From a52788312a9944e1794d42b19f90e7d9546d7c5e Mon Sep 17 00:00:00 2001 From: vasiliev Date: Fri, 17 Jan 2025 16:21:17 +0300 Subject: [PATCH] Added empirical nonparametric scheme --- .../TableResults.ipynb | 458 +++++------------- 1 file changed, 115 insertions(+), 343 deletions(-) diff --git a/demonstration/Articles/DistributionOfVirtualEvents/TableResults.ipynb b/demonstration/Articles/DistributionOfVirtualEvents/TableResults.ipynb index f06cbf0..e499872 100644 --- a/demonstration/Articles/DistributionOfVirtualEvents/TableResults.ipynb +++ b/demonstration/Articles/DistributionOfVirtualEvents/TableResults.ipynb @@ -94,13 +94,57 @@ }, { "cell_type": "code", - "execution_count": 21, - "id": "cd96150a", + "execution_count": 120, + "id": "37e94b7a", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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" ] @@ -116,14 +160,15 @@ "\n", "sns.kdeplot(y_tr[\"time\"])\n", "for st in [stats.norm, stats.gamma, stats.laplace, stats.laplace_asymmetric, stats.rayleigh]:\n", - " params = st.fit(df[\"time\"])\n", - " sns.kdeplot(st.rvs(*params, size=1000000, random_state=42))" + " params = st.fit(y_tr[\"time\"])\n", + " sns.kdeplot(st.rvs(*params, size=100000, random_state=42))\n", + "plt.xlim((0, 4000))" ] }, { "cell_type": "code", "execution_count": null, - "id": "c5f020ba", + "id": "3baaef7b", "metadata": {}, "outputs": [], "source": [] @@ -155,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 129, "id": "fcd9acb5", "metadata": {}, "outputs": [ @@ -164,12 +209,13 @@ "output_type": "stream", "text": [ "SF IBS:0.17723, AUPRC:0.28175\n", - "SF1 IBS:0.18987, AUPRC:0.32202\n" + "SF1 IBS:0.18645, AUPRC:0.33022\n", + "SF2 IBS:0.18048, AUPRC:0.33895\n" ] }, { "data": { - "image/png": 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Vq1c7nf4OYM7dWlqXF/7vTIYnRwBw6MlL7dcTb/gbAUntVTR3PSrFW/v4kizg3fR3o0aNOqHdG64d7eGMLMuXLyc5OZkJEyZw7NgxfvWrX7Fq1Sq3uEH40u8GNNcXWzCMA/0q11l392xvkZ6eTpk5iqff3oIYFMkjN5/Gbx7/htr6Jt56+DxiIlr+fZkb6znyyq00VZWScPXDBA0d36X1LOYmjvzzDzSW5BE7705C06a78G6a8bV91VX40n21t2d3B2/uZe7as31tf26LDt7DNvftfmWRTow6MSJ6yAP/tR8fW/JnT4qjUPQbhg4dypNPPsn8+fO54447eOyxx5QvscKnWb9TK21w+kkDCA0yMT41FoAtbWRhqNz1A01VpZjihxA45IQvTZ2i0xuardJrP1JWaYXXUXu28/T7qAbbY7XS9Z8CkL3odgbd5r4KOApFf2Ts2LF8+umn3hZDoXCKxiYLW/ZoCvPpJyUCcOroBDam57FlTx6zpgy297VYLJRv1cogRJw2r9uFVULHnknp+k9pKM6lau8GQsac0bObUCh6gNqznadffr0oKa9tcR41Y4H9uLEkj6aaCk+LpFAoFAof4XB+DTV1jQxJDCMhWvPNnDgqHoAdGYXU1jfa+9blHqS+IAt9UBjBI7ufpUFn8CNi8lwAyn/+ugfSKxQKT9KvFOm8knoAautOfGw2+O537MdZ/7jBUyIpFAqFwsc4erwOgNFDmnNAR4YFMHxgBPWNZnYfOm5vr9i+CtAsyjo/Iz0hJG06OlMAtUf2Ul+Q3aO5FAqFZ+hXivToFGti7jaevOkDgjFGDbCfl21ts2K5QqFQKPo4ucWa0WVoUssUdmOsivWBnFIAzPU1VO5eC0DouJ5XSNP7BxKadiYA5b/8r8fzKRQK99OvFGmb/lxV09Dm9YG3NpfIPP6/xSq3tEKhUPRDjlkt0kMTWyrSw5K184M5ZQBU7d2Apb4W/2SBKXagS9YOm3A+ABW7fsBcV+OSORUKhfvoV4p0Va3m0pFb1H65yvgrmjN3ZP7tCrfLpFAoFArfobaukaKyBgx6HSkDQltcG5ZkU6RLASi3unWEjT/HZeub4lIIGDgKS30NlemqQItC4ev0K0U6PFhLUhIU2H6ykhaJ9C1mmqrL3S2WQtEruPrqq/nqq69atFVXV3PmmWdy7Ngxbr755jbHvfTSS2zdurVba7788su8/PLL3RrbE6699lqPr6nwDQ7nlWMBBsaHYvQztLiWFBeKyWigoKSGkqPZ1OVIdKZAgked7lIZwiZcAEDZz/9TT0YV3aa9PXvy5Mlqz3Yh/Sr9nU2R7ozB9y7l8DPXAJD1wq8Z+uAn7hRLoegVXHrppXzxxRfMnj3b3vbNN98wadIkEhMTeeONN9oct2XLlk6raPkamzdv9rYIJyCEuAZ4CDACC6WUr7a6Ph5YDIQBPwK/k1I2CiEGAe8CcYAEFkgpKx3G3QhMk1LeYD3/HLCVCjMAacAkYAdwHDjksOwEKWWfSnp86KjmttHaPxrAoNcxNDGMfVkl5P7yEwFoxhe9qfOKb10heORkDMERNBRmU3tkD4GDxrh0fkX/oL09e/LkyWrPdiH9SpG2caywfdcOAL3RH2NMMg1FOQBU7/+ZoBETPCGaQtEuuR88Sc3BX9wyd+CwUxhw1YMd9pk1axbPPPMMpaWlREREAPD5559z9dVXk5OTw3XXXceaNWu4//77KS0tJSsri1tuuYX09HQeeughXnnlFZ544gnuuOMOJk+e3GJMRkYGjz/+ONXV1RQXF3PLLbdw9dVXtyvLjz/+yEsvvURjYyPJyck8/vjj/PLLL/z3v//lhRdeAOA///kPWVlZ/PnPf+aZZ55h8+bNNDU1cckll3DDDTewadMmXn/9dQICAjh48CBCCJ577jmeeeYZAC6//HKWLl3KAw88wP79+wG45ppruOIKz7t8CSGSgCeBCUAdsF4I8Z2Uco9Dt3eBm6SUG4UQbwI3A68Bi4BFUsoPhBAPAw8D9wkhAoC/ArcDdmuBlHKuw7qPARuklFuFEBOsx+e78169TUeKNMDw5Aj2ZZXQmPkzAEGpk1wug85gJHT8OZSu+5jyLSuVIt1L8dU9+/rrr/fanl1fX8+gQYNa7Nn//Oc/gd67Z/cr1w6bj3RdfecGlIG/fdF+nPfRU26TSaHoLQQHBzNz5ky+/lrLcZufn09mZiZTpkw5oW9ERAQrV67k4osvJi0tjSeeeAIhRLtz//e//+W2227jk08+4Z133rFvjG1RXFzM888/z5tvvsmyZcs444wzeO6555g+fTrp6emUl2vuWF999RVz587lo48+AuCzzz7j448/ZvXq1fbHltu2beMvf/kLK1eu5NixY/z000889NBDdpm2bdtGWVkZy5Yt4/XXX+/2404XcA6wRkpZLKWsAj4GLrNdFEKkAIFSyo3WpiXA5UIIIzDd2t/ebj2ejvYZcG9bCwrtDbseuMfaNAmIFUJsFUJsFEKc6aJ78ymOFmrG+oHxoW1eH5YcTrCuluCKLND7ETTsZLfIEXbKeaDTUyU30Vhe5JY1FH2b9vbsM844sdiPp/bsDz/88IQ9u6xM+/LaW/fsfmWRHhDlD1QQ4G/otC9A9Lm/5vi3bwGQv+wF4uf/nxulUyg6xtH6UFNTQ2BgoMdluOSSS3jxxRe56qqr+OKLL5g7dy4Gw4n/TyeddFKX5r3//vtZu3Ytr7/+OhkZGVRXV7fbd8eOHeTm5nLdddcBYDabCQ8Px2g0cu6557Jq1SpmzJhBaWkpJ510EosXL2bv3r1s3KjpmNXV1UgpGT58OCNGjCAhIQGAYcOG2Td0GyNGjCAzM5Mbb7yR6dOnc++9beqcniARyHU4zwVO7eR6MhADlEspG1u1I6X8BvhGCHFDO2s+DDwrpbQFiliAZcDf0Nw9Vgoh0qSULbQ8IUQEENFqruQO786HyLMGoyfGBLd5fVBCGGOMOeiwEDg4Db1/kFvk8AuLJnjkaVTtXU/Fju+InHZ554MUPkVnFuPOcMU+72t7ttlsBmixZ3/zzTdMnTq11+7Z/UqRNvppCfA6ytrhSPipF9kV6ardP2GZd1e3y78qFH2BSZMmUVhYSG5uLp9//jmvvPJKm/0CAtr3GbUFTzU2NleHu+uuuwgLC2PGjBlceOGFfPnll+2Ob2pq4pRTTrE/Dqyrq6OqSvufnjdvHv/4xz+oqalhzpw59v5/+tOfOO+88wDNOhIcHMz27dvx9/e3z6vT6U4I7IqMjOSrr75i3bp1/PDDD1x88cV89dVXhIWFtSufm9CjKbI2dIDZieut22k1rk2EEJHAecBNtjYp5esOXbYJITYBU4HlrYbfBTzS1rwZGRmUlpZ2trzXaGg0U1RWi14H+UcPUZR74n5fW9/EWNMRAEqCkzienu42efThQwhgPce3reFo5CiXzJnuRnm9ia/cV1NTEzU1rktb2NO50tLSKCgoIDMzk+XLl/P8889TU1NDbW0tZrOZmpoaGhsb0ev19rWampqoq6ujpqYGs9lsP66srLSPufvuuwkLC2P69OnMnDmTL7/8kpqaGhoaGk6Qu6amhvHjx/Pii9qT/rq6Oqqrq6mpqeGCCy7g1VdfpaioiFmzZlFTU0N9fT133nknM2dqudlLSkoICgpi586d+Pn5tSmnbZ2AgAA+/vhjNm7cyNq1a5k/fz6ffPJJl/bs+vr6Nv+e0tLS2uzfrxTphkbt86Ssss7pMcm3LCTnX3cBcPiZaxhy3/vuEE2h6DXMnz+f1157jfDwcAYNGtTpRm8wGGhq0typIiMjOXDgAKeddhqrVq2y91m3bh0rV64kPj6e9957D8A+pjXjxo3joYceIjMzkyFDhrBo0SLy8/N5+umnGT9+PIWFhSxfvpxFixYBcNppp/HRRx8xY8YM6uvrueaaa3j00Uc7lbmxsZEffviBzz//nIULFzJt2jQ2bNhAbm6uNxTpHGCaw3kCcKzV9QFtXC8AwoUQBmtQ4IBW49rjQmCllLLW1iCEuBZYL6U8aG3SAW0l5V+I5kLiSDKwNjU1leRk3zVOZ+eVA5lEhhgZd9LYNvuYG+oIWaEZ/6PGn0fCIPfdj2WUIGv7cqgoIDU+vMe5qtPT09tVBnozvnRfe/fuddnTQlc9ebz44ot56623iIiIIDU1FdCMHXq9nsDAQPz8/DCZTPa1TCYTfn5+BAYGEh0dTXZ2NtOnT+enn36yj9m4ceMJe7bJZMJo1Kp7Oso9adIkHnvsMfLy8khISOCtt96y79mTJ0/mscceY8WKFSxatIjAwECmTp3KsmXLOP/886mvr+c3v/kNjz76KP7+/hgMBvvcjnIbDAaMRmOLPXvmzJnMnj2b0tJS4uPjnf59mUwmRo1y/otrv/KRjgnT3uCwYP9OejbjuHFZGusxNzivhCsUfZFLLrmETz75hEsvvdSp/tOmTeORRx7hl19+4aabbmLp0qVcfPHF1NbadTR+//vfc80113DhhRfy888/k5SURE5OTpvzxcbG8tRTT3HXXXcxZ84cdu/ezX333We/fv755xMcHMzAgdr/7lVXXcXgwYO5+OKLufTSS7nkkks6jUifOXMm8+bNY/LkyQQEBDB79mwuv/xy5s6d26HfoBtZBcwUQsQKIYKAS4GvbRellFlArRBiqrXpWjRFuAFYC1xpbb8OcKZs6xTrOEfGAXeD3X/65Db6IKUslVIednyhKfo+T95x7fF0VFj7NqaazJ2YdI1kN0ZzrMbkVnl0BiNBw0/R1j28061rKfouvrRnX3bZZSfs2bNmzerVe7auN+aoFEIMBjJXr17dJevGl6u38PoKzRjzxfPznB5nrqvh8HO/sp+7Kh2eL32LBt+Sx5dkAe/Js3fv3ja/GXvLR7otfEkW8D15duzYwbhx41o3d9lHzJr+7gHABCyWUj4jhFgB/MWaVWMc8AZa+rtfgF9LKeusgYhvo6W/ywaullKWOMx7A3CWLf2dtW0F8JKU8muHtjDg38BINHeRP0gpv3NS9sF0Y8/2NMt/PMji5emcNjKMB2+e0Wafgi9epXLnGr6qHs/gCxYwZ9pQt8pUvn01RV8tIih1EgmX39+juXxtX3UVvnRf7e3Z3cHX9jJX0BvuqYP3sM19u1+5dgSYNAN8RIjzFmkAvX/LN72htABjRJzL5FIoFIrOkFIuBZa2arvQ4XgHLQMQbe1ZwFkdzLuEVq4YjvM6tJXjkCmkL2KLn4m2Pr1sjaWpgeqMTQBsr0/Br6DC7TIFDtZcTGqz92AxN6HTOxcsr1AoPEO/cu0ItmbrKO2Cj7SNIQ98bD8+8uqtLpNJoVAoFL5B7nFNkY4KbVuRrj60A3NtFY3hSRSYw+2p8tyJMSIOv/A4zLVV1Ocfdvt6CoWia/QrRdpkbL7duoauFePS6XQEpDQnxa89ss9lcikUCoXC+9gt0u0o0lV71wMQkKrlTj9a4H5FGiBwsOa2UJPlG5kpFApFM/1KkfZ3UKSbmjrNAHUCib96zH587J2e5YdUKJylN8YxKDTUe9d7