyj0d6ffobv2+rjUXY2LobEQGethWPM6Qr22dGEGNKQsXfsjIHdEWI5vYBGQwEZJwNmlFAjrAMxMiDd06yOc9FgjH0272CcJE38btjCWKxV8NoyM+RxXAu2ejifeLtYjhiHTpvVcEzIiTEImwPTBtYrJ+OET0wgfGLwUt3GeYEZg8QYYpZj85g5/HyIQ5GFxFCksUn0+WKCU4UYixHDD48YnkRkDRSRNstH+N0pCeOEjFnWwHiKyVom7DoNTuYJ4gtkefP/Z+9NgHW7ymrRb7V/t//d79OlgSSGSsyV5kEoKC14QhXSWs+LXFDriRaCgG2JkEIpGvEijaVerYjEKw9FlEfC874rgiL9Q+nyLlceJDRJSHuafXb/9/+/mlfrP55z9ppjnCTnZGef3YxdlaqctVcz55jf7Mb+5hg4/vnk2YiY5WR17KCJkbqSVWtC0gczskZh853H/J3IuOAR8508LcenT9rBJ+UgoW5+TDIAyaDVIOZ4+aZxp9s9aR//+EvHKMkEZEu2OHqJENg1CIgA3DVNpYIKARtr+/3Mz/yM9Xq9sYNvQeI97nGPs3a7bf/yL/8ydgEuHIGf+MQn2ic+8Qk7dOjQGdiKjL/XvOY143/ffPPNZwxFGK633HKLveQlLxn/qniuyAh8OD8FwfdgP8eOHbOnPvWp41tEAJaREgGIC3gRgCIA3fFEBKAIwFwEIEyzIgBFALpBIQIQV6MiAM/+4UEE4MPZ1egeIbA3ERABuDfbVbXawwjcdttt9gd/8Af2/ve/f6zrt/nn4MGDdsMNN9irXvUqazTKf9l/z3veY294wxvGtxfk4HOf+9xzolT8/nTWX6En+LrXve5hIVocO364PyIARQBuRkAZgMoAdMcOZQCaKQNQGYBuv1AGIGaAKQMQszZFAIoABFJYGYAPd4ui+4TAnkZABOCebl5Vbq8hMBqN7G1ve5v9+Z//uS0u4nGuor7XX3+9veUtb7EXvOAFpeq//e1vtze/+c3ja5/+9KftWc961jnh+cxnPmPPfvazx78vnnvTm970sKAUAUgW4ToCDLGjI8A6AqwjwDoC7A4MOgKsI8BuTOgIMJKdOgKsI8DwRwEdAX5YexTdJASEwCkERAAqEoTALkGg0+mMs/K+8IUvjLX/iqy8n//5n7crr7zS+v2+feUrX7Hf+Z3fsS9+8Ytj195Cx++0aUhRxe3IANQRYBGA0J2kAYiQSAPQRACKABQBWEZAGoAoeSACUASgO05IA1AagLtk26ZiCoEdi4AIwB3bNCqYECgj8Ju/+Ztjjb/i5wMf+IC9/OUvB4iSJLHnPOc59tnPftZ837fCFOTxj3/8+L7t0AB8qDbbbALyQ+/6iMWbTEDSS1CJu9/EN9abqLw9U8Hjk90ERetPtFHcPkvKx5abPpYjSnFjUicmI0mGOkRrKR5hsxou6sM6LuraGdaBmZR4a3ifT0ThHzuzAoB6Hn73GAG+GpXNHXzyF+eVHpoC9Daw/rVjSJQGRJ08C/FI+WiSbBIPYExcd+ABqOswxvaZqHfgvv+w8TG41rgfzS2+OfNEuO/W8EdL1xpDbOsBMZqpRxh39Qrqva0kaGQwdIT9iwK0+xgTaYco9BNRdI+YIFAxciLaH5L3LRCM56pl3AeGMdH38FrNicOirn6GBV5pYSy6wv7Fs8EInz2+MQHtOtVA04pGDdusSUxQBqTNWuv4DW8Z26yyWo7ZqRkc66okTpZ9fNfjDqFG63KE8XR3Hw1UmOFH6oydBWiVKvaTJrmWEOOaKxqrgHtniOVLiSnTyaUynt4Kmmz4xPAjJUYeHjFoYMYgAVG88IlpwWAax9hBjHHXz4hZBJlTAjIuRlMYi5cQY6lj6+U50D1iXjRARAyZ4hYx7SD1D8hc2Z/Bcbd3EDFJiemR38ExgJlv1E9iYSroDWaN41iPoEv0Z5fL93kY1uaTcbLSwfenDWJmVifmLqT9w5iYhZCFFnNLzkiZiY8FWcmY5RE5Zt3EGMudtUdAjDxS9OMxC8k8zvoTwSQjz7LjzgkzPCEGIjmZs/I+MX4jZjEjMn5QUxGnzMTHw0IyJvgjjB2rYN/xyFwckf5U2XTfWAPwH2QC8lD7Fv1eCOxFBEQA7sVWVZ32HAKF1t/8/LytrKyMTT++853vnLOOhRnIj/zIj4x/X5iEFJmAxc/HPvYxe9GLXjT+/53gAiwCsNyEIgBxtS4CUASgO9CJABQBKAKQEFYiAGFNJAIQl4kiAJHYFAEoF+A9t2lUhYTAQyAgAlAhIgR2AQLHjx+3w4cPj0v60pe+1D784Q+fs9TFceBa7VTWRGH0URh6FD933XWXXXXVVeP/L1x9i4zAc/0Uv7/pppvOPHfFFVdsCUrKAPx3GJUBCPGkDEBlALpBoQxAM2UAKgPQ7RfKAMTliDIAERNlACImI2UAngFFGYBbsq3RS4TArkRABOCubDYVer8hsLS0ZAsLC+Nqv/jFL7ZbbrnlnBC0Wi2bnDx1zOeFL3yh/f3f//34/4sswksvvdSOHj1q11xzjd1+++3nfMe1115r3/72t+2SSy6x++67b6wpuBU/IgBFABYI6AgwHk/UEWAdAdYRYB0BdufZXEeAYemhI8C4GtMRYFyj6ggwnqrQEeCt2MnoHUJg9yMgAnD3t6FqsA8QyLLMZmZmbGNjw44cOWL33HOPhSGSCAUUm4/6/sqv/Ir98R//8RmEXvva19p73/ve8b+/9KUv2dOe9jRA78tf/rI9/elPH18v7r/xxhu3DGERgCIARQCaSQPQTBqA0gB0JxZpAEoD0I0JaQBKA9CNCWkASgNwyzYlepEQ2KcIiADcpw2vau8+BH76p3/a/vZv/3Zc8Le+9a32lre8BSqxuro61v+77bbbxr/7p3/6p7EpyOmf7373u3bddddZYRbylKc8ZewofPq4cHFPr9ezZzzjGXbrrbeOCcbiPVdfffWWgbWZALzmd2+2eObAmXf3DuBCN5nFhU5lEpWtD9Q3oIw1H+871puC+/qjslh+MkBitZKjbswEkc6OiaFGN0fjhTUfr/U8/G5GzCKY8HxAxO2DCTxSWq0gJr0RftcjLhAjJxMlSYlIdoKC1X4br4V93Oim5GhOVMU61Mi1qVoP2vWK5gm4dtJDV5lWiGYJd7dn4NlsBZXMKxnGbKNaVlmaDomO33oD3h8QVfBrF47ifWEC1+7oncoO3vxzYgkNb7whtkVtGrGrhYj7ehuPYuakvSsxPvvYxhqUb71fft+sYwoyHo9I34lCHBNWR2g00+9jXB+JsBzzGY4dd2ycHZdOF7xCzIH6Hvbj2Qk0pBnkWL5eD/HMOljmxqhc3yvjZcByZYTvOppijF16YAmerVexvP+2cQTua7WxDh5xQZio4fuaMfaBxRbG54EGxmKvh/1utIzX4pPl2PaYYP8k2TgTjX2fGA9UWuRGHDosj4i5wRHEZGEaY/H+IZLCq0OCOzHMieo4LkyRtlhbLH8jJPWqnSB1wNcb6Z6W47RgXfSUsf4CtkVCThqEG4h7ZRXnj8b9WOa4hffV0AfLKph4avFq+X0BE8/LiaHIiJilRMTMihijEG8LI48aM5DIGvgehT3HAAAgAElEQVRdb4NkxZF6jIhxC1ny2Ii0o9u1PR+/6ZOYIJ5XxMrKLCMGIkPSx4wYuaRkDOg3SZv1GPGOy96cmKoMia8WGT7MnPtin5jATGInC4gJDvH7MI/UISVGM1F+tq69/qJ96v/5iXFFi5M+xQkh/QgBIbA/EBABuD/aWbXcAwgUR3Kf/OQnW7d7yo2yMPQonICvvPJKK3T/isy9P/qjP7J77713/PtnP/vZ9qlPfQpq/sY3vtHe+c53jq8/6UlPshtuuGGsDXjnnXfau971rrFzcPFT3PeOd7xjS5ETAXgKThGAIgDdjiUCEN2YRQCaiQAUAeiOFZ4IQFiXiAAUAegGhQhAkj0qAnBL9zR6mRDYrQiIANytLady70sECkLvp37qp6zQBHywn2c961ljncDi2LD7UxwnfuUrX2nvf//7z/mKV7ziFWMTEN8nWQ+PAHkRgCIACwSUAagMQGUAKgPQnUqUAagMQDcmlAGICy5lACKxpQxA9kdVEYCPYLuiR4XAnkZABOCebl5Vbi8isLy8bH/xF38xdvf91re+ZWtra+PjuocOHbLrr7/eiqPCP/7jP/6Qxh0f//jHxyTf1772tTGhOD8/P36+cAB+3vOe96hAJwJQBKAIQLMVHQE2EYAiAEUAlhHQEWAkMUQAigB0EdARYIwJHQF+VLYseqkQ2LMIiADcs02rigmBnYdAiQB814ctnjmrXTacx79WtipEYKWBenwx0YWrEK207hBFmxpBWSgmJbp7cyFqU4VYDIsMdY0e6KPuXJeI4oy6WLaAiMnkRCsvrqPYTSVAPZkKEd7ZGOB3h0Tbbdhx7ksfnjO0R/5YT6QSLWiiwM6RCdRnW3G044oob1ZQ2Ohxk8ehA9ybzsG1no+6aw+sYuYsy4WdIN9tOuJjTFOyR9q6WsP6z9TxWOzQw5KsEZ2wjTUkmCzBNqtOIXYeERnqtfAoJouAySb2lUtrqHe21C33i4VKG9rm5AD7zoCIjEUkJaZL+vGTpu+Bb0Qj7CdHO6gVeqyN1zqOfmjx8loVx4CQZFLXiM6mDUiUdcsCWjM+0busn4R6rXhEs5HgtGHYrusJ6s4NUyxbtuk42ekCTFRQ7262gnF828lLoMx+H8XC6stEA26dDCpWjsYsJlpsLHVqiN+M2xjZ0RDfNziMc2w+Q7T4pk7Jdmz+mW9in/heH0XWVgdEA5Dor3qkLZgzbLRerhsbiysEXyLtZllMso4I7j2Ue7TBNPaTlDwbHcM1QLyOuE/eQTQA14gGIEpoWkC0/EJHU83vEY1iItDH5ruUDMU2jXESkjmVyd0RGVRjupU2xPoTGVgbkbWMEV1hptMbOGX2K2R9NiJ9mJSNxdioirgTmUVLiQbgiOjsjWqkskzzc4mQ0av4bG8S65aQuAicZUZI6hWRtZ0/IjqOrL2cfl30EKZFuHm06w0W7XP/QxqAO2+npBIJgUcfARGAjz7G+oIQEAL/joAIwFNAiADELiECUASgGxUiAIvBQgSgGxeMoDIRgEioIsdmIgDJ3CMCEEERAQiYhCIAtZcRAkJgjyAgAnCPNKSqIQR2AwIiAEUAFggoAxCzLpUBqAxAZQAqA9Cdx5UBqAxANyaUAYirXWUAYqagMgB3w65IZRQCFwcBEYAXB3d9VQjsSwREAIoAFAFopiPAZjoCTM5x6QgwzIs6AqwjwG5Q6AgwLh91BBgJMB0BJtmumy7pCPC+3Iap0kJgjIAIQAWCEBAC24aACEARgCIARQAWMSACUASgO/FIA1AagG5MSAMQl2fKAFQGICAgDcBt28foQ0JgLyAgAnAvtKLqIAR2CQKbCcDr/uSvLJ7bZAIyjX/BbcV4/CcJUXQ5iHEzPVNFsfzVdgOQqvllMe4K0QOaCVDYfi5AYftehkc7v706D98cjdB4wojYc9pEAWy/gsJOUw0s30SE5g6hU9eiYMu9OpRvtY1ZJ/6q0xZEhz+rkIuzaFAyU8O2yYle1aEYTUASIoDfStDIYKGGR0rv7GJbDDNsi9EAr1UnUKNvroLi/qNhGaeEmAx0W4ivEfV4pvXtRXi1XsW2HiRYh75r5FL8FTDENvOIeDrxBbFKjG07RUwgmgGWL3WMZkJiinHfGpq21Ijhz2VTqxDDfcPjpJdW0QEgT7H+yz0cJ3pOuxYffKCFZjHddVT8r5A2OzKF8Tns43g3bJevHam2oK6HYzSUGBDjkaMJujGsk75TjTDW+6Sf5CROLm8gxhsZxvv317AvBqs4flZwqDDS7Sxw4ocZHnnEualH2svVEywAH81ivztwEMcn4lFjYYyGD4cJTl9vo6vICpmzfGKqEBETBMePaBw3vuOgkFaJ2QF2V/PJ+OSzcYK4VgyIuceAmBkRnxmLiAlMvIILnsYDeK3SIcYgpL9HOH2aOQNeRtwzEmJ4kQf4zTDA2JlvYGAPiSEXgc5qhAHsDYhhGmmfZh2/Ww+xwU90JwBQn4zRPcdYbaaKYA4HOD8bmceNeCANMrzIMvuimKx3iNZILcSxrUnqf9v92Be9NpZlOI1tG1WxvwdOn52q4D11H9+VknO8PUfvtGio9Q5ZK5NnvU3z7qC/aLd+TiYgu2T7pGIKgS1FQATglsKplwkBIfBgCIgAPIWOCEARgNBPRAACJCIAzUQAEmIHeXcRgCIAIVBEACIZKQJQBODpjiICUPs1IbB/ERABuH/bXjUXAtuOgAhAEYAFAsoAVAagMgCVAehOQMoAVAagGxPKAMRlmjIAkdhUBqAyALd9Q6MPCoFdjIAIwF3ceCq6ENhtCIgAFAEoAtBMR4DNRACKABQBWEZAR4BxRSMCUASgi4COAOOxfR0B3m27IZVXCFxcBEQAXlz89XUhsK8QEAEoAlAEoAjAIgZEAIoAFAEoAnAzAtIARA1MaQBKA9AdJ6UBuK+2TaqsEHhUEBAB+KjAqpcKASHAENhMAP6HD73f4oWzQvDrER6LTGP8S2cvw6MOPjEyaERoUBBleHRkyitrwjRyFGfOHcOCom5tImy91sM69InhR0JEnLNp/O78JJIE7QEx6CDGJU0iip2QevSIScXGBhoZmCNi7aXYNmkTRawPHlyHUIgMHT9OttB4YS5Gsa/AiFB2jmXJiKL4ygANT+rEVKLVR4wnaigyHhDca165Hbt93NR118kR4ATrQMLE6rNExJ2YNnRG2E/aLdKu5LMxwWS6huLuGcG94mO/C4iDyMjZ7cdEAH2p3cTYIcL2sw2MkwliRvKY+gl4X0J8a77XOQj3dYlA/4lVNNXwemg+MkdMb66soZPBYhfft9Eut1k9wHEiCogxEHHKWEsw7jwSwz5pizjEdu0TIweflOX+3jTgOTqOsVhvYTD6VWJ6Q8wdqusOUUAcdEYk/IfEn2AwjUExeRDH4gMNNGRZSnAcS3ys13wNjVu+tYpxN1rBAoZ9ghPpxyHBKXdgSmr4IDMBCoh5RpgQkIf4vpGH1xJiepWjPJtFG/hsFT1/rNLFNquQzk08tCxq4zfctzEjEzZ2eA3sJ80KXruyju1/5xK2f0DGE2ZIFRKDG48YktTJumCGzLMnejj2+mTu7TomIPNVHIvrPo5PgxTnxSFx0GkT86GZGprvNANiqkKMRuZCNG+bJM/e2r4cxqzjxBhlkpjNTRNXmd6wvPY4TO5hOJ3ooxnLBqlXTNySNlJcA3ibjFx6nSX79Ed+blzP++67zy699FJtXISAENgnCIgA3CcNrWoKgZ2AgAjAU60gAlAEIDJRIgBdTEQAmokAFAHo9gsRgLiaEQGI/UQEIPljjAjAM51HBOBO2BWpDELg4iAgAvDi4K6vCoF9iYAIQBGABQLKAFQGoDIAlQHoToLKAFQGoBsTygBEEksZgMoAdPuJMgD35ZZKlRYCF4yACMALhk4PCgEhcL4IiAAUASgC0ExHgM1EAIoAFAFYRkBHgHFFIQJQBKAbFToCjDEhAvB8dyO6XwjsbwREAO7v9lfthcC2IiACUASgCEARgEUMiAAUASgCUATgZgSkASgNQHdMkAagNAC3dZOijwmBfYKACMB90tCqphDYCQhsJgAf+9/+2sIDC2eK1clRsNiIuceImGoQvweLQ9SZq3l4bT4omxv4RMR8dYMIu29geTNi5EC8GGxEDD8ak2iyMFNDQe0H1lBQP/BQAD0jIuvpKgpvZ0QonEi7W+60RdBAM4IwxieDAK/NEsHqdh/F7meJXs9qH5X8R0QUu0+ArxJzi/k6Yrw2QrOQiQhNQHqOAHoRzHXHVGY4wDhZXcZ4YqYqeQXbdXoaRcwDYtqwTgxpiBeHHWjg+2o+tm1GHEk88sJ6iEr+PSJG7paZKCBaM0DM+8TIYsLH+1JiPDAVo5FD17B9/ufqJTBchsS4ZtJp6+KhAzni2e1gzMYZjkVLPdzs1Rw8N4b4riDCPtasICY+MUFyPGvG9T4coUFBM8B+0vIQu290jgB2y4tobtJYJNlexJAlCvG+xgBvrHacCCJjMfE1sNZj0aBh9hAeMTQytvVI7LRJrIcRtnWVxPY9d581xTpd68oS1p/1FRLudMpPGuWnczL++8TdIsSuYx5OWWboxWCea9BS6OCStjYcdqxKmqJCzEJqxKSk3kOkQjJXBsRUJXPK0mligYcEOxYn7Jv1GGPC28D5OcxIa1eI3h8bA5rYGLUYwVsjc+qgjx2vStZU/X55DJhskABwnWfM7FANDXRWRyiNMSTzTpXMMVViPjUb4piVEaMR1p/u6s5A/2mliMklDXSkGaS4lun0ynM+8SOyKWJc55M16+IQcWIZgOsJxlMvO5s92O+ctC/9Xz8zrqdMQHbCDkllEALbh4AIwO3DWl8SAvseARGAp0JABCBuEkQAEidKEYAwZooAFAEoApCQgozFICsOEYBI5IkAxDFFBKAIwH2/YREAQmAPIyACcA83rqomBHYaAiIARQAWCCgDUBmAygBUBqA7P0XKAIQpWxmAuIpRBqAyAN2oUAYg/lFVGYA7bQek8giBnYOACMCd0xYqiRDY8wiIABQBKALQTEeAzUQAigAUAVhGQEeAcQmkI8A6Agxkn44AQ0fREeA9v31SBYXAliIgAnBL4dTLhIAQeDAERACKABQBKAKwiAERgCIARQCKACwhIA1AWD5JAxAJUGkASgNQOy0hIAQeGQIiAB8ZfnpaCAiB80BgMwH4uE9+wKKDZ0XPV4m4/Sg5K1h8+jNp4sMX56dRoZyJojMDkcvj9dL7Ol3Uwzl5YgoX5utYtuEUburjKWJQQMxNElLgIMSjPr0hCu8nXRSnDtqIk0/EztMYz92lRPB+eqZsbjBdwyMnSyM82tpPsLw/MI3K9t9fmwWMR33S/gO8Nt1Ese96hGLnB+soPM7MPW5roZFBM8Z2XGyjaUPTyU5obaAgeLaOmHg1jB1mbhNVcZfMjFaaESr01wN8NiLmFmsDNEHxqRg7GihUyDeOEfeF2DFGmCbGMBERQB+SeDoQYrtWibvFaoL1WklIf+/jfQ0i0P6YGAXgp0cYJ/eT2J40bB+GU8sRck9D7NcTTfxmRAT74wzHk04LN5OHCZ4jMu4e72L8r6/j+zJiZBB1cWPvE83LOnGLaG7gs5FjSJNUcVzrzOC1+AiOY+EEjh1BjH2HjXfM8KNZwba+8wQafsTfx7YNWlhmf0TG7Do+O2oiTqmDMfFOMJ+Ye/jYxcxHI2sLlvCbGTHtIL5N5pF5sUneVydDZYNcazLsfFI+Yo4zct7XQkk4G9bIUVySsEeqZZUutleFGHdlDfINYlTGvEJS/IQRXwjzfBJjxFSEeE2Zdcvzcd7AOSHLyFqErG3SnOjgElmA+SYxwiLmLnUfg6I1wPGJrTO7A1xTjUiZn3DwHli3pBnO78vdsnnbkJSjSgAOA6xDn+BUi7HTLg5wbuttmj8H3ZP2lf/+n8bllwnIeWxkdKsQ2AMIiADcA42oKgiB3YKACMBTLZWKAISQFQEoAtANChGAZiIAkQEQASgC0B0rRADiKlAEoAhANypEAO6W3ZLKKQQeXQREAD66+OrtQkAIbEJABKAIwAIBZQAqA1AZgMoAdCdHZQAqA9CNCWUAKgPQjQllAGKmpDIAtdUSAkLgfBAQAXg+aOleISAEHhECIgBFAIoANNMRYDMRgCIARQCWEdARYJLtqSPAsObydAQYMAl0BBgw0RHgR7Rd0cNCYE8jIAJwTzevKicEdhYCIgBFAIoAFAFYxIAIQBGAIgBFAG5GQBqARJ9QGoCwiFUGoDIAd9bORqURArsPARGAu6/NVGIhsGsR2EwAXvGPH7To4MKZuqy2UXg/Z6LQAzwmFU2iCH4jRuXxVg8NGeqOWH5KjCdsA49s5kQ4uzaB5TjSXIP2auf4vr6HotNGRKGPrpTFpMdkyjIaY/hMeD3G0HFF4Ys7phZQ8f3yelnxPfDwaNJ3OgfgA70RfvTw1Abcd2JtEgtHXCGzBBe/sw00AemniOeVk8vwjYMVLMs9w7NxefqB9QTFwzd6eM01wUhZvBLR+XqADbZGhMK9ALNkZupY/yPVsrlNUY+6h99YGjYBkzDHb4wyIopOri310AgmIGWedso8U0Fh94S4oCTEPaBiGCjrxMij1cf2anWIo2IVheyvnTkBOE3m2N8rA+wX96xhPI2I4P866Ss9zxnviLlFTATQRh6OCZYSR01isjGRIJ7dFvbj7hpeS0lsezFqcSU5cyjAMlc7eF+VyGV6zXKZo0liUDONpGtExuyMjJM1ZgKUoglKK8V4YnE8vAfnu8oxjJ0hM60gK4CkRgw/CHnkO2YpQYrfZCYg+TI5nnwvtlflXhw7iH+MJThMWEgMNBbuw8rWSWjXA3x4okMcJMg3ug286Hr5kKHeELnC3Ry/GZCpvdomhhekXhm5lpN5kUx35mEXMHZfTspH/JeM+CqZ293J9GyjiLQDWduRJD4zYlIWEExiYlwWkxf6I4xjMi1aikO7dcnYm83hjc0KzrOhY4TSWcEOwIxhqJkdMUuqTKOZUUKCJ1k7uwbu9xfti5/7iXEHkwnIrt1WqeBC4IIQEAF4QbDpISEgBC4EARGAp1ATASgC0O0/IgBFAIoAFAHojgsiAEUAugiIAMSYEAEoAvBC9iR6RgjsVwREAO7Xlle9hcBFQEAEoAjAAgFlAGJGhAhAEYAiAEUAigAsI6AMQFyoiQAUAegioAzAi7Ch0SeFwC5GQATgLm48FV0I7DYERACKABQBaBbpCLDpCDAeARQBKAJQBKAIwM0I6AgwOVKtI8Cw9BcBuNt2QyqvELi4CIgAvLj46+tCYF8hIAJQBKAIQBGARQyIABQBCJNfIgJQBKAIQBGAmxCQBiAMkyNpAO6rfZMqKwQeDQREAD4aqOqdQkAIUAQ2E4BX/fe/LpmARBVUtvaICcZKD8XTJyIUdw+JivUKMSgYDcoK2ETD29g118W0qHA1wDo0IhSJ7hETkJk6HoFcT1GN/uiJWcDWHyKZEBAR6+E0ypZPzqCBxOXVsuFH8cGDQVm3j4nd39Y+DGVrt1EU32ei4MQsI6wRFXMigD5VwfbvDBC7SSLOfbiOZhn39WegHhvEpIYF+dx0u3R5OESFdS/FrAZmvEGk082IsHkQYLteXsM2HBEDjdUBipFfRtq/RVT779nAWEwJiTPXxNiuR2Wh9HqMbeiRjtdK0MhnjYwJ7RbG3XwVY32CmK+4vhtFg/5A9SQ09yEPzXKqI2yL2zewX9zdxhjzyPhxqFFux3ty0v9rxMgBYbL1UQ3qMOwRx4sVNCmKW2SMGeJ3Y6Ko33cE8ItC9If43XgDBfozLLJ5h1Fkf6pR1sDyIixbSOYY4mNjQYjPMk+Ve1vYhswwivhOWAX9iMzvYo9vTyEmCTHVyYnRSkjGGWiePr4/PEmMEtawFv4ijoDhcawD8RSylHg+EV7DFo7jN6rE8KRKDBqaS/jsqIr16DSwzAPn0hC7hLF2JbcZM0GqEFMV9g1moEGGcfPJvOgTo6GkTkxaSKEzMvV66GdmQ8d8hRTDhqRtwh6iFxLjsphky5MmtArJCgyZuQkzWiETeTJCnIYkkMkyw8gwa+YEd+0kFiTG6cmMDM8RKVvATFUqiHGjdXZs644W7e++9x/HtZcJiDZtQmB/ISACcH+1t2orBC4qAiIAT8EvApBQWyIAoW+KAEQERACKABQBSEg2EYAwfooARAJIBCAugZmbswjAi7pV0MeFgBB4lBEQAfgoA6zXCwEhcBYBEYAiAAsElAGoDEBlACoD0J0blQGoDEA3JpQBiDGhDEBcVSsDEMleTxmA2n4JASFwDgREACo0hIAQ2DYERACKABQBaKYjwGYiAEUAigAsI6AjwLgUEQEoAtCNCh0BJsYoOgK8bfsYfUgI7AUERADuhVZUHYTALkFABKAIQBGAIgCLGBABKAJQBKAIwM0ISAMQF3LSAESySwSgCMBdsuVRMYXAjkVABOCObRoVTAjsPQQ2E4DX/d1fWXxg4Uwl6xNoAmBEjP1YtwnANAN89vg63peuoqJyPpGW3veY+VV4f0DMSFaJoYhvRJspI1Lh5FItRtXt5SEaGXSZaH+Kou3MGCSfR5XtiRivzYWoRj0XlM0tmkFZdL8A7fYemh2cWCRC+cTcwauV26F432wdy9Hto2J5lRi+JCMisu3jNxqk/p0UHRQ2OuhGEFTxfUcmy6YirSG+KyPt1fDRtaVClN1bI3xfd4SYHKmXTVsKPKuGbX28OwXx3iEGDckIFdUjYj5ymVP/4uVJjvHZz8vvqzqmIONC4WO2MkAToA1i+GFExP6H5o5CXSPSZx/ooc7e4ToafjRJm9USjIkRMYL5PjEBma5gm1XC8thWq2Ib+sQEpBXj2PHN1qVQ/+Q4xnWMXduCAOvFjEG8IY6BoxExlejiNeJ5ZIM5VOg6coSYFDlmPj3DeF1N0fBmuoJjTOLEZgHa91fnAbtwGeeTkJgvZdgURkLHiL+NJfP4wioJ7lEHx7t0HTHw3X6xgc9VThAzFlKvgJhsBDh9Wk5MS/wGtmuFxMkcMRqpxDiBRsT0JmIeUsSAKiEicO6jxNvIwpRM5ITFZCZiHjF8IMU15vjKzD2iASkLcdAloW2OD9o4zgfMQKSNfbvrtEVKjDxGxAQkIiYgVWKCUyFzQExMSxrkuyEx0MjJNaYB2CdrTzK0G/HjMLJsMzdUKitkTCT9JEoQ8+YaljjyiElTHft2vXf2fZ3Rot18l0xA9t5OSzUSAg+NgAjAh8ZIdwgBIbBFCIgA/HcgRQBCRIkAFAEIQSEC0EQAigB0+4UIQBGAbkyIAMRFqghAEYBbtHXRa4TAnkNABOCea1JVSAjsXAREAIoAPJXZhX/VFgEoAlAEoDIA3RhQBqAyAN2YUAYgIUCVAYgZusoABEyUAbhz90cqmRDYTgREAG4n2vqWENjnCIgAFAEoAtBMR4DNdAQYj8brCDBOkCIARQCKACwjoCPAOE7oCLCOAO/z7ZWqLwTOCwERgOcFl24WAkLgkSAgAlAEoAhAEYBFDIgAFAHoziXSAMTZVRqAiIkyAJUB6EaFCEARgI9kb6JnhcB+Q0AE4H5rcdVXCFxEBDYTgD9481+XTECsgSLzJ/so+J8kRDw5Q52odB2Von0iFJ3Wy8dR5w8Q84QoAdTWmdIzMfzoE4MCf0AE8CNSByJ2nYV4fDasEflwop9WJ0YjNcO6BXjJqs59G8SMYmkVjVeCDhZkNEUE4CfRyKVKjAdaHVTU90h5Iw+/UQvxxiExC0ky1M7JiXGHV8Vv1OvlIBtlWP8BMTI5NFU2DykCrkoqtj7A+nf6eNbpQA1NK+ajspFL8Y1vLh2B2E6IacVEA9vn6kl0Aah6GIvtDBX63WurIzSj6CdoYtAfYqeIScDWA+zsT2rcB3VdTSfg2okhGqPUyRiQszgZYuxYgpszn7Rtl4xts5VyOx6oYZwww4/jHtbh/pU5qGtllYynZIyJiNFOI8W2HqxjLGak/qmPmGQT2D95H8OsuIMTZVyWEjT8yMk3I2LwtHhyGnBqHkWcahvY/70A65U0SF0jvNafwzmwPoWOLOmQvI+YqoyO4lgRbZSf9cicGC8TiQbyzeoDeF+8jAuMnGCSNfHZCjGeaHTIN/CSBThU2Ij4T3kktv0+EeV16svMOEgxjHgxGJkCzOviN3NmWkJMRSLSnyqkHfMGlpAMWdYna4UumVN7BCeITtJeg0my6CT1qjmxWTxFfMAsJkMs8RCzCqmDEUMe1j4DZhZDDI4SYtLRRg8pc3t2QLAMMrK2S8kao4vXGsRApephp4j9s+AVJiC33CETkIu4JdKnhcBFQ0AE4EWDXh8WAvsPARGAp9pcBKAIQLf3iwAUASgCUASgOy6IABQB6MaECEBcO4sAxH4iAnD/7bFUYyHwcBEQAfhwkdJ9QkAIPGIERACKACwQUAYgZrGJABQBKAJQBKAIwDICygBEYkcEoAhAFwFlAD7i7YleIAT2FQIiAPdVc6uyQuDiIiACUASgCEAzHQE20xFgJLtEAIoAFAEoAnAzAomOAMOiVUeAdQT44u5k9HUhsPsREAG4+9tQNRACuwYBEYAiAEUAigAsYkAEoAhAd+KSBqA0ACGzSRqAsL5TBqAyAJUBuGu2PSqoENiRCIgA3JHNokIJgb2JwGYC8Bn/8D6rHjwrSt8hf9a9c3kegPCIqUQWEjF2Y9fwOE3imDtEddyYV6p4bUTUtInGvI2WiBB7h4i4ExHzZA5VwSeaKAo/VesCToMcX9gZoBlDJUecpgwVxbu98rOtAYr990Z4tDUxrKs3gfVqVPGbsY+45zkxFRlhXdMhEe0nRgYpM/cwjJNOG4+oVqfQjGCYlxXKM2Z2QLr3oUk0n4mJUUSrj/FUJ+42I2IoYcSkZrmDZgkLE2gWEnqIyWSAxiC9FGPgQAWNKx4YlhX6F/toxuEHGJtsZPiY8EkAACAASURBVGyEGDv9PsbE/9K8Bx6/s38QXxlizPaIkYlH1ON9YmTAqpHliGdvhDF7qFHGrhpjXe8nbgdrxEDJI7EeEuMBL0bcIxx2jJkqGRmLpydxfJqtdAD3oz10C2gT05fmBBamVin3xZCUYzVBU6nVFsb/5PfRZSAeYXvV1pGwy5oYdwOcxsioaGbzOJ5cMrUKOHXI2Lu2juNTdjfW1zXpIEOiVYgJiD/APlEhhh/xOjEQITE2quP7YmJkQPwpjM2zATGGyIj5BM5aZhViyBH0yvUY1LC8gyrWlRmDsFHM7xHjETK4eQSACMPOQh+/TCAhqyKzYYpl6ZJvtEmRR/3yd3MMYRs1yRqAmGxEOJ1YhcUEWSuR5YM1SNzlk6QspNFGZHwepHgju9Ym5jNuDORkfAqImZ0XYkMQLzdr4hRr1RSBCqtn5+fuYNE+9j9lArI3d1uqlRB4cAREACpChIAQ2DYERACegjoSAQgxJwJQBKAbFCIAzUQAIqEsAhBpLBGAuIwRAUgwIas9EYAIigjAbdsW6ENCQAhcBAREAF4E0PVJIbBfERABKAKwQEAZgDgCKANQGYDKAFQGoDsyKAMQx0plACImygBETJQBqAzA/brXUr2FwEMhIALwoRDS74WAENgyBEQAigAUAWj0GJYIQBGAIgBFAIoALCOgI8C4/NIRYMRER4AJJjoCvGV7F71ICOw1BEQA7rUWVX2EwA5GQASgCEARgCIAixiQBqA0AN2pShqA0gB0Y0IEoAhAiAlpAEJQSANwB298VDQhsAMREAG4AxtFRRICexWBzQTg8/7pv1h9kwnI/9s9AtUerqJpBcWGGHccrqMqcqeP2kldx7giJoYfkzVUpz7WwWyVtId6VQERTw/6KESd1FEqvD5HxPNrKJ7fzXBFnOf4jZQYl7TbaCrhd1E+PFx3zC1qWN7aNIrzdwy3cEzbLQrR8KOXYHtViCi2Twwq+j18tk5MRTJivDBVwfZe6qJZQELwzEcOTjESPY1ZbNdrJo9DaK8O8ZsrXRT7NyLi3u5j32H1qvgoMj5J1NiPtqegfPUADSlGKcbOJXU0MjiZljP+jpH3L0yjLuI0caNIiBnHnSfPGgydLvjjphahDksjzDzcGCHGARGtb5BYrBLx+IwYsoxI3A0T7LMTTiyu9NDYISGY5+ScJDMUCIb4zaCCMREQE4y8h22dEwORxgT2p8c0VqAtvnXiMA7vPjEpqmP/6XvlslSq6ABwbGMa3l9xxrXihsljOBYRzX4LiZVHOkkoq8uxn2QdcjyvgffNTOB4v0iMSwbL2N+ri1iWqmPw4ZP2r6wQIw9iIFQ7SYwniJHDKCLzXYjP+i28j0xjluM0az5xvIhIn62SF5Ip3zwnfIh/lvWnMcaSAZnviDFQRMzMAmK84ROyy8jcG5F1RkSMRsjwRCy/zDrE4KRTwTZLnfhha5sAu5MZmbN9x1Ck6ItkaDNmXMMyACvEzCkm13JSLzLc2WBATEBGOD51iWFM6nwjrxBrGBKIcQ+DghkyVQbYAZrrZGxvnF0XdYeL9rFvvXg8Jt5333126aWX7tWth+olBISAg4AIQIWEEBAC24aACMBTUIsAJC6jIgBFADoIiAA0EwEoAtAdGEQAEp5YBCCAIgKQOE2LADwTJyIAt23row8JgR2HgAjAHdckKpAQ2LsIiAAUAVggoAxAZQAqAxAzhZQBqAxAd/ZXBiCuh5QBSP6ApgxACBRlACoDcO/uplQzIfDIEBAB+Mjw09NCQAicBwIiAEUAigA00xFgMxGAIgDdqUNHgHUE2I0JHQEmCywdAQZQdARYR4DPYyuiW4XAvkdABOC+DwEBIAS2DwERgCIARQCKACxiQASgCEARgGUEQmkAwmJEBKAIQBcBaQBiTEgDcPv2MfqSENgLCIgA3AutqDoIgV2CwGYC8Ic+8kGLDyycKfnxHorxZ0xknYjMNxuoPD4ToCHF0gaaKlSiskJ14uGxiR4x2UhbKLruEV1nmyIK2OS+gBgKTBPDj+kIj492iVnG2hCNDJgxSGsNTQWiNpITgVPmhIhYVybQxTJF3WxLiKB8luM3U2LuYMRUxPPxI2GA1ypMZZ0YL8zWMHZOrjSxlxFzh7xeFu0m1bKohuLx8/U2bn5JnCx1MIZHjvFI8SKMYrN6jLHYjDDrKE2xLZiBTmREtZ6UeSLG/jlyVPsTH7/ZrGM7DHLMdBgmeG21hfF/qIamIit9xLOfocvAwiT2uyqJpzXSPpGR+DQEqt1F45qkX66b30OckmnSDsRkISftGrWIaQV5NiYx6xGDjpCMY6x9jhCTpjuPzkMfyBJiFkFwHwXlemQptmGlg70izIhJz0niZFHD9yVz6NCQTeD7Lj+IhicDZlIUYl/sEKOh48fQgKp6AtuxskawcwyDyHRi7Brx+7EY/UnMwynAiD+B9UmMBcvEBITMHwGJCa/K9N5wyI5qZF4gJh2+0xQ9YooxIHN7RsY/b4htE/XxWozNb3mdGLKQ+S4g7/NJWxip64iYpZAi24gYWpmzHvOJuVFAzEgS8s2UYJc9zDpE5NkKMYupMF+5Kj48IsZaA2LeRo1BSGynTvx4U7gG8J216PiPpWQoConRTDTEOXBiFcenyqb1U6EB+PFv/MdxJ5EJyC7ZRKmYQmCLEBABuEVA6jVCQAg8NAIiAP8dIxGAuNEXASgC0EFABKCZCEARgO7AIAKQkGIiAGH+EAGIa1IRgGeJZxGAD71n0R1CYK8iIAJwr7as6iUEdiACIgBFABYIKANQGYDKAFQGoDtFKQNQGYBuTOTKAISVHMt4VwYgIfuUAQigKANwB26MVCQhcBEQEAF4EUDXJ4XAfkVABKAIQBGApiPAZiYCUASgCMAyAnUdAcYsaBGAIgBdBMgxZh0B1hHg/bqvUr2FwIUgIALwQlDTM0JACFwQAiIARQCKABQBWMSACEARgCIARQBuRkAagLiskgYgWWqKAARQpAF4QVsSPSQE9i0CIgD3bdOr4kJg+xHYTAA+9s9usWjuwJlC9KbwT/2ucHJxc72Ox6QmiNjNNFFP7g5QZN89YrSeVgGYtXU0Cgi7KOKdE2HrykE0MqhGeAS0N0LB5pDY3UWGRg5hjmRCn7xvZQMNP2wNz8lkxODDNa7IiJHHdA0Vq7sDfP+gj+1gxKCgMoVt7RFzjzhGE4Rhgt9txIh7t4uq4AExbch62D4eSTuo18uq5az+PjFKSInouEfK0etivQJSjmYD1dMHBJOQCcqTrJthnxgeEEOKyMf4XKijW0AnLccA8d2wuI7tNfJR7H+ZmPsYcZ+phvi+yMfYqREx9tTDDIucGNIYMa6JyTc21olJT5uMAe7wQfrdaBL7f87albUXEejPiPFAYwHbcIa0a0DavzvC/n7IX4dx9htHj8C1ETHu6BMDpsA15CFDXURiIh5hsMcjxHNwANsmmcf7mk7/Lyo0H+C46BHThmkfjWa+uzQHmKTHcQyIiYFGjFOPVVsO6ej8u/gtGZ4sJF5WzOAoIff1yHjSI+N41sK+zRxfKy18YT5FTECwy1qN6e8SxyR3OuoR85ABmSc90sf8Go4xFdI/iacONXPKOhiLPg5tluJtljHcQwQlI/MRK0y1Um5wj8zjGXEUyStkziZtMyKmImztEZC2mHLKVsR2QOYxtw7FfQMyjreIm02fmIiNiFFdpVZey1w5jcZAzFTpeBfN8dKUBDZZZ8XEQCjqnR07er1F+9SnXjweEGQCsv37IX1RCFxMBEQAXkz09W0hsM8QEAF4qsFFAIoAdLu+CEAcDEUAmoUiACEwRACKAHSDQgQgjp8iAJGNFgEoAnCfbbtUXSFAERABqMAQAkJg2xAQASgCcPzXdWUAQp8TASgCMFcGIASBMgCVAegGhTIAlQHoxoQyAMkfBZQBuG17G31ICOw2BEQA7rYWU3mFwC5GQASgCEARgGY6AmymI8A6AuxOZToCrCPAbkzoCDAu+HQEGM9siwAUAbiLt0YquhDYdgREAG475PqgENi/CIgAFAEoAlAEYBEDIgBFAIoALCMgDUBpAAIBSpaLIgBFAEJYSANw/26sVHMhcAEIiAC8AND0iBAQAheGwGYC8Oo//KhFs2dNQOwxqFjuTaCGixeiAHh3iH/9DDO8L8pReLo9KJtAMPOMfEDUtNEDxKyO7798DsWeE6Ke3hlhHUhxLSAXV1qoeJ8McJFcaaPK9ny2BI0ZT2BbrOczpfuWO9PwXEDqbx6WI2uhBiDxSbB8Btu/WsdrKfsGMWhoOELcRQW6a4hdgM1oHhH29j2MsZl6OYtnRETROySe+m3EJCNuh1bFwh2ZQ0OFSxpr0D4nhlNw7WQPRcYniElNp41mKfk6xmyzhrHzhMZR+G47LRNg940wnnKi2N/OsS926JFybJtDzQ0ox4EIrw1zrNfJYROeHRmKsTeI0Uhs2O+OHy/3p+Ll0QbpK46xEDNeyImJgc+cMonhB3nU0jl0FJifQbeInJjPJMQpYJAgTnGKcXxyETG2+7FfVFawbUeOCUSGvk0WJfich2Ft2QSikh9ATGoxjkWTIRoXZcQ8YNgi430LcfKPYbznmChoAbkW97G+zZVy3RpYXKujZ4kRnwjLiKlKn4ydq1XEc52YamRd5saBa41aG+sVRPhsSKbtypA8S5YzQ6fMJHSsT+rA+h0bxwJixuETY5CMmExQo5E21p96RcxhAzHDIK+NsRiS9VgtcMa2Nsa1T9YiKanrMCb9muBkxPRrksztDeKqMiBGaMRXylIyt/e6GFCki1lOzMsmq2VTrgZz1SFxOFXB+bQ1RKO6gJiWHAzRCCxNzo6n7c6SffD//PnxV2UCcmF7Gj0lBHYrAiIAd2vLqdxCYBciIALwVKOJABQB6HZfEYAiAEUAigB0xwURgCIAXQREACKJKQIQ/yItAnAXbpJUZCGwTQiIANwmoPUZISAEzEQAigAsEFAGIMkkUAYgDJHKADTLlAEIcaEMQFxNKANQGYBuVCgDEDOvlQGoDEDtxYSAEDATAagoEAJCYNsQEAEoAlAEoJmOAJvpCLCOALsTj44A6wgwLEbIkWIdAcZsL19HgCF0dARYR4C3bXOjDwmBXYaACMBd1mAqrhDYzQiIABQBKAJQBGARAyIARQCKACwjkEsDEJc3IgABEx0B1hFgNyikAbibd0YquxDYfgREAG4/5vqiENi3CGwmAJ/2X//KqvMLZ7Boz+NxjayBC72UKDYPyFmXTg/V3Uc9ogreKWddeERRPyNmBFEDReEnqqiovlBD8fylASrUe0QUu0uc3YYj/Ov/gJhKJAO87/K5ByD25lsn4NpggBp97Xi+dN+9GwfhuZCYgNQriNP6Kqk/EfuuT+JfsOsVxHi1h0Ye2RDbmpmUMBOESoRxx4wxshSfjr2yMcBwhFk9a8R4JCNC6Rl2CfMnEM+FyTa2ax2vdXMUD79nfRaeZaLoPhOFJ6YSB6fRkOTyAK/VrIzTUo5mJHcNUBewz8xyiFB+WsM2nG0gJr6h8HxCjFtaQxxPMiK87nVQBD/CMDaPmAh5zGnAFdlP8MGcxGFI2sac48RFw+dNxCmqorlFfQKdIZghSxgRkx6C04CMbfkxjM8GDllmhBSCYZv5STTw4mgBOxkzO7h8Bk11BhmOMcMUr/W6OJ7m92M81U6QY6zYdczpOuP+G5P7QoJTw2lG4pVizBiENKsR7y1rkSl2lZg74KxolrdIoxEzhkqfuAWT2A6JEQ7xhTDiF2WJA0xOxuJhHccOZqjBjEECMiawbxAvM8tJvTxi5kKKbGRos6RC6oHDmEXECMt9NCZtw0xAhlUy7laxxDmZdzKyVvLIGq1GDONiEk8eGVPJJRsQQEl1bXYWo3suLrv0tAa4ZhklCPpkFcfdYUI6GVkDzxBDKn/T+NTpnLS//ej/Ph4/ZAKyb7dlqvg+RUAE4D5teFVbCFwMBEQAnkJdBKAIQLf/iQAUASgCUASgOy6EIgBhqSICkBCgIgAhTkQA4h8LRQBejJ2PvikEdh4CIgB3XpuoREJgzyIgAlAEYIGAMgBJxqIyAGHcUwagmSkDEOdDZQACJsoAxIwyZQCSrkMyj5UBiKAoA3DPbkNUMSEgBEwmIAoCISAEthEBEYAiAEUAmukIsJmOAOPAqwxAZQAqA9BBQEeAYaDQEWAke3UEGKVGdAR4Gzc3+pQQ2GUIKANwlzWYiisEdjMCmwnAZ/7V/2HVhbO6cscnmO4c/mU2JPpsvRHRXVpDjSWPaIX5TjaJT3Tspid6AHslwDSUYYaLsNlqWfuleNGdy2U9veJaluGxnpyUNydaeVEdz/8MiZzSZTPLUI8JbwOu3b2I+n5dK2etBUSHJ3LBNLODVdRdO9qdhG8yTbBmDYWSZiqI59EOvm9IBKo8bB6LQhT2mSLfnXc0fIoKnOziUebE0Wgc9DE2E6JFmbOsphgvHp7BM4GVAHXXQhKffUONoXuX56AtoirRQCR6QgkR/HpMjFppEwmWr+poJa57NSjHohNzxQ0dQzyjCr6/FmKfCIl43HoPSadLa6tQltURZm0eW5+C++r3Y/m8CDtjVsNNbLVOhMGcU1z9DTKukdjxyHiSTiNOsw0c24ZEs+9AE9uVaXEtpdgnFtexf1Yc7dUCyMYyYhKjBJalBM+gV36W6Z/1MdQtnMY4qZAxISfasEOivZoTjdZwA9u/eR/O5LVVrL9P9B0jHFIt7OD7fA+/60ZPlWixNYjGXISnCY1lSa1NYR028JJ1WMwSDUCmn0mS2Li2HdEe9MjEyOYF31mOeEx2jWBnNexjGavrcRyLM3KMF99m5vcJAUa+kcVkTUHawh8SPb4m0aMkc74rs+fn+K4Ul3ZmRDwvIfOzkbgjXdECst5pkHoFOM2YR/rYAIdZI0n61ifrsXgOx9SRo0kcDLCyZLq36jQOgFNEB7nfxwJPExHQfJOGbqd70j76f79sPHBIA3A376xUdiFw/giIADx/zPSEEBACF4iACMBTwIkAFAHodiERgCIARQCKAHTHBRGAhNgk6w9qbiECEJAi/JyJAET2UATgBS7y9ZgQEAK7AgERgLuimVRIIbA3EBABKAKwQEAZgJhOIgJQBKAIQBGAIgDLCCgDkBCgygAEUJQBqAzAvbFLUi2EwPYgIAJwe3DWV/YxAouLi/bVr351/N/Xvva18X/Ly6eOYr785S+3D3zgA+eFzj/+4z/aTTfdNH7fyZMnbWFhwZ761Kfaq171Knvuc5/7sN7V7XbtxhtvtJtvvtnuuOMOGw6Hdtlll9kLXvAC+9Vf/VW7/PLLH9Z7zvcmEYAiAEUAmukIsJmOAOsIsDt/6AiwjgC7MSECUASgi4COAONZcR0BPt/diO4XAvsbARGA+7v9VfttQMAjOjynP3s+BGCe5/bqV796TP6d66cgAf/sz/7MHuybd95555jo+853vkNfMzU1ZX/zN39jz3/+87ccHRGAIgBFAIoALGJABKAIQBGAZQSkAYhHMUUAigAUAVhGQBqAW7410QuFwL5DQATgvmtyVXi7EdhMxhVZdtdee6198pOfHBfjfAjA3/7t37Z3vOMd4+ee9KQn2Rve8Aa76qqrrCD03v3ud9vXv/718e+K+373d3+XVrPdbtv1119v3/72t8e/f+UrX2kve9nLrFar2Wc/+1n7vd/7PSvuqdfr9qUvfcke//jHbylcmwnAF918o9UPnFVlv7+CIvuLhgL97QTFs5MeXvOIADIzqfActfjHELH7qocK2x75M/TqAAXwGxUU9j9J7usMiFJ2B4+KziygaccPTJ6AdiIeGHbcw/IRTwX73soBeF/eLYtWNydRdX4mRPHr+RAV6+9oLcD7e6T+gds4hVFAhH/9HhD18MEmsevTH5ttoIFIPUSZ9UGCbREQ8aSNLh5bHXbLbRaQ91ODDmJkM1lHPOsB1n9ETBtiYshyvNvEOOmSo0OziFOYImE12ECcFjx8lrlWHqiX46cXYazfP0KtyLiBqvCHG2iMkjHThhSF19eICUjDQ4xPdCYwZpdwzKquIYmRLKAlBQkL8zPEOHQMTvojrENK/sjkEfdUZqrDxraEiOLPVnHcGRGMv7uMBkK1ZbRtiIlLR2jE3ICc7ctCYm7gvG9E9N+qJK5jMrZ3WzjveENiSLWObRG0sWwBMTKZOIl1jQgmFeI8UGVmIcRAggwV5tXK5QuaWI46+WZMzBiYQUOXTGMbxLWDeMCYkTqQadyMmEWkxATD8V0Y998MlwoWkFipOX3Ab5DYdB0wxu8njUhiLH0Ax92EmYAQF5CwTWKHxJiRtsjrhGR1DHQKnHKCkxETkNQZthPSh4fEUMPrYFAw456gg3XNfNLHyHg30cM3BlXiFkLe1yc4ZQRjMn3YYALL7Pp0kWWhEW8PS0n/DGaxM0ZkDbBAzMySztmxrdNdtL/7x5eM+4VMQLZ0q6OXCYEdj4AIwB3fRCrgbkfgLW95y5h0K/47ePCg3X333XbFFVecFwFYHNMtiMMkSewpT3mKfeELXxiTdqd/iiO9z3zmM+3WW2+1MAzHBF9BDro/b33rW+1tb3vb+HJBGr7+9a8v3VKQfs94xjPG3/nRH/1R+8xnPrOl8IsAPAWnCEARgG7H6osAhLFGBKCZCEDioCwCEPqKLwIQ/7hBnHtFAIoAxM6DmIgA3NKlv14mBITADkNABOAOaxAVZ+8jcCEE4C/90i/Zn/7pn47BKUi6pz3taQDUl7/8ZXv6058+vv7Lv/zL9id/8iele0ajkR04cMDW1tbGZOI3v/lN8338K2xxzPh973vf+NmCUHzyk5+8ZY0iAlAEYIGAMgAxXUUEoDIAlQGoDEB3slUGIFl+KAMQQImUAQiYKAMQT58oA3DLtjN6kRDY1QiIANzVzafC70YEzpcALLT/iqPDDzzwgF1zzTV2++23n7Paxe8Lbb9LL73U7r333pIW4D//8z/bc57znPGz73znO+2GG26g79lMJP7Wb/2W/ef//J+3DGYRgCIARQCa6QiwmY4A47AqAlAEoAjAMgI6AozjhI4A6wiwGxU6Arxl2xS9SAjsCwREAO6LZlYldxIC50sA3nXXXWeO8/7iL/7i2OTjXD/F70+bhBTPnT5qXNz/5je/2d7+9rePHz1XFmHxu+L47/T0tHU6nfFx4M9//vNbBp8IQBGAIgBFABYxIAJQBKCLgDQAMSaUAUiWH8oABFCUAYh/PFAGoDIAt2zzohcJgT2GgAjAPdagqs7OR+B8CcB/+Id/sBe+8IXjiv3hH/6h/fqv//o5K1n8/jd+4zfGvy+e2+zk+5KXvMRuueWW8e9WV1fHJN+5fp7whCfYN77xDVtYWLDFxcUtA3UzAfj8j/yp1RfOmoDcE6BBwaqPStStESpbZwkeZfZjPGY5SZSXG4540kKE5hbVHN8VE7Hr+7uzgFVq+NdqVodBH+sVRqgA/vSDd8E3VjM0o4hJXe/OZ+DZDQ+/u9JDc4N0WN511et45ugHm8cxVnBdbg/0MPaWu2hQMmoRFXMiij4z04LvJinGxKEGGpKkGR49XVpH84msTwSliDGIW5D5SSzbQgUNFY4N8JsTZFeXELHvVh9V1mPDmO0RA52QCLtH5FoywPo3EmwMjxxFW2lh287PlduiHWJfT9GLwRYInh4p7/IAY3g2QoOSLMH+eefi2XHpdHtmxATCd4xxzjVQsiwmnyneE7OErFbGeGISjWGaMYK+1sf6NzwUjw+J8UjNcOOYp1jg760jTt792Ghxgs96pG2NCPRnRIx/OIuxXYvLZX5sfRmao55hve5aQz3S9fuwL9ZWMU6qKzi4Vdbxmp/hs34FrzWweBaT2K4v4rNeF7+bRMSQpl6+L4iIGzUpb7VHtOOIGcWAjPfrxFDC8Uoat1VKtB0jYj5CPG+MFNmIrKqRqdICYvDhwGQVQjpaBSubV0jHbmPHDohZUEYMZAbEfClYxZEmJkYeHpmy0llsxxpOUZbh8GE5MdoYOeUjfmw2JL4b1iWDXZ8ED2l/MrVb2iD1GrHYJt8g405KYpaZWWXkG0PSt4Oh0+/I+jEmnSdIsLyjKQxGslKyKulPjU1aoZ3hon34335iHEwyAdmybY5eJAR2BQIiAHdFM6mQewmB8yUAi4y/17zmNWMIbr75ZvvJn/zJc8JREHwF0Vf8FM8VGYGnfwrdwK985SvWaDTGTr8P9lMQjgWBWPz0+32rVIiNG3lBQfA92M+xY8fsqU996vgWEYBlpEQAigB0+44IQBxNRACKABQBKALQHRlEADKXYhw/RQCKADwdFSIA99LOUnURAueHgAjA88NLdwuBR4zA+RKA73nPe+wNb3jD+Luf+MQn7LnPfe45y1D8/nTW3+///u/b6173ujP3XnfddXbbbbeNnYiPHyeZWpve+tKXvtQ+8pGPjK8sLS3Z3BxmerBCeOxP8+corQhAEYCbEVAGoDIA3aFCGYBmygBEsksEoAhAEYBlBJQBqAxAt08oA/ARb9f0AiGwZxEQAbhnm1YV26kInC8BWOj2Ffp9xc+nP/1pe9aznnXOqn3mM5+xZz/72ePfF8+96U1vOnPvVVddZYUuYGEoUhiEPNjPz/7sz9oHP/jB8S3nczRABKCOAENc6QgwQKIjwGY6AkxGYB0BBlB0BBgHUB0Bxr6jDEBlALpRUdMRYOgoOgK8U3eGKpcQ2F4ERABuL976mhCw8yUAd1MGoI4AiwAUAVhGQBqAZtIAxIlPGoBkMSANQABFGoAYJ9IAREyUAagMQDcqlAGoDacQEALnQkAEoGJDCGwzAudLAO4mDcCHgrJkAvKhG0smIN8YHYDHuxGmxGREeJsZbVw+hUrZR+I1+MZS3zl6STS8E2KecHUNzVFubx+B9/eJyUSaY73qIapdXz1xAt43F6B+4229w3BfQNTT7x4gQdlKUT46Pl9JcQAAIABJREFUiBGEenWTerSZzVWwHD9YewDKsZKgtt8d3YNwX3uIOpPtNVQiD9YRu3wBTRCmItRKC0iGVUwyFFtrE1A+r4fC21Wi2j9bK5vI1EJU9o8CNM9YSbCupGhmxHhkaQMxPhSjsnvsoXmCa4JTVPwBYmbjjxC8wz5+Y6WN9VgfoONDc6rcZr0YFeujJvaJg5OkDyfYXst9xKTq4/u6RLW+v46xODWJBiJrJD6NjB+1E8RBgFwazWP5pp3vZgFGxSU1HOvubaNswxSJxXYPDYT6xNxkOMAN9ugYtmtIzAh80u9ybB4bEYOCZBIBbU5jW8w75k2TOfb/dVJXFq/dezCeqitY/woxY5g4juUNfEJOEHOoSWLk4WHzWLSO78uIgUC/Ro5PO/MnKZrFAdahkuO7AmLk0Cfx3yImEBtTZHQjz1aJQUVMjKBGE6SukywrDq/FhFGsOBNDTOoQVAlOFRxj8w529tr9ON6xNhwSU6UhfsI84rThEYOXkPTFOjGuMRJ3OXVfLuNJimvMGCYhxm3Eo8dSYoKRsTUaMQEJiXR1XCXtT+ZUPyXH7EncZaQtRgR3r7x8spCAEhITlJQ02KhJxhMi610nOMWbArnQALzl/5MJyEPtW/R7IbAXERABuBdbVXXa0QicLwH4sY99zF70oheN6/RIXIAL85CPfvSj4/fsCBdgEYClOBUBKALQHbhEAIoAFAEoAtAdF0QA4hJPBCAhrEQAQqCIADwbJyIAd/RWUYUTAo8qAiIAH1V49XIhgAicLwFY6PYV+n3FT+HqW2QEnuun+P1NN900/nXx3BVXXHHm1kJHsNAFLH6+9KUvWeEKzH6SJLHp6WnrdDr2jGc8wz7/+c9vWTMqA/AUlMoAVAag26mUAagMQGUAIomhDECcfkUAigB0EVAGII4dygDEfqIMwC3bzuhFQmBXIyACcFc3nwq/GxE4XwIwz3O79NJL7ejRo3bNNdfY7bfffs5qX3vttfbtb3/bLrnkkrF5x2ZTjk9+8pP2Yz/2Y+Nn3/nOd9oNN9xA3/PlL3/Znv70p49/98Y3vtHe8Y53bBnMIgBFABYI6AiwjgDrCDAhMXQEGEARASgC0EVAR4AxJkQAigB0o0JHgLds66IXCYE9h4AIwD3XpKrQTkfgfAnAoj6vfe1r7b3vfe+4aufK3ttM3BX333jjjSUohsOhHThwwNbX160gCr/1rW+VCMLTN7/61a+2973vfeN/fvWrX7Xrr79+yyAVASgCUASgmTQAzUQAigB0EZAGINGskwYgdBQRgCIAXQQSaQBCUIgA3LKti14kBPYcAiIA91yTqkI7HYELIQC/+93v2nXXXWfF8dynPOUp9oUvfMFqtbM7g16vNz6ue+utt1oYhnbbbbfZ1VdfDVBsPgb87ne/217/+teX7inIxeI9xXee+cxn2uc+97kthXMzAfiEP/2QxXMLZ96/mOJOZ0g2P2kdN0lhHTOqnjx/D5T9YLAB177TLRt3rBDzgO4AjTJm6yhEvzrAAk9U0ASiSkwgIsN6XV1FE5AHBtNQh3vaM3Btqooi+Ee7juGJmXkhfrdeQ+212WrZ3CIlwunTEWLSzRG7BzpYh9DDcvSGEdSr18VreRf/+u/Hjup2cfTaQxXzOhG8j1awzEQ73ZqzZUyKwsaOmQvRDbfE8G01Ut72CHURwxxVx6MUddKujjB2khSP2XYy/MaJPrZPMsRnbYD16K8hdkZMZaZmyvHZJ4Y/PtnBxHWMzZNDdJQYjbCtKyG2Rr9FyjvCeLp8YRli8d5FNNXx+4hJ0CYGGpPYjpceWIFvLFTXS9e+1zk7Zp7+xbVTx+C54yNsw2aIfeK7x4mB0DHsY0lKxl30QbKgjfVKayRODuC1weXYPjEZi6araDVQ9cpx4ZPyrnTRoKa1jmN28zaMnQCHU/MSYgxCTCsaQ8Rulhh5TG0Q1U/S7bAHmPXJfd0Kli91DA+iPt4TEe040j0tI0YmLWIU0SbV6qJ/jPnEUCEg74szfGFWJ3U9iPFeMfxItoFjoNsDCCRWncB3TcbYOl4b+1P9+3iNGV7kS1ivDlkXjYg5kBGHK7bOqJHxieGeEwONNCrPPQmZi4dkPE2G2P+xtcy6xMiD+FFZThqoQtYUxBfHqj4Z20gs+qS/e8T1pN/A9+XOFB2Q51h/GkUkrokhTURwr5BFS2WT6093sGif+Or/Np47ihNDxUkj/QgBIbA/EBABuD/aWbW8iAh88YtftDvuuONMCZaWls4Qbz/8wz9sv/ALv1Aq3c/93M/R0hbHcYuju8XPk570pPER3kIb8M4777R3vetd9vWvf338uwc7tttqtcYEYkEoFj+vetWr7GUve9mYTPzsZz87Pu7bbrfH//7Xf/1Xe+ITn7ilyIkAPAWnCEARgG7HEgGIuxURgGYiAIkzsghAmJdFAIoAhKAQAQiQiAA8209EAG7p9kYvEwK7CgERgLuquVTY3YhAQej95V/+5cMueqH5x36yLLNXvvKV9v73v/+c73rFK14xNgHxfZavdOqxgox8/vOfb9/73vfoeyYnJ+1DH/qQvfCFL3zYZX64N4oAFAFYIKAMQGUAKgNQGYDuvKEMQGUAujGhDEBlALoxoQxAXHErA/Dh7kJ0nxAQAgUCIgAVB0LgUUZgqwjA08X8+Mc/Pib5vva1r1mRTTg/Pz/W6SscgJ/3vOc9rNoUDr+FRuDNN988JgQLfcDLLrtsTAz+2q/9mj3mMY95WO8535tEAIoAFAFoOgJsZiIARQCKACwjoCPAuKIQASgCUARgGYFUR4DPd+uh+4WAEHAQEAGokBACQmDbEBABKAJQBKAIwCIGRACKABQBKAJwMwLSACTacdIAhPWpMgBxya4MwG3bxuhDQmBPICACcE80oyohBHYHApsJwKvedbNFMwfOFLxbJaLQk8SgYg7Vk8MIN9OXNVBQf4oouXfSshr58f4UgHmyiyYDRkS3/RDNGH5w+ji8b5ihYvv9bTQUmAzRQCRw1aTN7OgGmnvEzPBghN9t1FB6O/OwLapRWaC/FqE2VxBgO6wMUXi/N0TjhSMNVM/vJHhf5oiOF+Aevw/bLDaMk8EIleejKrbZJDHkiImgOGuLJC//eZ45/mbshD75q/5KC+POz7C8MzE6FPxAFR0aZkI0abljdBDi8/4umsqExKTGIw4nAyJ473tY5mq1/HDs/LsoVBoS8wiSEtQjJj1G0iTiJvan4SqqzHvEGKbewH7SXyRq/OQUJ9bebHIB4z3yiYGAI1C/TmL46lls640cy3a8g/0k+C72z/oi9uPeFLoxZMSNwm9hbTsL2I7pYcTz4DSaNB2ulU1Qirio+fjs4rA8BrYITsdWUHs0Wsd6NY5iHRISi1ELG7uJw71NY7ezaWIq0kSfGUuISVNrkhiokLhLiKuC658RErMDMiVYdUBMmohBw+IsDmRdYsjSRw8MIx5NFhCPnoAYnuTEBTapMDkVrLBHjFDCThlj4u1hNVL/SR9jZ3YRY2ziJJatXyVmQSR2NiaICQoZi4m3hflk3UI8miwk5itGjDayShnPrIWxOSImIEMyPg+IsViPxMmAtX8d27XmrFnGYwdhD+ukLCEBxSP3eU6cFN8YNDEGMqd4wTrBKcb2Z3Wlhi/EkKcyxPfVNhmZ9PqL9tl/+Ynx/C8TkN2xh1IphcBWISACcKuQ1HuEgBB4SAREAJ6CSASgCEDoLCIAARIRgGaeCECICxGAIgDdoBABiMsvEYDIiooAPLvQEAH4kFsW3SAE9iwCIgD3bNOqYkJg5yEgAlAEYIGAMgBJ3xQBKAJQGYAQA8oAxGwvZQDi+CkCUASgi4AyAJUBuPN2QSqRENgZCIgA3BntoFIIgX2BgAhAEYAiAM10BNhMR4B1BNid9HQEGJcBOgKMmOgIsI4AQwaojgBDR9ER4H2xrVIlhcAFISAC8IJg00NCQAhcCAIiAEUAigAUAVjEgAhAEYAiAMsISAOQkH3SAARQpAGIcZKLABQBeCGbEj0jBPYpAiIA92nDq9pC4GIgsJkAvPr3PlIyAUnnUcQ5n0INl7CB1zIfjzrMVjpQRea9MMrKatcnBxPw3PoGCuUHE6iwPjeB37yisQTvW03wG+0hGlQwDZ9hgurcG11UIz/SQPH8iZAYYxiqbJ/oo6nIKC1/N3H+XVRyso7vv6S+hhuYBPG8rLIK9907RDOKjBit3LeG5c2WEafExwiYJQr9j61hWZa6+I2AGHJYXs7OCIm1JTNyqBDTliTF8iZDrNcMMbep+NhP6jGaYKx6aDSylGJ89oYYJweIcUtGhMeHRMk8dwTV0xSV3X0iRJ8G2NeHCVGKJwPc4RmMxeMn0RjDHCOX4lUeEcA3IigfEDMTVwC+eN/8BBpeuLEzJssdw6CUjHU+MTtY6RPjog3EaYKYVlQ3UMR+2CQmIGRATci1/CCOCwebWH9mFjMZowtCYliWO9vzpRbvtdAEJSKC/XEbs6liHMaNxV2dYDf3fQy8Cex2RjyvrNLBspBpwXrELIIZfvhr+L7AMW5hZg9BHfsY8fGxFjMBaWL9O8SggvhCWECMliJi+OCRb6Q4PFtGjIsSYmZiSxi0wWoZA5+UY4K8f66GfWeeGD5MnkCchiEZ20h5W8zwxJl3xmMW8UBhRivEZ8aCGB8mU69ljqlIjl3dBmQc7xM8+ySeRmQ+yUn/HMwh7hNT2PEqZMyukTVVRAw/jIxtGQnkEVm4IU7EGInMWUMy3/mTWK+IGLAlZM6ONg3Q/e6ifeET/2n8VZmAXIwdkb4pBC4eAiIALx72+rIQ2HcIiAA81eQiAEUAup1fBKAIQBGAzJFbBKA7VogAxKWTCEAk7EQAigB0e4oIwH237VKFhQBFQASgAkMICIFtQ0AEoAjAAoENZQBCnxMBKAJQBKAIQHdgUAYgLk+UAYiZgokyACFQlAGIGd8iALdtu6MPCYEdjYAIwB3dPCqcENhbCIgAFAEoAtBMR4DNdARYR4Dd2U1HgHUEGDKWdAQYFoE6AozrYh0BRgkdHQHeW/sn1UYIbCUCIgC3Ek29SwgIgQdFQASgCEARgCIAixgQASgCUARgGQFpACIBKg1AxEQEoAhAIMqlAajdlxAQAueBgAjA8wBLtwoBIfDIENhMAF77zg9bPLNw5oWtKRRF7jCl9AYeE0tzfPbyGTRyGBCzgOVW2fAgIwYAUd1RTi9cTGt47VAdjTcOxXjte71DAOT6AEXrEyJO7RHh8ZkK6mQ1fNS/iX0sczdD5e2VIWr0DUbl4yQpKVscodr7NdOLUNfFAaq4V4kJxr0b0xhwEf6le5TgkajYw7LMRj14H9NJmvHxvvUeYpIQx4O1rtOOWDRjxiDXNNFRoJegBebxNqrdN3w0pEmJYnnL0GhmI8f2jyeIaj/JxDlUQyfbWkbKMsT+ebJdjoF+D8vhZficlxFAPdL+rH+S8t6/hEYzOTFf8RoYd/NTbYinWWJasTZA3BN8nfVHqJY/USmr6nd9PNa1NETTlnwJ8cyJkUkNPYqs0iOZaNPYFjkxH8mrWLHHzC4DTikR2V8ifaxGjGvWE8Szt1run3EHY4IRbOGIaKeRac7zsP4NYuRQX8T3OU04fntAjBFCEtsBMYHISewYDlkWkmtu24YR4kRCzPqTeN8GTlm2TMaJbhcxSXAaNw+b1fJ5/G5A/G28Kn4jy4mZzSK2Y3aUjCmOgQrx7bIqif9D5CjuAqnrxBoGQE6eTYmpRpd4HuGoa5aS+4gnFe3v+QRiEg2Jq4hjeJEPsbKjCjE3Ie7ObExI+vhsRsanPvNymsWO0iBOJg1i7hF2MZDJdGQpmdvY2O722YwZhZAw7NcRz7CJaztmyjZXxfuyTcYgve5J+/R/++nxeCQTkEe2t9HTQmC3ISACcLe1mMorBHYxAiIATzWeCEARgG43FgEoAlAEIJLsIgCRdBEBiIsgEYCIiQhAEYBuVIgA3MUbKBVdCGwhAiIAtxBMvUoICIEHR0AEoAjAAgFlAOLGRASgCEARgCIA3RlUGYDKAHRjQhmASIorAxAzSpUBqB2ZEBAC50JABKBiQwgIgW1DQASgCEARgKYjwGamI8A47IoAFAEoArCMgI4A4zghAlAEoBsVOgK8bdsYfUgI7AkERADuiWZUJYTA7kBABKAIQBGAIgCLGBABKALQRUAagCTbTRqA0FGkAYhjhzQAEZNcGoAAio4A7469kkopBB5tBEQAPtoI6/1CQAicQWAzAfij/+Umq83Nn/ndiWk8AngswIyQSvPhGR6ERAC80yHHDK286QqJyUS9ht883FyDlo0CNE/IiEHBvx29HJ71QyIeT4wMZqto+HFVDY02OgnWdT1B1fblAWK87hpZmFnWL4ti+0RMe3oSVefnq2iUwMq23EVl90EPhbhTYvjBjAfmG/jd2PDobT7CTfeV4Ulon3SESuHf75w1sTn9wGqvjDFpflsgZbssWoFvdofYhss9xGkiRLHvFjH36PqovL7WRQOJaI7E+wy61jKDm6U+vs8Ixsc3ymYmw3Wsa9RHzANighPWsd8RjXWLiQJ+fxmdBzIi7l+ZRYznJzvQZmt9YlAxxDhmhjz1ABX/47hctzvXMOaCFr7fI0YRwykUlK+sEoyJacHoMGJ8gNS/7qHRkE/e1x2gQ0GeEbMIYvC0soIxVl0s9+Ooj+8KE7zmE+H9vIKYsDpUVwhhh95TZsTIIWamHcwwiFwjvigWt7FuAfFsiJ3m8YhBQ0Dai/gd2ToxXmiRZ3vMtIEYVCSzWFlvGitRJWYpPjFySIipxmAVvzG6l8SdM32MyLAWE4OGeTI/HSB9cXqNmRnhYjEleA7JowMcPi0jzxKPMwuxy1peJ/2HsYzOOiAjQcfGosoKwTwgZiGkrYkviA2JqUhGzGJqxKSmQibpiIA8Is8m5D5mcOOGhU/GooyZu0xj8GQRNqw3wCPAETFkioZn7+v3Fu1f//knx0EnExBt1ITA/kJABOD+am/VVghcVAREAJ6CXwQgIbZEAIoAdBAQAWgmAhCZHRGAOI2LAERMRAAiJiIAERMRgCIAL+rGSB8XAhcBARGAFwF0fVII7FcERACKACwQUAYgZicqA1AZgMoAVAaguzYIlQEIyyVlAOIKUhmAiIkyADF7UBmA+3X3pXoLgTICIgAVEUJACGwbAiIARQCKADQdATYzHQHGc3ciAEUAigB0Nik6AgzrMx0BxiWrjgDrCPC2bWT0ISGwBxAQAbgHGlFVEAK7BQERgCIARQCKACxiQASgCEB33pIGIM7kygCUBqAbFSIARQC6CEgDcLfsglROIbAzEBABuDPaQaUQAvsCgc0E4P96401WnZs7U+8762VTgOIXvQbqP6VE7DkZ4V8/fWIW4Ke4mahFZXH7AzU8ntlO8XhiRtTjmb5OP0fl6M5JVKf2plFk/+AkGi9cUl3HjIAM699KiBlBimU5uoa4ex2idu2Ie3tVFKI+MNWCsjVCVA5vjbBsS8uosk70vy1u4PviELGLPGIMQYS3KwnBPUfcl4lZxveXz5rYnKm4I+RdJUYuTaLi32pjjE0RU4iAmNvUY8TkZIp4TjfRjeAEUbefnUGjma5hx6u6jgJmNkwwdkbEQKV7smw+E/bwrCMJHSNa/+ZF2K89j4jYEzX6jIinsxjrj8jAQ75rxH0k6WP/rDUQ494AsUs851nSN2PsdpYQc4cRegCZTwwA0knEbnoBx8XDZKy0lIzZxEFigxgNtVvEyWAZMfFJrHjDcplJ85vFGGPMPCIg5hE5MShIyfHcrIvjYnA/3ljZwGuNFuJOimxMs6zi1L8YjwLH4Gp8zSleViPGKMS0wgZYXnbsdDDC9/XI+0i3s+E0aR8SEh4pc0TKhyO72ZD0ldFxXH6lzhQwahCcJvELc2sY/wukbeqsbYhZkt/B7w7IumhADC889C0yj7RPWkXcM2JwUkHPI8vjckAxAyWPGIPUFplrCzFoIdh1CCveqT08B21ceZgFdSxLRMxcqAkICTJmAmJOPXxSr5wULsXlmREvKwvoOI5xXW2drWt/sGif/x8/Mb5JJiD7YgumSgqBMwiIAFQwCAEhsG0IiAA8BbUIQBGAbqcTASgCUASgCEB3XBABiMsTEYBIWIkAFAHo9hRGHooA3Lbtjj4kBHY0AiIAd3TzqHBCYG8hIAJQBGCBgDIAMTVDBKAIQBGAIgBFAJYR8JUBCItAZQDiXKEMQJLFSrIHRQDurT2VaiMELhQBEYAXipyeEwJC4LwREAEoAlAEoJmOAJvpCLCOALsTiI4A6wiwGxMiAHUE2I0JHQHGpbeOAJ/3dkQPCIF9jYAIwH3d/Kq8ENheBEQAigAUASgCsIgBEYAiAEUAlhGQBqA0AIEAlQYgLFJFAIoA3N6di74mBPYeAiIA916bqkZCYMcisJkAfOr73m+VubMmCvfXUcW6HTiOCmaWebhJyInw/hUzy4BDSAwUltpls4RDdVQJ7yR4DinJUYenl7LyYnO0iXr6xAQeC52p9eDhmChAt4aoqUd07K1LytfeQGcAzDkwqzjmGxXHPKUoaIWUrRkT44l2E+rV3UCMPUdgvHhobhLNCOohYtcZEtMGIoBuCLFlXWzbtTZiPBxie0/Ol1/oET+VNEFTiLyPcT0TIUnE4s4PiUB9jNcOTqC5STfAes01sA/cm8xCm9WJCUgrQdwX17G9bbWMnV9DNXUWT0kXMSdDghG/DzvQxHqlxKCEGdec6JA6YDNajRiykGHHVlfKJigFuNEieaETFh4xN6LGSMQEZEDMPXIi0O9FaGRxyRyaD01EqDyfEUOilBjDLD0wBfFUO0Z0vIjxAPFyskG9/CzxAOIGMuSIqZ9h3xk2sWx9YkaR9vDZ6C4cT+pH8b46qWtIhrGYGJIwPxqj4VT+ro9NbVEX6+qR+5ipTB+7pw2JQQHxxbGMjJWsfB7BhPixWE5Mn7wTpB3JvJA70xbxz7KwgRVbWMT5fpLEUxARE4yMXCOWvykRhkxwODGfmYCgX5RlJHhyMn9UuhizuWOOEpDxxCftWl0lZkEkTroe3tclBhobpH96fVJeMozHpJ9UhvhdFp8BDotGPI/MHbO8EXYoZuTjEXMXhmdI6jqqEnOTTcun3nDRPvftF48DViYgO3bbpIIJgUcFARGAjwqseqkQEAIMARGAp1ARASgC0O0fIgBFAIoAFAHojgsiAHElIQIQ+4kIQEJaiwCEzhOJANTmTAgIATMTAagwEAJCYNsQEAEoArBA4IQyAKHPiQAUASgCUASgCMAyAsoAxD6hDEDM7FMGIGKiDMBt29roQ0Jg1yEgAnDXNZkKLAR2LwIiAEUAigA00xFgMx0B1hFgdybTEWCc25UBqAxAFwERgCIA4Q8FOgK8ezdGKrkQuAgIiAC8CKDrk0JgvyIgAlAEoAhAEYDjXiANQJgGlAGoDEBlACoDsISANABhnJQGIPlDgQjA/bqtUr2FwAUhIALwgmDTQ0JACFwIApsJwB/+q5usunDWBGSlgWrsx1an4TNMiNkmUD36iik0AWl4qIp919rZMhQfi4ja+ZCI2DdjfFc1xHJcWl2BOhxPUAA/J0LUjQgVu0/0J+F9kxEabSREjP+BFn43M9x0RzEex/Q8RzyemBHMVNBRY5CgKnyrj23tk7NerP71CHGfCtEsY3mA6tkeEQ/vbBBFeWIM4hEh90aFxIBjZnF0hDHsE+wSoorf6SBOUSWF9veIiPtMEysxVcM4aVbx2lwV3Qi+OzqIG7EM23a5g5lt3iLWI3OMS3zS73ziZOP3sKNkVSL2XiVGFlNrUIe1Dprg1HyM/wFxAUiIaH86wvKlLVTBjxdRoD1ok3o4jyZEFD6pEWODaXzXoUtxTEwTfHa1ix8JiNGST8aOaoTxOSTOENW7sd/VVojTRMq0vXD2GUbl+0i1LCD9nwnq+2Qs7s1iObpNxDghRgnRncQE5AGsa5UYiOQz+Gw+QTAh7cPmaN+ZUgIC+cRxfLJCytZfIEZYxGgGRxizAXGa8on5CGszz2eWH1jmlIyV4XFsXA+9kcxdKmQVLLA3i/PzNPoMWZ2MY0FGjvZ6ZGzLiTPyiBihESckZtzCDNOYYRKrb0hirOLMi3Xs/uYT05KQmF6lpP0Z2Ud8N+zkJdj+GSFPPWKYVSNlqeOSwowYKwXEaCUlXi6ps37KnX8XpQ/IGiMm5Q3I+MQMX1ISO17vbOz0R4v2ue/IBORC9jJ6RgjsdgREAO72FlT5hcAuQkAE4KnGEgEoAtDttiIAkYkQAWiWiwBEwpswSiIAmXc7Lg5EAIoAdKNCBCASqiIAd9HGQkUVAkLgvBEQAXjekOkBISAELhQBEYAiAAsElAFIMoeUAQjDighAEYCmDEDoF8oAVAagGxS5MgChnygDkGQKKwPwQrcvek4I7CkERADuqeZUZYTAzkZABKAIQBGAZjoCbP8/e+8erNlVV4v+1vN7f/vRvbvTSXceBIgBKoiAgiAWVRYocLVUUDgHRe8V5d5rYd1CioI/CMhFKG6JZZ3inpMjlEEOkWMIHLH0HEBBSi4goAgHFCQhIR3S3fu99/de33rc+r4m6b3mGKR3p3d278fYVfkjq9dac84xf3PONcf3m2OYjgDrCLC7WukIMDkCriPAmAGqI8BICosAFAHoIKAjwHt7P6TaCYEriYAIwCuJvsoWAocMARGAIgBFAIoAnMSACEARgCIAywhIA5CYwBDdRmkASgPQnTukAYibCRGAh2yDpeYKgUtAQATgJYClW4WAELg8BEouwB98n1W2mIDcl6JZgreOJgOjWdQKax5BxeZ2hCYIkYfi/vetHCk1qhrhPUaE0nNyNO1IHc0TntJ8AEEjItHnCjT3qAZYly8vXQfva1VRiTrNUOtoOEI8/QgbFxMTkEFSFiPLUkJgEGHrnJgiHG13oQ3MUIEIKbGGAAAgAElEQVQdFW4SI4uYmDacXW9hGT2ink1E+49WUcn9ZGUN3ucTge6zebkfH9yYg+e8gAjKDxBPj4h4N+ZRAC0khheVCsZOHmAZCw3siyhEJff7+9iOtCAmAOtVaG+wTo7sOXEXr+O7IiIKb+inYb3rsb4Z6ZvZNs4T4xRjIiaiWKMxFpyTMWbnUN+yskoyu8ic4qGHkLkQMxOkMfqYWO8aLPPqBTQkmgsQk94Y+zAjbV3axDnLI8YowRD7tkpigkx3Vl/CdsTEaGHsFDEgxigEcmMmGHVixpI1MIYHLYy7ITMPOIMxxkT7Y9b/TVw+0iaJJ7I0e8Qswg1t4ltldWKKEWdYZjJLzGcaeN+YGCUkLP47+L7qCtEGJdluY5zuLSSABmdxDYzXiCGHM4zHNVKPKs6xzPCjSUylAuJSkzpGNtMfSkhb/RH5gCCXyPRs5BPIPGJSks1ibNeIqUrF+Q6qEymLmJhUhas4n2a4FNl6iH2zQeQuV+ewfxJmoEFwr4xI3KG/i3nEBMQnbSPeSJY7Bio+mScKFmM17AdW34CslalHvtE2L7R1kCza3/1PmYBc3q5GTwuB/YmACMD92W+qtRDYlwiIAPx+t4kAFAHoIOCJAISYEAFoIgBFAOJcKQIQMBEBiJ+EIgCRKWTEqwhAs9OnT9vJkyf35b5ClRYCQuDSERABeOmY6QkhIAQeJQIiAEUAThBQBqAyAE0ZgJgZqgxAwEQZgMoAdBHwlQGIQaEMQMBEGYDKAHyUWxU9JgQOPAIiAA98F6uBQmDvICACUASgCEAzHQE2EwGI87KOACMmIgBFAIoALCOgI8A4JnQEGI8x6wjw3tn7qCZCYK8hIAJwr/WI6iMEDjACIgBFAIoAFAE4HQXKAISZXgSgCEAXgUIagBAUygCUBqAbFCIARQAe4K2TmiYEdhwBEYA7DqleKASEwA9CYCsB+OT/8qcWLyw8fOtyVofHMtTrtlYbFbVPNDbg2dUE37cxQnH7Xqd8LSAGCEwkOx2giHWjhQYNT5w5B3WbiVAB+u7hcbhvWGAZy6sovN9oYrmRj6LYzLRhmBIxbmI+kSWukD0eY2XmEZUQhdLbMarCr4/QyWDkGI9MAGIGJcRiwvrraMZQEDH6fIDtOFpDFfwn1BcxrGN89t70aOm+lQHu4HNioFJ0sR8C4lkSt/GcaFRHofB2ExsbxBgT3QxxqlewjMUNxkQQ5AnG/go2JHD8cuIt4uQPAUhO+tloAduQLWD7rYHXTszgPDEiY6wVYiMe7KFJ0XAFY7b5PQyTPGaunXhfQGIx98vPZjiFWUI04ew4tuGWeaxcP42hImdJW42YHvXWcY6NO+TYGemekIjsx+Ra+wyOsdoyvnDULMdYFz1rbEziP0iwb2ZOYxvIsmCjGjG8IOL+OTG3KIgJRkT6f3gU65dglxnxcbCcmCWY0zQyxViVHEVncxGZOiwhBkfpANswIqYiRswyarh8GinCQrJm+RUEgMWdR2IgdUwbEvIuZg4WElOtGsGT+GwZm++MtCvE5d5YX3hkzGakHbTcOgZohQDfdG5rElOMiBmDrGLkpUPsrzUyd66S78IN0q6UmbcxQxLywRrlxJGamIoQTyojt4Hrfc6Cp4bfSlUWKMRYLSAYh5tYOy+5MAEMRov2iS//wrT10gDUvk0IHC4ERAAerv5Wa4XAFUVABOB5+EUAigB0B6IIQNxwiQA0EwEoAtCdK0QA4meMCEDERAQg+TFGBODDoIgAvKLbIRUuBK4oAiIAryj8KlwIHC4ERACKAJwgoAxAzDASASgCUBmAuB4qA1AZgG5UKAMQx4kyAPGHAmUAKgPwcO2w1FohsH0ERABuHyvdKQSEwGUiIAJQBKAIQDMdATbTEWCcTEUAigB0EdARYDJOyNFmZQAqA9BFQASgCMDL3LLocSFwYBEQAXhgu1YNEwJ7DwERgCIARQCKAJzEgAhAEYAuAtIARGZLBKAIQBcBaQBiTEgDEDUVpQG49/ZAqpEQ2CsIiADcKz2hegiBQ4DAVgLwCR/8LxZtMQHxiZFBvYaq8EGEAvCJ4S+dXSJuvzlEw4PMMWRoVLDM2LDM/giVqK9rrkIvXl1Zg2vrOYrn/+vmVRgBjgHA5IYxEYA+ScwNAsPN5LkhGjl0u+gqkBPxcEudo2h1FKw+2uhCG2KP9Bdxdxnm2IeDEardF6Runls3M/N6xCkxQjX23DGjmDSg5aEavechnrNtVPw/V7RKGAyIYFfkoTo5gcn8HNvQqmN8ZgHeF9eIUYKPm4TEiBh7RqwBSNaNT1wGfCLkb4vE4GTNiSdiCkBCwrwj2P7KPF5rzWBFZhrYX4tpub8mndfPcZ7onMWx4xOh+PoqMR4YEuOSKvbZuIbHPfPZcszWSf/HxLSlWcP2NyN0D+ikaGRyZmMGxnG6hpjUlohZxgjbz3CKiOEHkeey+ia+r4rTjI0aZeyGdWLQQdZYP8O+aZzB+CfQmTlGEZPX58R4gJlbeKT9NsL+789gO0Yhcfxk4zNlqXJlEHL0trGQOBv4ZDpl0wSbTxOCSUbiJFzHdjWICUhMxh3xRbGcxIBP1oqEmMO40CXE