{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# How to Use Forecasters in Merlion\n", "\n", "This notebook will guide you through using all the key features of forecasters in Merlion. Specifically, we will explain\n", "\n", "1. Initializing a forecasting model (including ensembles and automatic model selectors)\n", "1. Training the model\n", "1. Producing a forecast with the model\n", "1. Visualizing the model's predictions\n", "1. Quantitatively evaluating the model\n", "1. Saving and loading a trained model\n", "1. Simulating the live deployment of a model using a `ForecastEvaluator`\n", "\n", "We will be using a single example time series for this whole notebook. We load it now:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 414/414 [00:00<00:00, 581.91it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Has missing data: False\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "700 points in train split, 48 points in test split.\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "from merlion.utils.time_series import TimeSeries\n", "from ts_datasets.forecast import M4\n", "\n", "# Load the time series\n", "# time_series is a time-indexed pandas.DataFrame\n", "# trainval is a time-indexed pandas.Series indicating whether each timestamp is for training or testing\n", "time_series, metadata = M4(subset=\"Hourly\")[5]\n", "trainval = metadata[\"trainval\"]\n", "\n", "# Is there any missing data?\n", "timedeltas = np.diff(time_series.index)\n", "print(f\"Has missing data: {any(timedeltas != timedeltas[0])}\")\n", "\n", "# Visualize the time series and draw a dotted line to indicate the train/test split\n", "fig = plt.figure(figsize=(10, 6))\n", "ax = fig.add_subplot(111)\n", "ax.plot(time_series)\n", "ax.axvline(time_series[trainval].index[-1], ls=\"--\", lw=\"2\", c=\"k\")\n", "plt.show()\n", "\n", "# Split the time series into train/test splits, and convert it to Merlion format\n", "train_data = TimeSeries.from_pd(time_series[trainval])\n", "test_data = TimeSeries.from_pd(time_series[~trainval])\n", "print(f\"{len(train_data)} points in train split, \"\n", " f\"{len(test_data)} points in test split.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Initialization\n", "\n", "In this notebook, we will use three different forecasting models:\n", "1. ARIMA (a classic stochastic process model)\n", "2. Prophet (Facebook's popular time series forecasting model)\n", "3. MSES (the Multi-Scale Exponential Smoothing model, developed in-house)\n", "\n", "Let's start by initializing each of them." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "plotly not installed, so plotly visualizations will not work.\n", "Importing plotly failed. Interactive plots will not work.\n" ] } ], "source": [ "# Import models & configs\n", "from merlion.models.forecast.arima import Arima, ArimaConfig\n", "from merlion.models.forecast.prophet import Prophet, ProphetConfig\n", "from merlion.models.forecast.smoother import MSES, MSESConfig\n", "\n", "# Import data pre-processing transforms\n", "from merlion.transform.base import Identity\n", "from merlion.transform.resample import TemporalResample\n", "\n", "# All models are initialized using the syntax ModelClass(config),\n", "# where config is a model-specific configuration object. This is where\n", "# you specify any algorithm-specific hyperparameters, as well as any\n", "# data pre-processing transforms.\n", "\n", "# ARIMA assumes that input data is sampled at a regular interval,\n", "# so we set its transform to resample at that interval. We must also specify\n", "# a maximum prediction horizon.\n", "config1 = ArimaConfig(max_forecast_steps=100, order=(20, 1, 5),\n", " transform=TemporalResample(granularity=\"1h\"))\n", "model1 = Arima(config1)\n", "\n", "\n", "# Prophet has no real assumptions on the input data (and doesn't require\n", "# a maximum prediction horizon), so we skip data pre-processing by using\n", "# the Identity transform.\n", "config2 = ProphetConfig(max_forecast_steps=None, transform=Identity())\n", "model2 = Prophet(config2)\n", "\n", "\n", "# MSES assumes that the input data is sampled at a regular interval,\n", "# and requires us to specify a maximum prediction horizon. We will\n", "# also specify its look-back hyperparameter to be 60 here\n", "config3 = MSESConfig(max_forecast_steps=100, max_backstep=60,\n", " transform=TemporalResample(granularity=\"1h\"))\n", "model3 = MSES(config3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have initialized the individual models, we will also combine them in two different ensembles: `ensemble` simply takes the mean prediction of each individual model, and `selector` selects the best individual model based on its sMAPE (symmetric Mean Average Precision Error). The sMAPE is a metric used to evaluate the quality of a continuous forecast. For ground truth $y \\in \\mathbb{R}^T$ and prediction $\\hat{y} \\in \\mathbb{R}^T$, the sMAPE is computed as\n", "\n", "$$\n", "\\mathrm{sMAPE}(y, \\hat{y}) = \\frac{200}{T} \\sum_{t = 1}^{T} \\frac{\\lvert \\hat{y}_t - y_t \\rvert}{\\lvert\\hat{y}_t\\rvert + \\lvert y_t \\rvert}\n", "$$" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from merlion.evaluate.forecast import ForecastMetric\n", "from merlion.models.ensemble.combine import Mean, ModelSelector\n", "from merlion.models.ensemble.forecast import ForecasterEnsemble, ForecasterEnsembleConfig\n", "\n", "# The ForecasterEnsemble is a forecaster, and we treat it as a first-class model.\n", "# Its config takes a combiner object, specifying how you want to combine the \n", "# predictions of individual models in the ensemble. There are two ways to specify\n", "# the actual models in the ensemble, which we cover below.\n", "\n", "# The first way to specify the models in the ensemble is to provide their individual\n", "# configs when initializing the ForecasterEnsembleConfig. Note that if using this\n", "# syntax, you must also provide the names of the model classes.\n", "#\n", "# The combiner here will simply take the mean prediction of the ensembles here\n", "ensemble_config = ForecasterEnsembleConfig(\n", " combiner=Mean(),\n", " model_configs=[(type(model1).__name__, config1),\n", " (type(model2).__name__, config2),\n", " (type(model3).__name__, config3)])\n", "ensemble = ForecasterEnsemble(config=ensemble_config)\n", "\n", "\n", "# Alternatively, you can skip giving the individual model configs to the\n", "# ForecasterEnsembleConfig, and instead directly specify the models when\n", "# initializing the ForecasterEnsemble itself.\n", "#\n", "# The combiner here uses the sMAPE to compare individual models, and\n", "# selects the model with the lowest sMAPE\n", "selector_config = ForecasterEnsembleConfig(\n", " combiner=ModelSelector(metric=ForecastMetric.sMAPE))\n", "selector = ForecasterEnsemble(\n", " config=selector_config, models=[model1, model2, model3])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Training\n", "\n", "All forecasting models (and ensembles) share the same API for training. The `train()` method returns the model's predictions and standard error of those predictions on the training data. Note that the standard error is just `None` if the model doesn't support uncertainty estimation (this is the case for MSES and ensembles)." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training Arima...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training Prophet...\n", "\n", "Training MSES...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 1/3...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training ensemble...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 2/3...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3...\n", "INFO:merlion.models.ensemble.forecast:Training model 1/3...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training model selector...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 2/3...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3...\n", "INFO:merlion.models.ensemble.forecast:Evaluating validation performance...\n", "Validation: 100%|██████████| 500400/500400 [00:01<00:00, 370267.02it/s] \n", "INFO:merlion.models.ensemble.forecast:Re-training model 1/3 on full data...\n", "INFO:merlion.models.ensemble.forecast:Re-training model 2/3 on full data...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Re-training model 3/3 on full data...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done!\n" ] } ], "source": [ "print(f\"Training {type(model1).__name__}...\")\n", "forecast1, stderr1 = model1.train(train_data)\n", "\n", "print(f\"\\nTraining {type(model2).__name__}...\")\n", "forecast2, stderr2 = model2.train(train_data)\n", "\n", "print(f\"\\nTraining {type(model3).__name__}...\")\n", "forecast3, stderr3 = model3.train(train_data)\n", "\n", "print(\"\\nTraining ensemble...\")\n", "forecast_e, stderr_e = ensemble.train(train_data)\n", "\n", "print(\"\\nTraining model selector...\")\n", "forecast_s, stderr_s = selector.train(train_data)\n", "\n", "print(\"Done!\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Inference\n", "\n", "To obtain a forecast from a trained model, we simply call `model.forecast()` with the Unix timestamps at which we the model to generate a forecast. In many cases, you may obtain these directly from a time series as shown below." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Truncate the test data to ensure that we are within each model's maximum\n", "# forecast horizon.\n", "sub_test_data = test_data[:50]\n", "\n", "# Obtain the time stamps corresponding to the test data\n", "time_stamps = sub_test_data.univariates[sub_test_data.names[0]].time_stamps\n", "\n", "# Get the forecast & standard error of each model. These are both\n", "# merlion.utils.TimeSeries objects. Note that the standard error is None for\n", "# models which don't support uncertainty estimation (like MSES and all\n", "# ensembles).\n", "forecast1, stderr1 = model1.forecast(time_stamps=time_stamps)\n", "forecast2, stderr2 = model2.forecast(time_stamps=time_stamps)\n", "\n", "# You may optionally specify a time series prefix as context. If one isn't\n", "# specified, the prefix is assumed to be the training data. Here, we just make\n", "# this dependence explicit. More generally, this feature is useful if you want\n", "# to use a pre-trained model to make predictions on data further in the future\n", "# from the last time it was trained.\n", "forecast3, stderr3 = model3.forecast(time_stamps=time_stamps, time_series_prev=train_data)\n", "\n", "# The same options are available for ensembles as well, though the stderr is None\n", "forecast_e, stderr_e = ensemble.forecast(time_stamps=time_stamps)\n", "forecast_s, stderr_s = selector.forecast(time_stamps=time_stamps, time_series_prev=train_data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Visualization and Quantitative Evaluation\n", "\n", "It is fairly transparent to visualize a model's forecast and also quantitatively evaluate the forecast, using standard metrics like sMAPE. We show examples for all five models below.\n", "\n", "Below, we quantitatively evaluate the models using the sMAPE metric. However, the `ForecastMetric` enum includes a number of other options as well. In general, you may use the syntax\n", "```\n", "ForecastMetric..value(ground_truth=ground_truth, predict=forecast)\n", "```\n", "where `` is the name of the evaluation metric (see the API docs for details and more options), `ground_truth` is the original time series, and `forecast` is the forecast returned by the model. We show concrete examples with `ForecastMetric.sMAPE` below." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Arima sMAPE is 3.770\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from merlion.evaluate.forecast import ForecastMetric\n", "\n", "# We begin by computing the sMAPE of ARIMA's forecast (scale is 0 to 100)\n", "smape1 = ForecastMetric.sMAPE.value(ground_truth=sub_test_data,\n", " predict=forecast1)\n", "print(f\"{type(model1).