From 6b06535397ca4bdab95bf82ab23a0eb01ef9cce0 Mon Sep 17 00:00:00 2001 From: Kauser Zulfiqar Date: Tue, 29 Oct 2024 17:25:17 +0100 Subject: [PATCH 1/4] ringdown_analysis with toy problem notebook --- dev/A_DMI_1d.ipynb | 1571 ++++++++++++++++++++++++ micromagneticdata/ringdown_analysis.py | 287 +++++ 2 files changed, 1858 insertions(+) create mode 100644 dev/A_DMI_1d.ipynb create mode 100644 micromagneticdata/ringdown_analysis.py diff --git a/dev/A_DMI_1d.ipynb b/dev/A_DMI_1d.ipynb new file mode 100644 index 0000000..161f6c8 --- /dev/null +++ b/dev/A_DMI_1d.ipynb @@ -0,0 +1,1571 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "e4f7b657-acce-40eb-a6db-a0833f07ef82", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import oommfc as oc\n", + "import discretisedfield as df\n", + "import micromagneticmodel as mm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "78096ed4-a557-49fc-9906-2c7bfb3841c8", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "region = df.Region(p1=(0, 0, 0), p2=(100e-9, 1e-9, 1e-9))\n", + "subregions = {\n", + " 'left': df.Region(p1=(0, 0, 0), p2=(1e-9, 1e-9, 1e-9)),\n", + " 'right': df.Region(p1=(99e-9, 0, 0), p2=(100e-9, 1e-9, 1e-9)),\n", + " 'center': df.Region(p1=(1e-9, 0, 0), p2=(99e-9, 1e-9, 1e-9)),\n", + "}\n", + "mesh = df.Mesh(region=region, cell=(1e-9, 1e-9, 1e-9), subregions=subregions)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "727cd58c-a5f8-4e54-be06-33bd214c0f86", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mesh.mpl.subregions(show_region=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "83e01f5f-4777-42a5-bc2b-4ec8877e62fd", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "6.983084430004653e-08" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import math\n", + "Ms = 3.84e5\n", + "A = 8.78e-12\n", + "D = 1.58e-3\n", + "Ld = 4*math.pi*(A/D)\n", + "Ld" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ac4989fd-7cc5-49db-bea3-87c68689921e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "def m_init(p):\n", + " x, y, z = p\n", + " k = 2*math.pi/70e-9\n", + " mx = math.cos(k*x)\n", + " my = math.sin(k*x)\n", + " return 0, mx, my" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c5f3bacf-dba5-41dd-8a97-a95aafb1e7ff", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "system = mm.System(name='toy_problem')\n", + "\n", + "system.energy = (mm.Exchange(A=8.78e-12) \n", + " + mm.DMI(D=D, crystalclass=\"T\")\n", + " # + mm.UniaxialAnisotropy(K=0.5e6, u=(1,0,0))\n", + " # + mm.Zeeman(H=(0, 0, 0.2/mm.consts.mu0))\n", + " # + mm.Demag()\n", + " )\n", + " \n", + "system.dynamics = mm.Precession(gamma0=mm.consts.gamma0) + mm.Damping(alpha=1e-1)\n", + "m = {'left': (0,0,1), 'center': m_init, 'right':(0,0,1)}\n", + "system.m = df.Field(mesh, nvdim=3, value=m, norm=3.84e5, valid='norm') " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ea0268e4-0cf1-4ec5-bc7d-e84744ceffa4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "system.m.orientation.sel('z').resample(n=(5,1)).mpl()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "481b3ef6-1675-4f46-9c14-f63b872c8f47", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running OOMMF (ExeOOMMFRunner)[2024/10/29 16:57]... (0.5 s)\n" + ] + } + ], + "source": [ + "md = oc.MinDriver()\n", + "md.drive(system, fixed_subregions=['left', 'right'])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a613573a-4c56-49c1-953b-12860eee2f7c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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K+6NGjcLKlSvRo0cPODg4SK6ciIiIiCow9rQbJC0tDYMHD8atW7cgiiLMzc1hZWUFuVyOixcv4q+//sLvv/+On376SfJoGklhv1evXkhMTESXLl3QuXNn1KhRAzKZTK+cIAj46KOPJDWMiIiIiIwbZ+MxzNq1a3Hz5k2MGjUKgwYNQs2aNbXr7ty5gy1btuDnn3/GTz/9hODgYEl1SJpnPywsDB9//DEUCkXhOxcE3LhxQ1LDiIiIiMi41dk8r8zrvDfs8zKvs7QEBgaiefPm+PbbbwssM2XKFERHR2P//v2S6pDUs7906VIIgoB3330XPj4+BU7+T0RERESVGIfxGCQuLg5jxowptEyrVq1w7NgxyXVICvv379/HmDFjMGHCBMkVExEREVEFxxt0DWJqaoqsrKxCy6jVagiC9L+zpKk3bW1t4ebmJrlSIiIiIqr4OPWmYTw8PHDy5MlCy4SFhcHDw0NyHZLCfs+ePQ26nFAUkZGRCAwMRP369XH79u0ibRMREYEhQ4bAz88PzZo1Q1BQECIjI0u1nURERESvLLEcXpVIr169cOrUKUyYMAFnz55FYmIiMjIykJCQgD/++APBwcE4ffo0+vbtK7kOSTfoJicn49tvv0V6ejoGDBgANze3AqcD8vLyKnajtm7dirlz58LW1hYJCQk4ePAgPD09C93m4sWLGD58OFq3bo0RI0ZApVJh1apVuHXrFvbu3Qt3d/dit4OIiIiIClbnxwVlXue9Mf9X5nWWFpVKhQkTJiAsLCzfoTqiKKJnz55YuHCh5KE8ksJ+gwYNilShIAi4fv16sfYdERGB0aNHY8aMGXj06BFWrlxZpLA/dOhQPHz4EEeOHNF+8UhOTkanTp3Qs2fPQu9yJiIiIqLiq/NDOYT9oMoT9nMdOXIEhw8fxu3bt7UP1fL29kbPnj3RoUMHg/YtKewPHTq0yGW3bNlSrH1HR0dre+PPnDkDhUKB119/HZ9//jn8/f3z3SY1NRWtWrUqcJ8WFha4cuVKsdpBRERERIWrs2Zhmdd5L/jTl5aJjIzE4sWLcfHiRSiVSjRu3BgTJ04sMEsaup0xkzQbT3EDfHFYWFhg+vTpqFu3LgICAnDgwAFYWVlh5MiR2Lp1K3x9ffW2iY6OBgDUqFEDy5cv11n3888/43//+x8ePXqE1157rdTaTURERPTKMcIx9A8ePMDgwYNRt25dLFy4EBYWFti0aVOhWdKQ7UqCSqXCzZs3kZCQgPT0dNja2sLFxQVeXl4GzcQDSAz7pWnVqlVQqVRYu3Yttm7dCgD48ssvERwcjCVLlmDjxo162yQlJQEArK2t0bhxY511Fy9e1JZh2CciIiIqQUYY9p/Pkg4ODgCA5s2bIyAgoMAsach2htqwYQPWrFmDtLQ0vXWOjo6YMGECBg4cKHn/ksN+cnIyTp06hfj4+EKfpDt+/Pgi71MURYSGhqJJkyaYOnUqzpw5A0AT9ps0aYKjR48iLS0N1apV09kuOzsbAJCTk4OgoCCdSy8+Pj4A8NI5TAFA/di7yG1Ny1Bi2EdPEHY6E62aWeD9/jYYNrAqmnR4iMibeX+PT4Jt8TBWiV37M3S2b+wjw9XrhT+B2BDmVYAczZ8FbrXMsGFfdWxeJ8e21SlQqzXLR0xywPCPHXD2rApfvH9Xu+0Px+vBtZY5Fn4ej1O7EgAA3s1sMH17I6SqrPBJkxNQKTRn97sz66HtIDeE/5aKHf93SbuP6ee6wdzKDBs+vIg7px9r9tGpBnovboP4JBNs6bxDW7bL/A6o07EWLmy9jctLNcfc1NIM/Y6NBAAc/mAv0qKeAABqvt0YPpM7Iv5mBi6PWa/dx+uLB6NqIzfcXvcHnuz8Q/M3cLVDgx/GIytHhjvBi6FMfAoAcHz3LTi+2xFplx/iccg67T7clkyBzMUBCav3ICP8gmYfXrXhOm0chGxT3J8wFVCpAAAOg/qhavvWkJ+5goT//le7j9pzvoVJlSqI/2E95FGap0db+zTGa0NGACmZuLXgK23ZGu+OQNUGTZD6xynEH9sLABBk5mg4eS4A4O6GJch88lBTX+M2cOv0DhSPHyPyl/nafXj3GQ9rVw88PnMQj//WzJBlXtURjft/AbNsEZf2hSBHnqr5/V4PgHvjAGTE3MQ/p9dq99E84HNYWDvi1vkdiI/R/N7V7GvDt/WHMMtS4cTx6RBFze9dr35vuLm1QkLMZfwTnXcM33pjOkxNzXHln81IfHoTAOBi1wC+XgOhykhH2I3F2rJ+tfqjerUGuB//JyITNG0WYIou3pNgIpji7L1NSMuJ15Y3FczgVKU24rOKNitXcZjCDCoodZaZQQZbwQlJ4iOd5W+a9cRd5XXEIe9caSK0gYvgBoU6GwrkQIAAGcxhJsgktUctqmEiPDdJmiBAFEWcF4+hpdBZ27sjmJrikvIUksRH6GDWFzJBc5/SLfVV3FVd07TX/G1YmVRFvPgQf2ef0u7S36I7zAULhGfu0am7qWUX/JMVDoWo+15Z1dQR6aokSb9PUZgIZlCLSu2/RVGECJVOmeaNx8DU1Bz/RP8CuTwRAGBh4YDWbTSX8s+cmYfsLM35Xcu7C2p7d0VK+p18/59HX9mFhDsRAAAbpzpo1FXzGRXxy+cQ1Zp6a73RH84N2iAx5hLuh+ad341HzYGprApuH1qP9Hua+9GqeTZG7f98gBzIEbUs7/x27zsC1eo1QeLlU3hyeC8Azfldb5rm/L63fgmyYzXndzX/1nDp8w4yU+MROz/v/H5t/HhYeNRB0pGDSDscBgAwc3KA2+xpAICYr0KgStb83rZvd4Ft7y7IuXsr3/e15PW7kBameY+2qF8Ttb4dDQC4OWgWRKXmQ8FtXHc4dm+OzLNXcPO7vCd1+u+bBFMLc9yauQMJf94DALi080TTb3rCIusp9gVu0pZt811XuHXwwMP//YU/F2neT8wszTDi1HsAgP3Df0P89RQAgHdnN/Re1Bo59xOwvHfe1IOm5iZ4473aeBaXjitHNce7ipUpsuW6/y9KkswcUOToLx822hqb1+l+fs8OqQYrKwGfTn6qXTZooCWWLLLDqbAcDBymOV8aN5Lh5BEXAMA/f6vQvvtjWFoIuP+PGywtTSATTBH7SAnP5g9x6YQbGtbTnMcmECCXqxEWnon/BFhr6zAVij6BoonrzSKXNZRgZPPs52bJNm3aaAM7AJibmyMgIABbtmzJN0tK3c5Q27Ztw7x582Bubo42bdqgevXqsLGxQXp6Oh48eIBLly7h66+/hpmZGfr37y+pDklh//z58wgODoZcLkdhQ/4FQShW2I+Li0N6ejr++usvNGzYUGcYT2hoKNRqNaKjo9GiRQud7SwsLABoLr/Y2trqXHrJHXJkaWlZpDZcupqNK9ez0aaFBep55s0wFHpKjieJKrzX1waCIMDaygQKhYgMuYiw8Ex8P98JANCjixUib+a9AfQIsMSDGP2wP6CPFa5ef4oXyWRAId+diu65w/IoRom328QiKxOoYiEgOytvpSJHxLlQ/W+SRKUlv/cMESqcvvsj6jq01gY/AJCZWEChziqVoA8AtiZOSFY/1lnmaFID9nDWCfvWqAYroSqchNcQJ2rCvglM4IjqAIBMPMMFaMKKPzrBBrYAAKWoRCzuwAVusBTyPrSfiU+RggS4oa5OuE9ALKqJDjplM5CGNKTgKZJgB837jEpUIlmMhwgRSeJjuAq1NNurY7XbJapjUcukARJUMTq/X4IqBuaChd7fIlYRrRf0ASBdlVzg3684BAgQn3tjEgRTiKIKgmCifb+q4eSLuq91QPSjMDxOuKyzfVVrVzg7v47790+USHuo/Fk5VMl3+aDFTdGggytOr/wHgCbsK7LVsLI1Q8fhNRH20wNkPtME/yqWJsjOVBvclvyCPgAcO6x/ThwLzYKllW7ADT2WDbVaxKGjeeWvXlMgJlYJdzcz/H5UDgDIzBJx8o9sBHbRZJKDoZrlB47ItWEfAMLCM7Frf4ZO2FcqRazfloZmTaqgpV/eOVxQbikzRtazn5slvb31O3C9vb0LzJJStzPU1q1bUadOHWzatAnVq1fXWx8TE4NRo0Zh48aNZRv2Fy1ahOzsbPTu3Ru+vr7asG2o3OE4APSG8YwYMQIpKSk6ZXI5OWk+AEVRhLu7O2bNmoXExETUqlULZmZmyMnJgbOz80vrz8pSo//IR7gfo4R/0yo4c8AdgiBg5/5nGBSkCQR37inw1WTNN76eXa1xKCwTDbxl8Kyj6cnrEWCFxas1Id7ezgStW1jAp54aJibQ9qibmQEfDLHB2o3PEBun21PR5o0qOHk6uzh/tnzlPPfGpVYDWZn//vDc+9OJA+k4+MtTPHmk31uiUol48vDlV0OIClJQR0D04zCYCKZ4/hNCgAmylGm4/uSwTlmFumT+D5rABGroBwJ3WT0kZ+uGfWdTN9iLToh8rrizSQ0AgCOqa/dlDxeYCpq30KqwhxlkMIEJrJHX6/MXTiINKbiNf9BO/A9kgjmeiWk4h1CIEJGCBDRBa235BDxCNrJQC3kfNonQfOlIEONgJ2je65LFeKj/7f1OVMfC1aQWMsUMPBNT8/aljkVNsR4SlXlfAIB/wz70Q1aS8pHeMo2S+SR/PuibCGboUH8C7idF4E7CGZ1yVcyroo57e72wT68OK1v9wGphY4qvj7WGhbUZzu6M1Yb97Ew1bOzMUN/PAhdPPCvxtsQ+1P98PPNHDmQy3bCfmKjGX3/l4HCo7nvWkdAsjBxug9+PZmqX/X40My/s//sl4MBROT4db6ctczBUjkNhciiVIszMNHV9NDUB67amQRCA07+6oXULywJzS1kSjCzs5+ZEe3t7vXW5y/LLklK3M9TDhw8xderUfIM+ALi7u2Po0KGY/9xVv+KSFPZv3LiBIUOGYOrUqZIrzk/ucJy6devqXEKRyWRo1qwZjh07hpSUFL3t6tWrp/23h4cHhgwZgrS0NGzfvl37QK6ifCGRZ4pIe6b5hE9MVkGhAMzNgfRneZ/66Rl5/+7RxQoTpgE9u1ppl73RvAoc7E2QnKJGt06WMDMT4OhgilYtquBshOb3e7NVFdjZmiKwqwXWb8rr8W9Q3wx937bUC/v29gJSUkrmbMrOzNvPvZv5X0I4tT8VJ/c/xcOb+l861CoRotrIzmwySinP7iPx6S3Ymeq+gWUqUnHpwU4Izz3TT8wniJckJ1N3JKrioH5uyI6FYAMXk1owhyVyoPkgFiDAyaQGZGozVIU90qF5v3ESNE8MNxXMYC+6IAmP4SzU0O5LEAQ4i69BgInOB23uECE11NrfUQ2VNvgqn2uPWlQjCY+R80LYTxDjAACJiIM3mugsA4BE8RFEUY1Edd4yAEhRP0GS+jEU0D2Pn6lTIEA/DKhQOsMKGzp3QabyKe6nXNT+DQRBgLmZFbyrv4WEZ7eRnvn4JXuhV51lNTNYWOtHlkZtquHj7+sh8UaSXti3sDKBqSmQka7+92cBWXLDP78UCkCh0N/P1u1yxL3QeXYoNAuBAZa4fFXx3LJMiKIIeaYax8M1Xw7OXcxGYpIKTo6mEEURB0PlSE5R48+LWWjbSvPFIDd/iCKQ8e/vUVBuKVOicQ3jyfm3tzO/5z/JZJqO2fyGdkvdzlA2NjaoUiX/q1y5LCwsDBo+JOkJujKZDA0bNpRcaUHS09MBaG5GeFHuN578wn7udpaWlggKCkLz5s3RsWNHzJo1S1umKFNvOtibYv0SF0wKssW6xdVhbq75Dzz0napYONMRn423w1ef5H0JqelmBt9G5vhP17zLbGZmArp10pyYz38JyP0WDwDdu2r+3a2r7heQwK4WCOis/6UkMKAKatTQP1TVq0s6fC/138VP8PBmNqyqmWqXZWWocGZ/Iub0ioA6n2GTKkXphjUybgnJNyCKuv8HVGoFLt3cirO3179QWnNeGR7w8/+AqWbmpLfMxbw2HE11b9B3MXWHiYkJnE3dtMtsBWfIBM2brtO/vfkymMNOyHtPyg35TtDdnxNeg/MLy5qgDV5DbTRFW+3QmWqCPV5HK7jBAz5ori37FElQIAcpSIBS1ASDHDEbT6HpScpAOuTiM4iiqBPsFchBqpiEBFG3B1+EGjGq6Hz/RmIJ9dbLTPLe12xkTqhhrf+5UMXMBvWdO8LTpV2++xCKMQ6Z6EX1mleFhbWp3vLugx2w7lQ9tO/+3Jh303/veSmlbBoaqj8W6PQf2dh/UK6zLO6xCn9fUyDsdCay/h1Wq1YDh8I05S5dzUHcY80H7W9H8rZd+o0Txo2wxbolLujcTnPuFZRbypSRPUE3Nzjndz9pbqDPb2i31O0M1aZNG1y4cKHQMhcuXEC7dvm/hxaFpHfZhg0b4uHDh5IrLUhuj9izZ89w9epVPHmiuSnz1q1bSEzUjNtTq9XYu3cvfHx8EB4eDiDvsopCocBHH32EM2fO4Pjx4xg3bpz24F27dq1IbegdaINFs5zRoU3eAZXJBHwSbI/vvnRCVRvdP9nwgVXxRgvdb2Q9u1rBzAzo+lbePnp01Q/7bVtXgfVz4/66dbGAa3VT+Pnq3twXEGCJTp31v/W91bF0v77L0/JS/cOoTKyZchtP7srx/GdzVoYSJ/8bgwNz8//7KrP5JaAySUm5DZVK/43wWvQu/HlpJVKfPdAuM/l3iEuW4sV7U0omaNqY6V9qtTSphurmdfWWO5u5w9nUXW8ZADib5IX954O/NtQLNXQCqRNeQ1XYwULI+zIPAA5wgT10hwtaC1XRSGgJR8FVZ7mrUBMNheY6+6gCS/iiDZqiHVS5Q3SgO7QmEXFIRyqykamz/In6IZLFJ3q/d4paf5kUwgsfFTZmmk4PlTrvqoG1zA5NnAPxRs38n8NiZlp4zxVRSeo72gnV7HWvBMifqdGltw02Hq0Fs+c+Zk1LaF7CxET9z7vsbOCX/2XqLf/9aCYOhuouzx3ScyhMDs86ZrCzNcH5S3nnmIuTGVZ+54wPBlXTuYKYX24pS4K67F+FyR22nZysf79RbpbMb2i31O0MNW3aNERFRWHOnDm4c+eOzrrY2FgsWrQId+/exWeffSa5DkkP1bpw4QI+/vhjbNiwQWcIjaEuXLiAwYMHF1pm8uTJcHZ2xrRp0/Djjz+iffv22u0++OADXLt2DVevXoWpqSlat24NhUKBEydOYNKkSRg3blyJtZWIiIjoVee5aPHLC5Ww21MmF7r+jTfegJ+fH9asWaOz/Ouvv8auXbtw7tw5WFtbl9h2hujatSsyMzO1HddmZmawsrJCdna2dnh7tWrVYGKi2+kiCIJ21sqXkfR99vr162jVqhX69u2LN954Ax4eHvmOcRIEAf/3f0V/pHFuL7yZmRlOnDih/QYll8vRvn17pKenw8PDAwEBAejXr592u9yhPdevX9d54JdKpUKXLl0AAHXq1Cn270lEREREBXtZT3t56NatG/bs2YOEhASdLHnkyBG0b9++wMAudTtDvDhSRqFQ4OlT3SviL/5cXJJ69hs0aADh3/mfC925IODGjRtF3u/jx4/RoUMHWFhYwMvLCxMmTIBMJsOPP/6ICxcuQKFQYPv27VAoFBgxYgRmzpyJgQMHarcTBAFjxoxBmzZtIJfLsW3bNu1Qn+3bt6Np06bF/VWJiIiIqABe85eUeZ23Pvuk0PXx8fF4++234e7urpMlr1y5gp07d8LLywsRERE6WbKo21VEknr2v/vuu5JuBwDA1dUV9vb28Pb2hrW1NSZPngxRFOHn54eOHTvi+PHjqFevHv755x+oVCqo/53L0tXVFXZ2dnBwcMDhw4exYcMGyGQy+Pj4oH379jh79myJDjciIiIiIuPs2a9evTq2bduGBQsW6GTJzZs3awO7KIo6WbKo21VEknr2S9PMmTOxZ88eHDt2TOcSSpcuXeDn54dVq1aV6HZEREREJI33d2Xfs39zWuE9+xVRTEwMEhISoFQqCyzTsmVLSfsuUtj//PPP8c033+Q7Lr+ocnJyMH36dMybN6/Qcrz0QkRERFQx1JtT9mE/+ovKE/Zv376NSZMm4datWy8tW5yh8c8r0jCeo0ePIjIyErNnz4avr2+xK7l8+TJmzJiB2NjYl5blpRciIiKiCsIIh/FUJCEhIbh58yY8PDzQsGHDlz5gS4oi9exfv34dH374IeLj49GuXTuMHj0aLVq00JsG6HlqtRrnz5/HunXrEB4eDldXV6xatapUHsZliMjISCxevBgXL16EUqlE48aNMXHiRPj7+5d30ygfZ86cwYoVK3D9+nVUqVIFXl5eGDt2LDp06KAtw2NaMZw/fx5Dhw5Fy5YtdWbR4vEzfnK5HMuXL8fBgweRmpqKmjVrYtiwYdorrYDmkvSiRYtw5swZyOVyeHt7Izg4GAEBAeXYclKr1di9eze2b9+Oe/fuQaFQwNPTE++99x4GDBigLcfz0LhERkZi0qRJuHv3Lg4ePAhPT0+99UU5XqVxXtb/pux79qOmV56e/VatWqFjx46YO3duqdVRpJ59Hx8f/PrrrwgJCcGvv/6K06dPw9raGq1atYKHhwccHR1hY2ODZ8+eISkpCXfv3sW5c+eQkZEBURTRu3dvfPHFF7C1tS21X0SKBw8eYPDgwahbty4WLlwICwsLbNq0CSNHjsTWrVslXcWg0hMWFoZx48ahffv2WLFiBURRxMaNGxEUFISlS5eie/fuPKYVRO6wvhf7Gnj8jJ9arUZwcDCuXbuGTz/9FJ6entizZw9mzJgBc3Nz9O3bF0+fPsX7778PS0tLzJo1C46Ojti9ezcmTpyI5cuXM/CXo4ULF2L9+vUYPHgwpkyZApVKhf379+Orr75CamoqxowZw/PQyGzduhVz584tMEMV9XiV2nlpVHd+VkxvvPFGqe6/2DfoXrt2DVu2bMHp06e1DwAAoDcVp6OjI9q3b4+hQ4fCx8en5FpcgqZOnYpDhw4hLCwMDg6aJ0Lm5OQgICAAderUwcaNG8u3gaSjV69eyMnJwW+//QaZTPP4w8zMTLz11lvw9PTEtm3beEwriKVLl2LHjh147bXXYGVlpe3Z5/Ezfr/99humTJmi/YKda/jw4ahduzZmz56NFStW4Pvvv8f+/fvh7e0NQDP8cuDAgUhNTcWRI0fKq/mvvBYtWsDLywvbt2/XLhNFEV27doW1tTX27dvH89CIREREYPTo0ZgxYwYePXqElStX6vXsF/V4ldZ52WBW2ffsR86sPD37H330EWrXrm3QE3JfpthTbzZq1Eh7qSEyMhJ3795FcnIy0tPTUbVqVTg4OMDDwwMNGjQo8caWJFEUERoaijZt2mhPDgAwNzdHQEAAtmzZgrS0NFSrVq0cW0m5RFHEuHHj4ODgoA36AGBpaYnatWvj8ePHPKYVRHR0NNatW4dZs2Zh79692uU8fhXD3r174erqisDAQJ3lmzZt0v776NGjqF+/vjZQAJoOoZ49e2LOnDmIiopC/fr1y6zNlMfc3BxWVlY6ywRBgI2NDURR5HloZOzs7LB9+3b4+PhgxYoVeuuLc7xK7bxkz75BPvvsM3zwwQeoWbMm+vfvb9BkOAWRNM9+rgYNGhh9qC9IXFwc0tPTdf7T5/L29oZarUZ0dDRatGhRDq2jFwmCgB49eugtVygUuH//Pho2bMhjWgGo1WrMmDEDTZs2Rf/+/XXCPo9fxXDlyhW0bdsWgiDku16pVOLOnTt6XwYAaI/tjRs3GPbLyQcffIDFixdj165d6NmzJ0RRxL59+xAZGYk5c+bwPDQyL3tGUFGPl5+fX6mdl8Y4z35FUrNmTfznP//B7NmzERISAkdHR51OzVyCICA0NFRSHQaF/YosdwiSvb293rrcZc8PUyLjtGLFCqSmpuL999/nMa0Afv75Z1y7dg379u3TW8fjZ/zS0tKQlpYGV1dXbN26FZs3b0ZsbCxcXFwwZMgQDB8+HGlpaVAoFIUex+Tk5LJuOv1rzJgxsLKywtdff40vv/wSgOYK6bx589C7d2/8/fffAHgeVhRFfd8s1fOSPfsGmTdvHjZv3qydafLJkyclXscrG/ZzcnIAIN/LJbnfqLKyssq0TVQ827dvxw8//IB+/fohICAAFy5cAMBjaqweP36MRYsWISgoCHXr1tVbz3PS+MnlcgDA4cOHUbNmTXzxxRcwNzfHb7/9hnnz5iExMRFDhw4FwONorE6ePIl58+ahe/fu6N27NxQKBfbu3YsZM2bA3t5eO8SHx69iKOr7ZnZ2dpHKScGefcMcOHAAnp6eCAkJgY+Pj/EN46nIcucxVSgUeutyTx5LS8sybRMV3cqVK7FixQr06tUL33zzDQAeU2M3a9YsuLi4YOzYsfmu5/EzfqampgA0x2jt2rWwsLAAALRu3RpPnjzBpk2bMHr0aG2ZF/E4lq+cnBx8+eWXaNq0KRYsWKBd3rFjR/Tv3x+zZ8/GkiWamy15/CqGor5vlur7K3v2DZKeno6PP/4Yfn5+pVZHwRPlV3LOzs4A8r9slZiYqFOGjMvMmTOxYsUKjB49GgsWLICZmeY7K4+p8Tp8+DCOHz+OadOmQaFQICMjAxkZGVCpVFCpVMjIyICjoyMAHj9jZmdnB1NTUzRq1Egb9HO9+eabUCqViIqKgrm5OY+jEbp37x4SEhLQrl07vXX+/v54+PAhz8MKpqife7a2tqV2Xgpi2b8qk7p162qvmpYWST37Dx48QK1atUq6LWXK1dUV9vb2iIqK0lsXFRUFmUz20htjqOwtWbIEv/zyC7788ksMGzZMZx2PqfE6fvw4RFFEUFBQvuubNWuG8ePH8/gZOZlMBi8vr3wDg0qlAqDpafT29i7wOAKaWd2o7OUO01AqlXrrcnt8BUHgeViBFPVzz9TUtPTOSw7jMcjEiRPx3XffITAwENWrVy+VOiSF/YCAALzxxht499130bVr13zvGq4IunXrhj179iAhIUH7jVYul+PIkSNo3749rK2ty7mF9LzQ0FCsWbMGn376qV7Qz8VjapyCg4Pxzjvv6C0PCQkBAHz11VeoUaMGEhMTefyMXI8ePbBs2TLcvHlTZwaQkydPwtLSEg0aNEBgYCAWLVqEyMhI7YxtarUa+/fvR4MGDeDh4VFezX+leXl5wcLCAn/88QeCg4N11kVERMDZ2Rmurq58H61ginq8Suu8rGw97WXt4cOH8PHxQdeuXfHmm2/Czc0t33H7giDg//7v/yTVUeyHagHAoEGDcPnyZQiCAFtbW/Tp0wcDBgzQe3yzsYuPj8fbb78Nd3d3TJgwATKZDD/++COuXLmCnTt3wsvLq7ybSP9SKpUIDAyEKIpYsmRJvtP+1a9fHykpKTymFUjuzZy5D9XiOWn8nj17hv79+yMrKwtTp06FnZ0dfv31V+zevRsTJkzA+PHjIZfL0adPH4iiiE8//VQ7V/iRI0ewbt06tG7durx/jVdW7v1Offr00U69uWfPHvz++++YOXMm3n//fZ6HRiQmJgYpKSkAgB07dmDHjh1Yvnw5atSoAaB4n3uldV42/rTsH6p1dWHleahWgwYN9B5Mmx9BEHDjxg1JdUgK+wAQGxuL/fv348CBA7h58yYEQYCfnx8GDhyIwMBAvfGcxur27dtYsGABIiIiIIoi/Pz8MHnyZDRu3Li8m0bPiYmJQefOnQstc+zYMbi7u/OYViAvhn2A52RFkJCQgIULF+LkyZN49uwZPDw8MGzYMAwYMEBbJj4+HvPnz0d4eDgyMzPh4+OD8ePHo23btuXYcgKAnTt3YuvWrbhz5w4EQYC3tzdGjhyp8ywTnofGYerUqdizZ0+B64v7uVca52XjKeUQ9hdVnrBf2PF9Ud++fSXVITnsPy8qKgr79+/HwYMHERcXh6pVq6JXr14YMGAAGjZsaOjuiYiIiMgINZ5cDmF/ceUJ+2WhRML+886dO4elS5fi8uXLAIDmzZtjzJgx6NChQ0lWQ0RERETlrMknZR/2/15SOcP+3bt3cefOHWRmZsLa2hpeXl6oWbOmwfstsXn24+PjtcN6cscU+fn54fbt2wgODkavXr3w7bffVtibeYmIiIhIF2/QNdyZM2cQEhKCu3fv6q3z8fHBrFmz8Prrr0vev0FhX61WIywsDLt27UJ4eDiUSiWqVauGoUOHYtCgQfD09ERmZiaWL1+ODRs2wMHBAVOnTjWkSiIiIiIyFpx60yB///03goKCIIoimjVrBk9PT1haWkIulyM6Ohp///03hg8fjp07d+b79PmikBT279+/j127dmHPnj1ISkqCKIpo0qQJBg0ahJ49e2qf1AZonsj2+eefIykpCfv27WPYJyIiIqok2LNvmB9++AF2dnb46aef8n2Gxd9//40xY8ZgzZo1mD9/vqQ6JIX9bt26QRAEWFpaYsCAAXjvvfdeeiNuu3btsH//fkmNJCIiIiLjI7Bn3yCXLl3C+++/X+DD6nI704sza8+LJIX9+vXrY9CgQXj77beL/HCNpk2bYuHChVKqIyIiIiJjxJ59gzx9+hTu7u6FlvHw8Mj3yeVFJSns79u3r9jbuLu7v/SXISIiIqKKg8N4DFO1alU8evSo0DJPnjyBjY2N5DpMJG9JRERERK82dTm8KhFfX1/s2LED8fHx+a5/9OgRtm3bhqZNm0quo8Sm3iQiIiKiVwt79g0zevRoDB8+HN27d0fXrl3h6ekJKysryOVyREVFISwsDAqFAsHBwZLrYNgnIioB169fx+DBg9GlSxcsWLCgzOs/deoUgoODMWbMGHzySeV84AwRGR9BzbRviBYtWmDhwoWYNWuWdpi8IAjIfeati4sLvvnmG/j6+kquo8SfoEtE9Kp5+vQpevfujapVq2LXrl060w+XpVWrVmHZsmVYtmwZAgMDy6UNRPRqaTFqcZnXeWH95DKvs7Tl5OTg/PnzuHXrFuRyOaytreHt7Y2WLVvCzMywvnmGfSIiA3322WfYt28ffv75ZzRr1qzc2qFSqdC3b1/Ex8fj999/h4ODQ7m1hYheDS1Hln3YP/9T5Qv7+VEoFJDJZAbvhzfoEhEZ4Nq1a9i3bx/atm1brkEfAExNTTFlyhSkpqZizZo15doWIno1COqyf1U24eHh6NWrF6Kjo3WW7927F4GBgTh79qxB+2fYJ6JX0oULF9CwYUO89957ePEC565du1C/fn18/vnnL93Pli1bAGhusnre7t27Ub9+fWzcuBHnz5/H0KFD0bx5c+0DUiIiInTKDx06FPXr10dycjLmzZuHdu3aoUmTJujVqxeOHTsGANi/fz969+4NX19fdOrUCSEhIVAoFDr7ad++Pdzc3LBz507I5fJi/12IiIpFLIdXJXL58mWMHTsWd+/e1Xs/d3JywuPHjzF69Gj8888/kutg2CeiV1KLFi0watQo/PXXX9i2bZt2eWJiIubPnw83NzdMnz690H2IoohTp07B2toaLVu2zLfMlStXMHHiRPj7+2P69OkYNGgQrl69irFjxyIxMVGvfEhICO7du4ePP/4Yo0aN0v77p59+wooVK9CvXz9MmzYNVapUwZYtW7Bp0yad7QVBQNu2bSGXy3HixIni/2GIiIqBPfuG+f777+Hm5oajR4+iUaNGOus6duyI0NBQ1KxZE0uXLpVcB2fjIaJX1sSJExEeHo7Fixejc+fOcHV1RUhICNLT07Fq1aqXPsQkMjISSUlJ6NSpU4E3UB06dAh79uxBgwYNAAB9+vTB06dPsXfvXpw6dQr9+vXTKZ+WloZ169Zpf05KSsIvv/yCFStW4OjRo3BycgKQ9yTz48eP611VaNu2LX755RdcuHABPXr0KPbfhYioqCry1JsqlQo//PAD9uzZg7i4ODg6OqJHjx74+OOPYWFhUeB2586dw7Bhwwpcf+3atSLfVPvXX39h0qRJeO211/Jd7+TkhPfeew/Lly8v0v7yw7BPRK8sc3NzLFiwAP3798fXX3+Nd999F7///juCg4PRokWLl25/9+5dAJpHmRekdevW2qCfy9fXF3v37s33ISoDBgzQ+blhw4YAgE6dOmmDPgD4+PgAABISEvT2UbduXQBATEzMS38HIiKDVOB5XkJCQrBjxw6MHz8e/v7+uHnzJubPn4979+5h9erVL91+1qxZer3xAIo1e45arYadnV2hZWxtbaFSqYq8T732SN6SiKgS8Pb2xpQpUzBnzhycO3cOjRo1wvjx44u0bUpKCgDA0dGxwDJ16tTRW5bbY6RUKvXWubm56fycO41nQcvz20fuLDzJyckFtouIqCRU1GE1Dx8+xM8//4yRI0di3LhxAIDmzZtDrVZj1qxZuHDhwks7fTw8PNC4cWOD2uHh4YE//vgDvXr1KrDM4cOHUbNmTcl1cMw+Eb3y+vTpgypVqkAul6Nv375FnuosLS0NAFC1atUCyxR3zn1zc/N8lxdn+rXc9qSnpxerbiKi4qqoY/aPHTsGURT1QnbPnj0hCAJCQ0NLpqKX6NOnD/bu3YsZM2bg0qVLSE5OxrNnzxAbG4uwsDCMHTsWJ06cQN++fSXXwZ59InrlzZ49G0qlEp6enli+fDm6dOlS4PjJ51WrVg2A8YXq3PYU9iWEiKgkVNSe/aioKAiCAE9PT53ltra2cHFxwY0bN8qkHUOGDMHFixexY8cO7Ny5U2+9KIro0qULhg8fLrkOhn0ieqUdPHgQv/32G4KCgtCnTx/06dMHn332GTZt2gQTk8Ivftrb2wPQ3ERrTHLbw4dqEVGpq6Bj9pOSkmBjY5Pv1VR7e/siDYP8/fffMX/+fNy5cwcymQytW7fG5MmTUbt27SK3w8TEBMuWLcPJkydx4MABREdHIyMjAzY2NvD09ESPHj3QqVOnYv1uL2LYJ6JXVnx8PGbNmgVPT09MmDAB5ubmGD9+PBYvXoz169djzJgxhW6fe2Nu7o26xiK3Pe7u7uXcEiKq7IxtNh6FQoEHDx4UWqZq1arIzs4udNjk06dPX1pXZGQkgoKC4OzsjL///hvff/89Ll26hAMHDhT7ymqHDh3QoUOHYm1TVAz7RPRKEkURX3zxBdLS0rB27Vrtm/6oUaNw+PBhLFu2DG3bttXOhpOfBg0awNHREefOnYNSqSzWDAylKTw8HACKNKMQEZEhjG0YT3x8/EunHO7bty8sLCz0HmKVKycnp9CpN5s2bYrw8HA4OjpqrwA3a9YMHh4eCAoKwvr16zFp0iRJ7c/JycHBgwfRrl27Qid/KA7eoEtEr6Rt27YhPDwcI0aMgJ+fn3a5mZkZ5syZAwD49NNPkZ2dXeA+BEFA+/btkZGRgfPnz5d2k4tEFEWEh4fDysoKb731Vnk3h4gqO1Es+1ch3N3dERUVVehr7ty5cHJyQnp6OnJycvT2kZSUBBcXlwLrMDc3h7Ozs95Qz3bt2sHCwgJXr16V9rcEkJGRgWnTpuHOnTuS9/Ei4+iGIiIqY4MHD8bgwYPzXdegQYMiP5p86NCh2LNnD9atW4fWrVtrl/fr10/vgVmFrduyZUuRy+aKiorSW3bq1CnExsZixIgRsLKyKtLvQEQklbH17BdVw4YNIYoibt68qTNXfmJiIhITE/OdP/95OTk5esOAlEolFApFsWdhe5FYwvdBsGefiMgAjRo1Qu/evREeHo6//vqrXNuiUqmwePFi2NnZITg4uFzbQkSvBkEs+1dJ6Nq1K8zMzLBv3z6d5bk/d+/evcBtv/jiC/j7++vdxHvs2DGoVCr4+/uXTCNLCHv2iYgM9MUXXyAiIgIzZ87Erl27DO7VkWrt2rWIjIzEsmXLtDMFERGVKrWR3aFbRNWrV8fIkSOxfv162Nvbw9/fH9euXcPy5cvRr18/nfu1hg8fjrt37+LUqVMANFeGDx48iA8++ABjx46Fs7Mzrly5gtWrV8PT01PvSejljWGfiMhAdnZ2WLVqFQYPHoyvvvoKCxYsKPM2nD59GitXrkRwcDACAwPLvH4iejVV1GE8ADB58mTY2tpix44d+P777+Hi4oJRo0Zpn6ibS61WQ6VSaX9u1KgRtm3bhuXLl2PmzJmQy+VwcXFB3759MX78eFhbW0tuk0wmQ8uWLUv0OSmCWNIDg4iIiIjolfBW4Lwyr/PEoc/LvM7Scv78edSsWROurq4Flvnnn3+wdetWfPfdd5Lq4Jh9IiIiIpJEUJf9qzIZOnQo3n77bZw8ebLAMrGxsdi7d6/kOhj2iYiIiEgSQRTL/FXZyOVyjBs3DmvXri2V/TPsExEREZEkgkos81dlM336dPj7+2Pp0qX4+OOPkZmZWaL7Z9gnIiIiImnEcnhVMvb29vjpp58wfPhwHD58GIMGDUJMTEyJ7Z9hn4iIiIikMbIn6FZUJiYmmDp1KhYsWID79+/jnXfewdmzZ0tm3yWyFyIiIiJ65QhqscxflVmvXr3w888/w8rKCmPGjMGGDRsM3ifn2SciIiIiSSrb7DjGoGHDhti9ezcmTZqE+fPno3bt2gbtjz37RERERCSNWiz71yvAzs5OO47/3r17Bu2LPftEREREJEllnAqzLB07dgyOjo75rssdx9+iRQtERkZKroNhn4iIiIikYdg3iJub20vLdOnSBV26dJFcB8M+EREREUlSGee9r2wY9omIiIhIGvbsGz2GfSIiIiKShj37Ro9hn4iIiIgk4Q26xo9hn4iIiIikYdg3egz7RERERCSNmk/VMnYM+0REREQkDbO+0WPYJyIiIiJJBPbsGz2GfSIiIiKSRs0x+8aOYZ+IiIiIpOENukaPYZ+IiIiIpOEwHqPHsE9ERERE0nAYj9Fj2CciIiIiadSq8m4BvQTDPhERERFJw559o8ewT0RERETS8AZdo8ewT0RERETS8AZdo8ewT0RERETSMOwbPYZ9IiIiIpKGYd/oMewTERERkTS8QdfoMewTERERkSSiilNvGjuGfSIiIiKShrPxGD2GfSIiIiKShmP2jR7DPhERERFJwmE8xo9hn4iIiIik4TAeo8ewT0RERETSsGff6DHsExEREZEkIqfeNHoM+0REREQkjcgbdI0dwz4RERERScIbdI2fIIq8s4KIiIiIqDIyKe8GEBERERFR6WDYJyIiIiKqpBj2iYiIiIgqKYZ9IiIiIqJKimGfiIiIiKiSYtgnIiIiIqqkGPaJiIiIiCophn0iIiIiokqKYZ+IiIiIqJL6f6dzmIKLp2T6AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "system.m.orientation.sel('z').mpl()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "1fd409ff-048c-449e-a7c2-7f530c56a993", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running OOMMF (ExeOOMMFRunner)[2024/10/29 16:57]... (23.2 s)\n" + ] + } + ], + "source": [ + "td = oc.TimeDriver()\n", + "td.drive(system, t=5e-9, n=1000, fixed_subregions=['left', 'right'])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "be86aa7d-78db-4c4c-bb6c-0707fbba5e1c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "system.table.mpl(y=['mx', 'my'])\n", + "system.table.mpl(y=['mz'])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "51eae04d-0da3-448a-b4fb-eaf8eaef2ca1", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "system.dynamics.damping.alpha = 2e-3" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6a017dda-f28b-4158-83cd-761df42370aa", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "\n", + "import math\n", + "def init_H(p):\n", + " x, _, _ = p\n", + " x0 = mesh.region.edges[0]/2\n", + " k = 10/mesh.region.edges[0]\n", + " return 0 , 0, math.sin(2*math.pi*k*(x-x0))/(2*math.pi*k*(x-x0))\n", + "\n", + "H_field = df.Field(mesh=mesh, nvdim=3, value=init_H)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "5c78cc91-7055-4218-909e-3f4dda7f340b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "H_field.sel('z').z.mpl()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ba90d76e-f44b-48d0-a3c8-7a4af5374169", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$- A \\mathbf{m} \\cdot \\nabla^{2} \\mathbf{m}+ D \\mathbf{m} \\cdot (\\nabla \\times \\mathbf{m})-\\mu_{0}M_\\text{s} \\mathbf{m} \\cdot \\mathbf{H}_\\text{Sinc}$" + ], + "text/plain": [ + "Exchange(A=8.78e-12) + DMI(D=0.00158, crystalclass='T') + Zeeman(H=Field(Mesh(Region(pmin=[0.0, 0.0, 0.0], pmax=[1e-07, 1e-09, 1e-09], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[100, 1, 1], subregions: (Region`left`(pmin=[0.0, 0.0, 0.0], pmax=[1e-09, 1e-09, 1e-09], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), Region`right`(pmin=[9.9e-08, 0.0, 0.0], pmax=[1e-07, 1e-09, 1e-09], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), Region`center`(pmin=[1e-09, 0.0, 0.0], pmax=[9.9e-08, 1e-09, 1e-09], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z)), f=100000000000.0, t0=1e-09, func='sinc')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H_Sinc = mm.Zeeman(name=\"Sinc\", H=160*H_field, func='sinc', f=1e11, t0=1e-9) # \n", + "system.energy += H_Sinc\n", + "system.energy" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "d8dff866-0e15-4120-9876-5f6e9215462d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running OOMMF (ExeOOMMFRunner)[2024/10/29 16:57]... (20.1 s)\n" + ] + } + ], + "source": [ + "td = oc.TimeDriver()\n", + "td.drive(system, t=2e-9, n=1000, fixed_subregions=['left', 'right'])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "16059a83-cfc8-4c96-ae74-fa0deae4b528", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "system.table.mpl(y=['mx', 'my'])\n", + "system.table.mpl(y=['mz'])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "af5e4739-88b8-45b3-a43a-5fac56d9b83c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "system.energy -= H_Sinc" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "0c7c94c3-9c3a-4c45-a877-d672482b530d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$- A \\mathbf{m} \\cdot \\nabla^{2} \\mathbf{m}+ D \\mathbf{m} \\cdot (\\nabla \\times \\mathbf{m})$" + ], + "text/plain": [ + "Exchange(A=8.78e-12) + DMI(D=0.00158, crystalclass='T')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "system.energy" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "3ed5bf7c-22e4-412c-8f9e-ba8caaa0a1e9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4000.0\n" + ] + } + ], + "source": [ + "sim_time = 10e-9 # Minimum frequency and resolution 0.01 GHz \n", + "sampaling_rate = 400e9 # Hz Maximum frequency 100 GHz\n", + "n = sim_time * sampaling_rate\n", + "print(n)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "e6f82062-5703-48fa-8c64-9c174f1f5f2d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running OOMMF (ExeOOMMFRunner)[2024/10/29 16:58]... (151.8 s)\n" + ] + } + ], + "source": [ + "td = oc.TimeDriver()\n", + "td.drive(system, t=sim_time, n=int(n), n_threads=16, fixed_subregions=['left', 'right'])" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8f5d7ff9-d655-4427-80b3-43bd32f62da5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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5VhQFG6Oi6OKNEsd0Onl1rN3O8U//9Hbs2jWH97zn/cjzbvnbfW0jC4YPP/xwrFu3Dhs2bAjObdiwAePj4zj66KODc+Pj4zjyyCNVEN3pdKr3PFrsA1/4Mb5/2xb8v//zSDz3+J+tjlMw3+mQ14/ATZgsWbJkyZIl2//sP/7j07jiistx1lnnoNVqYevWLdW5yclV+2wR3ciCYQB4znOeg0svvRQPP/xwxQLPz8/j8ssvxwknnFCJtaWddNJJeM973oPbbruNVaO46qqrMDU1hSc/ed+V84i1YZno79/WvbE+/Y3bORgudADc2ceMd7JkyZIlS5Zs/7RvfOMKdDod/MVfnBGce97zfhdvecvf7ZM8RhoMv+51r8NXv/pVnHbaaTj99NMxPj6OD37wg1hYWMCZZ54JAFi/fj1e9apX4W1vexte9rKXAQBe+cpX4tJLL8Upp5yCN73pTTjooIPwhS98Addddx1OP/10VuZjpVjb0UgVRYHrb9mMg9ZM4uifOSiqPYsZ9uIkS5YsWbJkyZJZ9tnPfjE49t73fiDq2CNpIw2GDzvsMFxyySU4++yzceaZZ6IoCjz96U/HxRdfjCOP7C4wK4oCnU6HaVDWrFmDj33sY3jXu96Fv//7v8euXbvwxCc+Ee94xzvw0pe+9JG6HNc8xvZHd27D+Z//MQDg3Wc8C2tXhxU2pBFimLXdjxleanUwPtZAYz+u0ZwsWbJkyZIle/TYSINhADjiiCNw/vnnm+ePP/54VVd8yCGH4Kyzztqbqe1R8xjbGzZsrl7ft3kXnvIEuxJGaYUlk+jYYPjOB2Zx9ie+j587/AD81St+eb/etCRZsmTJkiVL9uiwR2f16keheSB1cqzeJGSZrOCkumBpFMi2O3HM8EVf/gmWWh3ceu92LIiqE8mSJUuWLFmyZKNoCQyPiLUdkEpBL5UveIvuKKnLZRI2A71zoa5N3GonMJwsWbJkyZIlG31LYHhEzCsyTsEwlz/EMcO0bY+BbpI6xUupzmOyZMmSJUuW7FFgCQyPiHnMsLUAzmOGLdDsaZMp67zcSsxwsmTJkiVLlmz0LYHhETGXGTbArMcMD1dNQi/HlixZsmTJkiVLNqqWwPCIWNsBn7nB8nrAlvlEAmh6yluclyxZsmTJkiVLNiqWwPCImLewzdpAw5NJmADaAd2xeuQ9YbsWWkPvupcsWbJkyZIlSxZrCQyPiMUCQ761srdrnfU6TlqxN4Hqrfduxxv+7dv4l0/9YK/FSJYsWbJkyZIlAxIYHhnzVAl0YVvsAjp6riBaYA/jWmzynrb3f+4m5EWBn9wzk9jhZMmSJUuWLNletQSGR8QkKGQMLq0ZHLmBRsHKsRntBj52Pl//7n3450u+h03b5k3/fnmUtovUM15cbrNzn/7G7Tjn0zdix66lgeIkS5YsWbJkyZJplsDwiJhcsGbJHDxmmLaRG8DWWxjnlWP7+NduxS0bt+Py6++1L0LYJ664DWe+9xrcs2knOz42Vt+WdKe77buW8NXrNuJHd27Ff33nnug4yZIlS5YsWbJkliUwPCImMaoFer3SahbotYC1NAtALy7XgPW6mzfZDQj72g33YsfcMt77nz8y39MhCS2ROHc8sCM6TrJkyZIlS5YsmWUJDI+IScaWLo6LLa3GpREWMI5dqKcDcG3NntYmPbZ1dtGOQ9puRZaAS5YsWbJkyZIli7UEhkfEJJ609LsMJOcSQFM2WW8rjFMfINJkBqA5G83R8KZt8zjzfdfgwi/dzI4ve9s5WxuCRJaNS5YsWbJkyZIli7UEhkfEJLtqLYDzmGFWQcJghgNtMnmd0YV6BPTSDUEy+iYAF335J9ixaxnX3rQJrXYtc/C2cy6Mne5abBc+HidZsmTJkiVLlmwYS2B4REyCVGs3OK/ig+3jgOFCB7qWTllgYTxEqkvML9aVIZYcMAwjzzZhkxsJCydLlixZsmTJ9oAlMDwiJlUBMZrfTqAzHkYmoedjaYYlMzxOK0MsU2a49hlrch8akjLD7dyOs3lmHh/56i24/f60sC5ZsmTJkiVLFm8JDI+IhTIJ8toEuY5MAjqA9nwoG8uZYf090ihopsxws8FvQy77IHKMNokj7tyPXrYBV/3gAfzjR79rJ5AsWbJkyZIlSyYsgeERMW/TjbzQj0OwurlRjs2qP9xtj/zDkkkw+UIky+tIK6jFMtA/vnvGbiRZsmTJkiVLlsywBIZHxKRcIWbTDAlsO8Y5E0yL9vgCujj5QsyGIErhNT1OxwbdPGaqNJEsWbJkyZIli7MEhkfE/GoS+gI6CTOtahK2v/i3AaCpfMFneWltZNJswHoTH8Ymx8oxEhhOlixZsmTJksVZAsMjYmE1if4yCXfRXa4D4LC0mrE4j5VWs5lhlnMkg03NYqA91E1LuCVLlixZsmTJknmWwPCImLvphlUazZFWWP4eSxvjH+ZNwawFxm1/CroLKwFhrb3MDCcZRrJkyZIlS/bosQSGR8S8+r+ccdXfE/hYtYkDAN1fWuEBW2sBncVMA7Y2memcYZtcbLiw1Mb8YsvxiLcbbtmMN5z7bXz+23ftkfaSJUuWLFmyZI+sJTA8IiZ2ObaZXfpatBHn4zHDFujWX8skuGbYBtBUasEAtONDjYLhVruDv7nwOvz5edfioZl500fadzc8jM9dfWcguTjvczdh53wLX0hgOFmyZMmSJXtUWALDI2JelQcKlL06w9ZCOU99YJZwM/S/8cyw/h7A3vbZqqcsjVbNeGjbAmZ2LmFpuYP/vOpO24nYroUW3nfpj/CFa+7Gt3+0SX2PBsW/8t/34KvXbYyKkSxZsmTJkiVbGZbA8IiYBF8MmNJFbtABr/w3kykYWl7pYwFgT/JAD3QidcIZMvI+krORv7TcWHS3LLaAXlhq49Jv3RnsWrd1x2L1+sbbt5hxqN35wCw+88078Olv3B7tkyxZsmTJkiV75C2B4RExV/8bWb/XYnA9ZtfWI5PXNC+VM+2aJZPwzNIpdxww3GEyCb2cGwBc+KWb8cVr78YHvvBjdpwCaC9Nej1bdixUrzds3G47JUuWLFmyZMlWlCUwPCLmMba2fncYHx7XrEcMA4A7mgdrAZ1nfHMQHcAHPiYY5j7fv63L4G4hTDDAd9TLHT0GjUN1zl6t5WTJkiVLlizZyrIEhkfEvJrBhSE/8PW//VligFdtsCtQ2DEbZmWIWDCsA2iPGbbAsAdSaZy2AXKl0c09aB82vB1BkiVLlixZsmQryhIYHhHzWV5DyuBUhrAWxlmguyiKKADsVoaIXABnAXq+M53dgCWTaDrAluqJ2+3ITUQM2YbnkyxZsmTJkiVbWZbA8IiYvwNdHDNsVaCwpBC0DWddXLzkIZIZthbKxcokqJa3RUCzx9iyne46FNiaLkz2QUG3DLNh43a840PX4Q6xUC9ZsmTJkiVL9shbAsMjYh6wNatEuKXVBpNWhJplA4yLvC0AG7trHdMmO3mymAYz7ILhDgXDhBm2wzAATZllyQz/w8U34Lofb8LfX3S901qyZMmSJUuW7JGwBIZHxFyZhFFBwi2tZm6gIRlovS3OLMflaZVpk2ZLMPT3SDNlEtHMcKRMwojj6ZmTJUuWLFmyZCvLEhgeEYtlZj321NL/egvoKmbYK+1myC9k3pZOWZqZm1G1IpCQ0IV2ncgyaeR9HAw7PlSOQcGwo2dOlixZsmTJkq0sS2B4RGyYDTTkArq8Os7N34Gu/BvJTEeDZh2ZesDWrIAh2uJVK/S2pFmaYc+YD2WJExhOlixZsmTJRsYSGB4R85lZqK93V//LfUQ+0IFpEZmbFSdaZuFJOwwAHbtRR9tgk2XO1o56nUgwDXQZ5Y5XWiNZsmTJkiVLtlctgeERMYnjLJ2vt81xDMtrLdTzyrSF5dhCfwDmds7UJwDdBgPMX3OfjvG+YcCwx2Zb+bQjmeH5xRbe+P5r8eYL/htLy53+DhEWGztZsmTJkiVL1rUEhkfEouUHEexrCKw9mUPvPR6bLEGiJWeI8LEW8AXtGlUmgjgsplebWN+2mWuOPTmGxSzbAHz9TzZjx9wytuxYxHdu3mS+j1q7k+PCL92MT195e9D2F665C3/yL1fhv38c11ayZMmSJUuWLIHhkbFhagZLcXAeA2wtZtiQXHTDeHriML6XgycHsdjoQL5gbPvsMsPGbnLeRiHWudid9uiZ+cU2O3fDLZvxdx9ajx/fvY0dv+mubbj2pk346vqNuPGOrezc566+C528wAe+eLMZM1myZMmSJUvGLYHhETFLVtB9rYMvi00OgbXeFn1vuLBNfy3bsF4HoDvn8WR8mUMsM81Y3kiZBJM8OMC2Y8kpHNBvseMNUbbivM/dhI2bd+FfPvkDdnzzzEL1+uHtC4ixoihw1Q/uxw/v2BL1/mTJkiVLlmx/sgSGR8RcmYRRckxCv0ozHDC5gwNob9FdTKm3eJmEBayhvg7P2aCZGge29LjdN2alC49NNgC0VwOZGn2bQzoz+8FtW/CRr27Auz/zQ8zsXIpzSpYsWbJkyfYTS2B4RMxaQFcUhdhoQweM9FzADBtSBvreELzqMamPrGfs7UBXM9B6zkGe7mK8/iyvp//lMgkdJAc+kRUs2oaEw9sdjxrbBCQSDVM5xf0P74rySZYsWbJkyfYXS2B4REzu2BYDbD2Qyo5DB3U8ju1jySRCZro/m+zJQQZlmYPXxk59gJBDGMyujGNJKDyg3jY294jdtc7b+tqysWYNoNuRcZIlS5YsWbL9xRIYHhGzmVRP8qC34etypY8fXztnLdRjQN0C0JGVKfzayHpMqxQaIBbdRccxQLPTN5QZXm7pwNgzutMdZ6Btfxozjn9OlixZsmTJ9h9LYHhEzJY8OPIFow2PsbX0xG41CYPlHUxnHOYPcNAsr80qFWfF8WQSJuvsaI7p+6wKEiHo1gFwux0HhpdbdT1i2jYF1tI6DgN9z6ad+I+r7sCOXUlLnCxZsmTJ9k8be6QTSBZn0eAxajGcZGxtNtlioK2d5XwfD1gaucEHo1mmscl6TIvJDc9RYKu3JX1Mf4fp5ts5x9UmpswwZbO9LaDpJEAy0H//4esBAPc/PIczXvJLZhvJkiVLlizZo9USMzwiZrKshhRC9/GPAzZ48xe2xQFbV1qRF+pxqzIEz81heQ022Iof+DMf5hIHut1JBAGpbQpY7euhYNjSOUtjzLCxVfQPbk9l15IlS5Ys2f5pCQyPiMUDQeIDG1RZx0022dmK2GKa3a2VTTZZ+BgsLfNx5Au85q+ei+/Tv2+CPD1m2DjXMuQTAAewnUgGmuZGK1DE7o6XLFmyZMmS7S+WwPCImAf4+PEYZth73C/iGpIHj+WNWdwXzyb394nVDBeO5MKsOuGx5qacQn8dxCHn2kb94SAftqNerr6ne67+Ny3b1mb+Phi+/+FdSUucLFmyZMke9ZbA8IiYBfh8YGsBTrttC8C6i+GsyhCREgH6bw/0R5eKoz4WY+uCVOs197GAcuyiuzzXF7aFwNaoIGFUwAC4nIJWkLBKu0m7e9Ms/vbf1+NtF13P2qqvQwfS9z28C7Pzy2a7yZIlS5Ys2UqzBIZHxEwgKN7H6wyLNsy2+rPJAUhmrwWwLf/KtgyGk8ZxQbcBYPfEDngW6Gavh6hn7MskSEwHqHcMHyqZkCyvlRsF0FKbTO0/r7oTADA7t4zNM/Ps3BevuQv/37nfxoaNM+z47ffvwFv/fT3e9qH1AdD+yT0z+OTXb0tAOVmyZMmSrThLYHhEzAJ8IeClsgC9DXnclzxEAE4JLPPhmWGv5JmZm1cZIgLkBnEiawZHgWHHJ7ocmyFt4MwwczGZZqpN1hjfygidvLDcYacuvfouzM63cNYl32fHP391F0Dv2LWMrTsW2bmzP/F9XH79vbjka7faMZMlS5YsWbJHwBIYHhGL1//S13Gygt2uQGExts6iLntzDzuOBa7dig2xZdKMhXKxm3tY2zG7lS4sYOxsCGJpqAOm3QTQcTKJBl10F1kDeaxZf50sLLfVOOt/sjmqrWTJkiVLlmxfWQLDI2ImyytBpdyZgrYRwQybVSscYGuDbj1n1cdkkx0GOgp0W8BW5tY/ZiwDTV9L+UJhVLRgPqIPOsb1dAzNcZBPZNUKy2Lfx+omk1JxdKMQadtmF/HWf78OH0+McbJkyZIle4Rs5MHwLbfcglNPPRXHHnssnva0p+GVr3wl1q9fP1Ab119/PZ785CfjD/7gD/ZSlrtvsZrhKCbTAMluHAlSIzaWcMu+WWyyK62QPoPlZtUfluesahKu7MOIKbedtmQSnp6asrm0bUtmEeTDGOz6tSeToM1RbbHn0zFAd8vRJl/05Z/gvofn8PXv3ueC5mTJkiVLlmxv2UiD4Y0bN+Lkk0/GzMwM3vWud+H888/HmjVr8JrXvAY33nhjVBvLy8v427/925Vfc9VieR2AJs0CnE4Ys184SNTPxe7YRn28BXTWwj9/MVz92q+a0f993vVY7G1seTkP2JqaYU9aweIY1Sicm4VqzykzvOQAVqtShSezuPfhuer13GLbfF+yZMmSJUu2t2ykt2M+77zz0Ol0cMEFF+Dggw8GABx77LE48cQTcc455+DDH/5wVBuzs7N46lOfupez3T2zwJsHHj39LW/bfk8NbL04OuDzdMYylZjSanY9YxEHem5ezWJrcw0W3/Ox2Gi3moSeZyB5MJhqr7SapRlmkolILTAFtotLNmClbceWcBunOuOlNtYdMMnOF0XBNg1JlixZsmTJ9rSNLDNcFAWuuOIKPPOZz6yAMABMTEzgxBNPxHXXXYfZ2Vm3jVtvvRUXXngh/vzP/xyrV6/e2ynvUbN3k6P/MpjUwNVmX3MDdefae8Df6gNOkUEMuDc0uy7La2h+XQBtLobTc5bvsxhj2UaMThmwWWOPGbby5mXW4sAwlzzEVaBg0go3jg6gAeCSr92KM997De7e5H+OkyVLlixZst2xkQXDDzzwAHbu3ImjjjoqOHfUUUchz3Pcequ9KCfPc7z1rW/FL//yL+PFL37x3kx1j1gAEiMWnJnM7BDSCvmWmPq7g2wIYmqGDcaWnvN3hhucGbbKsfmSB3ot5D2uNjlX3yfHjW3HPEQ5NuvaQqCu3wiMgXZuFqsChccMW4sNl1odXPHd+7Bjbhn/8c07TP9kyZIlS5Zsd21kZRJbt24FAKxbty44Vx4r36PZJz7xCfz4xz/G5z//+YFjNxoZ2+J2b1qzqc9XskaGsbEGGuJ8URQYG+sek4+XswyqDwpUPhLqNLJeHOV6TZ9ebpnwKYgPMt0niJM5cZqWT1b7MGBbtyVzy6gPOMi1+hOWDx0DEae8Tnk9eWH3TdaAej2AfT08TqH7BPdH7ZORJLzrqXIG3/aZ+lg5S6P3x66FVnX8nod2mT77ysrPofV5TLayLY3f6Fsaw9G3lTyGIwuGl5e7O1lNTEwE58bHxwEAi4uLwTkA2LRpE/7lX/4Fp556Kp70pCcNHPvgg6f3uY6xKcDAqlXjWLduGsuFzCPDunXTAIDJST68kz2f7Qtc91kAlc/YWJOdm1o9gXXrpjG9Zo4dbzQalU+zyX3WrFmFdeumsW2uxY6PjTUrn/Exntv09GQ3zla+21mT+Mg+P2DtFNatm8bUav4YfXJyrPKhwD8viur4mtkl7tPrm+711D4Fap/p6V3MZxXxkbmVx6emeG6rV0/WPg0CJJt1f67ZwXOb7vWnzK1JfFaL3KgPzW18vEl8djKftQdOYdXEWC834jNRX+fWXXxMy+MAMDlRj+n4ZO2zSowp9aHdVt5rALBEd9rLC+Zz70M78dYPfAe/esxheN1LnoZ9aWvXTu3TeMn2rKXxG31LYzj6thLHcGTB8ORkd6FNq9UKzpVAeWpK7/C///u/x6GHHorXvva1Q8Xetm1unzLDa9dOoSVW8e+aW8bMzBx2bF9gx4u8wMxMF7guLPK+mZ/v+ewQPkXts7zMgfKuXUuYmZnDzp3cp9XumD47Zhe6cWa5z9Jyu/JZEj6zpY/IbXmp9mm3eR9s3z6PqWYW5LawsGzmtm3bLmRZFsQp+6brU8cpitpnVlzPHPFpMVlA3Z+zO/mEbHbngprbMumb7SK32R39fWRf79gxj5np7qSQlixbWGzVuQmfbdvmMNWbQNF7Z+euRZIbB7blcYCPz+zO2mdmu+1DJRgz2+vr3LK1BveZ8PmnD6/Hlu0L+Mp37sb/+z+fhCaZVFy+fiNuvH0r/s/vHoOD166qr3upjS9eczee8oR1eOqTHoNBrfwczs4uRGutk60cS+M3+pbGcPTtkRhDSqR4NrJg+JBDDgEAbNu2LTi3ZcsW9h5ql112Gb7xjW/gggsuQKvVqsB0p9P9IZ+bm8P4+LjKOJeW54WrndwbFmpcc7TbOVoCIBYoKr2mvNk6na6PLHVVFLVPoFfNi56PiN+pfaTWtNXqdHNr8Th5TnzE9ZR5SX1ph/qI3EofWRWh3bHjLLc6aDYaoQ/pF1nNodXK0WhkQb+1O4YP6U/p02rlam70OuXEp0XitMVGG9Vx0dfLLT23Dm0ryK1TVXegPsu98Sxfsz4gbVBgS32Wlmwfeu8sL9c+i8Qny7jPg4Rpnt21jANWdz+r7U6Oj13eXSfwyStuw6m//wvV+z522QZc/cMH8aVr78aH3vRbLJ/lVgdLrU7Vjme0/5KNnqXxG31LYzj6thLHcGTB8OGHH45169Zhw4YNwbkNGzZgfHwcRx99dHDuG9/4BoqiwKmnnqq2+yu/8it4/etfj9NPP32P57wnraq+YByXr7V/qz5GBQqvnrFdGcJZQAe9PW+XN2sBnV9eTuZg5GaUYyv/3UDm1022Fqk5C+jsRW4ijlERo/DiRCygszYxkT5e1Qpa+qxjXJtbz5icohMhOlmREpSxZoZyDriw3MEBvUIws3PL1Xs23Lud+Vz9wwdZnLEK9Of4p499D/c8tBNv+cNjccRjDzRzTZYsWbJkj04bWTAMAM95znNw6aWX4uGHH65Y4Pn5eVx++eU44YQTMD0d0uOnnXYaXvKSlwTH3/GOdwAA/uZv/gaPfexj927iQ9hQtXwDsKNXbLD86b8D0E3LsZkl3GyAZgHYoUB3EJ/G1OOETDt5jwL4ZC5BHKtqhVOxwXztlknr/1rmYILuPVADuShq3a+1i55/v9XnKOtNn3hIRRKbBBgA2gPgc4ttHDjdZYG3bF/EPQ91tdNXff+BBIaTJUuWbD+0kQbDr3vd6/DVr34Vp512Gk4//XSMj4/jgx/8IBYWFnDmmWcCANavX49XvepVeNvb3oaXvexleMITnoAnPOEJQVsHHHAAAOC4447bl5cQbxKIlX8HKF9mYRK/HJsOUn3QbRx3kqnLsenxgRCQx/iEgJznOJBPdAk3/T3eOV6azZ4QWKXm3O2YzbrJcaC7cHPrsuZA3E550qj2nsksHGaY745Xv+ZsshmSPZ6jO+rdv4UvEt2yYwFXfvd+/MrPH4In/1xYtSZZsmTJkj06bOXVtxjADjvsMFxyySU45JBDcOaZZ+L1r389sizDxRdfjCOPPBJAFzB0Oh1W03UULcATBuAsjNfdfxvMcGH+o/6XB1KNcwEQNB7X03/7oFs/59VatgCfCwTFrWL5WBt1DFPP2ItvsawMQMs6wxawjQXqZm5DgO7Y2sSmTIL7mNIK8rrhoGHOQBP9ssjz81ffha+u34izPv49s61kyZIlSzb6NtLMMAAcccQROP/8883zxx9/vKorlvbRj350T6a1F8xgUrV39nScJrB0sLAFuj19qSVt8BjOIOdyAw0HdMu8LWbYYlLpez0gaLHtnrRiGPbVki+EOuOIOBLAi9Jk/fyDc9G5kXOREg5qFLNSlpeCXMkMW9s+R28v3dZ9GoIauOamTQB8ZjtZsmTJko2+jTQzvD+ZhSckcAOIhEIct8Aja8cEozpA1Nqz9MyWrrZ7TmYf+tiL4aycNRBvMMMeSDTAvRXHYljlOYvx9aQv1iTEA912HJ7bUHpmY0JApRXe+FCjwNbaaU+2Z8kkvMqHbUOO4bHJEmjf9eAsNmycsYMkS5YsWbKRsQSGR8RM8OgA2xCElC4KgDbOFeJ8FZ8CH4u1jgR1Xs4umxylZ7ZYXtmWHdPWJutxYmUF0Ywta4+WJdPbdeN4uRnnhqqOERunMI4bi/EAqRm2mGFHJsF8aAk324dqi3fOL+OfPvY9nHXJ93HTnfYul8mSJUuWbDQsgeERMYv/1R5B12SuDgRVZhj9ALQRY0gfcwFd4OMxpnqcGAba1Rlb0gqPfbWYYaMyRRDTAJVhbv3bknFjWGLpY+meozXDbpwIf3fiVL+2NMPuArpIbTI1WrXi4e2LVRvfuvEB2ylZsmTJko2EJTA8IuaxktZ7A4YzL887zLCMU4HkOCBI3+sCTjN3GzhZoHeQShdW2bcYYOnKPoaozzzcwjYdPMYCaJdNLqzXkXGGAvcGS2wAc4CD1g6TSXTU90gbRibRNuLIa7vtvu04+xPfx/qfPGQnkCxZsmTJVpQlMDwiZldSUN8t/uptaO2FomEvTvkWi0m1YoRhTCkCrWdsgW6ZTwSbHCsRYHEGAt1lu/z4MNUXYkq4hbWR69e2HEPkbLwvlk224sjc4lhrqK8BuwIFBaze/ToMM0x9KICWcS791p34yT0zOP/zPw7a+O+bN+Hy6+9FZ8Qr2yRLlizZo81GvprE/moVY6sIKHILiFWsqN4iYLOfFvNJXAOf4LjD9tXgXgfj2rla8iDjm6k5LG+YS30ughlWzjUU3aqpizWYWM/HlxLofR2r5d19nXFcbnGbe/AGGo2sOk+lEd6mLtTaho+nT2+Tk3RL6oZYqXfLxu2q/6Zt8/jAF24GABw4PYHjn3JYde4Ht2/Bpd+6E7/3zCfguCcfaieRLFmyZMn2iiVmeETMYlnVH32dGCY1g20AbeEBT6ZhgTdXWhEE0I8PtSGIA4pMmURE9YK9WQPZX1xI/I0JhWQb6RhYwNaXvhgsrSetYMyw3m7gEwHUJZFKmWEqk/AqUFBrGz4eY0s1w3QxXdMpW0GvYdvsYvX6x3dvY+/7r+/cjXs378J5n7uJHS+KAv9x1R344rV3u091kiVLlizZ7llihkfGdGSr/UZaYLSqGew0P0xt4qApC1i7LK+RsxPTmhAMt+lGTG4iDquoIXMzQDcDj9ZxD0DrOcdOllyQapzzdpMrjHPxG3X0j+8BWzOmC4Zz9X3tdpzPcqt+7YHhVjvH5EQzyJMCeAC44/5Z1f/uTTvxX9+5BwBw+MGr8auJNU6WLFmyvWKJGR4Ri5UvMB/r3y6AlnF1UAcDoAFUiiCAE2wfpdngfbEAOkbLO9iOenr8qEoXHoC2mFhvAV2E3paei5VchOdIfK+ahMXsOsC0Q+6POGbYu4/093lEqtV222GG2aI7wgw7FdxYe8wn0h4g20Pfu3kXO7dtdhGXr9+IHXPLA7ebLFmyZMm4JTA8Imb9uGvH7QVfuwGghXFJp/4uT1oRu4AOhQ1wYhbQSSerhJsn4ajAvZ2aM1mx48TIBWj8IM9hpB2ORjZmF72OaM9cnOeB2QimPbY0mwXUvS2g2U55FAw7O9ixhXoOy8t96nPR0gqSG13QJ10uvmwDPnnl7fi3z95otpUsWbJkyeIsgeERMatig7rphnHKYiu7x3yW