aGoyU1BsDTYMPdHr0dxYT5XUyhDHnXImfgY9RWW11NQ1ntDX1QSkWBXpw7vcvpai56j/+95Ld967fqVIA/gZNF/xssr6bo0Pm9TsOli5+4SAdYXCpQQEBHD8+HG1MfdCLBYLx48fV7nnewnF5XU0mS1Ehvpj9Dvxo7Hm4HYs9TWY4ocQEJNIQrRWiCW/uP1CFK4i0KpI1x7Zi8XctaepCs+i9uzei23P7qgOQlv0q2BDgMYm7Y/7eFkNA9qpXNURMefdSPmWFQAULFtIyJhpnYxQKLpPcnIyOTk5FBYWtmivr6/HZHJv6i1n8SVZwLfkCQgIUIp0L+F4mZYPPSai7YwClXvXARAyWsswmBAdTE5BJXnHqxg8wL15xf3CojFGDaChOJe63EMEJI1w63qK7tPent0dfGkvcxW+fk8BAQFdzizU7xTpAJOB2vomCku7Xy0o+rwbOf7NmwCUbV1J+MRZrhJPoWiB0WhkyJAhJ7Snp6e7LMVST/ElWcA35VH4PrbPhLYUaXNDHdUZWwEIHqX5RydEaRZpW+5pdxMwaAwNxbnUZu9WirQP096e3R18bS9zBX3xnvqda8eIgZEAHMwp66Rn+4Q7uHcc/9/iHsukUCgUCu/SkUW6+uAvWBpq8R8wHGNkAgDx0doTzXxrpg93Ywt2VwGHCoVv0e8Uab31jgNMPcvFGTfvLvtx6YZlPZpLoVAoFN7FbpEOP9E/smqPlq0jePTp9jabj3SeB3ykAQIHaYp07ZF9yk9aofAh+p0iPXhAOAB7Dxf3aJ6QtGbf6OI1/+nRXAqFQqHwLkXtuHZYmhqpPrgNgOCRU+zt8XbXDs9YpP3CovGLTMBSX0NdXqZH1lQoFJ3T7xTpAGtRlp74SNuIv/RP9uOSdZ/2eD6FQqFQeIfjpbXAiYp03bH9WOprMEYntahoa1Ok84urMZs9k6HBbpVW7h0Khc/gVkVaCHGNEGKPEGK/EOL2Nq6fIoTYIoTYIYT4UggR4U55ACJDtcd2xeW1PZ4reORp9uOS79/r8XwKhUKh8A7Nrh0tFenqg9sBCBw6rkV7UICR8BATDY1mSip6/nniDDY/6drsPR5ZT6FQdI7bFGkhRBLwJHAGMB64RQgxulW3F4G/SCnHARK4x13y2LClKWroYmXD9oi/7D77cen6z1wyp0KhUCg8R2OTpgzrdBDVyke67qgEIDBl7AnjEqK0gENPZe4ItAUcqnzSCoXP4M70d+cAa6SUxQBCiI+By4DHHPoYAFsCziDgBMdlq5U6olVz15L8OWDLHe2qJ3HB4lT7cfF37xJx+sWumVihUCgUHqG4vBaLBaLC/PEztLQv1RVkAWCKH3zCuPjoIGR2CfnFVYwZGu12Of3CYvCLiKexNJ/6vEz8E4e7fU2FQtEx7lSkE4Fch/Nc4NRWff4IfCOEWAhUAZPbmOcu4JG2FsjIyKC0tLRLQh0+mGE/3rZ9Z5sVrLqKYdIV+G/5CIB9y9+gcdiUTkY042s5Zn1JHl+SBZQ8HeFLsoDvy5OWluYlSRRt0Z5/dGNlKebqcnSmQPzCY08YF+/hXNKgWaUrSvOpyd6jFGmFwgdwpyKtBxztvjrAbDsRQgQCbwLnSCk3CyH+CLwDzG41z0JgSau2ZGBtampqlyrQpKenc8rJJ8G7WsRzcsoIYiPbrmLVJdLSOGRVpE3pXzNy3s1Oy+NLH6i+JI8vyQJKno7wJVlAyaPoOraMHdGt/KPrC63W6LhBbVaojIvUFOmCEs8p0gEpY6jYsUYLODxtrsfWVSgUbePOYMMcYIDDeQJwzOE8DaiRUm62nr8OnNV6EillqZTysOPLOnePKXJB5g4bcfPvsh+X//KNy+ZVKBQKhXspaqcYS0PhEQBMsSltjouzWqQLS1z3WdIZtswdyk9aofAN3KlIrwJmCiFihRBBwKXA1w7XDwADhRDCej4P2OJGeeyEBml13g8d6351w9aEjGnOK1208nWXzatQKBQK92LL4hQV1jLQsLH8OECLtHeOxFmfaOZ7qCgLgF94LH4RcVjqqqnPz/LYugqFom3cpkhLKY8CDwLfAduBpVYXjhVCiIlSyhLgBuAjIcRO4DfAr90ljyNhwUYA9h8pcem8MRfeaj+u2PW9S+dWKBQKhXsoKa8DtGBDR5qqSgEwhES0OS7W6tpRVFpDk4dySQMEDNJchWqyfSsWQKHoj7jTRxop5VJgaau2Cx2OVwIr3SlDWyTFhnK0sIptstCl84adfA5FK14DoPDzlwkde5ZL51coFP0XIcQ1wEOAEVgopXy11fXxwGK0TEg/Ar+TUjYKIQYB7wJxaGlGF0gpKx3G3QhMk1LeYD1PAdKBg9Yu+VLK84UQOuBZ4CK0eJebpZTr3HS7HsWWB9pWZ8CGXZEOjmhznL/RQESoP6UVdZSU157gGuIuAlNGU7lzDbVZu2Gy8pNWKLxJv6tsCDA0SSsT3thk7qRn14k+7zf246oMj3iqKBSKPo6TefnfBe6QUqaiBXfbop4XAYuklCOBrcDD1jkDhBBPowV0OzIR7QnieOvrfGv7pcAoYDQwH1gihHCrMcZTtOvaUVkKtK9IQ7N7h0cDDm0VDpWftELhdfqlIj12uJbvs7yq3uVzh09qTjqS/9+nXT6/QqHol9jz8kspqwBbXn7AbkUOlFJutDYtAS4XQhiB6db+9nbr8XS0z4B7W601CUgTQmwXQqwRQtgqkcwGPpBSmqWUGUA2cLoL79FrlFRorh2RYV2zSEOze0eBB/2kjRFx+IXHYa6tor5A+UkrFN6kT1gTukpiTIj92GKxtJnWqCdETL2M0nXa51btsQMEqFyfCoWiZ3SWl7+t68lADFAupWxs1Y6U8hu0PP43tFqrFs26/TpwAbBMCDGqgzVa4OoiWu6mrqGJqpoG/Aw6QoOM9naLuQlzdQWgwxAc1u745hR4nsvcARCQMprKnQXUZO3GP2GoR9dWKBTN9EtFOjK0OaDkeJnr/dqizrrarkgfe+s+hj74iUvnVygU/Y4O8/J3cL11O63GnYCU8q8OpyuEEH9Dc+noTAYbd+HCIlrupriiAYDgAAO7d++2t+/+ZTNBWLCYgtm9Z2+745tqtexP8uBR0hNc/5SzPQyGCPyBgvSN5AQPcXqcrxUrchXqvnoPvfWe2qsH0C8VaYNDCdiM7BK3BIgEjzmDqt0/AdBQWtBu+iSFQqFwghxgmsN567z87eXtLwDChRAGKWWTtY/juBMQQvwezUf6uLVJBzR0sEZrFuKiIlqeYG9mMZBNfHSI/YMyPT2dEcnxHAX8I6IZ1kFBnWp9Hp9vLKIBf48W3mlIjuPItmWYSnMYMWY0Ol3nnpp9tTiQuq/eQ1+8p07/84QQc6zR2n0KP6syvfdwsVvmj5//f/bjI6/e2kFPhUKh6JQO8/JLKbOAWiHEVGvTtcBKKWUDsBa40tp+HZ1nSjoTuBFACHEmYAD2ASuABUIIgxBiOJBKG7n/3VlEyx0Ut5uxQ7M0d+QfDd5z7TBGxOEXFoO5tlLlk1YovIgzwYZ/ADKFEA8JIRLcLZCnGDU4CoAffnHf/m6KG2w/NtdWuW0dhULRt+ksL7+12wLgBSHEPiAEeMnafhtalo89aFbthzpZ7k7gXCFEOvAccLWU0owWsLgb2AksB26UUnpWe3QDJe1k7DDXacGDev/gDsfbsnYUltZgsXgulzRAQIpm2avN3t1JT4VC4S46de2QUp4rhBiGlkppkxBiE/BPKeUat0vnRgbEBLPrYJE9WtsdJN30LJlPaQHyh5+/TvlKKxSKbuNEXv4dtAxAtLVnAWd1MO8SHFwxrEr7uW30swD3WF99Blvqu9YZO8z1WrvOFHDCGEeCAoyEBBqprGmgrLKeiFD/Dvu7ksCUMVTu+p6arN2En3qRx9ZVKBTNOJX+Tkp5EM0a8ke0HKMfCCF2CSEmuVM4d3Lu5EH2Y3dZEVr7rKl8nwqFQuFbtFfV0NKgtes7UaTB0b3DcynwAAIGaanEa4/swWJxfV0EhULROc74SA8XQvwdOIJmlb4LLcjkFuAjt0rnRoYnR9iPcwoq2+/YQwbf9779OOsfN7htHYVCoVB0HbuPdDsWaWcU6VgvFGUB8IuIxxAWg7mmkvqCbI+urVAoNJyxSG9GK0l7ppTyAinl59aE/BuAH9wrnvvwc8jc8fGa/W5bR+9nsh+b66o97kOnUCgUivYptVmkWwUbWuo192+dsXNFOj7KVpTFsy7jOp2OwBRrlUPlJ61QeAVnFOlkKeUfpZQnaJtSyhtcL5LnCPQ3APDT9qNuXSflrn/bj/M+eNKtaykUCoXCeUorNctza99mc0NXLNKaIl3oYYs0NLt31GQpRVqh8AbtBhsKIXZhTb4vhDjhupTyJPeJ5RnmTBvGR6syqG90r2+ZITjcflxzaJtb11IoFAqFc5jNFsoqtSIq4SGtfKSdDDaE5swd+V5QpAPtmTs0P2ln8kkrFArX0VHWjjs8JoWXmHPGUD5alQFAaUWdW6Otk256nqOL7wag+Lv3iJqxwG1rKRQKhaJzKmsaaDJbCA40YvRrqYA2+0h3XrArLspmkfZ8NkC/iHgModE0VRynofAIprgUj8ugUPRnOvrqmi+l/AGoaOfV63FUnN3pJw3gHz/Yfly6/lO3rqVQKBSKzimr1PyjI0JMJ1yzK9JO+Eg7Zu3wdByMo5+0cu9QKDxPR4r0c9afn7Tx+tjNcnmc5T8edPsa8Zfeaz+u3LvB7espFAqFon1KbYp06InKsqXBedeO0CAjASYD1bWNVNU0uFZIJwgYpAIOFQpv0a5rh5TyIuvPIZ4Tx/NcOmM4n3x3ANDySet07quGHjxysv244NPnYN6jbltLoVAoFB1js0iHd2SRdkKR1ul0xEYGcSS/goKSGkKCTpzPndgt0spPWqHwOB0FG77U3jUAKeUfXC+O57nm/JF2RfrztYeYN32YW9eLmHoZpes0g76uositaykUCoWifUorbIr0ifExXQk2BC0FnqZIVzM0KbzzAS7ELzIBQ0gUTZXFNBTmYIob1PkghULhEjr62nq8k1efwGQ02I8XL093+3pRZ11tPw5c87Lb11MoFApF29hcOyLbUKS74iMN3ivKAq38pJV7h0LhUTpy7eg3fgeO7h1NZgsGvfvcOwD8BwyjLlfzyTbX1zgVFa5QKBQK12JPfddGxqau5JEGh4BDDxdlsRGQMobK3WupzdpN+MRZXpFBoeiPtGuRFkL8ZP1ZIYQob/3ynIju57oLR9uP//npTrevl/jrp+3Hh5/9ldvXUygUCsWJlFrLg5/g2mGxdN21wyFzhzewBRzWZO9WFXQVCg/SkWvH5dafacDYNl59Br2DBfrrDYfdvl7rQBCLxb0FYRQKhUJxIjaLdERrRdrcCBYzOoMRnd7QxsgTiY3Snix6o7ohgDFqAIaQSMzV5TQU5XhFBoWiP9KuIi2lzLX+zAJGAr8HfgekWNv6FLddNs5+3ODmSocAg//0rv04972/un09hUKhULSkOf1dK0W6UVOwnbVGg2Muae+4duh0OgJUPmmFwuN0miNHCPEA8AJQDTQBi4UQt7tbME8za8pg+/Gd//jO7es5+kXXqk1PoVAoPE57WTt0TVouaJ3R+Wq3ESH++Bn0lFfVU1vX6Dohu0CgyietUHgcZ5JNXgNMllL+RUr5EDAZuM29YnmXI/mVHlmn5qxb7ceq2qFCoVB4jrqGJmrqGvEz6AkOaBV3b24CQGdoNx7/BPR6HXFezNwBEDBwJAB1RzO8sr5C0R9xRpGuAeyapZSyBKh1m0ReZNG9Z9uPf/jF/T5mlvAE+3Hxd++5fT2FQqFQaDiWBz+hEJdNkfYzdmlOb7t3GKOT0JkCaSwvorGixCsyKBT9jY4KslxiPZTAMiHEYjTXjuuArR6QzeMMjA+1Hz/33s+ceUqy29eMnft7Cj/X8klXH9xG0LCT3b6mQqHofQghrgEeAozAQinlq62ujwcWA2HAj8DvpJSNQohBwLtAHNp+vkBKWekw7kZgmpTyBuv5AOAtIAEwA/dIKdcIIYxoNQQOOSw7QUrZ5IbbdTt2t442Ut9h1lwzdHrnLdLg3VzSADq9gYDE4dQc3kXdsQz8xOTOBykUih7RkUX699ZXEtrG/EfgT0A8MML9onmHK89JtR+v23nM7euFjj3Lfpz3wRNuX0+hUPQ+hBBJwJPAGcB44BYhxOhW3d4F7pBSpgI64GZr+yJgkZRyJJoR5GHrnAFCiKeBha3meRb4Qko5HrgaWCqEMAAnARuklOMdXr1SiQbH8uAnKtK6brh2gFbdEKCg2DuKNIB/ovbxXHdsv9dkUCj6Ex0VZJnhSUF8hV/NGsWHqzT/sqff3sIXz89z+5phEy6g/OevAWgoK8AYHuf2NRUKRa/iHGCNlLIYQAjxMXAZ8Jj1PAUIlFJutPZfAjxqfZI4HZjv0P4DcJ+1XQ/cixb7YuMzYI31+AAQAIQAk4BYIcRWoBG4T0r5Q2tBhRARQESrZvc/3usiza4dbVmku6dIx1pdOwq95NoB4J+kGYNqlZ+0QuEROt0lhBAjgDvQNlIdYACGSymnulk2r3HVuYIPvpUAfPrdAS6ZMdyt68VccLNdkT7yyq0MffATt66nUCh6HYlArsN5LnBqJ9eTgRigXErZ2KodKeU3wDdCiBscF5JSOm5A9wDbpJRlQggLsAz4G1p9gZVCiDQpZVErWe8CHmnrJjIyMigtLe3oPj3GvgOaD3FjbQXp6ektrumtinRVbd0J1zqiqlRToA8fLerSOJdS10QQUJOzn/RdO6FV3QKvyeVm1H31HnrrPaWlpbXZ7szX7aVojwNPB94H5gA/O7OoEz59AngdiATygKuswYxeZcEFI+2K9Ftf7mbOtKEY/ZyJy+w+xugkGo4fBcBcX+t0WVqFQtEv0AOO5ep0aP7LnV1v3U6rce0ihLgL+C1wJoCU8nWHy9uEEJuAqcDyVkMXolm+HUkG1qamppKc7BvG6Y0H04Fihg1OIi2tpbFkj/WpZEhYBCPa+fBsi7jEav618hiVde1/6HqC7I1xNJYWMCIuDP/4wfb29PR0r8rlLtR99R764j05ox2GSilvBf4HrATOBaZ0Nqgznz4hhA74HHhaSjkO2Abc39UbcBeP3tx8i5fc94Xb10u+5QX78eHnr3P7egqFoleRAwxwOE8AjjlxvQAIt/o4Y+3TafCHEOIZNB/r6VLKI9a2a4UQwxy66YCG1mOllKVSysOOL6t8PkVZe8VY6L6PdHR4AHq9juLyOhoavec+rvykFQrP4Ywifdz68wCQJqUs5UQLR1vYffqklFWAzafPxilAlZTya