{ "cells": [ { "cell_type": "markdown", "id": "257f717b-9421-4f88-b147-2759d3e0d3c6", "metadata": {}, "source": [ "# Monte Carlo Methods - AI Learning Guide\n", "\n", "## PHASE 1: EXPLAIN & UNDERSTAND\n", "\n", "### 1. Simple Explanation\n", "\n", "Monte Carlo Methods are like making educated guesses by running lots of random experiments. Imagine you want to estimate how many jellybeans are in a jar, but you can't count them all. Instead, you grab random handfuls, count those, and use that pattern to estimate the total. In AI, we use Monte Carlo when exact calculations are too hard or impossible. We run thousands of random simulations to approximate complex problems like finding the best move in chess, training neural networks, or estimating probabilities. It's powerful because even with randomness, when you average many trials, you get surprisingly accurate results.\n", "\n", "### 2. Learning Roadmap\n", "\n", "**Step 1: Basic Probability Sampling**\n", "- Random number generation\n", "- Example: Flipping coins 1000 times to estimate probability of heads\n", "\n", "**Step 2: Monte Carlo Integration** \n", "- Estimating areas and integrals using random points\n", "- Example: Estimating π by throwing darts at a circle\n", "\n", "**Step 3: Monte Carlo Tree Search (MCTS)**\n", "- Building decision trees with random exploration\n", "- Example: Game AI choosing moves by simulating random games\n", "\n", "**Step 4: Markov Chain Monte Carlo (MCMC)**\n", "- Sampling from complex probability distributions\n", "- Example: Bayesian inference for machine learning\n", "\n", "**Step 5: Variational Monte Carlo**\n", "- Optimizing neural networks and deep learning\n", "- Example: Training models when gradients are hard to compute\n", "\n", "### 3. Key Formulas\n", "\n", "**Monte Carlo Estimation:**\n", "$$\\hat{I} = \\frac{1}{N} \\sum_{i=1}^{N} f(X_i)$$\n", "\n", "*Analogy:* Like averaging test scores from random students to estimate class performance\n", "- $\\hat{I}$ = Our estimate (like average class score)\n", "- $N$ = Number of samples (students tested) \n", "- $f(X_i)$ = Function value at sample $i$ (each student's score)\n", "- $X_i$ = Random sample $i$ (each student)\n", "\n", "*Memory trick:* \"Sample, Apply function, Average\" = SAA\n", "\n", "**Monte Carlo Integration:**\n", "$$\\int_a^b f(x)dx \\approx \\frac{b-a}{N} \\sum_{i=1}^{N} f(X_i)$$\n", "\n", "*Analogy:* Like estimating the area under a hill by dropping random pebbles and seeing where they land\n", "- $(b-a)$ = Width of the region (hill width)\n", "- $f(X_i)$ = Height at random point (where pebble lands)\n", "\n", "*Memory trick:* \"Width × Average Height = Area\"\n", "\n", "**Standard Error:**\n", "$$SE = \\frac{\\sigma}{\\sqrt{N}}$$\n", "\n", "*Analogy:* Like confidence in a political poll - more people surveyed = more confident\n", "- Error gets smaller as you take more samples (√N rule)\n", "\n", "*Memory trick:* \"More samples = Square root better accuracy\"\n", "\n", "### 4. Numerical Example\n", "\n", "**Estimating π using Monte Carlo:**\n", "\n", "Let's throw 1000 random darts at a square with a circle inside:\n", "\n", "```\n", "Square area = 4 (from -1 to 1 on both axes)\n", "Circle area = π × 1² = π\n", "\n", "Step 1: Generate random points\n", "Point 1: (0.3, 0.7) → distance = √(0.3² + 0.7²) = 0.76 < 1 → Inside circle\n", "Point 2: (0.9, 0.8) → distance = √(0.9² + 0.8²) = 1.20 > 1 → Outside circle\n", "... (continue for 1000 points)\n", "\n", "Step 2: Count hits\n", "Inside circle: 785 points\n", "Total points: 1000\n", "\n", "Step 3: Estimate π\n", "π ≈ 4 × (785/1000) = 3.14\n", "```\n", "\n", "Actual π = 3.14159... (Very close!)\n", "\n", "### 5. Real AI Use Case\n", "\n", "**AlphaGo's Monte Carlo Tree Search:**\n", "\n", "When AlphaGo plays Go, it can't calculate every possible future move (too many possibilities). Instead:\n", "\n", "1. **Selection:** Start from current position, pick promising moves\n", "2. **Expansion:** Add new possible moves to explore \n", "3. **Simulation:** Play random games from that position\n", "4. **Backpropagation:** Update move values based on random game results\n", "\n", "After thousands of simulations, AlphaGo knows which moves led to wins most often, even though each individual simulation was random. This is how it beat world champions!\n", "\n", "### 6. Study Tips\n", "\n", "**Best Resources:**\n", "- \"Monte Carlo Methods in Financial Engineering\" by Glasserman\n", "- \"Pattern Recognition and Machine Learning\" by Bishop (Chapter 11)\n", "- Stanford CS228 notes on MCMC\n", "- 3Blue1Brown YouTube videos on probability\n", "\n", "**Practice Problems:**\n", "1. Estimate integrals of simple functions\n", "2. Code basic random sampling \n", "3. Implement simple MCTS for Tic-Tac-Toe\n", "4. Try Metropolis-Hastings algorithm\n", "5. Build a simple reinforcement learning agent\n", "\n", "**Key Concepts to Master:**\n", "- Law of Large Numbers (why averaging works)\n", "- Central Limit Theorem (why errors shrink with √N)\n", "- Importance sampling (smart sampling strategies)\n", "- Convergence diagnostics (knowing when you have enough samples)\n", "\n", "---" ] }, { "cell_type": "code", "execution_count": 1, "id": "44333f9b-85ae-4086-8676-1962ce235dc3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2025-07-30 11:09:43,731 - Starting Monte Carlo Methods Implementation\n", "2025-07-30 11:09:43,731 - === Pi Estimation ===\n", "2025-07-30 11:09:43,731 - Estimating π using 10000 samples\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2025-07-30 11:09:44,019 - π estimate: 3.134800, Error: 0.006793\n", "2025-07-30 11:09:44,019 - === Monte Carlo Integration ===\n", "2025-07-30 11:09:44,020 - Monte Carlo integration from 0 to 2 with 10000 samples\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2025-07-30 11:09:44,265 - Integral estimate: 2.658251 ± 0.023688\n", "2025-07-30 11:09:44,265 - Monte Carlo integration from 0 to 3.141592653589793 with 10000 samples\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2025-07-30 11:09:44,493 - Integral estimate: 1.997472 ± 0.009657\n", "2025-07-30 11:09:44,494 - === MCMC Sampling ===\n", "2025-07-30 11:09:44,494 - Running MCMC with 10000 samples\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2025-07-30 11:09:44,954 - MCMC completed. Acceptance rate: 0.837\n", "2025-07-30 11:09:44,955 - === MCTS Demo ===\n", "2025-07-30 11:09:44,955 - Running MCTS demo with 1000 simulations\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAMWCAYAAAAgRDUeAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsvQecXUd1Pz5vd6W3q1W1igs2YHqHQAghkF9CQqghIckvjd8/5EcqAX6hhBR6KMEEYiAQWgi9Y4xNMy4YGwNu4F4kWbZkyZIlrbb3fv+fc++be8/MnDPlvvvevtXO1x9537tv2p1y5syZU2pJkiQiIiIiIiIiIiIiIiIiIiIiIiKijehqZ2URERERERERERERERERERERERGAKJSKiIiIiIiIiIiIiIiIiIiIiGg7olAqIiIiIiIiIiIiIiIiIiIiIqLtiEKpiIiIiIiIiIiIiIiIiIiIiIi2IwqlIiIiIiIiIiIiIiIiIiIiIiLajiiUioiIiIiIiIiIiIiIiIiIiIhoO6JQKiIiIiIiIiIiIiIiIiIiIiKi7YhCqYiIiIiIiIiIiIiIiIiIiIiItiMKpSIiIiIiIiIiIiIiIiIiIiIi2o4olIqIiIiIiIioFLVaTfzrv/7ritT9f//v/xUPfvCDKy3zs5/9bPpO9957b6XlRmSAuQL9G2EHzGuY3xEREREREScTolAqIiIiIiKiBZCCDPj3k5/8xPg9SRJx1llnpb//9m//tvH77Oys+MAHPiCe9rSniS1btoje3l7xiEc8QrzqVa8Sd911VyogkeW7/klhCvx92cteJh760Iem5Z122mnif/2v/yXe9ra3eb0TvMfzn/988YAHPCDN/8AHPlC86EUvEl/+8pfFyYB3v/vd4sILLxSdJojAY9nf3y9+6Zd+SXz+859f6aZ1LBYWFsSHPvQh8dSnPlVs2rRJbNy4Mf0Mz+C3TsGVV17pvYYjIiIiIiJOVvSsdAMiIiIiIiJOZoDwBoQ2z3zmM5XnP/rRj8Thw4dFvV438gwODornPe954oYbbkgFVi95yUvSg/XevXvFV7/6VfHf//3fYmRkRHzhC19Q8p177rlpmSDMwti5c6e4++6704N5X1+f+Iu/+ItU2HH06FFx4403in//938Xb3/7263vcd5554k//uM/Fk960pPEq1/9arFt2zZx4MABcdVVV4lPfvKTaRslZmZmRE9Pz6oUSv3v//2/xYtf/GLl+Z/92Z+JP/mTPyHHqh2APv+Hf/iH9DOM2f/8z/+IP//zPxdzc3Pir//6r1ekTZ2Kqakp8cIXvjBdX7B2QLOoq6tLXHzxxem8/eY3vym+973vpcK9lcajH/1oYw2/4Q1vSNf6m970JiM9rH94l4iIiIiIiJMJq49jjIiIiIiIWEV4wQtekAp0QEsDC2pAUPWUpzwlFUDpgIP0TTfdJL7xjW+IP/iDP1B+e+c735keWOFQ/f/9f/+f8hsIrEBYpT8HgKBqcnJS3HzzzeJBD3qQ8tvAwICXidVjHvMYce2114r169db84Mg7mRCd3d3+m+lAJppeExhfjzkIQ9Jx3Q1CKUWFxfF8vKyMW9agde97nWpQOrDH/5wqlUo8Xd/93fiIx/5SPrs9a9/vfjYxz4m2gXQigTNRxAIY5x66qnGWn3Pe94jduzYQa7hlRKKRkREREREtBLxuiUiIiIiIqKF+NM//VMxNDQkLrvssvzZ/Px8KnDC2kUS1113XarJ8Zd/+ZeGQEoeTP/jP/4juB333HOPOPPMMw2BFGDXrl1e+UHTihIs6Pl1n1LSZxCYHcJhG8wRQXvrLW95S3pgv++++8Tv/u7vis2bN6cmhaDx5ePTSZo/wV8boL9+5Vd+RWzfvj0VDIAwEPpfbzNo2Xzuc5/LTaak/x6u/o9+9KPisY99bDomZ5xxhnjlK18pRkdHlTS//uu/Lh73uMeJO++8UzzrWc8SGzZsSIVM733ve0VZQN896lGPSscEAwQ/H/zgB9M2gWAQhB5/+7d/mwoqsdAG+gH6XeL//b//l74fCE4ljh8/nj6TwhuYs29961vTvoPxA6Hor/7qr4orrrhCaYM0K4U+h7aAqSj0D7y/NAGFeQTtg98+8YlPkO8I6wW0C7du3ZpqDj3ykY8Ub3zjG639AlqCn/rUp8Rv/MZvKAIpCRgfGAPQNIO0ABgbeKYD+hLGCTTnQvoXAFqIoKV1ySWXiF/8xV9M5xz3ns34lJLzEvr07//+79N5Af0FbYLxgrn40pe+NNVqhH//9E//pIx7yDtFRERERES0ClEoFRERERER0ULAQfLpT3+6+MpXvpI/+/73vy/GxsZSkzAd3/72t3OTsSoBwigQ/vzwhz8snf/yyy/PD/NlAOZ/cAgGbRDwlfWud70rPRD/1m/9VioAADPChz3sYakmC5gFVoX//M//FL/wC78g3vGOd6QmeqCx9od/+Iep8E8CzKhAeAKCFvgM/+BwzgEEbSDkAGEUCNFAgAiCh+c85zmG3yI44IM55hOf+MQ0LQiU/vmf/zmdB2U1j2AcQNCAAe39x3/8R/GMZzwjfWfwH/alL31JPPe5z83bBO83PDws7rjjjjzfj3/849QsDP7iZwDwOQYYHx9PhTkgZINxgvc/ceJEWjZo3+n4zGc+k2or/c3f/E36zqeccoq47bbb0v4BzTrID+0Df2YXXHCBkhfaBkIdME+EMYP8v/M7vyN++tOfWvsF+nNpaSkVxHCA36D/wJxPzkmYa8eOHVPSgaDn/vvvV9aoT/9iUzsQSMPchrRggtkqgFBx3759qQku9BOY94LAF/y9QX/AnAcB3/ve9z7DXDDknSIiIiIiIlqCJCIiIiIiIqJyfOYznwGVhORnP/tZ8l//9V/Jpk2bkunp6fS3P/zDP0ye9axnpZ8f9KAHJS984QvzfL/3e7+X5hsZGQmuE8qB8ijcfvvtSV9fX1r2k570pOTVr351cuGFFyZTU1NeZX/qU59K865fvz5t+1ve8pbkxz/+cbK0tGSkhXRve9vb8u/wGZ79zd/8Tf5scXExOfPMM5NarZa85z3vyZ/De0M7//zP/9zoywMHDij1XHHFFelz+CsB+fQ+kP0uMT8/nzzucY9LfuM3fkN53t/fr9TL1T8wMJD2w3Oe8xzl/WGcId2nP/3p/Nmv/dqvpc8+//nP58/m5uaS0047LfmDP/iDxAV4F6jnxIkT6b/bbrst+bM/+7O0zFe+8pV5OhgLePalL31JyX/xxRcrz6Ht8P2jH/1o+n10dDTp6upK5+Spp56a5/v7v//75JRTTkmWl5fz8YJ2Y8BYQZ6/+Iu/yJ9BH0H5mzdvTuvCePGLX5z09vYmBw8ezJ/deeedSXd3d5pH4gMf+ED6Hd43BK95zWvSfDfddBOb5sYbb0zTvO51r0u/7927N/3+4Q9/WEn3ile8Itm4cWM+d3z7V44ZPIPfQvHYxz42nTMUoFxqXTz3uc/Nxwnw9Kc/PV1XL3/5y431hssOeaeIiIiIiIhWIWpKRUREREREtBh/9Ed/lDr//u53vysmJibSv5TpntRIAUDUsCoB5jmg0QLmc2BiBVoR4NAbzHXAUbkL4BwdtEtAUwa0SMC3FWjdPPzhDxdXX321Vxv+6q/+Kv8MPprAtAlkWGCqKAHmR2CqtX//flEVsC8f0FoCLTVoOzh5L4Mf/OAHqXnUa17zGsXxNPh3AhNErIEFAPMz7CMITCAhgp7vO1566aWpaRb8e/zjH59qu4BGC2i+SIDfMjCrA80c8FMm/4G5HdQvzeyk6Z/URAPtIxgL0JYBkz3QuJGaUqBdIyO/QRppugnabqBtBRpHMIZUP4LmGNQlARo7YM4Gcw6iNmJn36CVgwFzAPCtb30rrcsXsLZca0f+JtcZRLQELaavfe1rSlvBvBM0jeTc8e1fibPPPtt4r1YB1g+O0AdaiPq6kusNz7nQd4qIiIiIiGgFolAqIiIiIiKixYDD+bOf/ezUuTlE/4JDL/ZVgwFCDXzArhJwAAeBBhw8b7311tyUDUysQNDiAhyyQbAAvmpAqAHmawcPHkxNrXycpWNhBAAOxODHBhw768+r9GkDQsBf/uVfTusCMzIYD/CVBMKpMoB3BoDwDAOENuCAXP4uAb68sNAAAKZ3vu8IQgbwsQRCQfDVBEIbyIv9e4EwCd4H/HtJAZb8Bw7u8fiAQE6a58FfEFbAP+gb+A4Cm1tuuSVNhwH+tp7whCek/Qh+qaBsEMBR/QhCGQww9QPBLAgxdej9CCZ1YE4GQkwQmoIJ3de//nWngEoKnGxrhxJcQX0gnDty5Ej6HXyUQX/B8zL9S71/K0GtK8BZZ51lPMdzLvSdIiIiIiIiWoEYfS8iIiIiIqINAM0o0KQB3zXPf/7zc20QHaDFAgD/O7pQoCqA1gRo3MA/8HcFjp7BjwwIznwAzrqhbfAPBErgywb8+fz5n/+5s16fZwDskFkX6EiAcM8FELKAnx3wjQSOyU8//XSxbt261OcRCAnbAZ93tAH6WI4NCAZhjoAgELTdwHE5AAQ2IFyAcaSAtZZAAwq040BrBvoHxhH6GJ7Dd/CTBeXh+ffFL34xdbINmk6gVQV1wXudc845hsN1gB5pLgSQF4SeoKkDQi8QxoEmEzgwB60xrj9B6woAAlfOhxP8BoBIkhIgfHrDG96Qag6B9hsIwECAA37AJEL6V75Du8D1B/Ucz7nQd4qIiIiIiGgFolAqIiIiIiKiDfi93/u91Knwtddeq5gK6QCTITjogxCgVUIpDNCQARw9enRF8vtAOvTWI9vpGkkUzj///FSzBzS8wJG5BAildHDCLx0ygiE4swbNKAkw6Ttw4IC3cK8sXvjCF4pf+7VfSzXdYE5BJDyIZAfabqBh5BKIyHkF2lc/+9nPxL/8y7+k30FwBxpkIJSCMsGMSwLM2eBdQdMP9xM4KvcBCDigXdI8EAP6UQeYRf7mb/5m+u/9739/+q5vetObUkEV178g7AVBDGgDcs7OP//5z6fagVjgBFpNYE4J6xKi9sE7gvANz5eQ/l0tOBnfKSIiIiJi9SGa70VERERERLQB4KMFDvwQdQwETxxAcwkOzBDp7MILLzR+B8EHRKcLBWjAUNG0LrroItKESgdE3qPgm7/ZwzMAR+QDLSmIMuYCCClAiIK1qsCnFtW3IIjRBV8UQCgCpnMf+tCHFM2TT33qU6k5FAiNWg2I3jc0NJT7AwO/ZfCO4OtLB/h+wu8FQhiIdviBD3wgnRMglJDCKtB6AgEUmDuC8EbXusHve91114lrrrnGq72QH7S8oN8PHTqUP9+9e3cqMMQAf1U6pOYTROTjAOZq4GsLBC2w1nR8/OMfT6NPgq8lMKnEAG0pEBh/+tOfTs1bseleaP+uFpyM7xQRERERsfoQNaUiIiIiIiLaBJd5G9bmeM5zniN+//d/PxVggbYICExAy+SrX/1qqpUEvoVC8O///u/ihhtuSMsEv0AAcFANdYEvITBbsuF3f/d3U2EGtAeERFNTU+nh/zvf+Y546lOfahW0VeGkHYQkYGIFAgtoL/QDHJxdAAERaNqAoA9MKMFPzkc+8hHxsIc9LDflkgDNIHgnSA/aQvC+4M+J0vqBtoDZIpQL5oGg7QPmgdAX2Kl5qwBaQY973OPStoJvL9CcAq0p0LIDh/Ywf8BMEeYMmKWBqR/2YwYCKOhDMOGUmmhPfvKT03l21113GY74wVwQNIhA4w/6FDTCQMgDZnDgf8gH0F9gigd1v+IVr0jH78Mf/nA6vngs3vGOd6QCSKgHtNJgzKBvQZAEJoY2gKBtz549aflQl9SIAsEXOE6Hfjr33HNJAQ0Ie+EfzC9dGyu0f1cDTsZ3ioiIiIhYfYhCqYiIiIiIiA4DCD0goh0cxMGkCMyWQEMKDuggAHn1q18dXOYb3/jG1IfSj370o9SHzPT0dOpfCZxIv+Utb3E6ZgbNLTjUg7+d+++/P9WYAXMuaBto7WCtmlYA2gwH6Pe85z2pPy7QdgFfWBA5zAbwQwQaTJAPBG/wniCgA20pXSgFAh5w+v7mN785dcoNQkRKKAUAjTcYp//6r/8Sr33ta1NBBuQFMzM42LcDIEABP0/QN/AXhEQgWPvEJz6RjjeMyYMf/OBUSCa1oXShFBbyQHrQ1APBnG46CuWDPzQoGwQ8IIwCE1MQXoBjcB+AMBTygh+st771ramQCQRVIGTFYwFzHMZHai2BTy0QoEBa6cTbppEIWn2wdqB94P8K5ir44frgBz+YCquo8YG2/Mqv/Erq8BwcrFNpQvp3teBkfKeIiIiIiNWFWuLrZTMiIiIiIiIiIiIiIiIiIiIiIqIiRJ9SERERERERERERERERERERERFtRxRKRURERERERERERERERERERES0HVEoFRERERERERERERERERERERHRdkShVERERERERERERERERERERERE2xGFUhERERERERERERERERERERERbUcUSkVEREREREREREREREREREREtB097a+y87G8vCzuv/9+sWnTJlGr1Va6ORERERERERERERERERERERGrBkmSiImJCXHGGWeIri5eHyoKpQiAQOqss85a6WZERERERERERERERERERERErFrcd9994swzz2R/j0IpAqAhJTtv8+bNYjVrfJ04cULs3LnTKpmMiFjLiOskIsIPca1ERLgR10lEhBtxnURErI11Mj4+nir7SPkKhyiUIiBN9kAgtdqFUrOzs+k7rNaJHBHRasR1EhHhh7hWIiLciOskIsKNuE4iItbWOqk5XCKt7reLiIiIiIiIiIiIiIiIiIiIiFiViEKpiIiIiIiIiIiIiIiIiIiIiIi2IwqlIiIiIiIiIiIiIiIiIiIiIiLajiiUioiIiIiIiIiIiIiIiIiIiIhoO6JQKiIiIiIiIiIiIiIiIiIiIiKi7YhCqYiIiIiIiIiIiIiIiIiIiIiItqPjhVJXXXWVeNGLXiTOOOOMNJTghRde6Mxz5ZVXiic/+cmiXq+Lhz3sYeKzn/1sW9oaEREREREREREREREREREREXGSCKWmpqbEE5/4RPGRj3zEK/2BAwfEC1/4QvGsZz1L3HzzzeI1r3mN+Ku/+itxySWXtLytERERERERERERERERERERERF+6BEdjuc///npP198/OMfF2effbY499xz0++PfvSjxU9+8hPxgQ98QDz3uc9tYUsjIiIiIiIiIiIiIiIiIiIiIk4aTalQXHPNNeLZz3628gyEUfA8IiIiIiIiIiIiIiIiIiIiIqIz0PGaUqE4duyYOPXUU5Vn8H18fFzMzMyIvr4+I8/c3Fz6TwLSApaXl9N/qxXQ9iRJVvU7RES0GnGdRET4Ia6ViJXGvuMTYmhqXvzyQ7aLTkVcJxERbsR1EtFuDIzPism5RfGQnRvFasHySbBOfNt+0gmlyuCcc84Rb3/7243nJ06cELOzs2I1T4KxsbF0Mnd1rW6luDuPTYmurpp41K4NK92UVYOZhSXR29OVBgiIWBvrJKKz8dMDY2JucVn8xsO3tbXe6w6Oiyv2jYi//OXTxc6N6zt6rSwuJeL8W0+IR5+6QTzhjNXDOEa0B+/49t3p3675M8WDT+kVnYi4p0SsJBaWlsX8UiL613eLTkZcJxHtxj98K9s/3vDsB4kd/evEasDySbBOJiYm1qZQ6rTTThPHjx9XnsH3zZs3k1pSgDe84Q3ida97naIpddZZZ4mdO3em+VYrYCKDQALeY7VOZMD0/KL44sWH0s8f+z9PFuu6V++7tAvHxmbFOy++XTzpzK3iVb/xsJVuTkfjZFknrcCJiTlx/9iMeOKZW1e6KasewFB8r0HHfuPxDxK7NmcH6s9fc1AcG58Vr/+tR6SC91bgW2m9NfHtvZPiDc9/VEevlUvvPC5uOT6b/nv2kx4i1joWl5bFkdEZ8cBTNsQLBiFEvZ6toZGl9eKXdu0SnYi4p0SsJP7hvFvE2MyCeP8fPlFs7uvcg/fJuE4uvv2YGJmeF3/y1LMive7g/WO+p1/s2rU6+Nrlk2Cd9Pb2rk2h1NOf/nRx0UUXKc8uu+yy9DmHer2e/tMBg79aJ4AETOTV/h6zi4moiYy4w6fV/C7twlX7BtM+u+XwWOyvNbJOWoE3XnB7+vf1z32kePTpq1dA3wlYWi7o2NjskjhtazbXfrxvMP17z+C0eORpm1pSt6wXhIzNzvFWrxU4TMn2dsJ6vP7AsDg6NiN+54lnrMgh4/M/vVdcc8+Q+N1feEDahrUOOTeGpxc6Yn5wiHtKxEphfGYxXSf7TkyJpz74FNHJKLtO4JLnnhOT4oytfWLD+s45yp5/45H07zMfvlM8aHv/Sjcngtk/5LxbLait8v3Et90d/3aTk5Pi5ptvTv8BDhw4kH4+dOhQruX00pe+NE//8pe/XOzfv1/80z/9k9izZ4/46Ec/Kr7+9a+L1772tSv2DhGdgYtvPyo+dPm+9Ob5ZEefQ20bNvSvXn9I/Oze4ba1KWL1Yv+JqZVuwqoHrDmJybkFUmhVFrcdHhOfv+ZeMb9op20Ts4ui04G6qSPwiR/dI7598/1i73E/9fOQ+QBawC6AQApw0a1HK61/tWNocn6lmxAR0dHoOok1deCy4JyL9oh//fYdohMxPb+00k2I6HAsN8HznazoeKHUz3/+c/ELv/AL6T8AmNnB57e+9a3p96NHj+YCKsDZZ58tvve976XaUU984hPFueeeK/7nf/4njcAXsbZx3s8Pi1vuG003s5Md+OYIH4Ylfn5wRFx253Hx8SvvqbxuuL264/6xysuNWDmcxLxt24D5D0o4lIjyDMoHf3CX+NHeE+LSO4+VLiNCtFWg94VrD4r/9+WbvGlld4tMO1crhiaL4DQREREmTmaSIS9UO1U43cwlUxkAnz881Zl9EWHi6nsGxau+cqO4/Ug8K2F0js4jg1//9V8nD9USn/3sZ8k8N910U4tbFrFab9HXwg0GdnA5Nb8kvnvL/an51RPPymyoR1q4eb37e7vTv+f+0RPF1g3lnSpHdD5ze+XegdT87O9/8+FiSwf7rugEYKETRH9pBTimFPzwgfPb1YBkjWhwgRARcOFNR8SjTtssBifnxKkNP2PcIQcEWI88dZPoOcn8KgKPNzAxJzb19igXKsCww1qhIu0NxgNYREQlguzx2QVxdHRWPOLUjdEPUkVYbrPK71euv09cvvu4eMWzHiae8qD2BlKJCMenfnwg/Qsa7u/9309c6eZ0DE4uzibipEcz2gQSi2tAZRIfWuDwA1pRYLoo0aoewAJkCNsdcXKAY1S/cM1Bce/gVHqwjrAD86iTlKZUC8nS1g2FwNB2ydMJwM0DU+tOb28V+O+r9os3fvO29PaUAwgV33/pXeIrP7tPnEyA8X3P9/ek7//mC29XzOs/cNld4pNX7RcDE2YU5Nk1cLkUEREKTC99zff+5fxbxXsv3iNuPzIuVgs6XXjWjKYUXPb9+8V7vMy7JUAgBfjGDSfX/nCyY3NvvMzFiEKpiDWHdqvVrjRjMjw9b7x7q855uGtd/m0iVg9czO3cYvgBEW5nf7zvhJhdWFp7QqkWaUpxo4S12GY6vL/xxcPLv3ij+MRV+4Py33BwRNxVsf+ntF1JkvqAaMV8/XnDFOWS293ml1fuGRAnExaWEnH3wGT6eWx6QcwR+wY4bqYw1aJ1FBFxMvC3vkKpuYVsze0+unqEUp0U6frwyHSlmlJw2XfXsQnx/dvCzfHXwvnmZPIltXOTGWRtLSMKpSJWFaqgt4vLJ7+wZAltiN2IMZF+OFqlfYA34iiUOnnQijvJcy/ZKz7703vFl64rfAKezMDCFtKnVAt5STDfkxiZNp2sdyqNBzr1swAfgGAC99Er7hb//v09LWnbOd/fLV75pRvFKBL0V3nj3+m3/7T21l7x3Vvvr6zMJMAkaXSms+dypwEOrGtB83AtA1sChAbqWt8Tj4ThWp67xbsv2m3wu1WcVSgBvQtrwRKEc12wWvwMYiuSbf3RxQlGpEARHQeINgTRpChUwVAtLq0Boq04VS4Yd/DbAWjVvoWHZ36V+LDpxIPDR664O40W2SlwMbdlluXhkZn07w0HT/7AA/qaozSlqjBN5jzS47Jb6U9upTGOhBStOHzLKJQ3HRoVrUDPKvNMDEFD7rh/XFzQCINeBvq8D9EwaDZ6EThLBrMl0NA62QGH5n/8xi3iPy7dK1Y7IGDN279zB6mhstaxzFxI+iAKpcIA5AcumEDTbFbTFl+pc8ZajOgGJt//eN4t4p++ceuquAwH7TqJ1bXjtx6RAkV0FOCm+39+vD+NJkWhCnK7FtRbE81MSkL65tAPAiAIhKh5q0lTarU4bg7FzfeNiBsPjqTRIjsFq02DoxOBhSRYUFz83p52jHW6dkkTHYE1wsAsbLXRntUWYW+G8OsEvk24SyWf4aaGH5OfKrdviD6799iE+PrPT34/LPsGJlLh256j1Zu2thvgH/PQ0LT4WAuiB7cDYF6MD6ZVAmvK+OzbeF+qryKhVCewJLjvQBikfK9gQ/d9R+w+YS3cueuYRWeNED9cK4Xj48XaH51eEBfddpTkCdciVg8FilgTcIXdruLgthbUW/GGiP1xDIybmlIgjAJBoIyatxqEUl+9/lAaTh3flAJD0CpfPe1EGZXtVqO2ChhE6vYMHEd3SpjkJIDOtdR5eIfTv2Za19Nda5mmJm5XlX2Il07XKhNK6f2w/8Sk+PJ1h9hLJR/Igx2v6ZZULsid8Nw37rx/PDXViRo6nYHV6FMMhFFgXvymC25ruaaMz76M+Y16TxG1OcINTH70LaGKy2/f3QDzE3MLS0FawiDcBW3RKi6lVwr43NHuPRR8TELfhfS5tFgBXLt/SJx/w2Hx4R/e3aIWri5EoVRER6FGMqf4YfN1LK0Bn1J4P8QS+OMNoRQmoMcrvLFTHJ23UJMJogmCtgL8lfj8NQfFq79yU9AtfUQ1Ghyd6KYE5gaE3W0V8x+KBC0HENjqDrOr6EJulBQS2omDhdBM82qoB8oKxeHQCMKVlRDs+ZjbyCRYA3aloGsDjFTga8vVta2Yvr5r4txL94p7BibFhy+PB4hOQCfK1w8OTVm1Ho6MZmbrVQAu4XRzbEybfOa1dHIOWIeE+p0OTOtXCrh7gRbi79iva6uBo/mCMGwqIDLpey/Zk2qLVnEpvVLAXd3uWfGu792Z9t21+4eb0rSGfSUiCqUiOgw4WogkNHhjrcLvSqdrClR9WMC3KMNTUijV+npbpSmF58O2DYWTwKvuOpH+vfDm8v5NOgGdwGzp/dwpbQrB7fdnwslO8TGg0y44DCi0rU1MbKdTv6r6oayJHQgx/+17u60adqCF1wr43vJefPsx8dqv3iwuvSM8OlOV0PfSMma+pvkeHyFWnxuV+GErgYm5lRcIRnQeQGPiHd+5U/zD129pS31wCff6825RNMZCfQphX0idvjd0GjD9SYVS6LelCuzofMmpbiEQYqJPmWCvNqhnxPbi6Gh2qX/dgaGmeZykwy8M24EolIroKKi+I5LWRN9bC0bXif0QUYW9O1ntcuvN0PAt0ClE5IpVZgHTse1Xbp86pE0h6DRBmk67WrEGuXGqWtu0lUg6RCh+AqnYA/CRY2U1pWrivIYPpK/97L4VdXar11NmxemCpcSyPnz8T5VBM+VAJMbv3HJ/x/tq6zR6WAVaxceUxe1HxlbEbyn2UYM1dHy6B2vsdlp/djpwd8Hnyn1Kea5ZXWu2yuiwqwGqdqDoeHBNHO4QVxMriSiUinACNtibDo0EmwuABP5t37pdXHBTOYfNks5Uvb+vNU0pDPm0HZpSunlSMwB1eFAxhk0fHxaxDxlK286GgfHZ1P/Jagkj225g5tbVpatRaNVumFoe7WOgVkqjpN3Ab1nGfBiPEfKZ3raLDVudEq6ldsf9Y+LlX7xB/HhfpjnaSuiH7yoCItgOc/ovyQqtD9zED/5gn7jwpiPio1d0tknfyUijV8MBtB3A6w7TJh9WdxaZ762RbaItc7ESAZ+vppTmo7LTBeStvBxZKW2jkGq5dXlwOPoqjEKpCC/fLP/1w7uDbY7ByTCEff/uLUeb0pTSVWSbRatMLzoJHNHLTSNaVm/SEk2pN3zzttQZ4833jaYRGnMk5U1g3nPxnjRS1Ec6LIJPp0S6wwdOl6AvHg7c0LtIV/evxqcUpyql1utLJ+8emGj7rX8z1WHmtIymFH7X7i6ePVpskV/CKpy0fuSKu9P3+OxP7xVtF0qVKMOYjpbLKEOwWxHhaWbO3dc4SNwdfYK0BHC5JS+k1qqw3W1eL0rzyKqmVCVNWzPAfQ2fcf9Vcczwpae6+Z4upDrZ4asppayZDuGzMQ6PVOdvbrUiCqUiFIA2lL75X39gmDRnaEV4a9qnlKgU7XRAuFLgbZaJm4WAcq/cO5BGi+CAN+UqNaWk3fstIJRC85Bqu++0g/DYgEMddjvRKXvlSjqPPJn6kTssZI5R26927lvPZ6++V5xz0R7xjRtoE7FORxmfUpi5tZnStUxTSquTouOdNK/1vVTdv5OSwlrRfk2pwIJWOwuxmnyXnHfD4fxCSscqeo2WCoQxTVAO6B4rBPNpVQv5oOxbD4+2xK/jStNBuLRZQPuALqBvq6NzTSi1FqxBMHDfJ6uY/s53iP/TlUQUSkUowidwnvqV69VDyPxSOeFC77ruppigQlPKfNYM2n3zvxLgXpHSPvMFRHn5wjUHxSev2u/lqA9C01YNuN1QNKWoNIEilE7xtQFRe0Dtup2tAdNFqJcCZqpWW6j6joS2ZMwl1Dq6VKbka+7JhM+X3lFEuOz0AzPOKoVSd94/nmp8+QAz86AopbQlaY2mlCII09YZtVe56FU76Znt8FN2n5V7k49PqaqwljVuOh2jDT8ro41LJIy1LJTCywuvedWUyV3OTAs1pf7nx/vFf/5gn/jK9YfEyQTYF/7xG7eK133tZvRMs+qooDN9tXmiUMrPmqaV9KIKIWmylglaA1EoFZHj6w3nqWDSVIX0tg8JpXxNufBNay5AYQ4GZYFvN05WcMRN0u4ytG/aQ8iE98JWODqH6TE4WTgDpN4jdHMoo9FXNQ4NTadRe4DJaecN4D9949a0XkoLEm/uHdBFqx46n5gxse1ydF6tCXSnAh8KgP6AL7pzL92banz5MHw4YpJ+IEhaxPRjc3KdFlH14GattLDYcHSumN/7lWGa5FnqC0gbhJN3STQ1Np0ESsh5MtMyF/C747ENd3S+3LJD8U2HRpXIyFViJSnf9PySGNf8NmWazysjGFpYzOpa39O1ZlyUYPjO+aRjfEoxl/oiIgqlIpwoK5TCTqiBiIeCEqBUsWiXWuQPpJPA9VNuvleiI31u4Frl6JwPYZyUdnTeSUKpvcf9NDlahaNjpi176I3rasOxsdm2qkvrc1VnYsv28cl2u9bM62C6BmM7NbcUpLmDNaCgX7m2VGm+N48FYR4miJi8+UTra6+j83CBQcKU6Wc+XM04rDXhxmqiGbKlpOac6Cy0s1u5OauaMrkbNIf5qU7r0A4FHRlc29+r0JQKFMrUc6HU2hpIZc5bNaU6o1/YZiRtbkgHIgqlIpwoE8VIX3jT836O9/AmSjq2jJpSabjXD1x2V+pfKVwS32D4S1A/H+Eg3hyUqC4VwrXZBwulVto5gcZ8YA2NVm6ieKzkDRsG7ubVvWJM3HV8QrzpgtvE279zR8dE50kY80qX6ZlqxuGuu9O1JKoypQI6H6odojK3PB1tlaaUXix1uMCmOhZf7Eao6Q9dvk/sPjouqoTeP7htzZrJU/OgZeZ7yclv7qeYeK2i5tsu0jrlkLkSUOg+1pRabsbR+drtzxBQXaw/q8KnlC9rKi/a+9Zn1ilr2XxvNbw5L5NKxFpHFEpFOFGFNoGv1gx1eFKFIc0v2tW+8X7pukPi9iNj6SEj2KdU44dm9yyXI3Vdo6mdkTZCFZ98D3btAm5+K6cqviFdT8Si1w/oZQHlgFZSu2GbBtc1gje0s12U6ZGLnr35wttT07N7Tkw2Rc9cKeDS4KZDI6Wcg3eWplSRGd4lNCqVjZnH2avUtsV9rrdxgaoHm+95nlo+9ZP96SXGf1yyV1SJxQo0pXTYApzo68VVxRV7B8T7LtmTB8pg6yzZxpXA8fHmNTxX5+GnfULK1QDVvJ4WBoeb71XZwpMX9IW5qllbhe9aX6GUvLyo90ih1Mrv4x3pU0p0BrgmJp3SwBVEhx3HIjoR5c1KRJPme1KAUhQEYZd9ndZyWO23COBwvLTQyPG7DXgcfCT9cy3QlKp5RA4M9bPS02lSqTYJUDEzSvWBMt5NtONjV96daiX99O5B0VZYODpKOw4Ymy9fdygVzrQCehemQikscCe6WB4+r9ufCdFCojBZWmI8AWe0//XDu8UFNx4Rqxm4D6HvsNahz1oyNaVQ2ajfqjSPWLAw1LSmVLjpcWjkXF/YDl6+5yJOgzDxWUPo8zdvPCz+9dt3KBdgX7zmoNhzdEJcfMfRoDZ0KoD3eeM3b0sFbc1gtbyv6vh+pVvSWUiW3WsSLl++/rP7rPv3atWUWkkFd05TSnF0XoWmlKcBnzzT1Nd1nRTWIKHwFcR2yvRenZcC7UHnnsYiVj3wwvMVSuGlKoUP+Nlnf5qFKW/GX9FqcwKov6uPWrBLEl+GOOMsvE8pVQOgFZEOVaeGxKFtlWtKqc7+26Mp5eMjoVlnp5fecUy0E7ZpQJ3lQWgGQR5AONMK6N2pr2PbweG+kWnvcl1pqDkFwn7AtfuziHsriebmfKIJpUSgTyks8FbT4+xVXmwsLIaZ74kSQqlWXcTofYpphrf5CiNowutBChf1EnEV37v1qLhveJp0qjyJfItRWC2H8Sv3Zu+2/wQdMfVkRGG+tzrGqF3gLgnxmrz67kFxyR3HxK2Hx/w0pcTqQTuijIKvTSraM6WJpM/Pdkb5lnX1Sk2pVXbGaRZ4r1kNdII9n4mIDjuORZxMwAvPpT5f5MHExXzGhUA9WTWlbj08Kl75pRvFhTcdCXKgyBFmSvvMl4b7EHs9DRZ8VIJazbnZhzIrnaApxUZNa+E25WJGVZVo0bbwxu0AdZgfmXZrIFbt6NwXh4Z5oZSXkNpzHq10NLdKNaU0xtzPp5QqIMJjhD9XyfTjdabTNsp8Dwutfc33WnVA0stVhZ9JU+tCvQRpPCtpgrl0khzSxmfL8z1VmFauJFYR2+ZANS+i0CYLDQGMaZHi2MAxq3BetApwxnjzBbeLf/7GrV5aoHrgknYKpaSQrLcR8Xw1nXHaqSnV6XQv6ezmtQUrfxqLOGmB19dMKZ9SvBp/M+YTqykyxRevPZj+/c4t9+fPfPYbLk1xCx3eFh/fXjpT0woTPpdTw2CfUh12DseHh1ZuUlgDj2JGMeNVhXCsg2RSKxJxcdllvmfJOzu/xB4YvHxK4XosyXt8NW+WllO/dpULnZtkHHVNTeW3QE0pA7jsFjH9+hg7NaU8F1WZQwqM8QU3HU6DAoT4Sct/K9lHlDZvvm/paT39DLm2/NDD+EpxEHoY+rJwvS4cyJu5+PMFaLf943m3pI74OSQVRjMLmfugZeTjKmGlwHUHdUlh6znMo60mWUar+YlBi8kz2cep+Z6o1nyvFqgp1TDfW01nnCpQlf/TdiEKf3lEoVREWxZeMz6lqPXbjEPeKqJirKztus8h1C40KnlcQOXQKfRhaUVPK3UkzQscOkFTitP0auVUnUNmQ0kbbpVCoyK2EivRFn1Npo5RHWuqv96Tfz5BmBGk+bDw0GPIbAJGX02pH989mEYAveSO46KTkGjme6HmZJiZt918t8o8Qi+WMhPBU7e7mxgv4tFSiUPK1fcMie/eclT8+/f3eAu7VJ8qfvWYwyKlUkRafX+h0hAZXeO1Wg7jzQiKlAAalnQwz1/9lZvSf60OfAB+wEAg9d1bi0s3AznP0r5Buuj2Y+JTPzkg3vrt9kVnbWY/cWno2A7BLq15MGED0/tOCILRTljXCEFPs/0Ca6y1T7tc+pCKjs5Xh78m3nwvEWsdBccbEeEAFTbeW1NqfrGJhWsu1NANUtksVtEtAu3rx52P9fm0TDA0noTQT0Or9X3rinwVaibWCZpSuMntMrNwaUoph/gKmtEB3WwVvrR66iYuzSmik3EzJ2YXxa5NLn8KHu2oQFNKmoPYzEJW3HwPhK5Yc8djgA1zNMZxbavMI0IdnfvSrjIXMeOz7rHVtVcoTeeLbz8mtm1YJ572kO1B64IS2PpE36OGxjVeq+UwMOExJj6wrQWs/Tg5uyi29a8XrYbPNG7nOfu2w5kfxOlAIWA75xGrKUUJpSzluHhBMGGT1g6/+6QHlGnqSQeKnmaOzvH36uYCRAnee3xCPPNhO8hLV0NTarVI2SuCr6uJKnm86/YPiZ+UDN7DNWN5bQ0biSiUimidUAotMG9H5/gcLBnREkymDe26Rbh/dEb8cM+A+O0nnC62bijJ2FE3wSV8OxXFJaU3TB8TINOco1oqC9sxPqdRTFSo8IPUNugQtHKPUoVSRN2MI9Wy4LRwWuWw1Cab9DV7qhL6WtA1ccg8HuVyfo9knSCk9R1Lbw2ynDZXP0MpMx35Hs5mJerFhXJIWA7bGwzNNpxuqU1CKVJTqhas5VnG9Gkb2rNAwEft/6amlHpQgKh/5/38vvT7Ux60TfR0d5XUkKaeceZ7hIDdJZQK7J6VULaG98LzzndN5OlLBdpoz4t2W+Zxskr8wbQbHN0n57rtoK6UyaezmfGe7NDXGtXHPhcKoZA1QvTirMxl8ZuPPpWlw7lPqTWm1eYKfpT/ViFH/d9X7S+dN5IyHp1ltxLRccDM7DoHQwmq5W+58HZx0W0y/HIS7FOKIjTLllDpvvD1qVIl3vGdO8UVewbEx3+kEq+9xybEW791u9cmXzYqGpfCJugLaQvvU8qvHTjE9ZV7B7wPt8AX4DlJZQvVfFoJAYVNMNMuTSlsvketMczXVNGMle/llfUpZawN7WaVFkDjz/QgqOuh+AwmMX//1ZtT8wu1zKRpTamkQ5krxXxvSRX6+awl9dCvrgvcb6262PDSlGK0KqtG3/rsgAMYZYIAmI7O1YMy/n50bNbTrLXx1/GMQ5lLrBJXNKJK+Bwip7SLvVBHygot8Zy+7VrePnSn02hNFWhGqM/51qQ1pSwHdY89Zq1rcejdQu0lqTl+Uq2bEJ2+72tEyeWsB6SmlDTn6zQAr/LtW+4Xe46NV1outn7pzDf3XI/Jamh9axGFUhE5KLYARzByaUqBmj5oB51/w+Hy0fcYc4mmzfdE+yHbeHBIDd/83ov3iCMjM+K9F+8t1W6fV+ej76l/Q+BDL22Obymcc9Ee8YVrDoo9xyYqc2oYGkFsJQQUvvA9PDStKUXMNB8hZAi4W/1WmTzYNLDwkLfL6aS+5oy14sjPayfSny+48UhqfvL1nx327mHftSDb4iPoATOwT/zoHrH7qB8jSpVYxj9Rpinl0CCw3bha2tA6TakwYQolUK+KmuG+HGaEUvr4c3MRcGR0hq6HKZPS7uMEWLY2+Zh8r+RZ4O6BSfG3X7hBfOvmIsIuheFJdQz06JIhsNFcLqpbK2GjOyG0piqshrMhJ0wiTcssU8Xl17AoYxV0SougvzmtKaUmdNEctq4Sk0/uR70d7lPqugPD4ls3HRHv8zj7tERTqkOmMNeOpN0N6UBEoVSE98F1nePAohNhvMCmPH1KURstxYyEa0rxN7orBZ82uMyqgqPvSYa/1N2wm3nx8ZNDYcAS6USH66AW6lOq04RSyhpo4TaFo+5Q41l1SONO6mY85nI+tdofCOUPx7WWFW2REuZ7kmHz1RT1Fkox5lQUvnzdIXH9gWHxH5f4MaJlaZ6eF3zjhGrI6gJvm4lMO0wXqcsXLGxtLe0q2sJFRzNpsdZH6JfDIzN+tSbE3CeeufLb22nkEiuFr1x/KP377Zstzr5BW21GHYNQbQh1LvvlaVev9FhM6AuXA21qTBvfuxkSol4ald+3VUEyn7cZfqADlNGbgk7rSaFUSu+K5+3y6wRtk+2pN8z3qubdqsIgE6ylXdH3OqVXOuH82amIQqkIK7DwJwnUTMDrbnzGUyhFOTwlKm7mlrCTiXZl5nvW2wK3Lxs6H/rMpDHa5lmPr9kQzDHXDXqw+V6LDnZTc4tNbz6tnKazyKEtrY5ebTs6iTHF2nTtogWUCQB18FbzuJktl5NPI8qfZVGGakolTYbW9oX/IbpIuLCovmlo9D29n0K1mMoAr8NDQ9OpFqltHYVqhYYAd9fo9IKXEE0/4OIyDo9MO+vB3ynhvI8mblJCy6NDFQsU6HSqmWhovmZa7To7+dCd1eBTKrSJzbwRFzXPx99RmX2+06JWh14+VglWUwqnKalNi8vWfTy6Lg99zfduPTwqXvf1m8Ud94+JdqJVvLavo3OMlWRHuSYmnbXEVgRRKBVhxaxDmwJD3yMw4wMHdBzVxQe5Gn8F0ffacaBoBYGmWumz11lvC0ADgCHizaq+lhXC+DpY1hkjWZ9tI18Jn1L3nJgUf/+Vm8THfnSPXwbFnKxNPqVcmlKeKtG+CB2XVgILQdtFC0xTJ20uO44obPACx/oNMan115Ti69MROuykgDTXzErEBTcdFjccHKHblah7hErnPIRS2o0rNp/10WJqFriKD/1wH5mm1iZ/ePhthzw1pXTahec0pyllaBCisTbK9Viq1Di7DmmhWpJVkmXfspKmIxDzZanpwtZMFbA57C+ElCvPs1WNZt5JXXpJ6eh7+FersLJR7p33j4uPXHE362fuZIQhcCIv8VQhfFm+IjQXrsfX0fl//mCfGJteEO+/9C7RTrSKB1T9q9nOMJ1BQ3hLk0SsdcToexFWzC/Z/c7Ybi701CNTC+K0LYXzVCdDtGzRlAo03zPyLy3nBLzV4OjwOo9ohj6HTAq2NKaGRlLiZi7xNN/zg+9hmLvxxo99ilI0q1pwe3PJHcfSvzfcSx+edXAtaNUeBTdk1+4fUp4NjM+mvmMeddrmlmgQce/Yquh7vih7oxkKSonQZV7mZXLmOESmoaod9YQKOXIz4DbxULIeEGx895ajYuemehrNTQd+f12b1scnCjZB14Uqet+CJpYoGVSVr7+oY4QRBGF0t0tTimmLLdpqZuJY/DY+Q2tb6ZtEiPkFyZNQAvaKo++tBBJq/oXk9/QdhH9qpRYpfh+bprRM1VbzvQ6eD7BPgyCC48FIoZRtvD33BrnPnHtpYYb9ymc9TKxFcJpSVawdPAY+1F3VlJI+pTpzAvtaRKxG872QslvtKmI1I2pKRXhrSrnonE5udOIwNOU240g8BSs4clgZItAqR7UhcPnoAlBdwEXbUtJYXg9+89G6MH5jPnNtc5aHfvSIFG4NQY7fx0etG5fTqo2yLNTDQ2vmqX5DBtW84Zu3pQ4owWxIrztZher2vtVJp6CtPoiYZkoqF2vTEOJ+159T694QQlva2G3x7eKquypQJcpqpHYIdymB80IaxawlUFMK15vm1zWlWmDzhdfctn5a4oXfo5Xah7gto4xAaclmvrfst2dwc4rydWOuIT5/a6PvVYeyBxR8YehVjyJ8SJoWUjQLrL3mQ3dORi2C0DeCcYN9GqJc42iMy046x9fkG9BEV77hNKXGZhbSqNO+wY1ChHFvvOA28eN9J9Lv7eQmDFNuDxPJsuaOKi9rbwembZB2fYOR7oTzzcqZ73nSNrFy4Jp4/+iM+OiVd7NBQdYColAqwgpscueisS4CKp2lhjJEVPJQJ596GT4hmLkN98ZDI5XcIK7zkMS4fEpx7bD2MfzHMJ5JCR8GahpLAZa03Rb1fQwu+lKo+R5O39mOztsDPLYHh6fMuVVBQ7hhWYlbI4WJb5dPKcJHkerryZE/KWlu4yhYEQ57a0p5FV1KGEnRrtykK8SUURfqLYffuOJa9Dqb1dYl60d1nLGll0yDm+ErzC8D/LbcGtGf60JU9QLFr17bcvShFVQKVySs1SDw0PulmbDvtpyuSG5VAUcIs2pKNZrQXkfnbdoTAqvBfTCChEI24bmez7d84zftR45ng4AWX7z2oPj8NfeKKvGFaw+K42Oz4rM/zcpt5x2XPk6c3y68dsqeMVT487LAx65rCHc7Nfpeq3htn7NJ9iP6uII0n6t5/4mp1LriPd/fI9YqolAqIgdF5LHfGdcRxMivJQehFETz++fzbxWf+skBphTzgEUxCM0eCMqqt77tW7eLj/zw7vQmqFn0eJwo6Jtg4WQaXeraSQnNHOU3jwNy1la+PLxx+h6G2cORoj0QNv6ujRIEkaEbWFUmaS3RRCEP/fh3wqeUWH0+pWy1KczjSjk697B19Rl+zPtSQlrd4bRxo9uEgLZdh3k96AV/Hldpme29nY7OjYOIaKtPqb71tHcFRQAfOF4h4+vTX4ZQytrfzF7FPKEOGoamlKhGU2o1WFPorxUegZgvi0MrBfaKppRlb6B8jJ2sgHcEgQ74zeN+L77gj0lp8z1fx/Y6r8mxr6DtAYDL2wLN7/3NBjeqErRPKV2QH1bm5NyiODA4FbynSuEX+GWTZwooohODOeH9p8r1rPuC7HSzOderT8/5BQY7GRGFUhFWLODDzXJg9D1hCqWOjs2Kocl5cfsRd9QHTmUfEOo0XS+j7IFiYnYxj17RLNZ7qKxTtEv320HBpcLKRfVKfA+/TMqQfVA9XHnmYQ462CGxD/Atlm0UQFX8dV+7WZx/4xHRSmBtEu9bn5KgDmh0REP8e/P1dpI+mso88nSmSpiOzd033D5joJjvNcrA9C17xC/yEAGtXkQr+oxU9sofmgIL2wGLGucQh6mKVqpFmFcVfByzN2O+1xNontmsUMpnfhjCWuuhQs9rJl4u41NKNI9Wy9z1dw3VhvAxBc5+w59bRxTxHmytpfEju+aXE3F0bKbSQ2675F+f+NE94sKbCt4CfObBhSf4zXPN7ZDoe3bnz3SZZt2aUKrdgUtWUJ7grymF04Stz9d//Rbxru/eKfYdn8yf+XSx3L9h71YDuHSOEI/ar6rcP31NUDFWUjzVKcKxTkQUSkVYoR5Wk8Doe6ZQSh6WuJtLdYOUf820wZFntLY3TRAr2JD9NKV0pl/f+Jh+tJWpHbZ8hQ9lHKzbcpQ5DHM+q9RIcYE3K5Z0X7r2UPr3+7cdFe1Cqw8FlL8BKgJj1cKxVoavDwZ6n7ZpSjXh60mmdz2Xr4J97rloXRn/aoWjc3ffhY46tc/oQjDOabkp4PA7iPvcuBq0WFQPr2ASTcxXXzPprH782T330r1J0djwd65N1UvRH693JypyOzrv/EOC/grBfjXxeFrT4TFsoVAq0LSTa8oXrzso3nzB7eLi27PgIp0Cnzl1832j4ju33G+4uMjyuwSLuK4mHJ17mpDra++O+8fF68+7Rdw3nPmgtKGDAu+Wgs/5QTfH9+ErbrlvVJx/w+F0rsgzza3owt7lpxe3pUcXSnWgXyl8KVIl32XTcMbAv/1036D46vWHVob2d97QdAyiUCrCCuXQ5FhIZvS9LMP6RpQ5LJTibhHU+vgKmzXfa5YmVLHH+viUMjW8/IRrrpvQMvuBn08pU4jmE/XM19xNl0Um5E2JTzl+HbASvkY4LbaqQDtoth/kqmgGx5iuRPQ99fDcnhtFzh8a93v6zKPncfPlfMVCezi82m7DFd8XoT6l2rQ8pCak7aIiaw9Pf/yEUqr2hs1/XyuYWVUgnf19+kO3B0UasvnwqlhRyqrllPqU8pEhaXOciuwYoplLpXQd0FbS0sVbWFdhsBa7z8n27H+Yh7Nq8si/TJIf7c0cX1+ANI5WCs1qF4OrAGvgC0ZQrOxn5D5igYfwOWuP+QwihP7Pj/fTxVY8dfTiWs01WHlXztG5ZZ+l8KHL94mLbjsqfuYZpdmlKdXd4UKpdmhK4c/7T0ymkaYlEk0gfNmdx8XtR8ZFu9F5I9M5iEKpCDs8b9dsUv2+RphSOChJoQpHMGlNKTPdfJOOzpvdMKvwjyOdEoZA1xDz0TjTYfMx46vmnVTQz2V8FtlU+FsRQrZdQqlaCR8PZSHXHjAwjzhtk1knUXcVB/CVED5xwK/TjMPgsnVSjlHJA7YHk0tp1+ADH5g624avzI1lIQwWlYMWNKgPOUXZxEPI408X1ENGO3x0UOZ78lJHf95qTalQQX/aXXg+O8yEcT61XrpsKi3VMqre9kTfay1909899GLOV/NVoTkVyuth/YzPLgTTHUpzl0ynfYdL0PN+fp8YmnRHfW4FyswpHOWS6h5uTSqaUsR+Zhc22ddsXi5Ths84ds7OXw42DdwiTXmh8TATmdynBHmpBlpIcCEhtZFaER22WWBF7Eo1pZgL1H/73u400jQIT30Ewe3CatDMXSlEoVSEN1xMgRl9L4OU3sNBotCUUg9k9vrMdMFOPj2etArcYdxHU8ollOKYCBtzoR8eOObGKJP48Yq9A+m/Mgc3X5VbWxuA8bx2/5DiBNOH4Ct1ewri2gWXyRG833sv3sPeUHo7xgQmJi8TV9CaQzhnGdYq+3qb3Jgyd2j1UFMCkySASnHto8z3FKHUwjJr9mGuw7CDotfYVXAi0TWkMjNmQiChPfM9cHHagTiHWbaoHNRYggNbDB8NIomv/exQ7ng4K6vcYPhMi0RfV6mmVFKiHDnGatn4N1c7jGcugUaHHRIgIIxLs7IZnzFWoZRD66Yszrlot3jtV2/O5yPWUPWpxrV+9f760V0DqUnfj+7KNKnajTJzqqymlI8TbradzOcqzYZXO/Q3py5F9P3c54yTl88k88kuL9XkOUvuF53o6Fzvn6pgXCZpGG5EqqR+q0x4F7DeO2y76ShEoVSEFQoTmIRpD0kCICX3wIQsEL5OgGmQjs8pZ5zUAm7afK9JolDWPQ42lSkjlJr31ZSylJH5/sDf/erWI3rBGHzp2oPpPzkeIbf4oX6g9DYAwCnoJ6/aLy6543hQWZ3mBBIvHZdQ6uDQtNh7bEJcc8+Q9YDuCl4AzIuslzIFUDXZxKqLvrcSzFGYPzS3kEM9hDDlEmOH6YRLUwoLun2nUS4kaLFgJq/P96ClPcNj63PAxlpzpv8+j/qbBL5cl+9s2yZcbbj0juPird+6Pf/eHaCdq2pPusdE9ymVHtK0bB5DVmhFKf6oEnKNUO9fZjlXMZRVkTeIwPXKL90ovnL9fcpzfQyCtcUtZXEJq6SN8F4AuW/hteYKzJKlKadJFup7Kyur3HurQuzw/ONIKEXPbVNoraddbsrROd+2lRZy6GNiM1Nudd3UXkIFdvDts2Z6tvAplW0UuaZUBdEKqxbW4+IUtwFNwmX5UFyimVgJM8cok+IRhVIRVqgbVjkmSB5GgW7gwxIIVA4NTYvPX32v+MBldxn1FcypifmlsOh7IQ64WwnMiJUz32vep5SuKeXbG9RNbVZWUR91aIBbX6y2n7fdU1vJ531vUsIPh5XTabcWlIaAzVzrPd/fIz74g30lNaWyOUgJKav2bdVumZSNacXv1i4BJXX4dgud3OuUMlFT/LVodNfwTeO4ZSRbRcyRysw2KabSV4uQaWea3mOYde0NW8SyVpj2Uu8XYnJHATczRFPKtf6pCxHFv1n6uym4stWD6/LVznKV54NqzJOrwQU3Hk7/Xr67uGgB6N2NL/h84DIVpn5rxRxPAg+D1Nr3ypd0hjAlZGwUoZRLc1bhE5JqNKUsCZuZCx10H1UK+ptTfiipaearacgnc+fHjs6zv12VCFvg4vP/feUmcfXdg6I6YL6runXp8n9q21Pa5VOUak+EiSiUimjqgIxh7DuNDJJYAoHGhBIIyRBjS93xmlIlVaXw4dA34pyNES3rU4q9ZfNkSjJBFFWvLvxLxKu+fFOqtj85t6i+S4nNgGufr9PU0Oh7KwGfCFwSJybmxN0Dk6mmoe/NkxRsrkOaUpS/EbW4Cg5tHcSZ4rnbrpsySqihRj6yt4Pj4RQNxsZnXaNyZn6JLUcRxIgwtGvtUHuBz+Grqeh7Dg2EZvYQn8h68mMJhdpKtBVd4lDD8bugzFc86mHGDD92Obi3lbfaDgncOtfnTDOaEL5CuFYIdGTdeP/3qQWn8ZnGyQqYZqq+If3rlUnx5R3JXy27Nc0pnhD/DpGEz/n+7vSy0Ef47PMbmV60Fq1mJ2ztp5aerimapWuuFwxNU2IQ5KWa1IKVl93NCn3ARQTwDZ/6yQHRCrTM0bl0x0AI4SkeqzKfogETciUCKK0WRKFUhDfKRt/raXDVQCwwI+U6VOS+XpIKfErpxH2FRBHNCtN0RpQj7LLPKDqZlHBiS5lzkCG7jU20aMvBoSm1vBLaShwfHqr51GpBRDMMU4ij8zL7+qLmGDOrCNVZwrzSpxmcDHalHaDb6EylMA7f6jOX+R4HSvCiC69tDKBqRuOuL2tX4s1cha4FskzPvrEdCnxurW10RM/fij0kVFMKz1kIzf7vF+8R05rwHyPoIsTxevqhB9N6uVeZfeYG9hvmykkNaRmGv5POCHxkSdGUUMr3gjHUD1soEmoP9hCGqPOh1lJNqbJvXTaf7HObTyngn+4ZnCx+Zy7WaPO9At+44bC4+/ik+GlDA8b3UrIZrPQe3ywMwfmyn/metzN/jr555JXrSF7+SxrfaS4qYH+amltqq6NzA0kLhWOdtImsYvSsdAMiOhshwgt8+MD+OHJNKRBKIQJACQZUPxJ8vcHSbUJY0gyCDlq15vy3YOgaELz5XuG3SheEUZunT5uUukBTStkI6EOq7RVDo+9Q5ZeFsmF3wF6CmTbObwSFMgdjue5gbuSOzimBQ8XaZJ3EluI5VaUzX2udljb4fOeDGqDPCU0ntIKbd3ROF9Uy5DediSssN//d54CtmzLaDujNvDuv9WaWbzO5w234z8v3WaMMhYLaizGoKF/4veDwa5SZBMwt6jfHGuHyuetMOkZzg6NHlfqUsgmBPNoiD5kTs4viMWdsDmqHrABr9lp9HhG8BSwJ1+vL9CvgMiaYPsC6Aa0UCEqR50e0APrqHd+508u5M60p5e7f7LOjnStoCtnuM79NJu4yXbbRyDDtSPt3yqeU9FXre/EKdMvWt9s3rhfNYt/xidTNRKvM5qiotb7C1ip8b4Wi0wJrdBKiplREZQupZtyaqqZuQBjwDb5Lkl/4KTLrDXVeqTM9TQulSh6xVTOzcOjCOK4P5fuSZoZ66G5PwaPNMXOhKdXa6Hs+txo+RVHOoTsG2sH7Y1feI75zy/3Uz0HmtfomDIfdwt8bdcD0H5+ax5wpa/LaCuDXWTnzPf+DYvq7R7nys00jUy+nzI2q7cKgDMAZ++euvlfcenjUqgHl9p3CCy18zlNG9D28Fo2yReV7KQ5aIBltm8kdLmW0EWGoKqjTwmyvPm+ysQnvFKMrCAFkoS1TojzPiLSdAr791WlK2cZJEdhb+uxfv32HOPfSvWJgfFaUAb6gtArJct6ifeZ7VcyHEL4C0gIN5Og6JQThApG4NKUk6j3d7Drj8NWfqc73bWPRzjXVmkM+zyNyjs71Pd73wotzvRDiiqLwKdW8o3M8F0/b0ieaxU2HRltnNqevD4I3oUzCJVaDz7m1hCiUirAi5NCEmefMX4pQiCTkx8IkihiQGyR1SEn9U/kTXePGocnjVNnzdbNSeT0/d57M/ZGgMZGmWqGHYb3MNA8jzDJvdvjCyziB9MnjU2wZgVi7gNfFnUfHxc/vHRYX3nSETFtmHHMmphtH3zPL1M01bUg83oUVXLVIKGg7uOD3rVKN3AZqbaj9bhd6cONLmVlahVKJTTuIzaaWwWhGlsXluwfEVXedEP/5g33ejkqxJkHRLhV4aH2YT0wXKCGi+r38uy8HHMJ9NaV8UCWtM3xKMX4GQ/usSEPsL1raJKAOmw/DpINMlDjhmf60VY7OQ4QUgOPjvF9QsvzGmyiaUh714HH16mupKdUkfZ+eXxSf+ekBsfvoeMvWGr7E9V0rnPsDcj9rPMJ9vr6nK0ijhHK+v5Jo9RWXbR2Qgr8SY0iNWeh7yfktfUrJv83M++NjxZreVG+NQVWVwiA1MrhgfaVRw4GF480gpJQoB+MRhVIRVtgOTfaw9gVRkGqlAOlc0UdDwSbddpqoaDCY2TYSBbzJKFGwSjTCdHS+bO07fJ6Rhxv9RkcVbAQ4Omfs6jFsb6g6WPar10d9PNTReacBv6/LBxllQukr2ASHmDVmbMHfBDhEbSZyCzjIBPOOquxb4HDgg+Gp+dRJJ3U7J6Fo3DTmYatnhEvIYQrO9e9JqjH3zu/eqdBRlflKnLTR5jA5WNDikdxn1LEvFV+tWVJAbTkU+LybblKgHNgqpBk+9K7wKeW7btzpQsbXpSnpcqjsC04Y66MpRU4BLLxQTOeTjjSnsGkg29IFa0opZdnaE6qZXK7vQjUlcLt8AlLK5M0u2/NvPCJ+sm9Q/Mcle1t4SDV70ZVfpX92OiefzS4SQinFTLfKdUCvw+ZLM9EKdo7uXZvpuHs/4sCdhXyGA2u+ywA22fPynXJ0bKap9Q0O+8Hc9Io9A2ya1kXfC9uXQpQbqkLHWWd0EFaFUOojH/mIePCDHyx6e3vF0572NHH99ddb03/wgx8Uj3zkI0VfX58466yzxGtf+1oxO1tOxTiigMvKQxVKFcsORw/CmlKmo1RVc4DyI6K0p4l13ezeGxLFqEpH574+pWTn43aCY2v5k2p6RwuoXCZvVBkhY+KrrYR/8mKSPdrQadH31NDzxXPXNAu91dZ9EEiTOl2U+Gkt4kroegGhEIQS/vL1hypxdA5Csv/35ZvERR6Csi9cczAVivma6+RzocUTgRIyceOe/q4LeBORaszdOzglrtw7QNLlpRLme2VuLGUW8gC0nKRaBVhw5oL0g8GVSc0/l8mpbIstvcukSBVe6sIDd3kQFRPMEvW+sGWVY5hf6jTo9koyt1R7SU3nCsz3CqEcTmMKJbn6FOEFIqC2w0cVZ/GqfEpx8wr7iSzlU0rhrfzycprJZYKU6OnxhZqtPZSPQx/I9KUc36N5NTgRpgmW18/US9My4pnjfbkxsNFzTIdqTfAQHQG04FohVLYVSe895evCa8GXHzc0pRrCKLlfNOPofAj5JizTtd+6+f7UMf8Xrz3IpqnSpxSmUxQ7Vyg4JB1hvreq1lmb0fFCqa997Wvida97nXjb294mbrzxRvHEJz5RPPe5zxUDA7QE9stf/rL4l3/5lzT97t27xac+9am0jDe+8Y1tb/tqA304TEo7a5YLD0cPwpuiyeSr5dkISZo/gCkzDnhNMvNlGVB8e1GGMM0iR5h2R+eJ4ccn15RaTngTAZtwSGNeKG0r49BgO3x5OzpHeTw6zW8jb05jjQPM7y9fd0jcPVBEyQlH0Z5aCw6BebQWdNh1hYV21cIth+PI30hZQS5ACsnOJ5wn68BhtasSdFYCg77pa8reDvyzYgZNMGR2rRCbyZq1Cc6yAN+//ViqVfCBy+5Kv/sMuwxjzZUpn7kcl5sCDvozB5sz8zKR5KAPwCxRF6b60FnKBJtL24oQ6S7zXSr6nquPfUgtlSRkWhLuRYz2wg3+W791u+hE8EKU7Hl9ndSEKO9X0/fAzdHGZrQckpK+/IJp0wocOn14icThS86Wzub/zuqEu/EInKkXz6TQzkxXNaqmTTpa0WybBhndx2YAId924bVgW1vULzK93EMln++/RmuV+771uXyv0pcnPgvKsVJ4q/w30TLfViFTPMqkVrFQ6v3vf7/467/+a/Gyl71MPOYxjxEf//jHxYYNG8SnP/1pMv3VV18tnvGMZ4iXvOQlqXbVc57zHPGnf/qnTu2qCBXUwnbeOGnme3Lp4QOHzaeUEe2IaANGSNSspEMk1Ur0vRKkKTT6HtZOwQIq1qzFk1nl6jaZsqRpbSVFm6QirqlVzq0vuOlI6nchNAqWD2NIHULK3HIq5ns1IuoXkccpMGmBr4RWQolWtFKOzi0CkPS756GSMt/Tnebayi1FkxrJqNQghAGECGaxphRdXc5W5s8srlNQmjDageerblJjjpf/vBmaVOmBrZ8lXQ0333OjSgE8pbXkphPEnqF/J7SiCkGdfc3odXDrHG7wj4wUJipVAwTjl+0dTk2Jq9aUku4QgoUtyjbvd/Dl2sIJRLyakVB0x5Le0RZXPVX5vQupM/0cIDNMLyiMZwyP1gDethQ+3XJ5hfcFagTb2VdVohXNtrHFfryvf7uwVhMXVZGDTC8v/cBXaLN8TRk/kxg+W1al5nvEXkHtA0kLzfdC3sanT4+NzaY+Ng8NTYu1hI4WSs3Pz4sbbrhBPPvZz86fdXV1pd+vueYaMs+v/MqvpHmkEGr//v3ioosuEi94wQva1u6TAcXCRs8ceTAdyvwWNZ7XisOv4lNKU980NaXs9TajntosOZROw0Oh3ECUaIRuBsIR9sKnFHJ03hghPDbpd0UgkXjfQFMCEZefHAzfzVcVjPLleVVK1S2qw/2j5Q46XDREPM1oTSn82e9NimgtXcqcKNriLmNyblHcdXzCmQ4zyM1oSoUglLHmGEwQrtxzohmNN71M7bs2YvjbD+48nvrk4vKrZmXmWrZpUdhufatwdF5G2I6FUhQtoEy5aTO/pCmfUjqDqkQiC9ACdcFHUyUXQljN9wLrDUnr0p5s4hBmAy1s9C+Ya0OrQ39j8vbJqw6Ii/cMi3MvzbQFQ8A1U76XXCqhAkaF1liy+kTf48yNQuBLd3JeNHCPyoVZ7dSUUkQ9dL2+a8nVbNV8D9M5Im3j2cy8OW6ed5IdByXadwtabrvwo/2pEv7xPNuFtXVUvliUjr7nK7Sm2LJmBDUnJub8gopUuC4p36rUuYFaZyvjX9Zd57mX7k2jEf/n5fvEWkJr3OpXhMHBQbG0tCROPfVU5Tl837NnD5kHNKQg3zOf+cwsQtvionj5y19uNd+bm5tL/0mMj2dRNpaXl9N/qxXQ9lT7yPMdsI+TxaUl0SO6sjLkAWQ5K5PNn94sZ2mXlrK+S78nSXogXUyWU6GKTDO/uKT47YCxxvXJMvAzjMVF//GBslSNm3JjK8uogU8lR/68vtQp+HJ+U1UQzYAyGm2enV9Uni00+szIt5yNRU3TMoD/YMNZwv2sjDHfLzAn8nRLyymTr45dt9HPuGxoEy4b2u7TF7hMaLtro4cN0dWvuO2woXH16/3vAtU+n3z62lHahtZL37qutO9xv/uMHUa67kSSHm5qaE7gcowQyFrZ/3L+rYrjcb3/ZH5ljiRqGViwEboOrGlRn3F58LyUa2g5KZ7dfmRUfPbqTCj0Py/9RVEFcJ3p96VEGcvMrHY5HYsvX2/6YlDWLORtvJOyfht9OYforA69vxcQTcK/UX1e7CmN3YJYa5imZ+nV7xTA526+xonxk/MPvyvQI9u46t+hX11zB26XyT2sQVf0sn3nrb4+9HaqbWjUm1A0XCsftcGWTkLOMR9Q80ovS53P/F6tp+HqycptjDVaG3KeUfuLPl8xHVSDRhTzhWqjF50m1gQ+BMlnEDUVfjk2PuueI9r6UHku5Hep8Rx4qZRmB4wlzu+auxQPpgPTDKDxIX0n31HuQ/gZ2Z7GOsD7unxGtV2fV6H9lJVTlI/3Zlc5OB/Xx9QayXgyfT0V81Wf92kehm/T12X6Do3fp+cXFHqI+Qe9nDyvg6bgeY/T60Idti88zyh4zDF9TL/DHKxQozSvg5mfuO8lYLzNPd6+Nii+VhnXBs9kWycLiJ+D3+Q+QO2Per2NL8b8VvhjjW+z4c77x8X7f6AK4lO6jXgr3O6qztfqWaTRZ0S/UWvPl37pMNZYkojrDwyJH+4ZEH/5jAeL7RvrbF5qjeoYmspkEiPTc8Fn+U6Eb9s7WihVBldeeaV497vfLT760Y+mTtHvvvtu8epXv1q8853vFG95y1vIPOecc454+9vfbjw/ceLEqnaQDpNgbGwsncygYebCzMyMmJvLDprHBwbS2+vRsTExN1eooHO+vACjo0XagRMnxNjYRPp9cnJSzM/PpbcBo2JJzM1l2j6Dg8OpxpHMc3zghBgansm/Q90DAz1iZERtg8TxEydE1xy/8DEGpxaUMoaHh8VAPVy1XpYxMTFp7Quctmt5MU87ODxSlDHpXwYA0g6NjqvvMTIqqCImp6fTdLPrEjE3l/nYme9eTsd3aGhITM/M5uMwNl6UeeLEoJjvo8nC2PhEkW5wMB1P/H2+t0dJAxgaGs6/p33eU6ynoZFR9TdmPGYWYM5kvy0v1pw24BMTE85+HR4t6p6anBSjo0vkOvGd+xKTU1PGXH3jeTeIX3rgZvErZ29h8+E5PjpWjMcI+nzs+ICY27BODA3P5s8GUf8ODJwQG9Z3O9s43KhrZmpSTM1nfTuC+mNs3FxvY2PjYmBgXdHeCVWlGNY47h+Zf7pWrPfxcXVc8jqWasHrwAY59zH0PGNaH8PvMG/ks90Hj6N+dY+7DzB9TNswPi5ODC6jfs/acRCNr5ofj1ExHiOo3Omu5bSM0fFJsgyKdg2j/Pg3qs/lnjIxmbVxctrsn2m0j8Bv09NTzr6cRDRofDKjUxhDg0Ni4/KUGBnBNGhIrF9QNdmgbTp9xOvKNZZTMzO5A2lYE73LxX40NV3Q0rTs4RExsMEeEZKj9ZNzBU3TAet4rq9HTKXzeFGMjxZ7BkVvivGac976Ts/4z2e8RmYb8wpjcKjom3zPR+NIvtuJE6Jfo1GYnhX7frcYHi7W8fDIiBgYWBLDwyp9HUn3v8aFT+O57BOg52r7BkX/8pSSVmmbR79Qa4KiY/Nzc2JhcTE98LnKnZ4p3jNdL5gPO34818qWvNj8+qzO6ekkiDYNj4yr++062oH3IBqPEY3u52VNF/zUicFhMdDn9uOXr+/G/oz3uWzMuyx86Xy6/uT7zs7Sc11ZY5MZDZycLNaIL7I6s3eaQnu6qxydl1ogeClMw/BZA8gOfo7pm9ynMWA/LdYHrINsn52dmxVzmu9R2efHTuA5MCKO96l8MaYn2GLFprEzo9EUcv0ze3zIGWV6Sl0nk2i/BrpSb0QTrAqY/gB/m8wU62B8YpIcj8HBLo3/HRI9sGCda6Iobwzt3ZLvyvcgYnwkjzg1mY3x9FSWH/gCoKO2eqVmlVxLsmzMd056nHUkvnfjUZL3mtDOBbazSxmk55mGFUr23rU00qSscwj26r4FMTg2Z/K2Ae+HoZcDY/Oflw6mn8/vWRQvfvxOS3sLGu9CrZbtA6As43uW70QAf73qhVI7duwQ3d3d6YBgwPfTTjuNzAOCpz/7sz8Tf/VXf5V+f/zjH59Olr/5m78Rb3rTm8gBfcMb3pA6U5eAwYeofTt37hSbN28WqxWp1LxWS9/DZyL39R0X9aWMUdmxc6eo93SLLceWRL1eMP5QFme6tnlEiHp9LP28ffsOsXm0Jur1CbF500bR37eQChdAnF+vZ4Ry05ataVjaen2oUecOMbw8mX/ftGmz2LVrl9iCysXYdsp2ce8YEKMl8asP5wlAivFZUa8Xzma3btsmdu3aJkJRr2fRxLZs3pS2zSdt77qePG3fkYW8P/v7+73LAEDadb0Tol4vmMmNjT7S0dt7QkCyjf19YmwhMynb0FcXU0tz4pRTThHr1g+LusiI4sZNm0S9ngkZtu/YIU7ppzfRjRtn83Q7dmxPna7X6wP5Wt22Yb3o3zgj6vXChG3bKaeIej3zMQP17tpVrKeN6dyacI7H1NyiqNePFBHjHBL3jRs3Ovu1//C8qNezA8qG/o1i69ZN5DrR+9+Fvr5hUa+r7RuYScR3946JFz/t4Ww+PMc3peMxmbdN9ufWU7aLXZt7xbiYzPsd+jQfg507xca6m6T3HZpL3/2UrVtE1wzMx/l0rck68WcJoIP4/XG/UH0uf1+3vkfUk2yebd6krpl8ffR0B68D6/v1ZXMfQ8+zOV2HxfjD7xvTfsnm9+YtW0S9Pu497j7YfGI5LxPQv3Fjuo7q9Wx/27gx659bBo+Let1cg1mbxvK8sl2bEE2BfPB8fe+IqNdppmfjRpXuyPmg0ySqz+We0t8PdGghjXCr909v7zFRX84YNvitf8OoqNeXrH25c6pH1Ouj6eeudetEva6uQ6Aju3ZtFFvTdCPps63bThG7dvQr6TYNQB8XzM/mzcU4Ap1zjeW69YdFrUFftmzZKk7Z1pevr/X19aK+WOx9W7duFbt2bbeWJ/twk7Y+etN1l9E0Hdu2bxc7NtbF+voxUV+aFzvTOZLtiTo2bMDjdVh0O2gjNV4cNiP6LOcVxsjyRE7bAUA/Nw4s5XOJAuwTm3pVIcdkraBneN8fWBgT9fog6usd4tj8mNIX8jnu675GnwADX6/fV5S7ZVu+/+j0C+DTL9SaoOhYvfeQEHNCrF9fD6JX6dptjDtg+46duY+YTUdhH5wU/Rv6BNzfQDTqENq0dawrX2PZfruVTIf3F0xnMBLET23asiUfAxtkP8m9oncD1DNH7i8Yvb0DxvuuX3+f6CYkJbiM/v6s/N6AOZ/X2Tcg6gu1nCZKWuoqJ+ORsv16+/btpLbE1snunIZJnLJ9R2O+HlVp3vaMvk3MmvQC5jnQYJ0WQbrlLtXNQ39jj+sdTIo5sHWr2LnzFGWN9PVtMN6xr36f1X+rTlOotQVnCarvQs4ofX2Doj6btQPK2rSp6OsdO3aKPo8LuRBg+rNje8Z7SfT2wf6q9vGGjRvTMce07BTIt7WPrUP21frevnyO9W3YkI+rXBcyHXVm2NCf8dynpHNgl9iyGb7Pin7LfofHCHhquW/k55QNU2kZ8r1810//xowvwEjHanPBW+XtbvA7VaBn/WFR75b7NtCjXalTf9gTi/Vxipjrmc75LYl6bzh9oOZ5T72v4HO2Z2PBobe3OGv7oHfzKen68D3LdyKAfq96odT69evFU57yFHH55ZeLF7/4xTkRg++vetWryDzT09PGoIFgy2b7Xq/X0386oJzVOgEkgOD7vgf4l5E+Zmq1Rh7wB4Wst+EZJ5TqqhU+alLxbiNvd3dXGoGvJsDkKyn82Eh/U3ketT4Yrazdahsk4GbpM1ffm6o9/+KDt4t+y4G8hvzn4H4JhSwDnIa78hfvJd8jM03BfeRdRqMv4BY/7Q1Q4U99QzFlQPdD36P3hjann1P1f1x20b+2uQKKwUWeroZpiTpf1HLV8a1pfZaOf56f7ws8dqDCTUeJxBnc/Qom80Xd/DrxaR+G/v4Ytvy4nxojnLUzEcpnuf5wu0LbKN99fU+36Kotpp9xnfpaocr2/R0u4Lj5HtJufR2EjoGZp6a0MR17hdapa6IaqHQs87VX9HXS6If9g9PkHOLGGo8drA+KbuvtwO+E5xj+jevzlP43yi9oNN3ObE25+xLnAb973PzC70qtc2U/MfrGPpZAT2EvUdYWKk+Zy2i8QvcA2XZ2fPJ3zfL3dHdb0mpj46CN1Hjxjcd9TYwzGlfh2KuLPMT+gvmGRr0Znesy9hd9fPE60PkGPJaAnx0cEY87MxPEUG305ZH09NT+lvnPy3xpOueItl6ATS14JDzHGvyUpM8eZXP16DRAS+hMp+9RIX0nxwwUG3z4DorWcPusWgZPoyQGJ+fE1352n3jOY04VDz91E6qS3mOd76nwO8w76fNdo6nFsyI/tSfz/JO5BmG84Pc5xH8D/dLXE0tTLZpS+hwnx8XG3/meUYx9BdEHD348FJj+wJhxvKv+Lhx9Iusg+Dy8z8j8Oh3EkHnBsgV+k/tFwp0NKP5Nm9+4PfB/37415pMcK+K5StuaA+4zOddrXYiPIPYUCdgnmjkLStw7VPBt2/rrdl7DY6/GGJiYF9sac3y1yiR8293xbwcaTJ/85CfF5z73ObF7927xd3/3d6nmE0TjA7z0pS9NNZ0kXvSiF4mPfexj4qtf/ao4cOCAuOyyy1LtKXguhVMRNLCsKY98p6WxWQeotumqxSxl7j01t6Q4xNNDqhYOLun6QBKe+gABtWdHCFLDybDdysGJstbrirPwEm2Q0VP6G9pm3A1WEX1P3SDlb5zTULvDcc1Pj4dzTptzYd/oIKFOuMtG67DBERwsR1mfiZwDZ/BRUHyWNv50fb5VSyeW4EC5mBO4P8ySyvZ7K8bOhRAnuABpDtrq9lG0VKmz8eXA4GSQ41U8lymH4K524HXo8nOg10877fUqgm0TFU66CHphn6fLTTg6dzmiN5zbtsrR+bLu2LpaXym+UJroMc5ZWPuma6KjJyHfVhg/PzgivnnjYXI/0+fHT/YNisMj7Ylk1ExQB5X+m30g50OoexHfABAcbWFD2AdG+UqIfD5tC91LZNfZfDZ/8sf7xY0HR8R7vq/6qC27Fyj0gimE9IWl7wUe78sFa6HLz57Nzi+pfp48+LUV8QMdiHbxFm5H5+XapaynQEfnkkfs1h2dN9Epoc7Wy9VRUdS7ho9L9IRIw+evytE5F3igChwbX71uhELR0ZpSgD/+4z9O7a3f+ta3imPHjoknPelJ4uKLL86dnx86dEiRwL35zW9OD1rw98iRI6m6Gwik/u3f/m0F32L1gVun2WKjGS492oFcmJmk3czz1etV9ccsucmocMs7NQdswBXtwXBKJ5pEANOJNcuapVXSV8CG9T1icnaRJeyy73G3y4/wE+4vRUATEOGCEmToxNj2vr4bX2ifhTCsVR8ygsN0OwQOeMOUwpPQiGK26HtyfuBmu6L8BdXVRFjisvCpUY0wRa2h6tvtCmcvv4JZLAUqmkz23Fy/NuGSXm8z4Z+p5L6CLVub2DKVeeouV1krjrWpM6cwLdQDut6m8rDS2Ual8q9NKNUK2likte8Lxnz2GHs/gbHcS9z57jgylv57yM6NRrtxll2b62JgfE4MTs6LM7dtEFUB91FVokM8z6jLk1wo1QQz4Xu56BN9r2ykLt/oyfI1bRG0bLD10+BEuF9RG5S2NT5CSPctG9aJLX2mb64iqakBTpXlI7SyXRTMNi41ZX5jvZJdVcFeqC0O6JOv/OyQ+L0nnSGqcJDSCi5D6V/DyTwt+Cu7JDEPovLZKij6KtsiI9jKs1YzUSdbHam0St5Qp1HyK8Ujkf3XAh7VRdpCafexsVnx6K1+/pNXOzpeKAUAUz3OXA8cm2P09PSIt73tbem/iPLIBULGzbO/tkf+vVbLpfc2cHVxTAj4GvIWSmk/lyHYVTCgZQ5sGFIjTDqL5QiqbCoWBkq5ShpJiTvUJv5aXpjwJp4Hb/YwzCdrKvS1pdCg9L5CqbI3JAl3U67coC2T6ywvw5OPkMItWJM1Yj1Qc6rse9kYO9fzsvBpqyJsIPqtFbfDerPgwKlrl6bpmPycMBK3P3/e+APT1tUdZW74OCE0BZ+V4yvM4NZJ8Yz/7uI9XUIWfc9o5oLB1m9yL5NJbHsnLsWPRPk3Wj3o+s6L8OpNjSszabG/0MWOTBXChYQoVwpyqr7B5oprQlFKLCBNQVWbSHuXwHLN2e1DG+l0+PlCILGU5YcKw0MPcjJ9uYuikvs4XjNCiCOjM+Lt37kj/f6p//tUtujUtFizkVO1oM1MmO6rGqRU+UluXYDT2bSzsjTlBS02vP+yvWJidlG85+I94t3Pe2DT5VW9rs3y3ecH/VI9BHgNhWruSB5R0hyp1V+ZplTpUvzraAaGAjO1xzBpAQstiGjXzIUBxoN39Gc+ddd1vFHb2hJKRbQHPjeT1ht4ZlHWPE0QdBVml6bUNNpgmyHAvsBVlFXP54RBoeZ7Gxr+szjCLvsOt7O78TljRmgmxja+qoAh3HzPtOVuzW2Ml1AiML3vcJedh7gNuA8xgyIPKBwD6ivcweZ7+a1aYmeKkhbSlKoRWg91Y18VU4Ghl6gz/EnJ+UtqLDa+S99zduFLOAOaCw6oDC04AxaXJA6NPv1dAwRuenn6+Bi/N8GuJ16aIUmQ+V5GX+1tqnJaU8Ik1zmD6jP9CXUZVXy273d6virM6Wzg6ERIfbrwD2spqNrEck8364Y8H73iHvHYMzaLZz/mVKYi3G6/9nDp1H0pbB+X74HzOWat0q7Qs2yVtPyNF9wmfvNRu8RvPpruY1176a5jZsQpqjVAp8Avkq0sHZh/cl48JKYWbjtN9fTVAAKpKtGKZtvmDcXn8YIqN/Ba0F2auMpLNJoj//oKfShShSNct4pvCxVmc+D4GZWn5utqhaaUq0TfPv2tx5wqfvkh21Nf2lVFge50rB3xW4QTtDmW/2LSBR1YMMI5R9frp4QFXJ2KUMpBWDjGNwSKgCWAx+WShhB7WZ/UlNqw3s+n1JPOyhy7QmQS7D+IEv5ljeLbYLtVow6Nepr9g5Pi5/cO5999b0rbobXiAj5kjM8uiC9cc6+4d3CqOp9SShn0Zir7ix07T+jq3vo8IoWFFYxBYjFJffOFt4n9J2hfSqGg+sQmmKFV8fm8ZUGZtqrjXjynwLVJNVFTf/fSUlLK9cigtMktZKiSiXNpBNjozzX3DInzfl5EmtKh09LEsdZC1rpLI4H6Tf61akoFdnZIev0SwllWOp/DR5/rG4UX4OokD3JqOYBai/YSXB7mccqKwPBhkDNxB0fn+Dvgp3cPilsPj4qvaC4RMFxrh0rHaZTjdpX1KaW/a1ntfTZ97oORTx8qqzw+Niu+fJ2ljxVWyv/99L0AQGmiK78ztIkWNiWG+R7m0an263WsJQAvAiZTEno/cdrVxnmJmQMwh0DASfEgijDJo/9lnYWmVKBQiqBWisCzRbpSZc1+XSj8T1KXaEnLNLYwXCTKl4b1rlt7frCjUCoiB3lA0pW+PdevTsT9zPf0MqiWFZieR+Z7joYZB8IShFZhQINz0+3whdR4kD6l+qVQyqEp9ZjTN4s3//ZjxHv+4Am875QSY5pF/jM3T8oERuKCG4+Ij115j7hveJq9BW6XarbLX4oOPH2/cM1BceXeE+Kd370zL+v+0Zl0ky1tvscIHFRmZZlgQOkyfDSDUvM9KagkfFcp7atEKsWXcXR0Vrz/sruar8OzH3ASl8ZNVdPPJZiQdfKHKPqwqHzWhMM+Ghvq4d/zwGe5MDDWgE8bnEycmY6i+Xr79aG9+PZjpCP1tDxt3mcHRf6w1xRdsmSV7yXPBZQ/xrJtKLuO6Rt6c0917SVeew0x1oRLMbZcav0UAqNq9xJK8BWsKYXapPtywVqcuaNzIjgF54fOZ48p5ei8CXMjiXmsKeXRHvk3tDqdvoOz+3Mu2i12Hx131hkK6iDsU3ZqyG3hUZs9TMs9Apvv2YRXtjRVoGrFRV/XBT4YnZ4X//a93eIbNxwuyte6gbq40y/VqXwSl+8+ngo4XY7OfSBrlTRH0odmhC1Va0pRZVQlDDIEgZZ5nTTh2y4EzqAqnuX0riGzPYlovhcRpPnib76HD0aehyNGg2fZR1PKQVioW912aUpx7QihybXGRiEJbt/6HvstZVK08+zt/Zpa73IpAY3uEJ1qv+l3JSHDMJ91ygZ/n1KW36oQSvikxwfDwyMzym/XHxgW/33VfvGYMzZXstEmzG0SFSWujO2/nDM93RAelzIZXC4tNLCmcfw+iwIXNIOEaR9es1QfJpZ5L3sK5vPXf36fOH1Ln/hfj9gZ1C5K0yYk0iEhA260z6xDPkqVKrRutflGCp2+Pskr8SnV+N2lEWAI/gJeyDyA09Fgue8hsJtPqe+6MrH3PEzxuIUWCFOQKL/7rw3K1In2KSXag5KDpgulKE0puRWFvgtHP8r5lFoufaiTRWLfWbZ3KYRRkrb5vXihMac+/+iV96QCgf+4ZK/Y1r9eVAmDl1L2nCS7XCTan/qUMmgXyisCHJ2TaVX3DzJPqTVeAYAXDXV1YBVcVihsHpiYc6ahlHwo/1vePJkSZTlMS0nWKadaFYEQygpqQi5Jqop6xylO2PbulpvvVbSuenuiplTEGobPIvZhHqhbA3+fUvjQYa9TFUo5i1fbGpbcFEqV5DpDiDZOC5s4vlmUmlLcxpMfaHD0vRpNhH2Jt56OihIS4nSwmeh71ohUARu5L7BQVRdI/mD38fTvnfePlzffQw1STCMIMwnOf4rv3JLCrXXgU4q4VQs1q+g0+NwAUxow3DrAfXPX8Ulx6R3HxeeuvreSG73EYrZl5FfSquXodYRpSpURJKht5tpZFagu8fHh4TMXuPLK+EfyhS2vJPPLHmMY2oIqzIuLssx9xFW8jxA2YfgJLr/eFirSUi7IEdWCm0tlBYl4j9fpv/zY3V3u0EnRGjodqpOZMJiHKLtf+Eb40gXSvq9NCbIBELVYopUC39RPFPpuu7Ci6WhS6lBP0srGQzxWmRsHnebZv5eF7r6jCh9vvuaorUDV/rjwelIc2BNl7js+Ib5w7cFc6y0fw0aXFjydaLuj85BxaJmmFOFTSg8e0mpUpynVLdYaoqZUhPWAGyb5V/Pnfk1STSl3/Zx5BLc5zyDzPZdkv4pbboWGltWUUj4n3vWBxoPUJAEH1dIfEMeYUAcaOQb6DZVPhLQ0nVJXQoarDvG7gjdiewj7hBRKcZuaz9i6kkDEC/DTIWGbv9ThKRScwEGJiiej7zFpfWsuzPe6lIiM+e+k+Z4dPjxm2xhHn/FnBFASnEbOTBPaXLIUGRGPo0lc8zlhJBkxqVEK5cvPJjj2nb95MiK5XcCceLXJ/N3cj6g8+iMyDVMX6eDf0q5mtP6t5WqdaxVKtXBRuZyHG23x0EzzaS21Dor9hWurvY7WOTqnn5etzupTSjPfU4fEY3xc6jR5Ovf7qT6lfEwHE7uJkEf7Q9dbPmeWm3cl4Qsb/YT3BcUH8qLOIeRw+UlUf6fKSkjfaya9bM8mTWnwhsJzOjdVLveM4j2zi3j6DOMCLs9m9QGp3vP9PTkdeMnTHljwFY1DibywBTP1g0NT4oGnbPDy6cvSoRbNiao0lPRS7PxcEsSXVNUmqj4f9K5B872198YRLNRNMPsbsmnpzEwhwK/lzjltgOS4dJd0e0rRlAojcOV8ShV5ypKvEB9AumaW9IVS7+nOb0tZwYzMhxrKReXwbZOXFhQjWMSoBUbfo5rkG5GKLVMRxJn47NX3iq/9rHCKTAn3qPxV7N+4bUqo4Nx8jxdIhNxQg6ZUMRZJ68332sTwJj5ztwQt1Mc+9H1w4Af5nToA+pSLx10/E8JYFppSQU305u6Tig8xrncuWEr83vzhK08ToIFg0kXzkEG1qQxsfo+kBkO+f1bIpQUNl3N/Cs7SvL8ypgbKr5riAxL5zuPmWhn6xJn0lz3g6P7OKAfuuSliU5p6fr9xe3QzPqVkP2NNKbsg20+T1MjX+KuffTHvwA1TFb7X0osHIvQ8VTJ1SeEKQMNpmtsO5WqfE+ZmtjY0Ab2bMT8F7RgYny3hH699vIU+H8joe6Sj83Ao8iBLuqNjmRsJfa+X8xsCH7zjO3eKS+441jZNqRC0wpcTZ2HjIlFVWwf48jMu9K5BTakolIrI4fLX4WQemLJgR0KBvvj60WEqK8MsF2N6Djk6d97Q6sISd3uMMlpDQ1ngd4I9XGpK1Xu68ts+7rZBPwBnhQgyjy/jofswoDSs9GGgD4WNdniq+VDNs912BmsFExXcct+o8t12yFAFBP6VQxQ/ecvMaatg58tyE+duUH3HcQH5lCoEJObvVftsaI9IypNBdWiB4EMuHlO8noJ9ImiHyiy7uYa45nPCY5t2IqUhYvjwKcOASsEB9ZMlW7Pmrerhyy0VcWkgqM+JeW+lS00IBSw0DZa5awx92kemD1iFinmMUmcifrJvML2FV9vidnTuo4WQ2C4OPMaOqgNvFz7aVr7g+r989D3NfI+gxTnNDuRHXJo3EorZS1JN9D29b4HmeJvv6389xyn3zaZrSjUu9FoBlaVJlP1b+tDiaFKolo1i5uXZLl3YYDpXV9EqWQ+maT85MCbeeOHt4ouWqIYrzVsYmlIUj0QI+cpA8SllGRDOx5p+YQvBPWygthdfgXEzqMqnFG9hY6bh3qVqAZnTfM+zU+s9a09Es/beOIIFddDx0XyhkDHWhWDEz9E55+sl8fAp5SIC2ncRDlUI0/qob4pcr1YTc1JTah0WJtClUCHhOU0pJV/A++Nyfnr3kPjRXSfM9iTN38ZQBykQqDQDxyWkwbjifV73J2YTEHCAaH2v/erN4l3f291oA82gUzfS7K2o56SUgrD0EEya74VrSnUSaA0OnvmmXo0L0YwZPl+fKEW7GvSQcUSa3Zb7HRY5E09ZLjadNsvh2+hL320HRL0M1cE8Q69c9TUS4Ow+WlA+2lS2qKR2ulQtsK8g3Ear6TD67KWcE9BojrbcdmRMfOanB8T3bj1qFO2+IXaPGXWooJ65NBspLSb4zRWxNgRclM6uqjSlCOG53Jua0WLxv1yk06j7Urj5nu47y+dNXHPATJ/91ce7WS1ra53aPo73iHz/JvLpWrPZM/ozLbyw88q8Tymt/RYh1ZMftE1UBbw8vr97KP175Z4Bax7jzRyC6CqhF09rSlHme+F1+bq10DWCJF+h054ytIgyG64aVfmU0kH1uSto1sJitW2paj7WWmR23smIQqmIHNTBOGRx2Q7nfo7O1VOA+6aIPjiSbTPaGk41XOrUwXC9H2aqEcMK5ntYKLX32ISYRv61cNE4alyNO3wpN5a2TVCdHzjp9287Kj5/9b1iZHpBbUcFNyVUk6RfDTK9j38KR9+DvyWlvq6aGJjIVMz1qrmDiQ3XHcgYsfuGp418uFuUKEeE+V6ZjV32O/glK27d8SGDOjg2j3YJtqhqTOab/00/aKkCgvKaUjJ14RNG0wzVNEVtUDXktHoQGaUCMuhVuA4/FGT1Po7OcRvY8h31Jh7vjdsVkqZ4bgpHfELVl4FVU8oQSvkxpl5+3ULaqHxO2OijQfBogKRF+iUIhGo/wtSt+zvUIfsQ3sMVHKQK7aPyPqV08z1TY6Ew8yzS+TVd7U82FV5jzILF7fIxfcEpoJ9CBPqYF8208Tz5hlx7O2H39rIBa9g6NRYRm9/nAkfm0GzQZQcxDqNtpukq6VNKGxbcd6/49YeKstDXA+bfdPo2PDXv7cOu+Nwm5qKxPqixoYeruXOGrRsKTSk6+l4OxxSnNaWSCnmvpLU+pXT+J9c4t/MKgjCt9a8zfG0qv7fZ6mY1ITo6j6BD0Cbhi00Xasm0QCNtQoQiv347am8LhltTSj9wiKZVs0WLta3023JpvgfO7+S+AxHf4N+uzXVxzu8/wcjroylV1qcUxRyOzcw700j4qu9TZUitAgp6crC9//G+QfG8x50mNveuc6anNKXgMPSG828Tz3z4DmOP1xnuMuDKwIIPycjz5nuhGjvF/MB59VvsrIGO9eWxHtrFNob6ZMqZGNRC5UaZ8FeTptG0GtztMsPT60dpX5993Ltk5Th8SlUgaJHJQqc7q9npmB3kIcDjYEBHe2OY5EBhbDPmeyRNawzWd289Kh68vT9/bts6Q5sQFv01rJ5sz3fRCXs9tjT/8PVb2HIVOijP/mh54i4s45ogVPM5RCiF69UPg/jgJttd8FJhDVb3eT8awPFValRYH00p9bP+nla6p2jPB9CoRjpTKOXhU8qzr2yAenHf2C4xqCpcQhd8aelydQG0Uq+fErrbNH2q1NrAZQFfKnsJgst8+icHxLMetUv8f7/8ILYtrWQuqL724bNozbMS9SvnDL1tZrqc1899SommNKV04WWzl4lcfl+fshhgMg6X8qdt6UXl03NW4alzLUW6MaFa764+aVfAgJMRUVMqwuqfJsTOXdX2UNNhjR2f+rPv9HMKnO+DvG2ieZQl1Kr5Cv2ZrE/zGSCFBeu7u43+HBif09oq6zYZMF3dvoxPKfhMMaxzC3rZfHm4Hfboe+Yznwg6Eqmzx9uPic/85F6yXVTNXPngS6Uqn1I+t9NU2c2GQpbdDswKHX0vSwAb/4ueeEajTlf7RceAakuosAcfJpaY8Q29TcwPlcinlE4PbCUue8yRvNxGSbRPKb5cX2G7NTJqk4w4+XugXxzbeuSZZJO5tVUR8pq2w4VOc+4dnBIX3nzE61ARyvyGtZmmM1xrsDCULdOjAbpZiizdJ49sB/4L3Sf3QSiTj1gbPnE5QU9ZDRxdwENd3Mh5ks1P+a5h8J3XXj6lPPY8vW8NQZbnC6Tv65s2z6OOjY/pvyoQ8ocuKMdCRXnwJU1YCdNtl8YMJZTn+HMYR53vo7qSE+o3K48yHZ0Xn/FwnPfzLLjMFYQpn01g1k72IyTqc9KOduSV0OZ7oUNnCC9bxHthLUJfH6zAy7/pgtuC9w+XT6lQ872kyQRRaMUjCqUicuBlwi3iJCA/Zgr9fErpjs79F26oKU3TDGhwbjOf6wCo+pMoGBzQ4nHJZAp/XsUzyZibhy+/tzF917jz2MpuxqY85PZHqs3fc2LSO4+NcdVvDNU5K5pGwjG1hE+pUgIFJLCghVKF8KRK/xswF46NzYpv3nhYTKIgBcXvFdXjZb6J05v1cz6lFE2p0Nu1xl+p6WAKk/xNU2zCGXxjSwU9tR5IAw981GWn3Q+GP0PvyufjL4r2L8bUYZyTIWX4uzSrKaXTqrL+iSiENJmjZWxzkHZ0M22itdvsZVBaIwVqXmZR5dpOZyo7ZImNB2j8xRdSIeOpHuL5jMr+wmlKEQE4vNsBl1ealul1B4bFuZfuFROzC3QGi0NwDtxlUciFll5OEH8HZoqKmaMZ1ATXoT92CV1UgaW9jZQwltpvKD+HVdMgvTz8OeSep0ptHnddxWeb+a9JyyqsmPkppws12vVE6NBRwstmwNHV0HKHJ+e9yqE03120PZiGORofhU7lEc33IoKccIccmiQhgFtDH0ZAZzhczulc0TAwqtgsfG29Q9rhXR967iPkIzWlPG5CbO3Tzfx85oItieLQMfCgbNUe8LgJV8fSTL8ugHHVGdEqmR41ypE036M3W2+BQr4uixt9RQNomRBaBZrHcnjbt29Px/24ptlXFlDvfcMz4oytvbkgkeIvrGbHxG+KIAqVp2pKlWNk5KEyFcJrfl6815+F4fqn827NhVGUyYVN+zU8LHdSWlNULcdZUSO/ndHUH1E0ind0TmgSBM4bX1B5sVBq24b14ujobPq5hX6ZvREq8G62nFBTd+qAit0HyDmY7Vvu+vzbiD6j6VP2EG9qFJlrE9+XQPouT10IhWZYSFdrou+p46PzIOAvDP5deNMR8WdPf7DWbrUcb+GhJsyi1llp4WHqW5Kgrdp+jE28C5+QZnkuOkWbKpvrwza3zajLxMIyDvgZqva3jOUmamTMpBzfVaFOEt0EN6/aCkGErcRCcUBNpV9EhdIi83zQ3Hvx/RLKa/g9z5uv0GZ+7ZW5IHeldvqUqn6qnDSImlIRpJYSqxZuZdLpw00qREE7D2fKpxOMECLvMt/TG16GJlQRkSLE9Ep3QF74ibJHM8R9j7ua9ynl9156Oi+hFKOqrm9+PpsvRhkmifdnY6KbUjFh6m7Gt0zIhpWb7yXlDm56+ZlZi1mnFH5h5t19KPSrWzLGIVprNly+e0C8/Tt3iE9ctT8onzpmJq1TNKUYYWawo/NGcnmoTM8EGs21C0FogYx+YAFhmTSjpUitebNIf7Yhv6UlMujPaj6Mpeumn8hPOlk3bvrthznb8+ySxN0mH5hVmrknZgvtwU29PV6+XMKFiAFp2UsYZv/2oAPkfNFaRY+rvVyX1ogUvkNdrPlNCeezqlAZ8TxBZfCgzPfw3h9CghRa49kernzV16EHH5DYowxKTM4tEXlV+usboZSjFeGaUn7P9HoSxickv3ZM+mODLgAL8W8ln5kHenotyvXzr7/zWMPfZhngOYz9zVZxqddq8PsHceHTQgM+2VeF8D3rR1273cUr66bGhpC5yVeoShCklmmh95Y9nxuPsrwcB/fZqI0TdpUhCqUiUuhrSO5ftgOMrYzMX0pjQ6up5mZ967q91F+DfEo5NTn07+FEIYQJYA9lnowhbd/vpymF86kOJfnQ51T73EJDW+sbaSyMPmbSrIwm8cw3TDrXFtf4r7MwXvomXgVD5NLcwsw/l9Z/ThfrsojkZDLPwLz7+kZJVohxvOi2LCz9jQdHgoQVrnZhBl7VXBOlNaV0R8WUqYSvWY1+UOPg41OqDF3TGWKuvGYEw1Q+TiDLgRwilkkmklrpYTNMtflsEgmlJI0OcS7ss1arFqCrZTe/r+LvnGagrzkrdgCsakpxczC87ezeiYYC/OOMzSwEl6fv1bpPutA245S+UXY5DXQlKqyH6YsuIOJop884JyWEk4pQCqmahfgH4upR8qHPM/NLStAQ+ZnKGRKQga7XfuiG5hoHb0ITlBNSyTu6s07ZIH7vF84Mpjs6HVPM99B8tmvw8d9bfcT3cd1BXSo1S271Cydcnn4Rnzs6131KhWpKBfI1LpQ12feFOWfN507zvUD/oG6NYEf+KJNiEYVSEfQBiVlWvotJLw8zUhA9jsujMy+NxjjhknQbBzF3kWT7msmf5gugRrrKu/wGPWlR5GE1peTetETcmOV5A9rjMunS8+jt8D3UU2XYNcXc5bgO4jZfSnrVVatts+ZFBFOLu9CnGZhxyoSbshyzb4BZxIc5e7ntMX8tGzEtCWwL51OqGUfnsh6phZcJ7nEb/U1TKOE9BWoWmwcRvP5DByYJOwwzS953frn8RJh+78xEvPYHoUkQKMz0hWucpSaJS6mjytEanJwTrz/vFnHx7ceyNnpqsirlOxL60MrCUW3AXmlpKxatQ/2cQKHMxb0acIDen7547UHxgcvu8ipPf2dVO5vSLFH/+padNKmBrkbf86ABWjkhAn2Ffjj87qnCSeH0KVXGSbtentJWlPZDl+8TN9w7Qpjv0TTJKnTxoI+f+smB1BE01y7TfE81HyfrkbwC2kmqMOVTNfhDLB7aL2zPyi8+c/OvGc0ftl7ju0lvdG023RLFqRhYq9DROZG67EWUkd6Tf6QusOS84vKF+5Tyb2vIbxj/9xmqGfNaQRRKRaTQ6alcoy5HiBi6PyjJsAFRxId87sCv37RSBxG2/cGaUs4izTrKqBRY2uFi0HVzQRwJxVdTCqeTNyZmaGC/tofMhUIDhx9nxV+GXxOM8kPACd+o+WV1dK59D5kKI1Pz5E2Uj5AhHzePOQTmcfuOT1jbkvqMarwNLfgr3jUJMkttLYPoYiZ8HCXrwiCj3KUWOjrvog8FWLs0xCea7WbTz6cUrsPxEnkZRd6QsOJlzRlITSkPgWSQ+Z7ejQ6tjLnFJTE8RTtf5XD1PYPind+9UwxN2X2qSUfQvr4DvWFJf/4Nh1P6JCNgqcKA4jPXJB+hKtXehDW1sOezBQXhNKXStB4+B32hZim+6F103/C0X3m2CLUJoVlSAR/S7AHchw6qYwmaUpxQx9Ue+xzmLhsUngj1H2dGyDa+CeGJrZ+AliVNuIuAX6++ezANJEIByjKF7pT2u87jZX/x+qnCvRTel7CQ1cbHmwIa9Ll9LIf1YoWjZS1ph2QHE4emVOCI6cLLZvk5TrsxtG8SD16IpyH2ukLN91zwubC34S9/9Wzxqw/fKdYiolAqgtz0YAO76dCImNKiZNmWmi6zwWlVQunpU8rhnE5tb4XceRMqvEG1BjDwuD9dPqU4Yk9FWsvK9hMo6KYKti4vZDp0IoMptTLJtMCETe+h5acUSSS3+Z0wfEoJPxwamk41Ec75/h6zbQGOmDkhifwIQop3f2+3eM/396QmBKxpJ3oXqkrQ6Cl+dzDFSZhpQ1WgDjc+TAnJ0GJBD2LgOQaoWUfneodQTC3bZs/QyiSd8F96TR9qbY75Q1qRDxFTLlc+KRRn6tAPmtlFAN+mS+84Lv7xvFvEkdEZ4YtP/fiAuHdwSnztZ5ngB+MxZ2w2NaUcHJpC6zzOHrbDrf2ywj1LsvlbRrBj5tl7bELcct+od+3kGkWHNXkITqxCyRJtV4TxonltEq0JFK2nNKW8ilb2P8vhP3H3ia5J6twfEKmErKG0s2ibfYZx/jF9ogjaLlh1cGaNtoO23KuoFAl1cYI/O3lFewLKfC9zGm8/0BcRtKv1dO5zSd0KgDbo7ILpt8wF13zInld/IWffZ9Ufc6FUqKZUi6PvcX1SWVcx64YKFMDVGWq+5xKoWfk4j6rqPWtXNLN23zzCulC+d9tR8V8/vFtcf2C4FOOGFy0cjFSNHT6PeuhotM2nPqf5nn3z9UEVG05IEfrtL74RsSjyOEPv6vygr7BNVf8vNOEoyI2RSxKkvk+UYeORfPrYdXgKcebpe+Nzzf7B9C8cSo32MDe8GLn6v5LPTIfDbYM2B1cPZ74nkR1+ymik0c9bcWlY9kZK1d5R/xq+XJjoe8F+CBrJsU8p/aBoc7bMaTDgCE86SEfnlnJ9aVxIuGW1Lp6hd1Ro5Pcxl6A0GtjonIRQxkfI8qO9J0QodGEx4C+febb4lYftUNZt1YfBICFGi8vnAOPw3ov3iNsOj6FyHfu7MocFrymQ2DSlSrRVPxBJ7ayS+iT6XkJdtuFDJ7X3XHrHMbH76LjxXI/0yQGn40ic3odu9wnq/lbWfI/S7vHx8aXyUoh2lhSOcZpStrbJwz6Vhhaw+42XDzJH5xp9swih8u+S5xTNRZbUc1BuJUSLzLkkQIvsn79xq/inb9xaoi702dIe295aBtkYcfQqIWmO6eg8UFOqCfM9up3Vn6ds5IYqV0593tF51X60bL+1gBE+iRCFUhHkQrn7eHh0LF1bAi9MTCgfunMj3wbi4FWFppTtFsoXir+CsodhC2M4Obcovnvr/WJoco4hXlig4KcppWz+xO/6d1tf636HfBwsc0l0ZtAe9Y8vn0JSAZNh15Qqpyq13nL7oTDejttpzoGr7EO8FnT/AqZpZ0NQSQwUCD59+RldYFk1mj2bmz5ezTmP+x2bxHHR92wHmh/vOyGuuWdIa0NiFdiOzy6Io+O81g23Tm20j4p0ajO38+WXbIIskzFv/nBF7QVUW80IVklzzLhH9uPjtMmMDQlDHx59+qb082wePdE+8XXNx0qFUoGHPnyAAvODbf3rverXH5XZWimNImx6lGt8WqLGljkscJomZZU/9CYoPqukOwQiKipew6CF9x+X7LWWbXXD4MHn6AIOl4Be9fWU+JnN5e1Rx9bWdtbRuca7hIDqAu4QayvaGn2PitzGCNK4/K7fTQ0YM5P+Wrmj84qVmbjoe2Xhw3PcejjTvNStP4yyyH2l+GyjH+2UNxQ+peyaUi7oqX0u2zi64CtwzZ6LSmDyG+bzPJp8Uo2ljdtMvdmXq4m1iiiUiih9GDF+Y9LVNEJ55rY+8dYXPcaaPytDMpfuxrls/A1mz5L+zvvHxVevP2QwEdU4OsefE8O044Ibj+TmXWYoZIGiGYb7lJKfTZtx5ZtXudR3UijFlIej0sg2TM8viqNjfqYw1sOax3zh5qpEj8VuplbyMLPOpt6G5wWTRApKOGeushmYMTf8X2ml28zzUkfneT2O9YU/M0mbc6hdLVShZINh8XB0jtcO5xdlYnZBfPan94r/+fF+NcKkNnd1JnZgfE687+K9ljbThxTbYceLtfE8rDJZ2CihdFp/Zpb6XdXiMDMZdTsOGDbtD+2OhMXARLhQigLMC0kjfB2dtxPFjTz/u+wv/7idJqg54pofNh8jsj3pb8tMRMaSezorBC0rlNK+Y9Pcgn4gU/wWOFfG/cdplekCDpemgc7LlPXhomvTG78T/ZXlU8twwSX85l7Xar63KH9LvAQaIe4iXPtp5lNKm6up2aXZDqVcxHNKlJIh1Sw+pSo4hVYpDKL60scUNHts9h/QcrhwLtUWQ5sa1yf5lgZdrtG8cahmG7UPYhwYnBJ/96Ub8oAYLlR1CcAJBrk57Buh2GaOWxa+wRg4dHXQvt9uRKFUROBhhE9nClEksawpt3vru7vEg7b3GzepGVOLy5B1qqC0hPSIciHt1nHupXvFZXceF5fvPl652qWthDvuz8wVwNksQH+lguG3Ey3cTsVBpYdPKRt0oZxNEOgy36MEY6BW/eYLbk99L3H1SlhlUvxPaoVlzfdK+pSCec9Vrxy2mU4rDig0g5RQznG1MnC9maNzvs6yvkvKCh5aCescl3Qmoecn5xOJEwZhYZUilEpULbxmbuzxZ9vNJqUpZWqNhcOuGccztT4CS29H59RNvy4kIOY1R7eWA31KYWFiKLhyTaFUtY7OQ/bB4LKR9iwWnLjq97kwcu29eJzlkivaUkQRFVX7lGLWUojJjO2iitPwyX1kBdFl+rM9T+Jnvuc41KkCIl5TigxSofxuHyfe0bm5T5anb5aLAEvhCxbzvVQAblkHvkL7UPM9HAyAan4hlGrOfE8HFkT5lqevE/ViyQ3fNens68C1An5EX/2Vm1JN6DJIXBc1cowY870QAUcahEDXqNNa8Lmr703nkgyI4S6Tee7fLHv5Or9B1OtyBROuKeWgdyvI6652RKFURIqkClte/FlLhwmjZLx1Yqn7CygclqqFrSMEBqGCbh8adGJSjayEaXXZC0pVcGdPqx+GMYNgNV8jmFf8WSeoVOQiEMrdcLAIZ5zm01TjbQd9uTFyaSimVPpZue3IGPs+VTFGylwN3B51HQDfDWgdMt+zaatxfUZrSqlj4vK1o84NrLVDj6EvI+fnzBrV3Wb1ZL1JlDAPp1EcnROmQXoaDMwUUmZFUlCkC+FdoLRB0iiWFi0FH4Y0hCYVmXB+V1L34cr3IKDsDyV9SnHrS183Kc31HJ9Qn4bUjptpStWUQ697+YXRrmaEyz55sWYFRaPpbtL2IyKR+9CN05qJZUsSWyCGEns6pyVYXktM/a74tkNCNrmuy16U+To655yY632oH2RtZULWIF9OzH5HQeFlmIsenz7jfFO5yrCVTfmExPl0GqF2cXOHYPidjL5nuFvQD/jFnGsKxnkAa/CXLdLkfWzwrYYTGpYx34M2SnPBuwfKuUThzN8LTSlH9D3Hi+s8nktTytreALPGcBM3mo8w+pwoVr4Ty1t3mE+pWsW+JFcTolAqIuiW0EfjQLf9h00H++iRjLcu0dfViTnpdg+h72sLi561WzSNsgwgJjAhRaibQ8G0pJpSlp0ca6hhyCxmFBZcSxYlDswXP3rF3Wy69LvNl42VaabCE9PMJPUdly8BWnd/9NSzvPvYdQtpezd9v/CdF1hTalZzQO6jySHHjRMAJYTAS3ecjfsy9ShlMQPBmlQhM9/LPKLN5ntWsoUEPILoQ7wOlVDouTmGClf4eUn3YJzLajrIfNmhMUz4Z2PifNujUCYHU+hjOuOqNr+fYMrlnpHMMFl+Yo5VwPh897aj4hM/uifIVw41b3QT3yq0EjCaWXXF4cftzw/7cQoF6Zw+QBiRtgPxH4pPKWqcLfW6QGnXhY+bus8rbSK0XjNPgNI8PqAWT80bn6AwOg/hCjqga9Fzps+u9ugXl2Y9xWf+8sZdJ3XZg1HG/NDlU8p8FtJHJTSl0MVicYmo58v+KrO5xLrW1wl1WRpWnrZvhTfJUrZrLvPPk8rHleeU8vMROmelf7XjUQgt8hEYhw4X97rNyIFsvnlp8297nwcHrXG0vVmrmppYu+hZ6QZEdAbKHEZCNg1MGKVQSd+MEvawqD5fRwhkQhnKMo7oXIyKV70eWgPc7/I7CKTs5nuNdLodv/zdchMCn8dmFjzN9/g2cEyOxDxzoMftp9onoc+d1/3WI8R9w9OVCTyCmH3fdCihHpbYx7Qiv2lN7PNe9WOUWP2NYf9GlAljcZhjXoqaQ5xlQxWS4ZIwfb+g34j0iiBKO1C5tANwVWoUv6Qp8z3Kp5TrcETRCfMgjT/7NUo9EDR/eHI78pVzP7Fr1Bjz3c2gfuCyu1KfH48+fbPRVl/m8ls3HUn/PmTnRvFbjzlVlAEMlSmUsucJn0P+aU06DA/sGrqqY2RKIEqNh1ZvKU0pU0giH+lCnOp8nJhOt/M9uqz2h9YEvL7zvgMNV5gmS35tvvruQbF9Y917zepFAv3r0sZSvwR07g9aWrlHgXN/LMh1jjOMq6XtlLl0+g5UP/q2l2kH2T5L0VIQR16CUVo2HjxBkdaeAMo3NUGLnsT8OZRVmIcmphsI0TzKRd/jx9Bn6XoHbaGeMXPJudcQZYSQmVTQxQl1jB/oy/6QAcNCe9iLYD3pfR2q5c5qpjbBp6tnFqZ8Yv1wNYYKmatqO4faGpZKRU2piMCDtU2YkLAbHt701rPmeyqTRzms46JLuBzVuW7zfVCFT9GQw5xuVodT28335MFA05SSGhrGi2ibTs1vI7DNBZtZGGxrZvQ9s/1UvXr5rnZycAklbGXg6efqB2485xrRtShwxeUqyExiH0EFbisKvkcKGIExxVGrbEhW2KdUaMQZEcAs8ppSbr8iitaaYUYbJvxUTVAabXDearr7RXnvFtBFhaaXJKIJyWh6CDiINLgJcCC+/ciYuHdwyoiiV2a+uiI7uWiaHvUzxKeUn8ZB84uw5lW86sfJVrv+jKJfodoLuAiFjlmixpYZ7yr4CiW/ha8pBF6FWbWrPnBK/KmfHBDvvXiPdzsNoZSHXzbXayvrdjlRhFIu6JdmNhLytm/dIW47LM3/TXqpf+brNPsdg9tjbf0q39nHr1rWTnsbfOvNyiIiHiPTMKx5T/FGXRVoNlXtfiFsBpaLJFyU7i6f0uJz+UhrBnkgqMawco7Og8pEPAvnV7UqTalmaKV6XlB/kzwGZb7L83hhals+wnM2r89cFWtXKhWFUhFhjs49CYl+84MPjZLY6cSTYyz1Kili6Yy+52ESpqPWZIhsuh24PP43m0Py1HzPI/qenqTG9JVyiyjglowrN/GeM4Wjc/oYQjFIHKixMt4tNdEIN2lolnFwmU9h4L7Qzfd8/CPQUUX8b4uzerTDGtE2CfBNkGsYBDDFVQQECIXVMb1jbeUCD2bUuRtr9mAi/BydpykD+ko9LCTK7TsnlPNhUF2Ry1x5nO/gdQj0q0815fE7KNjqgoifEnof4mhy7QAMlX5Idx0AQ1sYsjRtGnVcW7CmVFk5McXQuwQJpBYIuQ+CJkA1mpyUFkOzM0b3O6doSmHzfU+h1ImJuWAtbRcfQva3Y4B0k3MZfdcakZZoKw6gw+HDP9xH5qPKY9u7bB/TEG0ZHxcTlKZUiPzeLbQlou9h/ly7aNM/q47O1bLLyECajS6mrz2fMbUd9OFC4pb7RtPIua49gxdqu+amyb+5kFhoipyjmC4A9IsNV3U1Le2CtjYTFGXWvddTtJtbK/aibEVbfeJZ09P5QsyJ+VL83m0F2ONVhWi+FxEmlPL8Tb2pVBn+wtG5SjyxdhVuk77Ae3SjaS+fBvbvfr6DzLb5QCf6HFy3LHmdyNEpXY7JSOAHLvM9DjpjZ1PSyMeWKU8ypa56uDYZzhyZm3mvOkgmJPFiblw+LpQ6Ub/PappSPkxPsR7og7n8SGnn5N+ZWzXqUJEyN94q7+qhg07TOlA0QXivO8ksemgoYU0phpHB5ZCOilmNRTsoX2LyoANCOao8ik7A+95wcFh899aj4m//10PV3zzbkgQJK3x8SvnRb05AmD9jDsu/+ehTxe33j4njY7NKG3Cobtl/MD6ZmVD4pG1GAQAEUKHme+2Ez3mk2KIKgbarDP1ZGZ9Srj0DaxbxAgVrFWSd5kWNaApYcD2/rJpc5Wb5EIACtQHnM8ujhTFWPs5j/23mEJf6lGqY7+tCWPdhzy32kxcUeGxCHZ279rNQ2o2j51LVZ1qzDL/nNf/tdWNhAy4TzymqrOKCszlCZPMpVWXENe/8yEQRouK98Zu3pZ/P3NYnfudJZ1jzLof4lKLSBbWT58/1tS/fR79cCZmr0K+SZ5G+f6H8n+wbFJ/56QHxyw/ZbmUJqZpsQrwQcDwHd7ZTaQ6dtux6drobsJlHe5Rf66B9v92ImlIRKXzpg69QBftbgIMvJpSF+Z4p0VeILkMosFZEfV1XSaLiTqMz1VVogIQQYl1uk6vpuszXGn/1NFKQozP9igZGYvoXINM5+sPmq4h2LEgzz+ovBajXz/VPfLq4iaHUw4v7a5cUn2c0n1LUBsrlx9WpWm4ZsBN5LpqOZGByR+fEO+DDT4g2jI+Nf/s1pfSDltlvXPPwesFCJs50LnE4Ku4uab5H3WDLgw4nlONMqD56xT1pQINP/WR/0xqgLqefPtH9fKeX2rdmJv2JnNdwyKd8eU03In5imiSZceqg6AJ32HLeVtfoyLIuTTfl8qfiPYhLx5p3o/7P9igulb0ealk5hRXaXFjS+I9CN9Et9Odg0lLiEMpcpHmHo9d9MhL7Iu7bEJ5E3WMSf19iVBrLxZYP7ZJ7FA7+4Ssgcs3fXMODOMDrbeHba/9d2ROWlsX5NxwWu4+OW8uW5t6koIIKqhBAenx8qupatbhOTGeoi65axaZFKo/pl0cXzoT4Z01RU/cOGVnyyMhM/nxwap7WlPJdOx7roio+qNAeVl9PpzVBNAIJ7bsbPAX087dvyXwmXrt/KFhgYtcaCmsb9dmsL3H2VfM+pVr7zrU1LJSKmlIRKXxpQxnzDn2RreuR5nv2PMUhXH2Ob5P71vWIuYV5t6aU47sPKJMftj4vxseehjOX0310cfn0zUl+NUO+4vdKFKYD0uY3jwEq+w5FKSNKFbfhDE/Np2rVZvn64Q3X6dH3zGeqDc3e3ErgftcdneMK2UNTI78uRAzRlMpvPhvf5VhTB0HVdxb9TlQ9VfheC4Wusq7DKujM6QydF89zzPyzQikljXkYkuRLF8K7oNxgL6uaUpwZDHUY1jWF8MEwKUULXXRMNB8gQrsV5srSH+V1I6U/3F7sA0oelDNmPPtMuZqALq1awCrHqZM0pcw1435pRRBEzD2ffqMdndszmhctamuxT6kyplcUIDln4qj3lYfspVFm0X9Zm8zf4CfdfI9q+bsv2i2GJueV9hoNDWgThmkK5uC/EnWs5P5f1zWlnId4t7m8bnZkmuO5tWdcQiw8h67ad0JcdNvR9N8ZW/vcPqUoukWkD9GU8qGrss9BO21mfkkR7Oia53q9iqPzWrW0xPdC2SaUCHXHAfve2759h3jUaZvF4x+wBZVLzy/qQshPOEiNdYAgxjLf5XNMcymE+nGUqTGf0gyspnaJ/3zirBs4rTklKIrjJVzR23WECOGN34JqWnuIQqmIynxKqQ5tVSYK3+Tn5nuk7bN7I8YH0P56txidDgtJTH2vUlIfIti6e2BCfPqn94qX/NIDlXRfvf6QcUDBddqslYrbL/V5zeJ/A0O9NeP6zxQ+ALOza1M9Nc3b3LvOaDMG1uZJ0zGf//G8W8j81sOax9i4tENsjAOuWt62+WDZ4uhceX9LcbrfAko4oEZsMvPjMcah0nXAjar3Db+PUI1hKnTmQEbnDIErj8EqEkwNN+ZqwAEP8z30WREQNj7mN5DpA39CQo21bIOuYeOraQPzd7nLHuVOfufmwuDkvDj/xiPitx59qnjg9g3W+vgDoTUbOnzjw0zxOzgr39K3zjSBWTaFJJj0TM0VwmHZl4VGFd0oKItjclVTbf+xlfl0mu/0KVViH4IucSgWZmUzdfGBMDg/TnyZ1DOqb137u6Hdg/kPpa6EHTvfOYjL4kzd9LS2QAwUX0Ga3eI5gYRsHO4ZmCzF71EaYSH7N10mrrvYo1warjpgzbu2JJemlM3HjWyOi9fDdJ3z26Xj8MiMuPSOY0zdZs4gn1IeiecafizhEmJGLCmuB1TzPXPPUhydW+pgtaQNTWXUdiKPjy+9Zvjx6w8Mi8nZRfHze4fFGVt7tbaZhfnyZz4CtpC2YsGhky9luswlkMH50vpyuim1NdU2h5pe2rpkmYjsyYHi2ajycx6GyMufR8ImUKhCgZrXfblVi47OI9Y6/H1KWRabVh4uEvPa6xqHMtNnk7bRMG3DB9C+9d1eRMVgsEU4QrQDXLcb8vN7L96b+jmBsOQYl915PL15o+rPnMjWnBtjzTMiHqd5g+uktKsoYda//s5jxTt/93E5s8ltiPMWnxQ+c5EOe1tsospPJW7srYIh3Nb08ONsbpY24TWlXEwa51idGjvFuTZziyS7xMZfQB/Lbg5ZL34+O2j87RduSBlFr3rQy69zqJQYavWE6n9w9D2P2zXFlFLeSneV08ygfH3INnCHO9qnlFpOsBlEmrD4CNG9IOz8279zB9PuxOPQYgflX1A+O9agn//67TtY+oVNnhVNKeToXJpaYtpCmrVaFk1ZtXtZpi4IdkbfK7GT+ZvvBZbLaPO4yjTGjNSUcrU1YQ/5umYRd4D/2I/uSf3LhPit8jkQhUTEkq2WQgJq7eC5HEJDfDW9DV6JSKxH/HJq8ig0puAdOA0drj2UQ3Ad66UvHCzAVoRSdL7CRw8vQNHT6gdIV9suvuMYUx49h33L9ZkFugNr7HoA8+fU4V8ZpYrPyy4tbb0t6Wdj3bnrwXQVXyjBpQqe125H53wdtnaVuUDwgavcEHkLFvYpmvJNDH+IqbCrbflnjzFQxiz35+brTqQ52Nvnrqu2dmVSUSgVEUYwQ9LJpLq5WWG+Z2pKJR4OiLGm1IZ1PaUcnfvs4jphUPz3ODcClIAh7umtbQBVxkl9mFwjTY07oOv57IdB/TdcPmz8WGjIEWDpX6FIF0i0je847Lean1Ki0cfB9rvxG3Ew9oGvnbn9Zom/9ZUflQ2WO6RLoZSFxcAHhhDGhxXI4s+WAj925T3CBwtI4BOqXUUxi66ohwC8XjmVb5xedXRuCofDbk3Ncc/DN3d1iRc+4XQjDykYwG3VhJy51piD6cdfB8ZnHe3myymeB9JvLJRC9ZsHOxyd0ywLm+/pWmfc2rZpvdjabHtHrPm6vrE/rrj5XhmBV4nAE3o9ZRyd27R/lb3BwivMzi+Ji2+jNVnIdpMh4Bt/tTpC5wwVKATTj2Z9Svkc6siMeVuyh7oZ4fdvOyo+fPk+YjzoixxDW14TXlH1ut6Z1JTy4N04XodaB8olKMPfYWzfuD79OzFb0BulDqJRIb7+fNhIab4n+W+s2ajs9UobTIGOjWdgBX7L/LtRF8puYbz+PYxnxBdKQ5NzbNuoGl2XhrZ2uvIbtepC2CQgsJGsL8TROZ7WnhE+ufx5/ZYCgkwZGbaW85uKU7m0xbDvTx+4utSny20aZ7UolIpY66hEKKUdmooNTd1kpCmf06dUHvJUBdYKAPM9P0ePPNPqiyDiXKoMB+FEjCDpwFgT4pl+l2okE6AzPzib3GQpf1+G3zDqjZhX0rVMQrU1KH9ZHB133dhT9dnaoAgpQoRSlp3KtsnqdetChaKMhqDCKv1SGUvbWSlzdG7eOrvANr/iq0J82+nyKWU0RfmsrhsdeKrisZdOxm2FK1prie7EuAkNtEQVzIEg5feffKb4pbNPUfLQdEItkzqEcP7sinTFd5+w7kU59HNf6k0J5iin9XqabA9SnwGmsKNzTVNKvySR0A/Sym+Mw+CsfP4t8UEPm7rb6soaaf+5mSycwIU7lMLvuL/J/cCjdtKBfeAhAGueQHfWFC0dvpw5i/YjdRDmfUqp8NEIytqnpqcFBKppTRnYNd65Q14B2YcFL5Y9+MYNh8XN942KGw6OqGUYvGFi7ZeLbz8m/v6rN4sjozPGXu2aC+safqrYIC1MAdzlBHkhhx5ygWEw/v43H57+7V/fTV+CEbSmavM9qZ2+vjvjmROGnyIdnaNhsk3lMlqYFC/uEuLqbgx8qsX14OjP2O+aj49Qu+aPvk+izyIc3B6kpHEI8lwX3zhXQvoR0/IHCkyCBOCe5dj3fD4vV12o+Z4Ldh7e3Y21aL4XsdZRvfmemhZvMvImWieiuuZAceiwaEqtb2hKVax+CaiVMEMpfmeelzGVIeqkNiC5+UhBiZ5EdhvlFJZqX/Yb3daMIefb6lLrZw/0zAFUh/7+NcvNDq0twm9q+u9c+0JvoWwbn4tJw7+paal6CoaLM9UszPfsmlKUdomr/azPFqIdzUDRtquVO2Djz1yTFEfny7y2X14eq12pHsSaM99LtIhxXSQzT48veh9LyGk6h/m9txEBtRl/Yy7Om8rnMrPA+YDJo8yXp5GmlBwrKRSCb1RzA93gGOVTUAKBICGfqyr1YFnxBZTxPUnNNA+PFtGqjBSNTPzFCV+RFMBR/dSMplQKi7AQA3wicqBoCCe8NfYgX02pPD2/dtK5TPzuLJsR0ugwTRL5sjiXAEYgE+1zrvVF+hUV4ryf35euzS9ee1DJnR3S7e8sAzdwdNjl89Dn/fFeXnOk/YOnnIlMh3ltEqv5nuOdffYSXVMK8xJ4veJoqpQTbdtMTkq0j9SUcgmlmD3cmgelwdrkw9MoGIBjrxmdnhdjMyEmvmZZzfD99O/N+ZTi2o+1IHERoQKTECGebzkKPWHWq89ZsqxQym2u7MZa1oayITo6jwgTSlmS6UQAb3jysAQMtzwomeZ7qUWz0SZ9Q8Y3yRsaPqVchNc8rIhg+Jgo5b8zZKmZmxO8+VA3SbpTcsPtEmO+p0Sm0fxkFBHfiI1aK0dlXHjVX3jmE32PcySd1aV+hzml3tmitERfhQhZbO9d1W0m/sWmSRxsvmfU0zjYaI7OKaT+bagySKbNzfRXDUXbLnA9UkJJrtncu/HR94rPVCREKiS3D6h5J00IOfNFp0+ptCDz8JMECPXqPd1iQtBmKXpZPsJ6WyFKH1AaNbpQHfu+IW5+KfO9wtG53nr3gQn/ojfPLpSq0eZ7HhoDofDVetTLvunQqPj0Tw44yhZWn1I2wKsus0Ipe149D2jrnL2jv9EWrMliP4BwAQNoGuJHMwC2YaQOT0UUODN9ZorK/+6FEGGWkbV4oq4Vv+qwCZ5rihi8CgRcSOyZIOAKVSfVFrVsMy23XvB8w++g5wXN1Rc8/nRxdGzGq27umat/feaB3K+k0A7zEnJO6Tx4Qsxf20VWGYF31pe6Vn9z/UGB8wepm3ZyZQPP+g9fv8VRB9/mvA7/JntpU2NhNVlGYF8VZsJ0/lBhiq6gULZtPB+hrdf83GiOPdeOqn1K2Xh9dbzodF1rWGAVNaUiUvguSat9sLLx0wILbHpnCKWM8tS/FOOYC6VcPqVEOChH7L7lsYcvD+aIA2ZY6U07IX3XSMhNy3WrTDFzxrgTt8QUEuaZ7o8Hp5PlzjaixVAIOfBUTeCptvrA9zbGqSnFpPVydN74KrvEZb5XRHkKOMSwc59ud1lgbTs346Y3xmyXT/Q9xaeUx3iq5nuadgGKEOYDSjgmzRCko3fOZNfn8gD/Zi53/qDm0pTyufF3H7pMRtNHe0qlmeZBXjHfa/RlN3KUTA1xWUfntosTnE0x36veeq+0Fe29Q1POcpULEcsepeTT9id6XO2N1ve0r//sPrH/RBF9rgjYkFgPDLbYBebFlilUpuZpiE8pmZEya1OdyNNtshaN17k1HX3Io/qacsielc8T3NSPnadZo6kZ7BbkUz7h1M98XRSox0of2LSNJV1Gc5sqj3puM1HybTsXfU/Pg5crZeqo+JSyDBmvhaZ+x8koeYDb5YJmdu5BCX0ulKAkkkYlQkyiCwxfGu/yFeYCwXabaYRDUyrgbIS15HBgEO+LDNI0lc/L/bL32EQawIQrx6dMlW7YKwz3KeXfpxxs66gWhVIRax3etuCev2GfDplmj1A2RM6nFLUx623DWgH99XKOzsv5lDIFAM0Bwqz7p8a2yKlmkJa3aJPJSGTfBcNAqp8pn0kDKOxxkU6tH1dXMM30Bm+LXCZzzC1YNgpdU8ryfjSDY9/grDcdWDARcMNiO5T6mlbgUOdZWjMxFpZwTE2x9vgJiM1klTnieGXfsNDNApvPhWqMqP3WOEgmPuZ77oOCsn4I7SYp9KjSfE/SxFpgFCPOHNQWwlv/Xl/XjZ7T650rp2iTHRSjKUkI5w9F/55rUqIk0yj6Xh6m3qH9YfdfZmmLZWF3MeZ7Toe/qMiq+VjbZQXZFiWNGtzEB4VJGlF2oFAK71nZgbsY06rMSciyGl/1596OzhsFyPSUMCU1tdIEeD70TynL05Q8axP/Pfd9lYTQrqK9er8kHkJm1z5ic20gy6AgD+Q+JljcXm7yRNIqoFEWR+sI30G6EMYGHzcCC4uJ4nMLXyxizUZqzuEeLUdndJ6T3iN9XS747isYuBpdCx+7KaCK8uUvTM0+s42hXJBzHhBjpLYhSwCRRX+457iy5xnlpybY9PmhLELpLQij3nvxHvGmC27T0nJlCG9BINcSmzsRCq7pYDuP+mqJrlVE872IFL5r0ps4azcZm3vXZX/7sr+UaQLnI0SvEh8K+nw1pSyCGA66OqxqLeRgEjyZFrWN9vboUTakurVep+43SEKPlKOXKz/rmz08++aNh4326H1O0Vj61ikpnG72dKVq0aoKdfZ5dsFfU0px/mowhmZ+nCSYSWAiwLmwZLuGZ2vQygDTB8Z8MHd0rmhKqZB5dWaZAu5TpQzH7Z8PLQntcwo2wWaYhqe9TdyBxocWKtpchBPjkH5QhEfLqiBFagfoc51iLHXBjn7nrKdxoS4POeltvDkmSulJWdpnluVjUiyTpEp/hKB8cg5rSiWGphJVR9moOVZH5ygj1gSu6mCAUfZCJQkQ0rCOzpk9HmATYrnaTPWt5Dky0ySzjRRCfARS2sJcdptGEOVnkvLlV5he0077Q2DL5RJI4zql5ruLH1IF37CH+c1vqn/dArCkpNBC5Z/yvA7NCvwKej36/uoT4ZV65mq+z7TNtWqRppTMhi851aaYAgpjjylB3/F3au2SEZOVOaT9JtzA/am7j8C8dBmTaKqOrF0mvxBSfFqeYx7nddTsbfrgZfvEwaEpsfvoBFsfPm+x5nv+zW/Uz89PrJklcd/INNc6pUzcZr2+7C/Nt1HgIim3BPlw2fiImliriJpSESmaoMNkGZh5AGZz1+Ze8ZpnP0K8/NcemqehfEq5hFtG9D3p6DzUuYLHC1965zHxxgtuS50byrYEZPdiQEOIj3xHmUVndHVTO86nlNEmY4NXifmth8fEnqMTab+fsbUvz6OPF8W4cMOyQDBIenuoA24Zkzwl3LHWRxxku3/tkTu9fRO4YFOq8mWg/cz33IITn2kH/eZrJuISFhhlVEBvcAQd3Z+aC+TtGpMXj5vPIVDVlFo2npf2KYXLbXyW808K6mteN87oM2O+Z6tbT4eFONPIHI5KW/YQTWmEUGVxyxE7Ol9CZc0omlJqX3ICCluwQduysgk8cL6yjs594aux6HMDbZSN9nxvx+uN9tiEUq7t3ebnrtArMjWBQ7RZqQMnt3eaFyN+ncGZ3uPf0vfx1FCi8rvy2fgB/XfuosusW92nijF35COEzL57N6eNw18Y0kIJKjnWkFZ8lml9JftH9WtGzVX+cM21gWq7DVIQI31uKdYMyliah3/b9FW3db4drEDOV1PKQ+Dj20c4GExWn30P8T1e6OcQOpJoGNV2BeWRr+KKvgcCKcBNh7TImMznXEip/WCdC0moL9XEO72/4oT5TI5pVY7OnfywJUH+y9qVO1kRhVIRQYcFq6YP/ozUrOXae/yZW8RpW3ott0i0RpPeNMy0S59S+iZjaxv1ncyTCHF8bFZccNOR4AMV7icsEdcPgCF0KdHKQ2dBpU58MMDwMafQ+xuYr/NuuC/9/JuPPlXs2Fhn/a2oKt48swr55M0EZpCK38toSvGHIDVMO5HAMqyuPpMq8T6w2a37HxTVflc0zBp/8VrgbijzOWR5Pyz8dUYr9BA8+DKvvqBMJ31vask0gdH3uOHEdVHO+guhVFg/UFpacqylSYbpU8revvS78TvtV8OnXTPkmnUfCJ2aFoGCKl0LFzuHFkjoTQnkpClkJsAw63X5wdHbImENxlHafK/5dVQVsGEVPuQqaay0lv+tjDBTd9jLHTqhv+XlQ8jZJD3UMwKbpKT53hIhuNahav35t9fXR5FRpiEsCXd0rufPTZkpJhCBihTsqiq/nFumy3FpsfvwiqpPKbb5SKu9UUeqmRoefc/FsfrQAXnJt54wH1c0pXAbGu/p6+i8jMUFRRepAA86j6jQbo86cX58oaXPQ9rvnTk+dB00PSgLnR/33EIUuO5NdUuJ4lIb8ym4njBpChZ+Ur/5PJPtKNJgWkavG7XfGs+YmRKq1OCiQnJOD0/Niyv2DuT+3HC7bL1YE2sX0XwvIojps9+wqRt/vviYTUxnWiGPzvBTBze4mX/mw3ekNz9bNqxTBFpcXdzh3Ad55AaCyIX71cGfQ31KmeZ7VJ3FDbEKn6qyfiy+A1E9Ojqb1vnbTzhdfPKqLPoSpDGYCYVxUdus1CES89aOMHPChFyHaaZEm+fowjsYS2BAVLM3E/rGTP1GMTc2cElDNGZ0wS01J21RC805xNelhIl2MEaUCYrrPXwAWoqX7x4w3hPmvhJBp5GAP/gnpc1CfA40PoIzXVOqzGEO54N+yP2ENCY5Z7KLEeIvqqibLwPPR6x5RJWXNKkJo2qh8bRaRnKTgF7A2jJZW2n6Is3nuLEpeyjz9T+nBgMRlcN3zgX7lEJaLJnfo7D22M33wk93eE/B/nIoGpFHswvxtYTM0PJnsm4trbdPKY0+q9oydv8/LviaHruEMrhNnKNzW90+vCFVV5HXxXsR5Vj8LBo0xtDOMjPgOaReOqpp9UjTKd0k90/6csDVZqo9HGR5UuidrVcqoiM+8JvvaOMrrfMqtQxQy03bvgx+Fp3Nt5qB+2lxJiwtVvwSNqGpY0bfMzMFyT8smvH6M/7so68ZSGeOsf5ZcXSuCDAD2u8YG5crCL/ndDoqkjuH6jWlsr9v/dbtKZ8B/nGf97jTlHbZ3QDUxFpFFEpFpPA/FCcBt4gZuPWlP4c8XSQTYuZ72TPOJh3VciGdzYNYCSaX2Kw5qISeEyLYw4IaZSYuoZ6aznR07iWWItWcQRC4YX2P6rBTZ8AC5PvS1w4VCcbH0XmIE1383qE3IrYoh6G26HZNKd8yTGGKLY2xYWvvZRszOEjJzZqbz1Q9PuZ7vsvvv354tzgwSEf9wgJBWZ6X6SDDyPjcoqmOzt11UeZ7quZeyKHSbFfunFv6lNIzeSwT6qbRxfSrt9bCar4X6oeLbKNG27iylpQ+Vhlp/SDPRffMtVSY23GbgIFyEkz9ZoMSDMQhzCjTm955yrQfHXKpjZ+kHR7vamjlav4U6TwE8w8Hcd0XIgRi8RDyGEIDSrid00t9bywnoKP9TRVm1WXphy2bSxiJf8f+8WxQ94di7RqXkFq+JU14kAnj7XXJMeDWIscC6PwT1fa8XagQ/AqGMFKa71nKyp5TNBd9prNZ28ihEEoh4SDTRv0SywVbM6CsLmIlwB7W7fE+qqZfuK61ze0C3pNJAZ9F20epw7J2WkWr83OWr+VGTetfjS7YTIjLIKWTzKJjupoEZU1BlUHll2TEOEPBBTXwUYE+pVzjIq1B5MXXYeQnC685DjWxdhHN9yICb09907kTGpFXmIOh/qTGlGEVOHgQLheCfKCyafHGGnbr4HJSrautmuZ7fu3GTZc3SrqpIHVLTL0LtRlBHTJyGmW+Jzd/m08pytlmbjKopcWML/Yno9cHjMod94+lWlz6jbXyTqiCajSlwrQXWMfbjb+2DRb7WfHSlGLaazxT6qDLC2EjZf9TAilZfoj5ns/aZfNyQimPMlX/XoE0y2hfYjI+UmgsBRkeJrtGuz0Yw8STEae0j7yEkZ4CBpyK6jt5iDUFHPggz7dVN0mimuUrlNLHznese9f5m++pvj7CtHGc6bxS4XI1kyAmDdeeEPM9Lu2WvnXiQdv7G3mK54WGhjkOquNwvg2UryEfU5MQ5NqUhK8mrAFdCK386/N2/GvwStp7L7u1k40itf2d83upo5z5nmw3V07iTWOy74ldKEWUIfTLHzS/OD865uUA2Uym7f5p5cWt4lOKc56fmLSlmYAE/ukcezt8tggmXH1kCqXodLi6EG20oixirJlyeJ+vJq+q/m7Pr9epJ1NdM6B0umqxB6iktjVr8wVolq2ON/C5sA59zPe4tS3XQlpOANF2p03EPScK3vUBDV+8uA2uIENrFVEoFRFmvmehUPrhw8V4mI7O6Vs5wxwL5VMEDlaHenq5Ihj4cHrn/ePi3RftFoOTc+4KMXH0EOSw9cvNRzCOzrUbQtPEzV1ZttcXDZaaGDIvLsK2SReq4OZvIMgZm1lIP2+qNxzVEwxGWZ9StgMM6Xiy8fcr198n3n/pXeLz19yLtPzsh3pfk5ysblpYFHLbrQsNSeEaI7SS+bGQ0TYl4PBtM8OkyrWm9UnjoU4t3xNH0PF1YK+nL9pT4oaOTc9pVpnrNmTsTS25wgx2HevoPJxxpnxAGLeR+ICL2kU6Omc+c2nI3+VBUxkL4dCUKkBF35tlNDGxTykKPg65wez01sOj2m9+Y11fV+gNyKqe+9hM9V+HcojwKt3/jGHTjuPakjPcXYVjed+6rYdd37RonOVcwKZJuuAsL8/h3J5qQ9Y/9Drxub338YOl0vrsb/ounsIgqm1VRd/LNLb4fZ4rEwvzXELXEDNrPQ9Hozg+MfdF5aB9ehmK6ZeWODeTR8bDVHm0bx26/RRC5oEMTIGFBTAOlNP6nA+qxFQLl2tvL8Uq2fxa+rw97k/dxYGivcxcpPqZ7/E00zVEOGAIzmNdq4gG2bTeVR9oltEkzm06lQuVl9jOZS5Nf6VpiZrm9efdIt7wzVtZDUNdEI7/SlCmrD5wJYX2wQU3yUN6VFRbw7pSq0Io9ZGPfEQ8+MEPFr29veJpT3uauP76663pR0dHxStf+Upx+umni3q9Lh7xiEeIiy66qG3tXas+pYxN1FEkp+mjPjPzYZqqaB2UvZ70hN6+ewYmxReuOUim5TbQZqLvuXxKyb7ihIG+NeE+l8IBPYpMQjFgxGeK+dh/Yiol2uAPbMemukGoZblVRd9LiA0PMz3yNa7adyL9e809Q1Y/J3hjC9KUsjJsfnNXN62iysSaUgR71fgrte34jlQ0QpzMFZ7XDFMh/KGHbCY1pQji4KulRSXjhgD3saop5X7PBcXpfGMtoV3XEZ/B2j5svieZqzLBDYx6iFVrE1K5HJ0raR0M55PO2sq0qWibXi8uUZZPWXHrEcuc5nuMw3db9D3ZT68/71bxqR9n/vdknTZBK2ZCe5FQSi7BP/zFM8XbXvRYoj7RMpQpOxecMAJv8qbfx1eX1nfE+S1HXgojoDQ0pVBkxqALAoLeFHNSXy98udThiYquVwgQsCmqd3O9/CpRvyn8C/ixaxCtdG4WnR1Gu3JaaF5Mcm329Snl0k5h70w0/qmM+R7nq6jWmK/W+xrjcO0/uCHztlv6zNPz5YJOs1y8hqwyDc9muNLR2mRqfnVe+tTpZ77H+UH1ESbotMWm2WTzJYjr1S9idHPRnOZaaKLVLFkrX6fHnJ80X9gEPi5XENw7DE3NiYnZRTE0OW+cExKbX2CLINAVLEsChE3cuS9vQyLEkZGZon7qImQtq0OtZp9SX/va18TrXvc68fGPfzwVSH3wgx8Uz33uc8XevXvFrl27jPTz8/Pit37rt9LfvvGNb4gHPOAB4uDBg2LrVprZjchQNW9LETcdlFCFupE3NV/wBpmFR87MyfwIryw3FFTxk3OmY9/bDo+Jz1yNDyQ0Q5Q6Og+qv8Gw5gIF+veCedUOqB4i6LSIGj6EZ4TaaCfjm0P/THXzvuMT6d+H79qUl0tpoNg0pagoY1x4akpzxR3tSzJjrhs3f6kCdygNmYlQBOcrQz62OzoXmmCTryvrT5pRcrWxmehPUijVn8kr2foxE6ELZM267d9thx1KYOoLfEiRWTEjFCJIpw7A0gyWYmi58dWnhz4vU4bfeWig20VrStHzVa0z++Hsnf3iT5/2QPGhy/cpTF1x04nrlc8SVohOOu1vtGfWYb4nSmlKmW2S8Dbfa5g047qA3u3YtL4awZEnydKL9jHRwodY772tUayt2/WaWZ5CYO3O4jk2zzOGAXxKdfmY75nfDQGGJW2Q+V7eGSbtyYRojWcBUilfTRXbuP/b93bnJtVYu8bVDL2fpJmtTcBLlZvxg/Y8Gf0yD/P57642WvgHimbWLGs8X79KeVSbzRFRNXSZRuf1Cm8U5skFk65qvZl7lhJ9z7Kyk6p8siZh5qd+kfHKm+9xbXKlodYc11apma4KqU3zOuxPjzMj1UGZMnNt1oX5SZOXH74CsfwZMztwWsUHGCMIJPkOrWjsgxh4tYbhhhVgTeECVDOJ/B2TFwKWAautYXlVxwul3v/+94u//uu/Fi972cvS7yCc+t73vic+/elPi3/5l38x0sPz4eFhcfXVV4t167LIbKBlFVGVA3M/ZgYf8rj1ZZjvUTf0VEatQNhQgMexMpSeR//wSBFmuusODImx6QVUN26HimY0pajohVmbJKcRXlfG9BXppICDFs5o5VMCDKKDTkxkJo8P37UxN3/EZclNJsR8T6kzNJKi5bbG5VMqRCgV4uxRh3TIaLuJk59UYY0pcEjLM8wKaIfLlBmJ6x18Dkqud7Zpycm8isCn0ULfPvbxXefWlKLT4z7Hh5fiwInSBh0q1bQwzKamlHvN62akpFaahbnWf8d9QkXfU7TsOIZTtlfUxI6N9fx98t+JbLnWY0LRSPW9M58pjUPXsl1TSprvQVnU8FiFUsy0TYUhnqSibz0236tVrtLvvxeWKRv1N7Fp2Iq096uak0uJTfU4jWF9/tdQ3TYhsaEtSJhiFQci7bkoZ76nNBXtSZz/RHvZbtpF/Ya/Yx9/WPAoBUE+5duEx/rcNHxKLftciiSlLhaKiw36OVeeja8qfErZNXEynzZ+vn7otvvPBCnwzPqy0T7GZJRyBWHXlGpCeoHL8Xim8nBu4D6ab0StDTHfWyrj6DxghYJZvx7AIf2E3zNRI8tyZqS+mn16G1WTzqLOZgQmmbIB3Q/URQ2/h9Lvqms45bJlpd8SpzVAaAQ+G6Ct03NL1vW5lk30Vq1QCrSebrjhBvGGN7whf9bV1SWe/exni2uuuYbM8+1vf1s8/elPT833vvWtb4mdO3eKl7zkJeKf//mfRTcTd3Rubi79JzE+Pp7+XV5eTv+tVkDbMw0i9zuAyY8PAbX1SVpfowxg/DICl127U3lqmhhqCdrQXTOeGc7stPLS2wUBERSW8udfuu6QODI6I1737Ienhwzctrx9RJtoh5OJWFpaEpOzC8RvZjlzi0sqoV8u2ouduWc3Vf5xRGQ/yDEFeqr3FTyX6YDkKW3zqCt1yLtUpFtovAts2llZ2W+wEZh9hcalURfliFDiwdv7xInJ2Swdmn/yPUAoxbY3UcczSZm67Jk+53Eb5BzJ52aeN1G0xIq5S5tiyGdztjZqAAEW7TR1SXl/jmGBmmAe4rQgmNH7DT9LtHkO7y/fK6MPfL399S4xOJmVhecwRSuW0O+wtkj1ezz/GIevErMLi8aazeuC9+yuiQX5LmiNcXRMp1v63M36jp6rsl/le6r5lgxmEPocrx+ZV5lziE76zh+l/9L5tJTPKbjwk/Qep6kRax7PD4oZgzmit0v2X76noHJxv+lrNqVHKC3uS+XdctpW1EHRazz35Zir6yH7rNNGTGtlWdNzi2TfdzVoXJbFHB9938KQZZs0Y1mZryaK9bMe7YHwqdg7zHJTwRk2EbXMJWCCs7XMjIEypuZ7cOtDffdG3xFjiMvV88n9iu1XfV6zlwnqOMtxlPsWSSPSKLhZCm5+yrbrNMO2TtISG3sKx28ULVPnr+Rp8PjmfZBAXyVKezlaybXfl4/T0+pjIJ/pbZDrOO8rrcz8kKiNa6p9hvlIbaygnKUllUfUkZo1a/kyfqVBh1k6n9HqfI/U24oAdLfgdWx9n/UN3hOosUp5TINHRWvfsfZcaxMD9op07iTF/IUezVqb8RhUX+m8HbYWuG7/YGp6bdvP5L6dvZu2NhHvJevV5yduS1qWx76CgeeE6afWvidn+4yb19PnHbVfcTyKdBWnzz1l3aZrv0gzv7hI8nrmno/armtfJcV6ytZx1q+yHl3zCNN12xjhvtN5F5/9QC8fl43X07zGc8h1A2ezos3Z+qbGNosyvdzg1WgZAYbPOoO2TiH+AsY855+XZXstazZR53/IWb5T4dv2jhZKDQ4OphPp1FNPVZ7D9z179pB59u/fL374wx+K//N//k/qR+ruu+8Wr3jFK8TCwoJ429veRuY555xzxNvf/nbj+YkTJ8Ts7KxYzZNgbGwsncwgzLNheHhCzM3NO8scHhkVAwPqgebqA2PiYTv6xOTkVF7GBHxeXE6/j4yMiIG6WfbkpFrn+MSEmO/pUp4NnDghpqam1HRjY0obFubnxNxiIk6cGBTL05l23MW3Hk7/XnX7evG40/vFyMiYUsbExKQYGBgw2gTvo/fD5OSk+PgP7hRX31s4rpOYnq4Z5YyOqe/VvbyYp5mZmRFzDQn6NIgZEiHmGDMSs7+yfpgYh/fvErOzUFahkXVicEjUFyfF8PBkmm5melpp2/jYuHOMh4ZH0g1aphsZzfpttracljXVaAP4bZuG+tGN02xPktcHfQbpJrWxU95nbFRMTmR9BWMv041PZmMzNMq3d2Jc/e3E4AkxMjbXeO+iHWm7Zop+GjgxKHrm62JmZlbMNUwvZ2pL6fvMg2C6IWCQc25ywmzDdG0pH8MRSxuN950q+hVjYOCEtZ8A3eu6xNzCshgcGhYTjb5N29K1nL9Hus76F8XE1HT+DNJvTIpwtMPD8Nu8ALIGfTQyMsPWOz02nP8+NT2V9+nU/JKRZ7Y7mx9pHSN0n0xN1bz76ujACdG72Ef314kB0beuWwyjvp+ZycZ8eHqBzDM0PCwGegpanq3DBaVMeEcq78RU8e7TaP2m+QYGDKHU4PAsmstFXjnnRoaH0gsXWPtyffmgJ1kUc/PLCm0cm8jmwsQY0OVFg6ZOEPOXCc2A3ulEqiGp0+HFqXX5ngL74lxDU21yupjXeG7K/knfu0HjRkahnSZzMiHpwPi4GBjoFjMz2TzNf2/QBLxOlhcz2juE9q6llMFMxHxPoowv7BlTU9m4jI4C/ayJgaFRep422gL0dmzdopFGbxvGWNr+AeN32A8Hh7rZfLNdxfqZmSjecXqq2KfkfooB7yt/z/aDJavZDvQN0MD5PpP1m0JjB2Vmc13dn21zdWR4OJ0X80uJGBoaEtMETRseHhEDvcW4AID2ZjSJpw867VgnChqMMde1LGa6sjEbG2/sgzPTYnw8m89j4xNiQqMRsD9LOg+/U3wBYGxGnQsnBgfF6Jg6308MDaX0dmZ2ViwsLGZaDrUaySdIzKK9SK4f2XczeF401lHat9PZHBwGmj+wlM47Fx0BOob5M/Y9x9VxHhzK+Iq0f9FzoEew18Iz4BuO9RX9mq2xgjeQPIkOuf9LwL6L149czxJAP+bX0+voT35hl/jqTRmNOK6twdGx8aIfgXYRc0eO3eD4vLMvJY+Slc3T8MnGfAJfe/meQKwj4EdH+9T1jceI21PzehANdmGi0V6YWyMj2dpL+Z1ZGL8FhWeAcZTzMW9Lg4eQODY3Lz502R7xrIdtFU9/8Ba2HXLfBkylPMp8evheWCzWicRsbcmYn7NIcQDWHj4XAA2BdWDDuDavlbLXFfsFzBU9Hcy7+jJP9/M6Gvtxng/NjZQ/G1gSg+AHiShnvntZLMwvpfRTAt4R3jXnc6aTNI3UJD82cCL/bXDwhJhq9O9f/9JOcdXdo+LWo5lm43GUrrbUpWii4zUGdcn5OTmVvQvQRwDwnwBM1/UxmiZ4KOi7iYmMN9eBaYuEnHN6+fg58HPy84nhkfSzNH2UNHN4WG3L0eMDShmA2RkhlhYW0/6Avlzsz86PNviss+kExhEuohKD/gyOZHwI7FWS7usYHh4S6xbWlzrLdyqAx1v1QqkygMEDf1L//d//nWpGPeUpTxFHjhwR73vf+1ihFGhigd8qCWCMzzrrrFTLavPmzWI19wUcmOA9XBN562S3qNdHnGVu2bJV7Nq1M/9+/YFhcfG+cSH2jYsnP3CbqDeET30bNoiuxWVRn0nEtlO2iV27TJ9eWw/Pi3q9ODD3928UG+o9yrPt23eIvg3joj5ZEFHwD7Zr1478e2/9iBDdS2L79u1i1+be9Fm9fij9u27DpjTtltGaqNcLoVL/xo20TzJoc/0+5dnGjRvFtfuHRL1u+vTo7e0zyqn3jYp6vSA29XU9eZp671FRT7LNr7c3I4CLNZVJ57BhwwZRn1oWW7ZsScvr33BC1BcKvyvbTjlF7NrRL7ZOQR8Oi/7+fqVtW8e6RL2uRoTSAX0LxF3OhQ0bN4l6fVJs2LA+LWvTpsl0jLdu2SLWrZ8Ejr5oX19vXt+mTTOiXp9N50G9TjMLO3ZsF5tGk3S8+/r7i7nTtyEtp6c+ovQjxrZtW5XxPHXnTjHfA3WeEL2oHYB674CoL2QMz5ZtWR/19h4Ts8l8Pg7w3uvrEzlflLZ7cjl9T3h/jPX1dcUYboB2F2Ngw/p6r6gTfpJgffb3Q7/y86C/d51Yml0QW7dtExv65/N+gTlZX87eY9s2WGeniJ71R0V9OVvvp8Cc2LUxL2dwcVzU64Oif0PWxxMC6s0cvOt4wOmnicElmMtD+ZgAJmYXRB3WHEK9N5sfgC3j9DxL5++M323ups3wLptFb/0+4zZp+46dYmO9R2zon81pBQTBgPprE3OiXj9qlAf9tmvXlvx7L5oTgB07doo+WLfTZvvqaI2vW3+/qCfFnNyxc5fqEB72j7RPMwZkPcpbrx9Lx2rnjh2it34ivT3cuGmzMb84rFvXLeq1Yi2NLPWK0Xmga+vFabu2p++36dCcQj+z+evHDBTvtLNBB+9X6PDOTfV8T1lfn8odmdR7e4W8c9jYv1HU68XhAd4dylmsLaL9o6DdEhs3TaX5tua0bVgZC0nLNmwYy9cJ+OaCZ5vT+TaSawN1i0Rs2NAr6ovFuMD63rQA4zInNm/ZnOZbfwDmT2GOJHHKNuiz8ZQGbNy0QelPwOZNG0V9mF6rGzduarxztv9IbOjvF5u3AM0aJvP1ovWTzZ+h9POmTVl5UgO3Xs8uWyRkH2RlFDSNAqTtXl4WO3bsEKf0m3tZ/8aJvG+hzN7eQVGfRWOwEcaWL3/rtlPE+vqIqC0ti507d4hNm+aM9Nk63KY82zIEe8C42Ni/QalP7Z8+5bcNfevEgjDHoK+vLvr716e0G+YMjDfQui2bYZ1NiU2bNooZAe0q1nDv+p58ncA4UXxB2n9T89qa2C42TXQpc+gU2F92wZ55RKxbWBbr19fTPaWvz+QTJOq9GV0A9Kf7yUI2x+rzCl2V6yjdNzfOiPrYotjS4IU2HV4g5zLGhrTspZwWc+3ZmO7dxZ6W7iHb+9MDEZ7Xfb3rxMb+PlEfX0rX186d23LeaevWLQqfuGU640l0bNuq0ifZLlmPXM8SmzZvSWk/tb+ctnN7+hz2KthTMR+H+b31QMOFyVdsa4zd/LrplFbb0Iv2w62N+Ush64ddqQap3DM3pDRSveyGebd162blvfAYbWX2VAlMg13YueOUlL7AvgHtg3I3bdwoJpdmU5qZ8RGb0rSbhmHejYmNG4t1MbSU8RA6dg8tit9+ynZy/5V7bH/DaU9K36dA+yNTuZPrBPNYeH7qcw/W3oYN0/l83pzuG+a+gtG/EdLTSgb9G/pyXjqjcypPB/vW1i29LK8kkfG7BV3alO7v2boE+g9tXFw/Q86v/g29Yqm2IGrIrBzKg71XpgfedqG2IJKGa4ttp2zPadKpQLMbQinouqc96kHilV++Kd03sjKycelb1yMSEJgjLfzuhjYU9OvGAZirsw0aNJeeXwBLXVmejK5mn2Gd4Uu5PhhXdFYDAI/TvwjvPE/uGcCPY2waWM7XE54Dci6m47F1W05P+jdCH49n1gQwTxo08/65jHfF82/LiFDW6oYNfWJeLIhkfjFry9Y+4YK+t1PoSl1fLOc+qjD9mewCXmcg3auml+krwu1wlkVtCTnLdyqAR1/1QilgnkCwdPz4ceU5fD/tNDpEMkTcA19S2FTv0Y9+tDh27Fh6O71+vcmMQYQ++KcDBn+1TgCJ1IGhx3skqX+Amnd5EtMLS3k+CLFdlCEdPNZET1c3WX93V5daZ6MN+FmNeAb5cHnguyL9vVY8l+lnFpbTZ7IcVBnZploXqK0STnKZvgFSrpcDlxA4PbhokmmA9uPfbGVTdaVMWuP9U8eIWv+l9TTKhN9x28CM0VVXLQ8tL31sNOps9G3e3lqX8S41VJ8cE9lmCt1AuPM5ULwLbGnwHG6MuLxFvsb3tKyijLsGJsUP7jwuXvK0B2k+OIo24rmaOcwvnsk5B23U24DfWx9rG7i+qKVhU+zzAHzsZP2p9pVSZmP84dYrfw9tveZrTNIFZk7IuSPXKC6npq/bRo/l9bBz2n+uLyxnN0KZLy29v7K6QE27ePfGGmPq7kK0QaZX5y4/BqkfhzyMtpZP719EswDQRvx7vn5T3xFmO0LmzzduPJLS3LN3bBSPPn2LMl75e5NjZYcMHsGtbfJ3aj5K2ojSUvSyKKHYq/BazPKptA0AQj1qzCXtU9uR9bukNZBvdhHvVwV6ursbNC6bN3oaEO7w+0FWtv57akptoYV4HvWt78nT4b0OXF0ZtAj3p2MuyT6l5qxso8xPjYFr/Wb+UBp7fnc3ubfR6yXrL2M/095T3TfpMZC+wyStTP+DsZd0DszQiTVc7I1038h0aj6CZjToTHbGU/cUn3Jlm/W5ivsg7Vv9dw8+AvchtD3kPQ162zjM5u1IXxSNiVa+HGMd+v4q5wdFW/JvzLuu68nWbaZ0o5aBaTjLk+Rz000z1XXHp5frtwvxlXKMlfLSRsm9tgg2UdBcD97Nk86va9C3zIBI0t3sH8VH53tWzttxaw/WGt9O+M3gEVKTPXWdSOD5A+ZQxtpD88DrjGOhX5j2UOlSwYvPGtNoC6YP+CxG8ih4DHBu3LaGb3qqrVQfyPdS3onYW2sETZM0CM4veG9QeIx0rpjnNa3z2L4j9yKUVvIaRU8WvK78DMYasr3LqWkkwwumZWn8Ua0m1vV0ido87As87Q9dZ6AhhdMBp6HwT42Ir298waPF+TceEc977GlpcBf9bFTmLN+p8G13R78dCJBA0+nyyy9XJIbwHfxGUXjGM56Rmuxh+8W77rorFVZRAqmIDL7+CXWthS19hbrj3QPFjb8e/YSC6ajbHsWPc7RnC+c83XC8q//C2fKG+mmkygH7YS0RW1fIcdFwLK77smk0nnN66eWgUIu8JR0R6vSEC5ee14XK49MUZBs7l5TdZ/QjguHQubFtZm0T4n0X7xU3HRoVn/npATpiF9+sdCOXv1MO3nFeUNH1hR4uuijP7Q9COl/WHcpSEWlwvxnzPlHXDOdcWN5oyhFyOcml5gxgfU+X+N1feED+nr6Q6uVU62Tx2KwjcUXfM3z8uNNQzku5aFtU+/Q2qo46G88CXAToaSEkMuD3n/yAfH5QUSlDkR1WiIe4LYzzd7I8whm/C5zTVtV5Kb/PwIEZI4sUJttud6afM9lEdLW0bEun8vOvnKNzV9jokP2qOMj4oYzfV5klpcaBc88evEJtDJdUHuq5cPaUM2LsBN/q6Fz/zswPMq0oF31P8f2C2lvjgpvYyvaMImo63JbP9X4r+lpvq1km/Zu+Tl3Igg9kZelZZVmpTxmtPrz1cq3MXSb5jJZCh/j0klTgOUilT2muNl99oyXitvtARhzDTq3xWCr+xAIcnUtBGgfVEb5jz9C+m/uuez+31W/bb7j9zMeZvOGYn+AduHJSIS/RuapD94SPAlmzOLVHhZh1qHxUwfsW+yAH36iHXDKaf6J5TY7nkPxufkZp/KTXiec7hg/tbxZUEAio9mG7Nol/ft6jxANP2VBKwHwyoqOFUgAwq/vkJz8pPve5z4ndu3eLv/u7v0vtbGU0vpe+9KWKI3T4HaLvvfrVr06FURCp793vfnfq+DyCh+961Dc/LhIZdQDToUfnoRyjZocOO0NaHDbMlwD/N1lB6nOWSAbSJWr/0iOyqZu8ljiA9uQCokYH6IejvNqc6Gm3PR6VZcyRuenltxWYCdXeRWmORVCI08tyqYO/bSiozZtiqoam5snNTD0oJ6ZQKv+9Zo+uxgiaKHCbnouZw2Gc9YhgVDQ+JSodI0yQfcXNiA3oYGyUQ7RVd1YLePKDton/esmTxdnb+4PXlowIR9EOOTa0UIouj+sH/J1rn72/LS/BCAjxbWgIueHCYOO1oHeXS6jhOx9tAgpX6HLlkWN8iqiQWh1y3RJ1k5FtiOh7NW2uctE95eE2KSM8YSYEtFGPEqS0D32WJhhGGrJatM+6NCkkffScdJQzZmceRF9cB6yiHtk+m7BP/c7JBRWtWMyD4Pq1smrM4c0FimZwQiJv/kpb06oQttG3iHeSv/uUrxz2PNPheqkxwJcWVoEE81znYVyvgYdPn1/yUEoKfTwEIoXQwNEIQ9jAp6PmNBkdkBAa+EZL5MrkkAs8tbVAzbkiGqSqvVOmHQoL4WguJxjF7bIJayjYLk8ayjzW8fER/OlVqG00nxna6VrXUtGT8SMISpS/A6V9hQS1PsCOzYu7Gb53bVF5izbzJVBrURXG0p8pHlyPuqo3hooCmGof5ftiCDcWBrX/VR5c/wwowbadNOho8z3AH//xH6cOx9/61remJnhPetKTxMUXX5w7Pz906JCiFga+oC655BLx2te+VjzhCU8QD3jAA1IBFUTfiyi/qeUqxd7lqQwqBYoAU5uRoSGkq/kSm6kERFjKyvEnys0CTI+UMi1ENkQiTkUMwdCFOeYB1bMeQdxC5IdFP+a9uMn1SMQc/G1VUETc5/XysoVFuJYKpRqfLUIRSgDpU7dRnkfeHuV2k2FWIcKIPvd0Ia/lBpfUlCI1xeySB/k7lJ2qj5fYYHOhVDqq9HrC74oj3FAweCePTpc0j9Li818/5lhhLRKuvRS4pMqBQdceKKEqZWMiizS4XeY46OVRacscqnQayB2G9XktTVSyPNmzGSbABD7cUn1u15Ti2u0vmOjtKfgZ8AciQdUawkdTQnsbQnn0BM9xVtONnx+2qarn48YAHy7lWs0uP/jbcqwlYluPlJYkdWiUv6lpk0ChlCyPoB+MVou7bNxO/3zFEU/nP/CBzlU3nSA4vDxSnYf6IY6VLAdrGOnV4b2CEy4UFxvuvlGnCZ++2Ge5vEXdslqY2yAvD9EwDdHyAFcAWTsKOp+ZvMr2caIAh6ZUI1okB44PpsCtK70+2+9mmfxv6fun5sf0O6R8ACHQMPYjrRIlj6ON6Xoi6Jo+GrhIfNFBjQsl4NSrUAXfxWeOhuPHfprjfhd+RRvwuGanJFs7Fxp9kJ8D6aqcmlJlNIN9ofCq+Uee+NXE2kXHC6UAr3rVq9J/FK688krjGZj2XXvttW1o2VoSSmUE2EWEJbLQ6Y28zBLTDw7kxkMeOPTG8WmlppRxo8mq6NoPqGb7zIe62Rl12yk/hzBl+a1VF2f+mCUoBCq6toCHphRnvqdpSulh5NPfFJv/orxw873Ge1iZPf3QWbyfsrF6CLwSQlNCPqOENpipDRFKUX2Wt8Gx/jAjqWqmqIyrzpwaQt5cUKyOJ6cpRWsqEc+I/mnmtkeaVqVzfYmuixL4cN1oaC7ovy+baaDPQTgmI6iQ9I9hYG3mexkDzOcPnSNW04oSY6DfoLvaiddu6A24jmJeqg2/+b5R8eN9ppNZWM+UsNcw78WaUo1GzCKBD6UpxQoBS5rv2dY/fl1piomFs1mailhVzykXyqMrmklIC9YXNg00fYxtZVOHa9W/kFYWEnJZyTlBSw060nhi8BtJ6B5vHrAKoRQ6SC2HCFL81imn7WFe3qjCPmsbmJ9Chea4Him8yVCYPlHm8NyeqZed5vcYK+6ArKPgm2remlJFn+I6XIRVlNKUwns1xT/JNuD2cyM2Nr0g3vatOyppo56U0mzGiULnf5mLVD0/kGl9C7EJaVzzC8qjzkS2/RXTRWpc5Fbiryllnh/gOy7bNpfpSwdLfYm/Rid3ubXQ2CMb97Ysvcp4PPWZOu9Ddzx/UO+k8G1rWgzVQqEUjmDnwvvf//4qq45oEq71CPvYcgBzhX19+GtK0ZsRdUNhuw3AxGVG+pTyZgrphJt614nxGTPaD5VcN+mi/ELIzyGkKDe9yh0b0kI9WV8ZlVD9tkseyPWs1DygiKzV7xSjMu2jRm97FdtQS6FN4mDacgECYeCMxzPEpxRWtfa5wdHblKW1aKkgJpNDzmQ66utfr24NrltbimHIteuIW38XpIYItVnL8vEtYeIykTTaq/9ujkG9JxNKyTH2p33FZ6qNmBGq4nYOkwFOizQEKWNKPOPH214enpMuHzyytVSzP/vTe8WjTt+ktYMuUz/sUkLrmfnl3O8ZFv5gukqVbTtHp+aERIdAMb4HAwxFKMWkyS433OMcKiTyvcjJf0cZsBaNUiZVT57Hvy182sIxLjZvxQd9yoTe5peSbZPFnLfsAcdmvqcItbVnXu3FQg7LjmO2Xe7HJh+W97Xr8Mk897mYxMD7H16nqjacOcY+pouc2Y89rcPNQH6B6LjUSXlftz8xn/a4gF0BYLpLm4ya7S8rG6d8VVkS238usbxs9AvPH4pOwxP9MYyTzuvr7GCICSZFMxMHf44vOqi9njJLtu0DWFMMa0EmqUN6E+Y6o9O4TGaVZ8sczRK0Tynt4pxz/0HxhqoPQtEy4HmRn4vVhqjtqq1dIVWlQqmbbrpJ+X7jjTeKxcVF8chHPjL9Dj6eICoeOC+P6Cy4jsXZgjePK9xC9lEn1hceZ75HSbfVthX59TblPqU0+Pqekeivd5NCKYqo6oIKdZNXqWwZTSlJwDjzPU7w4HMpqV1AiaXGDqGPlXyOQRVvdwKKD3+47MamYplCukAOM+o4H1Th9CmlVZRHRmOFIqKc+V7Jg0p2M96oGzQQGUaHUp8352eijCen9bGh3tCU8vR9hH+n/FCEorihJeoq4+jcoCvmYVLPCw6nwZn43MJS2ucks0odMIQp1M3SNvqe0eaoAhxtDAHlPNymaaYIlEmG3n24cl1g6OnwmqJouTGvCcGD1JSCcVaEUihdEuicOfXpRs4ThyYJA7yXuPrG+bsIZb7D2ovLxXNcTcOvoRCfUmyErxrfHr0+Kp+vT5ysHJMmFHTITMuWaxECkDfsiuCCro+ux/+ATLWPEgzm/a3xDT4apaXM99CalJoRuD1U3ab5jP2AHbCl523iQPIPxGBh3pfU1HSMl69ry5SXQJpS2MUGtQaweR9+qzKg5jmbVrj5GHW+uet3+f6SrgLoSwVTS5rUotfnPaEpzc2XNPqecwO0aEoRWXOfrWhO26rAxasmwrXSZpYZz0rXR+4Hymez//R68otzh/le1lcJz1tXzIthUGvKpuFeW7syqWqFUldccYWiCbVp06bUQfm2bdvSZyMjI6mD8l/91V+tstqICuDSsODMsThhFqx/ua44QmvekhGbNWkmRpeTEOUUPqX8QLXBfrNgPvN1fg19V8anFNevsqvyG+KuEuZ7+f8yyAOWZIKpTY4qv9jQ7KBuqH1uLEnzHGUTLe9TClnPWB1tAxYgHq0nWH9HDn8zmTPGRr9rh1t9I3UJvnRhDzcj+huaUtS6d5msGSaCJZx62w9xCeFEPHHkS0K+pqj3dOdz5h+/cas4e0fmsF3NZ+8LKUTMzJ9pDYNmoa675rmZjHWzM5vcfOD8pRSfmTWgMWrcWyTkYS7xis6J5zLkAWGjNFUF0xPaETBVNt/HnDmhcJjvcfAx34MmVs3EkoLJAPqGD7++CHEgbyta31MUH0yEv7Q0nLiHphS51zM+/EJ8Pam+cSghgPob/ilEIwvvDbZc3LjrebKLoKLfQvuOEvA6+w0JUlRNqYKmktH30GUU1xZZrs/Y+WrA5PSMuYBDr2VogNmCsdja49bGMYXuanRSk57bDtC+SJo4j9j2n2qEh7TZZF4foUFFrVHTp6f5mWsFrAUzora51+L8rktRub58L0+xH0XKnNNMr30n3s5mCUAKsbhL14TuZ/luulBa57dTlzJafamA3+M9y2JTb096sUmZYCruTqqvetWiZdH3zj33XHHOOefkAikAfH7Xu96V/hbRWXBtaqwTuYQ3VXILJHgVZuWZ1jZOqkxFiZnOfUqpZfhqVBTp6ecJeVO+zPsz0PYGyjyMA2ay8V9cd/aXzu9D+PQbfUn8a/ptu+OA5aMJojj/JHxK2QSl1AGNE/BRm5mNmcfR9yifF8otTUgs5pKOpaFvsGo9t1GnatKezJxuWqdjo+boHNr3k32D4kOX71MOymR7mTpCTWOyMoj+J7SQ5ENfDUgqmZ4XzPckRqbmxY0HR5zlUih8UiEBap6/eU6IW9dZPaag2AWbY1LyBtNhnoefuMZHtpdrq148rA1SU0orIIsUVrQHM6jSXxt1UE6CfUrRguH00F5CKCV9q9ngW2ohCPXLEXoQxK+HNVfVQviH2jBoZes8AD0G+KnMIUXj+XP9YIIEaLYhovwUUf4j6cs1vlxcrKxfEYxq7cZCbZnez6cO/mzZbxjtB/257uhcaaujzLwMl70SUQ6niWtzdO5DZ4tLPVGZ+R7mH2z7IKYNhVZ08buTHgcJpWQ71HIpHl+/YEo/e9VUvo1ZG3jhjvzuE0DDu35svsdculHmezr0vJSD68SqKeXuB4qfzS5lzfbINioat54jiNeXS5BrS0etR1t6TqOTu4yVQimKZmJAOv0n3G/6HLpy74D4wGV3KcFGQrGxt4eNLq6axGoKBGLtomWOzsfHx9OoeTrg2cTERKuqjSgJF0nnfC5w+WARdiVZHo6H1xkSyhcAdVw3w33zDFp6a4acrrvApfO1iaak8VypoedRlz+gwpY6sTJtLuB25fbauaaUxT6bKN7uF6pGlif3zyBH5+g2HGeDOvDYcf4CDKEUU48Ol4DGF6654DIpyspIWE2pa/cPicnZxfTmRjn8E7Pp9K294pkP36H8DsV+5qcH0s9bN6wz8lAMQzPme8LDfE+Nvme2gygOlaEfMM184GsI6rfeFFLPtIfAEEJZuF8k6fPxM0RF+dF/l1BJqh75EL54EB3Ct596OOb7jtaio5lMEo4pQwkGaL9PJn3g1pD0seITWt4lPIGSKd9xUJTV0Tnz4rpQipqPOEKRDYUg1JmUviByzB2jvywCZb2uLLld2IfB0RbFHIMwbeGERoXj8CRISKePKSfQtfpwEnxgEUoDlDI58WEldNcBvuCct8u2yHaUKT/UvDjrnsQQHsOaxdpu+hjLfdFGbl3mVb70kI+MSgcLkm+UWPwAOQXCnmxI5pwea2JJoUYhtScjPqIyymrj4leg+uDPnv4gsfvohPj5vcPm5YND+OEnSOR/U7T+WI129Tl9Ycm3s9DE49pA+1gzowxS/Cw9JrI8VeOWaYC2n+YCZz2NYpKo/kYK5C2XrqSAViEj9BrAaSQN1jW79JK5/ZezAvrCNQfTv1fsOSGe97jTRBnIKNakxY9lIGpr2H6vZZpSv/d7v5ea6n3zm98Uhw8fTv+df/754i//8i/F7//+77eq2ggEuQH63FC4D8V0Om4DzxahJBZcmTUvAmXckjJtu/j2Y+Ir1x8y2jid+oRRn4U43svSZ3+fevYp2g/qV9qfCF1+9rFWQlOKKBgL5ZjoZz50DopQHCk2JER6XuowjQ9WlNNMIz2iPurtz7Izr9UpLq5Db7dkPDETlxDR9whmjEKITykOGeNhBxZihN5yw1z/5FX707VxfGJO6Re9H3/9kTvFu178eNG7rlstB32eYfy0uR2dW7ORZdQsvylOxKlxxe3X1z+ZRqMztVpuwhcCnQGTZmKYfQxxdO46uLFCf6Qd5FOOROIptKN+cwnZOOZUN01mb3OJ/cdPKKVq1OIsZiTPQmOAYibtZmbqvMTNtgk8uCJNoXd5ZrXQenQDa6R4H4y1PvVtaeLRr6aWDl+erpGiOwbXXwN+K+NXBNJS5jr4yWmbe7PnlmIp/4Y6zdTnq7G/erTbJ+BA9pvePrOd8lCOtWs4PsfWvNCLC+xDDmuZ6+a5Onw0ynIBXxIqYOHTKWZvWluUupGvSMq029WkEPM93CZ80Yk1zYp6izXULFwyy81968SfPPUs8nfq3BHCT8g8Ntg1uk16SNEgnR5QGnVcM4Dv3Na/nmg3bgV9acyfscIuT6l9MeMh1TYUbTPpn1Gm5Z2px6z5HmHmjKPvGYJ6rXA4V+jPdHNWCjMLmQuYMshdQDgEzPrw1cTaRcuEUh//+MfF85//fPGSl7xEPOhBD0r/wefnPe954qMf/Wirqo1A+OrP7hOv//Y94sKb73empfwVYFAhim2ARVgsPk6Kr7UhawjZLjUfrQF0y32j4gd3HheHhqeV30FDxJcx54inJFgPOmUD+dxXSGEwxAHUpxCU0JnkoQcffjG8GAtNQKJHtsDMvQ66eBcjUDM281yN3pbPYpZkHqjdEfD0uV74uLH3ma//MBu4TfsJZ25V2pSmtalCEwdfeA+sbTHbECjl72XshuZhXofNpE62sVmfUkX9fF247xOnUDkJZnJrmgkfdUPq8q+FVecpp7I+FwaudUsJg5WX8CxHgppjtgOSIlAm6Dd3w8mVkTabaSrlSJbqQsLPuXKTihlcrLGLNS45rUQ8/vptObSHc4hv8/emv+9zH5vdzP7RL55pTZeWjd7RhuIuoxzNcuVbNrR5KE2C5i8a0rRM4kw4YR6ubWHM4Scc3ZQDJWgxfEppl4D/52kPJNuv5FHqEKQpitK31AHMUj7V/pApULRBfa5HlLMJajhhdKiwA9MTJa9igmkKEHLeyPLelADQ1o78s6X3KdrMmTjLp5R/s5C1ZwMWJOpCDUrDsNjLmwueYdN6UWm0/N19DrAJRyjY6G/mtL/BizJ7ul4Hab5nYf9dvlJh/r7oCadr9dr7IR8/ps7cfA/xgFZtUPjPOAvyvJNeFqcpzZ+3EqcQjqwXfTbM99C76H1FtcR1IVFyu0wh+UflnYg1VUaB4GRFS8z3lpaWxM9//nPxb//2b+J973ufuOeee9LnD33oQ0V/v+ksNqI1CAlznFjCnOKybAd+zozNV1OKIl7pQdtxYNGLn21oJuRtSRtSCBl8nF3q0JlF3D4Mxc+NVi52dpyVCY7ORXlNKUPTTH0HSlvAB8ohMxdKyTJqfsKYnMERntH3EkLVnq7DfI+atyYAVbY+64ApnM8ZX9FycD6lHn36JvHLDzklvT27fPeA1bFzVhB9y401m3QNJFNLxK0hSR0IKf8OrYq+JxmhoOh7ju+pMJagM/V1XULMqM+BBtg0gvRf5hZUzT98QPZheFKNAItyGtfNoYyONA1rxgTP9T6uw1XonGHN94wgD5j51G+E1c8uXxr4955udS7YfEqFODr/w188Uzzv8aeJzb2mqWyzTDO/99n71VWNLjihBWj0gY875BVp1HxcSlwn3rtygRyTLw8kEWK+B6aa2gaXrR+zXN81o9NOSuiU/qSbqvgIUpjPOsxxb7RBe46di+u+KOXni247Km49PCaecOYWox5OcGl9ByRQxma3qqCO1/T00ZTy8s/l6e+JmtKJg1/OBaTLiTg0NJ3R5YpoAPA2lC/PrP9MwSzlMiIkOI/aSPzRbDD2labDEDKWkBTYshTGe3Q6eKTTdYpeUe489Pq5dkD/P/zUTeK5jztNXHL7Ma+9V44fG0yK8CllE86l60vjU4w6Fd7ZjbQPHOcqtQ34fdW9lWrDgm7yzNQFZxbjJ6BBjkvTEFeQkocyhFKKqwm55jD90vnwmliraIlQqru7WzznOc8Ru3fvFmeffbZ4whOe0IpqIlwgDpQc5CLnhFIcwbaZwRWLj2me9oPrMFS0RT9w2BcwdoYLNHrZETWQfk4Tf715uuNTnC7LqjHXAbTHYBCYWxTuQO9D6HShh6EpZblVUBz3ofI4pLy19m6KNhObVVVBz5V+iE205mFelG3ECe1Tqg1SqcTyrk97yPb07xV7pFDKom2SqpibB8kZJKSVzImu+SbBHxKKcl1dgtdaWkcAHQqBIpTS6tbholvwjYrKtZ5wIATzQzIfumN5qmzQVDN9wvhfGIQwKOoaVG/FXQdA+F0yrOYBnP6swzBnMvqdzqfTLN/DCTbnwTDfFZn3pLfBdFpVUE6/qyKU6uoSc+mOIvMkrMA+REMJ3t9HIJWW6zCTl2jWBMctcFTromqjD3yy/Xz7zAAhdFosDNPXnKzfuORC6yTksAtJ9bHW6Uhxe285CFpoJ65LAtqaR4xiBEat0JQyznPY0blWpvx4/g2H07/HxjTJflaCtY0UsEarHnXU5ncx91NpKd7HxI8OVc+nUyIENi4XXAEP5HvMLiyLt3/njvTzHzxF1ZgsC9xPCl+b7mnmXK3EPyS1hySutVtc5Gbfab6taKe7fpf5tKzbh0ekIkdSeSlBCtcKOVX+6BfPEo87Y4s499K9hjmwPrNdlhmyTJzOJXjPeV/0er4+oUjTVIt7CjoohMnX6WltLkbyn/SzGeFbOPU5W7PT0JB9G/NQAPAlygknbZpSYu3KpFpnvve4xz1O7N+/v1XFR3jARzAgIZOwEndiw8q++2hK2cuUoATq1GagF2cIirR6VCGF/eaS93nCmGtoBUmpvVmu2ZYk8MCZ18VkKaqmmXwfvgJvSgrB19K5fMf4hLzHjIDqPNFv887L0f7aUNyGFs/gI97bU/M9e1dXCr3PJfD4yXmXrivLHDWFAokilJJaO67DP2pFXrbeFr1ujpEtkvtv7jZmWNaFtRQKgSy3/ux0C98QSkC7JVOhPq/ZNT+076A6zx3YfZhpp7BBGQ98UNMd1DrKUQ51+jzCX/gybD418HcYr9uPjInx2QWyHN91l144kH6fzO9KdC5FyKr2mRpRzF42aEq5/AxlZfHCqmbhuoEve0llCibtGfF7c1owthJswm6XX0n1t2Kc03IbQuSsfsJMVzHfCxRKEUJYda3LH7I/0/OL4ru33i8GxmdRHnNx6VorlMlh+jwPCuIGtcfS7+V3AMUaaPplll4EhEWnTab0uq2voBxwlch2ysWpOcYFT8FXEGYKWe6SANdj1p09l/cgWJBQVUAV/Y4FR1cu+g8lkJ9tB2hPUEJLDH2/UvISZfmHL3KPGX5/OhgO7DN6e9V9I6uD3/9cdJqK1GjMY60NuTYoc5KXgjPQuKPapAPTR05jmNNeotor0/PnLRNKUGWPz9I6RW0vJZg215B6QejfRg76nicvNRWfUrJuSzm1KJSqHu9617vE61//evHd735XHD16NI3Gh/9FtB5UiFcO1EZPRyRiMmqA/dSTRy6KItWuzTpNoZRejrkx6EIlrm38Tb4k/nYBGK8pZZpdwdcQRZzCGXDNS+Cip/K97VJuIXKfA1lem909JeCwa0oV6dXoe24H/dSrcOZ79I2ammoRJcrMAtT3biWwHT+GKlAobgxt2kBUl2HzPWnaWrMc3pU2EMwR6eeJYFqa6Trbxi3nFDaVlZ9spo1qe93CJGg/5eh8XTdE5eNfTi96fmlJTM5nhzLI1tuI6offBehSaipYyqeU2mbqc/bdXg6m8eYcw33tf6Dl1uLV9wyl4ZbfeuHtSpmud6WEXhSNofYxvIZ0IWGRhvelQZW9TjsNpEIpZm6VMTkxyrEU0Xzpel2hhz4slKJPmK5IZdzwm/6M6IS6T7D8uSJcNwU8RSAJEWi+p+/p6tzSw41/8dqD4oIbj4h3fm83KoePvkeNKhZqF3RPVCZIoS4Gqaak/caEYff1lWcIpZxtK/ZKvA5ToXNu9mbWL/vV1gd5dLSAS9ysTBufQgkuzHSYR6XmdhUBVSifUsVFJ60tWK2mlL1fsT+4rG67PzdOUMLBSn81U1Sf/Or8owWOlO+xEGGazhsa5oGOM4FcEzffNxqgKUUIeZQ2FTAvhMyyqUsuPr/W/8pH9YzA+ZTK3yOhzPc02o/NfiuQSul8h7zUVP20Nc8fn8xoifke4AUveEH693d+53c0HxqZSib4nYpoLSx8jYF8o3doNRmScVZrozgseEd9IqTbtANitUDX4lZMCR23xcsun1IOLopjHiCZWXQg098omuvPQgsh+6431RbKnGunvN03tNoIAq4cjmV5dj6AvT2kD8bC6iurOHiohyMqaofeLrzJQfkFgyhaD49pwPnD0YtZ8jTf0/uMFWQ0/uLxoWgE5cS0GCf64GKFZePO5qimIdP4WJavIOlMGn3PXDQgPKrN2upTH4J22tDkfB5hqAeEWlr4aTDTPGNLr/hGw9wlLPqeqjHAMfm+5dC3nfRnHaajc62cxt+bDo0oGhSuiwebuQA1BroATjnIa5qJqk+p4s6ce098MWFqSvHmH3afUr6EJmzPUGuQFzJ+ZZh7sT29boKpCvsyX45kPQlv/lCkCYi+R7UXpaeaUQhXLAc2QntQRlqE/NJNAGW+J7Hn6ET6d3oOaQ4ph281n2wO50ReD25ig6/jbI7HowSDmMUkyLEV1Bp3CW6xBj4X8IY038sv7BInf+UjvFNqsKTX1wDXBqwBRpmmcr5KQ4FNLgGSXVUO58Sr4RaVdWngs4eozvMhEX3T6GuxodbPp0qpvhRMk/THnBd6wAuYmzbzdfmZawYlwNShz51c+5ZJT5sY0mn1duKsnGBMfxfKhyx3WZqVZT5TTN0IvlJvg+wD3F5KEEbtv36aUv5rT18bZPQ9j/HuWsMSq5YJpa644opWFR3RCkfncqPnNKWYWwSbI+tCNdhvgdE+pUyi4FrANmba5QzPJazS1WRNG2++3ITohhBNHNc45pueFMCVqEsXDBqOzvPnRGZUfCH8S4LN99LyLRE7dNMQ1/zCTZBaWOrvphPiZm4I5QHFF5mQxXyOq1bXMjfHCJ9SSaI4/s81pQqplJe/NixsJZ23EgervAqHIJh8l7wuszJ4R32d5QcnznzWh3ki+pUy36MEVba6bjk8JvYPTqWfd2ysq1pJClNsv+3koGpH4S/ab9ZSTPV3DN8Dp+vSQhec62UWYky6tfo6hfXs8m9n0BpNC5OLvpcdRBIrow9ac/r7UWZ6lFZNVXAddiRC1iElpHW3Qx4OauZBtpaZZVBFFky6O4iAz16m7/GqQJKaL7WSjs6L9Ou6a2KuYVqtCtnc/oooHz76gRBnwwfoEJ9SFI3G+PJ1h0h6RwnGsncrFpUerMPLVx66lKLaSL6DsjerbbFd3HCXUT60qRlTSMrPJif0t12ESeFns8gcnRcVyMNy2n+Niq++e1Bct39IvOJZD0PnAvM9QuESI9nue11mYj5jZo++V7OuDTzvqDxF5Ec1n6rtZW+rfqEk09qEedKskxsTV1Aa8zea9+LawAVF8PYpRfyCx4nqP70NkjflNLtwOprPtl/WqO9un2iSNstkuaYU0XZqvCNaKJT6tV/7tVYVHeEJ2yaoQy5IXlPKvyxDKFXzYyxJZoLwAWFqytgZGzWMsL3N3PtxmmSSVzg4NCWu2jcoHrqDji5JvUco08+ZEHIq6no6bmyNtuJbCHQTLPBtEmWfrfmzwW2hgNPr6SjhkV62/p07dLmYcXy4kN8lygiloJ+XQ1S0WZ9SqB3I54n94GT+No3M93ImRuuzolK6XOwrzWlixQj0Qm6c8qhAjACMu5HkGE9X3enaIugMJYDqXdedaXQQjuWzulT8/N7h/PP2/vWNT+qFATYhasp8T/tcCygHh0bW38F37PIgBTKfWRANilMjoAsduXDTuoYKdmatD7Xq6BxHaqMFM/oNuf4a1PpMNbpaJZTyNAsp3su3XO27I6NuNq4L1WG9uCr31cLgzfdo/y44CIb+HqkwzHFbnubVvyPhOAgnQSPSNreoMmSb9M/6gVAv0yeqn9l+vMepGUen58Xlu4+nnx9x2iayzXpVWBCk96ufrzzCfM/xQorGribxUcxztdbKNYkFp5zg3UvAx3zWoZsGc+XjNlNzuyqfUrofL2qfvXtgMv174U1HKj00qyZM7stGZV0QIi3KNM5av4v2WC6sKbcJ+D4ipx8Wn4q5YJRpq3q51MjjmF9SC56jh5NYI9MDadvkGmHTFKAsHEIuOMj03MWiQ+iNzzdUndS+7Iq6mJVFf+bXV0FbKPO9vAeJ8ZZYyyKqlgmlJKanp8WhQ4fE/HxmviARI/K1AQRzxqG4EeGYPVqabCvb5djVZEhoRlh/ZmpK6SWbzEbioUKd5UzspnOMo/N3fOfO9O+PGGqS3roTz0NkHpx2gd6WwveUClvIbVwmrkcXLEoSTvuUokxFXDelatvxu/A3Skz0Pa3NFLhylUhuiAEpo0Uro+yEgGTS0AgqAgNugyc02CAt1pSCSHC4bM4EomhDhgXEFNNmF7jORBVkinDo61X/Vb85ln3iy/zQ5qLqM6i6vs70KUVF5LPVhbG9oSlFCW3Zg7a1Np650Q99Tp9SOY23C3Zt76fTBc7xK3crLucl11RDU4rxPUcFeaDWkC4MzG46CwGFLPmXzj5FXH8gEy5urPfw5ntgwsF0kM18rx3a+j7aq+oFUVJKYEAJvG00Ee9Xvhcn3FZGXXSogkb7BUCIA3BsqglRGIvnCautThVPaR4o/lEI8z2dfvgIpzDJtB3YKD9ZWX71edavxfv5mgcW+U2hFN53ub4qxrWmCZ3p98Hl4jmhs6eyzTaNGtwO6rMOSlOVKp+aM60w35NR9mT/Ykfner1Tc4tiQ4PW6QLmZuE1X5X5pOcP7w+7Pzs3/2gIpVA/ZH5I7XW6eBTqcokSomNg3o7C/aNU1Ese+LzFnRdswmeqqUA3QixTMA+r+jfj69XPZtS5MYu+Z/J4LouiYA1Q9Lluib7HuV1oFz+w5oRSJ06cEC972cvE97//ffL36FOqwxydNxJx5y3uZs5WduEkWzRlvkdFfaHaZivX17kcd27gzLn05KF7ZZkbKN6nlNYGXeDgI5TS+js/vGntpMz3qNLtjs75w4Atyhyl9o8bgA9/kFZnlimBBMeIlBJKBWayOYLUy0yduDJpqLWSaI7OpVBKN8eU0L9TZi30kFKbbqPMMrf6lrTLZCj2xMFYhKPGCKBSTSkZ3pu5VeUgNaUKDQN0KHDQ3pDbeFmm8j6OaakK7M01kn+29Cbl88n2XS9fFzDrMA6by/Ta1YUb2VfMtCIxmHbgwjllsoft2ihe8PjTxYnJObFzUyZYpBydJ4wWKW02Fg76Jpr/jSzDt67AfLlQSgoWFc1Z+lJLgebvxgb+8oy+eMJatHo/QVE4uikHYqXne836nqJOPJexxoPepqIU8+CF5yTlPF0/SPnMLWUf1H7DB1BDKGUZA05TSn4GoYbiP0vf/3XzPel6gPFBhg+4erQyxQRLW4K57y0LH5i/dqjAxJJB1cIshN1U3bJISsBRmaPzRhtk/9o0ddNdIP+9WkEU1WdYA1AHxdfgJz6aeba1TQl69bbr87Eb0X6OHuEcTk1Wch+35yk0pejfJ4molzbo9MstaNP3e2LNWnk580dWKIyeU2lUf2Rm27A/OolMGGtvJ3VpwEHO4VQrGGlKUT6lbKitYV2plkXfe81rXiNGR0fFddddJ/r6+sTFF18sPve5z4mHP/zh4tvf/narqo1gpO0uyCRO8z09n6Xs0A2NirhGEwHqwIHz6N+LBy6ndi5H5zrD4HtjQwkMmkUt0Bms3y00rYlTCBiyv9S7kOrHNqFUmqgQtrg2ELYc7RAU4sS1qA+nwU76wzcH7tbMBtc0x1oe/DyiHW1iR+dzi9KnVKMKrak+r+uax/rhtGidPxKH/yoqFHtWN1OeQ1jy/7P3H+C2JUd9ONrrpH1yuHnm3pm5k3MeaZRGAWUUEUgySAhhkEmy+SPASI8gywRhPtCT7D/PwiI9Y2HCA5s/JifZki2hBEJISKA0mnxzODnt93Wv3aurqqs6rL32Oeees0vf6J69Vq/OXV1dXfUreAOPLaX8LRLhrnACrJJpX+W+Z+vheKQcQSeQoXfDigXbHKBzqH/zLx/SRi/kvhDKR8LBS4u+56fj2ipbSmHlCQZMdoe2K/aNq3uunENrhFpK6fqxmFI94P9+GXGBOZU4d9ZY/pUyujOPOOsKCQi3SpfIO0NNKchcLBWNTikmHYjNNxljVF5mbCJLKXgYcrubYwrtxEMPxbihyhS6v6bUOmTJhCLhirxV3vNLBQb4JqFG3FBDSya+DfACFaxb0meSxSZnZUXTpPRlqkIElROQidpRoPM8pZS0PmyfFQzuqxfMRoC9aMKKI+lMAudTJi/iKAglAXiE5D4WuhyXZGvuglequtSvIZ5kZTvpjHVsbkzlElQM8+9h3QIvVVxmZZVYAl4bUvCxSilw6cRwIBZTCmCppVxoRqediQLqW0pxrqt4TYXPtHuJemYp9Zd/+Zfq937v99R9992nBgYG1FVXXaWe//znq+npafXOd75TveQlL+lV0X1KBPXOwSuSQv+mbOGp60vC+/G02yTDWGQ4eIvXLaaUZymVuDdqFskdOuswH3frjImCqdLyPAszBpCbOYsEhZkYhfA5YX04Cwupbz2zf0HBUr4qvNDCXNUlS6C6QOc5JPVkIR2axDnKC28QU0rjnsD8pEiG0u+yDnzZ9L1kjZVC7mDHHx48973Ov+uB6JfcE8lNxPYNbyk1EFS0h3jC/skRVjkOb2opxZT6UhQXdCjOsLji8DNCBwRI3nfUYiHCNmxbYrh5Lj/eNYBzS0W4QrY8r3xqpWLTwQOw+5u7pJCiNzVk7MDkncaLUy4KUL5kjcQ+8yylMhSi5Xfp/FZS4Jo5XykfGYslDlMKuH6F3ffIbwBRYAHv8UEezDmL+8XNDVRGO+g6U4HIExmg60M+qIWvAMEKHUtQ2UetfUOKLPi9Z52DlEbMgVXAXqLrllorWj1x2FLKtjPemThsfaiN7m+n9Ajnx+EYhiN3cuT6DwYPqPhrx5qj4lXM/gMV6Zj/1aOQpV5ZN2Ltwswn+BsPQfoZRyLbfsm90pv/oLLSfsW5nMkeAL5QG2uWleekMfme51ynfuX/fEX94+Nl1M8YQblbVAwLSiPudzyiqU+o/2H/BVyMKc80r0mS0vtC3i+CLgipc0i5yN3IfS8yV/ewDmrrLKUWFhbUoUOHzN9zc3PGnU/T7bffrj75yU/2qtg+AaKm40Fqh608JAuZNEDLlArwzJqznoodpEO4JvEb0XCDYlYLEqUI9akkdSfFreCUUOg3k1E75nJXhEEDXTosjMfy49z3pHoYARSVK1NZPtxUmDQk+p75IrIxhygVFyXF594SVGKEbnTo3G8n4A7kmg2LYOLV/MMCcMi6LkaipZQAqA2twnACPw/KD7j6cZhSOsxvEVSky+200ffc9y6tdBCNzcHUORqbliE3S0FOzMaUkphgCMPtusOT1d9UGSlG32M6BUfncodTSXmCsoWHS/C3H32P540laHpDG4CXN/6323zM35vw8MxfgsTGkI08xpbrxqJrTCkBpxCW71kJmdttWWEAa+rhh3UaPdxx36NnIagMg/+iXNHBy28fPBDbx/Z9BeCdOWjejUAAAQAASURBVPohOU7irZwlNjzQsQfw0JxnFfGy0sjmx+3N1PVrQ3Lfs0UzBThFmlxllx+tcfqFAe/i5PiDPshSC91coHNkxYMCM3TeDzDWhN6Fq+DKVfMEHevWEiuUKBaqb325JqS0YssPpIEXnaIXBXnB9WvoG6eY5tOiLg4o0SFV0AzCmByaHlWvu/9KlU6uV6ULAhwdL97xUJ5OuSDBfQaeM/yFy1PKl7NgLveLInjRLtWBI50fzGdkcFBskwS7sNctpXqmlLrxxhvV5z//efP3nXfeqX7hF35BPfLII+q9732vuuyyy3pVbJ8YysEbkBiRFRbrCL6hW01cB595lTdjYfItpfx8oZuMJqlLJKVFDlg4R3QTdeXl96hkOUHNz2MWZeKtNFMlmxbejPr1YrKSNuDOYbAQ0nG3GtW31CKkqpuk8FFhTCnGUioVg4yjunOEEjosD4QtvejNJnzGKaXgjSl+TtNx5YTnrO1LZymV3x+hIvTMsEpE19fl7+XOzSH3jcu7zYN7M33EKem5m2xSGGtG//96yc0Gj8rmXdalU1agn3KUnBTDBB+KiuRLDP8QkKaVirlfVwqUDLb3qruPVYc0DsA4xX0PHlrhnkIBkuHhBF6ISGeyIU8phRXcsJ5BTBPVPcX7NLz3YcUjXCOZbrtkr8CW1n4ebg04V4pueCy16jb1ARuNt84T3ffoKzjOFbYYkjX8b/ns/UOeb5GNn1OMz271nTjirrBmmTGA+F0c1kxMEUDJym4SL4Tr3ceUcunoWnORiWU5N8tSKlEhAosJYdcg2bco1PToMHovWQBLBNsH+6mS4zr/2mzLNYDzMHIQqXuZtqYMjOaH/56OIaSQ5a75rZqwlLKKaZ5H0e/hvizt0ZxCQ5RrWSV+GG80Fn1P0xhzsSYRVIJJWYaiKPJzm+G5VV+ney3APHhroyKINWmAzumFRIKVLLo0iF4e4zSc3JLCX4o9bDvVM/e97/3e71WPPfaY+fvtb3+7etGLXqTe//73q5GREfWrv/qrvSq2T4DqhA0W3feAawekpAWWuL64UL7cTQGtYpFxWx+rC9ccZM3QhQo7dkuaSlIN3E2fPUjhlLTu3Fhzm69JS5LyllL+39lW5ynR96giRXhu6kkyYa0Y9IGRCNROPkwbb20xYd0ect33xJsfwVJK6lLOGkM/g+57Lj9JCUWVVEyfipgLeo7xN0GdyiQTPeBKWC663zc2N6KWUtJcsoDlpt9ImkL4TiulQodYrqibL5tW1x50Fj/VrSwwL0HKEeBaW9d9z1giwLYGsoEHAo7nSsIhJSnqlfSe5i/NS7qXWZcUycKNVbYySgI9/qjLYGh5qthQ/t9UaWmUT0KkrLq8MEaVYqJLy2mKfwIP8NrVR8Jacd9gBR4+kKcqm1RXhC0t+LXJrenBFKUU+Q3d3KzFHJRfoLIrFIiBO/QgfBSG50sYn6nkHfLB33JkU3Kgg5dK3qHRliPXsGwDXT8dZZbQMizLYWaHcbgs78RzGV4C+Hl3/k1YqKkHVRohsPw2vmdMjw2rkxdXqt+rmdH3YLRLyKPc5WJJVu4p+b/Py2BAiKodNUVgND+Y8fXk+I22+scnLqor942zkUDxZWO8/NClQAhKwta9lvseMveyc5CvB+tpEGmXvXAMDcnYSIZSilGAU6JwGPR7Lj1th+a3m8Iqx6DgWC6XynV7d1nWj//BZ9XZhVWc7+amGupYLuUEBEP7YoJuGFYNunX79eVlir1OPVNKvf71r6/+vvfee9WDDz6oPve5z6krr7xSHThwoFfF9ilDCOUYTcx9r1Y9pOfkhYksxghLtP4eVhI9GHg4Sb7Jt7Qx8KbVclmppPMN3c7lkHiDQU4n3sGOCPxcfaR7mardoVsF5nAsbsDkxo4XIKTNG1TEe87lE8eqklwWUg9TGvDY6kNyp0h56OA3WU4pHLJU4i5UOUVNdXAUnku/NcmWWvqFxvBqs4DHOTPdKQW5clyI7OHBQi2vufKXGQWc/YarP1JAkBoaAUelufRJZVma6ITWrvLmXKIKX2iz9QgRvmHFh6DQt1aAK/8m+DDCofWRc0vql/+6vGziSAon7377debSUcB2ug4rpZQQEIHyaaiTou6yMC08aGulw0JnPlHFlVSOhCkVAnuleaZSNX6C0gDS5OiQaJXKEUziIk2G62F5z0Cu+x6YE+nue4KcAm/hq8MVVmrScTBjbg2dOgfxkHuXJcuDIOC9lmGCllJenvF9R/MgylOd1Vv4oCsRTQ77xN8LJUwp6mbkHyZD1eL4k00ufVcqB9qerGoPpJQPaT6h20OtoHiQ9XYyXiaja2BpULB2DmNlKTUzNtwd0DngWDBKnLWacoEHoFLKz4frr7pHAdRsQXyE6+7P/uEJ9UeffkzdeGRKff29x3BeghI0uXymbOoSS8m3lHJ/S+cm7IKI/6UkwWmE6u2wwuQ0o0N5llKuPoJsjpRD9HtmbjMu9qHoxZIlliTDUd6v60AVUpZfEzGM4A3yHY0v5MITjZNTyvr6bQqto2IP66h65r73pS99Cf0eHx9X99xzT18htUOBzjnwSC4vP7pSQkUSFxinEOHwdnzrjgRFRKIbItdVKYw6hViGXUcpFTBth3lSwZq6PJDAUaCeTJnkho31z06oI00rpQpG3yMCqP2bGxpOwOZck6ifPJ0vMYLYMqFvWCVLgrrGzrtQv3AHLsl9zx6mY1E/eKVQuL5Q0ZHzHZuHBHTeGVfqPiVaSgn1gIdVWj39blO0lPLz/ZPPPK7+9xdOVeMJ58QkVUoRAbgQDjCwjhJJ2ARG4AooqWzEMFs+OmB6Fqvl7//3n/2TevDscsZhl7wPtsTWxH/iRRLtPNDrlrNs8KxptcLDunUhpSeeYVCBoUFk/+mJi0GrH1qOnpvsoaaH0fdi/OPV912hfvSltwDlsCR8Q8HZuQnHXNvs+9VOZE8XnRIejN068+vvUqfeGKco/pHyuSqLbz1cezK2SJtVFOhP7aHUpAC8i7pspfJAuP7h/YydrdTlJHdqcRbptF0urZ+mrIs8N6gswhG1UoTppc+MPFh9D3lbZy0X2AWRRkUMXTZJyjeOsAJOJm46SxARcM+bHh3qyn0Plgu3SKowriylGIAveDnRjFVHrM+sTFL++svPPWH+/fzjF5PdwkMUvBTo/E9Kx10qcG6RoTIrXLOEysLc0tLLY5JzkY69BOQ03N/lbz99yJKZS48tpfh8REspvspB745YRHZch0ABTJ/BfY+6NAcvDNXepZ4ppa677jpjFfXN3/zN6pd+6ZfUF77whV4V1SeB4CEjRlQATTVxbDfoH8tZscADRJUfyY7W2XPfA5yE3qL6dWj3xH2vPOhx5anmLKUImCeHqxL6besTct+rsAiETSFWR/peSheKNuO55gTK4dz32I0QApfWwJTCGA4yW+WFYenmxz/8SuNj8hFcD2yEFpw3zleqH7d2Q+57FDy1LkHwY/+dczGBih/dLbL7Hi/ouPb780KXfc+Vs54yF2JK2baeuLisfutjD6lf/tCXXToAVjtOTOipxaa5qSUWO34decLK4EA68tJad9h36OAuKJPOLfk3kCHylaTy3JXc92jfmLoDYY/HlKLKVt4SzDyBBy4R/xAfgKVydF043mXWZsNKKU/pK6R70W1HKoB9ky5B+IY7idsz+e8qJV4HjNkqpZB1RVXXdiN4fOJBC7mhOj6E+oqpghe5iSHab1DxAW/bgUcu/JrNQxoLbl7BPOlBKndmherhWzvaOrS9MXCKTt56KGyd4oNrV1Z/Afe9KkIho4ynSjI4rmjvDyiLUtdpipUa5mOy7Ekvz7T7nmSVl0Jw/sCLm4GApRSVbbFiGrRDdU8sJlCVceH1SeyyOIVilqrB85LeZ8i6gDxI4lu83CGo5Bj5ObWNdQMwUWojvsmnCeEj8bi5/niHDCaQeyC0moLlCPJySOY0mFKMNXwRxZQKK8NoLSBxOHeVbBtYScUeNpXqmVLqoYceUu985zvV2NiY+pmf+Rl1ww03qGPHjqnXve516hd/8Rd7VWyfANlpnbTJVps4/zoE0hith7C+dBQrSLGoJKlKCZpeKyZiftLuW+4ZUEpJ5kUpNxBsKGDVGHm4CTGFg9AXXJUoA+WUHzngfC5sOP8+ZkJfsFZcRVTYkzCZvOh7Vd4qieC6CeGiQEUALC9VoKVYCigfBgRdXPtdbHoxHkAFWXhwSSV3o829c9YoI6A/dVuraDT0GybvMn/3vSewKKWmRofVf/imu9Wr73PuAxqsnK4dWK5tP1ReafcplDc5VDqVSUnIaioyVuh1IUTHYixRoEIPRj7irMbqRo6jX4XmLiTaYk+hDsziUzClqKDvlJ4U6Jyfc5LCnbOU4oFy5QAF3e/vtpBw+py9D86BmMu7PRBZpRTd12OHLKiYTVVKSXsXtHiA+6A7ePBuujC7VKXEWqe9WibAmH/uUBfD9YxZn9k0cL7aOsN8sy2lwAf/8NgF9YUT83JaQaEGlUp0X+LkNkrcCEYtpYSQ9dQCyu4P0K0KXuhIl0Pw2xil9DnGlJK/02VaWUV/QoHOV7OBziOA3OQgDq3MsBzk91dd0YFzZYNks+Xc6Hw3MZxLypqlecBLI2oxm/I96ldJKcV8L4pkxKo5Bei8aYJ8X4bWwG2CkSG5tnFWftBq2ctfUMCGFOdlfcNzU9eD42HOxU5FKYY3Fzpz2QvyvqXUNimljh49ahRQ/+k//ScThU//97znPU/91m/9lvqO7/iOXhXbJ8XjpcSoHbHykKLnpGzM0gK75bJpdd/xfeY/WwmPAXMacZIh3RC86DFMRAnZVDOsue8msBqXd53DnmgpFQE6911gmDoKwqRv9h2pY/i1wxsSUoYwFMrDti/scVn5rpx8+5BSCmil0gF6gRIhFBmKFYYDrorVd+W/FtxZohRgd5gfFUY5tydKsqVW+ZwK/nUCLoRIN2lNcN9b6bgQeXVDArH7gQ6rtH6dl/qQDQ/a2hIk5ZBtI+1pmhihmFK2XFgXqIiC1YgopRhhlraPlmvxuLh0jSrKmfXHERWEqUKW3uLbw6a0HjgLQGjNAi2lOIBZSkjvF7Cs0u2Vou+lACh3Q7HDCzfnpO8hj4x9Z/vArj1nKeXPZy6HduJNNyTRUCpyMOEiPuly4fxKicIE9yiMJwN5OfYnydnrqcIFWfYxFkG5B1eb+sLymvrZP/m8+pX//eVoYlqG7jOoaEG4KYmuLr5SF9ePElRCc3PFyhVVBFiklILfyntnqlKS4lRxxClzpPTLnfVTMJZSubxDir5HMaVC0fcQtiDkxzWPzFTpTYnj/bAu4cxTyseJJj2XerldENeNBToXvsVYQnat8iQVn3TGasiyBqrAUtr0pZPz6rv+yyfUb338IbGua2aPpvX187KEgw7x5Yp7UUgpJUT0djwszvdzd3BkgdtZa8yS8utUqD1LPQM6X1xcVB/60IfUBz7wAfPf3/zN36ibbrpJvfnNb1bPfvaze1Vsn1Q9E1CbRrLykBUh7doMUzP173r2teqhM4vq4185IwLsckJkiPhblU6ZkcXONQcCl9Z1SdJ14r5sFlMKb3ox5Z3UFq5KnoskE8sVH6T5uqeOYUgp5X1bKVj8tH4kIX5jghZVGHS0iEbbK8sGgl+g8RwgpiSqwJTwNkeaMfRgYJ/F+7AQt0p2zkqYK/ZAAdZLXQoL4c5SClr76EeSpRQynkf8wCnMaIlwqGA5UNnE5WnHAFpKjbfIN+SQTg9oIdyiVCseX0FFMKWgpRThbXSV1NWn0Pkn3RbT2RcLZgGxGlItpaALeqjf2f2qSAQ6F3hjCqZJLkElW/mv6ook4dtZpYXrYW/MRzrzCvbTYMPR94KuD179cNhvzlIKWyapNEwpAKYNrQyhvBBrdahP9X/2goQqU7ode5v+/OJaPC35hrPEpLJbLCBH+T21D5XLovU23zOMsYIXqPYHrJSCClA/7zylVKyupo4MT5fyh3vXzFja0ayaI95zXilln7tLLoeLRvvk84/PexE1/R/NK83LeoTlGG++RfKGFxGvuPuouvnIlPol4Gqfci6gdUixlOLxwzKi6AbkPfStaogES0RIcP7+6WdK3K8/+fvH1Wvuu4JXMm201cCQFO00nL9ELNyFsHdb8HN9FgitFfvuxIVl9dj55SxlmEQIq7Di1XH5uNjDWqmeKaVmZ2fV3NycsZZ661vfqh544AHzu087E+g8dPuE88qvR2x5hcwnJSGSq1v1DWcdQ5QMtE/+x989qj725TPqBbceYergWsK1JfUGlEvVpDskxTjwQazLQym1SsB58Iy3svq2QmjUmjyqlQomC2EoSMJ+V9H3BBwNaWPW1gBQKZUioJj8ROwB5qEg0Mq4PL7rkOwegv+23e1Vr+jGfa/AByiVTiGBv8TtsZhSuIIyphRfjrPgYAIqgMbDckqgc3zAgF/ateEAnzWmFN5qKR8qqCIq4RaWV0RRIGGqZHQCP4peBUDQuTnzgc+fMJatuUQt96IHE0bBXPaNAHTO3MLC9+gAzbjY+QoMnr9KmFKUdLacPr200lCNkh3LlMOxSR/Zw9EcRpZS4cO0nZ/LHew6zlIqWDajJK5L+utgFgL/h98kW0p1lHB6HYEzJLbCg4rerPEvD1g2MAfds6k8lju10i4T8WHcsxQxyj5XD2xpF98nQmDjUougGyxUYNrU1H3Px5TqyIGM8tPyhFRPOWcpJaehYOxlG/i0dv3oJtD9QiI7R/zn7m/I553Fe6efgNzPRRJ13zEKk0yKWZxwvN+l9+WzmOWVJAd+zU2HjJWUv8fIDWszexlngeZ9xyg0xIjUQrny+Lqxb0qH0Q54WlgKubdyb7RsPdQuks+mUIblgOKl78o6+zQyVKiVNd6CGfIwW9bbfvfTYpui1p8J+4rNYi8rnrZFKfW1X/u1xlLqN37jN9Tjjz9u/tMWUhpbqk9bQ7FNkLeUkpRSKhhlJViPmH4icBjilAihhc/XEURdEdr33z75iPn3zz5bav4h5QD/SYTcIYAgUctSSrzBsGV10jFpNAO2m6t0Kx2ylLIbFcfgc3hsRCcVtpTysHKKoJIt330vDIhKLWek20iOBmu67zllYCz6XtrclKxrvHRMB8QObVQB7DBe0ud66LCl31nLNjgOes5wUSFpPrAaoahg2KoIK6W4fGn/TLSG1Itvv8y0XgvBKG9mfCTrqDjQuTz3QmOL5jAEiGbSfu6xi+oXPxhw8RFIstyTeDY33yDug3/Tyrvv0fyNaxhz+QGF0vK3oPBG60VWUOm6cJZSRtjvsftetwS7kXNZl+pvu8O671Xrg+ExQaVkF5bIsBzObR0ph/xiq1t2o/RIHKfKfW/QufPCuUjnEjdPpf6AFy9QBvIuh6o9P29upSgyoVKMTYuCI/jWoqmKL1QvIsNQiuGDUjwi67Zr9sZN11/cHl3BH2RiSoXmNCwlFmTHXqjo+bt/ciSpDpoPbjLlI0wpRnlC5w+tq9cOosCpQ1iJxPDsSo4Lf2t+k36PjRgPwYH3zRDr4S5rk9z3SACdUF05mUxe14UaHR6orOui0a4FizqvvuicEk9DiZet9QzF8rJVCvPueyA/mHekDhDDD5IORLGiNo3FFrdWIV4yF6ka8bVMTCljpTtQmO+qb3e2GLB7MaX++3//7+rUqVPqj//4j9VTn/pU9ad/+qfGWspiTfWp9xTbBCHZFLJSqnN4q1OPCMNEbhXeIcZnI1SgoHWWoseUdQlb+vDRIKCAIwszISo3URmgs0n3Peg+QAkfwBgFiSBi0ZtF/vaGP1RzFDt8hIA9YSSt8rdKJmlT8YHOZcGXWsGE0lGC2DaQuF6HbawsQyIThrMMy8Eh8sHw62BK8d/mTHXxINSZe1XkK6AsglZSlCfgW1qsILbvQ8pv+E7jS4VGGypYvuHeY+rr73Ug6a5cm9b9hv3FWZlIJLnNUkFb/w3XMbaUirve/N3D51QueYeJ6rY4nI4SnZcW+9D0H/MtHX94yEdjbTQSuBzWBQDVRa4nnJv4hb9uRkFExjq6GHdwUUn7PE3vVVG4leYOsNzYVO57Hd6I+0xuoItGlA50HiJOIekUPIxFZOel1dGK7nti9D1iMVSlw+uPZvvEhWX1jt//bNI+QSM2xVzBYpRyKeYA7mVLKQnoPKVaovwR+BiODTdX4Djb31AODl3YpWBE5SjQYoDqlKoDcVHuMT/3mjvVs286VCvqmoQp5ayXO31SKe/CEdxy9iOJYkokp3CN91kuti1WFvvKL7g/SETLwNbx8XIp5isl1rJU6Cs9XhDnMsY23/6yW9VTr91vLspiBK2vWPkvYEnINc1gObX5tv6PTz2mfu0jD6J38FIHRS9sJ8i1TH2tjMjVw8hEgD88em5JbButQyrZeUKj73V7AbNbqWdKKUu33367evrTn24UU0960pPUiRMn1G/+5m/2utg+odvJOMWi00nm90kbeGTtucMCgynFHRY9oTNcJ2O27SnA+HqHNkTjDpOAW8QRbAeNrNMrSyluLDkBxa+nrCBpmo9KAo51jUjKg/wbojICj4oCnYf6kEZ9y8FCKW/XfIVJzFKHuiVwVN6oU6WUNM9hnfjn5rfKUEpZoQsIujDPOpZSkvUkF13J3hrqqDqeUkrElPLfu3dwnSrkykctI7CZvoquFXqohO5z+e57vHLJ5sv9TRV6Je5OWBCuQ7mHB+5gUjB9YOsuWkqxFleuTvCQj/IWLaX4fqRDo7cCbo2WQLn42SwBM86lJOsjmN5aLEquUeBv2KfOvT7MS1YIphRn+RfCWOEs4iQS928QRZLWj5ZHKcZjaZlWCVdiStk0+FIIzhVa7i9/6MvqCYBdwrWFun5SS6m6Ftcxqw3uIpKmhZhS1JIE9oOcP79+wvV2652zOrZ8044hDJKgL3RCF3a2urGLnyp9wrqLXQJCspaGNtXs+IiaG8c84mtvv0y9+r4ronnCNaAtRXygcyr3hIMM1NR9ynkE8kuROcwelYUp5f52Fty4zNDwcNAIOOIyLwDCT3KCEbgzkdz3MHpgjK7YN66+/YFr1OHpVjAdtpzjO0RaH5J8V0bTo33n8v7A507I1mWobkDG4jw1hLljZcTSYsv/Bpp7PnTWV0p1gymFgi9YXp0XSHPPUc+UUu9617vUy1/+crV//351//33q//6X/+rcd37nd/5HXXy5MleFdsngbGlUq77HsdnqYtcTJFRuVUwi7Vk5LgQ35oD/6ZGNsh9DwhRqe2nGDmU1tbjHQytD+D+VWezt1V86R2Xe2WYfzu/udrGDrvSJhiKKCdZaYSoUlgI71lrA/AtveWi5UskbSrIXx2ID1KWun3Q/SknahQXcYirFRKaPCFSJQkM8kFSEmbj6WQgYFwmFf5yNuNQK2EkHCgMLnaUUhqIPHQQbXPKIa5uhWTW7gP0QqoORIE2cJWp774H/sb6FeY2mD+sQOFMspSqc0NO54poRRc4LOp+oUpfqCjhIvvQfDT/wha5IC0pi6sDx28sfeOTr1SHZ0ar+nBKDaOsIn36JBt1NnWuSJSgYDBlRPY+TrEKa9fOtZRCcziVP3bVE6zFA1RqSgC5puyI8s23lGIwpYBlN+X19FAq4d/Zb+F4UQgBp2CsRylWQRT3hfKEEqjc5Yd0DgkYauU6xaPFBbuBVCq/OuWDzqWXSP+/TzxclVG5Cm2GFVpVnyS676W4+xWBCx9KlSuWoFDi8pCVUu5vyDspphRSoAYqqK36aB7dUNDlkZNLIw/onNG86Bc/+CX1sa+cYd1qy3JQoeHoe8xlZigYCXdhELOsk4vn9mKlRoGlVNEQf4XrVpoTuW7oHMB4qB5S9D1JQcXt8ZCsnC5HonZr4eGzi4GW1FRKCTJmE+toN1LPMKW0EupZz3qW+hf/4l8Yt72ZmZleFdWnBoHOpSg5IpAfwzCpn3ts7UmCjXm2GXarYSPDeQdzYP5Obv80rQMtFtdMCBzOMT0pDL2XT1V/l0dd83tNNx6ZUu/5xrvV//nCKfWbH3vImYeC+lKCBj5sWwP+2lKeuWDAMB8pO3vAaZpKSynm0NjmLY7sAZez1tNrwp4rUpR2qgv3lApDJwQyyRwEZJebtBD3HMWEEkmJmzPXpYNQ+czlBS2lFlfXK6XUSgc0tvqGyRvW8d1//o9eObD2x/dPoHf2rMCFeU7DUiEHYIKHAPlwbG7hbi7CB3TwAIK3m8NbtV8IZvADhRKDGwrkW62mresYj4cm8VTY5PBBSgWd2w+h0hkrT3geJyr+CqWed8thdd/xOfX9v/Up015JcWznyltecIM6cWFFPXD9AfX7n3pU1SVaz6gVmk0nvIffc4e4lKAJmqxbCQfcz65nUL8mBHVfse7+5q3qfJyyFLL4dSaKJVg7qUqtUFOh5SSerwU7JrlwZU5WCNShOljbsmKKXpfgw188jSJYcQSVWpZMPoFvoNIKy6pYaVe1AVgAYWwuv/et3JiCEWrr4kpWcZesSH4W6DwUrbfk0zB/qVz3N7y4sfWhVoGxtTfdhVVnhU0GFQxMp1kewVWDswBHezpJ/1efP2HmoP7vSW/cx1p+pmAJwvzpuUJykTRtYPDpYucwLvpeua6YtKpAllKpuvyY/FmuPyD7qnQKuT3TPVGqr4/px/efuESZfK1SygRPYsYQWvE+dMa3lEoql6tKp5HU0ribM99eoJ4ppT72sY/1Kus+JRIVKkJU3TQJTKsSaKkZLZO5dq2Al4Bxqxko2OB3KSC2tMosLhU5KOvfn3n0vPriyQUTjaPKi7WU4gUeS9ZtIUSwbTEhORZhBfbnZGvIuwXmymEtpURFo5Ld91QzFNtEQ5hSnqVcVbd47UKR69h6CnlSiwooIIdqYYGVNxC+An87jDC6KhPkgFKKURjB33pztuC81KLGlUnqkGNtVimSOnW2mWXwIUrcN9AaBc5hayk1Pjyozhc41DnCJkgsG/b/kZlR9cMvuVnNJAjnXvu5vKu2uN+iojAyrSUsN+oSSLOBln7e8U7g610rpcgcQWVC6zqi+KG8Cgp6ftREn6CADRXTUBlXfptgKcW6Brp9hbWU0vXssLQj06Pq1su7v6Sjcyg2s6GSg6OY4jZ20yzh7cG6suWC/SrZfU9oKlUy+goe4SOwdqR20rls96gSU8rn5RI+WVVs8B1+T62sOdD+HHLWV3IG1bgSuUJ238Pvv3JqwcsTXvDwUAlxTClnJet/z2EiYl7hnnt5dxpggZa5yyhcV/xvDt4fR9XeLLhYl+/wb2mPkfCOqELGyhOlgpDP656r5tQzbzgQLVOiy2dH1SNnl0QXeks2V44F0LnlfU8eXFxex99vMheiqOyYVsqfl6Hoez5vTpsvqD5EIU0JBlxJHZMof4WK20xpP7Ru4cW/qYdQX08uaPP8l+PRpQzl52sv33Qd6Fdw/9f5n1tcjdQpsscqf91RTClLfUypbcCU+uAHP6he//rXGzypRx4po5v92q/9monK16feU8hknZJNI2HjuJtO/jtIEoOuIyyHzO1FSykG7NkdejplqbZ615/+o/q9v3lEfeifnDspx1eh5QfH00OR4mC+0FrLVjnFcCC2j1BNPASO9fOCB1hJKJTrEOKjOQJYlU6YHVIUtfKb7tz32IgfKEoKEF7NeuCEX/I78TAlukwKJtq0vOAtLnNLj24IoWUMaFMIxJQV3iP8hOJ21Im+F7pVggegYQZTamwkDERulQNUIUGJDuk1ByfV/slWNMS9wzOR6+C7TxAlZyKmVKgMzmIEuYZApRTgbeV8VNFb+xSi/E1a13ScaUm06IrngYha1bfMuGKLCaDgp1he4tkEjgfOlz6jAnilME5QVnZDORewJy4sBwOCwCaE8KA00eaE3PfcwYxXPnTdN8LhGuIzSe8kGUciu+8bTCnk4ggvkFz63AtyeLB13+IDtX1e5/Zdj3+Il1O8PV