{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Simulating multivariate effects with intersubject variability\n", "\n", "In the previous examples, we set the size of the effect to 0.5. The effect size modulates the decoding accuracy, by taking into account the noise present at teh single subject level. Importantly, the amplitude of the effect was assumed to be fixed across participants. However, in most data sets, that will not be the case, as the **true** decoding accuracy surely varies between participants.\n", "\n", "In order to simulate between participants variability, you can specify a between subjects noise parameter. Specifically, instead of simulating multivariate effect of the same strength across participants, we draw the effect strength from a normal distribution with a given mean and standard deviation. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Setting up the simulation\n", "\n", "We will stick to the same parameters as before, with the kernel and everything, just adding the noise parameter." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "from scipy.stats import gamma as gamma_dist\n", "import matplotlib.pyplot as plt\n", "\n", "# Creating the design matrix of our 2 by two balanced design:\n", "X = np.array([[1, 1, -1, -1] * 40, [1, -1] * 80]).T\n", "\n", "# Add descriptors:\n", "cond_names = [\"category\", \"attention\"]\n", "X = pd.DataFrame(X, columns=cond_names) # Add a column for the interaction between category and attention\n", "mapping = {\n", " \"category\": {1: \"face\", -1: \"object\"},\n", " \"attention\": {1: \"attended\", -1: \"unattended\"},\n", "}\n", "\n", "# Specifying the effects:\n", "effects = [\n", " {\"condition\": 'category', \"windows\": [0.1, 0.2], \"effect_size\": 0.5}, \n", " {\"condition\": 'attention', \"windows\": [0.3, 0.4], \"effect_size\": 0.5}\n", " ] # Packaging them in a list to pass to the simulator class\n", "\n", "# Data parameters:\n", "n_channels = 32 # EEG system with 32 electrodes\n", "n_subjects = 20 # Recording from 20 subjects\n", "noise_std = 1 / 2 # Variance of the data\n", "ch_cov = None # Assuming that the data of each sensor are independent\n", "sfreq = 50 # Simulating data at 50Hz\n", "tmin = -0.25\n", "tmax = 1.0\n", "\n", "# Generate our kernel:\n", "t = np.arange(0, 1, 1 / sfreq) # time vector (in seconds)\n", "kernel = gamma_dist(a=2, scale=0.08).pdf(t)\n", "kernel /= kernel.max() * 5 # Normalize peak to 0.25\n", "\n", "# Between subject noise:\n", "intersub_noise_std = 1 / 8" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Simulating the data\n", "\n", "The simulation of the data is exactly the same as before, except with the addition of intersubjects noise:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from multisim import Simulator\n", "\n", "sims = Simulator(\n", " X, # Design matrix\n", " effects, # Effects to simulate\n", " noise_std, # Observation noise\n", " n_channels, # Number of channelss\n", " n_subjects, # Number of subjects\n", " tmin,\n", " tmax, # Start and end of epochs\n", " sfreq, # Sampling frequency of the data\n", " ch_cov=ch_cov, # Spatial covariance of the data\n", " kern=kernel, # Temporal kernel,\n", " intersub_noise_std=intersub_noise_std, # Intersubject variability\n", ")\n", "epochs = sims.export_to_mne(X=X.copy(), mapping=mapping)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Decoding analysis and plotting\n", "\n", "We will perform the analysis on all subjects and show how the added between subject noise changes the results" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using a threshold of 1.729133\n", "stat_fun(H1): min=-1.3471191660392328 max=7.7670330022651335\n", "Running initial clustering …\n", "Found 5 clusters\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "258eac7151004056b5024cba21caab81", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | Permuting : 0/1023 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the results\n", "fig, ax = plt.subplots(2, 1)\n", "\n", "# Plot the results of category decoding:\n", "ax[0].plot(epochs[0].times, np.mean(scores_category, axis=0), color=\"r\")\n", "ax[0].plot(epochs[0].times, scores_category.T, color=\"k\", alpha=0.5, linewidth=0.5)\n", "\n", "ax[0].plot(\n", " epochs[0].times[sig_mask_cate],\n", " np.ones(np.sum(sig_mask_cate)) * 0.4,\n", " marker=\"o\",\n", " linestyle=\"None\",\n", " color=\"b\",\n", ")\n", "ax[0].set_title(\"Category decoding\")\n", "ax[0].axhline(0.5, color=\"k\", linestyle=\"--\", label=\"chance\")\n", "ax[0].set_ylim([0.3, 1.0])\n", "# Plot the results of attention condition:\n", "ax[1].plot(epochs[0].times, np.mean(scores_attention, axis=0), color=\"r\")\n", "ax[1].plot(epochs[0].times, scores_attention.T, color=\"k\", alpha=0.5, linewidth=0.5)\n", "ax[1].plot(\n", " epochs[0].times[sig_mask_att],\n", " np.ones(np.sum(sig_mask_att)) * 0.4,\n", " marker=\"o\",\n", " linestyle=\"None\",\n", " color=\"g\",\n", ")\n", "ax[1].set_title(\"Attention decoding\")\n", "ax[1].axhline(0.5, color=\"k\", linestyle=\"--\", label=\"chance\")\n", "ax[1].set_xlim([epochs[0].times[0], epochs[0].times[-1]])\n", "ax[1].set_xlabel(\"Times\")\n", "ax[1].set_ylabel(\"Decoding accuracy\")\n", "ax[1].set_ylim([0.3, 1.0])\n", "ax[1].legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The results seem similar to what we had before, though the variance of each subjects decoding is quite high. By comparison, here is what the results look like if we fix the intersubject variance: " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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goKCgoKALoJC6goKCgoKCgoIugELqCgoKCgoKCgq6AAqpKygoKCgoKCjoAiikrqCgoKCgoKCgC6CQuoKCgoKCgoKCLoBC6goKCgoKCgoKugAKqSsoKCgoKCgo6AIopK6goKCgoKCgoAugkLqCgoKCgoKCgi6AQuoKCgoKCgoKCroACqkrKCgoKCgoKOgCKKSuoKCgoKCgoKALoJC6goKCgoKCgoIugELqCgoKCgoKCgq6AAqpKygoKCgoKCjoAiikrqCgoKCgoKCgC6CQuoKCgoKCgoKCLoBC6goKCgoKCgoKugAKqSsoKCgoKCgo6AIopK6goKCgoKCgoAugkLqCgoKCgoKCgi6AQuoKCgoKCgoKCroACqkrKCgoKCgoKOgCmOSk7s9//nPMPffcMcUUU8SKK64Yd955Z7vXn3DCCbHQQgvFlFNOGQMHDowDDzwwPv744y+svAUFBQUFBQUFnRGTlNSde+65cdBBB8VRRx0V9957byy11FKx/vrrx+uvv97y+n/+859xyCGHVNc/9thjcdppp1XP+PGPf/yFl72goKCgoKCgoDNhkpK6448/PvbYY4/YddddY9FFF42TTjoppppqqvjb3/7W8vpbb701Vlllldh+++2r6N56660X22233RijewUFBQUFBQUFXR2TjNR9+umncc8998Q666zz/xdmssmqv2+77baW96y88srVPUninnnmmbjiiitiww03bPM9n3zySbz//vuf+SkoKCgoKCgo6GqYfFK9+M0334wRI0bELLPM8pnP/f3444+3vEeEzn2rrrpqNBqNGD58eOy1117tTr8ee+yx8ZOf/GSCl7+goKCgoKCgoDNhkm+UGBvceOON8Ytf/CL+8pe/VGvwLrzwwrj88svjpz/9aZv3HHroofHee++N/nnxxRe/0DIXFBQUFBQUFHTpSF3//v2jZ8+e8dprr33mc38PGDCg5T1HHHFE7LjjjrH77rtXfy+xxBLx0UcfxZ577hmHHXZYNX3bjD59+lQ/BQUFXyxseBJRb47GFxQUFBR0sUhd7969Y9lll43rrrtu9GcjR46s/l5ppZVa3jNkyJDPETfEEDiPgoKCzgMbm26++eZJXYyCgoKCboNJFqkD6Ux23nnnWG655WKFFVaoctCJvNkNCzvttFPMPvvs1bo42GSTTaods8sss0yV027QoEFV9M7nSe4KCgomPWxQGjp0aDUI81teyYKCgoKCLkzqtt1223jjjTfiyCOPjFdffTWWXnrpuPLKK0dP17zwwguficwdfvjh0aNHj+r3yy+/HDPNNFNF6H7+859PwloUFBQ0Qx5JaYp69eoVDz30UDVoKygoKCiYuOjR6GbzllKa9OvXr9o00bdv30ldnIKCLomzzz47ttxyyyqCfs4558QOO+wwqYtUUFBQ0OX5ypdq92tBQUHngfVyrfI+vvvuu9V0q2jdfffdV22KEolva5q2oKCgoGDCoJC6goKCsYYck/JJ/vvf//4csXvwwQerI/8sn7Du1RpY5K7VRgpLKbrZZEFBQUHBREMhdQUFBWONV155pTqqz5pWxM70ACBozz33XPXdBx98UK2BnWGGGaqk4ZKF5zV2ud9///1x0003xQMPPDCJa1NQUFDQNVBIXUFBwVjj2WefrQiZ1ESbbrppXHTRRdW060svvRRzzDFHDBs2rNokgdwheQsvvHA88cQTVdoiCcOnnnrqKtL37W9/O/70pz9N6uoUFBQUdAkUUldQUDDWMMU688wzV+vmpp9++thss83i4osvjltuuaWaerWGbtZZZ435558/nnrqqVh88cWryJyo3pxzzllN30oyvssuu8TgwYOrc5wLCgoKCsYPhdQVFBSMFRAyEbnNN9+8Imww3XTTxcYbbxw33HBDlYZIyiE5JmecccZ46623ql2wd999d8wzzzxV1O6CCy6o8lCK9K255prx17/+daKV1zRwQUFBQXdAIXUFBQVjBYQNSROhs8s1N0qIzm233XZxySWXVFOriN6HH35YTbWedtppsdVWW1XJxa2nQ/hE8pzfvOqqq8Y777xTRf0mBv71r39V5SgoKCjo6iikrqCgYKxw5513xoILLlithZtvvvnikUceqT7320kvW2yxRdx+++3VCTFOjbnmmmsqErfKKqtUiYjvueee+PrXvx4PP/xwnHTSSRU5XH755eNvf/vbWO+ERTCt7WsLnucMWj8FBQUFXR2F1BUUFIwVTKOaNl1ggQWqjQ9PP/10FQkTvRO5m3zyyas1dHfddVf199prrx3/+c9/4t577612zdoRawr2f//7X0X0brzxxuo6ET2EDxF77bXXKmIoyub/rfDpp5/GtddeW23EaG/q1XPbekZBQUFBV0IhdQUFBR2GtCSiXojZOuusU+2ClencBokllliiuubFF1+spmK/8Y1vVHnoPv7442qK1fo730lvIgUKImhKVoQPOZx33nnjmGOOibPOOqvaiCFp8de+9rVqurZVBM+Rgquttlr1/EyX0gxlRTALqSsoKOgOKKSuoKDgc0CC7FRtFaVD6GxumHbaaas1costtlg1BWoqFmyWMN1q5yuy5bcUJ88//3ystdZaMcUUU8Sxxx5bnSZhHZ3zn5G4Pn36VNOwUqKsu+661X2idcqSGzISpm6nmWaa6t4rrriiTdKG1EmropwFBQUFXR2F1BUUFLRcN4fUvf3225/5HIFadNFFY5ZZZqlOi7DZQX46BM3065AhQ6p1c9bJ2SzhJAnTo44UQwZ9vu2221aROe+wyWLvvfeOmWaaqSJ+NlpcffXV1XPsskXG7JhVFveA90mPsvrqq8dtt91WTcM6vaIVkD6pV+zIzfsLCgoKuioKqSsoKPgcRNBEzETdEqZARc7kloPLLrusImmmR+WmQ6CscVtooYWqtXHW0m200Ubx1a9+tSJ0iJkpVilOnnzyydhyyy0rYmf61g/yJ4cdEuY5IntzzTVXlSoF4bv++utHJy/ecMMNqyigqVyROO9rhdx961SLZoJaUFBQ0NVQSF1BQUHLXaXIFKIl3QjY2CCiJvecyByihqBZV2ftmw0PImuIFGJm+hQQN2vlpDg5//zz4/jjj49ll122ivS5/7///W9MNdVU1do477Mz1tFhd9xxRyyyyCLVxov99tuv2jRx1VVXVWvkkDTEExk0pZs7cOtAQpXRRg7lKTtgCwoKujoKqevC4GAdzVRQMDYw7elnmWWWqdbNmTpFkP75z39WR4IBgrT00ktX06uiawib6BrSh0Rts802FcmTn44cXnrppRUZNH0722yzxa233lodLYZ0kVHr7ET7MtLnWuv0/AbPt87ujDPOGL0hA6lD1pRTlFA0rw6bMZA+J12oR9ksUVAHGbcbu6CgK6GQui4Mxy9xps3OrqCgPVifhkxJM9KvX78qLYi1ayJp8tAlqbOuThQPqTIlaq2dKVa/bXoQ2Tv33HOr9CXInxMoRO+shROBQ+KsybOuDuFCCEXoQLoU6+CsyzPl6t3IoWchfspkDZ8IH5Lo2uZ1dcroGp87hxbxKyhIkAdT+gUFXQmTT+oCFEw8cJa53si6poKCjsBGB9EyQKIQrlNPPTUGDhxYrbNLwpSkzNo2pA/hQ96sYfvd735XTa1aNyfiJqrn/+ecc87/Ox923nljwAMPRJ+77oqhSy1VTbsiaNbcyW8niuJdv/zlL2P77bevCJ1pVuTsD3/4QxWFy3eL8vm/PHi5AzedNvJnLR1y2JHBDQKp3O5VR79txDDdvOuuu1aRxYKuAesxy5R8QVdDidR1cVK30korVdNbJVpX0FEgQNKUAHKHZCE7onfWt4EInXV3a6yxRhXtQMLImbVtNjjISyePnc+feeaZ2GGHHarp1pmnmSbWfvnlePjQQ2ONG2+MaZ59Nqa86abKwSJ2nidRsSizd1o/hwQiZ6Z5kTdpTxxF5tmmX5N8InV1cNieqSzIpoTJCFoz1MVZtP/4xz+qyKJrXefUjM022yy+9a1vVe9F9gq6DvQneR46dOikLkpBwQRDIXVdGKIZps++8pWvfM7h1a8pKKgDWUNoQGTK36JmpkDB+rrcCWsThLVtHCTyJP2IaVQkSIRv5ZVXriJpD1x3Xdz1y1/GIWefHe9femm8PmJEzL344jH1lFPGp2+9FYuMmoIVeUOykEM7Z03jGpx4X27YECG0UcKUr9/5WfP0q9QnonTKxXFbV9cqMqMOoozIm5Qq6623XhVZNK2LCIIIInJa0HVgIGEZQHeZljcIKuj6KKSuC0OuL1Nhoi6iKK2y7lt47rqCAiAjafxF7GxoMCgQ6bXpwCDAVKj1dqZpXe9Uh0022aTazeo607Sid+Tu1Ycfjhlvvz0e3nLLWO6uu2Lgp5/Gs7POGgt/85tx589+FgN33z0GRMSi110XH779dnUfIma6E1GzE1YUzvOlUPE+0TfHi5mKtUMW4UPARPYybYnPOGvlJN+IJlLYvFkijySTLLk9WMbQ3nFkBV8+kDHR3+6wgcaAx1rUgq6PQuq6MDKlg0XkIg/N0TrOmcOzW7Gga/X7uPZpbpJwgoPpSCc9+BtZsvPVTlhOUPTMGjgEcP3116/ulTRYVMz3Lzz9dKxy0UVx4y67xAp33FFF5r6yzDLR48or44Ott44FN9pIGDCm2XHHmG3WWeOxDz+MhV54oSKRplrtcHXUmI0VoobSpIimORpM5FBZlEmePGtGRQb934kXgMDZ2Uju5dHjwFuROlPFHPuY1sqJGCKsbSUwVlblLvhyII+d6y6pbiqdbCNBd0HXQiF1XRTNZ2Vam2SarB6t4/RWWGGFKsJS8OWBfmsvka7vzzvvvHFaR+n4LevoRMVEzUR4ndeKwCF3BgKmIU1ZkjERLjnnkB1OQ267h668MhY7//w44S9/ia+MHBnrrrZavLzxxjHbrbdGrL9+jGw0KpJk48NDjz0WvXbYIV6MiLXuvjtefOqpKtJnWhXBA1NkoobInUghGfZumyKQSuU0OFGW3D3LUZsS9hxr8F566aWKIDZPoaqvCCTdGFO7eD5C2QrIbj1Rc2eF9lGX7g6DBMfMSZXTHZagmGqmK22dkVzQdVBIXReFyIS1TImM1lkEnuCgOHCOutWB6QWdEwgVktMWfIcIjUuOwtwkYXMC0uRUCASPLInaGQT8/ve/r6JjrnOyA9mxsaHf1FPH1bvvHu9cfnm89M47MeuMM8YWl10Wg049NVbcaqt4/IknRq/LQxRtiECm/vv66/Ha7LPHBREx31tvxfPPPTd6SQDyKnWKSJj3cMTIqvuQPLtpEcQLL7ywWs8nEXLWAxF1n53f7lFeU6gp65yc56tXW2tOQVRSqhanW7SKgHKUNlZ4R67766xAatura3cBktO/f/8qQptrRLsyrC+1jIGeFnRtFFLXRZGJV+swpfXoo4+OHq1xeAMGDKimroqyfznA+YhAtddfInUW+49LRAbR5+zIxje/+c0q4rXVVltVg4QjjzwyfvCDH1REyDq63XbbrdpIgGBN+eKL8eEdd8SVN98ca9tYsPrqMdVvfxu9N9qoOqfVdCnyZPpURI+TQRiPOOKIKoLWa9llo0fPntHr3Xdj0D33VKdMAOIHiJ2ymeKU4uSss86q1vQhmT7XJsqIXCFWUqwYxCBu1pWaYlUnEcUkXggOXVAHetHWLkiR7CQArSJ1nmMjhaln6VtaAZk11TupgSxnW3ZnkJdMbG0DjchdV7cbdMBgqqBro5C6LgrRBTtf6xCts/ick6XkHJ4t/ZxqmYLtHNAvokJtweL/+k7UZuQ6MxsEbCQYm3VeuUnCgmrPEBWzHs2UHVIjWrfzzjtXMpPO4Z0XX4y/77BD3PenP8V0w4bFcv36xVJ/+EP03HnnmHammSo5RJasdRPdQwCdNmFnq2iJaJoIV/8554xpVl45nFfx1XfeiU8++KD63LulQhFlUBbROXX0owy5icPaKFOsmbDYewxYEDH3u0+UmvzntG6mLhGpVs62op+ic45BQ6S1KfJYh4ioiDey1Cpap1xSpZienZSRPOVGYJdbbrk2z8rtbpG67rCujq0QzW5v+UBB10Ehdd0oUgdLLrlklS6Cc8nvkQSOp2DiA3loL2KDQIiwtRU1EhUyLco5N5OLOsHIvhYdG9tNEkilyNNvf/vbateo/5t6lPOQU/B+juIH3/xmHLHYYrHRffeFVUk7rrlmvL3ttjHNmmtW5NS1khCLDpn63H///asNGNa4eaaonalc0bYqwrbIIjHdzDPHUkOHxicPPljdv9dee1URNjIrXx5iiaSpP2Io8mYnrHcgou6xwcM0rBMtDFgMbpCt3FGLYPpb26y55prVdSKHrdbEIbmuRRY9WzvU+0893evdIIKZ0TrfWWtnh+62225bRSvVeVJN9Yng2iWsj7VXd87Pps+sp+sOpA6B1edkuVWexoKuhULqulGkDjgnzl7UI9M4OEpJBKKt6E/BhANCYNqwLVjvhOS0lWbBmjDEoq0pc2TG2jJAvpDEjpIIZJIsMPyZ101Zk+wgBM5ybYwYEWsPGRJTnn9+zPTBB1VZhq6wQmxx8cXx0bBhVR2VDWkSvULMyJpy+U5kzBmwyoqkSlJsamjwG2/Eh9/6VqwTEf2feCL+d8UV1aYJ0TxTqAiraVeDEEROmhP3i0qablVX5fZe0SjToTZxkHcRTuWnF+Tc9K77RPSQPWsQEa7mjRSIroilaWCRvGzThMGQ8iAJnoMgIIHqab2fdzhJAxm1aUM9czPHpCB1qfOmpkXsJwa0Q2eYam4PBgNkvTuQOrJPL6666qpqIE8HCtoHW/NlnZIvpK6bReqAkxP14HATJbnqFzdqbivZKWKAXCM/rZxM7vp0DYLSfBi56IsIlulRTguBR7g6emg50oKwIB8iuaYuERanKuy4447V1OtcZObqq2Pja6+NDexMXWut+Os3vhErbbxxVWZTnmeeeWZFPJ0iQdZyMTqZ41BMm8o/x6laV4cY+a1thiy6aMy19trB3fZ++OGKfIk8injlcV1IoDJ6LmInCmF3tyiZaVbPF4VxBi343n0+8502QU6dL2vTydZbb13dbyrXSRUGPLnuVGTR+it11z/apX6yhDYzNYwQJklCnEQolROpzPqbChftRDoR2y8a5EDdQTs9+eSTLQn/+DozhA7J7qzQt0nowIDhy+rAOwL2Rp31C7tR1tW1DfpgEGuj2LhsNOsMKKSui8LITJSgFRg0UTxG/l//+lclyGVd3RcDhKCtnGimBUWYkO1WkTrGWKQHWkXqOGnOWiTKFCSYbuxoZMhmAdOIHByCaNeoaJdoFhkZLrp13XUx3WuvxT29e8dqZ58d8Z3vxHODB1fk5cYbbxw9VWmjhoijZyiXCJsTKBAohFPkywkOrhWxI5PWOLn/8b33jqV69IjlnDn7059WzkiKlr///e/VdLD1aX4DGfcO07sGMiJQCByDTKZBXZBM8i76iFAhr96HKK6++upVRBCxM0XF8f3zn/+s+sBAR6SQod9iiy2qcoi6ZbTD1DBS4B3aSTTEej/krU4c1MG0tvquu+66VU6/iYH2orLqilDqZ+Wo7xZOIJ4ijOMDctmZT2nQP3kSCdDHJN5fVrRXdvUlnwYfBnxlqU1rsD120bMRlkt09mhzWyikrgujLfKQO6E44YxEIHl5HFPBxAPHqq2bT/EwkuYMRcbamiJBRERUk8w0T5frS9EnRAMB1Jemlhj1MeWn8j0ihIiJuCE8pjg5v6mmnDKe+vGP4+m11455P/44hk03Xcxxxhnxrx49KhKovCJepm8PPPDAalE2x+G9yJF62RzBaMpNh9A44xWJco3yIhc+E/l64pNPYqM99wy04IO774777767IommQUXfkELvyiTLf/zjH6sonHKIpPmc88qzaP/85z9XpE37IH/W5InKIYYIoGcY0DDmfosMmjI1Raxe2gAhRfaQQ1Oy7snF9kgzomiDib+lebFWr74TVpQycwsi5OqiPBMS6u2EmFbHQSkfcioSmdPp2qB5w4R+GN/NHMiwgUlnPammvvM1QX5a1bueAqczQ9qhtjZF0Rf6Td/IrJ+Cz4K9NZihEwbWOVBrq+8FTeh0Z0QhdV0QYzJCjBqHRtE5u9wR1dXXlnSWfuH4mw0r8oFwZNSgfn0iU9AkkKfcLIEw+UH2RKSQrZwmzKm29oC0iCxxDIin+5GcWfv2jS3uuCPO++Uv48ERI2L25ZePqXfeORbdcMOKYBockBkGEJHxThEghMU0pmTEImHKigwhe6JYCKn6JanymzFFPhjMaQ4/PD6ecsrYYciQWPXuu2PzaaeNu889NxYaOLAqo7ZCGEXvXI/ASUIsAqgennfKKadU9f7GN75R3YNsIDTk3hmvotTWyBmR547eXPOGdPkOAf/b3/5WETLkVN+IforIZUJkRAjJFNXMvqNLmQfPu11jfWISBwTWLtyxWbjOObe37pV86ItWJwfQcWUidxmdU0cRu/oAAokhn6024XQUeVSc8nT2na8JJLTZ9ukbjr6zJyemR+S8VULyTEBuWYZlAWwD/ShJiP9/aBNRdIOxXI8MbKAlF61gqQX72BlRSF0XBCdnVN6eEJtCEo7ncJLUlSnYiQvOAUloReo4fCPpRHOm+4y01KOvCF5OwWauNBg8ajo0v/PcMeWsO/vss6tRqiiaiJSfV2+9NeY+4IBY5vrr480ePeKpjTeOqfbfP77y1a9WU42M2v/93/9Vx3eJ8HkfooPEIanKmzsM1QXhE03bfPPNqw0hpjJtULD7lBwiUQYb2uaRF1+MFXfaKVCey268MVY88sh4Y999Y+4VVojnf/KTWEbk8Pe/j1evuSa+u/ji0atHj4pUaRPEloPj0KzJE20j1wil8rkO4dAmHLf1fda/IaJSlyBsgCQipYy7CJ220f7qR4dEuRAtusRpIgb16FvuhLUeEGn0jsy7Z12k772jo9Cm+qmtQZu6eUcrAq+8CCHHnjuBgZzUo3UInrq2d2JJe0g57cy5L1tF6loNaKW80aedPbKFeJCJVpFGZUfc1YPs0lk/nZVwf9F45JFHKvtjurVZJuhBq/Oek0Qb0HVGFFLXzTZJABLHyJtek5A483OJUkyK8wE5As7tyzDNMb7OBKFDXOprjjg/nyMGdSdTX1dXJ22J+mYJkSokHThvI878jpNl2NtaDC5y4we5YeSQq7nffjse3m23mMN6tznmiFn32SeeHTCgOuIL+UPqrAEkM0ijgYTyiXpZ14bcMIoJ/YvIiOb5bSEyIohgOTv20ksvrdqBwxHVQ/rWPfrouHOddWLB5ZeP+5dYIhbv1y8sXe7x0Udx7o03xmp33RWr3XZb/G+jjWL9H/wgnv7tb+O9Z56JxsiRVTSQI7ORAsFA1LSBaRVr4zwfkXSNCN0111xT1YNj1xbaSvsjZLvssks1fYx4K59rlNvfpmA4SPXSBhxnRtP0MwIlCiCRMwLl2Tn6117IVUfXOHEkpufb2j3tOfpG+VpFeX2vbzmvXC+kj9RfVFG5DDpMN48rqdOH2hu57qzEQVS5edCrr+qkTvuxi4h3Zyd1bDY73iqqpOzqkhF+yzPIZHdfV9doNKoBHz2g2/XTlxJzzz13y3V1uQyGPemM6JylKugQGPdW0zFtpTNJ5DQS4rDMMsuMNuqiCQR1bKZeKAeHOD67xxgYDisPY++qYGBzLVx9VI0YyN3W3nQQQ8Ih15HRENEiRF5ULBPMcsr1XZqMfisyoP8QLPchPPq/lzV7p5wSNw8bFo2115ZnJXrPP38lH4iiqTXvZdj0u/uUlzwh6OqZOeNAWaxjQ2y8R4QOscpzXEWPbHYwYlZmzyMTk/fqFf1XXjm+efHF8fiPfhSzP/VU3P7rX8ewzTePaffdN17ZZJPYerPN4o2+fWO6d96JN+65pzqNYtPBg+PT66+PoYjlwIHVbtyVV165IhnKjZDZLKC89ECkyqhbO2oLhNg6PA5QGUWw9ZH+sA7VtKlymwK2jg5Jzb5pnurmQDPRt8igPqvnw7NpAuFttQ6u1VFk1iSKIDXrqHbT5jm1WO9770c49Q1SqAwZUVR/gwGDAlEJdc/dz+MC7UsWlK8zpkjKI8Ga1xtz6vU21Yf6nYx05k0fSeosCWjVZ8pObpLUkVM6+2UmdRNi6viyyy6rbLEp17bImeUJrfyaAaHBU2dFIXVfYnAurcLDSF1bkTrOw+jD+iXIcHw+h1Fv9cy24F2cpV1DHGUriOq0t2iaIxBRUa6JueOIYx6T8xxfJMlqBQ4XKTIdmNdwttqmHvrnfOvTQZkOo3kNRxJE5Imzzvcjd9aLISQZscmp9eYITuaxIy92qIr+zTJ4cLw1dGgsO/30cdPBB8eno6I3uVM1jeBJJ51UlV/ZTKN6vvVr0oXoT/2ufBbncyqiegidqJZpTkQikym7HykxyDDNKXKCYCFj3rfBBhtUa/Sef/PNmHP55eO1xRaLWQ44IPpcdFEsceONcfHhh8dTs88eU/XoEWsNHRpvPPJIzPWPf8T1X/1qrPTSS/Hu889XdcjoJzkzVan8SJAonXVu2hypVGZtyeiLIpoy3nXXXav7ldsAxEjf3+RKG2hHdclUCJwpEuj5iJwIpmu9O52qiBEHoa7tIaMD1kOJHnluHaJKIgs2SuT0UIIcKJ/6kyukvK5n0s5YI0TvPUM/jGukji1Qb23WVoLsCYWxOS0lQdf0byto27QP6bjp3Li854uE/kWkWyWTzihj2g7klT511k0sHYFB2vgMGD4dlYfTTMGYIDhSj4AizuS6LRnqDJjkpM6ImCEhbNbmcHjtQQPvu+++1WjTNI2RsV1q3Q2MJWLQigS1N/3K6BLoTPcApqpEScDnY7Mrj+PjkJ3H6f8iMnWF4/SMito7niZ3y8m4z1FOjIXJ6mwzgLJMzGlehKQ5TUSdADOyRn8ciCgOZ8rZJ5Ttr3/9a/X/bEejbc64FeiANBV5ioQ+QBQ8k2xkxMb7PKM+JeZd8onRKdNwSJhr+t51V5iE32r33eOtd9+tiIhdp64XVTv//POrqB2ihpTpW/3HWBrd0mXXea70I0gDR+Jd8tH5TnQrd82KFLEB3sHZ0G3Xu1e0jDwm6dUW3ovEcLrK9MY778RN774bM629diy7/fZxz/bbxxwLLRRv9eoVH4leXH11jDjllEB7vdcGCuVUXj9JsLWhKVJyku0kio3Q5XIFhJmT5xA84zvf+U71TN8rp+eJJOhbBMvfTr5QV6QMSRU1PfbYY0eTdhE//dbeNF/mw4OMkNYjuQiZ++mQPq+fJKJ/DBQMAvQvkqnOGYXQX+qiDpyVsoxr5D3P3qXTyGFbSbTHF2RSP7YXtbHhpTl6VV9P5966rvrc9/qeM9debWUQaB7UTirQl/bKqT9yWUdumqDr7htbskr3JnXUEumWE3J8csi9/vrrn8nR2h6ap2Bbzap0NkxSUsdoH3TQQXHUUUdVIyMhZOtr2tqBSUBNVzBgHIuOpdiZJb07gbPhuFs5gvamXy3cFqWrGwGkjgHkIHPqpaPEh0HjhDl5DptT1K8iC4ymtUyiLO05LNe5n/GxMF2UJA1QgmKNDxnj2CgjWTFl1gqc8vgSSmS7rU0JHKsRM+eBjDGQzQtuRUgQUJ9n5CCjWa2QBCeTynLI2pExQtDrSWDJSz1nnXe4jz5pf20+e58+McUzz8R7Eg8feGClb3RNBJdMieSJtpGh73//+xVh4xiRU+8TPd5nn32qvxEZbU6e9J81exwQvSWH+kTZXef5ZARx4mxE0ciojQXKR87ICcKKLDLK2s9UJAKYNuArK6wQPRZaKCZ3tuwee8TbW20V78w+e+zx8cfx9pVXxryvvlptNjAQ8W6EyvMyQoMoIjZ5nJvUJv7Pzug79zHsyua9SdQQcMTIkWA+Q8w5nyOOOKKa7kWicqOIwSvyJZdgJjqmI3SllYy7V5vUdVr7kOOM4iJmIqV5Tq8ypiz7XHuRP32uvupSJzTIs/bU1tYAthVtbg/kVjkQOdPpiMPE2CxhGQF50K5tOXdtYqBqjWhbO1/VNTfFQEbH9aE+SpDZtiJb5LyeuuaLRj13JR2uk1wynbMA1oayy8DejMu6Oj6abZ6UO2f1u3q2F9n+4IMP2l0+4BltDZKbUd8soc3IR2fnG5OU1B1//PGxxx57VNMaRummcxhtKQRaIVMLiAYx/hyXnWjIYGfD2OxqGxdwOASu1RRHHuDcDA5AZMT0Vx2iDwxXRtPqa3IocHtKnFG2hKkd6SIYW9EITlI/tUXqRAQ4wwRSiWSKvqaDo4SmBscnfxbjZ4oSGdE2zUaB43YKwJgixe1BPyi/OjW3mQGJtkIKtIdrEZLmBbccloiJqezcJZtHg7UCJ1pfI5TTuaIkSBTHlmVJIsTYu4fzyogVQ6gci73wQrXjdNZFFokes85aERwEQOQHgVQ+fawNvZPzd3KEXbBg2pTBNJ1JNhGKX/3qV1U5TRmKgmkfbeCUBo7ZVLEI58UXX1yREobTubMGCJdffnlFkk3nIViey1EjkKZARRdN5ZIN9VRHTquaZptuunhk5Mj4/pNPxjTf+lYsGRF33HJLzDRoUEzZs2f1HrJfXwenTsgOsksf1IEz9BsBQ6yQbYRN2Q1e1NlgVB1FmhFbjl6ELje3mDL1eRIHAyCyok2lZtEv+jg3LTWvmUrHnVAOn2kL94gWei4ywpbqI+RaOfSzyKI+dz1Sx87WT5DRXsqPDLKn5G5snXcO8PQvvfeeCU3q9JMf0+L0RzRUnZqnHtlf8tI8k1GP1OVSgkzpom9cTzfryyFa7Vav943rJxXRqctG81Rh7gB3jdQsadvUR73HdlMcGeV3J7Zvaw+5e72ZrNdx8803V3amPTllbzoSJDAIy4gmO1TPUNBZMclIHUdigbIR5+jCTDZZ9XdbR8wYJXD4pl8Zbw38i1/8ot11UhSO0tZ/vgggVuMTqiZw7UWNEIRcp9Tq2JdW4XjXccbNOZqAk0ylr6c24UxthBhTlK0ODtBUFgOvjznctkL9ubC6XlfvV0bOSN9SQIRsbNb6teVw0sGSgzzWCQE95phjqogLxzuuSIeRU4bN33GcnDznzfGpX/OCW2QWSdG/CAdikUeDtYJ65MkhuUlCezNG6stR1fVJ2RhEhEg7IyX6oFpr02jEHLfdFiaTltt++9Ftg5wghwgcRyqyjhC4lx6LdiGrBl25VtPaOIQR6RK12W233aopekQTWUM6lFuEygYKp0sgOjZQ/OY3v6nay2CPjNP73B3sniQzjLf76VrqAxJqmhIx4QCUb4hkxbvtFkvtvXdVtg9ffTW+etFF8eGoKVOymvJu7Zv22G+//Sq5NjDh6NU5IzIint4tDYL2yXYmw3Q++y7bAhA/36uHazxb3/vMICinsclfc5RMG2pf19anM9lC+uV75WE7yZafH/7wh9U93kXO89gjBF17cfb1ZOPqSP61GQJP19rK0dUWUpfZcf2kvybkUgplEi1ybB3CYmAgUuz/yL/Ip4FDJoUVUVGO+pFs9dMktKU6Z9+nzWmeXmuL1NFh5JgeTaojFhH5PF3FQC4HvjmAVx+yaY0rmdPnfIO2S3tKR8j2X/7ylzaJTk7z0i3yM7HWPitLe8t/yDrd5sdaDfKHDx9e2Y7c9duWnLq3o8cn0hlyXEjdGKDROezmuW1/t7VGgeKYCnIf52dqw4j+Zz/7WZvvYZSNYPKHM/kiYLTcatQ9NspqCqfV4leCy3D6ac6l02pnV4LDEJVo9b3PheMpVSo8J8AxU+hWRi1zUjXD9ZzMTjvtVG0XRyrqu/HqyLVEIj31tXiMbR5jluQDoRgXaJP6Ad7qjwwgBr///e8rZWXIEQuy194Irr3vcmpH3zePJI2KET6GVZuqa/Oi7ZxyNRLlEDkNz2lPZrVfrp9M4spx/fKXv6wMoHcicIjxBRdcUD1PdMP7Tekic/rGu6YfMqSSt8HTThtf3Wuv6plkmOP0XI7TZgLXKiMdTLKNUCGjIlj0UxsjaIiGKdsk1O0hZZksclAczZ577lk9h56LNnDE+olT4aw4qTxdAolSF/dnnyufMmnb97/61Vhqm23ig96948k33ohlbrklHhkVhWO0M2cV0qjcdppe+Z//xByTTx63nXRSLLbQQlW0DiHSh8qQUz0IhSiZeusPutGcJiFtXS4v4SDYNPrsxAxREHJSz1SvHumg2L56JJmsqLP6sW31hd/kih57HkcsOu8ZdCpPGKkvtchzg7UnXdDOpr7HZhqWLJLvHDQaQKjrhIhiKTebIvqWiaLphQEDO2iDDnJs0GT6WJtpL3JZJwm5yz+PUUzbAvpOebVbR0hdLp3QvnStLYxpE8y4ghySgYz0Z7Jc/ctuqrcBlDqTDXqY09UGMvoL6bMcQR2R4LbWUpJ15JFci0ojz+OyCYZ/aS8IY0Ch/9iqVucjG/joM4PGXAfeau1p/6Yd4IlcS8qmtddndZAH7ZTLjDo7JvlGibGBDmHITz755EpYjZQPO+ywatq2LRx66KGVwc6fL+owY46hvdGM79pbYJtr3EQthLsRMqSGIAotG6moT3M+M4rQamcO481gN+c6S1Bo0QWOTVSI8jGinDjn1irknjmp6lBmzt5arIysiPRw1q3WpegP0QRr6ernYTKwHJZ6I5sWq7c3gjOV0tbuW89nkNKYkCNK6rd25DAYqkzz0mqjAwNq/Q1C1JaTSlLH4dcTvIJoST0qpz/qEVPPNHVnFJqbgDgYRqqt9XSMk/bNXbB5YDtnw3jTDUQMmVAnU1YiZiI8yqKvPUO/k6EV33or7HlsLLpoTD/jjKM343i+spA3BEuZrIEj4/kcBlQfMbamUclBHr3EEHaE1OVgwvUMt35X9sMPP7wiygYHnIl+1k7kz/+TiGU0THn1AYfn/4i7MurjEf37R8+ll4735pgjlh8+PKb797/j0q23rqKUB3/ve7Ht4ovHTK+9Fn1++MOY/ZRT4uO7746NTjghzjnwwFj6xBPjsXvuqTbbKI9y6VfECakQaSTjdEldmp2OftTOOVuQiYxzJysCutdee1W7h3P3qTpy2mRPRLN5pkEbcXRbbbVVS5Kcg0KygWw6e9d7tZM2Qyozf6KIVcqvvmSfTD03O1f3tiJ7ZFD5krxyrtpjfE+poVfWD6pjLvrX5kidNs0d3NpJ2dgbcs52sRk5tU7/kwDRh9ygR1d9Z2kBuW5ez9tW3j7tRU5z80yrNtH+yt6KoIwv9Gl9fZd+E2k2s8L+kifyz5argw06fIi2Uh5RTyRwxx13rKK6mfi7FbQX2TWoYZsM4JpncDy3vYG3763HNQDSJq0ibZngG+lC7HLAljaSvVJOZF75m/HQqCTurWZLIN+Z9qMjU7D0iI7WI++dGZOM1DEejG7z7qicRmkFjsHIqH5QNmHMbfStQAAZs/rPFwHGw7vamsLgZNqa1/cZQmX0joQhGkZZ6bwJut8Ug+PIRe7tpTMxwteubS3y9HxtlcRIPzBYCJ4RoJ9mslOf0kxwcoy659WNjXe32kBACUU4KJv31w0wRTrggAOq35ngti3jKBrV1joLjk95fv7zn1cjQUaFc7AWTHSEciMwDDdl1/Z1cCDWPXEgjEk9z1gd2gxZRCI5tHqkFhk3EGE01ZkMZzQJEBZGONfbCfmrb+72bIWMFGSiV/Vg8LSzhfgivZ6p70Vy0mBnzjqEmhGujo964YX4uqTUjNi661bXIYZG9MrgevLonZy0z8i48pILskI+XU9mRY/UT7k4zpwibg+5+zCnON2Xi93JeE5viywgMvrFlG+eYqH/MvrFELsmEy8rd56vu/ASS8SH664b02y/fajp/664Im7bZZfoe+218ckJJ8Ra994bj114Ydz/8suxipxWvXvHDL17x4pPPx2zPPRQ9Proo5iuX7+qn+harvkz8FF3sijC6HcuO1AmZchBZeo9YqKfs2/oE/L2pz/9qWpnZI5OG8B6nzqlzLAtHJ9oeDrrOsiG6VnT2MiZv/W19sgziJFo/ZczGdqXDUBu6JoBnYhXfbH4kUce+Tldzqn/+lF2Bpfaf3wG0upoYCJCV5chzp2OqIs2Q3DUiaPPTQ58DHnk3PW9Z+UJJ+qcA9wcgJNxjrt52QxdbSZsmTeQvdNebSVuV/fcjDQx19ORL5FV9po8IHEILrtqoAWIjjqaFdF+SG/qB2i7tgg43aM72oY8kg86WSdO3tXWZp8sIzuMROoXg1hyyc5oX+3JVlumQedF5OkFGc9k4PQtZ6gMGOrE0P+nnHLKym7Up5frIJ/uZyfbWytZh3rS45Sdzo5JRuoYAE4O80/oWH+LJLQCB2x0VFew3MFXz8bfGUCwEc62QryZRqLV7i2CzdAjGJwzRXQtokBBESyRASNXAkrRcidTq3QmDG4ufK6TrToogu8ZdiSAsahH1qxDQ3bqbd98FimnysDppzoQNNM/zWQokx4bmXFKHAhyo+6m3siHenFoDLs2aEXckujV01M0v8fnnn3qqadW67pEmLybIfvRj35UkRBrt/SbPvObA/O5qKkyIC76FKFuJrgMHQLCcIpUauckdXkwNCekfRg+baSeDJE+U099wKn+4Q9/qJxvkvW2pjkyUpAnS+TzcqE6cn3wwQdXBowBRYCUQxn1MQOo3JzviMGDw9LwNxZYIJYbtZFG+XM6i7MQAeEsEGOblcigtvWMus4iZGTQoIVDbJWtvRXIASejP00X0Q3y71nere1Miyq/yO7ee+9dtZtIDVnRVqYORdLUl9FGZGyAsfb2kEMOqfrC1PGw4cPjtU03jXd/9rNYfYopqnV3q1sM3a9fbL7ZZnHe8svHVxyJ9otfxOC99opXNt00/m7tXaMRi0u8fMstsf1mm1XvVF/l8l46RHe0kSn+008/vbJpfuTXymm/+hrT5kg4gkqvrHEydWczGftG5uiYH7IuNyR9Jc8Ga82Ram2vLRFdMqF9yVSuq1MWvzk/Ttt1BmDIOwfq3fqXnUFeyLeBpLqJuLQajLMz9U0G7NW4LptQZlFfa+jqm6mal31of+UT1Tfoqk+RIXj6iA7Xd77SE3YU6BDbpt/4klbEpnlnqSlyvsez2ZW2pmARL1GtVtF/uqjtTZWOy+HwCD7dZwfICl3J48DYOz4m01dpS3XkK8gq+0PH8og419GlVsdEulc9yZ12yHXHItP+n36CDSKnrdov0yfpH+UzmBENttbPc22EUwdkLNfPKg/iSV/Jeh5hyIYrj76qDy7IwDKjCKxy5hnQdfBZbFnuZO/IFCwfITLf2fMVdorpV+lMpApg7DQuI01hjSzBmizTpwnfE4Dvfve7lUJx9Iy1jROdDYSQcWu1gDazmls3lpsB6kAuhM8z2sdgJ0GgrK7PhfMMBkV2T1vpTBhVwt7qTFgGJQ0OZ8OJM9gUjhE0EhOFYLSNruopMShM7rLNdY6cb3OG7gypu74emWWwGRjGicJkWhRrpzgZxsh36qi9kNxWu5ootugTJW81pe3ZjCZDIfLHMWlHzzIy116MC6PD6HmXKIvonDL4rk5MTONxcDm1pYxGk4iUNst1TgwPg5eL6SFJCOOmD72Pw1dvZfcdYpKL4nPqsxlJYJXLszkP9UOcOauMNnC0+tT6UwabPrmPHKi/sg8bMiTmfOedsPd5yIILVsYuiShynUbWj/cwlnnYvbbkHJqJG6ehP5WlI1OvzXmhkNpMuIyYiQyQK+8++uijK4fFMXD4pmroG6ei3TlsTlY9tKF+8UMH6JHPOXt1e33hheMrN98c8++/f7zzk5/EbN//fgw64oh4f7754uuHHhrLrr9+1X/vfvpp3LLiirHaiivGfD16xIAHH4zHDz00er/3XkWMECB2KBdwi2qoA7nLCAfyzInSlXqfZiQ8bYV65uYYn2fEgc3L6Va6o/76UduwJWS2PmNBVxEV70aKvNeztKln0zG2Q/lyepGt0V9kXr8qJ9tCf72X4+VkOdD6u3IpRn3tKpDlVgPXVmuF69Cm+tSSgeYIiTaorzM1aFE2n9fTA9En5ReRFxFKwtk8m6ENDHLobaszYMFgRnshdnRMm2gH8m/QnbrcHKXyLGWqz9hoIzbLjAF9R8p9Tx47mrYpTynxfFFd9qOem5D9UP/MDMHOq5u/00aymRldJBf6ONcX1uE7tkw/kE3twE+rMz9F50Af0KtWy47YnpwOroP8GhCK3pFvz7Upid7++te/rgY76mIQp37aWhn8psd5So42rad3AXav2f9qL32vrh05FtNz1b+tenVGTFJSJ/px3HHHVeH8HG0RkFyTocHrW+IpsigHQ8mQc9AInhF4ZwNHiHQy8s0MnwIz1pRCPeprAygqYyyylaFhQs/oZJ6c5hw7piZcyyg0R+oIJaPKWTanOfEd4+nZnJ1REOeUC0KVkQFj7CiHKBnjqE+a06YgOQxGqxC1MnO4np9Tm4ik+iCKafgYC+/O7PiZ1Z0CMtzub3VYuc9Eb1opcebOErlh+Dgcoy5RFfLl/9knjKuy+JwcZnSuGciNZyGxjIp2F5VBchgvJJrB4WT0pR/14wTVUV38X30QK4aNvGhTzlXfZ243TrY5cbMy0pWcPmIoM7WMQYL6mmLh5HPqSLuK1HmuwZEpbSNwhvC/l10W04wYEef27RvDR+0gFYkjZ+oqApRThBykwVbmV2No6zvY69BGuQu3o8jpXH1eH8yICGhf5WHUkTnOSZ0NAsldnhhiwbw+yKPBcr2T3yJ6nCB742/ycsfjj8dOP/pRPDZoUPU9uRMVzrWlnmmNFj3Z+YQTYt5DDonpZp45Hnn//fjG1VfHPX/9a9x7991V2fWFiIm2Nd1PdzhKfYaMklV/N0/xZSScDLAbomY5wFUXJEBZtQFnh1T7jKxkBE59cx0fp+97xMO0HOJnwMVJ6l/9ks+jz55H7vVV7pbWBupuOizPuiWfSBFylM4c8tzeekQNPF8b1tepKZt10e0RO7Jr4JM7O+vI9XT1ZybJz01gZEhd9SUdI/c5QFFv7ZGgk8qprm2tn1MO9UfEyB+b6vlkXN3ZRvpc91f1DW3ahv5oW7pp0GSa1P2+Sx3K3INjAnlif0Wh2SmDGOSDfuSyDbpNPth016qftiNfOSuTesE++n+rZNGZ2NqgiEwgQ+wMqLM2I2vakb1uJkrqow/0Z1sw4HednfTsmnRHfuiA8qmDflOvTOND38iAsuUxij1GRSnVtdW6Ou2e/nFMS6TAe3JQOTGm0LvkRgmpAzI3UHPSR47HwvQ6EBwCwvjpyB//+MefGRl2JlAaxqR5pJrOCBAhUcoMEzMUPiOMf//73yvl5VyMmjm2+jqKjKaof04LasN6pC4Jj3c2T70qm2tNoykDAaaYoizuQ+ooFUPPODjYHHlBDmxOcT8DyCD4v5FfM/LcyTz3lPNRJwZWG/jJkwoYRJ9zyjkqyyz6DBHCpK71HVqMUK7PNBJsXr+DEIlW5WYI70akRUy0RzqB3JCQuwEZqla5/hLK612cKOOsTBlxNH3GACAODDij4V3eqX21ofIwYKKYphgYK2Uj38qE7GpbZa1HRwHRNiWap0iAfvJDJrQ3w5ipKfQxR0yODIA4dZ+nkR725puxmDUvs85aGUlRPX1Rnb86KtEncqLc2gQRJmvWtilfe+3UajNNe6inZfBO8pxnAyPdfiMJ2sjfno2kqatpdJEhhNN7OZEcUNAbdf72t79dRX6VHTHRjggVGdJunqMMpiARgjw6i9Oio9ps7d13j9t32ilmW2CB4A6G3H13vHPKKfHkNddUbeP9SBl9obOeaXCAGCizgWlzOgVEXN//4Ac/qOSFvusngzTTn2SfHUE6fa9e/kbkEvSczOT32sj1ZNRvDp+MWGtJX9RNWyoLm0N+EXjlJS9k3HecpN8cm/LTSXJhYJEDVs+lA60y9at7feCqb7y3rbV2mYu0rZ236uY7G2CUU99yvEmoOH8+wqYQ5bVGkVwYhIlw+g4BTMJOxtgGNpejb36vfqeDNgZ4N59EZ2VWYCvIKxLaPAWrPHTPzIO2NStl8CEqpX/rS4b0FTlEMuo5OtuC9ygPOSU3ef62H+UhL+RH/7AtdJQN927yYbpTn+S5xgYOnkUHmsm2smfqIj9kkjykz1Juti2XFrAN9fJrV3amvWUYyCydIVd8GdnMGQvtyvaoj9k99lwdPc8Pkqd/Mip5/6gUPtq+flQiGWXf6gOFMU3Bei47rt/GNsVPtyV1XRWIUa7baD6nsb4WjRGhlIw/4ePkjagpGgdklE2hCDZFIoA59cAhZbicAebkKVZ9fUZGuzJSVofPlI0R807KgBRw1Aw7Ilafrs3deggDY0DIRVkZ4DTqzWB0GVnK5HukHdHJY6d8xqH64Ti9k3IiaJ7vnerAgWkLip+jRKgfs8UguL4+gkcIOAnOJqcbOROEgdHNFCYcg/f89Kc/rZ6h3G0tGvZ8U0McKmXPXdXu4yRyHRLj5kfZlc0UrcgLkqAc2lr/M0zpUDKdQh6lhXjUN1xok0zJ0DxtTzbUlQHVT/qbQ88joIDsiGI4no/h/PiNN2KqTz6JHS0eXmqpqr9zCi6jPUgQ41eXA04NuRclbg/q35FNEvVnM97kAinzflNdmUzZd7lGy7Wm55AU7caQc2LkASnnwMk2GRBl026+I7siJBwhPfQ9mXJPyg8dEM01DekaAxfvMNAg/29++GEM2H77mHKffaL/5JPHoFdeif9tuGG8svvu0c/u77ffjrWWWKJ6VtYJmbOsgayThWbo5wMPPLAijnbAKq8+1c9kjR0gI5kXzXOb8xfqF2VVTu8kA+STPpF1ztM96sZ2kAXygWAYIPmOc+ektQfHSDbpht8Ztctd0+yHOipr8xrbBAJT11nE0f3NURR6Y1OGARz5U49m5Lq2TC7MJiiDMqsDe6CvDVR9bgmF5SS5+cgz3WNnuKTYIobah13KKH/9BAmDCJFR9sH37DBiJFKcxzTaEe65eVxcgt6TXwNVfZb5HPWhNvM8AwDrLnNqTznoX8ou0ENtk+SE7htUI1OmP9lM/ctWIHNshKiv92kneqM++sh12hZJynQ5noUU+xyprPcLO8iPkRFy6x2ez6cgsmCAgICpj2e6JqOdmeS8HqxpBQNVspMDa/JLvq031UZ0lG6zCWTc85WTvdJH2iqjxM8999zoqFp9SU7Kd53UGai0lWOQ/Scz7HN9vW/Wa1yP0pvYKKRuIoHAET5CVD/AG5qnUCk8waMkmWKD0jCaHGqebUvAGVdGh6EnpLnQlSNneCgypUcS81giQtkqYuJ93uHdlEoGes/NKdIkNfUdQowRBZIHDSgZgoZEIDqtopLaIJWAY9IembYjd/MhqAwjYwPKK7qg7kgqkpzTtJmrK9eU1B0J0lKPAHiOKQ9GJ5NsMvacOsPM0eaUGKOgzZBp72xeeK4uDJSRN8fLWSEVyqi99ZloSa478/zsTwTId6KsCCaj43NGQ9swXIwv44GccET62XpGz1MHRBsZ4LzIVnP+K8ZQ+b1DfbUNUuK+nBLR5xkdrtYmcfgRcbJBw7vvVo7C5gpRDvciU+qSbaysZI4jVL/2zlBs62STMSF3rpFdz0B2yFimLVH2ejQlU5c4h1Ufi8KZJk5Sjbwht2QISdHunJXpHf1uIJUJrjksDogzpJfk2TXeJxKdU47Iks/6b7llfLT11jFyxhnDiqYd33wzZrB4/JvfjMsXXTTWuPXWmOXJJ2O1Tz6JS847r5ITTl0byq+prIiHNU/kkvzSYeQzc4mZ8qMn+k30z/0cEZ2jt/WoCLuiXNpM22eEngwgJ9oKMVFPeojkqS+5di29yPx22p8jt+RCW3hPDjq0q2f5LVJCDnIJgDarpydSj9ys5Bn0DeFEeHxGz0SOlBk5A3qgjs0pXJTRZ+qQZ+AqB4ervMgQQqf8CCASKvJv+lwdMnfiH//4x+o79tT76RW7Qqfcp238lh8xNyPROTpBfvST8qpbEjw2DBFmLzl/9pDNZtPopvok0fSdupBrNqQ+cNP37JwyKYNIGztlMKx8plzZDbtDtVMmp7bujLwgdtpbGTKKJ+LkGbm0Rvuwr5YwuT/Jm/LnOjXIJNTKpL+8X92VyyCZ3OhrAy/3i17yRUlSyQLi1J4dcB+9VV7vyN2uubFPedlcbaWv9Uee28tmJ6mFxqici2RBnepTsEnu6qTOs9mOVgSt+ZzX+jmwBpYGXp0RhdRNJHAiuaiTMTAaywgSgWQIjUopBMVgDBkQkShKmZmrKQTHagTKmVM6gpVRJiMWIxijO4rqfQwzBeGAUtgpTbNiUXRGioAyzgxJ7h5T9oyyiYQweIjc/vvvXz2bsohGcZ5G7jmKVzZRgFxEnQ6Z0aVs6ssYGS3nUUx58Lz6MfYMgRGbH8/KaSDl5zhy1FpfR5Gor6vLxcQMBePLwKmTNlIeP5yIfGP6SBm8W/sZ2atz7oLl/DhQiswI53o2fePZDACCjHjkmg79jPghT7l5QVkZJmXyzhxd60vO3Hv1I/IhZ1km09XfOQ3GKHFM+gy5SoPoWkaOQWOoGFcGWXnJgvv95vS89zmnSTz9dGxqh9vii1d19UzlRcTJqH5WF32lbKKy+lEfMniMLSeVP2Ra35J/g4OxmXpNkPncvEO2cm2N9mVY1a85sbcykg8R2Nywoh76F5En6/ojz53l3K3HpR8cbe601b6cM3n2ualdUTLn3CKNdEU7axdtqx83+da34qvf/W6seOKJMc2ll8bw9dePf885Z5UOZYCD7R96KK7fe++Y4dxzY+Sjj1Z6gzx7ByKPFJAbfWznM4fPseWyC+XlLMlFyhK9Ma1IV5sjWsqW+oK06FO/tVum7BCZ50wzf6XNaqYg8/g3pIlt0Y5+I7k+Qyxy4EZe9JVBjX42mMxdjvXIEptlYKn83k1+2Dd9wi56v0EEmWZ32Dp2xkAiB60JBMR79LEy0WX9ql+UVTvSV7LHppJP7YmY6i8y7Rl0Wd2RIXqH+Kl/2i12x+DG38pBBrV77hb33pya871neCcSrK3pgc/ILZulTbzf99bA+SFXeRpJ8xpLNtPA0XPIOluhjHRLG3lnpv/JIyPZDNchyN6lftpFe9hBnVF+epTkhO9hX8kSu8lu1NctI7y5Y147Iob0PBMW61PlVF5rSP2NiOVZ3WxoPSl2q2TUnkmOtIP+ybWZWQ66QsYMYtLmsoG5ZlG9MoL29ttvV7Ytj/6rD/LZ2BwAkity5rf20c4IK7tF7w0O8oSU5uToOVPTXp7ZSYlC6iYSCBahz/xnBJVDZWAzV5lRHONEmI0UXMeAI2mUJke7hJohZSwYY0Y81+EhQj7nABhLRIVRZiAJHWPh2c0JifO4GMqaazOAQhJkz05DKFrEOFqTceKJJ1ZTiIxHLkBWL8pKsTyHgis/x0JJc+0WJUdgRAZyOgNJ0BaZZNU9FI0yagu7NT3LMylybpt3veiDabI6GLtc7Ju70TxXfbSzfshTADJ1CnBWlFU7axdlVHaRFUZMeTgMjq15M4j7GFQOXvu5lvNljP3mSN3LESN/fitH5nUTiVEP7801k74TGfIu7ZcGCUFDvBm9PNYsN1IgCd6dqRpyGt3IlmNl7JWVs3HPh1LnNBox9YAB1aJ/jsb6QP0hUqh/clGxdiQD5JU8KqvIF0eDzGdEBDFSPqRXWZqPQesIckobkEfPyJNSyGvKfILjzWlI9eIgTEuJaulPhE9ZyIV1Tf4WGc11etrSs037ZTJvv20I8RzOXrTFu8mhKbuckvEM/YCY3ff443GyU1Amnzxe2W+/OO2AA+L1XXeNtxZZJP7PgGzYsJj6r3+Nd155pbqPrCALCETmotP3dAvp0Y5+awNki14ifRxxpu0QyVeO+hKPTNrMmZFvET6yzr4glIgsGSET9Juckcv6SQru0f/ID1nleJXH1GNGA7WTn0wKq0xsgXp5bxJv5fM+jhl5RMbYFDpIhnIgqR1yTar+ZG8QpXokEqlBAJEVaz/po4Ed2TZY0X7shTakj66lM/RMX3qngSz5ZvfYFLJkVy/Z4ej1szZSpzy/l+6RS9ciDOpN5/UL+6IMZIxcebYBj8/0M19gAMEGaqvmNeDahww2b6ijtwaiorieoY76whFw6kf3kxTn0g/yQhaUTxSOTOkrfZvkMXPY+T+bnQEBcuxzZDHbnE1RT6RU+3iG57qGXvA5npd53PQHIui5fJQ65NpBdoUNqZPG3ETBb7Ht2owNMajL9FV+s+s5Ja6ueRxdli8TCT/yyCOVj1Eeg37X6KPMQ2hwbsCAxCmXdif/2jDXWCufNm/eoJabaMik9uqsR4YVUjeRkOSIUCNyGYlClHIxM6OD+DEalIkR4yykRuAk66SEIWIIKSfHQugYBwrBWDLaFD7XWeVxRQiJUX9zAk3TcIxM5mfKdU+eYY0FhaS0ebg5ZUNOlAWBcy/DZ8SShCfz0Km30L4pRyMeBgGR9Sx1UqaMAHgGkqF+nmlzCALqWdbMeDZlzrUguTHEiEpdm3fbqTclzrxLeewUA639GAB9YU2NCCTHgzQgAhyZe1xrdKmPOHCGkaFnJBCl+qhaGfK0AmXSH4wHB+X5yEDeg2Qw+KI/PsukvRxqZivPKGNuhmG81YHR4nDqm1EYY3LDiCdpJj+5dpIjzRxT6sbhkB/tUK27fOutsCT6hWWXjTlGkUHtiegYFHCCnANHqG6cpve0BW1Pxj1Hf3GkY7Oero4k38BBZD9zKsqTpKV+Ykg9dx/QE+0sCqE/3cPJIxCZTysTEptyV24EkXzRP4QJKczcZoiGOuXmJ46GjHiG94jseCaCR3aXWHHFWHHvvWOLE06I1fbfPxacZZY4/e23o8c//1m9g6yROwOOdIjkiZwh8hw5mScD2oAssRHahe4gL5xLRjByB2OuI0X+lCOTU1e2ZuDAWGuNNSrHRU/IC52jr0gCu0CO1Itc5RIM8kBP8yB4OupabaGv2RGOUT3IGdsjcoN00HffZVRe3ZAoz6Rf6pbHAerndJbeR36Vnc6a4tNX6m1WQ1+QS9/nJhrlUn8yn2RMHdkb9SX36oCskW8klS3QRuRb3XNAS/aRR3UzONJ+onNsYfPUHBvj+UgGmSeTVVLvN98cTaqUqVUeOPDMVmu76Lgf/ai9ESptwGYhP5la6Cc/+Ullb9kUuoCApE1QH22QU5Hsg3YxoEbktKN6ai/9STf0v59cJ4mka1t1Ug4yqV99xi55Xg6GyZH+1zfsmjKQTf3CzteXtZAl7aOd6Ki2Q/LJifZi3/gidVG2jMipI9/gWWwF3SUXF110UaVDptcRcCSSriLESTLZX3V2f55R7v0GG7n2kD7wQepdJ5N0nX3nXwxuOyMKqZtIoDiMmPA858AxUy4khwEgaAgRwc1QNYfCUBiNElBClQtv8yxHQpbJYwklhWb4vve971UKW9+hgzRSEs6IEFJCQs/Y28HFQFEqz1UeoxfvZMAQO6NERjanFHNhbK7Py92JFMVInjJbgC/CqEyiPsrI2CE7lD+nWjKPGefDeDLaudOSceMY1VnbcM6+52D8rby5aaIVcvs5p+9ZyolYM1yeqz+UgeEVWVQ+DjnXwnk2Y6GfGIzcoMLpNqctoOA+y40qDJlIJqOvDbRPLvxFrLQp56Bf9L82zzxhDKgfTjZ3lnHYmf4lI7N1MIAIpO8ZX/1U3xCTJ1tkJCudWn957kadtdtzhRUqY51T9cBIIhXkhQwgtq2On5tYyNQmzWtQGVbEQd/k4vt0oPWErHltkmd9IPJmah0x0lccBuegL9yHxIhkkTd11QbeXY/M0rdM70GnOK8kl+SHDiPeiIDv9CfysMKqq8aQvfaqEhz3uuuu2HnBBavnctZkwMBL/9ElOl7Pt0Zn6JsoGMLnucqeEXx6zenpe4lZyTx5pAcp95z3x08/Hb0WWCCW3WGHeOOpp0Zv4tDWHKG2UifPoIe5bk0d2ICcnkcQZC3QrsrhOSIt7AYywXmrC93PTVj0Lge3+sF7kW3O1K5l9iB3PSoPOyaq4rdlH8rDhmgX9k9U2HNF9Q2okIwkX9qCnCOFbBzHTi/JM+Kg/92r7ZRfP+TmI8/P0wrICp3IGYIqX+Eo+6pP6uuiDRjU27UIgSl8dUficnCpffNIs2Zo51Y54sgW20B/yR3bWpdJcqudlZOv0R5sgrpkJLWeYSCnR5XfD5KUZ/0qL5khC7nbWt+Sx9133310Cizk1305OELcc1ClLO7PvIxsDTJOZhBvOkZ3MvggWqpueT40+SHfnscW040MOoi45mEFrqWLyqHPczPe/KN8UaYy0r/6k40lJ3RRH2on5eZnyQa7nPpeT3iuvQyC2UF9ob1dkym2OiMKqZtIYEgZaoaGsHAWdooSTOuyrM8hrAQ+iQxDQmmQJ0SE0hiRAoLA2BF6Rs5ol6B6HkLHkVAkz87dVIiIdxNwikvJGEoLtPOAZgKOjCGJjCAFy3MAPY/gIjaUpx5W950RD6GXhoHBVCfvs8MvDYuRG2PDaJmCcB9y5z0cAUPG6CBW2oNx8b40Wkgmgy9yQpFdzyBo3zoJqSPX1WXKBiSKgcp0DHnElDZjJPMAee1kRIkkyeWW6zxMy+UGA2VIUsdQMiiZz03/iNoxFJ6X09SMuX7jvHJzCuPDOWkb5XO978hLnuvrWTk6Vt5cE6lOuS4F4dKHOf1RZVo3vfHNb0Z897ux2HXXxaNnnBF3W8j82mtVSpPKMdx8c1g9tPjcc8c9jz9eGd16QleyqB6en+fifpGoH/OTjimR01+MPrKWRlaZGf968mt97DML5ZMQcwYpp/TSu44//vhKjhF+15Pd3F1KJxP0QTvrM33v+eTZ/8l2br7ItEscg+fo/2ufey6WsBbRRoMzz4xH7rmnep8lBvTP1CTHm6eLJMil+z2f7CNFdEeZ6SzC5J2IBzlgD9gOcscJkp21JSz/xz9seY/JRYQuvzwme/vt0REWgwfLAJA/DlwbqgvnjuRyjJkaBjETIeL4vNeP67SNMnGc+QyyYyAriqb87smzjOkPXbQuVzRfP+ob93G06kZe8ygr92oHcorgkmMECnFT30xOrT+V1eAMEbF+UmRL/+cuTdeKfCJfrmVj2EE6iSRnihH3sOOIoGchsvQ0d9wDWWHDM62UvkNe7K5FBOhk5vHUds1nnmaOt0xRVQe50LZskbZhvxASMuJ6dTHYIxOZ5J18kktERHndy3brX997DhtOhvkB5WZz9S3Sqz5sT66NRCaVT7vSQ/0ksu36tNXImbpnlFAbaTsRWGXmB3K9GxlOwphZFtj3PLsaDNj9jZyze8pKN3LK1TsQPn/re7ZdnU499dSqDJ7DZwpeaC9lFrkzENQvZMjf5J0cuJYeKwcZIlPkLU8Toh98pwEyu6Qe9ZNLOhMKqZtIYEgoPuJBCAk9ITnhhBMqJaLIeW4k4SRg0hmYojNCRC4szmb0fE/5kB6KQtEIPWUmXJSCQSV4Rr8csdQclE5ImbMQQWPwEUsG1xSv9xFgz8rFowwuA+j9RtsMOsPBKCir51L4PEzd8xgNxocCKkfuNqIklEsUzL0MKsOGyFIMCkPRlZmjNjXJebgnt8e7j6FhUBlcSojk+M5uPt8zEoxXTm1w2Jw+w4cUMRzKiEgxEEaeuU4qR2mVUz3jjKq/XJ/GL6NT2ty9eUg9cFQ5dc4QMmTek9vz3ZvTL9pFv2svxoDBZNi0NQOl/d2LrDOUpikyd6DPGLg8K5YDYaC9E3lgaJWBgesxZEj0QejOPTfiD3+IKX70o3jx+OPjlpNOinWuuiqmXnLJmNVOS0k1Te9us03VBxxzrsUD/aPvlXVcNjuMLzK3Xqvd4rmRwsBB/dNZkJncwJKgLxaJ1wlrfWqXA5b7ijzkNZlpnpPSj/Xd1BwLXfQMzip3JpK1XH+FmHMSSKM+0ZacCx1/hnNbZJH4pqP7HnggnnriiUovPEuZfvOb31RtXj+tQd/rXwM9OuZa8sFxS2hsgGMqk81BqFLuyA0dW9fmm4MOioVGjIh3rJ21JnL48Hj93nvDilTXky2yjYBpR0RK3TNfHVmg7+xJpufRRwin+qqbPsn1fkiX38qeJzbkKRnaxBpWTjLPH1U3NoqOIyt+9EMm37aUgT3JCA47oX7KwB6xA+TCPWRZn2UfeSd99llGN4HMmE1QttxQ4jp19Gx9qo31j/JqH/1rKi/Xx2kHU7jKq5x0mf3L0xoMGryXPHie8tWPTUNs2A02A3FpTv6LmLHzbLX/kxFldg9b7H25aUodRH4NvJEoMsS+eaf+UAbkDNHXJ/onTz7RdqZwU9eVGUnUvkgNe0VXyGGeXU3e2ELv1odOdzIDQia0lfszKl5PP2WXruiXftNX7skMDfqMH2KrlUH/55Q38HGmy/kKupd5Ha2vVP/pp5++ahc+zbNkdDA4UVd9py5kTbkMqPQf/6iP2ec8TjJz5yoT+5PLP9zD36h3ZmHobCikbiKCQuTiSsInkkUpCYgoiHUbhIOw5S4qQGIIjJERhSXUpuoYQ4aDwLvP93k8CiOEjBB+gp/r6xhsxoIDdD9FyrVEjAzFQByMLIXVCbPRr/dTXEYmE3IyVIy7+vibMfMsSsnQUA7v5Wi9Gynh8CiMUTdDRPmREX9TbArHyPmheOqrbByFsuR5qJ6t3fLkAPdxOJ7FGVhPwhjnDmMGTTkZrIwi+FGeXDRsZO59Z5x+evx6n31izUGDYo0HHog+vXtXi5EZCHXmqLSr8jD6mbU8I6ocKKOcB6a7hzPzuf4SMdA+6p5rzvLIKoZW/3M0nGLuSnM/o6lP01kkQfCdcpMhZfBe8jDkww9jKicKSKBsA8nBB8cD660XT/TvHwtrx4i47qOP4q4334ytjIZnmCFmWnXVqn39cLIJsoFoqmd7aUsmJnKakZOqT/1qQwSBXKs340tW9XMa/zqad0hnuoMEYo0cZXqQTF2g/zikeoZ8pMJ7tIl214fKIJqhf7Sb+zh9Zed86G+u47rhf/+Le7fYIqabeupYZ8iQ+OUOO1TPQ8a8NxfS2xDBPnAwnFVuFBFR8rf+IutO5KFHNjDpK9E58sHRDvngg5j6mWdi5L/+FVbGLbv99vHkkUfGBxdeGO/OPntMqy3+859484ILYqkll6zKyAaJTCNbnCtHh6SoLx31XUY86RMypdxIAVkVwckzPZWHbtJr07UGQe7l/NVZneiPQYo+St1me3KNVB5jiJhoP9Ou7IBne0eeRCC6zu5xukhLRhWVWT+kU9ZuecII0EnlVX5kRLoQ13uPcmXWAbbFsghtwSaxfXvuuWc1K2IwYKCsPMqIqOSJKOn42Vl9KaJUPwM7bQgbmYOrhLbVZgb57CnChtyqg7bPdYLkD4FCZPR7pgLJSCqZVG51YW8QGe9U98wGkNG13MmsH9h+UeA8Ak292VX/1yeepX6IDxmnM2wV0puR//pGqzzeDeF0f67Jy0166kOG6FQmUicHOSgH7xBN43eUnd3kA7QDf7vaaqtV14vMayf9rG78Dbkg0/SWHOcmC/2rXK43WEZuDfT5L+XPVDI5+ABTtPUIfmdCIXUTCYScYjHMHEMqGMWjRAxHLug38qFAjHOudWCcKZnIkVEFI8ioUABGifDmOizGnRPxDMKPuDBCIhCiYN4tEsFQUUTvZFikSUBCCGxOWTCeeTaiZ1M0xjIztytrTocgJhSPAjAkSAhFzaPHRPvUgwJQLFE2Sk+hKa4yM7YMt+gAh6V9fIe4cojqw5DkFv08e9C1eUB3jiZ9n7sblVc7ZfoDRoKBzF2l2g7ZmneqqWLwH/4Q791zT/zAZpMnnoiDR62JUgcKn+2diVZzwbS204cMBePkOwaLQXON/jNS9v5cmIuAI/AIlL5kYJVHu+g/hsQ766PhTGGgf7xX3bwDGUQ4RSO028vSOLz8crwzxRTx+403jn8tu2y8sN9+Mevee8esRx8dw08+Oc5dc81YeOuto/+228bA73433nv//crgcby5+xe0rXbU1+OSa25CoJ4YtHn6N6N1jGxGmvRT/Yi8ttBM6vIzbczQ59IDPznVm9AnZNFvba8vlQWp0GYicpw94pVn+pJBOqK/XXvjI4/E85ZimIa9++447w9/qEgTEsBm0EV6r++VRWT5peeei3cuvDAGXHppbD/jjPHp0KGVbBlEWU6h/ywOVyZEZpbppou/b711bGA3tVxgm20W855+ejzzwgtxnfV+a60VCy+9dNhj/MEtt8Syv/99DB9FkEQ39Dm9RF7otg0NufDdZ5YnZKodjp9sKrPP6AlnrM4GkZ5lmjNlTD9ZioEEcfTIBt2l8waf7BIbwm7of4PhPKCdHBjYsBvaS/uor/5zjWhiJlvO9FD6RR0yEtvq6D0RQvWgs7mxRLnIv2gbe6N85AYBNehT1iQTbGiuxWNnECPEg+3O0zPIKRLKfvnMD3nLpMTqljs+wdQzsu9ZZjfyxIXcQSp7AqLnuySM7EcuP9A26oVYIzci1tqCfVXO3DUL9F5ZDciVy9/aWx+x43mWLB/A3mVCZfKsn0SYc301veFHPDsHqfpM+2SqLMEBfkqb5yAt12dqV3bRMxD9XKMJ9EodlN+sD7kxkMjNh3PPPXf1GfubkXQy4d10LPOeZvoWARRtajaJXOonvsqSCPKrzZE6ckQm9ZOyCggIfnRGFFI3kUAh84QGwsXoEyJC7zNGCckj0BTXiNvIzPSH428YCqSCMDIcDATDYvTK0DCaHArHkYdNE1pKZ4qX8UXkMnkjhaOkFAq5I8CUEQnxQ/ARGUSNInoH4XWvMuQoOqcJKQtDjqxwLIymiF2u6aAU7mVYlJPh8m7vZHiMlDg811Aw785M5IyY8mk/76ZoFN39DIvPOErX2WFnpE35GFqGgQNSHw4H8ckpnUwIjYxde+WVMfiGG2KBH/wg+rz4YqACU264YRW9+No558Ti881XGTgRQGSUMaHk2tt7TacrEwemrRgghAv50xbeyxhyIHkagzIyat6vDawlYpw5JGRbG5AP7ZgpO7Rxnk6BxCCD2og8JTH2zBnefTc+fOqpWCAibv/Od+Ljaaetns3QKR8jeuFll8UUM80U3/jhD+PRvn2j77zzVm3EAObIU521YR7gnjs/JwUYaDLQ6jzh3MnnN8fTvO6uPZDXZlIH9Itz5ADppbbXV/SmfkoJx6x/9HXmMONo6S65dZ++5vz1Fd2kY7kBQ73OHjEiplt99fDU2f/977h/1AAid7nSV8555hlmEJ6I1W+8MWa79NJ4XZ6yTTeNHb7//Rh6881xwVFHRWPYsCoywc6QkQvPOituOuKIeNvGH0TqyCNjiFxhoxLViupts+22sf7hh8d9iy4aVdztH/+Ib1oQfvbZVX3pnDbijJVfP+SaWVA29SEnyB5Ha9pLXyFZmYxW/1jny6aol77KFExkCymh/57B5pmRMGPgGaKnPpPSpb62kZ3MI6HybNlcsmEaDuFkW9hPMpGRn5yaZ7PoRi5nAP9HMnynr4455piqP9g7z6ELVTR8yJCKTLEFmXCZvig3+0Uv6bD6kIEcBHifeiND2o2uZ5Quo/9IGV1WHyQ4MyJoaz5COZSB/c11eGxOToFqa/UgY/pO2at1v7fcEis//XQs+oc/xIePPx777btvZUcQnExfou0MPtmKfLe2Yaf1JR9j4GzGiT33DvKtzrk2MlNzObqTXSbnuZlJOdlB5JddzHxvItxAT5A37zHNnOTMe/LsYN9nImSf858inGYtMjPBVFNNNXo9qvZgH/WFttAm5EVwJAfIpqXpvSnhTMXD3gKfRcfZC9FHBFC5tY26fJEbx8YGhdRNJBB2Rh6pEYHD6gku5aX0efwIRUUa/G2dG0UiiKI3lIswWlNH6Ag3p8FAIVUMF8NCwY2sGCEG22e+J8zKgKhRzNdfeSWm/uijOP2ww2KWN9+MXQYNilX/9rfY4e2344Vbb42nrr46Bt99d8w/zzyVQlFQgu7ZDJRye5f3cGz+z0BBjopzZyDj5xpkh2FjLD2HQlIKpCunCJBYhgAZYlgZP8pGKRkLimTkneuZGGcKnsl2GT1to+04t8xblJtBlNf/bSqpRqaPPBIn77VXfPORR+LDYcPitdlmi0MuvDD279s3Bg0cGIM/+iiWHDSoCvNn0tXckeh+BgSpVB99Svm9W19RdG2vbTh7o9p0JsqSqSaQyyQiz1gD9NBD8dC118a+994bN6y0Urxx1VXx6SefVPdzMqZvOTrv5hy1t/6tjh+ab76487e/rYhpjxVWiEs+/riSKaNPxlt7qL/35Rm0jBVHkO3GSYpk+BFtVS7v0geTCrlBpxVZqx+8btCjrJnKpCPPbc4JBuQkzwXWDhyx99QjO4ikd9E9zsRz9HnuLKS3Fq1zxpmAmS3gADm90bvmevSIB7bYIqaZYop46NVXY8cnnqimjfStd80377xx9U9/Gv9deun49IEHYooPP4zFZp899vj2t6NhavK992LA88/HHD/9aZwjtcpuu8Xm/frFjG+9VcnOXO+/H9/s1y8G/PznceOoU2CsRSKbBlLaij68aHpq113j7WmmiXnvuit6n3123PjPf1ayQ96Vh45lepA8UQTpy7NNOWrtRMfVG1Fh1+i+TRu5IxJ8btBi2tKUYQ7YkAA6rW0QvZxaZ/fonPbT9p7DIbM72p4NyDQ7bIgyZLoS7YissKMGpKIrBsUGYhecfnqcs+WWcZ4ND+uvH4NWXz0e/9Wv4uuPPRbPnnhi9H/22eh5773xwXHHxdn77RdT33Zb9Bs0KL6z8MJx0a9/Ha9efnmcesIJ8YdjjokVlluu0i8RRqjWtvboUbVDLjEhK+xeHlPIHrOX9eP3EGJ6LUol6opcaANERt0tQcksAGyN/yO72p7vYFNzx+nQN9+M1//v/+Kj3/42+iBW118ft55zTnz1sstiwaOPjtXkFjQQ/PDDKghA9rWj+/klJIosZwog7Y1M5nVsSR69pnz/OOusWKjRiPmefDI+evbZipSJWrPnBsDaXEYF1yJt6lVff02m8jzt3FDDb/EDiFqmlundo0fccfHFMd+cc1brz93H3+TpMyNGJX0HMsM2IPWZkUEfkEdrFHP2x8CMPUZy3Z99QpaUW/+xNfpSHfi4T159NV465hjrfKKzoXNu3/iyw5FRd94Zl/TpE3ffdVc1Ks61NqZmLPA3NSpXE8OfW6MJJoGxnoZCMbyEiKCLQjEchExUhaKIxOUu0xxZeo/p0rfefDN26tMnGo89Fk9edVW8/+ab8fc//rGKRHFPO3vhqO3haJnxt0Xb//vHP2Lnnj3jxn794rm+fWPmWWeNHbbZJi6dcsp4cfjwSlEoqhEbopN5yChAHp+lXhTHyEhkgIJP2adPPHL//XH5hRfGVL17x4AZZojhzz4brz3zTGwwxRQx36efxnn33RdrzTxzvPrOO/Hs4MFx7113xQcDB8Zz004bj880U8y5wgqVEnJQIko5TWb6CWlGUIwmc3eqz7QTQ2Vk3XeyyeLJXXaJi848M0zELN+vX5y06qoxv3QK664bQ//+97hpvvmiv7NhH3ggLrv44sqwWmeTqR04C3UHziXTJnjnDNNNF6cecEDMJHP8HHPEEtNME399/fUYVlN8hlGbbLvhhnHxccfFDHfdFatedln8+ZVXgmt62mkOZOHWW+P+b3wjRmy/fWVkEYlc32SKJqefGKYBl18eczn2SR4u61UcSzVqbQlSxvnlhoo8QoeRRljzUGxthAhaU6J9GbHMIzgpQd5anScKmUzVb7oxpvMlE5xU87m5CeTWqNzaLM7TtciJ5yOY2kzbaX/l4rzJgXf7P/LtN1JCJsgHvU89UVZOiu7s9dvfxtUXXBCDb7oppv3rX2OvK6+MxiqrxD+OOSY2v+KK+M2dd4bY1Cc9e8Zq3/9+LMaJODXj5JNjsauvjrsPPjj+8/TTsdsHH8TlZ5wRK51xRsxuPamUG9NPH5Mdf3yssO66MeTGGyu9cEKJKFaeoEFn2Yzhc88dL55+esx40EHxVRG63XePqXv1iu/dfns89qtfxfD334/NevWKfw4dGouPHBlXjRgRQ2eaKRZdffWYywkKTzxRTcly9CJmIk5+gCzZbUi2tC1d8oNoaRvynOkoOF6yifiQVfYNGaN72pudQ7T1yYxPPBHnHXJIbLDOOnHF5JNXU8XszVFHHVW9ly1ggxAB8k//N1l33eh9xRXR4/TTY9prr42VIuJcpyY89FCcLy2JXd/PPhsOKvxFROxruv3ll0NK5uGPPhomKhe44YaQOvfXf/97kMqv3HhjLD3ZZPHslFPG/11zTSzUt2+sNvfc8ZrdrP/5TwwbPDhWdBLO3HNXtplcGfAhCOpEl+l1JiQWyUS22fjcLECPtQXbSq7cpw30KZubJ2P835lnxlA7ga+6Kkb+/vcxcsSIQJmWlBx5jTXCQoav33573C5VENLaq1csgfQMHVq1t/ZHdpBDfaANM3KorxLIKhtGhrTtuw89FPecdVb8YsiQqh2vfOaZmGKZZeKZN96o7BY7TdZylshUrYg42+p7umMGxIyL+lTnzz70UKxoHefVV4ctUqfsumuMtCxp6NBwaOVxUnWtt17s8/bb8dyjj1ZLGxC/5ZdffrR+0ztETZvR5SraPnRofHPBBWPDZ5+NpxZbLJ58660qaIKc5pGaBmeid/6v/ggf+X2cnb///hhg+dKzz1a6uacp2I02is6EQuomBv70p/jGU0+FkznvfeqpOGjKKcMSdE7A6JcjJkQUyUhXiNtIC4wmCJFwPsdsPp9jJWCiXJxLLuI0oqMojLTRmXu322abGHbPPTH82mvjzX/+szLylnaeGRF/i4gjevSIaaefPhaR6V9kY/bZo8+rr8a0F10UQ999N54dOjQmGzEiJrdoVxTquedi+ttuqwjHcwMHxvMDBsTM881Xvb+et4oiZdRtlZVXjheMnj74IPqfeWY8+uMfx+Tvv18ZRxv2nSw4/3PPxZB7760M5bCf/Sys2lJWrlYeeil2Kc1OEXGkKJecRtaVzT57FUmidBkhYeSMzikuZ8EgGZEZ8YvyIWPvPfBAXLr//jH8jTeqcrw+//xx3+GHx4hHHom11l67imgalZpmuvKVV+InTz4Zr1x9dWxx0kmVIbZ41ihfmhLOQp+JfDBGHAdysewzz8TVd90VB1mnZFFvRHWu6n8XXjhmHzgwes82W3zFOpfXXou+++4br1oLGVHJhkB+b4dl24XZu3d8eMYZce5ll8W3Xnopzn377crYcwYIuykeRIPj/N9f/xof3XhjSIe89h57xDXPPz/aQSiX/2dOt3rWdM5c32VeKMg0D1LmaFskpi1C9UWBM6unKGk1BSvCoZ4TIsWAd9G7PHQeyBh91I5IOYKWJ15wItanivCJCuT6Q21rqtJz6mtvcukCmUVYVtpyyzjnySfj7tdei+V32SV6rLZarH7eeZWOTN2jR1xh+nHPPWOxX/3q/y+ko46+/vXYtl+/uP6aa+LWTz6JWe+7Lx686aa49KOPYpk55ogdzzwzzpD7blQEFqm3fglRz3NrOWVkgC4jDEvffnvMb+PQY4/FJk6++eCDsE9T6WcfOrTabOFgKtO177zxRtxz/vkhU+RjPXvGR5dcEk/NMEPMussuVRSy3p5ILJvHqbJdHG2eE02+DGSVR1ROe2nfPLeXjTFoymg/wj3dyy/HaV/7Wjw+YkTMcNNNYbLt7V69YrkFFoi3/v73GPGd78Qlt95aEU0EaZtNN43J7Ao/5BDzfFW57Mf8z+KLxwxf/Woc98QT8eb778eIkSPjW8svH/eYPnf01BxzxPtDhsQiU04Z/7zvvpjfTMj771flms3aWrkkrfcdOTJm/eijMDR/VZT+jTcq+3XxM8/EmgZoa60VPddeO6ZcdNGKlJIZdiPzArLx7FeunxR9o5+Z8oOsGOhnEnVtkjvTF15ggbj53nvj4f32i7n//e84b/Dgyt47abwx88zx8jTTxFQrrxyvbLxxjNQGf/tbfPDjH8fb//lPrPzOO/HcpZeGhR7nbbll/MGykEcf/X+kedRSGBFV76+TOt+R7QduvjkmO//8uPGGG6r2fKZ379ho5pljh5deivMfeCC+tv328X833VTVQd+yz6JmAhEibCJqZAMh987zzjkn+t15Z3z/+efjJgmW6cuovnoAgZYHD/nu2TPOM8C4+OKQFrjPTTfFYvPME3f17Bkjnn02Flp//WrKf6G554715porbr/66rjw1lvjpH794r9SPEmT5Cx1x3lONlms89BDcebUU8ejk00Wy41KOoxg0s9F55svPrr22hgg6j5oULUGlVUgRYtrk6a8oZ0B3ZbUcVjNx7VAZiCvX9cWGKx6xvzR1/74xxKIxcjTT4/JP/kkfn/ssRV5me4rX4kjn3qqInQMFQNvlGKExEEjeUYGmduJI85EnBw6BWCEc1rXGgjTa4zDk3LSDR4cvY47Lu57552KBN0zzTQx99ZbxzRLLBHPXXRRrDbHHHHKK6/EBl//ekx58MGVQWFMq6OOll662lm173HHxd/tPhs8ON64/PJYYpVVLGKJ+e66K2558cV4+MUX44933RXHXnFF7LnppnH1KafE2rvuGlO/+mrcc/LJ0f+ZZ2Kxl16Kmz74II6OiAsiYh/EbZRDQNhM6I3s2TPe7tMntp9uujjLzq7+/WPxESPiYlMNH30Uc045ZSw1cmTc5dzRTz6J6YcMielefTWeHT48+iy/fEXAkFn9xeiIoDCMRmemQUR48tiYtZdcMrY78cR45e234/mZZoppvve9ePD11+OWhx8effSXiKgRZJX64Jln4txXXon+H34Yr511Viz14x9XkVA7+DINAAdjainfs6UkmBIOR8T1c84Z20w2WZz44ouxwIgRscCwYXHZM8/E+qMW/duHR1KmmGGGeHT22WOxVVeNPvfcE+/27h1PjcoJ9tpHH8Wl550X79x/f6xx9NHxav/+lXwhdUaS1ZRXz57R99JLK/L47EILxTSzzhobjDptxA8Hifxau6Oeyuw+I1d9DwxrRuNyYwSnggjkaQIp1+ls8tr2dn/VryVj+b7xvVb7J3FSp1zTSHeadbV+bR70ncilDEkY63qfGx/IQmbYFznxDrJl81Gm0qF7HJ91X8qhDNpUm4sw5QkDCZE6696Q5sxhufTGG8ffzj8/Znr11Zj7vPNiYI8ecdtqq8X/hg6N/j17xgyzz/6ZuqmLNlK/5158MVbYZpu4d7rp4nGpbSQTX221mGqWWSobYRpPlMH1CA4yhUjld4ix6bDMn/juL34RNx52WOx5xBFxxSOPxIarrx53PP543DfddDHDbbfFiAEDqsjWdO++G73tYH322RggpdD//hd9//e/WPZnP4vYfPOIjTd2Tl0MGTmyepfBlalF5ID8ZsRJ9JADRlZsjMpoMpm0YcMgi+7RM/f865RT4mdvvFE51/kXWCCuHDYsvv7yyzHdsGGx0KOPxhOPPhpv/PKXscCcc8bU110Xve6/PxazyWzQoNjMtP0cc8Rku+0W8+ywQxx/3HHVOsDTttsulttgg/+X8mj66eOJ886LhVdcMc6+4YaK7A5cccWYsX//WGnDDf/f+rK+fePOUUmOr95yyxj04IMx5ccfx+9mnjm2+/nP47HJJove/frFuy+/HIvMMks88uSTMdN118WCffvGC6N2wOdpEwZRZJSdQpY83yAyUzTlMh1RLb5h3332iR/vv3+MuOeeOO1Pf4p7H3kkthg2rAogfDUiHrSBbdVV46oPP4xPp5iimvY1JU4GDU7OveKKWGD33ePB2WePBYcMid7XXBP/fvLJeOHCC8MqxUv/7/9ieL9+Mbek3L16VZvJrKXMda2V3n/0USz2+ONx4e9+Z4FpNfOz7tJLx8PLLBPfPOaY6Ols7//9L/b75z/jEQT2wQer/HGIqbqa7mXH6C8Sy45M9u67VUT5lx98UJESFPKafv2iZ58+seLyy8eFjmdbbbX4dNllo//AgbFMnz7xmA12l14aA4cMicmcpCFgcMwxsd1pp8WyM80Ukz/4YBw9cmT8JyKsDL5JnkfnSc8xRyyw4IJxyR13xMwffRQn2GRiJ7Q1mtddFy/37x+HPfBA9P/ooxj06KPVUYrSPxn6Dpx++pjuq1+NNZdbLv7++uux1MorM5ATh0eM4b420ehmeO+99wSL2vzZcMMNP3P9VFNN1ea1q6+++meu7d+/f5vXzh3RuDCisU9E46mllmrM3Ldvm9fOO++8jT333LOx2267NdZcc83GgAED2rx29tlmaxy2wQaNg6eZpvHjiMay7dRNXf7yl780vvWtbzWuu+66qvxtXdurV6/G1772tcbHH39c1W3DtdZqt90uj2gcFdE4I6KxTDvX+fnZz37WWG+99aqy7Lzzzu1ee9BBBzW22267xs+33rqx0hie++ijjzZOOumkxlZbbdVYYIEF2r3WNUcffXTjqquuauy6667tXvuT/far2mDzzTdvDBw4sN1rL9hnn8avf/3rqn0XX3zxdq/9xje+0TjqqKMae+21V2OxxRZr99rj+/RpbL3aao199tlnjM/Vb0sttVRV3u985zvtXrvttts2Xnnllap+N9xwQ7vXqlfizjvvbPda9Uo8/PDD7V77gx/8YPS1zz77bLvXqn/i9ddfb/daspX48MMPx9gXdYzJRlxzzTWNwYMHV9fSlbauXXDBBRvnnHNOx2xEz56N99ZdtzHsnnsav/jFLxp9+vRp81pyeP311ze+/e1vN5544onGIoss0q7en3jiiY3bbrutceWVVzYWWmihNq/t27dv48wzz2zst99+jZtvvrldG9GzZ8/GTw45pLHe4os3fjD//I05x6CfD5x1VuPKiy9u/OhHP2qss8467V671lprNQ4//PDGH/7whzHqxs7f+lbjyF12aRy92mqNtduxq34GPfFE1Q8vvfRSY8UVV2z32lVWWaVxwAEHNA4++ODGqquu2u61Z5xxRmPkyJGVLk8//fTtXrvJJps0LrnkksZPf/rTxve///12r2Wrf/z97zfuP+aYxk7zzNPutSvPP39jxeWXbzzzzDNjtBHqdtZZZ1Xl/foqq7R77W7LLtto3H9/ozFyZOOGP/95zDZi6NDGzxdeuPGPMcjD1ltv3Tj8sMMaa847b2OxMVy77LLLVjZNm5122mntXrt7ROMRNt5PO7rpZ4E552xssMgijf9bYYXGSdNOO8Zrd9ppp8ov77777l8oj8BbOoqyUeILQg950tZdN6ayvuGBB2JEi913iffffjsWnGuu0UdlDWmPrTvo/corY+iHH8bscjG1swZKFMTI0CjYyKA50WXztaIIo6e+aqOOVrjEjt9VVon5dt013hh1ZExbqGcizymutiCKKGL0wXzzxZBaAtpWsDZCBMU09ZjScIimiBDZ0ZQHj7eFly+4IBojR1Y7ejNfUluYYqONqhG/kXYe9dVeGUzFiJKMqR1m/+STWP6mmyIefDC22nLL9q+dffYqimMhcf1Is7ZQT+xb0DHUN0+0ivgn8uSUjHq2hz6OONpjj7hw0KBqnV575+bSHxEYESwyXz8esBmm18mtUb+1R+5tC5mwllwqw5giBdPOPHPMuMQSMcO3vx19WuQIrOOVHXaIFzffPEacdlr0HbVAvi1IeWKjkpmKaHGsVh077rprvNu3bzxmWnkMaSb+dOKJVaTT1NqYdnbrY/ojul1PXt0K9D0Tdrc6BqyO6RqN0ScmZAqhNvH++/H2qafG8COPjIVGHZvXFqaeZ56YZ775Ru9cbg82WdiQZuPKTGPot/vvuScaNpTYsDRqmVBbsK7t/U8/jRV+97t4uDZl2wqz9e0b//3zn2MeuRTbvTJGb+KwVEAksz1cPdNM8cNlloldTzstDqrlBGyFyaeeOnrNP3/cs/LKMfnxx7d7bR8R2jvvrOx6RzdlTQr0GDUq7TbIbc0UqlVOqwkVNgVbp6XXMN1hHYupGuH49QYNistOOCGmf+utajrSOQhokBSnKINJIsHuN3v1ivuGDavWjAgNW6B7kYSVBMx+jFFrJ/pPM01c079/LLn22rHQYotV0zrW/HintVjC+jYMIGmmPyhHpkixaQN59DeyZ02czQCmASx6doC0TRsIIFJjXYf1ORYkW9M3c9++8Y+//z2233nn2Pu7362E3tFmppO9F4lUFtvYra1A5OxoMi3g+aan/BbWN12FTCqLtjNVZA0bkqZfljR9c/LJcY4kw1NMEXMcemg88NJLFYHJHHiZmHXE8OHx6qWXxruvvhrzTD55fO3oo2PAMstU0yk2nVjHw2DbLWvhts0WCX1mWvtX++0Xp2y8cXw0cmT85sQTo9+ee1bEkQxVO7OOPTZuueCCeBVBm2mm+P5vflNNF5lCslZNHTJVjSk7BtxUnXxRNiRwrhYKW2Pke9PuyqQuFgzn0TSHH3xwfLj33nHnuefG7yJitxVWiFnvuiseaTRi4D77xN9efLGaslIX90uE6r3KYRrRVLVF1dpYmRhG/W6NYJI/8L1NMPq41SkSnW36lekiK+pTP1y9I9Ovlj/4ztR7K73PzRKm/kwXmYrVZ2wHfWHYkR/6ZRrt8MMPr9rUtLfPTC362/8RKtNM1umwEabRwNSW8pNXupcHwltiUZ0Ese661TP8GHi41kYryE1I5MT96mY5BnJhukw5Mp+b9Ep0nm5krkz2T5nc6xmeRze1k/x49N2Usk0MiJ7pM/rut/qog7Wqyq2/EKQ869Ra0352Iw4aFKf+9rfRa/DgmP311+PRQYNiLnk5I8I+Ub283ZRTxoHf+lY8NNdccd9jj1XT2wgXnTHoWXrxxeOaww6Lvk8/Xa09/dqqq8ZNo3Jjqpv0J5mv0nIIG0H0o7YwWCHvyJl1ytqkSso8ZMjoPKF+8ugrMp/5Ng2yTO3TV0TNZ+5hw7SDNiUHCVP5lnBAbkDyPf1FCGeyW/u00+KRl16qNorN/+1vx2MvvFC1O3Kuv+l7HleFdK0555zx1jnnxKfDh8eAaaaJA3bdNS7q1Stue+ut6D3VVFVb0+GUW7tj2W322kYEckR2Qf2s4zPAUH+2iB2nd6ZF2Ty+wWfayv3333ZbzNFoxNsvvRQ//vDDWFtqEZu5ttgi/j5wYFx2ww1Vvdlygws6VK03nG22yob98thjY51XXokXr7subrQJadVV4+OlloqFF1kkduzbN363xx7x5CefxIeOqdtyy3h/scVima98pUoZw7eqG3vLT/tMfyg7faB7wLbpc/Ugp7169ark3jpFAwJ5SzPrgvZynX62e93n9II/sAyKzOhn0Fb6QQ48dULs2QR6w18AWfDuVphQPCLXQZO9juTg7NZr6nRmR/LMjE0umvq1NjQQeDuFGD+CQRD3PvvsanHl1w85JCZ766148a9/jU2HDYsTLrwwFu3ZM156442Y9r334t2hQ2OnYcPinVHGb4EePeJJCU9nnjk+mXLKWGXgwLge0dppp7hznnli8HXXxXobbFCRCcaV02GgKAGjR5CRCEaGs+IQOBDGmyGQDsC9Ugu4zyJdzsGmBIJOyH3uvtwJmJnkD5h99qqOlA2slbBWhwLkYc15LyXxmwJaM8jwIHNIEmWxQ44xZEwZTwYxTwTY1O6od9+NryDFL7wQB557bty51FKx5iabVE5PezPSjOrqvXrFpq++WhHfIautFt8+7LCqbAw7w8bQIyb+tl4l+067cRAM/aBPPomlNt88/nvhhXHzj34Um2y7bbW7UV2v/81v4vkLLqjWxi26wALx9IwzVsrJoSm3pNOUkFFikCgnh4pMWiTMkItYWrOlXzhHhEo5lItDR0r03fsffxy3bb11vDR0aLx7ySXxpCPZ7AxdYomYdsstY8C551bPR+iMaD3XxhskgvNDGNWZsdO+mRpCH1SRkJohYjz0aXvRp7y2o7qhXSbGtWRCP3UkP51r6891j7Zt613KQY61p2gxp0Ce9RtjTc4yGkJe/Og/+p7l0b76FXEi/9oWKczs9pynPIiIVJ5Ry7k4I9ipCwiVgWCSr0xgTtbJhg0YnBOHLD9bHlVGP5FVgzvvoIPAaSmnwQ/yIEpNPpBLdgB5cTShzzk8a+4MFOzUTOLNjtjooczeL8qsTTK3JXlSN3L+wWSTxWRyh62ySmz4rW/F1d/9bsy75JIx/Z13xhQzzxxDTz89Vnv//fj7qafGqpNPHosvtVRc9Kc/xSPvvVeVZYE55oipf/nL+NrTT8dazuNcZJF4errpYhrPtW6td+/Ru8m1rTZQZj/WqPmOzCN+2k5fqL865m7lTBjMBtFFA1/kNjc0kJHcsGaBv3dqM31Tlx3/9z79mSlb6LDrvNN7Fv3Zz2LRH/0oBr32Wkx5ySWx5Pbbx8jJJqva3rPVw0AbWf2QvT3rrGr36ptTTRVLbLRR/HaaaSo5OuqnP60GvPqbXyEb4DvrZtl4Zc9NKuqpbAZ7YIBtACmqRo/JKZlmG9TTgDCPS1t+/fVjyZlmilMefDCGL798vCGn3SefxHyzzx4DHnusIs5IHX/B7hgQknGk/7nnn4/3t946NltggZj9pJPinzffXO2i/vrrr1frhWnP+nPOGSdOP32s/5OfVHKt/dVNH2QOvkxlZV0rYmeTGvnQn8qeBEobP/HEE6NzrPKDBgf8HXl3jb5Dxjxbv9OPPDc6dyKTGQMVvkr9tIP3Vmunt9yyeqY+3X///TucmH1ceURbu/TbQ5l+nUggIEiSqEyOwOtBUUlBe8wyS8zsmKYdd4w3BwyI11dbLb528slx+xprxNrXXx99brkleu+3X0x74IHx/pFHxvIHHBBXb7NNPL///vHRuefGSscfHzMccEAMHT58dOoFikqZKTUHQHhtrPA9peGYGHejE0bAFIfRPULkGgJlVMIpcD6Zc40xI9DIVzoHZIgBEZUzSqbMHATFNB3EUWVUwsiTUjFcDL6IHkNmBOldFNduK/ciVsgccsRJ+EEMKduaX/96vPDtb8fIPn3ik0cfjW2efTYuufji0dv6OdU5e/SIOR9+uIp2rrHXXjG0b99KMSkIkoWYKV+mCjGqZBwYE6NW9eawRAz6bbNN7DBwYJxud9yPflTVhTHb7k9/qiKnj0oYu+iiFQFmRBhkfe7ZDAZjpP2QZYZSmzGoiHSeVsChKI+25zw5BIYH4WSMtOkTpqGXWCIGrrBCrNanT0zTr19cPeusVSSOnHHuyCYDpc3VgxwwhIwcMHjeiXB7JnmspyxJQzgmQtcV0FYCYtAGmWk/j53i5PVpRjB9nyckANkzSMmkuHQrT4wBzkSfI/R0AVnQb9qcbOcgyXM5EvLgB/kQNfEZ8qQPETe6yKHTP32qr+kR3cwjoTIxs0hc7tZlI5SFnNEVmxPcS98yqSogB6KPCJLpPDohVRH5VmcyzZlrR+XPZLeeJR+cfJnajU6LQGmLHpNNFg+//HIMXHfd+PTXv45Hzj8/NjjssBg0xRQx5fDh8do998Q7v/lN9L700thu8sljg1/9Ku68++7o36dPTHnuuTH/175WyavoiPqpt+gJh+z/ppZ9n6d7aHt2jU4oc+ZI06d5ckIeSZjEJDcEIGPuM8ui7+2k9R191g/6sDmiTJfd453aHsHThkgUYv7U4MHR+6CDog+788or8clFF0XPySar7hFFrY5zXHbZGHjVVVXqFWdLzDzPPLH2XnvFQksvXdUxT6ZB0pSNzUogVbnLVL94Xv2Iu0Sex4sM5oxC9qE2QIDZ+5RFcj/DTDPF3x94IOZcaaVqkIpQkgUk1CyQ9s6EwuwQOfL/K6+6Kj7effd4Yf31qx3+999wQ9xw3nnV7Maca68d2z36aMSonHv6hR2X55GM5glHbLTNhPSSLcvZHOUiZ8or8ICsjxgxohqAkREDazY1j6bkn9hT5I//IS+eS6f5Rn6QfppdkhjetaKF+jJzD/KbZE97TaqTdsaEQuomEhgXBt6Iwu9MRcKY1EGgGFMClAdoM9bzLL543GiX2FxzxVLLLlspPeEy/ZLOwbM5EgSOgGW+Ls/wf4LMaCFXdpIpB2HMA+QZKeTTaByRcK0yIIYEOx0T5RItQ7wou/8z2Jn2Ig/pplycjTKZYnWdHZiew9Ewvt7LAJgCYszUO9eTMUIciB91VRfPpeyMLpLlnQOXXDJ6rb9+3NKzZ6xx++3R65FHqnsYmdvPPz+Wf/zxqFzTdtvFUzPNVO1aFc1gAPO0AMZCXzCOniuNh+/8IFQMJycw5NNPY/rDD6+mwC895ZQqXc37m2wS/3CUTu/esfpGG8WSSy1VGXTty2kgVQyI0Z06csR+OEJrhUz1ahMO2X2chOhJNZofNdWTBFXfcD76wT27HnpoPHPccbHI8cfHsB49qr7Xh4wskowkuI6R9IzMgQgMIblg9PSxutbXCukX5e0OIKutEhADfUznbu0MuTQw4gTzDFHI46SAfHK4eUJBRi0yQTLdQcbIr772PWdKRw10OBnyYApP4l/fG1BxvgY63oPcGfBwfGQUaUA29LH7DUQygiqCljsMETvlpyMJDlg0kH757T30vN4m6qdeeU4rfRQlsYsWofX/jHDRFc9CkDIVCadK7tlC9stgTp3YPPV57rXX4uEFFohp7dDeYovYdb31/t8SFIfM77dfTHbXXbHgNNPEk/vtF7dNPXVVN1PCfrMjBpjekUcWcrqiavSbXrFB2kK9zTjkMXD6Qr408m7gJOIiGgnKR0+Ul8OnU67N5PE5G6DN9UHC5/SeXXNPnquq7TKBr4Hl2ddfHzfMP3844dX09HS3314RMLK16JxzRmOPPaJx9dXxnJ2YZnnmnz+22nbbSrZE4pVBucko4mJwlssg2GI2je1U58ymUEcm5kVUDQLogbZChhB8JE29tJNBhjqwL9rUc/keJA5xJ6NslHexdzndqRwGA9pbP7m+95prxl4HHlhlQLh+yinjqmWXja/+/OfVKTfspqUNSCBZUk/9oFwG3HQRAdP3ggeWq+gfMqwObDgdYfMWH7XDmp01CGEXkXz9ANqOvSWDnkOnEDjllKNPe7LhIpb0QdCDvyTHypnJ7tuyHZ0BhdRNJDB4KQSEldAQrJy6TBAueXEYPgJIsY488sjKYIuYUV7XEHQOl1NmuBh/nyFNnA7jTREQJMJNMa2VYtwZBEpLOfwY+SiLUb1REaNPKfJ4Fu+kkAyE6R/vyegNJWIsKLp3Z4JQ/3evcpjuUGfTqYgcRckQNyNjnVwmsFT2JHxIIAPBQSmbuohUII2MoqgTBfXOIX37xl3rrFON/qZ4+OFYWRTw+uvjg5tuitVNua6xRiz1k59UjlVdGR3rYDKDunerA4PKeCOxHJH+4igpsnJR7Kf79Ytlll22Wr94zv77x+UffRTn9+8fa2y2WTRGHbKOiBnd59mO7meI1Fu/co6mh5zDaJ2WKWYOnTMSvdMvyqLtGXj9xngwUAyYv11Hpl6S7+nZZ6u28548K9R7GBv9q804kzx7kTHzXI7Ptdqa46mH+t0/qZMNf1HgmNtaE0iPchE93cuj/JrXtHDs5APoBEJutA9kju5wUgl9RX/IC6JANkyJIdaItn5Gdsg/G0Gv3E8/OUZkhG5xnAZhHA5b4J0Z5QPP8H96D3TbmkqOmF1AdnK9qvfTWe1B3uokgDyos0i8aBMy6uguREi0xoCCvConskGPtIN6G8Cql78RKk6b/OVJEWYQ2AzReDrRmHXWGPnLX8Yra6wRC2y77f9blD/vvPHB4YfHNgcfXJ1OQD+0nXLSZ++l35kIF5AA5da+3kvHLHvJY8aQdPXNKUvlEaVhj7S/Z7K9CLFlC/XlCfqrOq1h1BrCzNUJeYqOuiMj2pVuSRNFx71Pf4guzb/ccrHMWmtV+TJfu/HGWODll+MHW2wRkx19dFx2xx3xRK9eseL++8fgUeeXmg5nX/SRNrBmmZ3y3Fy2okz6QNtqAzKb50nXp/DIK7k1KNeHBn5kjc3ShtotT67xnf5H3jyTHPBN+tT7+ReyiUiROW1lUK8s3q2s2pHtU64Ztt8+1vvVr6LXVlvFqptuWhFL7a3tfc/f5FnGyGPmP9VuuSTIOwQo9DvfYMDLt2p7BO2AAw6ofrOT5FO76wd9rn3UUfRNoIOt1n8GIsirARmdIpuInvYhNwiq69lLA3O2W7mTIHc2FFI3kWC0lg7VyI+BI7BpZBJIBjJAsJEngsJQu44wM2KME1LlGYwHwkNI5VUj6EaA/kYCGXiC6zlGz6YaKSCCQig5Fu8T6fNOjoIDMGUocS/BZjAphnJTDqNU71U+wp3OQj1M+zGirmfokALvMe3A4DMuSJRyMiYUEDHNo4Q4TcpFkYzkGREOhEIzHpQn4TtTmkgihX5i8snj7f33r/K+zSikL/EoZ7vKKtH3gAPixZdeqsgSo6XOlNQ0KIVVLu9AqEUbKDXjlc5NWYzo3MdZLXXwwdXmjLURpDnnjJk33jim79+/aj8GyTNyehpZRJpENBgU7c+4kgdtrb3S6OVaHO2cR5EhY5mIlPNlSJSVkdImeUQbo5qRX/Vh7BALMsW5MKa5w5kBzX7T5uqZ53gmlEt9ugOSALVCLrwHskD3/N28S7j5YHgEPA9k1+4iG3VSVwfnlPkO6S7n5P8IP/kkTxyO6UUDHc8RmUDuc0qR00WMlCMJKt2nJ7meL6G/80xhUTvOuX5+qjqTV4vtwbsRSc7as0Q+tAVny1HTX+VwD0Kg3p5j4OFZyqsNOGgkOc/nRCqSOCk3W6feBmzWcs0277zxkTx3gwfHpw8/HL3mnnv02dK5mBzR0R/slYGSsrBPiAobSVfYLs90L93IExnYMm3Khtj4JVpKN0RH1S+PvUJKm6HtPSNnV9iWjH5qUzov2p6DMbabriLh6kyODCzZsFnXXDMeWnzx6vSPFU48MWbbZpu4/fXX46Npp40Bhx4ad8tvucACFWGCPEeXnWZf9YO+sYaXfXLKTZ4C4fnqxrax9znQADKk3X2m3dQzjx7UF2SCTdJP5MdvdpO90U5ss3ewqUgvwsjm8D1kxuCBHBikKGcmySczyjyNPl9zzarfyL1ykCHr19SH/CiXJQOew/6aaSHTmaWAHPsRACEX2ihnV2acccbKz+hjz2XjyAr5pDOim3TPtfrD+lXyl0sJPNczMnJrIIQMuka/a+s8jxw57IwopG4iwciGw0WSOEvKQsEyqzZBoRwMEWdBYRlmgkXxKAEBQw4ZhpwGpSSMDsPvPuSG4FECBIDyS+hpFG7UYcE844s05boAzgTRqO+4oTTIIkPJWXgmYkDBjN7UgSGjGJSYwopGMKA51esaSuQHUXGddyaRzFMz1MdnfucGDm2VEUXKpj5Ikraq71qkUIySexmd/5t33pjfeYkjRsRCn34a0/TtG3fvsEMMGzmyWj+nbMLqRugMlzKLoCGkDD1iZEMBo0D5jcxyHQrj6H2M1f8efDDe2W67uH7zzePxddaJzW1ceOmlqt8YljzNQJsxVLnmSp8xVJ4hwgHIHSPP8DEgnI62Yii8Pw8xz+lTxk7/M2LIuTbnQExLe5b35KjW39qZ8c+pOCSPTOUZmZ6lL5ujcohtR3dYdRW02vyPhNSnocmb/mreEZw7CROZogep8X/tnGvumkE+ck2jNkfGrAnK84XZBn3MYZEJBMVaHlNG1m/SbfKAaCAPnGxO43KWnlufbq2vFRRdqZ85SufIDj3nvOkyp5ZHPBkYqgeH7TtkgY5zcPTTOiP67BplZFuQLI7S33mcH1kUaWS/tA1Cmjuvc/ciOdaGTnd45bXXqrZPZ26gZWmH+9WBjVVvdkzdEVa6TudEyJBKEdZ01CIy9IN+Ij360/StSFhuoGC3zLLkgLyuG+ogiu/5yqCNDY6RqVzPqn0R8ly/hdSyVYioU2nob862rLD77vHRXHPFH4cPj/Pefz8WmWeemOp734sH3nqrsrv6xXNAW+kz9pQea7fcpZ/TrGSOfWMXkEr183kONEBZ1UVZ9Yc+1vfsDKJF1nyvL9hsPsFgEWlTlpQzMpZr9sis/vN/ZdEW+lG0Ul3Jse/phWvYXe2k39hPgwf2z3f8ovfwY3SL/CNgZMl1Cc8lb/qSzaU/eUzg6quvPvoMWTY8Nyzygd5BLrQVvctzoMlWDpCRSEtnBCPItnIInLAB2o9d5TNyiUZnQyF1EwmMFuUmHDnl5TdlojhGdqZBCCAFImy5a4dhJqB5jBgiyFEzor4jhJTGoliKZa2OUROFIOz1PFTelceLeY5yGVm3yrdGyCktA5jhaAqfu2kzipMG3LWIKCVWTorkWmVQ11yzIcKkjJlqgKFhfHzPcLmWYeUwvJexYQByq7xdhXWk8mrLyy6/PAZ//esx8yyzxLszzxzz77xzXHL11VWZPNMPJWYclJtx4QzVhxHPdCt53qIyckSg/7Sf0T1D+uF008U1M84YK6+1VqXoOR1en95A8HLKl/NjwFzj2QxwTi8rjz7RN6D/Ec884Dp39iGm2oz86G/yoZ8ZVXXgXBlAo0/vRjTrU0baL9fE1I/RYsTr6+nIYC6O7i7I46iaQa7r09LaUxu2SvNCXurP0N50nrNqjziST/2rL8kYnctILtBR39GRTLPBQYk0GPwoE6eVKTk4NXKFmHG6yAwnVgcCItJEXuo52jh2soeEeJb1pZy4aDs9JyfqyD453Jw8GxRpDySNs0Mk/O0Z5JLzMzChS3THQMrAybsz/QwZzOUJPke+2KgkCHTFuzlzJIWtNCDN9B95hBz99G4kQpnzWDL6jviBNqF/CCK9zwPa88QFTt/Ahx1QbufVWoSP2ACHzx7k5gk2VhnpDfvEznHyOdDTj8qhnRFIZNDzM91RtSRn6qljhYMOimGLLhrbfu978eJWW8Vbn3xS1S3Ty3g+4iLyRF7Ijfe7RqBAuciI95lF0Te5U1M9EVSyRIbYKZ+zd+5no7SlaVWRS7LEfiPOyogsAV3wDnaUzOmT/I69YoPYZG0MbLe+Zbf0F3uozPrCAIHsKIu+YAdzV6vBgEixdtLOZAjZAs/PXfsJbeSalJMcQC2zzDJV5NUz6Zb3ZySa3VZn7ZK+QdmUNQcP6mtQzE8JLNBpbZ0zG2wB+dLXnRGF1E1EEBohWsbAKIvi5RmuDByBy+ONcpME406Rc8ci0mFkwKC7l3BW67xGpcdgQDzLM4z+CDrCWF/ISWApda4h48yak5W6PhfXU05CbGQLDIn7khTk2jNKZD2MKVhhfMYnF+MDI+MZFiIzvhTKdZSHE6LQyqHeog2ilgwXp6DOiAtnw1lpk4R2TGfimf1mnjkW+8EP4sYFF4y+s81WKS8jm1EU0QykEslilLxfuL86Zum556p2ZbQobZJV71OPXIfIEHAe1q8oG4PIsWqHOhFiYHIjis8ZIw5L24ouOJZIRIHz1VYMju9zDZQReUK5GDKGUBtVebuWXroid7nWkdz4TQ4YIW1eLw/Z46Cbk2UqS52k5Fqb7gQy0rwDNglYvQ21i2tbRTG1Ya6rAxEHSxFy0JQ775pBp+gY0sAhkT1ynmWgH+QfDJjInLJmdJWukRefZ0RaH5NpMsMWkON0dHTK9Bl5Y3fq9aPv9NJ9CA55EunPdYeImjJmLjuzBKLPPrNEQF05v+q4wZVXruRTmck5mUR6rKkDU3F0ThkQqpytQCyUX3n9eBaHjRR5BtKozJ7tb+WiC2yIdlJuxMe7TBeyV3SO3TF4thY3d36LsiB0dF670Tmkk36xEWwLm6Yt2S+k0udsI9uhXdhf7+PYEQP9QNfqm2wyvZB3erf2ZUPIizZ23VTTTRcfrLxyXLLSStGjV6/RSyNSttgIG1m0Qy67UGfkJgeWZmbM6LjP4N5n6scW5Ppn9so7czMau0HeyKsIbC4JUka2ToQR8VUvPocN0k/aymc5Pa3urlM/faJdlCPXYLN/BivK4J0IE9Kl7VynPLnmM48/zMTQ+ilT/uhH9tZ6v9QR7cjWW2+ZhB8yRZT663f6673sKbkkq5kqJQc0bLb+T3ugXtrfxgz9pDyi49qZ7NvApt07Iwqpm4ggeJQ8F0IjTj5jkI14c80YoSFkhA9JqK/DyY0ORlCMHQUwcjDqTKODqOQOWMpF6RlPBgAoGKPFGBLaPH+xDs5F+ZSB8fI948uQ+D/Dmc7L3xQiF9+rHyOj7O5JUmfETVE4F/WmdJ7jc39TJPfkjlOGPiMi6gi+40y1Q0I7ZAoA70Kgsl1ENLQnw8HYMFKcUr6XMVImJFJ91AH5TrhXfRgvTiSnP7QtI8r4aU/vYzj8P3c8AmekP5AubeT/mS+QgVNnZdPW6ptRD0YpI6Tq5z7trI85C/flSFL/MlicXh6KrT1z910d2pdRbSZ1mey3O26SaC+tSXOUDvSxkXurKKY+rpM6fUFn8iQWcpI7YOugCxw8B4sUkSHO2PpZpBDp8xxOi+7S91zDRz7IDPnnSMkHh6UPPUcdyEuSEOAsES7vS7II9Nb1ZJLucqRkkx1BisgkgslmZJSELpBPhMygTD3Inftcr4zIhfcZvCCY9IjMWgfsuQZVZBdh8j0ddh/njigiM97HvrGT6giZrglpyZ3AZjC0GfJsETuCKIpHt0Udta/v2GIbw7SB5+Qghu3zfO2MvNFJZWUXyAiimNElbaU8uQNYNgLvIRvsFOKSQOpyGpdcaC/toM/U1/uTgLAF7DzfoHzeqT39XyRLFFM/5EDO+jQ+hVy61sDZcw3g9Yc6kxl1YEdMH+pf17AJ5AFxZe/0nXqRY9FJfU92cnOB+rEfnm1w7BnqlnkXlVFfCDxob1FiBEzdyY165NKdzKHomYiTNmC7LPfR/trA5/rANChfYGYF2Ej1APez69qOvSb39dNz3n///aoM2pc8ib5qWwMYUVntLVrHT4p2Wu7jmQbtor0il/qWrOp3ddDeCHrupO2ssxqF1E1EIAY5FZp5gBjbTF5KyQgVxi/kndMIlDcjBkgfYaZwFCnXHIjSGe0QOIrDoHtX5quiYAwv40fgKTmjQkgJo5/6eh8kiaP3DFMFjCXlRQyNjhho9yAnQuQcindkugMKw6AiFp7jOobHd5ISZ0JHxiyJkGeor3Ix7tqGU1CuTLuhftrFqJLxdp3dX+7VDr5TBgY1lTsPo6fIIgQU3zQQY69tjU7BsxgpypzIKdeMmHkWA+MZCKJ2Ug9GjPHLKRJltt6J8qur9XuMpn7V9rnuznUWqWsn7/LunLLWFn7rc0ZFeygrout3jlI5d+3E8SuLtjIiZYTrU6yg/bT5mLbgk69W04vdLa1J83q6MSUPbY7UcVoIUhp+fdiK1GXeLP2T64P0K1JFb8gQGVdGz0Ak2A3OmB5waBwxGfeTCXg58JxaJTPkWB05Ss/nPOvEn96ST7ZF3TlzEUQL+m0iILfqkkQw7RI9YnOQG3aB3cmF9RyvAQxnKbLBdqgT+8BWibaZCjZQywgXKL8oGefseZnQmSPNpR/0RVlE40RxTLGpp+ghIknfgG7SbQQo86epG3KFoIm0iEghpUiOcqStoXt0iu0zSESM2A7tqG2Uh367Rz3YO7rIvten3elo3bZoZ+2dSy7YDXKQ5AmhNLjVhvTYO71H2T1Xe2oHkUfPUh9lF/EUrUXQMvE1UupHW/IHCB7yqk7sjb7wHvcbiKqLTWTaQ7sBksXmkQvtqH9dn3bad5mvzTNFsJSVX9BO6uK+zMPph3ySKTKvv/kjhIqMZUoTUVfvcI1lR6aLRdT0qTZD/tXFe5XdGtOM7CZymlrb0hV1IHeZVUDUDbmjqwgz2THQ8AyzGKbf3Ut2yDl/q42QzjEe7TaJUUjdRASFR5KMRAl4hoEJRy7s5UAYL8JNSDPrOeVnQAmUqFKeFpCJP41WjSQQPkbV842mGBjXuY9yUH6bH9zPoFIs78qRFHiP8ng2Y8IgMya+Z6CVhZIScotHkR7h+JxapKieqezIlN1eRkEUxKiHcopYZCSBIfMeTi13F3JmHA5F0w6+RwzT6FMmhoQh5iQYYM/LUxkYas9laJQzjz1jBPNIHEaQUhtJmqI2mk8CmNBenqufcq0aqHPmF+OoGI3cNaucCLa6MSCMj7KqA8PIACVB5piRLESNA8koHSgvo6xs2ltfeVf2LcOU58lmFDgX+SKCuZuxDn1ohM0otgXP0vfN0bvuOP1a3/naEZDV+tIA8odw5KAg1zzWwanl9FSeL5oRLrpMjnPJhnxZ7AQ5SMdHvzgozpP+kCnTk+QLCUrSlptnkADfI/5sQj3XXi7Az7Wz3o/QiWjlGiYDEBsKyD7nqb4GMKJw9UEEvfQO780lFHQ8py6znXKKl1xrK6BDCBc98xk959hzs0/KJnJKR+itwTDSlRFmes8OIbt0kF4jfNI/0TX2yiAXEWUj6bC6sYtAR1xH572fHNAfthHZRJKQJ/VQbzZY2yJk2lxUsb5OVVvWU+ckIfCbnWBn8qi6PLZRG+RJCeSB/dA22pQdzqTVSQxThhAxtqsePfIe7UCe9LkBrqgXmdR/+pT86ys+ih0gq0gi8E1sFfulHzxbGXJDiM/JBx+X6Wssx9GH3qGO+RsxZt8z04H66CsDfnLGBiKFpkY9V3nAs+zsPf7446u28W4DfHZc/7CL6kamci006FvtpB09y/X6TB9K3ZW7nLW9z+mkqDZ9Yi8T6kvmsjxkUX+Oy0kPXxQKqZtIyASRRvKICoNrVEBIcq0LwWMYGA2jLALscxGePBeSEBFeAkg5GDfKkFMHrqdwDATHQOgZ0lzEmVN1dl6mg2G8M1M3KEfu0lVW72BYGD/kzN+UP3MxGUFCkggGgkKZOlJHSkY5c3qUMVVPhsCIMXf1ISnqQjGt12Boc+SqDkan2pCxEeLnVKRW4KCUjyFjtCm8MjIcnoPA5UJWz/A89c4dXJSXITeSU746qWPEGB5txvgwVMqZqUIQAX3JkGtr5IzB0KeeJWKgz3L6zTvUi9FA4DzX8/IECeVmfCCnIjg135Md07jaM3coZgQo19jlGb/atHnHHnDCSF+rzPKJ+jqg7j79OrakDnKHMehbpIAz8dMqUldfd5rRG3JBLhED1yMXnKsoHHDAnJpIlKhCc4SRnHNGdDEXsUOuG/IOelCfeqXz6p8LwNUjy0o//dABdsC0KD0l69YJq2Nz+hv2gG4goAaSuc4WcaS35J9808Fcx5o5O3OxO3gXR29AqR3q/ZGkrq3pL8QSeVAX7Y8Q00F2RtQFuUxSQmcMvHP9o3dqR3bEtepoJoV9VXcEyfPZUnaQTct1u3kaQp7ckVCn3IVMFnL9rGe7V394PhvhHZ6vjREb7c6OqC8