1XvsHAsEOXiUyLb847G8Etjq8QvlPfLfg8gkYnbUiwWjZi1fg/0N3hdZcaFm9GXOQ8TxmGFTJkFj6j4uay0mQfaCQMPfAcPWJMLTHFs6YwqSpXUMaYVcdGf50DhyQ5Af3tHd7OOuB3cGbbQ7uft5TZYsWbJk3BIYHhGLli/AA706qKvPIECw/bdp1iQU4Xu6hwv5luDfYVMcFLFzhhzDr1rR/3osqYYnkwg11RaAhmr+1spQz8XINAYZt5hqEN6GJKacQ+DFSsIR6I/r14E2udDP0UVvsfrh3GjLk6rQOF59Z2qtji6TiK6BTAC048Js10ILf3netfibD17H2OhkyZIlS2ZbAsMjYiGw7P/e2N3XusfKdvWWA/DqJGACW4d9tZgsB286cRwAbfRBDIC2+qAowl4zZQoO+1kf523FlGCzWOtY9pXGLSSwNdhTFsdbJGfEid3Aw7+e/jGjd81z7s9hmGEmkyASDN9Hr1rRdkA3tRs2bMaOuWVs2jYfbPxRFAV2LbSi2kmWLFmy/ckSGB4RswDfILvJWeXLeHv8uMmKMsbWAI8OEAxyIAwj99H96TkJRRmoEWHqR/QifKG/pjmZC/gQ2qC1iT2ds70LoOEP+x7gm2HoucUyxvTcIJuYWAssPZ+OEceSPFhbPtO2vJgSqHeM2sQU8AYLBankgb22fRiAXq7BMN31zjPqQ5llAPjMN+/AGe+5Gld+777Ab3Z+mfkmS5Ys2f5kCQyPqFmsaPeYD0ZVAG2257Oi3jnXxwD3ltxAb08HnK58IGZ76cgd9ap/q2NgtGVsie2CcWsBX273jVVtxGV5K8Ap4sQwwwMx0PqExJVWRIFuoy1nUjZcOTjib4BkwAbK1qYfsj1ejUIvByeNXo9cqPfV6zYCAD52+a3s+JbtC/iL912Lv/7gfweAuJPneHDrnPqdkSxZsmSPFktgeEQsesc2EGBrHPfAmzxpMYwusLVyZv76uUE2trCO505uJb4YBKhXgEXmZiwEoznZLLN+XGvPGuvhmGE9Jv23ywybAFrvm+5rmUP33CAyifL6XJ9YYGv5OMywNYlggDcAw7qe2ZJcAPaOenTb6JaoehGrYbbsmps2od3JMbNzCTfdtZWdu+jLt+AtH7wOV3w3ZJOTJUuW7NFiCQyPiIWSB50tpO+1AKz6c2mwdVUbQ8kkZFvUJy43b5Fav9rIg+Tm6W9NYGm05fmYjLEHxofqTwPYRoBub5c5i00OwaMe043jSBssuY5XASKKgTbyjM2tbSzgA2wGuG1IJuS/+e56ts8ykVDQ8nDLTqk4avOL7eq1vI+uvWkTAOATV9zGju9aaOHvPrQe53/+psQaJ0uWbOQtgeERsQAkln9VIFawv7WPfhwIAYP0Cc474C2OTdaBi8Uy+zk6cYxzg2ygYTGmLjvfdwwCl9rHZOcHB7bWBAJAuFFHhJY31Bnzv6V5u9bZm6U4wNYA3V4FiiigzqpE2G2x6zFAcwiG9XPWDniAANcGGy19KOili+5oBQsPsFI5RWwFisuvvxcbN+/C+p9sxsaHdvV3SJYsWbIVbAkMj4gNsoGGBUZhHXfj6O/zFqntzgI6P/7goCoWdMdsrSxtmAV0PoDmf2VuGmvfX44hwaMDOGOY1MgxiNlEJFaKwHIbpAKFIeGwgHqMTKPbHgWzYbyq7YhFdx6AtoB2R1SjoGwwZY2XIytYNJuDg+Edu5aq17JCxdU3PoC3f+QG3LMprIGcLFmyZCvREhgeEYtlXwEdIHeP87+8PYOxrJg/4wRsABuCyjBe//iF9pIFGEzyoE8iYvS3loTEA7YWqNJY7n6L0fyFj3FxOHgz4juAM2CaKzZZ5MU0wxbo1sGr6mNMCFw9s3E9HNgO1hYgd92zZRKW7CJ2AV0nAhgH50hMWoFiqWWDYQuouxuKOJOqi75yC+56cBbvu/RHpn+yZMmSrSRLYHhEzMKI+uP27l8LiPl1hmVc/QQHtnqu/gI6wyeI7/gYYJT+066lKwNFAOhIlll7b7+c+bm444ANRi2NrVtlIdePs+2PI4H6MIwt0yYb7XUEgrekBDTv+M1F4gCnVfUimoFmx/n1tIxFd57sxGKNaQUKySbT8WoZJeAWnVJrbSMO7cMtOxaZT6ud45Nfvw1X//ABs91kyZIleyRs7JFOIFmcDaL/1WFYPwCttxcDOOM3qfAA5xBxDP0t+3cAEg3wZvmHTQRvHG5CEvpU7zVztuNYfe2x5qZMwmNSZXsRANpip2PLlzEfOTYxDHQkY1sU3WvNsiyeGabHvQmBBcC9hXomGx0Huj0A3WrnmBhvAuAyi7axa540Xt1CX8An7fLrN+Ly6+8FAPzyUYdgzdS4+d5kyZIl25eWmOFRMQs8am81HkO7OmPRbr843oIck+Fkr2OBLQErVhx5nEwUYkEiXxCoA/KgP0U8anYJNajHadxBxs3WTUM9HlNL1wNbw1TnMOULA/gURm4uGM31/vSrVnT/7bGvscCWLe4zJhSu5MGIKXeji2GdvRJu9LWnZ6aWkT2llyMrWNx4R122bdssZ40vW78Rf3PhdUlnnCxZskfEEhgeEYutFsCOGWBUBWJGXLNMGstNntMRX1xptThQ553zJgr2Qj0HdPdhoF3G1kDdgyx8rGojK3GsChAVsA7eT14bYNQrxyZz6BjxdxfYmrl5TGoksPX1t2EuMo4NPm2Q2jFApgvuDfmCx6i3Y3Mj+VCW1ysVR8eY7ufh1UCm1szshXqfuvJ2PLBlDu/+zI3s+PxiC+dd+iNctn6j2W6yZMmS7a4lMDyypoMQwGYLvRV0dimw8q8G3vw4AbFE/m2C0UEAvAXUHQBtMbOWxpa9N4ijg0eWW2R85mMBWyc3k2V1KPBQVmC05TDDMdU5Yjf3KDyQGAOgh/GxcnN24bP1w3G5FQ5INTcBca4zBpx7QJ0tmmvrYBzgQJe2RuscL0duG00ZZNq3O+aW2fsu/dZduGHDw/jUlbdjYanNzn31uo34vx++Hg9smYuKmSxZsmSWJTA8IhYrX2DvEf+uS4FpSEyP4wLofnECoGHnZkoRYqQdkZIL3p7e2mDyBZGIcs6SfWjA1gbqdm79ZRJ6XloO5m5yHmNrShE8kGocd3IrwZsLHo1+czceiQXQFjAt9PfIOKbOOFL2QZnctlxEmOsMsleOjfrEMsMW090iC+haTtUKavR93kK9n2ycqV5v21mXc8vzAp/+xu24e9NOfPSyDcwnLwpcf8tmPLg1geRkyZLFWQLDI2ImYzsAqKrbCo9ZNXPLurIaeLMkBzLHOi5hxwyQaLUxCDPs1VO2+q1mRRWY3AfYDsLO+wC619cDSUX0PhhG8mD7kHhmnWG9LenvxnGYTGuyFAdsoR7X45SgW2x5bDHDHrCNeJ8Luo3SarFA3ZJmyH/HgGnvGiz9sWeUQZZ1iqlROQZd0De3WPtsuHc78/nWjQ/g/Z+7CWd/4vvu2oZkyZIlKy2B4RExC1iq3/UDsoVau2ZgYnb1g/5xAj2x8JX5DAZsbZBq1d+NWhAogaCRM/OxmO4BQLfPDFtx9LZcqUoEK2o+oQiAbZi/bG8gyUPRPzcLxPvXo4PEWClCjLQj8I9khu1NN7hP2zjn9acFtNvGdtBBDgaD7FWgoK1RNnrJYYapUZ9lh4H+9JW3AwC271oOgPb1P3kIF3/1FuycX9ZckyVLtp9aKq02IjbIIrHhmEy9PQukar79EvDYQpP9tI7bYVzQP1wcA4x6kwpr0V3vrw6g9fGxFsl5uXka8LJ8mGytn0zDz832iQa2MSyvw1pbzKzHJltbNXtl0uzyZZJNDnMBfABtbftsHZdtWNIIj7WmzbWZj7ieCNZaMsPlvSYDWdIMaTTrWG3y+Fijkl7sWmjhgNUTALqL9s79j+5GIGunJ/CC33iS2UayZMn2L0vM8IiYhcMG2pXMaKv3ZvVkvbDNBmLSqX6kbSSm5daPZXZytgCnV7FBWm7lDKc/h2B5TTAOG4x64L4Co5Hx6XvDfjPAo6PL7UQATgtA+5UuIgG0x8xWkgcbQMdLK4yYEQBe5uAB28LIzQKi8t8xwFie4xUsnIlCzPV0nOshx5eNLaQ9ozpjjxmmMSno3kE0x1fdyDf+uO/hXXjj+6/FJ664LSqXZMmSPbosgeFRMQOk6uxnP4DkgTf9x8xnWd1U2XFTG1yBUR1B+2y2BVK1ODp4czcxsfqzykPLTW8vatwMIDjIuFkg2YvTD8BbOfTzsTTDbjk2C0DvCTbZkVZU90ekXrYoap/4TTf0XOS/OTB1tnCOkC/I3CgbS/NsO2yyFcebkDBtsbVRh6czJs3xesa1fwZu9L6iMReXSTUKcU++/3M3YcuORXzthnuDa9i0bR7rf/KQvm4iWbJkjwpLMokRseCL2ACCgAdSHYAk/tZteaDKiOOBN3R/vAKZhAGhPTAu38OCGPH7+8Tn4APb7t8QCJbhBhi3EqCFYchiNKutQSY+Bkim5dgsYGtMSLT2rLrJRe7F6f71JALRbLIBbOl7g4V1DuArCiDL9oxm2GJc28Zxrz2PTbZkEkx24vhYDHJ0qbjIzT2oMZkEZYYFGraYYVq1IhM+D26dr17vWmhh7XQtrfibD16HvChwGoBnHHNYfT1Fge9teBg/e/gBOPSgqahrSJYs2cq0xAyPqHmLqmrQqwNov86w4aICWx081ZIDNTk1CQs8emC4H8Oo/cb28/FStq5TnyjonT0cM6zH53kLn6hScfI4/yvja3Hi2GQ9vssM7xGdsXW8CN4TxHFyk4DcLPtmMcMR0g75mtcmFpIHg831ALRZqaKw41jteRMSi0H2crOML6CjzDBHtvR7j2qY6UK9RkPyybXRDUG2zS5W1/QtIa249Ft34rzP3YT39nTI1OYWW7g/1T9OlmxkLIHhETHz90IFO/xvfVwHIdxHR8MuYxqTVM/6MZkWeNQvtF80xaUPePM3FzHiu/1pHVeAbfnXHLfAxRyfenKhAWg9B6umc0xJPOu4GkfkIfNS26skD8IngjEdpAJFDWwdje0QcUzw6MokqJRBf09s266PAdo9ltcCs7FMN69gYcskaG6UDfZKuNEUllu6TEICaGqs0gUBxjNEcwwA//WdewB09ca8bnMHb/339fjbC6/DLffMmHGSJUu2ciyB4VExg5EbqC6u+BsXtgRIekoeEHQJnyA3A1TBbqsfEFP7pk+cQRjoobTJnk+l85Vgi/vuqdxsoK4fp/FCHz1nILx3TDabPbrXAacXx9QZez4BsO3FH6A2sSWtsFheptF16hl3jP4YZtvncKMOfYITC4Y5UI8E9wZLHC66MwB0oft4Wt5Wpwazi0uUGTZdzLJvTYdNnl+sgfaDW+cr4Hztjzex933/tofx/537bXzhmrvsBJIlS7bPLYHhETH5de/qYQ35ggV2AFsmUINEFQ67jLF2ctDFW3Zs0icG2HHZbBM8ak56e17fWBMBn7E1AKzBpmvt1v+2r8di9PsBaz+OflxvT2/L3agj53/r40XwHnkuZKCd3EwAbQM+c9EdycdadBfLWkfvWmctoAtqButg1tq0I2hvCGbYAtoeULcAuFeOrUkEwbQCxZIjraBmMcMNKTQ2fKg2ecv2Bfa+j11+K3bMLeNzV4dg+Ds/3oRv3fiA+92eLFmyvWNpAd2ImP2oOR7suIDPiuN8L+dFyGLyOFr7tW9sbgX867SBp5PbEDkPV7Wif05BHGsMHNA9jJ7ZimNLWGzG1mKM9fb0+IwZFpmXAMnTGdu748UBTvrvkGXWY3b/zXNU4ygMcDPLosuXWcAa4H1tlVOLLUnnaZNjZB/x12OD7jwvgKZyPY7sgxrVA1M5Rdtgs6XRhXps0Z3DDFsAOhMAekZsKV3munn7Aj74xZsBAKsnx3Dckw81YyVLlmzPW2KGR8TMR9cq2info3/hu8xw0JQODry23NQK+S5+3ARvahwfIA3GDDvxLWmF089mnCpHLTc9jn89xrgZ4JG+N2S6IwCnyfLqEwXfJ0gteI9sQ7p4u+PZwLa/j89083PWrnVDLe6jwDZyNzkLcMZKK1hMl+U1tm12QHfHyNtisL0cPHbcMiYbiQTDe5IZ9qQVtO2tOxar19+/bQt733c3PIw3XfAdXPOjB822kiVLtnuWwPCImAlclPdWX/TBD716uDroSQQ0p7ywZBI2ELPBBveV5wZ53L+nF7b1A7Z+H/Djw9QMrhlb28diK4eaEBh9Q9utz1nXqfvTXC09tZZbTG3i2BJucT4eeNTBaOzOcPRcLGMbs1Aw8DFArvw3vVZLl+vlYO2U5/oYDLbMIcY/uIaomHFgmC7Ac7Awq4FMF+p5VStYpQsCjOX9ddn6jdg8s4B//6+fBG187fp7cfn197rgPlmyZP0tySRGxMJH9OVf+0swIE8cSs4gX11W0gLQNUAzU3NYSf29PpOq/zAOAtS9+CZrbhzv+vD3kED94xj9Ngjo9jYRsSp6+EC9t4XzXmSGaT6hZlgH0N7ueNXGIw6Atn1kbuR6DCAWMMYem9s75+p/LZAq5As0n3Zu+ew+6LZAr1u1wljQx6tJ2EDdXByo7HRXglVr4tKOrG1MwbAHwLlPDWZZCTePTaaVLpYIgBY+t9+/Q/Xf+NBOfOLr3R3zDj5gkkkrHto2j2tv2oQTnvZYPObAVWYOyZIl61pihkfFDGCrYtTqB0ACvq6pwBIGGqbnlZT0+DJimNtgj871xEwmU8RSz5ltqZ2jxjEBL2CD1Ahm2NKx+ht16P2pTyJ2x4cfr4C18X7NB0YfuHIMoy3OQOvteVsrx2qghwHdhedjMeoGY1sU9b89aUW0/tfoa84mO5phcwvoyMVwDlCP2XnPKoknfWJ2zZPWYnWback0e9Ee210vcqEffd8CAdBjTRtA07wfJovzJGD+zDfvwBevvRv/+LHvBm18d8PDuOnOrWaMZMn2R0tgeETMBnz2e0Mg5rc/SJm27rHCAJz6D333HP9L26K+1PIiBBqsLeM6vYnCQGyyeI8M5I+BDlz0OBaAHsbHA92D+9iVJmAct4GL1QccQFvjY8eJ9XE1wzHMsARiJkh1fCymu7Bz6zchkTlYIFm2Ea0Z7tT9abHOsbv9eXWGTabaA9BmFY247al5Wzropxt9SGNsMvFpRwJoygw7X9Mm6Jb9/r1bHwYQ1ka+/+FdeN+lP8K/fvpG3Hbfdnau3clx5wOzwYQmWbL9wRIYHhGzZBIaQjIXVTmPzu3Fdj7gGwSM1z7xwLY8aYHx7uk4EETbD7Wv3JdaX52zx4BH5uzlUFemiPfx9OF2HP5XOxcwwE7d5n4SDl8zbOXMj3PAZ/gYOcuYNCe/moTIwQDQ1iI1AGSBo+NjAEuftTaApKP/NXe6M+QLsbpg+u+iKOLLsUUA6EBnTCYXHOjroNutaW1JQJzJzbIhraDHQ58aXFOQ6wJoyiaTuslNh02mdscDs9XrDRu3s3MXX7YB77j4BrXsW7Jkj3ZLYHhEzGLxdMkDf488YTEPA7GivWMWeLV87EV3ImDg4yWnt+W5BD52ePN6fJ2xnoOXWz9tslpRwwL3xqN7eiyMI+JpPpHMMG1/mIV6sSCVAWijtNogZd8GlS/QNqzFeFoOlg/d7MP6zFvMsPw80v5w+80AphZr7Vem0IFlAPoNKQT1kd8V3kYbVkWPGM1xyIBTmYPuE8bvL62QcSjopXIKD0DT9hYImxxrHqD/9g+71SrKnfUqn7zAp79xOy5fv3HgeMmSjYqlBXQjYh5wsN5rsWg6SPWZVDuc0pZT6aIrTbZRXW5E0o6aYMdgHrthLFAXAR6NMRgmziCVIQpxXmtPnvQW4/XbXGMgzXDu+RRAljmgzgZoNnOvt6Wfi/HRAayvZxbtGX3gxSkBUwCqWB/ouVkVKOQQuGy2MSHwSriZJeSGYZNJnGABXQ+MxgJb+t4gPpUsiNJq5aJQn5mO3cREP+eBYUta4flYNZD7AejxsS7vRXfhc8tjEPvRnVvx1eu6QPiJj12Lox5/EDu/1OpgcrwZ1VayZCvVEjM8IhZIAXp/BwFicJhMFCpEdVnJvCgGWqBVHvOYVB0nG8ywiGf9WzsXC7boe4PedABnId4THtdy0wP5oLt3zjjuTnDMPgh9BtUMe3lb/ekthrMmEfSfFvtpMbnytRfHY4atDUGsLY9pXFty4YxBwICHOcpr8HXTOgC2WV4PPBog1VlYNwyAtthpb9GfWdHDKyFnLhS0x7ptMMhS2mFJK2hlCpkbB9A6Ay012LTU2zxhk2U+lt31YC2t2LRtnp377DfvwOv+5apUAznZyFsCwyNiJrvlAjF+3NOR5taJ6rweSJcv+CBRB6s2CCiM1GyQys/zczqgsKQD2nt4xrqTxZhWTTg+g7DWQ7G8wrdqy2H0rT6N2hAkEnCuBGbYZMA9xtYC0A7LWo21AdD0SZnfn0HOEZIH77Vsr2Pc025ptVxnedkCOqPSRcjy9t+ow2N5rYV6LlCP1DmbG4pQZtoF0HHVKDjoJf7GcYDXMKaLACkYpwBcGs1TbiLy5f++BwUQ1ECeX2zjnz72Xfz7l252iYxkyVaKJTA8AjaIHpMeC7jegp+X5zzmUQVv+mG/YoIBoD2g3vVRThgA2l8oyFyD48MsoFP7zZJ7GMCJtyfji9zVdmV8Hk/LYRBm2OpTv99kNtJHj6/H0eN7bLINUvWYbhyX5e0PEi2garGv2v1hbtQRAcZ9cK/nbAFYt6yZcc7VGVtyDCeOldsgi/tK0BhbG9nbKMSsp8yYYXk9FjOsg2l5ztIZS9BvSUX4Tns2o25tQuLZt3/0IG67bweuuWlTUPbthls2418/9QPc//CuqLaSJdsXlsDwCJgKgvqAR82vcJys2bvHSqIwFtD1qVqh59zHZyhga2WmsJKVzlhLjudYmr9JheWjH6fHhtMzG0BIHzY3ziAl9lypiAESYzTDIXjz4+s+vTi5F0cfnyBnpd3qnKEz9sC9uVDPGWuzDyLie8xsYYA3ixm2gL0XJ3anPfrvYapWxGqGAcJAe3IMowKFu4W0sQW0B6DbBustc142JBQWYyzbaJs+PA5lk+k5qlP2ajU/NFPLKeYW+UK/8z53E266axve9ckf8JjLHXzgiz/Gl/+bL+BLlmxfWALDI2A+eNTOQT3nM5k+eDQx4lAsrx3Iuh7vOmO1ovyc3pYWyJRQ2L8FEUAw9Mmr9+hhNE7GBG/GI20vBzc3E8Dy89o5e0IgY4S5yPieZtjOTealgz96zpuQhCAxD3LpHic+/FR/ZlgZbNMnatzk8fA9NGc/NwcIxsoX6AYYkgHulMBWgEeWpy5tsJhpLzdPviD7o7wPpE9u5BYvrSjU40FuBtBmOmPRN+0InxB060DZ0h9Lo7vrWaXidswts39f+f378N8/fgif/eYdbEMRALj57m348Jd/gq07+PFkyfaUpWoSo2AGeO3+1c4V6jmdxS3PFXpbBqApzw3CpFZx1B9tO8eibjJoS/OxJgPsnHXcyc0CTjrglC943GGYYY/RH4SBtq6nug6v3ySochZl7mvNsAlsnc+BOfEI2GR+XjtnyRcGAqmOTKLf4j5LWtFoZm5fcwZZfw8Qt1AwluX1Fhdam5hYi9lYHIP9lf6ej1t2LS8w1swUH519ZVUzZFv0nFX2TcYxgDLbNU8yw2RQmY8jx7Cuh1WwcDYhsdhkT5t85/31Qr2ZnUs45KCp6t8li9zKgT/+3WOq43lR4Ns/fBCPfcw0jnz8gWbbyZL1s8QMj4ANwu7RY+E5H7zpQLQ/2DFz084ZbcEA8GV7nm46fH95XvPxAacGKKyAPrDt/g2rPDh9Y/r0jxNKRbw4/ripfdCHmfUf61s+agjDRx83znDq7Q0FoCVINeIzH1nlwQWpYS70GlQAXYJRcYPELWLUc3NfB7n5YFy+Boj+15NJGO1JljdGphAC6P5aWpexNRfd2eA+RjLhnYspISd9vB39bDbZ7pu20W/Wa5kDyDo7KrnYOd+CZUttY6EfeX31D+5nPt/+4YP48FduwTs//r0AaO+YW8aP797myjmSJSstgeGRMBsEDaJXrf+pA0u/LSWrwvAJ4lGffgy0HsdjRS397yATBe/r0mZsvZz3pE95nYqPMcHZnftDZzL1c/tKMxwDbIdbdMfbq2v26iBE7RszZxtA9wOWKoAufSJLq3WP8fdIHynh4BUwuI81njFSAE+KYAHogK0s7DilNGCghXrFMHEMHwOkDiWTYGyyAKm5zthy/TGPY2mGl12dsd4e0xw7VSvotVFpxbKzux6VU1A2edFhoC+//t5uvKLA5u2L7Ny7P3Mj/uWTP8C3bnwg8Nv40E7sWrCBebL9zxIYHgHTQVDvrweqBvRRAaHBepXtuYyxAZR1sOWDqsEWdZnh+wIxLzcT1Bl9o+fmASThLNpwgW0AkGxQNShI9c7FLbqTPvxvdXyIOC6wLcL3eNfi5uYAzio3Q1oxyJOdqEWZBqjyQPcw97vFJlt6biCesfUqbZTAbpDNPWIW3VlMZjghGbyEmwVsO3n9VCsaQDuSB6skHZNcOJrhtnFtoY/OALsLAllfUzBMtMkOGM7IJiAUWFN/abTUG92Rb2GpjXs27QQAXHLFrcznh3dswd9ddD3ecfENwb08v9jCxod2qp+lZI9uS2B4BMx/NOv5GT6aU6E31hdAG4AX8OQYdtZ2STL72EDSin5gZ4AvQZ9J1fs6BiDFPu6nPhqw5C+09gyQGrqYObha72EAn2i3n8/uMMPuxCcAtg54rCQPcW3R9w4CoM0SbsZxmndsmTTvnMVAs2oUsfKFCDlGuE2y7RNTZ9jc3MOpQGHLJOJqEwP1mIY+/RlkX/LQ/7W8BnMTkUigbumUZa7Wa+lDP5vNZg1sKQBecsAwvQ0ogKbAWLLeF1+2AQCweWYB23fVi/iKosDZn/gB/u6i63H9LZuDWPOLrSS5eBRbAsOjYBZ4hc8GyV9nDzzmBkj1gBiKfsDJAKmKj8WKds8ZANmTQ1jHTVClhmC5BT5OCbk9WY4thk0ejvnTjw+yeCsqN2MBmxfHGh9roiBfs/iBj3edlk//nG09deAy1ETBAqklGPXvDz2OLq3Qc7NzDtuV/x6sznB/yYO5051XvkyC0U4Zx6taEQmgDfBIzwUVKAwm1a2AUehxPJ1zm8WhADxOM9zqGP6uHINWk4gD3XRSxZlhu2oF/cGgoHkhEkDPEanEzvkW7nmoyyZ//tt3MZ9b7pnB6e+5Gv/66R8o7fk7pCYbDRt5MHzLLbfg1FNPxbHHHounPe1peOUrX4n169f39bv22mvx8pe/HE972tPwjGc8A694xStw1VVX7YOMBzddP9h7EQHiSqtcVJ8+2zEPpDMuzNSKwgLWNkBB4QMXrUFTWiH+ypwHkxWY4X0WXonv+ViP+2lDVm4e0219gasA2jhXT7Ds9m2Zgh3bBmIScBJQZZwzK0MMAGx9GY8fX518lsA2mCjYcayJj8XYsjjSx2CzAcLmGn3gVwER54aQSfTbXASwAd9A0ooiAqRGAvUoH0dWwErNGSBZXkPb8Jfxrd3pLFlD8D4GbG2W19wRL7d9Wm0ddNNFcy4zTF7T93kAmt6vVI9MS8XN7FxiPh/80s0oCuDmu2dY20VR4P2fuwmvf/fVuC9tIjLSNtJgeOPGjTj55JMxMzODd73rXTj//POxZs0avOY1r8GNN95o+l155ZV49atfjTVr1uDcc8/F2WefjcnJSZx66qn4yle+sg+vYHBrVLoqG7yZTKqDXEyQSs5r7Tm41gYbHrBVzFSZOSDRBKEW2PL8jJMeGO4HXAZihk0I3x8k6rnpINXPTQd23iSiX23iwbTJ/K/MWTtX3+5WzkF4R+tdxvNy1nNTQWrpa8kkhmBs9TrU/v0xyOTPlIMY7B5twwLW2rm6yoMNHqNLuFEAbdUmdgCnubjPkzyYJdz0tgCHGXYqNsRu1NGyNL8em21uD237xLDJgewj4nq8RXf0o70YqTOmQ8rYZAKGGxnfdppWwZgl9ZFndi7hhg0PY2Gpjcuu28h87t8yh3++5Hv42g332vknWzE20nWGzzvvPHQ6HVxwwQU4+OCDAQDHHnssTjzxRJxzzjn48Ic/rPqdc845eMITnoDzzjsP4+PjAIBnPOMZePazn42PfvSjeN7znrevLiHK6Ie30QDyjg8eTQmF+GFqZHX90UJ7P4ltgV6PFbU0yB4I0dlPneWta9zqwHIQsFUd88DjAG1V7zF9nDiBU+mr+eiBYkB3eNzOzWZs7TZNAOvIW0q5jjy1O6DOAqmDLDhz5Qt9fQKXCNbcjmOz1jaADic+dr9V9YQDoF6wNqvjvXNZlkVfT1QJt0AzrC8Yo+/1dMamtMLT/w4BbE3Q7bHW4nXZn9E73UXkDHAwy7ZcdlheuzSb09dGBQu5gK5tsM4egLaeRDBmeMmTSRAfQ2cssLDwqfOhFSluu49vO/2h/7oZdz24Exs2bsf/c+zj2QLBz3/7Ljy4dQ4n/6+jccDqCTPXZPvORhYMF0WBK664As985jMrIAwAExMTOPHEE/HRj34Us7OzWLt2beD3J3/yJzj44IMrIAwAU1NT+Lmf+zls2rRpn11DtJEPYvcDVbhMps1+8gMlsO6+l5/rRqkb0Rc77bkFdIWVdHlIBcnKMXLSY4wtkDhQVYTeXy1O/1X8DqgaqjJEMNgsx5gcYtjPQYCYBUb7xdFzLn3044OAxxjQP5j+Vz/nT7z0vGv5RGh9N+pQbkQzjnM9/dhc6zOSZfaEwBo3IATdliyIti1TGGaraLNqBWkkFthG7XQXyYqW15Flmo/O0lpVJrw43qI7ezGc3TfWQjlvAZ0lu7CYcvnvjgHoW53IRXeMGa5fZwIN0zgWgKYLAAHgrge7+uMCXdBcgt4t2xcqTfJjf2oav//rT6x8Htw6h//6zj14xjGH4peO+CnzGpLteRtZMPzAAw9g586dOOqoo4JzRx11FPI8x6233orjjjuOncuyDCeddFLg02q1cM899+CYY44JzklrNDI0Glnf9+0JazYbDBzQxzdjY41qBktZ3kYjw9hYQ124NDbWqAqiN7IK8navqVmrZhqNLitRoPQJr7fRaDAfajQ3fj0Zmo4PFJ9G0+jvDL3r1HwarOxO5VL5KNdjxMl6/SmTK4oCY2MNNJpanEzNrRyDTInT6PloFzQ21lBzazTL3EQcFL0x0Matl5sRx/MJcuvlrPo0G7043Clz4jSb+nWW4yZd8t4YQPnty4zcyjFotO04MlB1DUrO9f0RmjXWZW7Sys+bOtbWPVX6KJ+r+rtAz83ra+t6zPuwGcapx4Afr8YN6i2l9lte1HmZ965Iu4zTbDbCyUKm34d5XucWzC+M75yC5CbBm/ldgNonyK1hxCE+UvJg9Q0dT8kmV/HlBJzEkcC07hvx+wK9D2h/Btdj5FYU9vUUAMaVfvN86P08Rr6vlzt5dY4C6IbzmW4THyrNGOt936k+pA92LdYA+sd3bcOLfvOI6t+f/Prt+NGdW/HdDQ/jg3/1P1kb392wGTt2LePZv/K4QMYxKlb+9lsY4JG0kQXDW7duBQCsW7cuOFceK98TY+eeey62b9+OV7ziFX3fe/DB0+oP+d6yHbtqMX+zmQGt7hfsunXTmFzVZbcbjQx578tkavUE1q2bDtppNHo+k+N1W73P5erVk1i7doq9t/vF18S6ddMYH2vWcXpfQAccsAqTE80gzvh4z2c8vL3WrFmlPhYac3wOOGAKaIZxJibGsG7dNMbGwnMHHbga06IIOwBMrhrv+YQfxoMOmsaa7Uuhz2Q3jpz5FwWwbt00pldPBj5TU904EjiUYzA9rfisnuz6iDjlWE8pcVb3fCTaaDQaPZ+wr6fXrMK6ddPBD1M51lNT44HPAQdM9eLw4+M9n1Wqjx5nvDdu5b1Lbe2BqzE5Ho5NOW7lvUvtoINWs4U4pa3q+UxM8HuqQHfcmkT7V/tMqD5l/65Zo41B12dc+JRj0FaWZkxPT6o+zWbXZ64VXk85buPifi/HbXYxnBGsWbtK/YyUn9FC+Vx1x3o1msJnYrLbn2t2hJ+RAw9cjYnxJhqNhuozPT3Hjpdj0L1mHqccg+npcEFS6SOBcvmdF3xGep8dIARvq3tjID8jjd4Y9NyZTU+v6t3v3Kc5VvtIW3OA7lOOWzc37rN27WpMTY4Fn5GJiXHVJ8+L6rj0KT87XR8CHlH3p/xcld9fns+E8Fk1Vf/u8N3oMtNnda8/AS59aZK+mRDXM7V6svoNobmNjY+ZfUDHhn4nUx+aW1EU5niOkTHIyL1bfqY0m1xV9022qb6vy9+w0n50ZxezLLU6WL1mFSbHu+1vnpnHez7zQwDAIY+Zxgm//PjK58Etc/jytXfhmb/4WBzzxPop+Uo2ijVWio0sGF5e7v6QTUyEP/al/GFxMQRDmn3yk5/EBz7wAbzoRS/CiSee2Pf927bN7VNmGOQHpoza6eSYmZnDQk+zRNOZm1vCzMxcsINUu+ezuNjqtVU77dq1iB3b54M4rXYHMzNzWO6toKVXPTu7UH1YqS0ttzEzM4elpXCHnx2zC+i0wpW+y5VPeG7H7AJ2zYfAZXGxxXKjtm1mDrOz4fgvLHR9WsquRttmdmF250IYp/IJH2XOzMxh564wzvz8MmZm5lSN3MzMHHbuDH127VpUfcqx3qXEKX2CxSy9cZubC4HL7OxC7/7gv8DluM0pIHH7jnmsXdUMHqcuLbccnwVMjzeCx+DluC0oYzozM4cJZaIyv9Dtz/mF0Gfbtrng8StQj8HCIr8P87zbn7NKznPzS+wzUlrZv9o9tXOX7tNqdcdg+/bwnprduaD7tEuf+cBnx455zMyswqL4XC0udcdt+47QZ/v2eUw1s+BztdAbgxnlerZvn8d4VgSfq4XeGOyYDa9n27Y5TE40WRUAAJjv9af8XOV5gZmZLkCWcXb1vr9mRZzyswMg+Pzu7H0O5OeqHAONGd7R+xxIn6VefwIIJlnbd8xjZmYi+CyW/QmEuthtM3OYbCDwKe/p8tqobd22C9OrxjErciu/27u5kc0sOnV/Sp9du2ofuhitvNc0n9mdi6pP+R2h+WzfsVCdY6XRSH/Ke2fbzBwOXNX9DaH3Du0bee9s3z6Pdu8zsEy+k8vPrpbb1m27KjaVjmn5/Sl96L0GENlgL+fy3DbyOe0IH2oPb92Ftb3r3LylBsNFbvtsemgWa6e7+OaOe2aq41devxG/+ISaBPzgpT/E9bdsxtev34j3nfmbddtFgY9etgF5Afzhc35+n2EWz5rNBtauncLs7ELwm7W3zJqgSBtZMDw52WUAWq0QcJVAeWqq/+zjve99L84991z83u/9Ht7+9rdHxc7zYt8W3yb0RMlI50WBdjuvdFuUKWm3c7TbuaoJbbfz6iakrEenUzBAUbaX52WcWk5Rvm61c/a4pqsZBIq8G0fTFrbbucri5aWP0q/tVkfduajMTYvTauXBD0z3OnN2PYGPEqed52qcohwDJU67U/pA+PTGx/NRNIzlmAY+bT23vEBfH02val6P4dPpOD6tDlqtTsAMd3r9KbWNQBe8ZMpHy4uz3Oq4/Sl9yjHQ7sNO7zqtRTvtdjiJarc7apxy3LTV8GV/agu+rNyqsQ40lN3jcrIGdMGC6tOxfVrl9QifdpmbMpFcbnXQJE+NAh9xPeW91s1f+JRj4PjI+z3KR1zq8rI+1uXnvfTnPh31espxA8LFfeUYaBNjK87ScgeTY80gTov4UPlCXhTdz06WMYAIdL+nax9ewq087vqQHDrER5Y8W1puq7nRtpYDn/q7nZVZIz7yHl1a7mBVj4Sh17PccuIsdSppBffpqD7l92dp9Hdvfqmt+rSUMS5tfqFVnaPETiPLTJ9dCy2snuxCtB1scxCeW7lByM75VnUPAMAd9+/AFTfcBwB4/E9N49m//LjK584HZvG1G+7Fs5/+WPz8z4ZP1/e2dTp2Xz1StvKEG5F2yCGHAAC2bdsWnNuyZQt7j2Vve9vbcO655+KUU07B2WefjbGxFTo3IN+TFebtHSu/dykoLcRfqzkq9cgLvhiubE8uwGFapQKqj1w0Q+ej3cVwYWZysRHz0V3qY+qFFn18tJP9FkiFGjlgsEV3MfVqrQVnmlmXE7N4y1qg5F2PvYBNya2wFvD5PoNUhqjiKMerRWK5PG73jVVpwlpYx8/FtUV9YkvI0fasHeCsnRi1vKOux6gmoY+BFUfva/bo3fCxctZy67foz8tNgmRvpztrS2o6EZJPQspz8v6IKRUXtmXnZpV9s2otW5txSB8JoC0fa6Fey3gNiAV0Rj1kb0MQsx5yMCmjcWjbBLQ7G4pQs/rQq4dMtcW0GoVGypRGgfYceYI0pqxRqXxI2zvIk6+7e1tTl/YfV92B625+CGd/4gfseFEU+Py378J/fedu9Xvr0WwrFP31t8MPPxzr1q3Dhg0bgnMbNmzA+Pg4jj76aNP/nHPOwac+9Sm85S1vwR/+4R/uzVR32+gtWTK21Q9f7w99AtLvB6gC0PKxCXl7eUr+AFJJYCEAJ509Uyd6XPqUj5/qOrZhWxJUVQx0VWsZgeWFAUJKn9ClOyGw6sEBJgjwwIFszgJB9Jj5ox0xiSjNqxawO7WJB62OMUx5O2+iYFag8PpTWUhK/7JzRtk3bxJjVQGxSpFRHwtwej7yTA2SldzKShPmd4ETxwCC3iZApo/Ireh9PjOy8FfGDycXFAjK9vz+1PI2S9V5FSiM3Pj20nreXmk1s9ayk1tQhSMvgKaSs1hkpsY3fIqicLaK1nMrn5jV12KDzPLpUC7jOD4sNwMAW0A99LGqa+TV/VkUhTkJsDYXkUZlI9R/SXnKUhoF0BQMe+uVllqdah0P3V1PLib/SU92Ie+7O+6frSpd/PRjpvErR9eE4u337cCV37sPJz7jZ/CEw9eaOYyqjSwzDADPec5zcO211+Lhhx+ujs3Pz+Pyyy/HCSecgOlpXStyxRVX4Pzzz8ef//mfr3ggDPAvMMnY0goS1fsrP+4jT9DPR17wWr6NCnRzYwx0oZ+TwCETPl4c3SeOtZbmgSqLrfOBoN6ez77GA04LpPnA1jjnAc6wGRHHvh4rN4thHCjnXnv6duF+v2kTIhf0mgC6Pi/zonloPia7N9BY93y0PqiApXVPOddj5GZNJLVzXmm1Gtwb8Z37UPpYDDhjk83r0cdNba/PREH6A045Ng9YGj4cQItzBrhnm3sY7XmTCKsesTUh8CYKVtm5LqlA49evQ2a46OUipSoEfBol3GQcq7YxPRf66HEK8Pud+rQjwHQgF2JsNNVgU2kG96FAmUpFYhnoXQRAe9Un6GfzoZlaA33nA7PsfZ+96g78980P4Z0f/x47nhcFPvn12/D5b9+lfjeMio00GH7d616HqakpnHbaafjmN7+Ja665Bq973euwsLCAM888EwCwfv16POUpT8GnPvUpAEC73cY73/lOPP7xj8fxxx+PH/3oR8F/peZ4pRi9vyQQlMfpuQoM90a5+vGpjnPJA7VMAOhKviBAKge2vK3yDJ2VBmW2JLCtSr2R1AqeXgWgRZyGI/ugx6kvtz4ASXsMbcox9Dj9AJoVh56nZjO2ZX52OyZQd3wGYZOtOtT96iarbeU8nmxvENa8zFevy2uNm32d1j3lAUG7BnLvvMbyGtfjgW6bZeW+LAcDCLn3riHVcAG0FceQItA+sUBvMLnwpAhlfxqSC8/Hkih45zS9vRnHALYxcSzQrYH+MieLtQ4kJAZLTNt3NyQxtsQON/Bw2OTev2O3kPZ8GBg2zrWdzUUskBuAfmNL6pbBoAMc9LYMNllOSJaNusnUR94Hi2wba1pejr0Nt967vRtDaLh/cvcMLr/+Xnz+23fhR3fwCl433LIZ//ix7+L2+/mGJCvRRlYmAQCHHXYYLrnkEpx99tk488wzURQFnv70p+Piiy/GkUceCQC9xyId5L2bZtOmTbj33u72iC996UvVdr/+9a/j8Y9/vHrukTANcNYSgRI8Mp0Ee09ZT7j+MqbH6yMcdJdNcYDEGGjxRV0Ddf7lL4Et/Q5tNAB0QrAhZ7IqM4wwTrmJCAoO6pql7ML5Qe9KK8Lj1qPz8ph1nPrK6/D1qvK4Hd+6Hv+xvu4jc9eOWY+nTcDp9Y1xTgVOuzMGFoAOXUwGOEZPHWrKdUBD32uPmwYeeY79cu766O1Zx70cLGkHyyESPNL2zTjGGKg+USyv9OG5y7b0OL3jDmttglQvt0C3nKtxKLCWXWqBYW9Tlk5eYKwZSlXMnL3JRe/fIbC22Wxr3LjkQebWW6joapZle7oPBanhAscCE+MKM03iWBuFBDINC0BTkCxAN9dQ62BYAvXFCDmGvM75xTamegv1dpLFfZ5umtq9m+vqGJtneOWPi75yCxaW2vjHj34XH3rTb0W190jZSINhADjiiCNw/vnnm+ePP/54pit+/OMfr+qMV7SRe1IyqZpmWIKdTDKpCuAMpAiGfEGSyfRLrMot8BHMsAZshVPI8tZxJQNd9UEjAzr0x0LmVgTAhZbM6adXtaUV/HooUyldapCsxdHBgRu/+juAT2ExtraPDZB4POmzpzXDlg7cZ1/19tS2DEbOB/D9fPT7huY4SBwLPPpx+PF+fQOEAM2XfRj3e8Xohz62HMOIzwCniFNOlgaQL1jgPmrRncw51197caJYXnMSg8AsYGmB5PLcmKIztgA01TDb90f8GJg7+hlShO657ntDZnh3fcS5PKyMIXOzXrvbThust7dQkAJjWoJOMtBMWtHWwbD0WW7rzPBSS38NdCckzUa5WYk92VlQSqWuVBtpmcT+YvT2CtnX7vFwly0K0KD7CJ0xjVPWIJY/6I2GBNAktwB0F0ZuyvX0/q1KOAwf+YPOAbTwEYx6ocQpwPut2dD7Wso+2PgEeYsfU8FmU7OApfUD3D1mADHx5IC3Nxioo+fs3AaJw/9Sy6H3jdsH+eAAWk6w6HHNJwZwDidfMADaAODeY/76xnF8rEnZIJIHN46RtzcpLIz2LFkBbcJ6quEx0CawNa5TzduSPBAdqzQLDLeN46y9SPaVnTPkEJaERYsTs1W1qU0OwHBBXusg0QPQls8gW2LXMgldcgFwIFiQ6/BAt7VVdWxubAtqkZss9VbaknFc/tuSY8j64UvL9fsom2wtFBwFS2B4BMxlbCuNrWBSiX8gOahkEjQGaRQKeOwdpxt1FBA+EdIKolTg1yO+JOXivpDl1a5Hbt9a+zQNoC5lHzSLkOkugvj0B7rbXn2dNF6dk36ctj8QM2yc8wCn1HrvzTiDsMy1j94W9ZU5+HHic7Oup2Q4ffA4WM6ezyA64+p44GGzdVV8TQdf8HZlnEHG1NWUWxMPB7yZE48yZ4/lDc6F7+m+T/en/x4sjuWjvx+wgaUlRaDHbGY4cInw0Y8DdqULT3ZiLvoLWFniY2iQffAY5+PrjHsAOpBJ2Av1TNBtMMCW5EK+j0ooLPAK2EDZk0nI+s6VjwOgYxhoWs1iFCyB4REw+p1j1RlmALGoz9Nz8geY1wwWi+GMBXRMVF/0A5wi595BFdyLOJnQY9CvnNKn+twX/DhtR15PANRdqQi/jkIc7x4T7Lihm6bXoh6Hw/KKnNVz8gfIBZz9wIl+TrLgPDcjjppzmaN+blAJhw3ufVClxjeYe1dWYLKiUI/TYyb7qgTqOyHxmGHjkba/UM/wMcZNjeOMgdU/3v1hfkasR/QUpFrgbQBgW02KjLa0z0hu+XiTi7I9Q0vsAWhzrJU4g+qMo8rOGaBfP1cw39Jc+YIBOGNqE3uSh5YFoJUdQe04Ra+tOG2yJ62wALTHDJtyDAd0002B2gzY2qCbs8ZxAHqlM8UJDI+ASU0qPVaeyVBvVCHBQc0m8x+5TMgKqNWAk/sE+l9imbmAjsQB/5Gt2GQpX/DY14ycIDlKptvXM4e5SZDYrKlu5tMMfIrAJwTQvG9of1eX2g/sOCCkHlNxPHQJmPb6uB4f6I2b1pbIg+fWr9LG4MBWa09KYmqfPrk5gDN8dM/zkPG7f6WPnbMdp3d/hC4mgPWAej/GdpBJhAfUqzhBNQl+Xs3buB4PJNoL9eT7Q98wjh5fy7svy+tdp+xPZ0JijUHH6ZtBWV7AlmpYZdoKOH0QwSZbcbzNRSzAGVaZ0LW41GcoZtipWhFIKCqdsQfU+etyLK1Ff4C9mM6VcBg+rkzC0hlLZjii0oXcedOrqbwSLIHhETD6EbEf3YfnSmsEAKkEgiIOA2i69tXT2IYSjjK+1NgqPgJs8EoXBbuo0KeXs6NntvS/crMS2ne1NhnCx9YM12PA4zQbsq3aqyn7TcSRbCUn2vm5EMAjsIJ3p9KWfs7X8uogUQVbJA/dR8+ZxpM5+AA6Prca1FltKbkZlS68x+CWnthnwPVzFUhVwaN+zq0mYebW3ydkUp1+sxh1B7wNCrq5/lfPzQKp2mTO1CZ7TLvB8lasqHN/2DnbcQap6GFXgHDGwPCppB3GeKq5GW1Z9Xu7/9blC67+t6wmEeRsSx46BoBmcQwQ75Vjs6QNIZOqX4+lWe7mo7O5HQMky3/zxXA2gOY1kMlCO09a4dRHXgmWwPAImPvovgSCWcZYQQ+k1hUopM6Y+AgAXR93FtBZWzhLyYPnI66zPJdrPvxyOGMLvQ/yII7N8oZMNz9ex6lzs7TJARivXRS2v+w38Jy1+OJccJ0GSPTA1p5aDGcxw/01w/pxO44NrOnfmNysPijvJ0/HGrsQzDtnsaXs3ADA1pbR6DnT9w5WJo23G/iowJbnGMYJXEhu8rgPBLW8rT6Q3xFae3bO2nVa46bnxXIzclYBtBGnXzUJACEzWwJ1JTerbnJutRXBDHsL6CyWdaDKEKV8IRJw0n+720EbUoBYmQRQX2sAks0KFJHSCmN3vBAM6wC2beiUZT4WM+wB6JVoCQyPgOngkUPBLjOM6pznU56SOmPPp/xu8ReP6ayoX+XBYmylHIPEseQYLlCvr5P5MADNwU7A2CqLFbtAXekD0W8Wmw3UjLYEb55um0pi6F8JulVAIeLX1+IBzmHKpNnHzdwKK37po+cwVG6qztnrA72tvovU3OvRjw8GbEtAEcbpD9603Aa/nn4aaP+pgjzea3MAwOeNQXl/yBSs+D4zredmgXGW8yCMreUTwdgO4mNVpyhrA6s69H7MsBHfO2eNp+ZTVZNwFqmF5ywfT/9bMtDiOiMA9EBxIqQVXPJAjnuL7iJrIFsyCQ9A0/aWDTkGLdkGJDCcbA8YYytF6a4KpJL/S7BjgiohEaAWSC4IEKOHqFcgx1AAJ9Bna2UDcGrgUcwHFJ0xyc0AiVL/q8sxOAgJ+o31Ndh7y5MWgM+yENjKBYFSitB9CkDHuoZ1FjsflINTQL/HJlvyBclaU7PZ114fGGBUj68DQQDIoefmg1GDtS7ZOpUxHWy3QZ9JNUCqAQ66x6Cec+UgFfsojzs+RpyoEm4m4Atc+j7WH2xLap67PDcQgDcWUbL4weSijKWMtSVVKeN7wNbyGQZAq7npANbSH7NzscCWfKZDPbEhXyBt2E9P+HEmrTCYYeu4fE3f69cMFj7WAjoXwPaPQ33yoqiu3fUxFsYFzLDl40grOpYP6V+pGZZ9tdIsgeERMA3YVvdc72+WZay0GV88BuZTEB+KkznDydsvz3CJQD+ZRHm8fk/OsWMUm1wABujmX76unjnQ/xZhnEJnk31gSYAtwsodFehu2rrgsNoHjxOOG18oR/umafVnwGaT6zQXWIL4DKcZ9rWvwakgt9BHz8EH0Hpug+uM+8gkTJAauEQA29DHBN293xztp6YfyzvIYkVN4iPbC3Nz+lO0K318aYU87vno42YzqfyvHsdoSx1r/VyUj6EzdplhAzz60gq9LVfPLOJ4coxBmW46QbDZZB6DyTEsNtkA47qP3gfe5h7WRh0+gNalFe5W0bkhxzBLuOnAWsZhbLJTws0E0MZr7d8rzRIYHgHTgCAEe6EBscpHaASqH59MbK7BgGAJxASokuwrccokkwrNRzLDdVv0b+b5WAvOojbDKNgfCbrVChR9cqMSEipVoX+tPsgyDdyL6xT9KeNoTw4q0KAw7bKahJzElFsfh6C/+idhs/lfasGkjBynf6lZlS76yxf0+F5uVluWT174P/QheOTntdwGkUmYUgAMAUIMsMXOBaCK56HlFoJ7qMcBmIvBothkC0Abfe1KHgzw6Ods9afTN6Kz/f40cusd17S89fXw41ZlCC/vGGAbgFSn3/oBWAtYe+dk/CgALY7TcmrWJh4hA01yMwG0B2wjtclMptARPkXveBwz7C2g46XaSD1iJz5vj260UR+XMgk5cVhplsDwCBgDO5LhpMcNgBToVcvjIAyjYHmlHEOrQCFBSLCwrQR8gyygK5Q44D7NAPT3fBiTCbcPVDZZfFGHLKviQ85ncnJB/gbAsvc6c5hhq2/oxCcvLHaeA7SmnMRQn2pRJvcJdxvU+pP3jQeg5eK+ahJRv8UBtqWP/kPra5P1H3T1h955RF7kg+10F/NI2wS2Xh8YP/SDyEv6seaej6dxNX1cVlL0gdGf5bFB4ndj9wFoJstr980gYNyaeFjAGqCTJf2eGqTKg7WwjeZk31OBS98JibshSDAh0K/HrUDRB8CruVn3muNj6ak7wwBoKnOwAPQAbHIrgk1mYDivPzf+5h46gA4lD7l6jk4Ckkwi2R43DVBI/S8ow1if7voYDCcIw9itXlYoPgIgsZJrcjtmnlN5qslYSQHuJeAU8cv2PJ9cyS2UPMSxyfpiODBfS2fM5AtSptCsP2qU/czg+Dj1ocV+KZU1jfvDZc2jdMYcoJkbrERokwPW3PGpJT72j7Op/3XAm5ws0eMA9Dq/Ba+40i9OGcMHtqKtUvIwAODzQH+/TSJc9tNg3gaZrATfOUoOEqT1lTwox/tNfNScofeBF7+6d4Oc4eSs5xYzuRiotJqRm8Wkejl4Pv00w7KEHD0XPAUwwHhBc4ucrNB/x5Zw86QVlp7ZBbZGHLajntGeZPspGLWqbfgAWgfKPjOsSyPczT0MPXKrJXySTCLZ7pr+SFuCRwCEldSBIAchGfl/yDCCta+BYQko7IV6DoA2KyYINhmhj/wNySRjqwLbgrxDY5O1OBwESNBdfgl7LK9kZitWNEIzLI83CAMtJxdhaTVUPvw6ax8TpMrSe2oc4RNMfBD4SIDkscmyD+q+5tfjaXkHAdAW2KniKN/ndW7KOaOtqt8EuLYWGvE4OgjwJgQha937q8okrDilj3I9Bjvdb0JC25Vt6YDPv85BALQlRfAmMbaExL7OfuBtoMoQzv05jISkbwWKAXxqAB3eVH23l3bixG7hzLaKjvSJAdAeax3LDNMFZ9FbUjs+7QgJh12Fw45jbUISu7mHt9Ndkkkk222LAakAX0CnsWs14KyPWxUlzEf3AeCkuUUCMXJtTQGqNC1vCPhIY8TXYzJlbhWbLFhJauZW0YbkQJa3o758gxOuGS5bKwFnmUXIWpdxpGa4bjksraaMm5z47BGQ2jtuTBQApySe0DPr7Dzvz6bjY4F7CaA9bbLO5g5Tws1nhqWL/Ozwc3ocd8GZASyt7YvpsTC3/j4WizcMULekKoMAzjL2oNKK7sTHA4JhXjR33pYPqnwJCT/uVXnoq/9173fh4wD1/tUkApfhFt1ZEywTWIfvqf5d8HgyvnduEDa5BImD6Iw75kI9OzdrQaDHWluTFd4HHBiXfe/VWrZKswVsclu5MVaQJTA8AsYWqZn6UvJ+AVyCTTdoW9VjaH7OWrwV7tgWAhdUDLQ8jpCxrUAdz4NLlnU2OQTdHrAFe7PGfsofTZMZZrrpugcyZIqmuxenQWUSFEBLqUp4nWVsBqDJfeBKO3p/PamKnJCo41bozLAreSBt0XNy3MKyb7VPuDufEkfc75aEo9ngUhX6VW2Vl6O3IdXdUavuXYM19sFjoR8fAKhX1xmGH47JtHLrw9jSHIOcPcA3QB+YLG95HxqP6AdhX8v2PD21yc6rbfG//Y53c+I5Sh+9ykPv3DCTpUGAusHm7haAVsatH5tsMeDeuUF86s+17WMy3QMwwzbL6wBbc6GeHacEp1Zb8jVtw8u5YO+3ZRqJGU6226YCW8lqUIAkHr56lQzoLmsa4JQgJHNASByTqld5qOKo1Q+g5sYSQTghYGyhVfbNBW/1cZqbtdMdZYblhMCq89sQwBZKf5axKYDmTwFqn6YA8FCuE+gHoJXrLATTHsUm87GOY63lZEmXY1BgW0AH6qGPE6fMTTCZbr3r3l9L8gD0gJgDOAeRFQzzuL0an4FAd+8vZBzuK3OQ4019PN124FOOgSHh8LXeem46gPf6oA+ADkAV1OPUJ9AZRzHDYtwiWN5QM6yDIMAGsB7TPmidYXrOqiesgftBWWs6gbH0v4Ms1DPBOMnH/PwOwiZbtZY9Zti4npJNLorCBORmW8pn0Wag9b7x2GwJtFeaJTA8AqYxqdW53l93O2ZDppCBMF+GT3WoBAcRi9RqcNA77pT1klseq+DNAi7Vl2XoE1THiMitEGgnrEDh90GWZaaWt6wzXLbH+61sX5cVVD6kaoV2nOXcy60EB6H+l8TvActgQaIzbiGbXPT1sQC0J+FoCpBa5jaMhCOQneShjwRvfNyEHKOpM+qhHAOBFSKOPM7vXXEuALZ1ftKsx+0VsPVKq0kpQB/wqF2nK5PI/eocapzcB7aWlladKJSLFQ2WdRDW3J+Q6P3WjwHXzrkMeJ+xdhlocS6uZnC8T8cYn5wAscCnD+j2FgTGllaj7Ha0j8MMVwA6mCz1j+NJHiQD3K8Gsva5shb3WYvxYuIEebXz6r6W7UnZxEqzBIZHwOgtZbFeGUItq/TptiXAW/lDK+Jk4hdYBYLgP8ABUC8BEkMHRm7iBzAAnKRdCdRtLW95nAMUK7eiEOynAdRDdrxsCyZjG15PnTNlhjVQJ9ujYx1sfGIw3V2gHuZM49SX2bseyr7KcZO1iQstZ8uH37tMwgGdtZaspNQMD8oMB5OVoHKHFQfEp8H7IC/YcS03S5LCAbTUQDeYj+xrCwTRnEydsQFsVR8H8Fngsa/kYQAg6Pq412NMFIxqEnWc4LDb15Y+vC+ANkD/oD62ltYZNwM8utrkYeIYIDFGM2zqjN37QBwX31Py/VoOMdtLx8pL/KoV/cdaXmq1UE+csMBr95zFQNtPDkwJhxGnAL2npDY5geFku2mUBZDVF+qyXlmwEKs0CyTyTTd8+QIUVlI+U5HApTwfw+LJD7WnM5abe6g+JA7V8tYAuufDcLq/GUUFkIIJAUmCsvOqnroEYkp8A9TVPuUYZGxCoOVcJhcniSljcIAWs4VzXRKvCHK2fCSw9cro1YCT5+btqGdVoIhioMX90QwmBOH4BODeY5NNSYoE0CS3pt5vluyEmgkCXFAF9Vwu+ka2p4MtnjO1ovABmsV+urpcw8cFnANcj8smW31gAbSqLS0+95VtDVImzZ0oGOditLxDgdQBAHRfzbAxKdPOxQBbU2ttXKfWXhVHsKL0c2D19SDXacbJdcYWsIGtVwXErEBhSDu6PnreiRlOttvGF9CVx7pWfrCy6n/kZM8CkFgej5BWBODRW/lvsMkcn/XZ/azgx7vnjLq4cHxA2VetXi0HFHUfkDgxcoxicJaX5tEFtlTaQOPXryl4kzpjLecyBgWcbKwR+kiAJpQqbMFZNfGpmMfwOu3ceH8OVs9YG7d+9Yyt3Mh9GKFnlmDHBNBBJRRyPU3eb1UfBDKa2mnMuA/rtnj87pMDCB/yPaHkTE32W3W8D5vstaWC1LwfSNXBjsXK0r/MpxiMsfVy6zeJ8CckEiB5bfGx7tcWUAOTQes2a+csxpjlNgBQ71cOzQX3exFA03/Haq1jmOEw/uBykBjWPLZMGz0XAltn3EoGWORdllrTpRU5a1fGX6mWwPAIGAMURsWEbpm0+sfZ0p5CgNH6aPm/sj0BKNS2uGUSHKhsIQdicsFZ6ezpLsM6wxpAIuCAgFR6nuYM9MAjeY9QcFSvAg12Ub+/9tEZzjJOzehz4MJYRKPShbfboAUsQ2ZYA3X8BzhGMxwAaGeyFOMT5NaMyE0Al5jd8SRACllrBD7WBEeCGp8ZFtKK3osx0Qca6A4nckI+kdf3h7nwMADjxncBlB96MQb8nAUEeXx5TgPQPptsVHnow0q6LKIBYF2W12KGvdz2IMtr1cFWfVwwbPjk9rh5C9i0trxzMYvuBgKJfcE9n5UV7Jz04XlU8cm1yAz6XucA99QwG5+4k4vynMjNWlgH1LWCO0FpNb0/2TmnnvFKtASGR8A0iQDAmcRMsKIc2NK2JIOUUa/KZPWBGLBDgWCVILTFWyFwkSBEyiSg+MgFX1J3ySQCJD71bTInMB9kEryV8emjc/KDLphh+t1ibWPtscmm7COY+Fg+9X1ApRUSCMbuQMeBIJcvVGxlIMkJc/PkGJJJrXzoNfXJrVGBRLC/btUKgxluOqBbAvVhnjZo97vVB3I3ubByR/kZVRZ/9nwlgLYWnNGnMZJltsCofpznTK1772rHfVClL1IrzwenzDgeSLSZbjtOnhfuwjZTg+1NIkQgt2/6sYWDAPXqOh2fAQDfMOynlXcFXjWg3i83Y9y0HKz+tPTc9L2xNYvpMVl6zJ0s9WHAXR+5M90QDLQluaDth4vrlM5fQZbA8AgYvYU8fSWVNuSmT308pgJFAFI5ycySC6svFOy46iMZW6X6gVyYYi2g88BjvSCQX5flw2UF/As2ZIaLOg7JmV5nUwDonPpQltfQGVOmmY6bxdiquTHQHcbxdbn9JjHaGPSrJtHfR5aK08eN+0hZgSWt4GwyZ2xtOQZqn4z3QTUhGIAdL39MJOim42ZOIpoiTq7cH7neBz541BcKSoAU9if10ceNWl+N7QDSin5SAFebbACkQWUSmh6UvjcAVb3PobebnFXWy5cViLw8IGj0Wwx4sx/RK3GMHFxmuPqMGD5DsKwWgNVY3n7a6GEkJHsyZy0Hz6dtxTFkDV57HuhuRdRNXomWwPAImAYousdrvNU9TH7oLB8IxtRgJSljXP9fqyZR+1jbJEsfjcmUP0zyOll74gddY6A5MxwCW5O1JjpjqU2GlhvNOWCGnXHrnZIbdRRK31Q+vde0hBvrB+V6chKHSytqH1OX61TaiNfl2j45dB/t/vBy61ag8Hz65xYCaN4W4AFb/qMZjFse+liSB9kHjYyW6+M/TNb1NKgOXeQ2JsrBmRIBOrkQ0oqS/QzAuNI38jrHqE/uyyTqyafNmtP4NA47Z8QpRBzZ3uCyDx2ESEZf5jCQzjjnf/k5PTdvgZTN8trMX1/AZ4wBzaXKzQP3QwC+YRnTYdoaRsurAk5jQhIloxmGGRbjYy14o8cs/a+mGTbZ5LSALtnuGgc7/Hh1jgI+r9wWBWKs3JbPelXA0mPXSLkv6hsuBKM+5Ql+rZxM9rf11dhC2VZ5xmMyqQ/Ar5M+Ng63Sa5zYyyv0p+0vfL9VDddKNfZzVuWVqPHiU8AoOs4lFFXGduqrFjYlhVHglT3/hiGGbZAd9P2sUqrxVyPxaSWsbmeuceYigVs4VMA1D7WYjhnwlpt/iI+I0yHnsunDfLzy3Ou+tP4ofXGoGaGaXwB+puCTc4VH+Oz4wJoa0IimEf6qTYBZx9W0trNjv6V53zWWmmvKNTj9aN4vS0LjAO29nWQ64nZRMRiTAeRScQAy0Be4gC+Tp9JzEBPDozcip7PIFpeN34fAK1NYkxm2JlcWAC2Pm7HsTXYThwjt5VqCQyPgpF7iC8E0ysmyC9/87F+9b8ew8ke0YvYFbD0GFtxXGF2Qh8BdlSZBEQf8NRQ+dTv4exWuIBOA9AUVDUoM1yw8Ob1UNBNgSigVAsgbfGNOur2mnxGoALoooCQxFAXUVO6fHIQ5M2Bk8lwaqBOAOiwkgLpg2BRV+gj49h1hu0ayGMB6OY5l+3o11PnLvsgL/QJTlCbuCl96OfKuB7BmFJWVG4Ykys+tA/kDoUqYys2W2B9kwsAL4GtOlHwQb8+BvxHdqxp6NCbIjcGusW9m+tjwHzkZCkn34esDxxQpfyum2xyH8Z0EAY6hn21NLaDXE8/8Kidi2ElB2GTzcoQ3hgYLK+nm+7kOrB1JSkDssl7a6IQbsc8+BhY9YfpsUBn7Pl0dB/tOlaSJTA8AqaxooD4AaSAT9xzQTWJ3isqBbC0vDXLqwAkIzdXe2r4SAYrs4AglEoXShywGOEiIAtAM/BIfRSA1m2FMnIcuGigrmyPMX9ZeNzz4XIMjgStRWKyD3TGlven7AMP1Gn3h9UHNUi1fELgMohmOK5MGr8PzcoQgYQjBGLloQqIZTJO3QfWpht2FZCMT8qUnMv2+FhnwXHqI/XU9LsgL6CDx5Kp6/3GSca2UPpGgh0L9PM4YL6cTZb92WDvrePYDLRd3k74qH1Qnwc4gO4CJAQmQbc85wJOC9gqPoVxzn/czt8jfTT80o/584DtIGyyNbnoJ5MYBAiWxwaNYwHoYTS2lnxhmGoSVVsKy9ufgXZyM32UOMYkIm3HnGy3jd5CsioByI9Z+cWcg7M0mfhxrj5zhr4UCMukVfHl80fNh7TZ9eHAhbUXyBRCn66Wt76W6owEYoaOlIPUOvUgPv1BF7jaZ9rLOGFFi9LkLmt0DKwKFLLKQs7iUICk+1D2U+sD6SNBKtNNG3HciU8h7105wdJy5vkFAFopo5cbudVAvXc8kKo4carcdClCfB9YGn0ODsyJT4PIB0T8MQPwZVnGrodtO12yr+CTIrZgNCgLKMatGgMJUkluoj/LczJnfdzK/uzF8UC3MfFhpepy3gdj1s6BHlCXlUMqHwd0GxNGDqB18GhtHlFOiDwmcxg2eRhdbqgzjvAZECQO0pbrYwC0qDhGvw0SJ0rnHGygYfv0XUCn5GxtlOGDft3Hzc1gp1Od4WS7bZaOtCCglzKm8jl4Q4xyJa2AALdUJgEJDuofzdJyCXZiFtCJH82ATa5yliC5d52M9eJp+yCEN6QxfxSkMpmEuCZLwiF3utPAlsytkcGsGewuCCSXrrG8dQ51H1iPzq26vLKihj5uYD5cwhFbm1iWqvNy064zss5wk0srfGBbsLaAELwFkocSJBryBb6wjfdBACzz8jOaseuxJz68byiA9tjkKk6jjtMFgnWcMamNVsBjKJMQJdwKPWcN3MvH4GP0/ggmBPokV4JUlbX2ALTMLdgSu2Dxyxwo+1v3G78ej4GWCxxLAEEn2f0Y0/JvyOjb4E0CaItlpu3Lc/2kCPRvv7bKc8NIHlwJyRBxrInHIKXdyvtpEJZ3mMWF/UB/99wAkoc+46ZXoPBB90q1BIZHwGxQVR8PH2kTH8nMluAtA0BWqrP2qjujIP+XmmWD/RRfsFlDvF/JrQYH5fH6PfTHLCPgERAL2xgtSwA0ybuuVxv60LZk9QU2UZBATNFtUzZby42y1nxhW/02c6OQAHDW74ljhv1qEtoEy2Txcn5/SMCn3Yf9ABLtt6a4P+pH584EK0KOYYNusL/WTndZVn95ysVOdhm9sKqJHQdVHFpNQnt0X/ZLBWwz/rnSQH95jn7erDUHIXjU47uAUxk3CwgGYx3of0F89I1H3PrQliQmAKk0Dr/f80oqoo818xG5uQsCBYCuFxGKxYrkQxLkVo5P2Z+wgVghwE7ZN8MAW5exLfT2XPbVyLnsexOkDgig7Tj29VgAeneY7kEqYPSbkGiShP4+TrWRAeLYTHeqJpFsDxp/DM8Zueo4BGPr6BFrxtRneasfTXLHBEyZlCKI43XO5HrKRXeinEQAbGsPDh6VnMsc6sWFsmoGac1dpEYBBYljAAq5053HyAFKnD4+NA5l1Dmo0x9dZwAfawUIyh8Ktw61IW8JAXR4PR5IlT5mZQg61jm/D+vH4KUPj99tj9+HwSYiFujufZ83iBQheKxvgESu5a3Ph7kR+UIjYwtTWc5NyaiT3OikjPnoIJFOYuzJkgCPUsajAHU51hzUGWxy3ieOBmwD8CgmrApjKycxMSC1njD2cgv6E6GPuB4GoHMBugOgbuSWh7nJe2rc7WtxH5a5jekMOP20l/e0/Fz1Y3nlxB3oz35Kxrp73N/aeE+B1L2hTR4EqMfITkJdbv+SeGaZNHfioy+G8xl1fXOPlWoJDI+AaY+nAQTVAkyAxHzq/zOGEVB95I9ZZoJUAmwFCAnrDNtxys9LWMu3BhTlV3NRX0rgAwh2zQD91mInxtg6Jc/Cus1lWxKE6HVku9KK8rhgkwPGlALOOmcWx9DFujpjV/KQBW0B9kKwsJJBeD39dMa6fAHsb9O4P2h7ubgeb8OaYDvmcoGlAdRlf1JfdzEc+YzQ8fYqQ9DJhcXyUpAoF9BxH10qIndC5MBWl0lIGY02uQjYSkPGQ/tA3lOSfeU+uv6Xa5P5ZNaqjjHmlYoz2OQxQ97SzSGGGeb3ew3UnesRoErWyNZ86ISgSSQxJWApx3ZcSjvKtsZsbbQE0JW0A7VJdp4ep9dLbdBFalWcIVheDQgW4npi4lg1g8t2LGZai1NOIPQ+0EFv1ZYDbIdhkwdZQNfPZ6VaAsOjYBRQBCwr+eJhLJ7lI3TG4F+kpQXAtjyewWRZg93kFJAo4wQbaBg5V+czT/ta++e0bzK+eMxiOKkcImTgw5zlOW/lP190p4MqmZsneagHm/+YckmK7IOyb/yqFdWEREg4YqQIIegOr6cGjwU7Xl0n+X6NqQwRyIICn158ATg1oO5JAYocrG9CyUOYW14UNXhsyLEO41c+BNjGVJOQcozKRzxSt542NBp8EuNrbBHECQCSJZNwS57J0mrh/SFBSMCkmtep5FYBMSM3BaQGIFGWfaM+Yuc+mx13+k3xCeUYOqMupRXa/SHZ5Lpv+PFGo3661h2DqukQQPfaZAA6l2PdA+N9SoFp+Kk8tqdA6jDM8FAMtAls7ThFMWSVBw/YDrBQr28clxnW46xUS2B4BIyDHQE4y+MZAbaoma2uD3l/jff4Y3ARR+6+VgExqqWF+EGXMgkahyzI0+NwQOGBOhBwQM3UDAswbk4U2HXyxX3e5EKVqhgALYgTTC6sOJTh5BMCqw8Kchc0yP0B6EBQxgHxGQRAm31tMcPOkwOTGfaAS4x8wbgeCWwtH606hw7uCQhBVuuMg5xtxraSPOT6o+7yXEEkHBnpA/5IXYxbyeI5bPJYQ7/fGw0+KYqRSYQL28j1GEAsrJpBfcRCvVyJEwBoazGcLSuQC/UqwOeVY4ss4aZvVsIBSiDxIexrOJHrXQ8BoxS8dcete7zosY+yD8p7vcpZyILodY6PWRMFEr8QchBDjjHuAGgZpzDiUFaUAngah5q8HhofsMGoD2x1xtSNY2x64UsR9gSwjakzrMcZRDOsLbZbSZbA8AgYB0j1a/Zj4oEQi7Ht+XUPgjHQgfaVAD6T/aySE8CWglGhU7AWLgUglVw/v04boFFga2444bBrTC/LFtCB+PCJgs3iyU0iQlAVTBQEgKaMnMUwWgukJDNMncyd7ohP2Z4dRxlr4/6QTJnFVnbPCbCjlFYTlxPcUxVQNwA8bS+4Dw0tr/a0owbqOuBjgDOPW/jYyEDKHPYprUaealgsb/BYv5pg2Qs5rfJhdOITXI/FFjqSGGsSw7dwFpMlo56xF0fWhy7/ejpjG3RHsMkC2IbaZIQ+LstbsHu6IiGCSYSeW7Nh68MpGC2KGgw1GrzaCJNpmGw26U/hM270zbi41+hj+PJcBd4qAM0nhWziIwB0R+kbKcfIyHGaIzU51jQ+9ZXnXMBptGexzDRe0JYDhmXeHjtvSytiKlCkTTeS7XHTARIISKMgkbKi3XPih7b8h2QlQX149BqI0eMSdHf/VmAHtQ8HlqFPLceof2hZziRpCrlz4zrzAHDStmh/kusp6qS776fAVo/T7TcdINGvggDskOvnwMXxMSYXJoBmPhyos13r5NOGgt5TFHTrcQIATasfqICTg0eTmUYIbCvAaVwn9+GgKg7A8y9/WRmiBqm2Rt9ihimg8CY+eVHHz7KaTY6d+DQaUr5AfMSCL3o9GQE7pjY5p98Ftkwi3KEwHIMgjlFazZU8yIlPWdHDY5MNJtWtm2xtIiJ1xgzYWkDd1v8GuSlVKyhIpAssXR/KDLPJtD3BKjWrXR/y5C83QL/D6Eu9bNk3ErwFbDbtzwgGOmCTTXmLLVUZl6y1dT3auIk49Ju1O9bxFRu0ONXxCsDy9srvFVfLK3eTM8ArzclaDKfHSaXVku0lswCfBE9sW19HJsGASwWqbLADEYPWM6a3t9wBjwFYAziYzLABXChAKwSyjl5AF9GfciGYyUADIg4F0BZIlWPQ3yc3xk1eTyzg87Wneh8wcG9IOGKY4Qq4qCCVT8os4NIIZAWhjwegmV6WAXjhw9gtfp1sxzanP9XPmxwDwaIx0E1Baq770Ee9nkY+GOs8vB56f+rXEwIky0fu2BZKBGqfoLSa4tPNmcSRjG0JOCXoZ0ymDpDcsm+Gntmt8mBs7hEsoCMgNWB5e84B+8nuD4tNFrkV9f3RIOOTK31TxWHMcJgzQBnbsD/LDKRPUNGjvE5ZnUNlk+vz3b5xFhf2zsmqFeF1Vv8M5BidQeIIlnfckKoAYRUOWd6u7JdBFqnV1xMe9xa2FUUf1lqc8xjwfgv1VqolMDwKRsGooXGljywRMLbUhzCZgACpug/XStZgxzoeLCgKAFIYJwDDFIsHoL9+L9cfUx8QxlaAA4Npp+0xYAs95/p6SBySswXUWQUKOHpmNomRPjVI9BjbCtiWFwVlDALQrfSBAWzL3OiPc91vAtjSSQzsiY/GmAZSBOP+pD4SIEkAzVlzsPdaEg46UbDGzSqTxmQSDuBkkoeGPZGUTCYHqb3cgh9gQybR4OXYNIlA2W8cdPd8LLZQjjX7jMhJhNCEqmMgGFvJyFU+dvUDc9MNbzFcUGfYAFWaj4jD+pOyr1TLW/A4ls640QAfNxI/KK1W1cHmY83lCxKI0fuj7gMNCJY5d8i48Y1cSJwxHUB7LG8AOC3GtgivR94fHkgdM8C952Mx0B6ANrXWIg71mTDZ8cz0sUD3uKgQMtRCPQcMByXcFE30SrIEhkfAXMBXnhOA06tAwRbQsbZqHyqHqPzAfwDZccr+inPl+fKcyhZWRd/qH9oqBmlTMqnUTMYWBEC7EwWRLwU7VhwChBiwhccW1uyGu5tcALpLH3tyYTPDtFSczxbSMeW748XEobIPfawr9lXR/4aaYcEWkh9nrW9Un95fWXau1r6GoL9sLoiThz4++0pBqr2jX+BD4lD5kemTc+YvI33NGP2mPtby0bkmRajP1X1DJx4a0y1BHZsQ5BLcS5+yLQ4otAVnNWPby9lhbKsFdNVjfSWOvA+Dcmz8OsscVJ1xzq/HYmxlrWf6l48BuI/x5MBnefUxCGUKShx5f8iNQrQ4cgwMlpfFLyTg1CckUmfMF+o1e+/lcUIgWDvJ66lYXqe8nZRWmLIPBdgGINWTfRhM93jvOrXcLHmJF6cG0D3JQ0+WUd6FXtWK3DinaaxXku0RMNxqtdiHI9keNgrejEfKlC0MQJUAiZypqo97jCljkxU5RpaBs6Ik7aDCALk0ixmWgFtjoAHBCErJQ9k3mZB2WH1TcBbPBHU0N3KdoeShfp9dlYCzvNQ8/S9lC20ArS/eokxu6CMZxiw4LnMLNMPkemJYXis+oOmMC3bc64OQGbYmF/b9KRloytgyCYlSDq5qr7pO2p/6QkEAPR14fS1mreemPgZ8MZyQCBiaXSmTyFluOngLfJQfU/m4vwuq6tw4QIoBgpb+t74mmXNR8M9WANTLOLIUmXY9AtxL/a+WmxuH9EHW4LptOt7BRh3knma6bQsMF3zyZ7K8Rm4eM1yC1PK3RWOTLfY1YGw9pr0Cj+WmG/x45aPkFrC8AwBOi7FVffrEiQHQjIHu5C6brPoYoFv6TIzXPu1OwcCrvJ5qQjAu2+qOhWTn6TlZRm+l2tBgePPmzXjrW9+KE044AU972tNwww03VOfe+9734r777tsjCSYTIDWgbLt/vF3WpOSgNFqvNnisb4AqTrMWPH4AbBXQLUCiJYdgsg+Rcy3T4D/amQGqKLCVP6Y++1p/ybOcHQ0lf3RugW6o/dZX/1vlDMYmU7MY9bDkWfhDX55jrLXRbzHaZFmhxKoznAX9VvuEFSj48fJcNW6wQXfMhESCOgv0N8T9rj3uL3OjsgKmM7bi5LxvGLtmxKE5UJDq+eTgTDsba8Zw6sCyIe4PDdxLmUQmwRv1EWwhZRirW0oymcFGHRqwFTpjCWwrHx3009zkpCxK/1ve7wpQpwsSpY8mOylz62hxculTx+Gl1QRjS8bA2rVOMsMuA80mPr3PSM5Lno2LcdOY1BB0Sw12HuTclQgoLK8TRy7UMwFnDLAdAKSWrLUrxyj2HOhui4VtE4RNptKKZiMLFgSWQHbCyLnZJBOfTsG+D2TOK9WGAsObN2/GS1/6Unz605/Grl272JfTtm3b8L73vQ8nn3wyNm3atMcS3Z+NgTfrB736HwdU0gcEQGYgYJRj4bC0GQFI9HE7/QGu3i+ACzJaZ5j/mNG6yQUIWM84A52T62S74BGzqy/UaMvrGzohcCcXhuQBBFTlXn8KlsZ6dC51xuwxuMHYuiCVMvokuUwCS4Q+Mk6YG4zcwj6QIDWodMEmcsKnrDbijLW1e6K16Qar5StBndSR5qRvDADvMbaxExL2FIDkbE2WpHyB3oe5cz0WuKcT8KZgP2kcOvHQ2Fd5rpGBSTjUpwAVWxjmJkGiteVxOAYheJOg27rOrk8NOHkcvriP6n+riYLIzWRf6aRdAPhwQWCvbxoO086kADW7F4Buy0cCaMryFrE+qH2UOIH2lU7KRJwACAqwVfvA8ekPHm3NsD1ZshYRhqXiah+TsXV1xk3dZ5yDbu16JJs7Pi7j1BVKrC22aX8W5HrGGhnT4ntykJVqQ4Hh888/H9u3b8e//uu/4utf/zr7ojn44IPxoQ99CLOzs3j/+9+/xxLdr42CR4oDCeAKH53Xbwt0sQRwlr+08ocpjFODURCARN9fg2QBXBhw0AFSnVyZWhbkUMYpD1uP4WUcBlwgWTwBkJRFd17ORVF3BNdTO6DKaE+CVJu17r/lcXmO+pjgbbd9+FhzFl4BO1V7PrDMyPWUx8prlXVk1bEu+A+gtSjUB2gcUFD9b7+yYmUOvP5vBEgl1zNcNQmw+8MC3YHkgcWB6kMBV/frowaJPlCn/dZrS4Iqg+WVC8uYTyCTKOPrrDmNI0E3GwNwkGiWPDP6U9PYlilIYFsB64CxDQFNma8qeRDfBVLCoWp5JUg1qjkweUvOgU2g2SX3Lu03VyahgW7Dx11AJ3xK8FaIOONioqBJKwKfAECTGshDMMPWAjrpE8VAM3Y8Z08hrLJvE0ZufLvugn3mqE9R8AoYlU8nF5ILDuBXqg0Fhr/1rW/hpS99KU466SSMjY0F53/t134NL33pS3H11VfvdoLJBDNMf9AhmdSuMcALKR8gi4NQM7acCwoZaApGNSDGFtAVYH9pDgVQA3hwmYT8cVYBkiMr4AS4AFWMmY7zMSUPsj/LL39I9tXzqQG0dhzQwD3tmyw4DsTLF+zcKODbPc1wAPqDpwChTy76ph5qCZB0sKXtDFfGCdnKOr51f9gTBcL89RsD8kNvM8O6vpOPtcMms7JvpA9cAM0nCmZuwoeOAa1x60o48rLfpMYVtY98DE6uh20SwYA6ly9YzDCfePBH5xUraTzu55MYGUfXGUs5SKHEL/O2fMxxy+nER9SH9lheOm7GhDUEtqUP6hJuBkiVOTQbPDdV8tBrj7LWTeN6LGArAbzH8uoVKHRdbrhILUIzLO6PoJqE0tdhlQe+GE6brASMrcHyUjAsF73ROFSb3PVpkLZCYNttr/ZpNLJqfYWUqpSs9aOSGX7ooYfw1Kc+1X3PL/zCL2Dz5s1DJZVMmg5cQIGtAEjWpgoM1FDACYexBRhwoG2B/GCApRbxeJgizqq9Oo62IDBg/ijoN9jKjNDJ/Xzo9TCJAOkLe0HiIExq2Tc2a25XeYB6XOZGQUBYXs6Ow316bUmm2wDQbi1dQwpg9QEFghLYMh0pA3V8slb2QxgfRnz/aYMG0LwxCPszC9oCJNMtpAgMdNdxJICmnzfKqFs+TCYhgZgJbMUkwgLqBvvZEGOqMeq1rKC+HlYdQ4kT6H/FdTJAYexqGMXyekCM9A33kcx0nMbW1QyTe9rWGfPcNJ1x0DdGmTLK6LsyiYKwvBln1Ol9KEGixlpb5csCyYMB+qmPnPgE8ZW+lvIWr2KDLK0WU02iZnlzM7dQy6sDaEv/G/QnwQyMGS50zXBQ2k3KMTqlT4N9FmlZtVpnvLJLq4W0boRNTk5iaWnJfc/MzAympqaGSioZN/olwjbQYOecGreZ7sOBJQ8UaGmpjpSyvKStUGdcozcKXDSQXHqVGVBszeQbkJIHep0S7OjXyViizP4xo6ykzdjqbCEF474P+WEC/zHz6hk3SB/EMsONiOvJhY8F3mzAJ1hrwPDhEyyN/fTq/5ZxyvdbgJP+9SUkFDzqINWaXMi+kQukNHZeggN7BzoqFRlAl0vimLkVlgbanpS5wNbSuNIxbfAx5X1ds4VFQQBSJqQVCngrY5fNyYVt9E4MHxv3jlsSAQE4y2ui8QMf8nkLmNRgrEGuk/Zn2DdlHAoeTSbVWETYIORAXzmGApCk9tWSfUidsVm1QgA+WrWCflfLahK1TwNZ1h37vlIE5f6wpAiSfbUWJPLcuA8FqWG/GcywIceQY03/BhMCbdxEzhPjlBm2ATSVPIR65h4D3czQyLOqLTYG4/UTH3qvrTQbihk+5phj8F//9V/m+W3btuFjH/sYjjnmmKETS1Zb7CNtThpHADG5MxyJSTEqA70QzB/q41bOvAZxoZZjA/iPqQXEeAUMFtKUL2REDiLBjlxcyFlrEB8ah14nzdmTCBCmCnFMqi1FoCDEq47BxycW2HJ2nuZWxzFZVhInR+HGUYE6yU0+7aB/+X1I4pOFSxL084mPDlIL2Z9RbLZeSaFuj4A6C9iafSMlJHUcCaq0CVb4iF5OSCjgJLmRTmAgEWJSZl6P1OyiisO3fdZzC/TM9HpAfAhAK9sM2sr5vVYSCmW6KrAt+MSYMql0vK2cKRDsx/JSKUI1iQmAoBEny0zQHdZN1sE9B3X6hCATIJVKVcJqDiGoKiQ7bjCmXGuta5NlzeDuxiPk+zAGcHrl2GJ2oCv6gO4+cRoZWXDmxInV8lpjINlkC9gGLG/1Gc050y4YaJrbWCSAXqk2FDN88skn4w1veAPOOOMM/P7v/z4A4O6778bCwgJuuOEGfPazn8XMzAz+8i//co8mu78aB2I64IMEYsSfVV8oqv8FYNRiqiiwo0CszKE8LkEi/THTgWXG2qIfulDaUMe3mCUGKAAOurP6jHmdpA8yiEfAsH1ypQ8KSHDA+8ZiX6lZOuNg5T/tNyNOg4y1B2wRXA/pgyGArRVHgrdaa10gK7L6OL0HwB/BdvuAgxMK+uWiLrumNAcH5oQk16svSB/7OkGu0+sbIXnI6rY4M2yAKmMi2Y1jSyus6wlq3JJKBhS82X3AJxH9ahPLvIPqGApQl08OGlm3pwuULHNG+tMA0PI7j4Ct8nMVTkisMaDSDqmNFoBTmSz11+V2XweaYQpcDC1to1Hfh/0Y2/JUU1yPVr6s228GMxxcj/wsovYxrqeqQFFwIFiynyU4Y9cTgNSwHJsE3bIcmwVsPR99YRufKFRSBBHHqibBWV5d5yzjNJsN1p9a35TnNDa5C2yJ/lfEaRMfxiZTzbAA0CvVhgLDz33uc/Gnf/qnOO+88/C1r30NAPDWt74VQPfGzrIMf/qnf4rnPOc5ey7T/dhspqoGvZLd4mwybYs/0raqSZgLvmqXALggE7kRsFO1ZwC0sr3SOLDkIJXGYD4MCHImlYEdQ4PdZZ0ooKDxvb4pc6v/XxRgM5KGpbuEzUoGILW8TjnWoD6UgY6TAmTi/uDAsjxuA0vOWuuSB+nja4bDH+3yeH2/y3JoGhj39b8cCNK86usM2VcSh7KiBpMagu7ecQke5ZbHGrDN5QSLxCHnqBShH0hlcoyI+9ACtvIJhbngqyGYTAvc5/qEQI6plElIYFnXkCXHCcNJfVwtL7tOA9Tl4CXPKIBnIFVMSCiTyhh9A6SS9prCxwU7YqLQzVloeZ1NN9jjdvoZcVjeGAmHBRLDxWNyUaYyiQgmBGJhW1kFRPZNI+y3UL6gs6IZEOqM+wBouVU1Y3llneEi7BtLDiL7jY6BBKmTBKS285xLHpiPHYeyyY1Gfe2mzngFb7wxFBgGgNNPPx0nnXQSvvjFL+L222/H3Nwc1qxZg6OPPhonnXQSjjjiiD2Z535uOnChII2CVAoeAQ7eqPHKDEImIeMQH1G2ono/84kAW7QuL8AZHwksKctLNbYwrpOCKsky075hgJMCvowDMX9CooAdJ04ucrMYOVvLK2vPWkCdnAsmS3pusq95uT4DiAmQaMYRudWTMiGjKSdYEIC3bkqR0dRteaXqMtSfm7wIr1MCl4BNzum4ofYhuXksr8VwxmjK8wKikoK4PxRwEIyBAG+MfRU/zlacvAj7QN6HUiZR9QFj7iXgs4G6WTFByiSqfqufHOTdm7p7vAHCvvL+cScxEQBNsvNRJfHoGLhx9L5hEgEJUhsCVBEgRtuymGG+gE7G6Z9bs8HHulNY/SaALZ14MABdxwnkGCUDbYBEWYd6rNmovgs6eYGmAtT7AlsKUkl8+tcEqcLHkpBQwClZcwY45QK6Tj0G5oJEAVKtCYm3gI5+f9QyCY+1XrmL6IYGwwBwxBFH4A1veMMeSiWZZRawDfWdBDw64K36kgcEqKp9gqoR1QkORgnWMiUXGcSjcxKDA2UeXwWWAtiyqhk0Z5lbRo8T0G0x4Azs8M7x6/JSgGaDnTq+LeHwy3oZYMfwkY/O7ftDgjdE+eTUh0gBhtEMWxISOVGg48NZZh3Al+2V+dLrpHVseX/qjH4jk+XYrOsEy62K44w1B0jyyQEFVbbG1ZQVeHIMkrMVR94ftlZTAKRyTAkYLYqaqQPkIjEO1Bux9y4FSA0And71ZzTn8PqD+CQ3XhJP9A0btxo4yCcXlma4KCSoq6+/w+IIqYoGoIsa9AESVNX3gSQgPCBWg7cGGlm9DTKLYy4i5Ivu7Ny45KG8VAkSLc0uA4mFlDzoILUEiZq0ItAMlwCa6Knl5MKqNuJVhrAmPpbPmJBWuIxt2Z9NW1oRI8cImWEJugmb3CE+TDM8GjKJoRbQJdu3Zv3QQgBbxn4aUoACFI0S4NB1rNpiIDU32jKAIAABQiTz1z8OL9NWp9wwcgaUH0YSn/2Y1k2D/Mb0JBRhHMYYB33gsaJGbgAHLkZtYjkh0YC6BhLp9WiP6OUjWG9bX754y/axZApWv1EwynS+BNQFkyW2wFKf/Ll9E4Becp3GAkub0a/HOmD+XDZZnyyF5e3IuDWsMYiZXOgVG/rFoR9Fq5pElnFga0/KOPvJx5qCbv49RcdUA5b0/pTnLKDOFnU58bmsQMhBlNrIQXwqX+jHJqvVJJzH4PSeErITs8oDnSwJ8GhOYij7Ssba0svW/UbjhG0BWqWLst9qSdkgsg9TJmEsbAvudyU3WRnC2rUukC+Q3x7rOiXgbHdi+iYSQBc1SJW5eTrjOjdbZxwsulOAujW5oH25Em0oZji2SkSWZbj55puHCZGMGANvgv0sjS5CKiCYWbmoqjwuyrFR8KgtkqtzIG3ViMbV/7L4FLhAj8MWiYlzLGcKtpxH9zB8pC63Psd1pBLcV++nP9rgoIqaBVwggIsFQjg4iGeG1ZzlhEAACg2EYAAfjc3lDDjvA85+QhznP8719ejaYK9v6twKJeewLUBjwHVgy8fAWqRGJhe5LV9grHVDsLwmSK3PyQoUuROnZvEEC2+Ce7AfZzYhMCZLlv7XA/ecYeT9poGgqg/owjJyPaUxMJ7ze6p8ElKCdwZClPhAWMLNkqp4oJtp5K0JSSCt6B2ncSQQNDTQzUZW9YkFBMtzdW7e7nh1blY1CdenoD4Npnf3dMYasLR8CnGtUj7QyOrvD4vltbTRg7C8GrB1GfCcyjEaYmML26fKTUwUPGlFW+lPuYDO0kCHoJtuusFLuK1UGwoMr127lv1Ilba0tISFhQUAwNFHH43x8fHdyy4ZAP7DxIhhwQZxVhLERwI+zYeCVAFsBQgBZdFIDBu4OAvoSCA5a9Suh9UmLjjo9ha2mY/bA1CnADRwa8jJBQNIpY8DbMWEgFfaoEBMximvJ2O52eCNAqSQRbNzC4FlwOK5PuVxXS/bbQ/q5Kvrk1XH6f3eyfm4aVprPgbhpIze74zhjAKc5HoaUvLggEeSmwbguz6CsS0ZLOigHwg1rlyOod/v5mK4hmRfSR8ENYNBrse4Pyz9b4ODDRrH3nKYbyLCQSqIj1zchypO+RmjY61NfBpZVi1aMqUIDNT1r6Qg7ymvAgUvX1bYPlGA05YvlNRHCO5jWcn6esblwjbleqy6vAAH8c3MXiQWMupaX/tssqbzzfMCRUMB1gUHw7SeMZuUEQY8qM4hGH1LJjGM/lfbDhro6X/L/mw6zDDT//ItnEt23gPqVBvcLcdW1382S7hRYLLCbCgwfN1115nnHnroIXzoQx/C9773PVx00UVDJ5asNnr7WAwfBbD9AV/dlmQ5y7aoUV2uBHz03raALcHPwU5mtrTCALAMoPE82UQBHCBZ7GsoRSDXyR6d0zhWfzqg22CGOSPnMd2Wj8wNuo9cjObGIX2gTJY0H42V7N6fIUgGPJZXB+Nl3pUPwMaUgm42PgaAZn3T4MxwnExCSh5g+Nj3h6k9DXIjP9oGgObygTjG1ho3ydja4M2+D+3dBvnnytQzk4lH1pC5lTkjGOvq+1CAxNK4Ljf8/qI60oLJF+j1k+sMqmaUPvUTuQDYSpa3mihQIMbzNje2IH3QITl3fQxphfjOsUBqXvBtkuMqXXDJg/no3GB5maa8H2NKwD3TGZPrbDTk+FjAMgT9UvJQAuV2p2DA1pPEeMzw7lSGkHGsmsHyeswyaR1dWpFLYDtuaIZpHALGtdxWqu1xzfBhhx2GN7/5zXj84x+Ps88+e083H9gtt9yCU089Fcceeyye9rSn4ZWvfCXWr1+/1/weCTNBCHtEz3/oqTEWn/6gk/dwgCRAsgC2GkAKWF7xI8P0tyQv04dKOIgCmrKiEOxr1pBVFur4IMdphzKQRr7kJcNpARfWn5kEVfXbAp0x6QMGBMnUR24SQYELA4Ks2gi9P3RgKYG6uYFGANTjfDTQzZ4OIHxyoIMdfn/QL3JLfytBdyfnY037uupPsSEJA3UB+9p93UAdJ3jcb21sQUC3nJCEbHJ9ndbiMXMxXIP72OANHFQ1wv7UcqPAlj3SNoG6uJ4SJMrPlcWyinuKMo/0fpdPDjSdL63/W7g+5J4iP/RyB7zwOnXwaLKvBFxTn0IyjBawZUCMr9aXG2iwLZytR/QBSO3lJgCfxX7S9mQ1Cb8PSG4luC/6gMTeKcpkyraa4v6gwFKTNtC+KQr+nWNpdpmsoLBBvzUG/QB0xb42xQYazIfvdEdlErwkHgWpYne8gsYJJwpdn/4a6LzgAHqcySRWbjWJvbaA7lnPeha+8Y1v7K3mAQAbN27EySefjJmZGbzrXe/C+eefjzVr1uA1r3kNbrzxxj3u90gZ137S45Ixrc95P2a0LckklsettroMNAG2BoCmX8pdlrWOYTJ/ArjUIFXkZix2yqr/yT4jPzJBH8gFbHVbmuYQQPVjWrWn5JxLYNsUPhpIFbHCBYG1T2l5wX0s8MYWSwZAnbbH2UJaYcDKbRjNMGUO6ESqEADNAju8r+OYYT7WlmZZLHzM+HVyyUMNXGL7psHGwPqM6pMyqe8MQHeu+/DH7TI3AtRJn3kaV6rLZSXczNy4/reh3IcZlL7uA1woIwjYwIVNSMT9EYBhssBSY1/lxIedI/0md2yzxi0XfZMZEwW7hJvMue4Pyehb9YzNbbRF2TcLVAWstcZkFvyzaG3HLFlJdj2OhENjTKWmnN2HErwpOQNAq80/oxpIZDIeMdZlCbfSp9z0I3ZhWzBRsJh2S77QbNhAPWCGawBdT5acMmkdAdSbFKjrDLSUQq4k263Sap4tLi5i27Zte6t5AMB5552HTqeDCy64AAcffDAA4Nhjj8WJJ56Ic845Bx/+8If3qN8jZQTPcJYXEoiFoA4Q2lOxShtZ/YNRWgCGAxaPtEV9aF60PRCwQd5DQXI3bwl2SG4FPY7geNleqfmjP4BZBgaS5eP2LEOPsZaLCOu82KNWyr6KH3QpuyjNfDwNep12BQo68cgymkPcY31eJs2pdBEAWPKjKUAA81HkENZjeMBmhgtaZ7gPcGFPGyzQbQDogvWnZPFq//JpQzlR4Swv+aFnY2BX52DMY+6NQX2dDHBaYCfXJwQSIAXsq7rgrBD1jLlPOdbd7YNpH9Dc+FhXPpnotwrAc2DLmFkyiSlIHArqALAV+XSCI/uZ9jV72tCoJ9oSbHmL7hoNIO9I0C8qNhigjpVJEyC1MEBqQXKQm24wkGowto0sQ1H1DUyWV0oeMgKqGJMZpTPOuc7YipPxetcWO84X3dVPKKTkgQHbDpc8VAx0p0CzEY5B14dMsDJ9gtMFyTpja5Vwa4q2PAmJVRnCY8257KOuqGFpedtUM9xssK2izd3kCrEDXdWfOWeG91eZxMLCAr773e/ioosuwqGHHrqnm6+sKApcccUVeOYzn1kBWgCYmJjAiSeeiOuuuw6zs7N7zO+RNMb+kuOMdaJ1GQoK67RH9EXZHGNsc9YWB1WlZQAD0BSg2fpf+eNM4keC7ly5Tg3YVtcJfpyyr9RY3hJUVW1xR3vxmF77FghZL+ZTHffYVyuO8JFAnV6nEUfqxilIVMGjyI2NT6Yzw1JGE4LU0MedlDVsOYb36FzTxTLQn4MvWAXNTepVUR23n8QIvSybkED14Qw0f9rgPfHJtesh/RnEGUImEQBY5XOt+/T6rcHLbdXMtD3JZCW6xLjR+7AtnkZpIFHeh20JdhiALb+n7EVqjAEm36ENcX8yttDoz+AxPO1PQ2MrwaMFUosCKnh09eECQFc+OczcJMuqyU66ufHPKAOWJahyWF5279AJo2iL3R9t/uSAMsPaGABAq90hPvX9ZlWGkGPAAWzOfOIY25wDaGOiIHW5JQPN+rMj7g8iXwjYeWUMZG4BO9/U791RqTO810qrFUWBN73pTcM0H2UPPPAAdu7ciaOOOio4d9RRRyHPc9x666047rjj9ojfI2kM8NJv8qI+yVgvCLAT/DiXJwRIpGjHACGyFJgGnKQPZ2bLYGW+/AedhOH6X8Y89gO2BWiliUBjK4BgX1A1AOC09J2U9YLoA86k6gA67GsdhFgMY7BYkgIKOVliwIECwcJoi/uo/SnuXTnx4eOTkePDAFuoPvyxfj3JY/ER9md5S8mNC+IWj3GW12STrZJWAnBa2uTAxwRV/YF6qOXlPjm7HhK/7BsoEh92f4T3blBtRHx/6MBWTHw6/P6oZSyomNB+95T2PUGBrebDdu5TwFuwjXbUts9SViAnS73rCSQP+rgx/W+WVd9ZMjdr0w2pCfWYYSq90cCjGkcDtuQzQhfjle1pC9jk9sX8yQGd+EBloOl1dn34d4EGRqlPIeOIPrCqSWjSikKck9skR+mMCUj19L9U2jAmc7YqQ1CZhFNNgu90t3I1w0OB4Z/+6Z82z42Pj+PQQw/Fc5/7XLziFa8YOrF+tnXrVgDAunXrgnPlsfI9e8KPmpw97k1rNhuMjaKLIhqN+ktNzoLpa/plRb+Ix5qNCqRlqL8cGhn/cFEwPdZsVD9AFBA0sow9xmoIn+pLKUOFVhpZxq6H1kMeG6Nx6seXdAYaxBlr1EAo4+8pHxUVBb+e8bFGhbq7spHap+yroii4z7jeN7RYeVEULDf6qDlj49aox6QQ4zbO+zNmrOlq36yRVT9MXU1Xxs4B5RiIOL1AVG9GJ06ZuD+kT4P51PHo/UEBK78/6ke4jSxD07kPyzgZ+XFveHHGarBDjzebdZyiABpNfk81sgwdAZLpj0yBgoEyyrggAwMHlY+4P+g2pxSsUC1eLu5dNtaZPm4FOPMf3h+9mM0MzZznYMcJ7yn6ucqyDGNjPE7Zd3TcaG5ZlrF7ik50x8ca7N4F+S6g9y6dwI+PkTglsuj5mHHGG+r3erPREHH490eT3ruVT30f5mKsx8drsNO9P3o+zawCvfI7Z3KCjkFNDow1qA+/P1ZNjqk+zWZWTTglobBqgt+7Ob2nev8oCn6/T07Kse6+HhtrsOuh4zM5QXPLKlA1RsZaTkrpuFHr3h/155d+F9DvUH5PNRlDX8UR96FkOOnnqv6MNsx7amK8EUyOa59uv3U6Bfs+Gh9vVtIKGmeMxMlz3p90rLt51z7lvZuLMZhaVfsU4GM9ZsUhPsjqCdv4WAPtTv09RX1W09x6F0pxyEqxocDwlVdeuafzGNiWl5cBdOUN0sr6xouLi3vMj9rBB09zhnYvG2XkDly7ujq+5oBVKO+6qdUTmJxrAejeaKtX19e39sCp2mfNqurDNTU1gfHx7i3QHGtg1WT3+htZhjVrVlU+BxywivhPVh+Uicmx6kez2WwwnzUH1DGnic/4+Bgmex+ORrOBA4jPNPWfXlV9YCYmxzG+3J1Rjo81MT09qfqsXTtV/ehMTY1XP8gTE2OY7vVHUfDrWbt2qvqyWkV9xptVHxaiDw4k/Tk1NVHFnJwcw+qprk+WZVhN8qQ/5qtX1z6rVo1XP0BZI8Pq1bXPuoOmic9k1ddTq8aR9cB1o9HA1BT1qe+P6dWT1ZfP6qkJTEx07/1Gs4FVq8arPOn1rDlgVfWjOb16AhMT5f3RrHwajQxr14p7qkDt07unxsaamOzdU81GxvqQjTW7P5rVuI+NNXDAGjLWpD/XHLCqAhsTE2PVdY6PNdl9yO6PA6bYPTU23qp8pkm/r5H3VDMDeprQBom5mtxTa9bwMch6IGfVqgk0e/fU5OQY+VxmmJ5eRXzqsV41NYFGb2Y4OTle3bsAsJqM9cEH1z5TU+MVEFq1arwCIVkG9l1w8DrqM1H5TK2aQJa1AXTvqVVTus80uc7Vqyeq74zmWKMa60Yjw0HyO6e8P6YnKyA0NtbEROnfzHAguado36yZnqyAQ/eeKv0bWEvuqdXi/iiB0MTEWMVIjY/x7ynqs/aAqeqeGp8Yw9hYtz8mxptYM02vu3594Nqp6rM9MTlWTaomJ8eq+zUv+PUcdODqCuysWjVe3VOrJsertouCx6FjsGpqovr8r1o1jikyVnSsH0N8JifHq9+sqamJ+glDlmGK+PzUY9bwOL2vrampOs8sy6rvAhln9erJ6vdlevUEdi3U99Qk8Tl4Xf09tXp6sro/1kxP1vdUs1HdH2Pi92WK9M0BayarycLYWBMTE12f8WaD3VOryHUecMCqatI6Nt6sXo+PN7GW/HbROGvXrqruw4mJMYy1uvfUxDj/zqFxDlw7RX4v6z6cnBirvjPyomDfUwcd2PXpLHcwuar+XE9MjGF6eqLyoffuYw4WY92ofyvob5+8pxqNDHlesPtj9dQ4JssJcJax35efOri+P6ZWT1RjvXr1RPX4JMsyNtY0t3I86e/HSrG9toBub9vkZHeAWq1WcK4EvFNTYYcP60dt27a5fcsM915nGbBz50J1bnZ2odIGLS220FrufvG02h3s2rVUvW+OvJ6dXage5S0uLqPT00S1Wh3ML3SvvwAwN1f7bN8xX72en19G3vthWVxsMSZ0bp74bBc+vZhLS20slMBQ+OzYsUB8lqov7MXFFpZ619bJcyz08pQ+u3YuVhPS+fllLC93r63d7mBxsVXlOTtb++zcWU98uj7tnk+OxcVl1Yf259zcUqVFa7XaWFpq9fIsWNuUadu1q/ZZXm6j5JM6nRy7di2S95HXc4vV47el5TZarfra5ubq99H7Y9euxQoELC620CZjPTffvbbuPVX7z+5YqB6nLizUPsvL7dpH5LZjdoGNVbtT+8yTsbLuqQVyfywutSoWvSgKzM8vqz7zc/X9sbDYqvojz3MsGPfhHPVZWMbyUnes80491l0f/Z7Ki6KK02l3sLTY88/lPbWADN2NDebnl8g91cHSYnl/5JjdSe+puj/n5pYqrWK7RXw6OXbS9+2k9we5D5fbKHqfsXZb+Ij7q7yeVqtd3x/tDhsren/Nzi5WLN7yUhvtVjnW9T3VyMT9sWOhHt/F5eqeXFpuY743Vhm693hpM2TcFhb490f1PZUXlT8AzMzQe2qp8llYWK5lAQXY9wf1oW0tLCxjsfdZzvMcCwv178W27XNq38zPL2Opd0912nn1nZPnBXbM1nF27Vqsnjbsmltm98fykn5/0Ht6164lMm4dtFq97/1Ojtmd/LugnJTtmltCi94fvc9Bu93Bzp30t4LfH/V3W6ca61Y7x845/h1Y2o7Zhcpnaam+p5Zb9W9SlvE4s7ML1WP1paUWOr3vD3l/0M/otpl6DBYWWvVv0lKLjSN9vXUbv6dKBD5PvudQFFhYqH1YHPJdNL+wjAXym7JEcqNx5uaWqu+PufklLJbfOXlefa5lnLm5peoJ1q65peqeKvIcrfL+6hTst6/r030Cs2tuif32ld9zrU6O7eK3r9kDwzt3LWGZ/KaUqKPV6mCHcR/umF0k31P1d8FSq42d5DdykXzeyu+F7pjvG8nEOjJZ8ywKDH/uc58bOpEXvOAFQ/t6dsghhwCAWrFiy5Yt7D17wo+a1PjsbauYYXAdWbudVzNq+ngoz7luieoM252c/TCUp+g1dePU/q1W/Tonz0A6Odff5kQnVH6wgO6PFqo4OfsQ0MVKLeJDr5MuIkAhfNq6T7uT19dd1OeKAtWPQvff5HrEAoNyNbf04bkVrO0qZM4LnMuFHDkZuPJ68qLg4xaMdf2Yshq3gmsl6Qr0bh/U10DHuswty2R/5hUzTO8b7pOxsabXQ9ui2rEMcqxJfxZFDTg7RXUR0me5pfdNTu6PDBl7tLks7qmMjHWHjbXhU9SPMIuCj33ZoXnBF+fkeVHpjNvtetEMfeZZFIVyH3at3SH3B1kKWhTO51rEqe+PAm1SHor6tNp5vTiW+HQ6PDf63JfGkfdHm94foj/pNZTW6RSVJjPLMjYG5eS39Cnvj05eoNO7nobwYd85BdhY19UseBJLy/x7qhzrdoffu9RneZnHKSe6bfo9JeLIezdrAOj0xpp879LvcPoZKcQY0M9v/d1asPuwyItqk4hunPpzRb/z6D1Fx7rVJp8rNm55FUd+f/D7sP5cdzp5FYduB132Tf19WI9bm9yHjUbGclskYwAiU+p06vu9kfE49J4C+Vx3OjnapTRL5La4RMe6qEBqu11fT9bLu86Nxqm/++m4UXJExkFR1PdUO68qNlCPTl6wewp5V4qT9/qM3h+Vrj/P2W9seX+00P0dpdeTkd94eh9SDrDV6gQ6faA7BvSzSAURy73xpPfQSrEoMPymN71pYFlAqSvaW2D48MMPx7p167Bhw4bg3IYNGzA+Po6jjz56j/k9klZ9OLPwOKsMUf1oF+zDaS2Q4j58QZG22EqNU8vl2AclLJPW86n+Vx6rneSiGXtxn+Vj17jlC2NI50A/x75EKJIsz/Xysio20KoMgFhURS+HLvThYUQ1Ca8qQRHhQ65TVucg4xYs1KuOQ+0bzaehjAGEj1VNIi/qH15/USZfbGQtCORlsKD2W5ZxrSWbxGSkNjFZ6BMuYqzzLBfqleWsynONBllsVfDPlVxUxfuzd7wIV6pXPgVZMEpWvRcF/yzKsm9swZdxT5mbe2RiAV15rzW8MdB3MmtkYsIofOofdL2Wb+hTL1qVlW3s2tVGBQqh0Ze51QvlwD6jVgk3vrjPqNhQcI16ee+W45kXYVuywkDdP0Ww8r9sO6h0YVR5YNtoF/qCt9KHbiyRUR/lXgv6hvR1GKf2oUAqqP9Lxo1uumFVDunkRaWHltdDS6t1F4nVPlbVCjqRZIv7cnuhnvRR4xC9fbdqh/BpZmh3wjGo2hJkD91cgy+WrHXbYc1gvQIF38iFTPCycLHkSrUoMPynf/qn+1QjG2vPec5zcOmll+Lhhx+u2Nz5+XlcfvnlOOGEEzA9rdPjw/o9UlZXUpDbJ1NQRYEYw8LsS4SBNAk4RTmy0mQ1iYwEokQIy41M+uwSXfxLkX9O9N3kGoADkEgfKAClvEIGOAWAVq+ngLIldVbF0EqeSRBira6XoJsBaDGJyelYEyBIr9OqZCAnCmDxOaiqr5P0mwF4AX8MyjNetQAG7mlpN/Dc2GO1ANjquXlgx/QpeG70B4h+3hps3CzQbUzK8j5jndf3VEMZg24XZNWjUbMyRO5XoKAAmgEX457iEwICkNiTJbFzoASpZNxqsOVUhhBAjFU7iQCc3cksaYvlxlkvrURXcH+I2sTaZKUhfGhVgrACBOo4Sn+W7dGtgNWyXoXyuaLtEQBdGi2FBnTvjy58BtsFj9UzJlVVaJm2sj26uYcG6oLyZRIM04kPa6uh+7B+y+04FEA3a6AsJz6smoQEtqQ/rXrGFlCX12PVMza3is5sAE1LqHWf4pVxGmpbMreg0kWm34fW9tK0moQFkoFHQTWJ008/feCG5+fnsbCw0P+Nu2Gve93r8NWvfhWnnXYaTj/9dIyPj+ODH/wgFhYWcOaZZwIA1q9fj1e96lV429vehpe97GXRfivJODjgJ2pgK4rmix902Va3PbkzXPl+AYbJa8aUFUCTAAqIL8U6jgBVpEya5UMBBQioCoBYAN7IdSrgoMxB9aGTAQbQDHa8ILGC67RZXgukouBxQh8FbMixlqCblaQjx1n8Ok8TpBJwz8YGHDzGsPNAn5Jn5fGGB6p4aTWtLm8YpwZPwfXULsoTiroPOOCkbdX+Ydm3XluwS2eVccoYWnm7PJf3R30fWmyhnBSOyftDYSXluMkJuPaDziaskkll4FHfoleCR7mDZSPTxs0HnNp96PnQ6wkZfeg+mbye/n1AQTcHYhDxtdwK0W9iQiK+97V6sVkDaBS2T/lUoyPvD8K0c5DKJ0taybO8AAN1VskzCR61Xd6C/mzonyuXsc10YOv71BPDTuGAey+OAbp5PeMa+Fvl7YI4BjPb3Y6ZbLohJ1jlrnEdHdy7O9AZEwIOrHk1jZVcZ3iv1be44oor8KIXvWhvNQ8AOOyww3DJJZfgkEMOwZlnnonXv/71yLIMF198MY488kgA3S/BTqfDNLAxfivJGHAhx3PUAI79oEsgJlknBTgQ7MiANQCmCePgiTCc4GDHBxS0rUz1oaw1Z1/BjINuupMZAVXiB10+qiG4koMAGocx3RLc0+sBOc5n4aXR+qoVsBZtAQLYgsYByk0+CenV9WGgX0hfyCTGAoISPGqsZCYQpy9F6Pl4dYZJH+Q513eaNWEb+j0V1J4VX/6MlaxYUf/RuSaHkKBb3u86eNPvm+71SNlHHb9h3B9h3eQQwNLPDsBlEvSpgmRStUf35XXyMUXgIz9vwRg0wuuUj8GlFpFNfCiTakx8uiCxzpnVJraAOgO2Hui2NupwNvfILfZTxKHj6bG8eTg+8skSZ9T168mL+vs96/WBtu2yBHX0vpGfa92n1gWHQJCOAQf35RPGpmCgJSsaxaQaoFuy1vQpjZRJaBMPuhlGdBxynUCtpS3bi2LUpbRCqSdMpRAFwokHlXBokwjaVpaFT4mqknjSR9k1r/RZqTZ0NYnFxUV87Wtfw/333492u83OLS0t4fLLL98nO7kdccQROP/8883zxx9/vKoP7ue3koxrfCnaEUwv/YIj/vTLv+uEqr3yG9tiEbvt6cClKMCK2VNYRX0oB13Q65GAM2AY65xjmEwOukknSB8xUVBlEvJLXrAnFASoLJ6ckDBgKycEdV6SHa98gkkEjd87DgQ56/pwe8e2UIPdOw6w+8NleSlLE8XYyqcaWVRunP007t3g/tCBGMuto99TVHIQaiUlkwlyPRR099oix/m1Fsr11J8dCfh4br3jDQH66aPRJu9PyhZyPTPJy5jIcWaYa4nt+4Pfh1RbSKf6NnjkTKolowm1ybQt6kMnWHq/BZMyk00GkwiYPhTYSobRnPzpGnn56D7QZzfq8aEAuugJ8yWbDYCBbp3l5X3DmD+jr7vSiu5xqiUGONPOAFpRM6mZAFWSnWcAWrk/A59Gpl+nBLYScCrg0QP3lrQiluX1fJY9OUbExIPWCacMMK2hLpnpcrJUguTye69hxJc5r2RmeCgw/NBDD+Hkk0/G/fffj3KhHIDg9d5aPLe/Wf3DxH/o5Q8QpYalhrE0CpQZs0J/ACGZVJ4P19/WTjyO/qMdMql6HAqtJbuVmaCb562BVMD/cS47QQI+UzcNyahXR01Grns4BAFy4aO1rS8DSKRv5ESBA2iSc4G4iQ+LEwugddAdMEji/ih7h1+PDbr5NslxTxsC5p5MFKSOkvrY4N4ALiQHvuBMZ4zltcrFkvTH2V5EyIGlBgQBMSmTccr7kP3QO+w86QPZN5bG1mSgBevFJiQk7yBnAyAxXa7sMyZ5EIslG7Tf9NxMyYPBimpxOHBAhA+5P6SP0p9V3j2fjgC95dv4xKv75iYd07z2scAOy7ltXGcRDx71RV0ZGlQz7GytHCN5kNs+NyN9BpVWMGbY6QN7QaCnge4wn2oS0bFzWzbGJwC2GT1ettWoznfyglUrojm381qz3D3OpRUr1YYCw+9+97vxwAMP4EUvehF+7ud+Dv/6r/+KP/iDP8BjHvMYXHvttdiwYQPOOussPPvZz97D6e6f5i+gC8Fo93jtT3+YOGUsDhNAQS1gbEufokDRe2+DolcoIKTyEUw3vU6VKQMls4PHjxRAB4wtvVQT2ApmmMSnTiGoqn8wONMdAjSAgxCp76wBGu8DX2dcdg1f1CXHTtO4MuYPAgjS6wR/CjA4yyv6hvkYj6eLApnFDAcgtT6uVc2QuVG9e9CfDcuHfK6CCYHVB9QHDGxY96EcH+3+AJyqBOxzxatWWCCVxqF9wCUPHstrM3JsYZvJVkKAOj1Oo6H3DZ0MAIJNFnEs6Q2rDME0u14c+z7kEg4dqEuWVavoIX2YfKHgjD69TtlvFltYyg9oW+V76eNuTWvN49sTki4DjDB+0DfGhCSX7HzdN8GCMwr6qY8BHrnEiE8UOANt6XLjpBUWc9+3AgUDqbXPmDEh6LK5Pf1vUbASbtrEo/y+6VcdoyjqPiiP1eXY9PhsotCU35MrdwHdUJrha6+9Fq94xSvwD//wD3j5y18OADjxxBNx2mmn4eKLL8Yb3/hG/N//+3+xefPmPZrs/moUVJngkUBLCaroD1PswjaGn022kOZms7ysakUhwVv9toCVJPF19pXnBuYjgCBJx2SthQbazA16btQnYOSM3ChAKcAlHCYzTOLQH3oKwmQO7NE9ZImw2ifU2IbjpukEq76h/RnEj/Eh4waYuVn3oQTQHHRLYKuDxI4AIZzl1X/Q7cmSra/kj85RMZZubka/mTKJnI8b/WtJAbyxDh/dg7TVywsS1PHqCzxncp0UQAegv+dTCNba1BnzzyJlOC3WOgNZJMbAm4yjL95iZdIa3vUQ0E18MsnCizi8MoR+H5paawMkclBXxwK6Y0plEhn1iQG2Dck86n0TLKBjn50iaAvgTCoF5HwMbGlFqOXNq+P0euQCuqGY4V57fJEaX1hm6YzlJMbSJsfKFMoJQSmDKFlbySbTUo/l9ZTtlH/NEnIdLjuRoHul2lBgeOvWrfilX/olAPUPUrlrDAC8+MUvxq/+6q/inHPO2QMpJqOsF2NzA9anfj+95RhAMh8bOzIJijdJDnLVO72ZbJmEDaBNsAP5WJ/mpoMQWvYN0idgrWtQRWsg24/OweKozL2ckBB0z8G9BI/Cp4ovJQ8hcAmeHJg++nG1bypAIQA8arMAdMCam8BWaob16/EkDwy4mPdUHEi17l22eMy5Hna/57ABn7x3WT3j8DoBsAL8jN1iExzJcNb3Z3m+vM6aMdVX5Af92eGTC96fBOxYADrTGUbK/gKSSYUOdkifyTiBhCRm8mcxtg0J+MRYN5Q+yMSEgOZGgS0Zn0Cv6slLct2nTRjBMvfAh7GVPH55TUA4uWhSn3JyISZYweJCOvGq7o8GB5xmmbT+1wmIBWeFAKl0DBzGNmbRnakZzmygbrHJwaI7p86wCbpbel8zYNvUZRIVy9usx41OpjVtsgTDy0ymUdcmZlKVHqiurofcUyvNhgLD4+Pj1aK51atXo9FoBDu6/dqv/Rquueaa3c8wmWBFCdip/gexGM55DG6xrzQO+4mRj86zWt/JcgNDB3zVqMy7/qGlP0wS7Gjgka5gB8QPIOov8rxLmao+1oJACZCoBQtTKKBQAFKhxNEeaTeIE58ocOBEmXtLWiEBGmcYubyFSmJskGqAbvkUIJgo1HEY4IR+f3QBV91vUZphBqB1CYmM0wWjID6k32oXV/bB5QMGEKM/tHIM6PV0ZG7K/WFsYFED2xqgaGwum7AGzF8NaroADXXOZILHWFHzyQHEdVIAbftY4NGexPDrNNlXyRZGsJIWY0sf3Xdzs0AqOODMrDhiQaACUoN+oxIOAmAl81c/0kZ1XrseDaRWmuGS+TMqD1AfKa3g4NFgoDMIttIBjySOKyug42ZIOLwKFNYYSC0vY80txjZCz+wubBNAnYJuWhpxOULyYMUpQX01boZmuXuuw95bAlxrAR/1qQA0qXSxUm0oMPzEJz4Rl112WbeBRgMHH3wwrrzySvaeLVu2YOfOnbufYTL+eFwcr3FyJoAtRcm1WUxqKJPQwQ5FjwRTQWoLraoI8tG9CaqIX1EGK3MzQFW3KQ1w+j4Z6TjabxxUQTU+8RCPzmm3NYTOl8TXGP1grEl7GfnRpoAzAKk5j6OBOsn8WVUzOBD0JzExmmFPVhDHDPOJjwnEDADtxZHsZ0PxkRM5a9c6BjhFX4eAj15P73jw9CSv2irz6MaRzHDdZyGAJueU+6ALHul1WjnbE0kb2EK9zuBxfwA4SZw8vE7AZiXpEwpXVsDADh23PvpfJq2o41sVExj7GfQb8Qk00CQOncSwPiCTbFj3rgTj9bWU19ttS0gRej68ZnEJqnrx26JvSHxelSDMuTxXg8f63gmrSURUX8jERh1y8VimjYEA6o7sg2lsM+ojFraVUoQBwH0UM2ywvIyZFX3QFj4luGaL8ZpcwiGZ4fJag8oUGuiu2ORSjrFyNcNDLaB73vOeh3/5l3/Ba1/7WlxwwQX49V//dXzhC1/A6tWr8Ru/8Ru477778IEPfABPetKT9nS++7VJQEExavi4vftaPgJmO8OBAC7GrtnAhbF47EebmwTQDZY3AZygx+m11tl1gRjJ2QDd7NE5rfIrr8ecEBBwHwBbwwdcwsH6IHh0nnXfLQA0Z704qMvKGAyoc/kCnyjQ66xf037zpAgxzPCe0Ax7+l8K0BjgjATdMUBMgnvKfoYL24gPAZaeBrqhsKy0LT0OBWJ6bvXOUhy4yOoH9P6UTzsamk9m3IcNCR7tR9r2AjrnMTibLFngUQB1g5Fz9dRKfEABnAzcl3Fs0C3lGHwxnNFvDXE9Jmvd65syTrl5QqFPYmhuNUjNWFvlsbKrCnBJDFADGFkZQuvrwMermpHze62RdXdPlPpfTefcr5ZvJREQ96GnsVUBNNnyGJCMqagzHMHyyj5gpeoY4OwwH76AjlR5cNjXBhm36rs6iNMDqZVmOAS2gVynJYBtz3e5xXOmoHu5FS66K69npdpQYPjVr341br/9dszPzwMAzjjjDFxzzTX49Kc/jc985jMoigJjY2M444wz9miy+6vVjKD3qJmcK0ChoAkEKRrugqryMEd1zIecK6iPB7rZDy39YRIMtCF5MKtMAAJAU8aUA0sTiIEAClBwwLogbkIggJhbhUNlTHlbpV/1fsJe1MzjIBpbHTxaAI2y/bGA0wRVfeJwAJ2R4xFgR7BrVh/Y8gERp5B9EAI+Cd74PaVroD32k/ZpKIkJ45SH2KNzuoDNAS4cdNPrrOMziYA11gSEBADeALaZ4RM8npaLx8g9xXPTxyCQAijxtdzMRWq0P63KEBTci8V9ATNsTEg00F3G1thxS1rha3nlxEMwfyVAMrYI1nPTfaiMh05iyr95p7D1vwMATsq089rI1dvMne5oabWAnY9aENhnAZ1xPVpliFryoO9A5zLDxhjQ2uLLAYC2JA91bktSJtH7uyyZYSVOyTxX2uRHGxi+++67cdZZZ1W64cc97nH4whe+gP/8z//Evffei0MOOQTPe97zcMQRR+zRZPdXk9UcSuMglYMDC6SGj8EriCaqEuiAMwCw5Ze/yE3WhKUajro9R8tLgHoA3sg1SwCt64xtRp2DVHJO9AGfRNRITIJuD9xz9pPG10Fq9bdQfEjfUJao9GFMMjjL6koEDMY2Xr5AQBVsCUdH5BYziQl124OCe7B6xjS3huPDgXodn8ZpG/0WMNC0D7xd1srcAma27hugBlwS3PPJSs59yvtAsqzKWJef995tOIDkIYxft1f7xEkrMnGdUK8zANAVQHKeNhgMdAA4LYCU1SCBfxYdyUODSB4cn3CsdaCuPdavwU6ZMwfw9OusYpNFHAvAUx+pPTWZYQFSq9w6DmNbcPmCJ1WxahN72mRt0w1XvpDpY9AvjspAyzhK+TIgBN1M9iHGugScXL7Q4GXfWjXopr4esK2Z4Qb722pxOQiTVljM8KNNJvG7v/u7+MVf/EW88IUvxO/8zu/gwAMPxMEHH4xTTjllT+eXjJgFRMtzFCWyx4+kDYGf9QV09NdCxKGSg7woqg+aZMokeKQsTWH8MNlMpl3f1Zcv1MdpJ1g/6PDiWAApqPPr5VaG0ZlhyprX+s4uDAl9yussgjFtZBlbVV22wxg5WgGD+HqP7s3KEPQ6Se7dwzEgVfYNVB/JpNL7g08UCKAw7qk8uA9tHwaQYoA6AWn00bm8p8LaxKSvc5pb2Afle8u8O+zeEdfTqdsq8ytzq3LOwMEjybn8WxSFqcuVoF+LL32YtCLWh4DUDA5AygSTarC8oUyC5obq2rmPPdYWgDY3HsmF/lcFSLWfzM2SY8ixluNWkHtKAjGNTc4sCYf0MYBgNzcOhlU5Bu3PnJQ8azaqiXZe+JphS0ZjaYY7eYEm8fEWtmlVK/rJMSxmWFuoF9R6Nja2oLlJH0tyQXMLy6RJyQMBtmY1CXmdRCYhF9AR3fRKtaEW0B133HG46aab8Pa3vx2/8Ru/gT/7sz/DVVddVd24yfas1T9aHKQyECQAJzmsguSytRqEUL2sYFKNR8A0hwBUSaBeHefsK5N9cPysLgikYAvwpBVgP7S2vlMstCGVLli/BXEUkKgsYKPXw3xIfAtwVnlAMLPI9HEjExMtfmkUQAcTEnHvUJAaI0XwJjExmuEuU1bHsXy4lteeYAWAs0H7muZMfILtmDUfG0BzppsW9Nd9ynuajlvep98qsEMAEu0bTSZRApcKQFuMvgBbZe6ybxoiZ3ORWsDyEgBNQLcFUsOtonVAYVWTkPpOC3TTHCSbbDPDUlpRH9fAYzcOn5DQOE3leqTkwdqQBKjBjgSpVvUF2gf1WIc+TVEOzSrhFi4uDHPzJBz0Eb0sedZtsxFeDxmfvKj7h0ouZByam6yn7Ml1Gop8IWDne7mVvxMWM6z5UAkJ7bPSR9P/BjKJYDMM4tOqJxfdvyGw7V9NQr8/3AV0ZTWJFVxabShm+GMf+xgeeughfPGLX8SXvvQlXHbZZbj88svxmMc8Br/3e7+HF77whTj66KP3dK77r5EfYAYsTbAjHwET8OoAFxAgxlleEJ8aI+ZFwQBwZsQB+I8JB4LG9UCARBpfgGs1PgFikODNmCwwH68yhIxDcyPXTBksyk6HrKTmw4FLQYB6CNA4QCrZZI8ZNusZs3HL6i16BVCn96FVY9d7PD0MM2xNLugEywPdDLwZTLvrIx5P8z7gi6poH9DJEv0xk+yrLftQgK2Y+AQbTtSphYCidzL4oWcTEj4pM+8pBurocRLf2QyjAt0N0Z+SGS7vQwFCmPbVYfTpPcXjGKxkIeMYPiIOWwyngMdyPDkzTIAY89FBaijTCPtNPgaXOdMbJIYZlkC9Bm9gPmFt5DqOrU0uVB82uaA+nRAkauwrXYxHc9Z8qu2YDWBb+WRhnH5a3oaSW8DYRm5s4QNOZaJgAVtxfyy3bB9r0d2y2A7aBd1VH6xcwnQoZhgADjvsMJxyyin43Oc+hy9/+cs47bTTMD09jYsuugjPf/7z8aIXvQgf+9jH9mSu+61RsEW/lcNSZPWPKcSPWe1Tv6bfiQVh5HyQSn6cCUgNGUYaR4LU3heCvE7JSjKf+oS1iJACpABQ0D6Q11P+0AKwHttKppsz0PV1qqCKAYrarzymgbfqkAoS+WInepz62k8BbH1nWAGjbsu6zoBpj1jcN9xuch6ApkCd+ljSCnsM9CogCoBmLJ5xH+YC3KO2tiiTVjGMEOPDFmLpj8ElGNcYUz5Z0iYxdNxqgFbmIeM0gv6sgSAHqSI3Ch6Nz5usQMG2iq7aksBWv3cLNilzJA9OH7gsLwG2rDqHA1JtnXHtEyxSU/S/suSYZF/L6+GbfoDlVpXb6jVTV4YQk0LlPqw1w7ytMm9NCuCCbsrYgty7AiTKOBo7by36k3G8Kg8x+l+LAZfAtpPnXGecKeM2EBjmjG0lkyDAVi6GCzXlYZxumTRlBzoHQAea4QB01zvdrVQbGgxTe9KTnoQ/+7M/w2WXXYbPfvazOPXUU7F582b84z/+455ofr+3SnMoFpxRmQRlHt0KB4KxpRpbpu8k7/G1r9UJl8WjP0zUh7Ov9IKEj7VRh5db3ZTrYwFLC0BDstYV86dPCCQjl0f4ZMKHjzUFaGQS4YAdT44Ro7Et+6f2geFT52FXzVAe6w/oI/uASzgsH35/8Mfg1vXQxVv1OEgm09JaM3a8oYP7Ghz04uRcm6xNPKqJDxRg29C1yZKBDiQC5f0p4nfbROhjMKnBBK8jcwuBoOfDJhcF3xkubjOMyMVwDOxEynWoj3M9VmWITi4nPsr9kdXng5yDfuOMrVkmzcutocQJ+k3cu72AUvJAfQKZhJqbXuc3YEwjF+rR74OgAgX5nmT1f5WcK5/ycyB8YiQP1r1GfQap6GFpeV2fYGGbMm6ZZHnlFs4Zi1+257LJI7DpxlAyCcu+//3v47LLLsNVV12FLVu2oNls7snm91sj2NFnOLP6/TUQJOgEkuEkDdLHnGWw+lQdh7jkBZAx9lWPwx/Rxy2gk49AZQ5qH2RV9gLw+VperWoFZG6FjFP69H+sXx6ztLR0TAPJgwZ2DNBfsUHGdWqTmOApgGTnGXikPlZ/Cj0z8YnVDGesLQOEBJOy/uCe/gDGXw9nhs1FYtakDILRV+oZy/tDjoH35EAFqdB9araw9BHsa9k3QLWoq999SHWXFNRxMM7Zebp5BNvymDKPEnBqk4sA1BkgNS9sYGs9oqfg3t21TvhUcfgYtOUYKIy+nCwFNYMNMKxt7hEATuOzo/po4FGAnfLekZN2a/FYt70aPNJ40ke/nvo8oOwMl5GxFotMG1l3QTGVY1AAKwG0qv/Nys8vjaNPsAL5QjVuIn4z9JHyBW8MJNMexSZ3dJBKzeqDWjNcyjGkTILWGeYL6MoSa+0VLJPYbTD8wx/+EF/5ylfw1a9+FZs2bUJRFDjyyCNx5pln4vd///f3RI77veUEbdnaV7tElwV2wLFwjaBlqSnqAw4CKOh2QWpWv581x66HhalOuY/ohRSgYte8Kg8eY9o73nAWwzFQBarl1XOT8gUOEnXw5kkeuteqjzX1DcvolW3FM8NMl0vYeYtJpSBAsq8m4IQEtrQt6D6kPckwevdheSrsA3I9ciJH2qrnSvqiuxqkZsRH74OgdFYJUg3WnJ4LWN6AGdaAC8+N+3DAF5RjU0FVfR+yOrJZPckr1Ouh90d9XMu5Oqftvib7xtwMAwJ0U5Cqs4Vscw83Tt03RQDuw+uRGtugAoYGduQYCFDlM9A6eKQmfWqZhM0MW4/1rZ32vDgBeMuUPuiXG7mnyyGljGknL9CmFRPYZAkM2NLPtS15kLu82eBRkyKYTKrw4QvbjEVqmYxjlzyryqSVoDvj9wIAewe6zB5rGaf8npT9Jp9MryQbCgzffPPN+MpXvoKvfOUruP/++1EUBX7qp34Kf/iHf4jnP//5eMpTnrKn89y/rSYr/R96gmwt5k9gYcIGFQzsUItf7GSBVA44aVsW2GlkOmNKAY2eGwWJJL5TtYIDaCOOKeGIYIZrN+LTH7yV5+Vxyqgz0A8OqkIgGPaBPwYem2wA2wB0h8cBCTgluNfjhJthaLk5oJvdH/rua4AEYmA+Zs3goORZmZvd17VPfb57XIyBBqqqOCVI1QEabU8C6HDBGQIfj03OKKAQMgmgm0MnL0yZRF5wdtx7cmA/WaLAtv+kjH7eu9cj7kPleiwGurzXdA200P+K/qylKrw/GfMnfRQgmDU4uA3lCz2AJOLQ7zbJDGeKT8hAC/BmgG4VqJf3u3I91k5zgywsKz8LYR/o4K2TF2iUwLZ3f9YAWp9cMHlLQ8/ZA/2BHMOoDOHtAhj4aBMS0Tdy4xONGZbSiuq4WAxHTcahx6nvStYMDwWGX/SiFwEAVq1ahZNOOgnPf/7z8axnPavSDSXbs1bePhagqc5REAL+Q1f5SHBQxiAgBOKHyZYIUMDpgVQCBMF/mKhZDDSrvyuvh7qQJOguXhZI7broABoBqKr9G1mdfADelMV9NctLfKpr1Men/F7R2EIJ+vWV/30mMUyDbYGQjPRnLJPKwaPFQPuaYdoWiWMtXGK56SCkvFa6cClOwpEJHx1A22Pdv+RYCJBE/PpyomQSciIptckasA0nBKVPfV72TQN8fCqWt0H7QKtNXL5f7gJYtxWzA13W0NnX8lz1fShYXnPi08jEPdVri9w3AAFbYqzZLoCZnlvAtEdsbOGzycInkAgo15mJvhaTMg2ISebPkmO0DNacnusH3lTAF8TRvz9o3p7kgOYmJQ/l305emGA80EbTvrH0vx6ANzbQoJ+3gH0tjwstLzXpQ493/4aYrZFxyQPNmf5l7TUbKutbb9QRXs9Ks6HA8PHHH48XvOAFOPHEEzE9Pb2nc0omLIZFlNpg+qiZgVQTuHAmFVYc8uXra09BfDhTprWl5UYQNOsDmhutQMFAFSBAlR2nCsMe0fsLsVicEnQDzKdDgCD9a1V5oOckqDKfAojrpH8tds1jbO3qHENqhpXjWm5MM0zuw4YRJ9QM0+P9cwtLq9l9wH1o34TXU09iFPAm7kOzTJocA4XllUDMAvAAL+sF1O1ZC8Hc3JxH5x1RHUOfyNEJSXhPZVn3vjG1vLmt/5W6WFXPLIGL4SM3b+BaXgmcerkV3Edjk2uGsYzvgFRDyxtqholPDHiU1T7MBV/9gbq8pwYCib1Tns44lFYYC/Uc0F09PSFPVSSjX967FoAN+pMC60a9UK8ows8o1SZbOdPrp3/lORWIZrZPs9EwjnvANqs0vpqPBqCbWYZcAdAyDh23lWZDgeGPfOQjezqPZI5R9pUfl8ClPl4znLZMovTrnQEok6rEr3IgQJC1Y4EQxr4KZpjmRj4nEnRTqQj9yJnVMQSA9sEO8bHYZIO1Dit31E71zmPdf2vsms0ml28I4weTCIOV9OUtdKxDECR9KPvaAFTmsXuNEkDr95SZm7MhSAw73hAg1dcZl3GcagEkjgeQLP2vVRKP+4D5egtJ5QYa9T3FWa9Mi9MbAW0xnPgohgyjAqBD0C2Auga6WX/ycSvPy90TGbCF3EAjvM6yPTYhYZIHcp2SySSft36aYcnoBxIjDdQF4JGDVE9jqwGKEHQLNrkcA+cpQHQch8msWWsvNwHuyzjOhiCx+lsOuguWm2SGNcApcysBJp1EddvSgWAZR+poZZwq58wHwzbLazO2w8gXLNDrAWhVWtHMkBf9r2clM8NJ1zACZtVQlTrW+v32Ain5Q1u3FcukShBSH2cgJGCgaW5lyt6CQHI9gM1KFuIHqOoDb1tfDyQauRl65lB7Gsah7ag5Oz70B73KGYZPdU1hnIycYOMmFz4G/VkD20KMQekWpRl2+jOYkLB7yr4/6HXK3EqzdLHxJdwE023kJuULOmOrf67qR+dlzvpCMIDIFyrwyI93jxlyjAoglT42oAiAem+0vaoEUjetMZkliwb0JkuBhCMEVbTf8lx8H7Kceb+xRXcEdOvsPO9rulCv0chECTfen1rOXVBX940FOK0NPOg5b0LSyP7/9v41XK6qShfH31WXfc/e2Qm5EEK4JCEJgXAJhqBcbJVbaFoBaRRBjhBp8NqittrQ2tjokdbWVkA9tj59lKZBtEV8ePqoB/WHetqW1j7dXv4INMIBL6CEkMvOZe9dVf8PVWutMeccY6xZlYRdRcb7Ibsy5xpzjDXXqqp3jXrnmLp8IduVTChF1uzzSCpz7zY3EaHn4163nKRSGz3Ly/rxSCLdsY3aUvgEOnjA8mz8snMUkp+ijK1mI/nx3z+Of78DMrFVM7YCgdaIbScEOjY2I8OGPULOAQjbg0+QaIWDsNxWbuPejE4m0xmNt0ko4UTODpoETSHQ9FxisoUktubhGavyiAs9G74yhEq6ASe2GF2su4DO1RnTMwrIThqbIDuhc5CTqrTd+6JnbZI8DHCVIVox0+vmEzSVCBZnMpvXNCc70q51fqULmaQqZCfh/UjE1slKesRWIkipXRpzvS7cH4H+123P/RMbaTOMYFEX9eNqT2NkEiFJbZG3QLetEbG0nfjxdlkLKmqwZEfOvjp+fAmHYCNm9H3STTJ8WkbQlVbwfqK2Ig5seMKp1p4NpBWcDdjYsq23s/MBsRGutZZhTPzsa/GDTzlxHwh87bpGEjn/nE36PaGRN3+8ImLN9flZ5pi+GD++TdHcMFODdK1WO9IKVf+b6ASas6mUeJ1xoIHuYpmEkeEeAP3pnt6HDY+EcIudADmb7C6QkldpN7z7lxKkOmmjbxFp17rmAjraTmz82FL/Df+nc+l8aGweESOx+XKMPDaPIFENtnQ+XvbTIXxpZikjO82/YbYwnAP1J23JxiNV0k5qfoaT2oqaYa9ernw+fCZV+rk/P5+UcMp6ZolUqdlkYd40oi4tbPN/OaBfCnVPLytdA02XS0u4ZTY+cfG1yRkRcwmSS7r57GtAuhXikttEaFyVLC+9DxoNuuAs7+dsHC1v3T1WsnHuKTLXHBHkfomhi1k5YutLYhz9b5BpFx5IlFJkUmZYrTMs3LsUIenmFwRS+D+dZ8//Aknl/NB2AE7csTZ+JlMldd7ircymYG5UmzZIdzaWMJ80xqw9nU9hAVvCEH+NqMsZ25Lz1+nzSqsVxaz6aV2vNJtsmWHDHoH+3M9lHpt9fFWEUuKYeERQznBKJNX/MqNlERwbxQ+NOY64uFlrCnkxnDdv9AswkkDzJDUlysTG0Rnz1yc93/A8/aw1iZn81crOBdm11Maba3qenFYT0DXDvg17PmSsoFSdc39IBDqyNrFDdpTNMIJ5I0RMyAyHxDZtJ7ppgTwGGVshm01tfGIrLXzk/fDnqUk4YmQS074Nc3+EfoRKBvR8PD/+vctluksl/7qlpBtOjOE2yS0fnkyC3d46HYtkprOPtlLi2EiLJYNqJ0wGOtN6Z1sr+5IYBDZ5NQnmPD0S4i9Sk7O85Hy8jL5IbBVS1w6x1WrcSlleST4gEVGnr4Msr5RN3tuZYVGOoRJo3kbMtJcS+D2FBFqQTwByOTbpXmv2d39pNSPDPYB8615Z35mAEEGSxQN44pTbpMRFkRV4T3MceSx5hDN2QxAKkdzDJSGOtENaVAV33tyMLZ+VdKQVEqnyiaCSyax7WZqMuPjXgCVVcGydSyCRRI2kJvCugXssR7rduQkzwxzZaWYvkMWc/TwdEE7ZT12YTzpv9D6g95SfrawH9XdBzqc9YuuU+CMEjdrkBImJuZRE+fG3FXZsJCmCV46N002rhNMn6hE7mfmEL9BNl8LYaEYf4HSkqX+hDJbzwOrG5u/mRm3cRXdkbiS9bISWNye2iXMunI1fvozNDAuShyCbHGwrnP1XJOoUvp9QlxuYiGQ4098KZLTtn+hL7vn4NlLGlidiYPv86xYzXieku4ikcn1RRL0DP23rmZn2ipBpb7YJ2eS0NnE5/fwwmYRhD+AStLxdyr6iATlbqWTkEEVSKemmGVv3ZhLlC97P7W5s5HxIHH51DFc3zRNLv9KGqmdO8nbxIcL7aZaeD3eeTRuPHLAktUD/yxBO0Q/ibPyyYtSfvOUxAhJCSaLrJ2nZKFKEQDOc2rjEVv7lwM8mh/7DOfCzyaF/apMTztB/QFJTm5I7N+1sk8xmUoPYeILkEkFvrgUpQEBsnfPxy1O5Y7FzEKNx7YB0+4TPf8gUJQfOtebvKalUnVSfmvpR/Zd8Au35yR4UeDkIjc0nb/QzV9LYFhE+naQKtWcV8ij6aYM8AuEDlu/Hlw9okouy91702ztbQBeYyARam5tCP7KN76ei2EgL5YrmwH9va/6B5nWTMsb0r8kkDHuEVNrQ5IEaqUs//H1phUuEciN4ZCdrdt4IvrSBIzslj6SGGdu0Q16kppJu8ed2KTb/Z3Bq4xPovFPKFkYtHvPGkrZjduUL8Ei3awPGj/yF7sXmyDQICXEy4H5sPkEKr7V/T7kluuTqC7EPZfH1f/NrLZXRCyUHYGzA2gQESdlQICC2zId/qFeNeSDhYyvWbcv3B5d9DbOf6QNW3h/48QlfjEzCI2LSBhZBdQyOjPrVMYRr4MjGPKLuk/58buTz9DO2CSc7SXhphf9A4iQTpOxrEeFUSWrQJZPUlNQxfeVSwhJOv8Sfb9OW5KF132qkrh35wp7of4OMrWIjEehOFtB1IsfQSGqhH00OUeIfPLix/M82yY/JJAx7BLr/mkrqiAUICWlZNntcLuxbZTZiJpVakC8ZJO4HVZixzQlanWn3beCTbmLDEcGWiUyq1IeIvF0ib7kfjzxKpJ/Y+IRCqyMbanmL/cTUGaaLqhqODUQbKpehDxc+cdE26ogltlQO4lwDct38MmncddOyyXSuY651QDgVKYJcBYS/P5t+hMoQ/g50lHQHpdWKyaO4GC6Qt1AbITPsZ0zZectjZ/3kU8DIPlz/TRuw1ye7D9NFpr7+l1wD//r41TGy+cweYpQMeDafeT8QSWw9G6dPJLayTeLVJqZjyTY8Sc3uQ4YVJIlAbIuIOuc/Jd17ISvqXzffP9enlS+TsskSQXTjjiOPWgwxxLYdyUPR4r52ssmVrL3EHs/dI/681UwmYdgjZF/0MnkMsqJkV7Rmv2CTugjIYw4pI+cQl0BnDNcm8wOHqEt+nK1evcwfhSSHIG7CqhX+lzbV0gq7yYWLx9J27zyZ66PpcpsPEVxs7oey9HABEMlBQCjkrKRftYK3ce8bPzPM2ZT8+7ARtnOxSQ8x9PslqMwgkG46n74UgM8mew9y0gIpX3/MEKRcqsITQdaPl5WU3m+On/QLiMlAB9lkYSvgUJeb20x796GkpW1ff+t+AftEPY/Nv3fJ+dSF8xFirtfDUpN+ptvPcNLn8vQ8fe6kEU7/PAMbNmMrjKWQt06kCKUEwoK35l/5p3Mm5gICq5GtYD4V/9m8SdUklDnYG6Q7hkC35Ud4INCyyeVObAoIbEUh9/4vBNJcU9IsEmjmfd1tMDLcA6h7ZCe93ZySZ+Qe9Aln829rLDGT6sshGP+ZUebJ0SazMbc6HZIqyiSoiSD7gEdcBHLvL7Thsnglb26gaE/jFqnx5F6bmySBc+3EDTSUDGPDI29BzPAeLtjYwvPxia2/gE7KDEsEmpub3Cb30y6BrhMbMWPr2Ti1Zz2iIz2QqJUU/J2/kjRmZWc4MZMqVxjIyGMWB+enSBfrtudzQM/Hf/hrvnAeLkq+FMDLJpcYG2ne0thad0lczV5/Dngy7mdsaWzUB+13+oRsbhHZaZukevPpx8ZlbDvJJpdLiVjJQbIplHAIfrTY2iGceyIr8Lueq+xrOscc4ZSyr3GSBz4DrZLhSKLefMjnYxNjJuctZoZTmYRphg17gjzDmX4zNf/4u4Wl9yGn7wTJftKWnKTyWWbAzfK6flxtspPhpLGRmB3Jg+fHr5ucd4WVDPLYhIyp80Agk+7mOSV5u0Oq8mMCIsicp0SguUwV9a3+3M7WGXblA3Uvtvx8iol6oO8MzofYxGiGFQJNY5AX6ikbdYgEWq4MEVwDtqqJJJNI4+POUyK27jWI2V3LX/gY7vJGbfjFcDE70OXnk4R+Sr6Nv2MaGD9e1lqov+vHxs6bp//V3lc05qat/wXs9jt9AnnTyKNElP33DkVSCjPJmn8gfFDIbAoIkpaxlUurycSpHW2yf92cvkTPvorzqRJbn7zJ8yn5idH/dlImrZMMdCexSTYq6Y58iKD/l/r8HehcGz8D7dYzrtXzz+pug5HhXgAhdQBPdkBWwxFOF3wxSXrZZkaOz2Q24N+8xE+WMHXZgZ8xLWVsmJAQz5ec5c0nQSO2UuavSGObnaeiM45ZpJbA/WKUdLnSznBATkaD6xZFxOD81bYCrgXEtnVNPd0HK61IHwgYcl9MoCWbdD47WXQnZ4bDcl95XOKDnJQZ1qoiSDpj4UGB9mVEjPkpsfnwmdv4C8HoLy6ZH2/TDalEV1AXl95TNWEO6sqiuwh5ScnTuErZXBpXUzeNADKxdd877nh8n9TejLmAiAnkkZdWuDH6ftrV/5YSnWy1U/9XWwznX7cUYuYxSRdVBSYZMZKyr+oDgZCtbEeK4MuSOJswY8qPpcUQJV/w792ozLBwPu2QbinLqxDb/Bp4hJf8P6h0UQlj9ku1dguMDPcA6IYPTruiE2z4Nimp8lLDab9Hq5WMnLd1rkRS1Z/OSTtDOKmvNLgi+ULakv6tO5k/eJlUn9iSuCUCTVcKEtu4DTRcgqRWsxAItP+gwGlPfb2qvuiOj03TnvpaWt5G2l7a8+M8RGjbMef+a968xWiGpey8+/AnZV/d8ww3dQjv3YAIBplUcj7+1rkR1436p/4o/GsQEmjXf2qjEnUybzQ2jVDQhxUpNjoW/euPpdlIxJbNJnvvq6xdI48ZQfLa1cVwfF8n0orsWouZYTlmaaGcdt20cluSTXieqR1Xpq3VJ1xrTTMcW+GAtoW/HPBjaePtCeluR45RVmIrIt36vAmxJf5YMrEtqugBcJrhUtA+bWTYsKcISJVAbAFKdlxbn4ilBwS1fJmf4fMu8sXoEFsINm6nm/mjNh5xyI53iRNno30B+jb+BhqOTMLZ+jokdf7njU/6KcJscqtdyM4756NVrfB8SfIFbSFWJzWQxQVKirRCzKhHaIZFkur1adnkvNyXNze+xIhc2GBL25I0N/l5hjr0xDn/tI3LtOfEqRWzEhsdC5DJG1sGy7vfG56NnrENhkOpJPnhvzTTPo7c+9lxf6y2iK0wFm2TJQ/F8xYTm1TnV89Ah58hdAx+DjrIJpf0msHSNdUXBPJkS7pvOD8x2lfp4YJ9YCzIvup++Jg7Iba8H2Gr6Igsb0BSy3w7fcANiW1KUvmFdXTcFJVySGwBoFpRMsPl8DzpQ3g3wchwD0AmLvkxYVbSzWQmWbtrk92jfiaV3NMNgYjRrXO1n7QBIYsH2Q/IeA24hE8ndVxskk0S2DiyDwK5ygMJGXGyAnqeTdIfkhD/fGJ+bg9/0pbJm/izvqYZ7iC2MDMb2jiaYXj639y9OFYnu8lpcxNmwFMbfzEcvQbSFs7Kg0KgsU2c9jw2jaAFXa0HubBdJzsCodAIXyKRLYh+/N3P8naJhLj9jn+JcCoESSL3RRnb5ngh2SiyaScznFbkaUv2IWVsvYWc7ngCsdaqOYh++POMkghEZh7pOIFMQiB7WgyaTX59eJLYySI1aXc+bryYTDdHerWxuD6JQFdoZQi/r8ITeDebXPJsmsdSPfN0l1aUMDLcg0hvRWfRG/hsof+F7hPbFCTJ65ATOlY6TkJsivzTGHw/zbEIcQoy0C2bRsOpk+YQJEmTSrPWXmwNb27STl83LZ0PtVX1ssFiuCZiiFhIuuPlC1lsHrHVs5IJcz7CQqzsASu1iamY4J2PpBmuFy+6y+vI5tc6Ha5o8RhHUv0HEulhKahwwGRSfR1pnMbW9aOVcKNj0b9+n57hZMYrIlUC4dNj4/tUKUIbRLDYhpkDMTPs/o2yKSCc9JiY2PzFin47n80tIP0C4WunKkKC9H5n/IjzKfuXtMlFMQN7J5Makxnem5KHvb1QL5ZAq8S2zOu2KyRTLPUFhFfzw8gkLDNs6BhxJa30jFzaE7PDWPP4fCyxAoW/SI3R5aaOqOawkadfWVKX+skyf6AElieP6RlmfUrVCn8DjdxPTrqLftJOHUVVk2j9nyOc8G0yUue4ifwVgAwKn/C5H1IxC75KJHY6XhibRxKZ2HwyKi0i9HXoNEY9o6//QhFkX6Oy5uk8hDb+fSjuJqdkeaUqD74uV/p5HBCyvCWBcGqZt0T/GZwnXFLGWPYj6lWzbG4SHM+1p/652HIiKttIkgddFyu0tzHXfnIiJjbtfMqlEptN7mg7ZuF8dDKu23DzKVVMiMnOt2NT6Ie9pwUb5f6QMs0lQQqh+omY6xgpAm1v9nkEViTQHdi0KZOwzLChYwRVHlIS4pNUx8Y9NicOxCZJSPbVreXrEE5p0V0DjhG18cukOaXVCOGT/CTEiCaG8z73PP0vGT/L7M4NnzWv150EtGOU1xl2yYGqIw1kEs32QBPKEDEE58NfAxqDLx/QMsMNj6gnDIGO1QyHZd/C8yllDyucHz7LKxF1n3A69653v0u6bWkHPO48s7H8TSoY0u2TR3rf+tc6H8udGwopY+sTdccm4T/Y/QWW/ngc4S0mtlzMrm0elzaWa5vbuLaOjUCE/OsWE4NObMH2FWXnaSz5WJqflk1bftwYU6g7w5WKdMZCXG0R+OLzlCQk7UgeOpEixGRs27ERpSLKHEgL5bSMsaT/rUgxk2ysmOUtK1leXzNcCbO81D9vE55nt+5CZ2S4h5DeZlkWTSCctC8kie5TGd19LR9Lyr6mGTFCQtJ2aZFaZoPARstwJoQ4OFpegXBm5JHxH55P3k5tpN3sXJv8nJrtbcgkWBs/k+nVkWXOpwQ/Nv5au9UX9OynTx7Z89kLC/VKjB/3/nD1v0D+QR6S8dzGf/Dwr087meHAplRsQ+9p6odCzvKm/UGXSFLzzDDfp5I6YTw9K8qTAMk/50ciyZofSToQZaMQaL+raJtkPbZ4ItaJ7MOvNsL1tTMH4rUWiFhH56n5l/wU3GucTRHpp8f4fvZW+bJCoq68FyVZgS5f8HW5gnxBqwwhaIadMmmJHxtvo2eTmWoSJpMwdIpwK+LWF71WbstbQJe1RyxcCgiNT6CzroYneaA27jlwcgz/I8KRApBUM5VWJJ5dQ8jiqXrZOn8+4XyS2IhMw4nZr3TBLIbzs4WBNpqO15qDUtafkrriXcmCOdBIagF5TPt4Au1+Obe3UI/z4z6UhbIg93y0BzyJ3Ie/Anj3R4m7bu5YFP49lUKzKSX8l6lPul0boSZskvdzfe1KK0olnqgnGYENulqZ7vjziSGCUja5LQKtkap03oTYtAcPWfKg2bjtiUKQcmLLj9XWz+0qsQTbl52PMpY/miQ50Mp95SXP+HZem+z6C/yrfhK2XSW2wsNFO5phTW9fFjS7HS1sE6o8RNlofvzFilFyDK+PWXRnMglDx/B5bXpfaWW9YhZVOT+3MyTEHyvto6SO/jxNrdQFdMQPT+DdjJibGRZIHYkPkCtgUJsigkQRLqBLiVjeRmN2bAI/8ta5krQihtiGfvgHH9rnPV8xdYaTwMYnATEPHgFJFR48uN0TfdKdfiVzWV6fPEk6Y/f+lGr5ykTMJ/2+jZwZDm38+9Dt4zW2RRpX3Ybvaydbmdtw/l1/gX+NUHhdRaSf/g1sVD9ebBHZT59UaZtUSDFIhJP2tZWZFa5PImQeHRspk+mNRceQSLeU5dUeFMLzlGPOdbnxWxFLfvIHErnOcCA7ibg/YgknrdksZYBDktx+/d+4xXBeu1IZIi2hVlGkFbTMWnO8JGifnKqhG2FkuAeQZ0XdG9fVDPvygayj9bdFEl0unJNHuNlXl6ARm8SNg5Yio19+Tpk00qctoAu2Y07b4UsryHkKm0cE+mOWoCXZ+YbnyW8eERBBQULi2iSyDeCdjyCtiJCx+NkodQc6IWPb8OaNj8398FUXlgVzkKjn2QC5pt4CR7mMXu4v6AvaeeLSrnzBv9a+jUSQ1Ewq40eMLSVorI0Qm0LepKx1cTY59C8RW00mIZJHYSynT7RRzsfri9H/ShnbTnSxamwCgebnwB03HMs9nn7mS1UrJALP9hVcA+6BqWhutHu3k3Jsov6Xmc+i8mWcNjmTNggPEZJ/zk9Mxjaa2GoZWykDTUirT2zTYwPCW1ZsWn19lXLWZmTY0DGkL/Qgk8pUc9AzjAkov87ylQmcdrfKhE84qbSCjBXElo+VLaDzCHQgOSAErWg3uYTYNdvzWJC4N3pMJjXx5kDawlmSXNAYsuvGVCXwiUtHkgd/MRxzPkjcR6lAl5u4/lM/JTY297y02MIsrx9zSOqCzH0qofDOT8rYNm0ToT0wYX/+1cZKx9GIrUxSZT/S+bSTeUzbNGmFWIGC86PojBMUzQFPKDohqZ3IJLS5lhbqtUXUowh0GzYSSdQeSAqIupRJbfYJsQnEVotNIrbN12D7xPnkMsPSFs7ZecrzKWmGdclSG3WGRWlDifVPs7wBgZbGUvS/GbFVZBJhNldYQEfGlkhvO2Q4/b+TGZ42zbChQ/gaW46ESGXKcpLYahdIKuDqb2l7mGVNDVzC5/onoZG+5gI6jyBlfjwbUJv8WI44+WQrzFbmRjEZ2wTuF6Msk5CJrfwTvXee3HXzvpylUmR0vICoB7WJ8/44LW/R+TCxiQv13C9NqTIEhUQstYytNJ5Odtx6xkVj5Tbx/oE0k8oRGtfWH49t76AyREYC2AoU7ckkktb9pG9f7NukpI7xI2WTFeLSkU3iHuPHptbSFQhfO9KKkuangFi2k/2Us/N5g0RsJZkGF3dRZlrrEzOpzHtLkn3oMgnBvybHEAi0lH114hbIcNie/1+sy+uTcYXYpoS2KrQDXMaWv9YOsfWJMkNs/fORssl9JpMw7A0EC4qydvnnaX/RHZdNpu3NPmTjuySIGuQfYuFP6jx5pH0Ncj4+U9e26I2tI5uRbkUzLBGxgHCS084WtgXEVn64qEVkbAM5RqRmmCKsV+u2537o+cRoaYXz8cibL1NoT9/Jf2m7NgJxYYklP56esW3ZCuRNik2VPDCfrIU2wvlwRH1PKkPwFSDafSCR50YinFI7HT/Q5Wo2XoyZH60yRCF5VOYtuKfS/sBElDbExcb776jObzsktSAzzfWVCyQCWl+g5VX98DbaPSXLFHiSCmiaXWksZcvjLGMrZ1IrQja34mdYqY1ARtshqVLVinKU/rfs2eTH9Xl9WTa5ajIJw15AWEM1JFW0nfblXxhpe368T6CDLKvXntpkcVEbcrwfW/OLNj0XWmfY/fANCTTxJGagJY2tnzUncUuZdr8qgTI36Yu4UmQucYhZqOeTgHDBV8LYJM5fn6TymeFWf4SEI8yoS+QtaCYPcvyXmS558Nvdv3wf/4XeDtkpziaH/rOMoJB9Vcm4QhJlos7btO9HXwwny07k6xaQxwjCKepItYxtGw8x8rXmx6LHtiV5kEiq4keca4VAy7EJ7SV6jGCjZoZDMsjbhMf4Y/jvK01LW0T62ymTJulltb4oXW5AbNMFZ/J5SvKFqlDJodnHE+WQJCtZXuE8q0o2OcsMC/5Zm5Yfywwb9goacElvlkklzb7uMdSrtsZSMsNhmbLEafdtiGQ4IJxuBtrdwtmXSWQ2YskzVwrgnqcXM+M/JP3ueXAEOgG/gA7ZF2DrfJQsb6PuE+jmH7+SAkvu4Z2PNzdcbBIRzNqcOXAfCLLzCbK8+f8bpJ3auH4kkuzaOnEx7a4NT3Y0HWnohx9L69NJVXgvumNxNgUZ27bIm+KnpNeRlWJoZwFdthhOlS/whEY7z44IZzA3CuEUYwPb7thIpK4NP3oFCsFPdg0QtIs2ezEzrFWTKKqxS88rjyEc17eJJb1Z+TTmnsqyvF6ntK2w0ydlbLVKCoL+ViK8QEhgy6JNQmy8OZBkEmSuJGKr1RmWssl9VVnCQW1o1py2754yzbChQ8RkUgGejKqEz+VHjkwi7aftvo27QYJM3ihBcsqkebrHQPbhKpqz8TkJRx5zEviHZ9PJQjCxHJubgHY+lP1KCiUmtibh1GJLnPZ0HJZAa2SDxA7IW3xT+Jlh2q7bhP7FbKF3njE2GqkqIrZ7PzaBvAkZRta/QChoDCJJFAisTvrDGEqlgtiEa8B9gUhEXZVJpOQ6uAYyeZQIuZbRL9blBiYKUQfbrsWt/qpSQGDby/LyY+lSBH2RGmsjZBjpcSGB7cBPNje8LjZJEjFrGxBOInmgbhISU6DLLQlZXiczLGV5FWIr6Hw7yfJqNgG5LuXzRudaJffkWidOO5VJzD6jRQAAcmZJREFU8ES/TObaMsOGjkFLkVG0s/tZ3g5ikzhj+iv/A/+As0CKLmxzxgRDuqmNVGHATSaT9uId6HLSkJ6nT6yJTUT21f8wDsg10554F0EqBabV//UffGKIuq9Nlr6c2yZIEnlTbPzYQpt2SKpkk8ankVR+LFWv2kZsYgbas/XHY/W/6jXgyZP+QOISJX8saRV9RzIJYSyuL4tZyUBLZb20hxiZ2MrXui35QtEDgSrh4G1U/W/k+ahZXmGssrJ4S9r0Qlt0V85IFbx2ObZM9tGOHCPT8rp+NMKXZ1ndsWhlhqpAZkPSm7/fXJkDJY+8jf9LjSt58GIr59fNkY3E6H+12BQ9sbQ4T6oakSSJ0+f6ybXBA0QnnCRJpic2MmzoGD4XpsQSWZtH3oKfwZOWjbuwzPm53VvZJhPb1ljgMoytsTzSTaUV/gI6lvDR4BvyufoZcGQx0+PdD2tpU4egHBux8Xego0Sd+qFvqFxW4M2nQmxpO7VxQkt07alMUsN2LVMlEeii7BYvn+Bt9iy7xvnhx9NtdD9tkSolw1hEuvWfzgX/wvXR5Rh8Xzv3h5p9LQk2EdnXYG4KpB1cX066GT9CDNK1oceGpE6LDWxfXn2Bi02yaf5f2jyC+kshbrdL5QsB4WzZKKRbrOYgxMz2Jfw1UGvpZnPASxF8++b/W1lWpTKDRIBjpQ10bDUzW+Hj1G0EP0E2OR/PkSlE1P8F3LmW/DcfsPl56yek1yXJnra41bfbyLBhT5HrYnmS6upIXZtcZ+z9rk8Qs7EEJVXc1sosSYRn02oveecTVj9IAj9+ttLX5XIx+3rmzmr5uuO3RWzh2vhqao6E0DG5tnbJTieZ4aYfrr31ZcbFK/jPyQE/VjvkvogI8n5cfzGxaYRPzkBHkLcgW6j5af0NFh7KxLLoWrNktCTVJtYJp0b6pWut65m99ozYytfNH057wJI10Inzl4tblMRoDwSRGVunT7o/fPJKxuhI/+uFEKX/Fci1JpOQsrlSlQduPGkrYInY0j6JJPt9uqwgYV9rJc8kyUE0se2EqAtyCi0zLD1Q+PpfCvr93t/Hk2H/uqda4ymrM2zoFFItXZ9wUvjSClbjmgj1hFU/3mI4b6EeWKLu6n8lmYQo0wAhkEHMTshZDVW6SK2ZKSM2EZUUSkniTGrelzj+wuoLCJA/xHB9cqaO2jo2COeIOhD9sO0aGS2qi+sRJETMQUCq+LGafnQi1p4fmbwVSRHay/Ly7bqNfD5FFRP4zGzrr0/eCn5u1zKcAeEUyJ42nkTq6PhSVQKJwHM2asa2oznQSSJLoCH4EeYtfe9wNmL5MppJFUhvsOhOIZzyQkHy2jvVGALt63ypFMAZSzmfSpn3IxFb+uuItrGEVA1CJdBC9jNcwMYfJxHeZmzFBDh20wudqPMZZIfYKpuD0F+YaWaYaoZ9m1RC8dX7HkE3wshwL8AT5mYkVSuDJSxsC+vvEht/a+OWlVcYIs9wkiyvTxwano6VEut8PPcLPZd2uO1aibBgZzjPvxN4aiPU8vUrbdA3s79jGyshAQpIUNClkMc0Bt6GA7ebm+snnqA1xysinFK7TCgkG13L217MnE1R1rxdP0VEXSPdoQ3Y9pjY9ExmXHu+TXIYs7S4Lyr7KpHx0E3wK5Efsz43fmzy+0CKO+qBRCD3POl2j/H9aLICKfuqankjM7aUCEaTbvJ/KTMbkldKity4xdicn+5dm3wzCv486THNsRL2dTNm4TiBJDdtiv3E7gCnZqAFG5VAi9nkSAJN7CXJg39PUhmkQ4bJa/8b+KlndmSvt05MottgZLgHkFJO/wsjaicz0t+0URbdeZIHTlrhyBTYxXBubEFWtMEQyyxmN9a8Xc6AhxU1uJj96gvuWOm8agvbxM09/Ey7Qh4lwqcTNN5Gz+JJNmFsGUELu9om0BlBY8dq/Q3IjvvX98/5UclOibfR/bj+Qv+yTXvSCj6GOD88eeIJX+Ic48cWu9iKtskPMUzMgi42apGaYNPJVsTtPCiom2GI1zqNLTApvgY+QaSkSnqI8AlnJ8Q2gkCrWV7JT0BsyfkIpFfSBTf7eDKqlQKTtcCxhJMfq+mXzwxr9X/LQjbZIfAVfm4AWX+rVpogfTRL68fmIo9BIsPc+zzFAMkmjw73Za81bTD3uTXTMDLcA/B+oc+JmPITfVxpNWnXuub/0zdA3VtZRgmvF1r2QioRRqUVeRx+zHx7Og636M//Qve3g+ZsfD/uIjWXeHvJbCFb2B4Jys4nbFZtpMVOanarU2Kr+JGyXhq5F4lLW+TRteVteGK7t7Kv8sKyYpLalva0KDbhunE24oOC0N4cn/dTtBiP9aO+d/g5kMhjM+5WXyAh4WOmx7ZTTULMjncgx5B3RSsmqe3U5Y2TLwg2bRBoaT7VHeiE+r+uTAJuXzYHMrGVNMehTYntiylfFrxWsslSpQlVWiFlk4UKGIBb95cS5YG+Sm5TkakevQyUDA/15/Y175dWSrRpNniMkGE/NXzS6oXZ65HBqhjPTKFSfEj3olar4TOf+Qzuuusu/OY3v8HcuXOxYcMGvPWtb8XAwIBqu23bNnzyk5/EPffcg82bN2PRokU49dRT8cY3vhHj4+PP0RlEwpMPpHdv8BM9lQIIWVZ//Zxj42VzIWWg88CCahIZgRYIZ8uqdaz7pRlmX5nzTNyx6r5oODsXX9uBAL60wutVyYH0ZMuTVBIHN54SG7eTmb8gkLY3x+RJIh8zT7Z0sgO2T5ubItKtkUf5J23uPN37MCa2Tgif9LCgEeji2OS5FjdiEK6b/xrI7yVRL8t8X0pEWc+kFvhp4/5QCafkRyBo1Lespw5j60TeIpJEgQi6180dqyxcA0rkJBuVcAqSBy37KmVzJcLL+omQSfjENj33YMOJCGlENbDhj3MXxsUtUpOyv83xJGlEwrb75+NkeR3CK88B7emv8mNpoFneWUM5sZ30Nsqgl3vWUE5sZ4/kNi86+kDH5rxTD0OSAC95wZLW9fSFFDOLnibDN9xwA+6880686U1vwrp16/Dwww/jr//6r/HYY4/hU5/6lGg3NTWFjRs34pFHHsFb3vIWrFq1Cj/72c/wiU98Avfffz/uuusulMtl0f65hr+bnE840z6HJEryAX8rYIZYpk1cZjghRIzuQOcTPmk3O0DZ9EKqTBGUaaMx5+3NmPkvQPYLOOvnbXTyyJMdzkQnAXwZLI0kNucg/CBRyWghuee/6CX/vI08N2KGs2A+WRuBiNK2dmITM92ev5jxiuQtmo2WhZfkJdKDAudHrtjAH0/HD0u78e1On+C/nTrDndxTMdl5yY/6K0BkNjlJIh4IFMIZW+lCzSZLxFZ5WOooyxtDbAUtbVD9gYxBCaxbOsz9Xo7R5cYTWzoWH3PwmsYcmeWVJBeAS2CpjbSwzQf93qcZ28H+OKpHbSjJ9XHmuiX4ynd/CQCYPdKfx1Yp443nHYUnfrcdf/jCQx2bA8YGcdUrjsL4+DA2b56Iiue5RM+S4SeeeAK33347Lr/8clx99dUAgLVr16Jer+P666/Hj370I5xwwgms7be//W38x3/8Bz70oQ/hvPPOAwC84AUvwNTUFP7mb/4G999/P0466aTn7FwKwSc/vfJhvEwi//BKnHbOpuFJK/z25igJaQ+zyUFmOHdF4nYb066gZjHr341P80ON2iFbaR9HbYuyn+2QoDRuvl35QgfQUM+Hj4GdGokIRpE6vr09+QI/FkCvaTuEk583ndzzfmI2b2iLiAlkNBuLzSantryfdlb+78l5tieTcG2LxnJj8MeSSar8QNCJH83GPSZFvnjMaycN/nBRUgS/T6q+oNhIDx6OLjbI8kr6XznLm/4/WKSmkMR8ZzY5NlEioO6ylo/njCU8KGg2mv5XWqQWu1CPZnlDyQMlvbmNtEjNBx3PzfLKxPaAsQE8vWUXAFfmMDxYxeyRPjy7fRIXnHa4Y/OS4w/Cjl3TOGbZ3CC7vXbFfKxdMV/0163oWc3wt771LTQaDZx77rlO+znnnIMkSXDvvfeKtsuWLcMHPvABnH766U77ypUrAQC//e1v937Ae4BUVhDKB/JjmheSEFVPPsBmeeGS27C0WuinmfVo+SCpYf8rJKxMQc5HqMxAfTj+/Ww2A4/ze316xQbeqCAjyMZQtOEEHwOfwXJt/fHaja1TzTBPUvkv56KHi6ZNGBfnXxsvRo4hxdaeZjiC2DJZwUI/UoaxjQcceW6S4JjAj+Cfi0HUOWsEWpgb7ReSIs1wO9dAJ/eSH/7aAJrOlyeP+k5q0ljyNSgLlRR0/W8qx3DPxV0Mx/dJMQMygdX0slIGOFwIRkkqn7ENNo8QpA26llci3XLM0vlo5cv6ha2JKbHVYqPvOZoZHh6Qc5hVwc+swT7ucADAKWsWAQDGZ/Vj7lguLy0lCa656Fi84RVH4ez1hzg2QwNV/PFLlmHFknFx3F5Dz2aGH3zwQSRJgqVLlzrtY2NjmD9/Ph544AHRdunSpYEdAPzyl820/5IlS/ZusHuImB3bkLgfboH+N3Hb03ESzob0N9vdBWxph1tn2P3SlIh1EDd16PlN/7oL2yRZgfwFWErAZnlz4hJ0tWQSLBN0/IXjMe3ZmHzcuv6X6UoAjh3k140fTyXQbZBHiaDoBJ7vK7oGXAx7QqA7yVqrJFUoBdYJUecfivjrUDQWwJFR15Y7LkngvOEKs9lKzBJRZ69bKYzf9c/dh3yflk2W7lEpywvIlRnkRXJy9lXMTFMiJhBlfwpi6gz7i8ck8kj7/NhoZlYktpr21ctGZ/pfpcauVEkh3EmNkFHn3GSSKhFlNcsrnI+UJQb8LC8veaCyCB+OTIKMpS0+ozKSEZIN7quWMDbShy3bJ3HWiS6/OXH1AswarmLJ/FnBOSyeN4LF80ZEf88n9CwZ3rRpE0ZGRtDXFz7xjI+P45lnnmlrvKeeegqf/vSnsXLlSqxdu1Y9VtqtaV+gXC5lmdRyKUGlUso++Kh8oFopOx9UmUwitSmFNpVK2bn502xyuVxCpVLKPrRozeBKpeR8UKR+ymXXT4pS0rShH05pBJWWH+4LvWkTflCUywkqzAdI5ofL7JRLqHI2JdlPpcLblLPYQj8V0U8rb8/EVq2U2MUN5VKpdT58bElQRzm/Blxs1Srvp5JdNy/m7LoxsVVK7LVOr5u/wKPph7dJr4GfJUrPU7Phzqcq+mnNJ2dTKbP3Tvp+878gmja8n/QaaDYcqRFtqs127qdrbt7SuQEYUtM63vdTSohNKXFWjqd+OBKU2nj8WfSTnmdfI/yZN50b/95Jz4f7abhaTWPjrwH3XqxWy6xNGrPkJ0mSwCaN2fdD58Z//+Y2ZdnG99M6z74+Ty9byq+/H0Nf6zz99vR6prFQ9PeV2TmoVopt+vtdm74qH1t6bQBgwNOxVqu8H3oP9nma4f7Wefp+aMz93rz19ZVZP9SGVmKg5+nbDPRXyPm4foYHq9n7lmp2B4nNGNHbAm4GmZ7P0EBuM2u4T7R54VEL8dNfbkKlnOCgeSNO39v++Fj88jdbcMoxi4LPjWOXz8NzgWwnQbXU28yg68jw1NQUHn/8cfWYWbNmYffu3SwRBoBqtYotW7ZE+9y0aROuuuoqTE5O4sMf/jCfWSOYM2e48Ji9ifSLZmCgivHx4exGpl9As2cPYftkXtcv5bwDfZWWTTm0GRvCyJbd2f/T78DUT0oO6AK+8fFhDA3lb+DUz9BQP8bHh1kSMj4+jOHhsLpHauO/MUpJ0vTD/LQzMtyPOePDQXulUsb4+DAGGZvRWYOYMyd8uq22bIaGQptZI4Osn2pf02ZgIHw6HxvjbdIvsX5mEcPs2cOOhixFeg04P+Pjw5iuhVtaajZzxkcwMRkS6PQa9Hkf/ul1G5uYCmyGWzb++ZTLzes2tj20GRlu2vgkoFJp+pk1K1xQMWvWAGtTrZZbNtsDm9GxwaZNJfwCHB8fxqyR8D4ca9kEi1n6m/M54n1hAc332/j4UED4BlvXYNas0M+cOSMYGaxm78UUQ4N9op85c0ZQLiUBCRka6mP9lEvNawCEmaqRkQHWT3oNgDCbml6D4WHXJr0GqQ0l0GOjA+z7qq/a/CyaZOqPjo0Nse/5gdY1GNg9Hdg0r0H4nh8caM5NUmHeb2NDGB6sBjbpPd0ohyQ1/ewYHHBtZo00baYaIbFO52bA+0l7dFbzXts57b4X+1uf000b9/07e7R5njt8m/7cZsiLbfbspp9S1fWf3p8AgrkeHx/G+PgQ4M3BcOteA4Bhz2bu3BH0V8vB+Yy05sa3qZbzufHPJ50b36avmtts3+3eO2Ojg+wcpPcN52e8dd/4czAwINssmDcL47MHA5ux1vsDAKY91encufl3zgh5/8wh/oe9z6O0HXAJ44HzR52+ZQfPxn898Sxeu2GV0372KUsxPj6ERQcMY9HCMWfstePDWLvarfAwUxgdHZzpEAJ0HRl+6qmnsGHDBvWY8847DwMDA5iaCr90AWBycrKwtFqKxx9/HBs3bsTmzZvx2c9+FkcccUShzTPPTMxIZnhy9zQ2b55ArUWEarX8Dbt1605s354T21pLtDs51bSpt2zqjs0OTOwgZLie+pnC5s0Tmd8G0Wls3jyBXbvC3WN27pxsrhD1iwg3Gti8eQI7iZ8Uu3Y1bcLd4tDyE17fHTsm8eyzO4L2er2OzZsnsHt3aLN9+y5s3jwRZLBqtabNrp3h+UxM7MKzW0I/temmzSTz5bx92y5s6Q8zS7XWXuzTDAnYunUHm42ammxet8nJ0M/WLTuCuo8AMKnYbNkygW3bdgbt6TWYng5j27x5Atu37ZJt/PNpNG22bQ/9pPdH3SPx9Xrz/pjYHvqZmNjN2qTXbWJ7eE9NtK51ve7ZtK7bDuY+3L4ttXHndKr13tnJ3B/btu5EFY1g18L0GuzYEdps3bIDU7sqrlYJwO7JqdZ7JLTZ8uwEkiQJYtu9q2mzY8I9nwQQV2rv3DHJn0/rPZrauza72fd8vUZsPKP0uu323r/pdeMe5NLrttt7X01P15rtzHtn+9Zd2FxOgvs9fe9sY+ZzYmIXJndNYkqy8XbGKpeS7Dynplyb9Bps894jJeTXwH+P7Gq9D7Z793uDXIP08yLFjtY18N8j6Wce0Cwz6ti0rsHETu8atOYTAOqezfZtO9GXNIJ5myI2Ne/abdu6AztKJUx49+FU67vKj61E5nOHdz67W58rANAg79/0ni6Xw19CdhEbGluDzI3vJ51Pfw5KyK+B/77atWM3Njea45doJR/iZ8q7d+n7kH6+1qamxfcobT91zYH41589iUo5wUhfyel7+0XH4ImntmPZ4rFgrCMPHgvG6haUyyWMjg5i69adwb20r0AfFjR0HRlevHgxHnzwwcLjrr32Wmzbtg2Tk5NBhnjTpk3ZYjgNv/jFL3D55ZdjYGAAt99+O5YtWxYVY73eCHWv+xDp922j0cD0dJ3sQJfHUKvVnZgoF5gmH66uTcMhx/WM/DZt/AVsSdJs5849jc1HkiRNG58koym/aPoJz1nyUyc2/pDT0/WgLT2v9Hx88iLa1BvBlxK14Uok1moN9g3u+/T9+GQvtWnGFtrW6g3nQSizqeux1duwSaBc6zp/rZHeH4yfumCT+uEeiCQ/WWzM3Eh+oJxPdk91YuMbNeTzqdXqug1zDZrXuRHYNASb9BpwyN6jvp/WexQItad16f4gfkqe0Fi8bknMdXP7smvN3FO1ems+hdi4a5DONQfuWpdK+dz4ly27dz03jo0vAQM/nyUyn8EvyMJ1KynXLb0G/vlo1zq9p4I5cGLz7o9aA416HUlQyjMhNq7kQZxPwU+5lNv0edn+pMHPG70GPso0NmLUVyln7cFCQTLegLcALm33q1Y437vkM576AZoa4O07p3DS6oVO+8ol4/jTC9dgqL+Kof6K09dfKWPZQWPq/dzNSD8LuwndJ9yIxKpVq9BoNPDwww877U8//TSefvpprF69WrX/9a9/jY0bN2Lu3LltEeGZQFDyrPXHrbLgLuXJbOCYBLWJYxLcWV5YWHzi+BHkI9wCGJYFgy52kseRNhTgRsxj893zC1NSG1UKI5yOuqhLGEZfCMbPtbiwDtr5yDbtrOKXYtOqIoh1hqMWw4XaZMmPbJPGEZiI9/WeVHnQtwLmY5Pmho/NjdGPmYtBXNjmL6Bz+nj/9L+xpe/8zyIuNnGhIPNNlZKsQIOdtYeeisqUaeXLfP1vOm9alQd/IZZk4y664xejhVsEy36yzT2UyhDhojdpDviFZe5mGPJCPWlr5thNKtRqEkI94apHcimoHnjQWcxG6vJ6sjFpER/VI2vfF8sXz85eL5w75PS989XH4ez1S3DeKYcFdmuWHoBli8eCdsPeR8+S4dNPPx2VSgV33323057+/+yzzxZta7Ua3vKWt6Cvrw9///d/jwULFuzTWPcUQTUJvx0h2ZF2c3PLDCfsN1MhcWFiLFrFz0EiYoWsThmrHfKWeP28jdteRBK59hhiGbYX+VEIp1/hQLEpLivG2fCx6TG747ZjI1Uy0Iit/8EWR2ylmONjy8hjaFJYZUEq08bFHfN+C+a6xI9FbWLLobmk2+srqJjAvU/EBxJi46Noa2NtM4yAwKbtCuH0+2RiW0ygJZLMxtD6f0WpDBEsiowh98K5hos1eT+Of2WbZHHHNm2TCrqAjvjx11dUHNJLFrYRkjrQ5y+6cxfAZe3kuFgZpH8d5442tcEnrHTr7J545AJc/LLleN2GlVg4xyXDB88fwYUvXoYDZnefjnZ/QtfJJGKxYMECXH755fjc5z6H8fFxrFu3Dj//+c/xiU98Aueffz5WrVqVHXvZZZfh0UcfxXe/+10AwF133YWf/exnuOaaa/Db3/42qCs8Pj6OxYsXP6fnoyHlryVvt65wB7oksMlaBF4pbfcLpi8nj4yJYAOFhJRyI36sQlIV1h/mSSI/XpQfJFmdZzq+VKKr7SxvIo2lzRtQV+dG8q/Z8ESMJ5yt8YL7QztPiXDKNlIprhgbiVhq90c7tYk7iS2bU6YKB+3PfJDjwh3g9LGaMcbFrNUmljLdWm1iKTbfpkY+v6SdzGhZsyRxH+aLMrMqSRUIp5bllTap0DacCKpWZLEpxNYn0K15Uwl0EFvxHEiZ4VgbJwPuVQGJKVkmbcbhv9YItEt6KbHNX/v3IV2jQe1jtyyeM5qvR5rvEdg//eNj8YOfPYlTj3EXqpVKCV52wsFR4xtmBj1LhgHgmmuuwdjYGO68807ccsstmD9/Pq644opsR7oU9XrdEfH/6Ec/AgB89KMfxUc/+tFg3PPOOw8f+tCH9m3wbSDTjarkTd+IgX2bJ0UEKTyejsn5kQinlNHlxtNMpJ3ZNMIXxOLbsDWIyXhOoWNtfH47Zo2IiddNiDm1YRMXBcRWJ5yhDznm1JZv1+4pKSvZzi5v8Q9LtF2+P2TZBz9WTGzcz/pi5l4k42GM2Vgl/nxiNtAICDQl3QEh5/2rsUkPCg65dytQSBtLlD3CN10LCbSUGQ6JLZ/V1Gx8/+54ErGV/WQ2bRDojKgrtW+DijzS/aFKK1rz6RlJZJZmYrUMdFWQSWgbj1SFLK9/T9G+wQ7q91JCLq3t8LPRJ61egEd+vQXlUoLlB892+g46YBivfHG4h4Gh+9HTZDhJEmzcuBEbN25Uj7v11lud/3/oQx/qKrJbBI8LiyRAy/JyRmm2JTQpIEhMjJIbdXvalFD4Y0UQsSA2zzZmvHhSlX9IqhsHFPoP/ZSS9mL243PHkq6bbFNEUnU/AtnSSHfgvxOSql0DiSS6Y7p+3GOiYhN24dM3BNH9qBtoCGQ4sHH0v/x4uuRBuqaejUaghfPxiSWtc1C0m1zTpoRpktQoIrDNh8Yk+wVN0q5SP0mSoEyIukY4KRmnnxIxG2i0k4GmWl7qR9UMS3NAdblCBtq/daXMMCWs/r0mZ4ZlktovbVKhbD9MpQ1U8sCnJUJQMk13XwOAt7xyDf7p/3sE5516uNNerZTxug2rYHh+oafJ8P6CfAFbSih4Isbrf92/IRTCKcgkpMVjNMbQi2zUHnnj5yBGCiCTnXgCm/6Xlw/kf11ttvvX96OT8bCvlCRsBQw5w9jBeXbyQBJBujvJWoeLJTvxw5M6On5bcgwxYyrHnI0XEE43dr+di1t+INFs+JgpJ5LfVzxJ5vrS/7aTZY3JzEpEWdLlAs1sZ306Jba03SO2iRtbSoadTGqB7CLNWuu7vOWL+1zSzRNOGkOSJCiXS1lpOn0xHJUzAPWaO5ZvTxfDRRPbikxSpfNRyXAfrdKQ23N12DMbQfLAVSzhsHbFfBz18yexa3cNx3sbTxy77AAcu+yAqHEMvQ8jwz2AvJoEnL8URTIJDkmik7pQy8t/0dM+v0fLMIrkTdOe+jF6HZrkwY9OnU/BjzaflLzVGozOWHjwkAgv/RtjI2f0W2MyMefH8nPD27RPHotJtxybZMNmoIWfhzXSXUTu+fcIT66lh8+9reWNWdjmk+70/3oFCn+88Bg/nrBiAV/JoBRFbOMJdIyNn1nO2hM/Zo8kTsf7b9rkWWstY+tngDkyXCShmGaIrUbUaek7kaQqelnpfPxzo3AWwNFd1RQbWrLMrb2u+HEW9OWvB70Ngd543lH4x3sfxstPPsxpr1ZKuOaPjxXHN+w/MDLcA+Dqj3IQM8aQiGUiDCaQHSVG2Y9MkAoX0HF+BFJT8vo5m4CgCD910/GlrBdfKo4JmPiVCKxG0DhImuGirKiefQ19SDbifGrnKcxbet3aWURY9FDI+lFIt/TgkS1YZSZbyrIW3TeajSSFoP5S0J/BubE4m6JqFtp4oQ3/msamkjpJChApH2g+yPM2ZY8kptsnaBUbSgF5ZGLWqh9IfpSFcuVyCWDq3YZVI9zKCruz9rjYpPN2yLD806GY2WU/A1ugWdqKEicFzQyPkt0LuR0LOaw+bBzjs/qxY9c0TlnjLmBbu2I+1q6YL1gaDEaGewMtNlxSWICo/y3IvPEEqdXPHO/E4XTyoWnENjeNJzsZuQ6aFfImkXuVcFJvtF2bT+onzAxLxFI5TdmmjWutkXHf1nOvksd2NMN7MzOcZX+Zmevk3hVjS0uRhaGJmWHpQUEiW7RPJalBljcc1/crLlbUMrZCbJpNKLtokWGF3MeS4Zgsr0Zsxaxm4IfXBmvZbF9aUfRa63MIuFpPmF+cF0vuac1daqP94iURaO0z3ZEvkCytpl6gBHpkKN+S2t998BWnHIavfu/RQMIw0FfBB69cj+laHcPMlvQGgwYjwz2AbNG18EWb9rGfZwVkVCWpAnHhtck64WxvMZxMHiViJ5Eg7lg/5rayrMqgaUuYgZbjaMpb3IUxMbG1Qx71kmeCjUrgi4itdt3i748iLW97G1vEzIFPHveejZt9hdfX+tsOSRUePNQFdBLp1uQLwrWWiByQk0SNPErnGizqiiCZPumWMqYxi+FiXwdjd0BSfc1uCkkzHNoUL4bz7asV3kZJDEPadEMj0JQAzxrMiekUs+17Pnbuh5YsO2n1Que4c190GA47cBRLF40GY/RXy+qCO4NBgpHhnoCrGeZQSoRMWYFMgRtSIwFFcfhdauavQOPKulHIk+gnJRtC3Fo2OTbzR/s6eyBwt4rWbQp+BWgj0170EMOdp0RsVTnI3swMq35ax/iZ1IjY2pN96CRRJZwdZIalygzS3PivAVmSohF1aVcyfde6xLHlbKRFb1pmWMwSC7uv+XFrmeko0h1po2bAnew0n91W6/wSG4fYKlpcen0kG53Y0lq8cYvUaJZ31hAlw+4WvCevORDf/8lvW79s5jGMDvfhTy9cg83bdmPtCndhW7VSwtGHzxV9GwydwMhwD6CelVbTSCpPkPK0JN/HjlVEQtifpwWyk/7VyE4bouFOspKFMgklNqmjPQ20TPiceXN2FFRIotLO2XSi/9Wzoh1cg0ICrfnxr1v7sRUtSNT8BMSajheQbr6d/lcij75/XyPrjieQ1IjsqySf4PokMhxTL1bbCljS/0qbbvjjqVUmSKzBwriCmJvHCT4jNdDqLmtCbJqfinAOlNhqWlw6mkuGaWk00dxZ2DYymFMGTctLa/6OjfRnr487wiW2r3zxUsyfPYjjlodVG9YstUoOhucORoZ7ASkZFkhq2qaTHY68FZAqYTCNdIvEpQ0CXVJilmIrmhvej0aQeIKiyTH8Y/yxdCImtYdELJVVSGN1suBMzmbvbT98u5Zpbyc7ny+klAg0YyMSW36sGL1sWzbC/eFuhsH3SfPJ+cnLerk2MVleaSwuNnkzCoH8RWdfeSmCtk1xJ1neinCc6keSScRmoBPZj6QTrkYugKMXtVrms9EaaJZ3mEge/MTwEQfPxkNPPBvEPDJYxes2rMRTz+zEmevcXdhGh/rwhy88NCoOg2FfwshwD6ABv7QaT6p4jqp94EmVDHjKWeQ/tNAJkpSB1rBn2UKfOTh/PJvmX4nYqn6EeeNQtOgu+I5TYpY33eiEjMfMZ7yfjKRG1rHV+mK2fQ4z3W4/2xe0xxBOyY/XHpNJFcbixoupvhCMJ9nQbLKUGfZLrikEWtxYgmZFBZLbiUwitgKFpB8GZAIskVzNj3uefpUHPjPrZnn59wjgriuQMsNSXW7fhm5fTHf280GrPIwQMuzHeckZR+C2bz6Ek9ccGLzPTlmzSBzfYOgGGBnuAdQzmVVC/nUh60ibfzUiJNt47d5ft6+IpMp+YjNlrk1cu24jM8skP4htb8+P58/3odj4oPIFlz4XZ3mLxuNs2OyreN1kf53ockViqdkImUz9PtRtwswnjUUitjIRDM+H9x8jBdClFXyftLCO9RMh4YitQBGl/1VsYrPJEtHuZGFbbJUHaexYG4fYcnt5t1AnW1hXhfq9Dci1OOkWysMD+df/VM3V8lJQ0jw61IcDxgbw9JZdeN3Z7i5si+eN4F2vOV4cx2DoZhgZ7gm0MsOt//G6WLDf9HpWUicH7WhfhWSynk2WdLEK65aJZSKZkOF48tZeKTAxNJFUpYsYpSwzZyMRMfpff9Eddwwdg5ciSOfJn0uUDTM7nT34SHOgxeb+9dvbecCS7g8tkxq1sUVgU+xHevCQsr/+a/p/TTMsZXnVBXQCGdUyqR3JJCSNrUaGpYoNHcgx9JrBcX4kzW7sYjhprMEBuXwZHY0ugBsiNj5/XrN0Ln7yyKbm2GQBXamU4C9f9wJs3TGFhXOGouI0GHoBRoZ7AI0ozbCkI1UIrCST8Gzzsfh22iZmkzVi6/90ri4eKyCpbZA335Zr25tETMvYis8Dgv/MnnyJSRlb/YEkteUJUntzI9sU7wwn+xGJbWgiEvKi9wEgEz6JIHJ9HZUiE7S8rmbY8xORffVPVaxaIWhXaV8nO8OFsfEkM0ZC4scWS6DFHeg8m4q0UE+t8sBncytCyTXAzwAnpJ1uRRy3G5xDhvvlr/IaySZTyQOtxesQYwAXvWQZdk3WcOKRC4KHgKGBKoasjq/heQYjwz2AfDtmns2phDPr4ztVAi2NpcTg93aygE4iyW6fEFsbpCqmYkLQrvkRbIsyqbwN78fNDPPjBe3aw4X4gCBft040w+1KEaJsmFR3TtSlduY+LLnHZO0F/rnx4ur/+n7SOBRiKxJ13r82npaB9slbXJk099zkyhDFZFYqudaMjbcp2oGuyF47H72EG/FDXvcJhBdw51rS/2p1cqVsskaGR4f7sG3HFABX8zvQV8ZhB87C/3tyO656+WrH5sC5w3i3SR4M+xGMDPcAvD032sxW8sQ2bZNIX9NWGEvJiraTGfaP8cfqiHCq5E0gnFxMIqlqf65lMs6/bv5fiJk+dnipYekhQs0MS+RNuQbSYri4bDLfzi5s88YN/TDnk/4VNbZhbEVZVi2TKmWAtWstEViJjPuv6f/9uYkh0GopMolAd0RsZcJZitTyxmSQO9pAI3pjC5mo9wk6X20xHAXtoVUeaF1fHzROupvckEKGzz5xCT57zwMYn9WPseF8m+MkSfDu16zFzslpZ/tjg2F/hJHhHoAvk/Chkke1T190JxJltplnlioZLyB8bWVso+YgoKmFfoI+jSQKfUUZTq2vk8ywSKzDkJUMdMzcxNsUZVml+7NdG7kyQ+ex6Rpbz6bEt7syCc9/SqCFh4vmeLyNpuUNiLJEuumCQIEoBwvOhGxytORBIrnKvHUmkxB2oFOzyflxzvbFgf6X73MXtimSB5pNrkZmeQlppZtZVMolHHbgKB777VZc9YqjHJv1qxdiZLAPSxaMBNekWimhWjEibDAYGe4BNDw2LBEkjez4RnK+ojjDyfw63ZleVSRicox5DG2QKu9vGLNs40PLSkrkuug8pRia/toh0EJs6jXgY87r9YYxydeg2EbKmOr3B0922jofSbPs2CDKJmozDCX7Ki1si9W+0vE00i1mhoUsMxdD+vP/3q7l25GNtLWyquWl9rKfqlTLV8nyVoQNMChJ1oitI3kgrwf7ZJsXrJyP//ivp9FXKWHu6IDT92cXH4ctE5POVsZA8/quWWo7thkMGowM9wDSH8Jl4qCQg4JKBurGFiIRk9mjnwfpJGMbly2Mi1m1UbOfzb9tkW7hYUHUkVIy7I0lEXVNWlF8nmHMRdns9iptaPeU9KDQ/rWOkTyERNC19Y+nMeZ+eBtHMxwpK0g0wicR6ChiC7Zdi00i/cCea4ZjJBdanJ3IJNSd7iIrUEikV9Py0msiEWO6YYUPOlfVKi+zmDPa79i8YNV8VColLJk/gj4vnv5qOSDCBoMhDkaGewCNulv3RsyuMbZSxlFqd/oEwsllhrMvBpHsyKRK8q/pmUM/bHOzrfU3IGnKvBVuL62GJJNedyyZ7GjyEs7eiS3I/KV/NWIbP59FtYnbyQxLDx0AIXw+SRWIrRtbbMyUyPH+NfIoZVn9qgxqzWCJcGqxpfOpEmg+bq3KQ1ByLD0fhaRKO6RF64zVhws+NjWbLBDyPmX7YkpAqTSC2vRrxFbwM6BkeeukBhpd2AYA55x0CH704O9x5blHOu2VcgkvWDlfHNNgMHQGI8M9gGwBnUSQFPKoZeua/Vwb7ycnvIxN62+QrWS9FthEELGAkGcxK6RbIhRtke5ich928dfAyQyLcyCTN9kmNi45mx2TNY8lnLQv3B1Ljk3Ojss2ZYlAC/eNIyuQMrYC4QXkDHA7i9Syh5WOMsMK6Rb6VD2zZ58eG1vLV8u+yjvD8cQ4iEfKJkeSbppJ9Wv5VgXSSyUPWpUHUTNckTXDLzxqYVbL94AxN6N7wWlLccFpS0Vbg8Gwd2FkuAcQLKBr56fm4IVvIxPB9vS/EtmWybiYTU4Jksa6PUjEibZJtWe1THd7RD39y5MdiaT6r+n/QyLI27s27V83KZuc2tNC/tI1pf8Lbdy/vh+29J4oeZDvj8yPx0EScawwllj/gJyVlAhv0z5SiuBkhiUyzMfcjJvvCx4IIkqWqSXPJMlERzIJWZss+9Rq+ZKMLyGzfsZWKlnmZoxlYktBM8sURx467vz/hBXzceUfNTBn1kCQGTYYDM8t4t7dhhlFVmdY0v+mf7UsXmQ7HV+iyVy7SLhiSGobhFP7WV1qF4lt8IKO49rmhypEXchyxhBOmXTzhJf1I7YnwTGFNgoRi4kttvyfrmduXTef2IrtMlGXtLz6Lm/FNrGa4U42tlCJrTCfZeUaSHWGpZJj8ZIHYcOKWAKtzCf9vyiTULK8tEqDI3moyl99jpaX2GiJAzpvPrF93YaVWDxvBOesP8T1U0qw/siFOOLg2eK4BoPhuYFlhnsA4Ya7LmJ+5g9JndMt2LjN+iYV/HjZV0QbxFaLLSN2QmwcisgbO39pnziW7CfM3LMhe355whX4If+Prxbg2tAtnItIKhdD0WYpWl+YrXTH5P3wRCxWK0r72lkMl8YWklQSizDXnVSG0Ihg9AYamp903rQau2LGViH3TmY5rnyZTKBdm4qzGI7P8vqZWNpHpQ2xu7zRKdVKo1GcuW4J/v3B36NaKWHJghGn75Q1i3DKmkVR4xgMhpmBkeFeQIu8SD/D6+TR/Zu1K6yuMMvLhFhULUCVSQjteqZbiI2zCV64Y/EyCfevP5hG3uKzvPxrNzaZ8ImE0w/Zt+G2cA5sfHtmcw81NtemSH/LZobFneF4/+oitXQ+PW6jZmw7yAx3srFFjLRCytz75yNphpMk/7+vl40pcxYsrOtAJhGj+fXJJyWwfULFhT4vy1uVSHM1Lss7NV1n/QDAyUcfiO//9Lc4+8QlTvv82YP40J+chGqlFJy3wWDofhgZ7gHU8xV0rb9uv0heIesedWLrjpu3y8RFIo9q0jqNMTKTSvtCyQNPRJs2AklVakNIWcmSGpzrz/cvERpn3MC/HxcTS0HMOrGV/GikWzof/nWzQRhLuj9Br1sc4UwEIkj7dC0v7yd2IRiNuZ3McIy0QpqDWD2zVP2h2SfU5VUkD9ImFfrCNlIZwilFRrK3HrHti6jy4J+PKJNQFsBRrF0xD9/8tycAAIcsnOX0XXrmCrz4uINwqNcO6NUmDAZDd8PIcA8hp24C2VJs5EoKjI0wnka6i2Lba5lhUSYBtl2LW8sM5/6kseRjY7O8emY4vQb8fKo2bZBUKTbJp2ajLQgsCecTUzNYkzxQah+j5W0vmxxBUmOJrRJbTtQ9wqnMZ5z+l/epZoalyhCRMomYuQFkwuqfT5+o/40rc6ZpqCUsXzwbf3rhMQCAeV7d3mqlhMMXjUaNYzAYege2gK7L4eo73b9F7c229Esz6HH6w55wQIns0XEiv28Kx3MDoX5cf/6xbZU8U2ykn+LzDLTiJxhLIKlKnWFZIkBsfD8CQYoj0DJRj81auzZ83NL5cD8tt6vzVbO8gh86VnSWV7Gh1yBh2vnxBP/CudH/B/MpZIDVkmsRmt/oXd4Ewuv/v8/R8spfQ45Mgm5/7JFzCXVlwcVrz1yB/moZl521Iuhbs3Su7dpmMOxHsMxwl4MraSVwOlVj61upRFQk3al/2U9IBGU/ErHN9J1caGLWWiL9NDaB1LRB7iXi7mZfBcLVSWZY+Lmf7QtexMTG+5dIJu3TsqzBXItSgNSHTDjVygylBLUW4ylHxBxkkzWSKGZ5+Vi4uNPYYjKm/jXQCCy9P+j5iPpdLWsvxKbWORYeCLRycFKZMm0xm1QNIhbDg/lX3AGz3e2LX3zcQTjt2EXiL1QGg2H/gZHhLkcjYuGSlpUV9bIyDxR/0tbLpPEECZl/jkALcSupbon4J8yr0IZ3o33FSiS1rYVt2TFue0xZrzCTKscm7ZjmapP5GDSyI5HB8MFHngO50gVPbJ36vwoZdR4OFI2rk7WmflTSnccoEWhVT1ymfiDbkGtQFmLzNwTx5R0c6dYyu9JYUvkyzaYs1Oj10SdkhjUq6mSalXJoEk5avRD//uDvMVWr44RVC7B92y6n34iwwWAAjAx3PZzMcPDC/T/3sZ7b8ARa0zWIREz5/hAzqSyB5rsykqrZiCSVs+EJn1QBozmOYFM8bYoN386NF0MeY7W8lELw9ZGLMsNxRF3LWmfZfoU80sV9MRtOALIm1L8PfGIYk7EVs7wRDwq+z5jFcKof5frQ4eh8UJIaykPyz5bYahCSf00aQeEslCPHaaUj6X1UJ5oHupUxkFd5WL96gdNeKZfw1guPQaVScvwbDAYDhZHhLofzmS8Qvqj6v8L43FdXnhkORnP6Y2LQY9NJKguJiAmE0+mT2tsi3XmUbjshJ8FYUszUxp+DIv/xcx1TM1irTSwRWDWbHEnuXf0vgFqrXSOpQl/MYrhg7IS394+TCLS6fXDCH6cuRislmCoYK/w/eYiIzPImSLJfnRz9LyHQyrsQVWHXOk3y0MlubhSHLMwXrh156Byn79UvW441S+cGu7wZDAZDDIwMdzk4mYT+NeVCLp2lDCUQS/UXxQLSrbhpi9jmP9ELpIojtkJJuE7qGYu7ACoktYiMc+N1QjiLqoCw47UG0bcCFvwIMWtxR2dSFZIqZWajdcY+AWfsO/YjxO0T6xgbGpv+Xsw/IyT5QvjwlpvFZoMpqlW6mE3OQFNIOmEvyYu1R8zDjx/6fbB5xUEHDOPKc4/ExK5pHHmIS3oH+ys4YeX8qNgNBoPBh5HhLgcnkwgzw+nfePKoanndQ3wTQf/L22ils+TMMD8W58+34Rfduf6KYnZja28sID5z7/xf9OO1a4SzxLfrmuHU1rNRCJJY1isqA+21i4uvwhiLjlOzyR0R2/y1uDNbZNY6lqjHzEelnDjXlH5GyLG5jDMRzi2WGFNiqy1cpKCZ4eGBfMvied7CtteetQJHLJmN45YdEIyxfvVC2YHBYDB0CCPD3Q6mmkTI3hLnj9MjkTrFpVj/V7HS9LdSuyxFkMcq1vLKfqRsrh6bQCwVgiZNU0eSh6AChuymaLEkgGAhlrToLkazGxL1MJbcxrVl/UikMIg5fy0RsehybB0RW/4Y36+4gUVsBlp48ClaHMj59EuM1fNN1pzFbNpGGxSU2A6QzSbqSi0zeg5LDxrFC1bOxzNbd+Elxy92jps11IfTTzhYHMdgMBj2NowMdzkcmUT6VyJ13AAJ2M448igRTsaNSGwjbCLbaWP4OMATtGab/hDB+UmEvvT/knTAf908NnH++j608TSSKvYpsUlSgKJFXa5NOK4/hnQ+qp+I7K12nF4Xt5g0F5Vw49tLok18ZpiPU1yAx20pXQvLy1Epgj+HdAEaJbZlQQvsg9b8pVneSbKVcerXX+wGNO+Hq19xlDi+wWAwPJewTTe6HO4COudP3qwQ26KNC3Ty6LX7/RExSDrWZlviHBPGxvnh446Zg5A8yjbF5J4niED4poqx6UTyII2nk1RvvFTyoEgEYu8dVTMs+umEPArHqdns/LVMjB0TeWxV/0t9ksVogn///xKZ1TaZkOJ0iK1i308yw/R1gyGxKWiZs6GBPKcy5ZHht7/qWMybPYDXnH6EOJbBYDDMNCwz3OVwNcOJ8zdr14htwfg8SRX6VD886Y2SIkj+lfMJ6xkrNq222J/76fhS3eTwPGUiGFVNQuiTNL6d2gRZxYK58eOkfe3UWo6qWhFBPrW+jjTDe1tnHJGpDjTYzgI0fpFZVVlwRlEVtbzyJwG1GezLvxKmFclDnyCT8In+qkPGceNVL5QDNhgMhi6AZYa7HFHbMYNvb7bpJEQrOi9mHtljO4+tvYVtfJ+4UQgzfuif98H74cfUSarezsUdVyYtziZGcqATQbB9Ujbb79PGcgksP5a0TbIft0ZSpXJq0RtoCPaqzpgcJ22NHMRDumg216m+ABeUHNNauk6WFzLoLm+D/TkZ1vS/VCYxb/Ygxmf1I0mAi16yTPFkMBgM3QnLDHc5mDLDoiZU2yaZSfMK7XqmmfbzbTxxaSs2zUbR+TpjMv8XHwgEItq0lwin70e2keYgjnR77crK/SSTVvhjKSRRyiZrBDrbmU32E9QPlsZyjuM1rkHVCmExmpYJLQtzEFtNQtLs+jaVEk96K5HlxyixpTZO/V6Po9IHZjdjS4mtK1+goMR2oD9/XfPI8II5Q3jqmR0A3HOolEv4qytOxK7JacwZdStDGAwGQy/AMsNdDjcznBKXDjKpke3ueAKp4/y0/oYLp5TYBBuJCOqx8e0xP913Il/wQ5N2BHNj4/1zcUtZc1VnLGWTVWLL31MxMgVdyxs5lmSjyRdoBlq0d0yipBGaVMSVOcjElmZzXcLIj+WDvt/pphnVSv664bFhyllpZQhKbNUsb5Un0KNDVee4K889EgfPH8GlZ4T636GBihFhg8HQs7DMcJeD3Y7ZQ9yCszjy6PRJ7ZpNJKkr6pMgk8QYYitlRRXCKZQ20+oMx86BROSAnEiF14Ccj9eXkdSgXY4t0wwrhNN/oEjHiN4MQ5Vp5K+lzK5G1KPr/1IbYexOSqt1shhOzQyT11JmONQM85lhqv/1s7xHHT4HP/vlM00bQqBHh6pYdtAYfvX77XjtWSsdm8MOHMX1l68TYzcYDIZehZHhXkJKXHxS5b3mpBUBSdRKkUk7tjH+QkdCM+dHIN3SYittPLkUGTkm8MN3uBtbxPmhpFny015mWLBRFrZl/1WzvPx4e33xmEA4VT+izEJ5iBDmI6yaUWyv1wzmiakkO2n+J3/paIaVhz+aGRY1w4FMIn9NqzzQzLBv8+qXLsc/1B7C+tULgnl/9yXHo1ZrOAvrDAaD4fkMI8NdDvrlKNeRpf+Bu1GHuBUxO5TXKGU4Q5O8KgE/FOdHrtggG0ldWSkyP2aN2JZ4/9JP/E0/go2y4YQ4lsyJZMkDfS2Q61CqIpNEucoDnwntpP5vrBQhZjFdGBslrDKxFSs7JPwxgR8hy9sJsXW3SXZBrxWtIOESU5fZUqJL9b+DfRWMjfRhy/ZJvPplyx2bA+cO452vPo6NoZQkKFXk8zIYDIbnG4wMdzm4MkpMvjR7VUoS1JgKFBKD5uvy+rbeEKqsQSLQTNQCs9V2sxMlBwLpj9HYagvBpJh1OQY/npbllWJop+RZHptM1EX9r/CgEMbJk0r/OLGWr0JsxYoNsdKKfUjUXcmDTLolUGJLqzz4cEi7tIDOQ5Ig48f9VTdr/Z7XHI/fPbsTqw+dExWnwWAw7I+w38G6HK7koTiT6UMkO6pXiVi2xurED+MwbSpJulw5NGWRGk+SNZvARRSx5Uk/PSb7v6DH0PXMrb9+KTIhY0v9aHIMsTJEQJIFe5VY831a/V96fjGENegT41TIcKSEQ9xOWSmT5thTQk8INF2wFtg4cgyegPu73m1Yf0j2mpZGA4D540M46rC5benyDQaDYX+DZYa7HE41ifSv/73mZD+9LpHwNf9yWdCcjErGSptAEnn9r8B6BcIrjUPbteyrnBmOI4J0fC0D7UPeDKM4Nm2Hs+gKFEoGOsqmE81wB4vhOtqBju7yJpBxwCXkZeGe8Oda0gZXBC2vDyezS+KkUobARoiTkly/msRZJy7BQH8ZK5eMG+k1GAyGDmBkuMvhVJMQs6L+l3u4h3NI6pT0q+Sn9VcjthJR576jJXIfU2VCJKlBXPxrx0aZT39AaXMPvYQbMy580u3FkC5siySprh8+ZtYmZgGdQNqjq0nEkmFhPmJtJCLp/1+SbfjXx5FDkD6H2CpZXodAE81vf59MhunDLy1zNjKYlzlbNHfYsRnsr+DsEw+BwWAwGDqDySS6HJxMIvi5XXgNkC9+gdiyXFggtupudaL/hG13/AjnwxJoifAJC9vcUmQ8qdKyorG1lp2spEDetKy1RGzFhxilTyOP0oI83SZv1za2kGv58sfoNtrcRNhoDx4koKoieZCyvpQkx+p/qU2fUqVhgGSAB0k1iEq5hD847iAcMDaAP/mj1aK9wWAwGNqHZYa7HJxMQqsWIO9+5tvwx7vHCtlXNjPM90lZUdfGb5cJdEkwiiqtJvlRbMK59uLw4+LGE4h6RxtbKLGJtZYFMpokhEB3skmFL0WgpFkg7bEyiTgNdnxsZWd3O9KulEmTNlKhNn0KGaYbXQxU849arWTZ+iMX4KEnngUAjI30O32XnrlCtDMYDAZD5zAy3O0IFQ8BHK4gkLeQjPLEiQ4h60tDm5hNLwI/BVlWjUBLJFXNDAck1Y09JmapeoArrYgj6pKOlfZpdWwlMqpJOGJeN/8v2eftqhQhNssbsYBO002LG1t4cy1VgIjdGU6SYPQrMgn61qVZ3iRJMH/2IH737E780YsOdWxOOmohdk3WsPzgMTXrbDAYDIa9ByPDXQ66WKZoNzkgnsBK+lJnfOEndbXkmUDE9A00BPIYhiYS1U5KqxXtZsfFLWezeZ+ATLpVXaw0lpZNLglzIOplFWIdseBM36RCIN0dlFZLPD9UfyvV//VjozYSgdbIsORHW0D3kuMOws8ffQbDAxXMHXO3Kn7Hq47Ff/1mC45bPs9p76+WcdaJS8QxDQaDwbD3YWS4y8FtxxwQMUU1XEw4NZLqd3AempDIdfZ/jnT7xwTtoZGkpZXkGGopMkGK4CZ548h9VNWKSL0s/b9Exvm+CHLfwcI2iQAH9X+F89F3hpPiyY8JtLyEUdMYtCoPEoGlr6sd6H+1XxGOO2Ie3nPJ8Zg90u8shgOAA2YP4oDZg6KtwWAwGJ472AK6Lge7tbJ3jJ4ZLrBRMsOhDZ951PqksmJAToQCQi6RcTKetIWybxKT5Q0zuRGZTCUzHDsHemzFBFqSD0hykMBnxGYcun0c6VYX3QkZYK0cnEN6KwKxrfhkWLLJ27WFbYlDut3j1h7RzO5ecc6qwG754tmYZ6TXYDAYuhqWGe5yOAvoJJmEYi9LK3jy6I7L+2lrAV2JbwdknbFU5cHpEytD8HEB4c/tcma4mKTqVSu8mMWNLTTSXWzTiewjJhPrxxOr5XXKrkWT7vy1tLFFsBiOkt4yT2x9MkwX0FUFAq2RYboYzt/Y4urzjsKu3dMYGqj6ZgaDwWDoAVhmuMsRJZNQCJJ0gTur8sC3A0SvGoyVZkU5Yqv74SBlc/P29omtpuWVqmNoWd5YaYWT0ffYsBSba8PHoGegQx+cH1laQexjF9Bp2WRhbG3HNYn0VgSS7KNSEsiwIpMYGcqJrr+wrZQkRoQNBoOhh2FkuMvh7DUlEFjtJ3oIBEmrsiBKEZRscr6AjY9NlVaIi+5kGyk2HzG1Z7WHCylrrBNoPoZA1qBIAWI2wwgzs2H8fjzxVR6KyWx4PmD7Eu08hbG1jS0kOYSjBVYlD3Qs+XwoTjv2IFTKJcyfPYhFBwyJxxkMBoOh99DTZLhWq+FTn/oUzjjjDBx11FE47bTTcOONN2LXrl1tj/Xf/tt/w4oVK/DDH/5wH0S6B+BkEt4h6k/0QjrZIdCCHCLISjL+/PE0yUMYW6La+B26REBvB8JMqrjLW4R8wM+Kapt7iPpfVX8bHuP7kRbxBfMcIY2IrajRSc1g1UY4zsn+ln3JAz2OJ8PcLxG8H7qds2xz+KJR3PqXZ+KDV61HVdlO2WAwGAy9h57WDN9www2488478aY3vQnr1q3Dww8/jL/+67/GY489hk996lPR43zlK1/BD37wg30YaefgZRLyl3b8phteZrjB92ljU8TUGU6SxNNASzG7f/12gCP9fDaZElMpm6tVk5ClFb5/3t7xE0k4HT/BZhjkmNgFdIKfmAx40w/Y46TayP5x9LBwMwx+vLKS5XW0yUKVBw30fMqRNgAwMtSHqd1TmJ6uR9sYDAaDofvRs5nhJ554Arfffjsuu+wyXH311Vi7di1e9apX4R3veAe+/e1v40c/+lHUOJs2bcKNN96IF7/4xfs24A7Bb8fswuEXAoGUCBrXJ+lvJVLn+AkkD+S1sMuZlMnUCXxcZjimYkLsDmeajarbFjLDiSAriPXTyeI+cWGcf3+IxxXPDRC3AQcgSxucTTIiH/5iaS1dDFfxbso1S+cCAM456ZDI0QwGg8HQ6+hZMvytb30LjUYD5557rtN+zjnnIEkS3HvvvVHjfPCDH8Ts2bNxySWX7Isw9xjcdswBN9AIkqjllRl01iVleRnWEaNxbTcDLC1e42xiKkPI1Rd4/378tE+vQOHFFjE3Una6Hc2wKDsR9b/8MZofLcsr9WkZ8JjFcBro+yMW09OEDHtZ5zeedzTe+apjg53hDAaDwfD8Rc+S4QcffBBJkmDp0qVO+9jYGObPn48HHnigcIz77rsP99xzD66//nr09fXtq1D3CI5MQiCJSuJMXcAm2WcEWjiOX9jG92nEUiqhlvoPxqKLsiSSqmTApb4kScQ4RdKtEPVQn938v7aALsxoS+Sej5P2+dUXpAoQsVresrCVsW9D/cq6XjkzXI3cDY5iqpZLFqStsn287ITFqJQTVMolHL5o1OmrVkpYdegc0wUbDAbDfoSe1Qxv2rQJIyMjLIkdHx/HM888o9rv2LED119/Pc477zysX7++rYVzpVIS/cW7p3BW2FdKqFRKgc6xlCRZhivIvGU24SKk1MYnfOVKwtuUm2NxubhqtYxSkgQ2qX/OT7rjl38+qY2/I1gpyTN5wa5kZcGGnKefBaSxlZIEtdaTh2MjnE/Vq3BQKidibFXJfzn379fFrVZLAan1bcoVVyKQnntQfYGcp79lcdre13DnrUps+ggx7KuWxUoN/f1l1g8da8Cr0dvfl9v0k13aND+0/eQ1B+Kr33sUSQIcs3ye0/emC47Gl7/zCC566TKn/aD5I7jh9etRKiWYM+pukywhva/9+9vQG7Dr1/uwa9j76OZr2HVkeGpqCo8//rh6zKxZs7B7924xm1utVrFlyxZ1jI9//OOYmJjAn/3Zn7Ud45w5w+pisr2JTdunstezZg1ifHwYw0P9zjF9fRWMjw8DCInl2FjLZli28Qn07LEhjI8PY3DQrZ06MFDF+PgwpmvhAqI548058f0MDfWT2EoAak2fpSRrHxrybfqa/ndPO+2lUimzGfTqus6aNdC0mXRt+qr5efrzNtY6zzSeWktL2k/mZmjIvcdGR5vzWR1w26mNH9vYaHMHstljbkmu9DybsbnjzZ0z4mSU09iGHZv8fOh8lvtc/yMjA3ls5JpWq+WsfWq65tjMJnMza1ZOGAdb9wCHuePDWd8IuQ+GBvOYqV4XAA6YO4KR1rmPEWI6a6Rf9EPbx8eH8bdvOw31RgPLDx53jjvzhYfjzBceXjhGOxgdtd3kehl2/Xofdg17H914DbuODD/11FPYsGGDesx5552HgYEBTE1Nsf2Tk5MYGJAzPj/96U9x66234oYbbsCcOXPajvGZZyaes8zw9om8TNz27buwefMEdu6cdI6p1WrYvHkCgCurAIDt21o2O3Y77dPTuY2PrVt3YvNgBbt3ufM7OTmNzZsnUKu7ZDgB8OyzOwAgsNm1a5L1kwBZ+y7vfHbvmsLmzROYnKoFdqnNpEd6d+xo+pnyVvrXavXMZvduN7Z0PgE3a63ZTEy05tMj6rXpuhjbxMRujI8OYGLCLfk3uXuK+HFt0vkEWlnrVj5+F7GZJLElST43O3a5Y+3amV+DKRJbo97I2n2SunPHbsGmLt43O4gNPZ96Tb7Xtm/bhanWeVA/O3dOOTaHHjgLj/12G05YOS8Ya85wk+BLPvYGyuUSRkcHsXXrTtSYh0FDd8OuX+/DrmHvYyauYWzio+vI8OLFi/Hggw8WHnfttddi27ZtmJycDDLEmzZtwsqVK1m76elp/MVf/AWOO+44nHnmmZiYaBGyVm3iXbt2YWJiAsPD8gTW642APOwr0BumXmtgeroeLhpqgJR7cvtqmU04dmrjJ7nr9aaNf4pJy0/dG6xUSrKxtNj8ura5jWfSaPn3AiglEMtaNdKY62F/ZuP7adk0x054Gw/Z3HixNYiNPz9pTA1/QoXrViJzA7SqTtQYGzIctfH9pPPp2yTKfAL8daPtAagf4qhcSuTrRmxo3NO1umPz1gvW4F//f0/hBSvnz2hps5oXl6G3YNev92HXsPfRjdew68hwLFatWoVGo4GHH34Yq1evztqffvppPP30004bxZNPPpktrjv++OOD/iuvvBIAogj5cwFnAV264YNSrzZ2cZ1L/vwFbFwrLZ/Gt4fjytUcGDlsMEZY5UFevFVUDq6d8WI2ltD8iJthtBbqpddUmjdOE+6P5b+Wavyq9orUR9rMQoOzAM45H9me6qvpYriKdw5jI/04c92SqDgMBoPBYGgHPUuGTz/9dPz3//7fcffddzvE9+677wYAnH322azd/PnzcdtttwXtDzzwAG644QZcd911WLVq1b4JugPQDKRIEikp8uwzG6/dJWJ8p0Qe9Tq2WvUDwUbwIxFewK3R68eWIM9LxhBoP27HjxdbXsKNb9ds0td0oR7nP3ZjCnf7Yv4Y/zjtWlFoO8CJNmSRmrY5BwWNh/oZ9vTqBoPBYDDsK/QsGV6wYAEuv/xyfO5zn8P4+DjWrVuHn//85/jEJz6B888/3yG0l112GR599FF897vfRV9fH0444YRgvFqt+Tv0EUccwfbPFOrez9pAu2W90r8ygfVREm3oMUkmB4ghj/54JcVI8t/OVsDpgjO9Li5PyKPq/2pEXSlT5sbGn0/4bFKc2ZXIfOgnb/ezrxQ0Gxy7Sxu16SNVPWIlRetXL8A37n8cu6ZqOGbZAVE2BoPBYDDsKXqWDAPANddcg7GxMdx555245ZZbMH/+fFxxxRW4+uqrnePq9XpGdnsNVIMbJx+A3ynY8PaanyD7mf3cr5FU3r4d+UJKuqXMMn8+LaIubBjB24TtWm1kKQOtklEhS1tWyCy9ByrC+ZSFcX2fZYfkyhlfqf6vBnrcQF9OhrnqIxwG+ir4wJXrUa83oqUZBoPBYDDsKXqaDCdJgo0bN2Ljxo3qcbfeemvhWCeeeGLX6IQpnB3oIuQDPvIsq9uukbcobbCQ4Yz1oxJonxiypFv2UyILzpzYFPmA+LpAWsHNgS8LkMi1LI1w7aluvFzmpQia5MHJBpMsr0Y4aTZYqvcb+CGOBkk94ak2Vg2XkgSlyEy0wWAwGAx7A5Z+6XLwO9C5x2jygUxL6xEsJ8vq+YzSBkdIDACNZEJEjJZX3QpYkBxoi/tEPXOk/lbNJkvbGUfEDLhFMCTNsEYfaZyO/EGTSRBRtCankNBfpZnh56byisFgMBgMnaCnM8P7A+rtZoalLK+aseXH06UV/FiBxlbyqcoXikmmTmzjsrwxC/piM9AqgRZS9+6DAvXhH0mkMuL5aJnhuGwwRZXsbkd39atF6n/pcT6Z/ovLTsBXvvtLnH7CwVFjGQwGg8GwL2GZ4S4HzQzLC9tohlAgowqx9fvyiglxhFMiyf4YYgY5Umes63J5n1o5txjSHOqpwfZJ1RO08mXiAjrPhvJPMTOsJG9daURclpduBX3g3HznvNOOWeQcd+kZRwAATj3mQKf94Pkj2esXH3+Q03fYgaN4+0XHYs3SuVGxGAwGg8GwL2GZ4S5HA2FmWCOCUgY4yKRCJmwx0gqRcGoa206yr1KWWCXqxf4BPzstEej2HwhiSWqs5pfqxilJ1bTaFJ3UDKbxDA9Uce2la/Hs9t1YfZi7Y+MfHL8YRy+dizmj7o6PI4NVXH/5OuzYNYWli8aifBoMBoPBMBMwMtzl4DTDWlkxTdrg2sg+cz++jSRfIK8V8ihuwBF5PrpMgryOrKtLaaGUwdb12XQsPjZ9Pvhxg2smZobJuIpMopPKED6WHiQT2gPG+H3maXbYYDAYDIZuhckkuhycZrgdmURJsEEE4fOrL8jkTZMVRGRsNT/RGWiBjCqZYXGjjTaqSeQ2xeP6kCpQKFzYqfLgzJvih9rQ1/7W2S9buxgAcNC8uL3cDQaDwWB4PsAyw10ORzOc/lWyvxL58ptVnbGQgZazmvzrIDZpwwg1MywQW61MWqQWN4pAR8oktNJqFK7kgZJp+SLS/0l6ZIULR2eGL3jxUhy2aBQrl4wroxkMBoPB8PyCkeEuB1dnOKiXG0H4OtEZa5ILucRYbGaYz6r6/xdt1NiK24O+CJLbHIPPzEpjeclXZzGcq+WVM7bS4jyNdFNUnMxw7tOvC9FfLeOk1QujxjQYDAaD4fkCk0l0OfjtmN1jtM0oYipQ+ChlfjRiW0wEw9h4IhmbGdb8xJBZfQtnErMic5Ay4po2mYLKXpztiyukfJlXl9clwCTLSzbD0Eqe7Q3NsMFgMBgMz1fYN2OXg80MRy4ec2y8cWP0t1LG2O+TSGWzrz17LTat+kKUztizcfS39Dil0oZE1KWMrZ8ZbtD6u8R/X1Umts7Y1IYQ6LrviMAh3VV7yxsMBoPBQGHfjF0Ors5wbFYUyEmithhOqkEcWyZN38CDz1prFRckCYemjZZKxWmkW9LsaqRb0hNL9X99MYIkk3Aywx4ZTgQ/VUqglV3eKOmeP55XfniJV//XYDAYDIb9EaYZ7nLwmWH3GEljS20C+QRkAitVoJCyrKp8wdHvdpAZjqwmIR3nLjhzTNw+2i5kjLUYpIVtQWZYkkkQYhsoWMgYdJvjTjLDA30V/OXrXoBNW3bh6MNt0wuDwWAwGIwMdznqdUqG079xP91TG7Uur+czZgFdTCWG4Dip4oO2M1zCE1Y9a01eK1leZwMLMcvrxiZlgCV7DZLkwQcl0H0OGSYEWvHj7zq3ZMEsLFkwKypGg8FgMBie7zCZRJfD3XSDz/JKelkglw9IWmLfnv4/lAjwpFciyWEff5xK1IVzCypQ0PMRKz50kk32CHSZnwOJWGs65WqklpcSYJoZpgvotAWRsbvOGQwGg8GwP8K+Jbsc9OdvUb6gbq3cavfG1Qhs7ke2EbO3KoHmM64aUY+WSQixyVpeF1JmVy8VF5H1VnTKUmb4BSvnOzYbTjoEADBntB+D/SQzTIixf62oHlgjygaDwWAw7O8wmUSXI2o7ZqUUWHqsRlJDmYTgJ2LRnF6BIpLYCtsMx+uM6ViyH8cnJdAkk6rJPihk+YTsh2ZsS6UEl29YhYd/9Sxe9dLljs2paxZhzqwBHDx/xPE/0JeT4Q3rD3FsLjhtKRbOGcKRh85h4zUYDAaDwdCEkeEuR4PLDEduHkH7YuUL9Fh9K+I4/9LudM6CNTUzLLV3khmGCKk0mpZNdrZJljLL3qMG7fPlCyevORAnrzkw8FMqJVizNFzsVimXcO2la/GbTRN40dGu3WB/BS874WAxdoPBYDAYDE0YGe5y8JtuxMkK6P+ja/nuaZZX1SYXywoAlyhLcWqxuWS4xLb7oJIFTSZB4ZS9i9iZDnAJNNX8doqlB41h6UFjezyOwWAwGAz7K0wz3OWIKa0mZV+b/y/W/8aXPOP7tK2dJV2tth2zRJTV2CR7WpdXIZ/OAroyvxjOR4NQW0qgaZUHf2O4ZYS4Dg/Ys6jBYDAYDDMN+zbuclAu1a6W17HpQIqgLx4jNkqWNxHlFPy4QWwSAQ+qNPA6X2eTCqWqgmTjlyVzQC6OQ4bJwra6x4Zfc/oRqNUbOG75AbawzWAwGAyGLoCR4S4HqxmOlEkkpE/NpEZmeaVsslb/V5ZgKDIJJ2sclxl2y67xY1diM8OKrldCySHDNDPskuE5owP40wuPiRrTYDAYDAbDvofJJLoc9Qa36YZ7jJhxVbSrskwiTv8rSh5UP3xsoR9yXKRmWKoNXI6VSQhjadlkiUA7O8P5OgmDwWAwGAxdBSPDXQ5+043Y7Ct/TGhDffCvw/GEdmHTD7/PzUz7fopj087HaY/M8lJzKrkoKzIJqeqEkxk2MmwwGAwGQ1fDyHCXI5VJxJLU+OoL+Wt5wVqcNlnTGUtlxrTMcIyGOdxaOf8/fYCQdnzzIWV5VZ2xU06N7CZHMsNGhQ0Gg8Fg6G4YGe5ypMROWzwmLoZTpQjFMofYEm4umXbjd7YvlmoGB3rmDjLDQgxlZd5cn8SGZpMVaYVUW5guujtw7pBobzAYDAaDYeZhZLjLUWczw37Glr7mSaFeJo0fO5AvOD7jCLRUs1eqRuGPJxF6vxybvAOcTIAppomcge7sFi2t8M7ztGMXYXS4D294xVFR/g0Gg8FgMMwMrJpElyPNDEvVGwCv4kJEjd6gT8iqBqQ7orKDZuNkUpUtj0XZBvh2Px4pY0sx2F92/l+r1bPXlABrpdWoHIOWUwOAy85aidee2bDyaQaDwWAwdDksM9zl4DTD4VbElChLmVhF8hBZ8kwkwDSWQMtLiCV5LVV/0GJwJBcdSDgA4MXHHYRyKcElZ6xw2k9/QXPr4kq5hAVzcmlDWdnDmW66QRfNcTEZDAaDwWDoTlhmuMuRViNQN9agrwkn07K8cmaXP8YfQ6q+oGmGpS2PQ3LPx1AWMtM+pIVtAHDpGUfg4pctD+QPyxfPxrsuPg4DfRWMDFblwQmczPBe2FrZYDAYDAbDcw/7Bu9y5DKJvC2QPEiygugFdMJYCkmVjit7JFOSLLgEWtYZSwsHVS0wIan9fW48SZKIOuAVS8ZxyMJZ4rCHHej2nXbsouz1+Kx+OR6DwWAwGAxdC8sMdznSBXRSLWEgrkxaWMuXt0kgZ19F+YKyfbFEgCsKsaXZ3EQg01JdYcDdqISWOesUV557JO798a/wqpcud9rXH7kAk1N1HHbgKKp7wY/BYDAYDIbnHkaGuxzcArpY+YK6GC6itFoCmXRLMgs/6+pqhiX9r2PiEGqnTFrEwjjAlS9ou87FYv3qhVi/emHQXq2U8dK1i/d4fIPBYDAYDDMHk0l0OfhNN2L1v5pMgtrw9mo9YyEz7JPUskCAneyvL5MQJBTURiO5hy8azV6PDfeJxxkMBoPBYDBYZrjLwW66oWR5JTKrSh6E4wJtMrWX6v+qpdWEahIKgZZ0wlr931PWLMITv9uOQxbOwpzRAfE4g8FgMBgMBiPDXY46irdjFheZReqMk47KseXtZaUWL0VFqiahLKCTbLTM8NBABRv/8MiomAwGg8FgMOzfMJlEl4PddEMjthGvAb82cKSNIKco+wcKcCpNOAv4/OP4RXflyMywwWAwGAwGQyyMUXQ5+E033GMkoixlibU+zcZZaNfBlsfSojdN9iFt1KHtDGcwGAwGg8EQCyPDXY46oxnWKkPEkFxtPEcyoe10Jyyg0+CQXlLxIVwQyJNeTZtsMBgMBoPB0AmMDHc58sywthgufx27m5y4SI2O5cVSEjKzsZnhTviruwDPCLDBYDAYDIa9CyPDXQ5uBzpN8iAdp8sk8vZEyUBLmt1Ykko3w2gox1EkHWSgDQaDwWAwGGJhZLjLwWeGlVJk4mYakTIJR5ssE2hKhmMzw51A2gLaYDAYDAaDYW/AyHCXI9cMy8doNXslSNpiTY4hyST8jO3LTz4MAPAHxx3ktB9/xDz095VRLiU4Zc2BUXG6mWH3dr3gtMMxZ7Qf77nk+KixDAaDwWAwGHxYneEuB5cZ9uHu5pa3+1UnKNzNLHgbvf6vnBk+94WHYu2KeVg0d9hpHx6o4oOvX49arR69GQYd2Z+Cc046FOecdGjUOAaDwWAwGAwcjAx3OTjNsA9al1fTCVPEyCn0zLDMtEulBIvnjbB947P6RTsOtXquLjaZhMFgMBgMhr0Nk0l0OeotMqgRW0kmoWeTBQJNjgm0yVSyQAh4vR67HK59TNfruU8jwwaDwWAwGPYyjAx3ObhNN3yUxWoSsk1JkFNoO91RAkwKQ+yVjO1VL1+NsZE+bPzDVU77nFm5nGKgz37IMBgMBoPBsHdh7KLLUWe2Y/YRsxgu3iY/xs/EUhuaDday1rFYt2oB1q1aELSfeswi/Od/PY16o4EjDx3fYz8Gg8FgMBgMFEaGuxwp6dQkAmWi39W0vBSSnMLZ5MLb8pjGQGsG7w0yLKFaKeGai47dZ+MbDAaDwWDYv2EyiS5HrVFMhiukr1rJL2mjIWt5pU03aGWKIDNMSO/BZIHckgX8YjmDwWAwGAyGbodlhrsc9dYCMk2XWxbIsLawrSRlg5UFeLRvxZLZuHzDKtTqdSw/eLZyBgaDwWAwGAzdCyPDXY5ahEyCktkqkUnUuYNbkEhvrJ8kSXBy5MYZBoPBYDAYDN0Kk0l0ObLSampmOL+MjkwiNjMslEwLbKy0mcFgMBgMhucZjAx3OWq1mAV0gkxCKf8ra4bjNuowGAwGg8FgeD7AyHCXoxaVGZbIcNwCOqmahMFgMBgMBsPzHUaGuxxRpdUEzbAukyCvhZrDBoPBYDAYDM939CwZrtVq+NSnPoUzzjgDRx11FE477TTceOON2LVrV5T9D37wA1x88cU49thjceKJJ+Itb3kLfvOb3+zjqNtHWlqtVJIvlbMAjpDhhXOHRBtJJqFt1GEwGAwGg8HwfEPPkuEbbrgBN998M8477zx8/vOfx9VXX40vfvGLeNvb3lZo+4Mf/ABXXHEFRkdH8alPfQrXXXcd/v3f/x2ve93rMDU19RxEH48sM+yR1IPmDbPHzx7pw9oj5mHBnCFc/LIjxHHporvEpBEGg8FgMBj2U/RkabUnnngCt99+Oy6//HJcffXVAIC1a9eiXq/j+uuvx49+9COccMIJrG2j0cD111+P5cuX4+abb0al0pyC4eFhfPSjH8UvfvELHH300c/ZuRRB0gy/6fyj8eXvPIKTjlrotCdJgjeeXxw/1Rb3ReqMDQaDwWAwGJ5v6MnM8Le+9S00Gg2ce+65Tvs555yDJElw7733irY/+clP8Oijj+KSSy7JiDAAvOQlL8E999zTVUQYkDXDC8aH8Mbzj8bxR8zraFyqLe6rlLPXafUKg8FgMBgMhv0BPUmGH3zwQSRJgqVLlzrtY2NjmD9/Ph544AHR9v/+3/8LADj++OP3aYx7CzGbbnSCSiWuAsUlZzSlFi87YfFe9W8wGAwGg8HQDehJmcSmTZswMjKCvr6+oG98fBzPPPOMaPvrX/8aQHMB3hvf+Eb867/+K2q1Gk444QS85z3vCQg2h1Ipec5KkGWZ4XIJlcree3bp78sv/WB//rrRaDh+zli3BOtXL8SsoaotrusQ6aJGurjR0Fuwa9jbsOvX+7Br2Pvo5mvYVWR4amoKjz/+uHrMrFmzsHv3bpYIA0C1WsWWLVtE+x07dgAA3v72t+O8887DFVdcgcceewwf//jHcdFFF+Gf//mfMX/+fDWGOXOGnzNimG6pPDhYxfg4v2guFocfNIZf/ro5N3SsuVt2Z69L5VLgZ0/9GpoYHR2c6RAMewi7hr0Nu369D7uGvY9uvIZdRYafeuopbNiwQT3mvPPOw8DAgFj1YXJyEgMDA6J9udzUx1544YV47WtfC6ApmVi2bBkuvPBCfOYzn8F1112nxvDMMxPPWWZ4eroGAKhN17B588QejXXFOatwx70P48XHH+SMtWvnZP569/Qe+zG4KJdLGB0dxNatO1Gr1YsNDF0Hu4a9Dbt+vQ+7hr2PmbiGscm8riLDixcvxoMPPlh43LXXXott27ZhcnIyyBBv2rQJK1euFG0POOAAAKFmeM2aNZg1a1aU/3q9kckX9jVSzXCSANPTe3bzHDhnCG/742MAuGNNtQg3AFRKyR77MfCo1eo2tz0Ou4a9Dbt+vQ+7hr2PbryG3SfciMCqVavQaDTw8MMPO+1PP/00nn76aaxevVq1BcDqimu1GqrV6t4Ndg9xwFjz54QF4/IGGnuKkYH8nFcsGd9nfgwGg8FgMBi6DT1Jhk8//XRUKhXcfffdTnv6/7PPPlu0fdGLXoTR0VF85Stfcdr/7d/+DTt27MCxxx671+PdE7z1wjV47xUn4pRjDtxnPg6YPYiLX7YcZ7zgYLz4uEX7zI/BYDAYDAZDt6GrZBKxWLBgAS6//HJ87nOfw/j4ONatW4ef//zn+MQnPoHzzz8/y/4CwGWXXYZHH30U3/3udwEAQ0NDePvb3473ve99GB0dxR/90R/h8ccfx8c+9jHMmzcPr3nNa2bqtFjMHunHYQfPwebNE5iu77ufFV52wsH7bGyDwWAwGAyGbkVPkmEAuOaaazA2NoY777wTt9xyC+bPn48rrrgi25EuRb1eR61Wc9pe9apXYXh4GJ/73Odw1113YWhoCCeffDKuueYazJ0797k8DYPBYDAYDAbDDCJpNGz/3Xbx+99ve858VSrNUmebN090neDcEAe7hr0Pu4a9Dbt+vQ+7hr2PmbiG8+bNijquJzXDBoPBYDAYDAbD3oCRYYPBYDAYDAbDfgsjwwaDwWAwGAyG/RZGhg0Gg8FgMBgM+y2MDBsMBoPBYDAY9lsYGTYYDAaDwWAw7LcwMmwwGAwGg8Fg2G9hZNhgMBgMBoPBsN/CyLDBYDAYDAaDYb+FkWGDwWAwGAwGw34LI8MGg8FgMBgMhv0WRoYNBoPBYDAYDPstjAwbDAaDwWAwGPZbGBk2GAwGg8FgMOy3MDJsMBgMBoPBYNhvYWTYYDAYDAaDwbDfwsiwwWAwGAwGg2G/RdJoNBozHYTBYDAYDAaDwTATsMywwWAwGAwGg2G/hZFhg8FgMBgMBsN+CyPDBoPBYDAYDIb9FkaGDQaDwWAwGAz7LYwMGwwGg8FgMBj2WxgZNhgMBoPBYDDstzAy3MX4xS9+gSuvvBJr167FMcccg0suuQT333//TIdlaAP/8i//gle/+tU45phjsG7dOlx88cW47777ZjosQwf4t3/7N6xcuRKXXnrpTIdiaAM7duzAhz70IZx66qlYs2YNzjnnHHzxi1+c6bAMkajX6/jyl7+MV77ylTjhhBNwzDHH4Pzzz8eXvvSlmQ7NIOAXv/gFzjrrLKxYsQKPPPII299t3MbIcJfi8ccfx2te8xps3rwZH/nIR/DpT38aIyMjuPzyy/Gf//mfMx2eIQLf/va38brXvQ4jIyO46aab8OEPfxj9/f248sor8b/+1/+a6fAMbWBychJ/8Rd/ASvL3luo1+u46qqr8KUvfQlXX301PvvZz2LNmjV473vfi7vuumumwzNE4CMf+QiuvfZarFmzBjfddBNuueUWLF++HNdddx3+7u/+bqbDM3i47bbbcOGFF2L79u1sf7dyG9t0o0vx7ne/G1//+tfx7W9/G3PmzAHQ/EI+44wzcOihh+J//s//ObMBGgpx7rnnYnJyEvfccw+q1SoAYOfOnXjxi1+MpUuX4h//8R9nOEJDLP72b/8Wd955Jw488EAMDQ3h1ltvnemQDBG455578Pa3vx1/+7d/i7PPPjtrv+yyy3DIIYfg/e9//wxGZ4jBCSecgGXLluGOO+7I2hqNBk4//XQMDw/j7rvvnsHoDBT3338/Nm7ciPe+97347W9/i5tvvhn//M//jKVLl2bHdCu3scxwF6LRaODee+/FC1/4wuxmAYC+vj6cccYZ+OEPf4itW7fOYISGIjQaDVx99dW4/vrrMyIMAIODgzjkkEPw5JNPzmB0hnbw0EMP4bOf/Sze/va3Y2hoaKbDMbSBr371q1i4cCHOOussp/3zn/+8EeEeQV9fX/C+S5IEIyMjMxSRQcLs2bNxxx134JWvfCXb383cxshwF+I3v/kNtm3bhuXLlwd9y5cvR71ex0MPPTQDkRlikSQJNmzYgPXr1zvtU1NT+H//7/9hyZIlMxSZoR3U63W8973vxXHHHYcLLrhgpsMxtIn//M//xPHHH48kSWY6FEOHeN3rXocf/OAH+PKXv4ydO3dix44duP322/GLX/wCl1122UyHZyA44ogjcOSRR4r93cxtKjPi1aBi06ZNAIDx8fGgL21LjzH0Fm666SY8++yzuPjii2c6FEMEbr/9dvz85z+3n2J7EFu3bsXWrVuxcOFC3HbbbfjCF76AX//615g/fz4uueQSXHbZZSiXyzMdpqEAr3/96zE0NIS//Mu/xLXXXgug+QvbjTfeiJe//OUzHJ2hHXQztzEy3IWYnJwE0PzpwEf6k/uuXbue05gMe4477rgDn/nMZ3D++efjjDPOmOlwDAV48skn8Td/8ze48sorcfjhh890OIY2sWPHDgDAN77xDRx88MH48z//c/T19eGee+7BjTfeiKeffhp/9md/NsNRGopw33334cYbb8TZZ5+Nl7/85ZiamsJXv/pVvPe978X4+DhOPfXUmQ7REIlu5jZGhrsQ/f39AJo/qftIb6bBwcHnNCbDnuHmm2/GTTfdhHPPPRd/9Vd/NdPhGCJw/fXXY/78+fiTP/mTmQ7F0AHSrO/U1BT+x//4HxgYGAAAnHTSSfjd736Hz3/+89i4caOjXTR0FyYnJ3HttdfiuOOOw4c//OGs/Q/+4A9wwQUX4P3vfz/uvffeGYzQ0A66mduYZrgLMW/ePADAM888E/Q9/fTTzjGG7sf73vc+3HTTTdi4cSM+/OEPo1KxZ9Buxze+8Q185zvfwXve8x5MTU1hYmICExMTqNVqqNVqmJiYyD68Dd2J2bNno1wuY/Xq1RkRTvGiF70I09PTePjhh2coOkMMHnvsMfz+97/HKaecEvStW7cOTzzxhEkGewjdzG3sW7kLsXDhQoyPj+PBBx8M+h588EFUq1UcccQRMxCZoV187GMfwxe/+EVce+21eO1rXzvT4Rgi8Z3vfAeNRgNXXnkl23/88cfjTW96E9785jc/x5EZYlGtVrFs2TL2i7dWq2XHGLoX6U/m09PTQV+aXbSH0t5BN3MbI8NdijPPPBN33XUXfv/732dPSjt27MA3v/lNnHrqqRgeHp7hCA1FuPfee/HpT38a73jHO4wI9xiuuuoqtjzQDTfcAAC47rrrsGjRouc6LEOb2LBhAz7+8Y/j4Ycfdlaw33fffRgcHMTKlStnMDpDEZYtW4aBgQH8n//zf3DVVVc5fffffz/mzZuHhQsXzlB0hk7QrdzGyHCX4g1veAO+/vWv46qrrsKb3/xmVKtV/N3f/R127tyJa665ZqbDMxRgenoaH/rQh7B48WKceOKJ+OlPfxocs2LFCnYhgWHmceihh+LQQw8N2mfNmgWguRGAoftxySWX4K677sLGjRvx7ne/G7Nnz8bXvvY1/PCHP8Sb3/xmqxvd5RgaGsLrX/963HTTTXjXu96Fc845B41GA3fddRcefPBBvO9977OyeV2EX/3qV9i8eTMA4He/+x0A4L/+67+yxawrVqzoWm5jO9B1MR555BF8+MMfxv33349Go4Fjjz0W11xzDY4++uiZDs1QgF/96ld46Utfqh7zrW99C4sXL36OIjLsDVx66aUAYDvQ9RB+//vf4yMf+Qjuu+8+bN++HYcddhhe+9rX4sILL5zp0AyR+NKXvoTbbrsNv/zlL5EkCZYvX47LL78cGzZsmOnQDATvfve71W3O0++8buQ2RoYNBoPBYDAYDPstrJqEwWAwGAwGg2G/hZFhg8FgMBgMBsN+CyPDBoPBYDAYDIb9FkaGDQaDwWAwGAz7LYwMGwwGg8FgMBj2WxgZNhgMBoPBYDDstzAybDAYDAaDwWDYb2Fk2GAwGAwGg8Gw38LIsMFgMBgMBoNhv4WRYYPBYHie4mMf+xiOPPJIfO9739tnPt7xjnfguOOOwwMPPLDPfBgMBsO+hJFhg8Fg6GHccccd+OEPfxi0f/3rX8enP/1pvPnNb8Ypp5yyz/x/4AMfwEEHHYSrr74aW7Zs2Wd+DAaDYV/ByLDBYDD0KGq1Gm688Ubcf//9TvszzzyD9773vVi6dCmuvPLKfRpDf38/PvjBD+LJJ5/EBz/4wX3qy2AwGPYFjAwbDAZDj+Khhx7Cjh07gvZPfvKT2LJlC974xjeiXC7v8zjWrFmDM888E3fffbfJJQwGQ8/ByLDBYDD0IN797nfjFa94BQDg5ptvxooVK3DTTTdh586d+PKXv4yDDjoIZ599tmNz6aWXYsWKFXj22Wfxmc98BmeeeSaOOuoorF+/Hu9617sCmcNDDz2Ed77znXjJS16Co48+GuvXr8fFF1+Mr33ta0E8r371q9FoNPCFL3xhn52zwWAw7AtUZjoAg8FgMLSP17zmNRgaGsJtt92Gs846C2effTaWLVuG+++/Hzt37sQpp5yCUonPd3zgAx/A448/jksvvRR9fX342te+hq9+9avYuXMnPvGJTwAAfvWrX+Giiy7C8PAwLr30UixatAhbt27F1772Nbzzne/E1q1bcckll2Rjrl27FsPDw/jmN7+Jv/qrv0KlYl8vBoOhN2CfVgaDwdCDOProo/Hwww8DAJYtW4azzjoLAPDFL34RAHDyySeLto8//jhuu+22jLBu2LABp5xyCr797W9jcnISfX19uPfee7Fjxw584AMfwIYNGzLbiy66CG9961vx29/+1hmzWq1i3bp1+M53voMHHngARx999F49X4PBYNhXMJmEwWAwPI/w2GOPAQAOO+ww8ZhLLrnEydyOjIxg2bJlmJqawubNmwEg67///vvRaDSyYyuVCm655Ra8853vDMY9/PDDATSzygaDwdArMDJsMBgMzyM888wzAIA5c+aIxxx66KFB28DAAABgamoKAPCHf/iHWLZsGW6//Xa87GUvww033ID//b//N7Zv3y6Om/pMYzAYDIZegJFhg8FgeB5h27ZtAIBZs2aJx/T39xeOM3v2bNxxxx1429vehsHBQdx6661405vehJNOOgnvec97sHXr1sBmdHTUicFgMBh6AaYZNhgMhucRUhK8bds2NTscO9ZVV12Fq666Ck899RS+//3v45/+6Z/wla98BU8++ST+/u//3jk+JcgaETcYDIZug2WGDQaD4XmEfSVVWLBgAS644AL8wz/8A1avXo1/+Zd/CTLAmzZtcmIwGAyGXoCRYYPBYOhRpBtq7Nq1K2tL9cCPPvroHo197bXX4txzz8XOnTud9lKphIGBAZTL5aB0W+pz8eLFe+TbYDAYnkuYTMJgMBh6FAcffDAA4Gtf+xrGx8exaNEinHzyyfjCF76A73//+zj99NM7HvtFL3oRvvKVr+CVr3wlXvGKV2DhwoXYtWsX7rvvPvz4xz/OahCnmJqawv3334+RkRGsWrVqj8/NYDAYnisYGTYYDIYexfHHH4+LL74Yd999N26++WZccMEFeMc73oHBwUF873vfQ71eFzfeKMKGDRswNjaGW2+9FZ///Ofx7LPPYmxsDEuWLMH73vc+vOpVr3KO//GPf4yJiQmcf/75tuGGwWDoKSQNWkDSYDAYDD2PG264Abfeeis++tGP4pxzznlOfL71rW/FN77xDdx1112WGTYYDD0F0wwbDAbD8wxveMMbMDY2hltuuQW1Wm2f+/vJT36Cb3zjG3j5y19uRNhgMPQcjAwbDAbD8wxz5szB+9//fjzyyCP4zGc+s0997d69G9deey0WLlyIP//zP9+nvgwGg2FfwMiwwWAwPA9x1lln4aqrrsJNN92E733ve/vMz3XXXYdf/epX+OQnP4mxsbF95sdgMBj2FUwzbDAYDAaDwWDYb2GZYYPBYDAYDAbDfgsjwwaDwWAwGAyG/RZGhg0Gg8FgMBgM+y2MDBsMBoPBYDAY9lsYGTYYDAaDwWAw7LcwMmwwGAwGg8Fg2G9hZNhgMBgMBoPBsN/CyLDBYDAYDAaDYb/F/x9duQv4j9/R4AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "system.table.mpl(y=['mx', 'my'])\n", + "system.table.mpl(y=['mz'])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "b69b7d43-f3be-4425-9c80-2cda92279c67", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import micromagneticdata as mdata\n", + "data=mdata.Data(name='toy_problem')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "35afa14d-1bcc-4c51-96a0-ae0f3086bb23", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from micromagneticdata.ringdown_analysis import RingdownAnalysis" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "1af0ab3e-1d58-463f-838d-f3dd810865da", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "processor = RingdownAnalysis(data[3], init_data=data[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "8cdcbc07-21d3-48bb-95ec-448b8ab6183a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1., 1., ..., 1., 1., 1.])" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "processor.extract_mz_subregion('left')" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ac4e984e-730d-4e5f-8c60-d48fc9d59ece", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "frequency_both, magnitude_both = processor.spatially_averaged_psd()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "4fe9d9b0-2084-42fa-a6cc-dad01db1fc7e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.plot(frequency_both/1e9, magnitude_both)\n", + "plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "73c35a02-e7ae-4d45-ab5d-de07b2e6125e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "processor.select_subregion('left')\n", + "processor.fft_analysis1('left')\n", + "left_power = processor.power_ave" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "5c9c35c1-358a-42af-b440-559b4c221452", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "processor.select_subregion('both')\n", + "processor.fft_analysis1('both')\n", + "both_power = processor.power_ave" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "dbf51a28-45a1-40bb-8e07-eb3dca30c976", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "processor.find_peaks(prominence=1e-10, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "b635390a-3666-4715-815e-4172a5439f90", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([714, 752, 816])" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "peaks = processor.peaks\n", + "peaks" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "1ab82be0-7dd8-4139-9f4b-65fce26cc254", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([71.4, 75.2, 81.6])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "processor.freq[peaks]/1e9" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "8ee39f0b-2eb7-497b-ad81-33d268e0e470", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.plot(processor.freq[1:,]/1e9, processor.power_ave[1:,2])\n", + "plt.scatter(processor.freq[peaks]/1e9, processor.power_ave[peaks, 2], color='red', label='Peaks') \n", + "plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "7f4aafe5-da1f-4dcf-92fd-974ef18baf86", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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teuSRR1S9enVFRERo7ty5qly5skaOHKnPPvss3/X27Nmj4cOHKzAwUEuWLNGCBQuUnp6uYcOGKS4urrh2HwAA41mZ1SEhIZKklJSUPPOSkpLclsktKCgozwG0j4+PbrnlFmVkZOjgwYNF3VUAAMokq7K6LOY0V4QDAIxl9dAo4eHhuvrqq7V06VJn162OHTuqZ8+eWrVqlfr37+9xvQULFqhOnTpasmSJsxtYq1at1KtXL7322mt66aWXLG03AACmsDKr69evr9q1ays2NjbPvNjYWPn7+6tFixYe17Xb7bLb7apUyf2QN6eLds5VbAAAlHdWZXVZzGmuCAcAmMvh8P5xyZd2aMyYMZo5c6azCC5d6Lp11VVX6fjx4x7XS0tL03fffac+ffq4jYUWHBysrl27Kioq6vL3GwCAssLCrJakW2+9VdHR0UpMTHROO3v2rLZs2aLu3burWrVqedY5cuSI2rRpo3nz5rlNt9lsioqKUlBQkJo1a3Z5+w0AQFlhYVaXtZymEA4AMJbD5vD6cSk+Pj4aMGCAOnXq5DY9KytLhw8fVuPGjT2ud+DAATkcDo9ntps1a6a0tDQlJCR4t8MAAJQxVma1JI0dO1aBgYEaPXq0vvzyS3377bcaO3aszp07p0mTJkm6cN+OsLAwrVmzRpLUuHFj9enTR++8847mzZunnTt3auvWrRo5cqQOHDigKVOmuJ0EBwCgPLMyq8taTjM0CgDAWIUd67s4RUREKC0tTUOGDPE4Pzk5WZJUu3btPPNypiUnJ6tBgwbWNRIAAENYndX16tXTe++9p7lz52rSpElyOBxq166d3n33XefVYg6HQzabTfaL2jJnzhyFhYXpww8/1Ntvvy1/f3+FhYXptddeU69evSxtMwAAJrEyq8taTlMIBwCYy9ohwvOIjIzU8uXLNWjQIPXt29fjMufPn5ckj2eoc6bljGsGAEC5VwJZ3bRpUy1btizf+TfeeGOe8UkDAgL02GOP6bHHHrO6eQAAmM3irC5LOU0hHABgLKtvlnmxxYsXKyIiQgMHDtQLL7yQ73JVqlSRdGEIldxypgUGBlrTSAAADFOSWQ0AAIqOrHahEA4AMFZJDY0yY8YMRUZGasSIEZoyZYp8fHzyXbZOnTqSpNTU1DzzkpKSJEkhISHWNBQAAMOUxjBmAACg8MhqFwrhAABjOezWn7kODw/XmjVrNH36dD344IOXXD40NFR+fn55unZJUmxsrEJCQlS3bl0rmgoAgHFKIqsBAID3yGoX39JuAAAA+XHYvX8URlRUlJYtW6bJkycXqgguSTVq1FCXLl20efNmt7HAT5w4oZ07d6p///7e7CoAAGWS1VkNAAAuD1ntQiEcAGAsh93h9eNSsrOzNXv2bDVq1Eg33nij9u7dm+eRmZmp9evXKywsTDt27HCuO3nyZJ06dUrjxo1TdHS0tm/frtGjR6tWrVoaNWqUlW8JAABGsTKrAQDA5SOrXRgaBQBgLCuD9/jx4zp69KgkafDgwR6X2bp1q+x2u2w2m+wXjavWsmVLrVy5UvPnz9fYsWPl5+enzp07Kzw83DmGOAAAFUF5PEgGAKA8IatdKIQDAMxlYV43atTI4zjfnpYbNGhQnunXXXedVq1aZUXTAAAoOzi2BgDAbGS1E4VwAICx7DYSGwAAk5HVAACYjax2oRAOADBWebw5BwAA5QlZDQCA2chqFwrhAABjMZYZAABmI6sBADAbWe1CIRwAYCwHeQ0AgNHIagAAzEZWu1AIBwAYy8FYZgAAGI2sBgDAbGS1C4VwAICxGMsMAACzkdUAAJiNrHahEA4AMJaDPlwAABiNrAYAwGxktQuFcACAsThzDQCA2chqAADMRla7UAgHABjLbivtFgAAgIKQ1QAAmI2sdqEQDgAwlsNOFy4AAExGVgMAYDay2oVCOADAWAxlBgCA2chqAADMRla7UAgHABjLzlhmAAAYjawGAMBsZLULhXAAgLG4qQcAAGYjqwEAMBtZ7UIhHABgLLpwAQBgNrIaAACzkdUuFMIBAMaiCxcAAGYjqwEAMBtZ7UIhHABgLLpwAQBgNrIaAACzkdUuFMIBAMbizDUAAGYjqwEAMBtZ7UIhHABgLMYyAwDAbGQ1AABmI6tdKIQDAIxFFy4AAMxGVgMAYDay2oVCOADAWHThAgDAbGQ1AABmI6tdKIQDAIxFFy4AAMxGVgMAYDay2oVCOADAWJy5BgDAbGQ1AABmI6tdKIQDAIxFYAMAYDayGgAAs5HVLhTCAQDGogsXAABmI6sBADAbWe1CIRwAYCzOXAMAYDayGgAAs5HVLhTCAQDGIrABADAbWQ0AgNnIahcK4QAAYxHYAACYjawGAMBsZLWLb2k3AACA/Dgu4wEAAKxXElm9f/9+jRw5Uu3bt1fbtm01bNgwxcTEWLYeAADlidVZXZZymkI4AMBYdrv3DwAAYD2rs/rIkSMaOnSoUlNT9eqrr2rZsmWqXr26hg8frv/7v/8r9vUAAChvrMzqspbTDI0CADAWBW0AAMxmdVYvXbpUNptNr7/+uoKDgyVJ7du3V9++fRUeHq6VK1cW63oAAJQ3VmZ1WctprggHABjL4fD+AQAArGdlVjscDkVFRalLly7Og2RJCggIUN++fbV7926lp6cX23oAAJRHVmV1WcxpCuEAAGPZHd4/AACA9azM6mPHjunUqVNq3rx5nnnNmzeX3W7XgQMHim09AADKI6uyuizmNEOjAACMZWNoFAAAjGZlVicnJ0uSateunWdezrScZYpjPQAAyiOrsros5jSFcACAsUriyu79+/friSee0B9//KFNmzapadOmBS7fq1cvxcfHe5z34osvavDgwVY0EwAAI1mZ1ZmZmZIudJXOzd/fX5KUkZFRbOsBAFAeWZXVZTGnKYQDAIxl9Vjfq1ev1uzZs1WrVq0irXfzzTdr3LhxeaY3bNiwuJoGAECZYGVWV65cWZKUlZWVZ17OQXRgYGCxrQcAQHlkVVaXxZymEA4AMJbNwoPrmJgYzZkzRzNmzFBCQoIWL15c6HWDgoLUunVr6xoHAEAZYWVWh4SESJJSUlLyzEtKSnJbpjjWAwCgPLIqq8tiTnOzTACAsay8AVdQUJAiIyN1zz33WL8jAACUU1Zmdf369VW7dm3FxsbmmRcbGyt/f3+1aNGi2NYDAKA8siqry2JOUwgHABjL4fD+cSktWrRQWFiY9TsBAEA5ZmVWS9Ktt96q6OhoJSYmOqedPXtWW7ZsUffu3VWtWrViXQ8AgPLGyqwuazlNIRwAYCybw/uHlY4eParx48erW7duatOmjQYNGqRNmzZZu1EAAAxkdVaPHTtWgYGBGj16tL788kt9++23Gjt2rM6dO6dJkyZJujDcWVhYmNasWVOk9QAAqAiszOqyltMUwgEAxrKyu/XlOHjwoNq1a6eIiAi9+uqrCggI0MSJE7V582ZrNwwAgGGszup69erpvffeU0hIiCZNmqR//OMf8vHx0bvvvqtmzZpJkhwOh2w2m+x2e5HWAwCgIrAyq8taTvs4HFbe5xsAAO/98+o7vV53zqH1hV42IiJCixcv1qZNm9S0adMCl01JSVGVKlVUtWpV57Rz587ptttuk91u15dffulliwEAKHtKKqsBAIB3yGoXrggHABjL6nFHvREcHOxWBJekwMBAdevWTQkJCW5jnAEAUN6ZmNUAAMCFrHapVNoNAAAgP1aP9e0Nm80mSfLz83ObnpGRIUmqXLlyibcJAIDSYmJWAwAAF7LahSvCAQDGsjscXj+ssGvXLrVu3VqRkZFu00+fPq3o6GiFhoaqZs2almwbAAATmZbVAADAHVntwhXhAABjWRm7cXFxSk1NlSSdPHlS0oWbYJ49e1aSFBoaqk2bNmnatGlavny5unXrpg4dOqht27aaO3euzpw5o3bt2ik5OVlvvPGGUlJS9Morr1jYYgAAzFP+DpEBAChfyGoXCuEAAGNZ2YVr8eLFWrdundu0CRMmOH/eunWr7Ha7292tK1WqpBUrVmj58uV6//33tXDhQlWtWlVt27bVqlWr1L59e+saDACAgehuDQCA2chqFx+Hoxxe5w4AKBfGNvyb1+sujf9PMbYEAAB4QlYDAGA2stqFK8IBAMYqj2OSAQBQnpDVAACYjax2oRAOADCWvbQbAAAACkRWAwBgNrLaxbe0G4CS06tXL4WGhmrWrFml3RQAKBTubo2KhqwGUNaQ1ahoyGoAZQ1Z7cIV4WVAaGhogfMDAgIUFBSkli1bqnfv3ho4cKACAwNLqHUV17///W9lZ2fr4YcfLtJ6vXr1Unx8fKGX79ixo1atWuVxnsPh0OrVqzV37lxlZGTorrvu0uzZs4vUnsIaOXKkvvrqK0kXbiLYqFEjj8vZ7XZ9+umnWr9+vX755Relp6erevXquvbaa3XXXXfptttuk4+Pz2W356efftIXX3yh3bt369ixY0pNTZUkVatWTVdeeaXatm2rfv36qUOHDvm+RlxcnG655RZJ0tNPP12o/8tffvlFd955pyTplVde0aBBgy57X5A/G/e3RhlBVpuJrCaryWrrkdUoK8hqM5HVZDVZbT2y2oVCeBlSu3Zt1atXL8/0s2fP6tixY/rqq6/01VdfacWKFVq6dKmaN29eCq2sGDIzMzV79mzVrVu3yIHdtGlT1ahR45LLxcfH69SpU/L39/c4/8SJE5o2bZp27NhRpO1746OPPnKGdUEyMzM1YcIEbd++XZJUo0YNNW7cWElJSdqxY4d27Nihzz77TOHh4QoICPCqLcePH9dzzz3n1p6goCBdeeWVstlsOnHihH788Uf9+OOPWrVqlW688UbNmTNHDRo08Gp7KF3l8AQ0yjmy2hxktWdkNYobWY2yhqw2B1ntGVmN4kZWu1AIL0MGDhyo6dOne5yXkZGhjRs3avbs2Tpy5IgeffRRffbZZ6pWrVoJt7Ji2Ldvn7Kysrxad8WKFZdc5sSJExowYIAk6dFHH80zf9OmTXr++ef1559/qk2bNjpy5IjS0tK8as+lHD9+XLNnz5afn59sNluBy86bN0/bt29XQECAZs2apYEDB6pSpUqy2WzatGmTpk+frqioKC1cuFBPPvlkkdvyyy+/aMSIEUpKSlLVqlX1yCOP6M4771Tjxo2dyzgcDn333Xd6//33tWnTJu3evVv333+/1q5dq+Dg4CJvE6WLM9coa8hqc5DVnpHVKG5kNcoastocZLVnZDWKG1ntwhjh5USVKlU0ePBgzZs3T9KFP/gff/xxKbeq/Nq7d6+lrz9z5kydPn1at99+u7p27eo278CBA5o4caJOnTqlUaNG6f3337f0i9n06dN16tQp3XHHHQUuFx8f7+xqNmnSJN11112qVOnCuTY/Pz8NHDhQkyZNkiStXLlSJ06cKFI70tLSNG7cOCUlJalBgwb6+OOPNWHCBLewliQfHx917NhR4eHhevHFFyVJCQkJev7554u0PZjB5nB4/QBMQ1aXLLI6L7IaViCrUZ6Q1SWLrM6LrIYVyGqXCnVF+MXjFq1evVpNmjTR0qVLtW3bNiUmJqp27drq0qWLHn/8cWd3j48//liRkZH6448/lJWVpSZNmmjYsGG6++67na+blpam22+/XYmJibrlllu0dOlSj9ufMmWKNm7cqJo1a2rjxo2qX79+se9jz549dcUVVyg5OVnff/+9HnzwwXyX/eqrr7Ry5Ur98ssvOn36tEJCQtS9e3eNHTvWY1cx6cIZ2/fee0/ff/+9Tpw4oczMTNWsWVMtW7bUnXfeqYEDB3ocp8rhcOizzz7Tf/7zH/38889KTU1VQECAQkJC1KpVK919993q0qWLx21mZ2frP//5jz755BP98ssvOnXqlKpXr66//vWvuvXWWzVkyBCvuwOdPn1aq1ev1vbt2/XHH3/o9OnTCggIUOPGjdWjRw89/PDDbmc7d+/e7faexsfHO8eaK65xxD777DNt3bpVNWvW1NNPP51nvs1mU/369fWvf/1LN95442VvryBr1qzRjh071LBhQw0fPlxr167Nd9kNGzbIZrOpatWquu+++zwuc99992nRokU6c+aMNmzYoJEjRxa6LcuWLVN8fLz8/Py0aNEiNWnS5JLrDB48WMePH9fZs2fVvXt3ORyOYhlHzZPcn42CNGzYUNu2bbOkHeWNgzPXFY5VWT1p0iR9+umnCgoK0jfffFNgbtx+++369ddf1a1bN7355pvFvo9kddGQ1QUjqwuPrLYGWV3xWJXVkvTAAw8oJiamUO2wclxhsrpoyOqCkdWFR1Zbg6x2qVCF8IudOnVKw4YN0+HDh3XllVcqMDBQJ06c0Lp16/Tdd99p48aNmjNnjiIjI1W3bl3VrVtXR44c0b59+zRt2jSdP39eQ4YMkXRhHKUXX3xRo0aN0tatWxUVFaXevXu7bW/nzp3auHGjJOmZZ56xpAieIygoSMnJyTpz5ky+y7z55pv617/+paCgINWpU0c2m03Hjh1TZGSkvv76a61fv161atVyW+f999/XrFmzZLfb5efnp/r166tSpUo6duyYvv32W3377bfatm2b5s+fL19f984GkyZN0qZNmyRJVatWVcOGDWWz2RQfH69Dhw7pk08+0QMPPKBnnnnGbb20tDSNHTtWe/bscVv3+PHj+u9//6v//ve/ioyM1DvvvJPvl4z8HDlyRA8++KASEhIkXRgrLmfcrf3792v//v1au3at/v3vf+vqq692bv+aa65RQkKC/vzzT/n7+6tp06aSVCxjZaWnp+ull16SJE2ePFl16tTJs0yDBg20YcMGBQUFXfb2ChIfH685c+ZIkl566aVL3ihm9+7dkqTrr78+32WrVKmi66+/Xt988412795d6MA+e/as1qxZI0nq06eP2rRpU9jd0Pjx4wu97OXI+WwU5Ndff5XNZnOe0cellce7VKPwijOr7777bn366adKS0vTtm3b1K9fP4/b/PXXX/Xrr79KkqU37SGrC4esLhhZXTRktTXI6oqtOLNakho3bqz09PR8t5eamuq8Atbq31OyunDI6oKR1UVDVluDrHapsJ+aBQsWqE6dOlq5cqXq1q0rSfrwww/1zDPPKC4uTpMmTdL333+vN954QzfddJMkKSUlRQ899JAOHDigFStWuAV2z549dffdd+vjjz/WCy+8oM6dOzu71Zw/f97ZfaRv376X7ApzObKyspwBlF+A7N27V5988okWLlyovn37ytfXV3a7XStWrND8+fN17NgxvffeexozZoxznUOHDunFF1+U3W5Xp06dNHfuXOf7du7cOc2dO1erV6/WZ599ph49euiuu+5yrhsVFaVNmzbJx8dHzz77rAYPHuw803z69Gm9/fbbWrx4sVatWqXevXurU6dOznWnTJmiPXv2qFatWpo1a5azvQ6HQ1u3btXzzz+vP/74Q2PHjtWHH36Y54tCQaZPn66EhARVq1ZNixcvdjtzvm3bNj355JNKTEzUs88+6+ya1Lp1a23YsEFTp07VunXrVLduXW3YsKHQ27yUJUuWKDExUS1bttTf//53j8tYHdTShSsNpk+frjNnzujee+9V586dFRcXV+A6sbGxkqRmzZoVuFyTJk30zTff6Jdffil0e3744QedPXtW0oUx/UyU89nIzwcffKBnn31WPj4+euqpp0qwZWUbY5lVbMWZ1Z07d1bDhg0VHx+vtWvX5lsI//TTTyVduClR7pPaxYWsJquLA1lddGS1Ncjqiq24j6tzipeenD59WoMHD5YktW3bNt8sLw5kNVldHMjqoiOrrUFWu1TYMcKPHTumRYsWOUNHutDdI+cM5fbt2zVt2jRnWEtScHCwHnvsMef6x48fd3vNadOmOc+qLliwwDl92bJlOnTokK644grNnDnTup3ShbPLOX/Y+vTp43GZH3/8UbNmzVK/fv2cAefr66tRo0bpqquuknThD+TFtm3bpuzsbEnS888/7/a+BQYG6tlnn1XDhg0lyXmGOseuXbskSc2bN9fQoUPdultVr15d48eP1913361evXq5nf3fuXOnvvnmG0nS/Pnz3drr4+Oj3r17a+HChZKkn376SVFRUYV+n5KSkvTf//5XkjRs2LA83cd69eqlhx56SJIUExOjpKSkQr+2t+Li4rR69WpJ0pNPPlmkLx/F7b333tPOnTv1l7/8pVDhkpmZqdTUVEm6ZG+HnPnJycmFvjHKTz/95Py5KGetTbF371698MILkqSRI0daVlwrjxjLrGIrzqz29fV1Hkzu2LFDJ0+e9LjNzz77TJI0YMAAVa5cudj3SSKrC4usLhhZXbzIau+R1RWbFcfV+Zk2bZp+//13BQcHa9GiRV4P41EYZHXhkNUFI6uLF1ntPbLapcJeEd6nTx+PZwCbN2+uQ4cOKTAwULfffnue+S1atHD+fPLkSbc/TtWrV9fLL7+shx9+WKtXr9Ydd9yhwMBA592MZ82aZcnddTMyMnTo0CFt2LBB77zzjiSpR48e6tGjh8flGzRooFtvvdXjvCZNmujw4cNKTEx0mz58+HANGzZMKSkpHv8g+/j4qFWrVoqPj9fRo0fd5jn+/y/On3/+qfPnz3ssLLz88st5pv3nP/+RdOE979atm8f2tm/fXmFhYdq3b5+2bNmivn37elwutzp16uinn35SampqvoWO1q1bO3+Oi4vz2J2qOL322mvKyspShw4d8tzIoyQdPXpUr776qiTpxRdfVPXq1S+5zunTp50/V6lSpcBlL55/5syZQp2JT05OlnTh5iAhISGXXN4bb775ptatW3fJ5TIyMor0uqmpqXr88ceVmZmpLl266IknnvCyhRVT+YtdFEVxZ/WgQYO0ZMkS2Ww2rV+/Pk830n379unQoUOS5HYFVnEgq8nq4kRWF4ysLllkdcVmxXG1J2+88YY+//xz+fn5KTw83JKhRslqsro4kdUFI6tLFlntUmEL4Tk3YsgtZziTv/71rx7PMF98F2FPv7idOnXSsGHDtGrVKj333HOqVq2asrKydNddd1322ap3331X77777iWXGzhwoGbNmpXv/FatWuV7Y4MaNWpIuhCuuQUEBBT4haNq1aqSLpzFvFjnzp3173//WydOnNB9992nMWPGqHv37pf8w55z9vziL0metGnTRvv27dO+ffsKXC43Hx+fAk9M5OyPdGF4GyudOHHC2f0n5+qI0uBwODRt2jSdPXtWf//73wv9xeHi98ff37/AZS/+vSps+OVcjVG5cuUCb8qxePFiffHFF/nOv++++3T//fd7nHfy5Ml8rxD1lt1u15QpUxQfH6+//OUvmjdvXqlekVAW2YnsCq24s7phw4bq3LmzoqOjtW7dujyF8JxhUa6++mpdd911XrWZrPaMrC4+ZDVZbRqyumKz6rj6Yrt379b8+fMlXRgj++IhP7xBVntGVhcfspqsNg1Z7VJhC+H5nY3L+WNwcTB7mi+5zsjmNnnyZH3zzTf6+eefJV04Uzx9+vTLaa6kCzed8HTjCn9/fwUFBenaa69V//79L3ljgYLORPr5+eU779y5c1q7dq22bdumI0eOXPLGITl69+6tBx98UO+++6727dun8ePHKyAgQG3btlWnTp3Uu3dvj23O6Tb1ySef6JNPPrnkdgrbpe5iu3bt0vr16/Xzzz8rKSnp/7F35/FNVfn/x99paWlZpAVaBOvGUqCIqDgooKgoBRHGQURGwQ0ZZFHQ4oIrwsOZYVH2TUXFhcUVEEVGATd2RL9aFYoCWjaBlgJFoEtyf3/wS9Kke5vbnJbX00ceD3PvPclJafNOPveec3TkyBG5XK5SP055LVq0SDk5OYqLiyv0ioOK8Pbbb2vTpk1q2LChHn/88RK3y/vhq7hhWXnDvbgPbW7uD5InT56U0+ks9Pd0//792rZtW6GPU9RQvCeeeEL33HNPsX3ZunWr/vGPfxR7nCRNnTpVa9asUXh4uKZNm2bLiJCqrioOxULJ2ZHVvXv31rp167Rz50793//9ny655BLPPve0KOW5GpysLhpZXX5k9T3F9oWsrlhk9ZnNzu/V0unCZlJSkpxOp7p27aqBAweWo7enkdVFI6vLj6y+p9i+kNUVi6z2OmML4UWd/SrJ/qJERkbq+uuv16uvvipJuuKKKzxvOOXRs2fPgBTUy2L//v269957tWvXLkmnfz6xsbFq1KiR583TveJzQZ566in16NFDr776qr755hudOHFCmzdv1ubNmzV9+nRddtllGj16tE9wnzx5UlLhH1T8lfaM4HPPPaeFCxd67tepU0fnnXeeJ0ROnDih1NTUUj1mWbhcLs/QoZtvvrlcv3vlkZqaqhdffFFSyYduueX9gOv+dyuM+yy0VPSHx7zcc+dZlqXU1FRdeOGFBR7373//u8AFdjp37qy9e/eW6LkC5YsvvtBLL70kSXr22Wd9hgSi5CzOXJ/R7MjqLl26qE6dOjp69Kg+/PBDTyH8//7v/7R3716FhISUa1FrsrpoZHX5kNWBRVYHBll9ZrPze3VOTo5GjBihtLQ0NW7cuMBpP8qCrC4aWV0+ZHVgkdWBQVZ7nbGFcDtt27bNM9QqJCRES5cu1c0335xv4YjK5IknntCuXbsUEhKiESNGqHfv3vnmlHKv+FyYNm3aaNq0acrOztbmzZu1bt06ff3119q+fbu+++473X777Xrvvfc8qyPXqFFDx44dU6dOnTRhwoSAvp6lS5d6wrpDhw5KSkrK94a6ceNG3XXXXQF93oJs3rzZsyK5nSufF8XlcumJJ57QyZMn1b9//0LnjitMeHi4YmJidOjQoWKvIHAHZ8OGDVWtWsnegvJesbl58+ZCA9sUqampeuyxx2RZlvr06eNZ3R6lxxAuBFr16tXVo0cPzZ8/X8uXL9fTTz+t8PBwz4JUV155pRo2bBjkXpYNWW0fsrp4ZPWZi6yGXcaNG6fvv/9eNWvW1IwZM0pVUDQVWW0fsrp4ZPWZi6z2YlKdAMvJydHjjz+unJwc9enTR/fcc49nfqjMzMxgd69MDhw4oPXr10uSbrvtNg0ePLjAhRUKO2vtLzw8XB07dtSjjz6qZcuWae7cuapRo4ZOnDih2bNne45zz5tWlqFZxXEvGBIVFaWZM2cWeFYx70rbdvryyy8lnT47W9y8bXbZv3+/vv32W0mnh3E1b9483+3666/3HH/99derefPm6ty5s2ebe37AX3/9tcjnSklJkSQlJCSUuH8XXXSR53fuvffeK3G7YDh16pQefPBBHTt2TBdddJGeffbZYHepUmN1a9ihd+/ekqTMzEx9/fXXcjqdnkJ4SYdomoasthdZXTyy+sxFVsMOy5Yt09tvvy1J+u9//6smTZoEuUflR1bbi6wuHll95iKrvSiEB9iMGTO0bds2xcTE6LHHHtPw4cN17rnnav/+/QUOLakM3GdVJelvf/tbgcf89ddfnjf8guTm5ha67+qrr/bMx+p+M5e8q0v/8ssv+RYKyauofYVxnz296KKLfBbvyOurr74q9eOWxZo1ayQV/rOtCA6HQ7Vr1y7ylneYVs2aNfNtu/rqqyVJ3333nc9q13kdOXJEycnJklSqOdvCwsI8VxH8+OOPWrJkSalen9PpLNXx5TF69Ght27ZN0dHRmj59eoGLA6HkXLLKfAMK06pVK7Vs2VLS6QUy165dq0OHDqlmzZpKTEwMcu/Khqy2F1ldPLL6zEVWI9C2b9+uZ555RpJ03333qWvXrkHuUWCQ1fYiq4tHVp+5yGovCuEB9OOPP+qVV16RdPqP9qyzzlJkZKRnpenFixdr5cqVweximeRdeOHw4cMFHvPCCy94rnjPu2jD0aNHdeutt+rSSy/Vd999V+hzuAM9bwD07NlT0ukr9hYtWlRgu+zsbP3jH/9Qr169ShWw7tdU2OvZsmWLTyj4r27tnm+spKszFyYrK0s7duyQJM/QtWBo1KiRvv322yJv7rP90ukz/99++62WLVvm2dazZ09Vr15dp06d0ltvvVXg87z++uvKyclRzZo11b1791L18Z577vGc7X7uuedK9O/9119/adSoUZ6rH+yeJ27BggVasmSJQkJC9OKLL6pRo0a2Pt+ZwCrHf0BR3FeFf/HFF3r//fclnR5GGxkZGcxulRlZTVaT1SVDVgceWY1AOn78uB588EGdPHlSV1xxhUaOHBnsLgUMWU1Wk9UlQ1YHHlntRSE8QLKysjRq1CjPatZdunTx7OvQoYNuueUWSacn9y8sJEzVtGlTRUVFSZLmzZvns9DF7t27NXLkSK1YscKzMnB6erp27twp6fRCGWFhYcrOztZDDz2kb775xmf16JycHC1dutQzB1res/3t27f3nA2dMGGCZwVotx07dmjw4MHasWOHdu7cqWbNmpX4NV1++eWSTp8VdxdApNMLUixYsEADBw7U8OHDPdu3bNni0969yER6ero2bdokSSVa6dvfjh07PGdVK2p+ri5duighIUF33313QB+3Xr16GjRokCRp5syZevfddz0fxHJycjR//nzPiaKHHnqo1AvIhoeHa/r06brgggt08uRJDR48WE8++aSSk5PzrTS/c+dOzZkzR4mJiZ7frWuvvdbWuel++OEHzwI+Dz30kDp27Gjbc51JXOW4AUXp2bOnwsPDdfLkSf3vf/+TJE9WV0ZkNVldEmQ1WW0HshqBYlmWHn/8cf3+++86++yzNXnyZM8CklUBWU1WlwRZTVbbgaz2YrHMAJkyZYp27Nihs846yzOMK6/HH39cX331ldLT0zV69GhNnz49CL0sm2rVqumhhx7Sc889p71796pbt26Ki4tTTk6O9u3bp9q1a2vWrFkKDw/X66+/Lsuy1Lt3bzVs2FAffPCBxo8fr3vuuUd79+7VwIEDVbNmTc+8VAcPHvSsdnzdddfpzjvv9HnuiRMnasiQIfr+++81evRoTZgwQWeffbaOHj2qtLQ0SVJkZKReeOGFUp0lvO+++/Txxx8rIyNDTz31lCZPnqzatWtr3759ysrK0t13361Bgwbpww8/1K5du/TSSy9pxYoVGjJkiP7xj3/o6quv1pw5cyRJd955p8LCwtS0adNSDy06dOiQ5//dH4qK89RTT+mnn37y2Xbw4EFJ0urVq3XzzTf77Hv++ed95mpzOp1yOp0+H5wCZciQIdq9e7eWLFmiZ555RhMmTFBsbKwOHDjgGdZ155135vt3Lqm4uDi99957+ve//62PPvpIH3zwgT744APP75TL5dKhQ4d8Vtg+//zzNXToUNtXDp8yZYrnA+Unn3zimW+4MP/85z91++2329afqsJVBeckgxmioqJ0ww03eP5Wzz33XLVt2zbIvSo7spqsLimymqwONLIagfLdd995RlDn5uZqwIABxbZZunSp3d0KGLKarC4pspqsDjSy2otCeABs2bJF8+bNk3S64F3QghdRUVF6+umn9fDDD+uzzz7T0qVL872xmuz2229XdHS05s2bp5SUFO3du1cxMTG64447dO+99+q8886TJD388MN6++23dfToUVWvXl2hoaE677zz9NFHH2np0qVasWKFfv31V+3Zs0cOh0P169dXhw4d1LNnT3Xt2jXfG2p0dLTmz5+vpUuX6pNPPtHWrVv1xx9/KDw8XPHx8brqqqt05513lnqoTMOGDfXuu+9q2rRpWr9+vTIyMpSVlaXLL79c/fr18yxgMWHCBD377LPasWOHTpw4oTp16kg6feb72Wef1WuvvaYDBw6oZs2anvlmSyPvnF95h68VJTU1Vdu2bStw39GjR/MtruL+QFQRQkNDNX78eHXp0kXvvfeekpOTlZqaqqioKLVv31533HGHOnToUK7nOOusszR+/HgNGjRIn376qTZu3KjU1FT9+eefcjgcqlu3rmJjY3XppZfqmmuu0d/+9rcKuZIk73x9eefkK4z7AyeKVhWHYsEcvXv39lkk0+5hnnYjq8nqkiCrTyOrA4esRqDk/RtNS0urkn+DZDVZXRJk9WlkdeCQ1V4Oy3/sAwAAhuhYt+xD4dYeXhvAnqAq2rZtm26++WaFhIRo1apVzD8IAGVAVgMAYDay2osrwgEAxuJMLezkHs11zTXXUAQHgDIiqwEAMBtZ7UUhHABgLBeRDZskJydr2bJlkqR//etfQe4NAFReZDUAAGYjq70ohAMAjEVcww5btmzRww8/rNzcXHXt2rVSL5IJAMFGVgMAYDay2otCOADAWCzqgUDq0aOHjh8/rv3790uSmjRporFjxwa5VwBQuZHVAACYjaz2ohAOADCW5Sj+GKCk9u3bpxMnTigmJkaJiYkaMWKE6tSpE+xuAUClZkpWO51Ovfzyy1q8eLH27dunevXqqXv37hoxYoQiIiIKbbdx40bdddddhe7/+eefVa0aX5sBAJWXCVltSk6T6AAAY3HmGoH03XffBbsLAFDlmJLVzz//vN5991098MADateunX799VdNmDBBv//+u2bPnl1s+zFjxqhVq1b5tlMEBwBUdiZktSk5TaoDAIwV/LgGAABFMSGrd+/erYULF2rAgAEaMmSIJKlt27ZyuVwaM2aMvv32W11++eVFPsaFF16o1q1bV0R3AQCoUMHOapNyusSF8DEL1vjcv7ft+X5H+P9Y/a+7L2p/edpW9H6T++a/3+S++e83uW/++03um/9+k/tW3H6T++a/3+S++e8v32O/viXV5/7oO66SnUwYwlWZjGvRy+f+HUun+h3B32TF7Pdncl/5HQj+fpP7Vtz+4tr6M7mvJu0v32MvuHm4z/1R2xbLTiZk9apVq2RZlnr27Omz/aabbtLYsWO1cuXKYr9gVxSy2oTnLu1+k/vmv9/kvhW036S+VJXfAf/9JvfNf7/JffPfX77HXnDzCJ/7VT2rTcpprggHABjL5SiuqAIAAILJhKxOSUmRw+FQkyZNfLbXqVNHsbGx2rp1a5B6BgBA8AU7q03K6ZAKeyYAAErJUY7/AACA/UzI6vT0dNWqVUvh4eH59kVHR+vw4cPFPsann36q3r1769JLL1W7du00YsQI/fHHHwHrIwAAwRLsrDYpp7kiHABgLIfF+VoAAExmZ1bn5OQoNTW1yGNq166trKysAr9cS1JYWJiOHj1a7HNt27ZNgwYNUkxMjH788UfNnDlT33//vT755BPVrl27TP0HAMAEdmV1ZczpEhfC7Z4HFgBgvtHNz6vQ53NUwGRm27Zt00MPPaRdu3Zp+fLl+YZrFWTTpk2aNm2afvrpJ4WEhOjyyy9XUlKSWrRoYXt/i2L33HIAAPNVdBbYmdUHDhxQ9+7dizymV69eioiIUE5OToH7s7OzFRERUWj7Sy+9VGvWrFG9evUUEnK6UHDZZZfpwgsv1KBBg/Tqq6/qoYceKvNr8EdWAwCqSlZXxpzminAAgMHsLYTPnz9f48aNU506dUrcZsuWLRowYIDat2+vmTNnyul0atasWerfv7+WLFmiuLg4G3sMAIBp7MvquLg4paSkFHvcU089pczMTGVnZ+e74iw9Pb3IE9Xh4eGKiYnJt/3qq69WRESEkpOTS99xAACMYk9WV8acZsw5AMBYDiukzLfibNq0SePHj9fo0aPVt2/fEvdpypQpql+/vmbOnKmOHTuqU6dOmjVrlnJzczV79uzyvFwAACodO7O6pFq2bCnLsvTrr7/6bE9LS1NaWppatWpVZPvs7Ox823Jzc5WTk6Pq1asHrJ8AAARDsLPapJymEA4AMJZDIWW+FScqKkqLFi3SrbfeWuL+HDlyRJs3b1aXLl18zmTXrVtXHTt21MqVK8v0OgEAqKzszOqS6tKli6pVq6alS5f6bHffv/HGGwtt++STT6pdu3b5FupatWqVnE6n2rVrF7B+AgAQDMHOapNymqlRAADGCtQq1QWJj48vdZvt27fLsqwC2zZt2lQrV67U/v371bBhw0B0EQAA49mZ1SXVoEEDDRgwQK+++qqio6PVrl07/fzzz5o2bZpuueUWtWzZ0nPs3XffrV27dunrr7+WJPXr10/Lly/Xvffeq/vvv18xMTH64YcfNHv2bDVp0kR9+vQJ1ssCACAggp3VJuU0hXAAgLECebVYIKSnp0uSoqOj8+1zb0tPT6cQDgA4Y5iS1UlJSapTp47effddzZw5U7Gxsbrvvvs0ZMgQn+NcLpecTqfnfqtWrbRgwQJNmzZNo0eP1okTJxQbG6tevXrpgQceUM2aNSv6pQAAEFAmZLUpOU0hHABgLBMCO6+srCxJUlhYWL597m2nTp2q0D4BABBMpmS1w+HQwIEDNXDgwCKPe+utt/JtS0hI0Jw5c+zqGgAAQWVCVpuS0xTCAQDGCjEgsPOKiIiQJOXk5OTb594WGRlZoX0CACCYTMtqAADgi6z2ohAOADCWCWeu86pfv74kKSMjI9++tLQ0SVJMTEyF9gkAgGAyLasBAIAvstqLQjgAwFimBXbz5s0VGhqqlJSUfPtSUlIUExOj2NjYIPQMAIDgMC2rAQCAL7Lai58EAMBYIQot880OtWvXVocOHbRixQqfucAPHDig9evX68Ybb7TleQEAMJVpWQ0AAHyR1V4UwgEABnOU41a0PXv2KDk5WcnJyTp48KAk6bfffvNsy87O1pIlS5SQkKA1a9Z42o0cOVKZmZkaNmyY1q1bpy+++EKDBw9WnTp1dP/99wfwtQMAUBnYl9UAACAQyGo3pkYBABgrxGHfGegZM2Zo8eLFPtuGDx/u+f9Vq1bJ5XLJ6XTK5XJ5trds2VLz5s3TpEmTNHToUIWGhqp9+/aaPHmyZw5xAADOFHZmNQAAKD+y2sthWZYV7E4AAFCQzvX6lLnt6vT3AtgTAABQELIaAACzkdVeXBEOADCWowrOSQYAQFVCVgMAYDay2otCOADAWA4HS1kAAGAyshoAALOR1V4UwgEAxqqKq1QDAFCVkNUAAJiNrPaiEA4AMBaLegAAYDayGgAAs5HVXhTCAQAGYwgXAABmI6sBADAbWe1GIRwAYCzOXAMAYDayGgAAs5HVXhTCAQDGCnEQUwAAmIysBgDAbGS1Fz8JAICxHJy5BgDAaGQ1AABmI6u9KIQDAIzlYC4zAACMRlYDAGA2stqLQjgAwFghIZy5BgDAZGQ1AABmI6u9KIQDAIzlYC4zAACMRlYDAGA2stqLnwQAwFgOOYLdBQAAUASyGgAAs5HVXhTCAQDGcoQQUwAAmIysBgDAbGS1Fz8JAICxHMxlBgCA0chqAADMRlZ7UQgHABgrxEFgAwBgMrIaAACzkdVeFMIBAOZyhAS7BwAAoChkNQAAZiOrPSiEAwCMxRAuAADMRlYDAGA2stqLQjgAwFgENgAAZiOrAQAwG1ntRSEcAGAuhyPYPQAAAEUhqwEAMBtZ7UEhHABgLM5cAwBgNrIaAACzkdVeFMIBAMYisAEAMBtZDQCA2chqLwrhAABjOUJY3RoAAJOR1QAAmI2s9qIQDgAwF4ENAIDZyGoAAMxGVntQCAcAGIsz1wAAmI2sBgDAbGS1F4VwAIC5CGwAAMxGVgMAYDay2oNCOADAXA4CGwAAo5HVAACYjaz24CcBADCWIzSkzDcAAGA/k7I6NzdXkyZNUosWLfTwww+XuN3Jkyc1fvx4XXvttbrooovUpUsXzZ49Wy6XK+B9BACgopmS1SbkNFeEAwDMxRAuAADMZkhW79+/X0lJSdq9e7csyypV2xEjRmjz5s165JFH1KJFC3333XeaOnWq0tPT9fTTT9vUYwAAKogBWW1KTlMIBwCYy+EIdg8AAEBRDMnqxx57TKGhoVq8eLGuuuqqErfbuHGjvvrqKz377LPq16+fJKlt27Y6cuSIXnvtNQ0YMECNGjWyq9sAANjPgKw2JaeDf0oAAIBCmDKECwAAFMyUrO7bt6/mzZunmJiYUrX7/PPP5XA4dNNNN/ls79mzp1wul1atWhXIbgIAUOFMyGpTcporwgEA5jJgCBcAACiCIVndo0ePMrVLSUlRbGysoqKifLY3btxYDodDW7duDUDvAAAIIgOy2pScphAOADBXaPCHcAEAgCJU8qw+fPiwoqOj820PDw9XrVq1dPjw4SD0CgCAAKrEWR3onKYQDgAwlwFzmQEAgCLYmNU5OTlKTU0t8pjatWsrNja2zM+RlZWlGjVqFLgvLCxMp06dKvNjAwBgBJuyujLmNIVwAICxHBUwhGvbtm2aNGmStmzZotzcXLVu3VrDhw9Xu3btCm1z5513atOmTQXuGzx4sB5++GG7ugsAgFHszOoDBw6oe/fuRR7Tq1cvjRs3rszPERERoZycnAL3ZWdnKyIiosyPDQCACezK6sqY0xTCAQDmsnkIV2pqqvr166fGjRvrhRdeUEREhN544w0NGDBA8+fPV5s2bQpt26pVK40ZMybf9vKc7QYAoNKxMavj4uKUkpJi2+NLUv369bVz585820+dOqXjx4+T6wCAys+mrK6MOU0hHABgLpunRpk1a5acTqdeeukl1a1bV5LUtm1bJSYmavLkyZo3b16hbWvWrKnWrVvb2j8AAIxXyacxa9mypTZs2KCMjAyfOUi3b98u6fSJbwAAKrVKnNWBzungLxsKAEBhQkLKfiuGZVlauXKlOnTo4CmCS6cX3UhMTNTGjRt17NgxO18dAACVn41ZXRG6desmy7L00Ucf+WxfsmSJwsLCdMMNNwSpZwAABEglzupA5zRXhAMAzGXjcOt9+/YpMzNTzZo1y7evWbNmcrlc2r59uy6//HLb+gAAQKVn8zRmJZGdnZ1vaPaxY8eUnJwsSYqOjlZcXJwkqUuXLqpfv74WLlwoSWrTpo1uuukmTZkyRdWqVVOLFi20fv16LVy4UMOGDVO9evUq9sUAABBoQc5qk3KaQjgAwFwh9gV2enq6JPkMr3Jzb3MfU5CMjAyNGjVKGzZsUFpams4//3zdcccd6tevnz0dBgDARDZmdUkdPHhQt956q8+2NWvWaM2aNZJ8F+pyOp1yOp0+x44bN07Tp0/XK6+8orS0NMXFxWnUqFG6++67K+YFAABgpyBntUk5TSEcAGAuG+cyy87OlnR6KhR/YWFhkk4vwFGYPXv2KDExUS+++KKOHTumRYsWaezYsTp16pTuu+8+ezoNAIBpDJh3tDSLda1evTrftvDwcI0cOVIjR44MdNcAAAi+IGe1STlNIRwAYC4bh3BVr15dkpSTk5Nvn7tIHhkZWWDb6dOnq1q1aqpVq5Zn27XXXqu+fftq2rRp6tu3r88+AACqLAOmRgEAAEUgqz2CP+s5AACFCXGU/VaMmJgYSdLhw4fz7UtLS/M5xl9UVFS+QrfD4dD111+vU6dO6bfffivtKwUAoHKyMasBAEAAkNUeXBEOADCWw8YhXGeffbaio6MLHKKVkpKisLAwxcfHF9jW5XLJ5XKpWjXfGHVPpeK+2hwAgKrOzqwGAADlR1Z7cUU4AMBcoY6y30qga9euWrdunQ4dOuTZduLECX322Wfq1KmTatasma9NamqqLr74Yr344os+251Op1auXKmoqCg1bdq0fK8bAIDKwuasBgAA5URWe1AIBwCYy+YhXEOHDlVkZKQGDx6sL7/8UmvXrtXQoUN18uRJJSUlSZI2bdqkhIQEvfPOO5Kk8847T126dNEbb7yhF198UevXr9eqVas0aNAgbd++XY888ohnsU0AAKo8hlsDAGA2stqDqVEAAOay+Qx0gwYNtGDBAk2cOFFJSUmyLEuXXHKJ3nzzTc9V3ZZlyel0yuVyedqNHz9eCQkJeu+99/T6668rLCxMCQkJmj17tjp37mxrnwEAMEoVvFoMAIAqhaz2oBAOADBXBcxl1qRJE82ZM6fQ/VdccUW+ecTDw8P1r3/9S//617/s7h4AAGZj3lEAAMxGVntQCAcAmKsKDsUCAKBKIasBADAbWe1BIRwAYC5WsgAAwGxkNQAAZiOrPSiEAwDMxZlrAADMRlYDAGA2stqDQjgAwFgOAhsAAKOR1QAAmI2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", 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i586d086dOyVJAQEBmc6T03quuuqqXLcrza5duzR48GDt3r1bklSqVCmFh4frwIED2rRpkzZt2qSFCxfqrbfeUu3atTMsv2zZMo0ZM0apqakqXry4qlatqpSUFG3btk3btm3T+++/r7feeivfVy+4XC7NmjVLc+bM0Z9//ilJKlmypCpUqKAqVaro+PHj+uOPP/THH3/ok08+0aRJkzRu3DhFRkbma3vIJQev2PJ10MJsZDaZnR9kNpmN/8cV1vAR8pq8zg/ymrzG/3Mwrz/99FN9/vnnmj17tpKTk5WcnCxJSk1NlST9+eefCggIUGBgYKFtk2J2IUtOTtb7778vSRo7dqwefvhhffLJJxozZoxCQkKKtnE+9PPPPxd1Ey45+X3POnXqpE6dOuU4X1RUlHbu3Klrr71WzZo1y3Se/JwRzs6ZM2f0wAMPaM+ePQoJCdHzzz+vbt26yc/PTy6XS0uXLtW4ceN04MABPfroo1q2bJmKFSvmWX7Lli2ekO3evbueffZZhYaGSpJ+//13PfHEE/r111/10EMP6b///W+2Z3Mzk5ycrOHDh+vzzz+XJLVv314DBw5U8+bNVbz4Xx+PCQkJWr58uebMmaNjx45pxIgReuWVV3TLLbcUwruEzLjlzJnjoghamIvMvoDMzjsym8zGBU7lNXAx8voC8jrvyGvyGhc4mdeff/653G63Bg8enOn0a6+9VsOGDdPw4cMLbZucSi9kn332mY4cOaK6deuqc+fOaty4sc6dO6dly5YVddN86pdffinqJlxynHzPNm/erPnz5ysgIEDjx4+Xn49uCV2yZIn27NkjSZo0aZJuvvlmz7b9/f3Vq1cvDRs2TNKFW8B++OEHr+UnTpyo1NRUNWzYUBMnTvSErCTVrl1br732moKCgrRv37583ToUFRWlzz//XH5+fnruuec0e/ZstWrVyitkJalKlSoaMmSIPvjgA4WHh8vtduv555/XgQMH8rxNFK2Lg/baa6/1PDZu3KiNGzfq2muv1ezZs4u6mfARMvsCMjvvyGwyG4DvkNcXkNd5R16T13DekCFDtHDhwgyPBg0aqEGDBlq4cKF69epVqNs0rpgdHx/vGVjghx9+0LFjx/Tiiy+qY8eOaty4sdq1a6fRo0crISHBs8wHH3yg3r17q0WLFmrSpIl69uypDz74wGu9J06cUNu2bRUREaGhQ4dmuf1Ro0YpIiJC1113Xb7+iN59911J0m233SZJuuOOOyRJ7733XrbLLVmyRBEREWrYsKEkaevWrRo+fLjatm2ra665Rl27dtWUKVN0/vx5SReuHoyOjtbNN9+sJk2aqEWLFrrvvvu0cePGDOvesGGD5z3dsWOHDhw4oOeee04dO3bUNddco5YtW6pfv35auXJlnvY1s8Ep0gayOHHihCTpqaee8swTHx/vNU/6wS5yWvfFtmzZohEjRuiGG25Qo0aN1K5dOz3++OPaunVrrtq+c+dOjR8/XjfffLOaNm2qpk2bqlOnTnrqqacKHHixsbF6/PHH1blzZzVp0kSNGjVS27Zt9dBDD+mLL77IMH9u3rOCSElJ0TPPPKPU1FQNHDhQdevWLfA6cysuLk6lSpVS1apVdeONN2Y6T/fu3T3//+233zz/T0hI0LfffitJuueeezKEnyRVqlTJc+Z26dKleWrbtm3b9M4770iS+vbtq759++a4TI0aNTRp0iTdcsstevrpp/N8ljqvOnbs6PldyOmxYcMGR9via24//3w/slMUQWszpzJ75MiRioiIUKtWrTy5l5Vbb71VERERuv/++/PcfjKbzCaz/0JmF8zlmtlO5TUKl1N5Lf31uZibx5IlS/LVfvKavCav/0JeFwx5XfiZXbNmTbVo0SLDo0yZMipTpoxatGihK6+8slD3x+huRk6dOqV+/fpp9+7dqlatmoKCgnTw4EEtXbpU33//vVasWKEJEyYoJiZGYWFhCgsL0549ezy3TZw7d059+vSRJIWEhOjFF1/Ugw8+qDVr1mj16tXq3Lmz1/a+/fZbrVixQpL0zDPPqHLlynlq744dOxQbG6tixYrp9ttvl3QhcCdMmKA//vhDGzZs8AwIkJ3NmzdrwIABki58kJw6dUq7du3SrFmztHv3br300ksaMGCAfv31V1WvXl0VK1ZUfHy81q9fr++//16LFy/Osj+oP/74Q+PGjdORI0dUvnx5ValSRfv27dP333+v77//Xps3b9aTTz6Zp/2+WPXq1XX06FH9/vvvki6cbStXrpykrPuQyqvPP/9cw4YNU0pKiiSpatWqCgwM1KeffqrPPvtMr732WrbLL1u2TM8++6zOnz8vPz8/VapUSW63W/Hx8YqPj9eyZcs0cuRIPfDAA3lu2+TJkz1XdQYEBKhSpUry8/NTQkKC1q5dq7Vr12rgwIFe77HT79lbb72lrVu3Kjw8PNsTOU4YN26cxo0b5+nKITMX7+PFRasNGzbI7XZLkm644YYsl7/hhhv0/vvv648//tChQ4cUFhaWq7bNnTtXklSiRIk83e7SrFmzLG8hK2y1a9fOdtCOQ4cO6dixY5KU6ReRS5pDB7k1a9ZUzZo1M7ye9j63aNHCke1eDgozs3v16qX//ve/OnHihNauXatu3bplus3t27dr+/btkv46sM0tMpvMJrO9kdkFc9lmtg+K0lu3btWjjz6qnTt3auXKlZn2/5pebGyspk2bpl9++UX+/v5q0aKFRo4cmaHv2q1bt2ry5MnauHGjUlJS1LhxY40YMUItW7Z0aneKXGHmtXThczExMTHL7R0/flwHDx6UlL/fffKavCavvZHXBUNe28Hon8zUqVNVoUIFzZ071/PHs3jxYj3zzDOKj4/XyJEj9cMPP2jOnDmeM1LHjh3TPffco7i4OL3xxhteQdu+fXv16tVLH3zwgV544QW1bt1apUuXlnSh4/7nn39ekhQZGakePXrkub0xMTGSpLZt26pSpUqSLhRIIiMj9eGHH+q9997LMWjdbrfGjBmj3r176/HHH1eJEiWUnJys5557TkuWLNEnn3yis2fPKjk5WR9//LFnsIC0cE5KStLcuXM1YcKETNf/r3/9S+Hh4Vq0aJFq1Kjhec8ef/xxrV+/Xm+99ZY6deqU74LOSy+9pPj4eE//UiNGjMhzgSE7iYmJGj16tFJSUlSjRg3NmDHDcxb01KlT+ve//63Ro0dnufzGjRv19NNPKyUlRd26ddOYMWM8P6tjx44pKipKy5cv16RJk1SrVq1c9ZOVZsOGDZ6QvfXWW/Xcc895AvP48eMaO3asPv30U7311lvq0KGD50uyk+/ZoUOHPF88Ro8erZIlS2Y7f2JiopYtW6YNGzbo0KFDCgwMVI0aNdSlSxd16NAh3+3I7gvD5s2bPf+vU6eO5//btm2TdGHwjYoVK2a5fK1atTz//+2333IdtN98840k6cYbbzS2r7033ngjy2kHDx5Uz549JUldunTRtdde66tm+YTToy2j8BVmZrdu3VpVq1bVvn37tGTJkiyL2f/9738lXcja9Ceoc0Jmk9lkdubI7Py5XDPb6bxeuHChoqKiPH+fubFx40YNHDhQrVu31owZM5SamqqZM2eqX79+WrZsmcLDwyVJe/bsUd++fVWrVi1NmjRJJUuW1Lx58zRw4EAtXLhQTZo0cWq3ilRhH2O/9NJLWW7r9OnT6t27tySpSZMmWeZ5dshr8pq8zhx5nT/kte/kp5ua3DK6NL9//35NmzbN6w+nd+/enqvqPv/8c40ZM8br1orQ0FDP2b79+/dn6CpkzJgxqlq1qg4cOKCpU6d6Xp81a5Z27dqlK664QuPGjctzW8+cOePp2P/OO+/0mpYW4KtWrfKc4cmKy+VSuXLlNGbMGJUoUULShQ+pxx57TNKFIP7yyy8VHR3tNept48aNPbeC/O9//8ty/SdOnFB0dLQnZKUL79nkyZM9t3MsWrQoV/tcFFasWOG5Vejll1/2up2nTJkyeuGFF1StWrUsl3/llVeUkpKi5s2ba8qUKZ6QlS68D//+9789Zygv/v3Ijc8++0zShZ/XuHHjvL50ly9fXlFRUZ73OK+3m+VXdHS0kpKSdO2116pLly45zt+lSxe99NJLWr16tX7++Wf98MMP+uCDDzRkyBD179/f894XltTUVE+Y1KhRQ23btvVMS7uC4+KfUWYunp62TE4OHTrkmfeaa67JU5tNkJycrEceeURHjx7VVVddpaioKJ/10eYrvr5tecGCBY6G7eWgMDPb39/f80Xy66+/1qFDhzLd5scffyzpwq2UaZmZG2S2b5DZeUNmZ47MNpuTeR0bG6sJEyZo7Nixuuuuu3LdprRi7YwZM3TDDTeoXbt2mjlzplJSUryuLp05c6ZSU1M1e/ZsdejQQa1bt9a0adNUoUIFTZkyJV/vx6XAiWPsrIwZM0Z//PGHQkNDNW3atDwPsE1e+wZ5nTfkdebIa7M52c1IUTCvRRfp0qVLpmdz0j5cg4KCdOutt2aYXq9ePc//0x8ABwcH6+WXX5afn58WLlyoX375Rb///rvnj338+PFeHeDn1kcffaTExESFhoZmOLt23XXXqUaNGkpOTs60n7H00ge1JIWFhXk+uFu2bOkVlGnS9jurg35J6ty5c6Zn1cqXL+/5wvLdd9/l2Mai8tVXX0m6cNtTVme2//GPf2T6+v79+z39nd17773y98/81z+tX6e4uDjt3r0712175pln9NNPP2nNmjUKDg7OML1UqVKeM5x79+7N9XrzKz4+3tMv3YgRI3K1zBVXXKEpU6Zo/fr12rx5s5YvX+4pKMXGxmr48OFyuVyF1sYJEyboxx9/lCQ9+eSTXl9w//zzT0nKsc+si6enLZOTi7/w5hTk+bVz50716NEjV4+dO3fmad0vv/yyNm3apFKlSmn69OmZ/r5d8vz88v9AkSjszL7jjjvk5+en1NTUTAd42rJli3bt2iVJns+p3CKzfYPMzj0yO2tktuEczOuQkBDFxMRk+jmblRMnTuj7779Xly5dvH5HQ0NDdcMNN2j16tWSLhQvV69erTZt2ngd+wUGBioyMlIbNmzItuuMS5kTx9iZmTNnjj799FMVK1ZMU6ZMyXMXnhJ57Svkde6R11kjrw1XkLw28Bjb6G5GshqYIK1rkKuuuirTs7tp0yXp7NmzGaZff/316tevnxYsWKDnnntOpUuXVnJysnr27Jnn25TTpA1Kcfvtt2e43cPPz0+9evXS5MmT9Z///EeDBg3K9gxP+r7c0pQuXVonT57M8X3JbJ/TNG3aNMtpERERWrVqlY4eParExESVLVs2y3mLSlrfqFm9R5KyvCVw06ZNnv9nN0DDxcv/+uuvmX6pyUrJkiWzvc0o7WeU04BmheHtt99WSkqKGjVqpNatW2c5X8OGDfXII4+oZMmS6tOnj1f769evr6ioKF1xxRWaM2eOYmNjtWrVqnzdInix1NRUvfTSS1q4cKEk6ZFHHslwu1na73FOfZpd/Blw5syZXG3/4kDO7uf122+/ZXtLXVhYWJa3KZ07dy7Xg6XkxfLlyz1Xdrz00ktet40BRamwM7tq1apq3bq11q9fr6VLl2rw4MFey6V1MVKzZs0897FHZvsGmZ17ZHbWyOzL18XF09yKi4uT2+3OdNk6depo9erVSkhIkMvl0qlTpzL9fKlbt65cLpfi4uKsHEvDqWPsi23YsEGTJ0+WdGFQ5+uvvz5fbSWvfYO8zj3yOmvkNXzJ6GJ2VmdC0kLq4kDNbLokT+f26T3++OP66quv9Ouvv0q6MCDA008/na92/vzzz571ZHXlwO23365XX31Ve/bs0fr167PtbD+n/crNfmelSpUqWU674oorPP8/duyYkUGbdravQoUKWc6TVd9Phw8f9vw/t0GR21tq0pw8eVLvvfeevvrqK+3bt0/Hjh3L9Yd/YTp9+rTnjHG/fv2ynbd+/frZfnGRpGHDhuk///mPEhMT9dFHHxUoaJOSkjRy5Eh9/vnnkqQhQ4ZkOmhG2tng7Aa2kC4EWvplcnLxgA+nTp3Kcr4///wz27DMbtn69et7bovMSY8ePXIVylu3btXYsWMlSffdd5/XKNW2MfFWJmTPiczu1auX1q9frz/++EM//vij18FiWhcjeb0qm8z2HTI7d8js7JHZZjMtr48ePSrpwhWx6aW9dvToUc9VkDnNZyMnj7GlC5/FI0eOVGpqqrp27apBgwblq53kte+Q17lDXmePvDabaXldUEYXs3MKjoL0XxMUFKROnTrpzTfflCS1atUq2xFNs5N2xlhSrn7x33vvvWyD1un9zkpWI96aJO1MYnb9rWXVb+rFgVevXr0sb4G6WKlSpXLdtq1bt2rQoEGeQC9evLgqVqyoatWqeba1Z88eJSUl5Xqd+bVy5UolJSUpKChIkZGRBV5fUFCQmjVrpnXr1hXoTOiBAwc0ZMgQ/fbbbypevLieeeYZ3X333ZnOm/aFMqcvKhe/n7m9Feji2wCzux2tRYsWnkEyLhYdHa3p06fnaluF5dSpUxoxYoTOnDmjli1batSoUT7dvq+5Zd6tTMieE9nVpUsXlStXTidPntSSJUs8xewff/xR+/btk7+/f54HbCazfYfMzh0yO3tkttlMy+u0AkxmVx2mvXbxFbaZfT5lNp9NnMyttD5njxw5olq1aunll1/O97rIa98hr3OHvM4eeW020/K6oIwuZjtp69atmj9/vqQLA00tX75cPXr0UJs2bfK0nsTExDwPNLBmzRodPnw429FjnZJdgF48LacReZ2W1dn+EiVK6MyZM9nuR1YfzBeH5syZM7MdxCKvXC6XHnnkER0+fFglS5bUk08+qVtuuSXDyOv9+/dXbGxsoW03KytWrJAktWvXLsurDPIq7SqC/H5R2LZtm+6//34dPnxY5cqV06uvvprtrVlXXnmlJOU4wMy+ffs8/08bnT4nISEhqlmzpnbt2uWTn0dBud1u/fOf/9Tu3btVqVIlTZkyRcWL2/3xbduZY+RPiRIldOutt2rhwoVauXKlnnnmGQUGBnpy9/rrr8/2aqj0yGxnkNkFQ2Znj8w2m2l5nfZ5mNlVh2mvBQUFea7Mzmy+tM+s3F6NiL9ERUVp06ZNKl26dIH6nCWvnUFeFwx5nT3y2mym5XVB2bU3uZScnKwnn3xSycnJ6t27t+6991653W6NGTMm21saMrN06VKdPXtWQUFB+vbbb/Xzzz9n+di4caNCQkKUkpKi999/36G9y97FtwGld+TIEc//L74dyinZ3Z6W1YAraYOVHD9+PMtl9+/fn+nrFw86ktsRuHPrp59+8gxE9vDDD6tPnz4ZQla6cIuU0xITEz2jbWd3dUJepd1+ltmAMTnZuXOnBg4cqMOHD6tmzZr6z3/+k23ISn/12ZaYmJjtrWgXn9W9+uqrc92mjh07SrrQz9uOHTtyvVxRmD17ttauXauAgAC9+uqr2d4CaA2LBqdAwfTq1UvShSsnvvzyS6WmpnoOcG+//fY8rYvMzj8y2xlkdu6Q2QYzLK/T3u/MPnfSPjcrVqzoKXhePGBZZvMh91asWKF33nlHkvSvf/1LtWvXzve6yOv8I6+dQV7nDnltMMsGgLwsi9nTp0/X1q1bVbFiRf3zn//UiBEjVK1aNSUkJOill17K07piYmIkXRjBODQ0VCVKlMjyERwc7OkHafHixYU6Ym1ubd68Octpabe2XHnllYV2pjEzabconT59Ost5fvnll0xfT/tSFBcXl+WyaSP3pnfNNdfkOI904QtASkpKltMzc3G4X3fddVnOkza4hpO+++47T/uzakuaI0eO6JFHHlHv3r31ySefZDnfuXPn9PPPP0uSGjVqlKf2HDhwQPfdd5+OHDmihg0b6r333lPNmjVzXK5169aeM6NffvlllvOljb7drFmzPPVBN2DAAM9tfy+++GK2X/zSy+vvR0GsX79er776qiTpqaeeyvNAd5cqt/zz/YBdrr76ajVo0EDShUEfv/nmGx0+fFilS5fO8y2eZHbekdnOIrNzh8w2l2l5HRERoWLFimV6C/u2bdtUsWJFhYWFqXLlyipfvnyW8wUEBORrAMrLVVxcnJ599llJ0v3336+uXbsWaH3kdd6R184ir3OHvDZXQfLaxGNs81rksJ9//tkzMurYsWNVtmxZBQUFafz48ZIunAVevXp1rtb13Xff6Y8//pCU+6vD0ubbt2+f5wPClz755JNMz1wePXpUX3/9tSTleDYvJxf3k5VZX3NpZ2937tyZ6fSff/7Za1Tki6WNhL1r1y7PgCAXc7vdni8/6VWpUkXNmzeXJC1atMhrtN2LLV++XK1bt9YTTzyh1NTUTOdJ7+I+xDK7wiM1NVXjx4/3fJhfPKCClPN7lhdp70tAQECOo0SHhoZq06ZN+vnnnzVr1qwsby1bsGCB566Fv/3tb7lui8vl0qhRo5SQkKBatWrpzTffzPVZ59DQUHXo0EGSNG/evEzb9vvvv2vNmjWSsh4YJitVqlTRo48+Kkn69ttv9eyzz+bq571y5UrNmzdPUsH61suNhIQEjRw5Ui6XSz169FDfvn0d3Z5J3H5++X7APmlXZ3/++eeeq666deuWp1vAyezMkdlkdhoyu2Au18w2La/LlCmjNm3a6JNPPvH6+zx48KC+/fZb3XzzzZ7XunbtqvXr13tdVZuUlKRVq1YVajcCtjt9+rSGDx+uM2fOqFWrVnr88ccLtD7yOnPkNXmdhrwuGPLanMwuiMuqmH3u3DmNHj3aM7Jyly5dPNPatGmjO+64Q5L03HPPZfphmV7aoBSVKlXKdV/bzZo185wxyyoQnFS6dGk9/PDDXn0gHTp0SI8++qjOnTsnPz+/HEfmzUmFChU8H0Cff/65zp07p5SUFE+4tGzZUtKFQJk0aZJXX3Xff/+9Hn74Ya8zvBe7/fbbPf1y/fOf//TcdiRJJ06c0OjRo3Xw4MEsB6h4/PHH5e/vr/379+uBBx7Q7t27PdPOnz+v//znPxo7dqwSExMVHBysYsWK5WqfmzZt6jnDOXPmTK/bybZt2+bZVtoXre3bt+vEiROeeXJ6z/Ii7Yx6jRo1cmy/v7+/hg0bJkn67bff9PDDDys+Pt4z/cyZM3r99dc1efJkSVKHDh3Utm1br3UsW7ZMDRs2VMOGDTP0jfXhhx/q+++/l7+/v6ZMmaLQ0NA87cuoUaMUGBio7du3a+TIkV6jyv/yyy8aOnSoUlJS1KhRI/Xs2TNP65YuXDly1113SbpwJUfPnj316aefZuiz7NSpU1qxYoX69eunxx57TGfOnFHFihU1YcKEPG8zt86fP68RI0bo+PHjatCggeeEG3A5uu222xQYGKgzZ87o008/lSRPZucWmZ05MpvMTkNm5x+Z7Yz4+Hht3rxZmzdv1qFDhyRJO3bs8Lx2/vx5z+90WsFQuvDZcerUKT388MNav369Pv/8cw0ZMkTlypXTgw8+6Jlv6NChCgoK0pAhQ/TFF1/om2++0dChQ3XmzBmNHDnS5/t7KXK73XryySe1a9cuVa5cWVOmTMn1Z3FWyOvMkdfkdRryOv/Ia3vY27t5JqZOnarff/9dZcuW9dwGdbEnn3xS69at09GjRzV27FhFR0dnua7Dhw97zlbddtttuRq1N83f/vY3TZs2TevWrdPBgwdVqVKlvO9MPo0cOVITJ05Up06dVLVqVRUvXlzx8fGeWzoeffRRNWzYsEDbCAwM1PXXX69vv/1WX375pZo2bSo/Pz9NmzZNnTt3Vrdu3fTWW2/pt99+04IFC7R06VJVqVJFJ06c0OHDh9WhQwf97W9/02OPPZZh3RUrVtTYsWM1evRo7dixQ926dfOMZBwfHy8/Pz/NmDFDjz/+eKYh1bx5c7388st69tlntXHjRkVGRqpq1aoKCAjQgQMHPGds27Rpo3/+85+53ucKFSrovvvu0xtvvKFffvlF7du3V9WqVfXnn3/q8OHDqlSpkt58803FxcVp6dKlSkpKUufOnVWnTh3FxMTk+J7lRVrI5/bs7N///nfFx8fr9ddf15dffqnOnTsrPDxcAQEB2rdvn+d9bN++vSZNmpRheZfL5Tnbmv42orlz50q6MOr0k08+mWNbGjVq5NXVT82aNTVt2jQ98sgj+uyzz/T5558rPDxc586dU0JCgiTpqquu0syZM/P1xdnPz0/jx49Xo0aNNHXqVG3btk0jRoxQQECAKlSooFKlSuno0aNeX4pKliypf/zjH3rwwQfz/MUhLz755BPPbWcnTpzwfCHISlhYmOeuExvYNkAFCiYkJESdO3f29JVdrVo1z1VAuUFmZ43MJrPTkNn5dzlntpN5PX36dC1dutTrtREjRnj+v2bNGs/v9MVdSzRo0EBz587V5MmTNXToUBUrVkytW7fWlClTvPpErVSpkhYtWqSJEydq5MiRcrvdatq0qebPn686deo4tl82+d///ue5qzklJUUDBw7McZnly5dnOY28zhp5TV6nIa/zj7y2x2VTzN64caPnj/7JJ5/MdECPkJAQPfPMM3rssce0atUqLV++XD169Mh0fYsXL/ac7czrAFQ9evRQdHS0UlNT9Z///EfDhw/P0/IFUbFiRS1dulSvv/66Pv/8cyUkJKhUqVKqX7++7rnnnjx/qGflpZde0vPPP6+NGzcqNTVVlStX9nx5DAwM1Pz58zVjxgytXbtWCQkJOnDggKpXr64HH3xQffr00WeffZblum+//XaFh4drzpw5+vHHH5WQkKDy5curc+fOuv/++3XNNdeoZMmSWQ7m2bNnTzVv3lzz5s3Tt99+q4SEBCUnJyskJETXX3+9evTooZtvvjnPt7eMGjVKVatW1eLFi/X7779r3759qlKlih544AHdc889qlixomrXrq1Nmzbpo48+0pkzZ7xuX8zuPcuLtP2+eGTpnIwcOVKdO3fWokWLtHHjRh06dEipqam64oordM011+j2229Xp06d8tyWtEFGzp8/7+kvLjuZ9cfVoUMHrVy5Um+++aa++eYbJSQkKCAgQE2aNFHXrl3Vr1+/LK8SyK2///3vuvXWWz398f722286duyYjhw5onLlyqlevXqqV6+ebrzxRt10000qX758gbaXGxf3GZaQkOD5YpGVvA5eazq3zLuVCUWrV69eXgM/5uUzmszOHplNZktkdkFczpntZF5HRUUpKioq23nCw8MzvVOnWbNmWrBgQY7bqF27tmbNmpXvNl7uLv7dP3LkiNeVs/lBXmePvCavJfK6IMhre/i589IjOy5JGzZs0IABAyRJ8+fPV6tWrYq4RQCQvf3bfs73sldGZH4LJS5tW7duVY8ePeTv7681a9boyiuvLOomOYLMBnApIa9xuSKvAVxKCpLXknmZfdlcmQ0AuHSYOMgEilba3VU33XSTtYVsALjUkNcAAJjPtrymmA0AMI5tt0GhYDZv3qwVK1ZIkh544IEibg0AIA15DQCA+WzLa4rZAADj2DZABfJv48aNeuyxx5SSkqKuXbvmaeBHAICzyGsAAMxnW15TzAYAAMa59dZbdfr0ac/ALLVr19b48eOLuFUAAAAAgKJEMRsAYBzbboNC3u3fv19JSUmqWLGiIiMj9cgjj6hcuXJF3SwAwEXIawAAzGdbXvu53W53UTcCAICL7d6xLd/L1qgTUYgtAQAAWSGvAQAwX0HyWjIvs7kyGwBgHNvOHAMAYCPyGgAA89mW1xSzAQDGsW2ACgAAbEReAwBgPtvyOtfF7BtuW+f13M/Pu6pfPDDA+3mJQK/nQcGlPP8vXa6017QyIaW8noeEej8PDS3h9fyK8t4/hIrlXN7TS5/1Xr5Eotfz8qmHPf8PPn3Aa1rgiYNez3XUe3rKocNez88eOuL1POngce/nR055PT99+E+v52eO/tXWs0fOe28rMdXruSs5+x5hAsoW83peopL3zyQoxPt9LF3R++dQ6orgv6ZVKu81rWRYqNfzwLCK3huvUNnraUr5Sl7P/yxbxet5YmAFr+fHzod4PT965q/fgSOJ3r+mR094vw/Hjid7PT9x3Pvnf/KY93v+58kkr+dnTns/P5fkvXzyub9+Lq5U759Jev7FvH8GAen+DgKDvH8GF/9dSFKpMkFez9P/bZQN+Wt6+fLe6w4N8f67CC3j/T6Flj7n9bx8Se/9LlfspNfz4HNHvdv6p/fvesCpY17P/S567jp5wmua6/Rpr+fJid7PU8+eS/fc+28hp/fdL90Hc7HAv35niqV7z4sHe//eFysT7PXcv0xZ75WX8/5bSC1zhdfzc6W9n/8Z5P38pP5a/sR5720dO1PS6/nxU96/P8dOev8Mj59M8Xp+4pj37+qpE94/09OJ3s+TLnp+LumM17SUc+k+f5K9t5XeNytuynZ6Qdl25tjX0md28QDvz9EyV4R4PQ+rHub1vEatv6bXq+H9e1mnovdnRfXUHV7Py+771et5arpb2k79scf7ebz3Z825U96/137+f/0uBJX3/vstW807i0rXruH1XLXqez09VqWR1/OdyTW9nscd8F7/jp3en017//irrUf2e38m/nnCO+/Tf24FlvT+LCpf2TsHK9fwfl6rtvdnUf3q3uurWy7B8/8rj/7sNa349p+8nif+4v0zOLxlr9fzI9u9P89Pb/f+GaRXuma672X1/vqcq3h1uNe0co28b0l01b3G6/nBSt7Pd5yq6vU8bp931v2x0zvT9+/y/v05fuCv5+nzPb30GRwS5v15X6ma9+d5terevx9XXen9OVW9vPf3zSrF/voZhZzY5TUt4HiC13Od9P7+qPPen8ny996WX+kyXs9dId6/P2fKe/8cDgdV93q+L+mv+Xcd9s6iXfHe36vid3m37ch+79+XU0dPeD1PTpcn6Y8ZSpX1zsLylf96n6tU9/6+WaOm93te60rv7/w1y3m35cpzf3g9L33E+7lfgvfnT3K67/Ve309c3tsqXtr7O1rAFd5t9avs/bt7rnItr+eHy9b2er77T+/vzn8c9P672rn7r8+f+F3e+3k0wfv5n8e9P5fTZ7iTmU1eF0z6vC6I9MchxYp7P09/fF6ylPfffsng9Mch3n9/5cp7f2ZWqOg9f1iFv7ZXpbx3ZlUK9s7ISsW8j7nLn9zt9TzwwE6v5yn7vP92k3bv83p+cvchr+cn9p7w/P/0/nTH3/vSHWekO8YuVsr7uCKoqvf7VvZK78+wkHSfW2VreB8HB1X/67PBP9z7e8q5it7Pj5X1fn7wvPf3swOnvH8mCce823rosPff/rFj3t/3Txz9673IeEzsPe/5dMdn6Y8VUlPS1SpyOF7zpZz+Foql+1588Xe09N8NSpfzfp7++Dz0Cu+/gyuu8K7BhJX3/oysVM77fa0Y5P3d4Qq39+9ymVP7/2rnsf1e03TUe96UI97fTc+nz4Y/vX/Gqel+pukVS/eZEVDmr30PLO89jk2xCt7fQ3SFd8adK5+uHlTGOzOPur2/0x8+4/0959BJ77YcOvbX3+3RY97fW44d8f7dTn+MnHTK+31I/30x/e9+arpMdfJ3n7zOPa7MBgAYx+1nV9gCAGAj8hoAAPPZltd2XWcOAAAAAAAAALCSn9vtzr7vCgAAfGzH7ztznikLdWpfVYgtAQAAWSGvAQAwX0HyWjIvs+lmBABgHDc3DgEAYDzyGgAA89mW1xSzAQDGsW2ACgAAbEReAwBgPtvymmI2AMA4toUtAAA2Iq8BADCfbXlNMRsAYBzbwhYAABuR1wAAmM+2vLar0xQAAAAAAAAAgJW4MhsAYBzbzhwDAGAj8hoAAPPZltcUswEAxnG77QpbAABsRF4DAGA+X+T12rVrNWfOHG3fvl3JycmqX7++Bg4cqMjIyELfFt2MAACM45Zfvh+5sXbtWvXp00fXXXedmjZtqn/84x9atWqVw3sFAIBdnM5rAABQcAXJ69xk9vLly/XQQw+patWqmjp1qqZMmaLixYtr+PDhWrlyZaHvD8VsAIBxbApaAABsRTEbAADzOV3MfvXVV9WiRQtNnDhRN9xwgzp06KBZs2YpODhYMTExhb4/dDMCADCOkwe5Fwdtmuuuu0433XSTYmJi1L17d8e2DQCATShKAwBgPifz+ty5c7r//vtVt25dr9eDg4NVq1Yt7d+/v9C3STEbAGAcp/r0KoqgBQDAVvSZDQCA+ZzM6xIlSqhv374ZXk9OTlZCQoIaNGhQ6NukmA0AuGwURdACAAAAAHA5SE1N1Z49ezR58mSdO3dOI0aMKPRtUMwGABjH5aPbln0RtAAA2MpXeQ0AAPLPV3m9ZMkSPfXUU5KkBg0a6O2331ajRo0KfTsMAAkAMI4vBpRasmSJGjZsqG7dumnv3r16++231bhxYwf3CgAAuzAAJAAA5nN6AMg0HTt21JIlSzR79mzVqlVLd999t5YsWVLo++Pndrvdhb5WAAAK4H9xR/O97LX1rsjVfCdOnNC+fft0+PBhffjhh/rss880btw43XHHHfneNgAAlxNf5DUAACiYguS1lP/MHjVqlFatWqWvvvpK5cqVK1AbLkY3IwAA4