+v5U8Cr+AinjGzpp2zbdN1FizK05iYsFmd+xQqFop+wCpgphIgVQgQBlwK2vdNWgbZWCGFzubsWWCmlbADWAlda269DM4i0i9USPQOYKqV0VIDHAXdb+wjgZOvcvRJb1o62faStWTu6mP7OYNATE649TSws9Z6fdIDVT7ru2AGvyaBQ9BecUaQPCCEWAuuA3wshfo/mqtEZ7fns2RgO5Akh3hRC/AK8hkO+ahtCiAghxGDHFx4KXPn07xfZj3/1yNcd9HQNKf+3xH6c/9Hf3L6eQqHoHUgpjwIPAt8B24GlUsrNQogVQoiJ1m4LgBeEEPvQYlpesrbfhvZEcA8wDc3drk2sTwofQUuV970QYrv1lYgW2BgnhEhHM4xcJ6WscPW9eopSe9YO04kXu2mRBoeAw2IvBhwmaq4qSpFWKNyPM7vErcAsKeU2IcS/gPOBW5wY15lPnx9wFtqjw61CiMeBfwA3tJrnLlwYuNJVJ/eESBN5JfUA3PLkSv4wb2CXxndVniDrz+oDP3vFId+XggB8SRZQ8nSEL8kCvi9Pd3wEpZRL0WJWHNsudDjeQcsARFt7Ftpe2968S7D6NEspLWgxK+1xWQfXehUduXZgsSrSXcwjDVoKvN2HjpPvpVzSAKb4IaDTU1+YrWJuFAo30+kuIaWsFkJ8L4S4CMgEfm117+iMHDTrh43WPn15wH4ppa24y/toVo7WLMRFgSvdcXJ/Iy2NOXdrsTS5xfUMTx1JgKnrm6uz8tRFP8vRf/8JgOTKg0Sc5v70ex3J4y18SRZQ8nSEL8kCSh5F55jNFsqqNANJWHAbPtJN3XPtAO8XZQHQG/0xxaVQn59JfX4mAQNHeU0WhaKv06lrhxBiNlo1rHvREvnvFUJMd2LuDn36gPVoOUnHWc/bzAbiC4ErSx+fZT++/M9fudV/2X/AUPtx8ep33LaOQqHwHkKIT4QQ53hbjv5KRXU9ZrOFkEBj2xmZrBZpuuHaEecDuaSh2b2jVgUcKhRuxRkf6ceBM6WU06WUZwCz0VwwOqQznz4pZQ1wMfCGEGI3cDbWQBZfIzTIZA8gAZh7z+duXS9m9q324+oDTmUaVCgUvYtPgYeFEBlCiHuEEFHeFqg/0VFVQ6BHPtJxVot0vherG4Lyk1YoPIUzirRFSrnbdiKl/MXJcUgpl0op06SUqVLKZ6xtF9rcOaSUm6SUp0opx0gpz5dSFnTnJjzBW385v8X5TU9+67a1wsY3G6ryPnzKbesoFArvIKV8T0p5JjAXLbBvixDiP0KIE3ycFa6ntCP/aOiZIh1ls0h7V5EOsKXAO6os0gqFO2lXIRZCRFmtJFusFpMQIUSQEOI2msvH9is+f26u/Ti/uJqVGw67ba3wyXPsx/XHO037qlAoehlCCD0wAkhFi1cpABYJIR71qmD9gLIKzT+6zdR3OOaR7oaPdIRmkS4qq6WpyanaN27BGJOMzhRIY1kBjeXHOx+gUCi6RUeW5SKgEC1DxzNAOVp6uleA/3O/aL6HTqfj0783K7iLPt5BToF7sj9Fn3OD/Tjnn793yxoKhcI7CCGeAI6gxZ58CAyXUt6NVkXwDm/K1h/oMPUd9MgibfQzEBXmj9ls4Xh5bbdl7Ck6vYGA5JEA1B7Z6zU5FIq+Tru7hJTSvTWxeylGPz2v3Xc2t/5dM8rf+vc1vPvoBe372vUA/8QR9spU5toq9AHBLl9DoVB4hTjgQmvKOjtSyiohxNVekqnf0Oza0U5auB4o0qAFHBaX11FQXG0PPvQGAYNGU3NoG7VH9hIy5gyvyaFQ9GWcydqhF0LcK4T4TgjxkxDiL0II1+R/66Ukx4Vy2dkj7Oe/euRr6htcXw428YbmoiyqbLhC0acwtFaihRAfA0gpv/GOSP0Hew7pdi3S1vR3PVCkAQq8nLkjcJCW9q4me49X5VAo+jLO7BJ/QysN+yKa4n0L8BxaoZR+y/WzR1NV02D3k770/i9Z8pfziA4PdNkaOp2uxbnFYkanUw8KFIreyiOPPEJ+fj7AJUKIWIdLRmBo26MUrsZWHry9J4k2H+nupL+D5lzS3g449B8wHJ3BSENhNk3VvbYIpULh0zijlV0AzJFSLpNSfgrMs7b1e267bJw9Qhvghse+odya5N9VDL7nXfvxsSUPuHRuhULhWS677DLOO+880GJOPnF4vQtc2MFQhQtxZ9YO0Kobgvct0jo/I/5JqQDU5uzzqiwKRV/FGUVaL6VssJ1IKeuAhg769yvefPBcLp0x3H6+4C8rqa1rdNn8ev9mC3edSqyvUPRqxo4dyyWXXAJwupTybYfXe1LKg96Wr7/Q7NrRmSLd9awdALE21w4v55IGCLC6d9Rm7+6kp0Kh6A7OKNLbhRAvCCGGCSGGCiH+Aex0t2C9iRsuGsPc6c1PZS9/4CuXWqaTb3nBflyy9r8um1ehUHiWO++803b4tRBiZ+uXN2XrT7izIAs0F2XxZplwGwGDRgNQq/ykFQq34MwucTvwElpJbx3wP0DlY2vFzfPGYjTo+eQ7rYrUgr+s5LcXj+WiM3ru9miKHWQ/LvnxAyKnXd7jORUKhee5+eabbYcqxZ2XqK1vpKauCaOfnqCAtj8CdS7I2gFQWFqD2WxBr9d1MsJ9BCQJ0Buoy8uEhjqvyaFQ9FWcsUj/WUp5g5QyXkoZJ6W8VkpZ7HbJeiE3XDSGa84faT9//bNd/GvZLpfMHTv3D/bj6oPbXDKnQqHwLGlpaQBIKX8Ajlh/hgDTge3ek6z/UFapPS0MD/E/IaDbjj1rR/dcOwL8/QgLNtHQaLb7Y3sLvSkA/wHDwGJGX5ztVVkUir6IM4r0RW6Xog9x9XmCV+6ZYT//Yu0h5ty9HIvF0qN5Q8eeaT/O++CJHs2lUCi8ixDideA+IcQo4A20jB3/9q5U/YNOU9+B3bWju1k7wDfdOwzHD3tXEIWiD+KMIn1ICPGNNX/0H20vt0vWi0kZEMb7j89q0Tb3ns8pKu1ZBHf4qc3faeoLlGVBoejFTABuBS4G3pZS/hpI8a5I/YPOUt8BPfaRhuaAw8Ji72buAAi0KtL641lelkSh6Hs4o0gXA0eBIcBY6yvNnUL1BUKCTHz+3NwWbb9+/Bs2ped2e87oc39tP855o19WaVco+gp6KaUZOBdYY23zXgm8fkSnqe9w9JHunmsHNKfAyyuu6vYcriIgeSTo9OhLjmFWftIKhUvp9Ou21VKCECISaJJSlrtdqj6CTqfji+fnseiTHaxcfxiAJ97azP3XT2LqSYndmjNg0Bh7GqOmqjIMweGuElehUHiOA0KIFWguHd8LId6jk2xIQohrgIfQircslFK+2ur6eGAxEAb8CPxOStkohBiElqc6DpDAAillpcO4G4FpUsobrOcm4E1gIlADXCOl3CeE0AHPorn7mYGbpZTrevRb8AKdpr4Dl1ikE2OCAThW6H1FWh8QjCl+MPV5h6jLkQQOOcnbIikUfQZnSoQLIcQWoAA4LoT4wboxK5zktkvH8cRvT7efP/32Fp59d2u35hrwq0ftx1kLf9Nj2RQKhVf4NbAUONOap38t0O4/tBAiCXgSOAMYD9wihBjdqtu7wB1SylS0DEu2FCGLgEVSypHAVuBh65wBQoingYWt5vkDUCWlHIVWwXaJtf1SYBQwGpgPLBFCdF/T9BJOuXZYXKFIhwBwrKiyk56eweYnrcqFKxSuxRnXjiVoVo4gtOjyj9GsFYouMC41lhf/eJb9/MdtR/nzWwdpaGzq0jw6nQ59YIj93Nzo2kqKCoXC/Ugpq9CU50ghxCnAZmBkB0POAdZIKYutYz8GLrNdFEKkAIFSyo3WpiXA5UIII1pGkI8d263H09E+A+5ttdZs4D2rnD8CsVbjyWzgAymlWUqZAWQDp9PLcMa1gyZr1g6/7rt2DIjVLNK5Rd63SEOzn7TKJ61QuBZnFOkgKeXrUsoGKWWdlPJlIN7dgvVFhiaF895jLYMQL7nvS/67OqNL86Tcudh+fPjvV7tENoVC4TmEEI8Be4HPaC4T/nEHQxIBxwCLXCDZiesxQLmUsrH1OCnlN1LKe9HcN5xZqzMZbPcWIYQY7Phqq5+36LQYC6CzWqTRd98iHRMeiNFPT0lFHdW13i8GHDBQq3BYdzQDS6P35VEo+grO7BL7hBCnSynXAwgh0oBM94rVdwkLNvHF8/N44f1fWLP1CADvrNjLOyv2suyZORgMnX+3aR0AY7FY2s+HqlAofJFrgeFSymNO9tcDjjk0dWh+yp1db91Oq3FdWaszGWzcBTzS1sQZGRmUlpZ2srx7ySvUwnyK8o6Q3lDQZp9Aq4/0voz9YArs9lqRIQYKSs38tGknidEdWMA9REBILPrKQvauX4U5aqC3xXEp6enp3hbBLfTF++qt92SrA9AaZxTpFOAHIcQOoBE4GcizlbOVUqqohW7wf1efwvhB8I9Pj9jb5t/7BTfNS2PutKGdKsYpd79D1vPXAZDzxh8Z6FBGXKFQ+DxHuqBEA+QA0xzOE4Bjra4PaON6ARAuhDBIKZusfTpb1zbXwVZztbdGaxbS7FdtIxlYm5qaSnKyd43Tdf/NAWDiyWOICgtos8/BLzVFenTaWPSmtvs4w5DNVRSU5hEYnkBaWlK353EVGdsGoq8sJNG/gYh2lILeSHp6ertKTm+mL95XX7wnZxTp+9wuRT8lNlyzTt/x7Bqy8ioAWLw8ncXL07lnwQTOPKX9DxxDQLD9uKFQ5ZRWKHoZq4UQzwDLcXCtkFL+0k7/VcBfhRCxQBVa4N8tDuOyhBC1Qoip1kwa1wIrpZQNQoi1wJVowY3XASs7kW2Ftd9PQogzgFopZbY1y8hvhBDvo6VDTQW2tB4spSwFSh3bhBCdLOkZmswWyqs0146w4M4LsvTERxpggC1zh48EHDZFJeOX/Qt1ORkw2dvSKBR9A2fS3/3gCUH6M6/86Wzyi6u5+alvsRVAfO69n7XXH6YhUqLaHDfw9kUcefU2API/+wfxF6s6OQpFL+EG68/LHdosaOnwTkBKeVQI8SDwHWACFkspN1uV279IKbcCC4A3hBBhwC/AS9bhtwFvCyEeQgsQ7Cyw4mXgdSHEbqAOTSkHzYd7Ms1p+m6UUnq/2kgXKK+qw2yB0CATfu240VnMTegsZkAHOmfCiNonMdaaucMHUuABmCM1d47ao9LLkigUfYdel7qorxIfFcTnz81j96Hj3P/qT/b2e15aC8Df7ziD0UOiW4wxRjTHfFbtWQdKkVYoegVSyiHdGLMUzars2Hahw/EO4NQ2xmUBZ3Uw7xIcXDGklLXA9W30swD3WF+9Elvqu8iw9v2VLbaMHQa/Hsee2HJJ+0rmDktoDPqAYJoqimksL8IvLMbbIikUvZ6efd1WuJwxQ6P54vl5PPybls/d7nvlJ+bcvZyf9+W3aE/89d/tx8dXv+0RGRUKRc8QQoQIIV4RQqwWQkQJIV4XQoR0PlLRE0oqnCjGYlWk6aFbB0BynPaW5hRUYLG0jvn0Ajo9/okjAKjNUVZphcIVKEXaRzl1TAJfPD+PW+aPbdH+1zc2Mufu5WzYdQyLxUJA4nD7tbKNn3taTIVC0T1eAsrQUonWolUj/JdXJeoH2C3Soe0HEDpapHtKVFgAgf5+VFQ3UFbpGzn/A5I0f/Xao11Lu6pQKNqm3Z1CCLGLE9Mm2VHZOjzDnGlDmTNtKDsPFPLga+vt7U8t0WJ8jH56Xr3mT9R8+SwAZVtWED7pwjbnUigUPsPJUsrfCCEulFJWCyEWAL0zJ1QvorSiFui4GItdke5BDmkbOp2OgfEhZGSXcqSgouMiMB7CPzkVgDplkVYoXEJHO8UdHpNC0SknDY/li+fnsXpLNm9+vpuKas260dBo5pZ38nnRGo94/Js3lSKtUPg+rUuaGug8v7Oih9hdOzpUpLViJTo/14QQJceFkpFdSk5+BWOHed8nOSBxBKCjLi8Tc2M9er8OspcoFIpOaXencMzWIYSIAoLREvAbgOHtjVO4l5mTBjFz0iCazBZe/OAXvvtZy4n6QdVpXBWsVQcu2fEDkePO9KaYCoWiY34UQvwdCBRCnA/8Hi0jh8KNNLt2OBds6AoGxocCcKTAN1Lg6QOCMcYOpKEwm/rcQwQM7KgyvUKh6IxOfaStpWzzgUOABA4A/3CzXIpOMOh1/PGaCXz+3FyuOlewoS7Vfq3ky5eYc/dy1mw94hsBLgqFojX3AZVoftJPANuBP3lToP5AqVMWadcq0oNsirS1VoAvEJCkfV7U5uzzsiQKRe/HmWDD64BBaDlER6DlP93tRpkUXUCn07HggpF8/txc1vpNtbePNubwwvu/MPeez/m/F76npLzWi1IqFAob3377LcAPaMr0EDRlep017ZzCjZRYfaSdCzbsedYOgOR4LXPHkQIfUqQHjgKgNnuPlyVRKHo/zijSBVLKXGAvME5K+R9gbCdjFB5Gp9Nx/X3NeaR/G7rGfnwgp4zrHv0fc+5ezoerJHUNrd0zFQqFJ1i5ciXPPvssaEVPTgXOBN4BXhJCXOJN2foDpZWdW6Tt6e9cZJGOjwrG6KfneFkt1bUNLpmzpwSmjAGg5sheLGb1eaBQ9ARnFOkGIcQwNLeOaUIIP6D9r/MKrxI+Zb79+N3bhjB5TEKL6++u3Mdl93/JnLuXs+TL3TQ2qfgmhcJTvPPOOyxZsgQp5ftSyj1Syr1SyneA2YCqqORGmprMlFfVo9NBeAflwe3Bhi5SpA16HUnWCofZ+b5hlfYLj8UvIh5LXTX1eZneFkeh6NU4o0j/DS2/6ZfAJcARYE2HI6wIIa4RQuwRQuwXQtzeQb/ZQgj13+wCos++1n58/INHeeg3k/n8ubk89OtTCfQ3tOj7yXcHuPjeL5hz93Ie+dcGauqUZUKhcCdVVVUkJiae0C6lzAACPS9R/6Gsqh6LBcKCTRjaKQ8OrveRBhg8IAyAw8fKXTZnT7FbpbNU1kWFoic4o0ivlVLOlFJWAeOBC4BbOhskhEgCngTOsI67RQgxuo1+8cBzaBlBFC4g7JTz7ce1OfvQ6XRMThvAR09dxBfPz+Pp288gKKDlh8QvsoDHlh5mzt3LefqdLWQeK/O02ApFn8dgMHR0We2BbsQWJ9KRfzS43kcaYEiipkj70r4akJIGQE2WCnlSKHqCM1+5M4UQXwJvSCnXAjucnPscYI2UshhACPExcBnwWKt+i4FHgafbmkQIEQFEtGpOdlKGfknMrFso/+V/ABx7+0GGPvhJi+tjhkbz4ZOzAcgvruaJf2/icG6zpWTdjmOs23EMgOHJ4fzlptM6/fBRKBQKX8buH91ReXDcZJFODAcg06cs0poiXWv1k9bpO/ySp1Ao2sGZnWIIcDXwnBAiHE3xfVtKWdjJuEQg1+E8Fy24xo4Q4g/AL8DGDua5C3ikrQsZGRmUlpZ2IkZL0tN96zGWu+QxDjkVY+ZmAPasWYY5rv3U37+9IBaLJYajx+v4eX8FG/c1b/YHcsq47q+aUj52cDDDE4OYMCIUg979xrP+8l51F1+Sx5dkAd+VZ9++fYwfP56amprWGpUOFXviVkrKrYp0WGeKtDUg0IWKtM0ifTi3HLPZgt4D+2dn+IVF4xeZQGNJHnW5hwhIGuFtkRSKXkmnO4WUsgz4J/BPIcQ44HW0vKedbfp6WpYY1+FQuUsIkQZcCsykYwvzQmBJq7ZkYG1qairJyc4bp9PT00lLS3O6v7txqzxpaRx68lIAAjb85wSrdFvo0tO54KyJANTUNfLSh9v4yWqZBth1uIpdh6v4bL32HWrymATOOy2Fk1PjMPo54yXkPP3qveoGviSPL8kCvi3PqlWrADj77LNV5iMP46xFGje4dkSGBhAR6k9pRR0FJdUkRAe7bO6eEJiSRkVJHrXZu5UirVB0E6e+cgshTkHLH305sMX6szNygGkO5wnAMYfzy4EBwFbABCQKIdZKKR3HIKUsBUpbyeOM2P2eiNMvpnT9ZwBUZWwhOHWS02MD/f2477pJ3Ifm1/fjtqMs++Fgiywfm3bnsWl3nv18ytgBzJgwkFNHx3cYzKNQ9FeSkpIAkFJmeVmUfoczOaTBPa4dAEMGhLGtopDMY2U+o0gHpIyhYvsqarLSiXDI+KRQKJyn051CCLETrTz4W8AEKeWxTobYWAX8VQgRC1ShWZ/tQYpSykewumwIIQYD37dWohU9I2rGr+yKdP5/n3bKKt0WQxLDGZIYzvWztVjRI/kVrNl6hG83Z1FWWW/vt2FXLht2NXvzTBk7gOHJEUw/OclnPjgUCkX/xJmqhuD69Hc2hiSGsy2jkENHy5ky9sTMLd4gcJCWuaP2yF4sTY0uv2eFoj/gzH/N3VLKb7s6sZTyqBDiQeA7NIvzYinlZiHECuAvUsqtXZ1T0XUip19JyY8fAlCR/iOhadN7POfA+FCunz26hWL99YbD/LTjKMVWP0RoVqz/s3IvAFeem8r8M4cTEui6R6YKhULhDDZFOrJTRdr1rh0Aw5K1gMMDOaUunbcn+IVFY4waQENxLnV5h+ylwxUKhfO0q0gLIe6VUj4DzBVCzGl9XUr5h84ml1IuBZa2aruwjX6HgcFOyKvoIpHTrrAr0oXLX3SJIt2agfGh3Dx/LDfP19w+C4qr2ZCey6b0PHYdLLL3+/DbDD78NgOAxJhgUgdFkhgTzJzpw5RyrVAo3EqJ0xZp97h2pA6KBCAjuwSLxYJO5/2AQ9DS4DUU51Kbla4UaYWiG3S0U9gSXhZ10EfRC4g+70aOf/MmAGVbviJ80my3rhcXFcS86cOYN30YAHsyj/PyR9vJKai09zlWVMWxoioAln4jARg3IoaRg6M43UceeyoUvoQQ4hrgIcAILJRSvtrq+ni0rEphwI/A76SUjUKIQcC7QBxahdoFUspKa2rR94ChQCFwhZQyTwjxOTDIOq0BSAMmoaU+PQ4cclh2gpSyV1RyKnXWR7rR9Vk7AOKjgggLNlFeVU9+sS8FHI6hYtu3mp/06apKvULRVdrdKaSUr1sP84ClUkrfqG2q6DLhky60K9LHv/m32xXp1oweEs1r980EtICfHRmFHDpWzuot2ZRXNftY79hfxI79RXardXBAFmnDYhg3IpYJo+IYEB3sM1YchcKTOBS4mgDUAeuFEN9JKfc4dHsXuElKuVEI8SZwM/AasAhYJKX8QAjxMPAwcB9a9qW1UsrZQohrgReBK6WUcx3WfQzYIKXcKoSYYD0+n15GY5OZiuoG9DoI7aA8OABm97h26HQ6UgdFsnVvPjKrxGcUaVthltrsvZgb69H7dfL7USgULXDmK/cM4AmrlWKxlHKDm2VSuIG4+f9HwbIXACj65k1izrvRK3JEhgZw1oSBnDUBfjNHC3TJyi1nY3ouew8X8/O+AnvfqtrG5swgy7Q2k5+eSaMTGDk4kjnThnkkn7VC4QN0WOBKCJECBEopbTn5lwCPCiEWA9OB+Q7tP6Ap0rOt1wDeB14VQhillA3WOQVwPWBL1TcJiBVCbAUagfuklD+0FtQXi2iVWVPfhYX4d7pnuMu1A0CkaIp0RnYJZ57iG3XF/EIiMcUNor4gm7ocSeBglZlRoegKzuSRvkoIEYlWlOVFIUQQWpXDF90uncJlhIw5w65Il29Z4TVFui1SBoSRMiDMft5ktvC/H36muC6YnfuL2Hu42H6tvtHMup3HWLfzGG9+vpvQIBOTRsdz7qmDSBsW4w3xFQpP0FmBq7auJwMxQLmUsrFVe4sxVheQciCW5jSlDwPPSiltxWMsaF9p/4bm7rFSCJEmpWzt/ncXLiyi5QqOFmmKdKDR0mmxHmNBPkYgr6CAHBcX9jGZqwHYtu8o6eneMQK0df/G0GSMBdlkb15FQ2XvNE74WhEmV9EX76u33lN79Qmc+sotpSwRQvwLbdO9D7gf7TGgoheReN0THHvnIQDyPvobCVf82csStY1Br2NQbAAXpo2CC7Q2s9nCvqxi9h0u4a0vd9v7VlTXs2brEdZsPQJASkIoQ5PCSYgO5hQRR+qgSJ+oIqZQ9JAOC1x1cL11Ow7jWv9j2Oe0Gk/OA26yXXRw9wPYJoTYBEwFlreaZyEuKqLlKmr35gM5JMSEd1qspzBrLRVAYvIgwlxc2GfwsAbe+iaX3OIGUsUoTEbPluVur1hRdWADeQfXE1yRS7IPFTNyFl8rwuQq+uJ99cV7ciaP9MnAb9AKqPwCPAN87ma5FG4gYOAo+3H1/q0+FTneGXq9jtFDohk9JJpLZgynyWxh14FCNqbn8dW6THu/rLwKsvI0d/73rUGMAIMHhDH95CTOnjiQqLCAXnPfCoWVzgpc5aAVuGp9vQAIF0IYrEGBAxzGHbX2yxFC+AGhaMGEABcCK6WUtbYJrX7U66WUB61NOqChtaC+WESrpNwaaBjWeRV2i9l9rh0hgUYGDwjjcG45MquEscN94ylawKDRYPCjPu8QTdUVGIJCvS2SQtFrcGanWA68CZwqpcx2szwKN5P8u5fI+aeWuTDzqcu6XaTF2xj0OsanxjE+NY7fXXIStXWN7DxYRE5+JbsPHWfznrwW/Q/nlnM4t5x3Vmg5rW3R8yenxnLZzBGIlCj8PWwdUii6QGcFrrKEELVCiKlSynXAtWiKcIMQYi1wJVoq0uuAldZhK6znT1mvr7X5RwNTgLWtZBhnbb/N6j99cht9fBKny4PjvjzSNk4aHsPh3HJ2HijyGUVab/QnYOAoag/voubwTkJGT/W2SApFr8EZRfonKeWjbpdE4RFM0Uktzs31tehNnVtpfJ0Afz9OHZ3AqaPhkhnD7e1HCyvZvDuPtduPcjCnFLP1IbctW8i2jEK2ZRQC4G8yUFffxOghUYwaHMW08UmEh/gTExHo8ftRKBxxssDVAuANIUQY2tPDl6zDbwPeFkI8BGSjxbuA5gO9RAixG82CvMBhyaHAl63EeAz4txAiHc1d5Lreks3JlkM6MswJRdpN6e9sjB0ew+drD7HzQCELGOmWNbpD0JBxmiJ9aIdSpBWKLuDMTjFGCKGTUrb2s1P0Ugbfu5TDz1wDwOFnF/Raq7QzJMWGcPFZw7n4rGblurK6nszcct5Ytoui0hoqqrUPzrp6LR3unsxi9mQW88l3B+xjAkx6UgYUM3lMAmdPHEh0uFKuFZ6lswJXUsodtAxAtLVnAWe10V4MzG3d3npeh7ZytEwhvQ57eXAnLNK4MWsHQNrQaHQ6rTBLbX0jASbfKMsdOGQcfPcuNZk7epXbn0LhbZz5D84FdgshNgL2ihrOVDZU+CZ6Y8sPk/rjR0+wVPdlQoJMjB0Ww0t3z7C31dY1cqSggm2ykE+/209ibAj7j5Q2X683I7NKkFkldveQkSmRJMWFkDY0mrRhMcRHBakPH4XCBymxFmPprKohuNdHGrT9Z1hSOAdyytiTWcwpIs4t63QVU8Jg9EFhNJYX0VCciylaFcZSKJzBmZ1ig/Wl6EMMeeBjMp/SjEs5//xDn7ZKO0OAvx8jBkYyYmAkV5zTXCa3obGJg0fLWPljOofymzicW26/ti+rhH1ZJazecqTFXKMGR5EUG8J5k1NIGRBKUIAqf65QeJPiMk2RjnIm2LDRvYo0wLgRsRzIKePnvfk+o0jrdHoCB4+las86ajJ3KEVaoXASZ/JIK//oPohOpyMo9VSqMzYDUJH+IxDlXaF8EKOfgZEpUTSeHGVP2VNRXc+O/YXsPFDEvsPFHC2opL6xORPZ3sPF7D1czKotLWNzTxoew7mTU5h6UiJGP71H70Oh6K9YLBaKrVk7opxwybIHG/q57wvw5DED+OS7A2zcncdN89J85klW4JCT7Ip0+MRZ3hZHoegVOJP+bhcn5iFFSnmSWyRSeIyEy+/j0JOXAlC4/EWYp74zOUNokIkzxiVxxrhmdxiLxcKxoiqOFlbyzcYsDuaUUlRW22LczgNF7DxQxPPv/QxoKfkGxodSUV3PxFHxjB0Ww+ABYSrvtULhQqprG6mtb8LfZCA4oHMrs12R1rvPIp2aEklEiD8FxdUczi1nSGK429bqCkFDxgFQk7UbS1OjW63yCkVfwZn/kjscjk3AVcAh94ij8DQxs2+j6KtFAPhvfBfSnvayRL0TnU5HUmwISbEhnDo6wd5usVgoKq3lh205fLH2IMXldfZrtpR8ANutmUNshAaZiIkIYGRKFCFBRoYnRzB2eAyhQSbP3JBC0Uc4XlYDQLST+eMtTe7N2gFa+s5Jo+P5dnM2m3bn+Ywi7RceizE6kYbjx6g7tr9F7QGFQtE2zrh2/OB4LoRYBawHnnSXUArPETZ+pl2RNuTvx2JuQqdX+ZRdhU6nIzYykMvOHsFlZ48AtMCnQ0fLaGw0s31/IcfLatmYnovF4blPRXU9FdX1ZB4rP2HOwQPCCDI2cX5tGMOTI4gKDyQkUPlhKxRt0ezW4WSaTw+4dgCcljaAbzdn89P2o1x5TqrvuHcMHU/D8WNUH9yuFGmFwgm685U7GlBRCH2Igbcv4sirtwGQ+bcr+n3gobuJDA1gwkjtQ31y2oAW1yprGsg7XsWR/AqKSmvYe7iYguJqe7VGwG7F3pO97YS5YyICGTEwguS4EIIDjAxJDGf4wAhCAo3KZUTRLzludbGKDnMuZaXFzenvbJwsYgkNMpGVV8HBnDKGD4xw63rOEjR0POVbVlBzaDucdXWn/RWK/k5XfaR1wCDgdXcKpfAsxoj4Fuf1x4+piG0vERKouXEMT4444VplTQN7rFUbd8hcCssa0Ol0NDY1BzoWldZQVFrT7vypgyIYPSSaATHBpCSEER8VpArOKPo0Not0tJMWaZtrhzt9pEELZJ4xIZnP1x5i1ZZsn1GkAwaNAYMfdbkHaaouxxAU5m2RFAqfpqs+0hagUEq5103yKLzEkD9/RObfrgAg55+/V1ZpHyQk0MipYxI4dUwC6el+9iwiFouFmrpGdh0oIvd4NVU1DWQcKSErt5zSijqazM0+IxnZpWRkl54wt14H8dHB+Bn0DEoIJS4yiFGDIzH6GUiMCSYqPMBnCkcoFF3BZpF21rXDE1k7bJxz6iA+X3uI73/J4ddzxuBv9L5bnd4UQODAUdQc3kVN5k5CxpzhbZEUCp+mw09GIYQOWCelbBRChALnohVoUfQxdHoDjUlp+B1NB6D4u/eImrGgk1EKX0Cn0xEUYDzBTcSRkvJatu7NJzu/AplVQqC/H7/IAvt1swVyi6oAOJKvuZF81sGaU09KZNLoeFIGhFHXYO6gp0LhXezBhl1VpD2QscLmenXgSCmrNmcze+oQt6/pDIFDx1NzeBfVh7YrRVqh6IR2dwohxGhgBXCHEGI1sNl6KUwIcYOU8ltPCKjwHPUTL7cr0qXrPyXyrKvR6VS+475AZFgA505OOaHdbLZQXdtAQUkNBSXVZOdpijZAcXkNB3LK2pxv3c5jrNt5rLnh3UwAxKBISivrOHVMAkmxIQxJDGNYcgQmP73PBFMp+hd21w6nfaTdn7XDkctmjODpd7bw6Xf7Of+0FPwM3t9zA4eOhzX/oeaQKheuUHRGRzvFs8CDUsovhRC/RvOPHg0kAR8ASpHugyRe/xTH3n4AgMynLlcuHn0cvV5HSJCJkCATQ5PCOa0dq3ZTk5nyqnq2ZRSyZU8eTWYLG3ad+HBKZmtK+Bdr286QafLTc7KIIzYykJq6RsYOiyEhOpigAD/CgjU5lNKtcCVdce2wWCzNWTs8pEhPGTuA5LgQcgoqWb3lCOefduIXXk9jikvBEBJJU2UxDYVHMMUN8rZICoXP0tFOMUhK+Z71eAawTEppBo4IIXwj6aXC5QQkixbntUczCEhKbae3or9gMOiJDAvg7IkDOXviwBbXtu/YReLAYZRW1nG0sJIDR0rZe7iYgzmlmFuVcqpvNLNpd579vHV5dUeS40Korm3ktLQEBiWEYfTTY/TTkxwXQoLVn9vPoMOg16uMJIo2aTJbKKnQcrc7Ux4ccxMAFp3eY0/j9HodV54reP69n3lnxR6mjB1AWLB388XrdDoCh46jcuf3VB/arhRphaIDOlKkmxyOTwf+4HDuZEJORW/EMfDw2JI/K6u0okP8DDriooKIiwoidVAkMyYMPKFPeVU9B46Ukl9SDRYL+4+UcqyoivKqegJMBvYfKSU4wI+q2kb7mJyCSgBWrD/cJXmCA/SYjDmcMT6JoYnhnDIyzjklStHnKKusw2y2EB5iwujXuWJsd+vwcC79M09O4puNWew6WMSbn6fzf1ef4tH12yJo6Hgqd35PzaHtRJw219viKBQ+S0eKdLEQYhwQCgwAfgAQQpwOHPWAbAovodMbiJh6KaXrNAX6yL/uYuAtC70rlKJXExZs4pSRcfbzWR30ralrtCveO/YXYvTT09Bo5hdZgJ9Bz9HCSoIDjTQ2mWlqMtPY1NLsXVVrpqq2rk33kunjkzAYdBw6WsaV54gTrgNYsDBlbKJTipfCt7GlgnT2i5Qt0NDTirROp+O2y07iD89/z5qtR0gdFOn1wMPAwScBOmqz92BuqENv9PeqPAqFr9KRIv0AsAoIB+6VUlYJIe4BHgTme0A2hReJOusauyLdUHiExspS/EIivCuUol8Q6O9HoL8f8VFBTB3XeT5zi8VCeVU95VX15BZVsXrDPoqr9eQUVFJZ09Ci74/bm20Az7y7tYNZf8ZkVaTrG7WsJKOHRGGxwLgRsfZeJqOemZMGKYu3j1JoVaTjIoOc6t+sSHs+1WNyXCh3XD6OF97fxr+W7SLAZGDmJO+5VBiCwzElDKU+7yC12XsIGnay12RRKHyZdncLKeVGIUQSECSlLLU2rwdOlVLu94RwCu+S8sclZP3jBgCyX7xRuXgofBKdTkd4iD/hIf4MjA8lyFJkz7ENmlvJnszjVFTVYzDoWLn+MJFhARja8KtOP3ic0krNp9amQNvYk1kMwN7DxS3a6xvMLLhgpKtvS+ECbBbpWCeLDtlcOywetkjbOHviIPKOV/P+N5KFH2xj7+Firp01ivAQ71iDg4aOoz7vINWHtitFWqFohw6/dksp64F6h/P1bpdI4TMYAkMJSBlDbdZuAHIW30PyTc95WSqFomuEBZtaZCM5e2LHVr4ms6VFtcjsvHKqaxr5RRYQYGqpYBmNBmZOPNEn3B0IIa4BHgKMwEIp5autro8HFgNhwI/A76w1AAYB7wJxgAQWSCkrhRARwHvAUKAQuEJKmSeESAHSgYPWqfOllOdb6wo8C1wEmIGbpZTr3HnPPaWwxKpIRzpZvdNLrh2OXHP+SCJD/fnnZ7v438Ys1mw9woSRcYiUKKLCAjD66a0p8iyYzdBkNmM2WwgKNBITHkh0eIDLFO/AYeMpXf+pVi5coVC0iSpVpuiQxF89xqEnLwWgPj+TpqoyDMEqaYui72LQ6zA4KFIjBkYCMC41tr0hbsf6dPBJYAJQB6wXQnwnpdzj0O1d4Cbr08Q3gZuB14BFwCIp5QdCiIeBh4H7gCeAtVLK2UKIa4EXgSuBicBSKeVvW4lxKTAKLQ3qcOArIcQoKWUjPkphaTUAsRFdde3wboXBWacPYfTQaJZ8uYef9+WzMT2Pjel5nQ+0EhcVxEnDYhg3IoZTxyQQFNC9Ko0BSQKdKZCGohwaSgswRsR1Pkih6GcoRVrRKY4uHlkLf6NcPBQKz3MOsEZKWQwghPgYuAx4zHqeAgRKKTda+y8BHhVCLAam0xzXsgQtcPw+YLb1GsD7wKtCCCMwCUgTQmwHioE7pZS7rP0/sKZBzRBCZKNldPrRPbfcc7pqkbY0+oYiDZCSEMYjN53G8bIatu4tICuvnIqqehoazTQ0mtHpwGBN/6jTQWVNA8dLa7TiSsXVrCrOZtWWbAJMBqaOS+S8ySlanuwuoDP4ETTsZKr2rqdKbiRissreoVC0RinSik4xBIYSMGg0tdma8SvrxZtJufMNL0ulUPQrEgHHCji5wKmdXE8GYoByB6uxrb3FGKsLSDkQC9SiWbdfBy4AlgkhRnWwRgusLiMRrZpP6OcJbMGGTivSZu3XZNF5X5G2ER0e2KUiLU1mC5nHyth1oIhNu/PYfeg4q7ccYfWWIwyK9ed6fSwTR8U7nXs9eNQUTZHeqxRphaIt3KpIO+HTNw94FK1qYibwaylliTtlUnSPxGsft7t4NFUWU5d/GP/4wd4VSqHoP2hOsc3o0PyUO7veuh2Hca01KR1gllL+1aFthRDib2guHZ3JYOMu4JG2biIjI4PS0tK2LrmchkYzpRV16HVwNOsAuU4ojvqiw1qRBIMf6enpbpfRnYyIgRFnRlA0PoifD1SwSZaTXVjH4//eRHyEiTNPiuCkISFtBt22oNGfQIORuqOS3VvWYQn0Tde+3v5+tUdfvK/eek+OQeyOuE2R7synTwgRhua/N0lKeVQI8RjwV+BOd8mk6BmD73mXw8/9CoCji+9myAMfq1LOCoVnyAGmOZwnAMdaXR/QxvUCIFwIYZBSNln72MYdtfbLEUL4odUMOC6E+D2aj/Rxaz8d0NDBGq1ZiOZC4kgysDY1NZXkZM8Yp48VVQKZxEQGcdJJY50aU53ZRN46QGdo90OzN3LWVC0/+9vLNrJRVpFfWstHPxbw/a4KLj5rOOecOogAU/vqQN6BU6iWm0imlPC0qR6U3DnS09P71Ptloy/eV1+8J3dWHLD79EkpqwCbT58NI3C7lNKW2HUnoOqQ+jB6/0DCHSpcZT51WQe9FQqFC1kFzBRCxAohgtAC/762XZRSZgG1QgiblnMtsFJK2QCsRQsiBLgOWGk9XmE9x3p9rbX/mcCNAEKIMwEDsM/af4EQwiCEGA6kAltaCyqlLJVSHnZ8oSnhHsXuH+1k6jsAfMhH2tUE+vtxxpgI3njgXP5wxXiSYkMoKKnh9c92ceMT3/LBt5KK6vo2x4aMmgJA1b6NbV5XKPoz7nTt6NCnz2rt+AxACBEI3A+83HoSX/K3U0D0zOsp2/i5/bz4+6VEnXWNFyVSKPo+1qd2DwLfASZgsZRysxBiBfAXKeVWYAHwhvVp3y/AS9bhtwFvCyEeArKBq63tDwNLhBC7gVLreNCeCi4RQlwH1ABXSynN1gDHyWhGD4AbpZQ17rvrntEdRdqWtcNbeaQ9gdFPz7mTU5g5aRCbdufy39X72X+klPe+3scna/Zz3uQU5kwbSkJ0sH1M0PAJ6AxGarP30lhZgl9IpBfvQKHwLdypSDvlTyeECEdTqHdIKd9uY567cKG/na/55vRKeeb+laDP/wpA6bpPOBaeCkbXV3brlb8bD+JL8viSLOD78nTn0aaUcimwtFXbhQ7HO2gZgGhrzwLOaqO9GDghesz6lPDcNtotwD3Wl8/T1UBDaA427IsW6dbo9TqmjE3ktLQB7DpYxMer97Mto5DP1x7ii58OMXlMAnOnDyNtaDR6/yACh46nev8WqvZtInziBd4WX6HwGdypSHfm04cQYgDwP2AN8H/tzLMQF/nb+ZpvTm+Wpy72OY6+qX2eBq34m8v9pXvz78YT+JI8viQLKHkUGgXF1hzSTpYHB7A0WkvK9wNF2oZOp+Ok4bGcNDyWgzmlfL72ED9uy7Hnrh6aGM7c6UOZICZTvX8LlbvXKkVaoXDAnYr0KuCvQohYoArNp+8W20UhhAH4AvhISvlEe5NYy5OXOrYJIdwgrqIr+CcMwRiTTEOR5vqY+dRlKr+0QqHwGXKPVwEwILoLirSPFGTxFsOSI/i/q0/hhtmjWbH+MCs3ZHLoWBkLP9hGXKie+/1N1OXso6E4F2PUgM4nVCj6AW4LNrQ+HrT59G1HiwLfLIRYIYSYiPZI8RTgMiHEdutrsbvkUbiegb99scV58ffve0kShUKhaEmeVZF29PXtjGYf6f5dYiEyLIAFF4zk3w+dx51XjmfwgDAKKsxsrRkIwKoPPiTzWJmXpVQofAO37had+PRtxb1ZQxQeYMgDH9uzd5Su+5iQtGmYYlQsqEKh8B51DU0cL6vFoNd1Mdiw/7l2dITJaOCcU7XAxF0Hi9j0bR0UHySmaBt3Pj+YscNjmTttKBNHJ3Sej1qh6KMoRVbRI3Q6HUk3PW8/z3n9zuYPI4VCofACNv/ouMggDIYufMz1c9eO9rD5Ud/0u8sgJIpoQyWjAovYeaCIJ97azK1Pr+bztQeprlV7v6L/oRRpRY/xjx9MuEPp2Mynr8JiaV1MTaFQKDxDrt2tw3n/aFA+0p2h0+mJOOksAO6cWMONc9OIiwoi93gVbyxL59ePf8Pi5el2txqFoj+gFGmFS4g+5/oW56pYi0Kh8BZ5RV33j4Zm146+nEe6p4RYFem6/ZuYOyWJf/35HB644VTShkVTXdvI8h8P8tu/reKpJZvZd7jYu8IqFB5AKdIKl9E6a8ehJy/1kiQKhaI/k2d17ei6Iq0s0p1hik7CP1lgqa+hcs9PGPQ6powdwN9uO4MX/u9Mzp44EL1ex4Zdufzp5bXc+/JaNuzKpcmsnlIq+iZKkVa4lCEPfNziPGdxr6jdoFAo+hC5Vov0gBjl2uEOwk4+D4CKX75t0T7cmj7v3w+dx+UzRxASaGTv4WKeWrKZ2/6+mpXrM6lraPKGyAqF21CKtMKl6HQ6hvz5I/t5fX4m+Z/9w4sSKRSK/kZ3Ut8BWBrrtQO90dUi9SmCR01BHxBCXe4B6nIPnXA9MiyA6y4czb8fPo+b52t+1MeKqlj0yU5+8/g3vP+/fZRV1nlBcoXC9ShFWuFydHoDKX9srvZetWcdx1ct8Z5ACoWi39BktpDfXdcOqyJtMShFuiP0Rn9Cxp4JQPm2b9rtF+jvx9xpw/jX/TO591cTGZ4cTnlVPUu/kfzm8W9Y9MkOjhVWekpshcItKEVa4RYMgSEM+v3r9vOyTV9Q8tPHHYxQKBSKnpNfXEVDo5mY8AAC/btWKsHSYLVIG/p3QRZnCDtFc++o3L0Wc11Nh30NBj3TTk7iH3edyVO3TWXiqHjqG82sXH+Y3/19NY+/uYmdBwpVtidFr0Qp0gq34RcWQ/ItL9jPS354n+Or3+5ghEKhUPSMnHzNwpkcH9rlsXbXDmWR7hRTTDIBA0dhqa+lMv0Hp8bodDrGDovhkZtO49U/zeDcUwfhZ9CzeU8eD762nrv+8QNrtmbT0Gh2s/QKhetQirTCrZhiB5H0m2fs52UbP6fwq9e8KJFCoejLHMmvAGBgNxRps821o5+XCHeWsImzACjb/CUWc9eCCAclhPGHK0/m3w+dxzXnCSJC/Dl0rIwX3t/GjU98w4ffSuVHregVKEVa4Xb8Bwwj+ebmgMOK7aso/PJVL0qkUCj6Ktk9UKSbXTuURdoZgkeehl94HA3FuVRnbO3WHBGh/lx9/kjefOhc7rxyPIMHhFFSUce7X+/jN49/wyv/3W7/cqRQ+CJKkVZ4BFNcCgNvfcV+XrFjjcozrVAoXE5OgVWRjgvp8lhLg2YBtSgfaafQ6Q2ET74IgNKNy3s0l8lo4JxTU3jp7rN4/LdT7H7U/9uYxW3PrOGRNzbwiyxQftQKn0Mp0gqPYYwaQMrd77RoU8q0QqFwFRaLhSNWH+luWaSVj3SXCR13tpYK76ik9si+Hs+n0+kYnxrHIzedxqJ7z2bWlMGYjAZ+2VfAI//awB+e/55fZIELJFcoXINSpBUexRAQzOD73m/RdujJS7FYVHCJQqHoGcXltdTUNRIaZCI8xL/L482NKmtHV9GbAgmbcD4ApRuWuXTugfGh3HbZON56+Dyuu3AUUWEBHM4t55F/beDJtzbZ84UrFN5E7RYKj6P3MzHkgY/JfOoye1vmU5eTcte/MQSHe1EyhcJ3EUJcAzwEGIGFUspXW10fDywGwoAfgd9JKRuFEIOAd4E4QAILpJSVQogI4D1gKFAIXCGlzBNCDADeAhIAM3CPlHKNEMIIHAccK3BMkFL6TKm65kDDrrt1gEMeaVWQpUuETbyQsk1fUL1/C3V5mfgnDHHt/MEmLp+Zyvwzh/H5j4f4cJVkY3oe2zIKuWX+WAYEKXcPhfdQFmmFV9DpdAx98JMWbVkLf0NVxhYvSaRQ+C5CiCTgSeAMYDxwixBidKtu7wJ3SClTAR1ws7V9EbBISjkS2Ao8bG1/AlgrpRwFvAG8aG1/FvhCSjkeuBpYKoQwACcBG6SU4x1ePqNEA2QeKwcgJSGsW+NVHunu4RcSYc8rXfLjB25bx+hn4NKzR/DafTOZNj6JuvomXv5oO0u/z6eyut5t6yoUHaEUaYVXGfrgJ0Sc0WyZzv/v0xQsf7GDEQpFv+QcYI2UslhKWQV8DNj/cYQQKUCglHKjtWkJcLnVijzd2t/ebj2ejWaRBngfmGXt/xmw1Np+AAgAQoBJQKwQYqsQYqMQ4kyX32UPOZhTBsCw5K4/2bJYLMpHugdEnH4JOqM/1fu3Unt0v1vXig4P5N5rJ/LHa04h0N9A+uEq/rjwR46qKokKL6AUaYXXiTrzahKvf9J+Xpn+I0HLH+m0WpZC0Y9IBHIdznOBZCeuxwDlUsrGNsbZx1ivlwOxUspPpJQl1j73ANuklGWABVgGTAFuBT4UQsS0FlQIESGEGOz4aiWr2zh4tBSAYUkRXR9sbgSLGXR60BtcKld/wBAcbs8rXfLj+530dg0zJgzkxT/OIDHKRO7xKv700o/sPnTcI2srFDbU8yuFTxCQPJIhf/6IzGeugSbtM//wc78ibv5dhIyZ5mXpFAqvo0dTZG3o0PyXO7veuh2HcbpW7S3mFELcBfwWOBNASvm6Q99tQohNwFSgdd6zu4BH2rqJjIwMSktL27rUY+oazBwtqMSgh8riI6SX5XRtgoZagmguxpKenu56IX0At95XhCDQz5+aQzvY8/2XmGMGu28tB265MIn3v89H5lTz4Gs/cdWZ8aQN7p6fvK/RF/8Oe+s9paWltdmuFGmFz6DTGxh6/4cUf/cepes/BaBg2UIKlr3I4Hv+g94/0MsSKhReIwdw/EaZABxrdX1AG9cLgHAhhMHqzzzAYdxRa78cIYQfEIoWTIgQ4hk014/pUsoca9u1wHop5UHreB3Q0IasC9FcSBxJBtampqaSnOwe4/SezONYyCRlQDjjx43t8vjGyhKyAYN/AND+h2ZvJj093e33VVw5j9K1HxGe+ROJZ85Gp2v9fc31pKen8/c/zOSN5el8tS6T938o4E8DB3LGuCS3r+1OPPF+eZq+eE/KtUPhc0TNWEDN2b93aLFw+LlfUfyDZx4XKhQ+yCpgphAiVggRBFwKfG27KKXMAmqFEFOtTdcCK6WUDcBa4Epr+3XASuvxCus51utrpZQNVkv0DGCqTYm2Mg64G0AIIYCTrXO3QEpZKqU87PhCU/Tdit0/Oql7mX9s/tF6P5PLZOqPRJw2F0NwBHXH9lO1d73H1jUY9Pz24rFcPnMEZrOFZ9/9mbXbjnpsfUX/RSnSCp/EEhrD0Ac/IXzyHHtb6U8fc+jJS6k9steLkikUnkdKeRR4EPgO2A4slVJuFkKsEEJMtHZbALwghNiHFhz4krX9NrQsH3vQrNoPWdsfBk4TQuy29rldCKFDc8uIA74XQmy3vhKBx4A4IUQ6WvDidVJKn6ndbPePTo7o1nhbxg6dUSnSPUFvCiRyuva9rXjNu5it1SI9gU6n49pZo7jinFTMZgvPvbeVn3YoZVrhXpRrh8KniT7nBiKmXkbWP663tx17R9MDkm9ZiCl2oLdEUyg8ipRyKc3ZNGxtFzoc7wBObWNcFnBWG+3FwNw2lorsQIzLOrjmVfYdLgZgxMCIbo23WaR1fl0v5KJoSej4mZT/vJL6gmxKfnif6HNu8NjaOp2OX10wEh3w4aoMnnv3Z0xGA6eOTvCYDIr+hVKkFT6PITCEoQ9+QtX+reR/9Dd7e86/7gJg4O2LMEbEe0k6hULhbUrKazlaWEWAycDQHrp2KIt0z9HpDcTOvp2jS/5M2aYvCR45hYBk4bn1dToWXDCS+kYzn31/gKff3sJfbpzM+NQ4j8nQFtW1DezJLCY7r5zc49XkH6+iuraR2vpGGhrN+PnpMfrpMfkZMPrpMTfWMHBfE2HBJoeXPxGh/oSHaNU7/QzKscDbKEVa0WsIHjGRoQ9+QumGZRSv+Y+9/cirtwEw4NrHCRzUukaFQqHo66RbU56NHBzVbcXC5oKgfKRdg3/icCKmzKd0/acUfvEySTc+h94U4LH1dTodv75oNHX1jaxYf5gn3trMozdPYczQaI/JAFBWWcearUfYmJ6LzCqhydy1Kozphzsugx4aZLQq1v5E2F6281DrK8SfsGATgf5+Hgn+7G8oRVrR64iYMp+IKfNbZPcAyP2PVrAtfMp8omYsQKdT39QViv6ALXdw2rDuK0l2H2mlSLuMyGlXUH1gK/UF2RSvfoeYWbd4dH2dTsdvLz6JuoYmVm85wqOLN/LkraczYmBH3kuuIfNYGZ+sOcC6ncdobNKySup1IFIiSR0USUJ0EAnRwYQFmfA3aRbopiYLDY1m6hubqKtvYm/GIcKj4imvqqe8qo7yqnrKKusoq6yntKKO8qo6KqobqKhu4Eh+58Vo9DoICjASHGgk2PYz0K/Vue24uT0kyERUmD9GP5VfvS2UIq3otUTNWEDUjAWUbvqC4lVL7O1lG5ZRtmEZhpBIYmffStDwCd4TUqFQuB27Ij30hPowTqNcO1yPzs9I7Nw7OfrWfZT/8j+CRkzw+H6s1+v4/RUnU1ffxE87jvHIvzbw1G1nMHhA98rId0ZpRR3vfr2XbzZlYbGATgcTR8VzzqmDGDcilpBA56tmGhsKSEsb0u71JrOFCqtyXVpRR0llnf24rLKOEuvP0kpNCa+rb6KypoHKmrayVnZORKg/MeEBxEQEEhMeSEJMMAPjQ0lJCCUqLKDfWruVIq3o9URMnkPE5DnU5R7k6Fv3a9XJgKbKEvI+fAoAY0wyUTN+RdCIif32n12h6IuUVdZxOLcco5++24GGoIIN3YV//GCizrqG4tXvUPjlIpJveQFDkHuU2PYw6HXcvWAC9Q1mNu/J48HX1vHITaeROsh1lumGRjNfrD3Eh6sk1bWNGPQ6LjxjCPOnDyMuKshl6zhi0Ovs7hspAzrv39hkpqqmgeraRqpqGrRXrePPxuZzh2sVVfUUV2gKemlFHQesqSYdiQoLYMzQaMYMjebU0QnERvafug9KkVb0GfwHDGPoA//FYm6ibPOXFK9+x36toSiH/P8+DWiPbkPHn0PYxFkYowYoxVqh6MVs3ZsPwJih0ZiM3X/03FSr+aLq/d2j9PRnwk+9iOr9P1ObvZvCL18l/rJ70Xm4DLufQc99103kqSWb+XlfAQ++to4/33Aqp4ieBSBaLBY2787jzS92k1uk/Q1NGBnHjXPTGBgf6grRXYafQU94iOY/3VWamsyUVNRRVFZDUan2OlpYRXZeOVl5FRSX17J2+1HWbj/KPz/dyZih0Zx5chIzJgwkwL9vq5p9++4U/RKd3kDEafOIOG0e5sZ6Std9StmGZViatMdZlsZ6yreuoHzrCgAMIZEEj55KaNqZmBKGKMVaoehFbNqdB8BpaU6Y5DrAXKP5mBoCfUv56Qvo9AZi597B0Tfupnr/VopW/JOY2bd6PI7FZDTw0G8m89KH2/ju5xweW7yROy4fxzmnpnRrvqzcchYvT2f7/kIAkuNCuHFuGhNH9b0sUgaDXnPpiAiEVr8us9lCTkEFuzOL2SYL+HlvPrsPHWf3oeP8Z+U+5kwbykVnDCE0qG+6TSlFWtGn0fuZiDrzKqLOvAqLxUz1/p8p//l/1BzaZu/TVFlC+eYvKd/8pb3NGJNMQPJIAgaNInDwOG+IrlAoOqG2vpGf9xUAMHlMz/IEm2u02jL6wJAey6U4EWN4HPFX/Jm89x+nYscadKYAos/9jccNF34GPXdddQoRoQF89v0BXvxwO+mHjnPT3DRCnFT0Ckqq+e/q/Xyz8TBmCwQHGrnmPMGFU4f0y3R0er2OQQlhDEoIY9aUwVTXNrAxPY8V6zORWSUs/d8+lv1wgAXnjyQlomtZS3oDblWkhRDXoFXRMgILpZSvtro+HlgMhAE/Ar+TUja6UyZF/0Wn0xOcOong1EkAWMxNVB/4hYqd31GdscXuWw2aK0hDUQ4V21cBEAQc+sKAf8JQjNGJGKMSMcUMxC8yHmNkPHpT//EHUyh8hR0ZhdQ3NDF8YIRmKesBTbXKIu1uAgeNJv7y+8j76G+Ub1mB3hhA1IwFHpdDr9fxmzljGBgXwj8/3cnqLUf4eV8BV52TyrmTU9p1EcopqGDZDwdZvSWbxiYLeh1cePpgrjl/ZLfcJfoqQQFGzp44kBkTkkk/dJyPvs1g+/5C3lieTnyEif8LSfR4GkJ34jZFWgiRBDwJTADqgPVCiO+klHscur0L3CSl3CiEeBO4GXjNXTIpFI7o9IaWirXFQmN5IXU5GdRk7qD22H4aCo80DzA3UXdsP3XH9rc5nyE4AnNtFcaYZC1fqt6A/4BhWJoaMEUnYW6sxxgeDzowhEajN5rQGf3RmwLR+WnHyq1EoXCe73/JAWBKD906oJVFuqbH0ynaIWjoeOIv/iP5nzxH6fpP0ZkCiJx6qVdkOXdyCiIlklf+u4O9h4v552e7eGflXiaOimfEwAjCgk3U1TdxtLCKXQeLOHRUC7LT6WD6+CSuPDeVQQmeDZzsTeh0OsYOi2HssBg2787jX8t2kV9czZ8X/cQlZw1nwQWjMPr1fgu+Oy3S5wBrrGVoEUJ8jFZe9jHreQoQKKXcaO2/BHiUVoq0ECICiGg1d7K7hFb0X3Q6HcbwOIzhcYSMOcPebrFY2LN5LYMj/KkvyKa+IIvGskIaio9hrqu292uqKgWgPj/T3labld41IfR+6E0BWJoasTTUYoxOQmcw0lCahzEqEb3RH/R6/KtqyN0VCujR6fWg04NeT1NFMfqAIPT+wY435uwvoOUpbYxrYy5TaSkFB1d3sp6uw9P2G1vJ5MQ4U2kJhVlr2+rYaljrydq639anreTxMxI26UJVWdMLlJTXsmFXLnq9jpmTBvZ4viarj7Q+MBRqans8n6J9gsVk4ub+gYLlL1LyvVb13lvK9KCEMJ6+/Qw27Mrl4+/2c+BIKT9uO8qP246e0DfQ348zxiVy8VnDfS6Q0Nc5dUwC41NjeWXpT/ywq5RPvjvANlnI3QtO6fVfRtypSCcCuQ7nucCpnVxvS0G+C3ikrQUyMjIoLS3tklDp6V1UbNyMkqd9fEkWgqPIbAAiR2kvRywWaKhBV1uJrrFW+1mjWS705QVYjP7oy3Kx+IeiLz2KxT8YzE0YSo9hDghF19SIrsFqAjM3Yq5tTqzfcLx5M6/PO2Q/NgA1Re662a7hB1TmeFuKZvyAiizPrVdUVknDyBkd9mn9t5yWluZOkfoF327Opsls4bS0BKLDe+5aZbNIGwJDAKVIu5uQtGlYmhoo/HIRJd8vpam6nOgZv0Ln53yeZVeh1+uYOi6RqeMSOVpYyfaMQo7kV1Bd24CfQU9cVBBiUCSjh0bj34PMMP0dk9HAeROimTV9LM8v/ZlDx8r4vxd+4IaLxnDRGb030N+dirQecPQq1wHmLly3sRDNWu1IMrA2NTWV5GTnjdPp6ek+9QGm5GkfX5IFPCOPxdykWaIb67E01FmPGzA31GFprEen02Exm8FiJvPQIQanDAKL2d5mrq8Bsxmd0cFXz9JWYEcbbZbWp231aXuunJyjJCcntTv1iZM7F2xiOaFf53KDhaNHj5KUlNS19Zz4PbXVRefnR/DIKRgCgk+8aMXX/pb7AvUNTaxcrz35mTWl/YIVXaGFRRof+ZbaxwkddzboDRR+8Qrlm7+k9nA6MRf+joCkEV6TKSk2hKRYFXDqTkYNieKlu8/ijWXprNqSzb+W7eLnffncedXJRIZ6roy8q3CnIp0DTHM4TwCOtbo+oIPrAEgpS4FSxzYhhKtkVCh8Bp3eoOVWNfpDJwFP5kodQcN8Qzlr0qUT6kOKYrYxnTAfkkfher5al0lRWS0pCaGMT43t8XyWpkYs9TWg06s80h4mdOyZGKMGULBsIfUFhzm25M+Ejp9J1IwFHi/covAcQQFG7rzqZCaOjueVj7bz874C/vDc91pbL0sf6E4v71XATCFErBAiCLgU+Np2UUqZBdQKIaZam64FVrpRHoVCoVD0ciqq6/loVQYAN1w0Br2+54+Dm63RIb328XJvJiApleSbnyd8ynzQG6jYvoojr/2e8p+/xmJu8rZ4Cjcy9aREXr5nBicNj6G0so5HF2/k9U93UlPXexK4uU2RllIeBR4EvgO2A0ullJuFECuEEBOt3RYALwgh9gEhwEvukkehUCgUvRuLxcLLH22nsqaBk4bHMGFkz6rS2WjpH63wBnpTINFnX0vyzc8TOGQc5tpKir5+g6Nv3kPZ1q9pqq7wtogKNxETEchjvz2dG2aPxqDX8eW6TG5/dg2b9+R5WzSncGseaSnlUmBpq7YLHY530DIAUaFQKBSKNln2w0E27MolKMCPOy4f7zLrcUOxFvfuFxbjkvkU3ccUk0zC1Q9TJTdy/Nsl1Bdkc/x/b3D827cIGn4KoWPPImj4KV4JSlS4D4Nex6Vnj2Bcaiyv/Hc7B3PKePzNTUwek8CCC0YyJDHc2yK2i6psqFAoFAqfxmKx8Nn3B3jrS60MwR2Xj2dATPsBnl2lLvcAAP4DhrlsTkX30el0hIycQtCwU6jO2EzFzh+oydxBdcZmqjM2ow8MIWTUVIJSJxGQrGKm+hLDkyN4/g/T+XJdJu+u3Mum3Xls2p3H1HGJXDpjOMOTI3zO/Uop0gqFQtEL6G6lWCHEILTiV3GABBZIKSutOfrfA4YChcAVUso8IYQJeBOYiFaa5Bop5T4hhA54FrgILcPSzVLKdW6+bY7kV/DvL3azdW8+ALdeehLTxid1Mqpr1OUeBMCkFGmfQm/0J2TMNELGTKOxooTK3Wup3PU99QVZlP/yP8p/+R/o9ASExVF09GQCBo7CFJeCMTIenUFZrHsrBoOeedOHMW18Eh+v2c/XGw6zbscx1u04xqCEUGZOHMik0Qkkx/lGTINSpBUKhcLH6WGl2EXAIinlB0KIh4GHgfuAJ4C1UsrZQohrgReBK4E/AFVSylFCiOlo6UdPQwsYHwWMBoYDXwkhRkkp3RYV9P7/9vH+txKLBYIDjdxx+TjOGOdaJdrcUGe3SAcMGO7SuRWuwy80kojT5hJx2lzq8g9TuXsttdl7qMs9hL4sj/KtKynfas1XoNPjFxGHKToJQ1g0huAIDIGh6E0B6EwB6I3+1p8BzdVljf7adYNSi3yFqLAAbpk/lktnDOez7w/y3c9HyM6r4K0v9/DWl3uICvMnbWgMgwaEMjAulAExwYQFmwgL9vdoxcTe+hdjAMjL65ojekFBATk5vlM5QsnTPr4kCyh5OsKXZIHeIc/MmTMHAzldUEK7VSlWCLEYmA7Md2j/AU2Rnm29BvA+8KoQwmht/wuAlPJHa+alQdb2D6SUZiBDCJENnI5m/bbTTjXaFOj6nr0nIxNzbSlTxyUy54whRIRaXP7elvz4IZWFxfhFJmAsr0VXkeNzf0Ouou/clx+kzoDUGRgb6zm49Sdi/eqoyz1EY2kuTeXFUJENR7K7PrXOgM7kj87PH72fCfQ60OnRWavH6nRaJdnmirLa9TZzN5xgLD3Retraoho0/GSCR04B+tL71Ux37+mCCRGcMz6cXQcL2bI7n32Hi8nPKyY/L7fN/gH+fgQHGvHT6zH66TAY9BgNevwMeqafnMSpYxK6LEN7+3ZvVaQHACxYsMDbcigUCkV3yASGAIed7N/dSrExQLnDxu9YQdY+xuoCUg7EdjBXj6vRdnfP3v8tLHmuW0O7QAa8eY67F1EoOuETbwvQ51n5VreHtrlv91ZFegtasZdcwNkkk8nAWus4X/iKp+TpHbKAkqe3yAK9S56uyNfdSrGt23EY19o81t6Yztpbs5ATq9Ga0Hyx9+P8nu0tfO1vyFWo++pd9MX76gv3dILcvVKRllLWAT91ZYxDNcQc+f/t3X2MHVUZx/HvUittKNCaomC1BoL71BqlpqgN1EKkMWoISHjTNmIDpTWlmihgTG2VQoQIAbEt1ShUCeVFgdQXXgxRICEINRhKsZUHxFYFMRhxbXjZUqX8cc5lh8u9tHf2zMvu/D5J073n3u0888yZZ05n5s5x3546pl4pnu7qFAsonjdTp1hgVMeTd6bYZ4EDzWyMu/8/fqb1e0/Hzz1lZm8B9gf+nfm3nmz7t3LPRhs9vod1rIW69aFUtF4jy2hcr9G4TlDszIYiIpJGrpli3X0X4QzQ6bH9DIZmkL0jvia+f1/8/GvtZjYbGHT3v8X2+WY2xswOB/oJVwdFRBpLA2kRkZob5kyxS4BFZraVcFZ7eWxfAcwysy3xM+fE9tXAvrF9FWFQDnALsAXYDPwCOMvdXypifUVERooReWuHiEjT5J0pNp6tPrZD+3PACR3aB4EvdGjfDZwX/4iICM06Iz0ArKTzvXtVGEDxdDNAfWIBxfNmBqhPLKB4ZPgGGJ3bbACt10gywOhbrwFG3zrRt3t3+xe6RURERERkT5p0RlpEREREJBkNpEVEREREcmjMlw3NbB7h2+pjgSvd/aoSlvkt4LT48nZ3/5qZ/RiYDbwQ21e6+wYzmwFcDRxAmHL3iz1MH7y38dwDvB3YFZsWE54dewUwHvipuy+Pny00HjNbCCzNNB0KXAfsR4n5MbMDgN8Bx7v7djObSw/5iFMnryfk1YH57v58wngWAV8mTITxELDY3V+OfetM4D/xV3/k7leljKdDLD313SJzA0wHLs68PQXY6O7Hl5SbTvt2pX1H0qjiWJFKnWp8CnWrz6nUrbam0OSa2Igz0mY2Bfg2oaPOIDwKanrBy5wLfAL4UFzmTDM7CTgSmOPuM+KfDfFX1gNL3b2fMGPY2Ynj6SM89/WI1rIJj7FaB5wIvA/4sJl9qox43P3qTBzzCRNHXECJ+TGzjxIm9umPr8fTez7WAmvdfRphoLsiYTz9wPnAUcAHCftr6xFlRwKfzeSpdbBPEk97LJll9rJtCsuNu9+R6T+fBHYAX8nEWWRuOu3bn6PCviNpVHGsSKVuNX646lafU6lbbU2h6TWxEQNpYC5wt7s/5+4vEJ6HekrBy3wGONfdX46THPwJmBr/rDOzzWa20sz2MbP3AOPd/cH4uz8BTk0cT2tKobvM7BEzW0p4VNYT7r4tnolYD5xaUjxZ3weWAS9Sbn7OJgxMW7Oz9ZQPMxsLzCH0pxRxtcezE1ji7jvio8ceJeQHQuFdFvO0xszGJY7ndbHESUD2etuUkJusy4AfuPsT8XXRuem0b/dTbd