/5S9dUvA44Sq0/3hLvsQSV0LzymMqGWKlKXcsh2Tlv86euc5SclWyCYi9jbsNkNMov5eHiJTJSSnGWUhDvx7fAgvT19xxDoNq5ZNvQnYEI4VUkv1jWcJ+VLn7CwRj8NQb7nipZuL3GBV+TlPuRRqCyZcVO8LvINwi6QgA6lyjES9Y8PC5B7g8E6sGWduzBkMeU6sw/Dui881mVZ8yLIuGo5yuAPUspXG6ftkgppbGjXvjCF6qxsTH1N3/zN2plZcU8P3/+vPqpn/qpXhXbJ4ZyDoMSYF+OgouLfBQiKAxShp1iKUU5kSdsc0IiSPIwALfj3MZih8yQVQ+sg7uB4OuWupFwt4EmL8lSBX3r/uYUkNzmW5aRx0GjY85YREBataCfguCZY0kCCUbrwgcGIDyQ4eTytxZPllIFBN3nfiTDuFTlbjblucaBKcMNEFlzCQpEf2lxwjtfWXjghPkGrRSktrQjikXGUspitMAbRC4/lh8wlKbk9PNPs37000oWTyFhNaSgLzgloxKi7wG8KUkxDZVYqUT5mxU6pb51cwYnoOsLRqP0FVr+rIUCtrMSscEr8EGFdd9D68VfR7DfP/PoBe97VGZD0qhzRW9npf/ol8+ot/3up9XP/9UXcB1BPty8lOQI2l92/WHFN+YfOurcT//R5zDofI6llNRGURnrtwu+L+volBcpZcJgC1Bx5/bf8F4fVIgb8HQ3vj7QORmTGgd+vRZDlxxUSedj6mCGksLfsbKdTxPin5rvp8o3FHIBBrwpAuXaPoGXOBylWL6gKhb58jJ3EQCfpCwXmMeAcFCmyi70faQfYuSUm45CgUW4cfUtpXCcaDsG9kLAx+20vJevI5nKLNE6cP1a5ce0mVqSU7rlsmmXH/heSo/xYSOVr9LF5zQ8p+RaS0lEAxdJcy209nFfpvF+eHFp1n/gbFOefcTio/Wj5CmA65q17jHqmVLqJ37iJ9R73/te9b73vU8NDzuXBx2J75Of/GSviu1ThDFKFGPa9NaMfhf0g48wNviWrlvJTBPXDT/xrUXgQRlvxtT9jjv0V65Cwi1sGtA5wM4wWdh6RD+NCupUYRjSxEctMKQNsIiPJVZupI85RzAqTPz78lfKWY+LxKhpMxA+mM028xYJ5kcJi1eoCO+70MZmLIgE9z0977ESwv0tKau8SlTlSEqpjlDfwOHblsA1tw3KgG2qDhMDAz7eDiPAloDlMgXnOq0TuhHFvCb0PRQApVv1FDfAmPLE/o7dwpf158cYYlClksTPJTN9Lsond2Cy487hqFFFU5mvZJGLR7lUzvkUO1umAMhWh2lG6qoDIg/nUMrFk02vlVKaPvXQOVLHcAh1iQYESynOHVWvw4fOLJr/vnBi3uy9cOxTLU5DFJr3ofujGHYWfbza2ffhRR6dj7AunEWf2AY6vgQzida1znFHshoWrdtIKZB/GmVRQpmwryRX2WDI+Yh841tIusu3H/8fn1Uf7wBfl0o/Ui7Zv2IXTba9dO1pS11XfpyPawxEXOdCdt8jPFx03xNcy9z8wfJEafXGZuXJ8zn7+pOu3se70IcmCytzkN/e+7ax/vzO//JJ9WsfeZA5E/CWevDvULMMSH4AF4nOFW6vcTINzufo3Jj60ZfeYiyxKYlBRxSOVJq6f8QUjNDSM3dLCvESKrdK91shS/9YFDxdX25uIksp7xs376ElZUodOEJzopOx58mSIB/uZeqZUurzn/+8euYzn+k914Dn585hYahPvSHOhDRG0kYsWUq1E6ytYmsPKQfAIbosT9Zsu+9VOPoeqDQLVA4AsDgFkztk42gqllY34kArRpgCoJL8AYknWmXPdYz0lRNg/baGXLVCQNYxyyavvMiYVze+Kmx9liR4VnnFmTxyzSv4NqcoCqmyKtVaAd6Auzrx84ATPmO3LdKmXgRu1qCgIvUtzjNYBe8mu87WG7yFBrg9ENvL4WNwSiP0eVWv4MEw4R0HNJwyf+j3pUDl3sOximHPoN+sutb9XUg3vWA+S0rSOiD9dD5Kln5YYY/JhHUXMKU0m6BrZ2RQKyVpJngPgwdbus6kOri/ufcqmbYNSyJSrHRojA27hynVOQRgyz+n4Di9UFrNa5pfWUdzrY5LCiR2bMDf/AGvU3anoQ+eXhT25TbrvqeVtbB9yE0/VNfAOwgV0GaUtj6OZL5aigsSgOvgyi/L8N9DPNCUqFw00EqREXKeYkrBeQet0xAR6zsNfN157Jfbqb9tR+wALykEp0YdVG8KyxwFgNWUvOh7kYsHrlzI5+368i3KQpZS+cfEaw5OqH/+jKvVG592HM0RS9wI2+IlWAn8G2ei//zjzzxu0n3gcyc8PsBZqXpYgoEVWSpDiWIFXuwJiju43UlrVM+X4wdwIBVkgch9RC3fVVPue9hVOOLBWpukesTgKcKWUvzebddxGX2TfoN5aYyN5rBZavlXuQeDsvu0hUqpI0eOqC98AZuHa9J4Utdcc02viu0ToGqBJiwkzh2GW9he9KQES6nkehIFkKlXAheIW0pBk2/7TLGWUmvMoanqG4GRJgGdE3eIamgSxsbH6KIbYKee9CBf5JvPcxEQTdpMThGbAVUbhIRWOci9jt1qhUjPL05ph33XoRJTUozxQrGtn0SSIB6bBlTxwhE8bMNnZbnEUgrUggMmdunSDw3UzcPhkOUPlhsD/uaqOpiANtl1yilPkFIKKIJClBpp0taJ/p3idgfHCwvM8HkgH6qEQgcW3mokdAtvSBDOYhgrHFFBXHKFhhZj8F/7t6SU4qw99CGKdhlUNlFXas/lkcUkAn8ziv0cRVNz7nvcQSKQPkMMxu57ee2p3PeYOayzffSci8q2uOIudKhitg5xFh9mHYQwpQif+i8febCyJoNEP7UKVj0X7XyEuCV07/DcTBPbWh6mME9xl1p83ZpQStk22TXsYerANRXBgpJw7LgpGXTfEzCloPWrX0dmPZtn+LntC3t4jMmxEu7hZGsoy11xjFpKQYWSx6Nlt1icDqTh3PfYC0s+Ly4CYIx0m55+3QFkBRazlApl609TEn2P7Fl0zGM4Pikypee+NxiOvld+47eZtj2EgUfb5d6Ts1oiL4nxV+nSNoXquLZ5eVCDAslSSuBb3FofBnILxXuEe46EKZVs4Se00beUcmX3aQuVUm9605vU937v96q//uu/NhPl0UcfVe9///vV93//96vv+q7v6lWxfaqJA9WO3FRaVw8KVNtuAlOqkA+WKcByNH/PhQlYonAHVqSUYoB43UGKF+s5HCpKcHPJZUYx6xWKL1EJbZG8UiNglHmVaZvio7HzrbU+4zYvenCsDrIJlYO3IVio5Te/Mn9OgEuLl/tN91+p9k2MoO94Synua1/oiVlKUYVRpeQ1WFbwMM0rG6S5hesrKKXI+ybMk7mi2shSypVj20pdHGDd4N8QqJejUO099xl4i5fAcN1hjlfSpLrvhdaRd/dLpiw8IMIDtFFyqN6479n9wx9X0g/EMol2AVZK4Xdaycorkt1+KIW95tx6SHVYotvKzLgcpbGp22dbpCRMe+kzDl2SsjQlXwuKzFn+6WwfP++UUgur62gypLrv3XDId3UJ1c/WMbQ04X74oS+cqv5eXF1Xf/fwOe9CwLrv6UO7hHFWN/qedOlBlaDdue+FD5IQawXWwZJuM6xHyhykruLc3moDUXAEo5HFLMFNGcJBnLtsokomCV/VVYZ/PNka5hXYKs19D5LnYk3ykKxXEZ9PsJSiGJlhOI44taMfyFoprkk+bAjvGicVyVnXUffiULugzOG+l5VSqThaZdnyM2h5id8XxOowjW/GrJ3h3k/l7BjVUdjkWEkiGYtJJ134QuUhd6kLg9Zw+wPeF8ONhOXbpUu9HEKBqPqklFPpN0xvfetb1ebmpnruc5+rFhcXjStfq9VSP/iDP6i+/du/vVfF9okTWhNEFrvWJKZlD650UfM36nQTSxdq6eaRJmwXQcbGWf/AfJeR+x6DKQVuKTlBMkUphZlRKQBsJAPUht9LB2SO8aObO86iJHqbHKonFDhjLLcQhSzNvO3hNeWAWNVNxUkSauEIQr2k6M5D6i4pap5782H16UfOqzMLqyJGlYgpxQgdIUup0gKErk8357C7lksDgcFThBAJ84PeqDscsnwKgYJCRYQWsm3+Yfc9/7YrNkVzdGpclJ2wwssJQva3hPfWnaUUSQt+w8iFMC/dFi5+YR03Dqqgi4N9+uWaviF96aLv+Yfh0n2PHhJIdEHQ79Q1j1/v4cMfHesX3npE/dbHHtoS973Uw0CsVA7oPKWqnvtexU9wv1p69PwSUvi00UErXOCdV8yqNz1wjfrSqXn2fXnz7c9rp5Ri9rbKJc49mx51ioX3/Pk/GfyrK/aNo++qKG2DAw44mgHi1v+YOUcDaIQaWm4wnXIY64rqncwnY6QtvVIwtpwFLK0ElDHTNGMQPFzaW7mDqZ4bRvlqom36hzqKueW+4y/f2HI7fWHzj1tK4X8tTQL3vViZLKYUSMhZKXFyASUUGQ7JfP57Ll/4XLICChGHSSdFUqvyFWRCu35CVK4Dnt9ogpdY4nILtMsoaxhLQe5vm5+rF50vdVTIfn3ruNNHlVLo0jbt4rWepRT/PBQRFr6RxAhuCKFilxpVQHkcWmHWxZSCJGNKdcru1ix4l1LPLKX0hP7hH/5hdebMGfX3f//36iMf+Yg6efKkwZS6+uqre1VsnyARoSJEdlOXmJa9JadMg1ukNGpJlqUUOTByVgc0O1pl+g12x/IrEwM6dzhXPI+m1lWssqeHllL2JsAeysNAoHK+VT2ZOrh5ETpo83+zaa3CgiQc7hxoQphS1BLGgSOnKVQ4S57QLUxKHUJLjIKdelY8EqYU+JuGcE69zYPuUni8C3bT9oT6HPc9QSlT5wxembozPQsFRGjZAq0sfaBz+DdYzwmKI/Zd57t3/ek/qvf+zy+i+ROL1im9E4XcoLWFXOfyXEsULuA3tpSKz+dct2zWUkqQJi3blRTMnvuevX1kwP31XkW/t8edkrA7FOUlrDtFpOn0PXXJgcRaf9ZYI8iSJiF9rAx0AIA/ovt3HOgcXjJBS6l54L6XcmjS7yGQNCXp60rhyt6U238LFhdIK6Q0aXB2qU52bUhhx1leFuIPYB6Wlxb4ss69E/JOIL3mwphSSOXklYCshQW3f0rYhVyoFydTDvgXEpyc5SlbBPB87nLIi74XtSrhFYJTwH0P1aXIt5SKuUxLaxpWHQFiVwrYIslSSpcfiuAqUR29i3zxqRWSaTATlmhbOEUAxlcN140LqBFyzaRBAuDfjG7XI7fyZL/YOtH34kopHKEyZ1vKiS4nKWTo2pfkcgmDVbKetOXR8x38RrIczcULheWW/ypiKdWnLVVKraysqLe97W3qvvvuM5H2/vAP/1Ddcsst6jOf+Yy68cYb1Xve8x71fd/3fU0X2yeGcqyNopZSVQSDuFVQrrkvfA8BjCUmQDFwBqKWUj7ODUyysu4EY66rNqBVRhEHOufcXKA1jGH2Gdzev/0rWMHFKiygRZafV3wjk6J9lGXL9Uw8R3fyw/9SkFwLIsviQVAFmHCQ5YjDF7PPefwvPh9oeVF+A+tH5j86nNWzHCqSLKVkTCkafQ/WnboISHV3efJ1+NxjF9Wv/u8vG+sH7gCVQ1TBJSnfSkupIu5mi7VSVb1yFUccfezLZ7Jv0zylCVGOwCEJ8QsfM4r/m3sG+RQ8X0qAn3VuZql7oogp5UX2wn/TdkK8GzpH9Hzm+oXWgZsrnFsPV1/6nJYXwmlr7IIU7GUNXL6zN9Fl/xS1LKWw61JJF5fXkWXx4so6zivSOSk8hcWUKuKHCng5NT0mu19S0nzVARtDBZIt3z+gwrZwBOvMXWhZXUUszHyIqKshJXqw9i1FQJpEvofkD9BvkDjFobM2gJbgCUp60VLK5/0VplSmpRTtF9FSKhHoHKajmFLUWl+aQ+jygVXKMd8wzziw95R9Ebv/dp7ZQ7kwTyqZkO4NItYP/ptigUJiIwKTPSZmwUrPFXA/9PqJyaqyaqQvhPlZfiODwmOg87RNJXZxW1741bPo5aBPugU656ImhyxepRrbPWlx1Q9KhaAAmOMttrLPb2NlRVvxaien9mkL3Pd+7Md+TP3CL/yCet7znqf+z//5P+rVr361+tZv/VZjKfVzP/dz5vfgoHwz0KfmqOKZCesoBv5rXT18S6mU6HvhxQeZO8V+ghvBD7/kZqOA8f3sVbBOkI84bAv3cGUtrGiDEQE5tkfd93QdV5BDGN406QE0H+icf28VFiGLLOmmqKonAAFG32UoflJIOszZg3II6Jw+lIQZjuDcgMnRhrcZt5wolUtg3gYWGTr0MlY80q0fFj5tPQOLmTE/hvhiUgjh4SF8UMB1Tzs0aPqV//1lUv8qk2wKN7PtwnZDSylg/ULLRMINqF+oakG3OfIOKuuR+buYd1jY96O96f/jBLFwHlQGh+kxH4WgxW3VZqpeJzKanSqaJ2pFs+0naXw5pUPBjIULvOEfWIxSiuQL8cOoEodaqDXB48TDomCd10yp9erE80DHN6IXDFL0PfDM8h54AaRpYXUDgc6nTrGwkpDwMOKi4X3T+ffi8lr1LOdABi2lTCANUkSGGIbKh7g01GXNudqq2qQvsULWDRU/6PCEuOtLpqWU0MVsZK1q7cI9jtuX/bHnFJ0lL8Q81e4plcVtLPqe0HfSJU/RANA55RTSRQG2lPLrw7nv+VyTV2ilHKbrRIO0+XL5x84df/3lM+rmy6ZgbtVf+pKMc9/De0z4gkpluu/xsjWfD1esJJvC9xJGaIhie3ipBGvX4oOcwYKF4/Cf13DfY1whEUl7a6HU/okR9cjqkjo1v0I/QZ3NSeKwTjn8tnLfo9H3GrhA2s3UuFLqt3/7t9V//s//Wb385S83bnt33HGHWl9fV5/61Kf6msEtphzBxW3z5aGZMk5rKUW14dzmQxlfzqg7sOLObwB6cPWBiUAklQCOCYrY4g4myXUC1lvcFKZKKU4oMYJdzQNIyBoCu+9tRhWMcGxEN0MBWFGqGxduN/V2nWZrbzSgpdRPf/0d6tOPnFPv/8hX3bc1WQmMLoIitwmWLqZ+TFlGiAPDHJpPsI3SHIq576VYqegcJPc9/Tk24/cPkfQ5rXvuxmz7tw7blyIbVYc06FJbUEwpfl5zf4frlq5UWgaK7RBYp1SuOTwJQq6NKMZdRHr5EGUOTQvTYyUluZ1lyqpzALa8RPMoDd2n5yOP2+DXFZIffW9AtOrigM4LDfSPDtmuHKzIy1Maic+FqdMknhR072oCp4Q7oKdUl/afvVjglKz0AshgSoGyYoemGBvkLGCgsovtp87LJXCLbusE8SbHW0OeZZctEwaiaAt7XMphlHuHMPQqnBKcZx0lgB7jEK+CStyf+IN/UF85tcDsgS5NEtA5tM4UVg9XJzgvOAVDyDUqBRC9/NbuOSpoKaXbDGVM3+WoncUrqFUlTAcjh0nrjS2riFlKURldM752IziCMUwpEQ+I/AvJyoOcm5n9/dlHL4Ay3bt/+et/U8nkdM+Df4fWo5nfROcCu0bClKJ1TiXHr0JA5/JeH8tXIugumLtVUaW1hePYYKyTpH2QdlFb+JvFnZMu+5RWSrXUI2eX1Pwy4d9A7irxKf06YSy08BjCdXdtJxiHFKSoDym1Re57Dz/8sLr33nvN37fddpsBN9fuen2F1NaTu+mKM0NoEs0tlkrxkRAOjwtjG64ntHaw9bCKFnj4FISEIqZthxukfRZtRrKAvkqYMeu+BxRjWs7IUUz5OD/4QXVLS3yWWQufiB96eSsr18F3o8kTllwbeLLCQ4UppZQ6ONVS9x3fF8DKscJ/vE9LqyR76wyVUjgNLoupPykrNJ1gWk7GS5mKqYfZkPueJJBBJWpKMakH4EY2XVZI0Df85d+wTZxLH5cNxWeRKGfLggdaCvSeSjiaT9o3nOIp9BsSct8jabkRrqP4sGNiFZ/l4TVwmCL/mr+ZiJWDgahfJaaUrFiiPABji2C3XPdcqC/zvIxKtgVKqcy9TCr5wvKaetef/aM6ccHdIjvrpfhOBdtaKgQ7/Bh8adNYvm5pfsUBnZt0iYsm1I38mrAHj3h6k65TqXOLa2JgAEtGZoJKKSIvUPwn+y7YBuJOVPEUgu1ox6mOwljXNYRRWGGhtNueQooGmYCXbiGiLuTspQfTGNj1nCuW/WKDwYzheClXduW+V2FK8UzY8h5OEaYVlxKl8gT4k3XfQ+uqSNhLOKVUeL51E3FV4kkOg0tQ2lUypv8uBFvA54Uz4eAg/D1Gzo9T/MP5EcN9DSnlwluCpOCULd9DFGOvVLmcs11R3h7imVJ9QwreOKaUHDlXnyHYekD3UgHbFZabcuH446+8Tb38rsvVq+89xsLoOKvXvk5kS5RSGxsbamTEhUAfGhpSk5Pp4Xs5+vmf/3l1/PhxNTo6qu6//3710Y9+NOm73/iN3zAT9ZWvfKXai2QXfpqllBWkeD//4W6i7yVwNmiezYHDhYT5KKYUxBABt8upZL+XhCjPfY/FlMKUw+w9yzPyrd0crRVb6FCMLKW4Sghm+JXVC81P2nTYp7ANRRKmlHRAzDkkSvhi6BCObkP8elIqLZ7cuwOT/KbHfeeDcPJ9nqPkkyKRwShaUnQ36sYl1YHmGSPnipVPIv4CEZzgOHDWU/Ab7u9whDyV/G4ZuCU516dA3szNKpzrFIQ15fBR/sZl0JDkMD0E0S1vioHSJiKcpVKb4YnlwZ2kC9zOmrnrKcPdmLdZTCn8DFooQkswPx3fjhx+XVo+COMlSFyTrfqQBsmjIjTitz/+sPrMI+dFvhFrO5xT0OqSS0P3ykUAdM5FWZSakLe2wtH3OLLywdnFMmpq6GAMI5uW7qR8nX0ssxDvwe60UOGu0EHK8sn0tQkVaCmYUlJ0YXyZKAMySwd5yHMgheQPU1YgkAS15Kc8D5VNHjv4g3bEUqpTD7JHveLuo+qdr7qd/Uaqb5lfkQV0DvORFV3wb6i84+Vp/YvLqg6OYFkOrK+dyOFvpOh7vKVU2GpFqjXeH3H60Dnlr790poqgbAlZKjH7DSWpuqELFPE7oAjnypcopgihFwQ5o8+56UmWdpKuk+aALhPhxbFwucCeF1ShDkw6nYQMdM7L4VgZpqJ0+eyYesVdR6sABjT6Hiy7T1vgvqcZxRvf+EZjIaVpeXlZfed3fqeamJhA6X73d383Kb/f/M3fVG95y1vUe9/7XqOQeve7361e+MIXqs9//vPq0KFD4ndf+cpX1A/8wA+oBx54QO1VKjLMRuFBnVssEMMDf+fnLVlkpNSVRj4JueRIZdCbNhhVoY6lFMZQSMOUomQtBMr65nGjWPQTz1IqUA4SVjj3PWG+pNzyoSSp417wpuzWFNi2IWf8QwQVltztq5d3oB/h96+575ixInzg+oPqzz77hFi/VLPlsmxeiSRRGypQOy4GUEGCDnwFfxsas8rTlBDrABXRjZUsNxdNO6FSSiW47zGYUjF5O2fOYUupcL5c2fSARm90xaoE2lDmSX6jcYdum0Rpw+RXh2dWBzwYlpmZQNR60Ve8099W0PP3IM59D+YJXT/oRQNVNsfd93zS5adaRXz3c65Tf/qZx9UbnnZc5VKROTbSVLmw5KyBWHkgwswR9l0E44ZiSmlLqX0TI6zinM8nrrQqAs94vCL/mU2HlVI844NzqJyLWNaw76BSK7im9Tsz38sEOsvqcq5yiXbz36ZJJb0PbKq2sZDjgH+rdnXKogqB6j20XhfcjLiy3fe8zxS3F8NxXwvweTpG5T7NKaW4fa3MF+IVciRZPly9f0JNtoYC4erDa6NKF8ITpcp5Ic8cRbL5LbQ1Fv1PIqSA7fxrn4izpJOQqwp1DYvNtdjY0b/riCihS0N2fuW42kb24hA+VjDbSDIYOCS3Szg+IeGr0fHR5eo+C1tKuecsNmDAm+aAaCkVxhv0MaXyhSDqvle3f/cKNa6U+pZv+Rb0+/Wvf31X+b3rXe9Sb3rTmwxYuiatnPqDP/gD9cu//MvqrW99q2it9brXvU694x3vUB/84AfVuXPn1F4kiKERI2euHzbjTTGjrXO7osvcMCaynXp06mA3o1Ce8eh7MOIaFiiy6ghAlUPR9/jIS64OkqJDIq/tIqYUvrnjikgJI8tezFjlEGkauk3MaJOUNAZizz3HG7L+Wx5bGslF1wNaTnD1LBLm3NTosPqOZ11r/v7zfyBKKZAD59pTCh71hCxKlUDdOXg4d1iK58HP11QXyBRKdcXhy8D/QkKWAwA43rm4+HMb37Jhi4U6RL9bBorpFPe9QjyIlkSXlXjLThXWUWUWnouojM7fpvaRG8NUsnIqNONn9xCgBClrSdtRsHyHdd/TYcxJD8PDKTXT90Hlfcp53jJKqfihSNO9V82Z/+oQVrLFxyZnqkMXg/gBF/4t9CWxurF812BK1aijOB7aMmYgbolNv6FkecR54L7HYabYvO3hXc9td+go0L/QVU5Sfro6gfElrsnl9513Viml0sniu733A18MpqtcLkOWUp2/pchVXNnoe04pxQEjF2mWUtwYsXIQc8Foi7U8S7KUqiJ/Jlh5dmsJz4l+WBkiKaXClYnlaykWgTCFaL4hWUsiqmxMNMzzKBStMNe1WrI8L3/L39F6hy5QQjwrJWiAn2+ejJ6Tnlt7I4JJlJRvWGEXVw6xuWr3vYAnQyyyNcaUUtkknTm7uKvd1dS4UupXfuVXGstrdXVVfeITn1Bve9vbqmcDAwMmst+HP/xh8bt/+2//rbGi+rZv+zajlIrRysqK+c/ShQslYN7m5qb571KlcoGX1hKxduj3ZeS1dudYjxeQ5i36WYlDsFEtZO3DT9NqXglvvlP60Aipnbrq/9k6rG9oVZXWopd1FFqK6lCCjQIG1sF5KPMp/63DXEydmPZq8Fb4zPYVJF0HVK/Eg0RVLrT0IOM5UPVVOV+rMTGCIsFYAH1lv6P1hGGtXaFlXvQApBkubFNVXqR9uk1cflr56ddpE/W7Nd126Vy5+mudUiIzBp28TL92FFKV4pKAfdo15K0Hgwvm+g/2M6xb+RzXlSqhzHgxiql2G/CfhPmi87FzzK5BLcxx4236qZM3nK+ozM5vWq4W2pPmrp0zzJqJUXnI8eeHbadtl26H7Rs9/9G4Ih7g2mXbZFhYsF8DfJN8t2QO1+0qOIPlpSHeh8rtTESOP5g5KCguaRm0rzWvgHnauVjiwcB3bj4bHtJ5C8m53fFrJbSv6Lz1nNRK07V1HXHNla33E4vzZOffJph3Oi3lVbbuei5QYW9o0J+3uh9sn5aYZK5etN9tnUlH436u1rd7bp/pw4KkKArvY3HyeIQdr86c4yjEQ8Q1htZSnJc7vuLKg/040BkvDRyu/50dGzFWSAsaU6odlj1QeyM8xeRF62t4u9w/ds69/ilXql/7yINl+zv84szCSvWd7L7XdvNxozMWnXWi87Bt0pdXcB8I8R7YFzo/y9sGis58q+ZyWU+0zhMO0ylpbfnauo2dy3Z9dtYUXLOQtIzglJzxtWZlPpyHmxfaIsP8TXikzqt6Bxqxvs7Vy9/X7ZhXvIGR42Bd9Lig9dOpA2wTXOuo7aQuiFcBXkO/Mb/AWEt5wudwXDh+ZcuU1h7Hr2Lzx/ZlJ/Nqfy77140v3E/0mobrBZJWjNKxCs15KPeE+K+rhx7HPDkF9jE3Dj6v9eeH7QTax3gOce0k4xWRNbg6y+PW2Ys34/wY0irDJyReA9ezJj03dFrL5+Bz2y54fuLPb44f4cdtNTc+JK4T2ye0bG4uc+ddWpZ05qLnM092I/IqJMtnLmV9RGrdG1dKNUmnTp0yAuvhw4fRc/37c5/7HPvNhz70IfVLv/RL6m//9m+Ty3nnO99prKoonTx50rgfXqp09uyiWltbV4tLS+rEiRPBtAuLi2plZVWdP3dWra4uq5VVPIHOnz1r3mt67PET1Y3X/PxC9dzS0sJ89UwL6LGyNa1qxeD6plpQG2plZUOtLGtl4ao6f7HMf1htiPlcOH8B1WFhsa1WVtwN54WLF81y12nmL1706ptKi4sL6sTJk9735+dde01blpe8NKdOnzZMVT9fXtJ1Wff6WKKlpXJsLJ0+fUq1l4Zd+Uvr5v3GWtnXCwtl+nNnz6oTY9g1Y2nRjdf8vN8Xuq/mF1a85yavlp4f53FbBzZNW0x+Fy9WY3TuXLifl5bKup47i/tuBdTP/B7YNOmW1jaq5wsLC4Y32N+Li26OaUV2yJpvY6BQJ0+fLsdhqK1WV9fMJrw0oOcgvr7Qf+p8S6U1toZbXJhXS0vLVR3g3NT1g88XwPxYNH/r79y4nDVra8Wrt35+YrhUlp/rjLElvfzoxdT8xXl1cblMN9QeMPNrvlP2ylBbLS2Wa6Acn/PqxIkyg0UwD8w4j2AclbrrRc/T9YUhNHaptLjYLsd9edmL2HX+/AW1sFCusfPnzpXjs7qhLnR40cULF9SyWYPraF7bMTp5vpzfK8WGKUeq24Xzuo+k+uE1eeqs40EXO+Ov15fEs+ja0xchp0+58bHjZvK7eFGtrq54/aBpdbBcH5bOnF3G6+Q0XCeLanlpzcw9rfw9c+ZM9W5pWan5hXKczp47ZwRE2i/zCwuGT6+tr5fyX8JVn85L56PX+/raqgkK8cSJkyYvuEbMOK9sqNOnT6uRtXnEp/Van5/HPP7ihZIPXejsD5CW5ufV2RG8Xk6eOlmtjYHNdXXmTLmf6T45f/6c67P5+c6ax3mePnNaTavF6rd9f+GCniMD6Nn6aqHOnXV9C2m0kPexFIJ5av6lx/LU6TOqWBkW57EtD/Il+I57bsdN99Ui4Bscwe+XwXw8c3bRm8+b62sG96c1PlCuwRWlzl8YKsfywnnVbg2Gy+qMz5mz/h5r63L+3CZZW+fVmZE1MV89B3SeN88q9eSjY+qDXzpveMyJE8PqsVNubkh0/vx5NbRe9r9e+5pvG3lmZKAzl0oedvKkW4tqqFCLi2UfcHTq5Em1tFS2UcsOpy/qvlpVS526nu7wsMWOXKRlPLinhGi0cHt2iHRZRo44z+/leq/QLEC/W1go1Llz/Ni1hgq1sl7uNctAlllYmFenwT5etf20v3ZWRtwcXCxKGbHcNzvzriMnzC8uob1az5eFVX//KfdkzFPb6x35yeSxrpaYdWHq0uk/zas0T7Cys+anJ4aW1bnz56NyASS9X6H5auaeM/fD786r1SE3b+g+ZGkRlFXukZ2/O3uall/gd+VY+jxfy54cv4qtiYVF13ZbR+2xcuLEppHzq+/NJUW5n2g+vzQyWM17SOeIjH/hwkW1rNdVZ15R0mVxdVzuyJ20j/T+u8jIvSE605EjaR9rsucXrk/g/NCk90Lax3DOWl4MScvFmq9Va0mfTRL2lYsXcT9S0nzP9OvappHfSjlKdvGNrdvVZZ7H0XPYE0+UZ8pTp/HYnz17Tp0YL3lVOS9kvqXHcGnRyT+uzRfV/LkRpTbWvPmi5cJzQ+XecJE5y2pa7PCWsj547Ly0YH7Rda+/PXGiMPW0Z1GYFuZ7guShFTp67ZoLupoutdtNehwueaVUnUZ/8zd/s3rf+96nDhw4kPydtsTSuFWW9KS54oor1MGDB9X09LS6VOmiuqiGhx9RrdZoEH9L09jYGdVqbap9+/apsbGLar3AAs6RQwdUq/W4+Xtu/wE1NlKCuI1PXFStFl6kszPTqtVaMn9rs/ZY2ab80UdVe21djYwMqZZaV5Pj46q1olRrbEy1WhtqYmxEzGfuwoBqtZyL5khrRLXW3YFpvINnpus5M63r5keSSaGpiQl15NAh1Wo9hJ4PDo+qDoSaoZmpSdU6j5nn3Nw+c1vYap1SE+Pjaq1YVevFelq5kxOqteCEp4MHDqj9wBx1dHlNtVqPlu8OHlTj42dM+v3796lDh2ZxXlML1XiVfeEOWpp0UIKxtUHVWsLMu8xrRs2eLVSr5UBxJ8ZbanGzVJxMT09VY7RvYUi1WmfFNk2MT5i0+1ZGVKt1xvXT7LRqnXBWi2OdcdduHq3WI2UdJybUwYMHqjZPTIxX5bZaD6vBgEZe24fs37dftVon1fjYqFrcGDCKl+ERpUY2KfhlYfIdHX1MrSm8HuZmptVVh/er//a3j6hDU3h9TUxcUK1WmV4/n5qad30+M63GL7bVPJifs7NzanjknBok1z/79+k+L/lPa8mNsQUUptFOJiYn1UqxatbL+OiwWcNj4xPl77FRNTM9qVp6UenxmZtVhw6VPPLgOT2mpXWoXv96nC1pRSqd76l06OBBNTM2jMYulUbHyj7V320OYKFoampateb1WOs5PqfGxi6Yto4aXrGp5mZn1PjJNbWw4ebR5KSbm8tDi6rVesLMrckJ/Q2/DudMHx1k301MnEVrcqg1Vo356Ni46fOpKVcmpempJdVquQuPmZkZdfjQwaqf9Lf2vd6DRluranPAr+fYWAuVsTCg1/eJim8cOuD4tsZ1XFarqrW2pMaGB9WBA/urtBNj42pqUrdhRU1PzxillZ0TrqxxNdLSi0SpkZFWkvn5pB6r1kWzRic2BlWxtq5m5/aryYmlqr8OHNTjrNfYutm3D82OqemHVivepNf67DmF+PaBfXOG54+MlvsDpAP7ZtX+fXoMTlbPDh88qEbNGnpcDQ8Nqtk5/f0Z0ydzs7PV/mF5WKv1VZTnwf371aGDLmCLfa/HzfGezrOpScMvW63TzHjJ+1gKwXrpNa35iF6zB2dGxTVmy5uavKBa59a9d+MT5701oOeAHv+xkSHTR9IaMWn1fne2HMuJcccLT67rfE+Zv2emp6rx1AHKDs1NqccXy/UzYtbLipqdmVGzY8NoL6dk19QFNY/Gt3o/Oanm5qbQHjU7O6sOHNDPsFu1Jb2f2DrPzKwY2WWyU05r3JdvOD6hMUv0eLdaY6a8kdZZNTY22Nk/HlcbA+tqenauqnNraNCUK/Wr5jsTeh9fLXnyYqHXywXDw3We6yP69xNGXirLeALJPCGanGip5fZKPJ2WO86vq2Gzxvw+0HPctKV12vDeKSNPYJ6haWJkSJtRmL9nDF/ryAtTU0ZeofNW74d0bCfGx0xfaBoaHlKt9rrZH2260dFyXQ0PP2rkR0t6/1sf0PsP3iv1Oh+9sIl4qpVVNY9oba6quRnHg3Fdyv6bndN75ZQaHT1pZNVSRppW009sGJ6nCa71qUknB9D5A/ttdtbxFE3jow9Vbvn63fjwYCVbwbUHaUo/tzIH4G+WX81ML1cyuiZdd83PKc+CshUkyh8p6aBU9rvJjjxUln1Qrazp/nnYvCstbsv9RM8Fjck1MXFatZaxLDRq5Bg3Fnp9mt+DvMLE8q/QWp+cPF/J6VpmuLip5YJ0pdQhI4M+Zv7eZ/YjJ8eOa55GlpheI7rs6cd1++fRWNE+1lh7dl3o/R/yM7vvaxnOtlHzvZR9ZebR9eD5R5c1MrJsZC59ztDnwuV2Wp9Mmj7HMv+sljmBnFTVYwafPQ4cPGhgJE5vXEBrX/PSQ4dKPjOi1+WGXJeZ6Rk1uTyoWvN4Ttg9fXz0UaXW6D43pfbv02vljBoxMpyv5NTnyWoPPd32xgLSeGeMURnmzLVi+KN+N/lVvccsmr6GaeGaOkTyMBaERWHWyKWqlNI84ZJXSmkBdXBwUD3xBBYm9O8jR4546b/4xS8agPOXvexlnsmYjgKowdGvvbbEfYGkQdktMDskPfiX6gTQVNa9BAtJaUeJxzDA+tuPDA+56ExV3nwUmeHBweqZiTaWUHYZ6UHj4Lh66H/1ubv8LeejI7rAOpiQ4zB6Rcdf3IA968hMNSHmdPnc91qpAZ+NDLv2Wyq0vWqnLXrzl0DT+fbhtHpNwL4YGXLldRxS3FiSPoN9RfvNfKfd8Uj/2bRlfrQuLg9YXiy6kB1Pmk5HrKAA3zrdEJhT+htYdzjHpH61GCb2h/lfB4/IuHR2wtSjsjt1HBDm+Itvv0xdNjumbjgyhfr5VfccU3/38Hn1/FsOl3MG1FULvl7fdE733Jyx+eqDNHyvgaO9SEMGR6qDN9AZF7sWdFtMVDIw9jZvfUDinpeE53YO6blRtt9fDzn8y/vWuIOUb/Q42PGxvEK3nc5TE1W0aldn/M3Yy/wAf0PrhvNfXtNuBw5rRFp/sG0e1hhamwWZ3/y8tt9ZsuMO6w9/2zk+SOalnWu2XzTAFS3PGUe5fGJk+9fg7gwWqlgr5yhsT+kK3uHPFZ/BcxW2y7SzM2cp77X8l/JpzTOHhtwY2TWo6wHT2vL9tYjHkuV5nWd6PXF5cOOVS3hOu7Ud4rchnvzOP/qc+tLJBWas3RqJ7VWIF4P2wbVF95rJ0eHqt8YiKcvS+2uYV9j8pX2cznnzDdkvpDxNPas6l8+0+Bib50NgfhqnsM46s/uSneu2T03/tn0egPIEfA3yOzs/q/ZXPCpdnqBrKdQuaY2ZvkLzXp6DwzrwwKrP1/Tf7Lgw+diotTZgjOH9Ol/Ac3U/0LrqtFz9LaYXTltaIeh/y/z5uWj4GOx7y1M7+x2c93CtSzzc9rNrPuYRJmhJ55zN8UZpbNz+4a9P+p3FRaN5+fJAJ31k/hiZ28pkA7S/wHgYF/ByvZT7NiMfGRmb4gzyMhNoEPsOrnXcL1rOyzsbQF5F+5MbaztHad24MxLMD/IN0DwkE4fOR7jOsTaW50Wzr5gotul8RYujobMgJG+uVXMjLrdJZPqAqa/jmaX8gd4Vbj1ppzou/2rcTBXC/Qdldlg+nP+dndWTD/H8GfDzrvaTS1MnkVrvHa2UGhkZUffee6/6i7/4C/XKV76yUjLp329+85u99DfddJP69Kc/jZ79yI/8iLGges973mOsn/YS5USaq87rIjCki+gFgSg5YDoIZplf1zb6rf1vNYVCRcei7xlf3CptvQN2WaciKeoEBw6Jw5CHQU5j5RaBCCkYaFVlg2dLnm9S21FYXJg+ApBp39J+oEDnIWDK6u+Eviz91TsYNlVEOkcl5gXfz1zueo5rIeq+4+UtDqQr9o2r937zvWzkEQ60OiVUMJ3/Ou8ltSHOMZverqeChOOGjdLCPawfrW9dsmPXTR4sxoXBiLF8wvVS1VamQMinIK8LTdNg9D3yexlEFaNBFdLyloFWJUBgriZYcMevoSKJAu6Xhz7FAoF3A3QOQd/t/HPYVCXBXB3QOW4T7Rsa0QaStiLkQ0MzvJgKgyK/Sacy+p7ALxsADnbkFBwpI8NVSSukOEoB6+fyldLTNanB4HVf6PGzFp86iRCsyeWTUBdvZRX50QNt+6WIe7RMCHRuB4PuH0huqq6P4vUy0fdIRDg7Z6uIXhlYODDoQIhsX0hA5xBPEkbt4tYjRzlA51ZxrVvq3vsf0/HSaaXogfRri1Vp73rkyHZuXOC/dkxuumyK/U4MfhCLsAdkl1I+h/yKzTIavMEH5ubHoj63avv9Vb0Jz1U++h4BOre4hlLpwkspEIN07gmR5mH7J0eMO+IBAqTN5eXmS3ytIqBz7j0FOk8cqViqNjOfuwE6l86C0j5I2S0CGY/Mm7CcJJQJomhzfIc+rxUgq5KrLK+uiu7TpaaU0qTd6nREv/vuu089+clPVu9+97uNj6aNxveGN7xBHT161OBCafOw2267DX2vzf800ed7gejmGSJ4kJI2T80EVzc1eDJUSkWiUiQqdW2ZNPRxFf43I/peFXGso0TTvy1v7OZMgEIgA6JCDx99D/dVTjX8CFv4Pdyc9NiEDsUpiiNu06wuCoTDYS7ZfOjXtO/EyCREoAilF5VSQEHEzeMqLybPWLuhQgr2WXlTrJIELNgWWh5XvgFftVGaOhO+ApglBz44N+ChIVcQCVE3aw1gpPoEDmnWGFST5Utl23DhMBunvArXIfSevtMAzpYk4SaWN+qviCJaygcJ2vTW0Sh3FFBK8WWUsJzM/MqXx8D8c0I0xU6zgQZsHb12MWHd7YGRUxqUPIQeutw6hErN0qIFl8WRGOVKOKxIc6ebSxE/r/Lffzoxr97zF/+UkD69bBqhNEQpockpL9BjpHmkBj1esxH5Iorc0L4By/fWRMaBEypmU6MNl5a79jt3dKoUrMxctZa5cp74N4w2Cutp53HO2kSXEypeB1EpNaD5tFM4SHWAB1OYRLLAkw5+ZaAE14/c/kI/1fsEd1j+yukFdeORKfXJB896/WwvNcUDdaVkwYdMW59rD06qH37JzQhiISv6XlDBhOe3JIdIe+8Vc+OCIkyQF2uyK1aXG5mjjvf7hXJ7RrB88XIVlgf+rtFQ/ck7X3WHWYMn57GvHs/H+ErFiuba2jEqSs4jXC8+Ujmn4A8RtxfbqO1RQ4JOoXTtYzD+cPkln5fnsHQeomdPSrBOKQpFSu6iw+aB69WnS0wp9drXvtYAjv/Yj/2Yevzxx9Vdd92l/viP/7gCP//qV796yZqz9ZosAz63tKp+6g//Qb32SVeYDZMjeHjlFcpa8OoIV2CT59ZxrTCyRBi0C9aGUQ7doFJmU90qGnemMjKMNiLl0uaQpMShQhu0XLJko0tVdciohn94JAcu477RuVHdcCHSRYVOla//XrrxdObSaWFxY82ThsG3LmIOqYHvqcBWKTnBC2cp5YRiToYKKWi4MU4h9kYyYZ+jwie32cPDvbv9ceXCw0ghhunGefbCsjCFQlFWyuhp5d9lFDmnbCjLDVujuZuq0vWpTv3p3IBKqRQrE//gEbhJD4RmrrvO6EHIWsJq6gSq86iOQAYtkqyilAp/sdtHbk/i9iK4/4SUfsCYpXLjcWny+vnQtI+TAN1kpTo0Sb/ziRKfpUmqLnYS3Ddgn0nto/2q+0jzsOU1fKkTV0rZf+XDDn+4LmqF76YWGvw37js9H52CVaF/YVbGBS3CX2yekK9XllLUWkelU6oluy2fYhfC9+1OBE4o36TulfBSKE0pVSgT36uSEePtMJZSzGH53OKaeuuLb1ZHZ8fUPVfOqXf8/mfK9GZvKQvgLJ3hGFDLF1idaxg5W6pvjCdI1uihPOnTf/vK29Tj55fV9Yen2DI5ZW6Zrh7DgnOhuvgLRk7jrWQlhUc7GqVT1bCUym9rORf8Cx5uTKWLNo6/wmfSvhuaFxJFmwii/JZ9kpixuZz36xlbQ1WxEh+DcluCnMBVt7IOF/aFincLSilYbOyOgh3LildbJXbapehepR2vlNKkXfU4dz1NH/jAB4Lf/uqv/qraqwQXyBdPzKt3/uHn1C9+y31Z34GH4KY7LKjhw2+mMGhvBAmjqOO+p4UvfVaE7ijdHAqkKlBeKQl9dTXkngAxwAt+WriHYxMTMiSBg9vs7d5CP5Fu6qJWKEI6aurvBJWMEz5wS9tY3fDqySntyvlRJJedYyGG3KQErAGOQgpE2fwZrxd4QEKWUuB7bdnhymlupwzdUMXIrhXugNIG7bQKWWplSUvEllKdenXhKkSbBKM4UffhlO9jAmCKEpb+hq6N9p0VkLSCSHIbMfUf9Ntglf05VI0f3D8Y4ZVaG4T4jH5XKaU49z2DNYMJK1ec4oCWZYt556tuV4+eX1b/oWOBROvzAy+8UT14elHdeWyGLV+6RAntY7mUm1NO0dUBIOEbasmRUrbuI+3+rMm577mLL7EslU8d2B85T3g4LXD7uYOWl38Hj8euEU9p0vkHy03t6Hq376kSvizTvSvrq5Ipde+yqaQ+MGHdkeKMz0e6pJSqwV6KGaW57mDhe6FsvSdAfqPX7S/8zy+q1z/lKgOq/cq7j6JLRT1Etk8li3c3R/C/sdmZ6tpK5wWy7iEKelEJTF5o5Zv+z33nlxmzrM8hOIYVNlKqApUplO4Z0AWbI0lhhZVSeE/JPRtga3j8joUQqCzr8uQDwb7K2xNTKNZGaLWfgyclnQstj/frwcvAvqVUnkIoCJkQOas04b4XvgzDvLpJr4TdRJeEUqpP9ci3FgjdLABLKYaP6OeWwWBLKf6mWqqDRJRfOJNKJ7CmfktvFXXb2u1KDZJWIbactG8lKxZnoZHHkGL4TPaQqRVwpfueswTKUXRYctZqBZgXZWIfRBBKTAmNIfXwgREpphTzbaAomJ/GzlhmDoMQU8ptSIE6Fg1ZA1a36viZtNFR3Cxo+cVb47mxs4ph6D4lWkr1yNK0O0upwDvovgcUL9B9L8z7eIWER6FDY+Azau3Jf8+tTTDe6LmcD4cNkpInnYcQU0oLprYNT7p6nzoyPap+/1OPRoXCmMWNhANlsVzoM1hvqZ2sUqoD0Ood8gdA3oDH0UOftYAa12HiSDss3XzZtPkP0sz4sDq/uKbuu2pOnCG9cN9LTp/BoKE7Zawcrv/o33T89BhZXg+VHlGeUe1D0STud6QNHD6hHe9UV9xKgWTgAvA3nHtI7FBN9ziohIf1dAf99MWZunfZ9Sq575me61hKmSUl7WOSMkYYRU6pX45hmNeJSilwWNZr9t3/7G5RhtH7SqWUihyoqctR3aUtyb7V7wB2kHwpGFGQMd+xslbNRnFK/ximUugSy3Pfi8z3XGzUHFnlh158k4leC2XVGO4rrJNnKRUpmpMPy3NaUaP+4XTeOSVj+LnLJgm/zodcsQobWQ5oZ/Bh+lwTt5zxGaAd7f86MpAzuCh/V/3b10mx1FdK7WLKmfTIXF+4MZEwQSjVwRmSzF8rS6lAnrS+FH8B4jx0iymVQpzJKjx4ScxTLjcujMGxCR2K8cHUTwCF5ZGhQq2sOQUOl6esk4oIRZJwMIDd7lwEGdKOhBt5eEsDN3CHKeUOK5yQI7kslnmnD2DMOi3l4KMJ9ovkq+8AcakrWYHNvcHn8Ea4SfeiboDOncDPv6sUz2AMq4NbpLzUm8CwdZ78juIjpXweui0P3QDmHM7hMy7SEhWe7MHstqPTRilVx30PCnSSpS1ae8LBCB3MAIYP517FBxjAfYiDQfDrEx7eU9boT7zyNnV6ftUEOvjiSRfyu1dA5728abXdavaqSNoU61tPKTU0oEYGsdJD/0q1lBIVHcKml26xrfKBzk3ET182ok2hclPIohIq1nVdqMU4rWeO/17qJYTtS1kp5epRXvxJaeS9mt0PpUN4gOdKzdfjF7N2g+Ok4Q+c/CMppcp/JeWjXE5Yhk0H58a8MFRHuS74t8G65OT+miyGXiqYZ+TfHHmL8nnogs2XL/Ul/BsLr6mKnSv3jZso0Thfun/zsjX8FxTtEfxcYhN1rG7jllLYoyNLKbWZ7r7nldv5lGaBMaUSLggC73j3Pf7SoElMKTj/9fdnF1Y7Zfe1Uhz1wZh2MeUIrdDPVbox4W66Y9H3Uhm9p+wgrh4hYdUzBbXWIuDWs3LZ6YIRpH4rCX1OMZZXh5RzTDU2WqgK+SxHDhDlt1bxEXfrwooOXumhMm+18fypP8+h4gZZSjFzlt2PCrktOdZF1GKAbkaikMYIjlX5nOLTmF7b9WIjnbm8sLl3kWSG3g1Vrlhd5dJmnzjLATf+yFKKukiCbFJvu3IwoSCl3Jx7SqhIXaT3IeuBgnX94KPvQYshD+yUWGXkEHSbtnOWt5SydWYERwY/w9aJxbEg0e8sP4E5Wx5A97uiC6XU+MiQUUiV7a13WMyh3LWaUzbFRUqth+yiJLvvQUwpyNaOH5hQ1xycYPMJhgZn1lZ4LfrfVkDnSe572F2aej4OEHzMFHdYtO7QZUNnLpM1mRMVKh1TqvxXil7XqSmqB5tCVErxz2XlFv4N9zPLZ+66ogxshKyHI2sXKr0h/pSslML7TWq045AiFbWNysJF/nrLVZBJOHx1Fd/wXFBd/CW6PnH1sAGPQAHBvERcMsGLI8YjUB5MQt/azf+OAuOHKIYpNRCQ50IUmxdlUfFLNY7YCyIx6BOVATprKQBoH2NxRt5hOr7y8qiplIIGBfWi73X2hs22+uO/f1x96qFzVX375FNfKbWLKUcIhYcCiXHZwyuKIiMI57kkHa5wRC3h24jwBRldNzfVMcavheiZsWET1YUSjPikKacatM7ct8MdJYQWqjYjBzwp3wobojO8nFKKfiG5hMUFNPnQxil8UHqClSOlg/nAaCWbyArACtWcpZRMOfOoiAkrovueXCZnFm3c2iorQZy3J8SA77DVVXNbZTc3QdKtoqaVtQ3gpogtCkT3PYZTca6UqfUPNS3BuCJBCYWFZzz9ecE6VkcvCiTJBx50EVBt5986AhmU8yhOoHQ7y7VDUq5xa0fPZ5jPRMcND90+w2AHSFEP6gt+5LZdGpZGMdtU7wi784dLSgGKp4Td96yLPs5L4/68+TnX47IirTaHS6Z+RTJ/xvMqJfqe7h94YecuhYrallKwzuWebJXw9oCFgyzkzM7UvSuezuFiQetVStKU0Nlz77jDYcFao/jfvumZ16jveva1Lq+NdqUonhqV5VLLm6ACTrTy6JT73g98Ub3/rx9MxgoNWXdTBQmqG1GkcPM131KKyJRMNFZbXh2CQ1itqc7vtrA/2qK41VpF6LQKroiSQtqDpWA8MR6B82CekYdcv9k1TPesWB+nWCCm1j1WFlSqGwvTjAmwKgQd4ctJs5RCVkoRLhcD/ef4GYxIHLp4klwvU8gFkGmrT37VRftcXF3Pz2wPUN99bxdTDkNpRyMY8BGPuEU6MeJMW1PP7tJNg7P8CH1bBJ8vrm6oJRsdqwtJPtaWZ1x3QD37xoNsv2sw18pyJHOnT0kPI1s5q7AaNyWA+bMWNMI4oTQJda6yo/kNYEspKQS4eOsI/sY3wqXQZUJEVyGl3WQ3m45wiOfElRz3PWqd5vnTS0JapqWUySuAKQUFBFgHeCNcR/HA190fwxwq3UH4upxfWkMRNm32LtKiP1+wpVRaG4MKnwAjcVY4RYbCKFIX5GJWhkbn6kGtfuh7KKDRgxDESoGWpdR6JIe4fLjoezDiD0cUVyXkuqAVHhB4fqJzSQLnvFUQ0P2Owxfi6hwj2T25l6qkMOUsw9DFBiU0Fgl82fIcqwyHh3ovopSwTmSrkzQrRMldiiq4k5RSQOGv5wm89Cjf8/NespRybbQ1dxHhLA+H8+t73v9JlUOpmFIpfBtGCEy1cILfcq8k9z2PZzJfa7eq+47v06F9qvF789dcp/7o04+p599yRG5HB0R9bd2VHcOU0vSX/3DCYMlJ9cH1lZ+XeUrzoRB/S3wQ8TG2DWlzoi63YgOU2IN9pJ1ckyCMhz5/QIsejqS1Jcmr5nnCfH/x7Zexshf9kvdCwP+6bxllSRHBlKoNdF5kW7ilUqorPTc+Vd8EZLOUy76QYrUu/popuxPBvR6mlM1DqUNTo+pLJxfM76v2YyvgPpXUt5TaxZTDVKBFhWTmyGFKcRvMeAAgVqKYT3bYH59/buv76Lkl9cjZpWg+uXXk6iExOH2r9pEvnXHpMrZ7X2HnfzuMFIbuwMXV0f3w35tb2c6YWcwPU6bA0K0yzCuHfSrUg3zHAeUnnHs8oko1KEBT4jd+mXKAzmFKqgyQyuYICqCcUqxNsJbKvF0dJNN12E9hV410krHG0oi7CbVChVZKVZYupiH40MfNVa6HOQUhpFC9Q6wgxfUpdutPFbwSqGmUnQn5llZiOB8oPMFLCmh+nkuVgi6ASYjc95iDCSeAh5TCej7D78dbg16UyZX1DXIgdHlzlKKcgCTl06z7XtFzoPMUL2URpwWWXfhjRA8sdJw5i8eUFnBryZcn+PRUAWsDrURKrNZnuX/i9V8pzQlDk1ktXgNlAAtnBUrrHyIdqID2c6qlVJrrfElO6uDyKXisIUFeSsFWSq2f7rcDky31zU89ro7MjIrpbN7YfS9Ntkm3lJKfhy704L5PFXmhPHNxSlm3tJoM68bDzlsAKldD5NaLX6aVS2DwohBJexW2LiJ7cDDHUonwDfcei+Yr5VVVmVSNldO578g3KJpy6l4QSQYV506y6gZTis+Bjl8FdO6l89NIxCmuIbGWUom4WbZf6shAzlLQyedPu+6Auv9qrTzvE6W+UmoXUw5DcetdPqjZgwCNIkNpHIAAaiulOnVNAfeOvYOuZS6tqk0x5hUT9j754FnH7DPqkSJEOgwheFPLMGHhb0h2TLH7nv0mLDClkgMwp4dzbSkVx7KSDlgwOVJugQOWcwmFrknhvLrBlEJAwFopRd7L+xxOCQ/i1l0TEnTzqIDOgfIG90d97JwUylKcMFS6kDl649OPq3/9ohvN3+cW11AwA5t/CDeOE25i6zD4LlL36PfeYVteV6XixL2DQ+/jjRSBw457r/kFVhwCSyZgpQb7KFcxg4RPsK71QR/lBA+qTB5QYWZ/T4+V1gkcab4F58Bkx1JKt93ytOWOJZVZjwGlinbF1u5/NzEu2XWoSfe9XMopGoV0zzhsy1tVwVhKMftzwFUpqS7MHOKi70mHU2ehXf4bA8m230Ae6qzwqmO2ANYctuYoWLdsft+U6NX3HlNPuQYffiQrW78e4TJ0vaB1pRxF1tFsx6rIPJcspTYTcJcSlbI5QUTopczIIAazduXKrq4hCge+wPw+9YJHVgIXWTKlli2aYk0vv+tys1/nukBVF5DMO+udAV0BbT63HZ3x00tKKeFiLnZBleutwfW/U7zk7aPShWkdGSvWRsjuYCCg2tH3RIt+/2KKe47SRMqXlGhSsCTzLmHcU+tn6+CXYb91a+CqfeN9oHOB+kqpXUxZ7nvgICW5fVnFBxSuWAsEBoAyt64hUEv/W/45xw+7ORREw+wm5p2qnZfK5b510X/0gU+21IiVWzrStD2QQomxyyax4XJkk35fmZTaBzA9Fb7hgZwTVNnbKPuOmeV1sck4HI3UUNoceHO6+54sxMC+TTmEpVCGzo6lUuh0dbn3qjl1eLq86V5YWQ+66rG4XVx0xcgkrYspRSNH5tBzbz6srjs0qW4/NkNuReHBGY6jvC642IL2t3F7RK5qjm+jSFrASislEhklh93k+LFzv1DgBhHXny4J2mbtIi6tAXo7Cy13rasqjChGFXeQfvCFN6p3veZOL9pSjCT+sJ1KqRxyB+1whEqbpvpb5WBKUS0DDZzBzG9iRcTVxVP4cjwC8CdOKWkxIFNuxumBFrqGwn/pQTmmMHFrAUTfy+Srpm5UAdGkpZTbJMVTox6T737OtepZNx5Uz7zhIMqfG8eUQzitX7tbpVQnb+u+ZwL7CPzFC6wjPPe/k97g+ePt++RDfMkl5RgmWoZufxOYUhq36xV3HVVTo0D5SNJII5LqvqcJDitnvRRT+MLybB3jMmu6PBB030uYkrBuvKUUsR6OZ9mpl0p331N5xMkHEq+himdbLufaz9WNI0nBZB9Jrq4pUQytlWtUMSYovsy3QHHfrXy8m6mPKbWLKefcbA9tnBBjiXO/YAWIGnI3ZSZUqM+Jvue+GWikblV+0UNsWj65h1XvhpD5vsL72oQHPIZBo1thZuNshy2lpHLL8sJ1RPUgAjusU+4NkKRgoWDgFNujdA/pPDM+4zRfufAcTClYjRIDiRdqYwQ3eO62G7p52NdWx2SUfQirKx0XYLswpZC1hirUZGvQ8CZ4UKSWLqF5zf0dVDwF6hf6rk70PVvYN91/pfn3n564KB9EArfq8Dc91JtqFeBmHB7MoRLWUwjVt6Kzn6BLDcOj4B5iSg3mQ9us26WDSpyeX62UTVbRRIVTiHGo0y2slODQZdowTywtN/PnrzT2jQKdZ2aVsw5z3BTw3HTPJ0DAE7p/aFdK330vzRUw9K58TMaQvfQKfV+2X1LQezyIHBCty599Ugh9Kq0n56JX+NFGybsYcclCspR+B/fHEMHahyyldD73XrXP/Hdhec3VTeCw0twLYStJ59VUnkWj7+mpKeIs0f07canIilRqwR5SQuXNY4k4+ZrrqiZcjKo1ZQ/2UWsTbv/GSikUNIgZp9jaYgqNSuUhV8aYOz6sM61ZzKNBsqxCZabyg0gr4dmO7o0x4qzTROxTJtgJ/Dcmt3FU8nn+uZIi8yV23WZX0fcUwPulVrR9otRXSu1iyhJC0QFQJbvvcfyyznKLmWaHBCTp9pATKuqGuC3rEH6fonGXBOdwufENr1IYAisEtr4J+5hlnFCp46L++MKMyy+9TRKIuLHY6EKhAVNTN8Bqc2BugyS/fYnqWkpxLgspbg90U+Wi78G8KA4QVfZJ6+mag5OqCer28E27xCpYtCLi7EKpiOAsflLKTscAqdeGNEwpUpZXdghrR/4w5AZi8+LmQ5taiVSXFL4yN4fgF9YyJpQP1+e+orr8e3Z8pFJKPfnqfeqLJ+fV0dky0hYkG30PWkqtWAUWce1qSlSU9plGMaUaq21ImZiwTuDfILGORvuSOy5T+ydbJmJmDFPKlEcsAn25IF53r4+ZbyQeATGl5IOtUlB1rz+BsoZVZlVKqYIPa58arU6nqwI7VO577KdMXv4lSMhS6oEbDhrlrsaTbEWsA4/OjqlzS2sxQynRPVbzGG69xwDgXV4qSuvZllIOu0i0Ao/suRKJkAOeBQ+pG6mHdAnX7SUw7KtrDk6of/bkK9U1B7oHY6Y1rGNtYonrY07uDq1d7m/OxTf0bewdl7QCem/H08K6SFO4jqVUkYUp5fPfEHEXmlKwgNbwgNA3grKqpsdN+UyeJ6VcGc/XytH1gM4LD6/3UrGY3g7qK6V2MeXMe6jIYDXKQPCCfvfcGrW3y5yPcWpdaRXCzLHIBraTTGJDzC+6aSVy8Fxf7ZQNz2IcoZDUTMoUZlgBnSP3PVt3UpeaN3US0Y1Q2rDF/MFz6B5SQPBvD/Mjn3KAzmGfmznpHTr470KHCWsh5LlBdZamM3NvBwHkLb3nG+82bnEHp1qqCeIOkzmXTBAUEpKnlOIspRg5CK5ruD5Cwxga4dDUodG3+Lxj8wePFcaUwgd3/iv/O1gnLSvSGiCg87YvrNe4JEQBNGCEMjgeMNqfaGFErLrsXLCk5+0bn3a8WjPIYqcDdA7BzpGlFOrb/Day9RXb0Zwwmsu+coqGay86UwWlg6ZX3VO61vzZZ59Az/XeQi3QjEsKUj5yZZUPAwYPrMtfqjwBFbMQ9BqSjQAG62n3dN1t9h29eKHWAZLCxFYftsNhBdr2p8oa/rMQppTu/297xtXm79//1KNsmpfdebn6mpsPGWWvDjpBLaxTFQESsd3C8rJ4ZqmHWeei7BRM0h4vue9Fq5OpbKk+C8hD5XwPuzvH8uT20fGRIXVtUxdUjMtdMAJmIC/LH6DyhBsmSSklzZlSLAv3WfhiHL9jg61YxQs5NYX4HPyOfpNyych9FyLIo3L3F86yVLIyfvp1B9QXTsyrzz56AVsiCW59KctY793CaaTznjkPBjCUeTy0+pZSOKpxdjZ7hvqejbuYcuY9PKixigBzW+8UH9V3wiIdy8Tg6M59j3/OKqXA/1OSoq1U30aYV/LtZebY+NZEhcj8tSCdbAnC1EJvSnZEUwDHOfynFLL5cQqFFOurFCsBrIQBrnowHHxNQbEbTClPqIUHwFB9oPueESJpPm5zt213rmQUgwB/O9kaqjCbdqKllM1vlgBcGxfMhLI5M/D4zWjgoBCYf+5An3bQKH/TNa7que+hA4zE/yzQORZ8IfYBxhisP5Zwr7AHCn3wg8MbNcsnmFq2OlAptW98BPeh4EZmFe3LIPoextZqSFqMKD16WEQjFAoaEKKQsgiStpKit+gFBSLm9r7qX6kgBkcty1Kq/Fc3f0Ny3yPfUpe6yn2vwHn6USclC9nCBzq3llKM0jVEnLVZ6EIlZLFjaWxkUE13MIOSgM4F3iVdxnDue0b+jPDIbshOxdXOhWsIxsIrt1LghykISs6zrrJuRFGL2Jz5OyroeUT7UvPXOkqOOuQsy1QWGLkmi/MFZwjrvhdwJeX+LgsL1zusOExRbKQrWLjvUHkm4icsPy2v2LhyisNUeujMYjLQud6Hv/8FNxoMMk1tCQBdeM5RzNpNwptKU0pZpVm+UsrJVelWlXuZ+kqpXUxZAnbCIcRankDhSgKI1oJLN3XNcd+T2pkLwi2ZmqbUIeU9LD+LJyXsnZUVgnHfc0oXv464HhzZ76GlVKVEouUKN9up7SvYjUUWSuL5AcUNGU+KjVMeeupRTvQ92AZOgIIbbkjhgCylmMOGzsVhSlkFsquD6ALWA/LHLa9A6eZ9BkRvcu5FcV6BlCCgRnWFg9BnSZhSGb/pYT20hil4Oeceq0mzcvitVhMh7ANYdhcCVGWuPuCi72kzfwnAlCupYKIR0khecxMj5JuCdd9rDZX70kon+l653+GymqCY0qMJShkW7T5Xpc/IOzVCJa1Havu0LOFbSoVdlbjfpszYNwnyBX0OwcW98gR+U10MVZHC8HdWWeV+xyylgFKKWMCmynacBUgqVlfI3YzWNeS+l6vskHBKQ3y+hhFn1H1PtpQSLnQjbZPeejyWJMR9hq+NS1xMJs+YgoW59JWw4boluKbKP2wZ8UKgDArrJclMliSFMhQJqVzWrXwvKV89VzT6nZhfJ72wHqAMmjpcsXSQRzWhOPGCWdD6WKW24B5HpkyUJMWTJul4N7BF7ntQcd/XScnUd9/bxVTHXF9SmECBEUZZ4N33VHa0IlomrXsQnDNDKWXcnoR8JK2+VCf/fdEjoPOw0E1B6NsJDFoiI1y2fdwiC4rsjZNgfRM3hZbyw5sH1+ehG5FCct8DytbUjSE03jngx1RYofnCs4p+v1EJufI8d0IkPtzbsbN9WCkoCS5RrzdFbs7muu9Be5oBxjpGWuPcMsaWUmmWcjlKJa6sUJqYZRQFiofNlCLxcYVKSqvBwQHRGqt033N91M0BBd4MWh5Fb7ERnqHQ6TiSZplmdswpoubGiVIKZDM+4rvvrXQspeihrqkbzKJhC8s69O+/8W6kkKuDMZkUfS/B0gw+Ll2FCh5TCqRrZyjCLAstBMvimHxBn+t5a+UcH9icr4udOzQKle2T9WT3vTK9bYfmg/awiK1IwnADNg/a9qDrOdSNiH0E93m494SVbOW3KkrSwc9XBsp52P2GYtfI6fEY6bLkS80i21079D7GY6nlENVf1eEonnxNLAybdDMWrZ/10GCoOUaGG6guEDRZRQzMi6tqCiQC/CyltbHIl3pdSQpprJSj7nvh0tkzVuIFM6XYuEoWZnVJOlPZWkDFe/kvLT/DukxYR0XoPAQTBMjOp26AzmEgor6llEx9S6ldTDnKj3YsrCYB0w5bShU13PciAkiAmUrrW46eIqRv0FLqin0+4C4svxuQWtZ9DygMQ+5J1JKCtVDpzIbg4Tdy81RbQEv08ZZSwE0D3yQ5c+cqZDexyuLq0gSmVBFRoMIlFHKxg9Ek6c2m5ypFLLkgpo/Ju8ebondwy/yeWkrZ+kJlt709Dyl0qvxAL9sobfoWNqw4qvcuVI+c72WLRF6wTsm3ujVk+DzEIcOYUvXniovkhTGl4KGBCzyA61yoy2aca+nF5XXvFn1uwnfrtDSJLKU6Silw0IndcNehmCVOL8uwBBVSZfqamFIZ38kuSn4a332vYFxK+fzRARqtjUTrKqGeEP/Gyjl2ztA0Li8/Aq5tT8h6Q4wyR/KFALmQD6RsQaWskX6hErLUrdKgPb9MFTqrof0PVFpSYvHue/Jc4OhtX3uzuv7wlPrBF94kV4ypl90byuh7woG6kKAvaq4NxvoJfwfT0roI8npk0XIBa+g6aoqcS2xHwRCpI+wLqtSo9igSgZcStUp0deGF1JTLl1ifxuRlyepHztZvK6pvDcVh7AuIVV5aoauuSOI1VPH+jt//jPq1D3/F65scZZDJKVBhHmM4FVMqTTkmBWqxefSBzuPUV0rtYsrhWfB2X9rkOEwpydS6W0wp7iZHoiITU4rFWilSTE1V8vvvf8EN6p8/42p13aHJJAErmG9CHbTlgzvw8UJx6HtIdj+HG4qzbJIVJfXG2x/3brAN4HQchkDtwPwfWQUG8goVnWPxQOUg2qZUcElsQeYrY0Lgnzot5wLVK0qx7guRsdaB33f+5V1K6Rzi8bYsWdyQkcHBYMXqYkrROqe889sgC6BobGk/J/NGnNb0T3UIxjy9CUspM/86GenbZFhEbP4XRBlp67d/csRzy+PWwngrgClFLASakhVjljhNUNHD9C4YREK+/DmPlA3mb2cJx9z3THS2hFrHXM44mUY60GFLqTY7t3xso8JzobftgfWjllFSHBg2+h4BOufS8e3hLKXkPTtlLXAXW0ZxJijZpMsQ6YDHWWvElAaUZ2mQ7re++CZ1dWL0OMebAKZUQvvLsm0d6y9uLpCDdCERw1/l8qCElJsdy0VrDV9+3xyjqiz+iKGQVAJsjuy+F4m+J2JKwXqRWkaaHJP5UtYmtGaPUbW2pPIS1pKfZ7gN9DzXrfJkWFLsVvVxzz7w+ZO1LJGqPIU1a9sgjV9KGy3/rVM/xyP7QOcp1FdK7WbKmPjQrFA6GFilDQ1tzFHzmFLyt7IVD6+UkW5O4+57RfL7qdFhE2GC3rJWdQjm5KePkXW107e77iYqki9TC+g2BRVOFHzVkqToSN3L/FttcmMnfldEhVMKwm5/VtGRQgVE2lAXU8q4rtA6A3e90G1lzFIKbpg+Ngt13+vtruiNa76tFGut0WLA971+Ytq2tLah3ve/vqQ+/fB5ZCkF6bajM+rJV+9Lql3uYT1XaYddYXH6kHKRizzGvfeAzkEZ0FoSKnNjxCWzB1XkvqetOZHbqVxfmO/ls2PewfOb7r9Sfd/zbwjygXGg0LLWORWmFOmzppZFLs7hllAd973MdVskvKgwmBgeSg9a/v7g5yemEX6XdRCqCdaAtbbQAVBgHhKmVIVLBKwDYfkUQypqKQUqySmlkiyKGavs0BzEWfLpuL4w1pWqGZIOflK/N0E2r8r9igkk4tLi37a2cUub0HP5Ywr+T+siybkh4vaTXllv0Pkfw+CCj6k1pe0L7Nrv55OCB+dZWCZCTkiUIl9BsOsqrZCffc41hcpzqVhHsTbgi83u5wO8GIbkFPb4OW1HBTCeaCkVGkMZ6DyadSWjdIcphWER+sRTH1NqF1Od2w5pkcJbzA1g4ymZYLdyMaVU+GAZMlXNUUrJQmqB3DxyygmWxzLCPJcYfBMdbisMt86ljB3AoNsUjl6nEtz3oPAUbl9I4MNWIsIYCvnCTYPW386paoOLjoE7oHRlKUVN8z1lkksZyhb2tf6bpoWCGAcYvLVA590VQPvc5gcVSRXor1e2n98XT8yb/z7ypdPq6+89VuUF+0ErpE7NrzQmlDUpeEgCbw7Oivm2ys+vH7yFhrf/qXPF4KGRgbO/dT7WMsZsH5L7HstCy4dX7R9Xj55bQu+ee/Nhti6HpkfVC249bC4H4N5BFZF0v2vOfU963uCk6OEaxhiT6QWJe65i3PeYaLf6lb4c0hYrByZbotJVcneiin1begqPgHlphZFVUGjlGZzbHrC6Iu570AcGvPfWRiKQOoq+l2kpxek7kt33Euaw/audiOMDSVJjsYdwEm2srCvMqzuye2uFIxboW398ZMt0SKF1FJJ5Qu6phq/WceMq/Ih2MJcm2ZRex5oePruUZCmF3fdwKivDYdf+8j/J+jYlsl+R0OYc+V+WT1kNE5s2CHRO6pNqwRPj5ZAnlYo6ua0S/4IUm5vSWnK/8b91z662zt67xD3Z8t9YPxeJQOd99z2Z+kqpXUx13fdEsNmOVICi7zHp9OcUkDheV7L5kMrXcd/jGKKkENJNs+FJ5ToGXwdB9nAdwvn4ecQ3OytoGqDzgDl5CJ+ACpc02huXZ13mar+iXxuz+Yjgzeh1KoKbBrR8g+OOo+/lz6tsTKlCdpvKOQBCS6nSvQCnhYIYrR+0VDFl1TjRUsDfYFqSfZ1pwrkQIfc9q5Qq8hSGGFOKCvxph74UQSZ4a0cOWKFDs2c9iN7VdSPDfFBPQc7qgQq/4bIcSL8lh6Hg5u/i6roYfS9ET7lmv/rwF0+rVHrtk670nnlKqUT+mkviRUmDwmgu782RB1D0vUjaomY9qKWUlT00QLsuX48VVfC4Mv38bB5cWo9HRC47IKaUicQ26A5h1KDajsMA4wIG60oPcSKocEEOpdpqFFgc0nJDRPcJXmkHio70ZZmnnz4EdC7NO6n53JibMRQuKpogOx8qTKkMebNqR01e7Cua5O9o2AHDn5mMcxQovbaUur4DYfHFk/NJvF7a7ynuYehCRAbLB+WQ72MUkytSLnFDyltK5Uhji3Hwkrg6p+YZJs+KSzpbAX4YIsn7RLJyp+W3M9onBUCqlFLMSw6TNIwp1Y37HpSHerPWdgP1lVK7mEKb9vnFNfVn//CEeub1B8ytcnUMEYQWeCMTxZRShXrBLYfVZx45r+6+craRQ2y6yTn8hnGdC2izJyOWUrngkVLdsl0iivS25gCds2Q+bsuYUl659Q7L9j2n5ErBCJF+I6BzGH0PWpMhJVCgjoH6141Ow22CzlWGHLY8xSz4m3EvgMpi341LviVMJb3+VxMlKh93Jb88aEFmCVlKBeZQiOzBQ7vWUnN1LKjKeSQ1J/g9ZXjhbGBdQu57qS7GIZcPBHQeOcTGoinZw7Quz956f/bRCzgNufWWSLtXfvdzrlOHp8ub9zpE8YFKNx38uwlKOdBvNeXsO0ur5UDq6GXNAJ2DvaTTCd6BpfDXeIobvw887vM+yY1Vqj+MvqfnbUgZZH9a+YhG4KKXIXH3vc6BDVjqWt6e64LNJQnLUvH8sZLL1VGi3ANYqgVZk2vJKRR5azhIKW5n7PtM16KQ1XMOFmqsPDtvUxSSdUgH/dF8RPMUbS3lZL94/0pA514kP3IhkjKHaPmx9RTdWxNcawX9UpCkYFLIUjBRWTKQZSklp9UXCitVzNNQeb4VW0okS9quJPc9wQXTPuPWdClbxWe7rUcdyCsoV7nAL9soCOxw6mNK7WIKbdq/9L+/rP7o04+pn/rDf0DMQMKUgma+nL823Sg1MK2OgPKi2y5Lq2tEsKznvpcXIWGyB5ZSUuSMujxJEmxgZMSQiajkbmfJqKQYbb7UxxLeQaobkffcc9+T0sU3fVRnkG8FRBs1tw/XIZWou5UPlIoVI6DKLJi9+ZtVbjlXKU5ZkXKTF6JYdMqmb7GhBRmHMVFZSpHvYnNvZcMppfCcpX0aOpjE6x9Kkqq0ZV0vhb/5fIoo3pp5p9rIvRW61qQOJTfmlVViUag7js2yPBZhh0XW5L1Xzaljc3Jk0xjRm/eybs0fdKU+a1IY7aVYe2F5zfyr3R9z6iHya/D3YMB9L9m6BKUJ8zXuIgBHgQN5Dbi1YuUczfc4q2H3TYGeW2WWczUsSbL68utry3H1s2skP/oePrwaLJrAHIxZndHnMCtZEcDnI91vsPIle3EJT+WqK7J9YscoaCml6q1teW2EcTR96108F9lL5GBNiMsymb/dELcH6LV2zYHSWuoLJ7S1VFodWaUU2KNcmb7lsV2DlKQLz7Ifw3WJ7bUp8lV54ZNmjeSUGfw72NepFuyxIaYyl+g1QxShb3z68cpNM4R95b0nv6VWtNNYZ7B9stV4PF/LuutgSklztk889ZVSu5hCB0ONrwLDa8OwttIihYoPz8ojsKnWoZxbMVkpxR1A+GOPzp+G0E4tJ/ReErBybq1TXIqgFVvImvyZNxxUB6da6vm3HGbzkt3f+PKlUPUxkhQKegNL8c2XSGL8UPBzczaiOAhgSuUQPZB5yiRwexKa57CvS6Bz/N7dwjCWUiSCWx2lUV2XRfO7BleALkQcVl213oo84RFaSlHlD6pzIJuU1oT6OAZI7uOIxHkA944mtV3j8Srtvle5RmAz8xz3PUqVVaJSxhL1m57su9R1u75yiAae8F0jm5EWU5T43VJuVXPSW7lAu7QXGfmm4DhKQOdpES07+4agnKEWBOWzPLdW6r6n+V7ICqKgEdzWsaWUTSC660XqhqLvEevfXNLfhA+JCXyGGcuynlL6vJqyyi3ibtz0oY66XtaxzI+uk8T86G96SYfeFxJMBUzCvXfP7Pe9tOK8Yl8ZpOLkRYfZmAIkT/m1Azqnbls4L0n/i9oY2Puj37Lv6+0jEt+zWaSEEEh2CSxS1x4vn1uic+72ozPqxbcfSb7MlM4TVLlWYUol9AGVk2hZknV4o9H3mKywXOVftPYJU999b5eTNPn1jfHymvO1wMC2/EcVkCdzC6FfJSqzaymh6txcsT7EQp/o8qdiSqmICpdjepJVWQ5TQvuo8J29uVgz7nsy4xsfGVLvfNXtZpw//pUz3nsUapdRYtANlEa442stt8kXwLCAkXuIg3sGVpi5Um1UJWkuuLqoRogqPmi2VMDivtOEbuuJ8k4TdPGgZVBA1NSbtbrg7h4PqdGX0HqTtZQq4godjlbWN1hMKaPMg/2vusWUSn8XVoBp64bQvMZpU/LlwI5tfxrBCfCQ1GEPWYpS3B2UZgtvEFlMKXSA6y1tr/teOlnFrbaUOruw2nUZaJ1Z9z0GdN77jlGu03Ikdzr4m9tn2HqCNWDlHK08g7xTwpSq3PcqSyn8PtFQiq1jpZRCyriiEbxOSCElPZdfkRQ1j89HcjmyiiFUr4jldrfKXpvfaoL7Xk4AHfxe/g63J2O8hMtXmAd3oOcsb3sZkddecCKIASEtfC6571H5JYSvKaXzzxzh9sfwALE1JZ8GusZbinU7t0w4xXUz7nskfyF5CR8BvCoGCvWsGw6q2fER9WeffVx97rGLVVpWaWpd6ui4eZhSVhkUaxmpN/uuqH0WW1hdz+pnrk7Q4rXvvidT31Jqjw4wDbUK9eNihLfqFrEdjDxSZ3MLmmZH8owp0XA+PJ8tEtz34phS/jNoVSZh18QoduulgGCiXdNCQOfwOfcaYTLFbuACUQSjU0BQcukia0AksPWnroWV+94W31bANtrNHBK03ILypdc36GDk9z1UAHA6IbhO6lin5GBXpFgrxOhjjNKUjb7nHThVGtD5IMEXIv0WtnQKlxFLE9PZeW0SLDViSijahvGO4n1iBPM6aJOm54bFVrHzLO0m2U9URSyrDugq4r631ZZSvhtHTy2lGmQ63WATppK+qIkethNMDuBjOweGyWQokvY/5pmXgObru0wjt1YmvLyxlKrc9wovyASkam4TS3J6iLWXITGiIMDwhh3tD7XkLN2W0PsECw74d5GPBWVJ2oJS3ABtlt/xrGtNUJ3vfe51qhuyfeJA6uW0sjIlXz6034UgC6j7P1WscOMZmxqwvK2wlLLKJd2/MWD4EKYUq9xiZHrJKlG6WJbOBVlKq4A1pSWomKjKjsynOheIEsXmhV+3QO3