__name__} sMAPE is {smape1:.3f}\")\n", "\n", "# Next, we can visualize the actual forecast, and understand why it\n", "# attains this particular sMAPE. Since ARIMA supports uncertainty\n", "# estimation, we plot its error bars too.\n", "fig, ax = model1.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prophet sMAPE is 2.912\n" ] }, { "data": { "image/png": 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mqampEYnBaDTy1FNPUVlZyW233Yau6xGJQwghRNtlt9sZNmxYzT/bt2+PdEgAPPXUU3g8nmY5lyTIQhwFmzZt4pprruGFF16ga9euEY3FarXy6quvsmrVqjbfp1IIIcTRZ7fbWbJkSc0/nTt3btT9QqFQi8b1zDPPSIIsRFtRUlLCZZddxowZMzjuuOMiHQ4ALpeLd955h08//ZSXX3450uEIIYRo41auXMlJJ53EkCFDuOCCCygrKwNgzJgxTJ8+neOOO46nn36a5cuXM3r0aEaOHMlZZ53Fnj17ANiyZQvjxo1j6NChjBgxgi1btuB2uxk7diwjRoxg8ODBfPrppwBUV1dzzjnnMHToUAYNGsT777/PM888Q15eHmeccUazTJCVTXpCtCCfz8ff/vY3zj33XC688MJIh1NLQkICs2fP5pxzziE+Pp4//OEPkQ5JCCFEE0z/bB2r9lQ16zkHpEXx2ITeDR7j9XoZNmwYAJ07d+b9999n0qRJPP7445x88snce++93HfffTz22GMABAIBFixYQDAYZPTo0XzwwQckJSXx/vvvc/fddzNr1iwmTZrEzTffzDnnnIPP50PTNCwWC++//z7R0dEUFxdz0kknMWHCBObOnUt6ejqffPIJABUVFcTExPDUU08xd+5cEhMTj/g6SIIsRAvRdZ1//OMfpKWlcdNNN0U6nDplZmby7rvvcsEFFxAXF8dpp50W6ZCEEEK0cvtKLPapqKigoqKCk08+GYC//OUv/PnPf675+QUXXADAxo0bWbNmDePHjwdAVVVSU1OpqqoiLy+Pc845B6Cmy1IwGGTGjBn88ssvGAwG8vLyKCgooG/fvtxyyy3cfvvtjB8/nhNPPLHZn6MkyEK0kMcee4ydO3fy/vvvN8vAj5bSs2dPXnnlFSZNmsRHH31EVlZWpEMSQgjRCIda6W0tnE4nEF446tOnDz/99FOtn1dV1b0K/t5771FcXMzChQsxm8306NEDn89Hjx49WLhwIXPmzOGee+7htNNO44477mjWmFvvu7YQbdhHH33Ef//7X1577TXsdnukwzmkYcOGMW3aNP75z39GOhQhhBBtTExMDLGxsfzyyy8AvPvuu5x00kkHHdejRw+KiopYuHAhEF4hXrt2LVFRUWRkZNSUTPj9fjweDxUVFSQlJWE2m/nhhx/YsWMHAHl5eTgcDv785z9zww03sGLFCiC8v6a+ZLupJEEWopktWrSIu+++mzfffLNNjXW+/PLL2bZtGz/88EOkQxFCCNHGvPLKK9x2220MGTKElStX1rmia7FYmD17NnfccQdDhw5l2LBhLFiwAICXX36Z5557jiFDhnDKKaeQn5/PxRdfzPLlyxk8eDDvvPMOPXv2BGD16tWccMIJDBs2jH//+9/cdtttAFxxxRVMmDChWTbpKXo7bIQ6cOBA5syZc0TnKCoqalPJTaTJ9Qrbvn0755xzDk8++SSnnnpqvce11us1Z84cHnroIebNm4fJ1HoqsFrr9WqN5Fo1jVyvppHr1Xgtda1KSkro0aNHs5830kKhUIu/72zcuJGEhIRat02YMIGlS5cedGyLrSBv2LCB7Ozsmn+io6N54oknuOeee8jIyKi5/csvv6y5zwMPPED37t3p2bMnX3/9dc3tc+bMoWfPnnTv3p0HH3ywpUIW4oiUl5dz6aWX8o9//KPB5Lg1Gzt2LAkJCbz77ruRDkUIIYSImBZL1Xv27ElOTg4Q3qWYkZHBeeedx2uvvcYNN9zAjTfeWOv4tWvXMnv2bNasWUNeXh6jR49m48aNAFxzzTXMmzePzMxMhg0bxsSJE+nTp09LhS5EkwWDQaZMmcKoUaP461//GulwDpuiKNxzzz1ccsklnHvuuURHR0c6JCGEEOKoOyo1yN9++y3dunWjU6dO9R7zySefcNFFF2G1WunSpQvdu3dn8eLFLF68mO7du9O1a1csFgsXXXRRTRG3EK2Bruvceuut2Gw27rrrrkiHc8T69evH6aefzpNPPhnpUIQQQtShHVbHtrimXrOjkiDPnj2biy++uObPzzzzDAMGDGDSpEk1k1Z2795Nhw4dao7JzMxk9+7d9d4uRGvx/PPPs2rVKp5//nmMRmOkw2kWt9xyC7Nnz67ZMSyEEKJ1MBqNlJWVSZLcBLquU1ZW1qT36BbfhRMIBPj000954IEHALj66quZMWMGiqIwY8YMpk+fzquvvnrEjzNr1ixmzZoFhAvji4qKjuh8+xJ30TjH6vVaunQpn3zyCU8++SQej6fRM+Bb+/UyGAxceeWVzJw5kzvvvDPS4bT669WayLVqGrleTSPXq/Fa6lrpuk5BQQEFBQUtcv5I0TTtqMwMaGx+2OIJ8ldffcXgwYNJSUkBqPk3wOTJkzn77LMByMjIYNeuXTU/y83NJSMjA6De2w80ZcoUpkyZAoS7WDTHzlHZqds0x9r1Kisr48477+TJJ588rJr41n69Jk+ezMknn8yWLVsYOXJkpMNp9derNZFr1TRyvZpGrlfjybVqvNbWIaXFU/X33nuvVnnFnj17av77448/pl+/fgBMnDiR2bNn4/f72bZtG5s2bWL48OEMGzaMTZs2sW3bNgKBALNnz2bixIktHbYQhzRjxgzOPPPMFhlx2RrY7XZuv/127rnnHjRNi3Q4QgghxFHToivI1dXVzJs3jxdffLHmtptvvpmcnBwURaFz5841P+vbty8XXnghffr0wWQy8eyzz9bUijzzzDOMHTsWVVWZNGkSffv2bcmwhTikL774gpycHObOnRvpUFrUueeey6uvvsoHH3zAhRdeGOlwhBBCiKOiRRNkp9NJSUlJrdveeuuteo+/44476py8Mn78eMaPH9/s8QlxOIqKirj99tt55ZVXcDgckQ6nRe1r+zZlyhTOPvvsdv98hRBCCJBR00I0ia7r3HLLLfzpT39i6NChkQ7nqBgyZAgjRozg2WefjXQoQgghxFEhCbIQTfDhhx+yfft2pk+fHulQjqrbb7+d119/nby8vEiHIoQQQrQ4SZCFaKS8vDzuvfdennzySaxWa6TDOaoyMzO59NJLZdS7EEKIY4IkyEI0gq7rTJ8+nUmTJtG/f/9IhxMRU6dO5eeff64ZIS+EEEK0V5IgC9EIb7/9NuXl5UydOjXSoUSMy+Xipptu4u6775YJTkIIIdo1SZCFOIQdO3bw4IMP8uSTT2I2myMdTkT96U9/wuPx8Pnnn0c6FCGEEKLFSIIsRAM0TeP6669n2rRp9OjRI9LhRJzRaOSee+7hvvvuw+fzRTocIYQQokVIgixEA15++WV0XWfy5MmRDqXVOOGEE+jTpw8vv/xypEMRQgghWoQkyELUY9OmTTz55JM88cQTNVMdRdiMGTN4/vnnKSoqinQoQgghRLOTBFmIOoRCIa677jpuvvlmOnfuHOlwmiyk6eyq8JNfFaDSHyKoas16/q5du3LBBRfwyCOPNOt5hRBCiNagRUdNC9FWPfvss0RHR3PZZZdFOpQmcwdUVhd4qA5qKACEO07YTAZi7SbibEYcZiN2swGL8fA/I19//fWccMIJ/N///V+b/BAhhBBC1EcSZCF+Z/Xq1bz00kt8/fXXKIoS6XAaTdd18t1B1hd5sJkMJDlq//UOqjrl3hAF7sDeO4DVZCDWZiTGZsJpMeKyGDEZGvecY2NjmTRpEk888QRPPPFEMz8bIYQQInIkQRbiAH6/n+uvv5677rqLjIyMSIfTaEFVY1OJj7yqAPF2U51JrtmoYDYacbG/njqk6VT4VAqqg+g6RNuMDE5zYWjkB4PJkydz/PHHs2XLFrp169Zsz0cIIYSIJKlBFuIAjz/+OB06dOCCCy6IdCiNVuVXWbLbTWF1kCRH3clxfUwGBafFSILdTKLDTIVPZXdloNH3j46O5u9//zuPP/744YQuhBBCtEqygizEXuvWreOdd97h22+/bROlFbqus7sywIZiL06LgXj7kf91jreZ2FTiJd4eLrlojCuuuILjjz+eTZs2kZWVdcQxCCGEEJEmK8hCEE42b7vtNm666SaSk5MjHc4hBVSN1YUe1heHk1mHuXna0BkNClajgQ3FXrRGjpOOiopiypQpzJw5s1liEEIIISJNEmQhgPfffx+/388ll1wS6VAOqcIXYkmumxJviGSnGWMTSioaI8pqpMwbIt/d+FKLSZMm8euvv7J+/fpmjUUIIYSIBEmQxTGvvLyc+++/nwcffLBVDwTR9XBv46V5bkwGhXhby1VIxdlNbCj24QmqjTre6XRy1VVXySqyEEKIdkESZHHMe+ihhxg3bhwDBw6MdCj18oU0fivwsLHYS7zNhN3csn91TQYFswE2lfjQG1lqcfnll7No0SLWrFnTorEJIdqXUCjEpk2b+OSTT3jkkUdYtWpVpEMSQjbpiWPbypUr+fLLL/nhhx8iHUqdAqpGXlWA7eV+DECS03zUHjvaaqLIE6SgOkiqy3LI4x0OB9dccw2PPfYYr7766lGIUAjR1hQXF7N27VrWrVvHunXrWLt2LZs3byYtLY3evXvToUMH/vznP3PjjTfy17/+tU1smBbtkyTI4pilqiq33XYbt912G3FxcZEOp5aQppNfFWBrmQ9Vh1irsdlrjRsj1mpiQ7GXWJsJm+nQq9aXXnopL7zwAqtWrWLAgAFHIUIhRGtVVVXFnDlzaiXEgUCA3r1707t3b4YNG8Zll11Gz549cTqdNfe79NJLmTJlCosWLeKRRx7B5XJF8FmIY5UkyOKY9e6772I2m7nwwgsjHUoNVdMpqA6wpdRPUNOJtTZ+sl1LMBsVlCBsLvXSN8lxyNUcu91es4r8xhtvHKUohRCtzapVq7jqqqvo3r07w4YNY/LkyfTu3Zu0tLRDvo507dqVzz77jDvvvJMzzzyTl156iV69eh2lyIUIkwRZHJNKSkp4+OGH+c9//oPBEPlSfE3XKaoOsrnEh1/TiLGYMBsPLzH2hXS+316ON6hxetdYYqxHtvEw1mYivypIijNIkvPQpRaXXHIJzz33HDk5OWRnZx/RYwsh2hZd13nttdeYOXMm9913H+eee+5hncdut/PYY4/x3//+l/PPP5+77767TQ1wEm2fJMjimPTvf/+bP/zhD/Tp0yeicei6TrEnyOZSP56gSozVSJTx8OqMK/wqn28s5dP1ZVT4w90nXs8pZFSXWM7pFUeXWNthxxlrM7KuyEuMzYTF2PAHCpvNxrRp03j00Ud5++23D/sxhRBtS0VFBdOnT2fXrl189tlndOnS5YjPeeGFF9K/f38mT57MokWL+Ne//oXdbm+GaIVoWOSXzoQ4yhYvXswPP/zAjTfeGLEYdF2n1BtiyW43vxV4MCqQ5DAfMvmsyx53kGeX5HPZR5t4a2UxPRLsPDS6Iy+c3ZXTu8Ty3bYKrv58G7fM28Gvu6pQG9mV4kAWowEN2FLqa9TxF198MevXr2fZsmVNfiwhRNuzYsUKxo4dS2pqKp9++mmzJMf79O7dmzlz5uB2u5k4cSLbtm1rtnMLUR9ZQRbHlFAoxO23386MGTOIioo66o/vC2lU+EL8VhxAcbtxmY0kOg5vxXhDsZcP1pbwy84qjAqc2iWG8/sk0DnWWnPMdSPT+NugZOZsLuPTDWX868dcUl0mJvSMZ2y3WFyNHCcNEGc1klsZINlhJuEQ3TSsVivXX389jz76KO+9995hPT8hROun6zqzZs3imWee4aGHHmL8+PEt8jgul4vnn3+e119/nYkTJ7boYwkBkiCLY8zrr79OfHz8YdfFNZWu63iCGmXeEHvcAar8GgAhTSP9MBJjDZ0luW4+WFvCb4VenGYD5/dN4JyecfUm2tFWIxf2TeQPfRJYuMvN/9aX8NKyQt5aWcTorjGc0yuBDtGHri1WFIVYq5H1xV6G24yYD7HafeGFF/L000+zaNEiRowY0eTnKoRo3UpLS7n++uspLi7miy++oGPHji36eIqi8Le//Y3s7GyuvPJKFi1axB133IHFcujXLyGaShJkccwoKCjgiSee4OOPP27R3pqarlPlVynxBMl3B/GGNAwKOM1GEh3hv3JlgaaVUgRUne+3VfDhuhJ2VgRIdJiYPCSZcd3jcDZyaIhJUTixYxQndoxic6mP/60vZc7mcj7fWM7QNCfn9IpnaIYThfqvjdVkoDoYYluZnx6JDdcBWiwWrrvuupqNNkKI9mPx4sVcc801nH322bz88stHNUkdNGgQX3/9Nddddx1//OMfeeGFF8jIyDhqjy+ODZIgi2PGP//5T/785z+TlZXV7OcOaToVvhCF1UGKqoOENB2TQcFpNjapjOH3dHR+2F7Jy8sKKfGG6BJr5aYT0jmlU/QRtX/rHm/jxuPT+fvgZL7cVMbnG8qZ8f0uzusVz5VDUxq8b5zNyM4KP8kuM7GHGHd9wQUX8PTTT7NgwQKOO+64w45XCNE66LrO008/zUsvvcSjjz7KGWecEZE44uLieP3113n22WeZOHEi3377LbGxsRGJRbRPkiCLY8Ivv/zC4sWL+fHHH5v1vN6gxrYyHwXVQXQdrEaFKEvzDPUo8gR5elE+i3e76Zlg44bj0xiS1vAKb1PF2kz8uX8SF/RN5MWl+Xy8vpRu8TZGd42p9z6KohBtNbK20MPwzKgGE3Wz2cwNN9zAI488wocffihTsYRow0pKSpgxYwZ79uzhyy+/JDMzM6LxGAwGpk2bRl5eHg8//DD3339/ROMR7Yt0sRDtXiAQ4Pbbb+ef//wnDoejWc6pajo7K/wsyK2k2BMk3hYun4hqhol3GjqfbyxjyqdbWJlfzZVDU5g5rjND01zNmhwfyGxQuGpoKv2T7Ty1KI9NJd4Gj7eZDPhUnR3lh+5q8Yc//IHCwkJ+/fXX5gpXCHGUFRUVceaZZ9K1a1c+/PDDiCfHB7r55pv5/PPPWb16daRDEe2IJMii3Zs1axadOnVi3LhxzXK+Um+IRblVbC7xEmc1EWszNdvKaG5VgFvm7uCZxfn0TLTzwoRunNcrHuNRWHk1GRTuODmTGKuJe3/MpdwXavD4eJuR7WV+Kg5xnMlkqllF1g+jxZwQIrJCoRBXX301559/PpMmTcJsPrzOOy0lLi6OW265hdtvvx1N0yIdjmgnJEEW7Vpubi7PP/88//rXv444ifUEVX7Lr2Z5nhuTQSHRYW6WUgqAkK7z/poS/u/zLWwt83P9yDQeGN2RNNfRfSOKtZm469RMKv0h/v1TLiGt/oTWoCi4LEbWFHoIqg2/KZ177rmUlpY2e4mLEKLlPfTQQ5hMJqZPnx7pUOp18cUXEwqF+PDDDyMdimgnJEEW7do999zDpEmT6Ny582GfI6Tp7Cj3s2hXFeW+EMlOMzZT8/3V2VLm4/qvtvPKikKGpLl4cWJXxnWPbbFyikPJirdz3ch0fiv08tLyggaPtZsNBFSdTYcYIGI0Gpk+fTqPPvqorCIL0YZ89dVX/O9//+PZZ5/FaDyysfUtyWAwcP/993P//fdTWVkZ6XBEOyAJsmi3vv/+e9auXcs111xzWPfXdZ3i6gCLc6vYUuYj1mYi5hBdG5oioOq8kVPEtV9uo9gT5PaTMrjr1EwS7ZH/+vL0LjGc2yuOT9aX8c3W8gaPjbMZyasMkO8ONHjchAkTqK6u5ptvvmnGSIUQLWXr1q3cfPPNvPjiiyQkJEQ6nEPKzs7m9NNP59FHH410KKIdkARZtEu6rvPAAw8wY8YMbDZbk+/vCaisKvCwssCD2aCQaDc1WzkFwLYyP9d8sZX3VhdzWucYXpzQjZM7RUds1bgufx+SwsAUB08u3MPGBjbtKYpCnM3EuiIvnoBa73FGo5EZM2YwY8YMPB5PS4QshGgmHo+HyZMnc+ONNzJ48OBIh9Not912Gx9//DHr1q2LdCiijZMEWbRL8+bNQ9O0Jm/MUzWdbWVeFuZW4farJDnMWJuxnKKgOsgzi/Ywc34evpDGfaM6cOMJ6cRYm/erS03XKfWGKPeF8IU0tMMoazApCredlEGszcQ/f8ylrIHNeGajgsWgsLbYg9pA3fKoUaPIzs7m8ccfb3I8QoijQ9d1br31Vvr06cNll10W6XCaJCEhgRtvvJE77rhDyrnEEZEEWbQ7uq4zc+ZM/vGPfzRpY56u62wo9rK1zE+cLdyyrblsK/fx8K+7+dvHm/lqczknd47mxYndGJruarbH2Cek6RR7QqRHm8mItmA2KlT6VYo9IUq8IUo8QdwBlaB66DePpmzai7IaqfSph2z99s9//pPZs2ezdu3aJj83IUTLe+utt1i9ejUPPfRQm+xd/pe//AW3283HH38c6VBEGyaDQkS78+233xIIBJq8ery7MkBeVYAkR/O0bdPR+a3Ay/trSliS58ZmUjinVzzn9o7HEnTjaMaV6X38IY3KgErfZAdpUftHv+q6ji+k4wtpeIIqFb4Q5T6VCr/OvqoOswIOsxGzsfZzz4q3c/3IdB7+NY8XlxVwzbDUeh8/3m5ia7mfOLuZOHvdLy/Jycnceuut3HTTTXz66aeteuOPEMeaFStW8Mgjj/DJJ580W9/4o81oNHL//fczZcoUxowZQ1RUVKRDEm2QJMiiXdm3enzDDTdgMDQ+AS3zhthQ7CXBfuTJsYbOgl1u3l9TzPpiHzFWI3/NTuSsrHii965Kl5Uf0UPUyR1QCWo6Q9JdB42AVhQFu1nBbjYQZzeREW0FwqvN3qCGL6RR6Q+xvcxPfB311qO6xLC5xMdH60vJirdxRrfYOmMwKArRe1u/Dc90YTHW/f/g4osv5v333+eNN95g0qRJR/7khRBHrKSkhClTpvDwww/TtWvXSIdTS1DVCKo6AU0nqIY/7FcHNLwhFW9Qo1u8jRTX/kWBoUOHcvLJJ/P4449z1113RTBy0VZJgizale+//x6v18tZZ53V6Pt4gxq/FVQf8RS8gKrz7bZyPlhTwu6qIKkuM1OHpzK6ayw2U8t+TVnqC2EzGhiW7sRhafyKrMmgEGU1EmU1kuQ0YzUa2FDsJcl5cCeNSUOS2Vru4+lFe+gUY6Vnor3Oc9pMBryh8AeOfsmOOj9wGAwGHnnkEc4991zGjRtHenp645+sEKLZqarK1KlTmThxImeeeWZEYtB0neqAhjsQwhPQ8IQ0PHs/wKu6Hv6yS1fQFTASfv0yGxXMBoV1xV6irSbs5v0fyu+44w5OO+00LrroInr06BGR5yTaLqlBFu3GvtXj66+/vtGrx6qms6aoGqOiHHZvY3dQ5T+ri/nrx5t5cmE+drOR207M4JVzunF2j7gWTY51XafIEyTeZmJwE5PjumREW0h0muucjmdSFG49MYM4u4l/HWLTXpzNRGF1kD0NtH7Lysri8ssv58477zyimIUQR27mzJkEAgFuu+22o/q4/pBGiSfIuiIPv+ysYkmem/XFXva4A1QHVIwKxFiNJNrNJNjNJDhMJNpNxNnD+0RsJgNWkwEjsKnEW2tjXlJSEtdffz133nmnbNgTTSYJsmg3fvzxR6qqqjj77LMbfZ/NpV4q/dphbchTdZ0P1pZw2YebeS2niM6xVu4f3ZGnx3fmlM7RLT4eWtV0ijwhOsZY6ZfiqLecoSkURaFnoh0dCNQxHS+8aa8DlQGV+37MJdjApr04m4kNRV6qG2j9Nm3aNDZu3MhXX311xLELIQ7Pt99+y+zZs3n++ecxmVr2i2Vd13EHVHIr/CzdXcWvOytZWVBNqSdElNlAot1Egt1MtNWEw2zEYjRgaMRraczeD+UF1cFat19++eWUlJTw+eeft9RTEu2UJMiiXdB1nccee4zrr7++0Zu+8qr87KoIkGBrenKc7w5yy7wdvLy8kH4pDp4e35kHRndkcKrzkL2M3QGVUq9KuS/UqE4SdfGHNEq9IXol2slKsDfqDaSxbCYDvZPslPvUOlddusfZuOG4NNYUeXlxaX695zEZwqvyawrrb/1ms9l4+OGHufPOO6mqqmq25yCEaJxdu3Zxww038Nxzz5GcnNwijxFQw6vE64u8/LKzisW5bjaVetF0SHSYSbSbj7jEDSDWZmRDsRdfaP+He5PJxL///W/uvfdeqqurj/SpiGOIJMiiXfjpp5+oqKhg4sSJjTq+0h9ifZGP+CZuytPRmbO5jKs+38LWUj83Hp/GvadlkhVfdz3ugQKqRlF1EJvJQJ9EKxnRFvyqRrEnSIk3hDeoNeprwOqASnVIIzvNSWaMtdGxN0WS00KHGAtlvrpXf0/rHMMfesfz+cZyFubWn9g6LUbcQY1tZfW3fjv++OM55ZRTeOihh444biFE4/l8PiZPnsy0adMYMWJEs55b13XKvCFy8qv5ZWclK/OrKfEEcZkNJDrCq8SHW9ZWH4vRgEL4m8EDjRw5kpEjR/Lkk0826+OJ9k0SZNHmHVh73JjVY39IY1W+B5fFgKkJKxalvhB3f5/LEwvz6Zlg5/mzuzK6a+whV4x1XafEG8QT1Oib4mBQmpN4m5Fu8XaO6xDFyMwoeiTYMJsUSnwhSrxBqvxqnauu5b4QOjAs3UWCo2VHUneNs2ExKniDB5daAPxtUDKdY608vSgfdwNlFPE2I9vL/ZT87qvPA82YMYPPP/+c5cuXH3HcQojGmTFjBp06deLvf/97s51T03WKqgMs2e1mxR433oBKgs1EoqN5VokPJdZmosAdpKi69v6HGTNm8M4777B58+YWfXzRfkiCLNq8X3/9lZKSkkatHmu6zroiDxp6k1YvftlZxZWfbWXFHjdXDk3hgTEdSXEdOkGtDqgUeUNkRFkZ2SGKVJel1oq1oig4LEYyoq0MTnNxYsdoBqQ4iXeYqAqoFHuClHlD+EPhleZoq5GhGS6cR7gZrzHMRgP9Uhy4g3Un62aDwvTj0ijzhnhxWUG95zEoCjFWI2uKPLW++jxQXFwcd911FzfffDPBYP2JtBCiecyePZtFixbx2GOPNUvf95Cms6cqwMJdVazKD6/gJjrMOC3Goz5sJMZqZF2Rt9Y+ipSUFKZNm8aMGTNkw55oFEmQRZs3c+ZMrrvuukZtLtla6qPUGyLW2riNKO6AyiO/5nHfT7mkOM08M74r5/WKx3CIVeOQFu4uYTIoDM9w0SPR3qhNdBajgQSHmd5JDk7sFM3QDBed42yoQGa0lf4pzmbZjNdY0VYT3ePtlNbTsSIrwc6F/RKYt6WCpXnues9jNRlAgQ3F3nrfnM477zySkpKYNWtWs8QuhKjbb7/9xn333cfLL7+My3Vk0zwDqkZuhZ/5u6pYV+zBYlRIcpqavXyiKSxGAxqwpbR2adcVV1zBnj17mDNnTmQCE21Ki/0Gb9iwgezs7Jp/oqOjeeKJJygtLWXMmDFkZWUxZswYysrKgPDX0Ndeey3du3dnwIABtb5qfeONN8jKyiIrK4s33nijpUIWbdD8+fMpKCjgvPPOO+SxBe4A28rDgzAaY0V+NVd9vpXvt1Xw5/6JPDGuM51iG6751XWdcl+IyoBK7yQ7QzJcRDcyGf89g6IQbTXRKdYaLsNItLf415N16RBjIc5mospfdxnFn/sn0THGwhML9+AO1l9qEWs1UVwdZHdl3a3fFEXhwQcf5LnnnmPHjh3NErsQoraysjImT57M/ffff0S9gX0hja2lXubvrGJTqQ+nyUCi3XxUP8A3JM5qJLcyUKu0y2w2c99993H33Xfj8XgiGJ1oC1rsN7lnz57k5OSQk5PDsmXLcDgcnHfeeTz44IOcfvrpbNq0idNPP50HH3wQgK+++opNmzaxadMmZs2axdVXXw1AaWkp9957L4sWLWLx4sXce++9NUm1EDNnzuTaa6895OqxO6CyttBDvM10yI4PvpDOC0vzue2bnViNCjPHdeaygUmHrFf2BjWKPCESHWZGZkaRHmVt1u4SkWJQFHol2WsmWP2exajwj+PSKfGEeHlZYYPnirebWF/sJb+e/sidOnXi6quv5tZbb5WvQYVoZpqmMW3aNMaNG9foDc2/5wlqbCz2Mn9nJTsq/MRYjSTYTQeNqI80RVGItRpZV+wleECpxYknnsigQYN4/vnnIxidaAuOyke9b7/9lm7dutGpUyc++eQT/vrXvwLw17/+lf/9738AfPLJJ1x22WUoisLIkSMpLy9nz549fP3114wZM4b4+Hji4uIYM2aMfD0iAFi4cCG7d+/mj3/8Y4PHBVSNVfnV2M2GQ76Ibyj2MvXLrfxvfRkTe8bx7Fld6VXPxLh9VE2n2BNEA4ZmuOiT7Ijo14stwWE20jvJTpkvVGfi2ivRzh/7xDNncznL8+tvpWQ0KMTbTawu8JBX5a/zmCuvvJKioiI+/vjjZotfCAGPP/441dXV3HHHHU26n6brlHpDrMqvZnmBj3x3gPi9/Yoj8a1WY1lNBkKaztbfddG57bbbePXVV6moqIhQZKItOCqjpmfPns3FF18MQEFBAWlpaQCkpqZSUBDe3LN79246dOhQc5/MzEx2795d7+2/N2vWrJraxaKiIoqKio4oZlmlbppIXK+XXnqJa665psHH1nSd9SUBKgIqMVYjdadkYb/urOK/a4qJtpq4Z2QSPROteN0VeBu4T0jTKfdpdIs1k2oxEazyUdSIdr5t8ffLoOvYQgF2FKjE1NE7ekJHC2t3hXhtwRbST8rE2sAEQYOms2BTBd1jzaRHHbzZ8Z577uHee+8lOzubqKioNnm9IkWuVdMcK9dryZIlzJ07l6effpry8vJG3cev6hR7Qux2hwioOlaTgjFQje4zUlF/58bDoumwMr+a+buqiLWZOKVzNJnRliM/sa6zukzD6LMSs3cglNPpZMKECbz66qv85S9/OfLHqMex8rvVXFrb9WrxBDkQCPDpp5/ywAMPHPQzRVGabXfrlClTmDJlCgADBw4kKSnpiM/ZHOc4lhzN67Vo0SLWrFnDCy+8gNlcfzeJraVeglY/nePqP0ZD59XlRXywtprBaYncdlIGUY3oEqHp4Ul2x3dwkBbV9Bfytvj7FZugsTjXjcVY92juK463Mf3r7Xyw1c/U4WkNnitO0yn0hoiz2On4u37OSUlJDB8+nGeeeYaZM2fW3CYaR65V07T367Vz505uvfVWXnrppUPWHYf3UajsrvRT6AmiKFZSE4w1376VlRuIi41rttg8IY25m8v53/oS8t0hkp0mKkpUPt9ZSr9kO+f0jOe4jlGYjiBXcERpFGo6nROiakrlpkyZwoQJE7jiiiuIjo5urqdzkPb+u9XcWtP1avHvgb/66isGDx5MSkoKEG61smfPHgD27NlTM7knIyODXbt21dwvNzeXjIyMem8Xx7bHH3+cadOmNZgc76rws6XMT2IDm/J8IY37f9zNB2tLOCsrln+O6tCo5FjXdUo8IbISbIeVHLdVFqOBvskOKgMqWh2lFn2T7JzXKzxAJKeBUgsIl1sk2k1sLPayvdx3UOnGrbfeyo8//siCBQua9TkIcSzxer1MnjyZa6+9tsFhIL5QuBvFgl1VrNjjpsKnkmA3tVh9cZEnyMvLC7n0w028sLSAeLuZGadk8tq53Xnnj1lMHpJMsSfIv3/ezeUfb2b26mLK6+mmcyg2kwFfSGf7AaUWXbt25fTTT+eVV15prqck2pkWT5Dfe++9mvIKgIkTJ9Z0onjjjTc455xzam5/88030XWdhQsXEhMTQ1paGmPHjmXu3LmUlZVRVlbG3LlzGTt2bEuHLVqxpUuXsnXrVi644IJ6j9lZ4WdDsZdEe/2b8kp9IW6Zt4NfdlUxZUgyU0ekNnqVosSrkh5toVMLTbJrzeLsJrrEWinz1t2x4q/ZSaS7zDyxcE+9fY/3MRoUEh0mNpf42FpWO0mOiorivvvu4+abb0bTGj6PEOJguq5z++2306VLF6644oo6f17uC7GmsJr5OyvZVOrDYlRqhnq0RP/izaU+HvolnPR+uLaEwWlOnhjXmZljO3NChyiMioLLYuSPvRN45Zzu3HNqJpnRFl7PKeLSjzYxc8EeNjcwmbM+8fbwwKKKA5Ls6667jldeeUXG3Is6tWiJRXV1NfPmzePFF1+sue3WW2/lwgsv5JVXXqFTp07897//BWD8+PF8+eWXdO/eHYfDwWuvvQZAfHw8M2bMYNiwYQDcddddxMfHt2TYopWbOXMm06ZNw2Kpe+V2R7mfTSVeEuymejeQbC/3M+O7nVT6Ve46NZPjM6Ma/fhlvhDxdiM9EuxHvQF+a9E51kapJ0R1QD1oaInNZOCG49K5ad4OXssp5OqhqQ2ey6CEk+RtZX50HbrF22qu65lnnsljjz3G2rVra76FEkI0zrvvvsuKFSv44osvDnqtqvKrrCn04AmqWI0GEuymFns909BZkuvmo3WlrCzwYDMpTOgZx7m9EkhtYOCSUVEYmRmeNrq93M9nG0r5ZmsFc7eUN7n8wqAoRFmMrC3yMjzDhdGg0K1bN0499VReffVVrrvuuuZ8yqIdUPR22Etp4MCBR9zpoqioqFXVwrR2R+t6LV++nClTpjB//vw6E+Tt5T42l/gaTI6X5rm5/6fd2EwG7j0tk6yEhrtUHMgdUDEoCoPTj2xgR3v4/aoOqCzOrSLGZqqzBd5zS/L5dEMZj57RiX7JjkOeT99b090xxkpWwv4k+eGHH0ZVVW677bZmfw7tUXv43Tqa2uv1ysnJ4dJLL+Xjjz+me/futX62pyrAuiIPDrMBh7lpUznLyssaXYPsV3W+3VrOR+tKya0MkOgwcU7PeM7MisV1mNNAqwIqX28u5/ONpeS7QzXn/EOfeIyNSJSLvSE6x1joGh9+3d+0aRN/+MMfWLBgwREPTfm99vq71VIidb0mTJjA0qVLD7q9ffWiEu1efavHuq6ztdTL5hIfiY76k+PPN5Zx13e7SHGZeeLMzk1Kjn0hjZCmMyDV0Wqa4UeS02KkR6KdMm/ddYGTBiWT6jLx+IK8Q5ZaQHjTbpLDxM5KP+uLvTU1zmeccQaLFi1q1tiFaM9KSkqYMmUKDz30UK3kOKTpbCj2sKbQQ6zN1OTkuCly8qu5+rMtPLUoH5vJwM0npvP6ud25oG/CYSfHAFEWI+f3CZdf3L23/OKVFYW8urzhHuz7xNuMbCv31ww+ysrK4qSTTqr51lqIfeRdXrQZK1asYN26dVx00UW1btd1nW1lPraW+Ul01F1zrOo6s5YV8MzifIaku3hsXGeSnfV/tfd7AVXDHVDJTnO26JtKW5MeZSHRaa5V17ePzWTg+pHp7K4K8ubKxrVdVBSFJLuJvKoA64vCSfKAAQOorq5m69atzR2+EO2OqqpMnTqViRMnMn78+JrbPUGVFXlu8qqCJDnq/tanOZT7Qjw6P49bv9mJDtw3qgNPj+/MqM4xzfqYRkXhuMwoHhzdibN7xPLhulK+23bovsYGRcFhMrCuyFPzIfyGG27gpZdeorq64Y3F4tgiCbJoMx5//HGmTp2K1bp/Y5yuh5vAbyuvPzn2hTTu+zGXj9aVMrFnHHeflomjCYM8VC3c9qh/iuOwx0a3V4qi0CPBjgp1TtnLTnVyVlYsH60rZW1xQx2la58z0W4i3x1gbZEHHYURI0Ywb968Zo5eiPbnscceIxQKceutt9bcVlwdYPFuNwFVb7FaYx2db7aWM/mzrXy/rYKL+iXw/NndGJruQqFl92pcNTSV/sl2nliYx8aSQ7/OOC1GqgIqRXvHUGdlZXH88cfz+uuvt2icom2RBFm0CRs2bOC3336r1RFF13W2lPrYVuYnoZ5uFcXeIDfO3cHCXDdXDU3h/4Y1vlPFvsco8YbolWgnyXnstHNrCrvZQO9Ee70tmK4YkkKSw8TM+Xn460ii66Io4Z30he4Qaws9DB0uCbIQhzJ37lz+85//8Pzzz2MymdD2lp7l5HtwmQ1EWVvm26/dVQFu+2Ynj87fQ0aUmWfP6srl2cnYGhgW1JxMBoU7Ts4k1mbinz/mUtqIdnAxViObS3yoWvg16frrr2fWrFl4PJ6WDle0EZIgizbhnXfe4aKLLsJmswHhxHVzqY8dDawcby33cf1X28mt9HPPqZmc26vp3U9KfCE6xVrJaI6JTu1YstNMSpSZsjremBwmA9cfl0ZuZYC3VzVtwmWiw0ShJ0hKVj9WrVrV6AlgQhxrtm3bxvTp03nxxRdJTEzEH9JYlV9d8+1aS+ybCGo6s1cXc/XnW9hY7GPq8FRmjutM59ij3/4y1mbirlM7UOlX+dcPuwgc4sO4xWjAr2rsqQoA0KtXL0aMGFHThlYISZBFq+fz+fjwww9rao91XWdTiY+dDSTHee4At83bCTo8OrYzI5rQxm2fUm+IJLu5VtsxUTdFUciKt6MQrtf+vSFpLsZ1j+WDNSVsaGSpxT7RFiOVqonjjjuO7777rpkiFqL98Hg8TJ48menTpzN06FAqfCGW7HZTGVBJcpjr7QV/JNYUeZn6xVZezylieEYUs87pytk94jC0cDlFQ7rH2Zh+XDrrin08tyQfnYaT5Biria1lPoJ7X7NuuOEGXnjhBVlFFoAkyKINmDNnDv369aNTp07ous7GEi+7KsLJcV2Ja4VfZca3O9GAB8/oRPc4W5Mfs9Ifwmkx0CvJ3iJvLu2R1WSgb5KDMp960FQ8gL8PSSbBYeLeH3LZVRlo0nk9IZ3TxoyVMgshfkfXdW688Ub69OnDZZddRm6Fn6V54XHwsS2wZ8IT1Hh60R6mf72d6qDGPadmcufJmSTaG7/p+VD2lT0cjlM6R3NRvwTmbC7ni43lDR5rNiqoOuRVhWuRe/fuzbBhw3j77bcP+/FF+yEJsmj13n33Xf785z+j7UuO9/bTrCs59qs6//xhF4XVwXALoMMYA+0Jqigo9E9xYpZ2bk2S4DTTIcZCme/gKXsus5H7RnVEQ+emudvZUe5v/Il1nREnnsoPP/xAMBhsxoiFaNtefPFFtm7dyn33P8i6Yh/ri73E20zYmrARuTF0dH7aUcm/f9zNl5vKObdXHLMmdmPkYXw7V58qv0phdZDKgEqJJ0ToMBPly7KTGJ7h4vkl+awqaHg1ONZqZFu5D39o/yry888/j9fbtG+6RPsj7/6iVduxYwdr165l1JgzWFvkIbcyQFI9u7A1dGYuyGNNkZfpx2fQL+nQwyl+zx/S8IZ0BqY5m/0N5ljRLc6G2aDU2fu4c6yVh8d0woDCzfN2sLW8cSNjLUYF3RlLly5dpCeyEHv9+OOPvPDCC7ww6yU2Voa7MiQ10Af+cPhCGp9vLGPyp1u5/+fdRNkMPHlmZ64amtqkbkANcQfCibHLamR4posTOkaTlWCjKqBS4g3WtGNrLAMKN5+YTlqUhft+yqXAXf+HaqNBQdd1civDH9j79u3LoEGDeOedd47oOYm2TzIA0aq99957nP3Hi1hZFKTEEyLJYa63HvjNnCJ+3F7J37KTOLVzdJMfyx/SqAqoDExxHFEj+2Od2Wigb4qDyoBa5xtbxxgrD4/thNmgcMvcHWwuPXSS7DArFHtCjBlzhpRZCEF48eDaa6/l2eeep8oSj9uvEd+MLdwKqoO8vLyAv3y4iWcWh4d93Hh8OjedkEGPJgxYaog7oFLoCeKwGBmW4WJgqpNoa7hHc2aMlZGZUXSItlLqVan0H7ozxYFcZiP3nNoBVdO598ddDQ4rirWa2Fnuxxvcv4r83HPP4fM17gO8aJ8kQRatViAY5J3Pv6PXqPOwGBXibPXX0321uYzZq0s4s3ssF/ZLaPJj+UIa7qDK4HQX8Y7mq6U7VsXaTHSJtVJaR6kFQGaUhYfHdsJmMnDrvB2H3LhnUBRCms4Jp41m7ty5ddY4C3Gs8Hg8TJo0iWnTriUhayBFniDx9iOvN9bRWV3o4b6fcrn84818tLaUQWlOHh3biafHd2Z01xiMzZB/V+9LjM0GhqW7yE51ElPH67vVZKB7gp0RmS5irOGONp5g3a8pdcmMtnDriRlsLfMzc0FevZv2jAYFo0FhR0U4Ie7fvz8DBgyQVeRjnCTIolXyBFVe+fwnYrv2JbtHpwbLHZbucfP0wnyGpjm5ZkRqk5vS+0Ia1UGNwWkuYhtIwkXTdIq1YTcZ6n1DS3dZeOSMzrisBm77ZifrDpEkK+ikde5OMBhk06ZNLRGyEK2eruvccMMN9O/fn9PO+zO7KwMkHGFyHFB1vtlawbQvt3Pj3B3k5Ffzxz4JvHZed+44OZN+SY5mGfZRvbeUwmY2MDTdRXaaq87E+PecFiP9U50MTXdhNCgUVQfr7JZTl2EZLiYNSuKnHVX8Z3VJvcfFWI3srgxSHQi/Xv3jH/+QVeRjnCTIotUpdAdYlOvmq3nfMeH0kxrsIrG13Me/f8ylU6yV20/JbNIQEABvUMMT0hiSXvcKhjh8JoNC32Q71UGt3l3pqS4zD4/pTIzNyO3f7GB1Yf0bapxmIwXVQc444wy+/vrrlgpbiFbt2WefZdeuXUy7/Z9sK/eTUM+G5cYo84V4e1URl328iUfn5+EPaUwbkcrbf8ji74OTSXE2z7dp+xJjq8nA0AwXgw5zMSLWZmJouov+KQ78Ib3RG/ku6JvAqZ2jeT2niEW5VXUeoygKViNs27svYsCAAfTt25f33nuvyXGK9kESZNFqBFWNdUUeVhV4CLrLWb9qOaeccnK9xxd7gtz13S6cZiP/HNWhyRtGPEEVv6oxJM0lI6RbSLTVRPd4e4OTrZKdZh45oxMJDjN3freTlfnVdR5nMxmo9KuMGi11yOLY9MMPP/DKK6/w0NMvsK1Kq3eC6KG4gyrPLN7DpR9t4u1VxWTF27nv9A7MmtiVs7Limm2DsieoUuQJYjEpDEl3MSjNecTf0imKQrLLwogOUY3eyKegcP3INLrH23jolzx2VtTdQSfKYiTfHaypd/7HP/7BM888g9/fhI47ot2QBFm0CpX+cGP7And4F/YP333LiSedhN1W92YQT0jjru934Q6o3DuqA0lNrBuuDqgEVJ3B6a4WG78qwjrEWIi2GnEH6q8dTHSYefiMTiQ7zcz4fhfL60mSAfoOHsaGDRsoKan/61Ih2ptt27Zx7bXX8ujTL1BINLE242F1q1iYW8VVn27li43ljO0Wy0sTu/GvUR0YmuZqljIKCH8zV1QdxGhQGJzmYnCai7hm3EAI1NrIlx5lodgTanBvgs1kYMYpmZiNCvf+sKvO1yNFUXCYDGzdu3E4Ozub3r1785///KfZ4hZthyTIIqI0XWdnhZ8lu90YFYV4uwmd8HCQcePG1XmfkK5z/0+5bC/zc+fJmXRr4iCQ6oBKSIch6S7pVnEUGBSFPkkOfKH6Sy0A4m0mHh7TifQoC/d8v5Olee6DjrEaDVSGDJx88sl88803LRm2EK1GdXU1kyZN4pobbsSU2Ysoq7HJo6PLfSEe/GU39/yQi8tq5IlxnZk2Io0O0U3vFV8fX0ij2BNEUSA7LVwz3NyJ8e9ZTQZ6JNjJiLZQUs+m4H1SnGZmnJJJvjvII/Pr3rTnshgp9oQo8+5fRX766acJBBo/3Ei0D5Igi4jxBjVW5VezsSTc2N5uDv86rlq5ErvdTs+ePQ66j47O84vzWZpXzdQRqQxNdzXpMd0BFU2HIWlOnJIcHzVOi5EeCXZKvQ23aoq1mXhwdEcyo63c88MuFv6uXtBhNlBYHWT06DFSZiGOCbquc/3119N/0FD6jjoHi0FpUgmEjs732yuY8tlWftlRyV8GJPL0+C70TGyeVm0QbpFZVB1C1WFAioNhGS4SGmjJ2dwURaFHgp04m5HyQ7SD65fs4O9DUliU62bu5oo6j3FZDGwu9aLrOoMHDyYrK4v//ve/LRG6aMUkQRYR4QmqLM1zU+VXSXaYa31VOGfOHMaOHVvn130frCnli03lXNg3gfFZcU16zCp/eHVhULoThyTHR11GtIUEh+mQ/UzDSXInusTauO/HXH7dtT9JNhoUgprG8aecxi+//CI7zEW79/TTT7M7v5ALp96KgtKkD/bFniD3/JDLQ7/kkeYy88xZXfnLgCTMzTRIJKCGV4yDmk7/lHA7tkSn5aglxgcyGsLfVJkUpaYTRX3O6RVH/2Q7Ly4toLD64CEiDrORKr9KiSf8s3/84x889dRTsop8jJEEWUTE9jI/uq4f1DmiorKSJUuWMGrUqIPu8+P2Sl5ZUcjJnaK4fFBSkx6vyq+iKDAozYXDLMlxJCiKQo9EO6pOg037AaKtRh4Y3ZHuCTbu/ymX3ZX735gUFAyOaHr27MmCBQtaOmwhIubbb7/ltTfe4Ib7n0Q1mBq9X0JH56vNZUz5dCsr9lQzeUgyM8d1pnOstVniCqo6xd4g/pBOn2QHIzKjSHZZDmvDYHOymgwMTHXi1/Sa0dF1MaDwj+Mz0NB5fMGeekstNpX60XSdoUOH0rt3b55++umWDF+0MpIgi6OuOqCyxx0kpo4X+++/+45hw4cTHRVV6/bVhR4enb+bPkl2ph+fgaEJm0kqfCEMBoXB6a6aMg4RGQ6zkUFpTqqDaoNvYBB+g7r3tI7oOuTs2d/+zWEyUFQdYsyYMcydO7elQxYiIrZu3cp119/ArQ8/j8kV1+CgpAPluQPcOm8nTy7Mp3uCjefP7sofeydgbIbkNaTplHnDrTF7JdoZ2SGKVJelWUdbHymnxUj/ZAeVfrXBPQ9pLjN/H5zCivxqvtpUftDPbSYDnkB4fDfAgw8+yOuvv85vv/3WUqGLVkayBXHU7Sj3YzFw0NdwOnqdm/M2l/q467tdJDvN3HVKJtYmjHIq94ewmAwMSnM2W+sicWSirSayU11U+tVDNvuPsRrpnWRnTdH+BNlmUij1hjh979hpmaon2hu3283fJk3i8htuJ7FLj0YNAlF1nQ/XlXDVZ1vZWOLl2hGpPDimIxlRR74JT9d1yn0hKgMqXWJMHNchivQoa6tKjA+U4DDTO9lOsSfUYPu3s3rEkp3qYNayAvLdB5daxNiMbC7xoWo6aWlp3HXXXVx//fVSanGMkIxBHFXh1eMA0XWsHm9Yv4FAMMDAgQNqbsutCnDndztxWAzcP7pTk3poVvpD2IwGslMlOW5t4uwmslOdVPhVgmrDCe7QDCe7KvyU7e2lvO+DVXKHLlgsFtasWdPi8QpxNN155530HnEq2aeMI7ERyfHuqgDTv97OS8sKyU51MmtiN8ZnxTXpm7b6+EIaRd4QiQ7z3pZqZkytNDE+UHqUlS5xVkoa2BisoHDDyHQU4PEFeWi/K7WwGA34NY18dzghPv/888nMzOSJJ55owchFayFZgziqtpf7sBqVOjdxzJkzhzPO2L85r8gT5PZvdqDp8MDoTk2a6uQOqBgUhQGpTqySHLdKCU4zA1IclPkanoa1r1PJsgPavpkNUOYNccYZMjREtC+BQIDPflrCGRdNIqERLdKW5rm57stt5FYGuPnEdO49LbPJfeHromo6xZ4gqg5D0lz0SXa0uYWGrvE2kh3mBrvnpLjMTBmawsoCD5+tLz/o5zEWE1vL/ARVDUVRePjhh3n77bdZuXJlC0YuWoO29dsu2jR3QCXfHSSqjl3YHq+XX375hTFjxgDhnp23f7OTKr/Kv0/v0KRenZ6giqqH+3C2tRf0Y02S00K/FAel3lC99YLd4m1EWY0syds/PMRhNlJYHZQ6ZNGuhDSdj35eQVKvQXRJiW+whEFH5/01Jcz4bhdJTjPPjO/KqM4xzTLso8IXoswfonuCneEZ4V7GbZFBUeiVZMdhNtR0MarLuO6xDE1z8uqKAnZX1S6fMBsVgppOXlW4BCMlJYV77rmH6667rt4Je5qu4wtpVAe1Bks8ROsm2YM4ahpaPf7pxx/p178/CfHxeEIaM77bRUF1gHtP60hWfOP7dfpCGj5VZ1CaU7pVtBGpLgu9Eu0U15MkGwi3b1qe50bd+2ZjNir4VI3+g4ayY8cO8vPzj3bYQjQrT1BleZ6bX1asYVjv7g0mx76QxkO/5PHKikJO7BjF4+M6k+o68lVjf0ijsDpIrM3EyMwoOsa03jrjxjIbDfRPcaJRf/ccBYXrjkvDZFCYOT+v5nVmnzirke3lPvwhDV3XOWviOXTq3pN/P/YkhdVBdlb4WVfkYXmem193VPLD9koW7KpieYGPikMMLxGtlyTI4qio8qsU1LN6DDDn668ZN24cflXn3u93saXUx+0nZTIgxdHoxwioGu6AyqBUp0zIa2MyY6z0SrRT4q17U03vJDtVAY2NJfv7HisoeFSFU089VabqiTat3Bdi6W43QVVnw4rFDBo8uN5jC9xBpn+9gx+2V3J5dhK3n5xxxN+UqZpOsTdEUNMZlOqkf2r7WmCwmw0MTHXgDtS/5yHJYebqYSmsKfLyyfrSWj8zGhR0PVzO8uP2CubvrOK8aXfw359y+GT+SraX+SjzhkvFHGYDiXYTCXYTJgNUNrByLVo3SZDFUbG9zIfNaKhz9Xj79u0UFxUxaMgQHvg5l5UFHqafkM7IzKg6zlS3oKpT4VcZmOo8qLeyaBs6xFjpFm+tc+d5r0Q7CrBk9/46ZJtRodAjZRaibcut8LMsz43NZMCkB9iyZQv9+vat89hVBR6mfbWNPVUB7j01k4v6JR5xSUWVX6XUG6JLrIXhmVEkNGGvR1sSbTXRLzm856G+cq7Tu8YwItPF6zmF7KqsXWoRbzdhMxqIs5lIcJjpmpLA1Csu5aWnZmJTVFwWIzaTodaKu81koKhaOl60VZIgixZX5Vcp8ARxWer+dZszZw6jx4zh6cWFLMx1c9XQFE7vEtPo86uaTpkvRL9kBwnNsDlFRE7nWBudY8NJ8oHt25wWAz0TbSw9YKOe3Wyg1BPi5FNOZeHChXg8nrpOKUSrpGo6G4o9rC/2Em8zYTMZ+O2338jq0QObzVbrWB2dTzeUcds3O4i2GnlyfBdGNGEBoS77yimcFgMjO0TRJc7eJrpTHIlkl4XuCTZKvaE620MqKFw3Mg2r0cBj83cfVGph/l2J4MknnUyXLl14680363w8iwEq/VqDm5BF6yUJsmhx28p82OtZPfYHAnz73XeUpA/mm60V/GVAIuf2im/0ufd9Ndgr0U6