+RNKo4VqRS5xqfR93qcyp1q60pNLomNuXWjncSNnTLM3R43mpK7r6l9bOZvZdwyeNjhOe5LgH+C9wGnAX8sUN870oc0iTgt8CXCJcs7wW+02W5nfKVOh7gtf/Jjnf3m83sMOBuSsqPuy+MMbSauq13t/bJwI7M5dBhxdUej4fn//41th1EuBVmgZlNAB4mnK3+M6HgrADWpIqnQ24OprdtU2huWuK+dSzQer+M3HTat1dTYd+RZEo/ViRUyxqfV93qcyp1q60pNL0mNmUgvQ/hHtOWPuCVMhZsZu8HbgfOd3cHTsq8t5owFe/WouNz9weABzLLvga4kHCJqX25ZeZrMeEeKtz9L1SUn6jbeu9tO0XEFS833wlc4+73xuZPZ96/nHAJbW1R8eTYNqXkBlhEuBS4M8b5PCXlJrtvA//j9Zdqa9F3pGeVHSuGq8Y1PpVa1ufhqnFt7VlTa2JTbu14Cjgk8/pgOl8iTsrMjiacIfi6u19rZh8ws5MzH+kjfCmk8PjMbLaZHde27O1dlltKvszsrcAxwC/j68ryE3VbTrf2Z4EDzWxMbD8kdVxmNo3wpZRr3f2i2DbVzM7MfKyVp8LiybFtCs9N9BngpkycpeSmfd+mhn1HcqnkWJFCHWt8YqNyH6txbe1Jk2tiUwbSvwGOM7OD4v1IJwO/LnKBZvZu4OfAPHdvHej7gCvNbFK8H2gRsCFewh+MHRHg84QzkClNBC6L94vuT5gCeFkI1Q6PnXcecGdJ8UD4At3j8V5EqDY/ABvpIR/xXrD7gNNj+xkp44rb6S5gubtfnnnrJeBSMzs0fsHoHEKeioynp21TdG4AzGwy4bagbZnmwnPTZd+uVd+R3Eo/ViQ0kfrV+JRG6z5Wu9raq6bXxEYMpN39aeAbwD3AJuAGd/99wYs9DxgHXGFmm8xsE+HpC5cA9xMu22xy9xvj5+cD3zWzx4AJwKqUwbj7bYRLLg8DfwDWxUuBC4BbYzyPMXSjf6HxRIcR/nfainEzFeUnLn+Q3vOxhPDN/q2Ee+CXJwxpIfAO4NxWHzKzC939X4RbYn5FeERQH9AaaBcST85tU2RuoK3/xDjLyE2nfXsB9eo7kkNFx4okalrjk6lhfU6iprW1V42uiZoiXEREREQkh0ackRYRERERSU0DaRERERGRHDSQFhERERHJQQNpEREREZEcNJAWEREREcmhKTMbSoOZ2SpgTnw5HdhGeN7wNGClu19SVWwiIvJGqtsyUujxd9IoZrYdOMXdH6o6FhER2TPVbakznZGWxjKzC4DJ7r40FuobgI8Dk4BLgaOBmYTpWk9w93+Y2RRgDTAVGAvc5O4XVxC+iEjjqG5L3egeaZEh49x9FvBN4IfA99z9CODvhBmaAK4jzBg2E/gIMNfMTqsiWBERUd2WaumMtMiQW+PfTwL/dPdHMq/fZmb7AcfEny+K700AZgA/KzNQEREBVLelYhpIiwzZmfl5V4f3xwB9wFHu/iKAmU0GBkuITURE3kh1WyqlWztE9pK77wAeBL4KYGYTgfuBEysMS0REulDdlqJpIC3Sm3nALDN7FNgI3Oju11cck4iIdKe6LYXR4+9ERERERHLQGWkRERERkRw0kBYRERERyUEDaRERERGRHDSQFhERERHJQQNpEREREZEcNJAWEREREclBA2kRERERkRw0kBYRERERyeFVzOjeSuSOpEAAAAAASUVORK5CYII=\n", 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\n", "text/plain": [ "
" ] @@ -207,15 +253,17 @@ " super().__init__(*args, **kwargs)\n", " \n", " def fit(self, durations, right_censor, weights=None):\n", + "# q1, q2 = np.quantile(durations, [0.05, 0.95])\n", " params = self.d_type.fit(durations[right_censor == 1])\n", - " params = list(params)\n", - " params[1] = params[1] / np.sqrt(1.5)\n", - " self.durs = self.d_type.rvs(*params, size=1000000, random_state=42)\n", - " self.events = np.random.choice(right_censor, size=1000000, replace=True)\n", + "# params = list(params)\n", + "# params[1] = params[1] / np.sqrt(1.5)\n", + " self.durs = self.d_type.rvs(*params, size=100000, random_state=42)\n", + " self.events = np.random.choice(right_censor, size=100000, replace=True)\n", "# self.durs = np.hstack([durations.copy(), self.durs])\n", "# self.events = np.hstack([right_censor.copy(), self.events])\n", "\n", " ind = (self.durs >= durations.min()) & (self.durs <= durations.max())\n", + "# ind = (self.durs >= q1) & (self.durs <= q2)\n", " self.events = self.events[ind]\n", " self.durs = self.durs[ind]\n", " super().fit(self.durs, self.events)\n", @@ -226,6 +274,20 @@ " sf[times > self.timeline[-1]] = 0\n", " sf[times <= self.timeline[0]] = 1\n", " return sf\n", + " \n", + "class KaplanMeierZeroAfterEmp(KaplanMeierZeroAfter):\n", + " \"\"\"\n", + " Nonparametric model with virtual events generated by bootstrap meaning\n", + " \"\"\"\n", + " def __init__(self, n=2, *args, **kwargs):\n", + " self.n = n\n", + " super().__init__(*args, **kwargs)\n", + " \n", + " def fit(self, durations, right_censor, weights=None):\n", + " self.durs = np.random.choice(durations, size=(self.n, 1000), replace=True).mean(axis=0)\n", + " self.events = np.random.choice(right_censor, size=1000, replace=True)\n", + " \n", + " super().fit(self.durs, self.events)\n", "\n", "y_ = y\n", "X_ = X\n", @@ -238,33 +300,42 @@ "km1.fit(y_[\"time\"], y_[\"cens\"])\n", "sf1 = km1.survival_function_at_times(bins_HO)\n", "\n", + "km2 = KaplanMeierZeroAfterEmp(2)\n", + "km2.fit(y_[\"time\"], y_[\"cens\"])\n", + "sf2 = km2.survival_function_at_times(bins_HO)\n", + "\n", "ibs_sf = metr.ibs_remain(y, y_, np.repeat(sf[np.newaxis, :], X_.shape[0], axis=0), bins_HO)\n", "ibs_sf1 = metr.ibs_remain(y, y_, np.repeat(sf1[np.newaxis, :], X_.shape[0], axis=0), bins_HO)\n", + "ibs_sf2 = metr.ibs_remain(y, y_, np.repeat(sf2[np.newaxis, :], X_.shape[0], axis=0), bins_HO)\n", "\n", "auprc_sf = metr.auprc(y, y_, np.repeat(sf[np.newaxis, :], X_.shape[0], axis=0), bins_HO)\n", "auprc_sf1 = metr.auprc(y, y_, np.repeat(sf1[np.newaxis, :], X_.shape[0], axis=0), bins_HO)\n", + "auprc_sf2 = metr.auprc(y, y_, np.repeat(sf2[np.newaxis, :], X_.shape[0], axis=0), bins_HO)\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", "\n", "axes[0].step(bins_HO, sf, label=\"Original events\")\n", "axes[0].step(bins_HO, sf1, label=\"Virtual events\")\n", + "axes[0].step(bins_HO, sf2, label=\"Emp virtual events\")\n", "axes[0].legend()\n", "\n", "sns.kdeplot(km.durs, ax=axes[1], label=\"Original events\")\n", "sns.kdeplot(km1.durs, ax=axes[1], label=\"Virtual events\")\n", + "sns.kdeplot(km2.durs, ax=axes[1], label=\"Emp virtual events\")\n", "axes[1].legend()\n", "\n", "axes[0].set_xlabel(\"Time\")\n", "axes[0].set_ylabel(\"Survival probabilily\")\n", "axes[1].set_xlabel(\"Time\")\n", "print(f\"SF IBS:{ibs_sf:.5f}, AUPRC:{auprc_sf:.5f}\")\n", - "print(f\"SF1 IBS:{ibs_sf1:.5f}, AUPRC:{auprc_sf1:.5f}\")" + "print(f\"SF1 IBS:{ibs_sf1:.5f}, AUPRC:{auprc_sf1:.5f}\")\n", + "print(f\"SF2 IBS:{ibs_sf2:.5f}, AUPRC:{auprc_sf2:.5f}\")" ] }, { "cell_type": "code", "execution_count": 101, - "id": "42b8799d", + "id": "564450b8", "metadata": {}, "outputs": [ { @@ -303,7 +374,7 @@ { "cell_type": "code", "execution_count": 110, - "id": "09e85887", + "id": "48c16253", "metadata": { "scrolled": false }, @@ -470,7 +541,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 132, "id": "05df1935", "metadata": {}, "outputs": [], @@ -491,13 +562,16 @@ " bins_ = cnt.get_bins(time=time)\n", " y_v = cnt.get_y(cens=cens, time=time)\n", " \n", - " for th in [\"\", stats.norm, stats.gamma, stats.laplace, stats.laplace_asymmetric, stats.rayleigh]:\n", - " if th != \"\":\n", - " suff = th._ctor_param[\"name\"]\n", - " km = KaplanMeierZeroAfterTh(th)\n", - " else:\n", + " for th in [\"\", 2, 4, 6, stats.norm, stats.gamma, stats.laplace, stats.laplace_asymmetric, stats.rayleigh]:\n", + " if th == \"\":\n", " suff = \"km\"\n", " km = KaplanMeierZeroAfter()\n", + " elif isinstance(th, int):\n", + " suff = f\"Emp({th})\"\n", + " km = KaplanMeierZeroAfterEmp(th)\n", + " else:\n", + " suff = th._ctor_param[\"name\"]\n", + " km = KaplanMeierZeroAfterTh(th)\n", " km.fit(y_v[\"time\"], y_v[\"cens\"])\n", " sf = km.survival_function_at_times(bins_)\n", " \n", @@ -523,10 +597,24 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 133, "id": "63653cd3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "IndexError", + "evalue": "index -1 is out of bounds for axis 0 with size 0", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", + "Input \u001b[1;32mIn [133]\u001b[0m, in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 11\u001b[0m d \u001b[38;5;241m=\u001b[39m print_metric_by_nonparam(df, subsample\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.3\u001b[39m, prefix\u001b[38;5;241m=\u001b[39mds_name)\n\u001b[0;32m 12\u001b[0m l\u001b[38;5;241m.