"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"units = {\n",
" 'Age': 'years',\n",
"}\n",
"\n",
"# Set font scale\n",
"sns.set(font_scale=1)\n",
"\n",
"# Specify the variables of interest\n",
"variables_of_interest = ['DiabetesPedigreeFunction', 'Age', 'Diagnosis']\n",
"\n",
"# Create pair plot for the specified variables\n",
"pairplot = sns.pairplot(df[variables_of_interest], hue='Diagnosis')\n",
"\n",
"# Add units to the axes labels\n",
"for ax in pairplot.axes.flat:\n",
" xlabel = ax.get_xlabel()\n",
" ylabel = ax.get_ylabel()\n",
" ax.set_xlabel(f\"{xlabel} ({units.get(xlabel, '')})\")\n",
" ax.set_ylabel(f\"{ylabel} ({units.get(ylabel, '')})\")\n",
"\n",
"# Show the plot\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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iSW0FklV1Uvnefbi3/gRyCDH/RxTl0J4Ub+DoRyrrdCJub5Azh7RNVoi1mxndPwXfvusKooBXVnnn+3zufP4nHnh1OQs3lKNoXlUNjSOi09tqFRUVpKe3n1mUnJxMWVkZAPHx8TQ1aTEhGu2zbHMFZqNEdtKR1cEy6CViIkwUVjgY3SfpKFuncTITUOCpD9eRX3Qgld9kkLjtkn58vXgP+YXNx79YsIdu0we0ekLU6wRc635E8R7YPvPvXEH80Ks6vJ4kCliPQUkJVW0uWhlrN3Pn5QNYtqkcjy9E7y4xpMaH8fyM9fzjT8MRBHD5Ze56/qcWseT0BHn7m22s3FrJny/uh3QMtvw0NE5lOu056tKlC59++mm7Y5999llLZlthYSFxcXG/zjqNUxJFUVm2pZKctEh0h+gQ/kvER1ooqNQaYWocwB8IMWPezlbCCMAXkHn24/VMG9u15ViTy4/ys9gjnezFu2t1m3V1e35iYPfYdq85fnAapkPEBh0psqzQp2sMH8zO55XPN2HUSyREWVi6sZxH315FekI4Rp2IKgh8OCe/RRgdzLaCeirqPZ1KeNDQ0DgCcXTLLbcwb948pk6dyssvv8yMGTN46aWXOP/88/nxxx+59dZb2bZtG0888QRnnnlmp9Z+9dVXmT59eqtj27dv5/LLL6dv376MGzeOd999t9W4oig899xzjBo1ir59+3LddddRUlLS2Zel8RuytbCeJneAnke4pbaf+CgLpTWudntCafw+aXQFmL+mtN0xX0CmvslHjN0EQI+sKPQ/21ZTBQnRaG5zbnDlp1w3Kowx/RJbEgB0ksjkEZlcNK4r6i9sux0pZr3EJWd0w+UNsmBtKT+sKGJPWRM2s56rp+QhqAohBVZvq+pwjSUby9DrtfgjDY3O0Glf8JgxY3jzzTd5/vnneeGFF5BlGZ1Ox4ABA/jf//7HwIEDmT9/PpMnT+b2228/7HU/+OADnnnmGQYOHNhyrKGhgauvvppx48bxyCOPsGHDBh555BGsVivTpk0D4KWXXuLDDz/k3//+NwkJCTzxxBNce+21zJo1SyslcIKybHMF0REmEqLa/gh1hvhIM7KsUlbjJj0h7ChZp3EyEwophxTLDU4fNrOBRmeAaWO7ov6s6GFQMBI2cAr+mc+0HBN0BhBE/F8/yrXTH+fiM3LwBWRMBh1m/eG28jgyBFVl/MBU+nSNZdaSvTQ6/fTvHsfIPkmYJGFf+QAVg14iJLcfFG4y6pCPQqNYURSQgaCsIgAGnYiqPZhonKIc0Ub50KFDGTp0KIFAgKamJqKjo1uCswHGjRvHuHHjDmutqqoqHnroIVauXElGRkarsRkzZqDX6/n73/+OTqcjOzuboqIiXnvtNaZNm0YgEOCtt97izjvvZMyYMQD897//ZdSoUcyZM4cpU6YcycvTOIZ4/SHW7axlWM/4X+3qj4s0IwhQVOXUxJEGACajRHSEibomX7vjaQnhbN5Tx79uHIHNKKH+rDaRLCuYknMwdx1EKOCH/udTFzAiSRKpsWYMeokwEYxi81fnz4WRJIkEZBUFFREBo+7Xp8WLqkpChJE/nd0DRVWRBKG5rcg+25vbhKQx86f224QMzo1n/bYS+uSkoB5piWtRoNYZ4I2ZW8gvakCvExk7IIULxnVFD1o9JI1Tjl/lazUYDMTGxrYSRp1l69at6PV6Zs6cSZ8+fVqNrVmzhsGDB6PTHdBwQ4cOpbCwkNraWvLz83G73QwbNqxlPDw8nLy8PFavbhs3oHH8WZNfTWhfd/Jfi0EnERVmoqTK9cuTNX4XRIWbuHJSXrtj2ckRZCVH8OeL+xIbZkAUBERJRNKJrYS6WzZhHX8DxT2v4Y73i6h3BYn0l+H+4XlqPvk7/uUfEYYD6WdhRoogsLWogQffWMH1/57Pfa8uY/WOmnZLBkiSiEkKYZJCSIcRd6eq+4SYorapWSSHFKaMzCQpxtrmvKmjM4lzbCV3zwdIRauwSV46+0wiCAKN7iB3v7ikJZYrGFKYs7KYh19fQVDTRRqnIIflOcrJyTnsp3xBENi2bdthG3AoL1NlZSXdunVrdWx/kHdFRQWVlZUAJCYmtpmzf+xI6aih5anI/i/nw/mS/rUs21pJekIY9jDjUVkvLtJMcbXzhP33+i3v7fHmeP8bSFKzyOmdHc1fLu3PO99uo97hQycJjOqbzB8mdMcoCggC+EIq2wvrWbSuFINeYtLwDJKirewPzanzKDz+/jquPD2drjXzCWxb2HIdV0Ml7i2LSLjiUfymOFQVBElg4fpy3py5tWVeTYOX5z/dyLSxXThnRCbCvowxs+ohULoN54YfEQwmbL3HYknoilc4/BY6P0cvwEPXDWX9jmo27KzBatYzoU8ktoq1eGd/BICvaAuGuAxipt2NV2grpDp6r8rAe99vR26nAnh5rZvCCgd56fZj1l/uZOL38Dn/vXBY4uimm25qJY5kWebll1/moosuOqYZaT6fr03ckNHY/KPq9/vxer0A7c75NWUERFEgMrLtl8epTnj4r4sB+iWq6z3sKG7kgnFdCQs7OtdKSwxn8foyIiIsJ3Sl7GN9b483J9JnJjrSwpgBZnp3icEbCKHXiUTYjJgMzV93tY1e/v7WckoOKuq4fHMFYwak8MezexJm0fPx/C1IosigTCPBzxe2uYYa9NMw923iL/grktlGeY2LD37Ib9eeLxft4axhGSREWwk566n89EkUvRlh0CVUukV8jTJpRg9R0QbC7B03y/0l5CYfi9eX0TXVzrk9RFxfPkAw0Hp7MVBdiH/PGuwDJ3b4wGu1GvH4Quh0AmajntpGL5v31HZ43ZVbKxnWWyunoXFqcVji6JZbbmn1935xdPHFF9OjR49jYhiAyWQiEAi0Oub3+wGwWCyYTM1ZJ4FAoOX/988xm4/8x0hRVBwOzxGff7IhSSLh4WYcDu9htxk4En5YVoBeJ5Iea8Hp9B6VNe0WPV5/iJ0FtcRHHfmT97Hit7q3x5LDET0nwmfm5/daBKz7XEFetx+v248oCcxeUdRKGO1n4dpSzhycRmqcjdIaJxmJ4QjlWxEMZgwxKaihAIHqopb5vuKtBN1OXEGJmkZvu6n00Hxvaho8WPQi6t4NCLGZlCeN58l381uKUgoCTB6WxrRx3ZFQEQSBgKzg9smEZAWbWY/FcOj+bZIo0i0tEjXoJ7TqW9RA+3FXjnVz0GcPwS+YWh3X6UQ8AYV5a0pYs72KMIuec0ZlkxRrxWYx0Oj0t7uePcyI0+nVWo5w4D2ocfJz9CuXHUUSEhKorm7dkXr/3/Hx8YRCoZZjaWlpreZ07979V1379/hBl2XlmL1uVVVZsrGCrskRSKKILB8dF3xMePMXfEG5g+hw0y/MPn4cy3t7onCivL5D3etgEOauKm53TBCgtslHmMVAdnIE2wvqMWT0wxHbm5XFbsJMEj1HmxE2f0NoxxLYt1Hm9YcI/sJrN+glRNmHGB6F0vd8/vXcilZCR1Xhm2XFdEmNYkC3WLwhlU/n72Lx+jL8ARmzUccVk3IZnBOH0GHws8LEoeksXlOA6juEPYqMorbO6ttfSPLuF5fg9ARbjq/bUcN15/Rg8ojMDj1jo/sl4/Md/fYpGhrHkxN6g3TQoEGsXbsWWT7wRLZixQoyMzOJjo4mJycHm83GypUrW8YdDgfbtm1j0KBBx8NkjQ4ornJRUe8hNyPyqK5rNeuxmnSUVGtB2RptEUUBWRBwBRSafCFUICXO1jJutxnplhZJQrSFS87ojs8foqrBw8DcBG6+sC/Pza7knne288H8Yl75roBbXt/GjvgJ6PLGYM7uhyw1eysbnf5W6x5MZJiRcKsByVOHY/V3LN5Q1q4HSBIF9LIHvaMEddXHTAtbz3+np3PthAx8gRCvfrmZ3eWOQ8a1GCWBcUOzMeSe1uEca8/RBMXW3g1VEHn3++2thNF+3pi1ldF9k+mR1bYu2fXn9cJmPKGfsTU0jogT+l09bdo03njjDe6//36uvfZaNm3axDvvvMMjjzwCNMcaXX755Tz55JNERUWRnJzME088QUJCQqcLUGocW1Zuq8Ji1JGRcGTtQg5FrN2siSONNoiSQIM7xLOfrKdwXw++qHATV0/JIyXWRveMKBRFpajSQUyEmf45cSxYW8JrX22hZ3Y0WckRbNrdOtZGVeH5r3fx3J8mYTd4kFUZg05HSJa55pwePP3BOlzeAwLDaJC4+4qB2HU+qj/4N8aUXEob2goQgDsv6EpG4Uyq5q86cHDdt/TPG4v57DE8P3MP732/nYf+OIT9jleDTkRQFPY7kxRFRUDFltkTX1wGgerCVtfQhcdiyRuNM/Sz+k6ywqqt7SexqGpzIck/X9KXmkYf6/KrsZr1DMyNx6wXD+HJ0tA4eTmhxVF0dDRvvPEGjz76KFOnTiU2Npa//vWvTJ06tWXOrbfeSigU4oEHHsDn8zFo0CDefPNN9PrOd3rXODYoqsrK7VV0S7UjHYOg6Ti7md3lWh8/jdb4Qir3vbwUr//Alk+9w8crX2zi3zeP5NG3V1FZ1xwnlRofhl4nMuPHXUBzx/v/fdt+1q2qwvICP2eIazD1S0AVVPp2jcXZ0MATV+eSX+ZmZ4WXjFgjvZKNhMvFCP5oZFcDoYYKemWZWLKx9ZrJsTbShUoCu1e1uV5w2wJyJw8iMsxIabWLijoPD72+HAE4rX8yV03IxiQEUZDwY0RRVFyyiehpd+PbvRrXhrmgKFh7jMaSNwo3VkBFkkREUUBRFAIh9ZDd10KyikEUSYgwcs6IDFRVbd661ISRxinKYYmjn9cMkmW5JWXf42kbhHmkW1r//ve/2xzr3bs3n3zySYfnSJLEXXfdxV133XVE19Q49uwubaLB6WfikLRfnnwExEaaWZVfjccXxGLSRLEG6HQSi9eXtRJG+5kwLIM3vt7aIowAxg9KZdaSgpa/zUYdTk+gzbn7qWtwo++ahFs1sKWgnuzEMGJq19Ew/126RyfTIyIWeU8DgeVF1CGQ/Mf/gCASqCqg31gL10/tRWSYCUGAjbtrSbCqiFs/6vB60va5jOo1keXb6yivdaOqMLZvHBf1M+Gd8xLOmkJ04TFEDL8AojPwKgZcshmpyxgis4YAKkHJjDOkIkoQUCF/Tx17y5rISo6gR2YUA3PiWb29/TYkg/LiCe0rIBkMHmEhSQ2Nk4jDEkfTp09vk/apqip/+9vfWh1X1eYsi+3btx9dKzVOalbnVxNm0ZPcTpG6o0GcvTl+oqTaRfe0oxvTpHHysrWgrt3juRlRfLFgd6tj0XYz5TUHtmYLKxzkZkSxraC+3TX6Z9rQpaWwu9xFuNVAuFHGsWoWCCLBujKCdWUHzVZx71iFKTWPkCmCKo/I98sKKa5yIgowKC+Bs0fkIFR33O5I9XuwWAUmj8jkx1XFZKeEc3FPFd8XD8M+n4/srKf608ewj74UY954/IqELCt42VdTLKQiigIN7iAPvLIM90FB1HF2Ew/8cSjbCupaHQcYPyiNcLNe8xJp/K44LHH082avGhqHi6KorMmvpluq/Zh1Bo8KNyGJAqU1bk0caQDN2VfJsTZW09YT0l6mZE2Dl+Q4G8WVzSn+c1cWceMFfcgvXMXPY6cTY6xkpsfz3Le78AUUGl0+rp7cg+jzHqGp0Y1RL2LxVcPKjwjWl2PNHY45szemjF6UyDE8+NKKAzFCanOdoL3lTfzjsj/Ch39p9/Wo6QOwCmFE2EycPSqL3kkS7s8egnY2wxp/+oSk3OH4adtSJ6Co/PvdNW0EUHWjj3e+2cpTt53G3FVF+1L5DZx3WjYZCWGImjDS+J1xWOJo8ODBx9oOjVOU3WVNNLkD5KTaj9k1JFEgJsJESXXb2jUav0+CQZnTB6Yyc/GeNuImKMuEWfStMrPmrizi/LFdeOHT5mCgBqefeatLuGv6QGb8uJOCcgc6SWB03yQuGZOGXfJyZbd61PoSjEldCJp8PPbpbgormt+DMXYT91xwO/GuHSiuBio+fATD4At5e1tcuw6YmgYvexoEshKyCFS27pEm2exE9x5BfLmCPyjz1syt/P3CVFRn+14tU1oeqt+DyWwmoOpbZca5fSGq6tuvR7VuRw2BkMx5ozI5a0gakigiomqVrzV+lxxRQHYgEGDv3r04ne3/GGlp9Br7WbujBptZ327fp6NJTISZYi1jTeMgrEaJv04fyH8/Xt9SbFEUwOEOcOmZObz21eaWueW1bqrrvUyfmMuMeTvxB2RWbKnA4fZzx8W9ENz1CEEv+urthLlUKr96BjXYXGTRv3E2osnKPWffy4Ofhqhu8FLb6OPlH0r4+wQ79XPeBECNzSK/qLRDe1dvryFv4l9g6QfNgdmCgClnBPr+5/LU10VcPSELKeDnnxcmExNlwztwIo71c0Fu9gLpIuKImXQDXq+XhtICdO7VmBOzkOKzccvNW2u/VI8pGFJQFRUJQFE4MSpXaWj89nRaHC1fvpw77riDhoaGNmNazJHGwaiqytqd1XRJjjhmW2r7iYs0s2RzI4qintBtRDR+GwRBQBQFctIieemusewtd9Do9BMXaabJ5aNLaiRP3Taa+iYfoiiwcVc1oDJ2QAojeifi9AQxSGBsKkT97lECNc2FI+1TbqL2h9dahNF+FJ8bZf5LTB9zA0992RzPNKFPFI6l7yDZ7OgjExEEmQibkXpH+5WrI2xGXvi2kOTIMQyddA4qsK1BoXh1I9OGxMCyd/DsXAmoVAki1u5DiT/vz1R99V8Awqbex956P1+t8lDr0JOX0pUJqZGY18/G2ncCHqW53pJOElsVgNyPThKJsHYc96Sh8Xui0+LoscceIyoqiocffhi73X4MTNI4VSiuclHv8DO+f8oxv1as3UQwpFDV4CEx+sTo8aVxfAiqUFHv4dtlhfgCIU7rl0JijJWm+gZSw/TER0fx6hebWb+zBmguFDl2QArnju4CIRmTJCBY9JTVOKmrlsgccSPWpr0Ef3oH0WRD7mA7K1hfTmb0gQKNKbEWiL2cKp+ZHeVeEhpM3H9VFm/O2tYm0FsQoG+3WGYt2ctaRWXm8uaA7ruvGISg1hO26WP8e9cdOEFVcOcvQ1VDRAyYSCg8kQXbHLz9w4FA8z2lTcxeU8E/rxyKzduAYErAKIpcMK4LH8/d2cb+C07vgj3MiMfdfpsQDY3fE50WR8XFxbz00kuMGDHiWNijcQqxcXctRr1EageVg48mB2esaeLo90uTy8+Hc3Ywb3VJy7H1O2pIirHy0DUDKW8K8O5n63F5Atx9QVdS7YAi45SNLN1Qwmn9Uymv8/D3N1e2KgPQK8vOzefchyofeutWkJvjmKwmHWZ7FA+/W9Aqxseg28Nfpw8kJO9iZ3Gz910UBa47tycL1pa0iu/Jy4wiKtxIqslAYNk62sOzYzUJVzxKgxTN/55e2mY8EFJ4+fti7psURaTNj+yo5fy+ZkbnDuLJz3eyt6yJ2Egzl57Rnb5dYzAadB2KI1EUEIT2A9o1NE41Oi2OunfvTkVFxbGwReMUY/3uWjISww7Z7uBoYTHpsZn1lFS7GJwbf8yvp3ECIkJJlbOVMNpPea2b75aXMDAvAUFVeGhqAqF5LxBqbM5msxktDBl5OUIoloffWNESo7SfzXsbmZUQzmWnZYMogdK21o+gN+IRmkX6mUMz+N93+W2CnwMhhac/WscTNw1j7Y5aLCYDKfE29DqRBqefrOQI9JLIyL5J9MiK5rmP1nP3pCg6riyk4grAniZvm8Dz/RSUO/AbsmiY+yaBygLEQRcQiMzilmm9MJuN6HUC+kPsRAuigF9WKS5z4PQEyE6xYzPptAw2jVOaTouj++67jzvvvBNJkujduzdmc9sOxElJSUfFOI2TlyaXn6JKJ5OGHpvCj+0RazdpbUR+p4iigNunMGdl+01lAVZvryI3K4qbJqbg//qhVnFDit+Db95rWKPjCbPo24gjgLmryxjWO5nofpPxr53ZZtwweBozVjW3G+nTNYavFu1uMwfA4wtR0+ijW3okLm+IDTtrCLMY6N0lhpgIE41OP9mJVnR+B384LQGD1UDH5SjBaLUguQTOHpVFr+wYFEXFFwgxZ2XRge07vQnZ7SBw5l95+utCSqqag9HNRh1XTsplUE4ceqmtQhIEgaJqN//632r8BxV/HJQXz/Xn9UJUtJBtjVOTI85Wu++++zoc1wKyNbbs+1LOTDz6vdQ6Is5uYUdJ20QBjVOfkApzVxW1G2i8H6cnQGK0FcPOFfiD7QdFu5Z8zDmDL+GtOUVtxvxBGacnRLV1ID0npKF4nciSCZ23DktCOiR057wMgQvPzEVVD10zsdETYu78PWw9KPbIqJd44JrBjM6x4l7+JZ78ZSQKAqZJNxFM6oa/vG2ckCm9JzqjjYxEHfNWl/Ltkr0oanND3WnjupCbEcWa7VVY8OI//RYeeHUd7oN6v3n9IV75cjNRVw0iL83e9jUrKv98eyWhn22lrd5WRXZyBBMHpyEf4p5raJysdFocPfzww+h0Ov7yl78QExNzLGzSOAXYsreOhCgL1t+wnUdcpJmV26twegKEWbSsm98T/qDMwnVlTJ+Yy08bytqdMyAnHr0IUt2eDtcJ1JaS3MvY7lis3YzTE6DeI5Fv6cL3Gwupa/LRNaUL07p1JVoyEGXd12JDhQibgSZX+z6fmAgz+UWthbw/KPPYO6t5anoGwQ1zWo7Xf/sC8effQd389wlUHrDdmNyNqEk30hjS88+3V1J6kNe00eXnzZlbuX5qL+64tC9VLhe7Kl2thNHBvP99Pg/9cUirY5IksnF7dRthtJ9ZSwo4Y0AiVknBqxhQtW02jVOIToujvXv38txzzzFmzJhjYI7GqYCiqmwpqKd3dvRvet24yANB2XkZUb/ptTWOL4IgUO/wISsK3dMjKat2ceGoZPqlmRDkACHJjC7Mjhj0oI9Nhx0r211HHxmPt4M9rKlju9Do8uP1h3jqwwMB0lX1HpZtqeDha4eSEGVBEsEgiVxyRnde/XJzm3WG9kxg69465HaChLz+EBUukThLOIrHAYDic1H15VPETfsrgtGK7G5EstqR9TbcqonKek8rYXQwXyzcTZfL+vPF0vJDPjAUVzlRfiZuRFHosGAkgNsbxFddQmjtDCLHXU7AHE9AkTqcr6FxMtFpcZSent5us1kNjf2UVLlw+0KkJ7RtX3AsibQZ0etEiqs0cfR7I8yg0Cs7mte/3sJ9Vw2mSzR4Fr+H54tlqICkM2Abdj5STBqG7sNoWvYFKG2b0pqGTCM7PpWhPZ2s2laJoqjYw4xMn5hLVZ2b3Mxo/vHmCrJTwrl8dCKx5mZPUY1X4tule+nfPR6XN0DvLrFUN3i4cVpvvli4m8o6D1aTjvGD05kwNJ1bn1rQ4WtxeIIk6E0oOFqOKV4XDQs/JPzsO/FJ+x46FNDpBHaVNHa4Vk2DlzqHnwaHny4p9g7nxUdZ+HnEkSwr9MiK4ouF7Z+TGh+G6KjEV7KNincfIOHSB5EjMrVsNo1Tgk6Lo9tuu43HH3+ciIgI+vbti9WqpU1rtGZbUT16nUjSb5xSL4oCcXYzxVobkd8VFtGPY/Yr/N9ZV+D2JhAf3E1w/U7MaXmE9RhJ/aKPCNaU4Nk4D/uI83GK3TBPuQv/3BdQvPveK6IO4+Dz8UZkIssy08Zmc8kZ3Whw+mly+Ym1G9FLApV1boblxXDFAB3BhU8guxoBiLXZuWbMn3DYLHzwYwUOd5CvF+8hIzGcc0dnExlmIhCUWbS+lF0lDdgsBhqd7afMp8eaCbkbMaXmIRhNBKqKkJ11iAYTCK0zPxVFJTaybVLMfkwGiZCisru0kcvOysGgEwm0UyX7kjO6YTa09vooikpqXBjxUZZ2PUhXjktGXfNi8x+qQt3cN4ma9gAe2t+W1NA4mei0OHrqqaeora3l2muvbXdcEAS2bdv2qw3TOHnZVlBPSqwV3W+Qwv9zYu1miio1cfR7QRBA8NQRqCkmVmhEnvNfGjwHPC46ezxx5/8F2dmAGgqij03hu3XlrNru5Mpx9xKt94MSwq8P59M1tVTv2Ms5o7N48oO1iILA9Im57Clr4vxh8cRFh9jrNHH5yBh8nz0A6gGRIbsakb99kuQr/9OqAnVhhaPN1po/EOLKyXk8+/H6Nq9nQPdYbGIA/6XPsmhbHfVOHwNOiyHN6CBMF8SvSBzcbFZRVLqm2jEapHYz7M4cms7SjeUAfDpvJ3/5wwBe+nwjDnfz3qEoCpw3OpteWdHtBlbrBfj7dUN5c9ZW1myvQlGb+8ZdPT6NpOplBOsOxHcFa0qQFD9o4kjjFKDT4mjy5MnHwg6NU4SQrLCrrIlheQnH5frxUWY27qnFH5AxGrT4h1MdURTxl+3EPvQc6ua82RKnA2BMzCbytEtoWPAh3oJNIIpYc4cztt9U5q4u44H38hGFZoGwP+jYbjMSYTVy84V9MOgkZv60lz9M6I7eV0Ng7nN0v/gxfEs+ayWMWlAV3Gu+ISthNIN7pVBe62Lz7jpCskK41YB9X+uQgblx5KZHcvsl/fhozg6q6j2YjTrGD0rl7JEZbNpdxwuvL29Z9ocVxaTE2Xjoj4OR2olTsuoFHr66P39/Z32rwpX9ukZx9rA0/vx8c3HIbQX1+AIy157bE6NeIiQrZCVFYNQJgIAroFBX0oBBL2HSi+gFBZPixuJ3cOvkdNxTcgl4XEgNhQgb3iZQ8bPAdkEEUURryKZxKtBpcXTzzTcfCzs0ThGKKp0EgspvUhW7PRIiLahqc1B2l5SI42KDxm+HqqrobHYkg5Fg7YGmroKkJ3LMH6j67IkD9YwUGffWn5CKt3L3tLu5442tKCooB8XIxEdbWJNfxYwfd2I26rh+ai/yC+txxtlJm/YYupAHta5tmv9+QjWFDB87la+XFJASa+PcUdkYDRJV9R5qGrx0S4vE6w9y43/mk54YzvljuhBuaw6UzkwIIxhSefHzTW3WLa12MWPebq6e2A2fv7X6MCouIla+xlOXnU+FR4/DEyQ91oy5fifB2c9w56V/4h9vr0ZWVPaWNfH0h+uwmvX84/ph6CUBGYH3v9/OTxvKWgpJ9u8ey41nd6NpxgMoruasurAh5xCZM5SKH55pJQ4FgwkAc0ZvAkLHW3ydRRQFZBWCsooggEEnomplAzR+I464ztHevXtxOtvfvhg0aNCvMkrj5GVHSSN6nUh8lOW4XD8mwoQkChRVOTVx9DtAUVT0CV2QawpbHbfmDMW1eXGbBrEAsrMeS802uqba2wQzTxyWwQc/5APNmWPPzdjAf28/jc8X7OKJjeVMGJTIeZGJUFXYZl0A0Z7AnLUVLFjXvJU1a0kBl57ZnXqHj9krinjgmsE8/eE6FLW5cvXLXxwQQuMHpZKWENZhfaSF60o5Z3QWqqJiNekQALdfpt4vYRp0KVLBcuJ2/ESCzkDIVU9AbvYidRnj5rk7xrBwXSnFlU7yMqMY3COBTbtqqGvyUVnvYfH61uUP1u2o4elAiFsGnEdw+cfoR19NrTWd8iYDaRNvpOG7F7F0H0RYn9Ob47ZECWNCNt42Yd1HhiAK1DoDvDFzC/lFDegkgdF9U7j4jG4YBLSyARrHnE6Lo+XLl3PHHXfQ0ND8NLH/TSoIAqqqIgiCVgTyd8yO4gaSY6xI4tH5kuwskiQSazdTWOn45ckapwQ+wYIpJh1B0qPu621mSMymadU3HZ4jlqyjT+a5LeJIrxOZNrYLpdUuahq9LfMURWXB2hIaXX5kRWXBhmrOmX4W5C9vd12lx0QWvNfas/TRnB08+MchrNpaSYPD325ANEBZjZuocFOHNgdDCiJw98vLePT/hvP611vYsqeu+fUIcFqfHC45vRe+bx7HEJ+F2nsyitmOX2/HZpA4Z3gGCAIhVWVvmQMVgdH9UjrMnNtW0EDgjJ4Yz7mfp76rZFfpVgDG949n+lVPI5ZupOrzJ2CfCBN0BqImXIsxtT9+5Yieu5vXEaDRE+TuF5e0lDsIySrz15awtaCOf/xp2JE91WtodIJOv8cee+wxoqKiePjhh7Hb7cfAJI2TFUVV2V3moH+341scND7KTEGFFpT9e8GvSsxd18CIAWfjX/UFAGrAh2SyIjtq2z1HModx9vBU+uUlE1Ka09Z/XF3Msk1t+0ZW1Xu4aUo2//zQR0mVi1mbPJwz/v/wL3q7xTMl6E0YT7uamZs8reJ+kmNtjB+chtWs50/n9SLYgTACKK50cPlZOcyYt6vd8a6pdgyCzKUTuvPcjA3sKW1qGVNUWLChCr0uiQvOvY9NNXo++q6UuqZ6wq2lTBvbhZG9Ewkp8K//raawwkHP7GiS42wd9mQDaAxILNroYFfpgYeNlfn1XNDXhP/Hd1rNVUMB6r59iYQr/03AlHDICuGHQhUE3v8hv906UFX1HnaVNtIz3a6VDNA4pnRaHBUXF/PSSy8xYsSIY2GPxklMRa0brz9ESszxiTfaT2KUlU176vAFQpgM2jPmqYwgQIPTz3tzdmM/tw+DzozCsexz3PnLsfUeS/3PfsD3Y+szjqX51bw4czcXjevKxt21bC+sb3duXpIRFr/Kfeddwr0fFvDtqgqqmqK5ZMrDpFgCCIIA1iie+GI3a3YcEFfTxnYhKdbGzMV7eO+7bcRHW7nkjO5cNSWPd75pm9FrMeuJiTCSkxFJfmHr6tmiAFdNzkXvqyM7ObLd8wFcAZWfyk289/2OlmMOd4C3v9lGRZ2H+CgzhRXNQmfsgFRCIQVB6LjVSXhEGIs2to6BOr1fPGz6tv0TAMeqWZjHXksgdGTe45CitnjE2mPFlgr6ZEUhyx2349XQ+LV0Ote6e/fuVFS0fbrS0NhV1oQoQGL08Yk32k9CVHNQtpbSf+ojSWJLc9Xnv97Dbl03osZfhX3khZhSczF3GdDmnPCh5xI0RPDW7EIURWXOqmLOGZXV7voWk44B6SaCNSWITWX87aqB3HX5AMxmE09/XYRXCkcyWwmKJnwH1ZQckBOHxaTn+RkbKKp0oqjNDw///WgdTS4/4wamtrnW9RPTMZWt4a9/6Mt15/YkzKJHEOC807J49o4x2CwGaoiiwennnisGcdHp3RB+pj9O65fCjHntN7yds6KQjMQDcXgWk46Nu2oYmBvf7vzs5AhMktrGgxMbJqE4ato9ByDUWMmOwhqUX7GzbrN03HYoOtx8xF4pDY3DpdOP1ffddx933nknkiTRu3dvzOa22QlJSUlHxTiNk4s9ZU3E2s0Y9Mc3hT4mwoReJ1JQ4aR7WuRxtUXj2KKqKhG2A20xXv+hgIfPjsL35b9AEIga8wfC+4zDW7QVQW/AmjMcj6qjLmBo6TNW7/Cxbkc1N13Qhw9+yKfR1VycMT0hjFvPTkfaPR/XGffy9rwythcuxaiXGNk3mQevGYSxfiuuPUWYErO5enwqdxfWE5JVxg9O47lPNrRr88zFe3ni1lHkF9ZT5/CRnRzBzefmEK3W4Nm2B3nXSkal5jH+tkG4xAgWrivjnheX4vYGMeolxg5IoXfXWOocXv54dk/emLnloPtBu/WOoHnrzekJoNeJBEMKjU4/6/KruGJyHoGgwsZdBwRPlxQ7t13cF8lVTphFj9NzoCdbUU2AAbGZUFvS/j9KTBaLNtUyLTaaMGPnvwuMOpFzRmXxdgfesTEDUggGNa+RxrHliLPV7rvvvg7HtYDs3yd7yhwkxRz/iumiKBAfaWFPedMvT9Y4qZFlldyMKCRRQFZUKmrdvL/awuVTH0Jd9xkNiz9BFxGHffh5SBY75U0hkmLNNLlbV3yeu6qYJpeff13TC4/TiU4U0DcWIvz0Ms6RN3LvW1taPCj+oMy81cXsKKrngXPiCLPHUfXZ45jTe/Ofa6bzweIKREFoFXvUymZFpbrew/1XD0ZRVBqbXFgbd1I565mWFHnPrjWISz8j/MKH+G5ZQYuQ8wdlflhRRIPTT2p8GEaDRFykmeqG5iDysEN4XABMBl1LscfZK4qYNCKLJ95fy9QxXTh3dBYefwiLUUdlnRuTUSLCEs8fztTz6ldbW9ZYtKmaqdecBflL2tZ7EnWQO45lr+8gOy2KsX2TCB0izqrd+xNSGNE7ifU7q9mws3XM2HXn9iTMpOt4H1BD4yjRaXH08MMPo9Pp+Mtf/kJMzPENvNU4cXD7glTWe457MPZ+kmIs7DxEzymNUwejKPDXywfy+PtrUBSVn7bUsKmwib/94SpSBtcRaqzCU7gFnTmMmD5n4Vz/A3pjFN3SItlZfCC2Z832Kq4cGY3u6/sBCAKGIRfy3oKydoODS6tdlAa6kLL+w+b5RZvQVz3Ctb3OwB/R7ZA2i6JIbaOP75cXcOvkNGrffqGN0FD8Hjw/vsJFI6/k5W/3thpbubWSs4Zl8Om8nYzsm8wXC3YzOC8es0lHZlI4BeVtszWjwk0Y9GJLAHZhhYN6h4+LTu/Ghp1V5MZCpimEXhLIy40mKIErqGdQbgIIAh/N2YnDHSAkK6wtCXH6xQ9Q/93LhPZtsens8ehOu5bX5lcTkhVEUTxiDSMqCjdP60Od08/6HdVYjDoG5MRj0osImjDS+A3otDjau3cvzz33HGPGjDkG5micrBTsC/L8rfupdURyjJVV26upd/gOmR6tcfKjqipdU8J58c6xbNhVQ22jl17ZMZjDTTT6wG5XMfjdePasJ1BdhDV3GEZR4paJyTz4oYeGfT3OFBWW7HRyev+JuNd937x4fDc2zy7t8Nor8+tIt4a3/K2PSSYsNh5J7+D+S3J4b2EZxT+LfbPbjPj8ISLDjGzZU4dcr0MNBdpdP1BZQPdh7XuDmlx+/AGZ0/omMqarEdUYxqP/W82NF/Th2Y/Xt7wuaI4vuu+qQUSFGTlraDo/ri4mJKt8Pn8X9/yhF5POsFL7zeOEPA5CgN9kJeqs6zEm9MCvSAzPS6B/tziCoRCCswpp5yLcNWm4xt2JhQAIUOKAD7+rpLiq+fX26xbTbkuSw0VUVeLCDEwakg6ozR4oTRhp/EZ0Whylp6fj8bRtQqjx+6ag3IHJIBEZdmL0Vdov0vaUOzRx9HtAUbEaRKaMzMLp9OL3ywRVlZAKdXPeItRY1TLVW7iJsH7jicuJ4ckru7Cjwk9+hY+USD09u8RR64okMioTecMskIPYzPqWXmQ/J9JmQGnwAQIxE69D9jhoWPwJsquBpMhE7h97IUur03h3XjEA4RY9d14+AH8whNEgcdH4rgQD1Yd8aYLSfnyNxaSnS2oEgaCCbclrqCOuosHp55UvNvGnqb1wugOUVruIj7KQEG3FHmZAAi4faOLsHtn4ZBGTHmItPire/1crz5Xic1P71dMkXvVvAsYEZFlBL4DBbCSwOx/fpjkETTbMZz/Ife8VtopJArhofDfMeulXixlVhVBIiy/S+O3ptDi67bbbePzxx4mIiKBv375YrSeGp0Dj+FJQ4SQ+ytKc1nwCYDXrsduM7CppZFBO3PE2R+M3JBRSUFUVi14gWLgEx0HCSGePRxx7EwU+E7t3BdApboZ0DaebfyuBXcsh/moe+aCE2EgzV427kbw4HZOGWPh4/t52rzUyLwphuY7wgWfhK9uFa9OBgoqhhgpCs59j7PhrsUztQXqivbm1TZWTcJuBogoHeZnReAPNvc0Obii7Hyksmkpv26TiuEgzbm+AEb2Tefy9tTx68VUom77nqjPO4PXvC3j83TXE2s3ERppZs72KKyblokfAqHqon/0SoboydIAxZyhOg7n9XnFA09LPiBx7BQHRjE/R4/AEaAzrQWxGH4KFG9HNf47/TL+JJbvcrC9wYQ8zcvbILGIjTNr2l8ZJTafF0VNPPUVtbS3XXnttu+OCILBtW/tZBhqnLgUVDnLTT6zMsOQYKzu0uKPfBaIk4A0q+GvdCKiYTTr0qh9vbQn7hYdotmE77168bg+JjetIlBRI68XavU3E2vuQleZGtMcxpn9zNea/f7idF/6YzdguIhv2RJJf1Lr20PXn5KLPn0vEkCkgCFR+9M92bXP99CFjrnqCP7+2gYo6d8vx+CgL9181mKVb3YzqN4nA+p/XDhKImnAd7y1tHT9kDzNy28X9QBB455ut1Db58FoSiBlyDoN0dpKT4/hswW6q6jxYTXqumdKDSJsBWVYQRIVQUw06ezxhfU/HlNaD+nnvdnhfA7VleHauQAn4MfWeQENI4B8f5XPjlPPJ6XselG1BLd/CmJ6DSIi1k5YcRbhRPGR7D0kSMCluCLgRRAlFb8WHCUVRkSQRo+pGCPoQRJGQzoJfMWjtQjR+czotjiZPnnws7NA4iWlw+mlyB0g4Tv3UOiI1zsbs1cV4/SHMRq0Y5KmIIEBQFdhb0oReL+HyBMhOtrOtsIHNe2pJCJ/EkAsuQFz/BeH9zsC9ZT7+NTMPWmEGA3JHs9d2BsHe53HXi8vo0zWWe68YxBMfrAXJiCrBpBGZXHJGdzbursFs1NG3WxwGvYhJOANv/gJMKd1oz/MDzYHVDbV1rYQRNFd7fvqjdZw+KJVtDCbvzCzYMJOQow5dfCbigPOp10dwVf9Kzh2YR0mDTEJ8JFHhJtbvrOGz+btwuAMY9RJmk4HiJjvPvb8Bf0BmzIAUhvRIICHaismowxuUMRskFEFP5OiLkax2mlbNIlBViD4qEX/ZjnZt10clIjvrcaz9gYSuAwmzJKLXiTz39R7MRh3piSkEQwoF36xDEAReuHNsq500SRKRJBFFUQiFFAxiCLEyn5o5byC7G5uvEZNCzJRbCZmjEWp3UjfnDUJNzVuNpvQeRJ35J9ySHeVQpbw1NI4ynf7FuPnmm4+FHRonMfuLLZ5o4igl1oqqwq7SJnpnRx9vczSOASFVoKLOzbdLCyiscHDn5QN58LXl1DsONJz9QBS49+KpRFhEfK2EUTPB7YvJTu3L7oowjHqJ5ZsrqKh1c9MFfXAKIv95fyN/PKcn368oxOMNEQjKfDx3J4qiMv2s7oyOTsEkHrqeblBtv95PYYWDzKQIHnhlKylxNqYMvIoom47CGj+Lvq7m/ikygW//g81oYVD/CSwpG8BDr+9sOX/qmGx6ZsUwa8lenJ4gF57eDUkUeP2rzbj3VaW8/ZJ+vPf9djISw7n1oj7ozGHUzHq+2a7aMuIvuAvXlsXtbq2F9z2dmm9fBsC1YS7W065h+sQcXvtqC15/qFUl72ljsjHqBFBUJEnAJ6ts3FXLlr11JMfZGNozAXOoieovn2x9b2pLqfn6aWIn30TFp4+1GvMVbaXqw4eIm/4oLrQQDo3fjsOqkP3ss88SCLQfkNgRHo+H//73v0dklMbJRVGVE4tR94s1Vn5rIsOM2Mx6dhQ3/PJkjZMOQRBw+oIsWl/K5j11TBiawWfzdrUSRtDcPPaJT3fgDHZckFDY+gPxNloKmBZWOIiwGjCYTNx0QR8anD5Wbqlk855adhQ3tHgx3vthB02mJBB1iOawdtc2JGSSXxlsd2z/68hMCqe02sUr3xXw2IxdfL2igtvPyURd9h4Akj0BKXcc7889UP166phsQrLKP95ayTdLCli0rpTnZ2zg68V7uP3S/ggCmI06HA4nD12eR16qFWdtLfXzD2yjqXIQx4Z5xE6+AdF0oO2PYDATfcY1ePasQ/G5mu+j1wmyzODceO69chCp8c2vNz7Kwm0X92XS0HRQVERRwOGTuev5JTw7YwPz1pTw7nfbufWpheyoVtGl5LW5B7a8EdQvfL/d+yO7GwmUbEOSOt3QQUPjiDksz5HD4eDMM8/kqquuYtKkScTFdRzgWlNTw6effspHH33E+PHjj5qhGicuRZVO4iLNJ0ww9n4EQSAtzsa2DnpmaZzc6HQiiqKyeH0ZAN3TI/lsfvtNWwMhhZL6IInWCGR32+KgitdJpFWittHbcmxrQT1DeyaQFh/G619vaXPOfuZtczOgayRpZ92Ob9bjrdLyRUs40VNuYcar+e2eKwoQDMrcelFfqhu8lFQ5iYuykJ1oRVezE33eKKypf2RDpcjqxVXcc8Uglm+uoLrBw4CceB54ZVmbNQvKHWzZU8v0CV0YnibC5u9QdhUxKjKRcP1UfP3OpGnZFy3zPTtWIrsaiZt2J8gyatCHqqo418/BW3Cgr5olZzghRUBUFXJSInjw6sH7NhJVTDqxpdhjSIXnZmxok+EXklUe/2QbT112EZQ+3GpMH5NC04q2Xr39+Ao3Ysoc9qtKA2hodIbDEkd/+9vfGD9+PP/+97/5z3/+Q58+fejduzcpKSmYzWacTicVFRWsXbuWHTt2kJ2dzWOPPcaoUaOOtf0aJwBFVU66pUT88sTjQFp8GLNXFeP2BbGaTizPlsavQ1FUJKH5Rxcg9As/nJ6ggKAztDumS+3F7qpgq2KPEVYDq7ZWclq/FFzejj0/Dc4AP22ppabexZ/O/QeGmh2ITeWYUrphTczAHwjSv3ssc1a1bbcxsm8y1Q0eKuvdvPPNNmLsZlyeII0uP/FRFmLssdyaGsbuGgc/ripmZ1EDj1w3FL1O5OO5O9uxppmF60r5z7V98L13W8t2WbCuDO/uNURN/D8seSPxbFvSMt9ftoOqGf8iafo/KH/vP6hBf6v1dJEJ6JO64993j2VZ4WA/3MFVsH0BmV0dJEJ4/SGq/XqiDGbUwAEhqnidSGFRrUoutL5+ohaUrfGbctgxR8OGDePrr79m4cKFzJo1i2+++Ya6ugOdk2NiYhg5ciQ333wzY8eOPSbGapx4ODwBGpx+4iJPrHij/aQnhKEC2wsbGKil9J9SyLKCzSRhMenw+EJ4fCFi7CZqG33tzs9Ki0FZ2VbkCHoTEYOn8N+n17UcMxkkIsNNbCuox6gX6d0lhuWb22+43TMrmtkriyipcnL7641kJIYTGdYDx84A91xkwP/lP5l22rVYjRl8t6IEf1DGqJcYPziVySMyUdXmatt/vrQ/2wrq+XF1c02kqnoPVfUenJ4kUqL1iKLAdef1RFVU6p1+XN6OQx28vhBKU1W7cUQNc98k/rK/txJH+qhEbL3GIOiNJF35KPWLP8G7ay2CpMPWewxhQ87DpVjpKOj8YH5JpHr9MoJO30ocubb8RMTQc6j74fW2JwgiltwRuLR+ahq/IZ0OyB4zZkxLdWyv14vT6cRut2MwtP9EdjQIhUK8+OKLfPXVVzQ2NpKXl8ddd91F3759geZebo8++ihbtmwhKiqKq666iiuuuOKY2aNxgJKq5niE+Mi2DYhPBCKsBqLDTWwpqNPE0SlImEHlglGpvDu3gO+WFXDJGd154dONbeaN7pfM+l11DJx0D/p1n+Hfuw5UBVNGb+zjruTTlQ0Egs0/6majjtsv6cfyzeWcNyabkmoXF4zryuptVW1++OMizcTYzZRUORmQE8eYASnoJYmQrLBwXSluv4zgrEf+9kkmdB/OxNuvxC+DQSdi0kFFU4BXv9xMQbkDQYC+3WK56/IBvPrF5pbsNr1BjywIPH3baOxWPWt21PDx3B1cP7U3C9eVtXtfBubGI5RsaHdMDQVQAj4QJVAUos+4GiQJ18b5ONf/iDG5K5HDphIxYCKK14kuKgkPNtQOaiH9HLNJh91mbGngezCCAOnJ0QS9BzL3BIOJ8OHT0MVlYO21C/fmhQdOkHTEnnM7ASkctB01jd+QX5XfbDabMZuP/Y/iyy+/zKeffsq///1vUlNTef3117n22mv57rvv0Ov1XH311YwbN45HHnmEDRs28Mgjj2C1Wpk2bdoxt+33TnG1E71OPGEqY7dHZmIYm/fUo6rqCRcXpfHr8Ct6xvaKIiQrfLm0jPyiBu6+YiBfLNjN7tJGosJNnHdaNonRVh7732o+MUhMHHQmg8+ehiDAqiI3um0Bxg1KJSHaQmSYgcRoCzuKGxjeO4kHXlmG2xukZ1Y09101iC8W7GbL3jp0ksjofslMG9uFB19bzk0X9KGq3sMrn2/C7QthMemYMDQDs80GuSPx71xJqHQr+qAfVbLww8oSeneN5Z9vrWzZylNVWL+jhoIyBzdf1Id/vrWK1PgwwsOt9Is0gqIQUlTW76ghIyGclDgbGYnhFFa0roNk1Ev84YxsAh8+1/GNk3REn3UDok7CW7gF16b5LUMhRw2enauJO/8v1M37H4KkJ/qSh/FweN/1Jp3Itef25MkP1rYZO2toBlarBfN1zyA3ViLoDIhhMfgEC76QgGXEHwgfci6Byr2IBjO62DT8ooWgrAVja/y2nBTFX3788UemTJnCyJEjAbjnnnv49NNP2bBhAwUFBej1ev7+97+j0+nIzs6mqKiI1157TRNHvwEl1S7i7CdeMPbBZCaGs2ZHDaU1blLjbL98gsZJgywrhJv1nJXqZORlaSiWKJwhPROGpHPBuK6EZIWocCObd9ehKCpuX4jPfirls58OrDEgJ47TEp3kbngbxe8m6HOTc+lT3P7qWvyB5q0clzeIq76O689KxWTNISQYmbuqCFWF4b0S2V3ayOwVRS1renwhvly4G68/SLeUc8nqcS4ms4EtFQFmr9hFdoqd75YVtNvQttHlp7DcQc+sKK6bkoPRoCMQUrEIHvyVe7gicj3YYrALadwwtSfLNleyaH0pXl+Ivt3juPzMrkS69tBgNCMftHW1H8FgQrBGEghLJyxYQ83MtiJKlYM0Lv0c+7ircPhU3CEJnUFEDrV23+h0zaLl4JgjOaSQm2bn79cN43/fb6OgrInYSAsXjOtCv26xyIqKizCEyLDmmkj7/wN8igFEA2LKwH1/q6DtpmkcB04KcRQdHc2CBQu4/PLLSUxM5JNPPsFgMJCTk8Onn37K4MGD0ekOvJShQ4fy6quvUltbS0zMidEl/lSluNJ5wsYb7Sc1zoZBL7JhV40mjk4xRFEgUFVAYOcKIgedzbIyH89/vqbNvOkTcxnaM4EVWyrbjMVHWdjtCyMlYwDK+m/QRSays6QJf0BGFOCO87uRJZSgbnoNeWUDcmJXwkdewuje8ZRUOzljcDp/fmZRu/bNWVnMqL7D+csrS/nr5QMJtxjYUdTA6QNTaXL6uPPyAehEEUkSWL+jmnmrm2OSdhQ1cOcf+qMXVPxBFRtOqj96hJCjpmXtyhWfET3hZmzGGKZPzMWgl6hr9KLfOR/H3uVEn34l1TOfg1a92QSiJ97AJ0uqKK4p4LY+HZe58JfvRrQkcs+MHYjiasYPSuPMwWnoheYdLoc3yJr8KgQEBubGYzPpEPcFTQuqSlqshXunD0RRVUDApBNaiahDxVcriubl1Ti+nBTi6P777+e2227j9NNPR5IkRFHk+eefJy0tjcrKSrp169Zq/v5SAxUVFZo4OoYEQzKV9R56Zp3YBRZ1kkhmYjjrd9Vy9ojM422OxlFEpxPxbF+Ge8cKAjln8sY3e9qdN+PHndx5+YA24kgUBQblJfDPt1by+NUjMWyeg2QJo9LRXEDxsnFpZFb9SGDbwpZz/AUb8BduIuL8+wmEp+ANhNr1AAH76iGpKCp8t7yAPl2bv5uSYm00uvy8/Pkm3N4goigwpEcCd18xkCc/WEuM3YwkCPiDCkZJpnHeu62EEQCqgmfOiwyZ+hi3vd4cZ9U11c6QXgrBqkKcmxeRcNG9uLYtJVhbis4ej63nKPy2RL58ew1p8WG4A4cKsBZweEMtKfmfzd/F0o3lPHLdUD5bsJs5Kw94yt7/IZ8pIzI5b3RWi0BSFBWR/cX0VEKhw8s2M0tBpKCLUH05oiUcwRaNF6tWIVvjN+WkEEe7d+8mLCyMF198kfj4eD799FPuvPNO3n//fXw+X5tgcKOxOf7F728bEHi47HcX/x7YX1yts0XWSmtcKCrER5mRpBP7Ka97qp2ZSwtpcgeIjjD9Ztc90nt7MnI8PjM6nYhoDQfAhRmvP9TuPH9QxmiQ0OtEgvu8F1aTjuvO68X3ywuRFZXZGxu5MLs/gbId5AyORRKLGZplIfj5wrYLqgrehW+RNO1v1PgP/TWq10mEWfTUNvqIsBno1y2W7YX1fDj7QMsORVFZvrmCmgYvl5+VS25GJKqqotOJGGQXtbvaesOaT5SxuUtIjLZSUeemoLwJcXIfWPEJ3j3r8BZuwtp1EKa0PGRXA46Ni5gtjQGgpNqJHNu2ION+DBm9WFnQuuVJRZ2b9btq2FXS1uP0zdICBuXFk5UQdsRp92a8NMx9A++u1S3HJGsEcRfdT8CagHKCB2X/Hj7nvxeOWBzt2bOHpUuXUl1dzfTp0ykpKSEnJweb7ehuW1RUVHDHHXfwzjvvMHBg8z50r1692L17N88//zwmk6lN9e79oshiObLtHlEUiIz8/ZWqDw/vXHD92l3NpRyyUqMw6juuPnwi0Ld7PN+tKGJrcSPnjs7+za/f2Xt7snG8PjM1DR7MPcfiXPM9knhogW4xiNx/1WBc3iCSJKCqMGdFEXvLm4tC1rtCqInhGBOySDT76ZEVDbXte6KguW6QTvZSUeMnPSGspY3OwaTE2VoaqpbXuumaGonJIPHyF5vbXXN3aSNXn51HYqytpS5XoK6x3ZT8/egVLw9cPZKqBg9Wsx5bmIpx4CQca74DOYQ7fzkAojmM+Mse4ceXmhuDqyr8sKGe80f/AefiD1utKZptqIMuZdZ7u9tcb8mGcvIyoykod7QZ+3rxHu65cvAR9TJUQkHqF8xoJYwAZHcTVR89QvK1T6GPjO30uhoaR0Kn38GKovDggw/y+eeft2T/TJw4kZdeeoni4mLef/99EhISjpqBGzduJBgM0qtXr1bH+/Tpw+LFi0lKSqK6urrV2P6/4+Pjj+iaiqLicHiOzOCTEEkSCQ8343B4O1WBNr+wjsgwIwFfgED7pWVOKDITw1mwppjRvY7e+/OXONJ7eyJxOKLneHxmRFGgqMJBpMlM+KhL8ftriY4wUdfU9s0YYTNgU5x8sbKG1duryEuP4LLRiVw/TI8StKGGJ+IMCKirC9Cn5RFY+RE3TbwcoTZA+76oZmRV4I2ZW7ntkn4898n6VtdOjrXxl0v74/GHaHT6sZh0uL0B4iKtuA9RVLKq3kN6rJWGfXWMTIIRfVQiwfr26ywZImLQLXuN+GHX8uyMjdw+SofNEkbcubfj2rYE2evElJqHOT0Px+afGNy9G3PXNq/1zapKJtw6AsPUboj5P4KnEWNmPzwJfXjssz04PW3tNBqkDmsZOdxBXC4/Pk/nvfZmxYlz/dx2xxSfG39lIW7VekIXg9z/edc4+em0OHrppZeYNWsW//znPxkzZgwjRowA4K677uKmm27iv//9L48//vhRM3C/0NqxYwe9e/duOb5z504yMjLo06cPH3/8MbIsI0nN3osVK1aQmZlJdPSRx8KEQifnD9mvQZaVTr3u4konsREmZPnE/bI6mG6pdr5dXkRlrZsY+2/7BdbZe3sy8lu/Pr1eYndpI326xbKOHvSOMHLnRak8+Pb6lq0zAJ0kcMdFPVB+eo1Lxv8FVQ5y1QAJ//cPE2hR9QLxAydh6DkaxefClNEL/+qPiRh9KV5RQjRZ0fWeCPFdUYN+xPx5oAYpbFCod/h46bONXDUlD1lWCYYUuqTYqXf4qG7wEBluYsrITLolWYkyKThDEpIodBinFBNhRlEUVHVfYLLJTOT4q6me8S9+XoTR3HUQqhzCl7+chBEXct9VgwjOe5mG/GWIlnCs3Qahs8fjL99F0/IvEU02Bo/qz9x9WfaZSeFsKfHw7nfFDOsxsrk5b4VEBlBa7f65aQCcPiiV179qv53KwNw4JPHI3guqEmxTmftggo1VqLF5J+1DhsbJRafF0eeff86tt97KtGnTkOUDWRC5ubnceuutPPnkk4c4u/P07t2bAQMGcPfdd/PQQw+RkJDAV199xfLly/noo49ISUnhjTfe4P777+faa69l06ZNvPPOOzzyyCNH1Q6NtpTWuOh1ggdjH0zX5Aj0OpEV26qYMjzjeJuj8StRFIXYSAt6SeKr5eW8UudmwtB0/v6nYazaVklptYukGCuD8xKIbdxCoKGCWIvKLZPSqHnnjp9lcak413xL1JRbUJL7EFrzBbrwGAh6iTr/HqoUO68tKGPr98VYTHomDZrEWSOyKN3ZvLVcVe/hqQ/WMaJ3IqP7pTB3VRGiKFBc6aBnqpWp/eyEmURE0U+4WeS0fknMX9u2gGO41UBCpBFdUzFyfRmGiDjcgRgW7jUw7LwHkFd9TLB8N5I1Al2fidTG9AN7BEg6JFT0gkJoX4sUxePAuWHegcUFEWO3ISSlJPDfPyehKgqiKPLIGyvw+kPMX1feMvXlu8eRlxnFtoLWfQlH9kkiKykCX6CtP81m1jOmf0qbdP/DRZUMSB30vgMwxGXgPdGDjjROGTotjmpra8nNzW13LD4+Hoej7T70r0EURV5++WWeeeYZ7r33XpqamujWrRvvvPMOffr0AeCNN97g0UcfZerUqcTGxvLXv/6VqVOnHlU7NFrT5A7g9ASJ/Y09ML8Gg16ia0oEy7ZUMnlYupYqfJIjyyo56ZEs3VRB97RISqtdfLu0kO+WFXL2yCzOHpkFgMPpIbZkA7pB5xOSzPi2z/2ZMDqAc9lnlA68hdTcCXhn/hN3/gr85zzK3S+taPH0uLxBZiwuZkOhg1su6kvXVDvjB6cRbjWQnhDO3rImapt8eLxBhvVKYGCqhLF6GwFRxLH6O0KOOi654BEq6jxsLzwQ2BxuNfDItYNhwUvU7D4QgC1Z7Qyd9FeemV3FiO6XktXfjCoIuLDwr3fWMGFIKhcOnoq3aBPF5lwis0bCloWtXpdosqKfcg/fbQsw+4Xl+AIhemXHcPEZ3bj3qsE898l6Squbq90LAqCo/PnifpTWuJi3ugRJEjlzSBpxkWasepU3/zyQ6noPczfWMW99Jb2yY7hiUi4mSTjirDK/ZCVi5EXUz27bQkQflYQQHtcSeqXXiYiEUNC18hJqaBwtOi2O0tPTWbRoEcOHD28ztmrVKtLT04+KYQcTERHBQw89xEMPPdTueO/evfnkk0+O+nU1Oqa0pvmLNPY3zPw6GvTMiGLGwj3sLXeQnXxiNsvVOHxMkkDfrjHkZUaxaH0ZogC3X9qfwnIHz36yHpcnSM/sKBImXIEgCjgbfNgbyztcL+SowyipPD+7ilsGng+qwpvf5Le7BbazuJH6Jj8Th2Xw0ZwdXDU5l5mL9/DDQcUgt+yto3pEKlOjnTQt+bTluO/zh7l11JV4Jw+mtD5IRJiJOLsR3cr38OxunZkmuxth9tNMG3o7//z4QLPZe64YhMkgsXB9ORfdejq+DTP5tiqe3qlmeueeRnD7gdpLutNv5N8zKyk8KGh80+5athXUcf/VQ7jh/N48+NpyFEVlQE5cc4KFopAZb+OGqT0BFTmkYFGcOH76CvfWxaAqnNd9KFf8+SI8ukhUWf5V6fahkIo5axCR4/w0Lvm0pfeaKbMPkRP+hFewopdkTCEHrrXzCFYVok/IIqzXWLxSOCFFe9jROHp0WhxdeeWVPPjggwSDQcaOHYsgCBQVFbFy5Ureeust7rnnnmNhp8YJRlm1C50kYreduG1D2iMtPoxwi56fNlVo4ugUQFFUYsKMhBD45w3Dqahz893SArbsPdAUe21+DRt31XLPlYP4ZkkBf8rrBtuXtrueLjad4lo/2woaCIzPw2gNZ9uslR1ef21+FYWVDmIjzcREWvhhxbo2c8bmhtP01ZetjqlBH4H5r6I3hzHsmidYtttLmtmNY/OCdq8jO2pJsoTQSQKhfTF+RZUO4qIsVNS6CdSXI8pB/EGF174v4PpJY+l19gh0uxYi6Q0UikkUVq5vs25IVpm5eA+nD0pjcF481Q0erj+vF4KqYBSD6EIuAmWFiEYL5phkKj58ENl5YKvNvW0J3r3rSbjycZzqr89UdisG1qs9SZmQg0UMoUo6Fu/18NNb23jomsFYGwson/Foi+fPW7gJx6pviL/4flR71kkT/6hx4tNpcXThhRdSX1/Pyy+/zEcffYSqqvzlL39Br9dz7bXXcumllx4LOzVOMEpr3cREmBB/IX36REMUBXpkRrNqexWXnN4Fk+GkKPWl0RGCQEmtG4c7yJeLdnPVlLxWwmg/IVnl8/m76dMtFn9MHDqTDcXnajNPHHQhX31Zid1mJDrCgkc0YtRL+DvoCB9h1dMnK5IeXeJYvL5tDJEoChhlJwGl/Zw3xesk4GggKTYGr/tANpqgN6LvfzahlP74QmDWgc6gw2LS4XAHyUgMp3t6JMWVDrITrbBnOXL5Nk7rOYq1+dW8/O1ewix6BuaMpltsBHu3t70n+9m4u5ZJwzO4/Kwcwm1GBFnGoPhwLv6g2UMEGJO7Ycnq20oYtbwGnxvXhjno+59PB7fpsGnyBHnx8/aDvb2NtXhmPtN2S1QJUTvrWWIveww3J3a1fo2Th07/MjidTq6//nouu+wy1q9fT2NjI+Hh4fTp0we73X4MTNQ4ESmtdhFzkm2p7ad3djQrtlayens1o/okHW9zNH4F7oCM0xPkxc82kJEU0W57kP1sL6zn3NHZ/HfWdu497z746XUClQVAc1yPfuR0vs2X8fpDPH5lDp6VX1DR5TxG90tm7qridtcclKbDuHsBJss5+9pktEZVVRD1h3wNvhD4ZBlRNaDXGUAQMZx7P28ubmT19/kAiAKM7pfMHX8YgKwoFFe6mL+mhLgoC6cPSIZlSwjWldE1wk9avI1GVwBZVliwrpw6Z+CQXlKrSYesqJgNOiLDTDgcHvw7VrQIIwBjUle8he2LFgDPztWE95lEQDXR6PJjM+kxGSQk1EO2CTkYvV5iyYr27zOAFHAR8LQf0yq7GsHvBIMmjjSODp0WR5MmTeLee+9l0qRJjBo16ljYpHGCo6gq5bVuhvf87eoFHU0irAYyEsNYtLFcE0cnMXq9xIIVxWQmh9M/J55JIzLYXtDWs7EfnSSiqCrFVS7u/6iQi0ddydAzbTidHmp9Ep8srWZ7YQWXjklDv+ZDQr2m8NSMrfz50v7sKGqguKp1kcc/TcpCl/8jvi1zEeUAEwZcwKZdtQgClNe6UZRmYVDl0xFjtTfHDv3cpsgEAqKFhgYflV6BXv0mo5rCeWleHZv2HHgtigoL15WhAmePzMJk9LFhZw0Od4CvF+/l3ounkOx1IlRs4+7LJ7Gn3IWKgM2sp7jaQb+ucXy5sP2ClmMGpGLQS5j0zdWd9bKHhpVft5qjhgKIxo6TL0SjmYXry7HHRPHVoj3sKW2iV5dobrmwL3rh8AVSMHQI19MvZaqdwPWPNE4+Ol3rPBAIEBkZeSxs0ThJqG30EggpJ1Wm2s/pkx3D3nIHJdVtt1Y0Tg5kVaWq3k1MhJn4KAsPvbqcjMTwDueP6JPE6m1VANQ7fLz87V5qlAi+3hzgHx/tZHthA+FWA+N62fEXbMQjWHC4Azz1wVqmjevKA1cPZMKgJC4ak8Zztwyhf3YEapfhGPtNJqi3YjAamTA0nbEDUnng6sGcMyqLyDAjVV4D+ov/g27qIxgHnItgbPZuCAYz0ef+mWdnFpCZFE5e1zj8eZMIZo1qJYwO5qf1ZTS6/KzeVsm9Vw0i3GpAUVSe/HwX+vE3UZV6OmV1fowGHSFZYca8HUSHmZEVhekT22YZZydHMKxnAkkxVpy+IFv21lHqFJHOuA1dYteWeZ6dq7Hmtk3C2Y/aYwJzN9Tx5tdbOWdUcwX6zbvreP7TDSiHmRUaCskM75XY8TVM4Qj69r3VgsGMYAo7rOtoaBwOnfYcXXHFFTzzzDOYTCZycnIwm0/eH0iNI6Osprk4XEzEyftvn50cgc2sZ+GGMqaf2f14m6NxBIhAz+xo6h0+Ppu/C4Blmyv4w4TurfqWASREWxg7IIVH317Vcqxrqp2dxQ1kJ9s577RsgrJKTYOH2qBIxLn3I5qakw1c3iDPfrKeV/6YSVb8LryZp/HirJ1sK2xAFAVuOn8sjS4/7z+1qJXz4qrJudx31WDe/mYrL3+xGVGAwXnduOLC8YQ17oK4bBrEMK49J4rCcgcfzdlBTaOXWy/q2+FrVlSwmQ306RrLzuJG/nbNEJZsLGNXSSM1HoFXv9pKee2+z6fdxPSJeazYUsFF47sRCsm8cNdYHC4/gZBCdLgJg0FCVVTqHD5+XFVCcZWD+CgL4wamEj3mNoyLXyBYlo/sbkR2N2LtMRL31iWtbNJn9qdcSqW4qnkL8ODWIZt31+Hxy1j1v/wcrqoQazfTv3sc63a07npgNuowhEcRfsbV1H33cptzo864BtkQjl6B4K8NfNLQ4AjE0ddff015eTl/+MMf2h0XBIFt27b9asM0TlxKa92YDBI288kbzCyJAr2yoli+pZKLxnY54XvDabQlFFLo3z2eR985IHh+XFXMWUPT+ds1Q1ibX4XLE2RIzwRiIow8/dEGgiEFQYCBufFMGp7JE++v4YpJeXyzZC8/rChqETc2s557L49nVN8kftpQjqKoyKIBb/JQ7nhpXUv7DLNRh8Vs4PnPNrWyzaiXyEy2c//LSwnsq8OjqLBiaxXbixp4/MbhVNZ7iIpQKa5y8tyMDS3nWkwdxygJAri9Qd6atbXl2JlD0rh+am/uem5xy7UAaht9PPvxOh64ZghySKFX11gefn05tY3NVcH1OpGpY7IZ3iuJB19d3lKuYE9pE8s2VXDduT0ZeNp1BD+8A4D6BR8QNe5ywgZMomHTYgRVQU4fzM5GPS98eqDEwM/be3h8Iaz61s3BO0JSVf7v/F5s2l3LzJ/24vGFGJAbz7mjstCJAkJaf+Ive4SmJZ8SrCtDH5OMfeRFCKKIY/7rSGGR2HqMJqgPx68cOtZLQ+NQdPrX7ZxzzjkWdmicRJTVuIiJMJ/0RRR7Z0WzYmsVq7dXM7J3x+58jRMXAaiobd3m4ocVRfy4uoTeXWLo1z0WnSiQ4NnDny/pR6MrgCQJbN5dy+PvriYtIRyvP8T3y4tareHyBnn47bX897aRrN5WhS8gU69Y2VrkYMrITDy+IMs3VzCkZyKL2slSG9k3iR9XFbcSK/tpcgVYvamY03pG8+2GClLibVhMOs4ckEC3BBMWg0p2SgR7SttWiu7fPY6tBa0zz+asLKZndgyR4Saq6lv3t9PvE/06vcT9ry7DFzjgVQmGFGb8uIuocDPJcTaKf9Y4993vt9PjxuHo7fGEGqswpeVhyBpAfp2B76t7Ewwp7FhRgeugPnFmo65N6I+1kw9RkqoyqHssvbOjUQGDJKLICoqi4kePGJZB2KTbEJUQOkml5qtnCJQfEGeOFV8TOf4aDF2GE1BO3gc4jeNLp985N99887GwQ+MkorTGTdxJHG+0nwibkfSEMBZvKtfE0UmKIDR3vv95h/iQrLBuRzXd0yNZvLGcjNOS+XrBXpZvbt289fRBqXw6byftEQwpbMwv57kberO52EN4RBhuXwP5hQ3Yw4zccH5vdJLIl4vadq7PTIzgq8Vtj+9nzR4nUVHhhFv0pMaF8fyNfQgueZ/Qql3oo5P56yW385+PNrGn7IBA6pkVzeQRmTz+3po26327pIDT+qUw42ev5eYL+7BkYzlJMdZWwuhgZi7ew6Thmbwxs3U2mj8g0+AK0usPD+MM6fDJEtUhKKioomd2DG983TZ77ZqzezB7ZWHL3/26xWI2SM1us04QCins9+UqP+ulpigqPvQYJAn3sg9bCaP9NPz4FokZvQmI9k5dV0NjP50WR+XlHVeX3U9SkpYBdKoSkhUq6z30yDg1gvJ7ZUUza1khFXVuEqN/ufu8xomFXoDLz8rlH2+1LdRoMkh0TbWzbkc1is5E3zQTyze3nhNuNbRsM7VHSV2AswZYyJbCuOeFJbh9B+oVrdxayfljuzB5eCb5B7UBAfD4g4RbjR2uHW41sGp7DYvWl6GTBO6/vA9xAR+yuxFpwHnsLqjmzKHpxESY8fhDxEWa0etE/vbqMvztiJwGpw+bpfU2UkZiOA0OPy5vsCVOsD0q6txE29sPdNZJItuqFV77qrm9iE4SGN47iXNGZXH/VYOZtWQvZTUukmNtTByWQUK0hXqHj2E9mx82BnSPQzhG/dAMio/6zYs6HPfuWYsu94xTvuGzxrGh0+Jo3Lhxv7idsn379iM2SOPEpqre01yV+CQOxj6YrikRmAwSSzdXcsGY7ONtjkYnURSV5Fgr153Xk/e/z8frbxYv8VEWrj23Jx/N2cH4QWnU1TfRJ8WA3Wak0XWg83t1vYe0+LA2afr7yYnX4w6ovDFzaythtJ8vFuzmmb+chtWsw+09MP7ThnLOGprO3rL2m6gO753Ic59sAJoLVP7rg008c9VFGPVGVnrTefuggHK9TiQYUhjTP5kzBqfz1aK2Kfk5GVFtXsPA3HiWbCwnGJLp3ie5gzsIybE2ahq8bY4b9RL2MAO3PLmw5VhIVlm8voyCcgcXj+9GVnIEg3skUNvoRRAEaht9rN5WRXWDh/TEMNLiw4iNMCEckzR7FVUOdjzqcyGe5Fv/GsePToujxx57rI048ng8rFmzhpUrV/LYY48dNeM0TjzK9mfCnKQFIH+OThLJSYtk2ZYKzh+dddJV/P69I0kia7ZU0q9bHJmJETjczTFFDQ4fb8/aSvq+1H6jzY4syTx+UxJvztzCqu01AGzYWcPlZ+Xw2P9Wt1k73GqgWyx4ggJb9nRcYXpdfjWP3TCc177awtZ9dZZMBon+3WI5rV9ym5ikqWO6sKuksUXIAQRCCkWNKll9z+Hjdwtbzd/fWHXhujIevm5oG3GkkwSmntaFnSUN/LS+rKWatyQKhGSFgnIH0yfmYjbqWl1zPxeN78bnC9puAf7pvF58v6ywzXGAkionIVlh4bpSGp1+rp6SR0m1kw9+yCcyzMjIvslYjDpmzNvFGYPTyEuzI8tH14MjiwaMKTn4S/PbHTdl98d7qLpJGhqHoNPi6Pzzz2/3+GWXXca//vUvZs2axZgxY36tXRonKKU1bsLM+lbpuic7PTOj2LC7lvziBvIyoo63ORqdRYUfVxeRHGsjwmZky55aFAWunJxHabWLb5YUMGVkJi9/sYne2dHcdHYXrhwVDZZIDO5qjBEqN5/blXfmFOLyBslKjuD0gan0ywrHsOEzQv0vPOTljToBa9ESbu4RIDS2O4gSYXFJULiKs4f34txhSazfUYXebCU1IYKVWyv5YXlhm3WcnhC+KFu7AmY/wZBCv26xrN/ZLO4yEsO59MzuuH0B1m6v4o7LBhAIyhj0IlmJYZhNOvaWNfHB7HzuuKw/r325mep9XiKjXmLqmGwSoiz8+dJ+zF9djNVsIMJmICupuaL2859uaHV9q0nHJael0C/NjE3v5tUbe+ETLXgUHTc/sYDpE3OJjjCxaH0pTneQvMwobBY9QfUIiur9An7VQOTpV1H53v1tWooY0/LAFoeq7ahpHCFH9Rdu3Lhx3HjjjUdzSY0TjLIaF9GniNdoP4nRFiLDjKzcVqWJo5MMWVbo3SWGv77wE3+dPrDFAyIKAnNXFREVbuL683vz7MfNTVc37anjqc9D3HtBFsamHQiihA4zwxPc9Lg0CSLT2FzQyJxVJfy4WmFs3zEME1Ry0u3kFzW2a0PPBAH3F++1/EBHjLwIEtNQgz7Ky2oIyDAmNQBGA/fN2ERVg6fddbp1S0US4e4rBqIoKgvWlrJme1WrOZIokJsRxRWT86iu91BZ5+atWVs5e1QWe8qaWPXOKsxGHQ9cPRhVEOjfPY7vlxWyp7SJt2Zu5cLTu2EPa67flBRjBUHAahCpbPCSnRLJwnUlyLJKKKTQMzuGmAgTtU3NcVM2s55Hr8jBsOIdAqu30gQ0CSLWHiOxDbuE88ZkU1Xv5r3vD4RV7C5tZN6aEv514wjCDOJRLWKtKCoBczyJV/6bxkUf4ivagmi2EjZgEua80bjkk6sptsaJxVEVRxs3bkSnO3U8ChptKa1xkx7/67tvn0gIgkBOWiRr8qu5/Mzu6HVH+xlX41hiNUlMGJrOE++v5ZIzupEcZyMYUpCETBpdfp79eD31jgOB0TtLmmgK6tEt+IDwAWfh3rsJNaUP+sQuPP7hRnaVHIgTKih3sHRrDdef24N7X17RpgHtlCFJ6ItXE9wnjIzJ3fFlDGfZ2lIm5vakS5OHO94rIDHGyhXjYrhycg7/eX9dm9cwICeOynovT7y/FllRsZh0TBmRRd9usS1ZYXabkSSTl/gMEa/fx78O2gqMjjDh8jTH38iyQrjNyG1PL+K+qwbz1+kDWb65giUby/hiwW6G9U6kb9dY5q0uZuKwTEIKfDRnJxt31bSst2l3LRmJ4dx9xSDemrUVtzfI1KFx6H96hUDlQdt6qoJ7y2IQdYzpcxG3PLuszWtze4P877tt3DS111Fv8RFUBEKGWGwTbsKuBlBUgYBowSVrrUQ0fh2dVjL33ntvm2OKolBZWcnq1au54IILjophGice/qBMbaOXgd1jj7cpR53cdDvLt1aytbCevl1ijrc5Gp1AUSAxxsr9Vw9GUVSCskJafBgeXwhFhRsv6E1ZtYuvFu2hwdkcjF1b00ii3oQ/cxSLG4rZtS5A/+6NrYTRfnYUNVBQUsfT1/fhm1WVbC50EGEzcv5pWXSJ16Ov8iBd8jckm50an547X9/APVcM4tMVRZyd5eGRy3N59JMdPPzeFs4ams6fL+3P5/N3UVzlxGrWc/bwNHKzYvnHW6taCjF6fCHmry3m7gtzeOX/euAPhLDbbfgXv4t/73piz76dwd2jWbWjjpQ4Gy5PsEW4jR+UyndLmwsoLttcAapKanwYf50+kCaXn8o6D15/iDH9UzHpBPJLGlsJo/0UVjjYUVjLXUO8+IIy0dnhNJVaaS8E2r1lEbY+Uzr8N1qXX01AVjEcg5A+VQWfrKPl50wTRhpHgU6Lo5Ur26bMCoKAzWbjuuuu44YbbjgqhmmceFTUuVE5dYKxDyYmwkx0hIk1+dWaODqJEITmXn8RViOL1pWyYG0pIVnBaJA4Y3Aa2cl2nn9vPemJ4dx+aX8+npPPaXl28lKtiOl38NHSYr5dUcoZg9OahUQHfLGklPtHBThXn8/ZI7pj7dKTUGMFZq8Bd8Ve3NuWgKpizhnOW7eexa76EF8sLUdVkzirPzx+ZQ6NfhFXQCAxLoz7ruiPXFuMEPJDZCQ3Pb+ilVOla2o4d0xMQF3yPP7KAgDc0clEnnYJqDKN3z7HJef+kwaPzE0X9OGD2c1bWdnJ4Zw3Jpsb/7MAgO+WFnDl5DyMeonlmyqwhxvQiRIJURZsJglZUdsUwDyY2atK6TcsQGjx21Qu1hE7+QZQwVvYuiI4iowU6rgkAgAqzVU7NTROAjotjubPn38s7NA4CSitbs5UO9VijvbTPdXO+p01hGQFnaRtrZ0MmPQQkmUWrS9lxZbKluP+gMw3Swo4c0ga4wenMWdlMcvXF3L/5GicC/9HzYo9CDoDZ+WMZMwfJ7Jwh+eQv9uCAGJYDEogjbDkLHxL3yOs52hqv38bU3J3Ik+7FDUUxLNzFTUfPUT2pf9AEODLZeXMWllJj6xorGYdpdUuSqqcPPfHHJSvH0Efm0Zh3xtbCSNRgNsmpxH48kHU4AHBEawro/qrZ0i46B58JduJVeoYPyiVQFDmzP4JnDcolqSkWGqdAUIHeU/qmrykxYextaCOveVNDMqNx2IUCVMaCWJo8Va1hywrIOwrx6iEqPnuFeKn3dVWHAkiJlvH2+39usVh0InNbj4NjZOAI/4F8HgOBBXOnj2bd955h6Kijp9ANE5+ympd2G0GDLpTsw9Z15QIvAGZHcWNx9sUjcNEH3ISZjG0EkYHM291CYN7JBAVbmJqHxN1Hz9MoKI5ZkYNBQhsmY9+/jMMyTAx9BAd4ccPTGFNrY3/rI3iv3PraepxISGfm+gzrkbxe6j/8X80LvsCQ3wmMROvx7djOeMGNNcWCskKG3fVsGxTBcWVTvp2jUZfuYW4qX8h7rzbsIe3rhnWr1sMur3LWgmjFhQZ54b52PJG4HA4+HzBbr5ctIceqVa6pkQAEjaLoaUkxemD0rBZDPzjrZXMW13C2vxqXvlyM3e9uIw6r4CrqbHFzvYY3TMaqfigitxyiFBDJbqIuFbzrDlDEQ0mJg5Lb7OGxaTj6il5CFrqmMZJRKfF0d69eznjjDN47bXXAHjmmWe47bbb+Pe//80555zD2rVrj7qRGicGpdWuU6b4Y3vE2c1EWA2sayf+QuPEQ5IE/GU7cXn8Hc6RFZVgSOHcoQkoKz+mvdxuub4Me6gam1lPXmbbbMWUOBsp8eG88e1OCiscrNtRw/rdDRjscVR9/gTu/OUofg+ys56mFV/T8NMMTDGJXDwquY2XNTMxjOvHxWFPzUSyRlDxwSNE+iuICj8wLyvOjFDVfksTAH/lXvTRyRCVQZM7QLRVQgj5EQUFqy5ApN7PlZNyEQUY1SeJT+buaLPG8F6JrCvycdtbu5Akicyk8DZzYiPNnNbdgr9gY+v75fMgGg98D5i79MfWYyRqKMC0sV342zVD6JUdQ0ZiOFNPy+bpW0cTZpKOdiy2hsYxpdPbak8++SQ6nY7TTz+dQCDAhx9+yKRJk/j73//OPffcwzPPPMN77713LGzVOM6U1rjJO0XahrSHIAh0SY5gw85aLj+j20nfWPdURxQFVJ8bi/HQsS4GnUS3JDOBNW1Fwn6k8s0srpY4c0g6I/sks2xTOSFFYWz/VOKjLTz9YesMs/QEK461X6MG2l47UFmAGgxQUOnmzssGYDRI1DR4EYDUGAPSyvdQc4fRsGoWiseBuuxd/nbJn3nkw500uvzUu0OotugObdWFRYE1kvyqEC/f0ANl47fUfbIB0WTFNmAShtg0To+pYfifB7OpxMsNkzIx6wW2l/vxh1QirAZysmJbst1e/nwjt17cj6JKB0s2liPLKqf1imZUVzPyD0/SHCx0AFNqDsakLqgBH6LBiK9kO9UznyfsD49T4faQFm/jjkv7EgwpGCQRWVZQ2gmS3u/dUjrZd01D47eg0+JozZo1PPbYY/Tq1YslS5bgdDq5+OKLsdlsXHLJJdxyyy3Hwk6N44zLG6TJHTilPUfQHNC6dmcNJdUu0uLDjrc5GocgFFKwpeZgLikkJc5GabWrzZzcjCj2lDXSNRpsJiuKr/0eY4opAqcnwDMfr2fC0DSuO68nK7dWkhxn44FX2qanW/Qqnj3rO7TNI5gRjBZm/LiTBqefHlnRDOmRwDfLSrh8+HmIcgBfQXPcTrC+HOOCZ3hs2hXUymE0uoNEpE+ievtP7a4dMXgKJUIS/dOCOD+5HzXY7DmTXQ00zH4NY2ZfwoadT0SwjkG6Mly7vkfxe+iR3Y+w3mNxOxw8vWhvy3o6ncjG3bWkxtm4eHw3wiwGupjqqXn/fn4ujIwp3QnWlFA39y0QxBZPnLnXWL5cUcXMZSVkJIZz9ZQepMRY2q+KLQoEZJWi0iY8/hDZyXasRukYtRjR0DgyOr2tFgwGCQ9vdsEuXrwYs9nMgAEDAJBlWatzdIpSVtP8wxPbQYPKU4XUWBsGncjGQ7SL0DgxUFXAaMNYu4t7zs8gPsrSajw1PoxLzuzOzMV7Wb7Lha3fhA7XkjIHIooCf760P4PyErjj2Z/4cPYO3N72e3e5fSFEfftFBvX9zmZ2oYnH3lnN+p01FFY4+HZpAY++s4qBPRKp9ggokqHVOcG6MoKz/kXkvH+SveFF8LuJHHs5iAfH9wlEDD0PdHpcfoXAio9bhNHB+As2IInQuHIWDbNfI1hbguysw7XhRyo//ieWyGhqGpurZF80vhvXnduLylo3s1cUsXFXLQa9yB6PDdPkO5q37wBBb8IyYDLRZ15L/cIP9v0DNAsfnT0eX84kvl/V3CalsMLBQ68vZ0+FA+nniQ2CwI7SJm5+ciH/encNz36ygVufXsgHc3egaK17NE4gOq1kunXrxpw5c8jMzOSHH35g5MiR6HQ6gsEgH3zwAd26dTsWdmocZ0pr3EiiQGTYqS2OJEkkIzGMTbtrOXt4xvE2R+MXcKtWIoaejbF0Jw9f3Z+9VV7qmnykxYcRGW6kptHL368bhKl6O+bIHPxFXfGX7zpoBQH7WTdQ4NbTPS2SyDAjD762vGW0pMpJ11Q7u0oaW1137qZGrs0di7zmq9YGCSJy9kg+fW1rG1v9AZlP5u7k9ot641fcGOLSCVS3TmJR/B4UvwfMEQQqC0m48G6CjdWgyOijknDvXEWosYbuaUnUzOrYc+XduQrkQJvjasCLY9nnnDtsCgU1AYIhmSc/OBAnWljhYNG6Uu6/ejAvLJMZ3+tPZCdHoBqtlDmDuEN6Iq9+DmXrXEL15Ri7DqFUieM/H+5s6QG3nze+3sI/rx/W6kfGE1R44r01/Hwnbf6aUrqnRTEsL45QSAvc1jj+dFoc3Xrrrdx000188MEHGAwGrrvuOgAmTJhAbW0tr7zyylE3UuP4U7qvbYj0O3i6y0wMZ87qElzeIDaz/nibo3EIFEXFrQvHkpJDlK8JndlNMNzGgi1lfPZTCReNTmWs61v8BRuo1huJGjediMFT8JXtRDRZMGcNYFGBjFcO0jU1sk2D2e+XF3LjtD785/01+AMHqmOv3VHDDRPHoRRvIFhd2HJcH5XI1qqOe6PlFzXg9ClgsiKOuBK+frRNXzB93hiC+jDc25fg3r4EKSyqWXQ56hAtYVj7jMcTUkCSQO7gWqKEKrffdNWzaw0jh19KQoKBv7+5os24Pyjzv++2MbxXEtU+lYpdbr5etKml51vXVDt/vnQK+YV1BJ0qL3/evD2YmxHFxGEZGPQSkiTsa06ropOavzP0eokla4vaCKP9fLFwd3OmXod3T0Pjt6PT78MRI0Ywa9YsNm/eTJ8+fUhObna7XnnllQwdOpTu3bsfdSM1jj8lVa5Tsvhje2QlhqOqsK2wnsG58cfbHI1DIEkCJn8tVV88QahhXxFHQWRcj3F0vXgccihEcE9zfI0a9FM3+w1EkxV9TCpqyI+/fA97hAn8sKqMKSMzSYlrXaunrsnHjB93cv9Vg1m2qZydJY1EhhkZOyCVhdtddBnwJ+KUanRFK5GMVnS9zkAtO3SpC68/hE6UWFssMXLaP2DDV4TKdyJZI6D3ZOotmZgd1USfdR2NP81AdtYDYEzqSuT/s3fegVGUeR//zMz2TXbTOymk0EPovSugIooF7L2c9Zp6ep5nufNeC7azK6iHYkdR7I0iHULvkEJI733rzLx/BAIhGyCQBsznD2XneWbmt5Od2e8+vzbuCio8RqwWHX69R1O7dYnPc1gSB1Kz7jufY4KkQ684KanwtphBlpFbxbVTe5FbXMucr7c1Gdt7oJJ/vLGSx28bzvbMBtumDo8jPsrO3EXbqKptWLFKjLEzuGc4ol5EUVQEQaCg1HfMF0B5tRMt6kijq3BSIr1bt25069at8XVJSQmDBw8mKSmpzQzT6DooqkpeaR3D+5wdQsHfYiA0wMTWzDJNHHVxzGodxR8/jlx3RNsPVcG97RcSbEE4E8Zi6tYLV/7eRpGhOOtw5e4CwJjWg/JCLwadSFFZPZeMT+K7FVnkFB0O7t6dU8Hjc1ZzzdSepCaHsi2jlLe/2tooAlKTQrjuvBuwWw3UeFS6hfuOUwLoERdIZa2LxenFXDM5mfd/3EOAeRLJQ6dRXS9z4IDCpeOCqX3/j+iDogiaeB2C0YzeFoIjZyfVXiOqXqFm4f8RPOkGHPu3IVeXNjmHYcA0XJIVVfZth7XXSBw7lqG3jDzmtfWz6PlqWYbPsfJqJwWldSR3CyAqxErfxJAm7jloEFgPv7GCZ+8Zg0FoKCiZlhLK0o15Po+ZHBOAJAht3n9NQ+NkaLU4qq2t5cknn6Rv375cffXVfP/999x///3Iskx8fDzvvPMOkZEtF1PTOP0orXLi8siEnuGZakcSH2Fje1Y5qqpqKf1dFFEUkMtymwqjI3Bu+Jaw3iNwdeuNJaE/kn8gVasX4Tyw4+AMASVpLGEeNw9cF8fa7UXM+WobV07uSViQhYLSOg4U1fDz2hwkSSA1OZSqOhcWo45LxyeSlV9Ft4gAAv0NvPL5VgpK64gO8+Pm6X2YMT6JL5fsa2KPySBxzdSeRNlgZGw4Sn0ud58TgioZqHHIOJxuBrAOdc8BrMMvoWbx/yjJayg/YO03nrre0/lhYxmXBqZTV3KAkm9fJWTKLXjK8nHs34ZosmJNm8ySTBX39iqG9puMe+tPTWzQ2UPxT51AwYf/Ivmy8bSkRZJiAgAaA7d9sS+3kp5xAfz16kG88cUWn3Nq6j1szShjaI9QZFmhd0IQAf5GKmuaB5Jfd34vdAItut00NDqSVouj5557jh9//JFRo0YBDXWPevbsyR133MGLL77I7Nmzee6559rcUI3O41CK9JmeqXYk8RH+rNtVTH5ZPdEh1s42R8MHoijgLsttcVxx1qGU51Hxy7sACDoDoRfcCaKIK28Pxom3sa1UwM+s59/vrAXg+gt6U1Xn5qOfd1NS4SAu0p97Z6Vh9zNS53ATpHMxJa4O9ixjVPee/F7vz0ufbGo8Z2ZeFQ+/vpLHbh1Oj9gAflqTQ2Wti5TYQEb1iyTK4kFd+wV525Y1ZHsJItYeQ/EfOAWrJFOWsQpHbSWhVz1BzeLD76V+1yosaRcxuocN55KlAMg15RR9/gyG8ASMkd1R3C5qty9jR8Vglm8uQD91BGnTh6Db/Ru46zGkjKDcrzuVTid+/cZgCrRz1eQezP+xaf0no17ijktTMRskbFYD1XXNA7sBYkL9WbujmNBAM1n5vgUqwPbMMkb0DkeWFYyiwJN/GMkbX25h676G+K7wIAu3XdyPULtJq3mk0WVotTj69ddfefDBB5k2bRrbtm0jLy+PBx54gEmTJuH1enn00Ufbw06NTuRAcS1mo+6sCk6OCfVDJwlszyzTxFEXRZZVTKGxLY6LZr8mqe6q103JN68SccNT5JZ7mL+ymCkjbbz8RUMz7XOHxlJe5WTR8sM1gHZlV/DO19u55aK+yLUVGHZ8RH3OVgB0vc9n/sK9+OKp/63jgWsHExFsISkmgJyianbszSPSs5S6HUfUL1IV6natRvG4MUYnE3LeHyiY/xgc7RITRAIkJ4FhegqOCsJ2F2XhLmpoTmvuMRxJEFBVeOv7LPwteob2HEdqUhC5RU4++2gbb/xpKEEjLqFOMDJhYAy9E4JZuDSDsmon/RKDmTo8HrNeQBQELhmfxHvf7uBozEYdiTF27np2Mbdc1JfQAAsFZb7jiWLC/RpFj6KoWHQif5qZhsuj4JUVTAYJ48FikRoaXYVW1zmqrKyke/fuACxduhSdTte4imS323G5Wi7lr3F6cqC4hrAA81nlXtLrRGJC/dieXd7Zpmi0gKqqCIFRDdlcPrANmkrttqVN95E9eAozEAxGpg+PIt7PyQs3JvPIFSmcOySWb1dkNjvO9LHdWbB4L+GeA3gOCiMQqPbqm6WvH8LplvHKKt+tzObTX/ewv6CGaYNCqNux3Od8R8YGTJGJVOfswe+a2UfVN2roXVa19lvqMjZi7TmixWsi9RzLtqzDn9maeg9bMisICPDny6WZBPobUUqyyJ/7V0y1eehFlahAM3de0o9/XD+E6y/ojdUgosgqXq/C6P6RTB4Wy5G3foC/kX/dPqIxdmjx+gOc10LZC0kUGNk3Eq/3cOacqqoIiopJEvAzSOhAE0YaXY5WrxxFR0eze/duBg8ezC+//EJaWhp+B7sxL126lJiYmDY3UqNzySmqJT7i7KsWHRfuz6odhXhlBd3Rxew0ugTVihXpvL8hLXntcM0gUYdt4LlI1gAcWYdjYSS/QKS0aVQF9MRsNOJXtYP6L/6HWFdJuH8QtvHXM31EFAtX5jc5h81qJDXWgrhz0RFbVfTHKWth9zPw0PVDEASB0EAztVW5HF1x+kgUtwslbzu/VnZnUr/Dvc4k/yD8eo+m8NP/g12ribnlYD+3+uom++ujUiCwG3+alcA3K7Kod3rpnxxKbIQ///1kI15Z4fLR0QhbP0H1uChe8DRh1z1FnWoBWUWnE9Ef1VRaVFRmTUzmorGJFFfUYzXpsfsZMOkldu+vACAjr4pJQ2OZPCyWn9fmNMYwmY06Hrh2MGa9iKq5yzROM1otjq644gqeeuop5s+fT2ZmJs8//zwAd999N7/++iv/+Mc/2txIjc7D4fJSWuVkaM+w408+w4iL8Gfp5nwy8qroEXvm9pQ7nZEEmLeqgoEpN5EyWocguwkODcSx9TfKfpzTOE8flYJjxC28/VMuu75u6DLfJyGQW897GMPvr+MpyqRi0QtMm/43EuIGYNBLiILArv0ViAIYJAHV2zT2xuIpazG4OCzQTE5hDa9+3tC09aHrhxBtMDSbdySC3oBqDWJ/SR27C4wMOO92DCHRiGZ/arJ3Ye41Gnf2Rmp2rSHwyn/j3Porrj2rEfRGhN6TIKY/ckURIRu/5IbJ97BubxU7ssr44IediILAxaNiGGgrwbVmJ0BDX7e6cjBbjm2XqmKWBOJDrY3CR1BVBvYIZfPBJs1vL9zK+SMTePTm4RRX1GO3GomP8scgCpow0jgtabU4uv766wkODmbdunXcfffdnH/++QDo9Xoee+wxZs2a1eZGanQeuYfahgSePZlqhwgLMGM2SuzIrtDEURdFpKEFxt9eWd5YpHDmOXqmRicfMUmHMvpW/v7OjiaFHLdnVfDQ/2qYfePt8NlDoCp4Vn+Mru+tPP3RHgQB+ieHMm5ANOm7VEgYCkdUtFbXfsL9l9zJ4/N34j7CvWY0SNxyUT/mfdcQqxMSYKLW4WFjoYMhsX1x5TStGwRgiEzEU3IAOWks6b9nAAL9+6mUVznJzBNZvN2GXj+MKeMmo7covPRVNknRaUy4YCKiKFJYL6FUOUkoSEfs1guTp5Bx9hLGpcG9U9NweVQcm37E9XPT7DXV5UCwnFj2/JFzvF6F4X0iWLB4H9V1blQVvl2RxXcrswjwM/Gv24ejB00YaZy2nFSdo2nTpjFt2rQm21544YU2MUija5FTVIskCoTYzp5MtUOIokBsmD879pczg+6dbY6GD1RVxWrU8czdo/l2RRY7ssvJyK3E2z8J05R78Kz8EF1UDxZtLGsijA7hcHn5bVsV53YfgCsjHXfxfkL8dAePDZv2lPB4wWoev3UEZiEUecevjfWSvCX7Cdz4P1649UbW5XjZl1tFTJgfPeKC+Pin3eQW1yKKAted35svl+zD7VEYf8PtqN+9hLvgcJq/ISyOoHFXUlVWxreba/F4FfxNIs7gZJ75Yj+Z+Ycz8lZuKWBM/0gG947g7YXb+GxxVuPYNef1xC/+XMI8eZRl7UWsL8ez63cUZx324dOx+PvRdO1LQAoIPyFhJIoCBtyIqgdV1ONSDZgEgf/cMYq5X29n095iVBUSowO4fUY/rAZJE0YapzUnJY7Ky8uZO3cuK1eupKSkhDlz5vDLL7/Qs2dPzjnnnLa2UaMTySmqIcRuat5A8iwhNtyfX9MP4HB5MRu1xgZdEVFQWbrxAOcMiSU2wp+icgc/bSyle3QyxhF/Jj4mmK0fNF+tOcSW/bVM6pcEGemIFhs1zqbZYBU1LvblVpKZX8XkqQ9h2LsYee9KEMAUnYLZbmbcQDuhARYCbEa+WpaJw+1lTFo0Ewd34/tV2dTWe7jr8v489tFOLhh0LWPOM+OtKUcw+aEgUuzW89kOB8u2NlT5vnBoBCt2lZGZX93M3t83FzCkdyQBfkYqaw+79FKTQjBJKh/+rsOpxDImbTjh/S/B4KrEuWY+9v4TEC22xlglU+ok3JIFjtCMbo+Mw6tSWulEECDYZsJf50WsyqVy2Sd4ynLRB0ZgH3MFamAsVr2euy/th1tWUFQw6sSGWkWaMNI4zWn10/7AgQNceeWVuFwuBg0axK5du5BlmaysLF577TVee+01xo8f3+aGLly4kLfeeosDBw4QGxvL3XffzXnnnQdAbm4u//rXv1i3bh0Wi4XLLruMe+65B0k6dhl/jeOzv6ghU+1sJT7CH0WF3TmVpCWHdLY5Gj5QZZWJg2J56v31nDs0lvMHheAvupBUByp6PBIE+hnJocbn/gF+ekRnw5i+//l8ta6s2ZyNe0pQFJU/vZ3NiN59GDNsOCqwIdvBxGo936/azsxzerBlXwkj+kaQEGVHllX2F1YzcVA36vtG8MYXWygsq+et4lr6RCZjDErivR/2sj27kpKKw8UWZ05IwIibnzaWNrPjEKu2FTCgRxiL0w8AcN6IeFxumb/PWc2sc3tg1Eu8+eVWSiud+Jn1XDz6YsbpRaw9R1K/ZzW6AReSZezJhl+yueqcFBRZQQF+35zH659vweWRSYkN5NopKZgd26n47rXGc7scNRR/8i8Cz7kJXfIYPDIYDwWnq6pWxFHjjKDV4ujpp58mODiY999/H4vFQt++fYGG4pAul4s33nijzcXRV199xcMPP8zf//53xowZw7fffstf/vIXIiIi6Nu3LzfffDPx8fF8/PHH5OTk8PDDDyOKIvfee2+b2nG24ZUV8krrSE4L6JDzKbXlyCWZ4K5HsAQghScjGDpXmAX4GbBZDezYX66Joy6MRS/y0HVDqKssR5e1AgJDKfntfeSaciT/IC4efT+b9/kWGxcNDsazeDmGlOEUBPRna8bOZnMC/Y1kF1ajKCorthWxYltR49iQvlFMHBRLUVkdveODWJKeR0KUjb+9sgyzSY/TLTdJ+Z88KAKrtxLX2qXM6pFCef8kVu2twayDkSn+WMp2Iom98LTQOBYaVngC/Y1EBFs4Z0gsaSmhzJ6fzoAeYciywjs/7GqcW+vw8MHPmRQMjOCqSTMoCB7Nl2tL2JG1G50kcsn4JPSSQFW9F5Nex9+uG0y9y4vT5cWs1FJ5sIjm0VQu+YCIxEF40OqAaZx5tFocrVq1iv/85z/YbDbko27eWbNm8ac//amtbAMaYgpeeuklrrvuOq6++moA7rjjDtavX8/atWvJy8sjPz+fTz/9FLvdTkpKCmVlZTzzzDP84Q9/wHCcDBGNlskvrUOWVcLbORhb9Thxb/sFOW8bCBKCwYTqqgfpZ/TJo9AlDkUQOsetJwgCceF+7Miu6JTza5wggoAkgc5owi9xAIXv/a2hAjUNlaQj6nZz8choFq5s2tdr1sREQvxExAsfolI28e85m3wdmrSUUL5ZkdVsDKCkwsFXyzJ54NpBZOdXk9YjlANFtfz5ygE899GmhsKHJh06SSQiyMQF/ayYAiyUf/MyomkDiefdRqjnB9R6F66Fu3HKHow9RjCyzyS+XpHj85wTB8XQO8rAOYOieH3hDmLD/Sksq+f6C3rz3yMqdh/JbxsLOWd4Ik9+sqdxm1dWcHsU3vhiO5sOZp4F203ccUkqsz9I59WbEvC6fbcQUb1u1PpKMGviSOPM46SCKHQ637u53e42LxSYlZVFXl4eF154YZPtc+fOBeCxxx6jT58+2O32xrHhw4dTW1vLzp076d+/f5vaczaxv7AGAdrVraY4qnGt/hjVVYuu+xDE0AQEUUL1OJHzduLZvRS5Ig/jwOkIUudU6I4L92drZjlVtS7sfsZOsUGjZRRBIH13Ce99s53hvUO43Lq2URgdwr3sPSYPvphJd09ka64Tl0chPtJGaZWDArcZt0cmyG7ivqsHMefrbZRVOQHQSQJ3X57G8k15LcbRhAVZKK928MnPewgPtvDNJ5sY3T+SGWMSeP2+MdS5FEoqnKioxIVZ0Bv1FLtVuPIl7BaJykXPNjbCPYRr71qmXn4xSzcbGhvcHiI+0kZSTAA179yO6dr/svdAJXr94RCCQ1l7R6OqUFBWh9moa5xjsxooqXQ0CiOAc4bE8vnivYgCmPz8MU65peG4mZuo37eh6bUVtTg8jTOTVn+yBw8ezJtvvsmIESMwGhu+KARBQFEUPvroIwYOHNimBmZlNfxaq6+v5+abb2bHjh3ExMRwxx13MHHiRAoLC4mIiGiyT1hYQ02egoKCkxZHOt3ZE4B8KNj66KDrAyW1BNtNmE3t8wBU3PW4V30EsgdT6hQE8+HCdxgtSN0HIQdE4N69HPeGhZiHXdYpK0jdoxrs2p1bxci+EceZ3ZSWru2ZSGfcM6IosCe3urGeUGywETU32+dcz/qFGA5spueEP/PCgt2MTYtCVmHuV9twHsxki4+08c+bh7FrfwVGvURiTACFZbWEBPiuBdQzPpCC0jq8ssrWjFJGpqYCsHxzAeMGxlBY6eK/n2zC5ZGJjfDnlul9+X7lPtbsKEQUYHT/KC4fdRO6H5/DW3nYVYcio/70Is/c9gjfrilg+dYi9DqRMWnR9O0eTFF5HREJfRCLtjN5SDROl5eIYAv64/wNLEY9niOqVc86J4Wvf29aFTwyxMqyjXm8cGs/hD3LqNzZUNXbmjKUiFkPUfLt68g15YgWG4LFhq6TVnW7ImfDfX620Opvvb/+9a9ceeWVTJ48mWHDhiEIAnPnziUjI4P9+/fz4YcftqmBtbUNdXb+9re/cffdd3Pffffx448/cuedd/Luu+/idDqx2WxN9jkk2k62lYkoCgQGnn1LxTZb0xWiA8V1xIT54+/f9itHqipT9vNH4HViH3oBkrmFCtyWBDwmA9WbfkHdvRTbkPPb3Jbj4e9vJiLYwt68Ki4Yk3hSxzj62p5pdNY9U1nrYt73h2OEiqo9iPYIKMr2OV+whWEwGDDoRaxmA28t3NpkPLugmn++tYo/zhrAup2F9E0MwmzUM35QDHq9yBeL9+FweRFFgeF9Ipg0JJZnP2goKuln0eN0N6zI6CQBg17Hf95bhao2XJ9bpvfl6ffXU+do6JumAEs25LFpbyn/d9Uf4bO/N7HFW1GALXctM8eNJCk2mMpaF2t3FOJv0VNZ4+J8vQXPhkVcdeED7Cpwc9dl/dmTU0FKbCB7cpq7gQP8jcSH6Hnq+l4s2lBOclwIaSmhvP1V00y+6jo3D12eiPTD09RUH15Rqk7/gfq96YScdztFnz9L+Iy/YAoIxiweO/GlwXUnY9BLWqV5jdOGVoujlJQUFixYwMsvv8yaNWuQJImVK1cyZMgQnn76aXr06NGmBur1Da6Um2++mRkzZgDQq1cvduzYwbvvvovJZMLtbrrsfEgUWSzHrvzaEoqiUl1dfwpWn15IkojNZqa62tHY40hWFDLzqxibGklNje+Yg1PBtet33CU5GPtOwqUaod53528ALKHoEwZRt3s1sl8Y+pg+bW7P8YgN82PDrmLKy2tb5Tr2dW1PN05E9HTWPeOSVXKKDmehLdlczPRrzoM9q33Otw2/iJ3VXu66rD9Pz1vvc05VrZui8noG9gjjufkbmXlOCnc+8xt/u3YQz9w9mrySOkRRYMPuYp6et66xAOTEwbEs39zQemRAjzBWbclvrCE0pFc4q7cVNAqjI6mscbEqw8GIbr1xHziyyauALjaVv83dRE5RLYIAF4xKICHKTllRMZ6d2Rgju2M2m+ib4IdLVrGa9PRLCuXpeesaXYPQ0Mrj4ZkpyIuexFBdzC2Trkef2INSH7f2/vwqRukOUHuEMDqEt7oEd1E20X94GZdgxnnEOY5GFaC63sv3q7LZX1hDQpSNqcPjsZl1J1Z18jTk0P2ucfrTanH05ZdfMnLkSJ577rn2sKcZ4eHhQIMoO5KkpCSWLFnC0KFD2bNnT5Ox4uLiJvueDN4WGkqeyciy0vi+DxQ3FKMLC7Qgy237IFOqCnHvWYkU3Rv8QlCU419rISwRsboE5+YfwB6FaAloU5uOR2yYH2t3FpNbXEtkcOtXSI68tmcqnfH+VATCgywUlDZ0hK93evluWz0XTLod19J3G1t+CDoD/pNuYvFeL3sK8rlsYhJF5S2LubySWvytBnZml1Nb7+apu0bjcntwub0UlNbyv++aZrT16R5MQpSNT39peBYF+BkpqTysPJJiAli6MZeWWLOnmuG9esER4ihg0vUUu4zMPLcHTpeXYLuZdTuL2LyvhMl97TiX5xMy/U/UugRARhYE1u0sot7p4YFrB1NS4SCvuIZIP4WkYGDFa3jKGlL/y394i/CrorDYu9M/+XAbEIDoABH37hUt2lq3ezW6XhNwKdCw/tUcURLIyK/lyffWNsZqbc8s4/uV2Tx683Biwywobfxc0dBoS1otjp544gmeeeYZzj333Pawpxl9+vTBarWyefNmBg8e3Lh9z549xMbGMmTIEBYuXEhtbW1jA9zVq1djtVrp2bNnh9h4JpJVUI0g0OaZaqqq4N78PYLZjhR94itAgiCgSxiMZ8v3uDd9i3HklQh03BJ9TJgfkiiwPav8pMSRRvtglARmnZPCix9vbNz29eoCiipDmHnhE0RZ3KiKQqHLzJsrili9s6EydWpyCIH+Rip89EUD6Bbuz6c/76ZP92CMBh3/fmcNtQdXfaaOiOepO0exLbOUOqeXHrGBVNS4eOHDDY37F5TW0T8llPRdDT/UXB4Zq7nlhAI/sx59t97oyjJQLQGY+08mu8bIP19eg9EgoZfExvMDjElOJeyyB3AbAkEBQRT4ZnkWXy9riB/6alkm4wdGc11iEY70b/EcGc90kKrfP8U27c/cdVkqr32+pTEo2yOrCLqWs3wFnQGv2nz1VBBARsDhlqmp9iCJAldP6cmCxXupP1hYU1ZUnv94A8/cNerksoE0NDqIVn8+IyIiGuOAOgKTycQtt9zCq6++Snh4OKmpqXz77besWLGC9957j7S0NF588UX+9Kc/cd9995Gbm8vzzz/PTTfdpKXxnwLZBdWE2EwY9G1bSNN7YAtKdRH6vuciiK0TN4JOjy5xOJ4dv+LN2og+YVCb2nYsDDqJ6FAr27PLOWdwtw47r8axkVQ3/SPgktExLFx5OKNs54FqHLokCkQ9Ly/YQlZ+VeM+ogC5RTVcMiGJuV9vb3ZMs1FHdKgfuSV1PHJhX/7vvbVNeqf9sCqbn9fs576ZfRiaaKPQaeH7Vfsb50QGW5kxPomIEGtjjNLKLflMH5vY2Mn+aMYMiOatFfmE2c9D9UpMNYTz5IcNgdAut4yLpmVTVmY4uGhUX9wHs868qsC2jFJ0koD34IqM1QDerA1NA72PwFOej6B40al67rk8FYdbwen24m824Fd8XrMMukMoPc9h0/46+icENXEVexB45bPNbDminlTvhCAeuGYwz3ywvlEgVda4qHV4CTBr8kij69LqT+esWbN48skn2bhxIz169MBqbf4r+uKLL24L2xq58847MZvNvPDCCxQVFZGYmMjLL7/MsGHDAJgzZw6PP/44M2fOxG63c9VVV3HnnXe2qQ1nG5kF1YQHnVzMVkuoXhfeXcsQQ+IR/U+uoKJoD0MMT8azawlSRBKi2X78ndqIuHB/1u4sxisrWmBpF8HgqaZs3l85t9+5TLplAqV1Kka9iF2sR2/TU1yrNBFGFpOOP185kC37SrGYdJw7NJZf1+U0VnUO8Dfy5ysGkJlbyX/uGMmu7PImwugQsqLy9nf7SL6hBybRy33TY/GQwIFqkcKyehanH+CisYk8fONQ3l64lf2FNViMOkamRrFyS36TY00c3I2qWhcb9xQzqn8Ul0/sTlGFA4+n5SKQ9Q4viqKiCgIur8L2rBKG943k6im92J1Twee/7qGgwo0SFweZm3weQx8SgyLqQAZBUbGZJOIibVRU1CFG9kAfl4pn/5aDswWMUYnoY/uSZ4ojN6+GAYnBHCp1pwoCry/Y2kQYAezIKufTX/cwY3wS848oTKmcoTFHGmcOrRZHTz31FACffvqpz3FBENpcHAHceOON3HjjjT7H4uLieOedd9r8nGcrbo9MbkkdkwYGtOlxvRlrUT0udLGnVntKF9sfT2U+7i0/YBw2E4G2ra3VEgmRNn7fUkBGXhU9YgM75JwaLaPXS9Ru/BV9RCJq/CDqPAIGnYC/3otoCuThuencdGFT1+0tF/Xlo592k5lXhSDA1OHx/OOmYdTWewgLsuB0e/lx9X5Wbi1gUM8wwgJb/oFQXu1EVsD16UPUup3og6KIGH4Fm4sMbNxTQlpKKCaDxCOXxuJCT6XXQFpyCGPTotmyrwSdJDI2LZJgC9SXFDDsnqEY/Wx4vQp7cyronxzKxj3Ng6IBhveLxC0rrNlZxNtfbWsS3zwmLZrbZ6Ty5pdbkMePhI3fgty89pF9+EUIgm+RUqeaKel7FaF9pmKozccVM5i1WfUUVTpJsEqMHRDTJBbR4VHYuKfY57F2ZJVz2cTkxtdWsx7/Y7gYNTS6Aq0WR7/++mt72KHRhcgpqkVR1DaNrVHc9Xgy1yJFJCMaT21FStDp0SUMwrNrGXLednTRfdvIymMTHmjGbNSxLatcE0ddABEFVW+mdPAtzP58H9V1DdWv+3QPZlBPkaLyeiprXYQHWSgqryfIZkIUBDLzGlaSVBW+X5XN96uy0etE+icFMzothu7Rds4ZGsvPa3OICfNrcs7YcH8iQ6xU1rioc3qQC/eguhsytjzl+Xi+e54pU/9IlTuC4nIH+WW19PJfibvXhfxzzhpkRcVs1JESG4iqqizbmMfTtw/Cu/BxLMMuRD9kJqIEo1OjSUsJY3tmWbOVqz7dg4kINFNV5+Gthc0b6v6+KY8ecYHEhPkz57cC7pz+IK5fXkOuKQdAMFoIHDMTx771qJmbMQ6egUtu6j7XCaCzBvDp2ioGpAzipVc3NOmZFhls5ZGbh1Fb78ZmNaBy7JUgl0dGEBqu+R9m9MOoE7SAbI0uTavFUXR0dHvYodGFyMyvQicJhLZhZWw5cy2oNGSotQFiYDRicBzubb8ghiYgGto/SFoQBOIj/NiWWcal406u3pFG2yGrAu7kSTzx3zV4j4h96RkXyKqthQB8uzyLa8/vxfMfbiAx2s7WjOZNZQE8XoUNe0qZOCSOD37Yhckg8derB6GTROx+BvwtBv58YRzmygykknUoCZHYegzBsf4rjk7O9678kGsve5S/vLWFyBArStoIFqwqQj6oLhwub5PssKWbixgb1xd9SCyyrCDLKnY/PbklNfz9xqH8sGo/W/aVYDXpmTCoG+MHRuFvhE9/y27x2vyyNoexA6L5bmU2FebehM98gtryclBl3JIVt+Si9pf3QJTwGzAFF03rjCmKSmSgmcsmpvCnF5Y0ayZbUFbHB9/vxGY18Mu6HC4Zn8xNF/bhnUXNY7gALCY9g3uGc/mkZIL9jZow0ujynHDgxKeffsr5559PWloaF154YYtuNY3Tn4z8aiKCLEhi27irVLcDT1Y6UkQSgr7t2m/oEgaCquLZ+nObHfN4JETY2F9US3XdMeoyaXQIgiCwfEdZE2EE4JXVxkSCnKIalqbn8uQfRpISG4DlGNXezQYJ98E4H6db5s0vt+B0eXnithE8enkshh/+jWfxWzi3Lca98kNK592PtXsaxqjkJsfxVpdglbw8f2tf/j4zBV1EErtza3ydEoCtWVUQloQhpicqKi4FCssdzJ6/gafnrSfA38jN0/syY0ISfhY9pVUu8is9TeoYHU1lrYu0lFBuvLA3z324gR1FCnfN3cdd72Tx57e3kVkhINlCGipxO33bJgqQkVfZGOB9NKu3F5KWEoZXVvn01z1IokBSTECzeWkpoUQEWbhjRj9C/Q0IWryRxmnACYmjBQsW8M9//hNZlpkwYQKSJPHoo4/y8ssvt7d9Gp1ARl5Vm7rUvFnrQVWRotq2tIKgN6FLGIxcsAtv3o7j79AGxEc2VGPfnl3eIefTOAYCZOY3/2Jft6OQ0f2jDr/eWcRT89YxuFdEk+1HM35QN1ZuLWh8LYkioYFmwgxOvIvfRHEcdS7ZS+kPb2Ef1rTvI4KIKnsprXQy98ds9hU0uPRaIsyuJ3DABJyiP1UOmX+8uZLc4lq8soLD5eWHVdm8/OkmDDqRrPxqHn17Fa9/sZUecS27dnvGBfL7pjyem7+BimpnswSClXtrMUZ2bzBX5/sHiyAIx/wRoChqE3fawmUZXD4pmSNrpA7sEcaFo7vjcHlAUc7U2o8aZyAnJI7mz5/Peeedxw8//MALL7zAwoULufbaa3n//ffb2z6NDqa82kl5jYvokLYRR6rsxpOdjhjWHUHf8hfEySIGd2twr239EcVRdfwdThE/s57wQDNbM327ZzQ6DlWBHrEBzbbnl9Zh0EukJYc2bquqdfPch+mYDBJXTk5ptk98pI1BPcNYv6MQu5+B+64ZxCUTkvhuZTaOujrchVk+bdCHdgNrCObkIXCwx5ilxzD2lqrcN3cbv20s4O2vd3DeiPgW38cFI2IRBBGPAm8tbFitOjqGp29iMKWVDhanH0BVYU9OBUkxAdiszcuVSKLAlOHx/LQmB4BLJiTx2/oDTebYrUZsA6diTZ2A0oJLWpYVesUHtWh3dKhfkzpRJRUOAvyMPHLTMB68bgj/vHkY3aPtvPr5ZixGHYgiHsCLgKBle2p0cU4o5igrK4v77ruvSduEa6+9lnnz5nHgwAG6ddPqvpwpZORXAxDVRuLIm7MFvG6kyPYpyNlYHHLrD7jTv8I48iqEdu4UnhBpY1tmOYqiIraR61Gj9Xi9MsP6RvLRz3twuZumvb/xxRaeuXsMk8vqWL6pIVB72rBIQuQSLu6r48IBQ0jPcrAtu4qeCcEIgsBz89ORJJE/XzmQN7/c2lh1++LU5isr+vAEGHMbq7Mc7Pi1kpjAyYy/9DKMGUuxDZ7KvS8eLkpZXOGgvNrJ+SPj+X5VduPqiSgK3HZed0w7v0PpMxyXycr2zIYVSbvV2KRm0cTB3Zj3bdOq3HO+2sZfrhrIV0sz2LS3BFWFxGg7V03pyTfLMwkPsjBtdAIlFQ5WHbEiBjAmxUzJN89gH3IBgii0VOgau9XAgBTfWXOzzknhs9/2Nr4OD7KQVVDNG19saTLv/msG4vIqzPluO+t3FiFJIhMGxXDp+GSMEo21qTQ0uhIn9C3idDqb1TM61JqjIwtCarQ/GXlV2P0M+LVBqq2qKngz1yIGxyKa2i9gWtAb0CWPwrP9F9xbfsKQdl67pvd3j7KxekcRWYXVJEZ1XJ0ljeaYdQL/vn0ks+enN7YDsZh03HhBL7zOOr5fmUWw3czUQWHEqblUfP8xntJcBL2RPv3GMXzsOSzZW8+rXzW0/ZgwqBtL0nMbhRFAtUeH3ezf6FbT2UNxjLqDf/xvF46DRRjXAgtXwN+vn0pBgRuHq6lYm/fdTs4flcCjNw+nqsaB5Kmje4getn2HZ9fviIMmNZn/6/ocrprSk3kH25RYjHoqa5tW884vrWP2B+mcMzSWmeek4PLIFJbVU1xRz6Qh3UiKCeDdRdtZta0hOL1nfCD9uvnROz4Aa9EGXDXllP/2PrbaKoyDLkb24UiQVJW7LuvPL+tzWPR7FnUOD4nRdi6dmMy6HYUcOKKv3ZWTe6AoKjargeo6NxHBFq47vxfxETb++t/fG6+V4lX4aU0OG/eU8OTtI7VK2RpdkhP6XKqq2qzZpiQ1BDyeSF8sjdOHPbmVRLVRvJFcsBvVUY0ueWSbHO9YiP7B6BKH4t23Gq/ZD32Pse12rqhgKyaDxJZ9ZZo46mQUWSXcbuSJW4dRX1eP4qzDZtGhlGQj7NnN3eOG8tkWD8HufIoXzW7cT/W4qNnwE+7CTEZNvJ64u0bg9DQ0DnW5vUSGWFm4NAOHy8vHK4q4Z+TVOH99AwBx8KW8tGh/45d9oy0qzP5wI//5wwi6hfszdXgcwXYzsqKwalsBP67K5oeVWbxyWy+UH17CU9PgmjVGpeDV+2FCokdsILtzKli9tYDrJsXRK6wPX64pweXxNpYkOJJah4eFSzOIDLayYPFeiisa+rnNnJRMn9hAbprWhwtHdyfU4EDI3Yic8TPibjPWXiORJ1xD+eL5ODI3QNp06rxeHKW1GEQBQRBQDy5xiYrCeUNjmTiwGyoNTalf+3wL2w66lg06kcvPSaFvQhAGSaBP9zEoiopOFDDoRT74cXezawUNbrjN+0oZ1jP0jO87qHH6oYl2jUZcbpmcolomDYw55WOpqA2rRvZwRGvH1ASSQhNQPU48e1eiyjL63uPapf+aKAokRNrYnFHKjLHd2/z4Gq1DllUCXAXIO1dREzuKd3/Lp6hSpUfUAM7T27hpoonKL/7P577u4hwcxjA++2Yv63YeLmLYt3swD1w7mGc/WM+2zAp+iY5h0gX3o677FJctlpwi3601nG6ZOpfMzEnJfPzzHvJKajHqJcYOiOahG4bw2S97EUozkQ8KI0NUMt4xt/HPeVs5b0Q8t8/ox0OvrSAtKQh16/f47VzMTT3HIeLk6knxPP9Z88SDAH8jNj9DozCKCfPj3KENZQEkIDnIS9H8fzXWOQKo35eOX9+xBE27m2xiePOdDeQWN3gB+nQP4g8zUvE3So0uL9mrNH5ZGHUif5yZRp3Ti9srY7MaMOoEVFnF61XRw8FoVhWXW27sL+eLlVvzGdIjtMVxDY3O4oTF0dKlS8nMzGx8rSgKgiCwZMkS9u7d22Rue1TI1mh/MvKrUBSVmNBTXzlSynNRKgvQ9xzXBpadOLqoXgiIeDPXotQUY+h/PqLJ//g7tpLEKBvfrNpPRY2LQP+2K0+g0XqMooeazK1sMQ3mjXcPi4eM3Cp+Si/kf3/uj6c83+e++kHTeevbpsIIYFtmGYqqcsn4JD74YRef/Z7L7zss/OfaP+GWj/33djg9vPHlVuoONop1eWR+XptDdkE1f5w1AKveS2BMPBVOgW15bt57byd1Dg8vf7aZqcPjePFPYygqKIYNX6A4anFt/BaApFHXcPPURD5cfKBxJSYx2s69swbw05r9DOwRxriB0fSKC0IHqIBRUqle+UUTYXSI2m3LCBswlf+80XRlZ3tmOX9/fQWz7xmL3od3WlFUJMBmkoAGD4LaQrq/IAj4mfWUV/suO+BvNiAKQkshTxoancYJi6NXX33V5/aj0/nbq32IRvuzJ6cSk0EixH7qWWWezHUIZhtCQGQbWNY6pKgeCGYbnozVOBe/hT5+EFJcGqIloM3OkRBpQxBgc0Yp49O0wqidiah4UOOHEFnm4L83JoEoklWu8OHSfIrK6ymqdCNJOp8tNLwxg1j7w04fR23e9iLUZsBVsA+9wY8AfyOVNa5m+4gC2PyMdI+yk5lXSZ3z8Dn3HqiksKyOuSuymHVuCv9dsIn8I2KbADLzqzFlLaW70YzTbGsy5lnxAUMSBzPoqvNx6GwYbYGYDDp0gsCsiYkoCgg0ZJkdCvrWqQ7qtv3e4rWr3bGSHnE92HRUwHVNvYd1OwsZmxp5Si4vo07gwjHdefXzzT7Hzx8Zjyy33ENOQ6OzOCFxpLUMOTvYlVNBdIi1WXxZa1HqK1GK9qJLGHzKxzpZxMBIDGkXIOftwJOdjidjNaI9HCk0ATE4DjEoBkE6+aBzs1FHdIgfm/dp4qizEXQSpto8gpfNRa6rBCA5JIbHL72N534o5oeN5czqM5baLb8129fh5Zi1dxwuL0F2E+cPjmBMnIrrm6fRhSVw+/TbeXr+pmbzL52YTHG5g9gIf84bGU95tZP/fbsDz0GBsWt/BdV1bv7z3jrumZnGk++ubbK/3c+At/QAdZkbCJpwLY6spqLClbEeMtYTNesf1BhCcbhl9DoRkyCiyM1FjEBDYkRLKLIXsYV7dOOeEsaktlwX6kTwehUGJIcwsEcYG3Y3XZ27eFwiIXZTY2yThkZX4oTEkdYy5MzH41XYm1vFyL4Rp3wsb1Y6SAbE0PhTN+wUEHQGdHFpSDF9USryUMrz8OzfBPtWg6RHCk9CnzAYMfDkPt+J0TZWbivE5ZEx6qXj76DR5giCANUllC98rsl2T2kuwtf/4d6Ln+Avc3dw018vxl2Ygbt4/+FJooRfYFBjzy9fRIZYuf/qQUQFmXCVF2JMHIQcEEN1vZeHrh/CouWZZOdXExZk4aKxiZRWOnj+ow0AfLsii9SkEP44awCz56cDYLMaqHd5qa5zk1tcS3ykjeyC6sbzFZTWIfTvibzlN7w1ZfgPOJeajU0rwPsNPp98NZhHXlhKvdOL0SBx3oh4po1KQDwqQcYjmLD0GEb9zpW+r1/3YexeecDnWHiQBVGAU13XEVWVOy7pR2mVk1VbCzDqRUamRuFv1iNqwkiji3JC4mjhwoWtOqjmVjv9yMitxONViD2q0WZrUb0uvAc2I4Unt3u9oRNFkHRIIXFIIXGoqopaX4VSkY9SkoUzfydiRAqGflMQja2LtUqKtrN0Uz47sytISw5pJ+s1joVR8FD5+8c+x1SPE/2B9Yzom0hFbha2IRcgSHrcJTlI9jCMcX1xSmaG9o5gzfbCZvv3TghCFAQ+/3UvG/eWYDbqOH/4eYzrE8Prs5cQ4G9k0uBuTBjUjbhIG8/NT29SAgBgy75S+iWG0CM2kIy8KmLC/KiqdTFzbDdGxEuMjI0hr9LLJyuK2Z1TSW5xLcaYITgsNiqWfIh92IVEzPo7zrw9oKqYewxnW5HKE28crqPkcsssXJpBebWTG87rBUcIJJcsEjDmCpyZm1BcTTPdzClDUKwh1Dl9F7icPCwOj6dtXF6SqhJhN3L5+IaehB6PfOwlOw2NTkZQT2BNs2fPpgX8DrlKjtz1SPfJzp2+ffinC7KsUF5ed/yJZwg6ncgvG/L4+Ofd3HtJ6ikVNvRkrsOzczGGgRciGCxtaGXbo6oqSlkO3uwNCKKEcejliPYTXzlTVZW53+6kb/eghi8lH+h0IoGBVioq6k7bdOXQ0OMHtHfWPWMRHJS8/zeU+mqf4+akgXiG3YDww9Ooog5x0j2syXKwaV8l5dVOpo/tTv/kUN76civrdhY17tc3MZg7LknloddWNGmhEWQzMfOclCaFDof3jcRq1vHrOt8rMBHBDcUY/cwG1u8qYtbwYHTrP8KduRFQkfwC0Y24kt/yA6j2SvRPDmVQNwM1a76ibsuvqIqMKbY3+v7nU2rtzt9fX9WsnxyAIMAr903ALDW9f0VRwKpWU7PhRxz70hFNFmxDpqGL7kWNYmbBkn18v+rwipokCtx5WX/SEoO1Pmit5ND9rnH60+qYo507d3L//fdz5513ct555xEWFkZFRQW//fYbL7/8Mv/3f75TZjW6Nlv2lRIT6ndKwkhVFbxZ6xCDY7u8MIIGQS+FxCHawvDsXo5z1YeYRlx1wgJJEASSou1s3FvKdVO0atmdgSpI6OyhuFsQR7rAKKSsZdTVlCFe/C/++s4O6o8Ikn7ls80M7hXGH2b04/oLelPv9GA26bCadNSWFfOfWd1AFMmphPeX5FNb78agb1oewmyUqK33tGhjbb2Hvt1D+N+3O7h4aDDiT7NxVx4WYnJtBfLPr3HxJQ+gD4+hsrSMggp/CsImEXDZdAIsEuVllby/JI8Lx7h8CiNoWIipqHFhDmiaUKEoKjX4YxhyGeaB00AQcQsmXLKCiMpl45M4f2QCew9UYjLq6B5lwyAew9eooXEW0OqYo3vuuYc777yTW2+9tXFbeHg4V155JW63m2effZZx4zo2fVvj1PDKCjuzyhnZN/yUjtORRR/bEsFgRt97Ap6di3Gt+RTjmBsQj8oUaomkGDtrdxWTmV9NUoxWELKjcWHEPuoySj5/uvmgIGLt3p/Cz57CmDqFD5YXNRFGh1i/s5iicQ6iAs1YdAaMohc1Nx3h57nIjobaP3GBETx28R944acy/MwGjAapsWVJRm4V5w6L9emaA0hNDuWHVdlkF1QTioDnkDASRCSLP4rLgep1U7nsQ4wXPsjri8vZsOdweZRAfyN/vnIgdqsR03Fi26ympo90URJxeBRcHhmTImHSWw4Gbh8WWIKqYtWLDO0Zit1uOa1XOTU02opWB4VkZGTQu3dvn2Pdu3cnNzf3lI3S6Fgy86txeWRiw0++HpCKijdjNaI9osOKPrYlgqRD32Msnq0/4k7/EuOoaxCE4wdZRwVbsZp0bNhboomjTkBRVISQROyjZ1K14vOGbrSAoDcRcsGdVG9dAoqMEjuA1UvzWjzO75vzuObcFLxeBakmn6KvX2oy7q0oRF70f9x18RO8+XMGf7tmEE++tw5ZUckpqiEs0OKzgrVeJzJzUjI6SWBkahSmvF/w6gzoR12NM7gn+ZUuAqx67EoFuuI9fLaikA17mjY1rqhxMXt+Og/fOBRJFEiJDWRPTkWz9xAZbMVq0sPBprWKKPDF0gx+XL0fj1fBoBM5b2Q8F45OQPTRz0zrcaahcZhWi6P4+HgWLVrEqFGjmo198sknpKQ073it0bXZkV2OySAREWQ56ZV0pXQ/SlUR+p7j29S2jkTQGxt7tHn3rkKfMvq4+4iiQGK0nQ27S7h8fGKnlS44m3EoBox9pxDdZzSusgLqPCKSLZTPN5QyIvlCrAmjEQOi0En5eFuILzbqJVQVdJJCRVU9+tHXwa7f8JQe/rGnelzoD6SjqFF0j7Hz8h9HsHprHvkVXuT6ah6/aTCfL97L0s1FeLwKackh3DitD4F+BrweGWu4H+7yYAzT/87riyvYnLG98dhBNhP/unUav7603Kd91XVuCkrr+PTXPdxxSSqvfr6ZwrL6Jvv/5aqB6KWGStWIAh/8uJsl6Yftd3sVvlqWSZ3Ty1XnJDf0O9HQ0PBJq8XRXXfdxR//+Eeys7OZMGECgYGBlJaW8tNPP7Fv3z7efvvt9rBTox3ZnlVOQpQdURSQW6h0ezw8+1YjWAIRAk69FEBnIvoHI0X3wrN3JVJUT0S/42ehJcfY2ZJRRn5pHdGhp5btp3FyuBQJ1RBItirwfx9t4s9XRfLF7zl8v1ZHXIQ/fbqXMjotml/W5vjc/5zB3ais9/D5b3vZmlGO3c/GjGG3kWIqwfXTq40rUrqyTC4eMwJZhvKKasaadqHqsvBsKsC9pJjLeo3hsjsupF6w4u9nRKeC1yMjSSKb95WRHJPK58ty2JzRdOWnvNpJfpmzsR6SL8qqnAgIvPDRRm66sA9+Fj37DlQSGmhBFOH5j9J55MZhmCQBp0dh6Qbfq/i/rcvhkvGJmLQYOQ2NFmm1OJo8eTKvvvoqr776Ki+++CKqqiKKIgMGDOC9995j8ODB7WGnRjvh8shk5FUxdXj8SR9DqSpAKc1GlzzqjFg5kaL7oJTm4N76M8YRVyBw7PcUF+6PQS+yYU+JJo46EUVRCQrwo87pYX9BDX+/YQiyopKdX43d38j4QcE4nB5WbClost/lk5JxexUefG1Fozgpr3by/JfVjO8fxsyRV+JZMR8AKbgbZTVe8jflsnN/OakxvRjQLxXyt6ETdchRffklvYgt++v4y1UDkQ5mjkmSyLqdhQT4x7J0cxG+cHq8+Jn11Dp8B3dHhlgpr3bicHmZPT+dR24axtKNeVTWOKk5GBC+M7ucwSkh1Na6W1wFVtSGIHGTn6HV11hD42zhpArRTJw4kYkTJ+JyuaiqqiIgIACDQbvRTkf25VbhlVW6R598vIx7z0oEkw0xuFsbWtZ5CKKELn4Anl3LUIoykMKTjjlfJ4l0j7SxfncJF45K6CArNXwR4G9iSK9w4qNsfPLzbvbkVDaOGfUSD984lJGpUfyyNgerWc/5I+IJDbQwe366z1WbJZuLmT6kHzpJj6oquOOG8/YbW7FZjfzpygE89vZqDDqRuMhwFEUl67tdKIrKTRf2Ibeklh5RNhRFRVVVwgItON0y3hZWZ39bd4BLJyTxv++al0KJjfCnzuFp0gOt1uGhuKK+MTAcDnvKjIZjx8uZDF2jBpmGRlflpFuWL1u2jJdffplXXnmF1157jd9/b7l/j0bXZXt2OX5mPeFBJ5d6r1QXoRTtRYrufUasGh1CCIhCtIXj2bUE9QTaYqZ0C+BAcS0llY4OsE6jJfytBu68LJVVWwqaCCNoWCX99ztrCLKZuHdmf269sDeRgSY8XpndPgKcD7F1fx3G6GRsFz1AqdfC3TPTcHtlwgItjBsYg9ursPdAJRl5DY2b01JCsVkNGEQwim4EQcDjkZk8LJaoED8sJt/CZOOeEob2DuPac7tjNjbMEQQY1DOMmy7sw7zvDjfVFYSGattHCiOAXvFByLKK1agjIcp3xmVSTAAWo1bRXUPjWLT654Pb7ebOO+9k+fLlSJJEYGAgFRUVvPnmmwwfPpw333xTW0U6jdieVU58hP9JCxv37uUIJn/EkLg2tqxzEQQBKTYVz7afkfN2oYv2naF5iIRIGzpJIH13CVOHxXaQlRq+8HgUlm70HW/j9ioUldcTHWRuTFcXBOGYLUQMFiu1w25mzg/72bl/HQlRNv561SDqnR4G9QxlZL9INuwuRj4ojKpqXMz9ejtPXxFN1VcfE3zBXdSIASxLz2FsLxuXjo3n/Z/2NTtPQpQNnU7H+cO7MXZgLDVOGQQBvexCdJTyn6sS2Fsi8+HSPHrGBzVrFnvJ+ETMehFUFQl44JrBPDF3DQVlh4tzRof68derBiJxKKdNQ0PDF60WRy+//DLp6ek888wzXHDBBUiShNfr5ZtvvuHxxx/n9ddf549//GN72KrRxlTXuzlQXEv/kScnbJTK/IYGs0nDEcSTXoTssoj+IYgBUXj3rkSK7olwjIVWo14iPsJG+u5iTRx1Ml5ZOWZgc2Wtq8lro05gUM8w1u8s9jk/ItTG/W+tbnRZZeVXk767mEvHJ+JvMTB7fjr+FgOiKPDmF1twexUevaon6po5uAr2UrzgGeqn/JNRCXrcn/2dUaOuxTshli9X5OF0ywgCDOkVzi0X9cUgqLgVHfuLa9ifU8jEoAJqfv8Qr7thRbJnaCzPX383Hr8IFizeR7dwfwL9jFwyIYmYUGtjRWtVVTHrBB6/dTgVNU6KyusJD7IS5G9EL2pp+xoax6PV4uibb77h7rvvZvr06YcPotNx8cUXU1ZWxkcffaSJo9OEHdnlAMRHtL6+kYqKe+cSBIsdMSS+jS3rOkjRvfFs/wW5cB+6iGOXqUjpZue71TmUVzsJspmOOVej/TDoRJ81hw7RIzYQWW5aBPHGaX3Ye6CSqlp3k7kzJ6Wwckt+s6z3JekHuHhMdwwCPHD1IEoq69mdkc/4XnF0DxJg9Tt4ChoKOerD4igqriAp+3M8jlpcv7zOuJThjL56Mk6MGCQVW1AQkl7C7fYiC/DLuhxuSHVT/cPcJuf1lORQ9fkTRFz/DDMnJDFjbHcksUG2Hy14FEVFB4T6Gwm3mw6OqyhafUcNjePSanFUXl7eYhHI3r17U1TkOxNDo+uxPauc0AAz/pbWu0GV4kyUshz0PceeUbFGRyPaQhH9w/DuW40UkXzMzLWkaDuSKJC+p4RzB58ZwemnI2aDxA0X9Obp99c3G0uMthNiNzXpC6mq4GcQeeauMazbWUj6rmIC/E1MGR6HKMKmPSUE2UyUVzsb93G4vKioqCpIQFKgl8C8+SiOGjxVTd1d6AzEB0u4fk1v3OTasxr2rEZHQ61qZfRMDIMuarRnRJIVZd18n+9PcdTiztuJEDMECUA5flSctlKkodE6Wu0LiY2NJT093efYunXriIyMPGWjNNofVVXZlll+cqtGqox7x2+ItnCEgKh2sK5rIUX3anAhlh+7+rvJoCM+wp91u3y7ZzQ6BllWSI6x87drBxMaaAYaMgrPGRLLg9cNRucj2kaWVfSCytj+kdx6cV+C7SYen7OaB15eTvrOYu6+vD9JMQGN8/slhqA74keBioS3sgjv0cII8Obtxt+iP6bNAg2xUof+3S3EjKes5Yrerrw9jWUCNDQ02p5WrxxdccUVPPXUU5hMJi644AJCQkIoLS3lm2++4e233+buu+9uDzs12pi80jqq6twnJY682RtRa8vRpU45o1eNDiEERCJY7Hgy1iIFHXtFqEe3AL5bk0NFjYtAf2MHWahxNKKq0icugCdvH4Hbq6CTREx6EaPiRPLWoXpcCEYrHsmKSz78G7HGKfPnF5biPiJmaXdOBc9+kM5D1w/hsbdXIQgCN1zQG5HDQc1uqaHTfeXvnzSzxVtXic5sxdh9AK4M3z8szcmDqTtYvtsgCfj7m3DZQpCrS33O14fEnnTBVg0NjePTanF05ZVXsmPHDmbPns1zzz3XuF1VVWbMmMFtt93WpgZqtA/bMsvRSSLdwlpXtFBx1eHZ/TtiWPfTsofaySAIAlJECt7M9Sj1FYiWlt93UowdaZ3Aul3FTB6iudY6E69XQQfodCKCIGCVqyn79hVcubsaJogS/gPOxTp0BnWyEVES+Wbp3ibC6BAOl5c12wuZMSGRUf2iCbTqUY9wVYkomHuPwhTTA8VVT92uVdTtWIlktRN62YO4BT1BE6+lKHcniqtpLJQ1dSKKMaCxF6wsK+j9AtENu4Tqn99qZougM2BK6E/NEXFTkiTiOvjaKIlNYqo0NDRaT6vFkSiKPPnkk9x4442sW7eOqqoq7HY7Q4cOJTExsT1s1GgHtmaWERvmh05qnWfVs+NXQEAX2799DOuiiKHxkLMFb9YGDH0mtTjPZNCREOnPmh2FmjjqQpgFByWf/V9TV5UiU5P+A6LehGHgxTi8Ctsyy1s8xp6cCv527SAklSbCyE9yUrPic0q3LgHFi6Az4D9oCjG3v4QXHQ7BiuJRkaUAIm54htrNv+DI2IBk9sN/6HTE0ATq5aZxf4pHxpI8GLWqkJp13zS2LxEtNkIveQCHaAW5obefU1b5ZklGY/mCcQNiuHB0d4ySFmukoXGynHSZ1LCwMKKjo7HZbAQGBhIeHt6Wdmm0Iy63zJ7cSsb1b128kFySiZy3A13icAT92eUyEkQdUlgi3gOb0fcYjaBr+f33jA3km1X7Kal0EBli7UArNVpCqC9vMYanOv17Ivqfg1v0J8jfyIGiGp/zgm0mdIKAckS6l0nyUPXrO9TvWdu4TfW6qdv+O3K3wTj8YnB53FjNekySSI3ih37gDALSzgNBwq3qUVpwj9V7DRgHTsdvwLnIVSWIBhOCJQCHYEE+WPvRpcDfX1/ZJFj8mxVZrNxawP/dOYpjRzppaGi0xEmJo7feeovXXnsNl8vVmPVhMBi4/fbbueuuu9rUQI22Z+f+CmRZpXsLFXR9ocpu3Ft+QLSHN6yinIWIEcnIBbvw5m5HHz+wxXlJ0Xb0OpG1O4u4aEz3DrRQwxeiKOCpKGxxXPW4UD0uRIM/MyYksXmf7zifi8Yloh6VB6/z1jcRRgA6eyjqlPt58uscsvIzGrZJIheP687UYXF4vCoeDonrY6/suBQdLvzBdjA28IjTSzqRJem5TYTRIcqrnazYks+kgdHIx6j5pKGh4ZtWZ6stWLCA559/nmnTpvG///2P7777jv/9739MmzaNV155hS+//LI97NRoQ7ZmlhHobyTI/8Rr8Xh2LkV11SN1H3JWBGH7QjRaEAOj8Wanox7jS82gl0iKtrNyW2GTlHGNzkFVVXT20BbHBUmPoDeiKCoxIVYum5jcdFyAa6b2JNRuaog/OyJLTK5t3nZEHHcb//xwH1n51Y3bvLLC57/tY+W2QnS6timY6pEVVmwtaHF8xeZ8PFrskYbGSdHqlaP33nuPK6+8kkcffbRxW/fu3Rk2bBgmk4l58+YxY8aMNjVSo+1QVZXNGaUktCJLTS7LwZudji5uIKKp9dltZxJSZAqe7b+ilO5HOkbxy97xgSxYmklOUS1BQa0LetdoW1QVBL8QdPZQn6n2fv0n4jkUw6OqnDcslgkDY9iZXY4gQq+4IKwGMCs1eItzkB21mCO7Ixv8kUxN3aaSNYB8p9nnag7A57/tZVjvcIySgEdtCPSWFRWrSY9RolUZaKIgYtS33CPNaJAQBbExXklDQ+PEabU42r9/Pw8++KDPsUmTJrFgwYJTNkqj/cgrraO82sWkgTEnNF+V3bg3f4voH4oYeewK0WcDgn8ogiUAT1b6McVRQoQNq0nH8q0FpPWK6DgDNXziwELYzH9Q8et7WHsOQ7LYURUvksWOYA+nxnN4NUg42HpjSI8QAERkdKX7KPxyNqr3cAVtc/JQgs69AX1wDJ6yhmBoyT+InBLfwgigus6NV1GpcXh48eON5BbXAhBsN3HXZf2JD/NrucnbUUiCyiUTkpCVvZRVOSitbHreaaMTkAQVuYX9NTQ0WqbV67vh4eHk5+f7HMvNzcXPr/1+JWdlZTFgwAC++OKLxm07d+7kmmuuIS0tjYkTJzJv3rx2O/+ZwJaMMvS6E0/h9+xYguqsQ0oadta6046kIa0/GaV4H4qjusV5oijQKy6QlVsL8GqujU5HUVQc+gACx15B5YoFFH3+NMVfPEfBR09Qt/lXzKK72T6yrCLLKka5juIFTzcRRgCOvWup276csJl/RxfQkJAi11YQHdxysL7VrEcUBR5+Y2WjMAIoq3Lyr3fWUFHv5kRuM0kSMat19BJz+GvvPJ6YaubpG3oTHdpwXw/tHU5yTIBWC0lD4yRp9crRxIkTeemll+jRowepqamN2zdv3szLL7/MxIkT29TAQ3g8Hu677z7q6w/XCKmoqODGG29k4sSJPP7442zatInHH38cq9XKpZde2i52nO5s2ldKXLj/CaXwyyXZePdvQJcw+Kx3px2JGBIP+zch79+A2HN8i/P6JgSzfncJ63cW0SP6xIPfNdoHk1xDwYePoR5s4gqA7KVq+acEB4Sjix2C96jgZZ1OxLlnAyi+11+q1y7C1GsMIVc8hlpXjlxdijE0Apt1P9V1zQXXxeMS2Z1dgcvd/HiqCp/8vIc/XNzvmK4wURQwu0sp+ugxlPrDAt1isfHvKx6mWAkgyGZC0uLdNDROmlavHN1zzz0EBgYya9YszjnnHK644orG/wcEBPDXv/61Pezk5ZdfbrYq9emnn6LX63niiSdITEzk0ksv5YYbbuCtt5oXTtOA6no3GXlVJEXbjztX9boa3Gn2cMTwpA6w7vRBkHSIYQl49m9ClT0tzgsLNBMZbOGn1fs70DoNX0iSiPvAjqbC6Aiqfv8Eg9K8Ua0gCHirWm4HozhqEFCoU8zUm6PxRKZh0Bv41+0jCA+yNM4TBZg6PI6Jg2JYvOFAi8fLyKvCe5zOsCYclH75bBNhBKDUV+P4/kXi7KomjDQ0TpFWrxz5+fnx+eefs2DBgsYikP369eOmm27ikksuwWRq+27k69at45NPPmHhwoWMHz++cfv69esZOnQoOt3htzF8+HDefPNNSktLCQkJaXNbTme2ZpSBCoknkMLv3v4rqseJrtcEzZ3mAyk8BaVgD3L+TnTdUluc1z8phB/X5lBWlYzd2voGvxptgygKuIsyWxz3VhUj+mjfKssKpti+1Kz71ud+hrA45CMeo4eKLtpNOv592whqnR6cbhm7nwGTTkQnQFSIH5v3+i4XEBZoQRKEY8Ydie5aPOW+s9Q85QWI7lrQtf1zWEPjbOKk6hwZjUauuuoqrrrqqra2pxnV1dU88MAD/OMf/2jW1LawsJCUlKZBwmFhYQAUFBSckjhqq3TbrsSmfaVEhlix+TX9khYPutga/q/gLc5EPrAFfeJQdBbNneYL0WpHDozCm5WOIb4/LcnHvonBLN6Yx9JN+Vwy7syuedTZ94x08HMs+XAZCwIYIlqu4K8LCAdB8vkedGHxLWa6BU68Dq/Ogs5HJWqjCEa/5oJ46og4flid7VP/zJyUjEEnHrMEhOps7q5rMu71oDO1/m9xrOuncWJo1+7M4YTE0UMPPXTCBxQEgf/85z8nbdDRPPbYYwwYMIALL7yw2ZjT6cRgaPrwMRobgiFdLtdJn1MUBQIDz6zKxk63l62ZZUwY1A1/f7PPOVaLEcXjpHjz9+iDo/BP6K2tGh0DfXxfqjf+hNFRiDEsocV5A1LCWLwhl+um9Uavazn1+nSmK90zNpvvz7cnvi/lRguqq7n7LHDsFZiDQjh6z9JKB88syOSGKfdjXP8xrsyNgIpkCyF48k2YolOQTJZmxzsWZouXB64ZzIsfb8TlaYg9EkWBq6f0JCUuEJv12NXnPUIAiJLvOChRh97PjuUU/hYtXT8NjbOJExJHa9asOeEDtuWX6cKFC1m/fj2LFi3yOW4ymXC7m/6KOiSKLJbWPbCORFFUqqubP0BPZ9J3F+P2KMSFWampaRp3IUoiVouRunoX9enfo7gcGHpPwOFoOZ5GA1RzCKLFTtXWFZiH+k7XFyWR4X0jWL2tgO+XZzKmlS1bugInInq6wj0jSSI2m5nqaofPxquiaCXiqsco+fI5vJVFQEMBSPvoy5Bi+lBRUddkviAIfP7rPtbvLGJHVhnThp7HsIsvR1C8FDsEzKGxeBwqOOqanet49IkP4L9/HU9hWR1eWSE61A+TXkR2e6lwe4+5r140YxtyAdVrvm42Zhs6DZdoprai9TYd7/ppHJ9D11Dj9OeExNFvv/3W3nb4ZMGCBZSVlTWJMwJ49NFH+e6774iIiKC4uGmw5KHXp9rr7eisldOdNduLCLGbCLAafaT3NrxXd1EWnv0b0SUMRtVbmrVK0GiOGJGCN3M9nppyREugjxkKYYEWkqLtfLtqP8N7h5+xq3Fd5Z6RZcWnLYIAqiWC4CseQ3DVguxBMNtwi1bqvAIcFXPkVuGXdTkA1Du9fLrsAJ8uOzz+x1kWBiYFn3S6vB6IDWn4EaeqoHgVH1FPzfEiYBk4Dck/mOpVXyDXVSFZ7dhGXIIheQT17ubvpTW0dP00NM4mTrrx7CHKy8vJzc2lW7duBAb6+nI4eWbPno3T2bSw2eTJk7n33nuZPn06X331FR9//DGyLCNJDe6K1atXk5CQQHBwcJvacjrj8cps2lfKoJSWWygoXjeujd8h+odp2WmtQAyNh5yteDPWYeg3ucV5w3qHMf/nvWzOKCMtSUsU6EhEUcCtNLjIyqqcRIVasVvCkFAb4n5aqJKoKGqj28sXZVXOg0L35DPDjpdUJkgiblkBBPRiQ4FKVYV62YAuZTyhiUMQVC+qoMMlWan3allqGhptwQmLo4yMDL744gsEQeCyyy4jPj6el156ibfffrtRnFx22WU88sgjjULlVGlp9Sc4OJjw8HAuvfRS5syZw8MPP8wtt9zCli1beO+993j88cfb5PxnCtuyynG6ZXrEBrQ4p2bzbyjOGvSp552xKxvtgSDqkCKS8B7Ygq7HaESDb3dubLg/MaF+fL08i/6Jwdo17iBEUaDa6eWxOWuatPRIjg3ggasHIR1D2OgkgagQK/mlvl1UvROC2s39JEkCdR6VD7/fwaqtBajA8D4RXD21J1a9iKKoeL0qXg5+3lRAE0YaGm3GCYXWr1u3jhkzZjB//nw+++wzZsyYwVtvvcUbb7zBjBkzeOyxx5g+fToff/wxc+fObW+bGwkODmbOnDlkZWUxY8YMXnnlFR544AGtt9tRrN5eRGiAmRC7b1+4XFFA3a5V6Lv1QzRr2WmtRYpoyJiUs9KPOW9U3wiyC2vY1EIat0bb41bg8blrmvU625tTyTvf7ACx5UegURK56cI+PscSomyEBphPqNOHIDSItNbg9MKDry5n+eZ8ZEVFUVRWbi3ggVeW49SqXmtotDsntHL0yiuvMHToUF5++WXMZjOzZ8/mhRde4Prrr2/sszZr1ixsNhuLFi3itttuazeDd+/e3eR1amoqn3zySbud73TH4fKyaV8pI/v4DhhWFS+ujd+g8wtGiu51om2dNI5A0BsRw7vjyUpHlzgUQec72yguwp+4CH8+X5pBalIw0jG+mDXahvJqJ2VVvnudrdlWwLVTe2KSfAsXWVZIiPDj4RuG8M6iHRSU1aGTRMYPimHWpGR0qMd0qAmigFtWKSyrp87hITbCH7NeQjjOTabTify67oDPCtt1Dg+/rM3hwlHxyFpckIZGu3FC4mjHjh089dRTmM0NKw833HADc+bMYezYsU3mTZo0iY8//rjtrdQ4adJ3l+D1KvSK8x0P5t27CqW2HP9hF+IWRFStg/dJoYvshbtwH97sDeiTRrQ4b1z/KN7/cTdLNuYzadCJNf/VODkEQaCipuWSHooKLo+MSfL9GNTrJQQBesUG8sStw3F7FSRJwKgTUWXluMIot6ye/7y3DofrcPbZ+IExXDO1J+Ixkh3cssraHUUtjq/dWcQFg4OxuMoRrYG4RCseWXPTami0JSf007WmpoagoKDG1wEBAQDYbE0rLRsMhlOqL6TR9vy+JZ+4CH9sPqozK1VFePatQhfTG51/kI+9NU4UwWhBDOuOJ2MNqrfleyAiyEK/xGC+WJZBVa12r7QnqqoSGdJyGQKTQcJs9CGMRAGHrLJo1X5e+3Iby7YUIKsqVoOIQQD1BOKMnF6Vx+esaSKMAJZsyGXFlnykYxTMlATwM+tbHPcz63FuXUzRB49QOPcvkLECk6iV3dDQaEtOeF3/yCDrQ8GkWlBp16agrI69uVX0TWgufFTFi3vTIgSzHV23vp1g3ZmHFN0HvG68x4k9Gtc/CgGBD37e00GWnb34mXT0S/SduXrx+CTM+qaPQEEUyCqs4Z7nlvDpL3tYubWAtxZu5a///Z0qh/eEYockSWTzvhK8LYioL5dk4DpG8LQATB/TcjX16YODUXY31BRQvW7Kf5qDWJ3X6rgmDQ2NljmloAdNHHVtFm/Mw2LUkdItoNmYd/dylNpydEnDEYQzs2pzRyMaLYjhSQ2rRy00OAUwG3VMGhRD+u4S1hzDfaJx6oiqyr0z0xg3MLpRPJiNOq6a0oNzBsU0i9txyyrPfpDe2CPtEHUODy99uumEEsJEUSC/pOUijJW1rmO2B1EUlW5hfkweGttsbOqQSPpGCARPvomwS/5K+GUPYO01kqrln2EQjt1WREND48Q54VT+xx57DD8/P4DGG/uRRx7Baj28bF1bW9vG5mmcLE63lxVbCkhNDEF3VL8fuWw/now1SLGpiNaAzjHwDEUX0wd3SRaevSsx9JnU4rxecYHsza1k3o+76H4w80mjfZBUlRum9uKKc3o0xBgZJMw6sVkaviBAUbkDp9t3baPMvCocbhmr/ti/KWVZoVd8EF//7rvRbUyYH+Jx6iOJqsrMSclMHRHPqq0FgMqoHjaiLG7Kf5qLK68hMUXQGbANmoI5IRVR8dJQWlJDQ+NUOaGVoyFDhmC1WlFVtVEYDRkyBIvF0rhNVVWsViuDBw9uV4M1Toxlm/JxeRQGJDctOKi463BvWIRoD0OK6tVJ1p25CHoTUlQvvNnpKLXlx5w7ZUgsRr3Ea19uxeNtudigxqmjKgpGEWxGCYNAi/WJXC0Io0O05Co7EkVRSYy2E2Qz+Ry//oLeGFrIkDsSUVUJMOuYPiqeS8Z2J8pQQ8mXzzUKI2hwq1WtWYRcVwV63+fT0NBoPSe0cvT++++3tx0abYjHK/PD2hx6xwc2CcRWVQV3+iJUxYs+abjmFm0npKgeKMUZuHf8im7EzBbnGQ0S00cl8OEve5j3w25uuqCX9jfpRFQVokOtDW1GfCzqBPobsZr0nEhFbIMI/759BK8u2Mz2zAaRbPczcOO0PiRE+LeqeKTHI+P1gsXraewJdzRVa78hrOcY4OR7SmpoaBzmlNuHaHQ9Fm/Mp7rOzbBxTSuMe3YuRinPQd9rPEILlZw1Th1B1KGLH4hn9+9483dDj7QW50YEWZgyJJZvV+8nOtSPqcOax5lodBxGvchFYxNZuDSj2dhtF/fDKAkn1EtNUVTMOpG/zBqA0yPjkVXMRh0mnXBS9YlEUcRVcqDl8zlqEGQ3iNp9raHRFmji6Ayj1uFh0Yos+iQEE3zEsr5n/0a8mevQxQ9EtJ9aU16N4yMERiMGxuDa8iNyfAoNOUi+6ZMQRFm1k88W7yPEbmJwz7COM1SjCYKiMm1kPEnRdj75dS8lFfV0j7JzzXm9CA8wtWrFR1VVBMCsEzHrAFTkk2zxoSgqxsDIlu02mEDSn0qbNw0NjSPQxNEZxmeL9+GVVcamHn6Qegt24dn2E2JECuLBVhca7YsgCOgSBuHe8j1V675F33/aMeePSY2kqs7FW4u2Y7MafGYYanQMoqrSLyGIHjcOAQREUUBWVGRVxSg1D+TuCFRVRRccg2ixodRXNxu3DToPl2htsYmuhoZG69D6F5xBbNxbwu9bChiXFoX1YBE5b+Fu3Bu+RgyKQxc/UItp6UAEowV99yE4s7fiydl67LmCwHnD4ogKsfLS51vIK9EyPzsTWVbQiQK1Tg8vf7aZPzz9K396cRkLl2chCwKdcRvVYyX8ikfR2UKbbLf2GY0lbSoeTRhpaLQZgnqsghtnKbKsUF7ecp2SrkheaR1PzltPtzA/Lh6dgCAIeHI249n6A2JQLLqkEQgtFIkTRRGLxUB9vRvlGG0NNFqPKIoomWtxFWVhGn0tou3YLk2XW+ajX/fi9sr8/dpBLTYL7khCQ4/fjLgr3DM6nUhgoJWKijq8p9h3TBAEKh0e7n/5d7xHxRglRNr4+w1DkDrh0SmKAmbqwVGN4qpD8g/Gq7PglE89hb8tr9/ZyqFrqHH6o60cnQHkltTy7Ecb8bcYOH94HKDi3vEbni3fI4YloUtuWRhptD/WXsMQzTZcaz9HcdYcc67RIHHZ+EQAZn+8iSofzUc12h9VEJj33c5mwgggq6Ca3OLaTqlIrSgqdYqZOmM4Dlt3agV7mwgjDQ2Npmji6DRGVVV+35LPk/PSMRkkZk5IRO+pwbVyPt6s9ejiBqJLGKS50joZQdJj6DUWVAX3mk9Q3PXHnO9n1nP5+CTqnV6e+3gjtQ6tb1ZH41VUNu8rbXF89fYCdMfoj6ahoXF6o93dpyFeWWHdrmKe+N963v1uF8kxdq6cmIihYDPOpXNR6yvR956IFNVDE0ZdBMFoRddzHIqzFvfKD1EczYNqjyTQ38jMCYmUVbt4/pNN1Du9x5yv0fb4bEp7EJvF6LMWkoaGxpmBJo5OE7yywrbMMt77fid/fnk5ry/chqKoXDExiSmJKuqq9/Fs/xUxJA596nmIRwVtanQ+osWOvs8kVI8D1/L/IZe3XLcGIMRu5vLxiRSW1/PcJxs1gdSBGHUC54+Ia3F8dFoUHi0CWkPjjEULyPZBVwguhQa3WVZBDcu35LNuVzF1Ti+B/kZSYgLonRBAkLcEz54VKGU5iP4hSHEDEf19dyA/FlpAdvvh69qqbgfePStRakvQJQxB32M0gmRo8RiF5fV8ungfYYFm/jIrDZul5bntwdkYkA0gCwJPzVtPRl5Vk+03TuvN6H6RCGfYo1MLyD51tIDsMwdNHPmgsx/0Xllh7c4iflp3gJyiWmwWA73iAukVF0CIvw6lcA/erHUoVUUI1kB0Mf0QAqNO2oWmiaP2o6VrqyoqcsFO5APbEPRGdInD0MX2R2ihP1ZxhYPPluzDatbz55n9CQ/suErIZ6s4EgTwqgL5ZXWs3l6Iv8XAqNRI/Iy6M04YgSaO2gJNHJ05aOLIB531oHd5ZH7fnM/3a3KoqHGREOnPwJRQ4iP8EWqK8eZuw5u7DTxORHsEUmRPhICIU44r0sRR+3G8a6u46pFzt6GUZIEgIoUnI0X1QApNQNAZm8ytqHGxYFkGLrfM7Rf1oW9C61cJT4azVRwdQhQFdDoRVeWMdqVp4ujU0cTRmYMmjnzQ0Q/6WoeHxRty+Xl9LvVOD73iAhnSK4wQoQq5YA/e/F2o9RWgNyGFJCCGd0c029rs/Jo4aj9O9NqqbgdySRZKaU7D31oQEQOjkULiEUNiEQOiEEQJp9vLopXZZBfUMGVYLDPGJKDXSe36Hs52cXS2oF2/U0cTR2cOmjjyQUc86FVVJaeoliWb8li1rRBFVekTZ2dwSD3+tTnIxRmorlrQGRq+JIPjEOwR7VKvSBNH7cfJXFvFWYtaWYBSWYhSUwxeN0h6xKAYpOB4xJBurMsXWbG1kGCbicsnJDEwJaTdMhM1cXR2oF2/U0cTR2cOWm+1DkRRVPYX1bAlo4x1O4vIL6vHzwADg+roK2RgKimAEpDNdsSgGMTAKAT/UARRSyo8mxBNfhCRjBSRjKqqqHUVKFVFqNVFePb8Dru8pOqMxEYn8HtVN179citRwWYmDerGoJ5hHR6wraGhoXGmoa0c+UBVVRSl9ZdFUVScbg+1tQ5qqmspr6ilqLSa/OIasosdZJbJOL0CRtFLnFRKii6PWKkMndWGzh6KPiACXVAkoqnjf3mIonBS71nj+LTptZVlvDWleCoKkSuL8FaVkOvyY5MnjmxvGABxdoUe4QZiI/yICLMTHGwnIMCG1c+CzmBs9QqTJB1fnJ/sPdPWSJ3UGPZMQbt+p86J3C8aXR9NHJ0Eqqpy+xPfUFB9cg8Rs+BG5Ih9tUKNGieL2vgf6lUjKq37LF1mWcMFY5MJOffGtrdNQ0OjQ7j22mtZu3Zt42tBEDCbzSQkJHDxxRdz1VVXodM1OIomTpzI0KFDeeqppzrL3FOmI96DJo40NDQ0NDROY6699lpqa2t59NFHAZBlmaqqKpYtW8Ynn3zCueeey4svvogoiuzYsQM/Pz9iY2M72eqTpyPegxZzpKGhoaGhcZrj5+dHWlpak20TJ06ke/fuPPnkk3zzzTdMnz6d3r17d46BbUhHvAfNOaqhoaGhoXGGcs011xAeHs7HH38MNAimBx98sHE8NzeXBx54gNGjR9OnTx9GjBjBAw88QEVFReMcj8fD7NmzGTt2LKmpqdx8880sXLiQHj16kJubC8CDDz7IDTfcwIIFC5gyZQp9+/bloosuYtmyZU3syc7O5t5772XUqFGkpaVx7bXXkp6e3mTOISGXmprK8OHDue+++ygqKmocP/o9HG/+yaCJIw0NDQ0NjTMUURQZMWIEW7Zswett2p/R4XBw3XXXkZGRwaOPPsrcuXO57rrr+Pbbb3nhhRca5/3zn//kf//7H9dccw2vvvoqISEhPPLII83OtW3bNubOncu9997Lq6++iiRJ3HPPPVRVNbTg2bdvH5dccgm5ubn84x//YPbs2QiCwPXXX98YM5Wens4DDzzA5MmTefvtt3nooYdYvXo1f/3rX32+v9bOP1E0t5qGhoaGhsYZTEhICB6Ph8rKyibbs7OziYiI4Omnn6Zbt24ADB8+nM2bNzeKlZycHL788kv+9re/ceONDYkbY8aMobS0lOXLlzc5Xk1NDV988UVjLJDFYuGaa65h9erVTJkyhVdeeQWDwcC8efPw8/MDYPz48UybNo1nnnmGzz//nPT0dEwmE7fddhsGQ0NZkoCAALZu3Yqqqs2ybVs7/0TRVo40NDQ0NDTOYA7lXR0tFHr16sWHH35IdHQ02dnZLF26lLlz55KZmYnb7QZgzZo1qKrK1KlTm+w7bdq0ZucJCgpqEiQdEREBNKxQAaxdu5YJEyY0CiMAnU7HBRdcwLZt26irq2PIkCE4HA6mTZvGc889x/r16xk9ejR33323T6HT2vkniiaONDQ0NDQ0zmCKioowmUwEBAQ0G3v33XcZMWIEU6ZM4e9//ztr167FbDY3jpeXlwMQHNy0l+PRr4Em+8FhMXaoO0BVVRUhISHN9gsJCUFVVWpraxkwYABvvfUW3bp149133+Xqq69m7NixvP/++z7fW2vnnyiaW01DQ0NDQ+MMxev1smbNGgYOHIgkNe3DuGjRIp566inuv/9+LrnkEoKCggD44x//yNatWwEIDw8HoLS0lKioqMZ9D4mm1mC32yktLW22vaSkBIDAwECgwW03ZswYHA4Hq1evZt68efz73/+mf//+pKamNtu/tfNPBE0c+aAr9InqSERRICjISnl5XZeocnwmcSZc29Olt9qZcK07E+36nTqHrmF79Tk8GT755BNKSkr45z//2WwsPT0dm83GLbfc0ritrq6O9PT0xqKRgwYNQpIkfv75Z66//vrGeT/99FOrbRkyZAiLFy+mtra20bUmyzLffvst/fr1w2Aw8PTTT7N27Vo+//xzzGYzEyZMIDIykosuuoj8/PxmYqe1808UTRxpIIoCgiBoLUTaAe3adhzatT41tOt36hy6hp1BbW0tmzZtAhrcWBUVFSxfvpxPPvmE6dOnM3ny5Gb7pKam8tFHH/HUU08xYcIEiouLmTt3LqWlpdjtdgC6devGpZdeyvPPP4/H46Fnz578/PPPLF68GGjIhjtR7r77bpYtW8Z1113Hbbfdhl6v54MPPuDAgQPMmTMHaAgIf/fdd3nwwQeZPn06Ho+HOXPmEBAQwPDhw5sds7XzTxRNHGloaGhoaJzm7Nixg1mzZgENsT5Wq5WUlBQee+wxLr/8cp/7zJgxg9zcXBYsWMCHH35IeHg448aN46qrruKRRx4hIyODxMREHnnkESwWC++88w61tbWMGDGCO+64g1dffRWLxXLCNiYnJ/Phhx/y/PPP89BDDyEIAqmpqcybN4/BgwcDMG7cOGbPns0777zTGFQ9aNAg5s2b5zNmqrXzTxStfYgPuoKLoCPR6UQCA61UVNTh9WpNJ9uSM+Hani5utTPhWncm2vU7dQ5dwzOJyspKli1bxpgxYxpjgqDBnfXFF1+wZs2aTrSu/dBWjjS6PHq9iIiCrIraQ1tDQ0OjAzGbzTz55JP06tWL66+/HovFwqZNm/jggw+4/fbbO9u8dkMTRxpdFqPoRe+qoHbdz3hrSjF3H4hf9wE4BD9kWVvw1NDQ0GhvjEYj7733Hi+++CIPPvggDoeD2NhY/va3v3H11Vd3tnnthiaONLokBlFGyV5LwQ9vNW5z7NuAaLERcfW/qBXtaA5hDQ0NjfanV69evPnmm51tRoeiFYHU6JIYlXrKf5zTbLtSX03FL+9iFL0+9tLQ0NDQ0Dh1NHGk0eWQJAFX3i5QfccXObI2o5MdHWyVhoaGhsbZguZW0+iCCKge1zHG1Qbh1HXqrGmcJbjcMrsPVJJdUE1ZtRMVCPI30iM2kB6xAYhdqPifhobGyaOJI40uhywrmLv1anHcEBaHIplAS1zT6AA8XpnN+8pYvaOQrRnleGQFs1FHgJ8BQYANNW6+XpFNWICZy8YnMrhnWGebrKGhcYpo4kijSyLr/bH2G0/d1iVNtotWO6EX/QnFU4fFUYhosSHrrDhVgxagrdGm5JXWsWRjHqu2FVLv8hIZbGFUvwgSo+0E+RsbKyGrqkp+WT2rtxfy2sJtjOwbwfVTe6DXScc5g4aGRldFE0caXRKHYsB/9JWY4lOpXv0lcl0V5u5pBI6+jJKv/ourYF/jXFNcX4LOv4sa2XyMI2ponBh5JbV8tiSDLRllWE06+nUPom/3YIJtJp/zBUEgOsTKpeMS2Z5dzo9rcyivdvLHy/tj1GsCSUPjdEQTRxpdljrZiBQzmMBL+yCoMqIoUrJwdhNhBODcv42Kn97Gb/KdOGXtI61xcqiqys/rDvDpkgzsVgMXDI+jZ2wAknTieSt94oOwWQx8vjSD177cyh8v648oanFIGhong6IovPLKK3z22WfU1NQwZMgQ/vnPf9KtW7d2P7eWrabRpZFlBYdipF61gLu+mTA6hCNjAzrv2dPyRaPtWbA0k49/28eglFBuPK8nfRKCWiWMDtEtzI+LRyewLaucBcsy2sFSDY2Oo6beTW5xDbv3l5NbXENNvbvDzv3aa6/x4Ycf8q9//YuPP/4YRVG45ZZbcLvb34ZOF0dlZWXcf//9DB8+nAEDBnDbbbeRkXH4gbJz506uueYa0tLSmDhxIvPmzWuyv6Io/Pe//2XMmDGkpaVx6623cuDAgY5+GxodgOKsPea46tbS+zVOjuVbCvhu9X4mDIhmwoBodCchio4kIdLG2NQovl+dw47s8jayUkOjYympdPDsB+u54+nfuO+/v3PH07/x7AfrKals/2et2+3mnXfe4d5772X8+PH07NmTF154gcLCQn766ad2P3+ni6O77rqL/fv389Zbb/H5559jMpm44YYbcDgcVFRUcOONNxIbG8uCBQu46667mD17NgsWLGjcvzOVpUbHIpqP0QBVEBGMJ94dWkPjEOXVTub/vIe+3YMY0oaZZkN7hREb7se73+3C5Zbb7LgaGh1BTb2blz/dyMbdJU22b9xdwsufbmz3FaRdu3ZRV1fHiBEjGrfZbDZ69+7NunXr2vXc0MniqKqqiujoaP7973+TmppKYmIid955J8XFxezdu5dPP/0UvV7PE088QWJiIpdeeik33HADb73V0FKis5WlRsci662Y4lN9jll7jcAjnVndsDU6hs+XZqCTBCYNjGnT4wqCwJQhsVTVufh29f42PbaGRntTVetqJowOsXF3CVW1x6pFd+oUFhYCEBkZ2WR7WFhY41h70qniyG6389xzz5GSkgJAeXk57733HhERESQlJbF+/XqGDh2KTnc4yHb48OFkZ2dTWlra6cpSo2NxyAaCzrsDc+KgwxsFEWvv0djGXYtL1jKDNFpHYXk9a7YXMbJvZLtklgX6GxnSM4wf1uynvNrZ5sfX0Ggv6hyeUxo/VRyOBtedwWBost1oNOJyta8wgy6UrfbII4/w6aefYjAYeP3117FYLBQWFjYKp0OEhTUsexcUFLSrstTpOt3j2GEcCjo9meDTjsaBFdvUOwn01KK4nYgGM7LeD6eqQ3eKn2YVAbfcUFnSrBdRlFMvnHQ6XdtTpbPvmZO51r+k52Ix6UhLDkaS2ierbETfCDZnlPHNqv3cdEHLxU07m7Pps9penEnXzmrWn9L4qWIyNZTOcLvdjf8GcLlcmM3tX7aly4ij66+/nlmzZjF//nzuuusuPvzwQ5xOp0/VCA0X6FjKsqqq6qRtEUWBwMCzz0Vjs51OdYICmrw6lb+WV1bIL63j/e92smFXESajjvNHxjN1RDzB9ra5JqfXtW09XemeOdFr7XR7WbWtkOF9IwgMaD/b/YFxA2L4ac1+rr2gN2GBXTs27kz/rGqcGHY/IwN6hPp0rQ3oEYrdz9iu5z+06FFcXExsbGzj9uLiYnr06NGu54YuJI6SkpIAePLJJ9m8eTMffPABJpOpWWD1oeU0i8XSbspSUVSqq+tPev/TDUkSsdnMVFc7kOXToyeHIAiIooCiKKdcGbvK6eW+l37H5WkImnV73Xz88x7WbC/k4euHYDiFFYXT8doezYmInq5wz7T2Wq/aVojD5aVHjJ2amvbNvukda2fpBomPf9zFtVPa/8F+MpwJn9XO5tA1PBPwtxi4Z+aAZkHZA3qEcu/MAfhbDMfY+9Tp2bMnfn5+rFmzplEcVVdXs2PHDq655pp2PTd0sjgqLy9n1apVTJkypTGuSBRFkpKSKC4uJiIiguLi4ib7HHodHh6O1+tt3NbWytLrPfseDrKsdPn3LUkCThnySmrIK6klNtyfyGArRgl0goKgysiCHo/3BBWTKDD/h12NwuhIsvKr2V9UQ2KE/ym72E6Ha3uqdJX3d6LXetX2QqJCrNgsBmS5fXvPSKJIWnIISzflcdGoeCym9nVJnApnw2dV48QIDTBz/zWDqap1UefwYDXrsfsZ210YQYNH6JprrmH27NkEBQURHR3Ns88+S0REBJMnT27383eqOCotLeUvf/kLc+bMYcyYMQB4PB527NjBxIkTCQkJ4eOPP0aWZSSpIVhy9erVJCQkEBwcjL+/f6cqS42ORRQFqpwy/3xzFZVHZErcODmeKb1N1K77Bm91Gaa4vvj3G0+9YEM+QtSIooAgCE1+FXsV2LCrqQA/kuWb8+kR0xu329s+b0qjU3B7ZHZklTOiT0SHnXNAUghrdhSxbHMBU4fFHn8HDY0ugL/F0CFiyBf33nsvXq+Xf/zjHzidToYMGcLcuXPR69v/x0WniqOUlBTGjh3Lv//9b/79739jt9t58803qa6u5oYbbsBoNDJnzhwefvhhbrnlFrZs2cJ7773H448/DnS+stToWDwK/Oe9tU2E0eRB4QwzZlI074PGba683VSv/5aIa/5FvSEMCS8mtR5X3l5UVx3m6J7IRjsOxYCKismow+31XbPDz6IHtI62Zxo791fg9iokxdg77JxWs54esQEs2ZjH5KHdEAWtrYiGxrGQJIn777+f+++/v8PP3ekxR88//zzPPfccf/7zn6mpqWHw4MHMnz+fqKgoAObMmcOTTz7JjBkzCA0N5YEHHmDGjBmN+3emstToWGqcHgrLmsa1XDgoBNeC55rNVd1Oyn94i8CL7sObt4P8RS+DenjFyJwyDPukm3BiZuqIeD79ZY/Pc04Y2A23VsDvjGNHdgU2q4Eg//YNKj2atKQQPvxlLzv3V9AnPqhDz62hoXHidLo48vf357HHHuOxxx7zOZ6amsonn3zS4v6dqSw1OhaXq6lICQ+yIJZno6i+4yNcBRlInjoKv/4vR6/+OPaswdStF0KPiZw7pBvrdhSSlV/dZM7Mc5KxW/SccsS3Rpdj5/5y4sL8EDp49SY6xEqwzcTyLQWaONLQ6MJ0ujjS0DhR7H4GBOGwVhEEEFoQRgCm2N7U7VxJS26x6rWLCEkahoyZh64bwoHiWpZvzsPfomf8wG7YLXoETRidcdTUu8ktqaN/YkiHn1sQBPp2D2LF1gLqnSldOjBbQ+Ns5sypWKVxxmPSi5wz5IisxPJ6lOCEFucbwuPxVrccbC3XVSEIKqoKOlQSI/y4+YLezJyQRIBZpwmjM5SMvIYVwpgwv045f++4IGRFZX0LrRk0NDQ6H00caZw+KCqzJiVzxbkpWEw6FBWW76nBOuzi5nMlHdY+4zB1H9ji4UwxKSgc/uWuKCput1eLMTrDycivws+sx2bpnFUbf4ueuHB/Vm4t6JTza2hoHB/NraZxWiGqKucNi2XCwBg8soJeEvHTx2ON70v1qi/x1pRj7NYL27DpOHV2TJFWJP9g5Jqyo44kEDD+GupVA1o22tlFRl4VkcGWDo83OpLe8YF8tzqH8monQTbT8XfQ0NDoUDRxpHHaIXsV9ALoD/byqvfqEQOT8T//zwiqF0U0UisLIEO9aCX8qseoXDyP+r3poCrog6MJmnwLHks4ahv0T9M4fVBUlezCGob2CutUO5JjAtBJB1i7s1ireaSh0QXRxJHGGYGiqDjRATqQm26vFfyxTPoD9vH1oMgoOhMuwaK1SDgLKalw4HTLRHRyfzOjXqJ7pI21O4s0caSh0QXRYo40OgWdTkSvlzrEtaGq4JIlavGnVgygXjFpwugsZX9RDQBhgZ3f/6pHbCDZhTWUVLZvXzcNDY3Wo4kjjY5FEHDKKsu2FPDVimzyyuuRBYH21EiCACbJg59ajVUuxyrWI0naR/9s5EBxLf4WfZdIoU+MsqGTBNbvbjmjUkNDo3PQ3GoaHYcgsH1/BS98tIFDoT6f/7aXxGg7D143GKkdAqNFUcCqVlP+w9s4s7YAIPkFEjjpBnSRvXEpnf8lqdFx7C+qISyg81eNAAx6iYRIG+t3FXPesLjONkdDo0vz5ptvsnz5ct5///0OOZ/281mjw3B6lSbC6BAZeVV8/XsmYjus5lioo+ijxxuFEYBcW0HpVy8glmUhSVp/q7OJvJI6QuxdQxwBpMQEkFVQQ3m1s7NN0dDwieyoxV2ahzNvD+6yPGRHbYfbMH/+fF588cUOPae2cqTRIeh0Iht3FjYTRof4aW0O00YloG9DrSKKAt6SbOTqUp/jFYvfJ+iyf1BPx/bX0ugcHC4vFTUuQuxdJ3U+MdqGJAps2FPCOYO7dbY5GhpN8FaXUvLNaziyNjduM3dPI/SCO9DZ2r/CfFFREY8++ihr1qwhPj6+3c93JNrKkYZPBAEknQiigE536h8TQRCorHG1OO5yy23ewkySRJwHdrQ47ik9gKh62/akGl2W/LI6AIK7kDgyGXTEhvuRrlXL1uhiyI7aZsIIwJG5iZJvX++QFaTt27ej1+v5+uuv6d+/f7uf70i0lSONZqiCQGmNi2+WZ1JW7aJ/cghj06Ix6QQU+eQUjNer0D85hM9+2+tzPDHGjk4S2rTJq6qq6AMiWhwXzf6ogqjVgDxLyC+tQwCCu1jRxZSYAH5af4Dqejc2i6GzzdHQABraKx0tjA7hyNyEXFeFZG7fFjwTJ05k4sSJ7XqOltBWjjSaoAoCy7cW8MAry1m2KZ/tmWV8+ONu/vrSMqod8kmn3quqSnighcRoe7MxQYCbL+yDro3Df7xeBWN8fxB9/wawDZuOS+zcejcaHUdBaT12P0Nj8dCuQlK0HVTYvNe3+1dDozNQXHXHGa/vIEs6h671lNDodFxehfe+be6KqnN6eXPhFk6lOpBOUHnwuiFMH5OA0SABkBht58k/jCQiwITSDtWqnaKV8JkPIeibxhVZeo7A3HssXq+2bHS2UFheT5B/11o1ArCa9USHWknfo7nWNLoOotF6nPEz+4el5lbTaEQUBXbuL2/Rs7U9sxyXV8GsE1AQcHkVZEXFpJcwSMJxCyuqKkgoXDI2kQtGJqCooJcEdALtIowAvIoIAd2JuOl55PI8ZGcthrB4ZIM/tV4tjf9sorC8nuiQYz/wO4vkmAB+35KP0+3FZNAeyxqdj2S1Y+6ehiNzU7Mxc/c0JGtzL8CZRKvvwn379rFo0SJWr15Nbm4uNTU1BAYGEhUVxdixY5k8eTKJiYntYatGByAfJ6ZIBeq9Km99uYXN+xrcAJEhVv4wox/dQqwnFDOkyA290RAAVW0xg63NECWqZT/UoB6Y9CK1brlJixGNMx9FUSmpdNA3IaizTfFJcoydxRvz2JZZzuCendv3TUMDQDL7EXrBHZR8+3oTgXQoW6294406mxMWR5mZmTz77LMsWbKE8PBw+vbtS1paGmazmerqagoLC5k3bx7//e9/mTRpEn/6059ISkpqT9s12hhFUekV3/KXR2K0Hb1O5IGXl1NZezjzrKC0jsfmrOaZu0cT4mdEbeu0s5NEEMCLwLodRfy4JgevrDB+YAyjU6MwiO23WqXR9SitdiIrKoH+XbNsQ4CfkbAAM+l7SjRxpNFl0NlCCLv4z8h1VSiuekSjBclqP+OFEZygOJozZw5vv/0206ZN46OPPiItLa3FuVu2bOHjjz/mqquu4tZbb+XWW29tK1s1OgCLQeLC0QksWp7VZLtOEvnDJansyaloIowOoarw/ve7+OPl/ekqZRW9CDz9/nr25VY1bpv33U5+XL2ff902QvMpn0UUlzcEjwZ1UXEEkBRjZ+OeEryygk5rb6PRRZDMfmeFGDqaE/p+2Lt3L4sWLSIs7Pi/aFJTU0lNTeWee+7h+eefP2UDNToWQVW5aEx3UpNCWbBkL5U1LnonBHPJ+ETsFgMLl2a0uO+enApktWsEskmSyI7siibC6BBF5fUs3ZjLlCHd8Hq1BrRnA0UVDiRRwL8Lp8onx9hZua2QXfsr6Ns9uLPN0dDoUjz11FMder4T+h57+umnW33gyMhInn322Vbvp9H5iKpKcpQ/9181EEVpCJpWZAVUlYjgljMUAv1Np7RqJEoCLq9KVZ0b5aALxCAJqCfh/lKAX9bltDi+OD2XcWnRbV4+QKNrUlrlwG41IIpd9w8eFmAmwM/Ahj0lmjjS0Ohk2vRH/pYtW1i5ciV/+MMf2vKwGp2AoqgIgAQosookiTg8MucMjaVXQhAeb8PS/+ptBfy2/gCqCpdMSMKoE04uPV4Q2H2gmpc+3Ui9s6FqtdEgcdtF/RiQEgLHyYRrdriGQ7aIKAoHazZpcUdnAyWVDux+XXfVCBqqyCdF29mwp4RrJvfo0kJOQ+NMp00d2xs3buSll15qy0NqdAEUQeD7tQcoLHfw+hdb+Pc7a3l63nqenrcevSRyz8w0Jg6OYUBySItuKkkS8ahQ6fBS45aRBaHJw7/G6eWp99c1CiNoaCny8mebOFBchyqJSJKAIIkIknj8Lw5VZerw+BaHzx0ai0FbNjprKK5wYLd23XijQ6R0C6C63kNGfnN3sIaGRsfRFcJDNLowiiDwxsJtDOwZxrvfbCcrv7pxzCsr/LB6PxaTjmun9kL1+s6PVwWBzVnlzPlqG9V1bgBiwvz4y5UDCfLTIyDwzYp9LVYB+GpZBsP6RpAQaWP+j7sRBJgyLI6kGDtSCzspikr3KBv9EoPZmlHWZKxbuD8j+0Uia/FGZwWqqlJa5WyoRN3FiQ6x4mfWs2FPCckxAZ1tjobGWYuWEqFxTGqdXjbvLSHYZmoijI7k2xXZuDy+hZEoChSUO3j+ww2Nwgggt7iWh99YicOrogAHimtatKGgrI7aeg+1Dg9b9pWw6f/ZO+/4uOnzj78l3T7f2ee94pnEzt57h4RAIIQQKHuvllkKpT9aZimrrLZQChQoe5OEFVb23nvH8Yr3vrNvn6TfH5c4cWwncQhk6f168QqWvpIe6e6kj57vM3ZV88x7a3jx4/XIh5k7k1SVu37Tl/uvHkDvzrF0z4zmzkv68tD1g9Fp02lnDE3eIL6ATFTEye852j+1tnZn9UlTEkND40xE8xxptIsoCuytaMRmMVDT4G13nD8o4/PLGExSq3UhFT74YXub23n9IRatL6FndixZyVHsKKxvc1xago3q+nBfLKtJT5M3CMC2gjp2FtfTKyO63erckqrSIy2Kbp0cKKjohHAl7/3PHUkn4gsqBEMKep2ISScesdK3xqlFjdMHgN16cscc7adraiQb8mrYW9VEWoLtRJujoXFGookjjXZRVRV7hAG3N0j0YTqZS6LQ3CvtUBQVCsvb9woVljdSUeNm0rBMflhRiHxIZpogwNlD0nn+w7X06RrXykM1e1kh3dIdh82SC1f9DgeYywd5jBRRYP7aUmYsyMPtDWI16bhwbGfG9U9FVDSBdLpQu08cRZ4i4qhTgg2TQWLNzmpNHGlonCCOShw98MADR7WzvLy8n2WMxsmFqkJitAWdJODxh0iItlBZ17oT85j+qZj0IuqhHhcBfPu2Kyxve0ou3mGhoMzJZ3N38chNQ/nHx+upcx1407/2vO4sWl+CyaDDH5AJHhInJCvqMSWcCZLAV4vy+WrxgWKXFpOeFZvL8XhDXDAiA1UTSKcFtS5f2CvYjoA/2ZBEgezkSNbuqOKi0Vkn2hwNjTOSoxJHK1euPOodJiUlHbMxGicfRkngoRuG8NJnG7jt4j68NmMTZTXu5vWDusVz+cSurYSRIIQz0174aB3nj8ziP19sarVvSRTo2zWOrxfvQVHDHqKnbx/J3spGQrJCICTz7dICSquauOfy/nw2dzeTh2dgMekpKnexdkclZw3shF7qePkAX1Dl26WFAOR0iuTms1OwNJVCUy3E2jDhwSeYtbiP04Bap49Iq2Ff6YZTg66dIpm5uI7yWjdJMSdns1wNjdOZoxJH8+bN+6Xt0DhJURSVRIeJh24Ywt7KRu64pA96nYTbFyTWbsJskBDaEBCqIPDJnF3srWyiyRNk6ugsvl5S0NzPzGrSccu03nyzJL+58WyTN4gApCVEUFnnobrcy8XjupAab2N7YS3nDs9gwdoSnG4/3TKiefy3w0mMtjSXDxAlkYCsoKjhwpUS7fdPa/QEkBWVzql2/nC2A/+3jxIM+JrX18emEnfxAzSq2oPpVKfW5cNm0Z9oMzpERqIdvU5kzc5qpgzXvoMaGr82WsyRxpFRwSAJpCfaw7WBFJUY676HTTuelaCsNgdYv/fddsYP7MTf7xhJZZ2n+Q3+q8V7mscY9RJ2q4Emb4BIk46UaDOdYq2oqoqCQHFlIzMXHGhdsqfEydzVe3nmjpHYjRIBFWbOy2Pu6mICIYXuGdHccEEPoiMMcJBAEkWBoAJ6fXiK5aYJKQRmP456kDACCNaU0DDvHRwTbkBRFEKCAb+i1zxJpyA1Th/R9pM/U+1g9DqRrGQ763ZWMWV4xok2R0PjjKPD4igQCPD++++zbt06XK7WcSSCIPDOO+8cF+M0TjyqIFBS6+Hjn3ZRXusmPdHOZRO7EmMztukx2o8kCjjsxuYmtfPW7GVzXg0P3jCYJ/+3msp6T4uxd13al/lr93Ld5O4YdSqKIBIMKiiiSHWDt4Uw2o/XH+KNL7dw5yV9+OubKympampet62wjj+9vIRn7xyFwxIWNaIo4AmpPPX2Kv58VR+6pTuwh+oI+lvHUQF4dq/B1nsclZ//HVNmLxzjrsFniCGknDrTMxpQ5/KRkXjqBTZ3TY3i62WF1Di9xEaaT7Q5GhpnFB0WR3/961/5/PPP6dKlC1FRUa3Wa2/Wpw+CKLByWxWvzdrcvKzW6WPdziruv2oA3dOjUOS2P2+9KHDx+C48+/7a5mXVDV5qnT5unNqDGqeP/FInXVPtDMs2E3TVMOjsOPx75uEu3IwuMo6IvhPZUKGSXxVose8+XWKYPiQWm15BFnSISrC56/rByIrKu7O3c9clvUGFoAJPvr2KBIcJMW8hd54/EKFyZ/sXQFVQFRlQ8RVsoqL4AZKuf5omKabdgpUaJxf+oIzbF8J+EjecbY+sZDs6SWDdrhrOHtTpRJujoXFG0WFx9NNPP3HnnXdy++23/xL2aJxE+GWVt77Z2ua6V2du5rk7R7b7BZJlhZxOUUwelsHs5YXNyz+du4tLxndl9tIChnSLY0B0I84ZLxA36SYqP3oUxXvA+9O47gcyz7oZOTanedmtkzPpbygkMP8NFG8joiihdBvOU9dP4cF3d+D1hw42g0171CWtIAAA2jBJREFUaggpKjrA5Q1SUtXERUPjCG35ALYtJOb826lo5xxEix01dECYqXKQhkUfYz3rt/jkUyPz6UynvjHsuTzVYo4gPNWcnmBj3c4qTRxpaPzKdFgciaJIv379fglbNE4y6hv9rVLn9+NyB2j0BHEc5qEjqirTx2YzeUQGO4vrMegkOqdGYdIL/Pm6wVhCDbjev5/IIVNoWDqjhTDaj2fem/S54R9A2GPU31CIb9FB07aKjGfrYsx1Ffxu8tW8MLNlOYkIsx4QEAQV574HpaKAIIoE60oJ7N2GKb0nvqItrY4dNXQqjRvmtFjmzd9I1Fk+fLQfJCsIICPg8cu4Grw0+mXMeglBaDdES+MXon5fWQjbKeg5AuicGsmPq/ficgdOmSKWGhqnAx1uH3LhhRfy+eefo2g1YE57pCM0d22v+evBKdOCqmLRiQzsEkuvDAdGEVRZxaoX0VXvRg0FMCZm4du7re2DqArest1MH9eF6YNjCaye0eawYPluOjsUjPqWHp3zRmRg1AmoKsREhgtZLtzuQug6GoD6xZ8SOWgytn4TEXThh49kiyZm4vUofg++4pZ2iSbLYesqCQIEEXjh4/Xc9cICHnx1Obc/O5+/f7CWgCpwCmWTnxbUncKeI6C5H9zGvJoTbImGxplFhz1Hv//977nwwguZNGkSPXr0wGxuGSgoCAJPPvnkcTNQ48QRaTVgNenw+EMMzE1gVL8U9DqRRneA1dsqsZoOfH1EUcCMB9x1yB4Xuqh4ZL0NrxIWHPIhsUmiKBCqLweOHKcW8vtJiDaTEatS722/2rZav5dou4ny2nAdpm4Z0Zw1sFNzg1mrSUePzHAj2qaxA7DGLiVYU0LdytmYx91IRM9zkeUQUVYDtd/+G3/ZbgAkayRSr3NQ47LQWyNRDFbwtW2DgsDLn21kW0Fdi+U7iur55yfr+cNl/RC1vm6/GnWNfixGHTrp1GwjaTXpSYmNYN3uakb1ST7R5mhonDF0WBw999xzFBQUYDab2bSpdWG/U6nQmsbhMUgCf7iiP76AzK7iel6dsQmPL0Scw8yVk3LRiSIoCqIoYAnWUvXZk8iuA2+4pozeOM69jSY57LERJAFfUMXtC2I2qFi7jEZc+z1yYy36mBSCtaVt2hGV2Y3SlU5qHSZEUQKl7Sa3joQkzh9po9bpZ2C3eOKizIgHpfFLqPz+sr688dVWHv94J/938R3EKlXU6FP4/csbCewTUZeMSuGs9P5Qtht9zgiauk3l3QWl7PihjChbLVNHCwzrkYjYhqjzBmU2tfOWv62gDm9Axqo/NR/UpyL1jX5s1lPTa7Sfzil2lm6uwB+Q223To6GhcXzpsDj66quvuO6667j//vsRRe0mfzqjKioZiTbe+HobyzeXNy+vrvfyj4/X87uLejGkRwIWxU3Vp39DbmzpLfEVbsK15GPMI6/Bq0rMmL+HH1YUNfdP69U5htunPUbTwtdwjL6MqlkvgtpyulbfcwJfrqmhzqVgiclA7D4Kz5YFrWwVTRHoHEmMirUhCAKhkNzKI6WqYYF0y9Qe+IMKvoCMak7iyX8uahZGAJ8tLkUZkcXkq56jwqPjoTfXNZdKqmnw8eZXW9m6p5abLujRSiB5fS0Dwg/F6w9h1WuxI78W9S4fEaZTXBylRrJgQxnbCuvo1zXuRJujoXFG0GF1I8sy48aN04TRGYLbJ7cQRgfz3nc7KKn2oPi9GOLSQGyttd1bFyMS4pslBcxe1rKx7Oa8Wp6ZWYQ45FKaNi8g8Tf/h6XLQCRrJIb4dAwTbiMvZjQfLdjL4g2lfPTTLqyjr8aY0rXFMURTBPGXPohXtDYLosN5MAVFxSQJRJl11Dq9NHmDrcZ8sbSUFUUKr329m7aKbK/YWkFjG9tZzId/EFtMWt3VX5O6Rv8pG4y9n2ibiRi7ifVa3JGGxq9Gh+/UEydO5LvvvmPIkCG/hD0aJxGiKFBa1X6MT5M3iFUK0bT8c/SOROwDz8W9YwVNm+YfGKTINAZFZi8rbHMfBeUumiJ6kzb2SpSAl8ixV1HVqLCluJEvF1RSUnUg+2zRhlIum9CZ2PPvQPG6CNSUoLPFIjqS8IkReIMqO4rq2FvZSOfUKLJSIjFJreOd9iMItEr9P5iYSDPFle2f/9b8Okb1SkQ+qK+cWS8ytGciK7a0LhAwsFs8Zr2kpaz9ijQ0+Uk/DTrbZ6fY2ZRXg6KqiFrogobGL06HxVGfPn147rnn2LFjB/369cNqbZnSLAiCVgPpNEFVVWxHSB/W+Z24ty8DwLX2e6LHX421+0jc25YAIBhM+IJqi2mrQ6moasC4+gVC9WFBYczoQ86gq3C5WxZ/VBSVprpa/DP+iKAzIEU40NmiiT7vdmoag/zl1WUtxE5UhJHHfzsMm0Fqs8eaqkJijLXdFHtJEhAF2vQcAVjNOlqlrikqN03piSSKLNtchqqGRdiQHoncOKXHYauKGyUFveIFICQa8Ss6TUf9DEKyQqMnuK+cw6lNdnIkq7ZXUVTRSGaS/USbo6Fx2tNhcfToo48CsGHDBjZs2NBqvSaOTh9UFeKizESY9W1OPfXJjkZXtomDJUzdvPdJvPTPuLctBVQih0zFa9AjiUKLKbWDcRjlFvFK/sKN6BtruOP83/HkJ7ual4sCmIQgMqCGAoQaKgk1VFIz63nKut3QygvU0OTn+Q/W8eB1g5rnj0VRQBCEZm+PSScyaUg6368oamWXSZIZ3D2eFVurWq0TRYHc9Og2vVKiqnDj+d24clIOHn+ICIsBk05ECbUdSC6KAlbVRcOCj/DsWAGqijmrL1Hjr8ari0bWqmYcE86m8DfzdBBHKbFWTAaJDbtrNHGkofEr0GFxtGPHjl/CDo2TFKMk8OANg3n0vyvwBQ483BOiLdw6MYnQV/89ZAsVf0U+hsRMxLQ+GHqehYrI2AGpzF29t9X+E2MsRIaqCYZaeomCtaWkmn1YTDo8+4Kch/aIR1e0ikMlRqCigKyRbcfAFZa78PhDOMwCJsWNv3Q3iseFNTUX1ezAoxi5bHwmqVESXywtpb7RT0pcBFePSyG2fAXXjOrLntJGqhu8zfsUBLj70r4YpcNUddwX1xRhN+JwWKmvd9OexrHSROX7DyK7nc3LvPnr8ZVsJ+m6v9OI9jA8FuqbTu0aRwcjigIZiTY25dcybXTWiTZHQ+O056jE0Y033sjo0aMZM2YMGRkZv7BJGicTiqKSGGniH/eMYffeBkqqmsjpFEmSXIo8+2kUn7vVNioCwdF38O3aKi4KGdALCpdNyKHRE2DV1srmcanxEfzfRRko3z3T5rHVur3EREbg8TUysFs81w614f9qdptjhYCnXe9UMKQgVeVRNvN5UA54l0zpPXGcdwfIMgNLP2LAlMmopmRorIIN/yFQU4K05UeeuOZBdtUKrN1eRZzDzKi+KVgMrWOHBEFAFSCkqOglEfUoXD46nYh3x8oWwqj5/AM+Gtd8i2HoZQRCWpxJR2nYVwDydPAcAWQl2Zm9slirlq2h8StwVOJo1KhRLFy4kOeff56EhATGjBnD6NGjGTp0KAaD9iM93VEUFYMAvTIc9MqOYfeeUlj/CXJTfZvj3dE5/PGtzXTPiEavE0BWkVSF687rzrnDMml0B7CYdSTa9QhfPUyosbbN/dgTU7h2cnL4rTlGR9M7d7foddbCRkNEm8LIZJCINItUf/BsqzIBvqIteDb8hLn/ZARJwv/9i622lxtrsdNE78w0+mbHoqoqwaDcShipgkB5vZfP5u2mss5D59Qopo/rjEN3+KxOSQ3SlLem3fXe/A2YB10IaF3ZO0pDkx9JEjCdJrWB9k+nbSmoZXjPpBNsjYbG6c1RiaPrrruO6667Dq/Xy/Lly1m4cCGPPvoodXV1DB48uFksdeqkNUc8nVEUFUGVyc5MRh91PXWfPNq6LlFmf7ZWqgSCMueNyCQQCgsrAFT465sr0EsiQVlhXN9EfpPWh1DDj62OJZptlPhtPPnuKhQVbrsgh/45g3FvWdRqrDm7HxWBtr0Dl49Px1i5BbfaTo+4td9h7n0WjvHXUf7un1t4lgCMad3BFkcopALtZLYJAsu3VvDGVwea9JbXuFm6sZSHbxxKtKP9PmwIIrroJAwZgwlFZ4EAupo9yBu+Rm6sQzJHgCAdtmWJRtvUN/mxmfWnTWFaq1lPgsPMloI6TRxpaPzCdCjmyGw2M378eMaPHw/A7t27WbRoET/++CNPPfUUqampjBkzhgceeOCo99nQ0MALL7zAggULaGpqIicnh3vvvZeBAwcCsHz5cp599ln27NlDUlISd955J+edd17z9n6/n6effprvv/8en8/H+PHj+ctf/kJ0dHRHTk3jKFFVQFYQozuReO1TOBd+iG/vdiRLJGLvc6iy92Dm90X8/rL+LFhXQlyUmQtHZSKHFEx6iYG5CazeHp5aW7ixkgnXnEVUYw1q7V6EIZfis3UiIIM9OpoNGytQAaNBwmq3Yup7A1LmQJrmvYXibgBBxJIzhMhx1yAqVm66oAefz8+jodFPvMPM5WNS6WGtI1R6oD+azpFE1NApSFYHqhJCECUkQcBjiiXpuqdxrfwSxe1ERcWU0Rtzt1HNFb7bI6CovP1t695wigr//nwjz941qt2CYkFVwtXzEl6ZuY3de8NlC3LSorhl0v9hWvYGtsHnERCMaOqo4zibAlhP8QKQh5KRaGNrQZ2W0q+h8QsjqEdqbHWUuN1uli5dyuLFi3n88cePersbbriB6upqHnnkEWJiYnjvvff44osvmDlzJqqqMm3aNK6//nouuOACFixYwAsvvMAbb7zBsGHDAHjggQdYs2YNTz31FAaDgUceeQSr1cr7779/zOciywp1da1jaU5XdDqxOWg4FFLQ6cR9VaaVw/Y9EwQBgxgk5PchiCINISO+oIIohAtEbtxdTU66g/uv6I+gqggCBFSBp99ZTUG5CwC9TuTui3LISI3jyXfXUlYTvu6iKDBhUBpnDeqEQS+xemsFbl+QXtmxJMZYsIs+TGKIoGTFL4enTfR6Cb/bhRD0YNWr4AlP+wk6A5WfPIk+NhXHmMuo/fEtQg2VzeuiRl+GPmcUTYqByjo3m3bXEB1pok+XeIy6w+TyEw7OLqx289gbK9sd89J944g0SYTaKGfglVX+8I9F+IMtw8yNBokXb+1HjN2IWza2u+9fg7i4I9cJOhl+M4d+j5/7eD0hWeXCkZkn1K7jSVFlI5/My+OR6waRnnh86zcdev00Os7+a6hx6nPcyvVarVbOPvtszj777KPepqioiKVLl/Lhhx8yYMAAAB566CEWL17M119/TW1tLTk5Odxzzz0AZGdns23btmZxVFlZyaxZs3j11VebPU0vvPAC55xzDuvXr6dfv37H6/TOCBTAG1JZtbkUZ1OAfl3jSI6xohPUNpOyBAHq/SKP/HcTtc4DnViTYqz8dnpvCsqcJERb0IkCshzeh0FQefjGIbh9QepcfgQhXI/owdeW07AvuwjCU3g/riwizmFmW34t63dVA/Dlonx6Zsdw/fk9cFitcFAqvaqq2EK1ePNWU7XuJ9SgD0QJa/cRJFzyJ1RVpWrmC6iBA5lnaihAw8KPsGSO4In3VlFYcaDooygK/OnqgXRJth3WcSMdoVp8ey/4kk7kuyV7WgkjAH9A5seNdUwblQXt5rlpHI6GpgCJjtMrVisl1opeJ7KtqO64iyMNDY0DHJU4Gj9+fJvz9oIgYDabiYuLY+jQoVx11VVYLJajPrjD4eD111+nV69eLfYpCAIul4s1a9YwYcKEFtsMHTqUJ554AlVVWbt2bfOy/WRmZpKQkMDq1as1cdQBfP4Q63bV8NJnG5qF0KyFe8hMtvPnawchtaEOgio8+fbqFsIIoLzWzfvfbeeCUVn07RqHooQf7qIo4JdVVm4pZdW2SiKtRkb3S0EniS2E0cF8tWgPN03t1SyOALbsqWX1tgomDEpr0eFeJyh496zHufLrAztQZNxbFiE3NRA14qIWwmg/hm6j+GReQQthBGGB9vf31vDyH8dhbEfgqCrEO8wYdGKbhS6TYq3YLQaQWwugQEhhy562g9EBNu+p5fwRGR3v8aMBgLPJT3by6VUGQSeJpMZZ2VpQx7lD0k+0ORoapy1HJY4GDx7cblBjIBCgoqKCf/3rX8yaNYtPPvkEm+3o3mjsdjtjxoxpseyHH36gqKiIP//5z8ycOZPExMQW6+Pj4/F6vdTX11NZWYnD4cBoNLYaU1HRun1DR9AdIcvodEKSRGpdvhbCaD8FZS6+XlLAJeOyUQ+ZXnK5g83TYIeye28Dt0zrRazNiLjvq+MOKDzwytIWQmjppjIuGJ3F1NHZfLloT6v9NHqCGNroYj939V4G90gk3m7EH1JxeQIYZA+u1d+2aY+vcBPCyItBEFsFkSvZI5n/bnGb28mKyraCWobkxrdZZRtAEgRuv6QPL360vsVyvU7k7kv74bCbcLlaizIJAYfdSGHbreuItpvQ66TDVtU+mTjRvxlJEpv/DckKbl8Iu9WAJJ1esTmZSXYWbypHQcWgO36ZeAdfP41jQ7t2pw9HJY6efvrpI44pLy/n2muv5bXXXuO+++47JmPWrVvHAw88wNlnn83YsWPx+XytSgXs/zsQCOD1etssJWA0GvH72/ZEHA2iKJxx88ZzF+S1W8/wx5VFTBubTewh16Ssvn2vB4RFQ0x0eBuvP8TrX69v00P01aJ8Hr5xCN8uzSd0SMVpu9WAP9Da69LoCSAKAr6QymNvrmRvZSP/uj673VR/gFBTPaLJguJtarFcFiRCh6lJ5GwKEBl5eI/o0J5J/PMPkXy5aA9lNU3kpkdzztB0EmLC29ntbU/vXDy+C+t3Vre57qJxnYmOOnpP7InkZPrN2O1mquo9AMRFW7HZTq+pte7ZscxbV0ql00/vznHHff/tfVc1NM4kjlvMUVJSEtdffz1vv/32MYmjOXPmcN9999G/f3+ee+45ICxyAoGWD7v9f5vNZkwmU6v1EM5gM5uP/QeuKCoul+eYtz/VMBh0ONuZ1gLwBWQCQZn6+pZeIrvV0G5fMp0kYDHpmrfxhVSWbW7HRQJsza8lOzWKnUUtayedOyyD+WtLWo3vmR2L1axvFkYAimRAQKC9ACGdLbrtHmqNFaTGR1BS1dR6JdAjM4aGBne7cVeiKKKqKg6Ljusn5xKSVfQ6AUVW8bgD2O1mXC5viwa1+0mKtvCbCV34dM7uFvu8bGIOCQ5zq2t+Ijga0XMy/GYkSWy+1sWlDQCIKDQ2tvbancpEGEQsJh0rN5fTKeb4ieeDr19b31WNI7P/Gmqc+hw3cQTQpUsXKisrjzzwEN5//32eeOIJzjnnHJ555plmb1BSUhJVVS37WlVVVWGxWLDZbCQmJtLQ0EAgEGjhQaqqqiIhIeFnncuZlK0hCCEG5Cbwxfy8NtfnpDmQ9mWvHYxJJzKmXyoL1rUWL5OHZ2KUDmyjqBw2800SBZJirM3iSCcJnD8yi6RYK5/M2dVirE4SuHRCVwJBuVkYAazIczM2qx/+/HWt9q+zx4GqknDhPVR/++8DvdwkHXrFx3WT+/O3t1e32i433UG03Ugw2PLcRVEgoEBZjZvde+tJjLHSpVMUJklAVVQOdXbJstLud2rSoDTG9EtlR2EdCJCbHo1JJ4KstFdZ6aTkZPnNyLLSHAdnNuja7H93qtMpPoKt+bW/SCbe4b6rGhpnCsdVHPl8vlbxP0fiww8/5PHHH+fqq6/mL3/5S4vYpoEDB7Jq1aoW41esWEH//v0RRZEBAwagKApr165tTu0vKCigsrKSQYMG/fwTOkNQVUiJjyA7JZI9pS3bWIgC3DClB21mtCsKV52TS5TNyHfLCvEHZcxGHVPHZDNhYGqLGCWDJNKvazzrdrZu4grQNT0ah93DyL7JRJgNREYYMOtFAiGVCYPSWLCuhJCs0D0zmuvP70FspIHCiibsVgNN3iCKojJrWSlDr7scg7uBYGV+874lWzSxk2+l+uuXEfRGosdchhQRDaIEpghmrm2ksrCc+64cwGdzd1FU0YjJIDFhUBpTx2QjKQqSJCCKIoqioigKPlnlkf+uoLLugLfEaJB47OahJEaa2o1PagtBVTFLAgO7xgKEH+anSJzRyYrTHUAUwGI8rre4k4a0+AjmrivFFwhhMpye56ihcSI5bnWOAJ566ik2btzIxx9/fFTjCwoKmDJlCmPHjuWRRx5psc5kMlFRUcG0adO47rrrmDZtWnMLk4PrHN17771s2LCBJ598ErPZzCOPPEJERATvvffeMZ/HyVCz5ddkf22Oylo33ywp4PsVhfgCMrlpDm64oAdxkUbUw7x9i5KIL6QQCMoY9FK4A/0hbnlBgEa/wv0vL27RwBZgaM9EunRy8N532wH4z31jMO4LNBVEkRAQCMoIAhh1EhajSJNPps7lp6jCRUykmcJyF5/O2YVOErj13Ay6xKjYQvXoIyKRG2upX/xZc22j/USfdS1e0YI/ZQBvz95BeY2bSUPTSYyxEhlhxO0NoNdJJERb2FVcz+69DaQl2uiZFcPXi/P5dllhq2thNet54a5R6IWW1/ZUrh1zKtY5+nx+HvPXl/K7qT1PqE2/FLUuH29+u517ftOHXlkxx2Wfp8N39USj1Tk6ffjZrxzBYJCqqipmz57NBx980ErkHI4ffviBYDDITz/9xE8//dRi3bRp03j66ad55ZVXePbZZ3nnnXdITU3l2WefbRZGAI8//jhPPvkkd9xxBwCjR4/mwQcf/LmndUZiEGHaqEwmD09HUGUkdw1S6QL0gTR0sel4sLTpEVFkBYMAhn09rA4VRhB2hNhNEi/cPZqvFuezflc1NouB8QM7odeJ/GfGJiDcjFbvr0MyJhBUVOat3YvVrCfGbkYQYG9lI8N6JfHTqiI6d3Jgtxpxuv3UOb3cd9UA/v7eGl6Ymcd5IzK4ekJfXD+8gmfXqlb2APhrStgSPZH//nsZk4amc86wDEKygqrCxt1h+zqnRvLHlxbjch+IbTMZJO69cgCb99RSXNky/d/tDVJV7yU1xqw5f04gLvfpVx37YKJtRiLMenYU1R83caShoXGAo/Ic5ebmHlV/oquuuoq//OUvx8WwE8nJ8Bb8a3LwG6OqyhidRVR98gSqHDwwxh5HwuUP7ytHKBIULfjl1t8JURIJyAqSICAJtCmmdDqBTQX1lFQ1sWRjWXMgtCDAo1d2JyX/Syxn3czq3U4EUeCTn3ZRWt2EKAoM7ZHIFZNyWbKxlC8X5eP1h3DYjEwdk01clJl4hwWPL0hkhJFYC7i/eQ7f3u1tnrfhwof5v0/LcDa1neH24j1jePHDda0EEIDDZuTa87rzj4/Xt1r3x6sG0CMtCkVRT4u38VPRc/TiJxtwugNcPCb7hNr0S/L1skJ8gRAPXXt8QghOh+/qiUbzHJ0+HJXn6Pbbb29XHFksFmJjYxk0aBBJSVozxFMdixDAX1tC3NS7UOUQ7u3L8exeQ8hVTe0Pr2NMysa56hsieo7BPvximpSwh0QUBTwhhdlL9rBhn1do2phsctIi0akyiiARDCroRLDITrrFqtTXq3j9ISRRICc9imvHpWDb/hWy14UnJGIwSDzz7oGO9YoSzngrKHNxxTk5eP3hcOX6Rj9vf7ONKyblEBNp4pH/rgBgRO8kbu02ol1xFDA5cDYVtnstAkG5TWG0/5gWkx6xjVisTvG2DsUcaRx/Gpr8RJhPX88RhIOy56zZi9cfwnyaxlZpaJwojuoXdeedd/7SdmicBBiEIKHyPFyrvyVYV45gMGHrPY6Ei+6l6st/4ivcTOSgyTiXz8JfsoNA8WZsnboTEnQ0yGbu/efiZsEyoGsMKSYPgdVz8dcUYkjIxNZrLKrfR9m7D6LKQQam5jLg3EkIlkQsccn43Y3IehOWAVfgDKp8Ma/t7LnyWjf+gExclJnqhgNp2l8u3MPg7geKhi7dVM70IT0xRsYTcrYMBJeskejMlnZLEYiicMTGnrKshIO0D5pGHNozEYtROqaAar0+PC0ZCsnalNzPxOkOkOA4NWpEHStp8REoKuwucdI7W5ta09A4nmivGxrNKGXbqJ75fPPfasCHa813BKqKcYy+jLp576LKMpHDLkQfnYRz5VcEv30FXWQchkHT+O3kTF6cuZvsFDu3jDDj++IvhJSwWPLmb8C56mviL7gLfWwqgcoCAiU7oGRH+GCJWWzOuoZSeQgTjEkIQF5JQ7u27ipuIDUhooU4cvtCrfqU/e2TPP5160MEt/xE0+YFoChYuw3H3v9smpqqGJgbz+rtrTPo7r60H4GgjMkgtQogh7B4yky0kJFsI2+vE4tJx3nDM5k0NB1R6diUhCIIuDxBFq8oJhiSGdE7mdhIE5KmkI4JVVXDMUenuefIsS/uaOfeek0caWgcZzosjo4m/mj79ranMTROHkRRQKcTCT/HVUKNddTNebvNsb7irUSNvgxx+pN4HDEYGuuo+fY/zetDzmpCc16na7/zuGBoL/pn2wjOeRaUQ6r0yCFqf3yL6PFXUf31yy1WBSryyR2uZ/muRlZtq2Bgt0QizHqavEHaIirCSGG5q9Xy4CGxEgnRFvbUKnQbdgmWvpNBUAmKJtyqhBgDN01VKK1e2aINSvfMaNzeAEs3lXHh2M58/OPOVsc5f0gy0u5FPHbNSJwBPZIoYNKLyB2M1VAEgZmL9vDt0sLmZd8sKWBAbgK/m9YTURNIHcbjDxGSVaym0/vdTxAEUuOs7CpuONGmaGicdnT47tFW/JHb7WbdunUUFxcfc+sQjV+H/cUL9+x1smFXFXHRFob1TMIie5Ab228HUl9SwDNLTNx+roB1UdulGgIbvmPi9NFIso+gu6HNMbLbic6RSPy0e0EAQRBx71xF07YlIIewWQ2kxtv4ZskeJgxOY9bC1v3WRCEsYD6b17I4ZJ8usWzY16A2K8XOw5d1hbKtBLe8S2NBFBH9zkaxRBMICezvdG8QBB69eSjl+4o5xjss5KQ7ePj1cA2j7JRIbpnWi68W7aGi1kO03cS0sdkMjXXimfUukTkDMEnhAqT7hZEoChjxISKDKgFtB2gKgkBlvbeFMNrP2h2VbNqTxIAusVq14g6yP8D+dM5W20+nffWO/AEZo+H49VnT0DjT6bA4Olz80f3338+WLVuYPn36zzJK45dBEMAnqzz0+nKq6w9MR334/Q7euXdAm01Z96MYIvD6fUSIfhR/O20iVAXJW4dgaB3rIVmj0HUeSmSPYXh3r8O5ZjZq0Icg6YnoOYr4aX+gwK+npKqGyAgDc1bv5f6rB9K7cyyb8moO7EcU+P3l/Vi9vaJFXE5SjJXLz87h8/m7SYmz8tTVOVR/9MiBSthA08a5RI29EkuP8XiC4QeJqqrogLRYK5kJESiKil9WaWgMt1P56MedZCbbmTo6G4fNRKMnQHW9B2oW7D/pFudpFIOI9cU0LPyAQHUx+sh45FGXYEzpQYiWfQBFSeTbpQVtX0vgq8X59MqKQXvkdYz9ZRcsp7nnCMLiSFFU8sqc9MiIPtHmaGicNhzXu8e0adP4/e9/36FaRxq/Hqog8va3W1oIIwhnW81cUcm5OYPx7FjRajtBZ8BrTabWuQ3E9r8yxrSeiNFJBFUdkj0W2VUDCBjG3kilOZNyl8qAHcvwrpt9wCY5SOPGecjeJmpSppJf6sSgk1BVeOHDdVx9bjfOG5HJnlInEWY9qfERSKLAlFFZdOnkoKy6iZy0KDLijbBtDrf1jCQyuzd1Cz9oIYz207DgAxKyB6LooxEPyiiTJAFZDYsvPZCT7mgWZQVlLl6bubl57F1Tswnu3YshMRNZMu93QqGTBNS9G6n65sCUYbCujOov/4l96IUY+03BLx+QOoqq0uRre9oQwOMLoqIiSQJ+WcUfVBD3Td+JR2jHcibjdO/3HJ3+4ijGbsJi1LGzuEETRxoax5HjevcoLi4mFDqVukGdWfhDCqu2VrS5bvaqci66+0qCVcUE68oOrJB0GM+9hzfmh5vG5tXI5MR1Ili9t3mIPiYFxt/Okjwva78sJNJqYMqkR0lSawjW7mVGYTQ/rN3JCzd2x/vlj20e37NrFVm9LwKgyRskI8lOYbmLt77eitEgkRRjxR+Uqarz8PCNQ9hV1MD8tXu5Y2oXWPM5TV/ORR/bCceo3xCoLsKzs+3CjwDePetZ5M1lbL8UAFzeELPn76Gi1k33zGjG9Evlxgt6cs+LC1ql6UfbTXSLhWB9BQlX/RUvJvZ7j4yKm6q5b7d5TNfKr0jqPR4/9gOXVoDhvZLYtLumzW0GdkvAoJcoqXbzyhebKK0O14PKTXdw2/Q+2E2SVjKgDZxuP5IoYNSf/j43QRBIjbeys7j+yIM1NDSOmg6Lo5dffrnVMkVRqKioYPbs2YwbN+64GKZx/JFlpXV/tH34AjIrCwOMuvRh5PpS/CU70dljabRn8uqPpWzKD998P1xYxuOX/hbx66dQfE0IRgvy+Lv583s7afQc8IKs2FrBtJGduHBwLyKrw9lgRtXXnL3WFpLPydgBKcQ5zFx/fneefGc1/oCMPyA3B19feU4uCOE6NmcPSUcp3Y5v01wAIgefR928d4k+69p2pwcBlKCfTXtqGNMvlc0FtfzjowOFHDfl1TBr4R6e+N0InrptBC99tpGSqiYEAQbkxHL9+BRMhYuJueFZfFJkS3EScKN4m9o+qKoQclYhOuzsT2YLhRT6d41vVZIAwlNCU0ZmUd/o56HXl7c4zo6ieh54ZQnP3z0aw5Frs55xuJrCmWpHU7j2dKBTXAQLNpYRDMnodae/INTQ+DU4LuIIICIiggkTJvDAAw/8bKM0fhmMeonkWGuLzKyDyUqJpEnWIUR2RoruiiqolOx1sT4vPD1lNenISXcwZ5fMhVc+Rah0OyHJxOuLqloIo/3MXLKXMd3sjI+rxH5+LlEOE237SMJExjiItHp55PXlXDEpl2fvHMW8NXvZXlhHXJSZ80dmYTHp8PlDJMVaKS6uILvq++btJbONkLOaQFURxtRc/PvLBByCOasfmY0Bmnwh/v3ZxlbrfQGZlz7dwEPXD+KRG4fgD8pIoohVr2IQZaSYc1ADPkwhJ7Legl81oigqgnj4B1NTQEBQBaSD4pQMIvzt1uF8sWA3C9aWICsqQ3omccXZOZgNIu/M3tWmd8jtC7FyawXj+iZr1YwPwekOnBFTavvpFB+BLKvkl7nISXOcaHM0NE4LOnwH2bGj7QeOxsmPQRK45cJePPbmilZFBof0SCTSYgBFQVVVQqFwbZ/MJBsXjMrCataTlmBjV3EdA7sn8v3mGipqHZwzLIM1Oxa3e8z1hR6GVS1nxPhezNtSx8DUbgRKWpd60DmS2LjXz5eLwtlp//h4PaIocN7wDP541QDqnD6cTQEKy13MX1NMbkY043rEohS3FnqNG34idvLvqPziWZBbeqrMXYcQMEaSnugjr6ShVer/fgrLXXj8Mla9iEUn7luq4vTI5BVW4/WH6JJswVS3DUdmLh59DIpoRX/IlOOB80vAb4mjpspN52QbwX31mBRFRS/AFRO6cvG4LqioGMRwZcpAUGFnUfvTJRt2VzOmb3K7689UnO4AljOoYnRspBmTQWJncYMmjjQ0jhNnzh1EA1lW6BRn5cnfjuDtb7exa289kVYjF47JZvzATiDLHKoVRFXlgpGZzFqcz39mbOIPV/Tnb2+tbK4/NKh7YrtTdQCyZEA0mvC56vlkUSl9r70e/bx/EawpaR4j2WMRJ9zNm5/kt9hWVVXOHZ7JwnWlfLu0gDqXj4RoC1NHZ+P2Btlbr5CT0Y9gbSkAit+DZItGbqzDueJLEi/5PxrXz8G7dxuS2UbEoPPZpabjK/Hz1aJ8Jg1LP+z1UuUgEUYZvxSBN6hS3RDk359vatFSZGL/RC42lhCdbsRNBLEX3E3l+w8fyOgTRAxjb6Yuphc/LCklJCvIAzuRHm9r4UFSZKX5x6juu6CiKBBtN1G/L3PuUBKiLeH2JYc9izMPZ5OfCLPhyANPE0QxXO9oR3E9F5B5os3R0Dgt6LA4cjqd/Otf/2LdunW4XK2L8AmCwJw5c46LcRrHH0FVSXKY+OOV/feJGhWLUUek3UR9fWsvjCBAgzvAN0sKuHh8F76Yl9eiMOPuvfX06RLLxnaCirukOZCNPVARafIGefD9Xfxu8m9JswZQXRUIEbE4klPZXC5T5/S12PZ3F/Vm9rICvllyIN29ss7D67M2c9nZOazZVU3/sybi3zIPxe/BuWY20ePCBSZ9xduoLM8noucoHKMvRXCkMGOLwhcLd/CnawaSX+Yk3mFpszcahIWHybWXKr+Dr9aWsjGvFpvFwDnDMtBJAq/O3IyiqPy0roLunbIZXJ6HmNIPjzEB3bS/QtlWdDW7UXqexwcrXSz64kCA+LJN5eSmR3PvFf0OWwVbL8LF47vwzHtr2lx/zpB0QkFNGh3KmdA65FBS4yJYuqWCkKygk8Qjb6ChoXFYOiyOHnroIebOncuoUaPIzc39JWzS+BmIkkhAVgABvQSq3PrhqygqIrD/FqocpsigXi8xb03Yo9OlUxSfz9vdYv32wnqumdyNnUXLW7XZGNU3he0FdcRk5FK7z5HibArw9Ke7MBkkIiOMuNwVPHNdNH2jFd740xjW7WnA4w3SMzsWs0nHqzM2tWnXrAV53HN5f/Y0SMRNfRhpw0y8u1fj3rmKxCsepnH9TwQqCwm6alGyhvHj5gBfLAp7qwQEdJLA0k1lXDA6u1WhSVGAOy/ojMcg8qc3Nje3JKms85BX0sCwXklcPjGHD34ITzF/sbySHudFYREFVFllZ53EV6sjyE4ZS98mC4vWt55G3FFUx5odVQzvHo/cxmcEIMsqXVIjmTIyk68PEoiSKPC76b2xmfXH1MPtdKa5dcgZFHME4WbHwVAZBeUuuqRGnWhzNDROeTp8B1m2bBkPPvggl19++S9hj8YxIooCfgVmzctjwboSFEVlWK9EfjOhKxad+DNSvoXmZrKSKDAgNx5RENhRVEejJ0iTJ0BxRSN/vm4wizeUsq2gjgiLnvEDOyErKm/M2sy4e0fw7uzNLfbqC8j46jwkxVrRO4sp//xlEq54hCG5WeH6PUqIvbXuw2bXqWo4MPmpT3fx9C3XIPecTnVAZvGuIIMHXo0a9FFQ46epTuKsEXHkdknmza+3sXp7JSN6JzNnVTFXTMrh7kv78ePKImoavGSmRHLZWdlY63by8k9Kq15tAMs3lzN+YCeMegl/UKbO5QOLA1UNT112z4zmy4V7UIGF60vbvbLfLStkYE78YYs8iqrKhaOyOGdoBrtLGjDoRLJSIpvjkjRa4t3XOsRyBlTHPpgEhxmDXmRncYMmjjQ0jgMdFkdWq5XU1NRfwhaNn0FAgQdfXdYiJXzBulLWbK/iubtGHVvKtyjQ6AsypEcSyXERGA06YqPMhGSVW6f1xuUO8PY3W4mNMvPXN1cwtGcS4wd2wusPMXNBHhW1Hvp0jkWnN9AtM4Y9peFpWItJxwVDkxmSbSHOpkM0GPFMuo26H94g+uIHcasm3D4ZlcNPD9itBnSyl8mDEqlz+thW4uen1cX8+dpB/Pm/q/D4gtxwQU/MBom3vtpKSFa4bEJXBEHAZtGzt6qJD3/YSVyUmTH9U3HYjHTvZMW09FVCfaayeU9+u8feVlBHRrKdnUX15HSKxGK3o+wTK3pU/nzdIEqrm5i1qP19+INyWAge4bMRVBWzTqBvVrjIn6KomjBqh/2Vzc80z5EoCqTGRrCzuJ7zh2ecaHM0NE55OnwHufLKK3nzzTfp378/VmvbPaM0fl0kSWTF1spWtXIgXFDxhxVFXDgys0M9ugRRYE95I0++s5qnbhvB8s3lfPD9gUzFuauL6ds1jtsu7sPq7ZVcMCqbGQvyWLLxQAFJi0nHtLGd2VZYz+jeifRIj+S7lSXcOjEJ3eqP8M1cTy0qojkC6/BLsY+/HkH2kVcRQK8TsVuNOGzGNgOSM5LsxBoDBGb9jbMj45FXNpJ41t1kJPfkja+24nIHuHVaL9Zsr2Ttjqrm7dbuqCIrJZLLz87h0gldsetldhXWEBOtp3O8DmXxKwT2bkXf54J245EgXA1bUVREAa46uwvBjd+ii0wkIqs/TbIJCZXOyXbG9Etp7vd2KMN7JWHUiUf9uWgFH4/M/u/KmdA65FA6xUewfJsWd6ShcTzo8B3kqquuYubMmYwZM4bMzEzMZnOL9YIg8M477xw3AzXaRhDAJAaRQm5Ur59+ySLnDUnmu1VlrR7oK7ZWcO7QdHQd8B4FZJXnP1yH3WqgstbDwvUlrcZs2FXNoO4JDOkeruTcPSuGH1cW0tAYIDfdwYBuCfzv661cPrErUWaBCL2RP16UTeOMv+GrK2/ej+JtonHumzgm3waxycxbk8/KrRWkJdi47eI+vPDhuuapPQh7jP5wcTcCXz6G7KrZ16YEdD++SNrUx9lVXE9MpAmjQWohjPaTX+qkoMzJuFwr/lmPM8Qei2gZgGocTaD/pRh6OtHXFzG4WxwrtrUtbLplRLN8czmP3TgIe9FCXCu+AsCU1oOoyXfiVkwEAjI9s2JIiYtorm598DlMGpquNZU9zjQ07fccnVnTahAWRws3KhRVNJKdEnmizdHQOKXpsDh6+OGHKSgoICsrC5PJ1Kq/k9bv6ZdHECBC8FA3+xV8RVvCC0WJKT3GM+Dy8fzto+0tBJLFqEM8KEZF0on4QwqyEo4jMukk3N4gAVlFJ4koskJ1gw+vP8Soviks3tB+3My81Xv587UDeePrbWzNr2VozyRS4mwUlbv4ekk+8Q4LyXFWNueVMig7Al1jHcGDhNHBuBZ/TFRyd1bua3FSXNnIp3N2ce+V/SmrbqLG6SOnUySZJid89wRBZ0vhE6ovR95Xn6l/TjzLN7V9HIBF60sZZQc15Ifh1/LesjqWfhOuRB0TaeKGs7ty9cRIthc7m7u87+eS8V1IipT4ywQD6sKn8dQeuD6+4q0oznIEezh2yqQTePzWYXy/oog5q4oJyQojeiczdXQWZp3QbjC2xrHR0OhHFARMZ2CH+oRoCwadyI7iek0caWj8TDosjubNm8e9997LzTff/EvYo3EUmAU/NTP+TqCq8MBCRca/+SeSdXrG9u3JvPUHeqhNGZWJXgw/iBVRYP7aEmYt3EOjJ8it03oRYzfx1eJ8Gpr89MyOYcrILHT73ExGvdTCa3MoHn8IRVG5fGJX/vDPxfy4sqh5XVSEkTsu6YPSVE/3ok9x53mxZPZud19yYx0+b8t0/t17G/jbW6volGDjtum9SXQYkdfMw+1s7dGRIqKQdCIOmxFJEgkdxisTDCkY03ohRNzNk7NKKK484Nmpdfp49rMdPHzDIJ67YwQrtlaxalslkREGzh+RSVKkhPOt21GDbdcf8mxdiHF0FwKBEKoKcQ4LFwxPZ8LAVFQVjHoRJaRowugXwNnkx2rWnTGtQw5GEgVS4qzsKKrnvGEZJ9ocDY1Tmg5PTBsMBnr27PlL2KIB6HVgFb1EiB4suhBGo4RO1/JjErz1LYXRQQQ2z+Hcvgeq5PbLiadHZky4r5og8P73O3nvux00eoJcMCqLonIXT76zmi35tZRUNfH98iLueXEhekkkzmFmZ3E9fbrEtWvvkO6JGCQRm0nHM3eMoHtGNGajjjsv6cPtF/cmxqxiXPM+geItKG4Xki2m3X0JehMuX2tBExVhZFivRKJsRjbtqWeVeRTKZf/CMPp6EHXoohKImXgDCdPvx2qA687rztb8WgZ0S2j3WKP7JmOw2qkxpLQQRgfz2qytBGQY0yeJey7tw81TupMQacQkBBGk9t8rBJ0RaCl8FEVFB+gFULR2H78YDY3+M3JKbT9p8TZ2lzgP+2KgoaFxZDrsOZo6dSofffQRQ4YMQRS1oL/jSYTkw7PhJ6rWfY/i82Dq1I2oEReB140pMQuvaENVBULO1nE0+1FDARxmmDQkjdH9Uol3mJsLDfqCMgvWhWOHRFGgb9c4/vrmylb7CIQUXpu5mXsu609huYte2TH8uLKoVcB3hFnPOcPCcTOiCGnWIPdNjkO29+HZD9dT3+jnuWu70lCwAYCQqxqdLQbBYEIN+Fod19b/bD7eUI/VpGP8wDS6ZzqId1ipdflYubWcmQvy6J+TQEWdhz+8vJxBufHcfOkT2AUvtT/8l+BPb6FPySVl9J3cdEEPZEUlPdFGUUVji+M4bEYmDE5HEEV2FjvbvZaVdeHiTPt7l8n75ir9khlrr3E0rv6mze2sPcfiaaMEgMYvT0OT/4wMxt5PWkI47qiwvJHOqdrUmobGsdLhu4jNZuPzzz9n/Pjx9O7du1XGmiAIPPnkk8fNwDMFq+ij7qsX8Jfual7m27uNik92kDD9Pqo/fYLYKXfhs6Ye1vuCqCMyysbVk1IJBpXmGDBBECg/qOFsSlwE+aXtCwOdTkSSBGYvK2DGgt3ccUlflmwsY8mGUmRFZUTvJH4zoSsmKTx9YQnUUPHBQ+iTuzI/4jx2FYdr8khKy6mnhqWfE3/BXVR/8wqK74DHxtx5AKa+53ChYmbSiGw+/GEnOekO3vx6C9sK6prH/biymHEDOnHVOd1477vtdE5zMDjbgTLmLsyNJSjrZ+IoXkh07jjciokHrhvMsk1l/LQv3mdUnxTGDkjl07m7sZgkslOi2r0GRoOETmo5PaMIAi99sZkrR41Bv3s1oYbKFuv1PcbTpItCFLQ6RCeCepfvjBZHCQ4LRr3E9uJ6TRxpaPwMOnwXmTFjBpGR4R/dli1bWq0/E+f6fy6CAGpjVQth1Iyq0LBsJrZeY6ie+TxxV/4NrNHoohJaPZgBInqOJiBYCBxSrVpVVaxmfYu/2/usRFHg0ok5PPTqMgL7vCZ/e2slw3ol87vpfeiSFhUuLCkrKIqKWQrgXPophsQslJ7n8t3nYbsCIQVFZyZcyGef16V8D/WLPyP23FtQ5RAgELQns2KPl3f/sZY/XT2QJ95eRVqCjco6TwthtJ/5a/dy35UDsFsNfLUon3hHT176dBv3Tu9Cv3N+i2/7Etj4FfFdh1AvRxMMyZw3PIMeWWEP2O9fWNAcsP7k70YwvFcS1Q1edu9taHGcSUPSMO4LUIdwyYQmp5NrR0ajU9xEXvQnQm4n3jVfg86Aue8k1pZLvP7yal68ezR67afwq9PQ5Cc9IeJEm3HC2N9nbXthHVO0ekcaGsfMMQVkaxxfdDoJ376pp7bwl+0mcuhU5MZa8DfhNcYT/5u/UP3FM81NVwHMXQZiG/EbmuS2pztj7CZsFj2NniBl1U1ktZPRMiA3ntVbK5qFEUBIVlm8oZTFG0oZ0y+F6yZ3A0CSwKB4MXXqRqi+gpAjEY/vQJbYTxvrGZUzBO/OFc3LApUFVM18AXOXgexKu4gX392GrKicPSSd71cU4g/IDOuVxLw1rbvb72fZpjIG5MYzf20JJoOO+y/pSqf8WVTNXd08xrXmO6z9JhFlGsaqXQ1UNXj5bnk4YDw90cY1k7uTV9KAxaRjYLcErpiUy2dzd7GtoI5e2TFcMDK7WRgJAphpwrv0NfxFW5CBKsDYZRDisGuYsbwSz4oAJoOExxeiqKKRrin2Nm0XRQFBEJBlBc3BdHxxNgWwpp+5MUcAaQk2lmwqJxiS0evOvKw9DY3jwVGJo/z8fLKysjq88z179pCdnd3h7c40VFVFNLX/tivoDKDs8wTJ4ewwtxhJ9CUPIfobkX1upIgoZMlKk9z+g8EoCTx4/RAe/u9y9JLIpt3VTBvbmZkL8lqMS0+0syW/7UayEM4gC8oKRknA7K2k9KNHUfd1oTeIZvp0zmTtzvD2Hy8spte104lC2CeQwkrAlN0f8+jrePmfa5tjefp0iWXBupJwSrJewhdoP0vOGwiRlRpFWqINo0EkyVeKf8/qVuPc63+g1/n9MdlS+N+32wCIc5i59rzuPP/hOkQBTEYd9S4foiDwlxuG4LAZsRgkRPWAODQJfuq++Rf+vTta7N+/ezVGQcJuPouSUg8ZSWFBVOvyIRwyrSEIAn5FpbDEicNuQhQEGt0BYqNM4XILmkr6WQSCMl5/6IyeVgNIT4hgvqyQV+qiW7rjyBtoaGi04qjuIrfccgsTJkzglltuITo6+ojjy8rKeOONN1i4cCFz58792Uae7oRCCrbsAdTPe7fN9dbuI3DvWoWgNyKY7aCGs588mEBvAv2+bLIjJKgoikqiw8Q/7hlDSWUTLneAbhkOBndP4KvF+dQ5ffTpEss5Q9OpafCyo7C+zf3EOczoRAGT6qFqxt/DwkgQEc0RyNsWcPXkEVQ7/biaAjQ0+fnLO1uZNnw8Z185HaMaoN4vsLkqRN0mJ76ATHqijTsmdyI2mE92SgFKzzSUBDOFXeOZs6q4TRv6do2jS6qDrGQbRsWHuvWHds9bt3MOfSfcRnCfJ2zq6GzmrdnLnZf0xesP0egJhGOwypz88+P13H1pX7wGHbF2I8L+2lBBdythtB//rpWMmD4VvcXKqn01mrJTIpFlpTnTUAV2ljr53zdbuf3ivvzrkw0tCkP2yo7lrt/0aQ6e1+g4Lne4HtWZnK0GEBdlxmLUsb2oThNHGhrHyFGJo1mzZvG3v/2N0aNHM3ToUCZNmkSvXr1ITU3FYrHgcrmoqKhg7dq1LFy4kGXLljFp0iRmzJjxS9t/2uCXIog597fUfvdqi+X62FQiug2n4rNncIy/Br9ogQ4kQhklGb3sRvU1IehNNIaMPPa/LVTUHgjOPmdoOr+9qDf+QAhRAKvq5oLhqc2ZbYdyyfguKKpAqVskOO6P2O0WFFmhrLqRpOQ4ggGF84anYzIaMBkkvly0h9gYO4rZwW9fWobbG8RhM3LVud1IirHywNQkgl8/jst3wCbRGsn0S59n+aYy3L6WHqTEGAsJDiv/+2YrF4/vQl2ti8iDtj0U1efGICoM65XEnFXFZCbbiYk08c9P1reo4TQgN56bpvZEBR74z1LuuqQvfbNjUBQFxes6zFVWMagBMpNj+OD7HXRJi8JhM7aYL3P7Zf7+3hp+e1FvXp2xibKalvZu3lPD/77dxk3n9wBFS8M+Fpz7xZH5zPYcCYJAp4QIthXWc9HoE22NhsapyVHdRSIiInj66ae5+uqree2113jssceQ5dZPaKPRyOjRo/n444+1WkgdJKBIGNIHknTTi3h3rkB212NKyUHQ6XHV12G45mVcgh6DLGCUjq4fV4Tkx7XkI2q2LIJ9U0SGhAwe/s1tPPhBXribPPD9iiJio8zklTRw9YgYfN89jSlrCLdPGcZrswuaa6aIosDlZ+dgNeu576XFza0aTAaJ+67qT2pGKi9+tI5dxQ3NNlhMOh69cQgpShlVDbW4vcHw+QZluiZbeO6G7oR2LCLq/DtQlXCAtnv7MtzblyEu/A/P3H4bH/20mzXbK9FJAiP7pjCsZxL/+GR9c5PRTcUeenTqA/UHCl8ejDlnCAFFz0Vjs1m+uRyb2cBf31iJ/5B0+7U7qkiJi2Bk72R0osBrszbzj9+HA6tFc9vxQ2EEIh2RPPrmFiYMSuPSCV3QobaodLR6eyWiKBAZYWwljPazYnM5V03Kbc4A1OgYzZ4j45ntOQJIT7AxZ81evP4QZuOZLRY1NI6FDv1qevTowb/+9S88Hg9r1qxh7969NDU14XA4SE5OZuDAgZhMpl/K1tOegKIjIDrQ9z4fvSQgyT7q/CKvLdrCho+XAeEWAbdc2IuMhIjmKZ+2MOhUmtZ8jXvzgpbHqCxE98Pz3Db5Lv728c7m5d8sKeDRa3sjLn2VQFM98qbv6ZHTyEv3XM+OkkZCIYWYKBN2i4E/vrSY0EHVnS+dmIPbI/PxjztbCCMAjy/Eo2+u5Pnrc4gXGrjl3Ex2l7u5cXwSUlM+huhk6mqKaFj2BagKgt6Ire8EYs+9lZrvXidqeC1Ws47bL+lDjN2EIAq4mgLccUkfKmo86HUiS7dUcemtZyHsXNwc+7QfKcKBufMg3IBeEnnx96PZkl/bShjtZ87qYs4emh4ORg8puNwBYiIMyHorxuSu+MtaZxRaug4ioLPyxG+HoygqqqIi6kXkgwLaq+o9mI265gd4Wygq+AMyZosOvT4cSBsKKVrD2aPE6Q4gEBbkZ/rsZEaiDUWFncUN9O0Se6LN0dA45TimVwqLxcLo0Zq/9pciGJQJBiGInr+8urTZwwPhwoSPv7WSp343giSHqd0Hp0F2U7fuxzbXhRoqSTZ5MRkkfPtS/hua/CRYZKqKtzaPE3V6ZizYzbKtNYiiQJdOUSTEWFsIo04JNkwGCZNRYummsjaP5/GFKKkLkrTsFQYPmsqYUV0I7VqKaorAueIr/CUHYnnUoB/X6m+xD5mC/TePEDA6SI1XMegk5qzey8J1e5vT8NMTbdx1aT+i7Saem1XE/Rc8DOtnENizBkQRa/eRRA6/mEbBxo8ri5i1aA8TBnfCaja0e+09vhCoCn+4uBuz11SEe9IBPtVIzAW/p/abf7Ww15TVH/tZN9CoGpm9rJD5a/eiAmP6pTB5eCaGfdv37RLHd8uLcNiN7R5brxOJsyro3KW4N81F9fuw9hyJIS4dr2AhENI8SofD5Q5gMYX7CJ7prVmiIoxERhjYWliniSMNjWNA87eepEiSyJb8uhbC6GDemb2N+67o327/FzXoRw2176VQG6volR2D0aCjodFPozeAILcs2KhkDWfBB2XNKf2xUWbKDukuP35gJ75bVsgVk3JbiKZDqfMopJisWCIikGQ/NSu/JuGiP7QQGgfTuPYHQikj+cPfF3PeiAycTX7mr22Z2l9U0cjT767mxgt68PS7a/jD27u44ZypjJl4PagqQdGMW5X4bkUhn83djSDAOf3jqW5qf0oyIdqCqkKtR2XysAysZj0WyY8Y8qFIBuoG3ETk0ABi0IesN7Ms38PsV9Zx96X9mbUwr1m4fbkonyUby3jqthFEAhlJduKizJRUNZGb4Wgz2P3Rq3sSWD2D2rXfNy9z71iGISGTmEk3YTRH4hZsmiepHVzuABGW9oXvmUZ6gq3NOmEaGhpHRuv/cZIiSSIbdrdurrqf3XsbUA4zdyDojeESAG2gj01DzBhITno487BLmoM/XN4fOeBHsh3IRhREidBBD+KaBi8pcS1LDjhsRirrPYBKlK19r0h2p1gsOUPQJ2Qg+xqRTFZCrtp2x6uhANI+sdY9M4Zvlxa0Oa663otVr/KvW3vRKzOSzpmJuBULTYoFf0jAF1L4alE+AL+dnIVp69ckhspIjLG0ub9LzurCCx+t553ZO3jho/Xc+fwCdlYGqfnpLSrfuofokoXUekXueKeIO17fzjtziqiu97FhVzWXnp1Dz+yY5qratU4fi/ZVFDfpRP568zAKy138ZkJXBnVLYH8NTp0kctHYbLLtfhoPEkb7CVQW4Nm1ioZFH2Cl/cDzMx2nO9Ci0OmZTkaijfI6T7svWBoaGu2jiaOTFFVV232AA0TbTYQrT7dNULJi7Tep1XLJFkNg/O+575WVvP/9DpZsLGPmgjz+8I9F7HKacUy8sXmsULKRQTkHXPLrd1UzqHtCi5YaFXUe0hPtGFQfV45La9OWLql2ogQXaihA1YznQZZR/B4ky2HaGwgiihh+0Imi0Dz91xZl5bXoFvyL348xEWsVm1umQHiazB+UibIZ6R3jw73+B+T5r/LIJZkMyIltFihREUZundaL0uomCsoOZKYFQwp/e3sNwsgbUAM+/Gu/Jm7nDK4aHz5Xs1HHXy7LYWJqE2eFFnF750L+dWNXpg1PBmDJhjKaPAFUVUUvqFwzKYfkaCs3Tu3By/eN44W7R/PSvWOZPjYb98Y57Z5j09YlmNN64M1bgyRpP9u2cDb5idDEUTPpCTYEYGuh5j3S0Ogo2l32JCUYlBnROxmxHf1z4dhsjIfJavKHBKwDz8fYYywIBz5m/ahr+MeX+c1ZY/uRFZW/f7qdJlMicVPvxpCYSWDLHK4cm9yc7aIoKl8u3MPvL+/f7CWas6qIqaOzyIrT05Nd3D6lM1ER4XU6SWBs30TunZyAsOV7ZFctofoKRHMEqqqgBn3o7HFt2m/sPIjFOxubj3u4jJvkaBOyq5bqL57FpLSc9osw63nyup68clsfpB0/hc/V3UDwy8e4KaOQl27swovXd+HpWwexbFMZMxfsabX/YEghr1pGFxkPQCBvFYOzLOhEeOyqXFI2voXvm2dwr/+BwOqZBD//C2dHFzNteDJGvdQctxQ+GRWDCAbALAlEmXUYRVAVBdXvbXXs/ahBP4Kkw7NjGXrany49k3G6A5o4OgizUUdijEWbWtPQOAa0mKOTGLNO5P6rB/LcB+ua0+kBRvdLYUj3xCOm83sVE55eF6PLPQed7EWVDLiMsRSWL217vD9EtVeEjfNQx92B2x0g6JF5+MYh/LiymE151dQ6ffgDIZ783QhKqppQVZX0OBNGZx6+/BX0FNfw5IVTCOgj0AsqUv5SArMWYBl5Me4dywFoXP8T0eOuCvdYm3wrNbNfI+Q6MIVoSM3FPOoq1r4XjkdavKGMiYPT+Gpxfiub4x1mYgUngX1Zav6925HShyLLCkZJRvK5sZklGj1B1IMa3Rri0ohMTkMQXKAXUISI5jo5bVHr8tHZZIV9vXqFxipG90smqnQZ3srWgiqw7EMmTH+C7MxEbBYD9f5gqzEHEwqpWHqMwn1Qm5WDMWf3xVeyE9FoQRW0d5q2cGniqBXpCTa2FNShqGq4GbKGhsZR0WFxpKoqn332GfPnz8fr9aIcUrBOEATeeeed42bgGY2q0jU1kpfvG0thuQuPL0Tn1EisRh3CURQKVFWVqEgbLp+ZL5cXUl5Ty1XnHD5zJSALKAE/24pcvPxNOM5HJ4mM6JPMRWM74w/KzF5aSKTVyJNvrwLglTv6IQgq0Wddg+JtRHY7cS75gGBtKSFANFkxxKdTv+BDADy71yBZIok5+3rc+RuIufAegoEQjbU1YItjW5XC1x/u5OrzuvHxj7tYubWcuy/tx1mDOjF/bUlzQHJGkp37pqYhf//3ZvtDjXWIwr6puJDCK18XsHZXLT0yo7m9e38kZzURE25GrwSo+fENFG/YOyXZY3novN/y74V6NuS1ftPO6RRFcN2BRr9SXDrXpupwffByu9dSX7yK3kMuOeLnBGHvmBSfhSE+g0BVYYt1gtGCrfc4Kj97hriL/4RfkQAtKPtgQrKC2xfSArIPISPJxoptleytbCI90XaizdHQOGXosDh6/vnneeONN0hNTSUxMbFVZ3f1TC8wcrxRVAwC5O7r06Uoasc6laoqdqPElRO6IKsgyyEiIww4m1p7SUQBkqL0GHNHkRMf1bw8JCssXFfCwn0Vs1PjI0hPsPLoFTkYDDoiG/Op/ul/KPs8M7rIeGImXkfDii9RAz5iz72V6h/fbHGsxo1zadq2lNgr/8aWeiN/f28tFpOeRk9ec6+15z9Yxx+vGsBf31zJ/77ZyjO3DWfi4DR8AZkos4CxbAPy7CeRmxqa92vo1I2gqiKJMm98k8faXeGg760FdajnDUFOG0RIacT52TMt7JFdNXi+eppbpj/BHfn1LTLCslMjiaYB3z7vlHHcTXy/sYGB6UYiDqmrdDBSwI2+AwUdPaqZmOl/wrtlPo3rf0INBTBn9cXWZzx1897D0mMkQlSqlq3WBo2esGfueHmOFK8LuXI3qrseQdQh2OORErIRdO0nHZyMpMRYMehEthTUauJIQ6MDdFgczZo1i+uvv54//elPv4Q9Gu3wcx+IoX3p+HZdkJsnZfDcF62LGV4wLAVdfTGLvJ3pJVk4d1h6cxf7/YiiwG+n9SZKdRFc8x8cY66g6ouXWh7LWUXVrH+QfN1TBCoLQBAI1ZS2YZVKvWLl45+2EwgpBJpalhLw+kMUljl5+KqeJBq9KDMfJmr877j7nTymDU9hrHd9C2Gkj08nYI5FFAS8QYH6Rj+ZyXYKylwIAtSHTGzdUcqYxm/avkhyCGPhUs4a2JOfVpWg14mM7pfCZWd1wfvenQDoouKpjenHzC9WYhqbxpj0XvgLN7a5O0vXwc3X/WhQVWiSzeh7nUdCjzEQ8hOo2IM7fyPR5/wWxezAo5xaD+dfi/3FNSMsP08cqXKQ4Pb5hIo2ACCYbSDLqP4mkPTo0vuh7zIcQX9qFLuVJJG0BBub99Ry3rCME22OhsYpQ4fFUVNTE2PHjv0FTNH4NQiqOrqKxTx+TXfeW1BOYZmT+GgLl4xIIkdXgj22MyOS4jHoBKaP7Uz3zBi+mB9uNZKb7uCyiTlEWfXICNhHX4FrVdtCQ9drEhVeA+uq4glVqfS54HGiJC9GZzHeoq0Ea0qwXfgn/IKBvZWN7dqbX+ZinLIF1+rwcYybv2Nc35F8ubyM0VefD7tXgaTDkDsS2/BLKG3UEa1TqWzwkZ0ahc1i4JrJ3dlRWMfaHZVkREqECve2e7xQZT5XTTqf84dnoJcE9NU7sAWrCfY9H2t8ClJSDu98uRuAb1aVM+bqS2DvVpBb9n8zxGcgxnQ6Jk9qMKQSxIogWdFnxKFPH4onJO/vAKPRBi7P/r5qeo51ylHxuwms/BSlqRYprTdSQmcEKSy2VL8HuSqPUOF65NKtGPpMRorPPl7m/6JkJtmYu65UayWiodEBOvxLGTBgAOvWrWPIkCG/hD0avzABRSIqqwehWc/x+z5jYEwKeOphy3/RJ3VG6ToQVQZ/SEUvQp+saHLTBqGoKnpJRFAVVEXFK5oJWlMI1LQWGvohv2GRtwsfv7S6xfIxfRK4alASYt9MrBFReFbOQI7JJCHGQnFF2wIpI1aPvzyv+W+lKp/MruP53h/CbUpAuOAJRJ2OgMXO9xvrOGtQGt8tL+THFcXNvd9EAR69ZRifz92NCTM5UYnIrpo2j6d3JBBY+AbsXEUQEFNzWZ59FRX+HnQhCneBm6Z9D+JGT5BX51Tz22mPoq7+lEDRZgSDiYh+E7H1P5cmxYx0LB/SPlQVAocpYaBxgGbPkdmAz+s/wujWqCE/gRWfoPga0feciGiNarFeMFrQdeqNFN+ZUP5q/Ks+Q995GLqcUQgneYB8ZpIdRSlhe1E9/bu2nR2qoaHRkg6Lo5tuuok//vGPhEIh+vTpg9lsbjVm0KBBx8U4jSMjCIAoEpQVJFFA4vBTcAoC83cH6DHuTqQ9S2H1x4hmG/phl2FO6cwbPxayaH24cOHQHolcOSkXq0EMN4pXlOZ3cncgxLrtNQx2JOD3HhA2gtGCK6EfH7+9vXlZQrSFlLgISmv9bK93kJoQgWX11/g3z0Ufk8JlI3/H3z9vLY50ksjQbCv+9Qd6wImR8dQ0yhh0IlaLkZAxCUkQwu1PYiJ4+bONGPQSN0zpQUOTn7e/3YaiqMxZWUxslJnv11YxZvoFULyljYspYs0ZSsXn4XgkwWRFf84fEIrdFO0up6Dcxcg+yVx5Ti5/fXMl/oDMhj313F/h5vzBF9Cz1+XYI4zoY2OoD6gYtXpEvxoudwCTQUKvE+loyUMVFf/G2SieevQ9JrQSRgcjGC3ockcjl20nmLcC2VWFsf8FJ3UsUlSEkWibkc35tZo40tA4Sjosjq6//noA/v3vfwO0CMhWVRVBENi+fXub22ocZwSBBm+Qz+btZk+Jk7goM5ec1YWUWCtiG9M5ggB17gBBWaXcb0GXPglb7mRcTV4Wbayij7eJzXk1BPfFySzbXM7G3dU8f9doDAc95/V6ieXrS/lpdRWDz7sQyp5rXmfsPJDPN4RbY8Q7zNwzNYNIbxlS1WZkWzxiQid0ViOeLXMBCNaWkhnK44px6Xy6qLi5BYndauBPV/bFXDqfpoOmSdRek/nx80rGDkjF7Q2we6+Tgd0SeH3WZooO8j4t31zO8F5JXDu5G//7Zhsrt1XwyI1DmLdmL/PzYdzo6wgs+7C5xYpotBB7/u0E6yswjbkOrDGICV14+cvtrN95oMzAqq0VdM+I5u5L+/H399YA4Qfzh/OLMRt1PHrzUP74zAIkUWTikDQmD8849s9X46hxugNYTccWbySXbEUp34m+68jDCqP9CIKALqU7osVBMG8p/iXvYRg8HdHiOKbj/xpkJtnZvKe2+R6toaFxeDosjt59991fwg6NDiJJIgWVTfz1zRXN/bwq6zxsya/lmsndGNs3GQ7xIEk6CV/Axw8riprjfOxWA7ec14UruvsQIrzcMbULD7+9qXkbty/E7OWFXDQ6C0VWkCQRoxSkzuWjqt7Liop4hg6/Av/KT0EOoRpsNLhD2Cx6Hrk0C/W7Z5DlEGJ0EpRuw7/sIyIv+T/k5M749oZFdGDR24zqPpYRN06k3itistmJNKqw5Tt0PcZhVgUCW+ej630ui4oEctOjGdozia0FdaTGRzBv7d4Wwmg/yzaXM6x3EnarAZc7QH2jn1un9eKNL7dQ0i2Gi6b8FYvciNlsRDbaKfIb2eONZcG6UmIiVYb3bmohjPazrbCOcQM78buLemMySBgMEl5/iIRoC6/P2ozXLwMyMxfsYc32Kv56y7AOTa/pdCIKIAoCckg+4zvMHw0udwCruePxNGrAS2DLHMTYcIxYRxAdSeh7nk1oxyJ8i9/BOOBCpNiMDtvwa5CZZGftrmrKatytWgBpaGi0psN3k8GDB/8Sdmh0EL+s8O/PNx6qfwD44PsdDOuZhPEgb48gCHiDCk/8bxVe/4HgYZc7wHOfbuVv13Qn6ru/k9x9DFeN78H784qbx6zeXsn5wzOI1PkJFm+mfvN8+udcwXfLYelOJxGD+9LjyuEIjVXojBYGWaBvuhXdus+wjbkcBBF/RT6SNQpjQjrOtd8TOWRKszgCCGxbANsWYBN1JF/zOLUBIysMI1g+cy8RpgwumPgYMZEmujgDBIRaKus8LF5fwu2X9GXuqs3tXqeVWyro2zWORetL0UkivbJj+Pcfx1NQ5mSvW8Zhj8Rm1ONsCvDu7K3NrUNy0jOZs6q4zX0a9RLx0Wa25NUye3khbm+QrmkOLh7fmcRoK3tKnM1j91Y2squwhl7ZMYRCbe6uGVEU8CuwalslK7dWEBlhZPKwDKJtxjY9gRoHcLoDWI4h2Di4czGoMrqMfsd0XNFsR99zIqHdy/Cv/AR9zih02UNPujikTvER6CSRTfm1mjjS0DgKjupu8vLLL3PJJZeQkJDAyy+3X/QOwg/h22+//bgYp9E+Hr9MdUPb7SZkRaWspomshAj0goxB9SI31rKkUNdCGB3Mh4vKuaPnJNzLP2L4tD58ZpDwB2Qykuxcf1YKDqkJ19LPadq0AIDM0WYeu3kou/Y2sGhTBet26RnRJ5my0iaG90pCcVYRpZtE7Zx3CR4ctC3qiDvvt6A3IZojULwt230YYpOp08Xzf/9dQUPjgcDatTurGNMvhaS4CJxNfhw2I+cOz6Sy1kPwMJXCQ7KCWacnK8VOekIEP60Oe5n6domlW2YMb365BVGEEX1SWvRUk0SxeXrxUK49rzsf/7iL7Qf1rNpVXM9T76zmj1cNZE9pAxW1B+ofLdhQTv/MCHxH+Ll5Qyp/eXVZi0ahC9aWcMWkHMb3T9UE0mFwugMkHaYXYVsonnpCxRuQOvX+Wan5gt6IrttY5JLNBHcsRq7Yg6HPJERb/DHv83ij14mkJ0SwKa+Wc4ekn2hzNDROeo5aHI0ePVoTRycRRwobkEQRgxhEyV9F+U9vYek2gq31w9odX1DeCCNSwtvmL6VPl350ckhMTPMir/gXSszt+NOGImdOQK+TCJoc/Oud5dQ6DzzIl20u5/wRmaDIJEZbcC7+qqUwAlBCVM9+leTrnsaYPQjvlvnNq/RxnYi84F7+O2d3C2G0n4XrS3n2rlHUNHgxG3Qs21xGhEnP8F5JzF5W2OZ5DchNoLLOw/RxnfnTK0uJd1jQ60Q++GEniqJy75UDKKtpYuH6khbbbc2vZWjPxBYCCMBi0uGwGVsth3B22adzdnHusAz+98225uURRoFg+W50CT3arXskSCIffLetzQ7qH/6wk2E9k7DqTy5vxMmEyx2gc4q9Q9uEdi8HnQEpqcvPPr4gCOg69UaMTCKUvwrfov8hJXdHnzkAISoJ4TBNon8tspLtzF1XiscXwmLSUvo1NA7HUf1CduzY0eb/a5w4LAYdqfERlFQ1tVpn0IkkxVrQeyoo/+G/ACjuejpF62i7c1c4owx3+IEv+JtIi49gYmINvu//hXHU1SwvM/DW7Bpc7jLGD+yErOxqIYz2883SAgZ1TyAhVsW9c2XbB5NDBKuLkftciL3vZER/IyarlZCzCo9iZPHG8nbPe8n6UsYNSCXoquGibDemYAP+jBEs2VjWnM69n86pkXTuFEVKfARzVhdz96X92F5YRyAoc8GobKrqPbz9zVZ+N703K7a0PGZeSQOXnNWFpFgr5TXu5uWp8TbyShrata+w3EVCtLXFsom9ovDu+BZjUs92t/OHFJZtbv+81+yo5Kx+KR0qKnmmICsKbm+wQwHZiq+RUMkWpLTeCOLxEwqiPQ5973NRKvOQy3fgK92KYLIjRqciRkSDwYIg6cLNoAURJB2iwQIR0eF/f0GykiP5aU0JWwvrGJR78ni1NDRORk6q14fXXnuNJUuW8N577zUv2759O0888QRbtmwhOjqa6667jmuuuaZ5vaIovPzyy3z22Wc0NjYyaNAgHn74YTp16lhw5amGXoS7ftOXh15bjj/YshbO7Zf0IUIPriUHCjT6irYy+uKrmLFEaG7PcTCXDE+Ajf8BQNd5KGMjIwl98xL66GRKrD34x4cHUt8HdkvghQ/XtWvb2h1VdBtiBaX9Gj0hjwtTrB6TsxR/RT4+QcCU2pVQY22bcVTN2ykq8bpGar77K36/Bz+gj/6eZ667j+82uVi6qRyDXmJ03xSyUiJ58NVlPHLjUHSSyF/fPCDWvlyUT7+ucVw2MYdgSGFozyR2FNa3ONZ/vtjEXZf2ZUdhHQvWlaCqMLRn4mEL6ekkEfWg7LppozOJqNqILib1iIHVhyvBEAgqcBJ4H05GGj1BVOhQQLZcsBZECSm+83G3RxBFpKSuiAldUF2VyA1lqI3VBKsLIOSnvWqegjUaXUp3pIx+iAZrm2N+DpFWA3FRZjbm1WjiSEPjCBzV3eRgMXIkjrXx7AcffMA//vEPBg4c2Lysvr6e66+/nvHjx/PYY4+xYcMGHnvsMaxWK9OnTwfglVde4cMPP+Tpp58mMTGRZ599lptuuomvv/4ag+H0bUKpKCpxdiP/uGcM89YUs72wnqQ4K5OHZRJp0SHIAULOgzKtVAVp3Wf8+bLpPD9jNx5fOPZIFAWmj0ghSykgUFeGPiYVS2pXTIjUeFzoRl7Lu3NbTo0JAq0aDh+MrKgoQT+6qARCDZVtjpESu7KqyEtOfDJWz3oClQU0LPkMY9/JDOveg6Vb2t5uXL8k6r54CPWgnmbBunL45H4uHHkZQy4bzu7SRlZtreCTObuwmnSoqsrn83a32tf6XdX0zI4lM9lOnMPM4vWl7Ck9EEzd0OTnvW+38cjNQzhrUBqF5S7mrC7m/JFZiEKrZEAARvdLprHJx5RhqYzpZifWrsf5wWdYbnqBxmD7YlEvCvTMjmHLnto21w/MjScU0gpCtsX+PoFH21dNlYMEizcgxmch6I5PL7a2EEQBISoRMSqx5fEVFVDC87BKCDXgQ/U6UZwVBPNWEtyzEn3uGHSZ/RE4vlOp2cl2NubVoCgqoqiJbQ2N9jgqcdSRFggdbZdQWVnJI488wsqVK8nIyGix7tNPP0Wv1/PXv/4VnU5HdnY2RUVFvP7660yfPp1AIMBbb73Ffffd19zS5MUXX2TUqFH8+OOPnH/++R2y5VRDVVSMIpw/PINzh2YgiSCHFFBUZJ0BY2ou/tIDBRSDe9aQ5Hfz3OWXUC9FE1R1xJuDCFu+J7hiMab+5+HOHMtv/7WWXp1juWLaYxDyU1y5p8Vxt+XX0T83gTXb2xYwI3sn4iuYh2PMZVR/+c9W642duiFGOIiMkHnkvU08dvlEjJ4ZIOSjVu7ksnOms2FPHW5vuJmoUS8xsFsCvbIdJFhC1Dlbp9ejyDQu+pCsmwazeJOHsho3DpuRyyflMHdN21lnAHNXFzOoewJzVxbxhyv6s62gjjmrilGBCQOS6O3wYPFWoepj6ZpiJzu5O2a5id9P78aLX2xv4Q1KjY/g0sGRiBtm0jfkw/ftNkwX3oPl8ocI6CMh0P5vQwRumtKT+19eTOCQqbPhvZOItBo61nD4DMK5bzr1aKfV5PKdEPQhJfz8WKNjQRAF2F/cQdKFg8GtUUix6ahpfQnt3UJw6xzk2mKM/aY0tzA5HmQn21mxrZI9ZU66pEYdt/1qaJxuHJU4Onia63izdetW9Ho9X331Ff/+978pLT3QoHTNmjUMHjwYne6AmUOHDuW1116jpqaGsrIy3G43w4YdCDS22+10796d1atXnxbiyGAI30RlWUVuJytL3vcwPXh1MKQS0ecsGtd+11zoECBYsh3KniDm4r/RpI9lze4aRg88n4rk0fy0qZ4V87agKCqLN5SRV+Lkkat74rCVUH9QgPS8NcX88eqBbM2vbZX9Nqh7Agl2CbFCD0YrCRf/ibr57xOsLQ231ug7EWvP0ajOCmIjO1Hn8vHH/21nytAJTLv5ahpVM+9/vZ3nbh/Kj8sL0JnM9MyKYcmGUpZvqcLjiWLoJU+hLniVUHXLprigEgr4aWj0c/nZOaCCzy/T0BSgPRo9ARRFpVtmLCVVTRj1EldPzmX9zupwVluMDn/xFiw9zsLlVfD6QtQ53XRONPLqXYNYuqWKOneIvhkRZHaKwfPRn1A8Ye+TZItGF5uKISoen9PH4Xp+qapKpEXHC78fzefz89i0uwabRc/U0dn0zo7RMtUOg9Md/m5ajzLIOFS8ETEyAdF88nWpF/RG9FkDUKISCe5ehn/VZxgHX3LcBFJSjBWLSceG3TWaONLQOAwnPOZo/PjxjB8/vs11FRUVdO3atcWy+PjwXHl5eTkVFRUAJCUltRqzf92xotOd2MwgWQWXN8icpQXUNPgY3D2BnlkxmHTiUXvnQpIDx6WP0vjjqwSrw94TfXQS0qgb+Xazm0E9o8jOSOTxj7a2mE7aT3mNm4bGABeNTOXN7w54j9y+EO/N3s4D1w5i6aYy1u2swmrSM35gJ6JsRnwhkXWezqxf4KFrio3JF9yPSaeAIFDcoOL/9iUco3+DpJdJirFSXuvGq0isLgqSFKOjrtGPun0u58YZ2Ch055H/Hggj37i7mi9MOp645nZ03z+J3NTQvE40WTGZzewsqmPFlnJEAc4fmcmQ7vGs2tr296FX51jmrSnmq8UF6CSBEX1SuGhsZ1ZuKaek2k1cdC5GQzcyqzz885MNzcHZep3IJaM6MTbFDdvnEli+F7F+GMakLLx71iPoDMRd+AcC+iiMooR0lK1E7CYdN0zuhj+kIApg0ovIssqpEG90on4zjZ4gFqMOvSF8OxMlEWj7RUJpqkOp24u+6whE8eTN/hNjOyEaxuHfOp/ghm8wDZ52XDLeJEmgc0okG/JquHxi10PWiS3+1eg42rU7feiwOMrNzT1i+fnj1T7E5/O1ihsyGsM9jPx+P15vuM5PW2OcztYP+6NFFAUcjuMfEHm0eP0hFqzdyytfHKhUvXxzOTGRJp66bSRJsa1tCwRl6hv9uNx+JEkkymrEZjfhkjJQJt6L4GtCURTynSp5+SrTxmcRG2Whqt7TShhFRhiIMOkZ1S8FwWhlQM8oimoCzFl9IPaovNZNkzdAjN3ElJFZ+AMy89bspbDcxVmDOhEMKazdUcXaHVV8PA/umNaN7hlRONy7Uc65mxrBgtun8KdrwnWBgiGFlz/bwFO3Dgl7o4w2grGZ/OeN1t8lty/Eq9+XcHffKchLDng1I4dMATnI36/vhsfjQ2eyYIu04a2vIS7K3KoulF4ncvaQdJ55N9wGJCSrLFxXQr3Tx3VTevC3t1bxzdJC/nLdEB56bRlN+6b5AIIhhQ/nFxEzNZsevibkxjr8pbuw9Z2AOb0n1tyh6Oyx4cwkwG5v3YPwdOJE/mZ8IQWb1YDVEr437P+3LVz5OxF0BmypWc2fzUmLJRWDOIbGjXMRCldj6zXmuOy2T5c43vt+B+6gQmp8a+/Z6f5d1dA4Gjp8d7j99ttbiSO32826desoLi7mvvvuO27GmUwmAoGWUyJ+f9iFbrFYMJnChdsCgUDz/+8f01ZD3KNFUVRcLs+RB/5CuAMK/5mxqdXyWqePt7/Zyq0X9kQ4yHsUUmDp5nLe/35Hc+ZavMPM/VcPJCHSRFR0NJ5AFL5AiM5xEr26iQiqSn29G0VWsZr1uL1BeneJZcrILJxNfiRRIN5hYfX2SmYt2M3NU3ty4cg0iosribBZUQ0WPvx+BzuL61vZuWFXNdPGdsbtDTJpaAayomAx6hAMZhqiu/Pml1vZmn8g8Lh351imj+tMUowFqy5EfaMfJbE7hRXudjO4dhQ3EJqYA4AUEUXk4CmooSChhirkyGx0ejsWnYK8dwsRQognbh7Ihz/lsWRzBSFZpWd2DBeN7cznc3e3mhrctKeGK87JQRQFrCY9BeXOFsLoYD5eWMZj55wP5f9Eskah7zKUoCLRJCvg8iNJQex2My6Xt91p0ZOdoxE9J/I3U1XrxmyQcHv8WC1G3B4/ShvXWgU8ezYiRnfC61eA9qdbTxoiEtGl9qRx03xkewpSdMrP3mVClAm9TmTB6mLOO6j3nySJp/x39USz/xpqnPp0WBzdeeed7a67//772bJlS3Mm2c8lMTGRqqqqFsv2/52QkEBoXz+Gqqoq0tLSWozJycn5Wcc+UfVkJElkU15Nu7G3K7ZWcM253ZobwUqSyO5SJ29+vbXFuKp6Lw++uox/3DMGgxD+oCP2xy8ddG4GncT5IzPJL3EyvHcyz763pkVA8Mi+yfzu4r689OkGhnSL4YYJnbDKTl5dWtWmMAKwmPTEOyz07RrHCx+uRa8TuffKASzbVM66HVUthBHAprwaBEFgdL9UDEEXN5+Twderq+mWEX3YayVERBN/0b2oAS+uDfPwl+wg4opn+O2ziwHISLJz6zmdiNzwAaGy/3L9lHu4fGRvFFkmYI7hkddX0NDUutgkQGm1G5tFT//chBbtQA6lusGLak4AwDZ4Cm4fqGrrKuSyrJz2NYpO1PnVN/qxmHTNgkiRlX1TkS1RGspQPPXo0/seNtvyZENM6YngrMC79mtMY2742fFHoiCQmWhj1fZKJg1Oa7X+TPiuamgcieM6QTpt2jRmz5593PY3aNAg1q5diywfSGFesWIFmZmZxMTEkJubS0REBCtXHqhf43K52LZtG4MGDTpudvyaCALttviA8Bu6cpByCsgqH/zQdmFOX0Bm3c5qdDoRURSQJLFVZe2QrDC8VxLTxnbmpc82tMqUWrKhjHqXj65pDlZur+XWlzbQaE1n4uD2WxCMG5CKxaTjza+24gvITBiczswFe8hIsrMlv+1U9Y27q8lKiaTGK5HjXsfo7lGkJEa1e4zU+AgkUaA8FEUDdlQETBm9UU12YiLDXsTCchcPvbuN4OCrQVVomPEUkYEqgjMeQRLU5kDetrCa9fgDMgNz40mMad9zEhNpQvC5iBz5G4SoZA4XdK3xy+B0B44qUy1UtgN0JoTIhF/BquOHIArosgajep2E8pYfl312SY2ioLyxzYrsGhoax1kcFRcXN3tzjgfTp0+nqamJv/zlL+Tl5TFjxgzefvttbr31ViAca3TVVVfx3HPPMXfuXHbs2ME999xDYmIiZ5999nGz49ckFFLo3Tm23fXZqZEYDgp8VaHNKtn72b23HosUwFC9FWH3fMxNe7GKvmaRFFRUvpi/m8JyJ707h2v+HMoPK4oYP/BAUc3yahdJsRYmtPHW2TM7htz0aGbMz0MQoF9OHKP6prApr3pfIcP2CQQV/v1dMfZuQ3Asewl7UyFTR2W0GieKAtdM7sbj723iD2/v5oEZNezscg26CXfw9k9FTBmV1Tw2JKvMXFmFIXc0iBIBZxUJ1z1DvMHLw1d2D1cGP4Rou4kEh5mn7xjJdysKSYq1tNtu4fKzsojPzEbviKdp2SeY3Xux6GWCKjh9IRr9Mo2ewBHbvWgcO86mwBEz1VRU5PIdiNGpR4yZPBkRLZFIKd0I5q1E8bTtse0I2Sl2JFFg7a42ymJoaGh0fFqtrd5qiqJQUVHB7NmzGTdu3HExDCAmJoY33niDJ554gmnTphEXF8f999/PtGnTmsfcddddhEIhHnzwQXw+H4MGDeLNN99Er//lirv90tgteob2TGTFlpYZVpIocMvUXugOKkAoCJASF8HeysY299U5xUbNly/iLz4w7aaPSyNu+v/RqFrQiSoTB6dT6/SRGGOlR1YMV5/bjVkL97AprwaAWpcPu/VA0Hu0Gcqq3UwdlcW4/qks31JOMKgwuEcicVEm1u+qpqrewx+u6E9+qYtapxdVBcMReoMZDRLFFU288H01v7/w/wjWlTGlr43uGf35fEE+tU4fuRkOJg3J4Osl+ZTtyxxzNgX4xxfh7Lm9lY1MGZXFn64ZSHFFIz+sKGJ7cSPqWV1I6DYQz571NCz4CDXoIzEhgyemXcnH6yKYsz48XRtlM3Lnb/ry9/fXopdEbpjSg/e/3859Vw7gPzM2UV0fDurWSQLTxmTTNz5E6Wt3N1c99pti2SQKvDenoLlOU7cMB3f+pi8WnXjYKtgaHcfrD+EPykcsAKk6K1G9LnQZA34ly44/Ukp3lOpCAtvmYxp40c/al8mgIz3RxuodVUwceHp3E9DQOBYEtYNVG3Nzc9tcHhERwdixY3nggQeIiYk5LsadKGRZoa7OfeSBvyCKILJmZyWzFu7B2RSgR1Y0V07KJcqsb5HKL0ki24rreea9ta32YTRIvHh9DsHP/q/VOkvOUCxn3YIrAA+9voKahgPudZ0k8vvL+vHt0gK2F9bRpVMUg7sn8sEPO8hJi+S+STF8siHI0F5JzFqwh5un9WTF5nLcvhAVtR6uOLsrBWUuVmypYOXWCn4zoStb9tTQMzuWXcX1bGjjbXVAbjxXTMpl854aCstc5KY7GJAbz6ptFazeVsnU0dnEOSwIAvx31hY27G69j9T4CM4ekk7XNAffLi1AVVXG9k9FUVV6Ozw0/PRf/GV5h2wlEHfZwyyttmPUSwgCfPzjLkqrw964cQM7IQnhGKRrJnfDaJAIBhUiIwzYFCeNP7xCoDwfVQ5iSMgkr9uNPD9jVyvbYiJNPPW74Se+dsYxEBd35HpAJ+o3U1Hn4c+vr+Cy8Z3JTLZjs5lpbPS2ijkK7lxEsGANhgHTEE7iFP4jIVcXEMpbgXH4VUjRqT9rX5vza/l+ZTHP3T4Ch82ITificFipr3drMUfHyP5rqHHq0+F7tdZ49tdBVBWGd0+gf9d4UFV0koCgqq1qHMmyQpfUKK4+txsf/7ST4L6bWrTdxAPX9Ee38SPayrPy7FqFaeyN/GfG9hbCCMJxSC9/toF7Lu/P9sI6LhyTzdvfbKNPlxh+Oz6OCKsBp7uSOqeP80dmsmpLBdX1Xs4alMZf31zJ53qB6eO68s9PNgDw44oi7rq0L//4eD13X9ov7M7fcSDQflD3BCYNTefPrywlMcZCYoyV/l1jufWZeTxz+wii7WY+/HEne0oacNhNTBqazpj+qbz02YYWnpiSqiaSYqzUOL0s3hAuJrpkYxmDuyfQ+yxbG8IIQMU5720sPW/mlRn5uH0tp4UXry/lpfvGIglg1InIIQXVIuJ0+1mwqQYx5mIGDrJhKt+Aao/n/R9L2vw8a50+iioa6ZJs17xHxxHnvoB66xE8R3LFLsSo5FNaGAGIsRkIZTsJ7liIOPyKn1X7qEtqJD+uFlizo4qJgzTvkYbGwRyXF9ktW7ZQVlbG0KFDsdtbx6xoHBuhkBL+gARAUdsN9RVVlfH9UxjVO4H62gYkNYjFX4204jUiuo9AkkSaNs0PD5Z0GHNHoqT2xRWUmqfODsUXkPH6Qzx43SASInU8cmUuUuEqLDXVEDeW26bFo5MEPEEFX0CmsLyRuav3ct+VA4iMMLDnoM71Hl+QjburefzWYazYXE6vzrFcOCYbSRQxGSSWbirj2ffW4g/KFFU0Ikkibr9Mz6wYKmo9PH9Qk9tap48Pf9jJ8F5JXDy+C5/OOeCliYowYo8w8MH3LQW8yxPAXbCF9ghUFRFvE1sJIwgLRVUJi1M5pKAIAh/+uIN5aw6IoA/nw7mD0pnaNY3KupWt9rGfXcUN5HaKQjlMQ16NjtFwFH3VFE8DSmMN+qS2vd6nEoIgoEvrRXDHIpTqQqS4zGPel8mgIzPJxoptFZo40tA4hA6Lo6qqKu69916GDRvGbbfdxvvvv88TTzyBqqpERUXx3nvv0aXLielZdCZjVd1Uf/5XTPXlAAT3/efLX0/81N/jK94Gkh7OuouZa2vx7xQ5L/bwD2lRDZG29V3M6b0ICTpMuQMQzFG4ZT3+kIwoiTz9zmoKy13N28xZXcz0cdl0TQun4Z8/MpO+XeNYtbWST+bsol/XeDKS7OglgUUbSlEUlbQYPc/e0gev18/OEjeds1P4fN5urjm3G8+8v6ZN25ZtLufhwWlIooC8zxNz4dhs9uxtaCX4fH6ZkCGi3fMUdAaCSttv4GmJNnQ6EUkSUBWVvDJXC2G0n+9WlzOkVzJpCTaK24n/SomPOKVSyE8FGpr86HUiRr3U7hi5Mg8EEeGQBrCnKkJUMkJELMFdSxDjMn6W9yg3zcE3y4uoqveQHNf+b0RD40yjwz7mZ599loKCAnr16oWiKLz66qsMHz6cWbNm0blzZ55//vlfwk6NwyCKAqHaYkL7hNGhNCyfib3/JIQJd/HIR3kM6NEJq9mA3x8kytZ+NeE0u4yvdBfuhD68sjWGFQUBlFCA0pJyvlteyHfLCloIo/18MX8PiTFWpozKxGLU87e3VvHjyiKWbSrn359v5PkP16IKAlMHOJieVEyPoo+xrP+YNCoYH1dJIlWkxpgQRKE5ALotiisbiXOEC66N6pvCwNx4Xv+ytYeosNyFkpgLQttfd2vP0WwtbTut/zdndeXv767hm2VFhBD4clF+u/Z8tbSYayZ1bnOd0SDRLSO6zfo7GseOsylwxGBsuTIP0R5/XBu4nkgEQUCX2gOlvhSl5tD+gh2jS2oUBp3Iim1tN5HW0DhT6bA4WrJkCX/6058YNWoU69ato6amhmuuuYbc3Fxuuukm1qxp+01f45dDkkR8RZvbXR+oKsKQlM3Xa+u4aFwXZi7Io6CsgSSljBsmtk7HB7h4bCZmHRgv/TsbywLcNCqS7ns/p+bte4lZ+iIXJZUwMMOMTmr7rXXV9nLGD0jj07mtg5Mraj18t7QA/8YfqPvpLXyFm3HvWEHVrBcJVhUiFq7moj5GTOLhPVtxUWYumdCVx24eykVjswmG2hceO6tUIs69s5VAMsSnE5EzhNEZAtNGpGI2hp2pWSmR/PGqAazeVkFeqZPP5u3m/9s77/AoqrYP3zPbN9n0SkIoAQKBdEIPTTqogCAq9i72rq/9/eyiqGBX9FWsFBVBpfdO6DUkoab3un3m+2PJkiUJTaTOfV25IDNzZp45mfKbc56SvreQqtoTFbG1ExWkpW+yZxZjk1HDK3d1R9f04IbCGVJeYz2hOJKddqSSw4h+zc6hVf8+gl84glcA9n2r/9F+NGqRds39WL0j/5RrNiooXA6ctjiqra0lLMw1PL18+XK0Wi3dunUDXHmHlBvs3CPLMmqfkCbXi3ovMAWxNbsCfx8duw+UckOvUGr/+oA2Vek8f3MizUNdEUmhAUYmPpRGoL83r/96mP9O20lppR1JUOEoOoxsM+MoL6By0VcE7prOXUMa93lwOGTS9zT9Nbpk0xEczZMaLK9Mn4e+RUfKlkzDWJNDQpvGs2Rr1CJ+Jh0VlVYkGSZ+v4nMI+XERTfMEeVv0uHnZ+KbLSp0494k4Iqb8ek8jOCrHsIndTiFv03C8usrDHYsZNLNLXn/kTRuHRxNkMZCv1hveseHohIFNu0pJDmm6X5O7RBCjUNNsyBvXrqzG/ePSeDpmzrzxv29iAg0IimjRmed8irrCXMcScUHQHYi+F9i4kgQUEfEIpUcQirL+Uf76tgqgMIyM/tOkAleQeFy47R9jlq2bMnGjRtJTExk3rx5dOnSxV0Mdvbs2bRs2fJs26hwEhwOCVPrJMoE0Z1vpz6mlGGYRS8iQ03uUhj+GjsOcxWaoObszC5lYJcoQvyNhAQY+HjGNjLrOVT/vCiThRv1vHrdYzDjOfcx7NkbiUu8Cp1GhclLQ3ybYGQZtmUWkRwTwvqd+Q1sqcPukEBofCjFcnAHyBJ6rNw1oBkvFtZ6ZPIVRYEHxyayP6eCjXsK+PYvV3HayhobNwyOYeVWE6u35SLJMt06hdMjvhkfz9hKQWkth4qtvHtbCqWLvqV610qk2mPTgtZ96wnrMhyzXIF+53Ss2ekYVGpuievH3UOG8+OqQnonRCBKNnq180Yl2bCh5a8tZWzMKCGlQxhOWaZPciTVtTYCfHQYdWrCgrwpKzu/qSEuVUqrrESFNO0r4yzcj6A3IRpOno7gYkMIiEQw+GDLXIM+dcwZ7ycqxBtfby3Lt+TSNf6f125TULgUOG1xdNddd/H000/z1VdfUVtby4svvgjAmDFj2LVrFxMnTjzrRiqcHIvoRfA1T1L067vgPBZ1pW+VgDF+AGZEusaGUnU0MaEsgCYwggxLML+udIW4hwd6cXWfaA9hVEdJhYWFO6sY2DoZa9axqVOxYC8PX9cVs9XBhl0uMXTzsFh8vbWktA9l5pLGwuchLjoAoWBvo+tkpxNRqwOHDdX6L3j9jkfJyLewdV8J4UFGunUKZ+32PH5auA9HvQKZrZr58OJnq0mMCeH2qzoSFerDzwv38t8v17qdtq/v25yKNb/j23kIpcvKsR0VRypvP/x7X4eo0VL5wwvINvNRWxxUp/+FJWsTw4c+jcaoYrgunerfF4DkRKfWcn3CIO4aOoIF24v5Zs4upjzRD3+ja6qnqWlHhX+OLMuUV1vp2EQNPhkZZ2Emgl/4Obbs3CAIAqpmsTiy1iJVFSOams6sf7L9xLUKZO3OfGotjRdYVlC43DhtcTRixAjCw8NJT0+nS5cuJCYmAq46aA899BC9e/c+2zYqnAJ2SYSgGJrd+T62vEyc5ip0Ee2Q9X5UO3WAqyxJfpkZlShQZFYTFj+U39ceS6bYKTrQLXAaY8XOEvpfkQr1xJE6ugt//rGfHVnHaqat3ZFPXHQQt1/VkYS2QWzd5xk9plaJ3DawJY45Uxs9jqFFR5AlzId24eh1N299vwNZdiV53LS3iEN5FdyUFkyPFm35dWM5CzYVMLBLFHklNUQ39yOlfQgqUeBAbgUj01oR4mdwFbZNDCdIb8dyqJaiOR/j03ko/j3HIEtOZJsFe1k+lsO73cKoPo7yArQFe/liiYnbOifApr8BkB02atPnIDkddIgZQac2QVTW2tCfwNFd4exgtjqx2aUmfY7kmjJXVuwWiefWsHOIGNQC4ch27Flr0SWOOOP9xLUOYNWOPJZuOkL3Dk1PHSsoXC6cUZ6jlJQUUlI80/A//fTTZ8UghTPHLonY8UZsloQgCNQ4Jag3y6ZGplmAkcduSOaHZZk8PjqBippjjtyS7HLubgqVKIJ8zElaE9ScnfkOD2FUx+4DJZio5cHhLVi1y8ScDflU19pJaBPImCvaEqiupcLe0LnZ0CYZZ20lxjYplNY4+e9PmRSVu8RKXdZqAD8vNcPEVVwb04lu8clENQvAbnciCPD3moMcyKvEx0vL5Ie70jzEiyWbc/lzzQECTDpeGtEP5561lC39wePYgYPuoGrroqbP/+AGAr0Hk2P1IswUgLOq1L3Osm0h6tZ9uTotGr226dtKVIlY7BJmmwOdRoVeowIlvP+MKDuaANJkbFwcOQv3u0L4fS6uQrOngyCKiGHtcB7aihTTG9FwZnnmTEYtbSP9mLtqP93aB59lKxUULj7OSBytWrWKJUuWYDabG+RtEQSB119//awYp3BmuDIwN3T+lWUQZInYKD9aX59CdY2FuOhAlqS7HDq3ZBQyfkj7Jn2FBqU2w2BOpwoBkFH3u5s//zrkXu/jpeWK1Oa0auZLS38Rx4pvsGan0yWyA6kD+4PGhFCwF1W1lpXFXgy8/gWqtizEcmAHosELU9JA9OFtkIGK9L+xxY/lzqtdPhB7DpaxcP1Bqmpdw/7zNuQx+MY+2Oa8QfjYN7A7JHbsL6WgxOxOLxAT5U9xlUR5jYPRfdtQa3UJkmovNT6pV2Pe8LvH+QlaPaLWgJMmCntqjZhrJdL31zAqpAXmeuIIyYHaaaGgTEWrMFOjgkcSBP5ac5DZK7Kx2p2IAnSLC+e24bFoBLlBE/XRAsOCIGC3K4kjj6e8yiWOmho5chZlI5qCEVQXY9GWU0cVGo0zZyeO/RvQxl5xxvtJaRfEj4sy2XOwjLaRfmfPQAWFi5DTfmpMnTqVt99+G51OR0BAQIMK1xdjxeuLGZ3KgUYy46wsRtToweiLGeMJByNkSUYngpe/kTH927Fyax52h0RJhQW7XSIpJpjNez1rlzUPNdGjhQrxkET4ra8jiRqsGl/sTlcZkJT2IQzv2YrZK7KZv/Yg797cCmu2q96b7chuOLLbvS/NwXT8Eu6luNKBXqXBv+/1IKqwHNhB+aqZiIFRWNMm8MmvO8k4VIYgQHybYB4fn8JXs3dyuKAKq92JU6VD374Heo3EkSoL5VUWeiaE8/vyLIL89Nw4rD1GnYbC8lq+/3u3u1hvsL+BJ24YRmCbHgiVuciIePn5IwLeCVdQtuS7RvvN0bYvG37O4+pu4cillgbrZbUOm92JRiVgP67/BVFg3uqDTF+8z71MkmH1tjxKKy08Mi4JvVpAcsqoVAIWh8zanQVs3ltIiL+RgV2iMOnVCEo0qJuyE4gjWXYilRxCFRF7rs065wgqDarQtjgObkHTpgeC1nBG+2kRZiI0wMjf6w8p4kjhsue0xdG0adO48soree2119BqtSdvoPCvYVTZqN04m+KNf7ojyFRefgRf8xQWYzOcJ5mtcTgkjBqRtx/oxRe/72DX/lK+mr2DJ25MYVi3Fvy19hB2h0S/Tr50CHBgm/M6FnM1NRkbCLzqEayFe0mLD6Gyxsrgbi159ev1SJJMy3AfnHkN8xvVYS/JISpAQ7UmiILIwezKKiHIR0OnNv0Rq8pwdr2Jpz5a7a4TJ8uwdV8RWUfKeWJ8Cv/9ai23X9mJCsHIz+VdscwrpFsnFe2a+9PcJPHj06k4UJFX42TzniLmrfFMlFdSbiY7t5JKPy/+Wq+mxuKgZyc13dr64Nc6EX3WJiyHdnq00cQPZlO+SI3ZTre2JiwzPZ3JdS3jWb2/ltSEVqhUAhrJjiDbQRYBL2qsTmavaDyB5J4DZeQU1xAR5IVOFKi2Sjz7ySoqa45NO85dtZ8HxyaQ1CbI1SEKlFVbMerUqBuZCpbKcsFpR/S9NLJinwxVeDucuXtwHNyMpm2PM9qHIAj0iAvnt2VZ5JfWEhZgPMtWKihcPJy2OCouLmbMmDGKMDpP1PmsIMhosjdStWGOx3pnTTkFP/6X8NsnUkXDEGdBFLE5JWRALQqogSCTjudv60pljRVRsuPcMgeNs5aHu8djPrIPee82bIXHBIajLI+Kw5l8tcufa68IRaPVMX1RhrugqtXuRNCe4MEqiAT7e/H41O0efkRqlcBb99/Nn6sPuoVRfarNdnZkl/Do9cls3FPAl7OPZcNO31NIVKiJ50ZFYPnlOdQ+QYSnjeOg2NB/4obB7dm5v4SVW3Ldy/YeLOM3Hz1P3ZQCybfQomctVTtXIolapFZdWX/Qwf/mHeDBsfFoD6zEWi9lgia0Nbq+d5BmtWAs2YpY6035qpnY8rNRmQLw6zkaa2AS1hNMjRWVmck6XM6grlF8Nn2rhzCq46OZ2/j4yX5olcFZAMoqLZi8Gp9Sk4oOgFqH4OV/bo06TwgaPWJIaxz7N6JunXrG2cAT24WwYP0h/l53kFuHdjjLViooXDycdhLI2NhY9u3bd/INFU4JlUpEEkBQiSedkpREgelLM3nwvaUc3H+EitUzGt1OtluwHtrpdq6WBIFah8zhklqOlNSyLauE5z9bzcTvN1FcbUcSQJJlTHoRcf132NJ/R+sXTM3KH7Fu+sNDGLnJXEVUoJo3vt1IXHQQ+w6Xu1flFddgD2zdZLkObXRnyuwaD2EE4HDK7DpQxo7shg7edew5UEqzYC+WbWqY+O5QQRVL99Sga5WAo7KI0rlTiGMv3Tsei74x6NREhpg8hFEdpZUW5q09yN9bynnohzykrjdSETuShVlgEfW8dEc3snIqOezfGc3VL+I19GHCrnuBgH7Xoyncg3BgA3ZTM8p3rMKWn43ssOEoy6d4zsdo7DWIJ/jz+nprWb8rH4vN2WQxYEmSyThUjniiHV1GlFRaMBka/0hzFu1H9A25rKb5Vc3au5K0Htp2xvvQqEVS24ewans+JRUNp44VFC4XTnvk6D//+Q+PPPIIRqORhIQEDIaG89vNml1a2Wj/DURRoNYhMW91NtuzSgjw0TOqTzSh/gbERqZNZEHg6zm7WbXN9VL3Nao9oqWOx1Z0CE3rHtglkS9m72BdPSfrZkFePHhtEpv2FFBeZWHW0n3kFtXQMtyHq7uMRGdzguREUDf99SmotdicrvxHuUXVqFUCjnoZoH9ZVcDNA+/DMv9j6juHq32DcSaPIb/M0cheXSU4fL11FJTWNro+wEdHxqEmHKaB+ZuLSBvcC/ZvcfXDhlmMGvoya3a6fKM6tAxgc0Zhk+1Xb8vj/rEJLN10hBc+W8OEa+LZc7AMq83Jzwv2IsvwJ6BVi7x9Rxy1v71E4LUvUmjwZc5uPw5uOUKLkC6MuHoY+p1/YN+zAgBx72K6xXVg9baG9e+C/Q2YrQ70OvVJS4habQ4uo/f9CSmttBLi3/D5I9utSBX5qFulNNLq0kXUeyMGtsCRtRZ1i0QE8czq1SS3C2LdrgLmrj3IzYNjzrKVCgoXB6ctjq6//nokSeI///lPk19lu3fvbnS5ggtRFCirsfPMJ6uw2lxTLdk5FWzcXcD1g9oxIKV5A8dbi11yCyOAogo7rf3DcJQ1Hlmma9YGhwy/LNnnIYwAcotrWLThIMkxobz69Xr38gN5lSzffIRnrxtOy5x5eMX2anzUCHDEXMHqua4Rjk17C+kWF+4xGrNqZzEadQhjx7yOoWAL9vIinGEdKddH8NuyItpE+TW63xWbc7hhUDvebUIADerWgoUbDje6Do5m3q4XnSTbLBg49gUsCJywxI0ky4hHr+uicjMWm5P4NkH8vDDD7eqjVgncNbQV2oyFqKNT2FWi4o1pW90O31k5FSzZks8z1w6leVUR9pw92Lb+ze23DKO80sKuA8fOLdjfwP1jEvhk5jbuuroTarVI81AThwuqGrWvvVK81k1plZXoiIah646SgyBLCJeJv1F9VBEdsG/7C+eRHaijEs5oH1qNitQOISzfmsuQrlGE+J2Zg7eCwsXMaYujV1999d+w47LCIcMns7a5hVF9flqQQa+ECAzHZVauXz4DYObaQp7pMwbH/CkN9iEaTGiataPS5mRxE0Kif0oU+XmFPD+uHTllNv5Yn09xuQVJhil/ZPPG6O6YjCK6iBisOZ7Ox5rozmSbfSkud0W0Ld+cw3O3dWHfoXKPEZ+lWwuJigjE6Uwgo6iMwzuqqKjO4JW7u/P5b40P/eeV1BAdZmBQShjz0z1F3TX92rDnQBkdWwWyNP1Io+17xAYiHl7rsczL24hWLWJzSOw5WMZD1yYyf92hRtt37RjG1n3HIvXW78rnxvZVpD3em/25VWicZiJ9ZYRtc7FnrEYc8398OG2XWxjVIcsw5Y8s3rr2Gsh5Ddlhw1h5iCduSCKv1MLhwmp8vbSYbQ4+mbmNhLbBtAwzoUbm3tFxvPDZGrcPVx0Du0Rh1KoUh2zAYnNgtjowGRtOqzmLDiDovBH1TZcVuVQRvfwQA5pjz1yDqnkcQhNT2ycjuW0w6XuL+HVZFvdc3eksW6mgcOFz2uJo1KhR/4YdlxVWh0RGPR+d+siyyzk4oW0Q1Udz+hh0avyOy7h8IK+S9aUt6JJ2E7Z105FtLvGkCY4i6KpHMAsmZJzEtg4gr6jGnUgR4JYBUUQLhwk98AuO0jwiAyPoevU1LM4W+WXFEVcSw5C2LNl1mFapdxKUXIicsQxBVGOL7s2+SiMf/pZ17HzsTnZkFfP8bV3YkV3C7gOl+Hhp6RnfDEEQmLMymxqzna4dw0mKCWbt9lxG9WnDO9PSG5x/QrQ/wsGNjAqtZthdSWw/YkGjN9A6wo9FGw8zc0kmj1yXRJtIvwZlTny8tFzZORDrjFXuZdrQVhypgOdu64JRr3GFydscpLQPIX2P5/SayahhTP9oPvzlmHDrlxyB+e//INltJN38FtU1GhzmaoTg1qhyd1Np17hzLx1PVa2dGsGEFle4tcMrGOusl/Fv0wOfVt1Jz6rCLsk8e0sq3no1oizjdEK4v4GJD6bx04K97DlYhp9JxzX92tCxZYASyn+U0kpXGL9PY+Ko8ACC76Wb+PFkqCI7Yt/2N86cnagj485oHxq1SK+4cP5ef4gBnSuIjvA9y1YqKFzYXNrZ0S5SHJLMh79scZfdCAs08uC1ifRLiWRJvRGTqfMPsqtDCDdc/X+EeUkIKg2SxguzaMBsl9iWWUJEkDdpCRF4GTR8NXsHHaN86G44QOnMae79WHP3Qe6bXNHvTg51DGZozzY8//k692hVsJ+BuNb9SY4JRnCKTPpts4e9If4G+qY0563vNmKzO2kV7kNOYTUvfLYag07DuAHtiI70pai8lh1ZJYQHeXMwr5JHrktixuJ9HCmsxqhXMzQ1nEFtRax/fIzstCOIM+gcFIGp81Byre2Yt9Y1xffZr9t55Lok9udWsGxzDlabkx7xYQyLMyEveN9dW07l5Qt97ub9HzIprbTw8ZP9+OTXbezeX8q9o+PpEhvG4o2HqbU66NLWlys6+SIu+4inBw7h+3QtZWYJf5MOVasU1LGD+GZxHks25+FwSnRoGcjtA5+Fk/h1yACCiG7gBGasLWZIdHfsq3+Adb/Qs01n/AfeQaXtuNEgScbfqObekXE4JAkBAa1KwHmy3AyXEaVVrmvz+OzYztoKpOoS1OHtz4dZFwSil79r9ChjFaqIWIQmCjyfjE6tAti8r4jvF2Tw/M2dlUAAhcuKUxJH7du3P+WoD0EQ2LVr1z8y6lJHpxZp29zPI8KrPsF+BrbXi1jKL6nlpc/X8N4jfdh9oIT8kmOjQEdKzOj8gqkVj2bARuBIYQ2vfLXOoyhrsJ+Bh8Yl4StXYvvtg0aPa131PTeMfYeflx30mMYrKjezeJOZxZtyef/B7rxyU0fmbCzGbHPQIy6c1hF+WO0OSivM1JjtRAZ7k9IhlIFdWxDsb2D+2oOs3p5Li3AfrujcnJ8WZLBxdwGRId4M6daSQD89JqOGMHUVZosd+4iXMQg2hF3zsWWsQeMbjClvB4NSQpmfXoDZ6uCN/20gtlUAo/pEE9/KB5Ngxu6UqU28El1FLlJgS6r0zXh/uutcVKKAIArsPVCGwynz8cxtfPFwMgmOUiRBhZi7Duv0Ta58UQe3cff41yjThPLsRyt475GbeenLdeQV17j7ZPeBMp75upzJj6bhZdBQY244euRl0ODjrcM55nW+X13EgcJyhnQ9+jJ3OqjduxZjbE/E0PgGU2iyDMjS0RtUVvyMjqO4woIg0GBazZq/HwDxMh45AlBFdsK+7S8ch7ejiUo8o32IosAVKZH8sHAfy7bk0C858uwaqaBwAXNK4uj++++/rEJi/23UAtw7Op7/fLyqQe6ba/q1Yd3O/AY+LA6nzNxV+3n93p7kltRSWFpLs2AvAk161PWcjG1Omdf/t8FDGIFL4MxavI9HB/hS4Wx8Gki2mdFptazd0TCiqo71e4tJ7RBC6wg7kixTUW2lqKwWP5OOzh3C6JMUwcY9Bfy+LAsE6BEXTo/4Znzw82Z27S9l/tqDPHxdEuVVVjKPlPPl7B34eGl57IZkPlpcwOYMl7+PTqvimp4D6D0oBZUpCOnPzxmVOJy0Du35a2s5ZquTXu1NxPpWodu5HE2HHlQ4vHh9uYifdzSFG2spLDsm0tMSm6FTi/iZdPh4aXhmTFs0h9ZTvfJ7zxMURNSmQMzpc6iIuYZX7unBzgNlHsKoDqcks+dgBfePSeCdaRs9Bn8EAe66uhN/bilnzqoDSJLMDf2iEI+s9NiHOWM9+ogkbLbGo/cUGqekwoLJqEV13GiGNT8b0csfQXN5F/4VvfwQA1vi2LsSdUTHM857FBnsTXx0INOXZpHQJogAH/1ZtlRB4cLklMTRgw8++G/bcVkhSTIBXhomPdqbv1YfOBrKr2NU3zYcLqhm5pLtjbbLOFSG5JSJ8NcTGWBw11CreykLAuQW1WC2Nv6iLauyIvmE4Rz5OsgyelspwqaZ2AoOuLdRqQSkE/i12BxgsUNKh1DKqiys3JJLYZmFgd2ac+2Atrz4+RqKyo6NbP2+PJt1O/O5f0wCr329HqckM3X2Tm67siOTftwEwE1DOzB19k4O1YvQstqc/LDkINrhHRiiMWJMHkLlkqn4GX24pXUKslqHnLEb28qD+I95mvxpL2IafB8jezZnyq+e0ZKhAUauHxSDwyFxZVprUsMdCNvnYK2fCkEQ0Xa9FltkEpkFZowGDeH+PlSbnWzZ23jof8twH9QaFet35vP8bV1ZtOEQOUXVRAR7M7xnKw4XVjN7hWskI9BXT1o7I9bpno7oKm//E0bPKTROSYWlgb+RDFjzshD9lREOAFVUJ+xb/sSxfwOaNmeWNRugb2IzsnMr+ebvPTw6NkH5UFa4LFB8js4TsiSjFwXG9I3m6rTWiKKAKAjMXbm/yTZhgV6oVa76W429UAVBoLqR6R2AhLbBDOnWgme/3OyOKAvy0/PAiHsJyfgVe+Y61D7BVFZb6d4pnP25lZRWWhqMbLWL8uO/X63Dz1vH9UdzoCxJP0zzUG8cDslDGNWRX1LLgdxK2kX5k3GojPJqK3qtyw/CoFPjbdB4CKP6TF+cSbcWKrQtUtAPC0LaNAvLjiXu9X49RmE+uAPZYaNy7gd0velN2t4Tx6q9VRRXO+gSG0p0hB8IAtk5FaRGm5AXTUYyeKEyBbj3ox/6CD9uF1n657GyITpNJg+MTSCmRQDLNjdMOjm8Zyu++3s3RWVm1u3Mp2dCM7rHN6Ok3Mzr36zn6ZtTCfDR0ycxjEGxRqS/3+X4gsBenfpQrRSVPW2KKsz4HJcdW64uQTJXoW51+YXwN4aoNyGGtcW+bw2q5vGIujOL3tNr1QxObc7M5dks3ZJLv6SIs2ypgsKFhyKOzjNOh+RKU+6UkQUY1bcNa3c2nrtoZO9o5BNUlJUkmRZhDfO+qFUCo/pG8+rUdR6JGovLLfz3h928d+cYVDm70A19hAKrwBWpURwurCI80IvicjPT/t6D2eqga8dQ/H303D82gV8WZjDpx008c3MqO7KK6RQdyMczms7Mu3F3AR1bBzZI4Bjgoye3kSmrOmrMdkokEx9+sxW9VsWVPe4l8QoV6gNrMETGULNvI1Wb5ru3t29fSGT3UVzrKyI77Fi9fJmx7ABLNx9BFAQm3tERS+xAao1BhPnpqdq8EG1EOzYUm1i61VOYWu1O3v9pM+890udofiRP20xGrVsMmq0OFq73TA9QUWPjhTu6EukrUjr7fWyVnsV8/QfegV3jC4qf9WlTUmGhQwvP0iCOwv0giIg+wShjcS7UER2xFR3AvnspusQRZ7yf6AhfEtsE8dPCfbSN9CUy+PJLk6BweaGIowsIWYYgHx33jo7jy993uIWMWiVy59UdCfLRnXQKxkunoldCM1ZuPZaQsUvHMFZtzfUQRnVIksxvG4q567ZJ7CuwMenHdI/Q9LbN/fjPrakcKqhCr1XzzJSVeBk0PDwuie/+2s0fK7J48NpEDDo1GnXTOVU0atEdbeWlP1YstLLGSpBf034MGrVIVa3DPdo1ZdZO4qIDeaBPLJaMdJyB7dCkhcOuhdhLcnDWlFO+4heqdyxDUGvRJQwmqWUvAnzb0DrCl2K7SJmuLX8szSYyUMPYwfdhRcuvfzbuZ+WUZNbuyOPBaxP58OctHusMuhNHAdnsTgRAb/LBb+gE5OpiLNmbEfVe6FsnY1N5YZWUW/B0cTglKqpt+Hp5+hU5ig6g8QtBUGlO+BFxOSFodKij4nFkb8AZlYAqoPkZ76tfUgQ5xdV8/OsOXry1syvlh4LCJYpydV9gCLJMl/YhJLbt53YCDg/yQis2MnTRRPtbh3egVTMffl+eTWWNjXbN/T2yax9PVm41VXY1736/pkHOnn2Hy1mw7hDhQV58sdBV6LWyxsakHzdx/9gENGoRs9XBjqwSrkprzbs/bGr0GL0SI1xO2sBNwzrQLMiLUX2i8fHW0TrCD19vLRXVDYut9k6KbOAgvj2rhLx+bVhVkcjG9UX4mUyM6noP7bSF6OVqqrYsAkB22HAe3Ipvu0EsXrCXqX+4psxMRg3jBsaQV1zD1G0ObhoaS2nl8ib7p6C0Fi+DhkmP9mHNtjzMVgc94sMJ9tXRIszEwfyGU4IatUiwnwFvg2vqxyoYcBojUCdGIcsy1Q5JGTE6Q0oqLMiAr9cxnyNZduIsPoi2hZKw8HjEkGiEov3Ytv2NPu3WM3bO1qhFrurZiu/m7eXrP/dw79UdFf8jhUuWM0ufqvDvIsloBWgZ4kXLEC9XFfbTcNoVJZmBKZFMfLAXnz7dn95JzWgW7NXk9i3DfSgoMzeZzHDVtlyiI/08lqnVIpEhJrJzKvhpQQZ/rTlAaaWF/97d3S0I6khoG4SXQU2zYC+evSWVrCMV/LnmAH2SIzmQW4HT6eTJG1MaRMIktQumS2woK7Y09PdZuimHaquTsior+3Mree/XTGZmGpGaxWEvrpcVvM/dPDd1CwfyKt2LqmrtfPn7DmJa+CNqtJgduPySmiA6wpfMw2Ws2ZbL5oxCYiIMRFiyMGhFHh6X5PafqkMQ4I6rOhIeaKT+4JIsg93uxOFQVNE/oeDoVKaf9zFxJJXlgcOGJlCp63g8giCgbpWKXFOGY9+qkzc4AYE+eoZ2a8GGPYX83USWeQWFSwFl5OgC5p8EMTkcR3PkCCA4Ja5Ki260kj3AqD6tOVRQ3eS+nJLcIA/PA2MTeO3rdeSXHCsX8vWcXUSFmXj13h78OH8vPl5aunUKx6BTk5lTTligF5N/2UK12U5UmIneic0Y2Seap6esItBXz83DOqDTqqiqsREd6ce2fUVM/D4d5/F5DQCVSkQ6GpXn661Fq1axaFM+wzsHI4hqkBxoQ1uyLdfeaA4igC0ZhfRNbs7b36Uzfmh7JjaSsTss0ItWzXzp2DqQ3KJqurY1YTi0hooVcwm59W2CTN5MerQPyzfnsGt/KeGBRoZ0b4m3QYNKlpBl5cv6bFNUbkYlCh45jqSi/aDWoTYFYrcoaRGOR/TyQ9U8DnvmOsSQ6H80vRbT3I9usaHMWJpFxNFQfwWFSw1FHF0GyDL4ebn8hD6ZuRXb0ZGLOl8mf28dJyr1bjJqsDmORVR1bB1IxsFyD2FUx6H8KnKKqnjs6pZY8w9QU7AC2S+C1r5BzFmR746mMxm11Foc/LXmIFa7k9ziGt7/aTMatYhBp6ZTdCCBPnpXIdlG6Nw+hBWbDvLeHbHozQXIdgv4d6DGIeMd2Ax70SE0fmHsyrU2eV59kpvzxjfrsdicbM0o4oGxCfy0YC/lVTZG921DQtsgHE4JnVrAV6jBS1eEprYGQ/tkLDoRQRAprbHzyYyt6PRqmgV5o9OI2BxOZFmNTRYwKFmFzzqFZWZ8vbQeGZudRfsRfUMRRGUwvClUzTogl+VhS/8dXZ/bELVNjyafjLT4cIrKzXw2ewcv3JJKWIDxLFqqoHD+UcTRZYIgySRGB/Dh430pLDMjyzKhAUa0ooBKgGA/IzFR/uw9LpoM4Ore0SzacJj2Lf25onMULcN9mDJ9S6PHCQs00t7XTOH/XkAyH/PF8TMF8PK4p3nu+0zKqqwM6tqCAF892zM9I7jsDgm7w8baHfm8MaEn63cVeBSzBUhLjECUHdyS4MA6+wXs9ZJa+icMwNTvRspXz8JhriQqsKF/RYi/gefGtaXEbMZytPjvgvWH2J9byQ2D29O2uT/f/bWLXxZl0CbShyeHBFE96133+VQAhnZd0Mf2ZfIvm8nKcU3ZbTta7mXuqgO8cEdX3vl2A70SIxg7oJ1ralThrFBYXouf9zFnbNluQarIQ9O6y3m06sJHEATU7bpj2zYP28bf0HW7DuEk5W9OtK8R3VsybUEGH8zYyou3pGLQKa8ThUsH5Wq+BFAfjRI7mS+LfNSXKTLAUG+hDAj4mXQ8eWMK0/7ezYotuTglGZNRw3UDY4gM8SbQ10BxhZkf5+9lULcWqFSNf6HfPiASy5+TPIQRgLOqFNWyTxnf9xa2HLZQY7azM7sEo15DTSPTIJIks257Dq/f04XN+0pZviUXvU7NwC5RWCwOIo1mLDMnu8p91KN260JUodFsb3UjbUM09DT58OPSQxj1Gob3bEWbSD/8vNRobcWoZM8kgplHytmZXcKOrBLW7ywA4N5BkVjnvIJs88zfZM5Yj+wTzoTRQ5k8Y4eHT5PDKbF442FSO4bx99qD7Mgu4eU7uyoOfmeJwjIz4fVGKpzFB0CWUfkr+Y1OhqA1omnXC/uuxdi2/oU2aRjCGV6ZOq2KUWmt+G5+Bl/M2cUDo+MQFQdthUsERRxdxBhEGyprBea9m0FU4R2djF3tjVU6tWgUURRwyGB1ypRWWDBoBG4Z2oFxA2KwO5zotGr8NTbMNiertpUw/6gDZvruAnrEhZOdU9Fgn81NEraKxjNK2wr2032oN6U2DV/+vp3YVoFcmdYarNVEBekpqbLz+/oid0LIHrGB6HI3kdy6Ey3CO1BVa8XphLZR/rBlGQ65cTFo3jAbTad7eeSLDG4cEsPEh9LwEm3I5kqclgKcVgMbDtrQGF1FcX9emOFu2yU2jHeO+h4F+xsw1uRgtzVMbAlg3TYfW3g3rh8Uwxv/2+Cxbt+hMgZ0iQLgSGE1B/KqaBNuauC7pXB6SJJMUbmZ2Ho5jqTC/QgGX4QzTHJ4uSH6BKNu0x3HvlXY1Vo0cQMRODNRE+CjZ3j3Fsxans3f6w4xrFuLs2ytgsL5QRFHFyleKitVK76nZsexEPTyJd/h2/MaTPFXINVWATKCwQeLYMRxXBJmWRDIK7fwv7m7yDhc7ipf0qcNXWND0YlgNKjQm/Mp/P4N5KHPuIURuML7R/drQ6tmPuzPPTZiohIF1LING6BtHosQ1ArRWoklcwOyzVXItry8mh/mZQMQHapjYAsz5ct+xr71ICG+wXTsO5Id5mgKy20YD67G2rEf7/y8iz0Hj033jRvQjoHmApryJnJWleDvrSYyxJsDeVVclexPyZwp2I4cq7WW2jqZqojrOKQ2EB3pS9YRl9CTZdx16fy8dVBV0OTfQLaZ0YgSpeUWQgOMHtN/AT56j+i/dTvzad/cF5tNyYb9TyiutOBwyu7IRhkZZ2EWYoBSMuR0UAVFgdOOI3s9stOONmEIZ/o6aBPhS7fYUGYty6JtpC9tj4tsVVC4GFHE0UWISiXgyNvrIYzqqFg1E11IS4r/+gzJUo2o9yZw2L2IIR2wSaqj7UWy8qv471fr3O2Kyy188fsOMg+Xc+fQVugc1djK8wgafh/VWi0BPnpKKy3u7Sf/soUJ1yRQXm1l3Y58RFGge1w4xkA99rFvsCarli0Hagg0qRk2bAReh1fj2PInFsH1Uott5c+wFlUU/vCme5/24iOwYArJ3UYitmqF5XAl/1uQ7SGMwCU0+nWPhd2rG+0fbVhrgoP8GNxNTbsQNSWz38eWm+GxjS17Ez4qNbX+w7h9eHve/G4TVbV2NGoRnVaF1eZ0iZ3Alk3/HUwBFNXKFJS6Cu/WF0dXpEYx7e9jNd4CfPT/KPpQwUV+iSv3l1scVRYiW6sR/cLPp1kXJarQaBBVOLLWYTVXIHYZBRhO2q4xesWFc6Soms9+38l/7+iCUX9muZQUFC4UFDeIi4i66XytbKVq3e9Nble9ayXGtp0BkCzVFM16F421xN3e6pT57NeGxW3VKoFBCb7ULvqCnC8epei39yn45Q1sf7/HqzdEe2SyrrU4mPh9OvPWHuS+a+KICPFm0YZD5Fm0PPVtJt8uPMi2zGKWbM7nyak7SRcT8R7+MCv31nD74JY8d01LbCu/a9T+qnWzMRiNOFt1Y+W2hqVUCstqoVksorFhqRQAU+/xvPXzLr6avZMArb2BMKrDum8Dic11+AvVvDU6kI9ua0V0sIqrerhGISprbBRKvqj9Qhttr0kdw/Q1hUSGeHvUlBvesxWllRZKKo6JyV4JzbArNdT+MfkltahVIj5G18vXWZgFKg2CT/B5tuziRBXcEk1sP6SKQmoXf4UlL/OM9iOKAsO7t6TG4mDagsbvNwWFiwlFHF3gCIKAUxCotDg4UFRDldWJRVYhOZt+0UrmKkRd/S9Amap1v6FVuaaLrHZngwgwgIEp4QRkzaM2Y73HcnvxEeT573HvkKgGbQw6NYIg0K1TGGmJEfzvz92NFr+dOn8/1sB2jEz2JjX3Z8TyHKTaygbbucyVcFSX4RDUDXx0xvRvy4PXJvLX9kqMI59HG9HevU7lE4TfyKf4e6+Dg/lVaNRi08c42i9qyQo1Jdj/fBvNrrno7FUM6tqSq9JaoVaJvD97P/Kgx9G1jHe3EvVe6NJuZkNVGEXlFjq2DmRU32gevDaR1+7tgSzLfPfXsVGjCdfE461Xo1aLOBGwyygh52dIXmktAT46d2ZmZ34mom/YGUddKYDoE4I2fjCCwZvSRd9i2TQHydZ0vcOm8PXSMiAlkrU7C9iUUXTyBgoKFzDKtNoFjCCAVZJ567uNHr497Vv489jIR3H8/EyDKCoAffMOWA7t8lhmKzqMl2QHdKhEodFCqld08sUyu/EyGo7yAiIMNnQaFdajIyB+3jpuGBzDy1+s4Z5R8cRFB7pLdByPLMPug+V02PkZtoJsBHHkCc9d1Ggx+vrhpVe7o9mu7NUam93JW99uBGBZuo5RPa4lpbuBQB8tO4+YqdAF8d0C13Sb3SHhOGEuFwGjyYS6rBRp+IOUeLWiqFpHgC+ktA9lWLcoqkuLEUQVpoF34+2wUV5RQ4VNxax1xZRXl/HMLanoZBsLNxyiQ0t/4tsEkpYYgVGvwWTU0LlDKMH+RqqqrWzcW8TsFdnUmO0ktg3mmv5t8NKKILumOmVZVrJnn4ScomoCTK4wfslWg1Seh1oJ4f/HCDoj2tj+qMoOULMvHXteBpqYNNQtkxGEUxfysS392Xu4nG/n7SUmyg8vZXpN4SJF+Xy9gHEiMPH7TR7CCGDPwTI++vMg2i5jGrQRjT7oI9tjObzbY7kmKBJJcD2odBqRxLYhDdqqZTtITWcXNslV3Di0PQO6RHHX1Z2475p4Ppu1nYJSM1P/2NloJuv62Gw2ZKerfpq9LB9NcMORKABBa0Ab1gZjdQ5je7umuNQqgaSYYGavyHZvV15t5ev5B3jg8938vtVMYFgYNrunuNiRY0cbEdPocfTtuqJy2pBqKxD8IzEU7KB5yRoCrDlEGyqpLC4iMNAHlcNMRX4OtQ41Zn0IVYKJIT1a0ysxgv0HC9EKDsb2b0dYoDf5JbUE+ugZldaKfonNMOlc/kuf/radj2Zs5XBBFaWVFhanH+bFz9ZgdsjsL6jm5yWZLEw/gtkhg5I4slFkWSanqIZgP9eoqJTvmgISA5SSIWcDQRDQR8agTx6BGBCJfecirMun4iw9fPLG9fYxsHMkVpuT6Uuy/kVrFRT+XZSRowuYWquDzCPlja7buq8Y6ao+6I9sxnJgBwgixrad8UkeTMn8Lxts79N1JLWSiCC4hMZdIzvx/KerPZys7WjQqbXIjoYFYAEEn2BWLsnF26BhV3YJucXHht6PFFYjigKtI3wbDfEHiI30xr7aVUS2YsNcgofeTeFv7yNZ603xiSp8hj/Mz2tL8DX50C0xBJOPNyu25rMzu6TJvpq+aB+9EiLwN+nw8dJSWeM6h/8tOsTrN9+Jfv03WA8dG9UytkvFp/tICn54GdluIez6F9A2i6B8zW+ULZkGgEHvhbPbWEr8OvHStEwcTs/yK6IAkycksXhLIVPnHRNtQX56Xr6zO95aEVEUKCitYcMuz6g3tUrk/rEJvPHNBnfqAoDv/t7DQ9cmEd86AEHx4PagrMqK2eZ0iyNH/j5EUxCCRn+Slgqng6DRo4nughTWBsf+dKyrv0cdlYAmtj+CWnfS9iajlt4J4SzYeIReceG0ifQ9B1YrKJxdFHF0AVNjPnGNqBqbTMTQh/GXXEHtskqHszAbZz0/G1FnJGDovdgMIdickF9ixmJzEBHizXO3prL3UBmZRyoI89UQ4GdETBxA5cY/GxxLExyFVePL3oN7mrSnstrGHVfG8tIXa3E4PV/sQ7s1x0dtRX/Nk1Sm/405ewulS74nZOQjWPOysRUeQBUURW14Mp8sK2TdnlwAftDv5fX7upMSpWXulqb9h5ySTGmlhfAgL24bEcsHP28BXI7j//l2N+/ffSeh9iJkhx1BrcVyaCcF37/oFoKCqKboz09wlB1zAJcsNdQs/YaoYRMY2bsVM+p9CatEgcfHxKDXqvh5ueeXdXG5hTe/3cBLt3fFSyuydmdDp/KeCc1YuTXXQxiBa/rxw182M+WJfhhUyghSfY4Uuer/BfvqkR1WpKL9qKLiT9JK4UwRvQLQdByAVJCF4+AWnMUH0KWMRPQ9eWRgQnQQ27NL+XbeHl66LRWV4mOncJGhiKMLGJNX0/P1ogBeejUWpwAc3c4B6uAYQm99B9lcSV2eo1rBm/SMYj79dbu7VplaJXL9oBi6x/jRrXI+9uJcqr/LIHj4vZgSrqBq+1KQXL5Fuuax6PrfzeEqAZUoNJg+i47w4fYrImhhrKDWDu8/nMb0xZnsOlCGn0nHqK7BtBJyqJj2OpUqNYEDb0PUGanZvZr8n1/HEJ2M14C72Fcksz2jmL05xwRDjcXBh79s44nuFjq3iGZ6E/0R3zYIg07N01NW0jO+GU+MT2HG4n0cyKvES69BrRIpmPYG0HA0RjSYcFqqPIRRfSpW/MS11z7HsM7dWbGtAB+Dig4t/TEZ1Dw7dVujhW2PFFZTY3Vg1Kkw6tT0S2lOdIQvZquDFVty6BIbygc/bW70eLIMWzKKSIsLU3yQ6nG4sBqtRsTHS4szdzfITsR/UEBV4eQIgoAqrA2CXyiOfWuwrJyGNmEo6shOJ2wnigIDOzdn2vy9LN2cyxUpSh4qhYsLRRxdwBg0KlLah5C+p2HG6bTECPQaFUieL0+HE6oxgs5VXkGQoaTaxuTpW4/bTuK7v3bTMSoV5961SGbXV3nRnI8xJfQj9JonQaXGafDHqTEx4cN1pHYI46re0fy69Fi4b0K0PxP6mLAveJOSGtd0mqD34o6RT2HvG4otayPS5unYylzTabLTTvHfXxA27j/U7F2HNuVq8pv14qef9pJbXENkiDf3jIxja2Yxf685AEBWTgU23xh8yjLp2j4IlUZD7yTXw1alEti1v4R+yRGEqKv44JYWlFnVrM0qpU9yJOMCjYQFemE0gb1lHJYD2xr0pdo3GHtxToPldTirSnGW5aIuK6B/537U2EXUKpESq5NDBdVNtjNbHDi9NXSJDeNgXga/L8/C5KVlUNcWhAV6uQsAN0ZFjQ3OMGvxpcqB/CpC/Y0IgoAjbw+CdyCi/syLpyqcOqLehKbjFTj2b8S2ZQ6ypRJ1m+4nzKwdHmgkPjqQWcuzSG0fgo+XtsltFRQuNJSxzgsYQZa5d1QcPeObuX10RVGgf+dIbhraoYEwanQfoshvy5p2jJy54iCa9n2OLZAlqrYsomD6mxTP/ZidOVaW7yqnutbOkvTDGHVqHrw2kTaRfvh6a7l/aHOsf7yFs+aYn5FsqYH8vVj/moRt1fc4jgqjegehNnsLQeNfY6uxGy9+vYVd+0spr7KyI6uEt77bSGSIN/Ftg9wtnBLYln/NnUNaEhnizaSfNvHmtxt4/Zv15BbVoHfWUPLLa1Tv24TotNGtnS+J0X4s2nAIlShwqFSirOt9OEa9hWbIY2gCjk0NqLyazmUEIGj14HRStvQHKopLuPftJbzwxVrySmq4unfrxtsI4O+jo7TazuMfLGfZ5hyKys1k51Tw5ewd5BZXE30CX4ykdsE4T5Cu4XLEJY4MyA4LUkEWYqAyanQuEUQV6tZdUEV2wr5nOY49y5EbGYmtT1pCM2QZZp7gGaSgcCGijBxd4KhkmTtGxDJ+cAxmmwOjTo1OLZ6SMAJwSDL5JQ1zGtVRUGpGahNYb4mA2jcIZJcosNgk6teS/H7eHkIDjPTv3JxWzXwQD61GdjacVlIZfXBWNe1A7SgvoEQO5Os5jWe5/nHeHh4Ym0h+cQ3d48LxMWqQOvVjybYifll80L2dLLsyZkuyxK2jXuWLuRlsnrcPWYbwQC+evqUzizceZs7KbLcfVLC/gaeveQyv9VPRR7bDJ74f9rJ8BK2h0dQIPkkDqd69GmQJoSIHP28decU1vPG/DTwwNoGYKH/2HvLM4t03ORK1WuDLGTvcqQ/q8+2fu3n0umSe/3QVxwf5tW/hT5CvHllxyHZTbbZTUmGhe2wozrwMkCVUgUodr3ONIAiom8eBSoM9cw0IIpqYtCa3N+rU9IoLZ1H6EfomRdAqvPHErQoKFxrKyNHFgCShVwn4GzToRIEGb9MToBYF2jZveoSiTYQvYrnLoViTMBTVmDfITHyI/amPI1z5AhUOLc2CvT2iywtKa/lx/l6Wb8mB4gON7tdemoc2tFWTx3WEdqC8ytqocACXr5GvScfYK9rhdMrsKddi73wDv65qfPprQGoLXvhqE5syit35m7yNGrZkFPHbsiwPB/GiMjMvTtuNMORJzB2upDIjnbIVvxBy9UOIBpPHfg1tO2NKHoy9zh9JEDy+ln+Yt5dbR8Ri0Lm+M3RaFSP7RDN+cHscDpkdWY0LxKIyM8UVtbx5fy/aHy2i6qVXM7Z/G54Yn4JKEUYeHMhzOeOHBRpxHNmB6BOCcHTqWOHco27WHlVUAvZ9q7Dv33DCbRPbBBHsb+C7eXuRlOta4SJBGTm6xJGcEsN7tmLB+kMNIshEUWBo9xbIu7eh7TmepVWt+OWLXW5xIQpwy9AYQnzUjBsYw4/z93q0L6+yomnTFvasaXDcqm1LCB7xAJaDOzneCVrUe2EN7YTTJiMKkNIhlN5JEahVIjVmOwvWHWLvoTKsR4u0hgQY+WlBBjcP64DZ2jCCr658R/20BAADu0Txy6LGSxnUWhyk7y2md1IzZK0WW3421Xs3EHbd8zhK83BaqlH7BmPNyyT32+cIufIBiv78HId3OBXVx1IClFZa8NJrmPRIb2wOCa1aRK8WkZwSwtE+Pj7Ldx0lFRaSooN48oZkHLKMgIBOLeBUnLAbkHGkAqNeja9Yi7XkEOo23c63SZc96ohYcNiw71yEoPVy/d4IoigwICWSHxbuY/mWXPomRZxjSxUUTh9FHF0GeGlVvHJXdz78ZYu7bEiwv4F7RsYhyQLq5CtRy3Z6lZXRs3U0ZVY1P60qZPeBMr7+cy/tw7X0jA2gTWRXFm44REmFhZgW/nSJDcXoZ6VixS/Idk9hItVWIuiMBFzzDJULvsRR6SonoItoizrtDv476yDjrojhyZs6s+dAKZ/M3EatxUGgr56RfaLpER+OTqNi674i0vcUMqhrFCEBxkaj5SJDTOxrJB+Uj5eO4nJLg+V15BRVI8iga+EKB/dum0LetBcBAVGrd6VEkF1CpXTZT/gPu58vVnmWRRAEUKsFtAJoNa6BWMnpaqNVCXTrGMbq7cf7XLno3D4Uu92JAGgF174UYdQ4+w6XExnkhXRkB6g0ir/RBYIqKgHZZsa2ZS6CwYSqiejByGBvOrUOYPrSLJLaBeOrOGcrXOBcEuJIkiSmTJnC9OnTqaqqIjU1lRdffJHmzZUHKIAsyUQGGnn17u7U2hzUWhwcKaxm2t970GsEnr0ylJp5HyGVul7igV6+PJJ2K78Gh/H3hnx+X1fInQNUhAX4MbpPG2qtdsICDdRU1bCtQKT51f/BvvAjHOWuRIeC1oBfz9FYDu1EFdsf7agXMQkOtGoByVyFzWFjwpDmlDhkVmzO9RAPJRUWvpq9kzuu6ohBp2JHVgnP3JLK7OVZ/LnqAD3im7Fii+fUWrXZRniQX4Pzrqi2EuJvoLCsoR8RQJtIPxySzPIdlST3uhHJZka2u3JGOY8Te7a8LKyikaVbsz2Wp3YIRa8WG5/qlGVuGtqBXQdczub1GTewHUatClEEq0Mmr7iWsioLLcJM+Bi1iMr0gxuHUyI7r5KenUJwHNyCGNQKQbwkHl0XPYIgoI7uisNuxrp+JvpeNyF6Bza6bd/ECLJzKvlhQQb3jTxxKgAFhfPNJfGE+fjjj/nhhx948803CQsL45133uHOO+/kjz/+QKtVvlAAnE4JFWDSqvDSqdmfW05ZlYXXxrelYsaLblEA4KypwPn3B4wa9RKrd2kprrSxJUdmysxlSJJMZIg3E66Jo7C4lven7yAi2Jub+j5ApI+MIEvY1UYcVKNVi0ycvodWQRqGNCulfMX/3Mfx0nthHPtuk6MqP83fy4t3duO2Kzvy6axt5BXXoFGLPHVTZ8oqLeyoly07v6SGO6/qxO/Lsjw0yvz1B7kyrTVfzW5Y783LoCG2dSBZOZV8PncftwxszaCgpsPyAaprPQVTeKAXd1zZCUFuPGZHlsGkV/Huw71ZuyOP9TsL8PXWMrxHKwJ9dKhEKKq08cqXaz2K9ca2CuDR65IUv6Oj7DtSgd0hESkWI9tqUYe1Od8mKdRDEEXU7Xph37kQ6/pf0PW6GbGRmoZGnZp+yRHMXXOQLnsLSYlpWMJIQeFC4aIXRzabjalTp/LEE0/Qt29fACZNmkRaWhrz589nxIgR59fACxBRlkmLa0bPjsHI2/+mwm5tdDtp068MS72KaoeKNTvz3b4zRwqrySsx8/08V76jnKJq3py+z6PtWxO6U11jJTvnCPf2Csfy2+fHGaEiJ6dh/qY6aiwOJElGlmXyjpYpsTskJn6fzrgB7RjZN5qySiuhAUZKKy2UlFbwxLWxvDdjt9u3KutIBaP6tOG6gTHMXLLPnQAzPMiLu67uBLLMuh0ucfbtwgN0uTsWV26hhqJE5e2PKSCAW0fEUlphoVUzX1o288GgEXA4mhYxkiQT4u9Fn/hwenQMQyW4hKosy1gd8PKXaxskkdy1v5SfF+7jxkHt3FN0lzM7skvwNqjxz9uA4BeOaFTKUVxoCGot6pg+2HcswLZ+BrruNyCoGiaxjW3hT8bhcv73916iI3zx8z55ORIFhfPBRR+ttmfPHmpqaujevbt7mY+PD7GxsWzYcOIoissZu92JViViy9vX5DbO4oO0CtaRGhvWIBGlUa9u4ABdn305lWzaV8rApBDY+keD9bLdislwYm3uZdBwMN+zZIjV5uTbP3fzxjcb+P7vPUiSxPs/baa4qJzWhUv44I52PD46mgdGx/L+w704UlTNkaIqnrqpM8/cnMpzt3Xh6t7RfPbrdnYfKCOxnevrVZZh8c4KtPGDGrVF0+smXvslg4XrD5F5pJyNe/Lx1qtPOYO1JMnITgmHQ0KWXdMRR4qqG82uDbB00xEsiv8RAFuzSojyFZCrC1E163C+zVFoAlHvhaZDb6SqYqwbZyFLDSNRBUFgcKrL3eGz33fiPMWUJAoK55qLfuQoP98VYh0e7lnvJyQkxL3uTFCrL3rdeFJkQUATGIk5q/EyFmrfEKJbBPHOL3sajbhSq0QcTYxs+HnryC+uJcxPgzOv4d9BtlsJUNV4FImtT6foQNQqgYhg70b375RkrHYngb4GdBoV2w6ZiQ9R4ZjxHK18ggjsdyNFtTI/HY2wW7klt+FOBIgKPbb/mStziBrVk5grWiFtno2jshhtaEt808ZRJPkS4FNIgA8M7tqC5qEmtOLRnZwAlUr0+LcOURQoqWhaXDqcEg6nhFF/8dyi/8Y9k1tcQ25xDUmB+xFNwaj8whCExvu8rnyX699L//4925yN/hNNQQjte2PbtQT75t/Rdx6JIKo8tjF5abm6V0t+XLiPGUuzGD8o5p8ZfgFx/H2ucPFy8Tx5m8BsdjnbHu9bpNPpqKhovDr8yRBFAX//y6MsgS5pAJUb5rqjsurj030UGw5VN0hwCLB+ZwFpiREsST/cYJ1BpyY60g9fbx0btx8iLrB5o3XL5DXTeOGmx3jx660eIfqhAUauHxTD01NW8vJd3dFpVI3mQ+rfuTnLthzhvUd68+ea/ag6XoG4ZxnOymIq0v/G2PNGWob7uHPk1EetEgjy1WPQa0hsF8yWDFcU2qRfM2kZ7sO4XhNIaumNde8qSuZ+hCioeOSap9AGR6HRnP5t4+NjaLCsdUTT00O+3lq8DFr8/Rq2uxD5t+6ZeRuPoFVBc2sm3vGD0XidfBpGr1f8DP8J/7j/jFHYNP2p2roYx+bf8Uu7FvG4KbaOJgPDLU7+WJFNZJgPI/sofmQKFxYXvTjS6/WAy/eo7v8AVqsVg+HMXiySJFNZ2XRW6UsJtdqHkGuepGj2h8eyQ4sq/NPGoQltRVs/PY3lnVyxJYe37+9BXlEVew6Vu5cbdGpeurMr3joRXZAXOwxGaDUCMjdyvC+Po+QIUbpq3r0lmv3VBo4U1RIRYsLHS4u/SceNQ9rz95r9PHFjCu/9sMlDQCW1C6ZPciS1ZjuLNhxkRM/WVNbaCL3uVWrXTseSsQ5fRwUPXt2G56ZuxWLzFFe3jeiIWiWiU8EDY+LZe6icuav2Y3dI9EmKoG10EOYtv2M9shtDq0RMqcNx6AOorrYCjftoNYZKJeLjY6Cy0ozzuFE2f28d0RG+ZOU0FPE3DGqPRpQpK6s55WP9W5yK6Pk37hlJlpm3Zj+t1QVogyKw6wKw1zYcZaxDFF0vdovFdqoJ5BXqcVb7zysUbYfeWPasoPDvqRi6jkE8LmlnpxZ+FJeG8tXsnVRXWxnWvUWTo4IXC3X3u8LFjyBf5DUKtm3bxtixY1mwYAFRUVHu5ddffz0xMTG8/PLLp71Pp1OitPT8v5TOFTqNgEEwYysrRHbaUfuGYhUM2CQVCAJ7jpTz7vebPPILJbUN4L7ePki1FdQExZKdW4W/j57mId7oVMcSH0qCgOywoincQ9XCL5DMVQCoTAEEj3gAUWug8Pf3QZbRNW+PHNgSY6t4BK9AHLIKm1NGFAUckszhwmpyCqtpHmqiqtbGvLUHOFxQxSt39eDjmVuxOyQ6tQ6kQ3Mv2oRo8PPWIah1lJphcfphdh2oIDTAQJ/kSMxWJ22a+SAcvfxVKgGnLCDJMlqVgMMhoVXLiJIDSVRjc5zZQ1utFvH396KsrKaBf5IggAOB//25m9Xb85AkGR8vLTcMiqFz+5ALJpw/ONh00m3+jXtmW1Yx70/fxhivjTRP6XnSIrOiKGI0aqmttSEp6ui0+Tf6T6oqxr53BYKoRps4HFWwZ9Z8WZZZuT2PNTsL6BUXzvhB7dBpVE3s7cKn7n5XuPi56MWRzWaje/fuPPPMM4wdOxaAyspK0tLSeP311xk+fPhp7/NyE0cneoEDIApYHTJ7D5VRXWslNsoHX7kCg7MKdUAktXghCII7uqwxdDoVWkc1krnSpQp0JiyCEZVKQO+oRLYe7W+9N2bB1KgdKpWAXYY9B8vIzqmkdYQvbSP9MGgELA6ZyhobFpvD5YekPjbcJYoCgkpFjdWO3SGj14hoVKdXhuVMOWnfgrt/bQ4neo0Kg0Y8ZUfvc8H5EEeyLPPqF8uoLS/luk7SKYXvK+Lon/Fv9Z9sq8WRuRapogBVsw5o2vVqkAtpR3YJ8zcewd+k5foB7UiIDrwoR5EUcXTpcNFPq2m1Wm688UYmTpxIQEAAERERvPPOO4SFhTFoUOORRwqniSSjEyEpOgAQkGUZUfTGJslYJBnXdNmJhYbV6sSKAbRHh5wlABmnU8aGN2iOOkY73Ssb4HTKiEBcS38SWgfidEpIkozDIaMGArw04KVx2+w2X5JBcqAXBfRaocH6887R/tVpXV/MF5IwOl9s3LCD/aUSV4VUoQqNP9/mKPwDBK0RdYd+SEX7cR7ejiV3N2JgC1Th7VAFNkfwCqRT60CaBXkxf+NhPpyxjVbhJgZ2bk5KTDAa9cU7kqRw8XLRiyOAhx56CIfDwfPPP4/FYiE1NZWvvvoKjaZhng2FM8fpPCaCmqoXdq7scDobL1ircPFTmr2L75ceopXORnRc7EU5gqDgiSAIqEJaIwa1QCo+hFS8H/vORdhlCQQRQWvEqDVwtUbDoRAfNpUF8fkfVejnOon3rSDJv5r2AQ50Bj2CwYRg8EX0DkQ0BSP4BCkZ0xXOOhf9tNq/gTKtpnC2uBT69lxNq8mSROWmeXywtJJCyY/x3f3wOYXotDqUabV/xrnuP9npQK4pRTZXItvMyHYbyA6QJJBlyuwa9lb7kFlrotSuRyM4idEX01GbQ6yQjZ94NABAEBF8glEFNEcMaI4qKAoxsAWCl/85F9bKtNqlgyK3FRQUziuyw4ojeyP71q5gWn47yghgdIovPkpx0ksaQaVG8AkBn8bLiIQc/UkDSmucZBXayCrS8Ut5KDLJRPgKdAhwEONVQUtVAfrKQhw5O+Fo1K2g90YMaokqqAXiUeEk+oYiqJTXnsLJUUaOGkGW5fM6bXQ+UKnEBqHmCmeHi71vTyWx3ancM05zFZKlGmdNJc7KYqzFOezIyCUrt5IdlmZkOUIJ8YZRXYII8TmzKXFRFC67e/dscjH0n9kmkVVoJavAyv4iK1UWCQEI99PQIkhLM2+JQLEKk70Yg7kAXU0eGnMZGsGJShTQ+AWj9g9H7ReC2hSIyssP0eiDyuCNoDMiag0Iaq3rR6UGUXVaI1BKIshLA0UcKSgo/OtU71pF4a/veSxLt7bk25reHss0OE6Sc1xB4RgyYD/DCZDHfeYSpS45+YaNEHH7O+jCW59RW4WLA0UcKSgoKCgoKCjUQxn/U1BQUFBQUFCohyKOFBQUFBQUFBTqoYgjBQUFBQUFBYV6KOJIQUFBQUFBQaEeijhSUFBQUFBQUKiHIo4UFBQUFBQUFOqhiCMFBQUFBQUFhXoo4khBQUFBQUFBoR6KOFJQUFBQUFBQqIcijhQUFBQUFBQU6qGIIwUFBQUFBQWFeijiSEFBQUFBQUGhHoo4uowoKCggJiamwc+sWbMA2L17NzfeeCOJiYn079+fb7/99jxbfHHw2WefcdNNN3ksO1lfSpLEhx9+SFpaGomJidx1110cPnz4XJp9yaD05YkpLy/nxRdfpHfv3iQnJ3P99dezceNG9/o1a9YwevRoEhISGDJkCHPnzvVob7VaeeWVV+jevTtJSUk8/vjjlJaWnuvTuCDYv38/SUlJ7mcmKPf6JYuscNmwdOlSOS4uTi4oKJALCwvdP2azWS4tLZW7du0qP/vss3JmZqY8Y8YMOS4uTp4xY8b5NvuCZtq0aXL79u3lG2+80b3sVPpy8uTJcteuXeUlS5bIu3fvlm+//XZ50KBBstVqPR+ncVGj9OWJue222+QRI0bIGzZskLOzs+VXXnlFjo+Pl7OysuTMzEw5Li5Ofu+99+TMzEz5yy+/lGNjY+XVq1e72z/zzDPygAED5A0bNshbt26VR44cKY8fP/48ntH5wWazyaNHj5bbtWsnz5w5U5Zl5V6/lFHE0WXE559/Ll955ZWNrvv000/lXr16yXa73b3s3XfflQcNGnSuzLuoyM/Pl++55x45MTFRHjJkiIc4OllfWq1WOSkpSf7+++/d6ysqKuT4+Hj5jz/+OHcncQmg9OWJOXDggNyuXTt548aN7mWSJMkDBgyQ33//ffmFF16Qx4wZ49Hmsccek2+//XZZll3Xefv27eWlS5e612dnZ8vt2rWTN23adG5O4gLh3XfflW+++WYPcaTc65cuyrTaZcTevXuJjo5udN3GjRvp0qULarXavaxbt24cOHCA4uLic2XiRcPOnTvRaDTMnj2bhIQEj3Un68s9e/ZQU1ND9+7d3et9fHyIjY1lw4YN5+wcLgWUvjwx/v7+fP7558TFxbmXCYKAIAhUVlayceNGj74D17Wanp6OLMukp6e7l9XRqlUrQkNDL6v+3bBhAz///DNvvvmmx3LlXr90UcTRZURGRgalpaWMHz+eHj16cP3117N8+XIA8vPzCQsL89g+JCQEgLy8vHNu64VO//79mTx5Ms2bN2+w7mR9mZ+fD0B4eHiDberWKZwaSl+eGB8fH/r06YNWq3UvmzdvHgcPHiQtLa3Ja9VsNlNWVkZBQQH+/v7odLoG21wu/VtZWclTTz3F888/3+A6U+71SxdFHF0mOBwOsrOzqaio4MEHH+Tzzz8nMTGRu+++mzVr1mCxWDweoID7gWi1Ws+HyRctJ+tLs9kM0Og2Sl+fHkpfnh6bNm3i2WefZdCgQfTt27fRa7Xud5vNhtlsbrAeLq/+ffnll0lKSuLKK69ssE651y9d1CffROFSQK1Ws27dOlQqFXq9HoBOnTqxb98+vvrqK/R6PTabzaNN3c1rNBrPub0XMyfry7r+t9ls7v/XbWMwGM6doZcASl+eOgsXLuSJJ54gOTmZiRMnAq6X9PHXat3vBoOh0WsZLp/+/e2339i4cSN//PFHo+uVe/3SRRk5uozw8vLyuEEB2rZtS0FBAWFhYRQWFnqsq/s9NDT0nNl4KXCyvqwbYm9sG6WvTw+lL0+NadOm8eCDD9KvXz8+/fRT9+hGeHh4o31nNBoxmUyEhYVRXl7eQABcLv07c+ZMSkpK6Nu3L0lJSSQlJQHw0ksvceeddyr3+iWMIo4uE/bt20dycjLr1q3zWL5jxw7atGlDamoq6enpOJ1O97q1a9fSqlUrAgMDz7W5FzUn68v27dvj7e3t8beorKxk165dpKamng+TL1qUvjw5P/zwA//3f//H+PHjee+99zymeDp37sz69es9tl+7di3JycmIokhKSgqSJLkds8GV66egoOCy6N+JEyfy559/8ttvv7l/AB566CFee+015V6/lDnf4XIK5wan0ylfc8018rBhw+QNGzbImZmZ8uuvvy536tRJ3rt3r1xcXCynpqbKTz/9tLxv3z555syZclxcnDxr1qzzbfoFz9NPP+0Ryn8qffnee+/JXbp0kRcuXOiR+8Rms52PU7ioUfqyabKzs+WOHTvK999/v0dus8LCQrmyslLOyMiQO3bsKL/zzjtyZmam/NVXXzXIc/TYY4/J/fv3l9euXevOc1T/er/cqB/Kr9zrly6KOLqMKCoqkp955hm5Z8+eclxcnDxu3Dh5w4YN7vVbt26Vr732WrlTp05yv3795O++++48WnvxcLw4kuWT96XD4ZDffvttuVu3bnJiYqJ81113yYcPHz6XZl8yKH3ZNJ988oncrl27Rn+efvppWZZledmyZfKIESPkTp06yUOGDJHnzp3rsY+amhr5ueeekzt37ix37txZfuyxx+TS0tLzcToXBPXFkSwr9/qliiDLsny+R68UFBQUFBQUFC4UFJ8jBQUFBQUFBYV6KOJIQUFBQUFBQaEeijhSUFBQUFBQUKiHIo4UFBQUFBQUFOqhiCMFBQUFBQUFhXoo4khBQUFBQUFBoR6KOFJQUFBQUFBQqIcijs4CN910EzExMR4/nTt35uabb26Qmr9///4888wz58SuI0eOEBMTw6xZszx+r//Tvn17kpKSGD16NDNmzDgndl3o/N///R+TJk06L8det24dMTExDcq81DF58mRiYmJOa5/Z2dn079+fysrKs2HiRcGZ9NPZ4qabbuKmm25y/x4TE8PkyZPPyr6rqqq44ooryMrKOiv7OxEn68NnnnmG/v37N1j+zTffcNttt/2jY5/Kc/Kpp57iiy+++EfHUVBoCvX5NuBSITY2lpdeegkAp9NJWVkZP/74I3fccQezZs2ibdu259nCY9x333307dsXAFmWqampYfr06Tz33HM4HA6uu+6682vgeWTNmjUsWLCAefPmnW9TzhqtW7fmiiuu4NVXX+Xtt98+3+Zcdvz888+EhYWdlX299tpr9O/fn+jo6LOyv3+DZcuW0adPn3/9OI8//jhXXnnlBd8fChcnysjRWcLb25vExEQSExNJSUlhwIABTJ48GVEU3SM3FwpRUVFuW5OSkujVqxeTJk2iZcuWfPPNN+fbvPPKG2+8wa233orBYDjfppxV7r77bubOncvOnTvPtymXHYmJiWdFHO3cuZM//viDe+655yxY9e9QW1vLxo0b6d27979+rNDQUEaMGME777zzrx9L4fJDEUf/IgaDAZ1OhyAITW5TVVXFG2+8wYABA4iLi2PEiBENprecTifff/89V155JfHx8fTt25eJEyditVo9tps/fz5XXXUV8fHxjBo1ij179pyyraIo0qFDB3Jzc4FjU3Bff/01Q4YMISEhgZkzZwKQkZHBPffcQ3JyMsnJydx///0cPnzYY3//+9//GDJkCHFxcaSlpfHyyy9TXV3tXr9q1SquvfZakpKSSE1N5b777vOYKmhsWH3WrFnExMRw5MgRwDXsP3DgQKZMmUKXLl3o1asXFRUVAEyfPp3hw4fTqVMn+vbty+TJkz0qZzfG0qVLycjIYPjw4e5lkydPZsiQISxYsIARI0YQFxfH1VdfzebNm9myZQtjx44lPj6eESNGsGbNmn/c7kxYunQpo0ePJj4+nsGDBzNnzhwGDhzoMZUTHBxMt27d+Oyzz/7RsS5WZs2aRWxsLFu3bmXcuHHExcXRr18/vvrqK4/t5syZ476HunXrxhNPPEFBQYF7fWNTZCebfqrfpm7adM2aNdx+++0kJCTQs2dP3nnnnZNen5999hndunUjKCjIvax///5MmTKF119/na5du5KUlMTjjz9OTU0Nn3/+Ob179yYlJYUHH3yQsrKyf3Qep8KaNWsICQmhdevW7uP8+OOPPPPMM6SkpNClSxdeffVVLBYLb731Ft26daNr164899xzDZ5np8KVV17pvm8VFM4mijg6S8iyjMPhwOFwYLfbKSoq4t1338Vms3HNNdc02sZisXDDDTfwxx9/cOedd/Lxxx+TkpLCc889x6effure7sUXX3QLqE8++YTx48czbdo0JkyYQF1pvMWLF/PQQw8RExPDRx99xNChQ3nyySdP6xz2799PVFSUx7LJkydz11138fbbb9OzZ0/279/PddddR0lJCW+99RavvfYahw8f5vrrr6ekpARwvWDeeecdxo8fz1dffcX999/P77//zv/93/8BcPjwYSZMmECnTp345JNPeO2119i/fz933303kiSdls25ubksW7aMSZMm8eyzz+Lr68tnn33GCy+8QPfu3fn0008ZP348X3zxBS+88MIJ9zV79mwSExMJDQ31WJ6fn8+bb77JvffeywcffEBlZSUPPfQQjz32GGPHjuWjjz5ClmUeffRRLBbLP24HIEmS+3qq/3N8/6xdu5YJEyYQHh7O5MmTGT9+PC+99BJ5eXkNzm/IkCEsXryYmpqa0+rjSwVJknjkkUcYNmwYn3/+OcnJybz99tusWLECgPT0dJ566ikGDRrEF198wbPPPsvatWt5/PHHz7otTzzxBCkpKXz66aeMGDGCL7/8kunTpze5fU1NDYsXL2bQoEEN1k2dOpW8vDwmTZrEfffdx5w5c7jmmmtYuXIl//d//8djjz3GokWL+PDDD8/6eRxPY1Nq77zzDlqtlilTpjBy5Ei+++47Ro4cSV5eHhMnTuSmm25ixowZfPfdd6d9vKSkJEJDQ5kzZ87ZOgUFBUDxOTprbNiwgY4dOzZY/thjjzU5Hz5r1iwyMjL46aefSEpKAiAtLQ2Hw8HHH3/MddddR3FxMTNmzODxxx/n7rvvBqBnz56EhITw1FNPsXz5cvr06cNHH31EfHy8e4g5LS0NgHfffbfBcetevHX/Lygo4LvvvmPPnj28/PLLHtsOHTrUQ9w9/vjjGAwGvvnmG7y9vQHo3r07AwYM4Msvv+Tpp59m/fr1REZGMn78eERRpEuXLhiNRveozrZt27BYLNxzzz1uIRIWFsaiRYuora117/dUcDgcPP3003Tu3BlwjcR9/PHHjBs3jueffx6AXr164efnx/PPP89tt93WpP/X2rVrPUaN6jCbzbz00kvuqYLMzEzeffddXnvtNcaMGQO4phMeeugh9u/fT4cOHf5RO4Bbb731lM5/8uTJtG3blilTprhHKAMDA3nssccabBsXF4fdbmfjxo3nxCfkQkOWZSZMmMDYsWMBSElJYcGCBSxdupS0tDTS09PR6/XcfffdaLVaAPz8/Ni+fTuyLJ9wBPh0GTt2LPfffz/gun8WLlzI0qVLm/T327hxI3a7nfj4+AbrvL29mTRpEmq1mh49evDrr79SUFDA9OnTMZlMAKxYsYJNmzadNfubYsWKFQ2eIW3atOG///0vAF26dGH69OnY7XYmTpyIWq2mV69ezJs374zt69Sp0z8efVVQOB5FHJ0lOnbsyCuvvAK4HsKVlZUsX76cSZMmUVtby6OPPtqgzfr164mIiHALozquuuoqZsyYwdatW8nJyQFo8NIePnw4zz77LOvWraNr167s3LmThx9+2GOboUOHNiqOnnvuOZ577jmPZSaTifvuu49x48Z5LK//wgaXgOjSpQt6vd4tsLy9vencuTOrV68GoFu3bvz888+MHj2aAQMG0KdPH6688kr3yyUhIQGdTseYMWMYMmQIvXv3pmvXro0++E+F+jZu3rwZi8VC//793fYB7qiaVatWNSqOamtrKSkpITIystFjJCcnu/9fN62RkJDgXubn5wfQICLsTNu98sorjYrtX375hV9++QUAm83G5s2buf/++z1e3EOGDOGpp55q0DYiIgLAPS15OVL/XtNqtQQEBFBbWwtAamoqkyZNYsSIEQwePJg+ffrQq1evf0VIHn/Ph4WFue1ojLq/WWPXZ3x8PGr1sUd5UFAQRqPRLYzAdZ2d7tTT6YrBffv2UVJSQteuXT2W1z9XlUqFv78/HTt29LDZz8+Pqqqq0zpeHREREedE+ClcXiji6Czh5eVFXFycx7JevXpRW1vLl19+yc0330xgYKDH+oqKCoKDgxvsq+4lWllZ6R5tOX47tVqNv78/VVVVVFRUIMsy/v7+HtuEhIQ0ausDDzzgjlYTRRGTyURkZCSi2HCW1Wg0evxeXl7On3/+yZ9//tlg24CAAACGDRuGJEn88MMPfPzxx0yePJmIiAieeOIJhg0bRmRkJNOmTePzzz9nxowZfPvtt/j4+HDDDTfwyCOPnPZD2cvLy8M+wD3KdjyFhYWNLq97MB9/vnU0Npp1Kk7bZ9quVatWDa4ncPkX1VFeXo7T6WxwXalUKrfoauy49X2/Ljf0er3H76Iouqemk5KS+Pzzz/nmm2/4+uuv+fzzzwkKCuLee+/1CM3/t+1ojLrrs7Frp7FrrKnr+HSoO5bNZnOPpNXHZrN5HGfZsmXuD6dzYV99O89UWCkoNIUijv5lOnXqxPTp0zly5EiDl5ivry8HDx5s0KaoqAjALX7qltV9+QPY7XbKysrw9/fHz88PURQpLi722E+dUDieiIiIRl+8p4LJZKJHjx6N5jGp/yU4YsQIRowYQVVVFStXruSLL77gySefJCUlhdDQUOLj45kyZQo2m4309HR+/vlnPv30U9q3b8/QoUMBGjionujLug4fHx8AJk6cSMuWLRusr+/MWp86YXkx5QIKDAxEo9E0+LtLktTo377u3I4X0QrHSEtLIy0tDbPZzNq1a/n222959dVXSUhIcI9snsl1+U+pf33WfYT8U052HnX3SkFBAc2bN2/QPj8/3+N+Wr58OQMHDjwrtp0OlZWVyjWtcNZRHLL/ZbZt24ZKpWr04ZKamkpOTg6bN2/2WD579mw0Gg3x8fF06dIFgLlz53psM3fuXJxOJykpKeh0OpKSkpg/f77H1+fixYvP+vl06dKFzMxMOnToQFxcHHFxcXTq1IlvvvmGBQsWAPDII4+4/SlMJhNDhw5lwoQJOBwOCgsL+eabb+jXr5/7i7R79+5uZ+26aDlvb2/y8/M9jp2enn5S+xISEtBoNBQUFLjti4uLQ61W89577zU5paTVagkODm7UkflCRaVSkZyczKJFizyWL1682GNKsY66/mzWrNk5se9i46233uKaa65BlmUMBgP9+vXj6aefBjyvy/rRa8A5mdKp+5sdf0+cKadyHqmpqQiCwF9//dWgfV5eHtu2baNbt26AazRy06ZN5ySE/3jy8/M9PhwVFM4GysjRWaK6upotW7a4f7fZbCxevJiZM2cybty4Rr/2Ro8ezQ8//MD999/PQw89RGRkpLvNAw88gI+PDz4+PowaNYoPP/wQs9lMamoqu3fvZsqUKXTt2tXteP3YY49xyy238MADDzBu3Dj279/vEfF2tpgwYQLXXXcd99xzD9dffz06nY6ff/6ZhQsXuqNhunXrxksvvcRbb71F7969qaysZMqUKbRs2ZL27duj0WiYOHEi999/PzfeeCMqlYqffvoJrVZLv379AOjXrx+fffYZn332GQkJCSxevJi1a9ee1D5/f3/uvPNOPvjgA6qrq+natSsFBQV88MEHCIJA+/btm2zbs2fPi8534aGHHuKmm27ioYceYsyYMeTm5vLBBx8ADX1G0tPTMRgMbud1BU+6devG119/zTPPPMNVV12F3W7nyy+/xM/Pzy0C+vbty9y5c0lISKBFixbMmjWr0dHfs03nzp3R6/Wkp6cTGxv7j/d3KufRrFkzbrzxRt5//32Ki4tJS0tDr9eTmZnJ1KlTiYiI4MYbbwRg9erVRERE0KJFi39sWx2ZmZmN5l1LTk52j+LJsszmzZvddigonC0UcXSW2LVrl4czs06nIyoqikcffZQ77rij0TYGg4HvvvuOd9991/0yb926tUc0E7iy4rZo0YKZM2fyxRdfEBISws0338yECRPcfkKdO3fmiy++4L333uOBBx4gMjKS119/nXvvvfesnmf79u35/vvvmTRpEk899RSyLNOuXTs++ugjrrjiCgCuu+467HY7P/30Ez/88AN6vZ7u3bvz5JNPotFoaN++PZ9++ikfffQRjz32GE6nk06dOjF16lR3fpR77rmH0tJSvvrqK+x2O3379uW1117jvvvuO6mNjzzyCMHBwfzwww98+eWX+Pr60r17dx577DEPJ9XjGTx4MH/88QcFBQUNwvkvVDp37szkyZP54IMPmDBhAhEREbzwwgs8+uijHr5Y4Jr26Nu3bwOfEAUXffr0YeLEiUydOpUHHngAQRBISUnh22+/dftwPfvsszgcDt566y3UajXDhg3j8ccfd0dG/lsYDAZ69+7NsmXLzor/06mex/PPP0/btm2ZOXMmv/76K1arlbCwMAYMGMC9997r9idavnz5WR812r59O9u3b2+w/OGHH3aLo+3bt1NWVsaQIUPO6rEVFAT5RF6ACgqXEbIsc9VVVzF48GAeeOCB823OKbFo0SLCwsI8Itv27dvHiBEj+Pjjj92CNScnh4EDBzJjxoyzMvKgcO7Zvn0748aNY/78+U1GVV5u/Oc//6G8vJyPP/74fJuicImh+BwpKBxFEASefPJJfvrpp4smomvlypXcfvvtTJ8+nY0bNzJ37lweffRRWrduTa9evdzbTZ06lSFDhijC6CImLi6OIUOGNMjqfbmSl5fH/PnzG6QwUVA4GygjRwoKx/HSSy/h4+Pzr2RGPttYLBY++OAD5s2bR2FhIX5+fqSlpfH444+7I4mysrK48847+fXXXxsN8Ve4eCgvL2f06NF8/vnntGnT5nybc1554oknaNu27QVda07h4kURRwoKCgoKCgoK9VCm1RQUFBQUFBQU6qGIIwUFBQUFBQWFeijiSEFBQUFBQUGhHoo4UlBQUFBQUFCohyKOFBQUFBQUFBTqoYgjBQUFBQUFBYV6KOJIQUFBQUFBQaEeijhSUFBQUFBQUKiHIo4UFBQUFBQUFOrx/0DBw6nDvsOaAAAAAElFTkSuQmCC",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"units = {\n",
" 'BloodPressure': 'mmHg',\n",
" 'Insulin': 'muU/mL'\n",
"}\n",
"\n",
"# Set font scale\n",
"sns.set(font_scale=1)\n",
"\n",
"# Specify the variables of interest\n",
"variables_of_interest = ['BloodPressure', 'Insulin', 'Diagnosis']\n",
"\n",
"# Create pair plot for the specified variables\n",
"pairplot = sns.pairplot(df[variables_of_interest], hue='Diagnosis')\n",
"\n",
"# Add units to the axes labels\n",
"for ax in pairplot.axes.flat:\n",
" xlabel = ax.get_xlabel()\n",
" ylabel = ax.get_ylabel()\n",
" ax.set_xlabel(f\"{xlabel} ({units.get(xlabel, '')})\")\n",
" ax.set_ylabel(f\"{ylabel} ({units.get(ylabel, '')})\")\n",
"\n",
"# Show the plot\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig , axes = plt.subplots(3,3,figsize=(40,30))\n",
"index = 0\n",
"axes = axes.flatten()\n",
"for col , val in df.items():\n",
" col_dist = sns.histplot(val , ax = axes[index] , kde = True , color = 'blue' , stat=\"density\")\n",
" col_dist.set_xlabel(col, fontsize=40) \n",
" col_dist.set_ylabel('density', fontsize=40) \n",
" index += 1 \n",
"fig.suptitle(\"Density Histogram of fields in the dataset\", fontsize=50, y=1.02)\n",
"plt.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/1k/6tgzt4fj5lz2lfymwzmv_zb00000gn/T/ipykernel_70346/3181042173.py:18: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" sns.boxplot(data=df, y=var, ax=axes[i], palette=\"Set2\", showfliers=True)\n",
"/var/folders/1k/6tgzt4fj5lz2lfymwzmv_zb00000gn/T/ipykernel_70346/3181042173.py:18: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" sns.boxplot(data=df, y=var, ax=axes[i], palette=\"Set2\", showfliers=True)\n",
"/var/folders/1k/6tgzt4fj5lz2lfymwzmv_zb00000gn/T/ipykernel_70346/3181042173.py:18: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" sns.boxplot(data=df, y=var, ax=axes[i], palette=\"Set2\", showfliers=True)\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Define units for variables\n",
"units = {\n",
" 'Glucose': 'mg/dL', # Example units for glucose\n",
" 'Insulin': 'µU/mL', # Example units for insulin\n",
" 'Age': 'years' # Example units for age\n",
"}\n",
"\n",
"selected_variables = ['Glucose', 'Insulin', 'Age']\n",
"\n",
"# Creating separate subplots for each variable\n",
"fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(18, 6))\n",
"\n",
"# Loop through the variables and create a box plot for each\n",
"for i, var in enumerate(selected_variables):\n",
" sns.boxplot(data=df, y=var, ax=axes[i], palette=\"Set2\", showfliers=True)\n",
" axes[i].set_title(f\"Box Plot of {var}\")\n",
" axes[i].set_ylabel(f\"{var} ({units[var]})\")\n",
" axes[i].set_xlabel('')\n",
"\n",
"# Adjust the layout\n",
"# plt.title('Box Plot Age')\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.linear_model import LogisticRegression\n",
"import joblib\n",
"\n",
"from sklearn.cluster import KMeans\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.decomposition import PCA\n",
"\n",
"from scipy.spatial import ConvexHull\n",
"\n",
"from sklearn.neighbors import KernelDensity\n",
"from sklearn.cluster import KMeans\n"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"features = df.columns[:-1] # Adjust as per your dataset\n",
"x = df.loc[:, features].values\n",
"y = df.loc[:, 'Diagnosis'].values # Adjust the column name as per your dataset\n",
"\n",
"# Standardize the features\n",
"scaler = StandardScaler()\n",
"x_scaled = scaler.fit_transform(x)\n",
"\n",
"# Perform PCA\n",
"pca = PCA(n_components=2) # You can adjust the number of components\n",