/jiiq2QkBCFhIRIktq3b69Ro0bp+eefV6dOnQo1aAEAsJUv8nrr1q2aPHmyNm7cqJSUFDVu3FgjRoxQy5YtM50/Pj5enTp1ynad27Ztk3ThCrJ9+/ZlOs+LL76o3r17F6zxAAAYwMm8PnTokNatW6dmzZqpTp06XtOuvvpqrVixQrt27VKTJk0KbZsUswEAxnFqtOWiCFoAAGzlVF6n2bNnj/r27atatWpp0qRJKlmypObNm6eBAwdq4cKFmeZ1WFiY3n///UzX99xzzykgIMDrtQ4dOujhhx/OMG/VqlULZycAAChiTub1+fPn9cwzz+hvf/ubJk6c6DVt06ZNkqQqVaoU6jYpZgMAjOPUmeOiCFoAAGzl9JXZM2fOVGpqqmbPnq3Q0FBJUvPmzRUZGakpU6Zo7ty5GZYJDAzMdAyMtWv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GjdK9997r2HYBALCNiVdrAQAAb7blNcVsAIBxnBwxuXjx4ho4cKAGDhzo2DYAALgcOJnXAACgcNiW1xSzAQDGcVt2GxQAADYirwEAMJ9teU0xGwBgHstugwIAwErkNQAA5rMsrylmAwCMY9uZYwAAbEReAwBgPtvymmI2AMA4bldKUTcBAADkgLwGAMB8tuU1xWwAgHFsO3MMAICNyGsAAMxnW15TzAYAmMeyPr0AALASeQ0AgPksy2uK2QAA49h25hgAABuR1wAAmM+2vKaYDQAwjm19egEAYCPyGgAA89mW1xSzAQDmcbuLugUAACAn5DUAAOazLK8pZgMAjONOtevMMQAANiKvAQAwn215TTEbAGAc2/r0AgDARuQ1AADmsy2vKWYDAIzjtmy0ZQAAbEReAwBgPtvymmI2AMA8lp05BgDASuQ1AADmsyyvKWYDAIxj22jLAADYiLwGAMB8tuU1xWwAgHlcdo22DACAlchrAADMZ1leU8wGABjHtjPHAADYiLwGAMB8tuU1xWwAgHFsG20ZAAAbkdcAAJjPtrz2L+oGAACQQWpq/h8AAMA3fJDXW7duVbdu3RQREaHff//dwZ0BAMBSBclrAzObYjYAwDhutyvfDwAA4BtO5/XChQvVu3dvnT592uE9AQDAXgXJaxMzm2I2AMA8rtT8PwAAgG84mNexsbGaMGGCxo4dq7vuussHOwMAgKUKktcGZjbFbACAcdypqfl+AAAA33Ayr0NCQhQTE6M777zTB3sCAIC9CpLXJmY2A0ACAMxDdyEAAJjPwbyuV6+eY+sGAOCy4vDxta8zm2I2AMA4bhfFbAAATEdeAwBgPtvymmI2AMA8dBcCAID5yGsAAMxnWV5TzAYAGCe3IyYDAICiQ14DAGA+2/KaYjYAwDy5GDEZAAAUMfIaAADzWZbXFLMBAMZxp9p15hgAABuR1wAAmM+2vKaYDQAwj2VnjgEAsBJ5DQCA+SzLa4rZAADjuN3uom4CAADIgZN5HR8fr+PHj0uSDh06JEnasWOHkpKSJEkREREKDAx0bPsAANjC6eNrX2c2xWwAgHksG20ZAAArOZjX06dP19KlS71eGzFihOf/a9asUXh4uGPbBwDAGg4fX/s6sylmAwCM43bZ1acXAAA2cjKvo6KiFBUV5dj6AQC4XDh9fO3rzKaYDQAwD92MAABgPvIaAADzWZbXFLMBAMZx080IAADGI68BADCfbXlNMRsAYB66GQEAwHzkNQAA5rMsrylmAwDM47LrNigAAKxEXgMAYD7L8ppiNgDAOAwACQCA+chrAADMZ1teU8wGABjHnWpX2AIAYCPyGgAA89mW1xSzAQDmsWy0ZQAArEReAwBgPsvymmI2AMA4tt0GBQCAjchrAADMZ1teU8wGABjHnWrXmWMAAGxEXgMAYD7b8ppiNgDAPJadOQYAwErkNQAA5rMsrylmAwCM47asTy8AAGxEXgMAYD7b8ppiNgDAOLbdBgUAgI3IawAAzGdbXlPMBgCYx7LboAAAsBJ5DQCA+SzLa4rZAADjuO3KWgAArEReAwBgPtvymmI2AMA4bsvOHAMAYCPyGgAA89mW1xSzAQDGcbvs6tMLAAAbkdcAAJjPtrymmA0AMI9dJ44BALATeQ0AgPksy2uK2QAA49h2GxQAADYirwEAMJ9teU0xGwBgHNtugwIAwEbkNQAA5rMtrylmAwCM404t6hYAAICckNcAAJjPtrymmA0AMI7bbdeZYwAAbEReAwBgPtvymmI2AMA4vrgNav369YqOjtaWLVtUokQJ1alTRw8++KBuuukmx7cNAIANbLttGQAAG9mW1/5F3QAAANJzp+b/kRtr167Vfffdp+DgYEVHR2vixIkqUaKEBg8erI8//tjZnQMAwBJO5zUAACi4guS1iZnNldkAAOM4fRvUlClTVLNmTc2cOVMBAQGSpJYtW6p9+/ZasGCBbr75Zke3DwCADWy7bRkAABvZltcUswEAxnG7HFy3262HHnpIoaGhnkK2JAUFBalGjRo6cOCAcxsHAMAiTuY1AAAoHLblNcVsAIBxnOzTy8/PT927d8/wenJysnbv3q0GDRo4tm0AAGxiWx+cAADYyLa8ppgNADBOUdwFFR0drRMnTqhPnz6+3zgAAJcgy+5aBgDASrblNcVsAIBx3Km+TduYmBi9/vrruuOOOxQZGenTbQMAcKnydV4DAIC8sy2vKWYDAIzjyz69pk+frujoaN1222164YUXfLdhAAAucbb1wQkAgI1sy2uK2QAA47h81KfX2LFjFRMTo0GDBmnUqFHy8/PzyXYBALCBr/IaAADkn215TTEbAGAeH2TtlClT9N577+npp5/WgAEDnN8gAAC2sevYGAAAO1mW1xSzAQDGcaU6u/7Vq1dr1qxZGjVqFIVsAADyyem8BgAABWdbXlPMBgAYx+3gbVApKSmKiopSeHi4WrVqpc2bN2eYJyIiQoGBgY61AQAAGziZ1wAAoHDYltcUswEAxnE7mLUHDhzQ3r17JUm9e/fOdJ41a9YoPDzcuUYAAGABJ/MaAAAUDtvymmI2AMA4LgdHWw4PD9e2bduc2wAAAJcJJ/MaAAAUDtvymmI2AMA4bsvCFgAAG5HXAACYz7a8ppgNADCObbdBAQBgI/IaAADz2ZbXFLMBAMax7TYoAABsRF4DAGA+2/KaYjYAwDi23QYFAICNyGsAAMxnW15TzAYAGMe226AAALAReQ0AgPlsy2uK2QAA49h2GxQAADYirwEAMJ9teU0xGwBgHNtugwIAwEbkNQAA5rMtrylmAwCMY9uZYwAAbEReAwBgPtvymmI2AMA4tvXpBQCAjchrAADMZ1teU8wGABjHtjPHAADYiLwGAMB8tuU1xWwAgHFsC1sAAGxEXgMAYD7b8ppiNgDAOLbdBgUAgI3IawAAzGdbXlPMBgAYx7YzxwAA2Ii8BgDAfLblNcVsAIBxbAtbAABsRF4DAGA+2/KaYjYAwDi23QYFAICNyGsAAMxnW15TzAYAGMdlWdgCAGAj8hoAAPPZltcUswEAxrHtNigAAGxEXgMAYD7b8tq/qBsAAEB6Llf+HwAAwDd8kddbt27V4MGD1bx5czVp0kT9+vVTbGysczsFAIBlCpLXuc1sX+Y1xWwAgHHc7vw/AACAbzid13v27FHfvn11/PhxTZo0SbNmzVJwcLAGDhyon376ydmdAwDAEgXJ69xktq/zmm5GAADGsa1PLwAAbOR0Xs+cOVOpqamaPXu2QkNDJUnNmzdXZGSkpkyZorlz5zrbAAAALGBbXnNlNgDAOKmu/D8AAIBvOJnXbrdbq1evVps2bTwHxpIUGBioyMhIbdiwQYmJiQ7uHQAAdihIXueU2UWR1xSzAQDGcRfgAQAAfMPJvN6/f79OnTqlunXrZphWt25duVwuxcXFFcZuAABgtYLkdU6ZXRR5TTcjAADjMJAjAADmczKvjx49KkkqX758hmlpr6XNAwAAsmZbXlPMBgAYJ5VLrAEAMJ6TeX3+/HlJF25TTi8gIECSdPbsWecaAACAJWzLa4rZAADj5GbEZAAAULSczOsSJUpIkpKTkzNMSztwDgoKcq4BAABYwra8ppgNADCO06MtAwCAgnMyrytWrChJOnbsWIZpR44c8ZoHAABkzba8ppgNADAO3YwAAGA+J/O6cuXKKl++vLZt25Zh2rZt2xQQEKB69eo51wAAACxhW177F+raAAAoBG53/h8AAMA3nM7rrl27av369Tp8+LDntaSkJK1atUrt2rVT6dKlHdozAADsUZC8zk1m+zqvKWYDAIzjcrvz/QAAAL7hdF4PHTpUQUFBGjJkiL744gt98803Gjp0qM6cOaORI0c6vHcAANihIHmdm8z2dV5TzAYAGCfVnf8HAADwDafzulKlSlq0aJEqVqyokSNHatiwYfLz89P8+fNVp04dZ3cOAABLFCSvc5PZvs5r+swGABiHojQAAObzRV7Xrl1bs2bNcn5DAABYyra8ppgNADAOtWwAAMxHXgMAYD7b8ppiNgDAOPR9DQCA+chrAADMZ1teU8wGABiHbkYAADAfeQ0AgPlsy2uK2QAA47ituxEKAAD7kNcAAJjPtrymmA0AMI5tZ44BALAReQ0AgPlsy2uK2QAA46Ra1qcXAAA2Iq8BADCfbXntX9QNgG907NhRERERGj9+fFE3BQBy5C7AP+BSR2YDuFSQ17ickdcALhUFyWsTM5srsw0XERGR7fTAwECFhISoQYMG6ty5s2677TYFBQX5qHWXr3feeUcpKSm6995787Rcx44dtW/fvlzP37JlSy1YsCBfy8+YMUOdO3fOU/skafPmzVq0aJF++OEHHTx4UJJUsWJFNWvWTH//+9/VsmXLLJc9f/683n//fX388ceKi4vTn3/+qZCQEF1zzTX6xz/+oXbt2uW5PZnZsGGD1q5dq++//16HDh3SiRMn5O/vr7Jly6patWpq3ry5brnlFjVo0CDbdQwYMEBS7t+r1atX6+GHH5YkzZ8/X61atSqU/UFGtt0GhcsDmW0mMjtzZDYKA3mNSxF5bSbyOnPkNQqDbXlNMfsSUb58eVWqVCnD60lJSdq/f7/WrVundevW6Y033tDMmTNVt27dImjl5eH8+fOKiopSWFhYnoO2du3aKlOmTI7z7du3T6dOnVJAQECm0ytUqKAKFSpku47g4OA8tU2SXn31Vb322mtyu93y8/NTlSpVlJKSovj4eMXHx2vFihUaOHCgnnzyyQzLnjx5Ug888IB++uknSVJISIiqV6+uhIQErVmzRmvWrFGfPn303HPPyc/PL89tk6S4uDg999xz2rRpk+e1K664QjVq1FBycrISEhJ0+PBh/e9//9Mbb7yhrl276oUXXlC5cuXytT0UHZdlt0Hh8kJmm4PMJrPhLPIalzLy2hzkNXkNZ9mW1xSzLxG33Xabnn766UynnT17VitWrFBUVJT27Nmj+++/Xx9//LFKly7t41ZeHrZs2aLk5OR8LfvGG2/kOM/BgwfVvXt3SdL999+f6Tz/+Mc/NHz48Hy1ISsxMTGaOXOmJKl79+4aPXq058vd3r17NXbsWH3zzTd666231LhxY08b0zz99NP66aefVK5cOUVFRalDhw7y8/PT+fPntWjRIkVFRWnRokWqW7eu+vTpk+f2ffPNNxo2bJiSkpJUvnx5Pfjgg+revbvXF9CUlBR9/fXXWrBggb7++mt9+umn2rt3r2JiYlSiRIkCvDvwtVQDb2UCcovMNgeZTWbDWeQ1LmXktTnIa/IazrItr+kz2wIlS5ZU79699corr0i68EH9wQcfFHGr7LV582ZH1z9u3DidPn1at956q2644QZHt5UmJSVF06dPlyRde+21mjRpkleAVatWTa+++qoqVqwoSXr33Xe9lt+4caM+++wzSdKLL76ojh07es4MBwYG6t5771X//v0lSVOnTtW5c+fy1L49e/bo0UcfVVJSkiIiIrRixQrdd999Ga6kKF68uNq3b685c+Zo6NChki58MZo6dWqetoei53a78/0ATEZm+xaZTWbDWeQ1bEVe+xZ5TV7DWQXJaxMz+7K5Mjs+Pl6dOnWSJC1cuFC1atXSzJkztXbtWh0+fFjly5dXmzZt9Mgjj6hKlSqSpA8++EAxMTHauXOnkpOTVatWLfXr10+9evXyrPfEiRO69dZbdfjwYXXq1Mlz1i29UaNGacWKFSpbtqxWrFihypUrF/o+tm/fXldccYWOHj2qH374wdNXUWbWrVunuXPn6rffftPp06dVsWJFtWvXTkOHDs30VivpwgfWxf08nT9/XmXLllWDBg10++2367bbbsv01ha3262PP/5YH374oX799VcdP35cgYGBqlixoho1aqRevXqpTZs2mW4zJSVFH374oT766CP99ttvOnXqlIKDg3XVVVepa9eu6tOnjwIDA/P1fp0+fVoLFy7U559/rp07d+r06dMKDAxU9erVddNNN+nee+9VaGioZ/6L+3+SLtymlNbfWs+ePRUVFZWvdlzs448/1po1a1S2bFk99dRTBV5fbu3Zs0eSVKxYMd15550qVqxYhnnKlCmjtm3baunSpfrtt9+8pi1ZskSSVL16dXXp0iXTbQwcOFDz58/XyZMntWbNmgxnnbMzceJEJSYmqlSpUpo5c6Yn8LPi5+enRx55RCdOnFC5cuXUoUOHXG8rP5YsWZLrn1f6PtqQOdvOHCNvnMrskSNH6r///a9CQkL01VdfZZsft956q7Zv3662bdvqzTffLPR9JLPzhsz+C5ldMGR24SKvL29O5bUk9e/fX7Gxsblqx7/+9S/dcccdhbtz/4+8zhvy+i/kdcGQ14XLtry+bIrZFzt16pT69eun3bt3q1q1agoKCtLBgwe1dOlSff/991qxYoUmTJigmJgYhYWFKSwsTHv27NGWLVs0ZswYnTt3znMLR0hIiF588UU9+OCDWrNmjVavXp2hk/tvv/1WK1askCQ988wzjhSy04SEhOjo0aP6888/s5znzTff1L///W+FhISoQoUKSk1N1f79+xUTE6Mvv/xSy5Yty9D/0bvvvqvx48fL5XKpWLFiqly5sooXL679+/frm2++0TfffKO1a9dq8uTJ8vf3vuB/5MiRWrlypSSpVKlSqlq1qlJTU7Vv3z7t2rVLH330kfr3769nnnnGa7kTJ05o6NCh2rhxo9eyBw4c0P/+9z/973//U0xMjObNm5fll4Os7NmzRwMGDFBCQoKkC/2lVa9eXUeOHNHWrVu1detWLVmyRO+8845q1qzp2X79+vWVkJCgkydPKiAgQLVr15Ykz5ezgkhMTNRLL70kSXr88cdz7K+rMNWqVUtff/21XC5Xtmfdihe/8JFx/vx5r9c3bNggSWrdunWWfXVVqVJFtWrV0h9//KHvvvsu10EbHx+v1atXS5LuvvtuhYeH52o5SRo7dmyu5y2IcuXKqX79+llOd7lciouLk/TXe4js2danF/KvMDO7V69e+u9//6sTJ05o7dq16tatW6bb3L59u7Zv3y5Jjh0cS2R2bpHZ3sjsgiGzCxd5jTSFmdfShQJeYmJilts7fvy4ZyA9p/9WyevcIa+9kdcFQ14XLtvy+rL8iU+dOlUVKlTQ3LlzFRYWJklavHixnnnmGcXHx2vkyJH64YcfNGfOHN14442SpGPHjumee+5RXFyc3njjDa+gbd++vXr16qUPPvhAL7zwglq3bu3pS+vcuXN6/vnnJUmRkZHq0aOHY/uV1jm/lPUH/+bNm/XRRx/p1VdfVWRkpPz9/eVyufTGG29o8uTJ2r9/vxYtWqSHHnrIs8yuXbv04osvyuVy6frrr9fEiRM979uZM2c0ceJELVy4UB9//LFuuukm9ezZ07Ps6tWrtXLlSvn5+enZZ59V7969PWd5T58+rbffflvTp0/XggUL1LlzZ11//fWeZUeNGqWNGzeqXLlyGj9+vKe9brdba9as0fPPP6+dO3dq6NChWrx4cYaAz87TTz+thIQElS5dWtOnT/c6a7127Vo98cQTOnz4sJ599lnPGb7GjRtr+fLlGj16tJYuXaqwsDAtX74819vMyYwZM3T48GE1aNBAf//733Oc/4cfftDKlSu1fft2nTlzRqGhoWrWrJnuvPPOHM+qZiWn9/CXX36RJNWpU8fz2unTpxUfH5/h9cykBW36s87ZWb9+vVwulyTpb3/7W66X86VOnTp5rkrJzJQpUxQXF6eAgAA99thjPmzZpctV1A2AMQozs1u3bq2qVatq3759WrJkSZbF7P/+97+SLlwtk58R63ODzCazyeyiQWYXLvIaaQr7GDutAJmZ06dPq3fv3pKkJk2aZJnnhYG8Jq/J66JBXhcu2/L6suwze//+/Zo2bZonLCSpd+/enrODn3/+ucaMGeMJWUkKDQ3VAw884Fn+wIEDXuscM2aM54zmxX0HzZo1S7t27dIVV1yhcePGObdTunBmNykpSZKyvA3l559/1vjx49WtWzfPh6q/v78efPBB1ahRQ5K8RrGVLgRPSkqKJOn555/3et+CgoL07LPPqmrVqpLkOTuc5rvvvpMk1a1bV3379vW6XSk4OFjDhw9Xr1691LFjR68z799++62++uorSdLkyZO92uvn56fOnTvr1VdflXThwz/trGJuHDlyRP/73/8kSf369ctw+1XHjh11zz33SJJiY2N15MiRXK87v+Lj47Vw4UJJ0hNPPJFj4L3zzjvq27evFi5cqNjYWG3evFnr1q3T1KlT1blzZ3344YeF3sYvvvjCE5AXf9E8dOiQ50xzTncdpE1P//eTnbRwDwoKuiRHEF+zZo1mz54tSXr22Wd1zTXXFHGLLg0uufP9gF0KM7P9/f09B4Nff/21Dh06lOk2P/74Y0kXBupxamAbMjt3yOz8IbPzh8zOO/IaaZw4xs7KmDFj9Mcffyg0NFTTpk3Ld5cYuUFe5w55nT/kdf6Q13lXkLw2MbMvyyuzu3TpopCQkAyv161bV7t27VJQUJBuvfXWDNPr1avn+f+hQ4e8PlSCg4P18ssv695779XChQvVo0cPBQUFeUbWHT9+vFffUIXl7Nmz2rVrl5YvX6558+ZJkm666SbddNNNmc5fpUoVde3aNdNptWrV0u7du3X48GGv1wcOHKh+/frp2LFjmX6Q+vn5qVGjRtq3b5/27t3rNS3tA/jkyZM6d+5cpkWBl19+OcNraUFRr149tW3bNtP2Nm/eXA0bNtSWLVu0atUqRUZGZjpfehUqVNAvv/yi48ePZ1mkaNy4sef/8fHxjt+O9Nprryk5OVktWrTI1YAUp0+f1oABA9SrVy/VrFlTSUlJ+vLLLzVlyhQdOHBATz75pCpUqJBlP2l5tWvXLk9/VY0bN/a67f7i2+1KliyZ7XrSpmd3i156R48elSRdccUVmfYzVhhefvllRUdH5zjfqVOn8rTe3bt368knn5Tb7dYdd9yhu+66K79NvOykWnYbFPKvsDP7jjvu0IwZM5Samqply5Zp8ODBXstt2bJFu3btkiSvq6AKA5lNZpPZBUdmm4W8RhonjrEzM2fOHH366acqVqyYpkyZ4kgXnuQ1eU1eFxx5bRbb8vqyLGanDSiQXlrXIFdddVWmZ3fTpksXAi6966+/Xv369dOCBQv03HPPqXTp0kpOTlbPnj0LfJvy/PnzNX/+/Bznu+222zR+/Pgspzdq1CjL/pbKlCkj6UIophcYGJjtF4VSpUpJytjPU+vWrfXOO+/o4MGD+sc//qGHHnpI7dq1y/EDOe3M9cVfbjJzzTXXaMuWLdqyZUu286Xn5+eX7cmFtP2RlOdRgfPq4MGDnlup0q5MyMrAgQOVmJio6667Ttddd53n9ZIlS+r2229Xq1at1LNnTx0/flz/+te/PH21F8SWLVs0ePBgHTt2TFdeeaVmzJjhdVb74vcnICAg23Wl/V1l9veTlbQrIYKCgrKd77nnntNPP/2U5fQRI0ZkeZvSvn37ct2e3Dpz5oyGDRumU6dO6eqrr/Z0N4TccRt49hdFo7Azu2rVqmrdurXWr1+vpUuXZihmp3UxUrNmTTVr1ixfbSazM0dmX0Bmk9k2Ia+Rxqlj7Itt2LBBkydPlnShz+iLu8/ID/I6c+T1BeQ1eW0T2/L6sixmBwcHZ/p6WgBdHKiZTZeUZQf+jz/+uL766iv9+uuvki6cpX366acL0lxJFwZPyGwAhoCAAIWEhOjqq6/WzTffnG0H+VLW+y4p2zNyZ86c0ZIlS7R27Vrt2bMnxwEw0nTu3FkDBgzQ/PnztWXLFg0fPlyBgYFq0qSJrr/+enXu3DnTNqfddvTRRx/po48+ynE7ebmlJs13332nZcuW6ddff9WRI0d04sQJT79RvhQTE6Pk5GSFh4dnebY/Tb9+/bKdXqVKFd13332aPHmy4uLitHXr1hx/J7Kzbt06Pfroo0pKSlLVqlX15ptvZvg9vPhLU3JycrbrSwvlnL5oXSztC2BOZ2z37NmjrVu3Zjk9sy+QaWbMmJGrE06rV6/Www8/nON80oXgj4uLU0hIiKZNm+ZYVwW2su3MMfLPiczu1auX1q9frz/++EM//vijmjZt6pmW1sVIQa7KJrOzR2ZfQGaT2TYgr5HGyWNs6UJxcuTIkUpNTVXXrl01aNCgArT2AvI6e+T1BeQ1eW0D2/L6sixmZ3XWNLfTsxMUFKROnTrpzTfflCS1atXK80FRELfddluhFMXzIyEhQffdd5927twp6cL7ExYWpiuvvNITzmmjD2fm6aef1q233qo333xTX331lZKSkvT999/r+++/V3R0tK699lqNHTvWKxDOnDkjKesvGOnlZWAK6UK/ZO+++67nebly5VS9enVPACQlJWnPnj15Wmd+uFwuLV26VJLUo0ePAv3upWndurXn/wUJ2vnz5ysqKkqpqam6+uqrNXv27EwHvbj4i2nazy0raWeAs/vCl15a/3FHjhzRmTNnsjx7PHfu3Exfz+oqESctXLhQH374ofz9/TVp0qQ8jQ6NC0zslwtFw4nM7tKli8qVK6eTJ09qyZIlnmL2jz/+qH379snf379AAzaT2dkjs/9CZnsjsy895DXSOHmMnZycrEceeURHjhxRrVq1Mu1CIz/I6+yR138hr72R15ce2/L6sixmO2nr1q2eW5X8/f21fPly9ejRo9D6VSoKTz31lHbu3Cl/f3898sgj6tWrV4YP3LTRh7PSpEkTTZs2TefPn9f333+v9evX68svv1Tc/7V353E2l43/x99nxowm68hudMu+tGtV0WLLl1uiFXduqZsKodCqPUtRcUtRtJA7MSaSZElIhAqJEWmMmcY2tjDr+f0xvznNZ5ZzZjlnzuXyej4eHo/5zOecOdeMmfM65/pssbHatGmT7rnnHs2ZM8dzpd5zzz1Xx44dU+vWrTV27Fi/fj8xMTGeyLZq1UpDhw51nL9LyjqE7V//+pdfHzc/P/zwg+fq2P66CnelSpU8H2eHrahefPFFffzxx5KyLoD26quvFrilt2bNmp4rdvvaep99qFHdunULPZZLL71UH330kdLT07Vp06ZCne8smH766Se9+uqrkrIOu8p5kRsUnm2xhVnKli2rzp07a+bMmVq0aJGefvpphYeHey6wdM0116hWrVpBHmXx0OzAodm+0eyzD71GaRg9erR+/PFHlStXTpMmTSrSpJ2p6HXg0Gvf6PXZx7ZeF21TG7xKS0vTiBEjlJaWpjvuuEN9+vSR2+3Wk08+WeST2psiKSlJa9eulSTdeeed6t+/f75bDr0dXpJTeHi4rrvuOj3++ONasGCBpk2bpnPPPVcnT57U22+/7bldca7IW1jZF76oXLmy/vvf/+aJrCTHVZ8D6ZtvvpGUtWXU17nLCiv7Yg6S8r0Iiy+vvPKKJ7KPPPKIJkyY4PWQpYiICM9Vunfu3On1a8fGxkqSmjdvXujxtGrVynP40Jw5cwp9v2A4dOiQBg0apLS0NN18883q379/sId0xnK7i/8PKIzu3btLyjq88ttvv1VGRoZnMvu2224L4siKj2YHFs32jWaffeg1Am3BggWe57lXX31VDRo0CPKISo5eBxa99o1en31K0msTm81kth9NmjRJ27dvV7Vq1TR8+HANGjRIdevWVWJiol5++eVgD69YsrdoSnJcDCGnv/76Sxs2bCjwa6Snpxe47oYbbvCcl3THjh2ez2fHb9u2bXkueJGTt3UFyd5yeeGFFzouQpHTypUri/x1i2P16tWSCv7Z5jRr1izdf//96tOnj9fb/fDDD56P83sR4c2kSZP0wQcfyOVy6eWXX9bAgQMLdb/sq2GvWbOmwHOixcbGel44+TpvWU5VqlTx/I4sXrxY69evL/R9vf3u+VtGRoaGDBmipKQk/eMf/9DYsWP9ckjb2SpDmcX+BxRGixYt1KxZM0lZF31cs2aNDhw4oHLlyql9+/ZBHl3x0OzAotm+0eyzD71GIMXGxuqZZ56RJN1///3q0KFDkEfkH/Q6sOi1b/T67FOSXpvYbCaz/WTz5s2aOnWqJGnUqFGqWLGiIiIiPFc9jo6O1tKlS4M5xGLJubXw8OHD+d7mtdde8+x5nvOqu0ePHlWPHj102WWXadOmTQU+RvaTYc7zQnXp0kVS1h5zs2fPzvd+qampuu2229StW7cihTH7eyro+9m4caPmz5/vWc59peXsJ8+iXC04PykpKdq1a5ckeQ798iYkJESrV6/W2rVrPXsP5nbs2DHPFt/LLrusSIcafffdd5o0aZIk6ZlnnlGPHj0Kfd8ePXrI5XIpISGhwIuJvPvuu5KkOnXqFPm0O48++qhq1aolt9utwYMHa+vWrT7vc/jwYf3nP//xLBf1nG9FNX78eK1bt04RERGaOHGiX86VfzbLlLvY/wpr+/bt6tixo5o0aeL5W8TZJXvv7BUrVuizzz6TlHU4qq8ru5uKZtPswqDZNNufSqPXODudOHFCAwcO1KlTp3T11Vdr2LBhwR6S39Brel0Y9Jpe+1NJem1is5nM9oOUlBSNHDnSc2Xldu3aeda1atVKt99+u6SsK68W9ORuqoYNG3oOo5kxY4bjgg179+7VsGHDtHjxYs+WzEOHDmn37t2Sss4rFRYWptTUVD366KNatWqVY4tiWlqaYmJiPOcBy7ml/dprr/WcB2ns2LGeqxFn27Vrl/r3769du3Zp9+7datSoUaG/pyuuuEJS1hbp7MkLKevCCrNmzVK/fv00aNAgz+c3btzouH/2xRIOHTrk2YJZmKtO57Zr1y5lZGRIki644AKft7/ttts8hxo988wz+uyzzxw/z23btqlPnz7av3+/wsLCNHLkyDxfo127dmrevLnuu+8+x+czMjL0/PPPy+12q0OHDurZs2eRvpemTZt6tuw+//zz+vrrrz1XIz916pTeeOMNLViwQJL05JNPFjl6kZGRmjx5sqpVq6bDhw/r7rvv1pgxY/Tbb7/lue22bds0fvx4tWvXzrNVvnv37urUqVORHrMovv76a02bNk2S9NJLLwXlghi2cZfgX2HMnDlTd9xxh06cOOHnkeNM0qVLF4WHh+vUqVP66quvJMnT7DMRzabZhUGzabY/BbrXODu53W6NGDFCe/bsUc2aNTVhwgTPRRFtQK/pdWHQa3rtTyXptYnN5gKQfvDGG29o165dqlixoucwqJxGjBihlStX6tChQxo1apQmTpwYhFEWT5kyZfToo4/queee0759+9SxY0dFRUUpLS1NCQkJqlChgiZPnqzw8HBNnz5dbrdb3bt3V61atTR37lyNGTNGffr00b59+9SvXz+VK1fOcz6w/fv3ey6ecNNNN6l3796Oxx43bpwGDBigH3/8UaNGjdLYsWNVs2ZNHT16VAcPHpSUdS6p1157TbVr1y7093T//fdr4cKFSk5O1lNPPaUJEyaoQoUKSkhIUEpKiu677z49+OCDmjdvnn7//Xe98847Wrx4sQYMGKDbbrtNN9xwg6ZMmSJJ6t27t8LCwtSwYUPHlubCOHDggOfjwpx365xzztGUKVP0wAMPKD4+Xk899ZRGjx6tGjVq6NixY9q/f7+krAt7jBs3Tpdeemmer5GRkaGMjIw8hymtWLFCe/bskSRt3bpVXbt29Tmel156yXGI1ahRo5SUlKQ1a9bokUceUeXKlVWlShUlJibq1KlTcrlcevzxx9W2bVufXzs/zZs315w5c/T8889rxYoVev/99/X++++rUqVKOu+885SSkqIDBw44Dotr0aKFBg4cqJtuuqlYj1lY48aNkySFhYVp6tSpnqM0CjJo0CDdcsstAR3TmS4zgCfmWr9+vcaMGaNRo0YpMTHRs7cEzj6VK1dW27ZtPXvi1K1bVy1btgzyqIqPZtPsgtDsv9Fs/wpkr3H22rRpk+eo5vT0dPXt29fnfWJiYgI9LL+h1/S6IPT6b/Tav2zrNZPZJbRx40bNmDFDUtakdX4XbqhcubKefvppDRkyREuWLFFMTEyhnshMcc899ygyMlIzZszQjh07tG/fPlWrVk333nuv/v3vf+v888+XJA0ZMkQff/yxjh49qrJlyyo0NFTnn3++Pv/8c8XExGjx4sXauXOn4uPj5XK5VLVqVbVq1UpdunRRhw4d8pz7KDIyUjNnzlRMTIy++OIL/frrr/rjjz8UHh6uxo0b6/rrr1fv3r2LFFlJqlWrlj799FO99dZbWrt2rZKTk5WSkqIrrrhCPXv29DwBjh07Vs8++6x27dqlkydPeq5gfMUVV+jZZ5/V+++/r6SkJJUrV85z3tWiyLlHaM7Dv7ypX7++FixYoP/9739aunSpfvvtN+3Zs0cRERFq0aKFbrjhBvXu3VtVq1Yt0lhyXowj+3xnvuS+ivM555yjadOmKSYmRjExMfr111+1d+9eVa1aVW3bttV9991X5POL5VarVi1NmTJFW7Zs0ddff61169YpISFB8fHxKlOmjGrUqKEaNWroqquuUps2bfJ9sREI2YfxpaWlafv27T5vX9iLuZzNAnkoU+XKlTV79mw1b978jNq4iMDo3r2748KPZ/p5+Gg2zc4Pzf4bzfYvEw89xpkv5zl5Dx486JlktQm9ptf5odd/o9f+ZVuvXW63ZdPzAIAz3vVVri/2fVcfXl3o206cOFGTJk3SokWL1KBBg2I/Js5c27dvV9euXRUSEqJly5YV+c0bAJzNSqvXAACg+ErSa8m8ZrNnNgDAOG7LthzDXNlHV7Vp04aJbAAoInoNAID5bOs1k9kAAOPYdhgUzLRlyxbPhXMeeOCBII8GAM489BoAAPPZ1msmswEAxrErtTDRxo0bNWTIEKWnp6tDhw5n9IUfASBY6DUAAOazrddMZgMAjGPbYVAwR+fOnXXixAklJiZKkho0aKAXXnghyKMCgDMTvQYAwHy29ZrJbACAcTJdvm8DFEdCQoJOnjypatWqqX379ho8eLAqVaoU7GEBwBmJXgMAYD7bes1kNgDAOLZtOYY5Nm3aFOwhAIA16DUAAOazrddMZgMAzirx8fFKTk6WJO3fv1+S9Ntvv+nkyZOSpCZNmig8PDxo4wMAAAAAAPljMhsAYJxAHgY1adIkRUdHOz43aNAgz8fLli1TVFRU4AYAAIAlbDtsGQAAG9nW60JPZt9353zH8q0P13Es1/z8Lcfyn/8cVOD6hC7OdbUXOO/r9/ULJzrXdx5YqHWBWL/v/5zr63wxscB1UYuc943v5H193K2POJbP/3KS9/Vf/de5vsPDBa77o/3DjuV/fD3Zsfx724ccy/WXve1Y3nVLf8dyg+VTHMs7b3Kub7zyHc/HO1r/x7GuyeqpjuVfru3nWL7wh+mO5R8v7+NYbvnLLMfyqgZ3O5ZvOvSlY3lWWjvPx0PbXeBYN+R652NPWP2eY3nD8Fy/iy+84lhOHv+sY7nMI087lt1TnbdP6zvS83HZD8Y41p3sPdyxXG7Wa47lY/cMcyxXnP26Y/noXc71lT8d71g+fMdQx3KVz3Kt7zG0wHWHug9xLFeNfsOxvP+2Rx3L1ef7WB+Ta33XgtcndR3sWFcj5k3Hcu71RXkuK8z6nM9HgXwuK+r6ot73q8n7HMsffHqbAskdwNiOHj1ao0ePDtwDGOCFht0cy9d3OtexvL/7o47l6nPfKHC9t3Wlvb6kX/vP253ra+Z6LvqzW+HX+7pvbrlvn5jrea32587npoR/Dva6Pj7H80PUQudzR3xn53NH7vV7/8+5/vxcryf23Or8+6+32Pl64veOztcE9XO8Jth5i/P1QOMVzt7/2sbZ9OZrnE3/+RpnVy/b9IFjeU3z3o7lNomfO5ZnuW/1fDysfX3HOl/N/n6I8+dSb7SzwftfdTb63GHPOZZTJjkvJOoa8NTfH7+bq+f9nnAsh093Pied7jPCsRzxwVjH8ol/Pe5YLv/ROMfy8V7O9RVnOtcf6/l4geuO3Ou8b+XZztcTR+5+zOv65FyvJ3Krkvv1xZ1DC1x3MNdrj6pzfKzP9frjYI/iry/JfSXpQA/na59qn00o9vqiPtetXnTSsfzsb84NuP4UyF6fDeh1/utLs9f+7nOe9Qv+Xl/SPsflmg/I/X5/T0fn+/0LvnKu/y3He/qGS53v52NvHuBYbpLj/bgk/XL9g47li9a971je0PLfjuWrfv3Esbwk6k7H8j/Df/J8XPXiro519Ppvpdlrb33Ovd7bOimwfc693t9fuyT9zr3O13Nf7P3O3zd6XXjsmQ0AMI5t5/QCAMBG9BoAAPPZ1msmswEAxnG5Q4I9BAAA4AO9BgDAfLb1mslsAIBxbIstAAA2otcAAJjPtl673G63XfuaAwDOeC3Pu67Y9914aI0fRwIAAApCrwEAMF9Jei2Z12z2zAYAGMe2LccAANiIXgMAYD7bes1kNgDAOC7ZFVsAAGxErwEAMJ9tvWYyGwBgHNtiCwCAjeg1AADms63XTGYDAIzjkivYQwAAAD7QawAAzGdbr5nMBgAYx7YtxwAA2IheAwBgPtt6zWQ2AMA4tsUWAAAb0WsAAMxnW6+ZzAYAGMe2w6AAALARvQYAwHy29ZrJbACAcVwKDfYQAACAD/QaAADz2dZrJrMBAMYJsewwKAAAbESvAQAwn229ZjIbAGAc287pBQCAjeg1AADms63XTGYDAIxj22FQAADYiF4DAGA+23rNZDYAwDghLrtiCwCAjeg1AADms63Xdu1nDgCwgkuhxf4HAABKh0m9Tk9P1/jx49W0aVMNGTLE718fAIAzVUl67e9m+6PX7JkNADCOS65gDwEAAPhgSq8TExM1dOhQ7d27V263O9jDAQDAKLb1mj2zAQDGCXGFFvsfAAAoHab0evjw4QoNDVV0dLRfvy4AADYoSa/92Wx/9Zo9swEAxglxkScAAExnSq/vuusudezYUWXKmDEeAABMYluvzfhuAADIwZTDoAAAQMFM6XXnzp2DPQQAAIxlW6+ZzAYAGMdlyJZjAABQMHoNAID5bOu1Xd8NAMAKIX6+YjIAAPC/QPY6LS1NcXFxXm9ToUIFVa9ePWBjAADABrb1mslsAIBxXC6uTwwAgOkC2eukpCR16tTJ6226deum0aNHB2wMAADYwLZeM5kNADCOy49XTAYAAIERyF5HRUVpx44dAfv6AACcLWzrNZPZAADjmHK1ZQAAUDB6DQCA+WzrtV3fDQDACi6XGVdbBgAABaPXAACYz7ZeM5kNADCObVdbBgDARib0OjU1Nc/hzceOHdOWLVskSZGRkYqKigrG0AAAMIJtvQ7+dwMAQC6cMxsAAPOZ0Ov9+/erR48ejs+tXr1aq1evlsRFIgEAsK3XTGYDAIwTEhL82AIAAO9M6DUXigQAwDvbes1kNgDAPK6QYI8AAAD4Qq8BADCfZb1mMhsAYJwQAw6DAgAA3tFrAADMZ1uvmcwGABjHZcBhUAAAwDt6DQCA+WzrNZPZAADzWHYYFAAAVqLXAACYz7JeM5kNADCObVuOAQCwEb0GAMB8tvWayWwAgHFsiy0AADai1wAAmM+2XjOZDQAwj8sV7BEAAABf6DUAAOazrNdMZgMAjGPblmMAAGxErwEAMJ9tvWYyGwBgHFeIXReoAADARvQaAADz2dZrJrMBAOYJtWvLMQAAVqLXAACYz7JeM5kNADCOy7JzegEAYCN6DQCA+WzrNZPZAADzWHYYFAAAVqLXAACYz7JeM5kNADCOy7LDoAAAsBG9BgDAfLb1mslsAIB5LDsMCgAAK9FrAADMZ1mvmcwGAJjHssOgAACwEr0GAMB8lvWayWwAgHFcoXbFFgAAG9FrAADMZ1uvmcwGAJjHssOgAACwEr0GAMB8lvWayWwAgHksOwwKAAAr0WsAAMxnWa+ZzAYAmCfUri3HAABYiV4DAGA+y3rNZDYAwDyWHQYFAICV6DUAAOazrNdMZgMAjOOy7DAoAABsRK8BADCfbb1mMhsAYB7LDoMCAMBK9BoAAPNZ1msmswEA5rFsyzEAAFai1wAAmM+yXtv13QAA7OByFf9fIWzfvl0PPvigWrZsqUsuuUS9evXS+vXrA/xNAQBgmQD3GgAA+EFJem1gs5nMBgCYJ9RV/H8+xMXFqWfPnkpOTtZrr72mKVOmqHz58urbt69+/vnnUvjmAACwRAB7DQAA/KQkvTaw2ZxmBABgnpDABXPy5MnKyMjQO++8oypVqkiSWrZsqfbt22vChAmaMWNGwB4bAACrBLDXAADATyzrNXtmAwDME6BDoNxut5YuXapWrVp5JrIlKTw8XO3bt9e6det07NixQH93AADYwaJDlgEAsJZlpxlhz2wAgHkCdChTQkKCjh8/rkaNGuVZ16hRI2VmZio2NlZXXHFFQB4fAACrGHjoMQAAyMWyXjOZDQAwT4AOgzp06JAkKTIyMs+67M9l3wYAAPhg2WHLAABYybJeM5kNADCOK0CHMqWmpkrKOq1IbmFhYZKk06dPB+SxAQCwTaB6DQAA/Me2XjOZDQAwT4AOgypbtqwkKS0tLc+67InuiIiIgDw2AADWseywZQAArGRZr5nMBgCYJ0CHQVWrVk2SdPjw4TzrDh486LgNAADwwbLDlgEAsJJlvWYyGwBgngBtOa5Zs6YiIyO1Y8eOPOt27NihsLAwNW7cOCCPDQCAdSzb0wsAACtZ1uuQYA8AAIA8XK7i//OhQ4cO+u6773TgwAHP506ePKklS5aodevWKleuXCC/MwAA7BHAXgMAAD8pSa8NbDaT2QAA84S4iv/Ph4ceekgRERHq37+/vvnmG61Zs0YPPfSQTp06paFDh5bCNwcAgCUC2GsAAOAnJem1gc1mMhsAYJ6QEvzzoUaNGpo1a5aqVaumoUOH6pFHHpHL5dKHH36ohg0bBuK7AQDATgHsNQAA8JOS9NrAZnPObACAeQK89bdBgwaaMmVKQB8DAADrGbi3FgAAyMWyXjOZDQAwjsuy2AIAYCN6DQCA+WzrNZPZAADzGHgoEwAAyIVeAwBgPst6zWQ2AMA8Bl4xGQAA5EKvAQAwn2W9ZjIbAGCeULtiCwCAleg1AADms6zXTGYDAMxj2WFQAABYiV4DAGA+y3rNZDYAwDi2XaACAAAb0WsAAMxnW6+ZzAYAmMeu1gIAYCd6DQCA+SzrNZPZAADzWLblGAAAK9FrAADMZ1mvmcwGABjHFRrsEQAAAF/oNQAA5rOt10xmAwDM47JryzEAAFai1wAAmM+yXjOZDQAwjsuyqy0DAGAjeg0AgPls6zWT2QAA81h2Ti8AAKxErwEAMJ9lvWYyGwBgHMuOggIAwEr0GgAA89nWayazAQDmsewwKAAArESvAQAwn2W9ZjIbAGAcl2WHQQEAYCN6DQCA+WzrNZPZAADj2HaBCgAAbGRKr48fP67Jkydr4cKFSk5OVu3atdW6dWs9/PDDioyMDPbwAAAIKtt6zWQ2AMA8hsQWAAB4YUCv09LS1K9fP+3atUuDBg1Ss2bNtHXrVr311ltav369oqOjFRoaGuxhAgAQPJb1mslsAIBxbDsMCgAAG5nQ6+XLl+unn37S6NGj1a1bN0nSlVdeqbS0NL3++utav369rr322iCPEgCA4LGt10xmAwCMY8phUAAAoGAm9Lphw4Z6+eWX1a5dO8fnmzZtKklKTEwMxrAAADCGbb1mMhsAYBxX8DccAwAAH0zodYMGDdSgQYM8n9+9e7ck6fzzzy/tIQEAYBTbes1kNgDAOCYcBgUAALwztddJSUmaMmWKmjZtqpYtWwZ7OAAABJVtvWYyGwBgHBMOgwIAAN4FstdpaWmKi4vzepsKFSqoevXqjs8dOnRI/fv3V2pqqsaNGyeXCbujAQAQRLb1mslsAIBxeN8JAID5AtnrpKQkderUyettunXrptGjR3uW4+Li1K9fPyUnJ2vatGlq3Lhx4AYIAMAZwrZeM5kNADCOqYdBAQCAvwWy11FRUdqxY0ehb799+3b17dtX55xzjj755BM1bNgwYGMDAOBMYluvmcwGABiH04wAAGA+U3q9b98+9evXT+edd56mTZumGjVqBHtIAAAYw7ZeM5kNADAOpxkBAMB8JvQ6IyNDgwYNUnh4uKZPn66qVasGe0gAABjFtl4zmQ0AME6IIVuOAQBAwUzodXR0tLZu3aqhQ4cqMTFRiYmJjvWRkZGKiooK0ugAAAg+23rNZDYAwDicMxsAAPOZ0OsNGzZIksaPH6/x48fnWZ/7olMAAJxtbOs1k9kAAOOYsOUYAAB4Z0KvR48ezWQ1AABe2NZrJrMBAMYx4ZxeAADAO3oNAID5bOs1k9kAAOOYcrVlAABQMHoNAID5bOs1k9kAAOOEGHBOLwAA4B29BgDAfLb1mslsAIBxbDsMCgAAG9FrAADMZ1uvmcwGABjHhAtUAAAA7+g1AADms63XTGYDAIxj22FQAADYiF4DAGA+23rNZDYAwDi2HQYFAICN6DUAAOazrddMZgMAjGPZhmMAAKxErwEAMJ9tvWYyGwBgHNvO6QUAgI3oNQAA5rOt10xmAwCME2LbcVAAAFiIXgMAYD7bes1kNgDAOLZtOQYAwEb0GgAA89nWayazAQDGsS22AADYiF4DAGA+23rNZDYAwDghtl2hAgAAC9FrAADMZ1uvmcwGABjHstYCAGAleg0AgPls6zWT2QAA49h2GBQAADai1wAAmM+2XjOZDQAwTqhlV1sGAMBG9BoAAPPZ1msmswEAxrGstQAAWIleAwBgPtt6zWQ2AMA4obad1AsAAAvRawAAzGdbr5nMBgAYx7ZzegEAYCN6DQCA+WzrNZPZAADjhNh2HBQAABai1wAAmM+2XjOZDQAwTqhdrQUAwEr0GgAA89nWayazAQDGCbHsnF4AANiIXgMAYD7bes1kNgDAOKGWndMLAAAb0WsAAMxnW68t+3YAADYIcbmK/c/f0tPTNX78eDVt2lRDhgzx+9cHAOBMZVKvAQBA/krSaxObzZ7ZAADjmHJOr8TERA0dOlR79+6V2+0O9nAAADCKKb0GAAAFs63XTGYDAIwTasg5vYYPH67Q0FBFR0fr+uuvD/ZwAAAwiim9BgAABbOt10xmAwCM4zLkUKa77rpLHTt2VJky5BIAgNxM6TUAACiYbb3m3TkAwDihhsS2c+fOwR4CAADGMqXXAACgYLb1mslsAIBxbLvaMgAANqLXAACYz7ZeM5kNADBOIK+YnJaWpri4OK+3qVChgqpXrx6wMQAAYINA9hoAAPiHbb1mMhsAYJxAHgaVlJSkTp06eb1Nt27dNHr06ICNAQAAG9h22DIAADayrddMZgMAjBPIqy1HRUVpx44dAfv6AACcLQLZawAA4B+29ZrJbACAcWzbcgwAgI3oNQAA5rOt10xmAwCMY1lrAQCwEr0GAMB8tvWayWwAgHFCXcG/3HJqamqe05EcO3ZMW7ZskSRFRkYqKioqGEMDAMAIJvQaAAB4Z1uvmcwGABjHhHN67d+/Xz169HB8bvXq1Vq9erUkLhIJAIAJvQYAAN7Z1msmswEAxjFhuzEXigQAwDsTeg0AALyzrddMZgMAjGPblmMAAGxErwEAMJ9tvWYyGwBgnBDLzukFAICN6DUAAOazrddMZgMAjGPZhmMAAKxErwEAMJ9tvWYyGwBgnBCXZbUFAMBC9BoAAPPZ1msmswEAxgm1LLYAANiIXgMAYD7bes1kNgDAOC7LYgsAgI3oNQAA5rOt10xmAwCMY9thUAAA2IheAwBgPtt6zWQ2AMA4IbIrtgAA2IheAwBgPtt6zWQ2AMA4tm05BgDARvQaAADz2dZrJrMBAMax7ZxeAADYiF4DAGA+23rNZDYAwDi2HQYFAICN6DUAAOazrddMZgMAjBNiV2sBALASvQYAwHy29ZrJbACAgSyrLQAAVqLXAACYz65eM5kNADCObYdBAQBgI3oNAID5bOs1k9kAAOPYlVoAAOxErwEAMJ9tvWYyGwBgHJd1uQUAwD70GgAA89nWayazAQDGsSu1AADYiV4DAGA+23rNZDYAwDi2xRYAABvRawAAzGdbr11ut9sd7EEAAAAAAAAAAOBNSLAHAAAAAAAAAACAL0xmAwAAAAAAAACMx2Q2AAAAAAAAAMB4TGYDAAAAAAAAAIzHZDYAAAAAAAAAwHhMZgMAAAAAAAAAjMdkNgAAAAAAAADAeExmAwAAAAAAAACMx2Q2AAAAAAAAAMB4TGYDAAAAAAAAAIzHZDYAAAAAAAAAwHhMZgMAAAAAAAAAjMdkNgAAAAAAAADAeExmAwAAAAAAAACMx2Q2AAAAAAAAAMB4TGYDAAAAAAAAAIzHZDYAAAAAAAAAwHhMZgMAAAAAAAAAjMdkNgAAAAAAAADAeExmAwAAAAAAAACMx2Q2AAAAAAAAAMB4TGYDAAAAAAAAAIzHZDYAAAAAAAAAwHhMZgMAAAAAAAAAjFcm2AMAACAPV63i39ed6L9xAACAgtFrAADMV5JeS8Y1mz2zAQAAAAAAAADGY89sAICBwoM9AAAA4BO9BgDAfHb1mslsAICBAhvb5cuXa9q0adq5c6fS0tLUtGlT9e3bV+3btw/o4wIAYBe73hwDAGAnu3rNaUYAAAYKL8E/72JiYjRgwADVqVNHb7zxhiZMmKAyZcpo4MCBWrRoUUC+GwAA7BS4XgMAAH8pSa/Na7bL7Xa7gz0IAAAcXJcV/77uH72uvvnmm1WrVi3NnDnT87kTJ06oTZs2atGihT788MPiPzYAAGeTAPYaAAD4SUl6LRnXbE4zAgAwUFhAvmpKSoruv/9+NWrUyPH58uXLq379+kpISAjI4wIAYKfA9BoAAPiTXb1mMhsAYKDAHMpUtmxZ9ezZM8/n09LSlJiYqGbNmgXkcQEAsJN5hx4DAIDc7Oo1k9kAgLNWRkaG4uLiNH78eKWkpGjQoEHBHhIAAAAAACgAk9kAAAMFfsvxvHnz9MQTT0iSmjVrpunTp+vCCy8M+OMCAGAPu/b0AgDATnb1OiTYAwAAIK/AX2n55ptv1rx58/TOO++ofv36uueeezRv3jy/fhcAANgt8L0GAAAlVZJem9dsl9vtdgd7EAAAOLj+Wfz7uj8v1t0ee+wxLVmyRKtWrVKlSpWK//gAAJwtgtBrAABQRCXptWRcs9kzGwBgoMBsNd6/f7/mzJmj3377Lc+6Fi1aKCUlRXv27PHbdwEAgN3s2csLAAB72bVnNpPZAAADBSa0qampevrpp/XOO+/kWffjjz9KkmrVquWn7wEAANvZ88YYAAB72TWZzQUgAQAGCkwwo6Ki1LVrV8XExKh8+fJq27atJGnJkiX66quvdPvtt6t69eoBeWwAAOxj3htcAACQm129ZjIbAHBWeeWVV9S0aVNFR0dr7ty5Cg8PV926dfXYY4+pT58+wR4eAAAAAAAoAJPZAAADBW7LcZkyZdS3b1/17ds3YI8BAMDZwa49vQAAsJNdvWYyGwBgILtiCwCAneg1AADms6vXTGYDAAxkV2wBALATvQYAwHx29ZrJbACAgcKCPQAAAOATvQYAwHx29ZrJbACAgezacgwAgJ3oNQAA5rOr1yHBHgAAAAAAAAAAAL6wZzYAwEB2bTkGAMBO9BoAAPPZ1WsmswEABrIrtgAA2IleAwBgPrt6zWQ2AMBAdsUWAAA70WsAAMxnV6+ZzAYAGMiu2AIAYCd6DQCA+ezqNZPZAAAD2RVbAADsRK8BADCfXb1mMhsAYCC7YgsAgJ3oNQAA5rOr1yHBHgAAAAAAAAAAAL6wZzYAwEB2bTkGAMBO9BoAAPPZ1WsmswEABrIrtgAA2IleAwBgPrt6zWQ2AMBAYcEeAAAA8IleAwBgPrt6zWQ2AMBAdm05BgDATvQaAADz2dVrJrMBAAayK7YAANiJXgMAYD67eh0S7AEAAJBXeAn+AQCA0hH4Xm/fvl0dO3ZUkyZNtGvXLr+OHgCAs0NJem1es5nMBgAAAAAYZ+bMmbrjjjt04sSJYA8FAAB4UZrNZjIbAGAg9swGAMB8gev1+vXrNWbMGI0aNUp33XVXQEYPAMDZIbB7Zpd2s5nMBgAYiMlsAADMF7heV65cWbNnz1aPHj0CMnIAAM4egZ3MLu1mcwFIAICBmJQGAMB8get148aNA/a1AQA4uwT2/XVpN5vJbACAgZjMBgDAfPQaAADz2dVrJrMBAAayK7YAANiJXgMAYD67es1kNgDAQHbFFgAAO9FrAADMZ1evuQAkAAAAAAAAAMB47JkNADCQXVuOAQCwE70GAMB8dvWayWwAgHHcJciTy4/jAAAABaPXAACYryS9lsxrNpPZAADjZJYgT6F+HAcAAChYIHsdHx+v5ORkSdL+/fslSb/99ptOnjwpSWrSpInCw+3a0wwAgEAoSa8l85rtcrvdbr99NQAA/CDNlVrs+4a5eWMLAEBpCGSvR44cqejo6ALXL1u2TFFRUcV+fAAAzhYl6bVkXrOZzAYAGCfFlVns+5Z1c21jAABKA70GAMB8Jem1ZF6zzRoNAAAAAAAAAAD54JzZAADjpJdgW2tZP44DAAAUjF4DAGC+kvRaMq/ZTGYDAIxTkjN6lfPbKAAAgDf0GgAA85XsjNnmNZvJbACAcUoaWwAAEHj0GgAA89nWayazAQDGsS22AADYiF4DAGA+23rNZDYAwDi2xRYAABvRawAAzGdbr5nMBgAYx7bYAgBgI3oNAID5bOt1yS5nCQAAAAAAAABAKWDPbACAcWzbcgwAgI3oNQAA5rOt10xmAwCMkxbsAQAAAJ/oNQAA5rOt10xmAwCMY9uWYwAAbESvAQAwn229ZjIbAGAc22ILAICN6DUAAOazrddMZgMAjGNbbAEAsBG9BgDAfLb1mslsAIBxbIstAAA2otcAAJjPtl6HBHsAAAAAAAAAAAD4wp7ZAADj2LblGAAAG9FrAADMZ1uvmcwGABjHttgCAGAjeg0AgPls6zWT2QAA49gWWwAAbESvAQAwn229ZjIbAGAc22ILAICN6DUAAOazrddMZgMAjGNbbAEAsBG9BgDAfLb1mslsAIBx0oI9AAAA4BO9BgDAfLb1OiTYAwAAIBi+++473XPPPbrkkkt01VVX6d5779XKlSuDPSwAAAAAAFAAJrMBAMZJLcG/wli+fLn+/e9/q3z58po4caLGjRunsmXL6sEHH9SXX37p5+8GAAA7BbrXAACg5ErSaxObzWlGAADGCXQwJ0yYoHr16mny5MkKCwuTJF111VW68cYb9dFHH+nWW28N8AgAADjzmfgGFwAAONnWayazAQDGCWRs3W63BgwYoCpVqngmsiUpIiJC//jHP/Tnn38G8NEBALCHbW+OAQCwkW29ZjIbAGCcQMbW5XKpU6dOeT6flpamP/74Q82aNQvgowMAYA/b3hwDAGAj23rNZDYAwDjBiO3EiRN15MgR3XvvvUF4dAAAzjy2vTkGAMBGtvWaC0ACAM56s2fP1rvvvqvbb79d7du3D/ZwAAAAAABAPtgzGwBgnNLccjxp0iRNnDhRXbp00YsvvliKjwwAwJnNtj29AACwkW29ZjIbAGCc0ortqFGjNHv2bPXr10+PPfaYXC5XKT0yAABnPtveHAMAYCPbes1kNgDAOKUR2wkTJuh///ufnnrqKf3rX/8qhUcEAMAutr05BgDARrb1mslsAIBxAh3bpUuXasqUKXrssceYyAYAoJhse3MMAICNbOs1k9kAAOMEMrbp6ekaPXq0oqKidPXVV2vLli15btOkSROFh4cHcBQAAJz5bHtzDACAjWzrNZPZAADjpAXwa//555/au3evJOmOO+7I9zbLli1TVFRUAEcBAMCZL5C9BgAA/mFbr5nMBgCcVaKiorRjx45gDwMAAAAAABQRk9kAAOPYdhgUAAA2otcAAJjPtl4zmQ0AMI5tsQUAwEb0GgAA89nWayazAQDGsS22AADYiF4DAGA+23rNZDYAwDi2xRYAABvRawAAzGdbr5nMBgAYx7bYAgBgI3oNAID5bOs1k9kAAOPYFlsAAGxErwEAMJ9tvQ4J9gAAAAAAAAAAAPCFPbMBAMaxbcsxAAA2otcAAJjPtl4zmQ0AMI5tsQUAwEb0GgAA89nWayazAQDGsS22AADYiF4DAGA+23rNZDYAwDi2xRYAABvRawAAzGdbr5nMBgAYJy3YAwAAAD7RawAAzGdbr0OCPQAAAAAAAAAAAHxhz2wAgHFsOwwKAAAb0WsAAMxnW6+ZzAYAGCeTOgEAYDx6DQCA+WzrtWXfDgDABrbFFgAAG9FrAADMZ1uvLft2AAA2sC22AADYiF4DAGA+23pt2bcDALCBbbEFAMBGpdHr7du3a/z48dq4caPS09N10UUXadCgQbrqqqsC/+AAAFjAtl6H+P0rAgBQUuEl+AcAAEpHgHsdFxennj17Kjk5Wa+99pqmTJmi8uXLq2/fvvr555/9/d0AAGCnkvS6EM0u7V673G632+9fFQCAEnDVKP593Un+GwcAAChYoHs9cuRILV68WMuXL1eVKlUkSampqWrfvr3q1aunGTNmFH8AAACcJUrSa8l3s0u71+yZDQAwD3tmAwBgvgD22u12a+nSpWrVqpXnjbEkhYeHq3379lq3bp2OHTvm128HAAArBXDP7GD0mslsAIB5mMwGAMB8Aex1QkKCjh8/rkaNGuVZ16hRI2VmZio2NtYv3wYAAFYL4GR2MHrNJbYAAOZhUhoAAPMFsNeHDh2SJEVGRuZZl/257NsAAAAvLOs1k9kAAPOEBXsAAADApwD2OjU1VVLWYcp5HjYs64FPnz4duAEAAGALy3rNZDYAwDzsmQ0AgPkC2OuyZctKktLS0vKsy37jHBEREbgBAABgC8t6zWQ2AMA8TGYDAGC+APa6WrVqkqTDhw/nWXfw4EHHbQAAgBeW9ZoLQAIAAAAAjFKzZk1FRkZqx44dedbt2LFDYWFhaty4cRBGBgAAsgWj10xmAwDME6ArLQMAAD8KcK87dOig7777TgcOHPB87uTJk1qyZIlat26tcuXK+e1bAQDAWiXpdSGaXdq9drndbrdfvyIAACXkal/8+7qX+G8cAACgYIHudVJSkv75z38qKipKAwcOVFhYmKZOnaqff/5Zc+bMUcOGDYs/AAAAzhIl6bXku9ml3WsmswEAxnF1Lv593Qv9Nw4AAFCw0uj1rl27NG7cOK1fv15ut1uXXnqphg4dqosuuqj4Dw4AwFmkJL2WCtfs0uw1k9kAAOO4bi/+fd3z/DcOAABQMHoNAID5StJrybxmlwn2AAAAyINzXwMAYD56DQCA+SzrNZPZAADzWBZbAACsRK8BADCfZb0OCfYAAAAAAAAAAADwhT2zAQDmsWzLMQAAVqLXAACYz7JeM5kNADCPZbEFAMBK9BoAAPNZ1msmswEA5gkL9gAAAIBP9BoAAPNZ1mvOmV0EN998s5o0aaIXXngh2EMx0ogRI9SkSRP17dtXGRkZJf568+bNU5MmTdSkSRPFx8f7YYRZRo4cqSZNmqhz585++5q+xMbG6vLLL1eLFi20Zs2aUntc4IwVXoJ/OOvRa+/odcHoNVBE9BolRLO9o9kFo9lAEZSk1wY2+6zYM7tJkyZe14eHh6ty5cpq1qyZ2rZtqy5duigiIqKURmeHd999V/Pnz1edOnX0xhtvKDQ0NNhDMkrjxo01ZswYPfLIIxo8eLA+++wz1atXLyhj2bBhg9auXatu3bopKiqq0PebOHGiJk2aVKTHWrZsmecxinL/W265RZMnTy7SY0nSkSNHNGvWLK1YsUK///67Tp06pQoVKqhx48bq0KGD7rjjDoWHF/xM/OOPP+rjjz/Wpk2bdPDgQZUtW1YXXHCB2rVrp169euncc88t8phy+/PPP7Vw4UKtXbtWv//+u5KTk5WamqqIiAjVqlVLTZs21U033aR27dopLKzgzac333yz9u3bV6Sf1RVXXKHjx4+rW7duGj16dIm/l4AyMJgIPHodePTaO3pNr7PR60Ki12ctmh14NNs7mk2zs9HsQrCs12fFZHa2yMhI1ahRI8/nT548qYSEBK1cuVIrV67U1KlTNXnyZDVq1CgIozzzbNmyRW+++aZcLpdeeeUVVaxYMdhDMlK7du3UrVs3RUdH67HHHtPs2bNVpkzp/wl++umniomJ0VVXXVWk0FatWlVNmzb1ebsTJ054tvLnF4qwsDA1aNDA69coyriy/fTTT3rkkUd04MABSVLFihUVFRWlffv2ad26dVq3bp0++eQTzZgxQ1WrVs1z/ylTpmjChAmSsl5816lTR3/99Zc2b96szZs3a+7cufrggw9Us2bNIo9NklJTUzV27FjNnj1baWlpkqRzzz1XVatWVXh4uA4ePKjY2FjFxsbq888/V1RUlEaPHq0rr7yyWI8HnMnodWDQ68Kh1/J8jl7Ta8AXmh0YNLtwaLY8n6PZNPtsclZNZnfp0kVPPfVUvutOnz6tBQsWaPTo0YqLi9P999+vL7/8UuXKlSvlUZ5ZMjMz9eyzzyo9PV1dunTRNddcE+whGW348OH6+uuvtWXLFn388cfq06dPqY9h8+bNxbrfPffco3vuucfn7QYOHKj4+Hh17tw53xe21atXV0xMTLHGUJD9+/frwQcf1NGjRxUVFaUXX3xRrVq1kpQVuA8++ECvv/66du7cqZEjR2ratGmO+y9btswT2fvuu0+DBg1S+fLlJUk///yzhg0bpj179mjw4MH65JNPFBJStDM0HT9+XH379tXmzZvlcrnUtWtX9erVSxdddJFcLpfndrt27VJ0dLQ++OADxcfHq2/fvnr//ffPzthatuUYRUOv/Y9eFw29ptf0upDo9VmPZvsfzS4amk2zaXYhWNZrzpn9/51zzjm644479Prrr0uSkpKSNHfu3CCPynyff/65tm3bpjJlymjIkCHBHo7xqlSpovvvv1+S9N///lfHjx8v1cc/fvy49uzZE7Cvv3TpUi1ZskSVKlXSE088EbDHyW369Ok6evSoypQpoylTpngiK2VtAX7ggQd01113SZJWrVqV5/xwY8eOlSTddNNNevLJJz2RlaRLLrlEb731llwul3766SctXry4SGNzu90aPny4Nm/erPDwcE2cOFFjx47VxRdf7IisJDVo0ECPPfaYZs2apUqVKik1NVUjR47UX3/9VaTHtIJF5/OCf9Hr4qHXRUOvA4NeW4hewwuaXTw0u2hodmDQbMuczefMjo+P1y233CJJmjlzpurXr6/Jkydr+fLlOnDggCIjI9WqVSsNHjxYtWrVkiTNnTtXs2fP1u+//660tDTVr19fvXr1Uvfu3T1f98iRI+rcubMOHDjg9dw0jz32mBYsWKCKFStqwYIFxT4UwZsbb7xR5513ng4dOqQNGzboX//6V4G3XblypWbMmKFff/1VJ06cULVq1dS6dWs99NBD+W4tk6Rt27Zp1qxZ2rBhg5KSkpSamqqKFSuqWbNmuu2229SlS5c8f3xS1h/rl19+qc8//1y//PKLkpOTFR4ermrVqunCCy9U9+7dHU8uOaWnp+vzzz/XwoUL9euvv+r48eMqX768LrjgAnXo0EH33nuv13McefPee+9Jktq3b686deoUeLulS5dq/vz52rp1qw4dOiQp65Cayy67TD179lTLli0L/Zg5fw/fffddXXbZZXr77be1fPlyJSUlKTQ0VBdccIG6d++uu+++O9+fZ06//fabpkyZonXr1ik5OVnly5fX5Zdfrv79++viiy/O9z4HDhzQRx99pNWrVysuLk4nT55URESE6tevr7Zt26p3794Fnvvp7rvv1pQpU3Ts2DHNmTNHffv2LfT3nlNRf6bZ53/KlvN3e8eOHcUaQ07Hjx/X888/L0kaNmxYvocZBcru3bsVERGhCy+8sMBDFzt16qTZs2dLkrZv3+45zGrDhg2eFx/9+vXL977NmzfXNddco7Vr12revHnq1KlToce2YsUKLV++XJI0ZMgQtWvXzud9LrroIr300ktasWKFWrdu7fN3uKR8nfMwp5znaAsoA4N5JglUr4cOHaovvvhClStX1qpVq7y2o3Pnztq5c6euv/56Tyv8iV4XDb2m19nodf7odTHR6xILVLMlqXfv3lq/fn2hxvHqq6/q9ttv9+839//R7KKh2TQ7G83OH80uBst6XezTjBw/fly9evXSH3/8obp16yoiIkJJSUmKjo7WDz/8oAULFmjMmDGaPXu2qlevrurVqysuLk7btm3Tk08+qZSUFN17772SpMqVK+ull17Sf/7zHy1btkxLly5V27ZtHY+3du1aLViwQJL09NNPB2QiO1vlypV16NAhr1tq3nvvPY0dO1aVK1dW1apVlZGRoYSEBM2ePVvffvut5s+fr0qVKjnu88knn+iFF15QZmamQkNDVbNmTZUpU0YJCQlas2aN1qxZo+XLl2v8+PF5DrEYOnSoFi1aJCnrHEB16tRRRkaG9u3bpz179mjhwoXq3bu3nn76acf9jhw5ooceekgbN2503PfPP//Upk2btGnTJs2ePVsffPBBgS8OCvLzzz8rNjZWkvK8cMrmdrv1+OOPe/7vypYtq9q1ayslJUV//vmnvvjiCy1atEhPPvmk1xc1BTlw4IDuvPNO/f7776pQoYJq1qyphIQEbdmyRVu2bNG6des0YcKEAp+o1q1bp/79+8vtdqt27dqSsg6nWbZsmVatWqUPPvhAl19+ueM+mzdvVr9+/XT06FFJUrVq1VStWjUlJSV5zv00f/58zZw5U1WqVMnzmFWqVNFNN92kxYsX67PPPityaIv7M23QoIFCQ0MVFxcnSTr//PP9crGFbOPGjdP+/ft12WWX6c477/Tb1y2Md955R5I858nKT85zp6Wmpno+XrdunaSsv41LL720wPu3atVKa9eu1YYNG5SZmVnow6BmzJghKevQr6L8jrdv317t27cv9O1Lwtd52vbt2+fZw8HbBTP8yrLYBpM/e929e3d98cUXOnLkiJYvX66OHTvm+5g7d+7Uzp07JSlgb4wlel1Y9Jpe50Sv80evi4le+5U/my1lPX8cO3aswMdLTk5WUlKSJAX8PMM0u3BoNs3OiWbnj2YXg2W9Lnax3njjDVWtWlUzZsxQ9erVJUlz5szR008/rfj4eA0dOlQbNmzQtGnTdMMNN0iSDh8+rPvuu0+xsbGaOnWqI7Q33nijunfvrrlz5+rFF1/Utdde6zmXVkpKip577jlJWb98Xbt2Le6wfUpLS1NiYqIkebZ857ZlyxYtXLhQb775ptq3b6+QkBBlZmZq6tSpGj9+vBISEjRr1iwNGDDAc589e/bopZdeUmZmpq655hqNGzfO83M7deqUxo0bp5kzZ+rLL79UmzZt1K1bN899ly5dqkWLFsnlcumZZ55xXC32xIkTmj59uiZNmqSPPvpIbdu2dZxT67HHHtPGjRtVqVIlvfDCC57xut1uLVu2TM8995x+//13PfTQQ5ozZ06RzlO0ZMkSSVL58uV19dVX53ub6OhoTxD69u2rgQMHep7cExISNGLECK1fv15jxoxRmzZt9I9//KPQjy9lHUYUHh6u6OhoNW/e3PMzee6557RgwQJ9+eWXuvHGG3Xbbbflue9ff/2l4cOHq2/fvnrggQd0zjnnSJLWrFmjhx56SKdPn9bEiRM1ffp0z30yMjI0dOhQHT16VDVq1NDbb7+tFi1aSMoK4Ny5czVq1Cjt3r1b48aN06uvvprvuNu1a6fFixdr165d2r17t+rXr1/o77m4P9OpU6dq3bp1nif7l156qcD/t6L69ddfNWfOHLlcLj399NM+t3IeOHBA0dHR2rhxow4dOqSIiAg1bNhQnTp1KtG5q7xFYOvWrZ6Pc14cI3uLeb169by+iM/+Pzp16pR+//13nxfYyL7tpk2bJEm33nprUC5GUhjezq+2fft2z+Fj9913X5FfkBebZbENJn/2+tprr1WdOnW0b98+zZs3r8DJ7C+++EKSVKFChTwbp/2FXtNrel109Dp/9LoE6LVf+fs99ssvv1zgY504cUJ33HGHpKxD/gtquj/QbJpNs4uOZuePZheTZb0u9jmzExIS9NZbb3liIUl33HGH6tWrJylrt/8nn3zSE1kpa2vZAw884Ln/n3/+6fiaTz75pGeL5htvvOH5/JQpU7Rnzx6dd955nkMsAuWTTz7RyZMnJanAQxU2b96sF154QR07dvSEKSQkRP/5z388T2o//vij4z7Lly9Xenq6JOm5555z/NwiIiL0zDPPeA4hyt46nO3777+XJDVq1Eg9e/Z0HK5Uvnx5DRw4UN27d9fNN9/s2PK+du1arVq1SpI0fvx4x3hdLpfatm2rN998U1LWk9DSpUsL/XOSpB9++EGSdOmllxb4BJcd4+rVq2v48OGOrZS1a9fWK6+8IinrMK3s2xZFYmKi3nzzTU9kpayfySuvvOJ5ofTJJ5/ke9+EhATdcsstGjhwoCeyknTdddepc+fOkvL+P/7yyy9KSEiQJD388MOeyEpZP9MePXp47rt48WJlZGTk+9g5D0/K3qJfWIH+mRbHuHHjlJmZqf/7v//ThRde6PW2Bw8eVLt27fT666/rm2++0ZYtW7R+/XrNmjVLvXr10pAhQ3T69Gm/ju/kyZP68MMPJUlXXnml45Cf7L1RfAUk59EguZ+7CrJ9+3bPluyCDqcz2bFjxzRw4ECdPn1aV155pYYPH156D27R+byCzZ+9DgkJ8bwRXL16tfbv35/vY3755ZeSsg49LFu2rN+/J4leFwW9ptfZ6HX+6HUJ0Gu/CsR77II8+eST2r17t6pUqaK33nqr2KfEKAyaXXg0m2Zno9n5o9nFdDafMzundu3aqXLlynk+36hRI+3Zs0cRERGeJ5ycGjdu7Pl4//79jl/e7CfIPn36aObMmeratasiIiI0depUSdILL7yQ7yElJXX69Gnt2bNHMTEx+uCDDyRJbdq0UZs2bfK9fa1atdShQ4d819WvX19//PGHDhw44Ph837591atXLx0+fDjfU6S4XC5deOGF2rdvn/bu3etY53a7JUlHjx5VSkpKvhMD2U+uOX3++eeSsn7m119/fb7jbdmypZo3b65t27ZpyZIlhT7kIjMzU7/++qskOWKT25QpU3Ty5EmdPHky3y2JdevWVeXKlXXkyJE833dhXH755fkevhEeHq6OHTtq+vTp2rx5s/766698r5pd0JWOs7cInjp1SidOnPBcrODiiy/2nD+rYsWK+d73oosu0vz583Xy5EkdPnxY1apVy3ObWrVqqUqVKjp8+LB++eUXz14RhRHon2lRbdiwQWvWrFFISIgGDhzo8/YpKSm67LLLNGDAAF1yySU655xztH37dr399tv65ptvtGjRIoWFhXkuGFFSmZmZGjlypOLj4xUWFpbnohnZhzpGRER4/To51xf2YhHZ51mTfIe8uNatW1foo1WKcpGL7ItqxMXFqVq1apowYYKxW73hnb97ffvtt+u///2vMjIyNH/+fD344IOO+23bts1zjryce0D5A72m17nR68Kj1wWj1zBFIN5j52fatGn66quvFBoaqgkTJgTkFJ40m2bnRrMLj2YXjGZDKsFkdkEnM89+Mrvgggvy3bqb88kuvy1D11xzjXr16qWPPvpIzz77rMqVK6e0tDR169atxIcqf/jhh54tR9506dJFL7zwQoHrL7zwwgIP8ahQoYIkec71lFN4eLjXFwrZW/9ynmtIyjqs++OPP1ZSUpLuvvtuDRgwQK1bt3Zs6cxP9hbPnC9u8nPxxRdr27Zt2rZtm9fb5XTgwAHPOH2dqP7cc8/1et6ocuXK6ciRI3m+78Lwdv6l7N/RzMxMxcXFqVmzZo71lSpV0vnnn5/vfbP/H6Ws/8ucV94NCQnJN57Zcn6vKSkpBd6ubt26Onz4cLFiGMifaVFNmzZNUtaL7+y9RvJzzTXXKDQ0VJUqVdLdd9+t0NBQz7pLL71UU6ZM0bBhw/TFF18oJiZGvXv31kUXXVSisZ0+fVqPPfaYvv76a0lZh33lfmGY/Tzk6zxVOZ/PTp06VajHz94DRZLXv9eVK1dq/PjxBa6/8MILCzxM9MSJE9q+fXuhxlMUb7/9tlasWKGwsDC9+eabXn/nA8LArb9nKn/3uk6dOrr22mv13XffKTo6Os9kdvYpRurVq6fLLrusWGOm1/mj13nR68Kj1wWj1yVAr/0qUO+xc1q3bp3n93jo0KGO02cUB83OH83Oi2YXHs0uGM0uJst6XezJ7JxPPDllByi/LXQ510t/bw3NbdiwYVq1apV++eUXSVlb2J566qniDtUjMjIy3y03YWFhqly5slq0aKFbb73V54naC/reJTmePHI7deqU5s2bp+XLlysuLs7nBTCytW3bVv/617/04Ycfatu2bRo4cKDCw8N1ySWX6JprrlHbtm3zHfPBgwclSQsXLtTChQt9Pk5hD+uQnFvDzjvvPK+3TUpK0ieffKLvv/9eSUlJOnjwoN8CUNA513KP6/Dhw3nWF/b/Mffvafa50BYuXKjY2FgdOnRIR48eLfD3uSDZT1zZ/09FEcifaVHExcXpm2++kST16tXL622vvPJKr+fqcrlcGjFihL788ktlZmZq4cKFJQrtoUOH9NBDD+mnn35SaGionnnmmXzP65a9NdjbhS0k54smX1uYs+V8wXbixIkCb3fkyBGvsSxoDwVJuuWWWzR58uRCjeeKK67wXGTCm9WrV2vixImSpBEjRhTpSuh+Y1lsgykQve7evbu+++477d69Wz/99JPjTU/2KUZKslc2vfaOXv+NXhcOvfaOXpcAvfarQL7HlrKek4YOHaqMjAx16NBB/fr1K8Fos9Bs72j232h24dBs72h2MVnW62JPZvs6+byv9d5ERETolltu0XvvvSdJuvrqqx2/sMXVpUsXv0yKF0diYqL+/e9/6/fff5eU9fOpXr26ateu7XlST0xMzHdrsyQ99dRT6ty5s9577z2tWrVKJ0+e1A8//KAffvhBEydO1OWXX65Ro0Y5gpu9ZaugFxi5FeXCFDm3mnl70lmzZo0GDRrkeZIJDw9XtWrVVL58ec/vyK5du3w+yRXE22Pn3ArorwilpaVp0KBBWr58uedzkZGRqlevnufQtKNHj3oucOJN9lbEwm6BzBbon2lRzJ07V263W3Xq1CnRRSWy1ahRQ/Xr19dvv/1Woi2hsbGx6t+/v/bt26eIiAi99tprBR7Zkf2mwNf/Q84twN5epOWU87x9cXFxuvbaa/O9XdeuXfM9jGnkyJGKjo4u1GP5S0JCgoYNG6bMzEx16dJFvXv3LtXH9yiFCzqfLQLR63bt2qlSpUo6evSo5s2b55nM/umnn7Rv3z6FhISU6GLN9No7eu0bvXai197R6xKg134VyPfYaWlpGjx4sA4ePKj69evnewqN4qDZ3tFs32i2E832jmYXk2W9NvLkLNu3b/ccqhQSEqKYmBh17dpVrVq1CvLIiu+JJ57Q77//rpCQEA0ePFjdu3fPc0iBrz+qSy65RG+99ZZSU1P1ww8/6LvvvtO3336r2NhYbdq0Sffcc4/mzJmjhg0bSso6TObYsWNq3bq1386NVBQnTpzQkCFDdOLECVWuXFnPPPOMbr755jyH7tx8883at29fsR7DW0BzrvN1uFhhTZ061RPZzp07q3///mrUqJHjNvPmzctzzih/KY2faVFkX/G5Q4cOJXpxnVP2FtKcYSuKtWvX6pFHHtGJEydUu3ZtTZ48Oc/hbznVrl1bP/74o8+9JuLj4z0f161bt1BjadKkic4991ydPHlS69ev91yx2FSpqakaOHCgjhw5oiZNmujFF18M3mAs23Jsm7Jly6pz586aOXOmFi1apKefflrh4eGeiytdc801XvfqMRm9ptf+QK99o9fFR69RHKNHj9aPP/6ocuXKadKkSYWeODIZzabZ/kCzfaPZxWdMsy3rdeE3E5aStLQ0jRgxQmlpabrjjjvUp08fud1uPfnkk4Xadd9ESUlJWrt2rSTpzjvvVP/+/fM9N05BW4xzCw8P13XXXafHH39cCxYs0LRp0zx/zG+//bbndtnnDivKoU2FlXNrbUFb27755hvP9zRq1Ch17tw5TxDcbrfj6tBFlfsiIDnlPLSoatWqxX6MnGJiYiRJDRs21Lhx4/JEVlKhv5/s80gV9nAaqXR+poUVGxvrifl1113nt6+bfbhafhe/8WXTpk166KGHdOLECV1yySWaM2eO18hK8uxpsWfPHq8v3Hbs2CEp64VAYUNbpkwZz9Xmly5dqiNHjhTqfsHy4osvauvWrapYsaImTZpUpN9Nv7PoSsu26t69uyTp+PHj+vbbb5WRkeGZzM7vcMMzAb2m1/mh1/mj18FDr1FUCxYs0McffyxJevXVVz0X4juT0WyanR+anT+aHTzGNLskvTaw2cZNZk+aNEnbt29