\u001b[39mappend(d)\n\u001b[1;32m---> 13\u001b[0m d \u001b[38;5;241m=\u001b[39m \u001b[43mprint_metric_by_nonparam\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msubsample\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.05\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprefix\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mds_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 14\u001b[0m l\u001b[38;5;241m.\u001b[39mappend(d)\n\u001b[0;32m 16\u001b[0m df_res \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(l)\u001b[38;5;241m.\u001b[39mT\n", + "Input \u001b[1;32mIn [132]\u001b[0m, in \u001b[0;36mprint_metric_by_nonparam\u001b[1;34m(df, subsample, prefix)\u001b[0m\n\u001b[0;32m 26\u001b[0m km \u001b[38;5;241m=\u001b[39m KaplanMeierZeroAfterTh(th)\n\u001b[0;32m 27\u001b[0m km\u001b[38;5;241m.\u001b[39mfit(y_v[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m\"\u001b[39m], y_v[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcens\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m---> 28\u001b[0m sf \u001b[38;5;241m=\u001b[39m \u001b[43mkm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msurvival_function_at_times\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbins_\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 30\u001b[0m ibs_ \u001b[38;5;241m=\u001b[39m metr\u001b[38;5;241m.\u001b[39mibs_remain(y_v, y_v, np\u001b[38;5;241m.\u001b[39mrepeat(sf[np\u001b[38;5;241m.\u001b[39mnewaxis, :], y_v\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m], axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m), bins_)\n\u001b[0;32m 31\u001b[0m auprc_ \u001b[38;5;241m=\u001b[39m metr\u001b[38;5;241m.\u001b[39mauprc(y_v, y_v, np\u001b[38;5;241m.\u001b[39mrepeat(sf[np\u001b[38;5;241m.\u001b[39mnewaxis, :], y_v\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m], axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m), bins_)\n", + "Input \u001b[1;32mIn [129]\u001b[0m, in \u001b[0;36mKaplanMeierZeroAfterTh.survival_function_at_times\u001b[1;34m(self, times)\u001b[0m\n\u001b[0;32m 43\u001b[0m place_bin \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msearchsorted(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtimeline, times)\n\u001b[0;32m 44\u001b[0m sf \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvival_function[np\u001b[38;5;241m.\u001b[39mclip(place_bin, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)]\n\u001b[1;32m---> 45\u001b[0m sf[times \u001b[38;5;241m>\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtimeline\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 46\u001b[0m sf[times \u001b[38;5;241m<\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtimeline[\u001b[38;5;241m0\u001b[39m]] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m sf\n", + "\u001b[1;31mIndexError\u001b[0m: index -1 is out of bounds for axis 0 with size 0" + ] + } + ], "source": [ "from survivors.datasets import DATASETS_LOAD\n", "\n", @@ -546,326 +634,10 @@ "df_res = pd.DataFrame(l).T" ] }, - { - "cell_type": "code", - "execution_count": 105, - "id": "0a162c21", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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01234567891011
kmIBS0.1856170.1943610.1960990.2095450.1931020.2116330.1707810.1864880.2053270.1996430.1723170.172573
kmAUPRC0.5937260.5926330.6056030.6301190.5693680.5651220.5974550.5896270.8430640.8476030.2819130.283134
normIBS0.1597140.1825160.1651120.1964750.1516870.2066780.126330.1458810.157750.1550430.1788610.179674
normAUPRC0.6515880.6567840.6665510.6814010.6202640.6164150.6433550.6461120.8728830.8734310.3295080.329049
gammaIBS0.15820.1894490.1671210.2120370.1595970.2290440.1292730.1476750.1663130.1603710.1699310.170249
gammaAUPRC0.6320590.6129010.6072330.6064230.5321310.5392040.6153030.6159230.8412990.8401160.2807290.280798
laplaceIBS0.1631260.1829040.1655790.1921580.1513020.2012630.1302890.1497350.1625610.1593050.1800940.180802
laplaceAUPRC0.6333620.6440670.6453820.6698590.5913660.6006590.6247020.6283750.8650450.8660330.2952040.295397
laplace_asymmetricIBS0.1586040.1789770.1655190.1917880.1499870.199890.1322160.1487720.1669650.1617520.177560.178224
laplace_asymmetricAUPRC0.6304190.6443030.6280050.6666740.5769390.5982630.6079570.6148070.8502970.8597490.2953860.295492
rayleighIBS0.1589380.1805580.1641930.1933170.1499130.2026850.1266790.1459590.1599030.1568540.1778340.178612
rayleighAUPRC0.646180.6502610.6556780.6717620.6115730.6097770.632930.6357060.8681910.8691770.3233240.322934
datasetGBSGGBSGPBCPBCWUHANWUHANrott2rott2smartosmartosupport2support2
subsample0.30.050.30.050.30.050.30.050.30.050.30.05
\n", - "
" - ], - "text/plain": [ - " 0 1 2 3 4 \\\n", - "kmIBS 0.185617 0.194361 0.196099 0.209545 0.193102 \n", - "kmAUPRC 0.593726 0.592633 0.605603 0.630119 0.569368 \n", - "normIBS 0.159714 0.182516 0.165112 0.196475 0.151687 \n", - "normAUPRC 0.651588 0.656784 0.666551 0.681401 0.620264 \n", - "gammaIBS 0.1582 0.189449 0.167121 0.212037 0.159597 \n", - "gammaAUPRC 0.632059 0.612901 0.607233 0.606423 0.532131 \n", - "laplaceIBS 0.163126 0.182904 0.165579 0.192158 0.151302 \n", - "laplaceAUPRC 0.633362 0.644067 0.645382 0.669859 0.591366 \n", - "laplace_asymmetricIBS 0.158604 0.178977 0.165519 0.191788 0.149987 \n", - "laplace_asymmetricAUPRC 0.630419 0.644303 0.628005 0.666674 0.576939 \n", - "rayleighIBS 0.158938 0.180558 0.164193 0.193317 0.149913 \n", - "rayleighAUPRC 0.64618 0.650261 0.655678 0.671762 0.611573 \n", - "dataset GBSG GBSG PBC PBC WUHAN \n", - "subsample 0.3 0.05 0.3 0.05 0.3 \n", - "\n", - " 5 6 7 8 9 \\\n", - "kmIBS 0.211633 0.170781 0.186488 0.205327 0.199643 \n", - "kmAUPRC 0.565122 0.597455 0.589627 0.843064 0.847603 \n", - "normIBS 0.206678 0.12633 0.145881 0.15775 0.155043 \n", - "normAUPRC 0.616415 0.643355 0.646112 0.872883 0.873431 \n", - "gammaIBS 0.229044 0.129273 0.147675 0.166313 0.160371 \n", - "gammaAUPRC 0.539204 0.615303 0.615923 0.841299 0.840116 \n", - "laplaceIBS 0.201263 0.130289 0.149735 0.162561 0.159305 \n", - "laplaceAUPRC 0.600659 0.624702 0.628375 0.865045 0.866033 \n", - "laplace_asymmetricIBS 0.19989 0.132216 0.148772 0.166965 0.161752 \n", - "laplace_asymmetricAUPRC 0.598263 0.607957 0.614807 0.850297 0.859749 \n", - "rayleighIBS 0.202685 0.126679 0.145959 0.159903 0.156854 \n", - "rayleighAUPRC 0.609777 0.63293 0.635706 0.868191 0.869177 \n", - "dataset WUHAN rott2 rott2 smarto smarto \n", - "subsample 0.05 0.3 0.05 0.3 0.05 \n", - "\n", - " 10 11 \n", - "kmIBS 0.172317 0.172573 \n", - "kmAUPRC 0.281913 0.283134 \n", - "normIBS 0.178861 0.179674 \n", - "normAUPRC 0.329508 0.329049 \n", - "gammaIBS 0.169931 0.170249 \n", - "gammaAUPRC 0.280729 0.280798 \n", - "laplaceIBS 0.180094 0.180802 \n", - "laplaceAUPRC 0.295204 0.295397 \n", - "laplace_asymmetricIBS 0.17756 0.178224 \n", - "laplace_asymmetricAUPRC 0.295386 0.295492 \n", - "rayleighIBS 0.177834 0.178612 \n", - "rayleighAUPRC 0.323324 0.322934 \n", - "dataset support2 support2 \n", - "subsample 0.3 0.05 " - ] - }, - "execution_count": 105, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Terminal events\n", - "pd.DataFrame(l).T" - ] - }, { "cell_type": "code", "execution_count": 108, - "id": "5831d46a", + "id": "91824b22", "metadata": {}, "outputs": [ { @@ -1037,7 +809,7 @@ { "cell_type": "code", "execution_count": 109, - "id": "db063db2", + "id": "bc8dbc8c", "metadata": {}, "outputs": [ { @@ -1209,7 +981,7 @@ { "cell_type": "code", "execution_count": null, - "id": "67d176ec", + "id": "e3994342", "metadata": {}, "outputs": [], "source": []