"principalComponents = pca.fit_transform(x_scaled)\n"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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fP5GWLVvRrFnzsgQJe/fuISQkhHr1LJMBx8XFExYWTmxsLI8//jRXXHEljRsn0blzF9LSrmbfvj0OtxkTE8vs2XO54457MBgMfP31Fzz55KMMGTKQOXM+KluuSZNmTJr0PH36XEzjxkmkpvagf/8B7N1ru+4rr7yaiy7qS/PmLbniiis5cyaP8eMn0rp1Cv36XUZKSjv27dtbtrzRaGTSpOfp2vU8OnY8h2eeeYF9+/ayceOGKmX98svPuOCCntxxxz00a9acrl3P47nnprJt21b++WcjBQUFnD6dS/36DWjcOIn27Tvw/PMvMnLk/e4fFJWkq54Qolbwd1/2uspkMnHq1KmyiSuFEMKf1q7V2XTPq0xRNGRkaFi7VkefPv753bImhoiKiiYyMpJhw25g2bIl7N69kyNHDrNnz27A0m3OnvPO68aBA/uZM+cjDh48wJEjh9i7d4/D5a1iYmIZNWoMo0aNITs7m40b17Nw4fd89NEMYmPjGDr0ei66qC///beVjz6awaFDBzl06CD79++lQYOGNutq2rRZ2f9HREQAlHXlAwgLC7NJOBEZGUWHDh3L/m7RoiX16sWwd+8eLrywl826d+7cyZEjh7j88ourfIeDBw/QrVt3br31Dt544xU++mgGqak96NWrD5deenm1398bJHASQgS9QO3LLoQQomYdP65uolO1y/nCzp3badq0OZGRkZw8mc19991NfHw8ffr0pUePnnTs2Ilhw65y+PmlS5cwdeqzDBw4mM6dz+Waa4axb99epk9/2eFnPv98DklJyVx22UAA6tevzxVXXMnllw/ivvvuZs2aVQwdej1z585hzpxZDB48hNTUHtx4462sWvU7y5f/bLM+vb5qCKHVOg5Y7S1vNpvQ6ap+RlHMDBw4mDvuuKfKe3Fx8QDcf/+DDB16A2vXruKvv9bzxhuvMG/eZ3z88Rc+TVYkgZMQIqhZ+7JXTjpk7cs+e3axBE9CCFFHNGqkLgOd2uW87cSJ46xa9TvDh98JwLJlS8jLy+OrrxaUBRfWbnHWbHrWLHhWX3wxhyFDruXRR58oe23lyt/LPlN5eYBt2/5j2bIlXHLJpTZBjFarJSoqqmx+qLlzP+Huu0dy2213lS3z5ZefeZzZLy/vNEePHilrldq3by8FBQW0a9ehyrKtWrVh//59Nq1aBw8e4L333mL06LGcOqXnm2++5MEHx3Pttddz7bXXs3nzv4wZcy979uyiU6fOHpW1OjLGSQgRtIKhL7sQQoia07OnieRkMxqN/Yq+RqOQnGymZ0/f3xiKioo4eTKbkyezycg4ysqVv/HIIw+SlNSEm2++DYCGDRtTXFzEihXLOXbsGOvXr+XZZ58EoLTUAEBEhCVxw+7duygsLKRhw0Zs2bKJnTt3cPToEb7++gvmz/8GAIPBYLcsd999LxkZGTzyyIOsX7+WY8cy2bp1M++88wb//beVm24afrY8jdiwYR379+/j0KEDzJz5Pr///qtX5nl64YVn2LFjO1u3bmHKlGfo3PlczjuvW5Xlbr75Nnbt2sHrr7/MgQP72bp1M8899yRHjhyiWbMWxMbGsXz5z7z66oscOLCfQ4cOsnhxOvXqxdCiRUuPy1kdaXESQgStYOjLXtu1bNmSH374gaSk5v4uihBCoNPBlCkljBgRjkajlD1EA8qCqSlTSmpkDOxXX33OV199Dli6qjVq1JhLL72cW265vSyLXf/+l7Fz5+28++4bFBTkk5SUTFraNaxa9Qfbt2/j2mstWfh69erDs88+wahRYxk3bgKvvDKVBx4YRWhoCCkp7Zg06XmeffZJduzYRteu51cpS9u27Zk5cw5z5nzEiy8+T25uDlFRUZx3XjdmzPiY1q3bAPD005OZPv1l7r33diIjozjnnM48+ugTvP76Sxw7dsyjdN8DBw7mscceorTUQJ8+fXnooUftto517tyF6dPf5aOPPuCee24jMjKC1NQejB37MCEhIcTGxvHaa28zY8a73HffXZhMJs4551zefPP9snTlvqJRvDGrVpAxmcycOlXg8Xr0ei3x8VEyf0kQkGMVXNQer/nz9YweHeF0fTNmFDFsmHTX8wW5tlznz0QmcryCR108VqWlBk6ezCQxMYmQEM/Gqfhj7Kter60zx8oVixYt5MUXn2fVqr/8VoaK51ZERLjNtZWQEGV3rJU90uIkhAhagd6XvS44duwYb701l5tuup369Rs6/0AdJ4lMhKgZaWlGBg82SrZV4VUyxkkIEbQCqS97XXXq1ElmzZrFqVMn/V2UgBfok3IKUdvodNCnj4lhw4z06SNBk/CcBE5CiKBl7csOVAmearovuxDVkUQmQoi66sorh/i1m543SeAkhAhqaWlGZs8uJinJNnBKSlIkFbkIGOWJTOzPHWNJZKJl7VqJ8oUQIlBJvwAhRNCTvuwi0AXDpJxCCCGqJ4GTEKJWsPZlFzUrPj6eO++8k/j4eH8XJaBJIhMh1KuDCZ+Fj3nrnJKuekIIIdyWlJTMiy++SFJSsr+LEtAkkYkQzunOdhMwGEr8XBJR21jPKZ3OszYjaXESQgjhtqKiIo4c2Xd23pUwfxcnYAXSpJxCBCqtVkdERDT5+TkAhIaG2Z0gNVCZzRpMJmktCySKomAwlJCfn0NERDRarWdtRhI4CSGEcNv+/fu48cahfPPNAtq16+jv4gQ0ayITyzxO5ZXBpCRF5nES4qyYmASAsuApmGi1WsxmmQA3EEVERJedW56QwEkIIYSoIZLIRIjqaTQaYmMTqVcvHpMpeB4m6HQaYmMjOX26UFqdAoxOp/e4pclKAichhPADkwmpPNdRkshECOe0Wi1abai/i6GaXq8lPDycoiITRqO0OtVWEjgJIUQNS0/Xn+2uVf4ELDnZLN21hBBCiAAmWfWEEKIGpafrGTEi3GaMC0BmpoYRI8JJTw+u51larYbo6Gi02uAZwC2EEEK4QwInIYSoISYTTJoUhmU6CdtAw5plbdKkMExB1IurQ4dO7Ny5kw4dOvm7KEIIIYRPSeAkhBA1ZO1a3dnuefZbZxRFQ0aGlrVrZbCTEEIIEWgkcBJCiBpy/Li67mxqlwsEe/fuoX///uzdu8ffRRFCCCF8SgInIYSoIY0aqUtRq3a5QFBSUsKuXbsoKSnxd1GEEEIInwquUchCCBEEHKUa79nTRHKymcxMTdmYpoo0GoWkJMvyQgghhAgs0uIkhBBelJ6uJzU1iqFDIxk9OoKhQyNJTY0iPV2PTgdTplhaZjQa21Yl699TppTIfE5CCCFEAJLASQghvERNqvG0NCOzZxeTlGQbOCUlKcyeXSzzOAkhhBABSrrqCSGEFzhLNa7RKEyaFMbgwUbS0owMHmy0250v2DRt2oxPPvmEpk2b+bsoQgghhE9J4CSEEF5QnmrcPkuqcQ1r1+ro08cSJPXpE/xjmWJiYhg4cCA5OQUYjWZ/F0cIIYTwGemqJ4QQXlAbU42rkZ2dxTvvvEN2dpa/iyKEEEL4lAROQgjhBbUx1bgaJ06c4KWXXuLEiRP+LooQQgjhUxI4CSGEF1hTjVfOlmel0SgkJ5sl1bgQQggRpCRwEkIIL5BU40IIIUTtJoGTEEJ4iaQaF0IIIWovyaonhBBeVJtSjatRr149rrrqKurVq+fvogghhBA+JYGTEEJ4WW1JNa5Gs2bNmTlzpqQjF0IIUesFRVe9kydP8thjj9GzZ0/OP/98Ro0axd69e/1dLCGEqPNKSw1kZGRQWmrwd1GEEEIInwqKwGns2LEcPHiQmTNn8u233xIeHs5dd91FUVGRv4smhBB12u7du+nRowe7d+/2d1GEEEIInwr4wOn06dM0adKEKVOmcO6559KmTRvGjBnDiRMn5EYthBBCCCGEqBEBP8YpNjaW119/vezvU6dOMWfOHBo3bkxKSoofSyaEEEIIIYSoKwI+cKro6aef5ptvviE0NJQPPviAyMhIt9el13ve2KbTaW3+KwKXHKvgIscreGi1mrL/euN3VfiWXFvBQ45VcJHjFTw8OVYaRVHsT3MfgPbs2UNxcTFffPEFixYtYt68eZxzzjkur0dRFDQajQ9KKIQQdcuWLVsYNGgQS5YsoUuXLv4ujhBCCOEzQRU4WZnNZtLS0ujatSvTpk1z+fMmk5m8PM8TS+h0WmJiIsjLK8JkkjS8gUyOVXCR4xU8NBqIiNBTVGQk+O4mdY9cW8FDjlVwkeMVPCofq5iYCNWtTwHfVe/UqVOsWbOGK664Ar3eUlytVktKSgonTpxwe73enG/EZDLL/CVBQo5VcJHjFfj0ei1hYWEUFhrlWAURubaChxyr4CLHK3i4c6wCviNmdnY248ePZ82aNWWvlZaWsm3bNtq0aePHkgkhhDhwYD/XX389Bw7s93dRhBBCCJ8K+MCpXbt29O3blylTprBhwwZ27drF448/Tl5eHnfddZe/iyeEEHVaYWEha9asobCw0N9FEUIIIXwq4AMngOnTp9OrVy/GjRvHDTfcQG5uLl988QXJycn+LpoQQgghhBCiDgj4MU4A9erV47nnnuO5557zd1GEEEIIIYQQdVBQtDgJIYQQQgghhD9J4CSEEMJtSUlJvPrqqyQlJfm7KEIIIYRPSeAkhBDCbfHxCdx6663Exyf4uyhCCCGET0ngJIQQwm05OaeYN28eOTmn/F0UIYQQwqckcBJCCOG2zMxMHnvsMTIzM/1dFCGEEMKnJHASQgghhBBCCCeCIh25EEIIESxMJli7Vsfx4xoaNVLo2dOETufvUgkhhPCUBE5CCCGEl6Sn65k0KYyMjPIOHcnJZqZMKSEtzejHkgkhhPCUdNUTQgjhtsjISHr16kVkZKS/i+J36el6RowIJyNDY/N6ZqaGESPCSU+XZ5VCCBHMJHASQgjhtpYtW/Htt9/SsmUrfxfFr0wmmDQpDEUBsA2cFMXy96RJYZhMNV82IYQQ3iGBkxBCCLeZzWZKSkowm83+LopfrV2rO9s9T2P3fUXRkJGhZe1aGewkhBDBSgInIYQQbtuxYzutW7dmx47t/i6KXx0/bj9gcnc5IYQQgUcCJyGEEMJDjRopXl1OCCFE4JHASQghhPBQz54mkpPNaDT2AyONRiE52UzPnjLISQghgpUETkIIIYSHdDqYMqUEoErwZP17ypQSmc9JCCGCmAROQgghhBekpRmZPbuYpCTbwCkpSWH27OJaMY+TyQSrV+uYP1/P6tU6yRIohKhTZFIJIYQQbmvbti0bNmxAr4/wd1ECQlqakcGDjaxdq+P4cQ2NGin07GmqFS1NMrmvEKKuk8BJCCGE20JCQmnYMJ6cnAKMxtqRktxkwqPAR6eDPn1qV1OMdXJfpdIQLuvkvrWlRU0IIaojXfWEEEK47fDhQ4waNYrDhw/5uyg2ftq3lLErJrj8ufR0PampUQwdGsno0REMHRpJamoU6enqnjO++fcM3vx7RtnfY1dM4Kd9S10uRyCRyX2FEMJCAichhPBQXR73cebMGX766SfOnDnj76J4zNqqkpFhGxxYW1XUBk8VPZo6lt7JF3iriH4hk/sKIYSFdNUTQggPyLiP2sFZq4pGozBpUhiDBxtd6rbXKraFV8vpDzK5rxBCWEjgJIQQbpJxH8FhTeZfzNvxLeO7jeG73T9yOD+DeiHR9GvWhwHNLwEsrSq6lhu5/KGfqZd0AmNxGMc2dWLzvKEU58ShKBr6TB/DzFUDuf+SAWXr/mnfUhYdWM57l75id9tjV0zgypYDuKr1QHbl7OWtfz7kwfNGsuzgb+w9fYBwfRg9G3fn6jaD0GoCsxOITO4rhBAWgfkrLYQQAU7GfQQXRVGYvfVzUhudx5hz76FNXEsW7PmJbSd3ArAz+wAXjJ3DkXXns/KlB/j3s+tp2HkHPR/82GY9BQWel2XOti9JiWvF/efeTY9G57Ps0G+szljv+Yp9RCb3FUIIC2lxEkIIN5SP+7DPMu5Dw9q1ulqXYa2ihg0b8vjjj9OwYUN/F6VaCgpXthpQNt6odVxLNmVtZevJ7XRKbI8xbi+mM6Hs/HEgZmMIAIb8KOJbHwQUrMFxVJTnZemTfCGDW1lardonpLAp6z+2Zm/n4iY9PV+5D1gn9x0xIhyNRil7MAAyua8Qom6RFichhHCDjPuwqF+/AQ8++CD16zfwd1GcqjjeKESrJzokmhKTAYBLu7RCH17CwFdfoPPN31O/w26OberE9vlXAZqyAKFpU89TrreKaW7zd1xYLIaz5QhUdWFyXyGEcEZanIQQwg0y7sMiLy+PDRtW0759FyIjo/1dnGqFakNs/tZoNChnB6ilJLSgh2Ek6SdW0u6qX+h47c8U58awfcEg9i7tV/YZrRfi4FBdqG050JB7GubP1wf0hLm1eXJfIYRQQwInIYRwg3XcR2amxqbrkpVGo5CUpNT6cR9Hjhzm7rvv5ptvFtCuXUd/F8cjd1+ZQgNzB56ZpMGUuJu2g1Zw/t3foM1tyeP3NWYxYMY2EC7xsKUoPV3PxgwdJQZ4b3IEENhZGWvj5L5CCKGWdNUTQgg3WMd9AFUGzcu4j+Azf3c6L294m6uuKmXD2lLef7oNQ1peBcCbszJISzMSrgsnt/i0zef2nT7g9jatWRlLKsVe7s4bVZfnExNCiJoggZMQQrhJxn3UHu0TUjh85ihzt3/DrtO7iG2/lVPN5xOlj6RjYgoAnet3YOOJf1l5dC07Tu1mzn9fkVV00q3t2WZltOVOVsb0dD2pqVEMHRrJ6NERDB0aSWpqlFuT9gohhLBPflGFEH5lMlFlzIQ+iH6ZZNxH7XBOYgfu6nQzyw//wawtn6FBQ+u4ljzU7T6iQiIBuK7tEEyKmQV70tFqdKQ26so1bQbzxY5vXd6eN7MyynxiQghRMzSKYu95V+1mMpk5dcrzyTj0ei3x8VHk5BRgNHqeaUn4jhyrwJSermfSpDCbCmRysplp0wzccUe4HK8gcPDgPh577GFeffVNWrRo7e/iBI358/WMHh3hdLkZM4oYNsxx0GMyQWpqFBkZGirPJwblY+02bixAp5PfwmAixyq4yPEKHpWPVUJCFDqduk540lVPCOEX1qfklgpfucxMDXfdFcb8+X4qmHBJmzYp/Prrr7Rpk+LvogQVb2VlLG+5sp/uz9JypWXtWmkCFUIIT0ngJISocbbjO2wrfNbxHQ8/jAxuF7WWNStj5cQiVhqNQnKy2WlWRplPTAghao4ETkKIGqfmKfnhw7BmjfxEBbodO7bRvn17duzY5u+iBBVvZWWU+cSEEKLmSK1ECFHj5Cl57WE2K+Tn52M2S8XcVd7IyuitlishhBDOBVHuKiFEbSFPyb3DXkZCyeYXXDzNymhtuRoxIhyNRrGZjDmQ5hOTc1UIURtI4CSEqHHWp+SZmRqbip6VRqPQtKmGXr3Mdue5EY4zEk6ZUiKpp4OMTofTlOPVsbZcWc6H8uspKUkJiPNBzlUhRG0hXfWEEDVOzfiON99Enkg7UF1GwhEjwmXS0zooLc3Ixo0FLFhQyIwZRSxYUMjGjQV+D0zkXBVC1CYyj5MHJGd/8JBjFZhkHicLV7oxuTpvj6+VlpZw8mQmiYlJhISEqf6cdN3yj5r8LQy0czXYyH0ruMjxCh6ezOMkj3qEEH7jaHxHWFjdaQx3tRtTeUZC+yzz9mhYu1bnUfcvtSIiIujSpYtLlQXpulU3BNq5KoQQnqo7tRMhRECyju8YNsxInz51q9XBnW5MgZaRMDMzgyeffJLMzAxVy0vXLdeYTLB6tY758/WsXq0LqrnNAu1cFUIIT0ngJIQQfqBmEuBJk8KqVJQDLSNhTk4On376KTk5OU6Xdfc711Xp6XpSU6MYOjSS0aMjGDo0ktTUqKAJLgPtXBVCCE9J4CSEED5SXWuBmkmAMzK0rF1r2wQXzPP2uPud66La0DIXzOeqEELYI4GTEEL4gLPWAne7ManJSBgI8/bYI1231KktLXPBfK4KIYQ9EjgJIYSXqWkt8KQbk3XenqQk2/eSkhRmzy52mmDBX+NmpOuWOrWpZc7Tc1UIIQJJ4Lf1CyFEEHHWWqDRKEyaFMb69QVOJwFOSlIcdmNylJHQ2dN7b2e0S0hIZOTIkSQkJDpdVs3Ex9V952DkTtr12tYy5+65KoQQgUYCJyGE8CK1KZg3bNAxZUoJI0aEo9EoNoGE2m5M1oyEallbwirP3mdtCXOnBaBx48Y899xzqtKRW7tuefKdg4m7QWptbJlz9VwVQohAJF31hBDCi1xpLajJbky+GjdTWFjAX3/9RWGhuknF60rXLU+SO0hSBSGECEzS4iSEEF7kamtBTXVj8tVkpAcOHODGG4fyzTcLaNeuo6rP1PauW2q7aw4ebLT7netay5wQQgQLCZyEEA65Mz6jrnNnHE9NdGMKtHEztbnrljeCVGvLnKWrX/kxSUpS3B6PJoQQwjMSOAkh7PJ2EoG6IhBbC0wmyMpSFxAF07iZQOWtILW2t8wJIUSwkTFOQogqasPkm/4USON4rPNJPf10eLXLybgZ7/Fmcgdry9ywYUb69JGgSQgh/ElqP0IIG56OzxAWgdBa4CiLHihUPLaetITpdDoSEhLQyclQpi6mXRdCiLpAAichhA1fJRGoi/w5jqe6ALjy356Mm2nfvgNbtmxRlY7cFTU9vs6b2wvE7ppCCCE8J4GTEMJGoCUREO5xFgBbvfBCMffeWxpQlfiaHl/ni+1JcgchhKh9ZIyTEMJGbZx8sy5SG9g2aKB4FDTt2bObPn36sGfPbvdXUoHa8XWKoqCYPW/h8uV4vrQ0Ixs3FrBgQSEzZhSxYEEhGzcWSNAkhBBBSgInIYQNmXyzdqipANhgMHDgwAEMBoNH6wHXJuk9/esv7BkzioKtm2tke+6S5A5CCFF7SOAkhLBhHZ8BVAmeZHxG8AjGALi8e6H91jLL+Dot65dmk/XN1yhGIwWbN/l8e2vXysnubyYTrF6tY/58PatX6zwKZoUQwl0SOAkhqgikdNrCPcEYAKvpXqjBTPgvH6KYLTXnfA8CJxnPFxysKfWHDo1k9OgIhg6NJDU1SqZFEELUOAmchBB2yfiM4BdsAbCaboM3tP6JqNzdcHZ8kzE7m9LsLJ9tz5XlhPfJnHJCiEAivzhCCIf8mU5beIev55Nq3rwFX3zxBc2bt/B4Xc7mP2oefYT7O31e5fWCbf8R17ef17cn8y35l8wpJ4QINNLiJIQQtZwvExRER0fTr18/oqOjPV6Xs+6FN7f5kRCtETS2lejCrVt8sj1Q351RxuB4n4xBE0IEGgmchBBCuC0r6wSvv/46WVknvLK+6roXnnvXAOIuuxx9XBwA2uhoNGHhhDRs5JPtqe3OKGNwfEPGoAkhAo38qgshhHBbVlYW06dPp2fPi4mPr++VdTruXpgEDCdv7Z8ANHnwYSLapPhwe84/m56u5557wqu8bh2DE4hjyYKFjEETQgQaCZyEcMBkwmfjQoSo7Ty9fhyNrzMaFcwFBQD8fbgFPVtalvXV9qpjMsEjj4Sd/UvG4HibjEETQgSaoAiccnNzmT59Or/99hv5+fm0b9+eRx55hO7du/u7aKKWSk/XM2lS2Nn+9RbJyWamTCmRp8dCOOGr6yc9Xc+rzxUy6zzL30NvTCA52czQoaUsWBBS49frG2+EkpPjuMe7ZQyOhrVrdQ6DMnlA45h1DNqIEeFoNIpN8BSoKfWFELVbUIxxGj9+PP/88w/Tp0/nu+++o2PHjowYMYJ9+/b5u2iiFpL0t0K4z1fXj3W90UWHANhz2pLFLyNDw3vvhdb49WoywcyZIaqWdTQGR8ZGORdsKfWFELVbwAdOBw8eZPXq1Tz33HN0796dVq1a8fTTT9OwYUMWLlzo7+IJLwikbFTO0t+C5f26nDErkI6X8L+YmBiGDRtGTEyMz66fiutNiTkIwB/HLjj7rqbSfz3fnhpr1+rIzVV3C7U3BqcmHtDUlmtV5pQTQgSKgH+sFR8fz8yZM+nSpUvZaxqNBo1GQ15enh9LJrwh0LrElae/tU9N15vaLNCOl/C/pk2b8c4775CTU8Dvv2t8cv1UvC4vaLgJgD2nW1VYorp01b65XtVmcouLM1cZg1MT8xM5ulanTTNwxx3urdOfZE45IUQgCPjAKSYmhksuucTmtZ9//pmDBw/y5JNPur1evd7zxjadTmvzX+GahQt1jBhhrTyUsz5xnTOnhCFDvHOjVHussrPVHcvsbC16fd3K5BSIx0v4n9FYyv79+4mOjic7u2p2OXtcvX4qXpc9GmwGYE+e+gl3fXG9JierW270aCNhYbbn8dq1WlUB5oYNei66yAxYgq01a7RlY6F69TI7DKqqu1bvuiuM6GgYMECurUAnv4PBRY5X8PDkWAV84FTZ33//zRNPPMHAgQPp16+fW+vQajXEx0d5rUwxMRFeW1ddYTLBU09R5cYO1ieuMGlSOMOH45WBvyYT/PYbZGZGkJQEF19sf70pKjMbp6SEEx/vebmCRU0fLyu5tgLfli1bGDRoEEuWLCElpYvzD+D69WO9LvWa0rLXMgsbuvB571+vV14JTZvC0aP2rwuAxESYMiUUnS7U5vX8fHXbyM+PID4e5s+Hhx6CI0fK32vaFN56C4YNs/2Mmmv14Ydh//4ISaoQJOR3MLjI8Qoe7hyroAqcli9fzqOPPkq3bt147bXX3F6P2ayQl1focXl0Oi0xMRHk5RVhMpk9Xl9dsmqVliNHHJ+wigKHD8OiRUVlT1zdtXChjieeCLXbZaVyC0nnzpCcHFFt+tvkZIXOnYvIyfGoWEGlJo8XyLUVTPLzi8v+27lzgU+uH+t1GZlfHjkoNkN0Fex11/P19Tp1qo677gpDo6HS91XQaGD69BJyckxVWoqio7WA8xt2dHQRn31maSWq3K3v6FGF66+nSkuv2mt1yZISeveW7rWBTH4Hg4scr+BR+VjFxESobn0KmsDp888/Z+rUqQwaNIiXX36Z0NBQ5x+qhtHovZPaZDJ7dX11QXXdVGyX8+xYWQZgO+6yYi8rk7P0ty+8UIKimDHWoTpHTR2vyuTaCnxms1L2X0Ux++z6mTKlhK+fsWTUW36kT4V3lAr/rX573k79PXiwmdmzlbNjicq3nZysMGVKCSYTdO0aUeWhzeTJJarmJ+rWzcgFF0RVOxbqiSdCGTiwoOx7qL1WMzMVubaChPwOBhc5XsHDnWMVFB0x582bxwsvvMDw4cOZPn26x0GT8L+amBHe3Qxfkv62qpo4XqJ28NX1k5Zm5IHrdwKw6VSnsteTkxXGjjWQnFz99nyV+ttRxjfAYda8kSPDGTrU0u3QGuBZVZyfaMMGa1KM6pJfaFm7tjz6k2tVCCF8J+BbnPbv38+LL77I5Zdfzn333Ud2dnbZe+Hh4dSrV8+PpRPuqokZ4T3JkJeWZmTwYKNMTHlWTRyvuspZK0gwTpDqq+un/sl1mIB7Hm/EFRTZrHfSJIPD7VlTfztKbOLpA5HKGd/UZM1bsCCEWbOKeeYZ29aqpCSlLEvl/PnqbtEVM/ypuVabNtXQq5fZ4dgsIYQQ9gV84PTzzz9TWlrKsmXLWLZsmc17Q4cO5aWXXvJTyYQnamJGeLXpgh0tJ+lvy9XE8aqLnKV3D4b07506ncPRo0fJySmw6fLgi+vHdDoXgO6Dkrkw0vb7O9peTaT+rkztQ5vERIWNGwscBnzutB6puVbffNOynKfdjYMxqBdCCE8EfOA0evRoRo8e7e9iCB+wdumpPD6g4hNXT0iXFe/y9fEKdN6uJDprBRkzxsD774f6rJUk2BjPlM/bp4uMVP05f8zN5spDm+oCTHdbequ7VqdNMzBsWLjHyTKCIagXQghvC/jASdRuvuwSJ93LvK+udmH0diXR+fg7hQ8+CK3RVhJ37d+/jzvueJLnn3+RZs1a+mw7hrO5uEMaNy57TU0w62nLszu89dDGk5bewYONxMYqrF6tQ1EswVmfPqYqc0q5w9ddH4UQIlBJ4CT8zldd4qR7mW/UtS6MvqgkOmsFAQ3mahL9WFtJ/vxTh1aLX4PYoqIi/v77b4qKiny6nZLDhwGo1607oD6Y9UfLszcf2rjT0mtv33z9tWXfXHutZ9m+/NH1UQghAkVQZNUTwl2SIU94wt3MjM54q3VjxIhwr2eJC1QF27cBENa8eVkway9j3YgR4Tb7wBrEVM5eZ2WZ68ns1ZZn60Mb6/orbw9ce2jjKHOfo6Cpun2zcKFn0Ux50K8+058QQtQWEjiJWi8tzcimTUX8+ivMmlVcbaWjrjOZYPVqHfPn61m9WudyQFDb+KqS6K3Wjdxc54FDbVG4ZRMA+qRmLgWz3g5i1PL2QxtrS++wYUb69LHfsqgm0H/yyVCPrmt/dH2sDeS3VYjaofbdXYWwQ6eDfv2ga1eTTEznQKAP9vZHBi9fVRKddeUCBa0WFAWH71vUja5SSoVa5t/7kl1O9uCvxCY1PSZQTSKMo0c1rFwJXbu6tw1vdH2sa9n4Av23VQihngROQoiAH+ztr4qHL8bHWCuNaWlGZs4MwRIEVR1/d//9lqx6lcfnVV6+Ml9kiatOkyZNePvtt2nSpInPtmE4fqzs/49nqathVw5m/ZXYpCbHBKoN4DMz3Q+cPB2/VdeCiED/bRVCuEa66glRx/lqHI+3uDKexdu8PT4mPV1PamoUQ4dGMnNmKKBBW+lX2NqV69lnDXa7esXHqwvSaqqrVGxsHNdddx2xsXE+20bJEUtiiOjzUz0KZtV0d6spzrpuudO1S+2+SUpyo8BnedL10Z/Xsj8E+m+rEMJ1Lv9KGY1G1q9fz5o1azhy5AhnzpwhPj6e5ORk+vbtS7du3dBopG+zEMHCH/PcqOXvDF7ezMzo6Mmz5W+F++4zMGiQyaYVxF4rickE11/vfB4jtZVoT7tNnTp1ih9++D8uvvgyYmLi1H/QBSUHDwIQ0b5DrZhmwFcTH6vZN8nJChdfrCUvz84KVHKn66O/r2V/COTfViGEe1S3OBkMBubMmcOAAQO45557+Oabbzhw4ACFhYVs376defPmMXz4cC655BLmzp2LwWDwZbmFEF4SyIO916zR+j2DlzcG+TuvNMLChSF2g5bKrSR9+nivFaxiC5i7mfmOHcvkqaee4tixTNWfcdWZvzYAENa0abUtHtaxX4E8zYCzVpfnnw91u1VGTWvQiy8avLJvXMn0B3UzG18g/7YKIdyj6u64efNmJkyYQEhICLfeeiuDBg2iefPmVZbbtWsXv//+O59//jmfffYZr776Kuedd563yyyE8CJ/zHOjVqBUPDwdH+PNJ8/eagULhrEX1tawBiezAdAnNwPKg9lHHgkjJ6fisdcQFxe4yV/UtLp4OvGxs9agIUO8t39cGb8VKNdyTQrk31YhhHtUBU4TJ07k0UcfZcCAAdUu165dO9q1a8fIkSP5+eefefzxx1myZIlXCiqE8I1A7voUSBUPTwb5e7vS6GmWuGDoNmXtrnYmq4DFgy2vXdC3kc33swRNtskycnPVBX7+yOymJoCuHMhWfl9NgF19oO+foc2BdC3XlED+bRVCuEdV4PTjjz8SEhLi0oqvuOIKLr30UrcKJYSoOd4cx+NtvXqZa0XFwxeVRk9awQJ97EXF1rDzEg8BkFnYoKw1bNasYp55Juzs0q4Hfv7K7Oat1hQ166kc6FuTTWRna0lJgc6dvVKUKhwFpD16mNBqFcxmsN9dz5KCv0ePwL6WXRHIv61CCPeoCpxcDZo8/ZwQomb5a54bNW67rZRXXgnFUdruYKh4+OrJs7utYN5sAYuKiuKSSy4hKirK5XLYU7k1LCXmAAC/ZvQqC4oefzyM7Gz3Aj9/dlH0VmuKq+uxHyhGeP3ari4gjY9XMJurO580mM2wYYO6YP3Nv2ewO3efzWsR+nCaRTfhylYDaBvfBoCn/5xG27jW3NHpJre+kytOFp3imTUvcVvHG+mV1J2TRadYHPkS139Zvoxi1mAyhFKc1ZCeDXuTNjjV5+USQniP27k/FUVh3rx5LF26lOzsbBISEhgwYADDhw9Hr69dKUWFqAv8Nc+NI/Pnw4MPRjhsGQmEoE4ttU+ewdIq4Ov9780WsBYtWjJv3jxycgq8Mrl05daw8+v/B8Cu060BS1CUne1e4OfvLopqAmiNBoetMu4E2DUVKDrbzsiRparW40qrXLPoZG5qPxQAs6KQX5rPyqNreXfTbCZ2/x/J0Y1Vr8uXBrW8jI7xHfhvq45Tp6BeQjE5zdbyb9bXrDxaysVNevq7iEIIldyOcN58801++eUXrr32WmJjYzlx4gSffvope/fuZfLkyd4soxCihtTkZJ3VWbhQx113YadyaamVTZhgYNw472QHq443x8E4a9UDSE2NqpHuY95sATOZTJw5cwaTqfqJedWqXHG+JGkdAHtOt3R5XZUDP393UVQTQFsnPgbPu3bVVKCoZjvffaeuuuFKa1q4PpxWsS1sXuuQ0I6JK59n7bG/GJaSpnpdvlQ/IpGU+BakXFz+mllpzQtrM/j18EoJnIQIIqp+yY4ePVplVvhly5bxzjvv0KZNm7LXOnfuzGOPPSaBkxDCbSYTPPGE/cxiYKmEff55COPG+XbKA1+Mg3HUqrd4cc12H/Pm2IudO3dw441D+eabBbRr19HjslWsOGspD14OFyTbLJeYaObUKdcCv0DI7KamW2xqqtkr3WZrKlBUs52TJzVuHTNXhWpDCNHq0TgI4ouMRSzav5zNWf+Ra8ijQUQilzbrS+/kHmXLmBUzq46uZeXRtWQVZRMdEk33RudxVavLCdGVD0H498QWFh1YzonCLBpHNmRwq+oTaFWk1WhpWi+ZLdnbgPJufsNS0lidsY5Txbnc0nEoafH9OXomk/m7fmJP7n4A2senMKxtGvUjEsvW9+vhVaw8uoaTxTlE6SM5t8E5XNNmMBH6cAC2n9pF+r6lZBQcQ6fRkRLXimvbXEnjqIaA/S6NazL/4vPt3zC51+MkRiTw076lrD/+Dxc27savh1eh1+p5+sJHiAyJZHXGOlYcXkV2YTb1QuvRK6k7g1sNQKvxTzISIXxFVeA0bNgwrr32WkaPHk18fDwArVq1YtasWdx2223ExsaSlZXF3Llzadu2rU8LLISo3fzdKgC+7d5kb9C+P7qPBeq4toqtYU0ij5e9blIsX95awZ48uYSRI10L/AIls5uzbrHe6jZbU4Gi2s9ff30pM2eGei1RgoKCyVx+LeWXFvLr4ZUYzUZ6JfWosrzBVMr0jR9wxpDPVa0Hkhgez6bs//hix/+RZzjDoJaWhFZf7viOdcf+ZmCLfrSJa8WRMxks2r+MI/kZjO06Ao1Gw5bsbXy09XO6Nzqfa9tcyZEzGczZ9pX6wgPHC7Nsgh+ARfuXcX3bqwnXh5OS0IKMM8d5Zf27NIpsyO2dbsKsmFly4Bde3/g+T14wjnqh0fx17B++3/MTQ1PSaBLdmGOFWSzYk47BZOCOTjeRXXSSDzd/Sq+kHlzTZhCFpUX8uG8J72/6mOd6TXApuDlVnMPWkzu4p/NwCkoLiQyJ5OcDK1i472cuadqbzilDOJKfwU/7l5JTcprbOt7g0j4RItCpCpwWLlzIu+++y6BBg7jzzju5++67eeGFF3jmmWe46aabMJlMaLVaLrroIl599VVfl1kIUYv5u1WgpgMZfwaKgTauDWxbw1JiLU/YVx/rBthWsNPSjGi1rgV+gZQe2lm3WG90m1UbAO7b51mrgNrtDBpk4sILvRes78ndz/9+e6LK61e3HlTWklLR2sy/yCg4xiOpY2l9totfp8T2mM0mlhxYzsVNepJnOMOfmRu4pvVgBrbsD0DHhHbEhsXw6bav+O/kDjrX78ii/ctpEdOMu865uWw9aOCHvYurbFdRygM8MwqnS07z25HVHM3P5OazY7SsujU8l15nW7/0ei1zt35NqC6UB88fWdZ61D4+hWfXvMSyQ78xLCWN3bn7SIxIoG/TXmg1WtrGtyFMF0phaREAB/IOU2ou5YqW/YkLiwUgLjyWzVnbMJgMhJ9drxpmxcywlDRS4loBlha8xQd+oU+TC7mh3TWW/ZXYjqiQSL7Y8S2XNrs4YMaaCeENqgKnhg0bMnnyZO68806mT5/O5ZdfzpgxY3jrrbdQFIXc3Fzi4+PRBXpqKyFEwHOnVcCbY5FqOpDxR6DojzmMXGFtDfvvA0vgtDH7XKBqBdvVwK+upYd2FihaKLz6aigdOpjdbmV0JSDV6fBasN6sXhNuaT+s7O/C0iL+O7WDhft+xmAyMKTNIJvld+fuJTE8vixosurRuBt/Zm5g/+mDnCrOBSC10Xk2y6Q27Mrc7d+wO3cf7eJTOHzmKGmtB9os061hV7uB0xc7/o8vdvyfzWsR+nAGtbyMPskX2rzepJ5tl9QtJ3bSLqENodqQsuArXBdGm9hW7Di1G4B28W1YlbGOlze8TdcG53BOYgd6NDofjcZyLFrFNCdEq+eVDe/QreG5dEpsT9v4NrSMaV6lrGo0jS4v477Thyg1l3Ju/U42rX9d6ncCYEfObgmcfCDQf8NrM5eSQ7Rp04b33nuPjRs38tprrzFnzhwefvhhrrzySl+VTwhRx5RXwrR2JwOt3Crg7bFINR3IuNMq4OpNs+Ly+/ZpmTs3hMzMmp3DyFVpaUbOWbOG0uMw5J7G3HJOod3v6WrLTKB2UfQFa6B4zz3hVE7nX84yibAnraiuBqTeSkITrgujRUwzm9c6JrajxGhg6aHf6NfsIpv3CkuLiAmtV2U91teKjMUUGgstr4XZLqfT6ogKiaTIWEShsRAFhagQ2xT8sXbWDXBlywF0rm8Z/6fRaIjQRZAYEW+3i1yYLszm7/ySfP469i9/Hfu3yrLRZ7ef2ug8FEXhj6NrWHzgF37av4zE8HiuaXMlqY26khiRwMPdRrP04G+szlzPr0dWEaGP4JImvUhrfUVZgKVWuL68jAWlBQC8v+lju8ueLslzad3COX/NQycsVAdORqORgwcPYjKZ6NKlC19++SVLly5l+vTpfPTRRzz66KP07t3bl2UVQtQBOh1Mm2bgrrucV8J8MRbJG+NgXAlsevY0kZRkeVrvOCudwty5loQYixe7dtO0d5O1Zie08mR/tW3bjs2bN2Myef9xZ+nxYwBcdksy+nre6z4XiF0UfSUtzciECQZeeSXM4TLeaEUNpIC0eUxT/sxcT3bRKZvXI0MiyCrKrrJ8nsFSuY8OiaLIWGx5reQMiRHxZcuYzCYKSguJCokiSh+JBg1nDGds1lNwNuiqLCEioUqAp1ZkaCQd4lPo3/TiKu9pNeUnbPfG59O98fkUGYvYfmo3yw7+ypxtX9ImriVxYbG0jGnOqC53YDQb2Zt7gFUZa1lycAVN6iXTreG5aLCkdK+oxFTivHz6CADu6nQLDSPrV3nfXqAq3OfPeeiEhaqOzZs3b2bgwIFcddVVXH311Vx66aWsWbOGgQMH8tNPP3HDDTcwYcIE7r77bv777z9fl1kIUUuZTJZ5jAwGeO45aNzY9u6QlKSU3RicjUUCy/smF+uB1hYva5BWmUajkJxsdjgOJj1dT2pqFEOHRjJ6dARDh0aSmhpFerr951Q6Hdx+e2mV71Bpq2RmannjjVBGjAi3qZhC+U2z8jasN9nKy3tzf4WEhJCYmOj1Cc9NheWVUH29GK+uG8pbPYYNM9KnT+0Mmqxat1Y3v5anrahpaUY2bixgwYJCZswoYsGCQjZuLKjxitzBvMNoNVrqRyTYvN42rjUni3PYd/qgzevrj/2DXqOjRUwz2sZb5gvbePxfm2X+Ov4vZsVMm9iWhOhCaB3bgn+ztqJUqMFaM+R5U6cGbcnMP07T6GRaxDSjRUwzmtdryorDK9mUtRWA2Vs/Z+bmTwGI0EfQreG5DGo5ALNi5nRJHisOr2TS6hcpNRvRa/W0T0jh1g7XAZZkD2BJ7Z5bkmuz7X25B5yWr2Vsc/QaHbklp8vK1yKmGVqNjh/3LqkSvAr3+eqeJ1yjqsXpueeeo0+fPjz22GPo9Xq+++47Jk6cyB9//IFOp+OWW27hmmuu4eOPP+bOO+/kr7/+8nW5hRC1jP3uBzBhQgmtW5urtAr4aiySJ+Ng3H0aqLZiO3NmiOqkFdXdZO1xd38dOnSIceNeZty4iSQnN1X9OWcMR48AoIuN9do66yq1rahZWRrmz9d71AJXk3PBFRuL2V8hCDKajWzO3saazA30Sb6QeqHRNsv3TOrO70fXMHPzp1zVeiD1wxPKlr+y5QAiQyKIDIngwsappO9fisFsICWu9dkscctoF9fGkgQCuLrNYN7650NmbfmMPk16cqIwiyUHfvH6d7z+nCt5atkrfLD5Ey5u0osQrZ5VGevYnPUf93a+DYB28Sl8tXM+83enc05iBwqNRSzav4yGEfVpGp2MXqvnhz2LmLnlUy5p0hudRsfKjLXotXq6JFq6EHZO7MjSg7/y84EVtIptzubsbezM2eO0fNEhUQxo0Y/0/UspNpXQNq41p0vyWLjvZzQaDU3rJXl9n9RVgZBxVqgMnCw3xnHExFie+qWlpTF16lSKi4sJD7dkY4mMjOSBBx7g1ltv9V1phRC1UnUBx6uvhjJ7dnGVG4EvxyK50+3Ik2x8aiu2ubnqb5rObrKOuLq/8vPPsGzZMkaOHOPytqpTcuQwAPV6XODV9dZFzpNEKGi18PTT5dnVgmHMxOH8DF7b+F7Z3yFaPfUjEhnSehCXN7+kyvKhulDGnT+aH/YuIn3fzxSbSmgU2YDhHW6wmcfpto430DCyPmsyNrD04G/EhcXQv+lFDG55Wdm4pJS4VoztOoIf9y5h1pZPSQxP4LaONzBj8xyvfscWcU157IKxLNi1mM+2fYWCQnJUY0Z1uYNzG5wDwMVNemIym1iZsZY/jq4hVBtC+4QUrm1zFTqtjibRSYw+924WHVjOJ/99iVkx0TymKQ90vZdGZ7MPXtHyUvJL81l+6HdMionOiR1Vf58hra8gNrQevx9dw/KDvxEREkGH+LZc3WYQEWe78gnP+TvjrLDQKIq94de2/ve//7Fr1y5uvvlmwsLCWLJkCWazmblz59ZEGb3OZDJz6lSBx+vR67XEx0eRk1OA0ajuibHwDzlWgctkgtTUqLMBiuOMXBs3FtgEHKtX6xg6NNLp+hcsKHT76ZsrY5U8KY91H1SXlSwuTiEnx3kgNGNGEcOGGZk/X8/o0a5XWlzdX7t2bffqBLhWmTM/4Mz6dTQeMYqYXo7Hz0p2KXWsDyeASudYxSpA1dZVGTPhP3LfCi6+Pl41cc+rKyofq4SEKHQ6dQ8aVS314osv0r9/f3744Qf+7//+jzZt2vDWW295VGghhICK3Q/sPyWztKRoWbvWtjbs6VgkNVwZB+PJ00Br90Cgyvex/j1yZKmq9Vtbr1ydxNUb+8ubzqxfB0BYU8eD6l0dT1aXWVtRk5JszwttWS1AxkwEMuv4z/nz9axerZNjUgfVxD1POKfq7hIdHc3EiRN9XRYhRB3kbsARaHPyeJqNz1n3wMGDjXz+eYjqyVvVzeFT/lkInDmMFHP509rQJPtjJCS7lOvS0owMGWJm69Yo9uwp5tgx2+55lcmYicCwcKGOJ56IkPTTdVyg3fPqKpc6wJeU2KamPHjwIIsXL+bXX38lJyfHqwUTQtQNngQcjp6iV8y+V1O88TSwuqxkalqlKs+V42j5yunIPdlfDRs24plnnqFhw0Yuf9aR0uzylNEafdXne5Jdyn06HfTrB9ddZ6JBA3XXnoyZ8J/58+Guu8JUZ9IUtVsg3fPqKlVXXFFREZMmTWLLli0sXboUg8HAk08+yU8//VSWilOv13PnnXfy2GOP+bTAQojaxVnLSOWWlMoCZU4ebz0NrC4rmatJKxwtn5ys0LdvKVFR0LKlmbvvLiU01NVvbAlgduxoSEzMfezYUUSPHu5NoFqZNTFERMdOdt8PlOxSwT6+yhtzlgnPVHcOmUzw0EO4lXBG1F6Bcs+rq1QFTtOnT+e3337j4YcfBuC1115j2bJljBs3jr59+1JaWsovv/zCRx99RFxcHCNHjvRlmYUQQcRZ5dIbAUdNpkCujqeTgKqpiLt606y8/L59WubODeGrr8ojpQ8+CHW52481fXxmZh5hYcspKbmYpKQYr3QfKjl8CICoTp3tvu/JeDJvBTv20+cHV/cpTx9a+EKwB6OucHYOrVmj5cgRqH78p3SlrIsC5Z5XF6kKnJYuXcr48eMZPnw4AD/88AP/+9//GDFiRNkyXbp0ISQkhK+//loCJyEEoL5yWV3LyAsvBE9FFNx/GuhKRdzVm6Z1+fR0Pa++GurxuKCK44tCQg6TkDCarKwlZGZ29sr4ovx/NgIQ1sx+YghXW0qslfHFi/V8952ekyc9C3Zqy/iqQBszURuCUbXUnEMmk6SfFiLQqBrjlJubS0pKStnfxcXFdOnSpcpy3bp148SJE94rnRC1RF3MiGStGKjtm19xfM+sWcX8+iv8+29RUFaYKmbj69nTMqdSdcfe1X3lDm+NC6qJ8UUGy2N2hxn1XBlPVjHz3syZoTZBE7i+j2vb+KpAGTNRE9dAoFB7DqkdgyZdKYWoOaoCp3bt2vHjjz+W/d2rVy9WrlxZZblly5bRokUL75VOiFqgLqZMdrdyaQ04rrvORL9+OHzS7W4g6u0A1tn60tP1dOtme+y7dbM99jVVEXc37buv1uOIubi47P91sbF2l1GbKGPxYvuV8crlBfX72Nff3x+qS0pSE2pbMOqM2nNIUaBpU3vJXSwk/bQQNU9VzW3s2LGMGTOG4uJibrvtNh544AEefPBBSkpK6NevHwaDgfT0dH766SdefPFFX5dZiKBRW7r0uMqXg/fd7c7j7W5AztaXnq7nnnuqpnrOzNRwzz3hfPyx5djXVKIDb8067+vZ60uOWlqbtFFRaDSO16EmfXtqapTdynhlruxjX39/f/HnmIlASfZRU9SeG9nZGt56C66/noDoSimEUBk49evXj3fffZeXXnqJW265BY1Gg6IofPbZZ8ydOxdFUYiIiGDixIkMHTrU12UWIig4e4pamzMi+apy6W4g6u0A1tn6Zs0q5rHHws6+Wvk7agCFRx4JY+BAI3/8oe7ge1oR91YGtcrvK0o4BkNnFCW82uXUsmbUq9fjQqfLVjeebPXq6ivj9qjZxzWZia6uJEqorcGoI66cQ0OGwJw5JTzxRKhbCWdcVVfOOSHcpbqv0KWXXsqll17Ktm3b2LFjB6dOnaK0tJSoqChatGhBjx49iIyM9GVZhQgqde0pakW+qFy6G4h6O4BVs76JE8PIyamu0q4hJ0dD165RVcbcOOJpRdxbGdQqr8dobEt29s8ur8eR4j17AAhv1UrV8o5aStypZKvZx57sR1cqpXUpUUJdS4uu9hzq1csyEfSQISYGDizweUBTl845Idzl8iCLTp060amT7dwap06dIjzc8ezjQtRFde0pakXuVi6tFcvsbC0pKdC5QjZqdwNRbwewatZ38qS6Y6pmOW+lhPbmPFPW9Vgm0q34HTzvPpS3bg3gODGEWq5Usl3Zx+7uR1cqpXWti28gpkX3JXfOIV93paxr55wQ7lLdj+Ho0aO89957TJ06lU2bNgHw888/06dPH/r06UPPnj357LPPfFZQIYJNXXuKWpHawfsVKwYVk2iMHBlO//7QtWtEWSIFdwNRbwew3g10q1+Xt8cxeCuDWlqakTFjDGi1oNdvJSmpFXr9VrRaGDPG4HYFS1EUMFuesocmJ7u1DitnmfcqbBVwbR+7uh9dyRhX1xIlgHu/F8EuULIZQt0854Rwl6oWp+3bt3PbbbdhMBgICwvjyy+/ZMqUKUyaNIkBAwbQo0cPNm7cyLRp00hOTmbAgAG+LrcQAa+2PUV1te+7K5PBqnna6W4g6u0AtiYDXV+MY1A7z1R1xzs9Xc/771vmg9LpFDQaw9kn5/D++6GkpprdKrPx1Mmy/9eGhFazpHPVPdWvKDnZvX3syn50patoXe3i6+nk0cHI3TnfvM2Tc07GRIm6RlXg9Morr9C5c2fee+89oqKimDZtGk8++STXX389kydPBmD48OFER0fz0UcfSeAkBIE3uaQn3O37rqZioLZiuX59gVuBqLcDWGfrA4XkZIXCQsjN1VT5TmqNH1/CY48ZfHJ+OOv2U93xHjzY6LOkJyWHLYkhwlPa2rzubuXMUWW8fn0z111XyqBBJo8qemq6T7laKa0tXXxLT53k9Mo/iOzQkcj2HVR9JlACiZrkz2yGVu6eczImStRFqrrqbd26lZEjRxIdHY1Go2Hs2LGYzWYGDx5ss9wVV1zBnrMDe4UQgdUdw12eTkxZcTLYPn2qVoLUzmmyYYPOre483u4GVN36zq6VoiIYPrzU+g0qfyNV27n4Yv9UGJ0d7zfeCPXZPEYlhw8BEH1uV5vyeDIPmr05irZsKeCFFwx2z0dvc7VSGogtn2opZjP5m//lyFvT2T/xUU4t/IGcJYtcWoez3wvhfe6cc3VpwmIhKlJ1ZkdERJCVlVX294kTJwAoKCiwWe7MmTNota6lfxWiJry+4X125eyzeS1CH06z6CZc2WoAbePbAPDZtq9Zd2wjcWGxTOn9pN15ZL7fs4hlh36jbVxrHu42GoCf9i1l0YHlvHfpK1WWD+anqDWRUt2ViuWwYfZbEBITFV56yfFTTm93A7Ku75FHwsjJqVr+3FwN778fytixBubPDyEzs+Iy1v+vnFjh7Lt+7MKp5njPnBmial3utIjkb/oXgNCziSG8NWDdn0/1Xa2UBmMXX2NuDqdXrST3txWYcnNBqwVFAa2W+jfc5O/ieaQudEVz9Zyry1NtCKEqcOrbty+vvvoqiqIQFRXFe++9R9OmTXn//fe54IILiImJIS8vjw8//JCePXv6usxCuKVVXDNubHctJpMZs6KQX5rPyqNreXfTbCZ2/x/J0Y0B0KAht+Q0+04fpE1cyyrr+fvEJpe3HQjdMdxRE+MtXK1YpqUZMZth4sSwslTe2dlannkmDK2WaoMnbwawZrO1K15V1srDggUhPP98CaNGWbOOVl7eNnjydxdONce78ncuLU3hxIkVGI3NbV53p0Wk5MB+wJJRr7ZUzlytlAZbF9+8Des5NvMDyx/WCNdsBo2G+CsGEZbcxH+F81Bd6Yrm6jlXV8fhCQEqu+o98sgjtGrViieffJKHHnqIxMREPvroI44cOcJll13GTTfdRP/+/cnMzGT8+PG+LrMQbokICad1XAtaxbagTVxLujbozMgud6BBw9pjf5UtFx8eR3xYnN0Aaf/pg+SUnCY5qnFNFt1vamK8hbPsZxqNQnKyuaximZ6uZ+TI8CqpvNV0EfFWN6D0dD333hvuMOEAlHdZe+KJ6ibCteXvLpxqj2NcXMXjFYHR2B6IAKoeL7XMJSVl/6+Pj1fdhdOdLoE1yZ2uosHUxVer14FGg02zoEaDLjaOxLRr/FcwD9W1rmiunHO1ZRyeEO5QdeXHx8fzxRdfcODAAUpKSmjfvj0AX375JXPmzCEjI4Nhw4Zx9913k+xhClkhalKoNoQQrR5NpcpZt0bnsvH4Jq5ve7VNd72NJzbRIaEtpabSyquqlWpivIUrTzsDoRXCWga1qp/g1vIdxo0roW9fzxIVeIPa4zhqVCmvvhqKRqOg1R4lOvpN8vMfxmy2tC7cdlspP/ygd6lVz5BxFABNaCgajaZWVc7c6SoaLF18Q5OalKWQL6MoNLrtDrRh6q+TQBIIvzP+oPacC+ZxeEJ4yqVHJi1btrT5u02bNrzwwgveLI8QPqMAJrMJ09mbfH5pIb8eXonRbKRXUg+bZVMbduWXQ3/YdNczK2b+ObGFq1sPYk3mhhouvX/U1HgLRxXL5GSFF14or1gGQhcRZ2VwR/v25oDo0qL2eI8bZ6BDBzOTJoWRlZVDVNSXFBbeSXh4MhoNvPJKeYW5Ytem6saLlByxZNSrd6Glu3cgVM68Ob7FnUAo0Lv45v/zNxnvvQ1AaOMkYi7uy8nv5xN17nlEn3e+n0vnvkD4nfEXNedcMI7DE8JbvNrWXFpaSlZWlrQ6iYC0PWs3Y5ZPrPL61a0H0Tiqoc1rLWKaUT88gb9PbCoLnPbm7qegtICuDc6pM4FTTY63qFixzM7WkpISTufORShK+dPsQGiFUL9uhcRExUmLk0WgPJl15Xhbj9czzxj46SfLMgUFVb+rtWvTmDEGFiwIcThepGjfXgAiWlsStfi7cuaL8S2BHgippZjNnPhqHqdXLAcgfvBV1B92PRqNhvjLLkejD+5ubIHwOxPIgm0cnhDe5NXHptu2beOyyy7z5iqF8JpW8c144sKHmND9QSZ0f5AHut5L/2YXsXDfzyzcu6TK8t0adeXfrK0oZ/vu/3ViE50TOxKuD6+ybG1Wk+MtrBXL664z0a8fAddFxGSCrCz1laWXXy5xafxWIHDleC9erGfOnOqz7CmKBkWB994LrXa8yJn16wBLYgjwfhp5V9S18S2uMBUWsH/iI2VBU5OHH6HBdTeUdWkO9qAJ/P87EwyCaRyeEN7k1V+4xo0bM3bsWG+uUgividCH0zK2GUZjeQtGx8R2lBgNLD30G/2aXWSzfGrDriw9+Cv7Th+kVWxz/j2xhZvbD6vpYgeEQBhvYTJZ/sXFmR1OLOvLVgh7LRCOaLUKM2cWc/XVRrRagu7JrCsTF6tTffbBSZNC+aa7JUgKTW5S1kXOYIDHHjMwd65tSnd308irUVfHt6hRcuQwB597uuzvVtNeJaRBAz+WyDf83dpZkz75bx5/Hf+XoSlXMaD5JS59NhDuC0LUNK8GTo0aNeKBBx7w5iqF8LnmMU35M3M92UWnbF5vWi+ZRpEN+OfEZgxmA0azkc6JHfxUSv/zZzcj+0FLzaXydjSfUNW5mCwLWIMm8P4cUjXF2fG2jgPRahtw5swDmEz13dqOomgoPZVb9veiZVFVjnVSkpkJE0po3drs88pZXR7fUp28tX9y7KOZAIS3SaHp+MeCNvmDM3WlK1qRsYhNWf+RHNWY1RnruKxZX7tzF1antnQ/FUItjwOnY8eOceLECVq1akW9evW8USYhatTBvMNoNVrqRyRUea9bw66sydxAiamErg06E6JTN/mn8B7HQYstXwUi1bVAVP47Odl+GdQ+mQ2myTat4zvM5iTOnHnCo3W1iTkAQFFca7vH+tgxDa++Gsrs2cU+r6T5enxLMB1jAMVk4tgnszmz9k8A6g+7nvjBV7lcwQ42wfrAwxV/Hf8XgBvaXc1b/8xkZ84eOiS09W+hhAhwqgOnjRs3Mm/ePAwGA7fccgu9evXi8ccf58cffwQgJCSEsWPHct999/mssEJ4oqi0mH25BzGZLF31jGYjm7O3sSZzA32SL6ReaHSVz6Q26sriA8tZd+xv7jv3rhousXAlaHEWWLlLbRa9F14o5t57Sx1Wgp09mQ22yTat4zs0mnxCQjZTWnouilL1GlIjJeYgAD/+18PvXeR8Ob4l2I6x8Uwe+x9/DOXsHFtNJzxBZLv2fi5VzantXdHWZPxF+/gU2sWn0CAikVUZ66oETssP/c4fR9aQZ8ijWb0mDGzRnxmb5/DQ+ffRLt6SyCUj/xg/7F3EnlzLBNbt41MY1jaN+hGJXi9zsD14ELWPqsBp1apV3HfffSQlJaHT6Rg5ciTXXXcdixcv5oEHHuCcc85h1apVvP322zRo0IBhw+rmOBAR2PbnHubl9e+U/R2i1VM/IpEhrQdxuYO+3UlRjUiOakye4Qwd4lNqqqjirDVrtKpTfx87Zhm478rAZDU3YbUtCw0aKB5NqGuvpcWajCAQB1tbx4FkZe2jfv0byMpaQmlpF5fXo9Eo9G32NwB/H2lF9RPe+r6LnK/GtwTbMS4+sJ9DU54v+7vVq28QEh/vxxL5R23tipaRf4yDZw4zovNtAFzYuDuLDywnz3CGmFBL76FF+5exaP9yBjS/hPbxKWw7tZPZWz+3Wc/xwixe3/gejSIbcnunmzArZpYc+IXXN77PkxeMs/tA0l018eBBAjPhjKrA6d133+Wqq67i5ZdfRqPRMHXqVD7//HPGjRvHqFGjAOjXrx8ajYZPPvlEAicRcB7pMYb4+ChycgpskkNUdkenm6q89tSF46u89nC30TZ/X9V6IFe1Huh5QYUNV7pDudoqofYm7OsMW86SEYDj7+TPm7x1HIhnnQws+6xTve0A7M1r4fQTvk4B7en4FnvHBIIr4UTubys48flnAER2OZfkMQ+iDZFuyrXJmswNRIVEcm79TgD0TErlp/1L+TNjA4NaXkqJycDSg7/Rt2lvrk25ErAkUzKYDKzKWFe2nkX7lxGiC+HB80cScTbjbPv4FJ5d8xLLDv3GsJQ0r5S3Jh48BFuLsPAPVY9yd+zYwdChQ8v6NN9zzz0oikK3bt1slrv00ks5ePCg90sphAh6JhOsXq1j/nw9q1frMKl4iOtqMGJpldCydm31tU9X0k1bWyAcpRQHhaQk91OKl3cFdBQQWL7TG2+EVvkOqalRDB0ayejREQwdGklqalSNpspOSzPy/POGKq873ldVPXB/ftn/HytynqGtJlJAu5tq2dExeeON0GqPsdrz1tcUo5Gjb79ZFjQ1HH47TR8aL0FTLWMym9hw7B+61j8Hg6mUwtIiwnRhtIlryZ8Z6zArZvafPkipuZRuDc+1+Wz3RufZ/L0zZw/t4toQqg05O8G8iXBdGG1iW7Hj1G7vlNfpwyXL+2ruKY7IFARCLVVnQkJCAgcPHqRXr16AJe34+PHjiYuLs1nu0KFDNGzY0M4ahBB1mbtP8nr1MlfbbcqR6lolXE03XV0LhIWG4mKFxYv1bj2VVNuC8soroXToYCYtzRhQ3b769jXz7rvwxhvFbN5sYObMENXjzTQa2PjzCW46B9BqSU5WyMzEq13k3OXq+Jbqjskrr4Ta/1Al/pxQ1Zibw75Hx5X93ezJZ4ho3brsb1+2bkr3qJq15eR2zpTm82fmBv60M5n79lO7KCotAqBeSJTNe/VCbZOAFZQWsvHEJjae2FRlPdGVPusuX2e6lCkIhCtUBU5paWm8/vrrKIrCkCFDiI6OLuuiB2AwGFi+fDlvvvkmQ4cO9VlhhRDBx5NKvvOgxb7qWiXcuQlbWyAeeSSMnJyqZcjNdT9gcaUFZdKkMAYONAbUTV6v19O4cWO6ddPx4ovWW4q646QoGmIMhwCIubAXU64OrBTQase3qOluqYa/JlQt2r2Lwy+/CIAmJIRWL7+OPiam7H1fdmGq7d2jAjEoXJu5gfrhCQzveEOldxRmbvmMlUfXls3plGfIp1FU+QPxM4Z8m09E6iNoH5/CZc37VtmOVuOdL+rrTJcyBYFwhaqueg888ACXXHIJkydPttsV78cff2T8+PF06tRJ5nESQpRR08XiqafCWLnScRc+R92m7NFoFJKTq+825+5NePBgI+HhYK8S7El3EWtXQOeVa0t3rk8+CXGr25c7XSXVaNeuPRs3biQ7u6OTLof2dYrbA0B4SorbXeT8TU13Swv7x1jNeesLiqJwavGisqCp3oU9SXl3RpWgyVddmGp796hA6E5b2emSM/x3ciepjc6jXXybSv9SOL/Bufx3cgfxYXFE6MPZlL3V5vObsmz/TolrzbHCEzSNTqZFTDNaxDSjeb2mrDi8ssqy7vL1OFNfB2aidlF19YaGhvLaa68xbtw4GtiZJbx37958/vnnpKam1vq5HYQQ6ql5kpeZqeG66yLLXktONjNtmoE77ihfrmK3qSVLdHz4YSgaDW61Srh7E167VkdmpvefSlpb1e65J1zV8gcOqMsyWPEmXxNP9d2tVAxosgqAsKbNgOBMAe3Kdw+U1jSzwcDhV16meI9lHErjESOJ6dXHZhlfdmGq7d2jAqk7bUXrj23ErJirjFWyujAplT8z17M2cwMDmvfjp/1LCdWG0ja+NXty9rHy6BoANGeP2ZWtBvDaX+/yweZPuLhJL0K0elZlrGNz1n/cezZjn6d8lenSyteBmahd1N2Bz2rSpAmhoVX7aicnJ9O9e3cJmoQIQr5qiQD3KtOZmRruuiuM+fNtX7d2m3rhBQMff+x+q4SzZA+Onv778qlkWpqRCROqJlmwp2VLx1khK7Le5H/8Uc899/juqf6OHTvp3DmVtWt3ufxZjcZMTKil609Yk6Zlr1uP9bBhRvr08SxoMhjgww9DeOKJMD78MASDut1sl6NrRW2FasIEQ0C0phUfP8GOUfeWBU0tnn2hStAEzlvSPElq4ct1+1tNJDNw15rMvyzTbEQ3tvt+m9iWJIYn8GfmBga26MdVrS5n/bG/mbHpE3bn7ueasxn2wvSWumCT6CTGpd6PBg2fbfuKj7bOJa8kj1Fd7uC8hq5PT2CP9eESVE08440HD+7eE0TdFNzt4EIIj/i6JcKdJ3TWp80PPwx//21/GU9aJdxNN+3rp5LjxhmYOzeEzEwN9iqT1qeqd99dygcfhKp6+vrjj3pGjQq3u77KT/XB9bEYlvNHBxzjs88qdkezVxm2fV2jUUgIyy37WxuursXNlTEjzz8fygcfhGI2l2/32WfDuP9+A88+61oEVd21MniwUdUT8XHjDIwbZ/BLa5p1vxVt20rzdS8DoIuNo+Xkqeii7A/i9+XDgtrcPSqQx8w80/PRat/XaDRM7v14Wea9CxunMqjlZWXv/37kTzRoqB9ePrlt83pNGXveCJ+VGcq7bFuuwfJzIilJ8fh+5ekUBKJucanFSQjhO75s+bGnJsYX9OxpIilJzfgdW4qi4fBhywS4juh0lvU3aqRw/LilEqJ2n7kzlsbXTyV1Opg6tQSNpvqnqqGh6p6+Ll6s5957w22ChsqsT/XfeCPU5bEY1vMnK8tRkFTd35Z9/d6zlhaP0KZNq7zvaJtqy/n886G8914o5koNdGYzvPdeKM8/ry7TnXW71V0rixfrVT8R92ZrmivlT02NZPETC8qCpp9PDGR7v7cdBk3g24cFtbl7VG0ICnVaHUsP/caHm+fw74kt7M7Zx+9H/mThvp+5sHEqkSERNV6mtDQjGzcWsGBBITNmFLFgQSEbNxZ45SFfsI6vFDVPoyjOE8deeumlqrvhaTQali9f7nHBfMlkMnPqVIHH69HrtaomVRX+F8jHymSCN94IZebMEHJzayazlMkEqalRZyuCjp+Qb9xY4FHFLj1dfzYTnXvPaGbNKuaaa0odrrtyC0BcnJlRo0oZN86gqtyuZryyVqDB/viqmpyE0dFykyeXEB+vMGJEOLm59o9vVdbbgLrvVPH8CQnZSoMGg8jKWkJpaZcK6ytfl7VciYkKmZkaTp7UkJio0Dp7IdF/fU1C2tXUv7b6idNtx4xUX06DAZo3jz4bNNkP7LRaOHQoHzu9zx1+V2fXyuLFgZchLj1dzwOjFGZc9CStYw4D8OT6Caw8fgFQ/Tlr/e7OWtLc+Z3w5br9bfVqHUOHRjpdbsGCwmpbnPx938ouOsWPexezK2cvRcYi4sPjuKBxN65ocSk6bc0flJrIUOjJNvx9vIR6lY9VQkIUOp26eoqqwGnu3Lm8/PLLREdH079/f6crnTZtmqqN+4sETnVPoB6r6gILb1bGK1N7Yx8/voSLLza5dYNyVNF1xY8/FtGzZ9Xv7mzd8fFmXn/dN5VVb3VvrO4GrfbmXXm5kyc1PPNMWLXdhOyz373OUeW14vkTErLFTuBkMW5cCX37lp8/lffdG72ep0eDzWRc8BD9Rp3vsHSuBvoffhjC00877/r3wgvF3Hef/cDc3netjrUSHEjpp00mSOudy1tdHi577ZZf3uZwQRNAXXDiy4cFztY9a1YxiYlKQOxLV3grKAzU+5Y/BEPaejlewcOTwElVX5zbb7+dhIQEHnnkES677DIGDBjgUYGFqM2Us32DNNrqL0JHWZfK1uPDzFJqu4hMnx7G9Omu36CqGxxty3GFvWlTDb16mavsHzXrzsnRcM894Xz8sfeDTm9kfauutahiRfGaa6o/7hXnGUpP1zNypOPzyT7r/q9ugH7VsRgVzx+jsRXZ2f+H0diqyufbtzfblK/y+d6jwWYAxk1rywvJjicQdnXMiNrMg7/+qncaOLna7Urt3E/e4CxI+/vrf3iry1sA7M9ryqiVL1FkKu9ipWasjS/HllS37qFDS6s8BAi0irIjMmbGuwI1Q6Gom1QPYrjqqqtYt24d06ZNo3///uj8dMV/+OGHrFq1irlz5/pl+0I4k7tiOdnf/h8hjRoS2qQpYUnJhFr/NWqERq9XHVj4ahCxq+MGXL1BOavo2qqaNADgzTctFRBjpc2pW7dl0lFfpTP2pHLsqBKQkaHh3nttEzmo7XqoPlB1T+XgoeL5oyjRGAy97X7Oupy98uk15QFLZmFDJk3SODxWrgYvajMP/vWXFpMJn6SvV8vdFqrqnsBfdaWBE19+TuyvKwD4bNcwZu64FUfnhrP968sU8fbWffKkxu5DgGCqKPsy4KztKl4T9esrPPVU7U1bL4KPS6O/H374YcLDwzl06BCtWlV9uuhrX3zxBW+++Sbdu3ev8W0LoVZIYiKgYDh6FENGBvkaDWUj1DUa9AmJZPUcS0bGuarX6e1BxM7mxajM1RuU+vJaApyKkpIUpk0zMGxYODk5nq07I0PDRx+F0KCB4rSy54suVpXX2aOHqZoAp+q+yM3V8sorYcyaFVJt10PXAlULrVZh/HgDr70W5nTZykFBxfNHozlGVNQcCgruwmxOsnyTSvOq2Ctfi3pHy/7frOjIyMDhA4IGDVwLXu6+u5Rnnw2rNjEGQF6e1ulDCV/OIeNu96PqnsA/NNpIq2sfIaTYcvGMXzOJ9VmOu0GCuqDPly1pFddt7ebmq4pyTXalDMY5yfzN3jVRHX9mKBR1k0t32oSEBJ588skaD5qOHz/O6NGjee2112jZsmWNblvUHd7Kahd9firNHn8KXb0YqBg0ASgKxpPZFBzOdGmd3s4sVd28GI64Mq+Ka+W1VI7Gjy8py5I0ZIjjne/qvnj66XCnGdhcydYG6s4Ve+vs2jWq2rlrnHU9dFQe1wJrBVCYObOYRx4xuJUpsOL5o9NlUa/eu+h02WWfAduuSPbK1ybmIADLj5TPH2RvufR0PQ88UP14pcrlDA2Fyy5T90Tf2b7z1Rwy7ma1rK51sVX0IRYPuqssaGo+9VWOhHQNqvlpfDm/k6vXuTf4I4tisHJ0TagRyBkKRe0SFOnI//vvP0JCQvjxxx/p2rWrv4sjaiFv31DDW7ai+TPPE5rcxBI8VdLwxEpa1TukYk2+q9g4Sr/qjJoblLPU3fa0a2dWVbGwrtvVFOdgv1LqagVWzbniaJ0nT7p7c69+0kxXgsnkZIWPPy7m6quNHgUF1vOncmuQvfS99srXIXYvAJtOdXK4nHU/Wua2ss9ROceMqX7sUnVlq8zbqYo9mSDVUWBxRdPf+Kz/eAA2n+xA1u0fEd6ogdeDPl9Pm+CrVN41Mf2CcJ+n3Y2DMW29CE6qsurddtttTJo0iQ4dOqhe8ZYtW3jxxRf58ssvPSpgZY8//jhHjx71aIyTyWQmL6/I47LodFpiYiLIyyvCZJIMKoGsumO1cKGOu+6q+oNtrVjMmVNSbQtIdcwlJRyd+SFnNv4FGg26qChM+fk2yzy+fiJ/HkvFTOXai2X7n37q/vbVMJks8yX98YeO115zPrfN1KkljBrlvJuMo/3qyI8/FnHRRZZj4+zaUrdux4knkpMV/v3X8hvQtWtEtdnarMvqdOrOlSuvNFW7Tk9V3E9WJpPlezjueqkQHw8ff1zMRReZqxy7hQt1PPFEqE33mCZNzLz4osHpubdt2zZuvPFaBg9OJz7+HPr0MVXZhr3yfT/wXuqH5zBm1RS25HSw2c8VP+NsP1Yup/V8zszU8OSToWeDVefHVg3ruq3drnr1qrov1Vi1SsvVVzufB8d6rCtud8cOLa+/Xn6d6jQmnjjvXQY1+wOAD7bdxhd7rmXWrBKuu86yTzw5vhXZW09ysplp01xbT3Vc3TdqODuX3DkXakJdqmOoPe6VBdKxq0vHK9hVPlYxMRGqs+qhqLBkyRKld+/eyujRo5WffvpJKSwstLvcmTNnlEWLFil33nmncsEFFyg//fSTmtW7ZOLEicptt93m0TrMZrOXSiOCndGoKE2bKgrY/6fRKEqzZpbl3GU2mZSD875Stj7/gmLIzVVMJSVK5s/LlFVXD7P5d1e7r5VofX7ZthMTFeW777z3XZ2x7guNxvH+sP5r2lRd2b77rvr968k+/u47yz5yVlZH/3791fJP7bJqz5Xly90vk5p/8+Y53h8aTdXjZ33N2fEyGi3fc9688u+rxptvblaSk5OVkJDN1Z4flctnPe+jQ/Ltlk/tsVm+3HYbzs43V/aJr8ybp/5YV/ed4kJzlWVX3lK2L89N+M/mnK3I3eNrZT1+vt6Xzn6H3Pm9cOU69xaz0agUZ2creTt2KlkrVylH5n+vlJw85b0N1DJqr4lAuo5F3aSqbfqKK66gR48evP/++zz11FMYjUZSUlJo2rQpERER5OXlcezYMXbv3o1er+eGG27gtddeo379+p4EhD5jNivk5RV6vB55uuAdR89ksmj/L+w6tZeC0kKiQiJpG9+awa0vo1m9ZABe3/A+AI/0GGN3HX8e3cCn/33N1IufpH5EQpX3Kx+r7KJTPLXyRQB6vea4bL9NHkcxcMu3bzC++2jaJ6Q4XPa+pY+S1vpyhqRcUeW9eoPSqDcI8s1AQSlhPXrx1q3f0TEvlfO/20CDsGzu7fA193b4mo2nupLX4zZGP9kInQ67CRJ8ZepUS4uKRgO2LRcKFZ/UHj2qcP31zlvj+veHf/6B118P4aWXQs6+aj81b15e+XrUXFv9+8OOHZZ1z5iht5k8WI09e4rP/p/z+X727CnmzBmFI0ccPxFVFDh8GBYvNgDOW+4q71O1oqOLyMmpuk/694c5c+y3CLz4ooH+/U1Oz6WuXS3/APLynJdl4UIdjz4aR1TULZjN8WWv2zs/KpavMPtM2bKxDSN478XiKuXbs0eHmmOzf38xOTmmalohlbP/tZ2QV+0+8YXoaC3g/On65s0lvPxyqN3v1CFuDx/1fbzslWuXziS7OLHsCXznzkVVvlvXrtCtm+v3LZMJHnww4uxvQuWuhZbr+H//U+jb1ztP/R39Djn6vXBG7bm0Z08xXbu613JWsHMnub/9iiHrBKXZ2Rjz8mzHtwJFBhOJA6veHxypS3UMtddERf6+jiurS8cr2HnS4qS6U29CQgKTJk1izJgxLF26lHXr1nH48GHOnDlDfHw8bdq04Y477qB///7Ex8c7X6GfeXNyMpPJLJOduSkj/xivbXyXVjEtuKHdNdQLiSKn5DS/H/mTl9e9zUPn30er2BZnKw6Oj1vH+PY8mjqWKF10tcfCeqyidNE8mjqW337T8fLLYYTH59HnkQ/ZNn8wmX93Lls+72gS8a0On/2sUu26H00dS1xYrEvnQqtz4+k55DXW/3Ia7Z/fEX/kD1ITNsHeTey8V0Pygw8R1fncsjmhvDFpanUGDzYze7ZSJYWuo+xWTzwRysCB1U/iCJbED+3amRym5h082Fgl7bjlOzm/tsaPL+Ghh0rKvntWlkbV5Kf166s/TvXrm1UPWDabFecLAYmJiktjnqzZ23r0sL+vwHL8Bg4stXseOPqMu0wmeOKJCIzGppw+bfv0wdH5YS3fxvm74GcwxjTmr78K7JYvPl7dvomPN1NSYuaJJyLsBBiWvzUahcREyzxZ1gx4vtgnavXoYXaaqa9xY4U5c0LsfqehLX/mkXNnAbDqWCpP//UYpeaQssDihRdKUBRztd/PlfvW6tXO59E6elTDqlUar2Q2c/Q75Oz3wpH69dWdS/Xru38vP7lsGfl/rXf4fvygK4np29+t9deFOobaa+Ldd4vJyvLtb5un6sLxqi3cOVYuj4ZMSEjg5ptv5uabb3b1o0JUseLwSqJCohjT9R502vLad9cGnZm89lUWH/iFMV3vcbqeeqHR1AuNVr3dEK2eVrEtyKiv49SeSCIbnAQg/3gDTu1p7foXAVrFtnDrczod9BoYCwPvwWy4jbw/V3Hi889AUch4+00AEodexzrDFTz5fLzd1MWA12ZVt6bQ/eijkGoDEFfTwPoyNW/ldMYffBBa7XifxESFzExLGZKSzBw75jzVtNosXn36mPj6a+fpq9evL2DdOh0jRoSTm+tsPFT5k3Zn+6umJmAtT1JQhF5/CKOxORWfGDs6P3Q6aBt7kCyg4UXdHX4fOzlVHC6nZoLc7GwNe/ZoSUryfwY5NROkXnihie+/D7H5XIi2lKndX6F3478BeHXTKH44WN6C4as5gtxJ2ODpgxxv/l74MqU8QMnRIxhz7TR5aLVow8NJGjWaqM7qp5+oi9RcE1OnlnDxxf6/fkXdJmlkhF/lGc6gKApKpQxpYbpQrms7BIPJYPdz207u5MPNc7igcTdu7XA9a49t5PPt3zC51+MkRiTw2bavyS05TY9G57P04K+cKs6hSWwSV7ceRIe4dmXrsd5QT5fabyWwPqkGOF54gqUHf2VP7n7C9WH0bNydIa2vKAv4xq6YwJUtB3BV64EAnC7J44e9i/nv5A5KzaU0q9eEa9pcSWsHAVb6vqUsOfALt3W8gQtnfcIn6z4i69BO2u3J56/SXzkT/QcDHg/l7y+uZ+u6voAlI9TYxwo599bv6TF5G9qQUk7ubs3mz68j82DTsskiG3ffwNJDv3GiMIswXRgdE9pxbcqVxIXFAnAo7wgL9i7iUN4RFMy0jGlOvcZXAh2dHkNXslt5WqlXUxmr7gZsDUBOntQyZoylkh8fby7rbuSoW5BOp77y1aePyWkFYMqUEkJD4eKLTUyfblkWKpe1XHKybyfNtGZKW71ah0ZjOUa9e1dfSbUe95CQPTRoMIisrCWUlnZxuFxFBdu3ARDWvLnD9WdlqTuv1C4HMH16GNOnu/9QwRlXgoW0NCOzZhUzcWKYTctjUpLC0KGlvPeebXfP+uEn+X7gqLK/7/3jZXbkpjBuXAnt25t9OkeQq5MAuzs/VWXeegigplLucnbB/HxOr/yD7O++cbhMeOs2JI8egz4u8HvhBAKZNFgEg6BIRy5qr86JHckpyeW1je/x+5E/OVZwHOVsv7xuDc+lZ1LVyY535+xj5pbP6N7ofG7tcD0aB4+mD505wvJDv3NV64Hcf95d6DRaZvz7KYWl5ePbKqZjrsx6Qx0xwpLW+LvdC2kT24r7z72bbg27suzQb6zMWGv3s8XGEl7f+D67cvZybcpVjOxyByHaEN79dxYnCrOqLL/80O8sOfALt3a4np5J3dFoNOhjYshqHMmWS1oR92cz0v44TT1dIV0enMeiobdwYYN/CI0+w6WTXyO+9SH+/uQm1r09Ao1God+zrxOddAyAlz86wqfbvua8Bp0Z03UE17Udws6cPXzy3zwAiozFvLdpNtEhkYzscjv3nDMcg8nApnoz0Uc4zz5ZU2lgXUkZ70qqdUtrD8TF2S5bOdW0K6m7XUlf7WjZ+vXN3Hdf+dxWvqo0pKfr6dQpiuuvj+SNN8KYPj2M666LpFOn6uexUhuw2Ds/CrdsAiCsaTOXPudoOVfPQV+koHZ1SoP0dD3PPBPGyZPlt+HERDPPPVfCggW2LU3nJmwrC5qKjGGkLfmYHbmW8ZZ9+/p+jiBn0wtUnA8qUNN+eyOlvGI0kv/vP+wd/z/2PvyATdDU8Pa7SHn3A+r17AVAQtrVNJvwRFAGTb5OOV+dtDQjGzcWsGBBITNmFPn8908IVwVdi9NLL73k7yIIL+rbtBd5hjyWH/qdb3Z9D0AYUcQb2tM16mKu6t3EpjJwMO8wMzZ/wvkNuzC8o+OgCSwBwcTuD9EgMhG9XktiXCzP/TqdnTl7Ob9h+ZPxtDQjhZoSfq/0eetTrna9TKz/B/o1vYjBrS4DoF18GzZn/ceunL30a9qHytYe+4tTxTlM7PFQWYKLNrEtmbbhTXbn7qNhZIOyZVceXcP3exZxS/th9E7uUeU7DNCO4445zQnTlXBV32/Q3fcnx5M1vN5rCn+eG8WGmHr88uiTnDreBIDMf89h0PTnOefGdNa+ORLq70NLCJe36E+I1nLJR4VEcjDvMIqicKzgOPmlBfRvdhGtY1sC0CiyISuPruPPloUc3BHuk+4taplM8MYbobzyStWEC9bKmL2KT8WuPpmZGp5+OsxuamrreJyICJg1q5DsbMetBa48EU1LMzJwoJFPPgnhwAEtLVuaufvuUkLt5I3wRTdGNa0f6el67rnHfndM66S7H39su2/ttSbYU/n8KCtPphnrKMKQho0cltPV7lXVLVuZ9ZhPmhTG4MHOU+s7Yi37kiU6PvxQ/flpDS6USnHIqVMaRo0Kp/wcVbgtZQGjO30BwJLDfZn27wOYFB1gSQJRE5PXqm2xgernp/LGPveEu9dZyZHDnFz4A/kb/7J5Pbb/pcQPHERog4ZlrzUeMYpGt92BNtz11NqBwFuthZ6oqe7GQrgj6AInUfuktb6CS5tdzOfL97D0n31EtdpFSaO/ySz5hw8evo6xV/SGZDhVnMt7/87GjMJN7a5Fq6m+4hYdEkWDyMSyvxMj4wDsdv+77FIjv6+B/z1YQtQtRTY31F1nu66nxLUqW16j0ZAQHk9Rqf0WmX25B0gMjy8LmgBCdaE823OCzXJbTm7nyJkM2sS1pE+TC+1+h8ITliCrxBTGz/8N4kr+5JN9Q5lg/onDjfU0Pl3C9z3/x+8ZF/DB9tvJLGzEsX/PoflFloHKWdvbYlR+YOq61zm/4bmck9iBjgntOCfRMi9bUlRjokOi+GDTJ3RreC4dE9vTMaEdw9peSehjekaMcN6NzVcWLtTx+OMRZGbaP9bOKmPWG/Dq1TqbJ/v21pORoUGng2HDqq8cqK182auAfPBBqMMKiDcrC2oqPyYTPPVU2Nl37QUbGsB23zqq8Ff5ZKXzo2J5WkYf5vNLLctNfiGcBQtCHJbTle5Vjrtn2ufqGL3K1ASQ9s5P55PfWr5bmK6EN3s9T5eEnQBM/vt/LD1yic3yvr7+KrI+NHjqqTCbCYkbN1aYOtVyvNQkkfBknzviShdJtdeZ6cwZTq/8nez539q8HtasOQ1uvpWItu3KkvZUpNFo0ARx0GTv+q7uAZUQdY0ETiIgrPg5hqdH9EZRegMa4loe5oKxn9Diqu+5f+wF3DVDwyndKTomtGNXzl5+2r+M69oOqXadoTrbJ8Cas4GWGce1vpS2Cr362r8xVF6fVqOpMjbLqqC0UFWyisNnjtI5sQNbT+5gS/Y2utTvVGWbFbshKYrlOxwsbEra73NIu/IpIhqd4p1bGgIH6MMLNp/XhRo4tbs1/ULv5XjE76w49AdLD/5KvdBoBrW4jH7N+hCuD2N8t/tZfGAFG09sZlXGOkK0IVzYuBvXX3kNs2fjlz7n8+dTIb20Y2oqY+4Mbq+Os8qXPysgardtaYlz1lu7fN/27GmyW+FXFA2KEmoTrFQ8PyqXp03MQQB+z7yA93503krjrLJu5ag10JmVK11v5VMbQELV89NZIgvQkBR5nP8bUD71wh2/TmffGduxkRMmGAKuEuvt60wNb7aQKEYjBVu3cHzO7CoTlTe84y5iLuiJNtx5xs5g5Cyg93droRCBQnXglJuby4IFCzh06BBt27bl2muvJTIy0maZw4cP8/777zNt2jSvF1TUPrklp3llw9tc2fIKJk3qb/ODnXugGVu/vpo+j35IVKNs9u/X0qFrY+4/924W7vuZXw7/QfdG59EixvEYiYosTyQt/79nt4YLGuLTH/8IfTjZxaeqvL7v9AEi9RE0jmoEwEXJF3Jz+2G8tvF9Ptu8gB657WjSKMym+03FLkuVFeXX48zJRHbMS6Nv0npubrPQ5n1N88VsKL6cYb3botO1xWAysDNnD78dXs3/7f6BVrHNaRHTjEZRDbnrnJsxK2YO5B1m/bG/WXl0DfUjEklL6+ezbHiOmEzw0EM4SC9tX3WVMVcHt1csh6vf258VEFe27Url9fhxjcMKv9HYmczM/WV/v/BCMffeW+qwdaV93F4A/sm2dtirvpyuqNga+McfOt54I8zpZ6ZPL19GTYW7un1cHev+tncdV3RBg3+Y3msKACeKErjztzc4U1rxIYyli964cfYT5/iKo2Dx2LHyQNfd68zbZXL1AUXJ4cOc/PF78v/ZaPN63KWXEX/5IEIaNHDwydpDTWZKX7QWChFsVCWHOHz4MGlpabz66qssWrSIyZMnc+WVV7Jlyxab5U6dOsX333/vi3KKWigmtB5ajY4lu9dwLMtE5UpIveTjmAwhnMlsSIkBTIVR6LQ6rmw1gPiwWL7Y8S0ms/Mf8PR0PV27RnDLLZa/334njM6do3j66VCfDXxtE9eKk0WnyMg/VvZaqamUmVs+48+MDWWvxYTW46efQljw9HDyjWeYvW5J2aDyI0csl6dNUoJKLVzZ21Ool3Sck0eb8u2q4Vw35yumpT/J5ubR/NcmnP91+oxRI+5n2s+TMGSdIFQXSpf6nRiachUAJ4tz+PvEZiaufJ7TJWfQarS0jm3Bze2HEqGP4FRxblkZ+vTx/SB0qzVrtBw5YvnGalVXGXNlcLuVq4P9rcorIPbLbqmAaFWnN3eFK9t2pfLaqJGiOtBq0EApOz/slad/8hoA9ua1cFrON94IZcSI8CrBhrWybu9YWM/VCRMM1R5zS5c42/fUJDBwto8dadRIIT1dz9NPOwrmFEZ1+KIsaPq/fYO5fvkMm6BJo1HQaGq2ix6o6V5oeb9HD9evM1+XydHvu+nMGU4tSmfXvXdx8Pmny4KmsGbNaTrhCdrO/JiGt95eJ4Im8E9roRDBSFXg9Oqrr5KQkMBvv/3GunXr+OyzzwgLC+Ouu+7i33//9XERRW2l1Wi5uf1Qcs2ZDHhxGq0H/EH9jrtofN5Wut7xf3S+8Uf++/YqSguiADBYktsRqgvlxnbXcjQ/k+WHKqd0sOUow9PJk1o+/DCsrDL8ywrv9lrtldSdxIgEPtw8h/XH/mbbyZ3M3PoZJrOJvk17ly23a7eWESPC2bOxKbsWXUaby1eS2G4vmZkaVq/WUXQ2AaC1G1LDhrYVktN/XUpsnJm7PnqTzoP+omHnnShDt7KtUygrdl7LmaTuNDtmIDOshJk/vMAvU//Hxn9+5v92/UCUPpL28Sm0iW2JWTEzc8unbMrays5Te5i34zuKjcWc37Az/uDKzVlNZcyVjHjg+LxRU7H2ZwXElW337GkiKclM5eDBVvm+dRRo6fW7qV//CvT63YBtAGuvPEmRlqySe/Kcz3s2c6b9CWDVVIyrO+bl39n19bp63Kzn58mTlnPH3qTHEboi5vZ/mDvazQfg1T2P0eXh4TROsl3WlQxw3qQ2IN+wQefSdVYTZar4gEIxGsn/ZyN7HhrL3nEP2oxfanTn3aS8O4MWz04msl17u+OXarOabi0UIlipqi3+/fffPP300zRsaMkcc8EFF/DVV19xxx13cN999zFv3jzatGnj04KK2qlz/Y5cEfoQMw+tpOPQJYTVO4PZqCdnf3PWvnUvRzecX7ZsaIjt585v0IXFB5bbZMizoajrUpORoWHihDCufMc73wkgXB/OuG6jWbDnJ77Z9QOKotAqtjkPdxtN/YiEsuVWrNCXlW/bt2k067WR7qM+Z+nEpwDIydVgMlGW4vqC/oU8vw7uvNPA+Q8X0rNnCKdKxvLDvsWUjviSEqORCFMDztHfyPBXu6PTDcBcXEzoH1/xe9wmFjbToTmxjKSsUu5OuoQIsw5tWCQPnHcvC/f9zBfbv8VgNpAU1Zh7u9xOu/gU7+0UF6i/OauvjKnNiOdpVztvVkBc7SroyrZ1OsuEkpasegpVrxF181hpNMWEhm5FoymqEsBWLk+9kDNl/3+mtJ7TcubmetZ1yPG4J8e/B87W60rF0RosTJ5cwjPP2D+nmkUd5cvL/lf2960r3ua5txNISzNy1VXlWSFPntSQmKgQH6+U/SZU5umks47WpzaF+PHjGq65xshjjxmYOTOkLNU/eH9cpCsPCUoOHyL7hwUU/PuPzXtxlw4gfuAVhNSvG61K1fH1JMFC1BYaRXE+vPWCCy7gtddeo2/fvjavnzhxgptuugmNRsM333zD0aNHufnmm9m+fbvPCuwNJpOZU6cKPF6PXq8lPj6KnJwCjEazF0pWN5lMkJoa5fQHe+PGApcqAatX6xg6NNL5gh5swxNqy7dgQaFX+pQrZjOF27aS8d47KKWlZa/X69mL+kOvJyTRkoHQ25Uvd2g0Ws4/P4qjR6vPkObOIHBn38/T4+Kt89mdQe/ubDs9Xc8jj4SRk2MbpCQkmHntNdttWVvioLx1JiRky9kJcBfz4YdtbZY3maBTpyhycixp4M9L/I93+zxDZmEDblg+w/GXd9AiZM+MGUVOMyFWTWnv/nqd7eOKrMcrPl6xe071TVrLiz1eBWBvXnOe2jaFyS9pnaZ/t3ceqF1O7X1Lbdr5iiZMKOHzz22zJMbFmRk1qpRx4wxe/R1xdp3GhZ7m6hbLGNXxS5vXw1q0pMFNt1iy4lUznUVF/vpNrOk6hr3rG8ofAEhWvepJnTB4VD5WCQlR6HTqfutUPUZq37493333XZXAqWHDhsyYMYPhw4dzzz338OCDD7peelHn+WJWd3CtS40/Br6qLZ+1256am3Z1N3iNVktU53Np+8EsDMePkfX1lxRs3sSZtWs4s3YNutg4DnQZyyNvdiUjo3wDNT2HB1jOibfeguuvr5oK3VqpnjDB4FZlzFlGPE+72nnjfHZ30Ls727YmVFi9Wsfq1To0Gsv+6d1b/TxWAM8/XzXL2+LF+rNBk0VKzAEAfs3o5fjLW0pL9V0Iy6ltAfr8c2uTtfsT90L1+9ha5lGjShk82Fh2/c2fb3ur1WJiXJfZDG31MwBzdl7PRztv5v331c33VPk88HYWR8dZA+21TFrOrfh4xe5ca6dPa3j11VA6dDB79TfEXguJXlNK78YbefK894gOKbRZvtFdI6jX4wK0YfbHmDn67QyEeY1qiivz1AlRV6lqcVqzZg333nsvKSkp3HnnnQwbNszm/bVr13