8ImtkyxOKsQYKSZ94xFzC2Y+w+ZdI98Khku0keFuOU4BFhPjnojg2XDWxWaGgVIdY78yEjMh4donBiqrFXwfJQCH5Pi861piZj4z9xhiOyKCp1/FSgfkjLpXKQPqkZdF5NuTmbnlYxygFSOGXAkGVNG7MFL6g0X773/7i9MJQSYgh2ADpiYKgS0IiABUOAgBIbBrCIgAPA+1CED8MBUBSPhfEYAAighA8gOFCEARgCIAYa4QAYhrighAZKNFAIoA3LVNkAoSAnsEARGAe6QjVA0hcBgQEAEoAnCCQKIMQCS2SMaFMgBxVhQBKAJQGYDKAHRnBmUAkgwwZQDCApIoA/BhTJQBeBh2XWqjEOAIiABUZAgBIbBrCIgAFAEoAtBMR4DNAh0BhnlXR4BxKdIRYB0BBrJPR4BJurgIQBeUVEeAIU50BHjXtjsqSAjsaQREAO7p7lHlhMDBQmArAfi0u/7YKseOPtzA+RYKOwVEiGZIhHJSD/Va7u4sAHgpOVLpOxo21zVQxy8mYjqdBLXz5kIUlNsco8DO93qosTXso8ZWtYHZPhHRl3l8ewnaOiwwJ+I0KXewgvUryAYrmSmnE9SrWLd2gGJHQ6JXUw9R2GdEBN82+0ScqIf6XEwXsuZj+sPxAGOsMsK6nNlAvbfNHPGcP4rv2yjKdR4QHZ4GEUA7HmHspAQ7M4z1QUbyX8ilbo/0dRNTD4sCy2Bj0We6fat4vNsnGng3VFZKMeuP8GjW+gjHmEV4X9TAvr56HsfxekS0NzuovZn2EbxKj+jzkfAMiZBVRPTOxg3EOD2OsXhVtVPCKR3jc5UQ2+8T8bBGhONzOUENxOXlNswnre8Qncku0fsjGmsWIHYB0YUj8q5WJ2UQqsMSVwPQma8mDSrI3OETfbbqKpZQI9qORnS38grTQMRrHtE28/okJghO/QZ+FyS4fBgrw9yYbZEjkUTvrqAaY4iTR3T8cqILmhP90Lgc6tNGtpYJ1xURTTnSjznR1DMyZyVkHLuaf2MiUJkzrbcBifWE1Jf0P3mdhUR7lo0df0zOgJO2pjEZPQTPCtHajcma0nZ0K2tEP5IMCQvZ2kFiItvE+FyewXGyTnQBxyQm2JJCJHmNafKGTLeTlBuRPkvdcUYKdfVeJ5HvFdivERmLs0QGIlvH9S7qX+ig/nDRPvr3vzAdYNIAPFh7LbVGCFwMARGAF0NI/y4EhMCOISAC8DyUIgBFALqDSgSgCEARgLjUiABETEQAigB0o0IEIMaECEARgDu2edGLhMABQ0AE4AHrUDVHCOxlBEQAigCcIKAMQEwlEAEoAlAEoAhAF4FUGYAQFL4yABETZQACJiIARQDu5f2Q6iYEriQCIgCvJPoqWwgcMgREAIoAFAFopiPAZjoCrCPA7vKnI8A6AuzGhI4A4xFQHQHWEWB3nOgI8CHbTKm5QuAyERABeJkA6nEhIAS2j4AIQBGAIgBFAE5iQASgCEARgGUEpAGI3xIiAEUAulEhDUA87iwCcPv7EN0pBITAVF+UKIwKGSEgBITAY4DAVgLwWR/9f61y7MjDpXRCFPwfBqgoHZI0kZgI3t+/OQctCMhP58caZSOHY9EmPNchRh6jFOvWJ4YPzASjTww/jGh4H2n3oS6Rjzc2ianE8hCV4jsDxDgbIRGRoc+GBfNlRe12NIS6tYmifn+MyuH02gDv87pEUZwopR+bxT6rjvHs3JEc6zyfIsarQzw680COZgm9CmI39MvgeURzvRagBuJsgHUbjRCTGjGkWe1hX6djYsaRYH39q1EpvSDi+UmCfeETIXOfiNvHCZpUHM3KuIcDNCMZDjEQ0wIBLYgBguPFMo3Vcyn2YTbCxhINd4scsfvJ+wLy+RSQgTxuY51H8zjBzi2gC8KclR0U2HjtjBAAj4yTfoptHa2jA0KFGDkwE4wAu9Wq62Qi84lZBJljCiKo7xHzBTZXup4CYzJP+sSgISJOoTF6+xgzC0mrxNyjjqBEPWLcsonXImI04xEDjQF6FBnxhrGkgfXL6uVrxFPLjGDuDbG+BTmeHC+RvsapzQJyZLW+gc/GpP0Z8QYqSCx6pAy240mJCQj4IDGDCmKW4o3JhE/mROIpZUaWu2qHjCdixhEM8D4CiY0JdkbGZ4XMs01i8NN2+jYiWMakXWFKiE3ShmyAQbbWxFjshGSOJd+wDBOflOv3CJ5VLJf1Y0i6zJxYYeYeGXFLId1gPlmfgzbiVCdmbq3VCxNvb7Ro//WLvzhFSSYgj8GGR68UAnsYARGAe7hzVDUhcNAQEAF4vkdFABJSUAQgDHcRgCIARQCS3fQ2DE9FAJoIQBGAsKaIAMSvahGAIgAP2l5L7RECF0NABODFENK/CwEhsGMIiAAUATglQFlWoAhAEYAOAsoANBMBKALQnRiUAYifJMoAVAagGxWY224kf95MBKAIwB3b5OhFQmCfICACcJ90lKopBA4CAiIARQCKADTTEWAzHQHGGV1HgMnxUR0BhkARASgC0EVAR4B1BNiNCR0BPgi7JrVBCDw2CIgAfGxw1VuFgBAgCIgAFAEoAlAE4CQGRACKAHQRkAYgIUClAQgDRRqAOHeIABQBKAJQ2y4hIAS2i4AIwO0ipfuEgBC4bAS2EoBP+dD7LF44+vA7NwJUp+4Qdf9mCw92hCEKIOeGH4SVkKhxOyrLzQDfX/MTaPt3Ni/U/aF/HBKjBENvA6sEeLFOjCGOVtCgYm2ICvBZilppgx4aA+QpcR7FS5a0EM+Kg/uxKirl1z3E9/4OmrEMNrGvoxo+y4SyZ0LSP+Rgj59g/7czLKORYl8MiFnCmTEx2iCC6qmTsRTHKDs+GxNzF0PMl3vY1yERo19dQXOLgLTf6lhG2MT6JUPUaAyICYBdher+1zVXYaysd1AZvrNWjs+4j/0QJWTwEOOBEXEy6GXEGGNA1OiZnhwxFfFJVaIUK8PMR3qnMBajY4jd9Y01nGMdUwFmRjEcYbuW+hg74xUM2IAYY5CpyFj7mUFDhZgW5DG2PyUGFXkD8fR9gjHpC9fPLu0gJpV1YoJD4olMMZaQmBg7hhqTzgvJPBadQ9X+FjO8IMtTiFMFrcuA4JkQk4rcWe+YXwGB3DxiKFCQuSheJbFO2lAZYclVYrTDDFkSgnvCDBSIIYdPXCCyJgaBa3BDlmwraHYqM0Eh8c+mohYxkNkgbjmk3BB9sGxIYpbFsUecJqpk/WiR/plxTUBwmbSQmZa4rj1mlhPNxnGCcdKNcBwTnykbB8yQhZiPEMOPhMxZBRmfzEDGiCGJOfEZDomBEGmrP8TYTGaw/R76llmdmLtsDbGJCchdX5AJyGVvbPQCIbAPERABuA87TVUWAvsVARGA53tOBKAIQHcMRyIAYVoTAWhmIgAhLgoRgICJCEAkVAoRgBAnIgBFAD4UFCIA9+tOSvUWApePgAjAy8dQbxACQmCbCIgAFAE4QUAZgMoAVAagMgDdZUMZgLiQKgMQMVEGIJJYygDEOFEGIGZAKgNwm5sV3SYEDjgCIgAPeAereUJgLyEgAlAEoAhAMx0BNhMBKAJQBGAZgVhHgOFzRUeAdQTYDQodAdYR4L20r1FdhMB+REAE4H7sNdVZCOxTBEQAigAUASgCcBIDIgBFAIoAFAG4FQFpAEoD0J0TpAEoDcB9ut1RtYXAnkZABOCe7h5VTggcLAS2EoCPu/0DFh1deLiBaQ2PK2xkaB5QbaEhR6uOxhAzRKF+JkRLRbfUgGixLY3RZOGepQt1f6gRlRrWrR3hRj/M8aOOGXlYhr/0Dnqon+f1tmduQLwtbMyE4olZRFApC2/FRBW9FWE/nF1rQxAXCbZrbg5NRUbE3KDhEyMPD3FPU8Skx7AbY11CjxgPBHjsKqrhhq1SKdelTjAhmuvWDDBOHuijgcriCuLp97ENQUrE6GsonhbEpK1dNC0o8JLZHOJ+zSyagHSJqcjIidm5MY7NcQ+zX5Y30dwiJYY3gYft9zO8VhAXBKYxZ8TwYHSUiPvP4wuzI4h7u439/fjmEoyVpW65v7sdHP/9Dqrsxw9gh0VE7N5jLhDkGjMB8cl9ERG3Z6L1zMk1ZfMOmWdyYuSQjspjwCeGH8QSwIoaOU7ZIWZJJBErJcYTOTFoqJH31YkxRkgArWxircdkuu+3cRwTjxrzOuX35cQEikx/FjvPTQI1YG0YEDyJq0gNw98qRLMvJtiNCcajOo4xIhVpPjEMiyO803PW3oAMlEqIz/nkPrbuWID9dXwGnTw2RvgNFIc4ADojHO8kodQK0v5kiM/WyH0NYqwWO8ZKTTLI5prY2RlZBDf6WI8hMZ/qk7GYkbWYVNcKYmaTJfjCPMQ4zomx0LiK/eiRcewOM4/EiUfW8YLNdWT8e6S+VfLNMrPF9Kk/XLS//uxLp2vO6dOn7eTJkwdrw6HWCAEh8AMREAGo4BACQmDXEBABeB5qEYAiAN1BJwJQBKAIQOLGKgIQ1mcRgEjOiAAUAQgDhZCRIgAvgCICcNe2PipICOw5BEQA7rkuUYWEwMFFQASgCMAJAsoAxDEuAlAEoAhAEYDuzKAMQPyxSBmAygB0x4kyAJEUVwbgwd1LqWVC4HIREAF4uQjqeSEgBLaNgAhAEYAiAM10BNhMR4B1BNhdOHQEGDfxIgBFALrjREeA8ZNTBKAIwG1vRHSjEBACJgJQQSAEhMCuISACUASgCEARgJMYEAEoAlAEYBkBaQDimU1pAEoD0J0npAGIn+zSANy1bYwKEgIHAgERgAeiG9UIIbA/ENhKAC684yMWzB17uOLRNWggMQpR7bg+h/c1q3jNZ4LqRMk+c1TQq0Rge5BjPe5fQ4OGMEZR8OvbaIowSlCvZ5GYZXgDFKcm2uHGBMp9IrzuO0YeE/BTIqg98jDrwnOE19MeGg94ETGUGBKBbXJfnajCH4/QGGRIBLD648q2BkB/tQ73RU2USo+I7liFxMXxegfetwl1wV/mWQZgSMp8sDsD7x9tYFuZ6HgwJCYY2D0Wt9HIIyOi8F6F9C0xEIlrOBYzYr5Rycu4+wni1O9iW/sPNLAPidq/h14Z5pFY99izfWK8gOFuo1msczpDsrgWEJNjMxjbV1c3oG13b1yYIyf/2FlHQsBfxvmpsoptCEbEoIGYMRQEJ+KfZOy+lLgAjObIGCCxQwcxieOAGXw47WDmLlmVCPs3yKAgJkU2IjHRIMZAJHZiYoziVYghTWt7GYAFqXLKzGyISYcz7IwZ3vgYrlY7RwoghgoVYjRDfKasavg+dl/URZwScuOIGUOw+amKx2ebEa4B7utCZtpAJvKZCg6o5T7OWQGZ75vEMMpnOnZkoDDDj0GB63iVlNEn7mBPqZ+DUmLyvuXB0dJ9xwKynhI3jvUxTtBLxCxqY4wd69ewjNlaD+p7Isb5lM0xBWnXyhj7bHmMc+91dTRu2iTmdYOs/M13bRW/C30yJh4Yz0KV1wh2zRAHbZ/clw0vrKmD/pJ9/L/9u+n7ZQKyrU9I3SQEDgwCIgAPTFeqIUJg7yMgAvB8H4kAxB2sCEBkokQAigAUAUiITBGAsNiLAMTvn0wEIIAiAhDjRASgCMC9v3tSDYXAziIgAnBn8dTbhIAQeAQERACKAJwgkCsDEEaJMgCVAagMQLJ4KAMQQFEGIHEBVgYgxIkyAJUB6AaFMgC1RRMCQmCCgAhAxYEQEAK7hoAIQBGAIgC5BqAIQBGAIgBFALoIMBMQEYAiAN040RFgHQF2Y0JHgHdta6OChMC+Q0AE4L7rMlVYCOxfBEQAigAUASgCcBID0gCUBuC2VjJlACoD0EFAGoA4ckQAigAUAbitFUU3CQEhoAxAxYAQEAK7icBWAvCqN37YwpkLAvcnnrwGVYmP4mftkRZunMcBil2vpk1437l+C665IttxiFpsTCQ7IcLR4wTPIV07j+1a7mDdUmLuEBDHD2Z4cqK2Ce3aTIl+Wo7mI70MDQTGRN0/d9rmEQF4v4rY5Sn2TUEE1QPixlA1FGyv+HgtISYtQ3ItJ312fAaxI7rrk3R5wPi6Cgp5b6ZlcfOE4Ls0xP7f2CLO/VBBBRGZz4bYX1Edx0nWwb4OiElNnQjgj4kJSJWUMSLi7q0aOg+wtuWODGSPmFsEHYydoEfMTUiHeTVi0EAMP6IBPuz4Ak27YzCPD2fEjCCN8H3NhQHEzvEZNJCJQtTG/Lezx0vPRovY/2RIWGWVmCx08VqAHjDmp9szEEmI4ce4hc+OiDFKTgw5fEb2EROIaIOYijgI9xdwZctDfM5PSDyRmCAWGEa8EywiJhgedpmRJcvyGayLF2DJHjEkKYhxh4dTm+XOfT65x0hMVHAZswqGsDVxSrQYh7F5xEClQlgsn1wjy6wR/whLWX+TOYAZbYROV4RkbfOJuVFAdAfZeheS7wxmXJYRly72XcA0IIdkjc7IN8XRBpJnj6suwwDyyPfD2mC+dN/jSVCcCPH99w7L5iGTl5Dhb0tkkEXE8GIjRZemY6QuaUEGIxncbeJ69L2kDZhUyATacww/Jg8dj8sDrUmcdloBGsjcMyrP/5N3dTJsayvACaBGFoZiSx92uiv23g/8n9M2yQRkN3dCKksIXHkElAF45ftANRAChwYBEYDnu1oEICEiRADCPCACUASgCEAkxUQAEgdhEYAwf4oAxDgRASgC8KGBIgLw0Gy91FAhgD/oFAVJaxBQQkAICIHHAAERgCIAJwgoA1AZgMoAVAagu8QoA1AZgBATygCELzFlACLbrQxAZQA+BlsWvVIIHFgElAF4YLtWDdsrCCwuLtoXv/jF6X9f+tKXpv+trKxMq/eqV73Kbr/99otWdTgc2sc//nH7m7/5m+l7vv3tb1un07FWq2U33XSTvfCFL7Tf+q3fshMnTlz0XZMb+v2+vec977E777zT7r77bkuSxE6dOmUvfvGL7bWvfa1de+2123rPpd4kAlAEoAhAMx0BNhMBKAJQBGAZAR0Bxi8KHQFGWRERgCIA3ZGiI8CXuhvR/ULgcCMgAvBw979avwsIeB5TFDtf8HYIwK997Wv23Oc+d0r4PdLfhAx873vfa7/0S7/0iPfdc889U6LvW9/6Fr1vZmbG7rjjDnvRi1604+iIABQBKAJQBOAkBkQAigAUASgCcCsC0gBEaQxpAKKWrTQApQG445sTvVAIHDIERAAesg5Xc3cfga0E4CTL7uabb7ZPfOIT2yYAP/vZz9pP/MRPTO9/znOeYy95yUvsGc94hh05csSWlpbsIx/5yJT4y7LMgiCwv/zLv7Sf+ZmfoQ3tdrv2zGc+0775zW9O//3Vr361vfzlL7darWaf/vSn7R3veIdN7qnX6/b5z3/ebrnllh0FbCsB+EM/9yGL6xeU2p/4Ew9CWRs3o15LSoTSKzEaQ6xkeMzye2tzUEazXv41OSMOAMMMf4XPiXI4E4q/pr0BZX7vzBG4FhIx+oVj63BfK0Kh6EaI1zaLshnF5EVrY7yWEWOM9X4Nyi3GZQz8MRLbC8dQUX6l08B3ESH2IMeLaQ/7PyBGCa0mZgQMiNh3Rsj4Y8RUJslJ1kWBBg0zRLQ7Sct1Xuyh8Ux/Ew1aCiL2X4xIPYhBwbiF2LHfHY7OooFOnQiFr2zi2GGi9YWPmByrYbx/Z6MsFD8JiGSjHIthh/xQQswD0jqWGXXJjcSgI2bmCU18X6ON48lIWwdj3JyS0LFqE88xBhUsd7VXh7FSv9+JAXzMCmI8EmFXW0xMQHwyFkP0cTEi0WlpFfts2MZZcNwiRhZj7DOW7UX8giwY4vvcaXuIIWfWwHWiGGI94nM47rwRMR4hEz7xT7KsjTi5JhNTUpyYpXjMyILMAT4zx1knhJKzzvjE3IMZg1Q6+K72CjG8IQYtIcJpVieYMCcLEu9ZhnUZkFgcI09iZKk04othvrP0FE1mqkO0GInEXFohsUPmMc8n42RAYpEMioKsxyMyBybEpCQn5VYJGxsSU6rauNzgBfItdlMLgywkE89qhuvi2RF+s4zJsynBpB6imw0z5VoZ4DfKkTpOoGsJ1gVnFLMhMW5xDV5isp48feYBmP9Xx7gWP9CfhfsqBJOntU/DfUvjC9/AEw3AP/7A/zG9RyYgO7rV0cuEwJ5HQATgnu8iVXC/I3DrrbdOSbfJf8ePH7f77rvPbrjhhm0TgJ/73Ofsj/7oj2zynic96UkUjr/4i7+wn//5n7eJpOeNN944PSLMMg/f8pa32Fvf+tbpO971rnfZ61//+tL7JqTf8573PEvT1J7//Ofbpz71qR2FXwTgeThFAGJYiQAkm0QRgBAoIgBx7IgANBMBSNyMRQDiD22E2xcBiGuPCEARgDv68a+XCepa3v0AACAASURBVAEhsKcQEAG4p7pDlTkMCFwqAbhdTF760pfaXXfdNb39n/7pn+xpT3ta6dHxeGzHjh2z9fX1aRbi17/+dfN9zH54zWteY7fddtv02S9/+cv29Kc/fbtVuOh9IgBFAE4QKJQBCGNFGYDKAFQGIC4hygBEcsZXBiAEijIAcf5UBqAyAN2BogzAi25TdIMQOBQIiAA8FN2sRu4lBB4rAnBi6vHbv/3b06ZOzD0mhODWv09+8pP2ghe8YHrpne98p73hDW+gsHzhC1+wZz/72dN/e9Ob3mRvf/vbdww+EYAiAEUAmukIsI4A6wiwjgC7C6uOAJMz1ToCDN9fno4AAyY6Aoy/quoI8I5tXfQiIXDgEBABeOC6VA3a6wg8VgTgu9/9bnvd6143bf4kE/AXfuEXSlC8+c1vtre97W3Ta5Ojvs961rMoVJPjv7Ozs9br9abHgT/zmc/sGKQiAEUAigAUATiJAWkASgPQXVikAUg04KQBCN8f0gAkchHSAIQ4kQagNAB3bPOiFwmBA4aACMAD1qFqzt5H4LEiAH/u537OPvaxj00B+MY3vgF6gS972cvswx/+8PTf19bWpiTfD/p76lOfahP34YWFBVtcXNwxULcSgMff+HoLZmYefveT//VHoJz+TxPx/OvxWEdWwWyS5TEKO3cHaG5xVbtsXBEH+Etql4hTJ8Q8ozNCEWvL8WiO10GlcI+YW1xzBMWzNzNUNu/n+D52pLQWI54Zqd/GJpoRuJrVPnluvt2DPuwlWF92BLhuWLe1FexDn5hltGdQ2KlWwzjpEOzGxLWBnFC2kGRdzFYG0N51x8hhtE4MP5gxOOl/2yQC8GSj512N9Zit4bXjFXSeXexfGIMPNWZ9CY1LCiIAX0TEfCRAWfRhj8VAecwSTXTL0WPDAmKWUz+LZNpwHueE/CjG2MlZNC2pEseLpo9GMylxfHigi/NqRHBa62Jsx8vY375jPpHFZD4hWVK1VXJ0dJsGImzuyJlJTU4ytuoYE0lCzHwG2D8ZTjtmxN/FSF0ypwi/heO/FmH/9zZR2L9yP9bXHxDjETKOU2JukZxATKIMGxYQswziNWVGYPf7xFRjhdy4Wb4v3yTmFiu45DfX8f2Of9b0oWqB72MeIAVZKom/lWUE44TExJjMz8TPyyJiluIR4w4Xd4+USTwmjEwT5sbmBCdmFuSx/iddyAyeog0c3H0Si4MaApoRJwuyVJpfw8rMO+ZNLXLPzAKuz1XynbWxgt9nuIqZdavY1hExMqmTAGVGbd0Rrk8zdXRCWibfjx4RkLy+hQPozLBdGlSpYxY2+cdriPEIiJua2eYIcWLfJ49vLsFAPje6sN73esv2Xz/0v07vkQnIjm1z9CIhsC8QEAG4L7pJlTxICDwWBOBXv/rVqVbfxAn4yU9+8lTfz/2bZPz9wz/8gzUajanT7yP9TZyG/+qv/mp6y3A4tEqFfK2TF0wIvkf6O3PmjP3oj/7o9BYRgGWkRACKAISxIwIQIBEBKAJQBCCusiIAL+4MPUFNBKAIQHf0iAAUAXiQ9phqixDYDgIiALeDku4RAjuIwE4TgKPRyJ773OdODTsmfxNH4J/92Z+FGk+IwX/5l3+ZOhGfPXv2EVv0y7/8y/bnf/7n03uWl5ftyJEj20KAOQ//oAdFAIoA3IqAMgBJepYIQBGAygDEJUQZgICJCEARgG5QKAMQs7aVAagMwG1tZnSTEDjgCIgAPOAdrObtPQR2mgB89atfbe9973unDX3Vq15lt99+O230jTfeaN/5znfs1KlTdv/99z8iML/6q79qH/jAB6b3XMrRABGAOgLsBpaOAOsIsI4A4xFQHQHWEWB3rtQRYPws0RFgxERHgHUE2I0KHQHee3s91UgI7GUERADu5d5R3Q4kAjtJAL7jHe+YOvVO/iZHgCeGHZMjvuxvNzIAdQRYBKAIwLKQmTQAzUQAigAEsksagLBMiwAUAegiQKTtTASgCEARgAdye6hGCYFdQ0AE4K5BrYKEwHkEdooAvO222+w1r3nN9J033XST/f3f//3UtOMH/e2GBuDF+nirCcjj/p9fs2i++fAjV332J+Hx7EdRFX70JFSsXvNRFLlawfsiItgcOOLhBVGd76YoEt0dEGODIVETJ2U2myiK3SKK4mNitMGEzROfGB4QQXGPCKUPx6TORGW9YWU8iYa3jTMslB25GY6IKQAxXhiT+6IIP/4X2qhp6UfbOxLGjUEQz5QAP+wj4Rt2nWeJiD01WSD35UTtvyBmIc06xlNOTDvmqyhsvrRZFiefDMJ8E2M7iJHECojhR7+Pzh0+edac/hmN8bmCifOPsG/8EYLnH0dMbiTi7MzcIzZsK8uweKCP0gibfZyLRkOCyRJe89C3AiKA3UOGtVU2MP6jBK+NiFmK1XHu9FJ8NiMkXk5ca4s+MTdJsc9GR0kZxFTAq+AcUDiXfA/vybsYUPEqiydcyYi3hWUxmWOIcY0tEJcF4irBjEGiIeIU9Ui5ZLxnRFXAXyw/G5zBtlbW8VqNNKFGjmJXiUkRGcb0U4GtFWNi+JCT8Z6SDkrR38UYoRaQdZY0DerM6svWZxY7PsHJyNjxyDrmkzXQ20CUyZC1IXlfRurCTJ+8NgbB7Fp5bDcbiEqdlBnFJKBIG0YkhnukExPmghzg2MlJSmlOXL/6R/BiSp4tKnjfTBOtS7rOt0JIYm6GmJb45Jtq3MPvDo/ETq1GjKu2vG/QX7K/+YuXT+P6Uk76XOw7X/8uBITA3kdABODe7yPV8IAhsBME4J/92Z/ZK1/5Ssvz3K677jr77Gc/aydPnnxEpF760pfaXXfdNb1nL7gAiwAsd5cIQPyQFgGImykRgCIA3YleBKCZCEBi7iACEL6JRAASkl0EIMSJCMADtvFSc4SAECghIAJQASEEdhmByyUAP/axj9kv/uIvWpqmduLEiWnm30Tf72J/b37zm+1tb3vb9LbPf/7zNskIZH+T987Ozlqv17PnPe9502PFO/WnDMDzSCoDUBmA7pgiCQGmDECceXxlAAIoIgBFALKMX2UAkvmDpO0pAxDJY2UAKgNwp7779R4hIAT2HgIiAPden6hGBxyByyEA//Zv/9Ze/OIX28T5d+LMOyHnJtp+2/n7xCc+YS984Qunt77zne+0N7zhDfSxL3zhC/bsZz97+m9vfOMb7fd///e38/pt3SMCUATgBAEdASZH+HQEGOYQHQE2HQHWEWAYFzoCjJOljgDrCLA7UEY6AgxzR6ojwNvaq+gmIXDQERABeNB7WO3bcwg8WgLwc5/7nL3gBS+YZua122371Kc+NTX+2O5fkiR27Ngx29jYsJtvvtm+8Y1vGHPtnegKTvQFJ39f/OIX7ZnPfOZ2i7jofSIARQCKADSTBqCZNAClAQgbdmkAItknDUDARBqAeLZbGoBEU1QEoAjAi+5KdIMQOJwIiAA8nP2uVl9BBB4NAfjP//zP9vznP9/W19enLr8f//jH7TnPec4lt2LrMeB3vetd9vrXv770jsnR4Mmx38kx4J/8yZ+0v/u7v7vkMh7pga0E4E/9x1+z2pELJiDNP34ZPPqVl+IxjOG1RNgIdfftSAsND66ubUAZsV8u42trqKU4GBHDD3KUqCDnOOPqGMq8toEq65sJKpaPM9Q7u6a1Bu87nczAtaVuCzeTNayL2/7JQ0ygPHT0pLMeZhzUQhT2Tgkmgx7iycS5vToxYyAC6M0auicExCzjce1zgAnR9bbTo3m473vrs3At6Fzc3KBgwu5kkORNxK5ORLyrAbY1JQYACREPJ54i1uth3IUbxLQiwr6IQoynwSYKlGcEg7zqDCBWX+IekJGMsJDE9ak2cTIgU0fsIe5NN9jNrJ8hTvcuoelShZh7xOhRYxkT9ydkT+hMWQymnBj+FDh1GHNA8IkoWmCEYBiQFFViAmIJEd4nj6akH5NjGGNxG2NslJDAcExFvE0EJSD9EPaYSw8O0IIYBWTEKSInxhOG051FZF70ybPVPjFzIddGdexwb5M8e2+5vcWIjGvSr3EV72sQ6Oo9rAfhYcxI+zMSi2mNGL6QMjLiKZG08Vk2LAJSrp86d5K5g47hKlbE9/Hh8Rjjkxlc5WOCJ2nEeIjvIz47NiYxm5L2M5OO4zX8pur3y0ZtR0OMkzmyTkQkdpbWLnwPPjQCx6RuGfmm2iTGGJnbh2aWElDIlGUJMRpKCXZhjPPTbA1NQEbOJB2QNbtCviljMpEPOjhRBDHGGOvDUXohTob9Jfu7j/3yFGqZgOzoVkcvEwJ7HgERgHu+i1TB/Y7AxKDj7rvvfrgZy8vLDxNvExLvN37jN0pN/LVf+7XS/99zzz324z/+47a4uDi9/od/+If2Uz/1U48IyyTTb/Kf+9fpdOwZz3iG/du//dv0n37zN3/TXv7yl1utVrNPf/rT0+O+3W53+v+TjMMf/uEf3lH4RQCeh1MEoAhAd2CJACQslghAEwEoAtCdKyIRgPhDjghAwEQEIDKlIgBFAO7opkYvEwL7FAERgPu041Tt/YPAhNB7//vfv+0KF0X5Z8Dbb7/dfv3Xf33bz09uvPXWW+0tb3kLfWZCRr7oRS+yb3/72/TfJ8eLP/jBD9pLXvKSSypzOzeLABQBOEFAGYA4WkQAigD0