XtWrVNHz4cA0aNEh169ZVYmJigSdnN13Ow2EKOkzkr7/+0oYNGwr8Gunp6QWuu+GGGzznJs1+MpDkORfStm3bCr11tbCqVKni+Tjnub1ySkhI8Hx8xRVX5HubTZs2lWgjxZYtWwpcl30ITVhYWIEXoSiq7O+pZcuWBR4ytnLlykJ9rewXCUV5EVAaP9PCWrNmjaSsoyd8ne9p586deuSRR3T77bd7LpqSn6SkJP3xxx+Ssi7IUBTbt2/Xgw8+qJMnT+qGG27Qhx9+WKifbfZVyE+dOuX1b3DVqlWSpNatWxdpXPfff7+krBdWRd17w9vfvb/NnTtXn376qVwul8aOHeu3v5lisyi0tmrRooXnhewXX3yhNWvW6MCBAypXrpzat28f5NEVD72m1/mh13nRayd6Xcx/KBWxsbF65plnJGX9nnfo0CHII/IPmk2z80Oz86LZTmdts5nMDpzNmzdr6tSpkrK2iFWsWFERERGeqx5HR0dr6dKlwRxiseQ8/Ca/iyRI0muvveZ5csx5EvyjR4+qR48euuyyy7Rp06YCHyP7DzLnRUG6dOkiKWuvudmzZ+d7v9TUVN12223q1q1boQMhZZ2nKPvKswUdapN9fisp/+/71KlTeuWVVzyHzni7KnFBvv/+e88Tc04pKSlavHixpKwo5hxLSWT/Xxb0/7ho0SLPHgLZ4yhI9iE1vq5UnVNJf6Y5Xxz4utK5L9kXaI2KivK5dbFGjRqei7rm3LMhtylTpsjtdsvlcqlz586FHsupU6c0ePBgHT9+XFdccYUmTZpU6MPemjdvrubNm0v6+6rRuX333Xee77dHjx6FHpeUdejivffeKykrZpMmTfJ5n8zMTH344YeevVz9dXhZQbZt26bnn39ekjRgwADddNNNAX08U2zfvl0dO3ZUkyZNtGvXrmAP54yUvXf2ihUr9Nlnn0mSOnbsGNy9BEuAXtPr/NDrvOh1FnoN0504cUIDBw7UqVOndPXVV2vYsGHBHpLf0GyanR+anRfNzkKz7WLMZHZKSopGjhzpubJyu3btPOtatWql22+/XZL07LPPFvgkZ6qGDRt6DueYMWOG4uLiPOv27t2rYcOGafHixerTp4+krK2wu3fvliRVqlRJYWFhSk1N1aOPPqpVq1YpMzPTc/+0tDTFxMR4zgOWc0v7tdde6zn8YuzYsZo9e7bjggW7du1S//79tWvXLu3evTvfw3kKEhIS4tkjb+vWrfneJudWzQkTJjiuNLtp0yb17NlT5557rufwmS1bthQ5ttWrV9fDDz+s2NhYz+eOHTumESNGaP/+/ZLk15PrZ28dXbFihWcrYvZjTp48WcOHD9eQIUM8n9+4cWO+X+fPP//0bG1v0aJFoR+/pD/TnIfeLV26VOnp6UpNTS3WhSyyf+YXXHCBz9tWrFjR8/u9cuVKjRgxwvF3fPToUY0ePVqzZs2SlHXV5tyHP06aNMkTxdwv7t5//33t2bNH5cqV04QJE4p8/rYnnnhCLpdLa9as0XPPPef4ua5du1aPP/64pKyL3hV0gQlfXz87XhMnTlSvXr307bff5tlj49ChQ5ozZ466deuml19+WRkZGapXr56effbZIj9mYR09elQDBw5USkqKbrjhBg0cODBgj1UkAd5qPHPmTN1xxx1er4AN37p06aLw8HCdOnVKX331lSR5en0motf0Ojd6Ta/ptQ8W7eVlG7fbrREjRmjPnj2qWbOmJkyY4Lkoog1oNs3OjWbTbJrthWV7ZhtzAcg33nhDu3btUsWKFT2HQeU0YsQIrVy5UocOHdKoUaM0ceLEIIyyeMqUKaNHH31Uzz33nPbt26eOHTsqKipKaWlpSkhIUIUKFTR58mSFh4dr+vTpcrvd6t69u2rVqqW5c+dqzJgx6tOnj/bt26d+/fqpXLlynifM/fv3e07if9NNN+WJyrhx4zRgwAD9+OOPGjVqlMaOHauaNWvq6NGjnvNdZV+Jtnbt2kX6vq688kr9/PPP+vnnn5WWlua4srGUFZBOnTpp0aJF+uabb3Tdddepdu3aSk5OVnJysho2bKi3335bMTExWr16tfbu3asbb7xRV155pd56661CjeH+++/X7Nmz1aVLF9WqVUsRERGKj4/3PIHdeeedBV5htzgGDRqk7777TikpKerXr59q1Kihc845RwkJCUpPT9fIkSN111136f3339eRI0f03HPPafr06Xr22WcdT9A5D7XxdfhQTiX9mdatW1f16tXTnj179Omnn2revHnKzMzUvHnzfJ73Krfs35/Cnndr4MCB+vPPPzV//nzNnz9fCxYs8JwXKz4+3rPnQ/fu3TVixIg893e73crIyPB8nNOMGTM8Hz/wwAM+x3LzzTdr8ODBnuWrrrpKzz33nJ5//nl98sknmjt3rurUqaMTJ054DlW7/PLLNXr06EJ9r7mFh4dr8uTJeueddzR16lTPVdKzr5JdtmxZHTx40HEetooVK+q+++5Tnz59AnqBnlmzZnn2YPjjjz88h1MW5MILLyydUz4FMJjr16/XmDFjNGrUKCUmJhZqSz7yV7lyZbVt29azh0PdunWL9JxmGnpNr+k1vabXRWTgG1xk2bRpk+eo5vT0dPXt29fnfbLPXXwmoNk0m2bTbJpdBJb12ojJ7I0bN3r+UEaMGJHvhRsqV66sp59+WkOGDNGSJUsUExOjrl27lvJIi++ee+5RZGSkZsyYoR07dmjfvn2qVq2a7r33Xv373//2nDtnyJAh+vjjj3X06FGVLVtWoaGhOv/88/X5558rJiZGixcv1s6dOxUfHy+Xy6WqVauqVatW6tKlS75Xu42MjNTMmTMVExOjL774Qr/++qv++OMPhYeHq3Hjxrr++uvVu3fvIkdWytqCNm3aNB0/flzr16/P9wIF48aNU9OmTfX5558rLi5O8fHxOv/889WnTx/16tVL5cuXV69evRQbG6uVK1fq9OnTnivtFkZERIQ+/fRTTZs2TUuWLFF8fLzCwsLUrFkz3XnnnUU+XMWX5s2ba/bs2Zo0aZI2btyogwcPqkKFCrrxxht13333ec7XNnbsWL3yyivat2+fUlNT8zxRZr+wrF+/fpEvwFKSn2loaKjefPNNvfDCC9q2bZtcLpeioqKK9USefche7otjFKRMmTIaM2aM/vnPf+rTTz/V5s2blZCQoJCQENWoUUMtW7bUnXfeWeA577zJDtRff/3lOY+bN/m9qLj77rt16aWXasaMGVq/fr3i4+N17rnn6qqrrlKXLl3UvXv3Eu3NEhISogEDBujuu+/2nF84NjZWycnJSk1NVWRkpKKiotSsWTO1bt1a119/falcZT7nOcNy7tFSkKL8fZZIAGNbuXJlzZ49W82bNz+jNoyaqnv37o4LPwb6kL1Ao9f0Oid6Ta/ptQ+WvTm2Sc7fmYMHDzou3GcLmk2zc6LZNJtme2FZr13u3JtfgCLo3Lmzdu7cqc6dO+v1118vlceMj4/XLbfcIinratxn2iHtycnJatOmjVJSUvT444+rX79+wR4SYBxXrO/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792pOKAkAMFZaCX4AAID73MzqxMRE9ezZU6mpqXrhhRc0depUVaxYUb1799aaNWtceDQAANjH7e/V69ev1/33368WLVrooosu0p133qmVK1eW8qPIn8/v9/tP294AACiCsmHFv+1x24enAQAwgJtZPXz4cC1atEhLlixR1apVJUlpaWlq166d6tatq+nTpxd/5wAAnCHczOrExER17dpV9erVU//+/VWuXDnNmDFDS5cu1cyZM3XRRRcVf+eFxJHbAAAAAACj+P1+LV68WK1btw4UtiUpPDxc7dq104oVK3TgwIEg9hAAAEyZMkUnTpzQa6+9pmuvvVatWrXSpEmTVL16dU2YMOG09IHiNgDAWJlliv8DAADc51ZW79ixQwcPHlTDhg1zbWvYsKEyMzO1YcMGlx4VAAD2cCurTRmI5us/AMBYFKkBADCbW1m9Z88eSVJUVFSubVmXZV0HAADkz62sLuxA9KWXXupOB/4/ygYAAGNR3AYAwGxuZXVa2snTWIWHh+faFhZ2cvHQY8eOubNzAAAsYvtANGUDAIC5cn+fBQAAJnEpq8uWLStJSk/PfSarrMJ3RESEOzsHAMAmLmW1KQPRFLcBAOaiuA0AgNlcyuoaNWpIkvbu3Ztr2+7dux3XAQAABbB8IJriNgDAXBS3AQAwm0tZXbNmTUVFRSkhISHXtoSEBIWFhalRo0bu7BwAAJtYPhBNcRsAYC6K2wAAmM3FrG7fvr3i4uK0a9euwJfjI0eO6PPPP1ebNm1UoUIF93YOAIAtLB+IDnF9DwAAAAAAFFH//v0VERGhfv366auvvtKyZcvUv39/HT16VEOHDg129wAAOOO1b99e3333nXbt2hW47HQPRPv8fr/f9b0AAFAMvguLf1v/L6XXDwAAkDe3s3rTpk0aN26cVq5cKb/fr4svvlhDhw5Vs2bNir9jAADOIG5mdUpKiv7xj38oJiZGAwYMUFhYmN544w2tWbNGH374oRo0aFD8nRcSxW0AgLF8lxb/tv5VpdcPAACQN7IaAACzuZ3VwR6IprgNADCWr3Xxb+v/rvT6AQAA8kZWAwBgNtuzmhNKAgDMxQklAQAwG1kNAIDZLM9qitsAAHNZHsIAAHgeWQ0AgNksz2qK2wAAc1kewgAAeB5ZDQCA2SzP6pBgdwAAAAAAAAAAgKLiyG0AgLksH2EGAMDzyGoAAMxmeVZT3AYAmMvyEAYAwPPIagAAzGZ5VlPcBgCYy/IQBgDA88hqAADMZnlWU9wGAJjL8hAGAMDzyGoAAMxmeVZT3AYAmMvyEAYAwPPIagAAzGZ5VlPcBgCYKyzYHQAAAAUiqwEAMJvlWR0S7A4AAAAAAAAAAFBUFLeL6LrrrlPjxo31zDPPBLsrRnr88cfVuHFj9e7dWydOnCjx/c2ZM0eNGzdW48aNtX379lLo4UnDhw9X48aN1alTp1K7z1PZsGGDmjdvrr/97W9atmzZadsv4GnhJfjBGYusLhhZnT+yGigGshrFQFYXjKzOH1kNFIPlWX3GLEvSuHHjAreHh4crMjJS559/vm644QZ17txZERERp6l3dnj99dc1d+5cnX322XrppZcUGhoa7C4ZpVGjRhozZowefvhhDRo0SLNnz1bdunWD0pdVq1Zp+fLl6tq1q2JiYop1H1988YXi4uL0yy+/aO/evQoLC1N0dLRatGihHj166KKLLjrlfWzbtk3Dhw/XqlWrAvdZ3P5kl5qaqhkzZuiLL77Q9u3bFRoaqlq1aunaa6/Vbbfdptq1a+d7240bN2r69OlauXKlUlJSFBoaqjp16ujaa6/VPffco6ioqBL3b9++fZo/f76WL1+uhIQEpaam6ujRo4qIiFB0dLQaNWqkNm3aqGPHjgW+D/Xq1UsrV65UkyZNNG/evELtu0uXLlq/fr0uu+wyvfPOOyV+LK7zSJiidJDV7iOrC0ZW50ZWk9WnRFafUchq95HVBSOrcyOryepTsjyrz5jidpaoqCidddZZuS4/cuSIduzYoa+//lpff/213njjDU2ZMkUNGzYMQi+9Jz4+XhMnTpTP59Po0aNVuXLlYHfJSDfeeKO6du2quLg4Pfroo5o1a5bKlDn9f4YffPCB5s2bp8suu6zIoZeWlqZBgwZpyZIlkqSIiAidc845ysjI0LZt27R161bNmTNHDzzwgIYMGZLv/cyePVujR4/W4cOHS/RYcoqPj9eDDz6oXbt2qUyZMjr77LN17NgxbdiwQRs2bNDMmTP15ptv6uKLL85127lz52rEiBE6ceJE4LYZGRlKSEhQQkKCZs+erf/+97+n/FCfn8zMTE2dOlXTpk0LPO5y5cqpevXqqlWrllJTU7V582Zt3rxZixYt0gsvvKB///vfateuXUmeEm+zPISRN7LaHWR14ZDVfyGryepCIavPSGS1O8jqwiGr/0JWk9WFYnlWn3HF7c6dO+uJJ57Ic9uxY8f0ySefKDY2VomJierTp48+/fRTVahQ4TT30lsyMzM1cuRIZWRkqHPnzrriiiuC3SWjDRs2TP/3f/+n+Ph4vfvuu7rnnntOex9++eWXYt927NixgQAePHiw+vTpo/Dwk++U+/fv15gxY/TRRx9p6tSpaty4sTp27Oi4/d69e/XUU09p8eLFCgsL0xVXXKHvv/+++A8mm507d+qBBx7Qnj17dNNNN+lf//qXatSoIUlat26dhg4dqi1btmjo0KFatGhRoN9Z27MCuGPHjnrqqadUtWpVSdKmTZv02GOP6ddff9WDDz6oBQsWFPkIlPT0dA0YMEBffvmlJKlt27bq3bu3WrRo4fgglpycrHnz5mnatGnau3evBg4cqBdffFE33XRTSZ8eb7I8hJE3srr0kdVFQ1aT1RJZXWhk9RmJrC59ZHXRkNVktURWF5rlWc2a29mUK1dO//znP/Xiiy9KklJSUvTRRx8FuVfm+/jjj7Vu3TqVKVOmwBFFnFS1alX16dNHkvTKK6/o4MGDp3X/Bw8e1NatW4t122PHjunDDz+UJLVv314PPvigI8iqVKmiZ599VmeffbYk6f333891H08//bQWL16sevXq6YMPPlCXLl2K1Ze8TJo0SXv27NFVV12lF154IRDAktS0aVO99NJLuuyyy3TVVVdp165djtuOGzdOJ06cUNOmTTVu3LhAAEtS/fr19eqrryoiIkJJSUnFmnYUGxurL7/8Uj6fTyNHjtRrr72myy+/PNcRBrVq1VK/fv300UcfKSYmRn6/X08//bT+/PPPIu/TCpavDYaiI6uLh6wuGrKarCari4CsRg5kdfGQ1UVDVpPVZHURWJ7VRT5ye/v27br++uslSTNnzlS9evU0ZcoULVmyRLt27VJUVJRat26tQYMGqVatWpKkjz76SLNmzdKWLVuUnp6uevXq6c4771S3bt0C97tv3z516tRJu3bt0vXXX68pU6bkuf9HH31Un3zyiSpXrqxPPvlENWvWLM7jLlDbtm1VrVo17dmzR6tWrdJdd92V73W//vprTZ8+Xb/99psOHTqkGjVqqE2bNurfv3+e07SkkyNZ7733nlatWqWUlBSlpaWpcuXKOv/883XzzTerc+fO8vl8uW7n9/v16aef6uOPP9avv/6q1NRUhYeHq0aNGrrgggvUrVs3tW7dOs99ZmRk6OOPP9b8+fP122+/6eDBg6pYsaLOO+88tW/fXnfccYfjzbQo3nzzTUlSu3btAm++eVm8eLHmzp2rtWvXas+ePZKk6tWr65JLLlHPnj3VokWLQu8z++vw9ddf1yWXXKJXX31VS5YsCazndN5556lbt2667bbb8nw+s/v99981depUrVixQqmpqapYsaKaN2+ufv366cILL8zzNrt27dI777yjpUuXKjExUUeOHFFERITq1aunG264Qb169VL58uXzvO1tt92mqVOn6sCBA/rwww/Vu3fvQj/27Ir6nF533XVKSkoKtLO/thMSEk65vx07dujYsWOSpJYtW+Z5nZCQEDVt2lRJSUnasmVLru0nTpzQrbfeqhEjRigiIkLr168/9QMthIMHD2ru3LmSpEceeUQhIbnH7po0aZJngCYnJ2v58uWSpLvvvjvPKW1nnXWWbrrpJs2ePVtxcXG6//77C923hIQEvfvuu5Kknj17qmfPnqe8zbnnnqsXXnhB77zzjtq0aeP6WoU5XxsFefvtt3X55Ze72p+A0xCm69ev1+DBg7VlyxYtXLhQ9evXd3+nLnMrq4cOHaoFCxYoMjJS3377bYG50alTJ23cuFFXXXVVICdKE1ldNGQ1WZ0dWZ0bWV0CHvniaxq3slr6a/3Ywnj++ed1yy23lO6D+//I6qIhq8nq7Mjq3MjqErA8q0u0LMnBgwd155136o8//lCdOnUUERGhlJQUxcXF6YcfftAnn3yiMWPGaNasWYqOjlZ0dLQSExMD0xSOHz+uO+64Q5IUGRmpZ599Vg888IC++OILLV68WDfccINjf8uXL9cnn3wiSXryySddKWxniYyM1J49ewpct+jNN9/U2LFjFRkZqerVq+vEiRPasWOHZs2apW+++UZz585VlSpVHLd5//339cwzzygzM1OhoaGqWbOmypQpox07dmjZsmVatmyZlixZovHjx+d6Exk6dKgWLlwoSSpfvrzOPvtsnThxQklJSdq6davmz5+vXr166cknn3Tcbt++ferfv79Wr17tuO2ff/6pH3/8UT/++KNmzZqlGTNm5PvBIT9r1qzRhg0bJCnXh6osfr9fjz32WOD/rmzZsqpdu7aOHz+uP//8UwsWLNDChQs1YsSIAj/w5GfXrl269dZbtWXLFlWqVEk1a9bUjh07FB8fr/j4eK1YsUITJkzIN4hXrFihfv36ye/3B06IsHPnTn3xxRf69ttvNWPGDDVv3txxm19++UV9+/bV/v37JUk1atRQjRo1lJKSol9++UW//PKL5s6dq5kzZzpGKrNUrVpV1157rRYtWqTZs2cXOYSL+5zWr19foaGhSkxMlCSdc845+X5QyEv16tUDvx8/fjzf62VkZEiSY4Q3y7Bhw3TuuecWep+F9dVXXyk9PV3nnnuumjZtWqTbrlixQn6/X5J05ZVX5nu9K6+8UrNnz9bmzZu1c+dORUdHF+r+p0+fLunk/9OAAQMK3a9LLrlEl1xySaGvXxL169dXpUqV8t2+c+dO7d27V5KCsp6dW2bOnKnY2Nhc79U2Kc2s7tatmxYsWKB9+/ZpyZIl6tChQ5773LhxozZu3ChJrn1hlsjqwiKryeq8kNVOZDWCqTSzWjr5vnHgwIF895eamqqUlBRJ7r9WyOrCIavJ6ryQ1U5kNfJTomVJXnrpJVWvXl1ffvmlFi1apJUrV+rZZ5+VdHIEMOsIr2nTpunbb7/VwoUL9c0336hRo0aSpDfeeMNxf23btg28kf/nP/9xBODx48f19NNPSzo5klmaUy5ySk9PV3JysiQFRslzio+P12uvvaaJEydq+fLlWrBggVasWKGhQ4dKOjkS99577zlus3XrVj377LPKzMzUFVdcoa+++kpLlizR559/rh9++CEw6vTpp5/mOkPr4sWLtXDhwsDUixUrVuizzz7T4sWL9f333+vhhx+WJL3zzju51ll69NFHtXr1alWpUkUTJ07U6tWr9dlnn+nnn3/WK6+8oho1amjLli3q37+/MjMzi/Rcff7555KkihUr5jviFBcXFwiL3r176/vvv9dnn32mr776Sl988YUuu+wy+f1+jRkzRn/88UeR9i+dnILk9/sVFxenVatWadGiRfruu+/UuXNnSXk/n1kOHz6sYcOGBfq1cOFCffvtt/rvf/+rcuXKKS0tTZMnT3bc5sSJExo6dKj279+vs846S3PmzNHSpUv16aefavXq1XruuedUpkwZbd68WePGjcu33zfeeKOkk+tObd68uUiPubjP6RtvvBH4G5WkZ599VvPmzSv0GYErV64cGLVeuHBhILiyO3TokH7++WdJJ/+mc3IjgKWTf5OSAgG8du1a/ec//9Fdd92lHj166JFHHtHChQvzfI1nja5XqVIlzw8OWerVqxf4/bfffit035YtWyZJuvrqqxUZGVno251Ob7zxRuC1kPPn9ddfD3yIvfHGG3N9KHWVi9OnVq5cqTFjxmjUqFHq0aOHG703QmlmdatWrQJHEs2ZMyfffS5YsECSVKlSpVwD1aWFrC48spqszomszo2sLgHLpzqfDqX9vfq5557L97Uyc+bMwNrXF110Ub4D1aWBrC48spqszomszo2sLgHLs7pExe0dO3Zo0qRJjlGWf/7zn6pbt64k6csvv9SIESN09dVXB7ZXrVpV9913X+D2Ode7GTFiRGD086WXXgpcPnXqVG3dulXVqlXTv//975J0+5Tef/99HTlyRNJfb5Q5/fLLL3rmmWfUoUOHwEhwSEiIHnjggcCbzE8//eS4zZIlSwIjb08//bTjeYuIiNBTTz0VKBpkjSRnyQrWhg0bqmfPno6pThUrVtSAAQPUrVs3XXfddY5R+uXLl+vbb7+VJI0fP97RX5/PpxtuuEETJ06UdPJNa/HixYV+niTphx9+kCRdfPHFCgsLy/M6WUEdHR2tYcOGOUY0a9eurdGjR0s6OSqZdd2iSE5O1sSJEx2jihUrVtTo0aMDH6LyWqNKOvkavP766zVgwACVK1cucPmVV16pTp06Scr9//jrr79qx44dkqSHHnpIf/vb3wLbfD6funfvHrjtokWLdOLEiTz3nX1qU9bof2G5/ZwWZOTIkYqMjNSvv/6qQYMGaf369UpLS9PRo0e1evVq3XfffUpNTVWTJk0Ca6CdDr///rskqWbNmpo4caK6d++ud999VytWrNDPP/+s+fPna8iQIbr99tsDU82yZB25cqojLLJvz7rNqezcuTNw3fym4pksPT1dgwYN0p49e3TeeecpNjb2lNMRS5WLIRwZGalZs2ape/fubvTcGKWZ1SEhIerataskaenSpdq5c2ee+/z0008lSR07dlTZsmVL/TFJZHVRkNVkNVldMLK6hCz/wnw6uPG9Oj8jRozQ5s2bVbVqVU2aNKnYS2gUBlldeGQ1WU1WF4ysLiHLs7pEx8DfeOONeY6WNGzYUFu3blVERETgzSi7rBFm6eQLNPvyIllvnvfcc49mzpypLl26KCIiIjAa/cwzz+Q5HaWkjh07pq1bt2revHmaMWOGJOmaa67RNddck+f1a9Wqpfbt2+e5rV69evrjjz9yLazfu3dv3Xnnndq7d2+eS6r4fD5dcMEFSkpK0rZt2xzbskby9u/fr+PHj+dZLMh6483u448/lnTyOb/qqqvy7G+LFi3UtGlTrVu3Tp9//rnatWuX5/VyyszMDIyyZQ+inKZOnaojR47oyJEjef7x1qlTR5GRkdq3b1+ux10YzZs3V5MmTXJdHh4erg4dOuitt97SL7/8osOHD+d5hu78zqqcte7u0aNHdejQIVWsWFHSyTfSrLW4KleunOdtmzVrprlz5+rIkSPau3dvnqOWtWrVUtWqVbV37179+uuv+uc//1nYh+z6c1qQJk2a6IMPPtDUqVM1f/58ffbZZ47t1apV0wMPPKD77rsv8JydDvv27ZMkffPNN9qyZYvuuecede3aVXXr1tWuXbs0e/Zsvfbaa/r55581cOBAvfvuu4HnLmuWyKnW38q+vaCpldllTTmSTh3yxbVly5ZCz2bJa722gowePVo//fSTypcvr5dffvm0/p9KcjVMs2eRzUo7q2+55Ra98sorOnHihObOnZtrnbx169YFTq6TVQgvLWQ1WZ0TWZ03slqO25wKWV1CHvniazI3vlfnZdq0afrss88UGhqqCRMmuLLMJ1lNVudEVueNrJbjNqdCVpeQ5VldouJ248aN87w8643uvPPOy3MkOPsbYdYi+tldccUVuvPOO/XOO+9o5MiRqlChgtLT09W1a9cST29+++239fbbb5/yep07d9YzzzyT7/YLLrgg31GWrPV1staNyi48PLzADxFZI4VpaWmOy1u1aqV3331XKSkpuu222/Tggw+qTZs2jlHRvGSNjp6qiHPhhRdq3bp1WrduXYHXy27Xrl2BfsbExBR43fLlyxe4BlWFChW0b9++XI+7MC6++OJ8t2W9RjMzM5WYmKjzzz/fsb1KlSo655xz8rxt9nWS9u/f73jzCQkJKXCaTfbHWtAaWnXq1NHevXuLFZRuPqensmHDBm3atElpaWkqV66cateuHVinbt++ffrpp5/066+/6oorrij1fecnKxQ3bdqkRx99NHAki3Ty9Tl48GBFRkbq+eef16pVq7RkyZLAyVOy3ofyO0oiS/b3s6NHjxapX5IK/Hv97bffNHz48Hy3R0dH55pymuX48eOldgKR7ObNmxeYBvrcc8+pQYMGpb6PU7I8hE+H0s7qs88+W61atdJ3332X50lgspYkqVu3brHXtiOr80ZW50ZW54+sJqtPG7K6xNz6Xp3dihUrNH78eEkn15wu6d8+WZ03sjo3sjp/ZDVZfdpYntUlKm7nN9KQFU55jeZl3y4pz7WFpJNnZf3222/166+/Sjo5GvfEE0+UpLuSpKioqDxHecLCwhQZGam//e1v+vvf/57niGV2BY2yhIaG5rvt6NGjmjNnjpYsWaLExMRTnlwjyw033KC77rpLb7/9ttatW6cBAwYoPDxcF110ka644grdcMMNefZ59+7dkqT58+dr/vz5p9xPYaezSXJMQalWrVqB101JSdH777+v77//XikpKdq9e3ephUN+67fl7Ff2kb4shf1/zPk69fv9+uKLLzR//nxt2LBBe/bs0f79+/N9PecnK8iz/p+Kws3ntCCvv/66XnzxRZUtW1ZPP/20unXrFginQ4cOafr06XrllVd07733asyYMfrHP/7hep+yq1ixou6+++48t/Xs2VOvvvqq9u3bp88//zwQwlkjx+np6QXed/YPVIU9y3L2D3MHDx7M93qHDx8uMEgLum2TJk0Kvb5bly5dChXY69ev16hRoyRJ9957rzp27Fio+y91BX8uQiG4kdXdunXTd999p82bN+vnn392fBnKWpKkJEdtk9UFI6v/QlbnjayW4zanQlaXEFldYm5+r5ZOvhcNHTpUJ06cUPv27dW3b98S9PYksrpgZPVfyOq8kdVy3OZUyOoSsjyrS1TcPtX6MCVZPyYiIkLXX3+93nzzTUnS5ZdfXuAZRwurc+fOpVIkL47k5GTde++9gekLPp9P0dHRql27duANPzk5Oc+RaUl64okn1KlTJ7355pv69ttvdeTIEf3www/64YcfNHnyZDVv3lyjRo1yhHHWKFh+Hz5yynkm6YJkH2Er6A1p2bJlGjhwoA4dOiTp5ChdjRo1VLFixcBrZNOmTad8A8xPQfvOPmJYWgGVnp6ugQMHasmSJYHLoqKiVLdu3cC0tv379wdOnlKQrBHHwo5WZnH7Oc3Ppk2bNGnSJEnSgAEDdPvttzu2V6xYUQ8//LAOHDigGTNm6Pnnn9d11113WqbcZH3or1evXr5rB4aFhenCCy/UN998Ezgbefbbnur/IWvNQKngD3DZZV8DsKAjCS699NLACTiymzx5sl5++eVC7au0HDx4UAMHDtTRo0d12WWX6dFHHz2t+3ewfIT5dHAjq2+88UZVqVJF+/fv15w5cwLF7Z9//llJSUkKCQkp0YmfyeqCkdWnRlaT1RJZfdqQ1SXm5vfqrHVed+/erXr16uW55EZxkNUFI6tPjawmqyWy+rSxPKtLVNx20/r16wPTnEJCQjRv3jx16dJFrVu3DnLPiu9f//qXtmzZopCQEA0aNEjdunXLNQVn+PDhiouLy/c+LrroIk2aNElpaWn64Ycf9N133wXeUH788Ufdfvvt+vDDDwPTHMqXL68DBw6oTZs2Gjt2rKuPLy+HDh3SkCFDdOjQIUVGRuqpp57Sddddl2vaz3XXXaekpKRi7aOgcM2+7VRTzQrrjTfeCARwp06d1K9fPzVs2NBxnTlz5uhf//pXqewvp9PxnOZnwYIFgWAv6CR87dq104wZM7R3714tX7483xPIlKZatWoFZnoUpEqVKpKcgVq7dm1Jpz7CIvvzeaopg1kiIyNVt25dbd26VStXrizUbYLJ7/dr2LBh+uOPP3TWWWdpwoQJKlPG2KhAkJQtW1adOnXSzJkztXDhQj355JMKDw8PnLTpiiuuKPDoH5OR1WR1aSCr80ZWlw6yGkURGxurn376SRUqVAjOOq8uIKvJ6tJAVueNrC4dZPXpVfjhxNMoPT1djz/+uNLT0/XPf/5T99xzj/x+v0aMGFHgFAKTpaSkaPny5ZKkW2+9Vf369ctzban8RpdzCg8P15VXXqnHHntMn3zyiaZNm6by5cvryJEjevXVVwPXy1qHrCjTogor+8hufiNzX331VeAxjRo1Sp06dcoVFn6/33Em6qLKeYKR7LJPS6pevXqx95Fd1jSVBg0aaNy4cbkCWFKhH0/WmlSFnYojnZ7nND9Zz3VYWJiioqLyvV72bTt37iz1fuQla/277du3F3i9rPeQ7CctyToq48CBAwWerTn7CHBBJ3vJ6brrrpN0cq2+rLNPm+q1117TkiVLFBYWpokTJ5ba302xWX5WZy/r1q2bpJN/U998841OnDgRKG7ffPPNQexZ8ZHVZHVeyOrSQ1aXDrIahfXJJ5/o3XfflSQ9//zzgRP7eRlZTVbnhawuPWR16SCrTy8ji9svv/yy1q9frxo1amjYsGEaOHCg6tSpo+TkZD333HPB7l6xZJ9K07Jlyzyvc/jwYa1atSrf+8jIyMh329VXXx1Y3zT7G0WzZs0kSevWrSv0SGxhVa1aNfB79nXCstuxY0fg90svvTTP6/z4448lGrSIj4/Pd1vWGkhhYWH5nuCiqLIeU4sWLfKdbvb1118X6r6yQq0ob3Sn4znNT1ZwpaenFxiu2fuY15nf3dCmTRtJJ9eAW7FiRZ7XyczM1Nq1ayXJcRKUVq1aBUZRv/nmm3z38e2330qSLrnkknzP6J2Xu+66KzCV79lnny3SGnIF/d2Xtu+++04TJ06UdPKImOKeDLBUWR7CXva3v/0t8He0YMECLVu2TLt27VKFChXUrl27IPeueMhqsjovZHXpIatLjqxGYW3YsEFPPfWUJKlPnz5q3759kHtUOshqsjovZHXpIatLjqw+/Ywrbv/yyy+BM5eOGjVKlStXVkREROAMy3FxcVq8eHEwu1gs2afu5HUCBkl64YUXAm+c2RfY379/v7p3765LLrlEP/74Y777yPpjzX7Ckc6dO0s6Oao2a9asPG+Xlpamm2++WV27di10eEgn1zzKWoMpv2k6WWtlSXk/7qNHj2r06NGB9awKOgNyfr7//nv98ccfuS4/fvy4Fi1aJOlkYGbvS0lk/V/m9/+4cOHCwNEEWf3IT9ZoaGGn4kglf06zf3A41VnVc7rssssCv2cdoZmX//u//wvsq0WLFkXaR3FdfPHFgaNRXnvttTyvs3DhwsBRB9mndFWtWlXXXnutJGnGjBl5fijdtGmTvvjiC0kFTx3LS61atTR48GBJ0vLly/XUU0/pxIkTp7zdwoULNWPGDEklW2uxMJKTkzV06FBlZmaqS5cu6tmzp6v7KzQXQ3j79u2Kj49XfHx84EPl77//HrjsdJxIxuuyjt7+8ssvNXv2bElShw4dinTUjEnIarI6L2R16SGrS+ZMzGoUz6FDhzRgwAAdPXpUl19+uR555JFgd6nUkNVkdV7I6tJDVpcMWR0cRhW3jx8/ruHDhwfO4pz9j6R169a65ZZbJEkjR47M9w3QVA0aNAiMtE2fPl2JiYmBbdu2bdMjjzyiRYsW6Z577pF0csR28+bNkk6uZRQWFqa0tDQNHjxY3377rTIzMwO3T09P17x58wJrimUflW/VqpWuvvpqSdLYsWM1a9Ysx8kQNm3apH79+mnTpk3avHlznlOB8hMSEhIYpcsatcsp+wjohAkTAidqkE6Ogvbs2VPly5fXlVdeKenkaHFRgzg6OloPPfSQ40QGBw4c0OOPPx4oWPXq1atI91mQrFD58ssvAyOOWfucMmWKhg0bpiFDhgQuX716dZ738+effwZG5osyFaekz2n2aXuLFy9WRkaG0tLSCnWSjKuvvjrQ1wkTJuh///ufI7Cypu998MEHkk4uTZA1ha80zJ07V02bNlXTpk1zrbPl8/k0fPhw+Xw+LVu2TE888URgCpnf79dnn32mkSNHSjr5YeKqq65y3P7RRx9VeHi4Nm7cqKFDhzqOmli7dq369++vjIwMXXDBBYGjOYqiT58+6tGjhyTpww8/VNeuXfXZZ5851iiTTn5g/uSTT3TnnXdqyJAhOnr0qGrUqKExY8YUeZ+FlZaWpoEDByo1NVXnn39+YDDRCC6G8Msvv6zu3bure/fugdfswIEDA5edrql/Xta5c2eFh4fr6NGj+uyzzyQpkNVeRFaT1TmR1UVHVrvjTM1qFJ3f79fjjz+urVu3qmbNmpowYULgJIs2IKvJ6pzI6qIjq91BVgePUauZv/TSS9q0aZMqV64cmEKV3eOPP66vv/5ae/bs0ahRozR58uQg9LJ4ypQpo8GDB+vpp59WUlKSOnTooJiYGKWnp2vHjh2qVKmSpkyZovDwcL311lvy+/3q1q2batWqpY8++khjxozRPffco6SkJPXt21cVKlQIvJnu3Lkz8Id87bXX5gqccePG6cEHH9RPP/2kUaNGaezYsapZs6b2798fGG2LiIjQCy+8EDgBQGG1bNlSa9as0Zo1a5Senu44i7J0Mlw6duyohQsX6quvvtKVV16p2rVrKzU1VampqWrQoIFeffVVzZs3T0uXLtW2bdvUtm1btWzZMnD24FPp06ePZs2apc6dO6tWrVqKiIjQ9u3bA+Fw66236oYbbijS4yrIwIED9d133+n48ePq27evzjrrLJUrV047duxQRkaGhg8frh49eui///2v9u3bp6efflpvvfWWRo4cqVatWgXuJ/tUuaKMwpb0Oa1Tp07gRAwffPCB5syZo8zMTM2ZM8cxpSgvISEhmjJlih544AGtX79eI0eO1OjRo1W7dm1lZmYqKSkpEObXXnutRo0a5bh9fHy8nnzyScdl2dfDu//++x2voQsuuMCxFFFmZmZgZDavKUht2rTRU089pdGjR2v27Nn65JNPdPbZZ2vv3r3at2+fpJPrgI0fPz7XiG3dunU1adIkDRo0SP/3f/+nL7/8UjExMTp+/Hhg+uN5552nKVOmFOsLgs/n0zPPPKMLLrhAL730khISEjRw4ECFhYWpevXqKl++vPbs2RPop3TyaIbbbrtNDzzwgGO6YmlbtGiRfvnlF0nSvn37Ah8W8hMdHR2YYeM6F8M0NjZWsbGx7u3gDBAZGakbbrghcMRJnTp1TttRJW4gq8lqspqsJquLwSNffM8UP/74Y2Cmc0ZGhnr37n3K22StfewFZDVZTVaT1WR1MVie1cYUt1evXq3p06dLOlnEzuukEJGRkXryySc1ZMgQff7555o3b566dOlymntafLfffruioqI0ffp0JSQkKCkpSTVq1NAdd9yhe++9N7B21ZAhQ/Tuu+9q//79Klu2rEJDQ3XOOefo448/1rx587Ro0SJt3LhR27dvl8/nU/Xq1dW6dWt17txZ7du3z/XmEhUVpZkzZ2revHlasGCBfvvtN/3xxx8KDw9Xo0aNdNVVV6lXr15FDmDp5BSUadOm6eDBg1q5cmVgVDO7cePGqUmTJvr444+VmJio7du365xzztE999yjO++8UxUrVtSdd96pDRs26Ouvv9axY8eKtO5SRESEPvjgA02bNk2ff/65tm/frrCwMJ1//vm69dZbizzV5VSaNm2qWbNm6eWXX9bq1au1e/duVapUSW3bttXdd98dWPtt7NixGj16tJKSkpSWlpbrzORZHzrr1atX5JO7lOQ5DQ0N1cSJE/XMM89o3bp18vl8iomJKfSZ02vWrBkIuEWLFmndunXatm2bQkNDFR0drWbNmunmm28OTEfK7siRI4H12vKyadMmR7sor4MsPXv2VPPmzfX2229rxYoV2r59u8qWLatLLrlEN910k3r06BGY9pfTtddeq4ULF+rNN9/UsmXLlJycrLCwMF100UVq37697rzzzhJPw7v11lvVqVOnwBrFv/32m/bu3avdu3erSpUqatSokRo1aqSrr75a11xzTYEnGCkt2dcfS05OdqxlmJfTemJfy0PYBt26dXOcSNLtqX5uI6vJ6uzI6tzIarI6F7LaKNlfK7t373acCNAWZDVZnR1ZnRtZTVbnYnlW+/xFWYEdyEOnTp20ceNGderUSS+++OJp2ef27dt1/fXXSzp55m+vTYNPTU3VNddco+PHj+uxxx5T3759g90lwEi+Dae+Tn78jUqvH8jf+vXr1aVLF4WEhOiLL74o1hc6uI+sLjqyGigcshooHWR10ZHVQOHYntVGrbkNb8oKkM8++8xxNl/k73//+5+OHz+uypUrn3KqCnBGs3xtMBtkzbq65pprKGwbjKwuOrIaKCSyGigVZHXRkdVAIVme1RS3UWL/+Mc/1LRpU6Wnp2vixInB7o7xUlNTNW3aNEnSQw89pEqVKgW5R4DBLA9hr4uPj9cnn3wiSbrvvvuC3BsUhKwuGrIaKAKyGigVZHXRkNVAEVie1RS3UWIhISH697//rTJlymjevHm5zrYLp7Fjx+rgwYNq1qyZ7rzzzmB3BzBbWAl+4KrVq1froYceUkZGhtq3b+/pE0meCcjqoiGrgSIgq4FSQVYXDVkNFIHlWU1xG6Xiwgsv1KBBg+T3+zV8+HAdOHAg2F0y0uLFizVnzhxVrFhRL7zwgsqUMeacroCZLB9h9qJOnTqpbdu2uuOOO5SSkqL69evrmWeeCXa3UAhkdeGQ1UARkdVAqSGrC4esBorI8qymuI1Sc//99+vmm29WUlKSBg8erBMnTgS7S0bZuHGjhg0bpjJlymjixImqW7dusLsEmM/yEPaiHTt26M8//1SNGjXUs2dPvf/++4qMjAx2t1BIZHXByGqgGMhqoFSR1QUjq4FisDyrfX6/3x/sTgAAkBdfCT7L+0NLrx8AACBvZDUAAGazPauZuwEAMFdoSY5U8UAKAwDgdWQ1AABmszyrC13c3rXroKPtz3Ru92Ucc7SPHirnaFdI3+po/5lSL/D72Zn/59i29vf2jvbFYS852ovXDHW0O0T1cbTf+366o92rzpWO9stLv3O0B55f19Ees/QPR3t4i2qB359fudex7V+toh3tF+NTHO0hV/3N0X5j01pHu/dlnR3tuNS5jvY/LhnhaH9z7FlHu3Xj9xztDSG3BX6vd/ZPjm17wy9ytCMjnY8lPTzK0S4TnuOgfp/P0fTn+NvwnTjiaB8/UMHRLn9io6Odsr1R4PfaIQsc29au+4ejfXHF0Y72ku+fdLRvrHWbo/3Bkg8c7TuaOB/71E/jHe3+lzkf+/iF+xztR67764953GfOF/9jf3fO03hp6XFHe2DHGEf7zTWJjvY97do62nO3LHG0O7d52NH+fu8kR/vSFtMc7d+P3Rv4vW797x3bUn2XOdqVa+x0tDNCazjaoeVy/CeHON/Ucs778KU5H/uRo2Ud7YpHnX9bO3af52jXSVsc+P2XLe0c25qHvuRofxbvfB+4qWJvR3vGDzMc7d41r3C0J3/vPEHLoAZnO9qx3+9wtEdc6jz79rPL/3pPfOJK5+tn7Brn39ajbRo62lN/3+Bo33+V8z3vwz8/dbS7XvaIo/3tobGOdqu/OR/rBn8vR7v+uasCv+8Jbe7YFll1t6OdHl7N0S4TnuPNPsS5mlWNGpyV3CQ5s1qZzv+/9DTn/194mvO1unu/8/8/Ov2v98rfdjrfRy/QfEd7abIzz9pEvOVof5rs/Bv9e9VXnNv3PuTcfpbzve2rI86sb1NrrqO95kSXwO/Nolc4tiWGON/7YiKd78MHyjjfpytGHHa0M8o486xMmYLz8VSyv3f6cnygysyxYlyIz7kvv5z7KuKupUzn+3r6cef7eviJVEd7776qgd+rn3Bm52+JztdEM//7jvaitT0d7U7lHnW0X1k+wdEeFN3W0R625FtHe3wj52eue5fscrSnt/zrsdy51Pm8vtvW+bn0gXjnZ5Yp1zV2tP+d+Juj/USbWx3tmQdmOdo9Wo5ztL9Ld2bUZY0WO9qJvusCv59d05mNh0PrONoRFY462pmhEY52SFG/b+QI70y/80UUoiK8Jov4AszMGSmZ6Y728ePOsxaVO7HH0d59oLqjHX3C+f+0cXdTR7ux/nrev092fq5oXfZtR/vzHXc72u2rvOxoz9/l/DzWKdr5Hvb5Aed72I2133W0V6Tf4Wi3rPW1o705tE3g93Orb3FsOxB+rqNdsaLze1dmGefrO0dUk9WGyZXVRZTr7+hEWuD3Y8ed30siMpyf83buc37Wr5Xm/L64Jsl5cujmac7X8dwE599Jd/8gR/uFNZMd7X+Vb+NoP7RqWeD3qWed5djWY43ze8kHDZyv61t/d77u/3eh87E8kOK8/ZSLWjvasZnOTHmk2RBH+6OyLzja/2j0YeD3tRW6ObadXyvB0U6t4PysX7mi833bH+58LLneOnP8p2akO/+IwzL2O9oHDkc62lX01+eanYfPcWw7K8z5vWPHUWfe1S7vfCw7Mxo52jUqJDn37XN+Z6oU4VwTPD3U+X5TJqzg7xIOp3oeTjj/dg4erexoV/Y7+7rzkLOvOZ+L5CPO56JWjuci5fhfz0V0pRyfHf3O57lSxX2OdkZoFUc7NOd3Kp/zseX6Xn3c+Xrff9iZ/VUPOh/Lr382cbQvOvDX6/ej33s4tvU47nztj17jrC+MCm3laPf+2fm9eUaU87vvP9btc7Tnn+t8bLf84Xzss//mvP19qX99H5l6qfMz+7NHljvawy/p72j/z+fM6lsaO79/rC57l6N98dmrHO0d4c7vxmdFOT9bHi3j/NxRruxf77eZoc7324Je2qdCTpccR24DAAyWduqr5Cvi1FcBAAAlRFYDAGA2u7Oa4jYAwGB2hzAAAN5HVgMAYDa7s5riNgDAYCUJYQAA4D6yGgAAs9md1T6/P+fqPgAAmMGnpFNfKR9+nX3qKwEAgBIhqwEAMJvtWc2R2wAAg9k9wgwAgPeR1QAAmM3urKa4DQAwmN0hDACA95HVAACYze6sDgl2BwAAAAAAAAAAKCqO3AYAGCw92B0AAAAFIqsBADCb3VlNcRsAYDC7p08BAOB9ZDUAAGazO6spbgMADGZ3CAMA4H1kNQAAZrM7qyluAwAMZncIAwDgfWQ1AABmszurOaEkAMBgaSX4AQAA7jMnqzMyMjR+/Hg1adJEQ4YMKfX7BwDAm8zJajdQ3AYAGMzuEAYAwPvMyOrk5GT16tVLc+bMkd/vL9X7BgDA28zIarcGoSluAwAAAAA8bdiwYQoNDVVcXFywuwIAAHJwcxCaNbcBAAbjCGwAAMxmRlb36NFDHTp0UJkyfMUFAMAp+FmdfRD6qquuKtX7JvkBAAYLfggDAICCmJHVnTp1CnYXAAAwVPCz2s1BaIrbAACDBT+EAQBAQchqAADMFvysdnMQmuI2AMBgwQ9hAABQEPeyOj09XYmJiQVep1KlSoqOjnatDwAAeJ/d36spbgMADGZ3CAMA4H3uZXVKSoo6duxY4HW6du2q2NhY1/oAAID3uZPVpgxCU9wGABgsPdgdAAAABXIvq2NiYpSQkODa/QMAcGZwJ6tNGYSmuA0AAAAAAAAAKDRTBqEpbgMADMayJAAAmI2sBgDAbHZnNcVtAIDB7A5hAAC8L/hZnZaWluvIsQMHDig+Pl6SFBUVpZiYmGB0DQAAAwQ/q91EcRsAYDC7QxgAAO8Lflbv3LlT3bt3d1y2dOlSLV26VBInnQQAnOmCm9VuD0JT3AYAGCz4X5gBAEBBgp/Vpqz5CQCAmYKb1W4PQlPcBgAYLPhfmAEAQEHIagAAzBbcrHZ7EJriNgDAYHxhBgDAbGQ1AABmszurQ4LdAQAAAAAAAAAAioojtwEABrN7hBkAAO8jqwEAMJvdWU1xGwBgMLtDGAAA7yOrAQAwm91ZTXEbAGAwu0MYAADvI6sBADCb3VlNcRsAYLD0YHcAAAAUiKwGAMBsdmc1xW0AgMHsHmEGAMD7yGoAAMxmd1ZT3AYAGMzuEAYAwPvIagAAzGZ3VlPcBgAYzO4QBgDA+8hqAADMZndWhwS7AwAAAAAAAAAAFBVHbgMADGb3CDMAAN5HVgMAYDa7s5riNgDAYHaHMAAA3kdWAwBgNruzmuI2AMBgdocwAADeR1YDAGA2u7Oa4jYAwGB2hzAAAN5HVgMAYDa7s5riNgDAYHaHMAAA3kdWAwBgNruzmuI2AMBgdocwAADeR1YDAGA2u7M6JNgdAAAAAAAAAACgqDhyGwBgMLtHmAEA8D6yGgAAs9md1RS3AQAGS3d9D+vXr9f48eO1evVqZWRkqFmzZho4cKAuu+wy1/cNAID3uZ/VAACgJOzOap/f7/cHuxMAAOTFp6hi39av1FNeJzExUV27dlW9evXUv39/lStXTjNmzNDSpUs1c+ZMXXTRRcXePwAAZwK3sxoAAJSM7VlNcRsAYKxQVSr2bU/o4CmvM3z4cC1atEhLlixR1apVJUlpaWlq166d6tatq+nTpxd7/wAAnAnczmoAAFAytmc1y5IAAIwVogzX7tvv92vx4sVq3bp1oLAtSeHh4WrXrp3eeecdHThwQJUrV3atDwAAeJ2bWQ0AAErO9qymuA0AMJabIbxjxw4dPHhQDRs2zLWtYcOGyszM1IYNG3TppZe61gcAALzO9i/MAAB4ne1ZHRLsDgAAEAx79uyRJEVF5V5/LOuyrOsAAAAAAADzcOQ2AMBYbo4wp6WlSTq5DElOYWFhkqRjx465tn8AAGxg+9FgAAB4ne1ZTXEbAGCs3GXn0lO2bFlJUnp6eq5tWYXviIgIF3sAAID3uZnVAACg5GzPaorbAABjuRnCNWrUkCTt3bs317bdu3c7rgMAAPJm+xdmAAC8zvasprgNADCWmyFcs2ZNRUVFKSEhIde2hIQEhYWFqVGjRi72AAAA77P9CzMAAF5ne1ZT3AYAGMvtEG7fvr3i4uK0a9euwFHaR44c0eeff642bdqoQoUKLvcAAABvs/0LMwAAXmd7Vvv8fr8/2J0AACAvjeQr9m036NTxlpKSon/84x+KiYnRgAEDFBYWpjfeeENr1qzRhx9+qAYNGhR7/wAAnAnczmoAAFAytmd1SLA7AABAsJx11ll67733VKNGDQ0dOlQPP/ywfD6f3n77bQrbAAAAAAAYjiO3AQDGuqAEI8xrPTDCDACA15HVAACYzfasZs1tAICxbF8bDAAAryOrAQAwm+1ZTXEbAGAs20MYAACvI6sBADCb7VlNcRsAYCzbQxgAAK8jqwEAMJvtWU1xGwBgLNtDGAAAryOrAQAwm+1ZTXEbAGAs20MYAACvI6sBADCb7VkdEuwOAAAAAAAAAABQVBy5DQAwlu0jzAAAeB1ZDQCA2WzPaorbAABj2R7CAAB4HVkNAIDZbM9qitsAAGPZHsIAAHgdWQ0AgNlsz2qK2wAAY9kewgAAeB1ZDQCA2WzPaorbAABjhQW7AwAAoEBkNQAAZrM9qyluAwCMZfsIMwAAXkdWAwBgNtuzmuI2AMBYtocwAABeR1YDAGA227M6JNgdAAAAAAAAAACgqDhyGwBgLNtHmAEA8DqyGgAAs9me1RS3AQDGsj2EAQDwOrIaAACz2Z7VFLcBAMayPYQBAPA6shoAALPZntUUtwEAxrI9hAEA8DqyGgAAs9me1RS3AQDGsj2EAQDwOrIaAACz2Z7VFLcBAMayPYQBAPA6U7L64MGDmjJliubPn6/U1FTVrl1bbdq00UMPPaSoqKhgdw8AgKAxJav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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "processor.plot_peaks() " + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "9ba38766-0f30-4dc0-a72f-106662fe86eb", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + " var py_version = '3.4.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " var reloading = false;\n", + " var Bokeh = root.Bokeh;\n", + "\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks;\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + " if (js_modules == null) js_modules = [];\n", + " if (js_exports == null) js_exports = {};\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + "\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " if (!reloading) {\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " }\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + " window._bokeh_on_load = on_load\n", + "\n", + " function on_error() {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " var skip = [];\n", + " if (window.requirejs) {\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", + " } else {\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", + " }\n", + "\n", + " var existing_stylesheets = []\n", + " var links = document.getElementsByTagName('link')\n", + " for (var i = 0; i < links.length; i++) {\n", + " var link = links[i]\n", + " if (link.href != null) {\n", + "\texisting_stylesheets.push(link.href)\n", + " }\n", + " }\n", + " for (var i = 0; i < css_urls.length; i++) {\n", + " var url = css_urls[i];\n", + " if (existing_stylesheets.indexOf(url) !== -1) {\n", + "\ton_load()\n", + "\tcontinue;\n", + " }\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " } var existing_scripts = []\n", + " var scripts = document.getElementsByTagName('script')\n", + " for (var i = 0; i < scripts.length; i++) {\n", + " var script = scripts[i]\n", + " if (script.src != null) {\n", + "\texisting_scripts.push(script.src)\n", + " }\n", + " }\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (var i = 0; i < js_modules.length; i++) {\n", + " var url = js_modules[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (const name in js_exports) {\n", + " var url = js_exports[name];\n", + " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", + " }\n", + " if (!js_urls.length && !js_modules.length) {\n", + " on_load()\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n", + " var js_modules = [];\n", + " var js_exports = {};\n", + " var css_urls = [];\n", + " var inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {} // ensure no trailing comma for IE\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if ((root.Bokeh !== undefined) || (force === true)) {\n", + " for (var i = 0; i < inline_js.length; i++) {\n", + "\ttry {\n", + " inline_js[i].call(root, root.Bokeh);\n", + "\t} catch(e) {\n", + "\t if (!reloading) {\n", + "\t throw e;\n", + "\t }\n", + "\t}\n", + " }\n", + " // Cache old bokeh versions\n", + " if (Bokeh != undefined && !reloading) {\n", + "\tvar NewBokeh = root.Bokeh;\n", + "\tif (Bokeh.versions === undefined) {\n", + "\t Bokeh.versions = new Map();\n", + "\t}\n", + "\tif (NewBokeh.version !== Bokeh.version) {\n", + "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + "\t}\n", + "\troot.Bokeh = Bokeh;\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " }\n", + " root._bokeh_is_initializing = false\n", + " }\n", + "\n", + " function load_or_wait() {\n", + " // Implement a backoff loop that tries to ensure we do not load multiple\n", + " // versions of Bokeh and its dependencies at the same time.\n", + " // In recent versions we use the root._bokeh_is_initializing flag\n", + " // to determine whether there is an ongoing attempt to initialize\n", + " // bokeh, however for backward compatibility we also try to ensure\n", + " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", + " // before older versions are fully initialized.\n", + " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " root._bokeh_is_initializing = false;\n", + " root._bokeh_onload_callbacks = undefined;\n", + " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", + " load_or_wait();\n", + " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", + " setTimeout(load_or_wait, 100);\n", + " } else {\n", + " root._bokeh_is_initializing = true\n", + " root._bokeh_onload_callbacks = []\n", + " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " if (!reloading && !bokeh_loaded) {\n", + "\troot.Bokeh = undefined;\n", + " }\n", + " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", + "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + "\trun_inline_js();\n", + " });\n", + " }\n", + " }\n", + " // Give older versions of the autoload script a head-start to ensure\n", + " // they initialize before we start loading newer version.\n", + " setTimeout(load_or_wait, 100)\n", + "}(window));" + ], + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.4.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif 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initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "\n", + "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n", + " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n", + "}\n", + "\n", + "\n", + " function JupyterCommManager() {\n", + " }\n", + "\n", + " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n", + " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " comm_manager.register_target(comm_id, function(comm) {\n", + " comm.on_msg(msg_handler);\n", + " });\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", + " comm.onMsg = msg_handler;\n", + " });\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " console.log(message)\n", + " var content = {data: message.data, comm_id};\n", + " var buffers = []\n", + " for (var buffer of message.buffers || []) {\n", + " buffers.push(new DataView(buffer))\n", + " }\n", + " var metadata = message.metadata || {};\n", + " var msg = {content, buffers, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " })\n", + " }\n", + " }\n", + "\n", + " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n", + " if (comm_id in window.PyViz.comms) {\n", + " return window.PyViz.comms[comm_id];\n", + " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n", + " if (msg_handler) {\n", + " comm.on_msg(msg_handler);\n", + " }\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n", + " comm.open();\n", + " if (msg_handler) {\n", + " comm.onMsg = msg_handler;\n", + " }\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " var comm_promise = google.colab.kernel.comms.open(comm_id)\n", + " comm_promise.then((comm) => {\n", + " window.PyViz.comms[comm_id] = comm;\n", + " if (msg_handler) {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " var content = {data: message.data};\n", + " var metadata = message.metadata || {comm_id};\n", + " var msg = {content, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " }) \n", + " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", + " return comm_promise.then((comm) => {\n", + " comm.send(data, metadata, buffers, disposeOnDone);\n", + " });\n", + " };\n", + " var comm = {\n", + " send: sendClosure\n", + " };\n", + " }\n", + " window.PyViz.comms[comm_id] = comm;\n", + " return comm;\n", + " }\n", + " window.PyViz.comm_manager = new JupyterCommManager();\n", + " \n", + "\n", + "\n", + "var JS_MIME_TYPE = 'application/javascript';\n", + "var HTML_MIME_TYPE = 'text/html';\n", + "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n", + "var CLASS_NAME = 'output';\n", + "\n", + "/**\n", + " * Render data to the DOM node\n", + " */\n", + "function render(props, node) {\n", + " var div = document.createElement(\"div\");\n", + " var script = document.createElement(\"script\");\n", + " node.appendChild(div);\n", + " node.appendChild(script);\n", + "}\n", + "\n", + "/**\n", + " * Handle when a new output is added\n", + " */\n", + "function handle_add_output(event, handle) {\n", + " var output_area = handle.output_area;\n", + " var output = handle.output;\n", + " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + " if (id !== undefined) {\n", + " var nchildren = toinsert.length;\n", + " var html_node = toinsert[nchildren-1].children[0];\n", + " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var scripts = [];\n", + " var nodelist = html_node.querySelectorAll(\"script\");\n", + " for (var i in nodelist) {\n", + " if (nodelist.hasOwnProperty(i)) {\n", + " scripts.push(nodelist[i])\n", + " }\n", + " }\n", + "\n", + " scripts.forEach( function (oldScript) {\n", + " var newScript = document.createElement(\"script\");\n", + " var attrs = [];\n", + " var nodemap = oldScript.attributes;\n", + " for (var j in nodemap) {\n", + " if (nodemap.hasOwnProperty(j)) {\n", + " attrs.push(nodemap[j])\n", + " }\n", + " }\n", + " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n", + " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n", + " oldScript.parentNode.replaceChild(newScript, oldScript);\n", + " });\n", + " if (JS_MIME_TYPE in output.data) {\n", + " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n", + " }\n", + " output_area._hv_plot_id = id;\n", + " if ((window.Bokeh 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The output of all registered display_hooks is then\u001b[39;00m\n\u001b[1;32m 1273\u001b[0m \u001b[38;5;124;03m combined and returned.\u001b[39;00m\n\u001b[1;32m 1274\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1275\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mStore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrender\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/options.py:1428\u001b[0m, in \u001b[0;36mStore.render\u001b[0;34m(cls, obj)\u001b[0m\n\u001b[1;32m 1426\u001b[0m data, metadata \u001b[38;5;241m=\u001b[39m {}, {}\n\u001b[1;32m 1427\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m hooks:\n\u001b[0;32m-> 1428\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mhook\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1429\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ret \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1430\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/ipython/display_hooks.py:287\u001b[0m, in \u001b[0;36mpprint_display\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ip\u001b[38;5;241m.\u001b[39mdisplay_formatter\u001b[38;5;241m.\u001b[39mformatters[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtext/plain\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mpprint:\n\u001b[1;32m 286\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 287\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdisplay\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mraw_output\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/ipython/display_hooks.py:261\u001b[0m, in \u001b[0;36mdisplay\u001b[0;34m(obj, raw_output, **kwargs)\u001b[0m\n\u001b[1;32m 259\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, (HoloMap, DynamicMap)):\n\u001b[1;32m 260\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m option_state(obj):\n\u001b[0;32m--> 261\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[43mmap_display\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 262\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, Plot):\n\u001b[1;32m 263\u001b[0m output \u001b[38;5;241m=\u001b[39m render(obj)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/ipython/display_hooks.py:149\u001b[0m, in \u001b[0;36mdisplay_hook..wrapped\u001b[0;34m(element)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 148\u001b[0m max_frames \u001b[38;5;241m=\u001b[39m OutputSettings\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_frames\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m--> 149\u001b[0m mimebundle \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_frames\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_frames\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mimebundle \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 151\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {}, {}\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/ipython/display_hooks.py:209\u001b[0m, in \u001b[0;36mmap_display\u001b[0;34m(vmap, max_frames)\u001b[0m\n\u001b[1;32m 206\u001b[0m max_frame_warning(max_frames)\n\u001b[1;32m 207\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 209\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrender\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvmap\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/ipython/display_hooks.py:76\u001b[0m, in \u001b[0;36mrender\u001b[0;34m(obj, **kwargs)\u001b[0m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m renderer\u001b[38;5;241m.\u001b[39mfig \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpdf\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 74\u001b[0m renderer \u001b[38;5;241m=\u001b[39m renderer\u001b[38;5;241m.\u001b[39minstance(fig\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpng\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 76\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcomponents\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/plotting/renderer.py:396\u001b[0m, in \u001b[0;36mRenderer.components\u001b[0;34m(self, obj, fmt, comm, **kwargs)\u001b[0m\n\u001b[1;32m 394\u001b[0m embed \u001b[38;5;241m=\u001b[39m (\u001b[38;5;129;01mnot\u001b[39;00m (dynamic \u001b[38;5;129;01mor\u001b[39;00m streams \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwidget_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlive\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m config\u001b[38;5;241m.