L//fdjNBoxGo3S4lSHefJkzts3KFdanKzUPL32FrXlS0w028xB5GifuNVCUVTE6V9/qTJXyWubR7LoUH8M5jC/PG20XluffVbME0+E1milxVstge6ez9YWDUvFxb0WK19X9ipe50bjVl588Vq++WYB7dp1rPZ7TO3xCpckreO5jQ+z/OjFKrfmuLKutpXYF63PruzjituvF3KGuf0fpn54LgAPr3mGv7K6ArbnlNrzYP36Ai64QP35otFo2bo1ij17iqlf31zlN9rZdisfD+vvQ1ycUtay6KwM3mIN8FJi9jOi/ddc1Nh2gtqc1lfQ7b7LCUms73Q99o7l0KGlvP9+aJUuljX1m+ivOkYg9DoIRlInDB6etDipCpwANm7cyEcffcR5553HfffdV+X9bdu28dRTT7Fjxw4JnOoob1TWvPmD7UqXGitvdYtTw3n5Kl6a1d+0bZ8Qu36DN5aaGTlgFxNSXkZXYVD3T4cu5aMdN5NdklCjXRkrXlslJWaH54QvbvDe7DrqTvm8FbhZt20dHxMfb6nYJiaWj1XwxrEsKDjDli0b6dIllaio8nFL9r7HqquvA+D2X99g/5nmKrdgySTnSdeh+fP1jB6tZlJSy7bUrlft8bWeU5EFB5lzyaNlr1+/7AOOFTUEFOLiLIkfrC19as+DF14o5umnnc8ttGBBITk5Gqe/0a4+cEpONnPbbaW88orz1O/e/H015uVx+vdfOfnDApvX/zvVlq9O3M7tE1uRNkRd1lV7v52Ofn/LXqkQuG7Y4JsgQ+oYwUWOV/DweVc9gNTUVFJTUx2+36lTJxYsWMDhw4fVrlLUIt7qKmIdhG6tjFgn3nTnRlR9lxpb/hj4qqbLz9nS2XzO3jw3ns4btG59CD9t78FP27+lefQRHur8CRc2/Jermq/gquYryCxswOS/H2btmmb0uahmbwiOutZ50qJTXWXXm11HnXULtMdbWfl0OsjJ0TBliv1xKomJZl5+uYSrry5PiuFOEBobG8uQIUOqVBYql09L+X44lN/E+YrPmjDBcHbcjPtdh9R250tMVHj11ZKyrovO9oXa46vTwVujlpP094cA/JvdkfFrn8ZgDsPagpObq+G66yLLzmGDymmaDhxQd7NfvFjPrFkhTn+j1Z5/I0ZYumb27Gnihx/UJ4/whGI0kr/pH45/MhtzcbHNe3kXjeRwVE8aJocyr6cJnc75cal+Tq7qy2rt3t21a5SqHgFCiNrBuzmYgWbN1E1IKmoPb0746e0uRtWNybDydppcVzgqX2KiYnMzrqzimCzArYkLK1aUd+0q//yh/KY8svZpovQFXN96ESM7fEVSZBYfXPQUzIFc813E9OqNNqTqeAZXuVtZdzdQV3t++bOvv7ey8jkep2Jx8qSWe+8NZ+xYA6mpZrevu+zsbL7++nPq1buS/Pz6ZcexcvmaRJXPaWZSnB9k68OMceMsY9k8aVl0ljEMFOrXV/j33wKWLtWf7armWlIOa/kaNFBQFMjOtpT1wh4lnJgzi6S/1wEw9/BtfPjPtTiqmFvP4cceUxc5tWyp7kHGd9/pVf1Gqz3/0tKMZb8nnp6z1f0OKIpiyYq3YD6FWzbZfC7u8iuIHzCwLLFNd8vaVJUFnE/6qkbl9PLujisTQgQH1V31ahPpqudd3hwT4kl3s+pY+/V//bWB//s/fcA9IaxcccjM1DBmjPOuRTNmFPH33zpmznQexFQcv+VKxiwtJno33shLF7xs83ps334kXn0N+rh4p+uwp7og5tprzQ6vLXfHALlzfvmyr7+jdXujq6DzcSpWlX/+Xb/uPvpoJ+++ew1ZWUsoLbVMDZCcbC5LwW39Hv2T/uSFHq/z5/FuTFj3FKAQFaVQUGDdpm/HkKjJGAa4fI5Udy3FhZ5m/sD7CNVaslg2m/gkoa3bsXq1jnvvDT+brtv+MW7c2LLNY8eqPw+sY5yqO18SExWys51f6wsWFNKzp8nl88+Tc9bR78C0SSe4IHQZJ3/83mb50gYpHG5zK/U6pNCzl9mj61F9F07XeGtMl9Qxgoscr+BRI131hHDEG12LvNlqZY9OB/36QdeupTz7bAlr1+oo3LSRRO0xWrTWogvRcfoPPeh0aPR6NHodmpAQorp0VZ2y1hOVu/ysXq3uSzZooPDdd+ouY+vT3uozZkHl/W9Gx+rjPbjxr/9jzcJdZH/9OUU7tnP6j984/cdvhDRqRON7RhLeuo3qfeWsxUinK+GOO+x/1tlTYnstbGrOr6eeCiM2ViEryzaQqdxKpzbDobPvX10Lj6ddBdU/Sbeuu2oCBjXXXXq6nmefDaVBpWlwMjM1jBwZzpgxBt5/PxSNRqFt7H4ANmZ1Kfse77xjmSy1csteQoLCddcZq52zyFWOWhEbN1a4/fZSiovh6add+w2qrlWvY9xuZvV9vOzvvVe8Q7u2ljFgOp3zOaoyMzVMmFDCq6+GVnsehIY671p63XWlfPih8zFIx49r3Oqq6m731sr7T68p5aLGf/HUee8QsaSEkxWWzTj/Ph56/2Iys8oDHU8fevlqMld/ZGkVQtQMCZyEx7zRtcidyrC7rJXh/T/No/TECU7+5XjZpPvHUi+1h0fbc4fayQgVhWq79FlZs2c579Ov4Chr1pQpJUQ0a0KzRydiKiggZ9kSTqUvpPT4cQ5PmwKcTfl7YU+0ISE4oiaIefLJUIYPt/95dwJ1NedXZqZljIlV5UqZt7qRqu1mOHt2MU89ZWmxsWrcWGHqVOfbc30sif3lq7vurMfR0ec0GoUFC0KYNauYZ54J45KktQDsyWtZpcvj4MGWiV6XLNHx7bchnDypZebMUGbODPVai7DJBPHxCpMmlZRNJnvggJa5c0NUJTaovC+qO4+HtVzM+HM/AmBlZg+e2TieBn/pGTjM0gKh9vi0bm1W1WXUWdfS+HiFDz90vj3rb7Q7XVVd/Uz5/lNoF3uAkR3m0auR7QS1C48N4YFP+vHS+0m893wolfdzRoZn3eLUdOEEqiQncZTpsTJPx3QJIQKPy4HThg0b6NSpE1FRUVXey8vLY+XKlVx11VVeKZwIDt6YcdxbA+Jd0fSRCWT939fk/7UBtFowV21aN+bkYiosQBdZ9Xz3JbVPcLOz1e2P664rLcvUVX1LRNX12av46KKiqH/tdSRePZT8f/4m84N3ATg+ZzbH58wmtv9lJKYNQR8bV2V9aoKYo0c1rFwJnTtXbeFxJ1B357ypGMgAqoIdZ137XGlZ9YS3n6Tb23/W4xgSUn3QlZho6bK0974MAJ5+pyEX9iuo0mKRk6Nh5sxQp/vYHfaC3vh4s80cU2pZ94W98zhEW8qLPV4uCwBe3XQfPxwcCEBGBmVBlyvncJ8+JgYONPLJJyEcOKClZUszd99dSmil3rnW+bgcdf909Te6uvU54spn1q04w6B6P3HP1f9n8/rmkx14f9vtbM1pD2gwfVLCe+856oqsQVHc742g5nd2zBgDCxbYJiepX19R9dvrqxYtYZ+kURc1weXA6Y477uDrr7/m3HPPrfLetm3beOKJJyRwqmO8kYXMWwPiXRGSWJ/k0WMp2r2bE/PmUnL4UJVlsr76gqyvvgCgXq/exPa+iPCUFK8kRnBGzRNctV36Bg2yVIjUBhDjxpXQvr3ZaYrltWtDOH68J43uvpDzmx0g+4tPKd67h9O//sLpX38hNLkJje8eQXir1mWfU1uGd9+FP/+MIDPTtoVn8uQSp0+JrV28rN283DlvKgYyioLTYMdshmeeqb5FSm3L6uuvh/Laa1XPsWPH1AURzp+ku6by/jOZYOVKy0lhNtejuPhyzOZ69j5qOd4l5ZOR9r6s6kMIgwEee8w3XXUdtfCVB02u7R/rvqh8HjcIP8mCgaPK/h7x+8vsPJ1is4z1M648bLIX9H3wQajdVhxHWf7c/Y12JytkdZ8xl5ZSsOkfjs3+iPqlBu5pX/7eC38/yK8Zvc5mGiw3Y0YI1R8jz3ojqPmdnTTJNjlJjx4mp+PKajpLa11XlyYqFv6lKjnExIkTyczMBGD9+vV06tSJ6OjoKssdOHAAvV7PihUrvF9SL5LkEL7hyQ+XN+fOscfZsVLMZvLW/En2t19jOnMGdDqSRt7HmQ3ryd9ovy9f/KArqde9B2HNW6DRepaZqTrVPUVTMxdUcnL5fquJyV0H98vl1M+LyVn8k81nGo8YSb0eF/LnujAX5omx323QOnYGqu9CU1amwUaX5/RyXdUxYpWTCqgdjF5d+nxXJmi1Pz+N83JXfK/i+WNdr9rEIgDffVdI98bbOfzyi+hiYmgz/e0q5XzssTBVXU5dnQdIfZIM5yrv94rX0nmJ//Fun2cAKCiN4KZf3iPXEFtt+X2VrKI6/qhcKopCycGDZC/4lsL/ttq8N2/P1fzfvjSyihM93o67k5dXnu9M7Txnao6fp/tU6hjq+DKxlCsC4XhJq5s6Pp8Ad8WKFXzyySeA4656Op2OmJgYhg8fzoUXXujG16g5Ejj5jicXrS9vRGqPlbm4mNwVywlJSqbe+d3KXjfl51O4fRs5y3+meO/eKp/ThoeTMOQaorueR0ijxl5NKOFsn7qy37wRoKq9SSkmE/l/byTzw/dtPh972UBueP1Gdh6OcyuIsZbRmrXNtgJvP9CqWAmFysGWt9gf91Bxn65d69rkotVRE0Q4D3KqD5oAPvqouGyuJ/vHvhStNg+zOQaoOrYtKcnMuyPSabT5U+IGXE7Dmy2D10wmeOONUF55xdqy5vyYuFo5dnUyV0ccXUsdO0aSVv8HRneytEovOtSPlzeNsZNuvWoACk4eQJwN9l3NHun8u1gyjO7ZU1w29tEXFSvj6Vxyf/2FU+kLbV4PT2nHIwvv5Pfd7YDqKirK2Umb1VVmxo8v4eKLTS7fczwJJH0diEodwzl3s6z6gr+Pl7S6qefzwKmi22+/neeee442bdq4VdhAIIFT4PLVhW/vWHkS5JWezKZg6xZO/ZSO8dTJKu+HJiUTP2gwUed0QR8X53a51e4PV/abOwFqxaeyTz8ddnbuEvU3qeJDBzn+2RxKDuwve23X6Za8vGkMO3Pd+y2xpk7+808dI0Y4Tu0MCnFxCrNnF5OTo7ETbNUMNameqw9kbKkNIqzHbtEiHV9/HUpenmtBo7P9HBKyhQYNBtmkI69Io1F4ttsbDGiymsYjRhHTqzfp6fqziS9cOw6utjh5K920vWvJXFLC+kdeJaF4DwDPb3yYZUcvdrAGhY8/tv/gx9HvkLdahyvz5X3LXFpKwT9/c+zjWShG2+/aeMQoolO7s2ZDhMpgVmHCBIOqxB0Vqb1feKuVwpdP+KWO4ZyvrhN3+PN4BUqrW7Co0cCpNpDAKbB580ZkXVd2tpaUlHA6dy5AUcxeDdAURcGQcZT8f/62zDliJ8lEZMdziLv0MiLad0AXqe4JuKs/hK50OXE10HKlaxY4vkkZz+SRs3gROUuX2Lz+3MaH+TWjFyZF/bBLa+DgSquCdYxUYqLC8eMa6tdXePDB8LOZ6xwFFMrZrFo4WEZdhi1reR0FrmrXY/XooyVMmKBuklSrypMeT5/uvFI6apSB9HS9w+PvLHACWHX1dQA0ffoFVmxppbILYTl3nxq72+Jknfto8uQSu9eQIesEB56YUPb37b9OZ/+ZFnbXpdUqzJxZ3mqn1rff6lXP5eZKK5y371uKolByYD9Z87+laPs2m/fiB11J3GWXExIfX/aa2mB21CgDzz9f4qSrpfPusfYEUitFdYKhjuHvrmFqzyd3u3K6wl/HK1jO50BSo/M4FRcX88EHH/Drr79SVFSEuVIlUaPRsHz5cldXK0QZdwYk22M/OIhg6NBS3n/fe9m7NBoNYU2aEtakKYlpV6MYjRQf2M+Z9WvJXfELAIXb/6Nw+39ln4np3YeY3hcR3qaN3UQT7sxrZc1MNmWK84BIbfar6uapqY6jBBD6ejE0uPHm/2fvvKOjKNcw/pvdTSchFZLQO1JVBOlilyrNjg0BvYAFEbwWQFEsgOC1C4K9gyhEERtSIiiigkhv0kJID6m72Z37x2STLTO7M1uSAPOcw9HstG/ma299XhJHjub01i2cXCxxJD/R7UWe6PYiH+6/lo/2D6fAHOP1GUpJ+p5gry+0ZEkZ114rvX+3blbS0pTp0yXmLpCjancvIOu9vUrJ6LGxYqU3Rx3mzw+ltBRmzVKvPDnOrfR0IwsWeL9m0SJP38Y7BKr3iN8PNvZAh68EdQQzclBLNy0neM+dK29EKf57O8f/J304U3wCu3s+w6GVCSiNDV+UprQ0EzNmqPO01BZzW0V+ZSje186heBHt2pM46jrCW7SUDVlW21772mYntZBsvHJ9qJ1MpCbLX5zNkNtjExJsjBol7S81oUTVBrFUXYM+nmsWmj1OM2bMYNmyZfTo0YPk5GQMMknxzz77bMAaGAzoHqezH8qJ8Y7DvWYsM7byckr37aVgwzploomBg4nudlEV0YQv4QfePFTTpplp2dIzU54j/Ems1xIW8etXR8j6YClt6x+u+u2f3DbM2343+wtbuJ3vKUlfDQRByp0IC0NzqJiy4qT8fZTGlKul1mbDqY6UurY45yBpgZp8N0GwO1CV38+bxyk18iSfXTEJgOWtPmLhQm2hV4mJNkUlRg08haaKIm55NEqeV1EUyV7+OXnffgNA7OVXkHTDzQgGQ0A92GpJPXxdq/zZt2wWM0V//sHJJYulAVTdGJLHTaDehd28Mo76kmfpi9cb5NehF/94g335B53fq8JIWX4MJ7Z2Zsdnw7AUSzncNeGl8ISalDHe2/kp+/IP8lTvR1Sdr2ac1kR+TbCJpbSgtmTCuuR1O1NQox6n7777jilTpjBhwgTvJ+vQUQvwXuRVGcGwzBjCwojq1JmoTpJQaT19mpLdu8j7fg1lByWiibzVX1ex0BkiIqhoNoImUb04Wpzisc12b4s3DxWITrkCajY0b1YsOfhCw3vRkKZ0mzWPspwCbm3zBde1/IaO8ft4Z8BDAMz8/UHWZfTEKhplqZN79rRSr56NoiJ1bRVFgdxc6ZsEBp4Z60QRxoyxuB1x9ax6q7Wj9Nz//jeMwYP9q2EjpxBKFOz+k2i0jvkXgC1ZXRBaeznZCVK43F9/FbvVLNICb3TTajyv1tJSjsx5EsvJkwCkTr6feudf4PQMrTWP5OB57aqG2jIPgYAoipQdOkT2F59TunuX07H4QUOIvexyTLFxCle7wxdqdMfvu3q1qdIL6n1sKnmj44RGLHvs5qq/DSYrcS2P0PnGr4htcYy1Mx8ChLPaS+GKgc2v4FJrmapz1Y7TQNRg84ZAlEM506F73WoWmhUni8UiW8NJh466Al8EflcEs+K7MTqa6O49iO7eAwBLdlY10UReLrbSUlJ2f8THl38EwMHCJnx04Fq2nDqfnHJnAcW+EHp/Z+f3UbOhaf0Gvm5S1RtfLC/9M5ZX/7mNyxulM+PClwGYfZEUFvXe3pGsLR7CI0+GyngDNDXV3uIAXOPtHtLxuXPD+OCDEI/KqicBwBOysw1s3mykZ0+rZsF9yJAKJk408/rroU6peQYDXH55Bd9/7z1Mz2LpQEbGbkRR3lvWur5ECLKnvAtX9rGqCg+0K7Xz5pX7pTTZ4U2xcVVgHYsuX9j8KEdnPVp1vPmc5whtmOz2jECEGKtduxISRL+8cGpQkZ9H/k8/kvtNmtPvEe3PI3HkdYS3aOEze6ia2kmuMBolI8mkSeGqn6MkKCbEhBFe0tzJSJG9uw2m8HI6Xb+KhDaHCCtufk7VYUqKVE8Jr3ac+luDTS18GU9nE7TUhdPhPzQrTn379mX9+vX07NkzGO3RocNvBELp0WKZ8Tc5NiQxidgBlxE74DKJaOL4MQr/+IOcr77EIIi0jDnK4xe8UnX+b6e6suLw1ZwI6YB9Gmp9ZzUbmlbrlD+blPPGF8KaYwNYc2wA/dvs4b9dXyXGfJzb2n7BbXxB+D9tKT//VsIaNwGkb19cXPMseVqhRllVEgC8YfVqE5MmhWsOFUtLM8nm+4kifP+92u3BiCjKF78F6Jf8GwADrkuld29pg1cT/hkfLzJwYOAEHjWKjWtI2CUpm5jTfT4AoY2b0PS/j2EIDw9aQrzaeTx7dnCEQZvFTNEfWzn51iJna4TBQGG/ezgafhENUkNIbWbF34oLvnjp1BvFJPp3JUFREOSNFHkHmwIQmZjDoCe+4P3dMVhsFezM2U3L+s2594LxWKwW0g59x++Zf1FkLqJBZBLXNL+Mbg3Pr7q/1WZl1cE1bMn8k2JLMa1jW9K94QW8t+tTZvf6LwkR8by381Pyywvo3vACvvt3LblleTSMasC1rQbRMaG6MvDOU/v4bHsahwqOYraaiQ2L4eLkbgxscQUGwUBOaS4zNz3HXZ3GsDVzG7ty92AUjJyf1JnRbYcRZrTXuxNZe3QDG0/8Rm5ZLvXD6tOvUU8ub9IfQRBkQ/XST/zKT0c3kl2STXRoNL1SLmJgiyvIzJTWhtDo05x/++c07LSHkMgSTp9IZu/Xl/Pvhmr5sKbyawLl9T0ToXvdahaaFadBgwYxa9YscnNz6dq1KxER7nGVw4cPD0TbdOjwCf64o7VaZgJNny4IAmGNm5DUuAm/GkYxYZyJDrH7ubzRRka1kJjoejTYRo8G2wA4cDfE9OlH4+i+hBi6YrGpT+T3tqGpSaxPSBB56il55jElKAmdjhtfNQtiY0RxDhX5+eSkraTg558o27eXf5+YAUDKfyaTebKH6neuTai1vtq/wy+/GLn99nBVIYhyBA7eFDU1BCSCIHrNcTIaD1K//uMUFDyN1drS7Xib+lKoXnn9JlUb/Nix3rwGUjhlTSYzO+ZsGLDyYJfFDG/+PQBv77mOPtcOo3m4Nai1UtSuXSkpgQu5kULxDpK9/HNK9+x2OhY/aAhbrFfzyJxkTnwZ+PfV6qXTYiDyJijajRQSLb503+iUTAAevLs+WQkiW09to0fDC7m7yx2IiIiiyKK/3+NgwWEGt7iS5KiGbMvawdJ/PqLCZuXilG4AfLRnOb9n/sXgFlfSuF4qv2f+xUd7lru14cjpYxSUFzK45VVEmMJJO7iGxX+/xzN9HiMyJJKjp0/w7OYX6dawK3d1vAURkS2Zf/LN4R9oGNWAixyUtY93L6dXSncmdL6dfwuPsurgGuqFRnFtq4EArDjwNWuPbuTyJv1pH9+GfwuP8uX+b7DarFzd/DK3tq05/BOrDq7hksa96dR6KMeKTvD1oe/IKy+gRcMbAbh48tuExZxm61s3YSmJoFn/X+kx6V1KcuLI2tnO6X7BjOKwI1DEUmciznWvW01Cs+L0wAMPAPDll1/y5Zdfuh0XBEFXnHQooiaoS9UyaUkU075bZpQY5wIV1z1kSAWL3oLHH2/Hwr/PY+Hf4wk3lnFZm3+495LviM6QiCYK0zcQywbWDpGue3/fCH4+0Yt9Bc2x4f1FlDY0NVasefO0LcjehE77xmcyicTFQV4eVFSAKTaWhmNuI+mGmzj962Yy31kCQMbrr9AJGNvuOj4/OITTlnpeWqCN8jvQUGt9NRqhXz8rL75YzrhxdiVDfiwbDPIEDt4UNTVMTGpCIA2GYsLD13H6dHElX0A1YUaEsbTqvDsmJbMkXOrnCRMsLFrkPQavJoQte2jegw9KSmR0SBEfXno/8eEFADzwy0y25nRh9QwRm1jO+PHBm/M1GXJjycsle813VWQXdkSc14GkkaMJa96Cr78OCeoapxVqFcvp080e2yUiYrVZsSGAwUpYTBFJ5+3jvBGrKTzUgpiGjckCTIKRG9uPJMQgiUq7cveyM3cPYzveXOVh6pDQjnKrha8OfMNFDc8ntyyfXzO2MqL1YC5v2r/qnELzaXbl7nVqR2lFGQ9fdH9VmFyoIZQX/3yDPXkHuKBBZ46fzqBL8nnc2ekmbJVd3j6+DX9n72Rf3gEnxaljwnmMbDOk6pzdufvYkb2La1sNpMRSytqjG7mkcW+Gtx5UdU6h+TT78w9xtcv3Ka0oZfXhH+nT6GKua3stAOcltCUqJJIPdy9jwEX9SE1tRdJ5+9j5xSBO/C61I2tXG8yno7BVuIuWen5N8HEue91qEpoVpx9//DEY7dBxDqCmqlqrEfgnTjSzYkWIz5YZX+jCfYH8QtgWo7EtINVFKtm1k7zvv6P8kMQUdWubFdzaZgUAheYo3tl7Hb9kduOYAtGEpw0tkFasQCiahpAQ6vftR0yfvpQdPMDJJYuwnDrF2HafM7bd5/ye1ZkX/76Lw0VNZK9PTRUpLZVov5UEU/BUs0kO2pUxtQrBsGEVTJpk5tVX5ZQMqa02m/K97IravHmh9OtnddpEg6OUOLMMtow5CkChuR4gVM2JgQMrVClOwRa2XNek1jGHeWfA1Krjo75/nczSBgCcOCHw8MPBnfOBCrlRMlDZzGYKfvuDnYvecL7AZCJl7HiiLrigihUvWGucP8YzNUaxlBSRKVM8U/Tvzz/EfT8/ApHQ94XKK20CmX+354+3bua77AgmfCCQHNugSmkC2JO7HwGBjgnnYbVVK69dkjqwJfMPThRncrjgKCIimVsvIP2oser9Lmp4vpviVC8kyim3KC68PgBmq9T+nqndGNixP6ey8zlRdIpTJdkcKzqBVbRRYXNWnlvWb+r0d2x4fXLK8gA4VHgEm2jj/CRn1ku7UuSKgwVHsNgsdEns4PSenRM7ALC3YB9PP92Yt3e2pePoNGKbH+Pktg6c/LMT2z8c5XQvPb+mZnEue91qCpoVp0aNGjn9XV5eTmhoqM9JojrODQTbO+MKJYE/NVUKLRsypILHHzf7vIHXZN0ETwuhKTqGmB49iekhxZR/+2keP771D9c2+IIGEbnEhBZzX6d3uK/TOwAcKGzKx/uv5besruSZY1VtaIGwYgVaCBMEgYhWrWnxzFwseXn89cpX1P/3Zy5K+psPLnsAgId//S+/ZF6IiIG77zZzzTWS4rB6tUlRMNWmMPkOLQrBrFlmLrjAxsMPh5GT4zjm1LdzwYIwFixwNlQERylxblPrmMMA/Hi8j9Oc8MezEiivteuaNLDJTzx2wasA/JHdkYc2P4bZ5kyd7vz9nRGoOe+vscLdQCVySZs9PNb3PSJz9jidGz9kKLEDLscUG+t2n2CscXLGs5QUG7fealFVKkGNYjlnTrViKTdWABrXa8TXs28hK1safzZLCCXZ8VSUhVfd69AhA926Ofd/saUEEZGp62fItu/7DUUs/9FC88Hw4KQkbBUhVXOuRS/3PMBQo7PxQKicP7ZKA4TZauGN395n/eFfsYo2EsLjaFG/OUbBiOjCChoicy/7OcUWqfxKdEiUbLtdYT//tW1LZY8XlBcyYkgFlrRbeGf9z8R33kqTnn9Iyuf289j61s2UZCfo+TU6zkpoVpwADh48yEsvvcQvv/xCUVERn3/+OcuWLaNly5bceuutgW6jjjMcNeWdcYV8zkwpoijRh/ljmVFrra+JUCNHXHNDHFeO7svmzZew46RI9q4T7P/2T8a1/xSAVjFHeLySrQ6guEFnSv++jIh27THK5CvaYWe0sgshduE3mIqm1QobNxo4ccLgUaAKiYuj+4w7+Pqr2/jp5V+5u7lUVPf5i58DILv9KC6eeDnGSIn1zZNgOnSohTff1FZnaNo0M717W8nMFEhMFLn33nBOngxsqJW9TpPnsD3vOHGi2lAxcGCF5uKwWtEpXhLUd+ZX85BnZgo+e1YC5bV2XJOMgpUZF/6PKxr9AsAr/9zOJweG4ut7B2LOazFWOCoHBw8amDdPIvtIDM/huhbfcEubL6UTc6T/RHXsSKs7b8OSkIzVqqw8f/utusm9YYM6JdaT8UxLqQS1iqXSWBk6T8BkCmfvb+414uwQRYFyMxQWOvdlREg4YcZQ7r/gbrdrNm408fCkRiRfaKE5EFb/NKU58VXGwdnvlIC2pYVPd3/JH6e2M77rrbSp37qK6OHhDU9quk+kSVrbT1uKaejwe25ZHtmlObSq30L2/Ds63ESDyES3+8WESkrgiCEhDBt4JZs3X8PX67LZmrGL5gNXc+HYT9g4d5KeX6PjrIRmxWnXrl3ccsstJCQkMHToUD76SKJMNhqNPPPMM9SrV48RI0YEvKE6zlzUZlVrpZwZf1GX6yY4K4TJpJ0/lOsfH01mho0Ocfu5qtF6RrRYA0DUqb858crfVdfG9O1HTM/ehLdqjSGkmnBATgiJjbUxYYKFKVPMXhUorYrmqlVGHnsMjh2rVua8WaYHX2vgmiG92LypD6d376fZ369iLM4hcfdyDty3nMhOnWlw482EJqcoCqabNxt5801VTcUeFvTgg87vP2eO76FWSt4UqxVmzrRLXUpKjrraT6JYbahQpj9XH35otaaSnz8HqzXV7diVjTYAcKCwedVv9jmh1bMSSK+1fU2KC8tn+RV3E2qUrvvPxjn8ndve7XxBEImPFz16nFzfz194M+xYrbBwYSiLFoWQny+1K9RQzlWN1lVR+dtRbg1hzp/3sl+4iK1LKohOlAo/KtUyS0sz8eab6njgFyzwrvRoqa134oTA2LHhTJhgYeDACrp3t7Jli/Oc8KZYehore/YYVJNrmF0i/trEtuTHI+sBaBZTHQ6cfnwLaQd2geE2cva0wmY10KjHX+xffVmVcXDt3n9IcK8P7REH8g/RsUFbzm/Qqaqg6pHCYxRZit08Tp7QPKYpRsHIjuxdtI6tVpJ+PLKerZnbeKbv487n12+KSTBKrH/J1fXKjp4+wZf7v+aa5pdjE0UW/PEao9oMpU+fLvTpE4fV2pu5G/ZTv2s2U1eU6Pk1Os5KaFacnn/+eTp16sTSpZIL98MPPwTg8ccfp7y8nPfee09XnHQ4oa56Z/zBmVQ3wVnIaEbDhmNo1fMmBEsZpfv2kr/+Z4r//AOAwo0bKNy4oera+EFD+LPkYsZNbYfN5T3z8w3MnRvG4sUhvPCCZ6uiFkVTEnrCfLJMG43Qp68N+rYEXsCSm0POl19Q+Es6JTv+5vDjj4DBQOrk+4nq1Jk+fZyf4T2HQoJcWJAdvoZaefKmxMWJmup0eYZkqEhPNyq2NTZWygNTA5stgZKSO2SOiJgM0vg/fLqx7JxQ61kJtNc6M1OgQ+xeFvWvpl6+ds1bbnXSoLqvn3++nBkz7Axsnud8sElw0tJMTJ0aRl6eARDpGLeHiR3eo2uCMyve0j3X8eXhq8l1eK9Nm2wMHap8b/u39g53j6SSEquttp50v0WLQlm0KBSDQXTK43Oc93KKpfdi4JCVpW5sHzpkIC3NVPUuHRPa0zq2BW9uf4drml9BclQD/i08ysoD31Fa0hHz6WjMp6M5/HNvOt/4JQZjBQVHGtOo+1/Ed5QMVFu3mig6ZeJUvABeSFCb12/K1pPbWBfzCw3CkzhWlMG3h39EQKjKg1KDeqFRXNqkLz8eXY/JYKR1bEsOFx5l/fFNjGw9BIPg3Df1QqK4otkA0g59R5m1nDaxLSkoL2TVwTUIgkDj6BQiTBHEhdVn2d6vKKsoJykinn9PH+OkuIurWl1Kn5a1v/fp0BEMaFac/vrrLxYsWIDJZMJqdZ4YgwYNIi0tTeFKHecq6pJ3xrW4pa8CzZlWN0HWem0MJ6pzF6I6SwWtq4gmvltD+WGpaGnuN2k0I431Q6HAXI939lzHL6e6cbw4GbtQkpcnWYiXLlW2+KtVNLt3t9KjR5QCm5v2Ir4h8Qkkjx1PgzG3U5i+kVMfvgc2GydeWghA4sjR1L/08qowRbVFaL0pQVrzwpQs5HbrezBCXcaNC2fBgnLZttpsMGqUfEFbVwhCHuHhP1FWdhmiWC2gJ0dkVf2/RZQkRLk5oSZkNtBea/H371nU/10A1mX0YNbvD1Ihykux9r4GKCsDJaUJpPdbvTq4JDj2sZIUls2kDt9wU+uVTsc3Z57Pot23sLeghWxb160zMmiQ8v19UXLsUFJi/TGKORZmBvd576qkWq14HiuApQISEmzk5no2kFgqcHqWQTAwsetdpB1cw5p/f6LIXET9sPo0KbuEz1+qJlr48+3rqSgLo92QHwiJLCNzRzt2fjGQjqO/4c5bY7EUR9D9PyaSOwtOipkrrms3DKNJ4Kv931JhqyAhPJ5rml9ORnEmO7J3YhNtstfJYXirQUSH1mPD8c18f2QdCeHxXN92OP0aydfkHNryauqHRrPu+CZ++PdnIkIiaB/XhmGtriGiMpRvfOfbWXlgNWkH11BsKSY2PJaBLa7kqmYDVLdLh44zDYIoqiGcrcbFF1/MrFmzGDRoEFarlY4dO7J8+XI6duzI6tWreeKJJ/j111+D1d6AwGq1kZtb7Pd9TCYDcXFSyIPdja7DHVYrdOsW5VVo3rq1OGiKhslkYO3aKO6916Yo0PhiJa4ppsDagCUri+1f/U35z6tIDM9zO76/oBkfHbiW37O6kFseS2qq5z60C3wgTwO/ZEkZcXEiI0aoE9jt12oZO6IoUrp3Dxlvvo61sKDq96iu55N0/Y2ENkyuaqtrvyYk2Bg1SlIyAulBsM8PNUVhAwsRQUBW8bRaoUOHKPLylNpU7W0ICfmbpKRryMr6FoulOhapT8MtPH/xc2zLac+MXU8xf77vc+KLL0zcc49yDp4db7xRysiRFVXv4DqfBZuFbbNeIuqUZP1//q97WHXkStn3i40VWbKkjN69qwlFlMhD4uNtzJ8vKVdy5zmOcX/WBUtpOVOH/M3kFq84/V5aEcacP+8lPfMiVbXcGjeGOXPKGDjQ4nZM7bf2hhUrSqqU2PR0o6Z57Q32ef/EE+U88ogzaUpsrK0qdNET7r67vIrZ0Zt32dsaM39+aJU3PCSqmJTz/+Hktg6Yi6rLI3S5ZTnNB2xi5fj5TvcG5XFxpskYNVFupC7jTOuvcxmufRUfH4XRqM5gpNnj1KdPH1566SUuvPBCkpKSAInhqri4mKVLl9K7d2+tt9RxlqMueGdWrTJyxx3uG6TdellNT65eAbJaIS5O5PHHy8nJEUhIEDUVgq3rCElK4t/4q7jnu2sRsNEy5gj9k3/jrkqiidb1/2XmhS9Vnb8p8wL++GwAFw5vK0s0oSaE7YsvtC1JWj0NNpvAn9kdyez7KilRWTT791OKfttM8ba/KN72F0JoKKkT72Xw4E41Vg9DvYXff7IGZzjnOzm+2+rVpkqlyVM7XP/fGa3rHwZg86kLCAuDgQN9Vxi0eq3lFN9OzbJ4o+s92HnFxq6bx94C94K99ndasKCcfv2sXvJzpPPDwuCqqyocvKWBI8ERRZGy/fvJWvYpZQf2M9khj3/pnutZcfhq8spj1d8QOH4c7rgjjCVLRLf1LVCef0cvk9oQWLWwz/sJE8Jx/dZqQ0yvucbKxReXMW1aGDk53in9ldYYqxXefz8Ee16g1RzK+Xd8Rv7hxuxbfTkVZWEktDlA66t/ZvdXV7vdO1jkSDUNNUbEc12x0nF2QLPiNG3aNG644QauueYa2rdvjyAIPPfccxw6dAhRFFmwYEEw2qnjDEdtVrW2WuGRR0I9xLyLsnVyPIWCedokzqaNwC5EiRg4UNicA4XNeXvv9ZgECx3i9nNl4/WMaP4dAL0a/gk//smBylJvMf36S0QTLVtVEU14C2HzVWhTEwrk3mdNSU2dypwnCukd/RNZH3+IaDZz/EWpsEvidTfQ65JLMYSHK980AFAfxiSNVXXEDerJIk6cEFi4MJSHHjI7FYOtfqY74uJEbrzR4pFAoE9DqUDz/oIWZJwy+EX+oiWnUC7s8YKEHbzcdRYARZZIbvjxVQrMMQpPs39nCd4VW4GMDIG33w4JaDihJSeH/B++I+/7NU6//5J5IYt33cS+QvlQPDUQRakAuF1gh2qBNjFRJCXFpsgMqXZsOc5ltSGwgYFj/3keK0ajFH45caJ3D5vSPN282UhGRnW/2ywhrHv6fjrdsJLu97yLKdxMUWYi2z4cxYE1l7hdH0xypJqCGuIW4KyNztBxbkFzqB5AXl4e77zzDps3byY/P5/o6Gi6d+/OnXfeSYMGDYLRzoBCD9WrPdSGxcmfMBG5MA3nTSLw4Th1CWrDyCKMpXRN2Mmc678l7MgfsufEDx5KvW4XEda4CYJBXsD0FtapBMewIDmo6bPBgy2U7t7FiTdexVZcvT7Uu/AiEq+7ntCk4KxtgQ5j8g0ikya5e129XQMQErJDNlRv4zCpEOaI7xaRVZbgFEanFXYGublz7YqafB8OHFjhMl5FbmuznAnnfQzA10cuZe62/2AVvS06IqmpIr/9VswLL4SycKF3soS77jKzZIl3Jjq572BfF0+dMNOk+FdiNi5yPm4Mp6j/BEpTL2D0DUoKn3P71SpV06eX88EHzv0eF2cjL09AEOTDau3kIVpDr+3Gi/KcfJ7uPg9RFDDbQrBU/jPbQqiwmbDYTOwvbM7yQx6SsVTB+TvIrdFq55/SGhOo0Ea5cXEmyBje9ghBEImLE8nNtR87e/fMM6G/dEjwJ1TPJ8XpTIeuOJ1bCMTGZt801WwSwc7XqmkoKR2OcH3vikI70cS3lP972O18Y716xA+5lqjOXQhp0MCpgHZ1LpSgQBKh/Fw5+NJnlqwsspZ9RtHWLVXnGSIiSfnPJCLP6xDQgt++KIuDBln45hvvuSzq4fih1b6bJJQajfuJi5tCXt5CrFapXlOYsZwfB98MQN+VywDBq3LrCrsysXq1iWXLTOTmym9qjlZrRyE4zFjOy71n0iFuPwBPbH2AH473U/18kPLa1FCQAzz1VBkzZnj3Trp+h7RVRt5/7hA3NnyfjvH7nM799Pj1fLCjOhQvJcVGWRmKSosEqS+HDrWwapUaSnF374y9GHRcnFjJ3CfB/q0Br/mKnkKc//xoCzHrXnX63VbZDEPl7Q6fbsSYtS/hD1zzneQ8HN7nnyT479wpv8YEyvAhNz/OBBlD/fvLK/Nn0555JvSXDgk1muMEcPr0aTZv3kxJSQlyetfw4cN9ua0OHUFBIGL27WEatVmTqrZgD7OU6I89M4rZNz5TTAwxF/ck5mKJscmcdYqSv7eTk7YKa2EB1qIisj75kKxPpHIGoY2bEH/1QCI7dGTIkPq88045jz0WzrFjjk+Stx57C4/0pc9CkpJI/c8kbGVlFKxfR9ZnH2MrLeH4gnkAJN1wE/X7D8AQprGipQwcw5jUegouvtiqSnGaNauM//0vtDLvw9N9fVEEpWus1tZkZ69yOtIi+iggkRYIgiTwa6HmlwuFdYbU99Onm53qiNnnaWrkST67YlLV2beuXcih001drvf+zp5yX+ywC3533mnh9ddDVZcosOTk8Mei72l74FueOq/6vI0nL+Kt3Tewv9CezFR9Lyl8rvp+cs+JixN54QWJwl6d4uT8DKjOvQkPh+XLS8jKco8Q0BJ6bTObKT96hJJdO8n/+Sdi8vPdWmAQwCYKnDZH8v7+kaw4ZM8Hcu0r9d60JUvKMBjwGOFgn39jxyrPv7w8gdWr5dnvvOdviRgMUnhkXS9d4Qu0hRq742zcM3Wc3dCsOG3YsIH77ruP0tJS2eOCIOiKk446heqNzeDVg6GEpCTpwrOxJpUn2K3+ZjMsXlzG5s1G3norxMmKqyZPLTSpAaGXXUHsZVcg2myYjx/j9B9byV31FQDmY0c5uaQ6PKlrl678uWwQm4615ER2BAcPGnj//ZDKGjrqnwv+9ZkhPJy4q64m9sqrKNn5DydeexmxvJysTz8m69OPie5xMYkjRxOSmKTqGUqwK6ePPRbm9I6usAtZ552nzprZpYuNBQvsQmGg4F1wbRVzGIAfjvcFtJG/KOVLOEMKw3vrrRCmTKmuZ9OwoUjPBluZ3/MZADJKkrjz5xcoqohSuI83eH5PV+V9zBhLZTihvJI/54kCijZtIvOdJQDYyduLLJE889ckfjnZzYEW3f0723Myo6IkQorq8CcpvG78+OqC1FYrXgV66f7KAm1GhoDBgGyIpVK+okGwUX4ig9L9+yjcuIGygwc8fcCqhCtDRARZLYbx4PuDOHSsur8MBmdK8sREkexs73M6MdFG797qQsEHDqyo9K7J3dczgYMa8qP//MfMa6+FnhGlK7QiGGQiOnTUZWhWnF544QVatmzJI488QsOGDTEo5Cro0FFXYDTCs8+aueMOucRkddZLuxBXl2pSBRtKBBjz55eTkCD6nKcmGAyENWlKWJOmJF47ArGigtKDBzj96yYK1v0MQNH2bezZvo14IB7o3a8/93zSh21ZbcnMDtH03ED0mSAIRHXsRJtX38ScmUnW559S/NcfnP7tV07/9ivG6GhS7p5IRLv2Pofx2QVRb7k8Tz9d7iQwe0J6upFp08xMn252Kh7sO9y/kRwdecc4KeTsmNhGU/6CdwY7Rwjk5gr88ouRfv2siDYbbY5/yvyeqwH45MAQXv3ndkSqx68jjfU994Q7FVb1BY41nqRwULn9UOTSNjt5tOc7hKcdJNPhyOJdN/HVv1eSb64v+37yECguFigulkIJR4+2cM01Vrf54FmgR7URyZNAazRCjw7ZlIUfoOj33zjw9m+K54Y1b0H9Pv2IaNOG0NRGVOTkcOjx/2IICyN+4BBiL72M1uHh/HKfjc2bS6rWl+7drWzZYnT6u0cPT3mX0os995x6ZWTzZqNTSKLbHb14RdSQH3XrZqsVcqRgQ43HTSuZiA4ddRmac5w6d+7Ma6+9Rr9+2mLF6xL0HKdzD0p1nKQkaO/Kvz1xty7UpKoJ1CYBhq2slPL9+yhKX0/elt9lz4kfMox6F3bzSDRhR7D6zFZWSv7atWQv/8zp96Sbx1C/Tz+/wviUlNbZsyWldf16oyrCAsfrZsywe7N8VxYSEmw8/3w5M2eGVX1Pd8VJ5IfBtxBuLKfRIzOJaiVH+S0PX/JFHnywnKmTC9g34wlMpyW15OHf/ssvmRd5zL9ZudLEuHF2T5x2Y8oDD0h05WvWmFi0yO4lqr6uYcQpbmy1iutafuN0XdT5FxA3ZDidLutIUZF/ipua+Sg3lpo0gVtuMfPcc95D+Rxzb6ylpZQfPkTxjr/J/+lHRItZ9hpjdDT1B1xGVIeOhDVtpjgXrEVFCCaTZuZKz3mXEtHJrFnybZODL3XC5OCN/EgrOdKZImN4qtEnihAZKVJScvbnBZ8p/aWjhskhrr76ah544AEGDhzoU2PrAnTFqe4iWKx79r7Kzi5m40bBqcr86NHaGJXUFHKtSxZErd+0LhBgOM6tstx8Snb9Q96abyk/8q/bucboaOKHDCOqc1dCkpJkPT5PPhlaSTnvLmQpFYFVC9Fmo2TnDo6/8hJUVN8juldv4oaNYuveBj6NZ9d+y8kRmDnTNe/Hu5BvH5cTJ0rhQuCaa6G+PtQrr5TSqJHIt98aefPNUAQBTKZqVr2Kik6AyIah1wHQ+tU3NSmQvhC53D7kMOMNU6v+vuHHVygJbQggS2zg2M9KhY7VEELInRduLOPy1HQeueA1p98NUVEk3zGWqM5dEUymgDIpqiVIsY+l1FQYNCiCvLxiunaNUDQohBjM9Gj5L4tmbCPrh58xFWQotiGmb3/qXXgh4c1bYopRw/rnP5T67vnnyxk2TNtc9pdZL1g4k2QMuf4wGEQXr653lsMzGWdSf53rqFHF6YsvvmDp0qW88cYbNG7c2KcG1zZ0xaluQk0BPW9QUhKU+spXb0Qg2loT8KWddUGI8DS3zFmnKN6+jdyvV2EtLHS7NqxpU+KuuobIDp0wxcQE3DrtCeaTJzn16ceU/L2t6rdTpQk8ufV+tuV2IDXVt9Ac5XdQp/TYx/Hs2eVuyldqqo0ePSr48kvv3gdXZcFgEDEaqxWnpKSOPPfYCVquuR+ArDvf16Q0alUoLk35hae6S3W39hY0Z9LGpym1RlRZuqdPN9Oypc3j813XDHsomOfQIzuknKOu8Tu5t9M7tI896HTmm7tuZtW/V/D2pyFOcyVQFNaOcPIMeTCWOM6tL780VJGSpEZm0jFuL1c3XsfFDbYpPmdbQRcaXNqbXqNauDFi1jQCZWirq5EEZ5qM4ciEKeeFdVWc6uKe6Q/OtP46l1GjitOdd97Jjh07KCoqIj4+nnAXF7sgCPzwww9ablnj0BWnuodAhIZ5UhKGD7cp9pWvHqS6XgXd128aqLAVf6B2bok2G+XHjlL0x1Zy01bKnrM1vxuf7L6Kv3I6Ump1fS+pXk+gBaJvVpj5af7aqvpBdszfPp7VRy/l9cU2TcYAz7W01LOMrVhRQs+e1sqinQI5OQIJCSINGoiMHx9emRyvRlmo/l0K1RvIo49+yahR7Sn9ZxsnXlrI/uJW3PHj3Koz1QhJaqnZDViZ2mUR1zaX9polu2/g7b3X4TrOfRV209JMDoQacooqJEdkcYNMKN66jIt5e8/17C9sXvWb61zxl8JZDvZneDOWmEwG6hkqyPhjBwVbf6dww3rFex4pSuGrw9LcOVDYlAox5KzzEthRFyMJ6oqMoWWvU7NexcWJLF5cRp8+dWvP9Bd1pb90eEeN0pEnJyeTnJysuZE6zk0oLbiOvycliTz2mHxCuJ0WV4nRyA5vlcuNxnJuu03+WqXE3vh4keefVxb0jEZqNGxD6+allGRv/6bTp4dRVkYVFa79XrVNgCG9p4GiIqhXz0D37raqtrl/Awhv2ozwps1IHD6ymmhi8yYK1v8MQLfYrXTrubXq/l8dvpI1x/qzM68NFWJIwKlwrVZ49Mk4TpwYxfv7RtKr4R/MvfhZAB7qspiHuizmp8WXUt5zKGGJ8V7v541OXUvOUmamgNEo0Ss//XSYW76fBPdwmup55fosgYqKNhgMGxk+vD5GI2z74ThJwNqjFzmdaZ+LngRQT4QGdsSEnObDy+4jLkzyNt7/yyy2ZndxOy8YNMcRxjIub5TOf89/3en3/PJonts2kU2ZF2IV3bdV17liT6j3RnCgzPTmjoYNRdl1MMxYTmL5ATY+v52Wq9dgKnf30gKIxhByml6JqW0XulzVlJ6XJMm2T+2afKZBDcHDuQitUQtq1qu8PGkdOlvGjo5zC3oBXD+gWxc8Q2nBHTHCwooVIV4WV3cohYapyclJTRX5918DhYXKfbVypYmHHw5zCkWqK6EEWjcvrSFPjveqzbAVT+8JKB6To0U2GuHLzyy889RBrm32HX2St7o9D2Dpnuvof9f5DLwtxSvRhBoofftm9Y5xf6cl9Giwveq3kMQkksdNILxVa8WQp0CGda1YUUJenuAx7C86Gk6frv49MdFGdrb377JyZSndu1ew6ubn6RC9i4d//S/pmd2dzlE7dpTqOLWOOcQ7Ax6q+nvU92+QWeqZCl6rZ9R1PRGw0TVhF/d1fJu2sYec773zFlYduYICs3xej6f3VRNC+vjjZtLTjYwbF65Yi8v+jN9+K+biHuGEnj5Bl/jdDGn6I+fFKVOBx/ToQVS3HoS3bEVIXJzTMa3hunXd+64FdeldalvG8CVqoS5ELNQWaru/dKhHjYbq2bF+/Xp+++03CgsLiYuL46KLLjpjmPZ0xSn48J6T4fq7dygttGo3+bVroWtX+b6qTRY5b1DTNlfFISNDYOJE9cK263vWRtiKp/d0XqXcj0mWeXeFKi5OdBobcWH5XJS4nZtaf0Xb+ofd2mCMiakkmuhCaFIDn97Dm+BQz1TMdS2/5q72nzr93vC2O4nu1RtDiHNhW7XjW8o/UvZgpKZKwrVnKmcJ8fE2Ro+W6NG9jSWj8QjR0fN49NH7aNOmEUlv3wrA6O9f52Sp/DdUkx9ntcIvvxhJTzdis0EH6890+Feq9RXe7jyO9niIEdfFeryH2mc5wv69UyIzubHVSka1+Nbp+M8nLubtvddzwCEUTw6+Mt4lJtp47jlnggP5+SjSMCKbDnH7mD5sPdEntii2ZUduW74+chl/57bnpQ/iGXqt531Li/AbGqps0Khtg9OZjtqUMXwlCaoLObK1BV0mPHNQo4qT2Wxm4sSJbNy4EaPRSFxcHHl5edhsNnr27Mmbb75JaKjaauW1A11xCi4CmZPhCKWFVu0m/9FHcM011X1ltyxmZAjMmBGmKHTWJl2qms0rLk4qhpmRoZ0ZzPVeju9ZkwQY6sYMqo/ZhdbFi8ucqLNdr2sUdZJr2mzlrg7LsBWddrtzWNNmxF19DZHndVTNFqZacFheRNd6Wznx6ktOv9e/ZAAJQ6/FFCt5AdR6AK+91sLrr7vXf7J/n0mTzFxxhVV1bo2dbdBV+XSFnY780Ue/JERoS8c1YwHou3IZSvNcjbXZPv4yM2zMvPB/XN7oFwBOdbqZPvdfic0mBNwzaisrY90bv9Fox1Kn33PL6/P8X/9h86kLZEPx5KB2rqj1cHzzRTkfLzxGG9OfjG6xGpNBXujMLotjxeGr2ZrVmb0FLTDbnFkNFy8uY9y4cFmiHHs7srIEZszwThE+fXo58+aF1kmD09mA2pQxfFWA6irRRk1AlwnPHNRojtPLL7/M1q1bmTt3LoMHD8ZoNFJRUUFaWhpPPvkkr7/+Ovfff7/ml9Bx9iCQORlQvdD27CkvKKjNtUlJqf5/pVAgOQQjV0ItvH1LURQqi6E6fwNJCVRPM22/l+N72guyqhHq/A1v8W/MuB+z52HMnBnG7NnljB8vXwT0REkyfe67nNZDLnEgmvid3LRVAJQf+ZeTi9+suiaq6/nUv2QAkW3bK9ae8VYQsmo89xYxGi+k7VvvUH78OKc+ep/SPbspWPczBet+JiQ5heSx44ho2cpDIVOpj+1sefLfQxoLK1aE0LGj2s1cQBSlPJbffitWUeASunQRKdh7HIAKm1GmHdXwNmftHpa40Dx+HHxPlZLwn41Ps2NVe5a0lgRyb9/l6ae9F0EVbTZK9+7h1CcfYT52lEYOx17fOYZV/15BoSXa802o9n7efbdZtiCtEuRyJW0WC+ZjRynZu4eCn9diyTpFa2BGO/fr618ygHrnX8i2U60ZflNDr8+T+/Zy62G1p1d5DL//fohfuak66i48FT72dJ7nwsvq56UOHXUVmhWntLQ0Jk+ezLBhw6pvYjIxfPhwcnJy+Pjjj3XFqY6gtmK11S64aqBmoVUjqKamivTrZ6CwUJlIwhsC+V6Bf6a8sOzvMx2FOqXxFAjPVDC+rV0RTEgQVSV9CwaDA9HEqCqiicJN6VXMY8Xb/qJ4219V96h/yaVEX9yTiJatEEzScuqZ4EASRl3Hc1ijRjSZ9l+sRUXk/bCG3LRVWE5mcPSZpwDod+ddLFncj8dnRsm+Q1yc6FXxPHFCqFSo1UK6ZssWo1dBCMBggLIjRwH4/nhfhXtKc1HJCALVxCYdYvfyZr9Hq36/ds1b5JTHOQnknhL6Z8+WvssXX5hk1z9z1inyvl1Nwbq1Ts+P6tade967gd8ONvfI7OcKX0kERJsNy6lTlB7YT+GmdEp371I8N7JTF2J69ZLykhKra5ZZrVCRZyQ21uY1F6pXL3lWUdf1UHl9lMbwmDEW5s5VrtFVmwYnHf7DH5IgnWhDx9kMzYpTbm4uHTp0kD3WoUMHMjMz/W6UDt9hF26//dbIsmUhtUJ0EEi2NTULrRoL1zPPmDEawz2yzXlDsFjkPCEpyZ9n+qaMqLVI24k+Xnst1E3IUsOg5u2ZgUJmpsDIkeq9Z3YIJhORbdsR2bYdybePxVpaSunePRT8/BPFf0sEDwXr1joJ3vFDryX6wm4MHtSYJUtg6tQwF1Y0wYG9zh3GevVIHD6KhGEjKPpzKxmvvyq9w9tLaMsSVk+9nNUFo9h3PI4mTWx06GAjN1dg/Xp1FpGEBLFSuFYfxmn/fkqC0ODBFr7+GrZuFcj+7jApDWBHbnuZO1V7xzx9982bDPQJ+4b7L3obkHKKntg6hQpRyv1S4xmVKxacmmpjzqx8+sRv5NT77zo901i/Pg1vu5OoTp0RjEbubmLit7vsbfY0j7RTK1cUFFB26CBFf2yl8JeNiueFpjaifv9LiGjbjrDURlWKuSvkvefyhUZdFXbP66Hye8fFiTRvrs57WRsGJx3+Q7XnXMEIoiViQYeOMwmaFaemTZuydetWevXq5XZsy5YtpDjGQ+moUXgLP9MqzPoKbwuukjBiX4hfeqmM7GxtC603C9fQodImv2mTQTObn7cNIpioSc5Lpff0RPX+6qtyOTXaQ3W8jxnfYVfK/KWPN0ZEUK/r+dTrej4AFQX5lOzcSe6a1ZiPSZ6W3FVfkbvqKwBahsVyaewoNpVfSEZJdQmH/Hzv81AwGIju1p3ot96h/OhRMj94l7ID+zm97kf68iPJBc14dtlE9hS01vQOKSkiEyZ49hS4IjFRJD3diNkML71UhiBAVpbAwYMG3n8/hCVLGhMV9SBTpjQl7apXANhf2EzurQBJeVOCzWImYtVL3N95BwDP/vUfvj5yhey5Sp7RtDQT48dXj1cBGxck/sMDbZfQ8uujnHK4x6v/3MrXRy6nXlIUT19azpCuUn8orSdOb1OpjLzwQjn9+8uPK1tZGWVH/qV4xw5yfvwJQ7l8bq0QFkbspZcT1akz4c2bYwhXR+yi1nvubICqXv+8h8jKtpa8PPXey9owOEHdYsc7ExGIkLuaLtmhQ0dNQLPidOONN/Lcc88RHh7O4MGDSUxMJDs7m7S0NBYvXszkyZOD0U4dXqBmA62puHNvoUrV/5VfiJWEEG/wbOGShAOt1s/ajsnOzq4Za60vFmlvCo6WUB019Xs8PMmtbRB8hddUP5aYXr2J6dUbURSxnDpF8d/byU37CmtREabyfB7svAQ6LwFgV14rPj04lN+zulBgiVE9D8OaNGF75yeY8qqFm1p9xZg2X9K6/r8sueRhAGb/cR8/Hu+DVbTfyPO36NnTyuLFIR6K3doheVPuvTfciXjE3dPYkNOnpwIiMaFFABwsbKp4V6U5aMnN4dD0qdSr/HvsunnsLWipeB85gdxxvKZGZnJL6y+5tvn3Tuf8cLw37+69jkOnq9tYeEJ0U2Yd1xM5D76rN7zCbOX3NRmU7dtH0smfCcn91+m5jurJhpy+tBx4Ef2ub1ZFAqIV3r1FIrGxUphq797ySoM/3qCEBNEvj0QwUZPENmcz9JA7HTrcoZlVz2azMWPGDJYvX+5Ud0QURUaMGMEzzzyjWI+kruBsY9XzzkjmjpqgAtVSxynYm5q9r1atKmXYMPU03bW92Wqtx6QezsqG0nsG4vla6nVoIe2ohsQAp5Y23dUS3b27lc2bJdprQZAspEqCplqkbxSYfscpBqRu5va2y2XPWZ/Rna639qfb8DaKRBP29jrOb6Ng5ZKUzcy+aIHTeZ8cGMIH+0aQb66PN4YzzzWEwD0/TrmkgCCcJjR0K1FCK1Ze9QAAfVfKvzPIrz0lu3dxbP7zABgio7gj/WX2HYvRzMr1y89m3p72O9O6LnL6/VRpPPO23cNvWec7KJiukPKvlNi+nMZNAxvd2p7CcvgAhb9tpvivPxXfd1tOe745cil/57XnaFEqIoaAsM75ynrmuG+tWyf4PL8da4JBzZUt8Ia6XFpCK+qSjKF777yjrvSXDu+olTpO+/fvZ8uWLRQUFFC/fn169OhBq1atfLlVjeNsU5x8EW5rqvic0oJb0wuxva+ys4vp2jXCYxhhQoLIU0+VV1lLa3OD8Ebtqg7u3j1RhOnTzbRsafP4/QNRfFVOUPbU/1YrbNli4ocfInjpJc805KmpYhWjnBpFXJk9zPn+cXE2XnjBd4XZ9buFGCx0jNvL1Y3XMbTZj7LX1B9wGTEX9yS8RUunfBZP87tNzEGmd33DqdDp7vyWPP/Xf9hXKHlrtHwLO1JSbJSVocIrVU1H3sDyIq/0+oT9Bc24Y90Ct/PkFB5RFMlNW0nOVysAiOnbj4a33cnX34SqFshFm42S3bvI+vgDzBkZTs985Z/b+frIpZxWwYpnh+x4LS6m7PAhirf9Sf5P8v0HcLIkkS8PX80f2Z3YX9gMs00+lFXpe2iBr4VGHfet8nKbD+uLs4IpN44SEmw8/7xzLaqagK+1h+oq6oqMoUMd9P46c1CjdOR2pKSk0LRpUwoKCoiPj6dRo0beL9IRFPgSblFTcedKMc61FfusJm573ry6E4KgLuxRqf+lUKvwcCkfyQ4tYRb+jBNPOVOuglZKio1bb7VUKXI9etgYO7bqTjJ3ryYaGDasgsGDvScha2EPy8sTGDs2nKVLfbNOu343iy2Ev3I68ldOR57fNpFIUwkXJPzD7JHfEHa8kmji558o+PmnqmsShg2n3gXdyDwply8kYV9hS8ZvmEtsaAFj2qzgxlaraB97kLcHTAOg8JKJnH9DN0yh7lKiYyhaRoaUs5KQIPWZzQajRmkzxjSJlpSWDSe7ux2TCwW1lZdzdO6zlP97GICUCf8husfFVW3zFiJkzswk99uvqxgP7fj+WF/e3Tuaw0VNNLXfjlMnLJQePETp7l3k/7yWitwcxXNjBlzOw4t6svFAa05b1NX5ssNf1jm1c9Oeo2afG337ilitsHGjlO8pseOFqgyRdSf4GDKkApsNHn44rCqUMSfHwMyZYRgMBHQt9WZwU1O+QWf606FDhz/QrDiJosiCBQt49913sVgsiKKIIAiEh4czadIkxo0bF4x26vAALcJtbcad1xX4E7ddGyELyonq3oQcgfHjzUyZYva5zeqIPtzbo5Qz5YlowpGwwGCQhHfld5R+37tXEpK8KeLa2cOkHBFf8wG9fbdSawSHjN3oMLM9RqOdaOIfcr9djfn4MQByVn5Jzsov6QSsuDKO9/aNZlPmhZwsbeB2v3xzfV755w5e3zmGy1I3MavbiwDErHuNg+sg7ppBxF89EGO0s+dF6bt98YV2m1rH2H0A7Cts4XYsJUVkzBgLZrPkQevWKoMjj0+vOt5s9hzCUp2Nb3I5iz26FlG85Rf2jnvf6VxTXDwNbr2d8PadWNwjhoxidcYkARtN6p2gU9xeBjX9ifMTdsEaOLrG/dyorucTc3Evwlu2xJSQiCAIpKcbWb3bv1BWX/OMvNdqk89Ri4uzYTBATk6E02+ACwOkHNwJPlzJOOwINBmRmrwlX2sP6dChQ4daaN4dX3/9dZYsWcKYMWO46qqrSEhIICcnh2+//ZaFCxcSExPD9ddfH4y26lCAWkay2iY6qEvwhSq1JhKOlRQz1/bu3WtgwQLvzGgtW9o0effknu/NQzdxorkyZ636WP36EnvbwIEVTvdWq7zYVEY5LF4cwpQpZq/j2Vf2MF+t01oZqSSiiT7E9OpTTTSx/S9y0lZiKy4mKSKPqV0WV91jZ15rPj0wlK3ZnStzmiTYMPKP2IdWb56P5eghTr6zFPOxo+R9+w15335DeMtWNLz1dsKaKJM3gOSl0IoOcfuAKA4UNiMlxcYrr5Q5se/ZFeNeDbYyr+cz0nsnJtFs5pMYI+WVD6MReveyULJrJ6c++oBDb590Op50/U3E9OmLMSqq6jf7d5cjDUkIy6ND3F4uSdnMNU2cPVWOCG3chNj+lxDRpi2hqY0QFAZYIARwX7y6ViseCh6DXaGSU4TkfpNqP8GQIRbS0kK8Pt/+3t7IYwJFRuTJ4OKonPlTe0iHDh061EBzjtOll17K8OHDZYvcLliwgO+//57Vq1cHrIHBwNmW4wTVGwsos53JCfnnStKnv31VEwnHWhQzXxPDfX0+4LFtVissXBjKokUhTjWC7OcMHFjBW2+FMGOGMgmCr1Dzjv7kavmTDxgIZVu02fjho+OsX/wHt7ZZIXvO+owerDxyBdtzzuOVRYLTvSsKCsj9ehX5P/3gdE3KPZOod8GFskrBhg1GlaF6IibTXuLj7+R/XevTJCKS/qs+460lZoYMqXCaNwIiEzu8z02tVwLw8YGhdHvwOoYMlZ+P5syT5K7+hsKNzgpO9MW9iB88lLDUVMVWrVxp4v7/iLSNOUiPBn8xovm31AsplT230BzFisPX8Nuprtz3TCpDR6q3J/pDnuJPvo3653qrQ+XcnoQEkexs7wYG+5wLxjrkCi15S+A5J/RczXE6V/b52kZdkgl1eEaN5jjl5eXRrVs32WMXX3wx7733ntZb6ggAlMK5EhJsjBoleStcF0udslUdasKqqtaiakdOjlAZzqZcY0ZLSKaa52/dWqy4+a5ebWLePPlCuGPHhhMXJ5KXp9Xjow7r1xu9CgL+WJj9uTYQRSAFg4ErxzShPLYF1z9+M1knrXSK28M1TdYxuKmUE9U/5Tf6p/wmXfAlZBZcTkyPnoS3aIGpfn0a3DyGpOtvpPDXzWS+/RYAGW9IxXXjBw0h7qprMNarV/XMrCx1wnZsrEh+fjuiyz6iScRUgCqlyXHeRJlKWHLJdBpHSR6jaZsfZXPWhaTMEBk4qFqItZaUULj5F7I++sDpOaaEBBqOuZ3IDh1lFT2xooLyE8cp3buXgg0/0/74cdYMlG/zN0cGsC6jJ7vyW5NbbqcCF5k0yczQkWZV721HoENZ1UK9p0u9R0wUBbKzBRISpKLKSopHcrIURvvFFyb27FE3p/3xzGnNW/K39tDZBn2f16EjsNDscbrnnnuIiYlh7ty5bseeeeYZDhw4wJIlSwLWwGDgbPQ42aHWsnQ2UbaqgT99FWyrqlqL6m+/FbNli5HVq00sWmQPp5EX1gRBfR/6y0TlnQ7fG4mF//AmCPjGTuiZnro24Di/ExOlfs45UUoj2y6SM76ndOcO2esSrh1BvQsuJLRRYwRBoPTgATLffsuJhS6ibTsa3HIrYY0aqx7zy5eXEBIiYNvxG4mbX6LeRT1IvWciUD1vmtc7ygeXPVB1zQ0/vsLx4upC6SuWF3F+/N+c+vB9LKcyne6fdMNNxPR2DsUTRRFLdhZlBw9wevMmiv/erti+rVmdWH1sAP/ktuNYcTIi7gJ4YqKN557znQFO2duv7O1RI7h6WsuDV6YAJkwws3hxiEJIrUhUFBSrzCGzwx+Pky/sgWeLsnAmREroqEZdlAl1yKNGPU7Dhg3jySef5K677mLYsGE0bNiQvLw8fvjhB7799lvuv/9+vvzyy6rzhw8frvUROvyAmnyWmopLP1sQ7IRjtRbVrl2jnApwKsFggEWL1G+I/jJRec8fCn4itrdEdO/shO4CItS8ddqb4UN+focCXSv/QUV+JdHEmm8wHz8OQM5XK6oov41xceS3v5YT7aaT2N9Ei4wvKFy/ltK9e/h31uMAlHe/H5OhNxU2+S3Crkz37m3l8OG9jF06jsebt6J727ZV52RmClyWml5Vb2p3fksmpz9FmVVSMppEnWBMmxUkvfsTxx3uHd2rNwmDhhCakorVCr/+XELRvn9oeHorEXt+QgkhSUnUv+RSItu1Z+vR5owYXV/xXDueeqqMceMsbkWftXgIlclbXCGNqenTzV7z8rwxTyYliaSk2CrZMgM7vwYOrCAkROTVV0Nljxe72RyVFcRAkBH5krcUCE/vmQ59n9ehIzjQrDg9+OCDAKSnp5Oenu52fMGC6vodgiAERHGy2Wy88sorfP7555w+fZru3bszc+ZMmjTxjW72XIdO2aoNwU44VqtwSSxa3mGzCU6sV4F6vtJ5dYGhSo0goIWdMD5eZP58/63TWoTwQFnJTbGxxPTuQ0xvO9FEJsXbtpGT9hW2khKseXlEb3qHdpXn/1rQhiOJE7nx2nzyln0EQOMt/+PnIf9j6Z7r+ezAEIoqohye4KxUWq1WCkpKsIpUkU6INhut9i1m9kXrAHhr9w28s/c6okwljGrxDVM6O0clhCQm0WDMbYS3boP5+DFOb/2dzG/XYirLIxFIdH1Jg5HYyy4jqsv5hDdvjjEyyulwz6Z4DKGzC/SuSpOvfWAX1NPTjYwbF15JtuBOgCIIIh98IBGaKEEt86SdCS9QsH+T7t2tTJqklIuoxEAph8AYH7yFQyopZ7VV8qKuQN/ndegIDjQrTj/+qFz8L1h47bXX+Oijj3juuedITk5m3rx5jBs3jlWrVhEaKm8V06EMnbJVG3zduNVCvcKlvj9c+04uxCsrSxLm1TKoKbWzrjBUqREE7DVnxo2zC4budbEeesjM1Knemfq8QYsQrjXHTS0EQSC0YTKhVyWTbh7M+LtCaB1zmAGpm6uIJs6rv4/zLPvIWyZd809hBxqGniAxPJ+x7T5jbLvP2JLVhRf/vot/ixp79GiGNmqMtaiIQ489TESla+KBX2ZgEEQ+uXwSjaOcQ/G+ODGc8Q9EULx1C8dffMHpmOPm9POJi/nxeF925rfhVFkCS5Z4VmSMRqnWkNTPrh4RqQC0Fqp8NX1gNEr/HMlRXOFtjGphnrQz4WmHu4fIMf9nyxZfGCjdodXzrQStDJU6JOj7vA4dwYFmxammC92azWaWLl3KQw89xIABAwBYuHAh/fr147vvvmPIkCE12p6zATplqzYEcuOW80CopZPXAse+kxPgHZGSYiMuzkZ+vm+Kob/tDw+3UVYWuJAjT4KAZxpnySPw0UchTJ2qjSTAFVqEcG8hNb7Uk3IdZ927W3n88TCsosCegtbsKWjNm7vGEGow07GKaGItAB1jdrrdr3vSdj68TGJSnf7rIyTEt69+lkPsliU7iyOzZ1X9fTqlOy/2fsrpXieKG5AadQqAkalfkvOZ87PCmrXglfWXs+HgeRw+3QQbzi+tJsQoLc3EtGlhqB1TgQpr8ldY1UKbb2+XIHiqeSZiMOBEIhMfL9VezHGo6+tYw86XGl5y0Or59gR/au+dq9D3eR06ggOfVsg1a9bwxx9/UFhY6HZMEASeeeYZvxtmx+7duykuLqZXr15Vv8XExNChQwe2bNmiK04+INgelLMRgdi4PXkgtOXfKMO175QEeEecPClUHfdFMfSeP4TsO9jbOnt2eWUBTaVcI20KlSdBoCbCV7QK4WpyxLS0SW6cRUXZKC52f4bZFsqfOZ35M6czz/41mShTEecn7GJki9Vc3GCb7P3nXvwsvAM5+SOJvewKyjMlpjxjvXpOShNAdMYWt+vtShOAMTqa+gMuI6pDR8KaNsMQFkZ6upF3X1YmPvDWR97HvPY+UDsu1Aqhe/caSE93Z4PUav0XRfvcFRXn7qJFZcTGiqSnGxEE6N/fxsCBEaxZU8qJE7iFkAZSkA6kN0PPW9IGfZ/XoSM40Kw4zZ8/n7feeot69eoRExPjdlwQAuv2PXlS2pRTUlKcfm/QoEHVMR3aoIc++AZ/Nm41Hgh5OnlRdW6Ta995Dvuphl2Yj4sTCQujMuFcglrFUEmxFAT5umKObR0ypII//zQrJqPLhVp5UsQ8CQI1Eb6iVQhX+6xXXpGYFL3lScmNMzmlSQ7FFfVIz+xOemZ3ABLCcuneYBu3tPqSFjHHnM7N+fILcr78AmNEBE+370jDigq8TYbcxpdgbH8RXa5uRlic+/4B6r99RoZAerrzXAT1Y96XPvB2njp6coEFC8JYsMA9dNNXpWXCBAtpaSZZow7AffeFV43JBQugcWOYM0dg5EiLD++gHoH2ZgQ6b+lsrm+k7/M6dAQHmhWnFStWcPPNNzNz5sxgtMcNpaVS0ULXXKawsDAKCgp8uqfVamXv3l1Ov8XExNC4cRPKy8s5cGC/2zUdOnQE4NChg1VtMhgE6tULp379RKKjY8jNzeXkyQyn66KiomjWrDlWq5U9e3a73bdNm7aEhIRw5MgRiopOOx1r0KAhiYmJFBQUcPy4s9ASFhZGq1atAdi1ayeurPItW7YiPDycEyeOk5+f73QsISGB4cOTqajI4YknjpOVVS1UJSUZePbZVgwdamPv3n1UVDgLzM2aNSMqqh6ZmSfJcYz1AGJjY0lNbURZWRkHDx5wOiYIAued1wGAAwf2U15e7nS8UaPG1K9fn+zsbE65UBLXqxdN06ZNsVgs7Nu31+0btmvXHqPRyL//HqbYhfIpOTmF+Ph4Tp8u5NixgxQVlWGzSd8qIiKCFi1aArBz5z9u923VqjVhYWEcO3bUybualAQdOiSRlNSAoqISDhz41+m60NBQWrduA8CePbuxWKQwKZNJCkerqGiJKEZhMJzAaMxBCsUS+eSTcr7+Oo5vvmnK/v1l1K+/n6FDrdx6axhZWQKiaKCiohMAJtNeBMH5GyYlNebZZyPo1SuTvXtP8ddfAllZ4YSEgM0Wg9XaDDATErLH7V0tlo7k5hp4882dWCzF5ORIYTZduog0apSCyRRPXl4uGRnO4zsyMpLmzVtgs9lo2/ZvPvkEtm8X2LjRyPLlJiyWdkAYRuO/GAzV3zAmRuTJJ+MYPjyevLwiVqw4RUhIdbieKIZRUdEWEDCZdlRt9BJEKipaI4qRGI3HMRhysXu2Jk82k5cXR3JyMiUlxRw+fNipvTZbCHBB5TfcgyA4h+RVVDRHFKOJijrF3r3O41DtGrF792FCQpyFu4qKxohiHAZDDkbjCQC2by8nKcmG0RgNnAdYCQlxD5OzWNoDIfz883HWrz9NUpKNyZMt9O9vc1ojjh495jTORDGcioo2le/q+g3BYmkNRGA0HsNgyHM6ZrUmYLOlkmsO5ceTifx4chwgkhyRRZ+me7j3vI2I5eUcKSmhorgYk2DgRFkZACnh4UQYjZQ2b0FFu7aEN26CKT4eQRBo6bBGuK7B9jUiNRVMpn0IQpnLN2yCKMZiMGRhNJ5k5kwbBQXS2mWzRdOwYVPGjCklK+sfQkKcLsVi6QAYMRoPYjBUrxHbt5fTuXNDUlMTEYQ8TCbnddZmi8BqldbZkJC/qagoY+/e6u8ot0ZMnmxg1qxQbLYGWK3JCMJpTKbDOHpfRTGUiop2ZGQI3H33QZ58spT+/W0kJEBqahgnT7bCZqvnsEY4tikeq7URglCKySSNwy5dyhgzRuTvv42EhnakYUORBg328tNPFmbNCq1sv0BFRVNEsT4ZGacYN+4kTz5ppn9/iWQiOjqaJk2aIopmJk/+o+o6+5y0WDoCQuU3LHEZL42w2eIxGHIxGo8DIklJIgkJ5Rw7FkmTJi1IT4dt23ZVrSuGym2nTZs2hISEcvToEU6fdt0DG5CYmERhYSHHjh11Oua4B+7evbNqXbejRYuWREREkJFxgrw85/EdH5/Ali2NeOQRC1lZ1XtVUpKN++4TmTBBmjf79+/DbHZeI5o2bUa9evXIyjpFVlaW0zFf5Ag7GjVqRP36sU5yhF3GEEUTTZo01SxHtG0LL7+cyjPPpJKRUYDJdLTqPSdPttC5cwgmk+9yRMOGyRQXF/Hvv857oMlkom1biX5m7949QZcjbDZp37HZmtK8eQxt254iOzvwckRBQT7Hjx93OuYoR+zevZN69cKd5AwlOQIgKckuRxRx5IhnOcJqdd5TmjdvTmRkFCdPniQ31/kbxsXFkZKSSmlpKYcOHXQ6ZjAItG+vLIs1btyEmJgYsrOzOHXqlNMx+xphsZjZt2+f2zds3/48DAYDhw8foqTEeY1ISUkhLs67HLF7t/O+AMFZIwwGgfPP74TRaCAj4wTR0U0wGpVIcVwgakS3bt3ETZs2ab3MZ3z77bdi27ZtxdLSUqff77vvPvGee+7x6Z55eXliamqq07/JkyeLoiiKBw8edDuWmppade2QIUPcji1btkwURVF8++233Y7ddNNNoiiKYmFhoex9s7OzRVEUxdtvv93t2BtvvCGKoiiuXLnS7dhVV11V1abmzZu7Hd+9e7coiqI4depUt2PPPPOMKIqimJ6e7nbswgsvrLrvhRde6HY8PT1dFEVRfOaZZ9yOTZ06VRRFUdy9e7fbsebNm1fd96qrrnI7vnLlSlEURfGNN95wO3b77beLoiiK2dnZst+wsLBQFEVRvOmmm9yOvf3226IoiuKyZcvcjg0ZMqSqTXL3PXjwoCiKojh58mS3Y/PnzxdFURTXrl3rdqx3795V9+3UqZPb8ZCQLSKIYkzMLJnnPiKCKIaEbHc7lpzcVgRRBFFMShrgdvybb9aIoiiKL730ktuxuLjxIoiiwXBc9l2hTARR7Nt3lNuxDz/8UBRFUfzwww/djo0aNUoURVEsKyuTva/BcFwEUYyLG+927MUXXxJFURTnz1/jdiwpaUDVuyYnt5U5vl0EUaxf/xG3Y7NmzRJFURS3bNnidqxTp05i48aiKAii2KBBb7fjYWFrxSZNRHHu3Plux9SuEf37u68RERHLRBDFyEj3NeLGG28SExNFURDk1wiDIVsEUYyP17ZGJCZeVfUNU1Lc1wiTaXflN3RfI6KjnxFBFEND3deIDh2kNcJWUSFe0KWL2/F1a9eJa9eK4pgxvq0RFRWimJrqvkaEh68UQRSjotzXiPj420VBEEWDQX6NEITCym8ov0aUl4tiVJT7GpGYOKTqG8rd19MakZo6XwRRDAtzXyMaNOhddd+GDbWtEfXrK68Rbdu2rRqHl1zivkaEha0RQRTr1XNfI8aPHy+KoigeP668RiQkiGJysvsaERn5YeX4dl8j+vcfJTZuLIogv0YcP35cFEVRHD/efY146SVpjVizxn2NGDBgQNW7tm3rvkZs375dFEVRfOQR9zXilltmiYIgiiEh7mtEw4adxOXLpfv27u2+Rqxdu7Zy3fJ9jahpOaKiQhSfe+7slyPsa0SjRme/HLFlyxZRFEVx1iz3NeKRRx4RRVEUt2/3vEYMGOC+RqxZoyxHeFsjysrKRFEUxVGjAitH1MQacfjwYVEtNBfAffTRR4mMjOTxxx/XcpnP2L59O9dddx3ff/89TZs2rfr9pptuol27djzxxBOa72k2W9iy5U+n3+qixykxsSF79zbg8OFCDIYjTlY6fz1OdcVSZEdNeJwKCrID4nECbZai774Tefrpahphd4+THWKlNbmxgzVZausNN1Tw448hZGR0BiSPU4MGpVWeB3C2FJ08eYqRI8McLPLePU5gYPHinZx3XpHTMa2Wor/+EpgyJbzyvu2AUDePE8DSpfUZPDiBDz4oZupU5z6v9jhVe0vq1bNRVGSo/IatiY8PY/Dgf+nRI5suXaTvtH27QFlZIm3bJtO162mOHj3sdF+j0cjevR25444wTKY9gGOokojV2py33w6lZ88Mn63JBw4cZNgwG9nZ1R40Z4/TcZKSJA+jwSCtEW++2YY33jB69DgZjYcxGOxrhGTR/+mnWBo0kDxO7713wmmc+edxSsRmS0YQijGZDgHVVurLLjM4rRFrH5zCy4f3c2/z1jSKiODxXe9z5EQSBkMGRmO2k4dM7RqxZMkhHn3UTrdt/4aOHqcMHEPxbLZorNbmKI9vV4+TWNUHqakp7NyZyLXXlnn1OC1cWMb553v2ONkRH5/E/v3J/PhjCa+9dsLpmN3jJPXNTgTB6nTvd99tw+LFcSo8TvucvEaO1uTPPjvAvfc6h9rZPU4GwymMRmnO2Z8rZ022W/JzcgS6dj2PPn3g8OFD/PprKTk5AseOGUhLM5KZ2aTK45ScfLSqv9evNzBzZhwVFS0BkZAQ+zorveeTT5q5665WNepxstngxhsbceJEKoJQgsnkbJEHAw0anMfWraV8+eV+MjMtTl6yM8njJH3D4EWu1LYc8f33FifPqH2NMBpPYTA4e1R1j5ME3eNU/R3OP78TFgscO3aMli2bEB6uzuOkWXEqKiriuuuuIzExkS5duhAR4VzRWxAEJk2apOWWHmE2m+nVqxf//e9/ue666wAoLCykX79+PPPMMwwePFjzPa1WG7m5blX8NCOYVaLPlsrndQW1WdE7Pd3IiBHKye7VUM7diYsTCQ2FkyedC2LOmSM/HtQ/s/oZKSkiW7cW+x3z/sUXJu65J8LreW+8UcrIkRU+fx+7IrBkiRTSpWW+yM2v2FgbEyZYvBYn9Ya0NBNTp4aRl+eeV+TYZsd2ae0vO1asKKnK+fD1Hp4hEhsrsmRJGb17y+d/fHvTdfx319880/kiWoeZ2JR5AdN+rTasKb2zN6xcaWLChHAnRjgt7fZWX2jp0ur2aB2zWuDLvdX25fTp5Tz0kDwDZDDfyRFKeUJWK3TrFlWZd6WckxiINUcL1H7bhASbU8Hx2th/a3Pfquuoi+NL768zB659FR8fhdGoLhdYc7GG999/n0OHDrFlyxaWLFnCK6+84vYvkAgNDWXMmDHMnz+fH3/8kd27dzNlyhSSk5O56qqrAvqsugJ7grdrFXo7kUBaWmDoYnXUDOzJ1q4W/2ooM8+BlMiem2vg5Enn4ydPKo8HbeQGgU0U1kqDK5FfiFR/B7n2uQvC9mTnhx4KY+xYbfNlyJAKtm4tZvr0cmJjpQ0uP9/A3LlhdOsW5fMcs8/dvDz5729XQhypyNPTjWRkCCQk2FD+BvJw7Gf7OFN/DzXnCeTnGzAYvPI+MHfXAwD0avgnw5p9V/2Uyn56/PEwrBry+hMSRB+VJglK8y06WuTuu83ExYlV7QkmdbMv91azZqSk2DwW0lVbn03teUqwEzaMHFlBnz7VynU1SYryunbihIHNmwMn1drn0xdfmEhPN8qON18Ljuv7b91CbYwvHTrAB8Xpgw8+YOjQoaSnp7N79263f7t2ubvZ/MV9993H6NGjefzxx7npppswGo0sWbKEENcM4LMA3mu6aBdAdNQ+xoyxVNEGO0JZMJKD+vGgTcATmDbNHDBLqjehTxBEUlNt9Oxp9VJXCaoVJs9Kpdz1dqrmadPCWLbMXZBavdrEvHmhboVEfRWQvLMYikREwMCB0ndOSzPRrVsUI0ZEMnFihIN1W33fOfaznUXL+z1EDAZtNO9qhM19GYlM3CjVbJre9U3axFSHiPgixPjDbDh9upmUFOdvEBUlhXuePm3gzTfDGDEiskpJ1jJmtcKXezv2pet1Uu0mmDPHs6FDLcFtgIlwq1DTBVgd59M990Q49a8jfC04fi7vv2oU0pqGXuBXR21Bs+JUUlLC6NGjSUhICEZ7ZGE0Gpk2bRqbNm3izz//ZNGiRTRu3LjGnl+T0K0oZxfsm/ncufZinM79mpIiMn2678VWlcaDVu9Dy5aBCyvwJvRBtXfL23hXL9wrX5+TY2DiRGdBKhgGCjXvYu8rJa+yJyXRGfKC/JAhFSxdWkZcnGfvpk1jdysJmzaLhRiTiauSGmKzxbM9twOLdt0EwNsDplHP5BwSrUWI8cW7Y1dCpkwxs3VrMStWlPDGG6VMn15OcTEUFckryatXm1SPWa3wpNB6ured4t9VAUxJEVWFPWZlqfvWas/TAqtV/X0DQVmuJUrDuzdPGefi/qtWIa1p6AV+ddQWNCtOvXv35tdffw1GW3SgW1HOJigLx1Lo2fTp5WzdWsyUKWafN3I7XMeDs7DmHb5uLkqWSLVCX02PY7sgtXBhaMANFFrqD6mpNeQZAqWlktfMFUOGVLBzp3MYoh0GQ/X16iASF2fDakVWibSVlpIYFsa4Zi2wWhsB8N6+UezJbwHAG/0eQaC6DVrGmfoQVwmuSog9hOzaayv44AN7dIKykjxwoH+KijfExrp7+eLiPN/bHlJqVwBXrChh69ZiVW2pLcHSLmjPmOE50dofLx5Urz3LlpmYNk29EcSTYUetoelc2X/rctpAML3EOnR4guZRP2zYMGbMmMG///7LBRdcQL169dzOGT58eCDadk5Ct6KcHfActiUVnP3gg5AqIgKlQoWek9yrITcehgyp4K23yjwm2PtTPd4bgYmagsHqx7HSd9AWcmYv9rtokbowXyUBSS4hXu275OQIHgvkqkV+fnXxZFdB2miEhx4yM2WKuaqdWVmCV2HWGdK3zcsTGD06UjY53lZSTLnVyvGyMlJTi8nIiEQUBe79ZTbfDbqV5tHHubPdZ7y99wbN48z7vHCGUrFmLQWJ/SlyrQSlosQgkpvrfez6WvS1Z08rKSm2yoLWvhWM1gpP7ypH7OKrF09u7VGCa7FjUC7YnZgoVrJhesa5sP9688oLglhlcKiNIrp6gV8dtQXNitP9998PwNdff83XX3/tdlwQBF1x8gPeqrYHY7PTEXhoEdb69LEqbuSpqSKlpSL5+b6Nh2HDKoAyxo2zC8zOwqcoSvlXWqEkINktkXZh3pvQp2a8x8aKlXlI8ptjbKxN8fvIQRQFt7wmJTgKSHZlafVqE8uXm9wYt2bPLlc1dxMSAiN0qRFeHL//F1/4Zx127VsAa0kJx8vK+O+uv5k8eRePPdYNQRApqYjktrULeO/SBxnb7nP+yunI5KdbaxZiPM2L2bPLSUgQvSo4Wr34vioqclBjQAmW8Ll6tQmpJrHcWJT+q0awVGLNkzvP07s6QknJVQNl5cwzXMeBnJLcvbuVHj2iFOcwiMTHnxv7r9Y9rDagtD74M7506PAGzTvpjz/+GIx26KiEbkU5O+BLyKWStXv1apNf42HYMCnvxXVzsQszc+eG8cEHIao3mkBaIj2Pd+m/L7wghdUobY6AglfCM+wKlxprvDcLd0aGwPjx4UycaOa110JlPSSiCLNnl3vIP9IOLcKLWit5eLiNsjL37yLXtzaHWh39+9uchJiDp5sx589JPHbBq7zU+wla9FkIxGl9Rb+9QLXpxa8t4dObchEfDwsWlFcRlXi6j1qaf2/vasdTT5UxbpzFpz3MOwGLMuT6V05JfvrpcsaODUfJm52bK7B6temsF8rPlLSBYHiJdejwBM3xIo0aNar6Fx8fT2hoKA0aNHD6XYd/8DcpWEftQ60QlpUlOOUHyVH7BmI8ONJvy1F/a4lZDzSBidL7NW4M77xTHfanlOuhdL03SDUZ5ZUmqFZIlXPVqmFXklasCGHxYrm2SIrItGlh3Hqrt3A5O+udeqgRXtQlxYuUlanvW2uJM/mDaz9NeKknked3A+Dwo9MRK3xbu5Qor9WgNnMhAiF8amU0U8vuOGiQ5xtpzW9R+65JSaLPQq13AhZ3aO3fgQMrPBg3BATh3GDWO5PSBvxZH3To0AqfYjd+//135s6dy44dO6oqTXfp0oUpU6bQs2fPgDbwXIVuRTmz4S0ETRKOcco58VRgMVDjwVOSvFpPUTAska7vl5oKgwZFUFhoxS5rewqhcrw+I0NgxoywyjosSnlR7gxrdsTFicyfL/WDFgu33XuQkCCFkcmFRyrVd3JsmyDAokVlJCSIbNhgZMGCMC/XqBNeHL17yrlh2vrW5lId3v4cx36y9biH/f8Zj2ixcPLdt0m5a7yqZwQKtenF91f49KUQunfPj8CxY7Bpk4GePeXpFX3xKteEoK3du6G9fzdvNsoWr666Yx0IUasJ6GkDOnTIQ7PH6Y8//uCOO+7g9OnTTJw4kVmzZvGf//yH/Px8xo0bx59//hmMdp6T0K0oZy7UMDe5UkJ78/r4Ox4C5SkKloDk+H59+9o0v5/9+vBw+7dV9iZV/iVzFxGbrbrWki8W7nXrjDz0kFJtKs904wYDLF5cxrBhUh9Pm+aZcVGrNX3IkAqmTTN7bIMa2PvWVlKCQYDI8HAMBvl7GkJCaPHcPABOb0rn9JbfPN47GDVjasuL74+3y1dGs0AYNnxZK2rCs6d1TTEYYOJEbTXqzpQQtWBDS1kJHTrOJWhWnF588UUuuugi0tLSmDx5MjfeeCP33Xcfq1evpnv37rz88svBaKcOHWcclIQ1JUroYBdYDJRAECgBKRgCsl3YVPLsSCSgnpQXgfx8AwsXhgK+CUcvvhhGfr42ZcsOm01wIo8IhvDiT80u1761FhfTPDKKDa+9Tvv2HRSvC0lMotH9DwKQ8eZrmE9myJ4XzJox/lB7+wpvBhQlchZ/6owFwrDhy1phNEo5fJ4KffsraGulqBdFeO21UE3j50wKUQs29LQBHcFCXSyqrBaaFae///6b2267DaPL6mcwGBgzZgzbt28PWON06DjT4SqsPfVUWSU1eGDyg7QgUAKBXRiUE5DswqA3ASkYArKa3A6bTd03WLw4BKtVq3DknjvmC+TYvwIpvGijgK+GnPBbkZsDgEmmLIUrojp3IfaKqwA4/Pgj2Mqd64zVRM2Y2vDiDxlSwcSJ5iqyk2pI68DcuWFuY98f77Aaw0aTJtCrl7IC7ctakZZmYuZM5ULfgRC0vXvy/TdG6fWBnFEbBgcdZzfqalFltdCsOEVFRVGhkOBbUVFRlfOkQ4cOCY7CWlJS7RVYrCsCQbAE5F9+8RZWJ1BcrG7Jy8uThFJ1hApQrWT4329KNbkCJbz07GklLs6GkpInCFLRWzWKmiUnm2OlJYx8aCoHDuz3+uyk62/EFCsx6x3/34Kq/cIfD0tdg6sldeVKE6+9FuoWmusI17EvV9hYDnLrhDcvpSjCuHHw5ZdGRUuv1rXCW7Hv2bMDRw2tTAYTGGPUmRCiVtPWej1tQEegUJeLKquFZsXpwgsvZNGiRZSWljr9XlJSwqJFi7jooosC1jgdOs421GYYSKAEAruQW3mly1HPrFPBEpDti3EgkZkpeLFwO8Jz7pI6eFZcAyW8fP21yQNJhSRYv/BCOX/84V1Rs2RnY7aJHDhyhPLyclmBzvG3XzaF0HjGbABK9+4h/8fvgcAzNdYW5CypEyaEeyUXsY/96dPDePTRMNUFmpXWCSXlIjZWJC4OZs2C8ePDFS29WtYK77WqYObMwCq9joaEu+4yq7pGK1lNXQ1RO9Ot