From bdd8a084ccad9bbe900af11981d04dbc8c7b2e85 Mon Sep 17 00:00:00 2001 From: Lance Martin Date: Thu, 8 Feb 2024 14:42:13 -0800 Subject: [PATCH 01/14] Updates to support running locally --- examples/rag/langgraph_crag_mistral.ipynb | 184 +++++++++++++++------- 1 file changed, 127 insertions(+), 57 deletions(-) diff --git a/examples/rag/langgraph_crag_mistral.ipynb b/examples/rag/langgraph_crag_mistral.ipynb index c1289061e..3026b79a0 100644 --- a/examples/rag/langgraph_crag_mistral.ipynb +++ b/examples/rag/langgraph_crag_mistral.ipynb @@ -2,26 +2,17 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "id": "19969669-b47f-47f3-b6d4-f7b155434840", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n", - "\u001b[0m" - ] - } - ], + "outputs": [], "source": [ - "! pip install --quiet langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph tavily-python langchain-mistralai" + "! pip install --quiet langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph tavily-python langchain-mistralai gpt4all" ] }, { "attachments": { - "9db7f9db-55aa-48cb-95d5-bcde3f937589.png": { + "a65940f9-5c51-4d7c-9ca1-ae576e4bb51a.png": { "image/png": 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JXTtbszWzzEqaDygVqlUzq1HDPp78mb37/ge29957l2q+odQ8TEAAAQQQQAABBAoosM022yRqcLhVqAPtcNNLaqYoalBtAz9TXE0xvfTSS2lnD7fY7s+bbqaWLVum+8rK6ry7ItLnJ26fffbxR5PDZ599dnI43YCa/VJfHSrYUGGQOg/XtObNm9tvfvMbmz9/fmBWfVcRhR6uAMOt/F//+pcbTPlZo+T+14XwvG46nwgggEBYgEKPsAjjCCCAAAIIIIBAAQX0cL7pppvakiVL7M/DHrIu+/6n3esLzu1jZ9z3hL096Pe2ZvrUYAr+v8Bj/Cab2wXX3ZroRPKxxx4LxmEMAQQQQAABBBCoYIFWrVoF1qhCj1xCeP7Zs2dbv379Ii8ySjNPah6qvKEi0ufSpj4zyiqEcXH9T3VcfssttyT6LfGnu2GZ6q9YQf2P+CGb/ev33+Ivg2EEEEAgLEChR1iEcQQQQAABBBBAoEAC6oiyT58+pjceRz0/zrYtaULBhfseHG4HH9jVznxktD3W+xhb+/3/N+1Q0vyAang8vaKODbrlNrvgggvs9ttvd7PxiQACCCCAAAIIFE0gXOgR7p9DCVOfDeHCiLPOOitlmtWPQy5B/VUUMlRk+tq0aZP1pqxbty5RSPTaa69lPW9FzZCLYZ06JU3BEhBAAIEIAhR6REAiCgIIIIAAAgggkKvAPffcYwMuvbRkMRusYckbhq1aB9+M1PLvuXeYXT7gYjvriRfskVN62Lq5M616g0Y25Mcldsf9Q+z666+3yy+/PNekMD8CCCCAAAIIIJAXgRYtWgSWoxc8Li2531EtBRc6derkBpOf+l4dhYdDqo7QDznkkHC0tOO77rpr2u/y8UVFpk81g7MN6jslXOBx2GGH2aGHHmpKuwoNVBNETV09//zzif7hsl1HrvF33HHHQBNm6lhe/ZJECc2aNYsSjTgIIICAUejBQYAAAggggAACCBRYoH///jZkyBBrvWUNmzx8X2t72gQ7v28fG/74XwNr7ljyoP7A8MdtwCX9bOcr77DHLuxjYz+fZSPHPG8PPfSQ9e7dOxCfEQQQQAABBBBAoJgC6hvCDyrIeOqpp6xv377+5MjD1Uqa9FTBxeTJk5PzDB482Jo2bZocL+ZARabP78si6jaPGTMmEPWOO+6wE088MTDNjahT8I8++siNlvkZ7rRe+1oFKLVq1SpzXj9Cu3btAgUz6sj+qKOO8qMwjAACCOQsUNJeAgEBBBBAAAEEEECgUALHH3+83VtS4NFx200SBR5az+u37mjffzvdHrp/WKnVttl6a7vrnj/b8lVr7JwH/mpjXn7F9ABLgUcpKiYggAACCCCAQJEFVNPj5JNPDqRi2LBhNmvWrMC0bEa23377QPS7777bwh2WByJU8Eic06eCDD/07NnTHw0M//3vfw+MRxlRgYUfvv76a3800vB2XvOumuHee++1pUuXRpqXSAgggEBUAQo9okoRDwEEEEAAAQQQyFJg33272gsvPG/dOtW3d+7pkpy7XasG1r9nI3vy8eH2yMMPJKdr4JOJE6zv2WeUdFxZw2qVVPV/6aWX7OCDDw7EYQQBBBBAAAEEEIiLwEUXXRRIijqbVpNUb731VmB61JFevXoFoqrJrBtvvNFWrFgRmF6skTinL9xfxi+//JKS6bHHHrMZM/6//7iUMVJPbN++feCLW2+91dauXRuYVtbIgQceGGj+bOrUqYk+7+bNm1fWrHyPAAIIRBaocW1JiBybiAgggAACCCCAAAKRBHbcob19WtI0w2mHbG6PDdyt1Dx77dDEJkydY8+++J59M/0bO+Sww+3xR4fbbTffYNWrVzO9OammHbbZZptS8zIBAQQQQAABBBCIi0CjRo1syZIlNmnSpGSS1qxZY2PHjrWvvvrKfvzxx8T36mRbNUAmTJhQ8lLIC8m4HTt2TBSSuAmtW7e22bNn2xdffOEm2SeffGKPPvpoojmlX3/9NVEzQIUr3377bWJ5L7/8csn9U3ULd6yuBahGg7+sE044wbSOVOG5555LpNd997//+78W7lsjX+lT01Affvhhon+LH374IWHl175Qvye6D9R3+lOhQLgPFZdO96nt9JsG07B8t9hii0ShkcaHDx9ud911l5sl+al99vPPP5tcFT9VPxval++9915yHnVcr30pe82nP9X+ULNZb775pqkPjiZNmiTja6BevXqJ7fjb3/6WnK4+Rh588MHE+pcvX27ax/rTdivN6qdk+vTpiW1JzsQAAgggkEGgWkkVwQ0ZvucrBBBAAAEEEEAAgSwFWrZoarPn/GxX9m5tl564bca5z73z3zbuX8tLOpasV5Ih8Ks1aNDAdt5558ADZcYF8CUCCCCAAAIIIFBkgYULF9rFF19s77zzTtYpUZ8ON998c2C+RYsWWdeuXVN2dh6I6I3069fPLrvsMm/KfwYvv/xye+aZZ5LTVXNEy04V/ud//sc++OCD5Ffjx4+3tm3bJsfdQD7SN3fuXNtrr73cIiN9qmBps802SxtXtWvOOuustN/7X6gD8SlTpiQKKvzpGh41alTKtKm2Tffu3ROFUuF5Uo3fd9991qNHj1JfKSvyzDPPzOp4UV8vL774YqllMQEBBBBIJUDzVqlUmIYAAggggAACCJRDQE0IbNqkkc2d+7MN69+uzAIPreLBAR3tprNb2uLFC0sKPurYvvvuS4FHOeyZBQEEEEAAAQSKJ6DaEGoy6YYbbshLIlQ7QDUFjj322MjLU62PigrFSl9Z7y0fdNBBdsYZZ0RiGDBgQKCZqSgz1a1b19Q5etSgmiGpgjqEf+CBB6x///6pvk45TTU9CAgggEBUAQo9okoRDwEEEEAAAQQQyCDw2WefWetWLWzF8iX23PUd7OTuLTLE/u9Xq9eut3tGfW96+FNnk+PGjfvvlwwhgAACCCCAAAKVREBNHCnD/e2337bTTz/dOnXqlDHl2267bSJeuI8MN1Pz5s1t6NChppoZqpWg5p4yhXSdYSujPmpQ00tRQ77SF3V9UeNdc801ic7B27Rpk3IWWapJKu2fskxTLWC//fZL1IY58cQTy5xfzWWlC9ovl1xySaK2x29/+1uTZ1lh2bJlZUXhewQQQCAhQPNWHAgIIIAAAggggECOAg8//LBdcMF5tkmN9fbukM62XYvMD+VuddNnLrODB0y2ZSvXmzoBTdW+sovLJwIIIIAAAgggUNkEVDNhzpw5NnPmzER/HKoRov4i9FmzZs2sN8f186BPdaCtWrKbb755oo+IbAo3sl5xxBnilD7Zq48N2aufDPmoT5CtttoquTXqY0Xx1AG6+vDQZ61atSLvG82rGjbqb2T9+vW2atWqxHrUz4sKMcL9eSRXnGZg5cqVpv495s+fbxrW/m3cuHEi3fokIIAAAlEFKPSIKkU8BBBAAAEEEEAghYA61ex7zjnWsN4G++rJ/axWzWgVacdPmm+n3/yVrVi1PtH2sgpOCAgggAACCCCAAAIIIIAAAgggkJtAtKfy3NbB3AgggAACCCCAwEYpcOWVV1qfPmdbi82r2bcjD4hc4DHizZl20vVTbfXaavbII48YBR4b5eHBRiGAAAIIIIAAAggggAACCBRBIPu6hEVIJKtEAAEEEEAAAQTiJqD2p1944XnbaZta9t69XSIn785RM2zwX38qqfpfz55//nk79NBDI89LRAQQQAABBBBAAAEEEEAAAQQQyCxAoUdmH75FAAEEEEAAAQRKCRx00EE2fvzbtnu72vbGnfuU+j7dhD8+MNWGvzq/pB3rzewf//iH7bjjjumiMh0BBBBAAAEEEEAAAQQQQAABBMohQKFHOdCYBQEEEEAAAQSqrsCuu3a0f//7czup22Z2/6UdI0Occ/tnNvaDX61Vq9b2xRdfWP360To7j7wCIiKAAAIIIIAAAggggAACCCCAgFHowUGAAAIIIIAAAghEFNi6TSv78aeZdtkpLe2KU38TcS6zo/80yT6autw6dOhokyZNijwfERFAAAEEEEAAAQQQQAABBBBAIDsBCj2y8yI2AggggAACCFRRgSaNG9rSpcvsoT+0t+MPaB5ZoeuFE236T6ts7332STRpFXlGIiKAAAIIIIAAAggggAACCCCAQNYC1bOegxkQQAABBBBAAIEqJDBr1ixr2KCerVi+zF68qUPkAo95i1bZzmd/ZF+XFHicfMopFHhUoWOGTUUAAQQQQAABBBBAAAEEECieAIUexbNnzQgggAACCCAQc4EJEybYtm23sfXrVtlH9+9hXTtsFinFH09bbHtd8InNW7TW+vXrZ08++WSk+YiEAAIIIIAAAggggAACCCCAAAK5CVDokZsfcyOAAAIIIIDARiowduxY69JlH6tXa6399Ox+tnXTepG29MUP5trRg/5tvy5ba9ddd53dfffdkeYjEgIIIIAAAggggAACCCCAAAII5C5AoUfuhiwBAQQQQAABBDYygWuvvdZ69uxpzTY1mzHyAKtWrVqkLXzwpe+tz23TbP2GGvbQQw/ZFVdcEWk+IiGAAAIIIIAAAggggAACCCCAQH4E6Mg8P44sBQEEEEAAAQQ2EoFTSvrfePbZZ6zNVjXt04f3jbxV1z8+ze59fq7VqVPXRo8ebUcccUTkeYmIAAIIIIAAAgggkJ3A4sWLbcaMGTZ//nxbuHChbbfddta5c+fsFkLsMgU2bNhg48aNs3Xr1tmWW25pW221VcK6enXeoy4TjwgIIFA0gWolJ68NRVs7K0YAAQQQQAABBGIkcPDBB9vbb79lu2xX28bfvU/klF107xc28u2F1qTJpiXzv20dOnSIPC8REUAAAQQQQAABBKIJKAvrb3/7W8kLKs/aW2+9FZjpkksusf79+wemMZK7wNq1axOFHP6SNt98c+vVq5edffbZ1qJFC/8rhhFAAIFYCFDoEYvdQCIQQAABBBBAoNgCe+yxh33yycd2aOcG9sw10d8SPP2myfb3j5dai5at7LPPPrOGDRsWe1NYPwIIIIAAAgggsNEJzJw5M9F06DvvvJNy22699VZTjd2NOaigZ968eYlNrFWrlh1zzDFWs2bhG3HZfffdbcGCBSlpb7jhBuvdu3fk5mBTLoSJCCCAQJ4FCn9mzHOCWRwCCCCAAAIIIJBvge2229a+/fZbu7hXc7vmf9tHXvwRAyfZJ9OWW8eOu9jHH38ceT4iIoAAAggggAACCEQXUIGHMvjTZbxrSc2aNUu5wGXLltnq1auT36mwoH79+snx8MDSpUttzZo1icl16tSxunXrhqMUbVx9xn3wwQfJ9e+2227Wtm3b5HihBrSOdPZXXXWVzZo1ywYOHFio1bNcBBBAIGsBCj2yJmMGBBBAAAEEENiYBJo13dLmzV9gQy/6jZ12SMtIm7Z67XrreuHH9uPPa+zggw+xV199NdJ8REIAAQQQQAABBBDITkB9d6gGRzjTvU2bNtajRw/r1KmTKfO/adOmKRe85557mgo+XNh2220TTWNVq1bNTUp+al277LJLclwZ+eeff35yvKoOPP300zZ16lT79NNPbeLEiTZ27NgAxbBhw0xNXvXt2zcwnREEEECgWDd7CaQAAEAASURBVAIUehRLnvUigAACCCCAQFEF9AbfFptvaitWLLe/3bqL7blDk0jp+WbmMusx6N/2y5L1duKJJ9qIESMizUckBBBAAAEEEEAAgewF7r77bvvhhx8CM3bt2tVU66FBgwaB6alG/AIPfa/Ozz/66CPbe++9S0VX/xV+SFUw4n9fVYY32WSTRGGQCoTOOOMMO/bYY61Pnz6Bzb/xxhvtsMMOs6233jownREEEECgGALVi7FS1okAAggggAACCBRTQG+pNWrUwNasXmGTH94rcoHH+E8XWPdLJ9uCX9cl3vqjwKOYe5F1I4AAAggggMDGLqDaBY8++mhgM1W747HHHotU4BGY0RvhHs7DKMfgIYccYqNGjSrVTJgKPggIIIBAHAQo9IjDXiANCCCAAAIIIFBhAur8cs8997DqG9bYrNH7W/PN60Ra9+C/fm0nXz/Vlq9ab9dcc40NGTIk0nxEQgABBBBAAAEEECifwMiRIwMzqkmre++912rXrh2Ynu2ImmeaP39+trMR3xPYa6+97Pbbb/emmL3++uv2008/BaYxggACCBRDgEKPYqizTgQQQAABBBAoisDQoUPtoIO625aNzGaOPiByGu4cNcPuGjXb1m+oZvfff79deeWVkeclIgIIIIAAAggggED2AqtWrbLRo0cHZjznnHOsZs38tNQ+ZsyYwLIZyV5AzVmpLw8/vPTSS/4owwgggEBRBCj0KAo7K0UAAQQQQACBiha4+OKL7eKLL7Ltmte0KY/vF3n1f3zwS7vlqZlWt179RKeNetgmIIAAAggggAACCBRWYMKECYEOyLW24447Lm8rfeSRR2zdunV5Wd6KFSvs888/T9wrjh8/3mbNmmUbNmwo17KXLl2a6HNEhTJaVrg/k/IsVH2VfP311/bqq6/aK6+8Yl999ZWtXr26PIsKzKO+Ps4666zAtHHjxgXGGUEAAQSKIZCf4vFipJx1IoAAAggggAACEQV69uxpL7zwgu21Yx177bbSnVamW8yRf/zIPvl6jW266eb2xhtvJDpwTBeX6QgggAACCCCAAAL5E5gyZUpgYepAu3HjxoFp2Y60a9cukfmv+WbPnm3vv/++HXBA9Nq/4fVNmjTJrrjiClPfI+FQv359O+mkk2zgwIFWp07Zzal+9tlndumllybT5y9PNSruvPNOf1KkYRV0DBo0KFGIkmqGAw880AYPHmytWrVK9XWkadrGO+64IxlXhT9r1qwxFYgQEEAAgWIJUNOjWPKsFwEEEEAAAQQqRGC77bYreevuBTu6S6OsCjx6XfOpTZq+1pq3aJl4G26XXXapkPSyEgQQQAABBBBAAAFL1JzwHfbZZx9/tFzDWkaHDh2S8/71r39NDmczsH79envggQcSNU9SFXhoWcuWLUt0wn700Ufb9OnTMy7+xRdftGOOOSZlgYdmVF8ZAwYMyLgM/0vVMlFn7epw/KOPPvK/Cgyrr7t999038XJQ4IssRpo2bWoqTPJDWdvrx2UYAQQQKIQAhR6FUGWZCCCAAAIIIBALgR122MG+/XaGHdu1iT05qFPkNHW79BP74IsV1mbrbey7774rqemxaeR5iYgAAggggAACCCCQu8C0adMCC9lqq60C4+UZqVatmp155pnJWV977bVEU1TJCREH1NeIakhECaptodoQK1euTBn9iy++sAsvvDDld/7EbDoJVxNTquERNagZ2G+//TZq9FLxWrZsGZj2/fffB8YZQQABBCpagEKPihZnfQgggAACCCBQIQItWzQveVtumt1+Xlt7bOCukdY5b9Eq63TuBPvyh1V24IHdLPywHWkhREIAAQQQQAABBBDIWWDRokWBZWy55ZaB8fKO9OjRw9T0lAujRo1yg5E+VXhxyy23lIqrZq6eeeYZGzZsmHXr1i3w/YIFC+ypp54KTHMj9913nxtMft5666324Ycf2sSJExPzudopUfr3UF8dt912W3JZGlBn45qmwhD9adg3UByts7yhefPmgVmXLFkSGGcEAQQQqGgBCj0qWpz1IYAAAggggEDBBTZt0th+/nmuvXJzR+tzVJtI6/v4q8W2T79JNmvBWuvZs5fpzT8CAggggAACCCCAQHEEfv3118CK81HTQwtUZv8pp5ySXPbjjz9u6ug7alDhhQox/KC+48477zxT81lHHXWUDR8+3Hr16uVHSfR7oSav/KDaFeGOv9UsldLXokULU0GPmp8aO3asde3a1Z817fDTTz8d6PxcTU+99dZbdvLJJ1vHjh0TfxpW01YqDHFBnZyrVkp5QrjQI7yd5Vkm8yCAAAK5CFDokYse8yKAAAIIIIBArATmzZtn9erVsZUrltiUx/exvXeK1izVix/MtWOv/NyWLF9v5557ro0cOTJW20ViEEAAAQQQQACBqiSgPinCGef16tXLG4Ey/V1QAYYKBaKG8ePHB6KquaxOnYLNqNasWTPRwbkfUdvz73//259k7733XmBcBRv77bdfYJpGtDx1iB4lvPnmm4FoqsHRpEmTwDSNqEBFtVP8UN6+OMK1cKjp4asyjAACxRCg0KMY6qwTAQQQQAABBPIuMGnSJGvZsoVV27DGZj93gG3ZuFakdTz40vd29m3TbNWaDXbVVVfZ0KFDI81HJAQQQAABBBBAAIHCCKjvjUKG7bff3vbYY4/kKrLp0Dzc/Kn660gVVDNFTWn5YebMmf6ozZ49OzCeblmKtOuu0ZprnTFjRnKZ2267rXXu3Dk5Hh7o3r17YNKPP/4YGI86Eq4pU6NGjaizEg8BBBAoiEDNgiyVhSKAAAIIIIAAAhUo8Oijj1rfc86xzRtVs6+e3D/ymq9/fJoNfWGu1ahR0wYMGJAo9Ig8MxERQAABBBBAAAEECiagZqj82h6LFy+2xo0b5219qqGhPjMU1NTTd999Zw0bNsy4fGXuhwsq2rZtm3ae9u3b28svv5z8Plyo8NNPPyW/04AKKTKFHXfc0aZOnZo2itLn9/uxYsUKe+mll9LGV40aP/jz+tPLGp4zZ04gSoMGDQLjjCCAAAIVLUChR0WLsz4EEEAAAQQQyKuAqvqrM8a2zWrYxw/uG3nZF977uT07frHVrVs/0UHk0UcfHXleIiKAAAIIIIAAAggUVkD9TfiFHj///HNeCz0OP/zwRP8ebh3qhPyckpdoMoVw5r7ihjsE9+cPN/sULvQI1/zYYost/NlLDW+6aeamW8PpUwFNv379Si0n3YSFCxem+yrj9Llz5wa+p9AjwMEIAggUQYDmrYqAzioRQAABBBBAID8C6uRR7RR3alcrqwKP026abKPf/dWabLqZvfvuu0aBR372B0tBAAEEEEAAAQTyJRDO4FffbfkMtWvXNtX2cEEdmq9cudKNpvysXj27bLRwTYpws13h9YW/T5mIDBM32WSTDN+W/VXdunXLjpQixqxZswJTU/UhEojACAIIIFBgAWp6FBiYxSOAAAIIIIBAYQQOPPDARIHF4Xs2sqevDnYemWmNRw2aZJO+XmWtWm9t//rXv2yzzTbLFJ3vEEAAAQQQQAABBIogsPPOO9vkyZOTaw7XJkh+kcOAOjS/7777EktQjY9XX30149LUT0c4qNPudM1ihdPcpk2bwOytW7e2zz//PDlNTXi1aNEiOZ7tQKr0HXLIIZEXE7XfkPACs22mKzw/4wgggEC+BSj0yLcoy0MAAQQQQACBggt06NDBpkz5ws46Yku76/c7RVrf6rXrrfuln9q3s1fbLrvsmijwiDQjkRBAAAEEEEAAAQQqXED9V/jh73//u/Xs2dOflPPwNttsY3qRRn16KKi2R6ZQs2ZNU8GF3/fF9OnTrVOn1C/gTJkyJbA4FXL4oVWrVv6oqbmr8HYHIpQxopoiKrjwC4sGDx5sTZs2LWPO8n/9zTffBDy0pHDhTvmXzpwIIIBA+QSyq5dXvnUwFwIIIIAAAgggkDeB5s2bl3TgOMWuP3vryAUe02cus059J9qM2Wtsv/0PoMAjb3uDBSGAAAIIIIAAAoUR6NixY2DB6hA83GdFIEI5R04//fTknH5hhiaGm6fStHBn4yNGjNDkUkEFGG+88UZgeriQIzw+ZsyYQPzwyLfffhueVGp8++23D0y7++67U25HIFIOI0899VRg7q5du1q2zYAFFsAIAgggkAcBCj3ygMgiEEAAAQQQQKBiBLbYfDObP2+uPXhpO+t33DaRVjp+0nw7eMBnNv/Xdfbb3/7WXn/99UjzEQkBBBBAAAEEEECgeAKqsaDOzP2gzsbzHQ466KBS68m0jiOPPDLw9ahRo2z8+PGBaeqr4+qrrw5M07aEC3L22GOPQBwV7Hz66aeBaW7kvffeM3VMXlbo1atXIMrIkSPtxhtvtBUrVgSm52NETYJp+X445phj/FGGEUAAgaIIUOhRFHZWigACCCCAAALZCtStW8eWLl1k00d0seMPbB5p9ptHTLf/ufFLW7F6gx133HH29NNPR5qPSAgggAACCCCAAALFFVBtgVNPPTWQCDU/le/MezVZ5XdoHlhhipETTjihVPNNml8FC6qp8eSTT9opp5xSqpbHH//4R6tTp05giWqyVYUuftBLOk888URJzeapieauJk2aZLfccouddtppfrS0w126dDH1VeKHhx9+2Dp37myq9fHaa68lCla++OKLRO3n559/3u644w775z//6c8SafiFF14wFXz44YgjjvBHGUYAAQSKIlCtpKrehqKsmZUigAACCCCAAAIRBNRO8E477Wi1aqy3H5/dL8Ic/4ly16gZNnjEzJKRanbllVfatddeG3leIiKAAAIIIIAAAggUX0BNRKm5JD8ce+yxdu+995r6r4gStt5662S0M844w2644YbkuBuYNWuWqbAgHAYOHGjnn39+eLKpRsYFF1xQanq6Cerj4u233zYVsITDxx9/bOHaGeE4bly1RRYsWOBGEzVM2rZtmxx3A4sWLUq4hQsk3PepPvv162eXXXZZqq9STlOhTLiAQ4VUN998c8r4TEQAAQQqUoCaHhWpzboQQAABBBBAICsBNRew/fbtrVHddVkVeAx88Eu7ZeSskgfLTezPf/4zBR5ZqRMZAQQQQAABBBCIh0DLli3tD3/4QyAxL774ol188cX266+/BqbnMtKiRQs7/PDDIy+iR48edtddd0WKv9dee5nuaVMVeGgBrgZGWQvr1q1b5MKRJk2a2JtvvmkqIIoaovQX4pb17rvv2vHHH+9GE5/169cvta8CERhBAAEEKlCAQo8KxGZVCCCAAAIIIBBd4MILL0xUzW+1RXX7+q/7R57xnNs/s8de/6Wk+YB6pnafzzvvvMjzEhEBBBBAAAEEEEAgXgJ9+/Y19e/hh7Fjx5oKAe68805T80+qqbF27Vo/SsrhunXrppyuiX6H5i5SvXr13GCpT2X6v/XWW4l0KMM/HFS7QwU26vOiWbNm4a8D46rp8corr1i4jw9F0nJUg+Ivf/mLqXAmamjevLkNHTo0sf7999/fUqXRX9bSpUv90cDwkiVLbPr06YkaLn369LHevXuXatZKTXCF+2AJLIQRBBBAoAIFaN6qArFZFQIIIIAAAghEE1C7yE+WtGXcpmkN+/Th6E1a9brmU/vn1JXWqFGTxEOZ3pwjIIAAAggggAACCFRuATXXpL40vv7667Qb8uijj5bqHyNt5Dx/oZbjVfCiv0022cTatWtXZiFDuiSo8EYFDIsXL7ZtttnGmjZtmoyqwgfVcFFhjP5q166d/C7KgOb94YcfEsvQetTHiAoqVJiSqUBINUYmT56cdhVqMkxNhxEQQACBuAhQ6BGXPUE6EEAAAQQQQCAhcOihhyY6fuzeqYGNuT56ocXBl02yL79fbS1btbb333/fttxyS0QRQAABBBBAAAEENhIBFQLcdNNNiZq8qTZp8ODBkTv7TjU/09IL7L777oG+RFxMFZiohsdhhx3mJvGJAAIIxEKgdA9KsUgWiUAAAQQQQACBqiiw22672Wclb5GdevDm9pdLOkQimLd4tfW44nObuWCt7bRzB5swYUKk+YiEAAIIIIAAAgggUHkEGjdubLfddlui+VM1YTpu3LhAE0tz5sypPBtTiVK6evXqUgUeHTp0sOOOOy6xLxo1alSJtoakIoBAVRGgpkdV2dNsJwIIIIAAAjEXaNu2rf3w/ff2x1Nb2uWnbBcptR9PW2z/c9OXtmxldevSpUuihkikGYmEAAIIIIAAAgggUKkF1DyTmpNasGCBLV++3NTpuZqDIuRfQH2X1KpVK9EU1lZbbUXfHfknZokIIJBnAQo98gzK4hBAAAEEEEAge4GtttrSfvllgT1y+fZ2bNf/tlucaUkvfjDXfj/kG1u7voYdc8wx9uyzz2aKzncIIIAAAggggAACCCCAAAIIIFAFBGjeqgrsZDYRAQQQQACBOAvUq1vX1q1bbZ88uKe12apupKQ+OO4Hu2r4D2bVa9jZZ/+vDRs2LNJ8REIAAQQQQAABBBBAAAEEEEAAgY1boPrGvXlsHQIIIIAAAgjEVWDevHlWu3Ytq2ZrbO6Y/SMXeNzw+DS75rEfbX3JnAMHDqTAI647mHQhgAACCCCAAAIIIIAAAgggUAQBCj2KgM4qEUAAAQQQqOoCr7zyirVo0dwa1FlvM0ftF5njonu/sL+8ON9q1KxtQ4YMseuuuy7yvEREAAEEEEAAAQQQQAABBBBAAIGNX4BCj41/H7OFCCCAAAIIxEpg0KBBJX1wHG3Nmph9MyJ6gcfpN022Z95ZZLVq17Enn3zSLrjgglhtF4lBAAEEEEAAAQQQQAABBBBAAIHiC9CRefH3ASlAAAEEEECgygj87ne/s4ceetBab1nDJg+PXuDRY9AkmzxjjTVo0MiGDx9uPXr0qDJmbCgCCCCAAAIIIIAAAggggAACCEQXoCPz6FbERAABBBBAAIEcBFRQoWat9u1Yz8YN3jPSklavXW97XzDR5v9azVq2bG3vvvuuNW3aNNK8REIAAQQQQAABBBBAAAEEEEAAgaonQKFH1dvnbDECCCCAAAIVLrDnnnvaxIkT7fgDNrWHL9sl0vq/mbnMTrh+qs1fUt2232GHxPyRZiQSAggggAACCCCAAAIIIIAAAghUWQEKParsrmfDEUAAAQQQqBiBli1b2uzZs6z/Cc3t6jPbR1rp+E8XWJ87vrZVa2va3nvvbW+++Wak+YiEAAIIIIAAAggggAACCCCAAAJVW4COzKv2/mfrEUAAAQQQKKhAs2bNbO6c2XbNmW0iF3iMeHOmnXrTl7ZyTQ074ogjKPAo6B5i4QgggAACCCCAAAIIIIAAAghsXALU9Ni49idbgwACCCCAQGwEGjdubCuWL7HxQzpZh20aRkrXgGFT7InXFljNTWrZGb172/333x9pPiIhgAACCCCAAAIIIIAAAggggAACEqCmB8cBAggggAACCORVYM6cOVa3bh1bs2qpfTOia+QCj4EPfmkj3lhoVq26/eEPf6DAI697hYUhgAACCCCAAAIIIIAAAgggUDUEKPSoGvuZrUQAAQQQQKBCBEaPHm2tW7eyOjVW26zR+1vDetEqlZ5z+2f2xN8X2oaS9zHuvvtuu+GGGyokvawEAQQQQAABBBBAAAEEEEAAAQQ2LoFqG0rCxrVJbA0CCCCAAAIIFEug1iY1bf36dTZ/7IGRk9Drmk9twlerrXqNTeyRRx6x448/PvK8REQAAQQQQAABBBBAAAEEEEAAAQR8AWp6+BoMI4AAAggggEC5BX7++eeSlqmqWb26tazn1RMjLefgyybZxK/XWsNGTey1116jwCOSGpEQQAABBBBAAAEEEEAAAQQQQCCdAIUe6WSYjgACCCCAAAJZCZx37lm2605tbMjNZ9nn36238+76d9r55y1ebXv//hObPmuDNWvWwiZMmGD77LNP2vh8gQACCCCAAAIIIIAAAggggAACCEQRoNAjihJxEEAAAQQQQCCjwLx58+xvr79pp/bqaod128X++sDFNv7zVaa+OsLhk68XW7f+k23OIrPf/KadTZs2zVq2bBmOxjgCCCCAAAIIIIAAAggggAACCCCQtQCFHlmTMQMCCCCAAAIIhAUuvvA827bNlnbicV0SX3XYobU9/VB/e/ffq+zUGyclo7/4wVzredUUW7KyhnXuvId9/PHHye8YQAABBBBAAAEEEEAAAQQQQAABBHIVoCPzXAWZHwEEEEAAgSousHTpUtu6TUu77epT7IiDdw1ofPbF99bn4vus83Y1bf9dNrWrH/nBataqY4cffrg999xzgbiMIIAAAggggAACCCCAAAIIIIAAArkKUOiRqyDzI4AAAgggUMUFDjm4m82f+529PPLylBKz5iy0I08ebL8sWmG1a9e23r1724MPPpgyLhMRQAABBBBAAAEEEEAAAQQQQACBXARo3ioXPeZFAAEEEECgigts2LChpBPyidarx55pJKrZ8Gc+s9p1m9imm25qu+++OwUeaaSYjAACCCCAAAIIIIAAAggggAACuQvUzH0RLAEBBBBAAAEEqqpA375nW9OtGluf07uXIrj8xnH25jsfW4MGDe2oo46yhx56qFQcJiCAAAIIIIAAAggggAACCCCAAAL5FKB5q3xqsiwEEEAAAQSqmECTJg2t3fa72G1X9rD22zSxxb8ut5uHvmkvv/5P22yzze3444+3W2+9tYqpsLkIIIAAAggggAACCCCAAAIIIFAsAWp6FEue9SKAAAIIIFDJBU499VSrVbOGbdWild3x8Ee2Zuls+3zq99aqVRu7//4H7KSTTqrkW0jyEUAAAQQQQAABBBBAAAEEEECgsglQ06Oy7THSiwACCCCAQEwENtussbX7zba2bu0q+2LqDNt7733s3HPPNRWGEBBAAAEEEEAAAQQQQAABBBBAAIFiCFDToxjqrBMBBBBAAIFKLtCzZ09btbKksOOLr+zAbt3t4Ueest12262SbxXJRwABBBBAAAEEEEAAAQQQQACByi5AoUdl34OkHwEEEEAAgSIIdO60s82cOdOee+45a926dRFSwCoRQAABBBBAAAEEEEAAAQQQQACB0gI0b1XahCkIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQCQWqV8I0k2QEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoJQAhR6lSJiAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAClVGAQo/KuNdIMwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCJQSoCPzUiRMQAABBBBAAAEEEEAAAQQQQAABBBBAIHeBJYvW2oR3F9rPs1bbsiXrbdniNbZunVmzNrWtWava1rTlfz4326pW7itjCQgggAACCQE6MudAQAABBBBAAAEEEEAAAQQQQAABBBBAIE8CKuh4Y8wv9u20pfb5xKWRllqvfg3bsVN967RvI+uwRyNrtCnvKUeCIxICCCCQQoBCjxQoTEIAAQQQQOD/2DsP+CiKL44/SkIJvffeewdBBAERpVuxUFSwIBbEBlZUFEHEiv7tDQVBmhRBujRBlI703kMPvf3zmzjL7ObucpfcJVd+7/NZdnZ2Znbmuxtud96890iABEiABEiABEiABEiABEiABHwhcDrukvz40T5Z/scxOXfussRki1dk1MopJcpml+jo9BKdKUP8ll6i4rdTJy5K3MkL8dYfF+O3C7Lg94O2S5Uqn1Uq1oyRGg1zKGWI7SQPSIAESIAEPBKg0sMjHp4kARIgARIgARIgARIgARIgARIgARIgARIgAc8EZk88Kr9+v1+OH7vguWAyzpapFCPlqmWV0hUzS9nKMZKvEF1hJQMjq5AACUQQASo9Iuhmc6gkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL+IzB9TKz8Me2o7N15RjVaukJ2yZ03WnLliZac8ZtTLl2+ImdOXfxvuySnVfqSxJ24IMePXpALFy47q9iOCxTOJI+/UVKKlMxsy+cBCZAACZDAVQJUelxlwRQJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJElg7Bf7ZPGMY3L0SIJlR6UaOaVmg9ySv3CWJOt6KnA67mK88uO8HI9v90T8/hjSh8/LkdjzNoXIg/2LS6OWuT01xXMkQAIkELEEqPSI2FvPgZMACZAACZAACZAACZAACZAACZAACZAACfhC4MK5K/LZWztl+YLjqlqOnFHSoFl+qVQzpy/NJKvssXjlx6xJe2Xf7gSrkhYd8sm9jxdJVlusRAIkQALhTIBKj3C+uxwbCZAACZAACZAACZAACZAACZAACZAACZCAXwhsXnNWvhi8Qw7uP6fay18ok7TuXExy50vsxsovF3TTyNJ5h2Tp/Fh1tmGzPNLrhWKSPr2bwswmARIggQgkwP8SI/Cmc8gkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkEI4EMobjoDgmEiABEiABEiABEiABEiABEiABEiABEiABEvAHgbOnrsjCGSdk5Mc7rOYKF8si7boUl0xZMlh5qZUoVyWn7NlxWjKkTyd/zjsiB/aekxc+KCsZolKrB7wOCZAACQQ3Abq3Cu77w96RAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmkEYEj+y/LhG8PyILfD1k9KF4qRjp2LWEdp2Viyujdsm3jScmUKb28+3MVyRJDpy5peT94bRIggeAgwP8Jg+M+sBckQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJBRGDf9ssye+Ixm8KjXJUcQaPwAKobbykixUvHyLlzl+XJ29ZJ7P4LQUSQXSEBEiCBtCFApUfacOdVSYAESIAESIAESIAESIAESIAESIAESIAEgpQAFB5rl52WqWN2Wz1seF0+aXNrUes4GBIZo9LHB1MvKnC3deHCZRn48EY5sDsh0How9I99IAESIIG0IEClR1pQ5zVJgARIgARIgARIgARIgARIgARIgARIgASCksDRg5dl99aLMmX0Lqt/VWrlkvrN8lvHwZTIEpNBKT7yF8wkp+IuydB+W2Xn5jPB1EX2hQRIgARSlQCVHqmKmxcjARIgARIgARIgARIgARIgARIgARIgARIIVgKXL4kc2HlZpv28W44fS3AVVaJMNmnRvnCwdln1K3uuKGnZoYhExVt+HDl8Qb4YvEvOnYkfDIUESIAEIpAAlR4ReNM5ZBIgARIgARIgARIgARIgARIgARIgARIggcQEDuy6LDMn7pftm+PUybz5oqXNbcHl0ipxrxNy8hXKLHUb51EHu7eflck/HnBXlPkkQAIkENYEqPQI69vLwZEACUQ6gfPnz8u4cePkrrvukjfeeEO2bt0a6Ug4fhJIksDs2bNl9OjRahs/frxcvHgxyTosQAIkQAIkQAIkEHkEhg8fLvPnz5fLly9H3uDDdMRn4q7IqiVx8vfiI2qEmTKll5Ydi0h0/D5UpE6TfFKwSGbV3Sk/xcrGVQnKm1DpP/uZ9gQ+/PBDqVKlinTo0EFWrlyZ9h1iD0ggGQTSXYmXZNRjFRIgARLwGwF8JBw/ftxje1FRUZItWzaPZXgyMYFvvvlGXnnlFetE3rx5ZenSpZIxY0YrjwkScBI4c+aMUpBt3rxZsmbNKuXLl5fixYtLhgwZnEXD8hhKwkWLFlljmzt3rpQuXdo6ZoIESIAESIAESIAElixZInfeeacCgW+VVq1aSfPmzaVhw4Z8bwjhx2Pvtkvywwe75d/VCd+nLdoVliq1c4XciLb8e1Km/ReAvXr9bNL3rTIhNwZ2OG0ILFiwQO655x7r4jfddJN8+umn1jETJBAqBDjrFSp3iv0kgTAmEBsbK/Xr109yhDExMVK5cmWpVKmSPPDAA1KmTOq/uEFPPGbMGKuv0dHR0qlTJ+s42BLffvutrUuHDx8WvMTgg4xCAiaBHTt2yHvvvScrVqxwaxFUu3Ztadq0qfTq1Uty5MhhVmeaBEiABEiABEiABCKKQKNGjWTmzJkydepUtU2bNk2wQerUqSPXXHONNGjQQJo0aRIfYyEqotiE8mBXLz1lKTyKlYwJSYUH+JetlF0q18wl61cek9XL4uTPOUel4fW5Q/nWsO+pRGD58uW2K124kBDXxpbJAxIIAQK09AiBm8QukkC4Ezh48KBXSg8nh4ceekj69u0rWbJkcZ4K2DGsUswV31DErFu3LmDXS2nD3bp1k3nz5tma+e2335TyyJbJg4gmABdOTz75pNcM8NyPGjVKatSo4XWdUCpIS49QulvsKwmQAAmQAAkEB4Hp06fLlClTlALEnCQsVKiQNG7cWClBoAApWjQ0YkMEB9XU7cWxQ5dlxGs7ZfP6E+rCN99eTMrEKw9CVbZtjJMpo3ep7l97Y265/5nioToU9jsVCbRt21bWrFljXfGOO+6QoUOHWsdMkECoEEgfKh1lP0mABEjASeB///ufvP32285sHhsEevbsaRyJNGvWjAoPG5HIPjh79qxSHPqi8ACxU6dOSZcuXeTkyZORDZCjJwESIAESIAESIIH/CNx4443ywQcfKOuP5557TqpVq6bO7N+/X8XYe+aZZ+Taa69VbmM+/vhj+skPwifnrz9OWAqPcpVzhLTCA3hLV8gmMdkSHLysXHRS6Nw+CB+6IOvSvn37bAoPdA8usikkEIoE6N4qFO8a+0wCYU6gRIkS0r17d9sojx07JuvXr1cfEeaJr7/+WuBjEr5zKYkJXHfddQLz1Dlz5qiYDOSUmFEk58D9GQLdOwXKspo1aypXclipiGdo7Nixto9zWBFlzx66K9+cY+YxCZAACZAACZAACfiDQKlSpaR3795qmzVrluX6CotGYDUOV7PYhgwZouKAtG/fXtq1a8eYe/6An8I2Viy+GmeyRoPwcAVVrFSMbFhzPH6x0kVZu/yEVKtHF7WuHpPFixerxYG5coVe/BZX40lu3ujRoxNVzZkzZ6I8ZpBAKBCg0iMU7hL7SAIRRgDxJpwWChrB2rVrVTwPrEDQAsUHJ/M1jcT7fPnyye233574BHMimgAUie+//76NQeHCheWLL76wVibqk1WrVhWYNT/++OMC1w2PPPKIPP/88/o09yRAAiRAAiRAAiRAAi4ItGzZUrDBymPGjBkCN7MLFy60SiImCDbEVYPyA1uFChWs80ykHoFzpy/L9g1x6oIVquWUIiWypt7FA3il0hWzKaUHLrFsLpUerlBD4QErdkjdunVVTB7ML8AtHdz6RoocP35cPvvss0TDZSzHREiYESIEqPQIkRvFbpIACSQQwOTroEGD5P7777eQQBHijVy8eFG2bdsmmzdvjjftvSJly5ZV8TkQjNydnDt3TuACSMulS5d0Uu2xYgsvB57EuTLC2aZZFyvn06dP8DyIdtHXnTt3CtpA4PZixYq5XQUWFxcnzv6ZbSOdLl26ZAegTg4/rGZzukDCSxP64UnOnDkj58+ft4rgZTNjRs8/Wbine/fulU2bNgkm9LHKrly5cpItWzarHSauEvj000+VmyqdA4UHPsTdrW7KnDmzjBgxQubPny8tWrTQ1dQ+UM/00aNHZfv27ZIhQwZry5o1q0CRh31KBH8viMeze/duyZMnj/r7gpVZSiQ5fyMpuR7rkgAJkAAJkAAJhAYBxPWAlSy2FStWWAqQLVu2qAHgGwWusbBhoQkWLCEIOiX1CKxaelJOn0741itZLnwmustVySEZxu+VS5evyD8LT8h9T6ce01C50jXXXKNiVsACHgoQWLl//vnn6hsB57Dh+yfc4/HA7R7mN5xC634nER6HCgHPM0ihMgr2kwRIIKIIOCdcoRTAJLm7gOaYBB8wYIAsXbrUJSfEuXjzzTeVQsFZ4Oeff5YXX3zRmW07TiqY844dO2zlPbU5d+5cpYiB26GXX37ZVg8H5cuXVxPPrlaA3XfffW7HqBvCxPaSJUv0oVf7lPCDwsjJZ8KECVK7dm2P14ZFAVbDaYFVAawLXAmUQ6+99ppyv+TqPJRFb731ljRq1MjV6YjMO3z4sHzyySe2sSOuhzuFhy4IxZPz7w/nAvVM4xl49tln9eVt+8qVK6vJgM6dOyf5PJkVV61aJU899ZRSjpn5SLdu3VqGDRvmzE7yOCV/I0k2zgIkQAIkQAIkQAJhRaBWrVqCDe84WHCC95158+ZJbGysGifeq7AhmDAUILCCpwSewMolCbHqsmTJICXLhdeiqeJlYmT75jiJi3dxdeLoRcmRm1OBzicKf2vY8D2O79Xx48fLkSNHZMqUKWrDIjy4ocMGF9LhJqtXrxbETHUlSX0juqrDPBIIBgL8ny4Y7gL7QAIk4BMBWAlg8h8TjVpOnDiRSOmBlf8//vijUnjocq72+Mho0qSJcvXTqVMnV0VSLW/Pnj0qcJgrhQc6gTHfcMMNsmzZMilQoEBA++UPfliN37FjR5k4caLVV3zceVJ6YHWJqfBARXcvllBkQUFiujuzLvRfYuvWrXLnnXdKr169pH///spiwFkm0o7Nvx2MHcqwW265JSAYUvJMI/CnO0GMH2xQEKLvr776qrKIclce+ZMmTZLHHnvMbRE8d/369XN73nnCH38jzjZ5TAIkQAIkQALJJYDfJVjZYoP1LzbkuUqb5ZxplNdtOM+Z+bqcmafTnq7t7py+Fsav09hjDObYdJ65N9O6rN7jnD7vTZ7z+t7WNdvWab3XbZh7ndZloqKirHEjT0+2Pv300x7fX5L7vLCencCqPxOs94uXzSaZ4xUf4SR58kfHKz0SRnRg9zkqPTzcXCgZsWFBGBQgiI2JPb5REe8CW/369ZUrOihAwiHIN6zV4YLPnbhbXOqufHLy4TkAVjb//POPbNiwQeDNA8zhnePRRx9V9yQ57SanDv7/TcozRXLa1XWwYBceDbCgEM8PvBpQAkOASo/AcGWrJEACASYAN0amuHrZmDx5cpIKD7ONJ554QgVvLl26tJWdlEslq6APCU9t7tq1S5nWJtXcyJEjpW/fvkkVS9F5f/BDB6BIMpUeSMNyw92LxB9//GHrNyw14NbMKXBL5EusEpgoV6lSJWCT+87+BfMxrKNMue2228STmzezrKt0oJ5pT0oPsx8wRcfLI1x2uRO8OHtSeOh6UHx46+bKX38j+trckwAJkAAJhDeBl156SU3mYNLfOfGPCXBsyHemPeWZ51CPEn4E4O6WElgC/644GW8FEX6urTS1PPkz66Ts23VeylcPH/dd1sD8nICr5B49eqgN7nZNBQgWIGJDLB4sSIS1eKtWrfzcg9Rr7quvvlKLyfQVYdk/e/Zsfah+k6wDPybwm7VgwQJlVYPvOVcCDwX4joNb4kAL+vP222+rb0pY9uAeO2O64Df377//Vi6Y8f0Jqz3MVXijuPjpp59UzBQsyjQF8x2YM7n33nvDQolmji2t01R6pPUd4PVJgAR8JoCYAqavSSg8nJOuiAcxZMgQW9so99xzz6mJb5zAD+fAgQNtbekfOV3x1ltvtblnwo8cAgxqwY/gmDFj9GGivY7PYZ4w29y4caNaRaLPY3UDftghcMmE4GlYWYE4JqbiAC8FTqXH66+/bhsL2rhw4YKyckDaF/EXP1yzadOm6mVB3zNYZaxcuVK9ILjqEyxBTMGEvCsZPnx4omy4Lbr22mtVvAcokBCoe82aNVa5N954Q2666aZEVkFWgQhJgI0pxYsXNw99TgfqmYbf6xtvvFGw8gfPJNylHThwQMW5gcJBP1Po8LRp05QrCJiluxLEI3EK/t5hRYSVlfhbhJs7PC9OpZCzHo79+Tfiqn3mkQAJkAAJhB8B/MZgsoRCAr4QgKsdrDo3F2b5Up9lkyZw8thFVSgqKl3YubbCwGDpoeXAnqtxE3Ue954JmAoQxN+BQgAbJuy19Qc8UeC7pWXLlioQuucWg+cslKqYa9ACF8JQ0JtKD+dciy7rao94KJiHwZxGyZIl5Z133pHcuXPbimIBK6z1Mb/hyWODruQpkDoUInBFBuuM3r17qyquFsTqttztUR8u0aGYgOA7E3FCTaUH5qHwvQhvA6agTIcOHZR7cndxJ7/77jvF1ayn01CCvPvuu8q92NChQ5VrQ32O+5QRSBd/Y6+krAnWJgESIIGUETh48KAyEdWtYKITE/iu5K+//pIHH3zQUgygDFZgQHlhivNHBS8hY8eOTRSz4NChQ+rlRCsa0MbMmTOV+yyzPZ2G9t/84MAPXEpWHSB4oasYCfixhcJDC+JWOGNj4IXLlVJF18Eek8Vm/A9vY3r4mx/u5xdffGF1DS8kUEA5xdlfnIf7MbxomoIXjTZt2phZyicyXtJMgdIHz4v50gZl0t13320Wi7g0XIKZSjRYDkFZ5A8J9DOt+4iVNYi/AQseLbj/TqUZzuFvBWbqprgaM0y7u3btKosWLTKLqpVd5t89Tvr7b8R2QR6QAAmQAAmELQFfY6uFLQgXA8PUBCyBk9p0VU/lUEafN9M6D3tX+cnNc1VPX0ufwx7vprAq/f3339WGPEixYsXUwhxMmsINrK6r9wml+G+gCMyaeEhGfrhP8hXIJF0eKhOoy6RZuxcvXJZPB29Q129wXR55+OViadaXcLrwv//+aylAYBWgBX/Dd911l1J+YB4iWAVzDHDRZS74wsIyKA0QvF0Lvhth0aAF31tYbIhvLywq1N/gUHg4XSbXrFlTsGBTK07wDXf99dd7VHZgjgWW9zlz5lRbly5dXM6ZLFy40PZdr2N4QhHlqzhjqoKBXqQAV+p9+vRR8xKe2q1Xr55888034gz8DleFWiHjqb4+h0V8iFmaGm7F9DXDdU9Lj3C9sxwXCYQwAbwwYGLaFPg8xEps+Hh0Cn4EnTJr1ixbFlZ0uwrAlT9/fhXnAb5ytWC1Q1q+nMBlk6nwQL/wg4+XCXNVAZgkZxWDHqenvb/5wTrGVHpgNQaCN+oPTt0XWLqYgpckp8ID57HKwhS4y9IvW2Y+VvA7V6rAR2ikC0y0TXEVHwYWFU43cmadPHnyqNU7Zp67dCCeabwEYjUOnhltzYO/Dygu9Eu17g9WYZmCvy9XSh7Uw7OElTpJib//RpK6Hs+TAAmQAAmEBwE9KRMeo+EovCUAK+epU6cqy9QdO3ZY1eAWB1bIN998s2TOfNUFkVWAiVQhcPJogmurXHkzpcr1UvsiGaPSS46cUXLi+AU5evhCal8+bK9XqVIlwYYJ7VWrVikFCFw1Y6GmnrfARLh2gQU3RsEiWMwJxYWp8EBcj+rVq4vTxTC+qU2B9RksITDOH374QVmKYCErFo85Bf/3QRHQs2dPdQqLEV1Zd0DRgTKdO3dW3//OeQJnuzh2fuMld1EB4l06Y6p+/PHH6pIYJxbl6vvpqh86Dzyg4OnevbvOUi4rXS3ohTeMQoUKqW9XzG2Yi3B//vln5QoTC2HBhZJ8AlR6JJ8da5IACQSIACYuzcl9T5cZPHiwy8lu008iXi7q1q3rthmsNDDF6frHPJcaaXfB1KHx1+PKlCmTcuEUqP7o66B9f/CD8gKrNfRLFV50YIparVo12xCw6s0Ud66tdDu6LNwruRP0H5sek3PC3129cM53WgjBbZRTENDbGV/FLANrGady0jxvpgP1TGMcWIWklR64Jp4N3G9TnC/W7lxgoQ6eVW9EP08o64+/EW+uyTIkQAIkQAIkQAKhRWDSpEny66+/KusO3XMsrtKKDleLdnQ57lOPwIn/3Fvlzmuf3E29HgT+StlyZFRKD387e8E7Mb6nsXhIb5gkR1rvzTTydL5z7yznqj1nHX3sqi7OaYGVFTa4qNWb81jnw/uAdq+LPb6V9DEsFZDG3txQ15VgIhwbvpuwsOrDDz90VSzV87788kvl4UJfuEGDBvLwww+rQ6fCwRmvAgtHtWCyHhwQbNx0PazPYz9q1ChL6eFsS5d74YUXlFtu3Edvxd31XC2Cc9cm+u6M+4iFdfjGxLn7778/kcID5bHwFteBgkIrSHANKLdNpQe+p81vUSgxUMZc2Im/SViVwHUWnhUIlEVQPiGQOyX5BLx/mpJ/DdYkARIgAb8TgIUD3Nq4Umbgx8ecFMePFT423Inzxc+s665OIPPdrQDED25qSCD44cUJLwZmnBWYxZpKD1wXFiCm4IPQlZgTzjj/559/uipm5ZkvV866VqEISuAly1ytghcqp/s0fAT4S1LyTONFGi+TUGxAIYkA9siDq7Zy5cpJbGysrZs451R6oI4pzvPmOaSdVlXO84H4G3Feg8ckQAIkQAIkQAKhSQCWHFrZoS2M4ZMe77VY8Y2NElwEThxNeO/NbQT8Dq4eprw3Fy8meLbPkdO/04BY4Q/B+zE2imsC0dHRQRPrY8WKFcotle4pJuIRC1MrHBDH1BRTeYR8M24FXGQ99NBDsnTpUqsK2jMVErCkwMJDfIMi4Ds2uBQ3BYoGeIaA1T0s4JyKF7OsToOpKVhkCdHjMM+5S8MrhLngFi4G4R4b8r///U9M6xGMC0HfzW9bWMtgrknPIa1evdp2KXzHmgLlFziYgrFiXgvu2OHaG9/p+KYtWLCgWYzpZBDw7/92yegAq5AACZBAcgggJoErhQfacppjQrMOH4zeCtxGpZXgh9SXH+lA9DNQ/ODiylR6wDeo6VYMP+7my1GzZs3EXEVijhUxGkzx5f7iBSLSBX6jTXHec/NcStPJfaaxWgqWXFiF5Erwd22umnFVRuft2bNHJ9U+X758tmPngTPYnvO8k1co/R/jHAuPSYAESIAESIAE/ENg7ty5An/4mADTVrSYQMMEHhQdcFdLCU4Cp+Iuq44hpke4CuJ6QLLFu7nyp9x5550pbg7W23BdCxdv2HuTRllMeusNnhB0GpP0Oo2FXFDGaKsOfYxvDaSdG/KTUx714uLi1N8+/v5NxYEvFvIphplEA1BSaIsOXfTTTz+VIkWK6ENBGVPguguumPBdB9GKLqSdsRCxOBWT91ho+MADD6CIEnzrY7Ifcx2ffPKJwP246f4ahVAHCgfERIESBNYnnqR48eK205hv0IJ7+Msvv6jFc/gWROwRKFtMgfuoMWPGWFmwwhs+fLhSuOD7DmlTYKmDxZRoG+OAMgfzG1rhgbJ16tQxq9gUKlh4Z/bRVjD+AMoPxKHERvEPASo9/MORrZAACfiRgKtA5vAVCZNHLZgIvffee10qCJwrEXQdb/d4yUor0asT0ur6uG6g+GFs8GmqTTbxcoBVFdqs3+naCv483UlK+kh/yQnBMk22pm9pnY9VNk4F4H333adPe71PzjONjwQosqZPn+71dTwV1BMPuow3K4d0WVf7lDx/aC8t/49xNR7mkQAJkAAJkAAJJI8AFtNAyYFNv+NWqVJF4KIVE2wlS5ZMXsOslSYE8oSx0uPShQRLj5x5/Kv0eOedd5QbIFhhOwM4O28ilBuwEtCKDexxDIVFKAomxjHpj4Da2OvFdfj+gcITW/369YNmaIjjgbgd5sIxWGng/yxYYiCGKqxAYG1gypNPPqkOEXMDlhFHjhwxT1tpKDygRMDkPhQcONZMDh06ZJWDQgrtwAUyvjlNV8UoBAUJYkIi7gUWuyal/NANm14i8H8yYohqQTuIBamVz7BMwbW1QKGDOSat2Bk2bJg+Ze2hJMEGQTlzwaYu5JzDML1MYN7D6WZa1+M+MASo9AgMV7ZKAiTgZwKI2QAfh/qHBRPmcIWEH0OnuArK7NTqO+uYx9769Dfr+Cud1Apzf13HUzuB5IdYCvqDEH2Aiyv8+MPFGNwAmOLpnqGOuaICL0TevixjlUqki7mSByzw8gbTXP2ShzyssHGKu5c7ZznzODnPNHyfOhUeepUknk8orrCaCm6r8P+AaU5tXlunsQrIfJnG6iUnA13Wm30g/0a8uT7LkAAJkAAJkAAJpD0BuD3Rq9zhvgqrmjGJ53QZmvY9ZQ+SIpAuXYJC4HTcRcmaLTynyS5eShhjvkL+VXq4+h5Pincon4dyAFZdc+bMUcoOWIpAcuXKJfjWve6665SyAxP7wSYfffRRom8suHDC5o1oa/cDBw64LA6lgY5Bgcl9KH1+/PFHVda0DtGVETQdygkEJP/2228TubzCNyE2KD2geGnSpImuqvamNQ0y4PoYgrkFWHmYgnkkKFNgRQEXVM7nFn3XSmoohUwLELMdndbzUvoYe8xf3HLLLVYWvldNSWuPHmZfIiUdnv+bR8rd4zhJIIIIYBXIE088oRQfetjQvkOT7vzxwCpuKC4Q/EkLFCb+8Ino1Mzjxw4/Zv56qTFjT+i+p/Y+kPzw4mOuuICio2/fvrJu3TrbipN27dp5XCkE01NzUhwmwzfffHNqowrZ6+kXQj0APMd4Ie3Vq5fO8ts+Oc/0uHHjbNfHCjLni6kugA+PpJQeTndeMHHWFka6HV/2gfwb8aUfLEsCJEACJEACJJB2BODXHRNxWCWNd1xK6BLInDm96nxYKz3+c2+Vv3DwTcYH+5NjKjqg8DAFSo42bdqoDZYNwSr4dnZlveBNf2HFA8sM/b3tSoEBrxzORXPm9xasSFwJ5lfAEBsWtI0ePVo++OADW1F86+F7v0WLFgLFjV6oB8sVU7Q1PeJuQFniFCg7ihYtaimr9XnMFSFwuZYZM2bopNqjT4gtCX6mlYxZCFYw/fv3t8UicSpGnHNJZn2mA0Mg4X/2wLTNVkmABEjArwTwQ6d/4NAwfnCck6P6ghUrVtRJtYc/RmfAclsBHw4w4W4KfDmGmwSKH1bAtG3b1sIFc89///1XfHFthcp6BYluCC9G8KFK8Y4ArBz0ykRdA75V9+7dqw/TdI8PC1OcZsLmOeezY57TaafSw93/G7q8M2aMzjf3gfobMa/BNAmQAAmQAAmQQHATwOIdKjyC+x5507tMWTKoYqfiLT3CVS7+596qQDH/WnqEKy9MWMNaAO6fEGvylVdeURYeGG/p0qXlkUceUZ4Kvv/+e7nnnnuUK6dgZTF//nwrOLenPsItFxYfmm6iUB7WC/iGx8KvM2fOWC6rdFvwuoBJf6fAzZUWuMxCLAxPgm+2fv36KRdb2qWWWX727Nly1113WS6YnQtPodjBNnDgQLOalcZCuo4dO1reQ3ACi/5w/0wxPQRg7gcKbizAg0UKLELw/z7awTOANv/++2+lFHIuxnVaerizkDGvzbR/CVDp4V+ebI0ESCCABOAj1LkS/d1331XBx5yXNc0KcQ7uexC8Cj/SKZUKFSrYmkAQrqR+wG0VQuAgkPycE9h4MUFQcy1QbOHFyZPgxdNUgCE2CFwKmL5CPdXnOVH+UU0O8LcKk1y8TKa1OGNmuPMb+80336iAd0n1F7FkTJkyZYp6mTbzdBovs+5W8Ogy2Afyb8S8DtMkQAIkQAIkQAIkQAKBJRCVKZ26wOm4S4G9UBq1fubUJbl0+Yrkjo/nkSsPHb54ug2wNoBVA6wK4P4X7pi1YOL/448/Vm6YEA8iLd1i6z4ltcd3T9euXW3FYLkBqxSM8eWXX1YLSTHRD+sIjA+Bzc24jHALpcXVxD2UDK6sGExLD9TfsGGDbkb+/PNPQWDwDz/8UI4dO2blIwH3yFAsIIA6vH2YAm8eULBgQavT5TCCoGPzJKb1BRTWsM5wivktaLrQglID38tQyGDRJZ4BKEPcWfg4lR54tiipS4D/26Uub16NBEgghQQQ5Py9996zWsEP0tixY5XG38qMT8A8ESvZYYqo5YsvvlDKDyhOYIYOd1eYXIWFAFa4b9myRa699lqlydd1XO3hpxcvD1qwauH6669Xk+6IHQCfvvgxhdkn/F5iFYD2D4kfPtMVD9zsmBIbG6tWEOg8mGjWrVtXH7rd48f/5MmTic47f2hPnDhha19XaNiwoS2AeSD5aYWFfuGAD1GdRn+gFEn0Kpo4AABAAElEQVQqPgdeLAYNGqReOPQY4FcZk9uwCEL/8TKXLVs2OX36tLoXuL958uRR53WdSN5jJQ0URVitogX3AcHKsboHL/GwZsALLwKBI9i5eZ90nUA801WrVrXFfnn00Ufltddek0qVKinFJdyhTZs2TfA37ZSRI0cKlGAYHwIHQllarVo19VJvKnTwd/n666+rMvibxd8rFHCwePFGAvk34s31WYYESCA4COA9RH+s4/8bp2UZfH1v3rxZdRZBPbXrheDoPXtBAiRAAiQAApks91YJ8RnCjcqRQ+fUkKo3yCnpE4xawm2IfhkPFlTBosMULHiEWycoPJyLH81ywZjGd9GAAQNsXcO3HhQdrpQUZkF8H2lBkHa4kkIdp/cMzK04vTDoevhmh6WE9owxa9YswXceBHEZMYeB7euvv5YhQ4ao7zWzXwg6DsUTLDGgiMK3GgQxQvHtn1SsTswHQEwlhsqI/wffh5hXcuWK2Rw7PFMguHutWrV0Va/3psIElRCT9OjRo0qp43UjLJgiAuniH9iEaEYpaoaVSYAESCD5BDDZiMlJLVBsYDLSncBi4/PPP7dO48d08eLFiSbKMQnRuHFjlxO1VmVHok+fPvLMM884cu2HsBaBksPVj6e9ZMLRiBEjLJdOWBmBQFy+CFZWYLLek2CFgalM8VTW1Tn4vWzZsqXtVKD44SJ40UKwMlcCRRVMSJMS/Hx1795doHTyVjCR7wyY7m3dcCyHly6snvGFoeYA5dJbb70lgXimoZzAC7k3AqsgKEFgqeIUBKDTf2/Lly9PZJ3hLK+P8X+K2R5898KM3SmB/BtxXovHJEACwUkAPqx/+OEH1Tn834HfYtO9AVb16cCb+KB3uhYMzlGxVyRAAiQQWQR++XKvTPkpVoqVipFOXUuE3eD/mH5AVi49Iv3fLSfla2QNu/H5Y0A33HCD6LgT+PaGFQQ20zWzP66TWm3g+wXfyqZ4M9eB8vBi4VRkYL4FLpIhn332mVqACM8LsA7B+487GTVqlDz33HPqdOvWra15nKeffjpRsHC4w8I3Jq4Dt9hQgGDRHWJxwI2Y+X02dOhQ9W2Hbz0zX/cDVibfffed+laFyy5TsKgPC2fdxXyFtQve2bSgLZTHgkpfBPNFznmNZcuWJbJQ8aVNlvWNAN1b+caLpUmABIKAwP3332/rBX7kMLnpFPxQYjUBzCa9FW98+WOVJnw3eisIepUSSQ3dtKtrBIofWGCVvSvBC5OpAHNVRufBpyisRGD66q3o1bbelg/3cjAdxoomT0rGQDBw9byZ18EHBpSf3gj8vpquztzVgcUUYvskJc2bN/daORLIv5Gk+snzJEACwUcA7yMzZ85027Gk/u9zW5EnSIAESIAEAkogZ94o1f7u7afk/Dl7cOSAXjiVGt+9LSH2IRUe7oHDIgHfH1jIAEsCBK0OVYUHRonvZFNefPHFJBd36vLnziVYBulj7LFYTgtcSGEBIwJ+e1J4oPwdd9yhFqIi3b59e+yUYNGmU2BVgQWuvXv3VsqPLl26KM8EsMhwKjby5cunFpm8+uqrzmbUXAPiscD9VfXq1WXChAnKsgMKCChg0G93Cg801qNHD9u44EXg4YcftjFIdNH/MmDhi5ilcJmMxYFmzCcswHS65HLXDvP9Q4BKD/9wZCskQAIpIOB0ZZSU6wdo/hHAyhTnj7o+B5NG+IlETA+sCE9qctTbYNhwgwUzT/xYJ9UmLFlCVQLFr06dOsr9lJMLXopcmZg6y+ljPCvwqQlLBShStAmrPu9q78pFk6tykZKHFTR4wZ8zZ47ce++9Urt2bY9DxwoclHPGtPBYKRknYVoOX6mmP1mzGfw94wUW/U3qb1DXQ5+nTp2q3KDpPL3HdbCyCCt79Comfc7TPlB/I56uyXMkQALBS0BbfQRvD9kzEiABEiABJ4FqdbNbWVv/Tewy2DoZgonY/Wfl8KHzUqhY5hDsfep1Gd4ZsBAM3xi+fI+mXg99u5KOn4FvnHHjxiWKjeqpNXxbPfvss7YipssnnMBCMadLT1uF/w7wrQmLC/THXIwK99qTJ09W7biq5ykP33RwmQ1Bm4hBgoWQ77//vtrwDWl+H+J7Ee7J4VECCpWk5ptQ1xkMHRYtsNyFxYnp8QMLWnAMd12PP/64chENRQdccmF+At+0mDPCNzTcNVNSlwDdW6Uub16NBEggCAggrgX8KWIP083MmTMrTT4mOpP6AXTVffzQwUIEQbTh6xIrI9AOXgwwIYrV4OEk/ubnbzaIPwF3IoiPgjTuL/yB4v5iT0maAJ5pxKNBzBnE7IBFCFbTYG+6bUm6pZSXQF+wsgd9QXwW/G3hXpqrZBCTB+UQowdKVOyjo6M99hV/+7D8OX78uMDPvrnaB/Fx8JxnzZpVbU7FbFKjCva/kaT6z/MkQALeEzDdW+laUCLj4xZiurd6++23BasW3QmU8vh/Ln/+/O6KMJ8ESIAESCBABJ7v9q8c3HteKlXPKa06JbjxCdClUrXZlX8elj9mHJQmrXPLA88WT9Vr82JpRwDuqOCu67bbbrMpALztEeY1sBgMAccR0wSLwwIlcOcNpdPChQs9uiaHogUukLEPtODb8qOPPnLr4QOKEXw/wjrFk8DFMr6jKWlDgEqPtOHOq5IACZAACZAACZAACZAACYQ4AVPpARcPUNLCBUL//v3VyJJSemChBNw2YLUjFmRA8CENi1KsDixatKjK4z8kQAIkQAKBJfDDh7tl9sQjkj1HRun2eHmJ96QbFvLz59vkYLy1R9cnCsv17alUD4ubGsaDwMJFLCjFIjTE0MBCUiwixTsWFraltvz+++/Ss2fPZF128ODBiTyUJKshVko2gfTJrsmKJEACJEACJEACJEACJEACJEACSlEB138QuD6ApWFScuzYMeUqEKsbtcIDdWDxMX36dEFQVQRGp5AACZAACQSeQIVqMeoiJ09clO0bw8PF1dq/jymFR978UdKoRZ7AQ+QVSCCFBGAVgRifiPGIIOWVKlWSQoUKpYnCA0PBuxhivMB9lukyy9Uw4UoMliiwEFm1ahUVHq4gpXJexlS+Hi9HAiRAAiRAAiRAAiRAAiRAAmFHAHGp4E8aSovffvtNOnXq5HGMiEe2Zs0aqwwsRLJnzy4Ivgl3CWgHATexyjC1XQtanWKCBEiABCKEQLmq2ayRrll+VEpXvBrnwzoRYom18eOANGyZU7LEZAix3rO7JBAcBOB2FHFEH3roIVm3bp3s2LFDdu3apVylw8UVlB1ly5aldW5w3C5bL6j0sOHgAQmQAAmQAAmQAAmQAAmQAAn4TgABPVu1aiUzZ85U1h6elB5HjhxR/qv1VSZOnCi1atVSh926dVPBL6H4wAarj7Zt2+qi3JMACZAACQSAQJ4CUdKpRwGZ8M1B2bHllKxaekRqNAhd6wht5QFUjVrkDgAxNkkCkUUAsSXr1q2rtsgaeeiOlu6tQvfeseckQAIkQAIkQAIkQAIkQAJBROCee+5RvYErhPXr17vt2aZNm6xzUJRohQcy4b8aqwm1rF69Wie5JwESIAESCCCBDvcWkmp1E9xcIQD4qZMXA3i1wDa97u8EK49GLXJKsTJZAnsxtk4CJEACQUiASo8gvCnsEgmQAAmQAAmQAAmQAAmQQOgRuO6666Rw4cKq4z/99JPbASDAuRasGnRKzZo1rSwz3oeVyQQJkAAJkEBACHTqUUgyZUonx49dlBVLDgfkGoFudN60/XJgX0JsqYa08gg0brZPAiQQpASo9AjSG8NukQAJkAAJkAAJkAAJkAAJhBYBxN6AeyrIt99+KydPug6Ge+DAAWtgefIkdp+SK1cu6/zevXutNBMkQAIkQAKBJVCmcox07FFQXeSfJUdk87oTgb2gn1v/Z9FhWf1XgpVHx64FpGajHH6+ApsjARIggdAgQKVHaNwn9pIESIAESIAESIAESIAESCAECNx6661WLxGrw5Xky5fPyj527JiV1onjx4/rpBQoUMBKM0ECJEACJBB4Am1uLyD1r0tQFvz2y56QUXxAQbNw1kEFqE6T7NKxe6HAw+IVSIAESCBICVDpEaQ3ht0iARIgARIgARIgARIgARIIPQIFCxaUdu3aqY5/9913LgdQvHhxK3/VqlVWWifWrVunk1KiRAkrzQQJkAAJkEDqEHjk5VIhpfjYufWUQEEDKVA4WvoMLJ06oHgVEiABEghSAlR6BOmNYbdIgARIgARIgARIgARIgARCk4AOaH7q1CmXAyhXrpyVP2XKFDEDm585c0Y+++wz63zVqlWtNBMkQAIkQAKpRyBUFB9/L4yVSSN3WmBeHlHeSjNBAiRAApFKgEqPSL3zHDcJkAAJkAAJkAAJkAAJkEBACDRq1MijhUb+/PmlR48e1rU7duyoFB0Ifn7XXXfJ+vXr1TlYeWirEaswEyRAAiRAAqlGwKn4WL/iqvvBVOuEmwtdOH9ZJv6wQxbNPmSVGPBeGcmaPYN1zAQJkAAJRCqBjJE6cI6bBEiABEAAPrO3bt0qsbGxcvToUSlbtqzUrVuXcPxM4MqVKzJ58mS5dOmSYKIH/snBOn166t79jNrr5vjse40qRQX57KcIHyuTQMgSwO/bfffdJwMHDnQ7hj59+sjs2bNl586dAouQQYMGJSr7+uuvS1RUVKJ8ZpAACZAACaQeASg+5LXtsmz+CZn1617Zve1UvOurfJIrb3TqdcJxpU1r4+N3/L5f4k5eUmcKFImWlz4uJzHZOc3nQMVDEiCBCCXA/w0j9MZz2CQQyQQwCfnbb7/Jzz//rCYbTBZPPvkklR4mED+loezA5I4pefPmlVtuuUXuv/9+KVKkiHmK6QAR4LMfILAemuWz7wEOT5FAmBPo3LmzR6UHFgFMmzZNlYGLK9MVVr169eTNN9+UihUrhjklDo8ESIAEQoMAFB+lRh+Q30bHyoY1x2XPjlNS99q8Ur1enlQdQNyJi7Ll36Pyx/RY67otO+WRe/oUs46ZIAESIAESEEkXPwFyhSBIgARIIFII7NmzR/r37y/z5s1zOeS3335bunTp4vJcuGRiVemhQwkm0NHR0dK+fXvJmDHwOvA6derI4cOHXWLEStauXbtKunTpXJ5nZsoJ8NkXpeTks5/yZ4ktkAAJ+J8APsl2794tp0+fltKlSwt+nykkQAIkQALBR2D/rrMydfQhWfDbUdW5spWyS90meaVAkSwB7eyxw+dl09pjsvbvY5Z1By54x0OFpM3tBQJ6bTZOAiRAAqFIIPCzXKFIhX0mARIISwKY9MUEv7uJdwy6UKFCLseO1Zfnz5+3zmEyIiYmxjp2JuLi4uTChQsqO3PmzJIlS2Bfgp3X93T8+eefy6JFi6witWrVUhMsVkaAEpjEccf+pZdekr1798rzzz8foKtHdrN89hPuP5/9yP474OhJIJgJQOlfvHjxYO4i+0YCJEACJBBPoFDxzHL/08WlTuMcSvmxee3JeMuLk1K6fDYpWzmHlKuSXTJG+c+F7+EDZ+XfVcdk3T/H5dy5y9Y9KFk+i7S5I580vD63lccECZAACZDAVQJUelxlwRQJkEAYE0D8AlhwOCfdESC0bdu2Urt2bcHkf8GCBV1SqF+/vs3tRJkyZdSqcVeWCbhWjRo1rHYwkf/II49Yx5GaGDVqlArMumLFCvnrr79k4sSJNhSffPKJwOVVr169bPk8SBkBPvsp4+eP2nz2/UGRbZAACZAACZAACZBA8BCo1TinYJsW7/Jq7q9HZdumOLUtmx8Vr/zIHq/8yJEs649Ll67IgT1n1HZo/1nZHB+747LhnwXKjmbt8kjztnmDBwZ7QgIkQAJBSIBKjyC8KewSCZCA/wkMHz5cBQo1W27cuLFg5Xe2bNnMbJdp0882CiD4+dKlS6Vhw4aJyl+8eNGW50oxYisQIQcIxAplELZu3bpJhw4d5IEHHrCN/o033pDWrVtLyZIlbfk8SD4BPvvJZ+evmnz2/UWS7ZAACZAACZAACZBAcBG46c6C0qpzAfl74TFZ/sdx+fuPE/L34iNqK146RnLmiZbceaMkb4HMaovOnF4unL/833Ylfn9JTp+6KAd2n5F98RsUHhcvGlqO/4ZLZUdw3Xf2hgRIIPgJUOkR/PeIPSQBEkghgfXr18vXX39tawXWHZgMzpQpky3fl4ORI0e6VHr40kYkl23VqpWMGTNGevToYbOigeIDyihKygnw2U85w0C0wGc/EFTZJgmQAAmQAAmQAAmkDYGo6HTKzRRcTe3ffU6WLzgma5bFyYaVp2TXtlPJ7lT2HBmkQo0YqVo/Oy07kk2RFUmABCKVgP8cDUYqQY6bBEgg6An89NNPtj7CpdUHH3yQIoUHGoR7ptjYWFvbPPCNQIMGDWTo0KG2SjNmzFDBXG2ZPEgWAT77ycKWKpX47KcKZl6EBEiABEiABEiABFKVQKFimaRtl4Ly3LCyMvjbitL7pRLS7p78UrNhdsmVJ0OSfalYM0Y6dM0vz75TWt4fV1UefbUUFR5JUmMBEiABEkhMgJYeiZkwhwRIIIwInDt3TsaOHWsbUc+ePSVjRv/89zdu3Dh58MEHbe3zwDcCcGeFWB5mvJVff/2VcVB8w5ioNJ/9REiCLoPPftDdEnaIBEiABEiABEiABPxGoEDRTIKtXrNcVptHYy9I7L5zEp0pvUTFb3B3lTl+i86cIT4vnVWOCRIgARIggZQRoKVHyvixNgmQQJATWLZsmc11ErrbqVMnv/X6q6++kkuXLvmlvTNnzsiaNWuUBcncuXNl7969cuVKYn+u3lwsLi5OxRyBUgZt7dy505tqHssgVsmmTZtk2rRpMnXqVNmwYYOcP3/eYx1vTiLewX333WcrOnnyZNsxD3wnwGefz77vTw1rkAAJkAAJkAAJkAAJBJJA7nxRUr56NilZIasUKZlZ8hWMlmw5M1LhEUjobJsESCAiCfhnqXNEouOgSYAEQoHAunXrbN1EAO2cOXPa8nw9KF++vJr8R719+/bJwoUL5brrrvO1Gav8P//8I/379xfEX3BKTEyM3HHHHfL888/HrwDK7Dyd6HjVqlXy1FNPWf0zC2BV+bBhw8wsr9JQdAwYMEApUVxVaNasmbz55ptSrFgxV6e9ysMY33nnHasslD8XLlwQKEQoySPAZ/8qNz77V1kwRQIkkJjAlClTBLG+KCRAAiRAAiRAAiRAAiRAAuFBgJYe4XEfOQoSIAE3BDB5bkqjRo3Mw2Sl0Ua1atWsuj/88IOV9iVx+fJl+d///qcsT1wpPNDWqVOnVBD2du3ayebNmz02P2nSJGnfvr1LhQcqIlZGv379PLZhnoSVCYK1I+jy0qVLzVO29Lx586RJkyYyYcIEW74vBwULFhQok0xJarxmWaYTE+Czf5UJn/2rLJgiARKwE3j33Xeld+/esnHjRvsJHpEACZAACZAACZAACZAACYQsASo9QvbWseMkQALeEHBOYhQoUMCbah7LpEuXTrp3726VmT59unJFZWV4mUCsEVhIeCOwtoA1xNmzZ10WX7t2rTz22GMuz5mZvgQJh4spWHh4K0888YRs27bN2+KJyhUtWtSWt2PHDtsxD3wjwGffzovPvp0Hj0gg0glAYd+wYUN5//33JU+ePFKhQoVIR8LxkwAJkAAJkAAJkAAJkEDYEKDSI2xuJQdCAiTgisCxY8ds2fnz57cdJ/cAbjDgekrLmDFjdNKrPZQXgwcPTlQWbq5Gjx4tn3zyiTRv3tx2HoG+f/zxR1uePhgxYoROWvu3335bFi9eLH/99Zeqp61TvInvgVgdQ4YMsdpCAsHGkQdlCDakTQYog2smVwoXLmyrevLkSdsxD3wjwGefz75vTwxLk0BkEBg1apTceuutAneX+/fvV4OuVatWZAyeoyQBEiABEiABEiABEiCBCCFApUeE3GgOkwQilcCJEydsQ/eHpQcaxGR/ly5drLa//fZbQaBvbwXKCygxTIF7qIcffljgPuvmm2+WL7/8Um655RaziIp7AZdXpsC6whn4G26p0L8iRYoIFD1wPzVx4kRp3LixWdVtGpNCpnIErqdmz54td955p1SvXl1tSGOlLJQhWhDkHFYpyRGn0sM5zuS0Gcl1+Ozz2Y/k559jJwEnAfzuwlXkc889pxYD6PP58uVTbiT1MfckQAIkQAIkQAIkQAIkQAKhT4BKj9C/hxwBCZCAGwKISeGcOM+aNaub0r5nY9JfCxQYUAp4K3PnzrUVhbus2rVr2/IyZsyoApybmRjP6tWrzSxZsGCB7RiKjWuvvdaWhwO0h4Do3sisWbNsxWDBkStXLlseDqBQgXWKKcmNxeG0wqGlh0nVtzSffTsvPvt2HjwigUgioJUd+K3C72fu3Lltw3/66adtxzwgARIgARIgARIgARIgARIIfQJUeoT+PeQISIAE3BBA7I1ASsWKFaVevXrWJXwJaO6Mt4B4Ha4ElilwpWXKnj17zEPZt2+f7dhdWyhUs2ZNW1l3B1u3brVOlSlTRurWrWsdOxPXX3+9LWvXrl22Y28PnJYyGTJk8LYqyzkI8Nl3AIk/5LOfmAlzSCBcCRw9elS++uorZdmhlR34LbvmmmsE5yCZMmWSYsWKJbKoDFcmHBcJkAAJkAAJkAAJkAAJRBKBjJE0WI6VBEgg8gjADZVp7XH8+HHJmTOn30DAQgMxMyBw9bR9+3bJnj27x/Yxue9UVJQuXdptHQRXnTJlinXeqVTYvXu3dQ4JTOx4ksqVK8v69evdFkH/TNdWZ86ckV9//dVteVgVmGLWNfOTSmvf6rpctmzZdJL7ZBDgs58YGp/9xEyYQwLhRGDDhg0yfvx4tenflBIlSsi9996rfp91XKwOHTrIpEmT5K677lLKj3BiwLGQAAmQAAmQAAmQAAmQAAnEezshBBIgARIIZwKIN2EqPQ4ePOhXpceNN96o4nvoayAIec+ePT0i1RMxZiFnQHDznNPtk1Pp4bT8gH9yT+J07eEs6+wfFDR9+vRxFnN7rFfRui3g5sSBAwdsZ6j0sOHw+YDPfmJkfPYTM2EOCYQDgT/++MNSdly+fFkNCTGt7rnnHhUra8CAAYLfZ8iHH34ogwYNUm6uENCcQgIkQAIkQAIkQAIkQAIkEH4E6N4q/O4pR0QCJGAQcE5yHjp0yDib8iTcY8DaQwsCmp89e1YfutynT+/bf71OSwqn6yLn9ZznXXbCQ2ZUVJSHs0mfypIlS9KFXJTYu3evLddVDBFbAR54JMBn3yMelyf57LvEwkwSCFoCsLDs1auXsuT45ZdfBAoPWDs++eSTykIRCvtnn33WUniMHDlSWTJCuX/77bdL4cKFg3Zs7BgJkAAJkAAJkAAJkAAJkEDyCdDSI/nsWJMESCAECFStWlVWrlxp9dRpTWCdSEECAc1HjBihWoDFx7Rp0zy2hjgdTkHQbndusZx9hqsOU4oXLy5r1qyxsuDCCytckyuu+teqVSuvm/M2doKzQV/ddDnr89hOgM++nYc3R3z2vaHEMiSQ9gSWLFkiX3/9tfz2229WZ5o2bSodO3ZUW3R0tMp/7LHHlBsrHPz0009SrVo1QYwPLD6glYeFjgkSIAESIAESIAESIAESCDsCVHqE3S3lgEiABEwC8OFvyu+//y6dO3c2s1KcLlWqlDRr1kzF9EBjsPbwJBkzZhQoLszYF5s3b5batWu7rLZu3TpbPpQcpiAQqylwd+Uct3k+qTQsRaC4MJVFb775phQsWDCpqsk+v2XLFhsPNORU7iS78Qit6HwG+Own/SDw2U+aEUuQQFoSQAwtuKeaO3eu1Q0sPMDvOoKUm9K7d28rHhZcWzVq1Eg+//xz9Vtzxx13SKVKlcziTJMACZAACZAACZAACZAACYQRAd98rITRwDkUEiCByCBQvXp120ARENwZs8JWIJkHCJKqxVRmIM/pngp5zmDjcLnhSqDAmDlzpu2UU8nhPB43bpytvPNg27ZtzqxExxUrVrTlDR8+3OU4bIVScKCDy+omGjdurFbi6mPufSfAZz8xMz77iZkwhwRCgQB+I9q1a6esM6DwQMwnuLBCLI8hQ4YkUng8+OCDlsJj7NixSuEBV5CjRo1Sw6WVRyjcdfaRBEiABEiABEiABEiABJJPgEqP5LNjTRIggRAgAIsFBHQ2RQczNfNSmm7RokWi63hq86abbrKdHjNmjG3lKk5igubll1+2lcNYnJPZ9erVs5WBYmfFihW2PH2wYMECQWDypOSWW26xFYFbkDfeeEPOnDljy/fHAVyCoX1T2rdvbx4ynQwCfPbt0Pjs23nwiARChcDixYuVS6rVq1dL+fLllZID6b59+7q0CHzggQdk+vTpanjjx4+X+vXrqzR++2FVeeONNyolSKiMn/0kARIgARIgARIgARIgARLwnUCGV+PF92qsQQIkQAKhQQDuahAvY+nSpVaHN27cKN26dRNfgha/9957Vn1MJkPJYQr8g0NJgckZp1x77bXWpIs+B7caEyZMEMTf0IJjKABiY2MFLjxef/11WbRokT6t9gMHDpRatWrZ8hCHYNWqVWKuYsdqVihI4Nf8/PnzAvdRcLsFX+ZO6dGjhziDXsOFFpQja9eutYr//fffyoc62jtx4oTExcXJ4cOH1XWXLVumVtWCg9PyxGrATQIKH9MvO4q98847ktyA6G4uE3HZfPb57EfcQ88BhyUB7dIR7qqwEABxOfD/myvp3r27zJ49W52aOHGi5TYSAc4HDBgghw4dkn79+kmFChVcVWceCZAACZAACZAACZAACZBAmBBIF+925UqYjIXDIAESIAGXBOAiCu6STOnQoYN88MEHbidOzLJIlyxZ0sqCwgQKCafs3bs3kYsNlHn++eflkUcecRZXSgJM4ngriHExZ84cQUwQpyxfvlyc1hnOMvoYyhAoK7TAVUjp0qX1obU/duyY4gZFjLfSp08feeaZZ7wtLuvXr5c2bdrYyt99993y1ltv2fJ4kDwCfPbt3Pjs23nwiATCiQDcTMLdFWTy5Mk2q0hYE+K3GMoOxDeikAAJkAAJkAAJkAAJkAAJhDcBurcK7/vL0ZEACcQTKFq0qDz99NM2FpMmTZInnnhCWSzYTqTgoEiRIspthrdNtG3bVt59912vijdo0EBgEeFK4YEG6tatK4i7kZQ0b97ca+VIrly5ZNasWQIFkbdiWpskVWf+/PnKP7tZLiYmJtG9Ms8z7RsBPvtXefHZv8qCKRIINwJdunSxFB5Tp061KTwwVu3WEr+7FBIgARIgARIgARIgARIggfAnQKVH+N9jjpAESCCeQK9evQRuqUyB6wtMhA4bNkz++ecfgaXGxYsXzSIu057cLpkBzXXlrFmz6mSiPYKpwhUH+oEJf6fAugMKG6xSLVSokPO07RiWHpjsccb4QCG0AwuKjz/+WKCc8VYKFy4sH374obp+06ZNXfbRbAsur9wJ3IzBnzpijsDneteuXZU7L7P84MGDfYqNYtZl2jUBPvt89l0/GcwlgfAgcPvtt1uuJeEqsWrVqraBIa4HfuMhVHrY0PCABEiABEiABEiABEiABMKWAN1bhe2t5cBIgAScBOCu6bbbbpNNmzY5T1nHX3/9daJ4HdbJACfgbRCKF2yIN4KAra4UId50A8obKBgQM6RUqVJSsGBBqxqUD4jJAWUMtkyZMlnnvEmg7s6dO1UbuE7mzJmVogLKFE8KIViMrFy50u0l4DIMrsMo/ifAZz+BKZ99/z9bbJEE0pJA586dBfGmIHBb5SpWB6xAEG8LCo8RI0akZXd5bRIgARIgARIgARIgARIggVQikNgxfCpdmJchARIggdQmAHdNv/zyiwwaNMhydeHsA4J3p5UgMCvcEWFLqcANFoKlu5Ls2bMLtuRKjhw5VCBZX+vv3r3bZRXEWYCFR+vWrV2eZ2bKCfDZT2DIZz/lzxJbIIFgIdC+fXtZtWqV6g4sJsuWLZuoa9OmTbOsQGBZSSEBEiABEiABEiABEiABEogMAnRvFRn3maMkARL4j0DOnDllyJAhMm7cOLnzzjsTWVLs37+frAJA4Pz587bg6bhEtWrV5MUXXxQEUqfCIwDQHU3y2XcASaVDPvupBJqXiSgCN910k6XwwG+IK4UHgOhYHq1atZKWLVtGFCMOlgRIgARIgARIgARIgAQimQDdW0Xy3efYSYAEVAwPuJM6fPiwnD59WllZwB0Uxf8EsBI3OjpaucIqUKAAY3f4H7FPLcI1GZ99n5AluzCf/WSjY0USSEQASvINGzao/Pnz50vJkiUTlUEGlCHdu3dX57766isqPVxSYiYJkAAJkAAJkAAJkAAJhCcBKj3C875yVCRAAiRAAiRAAiRAAiQQVgRatGghW7ZsUWNauHChFCtWzO34evfuLVOmTBFYeXz55Zduy/EECZAACZAACZAACZAACZBA+BFgTI/wu6ccEQmQAAmQAAmQAAmQAAmEFYFmzZrJ9u3b1ZgQmLxIkSJuxwfFCBQekK5du7otxxMkQAIkQAIkQAIkQAIkQALhSYBKj/C8rxwVCZAACZAACZAACZAACYQFgSZNmsju3bvVWJYuXSoFCxb0OK5vvvlGne/YsaM0b97cY1meJAESIAESIAESIAESIAESCD8CdG8VfveUIyIBEiABEiABEiABEiCBsCDQqFEj2bdvnxrL8uXLJV++fEmOS8f5GDdunNStWzfJ8ixAAiRAAiRAAiRAAiRAAiQQXgRo6RFe95OjIQESIAESIAESIAESIIGwIFCvXj05dOiQGss///wjefLk8Wpcbdu2lQoVKlDh4RUtFiIBEiABEiABEiABEiCB8CNAS4/wu6ccEQmQAAmQAAmQAAmQAAmENIHatWvLkSNH1BhWrlwpuXLlCunxsPMkQAIkQAIkQAIkQAIkQAKpR4CWHqnHmlciARIgARIgARIgARIgARJIgkC1atXk5MmTqtSaNWske/bsSdTgaRIgARIgARIgARIgARIgARK4SoBKj6ssmCIBEiABEiABEiABEiABEkhDApUrV5bTp0+rHqxbt05iYmLSsDe8NAmQAAmQAAmQAAmQAAmQQCgSoNIjFO8a+0wCJEACJEACJEACJEACYUagfPnycv78eTWqDRs2SObMmcNshBwOCZAACZAACZAACZAACZBAahCg0iM1KPMaJEACJEACJEACJEACJEACbgmUKVNGLl26pM5v3rxZoqKi3JblCRIgARIgARIgARIgARIgARLwRIBKD090eI4ESIAESIAESIAESIAESCBgBK5cuSKlS5cW7CFbtmyRjBn5iRIw4GyYBEiABEiABEiABEiABCKAAL8oIuAmc4gkQAIkQAIkQAIkQAIkEGwELl++LOXKlbMUHtu3b5d06dIFWzfZHxIgARIgARIgARIgARIggRAjkD7E+svukgAJkAAJkAAJkAAJkAAJhDiBixcvCmJ4wKVV+vTpZdu2bVR4hPg9ZfdJgARIgARIgARIgARIIFgIUOkRLHeC/SABEiABEiABEiABEiCBCCAAhUflypUF+wwZMsimTZuU4iMChs4hkgAJkAAJkAAJkAAJkAAJpAIBKj1SATIvQQIkQAIkQAIkQAIkQAIkIHLhwgWpWrWqnD9/XsXu2LBhA2N48MEgARIgARIgARIgARIgARLwKwEqPfyKk42RAAmQAAmQAAmQAAmQAAm4InDu3DmpUaOGnD17VqKiomTdunVq76os80iABEiABEiABEiABEiABEgguQSo9EguOdYjARIgARIgARIgARIgARLwigAUHXXq1JHTp09LdHS0rF69WjJlyuRVXRYiARIgARIgARIgARIgARIgAV8IUOnhCy2WJQESIAESIAESIAESIAES8InAmTNnpF69ehIXFyeZM2eWFStWSJYsWXxqg4VJgARIgARIgARIgARIgARIwFsCVHp4S4rlSIAESIAESIAESIAESIAEfCJw6tQpadiwoZw8eVIpOpYvXy4xMTE+tcHCJEACJEACJEACJEACJEACJOALASo9fKHFsiRAAiRAAiRAAiRAAiRAAl4RgMKjSZMmcvz4ccmaNassXbpUsmXL5lVdFiIBEiABEiABEiABEiABEiCB5BKg0iO55FiPBEiABEiABEiABEiABEjAJQG4smratKkcPXpUWXYsXrxYcuTI4bIsM0mABEiABEiABEiABEiABEjAnwSo9PAnTbZFAiRAAiRAAiRAAiRAAhFO4MSJE9KsWTM5fPiwsuxYsGCB5MqVK8KpcPgkQAIkQAKRRgCK/5IlS0rFihUjbegcLwmQAAmkOQEqPdL8FrADJEACJEACJEACJEACJBAeBODKqmXLlhIbG6ssO+bPny958uQJj8FxFCRAAiRAAiTgJYHVq1fLsGHDVOmzZ8/K9u3bvazJYiRAAiRAAv4gQKWHPyiyDRIgARIgARIgARIgARKIcALHjh2T1q1by8GDByVnzpwye/ZsyZs3b4RT4fBJgARIgAQikcAbb7wh33//vTX0uXPnWmkmSIAESIAEAk+ASo/AM+YVSIAESIAESIAESIAESCCsCRw5ckRuuukm2b9/v3Jl9fvvv0v+/PnDeswcHAmQAAmQAAm4I3Du3DnbqcmTJ9uOeUACJEACJBBYAlR6BJYvWycBEiABEiABEiABEiCBsCaA2B3t2rWTvXv3KldWv/32mxQsWDCsx8zBkQAJkAAJkIAnAojnoSVbtmyybNkymTNnjs7ingRIgARIIMAEqPQIMGA2TwIkQAIkQAIkQAIkQAK+EkAw8LFjx8rTTz8tr732mqxbt87XJlKlPBQeHTt2lD179ihXVlOmTJHChQunyrV5ERIgARIgARIIVgKwgNRSqFAhlcRvJIUESIAESCB1CKS7Ei+pcylehQRIgARIgARIgARIgARIICkCS5YskX79+snu3bttRRs1aiSvvPKKVKlSxZafVgeHDh2SW2+9VXbs2CH58uWTiRMnSrFixdKqO7wuCZAACZAACQQFgRUrVqgFAbozTZs2lT/++EOyZs0qcP/I30pNhnsSIAESCBwBWnoEji1bJgESIAESIAESIAESIAGfCIwZM0buvPNOS+GRPXt2qz6UIYibAcuPtBYEK7/99tuVwgOxO8aPH89JnLS+Kbw+CZAACZBAUBCYOXOmrR9QcmDBwunTp4XWHjY0PCABEiCBgBGg0iNgaNkwCZAACZAACZAACZAACXhP4L333lPurFCjcuXKMnr0aFmzZo1SLLzzzjtStGhR1diXX36plB9OSxDvr5SykgcOHFCKmW3btkmBAgWUG64SJUqkrFHWJgESIAESIIEwIQBrDlOioqKkTZs2KotKD5MM0yRAAiQQOAJUegSOLVsmARIgARIgARIgARIgAa8IDBw4UIYPH67KPvnkk4Jg4HBnpQVWFYsWLZKXX35ZYP2BGB+w+pg+fboukir7ffv2yd133y1bt24V+Cj/+eefpVSpUqlybV6EBEiABEiABIKdwLx58+Tff/+VjBkzWl01lR4rV65kQHOLDBMkQAIkEDgCVHoEji1bJgESIAG/Ejh57Io4t0sX/XoJNkYCQUcgNjZWFi9ebNvmz10kc2YsU+5/Lly4EHR9ZodIwFcCcGn11VdfqWqw6Ojbt6/bJh544AFLIYJg5w8++KBV120lP53Yu3evdOvWTTZv3qyClf/4449SunRpP7XOZkiABEiABEgg9Alo11Zw/agFSo+KFSvKDTfcoLJo7aHJcE8CJEACgSNwVfUcuGuwZRIgARIggRQQgN90rKjdsmWLLFu4SXbs2ibp0qWTrFli4rfskit3NsmRO7PExZ2SkydOSdzJODl1Ok6iojNKw2tqSO3ataVZs2Yp6AGrkkDqEcDqdcQtwCq4FStWyvbt25K8eK5cuaVgwYJStmwZufHGG9WWJUuWJOuxAAkEAwE8808//bTqChQesOhISuAbHK6v4OYK8T1gJYJ2UD9QAoXHfffdJxs3blRutr755pv4v7mygboc2yUBEiABEiCBkCOAmB3atRXeTWEdCdFWH3hPxXkoPWDVyYDmIXeL2WESIIEQIpDuSryEUH/ZVRIgARIISwJHjhyRPHnyqLHpAHd4Gd6wYYNgoimlgkk0rCzClj49jfxSypP1/U/g6NGj8u2338sPP/wghw4dSNEFMmXKLC2ubyU3tmklnTt3TlFbrEwCgSQARQWClsNiw1uFh7M/aKNnz56yZ88e5Q7r888/lxw5cjiLpegYsUNwjfXr1yuFB6xSKlWqlKI2WZkESIAESIAEwo3AxIkT5fHHH1cLzjJkyCCzZ89WQ3zqqafkiSeekJMnT0rLli0FsbGwYKFHjx7hhoDjIQESIIGgIUClR9DcCnaEBEggUgn0799f4CJkx44dyp87Atm6knx5C0vRQmWleJGyUjR+Kxa/mVK4YCnZf3C7rF73p6xev0TWbVhqnlbpKlWqyB133KG2mJiYROeZQQKpSeDixYvy08ixMmnSZFn61x+JLt2l8+OJ8uJOHZdjx2MTthMJe+S5k6xZY6RmzRpqMhiBoTFRW7JkSXfFmU8CqUYA/9frGB7JVXjozkJp0q9fP5kxY4bg//lhw4apvT6fkv2uXbvkoYcekrVr16oVqVCq4BoUEiABEiABEiABO4GHH35Ypk2bpn7fJ0+eLLNmzVIFnn32WXn00UdV+qWXXpLvvvtOmjdvHr/g51t7AzwiARIgARLwGwEqPfyGkg2RAAmQgO8EevfurcybnTWjoqKlZrUmUq1SI6lasX68kqOcZMmc1VksyeNNW1fK3yvny6jx79vKwgc7lB9YYZw3b17bOR6QQGoQ+PqLkfLp/z6OV9TtSXS5hnVvkK63P62Ue4lOusi4cOG8HIrdIwdj98qhw7vj09jvkX0HdsqGzX8nqgHLJ7oUSISFGalEAJYZUFBgD0mpwsPsNtodO3assvRAu3CjkRLZuXOn4Hdq9erVUqJECfn000+latWqKWmSdUmABEiABEggLAkgeDl+dytUqCDTp0+XXr16iY7v8eKLL6pjDByBzhEfS6dLlSql0vyHBEiABEjAvwQY08O/PNkaCZAACXhNAGbOziB2rZvfKXVrtpDqVRvFKzlSbolRvkxNwSZyRWrXuE6mzPhO5i+eJNu2bZO3335brS7CJBkUIBQSSA0Cxw9fUTEIxk5ICNqsr1m+bE2pW6N5/PPfTMqVqaGzvdpDSVikcGm1OSscOLhbxk3+VGbMHWWdQtDoW2+9lX6ULSJMpBYBPHs6fgeu6U+FB9qDhQcEig8EOEdAdCj4kiPbt29XCg9YeMA66uOPP6bCIzkgWYcESIAESCAiCOA3HtKpUyflTth0KYxA5loQa7F8+fKyadMmmTt3Ll1caTDckwAJkICfCVDp4WegbI4ESIAEvCHQtWtXmT9/vlW0WeOOclOre6ViudpWnj8Td/7nJqjCI7WkWeNOMvn3b+WfVfNk//798swzzwjcl0D5QSGBQBFAbJpvvhotU6dOkV17NqnLwCVbwzo3SIO6raRyhboBuXTBAsXkkfvfkOubdpaRY96VNf/+KYUKFlHBmK+55pqAXJONkoArAgg4jsDjWqCM8CZouS7v7R6KD7i7gqsruM9CPA4oV3wRKMZh4QFrFFgGfvTRR1KtWjVfmmDZECGA5wOuBuHyMn/+/CHSa3aTBEiABIKPwIQJE9T/pVB6QNKlS2d1Ugcy1xktWrRQSo85c+ZQ6aGhcE8CJEACfiZA91Z+BsrmSIAESCApAt27d1erelDumvpt5KaW90j1Kqk/+Tpv0SSZEq/82LRlpepynTp1VBBpxvpI6g7yvC8ENm7cKD///LP8PHqMHD9xTFXt2OYBaXpNOylburovTfml7NCPHpNFS6epth555BF5/vnn/dIuGyEBTwRg3aFXgKLcbbfdZllleKqX3HNQesCCD4HHIVCueKv42Lp1q1J4oG6ZMmWUhUckxPBAXK3Tp09byCtWrKhW6loZYZg4ePCg1K9fX42sXbt26l6H4TA5JBIgARIIOIGpU6cK3iu7dOmirOlxQVhcws0VZOjQoTbL+iVLlig3wzgHd1d0cQUSFBIgARLwL4H0/m2OrZEACZAACXgiAKsKmDGXL1tdXnzqC3n2sY/SROGBPjZr3EGGvPKLtGx6m+ry33//rYLT/vXXX56GwHMk4BWBc+fOyYABA+Tmm28WBD7WCo+X+n0lPe7unyYKD3T8mT4fSuMGN6kxfPLJJ/LCCy96NR4WIoHkEIDyAbGTUlPhgX7myJFDKRsrV66suu10q+VuLFu2bFGTNlrhMWLEiIgIWn758mXp3LmztGnTxtrg1ivc5cqVK+E+RI6PBEiABFKFwMiRI9V1oPjQ4snSo1GjRpYFJb4NKSRAAiRAAv4nQKWH/5myRRIgARJwSeCxxx5Tk1CYcH2p39dSt1Zzl+VSO7NPr8HS6aae1mUR6+D48ePWMRMk4CuBQ4cOyX333Sf4ACxbOmHSFW2M/26z1Kl5na/N+b08FB/Nm3RW7f7ww/fSrl17v1+DDZKAVnhgNaeWQFt46Otg70rxAQUM+uVKNm/erBQeCMRarlw5gcJDK01clQ+nPCh5Dh8+bBsSVt5SSIAESIAESCApAqtXr5YFCxZI8+bNbRYbptLDjOmh24OLK8jSpUt1FvckQAIkQAJ+JEClhx9hsikSIAEScEcAq0cnTZoktao1lSceGibZs+VyVzRN8rvf9bw81H2gde327TkJbMFgwicCK1askHr16snChQvlkV7PxLtPW6fqfz58gU/tBLrwEw8NlTs7Pa4us3r1KhWoOdDXZPuRQ0ArPBATQ0tqKjz0NZ2KD9Odhi6DPYKpYnXqhg0bVHDVSFJ4YPxmjC249ILMnDlT7fkPCZAACZAACXgiADeukJdeeslWzFulB6ztKSRAAiRAAv4nQKWH/5myRRIgARKwEShZsqTyq16hbK14hcdQiY6Ktp0PloM28bFF3h80RXUHvs3hh5ZCAr4S6Nixo6oyfuxMmTDpZ7l06aIMfnmM5MtbyNemAl6+yy2PS63qTa3r3HxzWyvNBAmkhABieJgKD1hMIMB4WohWfGTPnl1dHv1C/0wpX768NG7cWFl3QOGBeBaRJFrBUbNmTYG1I+Sff/5JZP3hiQmCge/fvz/+/7xLnoql6Tn0UQcu97UjcAGG8cF1oa+CugcOHJCzZ8/6WpXlSYAESCCoCZw/f16mTJkiVatWVVaSZmeTUnrUrl1b1du3b5+sWrXKrMo0CZAACZCAHwhQ6eEHiGyCBEiABNwRQDwDSOGCJeXxXkMkV8587ooGRX6J4hXlx88SApsj8N57770XFP1iJ0KDgJ4sXLZwm7z66quy78AOeebRD6ViudpBO4AXn/pcsmbJpvq3du0aee6554K2r+xYaBCAQkEHLkWPofDQq0DTagROxYerGB8DBw6Utm3bSoUKFdKqm2ly3aNHj4qOZQXXJE2aNLH6AYs1V9KhQwepU6eOUh7pwO81atSQhg0bquDvffv2FbRryuuvv67qoJ4n/+34fxRlsMXFxZlNJDsN911wbVa2bFk1PvQVK5JPnjyZZJtQ/qBu6dKl1fjwfLRq1Uq+//578RQTBAqW7777Tj1TqNugQQOlTAM7sNi1a1eS12YBEiABEgh2AhMmTFAKcleLxUylR8aMGV0O5brrEty+0trDJR5mkgAJkECKCFDpkSJ8rEwCJEAC7gkgaDkCoaZPn14e7PaqFC1Sxn3hIDqTJXOMDHzuO9Wj4cOHe5ycCaJusytpTOCDDz5QE4cvvzBYhr3znqxcs0Duu2uANG6YEDQ8jbvn9vIZMmSUF+IVH1pGjRqlJur0Mfck4AsBKDzMoOUIVAqFB5QOaS1VqlRRfdEWH+jnl19+mdbdSvPrL1q0yOoDrF2qV68uMTExKm/OnDnWOTNx8OBBNcm1ceNGZcGDVb6nTp2yiowbN07uvfdem9VHy5YtVR3EDvnxxx+tsmZi79696v9RlClcuLBky5agkDXL+JrG+OBi04wtg75CIYHNk+DZ7dSpk60uysMd2osvviiPPvqowIrDKYjrdMsttyjFypo1a2ynV65cKV988YXcfvvtgvFSSIAESCCUCUycOFH9xrdu3TrRMPANqCU6OlonbfumTRMsjqn0sGHhAQmQAAn4hcDV/4X90hwbCRcCWLmFD7iPP/5YYG5JIQES8I3At99+a63s7dX1FZsLHd9aSpvSNao2lntvT3B/Mnny5LTpBK8aMgQQx+Ojjz6SfPnyScHc1WXU+Pflums6SIeb7g+JMVSpWF+63fGs1df333tfuYCxMpggAS8IQIFgKjwQw2P06NFBofDQ3XcqPl577TVbn3W5SNqbig24GsFqXL3yFhY7sFhwJ5jAx28kLB9eeOEFtddlMdn/+++/60OBAqxEiRLqGO1CMeCUP/74w8pq166dlU5uAgqJl19+2aqOPsCC85133lGWF3hXcSexsbGCxRtaUHfAgAHK6kPn4Vth2rRp+tDaDxo0SMBGCyxFoCTBXiuU8H3Rq1cvXYR7EiABEghJAghg3rlzZ8maNWui/ntj6QHrQsSSgvKEQgIkQAIk4F8CEaH0wEs1zKjvuusugSa9d+/eKjihJ5Ns/2IOvdawKgychgwZIm+99VboDYA9JoE0JAA3GfrvptNNPQWxMkJRbm3/sNSrdb2aEJs9e3YoDoF9TiUCUJDDz/uzT74lv80YIzFZc8it7R5Opav75zKd2z0o9Wu3VI3FHo6Vb775xj8Ns5WIIABlBxQIWtIiaLm+dlJ7p+LD6Y4rqfrhdB7xN6ZOnaqG1KJFC8mUKZNKa6UHLCJWr17tccgPPfSQspiBaxMovh577DGrPKw9tWDFb9euXfWhwCWKU2bNmmVlQZGSUsFkHKwyIIhXApdUmJyDlQWs2vQKY1fXMa2AbrzxRhk5cqRgrPg2GDx4sFUFChRT4A5r/PjxVhYUI6gDBQf2eJ+A8qdatWryySefWOWYIAESIIFQJIDFDebvv7sxREVFuTulXCXefffdbs/zBAmQAAmQQPIIhL3SA5P3MCeHGTXSO3fuVBYMDzzwgCDYKnzcUhITuHDhgpWJVQdOv8TWSSZIgAQSEfjss8/kzJkz0iB+ArX7Xc8nOh9KGc0ad1LddTU5E0rjYF8DRwB+2WfMmCE3tGwjuWMqy68zvpFb4hUeJYpXCNxFA9Tyza26WS1//fXX4nTLYp1kggQMAggMbk54BLPCQ3fbleLDDLyuy4X7Hn/j2i1Vs2bNrOFec801Vnr+/PlW2lUC3xSmQEGgxRm3AgoHLXBxZS7AguJYx4KBUgDB5VMqpsKmZ8+eYrpXyZAhgyDPnZiuVvr06aMsYHRZKE3y5s2rDhHT5MSJE/qUFR8FGU8++aRSblgn4xOFChVS1jFwAaYtX8zzTJMACZBAKBGAFZw7MS09PCk9EE9LL5hz1xbzSYAESIAEfCcQ1koP+ImFdYf+mHHigdk1fNz+8MMPzlMRf4yVb6bAxN1bQVntJ9hfARi9vTbLkUBaE1i6dKk1adHxZveTCWndT2+vf22jtlK2dHVlcv3vv/96W43lIoiAnhDs8+AgGTS8l1St1CBe6fFgSBKoVb2JNG+SoOiDSxtae4TkbUzVTmOyt1+/ftakbygoPDQgU/HhHIcuE+57/f8XxmlOXCHwNmJqQKDU9SQFCxa0nS5QoIB1bC4iQmb+/PlFu62CsgCuAbWYSgYszPKHmDEzEKvEKZ6UDtpCBHXwrJgCF2D16tWzsvbs2WOlt2zZYqVN5ZGVGZ/ImTOnZVVj5jNNAiRAAuFEwFulRziNmWMhARIggWAiENZKD9Ms2xN0+OCFq/eBnQAAQABJREFUK6fjx497KhZR55xKj7Nnz3o9fgRufOmll9SG4IfulE5eN8iCJBBCBMaOHat62751D0GcgHCQ5v9Ze9DXbDjcTf+PYebMmVK8eHH5YeQXsn3n+ni3Vo/4/yKp2OLNN1x1PwOXRXAPQyEBdwTgGkpbSISSwkOPB5PZw4YNU4cYR6TFWDBjbowYMUL69u1rbTqmHaxBELjclWhrB1fn3OVhQZYWBArXMm/ePJ20xQaxMpOR2L9/v1ULigan6PgaznzEAkEwdQjKQMnhFChwtJjxSUxFS+7cuXUR7kmABEgg4ghQ6RFxt5wDJgESCDICYav0gDk5XFqZAl+9iO3x8MMPJzK1hr9ZBNfjBH0CMXzsmLJ8+XIV1BUuwn755RfBhyF8uMOiA8f6wwh1TJdhWCWGD0inEsVsm2kSCBcCeN7x95AzR+74AM6hb+Wh70vzaztLvjyFZfy4CXLy5Emdzb0HApggmzt3rjhX+XqoEpKnMNEF/+wTfp4vE6Z9Kc0ad5TaNZqG5Fh0p8uXqSltW11VfMDNFYUEXBEYPny4ZdkXigoPPSa4Y9JxGZYsWSIDBw7Up8J6D8tkM9g2FPtwuaQ3c/ALFy40D1OUhvWDtiKBiyv97aFdW0GRUqNGjRRdQ1fOkSOHToovC5gQf0QrdNA/V+/xputbXRYXg/sqLVpxpI+5JwESIIFIIkClRyTdbY6VBEggGAmEpdIDH2ymP10NftCgQdKtWzfp37+//PrrrzJ06FB9Su0xWQ/fs6Z/XVuBCDk4ffq0FfRQD/mVV16RJk2aKHdhTz31lLz99tsqGCEsOnCMDQJ2lStX1tXUHh9xH330kS2PByQQjgRg5QGXOHVqXC/58l796A/1sWaLyaGsVvbt3+sy8Gqojy8Q/X/88cele/fuKkgs/n/87bffAnGZNG9Tu31ZtHB5vILnfHzg+xZp3id/dODmG7qpYOxoC+8U+F2k2AksXrxYItnlHd5t3nvvPQXl/vvvt6wl/s/eWYBZVXVvfNEhIUg30ooCIoJ0SCPwAQYqioiYKKJiYfE3PuMjRMUAFCxCFJCSUEBBUqSVkO5GOmb+593DPu45c+/MnZlb59x3P8+ZUzt/586N/e61VmJK7jlDjAYtfIwcOVJg5eT1ZFpxYdIerp6cm2YAcTdYCbE0unfvbleHzwcs1oK7K6T27dsLRIdgJFjh6bR161Z9aO8RR8RfKleunH3LdHWFixBBTHdcxYsXt/Oa5X7++Wf7Og9IgARIINYIUPSItSfO8ZIACUQbgeB8o46iUWF1li+LDZhm586d2+4pfkzceuut8tVXX9nXcIAJHK9OTiUa6KUTrEbGj9x+/foJAjE2aNBAiRb6h6+vMr6u6RVg+GD/5ptv5KGHErs3gcjERAJeJoAVlLDyQKplBTD3WipVIiEo9YoVK7w2tJCMZ+DAgUpkxypXvC4eeOABNZEFt4umZVxIGg9jpZMnT5ZmzZrLG+88KfkvLySIAeOFVKxoWWlzydoDsalMv/teGF8wxnD77berBSY33HCDmvyHCHD06NFgVB31dcANFNxaIeH7EhaGeCGZwgcCs2u3XV4Ym68xmELG9OnT5ZdffkmyVa1aVRWdM2eOWtTgq560XHMGNEfbOrVo0UIfpnt/5ZVX2nX4imH4/fff2/edB6a1yccff5xoUdi0adNEW3HAauXyyy+3i1erVs0+RlykYFrJ2BXzgARIgARcQMAUPXy5CXTBENhFEiABEnA1gaQOWl08HEy+wJWSM+FHXO/evROJHjpP/fr1lcsrWCzo9Pbbb0vz5s19+q/VeaJ5j0kHuFWBD+INGzaofdasWQUBDBG/pEyZMqr7mMjBajL9oyU1Y4KIBPP8ChUqCH5QtW3770QX/Pc+++yzSvjADx34Ey5dunRqqmdeEkiRAMRNvPbgtg6vxVy5cqVYJpQZtmzZInD1U/CKonJjrZahbCoidZe+JHqsXbM+Iu27rdFixYqpzxbEOIIbQEwQwY0KNrgHRLwjCO+VKlVy29AS9Rcrh7XP+BaNb090z+0nTep3kvGTP1DDgNhXt25dtw8pqP2fMmWKcm2G7xtw84SEic/GjRtLkyZN1N6cCA1q4xGszAz4DcED3zG9lPR4IOrgcxZj9GU97fYxwyoT8YiQ8F3CGYxcjw+vZXyfhosnvA/UqhWcWF1or3Xr1gKxZdmyZXL48GHVJL5fQ0gMVmrVqpVyUwWxHa588Vzx+QPXVBBzna6AzXaxGErfx6Ky06dPWyJ3M8H7vmnB/eSTT5rFVEB4vGa0u6477rhDOnXqpAKfI8g7FomgPzt37pSnn36aAc0T0eMJCZCAlwiYVnuYj2EiARIgARIILwHPiB4wUYewYSasNMIPcdPM2ryvj+HyavHixYIf8EgwL8cPkDp16ugsYdvjRxXiZ8DMPUuWLOqHjxYpkusEfohgUg3+iM1AiGYZiBs5cuSQ9957T13+66+/AhY8sIoLQlDNmjWlevXqSsQwVy6Y7ehjBExs06aNPg1ojx+hXAUREKqYzwSXM9jgDxsJE20QMWvXrh00X9ipgazdUtSu6T3BAxyuLJOw2vXPv9ap1dxenMxMzfMONC9EDbhWhFvF+fPnqw0rejGRhA3CMzZMrLntvQ8TV1rwAI+mDTsFisUV+YoWKW25qmskv6+aJ3Dl9Mgjj7ii3+HqJBZSYHv88cfVpDDED7zGJ06cqDa8R+B1jUlSiNOYzHV7guABIQAWEHCHqgUCt4/L2X89LkyQ9+rVSwkf+pozr1vPIUDrWBp4jfpLcO06dOhQdRvfr4MleqBCiAEQPZD0dwh8bw7mZ0H27NnVgifthhZuy0zXZRAjIGj4ShDv+/fvL6+99pq6jb7q/ur8EINNqxV9/ZVXXlGucvW4fMVJQd4777xTypYtq4txTwIkQAKeJRDM93bPQuLASIAESCDIBDwhemDCH/7TzQTfvHAjUrBgQfOy32P8qNOiBzLBB61T9IBoAN+3JUqUCOoPErSHyf5x48apH5ZO1ycQHO69917lHgV5zYRVZ5j0xeot/ePNvO88zpkzp33JdPdlX7x0gMkJsz5M2HXo0MGZLd3n4IkfUIiFAN/Auk34VL7++usFgUHxHOD/OLUJ4hGsdsATliZYrQgrFCZvEMAKTbx2IPYhHg8m3LAhlS9fXm666SZp166dmpRTF0P8R/+wr3uDN0WP/PkKWVYsxeTAod3Kj7/z/THEeF1fPSyRMJmFDe4A8VqFWxG4U4SVYv78+dVrFpNvcDPohgliWDfpVLzolVKp/HX61DN7LXosXLhQ4uLiguZn3zOALg0ELoCwPfroo+r9AZPD2PAax4ZV7Vr8wN5c+egmFhABIHjA/ZAvy2I3jSWlvkLkQDyInj17KusALA7C9yivJCya0AkLJvylGjVq2Lcg6uE1kJqU3MpeCCr4jm9aXEMED3bq3LmzsvaAFbbZFj7H4ZoNFhn6+7ez7fvvv19ZdSO4vf6egzz4jILbRojBvibyIJigXrjFgiths12zDVi4UPQwifCYBEjASwTMRaJY0MpEAiRAAiQQXgIZrMDT8eFtMvitYcWS80cIBAysQAw0YTIDk+xacEAwbjO2B1aEmT9E4KMd+ZNLEGMwsXX11VerwIj+8mLCFqLL9u3b/WVR1yF84MeJ/vBEOZitJ5cg/kCkyZMnj9qeeeaZRK6mMBmB1YqYrMBKedSHY/w4gcsgnfCjJaW2dN5A9/CljPGkNG78IISLGPy4cn5ZwDPC6jU8L6xE00HUIXhg9ZqZYPmDlWa+fpyZ+XjsPgJaAMHe6VMeFkoQP7CF8tk//FBvmTptsnzzySrJnv1fcdF9NP33+PWBvWTZHz/JSy+9pGIA+c/JO4ESwPsfxDsI1/icQYIAghXyjRo1UhZ2plgdaL3hyIf3X7wvIzWo0076PpwQ1DkcbYerjRMnj0u3hxLEnDFjxiT6XAxXH9zczqZNm5T4oUUQjAWLECAaYHU4vh+5JeF7Jr5vImAzXvv4XhULCSIPXPH9888/6vui18WecD/Tc+fOKUEQnwX4zr5kyZKQfleBWytY6MGlV7Zs2dRw8dsHx7AGT26REYQR9LNAgQIBLyrTPE+dOqV+W2CPtvD/g4VpybWny3JPAiRAAm4lALEZ8U4xf7N161a3DoP9JgESIAHXEvCEpcesWbMSPQC4b0qN4IHCWHWIlV5wD+UrYbLDTPCDm5Lo8c477yhrE5TDZCziXzgTJgSwAsvfCisz/2effaZcKehJAu3Wx8yDY1hJIJA4JhXwwyS5hEkHX2bpTt/GgfTP2Q4mn/HjyrmCCz+2MGmqff06yznPIcCAJVblffDBBwK3WTrBjQb6BndkCNAINzIIzt6tWzedxd5jQhEBFbFqkclbBGDVgU3Hs4GlFgRHnOP9AduQIUNU7BmIH5UrVw46ALiLK1v6Ks8KHgBWvmxVJXr8sWJV0PnFaoV4v4ZwgA2vW4gf2CCsY4NojZhJ2MzgsNHAy/zxVrhgqWjoUtD7kOuyPHJ99SbW6/7noNcdCxXC6g4bYgNs3rxZiQUzZ86UTz/9VG1YXIHXNvz/w9d/tCZYDmuXQHBLFyuCB57HVVddpVzxwa3X4MGD1XuS11xdRep1hwVX+D6sF//AUiqUizMwTlg8O62eIbYEkmDdoRcXBZLfzAPxPiV3w2Z+HpMACZCAFwjoxarOhZteGBvHQAIkQAJuIJDRDZ1MqY+rVv07AYeJ/pTcMEGwwI84/NBGoG2dTBN05w8Csw3kT+kHLwxoTKHEtBrR7WHCCKvnTEEBPzwwwQ9XT5jQx3jMNGfOHPvU3+ooBBeEn+CUBA+7Ih8HqNt0rwIhITUJrkDg5xfWI3DBpRNWCsK3tz/B45577lHjh7m8c4IPfvARfBHxTnQy3ZdhpRqsa1DWZKrzYm8+E/M6j71BAD7k8RqBwIGVxdjjHK6F4JYBfrkxuQZR0N9rMK0kNm3+Sy7LkTutxV1Vbs/uva7qr1s6C+sOuI+BSPf888+r90AEeoWlHSwNu3fvriZesVI2GpLp3qpQwRLR0KWQ9KFR3Y6qXtMdTkga8nilmPDE5zMWl+D7DYS+bdu2qZgBiJPw8MMPK1dv/j6/I4UHnxUDBgxQzWOCGt8fYy3BDZJ2bQWLF7wvMaWdwO7du5Xoh+/4WAGMhIVR+O7ORAIkQAIk4B0CFD288yw5EhIgAXcScL2lx4kTJxL5iUUQ45TSCy+8oCbF16xZI/BVCzdLEDHgr1gn05oAAobTFy1WlSeXYMFh/nA3j1EOdT799NO2Oy1cww+eL774Qvn3xTkEEAQCxKpInTZu3KgP5cEHHxSIIHqFmL6ByTG4RYErK20Vou+lZo/gh7rfEBNSkzCRocvChZb2iQzxRF8364PAMnr06ETWM/369VOCCYLRYwIbCRPX+FGIcUOkMt2+HDt2TE2iwDWATqjXbA/8IDYFEhxe18G9OwloAQSiB153+D/CZDIsQBAHBBveLxA3BtZW/kREd44+tL22FqcmSXBZ49aEZ4/VtViFhb15bF7De46+l5qxohzceWBvbuY1HOM9V+9h4YEA0XBjCEs2TLjDEgTbW2+9JRUrVlSWf74s9VLTt/Tkxfu8TkUKeVf0qFQ+waf/wYMH9XC5TycBfCfABnFPWzfpPb77QJzG96zkAkynswsBFcfkvnafiglqWKzEaoJ1B3jA2gPfy/73v//FKoo0jxuW6L644fv/2LFj1WdAmitnQRIgARIggagjQNEj6h4JO0QCJBBjBFwvejgnIWBJkFIyV6diQhwrDzGBZIoHpoUFVtXqWB+oG4ICfK4nl+Cj3UxOV1iYgDUn55EXk68QcZAgisBaon///upc/zHd8hQpUkSt+oW4MdeayDWT9p+NCTHEvIALlUglc2LMtMzQ/UHfsNINk3zOhEkRiCFvvvmmfPTRR+o2nhNWicJKxrRAAS8zYeIEAdIhlJgTFbA8oehhkvL+MdymIC4MNvgnh/iB/0EIndjgrkSLH3jdpDbt27cvtUU8lx/iEv4v3ZgQWBzb2bNnXdH9AwcOCDZ8hkRS9DA/BwsViNxnTKgfWsECxVQT+/cFX/SAy6ClS5faYpsW1vQeIps+hgCnRTh9rPdajPN137wXSH7EGDh//rza8D+hj7E3z5EP59g7N339zJkzgg3n+ljv8T/nK+H7Ftx3YoMQCNeBkUpPPvmkHD9+XHLnzu1zsjpS/YpUu4jnAcsXfLfC96pYtHpJD3u89p0J4t7bb7+tFjo57/GcBEiABEjA3QQoerj7+bH3JEAC7ifgetGjWLGEyQj9KJxuqPR1c29aMOA6VtFi0wnWAa1bt9ancuHCBfsYBymtaMYkv7mSC/XBzZNOmBxA0G1nwsQ+tuSS2S/kg/AxatQo5RICgbJMqwbch5UFNkz2Ilh6Sn1HGZ3MH2dOBjqPv73p/guig07mdX0NE86+BA99H3tYxWBlvhamfv31VyV6HD582MxmH2PiGv63EagRAgfOtXCFyUK3JTw3rEbXK9Kxx+SVeY6JLec5rvm6bubTk2TmNWcZ/YUtLdwg4JkbfFjrcxwj6Wt6r+9jb14LZn64f7v22mvV5DEssxAPBq7lIJDA4gqvnUCTKb4FWsbV+TLEJ+k+XImBHWLnYHIUE5p439B7HJvnuO7M528SNEljvKAIQETGhKyv99VwIDJFj8IetvTQLPfvD67osXr1alU1XvfYIAw4P8N127G6h0sscEptnLZg8MLkvnZphu90kfo/C8ZYglkHhA98nwQfih6pIwvr665duyqLbsS7w4Io5++Y1NXI3CRAAiRAAtFMQP+Gxu9tJhIgARIggfATcL3ogRWQsBTQk+FwVQUBw2lZYaKFcICg1/7SvffeKzly5LBvOz+kUvKn/sorr9hlcYAfyphE1gk/FHV/9bVA9rD68DcRC5dWzZs3lylTpqjg6XCJYiaMFxvcE8Bvtr96zDLmMSZjfCVYYcAkH1YXiMehk7laHmP1NzGH51SpUiVdzO8egeZNhtrdlr8V9gg6qgMmoixcZejA726coO7Tp49yKYGJMYhmTKEhALZw34GVlxBFnNZY/lqFYBRLSX+Bd44ZrgPTkyByBSKO6DwpiSipyYf/LYhqegIafdHH+jr2+ljn1+fmXh/7y4PrZv3Oc7wO8TmD913c0wnvZZo9yuPc33urLhPKvfk+f/bsGcs1V/ZQNhfxug8cSF1sq5Q63K5du5SyJHsf33+0izTnHvewaVFb7/E5qo/13ryG1xf+byBI6r157Lxmnut8KV3DazfQtHbtWhWL6ZNPPgm0SNDyjRw5UtWFeBb4DsGUQEC7f9WCELkETgCxBLExkQAJkAAJxAYB/b0d37mYSIAESIAEwk/g35n48LcdtBYhYiDQq06PPvqo/Pe//5XGhnWFvoc9LCLmz5/vV3gwJ++RH3EjzNgQcF0FAcIZ7Bx50Q8IL2Zyfsj98MMP9m3Ui/gUX331lfphb98wDpDn1VdfVYKFcTnJIYQaiBrYsNr6s88+U1YeZkZYP2CDr3is1tMfxGYefQwxSYsnviwqjhw5Ii+++KLKjvgoWL2GSRYkczIM5wjM7ut5FC9eHLdTTHBHZFqMwB0Zki8BAxOvOoaIrrhKlSr6UDZs2GAfu+UAzwo/lH09h2gfAyaAMQmGyVvn3rnS33lfT575KqvzBlIH8ur85h5lMbGMDRPN5uQzBDVYfsDKKKWkLZUCn8pLqcbovL9j1ybVsQwh6h7ej/B+6XzPDFFzUVetdumjLQDQQawGbtq0qRK1b7zxxqjqs/k+f/bcKc+KHufOJwjNh48E19IDgaEhWkFghdWMr9c9PlPx2Q5RA3tYqup9VL0YAuwM3AvOnj1bfe/5448/7FLVq1dXn9tNmjRRFmP6PRvv0TfccIOdL5wHelK/R48e4Ww26tuCEIVEy5eof1TsIAmQAAmQQIQJ6LkWc/FmhLvE5kmABEggpgh4QvSAX2FT9EDQcQgXWK2NoNf4MY3JGayc3b17t5r092dpgYl7uGhxpvr16ytTflyH+wkE2R42bJhtfYC6hw4dKh9++KGzqBJXEGRbr44zXWndfvvtyswdgTJ79uypgtTiByVilWCyCzE8EEMEEx2pSdWqVVOWAb1791Z9gv9lM8EVDdw9QUzx9yEMQUKLHr5cQv35559mlYlWJJuTYciEMWvRo2jRonZgeLipgnjiS0DSlcM9l3MFOSxbYO2hXVbpvA0aNFAc9bnem5YtiHeCCRV/49Zlom2vhZ5o65cb+4NJNx3YHK8/M+F1iok37OEaLZCEyZ/cufIGktXVeTZvXaP6nyFjqGQPV+NJdefx2sN787hx4xKJsbB+a9iwoXrvx3tatCbzff7MmdOSJ3e09jR9/TpwYKeqAAsggpmwQCEW0ubNm9ViECzw+O233+wh16xZU7kSRbBy8zPazhDhA3wH2rVrl0Sb2BhJLBDpTAuYSPaFbZMACZAACZBAtBPQoodeGBrt/WX/SIAESMBrBDwhehQuXFi5bHIKDpjYxJaahB/nvpIO3qjvYcIUE6NwzwTXNrDucE7A67zYww0UBAhMtpv5cK7T5ZdfroLSpjYwLdw+wHLl5ptvls6dOyeazIeLJ/iiRrB2iDLfffedbk65u4LYAMHFV4I4oRMsNbBiH+5UkOCeQgcWxzkmLLD6VCeMxUw6QDuudevWTQVtxDFYQGhCLBMIPLoOiCw///yzslRxBih/6623lEusrVu3oopECSKO7qN5w7T0wHUERoVvZabYIYAA9vi/xYYYHmZKi9Bhlsdx0SLFZeclSwjnPS+cHzl6QPbu366GUqJEYBZaXhh3sMewZcsWmTp1qvpswmtSJ8QsgMANsaN27dr6clTvzZgeZ8+eiuq+pqdz+w/uUsUrV/rXYjA99cVCWSwEwescGz7LdcKiklatWimxo27duvpyVO4hSg0ePFi5DMV3QCaRQYMGKReQCOweK6IdnzsJkAAJkAAJpJWAFj3cttgyreNlORIgARKINgKeED0A9cknn1QrZVMrcjgfCHz4w5US4mOYCZPm+NGLH3w6wVrEn8UIBAH0SQclhVXIgw8+qNxXmK6ysMr3ueeesyf7dd2p2WPVHaxbfvnlF7ViGEHSnZP8ECXQd8Qr6du3r2zcuFE1ASHkoYceUu67nG2aFi8YB1xwIXYHJow//fRTmTt3rl0E9ZoJwoMZa8W05Ljtttts0QNlYE3SsWNHVdy0AjHr08cQR2Adg+T0C37//ffbcTx0fr3HiuQKFSrY48aKU4oemo5394jPMWPGDPU/rV2V6NFilTGswfC/jtdGehNWBW/YtE5279kqxYqWSW91UVd+w6Z/XdFUqpx+XlE3wBB2CK9DvOfg8wkCtU5wwwfBDWKH0yWfzhPNe6yAv+yyXNbn3Ak5e+50NHc1XX3bfzDB0uOqqyl6pAQSrjW12IHXvU6w5tBiBybM3ZAwqY/4YBA+ELA71uN64DNUW3m8/PLLUe/eChbWENzgHs3twcLhenPHjh0+/23w/dYt/1M+B