K68j7fYrIUhSFbvE2OsRYKPrdm9iwDBcbS3yU7233ZlAUdHSMjigGDhzIzz//HKmwhWgSf0hjVUE1eZVBkhymmlXHnJwcsrOzax0bUHWeWJjPc0vyGZLu4okzOzdp0/LvBVWdor3joQemOhiY6mzS+Oq2rlOMlbRoCyX11AbH20z83/BU1hf7+GBNySHPd8011/Dd99+zZu3ag36mKAoK+iFHX4vWSRJk0aIq/SEKq4P1jkhdMH8+zpQOzCswcW6vOC4ZkNjoc2u6Tok3RI8EO5kxzTNCVUSeoihkJdhJj7JQfEB7pmF7270t37O/m4VRUSjzhssspN2baAuq/CpLd7upCqgkOGq3cVuxIodBgwbV/LnEG+Tmedv5enM5F/VL5O5TM3EdZm3wvsUET0ijd5KdEZlRJDkth2wj194oikLPBDtRFgPuehLXUztHc0IHF2+tKmJ7ed2dKvaJjYlh6tSpzHzsMXw+X53HNNRBQ7RekiCLFrW1zI+jgfHOb3/0OfkpQzi9SwxThqY0up5O13VKPCE6x1rpGCMrx+2NQVH2fitgrkmSuyfYiLEaa9UhO8wGCqrD/ZC/+eYbNK3hyXxCRFKhO8DS3VUYDRBrrb1Xory8nIKCfHr06AHA+mIv1365nW1lfm4/KYPLs5MOa1x0eCEhSEVApVucjZGZrlY9Be9oMBoUeic58Aa1OuuRFRSmjUjDYTby6Py8Q5ZInHD88WT16MHrb7xx0M/sZgPFnvr7MIvWSxJk0WIqfCGKPcF6O0p8uGQjuTu2M3zkcdxwXFqTpj6VeEOkR1voFm875lZAjhUGRaF3ooNEu4lKv4oBhSHpTpbtqa6ZeGUxGvAENFIyOhITEyPN+0WrpOk6W0u9rCrwEG011dkhIicnh/79+mMyGpm3pZwb527HZICZ4zpzcqfoJj/mvvHQpd4QHWOsHJcZRadYK2ajvO0DuCxGuifYayZ0/l6szcS04alsLvXx3zXFhzzf1Vdfzc8//cRvq3+rdbvNZKDc3/DIa9E6yd8U0WK2lflw1NN+aFFuFS/951MS+43gjtM6N2lzSIk3RJLTTM9EuyTH7ZzRoNAlzkZIC/9/HprhotKvsrH4wHZvUOUPSZmFaJWCqsaaQg/byv0kOkyYjXW/ZuXkhMsr5m0p57EFe+iX7ODJM7vQLc5W5/ENqfKrFHv2jofuEEW3eLtMFK1DZrQFl8VYb43wSZ2iOaVzNO+uKmZLWd3lE/vEREczddpUZs58vFaphUFR0DTwBOXbrbZG/saIFlHuC1HsDdW5epxbFeDfP+7CuG0Jd/7tfKz1vGHUpdQXIs5mpHeSA4Mkx8cEp8WAQdFRNZ3BqU6AWt0srCaFYk+QM844Q9q9iVbFE1BZlldNiSdEksPc4GvWihUrMKT34PEFe8hOdfDP0zoS28SWlZ6gSkF1EJfVyPDMKPokO9pVP+Pmtq/UwhPS62399n/DUnFZjTz6ax7BQ5RaHDfyOPr26cMrr75a63ZFAbfUIbc5kiCLFrGtzIezjhWLkK7z6K+7MexZR5fMNHp179Loc5b7QjjNBvomO9p9OyKxn0FRiLcZ8YU0Ym0meib8rt2byUCRJ8SgwYPJz88nNzc3gtEKEVbiCbI4z42u68QfYlTznvw9eHwBXtqs0DXexl2ndsDShIUDXQ93pjAaFIZluBiY6qx3Y7SoLcpqpEushbJ6ulrEWI1cOzKNbeX+RtUjX3nVlSyYP5+cA8q9bEaFEk+wWeMWLU8SZNHsyn0hSjyhOlsHfbCmhPVFXlJ3L+Ls8Wc26nyarlPsCXfCGJDilBq6Y1CC3Yh37wSsoeku1hf7qNi7ImM0KKiajleF008/XcosRETpus6uCj8r9lTjMhsa1ULtm1+X4E3sSrLTzH2jOtRbmlafYm+I9CgLQ9JdTV51FtAp1obdbMBbTxnE8ZlR/C07iR+3V/LPH3PxhepPkqNcUVx73bU8PnMmfl+4A4bNZKCknt7LovWSTEM0K13X2VLqxVlH54rNpT7eWllEH/9mQu4yTj991CHPF1R1ij3hTSYDUpxSR3eMCg+ZCb+5DMvY1+5t/yqyQVEo96lSZiEiKqTprCv2sqHYS4LdhKURH+YLqoO8/+1CLBk9+ffpnZqc4BZ7QqS6LPRMtEvZ2WEyGhT6JNlxB9R6N9P9qV8iU4ensni3mxnf7aC6gZri4cOGMzB7IJ9+9mnN+UOaXm8CLlonyTZEsyr3qZT71INWTfyqzqPz84g2qhT++AFTp07FbGp46p0nqFLhD9EvxUH3BPsx3ZboWGc3GbAZDQRVnawEG1FWI8t27++H7DAbKHAHOOWUU1i2bBlVVVURjFYci7xBjZx8NwXu2sM/GlLuC3HHvO0Edm/g9gtPI9XVtEmgJd4QiQ4TvSQ5PmIxNhOd46z1lloAnN0jjptPTGdNoZdb5u2oGVpUl0svvZRlS5cdkHArDSbVovWRBFk0G13X2VJW9+rxWysL2V7up2/BL/Tv34/sgQMbPFeZL4Smw7CMKFJlQp4AkpxmvCEVo6IwJM3J0j3umnZvNpMBt1/FbHMwdOhQfvzxxwhHK44lFb4QS3ZX4Q/qJNhNjequ4wtp3PPDLvJ37SAxLoah3Ts06THLfCqxNiN9kh2yeNBMOsXasBoVfKH6E9lRnWO469RMdlb4uGnuDorrqS1OSkzCbreza9cuAKxGhRLph9ymSIIsmk2ZT6XCpx60a/q3Ag8frC3lpFgPq+Z/x+TJk+s9h7Z3s0mszcTQDJdsNBE14u0mAgfUIZf7VLaU7G+npCvgDqiMGTOGb775JlJhimPMnqoAS/OqsZkMjX69Cmk69/2Yy4ZiH6faCxg5dHCTHrPcF8JpUegnG5ablcmg0CfZQaVfbbBeeGRmFP86rSNFniDTv95OnjtQ53HdunXjt9/CfZFtJgOlXtmo15ZIgiyaRX21x56QxqPzd5PqMlH6w2wuueQvxMfF1XmOgKpR7AnRJdZK/xRHo+r3xLHjwORjaHq43duSA9u9GQwUVgcZOXIkS5cuPerxiWOLqulsKvGyptBDnM2IrZH7IzR0Hpufx9I91Vw7MpXy7evIPmC89KFU+kPYTAbZsNxCYm0mOsY0XGoBMDDVycNjOuEJ6Uyfs6POkdTdundj9d4E2WxU8IX0BlenResif7tEsyj3a1TWsXo8a2kBhdUhTmMTPq+Hs88+u877VwdUqgIaA1MddI2XejpxMIsxvEK3r91bVrztoLHTxZ4QWVlZFBYWUlpaGsFoRXvmD2n8VlDNrgo/SQ5To1dxdXReWlrI99sruTw7idGdXaxZu5YBAwY06v5VfhWjwcCAVKcsILSgLnFWzIaGSy0AeiTYeXRMJwwK3Dh3O+uLvbV+3r17FqtXr0Zn32q0Xu9QEtH6yN8wccRUTWdbxcEjpRfmVjFncznndLUx579vM23aNIyGg3/lSr0hUBSGZ7hIckq9sahfstNSsxN8X7u3qsD+dm9BVcenKWRnZ7NixYpIhiraqeqAytLdbioDKokOc5Omef53dQkfry/lnF5x/KlfAuvXryczM5PoqKhGPS5Adqqz0avV4vCYjQZ6JzuoDDRcagHQKdbKY2M747IYufWbHeTk7988nJiYiKZrFOQXhM9rUBrc2CdaF/lbJo7Y1jIfnpCO/YDyinJfiCcW7qFLrJXA8i847riR9OrVq9b9VE2nqDpIgsPE0HRno/qFimNbrM1Ysyt8aIYLHViet/8NSVF0yn0hBg8ezLJlyyIUpWiv/CGNlfnVGBSItTatHdvXm8t5LaeIUztHc+XQFBQUli9fQXZ29iHv6wmqhHQYlOas9TorWk683URGlIXSRiS0qS4zj43tRKrLwozvdjI/N9xFR1Ggb99+/LY6XGZh3/stl2gb5G+aOCLF1QF2VPiJs+5fRdHReXrRHtwBlT+le5n/669cfvnfat0vpOmUeEN0T7DTL9khtXSiUVwWIygKmq7TK9GGy2KoVYfsNBsprA4yZMgQli9fHsFIRXuj6TrrijyENL3JH+YX5lbx5MI9DEp1Mv34dAyEXy9zcnIYNCi7wfv6Qhp+VWdQmhOHLCIcVd3ibZgMBvyNqBtOsJt5eEwnusbZuO+HXL7ZWgFA//79WP3baiBcJlYdUAmoUofcFkhWIg6bN6ixtshLrNVY62vG77ZV8usuN3/pn8BHb7zIpEl/O+grxHJ/iF5JdjrFWpv0FaU4thkNCvF2E96ghlFRGJzmZFledU27N6tRodwbon/2IHJyctA0eSMSzWNrqY8Sb6jJgzxWF3q4/+dcusXbmHFqJua99crVHg/btm6lT5++9d7XH9JwB1UGpTkPKmETLc9iNNA70UbFIbpa7BNtNfLAmE4MSHXw6Pw8ftpeRf/+/Vm9evUBRylUB+R1qS2QBFkcFk3XWV/swaBQa7NIYXWQ5xbn0yfJjnPHYswmM6NHj6l1X19Iw2Y0kCb9jcVhSHaa8O1t9zYs3UWZL8TWsvAO8vCHLQWLK5b4+Hg2b94cwUhFe5HvDrC93E+CvWnJ8fpiLzO+20mSw8y/fjdC+rfffqNXr17YrNY67xtQNaoCKoPTXEQ3sZxDNJ9Ep4X0KAvl/sZtrnOYDNx7WkeGZ7j4YG0x0cmZVFRWUlpWBoBRgcpGnktEVosmyOXl5Zx//vn06tWL3r17s2DBAu655x4yMjLIzs4mOzubL7/8sub4Bx54gO7du9OzZ0++/vrrmtvnzJlDz5496d69Ow8++GBLhiwaaWeFn1JvqNYLt4bOzAV5qLrOlL4O3n7rLaZOm3pQR4oqv0pPmYwnDlO01VSzK3zI3rHTSw/oZmExQoknKHXIollU+kOsKfAQbzc1qbvOhmIvt3+zk1ibiYfGHDxCOmdF/fXHQVWnwq8yMNXZ5BVr0fy6xdtQoNGlEVajwmUDk9B1WJFfTd8+fVhdqw5Z+iG3BS2aIF933XWMGzeO9evXs3LlSnr37g3ADTfcQE5ODjk5OYwfPx6AtWvXMnv2bNasWcOcOXP4v//7P1RVRVVVrrnmGr766ivWrl3Le++9x9q1a1sybHEI5b4QW0p8xP/uhfvT9WXk5HuYMiSFz//zFqePPp0unbvUOsYdUIl3mIh3yIu+ODwOswGzwYCq6cTbTHSLs7E078B2b0YK3EEGDZIEWRwZX0hjVb4Hl8XYpIEcm0q93PHtTqJtBh4a04lEx8EjpHNycursf6xqOmX+EANSHCTUcT9x9FlNBvok2akKaBR7glT6Q4S0hksuusVbibaaWLzbTf/+/fltbx2y1ahQ4VcPeX8ReS2WIFdUVPDTTz9xxRVXAGCxWIiNja33+E8++YSLLroIq9VKly5d6N69O4sXL2bx4sV0796drl27YrFYuOiii/jkk09aKmxxCAFVY02BhyirsdYKcIE7yKsrChiW7qKDP5ecnBwuvfTSWvfVdR1vUKN7vF3qjsVhUxSFRIcJz952b8MynKwt9OLe2wbLZFAIqBr9B8lGPXH4VE1nbaEHXdeb1Dlic5mP277ZicNi4KHRnUl2HpzklpaVUVxcTFZW1kGPWewN0TvRLi0vW5lEp4UTOkYxMNVJktNCdVCj2BukxBvEG9QOqlFWUOiTbGd5XjW9+/atqUNWFAV0HU9QyixauxZLkLdt20ZSUhJ/+9vfGDRoEH//+9+prg63Y3rmmWcYMGAAkyZNomxvXc7u3bvp0GH/LPrMzEx2795d7+3i6NN1nQ3FXkK6XqsPZ0jXeXNlEVajganDEnn2mWe56sorsdvste5f4VdJj7bI+GhxxJIcZgLa/n7IGrBizwHt3lDI7JrFzp07qaqqilCUoi3bXOqlwqcS04QSh23l4eTYZjLw8JjOpLjqXgHOyVlB/wEDavWF1/VwZ5+sBBsZ0XXXJYvIshgNJDjM9Ey0c2LHKEZkRNEjwY7FpFDiVSn2hGqtLvdNduAOagRjM9izZw9V7v3t36qkDrnVa7HvuUOhEMuXL+fpp59mxIgRXHfddTz44INMnTqVGTNmoCgKM2bMYPr06bz66qtH/HizZs1i1qxZABQVFVFUVHRE59uXuIv99riDbCoLkugwUubbf/vXm8uprKzi6uxMfp77JR06dqRP376Ule+/hqqmU+nX6WK1UlRUXcfZjy3y+9U0v79eflWnvNyLwW8k1QyZFj8rdxTQLyb8puMJaOwIGTn++ONZsGABg5owyretk9+tpqnreuVXB9lYGiTBbqAs0Lhvu/ZUBXlq4R5SDArXjUjDGnJTVl73sWvXrGXgwIE1r5G6rlPq1ciMMuMIBCgqar0f6uT3qzYLkGmCFKdOdUCj1KeRVx4iqOlEESDJ4GXljmKGDB5MTk4O/fr1wx/S2ORzY/HLB6EDtbbfrRZLkDMzM8nMzGTEiBEAnH/++Tz44IOkpKTUHDN58uSa0cMZGRns2rWr5me5ublkZGQA1Hv7gaZMmcKUKVMAGDhwIElJSUf8HJrjHO2FO6BSXFVFl9TaY1WLPUHe21TACcmx9E+ycs1//8Pjjz9BfFxcrfsXe0MMSrfRIVZeEPaR36+m+f312hWswmwIr+p0Tq1mYZGXa2JjUVBwqTp+VaN79+6sW7eOM844I0JRR4b8bjXNgderwheisKqaLqmNrzveWeHnn4t2YFAcPHxGJzKj6i+P0NFZuGgR959zDnGx4dfJYk+IXglmeie1jfIz+f1qmK7reIIaOdvySUpQWFiscULXrmxYv4GTTjyJGF2n3K+SkBjdpI2fx4LW9LvVYiUWqampdOjQgQ0bNgDw7bff0qdPH/bs2VNzzMcff0y/fv0AmDhxIrNnz8bv97Nt2zY2bdrE8OHDGTZsGJs2bWLbtm0EAgFmz57NxIkTWypsUYeQprO6wIPdZDjoDeP1nCJUXee8Xgm8+OIsJk6YSEZ6eq1jAqqGxaCQES01daL5pDj31yEPTXdR7A2xrTzc7s1sVPCFdAYMGiIb9USjeYMaqwo8RFkOfq2rz67KALfM2wnAQ4dIjgF2785D1zQ6dMgEoNQbItFhomdi20iOxaEpioLTYiTJYaR/ioNt5X46ZvVm9Zo1ABgUBU2j5vVLtE4t2krg6aef5pJLLiEQCNC1a1dee+01rr32WnJyclAUhc6dO/Piiy8C0LdvXy688EL69OmDyWTi2WefxWgM16o+88wzjB07FlVVmTRpEn371t9YXTS/LaVevCHtoB6gG0u8fLO1gvP7JFC4YxNbtmzhpptuOuj+FT6Nfin2Ju0CF+JQ4uxmtpcHABia4QRgSa6brrG2vUfo9OyfzbJbb0bXdUk+RINCms6aomoUdGymxu2T2F0V4NZ5O9DReWh0Jzo0YhEgPD1vEAoK5b4QUVYjfZId0vayHXKZDQxKdfKf1SVUuDLYvm0bPp8Pmy38GuX2qzIAphVr0QQ5OzubpUuX1rrtrbfeqvf4O+64gzvuuOOg28ePH1/TDk4cXYXuALsqAiT9ri2bjs6LSwuItRk5v2cU99z5Ptf83/9htdR+g/AEVaKsBpLq2MktxJHYt9lT13US7Wa6xFpZtqeaP/VLBMLdLCzR8djtdrZv306XLl0aOp04hum6zqYSL1X+gxcC6rPHHeSWeTsIajoPj+lEp0aWj+Xk5DByxAiq/CpWk4H+KQ5ZPGinzEaFHglWEuxGVhQF6NK1K+vWr2NQ9iBsJoVSb5DUQ3zjICJHJumJenmCKmuLvcTajAetvv28o4o1RV4uG5jED/O+Ji0tjaFDhx50DndQIyvBLnVWotmZDAqxdiO+UHjH+NAMF2sKPVTv/drSYTZQ4gkxZIi0exMN210ZYHdlgHhb41bz8t1Bbp67HX9I48ExHencyORY03VWrlxJj34DABiQ4qw1iVS0PykuM9mpTpbvqaZvv3417d7sJgMl3saNsBaRIX8zRZ1UTWdtkQezohz0Au5XdV5ZXkCXWCtndI3hs88+4/RRow46R6U/RIrDTFwTx7MK0VjJTjOeULhzxbB0F6oOOfnhLikWowF3UGWgDAwRDajwq2wo9pJgNzWqDKegOsgt87bjDWk8MLrTASU9h7Zly2ai4hKIjo0nO83ZpP7Kom2KtZkZkOLEF9JxZWaxeu/AEKNBIahpeENSh9xayd9OUacd5T4qfWqdPYs/XldCQXWIKUNTWLkyB4vVStdu3Wodo+k6ARW6xjf+zUOIpoqxmtAJJzV9kuw4TAaWHDB2WtEVeg+QBFnULaBqrCsJEP27wUf1KfeFuGXeDtwBjQdO70j3Jr6+LVmeQ9+Bg8lOc+KU2tNjgstioF+KA5MBip2ZbNiwgWAoPGpa0RU8AUmQWytJkMVByn0htpb7ia9j5bfUF+I/q4sZmeliUKqTzz77jAkTzub3Cy9lvhAdYyzyJiBalNNiwKiEv/EwGRQGpTlYmudGJ/y1pUGBzG492bx5Mx6PJ8LRitZmT1UQVQuPEj4UDZ1H5+dR6g3y79M7kpVgP+R9DhRUdZav3sBZQ3sRbZVv1Y4VZqOBRIeJvkkOVpZoZGRksGnTZgAsRoUSbyjCEYr6SIIsDrKrwo/DZKizbvjNnCICqs7fB6dQUFjImjVrGHVa7fKKkKZjUBQ6xEjPY9GyDIpCot1U8zXl0AwXxZ4QO/Z2t7CbDVRpBnr16sVvv/0WyVBFKxNUNXaU+4iyNm5/xKfry1iaV83kwan0SmxacqxqOoVVXrYsnMfYU447nHBFG5bstDAg1cGuygBde/WteS2ymQyUeIIRjk7URxJkUYsvpFFUHcRZR23c5jIfczaXM7FnPJnRFr784gtOHzWqpmXNPuW+EN3ibI1alRHiSCU6zfjUvRv10l0ALM0Ll1lYjQoVPpXswVJmIWorrA4S0mhUB4nNZT5eXl7AyEwXZ/eMbdLjqJpOsTdEIG8TvTqkEBMTc5gRi7YqxmZkQLIDAGNK15qNevv6tfukDrlVkgxG1FJcHURRlIM2q+jovLS0gCirkT8PSCQQDPL111/XTELcxxfSsJkMpEnrGnGUhOvkwwlyksNM51hrTYKsKAq6rtN3oHSyEPupms62Mj8xdeyx+D1fSOPBn3cTYzVx/cg0FBrfkSegapR6Q/RNtrN+yc+cdNJJRxK2aKNcFiNpURZSnSYKHB1Yt3YtqrYvKdapDqgRjU/UTRJkUUPXdXZW+ImyHPxrsSDXzcoCD5cOSCLKYuSXX36mS9euZGZm1jquyq/SI8EmTe/FUeMwG7EZDQT3riIPTnWyutCDf++fFQWy+g1g2bJl0lJJAFDsCeJXNczGQ79Ovbi0gNzKADedkE6srfG1w96gRmVAJTvVSXqUlV9++YUTTzzxSMIWbZTJoBBjMzE43cWaKiOxsXFs27at5mflPqlDbo0kQRY1Kv0q3pB2UFu3oKbz8tICOkRbGN8jFoBPPw1vzjtQdUAlzm4iwSFDQcTRleQ04wmGV2H6pjgIabCp1AuAzWjAEpuMpmns3r07kmGKVkDTdbaU+ohuxAbiX3ZW8dXmci7sm0B2qrPRj1HlVwlqOsPSo0hwmqmsrGT9+vV19ooXx4Zkp5n+yQ4Cqk5qt56s3luHbDeF+7WL1kcSZFEjryqAtY4VlU83lJLnDnLl0BRMisLmzZspLi5m+PARNcfouk51SKN7gk1G+oqjLt5uYl8ZX9+k8AaqNQXhrhU2k4Fyn8qgwYOlzEJQ4gniDeqH3CNRWB3kiYV59EiwcdnApEafv9QXwmxUGJLuqmmTuWDBAgYPHnzQfg1x7Ii2GumZaMdiVFATu7J6zRog3EHFHVQJqlKH3NpIgiyAcK3cnqrgQXPhy30h3l1VzNA0Z80GqM8++4yzzzoLk3H/sZUBjXSXRdoXiYiIshprWrvF2kxkRltYUxReQTYaFFRdp/+goZIgH+N0XWdrmZ8oa8Nvfaqu8/CvuwlpOrecmNGojXy6rlPsCRJnMzHod0NAfv5Z6o+PdS6LEYvJwMAUB3n2TFb/9lvNa5aiKzUTQEXrIQmyAKDUE0KBg1q7vb2qCG9QY/KQFACq3FX8+uuvjBs3ruYYVdPRNIUucbI6IiLDYjQQZTXW7Abvl+xgbaEHjX01xwo9+w+SThbHuDKfituvYjvE6vF/VhezutDL1OGpZPxuw7HOwXXsqqZT5AmREW2hX7ID8+/K1H755RdJkI9xRoNCnM1IdqqTAqIwmMzk5uYC4X7tFT7ZqNfayHKfAGBnhR/n7zbnbS/388XGcs7uGUen2HBP47lz5zFs+HBiY2NrjivzhegcY5KxqSKikp0Wtpf5sJkM9E2yM2dzOTvLA3SOtWI1KMR27cnatWvx+/1YrdKj+1i0rcx70Ovc760t9vL2ymJO7RzN6V1rt2QrKS3l6quvQg2pxMbGEhcXR3RcPLbYJLrGmOmeHM3WpESSkpJq/qmsrKSoqIh+/fq15FMTbUCSw0zfve3eEjr1ZPXq1XTI7IDdbKDEG6x5nxWtgyTIAndApSqgknTA5jodnVnLCnCaDfxlQLj+TtN1Pv/8c2666aaa43whDbvZSKpFfpVEZMXajGh7u1T0SwlvqFpd6KFzrBW72YAnaKZLly6sWbOGwYMHRzJUEQEVvhDlPo0kR/2vVe6gykM/55LkNDF1ROpBLd1mz57N6aeP5s9/vpiysnIKS8vYU1KJw51PoCyfVau2UVRURHFxcc2/NU1j7NixGI0yVfRYF20zkugIl4D5Ejqz+rfVnDnuTKxGhRKfiqrp0gGqFZGsRlDgDmD+3V/KJbvdLN9TzZVDU2p6hS5ftgyH3U7v3r2AcM1dZUBlSJqLkNt31OMW4kAuixEUBU3XSXWZiLeZWF3o4ewecZgMCgFVJ3vocJYvXy4J8jFoe7kfu6n+5ENH5+lF+RRVh3hsXGdc5toJbUFhIT/88AMvzZpFlCsKg8VBVFIaf0h11tv+Tdd13G43ZrN09hHgNBsxGBSGpTn5bHcmvgVzgXC/dnSd6qAq+3haEflO/BgX0nRyKwNEHbA5L6TpzFpWSEaUmbN7xNXc/ulnnzJhwoSaVZUKv0q6y0KcXf5Ci8gzGhTi7Sa8QQ0Fhb7JdtYUemp+rig6fQbKRL1jUZVfpchz8CbkA32zpYIft1dyaXYivesYJf3eu+9y1vjxxMbGUuEPoROe3NhQb2RFUYiKipLuFQLYV4dsYmCak5ArmWqvj4LCQiDcr73KL3XIrYkkyMe4Mm/woK91Pt9YRm5lgMlDUmpWlvPz81m3bj2nnnoqEE6iVR3ZmCdalWSnqWbsdN9kB0WeEAXVQQDMBoVOvfpLJ4tj0M4KH7YGhoLkVgV4dkk+/ZPtXNg38eCf797N/AXz+eP5f6TMF8JuNjAk3YWzEb2UhThQosNE51grNrOB6A5ZrFkTHjttMxoo8Uo/5NZEEuRjXG5lAMcBm+vcAZV3VhWRnepgRKar5vbPv/iCMWNG16yElPtDZMXbZGOeaFWiraaaLgP99m6GWVO0vx+yPSGVqqoqCveu2oj2zxNQyXeHan1LdqCQBg/9vBuTQeGmEzIw1tHH/Z133uHcc8/FaHVgNigMSHEeso+yEHWJtpowGw0MSnXijunMqlV7B4aYDZR5QzX7KETkyd/wY5gnoFLmVXEcUGv39ZZyqgIaVwxOriml8AcCzJs7l7POCk/O8wY1nGYj6dGWOs8rRKQ4zAbMBgOqptM5zordpLB278AQi9GAP6QzcPAQKbM4huyqDGA2UO8Aoy82lrGp1Mf1I9NJdh5cK7x9xw5WLF/O2RPPpTqg0T/FedC0USEay2kxYFBgWIYTd1wnclaFV5ANSrhfu1f6Ibca8rf8GFbkCaEo+z