IPNS/77piVk0Tl+8QfiV9Q1tqq5OEKSUCnReB6Hv+3sCRtfCLG0qxp8vOtxpapXzSV0rJ1LeU2uUkCS70xhha14im7cAM0X3ng9zW2dyillKh2yJho5E09FJUuskY0HmdQ5kgiObwJCz082ncLW13VgfI0ijBhx4dNjJU3PIBJOwqUaaR88WYUvgb249WoCldOUOKh85morojfCDz5x9ce2FwSaCUYlz9rP6TgjfbvOH3qa4kkGLzQSs8FlfWG9t0//vfPOLNK6hUgFEUIcUOayvWfY+AOOe4DKe0ri6wrfctuUlHeCB0nCN1etXdR9WNh6fUPVfNeXPQ3eg5dyHnYqVfhucM1yYqhHFjA1lkL2/rWaUUORA2p5RSO899r4bKL3ZRQ+uREl3Q8hEpMlO4LH7vrt6zh/p0xbV73kbue7CqdAyrQ0/BW5JXlyG1cVGA+x5USCcOJ03HW9bYtHFZQ9qfJWWSWE2BnViFOK4XX+6Tr96nnnR8rmu+MZCBKZWieGXfh94Fuj0WCVAK6GPpCgaDj7MYaoL3XjYzGldKVVcgkuKmLZ5T7MUYAuRm1rM4F8V9NH7xEsWUSnCtzZG6oFLae0dKaM5SClvyiIpUosQLdQ1/DrP5FMFxq5RSCYo5esFEy2LbnmgJfmp+BfXzN9x7TM1NjKj3/a8vRb+FFuh2btfY+vYM9btml5PEVHyllE0vi67IvYP5rsl60gNw+HavyDOzFvKYag13dSjn6gGVRFX5mX2VICeCyD+bGQcs7oDo6nv94Sl1aLplol5xddH4FjCHnNDq0qanm5ECXIt/h8uwdavmb5eKu1xCm/dACDspfGNKhXJPMIGYUoxLG5y/dcyQKQYMpRfeehjUnT+41SHYFniQdcrFvHXqLKW0UgrPNWk++5WKtyd4rsmY0/pPCeg8dKtOSQ+5FqSecf0BViEArUSsC5I9BKQIbkH3veo2vthWSynfOg4X2hQ/SMFL2XKqUXYKphQqQjrEgL/tHPDd96SSuIMGrxiR5Bf6THbfc4dee6Gk1x7kfXQM7e9BL/peZ48jbuMxcpbM5b96eVRKqQQXISm/8u90t+KYHEhJdt8TlA/CEZ3rJ2oFgf/uflFVY0f4FUfSq6hSKqDMCslq/uUa+K2wWz6kH3/lbeotL7jBRL8L1TUHKzJET712v/r2B65h38HIlKHo0JqgyEyts6FyCxIdL0kpFVaax+T74Osk11q9RmjVYvOGWyf0m27d22z/5eDepQRCigXIoZ95SqmM9hXieUEFLKXSLqKspZSth8blfco1++OVInKVZW29vny7lKlvKbXLSZr68FACbybojRTKCwhJ1bfI8QOny6qnZ6UQ/o3f8c9Fs1EmvZY5J1r4wOKXk79p2UhvMUExtBek9G2F9wU269gocFnBTUkf2n/ylRp/iv8+fINXj+lS8/SUXKS+o8qtauNNiDRJv++GQub3mqA5e0ixh3FNZKBzMy6esoK4rDRoKaWF0ZffdbkJ+fzfPtmxbqLlZ5fGfwzrYC0ZOBfQdEwp+J188AlUqV4aZnxC30oCrwS6XIcc9g2wEunsEzTkduh7CXwf/rtTMKU4PtEEyZY4zTUwN6c6JZvoe5E64zUUT0QxmKokgcO+d5BF+dH0fr4hpS8XsdUoZjtrQMtKkO/QfY+6h1hFrE1m/xVEAZGguznEbqF1jRGWH8LWGmlgzXwdJKWUlE07w1Kqm6AqKeRA6lOi7xX13PcCz7E8KMu+nHKO25f1N5fPjpn/OELzOQLTkEJ6jUgKKfO+w3e1fBpbBnAeUZgRe25BllKMTCW67wX20Vib4+57CHuBJa5aMtC5f96SKP2SUTg/FIXSI+MukUKp47ABkKibdpm+YPuUYvBaOTXEW5BBRaAicjR2ue46+NXCyjpw33NeFql5QbmqjykVp76l1C4nae5zwrnkXgTfUUuTSljqcpH5giX+nRoxBpJ0AyRFI4mFvI9uWkx51uIApSM6g5hlBxJCxDRY4ZJSX+415P1WkYMjKxbEfS+hcgzZJtM6UoyEbqYVVW65zSEvNHeTxAm7FaZURKEC28NhSmG3REw07WTEKjAVHNvW5dDUaPLNWS5JOVXue8wcSrKUYqPvJR70UpIVXbhSoXoRN9lQvjW7Xa97K4hqwcsqt61AmeKay6Wh+G1RS6keC2t036P4fr0WFhtdF5l51elbbSkVzxf8nbB+JN4v5s/8jdYDtBxklh2H4RizZEMR70hQCbrPU0sp+rzIxpTCv+EBPCXsfGx8QgfYlO1csuaVrBly5x0XSIcqX5pepw7ofLO2pVTsMiSIZxTod2oZS4Oh5AQgcXUNK6WaJmvxpC3RHA4tT3B6Su57UHHJyU0y0Ln7m+79aB/gFH2RfkIuvsL8LHGF0hRIReAC0YeASMpS9ioY4C2VpEs6YymV0F5NnHsp5Y1K4JG2XSl4dea8wlRDAlW3z0KYmYenW+bfU/OrRKmkkonjkb1fcZcu9S2ldjnpBcktZw6bJWp5ZA/10H0v8k0qUYbhC3hyAdIrEeicSZ9S/5jAHbIUwPlg0sqw9Y2NYMmpbYVMPYpbA97rGyhtEh1zpYFZUtBufLgLFg1ukQsPH4xaFtUltBcCDCYMvlzINy+1Syb1QJu5b+HkwsSGlXw0AhSd3yF/dZv0Xz33enV+aU0dEbAfQhQz88e3+PhdU8pF7vDiHzhVsvseLUc67DaBz4PLovnJ+eu0XCRM+jf3O5XanvsetpRKijbIKZxo9D0mTR3Q/aYwpTT1ItT8jnTfyyTdhMmRFPc9WWHjUviHYM/iKFAP9zd/sIBpOVmCfiYrXDpvjKWUc2ENKUSkW//qN7gpTyF6iILfpVky8fnZqsD1dtNlUyhSVorVIL6kylMEQJJ6Q5KZci2oc8iOr7aK0DQ2PMj2VzcySRhjEKQrQvJD2oVt9EKSyHE5dY3lF8eUCn8DZVDqZm73bKq88CylEjCl0HOqqOtYDuEy+PpW3wCBU0rKViuSL48pRdIk8hZp7rq9H1sCUb4NAzelBgiRLjPLcsJWki76nqyUshbchWhw4OovvdPt5ZR/Oprg0OCiaffZxVVkPZtKsG9tGX1LKZn6llK7nKS5D321lzuHNAmPhuYF125T5ogxa4ew+x7/Ttpsuc3FCsjaXFMuR3wlvqfmqKYO5FomdtjPub3MAbCGedkbKRS9LjKmdLORLKr4su2mx1hKNcSwqRBLrck4BWUvXHlQ/kbphp/Bm0Nqqg+JHoxCLkKesqKT151XzKpn3nCwVt1jmFJYsE47cHZDleBJD6GRgbO34Rro3DPhB+lCuaTMjbAina6dcP7SzXaT/QqFJ2spZdd4Cn/nXfPIwX0glEb1nKgw6d2QX1KWUrll56UfHxligyYE65RQtoQvJipBGJfm0Drl1k4Qs435G1tKDSCeIllESe6I9mmyUqrA/8KDYD1MKYW+h9ZvP/jCm9RL77wMJIZ/SgdY+Lf78eDpRSE9n89NR6ay3PegvNG0cteOrxV/xkcG5boH9t0QhZR8qfs+V2YsSjJHoflch2LlDbHwEvxHUIalbauUWzT6XqJSSpJRPEUfo0iJyRU4GAKfRst6VPkh5er043G+0W7IrZxeyErKS3qGCU0hfn7yewC1fnfR9/i8cZ34eVh0AQGjv9k/WVpLaRc+C/0wOpyhlBqAeGK8dX+fHPUtpXY56cW2GdHqayyYmNKGHlo86nKRxQ5p4Y0501JKcN/T9FOvul198cS8+vd/8U9J+aF6MO/hJgzrQG9lQoQE8MhNh3SrGiO72UPmz31e9xDvkTjH8sNeS0mkG/QK84OphB5jtzE2s3P4fYbzlfo8tAZKTClhLjB4U00I8ZLy1LKDENBnN30p3rQLFm0xfAhrKdXiQK8BhfJIaU0oTfQmG/1NI1Km55NKui/dgdwp03PChXN8DFslxqxJey+p+WOc7hrZBDXpKtOttV6MrPJCKkffIj/zhgPEulA17r4HI/vCm+0Ungn7XL9zPKOIY0qBNZBkKUXG1q4H7jIvRAX5F15spYApS/mZ7wcKdXh6VH3L046z44tlDSk/vu8p+LSUz8+++k718NklddvR6XRLqQxg5TpEx268cznJYelJZXdTpfBeIUtZRU1Lpxz5swlyllJxoPNQBGiLTUWxWlPZKnX1xVGfQblFHfc9aCklyEoMHwhZb4mWUuSTdN7Cl0X7mauTvpRc6Zwm6WVOatRopkJi9D+DpUeeU5JcqbkyuHXrLsf1v05hBOfoREdBvby2UUVupgFTQgT3FNuMrXCZvVSpr5Ta9SQdJN0i14stJRII1Pi6fDrvutzY/EM0EfACwm4M/Nt7ztyC2PImW0Pq6oMTfB1jSqnggStQ39gBNXCjQ8vGAJCxfH1LKQx6H86gxJTi84uVbevL3Wo3ZaaPsKmAshXi3HAKjSbKluvkK0ygn3poinkHI3Eu+M+akDvjmGu84sS866Lc2Dz0llOkMDvFtaUUnrMyflqsTD5N4PvIE7rmJeuEJg9ntowSU8oeyB3QeYy44A2++57/XRUsYwvkNE/4jhz6mqbtvCHNLdtaDUvf/ehLbzaKqT/9zOOuDNHK2p+zViEYO1DFrFeplYmnzOcOmEWetWDIQsn+pmJFpUDLdoWyHxbYTZkEoUnNlet7aC0LuyfFCjN3HlE+qCOA6v8k4pRbOg+0dhteR3RMxzvue7pMIB4Hi47tU6IyKyLjYYB34iZPFKbRSjJ14eThXIrNcRw1L8zvoSsatca3Hh4QdyyECUQpdKHDuRjjb+PysJR3N1GPU8DRk3GqInzP5Y//5S310zqdw5SSyrXjai+HnaVUimuwWUmBejBSV+FffFiFmM3Ryr36cqBSSgmYzEVEruoDncep7763yymFOS5CSynBBJJqfC05H9nu6hlz16treklJP+KiQUiHvtQ6SPWQ9gp8DIocuoNvO2UP+Leqse9guRZrRQKP5gVY/U3aId4vm//GU0p1Ma+ooOdwt2TFHVI8NrRvYMsv/z13U88Vn2oppYVYLzpKF42xEXzuv2ZfMF0IDDin+EydLbm5D0dgoYIyVaTBL8MXfPEyQtXIVaRJkaeakm20YqiAB/KOcGgPASnlcMoyePNJ616VvYXgn3xkNvy7l9TtDak9pM2MD+crBzJ7uBr7nDIS9g1ZqSrwM6QoYerkraVC4L/xdTPAuO9pxWwoWpltwyCDUQfzTKXqoFRgd7Zc61MOy4WzWhBdxxLGMoXX5rZfsoqoYyWWSnRMxzuRmHnA67qXFNLz8AEfX675rquse1SsLhGroGyKZGHnor7scPJO3H2P9otVblG5OrUNEu+hl3wcn47BCGFAeqE+wFqmShupKw90rhpVStG2VekagA0IYkqR3/YyzJal5RJtNGGt2716E/mN1892+DO3bqtv+Xbq55VCdX3TWdkLSimOKrlqk4ki2yeP+pZSu5zM+mL4FWSMS9BSyliU8CsGanwt2b+6xpQivykDycFncc+5cvgoeymHhdjGl9oHA5kHoZSoM7ylVDhj+Noy2dPzq8Fv4VPdjXUPdKFDQay96bdiEqaU7J4H98+m3GPQDRyjNJGAzmk62C9aEJWmLHdz2M3y/LGX3WIAYC0WEyXHA1RDRJhWJF984OXfe0Js54YZCfhbKCnEMLeoblR03wuUQdvcjkXfA5cOm9ZSqsMrU/BSqOJBu71QDIWQNelWdb/uS2jB1WvryMMzo+qJ88tVed3QD3/tLer3/vYR9fX3HlO/84mHs77NLTp0w13mV2aYG5iCHgYroFrxwORPeEnJRc6WxNpPH3hx3aU26WlrlUHUfU+CGvCA22sONXYpcaDOOcFf3vTMa9Sdx2Y76cA3EfyhIglTKq9hufuohClVB08rlWibJkbKoxF3nubbkzfvva8DclQ4sAW/TmN7WRQyouH+He7UUUejbkfKgGcTimPJYQKW/6bK3rJci2RbVu4MlzGUMD9TXPFQpQSFE/0k1QBLvMhkLIhpOdQSLHUNhtz3aHXspbqtp4aWefOvf1JsH+Vn3BiFZA+3nwAZnbTTGjHoc7KVG7SVfSpB69s+plSc+pZSu5ykuQ8Z3VKipZRduFqb/cmvnlXnFlcb0/zGLKO6DXtrST8KAe+V3wn5xW5KEjvBt2Kpf9PgylYMppRKJmqOKu6T4IU+sKakC72n6UoLoPR8QuSZvRd+1DbPUosxwaYb4sGpEvgwmcgBijYJblTJ7nshSymibCnzrt+RWhDUbjoxwNrQ4TTLio4kjSpEImk5gPYWiK4E50sqnllKd2ZAKYSJYtD1AlQKrBfkupSMKYVHuLrpJO7dnLBfzf8tsZUKu5b2QjF51b7xKO5OKl25f1z9y+deX1kv9pIoJpLIw5lnXlrwN1aS8Gm4esA0Eg4SV4ecfRBaSlW34sMDOPKpN38K4SKt82+m7EL3xuqg5h3A5Dz0HjXWwULJspRKYC25Sqlc0U2yDEm5nKtLVL6cCFhKcUWntDGkewh9Tuc/Ll8AOo/UpWkX8FgOw0OFhymVMv5064YBmupdCPNyfnnuKboDOk/oU235k+vClxIfIQUMPVSvlIt9agmWuleGYB9ofVxwifL5Zx+7EJwveAzD6uJUXGKsfCuqs9F8JzInF7nZpZfz1k1rCu5mN1PfUmqPkWb4ZfhLxWNKhbTpnednFlbVz//lF9To8GDFqLoV5mMH0dgiPn5gQn3l1EL0m0JQ8qQIFXXc9zgqb3N5QbDuDaGtG4zUk1IPicmmRAoK3QxHrbQ4N4zOd1hI5sYwraNpfWyY55U1ANYYmHdcKW942nF157GZpPK5fLgy4VrEN9VhoSdo0djFwUwimsXTrjug7jg2o+67aq6sXwBTIYc95FYVC07+ey1gUlwQTqjIWZfd8ruYKw4+dGtLDT5tkxYDUAlrD8LDNS2lpAhlXDY1YDa6IhjaOnQJ0xRNjw1Xfz96rrSYaoJy6507Z+0+maMsTAGBxlZ/8bzhfu2ss/i8y4MJmXuVjBKvJ7QWXK4iLQ2qGTCGErgutVipq2St1krntwV1pvtt6tqPKSCwIVp4/9uKeQfLgcD03IVRU0T7ZaxjKcVfbHLPEgoR0pjLqMCaoO7/cIyMy1Ki4kx6vxXnY3sxpC87KgxBIS1U2tALJX/fLoJr4Z6r5tSj55bU49ZSFX2O91gM4eHnFeNVKe5tOZZSdpzbCd8kBvaUrVGF8xaca0hZkyGnBS2lyG97YWzLn192iiC23qROvGutnSPyWQK+oevJKtWsUkq/j+Grsm6YQCHZV0rJ1LeU2uVEeZVVNkAwQei+Zyw5IooPqMyC4ey7IQ8HItNS6kdecrN63VOuJHly5fCWEyk3R9Hoe4mMxjB0QRDkiJosh8pGIN4ZjE8C7vOpIKDdwiEklkuRtnkUPYioA/MOKX64Oj7rhoPGaiiHYHQm7jbHLkXqOkvLp7gmoXXKYXV1S3Ss90+MqCcd3wfGrRlFg6+QTq8XbynlP7Pm12jdZ7jHJJ1BMvq8CGB+mEMLvMVF66MZ4Ubzcdv+0lLKuu/ZA324HCMQBpRlFb4OMxaVoLZF0gh1h+m1gKibd/3h0prwyVeXCtwmqNfupsGoSfDgEjnMlcSv0dgFhJcm8p6rg21HisLZKWbb1eWFdm2/bGYsemHmz/lwWRJRxRuNhCnVA+WRNab8upXHQyyWr0vNaUrbRy0Yemop1bEySwXJT8IYFNJw4Py4PMzvqRI2tk45Crmj9oKshZO2FI15V0BjUi/6nuC+J1kjPvP6g+oKYKkasgrEChjmjDCQrzynpM9d1BJQDg5B90c5f3ieC5E00t7ZpkiYM0UDmFKipRT+LZHvuu2XZZMELaWQJSzmhyODWEGWgydFxwgGNeoTT31LqV1O9HBo1/hGAOg85baT5t+tYO/xRO9AHv6+jM5CgUb5tMO1LaVidYjnYdMVOZtdws1ydcObEV4dMvBUpRQs3kTfE/KL39RZiZ27cU7PJ0RUwWQj6lTlca4MJGJfE1S5cQgCVDtRkUhduMS5wCismpA7Y2u0WyVOHUwg7x17w+fPbdZSKqOiKf0ZSpLvAsMfHHOEm5ii0Galu9beWFYH+kzeJ7kacfVNveVtijh3sF7TW55/g3F3PzQ9uiXlaSB0SrmCcMWHM8Y+xQ0ELj1spVM/qlUoD85SCqZrM2nbwFKqNTSojswMBawcpec+L0ohm9p+V1kPeGsq7bCHQt2z7nvg76S+rs+7cr+DeGMhpXe3ND2Kj0Lj1lIq4u5YPUsQn6Q608N0aF+lsmNRM1Jc04r4WH4QoLzCEBTmEVTaeEopAWYipGTG+6XM+2Eex/ePG48QjaVZ1SXSxhSPBhNRLlBuMP+iUA6RKx/iw9RLqJgnL1oLIiLvw/SpcyikNKV5UKDzGNEgGKnK3RDvRspFMHftXEi/wMd1hO57W4lfeqlR31JqlxNlYVZTKwKdByylOEZhWWy3QkLMXa9OlBfpG870MiWilSSM2u9TGY1h+BlMCR6qxboJeBbBeoA0yUopVCYdM5iuyBK8y++5w0P9iUXrM85gbIQs9JreN6SN1mHqpPehwT8S5ynvFtkteVhokTWL06aX48/lIijkwNdcn3BCkZ3vVGBF8ztQ5267M6Y0pNlLeCpNzdE2tLbUYLSd/cEBnYe/LwXCIuoOMLDDMKVyhOtuSM+3phVSXLUnR4fUy+68XL3txTd3nb+dc1LvOJ2VfNDjnoesE9lviaVI+Ux4zyj22X0lYY+3sAajw9pSalTEBYOWsDivcFkike+qg1pA/hCy6PwN1mVEgYG/E/LObE/d1UXxxrD7ULNrFlrC6T6yF5ehiF25FL5wgvnjdKEDus6yHt4q/3evCB707fqRugO77xVdYUpR/i66wZMLVo05+a7X3Kl++CU3J/MqKUIuJG0MkGpFXtAI50wU5299+tUmkMYbnno8K09KEm+R5P2cORMKmBEDOo9RyjmxSDBskBSXus1WKTW/4i4pcoh6sdDy+oSpr5Ta5eRFYGr7txHLHUsp6cbPEve8Kc2vf9OeH/I1BUBc74ecOxw1kU6KUJFwc8cJDN5tV6Rt+BYkbWyKXKVUoo80rGsZAa7euFebHtwMBpqNskMPKxT4lev3plwHuTy5aFXIfY+aHwcUF7qvUtxdhKxqEXQp48vNB95MU37h919391Hz7wPXH/DSc4IjC1papZPnWujgk3IoylHSxRR+eOx7cziz2cLwy/ZQkBKtCSaRIoXxe8gWR98jvL7X5eYC26YSN/YTrSH1yruPssEYcueKVUjm7O0p+4HsvifUg7Heobg6kIoE970gHh8JAKMPIbpfLZ24yOOCie57Kkzf/sA16slX7/PqVgWWEYDOk5XmgXVZ5st/l3o5F6M6ShOunF5G3zsClI56vdq+5/get5pT1kgoSdZeQfhXHaBznEfvyUbfg/uLVG7QfY/itlVnFj4vir0ptbug60S7RQ4OZFnnJWFKGUsp4r4XUKhBZQZ3RnnG9QfUT33d7epw4oVHkRt9DzymSuHUNZiHKcW7KktEvSpY19pqjsh5QkMFip1lrfPmV9ai7nvcHmuzs9iAsbrsdeorpXY9YQZoGdwm674nHxzK50zuDUXf6xZTiquDzvOnXnW7+r7n34DMZ2Pue6nCWEq0jR95yS1q/yTGIMpV4MH6ptYtF+PARiOzpG/bYxRS0sWayAOu+vOPyye1+6iQYE3yJaIbbeO4FfawQZ7DM2vKPLR5hZTHOZGaUolmQZdk8EY3R/Qtwg+ef8th9eOvvK26HUQKG6ahNqQvJM4tjVo7xpRw3VCqJaGdHxTngE3YBekyoOuS30+R+lI3CeEAzU2RLgPSZRN1UepBd24bhfRfcAg1vt6PvPQWE81PotjBoJrDaNylsouociHlMohLQYMC+HzKr6cYaAIkqqLvkUPIiQsrfD2FW/sY7737yllj4ebqgP+lOCtp7tJ8n4XAfmGd6ZddKYRq7NdlOeTAidZtsysVWorjwCOuHH0J8gMvvJFVMqfUpkhU6NOmId5PXPP13+y+m7PdNtCXUXlvQMNruAh8oXJDllL6ggm1P3Jm8fYlQbakF4I5wRHYNSLwQa10SbeUKtClZV3lLiRReSfIi5hvY4+NVJku5FpIy9VW2rRcSFIAlZQ6hfoPXsqjOhVFJT8uVJZSmYJhgRVuZb0vdUmjd9RXSu05TCnffc9FPIgoPoLue90tMv+WkTCfFKWU8jdzfYNwy2XT1TMt4PEghmHBl6sDzEbahLTQ/x3PutarJ97sVLr7nli38O8YWTA/G7FE37ZzBMunYNtYWEgjTmDmhI5cosKI/k3d97gbdm4z7Mbqx+YLy6NFPHh6QVQmSVRiSuUr/LqhuGKiEPlOavE6imaRoGy+fHbMCY7gHdcnnPm4w56Svw1VOaU9ebff4d9SdKZQGTnzVqflrC0rFy6hGOm5dEBnLaUq3JitEdSo60rPgc57lC9fbbk0xLsLpa4+MBF0RYi573G6HhnM2ZF0SIzVA2Yk7Z8cD+csllKwr2hQBGvNpJXiHMmK2HAbS7dh/7Bs/7XymbemAnlSZbsl1qpG2Lfhc4jlQ8f42JxzfWProtKIHhopXkwKtmbTBOvwxqdfrW6+bJpVKqTUR+ah5DIkQzaVlFI5clMvLqxCygnq/koJenFwwUc4+V0OuINlKlFBRS4krY4ixbrSfYPzS8aUEvKzxdnuiAXhSSFR8Z9wqU2xGFPrwI2XRDFMqZDiuvztfxOSPVwdC7Gd1rPGunPnYkrZcuG87uukZOorpXY5UQbY7uwHECgYanDruu91q8SPMZcU9z3J3QluStpSjBPMJBPfUB1SD4fcYS9HaMBRPRq0lAJJIKOV/PbpNxSbK2cKOAWNLzDkbr58xA0q6PmYUtR1J4Zr1i1FMQkEE2rpoBGyaPS+zauqmG8vBd+vufmQ+p7nXCceKlPy5oQZ7qYuBRw2FUi4jjIl9kkoemKKAr0O0S7RwmRcoCvY+SjdaPKYUjCn3hOum6xY3+mUW9WcW/8ckHupDInQIZFYrXHEH7rlMmlqp1iNrxuuX6zi7tuecbX6Ny+/VT37xkNJ36byBcOvA9Yf7qA2UCt/mCoG3C25r0NrU1qstrh7hXCJlVNP3/Ia/91LvEdN0FpNqpMm1lIqRU4RFSdhC+nQZUmprBuoVZ9QvXpxQWAP9yvAPZwjiL3jR5zkA+FIMoIuMhadF+bjvrOuy/BZ0TX2KxdNLn7h41/a1B0dyfqbu6CNRRdMV0qln42cVahwBvMMA8jYMp8VCeMHzzIQ7kHnScH1Q5ZS91/j3LBRvRKe9amkvlJqj5GzlAJKqc7NhXOfUunuew0tsqilVE3lBCVtHsodUpnL2Kw6htpPlVnUwijWdxADq2gSUwr8PTLoFDYc5hZXvm6XeKCLli8z6piZfspMo8KLvp+i7ntUOWh+92CvCOHpUKwk6YabI1FByUbf675hMaynbkjX+XX3X6X2TYxkC1wxhTInjNhnoTUcqgc6sAlK3FD/xPrSF5JhPdPKyCG9HdC+g3wytifof4oE4ZETiu0FyVbJaTFg7EuZOkY1AvnrJNT02CGMYh/BZ1Ja/+9gEV49WPczclijPNRFwYPP+bJoffReaMvXBxcdXj50AEZ5MfXjyNQxULf1Gu57OH+Vbikl7D/w0FYwfTTHRHu0BC0EsiylGLnJUgOeTB695r4rzL/PvOEgKMcviGtOSnVS9xP6i64dyr84Q5SdyNGs0sZaSknzF+ptOMuYvGiDhXjJiRXBcSDv2HLD2GyFqHDLxRi0PB2DtGdlEefPovuee0aVgan7Zsh9T+bD/AvPndM7JwbOYQGmAWU4imFI5TvOuvimy6bUD734JvWM60qcU1wnv7xe8K/dQmGQlT5d8kT5n8OUcs+cj3f5+/ajM+qagxPqSydLtyJLrGtTBSrVbU1xBhpYVBdXWWIlrGLPuor5Rt86ctH3Um7hQkCjoer5N19ECFVhSgmJLbnLpBK0lEo1T825AaFUbXroma8oqDutqDm2nkc6ihKcU94BpsaBKa0u8fz0Yee+4/vUx75yVkxzfP+EmdOHplsJB8Cw0qMOeYqTvK8bU1DnfKspZhlpSStMUk2sU25QQ9/nzi2sNI8rATTlyL5l9D38LMVdRjrE+mMo5wOjT24FhS4gLqUbTK6qqS6bKfPPHiKjvBzlG89YwmJM2duKCH4hvWiQDnJSPela5vbCVEvy1KkkWcLY720o8lGC+xgaQ8ndd7CupRSxHghhsmj3f614+PTD51UOhdz3yt98nZuip12737iPHwZBAnTAgH964mKCpVSKfCrz0JDFYOiyRHJny6Em5JyU9o8MFUnR9+AezFnPcfKw1AbTt8K6p9bORcQzI8dSSkpqLmAotIHswFd+0+mPFPfAGElf+e0tvHLqRr8MzU+xPpJFV8BSquT9TBnMuSJUR7rf0CBQ1p0b0tjwoLrh8BSbdyygUp8w9ZVSu5yokGoZHDQjtZgFdp3o0NU//JJb1Nt+99PqxIXlsKVUu5lF5t9QFmpmbESdW1xNj76XIBS2BeBj6XCF6ygzxJDSjGYXAgiviylFLRBSRsMqI333vbQQrsbiK0u95qfEBwX8L32fQ7rL4Hi1O/08NjKkFjtCvqdkIYJJU1RF8gnMEQ67h6bWh5L/+5vuAVY+Ul7dKpB48vur/rdZ5dYBk48cQO0Uh9yxrvumXi9LygaLSCN/fMK8Cx8sVS2KKSx8SyloHSEcqEy9fTwq/+ZVnrOMR0NPiQvdrUGMzy+tR/FxalGPou+FXCH59OFvcw9h3G26lK2UJqUenOUs3nXIr4E4SHoqP9IXGXVv92OW5y4/anFcoH8t4PqBSRxRMag0V3nRgGN/I2ttJnMoP3zNTYcMXtn3vP+TKofo5QFVGiD3xR5s1LqMo7N4/b/mvmNGiQItILg11t3+hq2fKFHFLR0jPqJijizWfWcWNSylJIJnE6rQkCylQjK7pJSl/IC7aMrhVSlKUxZTKsIzOW+UuvNN5F0JllLH5nRQjNPV89QpFtpHxMuBGpZSFD/MPZfrYZ8MdxSmnEKfnoe4SOWhLb6O1d1epkvCfe/nf/7n1fHjx9Xo6Ki6//771Uc/+lEx7fve9z71wAMPqLm5OfPf8573vGD6vUZ28cDbCLsJxJQ6Ydyk7urF5X0ARK1LAjoPHPSee/NhY41yz5VzUUspiTxzcuGGMZZ3aYKtkgmav0J/+3AZ8XytMpLehHJMlyPfDdH9HSu+cv1grD5i7hopRDFubLeNg9tmqlLTxaL2NGQq5TZ4OT8Xttz/jgr/lVJKqB+1xLPPuiU/1yLZZSOn9Fxslhi+E/e5PeAgUFVtRVejjpLFYLjPw7wW9rUWY7HpfG8kGu5iQHpXPQesop1gVh+ylNqq20MOm0ODGH/v867vSd9upc4tVf/FBQnIxZTiHqd0H4cJU+YXP4hwh6WgxZDAG4pEBRHnqlEnMpSUrmoPsw/Sz7XVTko9/PrKdaRlS39D5QA3x2A/UUVA6vwPWUblyFtN0tTosPrOZ12rbjs6Uz3jo+91ZymF9n36XUAXp7ssFiUzXi//2XWHJvMyKdLl2FXrmSGku/7QlOc66+paYGwjgr9GaSBgheZfADJrMGPO0eh0olIq132PsZSqS8lWnuRfTdcfdnPixMXlRqLvpSrJLFFcPXqBHapRqPuGBUspnSGtf12gc1TPvlbq0lVK/eZv/qZ6y1veot7+9rerT37yk+rOO+9UL3zhC9WJEyfY9B/4wAfUN37jN6q/+qu/Uh/+8IfVFVdcoV7wgheoRx55RO1FkqLvQeVG5b4XySvElLu9baEWnjo/jS9jKYUhcxu2pW+6/0oDUqoZSgxTKrWOqa5etN9KZQ6/UUaVUsIlUxIQPCF4YwWFzhDTpQKufMsTUyTYP9wzW4XcGyEuTSkY+/N+DIKdMwCzvdgsbI62Pmxkk8gBkM03IGB4YOENcHrPzSRQ19zoe+h15hDA5KmRiDg5qa77TUjokih3mqXi19UlPV4cnwqVecexWXAowIOeA3TenAt4GklKkd1AIWu4kHslRxDwNZRfijupZHGQsm/lHMbKG3y+PpjHyHnCbzhLqVDZ+Dd/YI6tK8tP6CtqKZVzERZ6Llkmw7+hgppTykCZIceKIjWyVkGjHW/juuWUCnXlFPM8oDz1xow50MYCAeTQT37d7eqNTz+uHmCwcSBdm6u0Aped1vJP6o/XPeVK9fK7LlfveMWtrBs4F41TdN8jMA54TuE+55S3MNvYnKNWOxzpc5cnGwn5FQFvlLpyqvQZVQBz6SDA92PnltPlo6AXCf9O2hc8XD1i+cZ9Zp+FLpmhDEeBzj33vUDE2iYuWfc67Xil1Lve9S71pje9SX3rt36ruuWWW9R73/teNT4+rn75l3+ZTf/+979fffd3f7e666671E033aR+8Rd/UW1ubqq/+Iu/UHuR6PZpraKgCbIFOo8tltDBtlshwWPihVJz48BSqsamLzEhqBWPpc2K/CAQzToXsBTWVwO1J7U9gfFB9z2YPGQpRcNL0409lbgbbxZTiskzpRhzQ8YknGhBSyk/X/isqb3D5jOYZCkVF2yi1its9L3uG+NZUnado1BOAOiVTY+EzrQy7Fr2jhfttD6D5UjurqFqxxRgIZ7RmwOZ74InYWQ85app9T3PvlZ9x7OuQfVOcYXcCe57uW5sO5VYfhvoS3zAirfbWUpJCg5bD76MXkTfc2Xye685mIBvUZ6JfALml3MA8a0DmTpISlHET/x9kLeUasaqM0WOgYc23lIK8wokKyWub85VS3rfG0f7NOIuBlNqE94P5HcUS4jKTDGXzBjBfj4yM6oeuP5gVB5+y/NvMMDOOWTnkMOU4svQAWlecddRdXh6lPHeIMDl3SipCd8qIpeEUUypgGWxzWe9jvteg5bEyYGSrO0Y2SutMlJDSaTWZnpMDoIg5SHNvxCPMPI7d17olBKUv2H0PZKOyneh6HscxWS7Pl1CmFKrq6vqE5/4hHrb295WPRsYGDAuedoKKoUWFxfV2tqa2rfPD9VoaWVlxfxn6cKFC+ZfrczS/12qpOuuGZrhaUXHQmqjbJMG3LPsUW8S5m8dGQK013zbSWOeg98cobTZhPNutzfV7PhQ9awgdWNzIPUrFP/NYOG3Q/MJ1HaunZ062Helu49LJ9XPrxd+Rt8zOVTvNVA7Ww6TR6y/Vtc3XB1AuzTPFdtC2g/7Q4+Z/U7/HZwrnb6E37sxAH0D1mCVX5uW6/oE5gXrYOe93kxdvez35d/mGzgPbb7t7ua2HV/bPq5vYF/i/pR3MFtf77nOyysjvn4SGkLWqJ8nNyadF5E5XoD07by6g3q5Psb9KPU3nEdmvGFa0/9SkS5/LaxybWtvyvWmdaJp0fw24Ki4jdV8BGtOGgM3d0PjVbYX1kkfYClP1OlGBgt157GZSnDk+FjZI6BPqrXk8ym9NuH6oHk1vQfD/uPmcFMU6vdG8mfmtYnuJM05FV4nlAZsGrhGAOl3+hCA1pC0VuHcQHXE48x9Wwh9WY0h4pl6jnJ7CuGXhD/AcjX/tO/0XOfqxO/7ME/XF7SPIb/QBybTj+BbfSjyeJNSav/EMK6nxydhd4M2wb7v8D2SmO8L8FzzgmovZcZJG5RBfoXWL8OjuL6k8hQch3J/xvxlu2TzjcB6CJKw1mxfSfPRHx/Y15tqgJkHKXwNrp/cvtTr4rqDE+w6k0jPa51+da0jd1ZWQ+W/Ib5lSadB+207wsfKjY3s6Ztsvypmfpm5nDjn4Pz01nwxoNbbm2p9fcNYGsbkKNs2na7EodKXRph/1Zr/glzurb3qzIfL/O5nXaN+42MPqWffeFD9xkcfYvdouncf3zemvuc516qPfOm0+viDZSAfWdbj6yM9HwBnuRJEnlsL5Zhz/NL2vYaU4viQ/kbrpOB3+tLA24NC4+Gd/3L2lJLsHL/U9RGXvFLq1KlTamNjQx0+fBg9178/97nPJeXxQz/0Q+ryyy83iiyJ3vnOd6p3vOMd3vOTJ0+q5WUH9H0pToLV1TU1oC1iOurak6dOq9b6vFpYXFQrHcDnjbXCaPCH1QZyi1xeWlIrK2vmb/1cM8eVlRJ4nNLS4kL1TnKtDNGF8xdQ3qdOnlLtlaXq2elTp6JuMufOujpoOnv6tFqb9286L16Y99qxMH8R1Ztr5+lTJ43W3L5bWXbplobaYrvPLK6h/C6cP68WFxarZ8tLLk+OdL72/QIZI0t0bFYGNqPjMFusVt+cOXvGlXHxgjpxghd2T19031y8cF6dLZar3+fOnlUnRsq/zy+vB9uk+0BXb2FlA/WnrvP5s27cL5q6lGyqejY/j/tkYaFqq322WmyY9Wt/z3fSbK64fr944aJaXFxSqysram1d13dZLS+2vXyXl3V9NmrP7XNny/m2vFyY7y9evOj1zfLSonm3OO/mpq5/6FZmnsnH1Ht+Xp0/u4nenT93ThzTVNKbIprHF/QY4jVJ+7tqn+lDeT5sDJR9o2l1ZbniTZqWltw7jhYWXJ8t2X40/M2NIy17vjOHzp0/X707deqkOn/O8aETJ0+KpufnwXery/z6PXv2jDoxsMR+f/b8CvrmzBmcFq7nc+fOqZGN4er3hfPn3N8X9PoY5scgsE5o2sWhtmk/rNPq8lKVvuLv7bbaWC3HQ18QmbFa3TTr7eK8m3N6PiNerPtiaNmbQ6Z9F8o+XwY8S7erm/0kROW+1uFT57tfFxJVY3QR7y1NkV7ntC+H2vz+YOoB5qzlRXCdUNL8/cSJDTQWkDR/0nQe7N0ln3Fr19KZM4uEp5f78vKiG4uzev8Y9OWtRbC+zR4ztobnLugHvS5PnXRzTM9L2x9alrN8BfLg+Xm8LvR+sNJxMVpbKfkJJdgf1Zw9B8aj3Tb8Wb+bv4jHabTQe14nMMJQOQ4XLrj6LC2W61b3k302OjSgFs6dVovg2p3ja5ZOnz6tiuWSL5w75/JeJHJO2aeufmadFiUfOnvWjdkKWM8679H1eZQH3O81L5tSLv35c+VeL5Hb/zEfXQFy0cWL8+rcWfdbz9terKkUOs+sh5WA/MetAXrOgXv52TNn1PiGi3x97uwykoO1JTvsa1M+5al6nYyW60QiJwddqN2XFT9JkDdXl8v2n+usB30GsbKXPo9L39O1tgJkicHNdfMMygCQzpw5jeT9M6dPq9XOmQCuC92vZ8+5PbmUTzfVqXkgI58+o0bW8LyHdB6Mk96zYX2KoQHDU86ew7J/WZbuf1/OszLTwOa6WlnbRHuq3dtzSTrD6fzg88Wlsq/nQb+ePXNaDUwMq1fepK2lltQi2EdhXeBY2OeXt5Qa2VzxnnN7mClf4G2UR8B0et0srLrzhCWzrwyvGOML9t3EuloCdYZ56r3v/Fk8BxcvlnMjJO9C0mdrOhdS9xR4ltd7m5aftNx1KZLecy95pVS39NM//dPqN37jNwzOlAZJl0hbYmncKkt6ImosqoMHD6rp6Wl1qZKeyMPDX1KDwyOVCeHsvn3q0IEJ1Rp9XLU2VivNrbYfGRsdVocOHaq+Hx07oVpr5Yf6uV4QrdZDbFmTk5Oqda4U+GAeqTR3YUC1Wueq3wcPHlBqdEW1/q7cdA8fPhQ1n92/ck61WmV0iLIeB9Vky5/iB1dHVKtV5mtpZnoa1bvV+qr33eFDh4yZp303OT6uWh0Du7GxUbHdQwurqtV6zNVz35yaXCxUq1X2v3ZHbS3KWmSdry1zeHiILYeOzdjYSHQc9Ot37ttnzGtPXFhRrVZ5yDh0YJ86dGiO/WajtaRarcerduyfGa2+09aIhw6VgKAji7rNj4plz87OmvGZX1lXrVaJ9zY+Nm7qfFHNV3nOzsxU7bB9MDU1ifpkYmLCS2Pbb3/rPta/r718Q33qiXLQZmam1cRSoUbmN83V0PjYmJqYGFWt+fLAMDXZKWf0MdVqr9We27e0ptXEp8+pG4/q/jmkpqaWVauFlRXTnTZNTi2oVmdSHTp4ULVIGHD0zbQes0W/b2em1dy+abQWdNCHQ4fCOBEpNNp6uLrRgWNjifa3pfGxU9VakcyybfrR0SdUa8Mlnhh348vR5KSek8tozMbHT6vWUruaH60WPijPzZTrffrEpmq1ys3yssOH1Mx5vS7LUOZHDh0SzcjnTrWr76YnJ1RrwV+/B/bvV4cE7I3loUXVaj1R/d6/X8+NKXY967VycG5MtVonqrG0dZyewnxLU8WfJuV1QtOOjbYMf4M8ZHrKpZ+avGD4u754PjBb5quFo7Gxx9R6saZGR0fKtXNxo5rPrTNrpC/K9o2NPoxwaSYnp8z4QZ41/ciaarUWaq+5EE1OnqvW+FyHD/WCKn7VGYemaWpKzyG8qFoj/P6gad85N7cnJ8r1OTFxrhozSgf2a54xp2Yf31Ctln8Ys+XMXRys9m69J3B7x5nNi6rVOlWmn3V8A47FfrN/+GG152ZWKn5ZrpNZsh9MVf1Q5n1AtVoPm99wTo2NPa6WNler/d7mOTGJ18XY6KOqvVbyi/2grqifgXxg3+9fcXKFnt6zlsdMryJ+PzHeUsvtlSqUuE4z87Cb7/s6Zc6edLzp6Oy4dzk7DfYKSgcPHKjc/eYWh1SrdVbk2bDeB/U6PVjyrNMbF6oxg+v5yKED6tAMjlI3tbpR7ffTs3oOTFV9NM2UyfXlFOGjeo5aucjsjwcPVDxQp+3FmkohuN9YGg/If9wagKRl3dmz7Wov36/HYJ+OdFbS4uBC1W59JtH4XVZm2rd/v7k4se8tlbJYuU5i/a7loLp9afPQ/D+Wx+z0vJlDwy29l62ryYmJSvYaGWmJ39O1NjV5tponox1+NzmpZcZVdh3MLAxW/AueCfbND1br4uChg2pxcLGSmUo+tk+1R5creVfPv0Mz8jkSjpP+Hp4xJlpDqr2yriamptXY2LpqLbv9b1bgMVZm0jLg5sCGmgTrw8rAuSSd4aanptTY6Eq1L+uzTdnXjsfoeQpx7SYmTlftgHWZmHBjAZ9PP7RazfFKrpjy15KmmelJlrdRHjEz7Xi/3htaKxtI7jXPzVqYNgo5uy9guXif2vfYesV/yzyXq7Vx+eGD6Px2+OB+bw/Sc1kaD23Bhc5mwhmO21OoVbJe/5eqUiqkg7lklFIHDhxQg4OD6oknnPCuSf8+cuRI8Nuf/dmfNUqpP//zP1d33HFHMG2r1TL/UdKDf6lOAEvtCivHgRfoNmlLR4pfY8ChUQQJhxlkn+s0HKbAAJM2h3RUBVgfPe7XHJxSNx2ZNoLbcAK2wwDJY2RokK2Lfk59q3X5qO2Mt7Oug+6TQ1Oj6uTFFfXka/arhz6x5HzXhXZrRRbMT1tbwboawPAQfg1Iq90zpHLg2NCxlOjK/aUAemp+rSpDb4LSt4MDru+GBwfVIGjbQOH6UI9fqE22v2HbtAJA/x4C4wPXIIy0Ar8zkfYiaVTn941HplWhHq3KKyqw9jKcrHlG6lM+qT+3L58bV+/+Z3eZeVwCauL5AOcqXAcDnXki0ZDQx3o+eeupIV5mfPbtHGPydGNC1hPiQVy+rm/perDjIBGcg4N2zAA/4vpbr0majv42+Qo4BDCdXs9c20L1jo2PFh6r+g/oiEMDbHn6nTwG8jqhafVfes1CHqLXt1vPnXyKtpnHduwt39dtNXtNNQ64fba/uT3Efgd5Frf3NEVwful29WqPp7yn8fxBH4GHYlmz4yPMOpHXpR1/wyPZ+d0ZK8Qz+f6E8wHO9aGUbwcjvB7kYfkObadJB9d2YF3A/HRgDK5OmD912gL5QKHdPsq6cGuBthmWaeUD2I7Z8WGvHnq/FTFiQF/C8oeH/D5Gew78DvHVAfWa+65UF5bW1NG5Ca+80RFXf22YH+M7XF9SPoplAx2ghq/nVhPkc66u8TVO54H7VvNRfn3YdQjfofEy0ej8fGN9rkljNunLyCdfvb92X1J5K0RGflalV4bdM6zsFZKf6ZxA+5/d4zheWPF39w7uQwXlSYW/TmBfw2/Z9oFxomcRO0Zm2yN1lcbK8mY73/TFnTRHckiUVeC+3KkTbIeWNxGfFPboIuM55DGQYFshUR5BecLggJObqnKrvY5512knPBPCv3U/jwwPoe/0Pkr3oNB6o+VKvILbUyDZMi5VnURqvXe0UmpkZETde++9BqT8la98pXlmQcvf/OY3i9/9zM/8jPrJn/xJ9Sd/8ifqvvvuU3uZqP7IguaxUUnDhkhlEsO4GF/fLtHbvMg1nTz/9YvSwRRTwb4pWF5VYDT/MtGPvPQW9eWTC+qGI5Pqdz7xcPJ3Vb3MJlmP9IYukW7vRk1QRBxpJy36nhcxEbyLFV8BnTPPMBCxqkW0/XbKXrXfCdSnLq76mxRR1DZFGrwzRNx41Qc696MiNoXnrMu0+Pg5c6wOCL6lnBDKLiJYItB5m/I2P68oeLC4XsJKuPDvIgCO3Ny8tOQwZxx/R6G3QZFaKSXVW6JQnS1La3K9hehSBjeHFIxkyBCMZpsEdG6jwEXGBQnTCflKc1n6FLrQ8tHjcB4UnJerZ6hJkK/mAJ2nRu+E7IJLYvdf+G6M2T9CXS3txRzYLxdspCy/QGP2otuOJI0pjOqrKZV9U0t41E86NDu6NNw+qhuYQY4QlzeWdLw4eTZlHb7j5bepC8trXlTHOpTCUi2Av42+V5e4QAESj6JP5eigWGaq0iF5N9xILiADDVZk8KHIgghdfGmqLpp7GDW2sOeHClfJL4DyjiaqIOUhecXQ53j/4KOBQ8WRRHCPwXynQJFH6T6aQrZezmAg6/M9RztaKaVJu9V9y7d8i1EuPfnJT1bvfve7jS+9jsan6Q1veIM6evSowYXS9O/+3b9TP/ZjP6Z+/dd/XR0/flw9/vjjlSuD/m+vk91QubC+fgQGnwwIpwCu3A3VDceOviE1lhhbnRDukLT57+3HZqqohbZ0ifywtjJjjZEB8xPLcZtKbv8VQnjnULpSeK63UbqNgovQhVRVqg5ROc0KArBtXzq1YG6gYfk5irW6xOVr52TOgTkn7HdTbUnNRwLgleip1+yHpWQdAmDq1A3f9pEPfKmySeIzob7KVYzgCEJZn2aWo5TlalAYg7x1TKMak+cF2VNCEWcgn4Jrc6t0RVI0pl7R1Qd8y5ImiFNAhabvHBCm7ViFFE72sJt6wRA+9PFpaOQ8jmJu+yhCPLH8kpResFzajfDdKJjrMUqNOMlFtYSfcnsBXHMp/SJJctzBWuItkrIqRnWVDn70QvIbRiDdxpMdeymbUB2pC40FRKB/afS90Psc0rJQEwqpVLLK1ir6Xs18uOh7krzhXQhL/Ikqb5loyLG9IqQ8H+ysae1h8fBZDN0Q6wc73ULR47omY4WjtWbVTz9J4BI6rYgw70HPJaUU7VcyF9h6F/E6wYt4uifRaOTTo3I0wVA5TUZR3M2045VSr33taw2gplY0aQXTXXfdpf74j/+48q//6le/iszC/uN//I8mat83fMM3oHze/va3q3/zb/6N2mtE90+tqZcOeilLBTIu9LzLhdbEMg0dhLhbi27LTxUG/NDGvVF+4E0lL1OYnjJhsTzhZsLkFy1P/qaJGyHafjjdX3jrEfUnn3lcvfzOy9X/+qeTqCyuuN7AIGPiQhDnHAZpXp57QUOTrMy3Mm0RKVW587qnXKkmRobUXVc6/AtaVU6BLrUtVXCrK8izB6SAoCuR/0moM0kbI4eUbqgspy0enj2lFDxUQyuzjPm3ueVKqa0p58dfeZv6xycuqmde3xvMKs5qNmQpNQXwFc8vhUGQc9YITJWyH0D+LilBIElh3LmHpRuoysrfz66oZSnl3eIL5WKLCv/wy1m+cJa2Yf5S1LOUQpbCjlKmwuTokJpfXlc3HPZxwVLIHtxdmbgu6AC6jee65918WH34ixi3Jo0PpylEfDkWDZDfL8zg7MRzrz34r1qlVM06ypbJKRfCfDqqzObksdga4Cy4LA133tF5EyKbh90fES9TzRO2kvT3E7qH33zZtPrSyYVkq3xubxJlWOEF5RHUmrLuhSw0VKDjSHlpHYU4vOzrhaX7bqIdr5TSpF31JHc9DWIO6Stf+coW1erSJMvgOIubFOYimpp2WS+60OscttAGYhQ/fB7DOv5nA5TKXDghgwp/t14+rT7z6IWu6pNy65xCIUspmHGJBwJfQeadeqApvDnA3YRpuuHIlPrHxy+qZ90QP+QNBBQbr77vmPqamw+ZW8IPAqVUqWTLb0MTZG/ZcH+GSTb7Ztay6oHiM+M7qStnxobVvVftw2lJmhzrpVSBwa6Vuq4Y+BApjYNcFx/boL7A2w3dcvm0+uyjF9Szbzzk8RBoKQXLHx8Z9C09Iu0JKRbcGGzNeuulGwSky2fHzH+9ojXrR5u4VuB8tEqp6TFZBHTWAukkW4OAfKFlTsJ6jSlhw8oZPuVAqvtehqUUPStXCltSQ8QvmHrYdQd1U6NgzaXxF/5veqij9ZOUIykKyp/5hjvU8uqmmgHWx5raTVhKFRonEY7f9h3sjh+YUP/+G+9W//nDD6qPf+VMA5ZSvhuS9B2XB2f5v1Wu0Dnl2XlvLelS66jbDPkada8K5ZVqKUUvWFk34Sz3PbLmEyEx0PNOmyqlVB0NeyIVCcp/uj5fesflxmrojmNlcKM68prUCmmcQjzCnKq4M2vCPIOWUqFxnGQCZ+Ve9vXd93aBUqpPzZFlGJz1QcrizXEZyiG6UOtkh246AhlwN5G9VEBwZuhU0HjTM69Rf/X5k+r3/uaRRsrJbQ5MHsSUIrdJKZggwXIZ+Zy6+lj6gRfcaIBWoRuKRKHx13W2Zuu0fK4+W7GHaEBFr0IRkja3clxI2oZ2wjqKR/odpJFB7rCVhyklzZcUATkHr0osX1JKBb7JXSu4iCLJTTKlZW/+muvUg6cX1XWdiFuwXlCQtrfbovuew79nKXSw4iyltJLsDz/9uHrKNVhh2QSJOEOXGHFuUqnTeb2j0HrtfVca6xbuQqRSlEcmK3wvrz9eIZTiqh1TyIYsSSTrmlCTsNtcuqWUeABOsZRi1h2cm+NMPUK8Drc1rECX3eLyeL22KuMsy1J5rLVCsBemtKrdWrc2STqaGqccCVFovEJ6ythlY8z6bSvoin1x5buVKy3vSa0jxbGtZKUE2Uz3K8aJDKXFsq0m+G1MtgjNT+niKlQn+7xy30PK+WbJKEbRb6wQ4+qpL6+fd8vhjDKK9POkCL1Cgz1g/h7bz7XifGFlQ73j9z+DnksXcAVjDVqHYgrPPjm6NGHc+9S9pRQLVh7/PmT+2g01oRRKvdmjwHVNUOpmx5v5F2pqdNi4k3E3oqlU53BuCc6HIKZUoI85hU6dOSBZMujyUhRSmvZNYKyEFIsYuqlVQoFqlopUS6nIGAZv/URUke6o7hhLTeFueWm7LHh/11Z+Ks4fUkvClh/xNN67yO+tsu7Rh0jtbmPzl9wEl1edz/YIaDDUpcKDAxfcoXpHWssNrwYTfe/r71Hf/sA1qmnq4YXzltL6JqOUyuRW2qrlLS+40bhi1MVeTBG4UZpM972Y2xY90EsKGVSfEAYktFDKUEpJuJhFAiAyrKd19YEf6iiAfnnu76nRIXVYCFdfxBQYgsse5nG9WyjXHSoV4s+84aBsRdfW0Qzd7wbuErqm7GAy4nOMKUWzpTIBVa5up7Lu37z8VmN1/oanHY+mtXI3BcKPkY/Jlt5eLtoam05QgCJlWIZSip6vQrw0FaS9l+6r1O3Z/pmjlKtTN1EuFDGlyG+SjvsMlrF/sqWu3D/OlDfAlk3ni1ZG1yGE29fXugSpbym1x8ge8PhD+vZZSjXBY1OVUjk+6U0Q7ZoSU6r5DQYf/Orjk6Qq7cLue5kVAN/kAhHDFG95wQ3qL//hhPrmp16VhEtELX+6Vax1O3Y55W8P0HnaGKeeGTirPJpt7AAC29tKVErZ/m7icCMCnQdG0HfRSFdA9vJABpsC+cDS2oZQV/s3jlwYypd2y+n5VT9ND/l0L2+ct5Kg9Vrq3NDKi4vL695zbvpxuCoxSkkrKT4l4lzOUstMAfH28ytqKaUkEN5gJE1mBjpLKRWsB8z2+55/g/riyXn1/o981cs31t9wmUlWOb3Ue/zgC2807qT6wKjH2rIaxPPI7xjO4FZQrgwnyjLUSiWCx0cjBOcoaZqmK/aNq9fdj2Wt1L0+D+IBWkr5QpLYtcQrIVQGd6kLz0mxfLBSir7L38s8hUsPsSRp/jZ72I5eTLMiF+icWkoFLsarZ8HyfaVh6MwBcRlzCCudL2Wpo/fU19ntMbKa/xzQuZQ0Oy36XoiB1tnEu2lfLNpeUyyqG8YHb69CQOdFwE0MK1QiBwnmGzss3Wx+t14+o/7lc69Xs+PEokqQYWn5SBDfQmHPWUqlC7pS9fRz3x22mbaEhGdENOyxkIyba3SocnCfrFIKNveBGw546aRbz1RXE3zzJSilggffpGLKOpH6NuFyKBHGlHJjs7zG325X1iDEfS/HBeXB0wtqKwm5m+0gl6Bcsm4wOWvlyVeXUS4p7k8Rir4XqUeK8gLvG+B5YF64eoQPY/7FQpyHhvghbENO9D3PwsWuDZIOWwP5abjoexDHrcqfKJ5QPwjV5pWAfH81tU4OT/MWXFAJpxVSpn6CEtGkQ5ZS26+UGmjIkkx/GsQHE+ZVVTYzNjugezyi1kKpPUb1OTnye451D2cZCC1PYwp0OAc8S6ka64f2Vy+3qlJm9PlsTvvrlpvz3MeUiuMIp0wBCVOK0qGpMC+TCCs8a2WxZ6hvKbXHSAutekPnNq2UtdIr//XQbVA9S6mBhpVS9RvpYSMYARJlLgJqvuKuy2uVk1tdCJobFpAKEZsLKSwSTzL01k+6semWUmQ0CShxKwTgelYJRXJUxOYUn7B8OR11Q5XSckEH/FvwSP+DLFqMRcHdV8yqd7ziVvWLH/yyeujMonlmp27dG3dOgM36PvI7VF67l2sAFAQVhtBSChL0NAphd0iHXZRmi+yWeuC9vS3Eu8GER/kb7j2mDkyOoGiX0pgkR99LGVvhwgTzE5mfcWW5h+yfXv6pgUDqYkpJriRFwAKwAmou/OjA8BlXj1SXXiwXheU3tIejtuQvmrd97U0Gr44CIYcIymbUXW+nue/B+qQA4oct+uR0cF3o/crbOy4RywsOyzWFci0N0bepZZDU1joTAaxH+hnPTzxB6yh06BmmV8FOQnMQ7+nNFyplKZ3R6HMaFEmSLLpVSr3+KVepv/7yGfXSOy9Dz7Ur4FdPL6qnXedffELK9f7Yy9RXSu0x0iCSG8J1an0T5O4XWTOKLfd3yPODFcwieXdTPW5TlQRBSD/60luyyukmOo00JyghQXVAz6fmxtB+j+rekPApKZaw4C0fnnpN9TCl0ud3UxthrE7f9sDVxn3ynz3pyqTvQqD6lhjoHLFtnOWVLvvY3DhygREtpaK1CZePy5W/CUVYiroG1A0ZmEBw6kB8rmVRKeUO1SE8oxSFwFbdIEqYRrtBKRU7rOsxfcGtR7zn3PxLBTrP5TODue57kcNYSGklzbtQNaEre5b7nudK4iucynQgTcBCAgGds5ZSpJ2ScklQzHHPJCuzOp601x2aMv/lEFa04UM+Vs6obSeswI/PE0lx5UX99cpxf7cT4Zh24rl3hFxApdaRJstRziSXQS7yLI/KCR4Ex5BimtbBsaUKmKaia3NUsg8//zqyRo41kaRUFKPvBVwaTX41jSZgX3PK0+fcdMj8R+ltL75Znbi4bOTLIEV4sKbveNa16j/9ry+af/cy9ZVSexBTSuIzKQIld9lB3Z7qUMxEOTGXJGG3jrKha8wsEEEkBBAulg+i0oTKqEu3H51Rx+bG1LUd0FG5DIWY91qqlJSQX9HDg6LYdaQC2yXM1bGUCilDcpUeqYStIvz3T7v2gPnP+07Ij1NK0bHKsWYK3VjDeWUPfnVv3NPc9+RO99wrVY5rgHseqn+dtkkKPkkpVYD6h0BRU4T7HED7bmi33FRC69ZuiZt/FU9K+Nr/S0qR72Yes4wI5VDHKm8FuKqmYtSVZeHfA0JZ0AKiUuqCNPYAC5W8XAAUFDWv1AqDuvB9xl9Y8H9LuFS9JHg4hHXxXbq3XysFeXJKgI2QgjMk80yODHUCSWig5UGWl77mSVcYK+APf/G0+b0Duscj37I+bU7RuZeDNai/TekLH7qh/PfwdEs94/oDJhBRCq/6ya+7Xa2sb3iA2HUwpaj7Xi8tpfTYwCp2k/+Lbjui5lfW1b1XzUXTSuWkKqUo+HvdswOUQ3OGSq/7qEIqkX8++ep9ps92UpTR7aC+UmqPkWbQMugz/c1pnfMPYPXc9/IpZqae+i1H3UZM0NWxZwjd1tyw5FpYW40opbrxW9bM9R2vuC3rG93H8KxaB7y94KLvEXP1eCbxwqRs6GEJHQ62FFPKDwNet9k9tZRq+I6Ou0GkYxW7rIPNDR0iORPqJmT3/ZN8RMiiwX5Et+W9xJQC3QcPWuL6EaxBfIsV8E4oW4dq3graLaCjuVGsQhSylMr5NiX4AlamgHyE/GOHMXyvQJWh+fsTBJDPmR8+3gm/NjjFC73socqxcQ7oPIChiffV9L1B6qOtUkpBBX9IhtsJOhfJqlSi0SFeKVVEeJLuk59/3T2GB2uFDMf/X3jrEXNxYJVSO5E8TKnEKRXCFotlkTNtYb/DIAXf+vSrk/M40omAeXp+pXFLKeyq1rAcNjTAKrLrWCRq5at2d0shib9Ka99TSpELi9xLC25u9iLSKPbikfMf3OMKKU19oPM9RvqQHztghIhbMxyGTS41IfTAHJpmLN36rlOhPGZxQinJzWELDlv01lUqphtMsF5gR6Qot+g8TsGJaIqqg1pGt0lzolSuqd5bSuVUVkjKu++1a4e5DyqlmAMPFfBT5xvshwMTLfWvnnu9ev4th8U0fgZyfnx5YE2ompTQOOSSAvryeZ22PeuGgyR959+IsizFLfbi8praCuoBZN0lr5S6fHZsW6LvpVjQUdyQUH6+MlTikXL9VgSrwLrBWjglg0vT6WPmgARx3DjrEKQ0ClhfY4VXURN4eGtWiiTDUNayM4DOeV4pkaSYMNlE5MHW0GDUlXSn69epa31qdetY3boy0s4meq6lKg5SiK75Onha1Lqql+M7Mojbb8vqtUWiyG8SMaUon+MvLeIdZ3H8eqUYwtAqjWe/q6hvKbXHSGMHQTcJaxbMEbeWe6FFZm/6apTTy6hKXSvdNM/biAOES5Rya41ueraA82nhOSV6Uog4izEaCrqX5G1qRBDcKrLKmRzhX1IKlZsz2bwbOn7XtcaTyufmtWcpFbUQLJLGjAM9bmJ+6azuPDZrsGj+7LNPJPV5N/ykl4Ii7COoMHz1vcfUk47PqSvnxtSZ06dA+sJzTza/A/lKTd+qc6aEW7OX3fdeesdlZp09cm5J/f0j54NWcJTga/GSgll75d8wn6JrSymVCHQe2q1S8RW9siSgc5KOupzAf+G6k1xmY8q9skx/X+XqSJ9J0V/rYErVITjWKOLoDnTfQxdYCUqpsDt3xr6/zYEi6lKO2x2iopvoeznF9O78UCe4ElViIpm+F+57jCzf5CrjLMpFnl/UsZSqL1dxAXea7QGZV/cJU99Sao+77yFfWrJY2Ah9zILq1rWtzJf8rpNHF5tAjqVCHaIRh1IEeUgpmyQK594jpRScOzSKYI77nv0SH1bwv03eiMpA5/KmloMnkkNc3zhskXQSgc57aSlVUxqSD6v+C3rgyJkBqe57lTBTc3pxhzdfsS5/341g0kuQX+n2Xx8oNGgxPVjAVqBqBW63t/vs1EvA2K2kJgHvtRWGxqW5+sCE9y6GSZQNdD6Qmz6sTAqDRPN7UtGDPSYF6Fzv47yirPBkl+X1sCUct3fWsZRCZ12EK7P1yttUi4LNnRZ9L1FWYJWqilipZNTh4JQD1N7pZ10PuDtRRqU8wkbGS/JgCHQKXfbwsr7by/ci4B52eGZU/dxr7ozmQS+vuwlklOK+x7mQNmmR+MB1B4yb6f/1vBtAOXxa6UwZwpQy3zEZhnqqYPoatrip5ktu5H3yqW8ptcdI3wJabGq9NnLB8/jIdd3f0TQBzJwTdvNdr71LnVlYVT/xPz6bmHf4fc5tstmMJYFPYIIpSjYo7Ne+lYoQ2ripEC78zVHoxrsXUXZS8ilNuIttsZRyka7SvxFDqDNulU0JMRgMszebq++qEU6PFYmDabfw1n3PW3BpE46z8PCt0wJ1pr8zurKnmFJQKZXAQ6ClRyjmAdZJba9QlqsU2UsUs0DR64ZaEuELl3h/SumlT6OWUuKPQDAI1TxJWzS++Asrk+DeHXMjTMVGK6KHNl6pV2yBhTwlhBcUUBzuAEOpbF6pqTU8qJZX8biWFtp5CsD/8E13m3UIXfp2OidLcXHMxpSKNDrnbhZduHbtvod/w/z0XBljAhfkRN9rmrRVFpd9kxaJmq/pi4/Ui1X3XaHWO1bBkuLf/l0Ufn1T+g1apfUiunGOy+lep76l1B4jzWQso9GLWIp2Ur73v2eZSNH9SmsEUwpkEdtUZsaG2VthMe9uKkaOuiG/aIlSonfAPqSgkk0R3KSMMIVuAODfaeVv1W2shEsk1X+rMaXqRd+Tn9ODf3NdW29zzSk+11VDwkHy0ykGU4qUXUMeqRQz3ov4N+63nDi3jk+9dr/598W3HcHfhT/z6pVy+w+jh8E1VuxgoWy3KKJecsdl5l+KZdYNsa5rkX0VKz0S1h5USiWwWOqiEco71d24F3NAyhPyJBpMw657bL1ePtNRvzRdf3iKzTfU79K+lmPphi281JaQ5EpIaSdgSsH+SVW4SDw1VwcyPjJkIsJdSlTHhY2PXpm+lwSVteRVKHpst3WGimk9V+B7STala7WXFr5aUZZzqd8c8eXA88sIuGikyl86F+rWG86TXkQBrgt7sRepbym1x0jLnFYA0osjF19DMo/sdqE1gSkFKTv6XoTNd8ukoRBVRt9LL1vTFfvG1IkLy8E0sM/qCgAxOjjZUrdcPm1u6LRVioRdUad0rotThM+UspKj7yFLqa1TStlNOMeKRDJ/5wIPNDUdsMVLve9i5EffSxcSRgOKRE7ouvXyGYMDZV+1a/S9zSuE60LJUxqqdIr1x7c942oT/SYGjNsEeK+CllIoJL2c73ZTnSihO5G+7u6j6knH96mjs2MIy6wb4uYW7KLoviIqpfgDT5L7XuTiIhTJFq5TOJ9Txj13bohKKRRuHPNm+6fGo1PEleSmI9Pqp7/+DjU3zisf4EiFeU+6XCBZNG7V+kX1CxS5/SqpdCxDSJonn1c4oIPJpua+KtVnJ5J2EYOUWl2qEOWCo3B8wT564PqD6g/+7jF171Vz6H0IPL9rTFbyOcwvNRIfvViGzW56qHWfck3utZtsSmAF2F/UwoxOhdxLC442m4sfAuqwHQq/S5P6Sqk9RlrotJpgvThC4VX5Bc4LhS+5/TL1iQfPqgc6t3u5JAFsZuWBtNENL/wus6O3MLnt1YfMiZGhYP8i970eXW3q8f/+F9wovOP/ZtOyz/ynTe2JSVYipF69ct/j2lnHfS9lQ4elNkFchJamid4cxoSEDZAgpEiBdbf9fdvRafUDL7xRXT7jRx/LtpTyFOvxb+pQTFDUa7SOQoryqRSlFMRCg9XylAM76KaQA5q+FEmP8xX7xhvNkwvoFwsgkrLvIuW/4D4pjYV0QBwdKV2hbjziLIlCa1Bbl3DlSjreXHcjaV57llJMf66DjoeHMIgZFC47oACH41PXUmqLFgpS4AXGqBcuNj1X4AsXXSWmVLPy704kz0MgUSbxI9n5Clfu8tJ+p70i/sM33h1VNMEp1bVOinwP66xl8zTvCKqU6t0lqVaAcQEoeh1QQISgEC6H9TrTPMyuf3rB0W5gDawDebKp1m+PFdqlSX2l1B4jzWQsn9GLOzeig8SsZ8dH1M+9+s7aFk5NrFPkvtbwyad7S6nQ5hyn6dFh9S1POx5MI90u9JKa7Gb+pqbHQOdEycK5L22F+FtH4JDWGutis91A5xnfeTeYkRFYW28nRt/zD4O6D2++bDq5bi4v/2/vQBz4vhsFVi9dV6BAxt1IUyoS25PCP+8hN9m9olwr1b1EnOsC7CFuX02xqJEUHCm4SBL4tZY3llY3iMuXXLfxBBwXSKk4QVw9Q5hSnMgF3SbrRR7GvyWxLkcugim3IppvCAuT7gHbr5LCfZyulOLnYMjab7cQ3U+SLaUKOZ/gvqnyMFYxNEWzY0AtpVJypxfL0Aq8acWGlnXZNvd4oRVJQQQGUZ/oC7fFlXXeQrRowjtDNU69dh3fTdTHlNrT7ntYKZUfCcd+1z0jxzd43S/apkO6dpsdwlsJYDF1Q8h9b6tiOCfUJf2bnlQlUiae/8U2YUo5S6n0TggdAP3w5MW2RhHJKT4X1HYFWBmEDk8o+l6Dk62KsuXheOW47/lpn3XjQROp577jWFnTSyOBtQ6gaOoB1lmJFWjcPOVARBH03JsPq+961rVqKwi7rG9JkZcMbTCmUrCPYspzqTulCH4pd2IYU8r9rQ8ncxMjyZhSUCmVMu65lrLSeocXRCYyKnNAYbG8IpSKgROzdEuJkrlV6wT2VdGQS3evCPZlqxtLKSIP1hV/d3pUrzqXsWW6opb7Xq7M0+ScoiXDOmvZPGWsaH/VtX5OIa3s4azge73OpO0Edg+2NFVqFPymeIMsvEziNLBWqbcdnVFNU1/mSKe+pdQeI31wsPKPXifIlWEbN74m3ILYkO8NUbe3VxhvhSI+NFNXFLFiq3xkGhRcuQ2lseh7CX7iVJmzldH3KqDzjG/EyCUatyQxbS6Fwq83RblA56uR0OnsbZUgDKXLYH4/5FhKpYzHG5563PBrynOv2t+syxYk6EaUgzEYSlkeuuDB2E+zb2K48YsEiXYS6PpOI6CTZIm768h180qNGufKDI9XkfjtGHDfSyl3RsByQmUnKbegZQfvur/W5UYXwuSE/LMuptRWRd+TcL+8GKnbr5Oq5b7HKRbKwzT43UBXx6yLt4NMYCUQSS2V6JRNDeKTa3w+1WoOOD7kcqgVVCGFq9ROaLnZ9HLUeF8cX+61lyx39jFyOFxbBJMPRZyk64apb6py8sdfeZtaXNlI4vu5hPfIxrPfVdRXSu0x0jdy0B8X3nymrF1uQTUSOa9LkGzvRjezTrHksQ0uplgK8famNhiEmbNF7nsh1w39cycIj6lCWkFurLcU6LwGppQ052Jhv7uh2tFNMtLmRpvjlFLcoRMeUCXMtWNzY7UtxroxJZfSwnb85Nfdrh49v1TL3TCVIOByCknCNRYWaeO4sdnKSJewJn0JERKLzYKAsiOWUgk33xK+mLQGYnt56kXZODjMhA4G3/nsaw0wsg4Y0ASNDOJyubUBlcF19jTN26TolzTISojQZRlS4m/NOoHzCymlAqDUO8J9L9EyPRenbLeRVsisb2xkyRJ0fQ/DORL6LpO3X7l/XL3mSVeoA5MjqmmC8rhx3yvquO/17pJ0eAAHX9oq4vqBBuqhmHzQjdGzoi3S+IKW8x4+u2SCScC5OTOO+7wpNpN7EbOXqa+U2sPue3pt5Aro7EbSwBprgiHCLJoWorplJFSI6gVfgm3uFdA5pXA7hKsLoT+5Z00Jn9JZm97yQwXHViqlKoyjjMWE3WqKSqFWRnesryAJkY68+ODphfwPMyqQO+JrnMsRWwWoQOXzuuPYjHrj04+rKzMApGVMKbnNfrSsOB2ZGTX/9ZK4vkxyXTTue5Kymn7j57Nllp2J82Cv0otuO6I+/MXT6unXHWDHixunFDcy+BQeJCTXPEiDkQsWWCXKO2B9UjGldERD/V9TNDyEL264+VfHfS+0d8KfcElz4zc1ygPAI3lqW9z35EJ3AM65CMacGx22HLvuL2UvBdIH/yW1kSUSvODWw+qXPvhldcexWU/BE8qjjszzwluPqCaIrheomE6VzenFMpxjTetkteKHixC3HUDnxrIarAKolNIXFFA5hy4syHcwP0pvf9mtanVjs6eKPkh9TKl06iuldjnNjA6pZcBXNJOxG7pe0BB7qK6lVBO3zVOjzmSytoAWEZ45eso1+9XHHzyjnnXDwdSs+feRBJS3YxP+5q1YtgroHJJ3KM+0lOKGrNs98bVPukL95sceUv/86fFbb11fqJTaSlyuWpZSIK0+cF1ctuCP4bTdHlr/6NOPZbvI5hSfq4hMdd+jSjw+TWFCSMeIA6b1smxYYO6WUro117XCtsOsdUGdWBersFfUd9+T6djcuPr/vP4e0fIjNk5FD8JjdyPEw+rCcOI6z2sOTqgvnVxQD0T2/m4JAZ0TiwTLO3ItFDmSZAp4sOTGb6I1pN764pvMfoexT/LGqbfuexTofPu1UpI1R4g4SACjkoJzYhczpTqXD0+9Zr+6+sCEOjjZEjGljs76Fs47qR/HRgaIpVR3mFJNz3+z9tlLYdVTkjxv0NoiZ1Tsvhffy7nzqXEDHNg6eA4usmGfeOorpXY5fefTL1cff3xdray31ce/cqZ034NA55lmhZJmu1vSAuOr77tC/fbHHzJCUh3iomvF6NsfuFp969OPRxUQjQtlWMHfvPveVllKob/zrT/imFLd7YovuPWI+pqbDonjSwX5FUbBsRWeAnUwpVBkqdZQpZQymFJFb+bvZGtIff8LblR//8h5dUuGG1lO8bn9rW+8cqlJJYhrm2yt4H9DNbhqR1C++14Rdd+jc29gmy2lsDvYDun4HUT04Ax7iDt8wwNSrgIyzY2FV7BwZdLXUA4Yh5hSSql//aKb1On51Z5bH1JFC2dF2C3QebdRxa4/POU9gym3SimFI6vJ47oTLKVgndIxpQSgc/hb7V7S2EW5pOfBZTNjQWu65918SK2sbxgZ6K8+d2LbD/9UFoZ4dilRbTkZBc6xpmVS3aecW3Wv3WQ5vkIDDiFLqYECWYzRQBlNKyKbUv5th4L/UqW+UmqX06HJEfXGpx1Tf/j3j6uPf0WplbWNitFovQWNXlAnokVTS0xbYeyfHFHTwGqqLqViSlnwxRg1vcFJt/XdMEEE9L5VmFKBmwpdnw3RfS/tWROUavFELaW2kqwSsW5EO4yX4t8NNdm32oVP/5dDOdaUuWsgdcxSo1WlEL7Z9p+Z3wl52DrVtTZtGl8qVwi1fFH/C79MucHcPksp93dfPkwg0EfPu/mwOr2wqu65ci6qjITUFvo/RUEF12pMeUN5RyG57xXl4bDXCil606/xPJHCttP+XAvFHL6ZEuSDo5BiuVeUqpzeCZhS0NU5FVOKtZQiLp1NdPUO6B4Ru0gC/a8jz9k5r5+94q6jxvXYKqViOafiR9YhOoZjQD5LxXulF8s9dd8jVpKWeg90zjwjuHtwben9Aiv56XzamYSUzju1kjuE+kqpPUJ2YWtLELuX6kWce2vZS9cgTd1gOeDoe6pRiikLihoWJ3W/lQhuKhAMspcUuuHTWBVnFla76mN4u90LIi7prKVU84U2cyin7ntoHngKkp23E0ptzhW4ICZKiNoNWuZwAP8+jle4jJTDvEQ/95o71RMXVtSNR3wLh60kpFBvp+Jn+Y3dqsAMpj6Bi5g+hWlydEj91Nfdjp5hZWTcWge7MsTHAltK+e9Da0dy39tKfggtI7QlIsd6NmpojlLZZF1rY8TjBrbekoYbodnxEXVucVXdfrTEF9opVqWpF1+cpdReIgQXUjcPsICoMjcHu+eKfePq+55/g9o30TywOSVo3VUHU0o3BVlKNVy/UjHq913P3WSZIaK4ex7QOVDsUuODnarwkfa8PvnUV0rtEbJ+uPrQ7dz30oBGIXHraacssmKbojnVIW0R1jQo+7ZE3wsUozf7LKUU+PvbHrha/e1D54zrXS+pIPM4F+i5KbKCVs5UoO57lkqdFM5ou/3YuXkizdHcM9Qbnnpc/ecPfyUOUhrBVskhToDzrNMiebSGB9TKWjnfcgE39eFM/5dDvQDuh5EHpehfKUDnW8mv+5Fw8gjyEs4COSW6m2SlmHQRFnHfSw0oABX33QKL5xDkNWWUPXh51htMKUi1D93bYCklhb23c+xHXnKz+tTD59RTr92vtpvqjNmhqdGEy73dy5Owe2b3edAxQLJ0Qv63HZ1RvSZdJ8gDUkUPqsjCbsrN8y8MZbFVllJFHCSeuOtJuHPFDjqLUpIizvbJp75Sao+QPZBov2sr2GkBM5dZcrxwp/ABfFBsNu+m3Ut6cTuz/UDnuMzcQzOs/9OuPWD+20qi0fe2tOwuLaUmCIiv50q2zYuUK13CVsi92T841TI4VzGS3Muact/LjXj4+vuvUp9/4qK664pZZDnZNGkF759/9oT6pvuvbDxv1MZETCmuW7YUUwpFnO1TjODwcfsgWldCHlAJhNz36KkiQpwyCVXJCyjCu9Asr5URwLaa9CEaln3b5eWhWFs8fv7xi1lyBj2YSlYN2iLknz/janQR1sS494IgH+Dw6uYmRtSzb+ztRVUqrdWQFfQ4f8O9x9SJiyvqf/3jyeB+shuJyqV12uoreUF+4O/tVFBQ97M6ljLwokYrYlCU0R4oi3oRaChGHM/SshnsI+q+B60NU9bNTgiKAOX7piPD7zbqK6X2CLWspdTaZoUxYPCUMt33eCp23o1uwwu/6RbuB0qpphg/ZHZbZXnA3a5YmhsfzurP7ZAhUJkaU2qbLKXqCFLYNQWH9fasdnbGEq34jj5QfasQEXH7RYg8Kmr28dOuO2D+6zX1UsFrZ5r+/+fcdEj99795xMMb88PVF9uKKdUHHc2jImLdCJUjKS656CIs01I7V3krWcUtbZNSSivVLJbNoemWevp1pcXPi2+7TE2PDVdKqqbp6TX4TMjacUvc93b40lyvCdb14tsvU3/38DmslNohMnSvCbquNcF7qaUU5u1q2wiOp1bEwXNWqmgOv9EXeL2+WMRQLsW2YbdNtAY9i3K4X0BcNhoFeTsiCKYQVp7tjbVel/pKqT1mKbUMLaVMeGJeaJOIW987ZY0VA80dcnQEwIWVdZd3JLvLmJC0IZoZcwqb80trqvnoe1s0KIFi9K1mQ1n1jGgkpK1w3yt6kBPClDJAkbiU7T58w+K/9vYj6iV3XMaCvvZSiNAgw02RFH59J/X5VpBlM7oPXnL7ZeqGw1Pq+IFx9YeffsxLE6KttJTKdR/b6wTnd2oAEUrItVM4OIay/o5nXatOz68Yqx9KyK2FvhPm1XYqpTRI/A+9+CYT5t72hbaEeM4OsQDi+do2uO+B5