8CLJEACJOBhAlr08OXC1MPD5tBIgARIIGoIeEb0gHo+fPhwmThxonKFpMWG5EhjohNBveG+AL61dXrmmWfUhLjzRxKCSUM8gMWGv1S1alVlWQGrBVgr6JgX6A9+sKD8ddddpwQK1IHr+PEI6wX9oeivbn/XzcDWcCOFiQW4RGnTpo1y6wXXOxAIYFWB+1rw0PUhdgH65Uw6ELi+jjgm2JwJQgWEDGe69tprbVHIFFDgvxzPCu68nAnija/UokULJRpholonuP+C26vXX39diTYQb5JLaA/PFsn0mZ9cGd5zJwFMLk+bNk1tOug9RgIXYRA6sJmvpWCMsmSpkqqaPzf97knRY8v29Tam8uXL28c88E0ArqvwOtRiB2ITIIXyNei7J6G92qxpc5n8w/dy5qyHRY9L7q0qVqTY5+/VhO8WWOyBRSM6wU0bYq7hO4lzIYbOE817xGrC9zNYw2IrWbKkEj+iuc+h6hsELCwsQerSpUvUW3mcOXNGuSXTvwXg1jRQd5WhYpieeiHgQBz3lbAYCK58mUiABEiABKKPgJ7foegRfc+GPSIBEogNAp4RPfC48KEC11CY0ERAWEw4IT4GfvTAugKroTBRjkknuBBBnA7tCgkBseGCCgniwN13360ElFy5cqlr+g9iScBCAJYb2qUVLBrg6goiA9yS6A831AF3TWPGjFF9KF26tKoGE++wytBp7NixKogpflSnZPr4zz//CNw6oY8QKtB2r169lHsoXR/2qN9sw7znPHa6otL3ITSkZHkBrlgJiSCrzoTxT5kyRV12TjBjdT1+hH755ZfKYsQpxKAQ2sbzxI85TDb4Shg7nicmYU3/8r7ywkpl0qRJAndZcAXG5C0CCHSPFcYQOxAsVyeIbHgtY8P/aahSnTq1ZPQXI2Xj5pXStEGnUDUTsXq37fg3ho+bJ4/CBRCrxPX7GkRfvOdhC+VrMFxjM9tp0qSREj1WrJonVavUNm955lhbevhaHOCZQaZxIHCZibhb2oIJ8ccgdGDzgmUE/o9h4QCrXCzuwPc1WH3EUkIcDwge2EO8ghAU7QkLW7Tggb4ifhw/t6L9qQWnf3Dpq78Dwu2xr98nwWmJtZAACZBAygT0vBBFj5RZMQcJkAAJhIJABssCID4UFbutTsTWQEB002VT06ZNlRunlISItIwVFhNffPFFoqKYUIHlQq1ateyg5+gXfMAvWLBAiTimkAGrEkzyIk2fPl1ZmOhJtkQVJ3OS0gqxyZMn+7RsgdgBN1OIFZKc2IDVaXv37lUxOJLphhw9elQFb8d4ESMF1imI1RLshNXWcBOQ2sDwwe4H6wseAW3RgT2erU5a6MA+b97QBxnHa7dSpcpSpmRleefV73U3PLHff2CXPPZ8KzlrrebPni2HrF23JkWB1hMDT8cgMEGK90a8/uDax6vuR3bv3q1WVBcpVEqGvftTOohFb9FHn2kuu/ZsEcRgMeOYRG+Pw9MzWMrq7yCw6kBMMSz+8LdIITy9Ck0rcFcK4QPfTV566aWot3QIJgUsLvnxxx8FLhzhLhIMoj3h8xgLm7T18G+//eZqF1cYj/n9HouG8P0dKaXv8dH+rILdv7vuuste9AX3uTlz5gx2E6yPBEiABAImALfjcAsOd7ajRo0KuBwzkgAJkAAJBIeApyw90oMEwsYHH3ygYkvoHxaw5MCPelwPtjqPOB5wK4WgyjphpTqEFyRMlkFY8BczBHkQKFQnrKrE5Bp+kOKD1QyQq/PoPerFCky4g4KVRHIJli0QCuDHGeJLvXr1FCNM4gUiHGCyOZAJZ1ib+LM4Sa5/qb2H5xjsZ5naPjB/cAhgBR8sd/78818LhOrVq6v/A7hTcbpnC06r/mvBe0jL5u1l6vQJ/jO59M6CJdOU4IHuX1muPAWPAJ4jVoTHQoIbyBtq1ZUlSxfKocP75Ir8wRerI8lx/YZlSvBo27YtBQ/HgwATWJ0iXpnXLJgcQ1WLSuDuCvE9YJWLFAuBvDFWCB6w8IBbUjcIHng2+DzGIqbly5cLFggF8j0U5aI1YTymizj9OyVa+8t+kQAJkAAJJBDQXkWyZs1KJCRAAiRAAhEgQNHDgA5XVrC+0D/kcQs/9mDNgAlW/OgIVoLw8PHHH8uQIUPUj2hnvZhIwOYvQRQZOHBgotuwkEDfsWHFO1a4wRUWVohhlTFEBfxgRVn9AZyoAj8nWL2JjYkEooXAoEGD7P8bxMjBBsssiHKRTM2bN1Wix7RZX0ib5t0i2ZWgtr1w6XS7viZNGtrHPCABEKhXv7YSPWb+/I107dzHU1B+mp8gYmIBAFNiAvr7RuKr3j174oknlGsrWH1ADMAqclh9eDVhjOPHj1eT7ePGjXON4KGfBxbmpPc7Ab6HwzVJai284FoL7mjh2jCQ79uwisZ3dXw/D0dCW3DrW7BgwZAtBMLvEDgTwPgDYZDcuNHfgwcPqv7itw4TCZAACbiFAN1bueVJsZ8kQAJeJRC8WXyPEEIcCazQRbBy/KBFgvABF01Y5RfMhB8B+BGNVemwpMCPyuRStWrV1GrKGjVqqB9yyVks4EcB+hvsPifXP94jgXARuPfee9Xk07XXXqtiv4Sr3ZTaualFI8mTO59Mm/2lZ0SP5X/MlU1/r1JDx3tWx44dU8LA+zFGAHGXvhj9tYyb9L60a3mv5M4Vendy4UAcF3dRFiydJhUqVFCf0+Fok21ENwFYycJ9V9++fVU8MwT4fvfdd10nCCRHGbE7BgwY4DrBAxZHS5Ys8Tk0uGHD93tnevrpp2XOnDmJLqMOuI/CPb34CGIEBC79+YffCW+99Vaicohvh4VFEMVMa2tYVeOa8zv7kSNH5I033lDt63awIApWU2grFC5eYQ2ORVwrV660+473twceeCCJ5dI777wj33zzjcoHl7ydOiWNVYbfRnBph4SYiRMm/Gvpinbwv6ETGCK+H9yOIcYeYh76ShCY8X+FhSywtkcdsNrRMVrQD/DJly+fXRyxHA8fPqzONUucoC1nwm8oPCsmEiABEggHAS16BHPxbDj6zTZIgARIwCsEKHr4eJL4AYAfSAjQiQ2BkEO5+gom6/hx8eyzzypXPdu2bVNWGvhwhOsQBEBHn8wv+D66zUskEDMEYLUUjUFyYVHVrEkr+X7yNwKxoGb1xq5/Jgst11Y6tWvbMUWXeDov97FDAKuZW7ZoLV9987l8Oe4deajHa54Y/LwFk+T06ZNJJgM9MTgOIs0EEMgci1QwcYtFMTt27FBuRb2wyASTzQhajkDQ+G7qJgsPiAjmhLf5gOPi4sxT+xgWFs4yED169Ohh58EB8jz++OOC2HtYbHHmzJkk5TZt2qQsuJ2up4YNG6Z+R/Ts2dOuE4uq7rzzziR1YGJ/ypQp8vPPPyvR6eqrr7bLpPcAQoEvf/LoL6x6Fi9enEikaNCggbz//vuqWfwW8iV6QDDS/Jz34cLXTMgHl77YYOUOgQRCiTPBAgV5N2zYoNzK6bhBOh/6gnuIOaitPhBbSosiOh/2um/mNcQQZCIBEiCBcBHQogfdW4WLONshARIggcQEKHok5mGf4Ys0/DWH02czhBWY4qfXHN8eBA9IgATCTuDNt19WosfIr19zveiBAOYLDNdWXW6hlUfYX1AuafCubl1l/LdjZObcMdKuxT1SskQFl/TcfzfnL/pO3YxGgdV/r3knHASwoh+CAFbwYxIXcdUQT61OnTrhaD4kbUDouO222wSWHm4TPACke/fu6jloOHDNtWbNGn3qcw9xo2HDhsryQVtbaysAWGhgUn706NF2PcgD0QNlXn/9dTlw4IDtahNWFBAQ4PYN1hoQLvSEPcQGU/SA5YSekAfrLl26KBdQENEWLVqkJvBhbROs2FALFixIJHjAWrZ8+fJqgZUWNsAL/dCv4Vq1aqkFX+jnL7/8ovrrXAA2ffq/ri/btWuXiDFEE1irnDt3To0H4qCOY4g6ISJBwPC3+hnWKNhgxVG7dm0lysyePVu1gec6a9Ys2wIPC8cgeiHB9a9m+/LLL4tzohEL2ZhIgARIIFwEtOjh770uXP1gOyRAAiQQqwQoesTqk+e4SYAEQkIALhtefem/8vKAZ+WbCYNdHeMAMRrOnj2tONW+oa40atQoJMxYqfsJXHV1ZenU4W4Z8+0nMmXmKNdbe3w/9VP5Y/UiadGihZQpU8b9D4gjCDoBCB8QOiB8fPvtt0owgCuecC6WCdag3C54gAOEJzNhwjwl0QMT/Ni0iIXymFg3nyNEDrihRUKcPCSIIdgQOw/B7ZFQDs8eE/CY5IKAoN0ybd++XcXswKTX/PnzZdmyZaoM3NbC4kG7voJw8+ijjyqxBOLHqlWrlMiiMqfjD/qkE16zeF/TCe6ptIsqU7jD4i+4Lhw6dKjK+tNPPyV6bUNkgBiCVKpUKcFYzASx2CkYwxoDYhLch+H5/PHHH3L99debxRIdw+3W888/r6716tVLPRfdn7Vr19rPBUKTThCfdL9uv/12yZkzp77FPQmQAAmEnYAWPfT7fNg7wAZJgARIIMYJZIzx8XP4JEACJBB0Ah07t5YihUvIDz9+Jjt2bgx6/eGo8O+ta2XyjJF2U11u+Y99zAMS8EWg1wM95Ip8hZW1x+p1v/nK4oprW7etl++mDpNs2bLJI4884oo+s5ORI/C///1PTXCjB3AThM1NCSv83WzhEWzWsGYwXTXBvSzcWmFiH+JIcgkxKPQEF/YQYlAO5c+ePauKYrJfp27dutmCB64hbpb5nqNFFp0/LXsEAdcxRhDXpFmzZomqgQstLU7AbZSZbr75ZvsUbrfMBEFHJwg8etz6mq89YpY89thj9i2nKzD7xqWD++67L9El3U9chOUIEwmQAAm4hQBFD7c8KfaTBEjAawRo6eG1J8rxkAAJRJwAYo688sqL8uBDD8j4yR9I34cTVoJGvGOp6AAEj/MXzqkSzZq2UP7rU1GcWWOQQLmKReWWzvfIR8Pflq++HSQDnqspWbNkdR2JcT+8JydOHFcr+KtXr+66/rPD4ScA4QMJFh8QEXScj5QmycPf08QtwsIDbpTc6tIq8WiCcwahQseKQI2wzoCrqpSSFjfMfPp1YV5D3D6dYPmA14uZTp06ZZ+aee2LqTzYtWuXXQKCDlxKOZNu07RIQZ5KlSopV2eIQQKRA/Ew8P0GKTnXVrgPsQXWL7C6QKwYxPjImzdvohiJsJRJLjmDuSN+lE7nz5/Xh9yTAAmQQNQS0IIwRY+ofUTsGAmQgMcJUPTw+APm8EiABCJDoHWbVpYriNusCY2xkjtXPrn/7pcj05E0tLr09zkyb+EkVTJ37jzyf6+9koZaWCQWCTz8SA+ZMXOS/LXpd/n624HSveuzrsIwefpI+W3JLOVyxVxx7apBsLMRIYAJbgQzh7sjuCaC9QSuIfB5NCYvuLQKBVfnRHugbRQrViygrAjUrRNiTiSXEDA9vengwYN2FXD3lZIlEixSTN/zcBGl+wkXV7CCgViD+CNIVatWlXLlytlt4ODEiRMCK5G///470fXUnDjjh6SmLPOSAAmQQLQQgAUfkvm+Gi19Yz9IgARIIBYIUPSIhafMMZIACUSEwLvvvi1LliyWabO/kDy588tt/+kdkX6kttFJhlur/v1fkOLFi6e2CuaPUQJ58+eQHt0flpcGPC6Tpg+XyuVrSJ1aLV1B4+8ta2XU2P+qvsKvvrna2xUDYCcjTuCJJ55QwgcmlrWogGDU0SZ86L7RwiPpSyZfvnxJLwZwJdBJelMcQRBzZ6Bts6nSpUubp2k6LlKkiF0O7qUQwDy5lD179kS3YfmiRY8ffvhBiR6//vqrnadz5872sT54++23bcEDFjCI21GxYkW5ePGiwGrE6SpLl+OeBEiABLxGQFt6JPde77UxczwkQAIkEE0EKHpE09NgX0iABDxHYNKkiQIXOWO+H6LGFu3Cx4QfPpa1fy5WfW3Xrp1glScTCaSGwD33dZQD+w7K0I//T94a+oiMfO83yXd5wdRUEfa8O3ZukqEjnpS4uDiBX/4mTZqEvQ9s0BsEdCBzCB8QFWDxgcDYZjyCSI6Ugkfy9NO6GjfQcqZVBESytLwuTGHi8OHDyQ7IFD0guEyaNCmg+Bu6Uli+NG7cWLm3gqXHsWPHBMHCddJB0PU53GmNGjVKnSKWyaxZsxKtcEZ8kVCKHjly5NBdkUOHDjGQuU2DByRAApEgoC096N4qEvTZJgmQAAlYMfMIgQRIgARIIHQEsGp08uTJqgEIH2O/Hxq6xtJZ89xfJ8qX499RtVye93L54IMP0lkji8cqgaee7yl33pIQsPbJlzpENQYIHu9++Khs3b5JHnzwQXnmmWeiur/sXPQTgPABoQMJwkevXr2SxG6IxCjQl/vvv58xPCIB/1KbNWrUsFt/7rnnJC3BygsW/FdE1kHK7UodB7BYa9CggbqKwOGwwoiPj3fkSv7UtOaA4KFdW9WtW1dMUQW1QGjQqXbt2okED1z3FVNE5w/GvmzZsnY1EFyYSIAESCCSBLTVMC09IvkU2DYJkEAsE6ClRyw/fY6dBEggLASqVasm8KXdtk07ZfGxYfMf8uJTI8LSdqCNrF73m3w48nmVvVSp0lbw0fmBFmU+EvBJ4I13n5QLVqzZsRPfk24P1VSv+YrloisweILg0Vu2W8JHnz59BCuvmUggGARMiw/Up2Mp6OvBaCM1dWirEwSVzp07t4wbN06iPdB6oOND7Ii//vorUXYE5dYJFgoFChRQp9myZZOmTZvKP//8I9pN0x9//KGzyqpVq+xg3bDKgFsmZ0KAbgTSNq0sYOGgg3tjsUOdOnWcxdQ5XD116NBBWVxAIGjUqJHcc889UrNmTYH7KaTdu3erZ/Sf//xHnTv/wGWUTugLXls33nijslRbvXq1CkB+55136izy4osvSosWLdT5hx9+qAKzd+3aVTHBa+HIkSOyZcsWQRlTUNEVNGvWTB/Kq6++qmJ64ALieziT6ZLrm2++UeOC0HPgwAE1ZlzTacGCBaoP11xzjZhikL6flj1ijOiEvuK1Aba5cuVSgdj37t2rrPn0RKTOyz0JkAAJhIKAtgKk6BEKuqyTBEiABFImkMFa7ZO65T4p18kcJEACJEACfgi0btVG1q1fK6VKVJRnHxsmRYuk32e3n6YCvrxj50Z5fdD9su/ATmnevKUMH/5JwGWZkQRSIvDf1z6UYZ++pbLVr91W+jz4PyteRuTXXKxZv0iGf/mKbNtBwSOlZ8j7aScwfvx4W/BALbAAiYTwATdbCLCuBY9oizOSdsIin376qbz22msBV7F582Y1Gd68efNky/Tt21cef/zxJHnADsG8/aUbbrghWcseiB0QGBDfwl+CODJhwgR/t9VrCq8tX6lt27YCccNMo0ePVuKHec15/NVXX0n9+vWdl9U5hBVnexCI8ubNmyR/7969bQtX501YncAF1cyZM+1bcKWpLUshFu3Zs0cQI+X333+38+Bg3759ArZIZhl14dIfxA2BZUpyFjCLFy9OYqFi1sFjEiABEggWAf359NZbb9FlcLCgsh4SIAESSAUBurdKBSxmJQESIIH0Epg+Y5r07Hm/tbJ8gzz32q2y9Pef0ltluspD8Hjng95K8Ljttq4UPNJFk4V9EXi2/8MyZGCCZdOvi6fKA30byZx53/rKGpZr58+fk6/GD5QX37xLCR5w90MLj7Cgj8lGTFdXAOBr8jjUYNBmIIJHWlwthbrvgdQfKl/peoWusw9mTA3nPZzDmiS5hAl9xLWAUGNabZhlYDmSXIL1hj9LEDOuha7j7rvvVnE5EENEW5Toe3oPawx/qWPHjoluoR5fggcyvfnmm3Lfffclyo82YeGCe7C6SG/yt2oaFhwjR46Uu+66y+84Ye3BRAIkQALhIKA/R0L1ORWOMbANEiABEnAzAVp6uPnpse8kQAKuJTB27Fjp16+f6n/7Vj3k5pY9pMAVRcI2nnPnzsqUmaNk2uzRcujwXuUaY8yYMWFrnw3FHoGfZy+U7vd1tQde/ZqG0qTef6Rh3Zvta6E+WP7HXBk36X2Bizkk54R0qNtn/bFLAKJDz549lVslUAiXxQdc/GASODkLjw0bNsjUqVNl8ODBgkDn/ibFY/fphXbkcJUFkQPWI5gggyuu/PnzBxRw/PTp08od1rlz55SYgBgbgUyuwdpk//79yiUWnnfRokVTFGtSSwF9gquus2fPSvny5S0Lv0yqCgRDv3DhgmoPfYWAkSFDhtRWn2J+WH3s2LFDwCguLk5ZmCAwO1/fKaJjBhIggSAR+OKLL6R///4ydOhQad++fZBqZTUkQAIkQAKBEqDoESgp5iMBEiCBIBOAn/GnnnraCvx5UArkL6KEj/atewS5laTVzZo7TqbNGi1bd/ypbmJSrHv37kkz8goJBJkAXI480OtB2bf/35W25cpeo8SPJg06S84cCT7tg9ys7N23Q6bP/kIm/zjSrhorn//v//7PPucBCYSaAASFW2+9VQkfiKcB8TuUbqa0a63kBI9ly5Ypd0Dm2PHZhHgWTCRAAiRAAiRAAmkn8PXXX8tzzz0nn3zyicBCjokESIAESCC8BCh6hJc3WyMBEiCBRAQQdBQrfufOnauuF7NifNS4ppFcd21jua5aw0R503uyaOlMmTp7lKxZv1hVVbJkSbWyF77DmUggXAQw8fv000/LmjVrEjVZuGAJaVK/s1x79Y1SpWL6X5OnTp+QJctny5IVs+W3pTPstrCK+tlnn41IXAW7EzyIWQJO4QPBr0uUKBF0HoEIHrpRrEDF55CZEHC6bt265iUekwAJkAAJkAAJpILAuHHj1Hfezz77TJo2bZqKksxKAiRAAiQQDAIUPYJBkXWQAAmQQDoJTJw4UT7//PNEwTfz5Monta67SW6oYW01m6W6hQsXL8jqtQtl7YbfZPW6hbJh01q7jlatWqlV7oUKFbKv8YAEwkUA7lyGDx8uI0aMEF9+5CGA1LDcX2G79uq6kj17zoC6tmfvNtmybZ0sWDpNFi6ZnqQMfnBC8KhUqVKSe7xAAuEiYAofCNwMi49gJlPwmDFjRkCiypdffikvvPBCom4gGDaCYjORAAmQAAmQAAmknsCECROkb9++gs/YBg0apL4CliABEiABEkgXAYoe6cLHwiRAAiQQXAIQPrAayFdAWUwEFypYSoqofUkpXLCk5M2TX86cPS1nzpyy9qfk3PlTcjHulPxlxSxYuvxXy2/2ebuDCJ4Kf7LYrrvuOvs6D0ggUgR27typxA+85pNLVSvXVsJH9mw5RW2WCIL96TMnZc++bda2Ve391VGlShXlVoABy/0R4vVwEzCFjz59+kiwXpum4IEVpqlxn4Xg2o888kgiFK+//roKCp3oIk9IgARIgARIgARSJDBp0iR57LHH1OIGLHJgIgESIAESCC8Bih7h5c3WSIAESCBFAkePHlVWH3B5hRgI6U0QOLTYAeGDiQSijcDy5cuV+DFt2rSgdQ1xDFq3bq3Ejptuuilo9bIiEggWAVP4CEZg8wEDBijrKYh8AwcOTJXgoce0YMECueOOO/Sp2j/11FPSu3fvRNd4QgIkQAIkQAIkkDwBvZgAsT3q1auXfGbeJQESIAESCDoBih5BR8oKSYAESCB4BNavXy+zZs0SBJYNVAApX768XH311WrCC6t8GzYMbmyQ4I2ONZFAYgKYBP7tt99k8eLFan/8+PHEGVI4w2Qvtho1aiixo3DhwimU4G0SiCwBU/h4+eWXpUePHmnqEIQJWHng9Q8LDwRKT2tau3attGnTJlHxYFqjJKqYJyRAAiRAAiTgUQJwMfnAAw/IF198wd9jHn3GHBYJkEB0E6DoEd3Ph70jARIgAZvA/v375a+//pLTp0+r7cyZM3Lq1Cl1nCVLFiV0QOzImzevXYYHJOBmAkuWLJGFCxfar3O85vXrH6/9kiVL2uIeBL5cuXK5ebjse4wSMIWPW265JUlQ8ZSwaMED1k2pdWnlr+7du3fLjTfemOg2hY9EOHhCAiRAAiRAAskSwMK1nj17yujRo6VRo0bJ5uVNEiABEiCB4BPIHPwqWSMJkAAJkEAoCCDoOAOPh4Is64xWAjfccINgYyIBLxOAYAexAsFOYa2xY8cO+fTTTwOy1tCCB/gMHz48TS6tfLEtVqyYwNIQliM6DR48WB0GK/6Irpd7EiABEiABEvAigcyZE6bbLl686MXhcUwkQAIkEPUEMkZ9D9lBEiABEiABEiABEiABEvAwAS18QGRYtGiR3HbbbQILEH8Jrt8QswYiCRJiggQ7SGrOnDll27ZtiawHIXwMGjTIX7d4nQRIgARIgARI4BKBTJkyqSOKHnxJkAAJkEBkCFD0iAx3tkoCJEACJEACJEACJEACNgHE4YDFB4QPCB4QPrSoYWeyDnbu3JlIFAlGEHSzfufxqlWrpHTp0vZlCh82Ch6QAAmQAAmQgF8C2tIjLi7Obx7eIAESIAESCB0Bih6hY8uaSYAESIAESIAESIAESCBgAlr4gNUGrDngvqpXr15K6EAlP/74o7Lw0FYgoRY8dMfnz58v1atX16dC4cNGwQMSIAESIAESSJYARY9k8fAmCZAACYSMAEWPkKFlxSRAAiRAAiRAAiRAAiSQOgIQPsaOHSs9evRQBSF01KtXT4kdEEAghiBo+SeffCIIfB6uNGnSpESBWCl8hIs82yEBEiABEnAjgfPnz6tu072VG58e+0wCJOAFAhQ9vPAUOQYSIAESIAESIAESIAFPEXj55ZeV+KGDiWvrjhYtWsiMGTOkZcuWYR/v6NGjpWPHjna7FD5sFDwgARIgARIggUQELly4oM5p6ZEIC09IgARIIGwEMoetJTZEAiRAAiRAAiRAAiRAAiQQMAG4uYLAgTgesABB0vuAKwlyxiFDhsjll18un3/+uaoZwgfSE088ofb8QwIkQAIkQAIkIELRg68CEiABEogsAYoekeXP1kmABEiABEiABEiABEggWQIlSpRI9n64b7766quSL18+GTRokGqawke4nwDbIwESIAESiHYCFD2i/QmxfyRAAl4nQPdWXn/CHB8JkAAJkAAJkAAJkAAJBJlAnz59ZMCAAXatdHVlo+ABCZAACZAACdiWHozpwRcDCZAACUSGAEWPyHBnqyRAAiRAAiRAAiRAAiTgagL33HOPvPfee/YYKHzYKHhAAiRAAiQQ4wRo6RHjLwAOnwRIIOIEKHpE/BGwAyRAAiRAAiRAAiRAAiTgTgIdOnQQBDjXicKHJsE9CZAACZBALBOg6BHLT59jJwESiAYCFD2i4SmwDyRAAiRAAiRAAiRAAiTgUgKNGjWSyZMn272n8GGj4AEJkAAJkECMEjh//rwaOd1bxegLgMMmARKIOAGKHhF/BOwACZAACZAACZAACZAACbibQLVq1eSXX36xB0Hhw0bBAxIgARIggRgkQEuPGHzoHDIJkEBUEaDoEVWPg50hARIgARIgARIgARIgAXcSKFWqlKxZs8buPIUPGwUPSIAESIAEYowARY8Ye+AcLgmQQNQRoOgRdY+EHSIBEiABEiABEiABEiABdxLInTu3bNu2TS677DI1AAof7nyO7DUJkAAJkED6CGjRg+6t0seRpUmABEggrQQoeqSVHMuRAAmQAAmQAAmQAAmQAAn4JLBu3TopXry4ukfhwyciXiQBEiABEvAwAcb08PDD5dBIgARcQYCihyseEztJAiRAAiRAAiRAAiRAAu4isHDhQqlatarqNIUPdz079pYESIAESCB9BLSlR3x8fPoqYmkSIAESIIE0EaDokSZsLEQCJEACJEACJEACJEACJJASgalTp0r9+vVVNgofKdHifRIgARIgAa8Q0G6t9N4r4+I4SIAESMAtBCh6uOVJsZ8kQAIkQAIkQAIkQAIk4EICX331ldx8882q5xQ+XPgA2WUSIAESIIFUE6B7q1QjYwESIAESCCoBih5BxcnKSIAESIAESIAESIAESIAEnATef/996datm7pM4cNJh+ckQAIkQAJeI0D3Vl57ohwPCZCA2whQ9HDbE2N/SYAESIAESIAESIAESMCFBF577TXp3bu36jmFDxc+QHaZBEiABEggYAJa9KB7q4CRMSMJkAAJBJUARY+g4mRlJEACJEACJEACJEACJEAC/gg89dRT8uKLL6rbFD78UeJ1EiABEiABtxPQokdcXJzbh8L+kwAJkIArCVD0cOVjY6dJgARIgARIgARIgARIwJ0EevbsKQMHDlSdp/DhzmfIXpMACZAACSRPQMf0oOiRPCfeJQESIG9pDswAAEAASURBVIFQEaDoESqyrJcESIAESIAESIAESIAESMAngc6dO8tnn32m7lH48ImIF0mABEiABFxMQFt60L2Vix8iu04CJOBqAhQ9XP342HkSIAESIAESIAESIAEScCeBpk2bypQpU1TnKXy48xmy1yRAAiRAAr4JaNGDlh6++fAqCZAACYSaAEWPUBNm/SRAAiRAAiRAAiRAAiRAAj4JXHPNNbJgwQJ1j8KHT0S8SAIkQAIk4EICFD1c+NDYZRIgAU8RoOjhqcfJwZAACZAACZAACZAACZCAuwiUKFFCli5dKqVKlRIIH6+//rq7BsDekgAJkAAJkICDgBY96N7KAYanJEACJBAmAhQ9wgSazZAACZAACZAACZAACZAACfgmUKhQIeXqqn79+vLJJ5/IM8884zsjr5IACZAACZCACwho0YPurVzwsNhFEiABTxKg6OHJx8pBkQAJkAAJkAAJkAAJkIC7COTNm1dGjBghLVq0kDFjxsjDDz8s586dc9cg2FsSIAESIAESsAhQ9ODLgARIgAQiS4CiR2T5s3USIAESIAESIAESIAESIIFLBLJnzy4ff/yxtGnTRqZOnSo9e/aUw4cPkw8JkAAJkAAJuIrA+fPnVX/p3spVj42dJQES8BABih4eepgcCgmQAAmQAAmQAAmQAAm4nUDGjBll2LBh0rJlS5k3b54SPrZv3x7QsCCU3H777QHlZSYSIAESIAESCBUBWnqEiizrJQESIIHACFD0CIwTc5EACZAACZAACZAACZAACYSRAGJ7wNXV8uXLlfCxbt26FFvfsGGD/Pbbb/Ldd9+lmJcZSIAESIAESCBUBLToQUuPUBFmvSRAAiSQPAGKHsnz4V0SIAESIAESIAESIAESIIEIEfj000+lWbNm8tdffynhY8mSJcn25O6771b3v//++2Tz8SYJkAAJkAAJhJKAFj0YyDyUlFk3CZAACfgnQNHDPxveIQESIAESIAESIAESIAESiDCBkSNHSuPGjWXXrl1K+Pjpp5/89uiKK64QCB/z58+XuXPn+s3HGyRAAiRAAiQQSgI6pgdFj1BSZt0kQAIk4J8ARQ//bHiHBEiABEiABEiABEiABEggCgiMGjVKGjZsKMeOHVPCx+TJk/32qlOnTurehAkT/ObhDRIgARIgARIIJQFt6UH3VqGkzLpJgARIwD8Bih7+2fAOCZAACZAACZAACZAACZBAlBD44osvpF69eoIJpN69e8vXX3/ts2c1atSQ9u3bC4SRFStW+MzDiyRAAiRAAiQQSgJa7IiPjw9lM6ybBEiABEjADwGKHn7A8DIJkAAJkAAJkAAJkAAJkEB0EYDQceONN6pOPffcc4Jg575S586d1eVx48b5us1rJEACJEACJBBSAtq9lRY/QtoYKycBEiABEkhCgKJHEiS8QAIkQAIkQAIkQAIkQAIkEK0ExowZI7Vr11bde/3112XgwIFJuooYIPXr1/drDZKkAC+QAAmQAAmQQBAJ0L1VEGGyKhIgARJIAwGKHmmAxiIkQAIkQAIkQAIkQAIkQAKRIwALjuuvv151YMiQITJgwIAknenYsaO6NmjQoCT3eIEESIAESIAEQklAix50bxVKyqybBEiABPwToOjhnw3vkAAJkAAJkAAJkAAJkAAJRCkBBCpH/A6kESNGSL9+/RL1FKJHuXLllLXHvn37Et3jCQmQAAmQAAmEkoAWPejeKpSUWTcJkAAJ+CdA0cM/G94hARIgARIgARIgARIgARKIYgITJ06UatWqqR6OHTtWHn74Ybu3WbJkEQgf+/fvp5srmwoPSIAESIAEwkGAMT3CQZltkAAJkIB/AhQ9/LPhHRIgARIgARIgARIgARIggSgnMHnyZLn22mtVL6dOnSp333233WOIHjlz5qS1h02EByRAAiRAAuEgoC096N4qHLTZBgmQAAkkJUDRIykTXiEBEiABEiABEiABEiABEogCAhAx5s+fn2JPfvjhB9vV1bx586RTp06qTKlSpWjtkSI9ZiABEiABEgg2AS160L1VsMmyPhIgARIIjABFj8A4MRcJkAAJkAAJkAAJkAAJkECYCYwePVq6desmXbp0SdFFFVxd1apVS/Vw+fLl0qJFC3WsA5p//fXXsnfv3jCPgM2RAAmQAAnEIgGKHrH41DlmEiCBaCKQ6RUrRVOH2BcSIAESIAESIAESIAESIAESAAHE6zh79qzMmjVL5syZozZcv/rqqyVDhgw4TJRuvfVWWbx4sezcuVMOHTok48ePlxdeeEFWr14ta9eulezZs0u9evUSleEJCZAACZAACQSbQOHChVVMqaxZsyrhPtj1sz4SIAESIIHkCWSw/AvGJ5+Fd0mABEiABEiABEiABEiABEggcgQWLVoko0aNkmnTpqlOVKlSRW677Ta1IWaHM91///0yc+ZMdTlv3rzSr18/JX7kzp1bEAPkyiuvdBbhOQmQAAmQAAkEncCJEyckV65cQa+XFZIACZAACSRPgJYeyfPhXRIgARIgARIgARIgARIggQgTKFGihLRr104FLD958qQsWbJE5s6dK9OnT5fTp09LuXLlJEeOHHYv27dvL9u3b5f169crSxHE+ahcubLs2rVLMmbMKI0bN7bz8oAESIAESIAEQkUAlh5MJEACJEAC4SdAS4/wM2eLJEACJEACJEACJEACJEAC6SAAV1eI0TF79mxVS7FixQSurTp37iwIXq7Tiy++KIgLYqZMmTIpa4+qVaual3lMAiRAAiRAAiRAAiRAAiTgEQK09PDIg+QwSIAESIAESIAESIAESCBWCMA9VYcOHWzLj5UrVwpcYI0bN04FK8+XL58ULVpUmjZtKufPn5elS5faaODdFwFmdaBz+wYPSIAESIAESIAESIAESIAEPEGAlh6eeIwcBAmQAAmQAAmQAAmQAAnELoHly5eroOUTJ05U7q5AAu6wYPkB4ePNN9+Ujz76KBGgb775RurWrZvoGk9IgARIgARIgARIgARIgATcT4Cih/ufIUdAAiRAAiRAAiRAAiRAAiRwiQBcX40dO1Z+/PFHdaVmzZrKKuT3338XiCI6wb3V1KlT9Sn3JEACJEACJEACJEACJEACHiFA0cMjD5LDIAESIAESIAESIAESIAES+JfA4sWL5fvvv1dCB4KdFypUSHLmzClbt261M3Xv3l1effVV+5wHJEACJEACJEACJEACJEAC7idA0cP9z5AjIAESIAESIAESIAESIAES8EPgyJEj8vnnnyvxwxQ8dPY+ffrIE088oU+5JwESIAESIAESIAESIAEScDmBjC7vP7tPAiRAAiRAAiRAAiRAAiRAAn4JIKg5RI158+bJiBEjpEGDBony+hJCEmXgCQmQAAmQAAmQAAmQAAmQgKsI0NLDVY+LnSUBEiABEiABEiABEiABEkgvgd27d8t//vMfOXDggPz999/prY7lSYAESIAESIAESIAESIAEoogARY8oehjsCgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQNoJ0L1V2tmxJAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQBQRoOgRRQ+DXSEBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEkg7AYoeaWfHkiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAlFEgKJHFD0MdoUESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESCDtBCh6pJ0dS5IACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACUQRAYoeUfQw2BUSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIIG0E6DokXZ2LEkCJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJBBFBDJHUV/YFRIgARIgARIgARIgARIgARJwNYELFy7Ixo0b1RiyZs0q5cqV8zueixcvyoYNG9T9XLlyScmSJf3m5Q0SIAESIAESIAESIAESIIHACGSIt1JgWZmLBEiABEiABEiABEiABEiABEggOQIQPZo3by5///23yjZv3jwpU6aMzyIzZsyQBx54QN3r1KmTDBo0yGc+XiQBEiABEiABEiABEiABEgicAN1bBc6KOUmABEiABEiABEiABEiABEggWQKZM2eWfv362Xk+/PBD+9g8iIuLk8GDB9uXHnvsMfuYByRAAiRAAiRAAiRAAiRAAmknQNEj7exYkgRIgARIgARIgARIgARIgASSEGjZsqVUqVJFXR87dqzs3LkzSZ6ff/5Z1q9fr6537dpVypYtmyQPL5AACZAACZAACZAACZAACaSeAEWP1DNjCRIgARIgARIgARIgARIgARLwSyBjxoyJrD0++eSTRHnhYXjIkCH2td69e9vHvg7OnDkje/fuFViHpDadPn1ald2zZ4+cPHkytcWZnwRIgARIgARIgARIgARcR4Cih+seGTtMAiRAAiRAAiRAAiRAAiQQ7QSaNGkiNWrUUN0cNWqUEh50n3/55RdZuXKlOr333nulePHi+pa9R2yQoUOHCuqpVKmS1K5dW1mDdO7cWVasWGHncx4cOXJERowYIe3bt5fSpUtL5cqVVdk6derIVVddpa599dVXzmI8JwESIAESIAESIAESIAHPEKDo4ZlHyYGQAAmQAAmQAAmQAAmQAAlEC4EMGTIksvb49NNP7a6ZVh4PPfSQfV0fnDhxQm677TZ599137YDo+t6yZcukY8eOMm7cOH3J3qMcXGUNGDDAFlXsm8ZBvnz5jDMekgAJkAAJkAAJkAAJkIC3CGT21nA4GhIgARIgARIgARIgARIgARKIDgJ169YVbAsXLpThw4fLgw8+KJs3bxYIF0gQPAoXLpyksxBIdJ7LLrtMlcufP7/88ccfMn78eJX/lVdekRYtWsjll19ul0dgdB0nBBdvueUWZemRO3dugcstuMmCJUjVqlXtMjwgARIgARIgARIgARIgAa8RyGD5k4332qA4HhIgARIgARIgARIgARIgARKIBgLLly+XTp06qa48/PDDSriACIIEN1UQM8wEUaJ69er2pSVLliQSRkaPHi0vvviiuo99z5497bxwfaXFEgRQh0srJhIgARIgARIgARIgARKINQJ0bxVrT5zjJQESIAESIAESIAESIAESCBuBmjVrStOmTVV7H374obL6wEnfvn2TCB64vnHjRuxU6tKlSyLBAxfvuOMOgfUH0pYtW9Re/8maNas+lO+++y7JffsmD0iABEiABEiABEiABEjAwwTo3srDD5dDIwESiE0CMOCDH/FoTtrIMNr7Gc0M2TcSIAESIAH3EHjqqafkp59+sjsM0QIBzH2lHTt22JfxOandWdkXrYPs2bPLyZMnk8T7aN26tS2qwNIDW9GiRaVBgwbSuHFjadSokeTKlcusisckQAIkQAIkQAIkQAIk4DkCFD0890g5IBIggVgngAkSLSqYLPwJDOkRSQJpx1ce9Ev3R9/X52afU3Os6zHr9lU+0Hy+yvIaCZAACZAACaSFwNVXXy1t27aVqVOnquKPP/645MmTx2dV+/fvt69D8PAleugMED7MdNddd0mWLFnknXfekUOHDqlbe/bsUUHPdeDz559/Xnr16mV/DpvleUwCJEACJEACJEACJEACXiBA0cMLT5FjIAESIIFkCKRXTEim6jRPmOg+aQFC73Vb+r4+D+Y+0Lp1nwLNH8w+si4SIAESIAHvEahfv74teiQXawOWGTrhuFChQvo0yd6M/YGbCFbetWtXQWyPpUuXyoIFC+TXX3+VlStX2mXfeOMNyZcvn9x66632NR6QAAmQAAmQAAmQAAmQgJcIUPTw0tPkWEiABEjAIoDJ+kAm6vWkPvb6GOWcZfU9wHXeCwQ4yut6dV1676wzpfp1OZ1Pnzv7ges6j/Neas+DWVdq22Z+EiABEiCB2CNQtmxZe9Bt2rSRl156yT4P9ACxPerVq6e2fv36ydGjR2Xo0KEyfPhwVcX06dMpegQKk/lIgARIgARIgARIgARcR4Cih+seGTtMAiRAAskTSMtkf1xcnC1MmLX7ExXMPCkd++uPeR3HgbRllkkpP8WKlJ4M75MACZAACUQjgfLly6tA5XBdNWLECKlbt67cdNNN6erq5ZdfLjfffLMtehw5ciRd9YW68NlT8bJ0+SIZ+v5ggWuwypUry5VXXqm2/Pnzh7p51k8CJEACKRLYt2+frF69Wm2IlZQzZ0713q33BQsWlCJFivh1ZZhiA8xAAiRAAiSQLgIUPdKFj4VJgARIwD0E/IkEcIWBBEHBn/hgig3JjRhtYNN1mnn9iRD++mWWNY9Tm98sm5rjQMecmjqZlwRIgARIgARSIoAg57DueOaZZ1TW++67T4keLVu2lLx580q2bNkEcT/27t0rjz32WKLqhgwZIufOnZPixYvbeU+dOiWbNm2SL7/80s4LISGa0oXzIufPxsuFCyJxFxOsVjdt3CGLFi1Sm9nXJg1bSpt2reTm9q0lR44c5i0ekwAJkEBICfz5558yadIkmTNnjvz1118BtQURBOKH3uC2EMfY586dW9WRnMvDgBphJhIgARIggSQEMliTR/FJrvICCZAACZCAZwgk9zavJ/b95dH3A4Gh68DeFD30dV2HWad5z7yu82Jv5jGvp3Tsrz6znFl3IPnNsjwmARIgARIggdQQ+Prrr+W5555TRSZPnizVqlXzWxwWmE8++aR89913fvPgBibgzIl/TJwhcHly6YorrpCZM2dKgQIFkssWknvWsOSfI/Hyz9E4OXksXs6dtcSOc/GycfNK+X3VPPnnxFE5cfKotT8mp06fkD83Lvfbj8IFi0uTxi2lrSWANGxc228+3iABEiCB9BL46aefZOLEiUrwSG9d/spv27bN3y1eJwESIAESSAMBWnqkARqLkAAJkIBbCJiT+s4+m5P8ODbzmvec5VI691XW1zWzvZTqNO+bfXUem/lSc6z74qufqamHeUmABEiABEggGASweGDQoEEqIPnbb7+dKBC5WT/cq5QpU0Zdunjxohw/fty8negYFiRdunSR7t27h13wOLQ3To4egNgRL3Fx8bJv/05Zs36RrF630BI75ss/ltDhTLkvu1wqXFlNzl84J//8c1iOHT8sFy5aJiGX0r4Du2TM+JFqu65aHalbr47kL5BHucPiqmlNiXsSIIH0EIDQASu5pUuXpqeaFMv26dNHWbUhplPhwoVTzM8MJEACJEACKROgpUfKjJiDBEiABFxLQE/mYwC+JvT1fb1HHl/5ggVAt+OvP77aMcvgPs51P817aem3v1gmvvrBayRAAt4loN9XvDtCjsztBPB5BXdWiMUBQQRurgoVKiSZMyddw3bw4EE5fPiwnD9/XiCE5MmTR/Lly6fcqJiWmOFgcu5MvOzZGifLl6yTRctnyo7dG2XLtnWyZ1/CiuZclrBRpHApKV6kjBQtXEaKFCojxYqUtq6Vkdy58ibp4pGjB2TfgR2WaGJtB3bKfhxb25o/FyfKO3bsWKHwkQgJT0iABFJJ4L333pP//e9/iUrBdWD16tWlVKlSUqJECbVlz549UR59AlEa79vYO4/hhtBf+vDDD6Vt27b+bvM6CZAACZBAgAQoegQIitlIgARIwC0ETCHA7LNTFND5sNcTflpMMMsF61i3p+vT/dHX9Tnu62s6r7lHPud9s6yZ19exWTY15XzVxWskQALeIID3Bb4feONZchTRQ2DTnwdl4oQZsnDxLFm+cq7dsRrXNJSrKtWS6lXrSfkrr7Wvp+dg4eLpMmHqR/L31rWSPVtOGTp4hLRoUzc9VbIsCZBAjBJAHKT+/fvLhAkTbAINGzaUdu3aqQ1Wc+lNhw4dUq4IT5w4IceOHZOpU6eq7QICG1kJ8Zoef/xxn8J2ettmeRIgARKIFQIUPWLlSXOcJEACMUPAnNTHoEM9kedsz9mm877ZH9zD6lUkrD7V95Irg7y4jy21K1Z1vbod1MVEAiQQmwT0+wj2eE9I7ftJbFLjqEkgZQLWv5R8OOgb+fyrobL/4C67QL0b2kizhrdIjWsb2NeCeXDRioA+beZoGTX2LcvC5YK0bXWr9OnbSypWqhDMZlgXCZCAhwmsXLlSXnnlFfn9998F8Y8gdNx8881Sq1atkI8a7gk/++wzGThwoGqrZs2aSvxo3LhxyNtmAyRAAiTgRQIUPbz4VDkmEiCBmCagJ/Y1hFBO8JttpbUdU/TQffZVr76GdnCc1vZ0G9yTAAnELgG8h+hNv5dQ9Ijd1wNHHjwCf/65Sd56Y7D8NO8Hu9Km9TtJs0a3KOsO+2IIDxAMfdQ3/5U5v3wrZUpVkAED3pBGTW4IYYusmgRIwO0EYGEBseGDDz5QQ7nlllsEcTbgwircacWKFfLOO+/IggULVNP333+/6kuuXLnC3RW2RwIkQAKuJkDRw9WPj50nARIggaQEtDig7+gJPX0erL0WK3T9ep+W+k0Rw9l/fY7609KGWT4tfWMZEiABbxDQ7wUYDd6/zPeUtLy3eIMKR0ECwSMwYvgoeW/IEDl6/JCqtGa1JtK10+NSrmzV4DWSiprmzBsv7494TpV4ss8L8tgTvVJRmllJgARihcDMmTNl6NChsmrVKilZsqQ8/fTT0qFDh4gPf9CgQTJ48GDVj6uuukoQ6wOBzplIgARIgAQCI0DRIzBOzEUCJEACJGARMCcNfU0SpnTfH0SU0/WZdTjz6zz6enJ5dR7sUU7n1ZOduM6V3aDARALeJaD/7/VejxTvCc73E32PexIggdQTeOD+h2XGzKl2wa6dnpBbOz5in0fqALE+3vmgt2r+/h6PS/+X+0aqK2yXBEggCgksW7ZMunbtKggsnjt3bvnyyy9VoPJo6ep///tfGTZsmOrONddcI5988okUK1YsWrrHfpAACZBAVBPIZPkrfCWqe8jOkQAJkAAJRA0BTBz6miz0NaGYmk47Jx91G859oHXqfiK/rttZFwWPQGkyHwm4mwDeD/R7gvk+YI5K3zev8ZgESCAwAn2feFp+mDLRzvxKv1FW7I7O9nkkD0qWqCClilWQhUuny+8rFsvJ4/HSsPGNkewS2yYBEogSArt27ZIHH3xQEFQcCVYVCFgeTal+/fqCWB9webV//35ljXLTTTdJjhw5oqmb7AsJkAAJRCUBih5R+VjYKRIgARKIHgKYDNQJQoEWEfQ15z6l+zp/cpOM/uow+4J6zAlM57FuR+91nXqvy+v73JMACXiPgP5/x16/f+lrerSw/sJ7C4VQTYR7EgicQP/+L8mYsV/bBb76eKWULF7OPo+GA6fwceGcSL36FD6i4dmwDyQQKQL47H/ooYeUiIA+PP/888riI1L9Sa5dBDKH4LF69WrZvXu3rF+/Xlq1aiVZsmRJrhjvkQAJkEDME6DoEfMvAQIgARIggeQJYIJQbzqnU3zAdWcendfXXpc3Jx/1NV2Xr3K6Db33lQfXdF3Y67z6mlnGbN+8zmMSIAHvENDvAXpE+n0Be33szKPzck8CJOCfwJtvvikjR46wM4z6YKnkuiyPfR5NBxA+Cl5RXJb8PluWLF0kcRczSN26daKpi+wLCZBAGAn069dPZsyYoVrs1q2b4DyaE6w7tm/frgSPbdu2ycaNG6Vdu3bqd04095t9IwESIIFIEqDoEUn6bJsESIAEXEhAiwd6klDvAxmKs6y/MqgzPUm3o1d2oy7dT3OfnjZYlgRIwF0E9PsC9ljhqZP5PqGvcU8CJJA8AQTYff/99+1Mg/5vihQuVNI+j8aDK0tfJbv2/C3bd26QxUsWSYUKFaVixYrR2FX2iQRIIIQE8P41YkSCYFujRg0VJyOEzQWtalh3wMpj8+bNajt58qQ0atQoaPWzIhIgARLwGoGMXhsQx0MCJEACJBA6AuakYaCtoIzedBldjz5Pbh9oXt0G9hA2tKsafT25NniPBEjA2wT0+wD2SBQ/vf28ObrQEli7dq189NHHdiP9+46QMqUr2+fRfHDLzQ9b1iiXqy4O++DTaO4q+0YCJBACAlu3bpXPP//crrlHjx72sRsOXnzxRSlbtqzq6vDhw+Wnn35yQ7fZRxIgARKICAGKHhHBzkZJgARIIPIE9OQfeuKcEDR75+seJgwDSWYbzvxmvb7y6ftmW/qar72/+nHdrMOZj+ckQALeJYD3Clh1mJYdeD/Q1h18b/Dus+fIQkdg2LCP5MyZ06qBpx8ZKjWru2elcamSFaVL+4dU39esWyFDh1D4CN0rhTWTQPQR+Oyzz+To0aOqYy1btpT27dtHXyeT6VHJkiWlf//+do4hQ4bI2bNn7XMekAAJkAAJ/EuAose/LHhEAiRAAjFFAJN9ekIQx3rTELSwoM+x13mwDyTp/P7y6vu6Pt0fPUGpr+vyZn5fx/7y6evckwAJxB4BvFeYIofzfSX2iHDEJJB2ApMnT5YffpisKoDgUbd267RXFqGSHVrfJ9WrNlCtfz5qhOzcsSdCPWGzJEAC4SSwYsUKV1t5aFaI76FjkPzxxx8C4YOJBEiABEggKQGKHkmZ8AoJkAAJxAQBCAxIviYA9b1ggPBXl7Ndfe4vf0p9SWu5lOrlfRIgAfcSwPuKc3PvaNhzEogsgdOnT8uwYQlurVo1vcOVgocmeEuHh9XhwUN7ZOhgWntoLtyTgJcJmG6t7rrrLqlTp45rh/vII49Ihw4dVP8/+OADWbBggWvHwo6TAAmQQKgIUPQIFVnWSwIkQAIRIuBv8h/Xzc2cCHR21bxnHpv5zLrM6zjW97TFhvM+6jQT8iNhNXbmzJltIQbl9T0zv/MYefz105mX5yRAAiRAAiRAAqkn8NFHH8m6dWskb54rpLMVG8PN6apKtaRJ/U5qCGO+HSEb/tri5uGw7yRAAikQmDt3rkycOFHlypMnj7gtloev4SG+R5UqVdSt9957z1cWXiMBEiCBmCZA0SOmHz8HTwIkEEsETKHBPA4Gg0CECd2Os+3kymohQ5d17pMr68zLcxIgARIgARIggbQT+PHHmarwnV2elAJXFEl7RVFSsmmDBNED3ZkxbW6U9IrdIAESCAWBGTNm2NVC8ChXrpx97taDggULSpcuXVT3Fy1aJOYY3Tom9psESIAEgkmAokcwabIuEiABEohyAimJCCl1HyKD3px59XWnEKHb1HuUQx6nFYev8iiTUvJnTZJSOd4nARIgARIgARIIjMDs2bNl/fp1cs1VdaV541sDKxTluapWqSO1ajRTvZw37+co7y27RwIkkB4CK1eutIu3atXKPnb7QceOHeWKK65Qw5g5M0GYdvuY2H8SIAESCBYBih7BIsl6SIAESCBKCAQiFKSlqymJGVrUcO61mKHb1PXofjrzm+e6jN7ruvReCye6Tp2PexIgARIgARIggeAR+OGHH1Rld3R+PHiVRkFNTet3Vr1YtmKebP/7aBT0iF0gARIINoFdu3ZZrvnWqWqbNGliu4QKdjuRqK9AgQIC4QNpwoQJsnfv3kh0g22SAAmQQFQSoOgRlY+FnSIBEiABbxDQwgZGA2HCtMrQ4kZ6RhqMOtLTPsuSAAmQAAmQgNcJnDlzRuAP/8oyV0nlCjU9Ndw6tVpIlYrXqzH9OGOWp8bGwZAACSQQMK08WrZs6TksOqA5BjZ9+nTPjY8DIgESIIG0EqDokVZyLEcCJEACMUogLUKDtswIFJnO79w7yyPwud6c93hOAiRAAiRAAiSQfgIQPI4ePSo3Xt86/ZVFYQ1NLwU0/2XBnCjsHbvkBQIbNmyQ3377zQtDceUYli1bpvqdP39+8aLoUa1aNdEuu7788ktXPiN2mgRIgARCQYCiRyiosk4SIAES8BABW3gQK55HhniROGtw1k7iEuJ7XMT1S5fUZdwytouIAyIZrGsZrPLYdBXIfQEmINYWZ+3OX9pQOrCEviHpfWClQpjrEgCM4II1aoz9gnWCc9zytal7YITNyIPrF62ScdbfhBsJV5CHiQRIgARIgATCRWDOnAQxoPZ1zcPVZFjbQZwSpKNHD4e1XTYWOwReeukluf3226VGjRry9NNPy5QpU+TCBes7MFNYCGjBCYIHhA8vpvr166thbdq0SRDUnIkESIAESEAkMyGQAAmQAAmQgD8CmIi/ePGisqbA9Dtm3zPEZZT4TOesQ0vuiM+uJvWzZrQm5jNYm5VU6HFjZt7KbV3MIBmsuhIm761jK9PFDNadjBcko1UigzWxjyI4ymCpIurYRwxz012WauzSH3/XzTzBPNYii9luAp14yYRhWtvFDOesD9lT1lizWGPKlnDRRyeALUHuAKaEQWOnrimuqDCHVTIhF9rJ5IONj6p5iQRIgARIgATSTQCrpMuWqSAlS5RPd13RWEHhQiWkUIHicuz4sWjsHvvkAQIDBgyQb7/9VqZOnSrjxo1TW9myZdXqfEzEQwxhCg2B8+fP2/E8vGjloalVrlxZH8rBgwftYx6QAAmQQCwToOgRy0+fYycBEiCBAAkgAODRo0eUeJHRsmG4kPGcZLyQ2TLQyCz58p6SfJedFslofKToSflL6kV8XJxkypRJsmTNKhkzXTIytMpKhvMSZ836QzzJnLWiJabksOSPi5I5YyYlgATYvbBng+gBgWL//v1qQwcsWxXr70XJFJfJOs4kWTOfluL5T0pGi8VFa7M0niRJ4bEyZM1icbFcdVm57DzxF1Aok2TKXsLikhOH1l2IREjWCRMJkAAJkAAJhJjA+vXr5e+//5ZmTW4OcUuRrb5sqSqy+PfZcvjwYc+uBI8s4dhuvWLFivL8889Lnz595Oeff5bZs2fLd999J8OGDVNbWUsAqV27tr0VL148toEFcfSmAFCpUqUg1hxdVcHFVZYsWQQiz6FDh6Krc+wNCZAACUSIgDFDFaEesFkSIAESIIGoJoDJ+CFDhsj48d9aVh7Wx4YleFyw5twzX8huTfyfklvb5ZZne5aXzPGWQye4v4Jcgfn6S6OCOBBvucKChcI56yJy2Mmawb9o3TidKZ8UqtDXKl/Vqh8lo3dSX1t5ICj7zJkz5YUXXlDDiYflSnwmy7rjrDWGM1KnWjZ558XrLfHjrGS1csBowzL5UHnxJwGV5fbLGu5ZDDkBnQ3oosXmdObLJF/JuyVbrhYWv+yW4GGJQfAPhvxMJEACJEACJBBiAnv37lUtFL6iVIhbimz1ZUtfrUSP5cuXS/Pm3nTjFVnCbB0EcubMKW3btlUb3FxB/Pj111/ll19+kTFjxqgN+erUqSM33HCD2uMYC4eY0kZACwDFihUTbF5NWa2FZRB11qxZQ0sPrz5kjosESCDVBCh6pBoZC5AACZBAbBFIsECwxmxN8sfHXZC4TGcSRAzMymey7DJOn5VsVjyOjBn1hH6CGyY9Lw9XT77cMSG+hxX0QskbcZZQADdQmWDOYCVdVp1E4R8IOeACf8wQP5AQtwSWGPDQnCk+o8SdPCvZ485ITutORgg5AHEpKX0Dl6B06MGCh3Ge2ao2Pu6sZIIFiGURI5IloTRFj0sUuSMBEiABEgg1gePHj6sm8ucrGeqmIlp/Qcu9FdLvv/9O0SOiTyJ2GscE/N133602WCNo8QN7xGTA9t5770mRIkVsAaRBgwZSqpS3BchgvwK0pUe5cuWCXXXU1XfNNdco0UMLPVHXQXaIBEiABMJMgKJHmIGzORIgARJwGwFYNmBiHxP0GTJawcbhvMm6ZhlQWxYKVkQOa4JfzdvryXtrgMZhomNz7BfxCWRN4GNyPy6TVb9lCpEhPnOCJYM1z++3oFlJFB1ntFxbWSqFWCFPLEb4g7+IgWINBacGFH2IfWIp5N8BoVwmq1D8RctOBIIJTEMsSxLXgfl3SDwiARIgARJwGYETJ06oHhcu4G3Ro3DBBNFjxYoVLntC7K4XCBQoUEA6duyotrNnzyoBZN68ecqieM+ePTJ58mS1wX1RixYt7A2WI0zJE9ACQCyIHrly5VIwtNCTPBneJQESIAHvE6Do4f1nzBGSAAmQQLoIQPBIED0sYQLWCHE5rJjlVjwPa44/gxW3Ii6zFZMDIkWqVIp4JXZYBiJWfdYxxAFrlv+iJapksOSUTMrqIV3dDmPhf2ULy1mVomDpFRYOS7AALrsnWuqwL6gDFeA98aWEMyWeoG5LCLpk5RFvMUoIdq6A+yrFayRAAiRAAiQQNAL//POPqstVH8tpGP3e/TtUKe3CMg1VsAgJBIVAtmzZpFmzZmp79tlnlfABd6rYEK8BwdCxFS1aVIkfXbt2lSpVqgSlbS9Wgjg9SBUqVPDi8BKN6cCBA+ocrxMmEiABEiABzKQwkQAJkAAJkIAfApjkiLfUDWwqNscl64X4TFZcjwyZraDdmNS3Jvet8gl//VTk67Ll2kr5trLm72EtAosGGDJkhFUDpAPfGoGvmiJ8Df21OFmWGHDWhbgeGayYHtmyIZKHNQyIF1YWf3xMCxBVwPiT0eKbAW7DrDqV4GTZjrgGizEOHpIACZAACbiTwOnTp93Z8VT2ev+BnapEwsKCVBZmdhIIEQFYcmgLkO3bt8vcuXNV/A/EAIEFyKhRo2Ts2LHSvXt3uffee5UrrBB1xbXVamu18uXLu3YMgXZcix5XXXVVoEWYjwRIgAQ8TYCih6cfLwdHAt4lcOGcyKkT8XLyeLxctCbPLa9CEmdZHiC8wskTp2T12uWyZdsG2bNvuxw/fsQyJrgoRYsUl6uqXCMNGtWVchULeRdOiEeGSXc4u9KT+P8epbbhS8KGEjkCK+tvBWZ0TFJcEj+soQRFmAAeVInKYDViqiNBaSAw5sxFAl4noN9XouN9xOu0OT63EdABlI8dS1gt7bb+B9rffQcSLD0CzR+OfOPHj5fdu3erGGJ4f8KGeGJ6c14z7+tjvUcZfaz3uh6MRR/rPfI48zmvmff1sd6Hur1A+OO9/eLFi8o6AnvEYUvpHHl0Pn0c6DlW14erHQSt1m2dOXNGPvroI7Vt27YtEDQxleeKK65Q492/f7/nx63HiIDmTCRAAiRAArT04GuABEjAhQS+GTVL8l1WSQoVLGr3/uixQ7Jk+U+yaNksWbV2kVxd6XopW6aKXJGvrOTKUUSKFCwpBw7tkRnTZ8n/vfGC1KnVRLp0vkVat2so2S/7dwYZXxa3bNkiWzbvlWNHj1mCyQlZtWqF4AvzqbPHrYnn87J582aBqTRcPuXJk0eZlHfu3FlatWpl94cHoSGAH9NIyt2W9WMW5/paaFr0X2vCRGmC0JEkl5/LSfLxAgmQQMQJUPSI+CNgB6KYQMGCBVXvtu/aKHWldRT3NH1di0bR46mnnkrfoFg65ggg+HmdOnVibtz/z95VAFhVNeHZ3qWW7m4p6ZYQEZEWFTCQUFEUFbAb5TdREAzERAVRMVBKKekQpEu6u3P7n+/cnbf35b5N2GWO3ndqzpw537372J25M+PrwBLWauPGjdS5c2dfpFl+Tjw9roX8JVn+ZukBFAFFIFMQUE+PTIFZN1EEFIH0QGD37t3Uv+8jlDdXcVq7cSnliyxEJ08fpTNnT7IxIp4K5C9CeXLno3Klq9KeA9tp49ZVFB4WQUUKl6LjJw9Rwzqtae2GJezxUYZWr1tGq1YvouFv5KbWN7aiESNfpzGjxtHID0aw1wjyJQTwm17R/HZYFF28eJ5CQ8Mpb94CVLBAcYqIiKAqla7nOpj3P0aLFy+m6dOnG6PHF198kR5HvaI8RAHoqtSX8SsqnIfNIVdmGz5gdMFbjNHR3mLmBlBQMMfq4sJmGRP+y4PoOqQIKAJXAAH5LrPX+HnWoggoAu4IiNFj38Ft7pPZaORIYnirq+VIPXr0uFpEyTA58L0LTyIk5/ZVBwcHk/0CLb6/ceH3MXkRxrXtad51zN6X9TiwtKX2NIa1cmUYSClkPHLkSBPuKoXLsjV5mTJlzPm2bt2arc+JhO2nT582P0/ly5fP1mfVwykCioAi4C8CavTwFymlUwQUgSuOwOhRn1DdGm3oAhshwravYaNDDsodl5dKl6xEHdvdQ7lz5eMrD50/f5YqVqhBuXLm4T+inL/mHnngdYJXyK49m2nD5n9ozvxfaMaMmTTlj58IvyxGhOekB+57kSqVr0HFi5WjyDz5fZ47KCiAckUG0NJ/ptNTzw+gjh0609Rpv/tck1UmM9uQ4A8u8selKCjRvxIF+2NvhBbQoggoAlkPASiy8B0n3yn4WYZSTYsioAg4I+AwerCnR3YtZ8+dolP8Eg1KZGTkVXFMvLEP5b6rsh8GAvuYv21fRgW70cEXP395eKKz85X9QJcdCv4dwb8prnVyYzIv69C3jyF/x9y5c00ODztOSFretGlTatKkifFEl3Wo1cvDjpTVLl68uPmZ2b59u/tkNhqZMmWKOU3lypXNC3rZ6Gh6FEVAEVAEUo2A/nWXauh0oSKgCKQXAp9++ilNmDCBLl+KYSVUIDVreiM1a9KUunZvz2/LW7v8t2Un/btqMz3Svyd9/OVr9MGbUyh/PivkQkrlyBtZgOrUam6ue3sMpjXrFtOr7/Rnj5FTxmDy9cR36ZH7X6frqtRLljXyiZw5mUDVKtxCn42aT/0ebUkdbr6L3nvjG8qVN4BKVsy6f9BZCsFkIchwAvwxaC92Y4y9bafJjLYll7NsmbGv7qEIKALph4AYUKEs0qIIKALuCBQsWNAM7mMP2gsXz1HOHLndibL4yLKVfzpO0KZNG0f7SjY0N8OVRD9le+N30fQy4Bw4cIB+//13c23atMkhCMLpdunShTp06GCMHY4JbfiFQOnSpWnnzp10+PDhbJvsfebMmQaLVq1a+YWJEikCioAicC0goEaPa+Eu6xkVgasUgVmzZlH/fvfThQsXqXrV+lS+VDnas387/fzzJPp03CgKeyiCGjZsRNdVq0hbNx+gsqWq0q9Tv6K6NZul2uDhCYratZpR+bLVOKxVPN3cugeHySpKbVp280Tqc6x4sbL00pOf0jPDetGUqT9R29a3U2TBQMrNxo8rUcRY4K9hQOghq6xBCg1pZ9oZYEdIhAwyZfr+fh4Ucl2tsvl5BCVTBK4ZBOTtWfmZhYJK3o7Vn+Vr5jHQg6YCgcKFCztW7TvwH1WtlPwLIY4FWaSxbOVfDklbt27taGtDEcgsBJYsWeIwdly4cMGxbfXq1Y2xA7koihVLymXoINCGXwjUqFHDGD02b96cLY0e+/bto+XLl5vQu127dvULEyVSBBQBReBaQECNHtfCXdYzKgJXGQJz5syhZ595jo4dO8kJxxvTA71forJlqrhJ+evUL2nBsp9o/Phv2SARQHOmHKSe/evRS0+NdaNNy8DJU8do777tVK1KA0L4q7SUZk1uoRtv6Eojxgyh5k1uZVZ50sIuVWvtxovkGHiiFaVgcmszYt7VPHQlZUnufFezbMnJrvOKwLWGgISkk+88Maji51ja1xomel5FwB8EEIoIbw4j1M7i5TOyndHj+InDtHr9AgNFo0aNSMJ5+YON0igCaUEgKiqKfvvtN0JYIuQHtJd27do5PDvs49pOHQJ33HGHMSrNmDGDsqNhU7w8YPBAeCstioAioAgoAhYCgQqEIqAIKAKZhcCuXbuoYYPG1LPHXVQgb3l6uO/r9L+XvvNo8IBM3Tr2o2l/zKLrqzflXgKHjmpFndr1Zq+QBukq8uJlMyhHRG4qXrRsuvB97YWvKJbjw48aO/SKeHmIUk8Og77rGOZkzNu8rL8Stch2JfbWPRUBRSB7IgADh1xyQvRhEEGtRRFQBDwj0L17dzMxf8kUOnHyiGeiLDq6cs1ch+QtWrRwtLWhCGQUAgizhITjMGw8/fTTDoMHkk8PHDjQKOfHjRtnQllllAzXGl/8bBctWpT+/PNPOn78eLY7/oIFluFWvTyy3a3VAykCikAaEVBPjzQCqMsVAUXAPwSWLFlKnTp2Nm8Ijv94KRUtUsqvhYd2x9E5TkzesllnemzA/yhvpBVb2q/FfhLt5ZBaOSJyUaUKNf1ckTzZjTd0oVlzJ9PRo2+QPTRE8ivTTuFJeSdGBJlDH237uMylXYK0c7iaZEn7abIWBwkDJLkORHr7s4Ix+z2y50Owj8tazNsVy+Dlyk9o06P2JAP4+rMvaLBeajsvkTk9ZHTlIfu5YmWX2y6L63qRWcZFVlkjtcwnV2O98BAvCdc1IrM/vIWXrLHzkjNjzvW5s9OlR9sfWdNjH+WhCGQnBBBaZ/jw4XTkyBGC4eO2jg9mm+OtWvu34yxq9HBAoY0MQGDRokXGqwPeHdHR0WaHsLAwuuWWW8wFI0h65QbJAPGzPMvbbruNPv74Y4K3x7333pvlzyMHWL9+PcHogeT2LVu2lGGtFQFFQBFQBBgB9fTQx0ARUAQyHIHJk/6kbl1u5/BRDWnMO3/4bfCAYOfOJFCunJF08tTRDDF4YI/jJw+houLFypg6PT5y546kMmXL0Jtvvpke7NLMA4o+UfbZlY9gbFdGp3kjZZAtEIASWpTT8uygH8ceTLjkWcJhMS70qFFc16Avz50h4A9ZFxsba4ZkTWpq4Yka670VyCeyoB0TE0OXLl2iixcvmhp9FMzhwlntcksbNa7UyOptjewrvI0gLh++9gSprBX50Uc7NUXWSi1y23lhDuP+FldeshZ1auX0d2+lUwQUgbQh0KlTJ8Ng/pLf+Lsmdd8raZMg/Vfv2r2JxNMDiudatWql/ybKURFgBODZcffdd9OPP/5oDB4IGTds2DBCyN/Ro0fTrbfeqgaPDH5S2rRpY3aAt0d2Kp999pk5TrduKc9HmZ1w0LMoAoqAIuAJAfX08ISKjikCikC6IbB9w2V6ffirdH2NptSxXereqhn+4njqcGd52rlrE5UvVy3dZBNGuXLkocvRlzi8VTkZSnN9z7130Yqh0wkhvfBHTb9+/ahUKf+8W9K8uQsDUSxC4YgitX1c2i5LtXsNIoDnY9WqVYREmvbnAuM5cuSgunXrUnCw868PoDt79ixt2LDBGBLssGGudOnSVK6c88/XmTNnaPXq1cboBoW3fS/7en/aZcuWNfxdn23XtZjHXnhbGX/0rl27lk6cOEGIqx0aGkp58+YlJA3FH8aQ19XrQPiD78GDB+m///5z3SLVffDGfhEREVSvXj3H3jC8INa3vBUKnLxhhftTsGBBKl68uDkP6Owyp1Q4nHHHjh0GM/uekBNx/qEgzJ07t19sgTtkWbduHZ0+fdqxBmPgXa1aNSpSpIhjXBuKgCJwdSEAo8fnn39Oe/f/R38vnkKtm2d9BdvsBT85QO7bt6+jrQ1FIL0RQJ6FJk2aELyJYOAoy7+3aMlcBOrXr0+1a9emhQsX0po1a0w7cyVI/92mTp1qvIc6dOhAd955Z/pvoBwVAUVAEcjiCDhrLbL4YVR8RUARuPoQ+HnyZKp5XSPauHUV1bm+eaoEzBGRk1o07Ui9H25GTRveTC8/8xl7f6RfgvDatZrTvEVTWEkYnir57ItOnzlhkpjPX/w7BbAv3T333GOUl7169aJz585RsWLFjPvxddddR0iql9HFrqiUvTAm4/4qRKEQzhGRg1+jt7iwKpUbQcwnhMJiAij6OLvpJ87JPlJj2FysKA0MtFZac7IgwLxRf27j7xRH89kqE0hxAfwmvUwLI1MHUFh4GAWywjWelaX2EhTPytNwVvaWbEPBQRyjn6w3URMo2Ek0nBkKd7i3x8bG8BzLFMC0AUFm77CAi9SgXAzljMB65z3Mfhhi2eJ5vwoha+i+G3NZYvA4RLamQ6lkwWCKOs6eAkEsF78VG+iNFT8nwSHWP8d8ayzmhmMCxTK3kGieY+gZOuYD/Jifmc+ojwR6//33zB+ErjsULFiAvv9+EhsxyjieIdDgrd/ly5fR4MFP8L10fQM4gceH0IABAxzs8Pxt27aNBg0aZJT5QXy//H0WHUxsKDzxxBP08MMPmyl5toUOfHFZxoNFNGHCBPrnn3+MkQaeHcDcMrpYzq9Tp/7B4Q8+pBo1alL79u35upUKFCjg4C38ly9fTs8//1wq5BbJXGvrrlaoUIEm8/cmjAooly9foueee4ZD5R1zwtx1NfrAMYC/eCIiwjl2dTFjwGnR4gZq3vwGioyMNPcJPzZBQcn/+hcTE01ff/0Vffvtt277AoMI/j744INRrMBp6TbvSTYYSoDze++9x/ivsJHwMx4SSiNGjDDhPayfItu0NhUBReCqQADKQoTfgcEYIa6yutHjwMEdJEaPbp17UuPGja8KnFWI7IkAlNK4tFxZBPC7In4fHTNmDH3xxRdXVpg07r5v3z4aMmSI+dvyySefTCM3Xa4IKAKKQPZEIPm/erPnufVUioAikEkIrN44j6pXbkHrt6ygnDn8eyPYk2jDnvuCKpStRguXTqdOPStRkcKl6MN3plLBAkU9kadorE3LbmyoGEx/zf2Rbu+S+jjVo8c+Tz9NGcu5QWrRw/1fo8bNatDIMcOMMnbatGmUJ08e2rt3L02fPt24sq9cudL84o3EhelZRCnrytPTuKcx+zpRROMtc7wND4U7VO6BCXEUy7rtwKB4ir4QSgnHWXnMCk2b1t9o/xNYUx8rGnqj9LdMAtiD1dwwm/AnsfHhPAUc/otbSCrMc9DMGnpQJhXIE4s5LgGs4GUtrmlDpouBoRRT8HoqVrIFG0SCmTeIZHNDZtHyGngxvPLKK3T50gUew4axbCIJovjYQCqQ4wJ9+ngtqpyfvQ88CGFYMg/sWY+NEfXaFbaYsyiWut/a8+zpKAo/dom9ItgoFMf0Qe6y4LzxbOCJTogxOwkFTgWDRwLjGxqdGP7J2sUYaAKs0yWOpHeVwKGeEO7pohNjKK0PHTpEmzdvMp4bkB3FgjiBVqxYbgx79mdK2jAuuRYowC9fvmyMHrjn8qy50nnv86LEYhkvLHnAR/bFtISo+uCDD+jTTz8xzzHmMY4aj5BFbz1LcXGxxii2ePEiWrp0CU2c+D0bgd6nihUrOjxcZD0wSrncIrVrDfkDTJgtS56kefzsYS/X8SQK59a5c2fp8OHDtH79Ovrppx+NFwXOj+8a3Ed/Cjx3gAGMLq4FckRFXaZ58+Yao4frvLc+9paz2GkQ4gy4W8+SfUbbioAicDUhAAPz0qVLae2GRbRwyR90Q1Mr5NXVJKO/ssyeP5n//blsXnjp/0Bff5cpnSKgCGRhBBDGrnfv3vTNN9/Q2LFj6aGHHsqyp4GhA79TDR482Px+l2UPooIrAoqAIpCBCPj3l28GCqCsFQFFIHsj8N/2NVSoQDEqUbRsmg/au9dQ+mz0HBr04P8ojL0yPhj7bJp5CoNmjdvTvIVTOITWZtqybTXNnvczvTdmKL018jG6+4GG1H9Qa3p39GA6dtzK/yHrpH765R409c9v6fkhH9GXH/5Nd90+iMoXa02PP/A+LZi7mlq2uJHfkGxvYvnC8NGzZ0/atGkT3X777fTDDz8Im3StoYxNjUJW1kkNoUyblfBxrKiGhwWuQKOhZEUtezzAyyKYdcbBrPW31yFxROF8RZg6gdsBfHHN9KFsDQlmfX4w90N4XQgrocPY1yOYDSrB7DkQzCYE1yuEDQQhbDwI5SvIeE/Ag4LNFbwmKOEy5Qw5zyaMKL5g8ggyhgRPoEL5igsKb17OF4wYzCuAPTPiY3mO+UEWDzIExmMvlg17Mh5BzMRcLFswe3UEsaEikN06ArkN9wwYQkK5NmfEOZ0uXsPYAINQ23goLw1nr44QliqAZbsaCowEuPDcuirf4cWERIr+KtQz8zz4g3D48OHmrb7o6BhzBhhcfMmK5x00OO/GjRsJyS+RgBTjWaXgfHIGhB3Dd83ff/9txvxYRiu4AABAAElEQVQ5w/79+00IL084AQcYKpA4E8YVLYqAInBtIIAwdDB8oPw87VPjLZkVT3702AGHl8ed3ftQzVpVs+IxVGZFQBFIBQKPP/44wasWnqcI55oVy1tvvUXLli2j1q1bU48ePbLiEVRmRUARUAQyBQH19MgUmHUTReDaRODUqVP8ZnQIHTi0M10BuK3T/YTLmwEiJZvt2r2ZZs75gTZt+YcOHt5LTzzf1SRNz8nhs+CZkj9fYbp0+SLn+yhLJYqVo7CwCDf2q1YvoMXL/6Rvxy5xyzlSsVxdwjWgdzx7eWyjqLhTdOncKtqxbb8JmQMPCiQwnDVrFr300ktUpkwZN/6pGTBGClZMuiqnU8rLWm8lGTYJp1l5n8DKYHhABHEbr2YjkBRCUSXACML/Owrrh9G1lPZJIbUcRDAIGHqLf2AQGynYVmGFreI9oF8GTyigE/kiFFU8GxwMX0zbvCdCuR/PxoMgNhUY7w1j8mBLgqkTGWAN87TOJQKij1Mg7A9fxuuAjR9Mx5/WXjZZOPqWKeAM3jD+YNp8mAa3eSwe+zAzmFMSOOQTdz0Wc5ZELI0VJpEQnjMBscyQ6ytdBDMYAZCTAZ4bQUEhBkco1qH43rNnjzESQEmO509qC2v3E2Aca1GY3K2I0t51Qvi5rvFkkMAY8mEgcSieXxbNITP4YA9caIMW50ORPdBGSDZ4eVStWtXQYMz8LJgb7vmm4hZ6kgdrpWDevo+MiyzSd61lHjVkZ2n5sgAEJoIpZMA8vGCQg+Xo0aMmhFSDBg0pV67cHvfGXpAL15IlS+j8+fOOc4CX65kQogzeJIULF3bgCB5aFAFFIPsi0L9/fw5nuNyEufrxtzH8kseQLHfYOQsm0/kLp6lUifI08NG+WU5+FVgRUARSjwByn8Hw8dhjjxnDx8SJE1PP7AqsRMSATz75xOz84IOpj1BwBUTXLRUBRUARyHQE1OiR6ZDrhopA9kbg4sWL9MILL9DKf1ZyguDTdOzYUfp4xyuseIumX6d+Sd069ks3AAoVLJYmXpN+/og+//YNCuV48k0b3UID+7/Oirsgur5mUzZ4JOZp8GOHrya+Q43qtXEzeNiXQqlepkwVM1S5vBU3OpxzRmzc/jf9MfN7Dhm0mdq2bUtdu3ald955x740xW1RTEIpisufIopS0Lqvs/gEsUWAUxHzPCuKWSlq1rDXA/spWIYBDx4J4IUQVzBgGLWs6Ge5DmAexrDBHMAvCApntijAP4NXiB4XEvGYvdjOZLMHwMgQSBxqiy0nlsEEa8ALRM4cILvBCbk8YMUwCURYVj4DTBhB3IfXCnJoOJekvjNHiwoGDhSYS8ISzxTA57e2SFprUSd9Wqv405Ak8uA2jDqBHB7LGrGmDTZJSzOlBaxwQfGNN8uOHz/BSaeLOpTgSEh+7JiVc8Lc80R6b88feCHc280335z4vOEY1ilhUIBCDXlX7AV7I8F3oUKFzL4BnINF+FeqVMm0zT1NXIQ2lPYff/yxqbHePA+JtwFJy7F/o0aN2AiQy4Tm2rJlC/37778m3wjWgj+Sj8IwiT+SwQPPDsaLFy/B8bk7OjCwy4ocJ3v37jGJ3e3jaCNZ9/XXX89GoyDDT+ZZXC4BxoAgY95qyIHz4Y3rYsVKGDLIdfz4ccIZEDrv4MH9iTjx88O02G/r1q0mR8eDDw4we+McgiGYyNlgsEbOGxhMZC/kNSlVqpTBxy4XvD1atmxlcpDYedlptK0IKALZCwF89yxZspR+njqWmjfqSKVLVc4yB9yybRX9On0cfycG0/DXRlCJkmkPk5plDq+CKgKKgEGgS5cuxoMXL8WMHDnShIjKCtDAYxcGGxQYPJo2bZoVxFYZFQFFQBG4Ygio0eOKQa8bKwLZDwEo2xBCJToqlmrXaE7lSkbSmvWLKQcbEP7btpYm/PRBuho90oLgN9+/R9/9OIpu7zyAHur3cqpZIQ79+k3L6d1hKQ9RdflSIFUocSM9PbANzV70DX0xfpRR9n766adOSZ9TKlxqFI9YY1cY2/eUcVPb9Pain7eMF9yztLb2pazGZk0ueNvWWYp9JoOSV9YY20OSOt/QQ0edggJWMMqwa4kxMhj+bAZxNXi4sYRsxpXE8vYISHQrgbHGEtJthecBnIcPZ47FNfxRjPcLhiEW6hQUw4etN/E4D9cWZ/BJKacUbOqFNF++fMZwgBwcMAZMmzaV7ruvr1GkI3E5FN8wVuA5Cg8PNzUMoHhmvD2PMCbAIAEaJOAWrMEfrvqnT592kgbKdySfbNOmjeEJo4e3Ap5Q4O/evdsYMNC2lPccloy9HmAAeP31101SUYyLYh+yQu4VK1aYeM8wEiBmcunSpR1byXnwh6a3PzYTOPTZTz/9REOHDjV7mZ+dRA4weHz44YccRz7UBRu+w3zT7bSOTW0NmUd9yy3tqUoV57As8FaBB8ZTTw01obnkvoAenmVIQtyr110msbmNraMJOnyXI6wXcBFDSLly5ahjx45uRo9169abZyJ//vwOHtpQBBSB7I0AwlwNHvwEvfbaa/TDlDH01KNjssyBP/z8OTboRtE7r39NrW6ql2XkVkEVAUUgfRGA8RbhrUaNGkURERFXfX4PvBAE7xT8LteiRQvzkmH6IqLcFAFFQBHIfgikUKWU/QDQEykCikD6IIA3vdu3b0/58xanz0Ytpmef+ISeePgt+vrjhTT6rd/p0fuHm7BRS5YjWfWVLbt2b6EvJ7xN9/YckiaDB06x8t/5RjHYsP6NqT5UdFQCtWhwLw3o8wpdvHDZuCzD8JHeBcpMTxf2gSJXlL9ou9J5ksVSylszsBPEs1eC6yVeHvC8cL1g2EByb6yJY/11HOfASMDF/zIZWnhauF4cvsptLJHGyIOAVDASOARmZkkdx2hSA0IgoTVGLEL2Z+Ammxac9vKwr2M+cY7xBRvDCwewF3RTcjmtdTZzGEOSfT4D28a7hw0GCLsGzwj0cc2dO9d4b+FQx48fM/k8IAaendq1axuJ8DyJgcBVRIzjEhoTXgwhxuBFxOtQPK219mfPIkNr8RBesgf68vwifw4MNQhRhTGZK1myJDVr1swYQEQGeHmBb86cOTlG8o300Ucfs+FiMhtZbjJn9rSPjLnW4AnjA8ZhNLAXFoP54QyQ3zpzUs1eTYwvDDPeisjraR48sbZKlSrmeyR37tyGH84uobv27NlNSFIOWozbSzx7buFatmypMWJhXu4HjCvNmjV3O8/27dvYyPIf83I+p52vthUBRSD7IYAwV3fccQctWTGD3v1wUJY44Gvv9jMhVx8d8BL16N06S8isQioCikDGIFCiRAkT9hOerG+++SaNHz8+YzZKB64ILQuDB7yg4Xks4a3SgbWyUAQUAUUgWyNgaRay9RH1cIqAIpDRCBw4cID69etH8bGBNOp/0yh3rjxOWyKvR9dO/ahwoRL02Tf/c5q7Ep0RHw6lGtc1pHt7DE7z9ouWz6BwD3k+UsO4af3O1PWWR6hAvuL03Xff0fz581PDJkVroPh0LVB0Jl2s1ua+K51DVcrrYfCAUwTn7vZ4ufKXPnaWNTJmjA1gjklPFzbyNI4xs4QV14bA6kMp7+RlIsOm5kWwsEhBEnMTCosHZMqxFzccbWveHNqMyRzXLLvD3oE5KYaOO/7WTGphbDFBmC07O2Gb0bV4SCB0FUIb4TnAGDwBTpw4bhTka9asJiS9RoH3Qq1atcxbaMnJBuU+FOpQ0oNvkuLfuid47lyLFdIKhhErtJW1DmsTcUqssQ78rXEo46G85+eNP8AXOUjwB6QYAqznHeGd8OxbsuTMmYtKlizlkE/4gQcu+96e2nYa53NY/FkapzODh6xxpnfuWbJaP5Ou+wolxosWLUrw0MH9whrIj3Lp0mUTtkpo7TU8bs6dO0v//LOChy38sRZy1a5dhz1eyrh5lpw/f47mzZvroLfz07YioAhkbwTefvttEyYwKxg+vvxuOK1ev4DatrqNnnr+/ux9Y/R0ioAi4BcCdevW5ZdcPjK/I7388sv0ww8p99z3a6M0ECEEMgwe+N0V5fPPPzdhWdPAUpcqAoqAInDNIGDT9lwzZ9aDKgKKQDoj8P57oyhPjhLUo5vvN/2+4UTfR4/tp3FfD09nCfxnF825RdZuWEKP3D/M/0U+KA8c3EXVqjbwQeF76vSZEyY81rC3H6AXXu9Nl6MuURXO+ZE/sgx99KGVpM43B/dZUYpK7U5hjUAx6q0kKVO9UbiPg5vr5U7le8S7RL7XOanHnTq+11kSJ0eT+fNJhhpPh/E0ljEy4hlCOXfuHCGcCQoMBXjTbP369aY9a9Ysh2IdIY6gbMc6K9m3WXLFPhCWSpT9EAIGAFwIDfDss8/SV199ZfJgxMaywStRuX/FhE3HjfGjjXMiJwfuF4wWUpJ+tt1/2oABvGNg1HL+fgighg0bmrwdXbt2E1aOet68eSbElWNAG4qAInBNIIDvV8TDR9i+q9nwMXrc0/THX19TWGgEfT5+5DVxb/SQioAi4B8CTZo0oQkTJhjip59+mqZMmeLfwkygwktwvXr1ol27dpndRowYQXXq1MmEnXULRUARUASyBwJJfwVnj/PoKRQBRSCTEYiKiqLp02bxS+9B1LRhO5+7I2F4+5t60cTJo02uD5/E6TQ5e97PNPGn0Q5uc/7+mXJE5KLrqqRPHOdXn/uCXn46daGoxn45jHr2q0svv9GXVqyaQ5v/+5dy5cxD9931JB3ht3nOnL5EP//8s0P2jGpA0SkX9nBWiia9RZ9R+1t8RQGbeQr9jD1P9uAuzwXq6tWrU1hYmPF8QN6LNWvWEH7+t2/f7lCQly1b1uGtAK8PrLsSRRT2CMtVvXoNh1EGsmAOBpmjR4/SG2+8Qbfddhs9//xznLh7OntBXGIK/DxY3hFSw4CAcqXOYzbnDzmX3BcZRy1jqOGxMnv2bJNcXmgwjvUFCxYwsatxJuEnNOgjUf2JEycMP/RxQSGABOwwnuA5wL1FkT137txJmzZt4r6GuBIstVYErhUEcuXKRV9++aX5t0EMH3ih42oox44foidf7krzFv1ixJk7b/bVIJbKoAgoAlcZAvg9Z9KkSUYqeFV8/fXXV1TCQ4cO0ZAhQ0zejlOnThlZXnzxRRNS8IoKppsrAoqAIpDFEPAeNDqLHUTFVQQUgSuDwPJFmzmcVX6Kir5MpUtVTFaIRx8cTjt3b6bnht1Nndv3odYtunA4p6KUP18hfiM7/b6S1m1cSl9+9w6t27CUGje4ySHXlv9WU+7ceR39tDbypJLXo091pE1bV1GXW/tQ43o3cb6EAhwmKweVKV3ZiHRvjyE0auxTJkF09+7d0yqmx/WisMSkKD9FMSoLWN9piszLeHrX2JelYKUpf5oPMYKk907e+bF618IBh8787b0LdgVn5L7DW6BcuXJUqFAh2rNnj/GeWLt2LeEPsSNHjji8CRo1amS8KEShLusz+wiyb+7cuejBBx9gz4XNdOHCBaOkF1nwzOFcOA+uyZMnU8WKFalv375GyY9wXlDy43FEOC0YSuxeI8Ins2v5GcUZ0bZ+diwpgDvkXLx4sflDGflMED4M45AdtEggHxkZadqCk5wBHjDw2gCddXbLaAVlAAxeGEc+lNy585jwZqABD+wzffp0atCgEe8j3LRWBBSBawUBxJj/+++/qXnz5sbj4+DhXXRfj+eods1mVwwCvEwy4uNBifmniH7//Xfz/XXFBNKNFQFF4KpGQAwfPXv2pFdeeYX+/fdfeuqpp0x418wUfNq0aSbXCF4okfLNN99Qy5Ytpau1IqAIKAKKgJ8IpJ+G0c8NlUwRUASyFwL79h9k74RIisydz++Dvf/Gz/Tx56/Qb9O+pGl/fUeXLl80ayPz5OcQKWeMAaVQweIcLmsg3dF1gN98QXjh4jn6esI7NH3WRI53GknYy/5H9+mzJ1jRGZsinulN/MMvHxuDx4Rxy6lY0dIe2Tdp2JbDcHWjWbN+ISiXETrC3+KqyJR1ruNQhIrCFHOu87LuWquNzUONHua24/mQZwNv99evX9/k78Czs23bNmMsgOEDNEia3bp1a/rrr78cz5Wsv3LPUADdcEMLwh+weGvPW8gtefa3bt1qjAU4C/64fOSRR6h8eRhz/cu3kdHnlJ9X2WfOnNm0Y8dOY9SAAWfHjh3GUPrff1tNbg6cC2twv9DGG9kDBz5iPD1ceYEncrOsXLnS0Mq9g7Hjuuus0GbgUaRIYTaa5DEJ7IUvDCr4noKnDPbIiCJ7yb0S+VHD+KJFEVAEriwCMBQjLAy853bv3ULD3r2P7uv5LHW99f5MFezkqaM06+8faNKvH5h9ixYpQZN+mGAM95kqiG6mCCgCWQ4BGD7w+0yXLl3M95kYPtDP6IKwsRMnTjSX7IXfwRDiCiFGtSgCioAioAikHAE1eqQcM12hCCgCNgSios9Trhy5KSY2xjaafHPg/cPoHk4kvmPXBv7j+D/Kw0aTY8cPstdIXtrOYzBUhARbIVSS55ZE8fIb/ejQ4d3Usd299HD/V5MmElvB7E2SN28h2rV7C5UrW9VtPjMGJv8+jjqxfN4MHiJDr+6DaMbcb2nQoEFGkSnjKalFMYg1oiyU9fY3uTEntK50Qm+v2URipTlmhSMKPq2W6abow+SvYCODgwfLwuxTxTAAychNJnFW1oMFEpWbPnpJRc7Iabl5X/4vHsmp+RnG1rw/0qFjXeLxkhYm10rcBkF+zHnAJrHtbWniEg/TPJOY3MPCVlDPPAWv4ASFOgwGN93UlqZOnWo8JJDcHLHc8ZY/6BD2qFKlSvTTTz+Zs0BJfTWUnDlz0DPPPGO8VPCm3IEDB41YeN7xqOEOoY3z4RyQG4YcKO/w5nKfPn3Z+6Mff2/kNXSCSWadTX4u7fthDNdbb71t5LfOgecdTwoMmFbSdrkH4kXXvn17TkhuGVDlHMIftJMn/2xClmFMPENgACpTBsZZi3dERIQxCOENRPDABezgLYOwWDlz5jRjQm+XO7m2Ed/sY1G6ygi5ZAwUIrvUGLPPo69FEVAEMg+B2rVrE74bevfuTfPnz6fxk96iPfu2sPHjOcobWSBDBYGx4695k9jgMYlOnj5q9mpYvymNHfchFSiQsXtn6MGUuSKgCGQqAvh9D99f8PbACzMIdwXjx4MPPkglSpRId1k8GTuwCbyPR40aRTVr1kz3PZWhIqAIKALXCgJq9LhW7rSeUxHIIAQKFMrFbw3npB0cssqfsplDOs1fPNUYOKpWrkPt2vSkOrWa+7PU0OzifcLDc3o0GKxet8gYYG5hnr17DfXIs2iRMuxZcoHmLPiV7i/7nEeajBxcv2k5HTm6nx7o82Ky20RG5qc3X/qOnni+G7300kv0+uuvJ7vGlSA5BaDMQ2kIxTb6ErJGeGHOUiqy0hMGhHiOX8PKeA78wyYDVq5CF4orFcUsxQczMrKIBSAV/AJgIAiIplg+QyivT0A/nhXawTBs2AoPG1KcNYHDAfFb4kEJbOaIj6FYpo3j+SAcDETOK21MvDd5S8vOgk1xgY2P4iSb0PEgTBsBzMyYOgwPGHDieDTz4gfhnkAZjvsfFRXNoUtuoOLFS7JHwD4ej6V//vnHoWRu3Lix8SCAEUSemavhDfwAzjcUHp6DBgx4mDp37kpvv/02zZkzh86ePctyMqR8RsvgQSYUFGQ3zyIjjYTtY8aMpoMHD5g/fhHWCfw8lfQ+M/ihJFaetsSsuZxpLGMd7pv8LCPHR40aNdj485yRX86HGj/3KMjTsmrVKtOW+4a5woULc3L6IrwOU/GczDyY2rZta948RKJ0wQsGj4UL55uEm9Z6yyBiGPr9YckOuXAlYeDZm0PO4Td7JVQEFIFMQQAG5nHjxtEHH3xAfy/+jfYd3MKhPDvQDY07UpHCpdJVBk/Gjpw5c7Ox+j4aPHiw+V5P1w2VmSKgCFwTCAwbNswYOf73v/8Z4wde6unYsaO5WrRokWYMvBk74FmNUKu4ihUrluZ9lIEioAgoAtcyAmr0uJbvvp5dEUgHBKJjLlCx4kVo284NtIc9NiQnhSfWcxf8RmPGPU/39XqKShQrR4uXz6QFS6bRYw+9QZXK+/cWy+ffvslKt1B69dnP3baI4Xj0y1bOpqGD3nObk4HGDdrQv2sX0Mw5k6hbx/5UIH9hmcqUesas76lUifImYbk/G1ar0piaN2lrkuulxujhzx6ggfJQFJ3eFYms9RRFLK9JCIAxIQ52BVPMVGLbGgGR0SpbulnMQUfrQoMuFKqJviNGyc9DhhS1o3hY65jjRiC8NhKC2ZDBOQwCwTCWAllBzWpUNkJYil2hD4yP5rEYXhHKtAkUw8aOgAROvM0EARTF42z14A76rvIaHmYicc7exlDiOpzJXjzhA9oAWQBi+xpmEIBz8MJAGGES54wtxs44A9tQnON5gFEASnG8xV+vXj3avXuXuWfYGopphDSC6z1yQoAOY+IpkIHi+cValPJ4vosXL07vvvsu7dq1i1asWEG//fYbrVu3LvEsluHPVW5ggD908abdfff18bmn958dn8vcJkXZj4nU8pRzINZ+jx692GOlD+XL5xyGEPsAF9Tnzp019xV7yv7IB1K2bFlC2K+QkBBMmYIwVnny5KGTJ08aoxgGsWbMmDEmJERaQlzhvOAlMqAv303W7tZnanGx87C3sV9687Tz17YicK0hgLeikeMD37PwEJww+T1z1a99I7Vt2YMa1muTaki27VhLazcuoc3/raIt21bRxUvnHLzuubs39evfhypUqOAY04YioAgoAqlBAN9jRYsWpfHjx5vwnz/88APhatCgAXXq1MkYQPz1JMPvTvjd0365ynTnnXcaY0e1alZYUdd57SsCioAioAikDAE1eqQML6VWBBQBFwQOHDhAhYoUoKL85h7CCXgzegx7+wE6cfIIDX3kPdqw+R+at+g3qnd9C26voG++f48GPfgGFS5U3IW7e7dUiYqcB+Rb9wkeqVqljskHsnDJdOrQ7m6PNDWrNaJiRUpT0SKl6Lsf3qfHH37LI11GDf69aAo1a9Q+RexffvIb6nx3Bbr99ttNsuUULfZBLEpFkHhTLLIe0KkEcrgo4wRh3DuwkJWdMA1wHeAp6hIrLE1JrERxb2dq+PEAjCdBXBsjBa+TJQ5aGXCRSeZZPc9hqiLYQMAERhY2arBBIYC9OBLI9s8dT8fGs7EjIZwVq9G84SV2XollAXJQCAsTxGeL4yuBDQ6ejmT2E1nQsbe5i/OgOImJ87jQGRoeg9yeNsL+HHDJMnwIQyYFXw+sQJHuRZTAqGHQgCIdRo/ffvuVld1JhqTy5cubBNkwEERFRTnkuBoUyfYzQB4o75HMG1fXrl1p+fLlHMrqN1q6dAmdPn3anFPW4CByBoS76t79dlb2RzrO59rAOuvnyunuu5J57VtrrekkGbzzQqxnKfC6AP72AmPBXXfdxSHyHuO3nS2jBe6hFPt+S5cuo8OHD5vvAjkH+P35558mT4sYHrAGbXj0oAgt+OLfg82bNxtlQAJ7UQV4/FKQ3b3XwtO+ZxIe3tfpjCKgCFxdCEBxh+vRRx81xo9ff/2VVv47l1aumUuhoWFUqEBxKpi/BCGPW6ECXHMf7ejoy/xvySXzO11UNOpLPBZF+w9so3WbltKpM8fcDoqY+3gzuk6dOm5zOqAIKAKKQGoR6Ny5M3sKd6bZs2eb77E//vjDeDrD2xnew1WrVuXcZ9c5LvTPnz9Pe/fudVz4XXPp0qUeRYBnBzxH8P0FQ7EWRUARUAQUgfRDwKYFSj+mykkRUASyNwL4oxUKKCgMkfS2Ue0OtGvvVgoLi/B48Ffe7M+KwHjqcPM9HN/5Pbqhya30w5f/Gtpa1RvT1D+/o7dGPUYP9X2J8ucrQgULFPXIB4NtWnWj738e43EeeUEa1W9DX018h265qQcraD1/xXXv8gC988Fg3quwCbXVsllHj/x8DZ44eTTFXiLnTJL2KGrVPOXJ8Pr3fpIm/jTGhJWZNWuWL9H8nvNPiWgpXEU5asJC8Q5QusM4wYGhKIQNCtC1snnB694WvfO0UFs7sHmBGwmwDKA2/N3pE9igARkCQYciTLgZExRAIayMpZjTbOhgxXQAK9+Z2BhugpMU9PE8kBB3gYICLlNEAnslxF40Ro8A5h3MuWlC46IpLj6EjSKcH8Rs4v4h22IebalBKbIHB7GBiC058IcJZAMGbDGeCuaDmYuR04UAeLDPBF/8Hx8Ne0GtjVpkcFmSYV2Et8Iz06pVK/bsyM2hn045vDnwRxredIOXh4RJg8Lcv2csw0Q2Bgg8u3JBMW+XCfkqbrrpJk523tx4OcycOdOEMECoJqFDDeX7hg0b6MiRI05GD/m5kBPgzLjwfec6JzSORzexIXRSYz/Z21qTdKdlHHtApldffdUR+gAhu7791jIICy/USIrZsWMnzrdS2cgka8Eb/GAswYVEmZjDmKwHDbx8kitYg7XAd8mSJSbhvcjqutbbuJ0ONHY6e9tOlx5t+1nTg5/yUAQUAXcE4BmGPB+4YEiF98f06dPpwKFd5nJf4d9IlSpVjJED+Yrwb5MWRUARUAQyCgH8vojroYcechhxjx8/bkKDSnhQf/cuU6YMIWl606ZNjaHDX28Rf/krnSKgCCgCioCFgGeNoKKjCCgCioAXBF588UXzNvSBvSfo4QGDWNFZlNat3sEJyTdy2KiFVK1KPaeVi5f9SWfOnmSDSDj9Nv0rTjB+D3W5tY+DBp4Xf82bTMGsLPt9+ng6eGQvNap3I/W4baCDxt4oX+Y68/bf0WMHPXqGvP3q93T3Aw3pzr51aNQbv1GpkhXsy027etUG1O7GO2ndxmX0yRevUKni5al8Of/diL+a8I4Jj/Xc4DEm4brbBl4Gvp88hpX1gVSpgn+hvOxsurR7mNZvWkJBIXH05JNP0ogRI+zTGdqGwhHK4UKFCvE+CPwEFT3yf7DxgRNgBLLR4NLBKM6L4VkM+3CS+hb2iMQZrqLjmCsbLWAcMMMeYjiBGqGggkL4TfUQtgCgCHNmHMBWgYvHt9HZIyPYaBFIwQmxbAgJpJCYQF7HScoTC+5BzOWLNLRhDopNyMUmBQ7RFchXXBiFcA6DhPA4ynUmiqIuWYYSu8zCAzW2NjJxDRrLIATzBKPEH5cvxzIvkxLd3HeHrDwvBWuCQlm+cP7nmM8uNOAH40wsTCbRyJ6CEZSkltXPnE8ohmHMgKIdSRxvuaUd/fjjD2YsR44c1KZNG4cBBB4hUrAuIxXWso+3GntDGY/LytthGTCEXmQLDw+ncuXKmT9kS5YsSS+88AIhDAEKzoAL62H0gPHAPg4euECDfSz6JI8LmTOLDD9pWbylJ7JIX2r8nLkW0GKv+vXrmxAuMDYgZwf+6N60aZMT5kePHuV79SOf6UXDBvJJQRu89u3bZ4w63mQQ+uRq8Fu8eLFJ9onvfBbLqVjYJO3vNJnYsctgl9U+7mldasZEHvDOCP6pkUnXKALZHYF27doRLoQW3LJlC+3YsYP+++8/0z548KDP45cqVYqaNWtmlIVIml62bFmf9DqpCCgCikB6I4Dft3ANHTrUhEvduXOnqfFddujQISpdujTnvttP+P0YF37HlDbypOFFoUqVKqW3WMpPEVAEFAFFwAMCavTwAIoOKQKKgGcE8DYL4pC+9sp79PhjT1Cblt0JBoTcufLS5Cmf0veTR1PbVndwksoSDgbNGrejyhVr0ao186ll884UwQmF7SVv3oJ07MRBeuPFb2noS92pSKFS9NWEt6lwwRLUuoW7R8SCxdM4JEK4SUxs52NvfzpqNg0c2p6GvfMAfT56rn3K0b7rjsdo154tVIGNHd/+OJJeeeYzx1xyjb53P01z5v9Cw0cMpMnj1yZH7phfxblEEP7LnzBejkW2RrtWvWnukm9M+B0k1YNi1lOxKwrt876UevY1znSWMhBu2sePHWOFLit1A1mRz3UAGz8CozkDRj6mORPLHhK+lZl2WdCG7hX6XKwKiGVjBiv9WafOY5jwoOnFIlOsN8/NejsZL4u/cIaCcx+kcG4HMgHnXKZgNsyw1LKYQ2AR5WZlbKeSPMl1YCxvGhjC43wOvi5wHpCwM5d4Lfcdq5JvJJ3HnIDiL8Wysc86Y4CVGd2NCaSCPPGcgN1m8zDSxrGBJyYkluIuMAEbdCALDEJGj5wSwdx2Td0AwlmJUr9nz560Z89uE+IIf9xJ7GEYRuRZgiIe9FeyiFIbirW//vrLGDUiIiIcCm551nHvJGcF3rrLmzevMXpgPQw9OIvd40HOiDkU6YPOaicZV2TOEw6Ygwwihyca+xjogSnoZS/IgDHk7rjttttM/g14bmAcdJj7/vvvea67CcEAfnaZQLdgwQKnsGT2PVPSBi8YXWBEqVy5itNS2VNqp0kPHX/pPCxNdgi8hT9k1qIIKAKZj0CtWrUIl70gTxAMIFAS4rsal72NPENaFAFFQBG4GhDA95OE8Lsa5FEZFAFFQBFQBNwR0N8c3THREUVAEfCCAJRqMHyM+2ys8djowF4bUpo2upm63VON+j3agm7r9ACHsrqbjp88RO9/9DQdOrybZkzeLaRO9bYd6zihZXeTgLxurRbU755nCfk/Rnw4hBNTnnfKzbHsn9n09gePcXis9pQnd14nPvZOrpx52FukDf38x2e0actKqla1vn3a0X7hyY9p4JO38hv+cYQE4+3b9nLMJdf49tOl1LlXZXqYjSufvDcjOXL64JNnORb1dhrCOU1SWxrUaUvrty7gmLFlCCGukFz5jjvu8MjOmxJVFH1YZKfBuL1vZ+qYYwVqAntJBLEbQxwbPhBqKiiUlaucOJx187w+ybBgX++1zfyMfcMQsDKX+1Dtw1cCvg2ei2VQwByWOxUoMll/GcLGF+gxQRlqnDXAz1bQMW4ZvAd08swHrIznCXubhCbq6a013uSw8UtsmuMw3wBO8A7+4GlkNPzBx50XqCCzzGGNFGRgiOH5APZWSdLLMr3hJ1SZV0M5LAri+vUb0KRJP5rN8dwEsYwoQUFsPOJj4pnxZfDAvFxYBw8fwQCGNSmOZy9xIIFDjsXFWV47Ios1xb5H7C0kY1gnZd++PfT000/xW8SbadmyJcbwgQSUVrJtxjORVmrkpRAvD5wtgQGP42cqIiInFS5cxGF0AH+skXWglUvmRAbnOunsIq/zvO8ejB0o2DeQfw4Rxk+O26FDR87787MxfABPiyaQY0ufo9dee5XGjRtnwnNBTuFx6dJFWrhwvsFVDCmYy5EjFyduv4/PXNjpXGYh8wbeyIWyZs0a6znnCRi9Lly4YEJcwSMG29gxwlrZ2+JjzYtByaK1jJrWvCWnxUdWoMZ9sXjJGe2zvtryXKYGe198dU4RUATSjkD+/PmpcePGaWekHBQBRUARUAQUAUVAEVAErnkE1OhxzT8CCoAikDIEEN5l48a19GjfUW4Lf/1uE707ejB9x54TyLuBJJRlSldhL4rP3WhlICcbKOYvmUq5ckbSU4PeN14QH7z1G4359AX67JvhNG3WBMrNNFu3r6WTp47SLW160vNDP5LlXuuLl85xzo5CnGPgglcaTAzmROavvvUATf59HLVtfbsj2a/PRTwJxd0kzktyZ5/ref399Oqzns84d8Fv9MLr9xLOedftg9g7pltyrH3O16zcmhYs/I6GDRtmYmMjzEPx4s4J4EWpCGUgSnJ9O41ZYPtI1I2aEcOPB+BBwYGOeAw5LzjMFfseWKpJ20J/mzCUiH4aClK+fNtO2Djjgbd9FPOGhmVl1ahh775GNhXiJKY4mbf8G0lUfrR4U+wCGRIl8rDILrnrNBS7vNZdeFfCTO/jmfL0xq08a8kJhHOdPXvWuP+DD5LWyloozZEMHUpp0BkMEhnu2bPHhGHCGlFeY6pgwUJUpEhRQws+mMO6M2fO0ODBg9n7YKPhD0+1RYsWEWIpDxo0yIRJQeg2rIHCfuvWrfT444+bEH5JZ2DjHhsWEEqlWLFihtYuE9aK7ElrMrOFB8TCqVix4nzeIfTYY4MYQyvROCSBfDg7YujfeWcPYyyxxomOHj1ivDPg6SIhwDBXqlRJ6tOnjwlrB2OI6xkRxgxjCFEjhirrXkazQWwS3X33vew9YxnDZK3r/cQ+uM/YG8Ym5E3xVoQH5tEuWbK0eQMcsvljwJB75g+tNxl0XBFQBBQBRUARUAQUAUVAEVAEFAFFIGsgoEaPrHGfVEpF4KpBAMqmli3aeZXnqcdG0sD7X2ePkIOUjxOF+/LIAJPQ4DA6zyGJGtRpRSVLlDd8g4NDaPAj73Doqeo0Y84kOnr8EDVv1J5u7zKAypZxDpniTZDTZ45TjgjOQ1GwmDcSM16pQi26qVV3mv33zwRPkubsReJvyZkjN709bBI99kwX+mz8/+iB+9zDTd3Yoiu9+9qPVLVyXU7QXsRf1l7pGtS9kX6Y8oFRGEMh+dFHHxFCXdmLKPdkTPq4d3alo12JKOOooRS0zwkfrRWB9EIAzxjCICFMFj+WRmkuz5wYLECDtoxDIQ9jHwoMFHZF/NChT7IR4zGHeFhz7tw5evnll40nAtaKkQY1FOzPPvus8faAx0doaKjx7jjGIdzA17VgfadOndh4mdNMgb/8rGAAbZHTda1737Ji+U/vziFpxNkohPFWrVpR69Y30syZ05PIuIUzINE5vEEiI5M85WBoOH36tJkH5jgLCsKWIfmw4CzyYh4XcKxbty7ziuT1p8wauS+7du1i3P+lBg0amXGsFSOV8DETiR8woAwfPtwnhvZ1CHH45ZdfsNGquZ2Nx7acx+OkDioCioAioAgoAoqAIqAIKAKKgCKgCGRLBKxX8LLl0fRQioAikBEIQAFWvqzv5Gs5OSwKclckZ/CAfMWKlWUFZiwtWzXHhKKyy9z51vtM6KivPppPTz72vt8Gj917tnJi9U1UtHBJI4edp6f23Xc+QadOH6UNm1d4mvY5VuO6htSfQ3J9M+k9gleHpwJDSnoYPIR3qya305Rfp5kwPbNnzzZJQGXOUw1loSgMpS19oUcfCk9RcMq41opARiGAZw7PG3TsuKAUd1WMuz6nUGCDRpTzsgbjdlr0ochHIknQYM5OizOBBoaRw4cP0969ewkGDxQo7kGPeRQo9zt27Eg333yzGZNxyCDFTi9jqO0y+TNup0lJG/uIDIgxfeedd3I+mTCHvJAZ8m7evJk+/HCMycWCc8LYgCTnknxesAItEm0ilj6Kp3NgrGrVqiaRusiKMfBAeLDly1eYNvbGmLcieGIebW+X3D/U8CwJ4FB72M+TbMLDorXuozdab3LpuCKgCCgCioAioAgoAoqAIqAIKAKKQNZFIOkv9qx7BpVcEVAEMgmBo0eP0okTJ6hGNc85MlIjRmhIKLVq1pkK5CtCr70zgPbu254aNo41x9gr5P2Pn6KY2Gi6vfMAx7ivBmTIxcnYfSnmfK2/+87HqUe3gSYXycIlzm9Xe1v3yx+ew2F5o7ePt2HPlJkzZxpFZY8ePejXX3+1T2tbEcgyCIiSnHXXbsWuDLdPelJyy7zMQWlfokQJGjlyJPXq1ct4aIiRImlPzwpz8MJ3AQwyMHh06tSZXn31VUKseRTZw3RcPkTZbq9dSBxdb+dzEPjVSDoD5MIFvg0bNqCWLVs6jJiyFwwdEyZMoPXr1xvabdu2GU8YbCXnAm2+fPmoadNm5vwyLuKgDyxxwcBy/fW1TBvz4C84r169mpBQXfbGOldewjPldRIv4S88XPvpt6fsoLUioAgoAoqAIqAIKAKKgCKgCCgCisDVjoAaPa72O6TyKQJXEQIICYNQJlu3bk5XqR59cDjVr9OS4uLjqOf99Wj4uw/5zR9GBuTUuPuBRtTlrqp0Z9/adJATpz/cbxg1rH+jX3xmzZtMBw/t5pwe3f2i90SEM9zWsT+99EYfmvSz75wj+w/spImTx9Cc+akzVkSE56AyJavR4kUrTE4CJBLWoghcywhA0e2q7IbBoly5cmywGGbCwCE8ValSpYziPTlFODwcatasSS+++CKHyHrJGDxE0Q+cva2HDFD840qtETW191HOj32RpwSyFymSFFIP85D73LnzJswVvDFWrVplPGJkrZytfPnyVLFiBb9EqVmzlsnJgTPDUIQCGTZu3EiHDh0yfeEvMpjBTPiQ+yR1JmypWygCioAioAgoAoqAIqAIKAKKgCKgCFwFCGhOj6vgJqgIikBWQWDZsmWUI0cOiov1HqoktWfp1f1RwvXdj6Pop9/GUs9+9Wj82CUUFhrmleWipTPoo89fouiYKKpxXQMOu1WNrq/RhOrUSj7OuzCFx8XEyaOpOq9Hfg972bJtNfOsTvAE8ac8zknRIyML0LivXzfJ2d9+dSKH+MrntvSz8Vbs+rQkNb+ucn1asWwdDRh4F+3bt89tDx1QBFKLAOvGqUePntSkSVPHW/tQGletep0xLPhSICM3Rrdut5lcD2waMOsRiqhevfpuhgIo5B966CHjsRQc7J5HIyXyN2rUyMgmXgZSg0d4eAS1aXMTX205afdRDru0jKZNm87G2y2c6PysSZrOgZVMKCfk7GjcuDF17tzZnAGeDBYvD64oLgICF1Hux8cnULVqNWjgwEf43Hi/xAqxhPkKFSo66FxYeOwix9E99/TmkFEXDYbYB0YFyJUnT6QTLytcmLVX6dJl6YUXXjS5U3AveBnTWlvAIHTy5ElOUl6YHnnkUTMInhiHjDBkoO2rgA5r6tevb3hERUWbtVZS8wCTJ+XyZStBvdCCHtjWq1fXF+tk55D4vGjRIon7uRu8fD2jyTJXAkVAEVAEFAFFQBFQBBQBRUARUAQUgSyPQAD/IZr4J3CWP4seQBFQBDIYASTN/vrr8XRX12epZfNOGbbbipVz6fnh91L1qg3og7c858nA5vc+1JTy5ilATw0aSaVLVUyRPPAQ+WnKWM79sYFuaNKRnh082m19/0Gt6YUhH1H5ctXc5nwNnDl7kp55pRet37ScGta70YTZqlq5DofQiqRf2cgyZtwLNPKNX3mutS82PudW/juf5i+fTJ99+T61aNGCVq5c6ZM+9ZN4cz2WhgwZQr/88gslsOY0JC6BYoJYIcqeOcEBHEasQig926QwBQWkzBjG752zWPxPEP8fHcu9YM4pwvwDWEkemLyO2elI4AVF86XLcRQRHswKYWua1dBG3ewPO+tfwwCKYT6sm6XwkET5nHby3UlI4DUBUMIGsCyxFB4WzMpmzqcAjbORxPd6p1lecyE4jPL1fotylr+B+bJhICGO70GQQc6JNh07eGNflNR24wEUyehjzj7uujVCGqHYjQBo4xJPAPCQfZLj58rfU19kQ+2rQOmOC3tDIY8rKirKLIHBBkZd5MKAnLiS4+dpLzmbzKFv5yPnFZmFzleNJORYh4J1OAP6MEzIvXDdA2fEGOjsa6UtvAxT2wfmwR98BQPhLWtRy5jIYh8TdqARGVDLPReZhS41tfBGLcXeljGtFQFFQBFQBBQBRUARUAQUAUVAEVAErj0EfL/Gd+3hoSdWBBQBHwjA04MSgujs+dM+qIhmz/uZ/l23kGJjY6hs6SrGg6JB3VY+19gnEZZqxOs/0mPPdKGX3+hLrz3/lX3atLduW0M7OVn5H5O2Uf58hdzmkxu4cPEs5YjIxQaPDh4NHlh/4uRh+vbHkfTKM595ZXfg4C6OWx/tlGQ9Mk9+GjvyT1qy/C+z/rV3H2SPlXBWJEKZHE997no6TQYPCFOsaBk6cGCfiZmf3BvZXoXXCUXAAwJQSEN5DCW2KLldyTwpuIUGinLMgw8U4p4U0RgTxbfsJetTU4OHp3088cK+kBHeAggDJftDZsiLAhr72f3ljbUiC3hAyY/avl742sewzleRn3GREbKLUQPrXHmhL/cBdGiLHHJG8HI9p9wvWQsaV94iv6x35SvnEDr0wQ8F/IXeDKTxw87PVc40stblioAioAgoAoqAIqAIKAKKgCKgCCgCWRgBNXpk4ZunoisCmY0A8nmcPXOOKpS7zuPWe/b+Ry/87z66ePEcv4HMCkVODr5h8wo6dGQv5ctbiBrUaUXPDfnQ41rXwdo1m1H3TvfTlBnjacas76l9215OJFNnfstvZEd4NXgcOryX3hz5KD3Q+3mqWb2x01p0brmpp7ncJmwDMRw269z5M7YR9+b3nJsjNi6GDSdj3CabNrqZcO3bv4N27t5El6MuUZnSlahqpTputJ4GYDRaumIW3dD0VrfpPHnycWieM3T8+HEqUKCA27wOKAJpQUCU3d4Uyd7GsSeU2lJEwS38ZBy18EAtbft8erXte2Mf9O1jIgtkFXnTurfwgbLf09mwf0qLyA3eKGII8cZHcIUHi/28WI++8LHLJ3Min/CQPex8MCZGErSF1r4W4yiyLjmZLWrvn+Bj52/nZx/3zkFnFAFFQBFQBBQBRUARUAQUAUVAEVAErgUE1OhxLdxlPaMikE4IXL4UQ8WLVjAeHK4s4dXwIhs8alZrREMfeZfKlKrCb1KHsmL+BCv8N9OEyR/Q3AW/0cKl0+jBPi9T1w59XVm49ZEjY9vODfTDrx/TqTPH6a7bBzloTp4+yvky8jr6rg3k6di2Yx2HpqrhOuV3P5S9M5AjxFcJ56TiVSrVJuQXqVm9EcHLw7WUKlmBcKW0/DTlU/p70e/UrMktHB4pSZEMPqdOHjXstm/bRWXKlEkpa6VXBLwiYFeCeyJKbt6+Rmil9jRnH8uItuztqjDHuCjKZV+hlX5qa+EjtSsfb+OudK59rEvNWtc1rn37PvY5e1uwwpi0sc4Tjeu4nX9a27Kf1MLPtS/jWisCioAioAgoAoqAIqAIKAKKgCKgCFx7CDhr0a698+uJFQFFIAUIHD543Cjfozlhrb0gzNTwEQPonjufMDk4kEgcIadycw6LkiXKU4tmHejTkX/RrN/2U797nqMmDW62L/fZ7t1jiPHoWPnv3zT2y2EO2iKFSnGOjLy0/8BOx5i9seLfuZzcvCHlzJHLPpzCNud34NBVvsoO9uCoWK46ffHdW8nS+uLjae7osQN04OBO+nrCO27T8C6B98y6tRs4wXRVt3kdUAQUAQsBu7EDI1COYwxeClKuRoW5yA057UYGkdlTLWv8pffEw58x2UewlP2kTm88ZT/IBt52/phDCK+U4OTPGZVGEVAEFAFFQBFQBBQBRUARUAQUAUUg6yKgRo+se+9UckUg0xEID41kY0ZhOnP2hNPeTzzflT0ZKrFB4xmncU+d27s8SEUKl/A05XEM+T1q12hKSAQeFX2Z3h092CgAK1WoSZcunacJP33gtg5Jvk+cPMIhp/wLpeXGIHEAYboq+vAUQbiqS5cucDJ0y/BRsEBRb6xSNf5Qv1cpgvOO/MMGH9dy+Mh+ys9Gj/Xr11LNmjVdp9OtL0pMMAxAWB0oGJE3mBNqB3CybuTtTuBE3RhHwJ6UXBY1OFuFOZohJEtH29sVj3m+OFuEgwbq6zgWD7JBPCMIV6LX9iaXRcrnQMMs5KVcB3Im9TgecpUBe+LivOtMJzSgs2jjeS3mTWGhwDeWE79b/1l9d1mwv/vF+dQTOYERNmRmiaytDfTTFwKiKHd6hvmeodiV5va2L35XYs4uu6vcdnk8ndU+n5K27JkcLq7zWOc65m1ff+UVOk98ZA7GDvvliVbHFAFFQBFQBBQBRUARUAQUAUVAEVAEri0E1Ohxbd1vPa0ikCYE8kYWNHHg9x/a6eADI8RFVvzDkyOjyr09h9D+gzvo7NmTdPLUURr45K2E8FYR4Tnp+IlDbtsuWzmLChYoRgXyF3ab83cgmj08znHCdiQ791Y2b13F3hYFaeWav6lT+3u9kaV6PCw0jG7jvCb7DmyntRuWOPHZtXeTkW312pVUp45/OUKcGKSwY96kjos1Ss2EICRmTqAQViBD+R/ABoIEDr+VwBr/BBhC5HL0E3X20Nu7XDEsB3T5KEFQmsZwomPwxMVjrhcYcC54HmfjA2qhxVowCuIZvuLYYhCdaCCI5dp53yQZwSmW5Y3ls7Adh3mzBwDT48Jy14uHeF/Oh8D0Zj9e6yqDNc5r2QLDSPE8DCWe8cEZcIl8MHRIGzgSDyTEx5kxZuLACnJo8Q8B5KmAMt5VIe9pzD+OGUslynzsAhm9ye8qBdaltaSEhzc8Xcc9ySTYp5TWlV7kTQk/T/LomCKgCCgCioAioAgoAoqAIqAIKAKKQPZCQI0e2et+6mkUgQxFoHGzWrR81Syat3AKXWAvCJQ583/hxObVM3TfXDnz0GvPf0UtmnbknCJlKZo9Pn789RNqXP8mWrV2oUmWbhfgr3k/UqXyqc/lAV7jJ75rDCf167a0s3ZqHzm63+Q3iWVjQK3qvnN/OC1MQadX90cpnI07k6eMc1q1bcd6Kl26LNWuXZvy5vWe28RpUSo7UCwiGXJ4eATnaQnhK5ivIArmC4aZ0KBgSoixjBHGcADjgTEgWDVbFHjeuohr9M0YGwXi+QJtfCzRhcBwOhMaQqcpiM5SMJ1N4NrtCqYLATzHbh3nDF0g0+LiMQqjywmBFHeZwwHxFjBgwP0jMHE/2Zd4L+OawXU8yx3IdQDGeK8EvuLimXdACO/tWYbzvP8ZpjnDtJYMkDeIzscH0QXeH/Kf4ATWZ0IDKYotGiYdC1uHYKxxx8cyigQYIlZwc80j/B/Lzf8FJYRwOwTab3P30q7WTuVDkAWW4TnFZQ9zBGW4jKNGuVoV5CKnQC1ySt+1Fno5F4wj/hpIXHmlpS9yovZV7PLaPTPs465tTzyFBnthHmdGQnMkjUdbiyKgCCgCioAioAgoAoqAIqAIKAKKgCKgicz1GVAEFAG/Ebh/wD10/NR++mDUaLr7wQacpPwUK5tCMtTLwy5cy+adCBfKxMlj6BR7fdS7/gZ65pWeNO3HnQ7SoKCQNBsh/mVjSmRkAQdPTw0kVz94eDfd23Owp2m/xlasnEs5cuYy+Ue8LYDhY9Qnz9CWbaupaqU6dP7COTpy/CCdPX+MbrjhBm/L0mVclI5QKEKxCLUxLijlQ1jJHxzIY9FRdPHYZQr2ovM0nhBO0liErI6mWNZRwtvjEieEz9ftAUqIzMfMQ1mZ6UV5yYrr6T/8SDNnzWYaVnBzX7YN5jBStQqE0B2lItn8wYGpWCEax0aPuEAOf+OFHbxKjEMFyxLABgvYR2LCQyiy610UWLSyCWHlJDo6WMNVAHtgLJ0zm76f+KNFwushSxwzDeX9K4cHUs+K+SgPDB68P8JvuRbo4XHWoGD2BDFnBmersOmGYsICKEdUoosHMwd/XFr8RwBKcnmOpfZ/deZSiqzJyQk6e0mO3k57NbRdjROu5/Elo9DKmVHLGNbJuC8eOqcIKAKKgCKgCCgCioAioAgoAoqAIpC9EVCjR/a+v3o6RSDdEXj22WdpwP2P083t2lJUVBTVrtnMrz3Wb1xGf875kXbt3WqUUm1adKNunfr7tdYT0V23D2KFdqxRene8swKN+vgZemLg24a0VvXGnOtjFJXhPCPICZLSsm3nejp+8jBdz3x8lYOHdhPCYKXFy+PXaV/QqdPH6aWnxlKJ4uU8btf51j708Rev0L9rFxmjx9SZ31JODru1eNksevzJCR7XpNegpZQP4Nwll+j8+fMcPYo9IVipj2wWIbFBHAYqnmIuEYWy5SKEPTbcCmvo3V8AtxS28HwI5tBYUO5fCgqlfDVaUUC+QhzeKpw9Htw4mQE2H9DB35fR0qOcYB5sbMyD2QiRG299F4TRgQ0ixtDAQrExJATxqlwLhpgHKhbF6gTxDmx8iKzUiMLL1uUxD5YKi5LXx8jLDwAAQABJREFUJtCx5XtYFus8Adw3LcYkLD6aAvOyIYPFDGCPkyC2rHj8B5c3T2B6dgmBAE7FOJ8wxtY5bVPm3La+hyaUwHib3l7EC8A+lh3aovBGDYW3XekNDFwV7FfTmSGfyOsquzc55byYl7XeaJMbF15SC70dM/sc9kNf5v3Z375e+LvWyfGx8xBaqV15aV8RUAQUAUVAEVAEFAFFQBFQBBQBRUAR8KiDUVgUAUVAEfCGwJG98fTwI4No2/bN1KZld3ph6EfeSM04koqP+2Y47WFjRz5Ogl66RAVO7BxHG7f8kyajB5gHcVglVgnT4IHv0PARD1OrGzobI8yw576gx57pTK+9+6DxRAkODuWwWGUoT+58HKIphwkhFBjIXgq8PpA9GMDnGHtOIGTXth3rKCeH0wri+RfZEOGrIL9IsSKlfZEkO1euzHW0c88vXg0eYBDC3jR1ajWnZf/MJhh7jhzda7xQipTIQxUqVEh2j/QggNIRQZdMnglLtc9sWfnJenUo9E0eDk8bWfYATzPG2AAviyC2S4TGQUEvxgNusnEFicLdCltK4tl8EMeXUXraSGCMgYmCV4KB8a4A11DexOTZcGXGZGYPGCV4IYww/DhQDFtLEgIjmAv/E+nR44SNG2YLTurONPEcCssqvCfHyUIOj7gEXs8Mw5gXbBowiHi0n/Cwp2OCXzDP4TJJPzBgOyu63oo9dJCdBvcQHjvZSVksynCp7edFW5TzruNXWz+5e2I/H9rJ0afkfHbernxlTsal7y9/O73w8Het0AkPT+tlTmi1VgQUAUVAEVAEFAFFQBFQBBQBRUARUASAgBo99DlQBBQBvxGIupRAs2Ysp78X/k5tW91Ozw350Ofaxctm0qtv3W9yQYz/ZAkVLVLSJ31qJ2+5qSd9+8P7NOztB+nX7zYaNqPf/p3++fdvWrN+CW3ftZ4OH9lHe/dvM94hYWERxtBhQiixAhE5OS5fvsB5K8JZxtKcK6Qtdbj5br/EOXn6mF903ojKs9Hjn1z5aObsH+iWm3p4I6PrazShaX9+Z+bPnDtFp9k75LF+fb3Sp+cEFIsO5SIU71DEO7J1o8/KfmyY6JSAphSjpzeTMmKreTKWLQIhnHg8IYAtH5wrI5bYy4NzWLiHxLLWJSBOFMJIoeYCAwMKKhhkYPiAh0cMWwiC2JgRyiG4EIYKaTHcCssFLxNHGoDEMyWYzbEHeFv8ndaacRwKsrBBxXiRWH0gYf3HHix8pvjAOA7hZXmawH7iCgUMSW6D2IwJYShh8wvbXWC68a+YhPOJHh5Q+DvuGy+3ez14UiD7t8PVQ2X3khDjBsZQcL6r9Yz2eyJye0LVTmeft99X0KTHOT3hBd52/q59u0ye2qCXkloZ7fdYeLnW2McXjq702lcEFAFFQBFQBBQBRUARUAQUAUVAEcj+CKjRI/vfYz2hIpB+CLAOa/W6xVS9an06duKQT77fTHqfVq6eT61v6ELPJ+MN4pORn5MTPltBHXtUpD4Db6CvP15oVjWo24pwSYEnx6VLFzhM0xk2dMQkhseywssEcx6QsNAIKlXSf8+JooVL0aEje2nB4mnUolkH2SZFdelSFeno8QO0as18n0aPTVtWOnKMrNu4lL1m8lOXLp1TtFdqiOGF4FBYsjHA8mRg6wYr602YK6PY5ATKifpNDyYC79sycTAnMkdB3g24RISCH7t+sE+CJ3ODoY2JjTIOGEYJKxYDyMlLrTBWrATlPtsbrA/YRxLlMwxsHziJmYLhgkNbwYBhJEpAdnOeNB3bAkMvzLhmmYGJVTAOA47Vy8keRiihxnTBcyC3pmyfWOOhJBKyROyB4v8/1aL8hbJYFMZy/7Kbl4ecC+iJgh1j9nEPyF6xIbuMyQkhtK50cjapXef96dt5e8JL5mUOfdcxT/sIjcylVkbhg1qeZ+EptdCgn9p9hJfWioAioAgoAoqAIqAIKAKKgCKgCCgC2Q8BqIK0KAKKgCLgFwIhnFQ5P4eoKligKF2O4kQOXsr470fQ7zPGU7UqdTPF4CFitL+pF+3mMFrIeeGp5MyR28hetkwVqli+BlWpVJuuq1zX5MlAPyUGD/Bv2rCd8Rj5jvOHnDl70tOWyY5Vrng9FS5YghOi76GhL95hwn65Lpo1bzItWjaDOt3Sm+Yt+M0o+W7reqcJVeRKm3n9RK28o3JX5/sji8mDYdkKmJwNUPzpm5OlzAdv38rORGMCM/NiVgALa9IngUXm3ycYOTMTTw7jROIfE+9Uzqyd6KAExiWGDiiLYeRALcprwUtqJwbZpHM1nk3uTVohTo+zibEAvDzxw/OD4mnO17jwNYt9rJd5f+rkDB5yBm+y+rOH0igCioAioAgoAoqAIqAIKAKKgCKgCGRPBPx/fTR7nl9PpQgoAilAgNNcUI1qtQlK/pLFy3NIpknsndDTicPSFbNoBo9Xr1KPHur3itOcv53TZ05wku6Z1KGdfyGmhO8jD7zO+TG20LS/JtBNrW+ncA5jlZGlXp0WVGVhLWOweHf0YHr68VEmb4i/ex49dpAKFypOD9z3Is2Z/zOt3bCUXnmzv8lLUq50VdqybTUdPrqfjh7bT/XrtKKO7e4h7BMdfZkeefQhf7fJZnSWScRVyXqlDnm1ySGKYCiMIVt6K4Sjo6Pp4sWLjjf/7bgHsntN7ty52dAC/5nkS0xMDHtdnU+e0AuFHfuIiAjCdbUVu4wpvRcppfd1dsjh63kQOWVPoQdPjMm46x6yTsa90cm8p9qVB2g88RGZPM154qtjioAioAgoAoqAIqAIKAKKgCKgCCgC1y4CavS4du+9nlwRSBUC111XjcqUrGwMCnv3b3fjMfn3cRTFXiD9733ObS65gZjYGBo99jljtIA3yQ1NO7ARIW9yy5zm33iJvTxYSRcWGuY0nlGdQQPeoDdHPsrJxffT4Odvo/vvfZ6aNGyb7HZrNyyhv+b+RPVrt6KypSvTs4PH0MIl09los4l++eNzWrFqLkWxcQOJ0vvd8yx1ubWP4Tnr75+pXdsulLdA5pwv2YNcAQJ5G/0KbG22hNIVCljUly9HXSkxzL6QQ/AQrw4RKL2Vw8gX8v3339P48eN5C+yL+GFSAozR4e2336KaNa/3qLQWStSQe8OGDfTkk08SjB9ByOvCYykrSc6qffv2pfvuu8/BI73PnjK5rPPJGl+yyJlRCx1qaQuP1NbgK7ztfGVfO1/My7h9jdC4zmEcY3aPDFknc/a19jMJL5lHbZfPPg5a4Wvfy06jbUVAEVAEFAFFQBFQBBQBRUARUAQUAUXAjoAaPexoaFsRUASSRSBfoUDq3XMw/e+9R+jkqaN0/sI5ypUzt1m3a/dm2rNvK7Vu3oVKl6qULC8QHD6ynz0cltBPU8bSf9vXUo6IXNSwbmvq1qF/ig0e4BcWFo7KFITg+nfNQqpb+4YM8/rAfq8++zkhh8nXE9+l9z9+iirNrEEP9X2VMagoojjVf8z4hqbM+Jpubn0HffHdm0z7CpUre53JC4LcIH3uesrQnzh5lArkL+xY+9L/+nCy9VD6/PNPHGPXYsOTwvTK4ZBSRX36SWpXBntTGKffbsTGzCj65ZdfaMuWLYmh1dxDIc2cOZOqV6/B875/vYC8ly9fpp07dxq+wcHOSdf9kzvJ6HH69Gn/lmQwlf3ZtCv5vW1rp/dGk5px+7Phy1AgMoJeQqNhP9c1djllDYxgCKFmLzJn3z85fpjHOlkr/Ow8XOURGq0VAUVAEVAEFAFFQBFQBBQBRUARUAQUAU8I+NZKeFqhY4qAInBNI5CvSCDVrF6PvROqEDw93hr5CA1/8RuDye69/1FoSBgnD2/tF0bwbJj0y0ecFP0gGysi6LXnvqJWN6Rfcu64uFh6+c2+NKDPS3RH14wNB9W75xC6qWV3Gv/9uyb/xhPPd6WcOfPQ3bc/bhK/581bkNZtWEZ/zfuR31qOp9y58prk5a8//zUbPKp6xEsMHjt2baTxE0fQVjYKvfbyCIrIFeCRXgevHQREQe1JWZxRKGzbto22b9+eqBBPMvZAFiiloaRevHgxPfjgQ5Q3b/IeWnalNi9NlwKersrzdGHsBxO5JyD1JQNklCJtX/RC629t5+nKV+bAS+ZkTPpS2/cDDc4nBffb1eCBOaEBD+GDGuulDzpvbcyh2GWy01qz+qkIKAKKgCKgCCgCioAioAgoAoqAIqAI+EZAjR6+8dFZRUARcEEgOIQof9EAuv+e5+jRZzrSiZNHaPPWVXQd5/BYv2k5e36coQrlqruscu8uWf4XjRr7DBUqUJxKlajIhpPxFBGew50wlSOLl/1JC5dO5aTYAVS5Yq1UcknZsuLFytBzQz40ychnzZ1M02dNNB4sk36JpQsXzxkjSE72ZDl4eLcxhNzSphcdZ/zi4mMoJCiUcufJb96QR3iwk6eOmKTsyPOxZdsaKlmiLLVo0Zzuf/iOlAml1BmGABS8opzNqE04sI8T63g2mAXEBVJgEHs5ZILtC+fDhbMuXbqEzp6FRwUU2PCyCCB5219w2LNnL+3du5fy5Mlj5IbC2pPSGvQYl9pOB57oQ6nuirHwstZBOW7Bgz6uzC6yJ+rUeCN4Mhyk5QzAy46l8BI5pY9axgRT+5yntp3OdQ/h5Q0D+1rwdu1jDLJLceUv41orAoqAIqAIKAKKgCKgCCgCioAioAgoAv4goEYPf1BSGkVAEXBCIH/hQCpTpgp7TzxM3/88hkZ/+iJ98v4MTmKc1yhBUfsqBw7uordGPUrh4TnZWFKXHn/oTV/kfs8hx8Bn499gD5RttP/gTrp0+QJ17/wAXV+jqeGxYtU8Wr1uER07fsAo2CLZyFC6ZCUrcbgXbwu/N7cRVq/agI0aDahz+/voywlv0XLOz3H58iWmYOUxK0fzReanlavn0z//zqPomGjOhZCDDUVV2YB0lD1lIoxxJG+eglSmdHmqWLEi5cobyPk9ztHoD0fYdtHmtYKAUeWzPpifHiLOfYGE4Zlh8AC+UGbjQt4NeHGgiDEiLCyMKlWqZHJzmAn+OHPmNK1cuZJq1KhhfsaCgz3/miFK7xw5chjeAQFJBgsozpHgHDQwgIgiHXKAH/aFghw6cuGDsG9oi9Jf5MmsWmTMrP287QMMBBOhkXuIvuuca1/WoMY6FOFpp7W3hc4Qp/BD1kot+6WQjZIrAopABiHw//bOA0CKIuvjb9kliWAAE4KygooJRcSAqKicOYFnAgWzZ87xzAFMqJ8YMIczY46YQJATM8oJiqeYwBxOQQR22f3qX8Obra7tnumJO7v7Lx2qK72q+vVMzc57Xa8WLVokzz77rIwdO9a4LlxPhgwZImussUaBeqNYEiCB5kLgrbfeki+//NJOF39T7L777vZsuOYyf84zMwJffPGFvP3228lGW2yxhay22mrJNC9IgARIIIpAuDYiqjbzSYAESMAQgHulynXLzdkep0j3buvKiGuOkcEHrScbrLOZMXwsl3bHxo23n2f8+C+Q806/1bjCGpA10xdffUTmfDfL7DR538RfWCNH+6WXM4rRlrLsMp1kyN9PkB2331e+/uYz+edlw+RHc9g4FLatWrWRjXttJTM/n2ZfDxjDzXo9N5Ejh58n2K2RjwDXXWPuukjKjAK3a5c1ZN+/D5VtBmwtG/dZR9q2M9tlloTq6mqZPn263HzzzUaZu549L2HOnDny54IfZPYPH1ml8g477CD/+Edh3XPpeBiXDgFXsWxHZYwdLcwPw2IGHQPOzPj888+TRhAoqSsrK+378oQTTrDGBoyrqqpaJkyYYBVjMEREBbTv27evNZjg2nxMkmHu3Lmy//77y7Rp05IGDxQmzrO53ex42toq4mtrYQBKNIRxBHIwXh1zUmCKC7TREKedWz+TdloXcZx+3Pr+tT8GV55eR9XRfNTTur58P402UXVVHtpE1fHlaRptw9pnKkflMW48BGCc/P3331MOuGXLlrL00kunrMPCwhN44IEH5IILLrAdvfHGG/ZcJyieogzahR8ReyABEkhFAH9D4bcFAj6n7dsnzl1M1UbL0A7tNeDvrnbt2mkyr/Fjjz0mDz/8cFJmly5dpF+/xENqycwSu/jll1/k22+/ldmzZ9vz6Lp37y544QEehsIS+OCDD+SMM85IdnLyySfLSSedlEzzggRIgASiCNDoEUWG+SRAAikJ4EDzil5l0q79ztK3zydyzKk7yyuTnpDll10hZbtvv/vKnHkxTkaef3/WBo+/FsyXS648UubO+924gPpE2i3VQXqssb5UVS+SzfsMlO5rrCu91tvCjgOHqx996k7Sc62N5XLT56qdK20+dpt8/8M31hXV9z9+IzM+fV+OOHE7Od8YYjbru33KOaQrxDkljz9zu9mdMV/OOesCOfq44ZFN8INkww03lDFjxiTr4EcHDnnGD41sFICuMhHts5GRHAwvGowA7qO5e+Y/E4xuH1d1KvriDEt3TkDZ9dNPP9r3EsYFY8O6665rdyLh/I5ff/3VDgg2mQ8//ND+KFx99dUjB4n3JAyQiO08nZ0eqkxDOco04Fr7RqztUa7Gj0ze6yovbhvUj1tXx5xL7PeHNIKOQdMaI1+vNUYeXriP2lbb2wznH7TxZaSqq/IcESkvVb5W0nRUH1qPcdMj8PPPP1ujZ7qZ4TtwnXXWkZ49e8phhx3GHQbpgBWg/J577glIhdJv8uTJMmDAgEB+qsRrr71mHjr5MVllp512SrpATGbyggRIIGcCf/75p91pq4KwG/eVV17RZNp40qRJcsghhyTrHXzwwXLRRRcl083xAn+rvPrqq3L55ZcLzrYLC9hxsO2228qxxx4rK620UlgV5pEACZAACTQQARo9Ggg8uyWBpkCg/XJlsmaHCvn2izIZfeUzsss+a8hv//sp5dTu+NcIWc4c6r3l5jumrJeq8M5/XW4PUV+tSw857bhrZJv+u4dWxx+q5408VCpXX0euG/lEoA6MH3j16b21zf9j7m9y/Ziz5fQL9pVzTrlRdhq4f6B+3MS9D10jL45/2G65HXPLaFlr7e5xmybrQembyxOuquBURXBSMC9IIAsC+BGNJ/JgiNMARTWMdfhx17Fjx6TRA+VwcYUf2YceeqhWD41V2a0xHHj5AWX4HLsBeYmXmxv/2pVX13f69pnUTS8tfQ30544VLdw8HY/W0VjraV03P12vbl2V77ZJV+7W9a9VnspAWvP8ukyTAAhg7YG7PLzuu+8+OeqoowRPd7Zt25aAikSga9euMmvWrEBvmSr1br/9dnn99deTMjbZZBMaPZI0eEEC+SPg7zjAroRMAgzSblh55ZXdZLO7xkNo+Ft24sSJKeeOs+xgIMbrmmuukb333jtlfRaSAAmQAAkUj0DCL0Tx+mNPJEACTYxAi3KRLj3KZYNNO8jRh59pXUvN+uLjyFl+OP1Nc8ZGYhdGZKUUBTj34s33XpH11+krI86/L9LgARFPv3CPUcZ+L2efPDqFxERRB+OW69zTx8jg3Q6XUTecJlPefjltG7/C3Q9cbQ0ea67ZXZ55bmxWBg9fZrZpGDyoVMyWHtuBAJTTeH3zzTf2yV7X9tCmTRtr9IBxzv9RvHhxjXWBsnDhwoKArHtfl2UsX+cEwyCuVVYq5TvqNUQI69fNw7Wb1jHqnDSNGOuBrgluvsrQWMtUhsbgpcZU1EnFS2X4sfbhx349pkkgisAtt9wiV1xxRVQx8wtA4PDDDw9I3Wabbezum0AmEyRAAiVBAN/N7pk7MBzjXJ644aefgg+urbLKKnGbNsl61113XVqDhz/xU045Re69914/m2kSIAESIIEGIsCdHg0Ent2SQFMj0MHs+tj3wIEy9ok77Pkaa1SuEzpFnLfRbbWeoWVxMj+e+Z707LGRnBXDkPHIEzfJButuJqt1XTOOaFvnpGOukM++mC4XX3mEHLTfKTJknxNitZ04+Rl59Kkxstrqq8m/7r+9YD5w4wwmTLkZp53WgVJSg/n9ZBWreLIWbowQzFEK0qLGuMwpW2wS1bJUeUtZ/KdIteOiSNtDEmTgHxzAXd7SfO0kddW4gO3duCpaaHy317aSxWU1Ul5r3B6Z3Lp6SCRCTU2tGcdy0qVLVzMuiMXT4igzh1zX/mV2yLSQ71q1laVr/pIW5bVmTMb4g7MfnF0EqF5h/MW3atVSWrQsl8VmCJBVYepVm07nL7WMEYwfiXUc0ENYgN955YLyslqjHDbyWtRUG/lVInPLZJGVg8HWlwCWOJy8leFSiwPKTUjMx1wYQbWLW5uxgZEJIe0TBYX5V9l++OFUMyYYCMAp4dqqU6cVpFu3NYyRs5VsvvkWApcIifoJV0o//viDzJkz255JU2buQbqQeMsldjbgHut7UOO69oCQOwgda53c6CvULVbw54u+/TyMJSofZaiPVyZzVJlu7MtCGiETHjp2jbUtzmBRWa6bMpvJf5odAbgGGT58eGDeOEfo448/ruea5a677pKdd95ZNttss0B9JgpDAGcovffee/asJuz6IPfCcKZUEsgXgVVXXTWwOwsu6eIaL1w3dBiP/1BLvsbYGOTg4OzRo4MPza2//vpy/PHHW8MvHgT5z3/+Y7+jnnrqqeSU4JZx8803T6Z5QQIkQAIk0LAEaPRoWP7snQSaFAG4wFlvg7WNItkoeyNCdXWVzDCGi2xD/y12Nq6xdkrbfOq0yeZg8/nmIPPM3VQdd+QlcsIZe8jkt8bJW++Nlz13OVg222SgOTsk/FDV6Z+8I6NuPFVatS6X226/SZZZxijNGzCoYjEfQ9Cnu/Gk2Pw/55uDtMUaCVpWt5Cq8sVSYcwEfyxaKAur20jLUOW2UcBCZ2x0/sZOYq6h7EwokauNgaPGKGfNM/cyv7XJ+6tCypaxlRK2kJAJYG5HHnmUUZAdbEth4EEwvchi81/r6oXSylhgaloY80WZ+YqrbW0NNGL7tVVt7cST7+XmXAijVDb/QakvZk61NcYIUmHOkmjfwQwzvbIeytv58+cvEYx5GXkmqlhcJX/9tVD+rKmQKjPDtmZLlHnWXgfgxAljSJVhoVwgxeQasjXyv1YLZKm/YFwyuShA0DiRKui/NTWLZcqUKYJ5Kmvcg7XXXtsejom8/v37mx+G15v5GkOTvR+11sXVrFmfW6NHnAFGKek1v04GJh8PgK9ohwyMPZ+fj7px5X6l49VxIkYeXsre7cWfh9s+rL621XrpWMStp3L9WNsjH+Px0359ppsvgQEDBoi/o0BpTJ8+3Z7n8d1332mWwPBB5XsSR8EvOnXqJPvss0/B+2EHJEACuRPo3LlzQEgmRg9/p0dzNnp89NFHAY44X+rRRx8NuFesrKyUPfbYQ3bffXc58cQTbf3HH39c1lprrUBbJkiABEiABBqOAI0eDceePZNAkyPw5ZdfCp7O/Pzrt2XLvnuGzm+1VXtIuVWMhhbHyvSVfWGNPvr4HfP0fGtZc40NwopT5vVcs7eccuzV8txL98nO5myP9z6YKDffeaGs3WNDWbP7Bmb3yOayWpc1pVPHleQTcwD6NTeeIcstt5xcNvJC2WCDzPtLOZgGLFSDB4YAv7ZVVVDfm/+MgaCmukJqzE4KqamSMnMGSUtTx5gKzL94BZXSRmebCCauNU9GGb2zUYAaw4CJzT4MY6owRo+FRq4xOiBYo0GiRei/7du3twp3V2kLw0Wt2XViZZs+FsM6U1YuMM6gr1p0tiRAkY96GCcMEdhdUmNeFcYqU2ZeLcwAaivCDBQqoS6GMUDdOBnV9JKptzBYTB8taqXtMuXSzhg8EqYVBYH2uMYgMDjTr9khgvlAMYzxoqS1+bfNAmPwWARjjMkwruRs0KZLkoWM4N8ZT/lCaY33g45xq622sgeJo+9u3boJDi3/9NNP7fhRF0zw4/Bvf9vB1ItmqYpw917mYz4qV2PIRB+lFtzxuWNEPl6ZcIkzP7c/le8yccvd8bh1cI16WtftV6/DyrSdzknr+rKZJgGXwHrrrSeXXXZZ4IwgGELiBHxv4Wndzz77zL5fu3fvLpWVlWYXXqs4zfNSB2OAixkNcA3YunVrm/TLsKNSx4b1du7cudpM3HZYX90zlpKVzAW+H9Xo+fvvv9u5w988HsaA25suXbqYHXrhP//mzZtnDdyuPP8an9sOHcxDARHBnxOq6XekNvntt9+MYfx3TdaL8aR01BjdylhncGYBDhfG3574LurRo0dOZ6K58nO5xkMAn3zyiX3/4ZwFHCiN9x+CzyjsQRm0d90ShdXR8eF94v69hvsTZ33Nlp8/fh0HYswVO2ARcN/x2cNvAwS8//D5w3tZgy8LO//inGnnt3M/Hyq7ucbY6eEG95wOf13BvXLPAfHPAEl3fg/uQ77XWKwP+Ox8//339rcVHrKJu1PFnXeu1xiDG4YMGRIweLhlf/vb36wbLKz1WIfihlz5gRU+X/jc6Av3E4Zq976mG4//eXLrZ/qZdtuGXeO3JNzm4n2D74Hll1/eng+INTLOuu/LxHsau0LnzJljv2uxcxTfA6nWTF8G0yRAAk2bQPhfvU17zpwdCZBAgQjA5cT1118vK3deXlZZvVy++yrhwsTtrqp6kfxnxltuVkGu53w7y/zB01F+n/uLdJXED81MOtpp4H5mp4g5wPmZ2+WQIWfICUeNlJmfTZXPZk2XV1571BzGvqJ0MQehv/P+BFmwcK7ss9+e9mmfTPoo1bqqsEyMDxr2ulBmjAn2BR9OxlwBA4HZn2H/w3VCXV9XH0p9lVBmiu21ZpgYLdDf4hZGq2/dURn3VmhjClDmB1WYan7dD/syqSpraV1UlRn3SC3R2hgdasqrbdUWZpQaWmAHBwaDYDqC4QM2BYyhBdw4oS2sDNgpkiagf1UwGctFcrbYQVI3NszF/KfztjJ1diZGAcqg5DaRliCrzBhurHsow92m0TZ5gUT+A+4Hxo74gw8+kNmzZycVKsiHUm7gwIF23vihhB8WvXr1skYPHQ1+hOAw86+//ka6detms10ewfcY5pmYdaLvurTmq9w4scrWOE6bUqijc9Vxa1rjXMeociEH175ct9zty6+r9fz22kbL/bTKQTtca1rrMSaBKALbbbddoAhKfCiFow40hxL8nHPOkbfffjvQThM4l2LEiBHWAKB5hYo//PBDGTx4cFL8mWeeKcccc4xNv/HGG3LQQQclyzBmHNaOgDlinBp22GEHue2222zykUcekXPPPVeLAvFrr70mlZWV9kDd888/P1CGBBRLN910U+iTyIccckgkMxUE5eObb76pyXoxlNw77rhjvXw3w+Xh5uv1888/LzB2RQUoyi6++GJrWA+rA+X6yJEjG8TFDBSQp556qrz77rv1hrbpppvKtddeK3hP6HsAlcaOHSsoc8PVV18tOABew4MPPij9+vXTZCAeNGiQNfxoJuS7bjc1X+Nc+aW6x1dddZXsu+++9hyws88+276PtV/EMGiBgb5HoPjE3xNugAIzncIWnwHI17Dnnnva3x+abs6xbyBwd2/g/bntttsm8YD9HXfckUzD0KAB96rYayzWuEsvvVSHkIwxlqOPPtp+bqDcL0ZwDYnoD0bhVGGFFVYQvOKEfH1HvfTSS3LGGWeEdomdKVhXsD707t07tI5m5vMzrTL9eNy4cYJ1DXMPC7jHMCwde+yx1tgVVsfPw2+U0047LVQmvmcuvPBCGj98aEyTQDMkEP34ZTOEwSmTAAnkRuDAAw+0T+OMGTNG/qyeJSt2qb/EVK7e0ypNP/o4XBmR2wjqWi8yLpfWXbuPTJ7yQl1mhleDdjtUDjvwLHs4+dAjN5MLLz9C7h/7f/LzL9+Zcz/+I088d6f88PPX0n/rTe0P8AzFl1x1/IGPF5SRiKGcbGF2KSBYBafRS8OggHLszoDuHUHPbLB6ayjwob9OvnABs4KRY86mgInBnOxhY+TCrVQL09A+F2hktzHNW6JvFY4OnIBxuC8tgkmgtRlVeVm1ca9mxmYMKItN1zjTY7F5wbVW8oVdCyZdC1lGQLkxfJhnpOy4EnVNPnaKxAyqwK01hhKc5QFjEP7DvhhwqrbbNIw8iAy8EqyqTf84S8SMfEmcuK5BvmmLsz4w3mQAmwg+yTo5XOh7AE9pPvPMM/apVBWHH5swcKy44gr2PaIGHyjncF/AAgH5MIi89tqEZJ6WaawyEWufuLbvNROH1UN5VL6Wabn7PlGZqFNKQceIMbkMkHbLkM4lKBOVgfsD+cjHS/vWem7fbj2Ua1lYDPnI16DykNY+ca1tcc1AAukI4P0CZb0b/vjjDzdpr/F+u//++60SNcrggYoTJ06ULbfcUp588sl6MvKdseKKKwZEwtWMBhg23OCm3aezUceX47Zzr/G0K9btMIMH6kHhhKeSfd/9roxSvsZ9hcIcOwmjwqxZs2S//fazylM9Pyiqbj7z//3vf8suu+wSavBAPxg73Lj98MMPgW7jjNHdLRRonGGi0PzwBDfex0OHDq1n8MBQMY8jjzxSXn31VTtyfK433HDDwCxefPHFQDosMWHChEA2Ps8MCQK+Syr3s+6uMaiNHboasH66bgQrKyu1KBkXco3FeyLM4IHO8b6BwhyGWXcNTQ6sABfYNeeGp59+OvD3sFsW9zrf/FwjlT8GGA/vuece2WuvveTkk09OubvOb+umM/1Mu21xjTHiMw+DfpTBA/Vwj2H02n777WXq1KnIShnwHQkjSZRMuBnDd0XY3wopBbOQBEigyRGor5FsclPkhEiABIpJAE8QwX0Cnrq64bZ/youTb5D3pr0sdz9wlVw9+lT59PNpssrKleaJmfoKi3yOs8uqa8gKnTrLlHdelpn//SBr0Zv3HSgXnX2HPHL3VBlzzUvy6D3T5MqLH5bVVl3TbN3/UxYt/l0uuOCCrOWXWkP8QQ7lJJTbuIYiPzQYvaYxTZgX3EfBeABFp/kX10bvnbB9JK6xe8JYS4yiM/iCBNsGTW07yMLXUjZPcWFAaIsxGcWseZUb8a2Me6uWi815GmYIdS8zR5s2yl7M0RhbWphNSRWmfUvTP+IWVpYRl0kwbU2vZg4YP64TJh6wWUInwMWyMjUrDJ/gK5EHbnZGtebsFPOCRMhMZGYysMzrQgmDH79QDroKauTD6LF4cY11XZFws7LQurdSNwjuewjt4aIDeapYx2h8xbimEzFoNY+Q+IyZN+OSoKyVh+bnEqMPN/iytVz7duv649My3Ev3hfeFKu5UnsZhclUOYxKIS8B3u9KxY8d6TZ999lm7w6NeQUQGfLDjSfNCBt9Y4T917faNp201uPWQBxeCGlK5AIGCKs7fJDAOFSKkGluu/WHXIc4WcRWzqWRCgeYeMJyqbq5lMGRAAZfOOAFF5AsvZP8wTi7jzBe/VPf4q6++qnf4c9iYsdtIg7vbCXkPPPCAFoXGcO2GJ9zd4O5ecPOb47Vv9HDXEuz0cAOMIHhABcF3Oee7yUKdQq6xTzzxBLpIGfA35VlnnZWyTr4Ke/bsGRCFz+4BBxxgXeoFCjJI5JtfKqOHOywYALDLMCrk+zOt/eA3AtbsOIZMbQOj1mGHHVbv/ajlGmNHYLr1Ft8VeBCTgQRIoHkTSO+7o3nz4exJgAQyJHDSSScJnr6A2wb8gTh16gP2j5JOHVeWanPOQcflVjEHgreXS646UvbY+WA56pD67hcy7DK0+qZ9tpMbb79ADj7gdBOfL6cff6107dI9tG6cTLhEWnGFzrbqV19/KhPfeFpati6TIX8fWhQXGXHGmEsdKChVGQrlJa5h/FDFZSJOqO5VhWoP/zZq+LpgzA0BffWSMhPh4e+k7hVGEBNQFQYTpBZDu9/SHCLeoqXd+dEC47E1TH7cgB0dti7+NQYWyDQvyA8My9ZJ5Bt7yBITi9bAYFEB/2RqfLGmFtvWuv0yRhBsGDGerkzAKIzRQq+XxNYggiIb9AKxrbDE6AHjE3IS5ZCRKF3SLM8R7j3eA/gMu09I6XsCT47dd9995p4m+CTubY11N4OhwGCGH9GI4XsfShD4Mkc6LEAuXpkE9/0a1i5TeWEyipHnzgOfNwT9zOVjDioLcn15flm6ch0b2ulYkecGlQlZrjzku2m3Da9JIB2BSZMmBZQbMHj4ShoYV6+88sqAKNSDomfddde1+TNmzJCLLrooIOuKK64oqFIE53dgHPp0svuUP9ZGN7hPrLqKStRxjR577723NT4jH09q4+8uDVOmTEn2BRdPcIkEFzU4F8U1AEAJhqd/3XDJJZcE2KAM/texayJugC91KLjUCIp2//jHPwJP/d9yyy3StWvXSJFwTxUW4BbJD6eccor079/fukOCwef//u//xD2AGE+Ow/VqlJseX1626bvuuqteU7grw5PGOGMDu0+uu+46ef3119O6EKsnKE8Z+eLn32PsbtEApTrOGUCAO6Jdd93V/o2M9xtckmmA+y8YMnHoNtrDRY0G7EaBMbKyslKzArHvOmyTTTaJvRMqIKiJJvQBFJ2eu9MD70M/wBjWrVu35Lqh5XiAzQ2FXmN1jYR7OHxu4KYL74Obb745YCiEwQsu3PwdQu5Y83GNHczrr79+YD3Be3OLLbaQ448/XoYPHx7bnRXGUwh+w4YNs6xgXIB8GATxHQNjFgwsrlEAxla4hYP7OT/k+zOt8m+99dbA2o983Ffs/MBh7/it8NZbb9mxuruQ8F7Azp9UrhD1/XLEEUdYwwqMdPhOhUsr3CcNN954oxx33HFpXeZpfcYkQAJNjwCNHk3vnnJGJNDgBPAjEwF/XOGP16233tqm8QfKs0+/LD9+N1fGT2gnL7zyoDz/8gOy3daD5MR/jLR18vXP+utsKmuZQ8x//HmOdF65m4y56yK55J93GWVduOI1k35vuuN888dad+PWavOAT+FMZJRaXVVIqrISSkpVYGKsNg23U0YND4NEQv+eUMIn52K08ZGqa1M1WabNjPED9o+E0ytjqCgz7qlgBDG7GhJ7HOorapN9hV2YDhJqY/ybuEK1ZL9eG+Qnjtv0CrJOYmLYzQLJ6N88DW9YYedJOSwwLgPbR9TIbKH5R80ceM/iGnwTzMxFwQLuNRSKOMAcQd8buFZFlj4ZiDwNWg87ANRg9vPPP8m0aR8Yo0elqQaXSglDGvrQ+to+HzFkFkJuPsYWJiPMeJDP8fuy3M80xhPGy6+Dem6eLxPlGqLKovK1HWMSiCIABaer1Ee93XffvV71hx56KKBcgdscuEByzzbYYIMNZLvttrNKIlWYQBEEY4PrPgs7JfxDbOt1mCYDCm9VykF5qP25Ckh3ZwfEoY6eVeIaR1CGw1k14FwlPfPCPRQa5WrY8M+AgEFDy1APCiZdq5FG8J9sRh6UaZkGXw4MNq5CC8quKMNGVF94iMZ3aQUf8fBbrwHXeOIfCrXx48fbbDDFE+TYhVGogEPUoZh1A1zx4AlnDTis995777V/E8MAUOyQb37uPYYvflWuQhmNACMGFMMaDjNPbsPtmuu2Bu9xGD3QHgpkPFChAYzw+yEs4NwaN7hGFze/uV77Bzi7a0kqo4fvUs8/GySfa2zUvcF7YMCAAclirKE33HCDYFcelPgaYEAMMzRqeT5iPKgDQzo+x/r+VrmjR4+2O5rwvoVRF+/jdKEQ/LDmuWugOwYY+EeNGpU8Cwpld955Z6jRA2X5/ExDHozQWAfdAGMW8mAI1oD7DaPEwQcfnDRWoE4qg4e2xdlWMHpowPcizkKCYcq9ZxjL2muvrdUYkwAJNDMC0MowkAAJkEBBCOBpEjV4oAM87Tj8kP3l9HOOkOdefEQmTXxbdt5pkIwzxo/t9+wsZ1ywn9x53+Xy9PN3ycefvi8fz3xPZsx8V6ZOmyzvTZ1kr3/86VtZXGN8EcUIO+9wgEyb/qb8bcDfjbK2Wh57+vYYrVJXOfOC/aVNu1ppv0zbjNxopJZanFIoLtUljavE9HuHghLKWLxSKSvVduG3zyZt7QTaEMaBAir1tZtCxfnkUn+MhZWO/nDP8bTYjBnT63efYQ7eb3hKO6HcDxrSMhTF6jkScD/zuMfuZxtl+tJu3HLk+W20HmMSyJXAO++8Yw+exs4EfeFwVvgix64GNRhoP/vvv79eJmM9I0AzsIPDNXhoPg6adQ9ARr5vfMCOEBzWncvLdRXj7mpQBSQMx6qAdJV8eOoaQevZhPnHf+pa88NiKOn8Q6+hCPWVY/pEfpiMUsvD94gb4OLGnw/KW7ZsKeedd55bVWbOnBlI5zuhDwioXBio8L71A74HTz/9dD+7KOli8oOyHIcR+8E/rN01APq7ieB+LezhCsj0XeXgDACGIAHXqIhzfjRgbUOA8VeDurzyjR6+m6x8rrHatxtvtdVW4q6FWoaHcGD0cAOMmu7fNG5ZPq+hRMfZT74BSPuAkQYK9muuuSagZNdyNy40P7cvXGN3G4zv2K2iAcbPqM+V1gmLs/lMwxWZG2DchBHJNXhoOcrAEkYk7ORxDcZax4/RBmeJ+gHfdb4hFEYPBhIggeZLgDs9mu+958xJoEEJmN9+0q378nLrHVfLrXK13HP3A/KU+cNy3PgHzNb4X+xT8diVUVVdZQwWVVLeosIaO6pNGj8cOy6/kvTtbZ7oO/h8c3bHyqFz6blmb9lr10PtLo9zTrlRVl657knJ0AZpMsc+afyCli+QKuP658gjG+aHa5ohpix2lZq4TiiiE018BacKUuODVXgWcHsBdgCgLzMs45ZKjS2lafnQH1pRzJRdY47hHmTmzE8DU8B8Mfe62H1uYokLLnsP6wwzMHrATRZctahve+XmcsS1pt1Y6+pAtB5i9/2L8rA8bdcU4zBOPi/l4s7fr6NMUcctQ76bdmXwmgTySQCKGLzihMsvvzxU2a0GBMiAwq9Pnz6R4nz//4VWiLi+8fH0KXZPuApGHCyuT69jLNh14vpqh3LHP1Q3cnKmAMaisIAHUZQT3G4ttdRSYdVKMs/dKYIBhhkVdOC4/3jpXFWpq+X5jv3zZmCU87+ftE88EY7767oy07JCxsXkB4Vl2PxhiJs/f35ymnCpowHKZdeVEAydkydPlgEDBmgVG+NeunMBy27dugXqMJHYGabvf5xrgO9zPMyiBuSNN944uRtKPx/umgSGvtFD5aGsEGss3ElFBewOc98fqIe5dOrUKapJ3vLR94QJE+wuCd+FonYCt3rwboDzaMAmLBSaX1if+BzCKOO6/MPnJ2qMYTKQl81n2j8vCztiwh5E0D7xfeS6wNP8qHjLLbeMdFvoPmiA9r/++muUGOaTAAk0AwI0ejSDm8wpkkBjIDD84CGCFwL+OMcP/5rFZdKmVQdp3bK9LFog8teftTLv9yr58suvZcLkZ8xukX/JfodsJEcdeoHsN+jo0Gn23XiAvP3eq9aV1lGHBJ/+C20QkTl+0pMyccpjUtGqRs44+QxpLE+WuQpNTA1KTFVkQiHtpiOmXlcHNog6fXZU9ezzzYHiZnhLOnEV6tmLLGRLsAPfphbwFBj88KorK50fnrbbfPPNraKsvNwYIc1h5gjgoO8lnOExZ843AS74YYoDB4cNG27O9bA32JaDnbbDDzN9X2p/yAvyTbTFuMIUKtoObXxZWtaU4iCb8Jm5dcKYaHlYWbhE5pJAwxDATlEcTB1mzMCa5SpC4SIKrnSigr7vtdxtizycEZBKOaPtUsWuocN3fQIFjGtowbqqQfPdp7PVlZXWSRe78ty6hx56qJtsVNeuwhADhx/4VME9Q8pvm6pdNmW+0cNV5ofJq6ysLLrRw2dQSH44YyUswICBV1TAU97uThgokf36OBPFDXvssYeb5PUSAv7OMJzP5hpSsRtJDYOqnPZ3l7lng+R7jQ27Uf6Y/ToYr6u8x+euGEYPjAO7JrB7CQeZw7Bx00031dvZAePSbrvtZt3p+a6UCskPf2PjswI2+P7AbkHkYXcG1iLfmIWyTI0e2Xym/R2UYTvz/HucSdr9jvXbpfqN4NdlmgRIoOkToNGj6d9jzpAEGh0BKOBc/9XBCZTLeputJdvucoqcc+7JcuVVl8vom86RRQv/koP2PyVYdUnq2CMukV9/+8koXLNb8qZ//I589uV7stIqy8nAgQPtH7WhHZVQpip13FgVm1A0IyCNcs0voeGX/FCUnfIt+QFnMED4J8cTlok51jXED2A8zQZlYEKhlDBMuQxgLLniisutOzltiR97OFRw//0PMD8c6z6DMF7MnTvXynJ/oPz55zz7vkQe3qt18hNPKuKwRg1ahvHgR6n73tY6TSnGfP3Pq6Y1xnxdDm6+ywKyVB7q+Gm3Lq9JoKEJnHDCCaEGD4zLVeYhDeUTfITHDb6bJxx+ns/gPzENo4draMGZF1AIYbeLKiBdJTWU5HEDdoX4h7zHbVvK9ZSLjjGT+wslXyGDa6BCP+kUsbka1LKZSzH5wYVcNgGHnrtGj+eee84qb2Hw1KBntWgau6QY6hPw1xx8Btw1B4ZY/M7COvPpp4ldva67MUh0jR75XmPrj1jEP4vEr6O7hTUf63yvXr00WZQYZ/Ng7cEZNTgjCYdku1yxkw/nTMAI4f7tVQh++FsYOx/vuOOO0LmDD175CNl8pn23gr7xP9dxNcQ6muuY2Z4ESKBhCCQ0Fg3TN3slARIggawIGP2ctOtQJh1XbiFXjDrH/Eg6Q554/jYZfnR/eeq5u+WPef+rJ3f55bL7Efbfz/8jI687Xn6f/5X1qR3mp7heZyWS4So0oUD2lZr4gxzKYvcP8/Ch4wn7JS8TGVW0SZpzVew3iJGB7R/ZbHgwh5bbhuY0c6PKNdcJY0z4GEorV1kGR4U5GChL5lVjksCSQJMVoMS9wYHvOPHd/G+OCF8iL9hzrinMBwExDBR4Ujqx0wNzSrzgDgE/SvGeQXW8b/DCe0vfQzgoeKml2ibLIA9l2AHy22+/Jt+D6Ov999+3RkS4NIAvZ5z/g9dOO+1ozhOZ4Rk8xPohhjKyX78trL96tw38f+scdCzooykFnR9i5Yq56sstx7zd+4K0tkPsGkVQpmm/DcoYSKDQBIYNGyZfffVV4HXZZZcFuoViBwbUsIBzHHIJMJgWMrjKQ/TjKiCheMT49SB1KKfdA1hRvzIDo0f0AyOQ1HhDLvfYP+w93xT896W/SzLf/fny4hw2X0x+yy23nD/EWGkY7A466KBAXSiWNeDvEtfogSfZ8/30uPbV2GNfwQwXo+rGCnMDO10roLTHe9g1euBewAWehlzeP5CRjzXWPScJMnMdE2RkGzAfuLHD+TKDBg0KiMHf0P45P7mO1eeHNQbGlyiDR2BAeUhk85n25zxv3rw8jIQiSIAESCBzAnWPXGbeli1IgARIoCQIXHTx+bLuemvL5SOuloefuFHuvH+k9Ou7o3Tt0kPWX6ev9Fp/i6zG+f6Hr8uoG06RXr17WmXv9ddfn5WcYjdyFaKqzMQYoBzVMk2nH1ud0rvWmDdsu9oFUmvOW6kpQ7qlUYkbRRSqRQVTllCpByvUGuNAWZl5kt9kV1sLilGQI2HGWarBVRgnFMR1zw7UmnNJDBgpr1ks5bU1UmOMAQkwCWOOtYVkMLEaWBbAHPcNlBabfyuMgcESyx8jzAkvBMRwH4H3jWs8gKGjV6+NzBPErWw93FG3HPXBY7XVutqdINgt0qpVq6Qc/JiePn2G+aG9avI9iDZ4whoKmwozLx3Dkg5Coz/+cA2adeyhJHTHE9q4kWaCS9jc3DzUcfnhXmhw8/UabbUNrvWlbRiTQEMTwJkNI0aMSBoAoJh74oknQg849Z8AxtixKzNu2HDDDeNWzape2FPX+uQ9/MUjqLsRPHkNBaUbsBMkbshGORVXdr7q6TqUiTwot90nqmH0dpWyqWT5/FPVzabMVzAXW7nncokafzH5hR1UHDUuPx8Hmv/rX/9KZsOVkLpl811y7bnnnsl6vAgS8N/zcHHkGj1Q7roHgksk102b76KtFNZYXTN1pv4YNb+YMc6huO6666y7Otf1Flw7wU2ihnzzw9/pMLi4YYcddhDsfEJfMPRiJwjuK743YYjJJWTzme7Zs2dgzcaDDZtttlkuw2BbEiABEsiKAI0eWWFjIxIggVIjgB9Ku+++uzzx2Isy5d9vy+uTx8ukKc9Ku3bLSoell5Htth4km2/yN1mjcp1YQ3/w0dHywqsPSGX3LtK58yqCw+tcJWMsIQ1YCUoFX5GJPFcZmu3wqlsYQ0dNS2m7EPr4MvnLWCoWGyV4nZo1KNkq7INZNoVdC+XGEtDCyCivNbsHjNGg2gjBoeal9uWkCmIM3OeanJq1Q1Qbw021MQiJtDJzK7c7M2ql2tgUEsaKZO26C2vpqUvqFUwltcaIAsOSsXagY+SY/0wfllB+DB+Yjyqhqqqq7I8j5KnhA2V4Ygu7OLQujCBuwPsK9ZZfvqP07LmO3VKPH1xwswI5OLx03LhxZifHNjYPchhSE9B7glp6HcbNL9M6mq8x5GgZrhGQ9vMSJfyXBBqWAJ5sPfHEE63hQ0cyatQo+1St774J72EYLj788EOtatv5OyyShUW+8F2DQAH5+eef21F0797dxt26dbMxFNi+SxJ9IttWSPOPvzanqV6UYt84AaOOzjvuALATxlXyDRkyRHbZZZe4zQtazzd6QNGY74Dv0bDg7woKq4O8YvLL5e9M/J3hHliNA98/+OAD2WijjWTSpEmB6dG1VQBHIOEbPbC7TM9YgLswrKHu+xbrjmv08M/XaOg1FmeSvPvuu4E5+mMMFBY5ASO7a/SA61Y35Jvf448/7oqXq6++OvSBAFSCsStXo0c2n2l/jZ84caLsu+++gXEzQQIkQALFIBCloypG3+yDBEiABPJKAE/cDD1okNwwZqS8N/UtOfusi2TwHgfIvPlz5dGnb5WTztlT9j2kt4wYday8+OojMnvOrED/n38xXR4Ye70MPWJTef2tp2TBot9ljz13k2uvvbZBt1EHBhkjoUpM/EhWhSfysvmjNdCdVc4bt1ZWEQ+lt9nNULbIKE1hvoBSP/y/FsagYcwbS14tTGz+MzKwk8FIMC0TuwzKzO6IFibPiCupAIauwgEslauO3Q7YHMTewlg7agyMRS1rZHGZMU6YydRg14epgD0a4S9lg7juP+yhKW9hdlyY9ubSYreEzXgKETBH+ODFD19c6zzxvll66aWtKwQ33x8D6kNRudFGG1rXWAk3WBhrQrH+5ptv1jtQETLQLh+h7p5ES0Md9xVds35JHPn1W+WWk2qsWqY9gKOyRBncH+gLabdM07i3bjuVxZgESoEAFNtws6IBxgBf2aNl/sGx+N7G+7wUAhSM7rkEMHrg/A6EyspKG3dbYvRAwneN0rVrV1unsf7jzg1z8H29x5mXr0DDztti76iIGqf7xDzqPProo1FVbX6cnRn++QZRbV577bWUfWlhKfPTMWp84IEH6qWNlefzzz+fzMe6AEMIQzgB3+CLQ8phQEJQV3ru+xafSdeA5hpEtIeGXGNxXpwbsIsi5980rsAcr30Xc2HG53zyc3ftYOi+iy13Oi+//LKbLNq17l7UDp999ll55513NMmYBEiABIpGoNQepi3axNkRCZBA0yZQYR6OP+HkQ+0kL77sbHngvsfk15+qZNzLY2XmZx/Kl998Kpebszqqq6tkqbZLS1X1Imndqo01buCHwH4H7CXYPRL2h39jIBelyFTFZyZzUAUpvDfV1FQZ901G6V9WJQvaVEmF2cIAo4bR9y8546O+ZOxwgO4pseMDCu6EIsqeU2EMKVVmR8Qio9ivLYeBoMoo91sZRT92gNSXVcwczFuVZv4PGDWC2HktUaxhuOXGmLPYKPlrjbGjwrj/WmTALFMOxbLOuv4Mas3cYcxI8KkrR3qRMTZw6IoAADfPSURBVD7gDJUqcCmrkAojv7YW5pD8Bb2/8On86quv2rNrdN76funTp4/ZxbH8kgPM6/et9cCpX78tjZ/tF6zCHZ+vFsYVGgLcXcF1C55AhHw8/QtFDFhqfypZ5Wk6XYyxoU3dfUncO+Thh3Eu8mE4cGVkOrZ0Y3fL3XHi2u1Lr7WOlmu+KwfXuBdqpNI66dr4MpgmgYYk0L59ezniiCOs+xAdxzXXXGMVPL6/8MGDB9vDY7Xegw8+aA0mp512Wl78yavcbGMYN/RA7WnTpiXFqOsqdzeH+1QulLu+AjzZuJFc6Bx1uFdccYXstttuAUOQlkXFOPsJLFQxC6MRDhO+4YYbxN9JEyWjUPm+ezTsOHrppZcE7mb8gHHjAYB0wTcU3XvvvQJjgOvbH2ccjB49Op0oW17K/PwJ4L1x1llnJbPh7gp/j7s7oPB593d8JRvwwj6o4n5ecFi5rj9qRMW5HhrcNQd5bpnWaag1Fju8/Pf50KFDdVgFi//5z39awxp2caRyGwiDJD6fbgg7ayaf/Pzvv19//dW6tXLHgOu7777b/t3t5xcjPWDAgMCajT6PP/54+32++eabF2MI7IMESIAELAEaPfhGIAESaPIE2rQrk0OP+rud5xFH7y9zf6uRRQvE+DqdI9NnfGQNH+2Wbi2dV11e1tuoq3Rdve6HQJOHk2aCqiRdd911Zd6f84wSFmdwJHYsLKxYKK0XGW4LF8t3i+cZhbxxcrXEAJAUa9NwfWX2epSXGT+z5pDrJUrwMmMQgCFlsXHVVNG+o7luad1dLUabBrR4YA46byiLVWGsc1JFMtJ4cksVG5hlGdqaQ97NBg3p8ecC+a16oVQZI1G1MejAEFI/1EqFUU7DINDCPA2snq5gFqo2nBYYXrKsMTYYxb3dL2KMHmCG3RP5DJgTlOQ4UBgvN4AFDBSpDoN17/sGG/SS++67L/QpPChswBP18Z6CYhLXvvLCleeOJeoaY0Mbla33DXlqCHHbZiIfsiCj0E8VYkzuuNCvG7QMsc7Pr6P1kY96aqzRetpO6zEmgVIngPUIPtM1QPGJJ78POOAAzbLxFltsYRWjDz/8cDL/9ttvt2sMDCdYb/D0M5RF2CGAHW1wMdW/f38phgIGikZ1z/LGG28kx6gGAewEUSUl3IBo8JVncBvoKijnzJmjVW2MXSSTJ09O5mHNhdE6XYCi3nfJgjbozw1wM+PK1zL4avcVcVq23nrr6aWNYbjAmRy4L/gO7dSpk+0HY8f9hYsj3Bc3gA8Otz/ppJOS2TAe4Ilv7AjC/YeiFrsS4U4R50jh/sIgjvJCBhjycQC3exYF5nb66acbl45b2/lB4YxdGTfffHOsofg7M6BYhTuvo48+2n4X49ysm266KWAIUMFjxoyxB3zjvqsLoHzyw/t4wQLzR3REwHkD7vdlqvdGmAgYO3HPcJ6HhpNPPlkvbax/dwUymQgQwENbursDRjgNavRwz5lwy1EvzOhR6DUWu1HwOcHfgzjvDWPHuB555BEduo2hTE+1syFQOcsEXL3i71i8ELbbbju7xuChOHCFZwGMFWsQvmfUGKvd4TwLP+STH9ZU/T5BP8cee6xcfPHFxr1sT/nrr79kxowZ8sILL9ix+eO4//777U5DrA19+/YVfN4K8ZnG++vss8+Wc889NzkErO8wYMKwifUJu0HwHYUxw4iL7zO8jjrqKLu7PNmQFyRAAiSQAwGjnzG/ihlIgARIgARIIIQAviLwpDvi8hZGKW+UqdUtjJLa6O+rjWur8gVmS41Rx9dWG4NIeasQCWaHg9m1Yfc54OvGKO9VAWt3OBgtf60xhog5H0SWhtK/QuDNqdwcbN0QAfNUJbm/u0PH435t1phDy1ssMdDYaRoWMObU1JjdKlWLTGqeMRIZgwYMIirAiYEEu1rABYxseklF8JFq406stXHvYhiVG8OJ1JTLYmNRwTko+C8fQeeDeftKcaTD8v1+VQbycY2X3meNNR91kOfWcRUkyM8moB3k6HgRQ4nmytOxaP9x+tH2eD9AceSONU77TOpoX2ijY8W1zsnPR323HsrdoO1S1XHr85oEikEACmkoWzTAsHHJJZdosl586aWXym233ZbMx+dwypQp9Q6yhiK4X79+9RRQyYYhF8cdd5xVTocU5TULuxugpPYDdr/pd81ee+0lU6dODVTZZ599rL92zYRicNNNN9VkrBgyofxPFdCPa0xJVTes7M4775Ttt98+rMjmQSkH9yZxQtT7Aevd8OHDxTUKpZOHXRhPP/10umo5l3/zzTf1DDVxhT700ENWoerXx1xhKEkV8FmAQQ+GBj9glxOerNaQL37bbrttRk+P47ObqZEC53ikOqgcOxf8s2J0nowTBLAT6pVXXqmHwz3/AQZfKKL98OSTT0rv3r39bMnnGnvGGWeIa6Su11lIBgzDmFOhd+HDyAjDbDZh5MiRkYbWfPEbP368HHLIIbGGh3nACKI7fdxGY8eOtd8nhfpMYwc5dri45225/Udd33HHHYIdNm7Ageyu0RuGUDft1sXOILzPNVx11VU8T0RhMCaBZkiAOz2a4U3nlEmABEggLgEoS/HUlSpjTdLsyzDqdqOjrzBulqSVUV6bRFnrDkYRH26ogAo7qZ5PXiRGoOpts8nDyFmiwPXqxB1rNvVUaYxY5wildiolMcpQN6FQhuukhKIf+djFUmaMIKaG1LaGkaiDeSXO6ch0WnZsFp5paRsbvsZTVGKfTTazDW+jc42adzZKflXihfVoOeGNFBF0PBHFkdnaTseL7f5QaH711VdOGwDVd52TnfISYy2zh6vihxR+dOcj6HvO5aFz8OXrnPz8sPr6PrbvnxScfVmFTuPHrwZ/Z4/mMyaBMAKHHnpowOgB5Q2UNb7v/2WXXda66BsxYkRsRfcXX3wR1mXe88KenIZvfXet7NGjRz2jR7du3XIei64JOQtKISBdH+eff749qyRMweqLDa7ZdaVY72655Rb7wpktcYIe3hynbi518PT8PffcI8ccc0xKoxsO6cbunueeey5td2AGH/j+U+RuwwsuuCCtYUTrNxS/dO8NHZ8b47wO7HLSs2/cMihRafBwiYRfY1dCWHANBngvhn0m/TNBVE5DrrF77LGHnHPOOaG7UHR8+YrDmMSRDUNTqp1l+eKHnScwDvtutcLGeOqpp8oJJ5wQavQIqx8nL+5nGn/rYbfMqFGjrKutOLJRx9/BGLcd65EACZBAGIFwDVVYTeaRAAmQAAk0WwL4sZxUsC4xENSYHQ0wVCDYsoRuOKGgd66t3lXTHkFk2y8icwFTgQ1LIq9qQZIYN4wX+gd8YJ5ej6ijLxQpD8RQSqOsZjF4IG1eyDdWChxPns2UrHzsIkk2TlwU6otb5+NNOzKpLBC7wVfQaz2tk2k/2i5VrH24Me4rnijHj9d8vKBo9eeaakypyvIlx+/DlYv7ANaF4O33myqt9wR13OtUbVjWtAn4Ckv3nIKwmUNJ57uzgvI7LMC4AOMkXOfhCdd0RspiHYYdZvRYa621AlOorKwMpJEIy6tXqRFkQImKp5NPPPHEtG5L4HosKuC9gqd7sdsDOwHCuPptUxkN/Lq5pAcMGGBdyuD8DD9gRwaU9dgRk+49qW3h4mrChAmhuyQgD+fbgEG6XTwqD3Ep83PHiWu4DAsLe++9d1g28zwCUZ8NN1/d63lNU56Tg/b5WGPTrfsYE97n+DxhPUef7tj9MeczDddLcKsFd3LueUtRfcAAj88qDJXpQr74weB5/fXXR44P33+6YyfumpNu7NmUd+jQQS666CJ56qmnBGsk7mm6AHdXfkjlYtevG+e95bdhmgRIoOkSoHurpntvOTMSIAESKAgBKJMRVJmqcUE6K7BQuO5yFcOp5qIKW1Usa12k3WtV+mtegafQYOKVAwYQNle3HHU0rXyQl6+gsl15cAMD38FwH1MXYKAJGmnqyqKuYGwqk4033ljgCxk+43MJOlaNwS6MX6Z9qDy0gzxNI85XH5mOCfXRf2JXVNJ6V1AXYdmMkW2aNgGcQwF3JYix4wjKEyheYEyhcqRh7j3WZ7iEwvkb+E7AE8G4FzgfAweTZ/I9gfMlZs+ebd0Z4hr3F4e/4/421CHw+NsCO1ZgeMcT93qOAmjjrA/3nIIo91bunYES8Msvv7R+7zGnSmMgUyUgdjXCsIOzwdwXmMb5bilFfjp3+PnHWQhquMLnFm7YuFtQCZVGnM0ai7UY9xcun9B+4cKF9qwY/L0AwwCMDQ2prHfJYp3COSP6WcPfNTiLCOdW5GONyYafjg9jwUM52B2BcWIdxdrnntkCQzLq4dwlPHSAGGtFQ32OcN+xPuKhA7wPMCZd/8E1k/VfOTAmARIggSgCdG8VRYb5JEACJEAC9QiowQMFcX5M1xNQAhn4wx8vBPxhHTUPreOX6x/jKsctTyWvBKae8xCUSTpBYfXAyWWVTkac8rB+0A75eK/ifuj9iiMvrA5kwQUNxh7VX1g7P89vqyw09uvHTatcd3zI03zIybWPuGPx6+kYmvrnwp8306VFAE+awq0QQ+kQwM6PKBc6mY4Syn+4BsOrVAK+M3BIL175CFAI+ofaq1zs9Mhkt4e207gU+enYrrzyyqTBA3k4x6ChFLU6Jsb1CWSzxuI+wogV58n/+j0WNwcHl+MV5TIs19Fkw0/7xN93MBTgFRVgBCmlAENRr169SmlIHAsJkEATJkCjRxO+uZwaCZAACeSDgCpQEeOP64ZSoOY6F9dgA1lx5uLOHW2QVgWutm/sXDCvVAHzQ1AWuMbcUxkTUK7tcF2IECVfx4kfVRdeeKF98i2X/vU+4wevPlmbjTxlkk8eOleMx5WLfDedzXhzaaPjwhgachy5zIFtSYAESIAEGoYAnv6G6x6cB6ABT/3HPbxZ2zAmARIgARIgARJo3gRo9Gje95+zJwESIIGUBFR5iUqplNwphZRAIQwemAuCGi00HTU8nXuY4lbballTV+y68wWvOPONUyeKfZx8yHfvkbZBPl54MrZ///6Bg4K1Tiax9oE4189AIZioTLzHca0x5qhlmcw3l7pu37myymUcbEsCJEACJND4CODgcvj+h/svuOxxAw6xztW9pCuP1yRAAiRAAiRAAk2fAI0eTf8ec4YkQAIkkBEBVXBrrIpTjTU/I6ENWFkNHhi/vjIdDtrpvLOVkWmfpVQfc9bgXmteQ8XufXHHoAp33DO9b255ptd6z0tp7piDjgdz1Gsda6ZzzKW+MnbHkIs8tiUBEiABEmj6BODTf+TIkfZ8l08//VS+++670EnjwPahQ4eGljGTBEiABEiABEiABKII0OgRRYb5JEACJNCMCKjSFLH7tHaYAlUVm8XGo4pV9Bs2Bi1HGa7duagS3G3nXofNBeUqC0zCZIS1a+x5LkfMJR2nhp5vqvGlKgsbt84dMdpm2t6VqbI0LxdZKgOxLxd5rmz3GmUa3HZRdbRuJnGh5GYyBtYlARIgARJofARw4LvrwipsBjB4XHHFFYHvubB6zCMBEiABEiABEiABnwCNHj4RpkmABEigmRKAYh8BClF9lQoKKFZd5aqO0x0fxow67s4OPYDaredeuzJ9RbCb1ms1fLgymuo12Oi8G3KOqe5RPsal8t356n1289L1pXJQT68LwU9laz/ah8Zh43Tb+O3C6qfL8+Whfqr+08ljOQmQAAmQQPMjgHM6osI222wjgwcPlr322iuqCvNJgARIgARIgARIICUBGj1S4mEhCZAACTRdAlBcqqLSVWKqwrchZ+6PDWndbYExu+PGtY5fDTcwdkQFla0yUQ9zVhkqW9v7ac1vSrHOHXNSPg09P3dMGEs+74Mv252r+35CfjY83Db5GreO2ZWHazftzkOvtV0+xqSy0vWpfTMmARIgARIIEthoo42kqqoqmdmxY8fkdXO7qKhIqCJWWWUV6dq1q1RWVsq2225rz+Nq3759c8PB+ZIACZAACZAACeSZQJn5AZs42TXPgimOBEiABEigNAm4y74aCVSJGUeJWsxZYazuGP3x6VwQ6zUMGDofd6xajjJcw62CGke0DzX4hLV3ZTW1a2WDeeHa51zs+brjQd+FuB9hfSDPzc+Eg76HXFaZtHfb+dfumPyyKDYYj7ZzxxFV35eraZWhacSZynDb8poESIAESIAElAC+Y/idojQYkwAJkAAJkAAJ5JMAjR75pElZJEACJFDiBPDjUpWYGkcZCRpyKjpOxPgxrMYIf0y+ojmqnspDe5035KrhA+1Ulv741tjvk+nCEdB7gx7S8Xfr6ojitElVJ0xmnLGgjt82VT863rixKzuuXLTRdtpG40z6hQy3nXsdVw7rkQAJkAAJkAAJkAAJkAAJkAAJkEAxCdDoUUza7IsESIAEGpCArwQtVeUlxgkDBManL8WmCljEGnAdZexw66Ce1tVrlPsc/D5VBuP8E8B90KD3AXl6rWVhsbbV+unaoJ5f15eBfiBH8zXt9++WR9Xx2+SS1nGnkuGOKR2LVHK0zJWHvHzIVNmMSYAESIAESIAESIAESIAESIAESKCQBHimRyHpUjYJkAAJlAgBKDD1VarKS1WyItYxauxi1HkgD8aOsDoo03pajlj7wDVe2Omh14gZGp5AnPug9zHuaLV+mGwtU1luOqy+Xy9VHa2baxy3D4wddTXOtt+4DLKVz3YkQAIkQAIkQAIkQAIkQAIkQAIkUEgC3OlRSLqUTQIkQAINTADKS1+BmQ+laL6mpWPTcWJsMGRovip7Na0x8rUsbCwqL6y+urHSdqkMJ1qnoWJ3/A01hnz3q3Py5aa6n27dsPZRbcPq+rLc95LWj5KnbbWeptPV13qFiPM9FldeQ86rEKwokwSaG4Hff/9dZs2aJT///LP89ttv0r17d+nTp09zw1CU+b711lsye/ZswcHknTp1kjXXXFNat25dlL7ZCQk0VQJcw4p3Z7mGFY81eyIBEigeAe70KB5r9kQCJEACRSUA5aW6iULH6gIK+aWgzMQ4XAVr1Pi0jsZaLwqm1sMc8ULazfPba51SYKJz8ses+Y091vvgzkP5u3lR19oeMdpF3TOtBzl+XS3TfK2jffoytb6Wa+zX0/xsY7+fOPK1jcb+ezuTsagMtInTdyayWZcESKB4BPBZHjdunDzyyCMyfvz4QMcnnXQSjR4BIvlLXHfddfLGG28EBA4ePFiGDRsmvXv3DuQzQQIkEE2Aa1g0m0KWcA0rJF3KJgESaCgCNHo0FHn2SwIkQAIFIqDKS8RQgvoKTD9doGGkFIux6Qvj0ZffCHXUcBNVx22Dujpv5Gsb7cstc9uhXkMEjCcsIF/HHlbe1PJS8VcW7pwzYYPPAGToK6ptqjFo33HqaN04McaE4M4xbh/aFu3jtkFdN7gykJ+tHFcmr0mABBqOwJw5c+Tss8+WiRMnhg5ilVVWCc1vSpkfffSRTJ8+PTmlgQMH2t0XyYwCXay66qr1JD/++OOC1/Dhw+XMM8+Udu3a1avDDBIggToCXMPEGqt/+uknC6VVq1ay++67S0VF4dV2XMPq3oe8IgESaDoECr96Nh1WnAkJkAAJNCoCuTz1XciJuopWNcq4edq35mkdzY+KUR9KW7z0WmPNj2rb0PkYpzvWUr13uXKKq1QHCzdoOm57t562hTz3feDydvvyr11ZflkuaXdc2dzvVOOCbFd+qrqYQ7ryXObJtiRAAsUhAGUhlGO//PJLZIcrr7xyaNmff/4pixYtSpZB0ZZKQT9v3jypqqqy9du0aSNt27ZNtm3oiwkTJsjVV1+dHMZVV10l++67bzJdqIvOnTtHir7nnntk5syZcvfdd5cUq8gBs4AEGoAA17AE9Ntuuy2wa2yjjTaSysrKgt8RrmEFR8wOSIAEGoAAjR4NAJ1dkgAJkEChCZSqElPP01BDhipn3fG6eW5+OmZhdVXxG1aWTl6xyzFGfRW771LqT++ZjgnpXO6ftlcZSIflabn2W6gYfbsh3/3q/FxDit+n9u/2rUy0jDEJkEDjIQC/9/vvv389g8dqq60mu+66q3WvBMXZSiutFDqpvn37CgwfGtZYYw37tLG7RmgZ+urVq5cm5ayzzpKjjz46mW6uFyeffLLstdde8uGHH8p7771nd3i4TN9880057rjj5Pbbb8/pO6258uW8mzYBrmENf3+5hjX8PeAISIAE8k+ARo/8M6VEEiABEmhQAmFKioYckKtwxdjc8bnXbj1XYZvN2FWuxtnIKHQbNQChH4yzlMeaCQvcR33pvHKZW9h7wX2vKD93jG452ut4NF/H5bZx3ai5+blea58qR1kgX6+1LCzOpJ6295nF6SdOHZXPmARIoLQIXHvttfL1118HBtWvXz/BE8NLL710ID8s4SrnUY7Dz99++23ZbLPN6lWvrq4O5HHtSOAABxiL8Bo0aJAceuihMmTIEPnuu++SvF555RV55plnZI899kjm8YIESECEa1jDvwu4hjX8PeAISIAE8k+gRf5FUiIJkAAJkAAJJM4piKPYh1LXr9fU+S1evDjpfqgpKYz0XiJGwNxymV9YW5XtvkfcPPca7f10rmNy+83mGuPBK2xurjyt5+ZFXbt108mNksF8EiCBxkng448/lrvuuisweOzugCulOAaPQEMncf/99zspXmZKAMaPp556StZcc81A0wsvvDCwqyZQyAQJNEMCXMNK86ZzDSvN+8JRkQAJZEaARo/MeLE2CZAACZBADAKqhEWMEKWIhbFD66aqZ4U0kX90RwGexlcFfBSfxjRl915jPjq/TOeQion2obEr230fab6+v5AOkxvWRtvmGuciW9siThVQrgZDnV+q+iwjARJoegQefPDBwKTg0ur666+X1q1bB/IzTUBh//PPP2fajPUdAnAndu+99zo5Yl2QvfTSS4E8JkigORPgGla6d59rWOneG46MBEggHgEaPeJxYi0SIAESIIEYBFQJixhK2PLy8noGD5RpPYgMq6d1EDeFoPPVHR5qEMDcm0Jw7xPmpvPL19yUH2Lty2Xn5vt9ho3Flaf1w+ppWSZx2FgwVv+lMrW+G6NM62s9N3bHr+N2ebh1eU0CJNB0CSxcuFAeffTRwAQPP/xwqajIjwfjxx9/PCCbicwJ4HDg3XbbLdDwiSeeCKSZIIHmSoBrWOnfea5hpX+POEISIIFoAvn5izhaPktIgARIgASaAQFfYQtFrBtQrkHrplLqhtVFXmNS7OIJfHDQ3QYYuyqodX5NJc7kvuh7IU4brav3Hmlt55ehjuZpnVTvQ62jshE3VHDnpWNwx4c8nZvW9eem7RiTAAk0HwLvvPNOPVdJOEw7X+HOO++Uww47zD7AkKtMnAWCc0c+/fRTu56ttdZasvrqq2dloFm0aJH897//tbLatWsnq666qqy77rrJ74dsxoq19dtvv7Vy//e//0m3bt2kR48eObkI03EMGzZMnn32WU3KxIkTBQc3L7PMMsk8XpBAcyTQmNawv/76Sz7//HP7wmcXa9gqq6yS1bozb948mTFjhsyePVuWX355exYQdunlErDGfvHFF/LZZ5/ZNbZ79+5SWVkprVq1ykWsbcs1LGeEFEACJNBABGj0aCDw7JYESIAEmhIBKGh9Ja07P7fMvXbruNdaR2O3rLFcq1Ja48Yy7kKPM5N76tf10/5Ycy335WWTTjcGXybqx2mjdTT25TBNAiTQ/AhAaeYGKKZyVaTjDAoYFBBwCPe///1v2Xrrrd1uMrr+4Ycf5JxzzhEc4h0WBgwYIJdffrlVHoaVu3m//PKLnHbaaTJ+/Hg3216vs8469jDkegVpMmB8uPjii+vtmNFm8Gs/cuRI2XzzzTUr43jTTTe1Z3soVwiA8adv374Zy2IDEmhKBBrDGjZ16lQ5++yzBWeP+AFG13333VfOOussadOmjV9cLz1t2jQ55ZRTkmusW2GHHXaQUaNGuVmxrrGuYI19++23Q+tvs802MmLECOnSpUtoeZxMrmFxKLEOCZBAKRIIPopbiiPkmEiABEiABEiABEiABEiABEiABAIEPvroo0A6F8W8CoKM9ddfX5Ny3333Ja8zvXjttddk2223jTR4QB7qbL/99inroB4UjjigPczgoeVDhw61OyiQjhOgJNxxxx0jDR6QMWvWLNlvv/3k0ksvFbiozCbAWO0bjsIUqNnIZhsSaMwESnkNw07tW265RbB7Lurz+ueff8pdd91lXdhhh0Wq8PTTT8vuu+8eavBAO5z1c+qpp6YSESjD7rT7779fBg4cGGnwQAPsLNtyyy3lySefDLTPJME1LBNarEsCJFBKBGj0KKW7wbGQAAmQAAmQAAmQAAmQAAmQQAwC2C3ghhVXXNFNZnUN5dbw4cOTbV988UXr9imZEfMCbmAgB0rBdAF14EYrSrEItzJ777233XmSShZ2gmC8cQLcyuyzzz5pZaqs2267TXC4e7YBBwK7AcYUBhJo7gRKeQ3DeUnYIREnYLcFdnwsWLAgtPr06dPl+OOPDy1zM2H4wNoUJ8BlHnZ4xA0nnniidX8Vt75fj2uYT4RpEiCBxkCARo/GcJc4RhIgARIgARIgARIgARIgARJwCODsCTessMIKbjLra+yogNsWDWPHjtXL2HGYmxYYQe655x77OuSQQ+rJuuaaa+rlIQMHqvvGkyOOOMI+GQ13Mc8884wMGjTItsW5IXHCtddeW68a3M6gr3HjxgmMHO6OF1TGbg8YYLIJvsJw7ty52YhhGxJoUgRKdQ2D8QJu9/wAN1cPP/yw3HzzzQLXfG6A0fWBBx5ws5LXN910U/JaL6644gqZMmWKvPvuu7adrjdx1jCca3TllVeqKBt37NjR5sEYghfK3XUcldBntoFrWLbk2I4ESKAhCdDo0ZD02TcJkAAJkAAJkAAJkAAJkAAJZEHgjz/+CLTKx04PCISibP/990/KhqECh+TGDf/5z3/kueeeC1S/5JJL7NkZUBTideGFF9qzMtxKeMoZ/vPdgH5Hjx7tZgmeWD733HNl7bXXtmeY9OrVS6677jo56aSTAvWiEthRgqe43QBDB+T26dNHcD4I/OvDHcx2222XrAal5hNPPJFMZ3LhKwz9e5eJLNYlgaZCwP8clMoaBuMFPu9uwHrwj3/8w57vs8suu8gdd9whgwcPdqvI1VdfXc9Ai8PFYYRwA9xSYY3t3LmzwFgN91PYSdavXz+3WuT1Qw89JK5xBGcxwfUfXPFtsMEG9oVruLaCMUTDCy+8EOleS+tExVzDosgwnwRIoJQJ0OhRyneHYyMBEiABEiABEiABEiABEiABjwD8ufu7H5ZaaimvVvZJKMw0QPkXdZaG1nHjyZMnu0nBYeAHHXRQIA+JIUOG2AO+3YLXX3/dTQr85ONAdTccddRRbjJ5feSRR9Z7sjlZ6FxMmjTJSYk9hBiGDj+0bNlSzjvvvED2zJkzA+m4iU6dOgWqzps3L5BmggSaG4FSXsNw1pAbsEutd+/ebpZUVFTYA87dTKzJMPq6wV8PYdjo37+/W8VeQx4ORI8TXn311UA17OBYdtllA3lIwKCC3SluSHf2iFvXveYa5tLgNQmQQGMhQKNHY7lTHCcJkAAJkAAJkAAJkAAJkAAJGAI4e6OQAbsoNtlkk2QXmRxo7j6BDAEweESNd9iwYck+cOG3/f777wPlMMb4Llu0AvLxxHS64PeB80KiAgw2eGn48ssv9TKj2N8pU15enlF7ViaBpkYgak3I1zxzWcP8s0ZwXkdYwM4UuAN0w5w5c9xkPaNtlCw02nDDDQNtoxLumUBYn7BDLSpsu+22gaJvvvkmkI6b4BoWlxTrkQAJlBKBilIaDMdCAiRAAiRAAiRAAiRAAiRAAiSQngCU/O5uj99//926e0rfMl4NPN0Mf/MIcJMChX/79u3TNvYNA67RwG/co0ePQBZcwbjBN3rAjUuqsPrqq6cqtmWuwhAZb731Vso2roHCb5uyoVP4ww8/OCmRDh06BNJMkEBzJFCKaxiU+/7ussrKysjbs9ZaawXc+flGBf9g8lTrITrBrjO44IsKGJ9ruMU5QzjXKCpgR40b3LZufrprrmHpCLGcBEigFAnQ6FGKd4VjIgESIAESIAESIAESIAESIIEUBOCr3TV6/Pjjj3k1euy44452V4X2gQN8Dz/88BQjShT5hgvfF7wrwHeZ4rf99ttv3erWXUsgw0sss8wyXk79pN/HcccdV79SRI7v5z+iWr3sn376KZAXtVslUIkJEmjiBEpxDfMNrbgFqT6vcCHlBt/o4e/88Nc8ty2ul1tuOT8rkPbHBwNNJmvYb7/9FpAXN8E1LC4p1iMBEiglAnRvVUp3g2MhARIgARIgARIgARIgARIggRgEfOWYr5SKISJlldatWwt