+tauh8saGM3ok2suL31+D99NOPZGVlkZGejq7rVAVUeibaD+qZLESkKYpCosOEJ6hhUhR6JzlYvXdgyN4D6DdomJRZHCO8QY28Sj/R1rpXj5fnV/PNlnLO7B7LiR2j6jzm7bfe4o9/PB8fZnon22um4wlxOAxKeK9Ev2QnxKZTUlJCeXl5+Ie6InXIrYgkyMcoTdfZWeEn5oAdsyv2VJPnDjKhZ3ytYz/77DPOnjABgHK/Ska0pcGNKUJEUpLDTEDbNzDEzvZyP1WB8JuOUYFufQZKgnyMyKvyoxiUOj/Me0MaM+fnkeIyc+XQlDrvv2nzJtauW8sJY8aRHmUhzSXfmokjl+gw4bQY6RLvwJq2f+y0zaRQ6g1GODqxjyTIx6hyX3j2+4EjVD/fUEa01ciJHaNrbtuwcSMV5RUMGzaMkBau7pSNeaI1c1mN6Hr497pvUrgOeW3h/jrk1G49WbVqFaGQbIhpz/whjZ0VAWLqqT2evbqYYk+Iiwck1jtZ78033+K8C/9MjNNBVoKt3jINIZoiau/C1LAMF9WxnchZtQoAu8lAqVdFlzrkVqFJCXJlZSXLli2jrKyspeIRR0lepb/Wm0KRJ8jCXDdju8diOWC392effcb4s87CaDBQ5gtvzDvUmFYhIslmMuCwGAioGj0T7ZgUWLO3zMJqVNBMdtIyMlm/fn2EIxUtKd8dXomra/BCblWAD9eWMLpLDN3q+cC/Zu1atu3YyYmnjqJ/ysHjo4U4XE6zAaMCQ9Od6EldWZoT3qhn3Nuv3ReSBLk1aPBv/F/+8heKi4sB+Prrr+nXrx+33HIL2dnZvP/++0clQNH8fCGNouogzgM6UHy5sRwdOCtrf9/j8ooKFsyfz9ixY/EEVaIsRtKi5CtG0fol761DtpkMdE+w1fRDVhQFBZ3+g4fJRr12LKhqbC/3EVtHvbCOzgtL8jEbFCYNSa73HG+++SYTL7yEAekxDfZPFqKpFEUhwW6iU6wVR2pnivbsptqzr2e7jicodcitQYMJ8sqVK0lMDPeEvPfee/npp5/45ptvWLZsGffdd99RCVA0v+LqIDpKzdeFIU1nzuZyhqW7SHXt38U9d+7XHHfcccRER+MOarIxT7QZcXYzIW1vP+QkBxtKvPjV/asyvQYOkTrkdqzAHUTV6149XpTrZmleNX8ZmER8PXspcnJyyC+v5k/jR8migGgRiU4zQQ2GdIhBSejI2rXhOmSTQaHSL+VfrUGDCbKmaVRWVoYPNBjo2LEjAImJiVK/10bpezfnRVv3/6+fv6uKMl+Is3rE1tymahpffP4FZ0+YQJlfpUO0hRjZmCfaiCirEUVR0HWdvikOQhpsKgmXWdjNBjr06CsryO2UqulsLffXWXvsV3VeWFpAh2gL5/xuM/I+Ojqvvv0ef77gD/ROqbuzhRBHKspiBF1neLqLUEIXflqSA4RLxIo9kl+1Bg0myHfffTennXYar776KieccAIXXHABb7zxBpdffjnjxo07WjGKZlTpV/GGtFp9PL/YWEay08SwjP2DQZYuXUp0TAzduvfAAHSOlY15ou0w7R3p6gvp9Nk7Nnj1ARv1opMzKCgsorS0NJJhihZQWB0kpGmY65ic9+HaYvLdQf5veGqtDcoHWrB4CW5fgCv/cEa9xwhxpOxmQ3hgSJoTUrqSszJch2w1KlQFNFRN6pAjrcEE+cILL2T27Nls2LCBjRs3EggEWLhwIRdffDGPPfbY0YpRNKO8qgDWA944dlb4WVngYXxWXK0JUp999hkTJpxNuS9EVoJdpkaJNifJacITUom1megQbWHt3o16BkUBxUD/wcPIycmJbJCiWWm6zrYyH9F1rB4XuIPMXl3CiR2jGJTqrOf+Gq/P/pB//OU8ou1SWiFajqIoJDhMWI0GuvXoSfHu7fj8/r37JMAjA0Mi7pDfmWdlZfHQQw8djVhECwuqGvnuIHG2/W8eX2wqw6TAuO6xNbfl7dnDxo0buOGW23HZjKS4Dp4uJURrF2Mz7W/3luzglx2VaOgY9k6I7JM9mKVLlzJq1KhIhimaUYkniDek4bIc/Jr10vICACYPqbvnMcDXPy/C4inl4nPkG1LR8hLtJvKrggzvlMiW6FRWrF7HcUOy0dFxB0IylCbCGkyQp02b1mDfx6eeeqrZAxItp9QbAp2ajXa+kMa8zRWc2Cm61uCPzz//jDFjzkBTTPRKdMjGPNEmOc0GTIZwTWq/ZDtzNpezo9xPl1gbdpNCl94DmffeS5EOUzQTXdfZVuYP13b+zvL8an7ZWcVlAxNJqWOcNEC5L8hH773FfVOvkH7H4qhwWY2g6AzPdPFecje+Xbic44ZkYzMaKPOGSIuyRjrEY1qDCfLQoUNr/vvuu+/m3nvvbfGARMvZWeHHadlfKvH99go8IY2ze+xv7RYIBpk37xv+9cjjdIixyidY0WbtGztd7lPpmxz+Sn1NoZcuseFe3qlde7IiJwdN0zAYpISorav0q1QFNJIctd/WQprO84vzSXWZ+WOfxDrvG1A1fvrlVxK1SkafLt8oiKPDbjJgMRjoGmfFlpHFmjW/1Nxe6pVWb5HWYIL817/+tea/n3jiiVp/Fm2LO6BS6VdJcoRXT3R0Pt9QTudYK32T7TXHLVmyhE5du5KakkLnOPn0Ktq2JKeFAreHVJeJBLuJ1YUezu4Rh9Gg4HC5iEtKYfPmzfTo0SPSoYojtLsyQF2f5z/ZUMquygD3nJpZa//FPpquU1zt57NXnuSxf90lq8fiqAl/iDdT4gkyNLsfv/z4Bv5gEKvZTFDV8QY17Gb58B4pjb7y8qLRthW4A5gP2JG9odjHljIfZ/eIQ2H/7d99+y0jTx5FVoK9VqcLIdoil8WIDigo9Em21wwMAUBX6DdIBoa0B76QRr47cNBAjxJvkLdXFjEs3cWITFed9y33aaxb8D0dE2M48cQTj0a4QtRIdJjwqxrHd08BZzzfL18LhBexZGBIZEkGdAxQNZ3cykCt2rzPN5RhMymM6hpTc1uVu4rlK1cycsQIkuqp0xOiLbGbDdhMCgFVo2+SgyJPiILq8Ahii1GhW79BMjCkHSiqDqIoykH7JV5bXkRQ07lyWEqthYB9PEEVu0HjnWcf4eabbz5a4QpRw2kxAgpD0lyQ0o0fFoY/sMvAkMhrMEGOiooiOjqa6OhoVq1aVfPf+24XbUOpN4iq6TVTpSr8Kj/uqGB01xgcB7Rv+/nnnxkwZAS90+Ok/6doN1JcZjxBjX4pDgDWFO3vh5wpA0PaPE3X2VHuP6i12+oiD99sq+CPfRLIrGcanjuosWXJT/Tu2ZNhw4YdjXCFqGXfh3iHyUB6jwFsXJ0DhF+fSmRgSEQ1mCBXVVVRWVlJZWUloVCo5r/33S7ahtzKAI4D6pjmbSknqMHZPWpPkvr22+84/qSTSHFJ/0/RfsTbzYQ06BJrxW5SWFsQTpDNRoWUjEx27N5DVVVVhKMUh6vMG8If0msNBlF1necW55PoMHFxv7o35lX5VWKMKv/7z9vcdNNNRytcIQ6S6DTjDakMHTwQz54dlLs9WI0KlTIwJKKkxKKd8wRUyrwqDnN4dUVD54uNZfRLttM5dv8mvPyCAnbsKWT0yKE1xwrRHrj2dm4xAH2SHKzeOzAEwGQ00at/tgwMacN2VPhxWmp/4/XVpnK2lvmZPDgFWx1DjjRdx6fqLPzqI3r37s2AAQOOVrhCHCTBbiKg6WR3iIeEDnz965KafV8yMCRyJEFu5/LdAQ7sYLU8r5o97iBnHdDaDeCH779nxPEn0SWx7glTQrRVZqOBWLsRv6rTN9nO9nI/VYHw5heTQaHnwCFSh9xGuQMqZd5QrQ/1FX6VN3IKGZji4OTOUXXer8Kv0iHawicf/Idzzz33KEUrRN2cFiPoCn2THJDeiwWLlwCgAO6AlFlEiiTI7Vho7+a8mAM3520sI9Zm5IQO+2vIdXTmfv8jo08+gRjpeyzaoWSHmeqgSr+9/ZDX7u1mYTcZ6NSrv9Qht1F7qmp35wF4I6eQ6oDG1cNS69yYp2o6mg5UFlBYWEjfvn2PUrRC1M1mCtch200KqT36s3XNSgCsRoUyryTIkSIJcjtW6gkSPGBzXkF1kEW5bsZ2j8VyQL3e5s2bCWBk7MgB0s5PtEsxNhM6Cj0SbJgUWLO3zMJqMpDRJYtlK1ai61Lr15YEVe2g7jybSr18uamcib3iapWQHajcr9I1zsZ3c+cwduxYGRIjWoUUlxlvUGNw7x4E/H527c6TgSERJq8M7diOCj+uA756nLOpHB0Y3712ecU3333PySccT6JTNueJ9slpMWBUwGxQ6J5gY/UB/ZDj4+OxumLYtm1bBCMUTVXkCaLr1CwAaOg8uzifWJuRvwxIqvM+QVXHZFBIjzLz5ZdfMn78+KMZshD1irWZCGo6/VIdkNaTuT8vxGhQCKo6vpDUIUeCJMjtVJU/PDlv3xSeoKbz1eYyRmS6SHHt73EcUlV+WLCE8884WVq7iXbLoCgk2k14Q+F+yBtLvPhVveZn/YeMYPHixRGOUjSWrutsL/MTbd3/FvbD9krWF/uYNCj5oIEh+5T7Q3SLt1JaXMSmTZs44YQTjlbIQjTIZTGiAP2Swgny4iVLgXAJZHVAVpEjQRLkdur3tXnzd1ZR7lM5O6v26vGKFTnEJyQyom/W0Q5RiKMq0WnGp+r0S3EQ0mBTSbjMwm4y0HPwCH799dcIRygaq9yn4gtpNdM+dXQ+WltKh2gLo7vF1HkfX0jDbjKQ4rTw9ddfM2rUKCwW+dZMtA5WkwGHxUiszUhit77kbl5HMBSUgSER9P/t3Xd8XOWV+P/PnT6jUe+WZMu25CpL7o1ejIUppjhAAoFANiQksCQhgU34QmCz2ZBks0k2sJsfKSyQDSQhYANuuAI2LriCu3FDtmX1NpKm3fv8/hhpLFnFkq3RSPZ5v177epHRnTvPPNbee/Tc85wjAfIFKKAbnGg4o3PegWoy3BamZLWvUrFi7YcUXzpd+r2LC16sPbRCMzbFCRBOs3BYNEaMLWD9hg2ShzxIHK/3tSvftqfCy2fVXuaPScLUycY8CD1VG5XswGzSWLJkCddff31/DVeIHkl1WWgKGBQNS0fFprJ79x4ckoccNRIVXYDOzM07Vuvj0/Jm5uUntrt5eL1etuz4hLtvmhOtoQrRb1xWM3azRozVTE6cjd3loRVkTdNIS89Ame0cPnw4yqMUZ9MU0KloDBLT5o/6t/dXE2M1cc2IzlePG/06CU4zyS4rtbW1bNu2jauuuqq/hixEjyQ4regKCtKdGBljWPvRJuxmjTqfLg1DokAC5AuMUopjtX5ibaf/ad89WIPVBNeNTGh37PvrP2LsyGEMH5LWz6MUIjrSYqw0BXQK0lzsqWjCIHTT0TSYesllkmYxCJS11HZvrbhT2Rxg3bF65oyMx9lJUxClFI0Bg7wkJ5qmsXLlSi655BJiYqTmuxhY3DYTSqlQOcoho9mydas0DIkiCZAvMPU+naaAjr3lRtEcNFh1qI7LhsWR4LC0O3bVhxu4/ZpLpLSbuGgkuawEDBif5qIxYHCs1geAw2xizKSZEiAPcEFDUVLXvrb7kgO16ApuGp3U6Xsa/DoZsVbiW65/kl4hBiqbOZSHnBZjJj57BLWVFVTX1KCBbNSLAgmQLzDH6304zKf/WdccqaMpaHDjGTePiupqPjuwn9vmXdvfQxQiatw2E2iK8amhPOTWNAunNdQwZP2GjRiGrNQMVGfWdg8YiiUHa5g2xE1WbMcNd4ZS+HUYkeAAoKmpifXr1zNnjqSViYEpyWnBH4SCdDfmzFFs27oVu1mjujkQ7aFddCIaINfW1rJgwQLGjBnD2LFj2bBhA9XV1cyZM4f8/HzmzJlDTU0NEHoM9s///M/k5eVRWFjYrvXryy+/TH5+Pvn5+bz88suRHPKg5g0alHkCoSCgxZKDtQxPsDM2xdHu2PfWrufyiWOIc8tjRnHxsJlNxNnMoXxUpyW8Uc+kaSQlpxCTlMr+/fujPErRGaUUx+p87TYff3isnlqvzvwxiZ2+p9ankxNvw9XynrVr11JUVERiYufHCxFtiQ4LPl0xIT0GX9oo1m36WDbqRUlEA+RHH32U4uJi9u3bx86dOxk7dizPPfcc11xzDQcPHuSaa67hueeeA2Dp0qUcPHiQgwcP8uKLL/LQQw8BUF1dzbPPPsumTZvYvHkzzz77bDioFu1VNgbQNC2cMnG01sdn1V7m5iW0a7mqlGLd+vV88abrojVUIaIm3W2jOagYn+Zs1zDEaoKimZdLmsUA1eAP1XZvW73i7f3VZMVamTyk4x/6rZuahsaf7qi3dOlSaQ4iBjSXteUpV5oTMsewc/t2TBrSMCQKIhYg19XV8cEHH/DVr34VAJvNRkJCAosWLeK+++4D4L777mPhwoUALFq0iHvvvRdN05g5cya1tbWUlpayfPly5syZQ1JSEomJicyZM4dly5ZFatiDlqEUx2p9xLVZXVl5uA6zBlfmxrU7dt+REupOHuXqyy/t72EKEXXxDjOGoRifGkNlU5CyxtCjyxibmeETprJOAuQB6US9H7v59B/6B6qa2Vfp5abRnZd2q2lpKd26H8Pv97Nq1Srmzp3bb2MWorecVhNmTSM3wY4zIQmz081nn30GSB5yf7Oc/ZBzc+TIEVJTU7n//vvZuXMnU6ZM4Te/+Q1lZWVkZmYCkJGRQVlZGQAnTpwgJycn/P7s7GxOnDjR5etnevHFF3nxxRcBqKiooKKi4rzGP9hWqWu9OmVVPpJdoQDZULD9yCkuS7ehvA3UeE8f+8FHG7jt2kuprq7us88fbPMVbTJfvdOX82UoRUN9M7nOIClaM58cPcXULDcA2UOHsaTkJGVlZZhMg3OLxoX4u+XXFftLvcQ7NGqaQ8Hwsk8rybJ4mZECNbXtv3NAV3h1hdXlo8IfOn7r1q1MnjwZi8XS7v5wIc5XJMl89dy5zpVq9lHpMZiapPg8r5BtW7cyMy6Ro6oRI8569hMMUgPtdytiAXIwGGTbtm389re/ZcaMGTz66KPhdIpWbdMBzteDDz7Igw8+CEBRURGpqannfc6+OEd/OXmqkcwUFzEtK8jbTjVyqNnKXVOHkJhwegW5OaizfvV7vPLcD/v8+w2m+RoIZL56py/na6RqpNYbpMlcxz6PhTkJoZxU5YhFt8ZQVlZGYWFhn31ef7vQfreO1/mIT7CT7Azdsmq9Qd47eYrivAwyUzpWr6hoCjAl1UVmm417a9asYfbs2Z3OzYU2X5Em89Vz5zJXI20+DlV7GTlE8aFzKBs3r+OWBXeASSM11R2BUQ4cA+l3K2JLJNnZ2WRnZzNjxgwAFixYwLZt20hPT6e0tBSA0tJS0tJCNXizsrIoKSkJv//48eNkZWV1+bo4rSmgU9kUDOUutVh1qI4Yq4np2bHtjt326T5igh4mTJjQ38MUYsBIcVnxGzAu1cnuiubw6zEWE2OnzmbdunVRHJ1oq7P0saWf1RA04OZOSrt5gwYuq5l09+mVNl3XWbZsmZR3E4OC22bGUFCQ5oLUkRw6dJiAt4l6aRjSryIWIGdkZJCTkxPeEb5q1SrGjRvHzTffHK5E8fLLLzN//nwAbr75Zl555RWUUmzcuJH4+HgyMzOZO3cu7733HjU1NdTU1PDee+9JDtkZyjx+zG0K5zcHDdaX1HP5sLh2OXtBQ7Fh/TruuHGu1D4WF7U4uxkNxfh0J0drfTS05PbZLSZGFRTx4YZNUR6haFXTHMSnG1hbrmVBQ7F4fy0TM1ztNuC1avDpjEpyYGpzjdu6dSspKSkMHz6838YtxLmKsZnQUOQnO7HYbSTm5LFz504U0jCkP0UsxQLgt7/9LXfffTd+v58RI0bw0ksvYRgGd9xxB3/84x8ZNmwYf/vb3wCYN28eS5YsIS8vD5fLxUsvvQRAUlISTz31FNOmTQPg6aefJimp84LwFyO9k8L56z9vwBtUXDOyfdvV6kYvm1cs4t//8X/9PUwhBhSn1YTdbGJMsguAPeVNzGh52jJ27Bhe/Pe9BAIBrNYLN99vsPi8zteuQ95HJQ1UNgf51oyMDsc2+nWSXBaSXO1vbUuXLqW4uDjiYxWiL9jMJuwWEyZgTIqTU5mj2bp1K2MmzaDRrxNrN5/1HOL8RTRAnjhxIlu2bOnw+qpVqzq8pmkaL7zwQqfneeCBB3jggQf6fHwXgurmAME2hfMBVh6uJcNtDTdDgFBpt+07djJmaAbZ2dnRGKoQA4amaaTGWGkKKCwa7KpoDgfIaYnxZIwcx44dO8J/mIvoaPTr1HiDpDhP/6Hy9v5q0mMsTM/qmIvZGDQYl+Zq94RMKcXSpUv54x//2C9jFqIvJDmtVDUFKEhzsTthJFs2/S8PfAOqvUEyOmmKI/re4NymLcKO1fqIsZ7+a7KyKcCOU01cMzy+Xe1jj99g6/vv8YVbbo7GMIUYcJKcFkyaIi/Zwe429ZCdFhNjJk3jw/Ubojg6AVDa4MfSJtg9VONlV3kzN41OwnxGmpg3aBBvN4dbSrfavXs3mqYxbty4fhmzEH0h0WnGZygK0lyouAx8QZ2K0pNUNwWjPbSLhgTIg5jHr1Pn03G22Zy3+kgdAFePOCO9ot7D9g9WcOONN/brGIUYqFofUxakuThQ1YxPD21+0TSNsePG8uHmrdEc3kUvoBscr/e365z3zv4abGaN60YmdDjeE9AZ1klO8pIlSyguLpZ9F2JQibGZ0YCxqaEnIql5BXyyfRt+aRjSbyRAHsRKG/xY26RWKBSrDtcxNsVBVptHMN6gwc4tG7hsxhTi4+M7O5UQFx2b2USs3cyoZAdBAw5Wna5mUTh+HDsOHsXr9XZzBhFJ1c1BDHU6fazep7P6SB1XD48n7owcTN1QWDSNJFfHnPFly5ZJ9zwx6LisJjQNXBaNkUkOAmmj2bJ1KxqyUa+/SIA8SHW2unKo2sexOj/XjEhod6zHr7Nx+UJuv+22fh6lEANbWoyNYQkOAD4tbwy/nhrnJmd0IVu2bovW0C56n9f5cLe5vi3/rBa/rpg/JrHDsXV+new4GxZT+1Xiw4cPU11dzZQpUyI+XiH6kknTiLeb8emKgjQnpe5cdu/eTTDop84biPbwLgoSIA9SlU1BULTbnLfqcB0WE1w+7HRjkKChqKmu4vCu7Vx99dXRGKoQA1aCw4zbaiI/ycGm457w62aTxthx41m9fmMUR3fxavTr1Pt0HC3VK3SlePdANRPSnAxv+YOmlVIKw4AMd8eNS63VKwZrV0RxcUtyWmkOGBSkxRCwOEnPGsrhA/uobpaW0/1BrhqDkFKKo7U+3LbT/3xBpVhztI4ZWe52jx/rfEH2rF/JTTfcgN3eMT9PiIuZ22YGTWNmdgz7Kr1Ue09vgCkoGM+6rTujOLqLV3mjv90f/5tOeChrDDJ/THKHY5sCBskuCy5bx9JXS5culeYgYtCKtZvRFRSkhSpSJY4Yxyfbt0jDkH4iAfIgVO/TaQro2NvUBt120kOtV+eaNptXWldWViz6O7dJeoUQHZhNGskuC5MyQyXDNh1vCP9s8vixHDxZTWNjY1dvFxFgKMXx+kC7znlv76smxWVhZk7H0m7NQYOcTjbnlZaWcvjwYWbPnh3R8QoRKTEtecgJDgvZcTZ8aWPYtmWrNAzpJxIgD0In6n04zO3/6VYdqSfWbmbakNM3EI/foP7UMXyNDUyfPr2/hynEoJDmspLmspLhtrCh5HSaRWyMk9y8UXy48eMoju7iU+vVCehGOJ/4WK2PHaeauHFUYruSbwB+3cBuNpHg6Lh6vGzZMq699lpp9iIGLbvFhN2sEWwp93bMnEp1TQ1VVVU0+iXNItIkQB5kfEGDU55Au/QKT0BnQ0k9VwyLbVfVwqcbbF7xLrfddpuUOBKiC7F2M2gwMzuW7aUemtuUUBo/fhxrN3ZsdiQip7TBh73NAsA7+6uxmqA4L6HDsQ1+g2EJ9nZtpVtJeoW4ECQ4LS15yC4agzC6oIi9n+xolw4mIkMC5EGmojGApmntAt51xxrw63Btm+oVvqCBRem884/XufPOO6MwUiEGB5fVhM1sYvoQNwEDtp48nVIxuWAcH316IIqju7j4dYOyxgAxLQsAnoDOyiN1XJEbT8IZDUAMpVAoUmM6rhBXV1ezc+dOrrjiin4ZtxCRkuSwtFSycAEQlzuOT3dso7ZZAuRIkwB5kCmp9xNrOyO94nAtWbFWRqec3t3t8Rsc2rae8ePGkZub28+jFGLwaG07PTzJQazNxMaS03nIhePHUlJWRWVNbfQGeBGpagqC0sIrwisP1eENKuaP7ljazePXyYixtduL0WrFihVcdtlluFyuiI9ZiEhy281oGqS7LaS4LDSm5LNz+zYafQFpGBJhEiAPIk3+0OY8W5vHj6c8AT4tb+bakadbS+uGQtNg8Rt/4e67747WcIUYNFJcFnSlmJ4Vy6YTDQRVaIe4zWolLy+PtRskD7k/HK8/XZ3HQPH2vmrGpDjIT3Z2ONanQ1Zcx9JuIOkV4sLhbP0DUIW6fh5sspOSksLhw0dko16ESYA8iFQ3BzmjDj5rjtYCcFVuQvi1Br+Oqi/jwN49FBcX998AhRik3DYzKJiVE0uD32BPeZuueuPGsGbzJ1Ec3cXBc0bt460nGjnpCTB/TFKHY71BA7fN1KGjHkBjYyMfffQR1157bcTHLESkmU0aceGGIS6qvUHGFE5i16c7qPdJmkUkSYA8iJxo8OO2nr4hKBQrD9UxIc1Jhvt0Hl5QKda+8w8WLFiAzdb5CosQ4jS7xYTbZqYgzYnVBBvapFlMnTiBrXsPSt3RCCv3+NtVqVi0v5pEh4VLh8Z1ONbj18lNsHe6+Xj16tVMmTKF+Pj4iI5XiP6S5DTjDRrhPOSYoWP5dPu2UEqSiBgJkAeJpoCOx9++9vH+Si8nGgJcM+L0jaDRr+M2Kxb+/XVJrxCiF9LdNpSCiRluNhxvQBEKiEePGkV5RRXHTlVEeYQXLt1QHG8IhCqKEEod23KykXn5Ce0q87Qea9I0kl2dl29bunQp8+bNi/iYhegvcXYLugFDE2zE2kzUxg3l8yOHOFlVJ3+4R5AEyINETXOwQymjlYdrsZnh0jatpZuDikPbPiI/P5+RI0f29zCFGLQSHGYMpZiV4+aUJ8CxWj8AFrOZMaPyWLVha5RHeOGq8+kEdRWufbziUC0A13Va2k0nJ94WPrYtn8/HmjVrmDt3biSHK0S/imlpmmNCY3yai71VAQonFLBr16ftylKKviUB8iBxssFPjPX0P1fAULx/rIGZ2bHhtIuArrCbNRb99c986UtfitZQhRiU3DYzmkljWlYMABuO14d/NrlgLOt27EUpWa2JhJP1PhyWUMBroFh5uJaJGS7SOynhFjAUGe7OU8fWr1/PqFGjSEtLi+h4hehPDosJq1lDb2kYctITYOyESezc+QkenzQMiRQJkAeB5oBBvc8Ib14B+PikhwafzrVt0ivq/TqWxkp2ffqpPGIUopfMJo1kpwWXxcyYFEe7rnqTJxaxa89eGmXXeJ/zBQ3KGwPhBYBPTzVR1hjsdPW40a+T5LSEV9TOtGTJErn2iQtSktNMc5s8ZMfQcXy6fRvVUg85YiRAHgRqvAHOfJi46lAtCQ4zk1taS7cWzV/x9t+5/fbbcTgcHU8khOhWqsuKV1fMzI7lQJWXyuYAACNGjqSurpb9x05GeYQXnqrmALRpfrTiUB0ui4nZ2bEdjm0KKIbG2zs9j67rLF++XMq7iQtSojPUMCQvyYHDonGCOGwmxc4Dh6M9tAuWBMiDwMl6f7vW0vU+nU0nPFyZGxfe9e3x66Q6TPzjr7I5T4hzFWc3o1DMagnONrasIps0jQlj8lizeWc0h3fBUUpRUucntmX1uClo8OHn9VyeG9fuiRm0pJBZNBKdls5OxaZNm8jIyGDo0KERH7cQ/c1tC/3eW0waY1Kc7C5vZtqUyXy8fac0DIkQCZAHOG/QaFcbFOCDY/UEDdpVr/DpigNbP2LYsGGMGjUqGkMVYtBzWk04zCYyY60McVvbddWbNGECW3ftpVnSLPqMx2/QGDhdnefDo/X4dNXl5ryhCfYOm5VbLVy4kFtuuSWCoxUielxWE4rQH5UFaS6O1PoYVzSJTz/5RBqGRIgEyANcbXMQzrghrDpcy7B4G3lJoTQKb9Agzm7mrb/+n6weC3EeWttONwcMZubEsqOskaaW1ZmJEyeyZ/duKc7fh8ob29c+XnG4lqxYK2NT2qeIKaUwlCKtk017AH6/n8WLFzN//vyIjleIaDGbNGJtpnDDEABL5ig+O7Cf49X1Z3m3OBcSIA9wJz1+YtqsHp9o8LO30ss1I063lvYEdKxNVWzfto0bb7wxWkMV4oKQ5LQQMGB2TixBA7acCKVZDBs2FH9TAzsPlUR5hBcG3VCcqPcT27Lh7kSDn13lzcwZmRC+trXy+A3S3dYOaRet1q5dy6hRo8jOzo74uIWIlmSnBW/QYEyKE4sGBxsUo3KzWblpJ0Gph9znJEAewHxBg7rmYLj8EcCqw3UAXDU8lF6hGwqLprF84RvccsstOJ3OqIxViAtFrN0MmmJMioM4uzncVU9Do3D8GD7atouALo80z1etN0jQCK2MAaw8VIcG7SrztPLqBllxnW/OA3jrrbe49dZbIzVUIQaEeIcFXSkcFhN5yQ52lTUydcoUduz8hJqWDcWi70iAPIDVeoPA6d3dCsXqI6H6oKktXaTq/DpDYiz87fXXuOeee6I4WiEuDDaziXi7haAB07PcfHzCE16dmTRxIrv27KFeao+etxP1fpxn1D6enBlDyhkd8nxBA5fVTLy989JuHo+H1atXc8MNN0R8zEJEk8tqhpanKwVpMRys8lI0eQqfbvuY4/X+6A7uAiQB8gBW2hDAaT29ery7vJlTnmB4hUUphWHAvm0fMWTIEMaOHRutoQpxQUmPsdIY0JmVE4snYLCrvAmAoqKJ7Nv1CRWNslpzPrxBg8qmAK6W6hU7TzVR0RRkzsiEDsd6/AbDEmzhhYIzLV++nBkzZpCcnBzJIQsRdQ6LhsUUahgyIc1JUIHXnU6wycPeIydoCsgf7n1JAuQByq8bVHsDONvk3C37rBaHReOSoaHW0o0BgxSXhTde+z/pnCdEH4p3WFBoTMmMwWaGDcdDaRZDhmSiBX3s+OxzDOmqd86qmgK0fTq24lAtMVYTM8+ofawbCjTCT8w689Zbb0n1CnFR0DSNRIcZb9BgfMtGvd0VzUyZOoVPdu6golE2EPclCZAHqNrmICjCNxCPX+eDY/VclRsfDpqbAwY2by2bN2+W3dtC9KEYmwmzBlaTxqRMNxtKGlAoNDQmFRXx6a7dePyyWnMulFJ8Xucnzh66jjUGDNZ93sCVuXHt9ltAqLRbdpwNq7nzW1VVVRUff/wxc+fOjfi4hRgIEp0WvLqB22ZmeIKdXWXNTJ06ld3bt3C8zid/uPchCZAHqFON7VePVx+px68r5uUnAKEVZqfVxJI3/8bNN9+My+WK0kiFuPCYNI1Ul4XmoMGsbDfljUEO1/gAKJpYxJ7du6XF6zlq8OuhP+5bgt4PjtXh11Wn6RV+Q5EZa+vyXO+88w7XXHMNMTExkRquEANKrN0MLTHw+DQneyubKJw4iT27PqGh2Sv7I/qQBMgDUEA3qGwMhvPzFIolB2vIS3KQnxyqUlHvNxgaZ+X111+T2sdCRECKy4ovqJjR8ti/tZpFYWERe3du5WS9L5rDG7TKPAHaVmtbcaiO7Dgbo8+ofdwU0Emwm3HbOt+cB1K9Qlx8XFYzCg2lFBPSYvAGFad8FoYPz+WzA/s4KZv1+owEyANQnVcHTYXTK/ZVejla6wuvHuuGQgP2bt1IUlISEyZMiN5ghbhAxdotKCDRYWFsioONx0P1kNPT0ohxOjh45HOaJM2iV4KG4mTD6drHxxv87Klo5rqR8R1qHzcFDYbGd13araSkhEOHDnHFFVdEdMxCDCQWk4bbZsKvKyZmxmACNh5vCKdZnPIE8EsZyj4hAfIAVObx42iTc7f4QA0Oi8aVLbWPG/w6WbE2/vra/0lpNyEixGk14bSa8OsGs3Ji+azaS3lL9YqiwkL27N7NKY+s1vRGnTeIbqg2tY9r0YCrz6h9bKhQvnei09LluRYuXMiNN96IzdZ1CoYQF6JkV6hhSLzdTGGGi/WfNzBt2jS2btmCBlQ3SfpXX5AAeYAJ6AblTafTK9puznO1PJcMGAqLt5b169fL7m0hIigtxkJTwGBWTqhyTOsqctHEIg58up2jdT6aA7Ja01Ml9f7w3gpdKVYermPKkBhSnO2rVDT6DdJjrF1uzoNQgCzpFeJilOCwEGzZjDcrO46Sej+2lBw8DQ14aispkfSvPiEB8gBT79NRSmFqSa9Ydbj95rymgE6Cw8zit97ghhtuwO12R3G0QlzYkpxWdANy4mxkx9nCeciTJk5i96efEPD6KKmTm1FPNAcMqhpP1z7ecaqRyqYg13WyOc+nG91uztu7dy91dXVMmzYtUsMVYsByWk2t+/SYPTQUA2w47mHKlCl8un0r9T6dRkn/Om8SIA8wZR4/dvPpzXlLP2u/Oa8xYDA0zsZf/vIXSa8QIsJCbadDpclmZsfyaVkjnoBOQkICEwoL2b7xQ0rqfJKL3ANVTQFMpra1j+tw20zhTZCtgobCajYR7+h6c97ChQu55ZZbMJnkFiYuPk6LCYsWahiS6rIyKtnBhpIGpkydwpYtW7BoGmWS/nXe5OoygAQNRXljkBhb6J/lzM15rSvLu7ZuIiYmhqKioiiOVogLn8WkkehoKfeWE0tQwZYTjQDMm3c9y5YtxWrWOForq8jdCdU+9hFrO5069lFJPVfmxmE3n1H72KeTHWcNP0Xr7FxSvUJczDQtlJ/vDYbSu2bnxLK/ykvu2CI++WQnDrPB8YZAqNGOOGcSIA8g9T4dQxG+MZy5Oa+ppXPe638Jbc7rqvWqEKLvpMZYaAoajElxkOAwh7vqTZ48hZqaWipKjlDq8UvjkG40+HWag6pN7eN6/DqdplfoSpEW03V6xZYtW3C5XIwbNy5SwxViwEtqaRgCoQAZYFediZzsHPbv3UtQV9R6ZbPe+ZAAeQAJpVd07JzXujnPG1RYfQ188MEH3HbbbdEcqhAXjQRHqJKCWdOYkR3Lx8c9BAyF2WSiuLiY5cuX4zCbOFrjjfJIB64yTwBrm7vNe4dqGRZvIz+5fe1jb9AgxmYmpge1j2WBQFzM2tYHHxpvJzvOxkcl9UydNpUtH3+Mw6JxskHSLM6HBMgDhG4oyttsYAlvzhuVED5GoXjvnbeYO3cucXFxURqpEBcXl9WE1WRCNxSzst00BQ0+KQulWcy97jrWvv8+FsNPWWOAep+s2JxJNxSlbWoff17nY1+llzkjEzrUPvYEDHLiu149DgQCvPPOO1K9R1z0XFYTbbtKXzI0lk9ONTG2cDJbtm4lxmqiojEQTsMQvScB8gBR79PD9UHbbc5LCm3O8wYNYm1m/ia1j4XoV5qmkeqy0hQwmJjhxm7WwtUsUlJSKBg/nvc/+ACnxcThallFPlOtN0jQ4HTt48N1mOhY+1gpBUqRfEbJt7bWrVtHbm4uw4YNi+SQhRjwrGYTLps53BRkdnYsBlDlzKSqqorKqkpAo6opENVxDmYSIA8Q5Y0BbOb2nfNuaLN63BgwKDu0B4vFwpQpU6I0SiEuTqkxFnyGgcOiMTkzho3HPaiWQkvXz5vHsqVLcdvMVDYFJe/vDCcb/DgtoWubrhSrDtcxNctNkqN9E5DQHgsrdkvXt6W33npLVo+FaJHSZqPeqBQHKS4LG040MnnSJLZu2UqszcTndf7QH5+i1yRAHgB0Q1Hm8RNjDT2CbN2cd0Xu6RUWpRQr332TO+64Q3LvhOhnbpuZ1sKjs3JiqWwK8lnLavHUqVOprKzk0OHDxFhNfFbdLDekFr6gQUWb1LHtpY1UNXde+7gpaJAV13V6RVNTEytWrODmm2+O1HCFGFQSHBYCLXuDNTRm58SyrdRD0aRQuTe7xURzwKBBNhCfEwmQB4AGv06wJb2idXPe1cNPb87z6wYmI8B7i9+R0kZCRIHdYsJtM+MLGkzPcqMBG0pCXfXMJhNzi+eydOlSYmxm6pp1qptlFRmgqjkA2unax+8dqiXWZmJ6VvsGR7qhsJg04h1dt5ZeuXIlEydOJDU1NaJjFmKwcFlN4SdZEKpm4dfBlDWGHTt2EAwGsZhCm2RF70mAPABUNAawmtp3zru+pfYxhNqufrZ9E4WFhWRmZkZplEJc3NLdNpoCBgkOC+PTnOE8ZIDrrpvL2rVr8Xq9xNrNfFbtxZBVZE7U+3G3rB43+HU2lDRw1fD4cDpZK49fZ0isDYup66djUvtYiPacVhNmkxa+1hSku4i1m/mk3kx6ejr79u0j1mbmZIOfoNRE7jUJkKPMUIpSTwC3zRzenJffZnMeQFApVi9eyBe+8IUojlSIi1uCwxy+Ec3MjuVIrY/PW9pMp6elMW7cWD748AMcFhMen3HRb45p9Os0+HQcLU/C3j9aT8CAOSPjOxwbUJAW0/XmvNraWj766COuv/76iI1XiMFG0zQSHKfzkC2axowsN5uPe5g8dSpbtmzBbAp13KtpvrivR+dCAuQoa/DpBHUDs0ljb2vnvDab83RD0dRQz9aN6+XmIEQUuW1m0EKrNdeOiMdu1vjb7qrwz6+//nqWLFkKQJzdxMGqi3sVubzRj6nNivCKQ7XkJtjJS2pf+9ivGzjMGnH2rmsfL168mCuuuILY2NgujxHiYpTsDHX6bHXJ0Fg8AYP44eP5+OOPgVBr6hP1EiD3lgTIUVbZFAg/VlzSyea8xoDOzg1rKZ57HS6XK1rDFOKiZzZppLgsNLekWVyfn8Dqw3WcasnvmzZtOhXl5Rw5eiS0OSZoXLS5f4ZSnKgPENdS+/hYrY/9VV6uGxnfofZxg18nJ97e7eZjSa8QonMJTgtt/wyflOHGYdE4YR9CWVkZ1TU1xNjMVDcHaQrIZr3ekAA5ipRSnGwIpVd0tjkPwK/DmnffZMGCBVEcqRACINVlpTkYuh0tGJeMyQR/310JgMVs5rq5oc16APF2M4eqvRdl7l+9TyegG+E//lccrsWswdXDO6ZXKKWR7Op6c97JkyfZu3cvV199dcTGK8RgFWM14TCbwvWQHRaNqZluNp1opqioiG1btwKgaYqqJtk83BsRDZBzc3OZMGECEydOZOrUqQA888wzZGVlMXHiRCZOnMiSJUvCx//0pz8lLy+P0aNHs3z58vDry5YtY/To0eTl5fHcc89Fcsj9xlCKkjo//mDoJtLZ5jxDKU6eKKHm1Almz54dvcEKIQBCaQBaKOBNcVm5bmQCyw/VUtmS31dcXMyaNaHNeraWm9api7Dda2mDH5u5tQqPYsWhOqZnucNtu1s1BwziHSZc1q7TK95++22Ki4ux2+0RHbMQg5GmaWTF2fEETqdZzB4aS7U3SNbYonCaRazNTEmdT0pQ9kLEV5DXrFnDjh072LJlS/i173znO+zYsYMdO3Ywb948APbs2cPrr7/O7t27WbZsGd/85jfRdR1d1/nWt77F0qVL2bNnD6+99hp79uyJ9LAjqsmvs6O0kYPVzSQ5LV1uzmsOGHz84Wpuv/UWzOaubyBCiP7hbFmtCeihm8wd41MwDPjH7mogtFlv9OjRrFu3DoB4u4XDNV4C+sXT7jWgG5zyBIixhW4v60rqqfPp3Dg6scOxjQGd7LjuA19JrxCie8kuC3qbJ1XTs9yYNfAk57Nt+3Z0w8BmNuENGtT5JM2ipwZMisWiRYu46667sNvtDB8+nLy8PDZv3szmzZvJy8tjxIgR2Gw27rrrLhYtWhTt4Z6TUEqFj40nGmgOGKS6rF1uzgNo9AdZu1jSK4QYKDRNIzXGGs7ly3BbuXp4PEsO1oQ76F1//fUsWRp6MmY1a+gKTjZcPLnINc1BFApTS07xu/tryIq1Mikzpt1xoQ2MGonOrtMrDh48SHl5ObNmzYrkkIUY1GKsJpyW02kWbpuZoowYdtRZSU5O5sCB/QDYzSZO1l98T7TOVddXpj6gaRrXXXcdmqbx9a9/nQcffBCA559/nldeeYWpU6fyy1/+ksTERE6cOMHMmTPD783OzubEiRMA5OTktHt906ZNHT7rxRdf5MUXXwSgoqKCioqK8xp7TU3Neb3/TN6gwaHaAFXNOgkOE0GTRk1z6GerdleSZfEyKUFRU3v6c3fsOsConCEkJSWd9/eJtL6erwudzFfvDKT5Ul6dyhofhjP0VOfGYRZ2HG3i7R2fc9OYREaPGoXX62XP3r1kZmagDMWOujosGY4O9X8jIdpztavCh98wqPGZOFHvp7yymlvHJVFXW9vuOI/fIN5uoq666xv222+/zYIFC6iuro7YeKM9X4ONzFfP9edcOYIBSqoDJDhC16XZqfD6qXomT5rK1q3byMjIwFCKAzUGCYYTaz9ci3proP1uRTRAXrduHVlZWZSXlzNnzhzGjBnDQw89xFNPPYWmaTz11FM89thj/OlPfzrvz3rwwQfDAXhRUVGfdFvqi3MopTjlCXCoqhmLy0F+Yvsp9/h1Vpws49oRGWSkJIVf9wYNtm9cx9xrrx40naMGyzgHCpmv3hko8xWvGxwP1pPgsKBpGokJMCbHz8Kjjdw2OY5Em5np02fwwfvv841vfAMAU3MQn81GVpsUqkiK1lw1BwxoaGBIy6a7V/eXUm9yMmdcTocybnpTgHGZbpK6WEFWSvHmm2/y3//93xH/PgPld2uwkPnquf6aK2e8Ts3xBhJdoXrisx2xPP9JI96UPD5+/03uuftuAFRTALPbRaq767bu0TSQfrcimmKRlZUFQFpaGrfeeiubN28mPT0ds9mMyWTia1/7Gps3bw4fW1JSEn7v8ePHycrK6vL1wcAbNNhV1sSeiiZirWbi7B1vBK2b8+blt8/Pq/Y0sXn1Mm655ZZ+Gq0QoidsZhNxNjM+/XTO310FKTQFDd45EFrpLJ47l1WrV+P1hRqJxNvNHK3zhQv6X6iqmgK0VmtrDBisPlLHFbnxHYLjoKGwmE3h1a7O7Ny5E03TKCwsjOSQhbggnJlmkeSwMDbFwWeWTEqOl1BbVweE0i9aGxyJ7kUsQG5sbKShoSH83++99x4FBQWUlpaGj3nrrbcoKCgA4Oabb+b111/H5/Nx5MgRDh48yPTp05k2bRoHDx7kyJEj+P1+Xn/9dW6++eZIDbtPKKUo9/jZdLyBGm+QVJe108cZbTfnnVk8f/PHW5g+YQwpKSn9NWwhRA9luG00tqkpmpfkYHqWmzf31tAcNMjIyGBUfj7r168HQjWUzZrG57UX7o1JKcXndT5iWzbnrTpchzeouGlUx815Hr9Odqw1nKfcmbfeeotbbrml2/rIQogQTdMYEmej0d+2aUgcR+t1Ro0tYNu2ULk3h8VEvS/U5VJ0L2IBcllZGZdeeilFRUVMnz6dG264geLiYh5//HEmTJhAYWEha9as4Ve/+hUA48eP54477mDcuHEUFxfzwgsvYDabsVgsPP/888ydO5exY8dyxx13MH78+EgN+7z5gga7K5r4pKyJGKupQ1mjtrranOfXDT5au5o7b78lsoMVQpyTeIcFdUbDi7smpNDg01lyMJRHd/28eSxtU8Yy3h4qs1R9gbag9vgNvEGFzWxCoXj3QDWjkh2MSu6YVhJUirRuHvHqus6iRYvkCZoQvZDstNLmwRazh4Y6T7pzC9i6ZWv4dZtJ43j9hfvHel+JWA7yiBEj2LlzZ4fXX3311S7f8+STT/Lkk092eH3evHnhcnADWVVTgN3lTSggLcZ61uNbO+ddmdu+eH7JqUqOfPoxc57/twiNVAhxPmJsJsxaqBW8uaUZxrgUJ0XpLv6xu5obRyUxc8YMXnjhBT4vKWFoTg4mLdRO+dPyJqYNceOyXVilG8sb/bT2OPq0rJnP6/x8Z2Zmh+N8QYMYq5kYa9frM+vXrycjI4O8vLxIDVeIC47bZsJh0QjoCqtZY4jbRm6CnXLvSMpXvomhQtVlYu1mTjX4GZ7owGEZMMXMBhyZmT60v7IZh8VEYjerxq2O1vr44FgdVw+Px3nGL+iH6z9i7hWX4HT2z4YeIUTvmDSNVJeFpkD7nOIvTkih2htkxaFaLBYL182ZE+6sB2C3mLCaND4tb7qgaiPrhuJEvZ/YlqD/nQPVuG0mrsiN63Bsg98gO87WberEm2++yW233Rax8QpxIdI0jcxYKx7/6fSJ2TmxHPC6cMW4OXToMyB0/UKD0gZZRe6OBMh9rLW1aneqvUGeWv05bquFL01on2McNAzWvb+GL942P1JDFEL0gcxYO74zgtyiDBdjUhz8bXclQUNRfH0xq1atxOc/XcrMbTPTHDDYV9ncUgt48Kv1BgnooVzrquYAH33ewHUjEjqsToW6eCmSXV0/YWtubmb58uXMny/XQCF6K8Vl6zTNIm1UYbirHkCC3cLndf4L6g/1viYBcj/zBg2eXVNCvU/n2auySTnjRrFr/yGCdeXMmDE9SiMUQvREgsNMjM3crjKFhsZdBSmUNwZZc6SOzIxMRo7MY/36de3em+S0UN4Y4GiNt7+HHRGlDX6c1tDiwPLPatEVzOukc15TwCDZZe32se6qVauYMGEC6enpERuvEBeqtmkWACMT7aTHWGhKGdWuo7HZpKEbiooLdE9EX5AAuR8ZKP5j/Un2V3l54rIs8jvZvLJ23Tpuue5KTCb5pxFiINM0jeEJdhr87XeDz8h2MzzBzuu7KtGVYt6861m6dFmH9yc7LRyu8VHROLg7W/mCBuVNAWKsJoJKseRgLZMzY8iO7bgJrzlokNXJ621JeoUQ5+7MNAsNjdk5cRy2DeHwkaM0eBrCx8bZzRyt8V0wT7L6mkRh/eil7RWsK2ngwSlpzM6O7fBzfzDIR+vWc5ekVwgxKCS7rNjNpvBqDYRuSF+ckMKJhgDrjjUwc+ZMSkpKKDle0u69Jk0j0WFhV1nToC65VNMcBDQ0TWPTcQ+VTUFu6KS0m26ENggldNNaura2lvXr1w+KTdlCDFRnpllcMjSWoGZlyIjRbN++Pfy6zWzCGzRa/n9YnEkC5H6y9LMa/r67ihvyE7h1bFKnx2zcup0hiTGMyhvZz6MTQpwLs0kjN8FO3RmryJcMjSU7zsbruyqxWCxce+21LOtkFdlq1nBaTXxyqhHfIG0iUlLvw91SkeLd/TWkuCzMyHZ3OK4xoJMZa+t2n8bixYu5/PLLiYvruLlPCNEzbpsJu/l0msXYVCcJDjPakDHt0iwAXFYTR2svjFSvviYBcj/YfqqR5zedYkpmDA9Nz0Cj8xvE6vc/5Pa5V/bv4IQQ5yXdbcVEaIW0lVnTuKsgmSO1PjYd91BcXMzKlSvxBzrm+7msZnQUeyqa2p1jMGj06zT4dRwWE8fr/Ww/1ci8/AQsnVSo8OuKDHf35S/feustSa8Q4jyFmoacTrMwaxozs2M5HjOcLVu2oDh9nXFZzdR6dep9sop8JgmQI+xYrY9/e/84OfF2fnh5dqc3DoAGj4edn3zC7Tde388jFEKcD6vZxNB4W4dV5Ctz40mPsfD6rkqysoYwfPjwDpv1WiXYLdQ263xW3dwfQ+4zlU3BcDe8xQdqMGtQnN8xvcIXNHBYTB1aTrd18uRJ9uzZw1VXXRWx8QpxsUhx2Qi2TbPIicUXk4oyWzly5Gi7Y+1mjRJpP92BBMgRVOsN8qO1n2M1azx7ZU63hfHXrPuIotF5ZKQm9+MIhRB9ITPWjmGodptdLCaNL4xPYV+llx2nmliwYAF/fvXPBIOdr9QkOc2U1Pk5PkhuVIZSHK/zEWsNVfJYcbiWS4bGktRJHfh6v87IJEe3tY8XLVrE9ddfj8PhiOSwhbgouG0mHG3SLIoyYnBaNNzDxrcr9wYQazNzqiFAU2Dw7oWIBAmQI8SnK55ZW0J1s84zV+aQfpZHi6s/WM/t113ZP4MTQvQpp9VEhtvWYbPdnJEJJDksvPZpJVOmTiE9I53FbdpPt6VpGslOC/urmqn1DvzHnfU+HZ9uYDVrvH+0Ho/f4KZRHfdXBHSF3WzqUNLyTFK9Qoi+01rNorEl6LWZNaZnx1KdMo5Vq1a1S7PQNA2zWeNUw+CuqNPXJECOAAPFLz86wb5KL49fksWYlO474pWVl1Ny/Dg3XHN5P41QCNHXhibY8Z+RQ2w3aywYn8QnZU3sqfDyta99jdf+8hc8Hk+n5zCbNOJsZj451TjgV3NKG/zYzKEV4XcP1DAs3kZBesdrXZ1fJzfBHm7J3ZkDBw5QVVXFzJkzIzZeIS42KTHWdmkWs7NjaUwagTegs3PnJ+2OjbeZpXHIGSRAjoBXdlTywbEGHpiUyqVDO5ZzO9OKVau5dMZUEtzSWlqIwcptM5PsstJ4Ri7yvPxE4uxmXv+0kuG5w5k5axavvfZal+exW0yYNY1dZQO3HXXQUJR5ArhtZvZXNnOw2ssNo5I6bEDWDYVZ46xP0N566y3mz5+P2dx1jrIQondibWbsptNpFtOy3VjNGhmTr+Kdt99ud6zZpGEA5Y3SOKSVBMh9bMWhWl7fVUlxXgJfGH/2fGKFYuUH61kg6RVCDHrD4u00nVGuzWExcevYRD4+6eFgdTP33nsv761YQemp0i7PE2s30xQw2F/V3NKeeeBQSlHm8WMQqmv8zoEaHBaNa0bEdzi2zqeTm+DAau76VqOUkuoVQkTAmWkWLouJSZluPk8pZOfOnZSVl7c7Ps5mksYhbUiA3Id2lYXKuU3McPFwN+Xc2tq//wBKM3HZtImRH6AQIqISHGbcZ7SfBrhpdBIxVhP/u72CxMQEbrvtVv70p5e6PVeS00JZQ4AjA6gddaNf55OyJvZVNhNnM1Pv0/ngWB3XDI/vsAlZN0JZjmcr7bZ161ZsNhsFBQURHLkQF6cz0yxuHZtEbdDC8MmXsGTx4nbHhhqHKKqk/TQgAXKf+azayy8+OklmrJX/d3l2t8Xw23pv5SquuPQSYrspfySEGBw0TWNEYsf2026rmXuL0tha2sgbu6u59ZZb2bt3L7t27+72fMmuUDvqaFe28OsGh6qb2Xjcg8enk+qyYjObWHG4Fr8ON4zuWNqt3q+TE2fDbun+NtO6Oa+7ChdCiHPTmmYRbNkfMTHDRUGak8/Tp7F02TJ8/vYb89w2E0drfQPuyVU0SIDcR55e/TkmTeOZq4bitvUs2A0EA3ywcTO3X3el3ByEuEAkOa04zCb8Z+QP3zwmgUuHxvLS9nI+qzf4yle+wu9ffLHbx5mmlsoW+yqbOeXp/x3mhlKUNvjZWNJASZ2fZKc5/Me8gWLx/hrGpToZkdC+NJtSiqCuGBJn6/b8gUCAd955h1tuuSVSX0GIi5qmaWTEnm4aoqHx5cJU6uzJxGUO44MP3m93vNNqot5nUO8b2JuE+4MEyH3kt/OG89QVOWd9nNjWxx9/TFb2MApG5kRwZEKI/mQ2aeQm2qn3tw+QNTS+PSuTDLeVn354gsmzLkc3DN5/f+1Zz5fktLCrrImqftxAU+sNsuWEhz0VTcRYzSQ5LeGmIADbShs56QlwY2erx75QW2mXtfvFgg8//JDc3Fxyc3P7evhCiBapZ6RZFGXEUJjuonbYLBYuXNSu5BuAQxqHABIg95lkl5URifZevWf5eyu47NJLuu0uJYQYfNJiOrafhlCqxZNXZNPgD/Lzj07yT1/7Gi+99BJeX/c3I4tJI8FhZmdZY8RrJDcHDPaUN7HlhAdDKVJdVqzmjk+43t1fQ7zdzKU5ce1eV0rhNxRDE85+PXzzzTe59dZb+2zsQoiOYm1mbG3SLAC+XJiKJ2UU5TX17Nu3r93xbpuJssYgTf6LexVZAuQo2b5jOwePn+LWOZd3Wx9UCDH4tLafrvV1DGZHJjr45rQMdpxqYheZ5OXlsXDhwrOe02Y24baZ2V7a2KEhSV8IGopjtT42HK+nsilAqsvS5QpwWWOATcc9FOcnhGsht2oMGKS6rGdNNWtqamLlypXcfPPNffYdhBAdtVaz8LQJeCeku5iY6SaQN5u33lrU4XiLBicv8sYhEiBHQZPXy6/+v5f47te+woTsjp2nhBCDX2asHRSd5hjPzUvg2uHx/PmTSmbc9EX+8Y9/UFtbe9ZzOiwmXBYT20s9fba6o5SistHPppIGDlV7SbRbSHBYut0XsexgLQqYl9cxvaI5qBjWg9Xj5cuXM2XKFFJSUs5n+EKIHkiNsRI444nWPUWpeIdOY+PmzVTX1LT7WZzdTEm9v8NeiouJBMj9TDcUf3rtTcYPSeT+m67qcbULIcTg4rSayIzr2H4aQvnID8/IYFi8jT8dVFxy+ZW8+uqrPT6v1aSx41Rjh3JyvVXvC7K9tJGdp5qwmTVSXJazPtEKGIqln9UwPcvdoQFIU0AnwWEi3mE562dL7WMh+k+szYzNbGqXZlGQ6mJybipq6ETefrd9yTezSUMpKPdcvCXfJEDuR37dYMeBw6x761V+9aPHpXKFEBe47LiO7adbOSwmnrw8G59ucDTnCtatW8fRY8d6dN4YmxlDKT451XhOKzytecabT3jwBQ1SY6xnLcfW6v8+qaDWq3PTqI6rx00Bg+GJZ+8IWlVVxaZNm5g7d26vxy6E6D1N0xhyRpoFwJeLUgnkXcKid94lEGwfDMfbzRyt9XXYS3GxkAC5nzQFdOq8QV771b/y5KNfJy0tLdpDEkJEWGv76TNvSq2Gxtt5dGYm+xpMDLv0Bv7whz/0+NxxdgveoMGusqZ2q0LdCegGR2qaT+cZOy3E9LAsJcDCfdW8vquK4rwEpmbFtPuZN2gQYzOT6Dj7+d59912uvvpq3G53jz9bCHF+OkuzGJviZOr4fPyuFNZ8sK7dz6xmDb9uXLSNQyRA7gf1viC6AfvXLMRtNvjiF78Y7SEJIfpJboKd5m5SIa7KjefG/AQ+iZvIoWMlbNm6tcfnTnBYqPfp7Clv6naVJ1zP+LiHo7X+HuUZn2nVkTp+t6WMS3LcPDKjY6fQBr/O8AR7j84p1SuE6H+dpVkA3FOYip5/Ka/+7a0O73HbzBy5SBuHSIAcYdXNQewWE5laPS/86j/42c9+hskk0y7ExSLebia2k/bTbT04NYO81FiaC+bxuxdfRDd6njaR5LRQ2RRkf2VzpxsCq5uDfNxSz9hpCTUe6W3lnE3HG/jl+pNMzHDx+KXZmM8Igv26gcNsItl19jrwJSUlHDp0iCuvvLJXYxBCnJ+u0izGpDiZOmMGFRXlfLrvQLufOSwmPH6duouwcYhEahGilKKiKUCyy0JRegzPPvUkX/3qV8nPz4/20IQQ/UjTNIZ30n66LZtZ4/9dno15aCGVQStLly3r1WekuCyUevx8VuUNr/Q0+nV2nmpk20kPKMLtoXtrV0UTP/nwBCOSHDx9ZQ72Tmoi1/t0hifZexR4L1y4kBtvvBGbrfsue0KIvpfisnaaknXfpAzIm83v/u+NDj9zWUwcrGomcJFVtJAAOQJ0Q1HRFGRYvJ3xaS7eW7aEY8eO8fDDD0d7aEKIKEh2dd5+uq0Mt5XvXZqFd8JN/P6lV2hqbu7VZ6Q4LXxe5+NYfZADlc1sPO7B49NJi7HitJ7bpf5wrZdnVpeQ6rLwb1fn4OpkI1/QUFhMGmkxZw94lVKSXiFEFMXaQ2kWZ16L8pOdTL1iDoc++ZiTle1LvsXYzDQGDD4ta7qogmQJkPtYQFdUeYOMSXGSl+ykob6ep59+mp///OeyYiLERcqktbSf9nV/c5mVHcvtl03ElzKS//h9z8q+tdK0UJm2koYAJz1+kp1mYs+jS2epJ8CTK0twWEz8+zXDSOiidFudTyc30dGjkpV79+7F4/Ewbdq0cx6XEOLcmTSNkUkO6rwdr0VfmTUcsgr4r78s7PCzpJb9DrvLe74peLCTALmPNQZ0Jqa7yI4PFcr/93//d6677jqmT58e5ZEJIaIpLSbUstl3ltrF909KI/+a2/lo1TJ2HD7eq88waRrJTjNJDgum8ygjWe0N8sOVxwgaBj+5ZmiHesetdEOhaaHV755oXT2WfRhCRE+G20q800TjGWlfeYkOCi+/jh3vr6C2uWPliiSnhRqvzq6yxosiSJarVB9Kj7EyLSuWlJZHjZs2bWLlypX88Ic/jPLIhBDRZjWbKEhzUe/Tu604YTFp/GjeBGxjLuXHv3mRpvNsBtJbnoDOkys/p7o5yL9ePbTbrnh1fp2cOFuPcpsNw2DhwoWSXiFElGmaxqhkJ00Bo0N1im8UTwNnLM+/tarT9ya3BMlnq5xzIZAAuQ+NTHaGH2n6fD6+//3v8+Mf/5i4uLgoj0wIMRAkOi2MTnFS1RzstmxSisvKv3z9yzSW7OeffruQ/ZW9y0c+V96g4pk1JZTU+XjqimzGpnTd9MNQCmUohsSeva00wObNm4mPj2fs2LF9NVwhxDmKs1vIibdT7Q22e31EgoPRs+ewfsWSLitXJDstVDYH2VNxYQfJEiBHyPPPP8/IkSO5/vrroz0UIcQAkhVnIyfeRpW3+7JJs0ek8vDjP6Tm/b/w7VfX8JdPKwhGsBZpUCmeW3ecXeXNfO+SLKYO6b6JR71PJzPO1uMNgLI5T4iBJTfRjlnTCOjtryuP3FGMqj3FS2s/6fK9KU4LlY1B9nVRXvJCIAFyBBw8eJA//elP/OQnP5F20kKIdjRNIy/JSYLdTN0ZqzdnunFmET944vtY1v0vr3y4h+8vP0qpp++7WikUv95QysbjHr41LYMrc7t/6qWUImAocuJ6tnrs9/tZvHgxt9xySx+MVgjRF2xmE/nJTmrPuA7lpbgZNvVKVixZ3OFnbSW7LJzy+NlXcWEGyRIg9zHDMHj88cd57LHHGDJkSLSHI4QYgMwmjXFpLjRNoznQfY7x5bNm8K2vPUD8R3/k6KlKvvnuIVYcqkXRNzckheL3W8tZebiOewpTuGl04lnf4/EbpMdYe9ymevHixYwaNYrs7OzzHa4Qog+lu63EOcwdNux96+5b0Y9s47Vt3W8UTnGGarB31ahoMJMAuY/95S9/IRgMct9990V7KEKIAcxhMVGY4cLj1zs84jxTcXExNxbPIf3jlxnu1vjlhlJ+8sGJ8+5uVeMN8tL2Ct7cW81NoxO5uzDlrO9pCujoSjE80dGjz1i0aBFPP/00TzzxxHmNVQjR90yaxuiUjhv2CnMzScsvYPGy97pdRdY0jRSnhRMNfg5WNV9QLaklQO5DZWVlPPfcc/z85z/HbD73+qNCiItDnN3C+HQX1d7gWVdf7rnnHkbnjcS18c98pSiJjSUNfPPdw2wt9fTqM0s9Ad7YU8Vjy4/yxTcO8rfdVVyVG8dD09LR6D4lrCmg49cVk4e4z7p6rJTi+eef58c//jGvv/46M2fO7NU4hRD9I85uITveRs0Zf3Dff+etBPet46+7Krp9v6ZppDotHK/z81m194IJkiVA7kNPP/0099xzj+zSFkL0WIbbxohEO1XN3ecja2g88sgjoEHpyr/wq+JcXFYTT64q4XdbTuHrYhVaoThU4+XVnRU89O5h7l/4GX/YVk5TwODuCSm8cMNwHr90CKZeBMfuswTHwWCQf/mXf2HhwoW88847jB8/vvtJEEJEVW6CAxO0e5p15fSJuJ0O3lm7sUO1izO1Nio6Vuvj0AUSJHfeGkn02nvvvceuXbv49a9/He2hCCEGmeGJDhr9BjXeIIlddKwDsFgsPPnkD/n+9x9n07I3+e2dX+SP28tZuK+G7aWNPHFZFomArhR7K5pZ/3kDG47Xc8oTurmNT3XytSlpzM6JI7OHzT0AGv06AUMxpQcrxx6Ph2984xsYhsFbb71FbGxsjz9HCBEddouJvGQHeyuaSXWFrg0aGgtum8//vr2K/9o4laevzO72D2lN00h1WTha60PTYESiY1AXKpAAuY8UFhbyu9/9Dqez67qhQgjRGZOmMSbVyZYTHhr9erdBqNPh5Mc//le+8+3vkJKSwrfmzmX6EDe/3HCSf15yhCszTGyprqDWq2MxwaQMN3cWuJmVHdtlu+juNPp1gooeBcenTp3iy1/+MkVFRfz0pz/Fau15EC6EiK4Mt40T9f5216Bbiq/l9Vf+l427DvJygp37J6Z1e47WleQjNT5gcAfJEiD3kYyMDDIyMqI9DCHEIGUzmyjKiGHzCQ9W3ei2O11iQiI//rcf8/3vP05ychLTpk7jdzeO4LebSjlYXkVhRgqzc+KYluUmpod1ijvTGhxPzow5a3C8d+9e7r33Xu69914efvjhQXtTFOJi1bphb/MJDy6rCU3TcNjt/NMDX+Hlv73OX90PMzTezjXD4896nhSXhaM1PnQD8pIdmAbh9UBykIUQYoCIsZmZkOak1tt9O2qAnOwcnn76aX7xi19w8LODJDgsPHVFDs/NGcYPL8vmyty48w6O9R4Gxx988AF33HEHP/zhD3nkkUckOBZikIqzW8iOa79h74Yb5lE0KpfkvYv59YaT7O1BZ8/WIPnzet+gLQEnAbIQQgwgKTE28pOdVJ9l0x7AuLFjefTRb/PMj57h1KlTfTaG3gTHr7/+Og8//DC///3vpVOeEBeA4QkONE5v2NPQ+Pa3H8Vctp+YU7t4dm0JZY1nb1jUWt3iZIN/ULallgBZCCEGmKHxNjJibT0Kki+ZPZs777qTJ598krr6+vP+7LbBsaub4Fgpxc9//nN+/etf849//EPKuAlxgbBbTOQnO6j1nb7+uGNi+H9PPklw09/x1lTw7NoSvMHumxxB68Y9K+WNQXaXNxEcREGyBMhCCDHAaC25gC6rqdsi/a1uvulmZl9yCT/60Y/w+8+9FbXHr2P0IDj2+/08+uijvP/++7z77rvk5+ef82cKIQaeDLeNWJuZpsDpVItR+fnc88Uvkbz1Lxyu8vDz9ScwetjRM8Vpoao5yKdljQT0swfWA4EEyEIIMQBZTBoT0mOId1gobwycdbXm/vvvJzMzk//6zW9YvGQJVdXVvfo8j19HKZg0pOvguKmpiRUrVnDXXXfh8Xj4+9//TkrK2bvvCSEGl9YNe54zOuzNv2U+OZlpFJxYw0clHl7ZUdnjcyY7LdT5dHaWNeIfBEGyVLEQQogBymk1UZjuosarc6CymcqmAPF2C1Zzx01wJk3jse9+l/c/+ICPN2/mpT/9ieycHGbPnsXsWbPJzs7u8nM8/tAq0aQhMbis7YPj48ePs2rVKlatWsXGjRspLCzkxhtv5L777pOOoUJcwOIdoQ17ZZ5AuD67hsZ3v/tdHn74W0zKzOf1XaGUsKvPUtmiVZLDQq03yI7SRgozYnBYBu46rQTIQggxgGmaRpLTwvRsN6c8fj6r8qL7IcFuxmxqHyhbLBYmT57ENVdfTSAYYOfOT9jw0Uc8/sTjuN1uZs+azazZsxk1Kh8UNAUMmoMKp9VEUYYLl9WMruts27aNlStXsmrVKk6dOsXVV1/N7bffzm9/+1vi43t2IxRCDH7DExyUeQIEDYWl5XoTFxvLD37wA5595lnGLHicX204yZBYG2NSetYHIsFhod4XZHtpIxMzYnCeR7WdSIroqHJzc5kwYQITJ05k6tSpAFRXVzNnzhzy8/OZM2cONTU1QGjDxz//8z+Tl5dHYWEh27ZtC5/n5ZdfJj8/n/z8fF5++eVIDlkIIQYkk6YxJNbOrJxYhsXbqPUGqfMGu2zparVYmTplCo888gh//vP/8d3vfBfdMHjuF//Jl776EL/8nz9wYPdOxqfYGOXWWbHkXR555BGKior4wQ9+AMBPf/pTdu7cyX/9138xf/58CY6FuMi0btirOWMvxNgxY7l9we3oH75Cst3EM2tLKO9BZYtWcXYLhqHYdtJDk18/+xuiIOJh+5o1a9ixYwdbtmwB4LnnnuOaa67h4MGDXHPNNTz33HMALF26lIMHD3Lw4EFefPFFHnroISAUUD/77LNs2rSJzZs38+yzz4aDaiGEuNhYzSZGJDmZkRNLkstCRVOQxrPcYIKGInXYSObfdS//3+/+mz/89Ekmp1j42/PPccX0ScycPo033niDqVOnsmzZMlauXMkPfvADpk2bJmkUQlzkMty2UP7wGUHy7bcvID4ulqLy9/EFDZ7pYWWLVrF2MyYNtpY2htO8BpJ+T7FYtGgRa9euBeC+++7jyiuv5Gc/+xmLFi3i3nvvRdM0Zs6cSW1tLaWlpaxdu5Y5c+aQlJQEwJw5c1i2bBlf/OIX+3voQggxYLisZsanxZAdF+RgdTMVTQHi2myu0w1Fg18naIDDopGX5CTZZQnlGGeNYVbhGL79zw9TUVFBTEwMLpcrit9GCDFQmTSNMakuNh9vwN+my6dJ0/je977Hw9/6FgvuGcufK1P4xfoTPHlFNiZ61iwopqVSxtaTHnKsBqmR/CK9FNEAWdM0rrvuOjRN4+tf/zoPPvggZWVlZGZmAqH2zGVlZQCcOHGCnJyc8Huzs7M5ceJEl6+f6cUXX+TFF18EoKKigoqKivMau6xS947MV+/IfPWOzFf3hloU1WadQ9UBquoaqG7WsZg0MmIspDjNxFg1NL+PRj80dvL+xsZGGhs7+8mFT363ekfmq+cutLlKNwXZVeYnyWlq1zr60W8/yksvvcTdd36DZSUV/GVTkBtGJ/Tq3N6gwZb6BmJtAycfOaIB8rp168jKyqK8vJw5c+YwZsyYdj/XNK3PWpI++OCDPPjggwAUFRWRmnr+f4f0xTkuJjJfvSPz1TsyX91LA/IMxf7PTzEkPZV4h7ndTUx0TX63ekfmq+cupLlKBSzuZj6v9ZPoOh0+Tps6jYMHD7L93T8zaf4j/Pmgh6x0E1fl9nzPgqEUfn1gzVdEQ/WsrCwA0tLSuPXWW9m8eTPp6emUlpYCUFpaSlpaWvjYkpKS8HuPHz9OVlZWl68LIYRoz2LSSIuxkOi0SHAshOhzuQkOYh0mGnztc4bvvPMuzCYTyYfWUJDm5JfrT/LH7eU09SIneaCJWIDc2NhIQ0ND+L/fe+89CgoKuPnmm8OVKF5++WXmz58PwM0338wrr7yCUoqNGzcSHx9PZmYmc+fO5b333qOmpoaamhree+895s6dG6lhCyGEEEKITphNGuNSXPgNRUBXbV438fgTT7Bi+XJuTazmyuHx/H13FQ8s/Izln9X2uOPeQBKxFIuysjJuvfVWAILBIF/60pcoLi5m2rRp3HHHHfzxj39k2LBh/O1vfwNg3rx5LFmyhLy8PFwuFy+99BIASUlJPPXUU0ybNg2Ap59+OrxhTwghhBBC9B+Xzcz4VCeflDWR6rKEU2WTEhN57HuP8cv/+CXPv/A8N41K5H+2nOJXG0t550AN35iWTkHq4NkMrKmuimgOYkVFRSxbtuy8zlFRUTGgcmEGOpmv3pH56h2Zr56Tueodma/ekfnquQt9rvZXNnGyIUCys/1a68uvvMLu3bv413/9MXa7jTVH6/nT1nIqm4NckRvHA5PSSI+xtnuPoRQl5dXcVDS0P78CADfddFO4FHFbA2e7oBBCCCGEGBRGJjlxWkwd6rDffffdJCUm8cwzz+Dz+rg6N54/zB/JlyaksKGknq+9fYhXd1b0qmZyNEiALIQQQgghesVi0ihId9EcNAgap5MRLGYz33/8cZKTknj6R0/T7G3GYTFxb1Eqv78pj5nZbv7v00r+6e1DrDlahxqg+ckSIAshhBBCiF5z28yMSXV2aEVtNpn47mOPkZmRyZNPPkljUxMA6W4rP7wsm/+4bhjxdgs/W3eSx5Yf40BVczSG3y0JkIUQQgghxDnJdNvIcNuo7iRIfvTb32Z47nCefPJJPB5P+GcFaS7+a14u356ZwckGP99edoxF+6r7e+jdkgBZCCGEEEKcE03TyE92YDNpNAfa5xWbNI2HH3mYUaPy+cEPf0h9S/lfALOmUZyXyB/n53H72ETiHBHtXddrEiALIYQQQohzZjObKEh34Qno6Eb7nGINjYceeogJEwr4l395gtq6unY/j7Ga+OrkdK7KjevPIZ+VBMhCCCGEEOK8xNktjEp2Ut0c7PAzDY2vfe1rTJ06lX954glqa2v7f4C9JAGyEEIIIYQ4b9lxNlJirNT6Og+S77//fmZfMpvvP/44VdUDK+f4TBIgCyGEEEKI86ZpGmNSnGhondY51tC498v3ctVVV/L4979PRWVFv4+xpyRAFkIIIYQQfcJuMVGY7qLRr+ProhnIl774JeYWz+X733+csvLyfh5hz0iALIQQQggh+ky8w8KkIW483QTJd3zhDubPv5nHv/99Tp061c8jPDsJkIUQQgghRJ9KcFiYmOmmwa/j1zsPkm+95VZuX3A7jz/xBFVVVf08wu4NrKJzQgghhBDigpDotFCUEcOO0kbiHaFycGe6+aabsVislA+wVAtZQRZCCCGEEBGR7LIyMSOGOp/R5UpycXExY8eO7eeRdU8CZCGEEEIIETHJMVYmpruo83WdbjHQSIAshBBCCCEiKjnGSlFLkBzQ1dnfEGUSIAshhBBCiIhLibFRmO6i1hsc8EGyBMhCCCGEEKJfpMbYKEh3UeMNEjQGbpAsVSyEEEIIIUS/SXfbUMCusiaSnBZMWrRH1JEEyEIIIYQQol9luG0oBbvLm0hwmKM9nA4kQBZCCCGEEP0uM9aGQrG7vDnaQ+lAAmQhhBBCCBEVQ2LtGAbs8TZEeyjtSIAshBBCCCGiJjvejtZsj/Yw2pEqFkIIIYQQIqps5oG1U08CZCGEEEIIIdqQAFkIIYQQQog2JEAWQgghhBCiDQmQhRBCCCGEaEMCZCGEEEIIIdqQAFkIIYQQQog2JEAWQgghhBCiDQmQhRBCCCGEaEMCZCGEEEIIIdqQAFkIIYQQQog2JEAWQgghhBCiDQmQhRBCCCGEaEMCZCGEEEIIIdqQAFkIIYQQQog2NKWUivYg+lpKSgq5ubnndY6KigpSU1P7ZkAXAZmv3pH56h2Zr56Tueodma/ekfnqOZmr3onWfB09epTKysoOr1+QAXJfmDp1Klu2bIn2MAYNma/ekfnqHZmvnpO56h2Zr96R+eo5maveGWjzJSkWQgghhBBCtCEBshBCCCGEEG1IgNyFBx98MNpDGFRkvnpH5qt3ZL56Tuaqd2S+ekfmq+dkrnpnoM2X5CALIYQQQgjRhqwgCyGEEEII0YYEyEIIIYQQQrRxQQTIy5YtY/To0eTl5fHcc8+FX3/++efJy8tD07ROa9y1+upXv0pRURGFhYUsWLAAj8cDgM/n48477yQvL48ZM2Zw9OjRTt//8ssvk5+fT35+Pi+//HL49eLiYoqKihg/fjzf+MY30HW9b77weRqo8/XXv/6VwsJCxo8fzxNPPNE3X7YPRHu+iouLSUhI4MYbb2z3+le+8hWGDx/OxIkTmThxIjt27Djv73q+ojlXO3bsYNasWYwfP57CwkL++te/9vrz+1uk5uuDDz5g8uTJWCwW3njjjV5/flfnjbaBOl+rV69m8uTJFBQUcN999xEMBvvg256faM/VAw88QFpaGgUFBe1ef+aZZ8jKygpft5YsWXKe37RvRHO+SkpKuOqqqxg3bhzjx4/nN7/5Tfhnf//73xk/fjwmk2lAlUDrar7uvvtuRo8eTUFBAQ888ACBQKDT9x85coQZM2aQl5fHnXfeid/vBwbYtUsNcsFgUI0YMUIdOnRI+Xw+VVhYqHbv3q2UUmrbtm3qyJEjatiwYaqioqLLc9TV1YX/+zvf+Y766U9/qpRS6oUXXlBf//rXlVJKvfbaa+qOO+7o8N6qqio1fPhwVVVVpaqrq9Xw4cNVdXV1u/MahqFuu+029dprr/XNlz4PA3W+KisrVU5OjiovL1dKKXXvvfeqlStX9tn3PlfRni+llFq5cqV6++231Q033NDu9fvuu0/9/e9/P6/v15eiPVf79+9XBw4cUEopdeLECZWRkaFqamp69fn9KZLzdeTIEbVz50715S9/ucvfke4+v6vzRtNAnS9d11V2drbav3+/Ukqpp556Sv3hD3/oq699TqI9V0op9f7776utW7eq8ePHt3v9Rz/6kfrFL35xPl+vz0V7vk6ePKm2bt2qlFKqvr5e5efnhz9/z549at++feqKK65QH3/8cZ983/PV3XwtXrxYGYahDMNQd911l/rv//7vTs/xhS98IRwTff3rXw8fN5CuXYN+BXnz5s3k5eUxYsQIbDYbd911F4sWLQJg0qRJPeqoFxcXB4BSiubmZjRNA2DRokXcd999ACxYsIBVq1ahztjTuHz5cubMmUNSUhKJiYnMmTOHZcuWtTtvMBjE7/eHzxtNA3W+Dh8+TH5+friLzrXXXss//vGPvvra5yza8wVwzTXXEBsb20ffKHKiPVejRo0iPz8fgCFDhpCWlkZFRUWvPr8/RXK+cnNzKSwsxGTq+hLf3ed3dd5oGqjzVVVVhc1mY9SoUQDMmTMn6teuaM8VwOWXX05SUtL5fZF+Eu35yszMZPLkyQDExsYyduxYTpw4AcDYsWMZPXr0+Xy9PtfdfM2bNw9N09A0jenTp3P8+PEO71dKsXr1ahYsWADAfffdx8KFC4GBde0a9AHyiRMnyMnJCf/v7Ozs8C9Wb9x///1kZGSwb98+HnnkkQ7ntlgsxMfHU1VV1avPnzt3LmlpacTGxoZ/GaJpoM5XXl4e+/fv5+jRowSDQRYuXEhJScm5fMU+Fe35Opsnn3ySwsJCvvOd7+Dz+Xo9rr40kOZq8+bN+P1+Ro4c2evP7y+RnK+++PxzPW+kDNT5SklJIRgMhh9/v/HGG1G/dkV7rs7m+eefp7CwkAceeICampo+O++5GkjzdfToUbZv386MGTPO6f39oSfzFQgEePXVVykuLu7w/qqqKhISErBYLF2+/3w+v69+bwd9gNxXXnrpJU6ePMnYsWPb5S6er+XLl1NaWorP52P16tV9dt5o6+v5SkxM5H/+53+48847ueyyy8jNzcVsNvfBSAeGSPx+/fSnP2Xfvn18/PHHVFdX87Of/axPzhtt5ztXpaWlfPnLX+all1466yrXhSBS165InTfa+vp7aZrG66+/zne+8x2mT59ObGzsBXPtisTvwEMPPcShQ4fYsWMHmZmZPPbYY31y3oHgfOfL4/Fw++238+tf/zq8EjpYffOb3+Tyyy/nsssu6/fP7qvf20F/98jKymr31/rx48fJysrq9j1z585l4sSJ/NM//VO7181mM3fddVf48VjbcweDQerq6khOTu715zscDubPnx9+BBBNA3m+brrpJjZt2sSGDRsYPXp0+JFlNEV7vrqTmZmJpmnY7Xbuv/9+Nm/e3OP3RsJAmKv6+npuuOEGfvKTnzBz