\u001b[39membed)\n\u001b[1;32m 395\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m embed \u001b[38;5;129;01mor\u001b[39;00m config\u001b[38;5;241m.\u001b[39mcomms \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdefault\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 396\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_render_panel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mplot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43membed\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 397\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_render_ipywidget(plot)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/plotting/renderer.py:403\u001b[0m, in \u001b[0;36mRenderer._render_panel\u001b[0;34m(self, plot, embed, comm)\u001b[0m\n\u001b[1;32m 401\u001b[0m doc \u001b[38;5;241m=\u001b[39m Document()\n\u001b[1;32m 402\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m config\u001b[38;5;241m.\u001b[39mset(embed\u001b[38;5;241m=\u001b[39membed):\n\u001b[0;32m--> 403\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mplot\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlayout\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_render_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m embed:\n\u001b[1;32m 405\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m render_model(model, comm)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/panel/viewable.py:735\u001b[0m, in \u001b[0;36mViewable._render_model\u001b[0;34m(self, doc, comm)\u001b[0m\n\u001b[1;32m 733\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m comm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 734\u001b[0m comm \u001b[38;5;241m=\u001b[39m state\u001b[38;5;241m.\u001b[39m_comm_manager\u001b[38;5;241m.\u001b[39mget_server_comm()\n\u001b[0;32m--> 735\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_root\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 737\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_design \u001b[38;5;129;01mand\u001b[39;00m 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root\u001b[38;5;241m.\u001b[39mstyles:\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/panel/viewable.py:666\u001b[0m, in \u001b[0;36mRenderable.get_root\u001b[0;34m(self, doc, comm, preprocess)\u001b[0m\n\u001b[1;32m 664\u001b[0m wrapper \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_design\u001b[38;5;241m.\u001b[39m_wrapper(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m 665\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m wrapper \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28mself\u001b[39m:\n\u001b[0;32m--> 666\u001b[0m root \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 667\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preprocess:\n\u001b[1;32m 668\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_preprocess(root)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/panel/layout/base.py:185\u001b[0m, in \u001b[0;36mPanel._get_model\u001b[0;34m(self, doc, root, parent, comm)\u001b[0m\n\u001b[1;32m 183\u001b[0m root \u001b[38;5;241m=\u001b[39m root \u001b[38;5;129;01mor\u001b[39;00m model\n\u001b[1;32m 184\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_models[root\u001b[38;5;241m.\u001b[39mref[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mid\u001b[39m\u001b[38;5;124m'\u001b[39m]] \u001b[38;5;241m=\u001b[39m (model, parent)\n\u001b[0;32m--> 185\u001b[0m objects, _ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_objects\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 186\u001b[0m props \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_properties(doc)\n\u001b[1;32m 187\u001b[0m props[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_property_mapping[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobjects\u001b[39m\u001b[38;5;124m'\u001b[39m]] \u001b[38;5;241m=\u001b[39m objects\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/panel/layout/base.py:167\u001b[0m, in \u001b[0;36mPanel._get_objects\u001b[0;34m(self, model, old_objects, doc, root, comm)\u001b[0m\n\u001b[1;32m 165\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 167\u001b[0m child \u001b[38;5;241m=\u001b[39m \u001b[43mpane\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 168\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m RerenderError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m e\u001b[38;5;241m.\u001b[39mlayout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39mlayout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m:\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/panel/pane/holoviews.py:429\u001b[0m, in \u001b[0;36mHoloViews._get_model\u001b[0;34m(self, doc, root, parent, comm)\u001b[0m\n\u001b[1;32m 427\u001b[0m plot \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobject\n\u001b[1;32m 428\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 429\u001b[0m plot \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_render\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 431\u001b[0m plot\u001b[38;5;241m.\u001b[39mpane \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 432\u001b[0m backend \u001b[38;5;241m=\u001b[39m plot\u001b[38;5;241m.\u001b[39mrenderer\u001b[38;5;241m.\u001b[39mbackend\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/panel/pane/holoviews.py:525\u001b[0m, in \u001b[0;36mHoloViews._render\u001b[0;34m(self, doc, comm, root)\u001b[0m\n\u001b[1;32m 522\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m comm:\n\u001b[1;32m 523\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcomm\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m comm\n\u001b[0;32m--> 525\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mobject\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/plotting/bokeh/renderer.py:68\u001b[0m, in \u001b[0;36mBokehRenderer.get_plot\u001b[0;34m(self_or_cls, obj, doc, renderer, **kwargs)\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[38;5;129m@bothmethod\u001b[39m\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_plot\u001b[39m(self_or_cls, obj, doc\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, renderer\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 63\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 64\u001b[0m \u001b[38;5;124;03m Given a HoloViews Viewable return a corresponding plot instance.\u001b[39;00m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;124;03m Allows supplying a document attach the plot to, useful when\u001b[39;00m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;124;03m combining the bokeh model with another plot.\u001b[39;00m\n\u001b[1;32m 67\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 68\u001b[0m plot \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m plot\u001b[38;5;241m.\u001b[39mdocument \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 70\u001b[0m plot\u001b[38;5;241m.\u001b[39mdocument \u001b[38;5;241m=\u001b[39m Document() \u001b[38;5;28;01mif\u001b[39;00m self_or_cls\u001b[38;5;241m.\u001b[39mnotebook_context \u001b[38;5;28;01melse\u001b[39;00m curdoc()\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/plotting/renderer.py:216\u001b[0m, in \u001b[0;36mRenderer.get_plot\u001b[0;34m(self_or_cls, obj, doc, renderer, comm, **kwargs)\u001b[0m\n\u001b[1;32m 213\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SkipRendering(msg\u001b[38;5;241m.\u001b[39mformat(dims\u001b[38;5;241m=\u001b[39mdims))\n\u001b[1;32m 215\u001b[0m \u001b[38;5;66;03m# Initialize DynamicMaps with first data item\u001b[39;00m\n\u001b[0;32m--> 216\u001b[0m \u001b[43minitialize_dynamic\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m renderer:\n\u001b[1;32m 219\u001b[0m renderer \u001b[38;5;241m=\u001b[39m self_or_cls\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/plotting/util.py:270\u001b[0m, in \u001b[0;36minitialize_dynamic\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m 269\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(dmap):\n\u001b[0;32m--> 270\u001b[0m \u001b[43mdmap\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdmap\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_initial_key\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/spaces.py:1216\u001b[0m, in \u001b[0;36mDynamicMap.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1214\u001b[0m \u001b[38;5;66;03m# Not a cross product and nothing cached so compute element.\u001b[39;00m\n\u001b[1;32m 1215\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cache \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: \u001b[38;5;28;01mreturn\u001b[39;00m cache\n\u001b[0;32m-> 1216\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_callback\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mtuple_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data_slice:\n\u001b[1;32m 1218\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataslice(val, data_slice)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/spaces.py:983\u001b[0m, in \u001b[0;36mDynamicMap._execute_callback\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 980\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_memoization_hash_\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m hash_items\n\u001b[1;32m 982\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m dynamicmap_memoization(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcallback, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstreams):\n\u001b[0;32m--> 983\u001b[0m retval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcallback\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 984\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_style(retval)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/spaces.py:581\u001b[0m, in \u001b[0;36mCallable.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 578\u001b[0m args, kwargs \u001b[38;5;241m=\u001b[39m (), \u001b[38;5;28mdict\u001b[39m(pos_kwargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 580\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 581\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcallable\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 582\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n\u001b[1;32m 583\u001b[0m \u001b[38;5;66;03m# KeyError is caught separately because it is used to signal\u001b[39;00m\n\u001b[1;32m 584\u001b[0m \u001b[38;5;66;03m# invalid keys on DynamicMap and should not warn\u001b[39;00m\n\u001b[1;32m 585\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/util/__init__.py:1038\u001b[0m, in \u001b[0;36mDynamic._dynamic_operation..dynamic_operation\u001b[0;34m(*key, **kwargs)\u001b[0m\n\u001b[1;32m 1037\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdynamic_operation\u001b[39m(\u001b[38;5;241m*\u001b[39mkey, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1038\u001b[0m key, obj \u001b[38;5;241m=\u001b[39m \u001b[43mresolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1039\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m apply(obj, \u001b[38;5;241m*\u001b[39mkey, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/util/__init__.py:1027\u001b[0m, in \u001b[0;36mDynamic._dynamic_operation..resolve\u001b[0;34m(key, kwargs)\u001b[0m\n\u001b[1;32m 1025\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(map_obj, DynamicMap) \u001b[38;5;129;01mand\u001b[39;00m map_obj\u001b[38;5;241m.\u001b[39m_posarg_keys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m key:\n\u001b[1;32m 1026\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(kwargs[k] \u001b[38;5;28;01mfor\u001b[39;00m k \u001b[38;5;129;01min\u001b[39;00m map_obj\u001b[38;5;241m.\u001b[39m_posarg_keys)\n\u001b[0;32m-> 1027\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m key, \u001b[43mmap_obj\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/spaces.py:1216\u001b[0m, in \u001b[0;36mDynamicMap.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1214\u001b[0m \u001b[38;5;66;03m# Not a cross product and nothing cached so compute element.\u001b[39;00m\n\u001b[1;32m 1215\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cache \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: \u001b[38;5;28;01mreturn\u001b[39;00m cache\n\u001b[0;32m-> 1216\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_callback\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mtuple_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data_slice:\n\u001b[1;32m 1218\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataslice(val, data_slice)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/spaces.py:983\u001b[0m, in \u001b[0;36mDynamicMap._execute_callback\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 980\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_memoization_hash_\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m hash_items\n\u001b[1;32m 982\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m dynamicmap_memoization(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcallback, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstreams):\n\u001b[0;32m--> 983\u001b[0m retval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcallback\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 984\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_style(retval)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/spaces.py:581\u001b[0m, in \u001b[0;36mCallable.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 578\u001b[0m args, kwargs \u001b[38;5;241m=\u001b[39m (), \u001b[38;5;28mdict\u001b[39m(pos_kwargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 580\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 581\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcallable\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 582\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n\u001b[1;32m 583\u001b[0m \u001b[38;5;66;03m# KeyError is caught separately because it is used to signal\u001b[39;00m\n\u001b[1;32m 584\u001b[0m \u001b[38;5;66;03m# invalid keys on DynamicMap and should not warn\u001b[39;00m\n\u001b[1;32m 585\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/data/__init__.py:995\u001b[0m, in \u001b[0;36mDataset.groupby..load_subset\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m 993\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m drop_dim \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minterface\u001b[38;5;241m.\u001b[39mgridded:\n\u001b[1;32m 994\u001b[0m data \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mcolumns()\n\u001b[0;32m--> 995\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mgroup_type\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mgroup_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/element/raster.py:314\u001b[0m, in \u001b[0;36mImage.__init__\u001b[0;34m(self, data, kdims, vdims, bounds, extents, xdensity, ydensity, rtol, **params)\u001b[0m\n\u001b[1;32m 312\u001b[0m xdensity \u001b[38;5;241m=\u001b[39m xdensity \u001b[38;5;28;01mif\u001b[39;00m xdensity \u001b[38;5;28;01melse\u001b[39;00m util\u001b[38;5;241m.\u001b[39mcompute_density(l, r, dim1, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_time_unit)\n\u001b[1;32m 313\u001b[0m ydensity \u001b[38;5;241m=\u001b[39m ydensity \u001b[38;5;28;01mif\u001b[39;00m ydensity \u001b[38;5;28;01melse\u001b[39;00m util\u001b[38;5;241m.\u001b[39mcompute_density(b, t, dim2, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_time_unit)\n\u001b[0;32m--> 314\u001b[0m \u001b[43mSheetCoordinateSystem\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbounds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxdensity\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mydensity\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 315\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m non_finite:\n\u001b[1;32m 316\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbounds \u001b[38;5;241m=\u001b[39m BoundingBox(points\u001b[38;5;241m=\u001b[39m((np\u001b[38;5;241m.\u001b[39mnan, np\u001b[38;5;241m.\u001b[39mnan), (np\u001b[38;5;241m.\u001b[39mnan, np\u001b[38;5;241m.\u001b[39mnan)))\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/sheetcoords.py:166\u001b[0m, in \u001b[0;36mSheetCoordinateSystem.__init__\u001b[0;34m(self, bounds, xdensity, ydensity)\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__set_ydensity(ydensity \u001b[38;5;129;01mor\u001b[39;00m xdensity)\n\u001b[1;32m 164\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlbrt \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(bounds\u001b[38;5;241m.\u001b[39mlbrt())\n\u001b[0;32m--> 166\u001b[0m r1,r2,c1,c2 \u001b[38;5;241m=\u001b[39m \u001b[43mSlice\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_boundsspec2slicespec\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlbrt\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 167\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__shape \u001b[38;5;241m=\u001b[39m (r2\u001b[38;5;241m-\u001b[39mr1,c2\u001b[38;5;241m-\u001b[39mc1)\n", + "File \u001b[0;32m~/anaconda3/envs/ubermagdev_numpy/lib/python3.9/site-packages/holoviews/core/sheetcoords.py:519\u001b[0m, in \u001b[0;36mSlice._boundsspec2slicespec\u001b[0;34m(boundsspec, scs)\u001b[0m\n\u001b[1;32m 516\u001b[0m b_m,r_m \u001b[38;5;241m=\u001b[39m scs\u001b[38;5;241m.\u001b[39msheet2matrix(r,b)\n\u001b[1;32m 518\u001b[0m l_idx \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(np\u001b[38;5;241m.\u001b[39mceil(l_m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m0.5\u001b[39m))\n\u001b[0;32m--> 519\u001b[0m t_idx \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mceil\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt_m\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 520\u001b[0m r_idx \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(np\u001b[38;5;241m.\u001b[39mfloor(r_m\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m0.5\u001b[39m))\n\u001b[1;32m 521\u001b[0m b_idx \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(np\u001b[38;5;241m.\u001b[39mfloor(b_m\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m0.5\u001b[39m))\n", + "\u001b[0;31mValueError\u001b[0m: cannot convert float NaN to integer" + ] + }, + { + "data": { + "text/plain": [ + ":DynamicMap [t,z]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "processor.inverse_fft(peak_index=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "516e3150-e7ec-4675-8e74-92b24482cca6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.19" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/micromagneticdata/ringdown_analysis.py b/micromagneticdata/ringdown_analysis.py new file mode 100644 index 0000000..5dfa2f8 --- /dev/null +++ b/micromagneticdata/ringdown_analysis.py @@ -0,0 +1,287 @@ +import holoviews as hv +import matplotlib.pyplot as plt +import numpy as np +import scipy.fft +import scipy.signal +import xarray as xr + + +class RingdownAnalysis: + def __init__(self, data, init_data=None): + """ + data: micromagneticdata from Ubermag simulations + init_data: initial field data. + """ + self.data = data + self.init_data = init_data + self.time_values = self.data.table.data["t"].values + + self.diff_xarr = None + self.freq = None + self.power_spa = None + self.power_ave = None + self.power_phase = None + self.peaks = None + + def select_subregion(self, subregion="both"): + """ + Dynamically selects the field orientation for a given subregion + and stores the result. + subregion: The subregion to process (e.g., 'both', 'bottom', 'top', etc.). + """ + if subregion == "both" or subregion is None: + init_field_subregion = self.init_data[-1].orientation.to_xarray() + time_drive = self.data.register_callback(lambda field: field.orientation) + else: + init_field_subregion = self.init_data[-1][subregion].orientation.to_xarray() + time_drive = self.data.register_callback( + lambda field: field[subregion].orientation + ) + time_drive_xarr = time_drive.to_xarray() + self.diff_xarr = time_drive_xarr - init_field_subregion + + def fft_analysis1(self, subregion="both"): + """ + FFT analysis on the system or a specific subregion and stores the results. + subregion: The subregion to process (e.g., 'both', 'bottom', 'top', etc.). + """ + self.select_subregion(subregion) + self.freq = np.fft.rfftfreq( + self.diff_xarr.values.shape[0], d=self.diff_xarr["t"].values[0] + ) + fft_np = np.fft.rfft(self.diff_xarr.values, axis=0, norm="ortho") + fft = xr.DataArray( + fft_np, + coords={ + "freq_t": self.freq, + "x": self.diff_xarr["x"], + "y": self.diff_xarr["y"], + "z": self.diff_xarr["z"], + "vdims": self.diff_xarr["vdims"], + }, + dims=["freq_t", "x", "y", "z", "vdims"], + ) + + self.power_spa = np.abs(fft) ** 2 + self.power_phase = np.arctan2(fft.imag, fft.real) + self.power_ave = self.power_spa.mean(axis=(1, 2, 3)) + + def fft_analysis(self): + """ + Performs FFT analysis on the system, converts the data into xarray. + returns power_spa, power_phase and power_ave in np.arrays + Stores the results in the instance variables. + """ + init_field = self.init_data + time_drive = self.data.register_callback(lambda field: field.orientation) + time_drive_xarr = time_drive.to_xarray() + self.diff_xarr = time_drive_xarr - init_field[-1].orientation.to_xarray() + self.freq = np.fft.rfftfreq( + self.diff_xarr.values.shape[0], d=self.diff_xarr["t"].values[0] + ) + fft_np = np.fft.rfft(self.diff_xarr.values, axis=0, norm="ortho") + fft = xr.DataArray( + fft_np, + coords={ + "freq_t": self.freq, + "x": self.diff_xarr["x"], + "y": self.diff_xarr["y"], + "z": self.diff_xarr["z"], + "vdims": self.diff_xarr["vdims"], + }, + dims=["freq_t", "x", "y", "z", "vdims"], + ) + + self.power_spa = np.abs(fft) ** 2 + self.power_phase = np.arctan2(fft.imag, fft.real) + self.power_ave = self.power_spa.mean(axis=(1, 2, 3)) + + def find_peaks(self, prominence=1e-5, axis=0): + """ + Finds the peaks in a selected 1D slice of the power spectral density (PSD). + + prominence: Prominence of the peaks. + axis: The axis or index to select a 1D slice of the power_ave + array for peak detection. + return: Indices of the peaks and their corresponding frequency values. + """ + if self.power_ave is None or self.freq is None: + raise ValueError( + "FFT analysis not performed yet. Run fft_analysis() first." + ) + if len(self.power_ave.shape) > 1: + power_ave_1d = self.power_ave.isel(vdims=axis) + else: + power_ave_1d = self.power_ave + peaks, _ = scipy.signal.find_peaks(power_ave_1d, prominence=prominence) + self.peaks = peaks + + def plot_peaks(self): + """ + Plots the amplitude, phase and overlay at the frequencies corresponding + to detected peaks. + """ + if self.peaks is None: + raise ValueError("No peaks detected. Run find_peaks() first.") + + if self.power_spa is None or self.power_phase is None or self.freq is None: + raise ValueError( + "FFT analysis not performed yet. Run fft_analysis() first." + ) + + for peak_freq_idx in self.peaks: + frequency_value = self.freq[peak_freq_idx] + power_spa_at_freq_idx = self.power_spa[peak_freq_idx] + phase_at_freq_idx = self.power_phase[peak_freq_idx] + + fig, axs = plt.subplots(3, 3, figsize=(15, 10)) + for i, ax in enumerate(axs[0, :]): + amplitude_data = power_spa_at_freq_idx[:, :, 0, i] + im = ax.imshow( + amplitude_data.T, cmap="coolwarm", aspect="equal", origin="lower" + ) + ax.set_title( + f'{["mx", "my", "mz"][i]} ' + f'Amplitude at {frequency_value/1e9:.2f} GHz' + ) + ax.set_xticks([]) + ax.set_yticks([]) + plt.colorbar(im, ax=ax) + for i, ax in enumerate(axs[1, :]): + phase_data = phase_at_freq_idx[:, :, 0, i] + im = ax.imshow( + phase_data.T, cmap="twilight", aspect="equal", origin="lower" + ) + ax.set_title( + f'{["mx", "my", "mz"][i]} Phase at {frequency_value/1e9:.2f} GHz' + ) + ax.set_xticks([]) + ax.set_yticks([]) + plt.colorbar(im, ax=ax) + for i, ax in enumerate(axs[2, :]): + phase_data = phase_at_freq_idx[:, :, 0, i] + amplitude_data = power_spa_at_freq_idx[:, :, 0, i] + im = ax.imshow( + phase_data.T, + cmap="hsv", + aspect="equal", + origin="lower", + alpha=amplitude_data.T / amplitude_data.T.max(), + ) + ax.set_title( + f'{["mx", "my", "mz"][i]} Phase (alpha)' + f' at {frequency_value/1e9:.2f} GHz' + ) + ax.set_xticks([]) + ax.set_yticks([]) + plt.colorbar(im, ax=ax) + + plt.tight_layout() + plt.show() + + def inverse_fft(self, peak_index=-1, width=0.001, factor=1): + """ + inverse FFT for a selected frequency range based on the specified peak. + peak_index: Index of the frequency peak, default is last index + width: The width around the peak to include in the frequency range. + scale_factor: The scaling factor to apply when creating the mode_xr DataArray. + """ + if self.peaks is None or self.freq is None: + raise ValueError( + "No peaks detected or FFT analysis not performed. " + "Run fft_analysis() and find_peaks() first." + ) + freq_of_interest = self.freq[self.peaks] + first_peak = freq_of_interest[peak_index] + lower_bound = first_peak - width + upper_bound = first_peak + width + + fft_mode = np.zeros_like(self.power_spa) + for i in range(len(self.freq)): + if lower_bound <= self.freq[i] <= upper_bound: + fft_mode[i] = self.power_spa[i] + + mode = np.fft.irfft(fft_mode, axis=0) + scale_factor = 1 / mode.max() * factor + + init_field = self.init_data[-1].orientation.array + mode_xr = xr.DataArray( + scale_factor * mode + init_field, + coords={ + "t": self.diff_xarr["t"].values, + "x": self.diff_xarr["x"], + "y": self.diff_xarr["y"], + "z": self.diff_xarr["z"], + "vdims": self.diff_xarr["vdims"], + }, + dims=["t", "x", "y", "z", "vdims"], + name="mode_xr", + ) + + hv.extension("bokeh") + img = hv.Dataset(mode_xr.sel(vdims="z")).to( + hv.Image, kdims=["x", "y"], dynamic=True + ) + img.opts( + colorbar=True, + cmap="coolwarm", + frame_width=500, + aspect="equal", + clim=(-1, 1), + ) + return img + + def extract_mz_subregion(self, subregion="both"): + """ + Extracts the mean magnetisation along the z-axis for a given + subregion or whole system. + + subregion: The subregion to process (e.g., 'both', 'bottom', 'top', etc.). + return: An array of mz for the subregion. + """ + + def extract_mz(field): + return ( + field.orientation.mean()[2] + if subregion == "both" + else field[subregion].orientation.mean()[2] + ) + + mz_values = np.array( + [extract_mz(self.data[i]) for i in range(len(self.time_values))] + ) + return mz_values + + def spatially_averaged_psd(self, subregion="both"): + """ + Calculates the spatially averaged PSD using FFT for the whole + system or a subregion. + + subregion: The subregion to process (e.g., 'whole', 'bottom', 'top', etc.). + return: A tuple of (frequency, magnitude) for the PSD. + """ + mz_values = self.extract_mz_subregion(subregion=subregion) + sample_spacing = self.time_values[1] - self.time_values[0] + magnitude = np.abs(scipy.fft.rfft(mz_values) ** 2) + frequency = scipy.fft.rfftfreq(len(mz_values), sample_spacing) + return frequency, magnitude + + def plot_magnetisation(self, subregions, xlabel="t (nm)", ylabel=""): + """ + Plots the magnetisation values for multiple subregions. + + subregions: A list of subregion names to plot. + title: The title of the plot. + xlabel: The label for the x-axis. + ylabel: The label for the y-axis. + """ + fig, ax = plt.subplots(figsize=(10, 6)) + + for subregion in subregions: + mz_values = self.extract_mz_subregion(subregion) + ax.plot(self.time_values / 1e9, mz_values, label=subregion) + + ax.set_xlabel(xlabel) + ax.set_ylabel(ylabel) + ax.legend() + plt.show() From 25cbc9464c7dee8aa156dedffd843b2930853c79 Mon Sep 17 00:00:00 2001 From: Kauser Zulfiqar Date: Thu, 12 Dec 2024 13:56:33 +0100 Subject: [PATCH 2/4] mode trajectory class for SAF system --- micromagneticdata/mode_trajectory.py | 210 +++++++++++++++++++++++++++ 1 file changed, 210 insertions(+) create mode 100644 micromagneticdata/mode_trajectory.py diff --git a/micromagneticdata/mode_trajectory.py b/micromagneticdata/mode_trajectory.py new file mode 100644 index 0000000..391a57d --- /dev/null +++ b/micromagneticdata/mode_trajectory.py @@ -0,0 +1,210 @@ +import discretisedfield as df +import holoviews as hv +import numpy as np +import pandas as pd + +hv.extension("bokeh", logo=False) + + +def saf_mesh(): + Lx = 64e-9 + Ly = 40e-9 + Lz = 1e-9 + cell = (1e-9, 1e-9, 1e-9) + region = df.Region(p1=(-Lx / 2, -Ly / 2, 0), p2=(Lx / 2, Ly / 2, 3 * Lz)) + subregions = { + "bottom": df.Region(p1=(-Lx / 2, -Ly / 2, 0), p2=(Lx / 2, Ly / 2, Lz)), + "spacer": df.Region(p1=(-Lx / 2, -Ly / 2, Lz), p2=(Lx / 2, Ly / 2, 2 * Lz)), + "top": df.Region(p1=(-Lx / 2, -Ly / 2, 2 * Lz), p2=(Lx / 2, Ly / 2, 3 * Lz)), + "first_skyrmion_bottom_region": df.Region( + p1=(-Lx / 2, -Ly / 2, 0), p2=(0, Ly / 2, Lz) + ), + "second_skyrmion_bottom_region": df.Region( + p1=(0, -Ly / 2, 0), p2=(Lx / 2, Ly / 2, Lz) + ), + "first_skyrmion_top_region": df.Region( + p1=(-Lx / 2, -Ly / 2, 2 * Lz), p2=(0, Ly / 2, 3 * Lz) + ), + "second_skyrmion_top_region": df.Region( + p1=(0, -Ly / 2, 2 * Lz), p2=(Lx / 2, Ly / 2, 3 * Lz) + ), + } + mesh = df.Mesh(region=region, cell=cell, subregions=subregions) + return mesh + + +def region_colors(): + colours = { + "first_skyrmion_top_region": "lime", + "second_skyrmion_top_region": "lime", + "first_skyrmion_bottom_region": "lime", + "second_skyrmion_bottom_region": "lime", + } + return colours + + +def regions(): + subregions = [ + "first_skyrmion_top_region", + "second_skyrmion_top_region", + "first_skyrmion_bottom_region", + "second_skyrmion_bottom_region", + ] + return subregions + + +class SkyrmionModeTrajectory: + def __init__(self, mode_data, z_top=2.5e-9, z_bottom=5e-10): + self.mode_data = mode_data + self.mesh = saf_mesh() + self.z_top = z_top + self.z_bottom = z_bottom + self.subregions = regions() + self.colours = region_colors() + self.fields = [] + self.vortex_centres = None + + def calculate_fields(self): + """Calculate the field for each time step in the mode data.""" + time_steps = self.mode_data.sizes["t"] + self.fields = [ + df.Field(self.mesh, nvdim=3, value=self.mode_data.isel(t=t).data) + for t in range(time_steps) + ] + + def final_visual(self): + return self.get_top_layer() * self.get_top_core_positions( + ["first_skyrmion_top_region", "second_skyrmion_top_region"] + ) * self.get_top_trajectory( + ["first_skyrmion_top_region", "second_skyrmion_top_region"] + ) + self.get_bottom_layer() * self.get_bottom_core_positions( + ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] + ) * self.get_bottom_trajectory( + ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] + ) + + def get_layers(self): + return self.get_top_layer() + self.get_bottom_layer() + + def get_trajectories(self): + return self.get_top_trajectory( + ["first_skyrmion_top_region", "second_skyrmion_top_region"] + ) + self.get_bottom_trajectory( + ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] + ) + + def compute_vortex_centres(self): + """Compute the centre of mass for each subregion and each field.""" + vortex_data = [] + + for subregion in self.subregions: + for field in self.fields: + r = field[subregion].sel("z").mesh.coordinate_field() + tcd = df.tools.topological_charge_density(field[subregion].sel("z")) + centre_of_mass = (r * tcd).integrate() / tcd.integrate() + + vortex_data.append( + { + "subregion": subregion, + "pos x": float(centre_of_mass[0]), + "pos y": float(centre_of_mass[1]), + } + ) + + self.vortex_centres = pd.DataFrame(vortex_data) + + def plot_core(self, t, subregion): + """Plot the core position for a single time step and subregion.""" + if self.vortex_centres is None or self.vortex_centres.empty: + raise ValueError( + "vortex_centres is not computed. Run compute_vortex_centres first." + ) + data = self.vortex_centres[self.vortex_centres["subregion"] == subregion] + time_array = np.array(self.mode_data["t"]) + time_index = np.abs(time_array - t).argmin() + if time_index >= len(data): + return hv.Scatter([]).opts( + size=0, color=self.colours.get(subregion), marker="o" + ) + data_at_t = data.iloc[[time_index]][["pos x", "pos y"]] + return hv.Scatter(data_at_t, kdims=["pos x"], vdims=["pos y"]).opts( + size=5, color=self.colours.get(subregion), marker="o" + ) + + def get_core_positions(self, regions, title): + """ + Generate dynamic core position overlays for specified regions. + + Parameters: + - regions: List of subregions. + - title: Title for the overlay (e.g., "Top Regions" or "Bottom Regions"). + + Returns: + - Holoviews Overlay for the specified regions. + """ + overlays = [ + hv.DynamicMap( + lambda t, sub=subregion: self.plot_core(t, subregion=sub), kdims=["t"] + ).redim.values(t=self.mode_data["t"].values) + for subregion in regions + ] + return hv.Overlay(overlays).collate().opts(title=title) + + def get_bottom_core_positions(self, bottom_regions): + return self.get_core_positions(bottom_regions, "Bottom Regions") + + def get_top_layer(self): + return ( + hv.Dataset( + self.mode_data.sel(vdims="z").sel(z=self.z_top, method="nearest") + ) + .to(hv.Image, kdims=["x", "y"], dynamic=True) + .opts(width=500, cmap="coolwarm", clim=(-1, 1), title="Top Layer") + ) + + def get_bottom_layer(self): + return ( + hv.Dataset( + self.mode_data.sel(vdims="z").sel(z=self.z_bottom, method="nearest") + ) + .to(hv.Image, kdims=["x", "y"], dynamic=True) + .opts(width=500, cmap="coolwarm", clim=(-1, 1), title="Bottom Layer") + ) + + def plot_trajectories(self, top_regions, bottom_regions): + """ + Plot skyrmion trajectories for specified top and bottom regions. + """ + top_overlay = self.get_top_trajectory(top_regions) + bottom_overlay = self.get_bottom_trajectory(bottom_regions) + return top_overlay.opts(title="Top Regions") + bottom_overlay.opts( + title="Bottom Regions" + ) + + def get_top_trajectory(self, top_regions): + return hv.NdOverlay( + { + subregion: hv.Curve( + self.vortex_centres[self.vortex_centres["subregion"] == subregion][ + ["pos x", "pos y"] + ], + kdims=["pos x"], + vdims=["pos y"], + ).opts(color=self.colours.get(subregion), width=500) + for subregion in top_regions + } + ).opts(title="Top Regions", show_legend=False) + + def get_bottom_trajectory(self, bottom_regions): + return hv.NdOverlay( + { + subregion: hv.Curve( + self.vortex_centres[self.vortex_centres["subregion"] == subregion][ + ["pos x", "pos y"] + ], + kdims=["pos x"], + vdims=["pos y"], + ).opts(color=self.colours.get(subregion), width=500) + for subregion in bottom_regions + } + ).opts(title="Bottom Regions", show_legend=False) From c17eba846af3a0c3a317613524be90f4d51ffcb4 Mon Sep 17 00:00:00 2001 From: Kauser Zulfiqar Date: Sun, 15 Dec 2024 12:31:28 +0100 Subject: [PATCH 3/4] added missing function --- micromagneticdata/mode_trajectory.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/micromagneticdata/mode_trajectory.py b/micromagneticdata/mode_trajectory.py index 391a57d..80f301b 100644 --- a/micromagneticdata/mode_trajectory.py +++ b/micromagneticdata/mode_trajectory.py @@ -153,6 +153,9 @@ def get_core_positions(self, regions, title): def get_bottom_core_positions(self, bottom_regions): return self.get_core_positions(bottom_regions, "Bottom Regions") + def get_top_core_positions(self, top_regions): + return self.get_core_positions(top_regions, "Top Regions") + def get_top_layer(self): return ( hv.Dataset( From 42678b92967b9416796a574edf36f403c9bc240f Mon Sep 17 00:00:00 2001 From: Kauser Zulfiqar Date: Mon, 16 Dec 2024 14:42:26 +0100 Subject: [PATCH 4/4] one columns for final visual --- micromagneticdata/mode_trajectory.py | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/micromagneticdata/mode_trajectory.py b/micromagneticdata/mode_trajectory.py index 80f301b..1e80811 100644 --- a/micromagneticdata/mode_trajectory.py +++ b/micromagneticdata/mode_trajectory.py @@ -73,15 +73,22 @@ def calculate_fields(self): ] def final_visual(self): - return self.get_top_layer() * self.get_top_core_positions( - ["first_skyrmion_top_region", "second_skyrmion_top_region"] - ) * self.get_top_trajectory( - ["first_skyrmion_top_region", "second_skyrmion_top_region"] - ) + self.get_bottom_layer() * self.get_bottom_core_positions( - ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] - ) * self.get_bottom_trajectory( - ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] - ) + return ( + self.get_top_layer() + * self.get_top_core_positions( + ["first_skyrmion_top_region", "second_skyrmion_top_region"] + ) + * self.get_top_trajectory( + ["first_skyrmion_top_region", "second_skyrmion_top_region"] + ) + + self.get_bottom_layer() + * self.get_bottom_core_positions( + ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] + ) + * self.get_bottom_trajectory( + ["first_skyrmion_bottom_region", "second_skyrmion_bottom_region"] + ) + ).cols(1) def get_layers(self): return self.get_top_layer() + self.get_bottom_layer()