2e2jAgeYLFizQZGSMszDcUFNT4yYD1/5TyIFCk1i0aFEgK5WsQMUUCX98KarWK2rTpk29vDgZvqJy+eWXj9OMdUigSRMoxTWsRYvMVGT+Gua77fLXTL880xucy/qFvtq2bZtpl7Y+17CssLERCZBAAxPgTo8GvgHsngRIgARIgARIgARIgARIgAQyJbDeeuvJhx9+mGzmux9JFuRwgTM0brrpJisBOz5eeOGFtNLgCsZ1oZLKGOOX+e6rOnfuHOgvHweAw32MO76tttpKYOCJE1ZeeeU41erV8e+N79arXgNmkEAzIFCKaxjO6fDD3LlzI137+Z/t1VZbLdC8a9eu8tFHHyXz4IbQX9eShTEuwsY3cODAGC0TVeKeG+IL9OfJNcwnxDQJkEApEqDRoxTvCsdEAiRAAiRAAiRAAiRAAiRAAikIQHnvhpdfflkGDRrkZuV83a1bN9lmm23smR4Qht0e6YKv9Pvkk09kwIABoc1Q5gb/TI5VVlnFLQ4YKwIFGSRgWHnxxReTLYYMGSK77LJLMp3vC/jgf/755wNie/bsGUgzQQLNkUAprmEVFRWCNcw1jH722WfSu3fv0Fs0Y8aMQD6MHG7o0qWLmxS4u/LnHaiQJoGdIjBcuAbvESNGSCo3gmlEpi3mGpYWESuQAAmUKIHM9u6V6CQ4LBIgARIgARIgARIgARIgARJoTgQ22GCDwHSfe+458V2QBCpkmTjwwAOTLV1FIDJ91y7I840ed999tyxevBhFgQBXVb4RxW/rPxH9+OOPS1VVVUCOm/D957tlet29e3e9tPH1118v+dhBEhDqJMaPHy/+WSB8StoBxMtmS6BU1zD/sPH7778/9B5hvXnllVcCZb6Rw09jDUsV/DOHwuquvfbagexrr702dC0OVMohwTUsB3hsSgIk0KAEaPRoUPzsnARIgARIgARIgARIgARIgAQyJ4CnfXEQsBtw2Hi+w3bbbVevn1R9oL4bcNDu6NGj3Sx7feONNwaepkbm9ttvH6gH5aN7iDCMB/fee2+gjiZg8HnppZc0GRlj54or8+OPP5bDDjtMfFdbkQIyLPDHu8cee2TtVz/DrlmdBEqaQKmuYTvvvHOA29ixY+W1114L5OGsjvPPPz+Qh/XYN+RssskmgTowTn/wwQeBPE1MnjxZsF6mC4MHDw5UefDBB+XSSy+Vv/76K5CfrwTXsHyRpBwSIIFiEyi/0IRid8r+SIAESIAESIAESIAESIAESIAEsicANyfwNf/2228nhXz66acybNgwyeSw2+uuuy7ZHkpI32iBg32h4JsyZUqynl70799f+vbtq0kb45Dub7/9VqZPn57Mf/PNN+W///2v4FwQ5I8ZM0buuuuuZDku4JrroIMOCuRhHq1atZJJkyYl8ydOnGh3Ziy99NI2b/bs2QJF4mmnnSY//vhjsh4udthhB8G5AW5YaqmlrE/9cePGJbMh49Zbb7Xt58+fL3/88Yd9YWcL3MjAHRZc3PgKzaSAiIuZM2fKZZddFig988wzxX+SPFCBCRJoJgRKdQ2D+7knn3xScP6GBqSxfv3888/y7rvvyiWXXCJvvPGGFtv4oosuko022iiQhzM4pk2bJu4OjoceesgakrG2LVq0SD7//HO76+3ss88OtEXi4IMPFv/Ad7jQgnHEXWPff/99u6ZCHtYv7F6DkRj9vvPOO3aNxFru7zyp16GXwTXMA8IkCZBAoyJQZrYk1zaqEXOwJEACJEACJEACJEACJEACJEAC1j98v379AiSwkwAum6BQjBPcczRgMIEyzw8wYmyxxRZ+tpx11lly9NFH18uHEWHLLbesl58qA8aMbuYMET9A0QjDCuJ0AU9au66krrrqKtl3333rNcNP4OHDhyfPKqlXISQDBqGnn346pCQ8CwYp3ItZs2YlK8DYgbNXcG4AAwmQgJTsGgZD6jHHHBP7FsE134QJE0I/2++99574uzOiBPtrGHaYVFZW1qv+v//9T7D2x1kXtfFxxx0np59+uibTxlzD0iJiBRIggRInQPdWJX6DODwSIAESIAESIAESIAESIAESCCOw6qqr2h0ObhkU8yeeeKJ92tfNz+UaZ2vsuOOOsUXgaeKnnnpK/IPIwwSgDvzchxk8UB+uqPBkdDpZKI+r0INB6JZbbpGTTz45bEihedjpETd8+eWXMnTo0IDBA21hUKLBIy5F1msOBEp1Ddt1113lmmuuiXULNt10U4ELrKjPdp8+fQTnbqQLAwYMiG0cWXbZZeXVV1+1htV0crXc3W2ieVEx17AoMswnARJoTARo9GhMd4tjJQESIAESIAESIAESIAESIAGHwBFHHCHYheAGGBygQBs1apRMnTrVupuqrq52q4Ret23bNjQfme6B5loJrqKiAty84IyNAw44IPRMEDzRvM8++wjcTEEpmCr06tXLumfZbbfdAudxoA2MIvDBjwPTM3E/hbmedNJJdrfHnnvumdaogr6inqpeuHChfPXVVwKf/P/85z8F54bALZYb4LoL7sAYSIAEggRKdQ3be++9BYd4Yy11zwHS0WN3B9zq4UyNlVdeWbNDY+z0eP7558U/4wOVIWfIkCGCc45gYI4bYOjFeUnof6uttgodoysLLq+iAtewKDLMJwESaMwE6N6qMd89jp0ESIAESIAESIAESIAESKDZE4Crk7///e/23IwoGDhDwz+vI6puIfJ//fXXpF977OqA0SObANdU33zzjfVp36lTJ3s+hrrygmEHrrigoIRBpk2bNrHdfGEsOLsErrngtx/XaL/MMstYRSTiqAA3WjfccENUsX0aG096Rz0JHtmQBSTQTAiU+hqGdQdrC144a2jNNddMa2SIunVYp7BzDGeGYC1caaWVklXhUgpncmD9wqt169bJsjgXaIuziBCjH6xhWGthTEll1OYaFocu65AACTQ2AnQm2tjuGMdLAiRAAiRAAiRAAiRAAiRAAg4BuDp57LHH7KHZDz/8sFNSd4mDbxsy4IBzvHINMHDgyWi8/ACjQli+Xy8qDQVhjx497CuqTlg+FKFRAeee4El2GjyiCDGfBERKfQ3DugNXXHjlGrAW4LD0sNC+fXvBK9vQoUMHWX/99TNuzjUsY2RsQAIk0AgI0L1VI7hJHCIJkAAJkAAJkAAJkAAJkAAJpCKAnQhXXnmlPR9jv/32q/cU8vfff5+qOctyIIDdIW6A2xkc8I7D2RHT4OHS4TUJhBPgGhbOpRi5XMOKQZl9kAAJFJsA3VsVmzj7IwESIAESIAESIAESIAESIIECE1BXT7/88ovMnz/fPqEMVyoM+SeAc1PgqgY7WeByC0YPdbmV/94okQSaBwGuYcW7z1zDiseaPZEACRSPAI0exWPNnkiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABApIgO6tCgiXokmABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABIpHgEaP4rFmTyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAgUkQKNHAeFSNAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQPEI0OhRPNbsiQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIoIAEaPQoIFyKJgESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESKB4BGj2Kx5o9kQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJFJAAjR4FhEvRJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACxSNAo0fxWLMnEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBAhKg0aOAcCmaBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEigeARo9Cgea/ZEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRQQAI0ehQQLkWTAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkUjwCNHsVjzZ5IgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAQKSIBGjwLCpWgSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIIHiEaDRo3is2RMJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEABCdDoUUC4FE0CJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJFA8AjR6FI81eyIBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiggARo9CgiXokmABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABIpHgEaP4rFmTyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAgUkQKNHAeFSNAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQPEI0OhRPNbsiQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIoIAEaPQoIFyKJgESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESKB4BGj2Kx5o9kQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJFJAAjR4FhEvRJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACxSNAo0fxWLMnEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBAhKg0aOAcCmaBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEigeARo9Cgea/ZEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRQQAI0ehQQLkWTAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkUjwCNHsVjzZ5IgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAQKSIBGjwLCpWgSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIIHiEaDRo3is2RMJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEABCdDoUUC4FE0CJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJFA8AjR6FI81eyIBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiggARo9CgiXokmABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABIpHgEaP4rFmTyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAgUkQKNHAeFSNAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQPEI0OhRPNbsiQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIoIAEaPQoIFyKJgESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESKB4BGj2Kx5o9kQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJFJAAjR4FhEvRJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACxSNAo0fxWLMnEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBAhKg0aOAcCmaBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEigeARo9Cgea/ZEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRQQAI0ehQQLkWTAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkUjwCNHsVjzZ5IgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAQKSIBGjwLCpWgSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIIHiEaDRo3is2RMJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEABCdDoUUC4FE0CJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJFA8AjR6FI81eyIBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiggARo9CgiXokmABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABIpHgEaP4rFmTyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAgUkQKNHAeFSNAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQPEI0OhRPNbsiQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIoIAEaPQoIFyKJgESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESKB4BGj2Kx5o9kQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJFJAAjR4FhEvRJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACxSNAo0fxWLMnEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBAhKg0aOAcCmaBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEigeARo9Cgea/ZEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRQQAL/D2QsXoszqvK7AAAAAElFTkSuQmCC" } }, @@ -39,35 +30,71 @@ "\n", "We'll focus on ideas from one paper, `Corrective RAG (CRAG)` [here](https://arxiv.org/pdf/2401.15884.pdf).\n", "\n", - "![Screenshot 2024-02-07 at 1.21.51 PM.png](attachment:9db7f9db-55aa-48cb-95d5-bcde3f937589.png)\n", + "![Screenshot 2024-02-07 at 1.21.51 PM.png](attachment:a65940f9-5c51-4d7c-9ca1-ae576e4bb51a.png)\n", "\n", - "## Dependencies\n", + "## Setup\n", "\n", - "Set `MISTRAL_API_KEY` and set up Subscription to activate it.\n", + "### Using APIs \n", "\n", - "Set `TAVILY_API_KEY` to enable web search [here](https://app.tavily.com/sign-in).\n", + "* Set `MISTRAL_API_KEY` and set up Subscription to activate it.\n", + "* Set `TAVILY_API_KEY` to enable web search [here](https://app.tavily.com/sign-in).\n", "\n", - "If you want to run this locally, use [Ollama](https://ollama.ai/library/mistral/tags):\n", + "### Using CoLab \n", "\n", - "* Download [Ollama app](https://ollama.ai/)\n", - "* Download Mistral e.g., `ollama pull mistral:7b-instruct`\n", + "* [Here](https://colab.research.google.com/drive/1U5OcwWjoXZSud30q4XOk1UlIJNjaD3kX?usp=sharing) is a link to a CoLab for this notebook. \n", "\n", - "Optionally, use [LangSmith](https://docs.smith.langchain.com/) for tracing (shown at bottom)." + "### Running Locally \n", + "\n", + "If you want to run this locally (e.g., on your laptop), use [Ollama](https://ollama.ai/library/mistral/tags):\n", + "\n", + "* Download [Ollama app](https://ollama.ai/).\n", + "* Download a `Mistral` model e.g., `ollama pull mistral:7b-instruct`, from various Mistral versions [here](https://ollama.ai/library/mistral) and Mixtral versions [here](https://ollama.ai/library/mixtral) available.\n", + "* Download LLaMA2 `ollama pull llama2:latest` to use Ollama embeddings.\n", + "* Set flags indicating we will run locally and the Mistral model downloaded:\n", + " \n", + "```\n", + "run_local = \"Yes\"\n", + "local_llm = \"mistral:7b-instruct\"\n", + "```\n", + "\n", + "### Tracing \n", + "\n", + "* Optionally, use [LangSmith](https://docs.smith.langchain.com/) for tracing (shown at bottom) by setting: \n", + "\n", + "```\n", + "export LANGCHAIN_TRACING_V2=true\n", + "export LANGCHAIN_ENDPOINT=https://api.smith.langchain.com\n", + "export LANGCHAIN_API_KEY=\n", + "```" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "id": "abc064ab-7de1-4d03-a987-cd3078438d61", "metadata": {}, "outputs": [], "source": [ + "# Check API keys\n", "import os\n", "\n", "mistral_api_key = os.environ.get(\"MISTRAL_API_KEY\")\n", "tavily_api_key = os.environ.get(\"TAVILY_API_KEY\")" ] }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9f644869-436e-4bf6-a267-b2465c7b5aef", + "metadata": {}, + "outputs": [], + "source": [ + "# Flags for running locally\n", + "\n", + "run_local = \"Yes\"\n", + "local_llm = \"mistral:instruct\"" + ] + }, { "cell_type": "markdown", "id": "6e2b6eed-3b3f-44b5-a34a-4ade1e94caf0", @@ -75,22 +102,41 @@ "source": [ "## Indexing\n", "\n", - "First, let's index a popular blog post on agents using [Mistral embeddings](https://python.langchain.com/docs/integrations/text_embedding/mistralai).\n", + "First, let's index a popular blog post on agents. \n", + "\n", + "We can use [Mistral embeddings](https://python.langchain.com/docs/integrations/text_embedding/mistralai).\n", + "\n", + "For local, we can use [GPT4All](https://python.langchain.com/docs/integrations/text_embedding/gpt4all), which is a CPU optimized SBERT model [here](https://docs.gpt4all.io/gpt4all_python_embedding.html).\n", "\n", "We'll use a local vectorstore, [Chroma](https://python.langchain.com/docs/integrations/vectorstores/chroma)." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "id": "254ae533-79e0-42f4-b200-1ec9160e1d3d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "bert_load_from_file: gguf version = 2\n", + "bert_load_from_file: gguf alignment = 32\n", + "bert_load_from_file: gguf data offset = 695552\n", + "bert_load_from_file: model name = BERT\n", + "bert_load_from_file: model architecture = bert\n", + "bert_load_from_file: model file type = 1\n", + "bert_load_from_file: bert tokenizer vocab = 30522\n" + ] + } + ], "source": [ "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", "from langchain_community.document_loaders import WebBaseLoader\n", "from langchain_community.vectorstores import Chroma\n", "from langchain_mistralai import MistralAIEmbeddings\n", + "from langchain_community.embeddings import GPT4AllEmbeddings\n", "\n", "# Load\n", "url = \"https://lilianweng.github.io/posts/2023-06-23-agent/\"\n", @@ -104,7 +150,12 @@ "all_splits = text_splitter.split_documents(docs)\n", "\n", "# Embed and index\n", - "embedding = MistralAIEmbeddings(mistral_api_key=mistral_api_key)\n", + "if run_local == \"Yes\":\n", + " embedding = GPT4AllEmbeddings()\n", + "else:\n", + " embedding = MistralAIEmbeddings(mistral_api_key=mistral_api_key)\n", + "\n", + "# Index\n", "vectorstore = Chroma.from_documents(\n", " documents=all_splits,\n", " collection_name=\"rag-chroma\",\n", @@ -150,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, "id": "10028794-2fbc-43f9-aa4c-7fe3abd69c1e", "metadata": {}, "outputs": [], @@ -187,7 +238,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "id": "447d1333-082d-479a-a6fa-0ac0df78bb9d", "metadata": {}, "outputs": [], @@ -250,7 +301,7 @@ "\n", " # LLM\n", " if local == \"Yes\":\n", - " llm = ChatOllama(model=\"mistral:7b-instruct\", temperature=0)\n", + " llm = ChatOllama(model=local_llm, temperature=0)\n", " else:\n", " llm = ChatMistralAI(\n", " model=\"mistral-medium\", temperature=0, mistral_api_key=mistral_api_key\n", @@ -289,7 +340,7 @@ "\n", " # LLM\n", " if local == \"Yes\":\n", - " llm = ChatOllama(model=\"mistral:7b-instruct\", format=\"json\", temperature=0)\n", + " llm = ChatOllama(model=local_llm, format=\"json\", temperature=0)\n", " else:\n", " llm = ChatMistralAI(\n", " mistral_api_key=mistral_api_key, temperature=0, model=\"mistral-medium\"\n", @@ -315,7 +366,7 @@ " If the document contains keywords related to the user question, grade it as relevant. \\n\n", " It does not need to be a stringent test. The goal is to filter out erroneous retrievals. \\n\n", " Give a binary score 'yes' or 'no' score to indicate whether the document is relevant to the question. \\n\n", - " Provide the binary scor as a JSON with no premable or explaination and use these instructons to format the output: {format_instructions}\"\"\",\n", + " Provide the binary score as a JSON with no premable or explaination and use these instructons to format the output: {format_instructions}\"\"\",\n", " input_variables=[\"query\"],\n", " partial_variables={\"format_instructions\": parser.get_format_instructions()},\n", " )\n", @@ -377,14 +428,14 @@ " \\n ------- \\n\n", " {question} \n", " \\n ------- \\n\n", - " Formulate an improved question: \"\"\",\n", + " Provide an improved question without any premable, only respond with the updated question: \"\"\",\n", " input_variables=[\"question\"],\n", " )\n", "\n", " # Grader\n", " # LLM\n", " if local == \"Yes\":\n", - " llm = ChatOllama(model=\"mistral:7b-instruct\", temperature=0)\n", + " llm = ChatOllama(model=local_llm, temperature=0)\n", " else:\n", " llm = ChatMistralAI(\n", " mistral_api_key=mistral_api_key, temperature=0, model=\"mistral-medium\"\n", @@ -468,7 +519,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "id": "0a63776c-f9cd-46ce-b8cf-95c066dc5b06", "metadata": {}, "outputs": [], @@ -564,7 +615,7 @@ "inputs = {\n", " \"keys\": {\n", " \"question\": \"Explain how the different types of agent memory work?\",\n", - " \"local\": \"No\",\n", + " \"local\": run_local,\n", " }\n", "}\n", "for output in app.stream(inputs):\n", @@ -589,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "id": "16ea2032-59c7-433d-aca4-2828a1239074", "metadata": {}, "outputs": [ @@ -601,34 +652,45 @@ "\"Node 'retrieve':\"\n", "'\\n---\\n'\n", "---CHECK RELEVANCE---\n", - "---GRADE: DOCUMENT NOT RELEVANT---\n", - "---GRADE: DOCUMENT NOT RELEVANT---\n", + "---GRADE: DOCUMENT RELEVANT---\n", + "---GRADE: DOCUMENT RELEVANT---\n", "---GRADE: DOCUMENT RELEVANT---\n", "---GRADE: DOCUMENT RELEVANT---\n", "\"Node 'grade_documents':\"\n", "'\\n---\\n'\n", "---DECIDE TO GENERATE---\n", - "---DECISION: TRANSFORM QUERY and RUN WEB SEARCH---\n", - "---TRANSFORM QUERY---\n", - "\"Node 'transform_query':\"\n", - "'\\n---\\n'\n", - "---WEB SEARCH---\n", - "\"Node 'web_search':\"\n", - "'\\n---\\n'\n", + "---DECISION: GENERATE---\n", "---GENERATE---\n", "\"Node 'generate':\"\n", "'\\n---\\n'\n", "\"Node '__end__':\"\n", "'\\n---\\n'\n", - "('There are three types of agent memory in artificial intelligence systems: '\n", - " 'sensory memory, short-term memory, and long-term memory. Sensory memory is '\n", - " 'the learning embedding representations for raw inputs such as text, image or '\n", - " 'other modalities. Short-term memory is in-context learning that is short and '\n", - " 'finite, restricted by the finite context window length of Transformer. '\n", - " 'Long-term memory is an external vector store that the agent can attend to at '\n", - " 'query time, accessible via fast retrieval. The external memory can alleviate '\n", - " 'the restriction of finite attention span by using approximate nearest '\n", - " 'neighbors (ANN) algorithms such as maximum inner product search (MIPS).')\n" + "(' In an LLM (large language model)-powered autonomous agent system, LLM '\n", + " 'functions as the agent’s brain, complemented by several key components: '\n", + " 'planning and memory.\\n'\n", + " '\\n'\n", + " 'Planning involves breaking down large tasks into smaller subgoals for '\n", + " 'efficient handling of complex tasks and self-criticism and refinement to '\n", + " 'improve results.\\n'\n", + " '\\n'\n", + " 'Memory includes short-term memory, which utilizes in-context learning, and '\n", + " 'long-term memory, providing the agent with the capability to retain and '\n", + " 'recall information over extended periods using an external vector store and '\n", + " 'fast retrieval. The agent also learns to call external APIs for missing '\n", + " 'information.\\n'\n", + " '\\n'\n", + " 'Types of Memory:\\n'\n", + " '1. Sensory Memory: retains impressions of sensory information for a few '\n", + " 'seconds.\\n'\n", + " '2. Short-Term Memory (STM) or Working Memory: stores information needed for '\n", + " 'complex cognitive tasks and lasts for 20-30 seconds.\\n'\n", + " '3. Long-Term Memory (LTM): stores information for a remarkably long time, '\n", + " 'with two subtypes: explicit/declarative memory and implicit/procedural '\n", + " 'memory.\\n'\n", + " '\\n'\n", + " 'The agent uses LLM as its core controller, which can be extended beyond '\n", + " 'generating well-written copies, stories, essays, and programs to a powerful '\n", + " 'general problem solver.')\n" ] } ], @@ -637,7 +699,7 @@ "inputs = {\n", " \"keys\": {\n", " \"question\": \"Explain how the different types of agent memory work?\",\n", - " \"local\": \"Yes\",\n", + " \"local\": run_local,\n", " }\n", "}\n", "for output in app.stream(inputs):\n", @@ -665,8 +727,16 @@ "\n", "`Locall (Ollama) -` \n", "\n", - "https://smith.langchain.com/public/6b626f5e-248d-4d52-b36b-5cc3bf0b95d3/r" + "https://smith.langchain.com/public/fd650c43-b0e9-48f4-8cb7-ca77c736d10d/r" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "deb28175-27a1-4afc-9747-2983e87fc881", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -685,7 +755,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.11.7" } }, "nbformat": 4, From e97cd22a186eefa4defff2924c3c67da56c97e8e Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Sun, 11 Feb 2024 21:14:07 -0800 Subject: [PATCH 02/14] add self discover notebook --- examples/self-discover/self-discover.ipynb | 479 +++++++++++++++++++++ 1 file changed, 479 insertions(+) create mode 100644 examples/self-discover/self-discover.ipynb diff --git a/examples/self-discover/self-discover.ipynb b/examples/self-discover/self-discover.ipynb new file mode 100644 index 000000000..fa337d58a --- /dev/null +++ b/examples/self-discover/self-discover.ipynb @@ -0,0 +1,479 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a38e5d2d-7587-4192-90f2-b58e6c62f08c", + "metadata": {}, + "source": [ + "# Self Discover\n", + "\n", + "An implementation of the [Self-Discover paper](https://arxiv.org/pdf/2402.03620.pdf).\n", + "\n", + "Based on [this implementation from @catid](https://github.com/catid/self-discover/tree/main?tab=readme-ov-file)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a18d8f24-5d9a-45c5-9739-6f3c4ed6c9c9", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_openai import ChatOpenAI" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9f554045-6e79-42d3-be4b-835bbbd0b78c", + "metadata": {}, + "outputs": [], + "source": [ + "model = ChatOpenAI(temperature=0, model=\"gpt-4-turbo-preview\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9e9925aa-638a-4862-823e-9803402b8f82", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain import hub\n", + "from langchain_core.prompts import PromptTemplate" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "c4cc5c8c-f6a5-42c7-9ed5-780d79b3b29a", + "metadata": {}, + "outputs": [], + "source": [ + "select_prompt = hub.pull(\"hwchase17/self-discovery-select\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a5b53d29-f5b6-4f39-af97-bb6b133e1d18", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Select several reasoning modules that are crucial to utilize in order to solve the given task:\n", + "\n", + "All reasoning module descriptions:\n", + "\u001b[33;1m\u001b[1;3m{reasoning_modules}\u001b[0m\n", + "\n", + "Task: \u001b[33;1m\u001b[1;3m{task_description}\u001b[0m\n", + "\n", + "Select several modules are crucial for solving the task above:\n", + "\n" + ] + } + ], + "source": [ + "select_prompt.pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "26eaa6bc-5202-4b22-9522-33f227c8eb55", + "metadata": {}, + "outputs": [], + "source": [ + "adapt_prompt = hub.pull(\"hwchase17/self-discovery-adapt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "dc30afb9-180d-417b-9935-f7ef166710b8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rephrase and specify each reasoning module so that it better helps solving the task:\n", + "\n", + "SELECTED module descriptions:\n", + "\u001b[33;1m\u001b[1;3m{selected_modules}\u001b[0m\n", + "\n", + "Task: \u001b[33;1m\u001b[1;3m{task_description}\u001b[0m\n", + "\n", + "Adapt each reasoning module description to better solve the task:\n", + "\n" + ] + } + ], + "source": [ + "adapt_prompt.pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "a93253a9-8f50-49dd-8815-c3927bae1905", + "metadata": {}, + "outputs": [], + "source": [ + "structured_prompt = hub.pull(\"hwchase17/self-discovery-structure\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "8ea8dd78-4285-400b-83d2-c4a241903a79", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Operationalize the reasoning modules into a step-by-step reasoning plan in JSON format:\n", + "\n", + "Here's an example:\n", + "\n", + "Example task:\n", + "\n", + "If you follow these instructions, do you return to the starting point? Always face forward. Take 1 step backward. Take 9 steps left. Take 2 steps backward. Take 6 steps forward. Take 4 steps forward. Take 4 steps backward. Take 3 steps right.\n", + "\n", + "Example reasoning structure:\n", + "\n", + "{\n", + " \"Position after instruction 1\":\n", + " \"Position after instruction 2\":\n", + " \"Position after instruction n\":\n", + " \"Is final position the same as starting position\":\n", + "}\n", + "\n", + "Adapted module description:\n", + "\u001b[33;1m\u001b[1;3m{adapted_modules}\u001b[0m\n", + "\n", + "Task: \u001b[33;1m\u001b[1;3m{task_description}\u001b[0m\n", + "\n", + "Implement a reasoning structure for solvers to follow step-by-step and arrive at correct answer.\n", + "\n", + "Note: do NOT actually arrive at a conclusion in this pass. Your job is to generate a PLAN so that in the future you can fill it out and arrive at the correct conclusion for tasks like this\n" + ] + } + ], + "source": [ + "structured_prompt.pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "f3d4d79d-f414-4588-b476-4a35b3ba6fbf", + "metadata": {}, + "outputs": [], + "source": [ + "reasoning_prompt = hub.pull(\"hwchase17/self-discovery-reasoning\")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "23d1e32e-d12e-454a-8484-c08e250e3262", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Follow the step-by-step reasoning plan in JSON to correctly solve the task. Fill in the values following the keys by reasoning specifically about the task given. Do not simply rephrase the keys.\n", + " \n", + "Reasoning Structure:\n", + "\u001b[33;1m\u001b[1;3m{reasoning_structure}\u001b[0m\n", + "\n", + "Task: \u001b[33;1m\u001b[1;3m{task_description}\u001b[0m\n" + ] + } + ], + "source": [ + "reasoning_prompt.pretty_print()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "7b9af01d-da28-4785-b069-efea61905cfa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PromptTemplate(input_variables=['reasoning_structure', 'task_instance'], template='Follow the step-by-step reasoning plan in JSON to correctly solve the task. Fill in the values following the keys by reasoning specifically about the task given. Do not simply rephrase the keys.\\n \\nReasoning Structure:\\n{reasoning_structure}\\n\\nTask: {task_instance}')" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "reasoning_prompt" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "399bf160-e257-429f-b27e-66d4063f195f", + "metadata": {}, + "outputs": [], + "source": [ + "_prompt = \"\"\"Follow the step-by-step reasoning plan in JSON to correctly solve the task. Fill in the values following the keys by reasoning specifically about the task given. Do not simply rephrase the keys.\\n \\nReasoning Structure:\\n{reasoning_structure}\\n\\nTask: {task_description}\"\"\"\n", + "_prompt = PromptTemplate.from_template(_prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "6e047e3a-b1c2-4a3b-abc7-eb84de6874e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://smith.langchain.com/hub/hwchase17/self-discovery-reasoning/48340707'" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hub.push(\"hwchase17/self-discovery-reasoning\", _prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "7f66d61e-6dcd-4462-b67b-29c5de56e238", + "metadata": {}, + "outputs": [], + "source": [ + "class SelfDiscoverState(TypedDict):\n", + " reasoning_modules: str\n", + " task_description: str\n", + " selected_modules: Optional[str]\n", + " adapted_modules: Optional[str]\n", + " reasoning_structure: Optional[str]\n", + " answer: Optional[str]" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "5c3bd203-7dc1-457e-813f-283aaf059ec0", + "metadata": {}, + "outputs": [], + "source": [ + "def select(inputs):\n", + " select_chain = select_prompt | model | StrOutputParser()\n", + " return {\"selected_modules\": select_chain.invoke(inputs)}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "86420da0-7cc2-4659-853e-9c3ef808e47c", + "metadata": {}, + "outputs": [], + "source": [ + "def adapt(inputs):\n", + " adapt_chain = adapt_prompt | model | StrOutputParser()\n", + " return {\"adapted_modules\": adapt_chain.invoke(inputs)}" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "270a3905-58a3-4650-96ca-e8254040285f", + "metadata": {}, + "outputs": [], + "source": [ + "def structure(inputs):\n", + " structure_chain = structured_prompt | model | StrOutputParser()\n", + " return {\"reasoning_structure\": structure_chain.invoke(inputs)}" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "55b486cc-36be-497e-9eba-9c8dc228f2d1", + "metadata": {}, + "outputs": [], + "source": [ + "def reason(inputs):\n", + " reasoning_chain = reasoning_prompt | model | StrOutputParser()\n", + " return {\"answer\": reasoning_chain.invoke(inputs)}" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "d9e2e4ce-dc9d-45a5-a218-34ab4fb62bc4", + "metadata": {}, + "outputs": [], + "source": [ + "from langgraph.graph import StateGraph, END\n", + "from typing import TypedDict, Optional" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "26276404-0134-40a0-a796-cc9927c153ee", + "metadata": {}, + "outputs": [], + "source": [ + "graph = StateGraph(SelfDiscoverState)\n", + "graph.add_node(\"select\", select)\n", + "graph.add_node(\"adapt\", adapt)\n", + "graph.add_node(\"structure\", structure)\n", + "graph.add_node(\"reason\", reason)\n", + "graph.add_edge(\"select\", \"adapt\")\n", + "graph.add_edge(\"adapt\", \"structure\")\n", + "graph.add_edge(\"structure\", \"reason\")\n", + "graph.add_edge(\"reason\", END)\n", + "graph.set_entry_point(\"select\")\n", + "app = graph.compile()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "29fe385b-cf5d-4581-80e7-55462f5628bb", + "metadata": {}, + "outputs": [], + "source": [ + "reasoning_modules = [\n", + " \"1. How could I devise an experiment to help solve that problem?\",\n", + " \"2. Make a list of ideas for solving this problem, and apply them one by one to the problem to see if any progress can be made.\",\n", + " #\"3. How could I measure progress on this problem?\",\n", + " \"4. How can I simplify the problem so that it is easier to solve?\",\n", + " \"5. What are the key assumptions underlying this problem?\",\n", + " \"6. What are the potential risks and drawbacks of each solution?\",\n", + " \"7. What are the alternative perspectives or viewpoints on this problem?\",\n", + " \"8. What are the long-term implications of this problem and its solutions?\",\n", + " \"9. How can I break down this problem into smaller, more manageable parts?\",\n", + " \"10. Critical Thinking: This style involves analyzing the problem from different perspectives, questioning assumptions, and evaluating the evidence or information available. It focuses on logical reasoning, evidence-based decision-making, and identifying potential biases or flaws in thinking.\",\n", + " \"11. Try creative thinking, generate innovative and out-of-the-box ideas to solve the problem. Explore unconventional solutions, thinking beyond traditional boundaries, and encouraging imagination and originality.\",\n", + " #\"12. Seek input and collaboration from others to solve the problem. Emphasize teamwork, open communication, and leveraging the diverse perspectives and expertise of a group to come up with effective solutions.\",\n", + " \"13. Use systems thinking: Consider the problem as part of a larger system and understanding the interconnectedness of various elements. Focuses on identifying the underlying causes, feedback loops, and interdependencies that influence the problem, and developing holistic solutions that address the system as a whole.