STDbVSfs2Q7u22vzmmQbMbAc7wqbkGkT96zs22wBXGyl//di9TJuTssROkF22xw+7Qo5yuUx9wKB/M3cnwqr87KsIsD7Nc1y1RWYB8OxcRpRQLz5RMmF9l+cne25uujEI0o5PjIqikRNtl7vIRSb5MjrlXn3ClmofPod+Geyro77PNlX3XLuaUN56mpjOhkLqJhLyuC7KSiAYXKSN0SOkhInQM9SiLBwMYaEgFJvgIScMZU5v5CjJczgPyBMoPMdvSpgJJ3OtV6ZJyMhPHtKdz8j8aJTa6B8IN0NFcSkbA8vBeEauz8pwfx4C7tmMA8XmfHJaxSiHAovuUSyKiyQhIYwIJ5Q7YRkJRiZH9hTYiFVUgAHKcyyN8hkKcJ2RK6XkSBgrhO5Pf/pTZUiRVjvjrLvJNk7Hh6Q1G+JcrKws2i0VmjOSfFXZkaWDDjqocsTaTL05A23RfMyWMuWRRQiY6QRtl7sGEzktrx+9W3towzxAPROegqmTTP/COIkk5BrKhLJkBv8847EVulN+ujryRJQ6yPfYEtxcV4cQkTcyQ5/ICCfWvFGCg86p7lwnl6cAkFH/Zw8yLQ7bYUmEgYiF2/Qo80YmEBfPdE19bSQdM/Cj2+kA699lmhvg7JU528F3HGJG1Tw7pzrra8cSmeAcMrE1WSfDnoXg5PPNMuSifch1u+BadUDOmk89yXV+bcG9yIN+ZY/YGsQwp0frES621YCTbtAVxDzb3YCRDVN/fZkRSWVkZ0S89C2yoU3cYyArclff7ZybJZoTVutTek4nEQfP18450FAuy0OUSRnygPq2Ug5lAupm6A9tabDue2d8IzbaFuFVNuVFXHLzSa7DBG2fCdW1J3lVh1xXnafXtFq6QV7Ujc32jkwdxb95B/ttMMN3iPDyEeqhfM3y5RoymUdJeq7+S38AZpcuvvji0YmK2XW6l2vr2GmEWR+atiebnoekeye9Iy9JDA2+6GZmW0jwVfU26mwopG4igYHjoNNZEvBMDslIUApGj7GpRwf8zhMdCHruMsp1URTU/zMqwwAYWTBclDKdQ3MEiuLZ0UbIcxolc/RwJElAc9dtTgsdddRRVZmNnv1GMOpGisAb7eYUgvciKkLcPmsOh3MsImYUmHHOxbaIn7ooHyPGEVBw1zM+aWyBkVEW5JLR92wkzS4oBIdhZfwYkt///vcVORbB8wz3MsqJfGbdEHs34psLnRksZcjIhSmcjNrpV0YqCTIj0ex08mxNMuGHsUbglCc3YiT0v6hnbvTwrIxgar8k7GTJqB+pzt2JCH99fVfKVUYGcgTajO64SSL7pTndSO60GxtwcvojIz2Qu8hbRZNysTsgFJn0liMiF57RLBeuQR7ohv9zkLm2DsgBXc51VkBPPZ+OcerNZeEYc30p0O1MqUPu1QvZsP6IrNHzjK63imbmjnbvtU6Jnhjo0B/vRgoQJTrrs4zAN0cvc9d4pmXxzuynjpxNzGayaWwYO0FftLk2qEM7pX1t3v3tO3rNDtDFOrS1dVfsSubcVH5ELaN/9WvrOplTsGxHEgh9r6wZWaKn8u0hISKF5EK9bRzIzXbN8P5Wa0HzHG51yelHn+kn0Sv9bYbFO8lCru/OKeOc4iRrBvfeo6zsrL/JMZ/RSs75P9fwc/oQiXO/9uADs13VHyEzPZxHWzbLl+drE21ufaa6NrcD+Z111lmr2SDv9q6MUAI76ocsmO71fwN/fahMficJ92x+hC+oR7frEddW/dAZUEjdREJu1U7jnbu2CCehYYwJjBE3R52Z2HPkbuRQzydn5OlezyP0aSgYbIYnIz6EnTDXR4h5+DJnIaKTR3d5P6OZU4O+S+RzGFZlQZxcS/kyWgSML6VkwJG1PMoGcooozyM1umH4GESkLyNqDAglQeoYiHQmnsVJNa8HS2fke9fnuat+1CFH+tqUU7Emw4jOj++bnULzgnkEKRNGI1jaS51MO1szwhDKAeVZyKhRb+7ObTV9p16MGyNqhG/0rN/rEYiEcusX32W6FDLBOWR6GwZYnTP1CkIPnFZ9l3Cu3wHOpq11dWOKfnQXMOrjsq6QTuqPerSEXCITnknu6lHSHMgkOA3kRiScI89pqPZgYEce6VGe0exdomiZ2NhaNnplMFdPlQOZ77De75x3Dhb9zkgx22VJgIGTSDuH3hxJUX5y73PP5ngN6rw/p9IyyTad8n8/CEcuIakTA/LqfjbCd56n3TJhuncgPKaC80fExZo3syTsG5Kg7dVThDNTNLVCnZDX20O9c8ah2bFrazMY7DwbQV/ZG3qX0X9tV0+gXD+FhD9gx93DJiD02tHz9AudR6iVDVnxTvc350erD96akUtuDD7ZgpQ7/cu2su3sJFvP1+grU7OZ6NdzlcU72Rv1yvNivZedzqnXVsij8vgPbYGYWa9JZuskWl09K/OjthpYqb/NDGY4JF/O9dQJsjfFFFNUz/A83zcPVrU13TSVqz5St9AP7yZP2pq86CO2VHu3msVoPk2mM6GQuokEwsGg1I1fJuM13WmdE4LDoeZ2acKco35kiSFKRU1S55kUIkegGSFKMkUZ0pAkqaOguQ6DsNv5ZcSTxpKyM671BaK5Q5XxNMpD2DyPUUbC8tw7xkimdCla1M1CbZnOGRH1zAX9rsujqignY5nTK0ZOjJnncmb1c2YZH/fW1zAglRkFzMPOgWFiYDIjujpZl8IoixwY6dbXfCSao5oZPcnpuYyqcjDOAfQ89XOPz9RdHawjyrWNdRj5an/Rzlx46/+mS3ONXEK/MUTqnc4kIw6gPTkIbaq9cmcceK/y5nRffXqteSde86L9zro9f2IjdySP63q65mfUSWFO09Q3S6TDas4lSC5ymt53YyJ14BrEAIEhF7kmF7yXHaFndJZ81lPv1NewJchZrqmjQwhHDgrSQScpa55uYx9EYnyeUehMk1Kf4s3k48rJuSpTHl1Vh+vYRPpq4ETfTjvttNG7kMk/m2dZhh/rDJET6T8MPDn/jHpbGoGg6Ye21kK1tQTBwK6tyCC7xE6zOUke9J33Z5+A8rMBSLfvM4VVrgPTN/rKbEAm6s2F+PrUphgEMmWqefdlffDWjJQ9/qgela3v8tZfymhKnGzmOj9tpQ2VJY+hJOtJ7NhXOtMeqcvNZGmjcxNZ80CSLaM7BqjtDTDpCCKWO4Pr0915Ksmmm25aPYedbU7lpP3Za7bbSRnkSRuTbQRawIEO2BBIHtS31UCvM0/BFlI3kcCQZE6gRK7VMAJg6Bi0XDOSyu43JSRoGX3LpJ9GgwhRTkUyBgwBg5c544BhzZQkIoKZ5DbB+DJWpiYpLEVQnub1Grkr1+guFTkXGNejPr7njIz0kCfOJjcUGDm71ghb+dJAZlbyPEED4dNW9VA3ssIYKW+OHOsbDLKuPsupzVybQiERnFbRsDGROsipV8/zPr89X5vk9EFGOnLdkzblHOrEgCFnXJRDGyDzDKeIjEifqELdOCDdrhd9zSit9+t77/BO79CvZEff1wkCRyii6vp6EtCUr+ak07n1v7uiHqVtK51JR8B5Nq9pSsOf0zVtRUXzaCXQ95nyoSPgzPUrHfIcckwuLPzmAOmqvidL9en35qnXlDPvJmMIl3ZpngZmezjDuowb9Kh/6i+7w/6xCfS0TorIvmiJQWWuXWXDmqe4fM6mpf5yznnGZ+Zya95p6j15prNnI1LKmYNVxEW0rnnajC7VNzeNDdyXCYYT+ld98kQPtty7M8daTsEqsz5CltiBHKwjJM32KNf0ZbLxOpqJcx3aQj9o45zu9I7mBNTNsFbQ7E3aED/anIwZiJI5ZWFjWw2UE9pU39XJdKsE33yiAYq6k5224J7MEUiv1Lu+63WKKaYYPcAhx63aRf84/qtVuekwG6rM/t8s/wnylTMknQ2dgtSZ0tKAOsTIJzOrjwny2+hk60s6G5KgNSuO+lEySk0YEYU0TgSFca+P/DMylYtSCSlCgWQhHXlkTj3KkDuuCL3IWe7yTDDYjJD3EV735rb+tkLMlDvX7+R6oToYodw0QdH1ibMEkZM867a+SBk4Fe1h7SAno7x1x8hAMwpGe5yitR9y1Km3aSejNAaVkckzdPN4JddnqpBxIXXemYmLOclsi5xKVrbcqADaWL+JgtbP1GVM6xFQEToL3fWB6y2utoM2z2fMVC8W8tYX2NMNjjmnefSZctQTJ6fDQJD9NE8ntZqCVafuuJ6uVVqTcY3UATmu7zrNPsszLjMCVt8kkciTZvQ3va8fXt8RGChkUmL2Q5TI/bnpCaylQoiADLdag5XJtk1vKU8ruWi18UPEPTctsQEGMmwAvWyWwSS7yul78pz2rRn1zRPgvSJw7KZBXt7jc8+y8J1PYCeQRgNoSXkT6sR2ZjskchfkuABBoGvNp7GIzBvU5oCBPck0JbnjGeiv97PX7KrvfZYkvxn6KCNdkGfftrfOMDcy5EkVHVlD61ozNOwQW5drkZUxd7Rm/sQxgd1HPJPMKU/u+Afy7pkpK2Mza9DczrOO8qF0GbFri3DWzz5uBtvMLmQWiFZQxtw13tkwyUmdEaVdhBbkc4CiHZh6s5NtBiGxVirzx3Q2tLWYmKAZMZm/t6AWActRGIFMo19Xao44j+kibEasGVInzBx5/X0EkeJmQlHvrCsRaDeEKdd+NC8ihpwKpsAZscrkx9Wh27VcPbnQWblzYTTl4HD0KcPbKiJkaoFhV173NBtHdVNHhMQ0C8WXkDJ3m/qhuAwDBUcO/d2RdUmJjITVweEZPXPU6usHmVT/3HBRD8tn39WhfRj8+oYRzsO0QYIxtrMrj+cBdTKCF2mwBi+nhvIMW+3k//q32ajmhhej7GaHypnkWZbdfedrIjcLtbXJpaMgL7nJqNl50MEkdW1FRg1mkBvOdGwjRuTBtBFywIbaAXjAAQd8xjlmpD+JhT5v5TzZEINq+tpqSq/5hAzEK0+GqQ9uyBWZbkWW8pg/RBDBsqlB2evTw60ip5n3zIAREbeO17o5aVw4ccTJc61NFM1BShC5Otg5pLA+aB4fUqe9cqalDn0ox1x9ehApMvj0nTbSxmQG6TErkzMh2r0tUge+z+h+Hv3WHuh8fWDZvOu5LbAfZEY5yY160g+2lr1HKDvSbuywvs1odfOmFDLAzo7LEpBs5zwffLZRu4vVeVwHq+5js9n3jsz0dDZMclInx5ijTixWzESRBF228LbAWVJca7laLWLtDGhvWgupQ9QYKcplpEVpcnNCPULmGobJtBmlp0h5eLvPtBXCQWEynUAmREWEMorZ7CjysGVGEEFppZy5HiOnahhhUwXQvJsy80dxTPVREIJiwbbnt1JahNPCXOF+BKf5RAQGK4+3SQLiOm3GmfgeoeJUOGhkxncdjdLVUZ+W8X99yLAhpbm9Xf2SLNcdTitSl4ldx+SkfW8dCAeJ6DNI3slRI6+ieKInnC0DxglmcuVWo0V9qy+aSUbKWd155pFF3RX1SF2e+jEhQT7JbRLHtjalINz6NeV6bEGPrCtDcNjSVn2a08FkuHnqtV6OPNqvlf1qzruXx48l6CG5MxORUeVWYAvYbnZBFJGdkcBbZCiPyquv9czEyH6Uj15J88IPWEtnQFcfILcFz8zpX8jNLOOqA+xDW4EFZCbPXgXtQq+9O5eWgDqwJXRTZLJVwuo66onj2yLOdbuc55q22n09JrA3oorav35iCVtLrjtKegxG87QP709S57l5ZvW4QhvTKfZ2wIABo5NKNx+Z2FHkOcfqOy662K1JHSHmxDKDdVWgySar/mbg2sIxxxxTKYyprjGBwuqg+s8XAYLVVmiaM6bcDGvu1KQguW6rTuqSJOWW88xllMcHUY7c7VYnD3nGIKPa6ogj70ICORmksVVurlynIrytDNrcMwm7stSnYDkt5VLu+igsF/o2T73WwUgwyq0OlGdstQkj6Fw+aM63puzahSPgTDivsQ2NNxtSdc5zE/PcWwaIU8zTHeqRwOacZ/pDRKC9eteh77QTI8xR5jS0fkbsLO71bk7bNRkRySmVOvSDad5WqMtWq3NOuyupI2PjsqZqTMi0DqIdZKKtlCl0OU9h6MiUVivQA8cbtUpOWz82rD2nnlGKtnZT1tcH0g3OtJm4KYfIWUdSPrAbyB3yi6SRe1OrInD1CHI9ipqzGeNKwNVP2cl/81m4YwtErb3oroEwm2RmJsl0EqMkdZ7BX/g8U8+kTW8FMpIDfXLbHI2sgx8V9c+1tMhdPfdmR+pnaUEeF+Y3O6ifWg3C2wLib2DaPLDRNmx7R8vTFhBrz280GpWPEn1tXg7RUdANcvFl3UA2SUkdxSeUzUasvnC4GRa62gXlqJyO4Nhjjx09febniwqntrc+B3lBDBimTMyZIy8OmeLlupWcGvB9HssFPmOgKVce71VHrqurZ2BvBmWXCqA9o+beXF9Qz9iexj13yNaVtVkRjP7bGwl7lqnOVskzs67uR4SNaKUukDcpDZX21N6mLxG+ekLfjqK+rk6dEDJrckTNMs8bZ+zzPIKoeXq3vhZSf3FKY5Miw3vs6hK1azbU+sC0i/V46ictwLhA9DZ33Hb3qdf69OvETOtiQISI0Je2Fl5nHjfo6LKBViAjbTmiPDaM02rrGjYL6W9vN2VG6nLHazO0o8GcwV+rc2/ryNQWbFXqmcibGYR6suRcs9vWzt2xgfeI5FuD12rt6YQEYqA+BmZmXSynUGe/RTLzZAY2lK3OqdS2zgxOuM4MSHszVdrfs9nftqY+OwJ+wsAniZ1nsYVt2etWcK3yINLqmqRVUGdCbDgg13Z6X3PNNaPXf4/rmjd9xo6PbTt1Fkzy6dexAeNrNIfQdXRB86GHHloJU/5kssuJDSOytkYfyk5J8pDt+o6mnMYzQsr1cHmCRJ7th3QgOowCJ91qLVCSulbkI2FUqAzNyTXrMNqpTy8obypn5tfKvFvNU68dBaJmxNYWwcgDqT1beWzv176MGuNoYKA8Nk/kMWXjQ+pMl3BqeW4h44NQkj9GknPJ0wPqyN2HYKqheRNDR5DTUq2Q66KkZkGuxyWnWp5+0J2TDteR5z6OzyaJMSE3Nom0tjftpU/ZhYlVDjAgaE8uyTSH1pbDZpfIoEELm9Mq0ptH69FTm6Dq69daPc9Ps12mw/WBTX1wSn7HdzBC7kV01GNcI6NjA/VBUqXNyEEbUmyZEVuRmx3SpuQ0Yltg/0Xh2iLfYJrXQKE+CyEa2JH1dHUoE3trA04mGtZfY7MOEdFSJ0Q6fZWy+KzVbMO4gM/rNSonZFuDp46C/I9PBLfbkjrGiyBT2DpyeqkZ1qGZhrTWiDH24xw5udb8v1VyVQIjylH/+SLQ6nD15kz2mQ8tw7ycS5I6RsuiWkQGmXCduiBAeb4kZUUA6ulMEqnI7UXqtLF1B+0pp+c2kxeGgkHJcwG9Aynq6ALcZmTS0rZC+Qwiha2vkWCUbTCw6YBxFnpHDOubEMaF1CHMooa5sDjbm5Fg0Cg6A9xqGi37zvWuGRdy2R5ymh707bis91DmnA5sTza6G8YnncmYkBuVbGJodZxSHWxA/eijCQ1y3t4xaEga+9rWgDQjfPUdr63k1ODLe2yUkrC41VQiokufcv1Se8jdup4zrkmim5Hnn37RU2xsiZxw1pFlCg4/bGeWZUykji9ob/kE/RZ91hfel7Ma4xKdZzP4E8/iPwUSmnewdgRsuLVuGQFDZpuP4BpfrL322qOPYRtf2RibSGRnwiQldZlsEHlJcKr+zuNbmiM2hMIUWP4Y9egA//8y7VRhoOoEiKAjBJmnLA/iNjUgcpQJHpM4IAxpoFtFGTJRceZ1a2/n0NiGqZVbGZWBM/R/JCaTH48tGDDK2B7kv2u1u9A7yQAHg2y2OtS6I8jNJUiqyEo61jwyDDgq7Y9EthpdZt/kOpYJjfp6OKRuXKcX1CkHQBNjHdmXDXSFHE/MCJlBnl1+7U2tZv6wSd0WY1pgbvClrdqyKwaCuU6arPm7ftJJQqTGgBJJQ27yaKpWyByUmch8QoD+TAw97QiQZnaL32K7mo8jy8FkW0DOpKFq65SYzPsGuVabb/V7XGSMr2bfEEkyrO3GlgzzbWwrIo+kp8+YkOjdu3flK8a3X7+Ma+kSk9yiS2diOvXMM8+spu/23nvvSnDs4AJrh0yhAsVncOo/FJxg+P+EGL19UTAFUo/m5bq6zAqP6JgqUSdENvPI5ZZtMMoxWmprPVDuFG0PeXTZ2MD1yi865h3WsinDuEy9gjqP7xoZRlCbjU8kFsFpXuNRX++ofnnOa6uoDjlEcI2SJ0bUp56fanxInQGCqZmJFZn6ssHgJDcMTSykw7YeVISi1YatiRktnJCgH21F6VpBtM4MS/PxVrkJiY1T77aOXapH5rrSkgE2j/02CDQwr8+YsNv1lFHNMCthDVnz6RIZ7bVjtXkGZnwi85nKhN1ByMYlBYx3i37x2RNr4Js2+8s6ddolSJ1descdd1wceeSR1U5BIxe5fVL4KH5zqoiuAIJd3zxQP9NPRMqoPdeyUdAkTPX1EdbE5Qi31UYECjSxFsJTan2DIFB2BnlSppfJkeP4jLBEH+pROsgkwznCtYalLeebSWQn9JRC/fmIp7KMD6kje2SmqzjH8YWBwMQkdEBerIUURdD+TheQwsO6qlwQ3976184EOt8qaj6mPHpmYOo7xDMNkwgQPWtrvfOE3CTR2cD/ydWq/s3TmQYbmfC9GXxi5vBszu9nkC1gULeF/IM1neOyPCblF9HkU/ijcZkRyTOS8xjHiRkZ786YsEmZxhGMnZ9WkLeoPZxxxhnRFYAwZIg8p/EYT85X5CcVIIlLniHZXtoAhG5i7eBRBiN2ZE5E0Uh8Quf4GluDMTaOphWQ6FZTE7npJNdYcDL1nXl12LU3oRb+tkJOzzOM4zN1YZTcnUezdWjHiR0h4xAzxQJn7Ie+0xvr0xAcem6nZFcE0my9q/XPiExOubIj7J3Zh7bWkOWaXWi1QenLDDY+N8s1D0hzXV1zVCzXs7k+bVOSNX5BOqY8KzZhAGj6f1yjY/yPaJ21aja/jIuNy53TZgkm1bR3d8Akj9QVfH73ZD2RrVFRpgioK1gezm4k155zn5hrA0QPrengnNrbhfVFwKLj8Y2QtZXNv76uDhimtqJk6agmFnKzRFv5zjoKhLy756hL0LdxXYs5vkSPU5efUAJav7sSYWll33LXej1xrfYX/WZHWg1Sc9owUzd9mdc7NYMOs52tjmlsa7OEKde0t3mObEI0zmxD87Ib9op9G9eINB9k0GHwMa4R/gxG6OsySzDxUEhdJ0Ku36orM9LUvA6ivq6u1c7XLwqUVJhfNHVi5nrqCJDeiXUyQvNpEeNLqMYHOU3flRzbpIb+Hdf1oBMK5CkTiXdlsBdmH5z8kpFiEfZch9pqc4DNXnZwtjo3tyvAGb2tNqe0la9VdDdnDTJynztom8+aTvAR47Ob0/QwUj0+R6qBQUtbsxwFEwaF1HUiGLlap5Y7Mdvagl4nGRMzv1ZHI2R2rk7MKcdJjUwnw/H4mdjrr9qD6Jpo7vjmYSoomFSQiJfNqg9WDcr83byZIiN3mRutK62nS9DlVvaTnTFNXYccgQhWLnXRLjlzIyDAN7R6lsiYs2fHB94lmDA+xNoU/JjOqi0YPxRS14mQSsyQUVyjNGH05khcPdu49RWTktQhPBMiI3hnh+k5U+HNx4NNCujvcd0kUVAwqYGQbLbZZp+JdpudQOyaN0vUU5iMy2kIX3bwA/VjEZ3q0EyK8kzfMeV9G9/ZBTYnkw+PK0oKpYmP0sKdDAgcwsbI2RlnvVwzqatvlsgdZAUTF5nbrTPsUEQwS9Lggq4EZM1OzubdnrmezkAXuenKMwKtkNOriVbHmpnGlssU4ZrQCc/rMGOEQBZ0bhRS18mQ6+qEuCXCZcRarZnLkPukXN/VnWCUam1PZ8glJjI6KdPHFBRMaOQOWLMVee51ndTlUYTdDfX11VJHWdfWvHbYbI51bnJoTuylNq02dBR0LhQ20Mlg1JWkzsjIouJWxsz31t9NyjQi3ZHYmYItU58FBRN+raj1YvWj8CAj410p6fC4kjq2p63BnBM8JtWGuYLOhULqOhmEzyXoFEp3mkZbkTjTFULuRZG/OEg/kef0FhQUTFgYoCIx9XV1OeXaVTdJjAmW3+TpI/VUJgUFbaGQuk6a4d50A0LXViTOZgkjuELqvti1bE49KSgomPBA6CDXkGVeuq6YdPiLPkWmoPugkLpOuq7O1Gp7hoyyW2tSjlr54jAxjwArKOjusKQkc65lklrrV5G77hwhN3B3/nd32/lbMG4opK4Tb5aQrqS9SJxjrcouyIKCgq6AzL9pDZ21dLlJwmfdmdBoF8may87Tgo6gkLpOCBsj7LQcE6mzxqvVWaUFBQUFX8b1Y1Ka5HmmSeq66yaJ+rS0aGV3JrYFHUchdZ0QphlslGDYyvRqQUFBd4FpViQGkcszll9++eXPnarTnWBgv8kmm3Tb6eeCsUMhdZ04tQljNrHOMy0oKCjobBCZE62TAcDaOkSmOyYdrsNGiXK0VkFHUZKcdeJ1dUapZXRWUFDQ3dbVyVsnatddkw4XFIwruh2pywOiM/dPZz7zb9VVV+305SwoKCiYkHk677///moK1g5YZ5o6BrHYwYLuiPdHyX3ylo6g25E65wtCd0xkWVBQUFBQUPDl4y0djVj3aIwNBewCMPpzxqCdVp15ahNDz11gkhEXjB9Ke054lDadsCjtOWFR2nPCorTnF9+e6BlCZ+dzR89473aROg3zZdoer7OLAk04lPac8ChtOmFR2nPCorTnhEVpzy+2Pcd2TWnZ/VpQUFBQUFBQ0AVQSF1BQUFBQUFBQRdAIXWdFPIyHXXUUd06P9OERGnPCY/SphMWpT0nLEp7TliU9vxytGe32yhRUFBQUFBQUNAVUSJ1BQUFBQUFBQVdAIXUFRQUFBQUFBR0ARRSV1BQUFBQUFDQBVBIXUFBQUFBQUFBF0AhdQUFBQUFBQUFXQCF1HUivP322/Gtb32ryi7tEOvddtstPvzww3av33///WOhhRaKKaecMuacc8444IAD4r333ovuiD//+c8x99xzxxRTTBErrrhi3Hnnne1ef95558XCCy9cXb/EEkvEFVdc8YWVtSu26SmnnBKrrbZaTD/99NXPOuusM8Y+6G4YWxlNnHPOOdWxhptvvvlEL2NXbs9333039t1335h11lmrVBILLrhg0fvxaM8TTjhhtP9x5NWBBx4YH3/88RdW3s6M//3vf7HJJptUR3zR3YsuumiM99x4443xla98pZLN+eefP84444yxf7GUJgWdAxtssEFjqaWWatx+++2Nm266qTH//PM3tttuuzavf+ihhxpbbrll45JLLmkMGjSocd111zUWWGCBxlZbbdXobjjnnHMavXv3bvztb39rPPLII4099tijMd100zVee+21ltffcsstjZ49ezZ+/etfNx599NHG4Ycf3ujVq1fVpgXj1qbbb799489//nPjvvvuazz22GONXXbZpdGvX7/GSy+99IWXvSu0Z+LZZ59tzD777I3VVlutsdlmm31h5e1q7fnJJ580lltuucaGG27YuPnmm6t2vfHGGxv333//F172rtCe//jHPxp9+vSpfmvLq666qjHrrLM2DjzwwC+87J0RV1xxReOwww5rXHjhhdLGNf7973+3e/0zzzzTmGqqqRoHHXRQ5ZP++Mc/Vj7qyiuvHKv3FlLXSaATdfxdd901+rP//Oc/jR49ejRefvnlDj/nX//6V6WYw4YNa3QnrLDCCo1999139N8jRoxozDbbbI1jjz225fXbbLNNY6ONNvrMZyuuuGLjO9/5zkQva1dt02YMHz68Me200zbOPPPMiVjKrt2e2nDllVdunHrqqY2dd965kLrxaM8TTzyxMe+88zY+/fTTL7CUXbc9XbvWWmt95jOEZJVVVpnoZf2yITpA6g4++ODGYost9pnPtt1228b6668/Vu8q06+dBLfddls15brccsuN/sz01WSTTRZ33HFHh59j6tX07eSTTz6RStr58Omnn8Y999xTtVdCu/lbu7aCz+vXw/rrr9/m9d0N49KmzRgyZEgMGzYsZphhhujuGNf2POaYY2LmmWeulmIUjF97XnLJJbHSSitV06+zzDJLLL744vGLX/wiRowYEd0d49KeK6+8cnVPTtE+88wz1VT2hhtu+IWVuyvhtgnkk7qP5+/kePXVVyvjXQdixiH6riN4880346c//Wnsueee0Z2g3gwzQ12Hvx9//PGW92jTVtd3tK27OsalTZvxox/9qFpP0myouiPGpT1vvvnmOO200+L+++//gkrZtdsT6bj++uurdcvIx6BBg2KfffapBh6Oa+rOGJf23H777av7Vl11VTN+MXz48Nhrr73ixz/+8RdU6q6FV9vwSe+//34MHTq0WrfYEZRI3UTGIYccUi2SbO+no06yPej4jTbaKBZddNE4+uijJ0jZCwrGFb/85S+rxf3//ve/q0XXBWOHDz74IHbcccdq80n//v0ndXG6BEaOHFkNnE8++eRYdtllY9ttt43DDjssTjrppEldtC8lLOoX6fzLX/4S9957b1x44YVx+eWXV4GFgkmHEqmbyPj+978fu+yyS7vXzDvvvDFgwIB4/fXXP/O5kY8drr4bkwPYYIMNYtppp62caK9evaI7gdPr2bNnvPbaa5/53N9ttZ3Px+b67oZxadPEcccdV5G6a6+9NpZccsmJXNKu2Z5PP/10PPfcc9XuuTopyQj+E088EfPNN190V4yLfNrxyja6L7HIIotUERLTj717947uinFpzyOOOKIaeOy+++7V3zIIfPTRR9VMEbJs+rag42jLJ1lO1dEoHZRWn8iYaaaZqrQZ7f0wJtZ62G5vjULCVAFDbmt5exG69dZbr3qGNSPdMSqi7kbe11133ejPtJu/tWsr+Lx+PVxzzTVtXt/dMC5tCr/+9a+rkfqVV175mfWh3R1j257swkMPPVRNvebPpptuGmuuuWb1f+kjujPGRT5XWWWVaso1yTE8+eSTFdnrzoRuXNvTmtlm4paE+f/tDSgYG0wwnzROWzkKJlpKk2WWWaZxxx13VFvupSeppzSRGmKhhRaqvof33nuv2rG5xBJLVClNBg8ePPrHrrnuth3f9vozzjij2km85557VtvxX3311er7HXfcsXHIIYd8JqXJ5JNP3jjuuOOq9BtHHXVUSWkynm36y1/+stp5ff75539GFj/44INJWIsvb3s2o+x+Hb/2fOGFF6rd2Pvtt1/jiSeeaFx22WWNmWeeufGzn/1sEtbiy9uebKb2PPvss6t0HFdffXVjvvnmqzILFDQquye9kx9U6/jjj6/+//zzz1ffa0tt2pzS5Ic//GHlk6SHKilNvuR46623KhI3zTTTNPr27dvYddddP+MQ5QIiHDfccEP1t9/+bvXj2u4GeX3mnHPOiljYni/fX2L11VevnGJz+pcFF1ywut5W8ssvv3wSlLrrtOlcc83VUhYZ/4Jxk9E6Cqkb//a89dZbq4Ew8iK9yc9//vNuNwCeUO0pbdbRRx9dEbkpppiiMXDgwMY+++zTeOeddyZR6TsX2vLP2YZ+a9Pme5Zeeumq/cnn6aefPtbv7eGfsYvtFRQUFBQUFBQUdDaUNXUFBQUFBQUFBV0AhdQVFBQUFBQUFHQBFFJXUFBQUFBQUNAFUEhdQUFBQUFBQUEXQCF1BQUFBQUFBQVdAIXUFRQUFBQUFBR0ARRSV1BQUFBQUFDQBVBIXUFBQUFBQUFBF0AhdQUFBQUFBQUFXQCF1BUUFBQUFBQUdAEUUldQUFBQUFBQ0AVQSF1BQUFBQUFBQRdAIXUFBQUFBQUFBV0AhdQVFBQUFBQUFHQBFFJXUFBQUFBQUNAFUEhdQUFBQUFBQUEXQCF1BQUFBQUFBQVdAIXUFRQUdGn06NEjjj766Ogs2GWXXWLuueeOzopW5etsbVhQUNAahdQVFBS0ib/85S+VQ19xxRVbfv/oo49Wzv65555ree8ZZ5zxBZQy4oorriiko6CgoNtj8kldgIKCgs6Lf/zjH1XU5s4774xBgwbF/PPP/zlS95Of/CTWWGONz0V3kLr+/ftXkZ8vgtT9+c9/bknshg4dGpNPXkzd+KC0YUHBlwMlUldQUNASzz77bNx6661x/PHHx0wzzVQRvC8jpphiikJIxhOlDQsKvhwopK6goKAlkLjpp58+Ntpoo/jGN77xOVJnanXrrbeu/r/mmmtW07R+brzxxipq98gjj8R///vf0Z+L5iXefffd+N73vhcDBw6MPn36VBHAX/3qVzFy5MjR15jSdd9xxx0XJ598csw333zVtcsvv3zcddddo68TCRSlg3yXn/bWg913333x9a9/Pfr27RvTTDNNrL322nH77bd/rn7uveWWW+Kggw6qiO3UU08dW2yxRbzxxhsdasOLLrooFl988YoU+f3vf/+75XXqfcIJJ8Riiy1WXTvLLLPEd77znXjnnXc+d+1//vOfWH31/4+9+wC3syj+Bz4EktA7oYVepTfpTYqASJVepDdRqgpIkd5FEAVEUBSQLr03AeldAqF3AgSI1IR+/s/n/WXyf3M45yY3jSTsPM9N7j3nLbuzU747Ozu7UkwyySRV+/Hjn//852DXXHLJJbH44ovHBBNMUEVLt9pqq3jjjTeGuX3NPPS7z0Rv8X/yySePySabLLbbbrvo37//N6J8e+yxR9UObV533XWrtpQ8vUKFRjyVqVehQoVaEhC34YYbRrdu3WLzzTeP008/vQJTQARaccUVK2f9hz/8IX7zm9/E9773vepz/wMov/jFLyrAdOCBB1afAyqI0wdKOHbAZeaZZ64iggcccEC8+eab1b11Alg++uij6lpA4Pjjj6/a9eKLL0bXrl2rz/v06RM333xznHvuuUPsF7C5wgorVIDo17/+dfWMP//5zxXoBEKb8wf1A7j97W9/WwFN7fv5z38eF110UYfvuemmm+InP/lJzDfffHHMMcfEe++9V4Genj17fuNafQAifY+noqR//OMfK/AJVGojcs32229fgT/8AqZcc8MNN8QWW2wx6BrPMU7e+/bbb8cpp5xSPce17uls+9rRJptsErPNNlt1/yOPPBJnnXVW9OjRowLoSUDfxRdfHFtvvXUsvfTSFY9NFAoVKjQSqFGoUKFCTfTQQw81mIebb765+vvrr79u9OzZs7HnnnsOdt0ll1xSXXf77bd/4xnzzz9/Y6WVVvrG50cccURjookmajz77LODfb7//vs3xh133Marr75a/f3SSy9Vz55qqqka/fr1G3TdlVdeWX1+9dVXD/ps9913rz5rRT7/7W9/O+jv9ddfv9GtW7fGCy+8MOizPn36NCaZZJLGiiuuOOizv/3tb9W9q622WtX/pL333rtq5/vvv9/oiBZZZJHG9NNPP9h1N910U/XMWWaZZdBnd911V/XZ+eefP9j9N9xww2Cfe442LrXUUo0BAwYMdm227/PPP2/06NGjscACCwx2zTXXXFM965BDDul0+1rx0O8+23777Qe7boMNNqjGK+nhhx+urttrr70Gu27bbbf9xjMLFSo0/FSWXwsVKtQySieyZlkViZBtuummceGFF8ZXX301XM+2NChSJvr17rvvDvpZbbXVqmffeeedg13vva5Nci8Sqesseb4I1frrrx+zzz77oM+nn376KtL1n//8Jz788MPB7tl5550HW871fs955ZVX2r5HxPGxxx6LbbbZplqWTFp99dWryFgzP1zjuzo/LJ+KdN5+++3VdSKRIpb7779/tVxap2zfQw89FH379o2f/exng10jMjbvvPPGtdde2+n2dUS77rrrYH/jjYhf8lAEEWlPc/SzUKFCI54KqCtUqNBgBLAAbwCdZUB5U34sS1rKu/XWW4fr+c8991zl7OWo1X+AOgSU1MnybJ0S4LXKNxsSyYWz/DvPPPN84zvLxnLbXnvtteF+fwK+ueaa6xvfNb8bPz744INq2bKZJx9//PEgfrzwwgvV/3LfhvTeVv0D6vL7zrSvIxoSb7ynS5cu1RJtnZp3URcqVGjEUMmpK1So0GB02223VZEcwM5PqyjeD3/4w2F+PuAkIiSfrRXNPffcg/097rjjtrzu/1YFRz6N7PfjB0DXbncxcDe60rc9NoUKFRqcCqgrVKjQYARcABm5o7RO//rXv6odkmeccUa1s7K+LNlM7b6zi1UEKiNzI4I6akczQJpwwgnjmWee+cZ3Tz/9dBVVsiN3eGmWWWYZFIVrpuZ348ctt9wSyy23XMXTduQ61KtXr7aRrnyvd6yyyirfeG9+35n2DQ95D9Aq4luPCor8FipUaMRTWX4tVKjQYOUnALcf//jHVRmT5h+7PuV1XXXVVdX1SnxkiZJm8l2rz+2YvPfee+PGG2/8xneu//LLLzvd7o7a0RxZEmW88sorBzsFw7KyXbbLL798tSt2eEmO3iKLLBJ///vfq6XVJHlxCjY388OS9xFHHPGN5+BF9km7lQSx0/TTTz9tGRlbYoklKkAOdH/22WeDlUHp3bv3oF2nnWnf8NAaa6wxqBB1nU499dQR9o5ChQr9fyqRukKFCg0iYA1oU0usFSlJkYWIbWAADAAlJSyAA3XkRIgAC4n+yqAceeSRVWTJZ7771a9+Vb0HcFTuwnWffPJJPPHEE3HppZdWYEtNs86QZyDlQAAJbdpss81aXqs9wAsAJ4FfUV0lTYAg5VJGFAFfQJT3KEPSr1+/CswoRyJSmaS8i5Imrrd5AXhTwkQUzSYK5UgAamDz97//fey4445VuRIbO+SwPf7441WeIIDmPmOhNInnKkWTJU3UDtx777073b7hIeOibIoyMDZQZEmTZ599tlMR1kKFCg0ljYAdtIUKFRpLaJ111mmMP/74jU8++aTtNcpRdO3atfHuu+9Wf//lL39pzD777FWZj3p5k7feequx9tprV2U4fF4vb/LRRx81DjjggMacc85ZlReZeuqpG8suu2zjxBNPrMpy1EuanHDCCd9oQ3M5jC+//LLxi1/8ojHNNNM0xhlnnMHKm7QqnfHII4801lhjjcbEE0/cmHDCCRs/+MEPGvfcc89g12RJkwcffHCwz/WvXRmXZrrssssa3/ve9xrdu3dvzDfffI1//etfjW222eYbJUPQmWee2Vh88cUbE0wwQcWzBRdcsPHrX/+6KrdSp6uuuqrilesmnXTSxpJLLtm44IILBrvmoosuaiy66KLVe6eccsrGlltu2Xj99deHuX3tSpq88847LXlm7JLIkpIz2oHfSso888wz1XXHHnvsEHlYqFChoadx/DO0ALBQoUKFChUaXhKRXHTRReO8886LLbfc8ttuTqFCYw2VnLpChQoVKjRS8zSbyXKsTSlOJSlUqNCIo5JTV6hQoUKFRhrJU3z44YeruofyF23a8KOo84jYaVyoUKH/T2X5tVChQoUKjTSyKeWwww6rdtXagKFgsXNgnQkM5BUqVGgsWX51HNA666wTM8wwQ7UL6oorrhjiPf/+979jscUWq3bZ2VHn8OpChQoVKjR6kkLTjl+zu/bzzz+vatT99re/LYCuUKGxDdQpY7Dwwgu3LHLaihSwtAVfGF+i7V577VVt729V76pQoUKFChUqVOi7RKPN8qtInUr1DtpuR/vtt191ILWK6klqUSnOmQdHN5PaU/UinKqbmzFONdVUpUZSoUKFChUqVGi0JPBM3VCrmTYWDQ2NUfFvVeibjxZSaFTErh0psCmfo1ChQoUKFSpUaEyj1157LXr27Dn2gbq33norpp122sE+8/eHH35YbZtvdW7iAQccEPvss8+gv1W9l6iLSSPiOKBChQoVKlSoUKERTbCNHeKOBxxaGqNA3bCQDRV+mgmgK6CuUKFChQoVKjQ6U2dSxcao4sPTTTdddY5hnfwNnLWK0hUqVKhQoUKFCn1XaIwCdcsss0zceuut36iB5PNChQoVKlSoUKHvMn2roE4hSqVJ/GTJEr+/+uqrg/LhfvrTnw66ftddd40XX3wxfv3rX8fTTz8dp512Wlx88cWx9957f2t9KFSoUKFChQoVGh3oW82pe+ihh6qac0m5oWGbbbapigq/+eabgwAemm222aqSJkDcKaecUu0GOeuss6odsIUKFSpUqFChoSPlvRSDLvTtUdeuXWPccccdO+vUjcrdJJNNNlm1C7ZslChUqFChQt81AuasjAF2hb5dmnzyyav9Aq02QwwLXhnrd78WKlSoUKFChf6PxHGsgokQKZcxtEVtC434cejfv3/07du3+nv66acfIc8toK5QoUKFChX6jtCXX35ZgQmnFEw44YTfdnO+0zTBwKodgF2PHj1GyFJsgeiFChUqVKjQd4S++uqr6v9u3bp9200pFDEIWH/xxRcj5HkF1BUqVKhQoULfMSpnn4+d41BAXaFChQoVKlSo0FhABdQVKlSoUKFChQqNBVRAXaFChQoVKlRojKWXX365WsZ8bOBBBt9lKqCuUKFChQoVKlTouwjq/va3v1XboQsVKlSoUKFChQqNwaBu//33r6of77DDDnHPPfeMnFYVKlSoUKFChUYZffLJJ21/Pv3006G+dsCAAUN17bCQEzCOP/74mHPOOaN79+4x88wzx1FHHTXo+xdffLE6elSZkIUXXjjuvffeQd+99957sfnmm8eMM85Yfb/gggvGBRdcMNjzV1555dhjjz2q8+WnnHLKCusceuihg13z/vvvxy677BLTTjttjD/++LHAAgvENddcM+j7//znP7HCCitUNegUd/a8Ye3vKAF1b7zxRvz973+Pd999t2LAvPPOG8cdd1y89dZbI6eFhQoVKlSoUKGRShNPPHHbn5/85CeDXatQbrtr11prrcGunXXWWVteNyx0wAEHxLHHHhsHH3xwPPXUU/HPf/6zAldJBx54YPzyl7+scuvmnnvuCsQptowA08UXX7w6P75Xr16x8847x9Zbbx0PPPDAYO+AbyaaaKK4//77KwB5+OGHx8033zwIVOrf3XffHeedd17VBu3JosEvvPBCrLnmmhW//vvf/8ZFF11Ugbyf//znMcqoMRz01ltvNU488cTGggsu2OjatWtjnXXWaVxxxRWNr776qjG60gcffOCs2+r/QoUKFSpU6LtEAwYMaDz11FPV/3XiF9v9/OhHPxrs2gknnLDttSuttNJg10499dQtr+ssffjhh43u3bs3/vKXv3zju5deeql65llnnTXosyeffLL6rHfv3m2fufbaazf23XffQX9r+/LLLz/YNd///vcb++23X/X7jTfe2OjSpUvjmWeeafm8HXbYobHzzjsP9tldd91V3dPM7yGNx7DileE6JgxCXn755ePZZ5+tfp544onYZpttYooppqhy70TyChUqVKhQoUKjN3388cdtv2s+virPK21FzWfJ2pk6Iqh3797x2Wefxaqrrtr2moUWWmjQ73mWqrZaUXSSxtFHHx0XX3xxteL4+eefV89rPiqt/ox8TvZXBLBnz55VFLAVPf7441WE7vzzzx/0GbwswvfSSy/F9773vRjZNEyg7u23345zzz23Am7WsNdff/1qTXm11Var1o6FK4G7V155ZcS3uFChQoUKFSo0QsmS47d97dCck9oRde3a9RsnNQBU6IQTTohTTjklTj755CqfTrv22muvCty1e0Y+J58xpDYAxvLt5NE1k/y/UUGdBnXrrLNO3HjjjRVS3WmnneKnP/1plVCYhFH77rtvxcBChQoVKlSoUKHhpbnmmqsCVbfeemvsuOOOnb7/7rvvjvXWWy+22mqr6m9AzQrjfPPNN9TPEMV7/fXXq/taResWW2yxKs/ORo5vizoN6iRI3nHHHbHMMsu0vWaaaaapQo2FChUqVKhQoULDS3aa7rffftXO1G7dusVyyy0X77zzTjz55JMdLsnWQeGll15aVe2QInbSSSdVq46dAXUrrbRSrLjiitVGCPcDb08//XQVzbNBQvuWXnrpamME4CnIBeTZaPHHP/4xRktQd/bZZw/xGh2cZZZZhrVNhQoVKlSoUKFCg5Fdr+ONN14ccsgh0adPnyrfbddddx2qew866KAqXWyNNdao8ujsfpU69sEHH3SqDZdddlm1w9bOWulmgJ0dsBnJE/SyC1dZE/l0c8wxR2y66aYxqmgcuyU6c4O1Yp1oXjOGQp9//vlqvXp0pg8//DAmm2yyaiAnnXTSb7s5hQoVKlSo0CgjpT2spM0222xV9KvQ6Dsew4JXOl2nDkoV9mymZZddtgptFipUqFChQoUKFRr11GlQpyoz5NhMUKSCxIUKFSpUqFChQoXGAFBn6fWGG274xufXX399zD777COqXYUKFSpUqFChQoVG5kaJffbZp9rZYdfJKqusUn1mi/Hvfve70T6frlChQoUKFSr0f0VxC41949BpULf99ttXVZgdonvEEUcMOtvt9NNPr2rWFSpUqFChQoVGT8rTIRTdHZqCvoVGLvXv379l0eNRtvu1TqJ1hGJYD+f9Nqjsfi1UqFChQt9V4vJfffXV+OKLL2KGGWb4xrFehUbdOAB0jiCbfPLJBx1rNrx4ZbjOflVkuFChQoUKFSo0ZpA6sgCEMhrlKM9vnwC66aabboQ9b5hAndIlDsWF9pvPTXvkkUdGVNsKFSpUqFChQiOYnMjghIVm/11o1JIl11wO/9ZA3R/+8IeqWvK2224bV155ZWy33XbxwgsvxIMPPhi77777CG1coUKFChUqVGjEk2XXUnx47KNOL6afdtppceaZZ8app55aoX3nsDnXzAkTnT1uo1ChQoUKFSpUqNC3BOosuTo9Atkk8dFHH1W/b7311nHBBReMoGYVKlSoUKFChQoVGqmgTkJfv379qt9nnnnmuO+++6rfJV2WujeFChUqVKhQoUJjCKhTcPiqq66qfpdPt/fee8fqq68em266aWywwQYjo42FChUqVKhQoUKFRnSduq+//rr6GW+8/9tjceGFF8Y999xT7aTZZZddqjy70ZlKnbpChQoVKlSo0OhOw4JXOgXqvvzyyzj66KOrUyV69uwZYyIVUFeoUKFChQoVGhvxSqeWX0Xnjj/++ArcFSpUqFChQoUKFRqDc+pWXXXVuOOOO0ZOawoVKlSoUKFChQqNGlC31lprxf777x+//OUvqxImNk3UfzpLf/rTn2LWWWetiiAutdRS8cADD3R4/cknnxzzzDNPVU5lpplmqjZqfPrpp51+b6FChQoVKlSo0Hd6o0RHh/86U+6rr74a6mdddNFF8dOf/jTOOOOMCtABbJdcckk888wz0aNHj29c/89//rPK5/vrX/9a1cp79tlnq5MtNttsszjppJOG6p0lp65QoUJjOpnIDuk0gCeeeKI6n3tEnitZqFChsSinrr77tdVPZwAdAsR22mmnqjTKfPPNV4G7CSecsAJtrcgu2+WWWy622GKLKrr3wx/+MDbffPMOo3ufffZZxZj6T6FChQqNqaTguxN93n///bbXfPzxx1UN0XIWd6FC3y3qNKgbUeQg4YcffjhWW221/9+YLl2qv++9996W94jOuSdB3IsvvhjXXXdd/OhHP2r7nmOOOaZCuvljybZQoUKFxkSysHLttdfGkksuGc8//3zb62655Zb48Y9/HO+991414S5UqNB3g/6v2Fwn6PDDD+/w+0MOOWSonvPuu+9Wkb1pp512sM/9/fTTT7e8R4TOfcsvv3xl3OzC3XXXXeM3v/lN2/cccMABsc8++wz6W6SuALtChQqNiXT//ffH7LPPHgsvvHBceeWVscQSS3zjmldeeaWqFzr99NNXKxovv/xydU+hQoXGfuo0qLv88ssH+/uLL76ojghT7mSOOeYYalA3LPTvf/+7qpN32mmnVTl4Zqp77rlnHHHEEXHwwQe3vKd79+7VT6FChQqNyfT2229XgG2TTTYZlL9sYpuF4JHPVCfYeOONqxWNySefPJ588skC6goV+o5Qp0Hdo48++o3PRL9sWOjMMWFTTz11jDvuuJWhqpO/2yX2Am5bb7117LjjjtXfCy64YHzyySex8847x4EHHtjhJo5ChQoVGlPJ5PmGG26IjTbaqAJ0aJZZZqlAnsl0EiC30EILVdUBevXqFXPPPXeVZA3ssbeFChUau2mEoCC7Mg477LC20bJWZHlg8cUXj1tvvXXQZ3I//L3MMsu0vKd///7fAG5pqDq5ibdQoUKFxhiSIyeneKKJJhr0maMZVQCob6CQZ2xpdsCAAZWNNUkWpfN5oUKFxn4aYaEts0E/nSG5bn/5y1/i73//e/Tu3Tt22223KvJmNyxS7kROXNI666wTp59+enXerCXfm2++uQKSPi+z0EKFCo2N9Nxzzw0Ccc2rHXKM68DPRjORPCBORQGlT+aff/5qCbZQoUJjP3V6+fUPf/jDYH+LkL355ptx7rnnVoWJO0ObbrppvPPOO1Ue3ltvvRWLLLJItcSQmydeffXVwSJzBx10UGWw/P/GG29UNZgAuqOOOqqz3ShUqFCh0ZKsWKTdU5pENQCbxJqJLZxyyimrHa5SYCy5pu0EBFdZZZXqf2WiTJab8+8KFSo09lGniw/PNttsg/3N+ABXDIio2iSTTBKjM5Xiw4UKFRpdSV1Np+yIuMkZvvjii2PllVf+RpWAJKCtb9++1aYxk2QFiZn0888/P7baaqtqc5kIn0kw2/y9731vlPepUKFCow6vdHraZtmzUKFChQqNeALOVlxxxSr6duKJJ8bSSy/dEtCp1wmkKVnipB2b1PKECaseudnMvfLqLMXeeOONBdQVKjSWU6dz6iDGfv36feNzn5XTGgoVKlRo2MkRifPOO2+VB2c59YUXXojXX3/9G8uz55xzTrz22mvV6Tt2udoJW4/eZf4dcAfkTTzxxFXBdz+FChUae6nToM45qzYqNJNlAt8VKlSoUKHOk7Ijdq2KuMktVibKkqqCw3fdddegkyH8bWPYFFNMEVNNNVW1VGvDmdN1bJwA9nr27FlVC1CjM48TU96kvlu2UKFCYx91GtQxKD/4wQ++8bm8D98VKlSoUKHOk5pzIm7KOll2FV0Trdtwww2rUiYXXXRRtRpyzTXXVLU577zzzirfRjFi0b3FFlssbr/99njooYfiiSeeqCbal156aXWiBEBo6VWVgUKFCo291GVYEnntompVHNMss1ChQoUKdZ4cj6iQsHw6UbX6LleAbfXVV49//OMf1aYHy6uWZn0uYve///2vyp8D3OTXXXbZZRUAtIFN5O+ss86q/hYNVOakUKFCYyd1GtQ5SPrMM8/8xudnnHFGVUy4UKFChQp1juxYBeb878zWVqQuneidPLmTTjqpAnk2VqAePXpU5aEsr4rMbb/99lWJqauvvjqWW265CvwpjeId//3vf0dx7woVKjSqqNO7X4888sgqh+Pxxx+PVVddtfrMcsGDDz4YN91008hoY6FChQqN1ZQ7Vus7V5tJblyfPn2qVBc7Xp0cAdRZqhW5s8ninnvuiW222aYqPWW51tmvNk7MOOOMVQRPNFCtUdE7JVPyyLFChQp9RyN1Zn1mfDPNNFOVs2EmOOecc1azvxVWWGHktLJQoUKFxmICyOaZZ54K1OWGiGYC2CyfukZes0m0wu+ibzPPPHNcfvnllV0G1qTDSJMR+VP6JE+UkHunZIqo3gUXXFDl5V155ZXD3X7vaVUVoVChQqOWhqm8uJMfFLcsVKhQoULDT8qWAFvXX399PPLIIxVIqxdydyKEo7/UnHOKDuBnmdZS65///OdYc801q+922WWX6nr5dqJ3vgcAf/WrX1W5dCJ0yqXIf5aHd/TRR1enVthwsdRSS1UbMzqTX61NIoFKXWmj3bpy/AoVKjSGgDrb5m2nX2ONNQb7XGFLhqazR4UVKlSo0HeZLKuqFm8p1CYI6S133313BdSSpLgAaJtvvnkFpAA6UTebHxSE/9vf/lYtuWYdOsusNkk48cczF1100WrX7EYbbVTZ7yOOOKJadfEu19ola2k3c/ps2FAWpflMbVFBIM47PXv22WevwKhlXjtrgcklllhilPOwUKFCwwjq9t9//zj22GO/8Tlj4LsC6goVKlSo80uvImciaMsvv3yVDyeCZmME0HfttddWIMzJEAAVIJZRMhEyR4IpRCy3WSTOvc58Bc7+85//xAILLFBFAPfee+8KPMqH3m677arnAmaepa6dzyzvAmeAJVDn1AqfAZDOmhUBtCmua9eug/XDdZ5XQF2hQmMQqGNEGJZmMmvMnViFChUqVGjoCKASQXP01wwzzFBFwAA4OXSWTn//+99XETpLtCJlljfHG2+8qhLBoYceWuXPqU1nx+u5555bbbRQ7+6KK66o8p3tiAXY5NUBcAceeGC8+uqrVT6dqBzw5zo50gDgSiutVG2sMFHXNmDRSoxzZIHMdmTp1pKsFRt9KFSo0KinTmue3AuK3kwAnQKZhQoVKlRo6EhkDkAT9RJlA9SQnDqbGeQu5xmvNkFY4nQt4Pavf/0r9t133wqQ2Q0rp06+sxN/bGCzeU19Osu2cunWXXfd+MUvflGdViGC98ADD1QgD5AUDfSdZVi2HEg877zz4qmnnqpOqRDpa3WSUDMBiTZvFCpUaAwBdeutt17stddeVXg+iRFgXBiNQoUKFSo0dFQ/p1VEDXiS+3bJJZcM2plqF6vaoCJtNlIAbCeffHK1ExZwA/CANsurAJWjwUTZHCHmGpG3ZZdddlC+nHp3lnwt2wKMihZbXrUsq+jxz3/+8+paJVAARUutjoDM53dEuZRbqFChMWT59fjjj68SeC23SqRFlgWUMznxxBNHRhsLFSpUaKwkQO5HP/pRtXsUqJKTJqcO6Npyyy2rSN3uu+9eLaUCZ3LvlDIRVctTJ9hfkTUFhuW8HXzwwbHnnnvGMsssE48++mgFtAAyS6KWRj3fMu0000xTRf4Au1xatXuVXQcetcE13bp1i9tuuy0ee+yxOOCAA6r2ukfEsP5jGVf7LBsPD1kqFsEESgsVKjSSQZ3lV0p78803VwWI5VEstNBC1Q6oQoUKFRrZBJgAQGN64VwROLtVgSGgyeYGUTFHgQFgonZy6ux8lUcHZClLAlDVjxGzUmKV5I477qgAG1BmUwNgZvItcoZXdthaSnX6hGf73BLuT37yk6qgsR9tcVLFX/7ylyrvztLwD3/4w6pdInt2ubovo4AihJ6rTaKGIoHaLs+veSPF0IJceX3ApNIthQoVGgV16hgIiu6nUKFChUYl3XXXXVUiv1yyMZnkusmVs9QpJ06dOCWjRNsALUcvAm9AHluruK/ctx133HGw54jUWR69/fbbq6XZH//4x9UZsFdefnm1ZGtjm5++fftWy6xAHdAnMmfjhWtFx0QA/W/Dhl2wln5N1oE2O2qRCBr7730ieIAooOjHblnA0yaNV155pVPjY4OFzRhAokjg0OTvFSpUaASBOjM2s0IzuayLlLTHHnsMyyMLFSpUaKgIOBEJGtNBnbIkct0srQJsAJPoll2sgJrImSVXQEzETCkT0b3777orXj/99PhB9+7R/733YoKnn47xLrggFn3uufjD66/H0ZddFv/q1y8W++yz6Dv77PHYe+9V78nixQhwk8sHmJ122mkVmPIjUpfpNey7aJ/NF0AdYOhvoIv9BzRF6Pyokaf9lnvt5PX/0I6Pfskf1F/5gMCdXMNChQqNAlBHWSm1GR1wZ1ZplsYYmAEWUFdobCFRETIuKlRo1NBVV10Va6+99jeK3jZHdQC7MZlE59SlEx0DlOSi6TcwIzInimajguVWu1OBKEugk3frFpuec07cctdd8RoZjYg5Bj7z1YhwBkX3AQPi2YjYISLWevHFuKtPn3iADM89d2WrRQiBxn322acCdyJyllVF2izfAnqWQcm+pVhRMzog3w7wY/tF+jzLposk31kKtnRq5+6QCDC/5ZZbquV0JVuAV2k9G2+8cZUD6P0dVVRQLBlvChUqNBy7XxWvlOvAIMmnu++++6pQO4NTNkoUGptIjpBJTKFRB3SU0LAk2I4AAIDPEqCcrjGVLIsCaqJUCgGLjNm0kMWCRaxE7YAuUTrVBl596ql45aCD4oK77ornxx8/TltssfjbUkvFo5tsEmdvu23csPDC0XPtteOoHXaI53/0o7jvuOOi9zzzxIGffhrnHHVUTPLAAxUYVtjY8q6SJoCUovEAmUgbQCZfzvuBq4UXXjg23HDDqtQJOy+n2hKrkygAMmOG/A8U8gvGBRizNNtMTzzxxCBQaclZtBCYfe2116p+b7LJJlWAwOYOOdvtCHi02aPdObmFRv8Jc6HRBNTZAaV8iWRYxtWsWf0ku2J/85vfjJxWFir0LRDHU4zPqCPRH9RRFM4uUcBiTK2Hxl6KRp1++unVZgW7WAEoIFVkCsizk1V0TFkTNeXUr1t+vvni/XPOiXXefDM2n2aa2OU//4l5f/GLWGz33WO7iy6KCX/4w9ho993joDPOiJc+/zxWWXfd6OrYsLPPjkeXXDLEu87/05/i9lNPjWmnmaaSbUu5JuhAGhu+xRZbVGBNGwEukxr5i0svvXQFxA466KAqgvfRRx9VUTalVNyL6AmABZCJNrYrbQLM/v3vf6/6BMBZogXkReb8jRdInp/3tyLvsVnPbl9gsNCYReTORpwxeVI2VoE6s8esFm65Vd4FYmiLghUaW8iyV5Zq4MAKjXwSNZK71RGoE8Wz5Kc4b9qeMYHkzMkbA9YSuKgHBySpEwfQ2hQB7Nnx6kQJTs9S6EzjjBObnHdezP7RR/HudNPFgFtvjb8++mj06tWrcpD4ZinSPXa+klf5b8DZYsstFxvfe28cssMO1XLtey+8EH/Zd9/o16dP9d7777+/AseWWQFl7RCtE8nTDlFCE/add965GhfPBOT++Mc/VkvG7vc+YBT4Mzaii61AneuARCs8NnP4XyQcD0QDvSsJYAQUWzl+ABDo03fRTm0qNOYQeTOuZLbQaJBT52Bosyxhc0m8hxxySJVbIRRu5lmo0NhAnBTHJHrCCAERhUYuASdsCPvSjtgaoEOOl4jW6EyWHwEvS4UmvQsuuGBlN22MEBEDYgAamwwsW4pMWeL8/ve/X20+AGwuOu20WOeRR2L6zz6LWWaaKV7ad9949fHHK1AkuocHZFWkTdTLMqj/77333gokAml2r76+9trxg3feiX9ddVWs8v77sflf/hLnf/hhvPXll1Xunmdl9NM4sO1AGaAGPE8/3XQVaARITXhETC23ZukUAMtmDBN9S6zOotV/7cmlcidU2HThRzTPM/RbQfvm8jRy/LRbhNCSdBIAJ7IHvMo7lP4jD9Pnlo3pKV64d2hJf4xFHVQ2E0AKmAPChYaPyJMaiuTLWBX6liN1Rx99dKX86KijjqrqJ+22225VYqyq54UKjQ3EEXMmwMMbb7zxbTfnO0F2ZuI3gNCOMjkfuLDzPnO6RhcCEESfLrjggmoXJ/uo/IdlTsDj2GOPrcAW8CqHzaqHJUlRKX8Dc9tss00FeC7//e9jzwcfjP9+9lk8tsACMfvf/x5fTzppBZAAviqKN9NMFcCRFiMnz2oJ8CWqBizKewN8LFn+b7rpYuUNNoinunaNW599NpY75ZQ4ctVVK2CJ2PWXX3wxPn3hhZjippvi+SOPjMd32y1Wt1Fil11iyTfeiC4DAZr2A1x2rKqxZ3PHcccdV4E1QA0ZJ+NljAAvQIszF2Vzzqz+rrXWWi3rDQJ1gHC2LUmkT58BRgXvBRnWWGONqlCzI9aAL4WUFW2+/PLLq7EYkoyoAyi62BHJacTLQsNP7KnyPcWujiaRuiWWWGLQ72Zlcj4KFRqbiBPgZDkWCeQcZqGRTxwyoCJiArD5vZky8oREZkRPRoeTB4AoS4HAE9BiOTGXWZPkkgFDTo0AgIA5AE+ump2oljSVEwFa3r711njvuutCz3667LJx8RJLxFLvvltFigAl8kk2ASiRL/llQJIVEyBSNNMk28RE/hnwI2cNwLvj8cejzxdfxMavvRbjrLlmdFtzzfj0hhtiwiefjGf++9/Y5KuvwoLmR/JKI2Lzgb//74ILYtr55ouu665btQG4O+ecc6ronh9L59oD7AFBIt3+t0QLYIrQ6BtgBszaaduugDRwixIUus6z5QK6125ZJPJpAqb/5MAPfiBRdrz2brrcTua01/gBGu3INbkc3NHO7EIdk7HEc7I7PEWqC43ASF2hQmNC/a/hieDkEh9ifERfCo1cEsVKEIT3xqAdJRAAEEaXPF5LxpYslf1wwk4zoNMfkTSyBJSK4vnbUiIAA2zpj92m/zviiOh+3XXVfc+vuGIseP31Metccw06acHE+tRTT60imooD51Kr5wJXhx9+eBVV8rvNFpZTASiFjj1jwUUXjS932y3uX2MNWesx6zXXxMvnnReNRx+Nvl99FbNOOGG8oB1LLhkzbbJJTPHvf8eHBx8cT3XpEi889VQ8ffLJ8cI991SRFv1VVkQOH0AKeHnPH/7wh2p5VIQOEAW0AHLL0YCX5ePcZNGK8sQQgYPMsRRRwz8ltRIIJHBsRXbgKoTckSwZAyVa8KgjPfcMoHVszQOzFNpRhHxEUb0MzpiWFzumUAF1YxlJxlZZ3qz9u0giJXKWhsfZm/nXC6fa0WfWX2jkLr1mvlLdkbcDfqObUxDFyYlAK7KbFABR+kkkkkw5/QFIEEkScRRV63H11XH9IYfEspZR5p033t9ii/j4s88qmTziiCMq0CSHTrkPS4YcJAAn2vfnP/+5AnyWfkXs8HGVVVap8tt++9vfVmVJvAvA6j7xxPHfDTaI144+Oub4yU/ixa22itf+8peY8ze/iXefeioe2mefGHfTTWPhPfaIS/v2jb99/HE8tvrqMWDSSWNNR5VdfXVM1rt3BRrl3TkT9oQTTqg2WAAIolkij/RGFM3/xg4AkzMomglQDYlE4izB0mf/y9ur18az2UJUt91OyiHVzBOFNxZ+8LgVAX3eY/zwflQQ+z0qN4BYQh8Vu8npa+Ynt9shPabTyy+/PMTi2cCtXNSRQQXUjUXE+Jg9U5rLLrusWg76rkWZGHCAbEg5Mh2RZHUz/CR5XmPrDH10IZESeWIdgTqGsL7UKjKlvMa3TQAFhyh/qxX4J5NqwlkypJ9AljNXRbhErkSWnc4wRa9e8cKZZ8Z8ljpF/LbdNlXkuCEAAMEkSURBVPq++261xKmWm/66jnyKqojuAYtA01577VXVu9t2222rCBVeyleTyydCZqeqNuAt2QZixh1vvLhFbt4550S/NdaIR6aeOlbYYIN4vU+fqi94rb2ADND2swMOiHX/+teYePnlg3a99e9/x9N//3vcfM01VaRSBA1QleMnqga8KU6vhAtQBnxZfhaBA5JE0zuyTyJ97tdfOXj6IAraTOxdu0lcR6AOQAamAUXvas7fa7YH7IDl31FBxmpITp/cDU2R5yGR5+TS9qgEdSZxecLJyKR+/fpV8jiqSB/t0O6IbIoaWT6lgLqxiBhWhtSMX+Iwp2F2Lnr3Xdn2zwDbZciBALmdpSxfUs/zKJslRi2oAyZaFSDOciZ1yhMORiaZILSLBAFXImMixHIA5RhL0pfHxpkgkTTyBJCQL0n+9JFcZZ5ZvzvvjP+ddVaQunn33TfG3XDDmLFnz8q5Az82GCD3A0XAiiVYPNt1112rCBjwZmNGko0EgIFTK9QWZRuAYMuefoBBjvWagaDMtSKAjg0Dqn1OnwBAbQZsxp1kknhhvfVipbXWiinHGSe6v/NOvHTJJfHxE09U/fB+9yBOC5DlwCzDGr86KBOtA2jbkTw47QXYtGfddddteZ1JXLsoG7DWqggyAlxFFC0dA5nkqNU45xm9rs08sJFNJgnGuaMVB/yVpzm88p+7zkeFjdPWPCVE/7Lo9cikJ598skM5G9EEIJO55iNUk+gzAK3vI2OjVwF1YwkxNIxpbv+nMJYugDuG30xXPk07Qfu2iREbEec9MoJmgpaYOqpI347wkAHPNjH8HB/D145GVDRURKSdAxrbifPmgBHH2eqkgOZIXbu8OoaSLHHGw0t5lFWrKA7jDdBxUnLEOEbLj/LMRMQAO8DLMVyWRQEvS5BKftg1CtDp9w/nmSceO/746N1oxHobbxwvbLNNtUxK5oBBupy8IY+Ah2VcAMkzgC2RgXrpD+Q7GyTov80JQKTcOvwBVEXB9EE9OrZCzpg+AEi55Gh5UhuPOeaYSjaBP9HFadZaKz7eYINYfeqpY5PPPosJTjghet5xRwUsgVtRRbwDSr2fLtnRWyeRtyGBOjzQN3X02iXU5/NbEcBAlpqdp8/IiImvMcELgLTVcj4wmnI3KvI4tdUY67OdvO1OzaAPgPnwLuMBc4DxyF7VIRu5ASaJrR0Rejokmz799NOPMtsqWk832+V65vF27MbIALSdBnUSYFv9MF6qRMvnKpWiO6/Ewwu2ABhJ1s27yfwtidqSjyiH4qeczehWUFfCuJ/h5SMl4Yw4KUa7szOhej4dZ8KJ5q63Vs9iqMyWh5c8W/L8d3GnLacFyNVl1xg2G7y6c2239MYpW5L0P0AxvESGLM81n24AjNhZaXkTiKmfQSpnjgwBenROv7RTjhnwIUIFiACKC801Vww4+OB464svYtIZZ4yu//hHPPv885U9ALjsos08Lnyi5/53rBhnDByarHFYgGRdnlwruvXLX/6yOhrMNZZxyazoFDDAyao35x3p1AE6IFRplV/96lfV0uuhhx5aRfukdIiEe+7311ornthggxhvscVi+a+/jkdOOCEmuvfeWHqppSqQJLfVc+iQyKR7tCOjsMAUXrWLNAF1dMtxZVkmpRXhLxCZJ5LUnatizt7dvCzO4eKRviATNyVUmkFmgtuUTWB7ZOfVifDinwgpWWmXSgLUab9rRaOGlchRgoyRCXzqS69Zi3Jk59W9//77lYzn7utRQcaPTWg3YTGpM27tViRGOaj7/e9/Xx0HJofjsMMOq378TvEPPvjgKq/DDGx02ZU2OhNgRWElNcuBG1Zi5Cl1R8WfGSWOYOutt67CvpZkRycyIx/e/CiRgCxdACQwIJ2dBcpRoWx4ythJNLekxuC3ciyiFsDY8M5yOQp6M6oSsb8Nagew62CNwcP7Vnl1WfKkTnkd+QEYJN+vv/76lR2yNDq8E0zPAxbIFvn0PMuZxsnSInnjOMhHM7GB5IleZqQJQCAz8syWWGihWOPee+O8fv1inemmi4m23jpuu+ee6n1qrG233XYVWAF+9FFb8IYD9sNpAHWcCIdcd1rAKGBJD7QxIzGALqCIX5ZwRUq0U7v0yYYKAMdnWaKFrTBhF+kDUgE13xuzCSabLMb52c+i2+GHx+pdusQJTz8dr114YRVJ1C5g2HXeJ3ohJ9BuXYWIRQ9FUJonc/ohcV+EhQ4Cdca+o92ZzUuwZO26666rgLW8reYdsACv5VTRTUvRQDTwlyVUWkXuETDeLmrvfhtHhpf0WV4iEokzzq2Ab4I/O6D5kWEFZLkk6p0jcwk2QR2dMKEgj6KjHQH24aXevXtXExjvzbSAkUnklBzSbzrbbH/ok/6zW6MNqFN8WG4Go6FBfsw41fg55ZRTqoEj+HvvvfcIb+zYQpyAQRc1M1N15iLQNazRM0ZJNG5o6id5jyUZyjsi1vNHxJIpY8jhcV7Dk/tHaesnPzCIQ0pYrVPWpsMj4MIMkvHnlBn7VgZPsjoF5aiHhxhloA446OiYrDGV8E9EX82y5uWkzKfjtDliMtUM6txjXAArjjPBOofgVAXjoKSGQrSZszO8uZD0kbOXukAuLUGK/HiuTQj0jdFujjImAS0AhQ0EJm6K4/qd7gM2W91zT3zy8ssx1wQTxAs//WkstfLKVfSPs8YPgEOESZRBdF0/8+QD33s2PgF49Kee6E6eyH8SufK8rPemDxwroEVnROEASIDOCRNsAzsBXIm0mdycddZZVQRcG+ma66s29u8fjyy8cPS84IIYv0uXWO+55+LZ886LOWafvYqacmKWLUUEAUlAi80DInz317/+tQKOCbzwBtAz0bU0rM2tImR1EKcd9eUueq+PdIo81B06nuKB9xtDOm5STN6a5c47gTrjzD4YaxOLVnbK+HjP8NpV46jtyPvwwDg0E30hn/pA7o1nZ98NWJnk4x2ZGpmbJfAciGMrAS1YwdiKpDVHWdHQ+EOTi47a/OKLL1ayA/xmjuvIJH1kc6RE+L+5bE9uutHv0QbU2TovWlfP3zBLOvHEE6toHUVxViAFLvT/ibJxRDYuUFBRM0uilkwZ6WEtz5D5MXUDPiQiUCMi+Z8AA6bDqywp6JzT8Gyrz/wiRhpfOB3GeGjLkeTSq/7YcbjTTjtVxobj85xWSxyMIQdlCWxYibMgA7l7cngB4uhIcoPIO/AhSlOP5Ceow0uTQ3xodq54xADmkp7dbHZaiiapDycy1Bwta3b0naXMueLATZroC6dk9p+79hIIkLn6bjZggFPKc7I5F3me2s8JLfzee/HCnXfG0+OOGxueckossNJKFfBzOo+8N4AKkOW4AaLcCEEWyYilae+ly9rgGs4dSPI3Ryn6hjxHTh5AbEIOmIk8eg7gybEDVe4XiWOn9NUER3v23HPPatOFvvjbd/rrPnrmOyDqyw03VGG5KscywXPPxaTPPFOBOCk59ErUTtkTfPUszlZUFWDEV4DfEjVe4bF7cmMMcFZ3kGyPyGw6fsDE7/Q0Aw25uUQky7OTtIO+4SX++jE29L/5PRkNY6PYbsTGNEd9PCPvH9KKA8DaUbqNd9Y3vPCpuXJQf58InlUy/QbG6VBzmsCQiMx6l7xPcjOyJpRkJcsR0X0ykxOzVoBdn5ToGRLIFHlul2bx0UcfVUvYxpqetAPjI5L4L7Ktv46/k3NbJ7Y9V9RGFtDsMiyNbhUGz4OlEUM4OpQaGB2IkWHwODKCa0Zl+YMRrs/uhzW3ICOjzcVOh0TW9EWjhofMqC3/DO/OIspNsYcXaHJUZuUiCWkwOEcgYWgI/zlDBs5MkuFlqMm8JSAAoh5Op5CcCefRUSHVIZEZPqCSieSeNbodfzU8xDAzrmamJh8bbbRRBQrsiLT0kxsgOHLf42lGRhBbAvAAhAA0MMJpc3Z0iSy32iwBUAxP2YBc7gSOjJFNR5yRpV0gQSSJg6Z/coQyT8i7TWq10/IiRws00BeyOe6rr8b6Tz4ZZ0fE3DvvHPNtskn1nU0W+EIOTPoyoRq4AdbIp80MnBSdcw1w532WNQEd7dG2+ukI7LJ2pM77nx3ynpNPPrniL73Bd04Hb+UKihBl1DNJX7Und/oa19zRWtmTrbaKac46K2T3Tf700/HyTTdVy4IAuPbqj4lgfdMEJ0cO5Pv5XsQVYM3Agf7lpo7UC200Ea7bTDaVjRXtFRFN+6p9Ps+8WPf6zrtyImh88NhEMCfXxk//chcqZ80+tQIhbIwJujHrKPri/SK17fKH84SF5sgvmQOOs//eQQbYzDzVyfFwZK1V1Ksd6Y/+0iNtwqN2GzOM47DutGUD6GvWozS+WY6lFT/ZWra7oxxjvALS/LQCyb17965kLmlUbHKhx96ZkXG4KFeL8Jbck2VknEdGbnunQR1F32WXXQZzlH43gzPjSuU2UENDf/rTn6rwNoPCEA0puZmh33333SsjBciYQVPi0Y0ILMGUYGxQ5d/gXfPun6RhrdnTbMCHligVZ9pOgYdElJuAmrEOb6Kr2SEHbEyH1QlrDwPMQNWXXSmW9g0JJFG4rGck6kMxRRQYTTlzjD05NaZJonMMD+UUCRmWWS6l5nQzh8ZB7/4eW0qo4LsokGhJknGyBIfPgBHgTA45UXwGcI2fe9kW0S3RJXlpokmcIhuUjgDvmmf0xg5oBD6GJd8xl161TbSIHGXSv8iGpH/6zNEq/QFokQdLYGbnWSxXG8kGJ13VpHvwwZju+edDFtEk3/9+9JtttspeAgyiVmRMRBjgcK/JHptB19hIEwwgzP+cFMcumV5Ujc21DI2P9ULIuQRlosJx4yuQgJd+B9xMZABrfRVhyCh3KwJs2V66xqGydY4gM5Z04M655oqPVlopwLbXXn01tp1ppqoP+sUO0k/51wnsMh+ObfejvcaaPtZLktTz2UQu3VcHR2RELiKdrEdt9RM/OXn2xVjgq//Jifvy2DLjhx943LwT3pjzT3hUrw9HdrWDXPi/IxvG5upHu40N3pNnq9dJm/i69LvarV/kjlwAc/oAEHdmGZaMmrToZxb/bncCBz2WTzo8+XT6bWJSj5yRDWOcbWb78B9IJSPtcilz7NjqVoGFFwbKyIgsVj4kvprYsQve6/0mT+wC317fhEe3Uk5G9AS+06Du7LPPrpAmg0yx/TB2PvMdooi/+93vhvgs4XNnHkrOZcTNdDChnXNkZCl7LmOKaGQC77e1pFQPn1J0n4kqGFwzQM6AslO+joiQd/bkAu+j0O2A4pBoeLaTi1xwpn/729+qdgxrkm7uVtX/PKR9WCjrfVGkXLrSplzmGRLwJH8csSgSY87wMKAAG0fJyJBzipmOxRhzBMiyVh3wDS1lOJ5xM5acsSWcVjk0YyLlEmaW5KgTvQUgjH8eK5WfAzT4z8GIkBlPzlS0Jg0k8jfnQG6aE9x9B6gMy+aTdBhy2eTPMcJsHP3MJRx/J6DiVHPHWy4v0i32SnoEPfn3NdfEen37hszX55ZZJhbYbLNKXl3HYdMBdtUGCb9ndEP0jmMTyRJZoydAlHd4H3lBlqHxrHlCTa7pBhuUtfHIM36ZRAA4/gcc9M8ksaOj2lwPeAAV9BePAEZtBig4zwMvuig+X2yxmN0qzp13xvz/+181ARV50Q/jLk2H/KdtPPbYY6tx5hTtOCYXeJoRW/0EQoB04Mnn3pdAlQzgWasNY8aSvuKPduau15xQIrwnK+TVe7I+nWen/BkHdqVuqzNHzLNd21F0ic/K9IpWEb36JolmYn/ci+dAONkDenJDiufpi7EemtWJ3CFNRtOGeUarCWUua5O5jso7tSP3AI2enf66DrIyvwx/TazhAEQv2q2CAOl40Op0kk8++aSy3fUyOB1tchlaMnHpCLTrD5+Q0Ud+xHiIppILf6d9ErVvtWt7lIM6jMnwsYRlP36H4BPpU0rLAUOik046qcpbYsQoxRlnnFEpi8TZVuRzAmzmDsVTOIYMGGxHDDCm1X9GBFEIQMDMzWz9H//4RwV0DCYnJPxPaBmsoY0UdHYJFtjIvJEkwjOkiFEaKcZvWPK3KB6DR0jNDDnZdtXYh0SeUz+9IXN/Oku5jKItImv6lsZ1SEuwZseUdfvtt68cCUMpUuN/zoUTJeeMkVkhWfc9p5dtJ4+dPcXCOCSoA4wzf0jEhqMcU0oDpTw1k88sRzTLaJ3IqsgPPnKWou7GzTiaENEJjiRrXJnpc1y+t/HA89Mp1CdYnisaiK/DkleXSzfkSvtSLhnljA4ZH58BOACBfGPtovNsAnsIdNHT/q+8Epu//HKASYsusEA8M/fcFfgDLvSt7nyyxhvwwTmlswaKXAsQ4Ql+5QYjZFJgAlnfvJRRjgRO2ily4Cfz5Dh2n+sXx57Ronb5rbmMZWzYXv5AG9k8fKMHnOdrTq2Yd96wiDrt7bdH73//uypsDFxZ1bHkyYaK2nFy+LnjjjsOWp7i0Olggjpgx3vZf78D2yZheMz+OqWDQ22uh4cy+sW+6jM+Ze5aLnUaL8815iYN+T0ZMv746n+pNFmjUJRWYAHv/G8MOprcWZbnF4xnK5uU5UVakXZLdzHhM2Z0ZrPNNqv8C7ulLcbbsW3GIfnWjlyjf8lvv4twtirknFEm/razk1fjisd0wzgkv+tBhQRBcjyBVzgAsY2topq59Go88Bxv6gGRpwemJzTzz8+wnnGrH/rQLm2JnNBFOqptxgVv2Qh+hB3IiSt+ep5+tsur84xh8c/DXHwYw4Sj/eRMsTNkVkX5zRAHNaZLl+rvNNTNZDmFg7D8SgENuN24HTk/O9YIav4wSEPjpChtR0uTlM+MiYBzPkqFMDIULZOjMyeGEA9NiLUzoI6geH/zeZN26mWORTsiKIwLJfacVkJOadrlypkVmh2ZQTmWSDuGtcYcRa5HFob1SC4KxbDlkU31WlSpSK3AonFUXJYDwf+cnQMXDCjZZsgosndQQEbHrr66gTLOloDbRVpbjb+ogmdwuACiZ3NMJgeWxzmNUXHI9vASo8vRtpMTho6MZKJ5nbK0hu9Nhhg+vFAfjVGrpyTgNTkzTsbLeDKgeF6f9ZNdPDUmdLizaQ259Oo+QBJwyk08uYSZwBGYofOZDqIf2pXRon9ddll8+NRTMXnv3vG/L7+s2j7+LrvEPPPOW0Ukdthhh0qeONi6Hcsi2oCc9zL+ZJFjzSR97ciZP/IMOYccY9qujPYl0QUTUcvhABwApP0mZWQNEB4SqMMPYwRQZN06eXIclU0VxgGodd0zX30VF8wxR9xjCfGNN+LFO+4YVDsOb01eBACMI7tJB9gm+seu4m+CE99rLxkhK0j/RUrpvr4Zs1aRMjJmXPEj/VVGY+u8ybIzbFBO3O36ZZe1g30yvpn7mbuFPcfETl/wrZWj5uTxhs/UFu9o9jEZsW9HZIJdJmuu87c2GEOyx/YPzTKsz4HAjIglZV5eM2UuJh8KqHQm+o0feSRePYpa3wzF5ho3403HkoxFTmDq1Dx29clWq++TtGNYU3zIDh5ocytsQBeMAzuHX2RF3/1PZ02AMr3MM4Bv/WqO2NJDGMhKZkeyMMJAHcNjmZXxAMDMuOo/Q0uMgmdldC+po+r9FAvD3EfpzfAs8x555JFt32NHLkOQP+0SJT3T8z3XTIxh4VS9D/hsnvUANBQXIGE0W5U08Lxcfh2aWjwZim2niPU2tMqlY2wsiQypgC2FTPDY7ogdzxeRagYV2kZgGZCcceZW+HY7i7SrHUDO3WVJw7JZIp24fmkfQ2V8ONCM0jDCzTNjsmC5HBjPGTuAwhgw5vKOEEfHmAF/lJHRoZx1MOreNEzNpE120zZHifNYN8QZaQ9j7LkAJYBHsQFITtN4aNfoduoEedDHurEkNxkBQhwFUNysf/pt/MgSIMWI0yfGLMEGueLEMgfU54yrZ4rWGYt6ErR25BIP/hqzztTCyhpvnJ5oEkqQw+nTU22hQzkzJ2v4AGBYViFXPaeeOlbu0ydWfvvt2D4iVt5ww9jz/vvjJ5tvXkW3AF4RYLxj4OtO2LPZQvbIeO+3337VO9kTMpanZtQdF36zCT7L3djNkyZRHvJu8kIn8J/MWc5zX4Jw/G/HM+NFX/xoYxbn1j6Akj7rP38AQP1gp53iH/vvH+vbOfr883H3NddUk2COjo4Bt3horE3C2SP2V5uMdzo9/McL782UE06aHnmnKB9dpTfen4ED94iC44WJV/KjmTfZN8vQwBF+4oMJBPBNlmy64PcADWPAzojCGEd9co32Ne96RIAuxw7M4Fmz7a2fqtIR0SN8qZfqMDEQ8MALcihyTSZNEFuRdvMV9ZwzlLv/66tLfje+2TbRUPLVyk/hX7P9Ns70s34UIKrn1dErtq3VCh+eN0fHcuk1iezmatGAAQOq8Wm1eXB48upS39qlLZlseCdgrK+5+147yaOUCTZK2/ESr3NXPzKmeOCYQfJNnprHZ6SAOjMxPwYZ6iak9Z+RSVmU9Mwzz6ycheN4DjzwwGrZth1hMiNc/0mi9NC95FpOkzPgJDCTcTAblP/B0TBWcuUYWQphtkRhOjqYN2fJndkEwfi0ymXRd/2mIJSA0NRrsiHt0db8vh0xoISKgTPDaQ5v+5zQMlbNuQoEm7HAD8vsFIjhFi1pd/6iXJl6SYEkxpYBpdycGF4a385GVrKuEwUCJjj8PKolgRwDqE8JLimXPli+YYQoYO5O0kdGKHf+pWEXnaac+kyuGL866OVQW/VT+yi8e5uBbiZ04zP9EZHxbg6RkSY7JlB231pGBl5Hp3w7PNBmxthMNQ09oEVHMxmfvmh/80YoDoNzZfiMH6CRmx44D7P73B1LTr2LTvmfI/B5nqOYkdh6vcKszdYqLwdoaRWNNhYMN3nOUkH1yWbuygM8RHGzeK/cYDbCmO6z6aaxm1Mcnn8+phh33Bh3n33ih5deGhNNNlkF3uid3a4ACNkA6tyX/KEPJgLApLQAfaXX+pt5duQzl1XJMNvBSYoE5YQsVwuQvvrMpIdjYwPIPJnVfhM09+t7RgNbTcb0l25l6RT34S/gI3UAaHQaBYeVu1b77b13bP+zn4W9fmu88068d9tt8XW/fpWuu9d7gCWgGOClz+wPAANAeJY+AaDNNsS4GBOk7Ww4OyKPETAXRdZPdo1TxofcdZgbaYAhQAzfyWw+wzjhu/alfcsJBTvAnwAcuQrk/yzo3Lzsr192FZNH7/Ds+lGGzVHVVqS/9AHP+a9cBfLDfrBn/AS+6QNb1gzO9YWceUbzWcqZb1gvSUbvmqNnfECr1Rmg5Ljjjhvss6yJ2ir4kSBLxJautZqw0mG8T9tSX3pNoh/04f3336/AXbvVw+GpsJCgFO5pBplkyHh7vnE1Nn43pmTaGOAbXCFQRK+z/UAdHrMd+qj0k3e0ChSNFFAH/FjiE0GQtKtmXf1naIkwEexmB+7vOpqvE0Y0F9nlDDC7swn2cqgYVIrOmABwnEizkBsIAk0ZMZvjJoRmcgSJglDWZsqikH46A+pyt2YzMc4MKWBAISlA86BTDO3l8NrtIqY0OUugKH7PaupJjCheUO7mNf1cGnQP3suRYbjrDqlOHC3D0uoEiyxlQpBFR8kTpWx1VuPQ7KxK54/nojmUJQvW+j+NA+JILZsAZ5TRd9rD8JjdZ4QpSTt9RkEV2eZMOUcTgpwNk03vbD7eis6QoUzeR83vAGya32kMssSFPjHCxktoflh3LY9oAm44VM49a82lgculQUaU88zoRUacGeesrZbAALjJnYXkDC/db1yzWGmmHHBinGvmTOah7HSFPLrP9QAyvSFTbEVuZgISLPNmLlK2iWznjunsA13Pa9JY0w3vEFECZjz7F7/4Raw311wx56GHxoMvvBBvAEv77RdrHX989TzX6qP3mDwCQo7CIhfGW9vlhOoXu+EnZ+v02n2cNftTX8qiez5HZNm17AE5zWVNcgp84wndBW7YVOVGvCMdd9qg5jzFJHriXcYjz07VfsDaONMt+XqiR/pMtns9+WT022efmHGFFWLZLl1iMUcpHXZY/Kxbt6pNohtyBfGeHgEVdAk/6U2eVpSOFR88W1RUBKQ+oaT7uaOTDWN7LfkaQ7beteQzo3TG3/UAkckTHU9bkbpn3DI65Tn4pl/kjP1PsImnlra13fW5pK4PxiJz+/QhJyEJZIYG1JkQGDt9zKPdRAZTp/RXSoyqC2w6gM3PWWVgc9zDFpugpmw0k1UCE94ketmcn8YPkqfm1KcsIp0TM/wyVnxAPVUgKVc3RGHpaX1ZN8cY/9mCnFQZl1ZLq+mvnhlYjL8VpR53dsdpRlHJAyBvzOoTemDWNfiN6AJZ9j7907bc2Jg7sdOG03fPNXnPiXBSZzZODjOoo7TDEhJs9RwdEHpP0kl/t0uspvhZ/iAJKqcozccHDYkgZjkhDE/z7lHKII+iOQKXVaAzusSYpJNtTs7Ngrqo1ZFH7ahdaJdSMOKWgyh2s5LhCeEhGJlQ3srxJwCqh/49KyMZWVZAOxjreiInBwbAcaCe4fMEQ/jiGc3LtZYcGDlGvzmnLau1E/A8OsUsRrs7U5TRODFOxi1naLkjql7eBO/wiCFiMBhy78pjcvAMiMgSFvqTmx8YCfyyW1u01vvcx4GlAXQfftU3jegX/ijl4HtGz/uNQ5ZLYARzplkn481g13XEs7RxZFZ+H1rCO+3IPFWRFUBCH+lqTjrwkHESveBIM5pJJzL3jZF1TUYuU3Y5gkzMJnv1Gl6iBRnl40w9h965VzuME5lwnzaJfJlhG1uTOPJmTERpfv7zn1dpJSZ79EcUwnPqR0TRB45aGSaTEP2yVAIAacOv9t031n311Zj0nHPitf7944rppovx1103tjrwwMpQuy4LBgNr/meHgFNHL+KPv+kK0ESn6jN2z8iaciaZCUoyLzYL1roOQNM+NoisAy7uSYdhggg4+j8nsukoM12kXV6dz+i/dwK4CcbxWx/ZKvxjF7PchuXJvu+8E3Nvs0189NvfxnyzzhovffZZXLbLLvG900+PdRdaqLIV5AG4M7bAUgIWQIUe0F/8omOHHHJIxQM2vD4R1g+6TPdM3IBnNkA7XO97wN7/WZsSn8mWcUmwZgyMM723KgGIZQRTv9NfAYH4yIlrs3HkD8gO+5COm34k5ZFcOTFBObkZUnkgbWTnAGfy2Lyrk181yQDs2CP9ByrIjbbJTQfI6IIJp3EzKUidwyM2RnvIgfvqG3mQcdL2+ok92gcs2/joHSgn2mnfm4nsWXkAiuvnOBtzEy6gXsSVLGZUk2zl0mv9+DjtfvbZZwfVlmxHnfHHSTnx53tFfvnPtPOZXmPpPdPJtNeY5GkwJiT8kWvZEfK96667VnwlS0ByM4/ZQ2M40kGd42REKkZEbRUO0o4hM1UdVutORwgF+ulPf1rlxCX5nrO3/IuhZmk2Stg40VnqqFgvReWUCFsr55kzlNzeTanM5Oo8YSwMXB5WPrRFBoFTz26eAdV3RVGy5pA6kGDWxrgwVgxMq2RWRongJZjxf31LOAdqppZUz0VjoDgLRp1Cu4cgaxclJJTNSw4EOvvevDs0Zz2e6xrP4YA9vz5T7Igyqpe753LCkVGGBMmuy+UqRiFnxJnEm1v2GaFc0tBeDiojRb4HYBgFMkI25HPqM/CQeXUZmvcMTp+jZqzzLFJRiCwBgRjqVieC5KkA5CeNXe76xNdvm3JHXPaDTuErQ0/2EZkkZ2SFXOElHmeKABkgf1mSBtXLaXBQHDngju/NOTnpCPCTI+IgyRSj7d1HHHFENca5w1b5Bu/BU46WU+FsnYij/QCne9kXY+8aY8jusVVOPPA9Oc0q/iZSfzr22Bhw/PExzsknh3jXy8suGw/06BEHHH74oJ189NHkANjJ8WbvRHxFG9myrGsHqOFRFvZNecoCusBuArR6bmaS79kBYCUBRb12m74CI0BXTlbrTsW12t0M6jL/Cf/0H3jyHM/Hf1Ehk0ROjZziN3ueRycBGA++/np0PfTQWGb77eOqLl1iugcfjMmWWy4We+qpeOP11ys9s+TMFmXpDmMqoqf/xoWzk3Zj1QhgxFOOFSintz5jSwFOtpIDpX/GD1/IiT6yM/UyJOTBPfRY1MWKFN66l15ngWn9JutkmCzgFd1kF/U5y66wS/REG+rpSWwOnuTkOu19Rs60p7migOvwmm/RJm2kF63y0LWBTlj9MFmhO8ZFX9V4BMKNhcCEIAqZziAG2TBW+opPACH9xNN6XjLZpNe5SsbOsrF4CICxue4jL83F9pPoWwYQXJebFHPcpe54HnCt7JHxIB+5dKmNuQqUE/upBp4j3Y5anQiC/2S3Ha5h49Of5xndaef1gXwY0zx7PCdEbJn+AIR4kXiBbafzZKJeaL1OAhz1icBIA3VmBoycRpr5qURd/+kMyYljTM24MopiWSHRLibUjQrBYKAMJIHaY489KoC3//77x4gijtoAEc48RaCeWMkIE2RtMWAMhDYyOvVduznr0l6zoKyl1Y7qIeHmYqqcYtZyoyzKwFg6qgug2Za2WEpxv3a22sWUdYiUAMglqtwSniCwPqPKGWUuZRJu1xNsiiGJP5ek86zIOg8oGSPLECXwqgM6Y+65jFvOxuXj+DxnuUNT/4jB0+56xDZ30tajkpwp3iX4S2CSSdSZ18HYU37gQumdBBXa5VpOwnjrD+OTIAtfGHf9xn/GnWLqI+PE2TIe6awZCVEmzlffRVTqS+Gex0CILLjWT9Yj62hnWz0HpRWRRYazeam4M0QWm/No5WuS1QTyGRnzPrNxgC+XS42d6/SvvsSTy5soJzIcpGubd6+n3fA/Gcyor/vwHb/x2tIa/iZPGNqsG5XOiIMzxsaNUxRh1hdGGxjjDNkE4NTkwHIp/m26zDLxuwUXjKkeeih6jTdezP/738fNk0wSCy688GDLQBwnWdXXHH/yRcfM5AFPE1w84pjIXwItMkG2m3fvsRsJmOrEAdExcqBvrVZXgC5tSrlsvp+jac7vzUh/jpNxNCZ+B2z0T2kT5J3G1rPZGoAL30W9npP/uu66Mf3228ftc88dAz75JCY69tiY5YYb4pEbb6wcPZnRN3zxniwBw8b4+dnPfla1kV3he0TsTKD0C9/0gTwYd/bNeeQmemwffWSbyQ17kPmursOTdPxsHZkhf+RTOxKoZGQrZTR3DbMHAKH+kn2TAc6+ngONV5nQj3dkMe1uRgDrEXokQuS53pO5op7JxrSKPJls4CGfStdNfvAzj7zz3izvYozqQCd9EP9nEgpg5ga0fJd7gcP0e8YEr+gP3pNjvDJGrWoH8im+p2c5aSWLQKjPsr4lnKGmoeANXTRW8le9TxqFiTVg53njjjvuEFOxmk+W0OY847hVmpTxyMmp9umLMebXtF+bjAMZ9372HI+Mkx+f4xUZwJNc3bJ6A8ukH64T2ch0iZEO6jRMSJtj0cF6uZDmsxeHhix7ZPJ/845Og2f2VSezCs4+83YsWwzNQfZDQxy0wTULMiMgyIw4IJtLogbB4FIIgyt6SNAZeQPDUeUSiQEHEAxsR3l1eYyYnCMgibNkCCB1YE2I3CBrG2ND+QlmzhTwwrXQv8gGvlAkDrYu4J7BSDF0IpGuy5mXWZ3316N0WSsLWARE8AUfgDF9pBiMQUbuvEtOQzpOioYP+JTLmplc6znZByDJhhTPdS1l4RDIBMPbETjJvB5K1LwknRHIdPwI/ziHnDhkHgs+kCNO0jMtX+CP8bVMLzqtLWa+gBYnwjiqnQg86Kt2ckacL8OmH56dFdNdT+HpUC4vkzH9NtsXeQYijHdGPPUBr/AD0NQ+/Car9ar2ddJnhlYUo1UZF+NKXjj9Ya0Qrz9kw/iSM0BDe/AAIKLLuUHC54AcY0YH8nzNeo3CehHYnEjUc2/Jc31XaxJe5u48vM8yNtqWYIlz5GR8nhM0jh1AyChMFjQG1MiyyREA4nn6w0Ey3Bw1vhovz3r1iSfiutVXj7v79o0bJ5gg3vv1r6PXYotV/cnC1Egbs5BuAtn65C8T/QGYzPupR99yht+8YzJLTTRHQfDM2JAFtroV4W3mPNXP8kaWjfJw+rr+1XeMkmGynQDQeAKr2pLgL3Pu2B3vSCDFyQEpK2+wQcxz9tlx1Q47xOPdu8f2r74ab594Yly9+ebxw7nminvvvHPQSS6W4dhfvPIMwEgeFh3JkzyyAHHmNrmGvgOnJmz8i7aSO2eLGgdjQH8tGRpbUThRITaYDEj8p/dsMV6deuqpFRBiazNftw7q8J4v9L3JHrnNc4DZP/3QhswB1Z9qt/TA1QPX5G7g9BlsIf7iIZ5nRI+9zA0wzcQnAbrk2fv0Bx+0KQMRSfVAgncBSFkXUfBFLqLrgWYgMSdtfEOeAEHPvA8vvRO/fJ5gqE7eb8xyt7++ZXTT34ISzRM4vkm/RWgBIn4SWHUdWeWnH3300QqEtrONCN/xg+6430RKn4ydFIBmSgCcRbxRbgyFP+ilnzz2C9/y/GT2g1+iK+SU/HqG/rFdmQfbvPFCDiSfPCyF0zsN6ghkRz9jCrUCCoSdgmEwQQYECBpgx0kaIEaJsTSDYBgIK+WVMG+G6nsOy8BRVLMMgKYdqPMuyiQ6xXH4MSPJOoAZfqW8ojjpDIBbYJAgiyQxMiJ4hA8gyfIZ9d2rKZRmAIRf9AKQ4Nw5HPckMCdMdlHhEzACrLmOQWFYKAEDnuee6iewLcLAyLjPe8xyMmLC0Gf00PMZDv1iaBKQyafRJ3znFPGNI00j0pwnqE8+831zcmzmmuShznmIOSfB0BsX/c7lF7NDoBqIo4R5SLo2Gm8GTLv8AEP47N3GkOPCB/8zZJyCtlFuII3hMHack7HOJQOGKXOY/G6MPZdBByw4DD/akEnI+Mup1Xeo1eXa52bVIiIcZ32zC+OPn/rjWQxxuyOLhjZKxwB5J3lneBOI0hdjkDkleAkMkXe8xDdyAQBlrhkiYym/yW/gwGet6jZlEe3MrQIas5iz5zLiWZ+MbLlGnzmUjHjQEz8cGnklMxltJascubHhcMi9++b74otY/qGH4t2PP45fzTFHTLTDDvHwBx9UKxmAlPHOcgVZHNs7gLhM/0hQpw0cJ7BMlzjQ+u6+3MVad7714tWtyPiTpVbJ8EmATm4uqpP+43vu3EvKscrdoMY362sCUtmWPOMTD+gdvpnkAAXaTOY5dk7tRbUhd9opHtxpp5h2jTVi66+/jtsvuiimOv30uP/SS+PolVeOxy+8MN66++6Yrl+/eOGJJyoZA+S1h901yaLrJuP8EIfIJhs3TpbDzRQINk6bgGbL83k8HdnEKzaB/LKPVg+kCekX2QYi2Uz2j80CqHNFITehIc9xLZvAp7hHBAqYMC78Se7E9F7/42tu/nAv+y8ShehWynm9DAsZZ6vIU6tzWfWTHSV/5JZvMd50UyCBPrjfWOCffpnwkW+gnK3MaDGbRBbY/NwcSG7ZTUALb13rfewpO8XG1PNSkfEAMDPimSdNsEvGkdwBaWSoXlolV7vYcrz3k/fmBHqbbbapbApAiXfsLR0jK8aUvdNv/ddvY+E5UgS0W7+afUyWOKqDOpQ1+7yDbmbdRRMHfoyNxB9+KXfGsgf181+9m+zVl7X5JTLFHgzLuerDXHx4TKfmjQ25LMnZEAICzUgRDkIE2HGqBieXCwk/plsCJsSMA4GH/hlev3NCBNcgNoM6Ck9RGLr6TDtr7GTJC8JMIRkQS7kUn4BSMH9rn+8T8DHElpI427pDpyhZ5VrfOGKCDMgwGoACvng+cMpQa6PZE74QNN9xThSTUxTx0C/PZDTxzQwsl87d5zOROALvOg5K2zO6U480UMys6s7IaBOjyFhTKsv1yUdt4Xj1y3ObNxp4Zh4cDXgDwfrEYFK4PFuTo3UtB57LRbk71TvN3hl3BhtAIAuAG9nwGaWm+KJ5jEYeXaUfcrEAdf0wZtrsHbmZxXXebQzyNAugIPP79DdlJXnnnoxYM6RZMoVRFFVwL8egbd7tOb7TZo6OAdJGTshEgONrV46mFWVCNMOPP3kmKSCQ9f5EnPSDXGYODEfGwGUejTHGI32rlyBwf856syZXHrhe3xWXlGc/5qQj70mgwhkbI+/AC1FnzpDj13Y6lrt2M0dJGy3XkT1ywkhb8vH8RSTqX3hhzGLMbOqZY45Y9r774rPu3av+k3NOoh4hzk1B5KS+w5GTzzwc79UW91vWqlPmfqZtYPhzt3a7Iwg9q6OEcYQn7E8r0h7vyhSYjPTnObb4B9SRQQ4yKxP42zXa6v34moW99ZWckFkO1VjoAxmZQhmZU0+NOc8+O3609NLRfcopY2M7Fvv3jx79+sXqzz0XX/7pT/H5WWfFauedF6+deWbc8s9/VhMo/PUuTlmbRdZEtk08tIt+0E38Zif8sA14DSgYd3Yky3XIN2PPtFG7yQs+0xPyBEDRdzpgTLPaQZJ+4h/bmRFgz2HryEGWe6lHpL1fP/DSxMJ73MMOartxYjPq9dkQkEfem/PqMv/Su9k+79bGPHuZbcjUjsMPP7wCeMZVZJp9YWcBSW1wv3eLZOGb5+TmutzsQN75MzqWoCUjTsjngBZ7msfh8aHsr+cD2Qma2C86WU/BwUcrTNqI/3Y083OZbuTZ8803X9V+bbQZKnMD03/gnc9F+jKnVJv9bzLAtshtrfvqnFCxl7mpMnEA+Up7yC67Fm9yE6Fn83/G1fu1FR8TmOeGy/oKFzvJjnheq3OARwioM5vL2Roj5+92P2MK1XP1MFPkRXSDs8+Co4SVgidwyppbeJEnRzD+BNFgWYoDYnI9PSNHlJthqwNJ4ILBN5Nm4Nxb30yRx6bksguFyDpICi77ztJg1mfz/rpRobR5KkRGPbSLwAB0nsm46AOBZlAYeAKnXQAsBaZU2koJtSF3eFEuRrN+XiCF8k7P4ERz2cVMBE9zCZYB0C+OC7CsF63Ocgtmk56fu5sYqMyhETHBsyxc7H3taiTmEmwm1FMyoE3b9BM451gyPzJ38+GbWatoo6gt3rsvZ+MMY9YxzM0TlBMPOQxGMfPLkGv0WwSHcQJ6LBfRJ+8jY7/85S8rvhpjzyYbgLP+KemAH4yX55JX7QeqjT++upYRACQZNu8jE5yD2aNNR5k7qZ8iW+QSYMWDXDKtU6vyMgnGjJVx1qf6kWmIfBkfcmT8/M+IAuH6bdyzIGku1TGkZvDa4X46xCkaI7KT57tycPVdd3STvIiIcsa+r0e5siyRsSPnwG2WYEldy1pauelJX9KBcgCZc9b/o4/i7r32imUfeCCkNndZYYXotummMWBgeaasP5YlVjwXD/MIIX2oG2rvrEfS8BJIbd4pmGckoyxqSjaN4fBSu0ge20c+0lbmAfcZ2Sa7uREpj92qA9Ak/aZfdFV0FtA3BvpoTNgHEySbIy648ML4h7ImF14YG7z2Wsxw9NHRb5FFYtJFF41n55gj1p999hA3Wu+DD+KPr7wSPR96KCY8/fTYbIYZKh2hO95N3ultRgP1gxyxXeyacabj2kxu2A/XkB25k+wMG6N/7DZ5Zw+y4DVZzui970Wqcokxl/PtkjZW2mSZzjNMdMhEloQh/wl6ybrJFz3OXd5sCoCK53hMf1JuyYRnAF7a2wzqctmQfdbOjAbl52RV+4yDaCf+eRb903a2m90W2SK/7JEosmVq0blcnmWP6zl5dqzyo3SHz1HqDGCy8oBXNj+wm/TAqgiesKc5OQBwtIncAGPpF9lxPtq4aV+WPKL72sEv9+7du/o8c0GNn74BsGxunvDE3mivMXUte0QO2eA81cRE2+QeH7IAep7w4nv5boAXe+8afNAG/pkdM4b4nn6Mncc3PrhuK7U3S4KRBe8E6hMEdlqfh+Yis9RcLjCw/m73MyaCujxHD2MJTH0mBLQkuOJIGCQDR4nzsHIzAWFjA25gcpdlhsNzezPKvB5gyT2Zx8cIiY4l5ZJGJvJTxCxnQQE4aoKURXCbEX0mVfvcriXOhOJnfTnEsHA4HLPcRoZa+82AGHo84TwYY0pN4HyeRoKgEr5MANVm91Aaxgmw1D/90naK5Lrc7cWouDZ3SiYxNN4FsFAshoBsMRxZWw9IMMum0PrVPHtNyvMiMzdQf3KLvpmpPniWfplVej5FN7v1TvmjueTHyHNkuSkC7/CXEeOsvIsBFDZnKOoRFIYYSABgyU0WieZkPBcPMu8MkRFGnNM+7LDDqqUYMgv04aXftY1BAATISOZv6Ju2aF8eRQQAAG9kFC+A28ybInu5TFav2YbMqptrFXIO2upzRpORAtDrm3sYPZMZUUD1HbXVGKn6b8zwnhGlR/ikT3jB+OapJfpDJhnjzI30GVnEyzrYBNo8k8wBDJmfk2TCSbYzEZ5Ty+gwueCE6b4+4CHe40PuXEPPPfhg9Lj44njtoYeq80xfWn31mGWPPWLqaaapIqqAONkBTug2oMKmaAcZIl+AbOZzamPzLnx6y/DXKTdJJBlr44lvzeWYRiTRV84yI6QZbeSc8MT7s3hsvb5mfTMFYofIpGuAJnLDfuWkjBNjC5SRMhnKHd/s1kaW01ZcMR7+4ouYc9dd48Hjj49FTz89xrnnnqqg8/bjjRd3vvhivLzSSvHZxhvH+ANP5CHz2sBW+jH+VVmVvn0r+XNNRtPIVJ7e4R7jb2zS1mp7RtDIFmfu+pSVX//615XsGRNjnCcC0CmTq1z94DvJFRCZUXdj6znsZi5pk/ck/MCvzAWmM8AjuyWlg356fuZ010mb3ce+mehlRYF6JQXv5/+Mc6bYAG54hD+K++s3X0FftJ/NZ9MFB/gKPDG2dIUu6Q8bDfyRf5+5RpsB5lzO1V88Zx/wBngVbWM/6QX9894MeBiTPJuW/WNjswSXdtPh5557rhrjDIq0I8/WB1FK+kqu8Yrs4jH/BHiyM2yPNBbyjU8ieSK4uVnGxIS8ZgBEP/icLDCMb/xuFlf3jtwRXx9nE2t2k66zdcapXc3e4QZ1lh2yEX7v6GdMA3UiHxwIp8TRia7VZ64GBNKXVEtwADhCatANKIEiSBQ9c6k4bgKRx/5k1IFAMoiUTDV5QsEIUJIMi+dyTR7/kuv4gB+DY+ZG6bWDQhIQYKfVKRQEiPJSWkAknRmiePpG+HO2TJBEUcxavRNY0B5GHZ+0EY/y0PA8RosR0CdKkYcU6yeFzOLGDAbect4JYjhZ/2e1fEoBxPmc0lEcfBAlxP/Mg6DwnLh35iHbuYTVTMYS3xkcAChPcsAPP4AOvhqP3OHonRxr3eFmhFYkzu+ek/lSDKC+ckpZ6gFY8t4ESOk4GHu85OhFL/BXezgHPMolzOaSJfjkxzh5DiPOyAGR2SdgC6/IqRmu/uSOWmNDzsmEsSF3ljj8jod4Q6Y4GsuODCmgYkwAlQRQ6exyOVU//Q7kkZOMpFrmFTWrH4eTgBK/8c6SD14wZJwDw6b/dJHOWZpJQ0gPyAO+4GEWX02iB8YLYPd8/a6X0PGeTIVwXX2HsXHSL2Ph3WQsc0G1s1pKev75uHfddaPL889Ht65do9cee8S8W2xR6RajnzvIvR941UY5WRyNCU5GWshDGuoh1SWr26p65MuzjUHzMYEjmsiY8crl7uRFPUKYvOQUczwyEpSUJYPIQp6hasJETvGaDPmMbLMp+E622LrcAakNdB4IWGPddePFaaeN0+aYI+Z89NGYfdFF45pxxokrnXl70UWx7nXXxfpzz13JOJ2la/gODGivSdjGzka96KJYc7LJ4k+bbBJfXnddfP7xx4Mmx67PFBj9y/b7oSPGm1zSDcuabJzIIJ0j94ApHmTBYTKCf2xb6gid0X/fmYRlQeT6ZDAjueST/nouPtEXMp11LPGpub6pcXCN97IZdNwz6ufL0kmyxPa7hi0QjNCG3AxiIim6JkqJHwAcuWVvjAvd9Az9pYfeYRyNV5byyAk8WcYrYJResGlsn+cCM3TDe7TZ2LEHng9U8buirFnYmd+iu1nCRBvefPPNQfmOzZsPEFAmYgjM4aOyaXwHGcQrY6DvxgnI0kfjJ8DgnYCqQI/ghHE0PtohGslewgHaj3ee5wdI5XvZAu/3vub8R7zyLBNbvtc44xMb2Vn6zubU5TmhlrEIIMXJcgt1onQMjEE2QAYY2OH4KBMQBAAw7nkmZDpm18u74Cwzz8rSDgDBYGQbEuUz8vVt1ZmsTCkINuFAQuQMlHYxMpxY1lmrF0KmjAywkDUnTam1i2IQUBE6Qsx4Eh6RCqF/DjlD1dqXu3fzWCDvoTS5xJVLcQTWuxMUazfBZGzy/MV0Dq7zPICUQlMgz9YWzhAwzvM+LTMzpGpMUSi/U1hKDtjlAdyMIz42n0uYS7CMHF5l7oiZJidjpm1cc6eyvjXvJnSv97gOP/GtvgkFiKfM+gOA57FBxtjYZC0xfWa4gH9y43fGIa/NM4UzxyYJLxlSxpFRBoQ81++MI97kkgrHxzEC4PhqRmpM8RwQ4IQkbZNPY+69+OIHsLJUlJXzyQXQmFEYfHM/w2hs6A4DJQpCJrWFPIiYkQeODzgj9xyGNuCvezkWfSCXlobJCZCqT5ybn4y4aWtu7sAHziZP8iBjmZDuf3KEp3hhTPUFTzjbPC4q+Yjy5ABjgAd0maMw3sZxnP/8J95ZYono/fbbscGMM8a7a64Z1778cqWTACsgqK36yTbkhJH+StzmOHMjTpby6QyoI9vNkXjPrQO9kUV4gr+ZM0kmc0drUk6WOHhyzn7V9YeM585ozyObxp5NoSuZAuCZ5JFeswP4b/zoHh023myH8WOPydi/n3kmZtxhh5j0hBPiuhlmiLXtFL7llph65ZWj57//HeN8+GHMPOWUsbmJUK9eMWXv3vH2D38Yj8vdfeqp2PWmm+KLZ5+NfrffHl/fckt0++c/bTWu2poglF7TSXKbRcoRGWJP6VlGZLOILx6QQ33L+nj0QfkuMiZq5nnkOo+/c49xrtco1WdyDUyTIbZVJAgp6ZV2mu4Ym1yqzMoFlgG1mY6LhpnsZYAm7YgJKXukHXgNuPifLaAH/JXJLNuVEyUyb1IoEmlM8pxnzzTGgIs2kNPcVAdA0QUTdPLkfUBfrg7oizZ6BjtDRvBXn0Ul2Qb3kjU2iL0TSXQucsrIk08+WfHCe/A2JyTGjx0UaDEhMWnEh6wLm6fVsLv8j+8zYoYH9BqwlINsjHymPXgFTOo7/U5+0Fn9NgkVqCDH/K6VCzIBF7DJ6acyFcG9+kFf6jurRziow1hCNTQ/YwpRMAJtYLP2k/bnDIZzECanfJRClICSuw/z9XTRvn3j+YHCk8dbZVK6mQgH717KbWZg5igKlktvAAmglmUJCA7hVsYll1wIJfDlWfIIvMtAWx7kWM0qOF/KAGBSrtxhKpqhXbnDMI8pATAJNgNKiLL8if/lOGR9KIrA6TA2+ECJOCVGtTmXR7SOU0OZkMqR57mB3pvhcv3XT0LLgFM2/dfOnKW6B1/MXAg8cICPDKlx0RdKlsvS3kVZtBdfKFS90jijpi3ul/NAkRkoAJkjMt4UFf+yhtjnl18enxx/vAzfQTtb8VTftJVC13dK6SMZYuQ5e7LF0DNawFQuUQHuGZFiiI2z5XmAGiAyPvVlXsTIMTAAqffjtzExroyr3xl9M+qMogG4ZCo3Dqitl0VmvcMs2bvx1TNtANE2/E7nwtgZm6yZBcgaRwZqr732qvhtnMgKPhs3kVhGjsP2HLKl7cbefbmzlFFjREV5tBlANBHJncHaDdwzmmQqgZ22+994kF+OD0CgE9kW44o32ut7jlRb8xQK45F5eQw9PQU26ASHwLBXBcSVlllttbjwgw9iwdlmiweOPDL++/rrlR7nEXd0L88BZdTrpxtoI/uJl2QodzOjBKhDoiyVUafm5ZuRRWSWDSJP+pvn1NaJTtBBfKBzWYTYMiQdpVP0VJsBGTaEoyNXnD8ektM8MSEdnf/pGN0nI8aF/tJb4+NdeSrIX664IvY7//x466ijotfii8fnjUb0+e9/Y59rrokeBxwQd2y8cYz74IOx0muvxc1vvBGkeclJJ43p1lknfr/PPtEwaRWVcxKCExXOPTd63XNP5YQtFZNfY57RLGPq3eyX9uSmC/LDr7Ah7ACQx955BtkD/vAU0M0SXmSUv6DTwJPnJ7F/9DJtMZ6yMaKNmbNFB0wq6WrKXp49a8ykNGhblp/KpXw2Iwuta48oo+sBTxNeNj6BRfqtPNWBHTJJ4tOMj37TXb6Unc1zvPVF20z6yIXnaAugpl0m1N4J0GWeGxuYpxzRdf7G9Wyge+S46sPEE0wQ4x91VHxw2GGx/LLLDjoa8quvvqr4yRYIZgCs8gU9UzSVLpFnk3N8YvPYTs/0njySjKwZPzzO2nZwAvvGpqkOwSd6DntUL6VEF4Bldgh2IA+WmfXnoIMOqmSADOVmE/aH/yLL5MZY+q7dCtRwg7r6Ga8ahHREVW8/fkcYN6YQ5kH/GI7qNfIIvn4xNJYJDKIBJhRV3sCcc8Z/ttkmFurdO+bp0yf2WG+9SkESYNk2nuF5M85MtnQ/AENBKavnu4fTERHxDjNWQiePiuC4V7soinb5PEP4BIHB9WxClQdbZxg+C1sCLRQyixNzNLk07J36RKEAEEaBAPvMj+d7T0b8sjZdc3K1WR2FpMwEkcMHNjguMz3v8jvFZpwYi6zjo/31sgxAM6PvXe71bI5AkUn9ZgS0FwjwLCVdMm8D4YF7GUC8ohycEQPD8Wu7H89lAHxmBquNjG4F7C+/PG7acMO4cb/9hCKjz+GHx4Cnn64UNo94IkNAij4YH+PLMGo/QGKc8V4bObRM5mdAKXVus/e3ccjTDTLpOc87NQ6+N8a5Mw5AI1tyZRgafSAvwCzwz+AY53R6HCAwa4bofVmShRMxTihllmwAUMZQFAuvtYcsZoRYwW99Ysy9x4wccMRr7QBwtAXIY7g5Z7/7zCQlx8qMmMPkLPDN7JecA2TarM+MnyinSYt2mWTkGagchDalgzOueE9GOFJL4pwmIAJIZo04bWU8tZfMaj/iOLQDX14855yYfZ994rHPP4/revSI8Y88Mr6adNLKQNePedI+OkIv/E02MgrIWSTY9b56vS5jmUd7dUSM/ZB2sY4sIivklHwnQG0GlJmLlJEP4ITzlGMI5JJj420c6GMCGJENfMQHuifyZmwzEgYcATB4Z8zoCr4aS9eRB2PhOuMKhGwkv3XppeNmcj7vvGHLm9Mzb1AM2hnFm24az62wQry19daxikLpV10Vk//ud3HAk0/G+9NPH/f06BEPffpp3H/bbTHpUUdF4/bbY7MVVqiezwblblD6aOJCbr2XXaOnbENOrv0N+JBxNiBPowDutBvgBWwzX5t9zePbEB3At8wXdr/3injlxMD/wBQ99B7LssaLjpFPO0zJDpvOticozXxe9tWkkz1hv40x25Q78HN5XTvZSO9hR9gAOkI+ADvt5tvoIL3TN+3AI9fpg9UB+WjsAX8iCCCfzXhnncnczOF3diGXtF3jvexWlS/8+ecxsTNTjzwyLjn11Oh5663x0L33Vm0lZ7mzmD77nfxkLiuQiOfGDfDTVraEP8DfzE00JuxJBkpMBn1vsoo/Nu7hGbufJ4QgQZ2sA5ggUKCE3Obz2B/vhzvIlrFhGzIyib/aOCzR+KECdQxe/lAgAITgCv/68bvP8ozGMYFSkHLZ0O9pYDlEigMIMB5ZB42zrWpgOffxgQfCXq/NheGVg3jqqUoICRClIUScoHsMkgEzQARAMqj3A1wEhVOyxEhoU2kBE7NESmP2ShABTZ8zgHYTaRcjmUUTGVFOinHNHDuCQxkBSO+idBSKgaKgjI4x9BwG66ijjqoUSqTJ/96buQ4cqH7kkhbKaFgmQmeFbE6YUaPMmWfGQBFuoM/7GRtOr17wmEKaROCDJTnC7j68xFtAQ3soImcBiBg/EU/vYTjkNfidMwUiAERGjcMFvrVf3/Af383mcnebNt36pz/FWZtsErat3D/RRPHuZ5/FZM5s3X//6LbGGjHOFVfElJNNVhlqPBX+z1p8DBuwxFF5HsWm1CYQWf8JAUqMqmdkwrzx9D/lN555lqo2axewRVbIQ+7GFt0jw8ZcxA1fGGq5gcaMs5UqoL958of+MnZ0ltFlQHIcsw+MHB4CzgAycEX+tM2YZs4UY6dt+mPMc+cq2eXsTZqyKj+e2EDAMNMFY8tgc9rkAKDLjR1kNpf+GEtynDlIjKooH7nnBNzPAZFNvNCePEWBs80CqPQS3/BM5JF8kDU6gTd4n+caf33GGTHg1FPjnkYjdppqqlj3t7+NH22wQWWQ8YicshdZBghlUn7uTjWuln1tciGrnG/moaJ62ZV21Gozxagk/CSjxp/NanUut/HVztwEVq/lleNAPwE8doj8pEwYA/zDL+9hC0T5yBzbq+9sbj6fvJIxNgyIITPuIwucMB2w2nDSlVfG/CecEH8/6aR4bJdd4pVll41nVlghXpdeM+208fSrrw4qtVFtvnn33Vh57bXj4nHGidcOPjh+OOec8akzRJ94IvossUR8/7bbYnYllJxE8PHH8fwDD8Q0H38c7z/7bPR/7rlYaIYZ4r1XXok+zz5btTlztUyq9D83WZDHlOs8fUHf2N7Mq/Y/4EiX9Rcf+F021vJfnn6RRLfJP10z6cET9gN/ciMNvcU3NtS76RcdNj7k0HvziDr2E28AF89jv7RBX+gg++nZAgTan+WN+Bzf8UEmVnmsFp+nT/pgvOkhHmX9TTpkpcU45rFj7CZeaSe7ZxLpf5POM04+Oea9+eaY9OWX41p2sGvX+MULL8Rc990XO2y44aDNe+y9dpvYeb+IHdtDJzM1yfd003O1N09Awr+sAan//CSb5V7PZgPwA+/Jnb8BxE9eeSXe+8c/Yvebbopu/fpV487W4LWxyAlO1kKkT0AxAK+/xsc48g14OdJ2v9aJwWcUm8lnGjemkMFjlBnx+tmJBBIz9QfjzWKqvJpxxqkczhrzzBNfn3VWWLhZfd99Y5199w016n/w73/Hg5dfXg2YpEqCm+UmhM+BB4Pr2RTJ84ENs1aAx9+EhEFD3kkBvNPsS4SUIliOIvjC44wjwwAsCIcTNkYxdzIlUUxCTPgobBYUJfSUOc9IJcgMh899xoG5N5emgQuGmXBnSRE5G7mrjAK7n8H2Lv0R/ctoDoORsz/K5DpCjrecLiOm/wCFXZIcLT7qG8PoWjyh8BTCs4EXioYPnDO+mXzkkVD4JrrpHdoJaHGs3s/5m4FmZFAbbrn00pjh4INjpi+/jH1FUn/xi/jPMcfE1D/4QUwrOsmgOk1i993js2uvje5ffFFFc40z58NwMnzGnPFlwHPGl2cvAg3ADPkw9vhtpptjRqmBHOPMaAKq+i6yYTaP9yYZeJEGKo+Sw6skf7vP9RwdWedcGThjo00mYsZFBBFlUV79oAvGhCE0bsYWwMroNiPuHfQkizRzDJ7p8zzixr0MtskffdJ3zxAhzLpmWUORM8y0AM/N6BqjiB+cDX4ZR8bfNcYvS0BkeRfGUJ/oNZmwLG0ihK9kVd8AwywqTm8z0XtGpW922y3snb198cVj/rXXjp4zzVRFQI0n+WXATaK8k3OgUxlR0T9ROYYZ2CC7GY1MEKftzQd4D80miW+DtJ+e6He7U4PyvN5cIm8mfeC0XJOH2GcRag4RQEAizuyIsWNryAUeGC/89Z50eAC6z+mTZTn6hIyjSTrZXWPTTWPhJZes2p9RR/YR79kFoIEN8zu9dd35Tz0VExx3XDzxox/F9+eZJx778stY5LLLYsktt4y3fv7zmPTKK+NNqwazzx7z77NPPLDBBjHrgQdGl+uui6lPPDEWcSrBE08MOrIq0w3oOPnzOd2jy96fZ54m4Q+bnhOX0047bdDpJ/iIx81n8rINbKVn54kUALT3sh8ZCaNLxgevPM9EjQ7x3QBjrji4FwjRNrbR91ag6CAd8R0554f0xdjmMZ82DOT99ERbBA203dKp59Fzf3suu0nG3CsIwh5oE/9CLthIEyP+Z4kZZ4y+F18cn8tnnWCCeHKLLWKJU0+NSYFnaSYHHhhP3X13VZokV4L0M49pyxQCukwGtZ+ushfa6h1kz+QTUOWDTKJ9DqiyP74jo0CmCXSeqvHOo4/GHUsuGVO/9FK8cu21sf2RR8bEvXrF1VddVQFG/SEL7Kvf8/jBDMyQZ/aFvyU3bPooOfuVk4Cqm8lnQzpId3Qigy7qQRAzgZ4wcTyWtRjrPEw8tzl/rDr3qafG+OrpTDpp/HfhheOoiSeOWWeaKWQ/LQKxDzyE3eCLkFCqDP9STADSwFJc78mcMcJsNkCwOFEDrqhx1ukiWBne5/SySjeho+TC7O7NaCmBpcgMZ1bUT4X3t53KDIHZmOgcpWH0zMC8m/LiR9a6EwomdJyfWQ1HxikzpoACAOMnd/aIdmqr53geRclq7ZSZInkOIyKKxQAz4EpfZKTN+9wPBAvDUyTGgEH3e55qkAVtOWi8prieYwKSOYhAAmOvjyJEAITxB7hElDxnnplmir1vuSXu+N//4o2ZZorHd9017nvggbjp1VejccQRMQtjfcABlCBme+ONKufu+T32iK3uuSfeH7izLvPQ8IyTIE/Gdueddx7k9MgSPhmTzIcha0CX9jDouZsVf/U/l285Os9jOAEoegfIA3OMrjFmtBgcfGGogRylQ8iGWSjQC+Thbc6yOTbRkTyb0LuNMUfK0HAinq0P6dh9j6e5oQZgyyiNscwjcOhQ1lvMI5o4Dn1i4M2kGXtOKQt2G/9chvM+sqTt5BEvORFOj6zQqTxxIk8KwFs8IQuMMeANyIv4Kd+TR/e41jgBfJ73/uOPx9s33xzgwVQrrRRd1lorNt9ii0E1GMlMHnJuXOgII+y9WUDZ+OKrPnCKJo/ah4eZg4mPzUcntaIsfPptEodEpkwe2pExNSlpV2KF/csNFOSSHcr8VZFtustW4hk5dj2bwKaY6NETtsdYsnNkFz/dTz7ouzEnd5a/PEcSPdAEKLqG7mXRVzpA1owVx0k2LQmzq6697vrro798piOPjFlPOSW6rrZajCP/ulu3qibhNOOOG/d36xbzyZsdb7zo261brNW1azXZn+yJJ+KJRReNOW+5Jd4bWFaHf8lCtyYVeYQa2TXBoVt5hB1+i9CzlXlMYuqxySyZB4bq+byexe7mZotcZgUY6DPZdr334Se5JIM58X37jTcq/+LzrBmpXQlIyX22Fb/8TWdEzQEj+WJZ3PjtN9+M+eebrxoT+p2RqTxijA7SD+ORdTONo/4ZU+/zQ7f4SPJBDib66qs4ZoMNYoGPP47+k0wST2+3XbwxzjixxJZbRtx3X8zt+K1+/WLeq66KE372s+o99JstwwPPIKN+50/YAPLhc7ZCG/lGNo8/YR+0gc0lH3jsO23VZjwyIalOl3r77fjksMPiehG3SSeNB0VeP/88VrjzzhjniSfi2oHVG8g+W2HSz76ZlBgrbWA/2E/y672ubXX82wgHdWY0lpsogBwnP34XHvXdmEJmzgxQbnNnbLJGTBZRJgAcE+ZTgNleeikmefrpOFdJjbXWipdefrlC6cdffXU8Od101c6rn950U/S6997qnjyUmmH2fEIg0kapM9cLCKGwDBhjQkiEzxkACu07SkGZADGKZ7AJAYeapUUAHcJHSbJeD4XzPO8gKIADhWY0XU9wGVZt0k8GE0A46MAD44Hbb483FUFcdNFBIJXREAFj4EX18FCbOS3/E3x98p0+S+b1bCDKrJRzZzT0Vf+AV9EdRgxw1f5cEsnjrABeQMlPKqd2GieGPc/D5SQoGqOHZ8aWEorOyQXFqwQglAeIldvBIFUlN957Lza84Ya47bnnYvIppojXN9kkbr/vvqpN+sPIzgSkHH20LOToetZZ0XX66eMz1fPPOCNW2mefuGuffWL6KaaoltdFFLQrN4PgHRlKgynChgd5ji8Aa3aLP4yhpWcgi5MCHrI+IIMijy7rKjIoDCWZApwBLbNO42jcEijqs3fnEXYAmBknQ5rFNQFIRlX77IA1BvhK372fLOdyOICTIFU7jKlnO3bJNcaLc/EM+XT+32GHHSoDBpCR38xxqTatPPRQLDDLLPH27bfHlN26Vc81VvpvLHPWD5wBxH7ID37kxhv99EwTncyX1QZjkfmCZN6SK17SB4adnK65xhrxoWUQs2xAVGT4pz+Nd997r0riZvSlKeCP/mVBWzaC/HBmuUyKl3hjHLJOVZ5Ckyd3dKacybDUqhqRRL9FJDqatJNHNq1en65OuemLvJNJ42Hikweke0eeQ4wvQALAYdlQRBSg9DuZ9Q5jzraQS/KI/8aJTpNf9oZcyRXDd7KE93kCh7bQbWAH6MvvyUMeR5ebcL6/0052LMRXH34YA84+O35yxRXx8YEHxm177RVdnYG8yy4RZ58dH/3+9/GYqOMss1STgkXuuiv6bbppxP77x9zTTls9n67IayU79IXcejfe5ukJJj7kR3/YaTzT7typqc9VkWDHcopOPvRQNAYW53YtwMdGABEiTLmZzO/4SBb32WWXuEe0zu7ehRaKuX75y7h5ww1jxZ49q3dkoWl85ktyFyvescHabDzYRTZL0OFnyy0XH/7jH7Fwr17x0I47xmnzzhuLOYd6v/1izX79Yhz5tBddFFsusUSsv8oq1TjpJxuexzwCkdrpB67AH+MzaZ8+cfi998aLn34az008cXyy2WbxwMsvV/6iOt/cbvlrromJ5pornvv883j+3HNjbSeR9OhR9dnSq2fBKHxTrhpkqSFjY+JLjukbm2vymCkCdNvEQ9+zNl4VlOjVK/qdfXYsd8wx8cTnn8dN448fU++zT9y36qrR+NvfYo5JJomZ+vePAUcfHf856aSYceqpq3EhB1ajAGrjDHCTOf3nY40RP521BTtDrc+X6YAk8kOrmJRLhf5m9EZ23aQRSbnz1OBmToJIgOhVhs1FFzhkDuv9J56IHR5/PPT4zbnnjkN3262KhhCABRZaKD4Q6XNc0N13x8y2VF99deWkvQOfOGoG2mwlixiKjvg+690RMp+b8fidA1t9tdXiP1ddFX/66U9jurffjrNvvDF+MuWUcUGfPtHHkUH9+8dGU0wR5/frFwMIqC3tU0wRfSaaKM554IE49vDDY87ZZ49/XnhhFfY1UwQoCCml0e/G11/HY5dfHtP06RMTHHxwfPjww7FXv37BxCgLcNOEE8Y8Cir36BGrbr113HjHHZUSihJpL4PBIOMjo2uGo/2uwR/KywnrJ2DnOsvRuX2bsjAegBZiVPCM8XYfw0bh5NMxJgw1ZaMEDA4A4LmMJJ7hXxaUzoOVgZrMPeNQzdTyWLEXnGH5yCMxU69e8eGEE8Y5a64Zc848c7z82GNV5JJc5EwKCOwqaX2HHaLrl19Gw3Isx3vHHfHyrbfG23fcEVMutVTcN8kk8cO11x6Uk0hW9MPsUTuzgjkHlptO6mckMiR5lqB2Agr+ZlTzJ4+JAuDc61m5Mw8A4iQYDk6RvHOCZBD/yKGxAozxyVhpq2gHQ1kdh7XIItU4ZI1C15utMza5c9