5szz/UoRFcn56qvPP5fzRspAnq9Zs2bx4YcfsnnzZi6//PKoX7uiPVfdSU9Px2w2YzKZ+NrXvhb16xYMjPkKBALcfvvt3H333dx22229em9/O9t8Pfvss1RUVPCf//mf4dfazldycjK1tbXhzaw9me/efD700e/tOWcvDxCBQEANHz5cHT58OJysvWvXrnbHdJdcbxiGOnjwYPi/H3vsMfXYY48ppZR6/vnn220M+sIXvtDh/VVVVSo3N1dVV1er6upqlZubq6qqqlRDQ4M6efJkeIx33HGH+u1vf9tn3/tcDdT5UkqpsrIypZRS1dXVqqioKLzpJZqiPV+t1qxZ02GTXuvvl2EY6tFHH1VPPPHEuX3JPhLtufL5fOrqq69Wv/rVr7oc40DapBfJ+WrV3UbOrj6/J+eNhoE6X0qdvnZ5vV519dVXq1WrVp3Xdz1f0Z6rVkeOHOmwSa/1uqWUUv/5n/+p7rzzzh5/r0iJ9nwZhqG+/OUvq0cffbTLMQ6kTXrdzdfvf/97NWvWLNXU1NTtORYsWNBuk94LL7zQ7ucD4do16ANkpUK7JvPz89WIESPUv/3bv4Vf/81vfqOysrKU2WxWmZmZ6qtf/WqH9+q6rmbPnq0KCgrU+PHj1Ze+9KXwLsjm5ma1YMECNXLkSDVt2jR16NChTj//j3/8oxo5cqQaOXKk+tOf/qSUUurUqVNq6tSpasKECWr8+PHq4YcfVoFAIALfvvcG4nwppdRdd92lxo4dq8aOHTsgKn60ivZ8XXrppSolJUU5HA6VlZWlli1bppRS6qqrrgqf9+6771YNDQ0R+Pa9E825evXVV5XFYlFFRUXh/9u+fXuPPz8aIjVfmzdvVllZWcrlcqmkpCQ1bty4Hn9+d+eNtoE4X0op9b3vfU+NGTNGjRo1qts/0PpTtOfqrrvuUhkZGcpisaisrKxwZY977rlHFRQUqAkTJqibbrqpXcAcTdGcrw8//FABasKECeFr1+LFi5VSSr355psqKytL2Ww2lZaWpq677roIzUDvdDVfZrNZjRgxIvw9nn322U7ff+jQITVt2jQ1cuRItWDBAuX1epVSA+vaJa2mhRBCCCGEaGPQ5yALIYQQQgjRlyRAFkIIIYQQog0JkIUQQgghhGhDAmQhhBBCCCHakABZCCGEEEKINiRAFkKIQaiqqoqJEycyceJEMjIyyMrKYuLEibjdbr75zW9Ge3hCCDGoSZk3IYQY5J555hncbjff+973oj0UIYS4IMgKshBCXEDWrl3LjTfeCIQC5/vuu4/LLruMYcOG8eabb/L4448zYcIEiouLCQQCAGzdupUrrriCKVOmMHfuXEpLS6P5FYQQIuokQBZCiAvYoUOHWL16NW+//Tb33HMPV111FZ9++ilOp5PFixcTCAR45JFHeOONN9i6dSsPPPAATz75ZLSHLYQQUWWJ9gCEEEJEzvXXX4/VamXChAnouk5xcTEAEyZM4OjRo+zfv59du3YxZ84cAHRdJzMzM5pDFkKIqJMAWQghLmB2ux0Ak8mE1WpF07Tw/w4GgyilGD9+PBs2bIjmMIUQYkCRFAshhLiIjR49moqKinCAHAgE2L17d5RHJYQQ0SUBshBCXMRsNhtvvPEGTzzxBEVFRUycOJGPPvoo2sMSQoiokjJvQgghhBBCtCEryEIIIYQQQrQhAbIQQgghhBBtSIAshBBCCCFEGxIgCyGEEEII0YYEyEIIIYQQQrQhAbIQQgghhBBtSIAshBBCCCFEG/8/5J/NGx1zNdYAAAAASUVORK5CYII=\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# We begin by computing the sMAPE of Prophet's forecast (scale is 0 to 100)\n", "smape2 = ForecastMetric.sMAPE.value(sub_test_data, forecast2)\n", "print(f\"{type(model2).__name__} sMAPE is {smape2:.3f}\")\n", "\n", "# Next, we can visualize the actual forecast, and understand why it\n", "# attains this particular sMAPE. Since Prophet supports uncertainty\n", "# estimation, we plot its error bars too.\n", "# Note that we can specify time_series_prev here as well, though it\n", "# will not be visualized unless we also supply the keyword argument\n", "# plot_time_series_prev=True.\n", "fig, ax = model2.plot_forecast(time_series=sub_test_data,\n", " time_series_prev=train_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MSES sMAPE is 4.377\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# We begin by computing the sMAPE of MSES's forecast (scale is 0 to 100)\n", "smape3 = ForecastMetric.sMAPE.value(sub_test_data, forecast3)\n", "print(f\"{type(model3).__name__} sMAPE is {smape3:.3f}\")\n", "\n", "# Next, we visualize the actual forecast, and understand why it \n", "# attains this particular sMAPE.\n", "fig, ax = model3.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ensemble sMAPE is 2.594\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compute the sMAPE of the ensemble's forecast (scale is 0 to 100)\n", "smape_e = ForecastMetric.sMAPE.value(sub_test_data, forecast_e)\n", "print(f\"Ensemble sMAPE is {smape_e:.3f}\")\n", "\n", "# Visualize the forecast.\n", "fig, ax = ensemble.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selector sMAPE is 3.770\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compute the sMAPE of the selector's forecast (scale is 0 to 100)\n", "smape_s = ForecastMetric.sMAPE.value(sub_test_data, forecast_s)\n", "print(f\"Selector sMAPE is {smape_s:.3f}\")\n", "\n", "# Visualize the forecast.\n", "fig, ax = selector.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Saving & Loading Models\n", "\n", "All models have a `save()` method and `load()` class method. Models may also be loaded with the assistance of the `ModelFactory`, which works for arbitrary models. The `save()` method creates a new directory at the specified path, where it saves a `json` file representing the model's config, as well as a binary file for the model's state.\n", "\n", "We will demonstrate these behaviors using our `Prophet` model (`model2`) for concreteness." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prophet Config\n", "{'add_seasonality': 'auto',\n", " 'daily_seasonality': 'auto',\n", " 'dim': 1,\n", " 'max_forecast_steps': None,\n", " 'model_path': '/Users/pkassianik/research/MerlionPublic/examples/forecast/models/prophet/model.pkl',\n", " 'target_seq_index': 0,\n", " 'transform': {'name': 'Identity'},\n", " 'uncertainty_samples': 100,\n", " 'weekly_seasonality': 'auto',\n", " 'yearly_seasonality': 'auto'}\n" ] } ], "source": [ "import json\n", "import os\n", "import pprint\n", "from merlion.models.factory import ModelFactory\n", "\n", "# Save the model\n", "os.makedirs(\"models\", exist_ok=True)\n", "path = os.path.join(\"models\", \"prophet\")\n", "model2.save(path)\n", "\n", "# Print the config saved\n", "pp = pprint.PrettyPrinter()\n", "with open(os.path.join(path, \"config.json\")) as f:\n", " print(f\"{type(model2).__name__} Config\")\n", " pp.pprint(json.load(f))\n", "\n", "# Load the model using Prophet.load()\n", "model2_loaded = Prophet.load(dirname=path)\n", "\n", "# Load the model using the ModelFactory\n", "model2_factory_loaded = ModelFactory.load(name=\"Prophet\", model_path=path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can do the same exact thing with ensembles! Note that the ensemble saves each of its sub-models in a different sub-directory, which it tracks manually. Additionally, the combiner (which is saved in the `ForecasterEnsembleConfig`), keeps track of the sMAPE achieved by each model (the `metric_values` key)." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selector Config\n", "{'combiner': {'abs_score': False,\n", " 'metric': 'ForecastMetric.sMAPE',\n", " 'metric_values': [5.508162256738464,\n", " 9.015287748492169,\n", " 17.72980301555831],\n", " 'n_models': 3,\n", " 'name': 'ModelSelector'},\n", " 'dim': 1,\n", " 'max_forecast_steps': None,\n", " 'model_paths': [['Arima',\n", " '/Users/pkassianik/research/MerlionPublic/examples/forecast/models/selector/0'],\n", " ['Prophet',\n", " '/Users/pkassianik/research/MerlionPublic/examples/forecast/models/selector/1'],\n", " ['MSES',\n", " '/Users/pkassianik/research/MerlionPublic/examples/forecast/models/selector/2']],\n", " 'target_seq_index': 0,\n", " 'transform': {'name': 'Identity'}}\n" ] } ], "source": [ "# Save the selector\n", "path = os.path.join(\"models\", \"selector\")\n", "selector.save(path)\n", "\n", "# Print the config saved. Note that we've saved all individual models,\n", "# and their paths are specified under the model_paths key.\n", "pp = pprint.PrettyPrinter()\n", "with open(os.path.join(path, \"config.json\")) as f:\n", " print(f\"Selector Config\")\n", " pp.pprint(json.load(f))\n", "\n", "# Load the selector\n", "selector_loaded = ForecasterEnsemble.load(dirname=path)\n", "\n", "# Load the selector using the ModelFactory\n", "selector_factory_loaded = ModelFactory.load(name=\"ForecasterEnsemble\", model_path=path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulating Live Model Deployment\n", "\n", "A typical model deployment scenario is as follows:\n", "1. Train an initial model on some recent historical data\n", "1. At a regular interval `cadence`, obtain the model's forecast for a certain `horizon`\n", "1. At a regular interval `retrain_freq`, retrain the entire model on the most recent data\n", "1. Optionally, specify a maximum amount of data (`train_window`) that the model should use for training\n", "\n", "We provide a `ForecastEvaluator` object which simulates the above deployment scenario, and also allows a user to evaluate the quality of the forecaster according to an evaluation metric of their choice. We illustrate two examples below, using ARIMA for the first example, and the model selector for the second." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from merlion.evaluate.forecast import ForecastEvaluator, ForecastEvaluatorConfig, ForecastMetric\n", "\n", "def create_evaluator(model):\n", " # Re-initialize the model, so we can re-train it from scratch\n", " model.reset()\n", "\n", " # Create an evaluation pipeline for the model, where we\n", " # -- get the model's forecast every hour\n", " # -- have the model forecast for a horizon of 6 hours\n", " # -- re-train the model every 12 hours\n", " # -- when we re-train the model, retrain it on only the past 2 weeks of data\n", " evaluator = ForecastEvaluator(\n", " model=model, config=ForecastEvaluatorConfig(\n", " cadence=\"1h\", horizon=\"6h\", retrain_freq=\"12h\", train_window=\"14d\")\n", " )\n", " return evaluator" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, let's evaluate ARIMA." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "ForecastEvaluator: 100%|██████████| 169200/169200 [00:08<00:00, 19715.09it/s]\n" ] } ], "source": [ "# Obtain the results of running the evaluation pipeline for ARIMA.\n", "# These result objects are to be treated as a black box, and should be\n", "# passed directly to the evaluator's evaluate() method.\n", "model1_evaluator = create_evaluator(model1)\n", "model1_train_result, model1_test_result = model1_evaluator.get_predict(\n", " train_vals=train_data, test_vals=test_data)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Arima sMAPE: 2.012\n", "Arima RMSE: 143.235\n" ] } ], "source": [ "# Evaluate ARIMA's sMAPE and RMSE\n", "smape = model1_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=model1_test_result,\n", " metric=ForecastMetric.sMAPE)\n", "rmse = model1_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=model1_test_result,\n", " metric=ForecastMetric.RMSE)\n", "print(f\"{type(model1).__name__} sMAPE: {smape:.3f}\")\n", "print(f\"{type(model1).__name__} RMSE: {rmse:.3f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we will evaluate the ensemble (taking the mean prediction of ARIMA, Prophet, and MSES every time the models are called)." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 1/3...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3...\n", "ForecastEvaluator: 26%|██▌ | 43200/169200 [00:04<00:14, 8996.40it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3...\n", "ForecastEvaluator: 51%|█████ | 86400/169200 [00:13<00:09, 8845.69it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3...\n", "ForecastEvaluator: 77%|███████▋ | 129600/169200 [00:21<00:04, 8884.15it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3...\n", "INFO:merlion.models.forecast.prophet:Add seasonality 24\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3...\n", "ForecastEvaluator: 100%|██████████| 169200/169200 [00:29<00:00, 5649.86it/s]\n" ] } ], "source": [ "# Obtain the results of running the evaluation pipeline for the ensemble.\n", "# These result objects are to be treated as a black box, and should be\n", "# passed directly to the evaluator's evaluate() method.\n", "ensemble_evaluator = create_evaluator(ensemble)\n", "ensemble_train_result, ensemble_test_result = ensemble_evaluator.get_predict(\n", " train_vals=train_data, test_vals=test_data)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ensemble sMAPE: 2.882\n", "Ensemble RMSE: 210.098\n" ] } ], "source": [ "# Evaluate the selector's sMAPE and RMSE\n", "smape = ensemble_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=ensemble_test_result,\n", " metric=ForecastMetric.sMAPE)\n", "rmse = ensemble_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=ensemble_test_result,\n", " metric=ForecastMetric.RMSE)\n", "print(f\"Ensemble sMAPE: {smape:.3f}\")\n", "print(f\"Ensemble RMSE: {rmse:.3f}\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 }