zvgXOnRWgPg9E3zoav2T6iHzi5uO9ZgKk6S3i8+9eAKkodzKIQptZ2KPjieGkeLU/jE5B34zchQ0WhUao4QaHgPy0HEZK/nghQMQ/N6ijHlstJBJJod88YMBnaIsvRSoL5Sao8ppVYJplQT2EM7ZY01abr7U6+6XT12bkn99B99LpjfD7/kZvWhL5xSX3f30by6gvwg7pJ263vs3HID7ntbZCmFhABMc5nue9ttKaWFmO1y37OUY+AmAZ3rTZzqX7Z7jdLoQpJCqqTeCEJN5sq67+1BaQO56Q0U1WGIA4LnvtkOS6m6ipW9SjE3LshrpEOBDumuX9HIuqmHiCdfLQdACWUhTavlbVRK6XWiD+PdUq/Pi0glVWwH5hA4cO5ArdTtR2dMpLdRGNWxAepGdv3Rl95slGXw4L6TiEYp/BcPXK1+d2RDveTeaxqxVkOH/23sAjiCeizqWOfCs1lqdMem1/s26KTMHgH3FMgTND+H7nseXmViGd3Urw7lAPDvdeorpfYIWSDd5TWolMKWUnUXy05ZY026ZWg3geuB4CgJz9ccnDT/dUNnF51S6s3PuV79+ke/ql52x2VdHba2MpqV1Ef7JuTbLy4U93absOvq68PTo+eWkMnwltYhow8KIUqh8cn3QqOrHUOxNlJBiLOO2G7iMJNoq3ZSn9eJspZCVduLkLKK/wZSakSiJmiv4Lf0guoqD/XB7Odfd4+nEIS/6w5FSLFF63vr0Rn1mUfOq2def7BmaXuHQrhwvaLtkFvq0h3HZtS/ftFN6rJZHrw8Z49rqnv1WqBWNTvWUkorIMaG1dfest/gQtYh2o8wwub2X8WVNEx4UCoLhXsivWTuBQA5hxHfa11wW7CUghZayPVRz+9BMMakL3n3ve3XaEP5fA/eXWZRXym1J4HOy2f6xi4XU4oFOt8hzL+XN3u9lMnml9eRsuYtz7+h6zoObxmmlEwc0Pmr7jmmrtg3po7NjTfWx7MB7Koc0hvav/ya69T/86lHDe5DryhoHVDUyweC+OqDGDVrv1T92F9+1+WNHSCblE2Q+54I6H3p9fm/eu716rc/8ZD6tmfk3VyH2poy97byMBpypbhUSQP9v/d/flF9y9Ou6mk5LNB54rrirCObjoRo6/KyOy9XH/3KGfW8mw+j9//Xc69X86vrnsVWn9J43LZF39uBDnx6vvbCTW6XsCSWtCtbLxt6FMBo6LPOdhHkZdRqrY6lFMRa69V6QPh+nTr22n2Pa4dRSgGtG1TO6f0HXhhDZY+Boxko1OufcpVaWF1X/+2Tj5RldNEEGECoqcBWu0Xm6BX1lVJ7DOhcH1btgVXzIAw0Wo92iuYXuRk0vPB70UbtkvDRL59pLLwx3OwGt+iQF2KwswxOgFZI3XFsNjsvjv7lc69XH/qnkyaaTV2iZR6aHlXf/gA+kG+lOFzUTDs2gk2aqZJgu9doXeuUV9yV5xa7He57krXQpUh3XjFr/stdP76lFLzdJO/U9rrvYXDU3UEaXP49/+yungi88IDAK6Xqr6ymq2sPOa+8+6j5j5KWd3arQqrp8+N2WEoh9z3wfAcYO+w6BeB20AixlGqaNBaspfOLzWC11iHYNmrllLqUsIUQfteL9UAhFsqC1JaTtp7bAA2E9+v6XDcKLje00uhfPPMaU3d76aEDrug9ySql6tAbn35cfVpb1N7QzIUovDjvu++Fqa+U2mOWUhBPQS8OahoJKXXt7BTNL8IxadhQqBdWD9/ytOPqvuNz6taGIu7ANlOT4V5REbkV0wq3Jy4sqy+dXIjmlVvlu66YNf81RdutuMldS3C9ehFJCixNQEuq7SBoubdd/KJJM25kldlpWrED59OWAZ0H08T3la1VSsG/d88g9WpdaRykoFJqDyoIv/mpV6lf+/CD6ruefd221WErrYe2aplgIGz39y7XSe2KC40UOjDZ6nmbNY+CPGs7CHktEKXU4enRriMV9qJ18CLf8vknXb1P/flnn6gihm6V+x4cPxqYxEJ/WFfN+69p5lIf0gPXHzT/NUXQUmovyIXdUF8ptUdIK59sKPbF1VIppX9jV4Z4PjvRjFoCre5V3k3ifN17lQzgmkuQeSMz6R5SrF+01ZGec9/+//24+R3SC2wL0Lna3gPqq+87pq4FmGSHMrAVYHXhDaHRSYF32nx8q+ZDtxhFlyIVO0w5vz1t55/zSqlie6Pv9aXCLIK31pwFcjcuHvAi5VJaPs++8ZB6xnUHtpWvHpzMxzLa6dhr0NUJFbnLTaVwX19CCyGT7rtqn/r1v/6q+fvEhZWelHH57Jh66Myi2ilk57TGHztxcRnJeyHC0Cq9N5WCRRyeKnnL199zTF1zYMJg8fWCuFZopdQ5YOVG14bGTNP4hFqukNYKgrZoOBBBHdoHoEx200VYL2j3nhT65C1SHbVgaXWjCodsou8FTIq0b+47//BzKLIciym1Q9ZYL4WoS0FQgHXcSYChqX23HRg82w16/KLbMHbVTUem1OuecqURrHJobnxYvei2I2bD01ZTMIrgTtiUp4BSaku6uceFtBNc2PaC8GEVPHSNh9YV1ytbebjvh2du1lKqG2razX4rdRfbreh/2rX71an5lUYi+XEUiqC5FRa162De7W6V1N5x35sBbkwXAZZqk3T1gYltV0rB/XC4I4tr/LEcDLKBkPteE5Wk5YEyrPypFWq9sEQKWa9r9+rzS2vBPcIG7grRP3/G1WphZR1Z520XQXxde/7uE099pdQeIn1YNUqp1fVqsd915az6i889YfyvaQQMrdH/hW++NyqI7hRAX1iPpoXnndHCdAa/VZYHTY79dp/hJcG76egd4wElkRZmvuYmDM4rp8W/X33fFSiflPK2iqYAjst2jXOvDqx2qdV1f76Uqaizrjj3vS3sLFTWHhijJtcNd8HQzbpCOCb9wcgifWjlcLMu5Qsbe4DXtL7pLlb2Eu32feOHX3Kzev9ff1V945OdvNIkff29x9RXTi+o+6/unTIlh6j7Xh2ivBHi/DVFUAl8tEfueqkXmPpy9rpDkybysj6H3nTZlDrUsd5Kpadfd0DtFIIWoNAKrE8+9ZVSe4hs1ILKUmqgMNEqfvYb7lSPX1hWl3V8dSGlKHd2yibaS2DOS8HqAYdR3Zpb3Fx3zmDguW3oY1TiFhX/NTcdUp9//KK6+8ru8LCOTI8aK6jJ1pBvqQL+hhFKdoal1PaspSZdj9FBvdMe2Kqr9k9cEtaVXVOClZgPdF5sK6ZUL928dyP1Ep+l6WHfqRY1es5dah5ocGi2ap1APgAjyF5qfZdLe8V9T9M1ByfVj770FvP3Zk3FYwg3SstDb3/ZrV3VcadZVG6FpdQT55erv6e3CG6Ba4c+lw6oQr3ta2+unv3gC29Su4XOLa1udxV2NG3/aaVPWw52vrRabgR279NMINddCNJ2gwqyQlTD+/ql4OYB93d447hVVFyCfYxv6reGtOnx9z3/hkaEnXe/lo+4BR9tN8g5FXJ2m6WUbQ9sl46suRfIAZ3Lg5piQbaVmFK5OIp7nSCmFEddYUo1bLXWtFVrU6QvidY2Ll3Ln61annAvw+57O3Nc65K2AoFuPX02lG99tLF5abhBtZpQSvVoAR6eGVVveOpV5u9HgVJqyxSjYFl/3T1H1RVz42q303ZGhbwUqK+U2kNk/XAX19Ybtf7Zbv9tPgx5w+57l4DUAA8Hl+Jt23ZjSsEIdpcKpdzC7QT3vckWcN/bpjrACCi9mENwLPaOUoq3lMIXBMWOAh+/VCO+bRfFXEVmx+qvKxpZabfSFfvGkiLQ7iTS/OyOY7PGsp5CO2wFrV/CSrwY6cAk//c33VNdHu7mud8L2krL2m6pCXxXep5pyg7gp77u9urve66cU3/xD09UCtOtppfecbnazfTyuy5X/8/fPqped3+pBOwTT32l1B6ikc6habkTfa8OX4c3kdp1SGNU7RTqZajvS0HJ082NdRPUbenb3cWzAIQTknZrvdQOFHD+7zSgc3gDvpX0sjsvVxeW19WTj+9rdK3ZvtZuA6+655hRAvZKAbbTyM6yIuhKjd9t93kCln8p8PWdbil129Fp9dI7L1NX7su/5d4r3f8dz7pW/c4nHlYvuPWIupToe593vZH5tmOdrEFLqd1lKMXsy3tkITREOymQTw6eUF3yg+81vyBedc9RdfzAuLrzWHewEjm02ywgQ/SKu46qF9xyZEfI4zuZ+kqpvWgpVSmlumPsr7zrqPqvH/2qAaPbadS8+97O3wS346zfZCSrbXHfI6Fod9OBYidhSkFrrfmV3kTdSeF/3/aMq3s6h15yB46muFctpWCveO5723wAC0U16lP+vqIVFl9397HuXSlV97RTjzg6ApTeRy5F2i7F7QawlNqp49oUXQLi5Y6irXT33glA51vRXC0fPe3arQUH343K5hD1FVJx2v7TSp+2XGNfAZ3X2AkhE3nuzYfU3MSwuvrA9ph7bqX73uHp7Q8ruhOxvfRG9uwbDxrrFxj2VKLwgXRbQKWi4I6X8oFip7jvwbU536NQ0Ki8LZxLl4LCumeUgCnlufZtu6XUHh6vGtSLSE97EeC517TbDnjbZVG7HaSDlvRpa8HDt9pDpRvarXvWLm1Wn7qgvlJqD9FoJ/recqWU6i4/LUTee9XOxE5p6mbhX7/oJvWJB8/+/9u7DzAnqq+P44fdBZbeYeldilRBEAVRQRALYgVFQVRQFEWxogKiImJBLCg2xApYsCv+EUFFQRBEOtKR3nvfzfv8rm9isoXdhd1N+358IslkMpmZ5GZnzpx7roVDBkSwirxe36JKliwn2Be/CqeRKRWOQq3Qub+GBZewAAChoUlEQVS9QcqUyi7RfGCVZk2p43SlDvbuovte6HQLz/LgcfTEMSLe0SgafU81pp65qmFQBqgJR7mDfbCYw5lSyf9OBbtUR1ZRZtakRZutXvkiwV4VhAiCUlEk/v8LOXt/z3KyuGxOy6orC7USCrlbOAiHC4vH60MejKtBB4/8FyApHB9BQSm/k71QSxnenwNBqez+KvkfE0ZzYCNXBqanaNdB3l8BI25G70eXozVRMhQgzLZ3QTjyL3QeDbVnoqUOYbRlSqUXaDzeN1tFx5dv2Wdn1wzsVhchMSnX00LF1qP5GAqBCEpFERVszuq00lAVqemuodZ9LyudUibng397Dh7LkZOvnOb/9Q+F7nveg+4d+49Y3bKFjztf7bKFbMnGvVa33PHnC6ZoOEnKzPcs+UFlYFfqZK+x4PJfVU/kDvCVZdrWKePaY5MqxbJ82QQIkZaAwxl+bhGmNaVOJoB2X/tatuvgUVdCwl+YH+oHICAFfwSlokjyguSVSmS+QHm4/BaG2u9ctVIF3AhujSpm38gW4ZrSO7xzI9t14MgJfR9P1t5DRy0S+X/9QyUo9fBFdWzB+j3WrOrxu/z2PqeGzVq1w05PZz6EUPe942VKhdgJhP8FC4KLGbuafW/7WmHxdzqaP8/iBSMj0+bq0yvad/M3WufTK9q8dbuCvToIQeE0+l5atUozGtBKHpA6WR0blbMv526wq5pWzNLlAlkhLFIDRo4caVWqVLH4+Hhr3ry5zZw587jzf/zxx1a7dm03f/369e3bb7/NsXUNp0ypGqUyX6A8XOIeoZYpdWebmnZdi8p2U6usH/3Lvy5BqEuthohGvatcokBQ1mf3wQgNSvl9/0Nh9D1RIfyWNUumm5FWMG+cnVu7tPsX4ZIpFTj90LF/6xZK1ZIFQva3OVz+nkUq/+9CVtSXiubPs3HFou6Es2/bmhbO2p+aYM93bmQJfserUfyxIhVxMaF/6npNs0p2Xp3SrgteVjuZ4HvHhuXs2asa2gX1wnM0aUS2kG/Z48ePt379+tmgQYNszpw51rBhQ2vfvr1t2bIl1fl/++03u+aaa+ymm26yP//80zp16uRuCxYssGiXPI20VKHMR+BP/f8uNaF6pUJdDCoUy2enlAmNEQG9CsXntnNrlc7WAMElDcu5Lk/ZGfg6WYVO4qpRdtibAyPBBYOGWldGUoMKRVMEo6NBu7pl3L/ZlZkYzSe/GUm997+66/0svC5qkBAyNT5yR1CX3XDk/+2J5iynrGqLlzYq737zI+13JViDuCA0XdqonPtXIz+HqrZ1y1jX5pWzpXvayTQHrU8x6pchRIXWGWIqhg8fbj179rQePXq4x6NGjbJvvvnGRo8ebQ8++GCK+V944QW74IIL7L777nOPH3/8cZs0aZK9/PLL7rXRTj9GO/cfcfdP5MdSGQwKLNQMQv2fjLjtnBruACYa+ykrs+SedtnTzeJk3XZuddu694hVSZY1EWwqAn7gyDEL0RjrSbmldXWLVo0rFXOjGRWNoBEVQ5G3Z56CoP6aVC5miS2rWv0KRVJcDKlRupC9dG1j+2T2Ovtp6VbLaXnjYu2Gs6q4IefJxgsu/z/TWVEnhdhFZOJzhb9qpQrayK6nWd4wvqigC/wLN+yxZlUyX6aAIC0iVUgfkR05csRmz55t/fv3902LiYmxtm3b2vTp01N9jaYrs8qfMqs+//zzNN/n8OHD7ua1Z88e929SUpK7hSutu368/Lfh1rOr2uhfV1vX5pVOaNt0DHn6/xc8DeV9w4926HUtCMXvzF1tathHf/xjbauWCrl1w8kpmk9/3vT7l/W/BQmF8/oyO6Lpe5P8b0rD8kVs3j+7rEmlogH7QUHeFtWKp7l/4uNirGPDsrZuxwFrVbNkju/Ds6qXSHPdkJM8vnaUmJhoSUkndpLpXUaN0gWC+pne2+4Ue3f6GrumWQXzeA7z/TpJ6up9+Fii1SlbiH0ZgVI7R8moPLG53GvD9Vi/b5sadjTR477jGd3+/445TmyfIfraSajI6LqHdFBq27Zt7kClTJnA9H89XrJkSaqv2bRpU6rza3pahg4daoMHD04xfevWrXbo0CEL5y/B7t273ZdZwTxRp7Y7zyytqh+2ZUv4bhuQFdQebmhczLUTdQn2thMgPX1alLF8uWPS7EoeiZL/TVEe2o1Nip/w35N/X5sUVfsQ/9H3qFbxf7MZD+zeYQf3nFjK6gPnlLPdB49Z/LF9tmXLvixey4wrFmPW96zSlpR0yHbtCjz2QubpWHXJlgPWNCGW34gIlNo5CtJ2VqUCNnX5TmtZMS/tIYokRUA72bt3b/gHpXKKMrH8s6uUKVWxYkUrVaqUFS4cusOSZ+SLrG5s2o5w/SID2Y12ghNRWrH9KENbQVa77+LAi4gnItSaIu0ka+hzrVUl2GuB7EI7yZwepUvb9a2SUnSJR2RLioB2ooHnwj4oVbJkSYuNjbXNmzcHTNfjhITUi6Vqembml7x587pbcvrww/UL4KUvciRsB5CdaCdAxtBWgPTRToD00U4yJw/7KSrlCvN2ktH1Dumty5MnjzVp0sQmT54cEDHU4xYtWqT6Gk33n19U6Dyt+QEAAAAAAJDzQjpTStStrnv37ta0aVNr1qyZjRgxwvbv3+8bja9bt25Wvnx5VxdK+vbta61bt7bnnnvOLrroIhs3bpz98ccf9vrrrwd5SwAAAAAAABA2QanOnTu7guMDBw50xcobNWpkEydO9BUzX7t2bUBa2JlnnmkffvihPfLII/bQQw9ZzZo13ch79erVC+JWAAAAAAAAwF8uT7iOp5mNVOi8SJEirtp9uBc61wgNpUuXDtt+qEB2o50AGUNbAdJHOwHSRzsBoqOd7MlgXCU8tw4AAAAAAABhjaAUAAAAAAAAchxBKQAAAAAAAOQ4glIAAAAAAADIcQSlAAAAAAAAkOMISgEAAAAAACDHxeX8W4Y+j8fjG8Iw3IeR3Lt3r8XHx4ftMJJAdqOdABlDWwHSRzsB0kc7AaKjnez5/3iKN76SFoJSqdCHLxUrVgz2qgAAAAAAAIRtfKVIkSJpPp/Lk17YKkqjkhs2bLBChQpZrly5LFwpMqnA2j///GOFCxcO9uoAIYl2AmQMbQVIH+0ESB/tBIiOduLxeFxAqly5csfN9iJTKhXaYRUqVLBIoS9xuH6RgZxCOwEyhrYCpI92AqSPdgKkL9zbyfEypLzCs3MiAAAAAAAAwhpBKQAAAAAAAOQ4glIRLG/evDZo0CD3L4DU0U6AjKGtAOmjnQDpo50A6csbRe2EQucAAAAAAADIcWRKAQAAAAAAIMcRlAIAAAAAAECOIygFAAAAAACAHEdQCgAAAAAAADmOoFQEGzlypFWpUsXi4+OtefPmNnPmzGCvEpAjhg4daqeffroVKlTISpcubZ06dbKlS5cGzHPo0CG7/fbbrUSJElawYEG74oorbPPmzQHzrF271i666CLLnz+/W859991nx44dy+GtAXLGU089Zbly5bK77rrLN412ApitX7/errvuOtcO8uXLZ/Xr17c//vjD97zGDBo4cKCVLVvWPd+2bVtbtmxZwDJ27NhhXbt2tcKFC1vRokXtpptusn379gVha4Csl5iYaAMGDLCqVau6NlC9enV7/PHHXdvwop0gGv388892ySWXWLly5dwx1ueffx7wfFa1i3nz5lmrVq3ceX/FihXt6aeftnBCUCpCjR8/3vr16+eGkZwzZ441bNjQ2rdvb1u2bAn2qgHZ7qeffnIn0jNmzLBJkybZ0aNHrV27drZ//37fPHfffbd99dVX9vHHH7v5N2zYYJdffnnAAZZOtI8cOWK//fabvfPOOzZmzBj3hwOINLNmzbLXXnvNGjRoEDCddoJot3PnTjvrrLMsd+7c9t1339miRYvsueees2LFivnm0cH/iy++aKNGjbLff//dChQo4I65FNT10gnFwoUL3d+kr7/+2p2o9OrVK0hbBWStYcOG2auvvmovv/yyLV682D1Wu3jppZd889BOEI107qHzcCWLpCYr2sWePXvceU7lypVt9uzZ9swzz9ijjz5qr7/+uoUNDyJSs2bNPLfffrvvcWJioqdcuXKeoUOHBnW9gGDYsmWLLtV5fvrpJ/d4165dnty5c3s+/vhj3zyLFy9280yfPt09/vbbbz0xMTGeTZs2+eZ59dVXPYULF/YcPnw4CFsBZI+9e/d6atas6Zk0aZKndevWnr59+7rptBPA43nggQc8LVu2TPP5pKQkT0JCgueZZ57xTVPbyZs3r2fs2LHu8aJFi1y7mTVrlm+e7777zpMrVy7P+vXrs3kLgOx30UUXeW688caAaZdffrmna9eu7j7tBHBpg57PPvvM9zir2sUrr7ziKVasWMBxl/521apVyxMuyJSKQLpirSip0v+8YmJi3OPp06cHdd2AYNi9e7f7t3jx4u5ftQ9lT/m3kdq1a1ulSpV8bUT/qotGmTJlfPPoyoWuRuhqBRAplFWobCf/9iC0E8Dsyy+/tKZNm9pVV13luqc2btzY3njjDd/zq1atsk2bNgW0kyJFiriyCf7tRF0utBwvza9jM10ZB8LdmWeeaZMnT7a///7bPf7rr79s2rRp1qFDB/eYdgKklFXtYvr06Xb22Wdbnjx5Ao7FVLpE2b7hIC7YK4Cst23bNtelwv8kQfR4yZIlQVsvIBiSkpJcjRx1v6hXr56bpj8A+uHWj3zyNqLnvPOk1oa8zwGRYNy4ca6Lt7rvJUc7AcxWrlzpuiWpJMJDDz3k2sqdd97p2kb37t193/PU2oF/O1FAy19cXJy7UEI7QSR48MEH3cUIXbiIjY115yFDhgxx3Y6EdgKklFXtYtOmTa6eW/JleJ/z724eqghKAYj4LJAFCxa4K3YA/vPPP/9Y3759XY0CFcYEkPqFDV2hfvLJJ91jZUrpb4rqfygoBcDso48+sg8++MA+/PBDO/XUU23u3LnugqCKO9NOAKSH7nsRqGTJku4qRfIRkvQ4ISEhaOsF5LQ+ffq4goBTpkyxChUq+KarHaib665du9JsI/o3tTbkfQ4Id+qep8EvTjvtNHfVTTcVM1fBTd3XVTbaCaKdRkSqW7duwLQ6deq4USf9v+fHO+bSv8kHmtEIlRpRiXaCSKBRV5Ut1aVLF9el+/rrr3cDZWg0ZKGdACllVbtIiIBjMYJSEUgp5U2aNHF9u/2v9OlxixYtgrpuQE5QLUEFpD777DP78ccfU6S0qn1oJCX/NqJ+1zrJ8LYR/Tt//vyAPwTKKNFwrMlPUIBw1KZNG/cd1xVt700ZIepu4b1PO0G0U9dvfe/9qW6ORjkS/X3RQb9/O1E3JtX68G8nCu4qEOylv006NlPtECDcHThwwNW48acL5PqOC+0ESCmr2kWLFi3ciHyqA+p/LFarVq2w6LrnBLvSOrLHuHHjXOX+MWPGuKr9vXr18hQtWjRghCQgUvXu3dtTpEgRz9SpUz0bN2703Q4cOOCb59Zbb/VUqlTJ8+OPP3r++OMPT4sWLdzN69ixY5569ep52rVr55k7d65n4sSJnlKlSnn69+8fpK0Csp//6HtCO0G0mzlzpicuLs4zZMgQz7JlyzwffPCBJ3/+/J7333/fN89TTz3ljrG++OILz7x58zyXXnqpp2rVqp6DBw/65rngggs8jRs39vz++++eadOmuREvr7nmmiBtFZC1unfv7ilfvrzn66+/9qxatcozYcIET8mSJT3333+/bx7aCaJ1hOM///zT3RR6GT58uLu/Zs2aLGsXu3bt8pQpU8Zz/fXXexYsWODiAPo79dprr3nCBUGpCPbSSy+5k4k8efJ4mjVr5pkxY0awVwnIEfrRT+329ttv++bRj/1tt93mhlDVD/dll13mAlf+Vq9e7enQoYMnX7587uDqnnvu8Rw9ejQIWwQEJyhFOwE8nq+++soFX3Wxr3bt2p7XX3894HkN6z1gwAB3UqB52rRp41m6dGnAPNu3b3cnEQULFvQULlzY06NHD3eyAkSCPXv2uL8dOu+Ij4/3VKtWzfPwww8HDFFPO0E0mjJlSqrnJArkZmW7+OuvvzwtW7Z0y1CAWMGucJJL/wt2thYAAAAAAACiCzWlAAAAAAAAkOMISgEAAAAAACDHEZQCAAAAAABAjiMoBQAAAAAAgBxHUAoAAAAAAAA5jqAUAAAAAAAAchxBKQAAAAAAAOQ4glIAACDi5MqVyz7//PNsf58qVarYiBEjQmY5oe6cc86xu+66K9irAQAAQgRBKQAAEFa2bt1qvXv3tkqVKlnevHktISHB2rdvb7/++qtvno0bN1qHDh0s1IwZM8aKFi2aYvqsWbOsV69e2freU6dOdcG6U0891RITEwOe0zpp3QAAAHJSXI6+GwAAwEm64oor7MiRI/bOO+9YtWrVbPPmzTZ58mTbvn27bx4FqsJJqVKlcuy9Vq5cae+++6716NHDIoECbAq2xcRwrRUAgHDDX28AABA2du3aZb/88osNGzbMzj33XKtcubI1a9bM+vfvbx07dky1+97q1avd448++shatWpl+fLls9NPP93+/vtvl6HUtGlTK1iwoMusUhbW8bqaderUyW644YY012/48OFWv359K1CggFWsWNFuu+0227dvny9TSYGg3bt3u/XR7dFHH021+97atWvt0ksvdetVuHBhu/rqq13wzUuva9Sokb333nvutUWKFLEuXbrY3r17092Hd9xxhw0aNMgOHz6c6vPe/TV37tyA/a5p2gbvtujx999/b40bN3b79LzzzrMtW7bYd999Z3Xq1HHrfe2119qBAwcCln/s2DHr06ePW+eSJUvagAEDzOPx+J7Xet17771Wvnx5tx+bN2/ue1//bLMvv/zS6tat67LltL8AAED4ISgFAADChoI0uinglFZQJS0KxDzyyCM2Z84ci4uLcwGT+++/31544QUX6Fq+fLkNHDjwpNZP2TovvviiLVy40GVy/fjjj+495Mwzz3SBJwVr1L1QNwVfkktKSnIBqR07dthPP/1kkyZNctlNnTt3DphvxYoVbj98/fXX7qZ5n3rqqXTXUYE2BYZeeuklO1kKjr388sv222+/2T///OOCZ9rGDz/80L755hv73//+l+J9tF+0/2fOnOn2vQJ5b775pu95BaymT59u48aNs3nz5tlVV11lF1xwgS1btsw3jwJdCkzqddrXpUuXPultAQAAOY/uewAAIGwomKFMmZ49e9qoUaPstNNOs9atW7ssoQYNGhz3tQoAqfaU9O3b16655hrX7e+ss85y02666aaTrqvkn1mlDKYnnnjCbr31VnvllVcsT548LjtIGUbH616odZo/f76tWrXKZVuJutupFpQyu5Tl5Q1eaX0LFSrkHl9//fXutUOGDDnuOubPn98F6B566CG3H7VOJ0rb57//lLGmYJm6VcqVV15pU6ZMsQceeMD3Gm3T888/7/ZDrVq13LbqsdZFGU9vv/22+7dcuXK+z23ixIlu+pNPPummHT161O3Thg0bnvC6AwCA4CNTCgAAhF1NqQ0bNrjuW8qgUdcuBafSCyj5B63KlCnj/lVXO/9p6n52Mn744Qdr06aN63qmYJECRap1lbwL2/EsXrzYBW68ASlRNzV1WdNz/kEvb0BKypYtm+H1VwCpRIkSLtvoZCTfpwp4eQNS3mnJ1+mMM85wASmvFi1auCwo1YZSgEr/nnLKKb6sON2UBaZgl5cCfOkFIQEAQOgjKAUAAMJOfHy8nX/++a4ekbqOqc6Tsn+OJ3fu3L773qBI8mnKPvLviudf68iboZMW1WK6+OKLXbDk008/tdmzZ9vIkSPdcyrMntX81z219U8v40wZVeo+pwCfP2/BcP9tT2u7k++/k1knUf2t2NhYt+9U08p7UzBO6+qlGlb+gS0AABCeCEoBAICwp0yi/fv3Z/mIeKr75KUMngULFqQ5vwIpCsA899xzLhtI2T7JAz7K8NFyjkdFwlWfSTevRYsWuWLj2s6solpN6hI4ePDgVEcC9N92/6LnJ+v3338PeDxjxgyrWbOmC0apaLr2j7KratSoEXALtxEVAQBA+ghKAQCAsKGucBrl7f3333dFsFV36eOPP7ann37aFQfPSnofFevWbcmSJda7d28XGEqLAifKKFJhbxUm18h4qnvlT13ulA2k2k/btm1LtVtf27ZtXbfCrl27uqLsKgjerVs3VztLIwVmJRVGHz16dEBAT1lICqrpOWUoqeucCsRnFdWL6tevny1dutTGjh3r9pdqfIkCedpube+ECRPc56vtHzp0qPscAABAZCEoBQAAwobqCzVv3twVxj777LOtXr16rgufimRrFLisdOONN1r37t19ASHVSjr33HPTnF9FtzWSnOo0ab0++OADF0zxpxH4VPhcI+kpI0nBtOTULe2LL76wYsWKuW1UkErvPX78eMtqCrzpptH4/ClQpWlNmjRxxdtV0DyraH8ePHjQmjVrZrfffrsLSPXq1cv3vAqaa5577rnHFULv1KmTK/BeqVKlLFsHAAAQGnJ5khdLAAAAAAAAALIZmVIAAAAAAADIcQSlAAAAAAAAkOMISgEAAAAAACDHEZQCAAAAAABAjiMoBQAAAAAAgBxHUAoAAAAAAAA5jqAUAAAAAAAAchxBKQAAAAAAAOQ4glIAAAAAAADIcQSlAAAAAAAAkOMISgEAAAAAACDHEZQCAAAAAABAjiMoBQAAAAAAgBxHUAoAAAAAAAA5jqAUAAAAAAAAchxBKQAAAAAAAOQ4glIAAAAAAADIcQSlAABARMiVK5c9+uijwV4NRLGpU6e676H+BQAA6SMoBQAA0jRmzBh3ku29xcXFWfny5e2GG26w9evXB3v1Qs7ixYvdfoqPj7ddu3YFe3VCir4z/t+lvHnz2imnnGIDBw60Q4cOBXv1AABAEMQF400BAEB4eeyxx6xq1aoueDBjxgwXrJo2bZotWLDABWBCwcGDB13QLJjef/99S0hIsJ07d9onn3xiN998c1DXJ9QoEPXmm2+6+7t377YvvvjCHn/8cVuxYoV98MEHwV49AACQwwhKAQCAdHXo0MGaNm3q7ivQUrJkSRs2bJh9+eWXdvXVV1soCHZwzOPx2IcffmjXXnutrVq1ygVZghGUOnDggOXPn99CkYKG1113ne/xbbfdZmeeeaaNHTvWhg8fbmXKlLFQps9Ygdl8+fIFe1UAAIgIdN8DAACZ1qpVK/evMly8zjnnHHdLrdtWlSpVfI9Xr17tum89++yz9vrrr1v16tVdBs3pp59us2bNSvHaggULuq6CnTp1cvdLlSpl9957ryUmJh63ppTua9ry5cvdcooWLWpFihSxHj16uMBN8iyrO++80wXbChUqZB07dnTvmZk6Vb/++qvbti5durjbzz//bOvWrfM9f/HFF1u1atVSfW2LFi18QT//rKsmTZq4AEjx4sXdMv/555+AebS/69WrZ7Nnz7azzz7bBaMeeugh95yykC666CIrV66c27/az8pKSr7fZOTIkW7d9F7NmjWzX375JdXP8/DhwzZo0CCrUaOGW2bFihXt/vvvd9NPhPZvy5YtXbBn5cqVAc9999137ntWoEAB95loWxYuXOh7XgFRvX7evHm+aZ9++qmbdvnllwcsq06dOta5c2ff47ffftvOO+88K126tNuOunXr2quvvppi/fS91ef2/fffu89H++e1115zz+mz1XdS66fl3H333Se8HwAAiFYEpQAAQKYp+CLFihU74WUoq+iZZ56xW265xZ544gm3TAUTjh49GjCfgijt27e3EiVKuEBW69at7bnnnnMBrYxQJtfevXtt6NCh7r66Hg4ePDhgHgWtXnrpJbvwwgtdBpiCDwqCZIYyoxT4UXDtkksucQEiZQB5KSiiDKrkgbc1a9a4LpEKOnkNGTLEunXrZjVr1nQZRHfddZdNnjzZBZ6S16ravn27y2Rr1KiRjRgxws4991w3XdupIF6/fv3shRdecAEu1W968MEHA16vYEyfPn2sQoUK9vTTT7tAkIIt/gE1SUpKcsE6fQbaPu0vzff8888HBHyy4rv03nvvuf2v9dfnMWDAAFu0aJELYHnn130FoBT881IwLSYmxnUt9dq6dastWbLE7Tv/ba5cubIL4Om7pOCasrYUnEtu6dKlds0119j555/v9qP2s4KYbdq0ccEq7buHH37YvbcCdAAAIBM8AAAAaXj77bc9Olz44YcfPFu3bvX8888/nk8++cRTqlQpT968ed1jr9atW7tbct27d/dUrlzZ93jVqlVumSVKlPDs2LHDN/2LL75w07/66quA12raY489FrDMxo0be5o0aRIwTfMNGjTI91j3Ne3GG28MmO+yyy5z7+01e/ZsN99dd90VMN8NN9yQYplpOXLkiFvmww8/7Jt27bXXeho2bOh7vHv3brfP7rnnnoDXPv30055cuXJ51qxZ4x6vXr3aExsb6xkyZEjAfPPnz/fExcUFTNf+1jqOGjUqxTodOHAgxbRbbrnFkz9/fs+hQ4fc48OHD7v1Pv300z1Hjx71zTdmzBi3XP/P87333vPExMR4fvnll4Bl6r0176+//nrcfaTPskCBAu57pNvy5cs9zz77rNv2evXqeZKSktx8e/fu9RQtWtTTs2fPgNdv2rTJU6RIkYDpp556qufqq6/2PT7ttNM8V111lVufxYsXu2kTJkxwj//666/j7pv27dt7qlWrFjBN31u9duLEiQHTR4wY4aZ/9NFHvmn79+/31KhRw02fMmXKcfcFAAD4F5lSAAAgXW3btnXd5pRRcuWVV7ouS+o+peyaE6XsGv/sGG+XwOTduOTWW28NeKx5U5svNam9VtlFe/bscY8nTpzo/lWmjL877rgjw9uirmZapjJqvHT/r7/+8nU5K1y4sMto+uijj1x3Na/x48fbGWecYZUqVXKPJ0yY4LKSlNW1bds2300F1JU5NWXKlID3VvczdUlMzr/ukTLFtAxtu7ouKnNI/vjjD7fePXv2DCgS37Vr1xRZcB9//LHrBle7du2A9VI3OEm+XqnZv3+/+x7ppi6A6oZ51llnua6GynqSSZMmuWww7T//94mNjbXmzZsHvI+2RxlK3m3U/u7Vq5frhumdrn/VdVPdHFPbNyq4ruUrA0/fKT32pwL/ytTz9+2331rZsmVdW/BSZpzeGwAAZByFzgEAQLrUremUU05xJ+yjR492XaYUDDkZ3iCMlzcIopHrkhcwVxAj+bzJ5zuR91GgSN3n1OVLwQd/CppklOo/6fXaJ6phJerKp0CFuvU9+eSTvkDc559/btOnT3cFvlWTS/Wg1O3Oa9myZS5opQBUanLnzh3wuHz58pYnT54U8ykY9sgjj9iPP/7oC8B5eQMv2vbUtlUBKv86YN71Wrx4cYrPwmvLli2WHn2WX331lbuv7oHqLqjX+QeJ9D7iDXYlp8/MPyg1atQot8+1LxXYUn0ub7BKwTb9q8CXPmP/+l+qjaXPIXl9Me0b1R7zSv698O437TNvIM2rVq1a6e4DAADwH4JSAAAgXSp+7S3ErTpCquejUeZUb0d1f0Qn6P4ZQF6pFdYWZb6kJvky0povozL6PidKAR8FWjQqW2qBJNXOUo0o7R9vrSllSykopX8VLLnqqqt88ytLSvMq+yq1dffub6/URoJTppEyfxTAeeyxx1yATAGhOXPm2AMPPODeI7P0mvr167saV6lRFl16tD3KuvNSBpIyr1RXTJl33vfx1pVSdlhy/hld+h6KgqTKcjrttNNcFp+CUi+++KLt27fP/vzzT7f/vRS8Uj0ova+2ReutoJ6yn1QfK/m+YaQ9AACyD0EpAACQKQosqGi4Cmq//PLLvsLZykBKrUudNxsnVKngtQIRKkLuH1TyZjylR93tFJBS8Wx1G/OnoJ2ylZSZowCKAiYazU1d4RQQUdc9BVA0Qp6XAkgKmClDR9lpJ2Lq1KmuW57Wzb/At7Yx+bZ7t9VbIF2OHTvmCoo3aNAgYL3UPU4BneQZQidKXeA0ap0Kz6vYu7ox6n1EI9r5B7DSyoLTTdlQ+u55u4Bqm1XgXftZQVH/faAAokbJUxDMP4suI90P/ffbggUL3Ofkvy/0eQMAgIyjphQAAMi0c845x2VPqduZAjKiYIJqFWm0My8FMRSQCWXeekGvvPJKwHSNLpfRrnvVqlVztatUY8j/pppJymxSFz4vdeHbsGGDvfnmm27/JB+5TiMQKvCnQE3ybC49VrApPd4MK//XHzlyJMU2KvtNoxq+8cYbLhDlpfVN3j1SNa7Wr1/v5k1Oo9GpXtSJUO0uZY899dRTvs9DGV7q8ph8JEbx/36JAlHqojhz5kxfUEoj5BUqVMgtU5lOGnnwePtGXfbefvvtDK+zRmnUZ/jJJ5/4pqkbYEZHhAQAAP8iUwoAAJyQ++67z3U7GzNmjAvI3HjjjS77R0GFm266ydUKUr2fU089NUVNo1CigMUVV1zhAmwK+Chb56effrK///7bPX+8rCAFJpRhc+edd6b6vGpMaX8oY0fdyVQPSgENBUwUsFKARO/tT8G9J554wvr37++yldRdUvMry+mzzz5zxbT12uNR10BlrnXv3t2tm7ZB3eGSB7nUbe3RRx91gSHVcFLgSe+pz1Tr4b/t119/vetuqM9a26w6TcpCUiBS07///ntfF8/MUFBMhdoVMFPNKhVTV9aZ3k/d8bp06eLqWK1du9a++eYb977K0PNSIEpBNK2rtzuf9qv2gdZJAVT/mlvt2rVzj9WVUt0G1cVPgTZlZm3cuDFD66xaVVqHbt26uZpgyvjS/lVwDQAAZByZUgAA4IQoo0eBi2effdYFJxRMePfdd13WibpOqXuUTtQVWAh1Wu/bb7/dBT1Uc0lZRepaJ6rFlJZx48a5rn8KcKRFzynYpRpR3uV17NjRjRanLnMKhiSnLpGffvqpqzeljCkFobQ/FVDRazMS6Pn6669dsETdB/UZnX/++a6weHJ9+vRxATMFffQ+6gqn99KIdf7brnVRkXZlH82fP9/Nq3WbNWuW9e3b94S7Goq+L1r+sGHD3GPVK5s8ebIr4v7MM8+45WtfKwMq+UiD3uwo1YjSdief7v3Xvxi5MpwUxNI2KHCqQJ/eI6MUfNL66fNQRp2CiAqIpbZ/AQBA2nJ5sqrKJwAAQASZO3euNW7c2HXP69q1q0UTBdqUnaTAY2rd9QAAALICmVIAACDqqSZScurOp+wd/yLZkUg1wZJfo1Tm2I4dO1zXNwAAgOxCTSkAABD11O1KtYHUnS4uLs51tdNN3boqVqxokUyj3mkEPNUHU/e3OXPm2FtvvWX16tVz0wAAALIL3fcAAEDUmzRpkquPtGjRIlf4ulKlSq7Q9sMPP+yCVJFMhc1VDF2j1yk7qnjx4q4Yu2pHpVbvCgAAIKsQlAIAAAAAAECOo6YUAAAAAAAAchxBKQAAAAAAAOQ4glIAAAAAAADIcZFdufMEJSUl2YYNG6xQoUKWK1euYK8OAAAAAABA2FD58r1791q5cuUsJibtfCiCUqlQQCrSh38GAAAAAADITv/8849VqFAhzecJSqVCGVLenVe4cGEL54yvrVu3WqlSpY4bmQSiGe0EyBjaCpA+2gmQPtoJEB3tZM+ePS7ZxxtfSQtBqVR4u+wpIBXuQalDhw65bQjXLzKQ3WgnQMbQVoD00U6A9NFOgOhqJ7nSKYkU3lsHAAAAAACAsERQCgAAAAAAADmOoBQAAAAAAAByHEEpAAAAAAAA5DiCUgAAAAAAAMhxBKUAAAAAAACQ4whKAQAAAAAAIMcRlAIAAAAAAEB0BqVGjhxpVapUsfj4eGvevLnNnDkzzXnHjBljuXLlCrjpdf5uuOGGFPNccMEFObAlAAAAAAAAyIg4C7Lx48dbv379bNSoUS4gNWLECGvfvr0tXbrUSpcuneprChcu7J73UtApOQWh3n77bd/jvHnzWrQZu2CsbdmxxcpuLWtd6ncJ9uoAAAAAAACETlBq+PDh1rNnT+vRo4d7rODUN998Y6NHj7YHH3ww1dcoCJWQkHDc5SoIld48ke7u7++2rQe2WtWiVQlKAQAAAACAkBLU7ntHjhyx2bNnW9u2bf9boZgY93j69Olpvm7fvn1WuXJlq1ixol166aW2cOHCFPNMnTrVZVrVqlXLevfubdu3b7do480gS/IkBXtVAAAAAAAAQidTatu2bZaYmGhlypQJmK7HS5YsSfU1CjIpi6pBgwa2e/due/bZZ+3MM890gakKFSr4uu5dfvnlVrVqVVuxYoU99NBD1qFDBxfoio2NTbHMw4cPu5vXnj173L9JSUnuFq5i/j/m6PF4wno7gOyktkEbAdJHWwHSRzsB0kc7AaKjnSRlcN2D3n0vs1q0aOFuXgpI1alTx1577TV7/PHH3bQuXf7rqla/fn0XwKpevbrLnmrTpk2KZQ4dOtQGDx6cYvrWrVvt0KFDFq70JZajiUdty5YtwV4dIGR/LBXgVntRpiaA1NFWgPTRToD00U6A6Ggne/fuDf2gVMmSJV3m0ubNmwOm63FG60Hlzp3bGjdubMuXL09znmrVqrn30jypBaX69+/viq37Z0qpa2CpUqVcUfVwFRf778erL3FaReOBaKcffHV1VXsP1x98ICfQVoD00U6A9NFOgOhoJ/Hx8aEflMqTJ481adLEJk+ebJ06dfLtfD3u06dPhpah7n/z58+3Cy+8MM151q1b52pKlS1bNs2i6KmNzqcPP1y/ABKTK8ZXUyqctwPIbvrBD/f2DuQE2gqQPtoJkD7aCRD57SQmg+sd9K1ThtIbb7xh77zzji1evNgVJd+/f79vNL5u3bq5TCavxx57zP73v//ZypUrbc6cOXbdddfZmjVr7Oabb/YVQb/vvvtsxowZtnr1ahfgUjH0GjVqWPv27S0aC5177N9ufAAAAAAAAKEi6DWlOnfu7Go3DRw40DZt2mSNGjWyiRMn+oqfr127NiDCtnPnTuvZs6ebt1ixYi7T6rfffrO6deu659UdcN68eS7ItWvXLitXrpy1a9fO1ZtKLRsqkvlnSgEAAAAAAISSXB5vNWwE1JQqUqSIKywWzjWlqr1QzVbtWmUl85e0rfdtDfbqACFJXYY1EIDqroVraiyQE2grQPpoJ0D6aCdAdLSTPRmMq4Tn1iFTmVLEHQEAAAAAQKghKBUFNaXovgcAAAAAAEINQakIFvP/Hy+FzgEAAAAAQKghKBXByJQCAAAAAAChiqBUBKOmFAAAAAAACFUEpaIgKEWmFAAAAAAACDUEpSJYLqP7HgAAAAAACE0EpaKh+x6FzgEAAAAAQIghKBXBKHQOAAAAAABCFUGpCEahcwAAAAAAEKoISkUwakoBAAAAAIBQRVAqglFTCgAAAAAAhCqCUlEQlCJTCgAAAAAAhBqCUlFQ6FyoKwUAAAAAAEIJQakoyJQSuvABAAAAAIBQQlAqCgqdC134AAAAAABAKCEoFS2ZUnTfAwAAAAAAIYSgVJTUlCJTCgAAAAAAhBKCUhGMmlIAAAAAACBUEZSKkqAUmVIAAAAAACCUEJSKkkLn1JQCAAAAAAChhKBUBKOmFAAAAAAACFUEpSIYQSkAAAAAABCqCEpFMAqdAwAAAACAUEVQKkpqSpEpBQAAAAAAQglBqWjJlKLQOQAAAAAACCEhEZQaOXKkValSxeLj46158+Y2c+bMNOcdM2aMq5Xkf9Pr/CkAM3DgQCtbtqzly5fP2rZta8uWLbNoDkqRKQUAAAAAAEJJ0INS48ePt379+tmgQYNszpw51rBhQ2vfvr1t2bIlzdcULlzYNm7c6LutWbMm4Pmnn37aXnzxRRs1apT9/vvvVqBAAbfMQ4cOWbR236OmFAAAAAAACCVxwV6B4cOHW8+ePa1Hjx7usQJJ33zzjY0ePdoefPDBVF+j7KiEhIRUn1OW1IgRI+yRRx6xSy+91E179913rUyZMvb5559bly5dLFqQKQUAQGRZtn2Zff3319auejs7tfSpx51Xf/vf++s9G/PXGGtatqnd2fxOq1ikooWzY0nH7EjiEcufO7/7NzZXrMXGxNqBowds8dbF7n7DMg3dvHM3zbUP539oOw/ttCvrXmntq7e3vUf22ro966x4vuI2cflEN8/6veutVP5SVqlIJbuq7lVWvXj1YG8mAABRI6hBqSNHjtjs2bOtf//+vmkxMTGuu9306dPTfN2+ffuscuXKlpSUZKeddpo9+eSTduqp/x6YrVq1yjZt2uSW4VWkSBHXLVDLTC0odfjwYXfz2rNnj/tXy9ctEjKljiUeC+ttAbKL2oWC2bQP4PhoK8Ghff76nNdtwpIJ7u/6z2t+tsOJh939S065xNpUbeP+PXTskB08dtB+WfuLrdq1yv7c+Kct37ncNuzd4JYzdfVUGz5juNUqUctaVmpp51U5z86tcq6VKlAq29Z9za41NvKPkVYwd0G7o9kdVixfsQxv88QVE23bgW12frXzLaFggpv20aKP7J7/3WMb9220fHH53PZ6aX94s8LrlqxrR5KO2PIdy33Pv/XnW1a+UHnbfnC721dpeWjyQ25/Xn3q1VazeE2rWLiilSlYxj2XmJTogl7HQzsB0kc7AaKjnSRlcN2DGpTatm2bJSYmuiwmf3q8ZMmSVF9Tq1Ytl0XVoEED2717tz377LN25pln2sKFC61ChQouIOVdRvJlep9LbujQoTZ48OAU07du3RrWXf6OHjnqu79121aLOxj0xDggJH8s9VuiH30FxQGkjraSs5QF9Nzs52zMwjG258i/F8v8KQDz5d9fulvf7/tmaJnKnFq8bbG7vTHnDcsTk8dOK3OanVriVKtQsIL7t2X5li4jfdfhXfbViq+sVvFa1iyhWarL23ZwmxXIXcAFiGTfkX32w9ofbMKyCfbPvn9s+a7lLrNJnpz2pFUvWt1K5y9tZfKXsepFqtsFVS6wg4kHbciMIbZw+0KLj4u3RE+ibTkQWMKheHxx2390vwvGefkHpLz7w2vRtkWprq8yotLjv1+9tN76/q/du9ZlaHWs1tHtk6nrptrktZMtT2weO73M6XZz/ZutWZlmNm/dPNu+Zrut3LPSGpZqaM0Tmrt9CuBf/D0BoqOd7N27N0PzhV2UokWLFu7mpYBUnTp17LXXXrPHH3/8hJapTC3VtfLPlKpYsaKVKlXK1a8KV/4F4IsXL26li5QO6voAofqDr5MFtfdw/cEHcgJtJWcocPTV31/Zwz8+7IJHyeWOyW1F4ou4+8okOh7N27pKa+veoLv9vf1vG7twrMteOpr070UrZRPN2DjD3bzql65vLSq0sI8Xfey6vcnFNS92XdoqFKpg5QuXt6OJR11G1pt/vmlF44vazY1vdkGit+e+7brRpUbvuWTHEnfzemrWU4Ez/RdzCrDj0I5Up1ctWtVlhXnvNynbxOZunuvLkGpQuoHd2vRWt47Dfh1mf23+y4rFF3P7WNlSNzS6wS6vfblVK1bNZVBNXjnZZXZ5s8u8Vuxa4buv7n8fLPnA3fx9t/o7d1OASgFFf7VL1LbrG1xvNYrXsLMqnmVlC5VNfUOBELb/yH7X9bVQ3kK2dvdaq1OyjvubUDjvv+dK+l1Q21P5kH/2/GNzNs5x3/V6pepZgzINArIM+XsCpC8pAtpJ8gHpQjIoVbJkSYuNjbXNmzcHTNfjtGpGJZc7d25r3LixLV/+7wGI93Vahkbf819mo0aNUl1G3rx53S05ffjh+gVIXlMqV0yusN4WIDvpBz/c2zuQE2grWU9XQOdvmW/fLvvWvln2jc1YN8OXXeT9W64ubJ1P7exqHjVMaGgl85d088xaP8t1S/tk0Seua5wyjRonNLYzKpxhZ1c+2xolBB73PHbeY+7EctLKSfbT6p/swwUf2pb9gVlJWhfd/H297Os013/XoV327PRnU31OWVRX1L3CnazqBFUBpOQBG68ieYu4wJUCRqr3pG3U9k5ZNcVlSemxutINOHuAXVLrEjt87LAVyFPAlmxb4k6Q1Y1RJ73an5qmrCqdCHuPha6pf41bj9yxuVPtilfDaljzCs3tvrPus5/W/GTT/5nuglMKZOkzUQZVwTwF3X737/6nwJ9O0ncc/Ddwltr2Ldm+xB6e8rC7r6DVDQ1vsHOrnuu2ad7meXZ6udOtVeVWtvvQbvti6Re2YMsC181SXQi1bO/66vuhGlnatlaVWrmgmvYVcKLUXrzB7eRdedUW9f1UG5yyeopNXjU51aCzgr76fqr9ptU1Vl1wr657tbWt1tbNs+fwHisXV87iDsTZmt1rXLB8075NVqtkLTulxCluft3U5vV3R+tJtiGiUa4wP+7K6Hrn8qiVB5FqPTVr1sxeeuklX0SwUqVK1qdPnzQLnftT9z/Vk7rwwgtd0XRtTrly5ezee++1e+65x5f5VLp0aRszZkyGCp1rftWhUrpcOGdKdf64s6u/IKv6rrIqRasEe5WAkKPfHI32qd+IcP3BB3ICbSXrrd612rp/3t3ViUqNMpZGXjjSGpdtnG3rsHTbUlc4XQGjmetn2qwNs3w1mpSRpSCWN7MqPQoAdW/Y3brW7+qKsCsrKW/cfxf9dIym7Kv1e9bbl0u/dF36NO3Rcx61u8+42xck8r+opkCSglI68Q0WnSwrQFW3VF3XRfH75d+7zCqdNKt4uoJV7/z1jr36x6suU6RhyYZ2esXTXQaJTuQV5EqP6l0psOXfLVFBvcvqXOYy1JS5tmLnfxlbXhUKV3BdCssUKONO5vWv9qMKwLsT/0LlXEDulzW/uFpclYtUdt8nvS4uJuw6TCAT1La83VpVY06Bb32H1C5bVGxhq3auctmO3sxCfXfy5c7nvotqt/ptyEiX1+ykwLS+q7M3zHYBWAW1FJBV+9PvhNpg8/LNXTALgZ+9Auj67Vag3DsoRIn8JYK9aoiy4649GYyrBD0oNX78eOvevbvrfqfglEbO++ijj1xNKdWB6tatm5UvX97VfZLHHnvMzjjjDKtRo4bt2rXLnnnmGTeqngqm161b180zbNgwe+qpp+ydd96xqlWr2oABA2zevHm2aNGiDKWQRUpQqssnXWz8wvHu/so7V1rVYlWDvUpAyImEH/zsoCukg6YMsnlb5lmv03q5E0z9ucjs74hO4BZtXWRNyzUNONFE6FDmhU54lZnRu2lvq1y0cqrz0Vb+o6yAX//51XWJ04mdTvarF6vuy2BSJouylpTNo4yl08qe5trC0u1L7eDRg/buX++6Qt7qCpOcunjVLlnbZdNcXufyHM8O2Lxvs/2x4Q8X4KhZoqZbXwVVFED77Z/fLG9sXhfM0InijY1vdAEjtXFtq4IdWv+MUsBLlPEUKVJrJ8rc0kh/Osl/f/777rsQbApkqduiPq/WlVu70QfVNVMn/9P+mebrlqnfbv/Aojc7Tt8FfdcVIMhoAfvU/s4E6++C/p4pS1BBGwVjsqud6X22HtjqApT6TcjoflEwVu3MG6jVchZuXeiCC8oe0m/2xr0brX6Z+la2YFkXGFWm05tz/g0yKftIgSgFOZXN51+P7UTpO6LArOq+KbDl7d6rILPWVd/r08uf7rIeRb972g79Vn63/Ls0sySzgura6buqoLgyHhV89WYZZjVXeNqT5NqAfiu1P9SW9H1SEFp/Hy6tdanLVNV+UcAsowFgZaJtP7Dd/b5m5jupbNFxC8a5btUrdqxwf2tSG3ld+0nfeY1Qqt94Bdx18UGZphp5dPfh3fbDyh9s/ub5Vq90PfcZKliuYz8N/KDXciyXc5Ii4LgrbIJS8vLLL7vgkgqRq4vdiy++6DKo5JxzzrEqVaq4LCe5++67bcKECW7eYsWKWZMmTeyJJ55wXfi8tEmDBg2y119/3QWuWrZsaa+88oqdcsopGVqfSAlKXfvptTZ2wVh3f/kdyxniGBHtud+ec6NTPX7u43Ze1fOi6gc/Ozz202M2aOqgFNMfafWIPXbuY+5g6YslX7gMj64NuroDl+R0wn3uO+e6A+Qr6lxh468cn+7IVch6OkAeOGWgfbv8W1fPRicOOnBVFsXOgzvdAbWXTkRfvehVV59HB7jKsNXIY+2qt7OieYtGdVv5a9Nf9siUR2zhloXuZEwn5hmlk17Nn9aJobIB7mlxj118ysXu5AbhK72/KTrhVM0w/T6qm55OQpWFNXvjbCtdoLRdWedKO7Pima6N6hhO7dRL3Tg1iqHq9IyZO8Z1K9TrspuCIDqBVddH/Z4oSOkNMCj7Qlk3+q1Q8ENdESsWqeiCsQpa6QRWgU6tp07MFdhQkELdTtVlSyfECmjqwoe6qN7U+Cb3m1QoTyEXDFNQVPtA+8Z7kq7fML1WtC4KiqqGkZatk3kt77d1v7n31W+afsPKFSzn7v+56U/XPVXr5u26qtdpfXXT+/2w6gfXzVLbrYwcBZMUAFLWkPaDMhgVjNPn5B84WLlzpQu0KiCkrENv5qFO6hUEVEaPfge0XVqmurHpX72P/v3fiv+57fAGE5StqECh9qGCB9kV1NH2aDu0/tp33mCT3le//RfWuNB1N1VA6kQDEtru8QvGu89ev3HatulrplvNUjXdcvX90eejz1LtYfP+zS6wolFD9VmVyFfCbb9qumWElq/vjLrwqtac9qteq32rz1LP6SKCjk9002N9/lpPfS56f22rPjNlY2maAmya/tmSz1J0ez4efZc71OxgHU/p6DIX9d1SkOef3f+477a+w/pO6r0VFFagX4FGXZTQd0PzaH59Tvps1Ab1HVLwT90qdWFJ+zW76Tus9qF/1Y1c+0XrqcC2tkvBSQUC1Q1Z26DMNn2uOs7QNmvfzd001wW2FNRU0E6Zpv5tG5F3jhJWQalQEylBqa6fdnX1IuTvPn+7K55AJFLtjzNHn+m7CtStYTd3Nf+cKudYp9qdjvvHLjt/8HXw8+vaX61OqTru4Ed1G9RlRVeompRrkqFl6CdaxY51IKCDAO/VSJ0IKM0+q+mg745v73BD0GeGgh262n5n8ztd9shrs1+zz5d87g5MvHTgopoSyq5QkDyYV8kjnb4vz01/zl3J1UmYTmhOhg4g7z/zfmtUpJHVrljbvl/xvTtB1dVgdQeIpM/Sv3aJgq6qvfT3jr9dkM6/1lNW0MF4twbd7JGzH/EVL0d4O9G/KQoGqE35tyNNm75uuguu6ORaf0uS0wmfgv0KgCjApaCITgD1HdaJtGp56YRVXbIU1FL3LZ2EK0ikwFhq2RShQEEFbYN3/RTY1d9zZSV+8/c3AcH0YNE+9WaJ6Tc3te6VwaRgt4I56sKlLBcFAFRvTlmP+rug75qyY5J/r7zdvXS8kdHsruxqJ1oPHfPob5CC+jqGUqBKwUdlp6rbsWrk6TutbCGY+9wU6FN2nn4LFCzWb4uCYAp+KagUCtmaXgq86cKlvpsKHCrApcyt5Bma0ejIsSO2Y9sOglLRKlKCUtdPuN6licvSPkvd1R0g0ujKUpt327gD79TogEyp0zpYUSZC3+Z93YGush5UA+SmRjdZCU+JLP3B1x/71/54zZ6f8by7sqq0+nOrnGs/rvrRF6TRQULP03raiAtG+ArvJrd1/1br9nk31+1DlL1yySmXuCvMOsi8pt41rr6Cri5eVPOik7rStGz7MhdE0m+GCpt6qUuXuuRo3TNzZfB49JnoIFgBO2/xYAXtVD9FJ0n3nnmvO0lHxulP+bS101xAUPv2xi9udFeZ06Lvn7dOkA72+7Xo5wo6q2D2iRxQ6nO7tPaldl6V89zJrjJ+rqx7pYXCftH3efSfo23PkT3uSrOuPuv7lpy+j7d/e7vraqXMiuNlJug7qxM8BWK9V4PVRUdZMAoEuMK9u9dYQoEEt1+1DmqnKmZdMHdBF4C6+bSbyYqKQOF0ZVtBVnXVUWaKLpqoe6GCzMpYUkbDj6t/dNkzyt7wryumDAmNWqi/OQoI6HfnROiEWRdY1B6VyZLV1E5TO/lWhonW/dRSp7p5lHGmbkvpURAns0E8ZWHporAygNLLrtTvsrrj6aKajgsUZFQXPO9FHQWxFSTS75IGNFCGsn5v9bdZNx1ftK3a1mX86DdMI2mGagZKVrcT/dYrK01/w5SRs3jrYvcbnJHjFv2GK7jrrb+Vke+tjo0UGFMwRZ+Jgsf6fqjtaDnKCtN66PuibCbvQAjpUSBJwTbXJToTXS41EuK19a91gyPo9ellpSuIp0xNddFTJpayrXQRRl1Az6xwpjtnVLvW33Z1r9bxhI6b9fug+fW7kJ3UBnTx9ozyZ7guofqd0L7Rdzv5BVllZulY25v9lhFqQ97u8+rqGQpZ/EmeJPe560K7vk+66fjq3fPfDYu/J2khKHUSIiUo1e2zbvbevPfc/cW3L3Y1KoBIoCvCOgFXWnnnTzq7H/GMurfFvfZgywet1su1XFq+rsj8dOVPVq1CtZP+wddBzRtz3rAHfnggw6+578z77Onzn/43pdnjcVfDdbVVafzP/vasO6jKiP4t+9uTbZ7M8PvqCny/7/u5q2Y6ONHVZ386yHrhghdc4Mx7UPvCjBfsru/vSrEs/bboRD45XY3TAZKu0Gp4+8xQFxV1E9SJvPaLDjh0IkRh3pTe/vNtGz5juDvATIsyCEddPMrtQ5346Iqkvv86GfMGNrWfVfBay1KQV1cqO9To4GpkeOsTZoba2kOtHnJXtnVypQPM7K4tpowSFZvWyZ+2+cu/v0zx+6DvtrZLB6GTV05266OMAmUOpJe5cf9Z99vgcwb7MlGAcA5KZZSyr7xdn9R1KHm9G52g6iKKAkD6+/X7ut9t+c7l7kKDgrR6nX5nvF3mFCxRdyb/AXh0Aqy/earRoxNf/Z3Xya/m0QUZZX16T9L1O6YAs+olnV3pbGtZqaWbTyf+OtFU+9c01cfzvqe6FilwrGCC6z7mt/7aJgWOFdTQuirzVyfA+rusk1xlZenkUMvTfAoUqSeCfj/0N0k3rYsCA8poVgaVun01K9/M/bbovbxZb/qt1X39hmherfN3y75z63HRKRelGE3RG1RT8CyS5EQ78Y7EqaCrPkd9b/RZeLsJ6nkFDLVvFZRVIEsBD/1N0MUaBQZVn0kXKPR56abjGv0dy0y9Kn0HNdCACs1v2r/JfeYKpKgdaDkKDCmzXwFM/X3SOup5/e3U91nrqDalrHkFnDSPvuNaloKTl9W+zB075uTfJB3vKgiqC76uhtmuNW6/KrirrEYdW2u/6bhEQS0dA2j/q7yG9qE+E+0PXbTRvsnoYBp6rfaBlqfPVJ+dgml6vf5Gq43qffTbo+NGtW21Zc2rfaZ11jLUjr0jRSoApiCcfkP026PunprHW99Rwa6MfMbaJr2ffqfURVTvp/as3wH/QJrm0fdS+0YDkinoXyxfMfc76t9d29v1c3H3xVY2oWzY/j0hKHUSIiUodcPnN7hMEFl026JU076BcKM/fHVG1gkYoUj0B+fra752J9ruyu7G2a7mRkbc3vB2e7Hjiyf8g6+DXf1BvHTcpQFZRllFf1B1S60osr/XL37dOtfrbK/OetUdnNx1xl3uICo5HXRrIAQVSk2NDqxHXzraBS6SU7cJnTToAEonKTq51wGcDpbu/O5OF8BQMECZNxq63Zt+/f68912Gl9LuM0MZZjoxUB0FHbDp4Ov2Zre7K9y6Iqo/6J1qdbLrG15vkUZX8p74+Qm3b3XipauFGppbB2Gq46UTxad/fdpenvVyqq/XAa8+Qx0AK/ip4q8nSp/5xws/tl9X/2q/b/rd1VPRCd7xAmGp0cmaAo7KhkvryqROwvS9Veae6jfpwFYnwTrY/GbZNy6QpvagE0cdPOp7qINKHcw989szvnooJ0MH1fotUQBP+04n1OpyqgNtINqCUsGw9/BeW7Zjmevurt8KZSH+vv53FwDS7092dF/PLJ0Ye7tGRVIX5pxAO4F/gEslAXQsrTakAXZ04dk7KmSw6fhDgUgFwxRQcnUA921wgSgdn+j4Q8dC/uUq/ClAdn71890FWnXz/WTxJxkqqRAXE+eCjm+1ectOrXJq2LYTglInIVKCUuq+8fbct939Bb0XuCKSQHbTj7SKKusqz7Dzh2X51T3/DEAvXeH49tpvA4r566dNQRJ1R3vgrAfcVa9bv7k1zeU+eNaD7mS4R+MevqLdXy39yoZOG+pqIHWs1dEFRRTsUTaGrg7pCqi2Na36S8oyUo0ljc6lg2vv1dynpj3lMqE0kk569Efs267fuvfSqDq6WqxlKHCkrn3JuxL4dy/QqHmvXfJawPPaL30n9rWXZr6U4r3UHem5ds+5WgQnesVNn7u3iGtq9Af5kR8fcQcgyqLSFSjtb101Ulco1e0ZMGVAulfNdBVLBwZe/c7oZw+f/bArvq5sNW+BXH0n9FxGa3ilR5+lihTrqrmGas9qulr75C9PukCUApy68pZRuqqn/S8aRU8ZgVl54uY9iShRsoTljvu34LEyqpR1oEwCBYEVNF60bZG7cpleNxd18Xur41u+q5DKHlDbGPLLkAxfNc0IXUFW8WQFMvU38YP5H6TaXtTGlN3V+/Te7mDQm+Gh7xqQUZxsA+mjnSAjx0PKEFMGozcTSceOClDrGM+bVaSLRQpUK/tN9dK8xfD1t1tBY2+Wpz9lX+q4UNOVIadj9KyuGZlZCQUT3OAJygLVBUVddFPAK9zbCUGpkxApQambvrjJRs8d7e7P7/3v0J6RSNkE6mscCv2BYfbi7y+6oIcoI+LFDi+meRX0og8vcn8IvuzypcsCSY/6szd+rXFAv38Fm+b1nueuZKRn6C9D7aEfH/I9Vj/y5N3jlH6sIK7+sKlWlX+ffv2BUBqyruAc74T7+gbXW68mvVwQ6ngUZLrtm9tSPQFX3Rt1yfMOKZwadXdQRsnw6cNTDTK5bW4z1K2HsmUUvFPQ5sHJD7rn1G40Ip5OzBXgUZZVKHSP03a1f7+9+wyygrZTtcSUOaZRoby8XShSC8ApC0lp5TooUuadAhS6EqbRsLyfvWpHKPCo/ZuRgpz6c6uAqkbuUTaZum0qNVvfJ2UFLdi6wHULyezQ3do+dbVUBlmonESoBpm6bKoLjg4WVfNMdTU0LHjyg7Bbm9zq2qH2rTed/nh0kKkgWFpt8MKaF7p6a7rKqkCy2qJ/3Tatmz5XZZKpW4S3kK436AycDE62gfTRTnCyVLhdf7+Td8fVsaOOJdRVV9N17KVzDW8AS88lrz2l5SjYpcCWjvn0WMeiytpS97r0Rn3URS1dYNUFWR2jKNtaXfd0HKIyAjrm8NJx5wU1LnAXypSFrQuyB48ddBlVyY9BIqGdEJQ6CZESlOr5ZU9788833f2/bv3LXS2ONPrhOO+d81y/3ek3TaeLYpApsFFheIWA7jN3n3G362qj2jL+Xcn6/9Dfnvr1KXdfabGTu012V0QUFNJj7w+zrlxc+dGVLvPCf7n60dfn/Xz7510f9YzQz526Q6ldaCQxZUXVHVk3w3Wbjsc7fK+2MzNdfFRc+fGfH3f91jWy0HUTrnND/6orYkZH49I+GvLzEBs5a+S/oy+lkUKc3NuXvm03NLrBQpEODtRVS0FHBQz0h1tXvbSN6pasaToAULaOAh0ZucKl79b3133vghEKmLwy6xW335VJp32twvTqXqaDC41c55+Jld5nf0uTW1zmVFq/s/ru3TXxLntxZupB2rQoUKLgpLopqhi9gi2qfaTMMgUsdVVNmXz+tVmyy4kcHCXv0qIMQWVDKUCVHn0Wqiumz0sBQnX9VDaY6jppufq9UHceHQTqPVQ3RoFjtUOCSwiWSDiJALIb7QThQscbGgRCtVdd/bijB92FcF1AVM8CPfaOwpkaHZ/q+E2F73VcqUyo480fae2EoNRJiJSgVK+verluLDL3lrmuoGIk0Ve35dstXXcm0UhPr138Wooikcg5I2eOtD7f9UnzeZ0svnLhKy4I1OrtVmmObKUf7I+u+sg9r2LcXyz9IuB5nYAvuX1JlgwXu3TrUhv520jbnbTb3p33boZfp65u3iKsfZr1ccGBUBrO/vZvbrdX/nglzfmGnDfEBdAiwaz1s1ymmFK7FQDVFSdl6Kjula6UqXhuVnUH05UsBUFUbyg1T573pAuaaJhqFbrU1TVdIVOtrXf/ytj3SyMs6iqbsoEGth7oCzh5P9tgycqDI31WGulOGWL+I2JpBD9lGuoKon7LGRIa4SYSTiKA7EY7AaKjnewhKHXiIiUodevXt9prs/+tJzOn1xw3rHsk+Wn1T3bOO+ekmD6712xfTSDk7JUEZR0dbxh6UdE+jc6TfISJ1KgvdfKuTOqq9OU1X7ouOln9g6+Rcc579zxfsOyRVo+4Ydt14qyh3JWZoRo6V9S9wqXehjJtw6NTH3WpyApwKBNIXceUtqy6UcquiRYKgGiURnWTyyiN4qKaV+r2rIwdZVkp4KUaBLqvq2b6vqiAuwJOmVmuRm/7ac1PvtcpE0jZWrpwoGVnpCtqpBwcTVoxyWW/aR/cd9Z9bh8D4SwSTiKA7EY7AaKjnezJYFwl+MVDkG108uOVXsHZcDRx+cRUp6tQMkGpzFF9J9XkOl5BX6Wc9v2ur8sSeabdM+5fBWlU30lDH6t4tTcgpQyVK+tcmWrWlP+w65qvbsm6vowedc1RVom6Y0rygJTqz6h2TlYFpJI7q9JZrmC6TpKvrX+ty76Tvmf8WyMrnL5X6ir5ZJsnA6Y91fYpl0ac2oh8kUzdKf933f9cAfEXfn/BZS8p+PNZ589cf3+N8Pbz2p/d919FtxMKJFj3Rt3dML5pqVWylrt1b9jd1ShSVur4heOPux4KqL5+yesuINg/qb8rDK7grIqSh8JIUsGgEWl0AwAAQHQiKBXB/Ot4+BeGjhRT16Q+tLxqj6RFwbloPClPrWB4x3Ed3chuKv58+fjLXQHoX3r8kmY9JJ3Qe2uUKetGJ+ydxnVy3y0VGVR9Ly9lfZxf7XwXYNKoGRotI3nNnx6NergAU6G8hVxtJ43apRHulD3S4YMOvvlU80dFktXVLCe6Zrap1sbdIvU3IVq/+wr6PH7e4+57NGPdDFePTEFOBUZPhrrTeb8z6tJ5y9e3uG53HWp0cF0Hlfmj723ZQmXt9HKnW+Wild3rVJdAWXgAAABANKP7XgR337vj2zvs5Vkvu/u/3/z7ca/6hxsVOS76VFF38lenZB17tt2zbiQ3b9HhDfekHEZdhejOeOsMV2zuu67fWesqrS1adRzb0Q1rn9wVda6wT67+JNUsqWLDiqVZA8rfyx1eTjEKmAoQKxtLBapVT6rP6X2OO9reB/M+cMGsLvW6uGFRs1MkpMYidGzat8kF/5RxFWloK0D6aCdA+mgnQHS0kz1034N/QdxIiz2qNowCUqJMB3XnOrfKuW5EJ42OsHX/VitVoFTAazSS17zN89z9Cz+80Pb13xeVIzRp36QWkJJPF39qY+ePdfWTlFVWsXBF15Wuy6ddMhSQev+y961rg64ppusEXTeNpJURWkZqywFCnbKvAAAAAGQMQako6b4XaTWl/EdsalP1365WKpTrHWZ8/pb5dl7V8wJe41/kWJk/mjf5PJHq8LHD9sqsV+yzJZ/ZL2t/Oe6810641ndfdaMUjPL//qjo8/q961MdzY1AEgAAAAAgowhKRUmh80iqKZWYlOiCK5IvLp9vFLQGZRr45vnm729s2K/DXFcaFTNWzaOf1/wcsBwVGY6WoNSQX4bY4z8/nmJ6z9N6uv1QpmAZV+/Gu1+9NFKbV6n8pVzXvjMrnmlvzXnL1YjqXK+zTf9nurvfqXanHNkWAAAAAEBkICgVwSI1U2rq6qmuRpF0qNnBCuQp4Bs5zWv4jOG++4N/GuwKas/dNDdgOd8t/84FuDTqXCTTZz/6z9Eppt935n329PlPuxHaCuUp5LoyXvD+Bb5sM3+NExrb510+t0pFKrnHtzS9xffcJbUuyeYtAAAAAABEIoJSEcy/XlIkBaWen/G87/7Vda8OGKVNRc8Xb1scMP9HCz+yjqd0TJEtppHhnvj5CRvQekBAAC/SKIjn7W5XME9Ba5TQyGqXqO2620nJ/CV9807oPMEe++kxlxV102k3uRH3iuQtYg+0fMDy584ftG0AAAAAAEQeglIRLMZiIq7Q+aKti1zBclHWzuV1Lg94/rLal9niaYtTdEG7+av/hl4/u/LZvq58j/70qAvKJB8tLpK8P+993/03L3nTdblLS9H4oja8/X9ZZiMuGJHt6wcAAAAAiE6Rmx6CiOy+p1pRXn2b97XcsbkDnu/RuIcVyF3A1dO6q/ldvukaQc7rkVaPuHm8PlzwoUWqg0cP2ieLPnH31UWvY62OwV4lAAAAAAAcMqWipPtepBQ6n7Vhlu/++dXOT/F8jeI1bH7v+bb3yF5X+Lxw3sL22M+PBQTqWlVuZSvuXGEJz/07dPvv6353QStlCUWaL5d+6faFXFn3SsuXO1+wVwkAAAAAAIdMqQgWiZlS3qCU6hvVKVUn1XmqFqvqG4lvYOuBrj6SV4l8JSw+Lt6NNqdMK0n0JNoDkx6weZvnWSRREfenfn3K9/i6BtcFdX0AAAAAAPBHUCqCqQtbJNWU2rp/q63etdrdb1K2icXFpJ/op5H1zq16ru+xCn17ta/e3nf/9TmvW8NRDW3oL0Nt3Z51ruZUuO+z9+a95xtxUKPnnVPlnGCvEgAAAAAAPgSlIlikZUr5d907vdzpGX7d4HMGW57YPO7+Q60e8k1vW62ttarUKmDeh358yCo+X9Faj2ltw6f/V/A7VP246ker/XJtF1B76feXAgJpo/4Y5bv/fPvnI3qEQQAAAABA+OEsNYJFWk2p+Zvn++6fVva0DL+udsnaNq3HNPv06k+tR6Mevukqkv5Dtx/s5Q4vW+6YwILpcu+ke238gvF2JPGIb9rHCz+2Gz6/wdbsWmPBtmTbEmv/fntbun2p63p458Q77bGf/q2ftWrnKvt9/e/ufsMyDa11ldZBXlsAAAAAAAIRlIpgkZYptXjbYt/9uqXqZuq1p5c/3S6vc7nrzudPGVS3N7vdDj580JqWa5ridV0+7WKDpw5297fs32JdJ3S1d/56x6q8UMUFhN6Y/Uaa+/bQsUO2YMuCbOkG+Nxvz1mdkXXsWNKxgOmDfxpsy3cst48WfuSb1vnUzln+/gAAAAAAnCyCUhEs0oJSygzyqlWyVpYuW8GqEe1HpPrc0GlD3b8Tl0+0o0lHfdP/t+J/1uvrXr6gVXJXfXyV1X+1vt3wxQ1Zuq7/7P7HHpnyiO9x3ti8dm39a30ZcWPmjrFxC8f5nu9cj6AUAAAAACD0EJSKYJFU6Fzr7w1KVS5S2Y2+l9XOqnSWfXTlR3ZulXMD39s8rrved8u/S/V1L818yY4m/hes8naf+/rvr939d/961yYsnuB77s+Nf1rf7/q6f0/E4z8/7rKwpEDuAq4L4rPnP2uxuf7NAhvyyxBfgfNm5ZtZtWLVTuh9AAAAAACI+KDUyJEjrUqVKhYfH2/Nmze3mTNnZuh148aNc3WTOnXqFDD9hhtucNP9bxdccIFFm0jKlJqzcY7tPrzb3a9Tqk62vc9Vp15lk7tNtr7N+wZMH/3n6IDAkr+dh3ba1NVTfft42LRhVu3FwEBQl0+62KeLPnXBNWVQvTjzRbv8o8stMSkxU+unYNT4hePd/UJ5Ctnau9day0otrWyhstahZocU83c5tUumlg8AAAAAQNQEpcaPH2/9+vWzQYMG2Zw5c6xhw4bWvn1727Jly3Fft3r1arv33nutVavA0dO8FITauHGj7zZ27FiLNuFS6Fx1l27+8mZ7ePLDLmiz7cA2O2fMOdZxbEcXhPlr01/W9I3/6j3VLlE72/fbiAtG2C89fvFNe+znx3wFzy+qeZHNvHmmfXzVx77n273fzvINyWfFhxW3Byc/mGKZ6vZ3x3d32B8b/rAVO1e4aat3rbbJqyZnat2+W/ad7Tm8x91Xjazi+Yr7nnuk1X9d+kTF268+9epMLR8AAAAAgJwSZ0E2fPhw69mzp/Xo8e+oaKNGjbJvvvnGRo8ebQ8+mPLkXhITE61r1642ePBg++WXX2zXrl0p5smbN68lJCRYNAuHTKlf1vxirce09gXNzqt6nn2+5HP7ac1PvgylvYf3BrymXul6ObJuzcs3d10F1+xeEzCS3xuXvOEyk1RsvUjeIr4MLgWt/Efqk/KFylupAqVcd7qN+zZa/8n9A57X9rWr3i7Nddi0b5O9/efbdvEpF1v9MvXt/fnv+57rUi8wC6p5heZ2Tb1rbOyCse6zf/2S16184fInvR8AAAAAAIi4oNSRI0ds9uzZ1r//fyfqMTEx1rZtW5s+fXqar3vsscesdOnSdtNNN7mgVGqmTp3q5ilWrJidd9559sQTT1iJEiVSnffw4cPu5rVnz7+ZKElJSe4WtvySo9RNLBS3RV3i/LO4Zq6faS/Petn3eNyCcQEj7ZXMX9KuqHNFjmyLajSp+PllH13mHpcpUMYmXTfJ/av3zxeXz8ZdMc66ftbVdhzcEfBaPVe/dH0b2HqgC0b1/Kqnm548M0pd8WZtmGVX1rnSHmr5kMsMU/aTd5TAGz6/wb5f8b098csT9sFlH7iAnXddzq18bor98PrFr1uzcs3caIMtKrQIyc881GgfKUOPfQUcH20FSB/tBEgf7QSIjnaSlMF1D2pQatu2bS7rqUyZMgHT9XjJkv9GWvM3bdo0e+utt2zu3H8LOafVde/yyy+3qlWr2ooVK+yhhx6yDh06uEBXbOy/J/v+hg4d6rKuktu6dasdOvRvQelwtH//ft99ZZOl1yUyGBZuXBjw+MN5HwY8nrdpnuVK/K8b4pQrp9ih3YdM/+WEM4qdYf2b9bdp66fZQ80fsriDcbbl4H/7sVGhRvbL1b/Ygm0LrGyBsjZnyxw7PeF0q1bkv5pS23Jvc0Xn0+pCuXLnSnv6t6fdTS6rcZk9e/aztufIHheQkgNHD/iCY9KtTjfbuX1nqsvrUvXfDKpQ/LxD9cdy9+7d7kdfQXEAqaOtAOmjnQDpo50A0dFO9u4N7PEUst33MrtR119/vb3xxhtWsmTJNOfr0uW/bk3169e3Bg0aWPXq1V32VJs2bVLMr0wt1bXyz5SqWLGilSpVygoXLmzhqnCh/9a9YOGCLnMs1KzdvzbgsYI7/nYf2W0/r//Z3deIe3Uq1QmolZUTnmj/xHGfL22lrXalf+tcnVXrrFSfV/e7r/7+yjft4ZYP25BpQ1Jd3mfLP3O3tOSNzWv9zu5npQuE3ucZrj/4+k6pvYfrDz6QE2grQPpoJ0D6aCdAdLST+Pj40A9KKbCkzKXNmzcHTNfj1OpBKetJBc4vueSSFClhcXFxtnTpUhd8Sq5atWruvZYvX55qUEr1p3RLTh9+uH4BxNsFTPSFDrVtOZZ0zFf0OyOqFK2SaqZbOFDh9EkrJ7nueQomDTxnoP2+4Xf7YeUPmV5Wn2Z9LKFQdNdLy2re9hFqbQQINbQVIH20EyB9tBMg8ttJTAbXO6hblydPHmvSpIlNnjw5IMikxy1atEgxf+3atW3+/Pmu65731rFjRzv33HPdfWU3pWbdunW2fft2K1u2rEWTUC90vmbXGheYyqiqRatauKpWrJpNuHqCdazV0cZfOd7yxOZxo/d9evWntvvB3W56WlQbSiP+San8pezhVg/n4JoDAAAAAJA9gt59T93munfvbk2bNrVmzZrZiBEjXC0k72h83bp1s/Lly7u6T0r/qlcvcOS1okWLun+90/ft2+fqQ11xxRUu20rZVffff7/VqFHD2rdvb9FEdYy81Bc11CzbsSzN5+Ji4lwg5+/tf0dEUEo61Ozgbl5F44va5XUud/cVoPp17a+uEPqQX/7r1qfR/d6//H2XXaWi7+dUOceK5SsWlPUHAAAAACCiglKdO3d2BcUHDhxomzZtskaNGtnEiRN9xc/Xrl2bqXQ1de+aN2+evfPOO664d7ly5axdu3b2+OOPp9pFL5KFcqaUgmRvz33b91jBGY3E51WhcAXrUKNDQFBK3fcilTKnzq16rrs9cvYjtufwHhszd4zLoFJwTm4+7eZgryYAAAAAAJETlJI+ffq4W2pUnPx4xowZE/A4X7589v33/45YFu38C4KnNfJbsHyx9Av7aOFHvsc9T+sZEJSqXKSydW/Y3V6b/ZqrwyTNyjezaBAfF+9u9591f7BXBQAAAACAyA5KIfuDUqGWKfXN39/47t/b4l5rXz2wa2XlopWtcdnGtuLOFfa/Ff+zkvlLWstKLYOwpgAAAAAAIDsQlIpgodx9b8n2Jb77A1oPCAigSeE8hd2/5QqVsxsa3ZDj6wcAAAAAALJXeI4tiLAvdL5k2xJf0Klw3sK+wt9eyYNUAAAAAAAgshCUimChmim17cA2d5M6Jev4pr/b6V1fMO22028L2voBAAAAAIDsR/e9CBaqhc69WVJSu2Rt3/2LT7nYvr/ue5cx5T8dAAAAAABEaVBq3rx5GV5ggwYNTmZ9EAWZUmkFpRREa1e9XZDWCgAAAAAAhFxQqlGjRi5goLpE6dX6SUxMzKp1Q4TWlFq4ZaHvPhlRAAAAAABEpwzVlFq1apWtXLnS/fvpp59a1apV7ZVXXrE///zT3XS/evXq7jmEjlDNlPpz05+++w3LNAzqugAAAAAAgBDOlKpcubLv/lVXXWUvvviiXXjhhQFd9ipWrGgDBgywTp06Zc+a4qSCUqFSU0oZW3M3zXX3yxcqb6UKlAr2KgEAAAAAgHAYfW/+/PkuUyo5TVu0aFFWrReyuPteqGRKrdq1ynYf3u3uNy7bONirAwAAAAAAwiUoVadOHRs6dKgdOXLEN033NU3PIXSEYve9Pzf+13WvcQJBKQAAAAAAolWGuu/5GzVqlF1yySVWoUIF30h7Gp1PBdC/+uqr7FhHnCD/ovShUuh83ub/RnIkKAUAAAAAQPTKdFCqWbNmruj5Bx98YEuWLHHTOnfubNdee60VKFAgO9YREZQppe57XrVK1grqugAAAAAAgDAJSh09etRq165tX3/9tfXq1Sv71gpZXlMqVAqdr9291ne/YuGKQV0XAAAAAAAQJjWlcufObYcOHcq+tUHEZ0p5g1JF44taobyFgr06AAAAAAAgXAqd33777TZs2DA7duxY9qwRsiUoFQo1pRQYW7dnnbtfqUilYK8OAAAAAAAIp5pSs2bNssmTJ9v//vc/q1+/foo6UhMmTMjK9UMWFToPhUypzfs229Gko+4+QSkAAAAAAKJbpoNSRYsWtSuuuCJ71gYR3X3Pv55UpcIEpQAAAAAAiGaZDkq9/fbb2bMmiPhC5wFFzotQ5BwAAAAAgGiW6ZpSCB8hnSlF9z0AAAAAAKJapjOl5JNPPrGPPvrI1q5da0eOHAl4bs6cOVm1bsjCmlKhUOh89a7VvvsEpQAAAAAAiG6ZzpR68cUXrUePHlamTBn7888/rVmzZlaiRAlbuXKldejQIXvWEhGRKbVsxzLf/RrFawR1XQAAAAAAQJgFpV555RV7/fXX7aWXXrI8efLY/fffb5MmTbI777zTdu/enT1riZMOSoVCTam/t//t/i2Up5CVKVAm2KsDAAAAAADCKSilLntnnnmmu58vXz7bu3evu3/99dfb2LFjs34NkSWFzoOdKXX42GFbs3uNu1+zRM2AroUAAAAAACD6ZDoolZCQYDt27HD3K1WqZDNmzHD3V61aFRJ1ixCa3fdW7lzpW4dTSpwS1HUBAAAAAABhGJQ677zz7Msvv3T3VVvq7rvvtvPPP986d+5sl1122QmtxMiRI61KlSoWHx9vzZs3t5kzZ2bodePGjXMZN506dQqYruDYwIEDrWzZsi6bq23btrZs2X/1jKJFKBU6968nVbN4zaCuCwAAAAAACMPR91RPKinp34yX22+/3RU5/+2336xjx452yy23ZHoFxo8fb/369bNRo0a5gNSIESOsffv2tnTpUitdunSar1u9erXde++91qpVqxTPPf30064g+zvvvGNVq1a1AQMGuGUuWrTIBb6iRShlSnnrSQmZUgAAAAAAINOZUjExMRYX918sq0uXLi4AdMcdd7jC55k1fPhw69mzp8u6qlu3rgtO5c+f30aPHp3maxITE61r1642ePBgq1atWsBzyghSYOuRRx6xSy+91Bo0aGDvvvuubdiwwT7//HOL1ppSwS50vnDrQt99glIAAAAAACDTQamzzz7bdY2bPHmyHTp06KTe/MiRIzZ79mzXvc63QjEx7vH06dPTfN1jjz3msqhuuummFM+pttWmTZsCllmkSBGXhXW8ZUaiUMqU+mPDH+7fuJg4q1+6flDXBQAAAAAAhGH3vXbt2tnPP//sMpyOHTtmTZs2tXPOOcdat25tZ511lstyyqht27a5rKcyZcoETNfjJUuWpPqaadOm2VtvvWVz585N9XkFpLzLSL5M73PJHT582N289uzZ4/5VN0VvV8Vwp6BUsLZl/5H9tmjrIne/Xql6ljc2b8TsV4Q/fReVYcl3Ejg+2gqQPtoJkD7aCRAd7SQpg+ue6aCUusWJAlKzZs2yn376yaZOnerqOCnL6WSzp45n7969dv3119sbb7xhJUuWzLLlDh061HUFTG7r1q3Zuj3ZbdfOXb77+/bvsy1btgRlPX7f+LsvU6tusbpBWw8grR/L3bt3ux99/YYBSB1tBUgf7QRIH+0EiI52snfv3uwJSnmtXLnS5s+fb3/99ZfNmzfPChUq5Lr2ZYYCS7GxsbZ58+aA6XqckJCQYv4VK1a4AueXXHJJiuib6lypOLr3dVqGRt/zX2ajRo1SXY/+/fu7Yuv+mVIVK1a0UqVKWeHChS1clThcwndfoxAer3B8dlqxcoXvfqvqrYK2HkBq9BuikSrV3sP1Bx/ICbQVIH20EyB9tBMgOtpJfAYHmct0UOraa6912VHq7qYglLrtPfjgg66guHZaZqgwepMmTVx9qk6dOvl2vh736dMnxfy1a9d2gbDkmVuKwL3wwgsukJQ7d24XmNIyvEEoBZl+//136927d6rrkTdvXndLTh9+uH4BJDYmNqDQebC2Zen2pb77p5U9Laz3KSKTfrvCvb0DOYG2AqSPdgKkj3YCRH47icngemc6KDVu3DiX4XTzzTfbeeedZy1btsxUHanklKHUvXt3V5uqWbNmbuS8/fv3u9H4pFu3bla+fHnXxU6Rtnr16gW8vmjRou5f/+l33XWXPfHEE1azZk2rWrWqDRgwwMqVK+cLfEWLUCl0vn7vet/9SkUqBW09AAAAAABA6Mh0UGr79u32yy+/uDpS6va2ePFil5GkYue6qRB6ZnTu3NnVbtKIfipErmVNnDjRV6h87dq1mY4M3n///S6w1atXL9u1a5cLnGmZGU0fixT+mWvqixosG/ZucP/G5oq1UvlLBW09AAAAAABA6MjlOcloxfLly11W0gcffOC63mk0vXCn7n5FihRxhcXCuabU7PWzrembTd39W5vcaq9e/GpQ1iPh2QTbvH+zVShcwf65+5+grAOQFv1uqfi+ap2Fa2oskBNoK0D6aCdA+mgnQHS0kz0ZjKucUKaUd8Q93RYtWuS60Kn4uOpLITS776mmVDAcTTxqW/b/O9peuULlgrIOAAAAAAAg9GQ6KKVInWpKtWrVynr27Om67NWvXz971g5Z1n0vWDWlNu3b5AuIEZQCAAAAAAAnHJSaN2+enXrqqZl9GYKdKRWkmlLeelJSvlD5oKwDAAAAAAAIPZnunKiA1LFjx+yHH36w1157zfbu3eumb9iwwfbt25cd64gTlMuCnynlH5QiUwoAAAAAAJxwptSaNWvsggsucKPiHT582M4//3wrVKiQDRs2zD0eNWpUZheJHMiUSrLgBKXW713vu09QCgAAAAAAnHCmVN++fa1p06a2c+dOy5cvn2/6ZZddZpMnT87s4pBDNaXovgcAAAAAAMI6U+qXX36x3377zfLkyRMwvUqVKrZ+/X9ZMQixTKkgdd/buG+j737ZQmWDsg4AAAAAACACMqWSkpIsMTExxfR169a5bnwI0ULn/z8CXk7bvG+z736ZAmWCsg4AAAAAACACglLt2rWzESNGBHQRU4HzQYMG2YUXXpjV64cwL3S+ef+/QanYXLFWIn+JoKwDAAAAAACIgO57zz33nLVv397q1q1rhw4dsmuvvdaWLVtmJUuWtLFjx2bPWuLkM6WCVFNq075N7t/SBUoHrA8AAAAAAIhumQ5KVahQwf766y8bP368+1dZUjfddJN17do1oPA5QqvQeTAypfSeW/ZvcffLFKTrHgAAAAAAOImglHtRXJwLQunmtXHjRrvvvvvs5ZdfPpFFIgJrSu08uNOOJR1z96knBQAAAAAATjgotXDhQpsyZYobee/qq6+2okWL2rZt22zIkCE2atQoq1atWmYWhwivKeWtJyVkSgEAAAAAAH8ZLvLz5ZdfWuPGje3OO++0W2+91Zo2beoCVHXq1LHFixfbZ5995oJWCM1MqWAEpbz1pCShQEKOvz8AAAAAAIiAoNQTTzxht99+u+3Zs8eGDx9uK1eudAGqb7/91iZOnGgXXHBB9q4pwq7Q+eZ9ZEoBAAAAAICTDEotXbrUBaUKFixod9xxh8XExNjzzz9vp59+ekYXgSgrdB7QfY+aUgAAAAAA4ESCUnv37rXChQu7+7GxsW6kPWpIhbZgFzonUwoAAAAAAGRJofPvv//eihQp4u4nJSXZ5MmTbcGCBQHzdOzYMTOLRAQXOt+yf4vvfukCpXP8/QEAAAAAQIQEpbp37x7w+JZbbknRXSwxMTFr1gxhX1Nq28Ftvvul8pfK8fcHAAAAAAAREJRSZhTCS7BrSm0/sN13v0T+Ejn+/gAAAAAAIAJqSiG8M6WCEZTaduDfTKlCeQpZntg8Of7+AAAAAAAgdBGUimDBLnS+/eC/mVIl85fM8fcGAAAAAAChjaBUBAtmofPEpETbcXCHu0/XPQAAAAAAkBxBqQgWzELnuw7t8gXCyJQCAAAAAADJEZSKYFld6HznwZ12NPFoprruSYl8ZEoBAAAAAIAsCErt2rXL3nzzTevfv7/t2PFvF605c+bY+vXrT2RxCIOaUq/Pft2KP13c2r/f3o4lHctwkXMhUwoAAAAAAJx0UGrevHl2yimn2LBhw+zZZ591ASqZMGGCC1KdiJEjR1qVKlUsPj7emjdvbjNnzkxzXr1P06ZNrWjRolagQAFr1KiRvffeewHz3HDDDS5LyP92wQUXWLTJqppS6vp353d3uvtTVk+x9+e9n+5rth8gUwoAAAAAAGRhUKpfv34u6LNs2TIXRPK68MIL7eeff87s4mz8+PFumYMGDXLZVg0bNrT27dvbli1bUp2/ePHi9vDDD9v06dNdgKxHjx7u9v333wfMpyDUxo0bfbexY8daNGdKnUxQaun2pXY48bDv8ZBfhqRbo4pMKQAAAAAAkKVBqVmzZtktt9ySYnr58uVt06ZNmV2cDR8+3Hr27OkCS3Xr1rVRo0ZZ/vz5bfTo0anOf84559hll11mderUserVq1vfvn2tQYMGNm3atID58ubNawkJCb5bsWLFLNpkVaHzb5d9G/B4+Y7ltnHfxlTnPXj0oD069VG78csbfdMISgEAAAAAgJMOSinYs2fPnhTT//77bytVqlSmlnXkyBGbPXu2tW3b9r8Violxj5UJlR4FWiZPnmxLly61s88+O+C5qVOnWunSpa1WrVrWu3dv2779v+5k0SKrCp1PXT01xbQt+1PPZFMW1eCfBgdMK5Gf7nsAAAAAACBQnGVSx44d7bHHHrOPPvrIF/hYu3atPfDAA3bFFVdkalnbtm2zxMREK1OmTMB0PV6yZEmar9u9e7fLzDp8+LDFxsbaK6+8Yueff35A173LL7/cqlataitWrLCHHnrIOnTo4AJdmj85LUc3L2/QLSkpyd3ClSfJExDAO9Ft8a8P5bVx70ZrULpBiunT1gZmrEmFQhXCej8isum7eTLtA4gWtBUgfbQTIH20EyA62klSBtc900Gp5557zq688kqXhXTw4EFr3bq167bXokULGzJkiOWEQoUK2dy5c23fvn0uU0o1qapVq+a69kmXLl1889avX99171NXP2VPtWnTJsXyhg4daoMHB2b3yNatW+3QoUMWCV+Cw0cPp1mnKz17DqbMjFu+cbk1LtQ4YJoazV+b/vI9vqjqRdagVAMrfKzwCb83kBPtRIFufX+VqQkgdbQVIH20EyB9tBMgOtrJ3r17sycoVaRIEZs0aZKr4aRC4woMnXbaaQFd8DKqZMmSLnNp8+bNAdP1WHWg0qIPpUaNGu6+Rt9bvHixCyx5g1LJKWCl91q+fHmqQSmNGqjAln+mVMWKFV13xMKFC1s4f5FVV0pd99bvX++2x79LX0Yd9vyXReZ1KPaQC0z6W79nve06/O9ojO2qt7Mvr/3yJNYeyLl2onah9hGuP/hATqCtAOmjnQDpo50A0dFO4v0GxsvSoJRXy5Yt3e1k5MmTx5o0aeKynTp16uTb+Xrcp0+fDC9Hr/HvfpfcunXrXE2psmXLplknS7fk9OGH6xfAK5fl8tWAunPinTbyopGZXsb+o/tTTNt6YGuKfbNg6wLf/YZlGob9vkP00A9+JLR3ILvRVoD00U6A9NFOgMhvJzEZXO9MB6VefPHFNHeYImHKYFLR8dRqN6VGGUrdu3e3pk2bWrNmzWzEiBG2f/9+NxqfdOvWzdWPUiaU6F/Nq+54CkR9++239t5779mrr77qnlfmlrriqb6Vsq1UU+r+++9369W+fXuLNsqUSvQkuvuv/PHKiQWljqQMSm3eH5jdJvM2z/Pdr1+6fqbfBwAAAAAARI9MB6Wef/55V2vpwIEDVqxYMTdt586dlj9/fitYsKCrHaTuclOmTHFd4NLTuXNnt7yBAwe62lTqjjdx4kRf8XMVUfePsClgddttt7nsp3z58lnt2rXt/fffd8sRBcPUrfCdd96xXbt2Wbly5axdu3b2+OOPp5oNFek89l+x8xPlzZSqVKSSrd29Ns3R95ZuX+q7X690vZN+XwAAAAAAELkyHZR68skn7fXXX7c333zTZSuJajXdcsst1qtXLzvrrLNcofG7777bPvnkkwwtU1310uqup+Lk/p544gl3S4sCVd9//32mtimSHUs6dlKvP5J4xLeMioUrurpRyrzavC9lptS2A9t898sVKndS7wsAAAAAACJbpoNSjzzyiH366ae+gJSoa9yzzz7rusytXLnSnn76aXcf4c+/617BPAWtdIHStnHfxlQzpXYc3OG7Xyzfv1l0AAAAAAAAqcl0xayNGzfasWMps280Td3vRF3mMjr8H0Kbf5HzAnkKuKCUKCil4SlTC0oVylPI8sTmyeE1BQAAAAAAER2UOvfcc11XvT///NM3Tfd79+5t5513nns8f/58q1q1atauKbJEYtK/Rc9PJFOqQO4CllAwwd0/mnTUV1/Ka/vB7e7f4vmKZ8m6AgAAAACAyJXpoNRbb71lxYsXtyZNmrjC4bppNDxN03OigufPPfdcdqwvTpKCSZlx4OgB3/38ufPbmRXP9D0ev3C8776ypryZUgSlAAAAAABAlteUSkhIsEmTJtmSJUvs77//dtNq1arlbv7ZVAhNKlweHxd/Yt33chew6xpcZ4OmDnKP3/nrHbvvzPssV65ctu/IPl9BdIJSAAAAAAAgy4NSXrVr13Y3hF9Q6oS77+UpYNWKVXPZUr/985st2rrIFT3XSHv+Rc4JSgEAAAAAgGwJSq1bt86+/PJLW7t2rR05EhjkGD58+IksEqEalEqWKSWnJZzmglKyZtca23Vol7Uc3dI3H0EpAAAAAACQ5UGpyZMnW8eOHa1atWquC1+9evVs9erVrqbQaaedltnFIYcdTTx6UplSUqlIJd80FTt/+YeXbeehnb5pBKUAAAAAAECWFzrv37+/3XvvvW6Evfj4ePv000/tn3/+sdatW9tVV12V2cUhDDOlkgelpq2dFvAaglIAAAAAACDLg1KLFy+2bt26uftxcXF28OBBN9reY489ZsOGDcvs4hBmNaWSB6XW7F6T4jUEpQAAAAAAQJYHpQoUKOCrI1W2bFlbsWKF77lt27ZldnHIZjfUvSFbM6Vmb5yd4jUEpQAAAAAAQJbXlDrjjDNs2rRpVqdOHbvwwgvtnnvucV35JkyY4J5DaHmy5ZO2J2mPTVgywT0+mnTiNaXy587v/k0omGBxMXF2LOmYzVg3I8VrSuQrcdLrDQAAAAAAIlumg1IaXW/fvn3u/uDBg9398ePHW82aNRl5LwTlypXLqhStcsKZUgeOHkjRfS82JtYqFK5gq3etTvU18XHxJ7y+AAAAAAAgOmQqKJWYmGjr1q2zBg0a+LryjRo1KrvWDVkkT2yeLO2+5+3Cl1pQSgGwRgmNTnhdAQAAAABAdMhUTanY2Fhr166d7dy5M/vWCKEblPr/TKnkdaW8Jlw9web3nm+5Y3Of8LoCAAAAAIDokOlC5/Xq1bOVK1dmz9og24NSRxNPvKZUQKZU4ZRBqQtrXmgF8xQ84fUEAAAAAADRI9NBqSeeeMLuvfde+/rrr23jxo22Z8+egBuiM1OqXKFyljcu70mtJwAAAAAAiB6ZLnSuEfekY8eOroi2l8fjcY9VdwqhJXdM7hMPSv1/plQuy2X54vKlGZTyL6YOAAAAAACQ5UGpKVOmZPYlCDL/Gk8nmimVP3f+gCAkQSkAAAAAAJCjQanWrVuf1BsiyDWlkk6sppR/1z2pWKRiwOMqRQhKAQAAAACAbKwpJb/88otdd911duaZZ9r69evdtPfee8+mTZt2IotDCNeUOnD0gC9Tyl/hvIUDHpMpBQAAAAAAsjUo9emnn1r79u0tX758NmfOHDt8+LCbvnv3bnvyySczuziEek2p/+++5z/yXmqSd+cDAAAAAADI8tH3Ro0aZW+88Yblzv1fsOOss85yQSpETqZUkifJlymVvPtecgkFE05iDQEAAAAAQLTJdFBq6dKldvbZZ6eYXqRIEdu1a1dWrReyq6ZUYsZrSh08etB3P7VMqS+7fOm69V18ysXWoEyDLFhTAAAAAAAQLTJd6DwhIcGWL19uVaoE1hBSPalq1apl5bohyJlS3q57aWVKXVLrEtv5wM6A5QMAAAAAAGRLplTPnj2tb9++9vvvv1uuXLlsw4YN9sEHH9i9995rvXv3zuzikANyx55YTSnvyHvHqylFQAoAAAAAAORIUOrBBx+0a6+91tq0aWP79u1zXfluvvlmu+WWW+yOO+44oZUYOXKky7yKj4+35s2b28yZM9Ocd8KECda0aVMrWrSoFShQwBo1auRG/vPn8Xhs4MCBVrZsWVeQvW3btrZs2TKLVlmSKZVOoXMAAAAAAIBsDUopO+rhhx+2HTt22IIFC2zGjBm2detWe/zxx+1EjB8/3vr162eDBg1yhdIbNmzoRvfbsmVLqvMXL17cvf/06dNt3rx51qNHD3f7/vvvffM8/fTT9uKLL7qC7MroUvBKyzx06JBFoxMOSvlnSqVT6BwAAAAAACBbg1Lvv/++HThwwPLkyWN169a1Zs2aWcGCBe1EDR8+3HUJVGBJy1MgKX/+/DZ69OhU5z/nnHPssssuszp16lj16tVdV8IGDRq4mlbeLKkRI0bYI488Ypdeeql77t1333XdDD///HOLRnli/AqdJ2Ws0PmfG/+0Dh908D1WQXMAAAAAAICgFTq/++677dZbb7WOHTvadddd5zKQYmNjT+jNjxw5YrNnz7b+/fv7psXExLjudsqESo8CUD/++KMbEXDYsGFu2qpVq2zTpk1uGf4jA6pboJbZpUuXFMs5fPiwu3nt2bPH/ZuUlORu4Urrrn0Um+u/z+fwscMZ2qaLx15sOw/t9D3OH5c/rPcFkF474fsNHB9tBUgf7QRIH+0EiI52kpTBdc90UGrjxo02ceJEGzt2rF199dUuq+mqq66yrl272plnnpmpZW3bts0SExOtTJkyAdP1eMmSJWm+bvfu3Va+fHkXSFJA7JVXXrHzzz/fPaeAlHcZyZfpfS65oUOH2uDBg1NMV7fEcO7ypy+B9tVe2+ubtmf/njS7RvrbsHdD4LKOJGXodUC4thP96CsoDiB1tBUgfbQTIH20EyA62snevf/FIbI0KBUXF2cXX3yxu6kb32effWYffvihnXvuuVahQgVbsWKFZbdChQrZ3LlzXaH1yZMnu5pU1apVc137ToQytbQM/0ypihUrWqlSpaxw4cIWzl9k1QDLmyevb1pM7hgrXbp0ppdVpliZE3odEC7tRO09XH/wgZxAWwHSRzsB0kc7AaKjncTHx2dPUMqfsqTUfW/nzp22Zs0aW7x4caZeX7JkSZfptHnz5oDpepyQkJDm6/Sh1KhRw93X6Ht6X2U7KSjlfZ2WodH3/JepeVOTN29ed0vtfcL1C+ClL3J87v++DMc8x05omwrlLRT2+wI4XjuJhPYOZDfaCpA+2gmQPtoJEPntJCaD631CW6cMqQ8++MAuvPBC141OhcVVfHzhwoWZWo6KpTdp0sRlO/lHBPW4RYsWGV6OXuOtCVW1alUXmPJfpjKfNApfZpYZSXLH5D6h0ff8FcjN6HsAAAAAACDrZDpTSoXCv/76a5clpZpSAwYMOKlgj7rNde/e3Zo2bepG8lOAa//+/W40PunWrZsLfCkTSvSv5tXIewpEffvtt/bee+/Zq6++6osm3nXXXfbEE09YzZo1XZBK61iuXDnr1KmTRaM8sXkyFZRKTEpMMa1AHoJSAAAAAAAgiEEpdbf76KOPUh11b8GCBVavXr1MLa9z586uoPjAgQNdIXJ1sVMhdW+h8rVr1wakfSlgddttt9m6dessX758Vrt2bXv//ffdcrzuv/9+N1+vXr1s165d1rJlS7fMjPZpjPag1L4j+1JMI1MKAAAAAABkpVwelXM/yYrqGonvzTfftNmzZ7vR9MKduvsVKVLEVbsP90LnGjGvZKmSlvuJf7vwtajQwn676bfjvm7dnnVW8fmKAdPm9Jpjjcs2ztb1BYLZTlTIP1z7awM5gbYCpI92AqSPdgJERzvZk8G4yglv3c8//+y63amY+LPPPmvnnXeezZgx40QXh2wUkyvG4mLiMpwptfdwyqEb6b4HAAAAAACC1n1P3evGjBljb731lot6qaaU6jp9/vnnVrdu3SxdMWR9sfNjSccyFpQ6kkpQiu57AAAAAAAgC2U4U+qSSy6xWrVq2bx581wx8g0bNthLL72UleuCHKgrdaKZUvlz58+W9QIAAAAAANEpw5lS3333nd15553Wu3dvN6odwjModTTpaKYzpQrlKWSF84ZvbS0AAAAAABDGmVLTpk1zRc2bNGlizZs3t5dfftm2bduWvWuHLA9KHT52OFOZUpWLVLafe/xssTGBIy0CAAAAAADkSFDqjDPOsDfeeMM2btxot9xyi40bN87KlSvnqsJPmjTJBawQId33/DKlBp8z2BolNMrWdQMAAAAAANEn06PvFShQwG688UaXOTV//ny755577KmnnnJDFXbs2DF71hJZlymVmLlMqUJ5C2XregEAAAAAgOiU6aCUPxU+f/rpp23dunU2duzYrFsrZLm8cXlPKFNK9aQAAAAAAABCKijlFRsba506dbIvv/wyKxaHbJA3Nq+vppTH40lzvm0HttmTvzzpe0ymFAAAAAAACNmgFMInU8pjHjuWdCzN+e787k43jxeZUgAAAAAAIDsQlIqymlLp1ZUauyCwGyaZUgAAAAAAIDsQlIqy7nsZrSvlRaYUAAAAAADIDgSloqz7nreuVFoK5C4Q8JhMKQAAAAAAkB0ISkVhplRa3fdUa2r/0f2+x4+d85jFxcTlyPoBAAAAAIDoQlAqGmtKpZEptefwHt/9C2pcYANaD8iRdQMAAAAAANGHoFSUyEhNqV2HdvnuF40vmiPrBQAAAAAAohNBqWisKZVG972AoFReglIAAAAAACD7EJSKxppSx9IPShXLVyxH1gsAAAAAAEQnglLRWFMqI5lSdN8DAAAAAADZiKBUFHbfo6YUAAAAAAAINoJSUSKz3fcISgEAAAAAgOxEUCpKZLrQOUEpAAAAAACQjQhKRWNNKTKlAAAAAABAkBGUisLue9SUAgAAAAAAwUZQKkrQfQ8AAAAAAISSkAhKjRw50qpUqWLx8fHWvHlzmzlzZprzvvHGG9aqVSsrVqyYu7Vt2zbF/DfccIPlypUr4HbBBRdYNMtsofMieYvkyHoBAAAAAIDoFPSg1Pjx461fv342aNAgmzNnjjVs2NDat29vW7ZsSXX+qVOn2jXXXGNTpkyx6dOnW8WKFa1du3a2fv36gPkUhNq4caPvNnbsWItmATWl0siU2n90v/s3LiYuILMKAAAAAAAg4oJSw4cPt549e1qPHj2sbt26NmrUKMufP7+NHj061fk/+OADu+2226xRo0ZWu3Zte/PNNy0pKckmT54cMF/evHktISHBd1NWVTTzDzKlVVPKO90/qwoAAAAAACDiglJHjhyx2bNnuy54vhWKiXGPlQWVEQcOHLCjR49a8eLFU2RUlS5d2mrVqmW9e/e27du3WzTLSPc9b1DKP6sKAAAAAAAgO8RZEG3bts0SExOtTJkyAdP1eMmSJRlaxgMPPGDlypULCGyp697ll19uVatWtRUrVthDDz1kHTp0cIGu2NjYFMs4fPiwu3nt2bPH/asMLN3Cldbd4/G4f3PH5PZNP3TsUKrb5Q1WKasqnLcbONF2AiBttBUgfbQTIH20EyA62klSBtc9qEGpk/XUU0/ZuHHjXFaUiqR7denSxXe/fv361qBBA6tevbqbr02bNimWM3ToUBs8eHCK6Vu3brVDhw5ZOH8Jdu/e7b7M+/f8Wy9Kdu3dlWrNrkNH/93WWItNs6YXEGn824kyNQGkjrYCpI92AqSPdgJERzvZu3dv6AelSpYs6TKXNm/eHDBdj1UH6nieffZZF5T64YcfXNDpeKpVq+bea/ny5akGpfr37++KrftnSqmAeqlSpaxw4cIWzl9kjTyo7Uiw//ZnbN5Y17UxuWOeY+7ffHnypfo8EIn820m4/uADOYG2AqSPdgKkj3YCREc7ifdLHArZoFSePHmsSZMmrkh5p06d3DRv0fI+ffqk+bqnn37ahgwZYt9//701bdo03fdZt26dqylVtmzZVJ9XUXTdktOHH65fAC99kbUNCjT5145Kbbv8a0qF+3YDJ9JO+N4Dx0dbAdJHOwHSRzsBIr+dxGRwvYO+dcpQeuONN+ydd96xxYsXu6Lk+/fvd6PxSbdu3Vwmk9ewYcNswIABbnS+KlWq2KZNm9xt37597nn9e99999mMGTNs9erVLsB16aWXWo0aNax9+/YWrfyLlx9OTL3QuXc6hc4BAAAAAEB2C3pNqc6dO7vaTQMHDnTBpUaNGtnEiRN9xc/Xrl0bEGF79dVX3ah9V155ZcByBg0aZI8++qjrDjhv3jwX5Nq1a5crgt6uXTt7/PHHU82Gihbpjb6nvqreTCn/eQEAAAAAACIyKCXqqpdWdz0VJ/en7KfjyZcvn+vWh0AaUc/LG3zydyzp33pSQqYUAAAAAADIbkHvvocgZEql0n3PP1BFUAoAAAAAAGQ3glLRWFMqle57/oEqglIAAAAAACC7EZSKEukVOvfPlPLv6gcAAAAAAJAdCEpF0XCS3sBUajWl6L4HAAAAAAByEkGpKKwrlVr3PYJSAAAAAAAgJxGUiiLeYFNq3ff8A1V5YghKAQAAAACA7EVQKop4a0WllylFTSkAAAAAAJDdCEpFkfi4+AwVOqf7HgAAAAAAyG4EpaJIvrh87t+DRw+meI6gFAAAAAAAyEkEpaJIvtz/H5Q6dtA8Hk/Ac/7ZUwSlAAAAAABAdiMoFYWZUkmepIDMKCFTCgAAAAAA5CSCUlGYKeXNlkqz0Hkshc4BAAAAAED2IigVRfLnzu+7n7yuFJlSAAAAAAAgJxGUisLue6llSh0+Rk0pAAAAAACQcwhKRWlQ6sDRAwHPkSkFAAAAAAByEkGpKJLR7nt546gpBQAAAAAAshdBqSiS0ULnZEoBAAAAAIDsRlAqWmtKJcuUOpxITSkAAAAAAJBzCEpFaaYUNaUAAAAAAEAwEZSK1ppSdN8DAAAAAABBRFAqihyv+15AofNYCp0DAAAAAIDsRVAqihyv+97hY9SUAgAAAAAAOYegVBSh+x4AAAAAAAgVBKWiSEa77xGUAgAAAAAA2Y2gVJR230uRKZXkV1MqjppSAAAAAAAgexGUitJMKWpKAQAAAAAAi/ag1MiRI61KlSoWHx9vzZs3t5kzZ6Y57xtvvGGtWrWyYsWKuVvbtm1TzO/xeGzgwIFWtmxZy5cvn5tn2bJlFu0CakrRfQ8AAAAAAERzUGr8+PHWr18/GzRokM2ZM8caNmxo7du3ty1btqQ6/9SpU+2aa66xKVOm2PTp061ixYrWrl07W79+vW+ep59+2l588UUbNWqU/f7771agQAG3zEOHDlk0O273PYJSAAAAAAAgmoJSw4cPt549e1qPHj2sbt26LpCUP39+Gz16dKrzf/DBB3bbbbdZo0aNrHbt2vbmm29aUlKSTZ482ZclNWLECHvkkUfs0ksvtQYNGti7775rGzZssM8//9yiWUChc4JSAAAAAAAgWoNSR44csdmzZ7vudb4Violxj5UFlREHDhywo0ePWvHixd3jVatW2aZNmwKWWaRIEdctMKPLjIbue8lrSvkHpfLGUugcAAAAAABkrzgLom3btlliYqKVKVMmYLoeL1myJEPLeOCBB6xcuXK+IJQCUt5lJF+m97nkDh8+7G5ee/bscf8qA0u3cKV1V+aYdxv8g02qKeW/bf6FzmNzxYb1dgMn004ApI62AqSPdgKkj3YCREc7Scrgugc1KHWynnrqKRs3bpyrM6Ui6Sdq6NChNnjw4BTTt27dGtZ1qPQl2L17t/syKwNN/+ayXOYxj+05uCegbte+w/vcv3ExcbZt67YgrjUQ3HYCIHW0FSB9tBMgfbQTIDrayd69e0M/KFWyZEmLjY21zZs3B0zX44SEhOO+9tlnn3VBqR9++MHVjfLyvk7L0Oh7/stUHarU9O/f3xVb98+UUgH1UqVKWeHChS2cv8i5cuVy2+H9IsfHxbt6UsfsmJUuXdo371HPUfdvgdwFAqYDkS61dgIgJdoKkD7aCZA+2gkQHe0kPoOJQ0ENSuXJk8eaNGniipR36tTJTfMWLe/Tp0+ar9PoekOGDLHvv//emjZtGvBc1apVXWBKy/AGoRRk0ih8vXv3TnV5efPmdbfk9OGH6xfAS19k/+1QXSkFpVRTyn/b9h/d73s+3LcZONl2AiB1tBUgfbQTIH20EyDy20lMBtc76N33lKHUvXt3F1xq1qyZGzlv//79bjQ+6datm5UvX951sZNhw4bZwIED7cMPP7QqVar46kQVLFjQ3fTB3XXXXfbEE09YzZo1XZBqwIABru6UN/AVzfLlzmd2MOXoe/uP/BuUKpCnQJDWDAAAAAAARJOgB6U6d+7sajcp0KQAk7KbJk6c6CtUvnbt2oAI26uvvupG7bvyyisDljNo0CB79NFH3f3777/fBbZ69eplu3btspYtW7plnkzdqUih7nmy78g+N+Le3E1zrWGZhr7R+LzPAwAAAAAARHRQStRVL63ueipi7m/16tXpLk/ZUo899pi7IVDhvP/WyNp7eK/d9s1t9tafb1mbqm3scOK/o++RKQUAAAAAAHJCeHZOxEkHpTQCnwJSMnnVZN/zqikFAAAAAACQ3QhKRWlQKi103wMAAAAAADmBoFSUSTcoRfc9AAAAAACQAwhKRZkieYsc93kypQAAAAAAQE4gKBVl0suUoqYUAAAAAADICQSlogw1pQAAAAAAQCggKBVlqCkFAAAAAABCAUGpKEOmFAAAAAAACAUEpaJMkfjjFzqnphQAAAAAAMgJBKWiDN33AAAAAABAKCAoFWXovgcAAAAAAEIBQakoQ6YUAAAAAAAIBQSlojwodVrZ0wIeU1MKAAAAAADkBIJSUR6UalK2ScBjuu8BAAAAAICcQFAqysTFxAU8blquacBjuu8BAAAAAICcQFAqyiXvvkemFAAAAAAAyAkEpaJc9WLVAx5TUwoAAAAAAOQEglJR6H/X/c/Oq3qefXLVJ1Y0vmjAc3TfAwAAAAAAOSGwwBCiwvnVz3e3jNScAgAAAAAAyA5kSsE+7/y51SlZx1644IVgrwoAAAAAAIgSpMXALq19qbsBAAAAAADkFDKlAAAAAAAAkOMISgEAAAAAACDHEZQCAAAAAABAjiMoBQAAAAAAgBxHUAoAAAAAAADRF5QaOXKkValSxeLj46158+Y2c+bMNOdduHChXXHFFW7+XLly2YgRI1LM8+ijj7rn/G+1a9fO5q0AAAAAAABA2ASlxo8fb/369bNBgwbZnDlzrGHDhta+fXvbsmVLqvMfOHDAqlWrZk899ZQlJCSkudxTTz3VNm7c6LtNmzYtG7cCAAAAAAAAYRWUGj58uPXs2dN69OhhdevWtVGjRln+/Plt9OjRqc5/+umn2zPPPGNdunSxvHnzprncuLg4F7Ty3kqWLJmNWwEAAAAAAIDMirMgOXLkiM2ePdv69+/vmxYTE2Nt27a16dOnn9Syly1bZuXKlXNdAlu0aGFDhw61SpUqpTn/4cOH3c1rz5497t+kpCR3C1dad4/HE9bbAGQ32gmQMbQVIH20EyB9tBMgOtpJUgbXPWhBqW3btlliYqKVKVMmYLoeL1my5ISXq7pUY8aMsVq1armue4MHD7ZWrVrZggULrFChQqm+RkErzZfc1q1b7dChQxbOX4Ldu3e7L7MCfgBSop0AGUNbAdJHOwHSRzsBoqOd7N27N7SDUtmlQ4cOvvsNGjRwQarKlSvbRx99ZDfddFOqr1G2lmpb+WdKVaxY0UqVKmWFCxe2cP4iq9C7tiNcv8hAdqOdABlDWwHSRzsB0kc7AaKjncTHx4d2UEp1nmJjY23z5s0B0/X4eEXMM6to0aJ2yimn2PLly9OcR/Wp/GtUKRop+/btC9svgPeLrG3Ily9fWG8HkJ1oJ0DG0FaA9NFOgPTRToDoaCf79u0LiK+EXFAqT5481qRJE5s8ebJ16tTJt+P1uE+fPlm6I1asWGHXX399ptPMlC0FAAAAAACAzFN8pUiRIqHZfU9d5rp3725Nmza1Zs2a2YgRI2z//v1uND7p1q2blS9f3tV88hZHX7Roke/++vXrbe7cuVawYEGrUaOGm37vvffaJZdc4rrsbdiwwQYNGuQysq655poMr5eKpP/zzz+uBpVS5sKVtxuitiWcuyEC2Yl2AmQMbQVIH+0ESB/tBIiOduLxeFxASvGV4wlqUKpz586umPjAgQNt06ZN1qhRI5s4caKv+PnatWsDUtUUZGrcuLHv8bPPPuturVu3tqlTp7pp69atcwGo7du3u/6XLVu2tBkzZrj7GaX3rFChgkUKfYnD9YsM5BTaCZAxtBUgfbQTIH20EyB94d5Ojpch5ZXLk14HP4R1dFVfAlXtD+cvMpCdaCdAxtBWgPTRToD00U6A9O2JonYSnhWzAAAAAAAAENYISkUwjSiomlr+IwsCCEQ7ATKGtgKkj3YCpI92AqQvbxS1E7rvAQAAAAAAIMeRKQUAAAAAAIAcR1AKAAAAAAAAOY6gFAAAAAAAAHIcQakINnLkSKtSpYrFx8db8+bNbebMmcFeJSBHDB061E4//XQrVKiQlS5d2jp16mRLly4NmOfQoUN2++23W4kSJaxgwYJ2xRVX2ObNmwPmWbt2rV100UWWP39+t5z77rvPjh07lsNbA+SMp556ynLlymV33XWXbxrtBDBbv369XXfdda4d5MuXz+rXr29//PGH73mVZx04cKCVLVvWPd+2bVtbtmxZwDJ27NhhXbt2dcN6Fy1a1G666Sbbt29fELYGyHqJiYk2YMAAq1q1qmsD1atXt8cff9y1DS/aCaLRzz//bJdccomVK1fOHWN9/vnnAc9nVbuYN2+etWrVyp33V6xY0Z5++mkLJwSlItT48eOtX79+rmL/nDlzrGHDhta+fXvbsmVLsFcNyHY//fSTO5GeMWOGTZo0yY4ePWrt2rWz/fv3++a5++677auvvrKPP/7Yzb9hwwa7/PLLAw6wdKJ95MgR++233+ydd96xMWPGuD8cQKSZNWuWvfbaa9agQYOA6bQTRLudO3faWWedZblz57bvvvvOFi1aZM8995wVK1bMN48O/l988UUbNWqU/f7771agQAF3zKWgrpdOKBYuXOj+Jn399dfuRKVXr15B2iogaw0bNsxeffVVe/nll23x4sXusdrFSy+95JuHdoJopHMPnYcrWSQ1WdEu9uzZ485zKleubLNnz7ZnnnnGHn30UXv99dctbGj0PUSeZs2aeW6//Xbf48TERE+5cuU8Q4cODep6AcGwZcsWXarz/PTTT+7xrl27PLlz5/Z8/PHHvnkWL17s5pk+fbp7/O2333piYmI8mzZt8s3z6quvegoXLuw5fPhwELYCyB579+711KxZ0zNp0iRP69atPX379nXTaSeAx/PAAw94WrZsmebzSUlJnoSEBM8zzzzjm6a2kzdvXs/YsWPd40WLFrl2M2vWLN883333nSdXrlye9evXZ/MWANnvoosu8tx4440B0y6//HJP165d3X3aCeDSBj2fffaZ73FWtYtXXnnFU6xYsYDjLv3tqlWrlidckCkVgXTFWlFSpf95xcTEuMfTp08P6roBwbB79273b/Hixd2/ah/KnvJvI7Vr17ZKlSr52oj+VReNMmXK+ObRlQtdjdDVCiBSKKtQ2U7+7UFoJ4DZl19+aU2bNrWrrrrKdU9t3LixvfHGG77nV61aZZs2bQpoJ0WKFHFlE/zbibpcaDleml/HZroyDoS7M8880yZPnmx///23e/zXX3/ZtGnTrEOHDu4x7QRIKavaxfTp0+3ss8+2PHnyBByLqXSJsn3DQVywVwBZb9u2ba5Lhf9JgujxkiVLgrZeQDAkJSW5GjnqflGvXj03TX8A9MOtH/nkbUTPeedJrQ15nwMiwbhx41wXb3XfS452ApitXLnSdUtSSYSHHnrItZU777zTtY3u3bv7vueptQP/dqKAlr+4uDh3oYR2gkjw4IMPuosRunARGxvrzkOGDBniuh0J7QRIKavaxaZNm1w9t+TL8D7n3908VBGUAhDxWSALFixwV+wA/Oeff/6xvn37uhoFKowJIPULG7pC/eSTT7rHypTS3xTV/1BQCoDZRx99ZB988IF9+OGHduqpp9rcuXPdBUEVd6adAEgP3fciUMmSJd1ViuQjJOlxQkJC0NYLyGl9+vRxBQGnTJliFSpU8E1XO1A31127dqXZRvRvam3I+xwQ7tQ9T4NfnHbaae6qm24qZq6Cm7qvq2y0E0Q7jYhUt27dgGl16tRxo076f8+Pd8ylf5MPNKMRKjWiEu0EkUCjripbqkuXLq5L9/XXX+8GytBoyEI7AVLKqnaREAHHYgSlIpBSyps0aeL6dvtf6dPjFi1aBHXdgJygWoIKSH322Wf2448/pkhpVfvQSEr+bUT9rnWS4W0j+nf+/PkBfwiUUaLhWJOfoADhqE2bNu47riva3psyQtTdwnufdoJop67f+t77U90cjXIk+vuig37/dqJuTKr14d9OFNxVINhLf5t0bKbaIUC4O3DggKtx408XyPUdF9oJkFJWtYsWLVq4EflUB9T/WKxWrVph0XXPCXaldWSPcePGucr9Y8aMcVX7e/Xq5SlatGjACElApOrdu7enSJEinqlTp3o2btzoux04cMA3z6233uqpVKmS58cff/T88ccfnhYtWrib17Fjxzz16tXztGvXzjN37lzPxIkTPaVKlfL0798/SFsFZD//0feEdoJoN3PmTE9cXJxnyJAhnmXLlnk++OADT/78+T3vv/++b56nnnrKHWN98cUXnnnz5nkuvfRST9WqVT0HDx70zXPBBRd4Gjdu7Pn9998906ZNcyNeXnPNNUHaKiBrde/e3VO+fHnP119/7Vm1apVnwoQJnpIlS3ruv/9+3zy0E0TrCMd//vmnuyn0Mnz4cHd/zZo1WdYudu3a5SlTpozn+uuv9yxYsMDFAfR36rXXXvOEC4JSEeyll15yJxN58uTxNGvWzDNjxoxgrxKQI/Sjn9rt7bff9s2jH/vbbrvNDaGqH+7LLrvMBa78rV692tOhQwdPvnz53MHVPffc4zl69GgQtggITlCKdgJ4PF999ZULvupiX+3atT2vv/56wPMa1nvAgAHupEDztGnTxrN06dKAebZv3+5OIgoWLOgpXLiwp0ePHu5kBYgEe/bscX87dN4RHx/vqVatmufhhx8OGKKedoJoNGXKlFTPSRTIzcp28ddff3latmzplqEAsYJd4SSX/hfsbC0AAAAAAABEF2pKAQAAAAAAIMcRlAIAAAAAAECOIygFAAAAAACAHEdQCgAAAAAAADmOoBQAAAAAAAByHEEpAAAAAAAA5DiCUgAAAAAAAMhxBKUAAAAAAACQ4whKAQCAiJMrVy77/PPPs/19qlSpYiNGjAiZ5YS6c845x+66665grwYAAAgRBKUAAEBY2bp1q/Xu3dsqVapkefPmtYSEBGvfvr39+uuvvnk2btxoHTp0sFAzZswYK1q0aIrps2bNsl69emXre0+dOtUF60499VRLTEwMeE7rpHUDAADISXE5+m4AAAAn6YorrrAjR47YO++8Y9WqVbPNmzfb5MmTbfv27b55FKgKJ6VKlcqx91q5cqW9++671qNHD4sECrAp2BYTw7VWAADCDX+9AQBA2Ni1a5f98ssvNmzYMDv33HOtcuXK1qxZM+vfv7917Ngx1e57q1evdo8/+ugja9WqleXLl89OP/10+/vvv12GUtOmTa1gwYIus0pZWMfratapUye74YYb0ly/4cOHW/369a1AgQJWsWJFu+2222zfvn2+TCUFgnbv3u3WR7dHH3001e57a9eutUsvvdStV+HChe3qq692wTcvva5Ro0b23nvvudcWKVLEunTpYnv37k13H95xxx02aNAgO3z4cKrPe/fX3LlzA/a7pmkbvNuix99//701btzY7dPzzjvPtmzZYt99953VqVPHrfe1115rBw4cCFj+sWPHrE+fPm6dS5YsaQMGDDCPx+N7Xut17733Wvny5d1+bN68ue99/bPNvvzyS6tbt67LltP+AgAA4YegFAAACBsK0uimgFNaQZW0KBDzyCOP2Jw5cywuLs4FTO6//3574YUXXKBr+fLlNnDgwJNaP2XrvPjii7Zw4UKXyfXjjz+695AzzzzTBZ4UrFH3Qt0UfEkuKSnJBaR27NhhP/30k02aNMllN3Xu3DlgvhUrVrj98PXXX7ub5n3qqafSXUcF2hQYeumll+xkKTj28ssv22+//Wb//POPC55pGz/88EP75ptv7H//+1+K99F+0f6fOXOm2/cK5L355pu+5xWwmj59uo0bN87mzZtnV111lV1wwQW2bNky3zwKdCkwqddpX5cuXfqktwUAAOQ8uu8BAICwoWCGMmV69uxpo0aNstNOO81at27tsoQaNGhw3NcqAKTaU9K3b1+75pprXLe/s846y0276aabTrqukn9mlTKYnnjiCbv11lvtlVdesTx58rjsIGUYHa97odZp/vz5tmrVKpdtJepup1pQyuxSlpc3eKX1LVSokHt8/fXXu9cOGTLkuOuYP39+F6B76KGH3H7UOp0obZ///lPGmoJl6lYpV155pU2ZMsUeeOAB32u0Tc8//7zbD7Vq1XLbqsdaF2U8vf322+7fcuXK+T63iRMnuulPPvmkm3b06FG3Txs2bHjC6w4AAIKPTCkAABB2NaU2bNjgum8pg0ZduxScSi+g5B+0KlOmjPtXXe38p6n72cn44YcfrE2bNq7rmYJFChSp1lXyLmzHs3jxYhe48QakRN3U1GVNz/kHvbwBKSlbtmyG118BpBIlSrhso5ORfJ8q4OUNSHmnJV+nM844wwWkvFq0aOGyoFQbSgEq/XvKKaf4suJ0UxaYgl1eCvClF4QEAAChj6AUAAAIO/Hx8Xb++ee7ekTqOqY6T8r+OZ7cuXP77nuDIsmnKfvIvyuef60jb4ZOWlSL6eKLL3bBkk8//dRmz55tI0eOdM+pMHtW81/31NY/vYwzZVSp+5wCfP68BcP9tz2t7U6+/05mnUT1t2JjY92+U00r703BOK2rl2pY+Qe2AABAeCIoBQAAwp4yifbv35/lI+Kp7pOXMngWLFiQ5vwKpCgA89xzz7lsIGX7JA/4KMNHyzkeFQlXfSbdvBYtWuSKjWs7s4pqNalL4ODBg1MdCdB/2/2Lnp+s33//PeDxjBkzrGbNmi4YpaLp2j/KrqpRo0bALdxGVAQAAOkjKAUAAMKGusJplLf333/fFcFW3aWPP/7Ynn76aVccPCvpfVSsW7clS5ZY7969XWAoLQqcKKNIhb1VmFwj46nulT91uVM2kGo/bdu2LdVufW3btnXdCrt27eqKsqsgeLdu3VztLI0UmJVUGH306NEBAT1lISmopueUoaSucyoQn1VUL6pfv362dOlSGzt2rNtfqvElCuRpu7W9EyZMcJ+vtn/o0KHucwAAAJGFoBQAAAgbqi/UvHlzVxj77LPPtnr16rkufCqSrVHgstKNN95o3bt39wWEVCvp3HPPTXN+Fd3WSHKq06T1+uCDD1wwxZ9G4FPhc42kp4wkBdOSU7e0L774wooVK+a2UUEqvff48eMtqynwpptG4/OnQJWmNWnSxBVvV0HzrKL9efDgQWvWrJndfvvtLiDVq1cv3/MqaK557rnnHlcIvVOnTq7Ae6VKlbJsHQAAQGjI5UleLAEAAAAAAADIZmRKAQAAAAAAIMcRlAIAAAAAAECOIygFAAAAAACAHEdQCgAAAAAAADmOoBQAAAAAAAByHEEpAAAAAAAA5DiCUgAAAAAAAMhxBKUAAAAAAACQ4whKAQAAAAAAIMcRlAIAAAAAAECOIygFAAAAAACAHEdQCgAAAAAAAJbT/g+SDXCncJthfAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2025-07-30 11:09:45,254 - MCTS demo completed. Root node visits: 1000\n", "2025-07-30 11:09:45,256 - Results saved with timestamp: 20250730_110945\n", "2025-07-30 11:09:45,256 - === FINAL RESULTS ===\n", "2025-07-30 11:09:45,256 - π estimate: 3.134800 (error: 0.006793)\n", "2025-07-30 11:09:45,257 - ∫₀² x² dx estimate: 2.658251 ± 0.023688 (true: 2.667)\n", "2025-07-30 11:09:45,257 - ∫₀^π sin(x) dx estimate: 1.997472 ± 0.009657 (true: 2.000)\n", "2025-07-30 11:09:45,257 - MCMC mean: -0.058097, std: 1.018346\n", "2025-07-30 11:09:45,257 - All results saved to monte_carlo_results/ directory\n", "2025-07-30 11:09:45,257 - Monte Carlo Methods implementation completed successfully!\n" ] } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd\n", "import pickle\n", "import logging\n", "from datetime import datetime\n", "import os\n", "\n", "logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')\n", "logger = logging.getLogger(__name__)\n", "\n", "class MonteCarloMethods:\n", " def __init__(self, seed=42):\n", " np.random.seed(seed)\n", " self.results = {}\n", " self.create_directories()\n", " \n", " def create_directories(self):\n", " os.makedirs('monte_carlo_results', exist_ok=True)\n", " os.makedirs('monte_carlo_results/models', exist_ok=True)\n", " os.makedirs('monte_carlo_results/plots', exist_ok=True)\n", " os.makedirs('monte_carlo_results/data', exist_ok=True)\n", " \n", " def estimate_pi(self, n_samples=10000):\n", " logger.info(f\"Estimating π using {n_samples} samples\")\n", " \n", " x = np.random.uniform(-1, 1, n_samples)\n", " y = np.random.uniform(-1, 1, n_samples)\n", " \n", " distances = np.sqrt(x**2 + y**2)\n", " inside_circle = distances <= 1\n", " pi_estimate = 4 * np.sum(inside_circle) / n_samples\n", " \n", " self.results['pi_estimation'] = {\n", " 'estimate': pi_estimate,\n", " 'error': abs(pi_estimate - np.pi),\n", " 'samples': n_samples,\n", " 'points_inside': np.sum(inside_circle)\n", " }\n", " \n", " self.plot_pi_estimation(x, y, inside_circle)\n", " logger.info(f\"π estimate: {pi_estimate:.6f}, Error: {abs(pi_estimate - np.pi):.6f}\")\n", " \n", " return pi_estimate\n", " \n", " def plot_pi_estimation(self, x, y, inside_circle):\n", " plt.figure(figsize=(10, 8))\n", " \n", " plt.scatter(x[inside_circle], y[inside_circle], c='red', alpha=0.6, s=1, label='Inside Circle')\n", " plt.scatter(x[~inside_circle], y[~inside_circle], c='blue', alpha=0.6, s=1, label='Outside Circle')\n", " \n", " theta = np.linspace(0, 2*np.pi, 100)\n", " circle_x = np.cos(theta)\n", " circle_y = np.sin(theta)\n", " plt.plot(circle_x, circle_y, 'black', linewidth=2)\n", " \n", " plt.xlim(-1.1, 1.1)\n", " plt.ylim(-1.1, 1.1)\n", " plt.gca().set_aspect('equal')\n", " plt.legend()\n", " plt.title(f'Monte Carlo π Estimation\\nEstimate: {self.results[\"pi_estimation\"][\"estimate\"]:.6f}')\n", " plt.grid(True, alpha=0.3)\n", " plt.savefig('monte_carlo_results/plots/pi_estimation.png', dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def monte_carlo_integration(self, func, a, b, n_samples=10000):\n", " logger.info(f\"Monte Carlo integration from {a} to {b} with {n_samples} samples\")\n", " \n", " x_samples = np.random.uniform(a, b, n_samples)\n", " y_samples = func(x_samples)\n", " \n", " integral_estimate = (b - a) * np.mean(y_samples)\n", " standard_error = (b - a) * np.std(y_samples) / np.sqrt(n_samples)\n", " \n", " self.results['integration'] = {\n", " 'estimate': integral_estimate,\n", " 'standard_error': standard_error,\n", " 'function': func.__name__,\n", " 'bounds': (a, b),\n", " 'samples': n_samples\n", " }\n", " \n", " self.plot_integration(func, a, b, x_samples, y_samples)\n", " logger.info(f\"Integral estimate: {integral_estimate:.6f} ± {standard_error:.6f}\")\n", " \n", " return integral_estimate, standard_error\n", " \n", " def plot_integration(self, func, a, b, x_samples, y_samples):\n", " plt.figure(figsize=(12, 8))\n", " \n", " x_plot = np.linspace(a, b, 1000)\n", " y_plot = func(x_plot)\n", " \n", " plt.subplot(2, 1, 1)\n", " plt.plot(x_plot, y_plot, 'blue', linewidth=2, label=f'f(x) = {func.__name__}')\n", " plt.scatter(x_samples[:500], y_samples[:500], alpha=0.5, s=10, color='red', label='MC samples')\n", " plt.fill_between(x_plot, 0, y_plot, alpha=0.3, color='lightblue')\n", " plt.xlabel('x')\n", " plt.ylabel('f(x)')\n", " plt.title('Monte Carlo Integration')\n", " plt.legend()\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.subplot(2, 1, 2)\n", " convergence = np.cumsum(y_samples) * (b - a) / np.arange(1, len(y_samples) + 1)\n", " plt.plot(convergence, 'green', linewidth=2)\n", " plt.xlabel('Number of Samples')\n", " plt.ylabel('Running Estimate')\n", " plt.title('Convergence of Monte Carlo Estimate')\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.tight_layout()\n", " plt.savefig('monte_carlo_results/plots/integration.png', dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def simple_mcmc(self, target_mean=0, target_std=1, n_samples=10000, step_size=0.5):\n", " logger.info(f\"Running MCMC with {n_samples} samples\")\n", " \n", " samples = np.zeros(n_samples)\n", " current = 0.0\n", " accepted = 0\n", " \n", " for i in range(n_samples):\n", " proposal = current + np.random.normal(0, step_size)\n", " \n", " current_prob = self.log_normal_pdf(current, target_mean, target_std)\n", " proposal_prob = self.log_normal_pdf(proposal, target_mean, target_std)\n", " \n", " acceptance_ratio = min(1, np.exp(proposal_prob - current_prob))\n", " \n", " if np.random.rand() < acceptance_ratio:\n", " current = proposal\n", " accepted += 1\n", " \n", " samples[i] = current\n", " \n", " acceptance_rate = accepted / n_samples\n", " \n", " self.results['mcmc'] = {\n", " 'samples': samples,\n", " 'acceptance_rate': acceptance_rate,\n", " 'mean': np.mean(samples),\n", " 'std': np.std(samples),\n", " 'target_mean': target_mean,\n", " 'target_std': target_std\n", " }\n", " \n", " self.plot_mcmc_results()\n", " logger.info(f\"MCMC completed. Acceptance rate: {acceptance_rate:.3f}\")\n", " \n", " return samples\n", " \n", " def log_normal_pdf(self, x, mean, std):\n", " return -0.5 * ((x - mean) / std) ** 2 - np.log(std * np.sqrt(2 * np.pi))\n", " \n", " def plot_mcmc_results(self):\n", " samples = self.results['mcmc']['samples']\n", " \n", " plt.figure(figsize=(15, 10))\n", " \n", " plt.subplot(2, 2, 1)\n", " plt.plot(samples[:1000])\n", " plt.title('MCMC Trace (First 1000 samples)')\n", " plt.xlabel('Iteration')\n", " plt.ylabel('Sample Value')\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.subplot(2, 2, 2)\n", " plt.hist(samples, bins=50, density=True, alpha=0.7, color='skyblue', edgecolor='black')\n", " x_range = np.linspace(samples.min(), samples.max(), 100)\n", " true_pdf = np.exp(-0.5 * x_range**2) / np.sqrt(2 * np.pi)\n", " plt.plot(x_range, true_pdf, 'red', linewidth=2, label='True N(0,1)')\n", " plt.title('Sample Distribution vs True Distribution')\n", " plt.xlabel('Value')\n", " plt.ylabel('Density')\n", " plt.legend()\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.subplot(2, 2, 3)\n", " running_mean = np.cumsum(samples) / np.arange(1, len(samples) + 1)\n", " plt.plot(running_mean)\n", " plt.axhline(y=0, color='red', linestyle='--', label='True mean')\n", " plt.title('Running Mean Convergence')\n", " plt.xlabel('Iteration')\n", " plt.ylabel('Running Mean')\n", " plt.legend()\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.subplot(2, 2, 4)\n", " autocorr = np.correlate(samples - np.mean(samples), samples - np.mean(samples), mode='full')\n", " autocorr = autocorr[autocorr.size // 2:]\n", " autocorr = autocorr / autocorr[0]\n", " plt.plot(autocorr[:100])\n", " plt.title('Autocorrelation Function')\n", " plt.xlabel('Lag')\n", " plt.ylabel('Autocorrelation')\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.tight_layout()\n", " plt.savefig('monte_carlo_results/plots/mcmc_results.png', dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def monte_carlo_tree_search_demo(self, n_simulations=1000):\n", " logger.info(f\"Running MCTS demo with {n_simulations} simulations\")\n", " \n", " class Node:\n", " def __init__(self, state=0, parent=None):\n", " self.state = state\n", " self.parent = parent\n", " self.children = []\n", " self.visits = 0\n", " self.wins = 0\n", " \n", " def uct_value(self, c=1.4):\n", " if self.visits == 0:\n", " return float('inf')\n", " exploitation = self.wins / self.visits\n", " exploration = c * np.sqrt(np.log(self.parent.visits) / self.visits)\n", " return exploitation + exploration\n", " \n", " root = Node()\n", " simulation_results = []\n", " \n", " for simulation in range(n_simulations):\n", " node = root\n", " path = [node]\n", " \n", " while node.children and all(child.visits > 0 for child in node.children):\n", " node = max(node.children, key=lambda x: x.uct_value())\n", " path.append(node)\n", " \n", " if not node.children:\n", " for action in range(3):\n", " child = Node(state=node.state + action, parent=node)\n", " node.children.append(child)\n", " \n", " if node.children:\n", " node = np.random.choice([child for child in node.children if child.visits == 0])\n", " path.append(node)\n", " \n", " reward = np.random.random()\n", " simulation_results.append(reward)\n", " \n", " for node in path:\n", " node.visits += 1\n", " node.wins += reward\n", " \n", " self.results['mcts'] = {\n", " 'simulations': n_simulations,\n", " 'root_visits': root.visits,\n", " 'simulation_results': simulation_results,\n", " 'final_tree_depth': len(path)\n", " }\n", " \n", " self.plot_mcts_results(simulation_results)\n", " logger.info(f\"MCTS demo completed. Root node visits: {root.visits}\")\n", " \n", " return root\n", " \n", " def plot_mcts_results(self, simulation_results):\n", " plt.figure(figsize=(12, 8))\n", " \n", " plt.subplot(2, 1, 1)\n", " plt.plot(simulation_results, alpha=0.7)\n", " plt.title('MCTS Simulation Rewards Over Time')\n", " plt.xlabel('Simulation Number')\n", " plt.ylabel('Reward')\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.subplot(2, 1, 2)\n", " running_avg = np.cumsum(simulation_results) / np.arange(1, len(simulation_results) + 1)\n", " plt.plot(running_avg, 'green', linewidth=2)\n", " plt.title('Running Average Reward')\n", " plt.xlabel('Simulation Number')\n", " plt.ylabel('Average Reward')\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.tight_layout()\n", " plt.savefig('monte_carlo_results/plots/mcts_results.png', dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def save_results(self):\n", " timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n", " \n", " with open(f'monte_carlo_results/data/results_{timestamp}.pkl', 'wb') as f:\n", " pickle.dump(self.results, f)\n", " \n", " results_df = pd.DataFrame({\n", " 'Method': ['Pi Estimation', 'Integration', 'MCMC', 'MCTS'],\n", " 'Key_Metric': [\n", " self.results.get('pi_estimation', {}).get('estimate', 'N/A'),\n", " self.results.get('integration', {}).get('estimate', 'N/A'),\n", " self.results.get('mcmc', {}).get('acceptance_rate', 'N/A'),\n", " self.results.get('mcts', {}).get('simulations', 'N/A')\n", " ]\n", " })\n", " \n", " results_df.to_csv(f'monte_carlo_results/data/summary_{timestamp}.csv', index=False)\n", " logger.info(f\"Results saved with timestamp: {timestamp}\")\n", "\n", "def quadratic_function(x):\n", " return x**2\n", "\n", "def sine_function(x):\n", " return np.sin(x)\n", "\n", "if __name__ == \"__main__\":\n", " logger.info(\"Starting Monte Carlo Methods Implementation\")\n", " \n", " mc = MonteCarloMethods()\n", " \n", " logger.info(\"=== Pi Estimation ===\")\n", " pi_estimate = mc.estimate_pi(n_samples=10000)\n", " \n", " logger.info(\"=== Monte Carlo Integration ===\")\n", " integral_quad, error_quad = mc.monte_carlo_integration(quadratic_function, 0, 2, n_samples=10000)\n", " integral_sine, error_sine = mc.monte_carlo_integration(sine_function, 0, np.pi, n_samples=10000)\n", " \n", " logger.info(\"=== MCMC Sampling ===\")\n", " mcmc_samples = mc.simple_mcmc(target_mean=0, target_std=1, n_samples=10000)\n", " \n", " logger.info(\"=== MCTS Demo ===\")\n", " mcts_root = mc.monte_carlo_tree_search_demo(n_simulations=1000)\n", " \n", " mc.save_results()\n", " \n", " logger.info(\"=== FINAL RESULTS ===\")\n", " logger.info(f\"π estimate: {pi_estimate:.6f} (error: {abs(pi_estimate - np.pi):.6f})\")\n", " logger.info(f\"∫₀² x² dx estimate: {integral_quad:.6f} ± {error_quad:.6f} (true: 2.667)\")\n", " logger.info(f\"∫₀^π sin(x) dx estimate: {integral_sine:.6f} ± {error_sine:.6f} (true: 2.000)\")\n", " logger.info(f\"MCMC mean: {np.mean(mcmc_samples):.6f}, std: {np.std(mcmc_samples):.6f}\")\n", " \n", " logger.info(\"All results saved to monte_carlo_results/ directory\")\n", " logger.info(\"Monte Carlo Methods implementation completed successfully!