{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Evaluating DeBERTaV3 with the Nonparametric Analysis\n", "---\n", "*A nonparametric analysis of hyperparameter search for fine-tuning DeBERTa and DeBERTaV3*\n", "\n", "For more background, see the notebook [**Nonparametric Analysis**](../theory/nonparametric-analysis.ipynb) or our paper: [**Show Your Work with Confidence: Confidence Bands for Tuning Curves**](https://arxiv.org/abs/2311.09480)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# imports\n", "\n", "import json\n", "import numbers\n", "import warnings\n", "\n", "from matplotlib import pyplot as plt\n", "import numpy as np\n", "\n", "from opda import nonparametric\n", "import opda.random\n", "\n", "# constants\n", "\n", "evaluations = {\n", " \"matched\": {\n", " \"name\": \"MultiNLI-m\",\n", " },\n", " \"mismatched\": {\n", " \"name\": \"MultiNLI-mm\",\n", " },\n", "}\n", "\n", "models = {\n", " \"deberta-base\": {\n", " \"name\": \"DeBERTa\",\n", " \"style\": {\"linestyle\": \"-\", \"color\": \"#FFB000\"},\n", " },\n", " \"deberta-v3-base\": {\n", " \"name\": \"DeBERTaV3\",\n", " \"style\": {\"linestyle\": \"--\", \"color\": \"#648FFF\"},\n", " },\n", "}\n", "\n", "epochs = {\n", " 1 : {\"style\": {\"linestyle\": \"-\", \"color\": \"#fe6100\"}},\n", " 2 : {\"style\": {\"linestyle\": \"--\", \"color\": \"#dc267f\"}},\n", " 3 : {\"style\": {\"linestyle\": \"-.\", \"color\": \"#785ef0\"}},\n", " 4 : {\"style\": {\"linestyle\": \":\", \"color\": \"#648fff\"}},\n", " \"all\": {\"style\": {\"linestyle\": \"-\", \"color\": \"#ffb000\"}},\n", "}\n", "\n", "\n", "# helper functions\n", "\n", "def is_number(x):\n", " return isinstance(x, numbers.Number)\n", "\n", "\n", "# experimental settings\n", "\n", "evaluation = \"matched\"\n", "model = \"deberta-v3-base\"\n", "band = \"ld_highest_density\"\n", "\n", "sample_sizes = [6, 20, 34, 48]\n", "n = sample_sizes[-1] # Later analyses assume n == sample_sizes[-1]\n", "ns_grid = np.linspace(1, 4 * n, num=50_000)\n", "\n", "y_min = 0.\n", "y_max = 1.\n", "\n", "confidence = 0.80\n", "\n", "default_num_train_epochs = 3\n", "\n", "\n", "# Configure environment.\n", "\n", "generator = np.random.RandomState(0)\n", "opda.random.set_seed(generator)\n", "\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "\n", "# Configure Matplotlib.\n", "\n", "plt.style.use(\"experiments.default\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The DeBERTa Model Family\n", "\n", "One approach to natural language processing takes a neural network pretrained with raw text and then fine-tunes it on labeled data. [DeBERTa](https://github.com/microsoft/DeBERTa) offers one such pretrained model, with two major versions: *DeBERTa* [(He et al., 2021)](https://arxiv.org/abs/2006.03654) and *DeBERTaV3* [(He et al., 2023)](https://arxiv.org/abs/2111.09543).\n", "\n", "Despite sharing their name, DeBERTa and DeBERTaV3 have significant differences. For example, DeBERTa is trained with a generative masked-language modeling objective [(Devlin et al., 2018)](https://arxiv.org/abs/1810.04805), while DeBERTaV3 uses the discriminative ELECTRA pretraining [(Clark et al., 2020)](https://arxiv.org/abs/2003.10555).\n", "\n", "Both models have a number of hyperparameters to set when fine-tuning them. We can investigate these models individually and compare them to each other using optimal design analysis (OPDA)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Experimental Design\n", "\n", "In our case study, we compare fine-tuning two pretrained models, DeBERTa and DeBERTaV3, for natural language inference (NLI) on the [MultiNLI dataset](https://cims.nyu.edu/~sbowman/multinli/) [(Adina et al., 2018)](https://arxiv.org/abs/1704.05426).\n", "\n", "When assessing models with OPDA, one must first define the hyperparameter search distribution and then sample and evaluate hyperparameters from it. Since DeBERTa and DeBERTaV3 share the same hyperparameters for fine-tuning, we used the same search distribution for both:\n", "\n", "$$\n", "\\begin{align*}\n", " \\mathtt{batch}\\_\\mathtt{size} &\\sim \\operatorname{DiscreteUniform}(16, 64) \\\\\n", " \\mathtt{num}\\_\\mathtt{epochs} &\\sim \\operatorname{DiscreteUniform}( 1, 4) \\\\\n", " \\mathtt{warmup}\\_\\mathtt{proportion} &\\sim \\operatorname{Uniform}(0, 0.6) \\\\\n", " \\mathtt{learning}\\_\\mathtt{rate} &\\sim \\operatorname{LogUniform}(10^{-6}, 10^{-3}) \\\\\n", " \\mathtt{dropout} &\\sim \\operatorname{Uniform}(0, 0.3) \\\\\n", "\\end{align*}\n", "$$\n", "\n", "where $\\mathtt{warmup}\\_\\mathtt{proportion}$ is the number of warmup steps as a proportion of the first epoch. \n", "\n", "We fine-tuned both DeBERTa and DeBERTaV3 on MultiNLI using 1,024 hyperparameter settings sampled from this search distribution. MultiNLI has two validation sets: matched (same domains as training) and mismatched (different domains from training). Each fine-tuned model was evaluated on both. Thus, for each model and validation set we have 1,024 accuracy numbers—one for each sampled set of hyperparameters." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# load the data\n", "model_to_evaluation_to_hparams = {}\n", "model_to_evaluation_to_ys = {}\n", "for model_ in models:\n", " for evaluation_ in evaluations:\n", " hparams = []\n", " ys = []\n", " with open(f\"../../data/deberta/{model_}.results.jsonl\") as f_in:\n", " for ln in f_in:\n", " ex = json.loads(ln)\n", " hparams.append({\n", " key: ex[key]\n", " for key in [\n", " \"num_train_epochs\",\n", " \"train_batch_size\",\n", " \"learning_rate\",\n", " \"warmup_steps\",\n", " \"cls_drop_out\",\n", " ]\n", " })\n", " ys.append(max(\n", " score\n", " for _, score in ex[\"learning_curves\"][evaluation_]\n", " ))\n", " if model_ not in model_to_evaluation_to_hparams:\n", " model_to_evaluation_to_hparams[model_] = {}\n", " model_to_evaluation_to_hparams[model_][evaluation_] = hparams\n", " if model_ not in model_to_evaluation_to_ys:\n", " model_to_evaluation_to_ys[model_] = {}\n", " model_to_evaluation_to_ys[model_][evaluation_] = np.array(ys)\n", "\n", "# Validate the data.\n", "total_samples = 1_024\n", "for model_ in models:\n", " for evaluation_ in evaluations:\n", " # Check each experiment has the expected number of samples.\n", " if (\n", " len(model_to_evaluation_to_hparams[model_][evaluation_]) != total_samples\n", " or len(model_to_evaluation_to_ys[model_][evaluation_]) != total_samples\n", " ):\n", " raise RuntimeError(\n", " \"The experiment data does not contain the correct\"\n", " \" number of examples.\",\n", " )\n", " # Check ``epochs`` matches the epochs used in experiments.\n", " for hparams in model_to_evaluation_to_hparams[model_][evaluation_]:\n", " if hparams[\"num_train_epochs\"] not in set(filter(is_number, epochs)):\n", " raise RuntimeError(\n", " \"Found an unexpected value for num_train_epochs.\",\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Comparing Against a Baseline\n", "\n", "Suppose we wanted to compare fine-tuning DeBERTa and DeBERTaV3 for NLI using MultiNLI [(Adina et al., 2018)](https://arxiv.org/abs/1704.05426). OPDA recommends that we identify the hyperparameters, define a search distribution, and then analyze the tuning curves associated with this search distribution. Assume we used the search distribution defined above:\n", "\n", "$$\n", "\\begin{align*}\n", " \\mathtt{batch}\\_\\mathtt{size} &\\sim \\operatorname{DiscreteUniform}(16, 64) \\\\\n", " \\mathtt{num}\\_\\mathtt{epochs} &\\sim \\operatorname{DiscreteUniform}( 1, 4) \\\\\n", " \\mathtt{warmup}\\_\\mathtt{proportion} &\\sim \\operatorname{Uniform}(0, 0.6) \\\\\n", " \\mathtt{learning}\\_\\mathtt{rate} &\\sim \\operatorname{LogUniform}(10^{-6}, 10^{-3}) \\\\\n", " \\mathtt{dropout} &\\sim \\operatorname{Uniform}(0, 0.3) \\\\\n", "\\end{align*}\n", "$$\n", "\n", "where $\\mathtt{warmup}\\_\\mathtt{proportion}$ is the number of warmup steps as a proportion of the first epoch. \n", "\n", "If our aim is to evaluate DeBERTaV3, then one [rule of thumb for picking the number of search iterations](./choosing-a-sample-size-for-the-nonparametric-analysis.ipynb) is to determine how many iterations we expect model users to perform and then multiply that by at least 6.25 (if we plan to use 80% confidence bands). So, if a typical model user will perform 6-8 search iterations, we'll use at least 37.5 to 50 to construct the tuning curve. For this analysis, we'll use 48.\n", "\n", "Since the nonparametric bands from OPDA hold simultaneously, they provide quite a strong guarantee, so we'll use an 80% confidence level for constructing our bands." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Evaluating a Single Model\n", "\n", "To evaluate a single model, we construct [the tuning curve](../theory/formalizing-the-problem.ipynb) with confidence bands. Potential users can then read the cost-benefit trade-off from these plots and determine whether the model achieves sufficient performance for their application and within their computational budget. For DeBERtaV3 on MultiNLI, the tuning curves look as follows:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Subsample the data to obtain a sample of size n.\n", "ys = generator.choice(\n", " model_to_evaluation_to_ys[model][evaluation],\n", " size=n,\n", " replace=False,\n", ")\n", "\n", "# Construct the confidence bands.\n", "lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", "# Plot the confidence bands.\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "\n", "ax.plot(\n", " ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=\"point estimate\",\n", " **models[model][\"style\"],\n", ")\n", "ax.fill_between(\n", " ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " label=f\"{confidence * 100:.0f}% confidence\",\n", " color=models[model][\"style\"][\"color\"],\n", ")\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, n // 4)\n", "ax.set_ylim(0.87, 0.91)\n", "ax.set_yticks(np.linspace(0.87, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"search iterations\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'{models[model][\"name\"]} Tuning Curve'\n", " f' on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thus, we see that with 48 search iterations, we can bound the tuning curve fairly tightly up to about 8 search iterations. Below, we visualize what the tuning curve bounds look like for various sample sizes and both the matched and mismatched MultiNLI test sets:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Choose indices to subsample the data and obtain a sample of size\n", "# sample_size_.\n", "idxs = generator.choice(total_samples, size=n, replace=False)\n", "\n", "fig, axes = plt.subplots(\n", " nrows=2,\n", " ncols=len(sample_sizes),\n", " sharex=True,\n", " sharey=\"row\",\n", " figsize=(12, 6),\n", ")\n", "for j, sample_size_ in enumerate(sample_sizes):\n", " for i, evaluation_ in enumerate(evaluations):\n", " ys = model_to_evaluation_to_ys[model][evaluation_][\n", " idxs[:sample_size_]\n", " ]\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " axes[i, j].plot(\n", " ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " **models[model][\"style\"],\n", " )\n", " axes[i, j].fill_between(\n", " ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=models[model][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "for j, sample_size_ in enumerate(sample_sizes):\n", " axes[1, j].set_xlabel(\"search iterations\")\n", " axes[0, j].set_title(f\"n = {sample_size_}\")\n", "\n", "for i, evaluation_ in enumerate(evaluations):\n", " axes[i, 0].set_ylabel(\"accuracy\")\n", " axes[i, -1].yaxis.set_label_position(\"right\")\n", " axes[i, -1].set_ylabel(evaluation_, labelpad=18, rotation=270)\n", "\n", "for i in range(len(evaluations)):\n", " for j in range(len(sample_sizes)):\n", " axes[i, j].set_xlim(1, n // 4)\n", " axes[i, j].set_ylim(0.865, 0.915)\n", " axes[i, j].spines[\"right\"].set_color(\"lightgrey\")\n", " axes[i, j].spines[\"top\"].set_color(\"lightgrey\")\n", "\n", "fig.suptitle(\n", " f'{models[model][\"name\"]} Tuning Curves on MultiNLI',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see the main effect of increasing sample size is to shift over the point at which the upper confidence band jumps to the upper bound on performance. Increasing the sample size does tend to narrow the band as well; however, the effect is not very noticeable on DeBERTaV3.\n", "\n", "Just for fun, let's see what the tuning curve looks like in the large sample limit, with say 1,024 iterations of random search:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Use all the data to obtain a sample of size 1,024.\n", "ys = model_to_evaluation_to_ys[model][evaluation]\n", "\n", "# Construct the confidence bands.\n", "lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", "# Plot the confidence bands.\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "\n", "ax.plot(\n", " ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=\"point estimate\",\n", " **models[model][\"style\"],\n", ")\n", "ax.fill_between(\n", " ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " label=f\"{confidence * 100:.0f}% confidence\",\n", " color=models[model][\"style\"][\"color\"],\n", ")\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, 185)\n", "ax.set_ylim(0.87, 0.91)\n", "ax.set_yticks(np.linspace(0.87, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"search iterations\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'{models[model][\"name\"]} Tuning Curve'\n", " f' on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparing Two Models\n", "\n", "Beyond evaluating a single model, we may also want to compare two models. To accomplish this task, we can plot their tuning curves with confidence bands side-by-side:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "for model_ in models:\n", " # Subsample the data to obtain a sample of size n.\n", " ys = generator.choice(\n", " model_to_evaluation_to_ys[model_][evaluation],\n", " size=n,\n", " replace=False,\n", " )\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " ax.plot(\n", " ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=models[model_][\"name\"],\n", " **models[model_][\"style\"],\n", " )\n", " ax.fill_between(\n", " ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=models[model_][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, n // 4)\n", "ax.set_ylim(0.87, 0.91)\n", "ax.set_yticks(np.linspace(0.87, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"search iterations\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'DeBERTa vs. DeBERTaV3 on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In general, it's tempting to require that there's no overlap between the confidence bands before concluding that one model is better than the other; however, this criterion is too conservative. Inspired by [Minka (2002)](https://tminka.github.io/papers/minka-errorbars.pdf), one could use the following guidelines: the evidence for an improvement is *weak* if one point estimate is excluded by the other's confidence bands, *fair* if each point estimate is excluded by the other's confidence bands, and *strong* if the confidence bands have no overlap, over a nontrivial portion of the tuning curve.\n", "\n", "We see clear separation between DeBERTa and DeBERTaV3's tuning curves. Thus, we can confidently conclude that DeBERTaV3 outperforms DeBERTa for all hyperparameter tuning budgets (or at least up to a budget of 8 search iterations).\n", "\n", "Again, we can also explore what our plots would've looked like for various other sample sizes:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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x2223MXfu3KA97wRBEAQh2ZDgkyAIgpDweIMrXbp08W0rLS3F4/EE7ZEEtAjSNEdRFLp168Zvf/tb6uvrufrqq5kzZw7PPfdcu8vsDXY0NDSwfv16rrvuOh599FGGDRsW8rw7YARKTj75ZNauXcuYMWO45JJL6NSpEw6Hg8LCQl555RVcLldIx5oyZQrdunXjjTfeYO7cudjtdv73v/9RV1fHJZdc4pf35ptvplOnTjz99NM8+uijzJ07F4fDwVlnncVjjz0WsDdWtGn+vZeWlgLwxRdf8MUXXwTdr63vPSUlhSOPPJKnnnqK9evX88477/DFF1+EPRyyOUOGDPEFPMvLy5k3bx6/+93v+OUvf8maNWsC9mQKxsqVK31DDadMmcLgwYPJyspCURTmzZvH+vXrW3zvXbt25ZxzzuGdd97h448/5owzzmDNmjVs2LCBE088MaT5zDp37sw555zD6NGjGTx4MFdffTVff/11m/tVVlbSu3fvgO95A2SVlZUt3gsUzPT2zgpn0YCmzJgxg3nz5vH222/z0ksvMW7cuJACaInCjTfeyJNPPsmjjz7KddddF+/iCIIgCEJUkAnHBUEQhIRn2bJlAH7D1XJycujUqRO6rgd97dixI+RzeFe7az6Rc3tJSUlh/PjxLFiwgPz8fG688Ub27t0b8v7vvfcea9eu5corr2Tt2rU8/fTTPPjgg9x7772+1dpCxW63c/HFF7N//34++eQTwBhyZ7PZ+PWvf+2XV1EUZsyYwerVqzl06BDvvvsu5513Hu+99x5nn312xIGBUKmuruabb77Bbrf7eml5AxU33XRTq997OJM8x+p7z8vL4/LLL+fJJ59k//79/P73vw9r/4ceegiXy8Unn3zC+++/z6OPPsp9993Hvffe67daXXO8gU1vz7twJxr30rt3b4YNG8bq1aupra1tM39OTg4HDx4M+N7+/ft9eTqCM888kx49evCnP/2JLVu2tKnd20PM4/G0eK/pZPcdRXp6Ovfddx/V1dWtBtcFQRAEIZmQ4JMgCIKQ0Pz000+8+eabpKam8stf/tK3/ec//zklJSW+oVbtpaysDDAmIY8FXbp04Z577qG2tjasG8pt27YBBFz967PPPgu7HN4eTv/617/YvXs3y5cvZ9KkSa32yunUqRPTpk3zzbf0448/snXr1rDPHQ6PPvootbW1nHHGGb5J4MePH4+iKHz55ZdRO0+sv/cZM2YwduxY3nvvPVauXBnyftu2baOgoIATTzzRb3ttbS1r164Nut/UqVPp1asX8+fPZ8+ePbz++utkZ2dz4YUXhl32oqIiFEXBbre3mXfMmDHU1tayatWqFu95g8ejR48OuwyRYLfbufTSS9m7dy9paWlcfPHFreb3zmsVKCi8bt26sM4LkffYaspll13G8OHDee6552Le1gRBEAShI5DgkyAIgpCwfPHFF0ydOhWXy8Vtt93mFyC58cYbAePmPtDqa/v372fjxo0hnUdVVR5//HEAJkyYEIWSB+baa6+lZ8+evPTSSyH3yurbty8An3/+ud/25cuXRzQ8cOzYsRx11FG8++67/POf/0TX9RZD7sAIGOi67rfN7Xb7hr41XU1u165dbNq0KaQeMm3hcrl45JFHuP/++8nKymLOnDm+97p378706dNZuXIlf/3rX1uUD+Drr78OuRyFhYW88847QOy+d0VRfD2xmk+23Rp9+/alrKyMH374wbdNVVVuvvlmDh06FHQ/u93O5ZdfTkNDAxdddBFlZWVcdNFFfpPyeykqKgoYcNF1nXvvvZcDBw5wyimnkJqa2mZ5vRPe33777X5zU+3evZu//e1vOBwOfvOb37R5nGgxa9Ys3n33XT7++OM2VxkcMmQI2dnZvP/++776DXDgwAEefPDBkM9ZUFAAGJrbi91uZ/bs2bjdbpn3SRAEQTAFMueTIAiCEHe2bt3qu8FqaGjg4MGDrFq1iu+++w673c6dd97ZYijV6aefzl133cUDDzzAoEGDOP300+nbty8lJSVs3bqVzz77jAcffJBhw4b57bdmzRq/m7mDBw+yZMkSNm/eTJ8+fbjzzjtblM/j8bR6A3jRRRcxdOjQNnWmpaVx2223ceONN3L//ff7hkS1xjnnnEO/fv145JFH+P777xkxYgSbN2/mgw8+4Je//CX/+9//2jxGc7wrgj3yyCNkZGS0WBEQjKXjc3JyOPbYY+nbty9ut5vFixfz448/csEFF/iCYmBMdL18+XKWLl3KySefHHI5/ve///nmSKqurmbHjh2sWLGC4uJievfuzb/+9S9GjBjht8//+3//j82bN3Prrbfy2muvcdxxx5GXl8fu3btZs2YNW7ZsoaioiIyMDL/9vKsPghFEKywsZN68edTW1nLNNddwzDHHtChf87rSFO93GQq/+MUvGDduHEuWLGH58uVMnDixzX1uuOEGFi1axIknnsj06dNJS0tj2bJl7N27l5NPPtnXmygQM2bMYPbs2b55sYINO9u8eTOnnXYaxx57LIMHD6Zbt24UFxfz2WefsXnzZnr27MlTTz0VksZLLrmEd955h/fee4+jjz6as88+m5qaGv773/9SWlrKo48+2mIi/1jStWtXpk2bFlLelJQUbrjhBmbPns3YsWM599xzqaqqYv78+UycONHX+7AtjjvuONLT0/n73/9OWVmZb66yQJ4SCr/4xS848cQTWwSem/PAAw/4zYfXlNtuuy0kbxIEQRCEmKMLgiAIQpzYsWOHDvi90tPT9R49euiTJk3S77rrLn3r1q2tHmPx4sX6Oeeco3fp0kV3Op169+7d9eOOO05/4IEH9F27dvnyLV26tMW5AD0tLU0fNmyYfsstt+jFxcUtjt+3b9+A+zV9vfvuu778l112mQ7oX375ZcDy1tfX67169dLtdru+efNmv/e8Zbzsssv8tm/fvl0///zz9S5duugZGRn6+PHj9TfeeMOX/5577mn9g27Grl27dJvNpgP6xRdfHDDP//t//0//xS9+offt21dPS0vTO3XqpP/sZz/Tn376ab2hocEv78SJE3VAX7p0aUjnv+eee/w+P5vNpufk5OiDBg3SL7jgAv2ll17Sa2pqgu5fW1urP/LII/q4ceP0zMxMPT09Xe/fv78+bdo0/dVXX9Xdbrcvr/f7aPpSFEXPz8/XTz75ZP21115rcfxgdaXpKzc3128fQB8yZEjQMs+fP18H9JNOOqnFe94yNv/8/ve//+ljx47VMzIy9M6dO+vTp0/Xt23b5su/Y8eOoOebNGmSDujDhw8PmqeoqEi/9dZb9Z///Od6ly5ddIfDoWdnZ+tjx47V77rrLr2kpCTovoFwu9363Llz9ZEjR+qpqal6dna2PnHiRP29995rkfell17SAf2ll15q8V649dpb/4qKitrMe+211wb8rFVV1e+99169d+/eekpKin7kkUfqjz/+uL59+/aAbdJ7zuZ8+OGH+vjx4/X09HRfXfES6HvzeuDUqVMDlveLL77wHad5GQLV7eYvr85wPiNBEARBiAWKrgfosy4IgiAIgiAIgiAIgiAIUUDmfBIEQRAEQRAEQRAEQRBihgSfBEEQBEEQBEEQBEEQhJghwSdBEARBEARBEARBEAQhZkjwSRAEQRAEQRAEQRAEQYgZEnwSBEEQBEEQBEEQBEEQYoYEnwRBEARBEARBEARBEISYIcEnQRAEQRAEQRAEQRAEIWZI8EkQBEEQBEEQBEEQBEGIGRJ8EgRBEARBEARBEARBEGKGBJ8EQRAEQRAEQRAEQRCEmCHBJ0EQBEEQBEEQBEEQBCFmSPBJEARBEARBEARBEARBiBkSfBIEQRAEQRAEQRAEQRBihgSfBEEQBEEQBEEQBEEQhJghwSdBEARBEARBEARBEAQhZkjwSRAEQRAEQRAEQRAEQYgZEnwSBEEQBEEQBEEQBEEQYoYEnwRBEARBEARBEARBEISYIcEnQRAEQRAEQRAEQRAEIWZI8EkQBEEQBEEQBEEQBEGIGRJ8EgRBEARBEARBEARBEGKGBJ8EQRAEQRAEQRAEQRCEmCHBJ0EQBEEQBEEQBEEQBCFmSPBJEARBEARBEARBEARBiBkSfBIEQRAEQRAEQRAEQRBihgSfBEEQBEEQBEEQBEEQhJghwSdBEARBEARBEARBEAQhZkjwSRAEQRAEQRAEQRAEQYgZEnwShDiwfv16fv3rX9OrVy9SU1Pp2bMnZ5xxBkuXLo130QRBiDM1NTX861//Yvr06Rx55JGkp6eTl5fHxIkTef3114Pup2kaTzzxBCNHjiQ9PZ0uXbpw8cUXs3379g4svSAIicA//vEPzjrrLPr160dmZiZ5eXmMGjWKe++9l9LS0jb3b2hoYPTo0SiKwtChQzugxIIgJDpffvkldrsdRVF4+OGHA+YpLy/n7rvv5uijjyY7O5vOnTszfvx4nnzySerr6zu4xEKioei6rse7EIJgJV599VVmzJhBbm4uZ599Nr169aK4uJg1a9Zw/vnn8+c//zneRRQEIY589NFHnHHGGXTq1IlTTjmFAQMGcPDgQd555x3Ky8v5/e9/z5NPPtliv6uvvprnn3+e4cOHc9ZZZ7Fv3z7efPNNsrKy+Oqrrxg8eHAc1AiCEA9GjRoFwOjRo+nevTv19fV8/fXXfP311/Tu3ZtVq1bRvXv3oPv/+c9/5vHHH6empoYhQ4awadOmjiq6IAgJSG1tLaNHj2bfvn3U1NQwZ84cbrvtNr885eXljBs3ju3bt3PiiSfy85//HJfLxcKFC9m2bRuTJ09m8eLF2GzS/8Wy6IIgdBhr1qzRHQ6Hfuyxx+qlpaUt3ne73XEolSAIicS6dev01157TXe5XH7b9+/fr/ft21cH9K+//trvvSVLluiAPmHCBL/9FixYoAP6lClTOqTsgiAkBnV1dQG333nnnTqg33zzzUH3/frrr3W73a4/+eSTOqAPGTIkVsUUBCFJuP766/Xc3Fz9wQcf1AF9zpw5LfL85S9/0QH9D3/4g992l8ulH3PMMTqgL1++vKOKLCQgEnYUTMGyZctQFIV7772XNWvWcNppp5GdnU1ubi6//OUvKSwsjHcRAeNJoqqqvPbaa+Tn57d43+FwxKFUgmAdksErRo8ezW9/+1tSUlL8tnfr1o1rr70WgBUrVvi999xzzwHwwAMP+O13xhlncPLJJ7No0SJ27doV45ILgvlJBg8BSEtLC7j9wgsvBGDr1q0B36+vr+eyyy7jxBNP5LrrrotZ+QTByiSLj3hZunQpTz31FH/729/o1atX0HzeYf5nnnmm3/aUlBSmTJkCwKFDh2JXUCHhkeCTYCpWr17NhAkTSElJ4dprr+WYY45h3rx5nHrqqXEfZ1xeXs6iRYsYM2YMgwYNYvny5fz1r3/lscceY+XKlXEtmyBYjUT2itZwOp1Ay0D1smXLyMzM5IQTTmixz9SpUwFYvnx57AsoCBYhWT3kww8/BGDEiBEB37/jjjvYtWsXL7zwAoqidGTRBMFyJIOPVFVVccUVVzBlyhRmzJjRal6vryxYsMBve0NDA4sXLyY9PZ3jjjsuZmUVEh/pZiGYigULFvDGG2/wq1/9yrft0ksv5bXXXmPevHlcdNFFbR7j22+/Zd68eSGfMy8vjz/84Q9t5lu7di26rtO7d2/OOeccPvjgA7/3TzvtNN566y1yc3NDPrcgCJGRyF4RDFVVefXVV1EUhVNPPdW3vaamhqKiIkaMGIHdbm+xn3eupy1btkR8bkEQ/EkWD3n22WfZt28fVVVVrF27lmXLljFmzBhmzZrVIu+KFSt4/PHH+dvf/sbAgQPDOo8gCOGTDD7yxz/+kbKyMl8P69a48sor+fe//83f//53vvnmG9+cTwsWLKC6upr//ve/9OzZM+RzCyYk3uP+BCEaLF261DffSbD3Zs2aFdKxXnrpJR0I+dW3b9+Qjvv666/rgG632/Vu3brp8+bN0ysqKvSNGzfqv/jFL3RAnz59ejiyBUEIk2TwimDcfvvtOqDPmDHDb/vevXt1QD/hhBMC7rdo0SId0G+88cZ2nV8QhOTzkHHjxvkdY8qUKfqBAwda5KuurtYHDBign3DCCbqqqr7tyJxPghB1ksVHvPNG/vOf/2xxvkBzPum6rtfW1uqXXXaZ3zntdrv+hz/8QS8uLg753II5kWF3gqkYN25ci21HHHEEYAx7C4XLL78cXddDfoU6LlvTNMDovfDMM89w7rnnkpOTw9ChQ3nzzTfp06cPb731Frt37w7peIIgRE4ie0UgnnnmGebMmcOYMWN4/PHHIz6OIAjRIVk8ZM2aNei6zqFDh3j//ffZs2cPY8eOZcOGDX75br75Zvbt28eLL74oK1EJQgeRyD5SVlbGVVddxSmnnMI111wT0j6HDh3ilFNO4YsvvmDBggVUVFRQVFTEU089xXPPPcexxx5LZWVlSMcSzIn8ugimIicnp8U279woqqp2dHH88A6ns9vtnHXWWX7vpaamMmXKFHRd55tvvolH8QTBUiSyVzTn+eef57rrrmPkyJEsXryYrKwsv/e93lJRURFwf++FngzpFYTokUweAtC5c2fOOeccPvroI4qLi7n66qt97y1btoxnnnmGBx54gCOPPDKOpRQEa5HIPjJr1iwqKip4/vnnQ97nj3/8I19++SVvv/02Z5xxBjk5OXTv3p1rr72Whx56iK1bt/LEE0/EsNRCoiNzPglCM2I1dnrIkCEAZGRk+CYNbn4cgLq6upDPLQhC/OiI+Vqee+45rr32Wo466ig+/fRTOnXq1CJPZmYmPXr0YMeOHaiq2mLeJ+9cT965nwRBSAw6et44gN69ezNs2DBWr15NbW0tGRkZfPvttwDccsst3HLLLS322bx5M4qikJubG3JvDEEQOoZY+ci6deuoqamhf//+Ad+//fbbuf322/m///s//v73vwOwcOFCCgoKOProo1vknzRpku+4gnWR4JMgNOPbb7/lvvvuCzl/3759QzLxgQMH0qdPH3bt2sWePXt83Wq9/PjjjwD069cvnOIKghAnYuUVXryBp2HDhrFkyRK6dOkSNO/EiRN54403+OKLL5gwYYLfex9//DFAi+2CIMSXWHtIMIqKilAUxReoHjFiBFdeeWXAvC+88AK5ublccMEFZGRktPvcgiBEl1j5yHnnnccxxxzTYvuWLVtYsWIF48eP5+ijj/Zbva6hoYH6+noaGhpISUnx2+/QoUOAMdpDsC4SfBKEZlx++eVcfvnlUT+uoijMnDmTO+64gzvuuIOXX37ZN6/C8uXLWbhwIf369WP8+PFRP7cgCNEnVl4BxlC7a6+9lqFDh7JkyRK6du3aav5rrrmGN954g7vuuovFixf7LvoWLlzIsmXLmDJlCn379o1JWQVBiIxYeUhRURGaptGrVy+/7bquc99993HgwAFOO+00303gqaee6reCZlNeeOEFunfvHtbQG0EQOo5Y+cjdd98dcPvLL7/MihUrOO+887jtttv83jvhhBP4+OOPeeCBB3jggQd82+vr63nwwQeBwz2gBGsiwSdB6EBmzZrFBx98wGuvvcaPP/7IhAkTKCoq4u233yY1NZUXX3zRN9ZbEARrsmTJEq655hp0XWfChAk8/fTTLfKMHj2aadOm+f6fNGkSV111Fc8//zxjx47lrLPOoqioiP/+978UFBTIHAuCYCE2b97MaaedxrHHHsvgwYPp1q0bxcXFfPbZZ2zevJmePXvy1FNPxbuYgiCYjDlz5vD555/z4IMPsnjxYo4//njq6upYuHAhO3fu5LjjjuPSSy+NdzGFOCJ3uYLQgaSmprJ48WIefvhhXn/9dZ566imysrI4++yzueeeexg1alS8iygIQpzZtWsXuq4D8M9//jNgnssuu8wv+OTNO3LkSJ599lkef/xxsrKy+OUvf8lDDz3EwIEDY11sQRAShKFDhzJr1iyWL1/OBx98QFlZGenp6QwePJi77rqLP/zhDxQUFMS7mIIgmIwxY8awdu1aZs+ezdKlS3nyySdxOBwMHjyYBx54gJtuuqnFcDzBWii69wpXEARBEARBEARBEARBEKKMLd4FEARBEARBEARBEARBEMyLBJ8EQRAEQRAEQRAEQRCEmCHBJ0EQBEEQBEEQBEEQBCFmSPBJEARBEARBEARBEARBiBkSfBIEQRAEQRAEQRAEQRBihgSfBEEQBEEQBEEQBEEQhJjhiHcBkhFN06isrCQrKwtFUeJdHEEQYoSu62iahsPhwGaLbqxefEQQzI94iCAI7SVWPiIeIgjWIJbXIuEiwacIqKysZM+ePfEuhiAIHcSRRx5JSkpKVI8pPiII1kE8RBCE9hJtHxEPEQRrEYtrkXCR4FMEKIrCsccey549e8jOzm7xvq7DutVfo2kamVnpMSuHrumUVlRSkJuDYjPnEwvRaA6SWqM9NSZPCdrykY5CVVV++uknjjzySOx2e8zP53a5+HbtOhwOhbT01JifD5K8/oWIaExgxEOSnlhprKup4ttvvyMzw4HTGd8bgqRtX2GQ1Bpj4COJ4iEgPmIG2qOvpqqc9et/JCcrBbsjccMT4iHtJ3G/3QRGURRqamqw2WwBG5euN8kby3LYFDrn58bwDPFHNJqDZNXobcqx6I7elo90FHa7nREjRnTY+bQmWjvqZztZ6184iMbERDzEHMRKY9MbgXjfxiRj+wqXZNUYKx9JFA8B8REz0B59NpvNV9Hj7YWtIR7SfuIf/hIiRtN0DhaXoml625mTFNFoDqygMVlRVZV169ahqmq8ixIzrFD/RKMQL6zgIVbQaIX2ZQWNyYoV2pjZNZpdH4iHRAMJPiUximJEmRMgiBkzRKM5sILGZCY9PXbDgxMBK9Q/0SjEE7N7CJhfoxXalxU0JjNmb2Ngfo1m1yce0n5k2F0SoygKnZKw6184iEZzYAWNyYrdbmfo0KHxLkZMsUL9E41CvLCCh1hBoxXalxU0JitWaGNm12h2fSAeEg2k51MSo2kaRQdL0DQt3kWJGaLRHFhBY7Li8XhYvXo1Ho8n3kWJGVaof6JRiBdW8BAraLRC+7KCxmTFCm3M7BrNrg/EQ6KBBJ+SGEVRSEtNSYjJw2KFaDQHVtCYrCiKQn5+vqm/GyvUP9EoxAureIgVNJq9fVlBY7JilTZmZo1m1wfiIdFAht0lMYqikJ8b36VRY41oNAdW0Jis2O12Bg0aFO9ixBQr1D/RKMQLK3iIFTRaoX1ZQWOyYoU2ZnaNZtcH4iHRQHo+JTGaprF3/yFTd/0TjebAChqTFY/Hw8qVK03fTdrs9U80CvHCCh5iBY1WaF9W0JisWKGNmV2j2fWBeEg0kOBTEqMoClmZGabu+icazYEVNCYrNpuNXr16YbOZ9+fACvVPNArxwgoeYgWNVmhfVtCYrFihjZldo9n1gXhINJBhd0mMoijkZmfGuxgxRTSaAytoTFZsNht9+/aNdzFiihXqn2gU4oUVPMQKGq3QvqygMVmxQhszu0az6wPxkGhg3tCkBdA0jd1FB03d9U80mgMraExWPB4PK1asMH03abPXP9EoxAsreIgVNFqhfVlBY7JihTZmdo1m1wfiIdFAgk9JjKIo5Odkmbrrn2g0B1bQmKzYbDYGDhxo+m7SZq9/olGIF1bwECtotEL7soLGZMUKbczsGs2uD8RDooEMu0tivONOzYxoNAdW0JiseMfomxkr1D/RKMQLK3iIFTRaoX1ZQWOyYoU2ZnaNZtcH4iHRwLyhSQugaRq79u43ddc/0WgOrKAxWfF4PCxZssT03aTNXv9EoxAvrOAhVtBohfZlBY3JihXamNk1ml0fiIdEg4QMPm3atInTTjuNzMxMunfvzq233kpDQ0Ob+1VUVHDNNdfQuXNnMjIyOPnkk/n222/98jQ0NHDrrbcyYcIEMjMzURSF4uLiGCmJLYqi0Kkgz9Rd/0SjObCCxmTFZrMxYsQI03eTNnv9E41CvLCCh1hBoxXalxU0JitWaGNm12h2fSAeEg0SrnaUlZUxefJkGhoaeOedd5g9ezbPPvsss2bNanPfiy++mHnz5vHII4/w1ltv4XA4mDx5Mrt37/blqa2t5bnnniMtLY2TTjopllJijqIoZKanmboBiEZzYAWNyYrNZqNr166mv1gwe/0TjUK8sIKHWEGjFdqXFTQmK1ZoY2bXaHZ9IB4SDRKudjzzzDNUVlby7rvvMnXqVGbMmMEjjzzCM888w759+4Lu99VXX7Fw4UJeeOEFZsyYwVlnncX777+P0+lk7ty5vnx5eXmUlpayaNEiLrrooo6QFDM0TWPH7iJTd/0TjebAChqTFbfbzccff4zb7e6wc+oddiYDK9Q/0SjEi3h4SEdjBY1WaF9W0JisWKGNmV2j2fWBeEg0SLjg08KFCzn11FMpKCjwbZs+fTqaprFo0aKg+61btw5FUTjttNN82zIyMjjppJOYP3++X16zRCsVRaF7lwLT6AmEaDQHVtCYrNjtdsaPH4/dbo93UWKGFeqfaBTihRU8xAoardC+rKAxWbFCGzO7RrPrA/GQaJBwwadNmzYxdOhQv215eXn06NGDTZs2Bd2vvr4em82Gw+G/gF9qaiqFhYXU1dXFpLzxRFEU0tNSTd0ARKM5sILGZMVms1FQUGD6btJmr3+iUYgXVvAQK2i0QvuygsZkxQptzOwa26evo/vER4Z4SPtJuNpfVlZGXl5ei+35+fmUlpYG3W/w4MGoqsratWt92zRNY/Xq1ei6Tnl5ecRlcrlcVFZW+r0AVFX1/Q2U1nUdXdd9ZWlvWtd1v7TH42Hbzr2oqurr/ufNE3nae07/dDR1tKapebk0TWNr4R7fyglm0NQ8raoqWwv3+PYxg6bm6dDqauJpQo/ej2GkPuLxePzS3rIFS7vdbr+0V7c3reu6X7q2tpYPP/yQhoYGX1dpTdP80t72FyytqqpfOt7eKD5iDk2m8ZEoIR7ScZq8Zfem3W43H3zwge9BZjQ1JUp7Ew9JXE3RuhZJVA9p2sZqa2t9n4+ZPMT7+X/wwQe+Y5lBU9PvKRR9wTU1bRviIYnqIdEg4YJPkTJlyhQGDhzIzJkz+f777zl48CA333wz27dvB9o31G7OnDnk5ub6Xr179wbg+++/B2Djxo1s3LgRgA0bNrBlyxYAyquqKa+sBqDoYAmV1Yah7j1QTE2tcQGzp+ggtfUuAHbuPUC9y1jVb8fuIhrcRuPcvmuf7wJl+6596LqOqqoU7tnPET264vGo7NhdBEC9q4Gdew8AUFvvYk/RQQBqauvYe8BY1a+yupaigyVGGSurOVBcBkBpeSXFpUa6pLyCkvIKAIpLyygtN36gDhSXxVTT9l3GvF4Nbg87dhehKApdO+ezu1GHGTQ1/57qXQ04HHYURTGNpubfU9HBEo7o0ZXqmrqk0xQtIvWRdevWsWPHDgBWrVrlW0Bh5cqVFBUZ5VyxYoVv1c4lS5b4gu2LFi2iqqoKgAULFlBfX4/H42HBggV4PB7q6+tZvHgxJ510EnV1db6hzeXl5SxZsgSA4uJiVqxYAUBRURErV64EYPfu3axatcr4fHfsYN26dQBs2bKFDRs2tKqpsrqK6sbvTHxEfMTsPhItxEM6TtOCBQsAqKqqYtGiRTgcDkaNGuXTES1Nm376ibp6o97Fu72JhyS2pmiQqB6yYMECHA4H48aNY+nSpYD5PASguroah8OBw+Ewjaam31N5eTmpqak4HI6wNW3bXkhtvdGWEqG9iYfEDkXXEygUBnTt2pUrr7ySOXPm+G3v1asXl1xyCQ8//HDQfb/55hsuvvhiXyMcOXIkU6ZM4R//+Ac1NTU4nU6//C+//DJXXHEFhw4donPnzkGP63K5cLlcvv8rKyvp3bs3paWl5Ofn+6K2dru9sRLAutVfo6oqWVnpKIqCpmkoitKuNBhRzKZpm83mi3RGJw02m+KL1HrTikLUdIgm0ZRMmnCkMWzYsHaPYQ/XR7xpj8eDoii+tM1mw2azBU273W7sdrsv7XA4UBTFlwbjyVfTtNPp9D3RcTqdaJqGqqq+tKZpOByOoGnvj583HUiHN615PKxetRqnQyEjI03qp2gytSbFZgN7qnhIFD3ETJqqKkr59tvvycp04rA7pL2Jpphei4iHiKZE1VRRVsz6b38kNycVm80e9/YmHhI7Eq7n09ChQ1vM7VRRUUFRUVGLuaCaM27cODZv3sxPP/3E5s2bWb9+PXV1dYwbN65F4CkcUlNTycnJ8XsBvi/PbrcHTHsrBxjjYNubVhTFLw2wtXCPr2J5z9m+tPec/ulo6mhNU/NyaZrGtp17fd+FGTQ1T+u6EbH2mogZNDVPQyh1NfE0oURvTHekPuJwOPzS3rIFSzudTr+0V7c3rSiKXxrgvffe811IeD+jpmnvhUewtN1u90vH2xvFR8yhyTQ+EiXEQzpOk7fs3rTb7fZbvCaamhKlvYmHJK6maF2LJKqHeNvY+++/7yur2TwEjGFmCxYswO12m0ZT0+9JVVU+/PDDVvUF19S0bYiHJKqHRIOECz6dccYZfPLJJ35zNL311lvYbDamTJnS5v6KojB48GCOPPJIiouL+e9//8vVV18dwxLHD0VR6HdEd18lNCOi0RxYQWOy4nA4mDJlSovFGsyEFeqfaBTihRU8xAoardC+rKAxWbFCGzO7RrPrA/GQaJBwtWPmzJk88cQTTJs2jTvuuIO9e/dyyy23MHPmTHr27OnLd8opp7Bz5062bt3q2/bQQw8xaNAgunXrxubNm5k9ezbjxo3j8ssv9zvHwoULqampYc2aNQDMnz+f7OxsjjrqKI466qgO0Rktov1kNRERjebAChqTFTNfKHixQv0TjUK8sIKHWEGjFdqXFTQmK1ZoY2bXaHZ9IB7SXhLu08vPz+fTTz/F4XAwbdo0brvtNq666ir+9re/+eVrOlu+l7KyMm6++WamTp3KnDlzuOSSS3jvvfdaVJLf/e53XHjhhTz11FMAzJgxgwsvvJA333wztuKijLeLtK4n1LRdUUU0mgMraExWmk4oaVasUP9EoxAvrOAhVtBohfZlBY3JihXamNk1ml0fiIdEg4SbcDwZqKysJDc3l4qKCt946aboOqz5aiWappGVlR6zcvgmNG0y74LZEI3mIFk16hC1yYKb05aPdBTeiSO9E03GGrfLxZrVa3A6FNLTU2N+Pkje+hcOojExEQ8xB7HSWFtdwdq1G8jMcJDiTInacSMhGdtXuCSrxlj5SKJ4CIiPmIH26KuuLGXd2h/IyU5J6N5T4iHtJ+F6PgnhoWlavIsQc0SjObCCxmTFzE+pvFih/olGIV5YwUOsoNEK7csKGpMVK7Qxs2s0uz4QD2kvEnxKYnRdp3DPflN3/RON5sAKGpMVj8fDokWLTH3BYIX6JxqFeGEFD7GCRiu0LytoTFas0MbMrtHs+kA8JBrIsLsISJRhd4IgxBYrDJnpaOIx7E4Q4oV4iNAaiTTsTkhcrDDsTrA2yTLsLllJpGF38u0mMbqu0+D2kOI059hhEI1mwQoakxVd16mqqiI7O9u0340V6p9oFOKFVTzEChrN3r6soDFZsUobC0VjdR3UujqwYFFC13XqaqtIzwj/O6yuim9AJFTEQ9qPBJ+SGF3X2VN0kP69e5i2AYhGc2AFjcmKx+Phs88+Y8qUKTidzngXJyZYof6JRiFeWMFDrKDRCu3LChqTFSu0sVA17i2G3Ycgzh1UwkbXPFTt/ozs3lNQbGF+hx47umrHriT2gCzxkPYjw+4iQIbdHeZAVQbB5l1z2jU6Z9X7/j9YlY6qBW6oDrtOl6w63/+HqtPxqIHz2m06XbMP5y2uTsOtBp6+zGaDbtm1vv9LatJo8ATOqyjQPedw3tKaVFye4M7fI/dw3rLaVOrdwfN2y6nF1iinvC6Fuobgcd+u2bXYG4tYUZdCbSt5u2TX4bAZTbiy3kmNK7jZd86qw2k38lbVO6luJW+nzHpSHMYXW+1yUlUfPG9BZj2pjXlrGhxU1gUfOpCf4SLNqQJQ2+CgopW8eRku0hvz1rntlNcGH6KVm95ARooxxrzebaeslbw56Q1kNuZ1eWyU1qQFzZud5iYzwyZDZqKIDLsTrIQMuxNaQ4bdCaEgw+6sxY87obQK8rPjXZIOxF0JpSvBmQfhBq6ENpFhdybhx52QFcQYPJoNG7GdDV/XdepdDaSlpsQt+jpv/SDq3IFNolt2DRcfs8n3//zvB1JVH/hmsyCjjkt//qPv/4U/9Ke0NnDgLjvNxZXHfe/7f/GmfhyoygyYN93p5toTN/j+X/JTH/aWB/7SHDaV6yd+6/t/xdbeFJbmBswL8IdJ3/jSK7f3Ysuh/KB5fz9hLbbGwM/XhT3YuL9z0LzXnLDeF0j5Zlc3NuzrGjTvFcd+R256AwDr93Tlm93dg+a95Gc/0CnTCAZ+X9SZrwt7Bs170biNvkDcpv0FfL79iKB5zx+9md751QBsPZjP0i19gub9xcgtDOhcCcCOklwWb+oXNO+Zw7dxZNdyAHaX5bDghwFB8542tJDhPUoAKKrI5L3vBgfNO+nIXYzqdQiAg1UZvP3tkKB5JwzazZh+FUHfT2YOlMGhCtB1DVdtOakZeShK7Neg8LgVVM2Gk4577pEIXhlrRKMQLzRNo7y8nLy8PGy2+KxjU1MPOw8S9GFYe4mVT7pdDlQtMdb+sUL7soLGZCURfKQ5ug7b90NdlIbAheojdS7jgXiyoesa9bXlpHXQ9WQ8EA9pPxJ8agcVtRCkEw2KrpCZ4gYCB1A03TA1X36MXjpgbNdauS/z5tV1naKDpfTu2Z1gPt30uABqKxdm4eT19szJTmvAaQ+cMTPV7fd/dmoDwZppVmpDs//deDQboOPxqDgc9sYStsybmeomxx34lyHd6b/iQmaKm5y0wHkdNn8dGa3kbXGeNvI21Z3h9DTL669RadLlNM2ptnpcW5O8qWHkTXO0ntduO5w3pY28jpDyGhrtino4r7314zatV05b63lT7IeP67Droee1tZ431aEGfS/ZqayFXQchO12lfOdq8vpORumICz4NbDat8bPtmJ5Puq6z/1ApfXt1S5iLhea/Ac2xKYcvPkPJ69XYp2e3Vq9amx63rd+acPIqCr7enbHKq2k6+w6W0adnt4C/eTErA+H/PnvRNLAl2dCJcFFVldWrVzN58uS43TTWuaCoBFJj1HlI12Lkkx4Fp03FmQD3aYnok9EmETR6PSRcLzY7ieAjzVE1KK4wrpei0VE7VB9RgMzgnfITFl1T2V+4mr5DJ6PYE+M7jDbR8hBNw/cINtzrvUiu4TrweW+byLC7CPB2U/3quwqysoN0Uy1eDroKzpY9ZzbtL2Dxpr6o+uGGObxHMacN3QkYQ4Ge/mxM0PMf2bWUM4fvAIxK949l44LmHdCpnF8cvc33/xPLxwR9ytY7r5Lzx2zx/f/0Z6NweQLHJ7vnVDN97GZL/CAK1iXeQ2ZUDVwNAd/yla+kMrInZKVVUFkDBR3d015rgJLPQHGCI3CPxaZsL85lZ2ngQg7rXuLroXeoOp3v9wXvUTikayk982oAY0jt+r3BexQO6lLm681XXpfCut3dgubt36mCfp2M3nxV9U7W7Are+7BvQSUDOhs96dbu6sqKbb2D5j1v1E/0KagCYMPeziz5qW/QvOeM3MrAxuNu3F/Axxv7B817+lHbGdqtDICth/L44PuBQfOeOqSQET2NHoWFJTnM2xC8R+HEwbsYc4TRo3BveSZvrRsaNO/xA/bys777AWM49n/WHBU078/6FnH8gH0AlNam8urXI4LmHXPEASYO3gMY38ULXx4dNO+Inoc4dcguwBiq+8zno4PmHdqthNOPKgTAoyk8uXxs0LwDO5dxzsjtvv+f/mwUM0/eZMphd7oOdQ2EdVHr0aC8OvpP9Strjd6c3YJ3QE5MPDVQ8jk4s8AW37vNg1Xp/Li/E7pufDmjeh2kINN4OLO3PJOfDhYE3XdEz2Lf1An7KzPYuL9T0LxHdS+hW6i+3a2UnrmGb5fUpLFhb5egecPx7QGdy+nb6K/h+HZNg4NVhT2C5j0ir4rBjT226912vtzh38O8zu3wfY6/GLnVd9wf9xewqBXfPmv4Ngb1qLP0sDtNh/oweiDVuKC+leunUPCohq847NEJPgmH2V8GKQ4oaByMsu9gDZu3FYMtFQL0mhreo9g35cqBqgx+LAruMUO7lfimRimuTuO7fcF948iuZfTKM3yjtDaV9XuCXxsO7Fzuuy6rqEthbSse069TBf0brw2rXU5W7zzsMTtLcyivO+z3F47Z7CvDuj1dWN7KCJJpR2/xXXN+v68Tn2zuFzTv2SO2MahLOQA/HcxjcAw8JBKk51McKCzN8Qs8RYqu69REqy9omDhtWocEnnRdp7beRUZaqqmfxIlGIRAHymDH/tafgjR4jCcoYT9kUiA73egmXVtVTEZ254TrJq3r8NGP/WlQA/9Q9sip8QWfKupSWg0o5aRU0iNXR1EUqlyt581Nd/luYmpdzlbzZqa4fRcCdW5Hq3lTHKrvZiPaeNtYq5Ul2TGztiSkogY274EGt4a7rhhnemgeUt9g9A6L9i9BagynCUlkn4wWn207gt1lhwMQAzuX+4JPJTXprXpbn/xKX/CprDat1bw9cqt9waeKutYfBHTJqvUFn6rqW/ftvCa+XdOmbzf4gk9t+XZqE992eeyt5rUpui/45FZtreYV/NE0jeLiYjp37hyw51NxBWzdF97Q2qo6SGunLyhK9B7Smd1HwtG3fAOMG2z4dmYalFXZWL8/+EO2I/KqfMGn8trWfaNbTo0v+FRZ33regsw6X+Cnpo1rw5y0BnrnV1Jb76K2IaPVvOlOjy/4VO9u3TeshgSf4oCnsefRSQP3MLxHMdBsmJNdY+aJ3wbd3zt8Std1SkvLueb4tUG7qNqarRpw9fEbAuYLlPeKY78PkrPjhiPpuk5JaTnpPbqaNmghGoVgaJrx9K5r8KnHUBTjqVzE51A1SvZ9T/rgCQnXTVrTjeGvDXV2xhxxgJRmvtOpySIFBRkuft5vX8Dj6LqOQy1C19NQFIXc9OB5Abrn1PjSWWkNrebt2XjRAkYgqrW8vXIP5z261yGOapynLBDOJsNDj+pRwpFdy1rJq/na2MBuqcxsnFctWF4v/TtVtPpb42iSt3d+Zet5mwxb7pFTE3Lezpl1IefNSavn7IEf07Nbl4C/efYmebNS3a0et+lvbqpDDTmvXdFD+n32YvyOmvNSS9WMuZbyMjT27/2evAETsIXgITmZEQTL44yuJa5PRgvvQihDuxWTm95ATvrhh5vdsmtb9bb8jMOLy3TOqms1b+fMpr5d32reLk0Wl8kLw7ez0wJ7sa7rVFbV0CPnsL+G49vpDk/IZUhxqAHzKhg9r7xzcILR+2JAp+APJgzfNveE9Jqm8f333zNhwoSA/q42Xg91CSMQlJeVWHMnmd1HwtFX64Jl6+HMnxnBpy65Kj8/YivY0wL2fCpo0l46ZYbuMXlteEzTRaly0lr3mB451b5rrdyCzNZ9I6/Kl05PaekbqQ6VYd1LUPC/3hvZo5hh3UqDHrdp3qHdS309mwLnPXxNZPSOTwwPkWF3EdDeYXfz1g+isDTXb5JkQRASj3gPu9t1ELYVQde8qJ46KnhU4wXGjaSz8f5a18HlDr6fnQacFcawO92e2eqKknabHnROOUFIBuLtIbGkuAK+K0xMf0oE3J7gc2c67I0PDTw1aMVf0GDLASXwsDuHTcPRuGCJpkNDK54ZTl67TfOtgKvr8M/PR1HvcTB97CZfbyMhMZDV7qCoFDbtFr+JBE0zeskHw+dHNPpGK9dwTfO2eb3XyrXhK4uNYdu/mQxdcpHV7mKMrHZnEooroU6DvMzDjaum3ojmUp0JugZO/wnHc9NcDO5aRkFmnV9kNhJ0Xaemto7MjHTT9iYRjebAChrbg8sN+0tbTp1S3T6LaJNaF1TXadRVHyI9q0uLbtK5GZDSeA1Q54LqxgdPJZXw0ZrD+UYNgEmjDh/zuYXBz3lUHztTGoezu1Vbq3PtDO5aylmN89u1ByvUP9EoRBO3x7jZa20y0+o644ZC1zVqKorIzO2R8ENJKmsNv+2Uc3gSZ++2YBRkg00xNGopPXC5g2vMzzJuzDbugkXfBJ8Oa8IIGNs4hdqB6hz++92xQY95XP+9/LyfMUdaSU06/14dfI60Y/rs58SBew1d9Sm8/NXIoHlH9zrIyUfuBqC2wUF94xyfTpt5F9oQD0lMPCrsPaRRVlpEbn6PgJNxx/p6qCNo7pUeFcqqDY/xdhSqrmucSy8IXo+BJvecbeQ9VAGvLwue7+dD4LhGWymvglc/DZ537CCY0GgrVXXw4sfB847sD6eMNtL1DfDPBS3zpCRZJEI8pP0k2VeeWLy5AlLS4NeTDkfif9gJK38EOCbgPheO2Ry13k66rlNWWU1GepppG0A8NZbUpHbIEsi6rlFbWUKNmp/wF+6RkqwaFXQ658W2c+im3YaPlFQ2zoPSrJpnBV4wMyps3AWffW8DAk+aeP6J0Ltxnsaf9sLS9bErSywRrzQHsdYYC8/vCA9pD6VVcKC85XRaDW7jpkjXCbqaLkBaijHUouzgNjKyuyX0UJKt++CDr430788BW+MV8Fcb4cddwfe75kxIcxgaf6rpwXeFwfNeMQVyM43PLT/b+HyTieyUanLT64j+jFyJgRV8MpHZVwLlATrVNbihvEqjqmgbZQ3dgq4El5Hkk34398rXlxnXfleebszBCbBmC3y7LfgxLjvV8BYw8q3+KXjepveniUiX3MO6DRL3t9KLeEj7keBTO0hxGEbYtO45G7ehNYaim91oN58Poj3YbDZ69zD3BGbx1Khqdrrl1FDQZC6DmNEjEyiP/XniSRJq1HQodeXF9BylVZCpG0GmaAaafigEd5AH2OmpMOSIJn4VhKaLCjjt/nkddqO3U5+u/rcpGalww7nBj6loKpR5j6lxw8S1wfNG6ULETF4ZbBgP2OjZrSt6q3mSndhq9Kh2euTW+M1f0146wkPCwdPMEyproXB/YO9JS4GcjFCO6qD3kROiUbw2aXC3HijqlHM4YO5R4fvCw+/tMDoP4Ww24iDF2boPKoDNbmjc+UMbeRvN8Ki+MLR38FuppteN3bMquOGklUFXu1OaXDd2zqwL2TNz0xpCzpuR4uGGiWuxKbqpb6jM9FuQ6Ghay56Thypgb0nzgINBSoqDAUd1jI9EC1WD71rpnJ2XBf0an+3pOmwodIB9AiWFxmdT0jg9o9rEl1PbuC4LeM8ZBG8Mr2teG9dlTdL52aHnzU4PPW9aSsu8NiWx5uQKBfGQ9iPBp3ZwymgY2Wzl6TEDjRfFXwWd8yla6LpOZXUtOVkZpr1YiK9GnS5Zdb4VXGKFpunsPqTSu4sdW0csIRgHklWjqikxv3HMz4Ks7Ogfd+VGo0t2ILrkGsGno/vDyL4alWW7ycnvHfRpIxg3U0cFX4jEh6KAPcSv2Mgb+yddZvHKiroUGjy2gBdruq7T4KokJTUnqTW2Rqw1pqd46JFTQ15G9FaR7QgPCZWD5VB4oGUvp/TUw8tdR4KuheYh0cDlhmXB101hZD//4FOgvMcOOzxVAsDJRxuv1vBqPGFYb04cHprGUD8KRWmc1N7WtheG45nh5rWhmcInW8MsvwWJjttjjARpPpzV7TGueQIFtXVNo6KkY3wkWqhBPMbLkb2aBJ8InDfVaQSpvBx31OEhcG3xsyHGqy3Cvy6LLG9rvwXhHDeREQ9pPxJ8ageOOHujrutU19SSnWnecafx1hitnhetoemwt0SlV2c7yfFzGz5W0JgIqNrheQMGdIf6IPOYNL3w03WN6vK9ZOf1QjHptxNvH4kWqqaQn+Gif4DV7FRV57sdtYzs5cJuhiu8AMRao4JOZmork/8kOW6P0dOyU7N5hfOzAucPlVh7SGkVVNQYw9nSU2Bwr+B5mw4xsdla5k1zwrA+4ZdBfNIcWEFjIuBdCRMOzxsJkJpi9IAJRLK0MVUzvDTVGdhjmtKj4HBaAQb31KirKSU9s8A3MmZwz9iWtyNJlu+wPYiHtB8JPrWDOE8Wj81mo1f3LvEtRIyJt8aO8BWHXeH4o5J8IHsbWEFjtDlQZsy54iUnA3p2MtKaDj/tabnPx2uMi6EZU+GUMaGdx2Z30Gvg8e0vcAITbx+JFjoK6U4POWmBZyOdMMIJmDd4AtbQGCt03bhhisa8KZW1xvwtBg5IOZ6qJitJ9ygwgkVgTKC7pzj4sbrlHZ7DpNZlrPLZlG37YMu+w5PXnvWz0MqY4gg9b1uIT5oDK2jsKMpr/IeLNaXOZfhNZnrrE0prOuw+ZOQHB32POB5b471VaZXRWzMYvbtAZuNI1bJq45oJjODQhmZD4S4++XD6ix9g16Hgx73wpMMTen+16fBwXS8Hy4xeTNnpxlxNoXqMosBZP7cBnUPbIQkxo0+qGtQ0OGk6iDA7rxfVrUwKn6hkZ8a7BAYSfGoH6XG+l9Z1nfLKatxK5xZzS5kFXddoqK8gJS23wyeqTrGrfnMtxApV09mx30P/7g7sSTQkLRysoDGaVNW2XJlkWO8mwSfNf7W5pqhaeKuH6JpKefEO8jr3R7F1bERd1RQOVqUbQ05iSDx9JNoE+6ys0MasoDESauth60HDF9oiWp/agbLgHgRw2tjDwadDFa3nPfnow8Gn0qrgeVPjuPp2PH0SYH9lRlTnDA2EmXwyGMmqMR4LF2za3foKcw0eYwWzwMPAjVdOGze72/fBB6sO/3/m0bsZ3L8nis3Ojv3w2ffB9z3/xMPBp92HYMm3rZ/LS3nN4UBVIJoOS65oJW9+BEOVo+UjHhUOlce/E0RzdF2loXIHKTn9UZQwC+exQXUOODMh3H1jTEaKmxS7EWnVdZ2q6iqys7KTsOdTHH9EmyDBp3bQ3q7q7UXXdepdDdjS4Ii8Grpk1ca3QDFA1XQ276plSC93h99sKEB2kB4G0UTXoaxK840LNyNW0BhNqhov+Bz2w922m87JoiiH5zVpTp+u/vOZtIWOTn1NGXrnfh2+vpGqKaQ5Vfp3qiAjxRPD88TPR6JNujPw52SFNmYFjZHQoBoB6xSn/yIBgciL0nVLeuphDzJu6KtJScvy3dBnNpk7Oy0luF+B/2Tnqc7AeZ0OGB7BcLloEU+f1HVjsZp+BZVRnY+sOWbyyWAkq0ZNVyiqKWg7Y5TQdcNTKmuDL4TisBvDXNtz/13ReNuSkQoF2RpaQzk6PYzr74zWfaNpMDorzT+vgv/iA005ZrDxMC8YTRfsHDMw8LA4RTn8MDAcouUjqmZ48IAewYcxxgNV1dn8YxlD+vcLPzDW4IYDOyG1K9gSI0jiJdWh+q5RParOuq0NHN2rHkcSTXGgagobi3vEuxiABJ+SGpvNRo+unThUZSMvvZ78GF6UxJPORzmAJOzfGCIOu8L4IeYekmYFjdHEu0pdXqbxdK85dlvg7ZFgszno0X98dA4WJjrGE92CzHrSnUH670cJ8ZHkxwoaI0HXjeEr2emxHSr+w05Y8R0M7AFTxsERPg+yATlB9+tRELpfdcmNnrdFk3j6JIANnfzMevLSY+thZvdJSE6NqqZQVNNx59P1xqFlGf6B5GjjbnyWMrAHnDLGBoz0vXdkL+MVCgN6GK9Q6JYfevm65vnPI9deouUjum54fX5WYgWfwEHn4yLU16AZ0c60erAl7pK9ch3SfpKnz6nQAl3XKSmrQNMTt5G2F1XT2bTbjdp8vVYTIRqF5ngaL8gcHdDzWNdUSoo2oWuxDf4EQ1GiNxQoGFaof6LRuniHicR6BECD21i9ytPskiPeHtIRxFOjbkTpxSejgBU0thddN3rWNF8VMxrsPOD//9bGeeKcDmv5iKaqaI0PDSJ5eYNPiTbqS1VVNm3ahBpsMjATIB7SfqTnUxKj60ZDJ7GGxkYXHeoaGh/BmBXRaHm+2wGf/2A8xbroZONp44i+bc+XEA10QHXXNfZCahtNh/LqdlyYakBtJuDARTqZKe7YX0BZof6JRstysLx9N4oe1Xh5cTqM3pXl1fDvpYe3e+eUcja75gjXQ5KRQBpVzZgTpl036api+KEjHWyBn6ZruoKCHvvP1grtywoaI6S82pjjqbjSmM/J5Y58cQKXG4pKjUVQvMFqby+nP/zycD7virypzuTzEU0z5o8Kp/3rGlRV1+FOAUc778Az09oeZh0P6upamSjMDIiHtBsJPiUxNptC184FHKwybwc2u11hzMCE6lMadUSjsGl3Y4+CxhvArnlw6tiOObfNZqdrnxCXxsPo/WBTjLljwplbyocOqJVgc4BDxWnTcNpi+5TMCvVPNFqXQ+WQHXzUW6tU1sK/lxj+4+WCk+CIzkZTdQeYYqx7s2Er4XpIPKlvgMoaIri7tUPOGIorD29xuY1J1fOz2nETqGqgVoBDA3vwVRztCqQGme8tWlihfVlBYyTsPAgejEC2ww4ZacZwrkiHdH24quWqlV4KD+Cbt29EPyPoNaxPYvhInevwnJtt4W3/eZn+80S1jp0encbgtENBhJ7tO5ItwmuwGGK32xkzJjl+CyJFPKT9JFi1FcJB03RKyivQ7eYde6pqOht3uRnWx5lUk0OGg2i0Ntv3H77YGT+k48+vaSolRRvp1GMYthBXX7HZYPAR4a2q50PVgUNgS4EY30z5TmmB+icarUvnXMhqZeWlmnqjF0Lzybx3HjCWHHcFiXnkZMAVU/y3Oewt54CJxEPiRZ3LCJx3zg1vP01T2bdzIz37+mt02qF7e+aBdqvAQUhxgz2jHQdqP1ZoX1bQGAnb90FuHnTJC21VybJqKKlsuT0/y5jouylTxx2enNtu85/A/Nihh9OJ4CO1LmNxl4IQV7Jz2I1gfKi9t1VVZePGjQwcNgx7oi1VFwW8+oaZVB+Ih0QDCT6ZAan7gpC0fLQGUhpv5vKiNMyurMroNh/KBZGugctl9J4IZeVpXTduSuU3VxCSg7c/h9Iqo0flrycd3v7pt0bPJ4Ajj4DTjzHS3qZttxlP9juCkipjrrtYD8HVdeia1voqWoFQVag6ZPQIM+k9lWBhFJsx2X8ouNxGb0lPgA7L4wbDSSNg2vGNx6Xj5iU6VG5MC9Ce8+mNCzeE6w+CIISOBJ+SGJtNoUtBnrmH3dkURvQzd/dG0WhtuudDarrxpK1LXnSO6VaNFV2aD48JjB0YEdbxHfaOmQw9Wlih/olGIRjeAFN+lv/2rnlGLya7DUYPiDygbLPZ6dIrPA9pjqoaPYi65bXrMCGRHkFncbvdzogR7dOY6FihfVlBYyQ07Y3UFnUuI/Ck0LLXX05j571IvKS9PqLp0KszdG7ncLZYru5ndh8xuz4QD4kGEnxKYjRNp7i0DD0lxPVFkxBV1dlQ6Obofk7sdnN2tRCN1ua8E1ofMhMRjb2Tmnd/D4SqqmzYsIGjjz7avN2kLVD/RKMQDO+EuCcO999+9s+jc3xNUynes4HORxzdruEygYbsJArik+bAChojITWMu0FFMQI8Djv8amL0ytBeH1GUxPYQML+PmF0fiIdEAwk+xYJYrE8aAEUxoswqibfcZtRQID2lA9YYjieiUYg2YX7O6elhPPZMRqxQ/0SjEATvKnW2GHWSVgC7M930X4v4pAmwgsYYk5sJvz0l+seNho8kw72Q2X3E7PrEQ9qPBJ+SGEVR6JSfa/phd0N7hzD7YRIjGoV4YrfbGTp0aNsZkxgr1D/RKARCb7IidKzmaVNsdjr1MLmHiE+aAitoTFbER5Ifs+sD8ZBokJBRi02bNnHaaaeRmZlJ9+7dufXWW2loaGhzv4qKCq655ho6d+5MRkYGJ598Mt9++23AfFdeeSUFBQVkZ2dzwQUXUFRUFAMlsUXTNIoOlqDrWryLEjM8qs7qzS48asf0JosHolGINjqhP5TxeDysXr0aj6djVp6LB1aof6JRCITW5KOKVa8ATfNQtGM1mmZiDxGfNAVW0JistNtHkuArNbuPmF0fiIdEg4QLPpWVlTF58mQaGhp45513mD17Ns8++yyzZs1qc9+LL76YefPm8cgjj/DWW2/hcDiYPHkyu3fv9sv3q1/9ikWLFvHMM8/w73//m82bN3PGGWckXWNRFIW0VHNPeqYokJ9tS4qutJEiGoVoE87HrCgK+fn5KCb+cqxQ/0SjEAhdN1Zu6tXZmFg8FigopGXmo7RjHIJCYo9iEJ80B1bQGGsOlsPLi+CdL6J73Hb7SBJ8p2b3EbPrA/GQaJBww+6eeeYZKisreffddykoMJZR8Hg8XHfdddxxxx307Nkz4H5fffUVCxcu5P333+ecc84BYNKkSfTv35+5c+fy+OOPA/Dll1/y8ccf8/HHHzNlyhQAhgwZwrBhw3jnnXeYPn16B6iMDoqikJ+bbfphd4N6mrt7o2gUYkKIP4x2u51BgwbFtixxxgr1TzQKgXDY4fwTY3sOxWYnv2v7PESHhL55FJ80B1bQGGvcHiivif5xo+EjCWwhgPl9xOz6QDwkGiRc1GLhwoWceuqpvsATwPTp09E0jUWLFgXdb926dSiKwmmnnebblpGRwUknncT8+fP9jp+Xl+eXb8iQIYwePZoFCxZEWU1s0TSNvfsPmX7Y3cofzd29UTQK8cTj8bBy5cqk6/kZDlaof6JRiBea6mHvtpVoauQekug3jeKT5sAKGmONdyhvtBcwiIqPJLiRmN1HzK4PxEOiQcIFnzZt2tRisrK8vDx69OjBpk2bgu5XX1+PzWbD4fDvzJWamkphYSF1dXW+4w8ZMqRFl8Bhw4a1evxERFEUsjIzSPzLtsixKdCrkz1mE6UmAqJRiCc2m41evXphi9VSWAmAFeqfaBTihaLYyMrrhaK0z0MS+WsVnzQHVtAYa7wLekf7M4yWjyQyZvcRs+sD8ZBokHC1o6ysjLy8vBbb8/PzKS0tDbrf4MGDUVWVtWvX+rZpmsbq1avRdZ3y8vKIj+9yuaisrPR7GcdXfX+bpnVfWkdvdGlN09qd1nXdL63rOrnZmQCoqtH7SdN13I3RWE3XfZFZTQucVpul1abpxscbqno47WmW1oKlG8vubpr2HP48vGld11ukAV/aZlPo3dWON8BsBk3NvycU6NXZjs2mmEZT8+9J06FvN4fvvMmkKVpE7iOew2nVg964brqmeny9Hv3TbjRdQwHcbvdh3Y1pXdf90qqq0rdvXxRFwe12N55T80t7n2IFS6uq6pdWVbXVtEeDRssSH4lQk1eH+Ejia4oW4XjIhh0ab67QeXkR/P1deG5B4+cYoof4p3W/tK7rfmldV8nt1BcUBU11N+rXfOmaeo2Kag9VtVBZo1EZIN3gUVHVMDzE4/FLa42agqXdbrdfui1f9PqfN22z2ejdu7fvnFH1xSZeKB4iHhLLa5H2XIfsPaTyzuewbINRFpsteh6iqW4Um42cgj7outqoX2vmJx7cnuAeommJ7SFeevbsic1mi821VRw0Nb1eBHzBp/A1aT4vTIT2Jh4SOxIu+BQpU6ZMYeDAgcycOZPvv/+egwcPcvPNN7N9+3aAdk1+NmfOHHJzc32v3r17A1Cy73vjb9FGSoo2AlC8ZwOlB7cAcKCsnvLKagCKDpZQWV0LwN4DxdTUGj2x9hQdpLbeBcDOvQeodxmr+u3YXUSD22ic23ftQ1VVdF1n+659vhvG7bv2sbvoIKrHxZpN5QCUV2ss+bbeKEuFxorvjGMXlWms/NFI7z6ksmpz43n2e1i31Uhv2ethQ6FhIBt3udm4y0hvKHSzZa9RlnVbG9ix30iv2tzA7kOGaaz80UVRmeEaK75zUVxhpJd8W095tZFetLaeqjqj8i9YXU99A3hUI+1Rob7BSANU1eksWluPR9VZtr6eJevMo6n593SgVGXhGkOrWTQ1/56++MHFiu/qKTzgSSpNFTXRG9Iato8caPSRnesoL95hfJaFq6gsMxZQ2LttJTUVxiqde7asoLaqGICdm5agucoN3YsWUVVVZehesID6+no8Hg8LFizA4/FQX1/PggULWLFiBeXl5b6hzeXl5SxZssQoS3ExK1asMM5fVMTKlSsB2L17N6tWrQJgx44drFu3DoAtW7awYcMGADZu3MjGjYamDRs2sGWLoWldYRo7Dho/P+Ij4iNm95FoEY6HfPmDyr4SxTc3i6IYmkP1kPracgB2/LCIhnrDQ7Z/twDVXY+uedj+3QJ0zYPqrmf7dwvY/dMKXLXl7PjB8JD62nJ2blqCrkNZSTFlu1bgcICnroiyvStxOKChejcVRatwOCDVvYMdW8LwkHXr2LHD8MVVq1b5FpZZuXKlb/XiFStWUFxsaFqyZInvIWSovghQVVXFokWL8Hg8LFu2LPq++MMWthxINzSJh4iHxPhaJJiHlO0P4TqkbD+dcqC0yrifyk6Prodoqoddm5f5PKS2upydG5fgUaG6opjdP62gpAo8tYE9xOHawdZNieshACUlJSxcuBCPxxOba6s4aGp6vXjgwAGfvrA1/VTIxiKjQ0W825t4SGxRdD2BQmFA165dufLKK5kzZ47f9l69enHJJZfw8MMPB933m2++4eKLL/Y1wpEjRzJlyhT+8Y9/UFNTg9PpZPr06ezevZsvv/zSb9/f/OY3bNu2ja+++qrFcV0uFy6Xy/d/ZWUlvXv3ZuX6UnJy831PCWw2O5qmoug6StkXaKoHJSUXRVHQNA1FUdqVBiOK6U1rmkZdvYtqTz7De5TQPdeFpuuoGjjtCpquo2ngsCu+aG3ztKrp6E3S6GD3pjEmVlNVHRQj7VF1lCZpmwK2QGkb2BQFt6pj96Y9Og67EQj0psFoNE3TToeCrut4VGN1nn2lKl1zbaQ4babQ5HQoft+TR9XYV6pxRCdjBzNoav49eVSdQ5U63XIVUJSk0eRWYXNJT4YNG4bdbg/qPaEQto9gTMCpaR4UFCOtelAUG4rNZqRtNhSledrNoUo7Q46w0TXXjcPh8PVq8g5L9ng8vnRDQwPFxcV0794dTdNwOp1omoaqqr60pmk4HI6gaW9w3JsGY+LJgGk8ePb8D8WWgj01V3xEfMTUPmKz2dhY3KPDPeSp93XcqsKkUZCeotIjH7IzQ/cQxWZvkjY8xJsG0DWPL62pDdRVF5OR0x10DZvdia5r6JqKYnNSXKExsp9Gp9woeYjdjsfjQVEUX9pms2Gz2YKm3W43drvdl27LFz0eD06n0/gePR7sdjv79u2ja9eupKSkRM8X60uh6D3safl4SBcPEQ+J6bVIMA9ZsbaUggJ/D3nvS50d+xW65cOZ4z3kpCtU1No5WKY29ia24bS130PqG6Cq1gOKHXfNPhzpXWhQU0l1atgwPETXtUZvcdCvq0aPguTzEKfTicfjYd++fRxxxBFGG4vmtVWcNDW9XgxFX1BNdYcML8zojqo7xUMSxEOWL18ect6JEyeGlC/i1e727dsXdOW59jB06NAWcy9VVFRQVFTUYi6o5owbN47NmzezdetWdF1n8ODBXH/99YwbNw6n0+k7/ieffOIXxAFjLqiRI0cGPG5qaiqpqakttttsdr+/vrTu7ZKq+Ga/azr+tT3ppmW22+1kZWZQW2XDYW88j6LgLY5f2qb4urk1TdubDFoNmrYfTjvCTDubph3B0rRIK4riSx/R+XAGs2hqqsNht9GnS5Pv2wSamn9PKTaFXp3wI1k0RYuwfcSXblL/7aGknYbtKPh8D4KnU1NT6dWrF4DvB8l7YRJquukPWZtp1YPDhq+ii4+Ij5jZR9QoPmwM1UN0HdyqUb5BPSEzrYmfhOghbaWVJmm7I5WsvF7e/4z3FRuK3YamGWmHI4oeAn7ze4aSDsULA6UVRfGlvTdUremISFMYXigeYj0P8eqIBqF6iEeFHfuNcx4ogw9XObj4ZMjLgryspjeu7feQugbIy3KSmwlwuI2lOGzkZvpqId4amZ5qw2FPTg9xOBz06dPHlyeq11Zx0tS0vKHoC67D5jOdRGhv4iEGkydPJtR+St4hnG0R8bC7fv36ce655/LBBx+EfLJQOOOMM/jkk0983QAB3nrrLWw2G1OmTGlzf0VRGDx4MEceeSTFxcX897//5eqrr/Y7fllZGZ9++qlv208//cS6des488wzo6ajI9A0jV1792P21e6WfGt0AzcrolGINuH8xHg8HpYsWdKBq5N0fB2wQv0TjYIXVcM3GarD3nreaKCpHnZuXILq8aDr+L8a80QvjB8fOt4nOx4rtC8raGwvNfXww87D/19zJlx8cvRWkmvhETpkpkGfLh4KNy6hTxcPA3rAEV0gO6PlqyM8LVaY3UfMrg+s5yH33ntvwNesWbM45ZRTUBSF008/nXvvvTfkY0bc8+nYY49l/vz5fPDBB/To0YMZM2YwY8YM+vXrF+khAZg5cyZPPPEE06ZN44477mDv3r3ccsstzJw506+n1SmnnMLOnTvZunWrb9tDDz3EoEGD6NatG5s3b2b27NmMGzeOyy+/3JfnuOOOY+rUqcyYMYNHH32UtLQ0/vznP3P00Udz3nnntavsHY2iKHQqyKParST88qKRYrPBiH5OTLxwgmgUYkKolmCz2RgxYoRfD8uOoeNMywr1TzQK1XVGsCcjFW6c5h+EiiXlNTaceSMorrIFvBZJT4FkX8Aq9j4Z/4s4K7QvK2hsLwtWwd4SI52eYvhJe1A18PZR0IFDFeBsFkCy2+N5LdJxmF2j2fWB9TzkrrvuavX9Dz74gOnTp7eZrykRB59WrFjBTz/9xHPPPcdrr73Ggw8+yOzZszn11FO5+uqrOffcc/269oVKfn4+n376KTfccAPTpk0jOzubq666ioceesgvX9PZ8r2UlZVx8803c/DgQXr06MEll1zCnXfe2aIR/Pe//2XWrFlcc801eDwepkyZwhNPPBFReQPR4AHN7QBdwdsFPVbYHQ5wm7cF2BSFrnlJ/JgjBESjEC66Di538Pdbe685NpuNrl27tr9QCYwV6p9otC57imHPVthXAqVVcOxQOHaYMddZNHF7Ag8jrHXZ6N2zKz0LAu+nKEbPhmRGfNIcWEFjJGzZB0elGe103GAj+NQpB8YNCv9YTa9PdN3wpKYBrPwsOKKzEdjykpZikTZmco1m1wfiIc05++yzOf3007njjjtYunRpSPu069LkyCOP5K9//St79uzhrbfe4rTTTuOTTz5h+vTp9OrViz/96U/89NNPYR932LBhfPLJJ9TW1nLgwAH++te/kpKS4pdn2bJlFBYW+m2bO3cuu3fvxuVyUVhYyIMPPkhaWssrntzcXF544QXKysqoqqri7bffjtr8VZoOJZXQoNpj/qp3K+wr2kOmsx67Ys7uf25V5+Nv6g4vBWxCRKMQLtV1UOsyAt2BXnlZod94ut1uPv74Y7+lcs2GFeqfaLQun38P3xcaN3lgtP9YUFIV2G+y090U/vAxmanuxjlh/F+5mR3TAyuWiE+aAytojITlG+BguRFcLsiGU8fAJafAUX3DP1ZVk+sTt2ocb3AvGDPIeA3vCz0K/D0iLcUibczkGs2uD8RDAjFo0CC++eabkPNHpauPw+Hg/PPP5/zzz2fPnj28+OKLPP3008ydO5e5c+cyYcIEfve733HhhRf6TZhtSnRjoq/BXYrJSamBlE5t7xMhmq5T0clJbmYxaU5zNgK7DcYfmRL1J7iJhGgUwkXTITMVRvQPnqd5t/Zg2O12xo8f3+6VuBIZK9Q/0WhdXI2dwI/uD51zjUnGY4EC9Otm9IhoiqbZqelucg8RnzQFVtAYCZoOH66C684+HBCKFO8cTiP6Gf8r+E+GHAxLtDGTazS7PhAPaY7H42Hp0qUBO/sEIzrjzBrRNI1vvvmG1atXc+jQIXRdp0+fPnzxxResWLGCBx98kLfffpvBgwdH87QJSYpdJcWugiO2k4Gn5SnEYwLfjsKmKBRkm9fEQDQKkWG3Q0oUHNxms1FQEGS8jEmwQv0TjdZFUwE7HD0AOue0mT1iFMXwnJa+YyOtk8k9RHzSFFhBY6SoGlGZx8ZYcj786xNLtDGTazS7PrCeh7zyyisBt3s8HoqKivjf//7Hhg0b+N3vfhfyMaMSt9u+fTt33HEHvXv35rzzzmPRokWcf/75fPrppxQWFrJr1y5uvvlmNm3aFFbhhNZxe3Q+XFWH22Pe4JNoNAdW0NiR6Hr0Vp5xu918+OGH5u4mbYH6Jxqti7f3vz1OHcst4SFW0GiB9mUFjZESzZ4ckQyztUQbM7lGs+sD63nIjBkzuOKKK3wLy3lfV199NXfffTffffcdv/nNb/jb3/4W8jEjfm7udrt5++23ee6551i+fDmaptG/f39mz57NFVdc4TfhWPfu3fnLX/5CZWUlr776aqSnFJrhsMNJI1KTetnRthCN5sAKGjuaaM2h4nA4OOmkk6K24EIiYoX6JxqtywlHgTMNMjpgUu9AQW9LeIgVNFqgfVlBY6Q4ohR8ivSW3BJtzOQaza4PrOchL730UsDtlZWVrF+/nvfff59zzjmH1NTQl8WMuHb07NmT0tJS7HY75557Ltdeey1TpkxpdZ++fftSV1cX6SmFZiiKQk6GuefQEo3mwAoaO5JoPm9RFIWcnBiO1UkArFD/RKN1GdYHsrLjd37LeIgVNJq8fVlBY6S0Z5oeXT+8EqaqRtYz2zJtzMQaza4PrOchl156aavv/+53v+PEE08kMzOTs846K6RjRhznzsjI4L777mPnzp28/fbbbQaeAK677jp27NgR6SmFZrg9Ou99ae6uf6LRHFhBYyzwLllc3+D/ckWxR7Pb7ea9994zfTdps9c/0WhdviuM7vGC+Q4Evqm0hIdYQaMF2pcVNEZKuHM0NfWJg+VQXg0VNYZHhLrgSVMs0cZMrtHs+kA8pDljx45l2rRpPPTQQyHvE3HPp8LCwrBXrsvJyTF9RLQjcdhhytg0U3f9E43mwAoaY0FFjXGB13wS0PQUSHFG5xwOh4MpU6aYvpu02eufaLQuO4rguJHRO159A1TXt7wZzUoLPC+MJTzEChot0L6soDESBveEMUPD26eqDjyq4QlpKcYqmD0bF/iOZDEUS7Qxk2s0uz4QDwlEz549ef/990POH3HtqKysZOfOnQwaNIiMjIwW79fU1LBt2zb69esnAacYYoXKLxrNgRU0RhtNh5wMGHJEy/dCWbo4VMx8oeDFCvVPNFqTIzpH93iaDumpMLKf/9xyigKpQYLelvAQK2i0QPuygsZwmTQK8vLC20fXITMNjupj/J/iaP9qeZZoYybXaHZ9IB7SlOrqaj788EOysrJC3idim7j//vs54YQTUFU14PuqqnLCCSeE1Q1LCA+PCgtW1+MJ/BWYAtFoDqygMVakOo2nis1f0VqZxuPxsGDBAjweT3QOmIBYof6JRuvSr3v0j6nQ0nOCBZ4s4SFW0GiB9mUFjR2Frhs34V5/aG/gyRJtzOQaza4PrOch9913X8DXXXfdxVVXXcWgQYPYvHkzl112WcjHVHRdj2jQ4vDhwxkyZAjvvPNO0DwXXHABmzdv5rvvvovkFAlLZWUlubm5fPVdBVnZ/r26VA3KqnTGZL5PTkoNpEb5kWQTdF3HoxrmH+4QyGRBNJqDZNWoagobi3swbNgw7O2ZjTMArfmIl9JK6JoHQ3pH9dR+6LqOx+PB4XB0zHej1sO+t8GWCs6O6RWbrPUvHERjYtIRHvLxVxX06h69tlRdZ/R4OubI0CYO7nAPiQMx0+iugH3vQEoB2NOjd9wISMb2FS7JqjFWPuL1kM+/rSAvLzwPKa+G3EwY0S86ZREfSX7apa+hBPa9C2ndwZYSmwJGAat5SFt5CwoK+L//+z/uuOMObCFGoCPuG7dr1y7OPvvsVvMMHDiQxYsXR3oKIQS8DcDMiEZzYAWNsaAjftu8Fwtmxgr1TzRakyjHtAzC9B1LeIgVNFqgfVlBY0cQi+mWLdHGTK7R7PrAWh6ydOnSgNudTic9e/bkiCOOCDsgHnEnSUVRcLlcreZxuVxBh+UJ7cejwqK15u76JxrNgRU0xoKOWEvD4/GwaNEi03eTNnv9E43Wpb1DcL3LpDd9KYQe+LaEh1hBowXalxU0xhqvX2ia/5xw7cUSbczkGs2uD6znIRMmTAj4Ou644+jbt29EPTEjvmQZOnQoH330EcFG7WmaxsKFCxkyZEikpxDawOlQOPe4dJyO5On2Fy6i0RxYQWOsiHXPJ6fTybnnnovTGaXl8xIQK9Q/0WhdHO0MPh2qgLKqwy+3J7ynupbwECtotED7soLGWHOgzPAJ75xP0cISbczkGs2uD6zpIU899RRDhw4lPT2d4cOH89Zbb/neq6qq4uuvv6aysjLk40V8yXLxxRfz008/MWPGDCoqKvzeq6ioYMaMGWzdupXf/va3kZ5CaANd16ms1YIGAM2AaDQHVtDYXjQNal3+r7qGsEe/hI2u61RWVpr6u7FC/RON1iXclS/dHn+fUTVjxbwxAw+/Aq2wGQzLeIgVNJq8fVlBYyzQdahzQU29EXAa0MPwib7donkOi7QxE2s0uz6wnoc899xz3HjjjRw4cIARI0awc+dOLrroIpYtWwYYC8ydfPLJPP300yEfM+Lg0/XXX8/xxx/PK6+8Qv/+/Zk6dSozZsxg6tSp9O/fn1dffZWTTjqJ66+/PtJTCG3gUeGz712m7vonGs2BFTS2l6o6aHAbQSjvKy8TYv0AyePx8Nlnn5m+m7TZ659oFEKltKqlz3TKgZzMw6/01NCPZwkPsYJGC7QvK2iMBd5Ata5DVjp0yjZ8ItgKmJFgiTZmco1m1wfW85AnnniC7t2789NPP7F69Wo2bNhAdnY2f//73wHIy8tj0qRJLFy4MORjRrzaHUB9fT133nknzz33HFVVVb7tOTk5XHvttdx///2kpoZxBZMkJMpqd4IgxJaOXO2uvNq4qBve1z+f3dYxk453GHFY7U4Q4kW8V8wMxMFyGNobuuQe3maVyVMTjgRa7U5IXOK92l11HdhsMHqA8be988wJQguSZLW7ZCVSD8nMzOSqq67i8ccf92371a9+xWeffca+ffsAuOGGG3jnnXfYu3dvSMdsl32kpaUxd+5cSktL+e677/j888/5/vvvKSkp4S9/+YspA0+JhKbrlFapaCbu+icazYEVNEYDu824CWz6inXgSdM0SktL0TQttieKI1aof6JRCIaqQXGlMbfToQqjt1Nzn2kPlvAQK2i0QPuygsZo4nIbnlFSaUwB4HTELvBkiTZmco1m1wfW85C8vLwWPdn69etHcXGx7//MzEy//9siKhZit9sZPnw4xx9/PEcddVTUn+4JgVE1WP1TA6p527hoNAlW0JisqKrK6tWrTb0yqRXqn2gUguH2gNMOPTtB364wsCdkpUXv+JbwECtotED7soLGaFLrgtwMGNbHmBculliijZlco9n1gfU85Oyzz2bx4sW4XC7ftoyMDL+A1KZNm+jcOXSDkI6TSYzTrjB1XDpOu5nG5PgjGs2BFTQmK06nk6lTp5p7dRIL1D/RKARD140elP26Qf/uxt9w5nRqC0t4iBU0WqB9WUFjNNF1wyv6d4fuBbE9lyXamMk1ml0fWM9DZs+eDRhD7YqKigBQmgzJWL58OQsWLODUU08N+ZhhrpHiT1VVFU8++SSffPIJ+/bt84uKeVEUhW3btrXnNEIQNF2nuEKjc64Nm6kmhTmMaDQHVtCYrGiaRnFxMZ07d8ZmM+fzCCvUP9EotIZC7FbOtISHWEGjBdqXFTRGA48KlTXGQihdc9vOHw0s0cZMrtHs+sB6HnLBBReQmZnJ+++/z8KFCxkwYAD19fUAjBo1ih9++IH8/HzuueeekI8Zcc04dOgQY8eO5c9//jPffPMNmzdvpqysjAMHDlBYWEhhYSENDQ2mHvcZbzQNvi90Y+aPWDSaAytoTFY0TeP77783tVdbof6JRiEYsZ6ZwhoeYgWN5m9fVtAYDWpdkJYCg3pCfnbHnNMabczcGs2uD6znIZ999hkbNmxAURQ8Hg8//fQTu3btIjU1lerqaq688krWrl3LgAEDQj5mxD2f7r33XrZt28arr77Kb37zG+x2O3/84x+5++67Wb16NTfccAMOh4NFixZFeorkJ8YRUYddYfLoKE7ckICIRnNgBY3JisPhYPLkyfEuRkyxQv0TjUJrKErsLkks4SFW0GiB9mUFjdFA1yHFAUce0XHntEQbM7lGs+sD63lI88nGo0HEPZ8WLFjAKaecwm9/+1u/sX8A48ePZ+HChRQWFnLfffe1u5BCYDRNZ2+JiqaZd8Z90WgOrKCxvcTrk9E0jb1795r8SZX5659oFOKFNTzEChrN376soDFaKB08asoabczcGs2uD8RDokHE1lJUVMSYMWN8/9vtdurq6nz/5+fnc8YZZ/Dmm2+2r4RCUDQdtu1zY+b6LxrNgRU0JiuaprFt27YOvljo2IpghfonGoWmqJqxPHpx4zLpELueT/HxkI7FEhot0L6soLE9eH2jvDp2c8QFwxJtzOQaza4PxEMC8eqrrzJp0qSQ80c87C43Nxe32+37Pz8/nz179vjlycnJ4cCBA5GeQmgDh11hwkhzd/0TjebAChqTFYfDwYQJE+JdjJhihfonGoWmuNzgdEBBNjjskGIHWwyH3ZneQ6yg0QLtywoa20OD2/CLAT0gL7Njz22JNmZyjWbXB9b0kI0bN7J06VJKS0tRVbXF+8uWLWP58uXce++9KIqCruvce++9QY8XcfBpwIABFBYW+v4fM2YMixcvpqSkhE6dOlFXV8f8+fPp06dPpKdIbvTYh0Q1TWf3IZXeXezYYnVVGWdEozmwgsZkRdM0du/eTe/evc27OokF6p9oFJqjAAO6G0GoWGIND7GCRvO3LytobC82BQb2iL1vNMcabczcGs2uD6znIa+99hqXX345uq63mGapKYqi8MADDwC0GXyKuGZMmTKFTz/9lNraWgCuvfZaDh48yKhRo7jwwgsZMWIE27Zt4/LLL4/0FEIbaDrGuFMTd/0TjebAChqTFUuM0bdA/RONQrywhIdYQaMF2pcVNLYH78cSjxXkLdHGTK7R7PrAeh7y6KOP0r17d15++WU++eQTli5d2uJ12WWXoeu67/9ly5a1esyI49ozZ87kqKOOora2loyMDM477zz++te/8uCDD/L222+Tnp7OrFmzuOWWWyI9hdAGDrvC8UelxrsYMUU0mgMraExWHA4Hxx9/fLyLEVOsUP9EoxCIjriJtISHWEGjBdqXFTS2l3gEnsAibczkGs2uD6znIT/99BPXX389l156adA83mBTqEMuI+751KNHD371q1/RuXNn37abbrqJ4uJiioqKqK6u5q9//St2uz3SUwhtoGo6W/e5UU0cfhWN5sAKGpMVVVXZunVrwHHcZsEK9U80Cs3pqJtIS3iIFTRaoH1ZQWOkuNxQ3bhuVDwCUJZoYybXaHZ9YD0Pcblc5ObmRvWYEQefZsyYwWOPPdZiu91up1u3bq2OCxSig65DWZXWEdNLxQ3RaA6soDFZ0XWdsrIydBN/OVaof6JRiBfW8BAraDR/+7KCxkgpq4LMNMhKi93iBK1hjTZmbo1m1wfW85C+ffuSl5fXap68vDz69esX8jEjDj795z//4eDBg5Hu3iqbNm3itNNOIzMzk+7du3PrrbfS0NDQ5n4lJSXMnDmTPn36kJmZyYgRI3jmmWda5Pvyyy856aSTSE9Pp1u3btxwww2+uauSCYddYfyQVBx28wb6RKM5sILGZMXhcDB+/Hgcjg6eXbQDsUL9E41CvLCEh1hBowXalxU0RopNgX7d4Ki+8en5ZIk2ZnKNZtcH1vOQ7du38/vf/77VPDfeeCPbt28P+ZgRB58GDhxIUVFRpLsHpaysjMmTJ9PQ0MA777zD7NmzefbZZ5k1a1ab+1544YW8//773H///cyfP5/TTz+d3/3udzz33HO+PDt37uSUU04hMzOTt99+m4ceeoj//Oc/rY5lTFRUTWfTbnN3/RON5sAKGqNBvLq6b9q0yfTdpM1e/0SjEC8s4SFW0GiB9mUFjRGjGNcg8Rq4Yok2ZnKNZtcH1vaQNWvW8P/+3/9j9uzZPPXUU6xevTqi40QcmpwxYwYPP/wwe/fupVevXpEepgXPPPMMlZWVvPvuuxQUFADg8Xi47rrruOOOO+jZs2fA/fbv38/SpUt56aWXfCvsTZ48mdWrV/PGG29w9dVXAzBnzhzy8/N57733SE01JgzLz8/nggsuYN26dYwZMyZqWmKODnUN+uHlKcyIaDQHVtCYxNTV1cW7CLHFCvVPNApxxPQeggU0WqF9WUFjO4h3Xw7TtzFC1Fi1Gep2E/9vJExUnboyFxzcA+H2DFJrgCQIWlnQQ7Zu3cpvfvMbX7BJURTf0Mpx48bxr3/9iyFDhoR8vIiDT+effz5Lly7l+OOP59Zbb2X8+PFB53rq06dPyMdduHAhp556qi/wBDB9+nRmzpzJokWLfIGl5rjdboAWk2Ll5uZSXV3t+3/dunVMmDDBF3gCmDp1KgDz589PquCT3a4wZmBKvIsRU0SjObCCxnajx+cyw263J5XvRYIV6p9oFOKFNTzEChrN376soDFZsUYbC1GjqwjKV0Nqt9gXKorYgTE9gbZnygmMLR1sid0+reYhhw4dYtKkSezbt4+JEycyZcoUevXqxd69e1m8eDHLly9n0qRJrF+/ni5duoR0zIiDTwMGDPBFvm688cag+RRFwePxhHzcTZs2MWPGDL9teXl59OjRg02bNgXdr3fv3kyZMoXZs2czZMgQevfuzcKFC1m0aBH//ve/ffnq6+v9Ak8ATqcTRVHYuHFjyOVMBFRNZ+MuN8P6OLHHY3bADkA0mgMraExWVFVl48aNDBs2zLSrk1qh/olGIV5YwkOsoNEC7csKGpMVS7SxUDXqOqR2gfQjOq5wUcAK7csKGpsyZ84c9u3bxz//+U+uuuoqv/duv/12XnzxRa6++moefvhhHn300ZCOGXHw6dJLL43JinZlZWUBZ1XPz8+ntLS01X3feecdfvWrXzF8+HDAiDA/8cQTnH/++b48gwcPZvXq1ei67iv/qlWr0HU96PFdLhcul8v3f2VlJQCapvr9tdnsaJrq64rm0UDRdOw2BY+qY1PAFihtA5ui4FZ17N60R8dhN4J33jSAR8WXdnuM8+i6jtsDToeCpuuoGjjtRlrTjMnRNE1H01umVU1Hb5JGN6K63rGsdpuCqhpdMrw6lCbpaGvyqIYOXdfxqGCz0Zg2PkczaAr8PemNdclMmg7r8KiH9elJpilatOUjuqaiaQB233h5u92Ox+NBURRf2mazYbPZgqbdbjd2u92Xdjgchu7GNBhDmb1pb69RXddxu904nU40TUNVVV9a0zQcDkfQtKoavudNe8seME2jN3rT4iPiIyb2EVsUL07DuRbRNRW90U9M5yEd4Isejwen02l8j43H8abtdnt0NWmHvTD+7U08JFE1RYNWPcQGmqqiqvFpb9425t3XbB7SVIfxmbeiSdVxQNLUTfGQ5NAUCfPnz+fEE09sEXjyMmPGDF555RU+/PDDkINPEU84/vLLL/PSSy+F9OoIdF3niiuuYMuWLfznP/9h6dKl/OlPf+IPf/gDb7zxhi/fddddx48//sjtt9/OoUOHWL9+Pb///e+x2+1Bg2lz5swhNzfX9+rduzcAJfu+N/4WbaSkyOg1VbJ3A/XlWwBYtyOFHfuNXl+rNjew+5Bheit/dFFUZpjPiu9cFFcY6SXf1lNebaQXra2nqs6oKAtW11PfYFSmBavr8ahQ3wAff+NiRL8Ual1GfoDyao0l3xrp4gqNFd8ZPzJFZRorfzTSuw+prNps9Incsd/Duq1GesteDxsKjYvIjbvcbNxlpDcUutmy19CxbmtDTDUtWG2UvapOZ9Haeuw2hV6dHSzb4DKNpubfU1mVTnGlcVNsFk3Nv6evNzUwol8K+0q0pNJUUWPsHw3a8pHa0sM+smHDBrZsafSRdevYsWOHoXvVKnbv3m3oXrnSt+jDihUrKC4uNnQvWUJ5ebmhe9EiqqqqDN0LFlBfX4/H42HBggV4PB7q6+v5+OOPGTFiBLW1tSxatAiA8vJylixZAkBxcTErVqwAoKioiJUrVwKwe/duVq1aBcCOHTtYt24dAFu2bGHDhg0AbNy40dej1E9TYRo7Dho/P+Ij4iNm95FoEc61SMX+DVSXmthDYqxpwYIFAFRVVbFo0SLsdju9evVi2bJl0dX0wxa2HEg3NImHiIfE+FokmIeU7Tc8ZOeO+LU3u91O3759+fTTTwHzeYg3XVRUhN1ub13TplpASYq6KR6SHJoi9ZA9e/Zw3HHHtZrn+OOPZ9euXSEfU9H1KIXTo0TXrl258sormTNnjt/2Xr16cckll/Dwww8H3O+DDz7gnHPOYcOGDYwcOdK3/eqrr2bBggXs3bvXt+2RRx7h3nvvpa6uDpvNxsyZM/n6668ZOXJkwGBZoCcFvXv3ZuX6UnJy8/2eNro9KuXVOmMzPyAjpQ4lpSBmkU2XW2fjbg8j+zrQUczZ80mB9TsaGN7HSWqKzRSamn9Pbo/Ghh1uRg9IQVEwhabm35Pbo/Pjbg8j+jhQbErSaHKrsLmkZ1S6gbflI6UVKvnZMKJ/xz6dc7lcbNy4kZEjR6Lregf0fHLj2fM/FFsa9tQc8RHxEVP7iM1mY2Nxjw7xkKbXItW1KroOxwyxg24yD4lTz6f169czfPhwUlNTo6epvhSK3sOeVoCHNPEQ8ZCYXosE85AVa0vx2PIZ0UelICd+PZ/Wr1/PUUcdRVpamuk8xOl04na72bBhA6NHj0ZRlOCaDnyCo2EPamqvhK+b4iHJoSlSD+nSpQu/+c1v+Pvf/x40z4033si///1vSkpKQjpmxMPuYsXQoUNbzO1UUVFBUVERQ4cODbrfjz/+iN1uZ8SIEX7bx4wZw/PPP09tbS0ZGRkA3Hrrrfz+979n+/btdO/enfz8fDp37uxbEa85qampLeaJAuMCr+lfb1pRjMrmsGHc9WBUSC/B0s6maUewNH7p9BTFqPyN57EpCt7i+KVtiq+bW9N00/GqQdMhlD2amsBoVE6H0eU0I9WGwxFAX5JqCqQjM80Giok0NdPnaKyrNrviK3OyaIoWbfmIYrNja/zCm/4weC9kQk07nc6w0+np6SiK4juO92Ir1HTT8raZVt2N3thYdvER8RET+4gavc6TYV2LKDa7bzUe03lIB2mCxu/R6URVVTIyMsLSF7KmMLxQPMR6HuLVEQ3a9BC7HW/17Oj25m1j3u1m8xBveTMzM9vWZE+uuikekhyaImHw4MH88MMPreb54YcfGDx4cMjHbNeE46GgKArbtm0L+bhnnHEGs2fPpry83Df301tvvYXNZmPKlClB9+vbty+qqrJhwwZGjRrl2/7NN9/QtWtXX+DJS2Zmpq+H1Isvvoiu60yfPj3kciYCdpvC0N7OtjMmMaLRHFhBY7Jit9tbDeybASvUP9EoxAtLeIgVNFqgfVlBY7JiiTYWskaN+Kx/3D6s0L6soLEpF110EQ888AD79u2jZ8+eLd7ft28f69ev5/bbbw/5mBHP+aRpGrqut3iVl5dTWFhIYWEhLpfLN7FaqMycOZPs7GymTZvGokWLeOmll7jllluYOXOmn+hTTjmFQYMG+f4/88wz6dOnDxdccAH/+te/+PTTT/nTn/7Eyy+/zA033ODLt2PHDu69914WLlzIwoULueWWW7j22mt56qmnyM/Pj/TjiAseVWf1Zhfeyc/MiGg0B1bQmHToOmgePA0uVq/6Gk+DCzRP7F966KufRgsr1D/RKMQLj8fD6tWrw1rZOCboasx8K2Y+GQc/DIYV2pcVNCYrCeMjzdG1+PhIEmKF9mUFjU258cYbOXToUMDAE0DPnj0pLi7mpptuCvmYEfd8KiwsbPW9WbNmceDAARYvXhzWcfPz8/n000+54YYbmDZtGtnZ2Vx11VU89NBDfvlUVfUzqOzsbD799FP+/Oc/86c//Yny8nL69+/P3/72N66//npfPqfTybJly/j73/9OQ0MDo0aN4t133+Xss88Oq5yJgKJAfraNKI4MSjhEozmwgsako/I7qPoBRYN8uwNl//Z2PI4IE7UWbGkddDJr1D/RKMQLRVHIz8+PyQrIIVN/AEo+B70hJoePqU+qdSRCLwcrtC8raExWou4jDWVQv6+dB9GgthA81dEoUeg+orlB6agLsuhhhfYVFY3Fy2HHE6DF5vcqIEom9FvecedrhZhNOO52uxk1ahRTp07lsccei8Up4kZlZSW5ubl89V0FWdk5fu+pmjHb/5iM98hJq4OUTnEqZQzRGqB2Z7xLIQgxR9XtbKw7MSqTBTenuY+UVUFBDhzVJ6qnCU7J51D6JaT37qATNkGxgSOXkH691Xqo2x37MglCDOhID2lKTb3RuXHc4MOTkJqa2kIoeh9Su8a7JOGj2MGZG+9SGD3HaguNnh5CQhErH/F6yOffVtBADqMGQEF21A4fXyq/g4OLwd7OB126alyv2FKiU66QUMCZY3hDe5F2nXjseh4qvu3QU6pKJhsHfBW2h+zcGfn9ft++fQNuj9mE406nk9NOO40333zTdMEnHxXrQM3y36YBtWmQ7o756T2qzqrNDfxsSIrfxGQx54dboHpT2/kEIdlRMmHAV/E7f90eqNoYm2O7KyElH489Pz4+Eirf/R/UFca7FIIQGXH2kJg+gXaXQ/laPB4Pqza7+NmQ1Ph5iFpnBLVTCmJy+Lhdb3Ug2tbHsBWHN1pB6CA6wkfiOYpIrcdT/DWrNlZGz0fUOrCnQ+bA9h8rSsTFR7b/Aw5+1DHnEsJjwI2QO65jzqXboCr83QYMGECk/ZSCTb0U09XuamtrKS0tjeUp4ourGJx1/ts0BdyZxjh+R07g/aKETYFenezYOvo6qHaH8ddZEPNuoTqgqmC3J0Kn9NggGhMYJaPtPFEioLU3lELFWkjpEpuTpnSJn4+Egq4eDjw5O0V8J5209S8MRGOC0oEeElU0D9TtbP1ped0eqPwBmy2TXjmp2OpdHTd0NxApnWN26LB9smKDMaxCrY9ZmaKNreHg4X9i+FnGk6T0EOgYH+mID6T+AHgqW25vKMFWs4VeWU5s9Wr0fCTBekK28JHCZ6Dki9ietAPbddK2rzCImsaULtBpIjiy2s4bDTQlouDT5ZdfHjD4VFlZybfffsuOHTuYMGEC/fv3D/mYMQs+ffbZZ7z++usMGTIkVqeIP6mdITVAzyc1DdI8YIvtWE6bTaFvt5jGD1uia6C5jPSop8GZF9PTKcQ4QpoAiMYERlOgOJ4F0MGeDelHxOwMNuh4HwmVpjduY1+OuNt70ta/MBCNCUrcPSRC3GVQ8hm4q1of+mFPw5ZxBH0zO65o8SDs663iT6FuV+wKFCts6TDuNXCYZeyVP0npIZC8PtKcyg1Q+T3YUlu8ZQP69u4d4+6a8cXPR3QViubRIV3ObGkw9tWYD+9N2vYVBlbQ2JQXXnih1ffnzp3LX/7yF55//nkGDgytl2HEn9/kyZMDbvd4POzdu9c3Ifndd98d6SmENvCoOit/dHH8UR3Y1b3p5GgdMGFwXDR2MKJRQNeMCS0bPFDfZMiu61DMHx9F9N2odbDzWXBXxLZwXr9RHO2ab8EK9U80ChGhuozhc81x7TceNGUNanPekaT5XhpKYNdLxoIHYaLpOqWVGgU5Nmyh3BxXbzb+9voVFJwY9vnigUfVWbUzn58pWaa9uUqauhoHov5pNJS0XLXNU20MjU3r0SK7R9VZ+X2SfDd734Lq8KdE8PMRVIzAkwIj/h7bkSSpXTtkXjkrtC8raAyHm2++mQ8//JCbb76Zd999N6R9Iv59WbZsWcDt3tUKpkyZwqxZszjttNMiPYV5qfwBdr1wuAdRhNh1OFYF+/d0XP9GXT2c7oDJ92wKDOzpTMwhQVFCNFqchgNQvRcqS41hdo5mq7PEop2pLtj6F3AdiMxHarZGv0yt0c5hh1aof6IxCrgrGlceiyK6DWh5o9UhNP+cPLX+QzAAqrdC7XYCPn1X6wll/EvMv5eGEtj6KHjaGexuh2/ZgM4AZWHumDMaso6M+LwdiU3T6dtLEw+xKO3qf6O5G1eWazyKpwaqfjB6UPrl8wSdly0u303Ft7DrZdDDmKe3oaSlrhAJ6COp3SF7aETHSzSs0L6soDFcjjnmmDZ7SDUl4uBTsEmkhBA4uNAw5XaiAB259oIfqT06ZBlQm02hVydzL9UjGi1O2VrITDcWL0jtCunNbDkaq500p+o7KDXmGWiXj6T2gF4XRqtUwckZ1a7drVD/RGMUcO2H1J5gi2K/Dy2BrlBrC6F4WbONujEpb4CeCKCENAQm5t9L2ddQ8U30jpc9AroE7r0fVZz5kDs69ueJEuIh1qWsGjLbM/VMfREc/KTJQ3XdmPs2Y0BLPw1yTROX7+bAhxH1YPIx4Mb2l6Gd1zeJhBXalxU0hsu2bdtoaAh9qiGz9qxNbLzzmHQ7B/J/HvlhNPiu0M3Ifk7sHT3JZ9bgDjmNR9VZ8Z2LCSPN271RNFqctO6QngV6Kih1sQk2Ncc77CSjP+oRV0bmI/Y0yBoW3Rv1GGGF+icao4Ed8o+BjMDLA0eEqkJZjFasDJvGh4ZZg6J61Jh/L16/yh0NPS5o37EcWZA1JOyHZ9K+zIEVNEZCZjr06gzpET+J0g4P042QuHw3Xm/pcUF4gWJFMa5/HOFNdmf2+md2fWANjaGgqip79uzhhRdeYN68eZxyyikh7xvxXUNFRQU7d+5k0KBBZGS0XIWhpqaGbdu20a9fP3JyYrvqW9LhfTKQOQjyx0d8GEXX6WnXUHJtpp2gz2aDEf2c2OK5gk6MEY2Cl3a3Ynfl4blGWqOq8WY4pQtKwTHiIyZANEYBhQ7p0Rs3dC0mQ/TD/l7q9hg9JUKlZrvxN+2Idl0ztQdpX+bAChojwa7Akb3acYDWVsUMkah+N7W7wHWg7XyuQ8bf7GEd4i1mr39m1wfW0NgUu90ecLU7L4qiUFBQwKOPPhryMSMOPt1///08++yz7Nu3L+D7qqpywgkncN111/GXv/wl0tMkISFc2Xkn0W3nXC42RaFrnrm7/olGc2AFjQnBprugelPo+e0ZlvhuTKPRVWzMNxGgd5wN6OoAajq8VB1GzDXa04neGt8JQEMZFH0OtsYbQ80Tk4WVwmpfDSWw/lpjSE642DtgufkgmMZDWkE0BqBud+NohTg/mNHtxG3uOF1vnO9Vh/q9RlpXjfnivHMlaR5Abe0obeL33XhqjKkBtABDecrXNJYjSMBLrQ68iEJrdJC3JEUb0zUi/aGwAV1zAbTwDtFQEtlvQkfgqcHoNWx8b0l7rRWhh5x88skBg092u528vDzGjx/PFVdcQZcuoc/NGnHw6aOPPuK0004jOzvwcqw5OTlMnTqVBQsWmDb4NGT3FHIyWv4g6TrYSlppdV6zDrDUaDi4VZ0l39YzeXQaTpN2/YurRtfBiFbFCRe3qrBkcycmDynBae+AJVfjQNJq7MgLPj2Ey9vqLbDpbmPFmEAH8HqLMw9SOrd+LFsKdDvLej6i10LDoXgXKTIaSiBnJOSMaPGW26OyZOVmJh8/BKcjwS9uIyT2Gm3GvGvJjLvceLns0FCKUrsFUpt4QcC5ncJAdYHmPym7W9X5/Pt6Jub+B1vpcuMiKBh6k5vJzDCG6NgzoEvo3fqjjeV8MhSNnmpoKI59waJI2Nci7irIGw2ZoS0hHjM0HQo7+G63ZruxAEP9XnCVGNvUWiO4oziNtuzIAqXxQXpqCN6iNfhfV9dsh58eAq0BHUOmTQFFD33+mFYJxWNSuwX8TY0FUfMRXYP6PVHpceZ/XNUItjoiC8YZ7aszk4cUh3etb0sHR26774tjQgrG8MrG4fhJe60VoYd8+umnUS9KxMGnXbt2cfbZZ7eaZ+DAgSxevDjSUyQ8Nr0BW7C21Vabs6W2+8fMboPxR6Z0/HxPHUhcNbrLjckSnXkxPY1d1xk/zIM9u5tphz0lrUaNxHq6Ub4G3KWt50nvC6OeCXn4kF3XreUj9WXG6nmp3eJdrMhI7wkZ/Vpstmsa43+Wjz0rD7P2B7eCxohQ66FqP6AZv1t1u8CTh4Ju1PW0KNX1ur2w4TrQ6v02O4FJAOHEIXpcAP2ujk65OoC4X2/V7vIP3MUAuw7je6dgr2sIraOPp8qY96atBx0JRETXIlmDIbV9K662G1UFOmDuOF2Hig2g1ULtTsNL7Flgc4IjB5w5kNE7smO7Dhq9HoM81FVo7FvS9P4pY6AxL2aLzHbodlbwOTIVG2QO7pBVucPBboPxA3Xstdva18lWrTPaXUZvsKVFrXwGOmT0ORxUDAO7pjM+sxp7ThZhLQen2Aw9SXB/kLTXIR3lISEQcfBJURRcLlereVwuF6ravm6Yicy+gj+xv/NJfttUDSrqUhnes4Ts1FaW7nRkN3bxjxybolCQnURR1wiIq0bFBjlHBbzRiyY2oCB5rt0iImk1qiocSAyzBg4vA99lKvT+beA8zoKw5q2xno9oRkC50/HxLFLUsdlsFBQEXsLaLFhBY0RotVDvnetNMXo3eRrn2kyN4sV89aYWgacWpPWCYQ+1vnCCYoeUTtErVwcQV5/UG3u1Zh4Z0555NqAg3K8ltWvg4ECCkrTXIh2F1gBV3xtzsjlzIPuo6AVwqjcHDjwpdhjwf5A7xn+7PTPsCb0THZuiUJBeDbZu7V+4yeaErKEJFbCxAQXxGx3dIVj5OmT16tV8/fXXVFZWUlBQwLHHHsvo0aPDPk7EwaehQ4fy0Ucfoes6SoCKr2kaCxcuZMiQIZGeIuFpcPbA7vD/0VU1BZc9FT3FAamxfUrl9ugsWlvPlDEpOO3mDPK5PTqL1mlMGWPD6ehgg9U0OmKcv9vtZtGiRUyZMgWn0xnz88UDK2iMOmVfGRPzNqXqe+NvSqeo3YT4fGRsWse3MTg8f0QM8fMRrcGUk0pboY1ZQWNEaC6jt0B6z8Pb2jN9hq5ByXJjmGdTqn40/nY6CY6807c57h7SAQTVqHnwrSIYK3St8WHYiJgGeqzQvqygMRIUMOqZWgtoxkNXZzsXi1JdULLM6CEHUP2T8Tf/WBh6X4vsSekjYbZ/t0dn0beZxrVI7tGxK1ecsEL7soLG5hQWFnLxxRfz9ddft3jvuOOO47XXXmPAgAEhHy/i4NPFF1/MTTfdxIwZM/j73/9Obm6u772Kigr+7//+j61btzJ37txIT5HwaGQQz/4CDjucNCIVR/12sJuzATh0OGmwHYdbbd/FdCSk5IES+2XkHQ4HJ510Eg5H4i9ZHylW0BhV6otg0z3B33cEnmsvEnw+Eg8z0xqgZqvxhDOG+PmI4gR7tLupxx8rtDEraIyIqs2QGsUASOUG2PJw8Ped+X7/xtVDOoiAGj01xoTU7ezFHhL2nJhfj1ihfVlBY8SUrYKabcZcXqlZ7T9e8aew/fGW24NMZZF0PqLWGsNhw2j/vmsRZ4RDFxMcK7QvK2hsSkVFBZMnT2bXrl385je/4bjjjuOGG27gzDPPpHv37rzyyitMnDiRtWvXhjzpeMSf3PXXX8/bb7/NK6+8wnvvvcf48ePp1asXe/fuZfXq1ZSXlzNhwgSuv/76SE+R8Kj2fOIZ8lEUxZjwvAbjiVhmO7twJiAK0M5nL+04udLiIjs2p1HIyYmbyg7BChqjirvM+GtLh4Jmw8McWVGdeNfnI/FAV41JJjudFNO51Vr4iCMKF9YJhhXamBU0RoTihLTctvOFSkPjvHLOgpZDYWyp0OOX/qePp4d0EAE16h6jF2rniTGYd6V5AWwxvx6xQvuygsaI8VRDw0FI7xOd4W7e65i0nsbcYGAMFet5QcDsSecjmgdSChrbf2gBKN+1SEcErOOAFdqXFTQ25W9/+xuFhYW88cYbTJ8+HYAbbriBY445hnvuuYdf/epXTJ06ldmzZ/PYY4+FdMyIg09Op5NPPvmEO++8k+eee85vYvGcnBxuueUW7r//flN3SfM4gkf4lFisZ9wMt0dnwep6zhyu4Ezp7L+ijUlwu90sWLCAM88807R1STQKLdAau/mldobBt8b0VD4fGR+Pru6NPpnaBZxRvHluhhXqn2i0MI6M6K4S5F3yOnNgSP4TXw/pGAJrbPSvlC5gT8BVmsLECu3LChojRzceBkWrZ7X3OibvGOj/+zazJ6ePKI3tP7Tgs1/9i3HJ4oEV2pcVNDZl3rx5HHvssb7AU3NOPfVUpkyZwgcffBBy8KldE1+kpaUxd+5cSktL+e677/j888/5/vvvKSkp4S9/+Qupqcn/Y5zIOOwwZWwaDht0xNxE8cDhcDBlyhRTd28UjUIL9MbFCjpi2KfXR+LR1V3XGyfLjK1/WaH+iUYhIJE0LW/wKUT/iauHdBDBNSqmmUPOCu3LChojJ8rznIZ5HZN8PuLtZBD6Z2b2+md2fWANjU3Ztm0bY8eObTXPyJEj2b17d8jHjMonZ7fbGT58eDQOJYSJww60sqieGbBCAxeNgh++m7+OeaoS34u92AefwBr1TzQKUUFrvKiwhf5ZJ88NY+S00KjrmO3BnxXalxU0JgQRXMckl480Bp/CXG3O7PXP7PrAGhq92O120tNbHyZ68OBBsrND7zEZ8eOaH3/8kX/84x8cOnQoaEH+8Y9/sHFjAi1TbjI8KixYXY8nxgutxBOPx8OCBQvweDp6tvGOQzQKLfDd/MU++OTzkbgtmKnEfKlgK9Q/0ShEDV+PhdCWWI+/h8SewBr1xtiTOQJQVmhfVtAYMb6eyFEizOuY5PSR8B6emb3+mV0fWENjU3r06MGuXbuCvr9161befvttJk6cGPIxIw7dPfzww3z66adBJxTv1KkTf/3rX1m3bh0vvfRSpKcRWsFhhzPHp+Goj/38UvHC4XBw5plnmjrKLBoFu1pC97qVZGt1QC1UbzHe6KBhd2eOD7Oru642PvVvJ96b3A4Ydmf2+icahYjQdSj7GhqaPEis/M74G8ZwmbA9JJ5E4F8ORefMcQ4ciof/z96bh8lV1fn/r3tvVVfvW5LO0unsIQkkIGCQRYIkEERUUBYHFX+KoBF1nEEWRZ1BvwOooI4zOg8jM4POgggCIpBAQxIIGDABEkIgCUnInk46va+13OX3x+2qXqu7qrpuLeec1/NUcrrq3OVd55x33fu5Z8Hu8yvHdL8jj4PnmUKG9iWDxtSw3NVnx0vHO9DzvpuO/p9vPmInGFSwTZK9dhG9/omuD+TQOJClS5fy0ksv4TgO2oDfus2bN3PLLbfwwAMPAPDDH/4w4X2m/M29/PLLrFixAl0fufOUYRisWLGCDRs2pHoIRQKYVl8hCnLxMxKmaQrfyJVGuZnafB8VPc9DF9A84IMMrYhiWkl0d7eC0LMvfefmr8rInCky1D+lURHFQUNPZOGTrp2w6x9H/iyJNp6Uh2STUCNEOpIaUgiAA2ZEx+e3B99vFkxClJ5PIEf7kkFj0rRuggktjGsq4EgHvHtb/3C7KPnkI8FjYHWDluBJFExM+vpF9Ponuj6QQ2OUq6++mscee4yXX36ZZcuWxd5fs2YNa9asYcmSJTzwwANJTb+U8jd37Ngx6urqRs1TW1tLQ0NDqodQjIFpQf2bfavdZftkPMI0Terr64VeVUBplJvC0A4CkT0A9BSeRnFx3xKumjFsSXMviPnI0kL8ifwi2GF3eeHqD4NRPP4T0P2eB9lkqH9KoyJhgg0QaXfTbW+4//uroGxxfx4jAFM+kdDukvaQbGKHoWg6VH0oqc1M06R+7et8bMUH8Q+86TACwkw4LkP7kkFjKmhmi/t7nspKd8FjEGmD4BE38KQHoPIs9zNfGUz8SEK7yQkfsUNQVAeVSxPLbwQSD1Qhfv0TXR/IoXEgn/zkJ+np6Rn03m9/+1tKSkpYuHAhJ598ctL7TLl5l5SU0NjYOGqexsZGCgsTW35SkTx+n8bl5xRBl7jD7vx+P5dffnm2T8NTlEa5mX38axT2xXBOVP8tM2dOz9zBg8fwW11cfioQ6nuNhR2CwFQonJY3y4vLUP+URkVCdLwN79wy/P3yU+GkO1LaZexaJFPYYejZn1rQxw5ByVwonJzUZn7g8strkz9eHiFD+5JBY2oY4K9MfrOu9+Dtbw5+r3AaLPh+0rvy3Ee638dd0W8U7BAUTEjaHxJF9Ponuj6QQ+NYXHfddePaPuXg0xlnnMGf/vQn7r33XiorK4d93trayhNPPDHm8nyK1HEch85ehzJHpE7fg3Ech87OTsrKygaNNRUJpVFuwr6phH06XfocgoGFuGPvMoTZhVMyl05nGmUlgcTLRg/kTeAJ5Kh/SqNiVJy+WXyj88nphf03m3oB1FyS+q6j1yJFWmbKxQ6BvxzKT0ut96W/KulNZKh7SqPE+JJsR44D2NAd9ZNA/xD6KZ9M6RQ89xHHgvIlUDh19HwFE9J/7OgpCF7/RNcHcmgcCcdxeOWVV3jrrbdob2+noqKC0047jQ9/+MNJfw8pB5++/vWv86lPfYoLL7yQX/7yl4PGAb700kt861vforW1Ne6E5IrxY1rw8vYQKxeIPezu5ZdfZuXKlcJ2b1Qa5WbvtN9TWlpKS3chNVrP2Bskgm2CHUwgXy+mfyovv3pQ6LKRof4pjYqBlIc2UR18AW1fDxx/hmFP/CddDHPSc30WuxY5I85wGSs4fB6YoURaE5/w2Oxye1eULgAjM73rZah7SqPE6MXAGG00eBSOPQVmJ5x4fvBnEy6Aed8e1ymM6SPgBpCs3pE/CzeP4jOOGxgrmQdF08Z1nuNB9Ponuj6QQ+NQ1q5dy1e+8hX27dsHgKZpOH2LdsyePZvf/OY3rFixIuH9aY6T+pJF3/72t/nFL36BpmkEAgGmTJnCsWPHCIVCOI7Drbfeyk9+8pNUd5+zdHR0UFFRwWuvvEhpaemgzyxbo7UnwBl1jZQVRuLsIc107YHJl7hdyRUKRdqwLIsdO3awaNEiDCO9s2AO9ZGW7kJqynpYMLl1/Dvv3gtGydj5NB2qzoLSk8Z/TIVCMYxMeshA5h66gkLr8MgbagbM/x5MOC+t5zMijuNOaj5WbyPNgMCkxHsl6YVQvljoxVYUiihe+UjUQ15Zv5bzTo4TuLF63OF1e+6FcNMIGXSYfxtMvDBt5xWX7lEWO9H8fR5SEedzA0oXJt/LS6EQgFQ95C9/+QsrVqzANE0+/vGPc/7551NTU0NjYyOvvPIKTz31FIZhsHbtWj784Q8ntM9xTen2s5/9jAsvvJB/+7d/Y/PmzRw+fJjKykqWL1/O17/+dS699NLx7F4xBrbj0NZlU8m41qfIaWzbpq2tjcrKyrgrK+Y7SqMi7TgOlM5zh6WMga0V0tbSInTZyFD/lEbFQAynGwCn5jI0fwWUzneHnIB7k5bGHkOxa5FSHX2kYJBeANXnuL2VRj3p4pwNJslQ95RGxYi8+103gByleDZUnwcVp0PxzLT5ySAfibRBuBEYcpPsWFBxWr+XDUJzA1M56iEgfv0TXR/IoXEg3//+99E0jQ0bNnDuuecO+uzb3/42r776KitWrOB73/seL730UkL7HPe39vGPf5zVq1dz4sQJwuEwjY2NPP300yrwlAEsGza/F8aydUSd9cmyLDZv3oxlWdk+Fc9QGhXpx3F7PvnGflm2LXzZyFD/lEbFQLTo8JOpn4YZ/x9Un+uuPOUrS/tQtf5rkZE+7etcn4gf5fBNowx1T2lUjEjwiPt/Ya27it3if4a669yeh2n0k0E+YvdCYR1MvnTwa8rH+447kofkbvA6iuj1T3R9IIfGgWzevJnPfOYzwwJPUc455xz+5m/+hjfeeCPhfaZlMUvLsmhqaiIUGnmppBkzZqTjMIoh+A2NS84sgq4xVm/IY/x+P5dckvpEqPmA0qjoJ10rVyZ+ASZD2SiNYiCDxnSh0XdhnMQy4KkSuxYZ5Wxy/aZwLGSoe0qjYkSiixUs/H9Q5N2Kj4N8JOy4vZhKZnt2vGwgev0TXR/IoXEgRUVFTJs2eq/lqVOnUliYeBB6XD2f3njjDS655BJKS0uZNm0as2fPHvaaM2fOeA6hGAXbcWhss7DTdb+ag9i2TWNjI7YtboBNaVREycbtmQxlozSKgQwa00Ws51MGgk/91yIjXYxE38vv4JMMdU9plBdttAdfTmYC2cN8JL8tY0REr3+i6wM5NA7koosuYt26daPmWbt2LRdddFHC+0w5+LR161bOP/98Xn31VVauXInjOJx66qmsXLmSiRMn4jgOF1xwAdddd13S+965cycXX3wxJSUlTJkyhdtuu41weOxVUJqbm1m1ahUzZsygpKSExYsXc//99w/L98orr3DhhRdSVVXFxIkTufTSS9m6dWvS55ltbBu2749g2wI6dB+2bbN9+3ahG7nSKDeW3fdyRr38SxKHRK/cZCgbpVEMZNA4XmzH9ZNM9nzqvxaJkyHPez2BHHVPaVSMSCyQnZbBMnEZ7CMOIs5mK3r9E10fyKFxIPfeey/Hjh3jc5/7HAcPHhz02cGDB/n85z9PQ0MD9913X8L7TNlJ/t//+38A/PWvf2XRokXous6nPvUp/uEf/oHe3l6+/e1v88c//pH/+q//Smq/ra2tLF++nPnz5/P4449z5MgRbr75Znp6evjVr3416rZXX301O3fu5O6772bGjBmsXr2ar33taxiGwY033gjArl27WLlyJcuXL+f3v/89oVCIu+++mxUrVvDOO+8wZcqU1L6QLOAzNJZ/oBC6Er/RzDd8Ph/Lly/P9ml4itIoN229hUT0QjQcDD1N4ackbvZkKBulUQxk0DgebAeOd5Tg182MBp9i1yKjkt/XKDLUPaVRXvy+ODfSjtPf80n3NviUmI/kN6LXP9H1gRwaB3LddddRWVnJ73//ex555BHq6uqYPHkyx48f59ChQ1iWxamnnjqss5HjOLz44osj7jNlJ3nllVf45Cc/yaJFiwYdCNzxgb/61a/YuHEjd9xxBw899FDC+73//vvp6OjgiSeeoLq6GgDTNLnpppu444474o47PHbsGOvXr+fBBx/ki1/8IgDLly9n8+bNPPzww7Hg0xNPPIHjODz66KMUFblji0899VTmzJnD888/n1JPrWxh2w4NrTZTC0R8PuBi2zYNDQ1MnTpV2FUFlEa5ObW2ifKyXgACvjhLHXuIDGWjNIqBDBrHg+No+A2LeRObodl9T9Mz0fOp71qkSkfXhwSZHDEejslQ95RGeZlV3Q6UD//AGTipsrff1yAfEbjnk8j1T3R9IIfGgbz88ss4joOmadi2zYEDBzhw4EDsc03TePvtt4dt54w4DN8l5W+tvb190HxOfr+frq6u/h3rOh/5yEdYu3ZtUvtds2YNF110USzwBHDNNddg2zb19fVxt4tEIgBUVFQMer+iomLQFxCJRAgEAoMmxopuM9oXlQyZ6mFuO7D3aATbyf8Lu3jYts3evXuF7t6oNMpNeWE49grEe/qYNIlP8CtD2SiNYiCDxvGiaVAeCA54IxNzPkWvRcY4sTxGhrqnNMpLwBdn5S5nwAMxj3s+DfYRBzTxbuxFr3+i6wM5NA7ENE0sy0r6Ndr3k3LLrqmpobW1Nfb3lClT2L1796A8wWCQnp6epPa7c+dOFi5cOOi9yspKpk6dys6dO+NuV1dXx8qVK7n77rt599136ezs5JFHHqG+vp6vf/3rsXx/8zd/g2mafP/736e5uZmjR4/y93//99TV1XH55Zcnda7ZxmdoLFtSiM8Qd8Zxn8/HsmXL8Pm8/dHLJkqjIu0kEUiXoWyURjGQQeN4cO/ZLLAHBJ/IzLA791pkpACTGNcnMtQ9pVExCMcBe8Aq5h7P+TS6j4iB6PVPdH0gh0avSTn4dPLJJ7Nr167Y3+eddx719fW8+uqrAOzYsYNHHnlkWCBpLFpbW6msrBz2flVVFS0tLaNu+/jjjzN58mROOeUUysvL+exnP8svfvELrrzyylie+fPns3btWv7zP/+TiRMnUltby4YNG3jhhReG9ZqKEgqF6OjoGPQCt4to9P/+tB3rQWVaDpbdn7bjpfvyRwamTSe2n2jacZxB6VDY5sBxE8uCiGnFjh/tBWbbNqZpjpq2LGtQ2rKsUdPRCGg0HY1sxktHIpFB6ZimvrTjOMPSQCxt2zb79++PTTgvgqah5WSaJu+//z62bQujaaiOcDjMgQMHME0z7zSli3g+YlnueVl2v19YQ7wjeR8B0BLSHQqFOHDgAJZlJVSW+Vg/lY/kpyZRfCRdjHUtUtLzGuc1fYiyt6/o30gzvL8W6WnjwMEGrI69RDreh+692F0D0g6Ypt13rvlZN5WH5KcmUTwkXdcica9D7OHXIc6OH8Dr18S2tRz3ljHtHhLpItLxPnbnXvYfaCDU9j6ETmBD3HLM17qZSBvLN03KQ/JHU66QcvDpsssuY8OGDTQ0NABw++234zgOH/7wh5k0aRJLliyhra2NO+64I20nOxqO4/ClL32J3bt389BDD7F+/Xpuv/12/u7v/o6HH344lu+9997jyiuvZOXKlTz//PM89dRTzJw5k0svvZTjx4+PuO977rmHioqK2Kuurg6A5tY29/+2dprb2mPvBXvcINmWPWH2HXMr46ZdYQ6dcCvaxndDNLS6lWDD2yGa2t30uq1B2rrcdP2bQTp73cq1enOQYBhMy02bFgTD8OwbIY40W3SE/NS/vAOAtra22JKITU1NbNiwAYCGhgY2btwIwKFDh9i0aRMA+/btY8uWLQDs3r2bbdu2AW7wcMcOd5/btm2L9WrbsmUL+/btczVt2sShQ4dcTRs3xurChg0baGpqcjWtW0dbm/s91dfX09nZ6WpavZpgMIhpmqxevRrTNAkGg6xevRqAzs5O6uvrsW13fOn69euF0TS0nE6cOMG7776LbdvCaBpaTq+++ipHjhzh4MGDeaWpvd1t1+kgno9sP+h6xI6DEXYcdH8ktu2PsPuI+35KPtJTkLDuZ599liNHjtDR0ZFQWeZj/VQ+kp+aRPGRdDHWtYi//RUM+ns99RQsBs3w/lrkrQBHuqroKDiN+p3ToPIs2ozTWLd7OlSfR5OzmA2vvQPkb3tTHpKfmkTxkHRdi8S9DjnktvHYdYhjobVvjm3X4VvCvmOuJ6TdQ3raWf3OVOyKD3KwaxIvvDcNJq2kLTJFqOsQcDtYvPPOO9i2LYwm5SH5oSmd9zPjRXNSnOgoEonQ0tJCVVUVBQXujc7GjRu56667eP/995k5cybf/OY3ueyyy5Lab01NDV/+8pe55557Br1fW1vLddddx49//OMRt3v66af5xCc+wbZt21iyZEns/RtvvJHVq1dz5MgRAK666ir279/P66+/HsvT1dXFjBkzWLVqFXffffewfYdCIUKh/q6nHR0d1NXVsXHDesrLy2JRf13XiJgO7cFCzqg7QZE/jKaBoWuYloOuuXmGpXXQNY2I5WBE06aDz3An8oqmwTXsgWm/T8Pp2oM5YSX+innYto1lWfj9/ljk2efzxU1bloXjOLE0gGEYcdOmaaJpWiyt6zq6rsdNRyIRDMOIpX0+n6upLw1udHdg2u/34zhOLK00KU3Z0hSJRNi1axeLFi3CMMY3fCWej7TseoyqytLY00ZD19zeUAO8I2kf6dmLPmkZkaIFqiyVJqUpi5p0XWfHjh2eekj0WmRi0y+Z3PU/hCd9GqPuc+ArxjD01DwkmWuRzn34JyzFqTxD2HJUmpSmbGpK17VI3OuQHb+nqrq6/zrECcGmvqlIznwIU69C0zVvPKT3EGZgDv6py4UvR6VJacp3D0kHKQ9Y9Pv9TJ48edB75557Ls8888y4TmjhwoXD5nZqb2+noaFh1CF87777LoZhsHjx4kHvn3766fzHf/wHPT09FBcX8+6773LOOecMylNaWsq8efPYu3fviPsOBAIEAoFh70dXdRm4uouu62h9E2sOHLecSNo/MO2Llx54fIc9RyPMLgN/3wfRippoemAFTCQ9cIxrImm/359SWtM0/H4/lmWxb98+Zs+eLYymoefrOA779+9n9uzZMXPJd01D047jsGfPHmbPnh07br5oShfxfMToa/fGAB8xkvSOYT7S92ciunVdj5VNImWZj/VT+Uh+ahLBR6IXnOlgzGsR+ob56YUYgdLY555fi2g2ew53MbvcVh6SR5qGnq/ykNzWlA7iXofoQ65DIuH+D/2V+AZM/u2Fh/j9ekptLN/qpuM4HDhwYNQ2lm+alIfkj6ZcIXfOpI9LL72UF154Ida9DODRRx9F13VWrlwZd7uZM2diWVasq1uUN954g5qaGoqLi2P5tmzZEhsvCW7kf/fu3cyaNWvc55/JqTUdB1o7bRyBV7tzHIfW1tZB5SUaSqPCGxLzBRnKRmkUAxk0jgfNiQaf/KNnTDOOo9HaGRa6XGSoe0qjIkbUSzQjAytmOoAuRdmIrlF0fSCHRq/JueDTqlWrKCsr44orrqC+vp4HH3yQW2+9lVWrVjFt2rRYvhUrVjBv3rzY3x/72MeYMWMGV111Ff/7v//L2rVruf322/ntb3/LN7/5zUH737JlC5/73Od49tln+dOf/sRll11GKBTihhtuyKjW8eIzNJYuCODTxW0APp+PpUuXDooAi4bSqEg7ScSjZSgbpVEMZNA4HjT6lkX3eFWqofh0h6Wn1AhdLjLUPaVRAYDZCa3uXDZoBRk4oAOaLkXZiK5RdH0gh0avybngU1VVFWvXrsXn83HFFVfwne98hxtuuIGf//zng/INnFkeoKysjLVr13LGGWdw++2388lPfpJnnnmGn//853z3u9+N5bv88st55JFH2LNnD5/5zGe48cYbKSoqYv369cyfPz9jOtOBZTvsPBTByp0J7NOOZVns3LkzrUMXcg2lUZFNZCgbpVEMZNCYKpYN2NkJPlk27NzXKnS5yFD3lEYFAO/dDe//s5s2hg/RGxeODZ27oGs3dO9xX3YENEOKshFdo+j6QA6NXpOTYbtFixbxwgsvjJrnxRdfHPbevHnz+MMf/jDm/q+++mquvvrqVE8vd3CgNyxur6covb292T4Fz1EaFelFI5nuTzKUjdIoBjJoTJbOoA/bbMOxetw39Axf2mnQGxL/QlyGuqc0So7ZCT373XTxHJj8sfTu3zHBKITKM6FgYv/7/kpAjrIRXaPo+kAOjV6Sk8EnRWIYhsbpcwugK9tn4h2GYXD66adn+zQ8RWlUJI3ZDcGG+J/bofifDUGGslEaxUAGjakwp+1O5vj6H9gNnOw3rfQeAmu4txh2L6cvqoEsr6DjJTLUPaVRclo3w85/APqGUyz4RyicMv799hxwezcB2GHwV0DxLCioHpTNAOHLRvT6J7o+kEOj1+TcsDtF4li2w/b94b5hd2JOOm5ZFtu3bxe6e6PSqEgas9O9KJy4bORXzcVQNG3s/SBH2SiNYiCDxlQoM7e6Cc2AgoloFad5cyArCKXzhvmNNfFitu8LCV0uMtQ9pVFyunbgBp50KD8VApPSs187AqUn9V2bXATVZ4OvfFg2GcpGdI2i6wM5NHqN6vmkUCgUeYcDegGUL872iSgUiixjOEE3cdr9UDTDuwNpGpQuhOIhx7AsMHZ4d1yFQuE9Vp+PTLsSZqZpASbHdn2j7OSEH4gpFAqxUcGnPMbQNRbPEn/Y3eLFYt9gK42KpHHstE0qLEPZKI1iIIPGVNCdvvkn9EJvD+QA2vAO8zKUi9IoBjJoTAkrBN273XRafcQBNDcANQYylI3oGkXXB3Jo9Bo17M4LrF6ItEK42dOXFWxmy3udWJa4k45blsWWLVuE7t6oNCriYkdGbv+RlrQdQoayURrFQAaNqaDT932ketNodg/2l94j0PUedO0Z/NJ9jDTEX4ZyURrFQAaNKbH1/4OObW46lRXu7HC/f/QcdFezi/qG5ieR200ZykZ0jaLrAzk0eo3q+ZRuHBsi7bhG631sr6gAd+4Xr594ZpGioqJsn4LnKI2KEQk1gu7vu3gbQOF08Fel7TAylI3SKAYyaEwWi0I6S86lzFeW2g6CR6BgwPwuRrE730vJ3CEZtcErVA1AhnJRGsVABo0pUzgNKpcmv13wmOsbmgG+MvBPh+KZfR/qwyYXj4cMZSO6RtH1gRwavUQFn7xA80H1OVBZ4+lhDGBhXfSYYk44bhgGCxcuzPZpeIrSqIiPDYEpMGnF8I/S1OZlKBulUQxk0JgKf534IrMnayzQ2lLcgw4VH3AnBR5Igh4jQ7kojWIgg8aUmHUTTD8HAqnet9hQXAfVH3b/TOH6RIayEV2j6PpADo1eo4bdeUbfGGcPX6Zlsfn11zEF7vpnmiabN2/GNM1sn4pnKI2K0YnjAWlChrJRGsVABo2p0B3yj2+9W01z53JK0WNkKBelUQxk0JgSE5aNI/AUxRjX9YkMZSO6RtH1gRwavUb1fMpjNE2jqqoKTdBeT6A0ioIMGr3D2+9MhrJRGsVABo2pcPLUZiaVFYxjD+ObN1KGclEaxUAGjfmKDGUjukbR9YEcGr1GBZ/yGMMwmDdvXrZPw1OURjGQQaM3OJ4PqZWhbJRGMZBBYyrUVnZRXlyStePLUC5KoxjIoDErOOO/VpGhbETXKLo+kEOj16hhd3mMaZps3LhR6K5/SqMYyKAxX5GhbJRGMZBBY3bQGE8PSxnKRWkUAxk0Zo/xBZ9kKBvRNYquD+TQ6DUq+JTH6LpObW0tui5uMSqNYiCDxnxFhrJRGsVABo3ZYXzD7mQoF6VRDGTQmB3G3/NJhrIRXaPo+kAOjV6jht3lMbquM3PmzLEz5jFKoxjIoNETHDwfdidD2SiNYiCDxnxEhnJRGsVABo3ZwWG8/RlkKBvRNYquD+TQ6DUqbJfHmKbJhg0bhO76pzSKgQwa8xUZykZpFAMZNGaNcQS5ZSgXpVEMZNCYr8hQNqJrFF0fyKHRa1TPpzxG13Xmzp0rdNc/pVEMZNCYr8hQNkqjGMigMSuMb9SdFOWiNIqBDBozhtkNoWOAA5F20tHzSfSyEV2j6PpADo1eo4JPeUx03KnIKI1iIING7/D2B06GslEaxUAGjfmIDOWiNIqBDBozhtkOgSlQPMv9u3DKuHYnQ9mIrlF0fSCHRq9RYbs8xjRN1q1bJ3TXP6VRDGTQ6A3j7JKQADKUjdIoBjJozEdkKBelUQxk0Og54WYIHoXgMfAVQ+Xp7qtw6rh2K0PZiK5RdH0gh0avUT2f8hhd11m8eLHQXf+URjGQQWO+IkPZKI1iIIPG7JH6nE8ylIvSKAYyaPScUBMUTYfySRCYlrbdylA2omsUXR/IodFrVPAp3Tje91SIous6NTU1GTteNlAaxUAGjd7ggOb9sDvRy0ZpFAMZNOYjMpSL0igGMmj0FMcB3QdVZ0FReoceyVA2omsUXR/IodFrVNjOAzxeGT1GJBLhueeeIxKJZOaAWUBpFAMZNOYrMpSN0igGMmjMHqlfuMhQLkqjGMigMTOk/0ZHhrIRXaPo+kAOjV6jgk95jGEYLF26FMMwsn0qnqE0ioEMGvMVGcpGaRQDGTRmhXHeR8pQLkqjGMig0Vu8G90hQ9mIrlF0fSCHRq9Rw+7yGF3Xqa6uzvZpeIrSKAYyaPQO74fdiV42SqMYyKAxH5GhXJRGMZBBo7c4gObJEA8ZykZ0jaLrAzk0eo3q+ZTHRCIRnnnmGaG7/imNYiCDxnxFhrJRGsVABo35iAzlojSKgQwaPUfT8GrYnehlI7pG0fWBHBq9RgWf8hifz8f555+PzyduBzalUQxk0JivyFA2SqMYyKAxKziMqyeDDOWiNIqBDBq9x5vgkwxlI7pG0fWBHBq9Rn1zeYymaZSXl2f7NDxFaRQDGTSOG6sXQicGvxdu9vywMpSN0igGMmjMCOFmMLv7/3asce1OhnJRGsVABo2eYEcgdMz936MVeGUoG9E1iq4P5NDoNarnUx4TiUR48sknhe76pzSKgQwax02kFfwVUDqv/1V9DhRO9fawEpSN0igGMmjMCOEWKJzS7zOVHwBfRcq7k6FclEYxkEFjWjG7oHsPdLwNehGULoCyU8BXlvZDyVA2omsUXR/IodFrNMdxvFu6QFA6OjqoqKjgtVdepLS0dNBnpmnT0dnDB05bRFlVjafn4TgOwWCQwsJCNA8m/8sFlEYxyFeNlmWxY8cOFi1alPaVLaI+0r7nccrLSqD3iBtomvzRtB5nLPK1bJJBaRSDfNSYUQ9JlO49MOliKJ2flvPIx3JJFqVRDPJVo1c+EvOQXQ9TXlnV/4FjQaTNvS4pPQmKZ4BRkjbPGIl8LZtkEF2j6PogfzV6eS2SLGrYXZ4jw5hTpVEMZNCYr8hQNkqjGMigMTOk96JZhnJRGsVABo3jJtzsBqCKZ0DRDKj4QEYOK0PZiK5RdH0gh0YvUcPu8hjTNFm9ejWmaWb7VDxDaRQDGTTmKzKUjdIoBjJozAjjnGB8KDKUi9IoBjJoTAuODf5KqL3GHZabAWQoG9E1iq4P5NDoNWrYXQrk0rA70zTx+Xx51fUvGZRGMchXjbIMu8vHskkGpVEM8lFjTg6769rj+kzJnLScRz6WS7IojWKQrxozPuwueAwKqmDKJ9J2rLHI17JJBtE1iq4P8ldjLg27Uz2f8hwZIq9KoxjIoDFfkaFslEYxkEGj52ixf9KGDOWiNIqBDBrHj0M2bhFlKBvRNYquD+TQ6CU5GXzauXMnF198MSUlJUyZMoXbbruNcDg85nbNzc2sWrWKGTNmUFJSwuLFi7n//vsH5fniF7+Ipmkjvn784x97JckTTNOkvr5e6EagNIqBDBrzFRnKRmkUAxk0eoZtgh3ue5lpH3YnerkojWIgg8ZxY0fADpHpW0QZykZ0jaLrAzk0ek3ODbtrbW3llFNOYf78+dxxxx0cOXKEm2++mc9//vP86le/GnXb5cuXs3PnTu6++25mzJjB6tWr+dnPfsZvfvMbbrzxRgD27t3LiRMnBm33hz/8gX/+539m69atnHbaaWOeY64Mu1MoFN4iw7A7hULhHVkbdmdHoPcwYLsBJ3QwitzPjABM/AgU1aX1fBQKhTdkZNhdYQgircS8omQuTLowbcdSKBTZI5eG3eXcdO33338/HR0dPPHEE1RXVwNulPGmm27ijjvuYNq0aSNud+zYMdavX8+DDz7IF7/4RcANRm3evJmHH344FnyaO3cuc+fOHbTtd77zHU4++eSEAk+5hOM4dHZ2UlZWllfjTpNBaRQDGTTmKzKUjdIoBjJoTBtWN/hKoXgW6AWABsUz3f81DfxVY+wgcWQoF6VRDGTQmDJmJ5QugIKJrlcYScwjlwZkKBvRNYquD+TQ6DU5N+xuzZo1XHTRRbHAE8A111yDbdvU19fH3S4SiQBQUVEx6P2KigpG69x15MgRXn75ZT73uc+N88wzj2mavPzyy0J3/VMaxUAGjfmKDGWjNIqBDBrTTuUHoWopVH0QApMgMBEKJoCWvss/GcpFaRQDGTSmjuYGn6Je4SvO6NFlKBvRNYquD+TQ6DU51/Np586dXH/99YPeq6ysZOrUqezcuTPudnV1daxcuZK7776bBQsWUFdXx5o1a6ivr+f//u//4m73+9//Htu2ufbaa9OmIVP4/X4uu+yybJ+GpyiNYiCDxnxFhrJRGsVABo35iAzlojSKgQwa8xUZykZ0jaLrAzk0ek3O9XxqbW2lsrJy2PtVVVW0tLSMuu3jjz/O5MmTOeWUUygvL+ezn/0sv/jFL7jyyivjbvPQQw9xzjnnMHv27Lh5QqEQHR0dg14Atu3E/o+lHSfW08o0TSzLiqVt2x41HYlEBqWj+4mmHccZlA6FQrS0tGBZVqznl23bg9LRyGy8tGVZg9LR842X9lpT9Nyjadu2aW5ujk04L4KmoeVkmiYnTpzAtm1hNA3VEQ6HaWlpwTTNvNOULuL5iGW552XZYPX5SCZ1Kx/JT01Dy0n5SO5qShdje4jT7yG2+0LTlIekoEl5iBiaRPGQdF2LxPUQ2wENLMvOmuZoGwuFQjHNInlIdH+NjY2jtrF806Q8JH805Qo5F3xKFcdx+NKXvsTu3bt56KGHWL9+Pbfffjt/93d/x8MPPzziNjt37mTLli189rOfHXXf99xzDxUVFbFXXZ07SWdza5v7f1s7zW3tALS0ttMbCoKmsWXLFvbt2wfApk2bOHToEAAbN26koaEBgA0bNtDU1ATAunXraGtz91lfX09nZycAq1evJhgMYpomq1evxjRNgsEgzz77LJs3b6a9vT02JLGtrY1169YB0NTUxIYNGwBoaGhg48aNABw6dIhNmzYBsG/fPrZs2QLA7t272bZtGwA7duxgx44dAGzbto3du3cDeK5p9erVAHR2dlJfX49lWWzatIn169cLo2loOTU2NvLqq69iWZYwmoaW06uvvsrmzZs5ePBgXmlqb3fbdTqI5yPbD7o/WDsaitlx0Mq4buUj+alpaDkpH8ldTeliTA85GGHHQfdCc9tBH7uPFWREs/KQ/NQ0tJyUh+SupnRdi8T1kEPuzeyOvceypjnaxl544QVAPA8BaGlpibUxUTQpD8kPTem8nxkvObfaXU1NDV/+8pe55557Br1fW1vLddddx49//OMRt3v66af5xCc+wbZt21iyZEns/RtvvJHVq1dz5MiRYdv84Ac/4Mc//jFHjx5l0qRJcc8pFArFIvHgrg5RV1fHxg3rKS8vI9rrSdc1whGLzs4eTj/9FIpKq9A0DcMwME0TXdfRdT1uOhKJYBhGLO3z+dA0LZYGNxI6MO33+3EcJ5a2bfepRTRt2zY+ny9u2rIsHMeJpQEMw4ibNk1TaVKapNEUiUTYtWtXWlaHiOcjLbseo6qyFKv7CBROwZh6adZ1i1iWSpPSlA1Nuq6nbYWZMT2k71rE0DWsUBvYJkbdVZi2rspRaVKa8lhTuq5F4nrIjt9TFWjBmnAJlMzKCc0ilqPSpDTlu4ekg5wLPi1btowJEybwxBNPxN5rb2+nqqqK//qv/4qtZDeUn/70p9xxxx1EIpFBs8//27/9G1//+tfp7u6muHjw5Hnz5s1j/vz5rFmzJqlzjC5N+torL1JaWjroM9O06ejs4fTTT6a0In5AKx3Ytk1TUxMTJ05E14XpxDYIpVEM8lWjZWVwmfTeI1A4FSZ/NK3HGYt8LZtkUBrFIB81ZtRDBhJpA9uE2qv6Vrvzjnwsl2RRGsUgXzV65SMxD9n1MOX+Zqi5FEriT0PiJflaNskgukbR9UH+avTyWiRZcu5bu/TSS3nhhRdi3csAHn30UXRdZ+XKlXG3mzlzJpZlxbq6RXnjjTeoqakZFnj661//yt69e8cccpfL2LbN9u3bse3cGceZbpRGMZBBY74iQ9kojWIgg8Z8RIZyURrFQAaN4yKLS8fLUDaiaxRdH8ih0WtyrudTa2srp5xyCieddBJ33HEHR44c4eabb+Zzn/scv/rVr2L5VqxYwYEDB9izZw/gjmtcvHgxBQUF/OM//iNTp06lvr6e++67jx/+8Id8//vfH3Scb33rWzzwwAM0NjYO6700FrnS80mhUHiLDD2fFAqFd8jQ80mhUHhLxno+Tf4YFM9K2/4VCkVuoHo+jUJVVRVr167F5/NxxRVX8J3vfIcbbriBn//854PyDZxZHqCsrIy1a9dyxhlncPvtt/PJT36SZ555hp///Od897vfHbbtI488wic+8YmkA0+5hG3bHDlyROjoq9IoBjJozFdkKBulUQxk0JiPyFAuSqMYyKAxZbLcFUGGshFdo+j6QA6NXuPL9gmMxKJFi2KrHcTjxRdfHPbevHnz+MMf/jDm/g3DiM0mn8/Yts3evXuZPHlyXo07TQalUQxk0JivyFA2SqMYyKAx/Xg/jEaGclEaxUAGjfmKDGUjukbR9YEcGr0m54bd5QNq2J1CIQdq2J1CoRgP2R92dzXo/rQeV6FQZJaMDLvzNcMUNexOoRARNexOkRZs2+bAgQNCd/1TGsVABo35igxlozSKgQwa8xEZykVpFAMZNOYrMpSN6BpF1wdyaPQaFXzKY2QYd6o0ioEMGvMVGcpGaRQDGTTmIzKUi9IoBjJozFdkKBvRNYquD+TQ6DVq2F0KqGF3CoUcqGF3CoViPKhhdwqFYryoYXcKhWI8qGF3irRgWRZ79uzBsqxsn4pnKI1iIIPG9OD95MBDkaFslEYxkEFj2nAcMuUnMpSL0igGMmgcH5m/BokiQ9mIrlF0fSCHRq9Rwac8xnEcWltbEbnzmtIoBjJozFdkKBulUQxk0JiPyFAuSqMYyKAxX5GhbETXKLo+kEOj1/iyfQKK1PH5fCxdujTbp+EpSqMYyKAxX5GhbJRGMZBBYz4iQ7kojWIgg8Z8RYayEV2j6PpADo1eo3o+5TGWZbFz506hu/4pjWIgg8Z8RYayURrFQAaN+YgM5aI0ioEMGvMVGcpGdI2i6wM5NHqNCj7lOb29vdk+Bc9RGsVABo35igxlozSKgQwa00tm5nCRoVyURjGQQWO+IkPZiK5RdH0gh0YvUcPu8hjDMDj99NOzfRqeojSKgQwa8xUZykZpFAMZNOYjMpSL0igGMmjMV2QoG9E1iq4P5NDoNarnUx5jWRbbt28Xuuuf0igGMmjMV2QoG6VRDGTQmI/IUC5KoxjIoHF8ZHe1O9HLRnSNousDOTR6jQo+KRQKhUKhUCgUCoVCoVAoPEMNu8tjDMNg8eLF2T4NT1EaxUAGjfmKDGWjNIqBDBrzERnKRWkUAxk0pk52l46XoWxE1yi6PpBDo9eo4FMKOI5r0N3d3cM+M02b7u5eOjo6sbWAp+cR7fq3ePFiDMPw9FjZQmkUg3zVaFkWXV1dsTafTqL77Ojscd/o7YVINxR1pP1Yo5GvZZMMSqMY5KPGjHrIQMI94NjQ0QG6t5d6+VguyaI0ikG+avTKR2Ie0tUDRi8Ud4KZ2WuQKPlaNskgukbR9UH+avTyWiRZNCcXziLPOHz4MHV1ddk+DYVCkSFaWlqoqqpK6z6VjygU8qA8RKFQjJd0+4jyEIVCLry4FkkWFXxKAdu2OXr0KGVlZWha9ibn6+jooK6ujkOHDlFeXp618/ASpVEM8lWj4zjYtk1FRQW6nt4p8pSPZA6lUQzyUaPyEDFQGsUgXzV65SO54iGQv2WTDKJrFF0f5K9GL69FkkUNu0sBXdeZPn16tk8jRnl5eV41gFRQGsVABo2Jonwk8yiNYiCDxkRQHpJ5lEYxkEFjIuSah4AcZSO6RtH1gRwavUKtdqdQKBQKhUKhUCgUCoVCofAMFXxSKBQKhUKhUCgUCoVCoVB4hgo+5TGBQIB//Md/JBDwdlW9bKI0ioEMGvMVGcpGaRQDGTTmIzKUi9IoBjJozFdkKBvRNYquD+TQ6DVqwnGFQqFQKBQKhUKhUCgUCoVnqJ5PCoVCoVAoFAqFQqFQKBQKz1DBJ4VCoVAoFAqFQqFQKBQKhWeo4JNCoVAoFAqFQqFQKBQKhcIzVPBJoVAoFAqFQqFQKBQKhULhGSr4pFAoFAqFQqFQKBQKhUKh8AwVfFIoFAqFQqFQKBQKhUKhUHiGCj4pFAqFQqFQKBQKhUKhUCg8QwWfFAqFQqFQKBQKhUKhUCgUnqGCTwqFQqFQKBQKhUKhUCgUCs9QwSeFQqFQKBQKhUKhUCgUCoVnqOCTQqFQKBQKhUKhUCgUCoXCM1TwSaFQKBQKhUKhUCgUCoVC4Rkq+KRQKBQKhUKhUCgUCoVCofAMFXxSKBQKhUKhUCgUCoVCoVB4hgo+KRQKhUKhUCgUCoVCoVAoPMOX7RPIR2zbpqOjg9LSUjRNy/bpKBQKj3AcB9u28fl86Hp6Y/XKRxQK8VEeolAoxotXPqI8RKGQAy+vRZJFBZ9SoKOjg8OHD2f7NBQKRYY46aSTKCgoSOs+lY8oFPKgPEShUIyXdPuI8hCFQi68uBZJFhV8SgFN0zj77LM5fPgwZWVlwz53HNiy+a/Ytk1JaZFn5+HYDi3tHVRXlKPpYj6xUBrFIK81GgFPnhKM5SOZwrIs3nvvPU466SQMw/D8eJFQiK1vbsHng8KiQs+PB3le/xJEacxhlIfkPV5p7O3uZOvWtykp9uH3Z/eGIG/bVxLktUYPfCRXPASUj4jAePR1d7bx1lvvUl5agOHL3fCE8pDxk7ulm8NomkZ3dze6ro/YuBxnQF4vz0PXmFhV4eERso/SKAb5qjHalL3ojj6Wj2QKwzBYvHhxxo5nD9CaqZ/tfK1/yaA05ibKQ8TAK40DbwSyfRuTj+0rWfJVo1c+kiseAspHRGA8+nRdj1X0bHvhaCgPGT/ZD38pUsa2HRqbWrBtZ+zMeYrSKAYyaMxXLMtiy5YtWJaV7VPxDBnqn9KoyBYyeIgMGmVoXzJozFdkaGOiaxRdHygPSQcq+JTHaJobZc6BIKZnKI1iIIPGfKaoyLvhwbmADPVPaVRkE9E9BMTXKEP7kkFjPiN6GwPxNYquT3nI+FHD7vIYTdOYkIdd/5JBaRQDGTTmK4ZhsHDhwmyfhqfIUP+URkW2kMFDZNAoQ/uSQWO+IkMbE12j6PpAeUg6UD2f8hjbtmlobMa27WyfimcojWIgg8Z8xTRNNm/ejGma2T4Vz5Ch/imNimwhg4fIoFGG9iWDxnxFhjYmukbR9YHykHSggk95jKZpFAYKcmLyMK9QGsVABo35iqZpVFVVCV02MtQ/pVGRLWTxEBk0it6+ZNCYr8jSxkTWKLo+UB6SDtSwuzxG0zSqKrK7NKrXKI1iIIPGfMUwDObNm5ft0/AUGeqf0qjIFjJ4iAwaZWhfMmjMV2RoY6JrFF0fKA9JB6rnUx5j2zZHjp0Quuuf0igGMmjMV0zTZOPGjcJ3kxa9/imNimwhg4fIoFGG9iWDxnxFhjYmukbR9YHykHSggk95jKZplJYUC931T2kUAxk05iu6rlNbW4uui/tzIEP9UxoV2UIGD5FBowztSwaN+YoMbUx0jaLrA+Uh6UANu8tjNE2joqwk26fhKUqjGMigMV/RdZ2ZM2dm+zQ8RYb6pzQqsoUMHiKDRhnalwwa8xUZ2pjoGkXXB8pD0oG4oUkJsG2bQw2NQnf9UxrFQAaN+YppmmzYsEH4btKi1z+lUZEtZPAQGTTK0L5k0JivyNDGRNcouj5QHpIOVPApj9E0jaryUqG7/imNYiCDxnxF13Xmzp0rfDdp0euf0qjIFjJ4iAwaZWhfMmjMV2RoY6JrFF0fKA9JB2rYXR4THXcqMkqjGMigMV+JjtEXGRnqn9KoyBYyeIgMGmVoXzJozFdkaGOiaxRdHygPSQfihiYlwLZtDh45JnTXP6VRDGTQmK+Ypsm6deuE7yYtev1TGhXZQgYPkUGjDO1LBo35igxtTHSNousD5SHpICeDTzt37uTiiy+mpKSEKVOmcNtttxEOh8fcrr29na985StMnDiR4uJiPvKRj7B169ZBecLhMLfddhvLli2jpKQETdNoamrySIm3aJrGhOpKobv+KY1iIIPGfEXXdRYvXix8N2nR65/SqMgWMniIDBplaF8yaMxXZGhjomsUXR8oD0kHOVc7WltbWb58OeFwmMcff5y7776b3/zmN9x8881jbnvttdfypz/9iZ/+9Kc8+uij+Hw+li9fzqFDh2J5enp6eOCBBygsLOT888/3UgrgeLp3TdMoKSoUugEojWIgg8Z8Rdd1ampqMnqx4K0zDkeG+qc0KrJFNjwk08igUYb2JYPGfEWGNia6RtH1gfKQdJBzteP++++no6ODJ554gksuuYTrr7+en/70p9x///0cPXo07navvfYaa9as4T//8z+5/vrrueyyy/jzn/+M3+/nvvvui+WrrKykpaWF+vp6/uZv/iYTkjzDtm32HWoQuuuf0igGMmjMVyKRCM899xyRSCTbp+IZMtQ/pVGRLWTwEBk0ytC+ZNCYr8jQxkTXKLo+UB6SDnIu+LRmzRouuugiqqurY+9dc8012LZNfX193O22bNmCpmlcfPHFsfeKi4s5//zzeeqppwblFSVaqWkaUyZVC6NnJJRGMZBBY75iGAZLly7FMIxsn4pnyFD/lEZFtpDBQ2TQKEP7kkFjviJDGxNdo+j6QHlIOsi54NPOnTtZuHDhoPcqKyuZOnUqO3fujLtdMBhE13V8vsEL+AUCAfbv309vb68n55tNNE2jqDAgdANQGsVABo35iq7rVFdXZ6GbdObqggz1T2lUZIvseUjmkEGjDO1LBo35igxtTHSNousD5SHpIOdqR2trK5WVlcPer6qqoqWlJe528+fPx7Is3nzzzdh7tm2zefNmHMehra0t5XMKhUJ0dHQMegFYlhX7f6S044DjOLFzGW/acZxBadM02XvgCJZlxbr/RfOkno4ec3A6nTpG0zT0vGzbZs/+w7GVE0TQNDRtWRZ79h+ObSOCpqHpxOpq7mnCSd/sRKn6iGmag9LRc4uXjkQig9JR3dG04ziD0j09PTzzzDOEw+FYV2nbtgelo+0vXtqyrEHpsb0xveWqfET5SC5rShfKQzKnKXru0XQkEuHpp5+OPchMp6ZcaW/KQ3JXU7quRXLVQwa2sZ6entj3I5KHRL//p59+OrYvETQNLKdE9MXXNLBtKA/JVQ9JBzkXfEqVlStXMnfuXFatWsX27dtpbGzklltu4f333wfGN9TunnvuoaKiIvaqq6sDYPv27QDs2LGDHTt2ALBt2zZ2794NQFtnF20dXQA0NDbT0eUa6pHjTXT3uBcwhxsa6QmGADhw5DjBkLuq375DDYQjbuN8/+DR2AXK+weP4jgOlmWx//Axpk+twTQt9h1qACAYCnPgyHEAeoIhDjc0AtDd08uR4+6qfh1dPTQ0Nrvn2NHF8aZWAFraOmhqcdPNbe00t7UD0NTSSkub+wN1vKnVU03vH3Tn9QpHTPYdakDTNGomVnGoT4cImoaWUzAUxucz0DRNGE1Dy6mhsZnpU2vo6u7NO03pIlUf2bJlC/v27QNg06ZNsQUUNm7cSEODe54bNmyIrdq5bt26WLC9vr6ezs5OAFavXk0wGMQ0TVavXo1pmgSDQZ5//nnOP/98ent7Y0Ob29raWLduHQBNTU1s2LABgIaGBjZu3AjAoUOH2LRpk/v97tvHli1bANi9ezfbtm0bVVNHVyddfWWmfET5iOg+ki6Uh2RO0+rVqwHo7Oykvr4en8/HaaedFtORLk0739tNb9Ctd9lub8pDcltTOshVD1m9ejU+n48zzzyT9evXA+J5CEBXVxc+nw+fzyeMpoHl1NbWRiAQwOfzJa1p7/v76Am6bSkX2pvyEO/QHCeHQmFATU0NX/7yl7nnnnsGvV9bW8t1113Hj3/847jbvvHGG1x77bWxRrhkyRJWrlzJv/zLv9Dd3Y3f7x+U/7e//S1f+tKXOHHiBBMnToy731AoRCgUiv3d0dFBXV0dLS0tVFVVxaK2hmH0VQLYsvmvWJZFaWkRmqZh2zaapo0rDW4Uc2Ba1/VYpDM9adB1LRapjaY1jbTpUJqUpnzShK+QRYsWjXsMe7I+Ek2bpommabG0ruvouh43HYlEMAwjlvb5fGiaFkuD++RrYNrv98ee6Pj9fmzbxrKsWNq2bXw+X9x09Mcvmh5JRzRtmyabN23G79MoLi5U9VNpElqTputgBJSHpNFDRNLU2d7K1q1vU1rix2f4VHtTmjy9FlEeojTlqqb21ibe2vouFeUBdN3IentTHuIdOdfzaeHChcPmdmpvb6ehoWHYXFBDOfPMM9m1axfvvfceu3bt4q233qK3t5czzzxzWOApGQKBAOXl5YNeQKzwDMMYMR2tHOCOgx1vWtO0QWmAPfsPxypW9JjjS0ePOTidTh2jaRp6XrZts/fAkVhZiKBpaNpx3Ih11ERE0DQ0DYnU1dzThJa+Md2p+ojP5xuUjp5bvLTf7x+UjuqOpjVNG5QGePLJJ2MXEtHvaGA6euERL20YxqB0tr1R+YgYmoTxkTShPCRzmqLnHk1HIpFBi9ekU1OutDflIbmrKV3XIrnqIdE29uc//zl2rqJ5CLjDzFavXk0kEhFG08BysiyLZ555ZlR98TUNbBvKQ3LVQ9JBzgWfLr30Ul544YVBczQ9+uij6LrOypUrx9xe0zTmz5/PSSedRFNTE3/4wx+48cYbPTzj7KFpGrOmT4lVQhFRGsVABo35is/nY+XKlcMWaxAJGeqf0qjIFjJ4iAwaZWhfMmjMV2RoY6JrFF0fKA9JBzlXO1atWsW//uu/csUVV3DHHXdw5MgRbr31VlatWsW0adNi+VasWMGBAwfYs2dP7L277rqLefPmMXnyZHbt2sXdd9/NmWeeyRe/+MVBx1izZg3d3d28/vrrADz11FOUlZVx8sknc/LJJ2dEZ7pI95PVXERpFAMZNOYrIl8oRJGh/imNimwhg4fIoFGG9iWDxnxFhjYmukbR9YHykPGSc99eVVUVa9euxefzccUVV/Cd73yHG264gZ///OeD8g2cLT9Ka2srt9xyC5dccgn33HMP1113HU8++eSwSvK1r32Nq6++ml//+tcAXH/99Vx99dU88sgj3opLM9Eu0o6TU9N2pRWlUQxk0JivDJxQUlRkqH9KoyJbyOAhMmiUoX3JoDFfkaGNia5RdH2gPCQd5NyE4/lAR0cHFRUVtLe3x8ZLD8Rx4PXXNmLbNqWlRZ6dR2xC0wHzLoiG0igG+arRgbRNFjyUsXwkU0QnjoxONOk1kVCI1ze/jt+nUVQU8Px4kL/1LxmUxtxEeYgYeKWxp6uDN998i5JiHwX+grTtNxXysX0lS75q9MpHcsVDQPmICIxHX1dHC1vefIfysoKc7j2lPGT85FzPJ0Vy2Lad7VPwHKVRDGTQmK+I/JQqigz1T2lUZAsZPEQGjTK0Lxk05isytDHRNYquD5SHjBcVfMpjHMdh/+FjQnf9UxrFQAaN+YppmtTX1wt9wSBD/VMaFdlCBg+RQaMM7UsGjfmKDG1MdI2i6wPlIelADbtLgVwZdqdQKLxFhiEzmSYbw+4UimyhPEQxGrk07E6Ru8gw7E4hN/ky7C5fyaVhd6p08xjHcQhHTAr8mR07bNnQ1ls47H2/YVFeGIn93dJdSLzIpk+3qSgKD8gbwGG4BsdxcOwIE8usmMbWngC2M7JeQ7epHLDftp4AVpy8uuZQVRyK/d3eW4Bpj9wZUNMcqhPNi0N1SX/ejmABESt+J8Pq4t5YOXaFCghb8U2hujhItKi7Qn5CZvy8VcVB9L683SEfQTN+c68sCmLoieWtKArh092S7Qn76I2MkrcwhM9wx0e394DpFMatq+WFYfyG25W1N2LQE/bH3W9ZIEyBz80bjBh0j5K3NBAm0Jc3ZOp0heJf4JcURCj0WwCETZ3eiI/y0rjZhcBxHDo7OykrK8ur8evJkC2vzCRKoyJbyOIhMmgUvX3JoDFfkaWNiaxRdH2gPCQdqODTOHjvMJSWjfyZ5ehoeDsm1HEcDjc0MrtuakYbwONbT+JI+3Dhcya08clT98b+/r/XF2HFCdDUVXZw5em7Y3//4c2FhOIEPCoDLXzh7L0xjY9tPSluAGFiSQ+fP2tH7O8n355Ha8/wQBm4gZEvnbM99vfT2+dyoqt4xLzFBRG+ct622N/P7ZjF0RG+A4ACw+KmZVtjf6/dNYMDLRUj5tVw+OYFr8fK8cXddextqhoxL8A3lr2Jz3ADP6/srWXn8Qlx86768NZYIOW1/dN4++ikuHm/fM42yvoCh68fnMKWw5Pj5v3CWdtjwbWth2vYdGBq3Lyf/eC71JT14jgOr+0pYWfLyXHzXn36LmoruwDYebyal3bPiJv3ilN3M2tCBwB7TlTywq5ZcfN+fPFe5k1qA2B/cwVr3p0TN+8li/axaEoLAIfaynjr8CQ+deahuPlzgc4eMFOwmvYuCEbAskzef/tl5ixZiWHED+KlCzOixQ0ee0W2vHIsGjuLeGXv9LifL5l2gvk1bYAbzH9xd13cvAsnNxEIb2d23VQ6ggHW7poZN+9JNS0sntYMuMHm53bMjpt37sQ2Tpt+AnADvavfid9+Zla3c+aMRgAilsZTb8+Lm3d6ZSdnzToGuL2Fn3hrfty8U8q7OXfO0Vg5vt22DNsZ+bdlUmkP5887Evv76e1zCMcJ0lcXB/nISf3te827s+iNE8guLwxx0cKDsb+f3zmTzuDIv0MlBREuOXl/XD2iYZomL7/8MitXrsTvH91DHAc6esBOc5/7YNjdr1d9+b3yyVDQwLFzw5PCpsabex0mTyxH63tyVVPaQ0nAHULTHfLRGOcaCWBiSW/sOqIn7ON4Z/y8E0qClBe6Dwp7IwbHOkri5q0uDsYeVgYjBg2j5K0sCsUeKoZNnSPtg58eObbDsaYWpkwsp7I4HLuWiVgah9viXNDjPvCaWBoEwLQ1DrXGz1saiDCptBcA24YDrf09iixbZ9uRidD3sPXMGceYWd0JQEN7Ca/umzbiPmdPaOMDszriHlMEkvGRTNLVCxErPfsyTZO/vvIyH/rwSny++BrbOiGUhyPXxuOToV5fxq8NUyEd15OWrXG0vRTT1phV3RHrVNDYWTTqw/QZVR2xjgJNXYV0jvIwva6yM3a/2NxdSGfIz8xJ4bj5M4kKPo2Dpg7ojXfTZ+mUByKAd8PudF1n7sxaz/Yfj+jFR8Bnomv9V3oFvsHuXOQ3seJcVI2Ud+C+BlJRYqDr/Tcahb74+w0M2W/AZ1Lkj4yYt9BvJp7XNzSvFTdvtPdOlIJR8moMLsfR8g6lwEg8r3+MvAP902/YCef1JZhX13UmV5dxoDN+3oHl79OdUfebal5jjLyGPiCv5gyrT7lGxIRdh6GzN/ltHcA0oSjgp3L2ZbR0pf30RsZ2633AZwKZGXaXLa8ci5Dp42Br/KEOM6vbB+Q1Rs07raKLs2e7GiOWPmremrKeWNq0R89bVRyMpS1bGzVvaaD/wsZxRs871H9Hy2vorqdGy3H1/vK4DzaGBjUOt5bF7ckZHtIj9WhbWdyLuQklgxvZ0fbSuA82ygtDI74vGt1B2HMUbMfPtIWXsf3g2NvYthsoCntwYxWKQMnIRZIGPPJJU0PXHPx69iewXfvebN5rrIZj/e997JS9nNQXAD/SXjZq8Hnlwn2cPNV9eHO8o5gn344fUL7wpIOcVusGtZu6inhyW/y8H557mA/OOA5AW29g1LxnzzrK2bMbAOgMFcTPewzOrDsWC1T3hP2j7vfU2kaW9wWqw6Yxat6TpzSxctEBwH0QPVrehVOaY+neSPzfg8riICB28Mnv93PZZZelbX/NHXCwEUYYVJEwjgPhCPSm7Z7dT0ndZWw/MPZxLRsK824k7jh80tTxGRY+PbdDE+m4nnx131ReP+g+uP/mBW9g9NXRNw5OYVdjddztVn14K4bu3pdsPVzD9ob4nQpuOHcbpYZ7v/P20Ym82zCRr124I27+TJLbJZzjVJXG7/lEqNe7R3B9OI5DMBSmMFCQ0af50cj0F856J/ZEbCRuOPfthPf5xbPfGfH9qEbH6dc4sGfTWPzNmbsSznvVgJ5YY3H5gB5eY3HZKftG/XxgOV6yaIxfpAEsX3CI5QsS65WzbN4Rlg3oDTAa5845yrlzjiaU96yZxzhr5rEx8zmOw8JJh/jA9OMJ1dUl05pYMq0poXNYOKWFhX29lcZi3qS2WC+osZg1oYOZEzrIVIAkFWzHfSJXXgyBFB4Uaho4jk2wp43C4ko0LQNrUNhAuBe05E7Ycdyn6fEwdCfW0w/cp/T92zqEwhECBX40TRueN+wj3hhhXXcoGpC3J+yLa+265lBUMHrejmCA1t4AE0t6qS7u5aOL4vvDwCBRZVFw1LwTSnroDYYoDBRQGoiMmrd6QCClyG+OmrdyQPAp4LNGzVte1B90MXR71LxlQwI0o+Ut6QtqRb3y4gX7iXdHUVwwOLi8fMEB7DiBqqEBsAvmH8KMM0R66AOT8+cejtujym/kdtA6XQTD7g1ewG9jBtvwFSbmIX4fVMTvvJIyXl4GpeKTwbB7AzkShQW4T7BNh3BviJ5IOcQJkhb6rdiDkYilEzbjHz/gt2LD4iOWFreOgtueo0/GTUujqct9WFpZFIzV98IB9T7gM6kp6467v4GeWuCzRs078CFQgWGPmndgm/bpo+ctCfTnNUbK64DtOOiaRmlheEBeZ9T9lg0IrOva6HnLB+xXY3heDTeYPaOqk6kV/Xfpk0p74vpgZVFwxPdFwrZt2traqKysHPTAOfZ5XyAoUVq74Fjr+L1G02BixbhiWDEcxybU00YgAR9Jp5/1hoY/mPEbUNB3GWbbowfYfEb/NabtuPsbCcexMUPtVFRUoGm6e90WJ29jm/uwoKbS/bu5BbYfr4MTAdCG+9bcia1MrXCviVp7ArzTMDHu+c6e0B4bSdERLGDbkfhBmpnVHdRVub0Pu0O+UUd+TK/sZGZ1u3tfqhXz5uEpcfNOrehi7kT3AWLI1Nk8YJTInhOVgPugamAxlxeFRvWWgQ/TywrDiecNhJk44Hoy26jgUx7jOA7HTrQws3ZyRoNP37xgC7bt7YVelGxpzCRKoyIe7d3uzV08QhFibTHVr9WxLY7t38zMhcvRjAwEn8bBAxtPi/vZrOp2rjhtT+zvB19bEndetumVnVx1+nuxv/9308n0RkYOhk0u6+baD+6M/f371xfSGRo5IFld3MsXPvRu7O8/bjmJlp6Re7/OntDG5afuTThwWlRgjZrXtm0OHHHbWKF/9LwDKfDZCef1GU7CeQ2dhPNqWmJ5oz5yUq1/xJuTkYj22kiERAPTAHMmto+dKY+JmHCk2Q2exLOW7r774fIiiwMHXA/Rc9xDUiVZn3z3INS/Ef/zz17Yf9O1tWEGGw+eFDfv1afvpLbSvcnYfnQiL+2JP/z2U6e9FxvGtet4dcJD0vc0Vca86tKT9zC5fPgd48zqTmZW7xz2/kjUVnbz2Q8mlndyeU/CeSeWBhPOW1kUHpbX9cnjzKydPMhDSgORhPdb6LcSzusznITzlhVG4vqgexuZuw/CxotpwYHjFju3buakU5djjNDGuoPQFUzuuX5RwJtAd6o4tsWxPq/UEvwNGy9/eQc2vzf8/TPnw/mL3XRnLzxYH38fp82BC/suv3pD8MCaeDl1ZpR3c8VHStEMnYg5Wl645EyYVOFeA7R167x+JH7PyvLCUCz41Bks4PWD8QM/xf5ILPjUFfKPmtdvWLHgU09k9LzgMKOqjWMnWqioLh017wdqG2PBJ9PSR8x78cIDDKwG5805ynkJPvz/0KxjfGjW2A//Ac6c0cgZMxrJFQ9Rwac8Rtd1ZtfFn2/H22Nn6jjZ05gplEZFPDp73GF1xaP8Xmia25MgVXTDz+xTLkl9Bxkl/lWnNmzYrjNK/pHeT/CKVoufd+QA4PC8hu4kFehIBBnamAwac4VgGA40gmXBaLGWokC+eUhqJKuxOenYZDI95b3LO6m0lwmluTEviBcoD8lNQhE42uKncOolHB3lOYTPcD0nUcpybMHxbHjlwcaR30/meWUyecuqpqMnuJja/uMwv9Yt18oSmzOm7gNj5J5PE0v7e2yXFYY5o+543P0O7DVeUhAZNe+U8v7eQ0V+c9S8tRVdMQ/pDduj5p02oFejzxietzQQZnplZ9ztRUZzHI/HhglIdGnSVT9vJ1A08vjsUyfv40N1+8BfQWfQz8NvLIy7v5OnNHPeXDfS2Rsx+N9N8Sdlnl/TykfmHwbcySF/+9riuD0eZk9oHzRB6gN/WRJ3v3VVnXx0wASpD766GDPOvEpTK7r5+OL34+4rnTiOQ08wRHFhIOM9ZrpDPkKjrDyXLhzHIRLuxV9QJGyvoHzWWFWGp8ukv7evnbI4Sxw3d7pdk6NPyJPhrffd3gsjUVQAp8xy021dNo+85PQ9hRteNqfMhHP7LKk7CA+tj3/MBdNhWZ/NhCLw3y+MkMlxwAkzd0Izyxe6c3PYNvznq8P9qTfix3Y0lkw7wYoFCUwoE4ds+ki6Ma2Rz99xHILBIIWF8VeUzHe81tgd9sddHXU8eO0hoy2TPtADesPQk+DonY5eaGiG6nJiq6bGw3FsejqbKC6bmNCQtPcbYEJ5f4+Exrb4N0gAc6e50xwArN3qbh+P/+9iKOgLxr+0Dd4bZbT555b3B/b/8o7bWyke15xv47NdjZvf03lrlEugK89zvzdw7W7Uqmp2Q/Mr4C8F3bMJqxJCJJ+MR7Ia3bl3cuO7MAoK0u4jiXhIogz0Ggdo6STh2GdXEA432RTSRGl5Yj6STkwLto4ym0Z1Gczpi1laNvzXc/Hznr8YFvZ1TjzcBGs2D/zUwbHt2PXW2QthSd96H8da4Km/xt/vB0+C0+e66aYOeOIv8fN+YA4sXeCmn/6rOzffZy6AqfGnE0oLyf4WDCLSAS0bwV8Jeu5MOD+UfPVJB8AIeHItkiyq59M46AmBGafehQeM3bcdje5w/FnjBgY4nLHymgPzOvRERss7uHhH228wMjSvD9MeuXL2RjI3marjODS3tFE0tSbjjbwr5Ke6JDhsro90Y9s2h9qamFw5MeGhJPlGvmp0+854++hs1xEoGeUpeaoTTm5+z12lZSQmlPcHn2zLHnUupYETAztO/1CbkQgNmY9h5LwaEEjKn050ja8Msukj6aS9t4CIpY8YDHAcm47WRsqryjN+4Z4pvNZo6DZlgXBaPT8THhKP5g7Y2+AGd6N09rpPmRNBI7En3o5t03x0O0Xzl405JK2jB/78Gly6tD/4dLwVXhl52kfADTxFg0+h8OgeNPBmN2yOntdJIq9l27T3aQxH9FHzDpxbJZ/sRhSfHI1kNTZ1F8YmA84uDlU5Nvl0KOL2jARo6+4bpmsN/ty0Eh8p4Tg2Lce2U1I6to8kytFm2DnK1KiLZ7kP9yx7dA86aXp/8Gms66CBQTjLGppXA/oNeOAqenYS+7Xt0fMOvG4792Q3uB/1UC9J5rcgX3Ccwffetm1zormdmklT8up+BiCQ3ZhTDNXzKQWiTwqe/ks7JaUjPyko6nqV0oJe8Fdg2RotcVbFAXcltejytLYNzXHmCAF3wsfyaF4Hmrvj5y0wrNjytDD6DdzQvE1dhThxLjv9uk1lsfir+TR2FrF4WnNsyVyFfFi2xo6mqZ72Wnjt7XZKy8b3xDFKKOIOkTF02PA2BONMzllW1N+bybTciTnjUVQApX3WYdl9TzPjUOiHsr7VtW0nznxVdgTa3iTgh/JSNwDlONA0ipdVFQdjk+jKTEtPgLJAmHmTxJ5vKFtoOBQVmGP29EmGTHhIvF4Lx1th277BNx1+X+LBJy841goPv+h6xaqPu+8dOjF6r6PT5/b3/uzoGR7kHsiEAT21OnvieyC4vRmi90ddvaNPuFtV2v+9dQfjT6I7NO+Y5FDPJ8VwGjuLqK3sYlpF/Il9M4HtaBzsmJgzPZ8s2+1dPbAnZXfQbX9RdD21hVDSyTsH4Pk3439+2VnusK+ICeveip9vSpU77xG41zYvvOnOVTR9hHmsSwv7hwaGI9A+yjzPJYX9vS8jphvEi0dxoH81z7Gu24bmNa08WDkvR3s+dYX8hEwDXw6sSDpeyks11fMp35lQBnHvGSPh2BM4Q3cSDmDoOgnn1XAo0popKU5sKFMyQZSJpbmxsobjOHT39CasMR+xbYeGVpupVTp6Ou96cggZNOYC//ms+8Tr/7sILjg1sW0M3abIaaCkYuqYvUkM3b3gSgRdi5PXdsDs6lvtzv0J0rTk/ClZhPERx119qjQw/I5ahjYmg8Z04uCuaJTMHCkpHcex6W5PzEOiPSMG3gjVTXJfiVBenPh5lRVDvAWJh1Ja1B9kHwnHselqczWWFOqxGzuREMYnRyFZjRrunDEjeW4myZWhf1Fs2w2sGIb7gArcnozj6QiSjI+Mvh/3f63vGuRD8Wc9obrPIPw+d/LrRNA1WJlg3gL/4Oug0TT6fYlfX/mM5PJm6oFDusowl7BsjZKCCIunNQPudUhjm0VNpZFX1yGWo/F+a022TwNQwadxsf84LElPh4WUcByH1o4uiovEnuNDdI22A3uPRphcGUAMqx6ODBpzgeiy3sk81HBsm9bGvRSXTRamm/RQxPERLe4wHhnamAwa04qT3HTTKR8mCQ9JxaNyAeWTYpCsRoex5zyTkehyHn5jfAueDNpnmtrYwUb406swtQquuSC1OTO9QnQfEVWfT7cJ9A3HNy2HA8dD1E4I4MuNMbkJkUsBbBV8GgfZHuqp6zp1U3MjiukVWdXouL3LvMZnaCxbIuBj1AHIoDHbuBOjuulkfvN1w0fdScu8OakcQRSvdIjvSTK0MRk0ppNMDVRNxkOiHuXLs/sS5ZNiIINGL+kJuW04HElgMv0kSbWNbdvnLo4QpbO3b12T9J1a2hDdR1LVF46AFdYg0tcjfoTV7rJFb8RHaaB/TLa6Dhk/Kvg0DrIdQ3Qch46uHspLi4V+SpU1jRk6nG07HDphUTcpv7pwJoMMGjOB47irpxg6TJvQ//7ehv6bOkgu+OTYNh2thyivqutbgUU8RPJKTRv5klqGNiaDxnwk6iH+kjoaWvRhN33TJ/YPs2vqm64s3x6KK58Ug9Q05mIYI/NETNhxsH++s1Ckf76idDC0jTV3jDyv0cFGmDsVplS7c0rFm1S8NAfjA6L7SCr6HMdd2bnUB1iG29Uwh76bkoIIhf7+meHVdcj4UcGncZDtOuc4Dl3dPZSViD0+P5saM3FI24EjzRa1Ew1hh5LIoDET7DoMz74OMybBpz/c//6zmwevmpLM+H53LpMjlFXWoglaOgN9pDtcQFfQj56HE5iPNgREhjYmg8bxcrTZfWna4NXcvCTqIa++W8fhpuGfX/uRAcGnvkUIfHl29SmbTyZyvdUR9NMT9qPHCYjnIu5S8K0EneqE5qTRNSevViz0gqingDupeHEhFPhcj0lnEHloG9txCF5/b+S82/bB1edD7URYMH34/Ee6BvNq03du6SLXfcRx3EUhdC21+x/Htuk5cYSgVptU8KmkEE6abFJWvA8CNWDk1uzoxoDrRXUdMn7y7Oc/t8j2XGq6rlM7JcFZOvMUGTT6DI1zT/Z4RtgsI4PG8dLV6/6o+YzBTxM7BqyU0tDi/n/wxOBtp1S7q5kAzJqcXPBJN3zUzj03tZPOEwb6SNjUmVjay/SqUZaKyWGKC0ae+FaGNiaDxlRwHAiGXf9o6YQT7VDZt8JdRcnY24cjg1eFKyvqv/HoCfV7i23D9gP9k4ZXlrorQEU95PA29/1JFYM9aOCcMLMmQ1cQzpiXmtZskW2fNC0Ny/E6CqIzceJkIjaQwMJOXaECJpd1U1uZ3ZXgkicAtCSUU8OJrUYtG2HTbfsDPaWwwJ1gPF5gwrTirwQ5cLGAqK9ETHj3gOtd7i3puTQdcH2lvBimVo+8r6rS/s9mT3Ff+UA6fSRspv8Bg2m5vclm1pDiogo+SEGfrkOF30bvsMGwwcjdgLa6Dhk/Kvg0DnKh51NbRxeV5aVC93wSXaNlO+w7ZjJ7ig8j25XKI2TQOB5eeaf/Cd/sKXD5Of2f/e75wUPqAM5eNPjvKz9Myji2RVvTPionzkbTx45aWTa0dIxjIIKtQVeZO6bfGGV5qTTiODbhYDsFhRWELT+Ty3qYUJIbK3qmCxnamAwaU2HHQXfxSNNyb+LKihNfFa69G/5nbX+ACeBbV/Sn178Fu4+MvO30ie5NomNbtJ7YB8xF1zSu/HD8Zb0XzXBf2SIYdpc+T7b2OI5FuGMfBeWz0dI5H4mlQXcZGMWgx3/ab9saRQVm+o47Ao7j0NvTTlFxRULXWyUFESqLQnnlpcpDRmZvA5R19v/tAJ090BtO3FNMC377vPsgbSiaNthX1m5xjzkSdZMcTpujcepsOHV2skrGR09o5PNPF+nyEct2e50F/Gk8uT6KA+4k7fE8fDQsy2Lfvn3Mnj0bI9lVJcJjZ8kFlIeMHxV8GgfZjoU4jkMwFMZx3GloRcS2XY227WRlbG0mJhx3HGjttJk12fNDZQ0ZNKbKrsOwp+/mTh+hG/vQ3+/CApidxu/RdhyC3a3YE2aRyEi0iOkuHzy12v0/aSwHChrdu2VfaQo7SOGQtsP+o53MmuRg6FrWl832AhnamAwaU6G1C0rLoLQvlutP4Jo/YsKeo+4Qi2jgaaQhNEM9SdNgYjnUTervVeXgEOpp5eyFNpMqjZRuWpIl1Sf+PSGoLoVJlcltZ1kO+7tamTVtVnpX6otY4D8O/nLQR+tqoFFRFMKnJ9AlKUUsy+Ht/UGW1IYwElzFqcCwxs6UQygPGZmDx6FqyM2/A5QE3GuQRDyltas/cDPUS4Zevhv64Dy1E6Cm0qa7/RjTpk0G0j/hdCKe0RuC6jKYWDF23lRIt49MKBv/Poai6+6wylRwHIfW1lZmzZqV1nPKJZSHjB8VfBoHRVkekqrrOlNrJtDYWZSRIEm28BUV09Izdr50E/BZGQkw+gyNpQvE7sIpg8ZUWbsVCvruOT5zAUyuGvz5TR/37tgtnWDZPnzVS2lJYhRaaaF785nM8L4YlgOhdvcpvz9zAeUZ1QaQBSPJEDK0MRk0pkJ1mRt8SoZgGJ57o//vhXXw0Q8Oz3fp0rH3pes+ps5eytTkTiFlTMsdBpSS/+DOWVM7Yex8g/ExoyaBLyNZIjaE2qBAg2wHcvxw9sICEhpzl6coDxkZTYcJ5clvFwxDTxACBW4vnDPnu4Gm804ZfbuPnTXSuzowLfmTSJDGVkigczdlRan4Q6J45CM5gs/nY+lScfWBfB7y0ksvJZz3ggsuSCifCj6Ng0TmUvASx3FoaevA0QNMr+5hUqmHfUWzhG07HGwMMqOmMPM9nzSHsgz0kLBsh91HTObXituFUwaNqVI3EQqLoarM7eqcSUwTJlVYmJ27mTFrPnoiV2a4T0JTvfHLBjLUP6VRkQyG4c7rEU2PZw4mx7ZoOb6b6snzExq6O15Myx0aMmcqFKbQ+zLV4SS7d+9m/vz5yQ8nyRNkaF8yaEyF0hRHwL/fAPVvunO5XXEunL849XPw3Ed0d7GW6jEC9UUexhVE9xHR9YF8HrJ8+fK+EVZjY9uJPbhQwac8xnHcho4BFUUhKovjzPKXx1iWg+OYVBQl3g0873CgN+yIvZqvDBpT5BNnJ99rIW1oUF4EzW29VJQMH+InDDLUP6VRkQCdPe6E36WF8Knz0rNPB7AivWRyAgBNcycd9mLOk3j09or3gG8QMrQvGTSmQCDFu8HoKrvpeBjltY9ouJOmV2ZmtH9cRPcR0fXJ5iF33nnniMGnjo4O3nrrLdatW8cll1zC2WefnfA+VfApj9F1jZqJ1TR26lmff8orDEPj9Lm5teRmulEaFdlE9xmcfvrp2T4NT5Gh/imNikR49yC8ugMWz4KL0tTsdd2gZkbmPCR6HZzJ6x7DUD4pAjJozCRmGoNPXvqI47h+ke2OKqL7iOj6QD4P+cEPfjDq508//TTXXHPNmPkGooJPHmBaYJuGGxXVRpjBM004jkNbexu2v1DYOZ8s22HHwQiLZviF7d6oNCrSjW0PXr0qHhHTXX1l+/YdLFq0SOhu0qLXP6VRMRK7DrsrS0X9wO67VEhkAuFEsW2L5oYdTJi6aMShu6bletJo9ITATHCqoWAYKoozu8yKZVns2KF8Mt+RQWO6Odrsrkz34VP6A77/9rQ7bD8aCE5H8Gmgj2iaQWSExR17w/29rZLBcfr8IstFLrqPiK4PlIcM5eMf/zgf/ehHueOOO1i/fn1C26jgU5pxHDjRBkURPzgGON59xY5jE7F0KkojGIksU6VQKKSgpTOxi8HSIhB1NKtCoXDnZAmPcBM3tTozx3ccd3LwsRZo0XWoKobiBB8o+/35Ne+cQpGvPPs6dPTA0pP650uz7f5ANsC0NPtJR48btB5pBc6q0sR9YiC6nv2FohQKEZk3bx73339/wvlV8CnNOA74fTBvYjPlBV0Q8GzJhBgazQR8+bXcbaIYusbiWWL/WiiNinRjO+6qeYms2BIoMJg2cRyzhOYBMtQ/pVExErOnQEmhu5LVjL4Jxv1GapNux0PXDSbVjuwhTt/x5k4de5GWQEH2h8XEwzAMFi9WPpnvyKAx3XQH3f9DkX7f+OLF/VPe+PT0TNI90Edsx111bmHd8HwBvxtIykdE9xHR9YHykKGYpsn69espLCxMeBsVfPKIIn+EIr8Jfu+CQpblsG1/hFNn+dEEnfRpoEZRJxxXGhWpMNqwOst2n/AlckFoWRZbtm3j1FNPFbebtAT1T2lUhCOw45B7k3igERbPhJOmj3wDl04sy+LE4W1UTzt12LC76HC74oC3q0h5jWVZbFM+mffIoDFdNLTAoRPu9QQMntw/1dXxRsJx3GPYtkXLUddHTMsgkOA1TD4huo+Irg/k85Df/e53I75vmiYNDQ388Y9/ZNu2bXzta19LeJ8q+JTPaFBUoGV9DLOnKI1iIIPGDNLV6859MFKXdHCXH0/myWBRURqvJHMRGeqf0ig92/fDhu39fx9rcYNPXtPaBSZFdPaOPAl4YSB/eyoMRPmkAMigMQ04DvxpoxvIBvdao8CjlSU7etz5JzWt30cMPb3z0uUSovuI6Ppk85Drr78ex3GGdXKJroCnaRqf+9zn+PnPf57wPlXwKY8xdI2FdRlcZzgLKI1iIIPGTGLZUF40+o1lok8MDcNg4cKF6TmxHEWG+qc0KnpC7v8TytxhtzNq4geo04ntGMyYtZC6SSN/rmluz6d8RvmkGMigMR1Ydn/gaWGdO3zXqyGxlg2VpTB3qgH0t7GAgMUkuo+Irg/k85AHH3xwxPc7Ojp46623+POf/8wnPvEJAoHEf+Rz8lnUzp07ufjiiykpKWHKlCncdttthMPhMbdrb2/nK1/5ChMnTqS4uJiPfOQjbN26dcR8X/7yl6murqasrIyrrrqKhoYGD5R4i2k5bN4VwrTEnWxcaRQDGTRmGkN3u77HeyV602maJps3b8Y0R5iVWBBkqH9KoyI6PGb2VFh5pvfD7aI4tknjgc0U+s0RvaikcOQeUfmE8kkxkEFjOtA0WP4BWLYEVp4BC7zsQem4vbUL/SY7tvf7iF/A7hGi+4jo+kA+D/nCF74w4usb3/gGDzzwAGvWrOGLX/wizzzzTML7zLngU2trK8uXLyccDvP4449z991385vf/Iabb755zG2vvfZa/vSnP/HTn/6URx99FJ/Px/Llyzl06NCgfJ/5zGeor6/n/vvv5//+7//YtWsXl156ad41Fk2DqjI97y/qRkNpFAMZNOYrmqZRVVUl7LxxIEf9UxoV0dWnMtHbaRCaRkmZ6B6ifFIEZNCYDgwdTp0NZ8zzfsisg1sucrQxsTWOX5+T808qlIcM5owzzuCKK67grrvuSnibnIsr33///XR0dPDEE09QXe2u3WmaJjfddBN33HEH06ZNG3G71157jTVr1sS6fwFceOGFzJ49m/vuu49f/vKXALz66qs899xzPPfcc6xcuRKABQsWsGjRIh5//HGuueaaNKjITDTU0DXmTRO765/SKAYyaMw4afrhMwyDefPmpWdnOYoM9U9pVBT43J5GmR6uomkGNVPnIej8soDySVGQQeN4OXQC3j3gDrXzYs64UKR/IQJw56/UNEnamOAaRdcHykNGYtq0afz5z39OOH/O9Xxas2YNF110USzwBHDNNddg2zb19fVxt9uyZQuapnHxxRfH3isuLub888/nqaeeGrT/ysrKQfkWLFjABz7wAVavXp1mNd5iWg4b3xW765/SKAYyaMxXTNNk48aNedfzMxlkqH9Ko+K8U+CGj7q9FTKJY5vs2SG4hyifFAIZNI6Xl952V83cdzz9+7ZtaO10V+uNviqK3cnMpWhjgmsUXR8oDxlKV1cXzzzzDKWlpQlvk3M9n3bu3Mn1118/6L3KykqmTp3Kzp07424XDAbRdR2fb7CkQCDA/v376e3tpaioiJ07d7JgwYJhXQIXLVo06v5zEV2D2gmGZ5MA5gJKoxjIoDFf0XWd2tpadBGWo4qDDPVPaZQbZ8B1cKaHAziazoQJgnuI8kkhkEHjeHAc6Am66cmV6d+/7biBpgV1UFrY/77PAMeRoI0J7iOi6wP5POSHP/zhiO+bpklDQwNPP/00jY2N3HrrrQnvM+eCT62trVRWVg57v6qqipaWlrjbzZ8/H8uyePPNNznrrLMAsG2bzZs34zgObW1tFBUVpbT/UChEKBSK/d3R0dG3f2vQ/7puYNlWbPlB0wbNdjB0DdNy0DXQR0rroGsaEcvBiKZNB5/hjp+NpsF9ShBNWzbMnOzDcRwipoPfp2E7DpYNfsNN2zb4DA3bdrCd4WnLdnAGpHHAiKZxuxdalgMaMR3ahPxUmAAAhuxJREFUgHS6NZkW+H0ajuPE0nU1BpbtdtMTRdPAckKD2okGui6OppHKaeZkH7btYFpOXmlKF8n4iG1baICmG9i2iYbmpi0TTdMBHccxsW0dXdcxTRNdd9ORSATDMGJpn8/n6u5Lg/ujEU1blsXMmTNdH4lE8Pv92LaNZVmxtG3b+Hy+uGnLcn0vmga3+/WIafq8MZpWPqJ8RGAf0dN4hRrPQ15+x2ZX35opn73QoqZybA/RdN1N6zqaNjQdQdONAWnXQ1o7IkTsvstGxwTN13deFhOnz0TTMuQhhoFpmmiaFktH/S9eOllfNE0Tv9/vlmNfuq6uDsuy0HU9vZrsfi9UHqI8xMtrkdGuQ442w582OoRN17NmTbZw7PF7SEtHBNPub2+FBT78BuAMb28zZsyItVsRPQTcIUpp95AsahpYTkAs+JS8JjvmhbnQ3pSHuPzoRz8a9fPq6mp+9KMfcccddyS8T2FCkytXrmTu3LmsWrWK7du309jYyC233ML7778PMK7J3e655x4qKipir7o6dwmZ5qPb3f8bdtDcsMNNH9lGsG03AFv2B9h3zO16uGlXmEMn3Ea28d0QDa3ugOcNb4doanfT67YGaety0/VvBunsdSvK6s1BgmG3Mq3eHMS0IBh20xvedrepf9N9VNHWZbNuq5tuarfZ8Lb7I9PQarPxXTd96ITFpl3u6oH7jpls2eOmdx8x2bbfXVt1x8EIOw666W37I+w+4urYsifsuSaAzl6H+jeDmJbDi28FWbdFHE1Dy+l4i8Wa112tomgaWk5/eSfEhreD7D9u5pWm9u4BExOMk2R8pOnwNlqOuz5y/MAW2pr2ud/l/k10tB7CceDY+xtjq3Ru2LCBpqYmV/e6dbS1tbm66+vp7Ox0da9eTTAYxDRNVq9ejWmaBINBVq9ezYYNG2hra4sNbW5ra2PdunXuuTQ1sWHDBvf4DQ1s3LgRgEOHDrFp0yYA9u3bx5YtWwDYvXs327ZtA2DHjh3s2OFq2rZtG7t3R72xkH2N7s+P8hHlI6L7SLqI5yF7D0diedpOuNc8Y3kIwJG9G+ludz3k8O4N9HS6HnJg5zqCPW0A7HunnnDQ9ZDm91dTVRhk+gSTjgOrmT7BZFplkMix1ezenmEP2bKFfftcTZs2bYotLLNxY/p8EaCzs5P6+npM0+TFF19Mv6Z3drP7eJGrSXmI8hCPr0XieUjrse0caCQWeKoqhWBzejykZV89FQWdzJgEPYdXM6UiiKENb2/RNiaqhwA0NzezZs0aTNMURtPAcjp+/HhMX9Ka3tvPjoYSV5PykJzxkPXr14/4euWVV3j//fc5duwY3//+95Pq7aY5TprC6WmipqaGL3/5y9xzzz2D3q+treW6667jxz/+cdxt33jjDa699tpYI1yyZAkrV67kX/7lX+ju7sbv93PNNddw6NAhXn311UHbfu5zn2Pv3r289tprw/Y70pOCuro6Nr7VQnlF1aAeCxHToq3L4YzSZyj2daMFJngW2QxHHJo6HaZUatiOJmTPJ0OHoy0WNRU6BX5dCE1Dy8m0bI622Eyf4G4ggqah5WRaDic6HCZXaKBpeaMpYsGu5mksWrQIY5yz6SbjI2P1Wmjv0SkpNDl19vifZIXDYZqampgyZQq2bWeg55OJefiPaHoBRqBC+YjyEaF9RNd1djRN9dRDvvbzNiJaBVecYzF9Ivh83vR8Ot4S4dQ5PiaUZ9lDsvCE3zAMjh49Sk1NDQUFBenTFGyBhicxCqswKVIeojzE02uReB6y4c0W3jlSxRt7YMksmwtP04HxewjonGiL8IG5PqrKRm9v0TY2adIkAoGAcB7i9/sxTZOjR48yfbo7k7sImgaWUyL64mrqPeF6YfEULMevPCRHPSQdpDzs7ujRo3FXnhsPCxcuHDb3Unt7Ow0NDSxcuHDUbc8880x27drFnj17cByH+fPn841vfIMzzzwz1h1w4cKFvPDCCziOM6g31M6dO1myZMmI+w0EAgQCgWHv67ox6P9oWtPcyubTIToo1Gf0Hyte2j8w7YuXHnBeBRq1E9x09Ax0TSN6OoPSuhbr5jYwbQwYEhA3ncC5p0tTNK1pWiw9fWJ/BlE0DdThM3RmTOqPGIugaWg5Fej9dXVMHTmmKV0k6yP96QH13+hPG7qP6IOGgXPdRb0u0XQgEKC2ttbdpxE9Fz32FCOR9MAfsjHTltnnjX3nrnxE+YjAPmKlr/NkXA+xHQ00KCkyiFpBIh4SP+0fMa3p/r4l0bPsIQz2vETSyfpiNK1pWiwdvaFKu6YkvFB5iHweEtWRDka7Djl5JkythopSve/aYvweYjug6360vgo0VntLto3lm4f4fD5mzJgxSGO+axp4vonoi69Dj5lOLrQ35SEuL730UsJ5L7jgAoLBIH/9619jf49EysPuZs2axeWXX87TTz+Nbafv6urSSy/lhRdeiHUDBHj00UfRdZ2VK1eOub2macyfP5+TTjqJpqYm/vCHP3DjjTcO2n9raytr166Nvffee++xZcsWPvaxj6VNRyYwLYd1W90u0qKiNIqBDBozTbriYqZpsm7dOuFXJxG9/imNEtP3dehp8oRkkcJDZNAoQfuSQWOqTCiHebUwqWJ8+wlF4EQbNLbBiVb3vURuNqVoY4JrFF0fyOchy5cv58ILL0zoBXDw4MHYNvFIuefT2WefzVNPPcXTTz/N1KlTuf7667n++uuZNWtWqrsEYNWqVfzrv/4rV1xxBXfccQdHjhzh1ltvZdWqVYN6Wq1YsYIDBw6wZ8+e2Ht33XUX8+bNY/LkyezatYu7776bM888ky9+8YuxPOeccw6XXHIJ119/PT/72c8oLCzke9/7Hqeeeiqf/vSnx3XumUbXYfEsf6z3g4gojWIgg8Z8Rdd1Fi9eHHsqJSIy1D+lUV7sLAef5PAQGTSK375k0JgKT70GJaVw+bnuMPXxEAxDeQlMLHf/1jUoGt7ZahhytDGxNYquD+TzkDvvvJNkZmiaOHHimNukHHzasGED7733Hg888AD/8z//wz/90z9x9913c9FFF3HjjTdy+eWXD+ralyhVVVWsXbuWb37zm1xxxRWUlZVxww03cNdddw3KZ1nWsMhqa2srt9xyC42NjUydOpXrrrtuxEmw/vCHP3DzzTfzla98BdM0WblyJf/6r/+a0vlmE13TqKnM7rhNr1EaxUAGjZkknc9bdF2npqYmjXvMPWSof0qjvEypAr1gcLd7T3BG7nEphYfIoFGC9iWDxlRoaIWC3vQFsA0dZiTZXKRoY4JrFF0fyOchP/jBD5LKX11dPeY244rbnXTSSdx7770cPnyYRx99lIsvvpgXXniBa665htraWm6//Xbee++9pPe7aNEiXnjhBXp6ejh+/Dj33nsvBQUFg/K8+OKL7N+/f9B79913H4cOHSIUCrF//37+6Z/+icLCwmH7r6io4D//8z9pbW2ls7OTxx57zJP5q7wmYjk890YvEYG7/imNYiCDxnwlEonw3HPPEYlExs6cFjJfB2Sof0qjvFz2Ibh6GZQWeXygODemmfeQzCOFRgnalwwaU0XX0jOc34kTpB4LKdqY4BpF1wfKQ9JBWjqN+Xw+rrzyStasWcP+/fv5x3/8R3Rd57777mPRokVceOGFPPLII0l121KMjaHD0pMKxt1FNpdRGsVABo35imEYLF26NOurX3iJDPVPaVRkCyk8xHONWRozOQAZ2pcMGlMlnVU7lR5UykfyH9H1gXwesnnzZv7+7/+eN998c9D7Bw4c4Fe/+hW/+tWvaGhoSGqfaf3qbNvmjTfeYPPmzZw4cQLHcairq+Mvf/kL1157Laeddhq7d+9O5yGlRtc0qsuMtK7IlWsojWIgg8ZMk66vUtd1qqurxR6jL0H9UxoVmSDesDvhPUQGjRK0Lxk0pkq6bqZT7WYgRRsTXKPo+kA+D3nwwQf593//d+bPnx97791332Xx4sX87d/+Ld/61rc4+eSTB83BPRZpqR3vv/8+d9xxB3V1dXz605+mvr6eK6+8krVr17J//34OHjzILbfcws6dO/na176WjkMqgIjp8MymXiKmuD3KlEYxkEGjFzgOmNbIr3QRiUR45plnxO4mLUH9Uxrl5b+ehd+sdif6TRfJeI4UHiKDRgnalwwaU2U8waeh1yqpDrsTvo0JrlF0fSCfh/zlL39h2bJllJWVxd678847CYVC/OY3v+GXv/wlvb29w+bmHo2Up6eMRCI89thjPPDAA7z00kvYts3s2bO5++67+dKXvjRowrEpU6bwk5/8hI6ODv77v/871UMqhuAz4PzFAXzi9m5UGgVBBo1e0NEDEZNhq2oYOvjT9F36fD7OP//8vFtwIRlkqH9Ko7wETXDCpO17CYahvXv4BObFgZGH00jhITJolKB9yaAxVQqSrNqOA6G+GENbt3tNommpX59I0cYE1yi6PpDPQw4fPsyHP/zh2N+WZfHcc8/x6U9/mhtuuAGA9evX89JLLyW8z5Rrx7Rp02hpacEwDC6//HK++tWvsnLlylG3mTlzJr29vakeUjEETdMoLxa725/SKAYyaPQCy4aKEpg3wnoIBf70HEPTNMrLy9OzsxxFhvqnNMrL7Mlwyrz0BZ8s2528fGHd4GCTprkBqKFI4yEyaBS8fcmgMRUWTocPLEhum85et5eToUNRAUwsh2kT3M9SuT6Rpo0JrFF0fSCfh4RCoUFl+sYbb9DV1cVHP/rR2HsLFizgmWeeSXifKXeyLC4u5oc//CEHDhzgscceGzPwBHDTTTexb9++VA+pGELEdHjyVbG7/imNYiCDRq8oLHBvBIe+kn1KGY9IJMKTTz4pfDdp0euf0igv5yyCk2ekb3+O405/PdRzSgpHHk4jhYfIoFGC9iWDxlRYtgRm1IydbyC27XrCmfPd17za8V2fSNHGBNcouj6Qz0OmT5/Ou+++G/t7zZo1OI7DBRdcEHuvu7ubkpKShPeZ8u3L/v370ZIc1FteXi58RDST+AxYeUah0F3/lEYxkEGjJzjer4Hk8/lYuXKl8N2kRa9/SqO8DB0elxa0xL1HCg+RQaME7UsGjZnCwQ0yBdLUC1uKNia4RtH1gXwe8tGPfpRf//rX3HfffUyZMoV/+Zd/YeHChcyePTuWZ/fu3dTV1SW8z5RrR0dHBwcOHGDevHkUFxcP+7y7u5u9e/cya9YsFXDyEBkqv9IoBjJozFdEvlCIIkP9UxrlZLyrWrd3Q3DAg+pQGCZVJDdpsBQeIoNGCdqXDBq9pKUDIrbrE9Wl6d23FG1McI2i6wO5POSWW27hoYce4rbbbgPcFQ3//d//PfZ5W1sb69atS2pBuZSH3f3oRz/ivPPOw7JGXgLFsizOO++8pGY/VySHacHqzcG0rnyVayiNYiCDRi9wSG3VmGQwTZPVq1djmqa3BxpG5sbMy1D/lEZ5CYzzWj8UgcmVcNI097VkVnJDcLLnIZlDCo0StC8ZNHqJ44Bpw5RK1yemVKdv31K0McE1iq4P5POQ6dOn8+abb/LDH/6Q7373u7z88stcddVVsc8rKyvp6enhF7/4RcL71BzHSWnQ4imnnMKCBQt4/PHH4+a56qqr2LVrF2+//XYqh8hZOjo6qKio4LW32yktG9yry7KhtdPh9JI/U17QDYGJnp2H4ziYlhuBTXYIZL6gNIpBvmq0bI0dTVNZtGgRxni7FwxhNB+J0twBU6thfm1aDz0Ix3EwTROfz5eZsrGCcPQx0APgz0yv2Hytf8mgNOYm2faQRGhsg1NmQk1lattn3EOygGcaI+1w9HEoqAajKH37TYF8bF/Jkq8avfKRqIe8srWdysqxPcRxoKkDPjAHKtPc60n5SP4zLn3hZjj6BBROAb3AmxNMA8pDxk/KPZ8OHjzI/PnzR80zd+5cDh48mOohFAkgQ+RVaRQDGTR6QSZ+2kR+ShVFhvqnNCpSZbzX0FJ4iAwaJWhfMmj0iuhiBF7dc0vRxgTXKLo+UB4yXlIOPmmaRigUGjVPKBSKOyxPMX5MC+rfFLvrn9IoBjJoHC/BsNsD4cSAV28Iz6NPpmlSX18v9AWDDPVPaVQkSlvXYJ+B8dmMFB4ig0YJ2pcMGtOJZUN30PWM422uX+i6N5clUrQxwTWKrg/k85ALL7wwoddHPvKRhPeZ8rC7s846i46ODnbs2DFitzPbtlm0aBGlpaW88cYbqRwiZ8mVYXcKhcJbMjlkpq0LigNQUzU4X1khlCe+gmnuk4VhdwpFtsjFYXeNbe4Qu+iwGQ2YUJ6+VasUSZBDw+4UuUu2ht21dbm9nAwDCv0wsQJ0zV2QQKZJlxUZIE+G3eUrqXqIz+djtFCR4zixOFCiHY5S7vl07bXX8t5773H99dfT3t4+6LP29nauv/569uzZw+c///lUD6EYA8dx6OixR60U+Y7SKAYyaEwHfh/UThj88jrw5DgOHR0dQpeNDPVPaVQkjOPePEY9ZtqE8QWepPEQGTQK3r5k0JhOHAcqSmDpfDh1tusXU6u9CTxJ08YE1ii6PpDPQ0zTxLKsYa/29nY2bNjA+eefzyc/+Ul6e3sT3mfKwadvfOMbnHvuufzud79j9uzZXHLJJVx//fVccsklzJ49m//+7//m/PPP5xvf+Eaqh1CMgWnBy9tDQnf9UxrFQAaN+Yppmrz88svCd5MWvf4pjYqE0dI7Z4sUHiKDRgnalwwa04kDGHrfULsMTAEgfBsTXKPo+kB5SJTS0lLOO+88nn32WbZv386dd96Z8LYpD7sDCAaDfP/73+eBBx6gs7Mz9n55eTlf/epX+dGPfkQgEEh19zmLGnanUMhBpofdVZTA4llpPUzuoYbdKSQiF4bdmZa7ciaaO8RO19zV7SZWpPV0FKmght0pEiDTw+6CYWjvhogFs6fASR6uuKtQAGrYncd4eS3yt3/7tzz55JMcOHAgofwp93wCKCws5L777qOlpYW3336bV155he3bt9Pc3MxPfvITIQNPuYTtOLR0WtgCd/1TGsVABo35im3btLS0YNt2tk/FM2Sof0qjIh6mBUUBmDcVFtXBgrr0DueVwkNk0ChB+5JBYzoIRdyHYafNhqlVY+dPB1K0McE1iq4PlIeMRG9vLydOnEg4/7iCT1EMw+CUU07h3HPP5eSTT057RE0xMpYNm98LY4nbxpVGQZBBY75iWRabN28WemVSGeqf0qgYiynVfa8qKPClb79SeIgMGiVoXzJoHA+W7faSbOsCv+H6RVlxho4tQxsTXKPo+kB5yEAcx+HRRx/lf//3fzn55JMT3i6Nlx+KTOM3NC45U+xu2kqjGMigMV/x+/1ccskl2T4NT5Gh/imNinh4/YBWCg+RQaME7UsGjeMhYrqTic+ZCpUZXmVXijYmuEbR9YF8HjJ79uwR3zdNk8bGRiKRCIWFhfzkJz9JeJ/j6vnU2dnJPffcw4oVK1i0aBFz5swZ9po7d+54DqEYBdtxaGwTu+uf0igGMmjMV2zbprGxUfhu0qLXP6VRkS2k8BAZNErQvmTQOB4cx51YfM5Ut9dTJpGijQmuUXR9IJ+H6LqOpmnDXr29vZimSWVlJa+88gorVqxIfJ+pnsyJEyc444wz+N73vscbb7zBrl27aG1t5fjx4+zfv5/9+/cTDoeFroDZxrZh+/4IIn/FSqMYyKAxX7Ftm+3btwvt1TLUP6VRMRpa38sL5PAQGTSK375k0DhevPSK0ZCjjYmtUXR9IJ+H7N27l/fff3/Yq6mpiYMHD3LJJZfwla98hY6OjoT3mXLw6c4772Tv3r3893//N62trQD8/d//Pd3d3fz1r3/lrLPOYtasWbzzzjupHkIxBj5DY/kHCvEZ2fiZyAxKoxjIoDFf8fl8LF++HJ9P3FHYMtQ/pVGRLaTwEBk0StC+ZNCYr0jRxgTXKLo+UB4ykNraWv7v//6PSCTCd7/73YS3Szn4tHr1alasWMHnP/95NG1wASxdupQ1a9awf/9+fvjDH6Z6CMUY2LbDkWYL2xa365/SKAYyaBwv2fpmbNvmyJEjgj+pEr/+KY2KbCGHh8igUfz2JYPG8ZDNb0WONia2RtH1gfKQoei6zvLly/nTn/6U+DapHqyhoYHTTz899rdhGPT29sb+rqqq4tJLL+WRRx5J9RCKMbAd2Hs0gsj1X2kUAxk05iu2bbN3716xLxYkqH9KoyIeXn9dUniIDBolaF8yaEwHWhY6dUjRxgTXKLo+UB4yEidOnKClpSXh/Cn3i6uoqCASicT+rqqq4vDhw4PylJeXc/z48VQPoRgDn6GxbElhtk/DU5RGMZBBY77i8/lYtmxZtk/DU2Sof0qjYjQ0zbsbSik8RAaNErQvGTSOl2wEnkCSNia4RtH1gfKQKJZl0dDQwO9//3sefvhhzjrrrIS3Tbnn05w5c9i/f3/s79NPP53nn3+e5uZmAHp7e3nqqaeYMWNGqodQjIFtOxw4bgrd9U9pFAMZNOYrtm1z4MABsZ9USVD/lEZFtpDDQ2TQKH77kkFjviJHGxNbo+j6QD4PMQwDXdeHvfx+PzNmzOA73/kOlZWV/PKXv0x4nyn3fFq5ciW/+MUv6Onpobi4mK9+9atcddVVnHbaaZxzzjm8+eab7N+/n7vuuivVQyjGwHbgSLNF7UQj9ShijqM0ioEMGvOV6Bj92tpadF3M0pGh/imNimwhhYfIoFGC9iWDxvGQzdXjpWhjgmsUXR/I5yEf+chHcEYwBr/fz7Rp0zjttNP48pe/TFlZWcL7TDn4tGrVKk4++eRY8OnTn/409957L//0T//EY489RlFRETfffDO33nprqodQjIHP0Dj35EC2T8NTlEYxkEFjvuLz+Tj33HOzfRqeIkP9UxoV8fD6hlIKD5FBowTtSwaN6SAbQ++kaGOCaxRdH8jnIWvXrk37PlMO2k2dOpXPfOYzTJw4Mfbet7/9bZqammhoaKCrq4t7770XwzDScqKK4Vi2w56jESyBu/4pjWIgg8Z8xbIs9uzZg2VZGTxqZuuBDPVPaVQMJRSBYNj9H7y7ocyOh2QWKTRK0L5k0JgqptXnFRpkY9onKdqY4BpF1wfKQ9JBysGn66+/nl/84hfD3jcMg8mTJ6Nla8Y6iXAcaO20s9pN1muURjGQQWO+4jgOra2tI3arFQUZ6p/SqBhIMAzt3e7NpKFDwO9d8EkOD5FBo/jtSwaNqdLc3ucVPrISfZKjjYmtUXR9IKeHdHd38/DDD/OTn/yEP/7xj4MWnEuFlINPDz30EI2NjeM6eDx27tzJxRdfTElJCVOmTOG2224jHA6PuV1zczOrVq1ixowZlJSUsHjxYu6///5h+V599VXOP/98ioqKmDx5Mt/85jfp6enxQoqn+AyNpQsC+AxxA31KoxjIoDFf8fl8LF26FJ8v5VHYOY8M9U9pVAzEdqCoAE6bA2fOh8WzQPdwtTvhPUQGjRK0Lxk0powGM2u89YrRkKKNCa5RdH0gn4ccOHCAJUuW8NnPfpY77riDa665hrPPPpuurq7Y55deeikvvvhiwvtMOfg0d+5cGhoaUt08Lq2trSxfvpxwOMzjjz/O3XffzW9+8xtuvvnmMbe9+uqr+fOf/8yPfvQjnnrqKT760Y/yta99jQceeCCW58CBA6xYsYKSkhIee+wx7rrrLh566CG+8IUvpFeI43g+aNqyHXYeErvrn9IoBjJozFcsy2Lnzp3Cd5MWvf4pjYqRCPjdl8/DGRCk8BAZNErQvmTQmCoaUOCxV4yGFG1McI2i6wP5POTWW2/lwIED3H777fz5z3/mxhtvZOvWrdx7770AzJw5k7179/I///M/Ce8z5dDk9ddfz49//OPYrPbp4v7776ejo4MnnniC6upqAEzT5KabbuKOO+5g2rRpI2537Ngx1q9fz4MPPsgXv/hFAJYvX87mzZt5+OGHufHGGwG45557qKqq4sknnyQQcCcMq6qq4qqrrmLLli2cfvrpadPiOQ70hp1MT5+SWZRGMZBBYx7T29ub7VPwFhnqn9KoGEImZz8Q3kOQQKMM7UsGjamSAx05hG9jiK9RdH2yeciGDRu49NJLueeeewC47LLLeOONN3jyySf54Q9/CMDZZ5/NX/7yl4T3mXLPpyuvvJIPfehDnHvuufz6179m06ZNHDhwgIMHDw57JcOaNWu46KKLYoEngGuuuQbbtqmvr4+7XXT8YUVFxaD3KyoqBo093bJlC8uWLYsFngAuueQSAJ566qmkzjXbGIbG6XMLMATu+qc0ioEMGvMVwzA4/fTThV4cQob6pzQqsoUcHiKDRvHblwwa8xU52pjYGkXXB/J5SHd3N4sXLx703oc+9CH27t0b+3v69OkcOXIk4X2mHHyaM2cOa9as4dChQ/zt3/4t55xzDnPmzGH27NmDXnPmzElqvzt37mThwoWD3qusrGTq1Kns3Lkz7nZ1dXWsXLmSu+++m3fffZfOzk4eeeQR6uvr+frXvx7LFwwGBwWeAPx+P5qmsWPHjqTONdtYtsP2/WGhu/4pjWIgg8Z0kI11GizLYvv27cJ3kxa9/imNimwhhYfIoFGC9iWDxnxFijYmuEbR9YF8HnLKKaewa9euQe9NmDCB7u7u2N9tbW1J7TPlYXdf+MIXPFnRrrW1lcrKymHvV1VV0dLSMuq2jz/+OJ/5zGc45ZRTADcC+6//+q9ceeWVsTzz589n8+bNOI4TO/9NmzbhOE7c/YdCIUKhUOzvjo4OAGzbGvS/rhvYthXraWXaoNkOhq5hWg66BvpIaR10TSNiORjRtOngM0AbkAZ3KdRoOmK6x3Ech4gJfp+G7ThYNvgNN23b7uRotu1gO8PTlu3gDEjjuFHdaKMydA3LckAjpkMbkE63JtNydTiOg2mBrtOXdr9HETSNXE5OX10SSVO/DtPq1+fkmaZ0MZaPOLaFbQMYsR9uwzAwTRNN02JpXdfRdT1uOhKJYBhGLO3z+VzdfWlwhzJH09Feo47jEIlE8Pv92LaNZVmxtG3b+Hy+uGnLcn0vmo6e+4hp+rwxmlY+onxEYB/R0zhzbzLXIo5t4fT5iXAekgFfNE0Tv9/vlmPffqJpwzDSq8nu98LstzflIbmqKR2M6iE6OJaFZWWnvUXbWHRb0TxkoA73OxdH09ByGk1ffE12zAtzob0pD3G55ZZb+OxnP8tLL73EBRdcADBoQnnbtnn22WeHdRwajZR7Pv32t7/lwQcfTOiVCRzH4Utf+hK7d+/moYceYv369dx+++383d/9HQ8//HAs30033cS7777Ld7/7XU6cOMFbb73F17/+dQzDiBtMu+eee6ioqIi96urqAGg+ut39v2EHzQ1ur6nmI9sItu0GYMu+AvYdMwHYtCvMoRNuI9v4boiGVrdxbng7RFO7m163NUhbl5uufzNIZ69bUVZvDhIMu5Vp9eYgpuUuo/zcGyEWzyqgJ+TmB2jrslm31U03tdtseNv9kWlotdn4rps+dMJi0y539cB9x0y27HHTu4+YbNvvXkTuOBhhx0E3vW1/hN1HXB1b9oQ91bR6s3vunb0O9W8GMXSN2ok+XtwWEkbT0HJq7XRo6nBvikXRNLSc/rozzOJZBRxttvNKU3u3u306GMtHepp30NLnI9u2bWP37j4f2bKFffv2ubo3beLQoUOu7o0bY4s+bNiwgaamJlf3unWxpxD19fV0dna6ulevJhgMYpomq1evxjRNgsEgzz33HIsXL6anpyc2tLmtrY1169YB0NTUxIYNGwBoaGhg48aNABw6dIhNmzYBsG/fPrZs2QLA7t272bZtGwA7duyI9SgdpGl/Ifsa3Z8f5SPKR0T3kXSRzLVI+7FtdLUI7CEea1q9ejUAnZ2d1NfXYxgGtbW1sRV90qbpnd3sPl7kalIeojzE42uReB7Sesz1kAP7stfeDMNg5syZrF27FhDPQ6LphoYGDMMQRtPAcmptbaWpqQnDMJLX9N5+djSUuJqUh+SMh0yaNIlPfepTrFy5kq9//ev84Q9/YP/+/QA88cQTXHrppezfv5+vfOUrCe9Tc5w0hdPTRE1NDV/+8pdjE1tFqa2t5brrruPHP/7xiNs9/fTTfOITn2Dbtm0sWbIk9v6NN97I6tWrB41F/OlPf8qdd95Jb28vuq6zatUq/vrXv7JkyZIRg2UjPSmoq6tj41stlFdUDXraGDEt2roczih5muKCXrSCas8im6GIw45DJktm+nDQxOz5pMFb+8KcMsNPoEAXQtPQcoqYNtv2RfjAnAI0DSE0DS2niOnw7iGTxTN8aLqWN5oiFuxqnsaiRYvGPYZ9LB9pabeoKoPFszP7JCsUCrFjxw6WLFmC4zgZ6PkUwTz8RzS9ECNQrnxE+YjQPqLrOjuapmbEQwZei3T3uj0pP7jAAEcwD8lSz6e33nqLU045hUAgkD5NwRZoeBKjsBqTQuUhykM8vRaJ5yEb3mzB1Ks4pc5iQkX2ej699dZbnHzyyRQWFgrnIX6/n0gkwrZt2/jABz6ApmlCaBpYTonoi6up94TrhcVTsBy/8pAc8RDDMAaNFhuYjn7+rW99K7b6XSKkPOzOKxYuXDhsbqf29nYaGhpG7dL17rvvYhjGsEmxTj/9dP7jP/6Dnp4eiouLAbjtttv4+te/zvvvv8+UKVOoqqpi4sSJsRXxhhIIBIbNEwXuBd7A/6NpTXMrm0/HvevBrZBR4qX9A9O+eGkGpYsKNLfy9x1H1zSipzMorWuxbm4D04Y+oALFSydw7unUBG6j8vvcsbXFAR2fbwR9eappJB0lhTpoAmkaos/XV1d1Q4udc75oShdj+YimG+h9BT7wh2Fg99ZE0n6/P+l0UVERmqbF9hO9MEk0PfB8x0xbkT5v7Dt35SPKRwT2ESt9nSeTuhZBM9CibUw0D8mQJugrR78fy7IoLi5OSl/CmpLwQuUh8nlIVEc6GNNDDINo9cx0e4u2sej7onlI9HxLSkqE0zTw3MfSF1+HHvPCXGhvykNc7rzzTkbqpxQIBJg2bRoXXngh06dPT2qfKQefEp1IXNO0QTOij8Wll17K3XffTVtbW2zup0cffRRd11m5cmXc7WbOnIllWWzbto3TTjst9v4bb7xBTU1NLPAUpaSkJNZD6r/+679wHIdrrrkm4fPMBQxdY2Gdf+yMeYzSKAYyaMxXDMNIaqx2PiJD/VMaFdlCCg+RQaME7UsGjfmKFG1McI2i6wP5POQHP/hB2veZ8pxPtm3jOM6wV1tbG/v372f//v2EQqHYxGOJsmrVKsrKyrjiiiuor6/nwQcf5NZbb2XVqlVMmzYtlm/FihXMmzcv9vfHPvYxZsyYwVVXXcX//u//snbtWm6//XZ++9vf8s1vfjOWb9++fdx5552sWbOGNWvWcOutt/LVr36VX//611RVVaX6dQwjjR0m4mJaDpt3hYhOfiYiSqMYyKAxXzFNk82bN2OaZrZPxTNkqH9KoyJbSOEhMmiUoH3JoDFfkaKNCa5RdH2gPGQkDhw4wEsvvZRw/pR7PkUnm4r32c0338zx48d5/vnnk9pvVVUVa9eu5Zvf/CZXXHEFZWVl3HDDDdx1112D8lmWNahyl5WVsXbtWr73ve9x++2309bWxuzZs/n5z3/ON77xjVg+v9/Piy++yD//8z8TDoc57bTTeOKJJ/j4xz+e1HnmApoGVWV6VpZnzxRKoxjIoDFf0TSNqqoqT1YvzRVkqH9KoyJbyOEhMmgUv33JoHE8ZPN7kaONia1RdH2gPGQkfve733HnnXcm3OHIswnHI5EIp512Gpdccgm/+MUvvDhE1ujo6KCiooLX3m6ntKx80GeW7a4YckbJk5QFeqFgQpbOUqFQjBfL1tI2WfBQhvpIaydUl8HJM9N6mNzDCsLRP4JeCP7ysfMrFHlMJj1kIN1BcBz44ElgpNzHXeE5kXY4+jgUVINRlO2zUeQoXvlI1ENe2dpOhHKWzIYJ6mdZkQ3CzXD0CSicAnpBts9GOFL1kOPHj/Otb32LdevW0dLSEjfApGnaoLmhRgtEeXZJ4vf7ufjii3nkkUe8OoT0mJbDxnfF7vqnNIqBDBrzFdM02bhxo/DdpEWvf0qjIltI4SEyaJSgfcmgMVWy/Y1I0cYE1yi6PpDPQ/7u7/6ORx99lLKyMs477zw+8pGPDHvNmjULx3EGvTcanq5219PTQ0tLi5eHkBpdg9oJBrrAXf+URjGQQWO+ous6tbW1sZVIRESG+qc0KoaRoe9JCg+RQaME7UsGjfmKFG1McI2i6wP5PGTdunV88pOf5Iknnoib50c/+hF33nkn69atS2ifngWfXn75ZX7/+9+zYMECrw4hPbquMXOyp/HDrKM0ioEMGvMVXdeZOVPssX4y1D+lUZEt5PAQGTSK375k0JivyNHGxNYouj6Qz0NaWlo4/fTT07rPlL+95cuXj/i+aZocOXIkNiH5P/zDP6R6CMUYRLv+nXtyAJ8hZghWaRQDGTTmHXYErG5M02Ljprc496zT8PnSOyfNiFhB748xBBnqn9KoyBbRoRbnnnsuPl+WLsodB8wOvBo85JlPRtrSt69xIkP7kkFjvpITPuIxCWu0w2D1ZO7E0sS4fDLc6s1JpRnZPMS27bTPV5ly637xxRdHfD860/3KlSu5+eabufjii1M9hGIMdA3mTvML3fVPaRQDGTTmHe1vQcc2dAfmVhagH9+fsWE6WL1QWJKhg8lR/5RGRbbQdZ25c+dmd6hF8Cg0vQh2yJPde+qTZhcEJqV5p8kjQ/uSQWO+khM+4jEJa2x9Hbp2Zuak0si4fdLqwsPpqNOCbB7y4IMPjtnz6YorrmDWrFkJ7zPl4FOiy+kpvEPXNWonZKCnQhZRGsVABo1pIZUfs97Dbi+mZAkdA6sHvWgGtTUpHHdcaGAEMna0nKp/Vgh23wXB42ndrQ7UAhxK625zirzUqBXB1OwtvJKJ6+PoPB8J4djQe8j9P530HnBXSyqeld799qGDdz4ZqMmJ1Z1yyic9Iusa7TC8d48bLE2GLPtIJkjKRzJJ79G0BbV1oLYS169GI9wEdhAKp6fluJli3D4ZqAE9t3u9Zd1DMswXvvCFMfOceuqpnHrqqQnvM7dLWDEqpuWw4e0Qy5ZkuOuf4/RFp73H7d4Y5tyTC4Tt3qg05jBOlp/AOLbbSygeVi80vwKhRtCStXMbCiZgEkjNR+zw+C7IzHBi+Trehq7dqR8HsB040Ggys8aX/adVbZuge0+WT0KRMbTM9fAbdmivD+A4YPVimhE2/GUzy85bOvZwmXATNL3kDjdL2rNGPRkwCt2XB6R0vWUFwUngwYCDZz22ksHsOsih3ZuYWaNn3yc9Iuu/Be1boGtH8ttl0UcyhWmabNiwgWXLlqVn2N1Y108J7cOElr9AsCEtfmVaGhv2TmLZ3BP4jNGGCFtQUOOZn3lF0j5pdgMDHkTkiBeORlruZ8LN7rW7Y6X35EalAAq/nfLWa9as4de//jWbNm2ira2NiooKli5dyk033cTHP/7xpPaVcktqb2/nwIEDzJs3j+Li4mGfd3d3s3fvXmbNmkV5eXmqh8ltunYDpYPfs4GeAijxfglGXYfFs/xkvIfqrh9B68aMHMoHLAN4MyOHywpKYw6jlcCc17w/jhXE6TkGWhBaO/vfDzdDuHH0aUzMTiieCUZRSofWHSd5H+k9BG//bd7MSaADswGSfNjsKf5KmP/dtO3Odhzau20qSnR0Tcw7x7zU6PggwThrTmGFoPOd0S+OzQ4INaJbERZP9qEffzKxiFekFUoXgJbbwysGkvT1VtOLsPsnDLqxynF85KBPppmc+S0wSmHBDxLPn68+kgS6rrN48eL4Q9LCLdD9PgnP6xZuhvAJN0g+HqxuKJoOvtKx846B7jgsnmOjl5dBpn7DHBt6DgDeBzp0x+EDUxz0Xm1sffv+zf2NyTPy+34mteDT7bffzr333oumaQQCAaZPn86xY8d47rnnePbZZ/n7v/97fvaznyW8v5SDTz/60Y/4zW9+w9GjIzu4ZVmcd9553HTTTfzkJz9J9TC5Tc8e0IYE3mwNgqUQaYfiCZ4eXtc0aiqz0PWvY2vmj6lQiIzZ5V5UOV3QdmTwZ0YR+EYJ4PvLUw48QYo+0rUrw4EnHSZflsHjeYzuh8kfh6L0DTHQgarKtO0uJ8lLjbYGTdk+iRQwO6DtDbfngO6Pn08z0AsmUlOdxL79lXkVeIIUfLLjLfIp8DSISReBnvpvimIMdD9MvhSKZiS+TYZ8JGsxfSuE3rqJGkLQFOckrG7oeg98SfQC0wvBXzG+c/OVJXfM0U4nG/dt+34Fx5/JyKF0IJmfAumpOhcKvI0V9JPaVBd/+tOfuO+++zj11FP55S9/yQUXXBD7bMOGDXzrW9/iF7/4BcuWLePyyy9PaJ8pB5+effZZLr74YsrKykb8vLy8nEsuuYTVq1eLG3wKTIHCoT2fNLADUOyAkcI8LEkQsRzWbQ2y/AOF+DM5lCk6v8zpv/N8ksyI5bB+a5ALM60xgyiNOYytQXMmDtT3ZK5oKpRktpt1Sj4S7RZddTYsyMCKptr4Ltay5pUZRGlUpBfHfZXMHT34hBzlkrRGq88jZ1wP067y9uTShKsxzPLZRaocFZnF6ibSvpt1uypZvrANf7yf/OKZ4w8mZZGs1L/u993/fWWgeTu3nAOEIg4Bv5bYsO+SuW4PwHFe42WS9N3PaJl9CJNiAPtXv/oVVVVVrF+/nqqqqkGfLVu2jPXr1zN//nx+/etfex98Onjw4Jhj/ObOncvzzz+f6iEUY2DosPSkAoxMPkB0nP45DIxCzw3DMBw+uKAIw9Cz+EjGW5TGHCZj5+pkbqW5IaTkI9Hgk+69B6SDrHhlhlEaFSOSqq9Eh6okcHEsQ7kkrdHuGyNlFOWFR4L7O710QUCVo6x4P1vIqAc3dJul8/0YJbX5dZ2YBFmpf3bQ/X/+d6HyTE8P5TgOPV02BaU6mqhlmK/3Myny5ptvcuWVVw4LPEWprKzkiiuu4Iknnkh4nykHnzRNIxQafVKwUCiEZWVyMi250DWN6rIMX9Q4Zn86rZOFjkxWNGYYpVEBTuYv/ILHIHyiv5t05xj5B9LTt9yYnrkV68aDDPVPaVSkFyfhFenyplwcB3reT2nIcNI+GenrMpsnHgl5VI7jQAaNKZPN+2jHRtccqssSmCsojxlW/yIdY698N17MPtPKwOTlMrQvGTQOJBgMUlMz+hKGNTU1dHd3J7zPlKMHCxcu5Nlnn8VxnBGjm7Zts2bNGhYsWJDqIRRjEDEd6t8MsvKMQvy+TE1cl9ngU1Y0ZhilUXJaX4eSQPqXHh+N3sOw9QbGHfEy8uPGSob6pzSmgZ59YKf5gZljAFPTu89EDuswfDUvs8ddwGAgoUYINTPMC+xQ32TjY3/PnpdLuBn2/AzM9vHtJxurTOZR8El5iCJtOA4Ejwy+ZwDoOejOcTkUO0QkYlL/tsXKM53cLhvHgf33Q+f2lDbt6LEpL9bRcKBnrwcnGIcMzOMmQ/uSQeNApk6dypEjR0bNc+jQIaZMmZLwPlOOHlx77bV8+9vf5vrrr+ef//mfqajoH4Pb3t7Ot771Lfbs2cN9992X6iHExg6Pe4lFHw7nL3Lw0QtWhhqAOeCx3xjzQKQDnwHnLw7gEzjIrDRKjtkOVgn40jSPgRVkzKBS13tuHj2AUzAJu+9GNSkXMQph4vLUzzODyFD/lMY0YJtQvthd2Sht+3TgQDB9+xsPPfvdVdiG4oTAP0KX+oLqhIbdJV0ujtU/LC0Rml+C9jcSz58IhcmVsQPJ+2RBNVScnuyZZQ3lIYq0YXVD08sQbhoy7NQC9BEn8PYFyjl/SRbKxgqR1OIA4RY49qeUDqUBFQBDO18m6UdJUzzLnS/LY2RoXzJoHMiyZct44YUXsCwLwxgu2rZt1q5dy4oVKxLeZ8rBp2984xs89thj/O53v+PJJ59k6dKl1NbWcuTIETZv3kxbWxvLli3jG9/4RqqHEJfG52HvzxnvSigaMMoaWB6jZ2QeA03TKC8WO7KsNEpOQTUUlIIZAHrHt689P4MT9YnnrzgTbeE/IvpvqDD1z+yE0PERP4r9HmRyEcIMkxGNJXP+//buPD6q6v4f/+vOkn1PWEJIwhYkstNSsCpLwGhAWQqi0Fq1lo8IRW2tWFfUVsBPXVprtb9WhW9tAaGuCGoEwtao+EEQhYQ1YQl7tglZJjP3nt8fNzNkkplktpuZe877+XhEbm7u3LmvOTNvZ86cey4QnRm8/ckygJLg7c+n+64Hag5f6S1pvgiAAXE5Qb0bn15fchPw7f94fB53KPmawK96aYwB4q/2+dQeCaA6yQGfM1ovAfYazY7HayEaQek1+2V1ZKFjrjh7nTrXUEyW11fjDclnmnMbgLLX4NfnMXMS0P+3gR9D7AAgwv18OnpDNYQ/S5YswciRI1FZWen29LvKyko88sgjmDx5stf79LvzyWw2Y/PmzXjiiSfwj3/8w2Vi8YSEBDz88MN49tlnYTZrPzpGd2q/gW4vweuQ9MMuuRubnWHT102YMprf4Y2UkQRNzdc+bGwAkkcL0TbcZLTVqN+QuukcsdkVbPrvaUy5tjfMJj5n09U8o2QAzF112eMuYLMAldtcT4+NCP6FsH16fTWe8q/jSWq5PH3yaP8OMkDc1JAOUEZ3N6gB4gYAEdpe2blTCjT/YiGgFm++pI50MrTqopVMPp12GtTnX2OFetpfZy5uht+fx1LH+VyPeH+N8Z4PECNja7m5ucjNzfX4927duuH+++/3aZ8BTdoTFRWFF154Ac8//zxKS0tRW1uLpKQkXHXVVW6HZpEWjitF9bkX6D7F790wxtBkA6LM6PqrCnTRPAYmI5A/Korr4Y2UkTgE/Cp21JZhrwFRGZ3cmQEwRMDEGPdtw8/zj6mXS05qfyqPiTHk518NU1QUtxO2ipAxuBgkKVL9Zl1DPr2+HDUqMh0Y/jfv70Qydsmp/p7wU0M8o4xuSFD/X5owWMvD6pwsA2e0HUHp0wyQTFFP4bXVqO8lFFl9rAKoNUF7/jVXAd/O921qk6uWAomjfLgTya85L3l/jXGZz1arXqCn5WwfEwPyBxlgalRCO0m/r8Jo9GRQZow2Go0YPDjEhVlPnJfgjQ3s6gOMqQ1oBNdvxLkqYh5QRhIUjtpiiveptojQNlxkZOiw1ptM2l8EItREyBg8rMveG3j9+nJ0PhmjuuTqS8HERQ3pBGVsg8Grec+Eo9iAprOArRowt8xXGRn4B9ugPP+sZ9WOJ8kMxPTtfPvI7kDiD7rsAiq8v8a4yyc3AlG9gOSWM34Yg0lWAKNBX5+9FQaUu5nsvxN33323X3fHGMOqVavc/s3vd3EHDx7E5s2bMXfuXHTr1n446oULF7B27VrccMMNHQ7X0rMo60FEm1zPZVaYBLvNDEN9NWCzu7+hrVr9N8DRQ3YZrYb+BbSrsEUZ+SBCxoAxL79EaTzl/moxUK5cWcbg/Yc6EdqGn4yKx6uM2u12bNq0CVOmTOH2dHcRMgYd82k8g1+cr68fGGC2lqHDMRQNx9V/dXQVOICnGuIZZXRDcv6HuFAAMCCyJ2AOzkxNXrcNk4H64+2vpOdw+ZD6b0w2MOwvQTm2YOH9NcZnPqZ2TLZM2G632fT5PsTP+SfffvttsA7eRzDG3J59pUnn04oVK7BlyxaPE4qnpqbij3/8I/bu3YuVK1f6ezdhre/5hUiI8fBHb64I7MMHRHdMRmDKaM6GN7YR0oz1JwDYNL8bEwOmDJZgavK290F/dJsxjIapAgAq/wscfrbz7QwRXu9SuDrSXK1OvKzHb7MVKwD3x20ymTBlyhSuRwaJkDEQjAEXL1wArBdhZ0akRFmAeO3v1/n6OrIUqPnKuxvprPNJuDrpjeZK9RQnHX377/N7EUFGPl2oAdJSO2lKJgNVX6hffinN6lXijJ4+BPnO6+df+f8HnPuw8x0G8diChfc64lc+xlq+lND+ixK/KFYgsofzV9Hehxw/ftzteovFgm+++QbPPvssRo4ciRdeeMHrKYD8fuR27tyJSZMmwWBwX5SNRiMmTZqEHTt2+HsXYc9mSEazybW4MaaOfoo0yTBIHbyQIrqpl3QOkF3mcIhjGyHLyGxA/KDgXvnI7f0w2K12mCJNunoT5xO9ZlQYcNKHS4IHE1Paz1lQ3/KNnjEGMHn4tjHphz6fziJUHZEvA9FZQLxOR+R2MGG03W7n/g2RCBn9pTDAIFuQEbEH8XGxiDDaIUUGeaJkd3WJMdhtgKn+iPp7RJrHEXoA1L/1KAjucXUBoeqkVxvXqZdwjxuo5SEFl8/vRSQgKoy+gNJIagJwVW8gvqML08lNaieBrRYwxqlzsAW5g8fl+cdktd605agz5mTPndiSCejh/5y6WuK9jvieTwEgAQnD1FMgw1Gb99sivQ/Jysry+LchQ4bgpptuwtChQ/Hhhx96PfG434/cuXPnkJnZ8YfyjIwMnD171t+7CHsV3Z6BMfXHLuvsioTaxkiM7H0B8VHajpqxy0DhN02YMqwWZtRrel+hYpclFB5Ix5TBZ2E2dnGvOFPUyRNjPL/wgsFus6Fwqw6HcPpAtxlDdZl0uQH4dqE6d4E76T8BMu8Iyl0560gohkkzBWg86dvEoH5wqSNKNRCbE/TLzYea3W5HYWGh/l5jPhAho1+UZvU0FIUBcj16pEiIT9ZgyFPTOeC7+wG769BuCYDLZ9YhL4fvhwg/hbROAkDj6SvzZWnE5/dbthr1A6OOaqlu34t0ge5JHv7QdBawXlBHPDFFveKqKTbo9+/yGqvdARz5X/VLYE9yHgMShwX9OLQU8jrSGcbUqR06etw74NdnNmZXOxHjBgLB/rJEA/Q+xFX37t1x88034/XXX9e+8yk2NhYXLlzocJsLFy4gKkpfE0r6QpYSEcrOa7NJwvRrooHLFUBsf/XbRs6YAUwfBwC9u/7OJUmTy1K3ZTabMX36dM3vJ5REyBhU9cc8dzxJEUDC8KDdlbOOhILSpE4KGjtQnSRdI+3qSBRfH4wBMV5jImT0i3wZaDwIyAySLe7KBMDBVvd9u46ndmL6AhGp2tx/CIW0TjKmdjzF9NP0fZ5f77eiemp0NNqgGuJeh2PAGsrVK9uZEtUrfkVq87nO5TVWvbvjDhBzKhDbT5Pj0FJI64g3mA0AU9+TmZN8vrnfn9kkg+fR/GGGakh7CQkJKCsr83p7vzufRo0ahQ8++AB//OMfkZSU1O7v1dXVeP/99zFqlC+XrtSXZnNvuJ1ZxV4HWM8D0PZbKsaAuiYD4o12SHEDgVgvruqgM4wx1NXVIT4+3utzSfWGMpL4+iJkV78Jc00zcE5Wr64BAHFXAbnLXTc2mH2a06kzjDHUNTLER0vetQ1j6pxJwRitJNerV/1M/iFgigt8fx6I8PyjjAJrOgdIDCw6A0Bkyzs7L7+5Zgyo3QNYL15ZZ6sGLm5xXlrayV6n/ptyPdD/1612wVDXxBAfJUEyxYT/HDl+1C63dZIp6rxHWs9VwmT1MU0crmlnjwivLxEyBowxAIpaVxSr+hyPSHNOuBzQfmv+D2i+dGWd9SxQVQzAAIaWU4clQGpuqUd9FgLdJrfflzGqfX3SAWcdiWKBz0BhvYig1x7FCsAIJI0CIpJ9vrkIry8RMvqisrISH3zwAXr29P7/TX53Pi1atAgzZ87ExIkT8ec//xnjxo1z/m379u144IEHUF1d7XFCci64K3xMUU+ZMcYDEdp9mAIAu51h52EF+aNSYQ7S1SbCjd1ux86dO5Gfn8/t8EbKSFLq1iPOXqr+0vozY2x/TYa3t2aXgZ3fW5E/ysth4HKDOvdDRKraERaQlJa5I7QdISvC848yCqzhBBDn59wr9UeAksd9u01cjktdstsZdpY0qTUk3N+MWy+qp4v5+MHVLkvYWdId+bkXXE8nMSUA5nhoeyUNptZIDTvoATFeXyJk9Iezv5jJwPnPALtFHZlss6h/NPt5FoDcpJ4WDAB1B4FDSz0fA9D+bJL4QZq/B+pKdhnY+V0T8q+qgNkcYOeZKV6tCUHthGOAIRow+jc6S4TXlwgZW3vmmWfcrrfb7Th9+jQ+/PBD1NTU4Omnn/Z6nxLr6Pp5nXjooYfw8ssvQ5IkREZGomfPnjh37hysVisYY3j44Yfx/PPP+7v7sGWxWJCYmIgvd21DXJzrmwG7zFBbW4+RI3IRn8zfqR2EiESWZZSUlCA3NxdGY3C/ZWtdR4bW3Y8Y635cTLoX3Xq1DCWXTEDcIMAQZhMD2OvUEUvps7h6U0iIFrqqhsTFxcGuSLA0RmKEL3NOVu4EDv9B/SATP9j1b4mj2o92MESpc3OE++gmTxor1NPpk8cEZ3+GSL9GCBDiC63qiKOG7NpXi2sHVKpzizWWqVeyMyWop/D68lq316kjpgCg9hvg5Fvut0se2+oXBqRc63JFMQDq6zRa2zlXA6LYWuas9PFjtN2ijmpPuSaw+zeYuTzFmWjD3xrS2bbx8fFYvHgxnn32We2vdgcAL774IiZOnIjXXnsNX3/9NU6fPo2kpCTk5eVh0aJFKCjQ39VM9ERRFNTU1CApKcnjVQf1jjLyQYSMgTAo6ml2jZGDgcSruvS+FcZQc1lBUpwBBm9Pu4NBVx8+RXj+UUbiF7lJ/Td2IDDI/TecnfG5hoQUU0db+nj6mgjPPcooLuPlb4Gas+p8kxGp6lWefR1RIzcCe+++cnquO5IZ6P8A0O2Gdn8KizrSXNVyKq0X9680AVG91AsTeTkKXFEYauqsSEroDoPO5kvzhgivLxEytlZUVOR2vdFoRFJSEq666iqfr/wX8FfqN998M26++eZAd0P8IMsyvv76a+Tl5XH7AqCMfBAho79SLOtgktU5EJihiyeiZAyyvRlfH1KQN9wAg9Gbzicb1Ddm4f4h8woRnn+UkXg1/QeTgUvb1VPPAPVUGECdQ8VPsgJ8fbgZeSOiYOiqaViY7N+8c4rVr45zEZ57lFFcvc17AHuiOvrRl1rAFKByh9ppY6tq6XgyXLlYjzEGyPkdENOn5QaSx9ef5nXEm5phq1JHe8YN9G6fhkif5sKSbTZ8vXsr8vJGgcdnnwivLxEyttZ6WqVgCei0OwdZlnHp0iVYre4n2M7KCuNhk36g0+4IEUNXnDJTuxpIaJmu5XjGGvTL0v4Ki04N5fCrE8mcAqRPC8KcT4TwrUtPu5MlWJoiMTLzAuIiPZx2V1UMHHIzwqn7TS6TiIc1uUmtXX7OS4L4wUDqj4N6SIRoSevT7mr3PY+E9BG+76BmD1DymOu62IHAsL8E5fiCqq7Uu5qROAJIHq354RDSlbR8L+KrgEY+7dmzB4899hh27NiB5uZmt9tIkgS73R7I3RAPFEXBpUuXkJaWxm3vK2XkgwgZ/VUTMxlKrAk1bACazf0A1HTdnSs2KPFX45I1A2mpSTAYvOyIMkToquNJhOcfZSSqTr5PtLbMxxLZA4i/Wl2WIoBes/y+R4UxXKpVkJbYRafLMBsQkQSkjldHVvjKj4m7RXjuUUaBRfp5Cpj1vPpvRDcgYQgAg9qR7QfN64hkApJ+CET37ng7U3zw77sF788/3vMBYmR057PPPsMrr7yCr776ChaLBSkpKRgzZgx+9atf4YYb2p9G2xG/H7V9+/bh+uuvxxdffIH8/HwwxjBs2DDk5+cjLS0NjDGMHz8ed9xxh8/7Li0txQ033IDY2Fj07NkTS5Ys8di51VplZSUWLFiArKwsxMbGYsiQIfjb3/7Wbrtdu3Zh4sSJSE5ORlpaGgoKCrBv3z6fjzPUFEXB999/D0VRQn0omqGMfBAho7/Opj2Bim5/wKnYexH4tXdb2OvVST87+5HroRhT8f3h01DMKUBkN+9+zInBOc4uIsLzjzISjyrWAfsXqT8V69V1ST9UT4fJ+R0w4DcBTeyrKMD35TYE1Cz2y97VrKZzQNNZAEa1A83bmtX6x48RUyI89yijwAyR3m/LGHDsT2o9Of1vdV3iiJZ6sgRIHObXIQRcR2yWjmuGJHlXMwI4BbkzvD//eM8HiJGxraVLl6KgoACffvopDAYDZFlGQ0MDPv74Y9x444149NFHfdqf3yOffv/73wMAvvrqK+Tm5sJgMGDmzJl46qmn0NjYiIceegj/+c9/8NZbHq504EF1dTXy8vKQk5OD9957DxUVFfjNb36DhoYGvPrqqx3e9tZbb0VpaSmWLVuGrKwsbNq0Cffddx+MRiPmz58PADh06BDy8/ORl5eHNWvWwGq1YtmyZZg0aRIOHDiAnj31MwGcyWRCXl5eqA9DU5SRDyJkDCvWc+qbrM5GJ5mTYIpKQl6ef28W9UKE5x9lJB5VrAHkBtd10d7PU9IZk1FC3ogAP7A1nVMnAfdmRKU5Ub0SlyEisPv0gQjPPcpIvNJ8Abjwieu6IFyVLuA6Yj0LRGW4ryGMqaOzQnyFXt6ff7znA8TI2NrWrVvxhz/8Addffz3eeust9O/fH0ajEQ899BDuuece3HvvvXj++ecxduxYTJ8+3at9+t35tGvXLkybNg25ubnOdY7po6Kjo/Hqq6+iuLgYjz32GFavXu31fv/2t7/BYrHg/fffR0qKOveJ3W7HwoUL8dhjj6FXr15ub3fu3DkUFRVh5cqVuOuuuwAAeXl5+Prrr7F27Vpn59P7778PxhjWr1+P6Gj1269hw4ahX79++Pzzz/0aqRUqiqLg7NmzSE9P53boH2XkgwgZAycFbeATGANi+wOJwzvdVFEUnK2o4LptRHj+UUbiILU99U5pmY9zwCOAOUEd+ROX2/6GflIUhrPVCtKTDd6futuWBCA+V/0JQyI89ygj8YrcUk+MMcDAxwFDVFBet4HXEaP6nie2f8DHohXen3+85wPEyNjaK6+8gsTERJd+GYfevXvj3XffxcCBA/HKK6943fnk96NWW1uLfv36OX83m824fPnylR0bDJgwYQK2bNni034/+eQTTJ482SXgnDlzoCgKCgsLPd7OZlMn10xMdD0dJDExEa3nVLfZbIiMjERUVJTLNgAQhLnXu5SiKDh27BjXQ/8oIx9EyBheGLydSFyEtqGMfBAhYyAY3Jy52/oKT0k/UE+3ix/s1xXfPFEYcOyMDUpAb6HC+wqaIjz3KCPxCmu5mIEhSq0nCUMAKfAJjINXR8IX788/3vMBYmRs7csvv8RNN93UruPJISoqCjfeeCP27t3r9T79fvfRvXt3VFdXO3/v2bMnjhw54rJNU1MTGhoa2t60Q6WlpRg0aJDLuqSkJKSnp6O0tNTj7TIzM5Gfn49ly5bh4MGDqKurw7p161BYWIhFixY5t7v99ttht9vxxBNPoLKyEmfOnMGvf/1rZGZmet1jFy5MJhPGjRsHkymgeePDGmXkgwgZw4oPQ6hEaBvKyAcRMgad0uqqdxpdJMBklDBuaBRMxkA++HnfYR4KIjz3KCPxitIyB2+Q60nAdURy/ids8f784z0fIEbG1mpqapCd3fFp+omJiWhsbPR6n353Pl199dU4dOiQ8/drr70WhYWF+OKLLwAAJSUlWLduXbuOpM5UV1cjKSmp3frk5GRUVVV1eNv33nsPPXr0wODBg5GQkIB58+bh5ZdfxqxZV67ikpOTgy1btuDNN99EWloaMjIysGPHDmzevLndqCkHq9UKi8Xi8gOoQ0Qd/7ZedoygstvtkGXZuezoJfW0bLPZXJYd+3EsM8Zclq1WK06cOAFZlp0jvxRFcVl2XGnQ07Isyy7LjuP1tKx1JsexO5YVRUF5eblzwnkeMrVtJ7vdjuPHj0NRFG4ytc3R3NyMEydOwG636y5TsHRWRxhTnMuyzCC3LNvbLCuelh35ZKZO2ClJVEeojug6Ey91JFg6ryEMjCmA1KqGsFbHIJm9ryGOZfuV9zSOZcaYy7K1WcGJ83bIsgKbveW9EGOwyVeW7fKV90julmUZsDvrX/i1I9UQfWbipYYE672IpxrieI8hK1feb3h8H2Jv6XxyV0/8rCE2u7qf8nM2WJvVrLzVEMf+OnuN6fn1RjUkvDP5IzU1FZWVlR1us3PnTgwYMMDrffrd+TR16lTs2LEDZ8+eBQA88sgjYIzhuuuuQ7du3TB06FDU1NTgscce8/cufMIYw913340jR45g9erVKCoqwiOPPIIHH3wQa9eudW53+PBhzJo1C/n5+fj888+xYcMGZGdno6CgAOfPn3e77+XLlyMxMdH5k5mZCQCorK5R/62pRWVNLQCgqqYGTdYmAMDevXtRVlYGANi9ezdOnToFACguLnY+bjt27MClS5cAqJN61dSo+ywsLERdXR0AYNOmTWhqaoLdbsemTZtgt9vR1NSETz/9FBUVFbBYLM5TEmtqarB161YAwKVLl7Bjxw4AwNmzZ1FcXAwAOHXqFHbv3g0AKCsrcw6VO3LkCPbv3w9A7TwsKSkBAOzfv985qk3rTJs2bQIA1NXVobCwEIqi4MSJEygqKuImU9t2unjxIg4ePAhFUbjJ1LadvvjiC1RUVODkyZO6ylRbq76ug6GzOtJQX4mL1eobwf3lNhypUP9HtvdoM8rOqcu7DzXj1EX1f1jFB604W63+z2THd1ZcqlWXt+5rQk1DBACJ6gjVEV1n4qWOBEtnNaS6phYNl9Uv6U6Ubkf9/ueAoy8AABgkQDJ5X0Muq8uF3zShrlF9o7vp6yY0NQN2WV22y0BTM/DpHisqKmVYGhgKv1Hf/9RcVrB1n7p8qaoBO/Y3ALYanL1Yh+ID6vKpc3XYXaoul1VGYe/BMwDCsx2phugzEy81JFjvRTzVkO9Pqa/xkpM2lJxUP6y2fR9ScfIocOR/UX/kn+rODBFBqyGbvm6CwoCTF2Vs3qvOKeVSQ2oV7PjOCijNHdSQGOz9/iSA8G3H6upqHDhwAIqiUA3RSSbRa0jfvn1x9OjRdusZY7BYLFi4cCG+/vpr53zb3pCYnxMd2Ww2VFVVITk5GRER6hVHiouL8dxzz+H48ePIzs7G4sWLMXXqVJ/22717d9xzzz1Yvny5y/qMjAzccccdWLFihdvbffzxx7jllluwf/9+DB061Ll+/vz52LRpEyoqKgAAs2fPRnl5Of7v//7Puc3ly5eRlZWFBQsWYNmyZe32bbVaYbVanb9bLBZkZmaieEcREhLinb3+BoOEZpsMi6UBo0Zejej4FEiSBKPRCLvdDoPBAIPB4HHZZrPBaDQ6l00mE6SW0QuO4X12u91l2Ww2gzHmXFYUBbIsO5cVRYHJZPK4LMsyGGPOZQAwGo0el+12O2WiTMJkstlsOHToEHJzc2E0BjanQWd1pPJyBLrFNSI3vQayzAAJMBok2GUGqdWyQVJrTbtlA2CQJNhkBmPDMRi6jYcteiC1JWWiTCHMZDAYUFJS0iU1pNku4bLVhFFZlxCzfw4k25VvK5k5FdIPV3tfQxzLdgaTEWrmlmVA/fDYetlsktTMLcsKY5AVwGwAlLpSKKZuMBnVeV0URb2toqi/m4yADBNY0o9giu8Tlu3I43OTMuknU7Dei3iqIVUla5CckuIc3WQ0SO3ehxiOPQ9DZdGVnSX9EPaBf9C+hhjVZUUBTE1lUIwJHmpIBFjKNTDFZoRtO/L43KRM+sjkbw1Zvnw5nnrqKZw+fRo9evRwZoiOjnaeajd79mysWbMG3k7A7vcJi2az2XkQDj/+8Y+xceNGf3cJABg0aFC7uZ1qa2tx9uzZDk/hO3jwIIxGI4YMGeKyfuTIkXjjjTfQ0NCAmJgYHDx4ENdcc43LNnFxcRgwYACOHTvmdt+RkZGIjIxst95xNYbWV2UwSBKklvlWWp8P6s2y2Wz2adlgMODo0aPo27evc73jiertcusnoDfLWmdyLEuSBLPZDFmWUVZWhr59+3KTqe3xMsZQXl6Ovn37OouL3jO1XWaMOZ+rjvvVS6Zg6ayOSNKVK7wYW815YPK0LNnUq9rJLYW8ZUSteuTqN5dUR6iO6DkTD3XE8YYzGDzVkCj7CaTV/h9kRUKy3QDzuXpItpY5ObPuBgzRkFqufOmxnrRaNrdeNrVerwCKOhLCLMFZcwyM4ehpoG8PwGyQAFkdVm8AAEWBwRQFQ4/rgcieV9YDLstGwDmHTLi2I9UQ/WXioYY4jj0YPNUQo+O9R6vPM8aGEsDyHYCW9xj1h9U/dMsH4gYCyWN9ryEuyy0LjMFssEG2KSg7r9YRyNKV+uBST5pgSPoBDIkjALStIRJg8L5NQ9GOjDGcOHGiw9eYnl9vVEPCO5M/fv7zn8NoNKK6utrZ79O3b1/ExMRg0KBBmDt3LmbOnOnTPsNutqyCggIsW7YMNTU1zrmf1q9fD4PBgPz8fI+3y87OhizL2L9/P4YPv3J58T179qB79+6IiYlxbrd3714wxpydRBaLBUeOHMHEiRO1C6YBxhiqq6vRp0+fUB+KZigjH0TI2KWslwB7LSBFuP+7KQGQvCvvIrQNZeSDCBn90avqOfQwtbrgS33Lv5IJSJ8VvImB648Chph2q5kCVFvi0Sepzv1kDqZE9bLsGk143hVEeO5RRuLEFKDkCUCub/+3bpOBxOHt1/vLeh5QmsAUY8d1BFDf2+i4lvD+/OM9HyBGxtYyMjKwZMkSl3XuTsPzRdh1Pi1YsAB/+ctfMGPGDDz22GOoqKjAww8/jAULFqBXr17O7SZNmoQTJ044H4ApU6YgKysLs2fPxtKlS5Geno7CwkKsWrUKzzzzjMv+Z8yYgZ/+9Kf4+c9/jqamJrz44ouwWq345S9/2eV5A2EymTB69OhQH4amKCMfRMjYpZgdiOwBpI33vI3J/QUU2m0mQNtQRj6IkNEfRnsVYAIqIyeCGROQFN0Ek4EBSaOC/CHNACSNBGJcr3xjAjC6dye3MycF8Ti6ngjPPcpIAAByI1C790rHU7cb4LyKXGQPIGGIx5v6RWkGonrBlHJNJ3WkhSkhuPffhXh//vGeDxAjo9aCd05JkCQnJ2PLli0wmUyYMWMGfve73+GXv/wlXnrpJZftWs8sDwDx8fHYsmULRo0ahUceeQTTpk3Dxo0b8dJLL+HRRx91bjd9+nSsW7cOR48exW233Yb58+cjOjoaRUVFyMnJ6bKcwSDLMkpLS4M6rD/cUEY+iJCxaymAIQqISPX8Y/DuuwUR2oYy8kGEjP4wMHUOl/icnyFxyK9gGvgbYMBDQFqQR3NLEhCR1q7WyMYklB6/CNmY5KEeJau31TERnnuUkQAADj8HHGr50t4YBwz4rVpPBjwEZP4MkAKYu44pwOXDwOUj6kjK+qOA3ACYU7yoI473Nvoc9QTw//zjPR8gRsa2GGNYtWoVJk2ahLS0NJjNZqSlpSEvLw+rVq1yXn3PW2E38gkAcnNzsXnz5g632bZtW7t1AwYMwDvvvNPp/m+99Vbceuut/h5eWHFM9sUzysgHETJ2GcYAKXjfHYjQNpSRDyJk9JWj8ykiwgwYg3NJdrcYPHYiidAulJEPImQMSKN6xThE9QZ6FAR338wOGCKBxBFqR7ZDRLJ61wK0De8Zec8HiJHRoampCdOmTcPmzZshSRJiY2ORlZWFixcvYvv27di2bRv+/e9/Y8OGDYiKivJqn2E38ol4z2g0YuTIkQFfQSecUUY+iJAxONp8e8BkwFYL2Gpcf+zBuewyIEbbUEY+iJDRH4aWCwzA0H4iYb8wBtgs7etOy721JUK7UEY+iJDRb83VwPFXgeYq9fdBzwC9Zge+X7mhTR0xALH9gdi+V37MSUK0De8Zec8HiJGxtWeeeQZbtmxBQUEB9uzZA4vFgmPHjsFiseCbb77BlClTsGXLFjz99NNe75M6n3RMlmV8//33XA/9o4x8ECFjMLQbU9B0Tp13QbG5/kR0C9q8ByK0DWXkgwgZ/aVIUepEvMFgrwVsVe3rTmR3wND+IgcitAtl5IMIGf12aTNwfgPAbIBkBszJwdlvw4krNQQSEJFCdYTTjLznA8TI2Nq///1vDBkyBBs2bMCIESNc/jZ8+HBs2LABw4YNw+rVq73eZ1iedkcIIQQAFCCiF9Atr/2fdDzvASEkeM5EzUF0ej6y3Xyg8wtjgDEeSJ/metVMyUB1hxBeyS2nEsVfDWTeDZhig7NfyQykjFVP4wOojhCiI5cuXcK8efNgMLgfryRJEgoKCvCnP/3J631S55OOGY1GDBkS5KtOhBnKyAcRMvrrUn00GhGNhmYTuse72cAQARiDdDqNGyK0DWXkgwgZ/XHCcAv6Rg0EUBOkPTJ1GKYh0qsLF4jQLpSRDyJk9JvSchGnuKuAxGHB2Sdj6jxxhqhO38eI0Da8Z+Q9HyBGxtb69++PysrKDreprKzEgAEDvN4nnXanY7IsY+/evVwP/aOMfBAho78yky3ITqnFoB5VSItrcrOFtleJEqFtKCMfRMjoj6yUeqS6rR2BkLy+Qp0I7UIZ+SBCRr+xlrnjpGCOS3DMY9l5LRGhbXjPyHs+QIyMrf3617/G2rVr8d1337n9+4EDB7B27Vo88MADXu+TRj7pXHR0dKgPQXOUkQ8iZPRHn5Q6JMR7ukIV65JLlIvQNpSRDyJk9FVGUhMSYoPZ+cTga6e3CO1CGfkgQka/sJaRT1KwT4nzviNbhLbhPSPv+QAxMjr0798feXl5GD16NH72s59h3Lhx6NGjB86fP4+dO3fi7bffRn5+PnJycrB9+3aX244fP97tPqnzSceMRiMGDRoU6sPQFGXkgwgZ9UqEtqGMfBAho3+0GsTu3QdGEdqFMvJBhIx+c5x258Wptt7zfuSTCG3De0be8wFiZGwtLy8PjDFIkoSVK1firbfecv5NaulU3rhxIz7++ON2t1UU91+sU+eTBrpgoAIAwG63Y+/evRg5ciRMJj6bkjLyQYSMeiVC21BGPoiQ0S+SFp1P3r+REaFdKCMfRMjoF7kRqD+sLgf1tDt4/aFIhLbhPSPv+QAxMrb29NNPgzHW+YY+4P9R45gkSUhOTnb2PPKIMvJBhIyaYNC8N1uEtqGMfBAho1806XwCvO2AEqFdKCMfRMjol313AzEty4GedmezANbz6nsXJgPGWHhTS0RoG94z8p4PECNja08++WTQ90mdTzpmNBp9ml1ejygjH0TIqFcitA1l5IMIGf2jQeeTD2+sRWgXysgHETIGJDoLSPqh77ezXgBs1QCMAFOA2GwgdqD6N8kARKR0ugsR2ob3jLznA8TIqDW62p2O2e12FBcXw263h/pQNEMZ+SBCRr0SoW0oIx9EyOiXYI988nGIvQjtQhn5IEJGv8QMAPo9AIz4BxCT5fvt5QYgph/QcyqQfguQch0Qf5X6E5cDGDofTSVC2/Cekfd8gBgZtUYjn3TMYDAgIyMDBgO/fYiUkQ8iZNSOto+ZCG1DGfkgQka/aHXanZejn0RoF8rIBxEy+iX3D0BScmD7MCcDMdl+31yEtuE9I+/5ADEyao06n3TMYDAgO9v/Qq8HlJEPImTURnAn+XNHhLahjHwQIaN/gv0m2Le6I0K7UEY+iJAxJBgLeH5KEdqG94y85wPEyKg16rbTMbvdjh07dnA99I8y8kGEjHolQttQRj6IkNEvmk047h0R2oUy8kGEjKHBAq5DIrQN7xl5zweIkVFr1PmkYwaDAf379+d66B9l5IMIGbUR+Bu6zojQNpSRDyJk9EvQawSDL28PRWgXysgHETKGhm81wx0R2ob3jLznA8TIqDU67U4rXXAJRsd5pzyjjHwQIaNeidA2lJEPImT0i2QM7PaNFYDceOV3uRGI6eP1zUVoF8rIBxEydhmbBbCeByC11I/AO594bxveM/KeDxAjo9ao207H7HY7tm7dyvXQP8rIBxEy6pUIbUMZ+SBCRv8E+FZOaQTiBgDdJqo/PacAyaO9vrkI7UIZ+SBCxi4j1wNRva7UjNg+Ae1OhLbhPSPv+QAxMmqNRj7pmMFgwJAhQ7ge+kcZ+SBCRu1of9od721DGfkgQka/GCMD30dMP7UDyg8itAtl5IMIGbsMUwBjNBCfG5TdidA2vGfkPR8gRkatUeeTjhkMBnTv3j3Uh6EpysgHETLqlQhtQxn5IELGkGAIaKoAEdqFMvJBhIxdKohTjIjQNrxn5D0fIEZGrVG3nY7ZbDZ89tlnsNlsoT4UzVBGPoiQUa9EaBvKyAcRMoaO/x8iRWgXysgHETJqrv4YcPkoYKsBpOCNYRChbXjPyHs+QIyMWqORTzpmNBoxevRoGI0BTjYaxigjH0TIGDC5CWi+5LquuVLzuxWhbSgjH0TI2CWaq9X5WhyYPaAr5onQLpSRDyJk1IRiVycXZzIACUgcCkT2AMyJQbsLEdqG94y85wPEyKg16nzSSBdc7A4GgwEpKSna31EIUUY+iJAxYLYqwBQHmJOvrIvOBCK1Hd4rQttQRj6IkLFLNF8EorPU+VoAtePJlOD37kRoF8rIBxEyasJuAQwmIKIXYIgEEkcCptig3oUIbcN7Rt7zAWJk1BqddqdjNpsNGzdu5HroH2XkgwgZA8aY+gGw+w2uP35OAuwtEdqGMvJBhIxdQjKokwQ7aky3SUCE/2+mRWgXysgHETJqgwGSuaVeTAh6xxMgRtvwnpH3fIAYGbVGnU86ZjKZcP3118Nk4ncAG2XkgwgZ9UqEtqGMfBAhY9cJ3vBsEdqFMvJBhIzakRDMutGWCG3De0be8wFiZNQaPXI6JkkSEhL8HyqvB5SRDyJk1CsR2oYy8kGEjF0miHMDiNAulJEPImTUBGOAQdv5RERoG94z8p4PECOj1mjkk47ZbDZ8+OGHXA/9o4x8ECGjXonQNpSRDyJk7BIsuLsToV0oIx9EyKgpDSe0FaFteM/Iez5AjIxao84nHTOZTMjPz+d66B9l5IMIGfVKhLahjHwQIWPXCe5pd7y3C2XkgwgZtcGg9UdGEdqG94y85wPEyKg16nzSORGe/JSRDyJk1CsR2oYy8kGEjHokQrtQRj6IkDH4gjxc0gMR2ob3jLznA8TIqCXqfNIxu92OTZs2wW63h/pQNEMZ+SBCRr0SoW0oIx9EyNh1gjfySYR2oYx8ECFjUNnrgfoyoPGU9nclQNvwnpH3fIAYGbUmMca6pjubIxaLBYmJifhy1zbExcW5/M1uV2Cpa8DIkVcjLrGbpsfBGIPdbofJZIKk4XnYoUQZ+aDXjLIso6SkBLm5uTAajUHdt6OO1B59DwnxsUBjBRCVDvS4Kaj30xm9to0vKCMf9JixS2uIt+qPAj2mADF9gnIcemwXX1FGPug1o1Z1xFlDDq1FQlJy+w0aTwPmZCCqJ2BKBBKuDtp9t6XXtvEF7xl5zwfoN6OW70V8FZYjn0pLS3HDDTcgNjYWPXv2xJIlS9Dc3Nzp7SorK7FgwQJkZWUhNjYWQ4YMwd/+9jeXbe666y5IkuT2Z8WKFVpF0owIPa+UkQ8iZNQrEdqGMvJBhIxBxxTAegGwnld/FDnodyFCu1BGPoiQ0W+OWlF/DLh8CLBbgMg0IOUaTTueHERoG94z8p4PECOjlsKu86m6uhp5eXlobm7Ge++9h2XLluHvf/87fvOb33R621tvvRUfffQRnn32WWzYsAE33XQT7rvvPvzjH/9wbvPkk0/iiy++cPl58MEHAQAFBQVaxdKE3W5HYWEh1y8CysgHETLqlQhtQxn5IEJGTcj1gNwEGGIAUwIQkw0YfRgp1QkR2oUy8kGEjAGxXwZkKxDRHYjPBXreAsRr3+kEiNE2vGfkPR8gRkathd1pd8uXL8dzzz2HkydPIiUlBQDw97//HQsXLsTJkyfRq1cvt7c7d+4c0tPTsXLlStx1113O9ePHj4fJZMKWLVs83ueECRNw8eJFHDhwwKtjDJfT7ggh2hLhtDtCiHbC4rQ7mwVQGoFeswFjdFCPgRCivS477c5mAZQmoNcsqhWEcIROu+vAJ598gsmTJzs7ngBgzpw5UBQFhYWFHm9ns9kAAImJiS7rExMT0VH/WkVFBXbu3Imf/vSnAR5512OMwWKxdJhP7ygjH0TIqFcitA1l5IMIGbWj3dwUIrQLZeSDCBkDJ0HLeuGJCG3De0be8wFiZNRa2HU+lZaWYtCgQS7rkpKSkJ6ejtLSUo+3y8zMRH5+PpYtW4aDBw+irq4O69atQ2FhIRYtWuTxdmvWrIGiKJg7d27QMnQVu92OnTt3cj30jzLyQYSMeiVC21BGPoiQUY9EaBfKyAcRMgYmdB+oRWgb3jPyng8QI6PWwq7zqbq6GklJSe3WJycno6qqqsPbvvfee+jRowcGDx6MhIQEzJs3Dy+//DJmzZrl8TarV6/GNddcg759+3rcxmq1wmKxuPwAgKIw57/OZcacvaF2ux2yLDuXFUXpcNlms7ksO/bjWGaMuSwDwNSpU2EymZwjvxRFcVl2vDg8Lcuy7LLsOF5Py1pnchy7Y9lsNrvMxcVDprbtZDQaceONN8JsNnOTqW0OSZIwdepUGI1G3WUKFk91RJbV45IVQG6pI12ZG6A6osdMbduJ6kj4ZgqWzmsIa1VDrizbZUBW1NEMVEOohlAN0V8NCdZ7EY81RGn9PgQApC7PbDabMWXKFOex8lZDAPU1lp+f3+FrTG+ZqIboJ1O4CLvOJ38xxnD33XfjyJEjWL16NYqKivDII4/gwQcfxNq1a93eprS0FHv37sW8efM63Pfy5cuRmJjo/MnMzAQAVFbXqP/W1KKyphYAUFVdi0ZrEwBg7969KCsrAwDs3r0bp06dAgAUFxfj7NmzAIAdO3bg0qVLAICtW7eipkbdZ2FhIerq6gAAmzZtQlNTE+x2OzZt2gS73Y6mpiZs2rQJVVVVsFgszlMSa2pqsHXrVgDApUuXsGPHDgDA2bNnUVxcDAA4deoUdu/eDQAoKyvD3r17AQBHjhzB/v37AQAlJSUoKSkBAOzfvx9HjhzpskwAUFdXh8LCQiiKgpMnT3KVqW07XbhwAUVFRVAUhZtM7tqpqqoKJ06c0FWm2lr1dR0MnurI9yfV/2GVnI1ByUk5JLmpjugvU9t2ojoSvpmCpdMactKGkpPqG8395TYcqVDX7y03ouyiGYBENcSHTADVEL1n4qWGBOu9iMcackr9MFtSYUDJmYiQZFYUBadPn+a2hgBAVVUVNm/eDEVRuMlENUQfmYL5eSZQYTfhePfu3XHPPfdg+fLlLuszMjJwxx13YMWKFW5v9/HHH+OWW27B/v37MXToUOf6+fPnY9OmTaioqGh3myeffBIrVqzAmTNn0K2b58nBrVYrrFar83eLxYLMzEwU7yhCQkI8HKOeDAYJzTYZdXUNGDVqMKJikyFJkrN31GAwwGAweFy22WwwGo3OZZPJBEmSnMuA2hPqWG5sbMTOnTsxceJESJLk7GmWZdm5rCgKTCaTx2VZlsEYcy4Das+1p2W73a5pJrvdDrPZDMaYsxd5y5YtGD9+PKKjo7nI1LadrFYrioqKMGnSJBiNRi4ytW0bq9WKHTt2YMKECTAajbrJZLPZcOjQoaBM0OepjlQdehfJSXGQ6yuAqJ4wphd0aW6qI/rMRHVEH3XEYDAEbZLPTmtIy3sRo0FSR0NJ6rK9qRYSa4ax92zYmZFqCNUQqiE6qiHBfC/isYaUrEFySgpkaw2g2GDMvBUyM3ZpZsdrbNy4cYiJieGuhnj7GtNbJqoh+sgUzM8zgQq7zqdx48YhNTUV77//vnNdbW0tkpOT8dZbb7lcya61//3f/8Vjjz0Gm80GSboyUd5rr72GRYsWob6+HjExMS63GTBgAHJycvDJJ5/4dIx0tTtCxCDLdLU7Qoj/urSGeGKrARRby9XuIoN6DIQQ7WlVR9pf7a4GUOxAxmzAEBG0+yGEhJaW70V8FXan3RUUFGDz5s3O4WUAsH79ehgMBuTn53u8XXZ2NmRZdg51c9izZw+6d+/eruPpq6++wrFjxzo95S6cKYqCCxcuhNV5nMFGGfkgQka9EqFtKCMfRMioHQmQtLmClQjtQhn5IELG4Oj6q92J0Da8Z+Q9HyBGRq2FXefTggULEB8fjxkzZqCwsBArV67Eww8/jAULFqBXr17O7SZNmoQBAwY4f58yZQqysrIwe/Zs/Otf/8KWLVvwyCOPYNWqVVi8eHG7+1m9ejWio6Mxc+bMLsmlBUVR8P3333P9AqCMfBAhY3CE5g0f721DGfkgQkZtadf5xHu7UEY+iJAxIIwhFO9DADHahveMvOcDxMiotbA77Q5QJ+havHgxiouLER8fj5///Od47rnnEBFxZQjohAkTUF5ejvLycue6o0eP4vHHH8euXbtQU1ODvn37Yv78+fjVr37lMsRMlmX07t0b48aNwzvvvOPz8dFpd4SIoetPu+sF9LgxqPdDCAmd8Dntzg5k3AoYzEE9BkKI9rrstLvmaoApLbXCFLT7IYSEVjiddheWlSU3NxebN2/ucJtt27a1WzdgwACvOpOMRqNzNnk9UxT1agLp6ekwGMJuEFtQUEY+iJBRr0RoG8rIBxEyasI5mkG7kU+8twtl5IMIGQPDQjXwSYi24T0j7/kAMTJqjR41HVMUBceOHeN66B9l5IMIGfVKhLahjHwQIWPQKM1A/XHg8hGgoUzTD5QitAtl5IMIGf3WWKHWCg3nh+uICG3De0be8wFiZNRaWJ52F+7otDtCxECn3RFCAhGy0+4cV7iLywEMkepP/KCg3j8hpGt0yWl3pktqvYjOBuKvCtp9EEJCL5xOu6ORT0HXdX15iqLgxIkTXPe+UkY+iJBRr0RoG8rIBxEyBl3CcCBxuKYdTyK0C2XkgwgZ/ScBsTkh63gSoW14z8h7PkCMjFqjzicdUxQFFRUVXL8AKCMfRMioVyK0DWXkgwgZ9UiEdqGMfBAho99CNNeTgwhtw3tG3vMBYmTUGp1254cOT7uzybBcbsDIkYPptDtCdI5OuyOEBCLkp91l3AoYItzenhCiD11y2p25EuheAMT2Ddr+CSHhgU67E4L2XyHIsoyjR49ClmXN7ytUKCMfRMioVyK0DWXkgwgZg6trhjKI0C6UkQ8iZNQrEdqG94y85wPEyKg16nzSMcYYqqurwfPgNcrIBxEy6pUIbUMZ+SBCRj0SoV0oIx9EyBiQEFzlzkGEtuE9I+/5ADEyas0U6gMg/jOZTBg9enSoD0NTlJEPImTUKxHahjLyQYSMeiRCu1BGPoiQ0W8h/iwtQtvwnpH3fIAYGbVGI590TJZllJaWcj30jzLyQYSMeiVC21BGPoiQUY9EaBfKyAcRMuqVCG3De0be8wFiZNQadT7pXGNjY6gPQXOUkQ8iZNQrEdqGMvJBhIx6JEK7UEY+iJBRr0RoG94z8p4PECOjlui0Ox0zGo0YOXJkqA9DU5SRDyJk1CsR2oYy8kGEjHokQrtQRj6IkFGvRGgb3jPyng8QI6PWaOSTjsmyjO+//57roX+UkQ8iZNQrEdqGMvJBhIzB1zVX3uW9XSgjH0TIqFcitA3vGXnPB4iRUWvU+UQIIYQQQgghQgvd1e4IIWKg0+50zGg0YsiQIaE+DE1RRj6IkFGvRGgbysgHETLqkQjtQhn5IEJGvRKhbXjPyHs+QIyMWqPOJz8wpl6PtL6+vt3f7DYZ9fWNsFjqoEgRmh6HY+jfkCFDYDQaNb2vUKGMfNBrRlmWcfnyZedrPpgc+7TUNagrGhsBWz0QbQn6fXVEr23jC8rIBz1m7NIa0pqtAVDsgMUCGMxBv+/W9NguvqKMfNBrRq3qiLOGXG4AjI1ATB1g79r3IA56bRtf8J6R93yAfjNq+V7EVxILh6PQmdOnTyMzMzPUh0EI6SJVVVVITk4O6j6pjhAiDqohhJBABbuOUA0hRCxavBfxFXU++UFRFJw5cwbx8fGQpNCdH22xWJCZmYlTp04hISEhZMehJcrIB71mZIxBURQkJibCYAjuFHlUR7oOZeSDHjNSDeEDZeSDXjNqVUfCpYYA+m0bX/Cekfd8gH4zavlexFd02p0fDAYDevfuHerDcEpISNDVC8AflJEPImT0FtWRrkcZ+SBCRm9QDel6lJEPImT0RrjVEECMtuE9I+/5ADEyaoWudkcIIYQQQgghhBBCNEOdT4QQQgghhBBCCCFEM9T5pGORkZFYunQpIiMjQ30omqGMfBAho16J0DaUkQ8iZNQjEdqFMvJBhIx6JULb8J6R93yAGBm1RhOOE0IIIYQQQgghhBDN0MgnQgghhBBCCCGEEKIZ6nwihBBCCCGEEEIIIZqhzqcwtH79ekyfPh29e/dGbGwsRowYgbfeegudnSHZp08fSJLU7qepqamLjtx7q1atcnusv/vd7zq8HWMMK1asQFZWFqKjo3HNNdfgyy+/7KKj9s2ECRPcZpQkCWvXrvV4u3Bux6NHj2LBggUYMWIETCYThgwZ4na7N998EwMHDkRUVBSGDx+Ojz/+2Kv9nzlzBrNmzUJ8fDxSUlLwy1/+EhaLJZgRhEF1xDOqI6FDNUQ/qIZ4RjUktKiO6AfVEc+ojoQO1ZDQMYX6AEh7L730Evr06YMXX3wR3bp1w+eff4758+fj1KlTWLp0aYe3nT17Nh566CGXdeE8Kdqnn36KxMRE5+8ZGRkdbv/8889j6dKlWLFiBYYNG4a//vWvyM/Px759+9CvXz+tD9cnr732WrtC86c//QnvvvsuJk+e3OFtw7UdDxw4gI0bN2LMmDFQFAWKorTbZu3atZg/fz4ef/xx5OXl4Z133sHMmTOxc+dOjB071uO+bTYbbrzxRgDA6tWr0dDQgN/+9reYN2+e18WeXEF1xDOqI6FDNUQ/qIZ4RjUktKiO6AfVEc+ojoQO1ZAQYiTsXLx4sd26+fPns4SEBCbLssfbZWdns0WLFml5aEGzcuVKBsBtVk8aGxtZQkICe/TRR53rrFYry87OZvfdd58Whxl0ffv2ZVOmTOlwm3Bux9bPvzvvvJMNHjy43TYDBw5kc+fOdVl3zTXXsIKCgg73vXr1aiZJEistLXWu++yzzxgA9tVXXwV45OKhOuIe1ZHQohqiH1RD3KMaEnpUR/SD6oh7VEdCi2pI6NBpd2EoLS2t3bqRI0fCYrGgvr4+BEcUHoqLi2GxWDBnzhznuoiICPzkJz/Bpk2bQnhk3ikuLkZZWRl++tOfhvpQ/GYwdFwyjh8/jsOHD7u0EQDcfvvt2LJlC6xWq8fbfvLJJxg2bBiuuuoq57obbrgBKSkpumjfcEN1xD2qI6FFNUQ/qIa4RzUk9KiO6AfVEfeojoQW1ZDQoc4nndi1axcyMjIQHx/f4Xb//ve/ERkZibi4OEyZMgXfffddFx2hfwYPHgyj0Yh+/fph+fLlkGXZ47alpaUAgEGDBrmsz83NxcmTJ9HY2KjpsQZq9erViI2NxfTp0zvdVm/t6NBRGzU3N6OsrKzD27a9nSRJGDRokHO/JDBUR6iOhDuqIeGNagjVED2gOhLeqI5QHQl3VEO0Q3M+6cCuXbuwdu1avPjiix1uN23aNIwZMwZZWVk4fvw4nnvuOVx33XXYu3dv2J07nJ6ejmeeeQZjxoyBJEn46KOP8MQTT6CiogKvvvqq29tUV1cjMjISUVFRLuuTk5PBGEN1dTWio6O74vB9ZrfbsW7dOkybNg2xsbEdbqundmyruroaAJCUlOSyPjk5GQBQVVXV4W3b3s5x245uR7xDdURFdST82rE1qiHhi2qIimpI+LVjW1RHwhfVERXVkfBrx9aohmiHOp/C3OnTp3Hbbbdh4sSJuP/++zvc9pVXXnEuX3/99cjPz8egQYPwwgsv4LXXXtP6UH1y4403OidjA4D8/HxER0fj5ZdfxuOPP4709PQQHl3wff7557h48SLmzZvX6bZ6akeiD1RH+EB1hIQK1RA+UA0hoUR1hA9UR0gg6LS7MFZTU4OCggKkpqbi3Xff7fT81LbS09Nx3XXXYc+ePRodYXDNmTMHsixj3759bv+enJwMq9Xa7vKc1dXVkCTJ2RsdjlavXo3U1FSX/zl5S0/t6GiD2tpal/WObxBSUlI6vG3b2zlu29HtSMeojriiOhLe7Ug1JPxQDXFFNST825HqSPihOuKK6kh4tyPVEO1Q51OYamxsxM0334za2lp88sknLpfuFJXj/NlDhw65rC8tLUVWVlbYDk9tbGzEBx98gFtvvRVmsznUh6MpRxu1Pae5tLQUERERHQ6xdXcuNGMMhw4danfuNPEO1ZH2qI6EN6oh4YVqSHtUQ8If1ZHwQnWkPaoj4Y1qiHao8ykM2e12zJkzByUlJfj000+RkZHh137OnDmDXbt2YfTo0UE+Qm2sXbsWRqMRI0eOdPv3H//4x0hISMD69eud62w2G9577z1MmTKlqw7TZx999BEuX77s1fBUd/TUjv369cPAgQNd2ggA3nnnHUyaNAkREREeb1tQUIBvv/0WR44cca7bsmULKisrw7p9wxXVEaojremlHamGhA+qIVRDWtNTO1IdCR9UR6iOtKaXdqQaoiFGws78+fMZAPbiiy+yL774wuWnqamJMcZYXl4e69+/v/M2q1evZvPmzWP/+te/2NatW9kbb7zB+vfvz5KTk9nx48dDFcWj/Px8tmLFCrZx40a2ceNGdu+99zJJktiDDz7o3KZtRsYYW758OYuMjGR/+tOf2JYtW9isWbNYfHw8O3bsWFdH8Nq0adNYVlYWUxSl3d/01o719fVs/fr1bP369WzChAksMzPT+fuFCxcYY2oGSZLYU089xYqKitiCBQuYyWRixcXFzv2Ul5czo9HInnnmGee65uZmNmTIEDZ06FC2YcMG9s4777DMzEw2derULs/JA6ojKqoj4dWOVEP0g2qIimpI+LUj1RH9oDqiojoSXu1INSR0qPMpDGVnZzMAbn/KysoYY4yNHz+eZWdnO2/zxRdfsAkTJrC0tDRmMplYWloamzNnDistLQ1NiE7cf//9LCcnh0VHR7PIyEg2dOhQ9uc//9mlmLXNyBhjiqKwZcuWsd69e7PIyEg2ZswYlyIQbqqqqlhERARbsmSJ27/rrR3Lyso8PjeLioqc273xxhtswIABLCIiwll83e1n6dKlLutPnz7NfvKTn7C4uDiWlJTEfvGLX7Da2touSMYfqiMqqiPh1Y5UQ/SDaoiKakj4tSPVEf2gOqKiOhJe7Ug1JHQkxhgL3jgqQgghhBBCCCGEEEKuoDmfCCGEEEIIIYQQQohmqPOJEEIIIYQQQgghhGiGOp8IIYQQQgghhBBCiGao84kQQgghhBBCCCGEaIY6nwghhBBCCCGEEEKIZqjziRBCCCGEEEIIIYRohjqfCCGEEEIIIYQQQohmqPOJEEIIIYQQQgghhGiGOp+Irk2YMAGSJAW8n/LyckiShLvuuivwgwoTq1atgiRJWLVqVagPhZCwRTXEM6ohhHSOaohnVEMI8Q7VEc+ojvCFOp8I6UCw/megBR7/B0MIb6iGEEICQTWEEBIoqiMkXJhCfQCEhIOMjAyUlJQgMTEx1IcSNDNnzsTYsWORnp4e6kMhhHtUQwghgaAaQggJFNUREu6o84kQAGazGYMGDQr1YQRVYmIiV//zISScUQ0hhASCagghJFBUR0i4o9PuBPPuu+9i/Pjx6N69O6KiotCrVy9MnjwZ7777brtt9+/fj9tvvx3p6emIiIhAdnY2Fi9ejMrKynbbvvXWW5g+fTr69OmDqKgopKSk4MYbb0RRUVG7bbdt2wZJkvD000+juLgY+fn5SEpKchkOyhjDypUrcf311yMpKQkxMTHIycnBvffei5MnT7bbp81mw9NPP40+ffogMjISAwcOxGuvveb14+JuyKckSdi+fbtz2fHTdliot49T6/soKSnBzJkzkZqaCkmSUF5eDgB4//33MXfuXAwYMAAxMTFITEzE9ddf3659Vq1ahb59+wIA/t//+38ux7dt2zbnNp7Okf7vf/+LqVOnIiUlBVFRURg0aBCWLl2KhoaGdttKkoQJEybg/PnzuPPOO5GWlobo6GiMHTvWeV+tnT17Fg888ABycnIQHR2NpKQk5ObmYsGCBaitre2gFYgeUA1xj2oI1RDiHaoh7lENoRpCvEd1xD2qI1RHwh2NfBLI66+/joULFyI9Pd1ZKM6dO4fdu3fj/fffx6xZs5zbfvTRR5gzZw4MBgOmT5+OzMxMHDx4EK+++io+++wzfPXVV0hOTnZuv2jRIgwfPhyTJ09Gt27dUFFRgQ8++ACTJ0/Ge++9h+nTp7c7nuLiYixbtgwTJ07E//zP/ziLsKIouO222/Cf//wHGRkZmDt3LhISElBeXo5169ahoKAAWVlZLvuaO3cudu/ejYKCAhiNRqxbtw6LFi2C2WzG/Pnz/Xq8li5dilWrVuHEiRNYunSpc/2IESP8fpwA4OjRoxg7diyGDh2Ku+66C5WVlYiIiAAAPProo4iIiMB1112H9PR0XLx4ER999BFmz56NV155BYsXL3YewwMPPIA///nPGD58OGbMmOHcf58+fTrMtX79esydOxeRkZG47bbb0L17dxQWFuLZZ5/FZ599hm3btiEqKsrlNjU1NbjuuuuQmJiIO+64AxcuXMA777yDG2+8EXv27MGQIUMAAA0NDbj22mtRXl6O/Px8zJw5E83NzSgrK8Pbb7+N3/72t/TthY5RDfEN1ZArqIYQgGqIr6iGXEE1hDhQHfEN1ZErqI6EAUaEMWrUKBYREcHOnz/f7m+XLl1yWU5ISGAZGRmsvLzcZbs1a9YwAOxXv/qVy/rjx4+32+eZM2dYr169WE5Ojsv6oqIiBoABYG+99Va72/3lL39hANikSZNYQ0ODy98aGhpYZWWl8/fx48czAGzMmDGstrbWub60tJSZTCZ21VVXuXso2ikrK2MA2J133umy3rF/d3x9nBz3AYA99dRTbvd57Nixduvq6urY0KFDWWJiIquvr+/0mB1WrlzJALCVK1c619XW1rLExEQWGRnJvv32W+d6WZbZbbfdxgCwZ5991mU/jmNeuHAhk2XZuf6NN95gANi9997rXPfRRx8xAOzBBx90m6OpqcntsRJ9oBriGdUQqiGkc1RDPKMaQjWEeIfqiGdUR6iOhDvqfBLIqFGjWGxsLKuqqupwu5deeokBYP/85z897ictLc2r+1y8eDED4FLMHMV61KhRbm+Tm5vLjEYjO3z4cKf7dxTTrVu3evybxWLpdD/+FGtfHyfHffTs2ZNZrdZOj6m1F198kQFg27Zt6/SYHdwV63/+858MALvvvvvabX/ixAlmMplYv379XNYDYLGxsayurs5lvc1mYyaTyaUdHcX60Ucf9Skf0QeqIZ5RDaEaQjpHNcQzqiFUQ4h3qI54RnWE6ki4o9PuBHL77bdjyZIlGDJkCObNm4eJEyfiuuuuQ0JCgst2X375JQDgq6++wrFjx9rtp6mpCZcuXcKlS5eQlpYGADh+/DiWL1+OrVu3oqKiAlar1eU2Z86cQXZ2tsu60aNHt9v35cuXUVJSggEDBiAnJ8frbD/4wQ/arevduzcAdYhlfHy81/vylj+PEwAMHz7cOSy1rQsXLmDFihX45JNPcOLECTQ2Nrr8/cyZMwEd8969ewGol1xtKysrC/369cPhw4dRV1fn8pgNHDgQcXFxLtubTCb06NEDNTU1znXjxo1Deno6VqxYgW+//RY333wzxo8fj9zc3LC9xCvxHtWQ4KIaQjVENFRDgotqCNUQEVEdCS6qI1RHuhJ1Pgnkt7/9LVJTU/H666/jxRdfxAsvvACTyYSpU6fi5Zdfdk74VlVVBQD461//2uH+6uvrkZaWhqNHj+JHP/oRLBYLJk6ciFtuuQUJCQkwGAzYtm0btm/f3q54A0CPHj3arXNM4JaRkeFTtrb/wwHUYgIAsiz7tC9v+fo4ObjL7djf6NGjcfLkSVx77bWYPHkykpKSYDQasW/fPnz44YduH0dfWCyWDo8hPT0dhw8fhsVicSnW7h5fQH2MWz++iYmJ+PLLL/HUU09hw4YN2LRpEwAgMzMTv/vd77Bw4cKAjp+EFtWQ4KIaQjVENFRDgotqCNUQEVEdCS6qI1RHuhJ1PglEkiT84he/wC9+8QtUVlZi586dWLNmDdatW4cjR45g//79MBqNzhfmd99955x4rSMvv/wyqqur8fbbb+NnP/uZy98WLFjgvMKCu+NpyzF5W0VFha/xupyvj5ODpx7zN998EydPnsTvf/97PPHEEy5/W7FiBT788EP/D7aF45jPnz/v9u/nzp1z2c4fWVlZWLVqFRRFwf79+1FYWIhXXnkFixYtQnJyMubOnev3vkloUQ0JLqoh7lEN4RfVkOCiGuIe1RC+UR0JLqoj7lEd0YYh1AdAQiM1NRUzZszAO++8g7y8PBw8eBBHjx4FAIwZMwYA8MUXX3i1L8cQzbZXgGCM4b///a9PxxUXF4err74aZWVlOHLkiE+31YLRaATg/tsGXx+nznh6HAFg586dPh2bJyNHjgQAt5cUPXXqFI4dO4Z+/foFZVivwWDAiBEjsGTJEqxZswaAejUNwgeqId6hGuI/qiF8oxriHaoh/qMawj+qI96hOuI/qiPBRZ1PAtm2bRsYYy7rbDabc7il43KUd999N+Lj4/H444/jwIED7fbT0NDgPD8YgPPc5127drlst2LFCnz//fc+H+eiRYsgyzIWLlzY7hzhpqYm5/F2hZSUFABqIWvL18epM54ex9WrVzuHe7aWnJwMSZLcHpsn06dPR2JiIlauXOlyzIwxPPLII7Db7bjrrru83l9bBw4ccPsthGNd20ueEn2hGuI7qiG+oRrCN6ohvqMa4huqIfyjOuI7qiO+oTqiHTrtTiAzZsxAQkICxo4di+zsbNhsNnz++ec4ePAgZs+e7SwW3bp1w5o1a3Drrbdi+PDhuOmmmzBo0CBYrVaUl5dj+/bt+PGPf4xPP/0UgDoUdeXKlZg1axbmzJmD1NRUfPnll/jmm28wdepUbNy40afjvO+++7B9+3asW7cOOTk5mDZtGhISEnDy5El89tlnePPNNzFjxoxgPzxu5eXl4T//+Q9mzZqFgoICREVFYfjw4bjlllt8fpw6c8cdd+D555/H4sWLUVRUhOzsbHz77bfYsmULfvKTn+C9995z2T4uLg6jR4/Gjh07cMcddyAnJwcGgwF33HFHu8kQHRISEvCPf/wDc+fOxZgxY3DbbbehW7du2Lx5M/bs2YMf/ehHePjhh/1+vD7//HM8/PDDuPbaazFw4ECkpqbi+PHj+OijjxAVFYVFixb5vW8SelRDfEc1xDdUQ/hGNcR3VEN8QzWEf1RHfEd1xDdURzQUmovskVB47bXX2LRp01h2djaLiopiqamp7Ec/+hF7/fXXWXNzc7vtS0tL2T333MOys7NZREQES05OZkOHDmX3338/2717t8u2RUVF7Nprr2Xx8fEsKSmJTZkyhe3Zs4ctXbqUAWBFRUUu2wJgS5cu9XisiqKwN954g40dO5bFxsaymJgYlpOTwxYsWMBOnjzp3K6jS4feeeedDAArKyvr9LHxdJlPm83GlixZwrKyspjJZHK7jbePU2eXEmWMsX379rH8/HyWnJzM4uPj2fjx49nmzZvdXmaUMcYOHTrEpkyZwpKSkpgkSS6PtafbMMbYjh07WEFBAUtKSmIRERFs4MCB7Mknn2SXL19uty0ANn78eLfHm52dzbKzs52/Hzx4kD3wwANs5MiRLDU1lUVGRrJ+/fqxO++8kx04cMBjbqIPVEM8oxpCNYR0jmqIZ1RDqIYQ71Ad8YzqCNWRcCcx1mbcIiGEEEIIIYQQQgghQUJzPhFCCCGEEEIIIYQQzVDnEyGEEEIIIYQQQgjRDHU+EUIIIYQQQgghhBDNUOcTIYQQQgghhBBCCNEMdT4RQgghhBBCCCGEEM1Q5xMhhBBCCCGEEEII0Qx1PhFCCCGEEEIIIYQQzVDnEyGEEEIIIYQQQgjRDHU+EUIIIYQQQgghhBDNUOcTIYQQQgghhBBCCNEMdT4RQgghhBBCCCGEEM1Q5xMhhBBCCCGEEEII0Qx1PhFCCCGEEEIIIYQQzfz/CjzxIfjbTDMAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Choose indices to subsample the data and obtain a sample of size\n", "# sample_size_.\n", "idxs = generator.choice(total_samples, size=n, replace=False)\n", "\n", "fig, axes = plt.subplots(\n", " nrows=2,\n", " ncols=len(sample_sizes),\n", " sharex=True,\n", " sharey=\"row\",\n", " figsize=(12, 6),\n", ")\n", "for j, sample_size_ in enumerate(sample_sizes):\n", " for i, evaluation_ in enumerate(evaluations):\n", " for model_ in models:\n", " ys = model_to_evaluation_to_ys[model_][evaluation_][\n", " idxs[:sample_size_]\n", " ]\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " axes[i, j].plot(\n", " ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=models[model_][\"name\"],\n", " **models[model_][\"style\"],\n", " )\n", " axes[i, j].fill_between(\n", " ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=models[model_][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "for j, sample_size_ in enumerate(sample_sizes):\n", " axes[1, j].set_xlabel(\"search iterations\")\n", " axes[0, j].set_title(f\"n = {sample_size_}\")\n", "\n", "for i, evaluation_ in enumerate(evaluations):\n", " axes[i, 0].set_ylabel(\"accuracy\")\n", " axes[i, -1].yaxis.set_label_position(\"right\")\n", " axes[i, -1].set_ylabel(evaluation_, labelpad=18, rotation=270)\n", "\n", "for i in range(len(evaluations)):\n", " for j in range(len(sample_sizes)):\n", " axes[i, j].set_xlim(1, n // 4)\n", " axes[i, j].set_ylim(0.865, 0.915)\n", " axes[i, j].spines[\"right\"].set_color(\"lightgrey\")\n", " axes[i, j].spines[\"top\"].set_color(\"lightgrey\")\n", "\n", "fig.suptitle(\"DeBERTa vs. DeBERTaV3 on MultiNLI\")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similarly to before, our conclusion would've remained largely the same regardless of sample size. The main difference is at what number of search iterations our confidence bands become trivial, and thus for how far we can confidently claim DeBERTaV3 outperforms DeBERTa.\n", "\n", "Again, just for fun, let's see how the tuning curves would compare with a much larger sample size: 1,024 iterations of random search." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "for model_ in models:\n", " # Use all the data to obtain a sample of size 1,024.\n", " ys = model_to_evaluation_to_ys[model_][evaluation]\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " ax.plot(\n", " ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=models[model_][\"name\"],\n", " **models[model_][\"style\"],\n", " )\n", " ax.fill_between(\n", " ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=models[model_][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, 185)\n", "ax.set_ylim(0.87, 0.91)\n", "ax.set_yticks(np.linspace(0.87, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"search iterations\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'DeBERTa vs. DeBERTaV3 on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyzing a Hyperparameter\n", "\n", "After establishing DeBERTaV3 improves on DeBERTa, we should investigate which hyperparameters were most important. For example, we could ablate different parts of the model to find out what improved performance the most; or, we could probe how sensitive different hyperparameters are, and provide advice for tuning them.\n", "\n", "There's a whole literature on how to define hyperparameter importance ([van Rijn et al., 2018](https://arxiv.org/abs/1710.04725); [Probst et al., 2019](https://arxiv.org/abs/1802.09596); [Weerts et al., 2020](https://arxiv.org/abs/2007.07588)). Perhaps the most intuitive approach is formalized by [Weerts et al. (2020)](https://arxiv.org/abs/2007.07588). They suggest measuring hyperparameter importance by the *tuning risk*, or \"the performance loss that is incurred when a hyperparameter is not tuned, but set to a default value.\" In other words, tuning risk is the difference in the test score when you tune all the hyperparameters vs. all except a specfic one. It's what researchers measure when they run ablation studies.\n", "\n", "We can operationalize this idea with tuning curves. Just compare the full tuning curve to one where the hyperparameter is fixed to a default value. Let's illustrate this with epochs, assuming the default number of epochs is 3:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "for num_train_epochs in [default_num_train_epochs, \"all\"]:\n", " # Subsample the data to obtain a sample of size n.\n", " average_epochs = (\n", " num_train_epochs\n", " if num_train_epochs != \"all\" else\n", " np.mean(list(filter(is_number, epochs)))\n", " )\n", " ys = generator.choice(\n", " [\n", " y\n", " for hparams, y in zip(\n", " model_to_evaluation_to_hparams[model][evaluation],\n", " model_to_evaluation_to_ys[model][evaluation],\n", " )\n", " if (\n", " num_train_epochs == \"all\"\n", " or hparams[\"num_train_epochs\"] == num_train_epochs\n", " )\n", " ],\n", " size=n,\n", " replace=False,\n", " )\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " ax.plot(\n", " average_epochs * ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=(\n", " f\"default epochs ({default_num_train_epochs})\"\n", " if num_train_epochs == default_num_train_epochs else\n", " f\"tuned epochs ({min(filter(is_number, epochs))}-{max(filter(is_number, epochs))})\"\n", " ),\n", " **epochs[num_train_epochs][\"style\"],\n", " )\n", " ax.fill_between(\n", " average_epochs * ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=epochs[num_train_epochs][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, default_num_train_epochs * n // 4)\n", "ax.set_ylim(0.89, 0.91)\n", "ax.set_yticks(np.linspace(0.89, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"total training epochs\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'Epoch Importance for {models[model][\"name\"]} on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This plot illustrates an important idea. Tuning the number of epochs vs. leaving it at a fixed value changes the average cost per training run. If epochs is chosen uniformly from 1 to 4, then it is 2.5 on average. In contrast, leaving epochs at the default always gives a value of 3. Thus, each iteration of hyperparameter search runs 4 / 2.5 = 1.6 times slower on average. For that reason, we compare tuning curves in terms of *total training epochs* rather than the raw number of search iterations. A similar cost normalization is necessary when, for example, comparing models of different sizes.\n", "\n", "The point estimates suggest that tuning the number of epochs is about as good as using a default of 3. Looking at the confidence bands, it seems likely that they're at least within about .003 of each other. Let's see what would happen if we'd had more search iterations for our analysis, for example 245:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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m2CKcKVOm8Omnn7Z4/z59+tC3b98G28ePH88///lPNm3axNVXX83OnTtxOBxMnDiRhISEBvtPnDiRZcuWsXnzZsaPH8/OnTspLy/nkksu8UujNUVaWhr9+/dvsL1Xr16sWbOmxU5NUb/ZWFVVsrOzqaqqok+fPn6Pde/eHajtIFwXi8XCuHHjGmwfP348AJs2bQKgrKyMffv2MXz4cHr16tVg/4kTJ/Lyyy+zefPmBp1UzznnnJaL1cHlcvGXv/yFt956i507d1JRUYEQwvd4IJ+WPvfB3Ne1a9cCcOLEiYD9F3bu3On7f7ApibrnCOZ1WZfWPr+tYe3atSQmJjba1yY+Pt73fNTlzjvv5MUXXwRACEFBQQHLli3jnnvuYcmSJXz99dcN0lI2mw2HwxFU/f75z3822Hbfffcxf/78oM4DUF5ezvz58/nwww/Zu3cvlZWVfo/Xf/1169aN6dOns3DhQpYtW8aUKVMAeP3113G73dx0001omhbwWnfffTd333031dXV7N69m9///vdMnTqVZ599NmAn7vp436eBhrj36dOHAQMGsGvXLsrLy0lOTvY9NmTIEJKSkvz2t1gsdO3alZKSkmavG4hbbrmFjz76iA8++IAJEyaQm5vLz3/+c6xWa6vO19E89dRTLFiwgMcee4yrrroq6NRsS/nwww/ZvHmz37aLLrqowT1sr8/6YJABUieja9euTW4vLS0F8HV4bGx/7wvMu5/3uJ49e7a4Lo3lfi0WC6Zptvg8TZGSkhLw/I1tBwJ2bM7KykJVG45ZaOvzFuhcwXLNNdewaNEihgwZ4utTYbVaKSkp4YUXXvDNbVOXlj73wdzXoqIiAD755BM++eSTRver/wUaDOF4fpvD+yHbpUsX37aioiJ0Xec3v/lNo8c19zwoikLXrl354Q9/iMPh4Pbbb2fu3Lm8/PLLba7zmjVrOPfcc3G5XGzZsoW77rqL559/nuHDh/uNHmsOl8vFRRddxMaNGxk9ejSzZ88mMzMTi8XimxYg0Ovv1ltvZeHChfzrX//yBUjeTsu33HJLs9eNj49n1KhRvPrqq5w8eZKHHnqISy+9tNnAuyWvn127dlFWVuYXIAX6vADP+yWYDvd1mT59Ol27duVf//oX+/btwzTNFrlHCn369OEnP/kJv//973nppZe46667QnKdDz/8kNdee63B9voBUnt91geDDJA6GSdOnGhyu/eL0/uiamz/48eP++3nnWvlyJEj7VbXSKKwsBDTNBsESW193urSmiHK69evZ9GiRUyZMoVPPvnE75f32rVreeGFF4I+Z12Cua9epz//+c/cfffdbbpuc9foqOe3JXhHMo0dO9a3LSUlBUVR2m3Umbdj+/r169vlfF7i4uIYO3YsixcvZujQofzsZz/j0ksvbfEPnYULF7Jx40ZuvfVW/vGPf/g99tZbbwX8YgOYNm0a3bt3Z+HChRQVFbF37162b9/OhRdeyKBBg4JyyMnJYfHixaxatarZAKktr5/2xmKxcOONN/L888/z7bffcs455zRbf1VVcblcAR/z/pjpSH75y1/yr3/9iyeffNJv1GF78uqrr0bsJLlymH8n4+DBgwFnQV21ahUAo0ePBvANT1+/fn3Aoa/eLwVvs+bQoUNJSUlh/fr1AYfzRzu6rgdM+9V/3lJSUhgwYAB79uwJGFTUf95agjfoCfRL1TuT8/Tp0xukJbx1awvB3Ffvl3h7pUcDEezrMtTs2rWLt99+G5vNxpVXXunb/r3vfY9Tp06xe/fudrmO97lvr5bV+nTp0sU3zL2pVq/6eF9/M2bMaPBYU68/71B2p9PJf/7zn4BzH7UUbwteS1JT3vdpoOH5hw4dYu/evQwYMMCv9SiU3HLLLZimybFjx1rUepSenk5BQUGDSSQrKyuDeq2pqtrqlq+6ZGRk8NBDD3HixAm/0YqxggyQOhmGYfDoo4/69VHZunUrr7/+Ol26dGHatGmA55flrFmzKCwsZO7cuX7n+PTTT1m6dCmDBg3i/PPPBzy/hu68805KS0v5+c9/3uDNV1paSkVFRYjtQsujjz7q9+vt8OHDvPDCC9hsNn7wgx/4tt9000243W4eeeSRBs/zq6++SmpqaoOZiJsiIyMDIOA8O97+ZF9++aXf9m+//bbBfWsNwdzXc845h+9973u8+eabLFiwoMG5TNPkiy++aFN9gn1dhpKvvvqKKVOm4HQ6efjhh/1aXX72s58Bni/AU6dONTj2+PHj7Nixo0XXMQzD1xI4YcKEdqh5YO6880569OjBK6+8wv79+1t0TGOvvy+++KLZVKA3IHjppZd46623SE1NbXQJjsaWE9m8eTMvvvgiVquVSy65pNn6zpgxg9TUVF555RW+/fZb33YhBA899BC6rodseY9ADBs2jCVLlvDBBx9www03NLv/2LFjcbvdvPHGG75tQggeeeSRoFLXGRkZHD58uFV1rs/Pf/5zevbsyfPPP9/q/ljRikyxRTh79uxpclbbhx9+2G9Oj1GjRvHll18yduxYLrnkEt+cELqu89JLL/lN///ss8/yxRdf8Nvf/pbVq1fzve99j/z8fN555x0SEhJ45ZVX/FJOTz75JGvXruX1119n7dq1TJ06FZvNxr59+/j000/58ssvO+yXfXvTvXt3KisrGTVqFJdddplvHqRTp07xpz/9ye/L8cEHH+STTz7h9ddfZ8eOHVx88cW+eVN0Xefll18O6hfquHHjiI+P549//CPFxcW+vi6PPfYY55xzDueccw5vv/02x44d49xzz+XgwYN89NFHTJ8+vV0m3Qzmvr755ptMnDiRH/zgB/zxj3/krLPOIj4+noMHD7JmzRpOnjwZdIfi+gT7umwrdd9jLpfLt9TItm3bfMt81F+W49JLL+VXv/oVTz31FIMGDeLSSy+lb9++nDp1ij179rBq1Sp++9vfMnz4cL/jvvnmG7/3c0FBAStWrCAvL48+ffoEXFJE1/UmPwN+8IMfNDkzshe73c7DDz/Mz372M5588smAExnW57LLLqNfv34899xzbN++nREjRpCXl8fHH3/MlVde2eTrb/DgwUyYMIGVK1cCMGfOnEaXH7nmmmuwWCyMGTOGPn364HK5yMvLY9myZQgheOGFF1q09mRKSgovv/wys2bN4nvf+x7XXXcdXbp0Yfny5WzYsIFzzjmHBx54oNnztCeXXnppi/e9++67eeWVV7jttttYtmwZXbp0YdWqVZSUlHDGGWewZcuWFp1n0qRJvP3221xxxRWMHj0aTdO4/PLLWzUzdnx8PE888QS333475eXlje73v//9r9Hg84ILLuC2224L+tphp01j4CQhoyXD/AFRXFzsO4aaoZ2HDh0S1113ncjIyBB2u12MGzdO5ObmBrzOyZMnxc9+9jPRt29fYbVaRVZWlrjmmmsaHartcDjE/PnzxZlnnini4+NFUlKSOO2008R9993nV5dgh6s2RnPD/APR1LUJMPzVu39RUZG44447RNeuXYXNZhNnnHGG+O9//xvwPBUVFeJXv/qVGDJkiG/uo6lTp4pVq1Y12Nc7zP9///tfo56ffPKJGDt2rIiPj/fdWy8FBQXilltuET169BB2u12MHDlS/PWvfxX79u1rl6HCQrT8vgohRFFRkXjsscfEiBEjfPsOHjxYXH/99eL9999v1LEuTc2DJERwr0vv0Pb9+/e36NpeAr3H4uPjRffu3cXEiRPFr371K7Fnz54mz7Fs2TJx2WWXiS5dugir1Sq6desmxo0bJ5566ilx8ODBBr71/+x2uxg+fLh44IEHRGFhYYPzNzfMHxAffPBBg+ei/jxIXhwOh+jZs6fQNE3k5eX5PdbUPEhXX3216NKli0hISBBjx44Vb731VrP3UAghXnvtNV89G5t/SQgh/v73v4vLLrtM9OnTR8THxwubzSb69esnfvjDH4q1a9c2elxjrFy5UkydOlWkpaWJuLg4MWTIEPGrX/3Kbx4dL4E+E7w09V6qTzBD2Bsb5i+EECtWrBDf+973hM1mE5mZmWL27NnixIkTQQ3zP3bsmJg5c6bIysoSqqr67dPSYf510XVdDB8+vMFnU93zNfXn9WzLMP9ABPtZHyxKzYkknQBFUbjwwgtbNT1+LOP9ZVp3VXSJRCKRxDayD5JEIpFIJBJJPSIyQNq5cyeTJ08mMTGRbt268eCDDzY69LEupaWl3HHHHb5FWi+66KIGE1C5XC4efPBBJkyYQGJiYpNDdVevXu3rH9K3b1+effZZ6je4CSGYN2+ebwG9cePG+SbUk0gkEolEEp1EXIBUXFzMpEmTcLlcvP/++zzzzDO89NJL3Hvvvc0eO2vWLD788EOee+453nnnHSwWC5MmTfIbHVRVVcXLL7+M3W5vMBNvXfbs2cOUKVPo3r07H3/8Mffccw+//vWvGwx1fPbZZ3n88cf5xS9+wccff0z37t3Jyclh3759rX8SJBKJRCKRhJc29WAKAc8884xITEwUp06d8m37+9//LjRNE0eOHGn0OG+nt48++si3rbKyUmRnZzdYf8i7+J63w9jJkycbnO+OO+4Qffv29Vvs85FHHhFpaWnC4XAIIYSorq4WKSkpfotqOp1O0bdv34BrAUkkEolEIokOIq4FacmSJVxyySW+uWEAZs6ciWma5ObmNnrcpk2bUBSFyZMn+7YlJCQwfvx4Fi1a5LdvS2bcXbJkCVdccQVxcXG+bT/4wQ8oKSnxTZS3evVqysrKmDlzpm+fuLg4rrrqKhYvXty8rEQikUgkkogk4gKknTt3NpjTIy0tje7duwdc/NGLw+FAVdUGC+rZbDby8/Oprq5ucR0qKys5dOhQg3oMGzYMRVH8FuX0bq/L8OHDOXjwYFDXlEgkEolEEjlE3ESRxcXFvvWh6pKenu5bLDMQgwcPxjAMNm7c6FvV2zRN1q9fjxCCkpKSRicpq493ttD69YiLiyMhIcFXj+LiYmw2m99Ejd66CiEoLi5ucE2n0+m3uKNpmjidTjIzM0O2lpREIpFIJBLPwCrTNLFYLM1OOBtxAVJrycnJYeDAgcyZM4d///vfZGdnM2/ePF9n6UgJPubOneu3FlJiYiJr167l5MmTYayVRCKRSCSxw5AhQ/y60AQi4gKk9PT0gKsWFxcX+/VLqk9cXBwLFixg1qxZjBw5EoCRI0dyzz338Kc//YnMzMwW18HbclS/Hi6Xi6qqKl890tPTcTqdOBwOv1ak4uJiFEUhPT29wbkfeeQRvxF5paWlDB8+nAMHDpCWluZbC0vTNL+yrusoiuIrq6qKqqqNlt1uN5qm+coWiwVFUXxl8CxhULdstVoRQvjKpmliGIav7I26GysbhoEQwlcO5GEYBrqu8+2333L66adjsVg6hVMw98npdLJ9+3bOOOMMhBCdwimY+6TrOlu2bOGMM87w/TvanYK5T4qisGXLFkaMGIHNZgu/k/sU7qOLscR3Q9GsuA2BpeaHtW7iV7ZqiseppmwKgVGnbJpg0RRMU2CKhmXDFOiG4Nt8N6f3t2JRFLSa7QCaqmAYAhRPWTcESp2yqoAaqKyCqii4DYFWp2xRPT+OveWj+ToVVSZJiR4pU3jOLYQIqmwKgahTBs81W1LWTZODpQb90iwIAYri2W6YHiclyLLXo265o53qlg1TNOkkgPwSnb6pGpqqdriToqiUJfZq0XJFERcgDRs2rEFfo9LSUo4dO9bsekNjxowhLy+PPXv2IIRg8ODB3H333YwZM6ZFK0F7SUxMpHfv3g3qkZeXhxDCVw/v//Py8jjjjDN8++3cudM3L1J9bDYbNpvNb1tlZSVWqxVN0/xWbA91uW5/rUBlTdN8z1t7Xl/TNNLT07HZbL7Hot0pmLLNZiMjI8MXHHYGp2DKiqKQmZnpe813Bqe6dW+s7HUyDIOMjAzf6z/sdTdVNIsOGqB6Agxf3bX6ZeFX1gBrnTLesu8cDcuaCunJCjYLNY81vX97llXF86Xn/eL1/N/7hd7ysqYAdcsEV06KU1AQaN6KUBuUBl+u9QmnU0vrawpBUpziCYrC4CTwBkrNZ5UirpP21KlTWb58ud+qwe+88w6qqpKTk9Ps8YqiMHjwYIYMGUJhYSELFizg9ttvb1U9Fi5ciNvt9m1bsGABaWlpnHfeeQCcd955pKSk8M477/j2cbvdvP/++0ybNi3oa8YKmqYxaNAgvw/rWEL6S/+Y9lcVBvWw1gkOYgtVUeiaqKFGSLePjiaa/CMuQJozZw7JyclcccUV5Obm8sorr/DAAw8wZ84cevTo4dvv4osvZtCgQX7HPv300yxYsIDPP/+cv//975x99tmMGTOmwQrDS5Ys4d133+Wbb74BYNGiRbz77rt89913vn0eeOABCgoKmDVrFitWrOCFF17gd7/7Hb/85S99eUu73c4jjzzC/PnzeeGFF1ixYgWzZs3i1KlT3H///SF6hqIfXddZvXo1uq6HuyphQfpL/5j2NwSrv3OiG7G5DKhhCnYX6b60YqwRTf4Rl2JLT0/ns88+46c//SlXXHEFycnJ3HbbbTz99NN++3n7stSluLiY+++/n4KCArp3787s2bN57LHHGuQaf/zjH3PgwAHfv2+55RYAHn/8cZ544gkABg0aRG5uLvfeey/Tpk2jS5cu/OY3v+G+++7zO9dDDz2EEIL58+dz8uRJzjzzTJYuXcqAAQPa6ynpdKiqSs+ePVuUA+6MSH/pH9P+CvTM1IjRBiQUBdLtKlHQgBISoslfEUJEfhjXiSkrKyM1NZXS0lJSUlLCXR2JRBJrOAvg2Idg7wVqxP1mblcO79OpqjRJSIrN4FQCAoXSxN4MHz682TS3fJVIOhxd11m5cmXsphikv/SPZX9DsHKbI6ZTbDtPRUeKKRREk78MkCQdjqqqDBw4MHZTDNJf+seyvwIDe1hjNsWmKtA1UZX+UeDfudtTJRGJtw9GrCL9pX9s+yv0zIzNEXzgGWmdbo+C6CBERJN/bP6EkYQVXddZsWJF7KYYpL/0j2V/Q7Bic2yn2L4tdEdFiikURJO/DJAkHY6qqowYMSJ2UwzSX/rHtD+M6GclRvVRFeiVHLuj+KLJX6bYJB2OqqpkZ2eHuxphQ/pL/5j2VxSy02I7xZZqi4LoIEREk3+MxvCScOJ2u1m6dKnfLOWxhPSX/jHtbwiWbqjGHcMptq0F0ZFiCgXR5C8DJEmHo2kaY8eOjd2lFqS/9I9lfxXGDonzW/MtllAVGJAWHSmmUBBN/jLFJulwVFUlIyMj3NUIG9Jf+se0v6KQkRybwSF4UkxJcVEQHYSIaPKP0RheEk7cbjeffPJJ7KYYpL/0j2V/XfDJumrceuSnWEKBYQo2nYiOFFMoiCZ/GSBJOhyLxcL48eOxWGKzAVP6S/+Y9tdg/AgblhhtRFIVGJZhiYoUUyiIJv/YfIdKwoqiKDG97pz0l/4x758QBd+OIUJRFOKt4a5F+Igmf9mCJOlw3G43CxcujN0Ug/SX/rHsrwsWrontFNuG49GRYgoF0eSvCCEiv5admLKyMlJTUyktLY2ZX5VCCBwOB3a7HUWJvV+S0l/6R5S/swCOfQj2XqCGPqkghMDhAnscHe5/eJ9OVaVJQlL42gaEELhNsKod7x8JhNtfoFCa2Jvhw4c3O5JUtiBJwkKs9r/wIv2lfywTq/2PvGixFxf5ES3+MkCSdDi6rrN48eLYXYtK+kv/WPY3YPF6B7oR7pqEB1PA5gKdKMgwhYRo8pcptjATqyk2XdexWCwx28Qs/aV/xPiHIcWmG55WpFhNsZnCM5orIu5/BxNuf5lik0Q8sfrr2Yv0l/6xTKy2HnmJ0VVWfESLvwyQJB2Oruvk5ubG7JeE9Jf+Me1vQO7G2E6xbTsZHSmmUBBN/jLFFmZiMcUmkUgiiA5OsYWTSEixScKLTLFJIhohBGVlZcRqbC79pX/M+1eZMe1f7RbSPwr8ZYAk6XB0XWfVqlWxm2KQ/tI/lv0NWLXdGdMptp1F0ZFiCgXR5C9TbGFGptgkEklYkSk2SQwhU2ySiMY0TYqKijBNM9xVCQvSX/rHtL8QFJUbmDH621wIQYUrtlOM0eIvAyRJh2MYBuvXr8cwYrONXfpL/5j2N2H9LhdGbMaHmAL2lRhRkWIKBdHkL1NsYUam2CQSSViRKTZJDCFTbJKIxjRNCgoKYjfFIP2lfyz7C0FBSWyn2Eqd0ZFiCgXR5C8DJEmHY5om27dvj90vCOkv/WPaH7bnu4lRfUwBh8ujI8UUCqLJX6bYwoxMsUkkkrAiU2ySGEKm2CQRjWmaHDlyJIZ/QUt/6R/L/oIjpwzMaGhCCAFCCIod0ZFiCgXR5C8DJEmHY5ome/fujeEvCOkv/WPYX8Deo+6oSLGEAlPAiUpT+keBv0yxhRmZYpNIJGFFptgkMYRMsUkiGtM0OXDgQOz+gpb+0j+m/QUHTugxm2IzhaCwyozZUXzR5C8DJEmHI/tgSH/pH8P+Ak8fpMj/fgwJQlDTByfcNQkP0eQvU2xhRqbYJBJJWJEpNkkMIVNskojGMAz27NkTu0stSH/pH8v+pmDPUTdGjDYhmUJwojJ2J8qMJn8ZIEk6HCEExcXFUTHMMxRIf+kf2/5QXB4dKZZQUeGKYXmix1+m2MKMTLFJJJKwIlNskhhCptgkEY1hGOzcuTN2UwzSX/rHsr8p2HkotlNsR8ujI8UUCqLJXwZIkrBQXV0d7iqEFekv/WMWAdUuAZH//RgyXDEaHHqJFn+ZYgszMsUmkUjCikyxSWIImWKTRDSGYbB9+/bYTTFIf+kfy/6mYHu+K6ZTbIfKoiPFFAqiyV8GSBKJRCKRSCT1kCm2MCNTbBKJJKzIFJskhpApNklEYxgGmzZtit0Ug/SX/jHtL9i014VhxOZvc1MI8kv1qEgxhYJo8pcBkiQsxMfHh7sKYUX6S/+YRYH4OAWUcFckfMSpMSxP9PjLFFuYkSk2iUQSVmSKTRJDyBSbJKLRdZ3169ej63q4qxIWpL/0j2l/Q7A+z4kewym2vcXRkWIKBdHkLwMkSYejKArp6ekoSnQ0s7Y30l/6x7Y/pCerxKg+AElxMSxP9Ph37vZUSUSiaRqDBg0KdzXChvSX/jHtryoM6mENdzXChqoodE1sOrXTmYkmf9mCJOlwdF1n9erVsZtikP7SP5b9DcHq72I3xWaYgt1FesxOlBlN/jJAknQ4qqrSs2dPVDU2X37SX/rHtL8CPTM1omQgU7ujKJBuj90UYzT5yxSbpMNRVZW+ffuGuxphQ/pL/9j2V+jbNXa/elRFISshCqKDEBFN/rH5E0YSVnRdZ+XKlbGbYpD+0j+W/Q3Bym2OmE6x7TwVHSmmUBBN/jJAknQ4qqoycODA2E0xSH/pH8v+CgzsYY3ZFJuqQNdEVfpHgX/stnNKwoa3D0asIv2lf2z7K/TMjI5RTKFAURTS7VEQHYSIaPKPzZ8wkrCi6zorVqyI3RSD9Jf+sexvCFZsju0U27eF7qhIMYWCaPKXAZKkw1FVlREjRsRuikH6S/+Y9ocR/azEqD6qAr2SY3cUXzT5yxSbpMNRVZXs7OxwVyNsSH/pH9P+ikJ2Wmyn2FJtURAdhIho8o/RGF4STtxuN0uXLsXtdoe7KmFB+kv/mPY3BEs3VOOO4RTb1oLoSDGFgmjylwGSpMPRNI2xY8c2u5JyZ0X6S/+Y9ldh7JA4tBj99lEVGJAWHSmmUBBN/jLFJulwVFUlIyMj3NUIG9Jf+se0v6KQkRybwSF4UkzRslhrKIgm/xiN4SXhxO1288knn8RuikH6S/9Y9tcFn6yrxq1HfoolFBimYNOJ6EgxhYJo8pcBkqTDsVgsjB8/HoslNhswpb/0j2l/DcaPsGGJ0UYkVYFhGZaoSDGFgmjyj813qCSsKIpCSkpKuKsRNqS/9I95/yhZiysUKIpCvDXctQgf0eQvW5AkHY7b7WbhwoWxm2KQ/tI/lv11wcI1sZ1i23A8OlJMoSCa/CMyQNq5cyeTJ08mMTGRbt268eCDD+JyuZo9rrS0lDvuuIOsrCwSEhK46KKL2Lx5c8D9br31VjIyMkhOTuaaa67h2LFjfvv069cPRVEC/q1du7bZ/RwOR5ufh86KxWIhJycndlMM0l/6x7K/Bjln2WM6xTayS3SkmEJBNPlH3Du0uLiYSZMmMXjwYN5//32OHDnCvffeS1VVFX/5y1+aPHbWrFl88803PPfcc3Tt2pU//OEPTJo0iS1bttC7d2/fftdddx3ffvstL774Ina7nV/+8pdMnTqVb775xveh9cEHH+B0Ov3O/9BDD7Fjxw7OPvtsv+3XXHMN9913n982m83Wlqeh0xOrXw5epL/0j2ViNTjyokVBcBBKosU/4t6lL774ImVlZXzwwQe+obC6rnPXXXfx6KOP0qNHj4DHrV27liVLlvDRRx9x2WWXATBx4kT69+/P/PnzeeGFFwBYs2YNS5cuZenSpeTk5AAwdOhQhg8fzvvvv8/MmTMBGD16tN/5Kysr2bBhAzfddFODD7euXbty7rnntt+T0MnRdZ3Fixczbdo0rNYoSUa3I9Jf+se0vwGL1zuYNtaONeK+gUKPKWBzgc6Z2ZaoCRTak2jyj7gU25IlS7jkkkv85gmZOXMmpmmSm5vb6HGbNm1CURQmT57s25aQkMD48eNZtGiR3/nT0tL89hs6dChnnnkmixcvbvT8CxcupLKykhtuuKG1apIaLBYL06ZNi9lf0dJf+se0vwbTxsZ2iu3M7OhIMYWCaPKPuABp586dDBs2zG9bWloa3bt3Z+fOnY0e53A4UFW1wYeOzWYjPz+f6upq3/mHDh2KovjfneHDhzd5/v/+97/069eP8847r8Fjb7zxBjabjaSkJKZNm8a2bdua9Yx1YnUlcy/SX/rHMroR7hqElxhdZcVHtPhHXIBUXFxMWlpag+3p6ekUFRU1etzgwYMxDIONGzf6tpmmyfr16xFCUFJS0urznzp1itzcXGbNmtXgscsvv5y//OUvLF++nL/+9a/s2bOHCy64gH379gU8l9PppKyszO8PwDAM3/8DlXVd9yubptlk2e12+5WFEH5lIUSDMuBXNk3Tr+z9UG+sbBiGX7kxJ6fTSW5uLk6ns9M4BXOfHA4Hubm56LreaZyCuU9ut5vc3Fy/f0e7UzD3Sdd1cnNzfQM5IsLJUGqddFHrUa/sc6opm0L41lQzhUD3ls3AZcMUOF2C3I0OnG6BUWe7d1STYdSW9Xpls7Gyt+51yzV1r+9kiDpls9YpmLJZr+y9ZkvKuinYdlLHFB5v73bDrK1vMGVvvcLpVLfcnJMpYNtJvfZ+h8GppURcgNRacnJyGDhwIHPmzGH79u0UFBRw//33+wKV+i1GwfD222/jdru5/vrrGzz2pz/9iRtuuIHx48dz00038cUXXwAwf/78gOeaO3cuqampvj9v5/Ht27cDsGPHDnbs2AHA1q1b2b17N+BJIe7fvx+AdevWcejQIQBWr17tG4G3cuVKCgsLAVixYoUvKMzNzaW8vByAxYsX43A4fP0gdF3H4XD40ovl5eW+VGZJSQkrVqwAoLCwkJUrVwJw7NgxVq9eDcChQ4dYt24dAPv372fTpk0A7N69m61btwZ0ys/PZ8aMGWzbtq3TOAVzn9asWcO4ceOwWq2dximY++R9L3pHe3YGp2Duk9VqZdy4caxZsyZynL7LotzTyM7i9Q4crtq+QroBDpenDFBe7QlwAEoqTFZs9pQLS01WbvMMbDlWbLL6O0/50EmDdXmeUcj7j+tsy3czY1w8+ScMtuZ7gscdB93sOOgpb813s/uIJzDctMfF/uOe8ro8F4dOegLA1d85OVbsCe5WbnNSWOopr9jsoKTCU87d6KC8Wvg5mQJ2VZqYAtympy8MgEOHrSc95Uq34NtCT7nMJdhZ5CmXOAW7iz3XL6oW7CvxlE9WmeyvKR+vMDlY5ikfKTc5Uu6py8Eyg+MV3rJJr2QVTVXYV2JQVFPH3cUGJU5PeWeRTpnLU/62UKfS7SlvPanjqGl83Fyg4zZr+/SE02l/icHJKk+5OSdNVbCq4KhpRQyHU0tRhAgypAox2dnZ3HrrrcydO9dve8+ePZk9ezbz5s1r9NgNGzYwa9Ys3wfGyJEjycnJ4U9/+hOVlZVYrVZmzpzJoUOHfB9OXm644Qb27t3rN4Tfy/jx4ykrK2PLli0tcpg+fTqFhYV8/fXXDR5zOp1+o+PKysro3bs3RUVFpKen+34BaprmV9Z1HUVRfGVVVVFVtdGy2+1G0zRf2WKxoCiKrwyeX5N1y1arFSGEr2yaJoZh+MqmaWKxWBotG4aBEMJXDuTh3aeqqor4+HhUVe0UTsHcJ7fbTWVlJampqei63imcgrlP3hbdtLQ0FEXpFE7B3CeLxUJpaSmJiYlN+nWYk7sQ9+GFWBJ6oGhW3Lrw9Q/SDfzKVounpclb9vxCB6vmKZsmWDQF0/S0FNQvG6an5afaBQk2UFDQarYDaKriaVVSPGXdECh1yqoCaqCy6lnjzW0ING+5xkOpUz68T6ei0iQpydM2YArPub0tGy0tm0Ig6pTBc82WlA3TxKFDglXBFKAo3u0eJyXIstejbrmjnfz9RJNO4AluEiyedQk72klRVEoTezN8+PBmF4yOuBakYcOGNegLVFpayrFjxxr0TarPmDFjyMvLY9euXeTl5bFlyxaqq6sZM2aMb7TIsGHDyMvLo35cGKjvE8DBgwf56quvArYetQabzUZKSorfH+C7UZqmBSxbLBa/sqqqTZatVqtf2fur3VtWFKVBGfArq6rqV/Z++DdW1jTNr9yYkxCCVatW+XlHu1Mw9wngq6++8n1xdganYO6TYRisWbMGwzA6jVMw90nXdb766ivfayEinDRR62Spnc+tftnnVFNWFQWrVlu2eMtq4LKmKoDCqu1OhPAER97tWs23oabVli31ympjZW/d65Zr6l7fSaszX5333MGW1Xpl7zVbUgaFXcWG70vcu11Ta+sbTNlbr3A61S0352QKT8uSIHxOLSXiAqSpU6eyfPlyX9MvwDvvvIOqqr5h+U2hKAqDBw9myJAhFBYWsmDBAm6//Xa/8xcXF/PZZ5/5tu3atYtNmzYxbdq0Bud78803AQL2PwrE0aNH+fLLLxk7dmyL9o9FrFYr06dPj8khziD9pX+M+1sUpp8T7wuyYg1NVRjd1er74o41osk/4lJsxcXFnH766QwZMoRHH33UN1HkDTfc4DdR5MUXX8yBAwfYs2ePb9vTTz/NoEGD6Nq1K3l5eTzzzDMMGzaMJUuW+P16v/TSS/nuu+94/vnnfRNFqqrqN1GklzPOOIOUlBRfi0dd3nzzTT7++GOmTZtGjx492LdvH3PnzqWoqIgNGzbQv3//Zn3LyspITU2ltLQ0ZtZnMk3Tl2Kpe19iBekv/SPK31kAxz4Eey9QQz/1gCkEJRUmaUlq0L/o28rhfTpVlSYJSeF73oUQVLoFidbalpNYItz+AiV6U2zp6el89tlnWCwWrrjiCh5++GFuu+02fv/73/vtV3eEh5fi4mLuv/9+pkyZwty5c5k9ezYLFy5s8CG0YMECJk+ezB133MH111/P4MGDWbx4cYPg6LvvvmPr1q2Nptf69+/P0aNHueeee8jJyeHhhx9mzJgxrFmzpkXBUaxiGAbr16/39Z+INaS/9I9pfxPW73JhmOGuSXgwhacjcxQsRRYSosk/4lqQYo1YbEGSSCQRRAe3IIWTSGhBkoSXqG5BknR+TNOkoKDANwdLrCH9pX9M+wtBQYkR9Jw0nQUhBKVOs8FAoVghmvxlgCTpcEzTZPv27bH7BSH9pX9M+8P2fDcxqo8p4HB5dKSYQkE0+csUW5iRKTaJRBJWZIpNEkPIFJskojFNkyNHjsTwL2jpL/1j2V9w5JThWyok1hBCUOyIjhRTKIgmfxkgSToc0zTZu3dvDH9BSH/pH8P+AvYedUdFiiUUmAJO1Cx3EotEk79MsYUZmWKTSCRhRabYJDGETLFJIhrTNDlw4EDs/oKW/tI/pv0FB07oMZtiM4WgsMqM2VF80eQvAyRJhyP7YEh/6R/D/gJPH6TI/34MCUJQ0wcn3DUJD9HkL1NsYUam2CQSSViRKTZJDBFMiq1zvxskEYlhGOzfv5/+/fs3+wLtjEj/zuPvqBIcP6wTzK9M0zQ4VXyAzPS+qGr4/VXdTUK5gWHRoQOWxjKF4ESFSdcwrMXmdoe/PcAUgpNVJl0SOt4/EogmfxkgSTocIQTFxcX069cv3FUJC9K/8/hXVwmOHjDQgliZXgiTkupizOreEbFYqcU0SXcLXKoJSujTfqYQFLlMbE7C8gVpTwj/c17hEnRJCHctwke0+MsUW5iRKTaJJHopLjTZucVNZnb0pmw0o4DEyo/QtZ6gyN/Mks6NTLFJIhrDMNi9ezeDBw+O+hRLa4hl/+pKQVmJm8NH99Crx6CISDG1hdIiEXRnU1MYnCreS2b6QFQluv1bgykExytMuoUhxRYJSP/o8ZcBkiQsVFdXh7sKYSVW/UtOmez+1k21WY2zVEdRorwBW4AliPSa9xi34QBBh/T5iURcsTqErQbpHx3+MkCSdDiapjF69OhwVyNsxLK/EGCNs9Ate1S4qxI2VFWjR5cY9lcU+qXG7leP9I8e/+iopaRTYRgGO3bsaFEOuDMSTn+nQ+ByhO/XW1WFQJgGJ07tpEv60KhPsbUG0zQ4WZwXu/5CcKTcpGdy5KdYQoH0jx5/GSBJJDHEkf06J4+Fd4JCzQJGWGsgkUgkzSMDJEmHo2kaI0aMCHc1wkY4/Q0DFBVS0sP3y01VrcBpYbt+uFFVja6ZMeyvKPROib2WMy/SP3r8ZYAk6XAMw2Dr1q2MGjUqZlNs4fIXwhMgqWr4AiTTNDh+6lu6ZZ7efIpJGCjC3TEV6yBM0+B40S66ZQyJiBSbIhwdej1TCA6WGfRJ0SI+xRIKpH/0+MsASRIW4uPjw12FsBLT/gpYNXuLRnDFO77Aoh8PfZ06EFNAgmknqWoHYYxT/VBNB2gdV5m4SBEPE9I/OvxlgCTpcDRNY9iwYeGuRtgIt3+4P5pURaNLxpCW7WuUopolGFrXENeq41AU6JkkAFtQS5SEErelN3TQnEyqotAjOfwtZ+FC+kePvwyQJB2Oruts2rSJ0aNHY7HE3kswnP6RMG++aRocPbmFHl3OaEGKScVUUzHVzjPLvCkE+0sM+qdFfoohFATyNwyFEyeSgz5XZmYlNpuny39lZRylpXbsdjcZGbXzjB09GvxrJz29ivh4HYDqagvFxQnExelkZVX59jl+PAnTDG4G9dRUB/EJTvaXGPSIj6O4KAmLxSQ7u8K3T0FBIroeXACRlOwkJdkJgNutcvJkEqoq6Nat3LdPYWECLldwnzcJiS7SUj0p2Lr3qHv3Mrwv3aKieBwOa4vPaQrBKbeTkX2dvvvvvUddu5ajaZ4PqZJSO1WVcUHVt7F71KVLBVarZ3BKWYUNElt2vtj7dpKEHUVRSE9Pj4h1qEKBaQryd+m4HARsrjGFgbs6hV3bddQOnihRrzxJinsjCVXhG8lmCkGqCgnVx5sNEFRRSfjbvNqfpLjO5xQM9f1dLo0PPhwZ9HlmXL6dXr1KAdi/P4MvVg5k4IBCLr00z7fPBx+OINjXUM7kPAYPLgTgyNFUli4dRvfupVx15XbfPouXDKe6Orgv8PHj9zJixDGS4hROnUpk4cKRpKdVcf31m3z7fLZiMEVFLfwGr+Hssw/xvXMOAlBebuODD0dit7u59ZZ1vn2+/Ko/R46kBXXe008/xkUX7gP879FdP/7Kt8/69X3YszcrqPP27HuSkX0b3qMf3byOhARPn8OtW3qwbXv3oM7b2D36wXWbyMz0BE57dnVhYAsbpGWAJOlwNE1j0KBB4a5GyDB0zxIUVRUmtvhAH8wKcUo/qsoBOjZQiTPKSNF2IfTUDr1uXTSgh40Wj/U3tOA+fCMdVVHomhgdKYZQEMhfUQRpacHPLm+x1L6I4uJ00tKqSUh0+e3jOW9wAZI1rva8VqtBWlo1SUn+501Ncfhar1qKLc7w+Z+o8Dgnpzj99klOdgbdMmW31Q5k0DTPeePidL99khJdQT/HCfG1523sHiW04rwZKW6/H0fee1R3Zv34eHfQ523sHmla7eesze4GWhbYysVqw0wsLlar6zrr1q3jnHPO6ZQpNrdLsP0bN5oF7AECJNPUOXxiI726noWqdqy/xb2fxKqluK0DO/S6dTFMwb4SgwFpGlqUdNZsT6S/x7+LlsCiRSOJi9O5buaWcFerw5D3P7z+crFaSUSjqio9e/ZEVaN3BfS2oCgqyYndUZRY9Yd0u0onzbA2i/T3+BsOlbIye4OWjs6OvP/R4y8DJEmHo6oqffv2DXc1Qk5j739FUUlP6d2hdYkkVEUhKyEKPh1DhPT3+OtxLq6+aktn7GLWJPL+R49/bP6ElYQVXddZuXIluh5bvxy9mKZO/pHVmGbH+ysRMLDcMAU7T+kYUbKid3sj/T3+imrQrVsF3bpWNH9QJ0Le/+jxlwGSpMNRVZWBAwd22hSbEE0Pp1cUlYzU/jGbYlMV6JqoRswkiR2N9Jf+0j86/GWKTdLhePsgxSqKopKSFNzw1c6Eoiik26Pg0zFESH+Pf1WVlbxdXbDF6Zx2WkG4q9VhyPsfPf6x+RNWElZ0XWfFihUxnWLbe2hlWFJsHsL74WSYgm8L3VHRxB4KpL/Hv7QsjtWr+7P+m9jqjyfvf/T4tzpAOnr0aHvWQxJDqKrKiBEjOm2KzUcjcYiiqHTNHB7GFFt4P5hUBXola1HRxB4KpL/HH+F5Ajr7x0B95P2PHv9WvzT79evHjBkz+PjjjzHN8M3KK4k+VFUlOzu7cwdIzfRBSkroEqYAKfy/2hRFIdWmdtqZ1JtD+nv8vb8glA6eTT7cyPsfPf6t/oQ+99xzWbRoETNmzKBPnz78+te/Jj8/vx2rJumsuN1uli5ditvtbn7nTohh6uw+sAIjbCm28GKYgq0F0dHEHgqkv8dfr5mEOtYCJHn/o8e/TTNp79q1i5dffpnXX3+dgoICVFXlkksu4fbbb2fGjBmdcpbk9iYWZ9I2TZOSkhLS0tI6ZSuSyynYvt6N1Qa2AJ0RhTCpdpYSb0vt8FYkq3svCVXLwjqTthCCSrcg0aoE/BUphGf9K11X6de32Lf9wIG0oBfbzMio8q3B5HRqHDyYTrJlJ/27fevbp6goAZcruKU/EhLcpKR4FvE0TYWCgiQAunYr92VWS0ricTga1lcI0E2wqDSYLM9m10mvs7zC8eOexUGzsytQVc9HdVmZjaqq4NYAs8YZZGbULuJZUJCEaSpkZVVisXgyABUVNioqgjuvZjHpklXp+3dhYSK6rpKRUUVczXIdVVVWysrsvn28/s7qOPbtzyIx0cn55+UHdd1oRiBw6mCzgBJrk0ARfn9TsXIi8wctmkm7XZYa0XWdhQsX8o9//INly5YhhCArK4ubb76ZW2+9lSFDhrT1Ep2WWAyQOoqCPXuoOryecKSV3E6BLV7BYo28D0DNOIHbGrnvyYMH01j08ekkJzu4cfYG3/Y33zqzFYt4HuR75xwCPKuOL/qgJ49MPQ1VDW4NLYlE0jkwlER2DFjbcUuNWCwWrr76aq6++moOHz7Mv/71L/7v//6P+fPnM3/+fCZMmMCPf/xjrr322qjIO0pCi9vtJjc3l5ycHKxWa8iuo1dXYZTlo4ZhSL3VqmDRQBENX++GCZuKUhidUYYWhgY0XevR8Retg2EKtp7UGdXFEnAtJqvVYODAQvbvz/Dbnp1dQXx8cGnZlDoLgVosJgP77EZVDQQWnHGnAVBaascdZAuSPd7tWxhTmAqnTiUAkJVV6eucX1Zmw+UM0IIEGAI0pWE//jib7lfnwpOegDAjs8rXglRREYejOrj3jdVqklqnZaroVAKmqZCeXo1W04JUVWkNumVKs5ikp9eet7g4HkNXSU11+BZ8dVRb/Vqm/PwVSEx0BX1foxoBFW5BkjXACyAWCLO/qcS3eN92XazWNE0WLVrEP/7xD5YsWYJpmvTp04ejR49iGAann3467733HoMHD26vS0Y9sdiCJISgvLyc5OTkkAbMR7dtxXnkc6zpg0J2jdYghMChg91CTP5gCKe/1b2brqfuQVe7cDz71Q69thd5/6W/9A+ffzCL1bbL79d9+/bx6KOP0rt3b6666ipyc3O5+uqr+eyzz8jPz+fgwYPcf//97Ny5kx//+MftcUlJFKMoCikpKSF/c5hE5uhKRVGIb6T/TSwQTn9FeHsGh6/vm7z/0l/6R4d/qz8l3G43b731FhdffDFDhgxh3rx52O12nnnmGQ4dOsSCBQuYOHEiAN26dePZZ5/l1ltvZc2aNe1WeUl04na7WbhwYQyPYhNsOB4dozhCQXP+uq7icmkYRig+QL1Bc/gCJHn/pb/0jw7/VvdB6tGjB0VFRWiaxowZM7jzzjvJyclp8pi+fftSXV3d5D6Szo/FYiEnJyf0oxxNiIR5f+qjKjCyiyUqJkoLBc35b97cg6/X9eW04ceZOHFvO1/dEyCJMAZI8v5Lf+kfHf6t/oZKSEjg5z//Obfeeivdu7esE+xdd93FrFmzWntJSSci2ODI7RKUFplBhTsuZ+QOo9UioFqVlXG88+4oVFX4jRb77LNBHDqcFtS5Bgw4xYTx+wEwDIXX/zMGgOtnbfIN9/7qq37s3pMFeIZ6N9bC7h3Kr2rtH9zWptiC65Td3kTC/Q8n0j/cNQgv0eLf6gApPz8/6BxiSkpKzHREljSOrussXryYadOmtXgUW2W5YN8OnWAmbbcbJpmhGyTXakwBmwt0zsy2hPWDQgiorLShqv5PqsNppbLSFtS5nPXm+wl0vNNlCeq8deftaT/C34IUKfc/XEh/6R8t/q0exVZaWsqBAwcYNGgQCQkJDR6vrKxk79699OvXTwZFTRCro9h0XcdisbQ4yC45ZbJzk5uMri3/YotzbSe++suwTooYCCEEpvA0NXd0R8WqKivffdcVe7yb4cMKKCpOQEGQlVUbjJSW2nC5g/vtZLPppCR7hqcLAYWnPMPTMzMqfWttlZfH4XBaoY5/Y81IVotBWpojeMHm6uncQJfiX+OyDKAg68/tfv6WEM77HwlIf+kfTv9gRrG1ugXpySef5KWXXmp00VrDMDj//PO56667ePbZZ1t7GUknxRsggSd95qhuOk4vL2mYXlPMclSz8VYGzTjV1mqGDMMbIACmCWvW9KO8PHDrSt9+xQwfVgBAdbWFL74YiKoKcnJ2+fbZsLEnJ2tmc24Kp8vC4cNpJCU5GXH6Cb9ZkL2kpjoBZ8ODW4iiEPC8ycku0hIOk1L+BsKsqvFv5ANSAMWBH2oLmuk9aXhncK97/2ORSPE3hcDd+pd6qxBCoAuwKI2nmTsz4fYXCtDC+WZbHSB9+umnTJ48meTk5ICPp6SkMGXKFBYvXiwDJIkfuq6Tm5vrS7EdO2Rw7GDzMxuLeum1eMdaLHp+M0eFt69JIEwB207WNjEfP57C5i09G90/Kbn2E1zXVfbuy0LT/J+M48dTyM/PqH9o4+dM6uBvhRoSq5aS6FgelmvXxdDSwnbt+vc/1ogkf0eV52dXoAlLQ4UpIK/MYHiKFoGfTqEnmvxbHSAdPHiQ73//+03uM3DgQJYtW9baS0g6KVarlRkzZvj+LQxPK0p6VtMfUvV/bSjCCVjRtW5NHBV5a71pqsKYbrWdo9xuTx2TkpyMOetwg/0zM2tbY2x2nQsn7G2wwOfppx+nb58WNrkogj59SoKveDugCI9LddzZOOznhKUOoFJtC9e1G97/WCPS/G12lV4DOvareiCR4x8OwulvmAq7ilq2b6sDJEVRcDqb/hXqdDoxDLnmkcSfQDNpqwqogX7FCYGCq86/6z7mRmAJ+4ikYKk/k6xhegKkxEQnI0Ycb/LYOKsZcJ+6i7q2Bc0oIN6xGkI0yWac25MWrNROozp+Wsz2wZAzKUeOv6J2bAuSEILyakFyfHRMltjehN+/5ddsdYA0bNgwPv30U4QQASVN02TJkiUMHTq0tZeQdFJ0XWfVqlW+tdhMRKOv2TjXdmyubQEfU4QToQS3dlQkYArYWVSzFpkCZs2EiFoIhrUHS3rpX7C7NjS/Yxs5Wm0nNTl6hvu2J/Xvf6wR6/66Aau2O8k5y441xFPBRSLR5N/q6s2aNYv77ruPW265hT/+8Y+kpqb6HistLeXnP/85e/bsYf78+e1SUUnnwWq1Mn369BbtqwgnFv0obmu/Bo8JxYapBLe6eySgqQqju9Y2MZtmTSuaGv4ASTU9bc+OuDMx1PSQXMNUU8hMmoSIhF66YaD+/Y81Is2/o1+FVovC9HNavmBqZyOa/FsdIN1999289957vPbaayxcuJCxY8fSs2dPjhw5wvr16ykpKWHChAncfffd7VlfSSfANE1KSkpIS0tDVZvrI2RiqimYamoz+zVNRUVco6PEvNjtut/K5MePJyOEZxV5b+tOWZmNysrmW600yojnAOBZRT41tXbIelFRPA4duqQ7sFoFSUo6fTJK6JZcRpwrvxV27YdqlgNQlnQDrprV7tsbIQSVbkGiNXDrc2en1j92UywR4x+G3ySmEJRUmKQlqajh9g8D0eTf6gDJarWyfPlyHnvsMV5++WW/ztgpKSk88MADPPnkky2eCFASvTiqBIf2NT6Jo2oUY3duADz90QxT8N0pk9MyVU/u3y1IdQviqxoGS6pZhWjjb7zKyjhe/88YTLPpYKx//1NMm7rT9+8PPhyBaarcdON6kpI8/aC2bO3B1q09mjyPqrh5aOoIUuwnPBsMoE6nwGzwvPPKa/6dDOdcVPNgCzsPhhqhBDdRZDCYAvaVGJye1XyKpbrK9AzDjuzP0aAwheCA06SvLfK/IEJBSP2FiV14ZnRvyeeGagri4lSo7Lh+jIahsH5XVyYNORGS2eIjnbD7Cw1o2eofbcoA2u125s+fz7PPPsvOnTspLS0lLS2NoUOHNjsBk6Tz4HQITp0w0ayBv8esZhlxrjxMpXZC0eF2EJWg1/w7ya6g6YE/0Awtu031KymxY5oqqmo2Obw9Id5/8dzUFAeGqaDUSX3F292kpDS9nmBC3ElfcFRc1Q9VM0lMqD13RUUcQigkJLh8LVMul4aiCKzW0HSODga3pTduS7+QnV9TFUZlt+yHk+6G5DSVlPTOFUj0DncFwkzI/IWJ6rJhJIzAtHZp0SE2mwJJHTfa1QpMaWrgbScn7P6mgIMtm+akXbpIaZrG6aef3h6nkkQxqemBP2QsuoK9UsNt7QV4mtjLXIKUOP8m9lCNd3S7PcF6VmYl1167tcXHXX/9pgbbzj77MGef3XAofl00/TgUgomNygF/BXyNRQCIrMD+sUJj978xbPEKqemd5weXKQSFpSZZqbHbghQyf9MAhwbdh4KtZQFSR2OaJoWFhWRlZbWgi0HnI+z+hgHsaNGuEd6HXBLJVJablBULKspM6i9YY3XtQhGefjcW4wR1k/2mgMPlBsMy2n8Uy8GDaXy6dBg3XL+RxERPWmz16n6eerSxdUbTj5FddD+aWdKi/RtLU4XSP5JobIZ0UwgOOk36tCDF4mz/1UbCjmnC9nw3E0baUCMx7nOXgit0s9CbhsL2fZlMGHSq/VMspgu0BCI5J2uaJtu3b2fChAkxGyBFi3+bAqTy8nL+8pe/sHz5co4ePRpwXiRFUdi7d29bLiOJUMqKBbu3u7HGKVjqZkyEjs25Gauej6l6ZloXSu2oBU1VOD0rNH3TDh5Kw+3W2L07izPP9CyD07tPCcUlCfTsWdqmc9vcO1ocHAE440YG3B5K/0jC6RAkJKnEJzT8sgrmt31iUuR+2bUGi6Yw6Ux7uKvROK5TEN8bbFkhOb0FmJQJIUu0KVawBF7hIRKwWCxMmjQp3NUIG9Hk3+oA6eTJk5x33nns3buXlJQU36KrLpeL6mpPH40ePXrITtqdnDibQkZ2oF8BArelL6bWcPkLIQQlTkGarf1TTL16lmKaCmlptf2Evve9A4w9+yB2exuTeMLTY8oRN5qitAea3d1UAi8+HEr/SMNmg+we/s0kpik4VmzSPV0NPDloJycq/G1ZkP69kJzaNE2OHTtG9+7dI74FIRRI/+jxb3WA9MQTT7B3717+/e9/c8MNN6BpGr/4xS/49a9/zfr16/npT3+KxWIhNze3PesrCSMup6CqorZJvLy04QKytQgaW+bDFHCi0iQlTgsqxXT8eBJrv+6Lrgc+b2ZmFRMv2ku/fv6zSsdZTdpjZnulppeUUOxtmnagtf7tge4WuN0dM3LE6SBgpsMUsPeom65ptghcCCb0RId/6F6Ypmmyd+9eunbtGvFfkKFA+kePf6sDpMWLF3PxxRfzwx/+sMFjY8eOZcmSJYwcOZLf/OY3crHaTkLRSZP8PN0XFAlTYI0L9EHa9BewpioMywz+pfftt904ciSt0cdD/mO8pgVJtHFpk9b6twdVFQJ7otIhK6knp0GcveGFLJrChJERnGIKMZHvLwhlgGSxWJgwYULIzh/pSP/o8W/1p/SxY8e49tprff/WNM2XWgNIT09n6tSpvP322zJA6iQIE4SAzK5ti/pNISiqFmTEK0GNYnG5PC/XEacfC7jYqs3ubrCtPVF8kxK0LbhprX97oCiQnqmSnhW+3sGmKTh00qB3Fy1yU0whRPqbHDp0iN69e0d8C0IokP7R49/qT/rU1FTc7tovpPT0dA4f9h/+nJKSwokTJ1pfO0nYME2Bq94IIqdDUP/7XDGrUKgXmAg3CqLRidqEgGKHSbpda/BD9et1vXG7NUafedQ3Cu3gwTQOHkrjZKFnWZFu3crp3z/4GRVVo4SkqkW+0XXBEufe7ak/bQsuvP7JVrWNZwoeXafBPexoTAFHThn0zNIiK8VkOH2thKHENOBIoULPNBGZo9iMKkKdYjty5Ag9e/aM+C/IUCD9o8e/1QHSgAEDyM/P9/179OjRLFu2jFOnTpGZmUl1dTWLFi2iT58+7VFPSQdTdNLk4B4D0/RPl/l9uQoXCdW5aGbD0WGKWYWudQ14bk1VGJwR+KX33XfdqKqKY9jQAl+AdKIgiS1bevr2iY9vXUtRUtUiUirfatWxdTHVpDYdr6kKA1I1KsoE1g5eazc+UQl7gGTRFM47LXQzdbcKYULVXrCGZv25uliA8wbiyWSFPh4LnrgsUEKXArZYLJx33nkhO3+kI/2jx7/V74KcnBz+8Ic/UFVVRUJCAnfeeSfXXHMNZ5xxBuPGjWPjxo3k5+fz9NNPt2d9JR2EaUBluSCji/+3qVbnFaMIHdWsQGDBVOoFDVoGQg3cz8IUgpNVJl0SVEqKE9izJ4vUNAdDh5xk5MhjuF2aXxDUvVs5Z432tE4mJrro1aukVU6qWQaA03o6zlauMyaUOCrjL23VsV5MISioMkm2Qs++lkb6cYUOS5gHlhqmYP9xnf7dLJ6lZiIBYXrmz8k4H2yBA/v2wjBM9h84TP++vdC0CP0FbUlofp9WYhgG+/fvp3///jG54oL0jx7/VgdIc+bM4bTTTvMFSFdddRW/+93v+O1vf8t7771HfHw89957Lw880PxwaElkYrXQoi9vU4lHqM1/oFZWWTl2LAUhBAWVJmWJKieOp7Jlaw969ixh6JCTnD2m4SzVvXqV0qtXy+cw0owC4tx5DbZbjEMAOGxjKU+6tsHjHUmlW5Acp2CNU4izRUiQ0EEIAcXlJv1CG4e0DmsKWEM7h45QdIrLquhnSQRL7M3VK4SguLiYfv36hbsqYUH6R4+/IkT9OZDbhmEYFBYWkp2d3enneGkPvPNHlZaWkpISeN6cjsLlFOz5TkevGQZeWSYCdsi2uvcQ59wCCDSzBEPNQqiJzZ7/7XfO4OTJwOmp+gvFthoh6H7yJjSz8ZmAi1N+TGXC99t+LaCiTGAaIvguG8KzhEbvgRbiOrgFKWqpyMMzdUQoni8B1lTIvjRkEyRKJJLwYxgGO3bsYPjw4c22YLX658stt9zCyJEj+cUvfuG3XdM0unaNxJ+GkuZwuwWVpSaooGmQnBb4i0gxK4lz70W39MJUkhBKy5rjy8o8Kbfs7HIMDOI0T38YVRWcMepoO1novuDIaR0O9bpBG2oK1bb2y38LQ5CWqQW1mKppCvILDXpnq8TiPKqGKdh9RGdwzyBSbEJ4+sWkngXxPUJUMw3iGk5s2t4YhsHu3bsZPHhwxKcYQoH0l/7R4t/qAOm///1vg+BIEuXUtCUmJStolsa/uBQEppqCoTVcMKKqyoppKsTHu2tXqneruJwW3G5Pa9SUKTsoMqvpk6K1eZi7apaCqO2vpIoqX/lkxlzPsgMhRCiQkARJKS3vS2IYAuOUQUKiGputrAKqXaK56bIaHgSeJTBCFiB1HHWnRIlFpL/0jwZa3UNw4MCBHDt2rD3r4mPnzp1MnjyZxMREunXrxoMPPojL5Wr2uNLSUu644w6ysrJISEjgoosuYvPmzQH3u/XWW8nIyCA5OZlrrrmmgcsTTzyBoigN/l588UW//YQQzJs3jz59+hAfH8+4ceNYu3Ztm/w7ilMnDA7s0n1/h/YamE3MERfn/A67Yw2a3vh9X/jR6bz277EcO1abLtyVl81r/x6LaXpebrY4k36pljYHR0kV79Kj4Hp6nLzJ99et8McANVMM1Mb/LpegrNhs9z/TaPz5agxNUxg9MA6tM69UC+A4BhV7Gvxp1XsZ3fUgWvXegI8H/KvcA4oW/jkK2gFN0xg9enTE/3oOFdJf+keLf5tSbPPmzfPNZ9BeFBcXM2nSJAYPHsz777/PkSNHuPfee6mqquIvf/lLk8fOmjWLb775hueee46uXbvyhz/8gUmTJrFlyxZ6965dGPG6667j22+/5cUXX8Rut/PLX/6SqVOn8s0332Cp02kyPj6eFStW+F1jwIABfv9+9tlnefzxx5k3bx6jRo3ir3/9Kzk5OWzevLnBvpFGySmTg3sNEhJrv3RUDRqbmsLq3kGcew+GmoGhBe6noSgCVTX9gwbvNqB37xIsVp1DZSY9k5tfzb0pbO5vARCo1I/1q+zj/b5M3U5BYoraaNqwLSQkBvc7wzAFOw66Gd7HGjmjuEKBXglJg8Du3+JjGCY79hUxfEBGkKO4lA4Zhh9qgukD0RmR/tI/WvxbHSBdffXV/O9//+O8887jwQcfZOzYsXTt2jVgyiCYuZBefPFFysrK+OCDD8jI8PQH0HWdu+66i0cffZQePQI3r69du5YlS5bw0UcfcdlllwEwceJE+vfvz/z583nhhRcAWLNmDUuXLmXp0qXk5OQAMHToUIYPH87777/PzJkzfedUVZVzzz230bo6HA7mzp3Lfffd50s3jh8/niFDhjB//nz+9re/tdg7XCQmK6RltvRLSkW39MLQshvd4wfXbWmwbcTpJxhxeu2EoWY7DQtQhBOAotT7qI6/qNn9LVbICOMM0jFJQj9IGuK/zTDAtgNShns6u0kkEkkE0qaJIhVFQQjBz372s0b3UxQFXW/5bGhLlizhkksu8QVHADNnzmTOnDnk5uZy8803Bzxu06ZNKIrC5MmTfdsSEhIYP348ixYt8gVIS5YsIS0tzW+/oUOHcuaZZ7J48WK/AKk5Vq9eTVlZmd8xcXFxXHXVVbz//vstPk9HU10pqCg3cTqazlho+lFUs6LOltp80vHjyaz43yDcbg3DUKiujqN791Iu+/53WK1mk9dXFYXeKU18MQpBRunviHN91+R5NNOzKK1QbLicArer8cirugqSW7++bLuiqQoj+nXQDJFGNbgaH9EXUkxnwM2apjFixIgOrkzkIP2lv/SPDv9WB0g33nhjSDqY7ty5k1tuucVvW1paGt27d2fnzsaHgTscDlRV9UuRAdhsNvLz86muriY+Pp6dO3cydOjQBnUfPnx4g/NXV1fTpUsXiouLGTJkCL/4xS+4/fbb/eoKMGzYsAbnOnjwoO+akUZxocm+HW40i0JCUuP30O5cj9Wdj1C8sx6b6Fp3APbsyaK42H/0WmWlDYul6eAIPBMlHiwzGu2krZrFJDi+aJGLQEW39MZR7kmhNTatTFIKTbp2JIYh2JrvZlQ/a+j7IblOgiXdM79PR5PQFywNo1LDMNi6dSujRo2K+Cb2UCD9pb/0jw7/VgdIr776ajtWo5bi4mLS0tIabE9PT6eoqPH1twYPHoxhGGzcuJFzzjkH8Kz5sn79eoQQlJSUEB8f3+LzDxo0iGeffZbRo0fjcDj473//yx133EFpaSn333+/r642mw273d7gXN7JsOoHSE6nE6ez9pd1WZlndmfDMPz+r2maX1nXdRRF8ZVVVUVV1UbLbrcbTdN8ZYvFgqIouN1uhFBQNUjrYqAqFoQQmEJHU63+ZdPEpWSBNbtmu6f1QwiB0+VJy51++lGGDTuBqiikplXVrMCmYNZMr6UqDcumEMSp/tsN07POm6ooiJqWBxMbJ9KfRVE8LV2mSYOyqWXgVjIQwiQlDZLSNCw17zndAKvFU19v2RQCwwSrVlMX07P0hWl6/OqXDVMg6pQRnk7WRk2eUFMVjJp5kDRVQTc8Ht6yqoBav2wK7FZAAbch0FSPt1sXWDRPq6u37PVotZMBlsRMzIwJmKaJxWLBMAyEEL5yoNdbu772hPC99iwWz+stLi4OIYTHQ9exWq1+ZdM0MQzDV/bWvbFyhzvVeT95f5Tpuu5XbsxJVVXsdju6rqNpWqdwCuY+GYZBfHx8p3IK5j4ZhoHNZvNdvzM4BXOfwNNwYZommqZ1uFMwDTsROs998OTk5DBw4EDmzJnD9u3bKSgo4P7772ffvn0AQbd2/fCHP+T+++/n4osvZvr06bzxxhtcc801/Pa3v/VbpDdY5s6dS2pqqu/P23l8+/btAOzYsYMdO3YAsHXrVnbv9iyQumnTJvbv3w/AunXrOHTIMyv06tWrfSPwVq5cSWFhIQArVqygpKQEgNzcXMrLy6mqMFm8eDGlJVUIxWBX/jJMoaMbDnblLwMhcDsOsefAZ2hGAZW6YGtxKkLAqrW9ee+TISxdOpSPPx1K/sE0AKwJ1ZRby8jOrqTErbO/xPOmOV5hcrDMUz5SbnKk3NOydLDMoKBS0Nd+EHvh8ySdmkdGyTzshXNJrinbijx9t4RqZ0tZP447B1BhDGJjST9OugZSYQzim+J+nHIPpNqdweYCHZcOhgmL1zvQDXC4PGWA8mpB7kZPuaTCZMVmT7mw1GTlNk8wdqzYZPV3nvKhkwbr8jyjJvcf19m0x1PefURna77n3u846GbHQU95a76b3Uc8aeRNe1zsP+4pr8tzceik5zlY/Z2TY8We5+Crb11kpmhoqsKKzQ5Kyk1wl5G7oZry8jJwl7B4vQNHVSm6s9Tj5CzFUeUp4y6hvNyzP+4SSkrKWLHJUy48VcbKrVXgLuHYyXJW7/HMCn3o0CHWrVvncdq/n02bNnmcdu9m69atIX/tASxevBiHw4EQgj179iCEwOFwsHjxYs99Ki8nNzfXc59KSnwDJAoLC1m5cqXnPh07xurVqyPOSdd1Fi9ejK7rzTppmkZmZiZfffVVp3EK5j5t2bKFYcOGsW/fvk7jFMx92rJlC3FxcWia1mmcgrlPmqZx6NAhn0c4nFpKu8+k3Vays7O59dZbmTt3rt/2nj17Mnv2bObNm9fosRs2bGDWrFm+mzZy5EhycnL405/+RGVlJVarlZkzZ3Lo0CHWrFnjd+wNN9zA3r17mxyi/8477zBz5ky+++47hg8fzt/+9jd+8pOfUF1d7deK9PLLL3PnnXdSWVnZohak3r17U1RURHp6esh+SZmGRt4WnapKN6ChKJCSYaLWLEppCh2rKCe+MhdhVmJRBZhu3EoWp0p7sODt0QGfk5ycHQwYcApNbbrVqG7ZFIL4wvl0NZtOo7ksA8jjj8QneKZYMIRnvFrAsgJdemgkJKkR34LkcJls3efirME2BKCZVaiu47iVVCyqp2XMbYCl5ueLbvqXrZpn3kRv2RTUOHnKHqc65bQhmClnRUzLhK7rbNy4kbPOOsv370j+xdvev+IVRWHjxo2MGjUKu93eKZyCuU+6rvtSLBaLpVM4BXOfnE4nW7Zs4ayzzvJ8LnYCp2Duk2mabNiwgdGjRxMXFxeWFqSQz6Td0iHsiqKwd+/eFp932LBhDfoClZaWcuzYsQZ9feozZswY8vLyfL9OBw8ezN13382YMWOw1kxZPGzYMJYvX96gqW3nzp2MHDmyxfX0ngsgLy+PM844w+9c3nmR6mOz2XzNq3Xx3qi6N6xuuW7fqpaUvb7eslP3dGJOSLISFweKCopS51qKFcUw0KjAsGSjK1bQFBRFIy7O4IxRR9m7L5PRo2vXSou36wwcUIRaM1S9bn+i5so2pRKAKvtFOK2B7quC0zYaS4VCdi8LiS3oP1S/P4+15ulQFMVXVhVPerFBWVV8zal1y3WH4TdarnNdSwvKVotCRoonSLWoimehVEsi1m7TQPMs2VJ3estAZaVOue4kBwHLimfOKW/zdmOvsVC99uqXVVUlMzMTVfVMlOndXrfs/VBtaTncTo2VAzkZhkFGRkazrtHk1NKyt77p6em+4KizOLW0bLFYyMjI8AUUncWppWUhBJmZmb7jO9rJG9i1hFYHSKZpBkxblZaW+poDu3fvTlxccKN1pk6dyjPPPENJSYmvr9A777yDqqq+YflNoSgKgwcPBuDkyZMsWLCA5557zu/8Tz31FJ999hmXXHIJALt27WLTpk089NBDTZ77rbfeIi0tjUGDBgFw3nnnkZKSwjvvvOMLkNxuN++//z7Tpk0LyjsUGIan9QM8y4iAZ1S1GqBjsGmY5O8QjOoDQrGAYiE/P53SUjs9e5ZywQX7ueCC/a2qh6evCVj0I8S7vgEgEU+za1XcWKrsFzZyoOc/mtow+IkqTJ2600ZrwKBuADqYgOkGFFDiQO38a49omuZ7D8Ui0l/6S//o8G91gJSfn9/kY/feey8nTpxg2bJlQZ13zpw5/PnPf+aKK67g0Ucf5ciRIzzwwAPMmTPHbw6kiy++mAMHDrBnzx7ftqeffppBgwbRtWtX8vLyeOaZZxgzZozf1ADjxo1jypQp3HLLLTz//PO+iSJHjRrFVVdd5dtvzJgx3HTTTQwbNozq6mreeOMN3n//ff74xz/6Ili73c4jjzzCE088QZcuXRg5ciR/+9vfOHXqlK8jd7jQ3YK8rTpuZ+0Xs9sF8Y2sKXt05z7+92kPhs02UZM8EffOvGz27s1iwoS9ZGVVBT6wBZSXCFQN+jp+R7y5x++xamcCVXrjWV6rTYnuyZNdRZ5h9nUCH92AdflpnNOvxJcOxJrhmSk6BtB1nXXr1nHOOec0GHUaC0h/6S/9o8M/JLXr168fCxYs4IwzzuCXv/wlf/jDH1p8bHp6Op999hk//elPueKKK0hOTua2227j6aef9tvPm8uuS3FxMffffz8FBQV0796d2bNn89hjj/ma2LwsWLCAe++9lzvuuANd18nJyeHPf/6z380aNGgQf/jDHzh+/DiKojBy5Ej+85//cMMNN/id66GHHkIIwfz58zl58iRnnnkmS5cuDfss2oYOjirPKKE4myfCSExRsFgDRxtVFZ4g5Yv1FzFx0gEAuncrQ1UFaaltXzcnvYuG/cgpMEFPOptqIxFbYhZZ3ceQpTb+MlSAOHsUR0hCB1s3yJrg26SaJj3FSdQeXWqnLVetoDVMvXZGVFWlZ8+eDd6XsYL0l/7SPzr8Q9pJ++c//znvvvsuR44cCdUlop6ysjJSU1MpLS0lJaX95qpxVAu+/caFLV7xBUiNUVFq8t3aw3y7LYthw05w8aQ9Te7fEiz6QVTT0+pUWSHo0l0l6dAvwayGM/8J8b3afI2owHkCtCTocWW4ayKRSCQxTzBLnYS0fauqqqrJuYskocHtEuTn6ZhG0zNlq2YpZYd28s47IwHP2mpWa8s7sDWGVrKcbo56rYYHaos6caze5uC802x+nZcjFscxMCpbd6zphAT/wFfXdVavXs15550X8U3MoUD6S3/pL/2jwT9ktVu1ahVvvvkmQ4cODdUlJI3gcgrKS0wEnvXHGkM1Kyg7WQKApumkplYzeFBhm69vdXvmwBBqPELzBAfeCR5JPg01LouBPTzD3qMCvQKSBkNC/9Ydb0ny+6eqqgwcODAqmphDgfSX/tJf+keDf6sDpEmTJgXcrus6R44c8XXi/vWvf93aS0haifBM10NyqtLsBJlutyeC6tunlKlTG1/KJRgUPBMiKl2nofS7o8HjKtAzs10u1XHYunmCpHbAm4OPVaS/9Jf+0j8aaHWA9PnnnwfcrigK6enp5OTkcO+99/otCisJPbouOHnU9ERITcRGpiH48M1kTp44FwBLG1JrQggqy2unFLB555lQAv9C0A3Bym1OJoyMkhRbOw+j03WdlStXMmHChIhvYg4F0l/6S3/pHw3+bZoHSRJ5OKoEhccNDEP4JnAMRHmZ4OQJ7+0X9OhR1uprel8KSSkqNrtCYpGAchodtq6qMKKflShoYQ0JqqoyYsSIqGhiDgXSX/pLf+kfDf6RHb5JWoUQkJ6lNple0z3Li5EQX82sWVuw29vWOVtRoEt3FXu8Co6aAKmRpf5URSE7LTbm/AmEqqpkZ2eHuxphQ/pLf+kv/aOBVodwpaWlbN26laqqwBMIVlZWsnXrVt9q9ZKOwVElaMm8Dd6ZteOsrjYFR7ouqK70rEVWG5DVNCk10oLkNgRLN1TjNiJqGcAmUNo1zeZ2u1m6dGmbFj2OZqS/9Jf+0j8a/FsdID355JOcf/75ja5rYhgG559/foMJHiWhpaLMxFktGuv+46NLN5XrflTCjEs/a9P1qioEcXaF+ETVt64Zouk+SJoKY4fEoUV+C6uHdp4qTNM0xo4d2+wcHJ0V6S/9pb/0jwb/Vn9Fffrpp0yePJnk5OSAj6ekpDBlyhQWL17c6spJgkcIsMU3P3pNsyikpJqkp1a0+ZqpaSp9BliwemfpFk23IKmKQkay5reIbSyhqioZGRlRkYMPBdJf+kt/6R8N/q2u4cGDB32LwjbGwIEDOXjwYGsvIQkSt0vgcjY5eA2AYwfdrF1WQenJaoKdSN00BLq79s/QBbbyJZD/cu1fRV7N3oFfXm5d8Mm6atxNrMEWUkw36JUt/zPbvtRKXdxuN5988klUNDGHAukv/aW/9I8G/1Z30lYUBafT2eQ+Tqez0RScpH3RdcGurTpVlWaza54WHylgx5Z0dn/blbtuCu7+lJcKrHWWDEuOO0DSyT8H3tkSeGVciwbjR9hqF2rtaCr3gTVwy2dA4rqA0n7jGSwWC+PHj4/4Ia6hQvpLf+kv/aPBv9U1HDZsGJ9++ilCiIDpHNM0WbJkiZxJu4MwDXA6BZrmWZS2Kbp2q2TMyAP06G1ixAW5qK4CWd00kpI9rUNKWQXsASypkJ1Tu58lGbIuCnwKRSElIYzpNUWF1LMgoV/Lj6k3G3abLq8o7bruXrQh/aW/9Jf+0UCrU2yzZs1i165d3HLLLZSWlvo9Vlpayi233MKePXv44Q9/2OZKSlqIAKstcP+jogKT/F06xSdNuvdwMP7cLfTpVw1KE2uRBEAF7MZe4iq+Iq7iK6zVWzwP2LpC39tq/3peB1pCwHO4dcHCNWFMsaGANSW4v+Z6vQeB2+1m4cKFUdHEHAqkv/SX/tI/GvwVEWwnlBrcbjcTJ05k9erVpKWlMXbsWHr27MmRI0dYv349JSUlTJgwgWXLlmG1BvclHEuUlZWRmppKaWlpq6NqR5Vg706dylKThGSFOJt/gFReavLuyw4AVNVk8MBjTL3oM9zWgc2eu6rSxO2qjaTt2iH6V93VcMeUM+D051pUXyEEDhfY42i2M3lQVOaDcDc/JF+1Q5dLIKFP+107CIQQOBwO7HZ7+/pHCdJf+kt/6R8uf8Mw2LFjB8OHD292JF2rU2xWq5Xly5fz2GOP8fLLL7Ns2TLfYykpKTzwwAM8+eSTMjjqANwuz+K0cTawxjV8vKLUEwNbLCbdso4xdNABdK1Hi85t6JCSppKe5QmRLBWFcABPkJFYE2ApGvS4Nqg6h6b/kQ7Jw1u2ZpqtWygq0GKiIf8eSqS/9I9lpH90+Lcpb2C325k/fz5FRUVs27aNL7/8ku3bt3Pq1CmeffZZbDZb8yeRtBlvE2BicuD0mtvl2SMj08U1ly2nd3+BUONbfHJbvEJSfDlJ9hLsWnHNxQbCiN97/k7/HaSPbXF9dQMWr3egh6L/vr0nxPdu/k8NX+Cu6zqLFy9G1/Ww1SGcSH/pL/2lfzT4tzrFJmkf2iPFduygwYHdOuldAgdI775cSXmpQs8eJVw7/aMWpdYAqqtMqitgYPJ/SCxd4P9g6mg4bV6r6iuEQDc8rUhBNbFW5YPZxJtKuCB7KiRH9sAAIQS6rmOxWGK2iV36S3/pL/07bYrtu+++Y/ny5cyaNYsuXbo0eLygoIC33nqLyZMnM3z48NZeRtICDENQXSXIaKQjsRAmoJGaVIihZrb4vLoLMrJV7OXf1mxRPH+KBhnnt6nO3gCpxQjT85c8DGwNX28+7OFNnbUU7wdErCL9pb/0l/6RTqtTbPPmzePZZ58lMzPwF25mZia/+93veO65lnXclbQeISC+iWHzutvz2KjR5ZhaWsvPCyQkK2jUzHc17EkYtwTO/Ri6Xdbq+uoG5G4MNsVW09CZfBqkjGz8z5ra6np1FLquk5ubGxVNzKFA+kt/6S/9o8G/1Sm2/v37M378eP797383us/NN9/MqlWr2Lt3b6sr2Nlpa4qtssLk8D6D4kKTjC7+8e6JIwZrcqsoPuVpqpn9w29ISWl6ck+XU+B2C1Lcn5HhXIDFYqIZp0DocNqzkHpm0HUMClcRGAFmrhYGYEC3K8DeNbR1kEgkEkmnJJgUW6tbkI4fP07v3r2b3Kdnz54cO3astZeQtIDCoyYFRw3iAvSH37fD8AVHdpuDhITm551wVAls8SoZ5qfYOIamn/AER4oF7L3apc5CCMqqzMDLnLhOQlwGxPfw/0voDYlDGp2dO5oQQlBWVhb0Mi+dBekv/aW/9I8G/1YHSImJiRQUFDS5T0FBAXa7vbWXkLQAE0GcTSEppeGt9I5eGzViHzfcsAWLxWz2fIoCaRkKNqvLs6HfXTDiBTjr32DLapc66was2u5sJMWmQcooyJ7S8K/LxHad0Tpc6LrOqlWroqKJORRIf+kv/aV/NPi3OsWWk5PDpk2b2L17N2lpaQ0eLy4uZvDgwZx55pksX768rfXstLQlxeZ2CfZ+p1NWbJKW5R8gqWYpB3brlB49TJ9ex+nWs/FY2BQCpfogaY73MdwuEpIU4qrWg1EFp8/39O1pD4QJejm1ExMEwHHc078psX/7XFMikUgkkho6JMX2k5/8hFOnTjFx4kRWrlzp99gXX3zBxIkTKS4u5u67727tJSTNUHDUoLTIRK0/GEAYxFf/j9O7f8D5Z62mR/fyJs/jqBKkVL1Psms5aWIlceVfeIIjgLiWj3prFncxuMswDTdFZQam4Qaz3p+9G6ide/4s0zQpKirCNJtv0euMSH/pL/2lfzT4tzpAmjFjBr/4xS/YsmULEydOJCEhgQEDBpCQkMCkSZPYunUr999/P1dccUU7VldSF8PwDPFPSfO/jVUVBl+sHMzajaNxW/phqs2M7BJgVSsBMDMmQL85nr9hvwV7y2bcbhHCAGsKRrcrWX8wHaPbldDzWv+/7ld6+hx1YgzDYP369RhGKGbKjHykv/SX/tI/GvzbPFHkxx9/zN/+9jfWr19PaWkpaWlpnHPOOfzkJz9h6tSp7VXPTktbUmz789ycONJw9NqpY1V89AYkJVVz040bGz1eCIHmPopavoFMczFW4xAMuh+6TG6VS8MLGJ45CLy4CkBLgp7XtM/5JRKJRCIJgg6ZKNLL97//fb7//e+39TSSICk8YVB6SjRYl1UxK0hXV3HOWRlogRZmq0N5iaC/+znizT21G7V2GiUmDKjIAy3Bf3ucHdM0KSwsJCsrC1Vt02o3UYn0l/7SX/pL/8j3b5faGYbBiRMnOHjwYMA/SftjuKG0xCQl3T9CUoSLtPhjnDt2L2eddbLZ88RxCgAzZYwnvZU6pn0qKAxPa1HGBdD9itq/zAsxTZPt27dHRQ46FEh/6S/9pb/0j3z/NqXYNmzYwKOPPsrKlStxuVyBL6AoUTGcL1y0NsV2/LDB/jydzOzaGNc0BTs3lGJ1fEuvvi4ys5p+3suKnZzmvMrzjzP/BfE9W+UQENPlGZHW48r27egtkUgkEkkr6ZBRbJs3b2b8+PGsWbOGnJwchBCMGjWKnJwcsrKyEEJw4YUXMnv27NZeQtII1ZWC4pMm9RcXWfuZm6+/iOPLr0dz4GDjQUlFqUlZsUkf95O1G9tr5JjphordULkH1DhoUEvPL4gjR45ExS+IUCD9pb/0l/7SP/L9Wx0gPfXUUwB8/fXXLFy4EIArr7ySJUuWkJ+fz5w5c9i+fTuPP/54+9RU4sPpEJQUmiQk+wcfRQW1L7j+/csCHiuEQAAZXTQSlAOejfF92q+Vx3R5JnPMnACZ5wdcG800Tfbu3RsVb5BQIP2lv/SX/tI/8v1bHSB9+eWXXH755QwfPty3zZuti4+P5y9/+Qs9evTg0UcfbXstJQ1QFLDH+wdIutvz/F857XPS0wOsZ1aH5HQF1bsI7dAnaNDbu9UIQIGkIZA4EJSGTZgWi4UJEyZExWrOoUD6S3/pL/2lf+T7tzpAKi0tZcCAAb5/W61WKioqak+sqlx00UV89tlnbauhpAGlxWaDuaiPHTQoLvRstVoDzy9hGoKKMkGG+30Sts+onQyyrem16iNQlV/7p0Cg1JqvHqbJgQMHouIXRCiQ/tJf+kt/6R/5/q0OkLKzsykuLvb9u1u3buzevdtvH4fDQVVVVetrJwlIZZnA7fYPkQ7vrw2KUjMCv/DcboiLU0hXV6OImk719p5gTWt9ZYQBphPsvT1LkqSfC8mng9b4GnzRlIMOBdJf+kt/6S/9I9+/1W1cp512Gnl5eb5/n3/++Xz44YesWbOGcePGsWPHDt5++22GDRvWLhWV+JOYXD+95vn/WaN2EhefEOCIGhSwWgxwAYMehMwLabhWSRAIAYoKaWeBvWuLDrFYLJx33nmtv2aUI/2lv/SX/rFKNPm3ugVp+vTprFy5kmPHjgHw0EMPIYTgggsuoEuXLowcOZKSkhLZB6mdMQyBYQi/BJZhCHZu9gzpj7cHnm7BNASOqppWJ1Ez/N+a3rbgqJUYhsGePXuiYqr5UCD9pb/0l/7SP/L9Wx0gzZkzhyNHjpCZ6Rn9dMYZZ/DZZ59x6aWXkpWVxSWXXMKiRYu48sor262yEqgoFTgqBRZrbYh08mhtU2VKSmXA46qrBfZ4hfgExZMWA1DaMTgKopO3EILi4mLauMpN1CL9pb/0l/7SP/L927wWm6RtBDtRZMkpkx2b3X4TRB7cq/PZB56Wo5/e/i6mtXuD4yrLTZJSVXr2tcCmH4HjKJz+e0g5vW0Cpg6Ow55Zsm3ZbTuXRCKRSCQhpEMmipSEB0MXUK9vm+4Cezz06nkqYEOOEAJdrxlX5iz0BEcQcAh+UAijdiRcEBiGwc6dO6OiiTUUSH/pL/2lv/SPfH8ZIEUZRSdNdN2/0a9rL5WRZzmIt1cFDHoqywUWK2gWBY68VfuAJaltlanaD3q5ZxRckOm66uqm52nq7Eh/6R/LSH/pHw3IFFuYCTbFtnu7m1MFJhld/GPbwoPHyWA5SZnZDfoDlZeapKSrdOuloe2dB6c+h/i+cOZLbat8xR7P6LWUEW0PtiQSiUQiCTEyxdaJEYBWr7GmvNSkWw+d9NSKwJ2lBVjjFDStTgftbt9vnwpZU4MOjgzDYPv27VHRxBoKpL/0l/7SX/pHvr8MkKIIIQSuaqg7jfapApMVHzpZ9VkCgdoCTcPT/6j2JN4RbG3sfySRSCQSSSdGBkhRhGmCrgu/FqSqCkHRScHObfaAjUemCbZ4SEyqedA7B1J7DPFvZkmRxtA0jREjRjTbvNlZkf7SX/pLf+kf+f4yQIomalqINK02KMnqqnLJlTa+f00pNFihrRZrXM0xRs08SWFsQTIMg02bNkVFE2sokP7SX/pLf+kf+f6Rv5yuxB+BX6NNfKJC74EadsdBcDYWINUcULIByr+t2dSGW69XguMYCGerTxEfH9/663cCpL/0j2Wkv/SPBmSAFEU0NdxQMctQhKPpE3iDI4CkNqyRp5eDrSskDQZ7t6AP1zQtptfok/7SX/pL/1glmvxlii0KqdvXqLTIZPd2nSNHUjDVjCYOAoyaFp/u17QqsPFDi4PUUZ45kIJE13XWr1+P7td7PHaQ/tJf+kt/6R/5/jJAiiLMACnbrV+7+fJTF9u2dkUE6DDtcnnanbRDL8Kxdz0b1bjgL244PTNwVx8B53ECDplrIYqikJ6ejhLE+m2dCekv/aW/9Jf+ke8vU2xRhNslcLsF9joL1XrjlOpKE6EkNDhGd0FSio5W8GHtxoS+rbh4Mag2sGaArVubWqA0TWPQoEGtPj7akf7SX/pL/1glmvxlC1IUIYTnz1InrDVqWimHDDyMqaU1OEZRICnRVbth1N8g66LWXB0sKdB1CnSbCmmjW3EOD7qus3r16qhoYg0F0l/6S3/pL/0j318GSFGEMGkwiu3oAU/ezWp1BzxGd4PFsa3mXyokDAj+woYD3KXBH9cIqqrSs2dPVDU2X37SX/pLf+kv/SPfX6bYogiXU2Ca/p20vSk2i2ZQf9JGXRdY4iC+5P2aLWbgpUiao/oQxGV6WpDaAVVV6du3FWm+ToL0l/7SX/rHKtHkH/khnMSHoiqYAlS1bh8kT4SU2bVhp2lhgmZR0NSapszeN7X2ypB6BmSe38rj/dF1nZUrV0ZFE2sokP7SX/pLf+kf+f6yBSmKME3/cWoVZSa627MlLs6gfrxrmmA38lCr8jwbkocHd0Fh1DRRGZ4O2kr7xNOqqjJw4MCoaGINBdJf+kt/6S/9I99fBkhRgmkKTh41qTs7+6rFtZ2v46ym3/6V5SYY1fR3PFK7UUts+QXdJeA8CaoVtKR2XZrEm4OOVaS/9Jf+0j9WiSb/yA/hJICnIcfpFNjrzNDuqPak1Qb3z8dis/ntb5qQlORApSaI6nEdJAYxtNJ0eWbL7jYDuk6D+D5tVfCh6zorVqyIiibWUCD9pb/0l/7SP/L9ZQtSNCHqLDoLvtakM0YdINCttNlr+iUpFuh7S/DXU1Swd21FRZtGVVVGjBgRFU2soUD6S3/pL/2lf+T7ywApWggwcbV3Zm1NNRs+KKiZF4B2TY+1B6qqkp2dHe5qhA3pL/2lv/SPVaLJP/JDOEmjJKUopCRXYbEGWIMEUPAGTpF1m91uN0uXLsXtDjx3U2dH+kt/6S/9pX/k+8sWpGii3iSR02bZSaxYgiqqMYhvsLtCTeDUTqPP2gtN0xg7diyaFlktWx2F9Jf+0l/6S//I95cBUpRgBG4kIlDuTQiB0wkQuSm2jIyMcFcjbEh/6S/9pX+sEk3+kdW0IGkUt9uzUK3aINYJFCCBPR40tS0tSPWaq9oRt9vNJ598EhVNrKFA+kt/6S/9pX/k+8sAKZoQ4G2VdFQJ/vuXKv756iTfciN19wOwxXsfiKzbbLFYGD9+PBZLbDZgSn/pL/2lv/SPfP/Ir6HEn5pGHdMEpwMUJS7g8mop+mfEHVpcc0wLAyS9EowqT9lVCPEJba9vABRFISWlfdZ1i0akv/SX/tI/Vokm/8hqWpC0GHu8yfXXfckPr/oAodgaPN7F/R/U6l2ef8R1adlJHUc9M2erVrD39EwUGQLcbjcLFy6MiibWUCD9pb/0l/7SP/L9IzJA2rlzJ5MnTyYxMZFu3brx4IMP4nK5mj2utLSUO+64g6ysLBISErjooovYvHlzwP1uvfVWMjIySE5O5pprruHYsWN++/z9738nJyeHbt26kZKSwrnnnsvChQsbnKtfv34oitLgz+FwtNo/IPXSaKoKmWklpGVZMdWG0bgqqmsq+GMY+ngLL6JAyijoOdPzl3lB2+rcCBaLhZycnKhoYg0F0l/6S3/pL/0j3z/iAqTi4mImTZqEy+Xi/fff55lnnuGll17i3nvvbfbYWbNm8eGHH/Lcc8/xzjvvYLFYmDRpEocOHfLb77rrriM3N5cXX3yRN954g7y8PKZOneo39fnTTz9N3759+b//+z/ee+89Ro0axRVXXMFrr73W4LrXXHMNa9as8fuz2Rq26rQvgoCzRwKKcKBR6flHxnkQl96C0xkgnO1XvWaIhjdHKJH+0j+Wkf7SPxqIuFq++OKLlJWV8cEHH/iGAuq6zl133cWjjz5Kjx49Ah63du1alixZwkcffcRll10GwMSJE+nfvz/z58/nhRdeAGDNmjUsXbqUpUuXkpOTA8DQoUMZPnw477//PjNnzgRg48aNZGVl+c4/efJk8vPzmT9/PjfddJPftbt27cq5557bvk9EI3i7G7krivh6/SA0q8JZY0757ZPg+Lz2Hy1doLZyP8RlepYlCTG6rrN48WKmTZuG1WoN+fUiDekv/aW/9Jf+ke8fcS1IS5Ys4ZJLLvGbJ2HmzJmYpklubm6jx23atAlFUZg8ebJvW0JCAuPHj2fRokV+509LS/Pbb+jQoZx55pksXrzYt61ucORl9OjRHD16tNVubaVue5Gj2mTdxuFs3DywwX6qWebZX0sCSwsDJAVIHAqJA9pe0WawWCxMmzYtan5FtDfSX/pLf+kv/SPfP+ICpJ07dzJs2DC/bWlpaXTv3p2dO3c2epzD4UBV1QZPus1mIz8/n+rqat/5hw4dilJv6Nfw4cObPD/Al19+yfDhwxtsf+ONN7DZbCQlJTFt2jS2bdvW5HlaQ/2h/KJmQ6ARbFbT05/KSJ8U3EWsaR0263Y0rOQcSqS/9I9lpL/0jwYiLkAqLi4mLS2twfb09HSKiooaPW7w4MEYhsHGjRt920zTZP369QghKCkpadP5//vf/7J69Wruv/9+v+2XX345f/nLX1i+fDl//etf2bNnDxdccAH79u0LeB6n00lZWZnfH4BRM1W2YRiNlHVEzeKzpqmDuxAARRG+YMkwPeUkxzIAhOJpvnTrtft4y0KI2nLlQdymBRTFs71mdIFpmn5l74u6sbJhGH7lxpycTie5ubk4nU7fdl3XMU2zybLb7fYr+5xqyt661y0DHeJU16M5J4fDQW5uLrqudxqnYO6T2+0mNzfX79/R7hTMfdJ1ndzcXN9Ajs7gFMx9CvT+j3anYO6T11/X9U7jFMx98r7+vQOvwuHUUiIuQGotOTk5DBw4kDlz5rB9+3YKCgq4//77fYFK/RajYNi6dStz5szhRz/6EVdccYXfY3/605+44YYbGD9+PDfddBNffPEFAPPnzw94rrlz55Kamur76927NwDbt28HYMeOHezYscN33d27dwPw3Y7NVLoOAHD4xEZKqzwvLkMISpyeF9fOIp0yZ+3QyTLb9wDI3eigvNqzz+L1Dhwu0A1PWTfA4dJZvL0rxPemvLzcl8osKSlhxYoVABQWFrJy5UoAjh07xurVqwE4dOgQ69atA2D//v1s2rQJgN27d7N169aATvn5+cyYMYNt27axf/9+ANatW+frTL969WrfqMKVK1dSWOgJBlesWOELdHNzcykvL/c4LV6Mw+Hw5bZ1XcfhcPhSph3h5L1PmzZtatZpzZo1jBs3DqvV2mmcgrlP3veid7RnZ3AK5j5ZrVbGjRvHmjVrOo1TMPdp27ZtzJgxg/z8/E7jFMx92rZtG6effjpWq7XTOAVzn6xWK3a7ncrKyrA5tRRFeEO3CCE7O5tbb72VuXPn+m3v2bMns2fPZt68eY0eu2HDBmbNmuW7aSNHjiQnJ4c//elPVFZWYrVamTlzJocOHfJ9OHm54YYb2Lt3L2vXrvXbfuDAAc477zyGDx/OkiVLWtSpbPr06RQWFvL11183eMzpdOJ01o4WKysro3fv3hQVFZGenu6LwjVN8yuXFrvYuckgJUNDUQzKDuXxwTv9SUx0ctON61EUBcMUaKKSXievA6Bq5IckJMXj1gUWzfOF5C2DJ0iyaEDFXvSMCVjTRyCEQNd1rFYrpmliGIavbJomFoul0bJhGAghfOVAHt59qqqqiI+PR1VVNE1D13VUVUVV1UbLbrcbTdN8ZYvF4nGqKYPnV0rdstVq7RAnb1nXdRRFadLJ7XZTWVlJamoquq53Cqdg7pO3RTctLQ1FUTqFUzD3yWKxUFpaSmJiYpN+0eQUzH0yTZPq6moSEhJ89Y12p2DuU933v2EYncIpmPukKArFxcWkpqb6no+OdFIUhR07djB8+PBmF8yNuBakYcOGNegLVFpayrFjxxr0TarPmDFjyMvLY9euXeTl5bFlyxaqq6sZM2aML7AZNmwYeXl51I8LA/V9KiwsZMqUKWRnZ/P++++3S497m81GSkqK3x/gu1GapgUsm4YFpaZ/kIZORZEnyFJV4ftFrqkKXYsfAECgoKpxAFgtim8fb1lRFKyiFKVyL4pwYK15ISqK4vNUVdWv7H2xNlbWNM2v3JiTEIJVq1b5eVssFlRVbbJstVr9yj6nmrK37nXLHeVU16M5J4CvvvrK90bvDE7B3CfDMFizZg2GYXQap2Duk67rfPXVV77XQmdwCuY+AaxatQohRKdxCuY+Qe37v7M4BXOfdF1nzZo1vtRbOJxaSsQFSFOnTmX58uW+JkWAd955B1VVfcPym0JRFAYPHsyQIUMoLCxkwYIF3H777X7nLy4u5rPPPvNt27VrF5s2bWLatGm+bRUVFUydOhWXy8XixYtbPDX60aNH+fLLLxk7dmyL9m8xwrNgraqCKsow3SUAlJfb6+yjY9UPAuCwjsJqa+b2ukshoQ90uThks2YHwmq1Mn369Igf4hkqpL/0l/7SX/pHvn/EjbObM2cOf/7zn7niiit49NFHOXLkCA888ABz5szxmwPp4osv5sCBA+zZs8e37emnn2bQoEF07dqVvLw8nnnmGcaMGcPNN9/s22fcuHFMmTKFW265heeffx673c4vf/lLRo0axVVXXeXb76qrrmLz5s3861//4sCBAxw4cMD3mHfOozfffJOPP/6YadOm0aNHD/bt28fcuXPRNI377ruvXZ8XgaeFSFEUEAK323PrBg866dtHEbWzjRdl/oaeWnP9roRn5FrqGe1a1+YwTdOXYqnbqhIrSH/pL/2lv/SPfP+Iq116ejqfffYZFouFK664gocffpjbbruN3//+9377BeqRXlxczP3338+UKVOYO3cus2fPZuHChQ1uwoIFC5g8eTJ33HEH119/PYMHD2bx4sV+zW/Lli1D13VuvPFGxo0b5/fnpX///hw9epR77rmHnJwcHn74YcaMGcOaNWvo379/uz4vbqfwzYOkmSc5ciwbAKvV8O2TWv4K4EmvNTnhozDAcRxcp6iderLjMAyD9evX+3LYsYb0l/7SX/pL/8j3j7hO2rFGWVkZqamplJaWNpnGO3HYYNc2na69VBIqP+Wz3G7s3DuEAf1PMXWqp89Wz+NXouBCJ4XC3m/SrVcjQZK7DPRysKZD8nBIHhoKNYlEIpFIIgrDMKK3k7akcSxxNQXFxG14Zsju3bvEs00IFDwptvy435GU0tStFaDGQddLwxIcmaZJQUGBr5NerCH9pb/0l/7SP/L9ZYAUJdTNJirCxeFjXYDaFJsqyn2PG0pawBm2a3eo9p6pnWvZMkzTZPv27VHxBgkF0l/6S3/pL/0j31+m2MJMS1Ns+/PcHMk36drNSWLlQrZt70VZVTZ9+hTTs2cZCdWfkVHq6ae1K2khvQbEkZAYIP4VJlTkQUI/6Dod1Ijrpy+RSCQSSUiQKbbOiABrHICBiosRIwsZMrSAHj08S5UowtMq5FaysFg14hMaax0SoNogbUzYgiPTNDly5EhU/IIIBdJf+kt/6S/9I99fBkhRgim8C9PWNvhlZlT7UmnxDs906tWWkUATS6sIw3Oipka5hRjTNNm7d29UvEFCgfSX/tJf+kv/yPeXKbYw09IU27cb3VSUmnRL3gplG9l35HTi7Cp9+5Rg0Y/QrfAOAE6p0ynPuIt+gwMEQM6T4C7xzH2UnQO2LqGRkkgkEokkApEptk6IYQg0C4Cgqgxyl4/ks88GA6AZhb79SizTSUhspPXIdIG9J2RPhrjM0Fe6EUzT5MCBA1HxCyIUSH/pL/2lv/SPfH8ZIEUJigBVxZNhs9jp2bOEbt3Kax5zAOCyDsGp9q7pq9QIlniwZYMSvlsfTTnoUCD9pb/0l/7SP/L9ZYotzLQkxWaagm3r3JimoIu2HKt7H27rQN/jGcXPkOD8Cod1BLuZS69+GulZ9ZoOTR3Kt0PKmdC1+TXtJBKJRCLpbMgUWydDd4Ohg6oqKGYVgno3tU6H67g4sMYFSLGZTs+CtIntuwRKazAMgz179kTFVPOhQPpLf+kv/aV/5PvLACmKUDUAFYNEDEPB2/anCCcAlbaLQGkkQEIACti7d0xlm0AIQXFxMbHaeCn9pb/0l/7SP/L9ZYotzLQkxeZyCravd2ONM8kwFrJ1a3dWrj6DQYNOMiVnF72OTwfgZNK9FDGRfoOt2Oz1gqSqA575j3pcDZbEUGtJJBKJRBJxyBRbJ0MIT/uPKqpQRRWm8NxUVRFQJ77VtezGT2K6PMP6NXuIa9s8hmGwc+fOqGhiDQXSX/pLf+kv/SPfX64zEVUIFExM0zNMTVUFUPsic2v96v6zHgokDgSl6Yi5o6iurm5+p06M9Jf+7YFhGLjd7nY5V0dhGAZVVVU4HI5mf8F3RqR/6PytVmu7nlMGSFGIKTzpM0UFhdpVbIWihWn52eDQNI3Ro0eHuxphQ/pL/7b6CyE4fvw4JSUl7VOpDiY+Pp6DBw+GuxphQ/qHzj8tLY1u3bo1vppEEMgAKYrw3m/T9GRGPSm2unNJNBE5K77/hJ1gcsCdEekv/dvq7w2OsrOzSUhIaJcvg45CCIHT6cRms0VVvdsL6R8afyEEVVVVFBQUANC9e9sHJMkAKRoQNX8167B5ux2pqvBvQWoqQJJIJJ0CwzB8wVFmZvhmxG8t3nFBdrs9ZgMEkP6h8I+PjwegoKCA7OzsNv8AkwFSVOFpLSov97wIFEVg0Y8Ant5Jnv5FggavOdPlmQcpQtA0jREjRoS7GmFD+kv/tvh7+xwlJCS0V5U6FEVRfF9ksYj0D62/933hdrvbHCDJUWxRgNstMIXAahxCMSuprLIBoBsqKRX/BUBB4HQINE3xz6QJAyr3QFyW34SS4cQwDDZt2hQVoxhCgfSX/u3hH62tD95USKzOMCP9Q+vfnu8LGSBFCcIATVNQhLtm0VpISnLWThIZ71k+xBKnEFd3okhhgJYE6eMgoW9HV7tRYvkXFEh/6R/b/tEa3LUX0j86/GWAFCV45sEWmEocVZWeYf6pKdXY3N8CUG0/H8AXPPmjQFx6WBeorYumaQwbNiwmO+iC9Jf+se3vTbE09iVZUlKCoii8+uqrQZ972bJljBw5EpvNRlpaWtsqGgBFUZg/f77v36+++ir//e9/gz5HU/4dyUUXXcT3v//9kJ3/r3/9K2PHjvX9e9++fVx22WUMHjyY+Ph4evTowbXXXsuuXbv8jrv99tu5/fbbQ1avlhIZ35iSJnFUC4RpYjEOoWBScDIZgOy4lb59TMWOq7reODXDARW7QLMRKSPYAHRdZ/369ei63vzOnRDpL/1j2V8IQWVlZUhSLD/60Y/o3bs3y5cvZ/ny5e1+/vq0JkAKpX8kUVVVxW9/+1sefvhh37aKigq6du3KE088wZIlS3j++efJy8tj4sSJFBYW+vZ76KGH+Pe//83u3bvDUXUfkdEpRdIkqqJg6i4sogxTSSIpyUlFhY3kuHzfPi7rUFQL2OPrBEKmC2zZkH4OWNM6vN6NoSgK6enpEfELKhxIf+kfy/5ASFrPKioqOHLkCE8++STjx49v9/O3J7HQerhgwQLcbjczZszwbRs1ahT/+Mc//Ib5n3322QwZMoTc3Fyuv/56AAYNGsT555/PX//6V/74xz+GyUC2IEUNmqYAAqEmYBieD1a7pRSAivipoFhRAWv9NdhQIL5PxKTXwPPhMGjQoJj4kAiE9Jf+seyvKIrfEO+XX36Zfv36kZCQwMUXX8yePXsCHvfqq68yatQo7HY7PXv25Je//KWvo/urr75KcrKnZf3WW29FURRuvvlmgP9v77zDoji3P/6d3WV36UsRgqKInUQUMYqdomIsiUasuTG2GzUm2OONsWFi1HivN0YTS36xRmPDLraoGBNRr10saFRQMZEisEjdMuf3B9mRYRdBBdll38/z8LBz5sw75zszu3v2rVi0aBFatWoFZ2dneHh4oFevXkZNOqaami5dugSO43D8+HGT8YSEhODXX39FTEwMOI4Dx3GIiop6pva1a9eiefPmUKlU8Pb2Fmkw7Oc4DqdPn0ZYWBjs7OxQt25drF692qisHTt2ICAgAEqlEjVr1sSkSZNQUFAg8snKykJkZCS8vb2hUCjg6+uLadOmGZUVHR2Nxo0bw8HBAWFhYbhz545o/4IFC9CgQQMolUrUqFEDXbp0QWJi4jO1rlu3Dr1794ZMJq6HKXn/DVNVaDQakV///v2xcePGKq1pNZ9vTUapEBHk9CcMPZEG9L+MkYO3wpPfWLSfUxgfVPAIyLv794Z5/VLV6XSIi4uz2iYGpp/pt2b9RIScnBwQEfbt24dRo0YhNDQUO3fuROfOndG/f3+jY/773//in//8J7p164a9e/fiX//6F5YsWYLp06cDAHr27IlffvkFADBjxgycOnUKM2fOBAAkJyfjk08+we7du/Hjjz+C53m0a9cOGRkZL6Vj2bJlaNGiBdq3b49Tp07h1KlT+Oc//1mqv0FDeHg4tm7diqlTp4o0FGfQoEHo2rUrdu7cidDQUIwcORIHDx4U9u/Zswf9+vXD66+/jl27dmHq1KlYsWIF3n//fcGnsLAQYWFh2LhxIz799FMcOHAAUVFRoqYsoCgR/Pe//40FCxZg7dq1uH37tqic9evXY+bMmUIMP/74IwICApCdnV2q1vz8fMTFxaF9+/ZG+4gI2dnZ0Gg0SEpKwieffILatWvj3XffFfm1a9cO6enpuHTpUqnnqXSIUaWo1WoCQGq1ulSf9Ec6unwwjlJ//ZIenNpFD07HUMaxSKJdINoFSvs1ih6cjqFrB/ZS9q0DRCmHiO58X/RffY2I51+horLR6/WUlJREer2+qkOpEph+pv9l9Ofn59P169cpPz/faF9hAf/cfzrd088Hna7Ipinkn7vc8sLzPBUUFBDP8xQUFEQdO3YU7Z85cyYBoDVr1hARUXZ2Njk4ONC0adNEfsuXLydbW1tKT08nIqLMzEzRcabQ6XSUl5dHDg4OtHLlSsEeHBxMPXv2FPlevHiRAFBsbKxgA0D//ve/n3mcKYprKK6/pIY1a9YQAJo5c6bo+E6dOlGbNm2E7RYtWlDbtm1FPitXriQAdOXKFSIi+uGHHwgAxcXFlRpXcHAw2dvbU2pqqmAzxPDgwQMiIvr4448pMDCwTI3FiYuLIwB09uxZo308z9OgQYMM0x9T/fr16ebNm0Z+Wq2WpFIpfffdd8917me9P4iKnoH4+HjS6XRllsX6IFkQvEQFcDYAIAzvz1O0R4Hi71ECxSuKOAB2voBDw1caY3mQSCTw8TGfKQdeNUw/019Z+mePKv1XfWm897Ed/FsXfa5cP6/Dz9/nwbeJFKOmOQg+Cyc/Qe6TZ3cqnr/OuVzn4zgOCoUCer0e58+fx8KFC0X7+/Xrhy+//FLYjouLQ05ODvr37y+qdevSpQvy8/Nx9epVBAcHl3q+06dPY+bMmbhw4YKo1qhkM1tlUlyDXq+HVCqFXq8vVUPJ2pSIiAhMmTIFer0e+fn5uHTpkmg0HQAMHDgQo0ePxu+//w5/f38cPXoUfn5+aNu27TNjCwgIQI0aNYTt119/HUBRzZu3tzcCAwOxbNkyTJo0CX379kVQUBBsbGyeWeZff/0FAKJyDXAch3nz5mHSpEm4f/8+Fi9ejC5duuD3339HnTp1BD+ZTAaVSiWUVRWwJjYLQKsBpHgCoGiZkU2bA5CXcqNoW2L3t52EJUjA68xq5uyS6HQ6nDhxwmqbGJh+pt+a9RMRnjx5gtTUVOh0Onh4eIj2e3p6irYNTUKBgYGwsbER/ho2LPrx9+DBg1LPdf/+fYSHh0Ov12PlypU4efIkzp49Cw8PD6P+OpXJ82owdU20Wi3S09ORlZUFIjK6Ts7OzlAoFEIS+PjxY9SsWbPM2EpOhyCXF00jY7g+w4YNwzfffINDhw6hY8eOqFGjBsaPH4/8/PxSyzQcq1AYd/8gIri7u+PNN99EREQEDh06BL1eb5QoG45/1nkqG1aDZClocwDokZ9vg4wMe2RlOaCmHSDhi34x6rSAjRyQSADo1IC8BiBzrNKQS0MikaB+/fqQSKwzP2f6mf7K0j/nB6fnPqb43Gmvt5Rhzg9ORssVTV1UsZ8lCoUCtra2kMlkwuKiBlJSUkTbrq6uAIo6JdeuXduoLF9f31LPc/DgQeTk5GDHjh1CIqDT6Yz6HymVSqNOwpmZmeXWUxbFNXh7e0On00EmkwkdlUtqSE1NRa1atYTtlJQU2NjYwN3dHfn5+eA4zui6qdVqFBYWCudyc3PDlStXXjp2iUSC8ePHY/z48Xj48CE2b96Mzz77DO7u7kI/r9L0ZmVl4bXXXjPaXzxxsrOzg5+fn8nO+VlZWVW63qB1fkJZGhwgtSHwnCNkMh5t2yZBpcoFAOQrgp66cRzkhlFsnA2g8DRVWpUjkUhQq1Ytq/6CZPqZ/srQL1dwz/1XNEK2CKm0yGYj55673PLCcRzkcjlkMhkCAwOxc+dO0f7o6GjRdtu2bWFnZ4fk5GS8+eabRn/P+gI1JBPFm4S2bt1qVHvn7e2NmzdviuYmOnz4cJla5HJ5uWqiimto1aoV2rZti1atWpWqoeQ12b59O1q2bAmpVAoHBwcEBAQYXaetW7cCADp06ACgqAnyxo0bOHPmTJnxlZdatWph8uTJaNasGW7cuFGqX+PGjQHA5Eg3w/03JIfZ2dm4cuUK6tWrJ/JLS0tDXl6eUFZVwGqQLIFiTf9yuR6BLR7CNSMH0EDokyT2J0BiXiPXimNoYujUqZPREFBrgOln+q1Zv6GJzdHREdOnT0fv3r0xfPhwDBo0COfPn8dPP/0k8lepVPjiiy8wdepUJCcnIyQkBFKpFHfv3sXu3buxffv2UhfuDQsLA1A0geTo0aNx7do1LFq0yKhZqV+/fli1ahUiIyPRp08fxMXFGSUgpvDz88O6deuwd+9eeHl5oWbNmiabtYprePDgAYKCguDg4IDExESTGtavXw9bW1sEBgZi8+bNOHHiBGJiYoT9UVFR6NOnD95//328//77uHnzJj7//HNERETA398fADBkyBAsW7YMPXv2xOzZs9G0aVM8fPgQJ06cwA8//FCmNgOjR4+Gi4sL2rRpAxcXF5w8eRKXL1/G2LFjSz3G19cXXl5eOH/+PLp37y6KOysrC4GBgahTpw7u3buHJUuWoLCwEBMmTBCVce7cOQBPE74q4bm6hzMqnPKMYvvrvo5uHIymP39fTQ9Ox9CD0zGUv78Z0S5QeuxUenA6hu6e2Ee3ju0jbfJBovsbiZK3mN3oNQN6vZ5SUlKsehQT08/0V8YoNkuA53nSaDTE//35tGLFCqpduzYplUoKDg6mM2fOmByNtmnTJmrVqhXZ2tqSk5MTtWjRgmbOnElarZaISh/Ftn79eqpXrx4plUpq06YN/e9//yMfHx/6+OOPRX4LFy6k2rVrk729PfXv35+OHDlS5ii25ORk6tGjB6lUKgJAs2fPfqb2sjQYRpDFxcVRcHAwKZVKqlOnDv3www9GZUVHR1OzZs1ILpfTa6+9RhMmTDB6JjIyMuijjz6i1157jeRyOdWrV4+mT58u7C/P6L21a9dS+/btydXVlZRKJb3++uu0ZMmSZ+okIoqMjKR27dqJbLt376bg4GByc3MjhUJB9erVo2HDhtGdO3dMHl9yhGN5qMhRbBxRNZ/v3MzJzs6Gs7Mz1Go1nJxM9x/4674eWdd3QuX4BAXkhYwMOzTGJ3CgeDxWfY58ZXtoNAReD9RtKIOMfwxIZECtAa9YDYPBqGwKCgqQmJgIX19fKJXKqg6HUYGsXbsWw4cPR1paGtzd3as6nJfiypUraNGiBe7evfvcozZ1Oh3q1KmDBQsW4IMPPniuY8t6f+j1ety4cQN+fn5lTtZqnZ0ALBDu73a21FQHRG9vDgeKBwCQ4RaK0lz+1Qb3nGi1Whw6dAharbaqQ6kSmH6m35r18zwPtVoNnjfvz6nKwlr0N2vWDO+88w6+/fZbkb08+n/++Wc4ODgIS49UFSxBsgCepKshoaKhjrf+qIHXnK4K+4grypBznxAkUoDj8wDNY9N9k8wEqVSKVq1aWe1SC0w/02/N+jmOg729vdWuRWdN+hcuXGjUJ6s8+iUSCVavXl3lffRYgmQB8LpCyLhc8JKiidic7R4K+wrlTQEAUingpJJAKtECcnfAtV2VxFoeJBIJXF1drXoUE9PP9Furfo7jREPcrY1n6R82bJgwT1B1oGHDhpgyZYrIVp77//7771dt5+y/sc53qIXBcUW1Q8RJUVggg1xaNMS/0Kbp05oiDlDaFnvg5C5VEGn50Gq1iImJsdomBqaf6bdm/TzPIysrq9o3MZUG0285+lmCZObodQRoUiFB0YrPd+66462mUQAA4opmPC3Mp6JR/aQH8pIAzryr7mUyGTp27Fjl1adVBdPP9Fuzfo7j4OjoaNU1SEy/ZehnCZKZo9UAukIdbCRqgLOBRMJDoytaI0kvLaqG1WoJdo4SKBXaohm0HZsAEnlVhv1MOI6Dk5OTRbxBKgOmn+m3dv1SqZTpZ/qrOpQyYQmShUDSoqn+iThIJEVV87m2YcJ+uRyQGfpl25U+9b45oNVqsXv3bqttYmD6mX5r1m9JTSyVAdNvOfpZgmQxFI3jJ+Ig5QwfrMWa0sw/GReQyWQIDw+32iYGpp/pt2b9rAaN6bcU/SxBMnOKpvEkgONgmNJTIilaR4i40j5gzf/Bs9YvBwNMP9PPYDDMG5YgWRA8X5T4SDnDQoslOmNTUSJl7uh0Ouzfv99owUhrgeln+q1ZPxEhOzsb1rqIA9NvOfpZgmQBSFAAgIQaJCfbRwAAKrnWMFlGnwaZTIYePXpY7a9opp/pt2b9xZtYdu3ahWXLllV1SKWya9cucByHpKSkCivzVTQxJSUlgeO4ci24+6K0bt0a33//vbB97tw5DB8+HH5+fpBIJOjVq5fJ48rSn5OTA29vb3AcJyxYCwBPnjyBq6srTp48WbFCngFLkCwAjgrAkRZEHOSyJ4KdlziKHbVZgMzJrEewGbDWX88GmH6mnwGzT5AYptm5cyeSkpIwYsQIwXby5En89ttvCAwMRJ06dV647C+//NLk+8PR0RGRkZH4/PPPX7js54UlSBYAAeA5B0gkhJbNbwt2XvJ0MkjO0O9I4QFIzXsBS51Oh8OHD1vtlwTTz/Rbs35LamKpDKqD/sWLF2Pw4MGwtbUVbJGRkbh9+zY2btyIunXrlnrss/QnJCTg+++/x5w5c0weO2LECJw4cQKXL19+aQ3lgSVIFgAHDQBAKiUEtbgIAOA526f9jQzPGa+BJXTQtrGxQe/evWFjY77rxVUmTD/Tb836JRIJVCoVRowYgXXr1uHatWvgOA4cx2HYsGEAgJCQEKMmmkuXLoHjOBw/flywcRyHhQsXIioqCp6ennB3d8fw4cORm5srOjY5ORnvv/8+3N3dYWtri06dOuH8+fMiH61WiwkTJsDV1RXOzs4YOXIkcnJyyqUpKysLY8eOhZeXFxQKBVq2bInDhw+LfAyaNmzYgJYtW8Le3h4hISG4efOmyK+goACTJk1CzZo1oVQqERAQgJ07dxqd89SpUwgPD4eTkxMcHR0RFBSEX375xaisTz75BC4uLvDy8sKUKVNEiXlycjIGDBgAT09PKJVK+Pr6YuLEic/UmpiYiN9++w39+vUT2cu7dI7h/pvyj4yMxJgxY9C4cWOTx/r4+KB169ZYu3Ztuc71slhnI7glwWsg5bNhyILs848AADjSi9wk+syiGbQl5v+hS0R48uSJxcymWtEw/Uy/tevneR4zZsxAWloaEhISsHHjRgBAjRo1nru87777Dh07dsS6detw69YtfPrpp/D09MSCBQsAAJmZmejQoQMcHBywdOlSODs7Y+nSpQgLC8Mff/wBDw8PAMC0adOwbNkyzJkzB4GBgdi0aRM+++yzMs+v0WjQtWtXpKSk4KuvvkKtWrWwYcMG9OzZExcuXIC/v7/ge+HCBdy5cwfz5s0Dx3GYOXMmunXrhps3b0KhUAAA/vGPf+DgwYP46quv0KRJE6xfvx4RERHYtWsX3nnnHQBFzVlhYWFo06YNfvzxR6hUKpw7dw73798XxTZ9+nT07t0bW7duRVxcHKKiotCgQQOMGTMGAPDBBx/gzz//xJIlS+Dp6Yn79++L+v2Y4ujRo5DJZGjdunU575AYw/2XSCSi5z86Ohrx8fHYvn07Lly4UOrx7dq1M0oEKw1iVClqtZoAkFqtNrk/T51Dtw//SPd/20j34mIoY293ol2g/P3N6cHpGHpwOoZuHNpLqWfWEyVvIdIXvmIFz49Go6F9+/aRRqOp6lCqBKaf6X8Z/fn5+XT9+nXKz89/auR5Im1O1f/xfJnx6/V6yszMJL1eT0OHDqU33njDyCc4OJh69uwpsl28eJEAUGxsrGADQK1btxb5DR06lOrXry9sz5o1i5ydnSklJUWwFRQUUJ06dejTTz8lIqLHjx+Tra0tzZw5U1RWp06dCAAlJiaWqmf16tUkk8no2rVrIntQUBD1799fpEkikVBCQoKg/48//iCJREIrVqwgIqLLly8TAGHbQNu2bSkwMFDYbteuHb3++uuk0+lMxpSYmEgAROc3xNC5c2dh297enpYsWVKqNlOMGjXK5D0reZ6S989A8ftvIDc3l2rXrk2rVq0iIqLY2FgCQGfPnjU6fs2aNcRxHGVnZ5ss3+T7oxg6nY7i4+NLvXbFYTVIZs/fE0RCivx8G0gfP4SLCihQlMjeOQIgsYgO2jY2NujZs2dVh1FlMP1Mf4Xr1+cBMQ4VW+aL0DMHkNk/08XQxFJRdO3aVbT9+uuvY/PmzcL24cOHERoaCldXV6F5SSqVIjg4GGfPngUAxMfHIz8/H++++66orIiICJw4ceKZ5z98+DD8/f3RqFEjUfNV165dsWHDBpFv06ZNRc1HDRo0QPPmzXHmzBmMHj0av/32GwCgf//+ouMGDhyIiRMnIjc3FxzH4fTp05g/fz6k0mevuxkeHm50bY4dOyZsBwYG4j//+Q9kMhm6du2KBg0aPLM8APjrr79eqKYPAPR6PYgIDg4O4HleaFqdO3cuPD09MXz48DLLcHd3BxEhJSUFjo6OZfq/DKwPkpmjf5IMCa8FwEGieYhaqisAAOKedsTmCzIh0aeZ/SK1BnieR0ZGhkVMNV8ZMP1MvzXrJyLodLoK66RcMtmSy+UoLCwUttPT07Fr1y7Y2NiI/n766Sc8ePAAQNGXPgChuc2Ap6dnmedPT0/HxYsXjcqfO3euUL4BDw8PI/2enp7C+TMzM2FjYwNXV1ejOIgIWVlZyMzMBM/zqFmz5gtdm4KCAmF7y5Yt6Ny5M6ZPn46GDRuiSZMm2LFjxzPLLCgoEJoDn5fOnTuLrtGvv/6Ke/fuYdGiRZgzZw7UajWysrKEvl85OTlG/cAM587Pz3+hGJ4HVoNk7pAGEv4xOKk3XOwSgL/f9/nFapDksnzAth7g2q6Kgnw+9Ho9zp49i7CwsHJ37KtOMP1Mf4Xrl9oV1d5UNVK7Ml2ICLm5uc/89a9UKqHRaES2zMzMFwrJ1dUVb731Fr788kujfYYvWy8vLwBAamoqatWqJexPSUkpV/nNmjXDqlWryvRNTU0V6ec4DikpKQgICBDK0mq1yMzMhIvL01HKKSkp4DhOSHgkEgn+/PPPMs9XFl5eXli9ejV+/PFHnD9/HnPnzsXAgQNx8+ZN1KtXr1S9Lzov1MqVK6FWq5GXlwc7Ozv4+fnh/Pnz0Gg0JmtVQ0NDERQUhNOnTwu2rKwsAICbm9sLxfA8sATJAtBzDpBwHEBFvzg1No3AS4v9wuAAmVIJKMv+tWMO2NjYoFu3blUdRpXB9DP9Fa6f48ps2jIXJBIJnJ2dARjXaBjw9vbGL7/8AiISOvKWHBVWXrp06YINGzbAz88P9vamr5G/vz9sbW2xc+dOtGjRQrBv3769XOXv378fNWvWLLNW5+rVq7h7967QlHX79m1cvnwZo0ePBgB06NABALBt2zaMGjVKOG7btm1o0aKFEH/btm2xfv16TJ48ucxmtvIgkUjQqlUrzJ07F3v27MHt27dLTZAaN26M2NjYFzqPqdFpAQEBRuVdunQJEydOxIoVK9CqVSvRvqSkJDg7O+O11157oRieB5YgWRRFI9fIRMuoJY2G4Xke6enpcHd3t8oaBKaf6bdm/YYmJplMBj8/P6xevRqbNm1Cw4YN4e7ujrp166Jfv35YtWoVIiMj0adPH8TFxb3wrNCTJk3Cxo0bERwcjPHjx6NOnTpIS0vDmTNnULNmTUycOBGurq4YM2YMFixYAFtbW2EU2507d8os/4MPPsDKlSsREhKCKVOmoFGjRsjKysLFixeh0Wgwf/58wdfT0xNvv/02Zs2aBalUilmzZqFWrVrC9AbNmjVD3759MWnSJOTn56Nx48bYsGED4uLisHv3bqGcBQsWICwsDF26dMHYsWPh4uKCCxcuwN3dXTR547NQq9Xo1q0bhgwZgsaNG0Oj0WDp0qVQqVQIDAws9bj27dvjiy++QHJyMry9vQV7Wloafv31V+F1Tk6OcM969OgBO7ui2sXi999QKxYSEmLyXC1btjSK5dy5c2jXrt0ree9Y37vT4njaTp+dXTSEPzNL3BmTw98dtC0Enudx9epVq+2DwfQz/dasH3jaf2TkyJHo378/IiMj0apVK0RFRQEA3nrrLSxcuBB79uxBnz59cPXqVaxYseKFzuXm5obTp08jICAA//rXvxAeHo6JEyciKSkJQUFBgt+CBQswZswYLFy4EAMGDBBsZaFQKHDs2DH06tULX331FcLDwzF27FicO3dOqBEyEBgYiE8//RSfffYZPvjgA3h6euLQoUOiPj0bNmzAhx9+iAULFqB3796Ij49HdHQ03n77bcGnQ4cOOH78uDB3VN++fbFz5074+PiU+7oolUr4+/tj6dKleOeddzBkyBDwPI/Dhw/D3d291ONCQkLg5uaGAwcOiOzXrl1D//790b9/f1y/fh3nz58XtlNTU0W+L9p/SKvV4siRI0ZzMFUWHFVUTznGC5GdnQ1nZ2eo1Wo4OTkZ7c9JvozUq8dho2qA/D/Po5F0Nu5ntYWkyQzBpyDjATzq+8KpUbjR8QwGo3pRUFCAxMRE+Pr6Qqk071nzGU8JCQmBg4MD9u3bV9WhvDSTJ0/GxYsXRSPiXgUxMTF477338PDhQzg4mB61Wdb7Q6/X48aNG/Dz8yuzedJyqh2slKKZPgwzZvN/2yz7tvE8j4cPH1rtL2imn+m3Zv1EBI1GY9FLbbwM1UH/lClTcObMmRda8uNl9C9atAiTJ08uNTmqaCz7m9Zq+PtBMiRIprqOWU4XJPA8jzt37ljtFwTTz/Rbs34AomH41oil6/fy8sLatWuRlpb2Qse/iP6cnBwEBweXuRRKRcI6aZs9RckRx3EgmK5B4izsh4hMJkOnTp2qOowqg+ln+q1ZP8dxlT7BnzlSfA256qC/5GSW5eVF77+DgwNmz579Qud8UVgNkplD2qeZto0m6e9XT28bTwSQeGFGc4fnedy7d89qf0Ez/Uy/NesnIhQWFlp0E9PLwPRbjn6WIJk5mpw0kF4LALBD0arPUkmesL8wNxc2ChkkUvNfpNaAtffBYPqZfmvWDxSNRrJmmH7L0M+a2MwcCacHLy0a3WZYOi9d0wnChPjEQ6pwhEPtllUT4Asgk8nQrp1lzPpdGTD9TH9F6LeEX+Cm4DjulXWyNUeY/srVX5HvC1aDZOYQ/3SOI0ebpCJb8RmzCZBKAXCWk+vq9Xrcvn0ber2+qkOpEph+pv9l9NvYFNUW5+XlleFpnhARCgoKLDbBe1mY/srVb3hfGN4nL4PlfKtaI8RDpykA/d1R20HxCADAcU/zWirMBBydAM5ycl0iQmZmJurWrVvVoVQJTD/T/zL6pVIpVCqVMPmenZ2dRc2kT0TIz88XLSNiTTD9laOfiJCXl4fU1FSoVKoKWYKFJUjmDPGQQA9CUSacr3WGrY0aemkNwUUiAWRKB0BqORPGyWQyo/V1rAmmn+l/Wf2GdahKzlDMYFg7KpWqwtZpYwmSmUPgIfk7E+b+HuavsC3mwAESpWUsUmlAr9fjjz/+QMOGDSsky7c0mH6m/2X1cxwHLy8veHh4WEyHVwN6vR737t2Dj4+P1d5/pr9y9NvY2FRomWaZICUkJCAyMhJxcXFwdHTEBx98gLlz50Iulz/zOLVajU8//RQ7duxAXl4eWrdujcWLFyMgIMDIb9KkSdi5cye0Wi26deuGpUuXwsvLS+QXFxeHyZMn49KlS/Dw8MDYsWMxdepUUbUgEeHrr7/GsmXLkJaWhoCAAHzzzTdo06ZNhVyLYqP8wXFFCZJUxgnn5vmihbwtjRddi6e6wPQz/RWBVCq1uC9ZvV6PwsJCKJVKi4u9ImD6LUe/2XVcyczMRFhYGDQaDXbs2IF58+bhhx9+wKRJk8o8dvDgwdi1axcWLlyIbdu2QSaTISwsDA8ePBD5DRw4EIcPH8aKFSuwceNG3Lx5E927d4dOpxN8bt++jW7dusHLywv79u3DhAkTMGvWLCxatEhU1tdff43Zs2dj4sSJ2LdvH7y8vBAeHo67d+9WwNWg4mvVwkZW9EvRwaEoTp4HbGSAVGJZGZJUKkWLFi3M/s1RWTD9TD/Tz/Qz/Ragn8yMefPmkb29PT1+/FiwrVy5kqRSKT18+LDU406dOkUAaM+ePYItNzeXPDw8aNy4cYItLi6OANChQ4cEW0JCAnEcR1u2bBFso0aNIh8fHyosLBRs06ZNI5VKRQUFBURElJ+fT05OTjRt2jTBp7CwkHx8fOijjz4ql161Wk0ASK1WG+/Ua+jBifV0+5f19OB0DPG7pES7QA9PrqMHp2Mo6eQ+untwGeXdO1auc5kLOp2O4uPjSafTVXUoVQLTz/Qz/Uw/0181+p/n/GZXg3TgwAF06dIFrq6ugm3AgAHgeR6HDx8u9biLFy+C4zh07dpVsNnZ2aFjx47Yu3evqHyVSiXya9y4MQICArB//36RX58+fUTNeoMGDUJWVhZOnToFoKgJLjs7GwMGDBB85HI5+vbtKyrrZRDPJWfYKLpt/N+jhC2r/ojBYDAYDPPH7BKkhIQENGnSRGRTqVTw8vJCQkJCqccVFBRAIpFAJhN3q1IoFEhKShLa/BMSEtC4cWOj4YV+fn5C+bm5uXjw4IFRHE2aNAHHcYKf4X9JPz8/P9y/f/+l+xno9QSeJwAc8nJl4AztbVxR1SSvJ0htOMhsLCtFkkqlaNq0qWVUsVYCTD/Tz/Qz/Uy/+es3u07amZmZUKlURnYXFxdkZGSUelzDhg2h1+tx4cIFtG7dGkDRlP5nz54FESErKwu2trblKj8rKwsAjPzkcjns7OwEv8zMTCgUCiiV4iH2Li4uwlwntra2on2FhYWilYzVarVQFgBh8jipVApNfj7UT/IhkUjw+EkBDAMXs57kg6QyaAsIEn0BHHNzIM3Ohk6ng0QigUQigVarhVQqFV7LZDJwHCe8BgCdTid6bWNjAyISXvM8D71eL7zmeR4ymazU13q9HkQkvDboKPlar9fjxo0b8PPzEzqZFo+9tNfmrMnwWqfTgeO4Z2oqLCzEjRs34O/vD57nq4Wm57lPer0e8fHx8Pf3F8q0dE3Pc58kEgni4+Ph5+cHhUJRLTQ9z30y9f63dE3Pc580Gg2uX78Of39/EFG10PQ894mIcOXKFTRt2hQ2NjavXBPHccjJySnXRJVmlyC9KOHh4ahfvz7GjBmD9evXw8PDAwsWLBA6S5vLhFzz58/HnDlzjOzPN2ncyAqLh8FgMBgMayMjIwMuLi7P9DG7BMnFxUWoVSlOZmamqF9SSeRyObZs2YLBgwfD398fAODv748JEyZgyZIlcHNzE8ovOaqtZPmGmqOScWg0GuTl5Ql+Li4uKCwsREFBgagWKTMzExzHmbz406ZNE43I43keGRkZcHNzM5skrrLJzs5G7dq18eDBAzg5OVV1OK8cpp/pZ/qZfqa/avQTEXieh7Ozc5m+ZpcgNWnSxKivkVqtxl9//WXU16ckLVu2xM2bN3H79m0QERo2bIhPPvkELVu2FNZladKkCY4cOWI0zXlCQoKQWNnb26N27dpGcdy8eRNEJMRh+H/z5k00b95cVFadOnWMmteAoj5RCoVCZDPV5GcNODk5WeUHhAGmn+ln+pl+a8US9JtdJ+3u3bvjyJEjQj8gANi2bRskEgnCw8PLPJ7jODRs2BCNGjVCeno6tmzZgg8//FBUfmZmJo4ePSrYbt26hYsXL6JHjx4iv927d4tmqd2yZQtUKpWwEne7du3g5OSEbdu2CT5arRY7duwQlcVgMBgMBsPCqLDJBSqIjIwM8vLyouDgYDp06BCtXr2aVCoVffzxxyK/sLAwql+/vsg2d+5c2rx5M8XGxtKKFSuoTp06FB4eTnq9XuTXrVs3ql27Nm3dupX27NlD/v7+1Lx5c9JqtYLPH3/8Qfb29hQREUFHjx6lxYsXk1wup3//+9+isubPn08KhYIWL15MR48epYiICHJ0dKQ7d+5U8JWpPjxz7icrgOln+pl+pp/pN3/9ZpcgERFdv36dOnfuTLa2tuTh4UFTpkwRTdhIRBQcHEw+Pj4i2+TJk8nb25vkcjn5+PjQ9OnTKT8/36j8rKwsGjFiBKlUKnJwcKC+ffuanITy5MmTFBQURAqFgry9vWn+/PnE87zIh+d5mjdvHnl7e5NCoaCgoCCKi4t7+YtQjSkoKKDZs2cLE25aG0w/08/0M/1Mv/nr54jKMdaNwWAwGAwGw4owuz5IDAaDwWAwGFUNS5AYDAaDwWAwSsASJEalsG3bNvTu3Rve3t6wt7dHQEAAVq9ebTR76apVq9CoUSMolUo0b94c+/btq6KIK4+cnBx4e3uD4zicO3dOtK+661+3bh1atGgBpVIJd3d3dO/eXbQEz969e9G8eXMolUo0atQIa9asqcJoK449e/YgKCgIjo6O8PLywoABA4RJa4tTHe7/7du3MWbMGAQEBEAmk6Fp06Ym/cqjVa1WY+TIkXB1dYWjoyP69euHv/76q7IlvBRl6c/OzkZUVBRat24NlUoFT09PvP3224iPjzcqqzrqL8muXbvAcZxJP7PTX8V9oBjVlDZt2tCgQYNo8+bNdPToUfrss89IIpFQVFSU4LNp0ybiOI5mzJhBx44do9GjR5NMJqNTp05VYeQVz9SpU8nT05MA0NmzZwV7ddc/d+5ccnR0pPnz59Px48cpOjqaPvroI3ry5AkREf32228klUpp9OjRdOzYMZoxYwZxHEfbtm2r4shfjtjYWJJIJDRs2DD65ZdfaPPmzdSoUSOqX78+5eXlCX7V5f7v2rWLvL29KSIigvz9/emNN94w8imv1m7dupG3tzdt2bKFdu/eTU2bNjUaYWxulKU/Pj6eXnvtNZo+fTodOnSIdu/eTR07diQ7Ozu6fv26yLc66i9OXl4e1a1blzw9PU36mZt+liAxKoW0tDQj24cffkhOTk7CtAuNGjWiwYMHi3zatm1L3bt3fyUxvgpu3LhB9vb2tGLFCqMEqTrrT0hIIJlMRvv37y/VJzw8nNq1ayeyDR48mPz8/Co7vEpl9OjR5OvrKxrxeuzYMQJAJ06cEGzV5f4Xn0Zl6NChJr/4yqM1Li6OANChQ4cEW0JCAnEcR1u2bKmEyCuGsvTn5ORQbm6uyPbkyRNydXWlTz75RLBVV/3FmTlzJnXq1MmknznqZ01sjErB3d3dyNaiRQtkZ2cjNzcXd+/exa1btzBgwACRz6BBg3D06FHRgr6WTGRkJMaMGYPGjRuL7NVd/5o1a+Dr64vu3bub3F9YWIjY2Fj0799fZB80aBBu3LiBpKSkVxBl5aDVauHo6Ciaqd+wrAH93cRcne6/RPLsr5Hyaj1w4ABUKhW6du0q+DRu3BgBAQHYv39/xQdeQZSl397eHnZ2diKbg4MDGjRogD///FOwVVf9Bu7cuYNFixZhyZIlJvebo36WIDFeGb///jtq1aoFR0dHYRmXksvH+Pn5QaPRIDExsSpCrFCio6MRHx+PWbNmGe2r7vpPnz4Nf39/zJ07Fx4eHpDL5Wjfvj3OnDkDoOjDUqvVmtQPwGiZH0ti2LBhuH79OpYtWwa1Wo27d+/i888/R4sWLdC+fXsA1f/+F6e8WhMSEtC4cWOjNSn9/Pws+nkwRVZWFq5evSo870D11z9+/Hh88MEHomW5imOO+s1uLTZG9eT333/H5s2bsWjRIgBFC/oCxuvQGRb4zcjIeKXxVTR5eXmYNGkS5s2bZ3K9oequ/9GjRzh//jzi4+OxbNky2NnZYd68eQgPD8cff/xRrfV37NgRO3fuxHvvvYePP/4YABAQEICDBw9CKpUCqP73vzjl1ZqZmWlyXUoXF5dqdT0AYOrUqeA4DmPGjBFs1Vn/3r17ERcXh1u3bpXqY476WQ0So9JJTk7GwIEDERoainHjxlV1OK+EuXPnwtPTE8OHD6/qUKoEnueRk5OD6Oho9OvXDz169MCePXtARPjuu++qOrxKJS4uDkOGDMGHH36IY8eOYdu2beB5Hj179hSN4GNYJ2vWrMH//d//4fvvv4e3t3dVh1PpFBQUYMKECZgzZ47JrhfmDEuQGJVKVlYWunfvDjc3N2zfvl1orzb8elSr1SJ/w69NV1fXVxtoBXLv3j0sWrQIc+bMgVqtRlZWFnJycgAUDfnPycmp1vqBovvr5uaGZs2aCTZXV1e0aNEC165dq9b6x40bh7CwMCxatAihoaHo168fYmJicOHCBfz0008AqvfzX5LyanVxcTHyMfhVl+tx4MABjBo1CjNnzsTQoUNF+6qr/sWLF0MikWDw4MHIyspCVlYWNBoNeJ4XXgPmqZ8lSIxKIz8/H7169YJarcaBAweEjqrA0/4IJduWExISIJfLUa9evVcaa0WSmJgIjUaDnj17wsXFBS4uLnj77bcBAKGhoejSpUu11g8Ab7zxRqn7CgoKUL9+fdjY2JjUDxj3V7Ekrl+/joCAAJHN29sb7u7uuHPnDoDq/fyXpLxamzRpgps3bxrNlZaQkGDRz4OB06dPo1+/fhg6dCi++OILo/3VVX9CQgJu376NGjVqCJ+HmzZtwo0bN+Di4oLVq1cDME/9LEFiVAo6nQ4DBgzAjRs3cPDgQdSqVUu0v169emjUqBG2bdsmsm/ZsgWdO3eGXC5/leFWKAEBAYiNjRX9ffPNNwCAFStWYNmyZdVaPwD06tULjx8/xqVLlwTb48ePceHCBbRs2RIKhQKhoaGIjo4WHbdlyxb4+fmhbt26rzbgCsTHxwcXLlwQ2e7du4f09HRBV3W//8Upr9bu3bsjMzMTR48eFXxu3bqFixcvokePHq805orm+vXr6NmzJ8LCwrBixQqTPtVV/2effWb0editWzfUrVsXsbGxeOeddwCYqf4qmVyAUe358MMPCQAtWrSITp06JfozrOL8888/E8dxNGvWLIqNjaUxY8aQTCajuLi4Ko6+4omNjTWaB6k669fr9dSqVSuqX78+bd68mXbv3k1t2rQhNzc3+uuvv4jo6USRH330EcXGxtKsWbOI4zjaunVrFUf/cixevJgA0Lhx44SJIps2bUqenp6Unp4u+FWX+5+bm0vbtm2jbdu2UUhICNWuXVvYTk1NJaLya+3WrRvVrl2btm7dSnv27CF/f3+znyixLP0pKSnk7e1NtWrVoqNHj4o+C69duyYqqzrqN0Vp8yWZm36WIDEqBR8fHwJg8i8xMVHw+/HHH6lBgwYkl8vJ39+f9u7dW3VBVyKmEiSi6q0/LS2N3n//fXJ2diZbW1sKDw83+kLYvXs3+fv7k1wupwYNGtCqVauqKNqKg+d5Wr58OTVr1ozs7e3ptddeo3fffZdu3Lhh5Fsd7n9iYmKp7/XY2FjBrzxas7KyaMSIEaRSqcjBwYH69u1LDx8+fIVqnp+y9Bve+6b+goODRWVVR/2mKC1BMjf9HFGJBj8Gg8FgMBgMK4f1QWIwGAwGg8EoAUuQGAwGg8FgMErAEiQGg8FgMBiMErAEicFgMBgMBqMELEFiMBgMBoPBKAFLkBgMBoPBYDBKwBIkBoPBYDAYjBKwBInBYDAYDAajBCxBYjAYFQbHcQgJCanqMEwybNgwcByHpKSklyqnbt26Fr1WnDkRFRUFjuNw/Pjxqg6FwTCCJUgMhgVx/PhxcByHqKioCimvopKGF2Ht2rXgOA5r16595edmMBiMsmAJEoPBsArmz5+PGzduoFatWi9VztGjR0UrjjMYjOqJrKoDYDAYjFeBl5cXvLy8Xrqc+vXrV0A0DAbD3GE1SAyGhRAVFYXQ0FAAwJw5c8BxnPBXvIksPT0dEyZMgK+vLxQKBTw8PDBgwABcvXpVVF7dunWxbt06AICvr69QVvE+RDt37sTgwYPRoEED2NnZwdnZGR07dsT27dtfSsuwYcMwfPhwAMDw4cNFWgyEhISA4zgUFBRgxowZqF+/PmxsbITmxVu3bmHq1KkIDAyEm5sblEolGjVqhM8++ww5OTkmz1nyWhVvsjx37hy6du0KR0dHODs749133zXZ9GiqD1LxvjQ///wzAgICYGtrCy8vL4wfPx75+flG5eh0OsyfPx/169eHUqlEgwYNMH/+fNy9exccx2HYsGHlvp4ajQb//e9/ERgYCHt7ezg6OqJjx47Ys2dPqdfh7t27WLhwIRo2bAilUglfX1988cUX0Gq1Js+xZs0aBAUFwcHBAQ4ODggKCnpm8+iJEyfQp08feHp6QqFQoHbt2ujbty9+//13k/7lvW7bt29HcHAwPDw8oFQqUbNmTXTp0uWln0kGoySsBonBsBBCQkKQlJSEdevWITg4WJTIqFQqAEBaWhratm2LO3fuICQkBIMGDUJiYiKio6MRExODQ4cOoUOHDgCACRMmYO3atbh8+TLGjx8vlFH8y3/atGmQy+Xo0KEDvLy8kJaWhj179qBfv35YsmQJIiMjX0hLnz59kJWVhd27d6N3794ICAgo1TciIgKXL1/GW2+9BZVKBV9fXwDAjh07sGrVKoSGhiIkJAQ8z+P06dP4+uuv8euvv+LEiROwsbEpVzxnz57FwoULERoaitGjR+PixYvYtWsX4uPjcfXqVSiVynKV89133+HgwYPo3bs3wsLCcPDgQSxZsgTp6enYuHGjyHfEiBH46aefUK9ePXz88ccoLCzEN998g1OnTpXrXAYKCwvx1ltv4fjx4wgICMDIkSOh1WoRExOD3r17Y+nSpfjkk0+MjpswYQJOnjyJAQMGwMHBAXv37sXs2bNx5coVREdHi3zHjRuHpUuXolatWhg5ciSAokRl+PDhuHjxIr799luR/7fffouJEyfC1tYW7777LurUqYOHDx/i999/R3R0tPAMPu91W758OcaOHQsvLy+8++67cHNzw6NHj/C///0PO3fuRERExHNdOwbjmRCDwbAYYmNjCQDNnj3b5P7hw4cTAJo2bZrIHhMTQwCoQYMGpNfrBfvQoUMJACUmJpos786dO0a2J0+ekL+/Pzk7O1Nubq5oHwAKDg4ul5Y1a9YQAFqzZo3J/cHBwQSAAgIC6PHjx0b7k5OTqbCw0Mg+Z84cAkAbNmwQ2U1pNVxPALR582aR/5AhQwgAbdq0SWT38fEhHx8fkW327NkEgJydnSkhIUGw5+XlUaNGjUgikdDDhw8F+5EjRwRtxa/hn3/+SZ6engSAhg4davK6lOTzzz8nADRz5kzieV6wZ2dn05tvvklyuVx0bsN1qFGjBj148ECwFxYWUqdOnQgARUdHC/Zff/2VAJCfnx9lZWUJ9oyMDGrUqBEBoBMnTgj2S5cukUQioZo1axo9VzzPi2J53usWGBhIcrmcUlJSjK5Denp6ua4Xg1FeWBMbg1FN0Gg02LRpE9zc3DBjxgzRvh49eqBr1664ffs2Tp48We4y69WrZ2RzcHDAsGHDoFarcfbs2ZeOuyzmzJkDV1dXI3utWrUgl8uN7IbakiNHjpT7HJ06dcLAgQNFthEjRgDAc2kcP348GjduLGzb2tpi8ODB4Hke58+fF+wbNmwAAMyaNQt2dnaC3dC0VF54nsfy5ctRv359odnVgKOjI2bNmgWNRoMdO3aYjNXb21vYlsvl+OqrrwBA1HRmaIaNioqCs7OzYHdxccHs2bON/FeuXAme5zF37lyjpkiO41CzZk2TsZTnugGAjY2NyZpBNzc3IxuD8TKwJjYGo5qQkJCAgoIChIaGir50DYSGhuKXX37BpUuX0LFjx3KVmZqaigULFuDAgQO4d++eUZ+QP//8s0JifxatW7c2aScirFmzBmvXrsXVq1ehVqvB8/wLxdayZUsjmyF5yMrKqvByLl++DABGTU0A0L59+3Kf7+bNm8jMzETNmjUxZ84co/1paWkAip6Nkph6Btq2bQuZTIaLFy8KNsNrU/NbGfrEXbp0SbD973//AwCEh4eXW0d5r9ugQYMwdepUNG3aFO+99x5CQ0PRoUMHODk5lftcDEZ5YQkSg1FNyM7OBgB4enqa3G8YwWXwK4uMjAy0atUK9+/fR/v27dGlSxeoVCpIpVJcunQJu3fvRmFhYcUE/wxK0zNu3Dh89913qF27Nt555x14eXlBoVAAKKp1ep7YTH3BymRFH496vb7Cy8nOzoZEIoG7u7uRf2l6TZGRkQEAuHbtGq5du1aqX25ubrnOI5VK4ebmBrVabRRrjRo1TJbBcZzomVKr1eA47rlGDJb3uk2ZMgVubm5Yvnw5Fi1ahP/85z+QyWTo2bMnvvnmG6F/GoNREbAEicGoJhi+ZFJSUkzuf/TokcivLFatWoX79+/jyy+/NGqyW7BgAXbv3v0S0Zaf4s1GBlJTU/H999+jWbNmOHXqlKjG7NGjRyZrU8wJJycn8DyP9PR0o8SjtPtXWjlAUUf2kh2ryyIlJUXUrAUUJSOPHz8WJU+GWNPS0uDh4SHyT01NBRGJnimVSgUiwl9//fXSc06VhOM4jBgxAiNGjMDjx4/x22+/YdOmTdi6dSv++OMPXLlyBVKptELPybBeWB8kBsOCMHz4m6rVaNKkCZRKJc6ePYu8vDyj/YblHIqPGHtWeXfu3AEA9O7d22jfb7/99tyxl+RZ5y6Lu3fvgojQpUsXo+bEioitsmnevDkAmOwPFhcXV+5y/Pz84OTkhHPnzpU6PL80TF2nU6dOQafToUWLFoLN8NrUciCmnilDk+jhw4efK57nxc3NDX369MGWLVsQFhaG69ev4/bt25V6ToZ1wRIkBsOCMHRWfvDggdE+uVyOwYMHIz09HfPnzxftO3jwIA4dOoQGDRqI+rg8qzwfHx8AMJq35ueff8b+/ftfTkgZ5y4LQ2xxcXGifkfJycmYNm3aS8dW2fzjH/8AAHzxxReifl2PHj0yGjL/LGQyGT766CPcu3cPU6ZMMZkkXb16FampqUb2b7/9FsnJycK2RqPB9OnTAUA0B9PQoUMBFDVblmxKM9TUGXwAYMyYMZBKpZgxYwbu3bsnOicRvVS/tePHj4OIRDatVis0NZZ3OgYGozywJjYGw4Jo0qQJatasic2bN0OhUMDb2xscxyEyMhLOzs7CHEBz585FXFwcgoKCkJSUhG3btsHOzg5r1qyBRPL0d1FYWBj+85//YNSoUYiIiIC9vT18fHwwZMgQDBkyBF9//TUiIyMRGxsLHx8fXL58GUePHkXfvn1Njox6Htq2bQtbW1ssXrwYmZmZQlNTyeY8U3h5eSEiIgLbt2/Hm2++ic6dOyMlJQX79u1D586dhdovc6VLly5477338PPPP8Pf3x99+vRBYWEhtm7diqCgIOzdu1d0n57FnDlzcOHCBSxZsgQxMTHo1KkTPDw88PDhQ8THx+Py5cs4deqUUfNYmzZt0Lx5cwwcOBD29vbYu3cvbt68ib59+4rmE+rUqRMiIyOxdOlSNG3aFBERESAibN++HcnJyRg3bhw6deok+Pv7+2Px4sUYN24c3njjDfTp0wc+Pj549OgRTpw4gZ49e2Lx4sUvdN369OkDJycntGnTBj4+PtBqtfjll19w/fp19OvXT0icGYwKoQqnGGAwGC/A6dOnKTg4mBwdHYU5fIrPN5OWlkbjxo0jHx8fsrGxIXd3d+rXrx/Fx8ebLG/hwoXUsGFDsrGxMZrH6NKlSxQeHk4uLi7k6OhIwcHBdOTIkVLnMCp5fFnExMRQq1atyNbWVtBiwDAPUmk8efKEJk+eTHXr1iWFQkENGzakL7/8kjQajck4njUPkql5pRITE03OR/SseZBiY2ONyintWmm1Wvryyy/J19eX5HI51atXj+bNm0dnzpwhADR+/PhStZdEp9PRypUrqX379uTk5EQKhYLq1KlDb731Fi1fvpxycnKMrsOdO3dowYIF1KBBA5LL5eTj40NRUVEm55YiIlq9ejW1atWK7OzsyM7Ojlq1akWrV68uNabY2Fjq1asXubq6klwuJ29vb4qIiKCTJ0++8HVbtmwZvfPOO+Tj40NKpZLc3NyodevWtHz5ctJoNOW+XgxGeeCIStRXMhgMBqPK+PHHH/Hhhx9i2bJl+Oijjyq8/GHDhmHdunVITEw0mqeIwWA8hfVBYjAYjCrg0aNHRv1pHj58iLlz50IqlaJXr15VFBmDwQBYHyQGg8GoEhYsWICYmBh07NgRHh4euH//Pvbt24cnT54gKioKtWvXruoQGQyrhiVIDAaDUQW89dZbuH79OmJiYpCZmQmlUolmzZph7NixeO+996o6PAbD6mF9kBgMBoPBYDBKwPogMRgMBoPBYJSAJUgMBoPBYDAYJWAJEoPBYDAYDEYJWILEYDAYDAaDUQKWIDEYDAaDwWCUgCVIDAaDwWAwGCVgCRKDwWAwGAxGCViCxGAwGAwGg1ECliAxGAwGg8FglOD/AQ7bGxL3dNxqAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "for num_train_epochs in [default_num_train_epochs, \"all\"]:\n", " # Subsample the data to obtain a sample of size 245.\n", " average_epochs = (\n", " num_train_epochs\n", " if num_train_epochs != \"all\" else\n", " np.mean(list(filter(is_number, epochs)))\n", " )\n", " ys = generator.choice(\n", " [\n", " y\n", " for hparams, y in zip(\n", " model_to_evaluation_to_hparams[model][evaluation],\n", " model_to_evaluation_to_ys[model][evaluation],\n", " )\n", " if (\n", " num_train_epochs == \"all\"\n", " or hparams[\"num_train_epochs\"] == num_train_epochs\n", " )\n", " ],\n", " size=245,\n", " replace=False,\n", " )\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " ax.plot(\n", " average_epochs * ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=(\n", " f\"default epochs ({default_num_train_epochs})\"\n", " if num_train_epochs == default_num_train_epochs else\n", " f\"tuned epochs ({min(filter(is_number, epochs))}-{max(filter(is_number, epochs))})\"\n", " ),\n", " **epochs[num_train_epochs][\"style\"],\n", " )\n", " ax.fill_between(\n", " average_epochs * ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=epochs[num_train_epochs][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, 150)\n", "ax.set_ylim(0.90, 0.91)\n", "ax.set_yticks(np.linspace(0.90, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"total training epochs\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'Epoch Importance for {models[model][\"name\"]} on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As expected, the findings hold up. Adjusted for total epochs, leaving epochs at the default seems to have little effect on the tuning curve: it changes by at most a fraction of a percent.\n", "\n", "We might hypothesize a few explanations: perhaps the number of epochs doesn't matter? Or, maybe 3 is a bad default? With this larger sample, we can drill down into the epochs' effect by plotting tuning curves for various values of it:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 4.25))\n", "for num_train_epochs in filter(is_number, epochs):\n", " # Subsample the data to obtain a sample of size 245.\n", " average_epochs = num_train_epochs\n", " ys = generator.choice(\n", " [\n", " y\n", " for hparams, y in zip(\n", " model_to_evaluation_to_hparams[model][evaluation],\n", " model_to_evaluation_to_ys[model][evaluation],\n", " )\n", " if hparams[\"num_train_epochs\"] == num_train_epochs\n", " ],\n", " size=245,\n", " replace=False,\n", " )\n", "\n", " # Construct the confidence bands.\n", " lower_cdf, point_cdf, upper_cdf =\\\n", " nonparametric.EmpiricalDistribution.confidence_bands(\n", " ys,\n", " confidence=confidence,\n", " a=y_min,\n", " b=y_max,\n", " method=band,\n", " )\n", "\n", " # Plot the confidence bands.\n", " ax.plot(\n", " average_epochs * ns_grid,\n", " point_cdf.quantile_tuning_curve(ns_grid),\n", " label=f'{num_train_epochs} epoch{\"s\" if num_train_epochs > 1 else \"\"}',\n", " **epochs[num_train_epochs][\"style\"],\n", " )\n", " ax.fill_between(\n", " average_epochs * ns_grid,\n", " upper_cdf.quantile_tuning_curve(ns_grid),\n", " lower_cdf.quantile_tuning_curve(ns_grid),\n", " alpha=0.275,\n", " color=epochs[num_train_epochs][\"style\"][\"color\"],\n", " )\n", "\n", "# Format the plot.\n", "ax.set_xlim(1, 150)\n", "ax.set_ylim(0.90, 0.91)\n", "ax.set_yticks(np.linspace(0.90, 0.91, num=5))\n", "ax.spines[\"right\"].set_color(\"lightgrey\")\n", "ax.spines[\"top\"].set_color(\"lightgrey\")\n", "ax.legend(loc=\"lower right\")\n", "ax.set_xlabel(\"total training epochs\")\n", "ax.set_ylabel(\"accuracy\")\n", "ax.set_title(\n", " f'Effect of Epochs for {models[model][\"name\"]} on {evaluations[evaluation][\"name\"]}',\n", ")\n", "\n", "fig.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see moderate evidence that 3 or 4 epochs is best. Tentatively, 3 epochs may have a slight advantage over 4 early on because it can explore a bit faster—but more data is ultimately necessary to reach this conclusion." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.18" } }, "nbformat": 4, "nbformat_minor": 4 }