lQEIA0MZgMoAdIOiUAYgjBNlAJLMc2UAQpwoA3A7OxXdIwQOPgIiAA9+H6uFVxiBvUYATuCY6Ai+5z3vsTvvvHOanTjRBzx16tSUGPyd3/kdu+666x4T1EQAigAUAWhGTj+ZCEARgCIAdQTYXXh1BFhHgN2YCHQEGL5PdQRYR4Afk02LXioEDigCIgAPaMeqWUJgLyIgAlAEoAhAEYCTGJAGIGZ2iQAUASgCsIyANAClAeiOCWkASgNwL+5vVCchsJ8QEAG4n3pLdRUC+xyBrQTgf/7NW+1I64Kxwh9WfgRad/8PEWHrI7hJzNGzwJgo8hOPLkMZaVEu494zqJ3INub5HIoOEQ1nixyTkUkF5iooEt0Z4BGWwQgbNjfbgzasp/hB6IpOTx6ab+OzRsSoR33U6KunZdxHa1jfYB1F25jjbUbMPQJi5MCMPJIMy7huBo1R2FDxPPyVvJNhW+9fn8PHyXEiI5kYcbd8kei/W1bHSDl6Ak0rZiMUXT8zQHMXjzgU1IlZCDMGWek1oK3eGYwn3yNHEWNi+kJE61OS81j4Dk7knqyFZYZHHTcaM7umheY+R+NNaNeDQzTL2SDmO60Yy+iOyRi7F/uisYJ1DoiBREGMITxyX7RWzhf1hhiawyaWmczjyzxixuL3MYhD9JmxgBy7DDvE8IOMCWaWMJ7F+vnECMev45jt9nHuidbK87iPU6z5pF0hDjHzB4jnOMa2jrEalrnmNmYWEqehiBgKRAQ74qlgrH/GJAbi72GshPeV20GNDfrY1oiY1jTInNAkx9iZCQiZxm3MND+J6VNODWmwraNZYgJCnBZIsWbOPJaTdZKZlvgVMoiJkcV4iKU2mzi4kwS/AWISFIMRvi8hJmLMVMOv4Dx+pI7fCj7BIHRMKprEaapJvoGOxtjWpSGagCwTk6rZdgc6uyCx2CUDdEhclNaGOBmnBONKFdcFn7Rtnrg+FV55TI3JR2tM1sBZYlK11G9D+29o4LdthxhXPdC/sAYOekv2Nx/599N3yQRkn2+uVH0hcIkIiAC8RMB0uxAQAo8eARGA57ETAYibJBGAIgDdmUUEoJkIQBGA7rgQAcgcqUUAugiIAESGXgSgCMBHv4PRk0Lg4CAgAvDg9KVaIgT2PAIiAEUAThBQBqAyAJUBiNO1MgAxE0kZgBgnIgBFALpRoQxAXFOVAYhZ68oA3PPbJFVQCOwKAiIAdwVmFSIEhMAEARGAIgBFAE4IUBGAIgBFALoI6AgwIfvIiVIRgCIARQCWEdARYB0B1i5LCAiB7SMgAnD7WOlOISAELhMBEYAiAEUAigCcxIAIQBGAIgDLCEgDEMdEJg1AAEUagNIAdINCGoCXuTnR40LgkCEgAvCQdbiaKwSuJAJbCcCf/r//xGpzRx+uztfbKNA/nCWC+kQoPnUElicv9Ylo+fEWCluvDMomCMkqHpvIiBD91UfReGKYomB3xswjUNbK+kN8dtRDceqiig/PzWO7ntA+B13tE0eKpQQFpc9sXDBneegl0bjcF9ka1i3sEBV7kqyRxgSAGqa6hEScvEfMUqohHh3MEqxLRgwqcuLcUgxQUD1rYZ09IrIeOSL4OXkuqmJ9TxEjk06CGkYpqXCPCMAX5L7+iIidb+C1xjli7kDGYjje3mySk/FZOOHOBOb9x6OTw83zGNdVn1SExPpmjnieHaGRR3eMmGx267gRX0eTosYSMUsh4vkxMakIUWMejStIU3vMBOQIOU5LhO2LFcQkJiYLRLPfiD69MfORgo0x5o4T442jHMdivI5j23fmJ48YbzCTJmYMEvTwzjTCMUGKsJyYEXjEZYJ4wFiri+XWmCELiaccQ9ECTAoyb7ncjhExI8nJnF0lmYh1UmZrhG2Inb6Z/ghElophHQseNvB9XpcQhYbzc0LGhRdiGSFZFwJnHveIuQnxD7KU9DXDk5nPMCMXI98xbNbNUzJnkzqPiAlK3sTObdRxMkqIWUbsDO42WbOvqeH3SUzGycaoBk1bJ+t9vYGTZy0ghlTE8CMlA2WNGK10yRibbaPZ1FWVVajzWoZrReEYfGwkaL51NEJjlBkf27VKjMCoSY1j0DKp6NZv1EF/yT710VdM6y8TkO19y+guIXBQEBABeFB6Uu0QAvsAARGA3+8kEYAYrSIAARMRgCIAgaASAWgiAAnZIwIQ5k8RgBgnIgBxoIgAFAG4D7ZPqqIQ2FEERADuKJx6mRAQAo+EgAhAEYATBJQBqAxAZQDiTKkMQGUAulGhDEBlAG7nq1IZgMoAdOMkUwbgdoaO7hEChxIBEYCHstvVaCFwZRAQASgCUASgmY4Am4kAFAEICOgIMEAiAlAE4Ha+1kQAigAUAbidkaJ7hIAQmCAgAlBxIASEwK4hIAJQBKAIQBGAkxgQASgCUARgGQFpAEoDEMaENAABEmkAom6tNAB3bRujgoTAgUBABOCB6EY1QgjsDwS2EoDPuu39Vj1ywQTkXAXNN2aOotp3VEERrJUURZc7Kb4vColQuKPaTU5NWK2OSuwnGigIvTrCeixvNKFzijFudAqmKE/uy4mI9+wRFNl+XGsJyl0jOGVEFHtxA41BQgcCbxO1dGYColhPlPeTgGgT+UR5PsD+yoh6fDogAlhdvOYNsDKuecAEtDxBJfcUfVEsxxAzf7acifC4NprF+ESw3SO6kMMU29AM+tCvmyM0kFnsYdz1Bmg9wMoNe9j+KEKheGLQaR5pW5Gj4n/h4GTEaOemqzCGmeHLbITxz4bTpiFO/7p5HPBcOofxH4xIfIYYT9UO3tdaxfsqZGwTj44JVVqqX1rHTJeohoL9m8SNYNjH/q8uYd8QnwRLiQmMEd3OKnGGyQh2bA4MyPw8GKFJSUTMhlyESchZzsgUYpbDDB+oqQjRY2RzjJG5zatjTMxuYuy0cbhbA8Pd4hYaCAw3Md7Hg3J/s7A20q4KmdoruNxZ3YnXSfDWcamkZhkJCbwhwSnYQOyGDZyfvAzvK4iZS1FF3H3HRCrYwHtSUt+CmKX4xNyHmbYQ7wjLsQvNI+/LSLljsiyS4WQZ+aYgs535xLgjdswy4hgr0iZprDmZn3IyaY9H2IiwhcEYkrq1Iwzk0RjXtj4xC9kkzi0BMR8ZEbMQj9RlJip32iDFufhEBQf21RE6HnfGaCDSHaOBSk6CrDu8cN/EBOTjf/Hy6foiE5D9sYdSLYXATiEgAnCnkNR7hIAQuCgCIgDPQyQCUASgO1hEACIDKgJwOluIAHQGiwhAXGpFAIoAdKNCBKAIQDcmRABedJuiG4TAoUBABOCh6GY1UgjsDQREAIoAnCCgDEAkQEUAigBUBiDGgDIAce1WBqAyAN2oUAYgxoQyADF7UgTg3tgLqRZC4EojIALwSveAyhcChwgBEYAiAEUAmukIsJmOACMJLAJQBKD7OaAjwEjs6AgwfjSKABQB6EaFjgAfos2VmioELhEBEYCXCJhuFwJC4NEjIAJQBKAIQBGAkxgQASgC0F1JpAEoDUA3JqQBiN9b0gCUBqAbFdIAfPT7Ej0pBA4jAiIAD2Ovq81C4AohsJUAfOH7/5PVjh55uCaLxARkXMNfdWtE8P7cGF3R1geoUB4QEfh6vSzOXCUmI6MCj1I8dfZ+QHGQo7DzV5ZPwX3JOgrbE68MswCvNtsDeF+rhgLwV1VReX2QYf1SIoD9nXMLUEbgyOnUctRcuqV9Fp47O5yBaxlpV99Dce6YiHgPElRFX38ADS+ie9DcIP0sOTp27Xehfv7CA3Ct+eP/CNdeOocC3U9cWC7dd8fZN8Jz9ZTUI8f2rw0xTqoe9vXaAO9b66IoeEGEzZm5RyNEo4mQiJ1nQ+yLSoBxsdBEM592vexu0AmwDVmEfViNsG5NR2B9AviZBOeEcwPEpHuO4NRDIibzyQjFLrPmOj7b7OKzETHC8cj8FEXlzW4lx/YXJP3n3AbOf1kH57EqetRYXidurCexXytN1NhixgvjdZx3gi72bdQnpCgx7hnXiIZoq4xx3iJmKT62gZkM+BvYsZUVXDQzjxzl72Nfp8R4IiRn/ueIgcwMibvGgJhW1LFtxBfChiPHBITMxZ5jFDJpeUAMb2qkzBYxgfBI//tD0ocYJpaQfsw3MXYy0rdsXBAfLPMbmHnqbZbnI5/Ea4JeDGbEzIm1tSB4FmSK8RLEifjWWEFMWkbEpCppYCE5qYtH5ntmAlJxYpF4lphH+jUm/Z+Rh8l0Zwy7aBYBIMWaEWHErEeOyhJMulUcUaOUGFyRZ1vOd+ZcjE4usxGu7Sn5LuiNyJpFvuM8YiK2dWrv95fsYx/75enEJhOQK7QpUrFC4AohIALwCgGvYoXAYURABOD5XhcBiJsQEYAiAN05UQSgmQhAnCtEAIoAhLlCBCB8UooAJF/ZIgAfBkUE4GHchanNQuA8AiIAFQlCQAjsGgIiAEUAThBQBqAyAJUBSLLHlAEIa1GoDEDARBmAygB0g0IZgMoAdGNCGYC7trVRQUJg3yEgAnDfdZkqLAT2LwIiAEUAigA00xFgMxGAIgDdlUxHgDEmdAQYj3LrCDB+A4oAFAEoAnD/7o1UcyGw2wiIANxtxFWeEDjECIgAFAEoAlAE4CQGRACKABQBWEZAGoD4cSQNQGkAQrYj0diTBiDqGCoD8BBvttR0IXARBEQAKkSEgBDYNQS2EoA/fft7rL7FBOQebxbqsR6gjPPIJ+YOhtc8IrLfnkcDjYVG2aBgeYTK3psjNCh46jE0imBGHl85cy3i6wixT25gYt8FEZ1uNFEouh4TV7wA1cg3BqgKHhV4X28T72v45TKCMW5MakSHqZsQKW5y1HG+1QOcItd5xMy+s3jBOOahB4rvonq4fyfC7v3Ql+BiSExARletw32Vp3wPrv17IrL0hLgcY2ubc/DcP3zt1XDtwRtQYPxcD8W+U6IAnxLh+XGfmKo0ME6Yt4WXk/E0JO8jG7FT84jdzc0z0N6OX46Lb42PwT1xDbN/rqnj+5n5zjeWTsD7sjVsQ06MF0bEpCUPsX/iDdx0za+ycYGxmM1gpwXEVKPpl8Xik01sw4iYIgyIsH1KnjUixj+cx5ms/bhNaESDGDKdfvAo3Fddx3iqEGOUkBgZGIaADWaISUm1XOeUGRtU8GXeKs4dNQwxq61hf6UBtitHXxQriKFCSAZemywgLTJ91skc4GMoUqmFxMEl8YgpxBBfFlSw/S2CZ5OsO9kqrif+iJiAEDMOq2OfuUYmk4AbE+OilBgSmWF74yq2rRiV4yIf47iLqiQ7kRgtjUf4bBBhmRl5NiXzOJmeLCdrQFbDizMzuM6mZL5PiKlETurnRkpA7jnZRrOsjSGubTkZJwmpW0T6eqFaNpWaxEROzNsS8j2ysYF1GWVkjiFjYEzGcRxjXATOOLu2jvPpkQjNsk4P52E+DUgMbw7wu7VCDEpaW5rV6y/ZXX8pE5Bd2wCpICGwhxAQAbiHOkNVEQIHHQERgN/vYRGAEOoiAEUAukEhAtBMBCCuiiIAkcQSAYikiwhAEYDu7CEC8AIiIgAP+o5L7RMCPxgBEYCKDiEgBHYNARGAIgCnCCgDEMacMgCVAagMQLIUKQMQQFEGIGZeKgMQx44yADGTVQSgCMBd2/CoICGwhxEQAbiHO0dVEwIHDQERgCIARQCa6QiwmY4A6wiwu77pCDCu+DoCrCPAblToCDDGhI4A6wjwQdsvqT1C4LFEQATgY4mu3i0EhEAJga0E4I//5/dZ9cgFvaj7rAVo9XLUZ8o9ortUx8307DHUhAljvM8LysepNhPUK0oSov/D9KQKPJqVdFDEaY7o8Kyv4QdcQfSZrjmKAlUe0aEZZIjdaqcOGFc8/JhuGApZNRxxqzTBX9eHKZZJussyouM4Kki/soSgB1GPsfgu3jj6t0Vs6w//f3At9tfgWlggxr2no/biLxFto58Oy+/71tqN8P7knsfDtbuG/wtc6zs6VJMbhvPYN60maluOMsSzHZb15CbvO7syg5isY9/GRBOpOEY2Ym3UmJqr4bWxEyouITipVLWCbfU81GZ6YB11Fr0lHHdMo9NGZE44h9hVR1iXJkpbWXON6FESHbf0FPaF30YRvL6jHzZYxvgPF7G+IdEKHQ5wHhuQcZe08Dh60cBr9SbWd3OxDfFUIzqLRFLRyHRvORZrwwqZZ51LTCvTyPzcfIDoE5Ksw8Y60Ykj81hG6psTPVo/xjbgCmDWxC5jsnjGjgCnJNN65OiYpWRNtC7RACRzcYzQWUzaVemRuR2HiZEpywicAodBFQAAIABJREFUVoxI/0d456hFBBmreK3ifANMmuo7GnhFSnT8fIyJeoTv7xCtWI+s7SnRwOsT7VWmFdho4xoQkPoNibZfQoCPIxwEbE3xnXbMV3Beu7GKa+zZIc7ZQ4IxkTa0ZoxlRMHFdfcm/brcx+/MggUe0+is4DflkMyfx2JcGLpZ+btyPsQ1cT7Aa/ePUfO4T77tOiP8tjtKtKFnvQuIdrrL9h/vOK9HfPr0aTt58qR2LEJACBwSBEQAHpKOVjOFwF5AQATg+V4QAYgbQhGAIgDdOUoEoJkIQFy5RAAiJiIARQC6USECEIliEYAiAPfCXkh1EAJXGgERgFe6B1S+EDhECIgAFAE4QUAZgMoAVAagMgDdpU8ZgPgxoAxAxEQZgJgFrQxAZQC6I0UZgIdoc6WmCoFLREAE4CUCptuFgBB49AiIABQBKALQTEeAzUQAigAUAVhGQEeA8dtCR4Dx6LGOAOsIsDtSdAT40e9L9KQQOIwIiAA8jL2uNguBK4SACEARgCIARQBOYkAEoAhAEYAiALciIA1AzOyTBiDJipUGIIAiAvAKbWpUrBDYpwiIANynHadqC4H9iMBWAvDm/3CHxUcWHm7G8rgGTcqI4P94FmWh/SbmCczNomBzu0423WFZJ+Y7qyi6bEScm4l42xg/4KMtossPNXC2goLdnSGK+1eIEPdVzQ3AaTVFAejuGN+XEOOORoii5RFRsg+TMu51ZhRC3hUStf/vDuahDRub2AYmAF5gt5rdg6Mh9T4HF72nfRWu5R4aGczf24X74hAzMVpPQi3D/23m3tKz3yUmIGvfuwref/dXXwnXTqN/iKWzeNQpJIY09Qq2iynqry42odyoi+0qakTwvonjaaaGsR0TM49atfzs/WMUhe8SQx7rontApUfGHUkdCqrE8Oa72K/NBzCe/BTb3woIxhvo+JGTecyuR8F3m8GxuOQYCKTfQ5OiECG3sE5MS4gJzBChsz4xnlgeY7l+FTGJl3DeqRLb0rxOCj6GRjv1GK8td7GMzppzrYvv94knRG0T76uTbm0MiIVMTMroEYMKhM7SGt7XJHNbPSWxTQw0mNkSMwEpnHGREtMOH4c1NRkJSD0qpL4hWT/zJpndSUjkxJDFI+Y7aYoDvjdDyiAxFpFy0345nnzDm4oc50lmyJURIw8LialMgNcSxwRoMjOlxECkTb53+u6vLBP5jZy0gxhe1Ks47rpjnBjcb5QTVZzXjpCA6iaY79pNcVx3xzifpsSQqhrj4D7RwG+lpQGagBwh32MeMQyqkAmkn2H9bqqdgQVkmJfvW0nJuutjsCcFGvJ0c8RpM8Hv5xoZdwvRhcltYgJym0xA9uNWSnUWApeNgAjAy4ZQLxACQmC7CIgAPI+UCEARgO6YEQEoAlAEoAhAd14QAYhfFyIAkTwWASgC0B0pIgC3uzPRfULg8CEgAvDw9blaLASuGAIiAEUAThBQBqAyAJUBqAxAWIiUAQiQiAAUAegioAxAzGJUBqAyAK/YxkYFC4F9iIAIwH3YaaqyENivCIgAFAEoAtBMR4DNRACKABQBWEZAR4Dxy0ZHgPHYrQhAEYDuSNER4P26K1K9hcCVQUAE4JXBXaUKgUOJgAhAEYAiAEUATmJABKAIQBGAIgBLCEgDEIaENAClAegGhTQAD+X2SY0WAjuKgAjAHYVTLxMCQuCRENhKAF77to9YOHfs4duTBn79p0RkPLgadaK8CmrihBUUBZ9vocr6yMq/sC/3UZy5IGLK1RAFmz0iMt8gZhlBhvVd6+MRjiBCUXDWLj/A9zGTkkqAmAQ5lpEnKG6eOW4BjQIb20/xYz0jItYbA2L4QkTWiV65FUSg3jawXVed+k8Qiu3r74ZrHjEu+fa9J+G+k59FZ4BWG3XrKo8rB+2sT0TXu9j+7977q1Dm+i3Y2JwYNKSG/cXMV0YdFA/3iAvEXBNNUOYDJKx8EjtWYDwdr65D2/pRuS7/2LkW7vHPEsML4sXgo066hUzEnRgKHLkP+6cywkKiMbZrPkZMNtfRzMYj5iPVWZzHFn0cP51NJ1aYdwIR8b+qiU4Jx4NNwHiZiMevEAOh9SWcF2Mixl8bkw5qIsbJPDGVmUU8EzJXLq9jXBQPlLGLl0k9QqxHjRl+YNdYfUjmWBJ3Gbk2wJCwMTHfaJ3DMgIyf2QETzLNWuYYXE06P3SWQDafhKStATGe8GqIZ8xMS8hHgc+McSJsP5lOLFjD2Ml6OLg7MyTuGHakf+KBM6eSfvATMrcHeM0jhkQ+ibsEp2cj/jnm+AJN0WWGL2z9zMlcYcwvqkkmS2JKZs4ccOIIzjst4j5VkI+7cxszECnpGAdURAYtgdiONHE+IcuCHSUmINdHK1gXMshWxzgvzgToyvRgUv5WCJg5XIj1XSbvJ9OuLffR3MQG+AF97cyFMjq9ZfuTD/36tJ2nT5+2kyfxu0c7GiEgBA4mAiIAD2a/qlVCYE8iIALwfLeIABQB6A5QEYAiAEUAigB05wURgPgpIwIQMREBiJiIABQBuCc3QqqUENgDCIgA3AOdoCoIgcOCgAhAEYATBJQBqAxAZQAqA9Bd9+rKAIRPARGAIgBdBJQBiCmLygBUBuBh2UepnUJgJxAQAbgTKOodQkAIbAsBEYAiAEUAmhU6AmwiAEUAigAsI6AjwDoC7I4JHQHWEWA3JnQEeFvbDd0kBITAIyAgAlDhIQSEwK4hIAJQBKAIQBGAkxgQASgCUASgCMASAtIAhG8xEYAiAEUA7toWRQUJgUODgAjAQ9PVaqgQuPIIbCUAr7/1oxbOXjABGaL+syVtzAjIG0w8HjfTIRFZr1bRuGLolV0VNogZhx9imUdqaCiSjohDAxEKrxZ4YGVjiArgaYHmDkzs/aaji9C5lQDb+mAfTSuGCdb5VAVNGwaDssj+eheV03vLeC1soZh4XMO6bRIDkTQj5hZ1fDYgBg0ne3cgJk/8F7jWrm3gposYIzz4ucfDfac+h7g3fuj60n2D63Dc9TM0e/i2/wq4MZzDOBl7JCaIgUrWR/2fChFPv6aKxhC1FDFeJwYiKWqdW5hifxdE8H+5aJTa2yNOCZURttWY4Q8xxqiMmOEDzietVWJkQGJsrsDGVhLsn+UVFIU3YoyQ5tg2MhQtcbqRCfsbEfavVvGY3EIFNfaWNsv9MOmUZAPnosaDiJNPTDWMnERLZ8k8PocxlgXYkcNFrEvexbqEjmZ/tEkMNUgcVogBQkimceZ/EPexjDGe7jcSnpaS9amyge/ziRfDiJmqkHI9YmaSO/HEvDjq61jjCjEGSecwhgNqyINzYEgCOcyx/WSqtIDULx3iWOzHxMyKfAZlTTKnOqZkPpljI2KgRL1NSJwExGhoWMe4HhMDMkYKWkJiMcb3ZWSu8IfEVIWRscSULHOmj5xMf+wYe0DMUqJNHHg5MbJJq1jfYkj6sI6DJ4gwTiox3ne0ivP9kJgjVXwyVnx2ILkceB3i+NIdEcdjEq9VMmmRYWceWVAWaheMxbq9ZbvjzvPmYzIBufL7I9VACOwmAiIAdxNtlSUEDjkCIgDPB4AIQBGA7lQgAhDJYxGAJgJQBCB8NYgARNJFBKAIQHegFCIAYe4QAXjIN2FqvhD4PgIiABUKQkAI7BoCIgBFAE4QUAagMgCVAagMQHfhUQagMgAhJnCqVAYghokpA1AZgO7YUQbgrm1tVJAQ2HcIiADcd12mCguB/YuACEARgCIAzXQE2EwEoAhAEYBlBHQEWEeA3TGhI8AYEzoCjLoFOgK8f/dFqrkQuBIIiAC8EqirTCFwSBEQASgCUASgCMBJDIgAFAEoAlAE4FYEpAEoDUB3TpAGIG4WpAF4SDdQarYQ2EEERADuIJh6lRAQAo+MQIkAfNtdFs1dMAEZtMjH7xwTp8b7rEJEoZkaN/mZNKiXBZuZycZMA9XUCyJi3uuiYH2YEW2eHopdex32Gy7i6R3DX39vWfge3LiZoqbafctH4L6QCO8fraJZwHBQVo/vEsOP6gq2IauTrI4mimQHM9iunAiRewG+b0jMV4pzWJf42ndC+6s1FPt+fITtP3cG3Tyu+QYqnnuz5XKzIxdEtx8q/P77Xwn1GDwB49ojhhcbPezXoIdtJV4hduOps1DuE0I0Mrl3YwHuW1lDlwG/h+LpAxLb/TGe4xudK6vHMz8JH4eTeehtYuxZoh1vIYmnOMe5o+qhRuURH2MiIcLzq0sYE9UVHO/RGPs7aeO48NrlcdEdE4cKYlLkkXEdeTh2kpUq9HV9HcnJiJhlpMSkyZvFmMhYPzrz7qQSA2eOmVwLyTgucEhZ5PgWBWNsK4HJImLSZGSOCYiuf0AwKUh8eswFhAQo8RMwnxh5jLDLjHjvWE7qnDrzcUDWsSoxlKgSzAtSD2ZIY2RpY+O41sX1jq3H0TpZAyIcT0NSLoudrILPBo75Bp1PyOcOsS0yn5ibFCQmiA+YZcRAKM+YuQdWJmVx3MOCczIv5OzZFAMqr5brwsZJEWNHhMTgLCDXmJ8G8QaznGCckrFYkDXAJ5+ULD49cmNBjqiztdd3AihaJ2s2MYYZEXOfjASjV8UxERHDl2hLsYPBov2Pj790GjgyAdHuTQgcLgREAB6u/lZrhcAVRUAE4Hn4xyIAIQ5FAIoAdINCBKCZCEDcKIsAJGQPcQsWAUgIRUJkigAkLt0iACF4RABe0e2DChcCQmAHERABuINg6lVCQAg8MgIiAEUAThDIlAEIA0UZgDh3iAAUAagMQBwXygBUBqAbFSwrThmAhABWBuDDoCgDUDs2IXB4ERABeHj7Xi0XAruOgAhAEYAiAM10BNhMR4B1BNhdgHQEmJDgOgIMoOgIsI4Au0GhI8A6ArzrGxoVKAT2MQIiAPdx56nqQmC/ISACUASgCEARgJMYEAEoAlAEYBkBaQCSjC2i4ycCUASgCMAyAtIA3G+7IdVXCFxZBEQAXln8VboQOFQIbCUAH3/rhy2avWAC0p9HKJIZsiFoEhFrIs6ckzMxXozPVppl8aQswI/rKEaBpQpRp+5somJzQMSpsxFKhecjIgpNBMCbx9GM4JrGBgDFxMi7Karxd0d4jWHXXy63LSBaSuGAiKkTbaqMbOqS43hjc7YP7UqIKvxmH9XoQ6JGXlvG/h+e+EMoo5qgevjcBpo7zCfE9CUt1+V/3ndeZHvrX3ALmkzkNeyxUYaGD36HGMiQzq7MY+rQtXWMkwYRVOsQPIeb2GldYm6xvFg295i2exPrXOmUY8UjhgIhaVdAhN19IoAekGPmzSq6NgTEpCclxhAD4iiQYTda8ADGRI1kcYVEyL1o4wsb9fIYWB0S1Xmi18XmomiE47PaJ/MdMShgQvmjOWIKUCfzM+mfnDhD+MRUJVonc8oAs11qi+X7QjLvFKRuYY+QKaRvmBupEfOAkJhqhMSMw6siTowA9EifjWrEWIncV5C4GzfLzwZkjMXEPCB2TDEmw5qtAUZiJ4+xvkWNGEERcwuPgBytYqVTch8JAWP3JWTuKZz+iRIss0JMYJhZTkHwzMi8kzAfMFIuMyDLST8STw1LSOwYMX0xYo4UEwMRF3Yvxb72iCtGSL7PKmQ+9dkgI20lQ8wSYu7CjMWY0Qy1ZCPvY3MqG1ORG4zkO9OYYRyZY6gJCFsryZjdOhf1R4v2V1/5+ekSLROQQ7UVU2OFgIkAVBAIASGwawiIADwPtQhAQvaKAARQRABinIgAFAEYiACEgZGJAARMRACSdVYEIIAiAlAE4K5tglSQENgjCIgA3CMdoWoIgcOAgAhAEYBTAlQZgDDclQGIM6AyAM2UAagMQHdkKANQGYBuTCgDkJCdygAEUJQBeBh2WmqjELg4AiIAL46R7hACQmCHEBABKAJQBKCZjgCb6QgwORapI8Cw0ugIMBKgIgBFAIoALCOgI8D4kR7oCPAO7Vz0GiFw8BAQAXjw+lQtEgJ7FgERgCIARQCKAJzEgAhAEYDuQiUNQFy6pQFINCqlAQiBogxAZQC6CIgA3LNbIVVMCFxxBEQAXvEuUAWEwOFBYCsBeNP/dZdFMxdMQJJrUbGnV0fzgLROVJHr+PuvT4S3wwjvKxwx5rBKhO2JAn49RMXqtVU0QPD6TJ0ZldJnW2h4QbSzbaYygIDxCCRVooKfElXw+1aPwPuKFOvsOxpTQQ/vCYkxiPvcpLCEGLlEC9iuVgOvzdbQBOWB0Ry0ISHnjMdjPHucE1ON1jexbdf8K8bF+o2oAu/dWK7zcrWO/dVA8qc/RvOIggigk662egOBP0LixEi/Hg0Qz+4A69LZQPeNjXN432ARNer8TcQzcgxjYiKoXyOGAjEz/JjFvpmZw9ipkULO9rF/xqTcfoJzUc7MTTaxh/wI+7vSwgbXyQAaO8LwfeIU0GXGIOvYXzExNwnIPMkMP3JsviVEjpCZDBSkz5gJQExMABrnEE82z9RWy8MsJjqBKfr4WE5Sh1JiqjJuENMOYuQRECOLiMUxucjGNkaOWVRFoCIy3y+tEUOeSrnBMzWcO2aIk0VvgAZX6QYxkCKNCJoY6zlhrMIAgYqIg0q/h4GXpTi3Zx6ix8y2iE+XebPlOsfEoYUZRbB6FKRvhsQsJiXrkxFzsIAZhpGx6JHxVMzgxTExGslJez1imFM4EBck1j1mjEMMzhob5Lh/TOZT8sHjkXHMzF1yIzFBTH+IR5H5pMOr5PuOeMZZzVmOCmI8M2LzExGyzInRSk7638hEHmx532C0aB//okxADs8OTC0VAhcQEAGoaBACQmDXEBAB+H2oyUZHBKAIQHcgigDEqUkEIHFjFgFoIgCRKRABKAIQ1hQRgJg9KQJQLsC7tgtSQUJgbyAgAnBv9INqIQQOBQIiAEUAKgPQzFMGoCkDUBmA7qKnDED8DFAGIKZ2KQMQfwTwlAGIpwBIlp0yAC/ApAzAQ7HtUiOFAEVABKACQwgIgV1DQASgCEARgCIAJzEgAlAEoAjAMgI6AqwjwPAxpiPAAImvI8CYxagjwLu2j1FBQuAgICAC8CD0otogBPYJAiIARQCKABQBKALQTBqAqAupDEBlALoISAMQs/2kAYhUuTQAySZAGoD7ZGekagqB3UdABODuY64ShcChRWArAfjk13zY4tYFE5DiesyIWW2jyDgzAakfQ/24uSqaanSI0ULPUbJvNlEU3Sei8FmOH+YbK8TwgYhiN4m5xbWNNYiLVjiEa90cz7UMiAJ0l1xbG2D9sg7+dOwR8XRXE9wn4tQhEWxnouB+hA8XRIenUcP2n2itAyYPJjNwbVigCcJgjNeyEXE3cAxPpoSVj0fRWjHWL47KIutrYxTP7/WxD4MBEiLZDJbZaGKZRysY6xukr0Oidt/2Md5XNtA8YEwML/JFsjk9g+0oRsQEwxF8J74GNotNtRYRYveJCYjN43zSxe63LhnHqYeDdkQMD4I+2Yiy+s2j8P6JxibE7PoAx+LyRjlWsh7BnJisxBgS5pP+95iDEPEtGpPjdGQ42biOfc0ydlxR/OkYI0L+cw+Q2MHp3twpmnShDYknRpbg+8ckFY8sHZaTo/wReTYm53jDmJiKsBRAMhdDY83MC0nM9snc5piAVCsYm8fraAw0II4K/S4GBTuyHFdxvq8To5FBigM0CjAoNvv4XRDGeF+NlLFOzEyIR4XVK+V5kdW3GhBDDcPBQ7yxLCf9GpOgjV2XDTNb6bdh7piLcLJ0/M2mz5yqrsCzgwLnlHqEMfC1/tXwbOq0Y0jMXTYI5h6zLV7BeIpDHBTVyvYyRWPyiwKbY9Mx9hn7BgpJNmaFTBYhGXZVx4ApJCYo6QLGU0LeX5B1J2MZgAVZn7aUOxgu2qf/XiYgh3ZDpoYfagREAB7q7lfjhcDuIiAC8DzeIgBFALojTwQgzkUiAM1EAIoAhJFBfpASASgCENYUQiiLAESmTASgyQRkd7dCKk0IXHEERABe8S5QBYTA4UFABKAIwAkCygBUBmBFGYDKAHQQUAYg+RZQBiCAogxAZQC6QcGOiisDUBmAh2d3pZYKgUtDQATgpeGlu4WAELgMBEQAigAUAWimI8BmIgB1BBg28ToCjKurCEARgA4COgKsI8DuoNAR4MvYmOhRIXAIERABeAg7XU0WAlcKARGAIgBFAIoAnMSACEARgCIAywgQzX4zEYAiAEUAlhCQBiBm9okAvFK7GpUrBPYnAiIA92e/qdZCYF8isJUA/JFfudMqzQsmIPkpFEDePIkfOp0mCoW3FlAVnmlMZ4bvczddzSqR7CZaOr0Ehcj7fdSXqQWod3eitgH9NySK+vNEyX+DmEoUZOd4tt+EMrIVrLMR1XaPmACEjhh11sJ0natnsV39BPurS4w3iKeIzTXQySAmBiLLCba110HzDZ+ovQdtNIsIyKY7IECFxBgkd4S3e5tYD88RBJ90VBFhR4QtrFs1xHHiljl5X3+AfV0j2I27GLPROnFo3cRBEGB3W7SIU1NOOtfVmK8QfNs+YjJL3uURUfhBG+NzrUB19iGJiWyIbU2JSU04IoYnFayz18JKV4hAfYcY8uQrZYH+EL2CjPi4mJFsOiOGRMQDxUbzpA+JuQnxHbAiJnMsmU9qxKSkhqFtsw8ingFphzu1j9DvyAbEjSMjhiIZWQKYCUpGTEWYKUBENPuI94YZMVohy4cxE5C8iR1ekPjMHfD8GsZmRAxFijEGgDfA8cTiySKSsUVMO9hHTUHmhSTDgDra7sDjsyF27rkhHp/tk7U3duZZn5iREI8FK1y3rInmb4UEGWlXhQzQhuGg6I0x8I6H2H5mKnJjtAo4rZB50ScuX/dkc/Cs59xX8dGM5MExPjdMcd0528WJZ5bg/vgqToLjHL8zKgGun+cIdhlZ7zfIgB8OcU1tkskoIB+fxbg8Vsh0ao+bWwZ81wmz9+BmC+4bk2+q+dku3JdsGaD93pL99UdeOb3n9OnTdvLkyX25r1ClhYAQuHQERABeOmZ6QggIgUeJgAjA88CJAMSNowhAEYDutCIC0EwEoAhAWG4JoSgCUASgGyciAEUAujEhAvBRbl70mBA4YAiIADxgHarmCIG9jIAIQBGAEwSUAYhZUsoARKJHBKAIQGUAkhVdBCCAogxAZQC6QaEMQGUA7uX9kOomBK4kAiIAryT6KlsIHDIERACKABQBaKYjwGY6AoxH+3QEGBdEEYAiACGLSUeAISh0BFhHgN2g0BHgQ7bBUnOFwCUgIALwEsDSrUJACFweAiIARQCKABQBOIkBEYAiAN3VRBqAuL5KAxAzg6UBKA1Ad6RIAxBlVUQAXt5+RU8LgYOMgAjAg9y7apsQ2GMIbCUAf+xnP2yV+gUTkNE1qAKX3IzX1hfwl968SY4PtlCM2idHp4a5I85MRJ2HGX5cHa2iiv1ghHUbDFHsOiYK/d0uKsAz04ZKSHAiyuvdDgpWB5soPZ3ViQsIMTxwfUaCGorOX9NCV4iVHppgHKng0ZS+I5I9CV3iz2CFh8dnl3toAlIQUWwjytszR3swSkIi5L7WJa4CrIJJWaA+GJDjvsQUgpmb5MTsICVlViMkk1Li5JKSOPGWME7qKzhxkC4z3zGGmTxFtOipMH4wKsddgxiUzBEAKmNivEEMVNZj7OwuDmNL1vFiRoZEPIdC/iNicOORGCOvs5iYgAxWcQ6onCnHT0b6nwwdY6YlKTEz8kYkPolZRkDaVSdmKfUBtjZ2+noSJxXybEDGdrWD7ysC0pBx+b6UmCwQbw9LiFkKva/CcCLjhIiZBsTcI0Z5MvNJfJIwMZ8YzRQNnCwC4j2Re+X7MmZuQ+asnJi75KQfmPmWEbeMnIxZNuFnbA6M8WKlSdZ7YvqVDHGNZvULKuWOrJAOG5LGMrOQhToez/WJ8URUYLvO9WcgyDLyPXJL+wzcd2OEphJNYqz09QTNN84Rh5tFYoxxpFp2M498DOyEmIwsjdCMZbWH5hZk6NjJOn4/GOmLE8QsZDHFb4VzxDFoSCbVaxpYbk76YjTGb766YxjWCHDNvqqCzvCrKX53bBIDle4Y1/Grahh3tmVe7HRX7E8++L9P40YmIHtss6TqCIHHGAERgI8xwHq9EBACFxAQAXgeCxGAIgDdeUEEIDInIgDNRACKAHTnChGAIgDdmBABiD8MiQAUAaj9lxAQAhwBEYCKDCEgBHYNARGAIgAnCCgDEMkuEYAiAJUBiFl2ygDE5VkEoAhAEYAOAsoAhIlCGYC7trVRQUJg3yEgAnDfdZkqLAT2LwIiAEUAigA0K3QE2HQEGI+AiQAUAQiZwRgmOgKsI8DwEagMQGUAukEhAnD/7pVUcyHwWCMgAvCxRljvFwJC4GEERACKABQBKAJwEgMiAEUAukujNADxY0EagIhJKgJQBKCLgDIAlQGovZYQEALbRkAE4Lah0o1CQAhcLgJbCcCf+Nk/t2p94eFXJieIK+aTUP9pfB1eG1RRPX1UoGp9VEHF95Ej4hxV8Shiq4IC460IpeIHxBTgzAqKeIeOEPsEBD8jIvNDbEPYw1+6/QSfzYjhSYaPWkbE48MaYtCuldsbE6OMG2ooOv7VxWsgbE7WV+HagIhuf3cFxcmNNMJzHUrMrNrG/mEmMDfMouPFdzpHoH7U8GGE/ePC4scYc80q1q1iiPlojO8fEhOMWgWF19fGaL4yJoY0lQ0Mikofx1hAhPx9YrQQEeOBhTqKm8/l5THlpViPThcF23PShpQY2fRCfN+4jhiPe4jxXBU1Ko8GaBbzQGcW4qRgxgMDFIUn0Fm4Quas9XJf9I7iLDwO8UhkSswTMjJPBF2cO3xS3RoxfJnpYZwQfwqLyLMVYu5hxFTCdYuetJ6ZqviO0UiR4F0kdGxIXjYIERNmoJITnKok/iPiWeITLwpSrHkNrGCV1Nlv4DwToE+V5c4yOyYmIMaMYcj4Z2YsxO/BImL4QpZA84kFuHUsAAAgAElEQVSBDPNy6jUQ0HGNmM/08T7aF8xTxplTxsQ8w4hbTE7WXZvBb5uc4BmQMohXiLUq+L4bG7iOtQP8bskN58V7h3MwqUQhrikDMrc1wnLAr5J1h3x22NoInYw3NvFaPcY5+7o2mo2tDdEsY54YtS2R+8hUaUlKjN9quAYY+c7sjdCQo+mYtzUJvhEZFBvEeIWtu40QYyIjMTbMLkw8/d6yffTOX532vUxALnd3o+eFwP5CQATg/uov1VYI7GsERACe7z4RgCIA3YEsAlAEoAhAQtiwPTdZBUUAigB0wyIWAQgjRQQgEoUiAEUA7uuNlSovBB4FAiIAHwVoekQICIFHh4AIQBGAEwSUAagMQGUA4hwqAlAEoBsVygDEcaIMQGUAulGhDEBlAD66XYmeEgKHEwERgIez39XqXURgcXHRvvjFL07/+9KXvjT9b2Xl/HGNV73qVXb77bc/6tr0+317ylOeYvfee+/0Hdddd53dd999F33f5Ln3vOc9duedd9rdd99tSZLYqVOn7MUvfrG99rWvtWuvvfai73g0N4gAFAEoAtBMR4DNRACKAAQEdAQYIBEBKALQRUBHgHUE2I0JHQF+NDsSPSMEDi8CIgAPb9+r5buEgOcRgZnvl325BODv/u7v2h/8wR883JLtEID33HPPlOj71re+RRGYmZmxO+64w170ohftOEIiAEUAigAUATiJARGAIgBFAJYRkAYg6vhJAxDnCRGAIgBFAO749kQvFAKHCgERgIequ9XYK4HAVgJwkmV388032yc+8YlpVS6HAPzKV75iz3zmMy2Koul/nU7nohmA3W53+sw3v/nNafmvfvWr7eUvf7nVajX79Kc/be94xztsck+9XrfPf/7zdsstt+woZFsJwJ95xfut3rigaL+8gAL4D9xYxfJPotZRWiGi7SNUaC+IGnUelzcdx46tQ5lzFRSi8ogUfd1QOPtrK2iCUTDDjwTbH6ygUjzTNWJi9AURih8ThX6/jXWOI8S47thRnqjiR3iDqKJ/belqwDPHIi1JUHQ762AfehVU7AmIK2SjiYUwg4YWUe1/cA3NHaJ17J+cmE8EzbJoeSUg2lwZMU/wUOw8KvDacg/NPUbEZCJaw2BnMeths6wgBgWkGZahZruFKbb3qhhNNYJxGYPuEIXT0z5ei8ggTo5imcSPx66ZR+3JRoLHsat9PE41HmJ8nt5As5jBBvZPvI59kZOxGG0yNwIHpxMYO1lI2t8nZWI4WbiJ9zHn2RbRU3NCfTrOYzLHhiTea8vYVjIELCBGIwVzcnDmY2IKav0WLicJdrX1iMuGa54xeZOXYxuCCPsnxNCxMCLzGFltq8TgpUrE/ZkpU0EcJEaOIUtC3mUdEjtknvCIKQQjMZkJTEBiMSfXRkSgrU/MV8ZkziLeXRaRCrI+85zlg/jYWEZix/EUm/Zo5nxjTK7lpL45Wdt8UjDxvDJmcBUQ07OAxNOQmI3lxAxtrt2BCPW98tzzYBdNz5oRMXgb4redt4TzvVfHAGjPortNf4SANhzjsknlhyRQUmJAVZBxccM8Gq30x1jnjARB1Ql4ZoxSkEmrl5A1kBiwReRaP8GBEmy5r99fsv/x0X837VOZgOzoVkcvEwJ7HgERgHu+i1TB/Y7ArbfeOiXdJv8dP358ekT3hhtuuCwCMMsy+7Ef+zH7x3/8R/u93/s9e9/73mff/e53L0oAvuUtb7G3vvWt07Lf9a532etf//oSvBPS73nPe56laWrPf/7z7VOf+tSOwi8C8DycIgDJRlwEIIAiAlAEoLlEqQhAEwGIxKMIQFxTRACSH59EAEKgiAAUAbijGx29TAjsAwREAO6DTlIVDxYCO0EAvvvd77bXve51dtNNN9nXvvY1e+ITn3hRAnA8HtuxY8dsfX19moX49a9/3Xwff4d8zWteY7fddtsU9C9/+cv29Kc/fcc6QASgCMAJAsoAVAagMgAxBpQBiEuNMgAxA0oZgBgnygDE+UQZgJjdrQzAC/OJMgB3bGujFwmBfYeACMB912Wq8H5H4HIJwEmm35Of/GTr9XrTDL1Jpt71119/UQLwk5/8pL3gBS+YwvfOd77T3vCGN1Aov/CFL9izn/3s6b+96U1vsre//e07BrkIQBGAIgDNAh0BNhGAIgDdhUVHgHGp1RFgxERHgBETHQHWEWA3KnQEeMe2LnqREDhwCIgAPHBdqgbtdQQulwCcGHj89V//tf3Kr/yK/emf/um0udshAN/85jfb2972tun9k6O+z3rWsyhUk+O/s7OzU4Jxchz4M5/5zI5BKgJQBKAIQBGAkxgQASgCUARgGQEis2ciAEUAughIA1AagG5MSANwx7YpepEQOBQIiAA8FN2sRu4lBC6HAPzQhz5kr3jFK2xubm5q5DE50rtdAvBlL3uZffjDH57ev7a2NiX5ftDfU5/61OnR4oWFBVtcXNwx+LYSgD//m7dZo3VBRH/xBvwF9+x1qAG2FqLIvt9DlfUgRZ2kZBaPUzWOlQ0+Zhto+FEN0VCil2LdhinW4+x6G/ArungfKcIqXSIyT8w9iv+/vTOBkq2q7vepuaqr59e8gXlKAKMEE8BEouAEStCsCCoOIRLhBadoosRFTGI0ikpMoiLO4sDfYYliRCGRGBmiiA9JVKIGeAI+hDd0v567a676r31J9au6e3d3VdetV1Xd31nrLaX63jN8+9xz7/3dffY2gswX+o3g2Zv02HIl/doZNgJK9/kCeQ9FM2pcfRW95eZHuw7X458xOmwkVQn3GclI+nRA8bLTW9nDYQ2qaIy1ZCRkcXO6f1bA//KAEWPJlwTAz80TvwwPwIGIkbTECIq/b0LPp7CRyKFitFFI6/kULhuc+vRxpbQ+bmBAv4ili7rT5QUj5Hm+vo25eX1dR42EH3EjKH5uk+5b/1adeOT4vr1qLu6e1OtgecbgpIfqJia1LaKzeu7EF3R9VhKQkI+JdNY/ZfPb9DzJZQzpaMJIWpMzRMc5I56cMe8SRnKLkUl9bl9W3y4s76S4wdhZiSGMu0/RmItxn33CRl3Zfl2ZXrGcy1jJM4zEIBEjCUg0qhkPDWoo0ZBmFwvpNdvIb+W2xPXaO5/T14+Ro8LNF+qvRWPKubKxdpaMRAmhkr6uo1aCEuNeHDYSiJSM4zJGIotFI1lC2Uiqkk5oAgmjf6WskZEjWz+2onGf8KH0JlfFSFpSMe5tZeN6CiWN+0nEqtBKoGOsWYbNnMGzYKypRWNiZI1kJrGB+vUoaySkikaMh5YFI8GZj7nwDBvsSgYn6yE17OubHFO25s687kvIuAY2HaKToCwYyatSMb34RH1rymJGPz86Y26Grb4ZcRyjBhPrGShWkzBqcWHc3fS1l3voSAIS2GsOFUGgJwggAPaEmejkeiKwVgFQRDuJ3bd3714vRt/27duXsDTiASgefz/4wQ9cOp32Mv2uVM477zx30003eYdks1mXSBgPK0YFIvCtVHbv3u1OP/107xAEwHpSCID6JQEBUF9NCID6RRcBEAEQARAB0L9aIgAaH14QANVNtYwAiAC4nl4yGQsEGiCAANgAJA6BQJAE1ioAXnLJJV62X4nP973vfc+FajwIGhEAJW7gz372My8T8Z49e1Yc0kte8hL35S9/2TtmYmLCbdp0wFNvpRNr+7QaMwRABMB6AgiA/mumggegWkbwAMQDEA9APAD9CwMegHgA+ucEHoCGxzcegKu9mvB3CGwIAgiAG8LMDLKbCKxFALzjjjvcWWed5SKRiLvnnnvcySefXDekRgTA4447zj344IPuiCOOcLt27VoRyUUXXeSuu+4675hmtgYgALIF2D+x2AKst6GxBdg5xxZgtQazBVjflowNkA4BEAEQAbCeQMjaZs0WYLWgsAX4wDZztgB305shfYHAwSWAAHhwedMaBFyzAmAul3MSk+++++5zb3rTm9z73vc+RbERAfBgeACyBRgBEAGw/qs7MQCdIwYgMQD96wIxAIkB6J8TxAAkBqDy4iMGoP5QRAxA3iQhAIEWCSAAtgiQ0yHQLIFmBcBq9l7x3JMtvP39OpJ5IwLgwYgBuBqL2iQg57/1Iy49fGBr8d5j4+r08REde3Ail1bHxSe08FYY1NsfUofoSP7HjIzX1ReNao+taETvxZwq9al+3Df1eFKW2pKbTOr+TuuXP2eE8QoZv5WNAPhWsOfUgA5vn47r3/Yv6HEM9WtOSR+X/Yv6vHhFv8DMTOnYVJVZPbCQEZto87COVRkywhpNLug54Yxg36GskfBEO9O4wqD2OwoZwdjjRp9Lhfo2hpKaeTGn+1E0gqK7nB5sclz/FsrouW4lPMgOG0llFoxzx/SVHBvV4zg6NaUOTBQ0u1JG97nsi6D/8KQOMxA3kvuEjWuidITeFnvE2KTqW9kI5L8wo9ed2b36mi1M6OMGHtGdiWc1z7KRfKJozDE/ExmAPwlIrl/XHzKSBVVmta0rRiKTqI5r72L6MnZGvhc3Mm2ssca29bAR3N7a3m7kUHLGkuKstT3pWyqMJdtZDlF5Q2BY0EuWyw1qKDEj4UefAc9KZmNl7RxO6GtsIKLvR2NRnVRkvqDX47mynp+Ti/XzuGCICaP9et0tGHUtZI17m5HcI5zX9+eUwalgzJOCkZBquqDrC9dsbaxe+McO6DVgU0Sze3Be37cTvgmUNcZvXCauL6brz5R0komSMdaBuD53U0zbIl/R9WVKen2yEpUNxXUisOmyPndvRl8EGSOJlv/+VjGOse7FGSN5hpVoy3q2KRvJcvJ545kiri1kpCNxZePea+QAcWNbZtU9ZWZKL+4hKxFOon5hLBnXRMRIlhIxkkqFrKQqxlpkPgMlD/Qjszjuvn3zi70xNbPTZ7XnfP4OAQh0PwEEwO63ET1cZwSaFQAlAUc+n3cXX3yxO/vss00ar3/9671YfWNjY+7qq6/2jpEMwc985jOXjr/gggvcV7/6Ve+/uyELMAKgz5QIgGpuIwAiAPonBQIgAiACIAKgWhcQANX9EwEQAdA/KUIIgOvsjZLhQGBtBBAA18aNsyCwZgLNCoDNxNWr7dSZZ57pbrvttqWfqp6E8sP3v/99Jx6BVikWi254eNgtLCy4pz/96e72229f81j9J+IB+DiROB6Aak7hAai9OvAANDx98ADU1w4egA4PQDwA/RcGHoB6BwUegPpxFg9APAADe8mhIgj0CAEEwB4xFN1cPwQ6JQDecsst7pxzzvFAvuc973FvectbTKh33XWXl2lYyhVXXOGuvPLKwOAjACIACgG2ALMFmC3Aeqs0W4D1rYYtwGwB9s8KtgCzBdg/J9gCbGxutsKg4AEY2PsMFUGglwkgAPay9eh7TxJoVgBsZJCNxACUbcSyLXhmZsaddNJJ7qc//amzvAsvu+wy97GPfcxrdseOHe60005rpAsNHYMAiACIAOgcMQCdQwBEAPTfNIgBSAxA/5wgBiAxAP1zghiAhthHDMCG3kE4CAIQeJwAAiAzAQIHmUCnBEAZZu024KuuuspdfvnldaOXrcGy7Ve2Afu3EAeBqU4AfO9HXXr0QOD/XVv0FqZHYjq5QyWhH36KRgDouC/osvQ/bSRkGE7WR8YvhnXw/M3JaTX8B7M6U8Ku/cPquFBGe3tFskYSEOsnI+FFebP2CBlI6CQIm2JGdgvDiOMZzfjQIT3eSLg+iPUDU4eo2vJWko2ytlekosWPlBG1/5CUfvnZl9NBtxeNgOLROb19NGQwrqSM4P4JzTg3p7dTGdW5sC/weMKITVUx5mtit/bqMOLJu0hO8ywkdU/yOj6/sxJIWEHRQyN6Ph2a1tkitkZ0UPR5I3h80Uhm8tjMYN38KcwafGNG0hJtVte3TWe3GOjT83/WSFrgjMQY87/S8Pp26ob79+h5HCtooplthsfnoZpx2UhIUvJhKYV0/TGd68BZGVUrxpIQ368XhYQOMeeMvBCuz8iCoNMJOBc3ktSYnn3GLvi8MQeKfZqB/zKLai1NJVSRkZey2obZuGHDTQZ347iBmM6CUs5qKuGikQXYSCoUNhIGpYzjjBxFzhl9WfQl38kYi1jJEBMScT0uKxfBoLHexYzEEIapXcZQgC0BMGtcA9Z1MZrQF/dQRF93+3MD6iKIhesnd6akr/+c4WEVMZKWWMlN+o2EXKNGgo6S0w8B8ZC2Rb8xLmckuKkY7Hblh/Qi4Bu/HDBd0OtizNdGyGASN/phJQYyE+PEtA1zRkKWXRk9BiMfkdNXu3M5I6mMgcltNpKj7Z/RcydkJJvyjzeR1M8Y29L6eWfvnK6/nNVzMRLXI6uU9cWdSh2Y/4sL4+7GG17h2Z4kIEG84VAHBHqHAAJg79iKnvYoge9+97tu586dS72XZB1V4e2MM85wl1xySd3IXvnKVzY90kY8AKXSubk5d+qpp7r777/fa2P79u3uwgsvdKlUyt16663edt/5+Xnvv++88053yimnNN2XlU5AAHycDgIgAqD/OkEARABEANR3DwRALR4jAGoxFgFQC5sIgHo9QQBEAAz0pYbKINCjBBAAe9RwdLt3CIig99nPfrbhDlcqlk/Oyqc3KgBKLSJGnnvuue6BBx4wKx0cHHSf//zn3Xnnnddwnxs9EAEQAdATQPEAVJcMAiACIAIgAqCfAB6AhocmHoDqQsEDEA9A/6TAA7DRNxOOg8DGI4AAuPFszogPMoFuEwBl+JLh95prrnHXX3+9JwhKfMAjjjjCEwbf8IY3uKOOOqotlBAAEQARAJ1jC7BzbAFmC7D/JlNgC7C67yIAIgD6JwVbgLVXLFuA2QLclpcWKoXAOiWAALhODcuwINCNBGoFwGde+TmXGjkQR273mI6TNJ3WsU6Gx3SclL6ofpmeyuqYgoWCfnAc9cUAtOL1jCZ1mz+eOFQhLhtx50pGnCjndGyWSszw/DReiAeHdUycfl98PunYQEjHmFksGtkDy5rxlv4ZNbbxQn2swH2TOjZN1Ihrc3T/lKrLisW2Oabjye3J6q/68wXtKZY14vNF85pxaEBHBRo14vrki3qeLGR0u+W8js8U9nmnhLP6mNSE8duMkRSizxiDMU2KxnHFlD6w3KfHH47qdrcYsYiGIjow3KbwgrLtw/MH4npW/zg5r6/FzHz99R41Ynb29+nrei6j60oP6YBvqaQ+d2JWx7ssT2tbR/do7gnjt9icZlxJ6HMLI4YtRnQAvei0EbfSiLOnBIEpI86mDtnojJCNLjxvxKIzYgVGjFhxRig6Zy13Rlg4FzZiJRqXtisacVCzo3rORnzXmTFdnRV3sLKo68obMfAyoxpA2Fif4wkjLqQRBzaxYK0d+q4dM/YsRtJGG9bOAWPABR/3jBGzbTGux1o0YjEa4ThdnxFTNWXEIouHjWvCuC8a4SPdgjEpKil9v0sYMRBLRpzBkhlDuL6+mDGJ5417QsiIAVg07hOpQb2eHmncKxeK+r4TDmn7J42YfcWKnmP7jTh+WWMOHD6gA4ta996pbP2a2mf0wx8nUGZ5zBhDnxEHOB3W63jEOHemrOMT6hnhzBiAcyX97BkN6YXXGttsTt+PNsX1Arro4x424iImjPHnS3qRmTbup4mY7m86pgkM1fRtbn6/+9QXtnuLDjEAu/GNiT5BoH0EEADbx5aaIQABHwEEwCoQBED/xYEAiADonxMIgM4Z76HqvhJHAHQIgMaXAQRAda0gAGqhDAEQARABkNc1CGwsAgiAG8vejBYCHSWAAIgAKATwAMQDEA9APAD9NyM8APEA9BPAAxAPQP+cwANQex3iAdjRVxsah0DPEUAA7DmT0WEI9C4BBEAEQARA59gC7BwCIAIgAmA9gbCxzZotwPp5hy3AbAH2zwq2ALMFuHffjOg5BA4+AQTAg8+cFiGwYQkgACIAIgAiAMocQABEAEQARACsJVAmBqB6NiQGIDEA/ZOCGIAb9hWKgUMgMAIIgIGhpCIIQGA1ArUC4ClXfNUlhjcvnTKjc2q4yNE6mPJRY/tUM9myDpRcKOgQ5fm8/q1cqt+OuW9GJ7coVbRrhpnwwziuaCT3KBkJGtKjOrlH1AhGn4ho4aA/pJM79DsdAHqhqGPdzBq/FQ1XlOnF+thBibR+MH/iyGPKNpWSZjdlBM424nq7SeM4a/twsaQTOcSNpBLbBnRmBCuwedwIZF42AtnPLKT0ePfXM47NGckDjMQO0ZIRFD+pzzXihLvcZu0RkurTQebTYSMselG3MRLV51qM5/N6e1omb1yL03relX2uTX39uk0rGcnerL4+I4abVMZIeFPZZ8R6mjKubZ1TxBWN8PHhRcM+OSNxi5EtoWysAQmdU8VFfSar6KnukjrPjktN6NU4ruP6u5Ixr8OLei6WjOQmCSNZSNxIRmHkynDxrG4jP2gkUDHYZdNG0pMF37lGSDxjSXQVPe2ckT/KFZJGwhcdTs3FjOvJGn/ftDF3DA9A16/bjQ/p9T6+oCdGZEEvNIVS/VphJgGJ6rrKxr0tbMzFhJEFpi+kB5Y0uFtJWjLGubm8ZrIwqOe7da0YS5sz8pG4om9pL1vJXeZ1KIeQkdyhFDfsMGB4bA1oKGUjQUdmQa+7fUbCJCt/UMZ4BioaiWa2bZpWQONGQNL5fD0oK8ZiKqLvO0njOaZY1hMqZ6zjo0aSDeuenTSMPRLTzwA7sweS0VUHPeUbl/yeMBK8RIx1ZquxkE/n+ut4Lub1vShs1L85pRPQ7TUme9w41+Jem6Bkdn6/+9D/e43XL2IArvb2wt8hsL4IIACuL3syGgh0NQEEwMfNgwCoY9ggACIA+hcvBECHAIgAqIUYBEDFBAFQf5BDANSCKgLgga82CIBd/bpE5yDQVgIIgG3FS+UQgEAtAQRABEAhgAegXhfwAMQDEA9APADVyoAHoEKCByAegP5JgQegsQvA8LzEA5B3MghAQAggADIPIACBg0YAARABEAHQOWOHsUMARABEAEQARACsJ8AWYL3NmC3AOvYAAiAC4EF7kaEhCKwDAgiA68CIDAECvUIAARABEAEQAVDmADEA9ZZvBEAEQARABMBaAsQA1BE0iQGoA14SA7BX3oLoJwS6gwACYHfYgV5AYEMQqBUAT3z7V1y8JglI+ASdBOPww8cVl7moDp5crOiv5MmKDpQ+uVAfiFkqX8zUb6fJ7U5rWxhBsq3kFjkjsH95SAfAPnxER+0/Oq3Huq+oH/TKRmTzZEV3cO/8kBrHfEazy2b1A3bZCLzu+ut5HjmmMwocmtDjyhV1EC+L3a75UdXfqaxOsmEFCo8ZQdbTSR0TaUufDgC+L6eTSmxK6rm4P6PnxcwefW5qT/0wIkaw+7IR16yUMjIAhLRIVBzQxyW26v4e27df8Zyc1/M/qi8TVyroYOzzRsKT0Kxh22GjQiMwfjpRb5+hhB5D2AgM+ctZPU9Ki7ofYSMZRzhrMLbyohgB1SvzRnIPI2lHbEYvH6GI0a7exWcmxojn6udAyEjakZzVbSZnjcQLRhIQI2eFM/LROCuZkSVYRvRS7ML9OhqZcYk5a9kpGZlhc0byDedL5hQxbF2yrjtjbc8biZusWV1K65ON4TujWRfP6COtpBrxqG7jkCHtAVVY1Gt7yGBQ8FWXy+lrPWsk/DCWBBc2klRZpkkZyUJiBtDIgmZi5Ipx+YJeFxeN9bNsZGiI6tuC+exV8eEs92k7RI01xhn2Chn9LRlrW9589NDXcXReAy1azx4JIwpgRI/DSmhWHtAGCuW1fSL+9chKFpPQ9orGdN8SUSMzumGd4bgR2y+qr4l0TP9mXce7C/q++Nisfn5KGX2OGffoQ1P6xhD2cbGeWWeNpFpxfxYo59xMRj8XxY1MNocZzzvlmkQrc/MT7hNfvNQjTBKQDfEKxiAhsEQAAZDJAAEIHDQCCICPo0YA1C81CIAIgP6FCAHQOQRAfV0gACIA+tcKBEAjiRQCoHq2RQA8IB4jAB60Vx8agkDXEUAA7DqT0CEIrF8CCIAIgEIAD0B9jeMBiAdg3HB3QgBEAPSvFngA4gHonxN4AOIB6J8TeACu33cpRgaBVgkgALZKkPMhAIGGCSAAIgAiADrHFmDn2AKsl00EQEMYZwuwgoIAiACIAFhPYIQtwGqdQABs+NWEAyGw4QggAG44kzNgCHSOAAIgAiACIAKgzAEEQARAPwFiABpzghiACgoxAIkB6J8UCIBaFEcA7Ny7Di1DoNsJIAB2u4XoHwTWEYFaAfCJn/ici4+NLY0uN2bEsNE5FlzFiKieiOjILpmcTm4xNa4rTMzUB7ZOLBjB/o3wbEbseJcZ1UGsNx8yrSyYjBmRyI1g0gWnH/QTRoKCeSMo1uSkDmztjIj/FSOwdyiteY6N1ifQSCR09oTNCZ2N4JHFETX+hJGg5dE5nfCkUBOwulrJkUYClUOMLAh7y7q+2ZIOnm0F3k9F9NgemxpW44ju1nMs7EMXndXz2siJ4Qq6a66YNrKibjO4D+jkJomQnov7pvX8D+WMZATGPInOGxeeEWT/kC16DlQMBAO+7CjRsO6vlYzivqnNyg6h/doO0QUjgUrC4Nmvr+TBpA7iPrdfZ+2oPKrbHXhI12clASkZto3n9GLvj+1eMRKKpCf0eYN7DTHJqL9s5AmwkmCUDRvG542b04CRGMNIKJCykqoY1ZXMhBRWqo1620aM84xcUa6cMbYYG0krckZikMqwsY4bSVpCRd3fmJWgwhi/td4fM2hkfTHcirNZnRgkV6i/jrOLeg4vGgkFwgN6rImInjwqKYRzLmbYomgkLalkjSQgxrKTNfo3MGpMRuOeOjXXpyhXDPuEfXZM9+vxWwl5+pP6IpvO6UHkSnrehVN6bS/47CWdLy4YCV+S+p5dNDK3xNK6f5l5XV80ZSUB0RdG1McuUtA2tJ7ZnJFAxnrUTSZ0P4bj2hbFsm63bMw7K1pplxgAACAASURBVMFN0XiYs9glrAQvhi2SfdqOxw7XJ0ibyusb/vSUnpslww7GsFzRSOaWMpKjpWqSwCwsjrsbvvYyDztJQNbRixZDgUADBBAAG4DEIRCAQDAEEAAf54gAqB/qEQD1NYYAqJkgAGrhAAFQ5gkCoP9qQQDUqjUCIAKg/zpBAEQADOYNh1og0DsEEAB7x1b0FAI9TwABEAFQCOABqC9lPADxAMQDUF8XeABq9yQ8ALWwhwcgHoD+1QMPQH1PxQOw51+jGAAEAiGAABgIRiqBAAQaIYAAiACIAChpkBEA2QKsPfkQABEA/QTYAqznBFuA2QKsvfjYAuxnwhbgRt5KOAYCG5MAAuDGtDujhkBHCCAAIgAiACIAyhxAAEQA9N+EjFCrDg9APAD98wQBEAEQAbCeADEAO/JKQ6MQ6FkCCIA9azo6DoHeI1ArAD7h65908c0HkoCkjCDjUyEdKLkU0l96k0YSkL0zOuFBZZ8O5B/3BYGP6Z00zgxYPaoDUadTOr7O1r764M9itX0FI0GHEdi85PRYBww3ocdmdYKK4px+SehPZtWkSTq9TeT4gXF1XDRaf1xRx453iYhm8t29x6m64kaCiqFYRh1XNNKCbu3XSVVCRkD9iBG0f8alVRu/mD4wB6t/rExrdvFpQ7CZ1658+f7646wEGFYCmULKSFoxqifjpmGdoKLsi38m46gYkcKnJ/X449M6sLsxFV3ECKgfHdPz/bjh/YrxbD6pfgv5wOyf133Ll/T8L8xq21g8rfGXEobrpZHIYCis5+L0Y3otiuzR7NKP6DaiOf1bKGrMp0UjgYbPjpW4brPPSAIyvE/fH+JGP8J6SXBGHH+Xs5KWGPPfpY0kKMN6HscLhi2MhCRFYw0sRYw56zvOwOvKxppQyhmJYRb1bwt6CruskUAmbFwnMSNxU9pIolQx5nvMqG9LWs/PuJVrKKPvd36voJJR/3jOOM+4d0RC2tb5kk54ETXGbyVtmJ/XkPv69QQtGErxaFInQipa2RKM8eaNBCr+JDJHJ/V9fM66j1s8i3pcReOZZTC+qC7akpG5ZsZIINFn3HsnC0a7BruZnF5T++I6kUW0pK+7uC/5RiWvHwxixg1lwUhQE4vrdWLQSKpybErfY8oGp10ZnYBs0UgWkk7q6ylkzB3r9jE5M6RsNpLUz0GHp2fqjpsybPPofv3Mmo3pa6xiJCMp5/V1FzPGOlCTLGZxcdzd+PULvX6RBKT33qfoMQRaIYAA2Ao9zoUABJoigAD4OC4EQP2mjwCIAOhfTBAAnQsjAGpRBAFQf1RBANQfkBAAjY9q+pENARABEAGwqVcZDoZAzxNAAOx5EzIACPQOAQRABEAhgAegvmbxAMQDMI4HoBYs8ABUTPAA1OsnHoDa6wwPQDwA/VcKHoC9875ETyHQTgIIgO2kS90QgEAdAQRABEAEQOfYAuwcW4DZAqxd+/QNky3A2rUPARAB0E+ALcA6XARbgI0QMmwB5q0MAhBw3jO4FaEINhCAAASCJ4AAiACIAIgAKHMAARABEAGwngAxAIkB6L8miAGo48wSA1B/QiQGYPDvK9QIgfVMAAFwPVuXsUGgywjUCoDH3vppF9t6IAHDUWkd2Hl/UQdFnsr3qVHtn9bbB11ev2BH5/QXUf8vYSNIdnxQb68ZSujg5EYYJjeQ0PFlFko6UHYyZmzhKepxLeZ1wO7StA7aHkroOHtb0zpQesiIqH6ckVUg7As8/VhRB7+eNGwzM6df6jaldSKLw1OTyq5FwxZWoPC5kB5/xvht94Luc9lI7pCc0pYsGEkQInkjuYPv2byU0IPI9Rvx/lL6oX5s06xikjLmST6kg7OHjMDrj03pZDGx3XouVoxo55UBPZ8G0/oaGEto2ybDOrj7QqHeZo/u130LzRnjymqemRHNsxI3/CytZDETuo2S4aMZ3q3Xjui4IeIZcydsJLeIGkkwUjNGBqJYff/KCd3fgd16oR/Zq3+LW/0wEnlYSUDyRt6iSFkzTpR08oBQn244rA9zxYoeW8Hp4PZlKwagb5mJ6qqclSyoYtwTslk9n2aN+nLGtV3R3XUxY95Zv8WLut3IoL7G+gf0b31On5s0EjKECvX3j7yR2GEhqweRNxIPRPu0EQvGFK7EjDkRM+aEkYyj31jvFozjLFcGK5+XdZ+NGok7tsbr75VxI9GSYWqXNSbAvNOTJ28kUBmM6SQg6ZCRBKWs69udN+5tRvKVhJFsK2Nss5/L62ePYkY/eyV8CUT0Ec4lInqdmMo0Jvb2xbQAOBbV95g+Y0HJG5weK+kezhkZzUYies5uNn4rGMk8jk7qZ5nx/GDdgpwz5tN+Y16XjfEvGuOaXtD2ShvPAAM1c2JhYdx97SsXef0iBmCXvSzRHQi0mQACYJsBUz0EIHCAAALg4ywQABEA/etCEQFQLZUIgM45BEA1LxAAEQD9kwIBEAHQPycQAPVHAQRA3sggAAEhgADIPIAABA4aAQRABEAhgAcgHoB4AOo5gAcgHoD+mzEegNozHg9APAD91wkegHgAHrQXGRqCwDoggAC4DozIECDQKwQQABEAEQCdYwuwcwiACIDKC5YtwOpWjgCIAOifFAW2AKvrBAEQAbBX3oPoJwS6gQACYDdYgT5AYIMQQABEAEQARACUOYAAiACIAFhPgBiAOqoeMQCJAehfJ4gBqD1AiQG4QV6iGCYEAiKAABgQSKqBAARWJ1ArAB75vc+56LYDSUAOS02rCorGl+6f79mqjgtN6xeHipUDwEgMUkrXHzgwogNxb0vq5Bn75uuDOkunymWdFCAZ18Gk54xEHtGoFgQWF43kHsZxlZJuN2wE3h5N67FlsjqpyCF9OkZfyhfIfSKnvziXjX5kszrJxIiRGGUoofsWNwJgW8lHSiGdoGF8WtsnaSR8iC5q7vEZHaA+P2RlFdBzPlypt0V+k56IWw6ZUifOG8kORtLz6riJguY+V9TzpGgE9y/n9BjCOc0uNKS9boaTRjKCiD7OzFqZTalxZObr+5zcYyTj0FPHGUN1xTF9jY0N6mt2ekH3I/SIDkZf0UN1ZeO38KRx3WmTuWhOzzFjajvj0nbF0fo2CkbCk+ii7sfmR29XzLf95Inqt+jkJvVbJab7WzYSIblhPY9jIc09ouP4u/LkqGp3pqyv2ULJyqqhr7ukbxobITVdVE91F9bx+t20kc1p36CxPg8YSWD00un6c/q4fuMGFY/rk0NbZ/T9botODhSP65QXSeM+k5ipT6wVmdCx4wqL+sLLGElAFkf0RZEb0mMolfX1WSpqY5QnNut1wjf/5YB5nRvMhfYZibWM6yKS1pNxuF8n6or7EmgMGRdsMqKZxyL63rFozOFiWY8/ETJsGNLsdme1zfYZCTqSRrKtI0d/pRjPGkmkikW9Lmam9VoR8c2ntHGNlY0kIzl9y3J9o3ruDBuJUaz1ZLikbTiR05mLFoznMSupRsq4Zx1q2DthLE/WXNnnm7RFp+fJlJH0LGc8Kw0k9Bq7P6cvirkF/dtQTcKbzMK4+xZJQFZ/ceEICKxDAgiA69CoDAkC3UoAAfBxyyAA6od1BED9JoEAqFcyBEAtRCEAOocAiADoXy2SCIBqAUUA1IIqAiBZgLv1nYl+QaBdBBAA20WWeiEAAUUAARABUAjgAYgHIB6A+gaBByAegP5ZgQegdovCAxAPQP91ggcgHoC8ckEAAo0TQABsnBVHQgACLRJ4+OGH3THHHOPVcujX3u+imw9sA9ua1FudrC3AO8cPUb0IzTa2BThc0C8TZd9esfSw9k7bktBbUyYW9PYSawtwwthysmBszYoYb/+ZjN6eG4poD6CKsfU47NvCJNCG+/TYsjndxqaU3o6bjNZ7mEzm9XZKa/w5YwvwUEJvHRuM677Fonq71t6SFgmsLcCTM9o+iSm9zTSSMbYAzxpbgAfXtgW4MKK3AI+N6rm+4HT9w33aDpPFPjX/54vahqWSscUub2wBzhtbgAe0l8SgYbO+iD6uXNH1zeb0drLsQn2fk+MNbgHWQ3WlUd2P0X59zc4s6n6EHtN70SrGllXrt9C0sQXY2AIazRtee3r3tL0FeLi+jeKQriuS0f0Y23OXmiebf36C+i06PaJ+M7cA92vGbkiHbYg6DcDYKe7K08Oq3bmyvmYLZWOPnfGT3wMwaYWAsLYA6yG4WWML8ES//jHTb2wB1pes6zNCT6SNLcAxY7tjaLPe7hca07/F4nrNSub1ttj4XD3j8KQWDooZfV7W2AKcGdIXSn5AAyhVGtsCXJk8EBKkOjmyvvkvvxu3Xhea0JMiYVwXkT594Q2m9f0o5rt/Dkb1eQljS2g0rO2QMeZwydgCHDe2AFvbgvcZ2z0njC2rCeM+ftjwbn3/sLYAl/S6mJ3Ra0XEN59SxjVWcfo6MR47XMp49hqK6eeCsLE+DxkxGiZz+l65aGyVzxihZpLGPWuLYe+48VgwGNNzZWKhPnRHyekFasbaAhw3Qm/EdZyJqbxeO+cXdbiQwZotwNnFSXf7zW/05sNDDz3kjj766Baf8DkdAhDoFQIIgL1iKfoJgXVA4O6773ann376OhgJQ4AABCAAAQhAAAIQgEBvE9ixY4c77bTTensQ9B4CEGiYAAJgw6g4EAIQaJUAAmCrBDkfAhCAAAQgAAEIQAACwRBAAAyGI7VAoFcIIAD2iqXoJwTWAYFsNuvuvfdebyTFYtE99alP9f6/PHxs27ZtHYyw94awe/fuJa9M7NBZ+2GLzvKvbR1bdIctsEN32EF6gS26wxbYoTvs0OvXhDyDj4+PezCf9KQnuWRSh8joHtL0BAIQCJIAAmCQNKkLAhBomEBtQpBHHnnEHX744Q2fy4HBEcAOwbFstSZs0SrB4M7HFsGxbKUm7NAKvWDPxRbB8lxrbdhhreSCPw9bBM+UGiEAgfYTQABsP2NagAAEDAI8OHXHtMAO3WEH6QW2wBbdQ6A7esI10R12YH3CDt1DoHt6wvrUPbagJxCAQOMEEAAbZ8WREIBAgAR4cAoQZgtVYYcW4AV8KrYIGGgL1WGLFuAFeCp2CBBmi1VhixYBBnQ6dggIZADVYIsAIFIFBCBw0AkgAB505DQIAQgIAR6cumMeYIfusAPXRPfYAVt0jy1Yn7BF9xDojp5wTXSHHbhPdI8d6AkEINAcAQTA5nhxNAQgEBABHmIDAtliNdihRYABno4tAoTZYlXYokWAAZ2OHQICGUA12CIAiAFUgR0CgBhQFdgiIJBUAwEIHFQCCIAHFTeNQQACVQI8OHXHXMAO3WEH6QW2wBbdQ6A7esI10R12YH3CDt1DoHt6wvrUPbagJxCAQOMEEAAbZ8WREIBAgAR4cAoQZgtVYYcW4AV8KrYIGGgL1WGLFuAFeCp2CBBmi1VhixYBBnQ6dggIZADVYIsAIFIFBCBw0AkgAB505DQIAQgIAR6cumMeYIfusAPXRPfYAVt0jy1Yn7BF9xDojp5wTXSHHbhPdI8d6AkEINAcAQTA5nhxNAQgAAEIQAACEIAABCAAAQhAAAIQgAAEeooAAmBPmYvOQgACEIAABCAAAQhAAAIQgAAEIAABCECgOQIIgM3x4mgIQAACEIAABCAAAQhAAAIQgAAEIAABCPQUAQTAnjIXnYUABCAAAQhAAAIQgAAEIAABCEAAAhCAQHMEEACb48XREIAABCAAAQhAAAIQgAAEIAABCEAAAhDoKQIIgD1lLjoLAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHmCCAANseLoyEAAQhAAAIQgAAEIAABCEAAAhCAAAQg0FMEEAB7ylx0FgIQgAAEIAABCEAAAhCAAAQgAAEIQAACzRFAAGyOF0dDAAIQgAAEIAABCEAAAhCAAAQgAAEIQKCnCCAA9pS56CwEIAABCEAAAhCAAAQgAAEIQAACEIAABJojgADYHC+OhgAEIAABCEAAAhCAAAQgAAEIQAACEIBATxFAAOwpc9FZCKwPArt27XIf/OAH3U033eTk/ycSCXf88ce7F7/4xe41r3mN6+vrWx8D7cAo/uu//sv927/9m/vP//xP9z//8z9u3759LhaLuUMPPdQ99alPda961avc0572tIZ7JnV9/OMfdzt27HDj4+PukEMOcaeffrrbvn27e+5zn9twPRx4gMBf/uVfun/4h39Y+uHWW291Z5111oqIsEMwM2hiYsJde+217utf/7r7xS9+4aamptymTZvcEUcc4Z7+9Ke7F77whe53f/d3sUUwuM1a8vm8u+6669z111/vfvzjH7vJyUlvjTrssMPcGWec4a0tv/M7v7NqD7gmbESy5st6Lf/uvvtu79/+/fu9g//4j//YfeYzn1mVbe0BQXBeXFx011xzjWfznTt3OpkDcs39/u//vvuzP/szd+SRRzbVp145OAhbZLNZ961vfct9+9vf9mz6wAMPuLm5OTcwMOBOOOEEd84557g//dM/ddu2bWsIy0a0RRB2WA6u8HziE5/oHnroIe+Qo446yj388MOr2mIj2mFVKBwAAQgcFAIIgAcFM41AAAJVAiL6vfzlL3czMzMmFHmgvfnmm92xxx4LtCYJnHnmme6OO+5Y9aw/+qM/cp/85CddPB5f9thKpeIuu+wyT/xbrsiL+kc/+lEXCoVWbZMDHicggsepp57qisXiEpKVBEDsENzMEfHh1a9+9ZIYYtX8B3/wB+5f/uVfzEaxReu2eOSRRzzR5957712xsj//8z93//iP/2iuLdhhZTustB43IwAGxVmEdrH5fffdZ3Z8aGjIfeELX3Dnnntu6xOsy2po1RY/+clP3O/93u95gt9KRcRAuafLR9SVyka1Rat2WInpm9/8Zm+tqpZGBMCNaocuuzzpDgQ2LAEEwA1regYOgYNPQMQP8UKTL5/9/f3uiiuucM94xjNcJpNxX/rSl9wnPvEJr1Mnnnii57Ugx1AaJyBelPJgKd5+L3rRizxPP/GsKJVK7vvf/773kProo496Fb70pS/1XrqWK29961vdlVde6f35yU9+shOvteOOO86r/6qrrnL//d//7f1NjnvnO9/ZeCc38JHlctnzbJK5vXnzZs87U8pKAiB2CGbCfO5zn3MXX3yxExsIexEC5cV6dHTU7dmzx5vX3/jGN5yIESIUWgVbtGYLEb1/67d+a0n8O/nkk91f/MVfeF5MInB897vf9daohYUFryFZZy6//HLVKHZY2Q61Yod42Z100knulltu8U5qRgAMgvP8/Lw77bTT3P/+7/967V966aXuwgsvdKlUylv33v3udzs5Rrz+5R4lc2I9lVZtIddE1WNfvGPPO+887wOSeC2LR/4NN9zgCX9yj49EIt4a9rznPc9EuJFt0aodlpuT8hwk81s8mOWfrGOrCYAb2Q7r6dpmLBDoZQIIgL1sPfoOgR4jIGLfbbfd5qLRqOep5t9qJ9siRWiS8va3v9397d/+bY+NsLPdlZeDiy66yJ1//vney4C/yPZHeYm4//77vT+JDaztwLJFS14a5YVdXjbkOHlhqxYRcMXb8Ic//KFnS3m5E3GQsjKB97///U48m0Tg/sM//EPv5VfKcgIgdghmRv385z/3ROxcLufN96rQZ9UuWxMtz1hs0botvvrVr7oLLrjAq0jWfglT4F+n7rnnHu9vhULBjYyMeCK5rDHVgh1Wt8Pb3vY2T5SQf1u2bPG2Ix5zzDHeiY0KgEFx/ru/+zvvXi7FEnRF9JOt93KvkeeD73znO6sPsIeOaNUWd955p/vABz7gpJ4nPOEJ5sglnIHcT8RjU+7DskXY8njbyLZo1Q4WeBFdn/KUpzhZs97xjne4T33qU+6Xv/zlqgLgRrZDD126dBUC65oAAuC6Ni+Dg0D3EBCvJ4kdJ0Xi1cjWUX8R7xyJpSIv7PLyt3fvXu+rKiU4At/85jfd85//fK9Cib0kLxf+8trXvtZ9+MMf9n6WFzQrHtddd921JOC+7nWvc1dffXVwnVyHNcnWR3mBk6//IviJEF59MV5OAMQOwUyEZz/72e4//uM/3NjYmLe2yP82W7BFs8T08eLt98///M/eH2688caldch/pMRh/NrXvub9LFuF5Z5QLdiheTusRQAMgrOIuOJtOz097X1Qkpi04XBYDUBCTXzsYx/zfpePSr/927/d/CB75Iy12KKRoYmwLgK7FIkDLB88agu2qKcYhB3+6Z/+yb3pTW/yPJhlq/av//qvryoAYodGZjPHQAAC7SaAANhuwtQPAQh4BGq3E4l4JF9OrfKe97zH2xosRbYtPec5z4FggAREgJJ4QVIkLpMIgrVFvAhk25hsFRZPNRFMlivyd4nrdPjhh3vJXIgFuLyhRHQV1lUPnFovAEsAxA7BTHrxThXxQYowF0+QZgu2aJaYfbx8KJBEEFJEDPqN3/gN80DZ9vu+973P+1utIIQd1maHZsWOoDj/+7//uzv77LO9Tst9/S1veYs5gNqPSX/1V3/l3vWud61toD1wVrO2aHRIcl3J9SVFQhhUPW2r52OLepKt2kE8/WT9knAF4rUq3qtHH330qgIgdmh0RnMcBCDQTgIIgO2kS90QgMASAdnmI1u+0um05xFQu62rFpN4nEmcQCmyBbjqJQXKYAhIxk2JHyRFRCnxxKktDz744NJ23uU8NavHy9+rSULkvOo2s2B6un5q+fKXv+xe8pKXePHmRJCSTMqrCYDYIRj7//3f//1SKIGf/vSnS9voJPuvbIkXm1Svh+VaxBbB2EIyv7/hDW/wKmvEA1A+KMi9YnBw0DsHO6zNDs2KHUFxlvu3XH9SlvMkl7/J9t/h4WFPTJHnhNtvv31tA+2Bs5q1RaNDqnqjyfHiCShetLUFW9STbNUO8vFUktVJQjWJLyulEQEQOzQ6ozkOAhBoJwEEwHbSpW4IQGCJgIge8sL9m7/5m+5HP/rRsmTkxVxeyqVIIgsRTyjBEZCtddWXA/G0kbhMtUWyNEssQSmyXe+Nb3zjso3L32VbnxQ5bz1mcWyVfHX7mySakCQ3l1xyiVflagIgdmiV/OPnV1/UJLmHrC2S+EbmvGzZqhYRrsUzU7ZzWYmHsEUwtpCkBZKoaHZ21otFKkKPPwagBNWXkAMSi9GfqAg7rM0OzYodQXGW+/dXvvIVr9Ny7YnIt1yR5wK5JuU5oZocaW2j7e6zmrVFo6OR7OXVj3m1Hzqq52OLepKt2EES1snaJGFq5IOebHOX0ogAiB0andEcBwEItJMAAmA76VI3BCDgEchms0tJJKxtp35M8hIu3gDyIiieA5RgCEiMRQmwv2PHDq9CicsoST5qi8RmlAypUqytRLXHysudPNBKkfPEI5BST2D79u2e8CderZLRsbpNejUBEDsEM5NE3JOXPREYJOtvdQuqVbvEmvvWt77lZdHmmgiGv78W+QDx8pe/3Mv8LnHK5AODxM6S0ATf+973vCzAkknzlFNOcf/6r//qtm7dulQF18TabNKs2BEUZ7l//+AHP/C8/sW+KxX56CTCY/V5IZFIrG2wXX5Ws7ZoZDg//vGPvbiJkpRCtqXK9np/wRb1RNZqBxGyJaSExKeWuJVyf6+WRgRA7NDIjOYYCECg3QQQANtNmPohAAEnnh/Vr6SyFVK+oK5UJHOheAHIC7kEgacEQ0Bert/85jd7lUnWwBtuuEFVXJuJWV7An/vc5y7buPy96vUnMbvEg4pygIAIfrKlTbycJDD7k570pKU/riYAYodgZpJ4/onHmQgKkgVYvJAkHpl4wcrWUllfZFuWzGUpItRKqILaZAXYIhhbVGv52c9+5mTL4rXXXutlLq0tsvZLrDh5sRbhqLZgh7XZoVmxIyjOIkaJrcWm4gG9UpHngqq3v+wUWG1b/tpIdP6sZm2xWo9lTZMPGxIrU4pkBH7BC16gTsMW9UjWagfx4Jdsv/IhVT5Y1MY9bkQAxA6rzWj+DgEIHAwCCIAHgzJtQGCDE5AMqEceeaRHoTZmynJY5Fg557jjjnM7d+7c4PSCGb5st5NsqBJvScRY2W4lL2b+UhszTTKnPvOZz1y2AxL8+lnPepb3dznvr//6r4Pp7DqoRbYwiheTJFGxtlqvJgBih2AmgcQaFc8YKSLEiijrz2otnrHigVQVAf2er9giGFtILZIFU+K6ilfscls9TzvtNC9Zi3iL1xbssDY7NCt2BMVZ7t8ST1CSSkmSqJXKRRdd5K677jrvELn3S2Kp9ViatcVqDC699FL3yU9+0jusmmDKOgdb1FNZix3uuOMOd9ZZZ3n3kXvuucedfPLJdZU2IgBih9VmNH+HAAQOBgEEwINBmTYgsMEJ4AHY2QkgMYGe9rSneXGYxBNKtjmeeeaZZqeC8v7o7Ig733pV4BMxW7xg/N5MqwmA2CEYG1bDCUhtF154ofviF79oVizXiHgcSxHvQAmkXy3YIhhbSFgH8RiWF2l5iRaP4Ysvvtgde+yxXpgI2S76jne8Y2mrvMQYrSYNkR5gh7XZoVmxIyjOeDtpezVri5Us/u53v9tJ1mQpsgVYPvL57zPV87FFawKgeFpKGIn77rvPW7eqWcpra21EAMQOa1vDOAsCEAiWAAJgsDypDQIQMAgQA7Bz0+Khhx7ytgg99thj3ku3eDfJ9t/lSlDxnzo34s63LIHB5WVBvACX25K1mgCIHYKx47Zt25a2H372s5914mm0XBGvo0cffVR5LGGLYGwh4QckDIGUz3zmM57Hkr+Ih/LZZ5/tbr31Vm8btiQFqXraYIe12aFZ0SkozsQ7a58AKPHnLrvsMq+BE044wQtbIAlUlivYojUBsJq9V7xZ5YOelSyqEQEQO6xtDeMsCEAgWAIIgMHypDYIQGAZAmQBPvhTQ0Q/8fyTbVgSq0ZeulcSQKSH3/zmN93zn/98r7NkAV6bzSQZysc//nHPs+ld73qXWYkkEXv3xAAAD25JREFUUKl6mf3N3/yNe8ITnuAdJ+zFiwM7rI29/6zTTz/dS3YjZbUt7RLX6a677vK8ZOWjRbVgi9ZtIbH+xsbG3OTkpJf0QzxplisSW0s+WkiRJCGyDrE2rd0GzQqAQc33Cy64YGmNIwvw4/Zr1haW1cWL+RWveIWT0AVHHXWU5zG72pZpbFFPslk7yD1BPuiJx7J8oLDK61//eifxK2Wdu/rqq71DJNxKbRgV7LD2dYwzIQCB4AggAAbHkpogAIEVCEgyBPlKLeLG9PS0k9hcVpGsvxKIX4p8dZV4UZTmCciDqGzzla/VUj70oQ+51772tatWJGKhxKmRIkKWeIMsV6pCl/xdzpOMqxTnXvnKVzrxNltLEY9N8STADmuhp8+RFzYRvqXccsst7jnPec6yFVfFQn/WUmzRui0kCYR4Y0pZLRFUrce4JCGqxmbEDmuzQ7NiR1Ccq15T0mu5r/tjb1ZHI16fkpxHtojLc4JsZV2vpVlb+DnceOON7vzzz/di+cr1JM9U1fv1SsywRT2dZu1Qm+yjmbkpz2C33Xbb0inYoRl6HAsBCLSLAAJgu8hSLwQgUEdAYtVIzBop4mXzlKc8xSQkGTqvuOIK728Sq265r63gXZ7AzMyM99VZMs9KEaaSWbORIp464k0g3oMnnniil8RiuXLSSSc52e562GGHeYHb1/qQ3Ei/eumYIARA7BCMxT/96U+7P/mTP/Eq+8hHPrK0bc6qXTw39u/frzzUsEXrtpAPEtUtiiJgiAfscmVubs7L0CxFkrN84xvf8P4/dlibHZoVO4LiLIL7Oeecs+o9SJ4HxPtWitz7r7zyyrUNtAfOatYWtUMSD2ZJjCPx6CRLsgilElOukYIt6ik1a4e1Ptv4BUDs0Mhs5RgIQKDdBBAA202Y+iEAAY/Ajh07lkS/5TzLZEuLBOIX0Uk8AiRLZCwWg2ATBBYXFz3RVLbRSXnrW9/q3vnOdzZRg3Ovec1rPLFEynKeG7UvbXL8Nddc01QbG/3g1WIACh/s0PosEUFPPGUk+6x4/8kLmFXkZVoyPEp51atetZRZs3ostmjNFrK2j4yMuNnZWXfooYe6X/7yl8t6gdduQZVtdR/84AeXGscOzduhWbEjqLVHtkzKFkj5ICUfiyTRjiWkSCw7iWlXfU6QLNDrtazFFsLizjvv9O7r4iUp4vh3vvMdL/FHowVb1JNaqx1W4t1IDEDs0OiM5TgIQKCdBBAA20mXuiEAgToC1W3Asv1XMkFWv/pXD6rNPvi2t73NiUhCaZyAPFxKDLmqyCEZNN///vc3XsH/HXn//fd7ngWyzejUU0/1bJVKpZbqyWQy3latH/7wh95LvGwz/rVf+7Wm29nIJzQiAGKHYGZIrWgk8bMkG3BtEY8zmc8/+tGPlhUhsEXrtnjZy162lIVZ5r+s8f4iseIk/l81dIHfCxw7NG+HtYgdQXGu3fJ41VVXucsvv7xuAPKBSa49udf4vaWaH2n3n7EWW8i69IxnPMMLnSLhCeSaOOOMM5oeLLY4gGwtdlgNeCMCoNSBHVYjyd8hAIF2E0AAbDdh6ocABJYISEZHeXAVAUmyqMm2YHmwlf/+0pe+5CVOkCJB4kVcGhgYgF4TBGRr3Q033OCdIVuARfxbaetKPB73WFtFtmLJ1mEpT37yk70txBJr6Be/+IV773vf62XnlLLet2w1gb+pQxsRAKt8sUNTaNXB4+PjnpC9a9cuT7AWj6MXvvCFnifNvffe681n2cou5dWvfrX78Ic/zDXRGnLzbGEsXkvipSxFPlZIJmBJliNx/8SrWNYssZOUZz3rWe7b3/62qou1aWXjSFKInTt3Lh0k26+rwpvcfy+55JK6CiRkQbvuASKuy7UngqKU7du3ewK8fFCSTM+y3Xd+ft77b/FyO+WUU9ow8zpXZau2kPutxESW3RBSJCHOs5/97BUHJF6X8s9fNrItWrVDIzOoUQFwI9uhEY4cAwEItJ8AAmD7GdMCBCBQQ0DiOUkGO9kKZhURpG666SZ3/PHHw61JAs3GqZEMgvIl3CqyZe/SSy9111577bK9kK2SItqGw+Eme8rhjQqA2CGYuSJhBV7wghfUCSP+miVWoCS9WS7sALZo3RYi6L30pS/1smWuVOQDhsQJlG3D/oIdVrZDszFIJeZfO+8BIkaee+657oEHHjDbESH+85//vBfvcb2VVm0hCYwkkVEzZaXdExvVFq3aoRH+jQqAUtdGtUMjHDkGAhBoPwEEwPYzpgUIQMBHQOI/feADH/CEvl/96ldOPNFE8HvRi17kXve617m+vj6YrYFAkAJgtfmbb77ZE/nuvvtu76VdEiVIjCaJ4/i85z1vDb3kFCHQqACIHYKbLxI/S2JbirAkYoR4HomnjHhFyXwWb+RGCtdEI5SWP0biMn7qU5/ysvtKXLhqVvitW7d6a4tsFRaxdrX1DDvYjIMWO4LgLNeexIm9/vrrPfFDwlUcccQRnjAooSrkY9R6LK3aImgBUBhvRFu0aodG5mYzAuBGtUMjHDkGAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoPwEEwPYzpgUIQAACEIAABCAAAQhAAAIQgAAEIAABCHSMAAJgx9DTMAQgAAEIQAACEIAABCAAAQhAAAIQgAAE2k8AAbD9jGkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIdI4AA2DH0NAwBCEAAAhCAAAQgAAEIQAACEIAABCAAgfYTQABsP2NagAAEIAABCEAAAhCAAAQgAAEIQAACEIBAxwggAHYMPQ1DAAIQgAAEIAABCEAAAhCAAAQgAAEIQKD9BBAA28+YFiAAAQhAAAIQgAAEIAABCEAAAhCAAAQg0DECCIAdQ0/DEIAABCAAAQhAAAIQgAAEIAABCEAAAhBoP4H/D3szASHAd6uxAAAAAElFTkSuQmCC\" width=\"640\">"
          ],
          "text/plain": [
           "<IPython.core.display.HTML object>"
          ]
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "source": [
        "show_vol_orientation(volume, vec, z=33) "
       ]
      },
      {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
        "## And again for a rotated sample\n",
        "The same analysis as above, but for the sample rotated such that layers are in $xz$-plane."
       ]
      },
      {
       "cell_type": "code",
       "execution_count": 8,
       "metadata": {},
       "outputs": [],
       "source": [
        "volume = np.transpose(volume, (1, 0, 2))\n",
        "S = st.structure_tensor_3d(volume, sigma, rho)\n",
        "val, vec = st.eig_special_3d(S)"
       ]
      },
      {
       "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_device_pixel_ratio', {\n",
           "                device_pixel_ratio: fig.ratio,\n",
           "            });\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",
           "    rubberband_canvas.addEventListener(\n",
           "        'dblclick',\n",
           "        on_mouse_event_closure('dblclick')\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",
           "    fig.rubberband_canvas.style.cursor = msg['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",
           "            var img = evt.data;\n",
           "            if (img.type !== 'image/png') {\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",
           "                img.type = 'image/png';\n",
           "            }\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",
           "                img\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 https://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",
           " * https://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.key === this._key) {\n",
           "            return;\n",
           "        } else {\n",
           "            this._key = event.key;\n",
           "        }\n",
           "    }\n",
           "    if (name === 'key_release') {\n",
           "        this._key = null;\n",
           "    }\n",
           "\n",
           "    var value = '';\n",
           "    if (event.ctrlKey && event.key !== 'Control') {\n",
           "        value += 'ctrl+';\n",
           "    }\n",
           "    else if (event.altKey && event.key !== 'Alt') {\n",
           "        value += 'alt+';\n",
           "    }\n",
           "    else if (event.shiftKey && event.key !== 'Shift') {\n",
           "        value += 'shift+';\n",
           "    }\n",
           "\n",
           "    value += 'k' + event.key;\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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
           "\n",
           "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
           "    ws.readyState = comm.kernel.ws.readyState;\n",
           "    function updateReadyState(_event) {\n",
           "        if (comm.kernel.ws) {\n",
           "            ws.readyState = comm.kernel.ws.readyState;\n",
           "        } else {\n",
           "            ws.readyState = 3; // Closed state.\n",
           "        }\n",
           "    }\n",
           "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
           "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
           "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
           "        var data = msg['content']['data'];\n",
           "        if (data['blob'] !== undefined) {\n",
           "            data = {\n",
           "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
           "            };\n",
           "        }\n",
           "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
           "        ws.onmessage(data);\n",
           "    });\n",
           "    return ws;\n",
           "};\n",
           "\n",
           "mpl.mpl_figure_comm = function (comm, msg) {\n",
           "    // This is the function which gets called when the mpl process\n",
           "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
           "\n",
           "    var id = msg.content.data.id;\n",
           "    // Get hold of the div created by the display call when the Comm\n",
           "    // socket was opened in Python.\n",
           "    var element = document.getElementById(id);\n",
           "    var ws_proxy = comm_websocket_adapter(comm);\n",
           "\n",
           "    function ondownload(figure, _format) {\n",
           "        window.open(figure.canvas.toDataURL());\n",
           "    }\n",
           "\n",
           "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
           "\n",
           "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
           "    // web socket which is closed, not our websocket->open comm proxy.\n",
           "    ws_proxy.onopen();\n",
           "\n",
           "    fig.parent_element = element;\n",
           "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
           "    if (!fig.cell_info) {\n",
           "        console.error('Failed to find cell for figure', id, fig);\n",
           "        return;\n",
           "    }\n",
           "    fig.cell_info[0].output_area.element.on(\n",
           "        'cleared',\n",
           "        { fig: fig },\n",
           "        fig._remove_fig_handler\n",
           "    );\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
           "    var width = fig.canvas.width / fig.ratio;\n",
           "    fig.cell_info[0].output_area.element.off(\n",
           "        'cleared',\n",
           "        fig._remove_fig_handler\n",
           "    );\n",
           "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
           "\n",
           "    // Update the output cell to use the data from the current canvas.\n",
           "    fig.push_to_output();\n",
           "    var dataURL = fig.canvas.toDataURL();\n",
           "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
           "    // the notebook keyboard shortcuts fail.\n",
           "    IPython.keyboard_manager.enable();\n",
           "    fig.parent_element.innerHTML =\n",
           "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
           "    fig.close_ws(fig, msg);\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
           "    fig.send_message('closing', msg);\n",
           "    // fig.ws.close()\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
           "    // Turn the data on the canvas into data in the output cell.\n",
           "    var width = this.canvas.width / this.ratio;\n",
           "    var dataURL = this.canvas.toDataURL();\n",
           "    this.cell_info[1]['text/html'] =\n",
           "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.updated_canvas_event = function () {\n",
           "    // Tell IPython that the notebook contents must change.\n",
           "    IPython.notebook.set_dirty(true);\n",
           "    this.send_message('ack', {});\n",
           "    var fig = this;\n",
           "    // Wait a second, then push the new image to the DOM so\n",
           "    // that it is saved nicely (might be nice to debounce this).\n",
           "    setTimeout(function () {\n",
           "        fig.push_to_output();\n",
           "    }, 1000);\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._init_toolbar = function () {\n",
           "    var fig = this;\n",
           "\n",
           "    var toolbar = document.createElement('div');\n",
           "    toolbar.classList = 'btn-toolbar';\n",
           "    this.root.appendChild(toolbar);\n",
           "\n",
           "    function on_click_closure(name) {\n",
           "        return function (_event) {\n",
           "            return fig.toolbar_button_onclick(name);\n",
           "        };\n",
           "    }\n",
           "\n",
           "    function on_mouseover_closure(tooltip) {\n",
           "        return function (event) {\n",
           "            if (!event.currentTarget.disabled) {\n",
           "                return fig.toolbar_button_onmouseover(tooltip);\n",
           "            }\n",
           "        };\n",
           "    }\n",
           "\n",
           "    fig.buttons = {};\n",
           "    var buttonGroup = document.createElement('div');\n",
           "    buttonGroup.classList = 'btn-group';\n",
           "    var button;\n",
           "    for (var toolbar_ind in mpl.toolbar_items) {\n",
           "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
           "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
           "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
           "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
           "\n",
           "        if (!name) {\n",
           "            /* Instead of a spacer, we start a new button group. */\n",
           "            if (buttonGroup.hasChildNodes()) {\n",
           "                toolbar.appendChild(buttonGroup);\n",
           "            }\n",
           "            buttonGroup = document.createElement('div');\n",
           "            buttonGroup.classList = 'btn-group';\n",
           "            continue;\n",
           "        }\n",
           "\n",
           "        button = fig.buttons[name] = document.createElement('button');\n",
           "        button.classList = 'btn btn-default';\n",
           "        button.href = '#';\n",
           "        button.title = name;\n",
           "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
           "        button.addEventListener('click', on_click_closure(method_name));\n",
           "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
           "        buttonGroup.appendChild(button);\n",
           "    }\n",
           "\n",