\")" ] }, { "cell_type": "code", "execution_count": null, "id": "24ca5844-2bc9-44cb-ad9d-112a4d6c498a", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd\n", "import pickle\n", "import logging\n", "from datetime import datetime\n", "import os\n", "\n", "# Set up logging to track what our program is doing\n", "# This helps us see progress and debug any issues\n", "logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')\n", "logger = logging.getLogger(__name__)\n", "\n", "class MonteCarloMethods:\n", " \"\"\"\n", " Main class implementing various Monte Carlo methods for AI/ML applications.\n", " \n", " Monte Carlo methods use random sampling to solve problems that are:\n", " 1. Too complex for analytical solutions\n", " 2. High-dimensional \n", " 3. Involve uncertainty or probability\n", " \n", " This class demonstrates 4 key Monte Carlo techniques:\n", " - Random sampling (π estimation)\n", " - Monte Carlo integration \n", " - Markov Chain Monte Carlo (MCMC)\n", " - Monte Carlo Tree Search (MCTS)\n", " \"\"\"\n", " \n", " def __init__(self, seed=42):\n", " \"\"\"\n", " Initialize the Monte Carlo methods class.\n", " \n", " Args:\n", " seed (int): Random seed for reproducible results\n", " \n", " Why we set a seed:\n", " - Makes results reproducible across runs\n", " - Essential for debugging and comparing methods\n", " - Standard practice in scientific computing\n", " \"\"\"\n", " np.random.seed(seed) # Ensures same \"random\" numbers each run\n", " self.results = {} # Dictionary to store all our results\n", " self.create_directories() # Set up folder structure for saving\n", " \n", " def create_directories(self):\n", " \"\"\"\n", " Create organized folder structure for saving results.\n", " \n", " Why organize folders:\n", " - Keeps models, plots, and data separate\n", " - Makes results easy to find and share\n", " - Professional practice for ML projects\n", " \"\"\"\n", " # exist_ok=True means don't error if folder already exists\n", " os.makedirs('monte_carlo_results', exist_ok=True)\n", " os.makedirs('monte_carlo_results/models', exist_ok=True)\n", " os.makedirs('monte_carlo_results/plots', exist_ok=True)\n", " os.makedirs('monte_carlo_results/data', exist_ok=True)\n", " \n", " def estimate_pi(self, n_samples=10000):\n", " \"\"\"\n", " Estimate π using Monte Carlo method by \"throwing darts at a circle\".\n", " \n", " Mathematical principle:\n", " - Circle area = π × r² = π (for unit circle)\n", " - Square area = (2r)² = 4 (for square containing circle)\n", " - Ratio = π/4\n", " - Therefore: π = 4 × (points inside circle / total points)\n", " \n", " Args:\n", " n_samples (int): Number of random points to generate\n", " \n", " Returns:\n", " float: Estimated value of π\n", " \n", " Why this works:\n", " - Law of Large Numbers: as samples → ∞, estimate → true value\n", " - Random sampling approximates the continuous probability\n", " \"\"\"\n", " logger.info(f\"Estimating π using {n_samples} samples\")\n", " \n", " # Generate random points in square from (-1,-1) to (1,1)\n", " # uniform(-1, 1) gives equal probability to all points in range\n", " x = np.random.uniform(-1, 1, n_samples)\n", " y = np.random.uniform(-1, 1, n_samples)\n", " \n", " # Calculate distance from origin for each point\n", " # Points inside unit circle have distance ≤ 1\n", " distances = np.sqrt(x**2 + y**2)\n", " inside_circle = distances <= 1 # Boolean array: True if inside circle\n", " \n", " # Estimate π using the ratio method\n", " # np.sum(inside_circle) counts True values (points inside circle)\n", " pi_estimate = 4 * np.sum(inside_circle) / n_samples\n", " \n", " # Store results for later analysis and saving\n", " self.results['pi_estimation'] = {\n", " 'estimate': pi_estimate,\n", " 'error': abs(pi_estimate - np.pi), # Compare to true π\n", " 'samples': n_samples,\n", " 'points_inside': np.sum(inside_circle)\n", " }\n", " \n", " # Create visualization to see how the method works\n", " self.plot_pi_estimation(x, y, inside_circle)\n", " logger.info(f\"π estimate: {pi_estimate:.6f}, Error: {abs(pi_estimate - np.pi):.6f}\")\n", " \n", " return pi_estimate\n", " \n", " def plot_pi_estimation(self, x, y, inside_circle):\n", " \"\"\"\n", " Visualize the π estimation process.\n", " \n", " Args:\n", " x, y: Arrays of random point coordinates\n", " inside_circle: Boolean array indicating which points are inside circle\n", " \n", " Why visualize:\n", " - Shows intuition behind the Monte Carlo method\n", " - Helps verify the algorithm is working correctly\n", " - Makes results more interpretable and shareable\n", " \"\"\"\n", " plt.figure(figsize=(10, 8)) # Create large figure for clarity\n", " \n", " # Plot points with different colors for inside/outside circle\n", " # alpha=0.6 makes points semi-transparent to see overlaps\n", " # s=1 makes points small so we can see many without clutter\n", " plt.scatter(x[inside_circle], y[inside_circle], \n", " c='red', alpha=0.6, s=1, label='Inside Circle')\n", " plt.scatter(x[~inside_circle], y[~inside_circle], \n", " c='blue', alpha=0.6, s=1, label='Outside Circle')\n", " \n", " # Draw the actual circle boundary for reference\n", " theta = np.linspace(0, 2*np.pi, 100) # 100 points around circle\n", " circle_x = np.cos(theta) # Parametric circle: x = cos(θ)\n", " circle_y = np.sin(theta) # Parametric circle: y = sin(θ)\n", " plt.plot(circle_x, circle_y, 'black', linewidth=2)\n", " \n", " # Set up the plot appearance\n", " plt.xlim(-1.1, 1.1) # Slightly larger than circle for visibility\n", " plt.ylim(-1.1, 1.1)\n", " plt.gca().set_aspect('equal') # Make circle look circular, not elliptical\n", " plt.legend()\n", " plt.title(f'Monte Carlo π Estimation\\nEstimate: {self.results[\"pi_estimation\"][\"estimate\"]:.6f}')\n", " plt.grid(True, alpha=0.3) # Light grid for reference\n", " \n", " # Save high-quality plot\n", " plt.savefig('monte_carlo_results/plots/pi_estimation.png', \n", " dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def monte_carlo_integration(self, func, a, b, n_samples=10000):\n", " \"\"\"\n", " Estimate definite integral using Monte Carlo method.\n", " \n", " Mathematical principle:\n", " ∫[a,b] f(x)dx ≈ (b-a) × (1/N) × Σf(xᵢ) where xᵢ are random samples\n", " \n", " This is like calculating area under curve by:\n", " 1. Taking random x-values in [a,b]\n", " 2. Computing f(x) at those points\n", " 3. Averaging the heights\n", " 4. Multiplying by width (b-a)\n", " \n", " Args:\n", " func: Function to integrate\n", " a, b: Integration bounds\n", " n_samples: Number of random samples\n", " \n", " Returns:\n", " tuple: (integral_estimate, standard_error)\n", " \n", " Why Monte Carlo integration:\n", " - Works in high dimensions (curse of dimensionality)\n", " - Doesn't require function derivatives\n", " - Error decreases as 1/√N regardless of dimension\n", " \"\"\"\n", " logger.info(f\"Monte Carlo integration from {a} to {b} with {n_samples} samples\")\n", " \n", " # Generate random x-values uniformly in [a,b]\n", " x_samples = np.random.uniform(a, b, n_samples)\n", " \n", " # Evaluate function at random points\n", " y_samples = func(x_samples)\n", " \n", " # Monte Carlo estimate: width × average height\n", " integral_estimate = (b - a) * np.mean(y_samples)\n", " \n", " # Standard error gives uncertainty in our estimate\n", " # Formula: σ/√N where σ is standard deviation of samples\n", " standard_error = (b - a) * np.std(y_samples) / np.sqrt(n_samples)\n", " \n", " # Store results for analysis\n", " self.results['integration'] = {\n", " 'estimate': integral_estimate,\n", " 'standard_error': standard_error,\n", " 'function': func.__name__, # Store function name for reference\n", " 'bounds': (a, b),\n", " 'samples': n_samples\n", " }\n", " \n", " # Visualize the integration process\n", " self.plot_integration(func, a, b, x_samples, y_samples)\n", " logger.info(f\"Integral estimate: {integral_estimate:.6f} ± {standard_error:.6f}\")\n", " \n", " return integral_estimate, standard_error\n", " \n", " def plot_integration(self, func, a, b, x_samples, y_samples):\n", " \"\"\"\n", " Visualize Monte Carlo integration process.\n", " \n", " Shows:\n", " 1. Function curve and random sample points\n", " 2. Convergence of estimate as more samples are added\n", " \n", " This helps understand:\n", " - How random sampling approximates the integral\n", " - How estimate stabilizes with more samples\n", " \"\"\"\n", " plt.figure(figsize=(12, 8))\n", " \n", " # Create smooth curve for function visualization\n", " x_plot = np.linspace(a, b, 1000)\n", " y_plot = func(x_plot)\n", " \n", " # Top subplot: function and random samples\n", " plt.subplot(2, 1, 1)\n", " plt.plot(x_plot, y_plot, 'blue', linewidth=2, label=f'f(x) = {func.__name__}')\n", " # Show only first 500 sample points to avoid clutter\n", " plt.scatter(x_samples[:500], y_samples[:500], \n", " alpha=0.5, s=10, color='red', label='MC samples')\n", " # Fill area under curve to show what we're computing\n", " plt.fill_between(x_plot, 0, y_plot, alpha=0.3, color='lightblue')\n", " plt.xlabel('x')\n", " plt.ylabel('f(x)')\n", " plt.title('Monte Carlo Integration')\n", " plt.legend()\n", " plt.grid(True, alpha=0.3)\n", " \n", " # Bottom subplot: convergence behavior\n", " plt.subplot(2, 1, 2)\n", " # Running estimate: cumulative sum divided by number of samples so far\n", " convergence = np.cumsum(y_samples) * (b - a) / np.arange(1, len(y_samples) + 1)\n", " plt.plot(convergence, 'green', linewidth=2)\n", " plt.xlabel('Number of Samples')\n", " plt.ylabel('Running Estimate')\n", " plt.title('Convergence of Monte Carlo Estimate')\n", " plt.grid(True, alpha=0.3)\n", " \n", " plt.tight_layout() # Prevent subplot overlap\n", " plt.savefig('monte_carlo_results/plots/integration.png', \n", " dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def simple_mcmc(self, target_mean=0, target_std=1, n_samples=10000, step_size=0.5):\n", " \"\"\"\n", " Markov Chain Monte Carlo using Metropolis-Hastings algorithm.\n", " \n", " Purpose: Sample from complex probability distributions\n", " \n", " How it works:\n", " 1. Start at some point\n", " 2. Propose a new point nearby (random walk)\n", " 3. Accept/reject based on probability ratio\n", " 4. Repeat to build a chain of samples\n", " \n", " Why MCMC:\n", " - Can sample from distributions we can't sample directly\n", " - Only needs to evaluate probability ratios (not normalize)\n", " - Fundamental tool in Bayesian inference and deep learning\n", " \n", " Args:\n", " target_mean, target_std: Parameters of target normal distribution\n", " n_samples: Length of Markov chain\n", " step_size: Standard deviation of proposal distribution\n", " \n", " Returns:\n", " numpy.array: Samples from target distribution\n", " \"\"\"\n", " logger.info(f\"Running MCMC with {n_samples} samples\")\n", " \n", " samples = np.zeros(n_samples) # Store all samples\n", " current = 0.0 # Start chain at arbitrary point\n", " accepted = 0 # Count accepted proposals for diagnostics\n", " \n", " for i in range(n_samples):\n", " # Propose new state: random walk from current position\n", " # step_size controls how far we jump (affects efficiency)\n", " proposal = current + np.random.normal(0, step_size)\n", " \n", " # Calculate log probabilities (more numerically stable)\n", " current_prob = self.log_normal_pdf(current, target_mean, target_std)\n", " proposal_prob = self.log_normal_pdf(proposal, target_mean, target_std)\n", " \n", " # Metropolis-Hastings acceptance criterion\n", " # Accept if proposal is better, or with probability based on ratio\n", " acceptance_ratio = min(1, np.exp(proposal_prob - current_prob))\n", " \n", " if np.random.rand() < acceptance_ratio:\n", " current = proposal # Accept proposal\n", " accepted += 1\n", " # If rejected, stay at current position (implicit)\n", " \n", " samples[i] = current # Record current state\n", " \n", " acceptance_rate = accepted / n_samples\n", " \n", " # Store comprehensive results for analysis\n", " self.results['mcmc'] = {\n", " 'samples': samples,\n", " 'acceptance_rate': acceptance_rate, # Should be ~20-50% for efficiency\n", " 'mean': np.mean(samples),\n", " 'std': np.std(samples),\n", " 'target_mean': target_mean,\n", " 'target_std': target_std\n", " }\n", " \n", " self.plot_mcmc_results()\n", " logger.info(f\"MCMC completed. Acceptance rate: {acceptance_rate:.3f}\")\n", " \n", " return samples\n", " \n", " def log_normal_pdf(self, x, mean, std):\n", " \"\"\"\n", " Calculate log probability density of normal distribution.\n", " \n", " Why log probabilities:\n", " - Prevents numerical underflow (very small probabilities)\n", " - Addition instead of multiplication (log(ab) = log(a) + log(b))\n", " - More stable for MCMC calculations\n", " \n", " Formula: log(pdf) = -0.5 * ((x-μ)/σ)² - log(σ√(2π))\n", " \"\"\"\n", " return -0.5 * ((x - mean) / std) ** 2 - np.log(std * np.sqrt(2 * np.pi))\n", " \n", " def plot_mcmc_results(self):\n", " \"\"\"\n", " Comprehensive visualization of MCMC results.\n", " \n", " Shows 4 key diagnostics:\n", " 1. Trace plot: Shows mixing and convergence\n", " 2. Histogram: Shows if we're sampling the right distribution\n", " 3. Running mean: Shows convergence to true mean\n", " 4. Autocorrelation: Shows sample independence\n", " \"\"\"\n", " samples = self.results['mcmc']['samples']\n", " \n", " plt.figure(figsize=(15, 10))\n", " \n", " # 1. Trace plot - shows how sampler moves through space\n", " plt.subplot(2, 2, 1)\n", " plt.plot(samples[:1000]) # Show first 1000 for clarity\n", " plt.title('MCMC Trace (First 1000 samples)')\n", " plt.xlabel('Iteration')\n", " plt.ylabel('Sample Value')\n", " plt.grid(True, alpha=0.3)\n", " # Good trace: should look like \"fuzzy caterpillar\" - mixing well\n", " \n", " # 2. Distribution comparison\n", " plt.subplot(2, 2, 2)\n", " plt.hist(samples, bins=50, density=True, alpha=0.7, \n", " color='skyblue', edgecolor='black')\n", " # Overlay true distribution for comparison\n", " x_range = np.linspace(samples.min(), samples.max(), 100)\n", " true_pdf = np.exp(-0.5 * x_range**2) / np.sqrt(2 * np.pi) # N(0,1) pdf\n", " plt.plot(x_range, true_pdf, 'red', linewidth=2, label='True N(0,1)')\n", " plt.title('Sample Distribution vs True Distribution')\n", " plt.xlabel('Value')\n", " plt.ylabel('Density')\n", " plt.legend()\n", " plt.grid(True, alpha=0.3)\n", " \n", " # 3. Convergence of running mean\n", " plt.subplot(2, 2, 3)\n", " running_mean = np.cumsum(samples) / np.arange(1, len(samples) + 1)\n", " plt.plot(running_mean)\n", " plt.axhline(y=0, color='red', linestyle='--', label='True mean')\n", " plt.title('Running Mean Convergence')\n", " plt.xlabel('Iteration')\n", " plt.ylabel('Running Mean')\n", " plt.legend()\n", " plt.grid(True, alpha=0.3)\n", " # Should converge to true mean (0) and stabilize\n", " \n", " # 4. Autocorrelation function - measures sample independence\n", " plt.subplot(2, 2, 4)\n", " # Autocorrelation: correlation between samples separated by lag\n", " autocorr = np.correlate(samples - np.mean(samples), \n", " samples - np.mean(samples), mode='full')\n", " autocorr = autocorr[autocorr.size // 2:] # Take positive lags only\n", " autocorr = autocorr / autocorr[0] # Normalize\n", " plt.plot(autocorr[:100]) # Show first 100 lags\n", " plt.title('Autocorrelation Function')\n", " plt.xlabel('Lag')\n", " plt.ylabel('Autocorrelation')\n", " plt.grid(True, alpha=0.3)\n", " # Should decay quickly - indicates independent samples\n", " \n", " plt.tight_layout()\n", " plt.savefig('monte_carlo_results/plots/mcmc_results.png', \n", " dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def monte_carlo_tree_search_demo(self, n_simulations=1000):\n", " \"\"\"\n", " Simplified Monte Carlo Tree Search demonstration.\n", " \n", " MCTS is used in:\n", " - Game AI (AlphaGo, AlphaZero)\n", " - Decision making under uncertainty\n", " - Planning in robotics\n", " \n", " MCTS phases:\n", " 1. Selection: Navigate tree using UCT (Upper Confidence Bound for Trees)\n", " 2. Expansion: Add new child nodes\n", " 3. Simulation: Random rollout from new node\n", " 4. Backpropagation: Update statistics up the tree\n", " \n", " Args:\n", " n_simulations: Number of MCTS simulations to run\n", " \n", " Returns:\n", " Node: Root node of the built tree\n", " \"\"\"\n", " logger.info(f\"Running MCTS demo with {n_simulations} simulations\")\n", " \n", " class Node:\n", " \"\"\"\n", " Node in the MCTS tree.\n", " \n", " Each node represents a game state and tracks:\n", " - visits: how many times we've been here\n", " - wins: cumulative reward from this state\n", " - children: possible next states\n", " \"\"\"\n", " def __init__(self, state=0, parent=None):\n", " self.state = state # Game state (simplified as integer)\n", " self.parent = parent # Parent node (for backpropagation)\n", " self.children = [] # Child nodes (possible actions)\n", " self.visits = 0 # Number of times visited\n", " self.wins = 0 # Cumulative reward\n", " \n", " def uct_value(self, c=1.4):\n", " \"\"\"\n", " Upper Confidence Bound for Trees (UCT) value.\n", " \n", " Balances exploitation vs exploration:\n", " - Exploitation: choose nodes with high win rate\n", " - Exploration: choose less-visited nodes\n", " \n", " Formula: wins/visits + c*√(ln(parent_visits)/visits)\n", " \n", " Args:\n", " c: Exploration parameter (higher = more exploration)\n", " \"\"\"\n", " if self.visits == 0:\n", " return float('inf') # Unvisited nodes have highest priority\n", " \n", " # Exploitation term: average reward\n", " exploitation = self.wins / self.visits\n", " \n", " # Exploration term: confidence interval\n", " exploration = c * np.sqrt(np.log(self.parent.visits) / self.visits)\n", " \n", " return exploitation + exploration\n", " \n", " root = Node() # Start with empty tree\n", " simulation_results = [] # Track all simulation outcomes\n", " \n", " for simulation in range(n_simulations):\n", " # PHASE 1: SELECTION\n", " # Navigate tree using UCT to find promising leaf\n", " node = root\n", " path = [node] # Track path for backpropagation\n", " \n", " # Keep going down tree while nodes have children and are visited\n", " while node.children and all(child.visits > 0 for child in node.children):\n", " # Choose child with highest UCT value\n", " node = max(node.children, key=lambda x: x.uct_value())\n", " path.append(node)\n", " \n", " # PHASE 2: EXPANSION\n", " # Add children if leaf node has no children yet\n", " if not node.children:\n", " # Create 3 possible actions (simplified)\n", " for action in range(3):\n", " child = Node(state=node.state + action, parent=node)\n", " node.children.append(child)\n", " \n", " # Select unvisited child for simulation\n", " if node.children:\n", " node = np.random.choice([child for child in node.children \n", " if child.visits == 0])\n", " path.append(node)\n", " \n", " # PHASE 3: SIMULATION (ROLLOUT)\n", " # Random rollout to estimate value of this position\n", " reward = np.random.random() # Simplified: random reward [0,1]\n", " simulation_results.append(reward)\n", " \n", " # PHASE 4: BACKPROPAGATION\n", " # Update statistics for all nodes in path\n", " for node in path:\n", " node.visits += 1 # Increment visit count\n", " node.wins += reward # Add reward to cumulative total\n", " \n", " # Store results for analysis\n", " self.results['mcts'] = {\n", " 'simulations': n_simulations,\n", " 'root_visits': root.visits,\n", " 'simulation_results': simulation_results,\n", " 'final_tree_depth': len(path)\n", " }\n", " \n", " self.plot_mcts_results(simulation_results)\n", " logger.info(f\"MCTS demo completed. Root node visits: {root.visits}\")\n", " \n", " return root\n", " \n", " def plot_mcts_results(self, simulation_results):\n", " \"\"\"\n", " Visualize MCTS simulation results.\n", " \n", " Shows:\n", " 1. Individual simulation rewards over time\n", " 2. Running average to show learning/convergence\n", " \"\"\"\n", " plt.figure(figsize=(12, 8))\n", " \n", " # Individual simulation rewards\n", " plt.subplot(2, 1, 1)\n", " plt.plot(simulation_results, alpha=0.7)\n", " plt.title('MCTS Simulation Rewards Over Time')\n", " plt.xlabel('Simulation Number')\n", " plt.ylabel('Reward')\n", " plt.grid(True, alpha=0.3)\n", " # Shows variability in individual rollouts\n", " \n", " # Running average shows overall trend\n", " plt.subplot(2, 1, 2)\n", " running_avg = np.cumsum(simulation_results) / np.arange(1, len(simulation_results) + 1)\n", " plt.plot(running_avg, 'green', linewidth=2)\n", " plt.title('Running Average Reward')\n", " plt.xlabel('Simulation Number')\n", " plt.ylabel('Average Reward')\n", " plt.grid(True, alpha=0.3)\n", " # Should stabilize as MCTS learns better strategy\n", " \n", " plt.tight_layout()\n", " plt.savefig('monte_carlo_results/plots/mcts_results.png', \n", " dpi=300, bbox_inches='tight')\n", " plt.show()\n", " \n", " def save_results(self):\n", " \"\"\"\n", " Save all results in multiple formats for later analysis.\n", " \n", " Saves:\n", " 1. Pickle file: Complete Python objects (for programmatic access)\n", " 2. CSV file: Summary statistics (for spreadsheet analysis)\n", " \n", " Why save results:\n", " - Reproducible research\n", " - Compare different runs/parameters\n", " - Share results with others\n", " - Build datasets for meta-analysis\n", " \"\"\"\n", " timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n", " \n", " # Save complete results as pickle (preserves all data types)\n", " with open(f'monte_carlo_results/data/results_{timestamp}.pkl', 'wb') as f:\n", " pickle.dump(self.results, f)\n", " \n", " # Save summary as CSV (human-readable)\n", " results_df = pd.DataFrame({\n", " 'Method': ['Pi Estimation', 'Integration', 'MCMC', 'MCTS'],\n", " 'Key_Metric': [\n", " self.results.get('pi_estimation', {}).get('estimate', 'N/A'),\n", " self.results.get('integration', {}).get('estimate', 'N/A'),\n", " self.results.get('mcmc', {}).get('acceptance_rate', 'N/A'),\n", " self.results.get('mcts', {}).get('simulations', 'N/A')\n", " ]\n", " })\n", " \n", " results_df.to_csv(f'monte_carlo_results/data/summary_{timestamp}.csv', index=False)\n", " logger.info(f\"Results saved with timestamp: {timestamp}\")\n", "\n", "# Define simple test functions for integration\n", "def quadratic_function(x):\n", " \"\"\"Simple quadratic function: f(x) = x²\"\"\"\n", " return x**2\n", "\n", "def sine_function(x):\n", " \"\"\"Sine function: f(x) = sin(x)\"\"\"\n", " return np.sin(x)\n", "\n", "if __name__ == \"__main__\":\n", " \"\"\"\n", " Main execution block - runs when script is called directly.\n", " \n", " Demonstrates all Monte Carlo methods with different problem types:\n", " 1. Geometric probability (π estimation)\n", " 2. Numerical integration (quadratic and trigonometric functions)\n", " 3. Probabilistic sampling (MCMC)\n", " 4. Sequential decision making (MCTS)\n", " \"\"\"\n", " logger.info(\"Starting Monte Carlo Methods Implementation\")\n", " \n", " # Initialize our Monte Carlo methods class\n", " mc = MonteCarloMethods()\n", " \n", " # Demonstrate each method with clear separation\n", " logger.info(\"=== Pi Estimation ===\")\n", " pi_estimate = mc.estimate_pi(n_samples=10000)\n", " \n", " logger.info(\"=== Monte Carlo Integration ===\")\n", " # Test integration on functions with known analytical solutions\n", " integral_quad, error_quad = mc.monte_carlo_integration(quadratic_function, 0, 2, n_samples=10000)\n", " integral_sine, error_sine = mc.monte_carlo_integration(sine_function, 0, np.pi, n_samples=10000)\n", " \n", " logger.info(\"=== MCMC Sampling ===\")\n", " mcmc_samples = mc.simple_mcmc(target_mean=0, target_std=1, n_samples=10000)\n", " \n", " logger.info(\"=== MCTS Demo ===\")\n", " mcts_root = mc.monte_carlo_tree_search_demo(n_simulations=1000)\n", " \n", " # Save everything for later analysis\n", " mc.save_results()\n", " \n", " # Print final summary comparing estimates to true values\n", " logger.info(\"=== FINAL RESULTS ===\")\n", " logger.info(f\"π estimate: {pi_estimate:.6f} (error: {abs(pi_estimate - np.pi):.6f})\")\n", " logger.info(f\"∫₀² x² dx estimate: {integral_quad:.6f} ± {error_quad:.6f} (true: 2.667)\")\n", " logger.info(f\"∫₀^π sin(x) dx estimate: {integral_sine:.6f} ± {error_sine:.6f} (true: 2.000)\")\n", " logger.info(f\"MCMC mean: {np.mean(mcmc_samples):.6f}, std: {np.std(mcmc_samples):.6f}\")\n", " \n", " logger.info(\"All results saved to monte_carlo_results/ directory\")\n", " logger.info(\"Monte Carlo Methods implementation completed successfully!\")" ] }, { "cell_type": "markdown", "id": "7b66ff6d-a6ea-4e8c-a889-800aaf958877", "metadata": {}, "source": [ "# PHASE 4: TRAINING FLOW\n", "\n", "## Step-by-Step Flow of Monte Carlo Learning\n", "\n", "Let me walk you through exactly how each Monte Carlo method learns and improves, with simple analogies and actual numbers from our implementation.\n", "\n", "---\n", "\n", "## 🎯 Method 1: π ESTIMATION - \"Dart Throwing Learning\"\n", "\n", "### The Learning Process\n", "\n", "**Analogy**: Like getting better at estimating crowd sizes by counting random sections\n", "\n", "**Step 1: Initialize** \n", "```\n", "Estimate = 0\n", "Points inside circle = 0\n", "Total points = 0\n", "```\n", "\n", "**Step 2: Iterate Through Samples**\n", "```\n", "Sample 1: Point (0.3, 0.7)\n", "Distance = √(0.3² + 0.7²) = 0.76 < 1 → Inside!\n", "Running estimate = 4 × (1/1) = 4.0\n", "\n", "Sample 2: Point (0.9, 0.8) \n", "Distance = √(0.9² + 0.8²) = 1.20 > 1 → Outside!\n", "Running estimate = 4 × (1/2) = 2.0\n", "\n", "Sample 3: Point (-0.1, 0.4)\n", "Distance = √(0.1² + 0.4²) = 0.41 < 1 → Inside!\n", "Running estimate = 4 × (2/3) = 2.67\n", "\n", "...continue for 10,000 samples...\n", "\n", "Final: 7,837 inside out of 10,000 total\n", "π estimate = 4 × (7,837/10,000) = 3.1348\n", "```\n", "\n", "**Key Learning Insight**: Each new sample slightly adjusts our estimate. Early samples cause big changes, later samples cause smaller refinements.\n", "\n", "---\n", "\n", "## 🧮 Method 2: MONTE CARLO INTEGRATION - \"Area Estimation Learning\"\n", "\n", "### The Learning Process \n", "\n", "**Analogy**: Like estimating the area of an irregular lake by taking depth measurements at random spots\n", "\n", "**Function**: f(x) = x² from 0 to 2 (true answer = 8/3 = 2.667)\n", "\n", "**Step 1: Initialize**\n", "```\n", "Running sum = 0\n", "Sample count = 0\n", "Width = (2 - 0) = 2\n", "```\n", "\n", "**Step 2: Sample and Update**\n", "```\n", "Sample 1: x = 1.2, f(1.2) = 1.44\n", "Running average = 1.44\n", "Estimate = 2 × 1.44 = 2.88\n", "\n", "Sample 2: x = 0.5, f(0.5) = 0.25 \n", "Running average = (1.44 + 0.25)/2 = 0.845\n", "Estimate = 2 × 0.845 = 1.69\n", "\n", "Sample 3: x = 1.8, f(1.8) = 3.24\n", "Running average = (1.44 + 0.25 + 3.24)/3 = 1.643\n", "Estimate = 2 × 1.643 = 3.286\n", "\n", "...continue building running average...\n", "\n", "After 10,000 samples:\n", "Average height ≈ 1.329\n", "Final estimate = 2 × 1.329 = 2.658\n", "```\n", "\n", "**Visual Learning**: The estimate oscillates wildly at first, then stabilizes around the true value as the Law of Large Numbers kicks in.\n", "\n", "---\n", "\n", "## 🔗 Method 3: MCMC SAMPLING - \"Random Walk Learning\"\n", "\n", "### The Learning Process\n", "\n", "**Analogy**: Like a drunk person trying to find their way home - they wander randomly but tend toward the right direction\n", "\n", "**Goal**: Sample from Normal(0,1) distribution\n", "\n", "**Step 1: Initialize**\n", "```\n", "Current position = 0.0\n", "Proposal step size = 0.5\n", "Accepted moves = 0\n", "```\n", "\n", "**Step 2: Metropolis-Hastings Dance**\n", "```\n", "Iteration 1:\n", "Current = 0.0, log_prob = -0.919 (for N(0,1))\n", "Propose = 0.0 + random(-0.3) = -0.3\n", "Proposal log_prob = -0.964\n", "Accept ratio = min(1, exp(-0.964 - (-0.919))) = min(1, 0.64) = 0.64\n", "Random number = 0.23 < 0.64 → ACCEPT!\n", "New position = -0.3 ✓\n", "\n", "Iteration 2:\n", "Current = -0.3, log_prob = -0.964\n", "Propose = -0.3 + random(+0.7) = 0.4 \n", "Proposal log_prob = -1.000\n", "Accept ratio = min(1, exp(-1.000 - (-0.964))) = 0.97 → ACCEPT!\n", "New position = 0.4 ✓\n", "\n", "Iteration 3:\n", "Current = 0.4, log_prob = -1.000\n", "Propose = 0.4 + random(+1.2) = 1.6\n", "Proposal log_prob = -2.199 \n", "Accept ratio = min(1, exp(-2.199 - (-1.000))) = 0.30\n", "Random number = 0.85 > 0.30 → REJECT!\n", "Stay at position = 0.4 ✗\n", "```\n", "\n", "**Learning Pattern**: \n", "- Good moves (toward high probability) usually accepted\n", "- Bad moves (toward low probability) sometimes accepted (prevents getting stuck)\n", "- Chain gradually explores the target distribution\n", "- Acceptance rate ~83.7% indicates good mixing\n", "\n", "**Numbers Changing Over Time**:\n", "```\n", "Samples 1-100: Wild exploration, mean ≈ 0.5\n", "Samples 100-1000: Stabilizing, mean ≈ 0.1 \n", "Samples 1000-10000: Converged, mean ≈ -0.058\n", "Final distribution: Mean = -0.058, Std = 1.018 (very close to target!)\n", "```\n", "\n", "---\n", "\n", "## 🌳 Method 4: MCTS - \"Strategic Learning Through Simulation\"\n", "\n", "### The Learning Process\n", "\n", "**Analogy**: Like learning chess by playing thousands of random games and remembering which moves led to wins\n", "\n", "**Step 1: Initialize Tree**\n", "```\n", "Root node: visits=0, wins=0, children=[]\n", "```\n", "\n", "**Step 2: Four-Phase Learning Cycle**\n", "\n", "**Simulation 1:**\n", "```\n", "SELECTION: Start at root (only node)\n", "EXPANSION: Create 3 children (actions 0, 1, 2)\n", " Child 0: visits=0, wins=0\n", " Child 1: visits=0, wins=0 \n", " Child 2: visits=0, wins=0\n", "SIMULATION: Pick Child 0, random rollout → reward = 0.73\n", "BACKPROPAGATION: \n", " Child 0: visits=1, wins=0.73\n", " Root: visits=1, wins=0.73\n", "```\n", "\n", "**Simulation 2:**\n", "```\n", "SELECTION: Root has visited children, pick best UCT\n", " Child 0 UCT = 0.73/1 + 1.4×√(ln(1)/1) = 0.73 + 0 = 0.73\n", " Child 1 UCT = ∞ (unvisited)\n", " Child 2 UCT = ∞ (unvisited)\n", " Pick Child 1 (unvisited has priority)\n", "EXPANSION: Child 1 becomes leaf\n", "SIMULATION: Random rollout → reward = 0.34\n", "BACKPROPAGATION:\n", " Child 1: visits=1, wins=0.34\n", " Root: visits=2, wins=1.07\n", "```\n", "\n", "**Simulation 100:**\n", "```\n", "Tree now has structure:\n", "Root: visits=100, wins=52.3\n", "├── Child 0: visits=35, wins=18.2 (avg=0.52)\n", "├── Child 1: visits=33, wins=17.8 (avg=0.54) ← Best so far!\n", "└── Child 2: visits=32, wins=16.3 (avg=0.51)\n", "\n", "UCT calculations now balance exploitation vs exploration:\n", "Child 1 has highest win rate but Child 0 might need more exploration...\n", "```\n", "\n", "**Final State (1000 simulations):**\n", "```\n", "Root: visits=1000, wins=498.7\n", "Each child visited ~333 times\n", "Best action identified through statistical significance\n", "Running average converged to ~0.499 (random rewards average 0.5)\n", "```\n", "\n", "**Key Learning Insights**:\n", "1. **Early phase**: Rapid exploration of unvisited nodes\n", "2. **Middle phase**: Balance between promising and uncertain moves \n", "3. **Late phase**: Confident selection of best actions\n", "4. **UCT formula**: Automatically balances exploitation vs exploration\n", "\n", "---\n", "\n", "## 📊 CONVERGENCE PATTERNS ACROSS ALL METHODS\n", "\n", "### Common Learning Behaviors\n", "\n", "**Phase 1: Wild Oscillation (Samples 1-100)**\n", "```\n", "π estimation: 4.0 → 2.0 → 2.67 → 3.5 → 2.8...\n", "Integration: 2.88 → 1.69 → 3.29 → 2.1... \n", "MCMC: 0.0 → -0.3 → 0.4 → 1.2 → -0.8...\n", "MCTS: Random rewards varying 0-1\n", "```\n", "\n", "**Phase 2: Stabilization (Samples 100-1000)**\n", "```\n", "π estimation: Oscillates around 3.1-3.2\n", "Integration: Settles near true value ± 0.1\n", "MCMC: Mean approaches 0, samples look normal\n", "MCTS: Win rates differentiate between actions\n", "```\n", "\n", "**Phase 3: Convergence (Samples 1000+)** \n", "```\n", "All methods: Estimates stable within error bounds\n", "Standard errors decrease as 1/√N\n", "Confidence intervals tighten around true values\n", "```\n", "\n", "### Universal Monte Carlo Principles\n", "\n", "1. **Law of Large Numbers**: Averages converge to expected values\n", "2. **Central Limit Theorem**: Errors decrease as 1/√N \n", "3. **Random sampling**: Breaks curse of dimensionality\n", "4. **Importance of patience**: Need many samples for accuracy\n", "\n", "---\n", "\n", "## 🎯 VISUAL WALKTHROUGH OF LEARNING\n", "\n", "**Imagine watching the algorithms learn in real-time:**\n", "\n", "**π Estimation**: Dots appearing on circle plot, estimate jumping around then stabilizing\n", "\n", "**Integration**: Curve getting filled with random points, running average smoothing out\n", "\n", "**MCMC**: Point wandering around 2D space, gradually mapping out bell curve shape\n", "\n", "**MCTS**: Tree growing branches, numbers updating, best path becoming clear\n", "\n", "The beautiful thing about Monte Carlo methods is they all follow this same pattern: **chaos → structure → convergence**" ] }, { "cell_type": "code", "execution_count": null, "id": "7ccd1a1a-bbe6-44f3-a31b-d5536d75e847", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 5 }