9TrOXZwtBjLNM23q1KmMHDmSyy+/nAEDBpCUlERWVhY///wzZWVlzJkzJxjt1KHjrECgmIrUFqV0RSAKBvpTm0bttZs2GRg61Pv7gO8FMb3BLpQqfbPERBujRlmIjISFC70z30lQ8kzVjCV75UoTEyaEyzy/GvHxYhVbmjfWMGthYdX/r19v4Prro5z6V/Js4cRSlpoazvwHn6Dp+ifI+uQjwlu2JjOzrar21+WEfKVxKIXmeocoCmRnC7z1VqjXc9WsE65MlQcPGpg3L9Rr0WrH69WsFbVVq8pxfC5Z4v2baTVG1UVmW7WFx3XoqIs4E4oqq4FmxalZs2Z89tlnvPzyy6xbt46CggLq169Pjx49mDx5Mq1btw5GO3XoUAVfFYqabNPs2eWMH+87NbIvFMWO8Fcg8IdkItCMVf4UxFSGSGqqs1Dq6ZulpxtZuFDdnQUBIiJESkqc2xofX02BHiykpZkqKdI9fSeB3FyBefNC6dfPSvfuVrZsUTdOZs0KxWJxvrecZysjQ+CWaZ1Y9t+bafjPRxx9ZjZ5F7wBRHh9h7qakB+ccagM1zxCpXXPrlxYrdCtW5TmotVq1oraZqELJm22GuNBTSGQhcd16KgN1PZaESj45Ntt1aoVL774YoCbokOHf/CkUAwf7juTWDDaNHGimRUrQjR7fQJlcfRHIPAn3DDQoYrea9b4BjnlVemb2QU3qS+913p6//1SRFFSuARBumfv3sFV8J3DK71jwYIwFiwAg0F08ph4V9Dl6NedIQm3Itc9P4JXev1Bl4TdtEl/9EPohQAAoAdJREFUHJPhVSpsRtlrarpmjFYDTLDGoRLuvruaYluNIUWtpXfu3FD697c6va+3taK2Wehqs05XTeJssdbrOHdR22tFoKBppV+7di2bN292+33y5Ml8//33AWuUDh1a4S3hcNWqmt81PbXptddCmT27XFOyf12JD9aaOO6Y42KzQUqK92s9MX45ItCWKYNB5K23tIW7OOaDqEFWlkD//lYeecTMf/9rpl+/4HtFvRNnyMNTrTE7sUPDsDByct6moqKZhjsL2GwGpm5+HIDkyGwmtP+g8pj72BBFGDHCUiPCry85JDVtIb3mGs+kDK6J1mrbt3BhmOacmbpAOlOXc5IChbPFWq/j3EVdWCsCAdWK08yZM5k4cSI//PCD0++ZmZn8/vvv3HfffcyePTvgDdShwxvUKBSPPhpaowmHato0c2YYPXuqT/avKwn0WhLHXYXQUaMiKSsjYLVefKXWlj8usmiRVHxWC6xWiIsTVQtnNW1N8484Q1lBryiVkvKjTCbKy69CFOtrvnupNYKbf/ofADe3XkWPpL8Uz9Vaj8cX+Mr4VFN96ihYaDGkaG2ft/d1NIZs3mxk9uzaZ6E722mzzxZrvY5zF2cCY6UaqFKcvvrqKz7//HOmTJnC9OnTnY41bNiQ9PR0Jk+ezCeffMLq1auD0lAdOpSgRqE4ftzAhg11q01alZy6ZHFUY+FVEkKr816cf4+N1W4dVmPBiouzIQieWfFSU0WWLtWmNFmtMHduKG3a1GPEiEjS0uxMaOqtacGmFbb3QX5+4MaEfez+vrEMgHyLmXr1XsZgOOXT/Y4UNWbW71MAWNDraRpGZMucFXyPqtkM06b55tFVV5jVP4HWVbDQssaop9Wvvhbk31fOIzdzZhgTJ5pr3eNTF2izgzWnzxZrvY5zG2eDd1iV+e7jjz/mxhtvZMKECbLHjUYjkyZN4uDBg3zwwQcMHDgwoI3UocMT1CoKGRnQtWuQG1OJYCg5dc3i6Clx3BtFsVzhXF+EezX5DS+8IFm4XNnBEhJsjBolvYNWEpG0NBP33hvmoS6UczFOOWuavyQf3hBswoLcjBISgNyKCmJinqO8/BJstgY+3evHE33pdXQr1zRZz/Ir7+HStE+w2Jwpuf3J4fCWs5SWZmLatDBycnzLIfE2Dr0zProXb3WFaw5kRob6NcZT+xRbJPO+SjmWJ04IvPpqKA89ZKZXLytZWXWHnKcmEcw5fa7kcp2LqIukVsFEXWSs1AJVHqdDhw4xYMAAr+cNHDiQAwcO+NsmHTo0Qa2ikJIS5IY4IBhKTl20OCpZeL1Zw5VIBHzxKKixYMmF8ezYUczTT5drtkyvXGli7NhwiovVvpu7Na0migB67wM7fFO0E6OLAaoK2oKcV0/9vZ/7ayJmq/TeMy74n+J5Wj2q3nKW7H2Rk+OfsUNpHCYk2JUiz2yG8qGrInffXe4WdpaWZmLGDHVkH660+u6FYz3D/r7ejSEC8+eHMXlyOKGhnHOFUmtiTp8N1nodzjhX63LVBe+wr1DVM1arFaOKt4qKisJisfjdKB06tEANHW1qqki/fgYcys7UepscWcLUWJzOJIujL+GCjsxel15qY9Ag9deqsWD5wyRo759vvjFW1tnx9n7S8SlTyt1YymqKVlhtH8TGigiC5PFT44mwj93zWhRxEgiJiwXgySfNvPKK6CI4yt1P3rtSIYZww4+vseKqCVzWaBPpmT+z5tgAt/O0GBu8sVAuXlzGzJnavHKeni83DjMyBCZO9E617gollk21dcvkmAiHDKlg6FAbO3ZEkZZm5oUX1Nc/UssceC7WFKpJqvBAWuvPNU9HXYNel+vMhCqPU/Pmzdm+fbvX87Zt20ZqaqrfjdKhQwvUJBw+84xZ9YYQiBh1fwgUPFmc6orF0ds38idccOHCMIYNi6B5czSxIQbLguXYP4sXh6lSLuxo187m1paaIvlQ2wdvvVVWFc7ozWPkOHYpKwGqPU79+9vYurWYp54q8/JE5e+XVZbA/b/MAmDGhS/TIvqI07O1eFTVkCc8/HCYarZBb8+3z4mvvpLm7bXXSuNQvYdHasOQIRZZYgOrFdavN/Lgg2oUPWVDitEIAwbAf/9r0eTBVm8MqTmGz7qCmibuCcRad656OuoK6gpLrg7tUKU4DRkyhPfee4+jR48qnnPs2DHee+89Lr/88oA1TocOtfCmUAwdqm71CeRm4g+Bgqfwjtpmj1LzjbQmo8vh+HG4446wWt3IlfpHLeSUl5oi+VAb2tmnj1VxrBpcdojkZJFp08yYzbBvRykA9ZOSGDx4MNHR0RiNkJTkX47d1uwuvLt3FADvXzqFSFOJTx5VNcKsp5wml7M9Pt/TnLD3g9qwxbQ0E3l5glsOVrduUYweHUl+vndFLyHBuyFFK8OVFmNITTF81hXUJeIeNaiJsEIdnlFXWHJ1aIcgit7TVs1mM9dffz2nTp1i3LhxDBgwgMaNG2Oz2Th+/Djr169n8eLFREdH8+mnnxIbG1sDTfcdVquN3Nxiv+9jMhmIi4siL6+YioraKbCqwxlKoQdq+srZbe4eBuerR0epTVYrdOsWpVg41R5qs3VrcZ0Jn9DyjRxpsJ29NN4T4R3vG8xv4ClUxVv/eENioo2//3Zvd3q6kREjIr1ev2JFCX36WP0Kp1HqA6Ux7fqs7t2tbNki/X3woIH33w8hI0NSNm5v+znj239CdpcxDHliBN98U8qJE1KdqhkzfKU/r2wfNj667D6a1MtgV14rZh14lqefNmuaf198YeKee7SHyMkhIcHGvHnyCf5q5gTA2LHhqBtHUmixfcwr3d8TXnutlNGj5b+V61qoltDAPh+Uwo/l8MYbpYwcefaHGq1fb2T0aPVzWi2CIWOcifvOmQIt/aV2fTpX5lBNw7Wv4uOjMBrVGdJUKU4AOTk5TJ8+nfT0dATB1a0o0r9/f5588klSajID30foitO5B3tfZWcXs3GjUCeUGK0CdG3DuyIhkpAgsm1bMaGVqRNyQlm15V29MhKMb+BNYFTbP+6Q3u+tt+Tpzb0JoI5jbfVq/1m6AsH0JSe8399pCde1/Ian/5jAltLO5OQkAlLHGwxiZfFc3y3s0SGnWT3wDgDiR4wmcfAQTder7b+EBBu5uUrKgEh0NOzaVVQ1ph2hZd34+msTEyaEY7Op+yYrVpTQs6fVJ+Xd03yR27fUKudalbi6snYFE2lpJh57LKzKoCAHX/ePYMgYZ9q+cyZBS3/p/VC78EdxUu2PTUhIYMmSJezevZv169dz8uRJjEYjjRo1om/fvrRu3drnF9Chw45gJqt+8QXce2+ErAAZFyd6THz2hwpZCXUxvMPT9/eeHC6QkyPQtWtUlXVeLpE5K0vgnnvCKwVrdQj0N1CTlGs2+37/SZPMijWh1JJ8rF4dmMRhex+kpxtJTzciCFJ+RO/e/uUKJUdkAZBbkUNYWHdCQr7FYukM4NC3rt5F9d7G/0wJpel1T3DkqSfIXbGMqLbtiGjTpqpNmzcbyciQxlxCQjURgn28qiVomT27nHHjwhXbdvo0fPedSfZbe5sTjuuGNB7KKp/l/RusXi1tz2oIGeyQI4RQA7XEKfaQTklRUH4HX9txpkENUceZStxTV8IKz1ZoJZDSUXegOZC1ffv2tG/fPhht0XGOI5g1MFatMnLHHa4hY9VC6Pjx6tggA7mZ1LW6TN6+v9p3z8lxFuxdhbL0dKNqq7sdgfwGahmwXnrJG8mBHKR2duvmWSu0C6CutaXsTGoDB1bQrVtUwFi6XD1XCxYoh2O5Ks5KykFKVCYAJRURdkeTAyR6bYMBGQXZm/IkCQxTppgxGpvT4JbbOPXhexx9fg4tF7zEt+vjZbyYEhzfSa2COnBgBXFxokNhZvf3UPrWWoXQYcMqmD7dzNy53qnEly83cf756oWmmhLQ7Yr4woWhzJ1r7/i6y/DpikAZ59TWSUtOFpkzJzC12QKBurbvnKs4k1hydThDvSlLh44gIpjJqlYrPPJIqEf2muXL1d0/kJtJXarLpOb7q393z4xAWpRPyepmw2bDL5ZDR6hNyhUEfCC4EBAEdWxInkg+Apk4rHZuKREcfPut/DNSIk4BlYqTLARsNoGnniqrer+33iojNVX5ewqCiCDAnDnVAkP9AZcS2bETAHv/+ygTxoUoknWcOOH8TkqkF/XrSyQXdm9oXp7nmmNK39oXIXTKFDPx8d7drTk5BtW1paBmmTWNRnjoITNLl7r3Z12uKRRI8h+1ddJeeaVufYu6tO+c66grLLk6tEFXnHTUOoJNy6kmnCYnx0BCQs1uJmpYrWbPLmfzZv+o0b1B7ffv3l09U54nwV4bOxeUlcGoUYGjzFWruGVlCYr94wlalBolWuFAhdOo7duVK5WVqzfflK/1ExUieeSUFScJSUli1fsNG1atLE6YYCYhwVmBkBMYBEEgdeK9AJjMRdzbcanbu1RDQBSd1wu7gjp9ejmxsdLz8vMNzJ0b5lExdIX9PEcqfqsV4uI8MeaJxMc7rxtGI1x3nToPd0KC6GXOicTG2li+vGaZNe2obYZPLQi0cU7LOlJXYPe2DR1qQRTVsSnqCC7OpDmkQ4LOOamj1qElT8CX/CK1G9zo0RYWLQqtUbe5p5CtESMszJwZnNBFR6j9/lu2GKtCC9Tmqsh9e2+x3XbEx0NuLm4hVCdOCIwdG65IvuANWrwEffpYZftHDfwJ61TbRm/U32r79sEH5RP+7WGBICqGJBVXRBDtoQ0HDzo/364s9ulj5ckny1WFTRnCwsgZNZ+E5Q8xqsUafjt1AemZ3RWeKL3TokUhdOxoIztbYgScN8/uda6GJ8XQFcuXh9C9u81tTnpTquXyX665xsqbb3p/pj1001M4z4IF5fTrV3veAX8KS9cUglGg9kwLeZMLxZbGVPU5SkWXdQQXZ8Ic0lEN3eOko9YR7GRVtRvXNddYa8VtLmdxmj27nNdeC62ROhtavr9d0UtI8F1o8ORpkxQykenTy4msIhxybZ/EMDZhQjgrV2r/DlpDVVz7x3uBVwn+CExq62BNnux5LKjt28JCZdY2UfSs4BaVXcCJEwexWDrKXc28eaGKbdRSyDOjNJlHf5sOwPMXP0dq5Enlk4FZs8IZPVryVM6d60loVudRzM42MG6cu8dC+jbKHrC8PHfvo7faTo5jUA/n8R/BqJlzJoW8KXnbpPxDkQkTzLqnQ4cOldAVJx21jmBb7qo3OPnjrkJKbbjNHQXInj2tzJxZcxXFtX7/IUMq2LatuDLMyjehQUkYTE0VWbq0jL59bRw7Bp68WjabwLhx2pVIrYU/7dfY+2fcOEuNCExjxlgqx4By/5w86VmR9rcYrTMcvB1Uh9iJhABhyG8ngRuvDRuKrD95MV8dvhKAz66YRKihXMMdfFMM1d7HEzIzBacQv82bjcyeXS6rtMmNQT2cxz8EwzjnyzpSG/BMYiEZDuyFmmu7rTp0nAlQJXHcdtttqm8oCALvvvuuzw3Sce4h2LScRiM8+6yZO+5Qx15T227zYIcuusKX7x8aCvPmVYft+RLaKEdVbt+8v/oqRHX7tYbY2J/tidXOk0CqhQ3JFwYv+dpX8vAWZqSuSp92RJlKq/7faDxAbOzD5Oc/j9XaSraNgRivElGCyIK/x3FZo3SiQ0p4+qL5TP/tMZ/vqR2+eb0PHjRU1mNyDrudONHMihUhqsZgba9LZzKCZZzzZx2pKdT0fqJDx9kOVYqTyhq5ms/VoQNqhpZz6FAry5bBvfeKdXaDs0Ot1XPDhsDUu/L1+wdCaFASBrUw+Pm66XtS3NRc6+3d5RSglBQbt95qoWVLm+zz1NSFcYVd8HnrrRCSkkSn+2ZnByIx3T2frV5IdQFxg6GEsLBNGAwlHr1K/uR8Wa0wc6ZE4W0VTdzy00usvHocvZP/YGjT71l15Eqf722Ht0K4vilNIvXqiYr5Va+9FsrixVLoazBq13mC3QNW08+tDQTTOOfPOhJsWK3SPqEGet0mHTrUQRDPQU3HarWRm1vs/UQvCEZV73MZwazjZO+r7OxiNm4U6twG5wi1FcUdkZBg4/nny30iS7DD1+8fjKLFgmDggguiOHZMncD6xhuljBxZs230dF9nBUi5AKzj97VaqfRKeMqZUQe7glZRAQsWeK8ZpAz79uDcntYxh3hnwEMUW8IZ8sPDJCUNJCurugCuHFasKPHZoi03J7rE7+S1vjMAuOPn+ewvbOHTvR0L4Y4fHw7gZjzwVqvHO+THsf3ZW7cW19g6ZDIZWLs2invvtQWdeKYuIS3NxNix4ZV/uc5JWLq07uWL+SNjaPFcg3/zU4cEXSY8c+DaV/HxURiN6uaKzxnmOTk5mM3mKg+TzWajtLSU33//nZtuusnX2+o4h1ETljst4S7BEra9wTvrnLswm5MjJa5PmmRm1iyzT8/19fsHI4TIaIT//Q9GjVJ3vicPlRqF0Ne+lnt3bzkFjrCTfSxZUkZcnKhayPGGjAzBpciqrx4T+WuiQ4qk55Q2cDhHOefLn1BbkLeGb8/twKJdNzHhvI95Z8BDXPPNexRVRGm8s6QU2QvhTptmZtGiEPLznb2Is2eXM3NmmFcmSGV4IiWo2TApb8XA7YQTtbX+6fAfWjzXgZifOnScS9CsOO3evZuHHnqIAwcOyB4XBEFXnFRA35TkUVfi+IPp/fIGT6FzSh4AO159NZQLLrD57HmqK98fYORIePvtcu66KwybTf59vW36SgKEo5AIuPV1bKyNCRMsTJli1jwvveUUOMIxR+nxx7UQHTjdBW8Kmi9K0+jRZpYtk6fqjg4pASCjuKHHtrjWI/N1vVNSjN/bN4oBqZtoW/8wb/R7lFvXLkTUyHkUHy9is+GWg+Q6BgwGFOak/9iwwVgje4C3YuD2sWizUSOlEGoKdmOGBDmCBO105HUVng03zqhLJBY6dJwp0GzenDt3LgUFBTz88MP06NGDvn37MmPGDC655BIEQeC9994LRjvPKgSyermOwCPQhRJ9gRLrnJ2KWx7SsYcfDmP9+uAWzbXDkSksGM+69lorixaVYacpd4S3TV9N8df77w9n7Fj3vrYXSO3QQfu81JorYKdClsgPfEFwchOaNlU2V9tznE6WJmG1NiI/fx5WayM35sqUFJGJE83MnBnm13qnTP0scG/6bACaRx/jznafq76n/frcXHma8YICgXnzQlm9Wmqn8pz0HwsWhNXIHqCOKED+e9Tk+hdoBIOOvK7C27s6Qqe016FDOzQrTtu2beP+++/njjvuYNCgQZSWlnLzzTfzxhtvcMUVV/D+++8Ho51nDeqCUK7DGY7C/4YNRh57rOaowD3BlYJ4yhR1HomcHENV/ZpgKuU1ZQAYNqyCpUvLSE3VVsdGjbB0+rRdEZU/Jy9P+7z0lTY/IUH0UrtJxGCouZTUPn2U69TYQ/XyzTHYbPGUlNyMzZZQNUdiY21Mn14esHpknqifiysiuW3tAgDGtvuMCxJ2aHvRKnif7/Y5uWxZCZGRynT8vqAm9gBtSn3trn+BRLBrBdYkvBmr1L7DlCnlOqW9Dh0+QLPiZDabad68OQDNmzdn9+7dVcdGjhzJX3/9Fai2nXVQYwE/EzelMxmuwv+oUZFkZNQdy6Rj/aD+/X0bGMEQyGraAOBLHZuMjEAIQQKiqG1eqi1e6wo7Ix/I14URBHjjjTKeeqqMu+4yM3asb7ls3mCvQ9W7t5Wnny6XrSVl9zidNkdhMOQSGfkRBkNu1fGCAoG5c0OZNi1w652SxychQeTg6WbM+XMSAC/3mUVCWK7cLTxA/Xw3GqF/fyuvvGI3ZARGeaqJPUALW6UczlTPTLBrBdYU1Bir1L5D//56eoAOHb5As+KUmprK0aNHAUlxKioq4phUqZLQ0FAKCgoC28KzCOdSuMCZACXhXw1qwzLZs6e1suisNgRaIKstA4CjEtmnj+dNPy3NxIwZ/rDJOUKalxs2GFWFJTp6R9QJ1c4FmOWUA3vI2xNPhDFjRjhLloSydGlopYLlj7DnW+HOhLB8AIoqojAajxMbOw2j8Xj1XSvHQV5eYNc7OQV627ZiUlNtfHvsUtZl9ADg08snYRQCZ0lXmu9xcXL5Zb73R7D3AG/FwNW2/UzwzDjCmzEjUEWrgwm1xqqz4V116KjL0Kw4XXXVVbzwwgusWbOGhg0b0rJlS1588UX27NnD0qVLadKkSTDaeVbgbAoXONOhJYFWDrVhmTQa4fnny5HL9/GGQApkwTAABDJXyi5g+J4zJI8bbohQHZZoV4ASEtT0k8CYMZYqRUVOOVAKedNWTML9ZLmcJEdWNaWE+uTILACKLJ5Y7IKz3rkq0KGh1Yrq7D8eACDcZGZ61zdU3M03T4R9jOXlKSlN/q0Pgd4D7PPrq69M3HZbBaIo79VUi7romfG0hngK9bQzK44ZY6m5xmqEFmOVp3fVySB06PAfmhWnyZMnc+GFF7Js2TIAHnnkEb7//nuGDx/O5s2buffeewPeyLMFZ0u4wNkALQm0jqhta92wYRVMmuR7iFYgBLJAGwDkwk+6do3giy+0t81fhdgTlJj5PClPTz2lLi+tZUtnT6KjctCzp5WZMz3Rm3t/T7vA9NBD5UyZUs6DD5azfHkJR48WsWxZSdVvL79cxsCBkqfG0xxJicwEvClO6hCI9a5KUW0YwujvXwdgcNO1XJqS7uVK71TqjvPdaoX16408+KBnunmDn6zygdwDXOfXc8+FkpAAsbHuXs233io7I70VakLYvBHuzJ1bMwQdvmDTJoMmY5Unz7VOBqFDh3/QvEKEhYXx0ksvYbFI1pl+/fqRlpbGjh076NixI02bNg14I88WeK/PAwaDGHBLuQ53+KJA1BVr3axZZi64wMbDD4eRk6NNQvNHILNT6O/Zo+6Zap7liS589Gh45x0jV11lU01lrYUKXDuU6ZuVaIzVMrB5+laBeCd7/pSrwORKu79gQTXttNmDfp4aeQqA05YowLfw7EDXj6muQ1aPw38/RPPf5/NU9wXc9GMLjhanqmqPa+FbqJ7v6guKCthsEBNjo7BQWzFjQRBJTpbo0b/4wuRzqQr7XP32WyNvvulOKZ+bK7Vz+vRyWra0OT1HiXbdX2r5YJXgUFNywD7u7WNk4cJQ5s61fxfB4zV1Ab4Yq2qiLqIOHecifDatmM1mfvvtNwoKCoiPj+fSSy8lPDzc+4XnMBzr8ygVpLTZYPz4cAyGurVwn23wRYFQEj5rA8OGVTB4cPWmmJQkMnlyOCdPyivl/gqp8kKj/BhW+yxv4SeCAFOmhAGh5OaqqyejXiH2tSCsy128FDDt2dNKXJytMqTLt2/lr5fwqafKGDfO4iYweRM4p01T1pyMBslDdtoShc1moby8FzZbpIdWyNd3UmuEUCt0V9Uh69OJU59cRf4P3/Hx5fdyxdcfUmZV3p+mTzfzwQchTqGQjvNdS0FRO266yVKptKgba5KiAmVlMGpU9bfUWj9JjYInherBBx+EsHVrsdO3tHsrpHs4f48RIyw+1XcKVl0872uIvGHjgw9CKv9PuzGkNuBrtEpdqsunQ8fZAkEUNUbJiyILFizg3XffxWKxYL88IiKCSZMmMW7cuKA0NJCwWm3k5hb7fR+TyUBcXBR5ecVUVKhP2l+50sSECeFei3q6bmg6fIdrX1mtUsFLZe+fSGysyAMPmGnQoFq4rcv9YRfuAFlLsa9WVGeh0XMxXi3PSk83MmKEJ2FbCRLDnNwz1N/TcyFhrXjjjVJGjnR/37Q0E2PH2gV2+XyYpUs9fytfv5OndcQ+/iXBWFmhKymB/Hz3czYOGwXgVSFRgqvQ7Ekx8lXoFm02Dk5/EGt+Pn9md+DeX2a7vYfjNwL5Nnj7VkpYtqyEwkKBqVPDKkky3FrodL9qBRt8nVPKc1UZK1aUyArXrn2SkyMwfrz7vb21T6lN/q5LoH5uOL6jL9fUFuz7VnZ2MV27RijuV7rMUDfgq0yoo+bh2lfx8VEYjeoiOzTHf7z++ussWbKEG2+8kffff5/Vq1fzwQcfMGrUKBYuXMhnn32m+QXONSQkiIpKE+jsejUBb8nCIJCfb+CJJ8J5+ukw8vKEOr8hBSOu3XPOkEzui4Zn+e5JUaYIV8so9dZbZZWMaIGBnEXYE7mCHZGRIvXrix7JMLzTm2svDqyW4KPCSzeWWcMAG1Be+V/veOqpMicqeU/5Kf7Q3gsGA81nPQXABYk7Gd3ya+fjLt9IibXR13zIe++VFMqdO4uZPr2c2Fjn75OaKjJ9ejlvvFHKsmUlVAds+MZU6Wt+n9I8VJtn56l9wWbg9CWE7UwkadIJH3ToqDvQrDh9/vnn3H333Tz66KNcdNFFtGjRgosuuojHH3+cu+66i7fffjsY7TyrcCYu3GcjlJOFnVHTxYn9YZjzpd6RJ3gXGqXfH3ywXPOz/EuAlzcuqBUwBg+uqBRU/VOePCXLq/l2JSUGRo3yzNCn5p1clUBvCqzataWoyL39zjTfAiEh/5Ca2pKQkH9U3TMpSXTyJikpRmPHhjN1qn9CtzE6mkYPPw7AA53epn3s/qpjapV8X+uBnTwprRurV5t46CEzu3a5z8uHHjIzcqQUEuZv/ThfFTw189BXJs1gl+DwJYTtTCVp0gkfdOioG9CsOOXl5dGtWzfZYxdffDEZGRl+N+psx5m6cJ+NsCsay5aVVFqE3fMRarI4sRp2KG/QUu/IG9QK2G3b2jQ/y9dCsY6Qa58aAWPzZqNHQVUe2iy9Wgwfahj6lN5p6dIydu7UpiwnJfn+zaND/Atztq9rarwR/taBSksz0Xt0V17553YA3ur/ME0SC5g+vVy1ku8rWY8cTbTSvFQ7VlavVl4HtBratDDk+WrsC7aR0JeaRWdynaNAG8Z06NChHZoVp549e7Jy5UrZY+vWrVNUqnRU40xeuM9G2MN08vNrtzixP2FJSvC3PpIWJV/rszyHS6pDVpYg+xxvAoYvgporxbQ3S68Ww4ca5dzTO9mF8muvldry1Vee+0BbZqsz6nlVnNSta2q9md6g1Jf2/LKMDIFPDgxle247ABaeP515c00elRBHqKvFJQ+164basbJoUYjiOqBlvNnrd6kN7/LV2BdsI6EvIWxnethbIA1jOnTo0A7NitOwYcNYt24dd911F1999RWbN29m9erVTJ06lQ8//JCLL76YL7/8suqfDncEauEOZNHQcx21HT4ZjFyAQHiv1Cr5OTmCT8+ye1KSk30TnGbMCFd8jicBQ72gJnL33VIY4pEjRYqKmNxc1OpRUyNke3onLf2dna1uHMfGure/XkgJALnlMa5vQFycDUFQXtfGjLFUKXW+hsC5Qim/bOpUx/wygambZgCQHJnNPR0+ZOpUdfNJLaW8J3hbN7SMFaV1QMs9GjeGd95Rz2jnq7GvJoyEvoSw6WFvOnTo8BWaWfXat2+v/uaCwK5duzQ3KtiobVY9O/yhaA0WvevZCm99VdtMS4F+fiCZrLyx9U2caOa110JlnyWKEtWza60YV6xfb2T0aLXMcfLU1lreyTurolRTbdGiMoYN830uArLfzhOUGPq8tUFLf6sdb9OnlzNvnnPfXpS0jRd7zeaf3DbcvfE5QkL+JinpGrKyVvPmm20A3L5HfLwNUcSJXS4hwaayDpln2ns5JjGl8dSs3jE+vOx+AKZsmsHDr7elf3/P88lshq5doypD9nxT9qZPL+ehhzwXrq5mYPT+DKV1QGmu2r2AEyZYGDLEyqBBERQWatu3fGXtDBbbpyt8qRMVrNpSgYLO0nZmQe+vMwf+sOppVpyOHz+uqXGNGjXSdH5NoK4oTlJbtC/cwaR3PVvhra+8CdLBpnv94gsT99wT4fU8NUK1WqppLe+ipBzMnl1eWddFSah0FnqVlHu1768M6Z3++EPbO3kSMt96S53S5G0ugrsi4QlalXPvdNkiCQkiTz1V7lQzSu14l4qFhlUduyw1ndkXLeCH4314YuuDgBmDIZupU6OZNq26TfZ17eBBg2yxUeeQPvl2R0WJlJRIx7QI3c8+G8rChWFuvwNc0WgDT3R7EYBvmr7EAzNdPWfV8F4Tyds7SOeoHZszZoTy5pvy7XaEp3XAm1HNn33L0709FVvVDX2+QRfEzyzo/XXmwB/FSXPSRF1UhM5kaC1Q52vBPx2e4VicWPKUuAtpwYx7D2QuQHXuiDy8FW2Vg1IVem/Pch2j9nwtV4HXfyIUgYwMgYULQ71a9u1QKvSZmqqu0LHaubh1azEDB1aQnm5k3Lhw2bpIUK2saA1bUtMHOTkCEydGVL6fJLCqHe8tWzoLAPYcp8zSxMpfQrHZUmnbtgywANXrmtUKHTpEVbXDtV3Vioe8V6m4WGDSJDMrVigXp5V9Yw9Omx+O96NXw61c3XgDg47ch82yGENIiNt5aorepqaK9Ohh5csv3a93aA0ZGerm2zXXWHnzTY+nAJ7ni9JcDcTapXTv1atNlcq7vGIUzDbp0KFDR01CleL0yCOPMHHiRJo0acIjjzzi8VxBEHjmmWcC0jgd7giGUKxDgpIg7U1ICwTsuQDePADBZMDyBjklX+s9lJR7b++vJFi7Yu7cUAoKJAHUkYRASVjzR6DTOhf797eyYEF5pZdLdPNyiSJVjH9ahEqtfeCovKoZ765Cuj3H6bS5HgBG47/ExMzBYJgKpDqdu3BhqELxVzvsz5VTBKSxsmJFCL/9VsyWLer7qE8fKwsWKB9/9s9JXJ76CyaDlZNLFpN6z0Sn495rIklevN9+KyYtzeRFcZKgpp8CtQ5oNcjZoSYCwvXeSgqmq5HE1zbp0KFDR12CKsXp119/5fbbb6/6f08QPJn6dPiN2iYxONtRW5bRQHq8apLu3pd7yCn33t5ffUCxwJtvhvHmmxAXJ3lKHAV3ufAgXwU6X+aiknJuMIDNJrBoUSiLFoVqCmPS2gfSt3X2hnka7z17WklJsVWSOQhEhxQBcNoSVdn2AiIivqZNm3E4Kk5Wq8QCpw6e2CwFtmzRZgjq3dtKXJyNvDx5716FaGL876/ydo97KPr9Nwo3dSWmV5+q42q9eJs3G8nKUjcO1PRTbXq+fQmn0yMgdOjQca5BleL0008/yf6/jpqHXgMq+Kgty6hdqH7ssTAnxrHkZJE5c7QzYAXCe+XvszzBVfHw5PHznkvlDklodoZSqKAv8HUuOirn335r5M03Q7G5hMNraadvfeCsvHoa76tXmygrgysbbaRb4na6Jf0NwMUN/qJ+2GnSjknKkitd++bNxkqKf//hOFbUekVeeKG8kmzB1Vsp9ceI22JIuWY6GS/O5eSSxYQ1bU5YZSi6WqVYCr30/I5a51tNe76tVirz2ELdjnkbh7URAVHXCR106NBxdsOnXW3r1q28+uqrVX/v3LmT+++/nx07dgSsYTrkodeA0uENNVmnxJ9aTHKKR3WtolIefxymTjXz8stlDB5cUfUc9XBXsgJZzNifuWg0StevWmX3yGhrpyP9+ebNRmbP9q0PvFGC28Ow8vIE7unwPoOb/kRieC4AvRtuZUL7j5l980bZtq1cqb3umBLsY0UL5fqQIRUsXVpGXJzrN5HGxdy5YfQb052ctsMA+HfWY9jKSp2e5w1SvpojAjPfaqrQaVqaiQsvjKok/9A+X2o6AiIQJRZ0BAZ6ORQd5yo0K07r1q3j9ttvZ+PG6s1SEAQOHz7MzTffzO+//x7QBupwxplevE+HMuxCqqswe/Kk9gK4NVmnROlZaguhumL1ahOTJoXx9NPwwguhjBolCUcgUZv7i0AVM/Z3LnorACvXTqsV5s8P5bzznIXHmTPDmDjRrLnmkESxLQ/XMKw1Ry/BJhoIMUj9ZjJYsYkCyQOb0WJEJ949uZx7f3yMid/O5KW/X2XdsU0IledGJuVw3Sf/odklm+TeFDVjxdcC0ZLnUf7+J04IjHhhDOaohgAcnT8XURRV1ESyt1mO8KIa/sy3YBc6XbXKKLveuMLTfKnJCIhgFAjX4Rt0BVbHuQzNitPLL7/M4MGD+eijj6p+O++88/jqq68YOHAgCzxl5OoICPTifWcfglEAt6as1nLPmj693GMhVCWFwptw1LatjZQUG0qCsBYEwgruz1zUaq1PSzPRoYPkHXAND8vIEHjttVBmz5aK9d55pzoFMyFB+Tu6KnZpRy7HaKiOKbTaDHwc2Y3PyjbStmcHkvJ7s/apSWz631jyDzXh/NuW0evBRajtK09jBbTPD/ucqryb0lMRMXD3xucAKD98iLxvV3vxpNoVJs/999RTZUGbb+Cfxd9qhUceca+95gly47WmIiCCsT7q8A26AqvjXIdmxenAgQMMHz5clgRi+PDh7N69OyAN0+EZNSkU6wg+fPE+qEGwrdZKz3roIbNmhUKNcDRzZhhPPSWvlGlFoPIAfZ2Lap+fmCgyf34oY8eGy+ZtgfP36dnTqnod8NQGV0H5REkyf2R3xGqTto2s6BAyB2VwdGtHrg6dzzszh3JqZ1tO/tWZP9++kV9fvpNGF22nca+tXlohKSH16jn/6jhWfJkf3q5xvHbf0Rjyhs4GIHv5Z5Tu26eoFMfGquu3pCQxaPPNX4v/hg2o+jaOkBsrNRUBEaz1UQ56CJoydAVWhw4f6jhFR0dz6NAhevXq5Xbs6NGjREZ6r0avIzCoa/SuetKu7zgb2RK1MhSqTTRPSBBlk+fVIpDkGHb4MhfVkHjExopMnhzOyZPebVyOifhqWQgrKiQhUa5/5ATlLw9fzYWJ/2ATBVY0bYso5vPnkiHc98GPZGVdDNSvOvf4bxdyeN3Fss/tMDqNjqO/5vMbX6/67fRpuO6T/9Ci7Cp61b+anj2tmMUyPtv7LZtLdzDinTIKj6fwz7LBnPyzc+VHstHqig20unI99ZKzWF4aRdb+8xnc4koyM6XtLTT6NOff/jkNO+0hJLKE0yeS2fv15fy7oWfVsyMSclkTlk7hzY2wVJhJ3vIqN0VPZMiQtm5j2GaDUaO873OBJOhxLSg8b16oWx9rIRTJyFD/bG/zpSbILGpqfdQL9XqGXg5Fhw4fFKcrr7yS//3vf6SkpHDppZdW/b5hwwb+97//cdVVVwW0gTrODOgbjn84m9gSfVWgtQhHI0dWK2WrV5scaK/d2dMcf6tLeYBqKNiVPEyeoEV4vPtuZ1Y4xzlrV+wcmQw3nOzBaXMUCCJFbQrJ2tEOa0kepqg7MZm+xWLp7HT/La/fAUg5Tt4hPSM3V6Dn1VYEg41Xtr7FqZIsOoVew4JnmtD8ks30mfoG655+gOzdbeg2/kOa9/+V3V9dTdbu1tw/8wDrjn3HsaITnN9gAgAXT36bsJjTbH3rJiwlETTr/ys9Jr1LSU4cWTvbERpdxGWz51ESZuL680ZR9PVqfo3M4sXti3k4aiop0clOQqDVSo2xVoL82iqXX6WF/jslRe3T1c2XYJdxqIn1UW09qnMZZ6OBT4cOrdAcqjdlyhSaNWvGf/7zHzp37ky/fv3o3LkzEyZMoEmTJkydOjUY7dRRh6HHPPuPs4Ut0Z8QIq3Ckd3L8/TT5SxdWkZqqvP18fGiG6NaXcsDVAoHS04WiYqy/6VNCGnYUPSZFc5xzjqGYdlhsYVw1/q53PP7E4TWK6Uoo4HbPQWD1ekfgs3tHE/45Rcpl+ud1fs4XHiEMeddz+19emHKbceW128j92BzGnTcQ3SjDFpe9gs7PhvKzmVDMOW0Y2zfS7ip/Sh25e4lpu0/pKbaSDpvH8d+vZATv59P1s52/P7mGPasugJbhTQm2w76gbCYYqb2GE+P5AsZMOYhhq/NJ7LUxvL1b1W1yx7C9dVXJsaMsUjvGmSCHqW11d+QtX798EJ+IUHLfHENC4bAhbwFe33UQ9DU4Wwy8OnQ4Ss0S7T16tXjk08+Yd26dWzdupWCggKio6O56KKLGDBgAAbXYh46zmroBRADg9osfBko+Gux9af+lJLFG+p++Khc2y0WuP56rWHPIqmp1e/tubaTuzcO3OfskCEVTJ9urqSrlnCiJJlQQ5FsC6IanmLQ/2Y5/VacFc/Psx/U9CZ5eQIfrjnKecOMdE48D4NQPT9+nvUQoijQ8sp1ABzb1A2onh/dGnTl/V2fcaDwIE8/3Zm3d7al4+g0Ypsf4+S2Dpz8sxPbPxxV9R0adNpDgiGV+IgYrDYrhJhoPvtZmn05h93N8yn6609+PtbdzetTXWA5OOFpntZWb/Bm8Tca4dlnzdxxR5jbemMfG9Onm5kyxezTfAl0BEKw10c9BE0darJGoA4ddRU+uQIMBgOXXnqpU6iejnMT+oYTONR04ctAIhAKtBrhaPbsckVFSCnPKJDjLhh5fHL3nDfPvRipZ7gLj7NnlzNunFIBWGXB2nXOTpli5v33Qyppq6XrzEX1qCgLIzIp1+na0pw4fnj0v1V/dxj1NfWbHtf4LgACofWKKT8dhWgzgNF9foRGlQAQGx7Nyw5KudFgJCokktKKUkYMqcCSdgvvrP+Z+M5badLzD0SbQOb289j61s3EhsbRpFUR+YZs7vv5EecmtJUU139f/x+Pf/cqJ4obOh3OzxcQRRg61EybNiJ9+ljp3Ttwirm3tdUT1Fj8hw61yq43qan+rTeBDHlznRuLF5c5FMKWEIj1UQ9BU4ezwcCnQ4e/8ElxSk9PZ+3atZSWlmJzKXkvCALPPPNMQBonh5kzZ2I2m3nuueeC9gwd6qFvOIFFsHMFgoVAKdCelMcRIyyVQlP1cxISbDz/fDnDhgVfqQxGHp/SPbt103a/uDiRF16obkdamomZM+1FTZ0RGyvKFG51h33OGo0wZ44kLEG1sHRia2dSLtiBMawXFktbRDEMW0UIeQebVd3DXBQld2sHh5cNROndjWFlTqdYSiIwRRazaZOBvn2lfWbIkAo69f2Xv/82cKgghD3Ad+szSYqKq7rOarNSbCkhKkR69oghIQwbeCWbN1/Dgcws/q3Yganrd1z42of8t9+dzP8jnDBjS0a0HuzWzOy0VRhtp/js8klclvYxZlu1Qmv/DqtWSb998klgczp9WzNFDAbo3l2dsSDQ600gIxCU5sbs2eUkJIgBXR/1EDT1OJMNfDp0BAKaFaelS5cyd+5cwsLCiI+Pd6Mll6MpDwRsNhsvvvgin376KSNGjAjKM3Roh77hBB51jS1RDQKpQA8ZUsHQoTZ27Ihi//4yEhNt5OQIjB/vbsXOyTEwblw4kyaZmTXL/+K4SlCyop84ITB2bLhPYU2eLPOrVoXIX+SCevVEJk50frbSfe3ayrhxFubPD3M96AbHOSsnLO368hoadd/G+Xdt5tdXvke0Om8nhhAzUQ2yZe4sYimNACAyIY+S7AQAEtsfcDora3dr2g39gZ25e+hLG+lKUeSjvZ+RFJvIdRdexdO/wp9Zf3FVVHX0w++Zf2ETbbSq35yc0jwW/PEao9oMpU+fLvQhHujPou2HOFWajdEIbWJbsiXzTxLCktj2e1SVQH488QuOpyZziTmSeiElPHXRfB7+7VHF7xVoEgHf1kwBmw22bDG6EVrYlaPUVBg0qPqKQK43gTKgeJob48dL33jkyMAJ6HoImjacqQY+HToCAc2K0wcffMDQoUOZM2cOoaFaw0l8w4EDB3jsscf4999/SU1NrZFn6lAHfcPRAYFXoI1GGDAAuna1Ul5uo1u3KI+5Hq++GsoFF9iC4nnynGsi/T13bhjvvx/CnDnqLK5qLPOSd0fumQAi9eqJ7N5djOMy7K2tgiDy4YchpKTYOHlS25y1C0sLF4by6qshFB5txK+v3EH3e97nyuee4dBPfSg42gjBYCOh7QFaXPoL4bGF7Fl1pUMLpP4/+WdHuG0Z3cZ/yJ5VVxKZkEeH0V9jKQmvOjfjj85k723J7rYfs/H4VSRGJPDbyT/ILD7Fze1HkRLVkIuTu5F26DvMNjOtY1tyrOgEXx/6nraxreiQ0A6DYCAurD7L9n5FWUU5SRHx/Hv6GP/k7OaqZpKydVnTfmw48gcTP17Cji+uxFwURZNeW2l5eTqR+4Zz808vsfLqcfRJ3srQpt+z6siVyCHQOZ3e1lZPcDRQyHluGjeGOXOMDByojbhDy3N9Pa828mb1EDTtOBMNfDp0BAKaA6izs7MZPXp0jSlNAJs3b6ZVq1akpaXRuHHjGnuuDu+oqQKIZxPOxgKL3btbMRgkYV8eIgaDqDqEyBHeC5lKuTcPPxwc1iu1hVS1sEiqKehZLby5flPp75deKq9Smuxjau7cUK/3zcgwcOutvrHCrV5tYt68UIqLpfsf/+1CfnzkOgr3bKblZT/Re+ob9H7wTRp138bRTd1YM3UWOz4ZXnV9bKzI0qVlLHyqPr++ejtRSTn0ffg12gxcy++LxlCaV10HSkBg/zsTuSilE2kHv+PNv98lqzSbyeePo3lMUwDGnHcdg1pcwZaTf/LatqWsP/YLlzbuy8SuYzEI0vY2vvPtnBffjrSDa3jlr7fYcHwzA1tcycAWVwCw8fsEvnpgGvnHE+g27iP6THuN+FaH+f3NMbw74ypyy+OYtFEqjvvw+W/QOuaQ7Le1f99AFWL1tLZ6g91AocTKd/w43HFHWMAZTwNhQKnJYreOUGK4rGtMnDp06KhdaF41O3TowL59+7j4YvnChsHALbfcUmPP0qEdesyzO5RIBHzJkzkTCgtv2WLEZvOkWMiHEKmBWit2To4hKCQk6nNNBECdNVztPSdMsLBqlamSmEFCSoro5NmSr/PjGS1b2jTPWSVPQFluNEe+2UbWu8+71XGSICIWxRH17f8Yd6WVuDhpDBsMXZk6tQd5edXtXjP1CaBaUXjycQNDzhvJzYysasPmzUb+rpoLcE3zy7mm+eWK71o/LJpbO1wve8z+TkWZ4Wz+33i344IgIggi23I7sHjXTYw/72PeGfAQ13zzHkUVCvlbBC6nU2ltVSL4cPQWevbcgCAQcM9NICIQ/PVa+bNe6iFoOnTo8AbNitOjjz7KAw88QGRkJF27diUiIsLtHC3hdMeOHePyy5U3vU2bNhEfH6+1mV5hMvlPm240Gpz+ey5j+HAbQ4eWsmmToWrD6dXLVrnh1P73qcm+WrXKyCOPhLopR6NGVfDKKyGKbFPvvFPO0KFWVfd69lmz27m1iexsdd81O9uAyeTdKu3YX1qic9XeXwsOH1Y/Zuw5HFu2mKoIDeSg9p2GDLEyZ45FcV6tWmXkrrvCZPKZPCM1Ffr21TZnN282+MDyJgn4paUC77wTyjvv2J8vjeG9e0t54YUQ3njD5FKIV+Tpp80kJMBXX4XQsKFITo7AY48Fdi54eyfJ8ye9x3v7RzIgdRNt6h/m9b6PcuvPL6LkFUlNVd5jrFYUvrk8XNfWAwcEnn8+FEeiDqhWNp991kxYmIGNG72/m+NY1douOZhMyjTnru1Tgtq5IfeNA7FemkxwySWO3vPa2790GePMgt5fZw786itRIzp06CC2b99ebNeundi+fXvZf1pgNpvF/fv3K/6rqKhwOn/MmDHiww8/rLXZTrDZbH5dr0OHEpYvF0VBEEXJplv9T+431+NNmoii43D3dC9B+H979x3eVPX/Afx9kzSdtE1LKS1772UBgTKdoIACbkQLCDIUlM1PRBQUvzKcbMHBEmVTlrgFKSAqiGwos6WUDkp3k9zfHyFp02bcrCZp36/n4dFm3Htyz83N+dxzzufonhdF3Xt+/lkU163T/bfUV6Zc/Pyz5c+n//fzz7ZvW60WxYgI123fEnN1YO3funXWP1PNmua3bep8MLcNW8olCLr3/PCD7efLunWmt+njc1yMjo4WfXyO21wWc+fwd99J+2ylvwu2MveZSv977TVdeQIV2eL+/gPF/f0HikMbb7C53jZtKvu5ata0vfymtlOrlvF2pH62deucVy5bymeOvd8NqddLIiJHCKKou58m1ebNm61mznNl1rshQ4agRo0aDqUj12i0yMrKc7gscrkMwcH+yMrKg0bj3Em25FzlUVcaDdCmjf/dITX2DdXZvj3PcPfX0rYEQTTclTd1F/7ddwuNUvbac/fYFvryWhqiEx0t4p9/8iSVo3R9bdsmx9Ch+kxwppMl1KghfftSOFKf+nq0ZMcOOeLidJ/J1J15Uz2QJe3fL0P//mV7/M3R9QAAKpXxoq1S78ib25+Pz7+IiOiN1NQ9KCpqhdmzC7BwoRIZGYDl42a6zvTHRffLJG14mi3nlpTPVNr27Xno3FmLgwdl+GPbNfRN1a1V9eqBt/F3WktDOQDT9abRAAsWKPD++/q5wbbXd2nWeoikfrZp0wrwv/8pyxxve8sltXyW2PrdkHq9dOb1oTywjeFdWF/eo3RdBQf7S+59sjlwcjdnBU7p6TkOl0WhkEGlCkRGRg7Uan5JPFl51NWBA3IMGBDg0DZef70AU6YUIiFB6rb0X9/SDUzjx6KitBgypAj162tdNm5fPxEdMN3YsWWCtan6evttJRYtUqJsw0iEINi2fSnsq08RoaG6yeRSFkN1ZG2ozZsVGDVKeuCkUmlLBEy2149GAzRvHnh3GyXfnweF4jzU6gaIivLDp5/mY9Ag6cdty5Zcw7w0jQaIiQm0K1gtuR2p9PuzNifn6NEco7r8bdEBVP97BQDgsb0rkFYQZrbe4uMVeOMNXyQnm/9RNrcfR0j5bNWr6+q+5OLGri6XVLZ8N6R+V+05R9yJbQzvwvryHqXrKiwsUHLgJGmO09atW9GjRw+oVCps3brV6usff/xxSTsnqkicMSH8ww99sWGDD/r1K7LhXaZSZBvfD0lOFvDBB8Vr9zi6cKsprk4S8tZbhWjXToupU32RllZ6Poz92zc3mdz2+tT1iGRmChg0KEDSMTY1Gb1DBw2OHNFlXbQU5ErNYDZhQgG6dNHg1Vf1qb7tS/G8e7fCqKeq+P3+d5NCiJgzJx+pqfanzra2DpDU7Uhlbxrq7mNjce2zo8j95y9s6TMWaUOWoVMXoczrzK+pZUzq+ka2sPzZdP8dMqTI6LpQHuWSypZEDVyInYjKi6TAadq0afj222+hUqkwbdo0i68VBIGBE1VKzlrkNzlZwLJlUtP9W0rRbf5vZy/WqefqrFT9+6vx6KPO276lu9qO1qfUY1xyPZT4eAU6dgyUdJddagazyZN1PZiWejysNZD1GdrubrlU+a8jKGgR5PIx6NMnxOY00SWPsyMNW0v1ZSnTmr0Bf/TLo3B+9EjItIVocH4V5N2Gl9mn+TW1THN2w75PHzUmTy7E8uU+yMws3nbNmrqgKi9P2jnuroBD6lpBXIidiMqLpMDpxx9/REREhOH/3Wn16tVu3T+ROdYXrCz5o22+IaLvARAEEVqt5dfay1ULSQKuXxjR3PZtTUNsrjdAH/CsWJFvNTAJCxOhVgO3b5cd6mTrMbZWntIBmC29JY7ekbfUEySTpSMw8Cukpj6LhIQwGxZuLZua2p6GrbUU11KGfNkT8Mt8lKj3/jwkTpuMrAO/I7BVa1Rp38HwvD29Z85s2Jv63KGhWowapcacOUpkZWnw66/SzgtPDzi4EHvl5g1LdlDFIemqXqNGDcOCtzNnzsSVK1dQo0YNs/+IKiNriwELAjB2bCGio603QkRRMKyLZOvil1K5aiFJd4iPVyAmJhADBgRg1Ch/DBgQgJiYQLMLfFpe40b398yZvnjnHcuLOw8fXoTbtx1frFNKeWbMKLvAr9RFOx29I29L4FXye1B6yKgxAfn5uiGAevoGsPlz3nQ9mFuw19wCsKYWK9YH5AMHqhEbW7bhZWrhap+qEYge97pum0sXofDGDaNjIZUueYHWqGHvyELZ5j737dsC/vc/H2zbpvvb2vE2VS5P9fzzRXe/P7adI+TdbL32O0tFXMiepLF5MPlff/1lNaseUWVlrSH71luFOHo0BxMmFJjZgrGRI4vKbMvZvH3cvy2NY73i3gDLAU94uGixPuvXlzYB2NoxlloeUwFY375qHD2agy1bcrF0aR62bMnF0aM5Rr1TjjaQbQ289N8DazcJMjON68jSzQdTQVjpALEka8GoKAKTJ/ti40brDR9LjbOg1m0Qev+DAIBLM6ZBW1BgdCysK9uwd6QxKCUIf+013eus3ewpXS5PpD9WurlaZXt+LZ0j5N3sufY7a7+mvp87dnjwF4WcxubAqVu3bti+fTuKimyZvE5UeVhryMrlQLdu0m5P9emjtinQ0rEt0PL0YTiW2NtTY0sPiqX6dNbcCkeH0lnrLXG0gWy9JwiIiDAOvPTHbePGXISGamHqvDRVR+ZuPoSHi1i+PN9kPZi6+2stGAUEpKXJMGaM5cBESuMs4ulnIQ8JBQBc/+RDiKIo6ZgBuuQmJRv2jjYGpQThV6/qUoUD0nstPZG5Y6U710RMmVJQ5iYCVQz2XvsdZen7GRfni82bnbs/8jw2h+O+vr7Yvn07du/ejQYNGiAgwDgFqCAI+Oqrr5xWQCJvZG2ejy1j8vWB1sKFtpTA9Jo3pV8THe3d4/6tzSMxl/TA1oDHXH126KCBTGZpLpoImUz3Oin7kVoeeziS9dDSfCqtNgzZ2SMwZ06wyYBNLgcyM22ro7591dBqYZRBMS1NhlmzfDFnTgEGDiwuq7k5TLY2lk3NJbPWOCs5h63OrHdw8fVxyDtzGpk//QDV/Q+aPWb6IPKZZ4owf34B7o6Et2l/5oJcqUF4crKAAweK54UcPpyDI0fcO0/ElrkqlpNv6I7VmjU+GDeukPNfKiB7r/2OkPL9fO014K+/nLI78lA29zjduHED7dq1Q8uWLeHv7w9RFI3+abXMXU9kja09AFLmfqhUWmzcmItJkwohNaGEpw/Dscbenhopx1PK3I4jR+R356KZ79XQagUcOWL5IJfXXBMpw/osvddUz0T16lH44otZeP75aibfZ08dxccrMGKEH9LSLPe6WLr7u3y5j6T96pm6S23LEEpFlWDUmj4DAJC6fi3yLyWaPWb6IWXffKNEx47FPV2ODNnUkxpc/9//KY2GGnXsqFujy1yvpavZOjxR6rFq06b857+Q67kjBb2tvblUMdl89WBWOyLbmLuLaksPgJQMagsWFKB7dw1u3ZL2QxEYqBsK6M3s7amxdDx1BOTmiti9W2ExqHDWj7e96wnZw5GshyWzzyUnC0hLExAamoO0tETcuVMb/v5lF+S1tY6k9ro89JDaylAdETKZCFGEyV5dU0rfpba1fv0bNETVJ5/Gre824Mqct9Hgo8/Qt28Q+vRR48MPlfjgA/0yA8XbLdnTVVgoaXcWyyUtu6dgNih1x/A8WzNKAtK/e570Ocl53JGCnuuFEWBjj9Px48exe/dunDx50lXlIapQrN1FtaUHwNkZ1HJyBJdl1CuvjEOO9NToj2doqOn3ZmYKGDbM8pwSZ/54e8tcE7kcyMgQMGeOL9580w8TJiRh1qzH0LlzssljZWsdSe1J+OILH6tzmLRaXRIIWzNT6hs+9tSv6qHe8GvQEABwefYsiHdHYaxZo+8BMz8fo2pVx88n6Qk2ym9eiCX2zlWR3iD2jM9pK40G2L9fhvXrdf/VaJjJrSR3ZITkemEESOxxysrKwssvv4x//vkHoihCEAS0a9cOCxYsQFRUlKvLSOSVpN5FtaUHQMp6M506aRAaqrU4r0TP0p0xe9fGkLJujrM42lPTp48aEyb4wvScMF2vxaRJ5ueUOHv9mD591AgOFnHggByCoDsvunRxfNiUM9c5MXdep6YWn9elz9F33inAiBHS6kjq3dpLl6Td93v55ULs2OFjIoGAefqGjz31KwgCar4+CedfGQV12i3c2rwRZ6OelTQfQxDglPPJXG92eLhomDNmqRzOnBdijb1zVaSvFyZ9m56i7DXUHyqVLgDPyHD9ddUblGcvvZ6U60HNmgI6d9aWuT5SxSHpl+ejjz7CyZMn8eqrr2L58uWYOnUqLl68iJkzZ7q6fEReyZUZf6RkUBs5UlrWy4sXZSbvYtqbDtkd6WEd6an54w/53QDTfK9FeroMf/xh+tfXmemc9cf8iScC8OGHvli40BevvupntM6RPZy5zom1CfkAMGmSL+65x3h/M2f6YsyYQkl1JPVubd260ubT9u6tMfTqLl6ch/Bw0xn+gLJ3qe2tX5mfH+q88x4AIGPPLuScOCGprKmpgtPOJ1O92bNnS8vOWZ5Djewd/mRr6npH9l2ezF1DMzIEZGSUb9ptT+fMXnopvXlSrgcffQSvnjdM1gmiaD0u7tWrF+Li4vDiiy8aHtu9ezcmTZqEI0eOlMms5+k0Gi3S03Mc3o5CIYNKFYiMjByo1UyK4cnKu64OHJBjwADr34stW3JdcsdTowGaNw+8+0NrrnGg++qrVKLRXUyVSlviB7rsXTxL6+bExATe/cE3f7f86NEcqz8s9tSXPb0q77+vxMKFvla3PWFCAaZNMz8BxdFeNuNeHOnH3NHtrliRj/BwUfIxM3Ve+/j8i4iI3khN3YOiolZ3HzXuwbNlf/rzyFqvy+HDOejY0frrSp5v8fEKTJzoa3S+ly6jqWNtb/1mHUrAjRVLAQCD9i1FSl6E2dcCxdcDV/Xauvu6ZIqjZTJ1rMLDtRZ71qxt012sXUNNseW6WlE52qNu6/fN3Ovnzi3ECy/4sU3oBUq3McLCAiGXSxvFIOk2RWpqKlq0aGH02L333guNRoPk5GQ0aNDA9lITVWDunkQql+uSRegazeZSk+uGopW+i2kqaAJMp0Mu+YOVmiq4JT2sIz+YUodTWHudlCGU5khJhvDGG74ICRGRmip929Z7PUWMHOl3NyugjrXGuanzVRTl0GjCIIolC2T6c8yc6Wu1gSd1CI5SadtQHXNDDPVUKhHz55v+7PbWb/C9nZBz/B/cOZSATQ+OQq/49SjSKsu8rvQQPEfOJ0uKhxrJTB4HW4eWOoOjw11NHasOHTSSgmpPW4rB2rBFUzx92GF5cCThjT2JScx9P319mU2vMpAUOKnVaiiVxhf7kJAQAEBBgS0LcxJVDp4wibRvXzUmTy7EBx9Y6lExF1CZVvJHOiNDKHPXTQpnBYu23iUsLAS++MIHly7JULeuFkOHFiE2VoMPP7S+Lyk/yvb+eEuZ45GcLGDQoOK78lJ6H6w3wgSUXj3CWsYxU+erWt0cKSn/WthP8eeQ2sCTmnFS6ussDzEEABGCADz0kNpsMG5v/VYf+hLuHDkMaLV4o92nePuvCZLmYzjSGDRHLgfmzi1EXFz5zQuRUiZH56qYOlblPf/FGRy5NnrisENP58i6aa74fpJ3cDg8ljDSj6jScUfGH1Pq13fNcIHdu02Pw5fCGcGirXOp3n5bidq1g/Dmm35YuVKJN9/0Q+3aQfjxR/ndSdeW18dy5Q+kPQ0eKXMb7Nmutfl31te/sk5quaRmnCz5usWL8zB7dj5mzCiASiVKXo9Jl55bhqZNA9G8uXPX/REUCtR7fz4A4IEaf+DJFr8ZPV/eWRP79dNg40Z4VPZGV2SU9JYslSU5cm28eJG9HbZyxrppVPk4PKNQEHiXg6g0d2T8McVVPVqbNiks3r23NMfJ0WDR1ruEb7+txKJFZYdHabXAkiVK9O6txp49ChPlLl4fy5X1ZE8dWbsbau929ds21zNk6rxWKM4gLGwY0tNXQq1uanX7tpRL6l3dkinSTfVASl0fKTu77HnrjHV/fMLCUGPCZFxfOA/j6n+C5ydGI6mgptOG4Nlq4ECge/c87N8vOHUooCNcMTzRVUMeXcX+TIEi1qzxweuvF3rsZ/NE7h5ST95JUnKIpk2bonnz5ggKCjI8Jooijhw5ghYtWiAwMLB4g4KAr776yjWldRImh6h83FVX8fEKvPGGL5KTixtzUVFavPtu+aSQtTbR3laCICI8XMStW7bd3bQ1yYGl+rJlMnmHDhrUrh10d0ia6SBPJgOWLs3HW2+5p54crSNzE9wd3e7SpXkYOND0Zy85TFKfHALYhby8VsjMlJ6swVmsJcGwPmTVMmeV/dbmjUjfFQ8AaPjZEsj8yi4Y7Gr83fJs+nMZkL5ws56nJbvwdM5OlsLvlvdwJDmEpFd16NABgYGBEEXR8E//eEBAgNHj2tKD5onIbayn7DU/RK30c/r3DxokLdV5Sc4cHmPLXcIvvvC5m/zA8iKpKSkC/vrLeFjYkSM5UKlEly82qa8j3WXV9l4ic8ejZN3bs11LPUMlh8fNmKHbxzffFGDBAuek0raFlNT/a9b4ICrK/iGGzhqyE/74QPhEVAMAXFswj0PdqQxzQwylYM+IbTxlSD15F0lD9VavXu3qchBVOOay9dy44fjQH1uYm0CvS0MumBxKKIpAYCCQU6JjVj/hXqUSsWyZ9f3Onp2PiAjR6cNjbEm8ceSItJ1euiQzGhYWH69Ax46B5bKIL6CroylT7OsVsRbgrFyZjwkTfJGZaVt6Y2uNBf3xiojQYtkyQCaTnqzBmaQuoDplSgHmzVPC3FBSKRxtmAoyGWq/MRMXXnsF+YkXkbF3N8J6P+LQNsk8U4k+AOctBu0q+iGGR44okJ3tj8TEArzxhvVrgyuTDVVEnjKknrxL5Vw1jcjFHMnW4wrmxvrv3q0o08gVBF0Z9UFTaKgWI0cWGcbPazSQlD74pZeKXPLZOnXSlFhryvJcqhMnpHW9l1xM1Z70tM5gayIPqQFO375qhISIRln5zHO8sWDrvBJHU8pLDWbq19di5cp8TJ7si7Q0+wIgZzRM5UFBqD1jFq7MmYVbG7+Ff8NG8G/YyOHtkjFTWTd1iWBgtI6XK2+IOEIuB7p21UKlAm7dUmPRIh+vS6/uDdxxs4e8m6Q5ThUN5zhVPpVtAVxb6Buuu3crsHy5z91HLS/Cam4cvqMLtupZqq/4eAWGDfMrU04d3f5XrdLtv7AQkuY4XbmSDaXSuYv42krqOaMvByD9OEud72TPvK78/FxcuHAKDRo0g5+fbYuhO2OhV1u/a4WFQJs2gXeDJ/ctMpr584+4uVY3mqP+wk+gCA52zoatqAy/W+bmvBUPWXX+NcsVStbV1q0yl15zKztHb+AAleO7VVG4fI4TEdnGm7L1yOW6XpzilMum54mUTFHtrlS/+p48U+XUU6lE9Omj279SCYwerU+pZmqOl+55/TJ17kxPa0uqb1uPs5S5blOmFOCvv8qm+7YmKCgIPXv2NEoeJIU+AJaaUt4cW+cpKJXAvHkFEASp8/50Q1edPWQnpOd9CGimW1j+8ltvQOT8YKewvGZX2WDZWgp+T+GN6dW9iX7o8cCBasTGet7wTfIcDJyIXMATFsC1hT0Bg9R1dsqznICAjAzjcr71ViHGji2ErNTVTiYDxo4txFtvFeeqdmfAaym40f0t4uWXC+w+zuYaXtHRIlatysekSfalMk5NvYkFCxYgNfWm5PdoNMDEiaYDYFsbstaPW9mgx9yxCAsTERhY+jspQKVy/vdUEAREvzIOAKC5cwc3v1nn9H1URtavEWV5y3o97rjmEpExznEicgFr63F42ph0ewOG8l493d5yvvVWIaZPL8QXX/jg0iUZ6tbVYujQIkNPk567A15Xj7d3xbo2qampWLhwITp16gaVqqqk93z4odJonklpltaSMsWe42bqWKSlCRgxwg+lE0hkZrpmfpvM1xd13/0fLr0xFbd/+gGBLVoiqE1bp22/MnLkpoYnjACwpryvuURkjIETkQt4W7YedwcMUjlSTqUSePnlsqnUS45tr1pVRFSUFjduuC/gdfWine5ueGk0KDGXzrKSDVlrcxDsOW4lj4V+Hpj5tOYiJk/2RX4+DOeAM+pEGRmJqNGvIHnJZ0j69CPUmzsPPhERjm+4knLkGuXu65slzpiDQ0SOY+BE5CLelK3HW3rInF1Oc5m3RBFuDXj18870DaWEBHmFaSglJMiRmSltlLi+ISs1iYS1oNBS49NaWnNAQFqagDFj/M3u315VYtojp1sPZP3+KxKnT0bDJcsh81Faf6MZ3tDIdlUZrV0jTPGU65s5O3bIMX26f7ktj0BE5nGOE5ELecuYdHvmibiDM8upz7xVOjmBfr2j0FD3TcKOj1cgJiYQAwYEYNQofwwYEICYmEDJCRM8mdThUKGhWkPSElP1ZGsSCWvH1NZhWrbu35rI51+AzE+XNS156WK7t+MN544ry2jrot+edH0zZfNmIC7O1+Hzn4icg4ETkYt5S7Yeb8na5IxyWl9nC/DzAzZtKv+A11mBQnkJDg7GwIEDESwxnbbU4VAjR+qGVVqqJ/3z1pJImDumSUkChg3zw/z5SkRE2DZMy9nZ2AS5HHXnvA8AyDn2D27//qvN2/CGc6c8ymgp+UfpRB+edn0rSaMBxo+Hw+c/ETkP13FyAHP2ew/WlXSeMMxHSn05Uk5PXWfLnetImSuPtWNs63fL+ppSIsLCRPz3Xw4SEhyvJ2vHVK96dS0KCnQ9jlKHeEnZv61yz57BtQ/mAgDqvPUOfGvVlvQ+qefOX3/l4dSpQJw/n4+qVbXl+v0u7/Pb1PkLuP/6JlVCggL9+/tbfZ0nrAdIbGd4E0fWcXL/7Sci8ijuTh4glSPldFbacWcHmdbm2VjKNufsskidV1RQUIDExJvw9w+BXG496YOlxCmACEEA5s/XDZtyRj1Zn7ukc+OG8Xw2W4InZ2ZjC2jcBOGPDUDati24/PZMNPhkEeQBgVbfJ/XcadHCH2lpAKAbFliec2UcOb/tYe4a4Q3XN8C71gMkqiw4VI+IKh1nZBF0xTwNextKzi6LLcOpLlw4j65du+LChfOSt29pTamSw6acUU/SG5W6IZoqlYjq1W0biOHsbGxhfftDWbMWAODq/96DlIEhUj9nWpr7hvExELCNt2Q7JapMGDgRUaWjz7xVdvK4jiCIiI7Wms2y5ap5GvY0lOwpi0ajG664ebMCBw7IjeZIWJv/BThnXoWUxCn6eio9oV/PWj0BtjUqRVG3gPKnn+Zjy5ZcLF6ch/Bw+88TewmCgFpTpgMACq9fR3r8dqvvkf453TdXhoGAbTp31qJmTVNJLnRcdf4RkXkMnIio0nEkO58rAwtbAzp7ymKtd6p4OJXpu/664VQyJCToDo727lD+H3+UlQnCrLGWOEUuBwYMKLv21t2SALCeDc3aMTXl1i0BsbEaPPGEGvPmuSfbpDwgAHXemg0ASNu2BblnTlt8vT2fU690nbqK1PO7QweN2cC+MpHLgY8/1v2/J2c7JapMGDgRUaVkb3Y+WwMLW9ga0NlaFim9U7YMp4qPV+CZZ3zvlsvX6amv4+MVWLzY/HpGY8YUWp2bU/KYmuu5Kq1kj4c7s0361qqFyLhhAIBr896HOjPT7Gutp+G2ztVD5KSc3wMGFKFjR89Op16eBg4EvvyywOOznRJVFgyciKjSsmedLVfP07CloW5LWaT2TklNy33xogzDh/shNdU1c2YslRcABAHYssVHUm+EuWNadpumhz65cz22kK7dEdi2HQAg8Y2pENXm9yn1c5pTHkPkLJ3fY8YUYvFipVOGwFoajupt+vXTeMV6gESVAdORO4CpJ70H68q7eHJ9lVcqcylZ8mwpCwBJr924MRcjRvghI8NyymhR1DVoXZVW2hXHWaMBPvxQiQ8+0PdiGWfSA+CRd/G1RYU4P3okACC4azdUjxtu8fX6c+e33+T48ENfCXsQER1dfmnugbLnd4cOGnTs6JxU5VIzQno6T74OUlmsL+/hSDpy9jgREdnA0cQSUklZONmWskjtndq3T343aDJFFzA9/3wRkpNdM1xRzxU9e3I5MGlSIVatykd0tGuGPrmip0Pmo0S99+cBALL2/447R49YfL3+3GnSRHrjrbznypQ+v48ccc4QWGcnbqlIPVdE5DgGTkRENnAksYQ7yyJ1GNbGjfq1mEw3YFUqEXXrFjfI5fLzqFq1H+TysunIHZkz48oMbI4MvbPUkHZFino9n6oRiB73GgAgeckiFN64YfU9Uo/NlCnW54q5mjMCZWcnbnFlfTobAzyi8sHAiYjIRu5MGGBvWaT0ToWHa5GWZv6uP6BL111yLSCZLA9K5V+QyfLKvNqROTOu7tmT0qNXmqWGtKtS1JcU1LotQu9/EABwacY0aAsKLL7eeqY93TF8/fVCh8vmKGcEys5M3OJIfZZ3EONNAR6Rt2PgRERkhamGkDsTBpQmpSxSeqcGDZJW9vBw0WqDXKVybLiiJ/XsAZYb0sOG+WHiRNevfQUAEU8/C3lICADg+qcfQRRFiGq1yaQR1o6hIHhOOmtnBMrOGt7pSM9VeQcx5RGwE1ExBk5E5HQVadiIpYaQPb0WriKlLNZ6p/r0kRY4RUWJmDOn4G7D0nRDNyNDwO7djjXaPKVnT0pDOiPDtXO+9ASZDHVm6dZ3yjt9CkmLPsGFia/h4rRJJnugzB3D6GjPSmftjEDZWcM77e25Ku8gprwWqyaiYrwVQUROVVEyWgHFDaHSuUf1DSFPanhK1bevGn36qE1m7NNodHWVnCwYGl4l6TOb6e/6q1QisrNN7UWAIIiYMcMXffqoHQooLZW3vBQ3pM1xbYr60gquXIGyRk0UXr+GnH/+Njyed+E8Apu3KPP6ksfw1i0ZGjb0Q8uWeRBFz8r8pQ/ydNeP4mOlD9Stfdf0vVZSz19z7Om5shbEOOv7UJK181IX4AlISJA7lOGTiIoxcCIip6lIgYY7GkLlRd87ZerxOXMKMHy4HwRBNGp8lr7rf+CAHBkZMghCLWRkfAK1uqbRtpzZaDNX3vLirIDHWeskpe3YhsLr14wflMmQe+qkycAJKD6GCoUIlQrIyAAsLAnlNo4Eyracv5bY03PljiDG1WvKEVFZHKpHRE5R0YaNOHOiuTeROjxO3xgTRRXy8gZBFFUmt1cRGm3SAx7Xpqg3lGdIHHxr1zF+UKtF7n8nnLJ9d3NkCKwzhnfaM9/KHUGMKzNPEpFp7HEiIqeoaMNGKvPdXCl3/fWNMZksDX5+O5Cf3w9abXiZbVWERpuUIWChoSIyMwXo1rqyr6dDKt8aNVD7jZnI+H4vbm3dBIgioNWi4OoVaHJzIQ+wvnBwRebo8E57eq7cEcQ4a2giEUnHHicicoqKFmhU9ru51u766xttcvl1hIa+Abk8yeh5Z/eyuJOUxAULFhSUayILQS5HWJ9HUHfW7OLeJ1FE3tkzTt2PNZ6aCMbRxC229lyV18LYJXla5kmiyoA9TkTkFBUt0ODdXMv0jbaXXy77XEVstElNXFDeiSyUUdGo/X9vIvOHfUjfvRMyf3/X7ayUipQIxhRbeq6cNb/KnjI6klCDiGwjiGLpadwVn0ajRXp6jsPbUShkUKkCkZGRA7Xas7ITkTHWletpNEBMTKDVQOPo0RyrjQdPqS99sgsAJhtC3pTswlU+//wMPvvsMaSm7kFRUSsAFavxXJpGA7dm+LNE1GohyCwPJHHWd8s4EUzF+27YW8/ODCZtqStPPi8rC0/53SLrStdVWFgg5HJpg/AYODmAXxLvwboqH84KNDypvir6XXVHnT17Ck89NQD/939boVC0ZKPNwznju6W/SaLr4XDsJokncvQ776wgxpOug2Qd68t7OBI4cageUQXkjruPGo1uXZ+RIwuxcaMP0tIqxrART1hHyJMFBgaiR48eiI0NQI0a3le/ZLuKlgimJGcsqeDu9PlE5DoMnIgqGHf0kJjaZ3i4FoMG6YIOTwg0HAkm2RAyr06duli3bp3H3mW1t9459Mm8ipYIRs/6kgreu3YbETkHAyeiCsQdC9Ca22d6uoAVK3xMNjhNNUqB4seio4FHHnFuGSvrcDtXBwAajQZ37tyBRiPC3JpX7mJvvVfm80WKipYIRs9aTxrgvT1pROQcTEdOVEG4YwFae/YZH69ATEwgBgwIwKhR/hgwIADNmweiefPix/r390fdusCOHY638PWBXcmMU0BxMBkf7977R65M52zqWMfEBDr1M585cxpNmzbFmTOnnbZNZ7C33j39fHEme889a6m3AREqlfelok9Olhb4S30dEVU8DJyIKojiu6Wmf9R18w5kSEhwXneDrfs01yjNyBCQkWH82PXrQFycr0MNVXcEk7awJbCxtZFbmQKA0uytd08/X5xpxw653UG1PvW27jiZDp4yMgTs3u36c8yZ+a1Kzst0xuvIdSphXjPyEBX3l5OoknHHvANb9mmpUWoq8BJFQBDg0JwCT57EbsuwSluHjlkLAAShYs/VsLfe7X2ft82H2rxZd1PC1Ln39aUl2P3TOcNjAgQo5T6IDIhAx+ox6F6jM+QyOfr0UaPvohlIOdEYR5a8WGoP5s+xN/+Yi0ah9fFC86cd+gy5RXn47tw2dInqiEaq+g5tSy88XERARBoe/XSG0eOiVoCmUIk7SdVw/vueCA9vZ/c+9OfK3xlHcCrgG7x17zRUCwzDzovfY9elH7Dovg8c/RhOk5aXjpkH3zf7fFRgJGbcO7EcSwRk5Gdi/ZnNeLrx4wj3DwPgvHOKSAoGTl7G236gqfy4Y96BLfu0Pn+gLEcDG0+dxG5LYLN7t+3z1jw5YCwP9ta7Pe/ztvlQGg0wfjws9qplX6uFN/v1h1wGaEURuepc/Jd2BpvO7cCFzEQMazkYCQk+2D9vFIry/Ezux9Xn2LXsJBy+8Rc6R3Vw2jajooq/ZCc390HyXy11fwiAj38+6vU6gA6jViNbkQego83bL3mu1OmhRMfRQL++AXhzogKxD3RE8/AmTvokztW77v1oGd60zONKubLcy3I64zz+SzMeFjyy1Qvwk5s+D4mcjYGTF/G2H2gqX/p5B9YWoHXmvANb9rltm/2XG3sDG0+dxC41sPnjD7ldPUeeGjCWF3vr3db3uSMZi6MOHpTh2jXA7PBaALlZfkg5Wd8o4GlVtTkiAyKw8dx2/JnyD1JSOiLzUi2r+/Omc6xTJw0iq+kyQ2anRCD9vHFPVsq/TVC1wTVcrvMrbA2czJ0rN2/qz5Wq6Ns31IHSu05V/3DUC6nj7mKYVatKDXcXgSoRBk5ewht/oKl86ecdDB/uB0EQTS5AO2dOgVN7KG3ZpyPBib3vdUcwKYXUxuSBA/b1HEk9XhcvOj7NtVGjxjh+/Dg0Gs/p+ra33m15n7cOh3QkqO5Rswt+uPIr9l9PwL2RHfDIp28g9WTxUL2AiDS0eHIHIluehm/wHRTmBOCCqgmyi/oiyCfQsB2NqMG3Z7fh8I2/AIhoXbUFBjR8FFWUQYbXnM9MxI6Le3A56xp8ZAq0qtrc8JqzGRfw8d/LAAAf/70MjULr47V7RgEAjqX+hz2XfkBSTgr8FX6IqdYG/Rv0ge/d3pFCTRE2n4/Hv7dOIrswG+H+YegS3REP1O4BuRyYOKkQvwIoO3dLhAAZ6oVFI63ghOHRIk0R4hO/x58p/yC7MBvVAiLQu+59iIlsW/watRZLf/kJj3x6AMoq2Ug53hyppxoatgoAy37/AbsDdhkN1fv+0i/4/cBBZOTdRq0qNfBQnV5YevxLjG/3MhqrGmDnxe9xOOVv3Fv9Hvx8dT8UMgXevHciAnwCcCDpEH66uh+3cm+hirIKOke1R596D0AmFH/nLR1jWxxM/hNrTn2LdzpPMwyfA8oOoRv70xQ83fhxXL1zHf+knoBG1KB5eFM81fgxBCurGN53KPkofr76O27kpiLIJxAdqrfDo/UexJGUf7Dm1LcAgJkH38e91WPwQvOny+wnT52HXYk/4Hjqf8gszEKEfzjuq9UdXaI7GJXt3uoxKNQW4nDyX8jX5KNhaH081fgxVAuIsOnzU+XC5BBeoDJNWCbH9O2rxsqV+UZDTgDdEBRXBddS92k9E1dZgiAiOtr+7Fz6wE6/rdLbBpwfTEohNbCROv+5dCO3QwcNZDIR5ibu3906vv7ax+Hrho+PD8LDw+Hj4+PYhpzI3nq35X3uSMbiDI70wsoEGZqoGuJS1lV0uLfQ6PjJlYXoOXMhgmvcwF9fPIPf576KlAO9cEX8Gzsu7DHazl83j+Pqnet4odlTGNDwUZxIO4XFx1ZBK+p6e85lXMQnfy+HUqbE8JaD8USj/oZgqVBThFpVauDpxo8DAJ5u/DiebjIAAHAo6W8s//crFKZFoqt8KPrUeRCHb/yFZce/NCQT2HhuO06mncaAho9ibNuX0LpqC2w5vxMHk44AAO6/T3e9UoUaf/7oaN31TB6agqr+4QB0CQqW//s19l9PwP21uuHl1nGoH1IHq/5bh0PJRw3vXXpgN2o9tAsXf4rFHwtGoTA7EK2f22p4XhQF3LljfB7tStyHzWd3onOtGIxpOxR1g2tj5Yk1ZeokPT8DJ9JOY1jLwRjUqB8CfAKw99JPWH96M5qqGmJU66HoUbML9l35BetObzK8z9oxLkkURWi0GqN/+rqy1faLe6AVRQxrMVhX97dOYuPZ7Ybnf732B74+tQG1qtTEyFYv4KE6vfDL1f349uw2tAxvit517wcAjGj1AvrUfaDM9gs1RVh4dAmO3PgbD9TpiZdbvYgGofWw9vR32HPpJ6PX/nJtP1JybmJI86fwXNMncOXONXx9coNdn4sqD/Y4eYHKPl+BbNO3r27R2fKcCydln5Z6p4ob+CV7rHT/dTSw0Qd2umGuxduPihLdNsxVas9GbKwGH35ofXuRkaLR/MfUVAFarbWeBQE3bth+3Sg9z7JOnct4/fX/4fXXpyI6uqbk7biavfXet68aK1bkY+pUX6PsaaXf563DITt31qJmTeD69dLfQR0BgFIJszcrgpVVoBE1yNfmQhUq4gZ052tQVApy01Q4svhF5KZWBQC8P7EOroWfx7nMi0bbCPQJwCttXzL0AgX5BGH5v1/hv7TTaFW1ObZf3I3IgAiMbjPU0ENSN6Q25hxagIPJR9CjZhdUD4wEAFQPjERUYCR2xMuxrWA30i83x3fvjwCgG8r+2nuROKJeiv/STqNl1WY4n3kRTcMaof3dHqHGqgbwlSvL9LLMfKsA4ot3kHJTQLVqWjRpm47fkw/g+tVkPHM3UDudcQ4n089gWIvnDD1MzcOboEBThG0XdqF9ZFsUaApxRr0fZ3c+gFObHwUApBxvDj9VJqLanjR5jAs0hfj+8i/oWTsWg9sMQEZGDhqHNkKhphD7kw4ZvVYrajGwYV80DK0HQNfbsvvSj4itcS+ebPwYAKBZeGME+gRg7emNuK9WN0QHVZd0jPXWnv4Oa09/Z7RfhUyBj3u+Z7L8lkQHVseQ5k8Z/r6UdRV/3zxu+Cy7E39Am6otMLjZE4bXFGoL8WfKPwhQ+BuC1lpB0Ua9W3oJyX8iKecGJsaMRf27wwubhzeBVqvBnks/oFuNTgj0CQAABCj88XLrOMPnv5WXhp2J+5BdlGPUQ0pUEgMnL+CtP9DkPnI5yj2IlrJPc43ZsDARogijlOQ1a+qCpj59HA9s3BFMWiJ1iGNsrLQAKy1NQExMoM3JNwDbrhum51kWAtiHESPG2LxvV7On3uPjFZg50xdpacWfMTxci3feMQ62PHX+nDVyOfDxx8ATT8DsuVevntbsMRLv3uQQIMA/QPedv75NRNLlWvhl1iRA0KJ+qxSMnHAdfi2TceP6zTK9Ey3DmxmCJgBoVbUZZIIM5zMT0UTVEIm3r+CB2j10PR2i7ppS1S8M1QOq4XT6OaNGPaCrs9ffzMTDCzKRtLk3BJnuPTdSREwb3gJPr/HD6fRzaFm1GRqpGmD/9QRkFNxGi/CmaBneDH3qle25WH/2OwDfAaEACgEcBvwVfuhd937ERt8LADiTfh4CBLQIbwaNtvja1zqiOY6k/IWknBRkFd6BKGiQdLS10favHYwxGzgl3r6MIm0RYiKN39M+sm2ZwAkAagZFG/7/4u0rKNIWoXXV5kZlalW1OQBdsFfVP8ymY/xI3QfQsmozo30Kgn3tjdJzpVS+IYYerpu5t3CnKBttIloaveaB2j3wQO0ekrZ/LvMCwv1UhqBJr0P1e/BH8hEk3r5s+Cy1g2sZDV0M9Q0FABRqCgEGTmQGAycv4K0/0ESmmGvMAsU9GdHRwCOP+CMrSwO1kzqE3BFMWiK1R8RagDVgQBFGjCg7/1EqqdeN7dsVeOmlspmrUlMFREQAv/0mQ+PG9pXBlWypd3NzSdPTBYwY4QeZrOzQU3NBLSAiLKz8589JMXAg8OWXBZg+XVnm3GvSRIvwcPPnRGbBbfjIfAx37WvW1OLo0RwkJMhxJPNXXPH/AQXIxVllEAoyakIpVyJPnW+0jZLzWQDdEMAgn0DkFuUhV50HESL2XfkF+678Umb/PjLjIaFarW6ouk9QDgAgZvg3iBn+jdFr1AAyCrIAAE806g+VbwgO3/gb353dhu+wDfWC6+CZJgNQs0pxAFIyWBAEAf5yf4T7q4wa2jlFuRAhYuJvb5o8VrcLbhs+e6h/ANJLfIfzMkMMrxMEEVWqFB/z7MJsACjTC1al1HHT81P4liiT7jgsPrbKTJmybD7GYf5hqBNsPRGIFMpS2xYgGILxnKJcAGU/ty1yi/LKnF9A8TlX8lwsU5a7wSDXiCJLGDh5AU+d4E5kL3ONWf1jCoXMoybUu4qUHhFLAdY77xRg5kxza2MBuiGQ5u4MS79ubN+uwMiRfma2pXvss898MHQovLbebE32oO81HDbMD+aOc3q6bhFYT0zc06+fBg89lFPm3Pv0mPlGo0arwbmMC2gQUtcogJDLAWWDP3Hu5HY83uARdI7qgCCl7o795yfW4HLWVaPt5Khzjf7WilpkF+WgijIIfnJfCBDQq1ZXw3C6kkqnwD55UoakJBmCa+oCuWNrBiL1ZNkIvt98Xf34yBToXfd+9K57P9LzM/DvrVPYfekHfHFyPd4ssSaRlGDB38cPvnIlxrd72eTzEf5VDZ999OtpmDy0uuEGiO/dQE+4GzTcd58a5+++L9QvFACQVXDHaHt37gZUlgQo/AEAcc2fRbWAqmWeD1ZWsfkYW6M/87WlAo4CTYFN2/FX6G7MZN8N/vSyi3Jw9c511A+pa3UbAT7+SM27VebxrEJd4MwheOQoJofwAp46wZ2IHKcPIgcOVCM21vQwsr591Th6NAdbtuRi6dI8bNmSi6NHcxAeLlpMUGApaAKAd9+1ft2Ij9f1NFmbM5Wa6nmJEGxhT7KHPn3UUKnMBRqCYQFnT03cI+XcK2l/0iHcLryDbjU6lXnuwu1L8Ff448E6PQ1BU766ABczE8vcwT+ddtZoGNnfN49DK2rRWNUAfgo/1KoSjZTcVNQJrmX4FxVYHTsT9+FcxgUAMARu+uG9WderIz+zCgIjbiHjYh3Dv7z0ULR6dgsSM5JQqCnC2wc/wA9XdHnzwvxU6FGzC9pHtkV6fobNx69RaH0UaAoBwKisSdk3sCvxB2hFLeqF1IGPzAd+Df82SqITFaOb11Otmi7pRONGxcMZawZFwV/hh39unjDa37FU479NqRtSGwpBjsyC20ZlkglybL+wB7fy0iUfY6n87gY8mQWZhsdu5Nw09CBJVT2wGoJ8AvHvLeMhjIeTj2LxsVXQaNWQmb2m6TQKrY+0/AxcvH3ZeBs3/oZCkDut54wqL/Y4eQlPnOBO5Aq65AMyZGcDQUEydOhgfr5FZWFu4Wt75zWqVCIWLLB+3dD3wlh+TXXcvj0TGk11r55nac9c0oQEOTIyKl7innx1PhLvNjxFiMguzMGp9LPYn3QIHSLvQdtqrcq8p05wLfx+/SA2nduBVlWb43ZBFn648iuyCrMNvSB6twvvYMWJ1ehZMxY3c29h+8XdaKpqhCYqXYru/vX7YPHxVfjiv3XoENkOIkT8cOVXXMq6ij53s6rpeydyqpxESG0Vbl+piRMb+iNmxDqIWhmS/moNZUAumg3cjYDwDNRXDYJS7oNaVWpgd+IPUAgK1AiqjpTcVCQkH0W7iLKfyZoW4U3RMLQelh3/Er3rPoDqgdVwOesq4hO/R/OwJoYAsk/d+7Hj4l480FSJNfsa4qeTZ3BO/S+0AHbE56JaoB92lsif4afwwwO1e2Jn4vcIDgxE7YDaOHPrPH6/fhCAbnibOUE+gXigTk/EJ36PfE0BGoXWx+2CLOy4uBeCIKBmlSjJx1iqxqEN4CPzwebz8ehb/2Hkq/OxM3EfAhUBNm1HJsjwaL0HseHsVlQ5uxWtqjZHSm4qdibuQ4+aXRDgE4AAH9259E/qCbQIb4rqgdWMttEpqj1+vX4Qy49/hUfrP4SqfmE4fuskDiYfwSN1HzC8n8heDJy8iKdNcCdytrLJB/wr/SLPlha+ljo/adasfGRlCRBFXQ+DlN4FwHpGTwDQaiOQk6MbqhQZadsdZk9iz1zSipq452p2EuYfXQRA10j3lfsiOqg6nmk8AF2iTS/82ql6DNLy0nEw+Qh+v34QIb4haBneFN1rdMa6M5twIyfFkAmve43OyFPnY/m/X0EhKNAhsh0eb/ioYY5Js/DGGNtmOHYl/oDPT6yBQiZHrSo18WrbEYbkAlGBkYhSt8NJ7QHc++oZfD95JhJ/7oqiPH806fc96t+/H+p8X6SdbYDEb1/E0vhQAMBzTQdhx8W9+OHKr7hTeAdByiB0ie6AvvUetvk4yQQZxrQZjviLe7H38k/ILsxGiG8I7qvVDY+USJX9cN374Cv3xc9Xf8fP1/ajfnAdPBX5KL45swVyM1+vh+v0gkwG/Hb5EG7n7UOd4Np4rOEj2HRuB3wVlofS9av/MEKUVfDr9YP44fIv8PfxR1NVI/Rv0Bv+d4NYKcdYqgAff4xo9QK2XdiF5ce/Qpi/Co/UfRCHbhy1/uZSutfsAqVciR+u/IoD1w8h1DcED9bpiQdr9wQANAptgKaqRth+YTfOZJzHmDbDjN6vlCvxertR2HZhF+Iv7kW+pgCRAREY3PRJo3WciOwliJVwFpxGo0V6eo71F1qhUMigUgUiIyMHarV9axpQ+WBdeT7jifllkyBUxkWerR2TFSvyMXOmr9X5j0eP5th1g2XzZgVGjbJ8h1YQMuHr+zvCwmJx9KiP197I0WiAmJhAm47lgQNyDBhg/a76li25HtPjVFGuhea+GyV567VDo9Xgz5R/0CyiERpE1TDU1a/X/sB3Z7fhg26z2HPigSrKd6syKF1XYWGBkJu7i1GKV8xxSk5OxoQJExAbG4sOHTpg+PDhOHfunLuLRUROwkWey5JyTGbO9MU777hu/qOUXhiF4irCwkbhlVcuem3QBNg3l9Taos6OLuBMpln6bpRUvbrrFv52JblMju+v/ILFf3+BQ9f+xtn0C/j12h/YcXEv7q0ew6CJyI08PnAqLCzEyJEjkZqaiqVLl2LdunUIDAzEiy++iPT0dHcXj4icwJ6J+RWd1GMSHi4aTTrXi4pyvNFoLTAAAJlM91z37uVzh1Wj0fX0bN6swIEDcqcG0/q5pFKPJRP3uIe174beZ595X9CkN7r1UEQGRuDzP9fj46PL8fPV33Ffra54rukgdxeNqFLz+DlOf/75J86ePYvffvsNkZG68dHz5s3Dvffei59++glPPPGElS0QkaerqHNFrDGX9AGw7ZgMHOia+Y+WFurVZ+Z7881CLF7s2H6ksjTfy1kNZFvnkjJxT/mT+t1ITfXe60VV/zCMaP08h34ReRiPD5waNWqE5cuXG4ImAJDJdD+aWVlZ7ioWETlRZVzk2VoQYOsxcdUCv+YCg+hoXWDQuLG2XAInc4vTJicLGD7cz6lDsmw9lkzcYx9LNw4sqYzXCyLyDB4fOEVERKBHjx5Gj61evRr5+fmIjY11U6mIyJkq2yLPUoKAPn3UHnNMLAUGly/7omXLlvD1tZy23BG2Lk7rDq4KXCsqR3oPnXW9sDdwI6LKy+1Z9a5du4b77ze/ZsDBgwcRFhZm+Hvfvn147bXXMGTIEEybNs2ufWo0WmRl5dn13pLkchmCg/2RlZUHjYbd6J6MdeX5duyQIy5O1/gu2RjSzxX58ssC9Ovn/Q1TjQZo08b/bu+N6UZfdLSIf/7Jw65dnn9MyuO7tX+/DP37W58Qv317Hrp25ffbEk+4Fuq/6+ayRUo5rx29XuzYIcf06coygdvcuYVu/07peUJdkXSsL+9Ruq6Cg/0lZ9Vze+BUVFSEK1eumH2+bt26kN+9BbR+/XrMnj0b/fv3x3vvvWcYsmcrURQN60UQkefYvBkYPx64dq34sVq1gI8+AgYOdFuxnOqXX4Bevay/7uefgZ49K8cxsWb9euC556y/bt064NlnXV8esp9GA9Sta3w+lyQIQM2aQGIirPb+2Pvd2LwZeOIJlOnx1TcLNm6sPN8tIrKN2wMnqebNm4fPP/8cQ4cOxdSpUx0KfNjjVPmwrryHRgMcOqRAVpYvgoMLcO+97ht+5QqbNskxYoSf1detWJGPQYN0d741GuDgQZlhSFHnzlqPOSZnzpzCs88+ifXrv0OTJs1csg/2ODmPu6+Fzq5LW78btvT4uvs75u66ItuwvryHIz1OHj/HCSgOmqZOnYphw4ZZf4MEzsxQo9FomfHGS7CuvEOXLmqoVL7IyFBDrdZCXYESk1WtKu2mT9Wqxudqp07F/y+K8JhjotFoUVhY6NLvVocOWklzWjp0UHvMcfF07roWlhwaZ/l10n+nbfluHDggt1gGURRw/bqA/fsFj5mzxt8t78L68h721JXHr+N06NAhfP755xgyZAj69euH1NRUw7+cnBx3F4+IyCZcNNV2XC/JeTQa3XDRTZvkTl8HSwp3Z8SrrEsfEJFzeHzgFB8fD0CXSa9r165G/1atWuXm0hER2YZBgH1sXZyWyoqPV6BNG3/06gWMGOGHAQMCEBMTiPj48ht84u4bB+4O3IjIu3nNHCdn0mi0SE93vLdKoZBxcTovwbryLpWhvspjMdfycPbsKTz11AB8++0WNG7smjlOJTGFtH2MU+CXzUJXnsGnviyA6Yx4riyLRgPExARaHfZ59GiO28+rynAdrEhYX96jdF2FhQV6T1Y9d2DgVPmwrrxLRasvc439ihAEqNWFyMq6heDgqlAolO4ujk0qwvGXQh8sWEqIUN7BgjtvHLgzcLNFRbsOVnSsL+/hSODkFckhiIi8lbUGoqdMQLeXn58foqKaeF1joaL0+EmRkGA9IUJSkoCEBHm5nY+WFlUuj32vXJl/t/6LA6eoKLFC1j8ROQ8DJyIiFzEeHlUsOVnA8OF+Dt3Z9pTekqSk63j33eUYOnQkqlWLKv8C2MGV9eKJPDUhglwOt904cGfgRkTey+OTQxAReSONBpgxw7fMnBKgeHjQjBm+dmU1i49XICYmEAMGBGDUKH+3TPLXy8zMxPr165GZmVnu+7aHK+vFUzEhgmn6wG3gQF3PL4MmIrKGgRMRkQsUD48yfRdfNzxKhoQE21pr+t6SkkOMgOLeEncET97EVfXiydydyY6IqKJg4ERE5AKuGB5VGXtLnM1Th625ElPgExE5BwMnIqqwNBrgwAE5Nm9WlPtin64YHlUZe0tKc7ROK+uwNa6DReR6Gg2wf7/MLb85VD44poOIKiR3Z03TD4+ytl5MyeFR1hI+eGJvSXh4OF555RWEh4e7fF/OqFN76qWi6NtXjX79tDhxIhDnz+ejalUtEyIQOcmOHXK88QZw7Zq/4bGKmqmzMmOPExFVOJ4wD8jW4VFSEj54Ym9JZGR1TJ8+HZGR1V26H2fVaWUftiaXAz17AoMGaZgQgchJ4uMViIvzxbVrxo9z7mnFw8CJiCoUT5oHJHV4lNSgwBMn+efkZOOPP/5ATk62y/bh7DrlsDUichbj65Mxzj2teBg4EVGF4mnzgPr2VePo0Rxs2ZKLpUvzsGVLLo4ezTE0zm0JCjyxt+Ty5ct48skncfnyZZftwxV1aq1eiIik8LTfHHIt9h0SUYXiifOALC30Wfyja5ruR1dAQoIcsbEaQ2+Jbq5P8WeIihIr7Fh6V9WpOxdgJaKKwRN/c8h1GDgRUYXiifOALLHnR7dvXzX69FFbTCRRkXhbnXoqXfIRGbKzgaAgGTp00FbYc4aovPD6VLkwcCKiCsXbsqbZ+6NbmXpLvK1OPVHZjIT+zPhF5AS8PlUunONERC5XnuspeeI8IEs8MeGDLRQKBapXrw6FwnX34bytTj2NJ2SZJKqojK9Pxs/x+lTxMHAiIpeSkmbb2Twla5qUgNHbg4LGjZvg6NGjaNy4iUv34yl16m08KcskUUXVt68aX35ZgBo1jB/n9aniEUTRVALFik2j0SI9Pcfh7SgUMqhUgcjIyIFarXVCychVWFfuob/TXbrRpg8IzP2gOKu+rC0o60q2Ltbq7gV77VXe3y131qk3OnBAjgEDAqy+bsuW3Eoz9NNb8HfLuygUMgQHB2LXrjwkJYHXJw9W+rsVFhYIuVxaXxL754nIJazd6RYEETNm+KJPH7XLfljcNQ/IOGAsph8aZSpg9NaED2fPnsGYMSOwePEK1K/fyOX7q0xzu5yBGb+Iyo9cDnTtqmWgW4ExcCIil7A1zXZF4UjA6I1BgVqtxo0bN6BWe26vWGXGjF9ERM7DOU5E5BKV9U43F0MkT+LtyUeIiDwJAyciconKeqe7sgaM5JnsST5SnlkwiYi8CQMnInKJynqnu7IGjKawAe4ZbMlI6I4smERE3oJZ9RzAjDfeg3XlHvokCQCMFgYsr6x67qDRADExgVYXQzx6NMfjEz9IUVCQiytXLqB27Qbw9S3O3uatWQIrMo0GOHJEgexsfwQF5aFDB+N5dvZmwSTX8ObrYGXE+vIejmTVY48TEblMZVx7x9vXZbJVYGAQunTpgsDAIMNjXHDVM+kzfj37rO6/pYfncb0nIiLLGDgRkUv17avG0aM52LIlF0uX5mHLllwcPZpTIYMmvcoUMKak3MDcuXORknIDABvg3opJTYiIrONtPyJyicq+UKm3rstkq7S0NHz22Wfo3v1+hIdXq7Rp6L0dk5oQEVnHwImInI7zW3S8cV0mR7EB7p2Y1ISIyDoO1SMip+L8lsqNDXDvVFmzYBIR2YKBExE5Dee3EBvg3qmyJTUhIrIHAycichpOMK98QkND8eyzzyI0NBQAG+DerDIlNSEisgfHzBCR03B+S+UTHV0D8+fPN1q7RN8A181zK67rqCix0s1z8walE7kcPpyDI0cqdlITIiJ7MHAiIqfh/JbKJz8/H2fOXENwcFUoFErD45Ulq6C3s5TIZeBABrhERCVxqB4ROQ3nt1Q+Fy9ewH333YeLFy+UeU6fVXDgQDViYxk0eRomciEisg0DJyJyGs5vIfIOTORCRGQ7Bk5E5FScYE7k+Q4elDGRCxGRjdgPT0ROx/ktRJ6NiVyIiGzHwImIXEI/v4UqNkEQoFQqIQhsYHsTJnIhIrIdAyciIrJbs2bNkZiYaJSOnDxf585aREdrkZwsGOY0lSQIIqKiRCZyISIqgXOciIiIKhkmciEish0DJyIistuFC+fx8MMP48KF8+4uCtmIiVyIiGzDoXpERGS3goICnDhxAgUFBe4uCtmBiVyIiKRj4ERERFSJMZELEZE0HKpHRERERERkBXuciIgqCY0GHJJFRERkJwZORESVQHy8AjNm+CIpqXigQXS0FnPmFDiUBKBGjZpYunQpatSo6YxiEhEReSwO1SMiquDi4xUYNswPSUnG6/UkJwsYPtwP8fH230MLCQlBv379EBIS4mgxiYiIPBoDJyKiCkyjASZO9L37l3HgpF/4dMYMX2jszA1w69YtLFu2DLdu3XKglERERJ6PgRMReRWNBjhwQI7NmxU4cEBud4O/svjwQyUyMmQoHTTpiaKApCQZEhLsm+x082YK3nnnHdy8meJAKYmIiDwf5zgRkddw1TydikqjAZYv95H02pQU04EVERER6bDHiYi8Qny8AsOHu2aeTkWVkCBHZqa0y3xkpOji0hAREXk3Bk5E5PE0Gt08HFEEXDFPp6KS2osUGqpFp048eERERJYwcCIij5eQIL87PM8183QqKqm9SCNHFtm9nlNQUBU8+OCDCAqqYt8GiIiIvAQDJyLyeFJ7TjhPx1inThpER2shCOYCKBFhYVq8/nqh3fuoXbs2vvzyS9SuXdvubRAREXkDBk5E5PGk9pxwno4xuRyYM6cAAEwETyIEAZg/v8Du3iYAKCoqQlpaGoqKiuzfCBERkRdg4EREHs9az4kgiIiO5jwdU/r2VWPlynxERRkfu+hoEStX5jucjfDcubNo3bo1zp0769B2iIiIPB3TUBGRx9P3nAwf7gdBEA0JIYDinpQ5cxzrOanI+vZVo08fNRIS5EhJERAZKaJTJw2PFxERkQ3Y40REXsFcz0lUlHN6Tio6uRyIjdVg4EA1YmMZNBEREdmKPU5E5DXYc0JERETuwsCJiLyKvueEiIiIqDwxcCIicjONBl7bi9akSVOcPn0aBQXi3QWKiYiIKiYGTkREbhQfr8CMGb53F/jViY7WYs6cAq+YtyWXy1GlSiDU6hyo1Vp3F4eIiMhlmByCiMhN4uMVGD7cD0lJxgv3JicLGD7cD/Hxnn9v6/LlS3juuedw+fIldxeFiIjIpRg4ERG5gUYDzJjhe3d4m3HgpE+3PmOGLzQePp0rJycHv/76K3JyctxdFCIiIpdi4ERE5AYJCfK7w/MEk8+LooCkJBkSErxkshMREVEFx8CJiMgNUlJMB0z2vo6IiIhcyysCpytXrmD06NFo37492rdvjwkTJiAlJcXdxSIisltkpLQUdFJfR0RERK7l8YFTYWEh4uLioNVqsW7dOqxevRo3b97EqFGjIDL3LRF5qU6dNIiO1kIQTF/HBEFEdLQWnTp59iSn6tWj8O6776J69Sh3F4WIiMilPD5wSk5ORqtWrTB37lw0btwYzZo1Q1xcHE6ePImMjAx3F4+IyC5yOTBnTgEAlAme9H/PmVPg8es5hYWFIS4uDmFhYe4uChERkUt5fOBUp04dfPzxx4Yf5aSkJKxfvx4tWrSASqVyc+mIiOzXt68aK1fmIyrKOHCKihKxcmW+V6zjdPt2JjZt2oTbtzPdXRQiIiKX8vxFQkoYNmwYDhw4gJCQEHz11VcQBE6aJiLv1revGn36qJGQIEdKioDISBGdOmk8vqdJ7/r16xg3bhy+/XYLGjcOdndxiIiIXMbtgdO1a9dw//33m33+4MGDht6myZMnY/z48Vi0aBHi4uKwdetWREXZN65eoXC8s00ulxn9lzwX68q7VLb6UiiAHj1EAPqeJ+/53DKZYPivM66r5FqV7bvlzVhX3oX15T0cqStBdHOGhaKiIly5csXs83Xr1oW81K3X3Nxc9OrVC0OGDMErr7xi8z5FUWRvFRGRE/z777/o3bs39uzZg1atWrm7OERERC7j9h4nHx8fNGjQwOzzycnJOHbsGHr37m14LCAgADVr1sTNmzft2qdWKyIrK9eu95Ykl8sQHOyPrKw8aDRah7dHrsO68i6sL++RnZ1v+G9GRo6bS0PW8LvlPVhX3oX15T1K11VwsL/k3ie3B07WnD59GuPHj8fu3btRv359AEBWVhYSExPRv39/u7erVjvvpNZotE7dHrkO68q7sL48n6+vH+655x74+vqxrrwIv1veg3XlXVhf3sOeuvL4gZixsbFo2rQppk6dihMnTuC///7DuHHjoFKpMGjQIHcXj4ioUqtXrz527NiBevXqu7soRERELuXxgZNSqcSKFStQu3ZtvPTSSxgyZAiCg4OxZs0aBAUFubt4RERERERUCXj8UD0AqFatGhYsWODuYhARUSknT/6Hp54acDcdeTN3F4eIiMhlPL7HiYiIiIiIyN0YOBEREREREVnBwImIiIiIiMgKBk5ERERERERWeEVyCCIi8kwNGjTE/v374e8f4u6iEBERuRR7nIiIyG6+vr6oV68efH193V0UIiIil2LgREREdrt27SpeffVVXLt21d1FISIicikGTkREZLesrCxs3rwZWVlZ7i4KERGRSzFwIiIiIiIisoKBExERERERkRWCKIqiuwtR3kRRhFbrnI8tl8ug0Widsi1yLdaVd2F9eYeiokKkpKQgMjISPj5KdxeHJOB3y3uwrrwL68t7lKwrmUyAIAiS3lcpAyciIiIiIiJbcKgeERERERGRFQyciIiIiIiIrGDgREREREREZAUDJyIiIiIiIisYOBEREREREVnBwImIiIiIiMgKBk5ERERERERWMHAiIiIiIiKygoETERERERGRFQyciIiIiIiIrGDgREREREREZAUDJyIiIiIiIisYOBEREREREVnBwMkJrly5gtGjR6N9+/Zo3749JkyYgJSUFHcXi8xITk7GhAkTEBsbiw4dOmD48OE4d+6cu4tFVsycORPTpk1zdzGoBK1Wi08++QTdunVD27ZtMWLECFy9etXdxSIrli1bhiFDhri7GGRGZmYmZs6cie7du+Oee+7Bs88+iz///NPdxSIz0tLSMHnyZHTq1Ant2rXDyJEjceHCBXcXi6xITExEu3btsHnzZpvex8DJQYWFhYiLi4NWq8W6deuwevVq3Lx5E6NGjYIoiu4uHpVSWFiIkSNHIjU1FUuXLsW6desQGBiIF198Eenp6e4uHpmg1WqxcOFCbNiwwd1FoVIWL16MdevWYfbs2fjmm2+g1Wrx0ksvobCw0N1FIzPWrl2Ljz76yN3FIAsmTJiAv//+GwsXLsSmTZvQrFkzDB8+HBcvXnR30ciEsWPH4vLly1i+fDk2btwIPz8/xMXFIS8vz91FIzOKioowadIk5Obm2vxeBk4OSk5ORqtWrTB37lw0btwYzZo1Q1xcHE6ePImMjAx3F49K+fPPP3H27FnMnz8frVq1QqNGjTBv3jzk5ubip59+cnfxqJQLFy7gueeew3fffYfo6Gh3F4dKKCwsxKpVqzBu3Dj07NkTTZs2xYcffogbN27g+++/d3fxqJSUlBSMGjUK8+fPR926dd1dHDLj8uXLOHDgAGbNmoX27dujXr16ePPNN1GtWjXs2LHD3cWjUm7fvo0aNWpgzpw5aN26NRo0aIAxY8bg5s2bHMniwT799FMEBQXZ9V4GTg6qU6cOPv74Y4SFhQEAkpKSsH79erRo0QIqlcrNpaPSGjVqhOXLlyMyMtLwmEym+xpkZWW5q1hkRkJCAho0aID4+HjUrFnT3cWhEk6fPo2cnBx07tzZ8FhwcDCaN2+OI0eOuLFkZMp///0HHx8fbN++HW3atHF3ccgMlUqF5cuXo1WrVobHBEGAIAj8jfJAISEhWLBgARo3bgwASE9Px5dffonq1aujYcOGbi4dmXLkyBFs2LAB77//vl3vVzi5PJXasGHDcODAAYSEhOCrr76CIAjuLhKVEhERgR49ehg9tnr1auTn5yM2NtZNpSJzBg8e7O4ikBk3btwAAERFRRk9Xq1aNcNz5Dnuu+8+3Hfffe4uBlkRHBxc5jdq7969uHz5Mv7v//7PTaUiKd588018++23UCqVWLJkCQICAtxdJColKysLU6ZMwYwZM8r8dknFwMmKa9eu4f777zf7/MGDBw29TZMnT8b48eOxaNEixMXFYevWrXZXDNnHlvoCgH379mHBggWIi4tDkyZNyqOIdJetdUWeRT9+X6lUGj3u6+uL27dvu6NIRBXOX3/9henTp+Ohhx5Cz5493V0csuDFF1/E008/jbVr12Ls2LFYt24dWrRo4e5iUQmzZs1Cu3bt0K9fP7u3wcDJisjISOzatcvs8yEhIYb/b9asGQDgo48+Qq9evbBp0ya88sorLi8jFbOlvtavX4/Zs2ejf//+mDJlSnkUj0qwpa7I8/j5+QHQzXXS/z8AFBQUwN/f313FIqowfvjhB0yaNAn33HMP5s+f7+7ikBX6oXnvvvsujh07hjVr1mDu3LluLhXpbd26FX/++afDcwUZOFnh4+ODBg0amH0+OTkZx44dQ+/evQ2PBQQEoGbNmrh582Z5FJFKsFZfevPmzcPnn3+OoUOHYurUqRxW6QZS64o8k743/ebNm6hdu7bh8Zs3b7L3lshBa9aswbvvvovevXvjf//7X5meXfIM6enpOHjwIB5++GEoFLomtUwmQ8OGDdkG9DCbNm1CWlpamZ7bt956C7t27cLnn38uaTtMDuGg06dPY/z48UZpQrOyspCYmMhGoYfSB01Tp07FtGnTGDQR2aFp06YICgrCoUOHDI9lZWXh5MmT6NChgxtLRuTd9Cn+Bw8ejIULFzJo8mC3bt3ChAkTcPDgQcNjRUVFOHnyJNuAHmb+/PnYtWsXtm7davgHAOPGjcO7774reTvscXJQbGwsmjZtiqlTp+Ktt96CIAiYN28eVCoVBg0a5O7iUSmHDh3C559/jiFDhqBfv35ITU01PBcQEIDAwEA3lo7IeyiVSjz//POYP38+wsLCUKNGDcybNw/Vq1fHQw895O7iEXmlxMREvPfee3jwwQfx8ssv49atW4bn/Pz8UKVKFTeWjkpr3Lgxunfvjjlz5mDOnDkICQnBsmXLkJWVhbi4OHcXj0oomU25pPDwcLPPmcLAyUFKpRIrVqzA//73P8PCj127dsWaNWvszhFPrhMfHw9Al0lv9erVRs+98sorePXVV91RLCKvNG7cOKjVasyYMQP5+fno0KEDVq5cCR8fH3cXjcgr7d27F0VFRdi3bx/27dtn9NyAAQPsTqFMrrNw4UIsWLAAr7/+Ou7cuYP27dtj7dq1XHuwghJEURTdXQgiIiIiIiJPxjlOREREREREVjBwIiIiIiIisoKBExERERERkRUMnIiIiIiIiKxg4ERERERERGQFAyciIiIiIiIrGDgRERG5CVcEISLyHgyciIisGDJkCJo0aWL0r2XLlujZsyfefvtt3L592+L7r127hiZNmmDz5s1OLdd9992HadOmOXWbgO7zDhkyxOrrCgoK8OWXX2LQoEGIiYlBx44d8cwzz2Dr1q0MCCT48ccfMXXqVMmvV6vVeOqpp/Dpp59Kfs/evXvx3HPPmXxu9erVuO+++6zu84knnpB0PpSUnZ1t8vwsKChAixYtynyf2rVrZ/TecePGISYmBgMGDMDx48eNtnHz5k107NgRV69eNXq8sLAQvXv3xj///GNTWYmIpFK4uwBERN6gefPmeOuttwx/FxUV4b///sPChQtx6tQprF+/HoIgmHxvtWrVsGHDBtSuXdupZfrss88QFBTk1G1KdevWLbz00ktITk7GkCFD0Lp1a2i1Wvz888+YNm0a/vzzT8yePdvsMSHgyy+/lPzagoICTJkyBceOHUO3bt0kvSctLQ1vv/02VqxYUea5nTt34v3330dkZKTFbSxfvhz//vsvOnbsKLmsADB37lxcv369zONnz56FWq3GvHnzjL4PMlnxfdxFixbhzJkzWLhwIfbt24fx48dj7969UCqVAHTnff/+/VGrVi2jbSuVSkyaNAlTp07Ftm3b4OfnZ1OZiYisYeBERCRBUFAQ2rZta/RYhw4dkJOTg08++QTHjh0r87yeUqk0+5wjmjdv7vRtSjV16lTcuHEDGzZsQN26dQ2P9+zZE9HR0Vi4cCF69eqF+++/321lrCj+/PNPvPPOO0hJSbHpfUuWLEHr1q3RokULw2NpaWn4+OOPsWHDBoSGhlp8/+nTp7Fs2TJERETYtN9ff/0Vu3fvRpUqVUxuU6FQoHfv3oZAqLSDBw/i6aefRo8ePdC2bVt89913uHz5Mho1aoQLFy5gz5492LNnj8n3PvDAA/joo4+wfv16DB061KZyExFZw6F6REQOaNmyJQAgKSkJgG6Y26RJkzBu3Di0bdsWQ4cOLTNUb/PmzWjevDmOHTuGp59+Gq1atUKvXr2wcuVKo21nZ2dj9uzZ6NatG9q2bYtBgwbhl19+MTxfciiUfh87d+7EqFGj0KZNG/Ts2ROLFi2CVqs1vCc/Px8LFizAQw89hJYtW+Kee+7B0KFDcerUKcmf+dSpU9i/fz+GDx9uFDTpxcXFYfDgwQgICDA8dunSJYwbNw6xsbFo27YthgwZgqNHjxqe15d/z549GDNmDNq2bYsuXbpg8eLFyM7Oxv/93/8hJiYGXbp0wbx58wxDAaV+bo1Gg7Vr16Jfv35o3bo1evbsifnz56OgoMDwmmnTpiEuLg6bNm3Cww8/jJYtW+Kxxx7Db7/9ZvT5kpKSMGHCBHTs2BFt2rTBiy++iJMnT5b5LLt378a4cePQrl07dOzYETNmzEBubi4A3Xly+PBhHD58GE2aNMGhQ4fMHu/Ro0cjOjrapqGe6enp2LhxI/r27Wv0+NKlS7F//358+umn6NWrl9n3FxYWYsqUKRgyZAjq1asneb+3b9/GjBkzMHnyZAQHB5d5/tSpU6hfv77ZoAkABEGAr68vAMDHxweArv4AYMGCBXjhhRcQFhZm9v39+vXDF198gcLCQsnlJiKSgoETEZEDEhMTAcBo2NDu3bsRGBiIJUuW4KWXXjL5Pq1Wi9deew2PPPIIli9fjnvuuQcffPABfv/9dwC6huKwYcOwY8cOvPzyy1i8eDHq16+PsWPH4s8//zRbnlmzZiEoKAiffvopHnvsMXz22WdYsGCB4fkpU6Zg06ZNGDlyJFatWoXp06fj3LlzmDhxouR5Sfoympsf4+vri5kzZ6Jz584AgPPnz2PgwIG4du0aZsyYgfnz50MQBLz44os4fPiw0XtnzJiBxo0bY8mSJejcuTM+/vhjPPHEE/Dz88Nnn32Ghx56CJ9//nmZHgdrn3vmzJmYO3cuHnjgASxZsgSDBw/GmjVrMGbMGKPPfeLECaxcuRLjxo3DokWLIJfL8eqrrxrmsaWnp+OZZ57Bf//9hzfffBMLFiyAVqvF4MGDceHCBaMyvfXWW6hRowYWL16M4cOHY+PGjViyZInhuebNm6N58+bYsGGDUa9QaWvWrMHSpUtRo0YNi/VS0vfffw+1Wl0mOHrmmWewd+9ePPTQQxbfv2jRIqjVaowbN07yPgFg9uzZaNCgAZ555hmTz586dQpyuRzDhg1D27Zt0bFjR8ycORPZ2dmG17Rt2xZ79uxBeno6Nm3ahPDwcNSrVw9Hjx7FsWPHrPYk9e7dGykpKWXOLSIiR3GoHhGRBKIoQq1WG/6+ffs2Dh8+jCVLlqBdu3aGnidAd5f87bffNtxVv3btmsntjRkzBk8++SQAICYmBvv27cMvv/yCbt264bfffsOxY8ewaNEiPPDAAwCATp064erVq0hISED79u1NlrNFixaYP38+AKB79+7Izc3FV199hdGjR0OpVCInJwczZszAI488AgDo2LEjsrOz8f777+PWrVuShmUlJycDAGrWrGn1tYBuTopSqcTXX39tmJPVs2dP9O3bFx988AE2btxoeG23bt3w2muvAQAaNWqE+Ph4hIeHY+bMmYZjsGPHDvz111/o06ePpM9948YNbNy4ERMnTsTIkSMBALGxsahWrRqmTJmC3377DT169AAA3LlzB5s3bzbMvwkICMDzzz+PhIQEPPzww/jqq6+QmZmJ9evXGwKZ7t2745FHHsHHH3+MTz75xFCmHj16GJI/dO7cGQcOHMAvv/yCiRMnomHDhoZjYW0YZ5MmTSQd55ISEhLQoEEDBAYGGj3eoEEDq+89fvw4Vq1ahbVr11rsGSpt3759+PHHHxEfH29ybpsoijhz5gxEUcSTTz6J0aNH499//8Vnn32G8+fPY82aNZDJZHj11Vcxfvx4dO7cGREREZg3bx58fX0xb948jB492jDf6+LFi3jwwQcxfvx4yOVyw37q1KmDkJAQHDx4EF27dpVcfiIiaxg4ERFJcOTIkTK9AjKZDF26dME777xj1FC0NhRJr2QmMaVSibCwMMNQrqNHj8LHx8eoV0cmk+Gbb76xuM3HH3/c6O+HH34YX3/9Nf7++29069bNMBwwJSUFiYmJuHTpEn7++WcAkDy0Sd9I1Q+fsubw4cPo1auXUSILhUKBRx99FIsWLUJOTo7h8ZLHpGrVqgCA1q1bGx4TBAEhISG4c+eO0T4sfW599rVHH33U6DWPPvoopk+fjkOHDhkCp7CwMKOkBdWrVwcA5OXlAdDNv2nWrBkiIyMNgbRMJkP37t2xfft2o+2XDoiqV69uMmGCK1y9elVyYFtSQUEBpk2bhhdffNHouFuTnp6OmTNnYsqUKWZ7xkRRxJIlSxAWFoZGjRoB0M0TrFq1KiZPnozff/8dPXr0QFhYGFavXo3c3FzDcM/vv/8et27dwtNPP43XX38dgYGB+OSTT/Daa6+hWrVqeP755432FR0dbfKGBRGRIxg4ERFJ0KJFC7z99tsAiudgREVFmcxqV/ouvzmls37JZDLDsLHMzEyEhoYaZRuTonSWNP1cEP1Qs99//x3vvfceLl68iMDAQDRt2tTQOJU6VE/fME5KSkLDhg1NviYlJQXVqlWDIAi4ffu2IQgqqWrVqhBF0WiYlqnjWXKulDmWPrf+s5fuTVMoFFCpVEZBmL+/v9Fr9AGxfr5UZmYmLl++bHZonT7AMrWtkvXratnZ2WX2L8VHH30ErVaLMWPGGAJDfZnVajXkcrnJ3qRZs2ahYcOGeOKJJ4x6ZvU9tXK5HDKZDPfee2+Z9/bs2RMAcObMGUMACxTXu1qtxoIFCww9kT/99BO++eYbNGrUCI8//jj27t1bJnDy9/c3Oq+IiJyBgRMRkQSBgYFo1apVue2vSpUqyMzMhCiKRg3VkydPQhRFsw33jIwMo7/T0tIAAOHh4bhy5QrGjh2LBx54AMuWLUOtWrUgCALWrl1rmLckhX7406+//moycFKr1Xjsscdwzz33YPHixQgJCcGtW7fKvC41NRUAoFKpcPPmTcn7N8XS587KyjLsr2RvSFFRETIyMqBSqSTvp0qVKujYsSOmTJli8nlbhra5UumAUKq9e/fi+vXrRj1/ei1atMDcuXMxcOBAk+8DYDRkFQCuX7+OrVu34uuvv0bdunXx66+/omvXroiOjja8Jj8/31BmU7777jv4+/vj0Ucfxa1bt6DRaBASEgIAZs+trKwso30QETkDk0MQEXmg9u3bo6ioyCijmyiKmD59OpYtW2b2fT/88IPR33v37oW/vz/atGmDEydOoKCgACNHjkTt2rUNAZk+aJLaG9KoUSN0794dK1asKLMIKQAsW7YMGRkZ6N+/PwDdcKyff/7ZqAdAo9Fg586daNWqlVOCDUufW78G0c6dO41es3PnTmg0GsTExEjeT8eOHZGYmIh69eqhVatWhn/btm3Dxo0bjebaWGNrb6ItoqOjDXPRbLFkyRJs3LjR6F+LFi3QokULbNy40WwmvtLv2bhxIyIiItCrVy/DNjQaDd58801s2LDB6L27du2CXC43OW8vJycHixYtwsSJEyEIAlQqFWQymSHovnnzJsLDw43eI4oiUlJSbEqmQUQkBXuciIg8UM+ePdGuXTtMmzYNr732GmrVqoVt27bhwoULmD17ttn37d69G+Hh4ejRowcOHz6MtWvX4vXXX0dAQABatGgBhUKBefPmYdiwYSgsLMTmzZsNKc7186ukePvtt/Hiiy/iqaeewgsvvIA2bdogJycHe/bswc6dO/HMM8+gd+/eAIBXXnkFv/32G1544QWMHDkSPj4+WLNmDa5evYrPP//coeMk5XM3bNgQAwYMwCeffIK8vDx06NABp06dwmeffYZ7771X8oKygC7V+rZt2xAXF4dhw4ZBpVJh165d+PbbbzF9+nSbyhwcHIy///4bBw8eRPPmzQ29KM4QGxuL3bt3486dOybXUzLHVCIK/dDTkj2u6enpuHLliiHJhaneWKVSidDQUMNzQUFBGDhwIFauXAlfX1+0a9cOR48exdKlSzF48GCTac+/+OILNGjQwFBHCoUCXbt2xZIlSzBkyBBs2rQJL7zwgtF7zp49izt37thUr0REUrDHiYjIA8nlcqxYsQIPPfQQPv74Y4wdOxaXL1/GqlWrLE7aHz9+PC5cuIAxY8Zg7969mDlzpiGTXJ06dbBgwQKkpKRg9OjRhkx1q1evhiAIFtOclxYdHY0NGzbgqaeeQnx8PMaOHYsZM2YgKSkJCxYswKxZswyvbdSoEdatW4fw8HBMnz4dkydPhiiK+Prrr9GlSxf7DpANnxsA3n33XYwdOxY7duzAyJEjsXbtWrzwwgtYsWKFTT0/kZGR+Oabb1CjRg3MmjULo0aNwvHjx/Huu+8iLi7OpjIPHjwYPj4+GDFiRJm1ohzVq1cvKBQKm4Zg2uKXX37B008/jf/++8+m97399tsYM2YMtm3bhpEjR2Lbtm0YN26cyaAzLS0Nq1atwsSJE40enzVrFvLy8jBp0iTExsZi8ODBRs//9ttviIiIwD333GP7ByMiskAQy2umKhERucy1a9dw//33m52DUlFV1s8txezZs3Hu3Dl8/fXX7i5KuRFFEQ8//DCee+45mwNZIiJr2ONERERUAY0aNQqnT5/G8ePH3V2UcvP9999Do9GYXYCXiMgRDJyIiIgqoIiICMyaNQvvvfeeu4tSLgoLC7Fw4UJ88MEHZVL9ExE5A4fqERERERERWcEeJyIiIiIiIisYOBEREREREVnBwImIiIiIiMgKBk5ERERERERWMHAiIiIiIiKygoETERERERGRFQyciIiIiIiIrGDgREREREREZAUDJyIiIiIiIiv+H1EnE+nb8BX9AAAAAElFTkSuQmCC",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create a DataFrame from the PCA output\n",
"pca_df = pd.DataFrame(data = principalComponents, columns = ['PC1', 'PC2'])\n",
"pca_df['Diagnosis'] = y # Or your target variable\n",
"\n",
"# Plot initialization\n",
"plt.figure(figsize=(10, 7))\n",
"plt.scatter(pca_df['PC1'], pca_df['PC2'], c='blue', label='Data Samples')\n",
"\n",
"# Plotting the projection of the original features along the components\n",
"for i, feature in enumerate(features):\n",
" plt.arrow(0, 0, pca.components_[0, i] * max(pca_df['PC1']), pca.components_[1, i] * max(pca_df['PC2']),\n",
" color='r', width=0.005, head_width=0.05)\n",
" plt.text(pca.components_[0, i] * max(pca_df['PC1']) * 1.2, pca.components_[1, i] * max(pca_df['PC2']) * 1.2,\n",
" feature, color='g')\n",
"\n",
"plt.xlabel(\"Principal Component 1 ({}%)\".format(round(pca.explained_variance_ratio_[0]*100, 2)))\n",
"plt.ylabel(\"Principal Component 2 ({}%)\".format(round(pca.explained_variance_ratio_[1]*100, 2)))\n",
"plt.title('PCA Biplot')\n",
"plt.grid(True)\n",
"plt.axhline(y=0, color='k', linestyle='--', lw=1)\n",
"plt.axvline(x=0, color='k', linestyle='--', lw=1)\n",
"plt.legend()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" PC1 PC2\n",
"0 0.407728 -0.113559\n",
"1 0.388027 -0.362938\n",
"2 0.911178 -0.299846\n",
"3 -0.733641 -0.583626\n",
"4 -0.715101 -1.216096\n",
".. ... ...\n",
"925 1.524163 -0.211891\n",
"926 -0.529899 0.545074\n",
"927 1.063982 -1.057945\n",
"928 -2.224410 1.978104\n",
"929 -2.189188 0.713712\n",
"\n",
"[930 rows x 2 columns]"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pca_df\n",
"X = pca_df[['PC1', 'PC2']]\n",
"X"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"inertia = []\n",
"range_values = range(1, 10) # Testing 1 through 9 clusters\n",
"\n",
"for i in range_values:\n",
" kmeans = KMeans(n_clusters=i, random_state=0)\n",
" kmeans.fit(X) # No need for scaled data\n",
" inertia.append(kmeans.inertia_)\n",
"\n",
"plt.plot(range_values, inertia, marker='o')\n",
"plt.title('Elbow Method')\n",
"plt.xlabel('Number of Clusters')\n",
"plt.ylabel('Inertia')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
"kmeans = KMeans(n_clusters=3, random_state=0)\n",
"kmeans.fit(X) # No scaling needed here\n",
"\n",
"# Assign clusters back to our DataFrame\n",
"pca_df['cluster'] = kmeans.labels_\n"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(-3.1753675859764794,\n",
" 4.039114604667914,\n",
" -3.228145025027432,\n",
" 3.7761246972494553)"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10, 6))\n",
"plt.scatter(pca_df['PC1'], pca_df['PC2'], c=pca_df['cluster'], cmap='viridis', marker='o', alpha=0.5)\n",
"centers = kmeans.cluster_centers_\n",
"plt.scatter(centers[:, 0], centers[:, 1], c='red', s=50, marker='x') # Cluster centers\n",
"plt.title('K-means Clustering on PCA Data')\n",
"plt.xlabel(\"Principal Component 1 ({}%)\".format(round(pca.explained_variance_ratio_[0]*100, 2)))\n",
"plt.ylabel(\"Principal Component 2 ({}%)\".format(round(pca.explained_variance_ratio_[1]*100, 2)))\n",
"plt.axis('equal')"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Feature: Pregnancies\n",
"Coefficient: [-0.00033783]\n",
"Intercept: 0.31377731721404295\n",
"Mean Squared Error: 0.1985445010697738\n",
"Feature: Glucose\n",
"Coefficient: [0.00077291]\n",
"Intercept: 0.2358759951404234\n",
"Mean Squared Error: 0.19942531910682523\n",
"Feature: BloodPressure\n",
"Coefficient: [6.2788987e-05]\n",
"Intercept: 0.30863461499124384\n",
"Mean Squared Error: 0.19847331720816716\n",
"Feature: SkinThickness\n",
"Coefficient: [0.01114471]\n",
"Intercept: 0.053697545218214626\n",
"Mean Squared Error: 0.1999797133749224\n",
"Feature: Insulin\n",
"Coefficient: [0.00015303]\n",
"Intercept: 0.2985207532294262\n",
"Mean Squared Error: 0.197827956130146\n",
"Feature: BMI\n",
"Coefficient: [-0.00408052]\n",
"Intercept: 0.41739073762838746\n",
"Mean Squared Error: 0.19816680243869628\n",
"Feature: DiabetesPedigreeFunction\n",
"Coefficient: [0.13243645]\n",
"Intercept: 0.2542836391408048\n",
"Mean Squared Error: 0.19770186938296885\n",
"Feature: Age\n",
"Coefficient: [-0.00095484]\n",
"Intercept: 0.3564713100947105\n",
"Mean Squared Error: 0.1976072934963763\n"
]
}
],
"source": [
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LinearRegression\n",
"from sklearn.metrics import mean_squared_error\n",
"\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"for feature in X.columns:\n",
" \n",
" new_X = X[[feature]]\n",
" \n",
" # Split the data into training and testing sets\n",
" X_train, X_test, y_train, y_test = train_test_split(new_X, y, test_size=0.2, random_state=42)\n",
" \n",
" # Fit linear regression model\n",
" linear_regression = LinearRegression()\n",
" linear_regression.fit(X_train, y_train)\n",
" \n",
" # Make predictions on the testing set\n",
" y_pred = linear_regression.predict(X_test)\n",
" \n",
" # Calculate mean squared error\n",
" mse = mean_squared_error(y_test, y_pred)\n",
" \n",
" \n",
" \n",
" print(f\"Feature: {feature}\")\n",
" print(f\"Coefficient: {linear_regression.coef_}\")\n",
" print(f\"Intercept: {linear_regression.intercept_}\")\n",
" print(f\"Mean Squared Error: {mse}\")"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 0.595\n",
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.75 0.68 0.71 149\n",
" 1 0.27 0.35 0.31 51\n",
"\n",
" accuracy 0.59 200\n",
" macro avg 0.51 0.52 0.51 200\n",
"weighted avg 0.63 0.59 0.61 200\n",
"\n"
]
}
],
"source": [
"from sklearn.metrics import accuracy_score, classification_report\n",
"\n",
"# Convert continuous predictions to binary outcomes using a threshold\n",
"threshold = 0.5 # Example threshold (adjust as needed)\n",
"y_pred_binary = (y_pred >= threshold).astype(int)\n",
"\n",
"# Compute accuracy\n",
"accuracy = accuracy_score(y_test, y_pred_binary)\n",
"\n",
"# Generate classification report\n",
"report = classification_report(y_test, y_pred_binary)\n",
"\n",
"print(\"Accuracy:\", accuracy)\n",
"print(\"Classification Report:\")\n",
"print(report)\n"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 0.64\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/sklearn/linear_model/_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
"\n",
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
"Please also refer to the documentation for alternative solver options:\n",
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
" n_iter_i = _check_optimize_result(\n"
]
}
],
"source": [
"\n",
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score\n",
"\n",
"subset_col1 = ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin','BMI', 'DiabetesPedigreeFunction', 'Age', 'Diagnosis']\n",
"subset_df = df[subset_col1]\n",
"subset_df = subset_df.dropna()\n",
"# subset_df = pd.get_dummies(subset_df, columns=['sex'], drop_first=True)\n",
"# codes, uniques = pd.factorize(subset_df['cabin'])\n",
"# subset_df['cabin'] = codes\n",
"X = subset_df[['Pregnancies','Glucose', 'BloodPressure', 'SkinThickness', 'Insulin','BMI', 'DiabetesPedigreeFunction', 'Age']]\n",
"y = subset_df['Diagnosis']\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=46)\n",
"model = LogisticRegression()\n",
"model.fit(X_train, y_train)\n",
"predicts = model.predict(X_test)\n",
"accuracy = accuracy_score(y_test, predicts)\n",
"print(f'Accuracy: {accuracy}')"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin',\n",
" 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Diagnosis'],\n",
" dtype='object')\n"
]
}
],
"source": [
"print(df.columns)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.model_selection import GridSearchCV\n",
"from sklearn.preprocessing import StandardScaler\n",
"\n",
"scaler = StandardScaler()\n",
"X_train_scaled = scaler.fit_transform(X_train)\n",
"X_test_scaled = scaler.transform(X_test)\n",
"\n",
"param_grid = {'C': [0.001, 0.01, 0.1, 1, 10, 100]}\n",
"grid = GridSearchCV(LogisticRegression(max_iter=1000), param_grid, cv=5)\n",
"grid.fit(X_train_scaled, y_train)\n",
"best_model = grid.best_estimator_\n",
"\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix:\n",
"[[192 0]\n",
" [108 0]]\n"
]
}
],
"source": [
"from sklearn.metrics import confusion_matrix\n",
"\n",
"cm = confusion_matrix(y_test, predicts)\n",
"print(\"Confusion Matrix:\")\n",
"print(cm)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.64 1.00 0.78 192\n",
" 1 0.00 0.00 0.00 108\n",
"\n",
" accuracy 0.64 300\n",
" macro avg 0.32 0.50 0.39 300\n",
"weighted avg 0.41 0.64 0.50 300\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
],
"source": [
"from sklearn.metrics import classification_report\n",
"\n",
"print(\"Classification Report:\")\n",
"print(classification_report(y_test, predicts))\n"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 59.50%\n",
" precision recall f1-score support\n",
"\n",
" 0 0.75 0.68 0.71 149\n",
" 1 0.27 0.35 0.31 51\n",
"\n",
" accuracy 0.59 200\n",
" macro avg 0.51 0.52 0.51 200\n",
"weighted avg 0.63 0.59 0.61 200\n",
"\n",
"[[101 48]\n",
" [ 33 18]]\n"
]
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Importing required libraries\n",
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"from sklearn.tree import plot_tree\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize decision tree classifier\n",
"clf = DecisionTreeClassifier(random_state=42)\n",
"\n",
"# Fit the model\n",
"clf.fit(X_train, y_train)\n",
"\n",
"# Predictions\n",
"y_pred = clf.predict(X_test)\n",
"\n",
"# Accuracy\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"print(confusion_matrix(y_test, y_pred))\n",
"\n",
"# Visualize the decision tree\n",
"plt.figure(figsize=(20,10))\n",
"plot_tree(clf, filled=True, feature_names=X.columns, class_names=['No Diabetes', 'Diabetes'])\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best Parameters: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10}\n",
"Accuracy: 67.00%\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 0.85 0.79 149\n",
" 1 0.24 0.14 0.17 51\n",
"\n",
" accuracy 0.67 200\n",
" macro avg 0.49 0.49 0.48 200\n",
"weighted avg 0.61 0.67 0.64 200\n",
"\n",
"[[127 22]\n",
" [ 44 7]]\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"from sklearn.tree import plot_tree\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize decision tree classifier\n",
"clf = DecisionTreeClassifier(random_state=42)\n",
"\n",
"# Define hyperparameters to tune\n",
"param_grid = {\n",
" 'criterion': ['gini', 'entropy'],\n",
" 'max_depth': [None, 10, 20, 30, 40, 50],\n",
" 'min_samples_split': [2, 5, 10],\n",
" 'min_samples_leaf': [1, 2, 4]\n",
"}\n",
"\n",
"# Initialize GridSearchCV\n",
"grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5)\n",
"\n",
"# Fit the model\n",
"grid_search.fit(X_train, y_train)\n",
"\n",
"# Best parameters\n",
"print(\"Best Parameters:\", grid_search.best_params_)\n",
"\n",
"# Predictions\n",
"y_pred = grid_search.predict(X_test)\n",
"\n",
"# Accuracy\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"print(confusion_matrix(y_test, y_pred))\n",
"\n",
"# Visualize the decision tree\n",
"best_clf = grid_search.best_estimator_\n",
"plt.figure(figsize=(20,10))\n",
"plot_tree(best_clf, filled=True, feature_names=X.columns, class_names=['No Diabetes', 'Diabetes'])\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 70.00%\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 0.93 0.82 149\n",
" 1 0.09 0.02 0.03 51\n",
"\n",
" accuracy 0.70 200\n",
" macro avg 0.41 0.48 0.43 200\n",
"weighted avg 0.57 0.70 0.62 200\n",
"\n",
"[[139 10]\n",
" [ 50 1]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize Random Forest classifier\n",
"clf = RandomForestClassifier(random_state=42)\n",
"\n",
"# Fit the model\n",
"clf.fit(X_train, y_train)\n",
"\n",
"# Predictions\n",
"y_pred = clf.predict(X_test)\n",
"\n",
"# Accuracy\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"print(confusion_matrix(y_test, y_pred))\n"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best Parameters: {'colsample_bytree': 0.7, 'learning_rate': 0.01, 'max_depth': 3, 'min_child_weight': 1, 'n_estimators': 50, 'subsample': 0.7}\n",
"Accuracy: 74.50%\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 1.00 0.85 149\n",
" 1 0.00 0.00 0.00 51\n",
"\n",
" accuracy 0.74 200\n",
" macro avg 0.37 0.50 0.43 200\n",
"weighted avg 0.56 0.74 0.64 200\n",
"\n",
"[[149 0]\n",
" [ 51 0]]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
"from xgboost import XGBClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize XGBoost classifier\n",
"clf = XGBClassifier(random_state=42)\n",
"\n",
"# Define hyperparameters grid\n",
"param_grid = {\n",
" 'learning_rate': [0.01, 0.1, 0.2],\n",
" 'n_estimators': [50, 100, 200],\n",
" 'max_depth': [3, 4, 5],\n",
" 'min_child_weight': [1, 2, 3],\n",
" 'subsample': [0.7, 0.8, 0.9],\n",
" 'colsample_bytree': [0.7, 0.8, 0.9]\n",
"}\n",
"\n",
"# Initialize GridSearchCV\n",
"grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5, scoring='accuracy')\n",
"\n",
"# Fit the model\n",
"grid_search.fit(X_train, y_train)\n",
"\n",
"# Best parameters\n",
"print(\"Best Parameters:\", grid_search.best_params_)\n",
"\n",
"# Predictions\n",
"y_pred = grid_search.predict(X_test)\n",
"\n",
"# Accuracy\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"print(confusion_matrix(y_test, y_pred))\n"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n",
"Accuracy: 74.67%\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 1.00 0.85 222\n",
" 1 1.00 0.03 0.05 78\n",
"\n",
" accuracy 0.75 300\n",
" macro avg 0.87 0.51 0.45 300\n",
"weighted avg 0.81 0.75 0.64 300\n",
"\n",
"[[222 0]\n",
" [ 76 2]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=87)\n",
"\n",
"# Standardize features\n",
"scaler = StandardScaler()\n",
"X_train = scaler.fit_transform(X_train)\n",
"X_test = scaler.transform(X_test)\n",
"\n",
"# Initialize neural network model\n",
"model = keras.Sequential([\n",
" keras.layers.Dense(128, input_shape=(X_train.shape[1],), activation='relu'),\n",
" keras.layers.Dropout(0.5),\n",
" keras.layers.Dense(64, activation='relu'),\n",
" keras.layers.Dropout(0.5),\n",
" keras.layers.Dense(1, activation='sigmoid')\n",
"])\n",
"\n",
"# Compile the model\n",
"model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n",
"\n",
"# Train the model\n",
"history = model.fit(X_train, y_train, epochs=50, batch_size=32, validation_split=0.3, verbose=0)\n",
"\n",
"# Evaluate the model\n",
"y_pred_proba = model.predict(X_test)\n",
"y_pred = (y_pred_proba > 0.5).astype(int).flatten()\n",
"\n",
"# Accuracy\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"print(confusion_matrix(y_test, y_pred))\n"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
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"text": [
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]
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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{
"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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]
},
{
"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
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{
"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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]
},
{
"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
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"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
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},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
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"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"name": "stderr",
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"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
"output_type": "stream",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
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"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
"output_type": "stream",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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{
"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
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"name": "stdout",
"output_type": "stream",
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"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
"output_type": "stream",
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"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
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"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n"
]
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/keras/src/layers/core/dense.py:86: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n",
"Best Random State: 87\n",
"Best Accuracy: 74.00%\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"import numpy as np\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"best_accuracy = 0\n",
"best_random_state = None\n",
"\n",
"# Iterate over a range of random_state values\n",
"for random_state_value in range(1, 101):\n",
" # Split data into training and testing sets\n",
" X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=random_state_value)\n",
"\n",
" # Standardize features\n",
" scaler = StandardScaler()\n",
" X_train = scaler.fit_transform(X_train)\n",
" X_test = scaler.transform(X_test)\n",
"\n",
" # Initialize neural network model\n",
" model = keras.Sequential([\n",
" keras.layers.Dense(128, input_shape=(X_train.shape[1],), activation='relu'),\n",
" keras.layers.Dropout(0.5),\n",
" keras.layers.Dense(64, activation='relu'),\n",
" keras.layers.Dropout(0.5),\n",
" keras.layers.Dense(1, activation='sigmoid')\n",
" ])\n",
"\n",
" # Compile the model\n",
" model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n",
"\n",
" # Train the model\n",
" model.fit(X_train, y_train, epochs=50, batch_size=32, validation_split=0.3, verbose=0)\n",
"\n",
" # Evaluate the model\n",
" y_pred_proba = model.predict(X_test)\n",
" y_pred = (y_pred_proba > 0.5).astype(int).flatten()\n",
"\n",
" # Calculate accuracy\n",
" accuracy = accuracy_score(y_test, y_pred)\n",
"\n",
" # Check if current model has higher accuracy\n",
" if accuracy > best_accuracy:\n",
" best_accuracy = accuracy\n",
" best_random_state = random_state_value\n",
"\n",
"# Print the best random_state and accuracy\n",
"print(f'Best Random State: {best_random_state}')\n",
"print(f'Best Accuracy: {best_accuracy * 100:.2f}%')\n"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best Parameters for XGBoost: {'colsample_bytree': 0.7, 'learning_rate': 0.01, 'max_depth': 3, 'min_child_weight': 1, 'n_estimators': 50, 'subsample': 0.7}\n",
"XGBoost Accuracy: 74.50%\n",
"XGBoost Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 1.00 0.85 149\n",
" 1 0.00 0.00 0.00 51\n",
"\n",
" accuracy 0.74 200\n",
" macro avg 0.37 0.50 0.43 200\n",
"weighted avg 0.56 0.74 0.64 200\n",
"\n",
"XGBoost Confusion Matrix:\n",
"[[149 0]\n",
" [ 51 0]]\n",
"\n",
"Logistic Regression Accuracy: 74.50%\n",
"Logistic Regression Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 1.00 0.85 149\n",
" 1 0.00 0.00 0.00 51\n",
"\n",
" accuracy 0.74 200\n",
" macro avg 0.37 0.50 0.43 200\n",
"weighted avg 0.56 0.74 0.64 200\n",
"\n",
"Logistic Regression Confusion Matrix:\n",
"[[149 0]\n",
" [ 51 0]]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
"from xgboost import XGBClassifier\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize XGBoost classifier\n",
"clf = XGBClassifier(random_state=42)\n",
"\n",
"# Define hyperparameters grid\n",
"param_grid = {\n",
" 'learning_rate': [0.01, 0.1, 0.2],\n",
" 'n_estimators': [50, 100, 200],\n",
" 'max_depth': [3, 4, 5],\n",
" 'min_child_weight': [1, 2, 3],\n",
" 'subsample': [0.7, 0.8, 0.9],\n",
" 'colsample_bytree': [0.7, 0.8, 0.9]\n",
"}\n",
"\n",
"# Initialize GridSearchCV for XGBoost\n",
"grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5, scoring='accuracy')\n",
"\n",
"# Fit the XGBoost model\n",
"grid_search.fit(X_train, y_train)\n",
"\n",
"# Best parameters for XGBoost\n",
"print(\"Best Parameters for XGBoost:\", grid_search.best_params_)\n",
"\n",
"# Predictions for XGBoost\n",
"y_pred_xgb = grid_search.predict(X_test)\n",
"\n",
"# Accuracy for XGBoost\n",
"accuracy_xgb = accuracy_score(y_test, y_pred_xgb)\n",
"print(f'XGBoost Accuracy: {accuracy_xgb * 100:.2f}%')\n",
"\n",
"# Classification Report for XGBoost\n",
"print(\"XGBoost Classification Report:\")\n",
"print(classification_report(y_test, y_pred_xgb))\n",
"\n",
"# Confusion Matrix for XGBoost\n",
"print(\"XGBoost Confusion Matrix:\")\n",
"print(confusion_matrix(y_test, y_pred_xgb))\n",
"\n",
"# Initialize Logistic Regression classifier\n",
"log_reg = LogisticRegression(random_state=42, max_iter=10000) # Increased max_iter for convergence\n",
"\n",
"# Fit the Logistic Regression model\n",
"log_reg.fit(X_train, y_train)\n",
"\n",
"# Predictions for Logistic Regression\n",
"y_pred_log_reg = log_reg.predict(X_test)\n",
"\n",
"# Accuracy for Logistic Regression\n",
"accuracy_log_reg = accuracy_score(y_test, y_pred_log_reg)\n",
"print(f'\\nLogistic Regression Accuracy: {accuracy_log_reg * 100:.2f}%')\n",
"\n",
"# Classification Report for Logistic Regression\n",
"print(\"Logistic Regression Classification Report:\")\n",
"print(classification_report(y_test, y_pred_log_reg))\n",
"\n",
"# Confusion Matrix for Logistic Regression\n",
"print(\"Logistic Regression Confusion Matrix:\")\n",
"print(confusion_matrix(y_test, y_pred_log_reg))\n"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Logistic Regression Accuracy: 74.50%\n",
"Logistic Regression Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.74 1.00 0.85 149\n",
" 1 0.00 0.00 0.00 51\n",
"\n",
" accuracy 0.74 200\n",
" macro avg 0.37 0.50 0.43 200\n",
"weighted avg 0.56 0.74 0.64 200\n",
"\n",
"Logistic Regression Confusion Matrix:\n",
"[[149 0]\n",
" [ 51 0]]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize standard Logistic Regression classifier\n",
"log_reg = LogisticRegression(random_state=42, max_iter=10000) # Increased max_iter for convergence\n",
"\n",
"# Fit the Logistic Regression model\n",
"log_reg.fit(X_train, y_train)\n",
"\n",
"# Predictions for Logistic Regression\n",
"y_pred_log_reg = log_reg.predict(X_test)\n",
"\n",
"# Accuracy for Logistic Regression\n",
"accuracy_log_reg = accuracy_score(y_test, y_pred_log_reg)\n",
"print(f'Logistic Regression Accuracy: {accuracy_log_reg * 100:.2f}%')\n",
"\n",
"# Classification Report for Logistic Regression\n",
"print(\"Logistic Regression Classification Report:\")\n",
"print(classification_report(y_test, y_pred_log_reg))\n",
"\n",
"# Confusion Matrix for Logistic Regression\n",
"print(\"Logistic Regression Confusion Matrix:\")\n",
"print(confusion_matrix(y_test, y_pred_log_reg))\n"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Decision Tree Accuracy: 59.50%\n",
"Decision Tree Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.75 0.68 0.71 149\n",
" 1 0.27 0.35 0.31 51\n",
"\n",
" accuracy 0.59 200\n",
" macro avg 0.51 0.52 0.51 200\n",
"weighted avg 0.63 0.59 0.61 200\n",
"\n",
"Decision Tree Confusion Matrix:\n",
"[[101 48]\n",
" [ 33 18]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Initialize Decision Tree classifier\n",
"clf = DecisionTreeClassifier(random_state=42)\n",
"\n",
"# Fit the Decision Tree model\n",
"clf.fit(X_train, y_train)\n",
"\n",
"# Predictions for Decision Tree\n",
"y_pred = clf.predict(X_test)\n",
"\n",
"# Accuracy for Decision Tree\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Decision Tree Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report for Decision Tree\n",
"print(\"Decision Tree Classification Report:\")\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix for Decision Tree\n",
"print(\"Decision Tree Confusion Matrix:\")\n",
"print(confusion_matrix(y_test, y_pred))\n"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 57.50%\n",
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.73 0.69 0.71 149\n",
" 1 0.21 0.24 0.22 51\n",
"\n",
" accuracy 0.57 200\n",
" macro avg 0.47 0.46 0.46 200\n",
"weighted avg 0.59 0.57 0.58 200\n",
"\n",
"Confusion Matrix:\n",
"[[103 46]\n",
" [ 39 12]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"from imblearn.over_sampling import RandomOverSampler\n",
"from sklearn.preprocessing import StandardScaler\n",
"\n",
"# Load data from CSV file\n",
"file_path = './data/Diabetes_prediction.csv'\n",
"df = pd.read_csv(file_path)\n",
"\n",
"# Split dataset into features and target variable\n",
"X = df.drop('Diagnosis', axis=1)\n",
"y = df['Diagnosis']\n",
"\n",
"# Split data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
"\n",
"# Standardize features\n",
"scaler = StandardScaler()\n",
"X_train = scaler.fit_transform(X_train)\n",
"X_test = scaler.transform(X_test)\n",
"\n",
"# Oversampling the minority class\n",
"oversampler = RandomOverSampler(random_state=42)\n",
"X_train_resampled, y_train_resampled = oversampler.fit_resample(X_train, y_train)\n",
"\n",
"# Initialize Decision Tree classifier with high variance\n",
"clf = DecisionTreeClassifier(criterion='entropy', max_depth=None, min_samples_split=2, min_samples_leaf=1, random_state=42)\n",
"\n",
"# Fit the model\n",
"clf.fit(X_train_resampled, y_train_resampled)\n",
"\n",
"# Predictions\n",
"y_pred = clf.predict(X_test)\n",
"\n",
"# Accuracy\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f'Accuracy: {accuracy * 100:.2f}%')\n",
"\n",
"# Classification Report\n",
"print(\"Classification Report:\")\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"print(\"Confusion Matrix:\")\n",
"print(confusion_matrix(y_test, y_pred))\n",
"\n"
]
}
],
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