Y7cokg89k4arNR4E3EVv9+vvvu8ca990b311+Pab/8Mh61y1Eqwv33xzaffRYHOULpq6+qiDfqMdFEMe5008Vz440Xnw0YENfTq4HHaCH/a7Ox1VZRDvKFBxwxnpkNc9qAKUfnO84OEMNP+i2aLuX87cMPjykffzwsgi204orxyQILxKuvvVbJomh28o5s47f34RU+41f93GFGWXQBgMxoJUp+5lGE5HRIVK8p9m1STrbaUZZ/aQfqEN0DwjnVtLd4Sz7Il7ECwEw6jBHZ5IT5GtEpYBBPRdVNYoAMUVbAIPM+M/8y9czzjBOd0DYAgs0BKI2hsbTRij3xDO0zRvQDsKFPxjxP7uHUAT+Tdt95Ttaj9OwVV1+96ufNl18e3T/8MHpKnj/uuOhx5pnxipJUK69cjb93kxP+ptplPfvsVfvZSpH6PFVHO/iJzP9eRP7pMcfE0tdfH2c89FAo9y0j+YUuXWLWWWaJF01+3n8/Znz22ejTvXtc3bt3BV632HDDOGD77eP9l16K+V95JfpusEHYd8ni2mur3PGVr70Wu++1V9y63nox4Mc/rnhCt4wPe27Cpr/0C4A3gdKXbTfaKH636aZx/UMPhYV31Tsn+OqrmO/dd+Opd9+tnr/pY4/F6QC7SPZaa4UtBbssuGDcNNts8d4ss8Tfzzkn5v3e9yqdzk0MJl140cXxbvvvL2ch5ptqqljmgAPin1ddVV2TZ2Rb5frCkY0rrhhLTTppPP3ww3HpzjvHbD/5SdzUteugmrD4yo5bHSGzJ5xwQjWmVu4yFcSEkF6zk5augS5j7gxgfsN4AIpf9O8f9+2zT7z66KPxuU1FSyxRldD56W67VSVsnll66fjyyiujx447xtsvvhjff/TRuGbddePdH/wgHl111UHlq1S74Ff4Qf0hw8adLNbPvh1poA4Bb5RxTCaDVy9Ma/AAiCzVwYAwwhg9px1RV14ZH0fE5d/7Xvxgo40G1VMi7JyanJs7F1oolh1//Njp1lvj5Guuictmmy32P/nkyiDKizB7zA0XjL6t4wwA4+Q7f4uWPHjnndHziy9iwosvjtePOiom6dcvmHXVrSx876s4cUQFMPc3iH37BpdiD6Pyz5d+8EHIejpKtHHNNavcoO4TTRSPnXRSdJ188lhq6qljJoUojz02lrAZhJJ++GHMqx4bA0HJu3WLKaaaKv5hF0///vHsFVfEhiIYZ58dL087bRyz7bZxxWefxbQDT3QAYPPsu9yQAIABfgwxkMxAWPJgZPUbILSUleUKGJEEdJ7hXsJtx5SIMAONzL4YXNFh0UwGn/CLyhgX9+UZtBxnhvUZZU4WeMkSEcbjlYsuio169YpeXbrEW/vtF1N+/fWg80sB+sw/Y2wsJ+RutnG6dImGXWVHHhmTPfhgfLLbbvGW+mh33x0rPvVULDfXXPGK44c+/7wCZ4yJPosoAiDAVDuHnUVy8db/eFe/NvMQySxjxHCr4cQ5cAZAhv7n8Wkch/HhnPSLfIvi4o1lWf8zVN7HkQJuCPA85phjKuMDHOFbVsMXvcm8SQCOgwUeGSb9BKDcP93//hdTrLlm/EfxVAAhIm5zkoOaYvJYI2IDEaGIOKl791jcMtwnn8Qb8hSdH2nzjxIUdq7dckuMP//8MaHdfwM3eeiXdmdxX7NuExZ5QyYVZA0Ips9p1EXDq7pfjUbcs956lWM4kL4ssED8V+HYTz+tnseIG6d0AP6XxykqyLiLBuItJ4HIpbElZ5Z2LB8laQcZNuEAaoaUrpJnrY4pBER3VNaKPTBOZBIgotvGCZjxnfFiCznZTFGhdyYvwDfAY5xE4/JEn8xPcuax55F5tgDf2Bk2JZc8TSRF8cm26DsbBQwAKMZF28ktvcq8zARrwF+ei5qnRXhv+g12hx5aTaGHXaeYItY8/fQ4cs894+u33ootnVhyySXxs7vvjgfWXz8e7tater92s4HuFw3DA21lL5VtAS68++YLLojJr7su5t5zzzj3nXdC0aWvLdnONFMc+9Zb8cWnn8aezr+1cUX6zTrrVGVbdppmmnj1wQfjuRdfjFe/+CJk7e4YEVeZGE04YZw+wwwx/5JLxo1zzBGf/eMf8dUrr8SAyy+PSe+5J96ccMJ47tNPqwmmcTMmgJa+mygapyWcV62+XJ8+MSAizpp66ph68cVjy622iskHDIjnbr45xn/xxbi8S5dKN/adZJK4+a234vVPPok15B0+8UTsFRF7TzBBnDf55LH6qqtG11lnrSZlgg9zvvBC3H/oobHk11/HnfPPH0vvuGO8+f771RjZ6EU2RLvYdp/NOMsssejPfhb/3WGH+PNjj8U/L7ssfrDllnHGXHNVY5p5rCZLfD+ZEgjgHzKKm/mu2pDpD3SabTWpFcBaYu6548FTTomN+/ULB6iucuyx8eA778RPunev0klEMeXCV4XNV1klnp144uj63HOx7nvvxZ8vvTQ+7tMnJlp22SoayI6QV/LD9tKH9E/A5CgBdZmEmsVXOQdRliHt5BqdiHDKJTN4lFIkBqDK/lEyBv28f/wjPrniivjoq6/ioemmi0W33TZ6P/tsZdwJA0MAdBDwXurLnHpqzLfZZjHbf/8bd/zpT7Ga+ks9e1aK6posOGyDBLDX9+23Y7wvv4z3b7klVvjf/+KPP/1plTMgM0UGy9FmOQ6SnmOOuPjzz6Nv//5xtorqfftGj88/jy/XXDMaCy0UL95xR0z/2WfR74c/jDnuuy8u/Ne/Yj2G7JVXqiONZvnkk/jq0Ufj5wrZ3n57EBmRuHQ5140zTmy5yCLRa4YZYqKFFoonV1op/tu7d7x22WVVZOXZd9+NHh9/HDe+9VZs1qdP3H/00SFm8ukJJ8Sb3btH10YjXmo0YrVu3eLc/v1jnq+/jj8vt1ys161bvDiwqvmj44wT2++2W8VzRjV3TAEaDCswxojiSzpnjg0wy9p+fjISxJEyglmzLEuSUHSGnEN3nfeJNnEgQKBnZkmAXsceG5Pdd18FNM7dZJN496uvKoCa+WWcind6jjw0z+ZYKHrm6ZwxsCDms4stFm889VQs8dFH8bhl8u23j8lmmqkqdkrGXGP887g5f4/vbFXLMIpxPvJIzDDxxDHRwGW8D+++O8ZhTJ2YAVS+/341Wx0wwQTx9vPPx+NPP10BLlFSAItz0FbOC8ACNrQ1a9/h82Sffhrfk2T98MMx8W23xc677ho/69KlclYiJ5YYgR1LlHgOOHsHZ5UFRi2nWv7Rd3JseYRBZQcYfuNT7T6bYIJ45txzY9o334zLnIQw3ngxvlSArl1js7nnjjs/+CAenWCCmHz55WOL7baLbvKd9tgjnlaKxaabl1+OSWxeeeyxWF2i9wcfxGt9+8anffuGLRjn3HZb9FhiiZjcMs3kk1eG3dgyviJrnG8CKTNxMqXNSK7N9ddeG6cuvXRM8PDDsWVE/HvnnWP6r7+u7sMDRt0yIIOON0ACfTfuwJz0APLAEZA9jo98ccb4wY6IztZrTZFtYC8LR9dPtiBr9dIl+pNFzJspo85J3td8Rm+7a/Gono/VTBnB7uy1fm+ulF+n3PEsEue5JtCADdACwNFTkwBjAzDhGydqgpa84vzwG58AZ3YFz9kSEQ5yb6KWVf29z9gBJv7Wl9ztaWzoowm1tkjVyNIs7FOWSaI//s5AgPHQNv6Bz6AjJnt00Odkj67QyyXXXjsmnXPO2PTEE2PxV16Jh/r0ia9OOy2m6tIlvurSJW496KDoOdts8fj778cVJuQ33RRdu3WrbNA9d98dr//737H1c8/F6aKYjUYFnKaecsr43SKLxFwbbxwTSgF58snqeafff388//TTMUG/fnHGxx/HAv37x2LvvBPjvPNOyMy6sFu32HfRReOD2WaLJx9+OHrOPnvFqxVWXrnq1/IHHRTn3HtvfP+qq+L1t9+OizffPCZcaqlYbb/94olXX63Ggv7jw1wzzhjPXnVVzP3OO2Ev7jjO9V1++dhsjTWqSdOMs85a2ea1f/nLmOTBB6uI/vt29h59dNx70UWxy0YbxX1//Wt0e+KJOPuJJ2JD59gOGBADzjsvFOTa8vvfjw8efjimu/76sCg/xRprxARbbRUzTz99XHD44RXfRfHwGu4gIzDImWeeGSedfHL0c5qH3OhXXomFzj8/Fl1ggXhtrrmiMc008cFLL8Xll10WSy2zTOU78tQL9pH8ZgCCvmc6Ez0XvLGrf5qvv46pTj45NlbdYeKJ4/aVVoqrVTF47bUKmMuTz/OeyZ3PTEpm2Hrr+J5qD+efX03y53jssfioR48w7Z73iy9i5hlnjHOeeipmm3ba+M+ll8a4b7wRkw9LPm2jk/Tcc8815p577saEE07YWHTRRasfv88zzzyN559/vjG60wcffMDytf350Y9+1Lj//vsbjz32WOOpp55qjNelS9trV1pppcann37aOPTQQxtnnHFGo2vXrm2vXXjuuRuX7Ldf45/bbNO4Yp11GhOOO27ba8eLaGw9+eSN1WeZpTFPz56NiSeeuO21U001VeOee+5p3HjjjY3zzjuv0aNHj7bXjj/uuI0vl1668Y+uXRv3dOvWWGKSSdpe261bt8YFF1zQ2G677RprrbVWo2fPnh3y7YKIxv4RjQERjak7uM7PljPO2Lhgjz0ap518cmORRRbp8NqTTz65cc0//tH40847N3ZbdNEOr732739v9H788ca2227b2GCDDTq89vzzz298fdttjeO6dGnsOIT27rDDDo3DDjus8cc//rGx+eabd3jtH/7wh8bBBxzQ+PNGGzX27Natw2vXiWhcH9F4O6Jx2BDasEtE47qIxmsRjSOGcO3f/va3StZff/31xibrrNPhtb/zvKWWahz0m980Ntpoow6v3XfffRv33ntv4xe/+EVjn3326fDaTXr0qNp5QETj8Q70wo+xQu+8805j44037vDa9VdaqXHONts0vlxqqcbPhsCHbbbZpnru5Zdf3vjVr37V4bVrLLxwY7fddmtcf/31jU022WSINuKjjz5q/PznP2/cdNNNHeo9+1inqaeeuu21SyyxxGDXTjfddG2vnW+++Qa71t/trp1lllkGu9Z72l2rfXVi49pdy+7XCV864tvnn3/euPDCCxsPP/xwY/XVV+/wWraHrf7tb3/bWG+99Tq8tnfv3pXNPvLIIxsbbrhhh9eyZ2Rhzz33bKy66qodXnvttdc2Lr744sZFF11UjXVH1+LTueeeW/Fh66237vDa/bp1a+wd0fit+4YgwxtENP45UI+W6sAP+Nljjz0aBxxwQGOVVVZpTNKBbfez0EILNTbddNPGE0880TjkkEM6vPbUiSZqnLvrro0jjziiccD++3d4rWe99NJLjSuuuKKx2WabdXit92+//faNqy69tPHgKad0eO0yyyzTOPjggyud9ntH16699tqNv/71r41ddtmlsfePf9zhtStPPXXjs/33b1z0s581Pr755g6vXWLeeRunb7VV46Vu3RrnDmHc1lhjjcZxxx1XYQNy36UDHDE72xrRWCGiMdtA/998DV0YWur0RgkzeTPhjGT4gXIhUt+N6QRhi9KJDl1/2mlVvllHlDsezdzrZ/Y1U1dHyRx3XPT5+9/jf1dfHV/XjoJppgkmnjgm2GSTmGeddWKDrbbq8P1mm3bJCtObbXZ0wHcXpURsPrjiinj6T3+KiQZuCGl5bZcu1TNFYeROdDQDR9f86Ecx+8EHxz8OOii6DmFX3+sOKv7DH2Kh/faLL2rV91vRT447LmZRbPPMM2PAwMKU7WjubbaJeRdeOA695JJ46brrOrz2q9dfj3+uvXb0/vrrmGFgKYp2lDvKctNJR0Q3xu3evSp50mWHHTq81uKbZfOru3evdlN3RH2nmqoaiztUWh/SIe6//32V8zfDKqvEpANLRbQj+0u3v//++PDCC6ul9I7IkrMlKP9bluiIpurbN1wx3uKLx7g3qvjXnlK2RP1EKDoiyzY/UKj7vvtiQTuRO6AqOfz88+OV88+Pya6/vsNr/zewXIfl5KGpCyf6IyIhotSR3g9LTkxS/biosYFE4nI3fUd2ClkGxdf6but2lEW66eaQTtrIHDzR5CGNs8iiaH+ePdwRifbkMZF5VFc76rXaatF1p51i0f33jy4Dd+O2o9m7dImlLeFvv31MV6tx2I6/luuy7lpHhE+inKLY1UaDDmgcObVnnBFT//Of8a7NGR2QyJeIl2X0PNayHYlq2vX+1PPPx5tD4IM+0TWRwkx1aEcDBgyoeFHVSB24I70djfPuu9Ht2GPjC75+9dU7fu7TT8ek550XfT//PLoPPHWoHUnVESEX1WWHmov116nrtNPGnOusE3N+73vRXRmZDq4dGhoHsuvMDULsQqnNSb7CzXJygIzRmRgLRmL1ZZaJY044If59333VEpXlGcmvQsvC6JZ4DltjjRhfTsF888XSxxxT7VoSwlfjhvAaKMsB1tCz0rpkTPlMBnXA22/H3JdcEo+9917M0r17TNOjR1yo7lb37vFy//6x4qKLxgKLLhqv9u8fm221VaVc2uDZchY921KFZFo5QMCbJUq7HO14BaS1N3fVul6IPHcLZkkK+QJ5jJElSOAkdxdaViAC2u66PH9W3qT+yQkC1uUu6TdgIXRsnCWDWp7yHsud8lu8B9CXJ5c10ux6tET9g5VXjs/VnfrPf2K6Z56Jrh98EFye8PpPJpggNp9jjjitV68qz6qv/CqG1W6wccaJq+0Qc8zNZJPFfc89F+tNP33M8vnnsbfk3C+/jJm/+ipO+fzz6DIQhJ8CHMvHAnwj4s8D8xD3GZi/Ncd448UrX34ZZ081Vexy/vnxr2uvrfJEAFm8tGNWHp/lF4mzQvyWYfDDko7ch1zusSyEL5ZrKDAZ4zAYd0s0V59zTqzy1ltx3xtvxA6XXBI7r7129P3ss8o4TTfXXHH5dddV73K9fEJJs/JJjBEQ5Z02VlhWJRfGe5+ddopuTz8d5519dnz64otxn00iH30UN0dUCcn/dxBQxC8j4ulJJokNllkmNtt557js3Xdj2VVXHbS9f8KXX46jb7gh7v7sszhrqqli6f32i/7jjVcBCo4qa80hhlIuEznlvAAbyx3jvPpq3LzffrHg/ffHCRFxJDC3/vrxq48/jh322KOSN9dbTscfwMlSBjmXAmGZ0VINHthQZNmKDNIFMs+2sDeApGVkuadkn2wpT7I8R33XXTFXr17x4P/+F78bKFNLTjllvKTeomOT6L56Xt26xbM9e1a75Lbfe+84+bbbYuZZZ62cixIYxjBP2bDETL4ZZ3219CKpGVl6zXNibUbJ4+8SKMi1pbfysfQpwUaOKbkCFOShZSpA8/KrItHkpxWNjsuvAGxHQNS17Jd2shWuJUtkXmqDvy1TWeqnQ/RLHlaen5tLWmweHc3cVHLq+zyiin9icwAcNlsZJLJGp/HT7nS8Ntae/6tf/apqX+7qt4HBOEg7YNeNbQIV45VpRvLh2ALvlqdnGVl+KfmWO0w3jLXf5VCz23nKjPGgW96lDdry9RdfxEeKb7//fnzf8p8UlG7d4qBDD63yB9MuyVXNpWN2Ns8nt5GJfZDq46QGuVpOebKTnnzI8ZJGwrbksZHSLrSPfGuPtAN+QMkkNm3v3XePHuedFzcffng89+WX1cYMm5lmWWSRKiiw3AorVMvX5NyPnEXjw0f4nV7TU37MmNhsAUwC7AAafbF0bdLMZ+kTO4uHluQzZxf/8Tl3u+KXvgDzxoqc4sPuu+9e5TQKcHgmn8XWyLdExuCrzz6LzZZeOraz4Wv88WPnaaeNF3v3jkX69YvXvvgiPm004o2vv457BgyIJbt3j/P7948ZunSJNSeeOHp07Rp9l1oqnpdbOLD6hL6SX3qWKVx0gfzgsbbLyyX3UtbYCzn2mW/LrukjOdMfE448h3vhhRaKGQYez5lnRg+JOg0JDUIe8VMnQpZnyo0J9JN7741jl18+ZjryyJj2qafi4UMOiU3ffTduveCCmPSVV+KOX/wipv3005hu0knj/WWWqZwgoAOw6T8DRZiANw4mi69yzHmQ9wvKFvz5z7H/k0/G92+8sconmH7tteOZRiNmX2yxOPWKK2LGxReP3xxySOVICD9DxrgQToMLZMi/kqfDyHNqWaCQoQJEKI97reUTYImjAIPdNf7OHZbaxdkwToyAvBNCR0nM7IwfhUvD6TPvI4wMJ6XVZ8/KQ+Nzl6WEY8YGkJP8mYVYKRvDqj1TTT11vP7117HAbrvF7DZcbLppvDT//LHShBPGJwMGxGW9elWbPT4Zf/zYaqmlYsZjjolxbrstJncqx7HHxpsbbxzPzz57fH/XXWOWY4+NBzbbLObZYouYapNN4uvtt68UM957z7EUsYzcBzsuZ5opesw5Z3RZfvnoOtdc0W3ccauE+2e//DIedkLFuedWuWmMHAPJkMgX1TfgHxixMSJnXowjWcd3RoRTwSfj7n95PgwjnuMbWZl3ueXidbufl1oq5ll44Xhroomi9zvvVGdNfvjZZ5UB4tDIlLEGcrKwrvwizzP+NiFQbLuypph55ui68srRd4EFYubf/Cb6/+AHsdLzz8dsO+8cz/zmNxFKklx2WTy83HKx4cknx6y//nU87hzWged4iizrU/9ZZ41PjeWUU8aX770XPY4/Pt7q1avqK8OUx8T5AerIHYfLYE4x7rgx3i9/GY+uskr8RLRPfu2880afs86Kx7bYIqadffbK0eVJGPiDXxw6QMPhKZeCp/5nxBj7PJ/RT9arykr7WQrHRMpnlS46Cm3NNWO8Y46JhXfaKZ4duAt/tn794uPxxoslFlmkMuA/OvLI+EHv3rHqWWfFvd26xXV9+sTsc85ZyW4eh6R/eZoGvdZXfTdZA9L8DpgCDNqVp1cw3CJFyas8joxNyDIm9bwzQDdzefKeOqDLTTD5XfNPc0TK30N7bba53c+wXmtshnQtu0Cm81qgCe/yaDk6SL/wDcDKIvB4DmTgKx1hJ4ECoEriuu98bjIg19kkiH0E1NNeZj4emczCtAAEucrTbegF3fW3PN/cva+NVaT8jjsG8TrPUWW73eN+oLJ+AhFwRc6BN+DHqkcWC5ebqs/ez6/0efvteFVVhBtvjIk22CC+t+mmscIPfjDI5uonwOt/4EZbPJvD1x8TDHwEPNkP8kvX6Ro7rD/sP7sFIJqwyCPMc56zZqfNH0BHdZbs669H14MPjnePPDKemnnmWGDxxWOcJZaInzmY/vPPq2dnKSsbWLJqhIg7m2qyb/WCbvAlKYt0LP2XMTK+KmvweQCY/uYGMbzP0yj4YHaIDJEP0UBBGPzG99dee63SS+MD+Plfe9K+mhyON/74ce8778RSG2wQm514Ypw2/fQx+ZlnxmuXXx59zjwz5unVKz4/6aR4dLHFos/++8dyBx0U48mHs7vZJr8ddqhykQE5/MZb4wDgpb3gO8gnPgBy7BS/C0Tri+8EQ2yowL8cI/wnH+6vavO1KOQ9wkEdhnPauVvRD6fO0WRJijGB5p5wwpjfEsf778fX77wTnz76aPz5xBNj/SefjKPXXDO6/ve/lZOa6Cc/iXc//LASLIpAKICnPDA5hdbgGFiGOCti22XYRyLpo49WQIkBYQg4S0jcsWBAlB8V7z0T0DIDFFHLHYWS1gmDmRhByuiGH9en07A1n8CbCRJkhlHEQXsIindTVIbFjIJBpEyULzcTMBiEkvIQPJEJUUEOj9GieMAFQ8dA6xdQkmdr+puB8hlDBxyJVDDO2suxU/DeTz8d86y8crwl/L/nnjHLIYfE8+uvHwtssUW8scIK8faOO8adyy4b79nW3bVrZTS0V1spimeb9Tt/j3FgTO78z3/ia0np884bc225ZTw/yywxw1JLxWfO+DvwwHjyooti1mOPjSnfeSfePvTQ+GSHHaL7wKKoIon6DsRJvAbkkFk052ssGU4Kig9K4RgHhpFRZZjNAhktzt91eOFas00zbGMBnGmvMfE+DofxyTHEO8aKkTJO+KjfZCdLoTDmQLVSD+QkzzfsPsUUseq228at6p8ddVSc/c47Me+CCw5qk0gToqcibsaE8TTzHue++2Lz6aaLK959N2b95z/j1XvuqRycAqOMMcqTIuadYIJ45dRTY/Ebb4xb//WvKkVBIvOL++8fix1zTLw9wQRVAjwekrcsKUO+gX665Hd8ozueyemSWe2kQ8aZc+L8yKY+iri4xpKRNuE3+6MP9KT3M8/E+gceGNesvnosqjjrHXfEh3/+c/R1gPbxx8e8G2wQb/frVxlOO1g5+Izi5Eky+K/N5JTDNY7k2vd5nJ0xzVNXWp3JypnnkqGxZSPqlMt/dIOutlquGx2KDo8Mwt88Yi6Jg85zUckcAJ0HudMPOpi1HFHW+yMX9I7DJP9sLiBApkR86oVbTT7zKDG6TF7YzrTbwBgAQSbZef+7x2ccNSLDQCjf551kUTv5vlyp8j2ZFMlnYz2HzLuH39A++gBkAEHsB9tO9sgb32BVhszRW/Lpb23le9k9Pogt8VyTC7zzTvY/V26ANWQTh3a4zn18CuCrDXlsmWv5FvImupTnibP7In94c89LL8XShx5aTU7nG3i+ODusXblhEiCnv2ycMdLn/JyeiMQbX881lnTDWLNxdCbrBFqp0Dc8AHz4LWOXO1KNNf4Ze/97Nn+Fd3fccUd1b07CBRNy1zSbAwx7LvtpEsnHmQSIFuoHXgJfWRydbREw0Z8s65NnNpM3dkGpLTKnb/yCSLBn8PHabbLBnvAHbDmAT/e9Wxt9Zuxz8w77JGoqTcG7Rzqo40g4uaz87ocw67SIzJhCZ2+wQUx6+OHR71e/io1//vPoDlH37BldZpklnh1vvJCJ9NxMM8W9r7xSKTUjK8yKyRSHUFAMSweUweBRYGUTDAxhNNCUjVIBQBTRNWYcjA6BZDSE/zkSwqsWDidDAFOBXWuAswYcgwTEEFZt4DwpvBAuIdZGykK5fGYG4z73mDkKtQMuCUgZNcVmRVTMRhk1QP3444+vDJuoAsXzDEaZUhJIz1G4lcHVZ88jD4y26zIPBajzmWsIfrUT9tFHK9CJd93GHz9eVEB2jjliw623jrnmnrsyZsCQJQRLMshMlzHwbPzlGBkC12bOAqONKJ0+eAfDbZyqc0Lnnz9i6qljsfXWiymmn74CScYMH8z4kH5mdXeGj8JRMv0x22Wsss4fY5JFln2fuyTJjDaa9dqlxUFpIwOSldzdb8yNbR4RxkAxmFn8VDv00QybsWIgLeUwBAwPoJxnzBo/usnQaIM+2/bP2DHOvst0AXJlyRE/jdsnM8wQP3zkkXhrssmiy6efxqSXXx5/2HnniheWQN3zt+OOi53vuism/81v4v0XXgiu+ek554x5Lroo+jiKqGfPamzMPIEyhotDMgnUP/xPQ+a52oMv2kSn8gxR/QBoGXcOHY/xnMHVZjwBTEUhGHbGPqPm5KkqaWEpvGfPmNkZnp9+OtiZrHSGXJBFfLEb1cQpjzvifPEZj82+yZQ202Hv4FS8kz61ypUxfnlyQVbkry9LZskEvCeb9aPdxnZQ14rINTnwgx9sljHwex7DlqWmEGea0bAsX4KMHcfrfmNED5Lf9Mx7MprKhtIvQI0zJ5vGCkhzDTmld/RfG3IJmq8jA5b1OG32nJy6V1sAPACFzSOz5Df1URtcC2ixA57PZrAlWYSZLTXuUi3IB7+SviBL4AAJ+OMZvsvdwPgnAsZP4JfnAsxAgnv1Ee9MaEzOgVs2SF/YKXpAt9wj5YT9ZO/4JzxhJ+iDlAefk2H8ENVjb+s5inmsZJ4+RJdc451sBJ7m8Zt8EfwAXBoXnwleWDFhR+i/sfIuf/ML7Cwe+x/lmejvvPNO9R7jKEih7/luNlQgxT3alrKVJURMYPHRSgFZ8jz91QeTuCqlasCA6hr3sj8moGSOb+OfjKP7yZT34on28jP46j38DeCnTSbwGdUzfp6bkWoYS1rYSAd1OiFCYoA5Kz95juKQElpHJ6IYXwu5/+9/8eoss8SApZaKzU44IW5ccMH43yKLRP8VVohJ55qrEk65EYTGoABFlkYNrMFm/M0CGG2KxMhTXgIFyHBWnCtDn0t0hJFyAWsUzX2AEiECLjzLEpP35QzL4FNksyZgizK6noIAmOnMs6p4VS5jYBV9TpJRsjzKMTIc3kPACB/l5LgIMKFkiCi1zxkADopRIXT6ZUZoyYogMmycHXkATlxHkBlOxo3TJaj44NkUg1AzRu7VDjM+BgSPGR9KbOakrYAWowM0aSNAw0nij+d4Lv5RLMCBQWdcc8ZKMQBe40hWMxeU4czCtZ6N8NOYyP1gABiVTOj2PwNBzvXPGKZDx2eRNIADzxhMDkmUk9HXLkAH74BtbXOdfhh3QFqoHQ/9aLdxNvt3jT4DSHgKYOON9+uX5QeOCUABBPDM/WbF2uCd+kTeAFPfATbyOTKqQZYZufEYnO23j79NMUVVyPp7V18dPR55JFaebrq46Te/iWlvuCHuuvXWuNzmkemnj0n/8If4Yt114yVHJT31VOVc8kgpY0hmOTt8027yyVhlaQiyCpCSQzJicsK5kCF2RvvokOeQWbKTtfS0mVM0vuRCxAAfOQiRD3zQJjYpI0PpdDgu7zRm9JlzTKdBjsgsXrufE0m51j/OjF7SEf3C1+ZEc7peLyTtd5+hjDAk0V9jktHQpDxW7btCdF8EFI/ZiazdaXJENup6yOmRszygPnPzMiLsd3JmRQHRKc/g8LNQdtYJzFMt2CJy4X5jTxaMExuQSfrIc+gsOfMeNtBY0TXpKfSIDIlYkcMsZAvIpWz5YVPJkvexq3ScXvoOyAAetEHKjf/JeuZMsifsP9/BjuAFe5DnlOqnZ+mjgAJe5mlAZDpXIeiYaLhAgL7rm9QdoC1P76A/ABf9yggeG0of6bPf8Yc9996kjMRnSSm2GohBfFoePYaXbDn7gPJM29zsUdd3+kYffZfHTGoPe6PfdPTyyy+vxoZNgFO8Qxuz3h+w6F3kyj1kxjP0NWVG/0UsyRVfQsbwOM+9zSNFvUv7TNLxkjzoJzlmXwBsbSGveItnfDj8gAdkJYu0k3t80lZy4TNy4HmdpWHeZmGgCZafLAo7JhGDzsgblFRMTphCY/gXX35ZCQ9HSJgzIdUAVzV9ll++mtlQJADRAGcOjgHKQpYGxvcEx2cEwKAxLsCXd8uTACQILeUxcyc4KcQMBOWiRK4nHKJDqQQcAwHmbNzLiXN2ZhKEFujiVBgQRoMgESiKRdgYBMBIlNBnoj7AAmPnb8vBef4mkGC2laC2DpQodZ5nyQARdLxzD2XIpUQKj58il9rJsAKlQAqATJEYJEsTQvTajM94gheuoYCuyeK6QKbnMJxAjwifNlBmn+M7HgCkvrcUmUts2WaOmrIyNICAccsIAQXXP+OIv2bczWT8MwmYrHBAeJW7/bwPLxgpYIAzJyPGk3EFRIwjA0KZ9RUY9z9jTO44Cg4ggQqD5rlZT4sjJBvGHS8YGEbEsxl6fOdAM6wP0DJ85N9y5uSKKs89d6yy4YYxu2j1ddfF/SecEBvKDx1nnJhmzTVj3dNPj4W33Tb++8EH1X0mDcAq3uAzg6tPcobwQjTMZ8YKyEsDK/KdB9ZnREJ02Xgw0AlA9Vu00Ls4MuMqGRpPjZFn4IMZsrbguWsytYEMJeUJA/hPtumwSUMCOTpq/OkS2WTfjBcdYmizMK3x8BngpV1J3suI1w+1p3cZNUobkkT/6BqHWyd6MyblKA8vGSOTSvJONvCY/W2O0rEpxgNPgX1jzRYAOsaVDuT1/jbGxopeZzJ+RvhMJm14wX+6Qlby5Am67Dl2ZOdkNImOihRrGzCg3e4nz4j/YIdNUPSBc2dbgCny6Xfvcg9AY6WBnOubMWdn2W5y79l5zBm/oT90gIzqt4lfnqVNVkUKRaO0zd9sgzbwG/RL/ywRsqH0kA/Es6zXSu69n39wH1uDbwICZFu/+Q+6QsZz1SF1L3fF54YibTQx9zzPyRqBbAXflueBs1++oxt8BBJQ4GfxiG9IYJ5nrroXH/gmPlB/Z5555mrCqt/4S5as9NBbfONf3Ud32VL2EB/IjzHnA9M+mCiTNTYbSBRJZOfcY3zwrsqF7NOnkiXP0V8Tcvwho7mJR3u1G+knn6kveJnF7emA/03w2EyyNSzFhzsN6gwQJ99Mokcc05hCnA4Dm6jfIHCmhJZR5sTlRXD6nHIei5Q71fztOwpn8AwaZSdInmXAKC+nRlk4TEKcxTUJY54x6Jl+9yzCTcA8I6NjjIHrcvcfwfVD6IAlRsvgMwCAC6fNSFA2ygpAEsQ8aSENHYEHagkr50io/XD03s9xMg4EnbFwLQEFoDghQkhB8cL/BJSBQASY4DKm+IDHeMQ4apcEWUCYUjAMQBtDwEnaHZR5U0l4JJolaspgygfznIy+MAb4CmTigxkSpWB4tBu/KY/3Iu81NpxCEmBgrIBpfaJ8wJP3ACj1A83blbGg3GZ77tFvvGYk8dX9ZMV4kD9t5FSMMblhnMgdQ5pnfgIS+AyUGeM8hivJuwBMsqKv3pk7v/BQFMozzTL12TtEEnMHs3b4zhhoKwBp+fvlVVeNe9ZfP8QwNxh33HhhySVjJ7mEM80UX08/fWVkM59InwFD8iU3MSMgACZ5038zZLuoE2hn7hpD6xn443fXZmI6edAnfQBS9R3f5c0wsvqJd+4lX+RPvzMikztm68uYvmeoEVl2b4In77cEk8VGfYf/+kanvDOXedgO4+B59fIueJIRiSTXVcfxDVweaj7z1ffGhc4i4zKk0hxjG3FmmStHJzlitoODrR89lqAOv9ghep9LrhndNG65UgH0GCuykfrrHXTK3+SK7GdFB3/TfzJjEuI5dCodMr10v/cCBgCIdwCYrtdek0ZAwLNUCHAdIEnftZUv0AeyzF6yzSn77IOlOrYHcJAzTPfpCDDGBuakBX/ob54Qw257PhnTPn4kQS75q+fxucffQApdzeLkeea2dhgPuu3ZfA17qt0if/yVlQlgDY9cD0zhg0kSHskTx/c8WzpzylGe0qBdADbw45kihJ4p6uU+upDHSSKfG+uMYLEPvsuze7caWI0hz9ZFdEl/jTe7lQAa6CYbmdNnvADTPKNaf7XfJJ5/FNF0f551CziySdqZR8/xUyaDuWnS9/yeZ2eUEejzPH7OGLExxsuP+7WF/2Vb+IJO61Jnb9CZDN/WiWPJcPeYQAaWIBJiAIUiGwghdMJJeTI/zMBjfAKWJCAWUEAGNSNilIWT4Syqo1H23bcSopwhAMYck/cBJWZQBJJgE1pRAw6PsnB+/nYPYTKrzIrmBtw1Zp+ADKFIB5ehYMLDAOROWv3wu1mKdxJ87yBIFC7D+KI7DICcrHSKeMVoMmLuEQWyfMU4eS6hTR7hg/frM6VIQ+MaBlXfOWTGkoEmxIwi2SLYnCdjgiiEGTOji1/uA0QYAM9L2m677aplU1GdPMfRsykWHnkHUJ2J656VeSq5FIvXxk1b9A8JmZMP9+O9tmdycDNRxNyJJYQPkBgnvDdh8D+n7hmAo9m3fEYbKRhtvGVk8JShZVzwkOPRhjrhaZ6ggNf4YkwBNkA8q7/LgwWCGTvjTo78LUoF0LvOeOo/g8MoGbOXpp8+llEqwpLxj34UT338cbXT2szZuGmbMeF0gDYRAuOuHQwjo59nrOZSdUYL6RzdIRPkSxv0xftdw1mSbQA0l3zIBf5wXJ7nHfWSB5yJSF+Wt9AnY5YTMcRxZEKytvoRSdEm+kymPD/rcBoT72CYEwxkRCjHOx1Vq6XXJLzKMhLNoA4B0yYrbEdGL79rlDpPLzM1xFjUxy9BHUo+k2d6nFFy17uPw+ekyaNrMz2IvPievXUNEMF3mYTk+BgvBKCTxzwJiC0ga3SMTWYv2HJ2C2ggJ+RJ3pYIXFZGyF2vdI791UZ+RnvZi9QnQALABEL8nqdaZMkssm0SATjqNx3zLvJC1nMVgw3HJ3/jDbtFh9iR5CObwTaJ7JsE4Z/20X8rVHyD9wJI+q79+kw++TWTOHpIl/K0D/rnb3iAXdI3doc99U58RPii74Aun+JefZaDKzqXkWvvACgzhUf78946sbf4stZaa1XXGSP2O5es8QNftRff5KrhN38gX7iydy+9VNkhwE1fyYV3sbvkgm069NBDq3IvZCjBPLvFX5MlbTD5zvN9gUI+wJj7DC/wVfvZW3iA/cS/TBsiq8Z8SLVhRxioa1e6BKNyl9CYQOko7AI04BiIqQAcZQMECK5+mQ3lWnqd0okaFI6OwyYYlEyY18Aw0oSUc2IcKAUeehdlM7siGJ7DiTM2jEsml2auAQHkqAlrRgwZpTwvlcHKA4l9R5A8zzs8jzFiOKrcqYGGRL4HxaPMBBKgy3yfDL2nQc2z/xhbABIgJuSMBYHMXYjpvPGLMhBQxpnzNvMEKjjMjIyqncSgaGvmKSE85zwpIgNqTCi/58p5EJGrh7S9H88YVBFWDoJz4Ejx0bhw8t4nCRngqxe69Q7tSWdK4RgKxiVzE/OgbcbWbLZd/S7jDYR6nvbkrjYzV0vOZuqZPO0HgAZIGT3v1Sfyx3B4BqNh/AHPOpG5TCbHG+PA0JCBLLkBtBnLXD7PyCagwgCb2Yp4iA7QgwT5eU7ns6K6A3ecejY+ZJ4mHhpbvGdsybX2K+cjAsCoAqiAjj4gY+QaMuuenIFzJGQAsHEfHnIoaQyNAZmlQ8aN7vrdkgt9ABz1jw5m0dqcKNWJ0WWoRRTJhvdnFBCR64x+4It2mbhwZLk8os/Z7uajsdqBulyCraco1Mm4kNl02t9FUJfLcuwRYkPJWJ3qoK5O9CQBCwIiyD85JwcZ8TDZ9ZNL7b5nj9i93ABDn8gQGSUHHDOwSf61EejLpHngHqBjX4Ep8sf+kyG6icgbG0TXARS6yT6Tb3JBz1FGddJWZmkcn2V0LM9pJpv6yAaZfPjdPZmwry2+I6dsPh31TtGkZmI73Jc7g3MliK0ls/Xd+eSULRNlom8AkO9EJOm2yJM2s/MIr/SbjedbM+0D37RP8AQf/OTSrnHEe37GM62yIJ/T2fpyfBL7js8TTTTRoCPjtCNzWXNST7/YQvwxhniT6Rb8obF3rz7TR/cYU+3nm3OnvuVm9hIPPEu7yIPJuaVT/oGd11/jxb8A+eyWMTQO5MTfZI59IQeeS8bID983SkCdRkDzzaQDueV3TCDGgcOGzAkUgcZcQgpcIIzO0G8uhyURbA4zK55zdACb6JaaW74nSHluaSb2+4xT4CQTOFDIXK7NpbPMH6iXTPCeZoMPNLhWOyih93Fy+pRlQBgkyspQUUaKQggJo3HTR46ro6rXgKdZECOYifWUgfMW+aJInBmlZkAoFAOQicuUm7JoR0YsKKHfKTDDxZAkiHSPvlJW4MM73QO46EdGUzNSZ/zwzTIF5fC96AfeKoBJgY25+7OwZZ7J6RmZD5a7FlFGurTZ2JCBrDXFCTDyzaTdDDxjQDHJAYNpOYnRYljJgTxK3wPT2s74MBLGhEHAuzwnkwEAcoAYhsASYe7axFdOSb9cC2iTCTy1vO35DJQ+10s8pDwZcxMFBslzGNvMl6EPZAXv81xdvPIck5TMwxM91jYGDcjizCxzuwdAM7lhGF1PNvHNc7RTPzPfyQQBYDMGZAWfEkxxHLlMifeMcC6N+Z28eb5r/c4galPm++ZONjN/zpGDEaEw7uTXc72rOYfF/dpFh3LpNaMqSbkT1ncAXnP9NpQTw4xotKLc6a7d36VNEnUyllnGwmSkOYBALlvVScXX+qYVv7PbdJqdzYg8m8gmIXJE7jLvuR6BRWRCigrZZXNNONgnugp8sAv0UrSMfGgX5+/d7ETaMn4xba4IOT+RB7ZrIyfv+Vlfrb65jcyyzyJufEPmeeWz2QN6QUfJTU4ORJrIEt2uznweuMPSO5o39niWvphYZu5g1oSkX6J27D/SR5OvzMOjq/qvz+yylAnvyYmLccFftp1O6xPblBsD6IT/c5OgscFf/sQEuKqHOTCdwTjQo1ZlhOoTgPnnn7/ST/1mA5OMjU2LdJzvAJ70z/PZLe3kE/gw72EP2W38FvzRdmPnPb7L4AQ7xebZlGLs+Cs4gv/KnGV9t6ExbYQizOwgW8KPSu9xLb6mrXf/sJxI02lQp0K1BpmNQ7Z+IFA1u3w3phDDbjC1XQTGYGAix0tACF6u+TMIBD+jWAbGMp9BMJgiG4Q4Q8KcM8EyUIwUIQfqRJgIqrV5CuP9lIgxz7IZ3sOgcSYMR7MCNhsez7KERwkojvcAWiJFHDXnC/0DO/qRBkT/AQhKJzpWP1i8mQgkpU1loXTaxYCYVXoXZfA8SpJREwTocVCElKEDIlxLQSkEo+B3xi3rgBF0YCEjh3hiPBgp76OQrmUgRUm1j2OmtAya6ErmzwAJ2ml5BYhg4JuP/BGlcn0zb/FUm5HlDsqcW9vxDBirj08CfcYBv82ctY8xxhtGxriSK2NA5vCUsTfbJ4uSg8mXNmkrA6pv5Ih8AnjGVB+1z3PwhawZBwbD/5YUPJv8cmxmzrns2Ez4izcMYJ6Y4Ud/9YkRZHg5BONIdlxPrrTNmOsfx5VlYYyzNvsbryxZmAjkJoIsAmv8yZM2MOD6gh90AkDTfnwwxq7N5PlMZAeA6Z5xMa7a4ho6nKcscMZKCBg317nXuyyt5lGHeTpLMyDTBgCxXmycPNeXBLNAbdqKVoQfrcBe8ziwKUApfn8XiTybvIlskJ9mqvO9TnSXDmdpIMQecKj1Y6XqUVZEJ8gXQJGrC/W2ZLkcukvnPJ88eWZem7vS2SXybaKVaTmI7aI37mluf+ZKe0ZOqtlHPkUOqg1fno0X2inlgC3KiTP98z/wR6fSh/hde/lq/aAjbHg96lYndolu1L/TB36B/wKGE2SywewQ+4VnJvu541bqS24iy81K2qJvfAJeZrSOrmRNV7qqf/rth93MOnJJ+J5Ruzrl0mUur88777zVRIxe6k9GfvnbtKGZz+hevM1xAdDou3szXxfQzDy9LEsC/7Dvzae4sFtZEDorDniX1Rj21GQXxsBvvHCd9/H/CUr5sExf8t6RDuogWtu8MUsSp3yxrIs2LEl93xblWX0cDVROYHM7vcEkrJnbkWd/JjE4AJT72hHeEAK8ouzex6BQHMJFaDLfLHeQZq4NwQPIIH58rRPnVo/U5ckFnk/hcjev9/gsQQqhJUwJ0Ag6xeHs5UMBArltv06erf3AESHMaI2/zd44d4ZJPxk+fCKIuQQFlFFWvMoZV+50M+vLOkpAjDaa8XquvlNO9wMRmYTqc+Oh7YwOwZfnAOD5nhFWV6nuQBlV79burMSepM/6mEewtNoAAeAwat6dyxIMj75qNyIzAB1DRFFFCTkMCpu7Lz2HIWMk8tgfbeIIMuJI5jKHxAzRbM7vxsz9GZk1OaBvnuVdnJKlVI6D/AA3mcNijN2vzd7bilwDCBlDvKLTWTYH+NFXsma2mTl/+MDJAJT6Kd+OLOdSKzIODBogBxBlZM7nZFObMqGZ3Io+chp5/JNxwU/8MdbkyDN8p8/uTWPreXiZmxW0D584E7zhHD0vC/7im4kDXgHnrXbxew4HkQCjGRTU8+raLb0m6Ws70Fd/lqj5d5k4N/rUEa+anakxzxp3SeTIxCOX6zI3rB7p8Q7vIxtZ5LYZYOaORjaSLTKO9LxOnD/5JQP1zVdknry5p64XSeScnrLH2kvW6SB9dBweO85HZeqBZ2gjffM5uczjs5rBpL66PstIITa1XT4wW0vecxk7J/p4lOlIgIyghd/1OTc14bEViroOsSG+y2O88NH/uSRKr3K5O9NC2DP9tKIBxGXkHH9cT+ebKXMvk7p16zao+D+9zvw8ttQzvI9tsGrluvqGPLzlE9ibnLwZE+MHxCoxA3Sx7bmxRDtTHtkG7RERBOi832RT9E2/86Qc7eBLc1cw+csVQvJA9vS5oyP6RmhJE46DM9MwAmBzwZAO4h7dSDhb2zGPMzLjAT4MDsEioATQIGF25tNlJKHVLLJOhJtQEBjvyZ1UWf7Dd56lHSIWBCUJYE6Hl7XTUM7Ompck8F7Ohef4P+vGub9OFJvTYagyYkbwCSeAIPqYRXeTgCl9zxIN3u0+Y88xUxgzMwYhd2gyOPX8Q6HorA+F8jzFdOyMLR6JujCaokUJyrSZMmob4Ma4Am0MhWgehTMWgGcqVt0ZMNSUikHRDs8nu3ltPUrXCqS7DgjMGkL6bwzSSDOYQBQwQ4mNlb7iL6WtLxUBZfrF+OsHYOJZgEaCw2wzHWM4zNSz2HLuYqPoopsMBcoyIhmpZFSMSc7ycyy8r9UsHeWyoXExhoyR9wNEudPbNcaBPkhwBuTTIOkHgMcZAbfNEcHcJKKfZArfRBw8B/DyuzEw1qJ7qXPanJuK3GMCQc79zvgbE44c740fJ+MevBctJUuZCwfQaj95ofPkIh25iVrzRpQky1K5HGpS1HwiQu6AHRKoq0ejO6LvapQuKctgtKOsVZdE9nKDk0l5feOKCHjuJCZ3zcvrOSl2DQdeT0HxXdr6BF1khP1rthVkjOxlQW/E9ucufDJZjyImsbcACTvhGjaCfLkXQMv6p1IF2Hk5wWTbJizymzmw9NokJUn0mY0U2WJfU7bZcWCt1SkmCMClp4iOsdWASyb546HPcsUBz3IlJcv5JFkaZuvYD/3ia9mVjNSxlcAcEJXBBzYobQ/9TV0DJj2n1aS71URr/oE7TvGWnWBDTBjZFD7AhBUf2Y+67c2C1K43HrmEra/ez8bl5hV8tGpCX9lCPNU+csMeAIHJg8yDJzvGFh4A/Pge7/SuPG3Kdewu2ci8zJEO6hh+yzt27WV0hxA1J3KPzpT1aggpBTVwFBhIyG3hhJkg5oyDMEDWrcLorSiTv/N8VaAE+V2uEUVkMOqzK5TnZCL5SpYO3YPvzeUSEIdmtkZgGS390ZdmA0bJCawZFmUnjDnDIeBmtZQnjQ9FtbRbF6wsz+G6rM3jPfrgOuCKcasrX55dmEROACIzPopAhvQhz8qrX5tFH3NmyAgAGPhDkRk1jp4zZUDrM3iKZzk6gTSwJ2xO4cyujCcl0qdMtG0m4Et/gN8cczKRSs2QAqOcR+b9MXiZO5GzfEbB9VlGJAtbUm7tIWs5YySDrrPzmKIDzngAGOEDQ+EdeUyO/JuUSTJiLBgRssqh1McBv5tz6xA+WmrGwzz/FNAhs54BXHMMeMnh4pXniSQba3LFEAM/AGUC9CTtzDOR9d8yjRwUP6JlopNOngAK8cz1+mBcvQMgz1w27yCjZI+BxVftIQe+A64AXGAxc4SAXkuwQK/2Zc6M5+TuVhHiVjPjBAW5yaFZ9znK3PzUKt8niVy3y6cr9P8pz6luR82bJYxxRtjypJtW1ArUGU+TIjLfDNbpV0aMs3pB2p/mnMfmXdAmvSLYJsv6Qr4SLNXJhMTzyDU5BH7yWZmTSgfZavbSpICtocOuzfIcfE1O9rNIrpUF7aBzdZnNk1VaEXCVhYPz/NTcsMdG5NFYme+qrSZi+MqWCYYg9p0+8Ff5Pm3go4wdf+Y57Ds7WT+sPsFt7lynW2xJqw1GWZi4OdAx58DyOMAb0KQ9/ve5lYNc1uR36ie66Dtbz58aD74XUMdv/TWh0Cbyom9ZQ1XfBRm0k09gK00CTCRT5jJX2LPIheV1O+6NMdnjP3NzhPH2zDwhaaSCOmDIzECtuhNOOGGQckGdBxxwQIwpJPExQ6H6YjZEEfwQEg40FTcROCXlPIe2KKhICqUCsAwigwAgWs7yPgpj8OpHCLmeQuWM3z2EhGMjcK2iSYxGLrUBgZlL1FyCJdtEwQir5b86gPIuQoYHvhd5o7z1yAF+aYNlUkpnBpnHnVFGyu/9gEw7yrPusswDPjMAraIcFEi/gQbKlxFhSkoWySAnru/aCcjkmJk9UVCfUzDOXzu1WRhdqQ/vxCtKWl96QfqVJzQkIEd5zJv/9VWuJIMDFGQkBogAgDyTk6HMWUPNTA6fGHRAKgtDmzFmORRjwWAYI7NG72EMfCe6y1ghUXKyhJ9kJ3eake88OLxOjE2G+ZOyfpqxB+R8LzqV+ZcZpRUF5igAIWNoiYQMO70CSEvSP/ojRw9QZUz1i3OhO6IBddBfL84rCsuI10vjkO0s3k3WtdX9bA+DiEfGg5HNMzMzqVkfyAjjip8MNCL3ZCH7iIdZ0LYdtYoIJHl2q1IlhUY8NYO6ei6sMeBYm3OR6YExqh9lVQd19Z33dSJz5N91GQ30d/Nz2KlMFfBuss9m1PO8csUlKXPOyDtdzV3iZJuusw/6Wp/I8wXAg/SeLHCeqRXIO9hF9iFBafNSdS4RtiL9wEt2VJs9Fxj1HHzOMlx0LI8v8z6TQDqUZzgDelkYHg+MiXa4n60XFDCGJnP+rq9oNC8RA1jAWCv90ractNdpvIElQ/Avy3DRcyDOOLPp3suXaVsuNesTu84+mCzzN/hvbLMocr63PkEATmED445P+sxOalv62ASamT/JV7CP/EJGat2bp1jwj61yoEc4qFNWQ8iRkazPOs0exqQ6dbm7lGMijGZ4HA9Hb2ApTFYZF+ER8XHNkHJi6mRgCLLog4ETxQISLAll/aI8ZSKJghCQOthyrecQ7lZADQEHnH3OSAluq92sBJygMx71Jd8k94hkMBQUq7mkgPsZLYrA8KRyJ9ikHELUIrnNRx8h/ciyFO7zrLpTb3U9Qc/QNWXxmdwuADaXAhgVz2MY8RgAB2ApS9adS6WkTHhvLCmNHVtAqPfUDaDP9M8769FUY+DaNI7alhGhnAgActqXS+/aY1wzmpN9NrYMJn4CZcYQqDYO9Cl3fwFPlni1xbvSSXheAo3MfWQoGUBlD7LWXxIj3XzAfAJN/M08HHKJP5mjBHzjJUeVxYrzpIWMYNRJm01k7DbVbvflUnrz0TfJz+SfccIXoNqMGjDXZzwzXlmCJIvTijAbc1GArNbOKWUk1n14lUfoJfkcKNRP/dCuLG7ailqVNUry+Zh4ss7YAOqal8TzhImO8q6SMp2i1bI6AgTIOgdLRshqu2grHc0jM9me+g5poJAs1ncz5jvJKVvMp+amG3puIi8KVCd2K32Te00Ec2OCSJJJmch6buoDRpp3C2cqRauIPZ2jI/IHARfR7iwGnP3PzQt0T5vTnmbOKF8pUl/3lQmePdskO48Q1G/tqKf96HseAMCf6Jd7mle0ms9ZbqYFFlig8oXabKLLxvGL7DWfz2YgPi6jdVns2GQ/Tz5C+l6XKc9ttmNspvx0tj9Pqqj7T997dj2qq9/GMaOJec51Hk3Hh4x0UIcRdug1k4bVj1IZ3Qnjs0ik/xl4xVMJKsUEPLIMAUWE/NvN0uuUOXAcGaU08ACXnCEDZakpl2gIqedmrTVEKesnFyQZXErQavkVEdpc5hOy1ad2BMiKpLTL3SH0QsHAe/NSU+azGO8EB/WZMn7l0T2MW71vCSByhpbHxBDydOrNJBwNwHhXGhOOGO/SCOfOSUt5DL5cMt9T9qw16N7cJODvLIORJ1FkBFPxSzM0/aDEDG9zUrQxM854wSBnvSV9Sn4wYp7NeFJsv9cBuTYYT7zwfkusxsRzPY9hE4XLUh6MLJCcmzEYgCyYivCS4fUOPyZfZn76UV9STONaB6/1Mg+AZxoccmg5xf2cRy65Zt088pZ1FFuRPngu40iHjEXuKKwTGRD9yOXaXAqjmwAxZ5FFi/UT+MWL3DRkHDgq/MyC33n2LAeXfNV28pR9xx/OKCcLyEyefNWLWiPvyxIw7fSvuSZeoVED6shWHWjlCRN1Yj/qx8XVif3IjXLNRL7II9BOr3P5vxXRHTprUtG86qB92p2bBJA2uo5c5i5bdous6wMb2vwudkI+KD9h8mzHPLkECoAp8l7Xr+Zj7Opt5adyA4Z7lUliZ/QToGJb7NY0OctTNvCCfaFD7AR9yImO/gFooolsGl2zKgVQsx255JsTbD4mc820o75ilecl82VsN7/RDOrYsTy2sxXNOvAZ2mtymMXnEZuS/afz7DdbbQxyop6T3LyeL9M/n7EPrSZ4JreAnefkEZdJngkDkIW0sXjNp/PvZMfEMEul5K7dkQ7qNLpVkWFKMyYtPzD8BDtr4iB/ZzXyrNsmcgYxt9pKXSeOTkhZ3k7W9rFURcA5F+Hw5jAxIJJ1rxDDkqUkWvGdgrXL5WOQKA5HmFGNdgScNgOVVtTqXZlMbIalv/VIj/bnFnWKC9ACBfXlPu1LcECYM1GWY7Z0Uac8ngs/tBcocy2lqwPfnNV4LwfO6KWi51FsubMsldTExI82A3JZN88uSUZERMmMiaHJZYRW0SWKTRn1Pw1GHmif4+Idlv2AkXruSCYlM57kLOvBZfkEzurAAw+sli0Zb/08+eSTq+syUpmpANpgGTLHKHduZZJyffwS2LWKQHkHsKQdjJK/Hc2GHwy7zz2DzCaIakeMpDFTt5EcaGO7yQZ5zZNQsji22TAeZZ5P1rZCxtM1uTTMQeTyFp02EQDyyRUDahztdmNkORqgwKSLEa2DMd+b9AD29d2KHS29Jl8LjRqq16prPmcXZRWDdJwZrW8nq2SpHVAj/3mai+eS6eY0jSR2hk1pV681ARtKu0/ec5XDfewVfaS3nlfPI8sIPr10j4kGv6R/NgDVAwZJrc4mzjOnpWiIqPmbjaMv7BR947/yvlxV0KY82QXgYNebI0mAH91h09higJDdNSlks7yXTnuGVQW2hu3UznqpqYyMZaH75jOTke8B33bUpUuXin9sgJ96QMT7+ScTOHbfGLMf+s5f5/nayYMcI+3FL89rFxTBYysk9XIsSewNHnguv5DHs2UxZqCZ72CzRxmoM1ASuHP3TG4PZrg72rHUETneB6omxDokOX9oSG6B9w9LKRWJ9mZKIg11gyyULN8KCf0CLpZLW80GDJ5BtsTkh9AABZ6RzpsS5GyqmRgHRiIdLCUhuM1LWUNL1vSBSu8a1mcMDVFCgkjhOEu8ySXINI74SjDxzqwyz8eUw5TLBQQ8jxejnPIyOVw/Ip2MjnckaGK4Mq+xPh55XmgSZWI8GTuGOHfSZg5fUhbq9G6gGxjAPxEoY7vXXnu1nZlnXh3jQ4FzJ2rWZcrxZsjznc1HROVMkpHOJQhggyORD2i2Sx58n5sXyCOZ06eMVIrmeU8rGUvD1W4JllPkCHLTRe7azd3ADJf3kGfA0xjl5pUhFRsHmgBNBpAcaH+zA07KnbmZ26SfgJr2aBuecoB44XnGxO85wcQz7WeXjF297mKWDdAPPLUULM/OWJt0NYM1vJUyQaczytluI02hUU91e91cWzKpvmEi7Xw7og/tZDntDF3l+5rLnjRTu5UUREcTJOSmn/rZtnQgJ8B5JFaCOrItmpQTt0yqZz+tiNhIVJ8wJuUuSpMy14nG0WO6A1zJoxVldl3yNTdN5XJjLhfmaTKZX0ufmze0mEzhQdoitkVb5ejSUfflZCqP3AMo+f76znzXsnnGzRjofz3qRcc7SodIyqPRtLs5Z5LdJxuepd1SX4BH7fdctjPTV9gf48du8kn1pfUk9onPE/Ukk60mEeRIv1xLBtiXbBeAzteRAz6jVfrSSAF1lig5Ah0kUNB2no6gAHFnyTZjS0Uq7OdxJwSqefmjmThD57fVawJ1hghUq2NoMNbAcc5C0a0ckYgLhRLhAQC0QciVYHR0KkMz1RNIETDbUYRtSERItbtVrtyIJA41izNTigQ99fwGjjGvYQwpMr4BWjnryYO3jTVBpvhmingpWuI7IJ8TppwML2PdDF7qwAnlkkAetZMKSE6b67SRYYYHeALG5aEBLWZrAGjd2LUqYwGkmZ0niCYX9ShofaZcN9LZTm1nSIw7IKfPrvGcnCRl/ljWaEqQg/C33ZI9IrvkC+9bbZYg6ylzmRtJnhmm3MSTO3bt1gIoGWLXdpRuQRa0MY83IydArSVj42I5hKPxuTHBS3zwGZ74u75cps0JgAE3IEub8CqBHV31uz5nREQ7OTv8S6dHZ02mTLaMfytHLOIA7DGyeV5s3akU+vYp821b5cLVN0wACx3lO7JDHZ3gAWCINvmf3HS0M7cjSt33rJwUsVu5rEhfyG7WWMyyUYg9ADIyEsfe0AUBCNGydrnegAWAwYaZqAg6+J8tYXPry8Eod+XjBz3LEhvalCCDjeKrM/WjWW9M4Jop89j8sOeuyRqk/BYb02xPTLThARO05iAFvrWzzXUiG+yPn+Yl8TyLHXjNkx/YpgwSpW3O3EP8t7LCXvEv+MCWiEwCyyaBgBogWi8v0zweudQPPJPh9IfGOvN8AeF2O5RHOKjjUC2lQLU2Fdj5J6zKAQ6pYnorOumkk6rlMg6dkIvOUJqMlrUigmcp0hmfrYoRDg0x9ga8OYTqeRy8RH+Mz5lJ7kYC9AwiIReuFqZuDgsPLWWNH7MUis5ANdeW6+zzAIwhLRUPLwE0lMr/nF7OlPOYqaTcSEAugGcR2fq5fRTVd815d3mqRjpouWrexYjkWaPNBhxgqBNgC0BQogR1WTi4Ts21xTK/xlIGGcs8uWZikBiFrDOHGGHGqT6Lq4O6Voe544vJhfcwKJ7HyGh/fSklywKQN2fX5pIi45o70tpRblBIymVMgKZ+PmrWNgQQc8cbZ8jAZG0rRpt82Rhl5m/5hty6FmilIwC8SJhxdY3nap9JD/3CEzzTBs8k+/qDp5yIZzCKrcow5FmreJ/lAzISmcfM4UtGIiVAmxjkQe/slGiBiSTnAti1ozw/lK0bmnzaQqOOMrc3nXsroheW/chMq3y5oaXMJRvekz74Cf4zz4HNFIl6IECbM+KDskxRHgFZJ1Fn4GhI5wSbrLIzzcGJVrmHdXvo+9yFWt/MRr+zzEsrahfYyN2fxs7z8mg3fGAbm4+A40uMW6t8Ojayo+hrEv7x83xTq/ays+wH28TH4GXdB/s8++1zdgrAZnf5PmNlMgkLiHqa0Gt3R8Ed/NUukeS0g0n8o755BrvYnJI00urUIctNtlU763RYdmggDMldgoMa1KVL9Xfma7Uiy78GWaLokIjgMP71H9RuMwGwZmAJHYYTqjyEnRER5pYr5/sRMXM3ewPqLBER6uE9yJuTa6dsI4oYJzMYRsYMKPMBMp+urhB5gDSjwsA27xji5JtBHcodV/WyK2ajZqeWYOvJ/3n4dp0YT8bQ7DKNvuv81HegtVpWo+QcOmXrKGesGSSKtDbLVBabRAwWg1anBH2Mi7bhq0lN86HVaVRzpyneZqSrmaftljbrYJiBNTb4lknmuSSkzWTfjBQg4hSBUbqqXd4LEBmbTGOgH6Jv9A3fc6LG6QCsHASjSVbwO5e88NkzGUNRWu3Jg9LrZOwzx4QsAZq585cjyly/PKuTrnKM7ITf8VmSuY1ejG9Hp8HUSVQDL8omiNGLyGjWSG3nQPPM1aFx/h0RUADUNZ/521nKkxm0ye/1+npJdIMjZ5foHbkWNSeHzVGpLHQ7PHacrtZtab2WX91+53F+2oXfw3I2cfOKSp5jnifm0MlWxdHdU+9npj21itC2IvaiXfAnz6/VLyt/eRxgq53UufmN7cnVJHY7jxEdWmJ7c/dxsx3KUidWirKo/kgFdQZfBA2w0VlO3dKaA9OboydDQ2b2jHizovi73dKOmffZZ59d7XAcGlJ5m4PPn2Ri1htqptxJSeCAB+3gqIWtW+UQDC+lcnCUhGlMOMg7BTjP38wzMZsNFB4DIMBMLp01R9p8Rg7qOVBmQ55nvJojl5SIgxUBqgM576o/AzDIEgP1CHLzxoHMoUgCFDynVX5aM6UxQFkpvTnEn9HY7HOz8vvbc0T5MtrG0DT3O0+nSAPMUNkJa3I1pCV/3+dO7iS8oUsJVrJifrZPno2ZKDJ2WayXfOItp2osMnpopgroAbrtNpcMiYAn/Wt16kK9DphnM/IZfcPzHAc2ifxwICLq+mFctFP7cwPP0JKJm2Wg7/opD6MbkT+Tjo5ADfkQcR/W1Zwk9oGdGFI+3ZAod8PTD5ORVjlhdNX7crMHUEWWWxXeHREkrSHtAhuln7mUy6aa8AmEZHQ/j7wc2klRnehqPRpXP8VHO+haqyXH+hJ1MxgcGppmmmkGqzPaTMCTyZ7JX3NQRf/1Gw+8z+RTW4Z1dQ4Zyzz/u1VtRDKRqyL1Xd4jHNQZcADODjIomfHM88qUvqA8I5sIg5wngG5ohVxB5Axj+skdNs2RkDphJmcpEmGGNDJ39TISEDuQnJGkMcWo1sESp9qqeHDOdOwkzSOr6vV+chzry6ciesZJ/bFWiuuZfiz9Zb5D8xIsuTTGwGEziMzZIHliZOrvGFKZjjrVl1ZF94CcVu1lALK2WivKQ6DNAAGIdicP1CODgBXD0Co5uhVpW71mnX7nETiIg6wDSbzzPYDrnXlkXj3pPCMYCTTx2YkUlsmHdTcoW9JOt+uV8OuGvp7QjHf+ZgzxE1A2OcuSJyM7NaHQqLM/dHVI0Zo8eWV4KJdIs4D4sFLWxBPh4czbRZsyncK7RP9zE9bIoPoSbIKl5rakvTYhMkli84YF1DVPqusF3/McWfam+VSXPMs5ybh3tOu1s8TWsiWiY61yL+vpKyacJvAdbYgZGnnirwQQ2m30sFqZJW9GGqhToFWOkiUMBtQORUsuOmuN3axexK4zlFW6m5ff/P3/2jv3YJvKN46/fi4xOS4ll1MugwjRiEmRlAxilFFpaEyUVKRJ/cF0QSUZoxmNUU260EyTytCYhOQyIaHQSFJuI+WS5D65rt983pn3zDq7tffZ++y91zl77e9nZnP23uus8+5nr/W+z/tc6wdYrJjQsRqw8DkFiL/JpM3PQVq+a+vif0AiMzoXtut5mm1cAVxcVLGuufKMa3zs6uKx8Afd6CzE3ITcmLgQ2elw/bhOB66CuUtgQDHjWHZHiYKbORdJE1iruMliM1tdQ3tuCn8NPCxerrRJkOs1qJVQPFwjaj5LomxQrmVcgvE2B66XLjF8KB7xkmX87hDuNzY48VoiBf0Nf/FTV8CU87jEA78suDeRFd8dv4PFk0ndX9qDz4+S7L47YgORdzru/0TKoKutFTtHcE9j/XDXFBMi8xKKLMHLXEvIl8U0lUQmUX5xYQ3xirFnGu5dNpqZmKNdLF1QAgA4azf3FQpdNjf63OdY6ZkPucdj5z7/Rop7nbkpURxjSbjzuT7mzgLOOJj7/YXIHRzr7lt+RqlMxw0eBBtALLFBSrbzyDjjQEntAJMBWXK+eLHQbLqZb/2x0MmS9AyHEkev16DAcSxa48aNsxkgqe5cWJhRFB0oCTwPqqPGBcfiiFXEPbAeMiZ+Lu3uIRa+WBavMJQ6LlbXpirdeLowcVYq4pOYgAhAJzg91g2P0s5Cz87GddHgenE9AoHFF4UAyOREcee8yUwQ7BxR7FjY/ZsDJgjGxfux/fNc1fZYRYbfYbFIxdXGjpvA+0SZz/w9lKNE1mUmSyY7fzZqLM4aiQKN8sdulefxmnMHWQRd/0k2YhQqZdFAfow9dvHAWsdncy4hFxPol49L9EChYgKKrYCfSZhImVCZI/zlc8A/AXK9ccycOXPsPcXizzyRzTI/IlxY9LCAJ2upTheuo3RcbrF9grkm453P1VdjIxJGLKerA+mKeQeNxc2tzKmxyR2p4BKdYuvOcU7ub9Zef1wdHgK/18Jl6Ge6LmRBQYHtCRtk1eVvufCTTMEGNV4SnoO52V9PNFmS/maYuBP5pak9Vhqtkiw03KlMwChSZPZxMRNkDWSnuZ6yfLnO9eYeLMJ8IfycbE/WkuB8iQpSZho+A6bWXFLqXNArNwHjpvwGFjDKvMQG5WM5YZF18nQ1fJzVBfM2Cg0THefkpk/kHo9VqjCJo6S4icdlVXEuXIqczx9v50qboKT4FwU2BqnEWwFKIedKVEYGZYzJKZEbH6sZyqfLhg6C99ihkm3ueuDiCk3UZ9cPyiKWPsaLhZhrnPEjq6DJA4UNufG9EncS1OLLNd0mQxRlPdtlP7AQo9Bxrfgtgs5iyHXHGPisTIrEyjB5puMuEeUPrjmKcocF80xQMdlUcYXS43k2HNzfZJiHAXMPIS/cI0HKkiuSDunGFQLrAMkisVZWNmN4XVxN06B4upIKDqdDonh5F+Lh1pZ04RzxOpw4UJyDundlTKnjQkxk8uS90hTLI25q2rRpZvz48UWFUrEOuL/Fxe8qg4cFF/aIESNCq0vFTYKFJqi3XXnFNYsGLGsoSljFyHZkR4Nl18V/YV3BSuKfMFAAcOdjZUKJ4Vw8R7lgQktlJ8jujjguUs1R1Pj7WFldXTi/hQp4D0XIv9Dz97nOUlWsOb9rVJ9IVkzgiRQLdqnIqKQ6hViksGK7CSioz2U8sMSxqKAU+us7Mj5kEuvKZfJFtihPKID+wGY/ZMDGtkHLFi6T1yWgOLheGKtz3XAccZxcW8luEERukUwyU6Zg85JsWEYiXP9PN0fFg/s73uYu07DuMFfG+3yupEuyBX9LgrUinlLHWsJnd43s/UodczSyK4vOVbVr17bGJgwHmbDYJkuyGb5+kl45Mbsm8u2zMAQ1CE4Gat0RA4UWzETsd+GQbUM8Xzx4j6KtmSZMVw2LJ4ttrhU3ZaLj5vPXp0NuWEaIX3J1/bCWxAZ8chxxDChywO+7zFiUw1RhE0B9NXrsosCxs3ZVyJmsXL0l4DXnDnagKLBzStWs71pylQQW55IUVTpllLQL5XP6M0txhbryCKncx04JZaJksiKjnQk1tqUYypFLmkBeQfLBlUBCURhwnaDEBinI/mQQLLQsRlhicyGjXOQHzlKH9TtMpTQR3NPM1/E6pvC+K1ieSimReLAxjG3b5S+VhdLn4vj8Nepct5myok2bNrZiQJhKXWlIOgKTxZbMtHjKjt+9JVKDhdq1f8klWCxd9mNsHBoKH+56Ji9uhKB+tlilWKDZ/aDIU5uQc5bWYolShrKCUsek4YJZXYsXv+sAJcQf9IxrMZvujmQsj/FaaJUEShebIRSzRJCWjyWTxQQ3B7JydQaZuIk7o8MLcnG7Ya5L3qM9WGnrUWYSp5AHKWpMtiiozEXcUzyI881UWIYQ6cI1ypxZmkL92SSZdlvM4/GSO1K9h3ErBpV3ch2AcAezeSWL3Sm/rBXxOueEQatWrayXoyzHkFFLHS4m118y6MF7iaqzi8QXeS4WN2VhJQ4skcuSawMLVLxdKTXOSJpgd4aSl06hUK5BJh2uVdwJ/nABXIT+hAkmV6eIuhZa5W2iTRbXEqmkjRUJSChpruchkPHmSpkgD1rkMHE5mTDR4j5HCQwrKL0ksPDGqz3md0cjk1zKKBfRxxUYDytrN1M4K1qmrFTxFEM8OljniIPGWOCKiuNhwEBQllayKlWq2LCVsnD/ZsVS98EHH2R3JCInlTpiAVlkSwuLLu5RrGjcxOkEwaLEuSza2LR3bkR2fc5C5QfLXpAlMZdwcYPx4sdwXTCR8p0xMZLxSgwrcvfXbsNa6FqAEe+KopfN4OTSEM9N5HbTlFoiqD3XMspFfsD9F0ZlhUzDxjjdUh7J3NtYBLlvSXxy3gvCQtItIp0JslkzMFOoaJMoNSgJWMfS3XWyALvMxXSsZS5dHoJa+gRlivI3+duJauLlAq7PblBnF5RlSs64FHqUWiynxBHyf6wbBAWYZAwyWjlfKrX7yhpXiR+lPhPxP0JkGkI/Ml1nLQzY+JaUsZkuJGWx+ebvUN7KheKkUhQ+35FSJ9KC/rvpFsdEqaAkDn1r04VzocSQwBEbo8akENvAGksVE2yuJanEwndAvCCKTCxktfLZ/btsdt0U5o1tR+YgHICgZCx2TLS50unEJUzgao8thyBEeYD7VEWwE3tveLAxZ4NJAibhIOUlsaS8oytLpEWmemJmqi4gQfSkvceWvHBjRUHxd54oTW268goWT0oF+MFyiaUtto4eCwuPRC4NzofVK9dKgqCku24nua6sC5Fv4IKldAqWQe5lPAq57kkJEyl1IlIwCaDEuKbUQYqKS5hgB8jiHxVrDgotSQ0UOnbQz5DizLGWARTewYMHl5gZivU0F0uCUFC1vJceEEKYuG25iO3FYod3JV4LRvFfpNSJSIGCRrJEvJgVFBQyY1Hognod5jqugLdzLfM5M9U+L9fkUFIbHiFE+QNFjtJLQGIbG1VlsSePlDoRKVx19ESByC6pgGzR8pTVmQmIkXNJJytWrCiW2ZpPYJkMqyK/ECKzECZDhyrmsnhxvyIYKXUiUrgOC4lqCaHIbdiwwboeo7bwo8xQLoHMVdwYpS1oLIQQZQVzFx1u5HpNHSl1InJQBDtRtialWEgSiE0eiApktrouHUIIkWtQhJjwGIoOuz7XIjlyp06BEEmSTOcDSqik2uc1lz7/8OHDI/v5hBDRhpqjJLGVpg94viOlTuQlUVd4ov75hBDRplu3bjnZPrOskVInhBBCiHKFOkiUDsXUCSGEEEJEgLyz1LnemCdOnCjroQghhBBCBOL0lKCe3vHIO6XOFTXMx4KsQgghhMg9vSXZ3rcVvFRUwAhAP8g///zTVqhON5gcLRrl8Pfff08q41Kkh+QdPpJ5uEje4SOZh4vknTyoZyh0hYWF/2n1GI+8s9QhmGuuuSaj5+TC1MUZHpJ3+Ejm4SJ5h49kHi6Sd3Ika6FzKFFCCCGEECICSKkTQgghhIgAUurSgHZTEyZMsP+L7CN5h49kHi6Sd/hI5uEieWeXvEuUEEIIIYSIIrLUCSGEEEJEACl1QgghhBARQEqdEEIIIUQEkFInhBBCCBEBpNSlyNGjR82DDz5oiybWqlXLPPLII+bUqVMJjx89erRp2bKlqVatmmnUqJF56qmnzPHjx0Mdd64wc+ZM06RJE1O1alXTqVMns2HDhoTHf/bZZ+a6666zx7dt29Z8+eWXoY01H2U+a9Ys07VrV1O7dm376NGjR4nfkUjvGnfMnTvXdsHp379/1seY7zI/duyYGTVqlGnQoIHN0mzRooXmlizKe/r06UVrJN0mxowZY/7999/QxhspyH4VydO7d2/vhhtu8L777jtv9erVXvPmzb1BgwbFPX7r1q3egAEDvIULF3o7d+70li9f7l177bXevffeG+q4c4G5c+d6VapU8d5//31v27Zt3qOPPurVqlXLO3ToUODxa9eu9SpWrOhNnTrV+/nnn70XXnjBq1y5spW5yI7MBw8e7M2cOdPbvHmzt337dm/o0KFezZo1vf3794c+9nyQt2PPnj3e1Vdf7XXt2tW75557QhtvPsr87NmzXseOHb0+ffp4a9assbJftWqVt2XLltDHng/y/uijj7zLLrvM/o+sly5d6jVo0MAbM2ZM6GOPAlLqUgDFAT1448aNRa8tXrzYq1ChgvfHH38kfZ5PP/3UXvTnz5/P0khzk5tuuskbNWpU0fOLFy96hYWF3muvvRZ4/MCBA72+ffsWe61Tp07eY489lvWx5qvMY7lw4YJXUFDgzZkzJ4ujjA6lkTcy7ty5s/fuu+96Dz30kJS6LMv8rbfe8po2beqdO3cuxFHmr7w5tnv37sVee+aZZ7wuXbpkfaxRRO7XFFi3bp11uXbs2LHoNdxP9JNdv3590ufB9Yr7tlKlvGu9G5dz586ZH374wcrTgVx5jtyD4HX/8dCrV6+4x4v0ZR7LmTNnzPnz580VV1yRxZHmt7xffvllU7duXRvqIbIv84ULF5pbbrnFul/r1atnrr/+ejN58mRz8eLFEEeeP/Lu3Lmz/R3not29e7d1dffp0ye0cUcJaRUpcPDgQTu5+kExY0HjvWQ4cuSIeeWVV8yIESOyNMrcBLkwaTKJ+uH5L7/8Evg7yDzo+GS/i3ynNDKPZezYsaawsPA/yrXIjLzXrFlj3nvvPbNly5aQRhktSiNzlIoVK1bY2GmUi507d5qRI0fazQudEERm5T148GD7e7feeiueQ3PhwgXz+OOPm+eeey6kUUcLWeqMMePGjbMByIkeyS5yiThx4oTp27evad26tZk4cWJGxi5EWTFlyhQbvL9gwQIbEC0yy8mTJ82QIUNsckqdOnXKejh5w6VLl+zm/Z133jEdOnQwDzzwgHn++efN22+/XdZDiySrVq2yltA333zTbNq0ycyfP98sWrTIGj9E6shSZ4x59tlnzdChQxMe07RpU1O/fn1z+PDhYq+zqyDDlfdKmqB79+5tCgoK7CJYuXLljIw9KrBoVaxY0Rw6dKjY6zyPJ1teT+V4kb7MHdOmTbNK3ddff23atWuX5ZHmp7x37dpl9u7da/r161dM4XAegh07dphmzZqFMPL8usbJeGV+5vccrVq1sh4A3ItVqlTJ+rjzSd4vvvii3bwMHz7cPqeKwenTp603C2Ua961IHknLGHPVVVfZshiJHtzIxFmQ6o7/34GZnomWtO1EFrqePXvacxCvIavGf0E27IqXL19e9Bpy5TlyD4LX/cfDsmXL4h4v0pc5TJ061e6ilyxZUiy+VGRW3sw7W7duta5X97j77rvNHXfcYX+m9IPI/DXepUsX63J1CjT8+uuvVtmTQpd5eROXG6u4OYVarelLQVlnauRiSZP27dt769evt+nulCfxlzShtEPLli3t+3D8+HGbkdm2bVtb0uTAgQNFD7LaRPFUeFLbZ8+ebTONR4wYYVPhDx48aN8fMmSIN27cuGIlTSpVquRNmzbNlteYMGGCSppkWeZTpkyxmdvz5s0rdi2fPHmyDD9FdOUdi7Jfsy/zffv22YzuJ5980tuxY4f3xRdfeHXr1vUmTZpUhp8iuvJm3kbeH3/8sbd7927vq6++8po1a2arG4jUkVKXIn///bdV4qpXr+7VqFHDGzZsWLEFjTo76MorV660z/mf50EPjhXFmTFjhteoUSOrOJAaTz1AR7du3eyiFlsepkWLFvb4Nm3aeIsWLSqDUeePzBs3bhx4LTMxi+xc436k1IUj82+//dZuxlFOKG/y6quvahOeJXlT2mvixIlWkatatarXsGFDb+TIkd4///xTRqPPbSrwT2ksfEIIIYQQovygmDohhBBCiAggpU4IIYQQIgJIqRNCCCGEiABS6oQQQgghIoCUOiGEEEKICCClTgghhBAiAkipE0IIIYSIAFLqhBBCCCEigJQ6IYQIYOjQoaZ///5lPQwhhEiaSskfKoQQ0aBChQoJ358wYYJ544031FBcCJFTSKkTQuQdBw4cKPr5k08+MePHjzc7duwoeq169er2IYQQuYTcr0KIvKN+/fpFj5o1a1rLnf81FLpY9+vtt99uRo8ebZ5++mlTu3ZtU69ePTNr1ixz+vRpM2zYMFNQUGCaN29uFi9eXOxv/fTTT+auu+6y5+R3hgwZYo4cOVL0/rx580zbtm1NtWrVzJVXXml69OhhzymEEKkipU4IIZJkzpw5pk6dOmbDhg1WwXviiSfM/fffbzp37mw2bdpkevbsaZW2M2fO2OOPHTtmunfvbtq3b2++//57s2TJEnPo0CEzcODAIovhoEGDzMMPP2y2b99uVq1aZQYMGCC3rxCiVFTwNHsIIfKY2bNnW+sbCpgfLHW89vnnnxdZ6i5evGhWr15tn/MzVj6UsA8//NC+dvDgQdOgQQOzbt06c/PNN5tJkybZ45cuXVp03v3795uGDRtad++pU6dMhw4dzN69e03jxo1D/dxCiOihmDohhEiSdu3aFf1csWJF6y7FderAvQqHDx+2///4449m5cqVgfF5u3btspa9O++8056jV69e9vl9991n3btCCJEqcr8KIUSSVK5cudhzYvH8r7ms2kuXLtn/scT169fPbNmypdjjt99+M7fddptVDJctW2bj8Fq3bm1mzJhhWrZsafbs2RPyJxNCRAEpdUIIkSVuvPFGs23bNtOkSRObROF/XH755UWKYJcuXcxLL71kNm/ebKpUqWIWLFhQ1kMXQuQgUuqEECJLjBo1yhw9etQmQ2zcuNG6XImvI1uWmLz169ebyZMn2ySKffv2mfnz55u//vrLtGrVqqyHLoTIQRRTJ4QQWaKwsNCsXbvWjB071sbLnT171iZE9O7d2/zvf/8zNWrUMN98842ZPn26OXHihH3v9ddftyVQhBAiVZT9KoQQQggRAeR+FUIIIYSIAFLqhBBCCCEigJQ6IYQQQogIIKVOCCGEECICSKkTQgghhIgAUuqEEEIIISKAlDohhBBCiAggpU4IIYQQIgJIqRNCCCGEiABS6oQQQgghIoCUOiGEEEIIk/v8H6bfvZ9eiS5HAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sims = Simulator(\n", " X, # Design matrix\n", " effects, # Effects to simulate\n", " noise_std, # Observation noise\n", " n_channels, # Number of channelss\n", " n_subjects, # Number of subjects\n", " tmin,\n", " tmax, # Start and end of epochs\n", " sfreq, # Sampling frequency of the data\n", " ch_cov=ch_cov, # Spatial covariance of the data\n", " kern=kernel, # Temporal kernel,\n", " intersub_noise_std=0, # Intersubject variability\n", ")\n", "epochs = sims.export_to_mne(X=X.copy(), mapping=mapping)\n", "\n", "# Apply decoding:\n", "scores_category = []\n", "scores_attention = []\n", "\n", "# Loop through each subject:\n", "for epo in epochs:\n", " # Extract the data:\n", " data = epo.get_data()\n", " # Classification of category\n", " scores_category.append(\n", " np.mean(\n", " cross_val_multiscore(\n", " time_decod, data, cate_lbl, cv=5, n_jobs=-1, verbose=\"WARNING\"\n", " ),\n", " axis=0,\n", " )\n", " )\n", " # Classification of attention:\n", " scores_attention.append(\n", " np.mean(\n", " cross_val_multiscore(\n", " time_decod, data, att_lbl, cv=5, n_jobs=-1, verbose=\"WARNING\"\n", " ),\n", " axis=0,\n", " )\n", " )\n", "\n", "scores_category = np.array(scores_category)\n", "scores_attention = np.array(scores_attention)\n", "\n", "# Plot the results:\n", "fig, ax = plt.subplots(2, 1)\n", "\n", "# Plot the results of category decoding:\n", "ax[0].plot(epochs[0].times, np.mean(scores_category, axis=0), color=\"r\")\n", "ax[0].plot(epochs[0].times, scores_category.T, color=\"k\", alpha=0.5, linewidth=0.5)\n", "ax[0].set_title(\"Category decoding\")\n", "ax[0].axhline(0.5, color=\"k\", linestyle=\"--\", label=\"chance\")\n", "ax[0].set_ylim([0.3, 1.0])\n", "# Plot the results of attention condition:\n", "ax[1].plot(epochs[0].times, np.mean(scores_attention, axis=0), color=\"r\")\n", "ax[1].plot(epochs[0].times, scores_attention.T, color=\"k\", alpha=0.5, linewidth=0.5)\n", "ax[1].set_title(\"Attention decoding\")\n", "ax[1].axhline(0.5, color=\"k\", linestyle=\"--\", label=\"chance\")\n", "ax[1].set_xlim([epochs[0].times[0], epochs[0].times[-1]])\n", "ax[1].set_xlabel(\"Times\")\n", "ax[1].set_ylabel(\"Decoding accuracy\")\n", "ax[1].set_ylim([0.3, 1.0])\n", "ax[1].legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, when no between subject variance is specified, the decoding accuracy is more concentrated around the mean, which makes sense. Adding a between subject variance term make the data more realistic, as you will typically have subjects for which the decoding accuracy is really high, and others not so much.\n", "\n", "In the next tutorial, we will explore how to specify various temporal generalization patterns of the simulated data." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "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": "3.13.0" } }, "nbformat": 4, "nbformat_minor": 2 }