\",\n", + " \"14. Use Risk Analysis: Evaluate potential risks, uncertainties, and tradeoffs associated with different solutions or approaches to a problem. Emphasize assessing the potential consequences and likelihood of success or failure, and making informed decisions based on a balanced analysis of risks and benefits.\",\n", + " #\"15. Use Reflective Thinking: Step back from the problem, take the time for introspection and self-reflection. Examine personal biases, assumptions, and mental models that may influence problem-solving, and being open to learning from past experiences to improve future approaches.\",\n", + " \"16. What is the core issue or problem that needs to be addressed?\",\n", + " \"17. What are the underlying causes or factors contributing to the problem?\",\n", + " \"18. Are there any potential solutions or strategies that have been tried before? If yes, what were the outcomes and lessons learned?\",\n", + " \"19. What are the potential obstacles or challenges that might arise in solving this problem?\",\n", + " \"20. Are there any relevant data or information that can provide insights into the problem? If yes, what data sources are available, and how can they be analyzed?\",\n", + " \"21. Are there any stakeholders or individuals who are directly affected by the problem? What are their perspectives and needs?\",\n", + " \"22. What resources (financial, human, technological, etc.) are needed to tackle the problem effectively?\",\n", + " \"23. How can progress or success in solving the problem be measured or evaluated?\",\n", + " \"24. What indicators or metrics can be used?\",\n", + " \"25. Is the problem a technical or practical one that requires a specific expertise or skill set? Or is it more of a conceptual or theoretical problem?\",\n", + " \"26. Does the problem involve a physical constraint, such as limited resources, infrastructure, or space?\",\n", + " \"27. Is the problem related to human behavior, such as a social, cultural, or psychological issue?\",\n", + " \"28. Does the problem involve decision-making or planning, where choices need to be made under uncertainty or with competing objectives?\",\n", + " \"29. Is the problem an analytical one that requires data analysis, modeling, or optimization techniques?\",\n", + " \"30. Is the problem a design challenge that requires creative solutions and innovation?\",\n", + " \"31. Does the problem require addressing systemic or structural issues rather than just individual instances?\",\n", + " \"32. Is the problem time-sensitive or urgent, requiring immediate attention and action?\",\n", + " \"33. What kinds of solution typically are produced for this kind of problem specification?\",\n", + " \"34. Given the problem specification and the current best solution, have a guess about other possible solutions.\"\n", + " \"35. Let’s imagine the current best solution is totally wrong, what other ways are there to think about the problem specification?\"\n", + " \"36. What is the best way to modify this current best solution, given what you know about these kinds of problem specification?\"\n", + " \"37. Ignoring the current best solution, create an entirely new solution to the problem.\"\n", + " #\"38. Let’s think step by step.\"\n", + " \"39. Let’s make a step by step plan and implement it with good notation and explanation.\"\n", + "]\n", + "\n", + "\n", + "task_example = \"Lisa has 10 apples. She gives 3 apples to her friend and then buys 5 more apples from the store. How many apples does Lisa have now?\"\n", + "\n", + "task_example = \"\"\"This SVG path element draws a:\n", + "(A) circle (B) heptagon (C) hexagon (D) kite (E) line (F) octagon (G) pentagon(H) rectangle (I) sector (J) triangle\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "6cbfbe81-f751-42da-843a-f9003ace663d", + "metadata": {}, + "outputs": [], + "source": [ + "reasoning_modules_str = \"\\n\".join(reasoning_modules)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "d411c7aa-7017-4d67-88b5-43b5d161c34c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'select': {'selected_modules': \"To solve the task of identifying the shape drawn by the given SVG path element, the following reasoning modules are crucial:\\n\\n1. **Critical Thinking (10)**: This involves analyzing the SVG path commands and coordinates logically to understand the shape they form. It requires questioning assumptions (e.g., not assuming the shape based on a quick glance at the coordinates but rather analyzing the path commands) and evaluating the information given in the SVG path data.\\n\\n2. **Simplification (4)**: Simplifying the problem by breaking down the SVG path commands can make it easier to visualize and understand the shape being drawn. This might involve sketching the path based on the commands and coordinates or using a tool to render the SVG path.\\n\\n3. **Systems Thinking (13)**: Understanding the SVG path as part of a larger system (in this case, the SVG coordinate system and how path commands work) helps in comprehending how the individual commands come together to form a complete shape.\\n\\n4. **Analytical Problem Solving (29)**: This task requires data analysis skills to interpret the SVG path commands and coordinates. Understanding how 'M' (moveto), 'L' (lineto), and other commands work is essential for determining the shape.\\n\\n5. **Creative Thinking (11)**: While not as directly applicable as the other modules, creative thinking can aid in visualizing the shape that the path commands are intended to draw, especially if the shape is complex or if the path commands are not immediately clear.\\n\\n6. **Visualization (30)**: Although not explicitly listed, a module focused on visualization would be highly relevant here. Visualizing the path that the 'M' and 'L' commands create from the given coordinates can directly lead to identifying the shape.\\n\\nGiven the task's nature, modules focused on experimentation, risk analysis, stakeholder perspectives, and long-term implications (e.g., 1, 14, 21, 8) are less relevant. The task is primarily analytical and technical, requiring an understanding of SVG path syntax and geometry rather than broader problem-solving or decision-making strategies.\"}}\n", + "{'adapt': {'adapted_modules': \"1. **Detailed Path Analysis (10)**: This module focuses on a thorough examination of the SVG path commands and their corresponding coordinates to accurately deduce the shape they outline. It involves a critical approach where assumptions are set aside in favor of a detailed analysis of each command (e.g., 'M' for moveto, 'L' for lineto) and how these commands connect points in the SVG coordinate system to form a specific shape.\\n\\n2. **Path Decomposition (4)**: This involves breaking down the SVG path into more manageable segments or components to facilitate a clearer understanding of the overall shape. Techniques might include manually sketching the path as described by the commands and coordinates or utilizing digital tools to render the SVG path, thereby making the shape more apparent and easier to identify.\\n\\n3. **SVG System Analysis (13)**: Emphasizes the importance of understanding the SVG coordinate system and the functionality of path commands within this framework. This module is about seeing the SVG path not just as a series of commands but as part of the broader system of SVG graphics, where each command plays a specific role in shaping the final image.\\n\\n4. **Command Interpretation and Geometry (29)**: This module requires a deep dive into the syntax and semantics of SVG path commands, coupled with geometric reasoning to interpret the shape formed by these commands. Knowledge of how different commands like 'M' (moveto) and 'L' (lineto) contribute to the construction of geometric shapes is crucial for accurately identifying the shape in question.\\n\\n5. **Imaginative Visualization (11)**: While analytical skills are paramount, this module recognizes the role of creative thinking in visualizing the potential shapes that complex or ambiguous path commands might represent. It encourages thinking beyond the obvious and considering multiple geometric possibilities that fit the given path data.\\n\\n6. **Explicit Visualization (30)**: Directly focuses on the ability to visualize the trajectory formed by executing the SVG path commands, particularly 'M' and 'L'. This module is about using visualization techniques, whether mental or through software tools, to trace the path and see the resulting shape, thereby facilitating its identification.\\n\\nBy refining these modules to more directly address the task of interpreting SVG path elements, the process of identifying the drawn shape becomes more structured and focused on the specific skills and knowledge areas that are most relevant to the task.\"}}\n", + "{'structure': {'reasoning_structure': '```json\\n{\\n \"Step 1: Detailed Path Analysis\": {\\n \"Description\": \"Examine each SVG path command and its coordinates to understand the shape outline.\",\\n \"Actions\": [\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Move to starting point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"53.25,36.07\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"66.29,48.90\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"78.69,61.09\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Draw line to this point to close the shape.\"\\n }\\n ]\\n },\\n \"Step 2: Path Decomposition\": {\\n \"Description\": \"Break down the path into segments to simplify analysis.\",\\n \"Segments\": [\\n \"Segment 1: Move from (55.57,80.69) to (57.38,65.80)\",\\n \"Segment 2: Move from (57.38,65.80) to (48.90,57.46)\",\\n \"Segment 3: Move from (48.90,57.46) to (45.58,47.78)\",\\n \"Segment 4: Move from (45.58,47.78) to (53.25,36.07)\",\\n \"Segment 5: Move from (53.25,36.07) to (66.29,48.90)\",\\n \"Segment 6: Move from (66.29,48.90) to (78.69,61.09)\",\\n \"Segment 7: Move from (78.69,61.09) to (55.57,80.69)\"\\n ]\\n },\\n \"Step 3: SVG System Analysis\": {\\n \"Description\": \"Understand the role of each command within the SVG coordinate system.\",\\n \"Analysis\": [\\n {\\n \"Command\": \"M\",\\n \"Role\": \"Defines starting points for new sub-paths.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Role\": \"Creates straight lines between points.\"\\n }\\n ]\\n },\\n \"Step 4: Command Interpretation and Geometry\": {\\n \"Description\": \"Interpret the geometric shape formed by the path commands.\",\\n \"Geometric Principles\": [\\n \"Identify angles and lines created by \\'L\\' commands.\",\\n \"Determine the number of sides from the number of \\'L\\' commands.\"\\n ]\\n },\\n \"Step 5: Imaginative Visualization\": {\\n \"Description\": \"Visualize potential shapes that the path commands might represent.\",\\n \"Visualization Techniques\": [\\n \"Sketching the path based on command coordinates.\",\\n \"Mentally visualizing the path progression.\"\\n ]\\n },\\n \"Step 6: Explicit Visualization\": {\\n \"Description\": \"Use visualization tools to trace the path and see the resulting shape.\",\\n \"Tools\": [\\n \"Digital drawing software\",\\n \"SVG rendering tools\"\\n ]\\n },\\n \"Conclusion\": {\\n \"Description\": \"Based on the analysis and visualization, identify the shape.\",\\n \"Options\": [\\n \"Circle\",\\n \"Heptagon\",\\n \"Hexagon\",\\n \"Kite\",\\n \"Line\",\\n \"Octagon\",\\n \"Pentagon\",\\n \"Rectangle\",\\n \"Sector\",\\n \"Triangle\"\\n ],\\n \"Selected Option\": \"\"\\n }\\n}\\n```'}}\n", + "{'reason': {'answer': '```json\\n{\\n \"Step 1: Detailed Path Analysis\": {\\n \"Description\": \"Examine each SVG path command and its coordinates to understand the shape outline.\",\\n \"Actions\": [\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Move to starting point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"53.25,36.07\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"66.29,48.90\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"78.69,61.09\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Draw line to this point to close the shape.\"\\n }\\n ]\\n },\\n \"Step 2: Path Decomposition\": {\\n \"Description\": \"Break down the path into segments to simplify analysis.\",\\n \"Segments\": [\\n \"Segment 1: Move from (55.57,80.69) to (57.38,65.80)\",\\n \"Segment 2: Move from (57.38,65.80) to (48.90,57.46)\",\\n \"Segment 3: Move from (48.90,57.46) to (45.58,47.78)\",\\n \"Segment 4: Move from (45.58,47.78) to (53.25,36.07)\",\\n \"Segment 5: Move from (53.25,36.07) to (66.29,48.90)\",\\n \"Segment 6: Move from (66.29,48.90) to (78.69,61.09)\",\\n \"Segment 7: Move from (78.69,61.09) to (55.57,80.69)\"\\n ]\\n },\\n \"Step 3: SVG System Analysis\": {\\n \"Description\": \"Understand the role of each command within the SVG coordinate system.\",\\n \"Analysis\": [\\n {\\n \"Command\": \"M\",\\n \"Role\": \"Defines starting points for new sub-paths.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Role\": \"Creates straight lines between points.\"\\n }\\n ]\\n },\\n \"Step 4: Command Interpretation and Geometry\": {\\n \"Description\": \"Interpret the geometric shape formed by the path commands.\",\\n \"Geometric Principles\": [\\n \"Identify angles and lines created by \\'L\\' commands.\",\\n \"Determine the number of sides from the number of \\'L\\' commands.\"\\n ]\\n },\\n \"Step 5: Imaginative Visualization\": {\\n \"Description\": \"Visualize potential shapes that the path commands might represent.\",\\n \"Visualization Techniques\": [\\n \"Sketching the path based on command coordinates.\",\\n \"Mentally visualizing the path progression.\"\\n ]\\n },\\n \"Step 6: Explicit Visualization\": {\\n \"Description\": \"Use visualization tools to trace the path and see the resulting shape.\",\\n \"Tools\": [\\n \"Digital drawing software\",\\n \"SVG rendering tools\"\\n ]\\n },\\n \"Conclusion\": {\\n \"Description\": \"Based on the analysis and visualization, identify the shape.\",\\n \"Options\": [\\n \"Circle\",\\n \"Heptagon\",\\n \"Hexagon\",\\n \"Kite\",\\n \"Line\",\\n \"Octagon\",\\n \"Pentagon\",\\n \"Rectangle\",\\n \"Sector\",\\n \"Triangle\"\\n ],\\n \"Selected Option\": \"Pentagon\"\\n }\\n}\\n```'}}\n", + "{'__end__': {'reasoning_modules': '1. How could I devise an experiment to help solve that problem?\\n2. Make a list of ideas for solving this problem, and apply them one by one to the problem to see if any progress can be made.\\n4. How can I simplify the problem so that it is easier to solve?\\n5. What are the key assumptions underlying this problem?\\n6. What are the potential risks and drawbacks of each solution?\\n7. What are the alternative perspectives or viewpoints on this problem?\\n8. What are the long-term implications of this problem and its solutions?\\n9. How can I break down this problem into smaller, more manageable parts?\\n10. Critical Thinking: This style involves analyzing the problem from different perspectives, questioning assumptions, and evaluating the evidence or information available. It focuses on logical reasoning, evidence-based decision-making, and identifying potential biases or flaws in thinking.\\n11. Try creative thinking, generate innovative and out-of-the-box ideas to solve the problem. Explore unconventional solutions, thinking beyond traditional boundaries, and encouraging imagination and originality.\\n13. Use systems thinking: Consider the problem as part of a larger system and understanding the interconnectedness of various elements. Focuses on identifying the underlying causes, feedback loops, and interdependencies that influence the problem, and developing holistic solutions that address the system as a whole.\\n14. Use Risk Analysis: Evaluate potential risks, uncertainties, and tradeoffs associated with different solutions or approaches to a problem. Emphasize assessing the potential consequences and likelihood of success or failure, and making informed decisions based on a balanced analysis of risks and benefits.\\n16. What is the core issue or problem that needs to be addressed?\\n17. What are the underlying causes or factors contributing to the problem?\\n18. Are there any potential solutions or strategies that have been tried before? If yes, what were the outcomes and lessons learned?\\n19. What are the potential obstacles or challenges that might arise in solving this problem?\\n20. Are there any relevant data or information that can provide insights into the problem? If yes, what data sources are available, and how can they be analyzed?\\n21. Are there any stakeholders or individuals who are directly affected by the problem? What are their perspectives and needs?\\n22. What resources (financial, human, technological, etc.) are needed to tackle the problem effectively?\\n23. How can progress or success in solving the problem be measured or evaluated?\\n24. What indicators or metrics can be used?\\n25. Is the problem a technical or practical one that requires a specific expertise or skill set? Or is it more of a conceptual or theoretical problem?\\n26. Does the problem involve a physical constraint, such as limited resources, infrastructure, or space?\\n27. Is the problem related to human behavior, such as a social, cultural, or psychological issue?\\n28. Does the problem involve decision-making or planning, where choices need to be made under uncertainty or with competing objectives?\\n29. Is the problem an analytical one that requires data analysis, modeling, or optimization techniques?\\n30. Is the problem a design challenge that requires creative solutions and innovation?\\n31. Does the problem require addressing systemic or structural issues rather than just individual instances?\\n32. Is the problem time-sensitive or urgent, requiring immediate attention and action?\\n33. What kinds of solution typically are produced for this kind of problem specification?\\n34. Given the problem specification and the current best solution, have a guess about other possible solutions.35. Let’s imagine the current best solution is totally wrong, what other ways are there to think about the problem specification?36. What is the best way to modify this current best solution, given what you know about these kinds of problem specification?37. Ignoring the current best solution, create an entirely new solution to the problem.39. Let’s make a step by step plan and implement it with good notation and explanation.', 'task_description': 'This SVG path element draws a:\\n(A) circle (B) heptagon (C) hexagon (D) kite (E) line (F) octagon (G) pentagon(H) rectangle (I) sector (J) triangle', 'selected_modules': \"To solve the task of identifying the shape drawn by the given SVG path element, the following reasoning modules are crucial:\\n\\n1. **Critical Thinking (10)**: This involves analyzing the SVG path commands and coordinates logically to understand the shape they form. It requires questioning assumptions (e.g., not assuming the shape based on a quick glance at the coordinates but rather analyzing the path commands) and evaluating the information given in the SVG path data.\\n\\n2. **Simplification (4)**: Simplifying the problem by breaking down the SVG path commands can make it easier to visualize and understand the shape being drawn. This might involve sketching the path based on the commands and coordinates or using a tool to render the SVG path.\\n\\n3. **Systems Thinking (13)**: Understanding the SVG path as part of a larger system (in this case, the SVG coordinate system and how path commands work) helps in comprehending how the individual commands come together to form a complete shape.\\n\\n4. **Analytical Problem Solving (29)**: This task requires data analysis skills to interpret the SVG path commands and coordinates. Understanding how 'M' (moveto), 'L' (lineto), and other commands work is essential for determining the shape.\\n\\n5. **Creative Thinking (11)**: While not as directly applicable as the other modules, creative thinking can aid in visualizing the shape that the path commands are intended to draw, especially if the shape is complex or if the path commands are not immediately clear.\\n\\n6. **Visualization (30)**: Although not explicitly listed, a module focused on visualization would be highly relevant here. Visualizing the path that the 'M' and 'L' commands create from the given coordinates can directly lead to identifying the shape.\\n\\nGiven the task's nature, modules focused on experimentation, risk analysis, stakeholder perspectives, and long-term implications (e.g., 1, 14, 21, 8) are less relevant. The task is primarily analytical and technical, requiring an understanding of SVG path syntax and geometry rather than broader problem-solving or decision-making strategies.\", 'adapted_modules': \"1. **Detailed Path Analysis (10)**: This module focuses on a thorough examination of the SVG path commands and their corresponding coordinates to accurately deduce the shape they outline. It involves a critical approach where assumptions are set aside in favor of a detailed analysis of each command (e.g., 'M' for moveto, 'L' for lineto) and how these commands connect points in the SVG coordinate system to form a specific shape.\\n\\n2. **Path Decomposition (4)**: This involves breaking down the SVG path into more manageable segments or components to facilitate a clearer understanding of the overall shape. Techniques might include manually sketching the path as described by the commands and coordinates or utilizing digital tools to render the SVG path, thereby making the shape more apparent and easier to identify.\\n\\n3. **SVG System Analysis (13)**: Emphasizes the importance of understanding the SVG coordinate system and the functionality of path commands within this framework. This module is about seeing the SVG path not just as a series of commands but as part of the broader system of SVG graphics, where each command plays a specific role in shaping the final image.\\n\\n4. **Command Interpretation and Geometry (29)**: This module requires a deep dive into the syntax and semantics of SVG path commands, coupled with geometric reasoning to interpret the shape formed by these commands. Knowledge of how different commands like 'M' (moveto) and 'L' (lineto) contribute to the construction of geometric shapes is crucial for accurately identifying the shape in question.\\n\\n5. **Imaginative Visualization (11)**: While analytical skills are paramount, this module recognizes the role of creative thinking in visualizing the potential shapes that complex or ambiguous path commands might represent. It encourages thinking beyond the obvious and considering multiple geometric possibilities that fit the given path data.\\n\\n6. **Explicit Visualization (30)**: Directly focuses on the ability to visualize the trajectory formed by executing the SVG path commands, particularly 'M' and 'L'. This module is about using visualization techniques, whether mental or through software tools, to trace the path and see the resulting shape, thereby facilitating its identification.\\n\\nBy refining these modules to more directly address the task of interpreting SVG path elements, the process of identifying the drawn shape becomes more structured and focused on the specific skills and knowledge areas that are most relevant to the task.\", 'reasoning_structure': '```json\\n{\\n \"Step 1: Detailed Path Analysis\": {\\n \"Description\": \"Examine each SVG path command and its coordinates to understand the shape outline.\",\\n \"Actions\": [\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Move to starting point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"53.25,36.07\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"66.29,48.90\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"78.69,61.09\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Draw line to this point to close the shape.\"\\n }\\n ]\\n },\\n \"Step 2: Path Decomposition\": {\\n \"Description\": \"Break down the path into segments to simplify analysis.\",\\n \"Segments\": [\\n \"Segment 1: Move from (55.57,80.69) to (57.38,65.80)\",\\n \"Segment 2: Move from (57.38,65.80) to (48.90,57.46)\",\\n \"Segment 3: Move from (48.90,57.46) to (45.58,47.78)\",\\n \"Segment 4: Move from (45.58,47.78) to (53.25,36.07)\",\\n \"Segment 5: Move from (53.25,36.07) to (66.29,48.90)\",\\n \"Segment 6: Move from (66.29,48.90) to (78.69,61.09)\",\\n \"Segment 7: Move from (78.69,61.09) to (55.57,80.69)\"\\n ]\\n },\\n \"Step 3: SVG System Analysis\": {\\n \"Description\": \"Understand the role of each command within the SVG coordinate system.\",\\n \"Analysis\": [\\n {\\n \"Command\": \"M\",\\n \"Role\": \"Defines starting points for new sub-paths.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Role\": \"Creates straight lines between points.\"\\n }\\n ]\\n },\\n \"Step 4: Command Interpretation and Geometry\": {\\n \"Description\": \"Interpret the geometric shape formed by the path commands.\",\\n \"Geometric Principles\": [\\n \"Identify angles and lines created by \\'L\\' commands.\",\\n \"Determine the number of sides from the number of \\'L\\' commands.\"\\n ]\\n },\\n \"Step 5: Imaginative Visualization\": {\\n \"Description\": \"Visualize potential shapes that the path commands might represent.\",\\n \"Visualization Techniques\": [\\n \"Sketching the path based on command coordinates.\",\\n \"Mentally visualizing the path progression.\"\\n ]\\n },\\n \"Step 6: Explicit Visualization\": {\\n \"Description\": \"Use visualization tools to trace the path and see the resulting shape.\",\\n \"Tools\": [\\n \"Digital drawing software\",\\n \"SVG rendering tools\"\\n ]\\n },\\n \"Conclusion\": {\\n \"Description\": \"Based on the analysis and visualization, identify the shape.\",\\n \"Options\": [\\n \"Circle\",\\n \"Heptagon\",\\n \"Hexagon\",\\n \"Kite\",\\n \"Line\",\\n \"Octagon\",\\n \"Pentagon\",\\n \"Rectangle\",\\n \"Sector\",\\n \"Triangle\"\\n ],\\n \"Selected Option\": \"\"\\n }\\n}\\n```', 'answer': '```json\\n{\\n \"Step 1: Detailed Path Analysis\": {\\n \"Description\": \"Examine each SVG path command and its coordinates to understand the shape outline.\",\\n \"Actions\": [\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Move to starting point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"57.38,65.80\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"48.90,57.46\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"M\",\\n \"Coordinate\": \"45.58,47.78\",\\n \"Purpose\": \"Move to this point without drawing.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"53.25,36.07\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"66.29,48.90\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"78.69,61.09\",\\n \"Purpose\": \"Draw line to this point.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Coordinate\": \"55.57,80.69\",\\n \"Purpose\": \"Draw line to this point to close the shape.\"\\n }\\n ]\\n },\\n \"Step 2: Path Decomposition\": {\\n \"Description\": \"Break down the path into segments to simplify analysis.\",\\n \"Segments\": [\\n \"Segment 1: Move from (55.57,80.69) to (57.38,65.80)\",\\n \"Segment 2: Move from (57.38,65.80) to (48.90,57.46)\",\\n \"Segment 3: Move from (48.90,57.46) to (45.58,47.78)\",\\n \"Segment 4: Move from (45.58,47.78) to (53.25,36.07)\",\\n \"Segment 5: Move from (53.25,36.07) to (66.29,48.90)\",\\n \"Segment 6: Move from (66.29,48.90) to (78.69,61.09)\",\\n \"Segment 7: Move from (78.69,61.09) to (55.57,80.69)\"\\n ]\\n },\\n \"Step 3: SVG System Analysis\": {\\n \"Description\": \"Understand the role of each command within the SVG coordinate system.\",\\n \"Analysis\": [\\n {\\n \"Command\": \"M\",\\n \"Role\": \"Defines starting points for new sub-paths.\"\\n },\\n {\\n \"Command\": \"L\",\\n \"Role\": \"Creates straight lines between points.\"\\n }\\n ]\\n },\\n \"Step 4: Command Interpretation and Geometry\": {\\n \"Description\": \"Interpret the geometric shape formed by the path commands.\",\\n \"Geometric Principles\": [\\n \"Identify angles and lines created by \\'L\\' commands.\",\\n \"Determine the number of sides from the number of \\'L\\' commands.\"\\n ]\\n },\\n \"Step 5: Imaginative Visualization\": {\\n \"Description\": \"Visualize potential shapes that the path commands might represent.\",\\n \"Visualization Techniques\": [\\n \"Sketching the path based on command coordinates.\",\\n \"Mentally visualizing the path progression.\"\\n ]\\n },\\n \"Step 6: Explicit Visualization\": {\\n \"Description\": \"Use visualization tools to trace the path and see the resulting shape.\",\\n \"Tools\": [\\n \"Digital drawing software\",\\n \"SVG rendering tools\"\\n ]\\n },\\n \"Conclusion\": {\\n \"Description\": \"Based on the analysis and visualization, identify the shape.\",\\n \"Options\": [\\n \"Circle\",\\n \"Heptagon\",\\n \"Hexagon\",\\n \"Kite\",\\n \"Line\",\\n \"Octagon\",\\n \"Pentagon\",\\n \"Rectangle\",\\n \"Sector\",\\n \"Triangle\"\\n ],\\n \"Selected Option\": \"Pentagon\"\\n }\\n}\\n```'}}\n" + ] + } + ], + "source": [ + "for s in app.stream({\"task_description\": task_example, \"reasoning_modules\": reasoning_modules_str}):\n", + " print(s)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea8568d5-bdb6-45cd-8d04-1ab305786caa", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c14a291c-7c1b-43bc-807e-11180290985e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.1" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 899a76f82b600e133db31ee55b91091c451d139a Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Mon, 12 Feb 2024 12:46:06 -0800 Subject: [PATCH 03/14] add rewoo --- examples/rewoo/rewoo.ipynb | 319 +++++++++++++++++++++++++++++++++++++ 1 file changed, 319 insertions(+) create mode 100644 examples/rewoo/rewoo.ipynb diff --git a/examples/rewoo/rewoo.ipynb b/examples/rewoo/rewoo.ipynb new file mode 100644 index 000000000..092207771 --- /dev/null +++ b/examples/rewoo/rewoo.ipynb @@ -0,0 +1,319 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 23, + "id": "b3db60ea-d38b-4a55-a048-6c0222af6566", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_openai import ChatOpenAI\n", + "from langchain_community.tools.tavily_search import TavilySearchResults\n", + "search = TavilySearchResults()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c8836921-c89e-42b6-8c71-27aeaeac5368", + "metadata": {}, + "outputs": [], + "source": [ + "model = ChatOpenAI(temperature=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "7e7faa92-30a1-4942-b3c7-acd3a7bfccbc", + "metadata": {}, + "outputs": [], + "source": [ + "prompt = \"\"\"For the following task, make plans that can solve the problem step by step. For each plan, indicate \\\n", + "which external tool together with tool input to retrieve evidence. You can store the evidence into a \\\n", + "variable #E that can be called by later tools. (Plan, #E1, Plan, #E2, Plan, ...)\n", + "\n", + "Tools can be one of the following:\n", + "(1) Google[input]: Worker that searches results from Google. Useful when you need to find short\n", + "and succinct answers about a specific topic. The input should be a search query.\n", + "(2) LLM[input]: A pretrained LLM like yourself. Useful when you need to act with general\n", + "world knowledge and common sense. Prioritize it when you are confident in solving the problem\n", + "yourself. Input can be any instruction.\n", + "\n", + "For example,\n", + "Task: Thomas, Toby, and Rebecca worked a total of 157 hours in one week. Thomas worked x\n", + "hours. Toby worked 10 hours less than twice what Thomas worked, and Rebecca worked 8 hours\n", + "less than Toby. How many hours did Rebecca work?\n", + "Plan: Given Thomas worked x hours, translate the problem into algebraic expressions and solve\n", + "with Wolfram Alpha. #E1 = WolframAlpha[Solve x + (2x − 10) + ((2x − 10) − 8) = 157]\n", + "Plan: Find out the number of hours Thomas worked. #E2 = LLM[What is x, given #E1]\n", + "Plan: Calculate the number of hours Rebecca worked. #E3 = Calculator[(2 ∗ #E2 − 10) − 8]\n", + "\n", + "Begin! \n", + "Describe your plans with rich details. Each Plan should be followed by only one #E.\n", + "\n", + "Task: {task}\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "72b4ab0f-7215-4f4b-9407-0ebad8b13b92", + "metadata": {}, + "outputs": [], + "source": [ + "task = \"what is the hometown of the 2024 australian open winner\"" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "56ecb45b-ea76-4303-a4f3-51406fe8312a", + "metadata": {}, + "outputs": [], + "source": [ + "result = model.invoke(prompt.format(task=task))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8a733caa-d75b-422c-93aa-6ad913c995f3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plan: Use Google to search for the 2024 Australian Open winner.\n", + "#E1 = Google[2024 Australian Open winner]\n", + "\n", + "Plan: Retrieve the name of the 2024 Australian Open winner from the search results.\n", + "#E2 = LLM[What is the name of the 2024 Australian Open winner, given #E1]\n", + "\n", + "Plan: Use Google to search for the hometown of the 2024 Australian Open winner.\n", + "#E3 = Google[hometown of 2024 Australian Open winner, given #E2]\n", + "\n", + "Plan: Retrieve the hometown of the 2024 Australian Open winner from the search results.\n", + "#E4 = LLM[What is the hometown of the 2024 Australian Open winner, given #E3]\n" + ] + } + ], + "source": [ + "print(result.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "8b14c889-0f96-40d3-9200-7dc9afc190ce", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from typing import TypedDict, Annotated, List\n", + "import operator" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "a3a0a670-686b-4767-92b7-b16fca748730", + "metadata": {}, + "outputs": [], + "source": [ + "class ReWOO(TypedDict):\n", + " task: str\n", + " plan_string: str\n", + " steps: List\n", + " results: dict\n", + " result: str" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "3412cfc4-6796-4295-aea4-7eeb304e10bd", + "metadata": {}, + "outputs": [], + "source": [ + "def _get_current_task(state):\n", + " if state[\"results\"] is None:\n", + " return 1\n", + " if len(state[\"results\"]) == len(state[\"steps\"]):\n", + " return None\n", + " else:\n", + " return len(state[\"results\"]) + 1" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "aa96fbac-28bc-4afe-ae35-ddb3383d1147", + "metadata": {}, + "outputs": [], + "source": [ + "def tool_execution(state):\n", + " _step =_get_current_task(state)\n", + " _, step_name, tool, tool_input = state[\"steps\"][_step - 1]\n", + " _results = state[\"results\"] or {}\n", + " for k, v in _results.items():\n", + " tool_input = tool_input.replace(k, v)\n", + " if tool == \"Google\":\n", + " result = search.invoke(tool_input)\n", + " elif tool == \"LLM\":\n", + " result = model.invoke(tool_input)\n", + " else:\n", + " raise ValueError\n", + " _results[step_name] = str(result)\n", + " return {\"results\": _results}" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "c0eba982-6b8c-4ad9-8971-10c18d7c9b75", + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "# Regex to match expressions of the form E#... = ...[...]\n", + "regex_pattern = r\"Plan:\\s*(.+)\\s*(#E\\d+)\\s*=\\s*(\\w+)\\s*\\[([^\\]]+)\\]\"" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "2791b020-c182-4b54-8912-f9e3396196b8", + "metadata": {}, + "outputs": [], + "source": [ + "def get_plan(state):\n", + " task = state[\"task\"]\n", + " result = model.invoke(prompt.format(task=task))\n", + " # Find all matches in the sample text\n", + " matches = re.findall(regex_pattern, result.content)\n", + " return {\"steps\": matches, \"plan_string\": result.content}" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "9f60d611-9e15-4621-8c03-aabace7d2a8b", + "metadata": {}, + "outputs": [], + "source": [ + "solve_prompt = \"\"\"Solve the following task or problem. To solve the problem, we have made step-by-step Plan and \\\n", + "retrieved corresponding Evidence to each Plan. Use them with caution since long evidence might \\\n", + "contain irrelevant information.\n", + "\n", + "{plan}\n", + "\n", + "Now solve the question or task according to provided Evidence above. Respond with the answer\n", + "directly with no extra words.\n", + "\n", + "Task: {task}\n", + "Response:\"\"\"\n", + "def solve(state):\n", + " plan = \"\"\n", + " for _plan, step_name, tool, tool_input in state[\"steps\"]:\n", + " _results = state[\"results\"] or {}\n", + " for k, v in _results.items():\n", + " tool_input = tool_input.replace(k, v)\n", + " plan += f\"Plan: {_plan}\\n{step_name} = {tool}[{tool_input}]\"\n", + " prompt = solve_prompt.format(plan=plan, task=state[\"task\"])\n", + " result = model.invoke(prompt)\n", + " return {\"result\": result.content}" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "73b235d7-fa83-4e84-9f2e-2908f16deb26", + "metadata": {}, + "outputs": [], + "source": [ + "def _route(state):\n", + " _step = _get_current_task(state)\n", + " if _step is None:\n", + " return \"solve\"\n", + " else:\n", + " return \"tool\"" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "cf173aa1-ce31-4dca-8111-30c91e209652", + "metadata": {}, + "outputs": [], + "source": [ + "from langgraph.graph import StateGraph, END\n", + "\n", + "graph = StateGraph(ReWOO)\n", + "graph.add_node(\"plan\", get_plan)\n", + "graph.add_node(\"tool\", tool_execution)\n", + "graph.add_node(\"solve\", solve)\n", + "graph.add_edge(\"plan\", \"tool\")\n", + "graph.add_edge(\"solve\", END)\n", + "graph.add_conditional_edges(\"tool\", _route)\n", + "graph.set_entry_point(\"plan\")\n", + "app = graph.compile()" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "badaca52-5d55-433f-8770-1bd50c10bf7f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'plan': {'steps': [('Use Google to search for the 2024 Australian Open winner.', '#E1', 'Google', '2024 Australian Open winner'), ('Retrieve the name of the 2024 Australian Open winner from the search results.', '#E2', 'LLM', 'What is the name of the 2024 Australian Open winner, given #E1'), ('Use Google to search for the hometown of the 2024 Australian Open winner.', '#E3', 'Google', 'hometown of 2024 Australian Open winner, given #E2'), ('Retrieve the hometown of the 2024 Australian Open winner from the search results.', '#E4', 'LLM', 'What is the hometown of the 2024 Australian Open winner, given #E3')], 'plan_string': 'Plan: Use Google to search for the 2024 Australian Open winner.\\n#E1 = Google[2024 Australian Open winner]\\n\\nPlan: Retrieve the name of the 2024 Australian Open winner from the search results.\\n#E2 = LLM[What is the name of the 2024 Australian Open winner, given #E1]\\n\\nPlan: Use Google to search for the hometown of the 2024 Australian Open winner.\\n#E3 = Google[hometown of 2024 Australian Open winner, given #E2]\\n\\nPlan: Retrieve the hometown of the 2024 Australian Open winner from the search results.\\n#E4 = LLM[What is the hometown of the 2024 Australian Open winner, given #E3]'}}\n", + "{'tool': {'results': {'#E1': '[{\\'url\\': \\'https://www.cbssports.com/tennis/news/australian-open-2024-jannik-sinner-aryna-sabalenka-crowned-as-grand-slam-singles-champions-at-melbourne-park/\\', \\'content\\': \\'2024 Australian Open odds, Sinner vs. Medvedev picks Sabalenka defeats Zheng to win 2024 Australian Open Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park 2024 Australian Open odds, Sabalenka vs. Zheng picks 2024 Australian Open odds, Medvedev vs. Zverev picks Sinner, Sabalenka win Australian Open singles titles Sinner makes epic comeback to win Australian OpenJan 28, 2024 — Jan 28, 2024Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park ... Watch Now: Jannik Sinner came\\\\xa0...\\'}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open\\', \\'content\\': \"Contents 2024 Australian Open The 2024 Australian Open was a Grand Slam level tennis tournament held at Melbourne Park, from 14–28 January 2024.[1] The Australian Open total prize money for 2024 increased by 13.07% year on year to a tournament record A$86,500,000. In the tournament\\'s 119-year history, this was the first Australian Open Tennis Championships to be held on an openingNovak Djokovic was the defending men\\'s singles champion. ... He was defeated in the semifinals by Jannik Sinner, who went on to beat Daniil Medvedev in a five-set\\\\xa0...\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open_%E2%80%93_Men%27s_singles\\', \\'content\\': \"Contents 2024 Australian Open – Men\\'s singles The entry list was released by Tennis Australia based on the ATP rankings for the week of 4 December 2023.[15] matches, tying the Open Era record set at the 1983 US Open.[14] feature any of the Big Three members.[4] It was the second time Medvedev lost the Australian Open final after winningJannik Sinner defeated Daniil Medvedev in the final, 3–6, 3–6, 6–4, 6–4, 6–3, to win the men\\'s singles tennis title at the 2024 Australian Open.\"}]'}}}\n", + "{'tool': {'results': {'#E1': '[{\\'url\\': \\'https://www.cbssports.com/tennis/news/australian-open-2024-jannik-sinner-aryna-sabalenka-crowned-as-grand-slam-singles-champions-at-melbourne-park/\\', \\'content\\': \\'2024 Australian Open odds, Sinner vs. Medvedev picks Sabalenka defeats Zheng to win 2024 Australian Open Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park 2024 Australian Open odds, Sabalenka vs. Zheng picks 2024 Australian Open odds, Medvedev vs. Zverev picks Sinner, Sabalenka win Australian Open singles titles Sinner makes epic comeback to win Australian OpenJan 28, 2024 — Jan 28, 2024Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park ... Watch Now: Jannik Sinner came\\\\xa0...\\'}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open\\', \\'content\\': \"Contents 2024 Australian Open The 2024 Australian Open was a Grand Slam level tennis tournament held at Melbourne Park, from 14–28 January 2024.[1] The Australian Open total prize money for 2024 increased by 13.07% year on year to a tournament record A$86,500,000. In the tournament\\'s 119-year history, this was the first Australian Open Tennis Championships to be held on an openingNovak Djokovic was the defending men\\'s singles champion. ... He was defeated in the semifinals by Jannik Sinner, who went on to beat Daniil Medvedev in a five-set\\\\xa0...\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open_%E2%80%93_Men%27s_singles\\', \\'content\\': \"Contents 2024 Australian Open – Men\\'s singles The entry list was released by Tennis Australia based on the ATP rankings for the week of 4 December 2023.[15] matches, tying the Open Era record set at the 1983 US Open.[14] feature any of the Big Three members.[4] It was the second time Medvedev lost the Australian Open final after winningJannik Sinner defeated Daniil Medvedev in the final, 3–6, 3–6, 6–4, 6–4, 6–3, to win the men\\'s singles tennis title at the 2024 Australian Open.\"}]', '#E2': \"content='The name of the 2024 Australian Open winner is Jannik Sinner.'\"}}}\n", + "{'tool': {'results': {'#E1': '[{\\'url\\': \\'https://www.cbssports.com/tennis/news/australian-open-2024-jannik-sinner-aryna-sabalenka-crowned-as-grand-slam-singles-champions-at-melbourne-park/\\', \\'content\\': \\'2024 Australian Open odds, Sinner vs. Medvedev picks Sabalenka defeats Zheng to win 2024 Australian Open Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park 2024 Australian Open odds, Sabalenka vs. Zheng picks 2024 Australian Open odds, Medvedev vs. Zverev picks Sinner, Sabalenka win Australian Open singles titles Sinner makes epic comeback to win Australian OpenJan 28, 2024 — Jan 28, 2024Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park ... Watch Now: Jannik Sinner came\\\\xa0...\\'}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open\\', \\'content\\': \"Contents 2024 Australian Open The 2024 Australian Open was a Grand Slam level tennis tournament held at Melbourne Park, from 14–28 January 2024.[1] The Australian Open total prize money for 2024 increased by 13.07% year on year to a tournament record A$86,500,000. In the tournament\\'s 119-year history, this was the first Australian Open Tennis Championships to be held on an openingNovak Djokovic was the defending men\\'s singles champion. ... He was defeated in the semifinals by Jannik Sinner, who went on to beat Daniil Medvedev in a five-set\\\\xa0...\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open_%E2%80%93_Men%27s_singles\\', \\'content\\': \"Contents 2024 Australian Open – Men\\'s singles The entry list was released by Tennis Australia based on the ATP rankings for the week of 4 December 2023.[15] matches, tying the Open Era record set at the 1983 US Open.[14] feature any of the Big Three members.[4] It was the second time Medvedev lost the Australian Open final after winningJannik Sinner defeated Daniil Medvedev in the final, 3–6, 3–6, 6–4, 6–4, 6–3, to win the men\\'s singles tennis title at the 2024 Australian Open.\"}]', '#E2': \"content='The name of the 2024 Australian Open winner is Jannik Sinner.'\", '#E3': '[{\\'url\\': \\'https://www.tennis.com/news/articles/soccer-mad-italy-is-now-obsessed-with-tennis-player-jannik-sinner-after-his-australian-open-title\\', \\'content\\': \"Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title Play & Win Advertising Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title \\'Grandissimo\\': Italian Premier Giorgia Meloni welcomes home Australian Open champion Jannik Sinner First of many? Jannik Sinner\\'s five-set comeback sinks Daniil Medvedev in Australian Open finalJan 28, 2024 — Jan 28, 2024In Sinner\\'s tiny hometown of Sesto (population 1,860) near the Austrian border, about 70 people gathered inside the two-court indoor tennis\\\\xa0...\"}, {\\'url\\': \\'https://apnews.com/article/jannik-sinner-italy-australian-open-03573689c4c58c2851d1006e26546ac9\\', \\'content\\': \"Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev, Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev, Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev,Jan 28, 2024 — Jan 28, 2024Soccer-mad Italy has a new obsession. Jannik Sinner\\'s Australian Open performance on the tennis court has captured the country\\'s attention.\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/Jannik_Sinner\\', \\'content\\': \\'At the 2024 Australian Open, Sinner defeated world No. 1 Novak Djokovic in the semifinals to reach his first major Sinner is a major champion, having won the 2024 Australian Open.[3] He has won a further ten ATP Tour singles titles, Early in the year Sinner made the second round of the 2020 Australian Open, recording his first Grand Slam main draw a match since Janko Tipsarević in London in 2011.[59][60] Sinner played Daniil Medvedev next in the round robin stage,Since making his professional debut in 2018, Sinner has won 11 ATP Tour singles titles, including a Grand Slam at the 2024 Australian Open and a Masters 1000 at\\\\xa0...\\'}, {\\'url\\': \\'https://ausopen.com/players/italy/jannik-sinner\\', \\'content\\': \"Jannik Sinner weathered an early onslaught to reel in Daniil Medvedev, growing in potency to win the Australian Open the Australian Open 2024 final – his first Grand Slam singles title. Jannik Sinner will contest his first Grand Slam final after scuttling Novak Djokovic’s bid for a record-extending 11th Jannick Sinner has form and fitness on his side ahead of his meeting with Andrey Rublev.Jannik Sinner Press Conference | Australian Open 2024 Final. 15:02 · Player & Career Overview. Career Wins 73% · Men\\'s Singles. Final • Rod Laver Arena · Comeback\\\\xa0...\"}]'}}}\n", + "{'tool': {'results': {'#E1': '[{\\'url\\': \\'https://www.cbssports.com/tennis/news/australian-open-2024-jannik-sinner-aryna-sabalenka-crowned-as-grand-slam-singles-champions-at-melbourne-park/\\', \\'content\\': \\'2024 Australian Open odds, Sinner vs. Medvedev picks Sabalenka defeats Zheng to win 2024 Australian Open Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park 2024 Australian Open odds, Sabalenka vs. Zheng picks 2024 Australian Open odds, Medvedev vs. Zverev picks Sinner, Sabalenka win Australian Open singles titles Sinner makes epic comeback to win Australian OpenJan 28, 2024 — Jan 28, 2024Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park ... Watch Now: Jannik Sinner came\\\\xa0...\\'}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open\\', \\'content\\': \"Contents 2024 Australian Open The 2024 Australian Open was a Grand Slam level tennis tournament held at Melbourne Park, from 14–28 January 2024.[1] The Australian Open total prize money for 2024 increased by 13.07% year on year to a tournament record A$86,500,000. In the tournament\\'s 119-year history, this was the first Australian Open Tennis Championships to be held on an openingNovak Djokovic was the defending men\\'s singles champion. ... He was defeated in the semifinals by Jannik Sinner, who went on to beat Daniil Medvedev in a five-set\\\\xa0...\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open_%E2%80%93_Men%27s_singles\\', \\'content\\': \"Contents 2024 Australian Open – Men\\'s singles The entry list was released by Tennis Australia based on the ATP rankings for the week of 4 December 2023.[15] matches, tying the Open Era record set at the 1983 US Open.[14] feature any of the Big Three members.[4] It was the second time Medvedev lost the Australian Open final after winningJannik Sinner defeated Daniil Medvedev in the final, 3–6, 3–6, 6–4, 6–4, 6–3, to win the men\\'s singles tennis title at the 2024 Australian Open.\"}]', '#E2': \"content='The name of the 2024 Australian Open winner is Jannik Sinner.'\", '#E3': '[{\\'url\\': \\'https://www.tennis.com/news/articles/soccer-mad-italy-is-now-obsessed-with-tennis-player-jannik-sinner-after-his-australian-open-title\\', \\'content\\': \"Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title Play & Win Advertising Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title \\'Grandissimo\\': Italian Premier Giorgia Meloni welcomes home Australian Open champion Jannik Sinner First of many? Jannik Sinner\\'s five-set comeback sinks Daniil Medvedev in Australian Open finalJan 28, 2024 — Jan 28, 2024In Sinner\\'s tiny hometown of Sesto (population 1,860) near the Austrian border, about 70 people gathered inside the two-court indoor tennis\\\\xa0...\"}, {\\'url\\': \\'https://apnews.com/article/jannik-sinner-italy-australian-open-03573689c4c58c2851d1006e26546ac9\\', \\'content\\': \"Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev, Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev, Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev,Jan 28, 2024 — Jan 28, 2024Soccer-mad Italy has a new obsession. Jannik Sinner\\'s Australian Open performance on the tennis court has captured the country\\'s attention.\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/Jannik_Sinner\\', \\'content\\': \\'At the 2024 Australian Open, Sinner defeated world No. 1 Novak Djokovic in the semifinals to reach his first major Sinner is a major champion, having won the 2024 Australian Open.[3] He has won a further ten ATP Tour singles titles, Early in the year Sinner made the second round of the 2020 Australian Open, recording his first Grand Slam main draw a match since Janko Tipsarević in London in 2011.[59][60] Sinner played Daniil Medvedev next in the round robin stage,Since making his professional debut in 2018, Sinner has won 11 ATP Tour singles titles, including a Grand Slam at the 2024 Australian Open and a Masters 1000 at\\\\xa0...\\'}, {\\'url\\': \\'https://ausopen.com/players/italy/jannik-sinner\\', \\'content\\': \"Jannik Sinner weathered an early onslaught to reel in Daniil Medvedev, growing in potency to win the Australian Open the Australian Open 2024 final – his first Grand Slam singles title. Jannik Sinner will contest his first Grand Slam final after scuttling Novak Djokovic’s bid for a record-extending 11th Jannick Sinner has form and fitness on his side ahead of his meeting with Andrey Rublev.Jannik Sinner Press Conference | Australian Open 2024 Final. 15:02 · Player & Career Overview. Career Wins 73% · Men\\'s Singles. Final • Rod Laver Arena · Comeback\\\\xa0...\"}]', '#E4': \"content='The hometown of the 2024 Australian Open winner, Jannik Sinner, is Sesto, a small town near the Austrian border in Italy.'\"}}}\n", + "{'solve': {'result': 'The hometown of the 2024 Australian Open winner, Jannik Sinner, is Sesto, Italy.'}}\n", + "{'__end__': {'task': 'what is the hometown of the 2024 australian open winner', 'plan_string': 'Plan: Use Google to search for the 2024 Australian Open winner.\\n#E1 = Google[2024 Australian Open winner]\\n\\nPlan: Retrieve the name of the 2024 Australian Open winner from the search results.\\n#E2 = LLM[What is the name of the 2024 Australian Open winner, given #E1]\\n\\nPlan: Use Google to search for the hometown of the 2024 Australian Open winner.\\n#E3 = Google[hometown of 2024 Australian Open winner, given #E2]\\n\\nPlan: Retrieve the hometown of the 2024 Australian Open winner from the search results.\\n#E4 = LLM[What is the hometown of the 2024 Australian Open winner, given #E3]', 'steps': [('Use Google to search for the 2024 Australian Open winner.', '#E1', 'Google', '2024 Australian Open winner'), ('Retrieve the name of the 2024 Australian Open winner from the search results.', '#E2', 'LLM', 'What is the name of the 2024 Australian Open winner, given #E1'), ('Use Google to search for the hometown of the 2024 Australian Open winner.', '#E3', 'Google', 'hometown of 2024 Australian Open winner, given #E2'), ('Retrieve the hometown of the 2024 Australian Open winner from the search results.', '#E4', 'LLM', 'What is the hometown of the 2024 Australian Open winner, given #E3')], 'results': {'#E1': '[{\\'url\\': \\'https://www.cbssports.com/tennis/news/australian-open-2024-jannik-sinner-aryna-sabalenka-crowned-as-grand-slam-singles-champions-at-melbourne-park/\\', \\'content\\': \\'2024 Australian Open odds, Sinner vs. Medvedev picks Sabalenka defeats Zheng to win 2024 Australian Open Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park 2024 Australian Open odds, Sabalenka vs. Zheng picks 2024 Australian Open odds, Medvedev vs. Zverev picks Sinner, Sabalenka win Australian Open singles titles Sinner makes epic comeback to win Australian OpenJan 28, 2024 — Jan 28, 2024Australian Open 2024: Jannik Sinner, Aryna Sabalenka crowned as Grand Slam singles champions at Melbourne Park ... Watch Now: Jannik Sinner came\\\\xa0...\\'}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open\\', \\'content\\': \"Contents 2024 Australian Open The 2024 Australian Open was a Grand Slam level tennis tournament held at Melbourne Park, from 14–28 January 2024.[1] The Australian Open total prize money for 2024 increased by 13.07% year on year to a tournament record A$86,500,000. In the tournament\\'s 119-year history, this was the first Australian Open Tennis Championships to be held on an openingNovak Djokovic was the defending men\\'s singles champion. ... He was defeated in the semifinals by Jannik Sinner, who went on to beat Daniil Medvedev in a five-set\\\\xa0...\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/2024_Australian_Open_%E2%80%93_Men%27s_singles\\', \\'content\\': \"Contents 2024 Australian Open – Men\\'s singles The entry list was released by Tennis Australia based on the ATP rankings for the week of 4 December 2023.[15] matches, tying the Open Era record set at the 1983 US Open.[14] feature any of the Big Three members.[4] It was the second time Medvedev lost the Australian Open final after winningJannik Sinner defeated Daniil Medvedev in the final, 3–6, 3–6, 6–4, 6–4, 6–3, to win the men\\'s singles tennis title at the 2024 Australian Open.\"}]', '#E2': \"content='The name of the 2024 Australian Open winner is Jannik Sinner.'\", '#E3': '[{\\'url\\': \\'https://www.tennis.com/news/articles/soccer-mad-italy-is-now-obsessed-with-tennis-player-jannik-sinner-after-his-australian-open-title\\', \\'content\\': \"Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title Play & Win Advertising Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title \\'Grandissimo\\': Italian Premier Giorgia Meloni welcomes home Australian Open champion Jannik Sinner First of many? Jannik Sinner\\'s five-set comeback sinks Daniil Medvedev in Australian Open finalJan 28, 2024 — Jan 28, 2024In Sinner\\'s tiny hometown of Sesto (population 1,860) near the Austrian border, about 70 people gathered inside the two-court indoor tennis\\\\xa0...\"}, {\\'url\\': \\'https://apnews.com/article/jannik-sinner-italy-australian-open-03573689c4c58c2851d1006e26546ac9\\', \\'content\\': \"Soccer-mad Italy is now obsessed with tennis player Jannik Sinner after his Australian Open title Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev, Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev, Jannik Sinner, left, of Italy gestures as he holds the Norman Brookes Challenge Cup after defeating Daniil Medvedev,Jan 28, 2024 — Jan 28, 2024Soccer-mad Italy has a new obsession. Jannik Sinner\\'s Australian Open performance on the tennis court has captured the country\\'s attention.\"}, {\\'url\\': \\'https://en.wikipedia.org/wiki/Jannik_Sinner\\', \\'content\\': \\'At the 2024 Australian Open, Sinner defeated world No. 1 Novak Djokovic in the semifinals to reach his first major Sinner is a major champion, having won the 2024 Australian Open.[3] He has won a further ten ATP Tour singles titles, Early in the year Sinner made the second round of the 2020 Australian Open, recording his first Grand Slam main draw a match since Janko Tipsarević in London in 2011.[59][60] Sinner played Daniil Medvedev next in the round robin stage,Since making his professional debut in 2018, Sinner has won 11 ATP Tour singles titles, including a Grand Slam at the 2024 Australian Open and a Masters 1000 at\\\\xa0...\\'}, {\\'url\\': \\'https://ausopen.com/players/italy/jannik-sinner\\', \\'content\\': \"Jannik Sinner weathered an early onslaught to reel in Daniil Medvedev, growing in potency to win the Australian Open the Australian Open 2024 final – his first Grand Slam singles title. Jannik Sinner will contest his first Grand Slam final after scuttling Novak Djokovic’s bid for a record-extending 11th Jannick Sinner has form and fitness on his side ahead of his meeting with Andrey Rublev.Jannik Sinner Press Conference | Australian Open 2024 Final. 15:02 · Player & Career Overview. Career Wins 73% · Men\\'s Singles. Final • Rod Laver Arena · Comeback\\\\xa0...\"}]', '#E4': \"content='The hometown of the 2024 Australian Open winner, Jannik Sinner, is Sesto, a small town near the Austrian border in Italy.'\"}, 'result': 'The hometown of the 2024 Australian Open winner, Jannik Sinner, is Sesto, Italy.'}}\n" + ] + } + ], + "source": [ + "for s in app.stream({\"task\":task}):\n", + " print(s)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba4a3cc6-ae26-47e5-aabe-5a30637c94b8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.1" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 2f110d181b3b1940bac8bea49edf43efea5bdfd9 Mon Sep 17 00:00:00 2001 From: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com> Date: Mon, 12 Feb 2024 14:33:34 -0800 Subject: [PATCH 04/14] Add images + narration --- examples/llm-compiler/img/llm-compiler.png | Bin 0 -> 883760 bytes .../plan-and-execute/img/plan-and-execute.png | Bin 0 -> 1179176 bytes examples/rewoo/img/rewoo-paper-workflow.png | Bin 0 -> 240032 bytes examples/rewoo/img/rewoo.png | Bin 0 -> 848693 bytes examples/rewoo/rewoo.ipynb | 309 +++++++++++++----- 5 files changed, 233 insertions(+), 76 deletions(-) create mode 100644 examples/llm-compiler/img/llm-compiler.png create mode 100644 examples/plan-and-execute/img/plan-and-execute.png create mode 100644 examples/rewoo/img/rewoo-paper-workflow.png create mode 100644 examples/rewoo/img/rewoo.png diff --git a/examples/llm-compiler/img/llm-compiler.png b/examples/llm-compiler/img/llm-compiler.png new file mode 100644 index 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